text:
Tips of Purchasing a Watch
There are factors which a person should use so that buy the right watch.The factors will help to obtain a good watch because it is a few watches that can meet your aesthetic value as well as cost.A durable watch will be obtained by conducting research.It is important to note that buying poor watch will be expensive because you will be buying watches from time to time.In order to acquire the best watch you need to an extensive research.There are high chances that you will obtain a good watch by research because of the facts that you obtain from research.It is important also to consult experienced relatives and friends in order to find a suitable watch.In order to succeed in having the watch which is good the below hints are important.
How much money that you will pay for a watch is an important factor to consider.It is with the help of the money you possess that you will secure a watch which is good.It will be impossible to buy that watch which is too expensive.A person ought to do an estimation of the money he/she has before buying a watch.In order to avoid getting financial constrained, you should get a budget that which is good.There are high chances that you will not use more money buying a watch when your budget is good.In order to get a watch which is affordable, you need to do a price comparison for various watches.The importance of a watch is affordable is that you will save more money.
There is need to look into aesthetic appeal of watch when buying it.So that to reduce buying watches from time to time you need a watch which is decent.There is need to realize that a person will get for value for the money he/she spends by considering a watch which is decent.A person will succeed to get a watch which is quality by research as it helps to collect good details.It is vital not to use those suggestions of people that can lead you into obtaining a watch is not quality.If the watch you buy is not pleasant, you will get difficult to show it to the public.The watch you buy will be good, if you are sure it will maintain its aesthetic value for a long time.
It will be good to look at how a watch function before buying it.There is need to know that a watch will not be good, if it does not perform its functions well.It will be convenient to buy a watch that will help to track time as your move to a different location.
Recommended reference: you can try this out


text:
Li, Q.[Qi]
Co Author Listing * Home Page.
* email: Li, Q.[Qi]: qi li AT wku edu
* Accurate Estimation of the Fisher Information Matrix for the PET Image Reconstruction Problem
* Active learning via local structure reconstruction
* Adaptive and Robust Sparse Coding for Laser Range Data Denoising and Inpainting
* Adaptive appearance separation for interactive image segmentation based on Dense CRF
* Adaptive error prediction method based on multiple linear regression for reversible data hiding
* Adaptive search range control in H.265/HEVC with error propagation resilience and hierarchical adjustment
* Adaptive simplification of solution for support vector machine
* ADMM-Based Approach to Robust Array Pattern Synthesis, An
* Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild
* Aerosol Retrieval in the Autumn and Winter From the Red and 2.12~mum Bands of MODIS
* Affinity learning via a diffusion process for subspace clustering
* Algorithm for Parallel Reconstruction of Jointly Sparse Tensors with Applications to Hyperspectral Imaging, An
* Algorithms for constrained k-nearest neighbor queries over moving object trajectories
* AMI-Net: Convolution Neural Networks With Affine Moment Invariants
* Automated Retinal Vessel Segmentation Using Multiscale Analysis and Adaptive Thresholding
* Automatic blur region segmentation approach using image matting
* automatic framework for standardization of drosophila embryonic images, An
* Automatic localization of optic disk based on texture orientation voting
* Blind Image Blur Assessment Based on Markov-Constrained FCM and Blur Entropy
* Brightness Temperature Calculation of Lunar Crater: Interpretation of Topographic Effect on Microwave Data From Chang'E
* Building Extraction Based on Dense Stereo Match and Edison Algorithm
* Building segmentation through a gated graph convolutional neural network with deep structured feature embedding
* Changes in Snow Phenology from 1979 to 2016 over the Tianshan Mountains, Central Asia
* Characteristics of Warm Clouds and Precipitation in South China during the Pre-Flood Season Using Datasets from a Cloud Radar, a Ceilometer, and a Disdrometer
* Characterizing Drought and Flood Events over the Yangtze River Basin Using the HUST-Grace2016 Solution and Ancillary Data
* Classification of Mangrove Species Using Combined WordView-3 and LiDAR Data in Mai Po Nature Reserve, Hong Kong
* Codebook optimization using word activation forces for scene categorization
* Comparative Analysis of Image Fusion Methods, A
* Compressive Sensing of Sparse Tensors
* Conditional Graphical Lasso for Multi-label Image Classification
* Controlling Familywise Error Rate for Matched Subspace Detection in Dynamic FDG PET
* Correction of overexposure utilizing haze removal model and image fusion technique
* Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification
* Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images, A
* Dark line detection with line width extraction
* Decomposition of Airborne Laser Scanning Waveform Data Based on EM Algorithm
* Deep Lidar Odometry
* Deep pixel-to-pixel network for underwater image enhancement and restoration
* Deep spatial-temporal feature fusion for facial expression recognition in static images
* Deep Temporal Multimodal Fusion for Medical Procedure Monitoring Using Wearable Sensors
* DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
* DEEPPOREID: An Effective Pore Representation Descriptor in Direct Pore Matching
* Deformable Model for Image Segmentation in Noisy Medical Images, A
* Dense Attention Pyramid Networks for Multi-Scale Ship Detection in SAR Images
* Dense depth acquisition via one-shot stripe structured light
* Depth acquisition with the combination of structured light and deep learning stereo matching
* Depth Assisted Adaptive Workload Balancing for Parallel View Synthesis
* Design of a New Kind of LDPC Decoder
* Detecting image points of diverse imbalance
* Detecting image points of general imbalance
* Detection of microaneurysms using multi-scale correlation coefficients
* Discriminative Analysis Dictionary and Classifier Learning for Pattern Classification
* Discriminative Reference-Based Scene Image Categorization
* Discriminative Weighted Sparse Partial Least Squares for Human Detection
* Distributed Flight Routing and Scheduling for Air Traffic Flow Management
* Distributed Time-Varying Formation Robust Tracking for General Linear Multiagent Systems With Parameter Uncertainties and External Disturbances
* Dynamic 3D Simulation of Flood Risk Based on the Integration of Spatio-Temporal GIS and Hydrodynamic Models
* Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution
* Efficient evaluation of shortest travel-time path queries through spatial mashups
* Efficient Sub-Regional Multiple-Source Detection Based on Subspace Matrix Filtering
* Efficient task assignment in spatial crowdsourcing with worker and task privacy protection
* Embedded Online Palmprint Verification System Based on Ethernet
* empirical study on compressed sensing MRI using fast composite splitting algorithm and combined sparsifying transforms, An
* Estimating Rainfall Interception of Vegetation Canopy from MODIS Imageries in Southern China
* Estimating Real-Time Traffic Carbon Dioxide Emissions Based on Intelligent Transportation System Technologies
* Estimation of Rotation Parameters from Blurred Image
* Extract minimum positive and maximum negative features for imbalanced binary classification
* Fabric defect detection based on improved low-rank and sparse matrix decomposition
* Facial age estimation through self-paced learning
* Fast and efficient calculations of structural invariants of chirality
* Fast Fully 4-D Incremental Gradient Reconstruction Algorithm for List Mode PET Data, A
* Fast line detection method for Railroad Switch Machine Monitoring System
* Finger Vein Recognition with Gabor Wavelets and Local Binary Patterns
* From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
* Fusing subcategory probabilities for texture classification
* Fuzzy based affinity learning for spectral clustering
* Gaussian Descriptor Based on Local Features for Person Re-identification
* Generalization of SPIHT: Set Partition Coding System
* Generative Modeling of Audible Shapes for Object Perception
* Geodesic Propagation for Semantic Labeling
* Geometric Framework for Rectangular Shape Detection, A
* GIS-Based Assessment of Vulnerability to Aeolian Desertification in the Source Areas of the Yangtze and Yellow Rivers, A
* Global and Local Consistent Age Generative Adversarial Networks
* Global Spatial Similarity Optimization Scheme to Track Large Numbers of Dendritic Spines in Time-Lapse Confocal Microscopy, A
* global-to-local scheme for imbalanced point matching, A
* GRACE-Derived Terrestrial Water Storage Changes in the Inter-Basin Region and Its Possible Influencing Factors: A Case Study of the Sichuan Basin, China
* graphic-theoretic model for incremental relevance feedback in image retrieval, A
* Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors
* How well can wavelet denoising improve the accuracy of computing fundamental matrices?
* HSF-Net: Multiscale Deep Feature Embedding for Ship Detection in Optical Remote Sensing Imagery
* Hybrid No-Reference Natural Image Quality Assessment of Noisy, Blurry, JPEG2000, and JPEG Images
* Hybrid Representation of Imbalanced Points for Two-Layer Matching, A
* Hyperspectral Imagery Classification Using Sparse Representations of Convolutional Neural Network Features
* Identifying Flood Events over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations, Hydrological Models and In Situ Data
* Image Annotation by Latent Community Detection and Multikernel Learning
* Image Set Compression with Content Adaptive Sparse Dictionary
* Image-based face illumination transferring using logarithmic total variation models
* Imaging With 3-D Aperture Synthesis Radiometers
* Implicit Reconstruction of Vasculatures Using Bivariate Piecewise Algebraic Splines
* improved temporal mixture analysis unmixing method for estimating impervious surface area based on MODIS and DMSP-OLS data, An
* Indoor Topological Localization Using a Visual Landmark Sequence
* Influence of Thermal Properties and Canopy- Intercepted Snow on Passive Microwave Transmissivity of a Scots Pine, The
* Initial Results of Microwave Radiometric Imaging With Mirrored Aperture Synthesis
* Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
* Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction
* Inter-frame forgery detection based on differential energy of residue
* Interactive Hierarchical Object Proposals
* Interactive image segmentation using geodesic appearance overlap graph cut
* Interest point detection using imbalance oriented selection
* Interest Points of General Imbalance
* Intersection detection and recognition for autonomous urban driving using a virtual cylindrical scanner
* Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network
* Iterative weighted nuclear norm for X-ray cardiovascular angiogram image denoising
* Iterative weighted sparse representation for X-ray cardiovascular angiogram image denoising over learned dictionary
* Joint Alignment and Clustering via Low-Rank Representation
* Joint Beamforming and Antenna Subarray Formation for MIMO Cognitive Radios
* Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization
* Kernel matching pursuit classifier ensemble
* Krasnoselskii-Mann Algorithm With an Improved EM Preconditioner for PET Image Reconstruction, A
* LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation
* Learning deep similarity models with focus ranking for fabric image retrieval
* Learning hierarchical video representation for action recognition
* Learning scale ranges for the extraction of regions of interest
* Learning temporally correlated representations using LSTMS for visual tracking
* Least Squares Generative Adversarial Networks
* Least Squares Matching with Airborne LIDAR Data for Strip Adjustment
* Lesion Detection in Dynamic FDG-PET Using Matched Subspace Detection
* line drawings degradation model for performance characterization, A
* Linear projection methods in face recognition under unconstrained illuminations: a comparative study
* Local Co-Occurrence Selection via Partial Least Squares for Pedestrian Detection
* Localization of Drosophila embryos using connected components in scale space
* Locally-Transferred Fisher Vectors for Texture Classification
* Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification
* Low-light image enhancement with strong light weakening and bright halo suppressing
* Measurement of sinusoidal vibration from motion blurred images
* Method of Weather Radar Echo Extrapolation Based on Convolutional Neural Networks, A
* Methods and Application of Archeological Cloud Platform for Grand Sites Based on Spatio-Temporal Big Data
* MobiFeed: A location-aware news feed framework for moving users
* Model-less and model-based computationally efficient motion estimation for video compression in transportation applications
* Multi-Feature Kernel Discriminant Dictionary Learning for Classification in Alzheimer's Disease
* Multi-Feature Kernel Discriminant Dictionary Learning for Face Recognition
* Multi-focus color image fusion in the HSI space using the sum-modified-laplacian and a coarse edge map
* Multi-Resolution Mesh Based 3D Object Recognition
* Multilinear Discriminant Analysis for Higher-Order Tensor Data Classification
* Multipath Cooperative Communications Networks for Augmented and Virtual Reality Transmission
* Multiple 3-D Feature Fusion Framework for Hyperspectral Image Classification
* Multiple Linear Regression Based High-Accuracy Error Prediction Algorithm for Reversible Data Hiding, A
* Multiple-Instance Discriminant Analysis for Weakly Supervised Segment Annotation
* Multiscale Antidiffusion Approach for Gaussian Blurred Images, A
* Neural Ensemble Decoding of Rat's Motor Cortex by Kalman Filter and Optimal Linear Estimation
* New Approach to Automated Retinal Vessel Segmentation Using Multiscale Analysis, A
* new method based on bag of filters for character recognition in scene images by learning, A
* New Models for Emergency Evacuation under the Disaster Condition, A
* New Reweighted Algorithm With Support Detection for Compressed Sensing, A
* Non-Coherent Unambiguous Tracking Method for Cosine-BOC Signals Based on an S-Curve Shaping Technique
* Novel 3D Building Damage Detection Method Using Multiple Overlapping UAV Images, A
* novel edge-oriented framework for saliency detection enhancement, A
* novel template protection scheme for multibiometrics based on fuzzy commitment and chaotic system, A
* novel thin elongated objects segmentation based on fuzzy connectedness and GMM learning, A
* Occlusion cues for image scene layering
* On Collaborative Compressive Sensing Systems: The Framework, Design, and Algorithm
* On the Effectiveness of Least Squares Generative Adversarial Networks
* On-the-fly hand detection training with application in egocentric action recognition
* One-Dimensional Mirrored Interferometric Aperture Synthesis: Performances, Simulation, and Experiments
* One-pass vector quantizer design by sequential pruning of the training data
* Online multi-object tracking based on global and local features
* Optimized 3D Street Scene Reconstruction from Driving Recorder Images
* Ordered histogram of shapemes: An ordered bag-of-features based shape descriptor for efficient shape matching
* Orthogonal discriminant vector for face recognition across pose
* Ozone Profile Retrievals From the Cross-Track Infrared Sounder
* P3D-CTN: Pseudo-3D Convolutional Tube Network for Spatio-Temporal Action Detection in Videos
* Palm Vein Extraction and Matching for Personal Authentication
* Parallel Implementation of the Sparse-Matrix/Canonical Grid Method for the Analysis of Two-Dimensional Random Rough Surfaces (Three-Dimensional Scattering Problem) on a Beowulf System
* Parameter-Estimation and Restoration for Motion Blurred Images
* Patlak Image Estimation From Dual Time-Point List-Mode PET Data
* Pedestrian detection via a leg-driven physiology framework
* Perceptual evaluation of single-image super-resolution reconstruction
* Personalized text snippet extraction using statistical language models
* PET Image Reconstruction Using Information Theoretic Anatomical Priors
* Principal Feature Classification
* Quality Analysis of Open Street Map Data
* R3-Net: A Deep Network for Multioriented Vehicle Detection in Aerial Images and Videos
* Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification
* Real-time terahertz scanning imaging by use of a pyroelectric array camera and image denoising
* Real-time walkthrough of outdoor scenes using TRI-view morphing
* Reference-Based Scheme Combined With K-SVD for Scene Image Categorization
* Region based motion vector prediction using data hiding and decoder side reasoning
* Relay Beamforming for Amplify-and-Forward Multi-Antenna Relay Networks with Energy Harvesting Constraint
* Representative reference-set and betweenness centrality for scene image categorization
* Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs
* Robust and Fast Method for Sidescan Sonar Image Segmentation Using Nonlocal Despeckling and Active Contour Model, A
* Robust Face Image Super-Resolution via Joint Learning of Subdivided Contextual Model
* Robust Gait Recognition by Integrating Inertial and RGBD Sensors
* Robust HOSVD-Based Higher-Order Data Indexing and Retrieval
* Saliency Detection via Topological Feature Modulated Deep Learning
* Scene-independent feature- and classifier-based vehicle headlight and shadow removal in video sequences
* Secrecy Sum Rate Optimization for Downlink MIMO Nonorthogonal Multiple Access Systems
* Secure Beamforming in Downlink MIMO Nonorthogonal Multiple Access Networks
* Self-reinforced diffusion for graph-based semi-supervised learning
* Semantic line framework-based indoor building modeling using backpacked laser scanning point cloud
* Separation and Recovery of Geophysical Signals Based on the Kalman Filter with GRACE Gravity Data
* Shortest Path Finding Problem in Stochastic Time-Dependent Road Networks With Stochastic First-In-First-Out Property
* Similarity mapping for robust face recognition via a single training sample per person
* spatial correlation problem of noise in imaging deblurring and its solution, The
* Spatial kernel K-harmonic means clustering for multi-spectral image segmentation
* Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow
* Spatiotemporal GMM for Background Subtraction with Superpixel Hierarchy
* Springrobot: A Prototype Autonomous Vehicle and its Algorithms for Lane Detection
* Squeezed Trajectory Design for Peak RF and Integrated RF Power Reduction in Parallel Transmission MRI
* Statistical Modeling and Reconstruction of Randoms Precorrected PET Data
* Stochastic Motion and the Level Set Method in Semi-Automatic Building Detection
* Structure analysis image quality measurement
* study on the discriminability of faces from spontaneous facial expressions, A
* Supervised Geodesic Propagation for Semantic Label Transfer
* Surface-Based 3-D Dendritic Spine Detection Approach From Confocal Microscopy Images, A
* Surveillance Video Authentication Using Universal Image Quality Index of Temporal Average
* Tensorial compressive sensing of jointly sparse matrices with applications to color imaging
* TopoLAP: Topology Recovery for Building Reconstruction by Deducing the Relationships between Linear and Planar Primitives
* Total variation blind deconvolution employing split Bregman iteration
* Towards Data-Adaptive and User-Adaptive Image Retrieval by Peer Indexing
* Transform-domain in-loop filter with block similarity for HEVC
* Transformation invariant subspace clustering
* Transforming a 3-D LiDAR Point Cloud Into a 2-D Dense Depth Map Through a Parameter Self-Adaptive Framework
* Turn Signal Detection During Nighttime by CNN Detector and Perceptual Hashing Tracking
* two-stage linear discriminant analysis via QR-decomposition, A
* Unsupervised Cross-Dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns
* Using an Integer Least Squares Estimator to Connect Isolated InSAR Fringes in Earthquake Slip Inversion
* Using fine-tuned conditional probabilities for data transformation of nominal attributes
* Vehicle global 6-DoF pose estimation under traffic surveillance camera
* View-Independent Facial Action Unit Detection
* VIMS: A Video Information Management System
* VizWiz Grand Challenge: Answering Visual Questions from Blind People
* VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions
* What Can Expressive Semantics Tell: Retrieval Model for a Flash-Movie Search Engine
Includes: Li, Q.[Qi] Li, Q. Li, Q.[Qin] Li, Q.[Qiaoliang] Li, Q.[Qing] Li, Q.[Qilin] Li, Q.[Qun] Li, Q.[Qingyu] Li, Q.[Qian] Li, Q.[Qiong] Li, Q.[Qiaosi] Li, Q.[Qiang] Li, Q.[Quanlu] Li, Q.[Qiao] Li, Q.[Qianmu] Li, Q.[Qihong] Li, Q.[Qingfeng] Li, Q.[Qiuping] Li, Q.[Qisu] Li, Q.[Quannan] Li, Q.[Quanli] Li, Q.[Qiude]
236 for Li, Q.
Li, Q.A.[Qi Ang]
Co Author Listing * Accurate depth estimation using structured light and passive stereo disparity estimation
* Cooperative Secure Beamforming for AF Relay Networks With Multiple Eavesdroppers
* Dense depth estimation using adaptive structured light and cooperative algorithm
* Earthquake-Induced Building Damage Detection with Post-Event Sub-Meter VHR TerraSAR-X Staring Spotlight Imagery
* Efficient Clustering Method for Hyperspectral Optimal Band Selection via Shared Nearest Neighbor, An
* Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data
* Feature-Level Fusion of Hand Biometrics for Personal Verification Based on Kernel PCA
* fMRI Study of Chinese Sign Language in Functional Cortex of Prelingual Deaf Signers, An
* General-purpose reduced-reference image quality assessment based on perceptually and statistically motivated image representation
* Hand Gesture Recognition Framework and Wearable Gesture-Based Interaction Prototype for Mobile Devices, A
* image denoising algorithm for mixed noise combining nonlocal means filter and sparse representation technique, An
* Information Content Weighting for Perceptual Image Quality Assessment
* Joint Shape and Texture Based X-Ray Cargo Image Classification
* Local Metric Learning for Exemplar-Based Object Detection
* Lower Dimensional MLE Algorithm for Distributed Source Parameter Estimation, A
* Micro-Expression Recognition by Regression Model and Group Sparse Spatio-Temporal Feature Learning
* Motion Information Exploitation in H.264 Frame Skipping Transcoding
* Nonparametric Statistical Snake Model Using the Gradient Flow of Minimum Probability Density Integration, A
* Perceptual Image Coding Based on a Maximum of Minimal Structural Similarity Criterion
* Phase Based Disparity Estimation Using Adaptive Structured Light and Dual-Tree Complex Wavelet
* Processing of Monostatic SAR Data With General Configurations
* Quality-Aware Video
* Rank-Two Beamforming and Stochastic Beamforming for MISO Physical-Layer Multicasting with Finite-Alphabet Inputs
* Research and Application of Spatial Information Technology in Cultural Heritage Conservation-Case Study on Grand Canal of CHINA, The
* Safe Approximation Approach to Secrecy Outage Design for MIMO Wiretap Channels, A
* Secure Multimodal Biometric Verification Scheme, A
* System Design of DPF Data Recorder and Data Analysis
* Variable Precision Fuzzy Hit-or-Miss Transformation Models to Object Identification in Grey-Scale Images
* Video Quality Assessment by Incorporating a Motion Perception Model
* Video quality assessment using a statistical model of human visual speed perception
Includes: Li, Q.A.[Qi Ang] Li, Q.A.[Qi-Ang]
30 for Li, Q.A.
Li, Q.B.[Quan Bin]
Co Author Listing * Design and Realization of the Online Face Recognition System
* Rotation-Invariant Secure Image Watermarking Algorithm Incorporating Steerable Pyramid Transform, A
Includes: Li, Q.B.[Quan Bin] Li, Q.B.[Quan-Bin] Li, Q.B.[Quan-Bo]
Li, Q.D.[Qing De]
Co Author Listing * implicit skeleton-based method for the geometry reconstruction of vasculatures, An
* Segment-Based Spatial Analysis for Assessing Road Infrastructure Performance Using Monitoring Observations and Remote Sensing Data
Includes: Li, Q.D.[Qing De] Li, Q.D.[Qing-De] Li, Q.D.[Qin-Dong]
Li, Q.H.[Qiao Hong]
Co Author Listing * Blind Image Quality Assessment Based on High Order Statistics Aggregation
* Blind Image Quality Assessment Using Statistical Structural and Luminance Features
* Camera calibration with one-dimensional objects moving under gravity
* clustering-based method for unsupervised intrusion detections, A
* Constraints on general motions for camera calibration with one-dimensional objects
* Discover Patterns and Mobility of Twitter Users: A Study of Four US College Cities
* Fuzzy Mean-Shift Approach to Lidar Waveform Decomposition, A
* Local feature aggregation for blind image quality assessment
* Modeling Trees for Virtual Singapore: From Data Acquisition To Citygml Models
* Multiple-Level Feature-Based Measure for Retargeted Image Quality
* No-Reference Document Image Quality Assessment Based on High Order Image Statistics
* No-Reference Image Quality Assessment Based on Local Region Statistics
* No-reference Image Quality Assessment Based on Structural and Luminance Information
* No-Reference Quality Assessment for Multiply-Distorted Images in Gradient Domain
* Objective Quality Assessment of Screen Content Images by Uncertainty Weighting
* Statistical metric fusion for image quality assessment
* Towards Uniform Point Density: Evaluation of an Adaptive Terrestrial Laser Scanner
Includes: Li, Q.H.[Qiao Hong] Li, Q.H.[Qiao-Hong] Li, Q.H.[Qi-He] Li, Q.H.[Qing-Hua] Li, Q.H.
17 for Li, Q.H.
Li, Q.J.[Qiu Jie]
Co Author Listing * efficient data-scalable algorithm for image orientation detection, An
Includes: Li, Q.J.[Qiu Jie] Li, Q.J.[Qiu-Jie]
Li, Q.L.[Qing Li]
Co Author Listing * Person Re-id by Incorporating PCA Loss in CNN
* Supervised image segmentation based on superpixel and improved normalised cuts
* Towards Large Scale Spectral Problems via Diffusion Process
Includes: Li, Q.L.[Qing Li] Li, Q.L.[Qing-Li] Li, Q.L.[Qiao-Liang] Li, Q.L.[Qi-Lin]
Li, Q.M.[Qing Min]
Co Author Listing * 3D Face Recognition by Surface Classification Image and PCA
* Adaptive Denoising and Detection Approach for Underwater Sonar Image, An
* Fuzzy extractors for asymmetric biometric representations
* Histogram-based image segmentation using variational mode decomposition and correlation coefficients
* Human activity recognition using dynamic representation and matching of skeleton feature sequences from RGB-D images
* On the security of non-forgeable robust hash functions
* Practical Security of Non-Invertible Watermarking Schemes
* Public Watermark Detection Using Multiple Proxies and Secret Sharing
* Secure Biometric Templates from Fingerprint-Face Features
* Security Models of Digital Watermarking
* Single Fog Image Restoration with Multi-Focus Image Fusion
Includes: Li, Q.M.[Qing Min] Li, Q.M.[Qing-Min] Li, Q.M.[Qi-Ming] Li, Q.M.[Qiu-Ming]
11 for Li, Q.M.
Li, Q.N.[Qian Nan]
Co Author Listing * Classification of gait anomalies from kinect
* Contour Grouping with Partial Shape Similarity
* Disagreement-Based Multi-system Tracking
* Harvesting Mid-level Visual Concepts from Large-Scale Internet Images
* Learning a mixture of sparse distance metrics for classification and dimensionality reduction
* Shape band: A deformable object detection approach
* Skeletonization of gray-scale image from incomplete boundaries
* Skeletonization using SSM of the Distance Transform
Includes: Li, Q.N.[Qian Nan] Li, Q.N.[Qian-Nan] Li, Q.N.[Quan-Nan]
8 for Li, Q.N.
Li, Q.P.[Qiu Ping]
Co Author Listing * Global Land Surface Temperature Influenced by Vegetation Cover and PM2.5 from 2001 to 2016
* Identifying Building Functions from the Spatiotemporal Population Density and the Interactions of People among Buildings
* Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data
Includes: Li, Q.P.[Qiu Ping] Li, Q.P.[Qiu-Ping]
Li, Q.Q.[Qing Quan]
Co Author Listing * 3-D Gabor Phase-Based Coding and Matching Framework for Hyperspectral Imagery Classification, A
* Accurate direct georeferencing of aerial imagery in national coordinates
* Accurate Visual-Inertial Integrated Geo-Tagging Method for Crowdsourcing-Based Indoor Localization, An
* Activity Sequence-Based Indoor Pedestrian Localization Using Smartphones
* Adaptive Sparse Coding for Painting Style Analysis
* Adaptive Two-Component Model-Based Decomposition for Polarimetric SAR Data Without Assumption of Reflection Symmetry
* ALIMC: Activity Landmark-Based Indoor Mapping via Crowdsourcing
* Analysis of the Spatial Variation of Network-Constrained Phenomena Represented by a Link Attribute Using a Hierarchical Bayesian Model
* Anatomy of Subsidence in Tianjin from Time Series InSAR
* Application of Sentinel 2 MSI Images to Retrieve Suspended Particulate Matter Concentrations in Poyang Lake
* Automatic activity identifaction from raw GPS vehicle tracking data
* Automatic Construction Of Wi-fi Radio Map Using Smartphones
* Automatic inpainting by removing fence-like structures in RGBD images
* Bias Compensation for Rational Polynomial Coefficients of High-Resolution Satellite Imagery by Local Polynomial Modeling
* Bilevel Scale-Sets Model for Hierarchical Representation of Large Remote Sensing Images, A
* Calibration of GLONASS Inter-Frequency Code Bias for PPP Ambiguity Resolution with Heterogeneous Rover Receivers
* Chronological classification of ancient paintings using appearance and shape features
* CLRIC: Collecting Lane-Based Road Information Via Crowdsourcing
* Comparison of Machine Learning Techniques in Inferring Phytoplankton Size Classes
* Comparison Of Urban Human Movements Inferring From Multi-source Spatial-temporal Data
* comparison of waveform processing algorithms for single-wavelength LiDAR bathymetry, A
* Correcting bias in the rational polynomial coefficients of satellite imagery using thin-plate smoothing splines
* CrackTree: Automatic crack detection from pavement images
* Decomposition of LiDAR waveforms by B-spline-based modeling
* Deformed landmark fitting for sequential faces
* Detecting Spatiotemporal Features and Rationalities of Urban Expansions within the Guangdong-Hong Kong-Macau Greater Bay Area of China from 1987 to 2017 Using Time-Series Landsat Images and Socioeconomic Data
* Determining switching threshold for NIR-SWIR combined atmospheric correction algorithm of ocean color remote sensing
* Discriminative regional color co-occurrence descriptor
* Dynamic consensus of multi-agent systems under Markov packet losses with defective transition probabilities
* Dynamic Method for Generating Multi-Resolution TIN Models, A
* Efficient and lossless compression of raster maps
* efficient and reliable coarse-to-fine approach for asphalt pavement crack detection, An
* Efficient Geo-Computational Algorithms for Constructing Space-Time Prisms in Road Networks
* Estimation of Travel Time Distributions in Urban Road Networks Using Low-Frequency Floating Car Data
* Fingerprint liveness detection based on binarized statistical image feature with sampling from Gaussian distribution
* FoSA: F* Seed-growing Approach for crack-line detection from pavement images
* Gabor Cube Selection Based Multitask Joint Sparse Representation for Hyperspectral Image Classification
* Gabor Feature-Based Collaborative Representation for Hyperspectral Imagery Classification
* Geometric structure simplification of 3D building models
* Globally rotation invariant multi-scale co-occurrence local binary pattern
* Image classification towards transmission line fault detection via learning deep quality-aware fine-grained categorization
* Impacts of Building Orientation on Polarimetric Orientation Angle Estimation and Model-Based Decomposition for Multilook Polarimetric SAR Data in Urban Areas, The
* Improved Ball Pivot Algorithm-Based Ground Filtering Mechanism for LiDAR Data, An
* Improved Method for Power-Line Reconstruction from Point Cloud Data, An
* Improving Land Use/Land Cover Classification by Integrating Pixel Unmixing and Decision Tree Methods
* Indoor Topological Localization Using a Visual Landmark Sequence
* Integrating Aerial and Street View Images for Urban Land Use Classification
* Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection
* kernel support vector machine-based feature selection approach for recognizing Flying Apsaras' streamers in the Dunhuang Grotto Murals, China, A
* Land Subsidence over Oilfields in the Yellow River Delta
* Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification
* Least Squares Collocation Method for Accuracy Improvement of Mobile LiDAR Systems, A
* Local Binary Pattern-Based Hyperspectral Image Classification With Superpixel Guidance
* Local Pattern Collocations Using Regional Co-occurrence Factorization
* Mimicking Very Efficient Network for Object Detection
* Mitigation of Reflection Symmetry Assumption and Negative Power Problems for the Model-Based Decomposition
* Model-Driven Approach for 3D Modeling of Pylon from Airborne LiDAR Data, A
* Multi-Level Image Description Model Based on Digital Topology, A
* Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster Environment
* Novel Ranking-Based Clustering Approach for Hyperspectral Band Selection, A
* Novel Spatial-Temporal Voronoi Diagram-Based Heuristic Approach for Large-Scale Vehicle Routing Optimization with Time Constraints, A
* POI: Multiple Object Tracking with High Performance Detection and Appearance Feature
* Portraying Temporal Dynamics of Urban Spatial Divisions with Mobile Phone Positioning Data: A Complex Network Approach
* Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data
* random forest classifier based on pixel comparison features for urban LiDAR data, A
* Representation of Block-Based Image Features in a Multi-Scale Framework for Built-Up Area Detection
* Road Map Refinement Method Using Delaunay Triangulation for Big Trace Data, A
* Saliency prediction by Mahalanobis distance of topological feature on deep color components
* Spatial information filtering for adaptive visualization in vehicle navigation systems
* Spatio-Temporal Behavior Analysis and Pheromone-Based Fusion Model for Big Trace Data
* Stochastic Geometry Method for Pylon Reconstruction from Airborne LiDAR Data, A
* Structural 3D Reconstruction of Indoor Space for 5G Signal Simulation with Mobile Laser Scanning Point Clouds
* Superpixel-Based Multitask Learning Framework for Hyperspectral Image Classification
* Taxis' Experience Knowledge Modeling and Route Planning, The
* Three-Dimensional Local Binary Patterns for Hyperspectral Imagery Classification
* Triangular Prism Spatial Interpolation Method for Mapping Geological Property Fields, A
* Uneven Illumination Correction Algorithm for Optical Remote Sensing Images Covered with Thin Clouds, An
* Unsupervised Simplification of Image Hierarchies via Evolution Analysis in Scale-Sets Framework
* Watershed superpixel
Includes: Li, Q.Q.[Qing Quan] Li, Q.Q.[Qing-Quan] Li, Q.Q.[Qian-Qian] Li, Q.Q.[Qiao-Qiao] Li, Q.Q.[Quan-Quan] Li, Q.Q.[Qing-Qing]
79 for Li, Q.Q.
Li, Q.T.[Qing Ting]
Co Author Listing * Energy crop mapping with enhanced TM/MODIS time series in the BCAP agricultural lands
* Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring
* Monitoring Urban Dynamics in the Southeast U.S.A. Using Time-Series DMSP/OLS Nightlight Imagery
* New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral Mapping, A
* Novel Land Cover Classification Map Based on a MODIS Time-Series in Xinjiang, China, A
* Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data
* Spatial-Spectral SIFT for Hyperspectral Image Matching and Classification, A
Includes: Li, Q.T.[Qing Ting] Li, Q.T.[Qing-Ting] Li, Q.T.[Qing-Teng]
7 for Li, Q.T.
Li, Q.W.[Quan Wen]
Co Author Listing * Characteristics of Surface Deformation Detected by X-band SAR Interferometry over Sichuan-Tibet Grid Connection Project Area, China
* Multi-Camera Tracking Based on Information Fusion in Video Surveillance
* Non-concept density estimation via kernel regression for concept ranking in weakly labelled data
* Optimized Automatic Seeded Region Growing Algorithm with Application to ROI Extraction
* Weakly supervised segment annotation via expectation kernel density estimation
* Woodland Extraction from High-Resolution CASMSAR Data Based on Dempster-Shafer Evidence Theory Fusion
Includes: Li, Q.W.[Quan Wen] Li, Q.W.[Quan-Wen] Li, Q.W.[Qin-Wu] Li, Q.W.[Qing-Wu] Li, Q.W.[Qian-Wen] Li, Q.W.[Qi-Wei]
Li, Q.X.[Qiao Xuan]
Co Author Listing * Estimation of Poverty Using Random Forest Regression with Multi-Source Data: A Case Study in Bangladesh
* Interferometer Distance Measurement System Using a Linear Detector Array
Includes: Li, Q.X.[Qiao Xuan] Li, Q.X.[Qiao-Xuan] Li, Q.X.
Li, Q.Y.[Qing Yong]
Co Author Listing * Learning sparse tag patterns for social image classification
* Method for the Destriping of an Orbita Hyperspectral Image with Adaptive Moment Matching and Unidirectional Total Variation, A
* Robust SPIHT-Coded Image Transmission over Wireless Channels Using Packetization
* Semantic feature extraction using genetic programming in image retrieval
* Semantics Supervised Cluster-Based Index for Video Databases
* simple method to simulate waved water, A
* Thresholding Based on Maximum Weighted Object Correlation for Rail Defect Detection
* Triangular Prism Spatial Interpolation Method for Mapping Geological Property Fields, A
Includes: Li, Q.Y.[Qing Yong] Li, Q.Y.[Qing-Yong] Li, Q.Y.[Qing-Yang] Li, Q.Y.[Qun-Ying] Li, Q.Y.[Qiao-Yu] Li, Q.Y.[Qing-Yuan]
8 for Li, Q.Y.
Li, Q.Z.[Qin Zeng]
Co Author Listing * Automatic Extraction of Gravity Waves from All-Sky Airglow Image Based on Machine Learning
* Combined Use of Remote Sensing and Social Sensing Data in Fine-Grained Urban Land Use Mapping: A Case Study in Beijing, China, The
* Estimating Fractional Vegetation Cover From Landsat-7 ETM Reflectance Data Based on a Coupled Radiative Transfer and Crop Growth Model
* Improving the Accuracy of Fine-Grained Population Mapping Using Population-Sensitive POIs
* Inferring Sources of Dementia Progression with Network Diffusion Model
* Integrating the Continuous Wavelet Transform and a Convolutional Neural Network to Identify Vineyard Using Time Series Satellite Images
* Iterative Image Reconstruction Using Inverse Fourier Rebinning for Fully 3-D PET
* Iterative PET Image Reconstruction Using Convolutional Neural Network Representation
* Low bit-rate compression of underwater imagery based on adaptive hybrid wavelets and directional filter banks
* Low-bit-rate coding of underwater color image using improved wavelet difference reduction
* Optimal Rebinning of Time-of-Flight PET Data
* Optimization of landmark selection for cortical surface registration
* Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting
* PET Image Reconstruction Using Deep Image Prior
* Robust Parallel Analog Function Computation via Wireless Multiple-Access MIMO Channels
* Robust Proactive Monitoring via Jamming With Deterministically Bounded Channel Errors
* Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty
* Sparsity Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET
* Two-Step Urban Water Index (TSUWI): A New Technique for High-Resolution Mapping of Urban Surface Water
* Unsupervised Learning Algorithm for Intelligent Image Analysis, An
* Weakly- and Semi-supervised Panoptic Segmentation
Includes: Li, Q.Z.[Qin Zeng] Li, Q.Z.[Qin-Zeng] Li, Q.Z.[Qiang-Zi] Li, Q.Z.[Quan-Zheng] Li, Q.Z.[Qing-Zhong] Li, Q.Z.[Quan-Zhong] Li, Q.Z.[Qing-Zhen] Li, Q.Z.[Qi-Zhu]
21 for Li, Q.Z.
Index for "l"

subset: commoncrawl


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text:
Discover the present and the past of this region with guided tours through its historical towns and villages with unique landscapes:
From the promontory of Cacela Velha, a white village with an 18th century fortress and church, enjoy the stunning views out over Ria Formosa.
Tavira, with its 37 churches and a medieval castle, unfurls over both banks of the Gilão River, spanned by a charming Roman bridge.
Olhão, which started out as a fishing community, is full of legends and ancestral myths. Five legends in five town squares serve as our visit motto.


text:
LOS ANGELES — Hollywood has a new mogul.
Sony Pictures Entertainment, bedeviled in recent years by movie misfires, a devastating cyberattack and executive ejections, on Thursday named Tony Vinciquerra its chairman and chief executive. Mr. Vinciquerra, 62, who has a long TV track record but little moviemaking expertise, succeeds Michael Lynton, who is stepping down to focus on his board role at Snap, the parent company of Snapchat.
Kazuo Hirai, the president and chief executive of Sony Corporation, based in Tokyo, made the decision to hire Mr. Vinciquerra after pondering people like Peter Rice, the chairman of Fox Networks Group, and Andy Bird, chairman of Walt Disney International. While the Japanese have at times been seen as absentee landlords at Sony Pictures, Mr. Hirai has in recent months worked from the Sony lot, home to the Spider-Man movies, sitcoms like "Kevin Can Wait" and game-show chestnuts like "Jeopardy."
Mr. Hirai and Mr. Vinciquerra declined interview requests. In a statement, Mr. Hirai said, "Tony is a proven, results-oriented leader," and noted that he has "expertise in managing digital disruption." Mr. Hirai also praised Mr. Lynton.
Aside from giving agents and producers a new ring to kiss, the arrival of Mr. Vinciquerra, an understated, disciplined executive with blue-collar roots in Albany, sends several messages about Sony's future.
For starters, it is about television. The studio's film division has struggled badly, recently prompting a $1 billion write-down, but television production — all but abandoned by Sony 16 years ago — has emerged as an engine. With hits like "The Crown," "Better Call Saul" and "The Goldbergs" in its stable, Sony Pictures Television contributed more than 90 percent of the entertainment company's overall income last year. Sony also operates a vast array of fast-growing overseas cable networks.
Mr. Vinciquerra, who formerly ran the Fox Networks Group and Hearst-Argyle Television, will be charged with expanding Sony's small-screen business and steering it through a time of tectonic change. Many consumers are eschewing traditional distribution in favor of streaming services and viewing on mobile devices.
Sony is the only major television studio without direct access to a broadcast network or big cable channel in the United States. That is an increasing hindrance, as the likes of ABC, CBS, the CW, Fox and NBC buy more of their programming from in-house studios. To improve its access to distribution, Sony could make an acquisition or strategic alliance — Lionsgate, which owns Starz, has been seen as one target — or become more tightly linked with PlayStation Vue, which is operated at arms-length from Sony's entertainment businesses.
Mr. Vinciquerra has extensive deal-making experience. In recent years, he has served as a senior adviser to TPG Capital, which has invested in Hollywood firms like Creative Artists Agency and STX Entertainment. He serves on the boards of Univision and Pandora Internet Radio.
For Sony's movie division, which has struggled because of a lack of global blockbusters, Mr. Vinciquerra represents good news — at least for Thomas E. Rothman, who took over as film chairman two years ago. Mr. Rothman has a temperament that can rub some people the wrong way. But Mr. Vinciquerra respects and understands Mr. Rothman: The two men worked together at Fox.
Even so, Sony's motion picture group (Columbia Pictures, TriStar, Screen Gems, Affirm Films) has a make-or-break stretch ahead at the box office. Mr. Rothman's coming lineup includes bets like "Spider-Man: Homecoming," "Blade Runner 2049" and "Jumanji: Welcome to the Jungle." Sony is also vying to renew its contract with Eon Productions and Metro-Goldwyn-Mayer to distribute the James Bond films.
Mr. Vinciquerra, a protégé of Peter Chernin, the longtime media kingpin, is known as a hands-on operator, which would be a shift from Mr. Lynton, who was sometimes seen as giving lieutenants a wide berth. (Mr. Lynton, who was involved in the hiring of Mr. Vinciquerra, also had broader duties, including overseeing Sony Music. Rob Stringer, the chief executive of Sony Music, will eventually report directly to Mr. Hirai.)
Amid Hollywood's runaway egos, Mr. Vinciquerra has an understated, somewhat rumpled style that makes him stand out. He grew up in a two-bedroom apartment in Albany, sleeping on a foldout sofa and sweeping up hair in his grandfather's barber shop, according to a 2009 profile in The Los Angeles Times. He graduated from the State University of New York at Albany.
Early in his media career, Mr. Vinciquerra sold advertising for radio and television stations. In 1997, he joined Hearst-Argyle to help build a TV station group; when he arrived, the company owned five stations, and when he left for Fox in 2001, it had about 30.


text:
New York International Gift Fair
S. Lee Wright was selected as part of a team of jurors by the American Society of Interior Designers, New York Chapter,... Read More
A Sunday in the Garden
At the recommendation of a dear friend this past Sunday, we met at The New York Botanical Gardens in the Bronx in... Read More
Bringing a Room Back to Life
Increasing my awareness of a HOLISTIC life through working with S. Lee Wright Ltd Holistic Design, I started to see things in... Read More
Five Elements in Feng Shui – Hong Kong Shopping Mall
I LOVED seeing that a new shopping mall in Hong Kong is designed around the Five Elements!!! Such an interesting concept... Read More
Small Business Grant!
S. Lee Wright Ltd is trying to win a small business grant. In order to even qualify we need at least 250... Read More
Highlights from Design Week (Kitchen and Bath) – Bulthaup and Axor
KITCHEN New York City fills with designers from all over the country for this week long event which anchors around the International... Read More
Highlights from Design Week (Wall Coverings and Tiles) — Barkskin and Motawi
WALL COVERINGS Another one of S. Lee Wright's favorite finds from the ICFF this year was a wall coverings company called Barkskin.... Read More
Highlights from Design Week (Lighting and Furniture) — Greypants and Playable Studio
LIGHTING Our Complete and utter favorite from ICFF this year was a company called Greypants. Their greenness outdid pretty much everyone at... Read More
Highlights from Design Week (Green Walls/Living Walls) — Urbio
GREEN WALLS/LIVING WALLS We love Urbio. They make such a cool product and we had such a good time chatting with them... Read More
Highlights from Design Week (Accessories and Lighting) Upwell and Marc Trotereau
LIGHTING Although Marc Trotereau lives and works in London, which as a NY based design firm is not ideal when it comes... Read More


text:
If I asked you "How are you?," how would you answer?
Would you tell me you are good, summer was good, but busy? Would you tell me how prepared you are for school to start again or would you tell me how you are so not ready for that? No judgement, I'm just curious.
I'll say in our house we have had a good but long and fairly stressful summer as Daddy has not been here and I've been keeping the ship afloat by myself. We've made it, we've had a good summer, made some great memories, and had a lot of fun, and yeah, I'm a bit weary.
I could spend a few days alone at the beach with a hotel room and cable TV and maybe even room service. By the way, my hat is totally off to all of the full time single mamas raising kids on their own without the benefit of a husband and a paycheck. My summer has been hard, but I never had to worry about the bills getting paid.
I'm tired. I know lots of people are tired. I suspect you are tired. But what do we do when life seems to be beating us down? What do you do when there are too many jobs to do this week let alone today?
Where do you go when school starts next week, the supplies are still on the shelf in the store instead of the shelf in your closet, the kids need new shoes, it's hot as blazes outside, you still need to do school physicals, etc.? It's enough to make any mother a bit stressed.
It all reminds me of the Israelites in the desert. They had been walking for years. There is sand in their shoes. Sand in their hair. The sand is hot. No iced tea to cool them, no freeze pops for the kids. No soft beds, no air conditioning. They are weary. Then God pronounced judgement and condemnation on the people in the group who didn't follow His ways. Great. Nothing like kicking the dog while it's down, right?
But notice this: even as God condemns the ones who didn't obey Him, He promised to love them like a mother loves her children. "As a mother comforts her child, so I will comfort you. (Isaiah 66:13)"
You know those days when your kids have been totally disobedient to you and you're mad as all get out and you just want to yell and scream and maybe cry – but somehow you choose instead to hug your child and tell him that you love him? God is like that. He hates it when we sin. He gets mad when we disobey. But He loves us just the same and His love for us will never go away.
Mamas, I know this is a busy time of year. Some of you have already sent your kids off to school. I suspect some of you are weary from the summer or just from life. But I submit to you this:
God loves you more than you can imagine. He wants to hold you, love on you, encourage and support you.
He wants a relationship with you. I urge you to turn to Him.
Share what is on you heart and mind and let Him comfort you just as you comfort your children. It is one of His greatest pleasures.
We all have days when we need a king size dose of the Holy Spirit, of Holy Spirit energy to get through the day. Keep in mind that God knows that, and He's got more than enough love and energy to go around. Lean on Him, and let Him carry you through those tough days.


text:
Saturday, March 12, 2011
Rat Rod Rockers! Advertisements
The Seattle Weekly ads for the Seattle Premiere of
Rat Rod Rockers!
just hit the web. We are running several weeks of ads online and a small print ad with the Weekly for the event. We also have radio sponsoreship ads hitting KEXP and KGRG in the next week. We didn't have alot of money for advertising the event- but are doing what we can. As an indie-film company you have to maximize your ad dollars and holding an event that also corresponds to (in our case) a DVD Release Party is a two fer situation. You are announcing the event and the release. Four wall screenings can be costly, but with decent grass roots promotion you can get people out to see your little film. Key to this strategy is never letting up with your promotion. You can't just have a four wall and then move on to the next project. I look at promotion in stages. With
Rat Rod Rockers!
the first stage was the World Premiere in Everett. This opened channels to promoting the film and was the initial push. Four months later we have the second stage which is the Seattle Premiere and DVD Release Party. The third stage is car show vendor booths and event screenings all summer long with the release of a new Black & White version of the film (love the old B&W films). You have to be relentless, because in the world of DIY indie-film making, you can only count on yourself.
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text:
Undergoing even a routine medical procedure can be unnerving, no matter your age. But for children, whose understanding of rules and confidence in strangers is just developing, it can be even more terrifying. When a child is born with a condition that requires medical attention, they may become accustomed to the fear, but many medical providers are looking for ways in which that fear itself can be largely eliminated from the interaction.
Doctors in the UK are using 3D scanning technology to help children born with a congenital condition called Microtia in which the external ear is underdeveloped or undeveloped at birth; we have already seen a few cases where 3D technologies are brought into play for these children. The condition can affect one or both ears and is present in approximately one in every six to ten thousand births. Often, the children have hearing loss caused by the inability of sound to penetrate efficiently into the inner ear. Tests conducted as early as two weeks after the child is born can begin to determine the extent of the hearing loss and ongoing medical treatment results in frequent interactions with doctors and, previously, one of the more frightening aspects for the children was subjection to MRI treatments to build models for ear implants.
Now, using a handheld Artec Spider 3D scanner, the doctor can record the geometry of the child's normal ear and use that to create a highly accurate model. No fear, no fuss. This technique was pioneered by Dr. Ken Stewart of the Royal Hospital for Sick Children in Edinburgh, Scotland who recently used it to help a young girl named Ellie, and explained the process in an interview with Digital Trends:
"Most patients are born with one ear missing or a loose part of one ear. Traditionally we would use a clear acetate to take a 2D tracing of the normal ear. This would be used as a template to help carve an appropriately sized and shaped opposite ear. The 3D scanner and mirror image software allows us to produce a more accurate template."
That template is used to create a 3D printed model that the surgeons can utilize to craft a highly accurate implant specific to each patient. The dream is that one day, 3D printing will be able to work with human tissue and the ear can be printed directly, but the technology is not quite ready for that…yet. Dr. Stewart is working with a team of scientists from the Center for Regenerative Medicine and in the Chemistry Department at Edinburgh University to work towards bringing that vision into reality. He described the progress made thus far:
"Professor Bruno Peault and his team have characterized stem cells within human fat which lie next to blood vessels. We can harvest these very easily by liposuction. For a plastic surgeon that is easier than taking blood. With Professor Mark Bradley's team in the chemistry department we have identified FDA approved polymers to which the stem cells will bind and be driven to produce cartilage. We know we can 3D print in the polymers concerned. So the Artec-derived 3D scans could potentially be mirrored and 3D printed with the ideal polymer."
Anything that can not only ease a child's fear but potentially create a solution to a medical problem is clearly a game changer. It's becoming increasingly clear that 3D printing is changing the face of medicine in a number of different ways and when you think about how new the technology is, it gives a great deal of hope for its possibilities to continue to change medicine for the better. Discuss further over in the Artec 3D Scanner Used at Royal Hospital forum at 3DPB.com.[Source/Images: Artec]
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text:
Three Myths About Cisco Exams
2015-03-06 23:22:47
One of the drawbacks to the Internet is that it allows myths and "friend of a friend" stories to spread quickly, and usually the story becomes more exaggerated as it's passed along.
Cisco exams are no exception. Here are three often-repeated myths and exaggerations regarding the CCNA and CCNP exams.
1. The survey you fill out before the exam determines the questions you'll get
Before you actually start your exam, Cisco presents you with a survey asking how you prepared and how comfortable you feel with certain technologies. It's a little awkward to rate yourself on Frame Relay, ISDN, etc., especially since the exam you're about to take covers those subjects. It's human nature to think that these questions impact your exam, but they do not.
I've seen posts on the Net saying that if you rank yourself as "great" in a subject, your exam will have harder questions on that topic, and if you rank yourself lower in that same subject, your exam will be filled with questions on this topic. Cisco has debunked this myth, so get it out of your mind. Don't think too much when you're filling out the survey.
2. If you miss a question, the exam keeps asking you about that topic until you get one right
This is known as "adaptive testing", and Cisco does not use this kind of testing in its exams. Your questions are drawn from a large question pool before you start the test. Those of us who remember adaptive testing from Novell exams years ago don't particularly miss this kind of testing! (For those who haven't taken an adaptive exam, you never knew how many questions you were going to get, only that there was a minimum around 15 questions. Your exam could end at any time after that. Nerve-wracking!)
3. If you use an extra command in the simulator questions, it'll be marked wrong
The Cisco simulator engine in the CCNA and CCNP exams acts just as a router or switch would. You are not going to be penalized for using an extra command. If the engine doesn't accept a command, you'll be told that when you use it. Just configure it as you would a router or switch.
When you walk into the exam room totally prepared with a combination of theoretical knowledge, hands-on experience, and configuration troubleshooting skills, you are ready to pass. Don't let Internet gossip distract you from the task at hand — passing!
Study Notes
This will list latest study notes
What is difference between layer-3 Switching...
2015-11-17 19:20:38
The History of Cisco
2015-11-17 19:18:59
The name Cisco was actually taken from the name of the city 'San Francisco'.
Configuration Registers
2015-07-04 22:44:50
Lecturer's Message
The best way to become a network engineer
" Welcome to the world of Network Engineering. This is where we provide you with a high standard of education to prepare you for a career in a Network Engineering profession.
Our teaching system involves considerable interaction between lecturers and students, with regular tutorials and many more. Join with us and feel the difference."
- Wenura Gayan Mendis
[NDT(UOM), CCNA, CCNA Security, CCNP, CCIE(wr)]


text:
CERRITOS, Calif. - Both of El Camino Colleges' cross country teams have qualified for the CCCAA State Championships after friday's Southern California Regional Championships held at Don Knabe Park in Cerritos, Calif.
The El Camino College men's team once again came in second place behind Mt. Sac for the third time in consecutive weeks. The women's team came in 11th place and finished with the Top 14 places to ensure the team qualfied for the CCCAA State Championships.
After some close battles during the season, Mt. Sac easily won the men's race this time with a score of 59 and an average time of 19:50. Salvador Capetillo of Mt. Sac dominated the race by nearly 40 seconds ahead of second place finisher Carson Bix. Bix narrowly edged out three runners by less than second two to finish in second place with a time of 19:40.3. Ethan Comeaux was the next finisher for El Camino and the last runner to finish under 20:00 minutes. Comeaux came in 13th place with a time of 19:59. Manny Gil was the third finisher for the Warriors and came in 15th place with a time of 20:01. Matt Arruda came in 21st place with a time of 20:10 and Caleb Ko rounded out the top 5 finishers in 46th place with a time of 20:37. El Camino College held onto second place with 97 points and an average time of 19:05 while third place San Diego Mesa finished with 109 points.
The women's team just needed to come within the top 14 places to qualify for state and succeeded by comg in 11th place. Savannah Sehenuk was the top finisher for El Camino and came in 34th place with a time of 19:24. Sarah Simpson was second for the Warriors in 43rd place with a time of 19:43. Grace Hoffman came in third for the Warriors in 48th place with a time of 19:50. Hoffman led the Warriors last week at the same course and finished over one minute ahead last week. Deana Takaoka was 4th for the Warriors in 70th place with a time of 20:26. Carmen Hernandez rounded out the top 5 finishers by coming in 104th place with a time of 21:37
The Warriors will have a weekended off to prepare for the CCCAA State Championships held at Woodward Park in Fresno, Calif. The race is on November 17th, 2018 and they will compete against 21 of the state's top teams.


text:
Margaret Bourke-White
PhotoUtopia Intro: Coming soon
*Margaret Bourke-White (June 14, 1904 – August 27, 1971), was an American
photographer and documentary photographer. She is best known as the first foreign photographer permitted to take pictures of Soviet Industry, the first female war correspondent (and the first female permitted to work in combat zones) and the first female photographer for Henry Luce's Life magazine, where her photograph appeared on the first cover. She died of Parkinson's Disease about eighteen years after she developed her first symptoms.
Other site: http://www.gallerym.com/artist.cfm?ID=17
Other site: http://www.photo-seminars.com/Fame/MargaretWhite.htm
Wiki link**: http://en.wikipedia.org/wiki/Margaret_Bourke-White
**@*Wikipedia: The Free Encyclopedia. Wikimedia Foundation Inc. 1. 1. 11 - Note: Text is abridged but unaltered.
The owner of this site supports the Wikimedia Foundation. To donate to the Wikimedia foundation click here


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ODOO9: How to add a submenu under the button attachment
I have installed the module of attachments in odoo.
And, now i want to add a submenu under the button of attachment.
So, how can i proceed.
Thanks a lot in advance.
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It's beginning to look a lot like Christmas... Actually, it began to look a lot like Christmas even before Halloween, with all the stores having holiday items on their shelves. But it is much more so now, when you are running around, doing your last-minute Christmas shopping, and enjoying goodies from the gift baskets at work. I am definitely looking forward to all the wonderful sweets and foods in Germany where I will spend Christmas this year with my family, but I am a little anxious about damaging my health with loads of sugar. Our Wellness Director, Brandon Holt, shared his advice with us at work, and I am, in turn, sharing it with you. Hope you will find something that will help you stay healthy this holiday season! My comments are in italics.
1. Be realistic: don't try to lose pounds during the holidays. Instead, try to maintain your current weight. - Oh, boy, this will be hard!
2. Plan time for exercise. Exercise helps relieve holiday stress and prevent weight gain. A moderate and daily increase in exercise can help partially offset increased holiday eating. Try 10- or 15-minute brisk walks twice a day. - We are planning to do a ton of walking to see the German castles. Check.
3. Don't skip meals. Before leaving for a party, eat a light snack, such as raw vegetables or a piece of fruit to curb your appetite. You will be less tempted to over-indulge. - I love baby carrots, even though my Mom doesn't... I hope she will get some for me.
4. Survey party buffets before filling your plate. Choose your favorite foods and skip your least favorite. Include vegetables and fruits to keep your plate balanced. - I always get protein and a ton of salad for my main meal and save my carbs allowance for dessert.
5. Eat until you are satisfied, not stuffed. Savor your favorite holiday treats, while eating small portions. Sit down, get comfortable, and enjoy. - Try to keep a lively conversation with your family and friends. That way, it will take you longer to eat, and you will actually have time to feel satisfied before it is too late.
6. Be careful with beverages. Alcohol can lessen inhibitions and induce overeating; non-alcoholic beverages can be full of calories and sugar. - I love eggnog, but it is so bad for you...
6. Be careful with beverages. Alcohol can lessen inhibitions and induce overeating; non-alcoholic beverages can be full of calories and sugar. - I love eggnog, but it is so bad for you...
7. If you overeat at one meal, go light on the next. It takes 500 calories per day (or 3,500 calories per week) above your normal/maintenance consumption to gain one pound. It is impossible to gain weight from one piece of pie! - Great to hear!!!
8. Take the focus off food. Turn candy and cookie making time into non-edible projects, like making wreaths, dough art decorations, or a gingerbread house. Plan group activities with family and friends that aren't all about food. Try serving a holiday meal to the community, playing games, or going on a walking tour of decorated homes.
9. Bring your own healthy dish to a holiday gathering. This will give you at least one healthy option. - For pot lucks, I usually bring a green salad... and cookies. Does that count as a healthy dish?
10. Practice Healthy Holiday Cooking. For example:
- Gravy — Refrigerate the gravy to harden fat. Skim the fat off. This will save a whopping 56 gm of fat per cup.
- Turkey – Enjoy delicious, roasted turkey breast without the skin and save 11 grams of saturated fat per 3 oz serving.
- Don't eat things that you simply don't love… a lot of calories are wasted on Aunt B's green bean casserole that you only eat because you don't want to hurt anyone's feelings. Save the calories for the good stuff only.
- Desserts — Make a crust-less pumpkin pie. Substitute two egg whites for each whole egg in baked recipes. Replace heavy cream with evaporated skim milk in cheesecakes and cream pies. Top cakes with fresh fruit, fruit sauce, or a sprinkle of powdered sugar instead of fattening frosting.
I definitely feel motivated to make conscious food choices this Christmas. Have a wonderful, healthy, and tasty holiday season!


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The Kauffman grant awarded to KU represents an outcome of lessons learned by Kauffman from the evaluation of existing proof of concepts centers.
The IAMI model was created to incorporate and build upon best practices as defined by the Kauffman Foundation's research and programmatic initiatives.
The IAMI concept was proposed to the Kauffman Foundation Board of Trustees in mid-2008 and subsequently approved in December 2008.


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Welcoming remarks by Angel Gurría, OECD Secretary-General
"The pursuit of relevance continues to be my guiding objective in order to improve the well-being of our citizens and help design better policies for better lives (...) We will do it armed with our foundational values: openness, objectivity, boldness, pioneering spirit and sound ethics", said OECD Secretary-General.
According to A. Gurría, the most immediate challenge for Portugal is to foster investor confidence and to avoid the cyclical increase in unemployment from becoming structural.
O desafio mais imediato é o fomento da confiança dos investidores, já que spreads elevados não só põem em perigo a sustentabilidade orçamental, mas também colocam em risco a retoma da actividade , ao aumentarem os custos de financiamento em toda a economia.
Absent a major push in the next five years, we will fail to meet our commitment to the world's poorest, according to Angel Gurría. He added that raising inequality will not jeopardise future growth and prosperity only in the developing world, it will threaten the global economy as a whole.
Smarter partnerships can leverage the maximum out of aid and become the main driver of progress towards achieving the MDGs by 2015, according to Angel Gurría.
OECD Secretary General Angel Gurría encourages all countries to meet their commitments to the world's poorest by achieving the MDGs by 2015.
Attending the UN summit on the Millenium Development Goals, Angel Gurría highlighted four priority issues for Africa: we need to complement Africa's efforts in domestic resource mobilisation by an effective international action to tackle tax havens, illicit financial flows, bribery and corruption. We also need to re-double our efforts to drive forward multilateral trade liberalisation. We must direct aid to where the need is greatest
Supported by substantial stimulus measures, the US economy has started to grow again after the economic crisis but Mr. Gurría argued that efficient spending would be key to strenghten public finances. In this respect, the recent health-care reform, which includes measures to reduce the growth in health-care spending, is an important landmark, Mr. Gurría stated.
Equitable and efficient tax systems and administrations have an important role to play in securing domestic funding for development, according to Angel Gurría. He added that African policy makers need to reform tax systems and generate revenues, to complement external sources of financing, such as official development assistance, remittances and foreign direct investment.


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I think that's a different story. Depression sucks, I know personally. There are ways to get out of it though. This is my opinion, depression can be fought and beat by staying active, getting educated, doing new things, meeting new people, and getting outside. Depression can be a vicious circle, but to? end your life is silly. Life circumstances all pass in due time, and make you a stronger person for having dealt with them. You can't take situations out of your control too seriously. This is the bissmark of the marathon merry of the jinnies they left behind them. Thanks for the hint on the wording! ? I won't waste my ink anymore!!
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It was found children are generally being prescribed more antidepressants and other drugs designed to calm or stimulate the brain. While these side effects shouldnt be downplayed, when you consider the number of very dangerous, life-threatening fractures that are prevented by these drugs, the benefits dwarf the side effects, said Shane, also a professor of medicine at Columbia University in New York City.
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HRV Biofeedback Tutor Software
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HRV Biofeedback Tutor contains 22 engaging professionally-illustrated tutorials, supported by videos and animations that you can view off-line with your favorite browser. This product covers over 350 learning objectives. You can assess your mastery by taking 10-question online multiple-choice tests over each tutorial.
HRV Biofeedback Tutor reviews critical topics in Psychophysiology, HRV, Stress, Relaxation, Autonomic Nervous System, Central Nervous System, Cardiovascular System, and Respiratory System, BVP Hardware, ECG Hardware, Respiration Hardware, Drug Effects on HRV, Artifacting, Time Domain Measurement, Frequency Domain Measurement, and Nonlinear Measurements, Respiration Assessment, HRV Assessment, Resonance Frequency Assessment, Breathing Training Protocols, HRV Training Protocols, Evidence-Based Interventions, and Professional Standards.
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A fun little hovercraft printed in Taulman 645. You can print your own here, but if you can't, or if your print volume isn't big enough, buy one of these. Available in combinations of white and black, some may have a stripe if the spirit strikes me. No you don't get to choose the color of the skirt frame, you can't see it!
Main body is 200x160mm, accepts motors with 9x9 mounting patterns and a 20x20 stack. Lift motor takes a 3" prop, pushers 2.5". Battery bay is 30x75mm (perfect for Tattu 3 or 4s 650's).
Parts are shipped unglued, assemble with hot glue or Taulman Complete (for ducts/main body only).
Read all about it here. Build tips and motor mix are in the post.


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COMMUNIQUÉ by Martha Hutchens
My Life with Darwin
A Report on Evolution from the Laboratory Bench
When other Christians hear that I'm a biomedical scientist, they sometimes ask how I deal with evolution. This question could mean several things: First, do the evidential claims of "evolution" compel assent from someone who has studied biology as much as I have? Second, am I under any pressure from my colleagues and superiors to submit to its tenets? Third, does the "theory of evolution" constitute such a compelling and all-encompassing paradigm that I can't address scientific questions without reference to it?
Now "evolution" may mean any of several things to the person asking the q . . .


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There's a very profitable fine line that can be somewhat elusive when you're creating your information products, copycat or not. I mean, you can catch the wave of a popular topic and ride that wave to build your income for a while, and it can work for you. For a while.
You could produce video information products on making your own fermented foods at home right now and sell it to health-conscious people all over the world. Believe it or not, the dietary staple of many cultures (think German Sauerkraut or Korean Kimchi) is gathering myriad adherents who are experimenting with their own fermented vegetable concoctions.
Following in the footsteps of other successful information products is a viable business model, especially for info marketers who also use ads on their websites to generate revenue.
My own strong preference, however, is to build a business that is directly connected to who I am and what I do. Even if I chose to experiment with fermented foods, that topic will never become my primary area of expertise. I won't be traveling the country giving foodie seminars, becoming well known for making sauerkraut.
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Tag Archives: Work
Wintertime. As I write this, I am seated, one leg over the other, in a cozy little café near my house wearing a soft knit sweater that was sent to me by my grandmother. My tea is warm, the sky is overcast, and the trees visible to me outside the small shop windows possess no foliage to speak of. For the average Houstonian, today is a typical Winter day. It is also 65 °F outside. Such is the weather here … Continue reading
With the holiday season upon us yet again, I cannot help but find myself swept up in mood to reminisce about this year. 2017 now draws to a close, and brings with it a familiar paradoxical feeling — a first impression suggests that the year passed far too soon, yet, as with every year in my life thus far, a more thoughtful reflection begs me to recall the momentous events that proudly made up another chapter in my life. I … Continue reading
Over the past couple weeks, I have had a whirlwind of experiences – both familiar and new – as I have started my job as a critical care nurse in the Texas Medical Center (TMC). In fact, it is a little difficult for me to believe that two whole weeks have even passed since, as one can imagine, the process of orienting new nurses to the workplace is a gradual affair. This even more so is the case for newly … Continue reading
You know the type of summer that gets depicted in anime? Real summer – the sort that leaves the sweltering streets all but deserted, save for the sounds of cicadas chirping. The kind of summer that spurs people to spend their afternoons indoors in front of a boxed fan – a brief respite from the humidity outside and an excuse to serve ice cream because it will taste that much sweeter. For many around the world, such is the face of summer. … Continue reading
One way or another, I tend to keep myself busy these days. Even though I am currently not formally attending class as a full-time student, I still seem to average about one post a month. I hope that I can start posting more frequently at some point; a number of drafts are being actively worked on, but I can get a little particular about their finer details. At any rate, this post once again serves as an update about my … Continue reading


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S02E03 – Sensitive Skin Live At San Francisco LitCrawl
Bernard Meisler
Sensitive Skin live at LitCrawl, recorded at the Valencia Room, San Francisco. Instead of the usual conversation, why not give a listen to last week's Sensitive Skin reading at LitCrawl, live from San Francisco? Reade...
Poetry Month Release Reading at Bowery Poetry Club, 5-17-15
The Editors
To celebrate the release of Sensitive Skin #12, the Poetry Month special, we had a reading at the Bowery Poetry Club in NYC. About half of the published poets were able to make it. It was a lot of fun, but if you weren't the...
Sensitive Skin #11 Release Reading at Lit Crawl 2014 San Francisco
The Editors
We're very pleased to announce the release of our 11th issue, available in print and PDF format on October 15. As part of the celebration, we took part in Lit Crawl 2014 San Francisco, October 18, with a reading at Fellow Ba...
Sensitive Skin Salon – Jennifer Adams
Jennifer Adams
To celebrate the release of our sixth issue, we had a salon out in Brooklyn early in June. Here's the first video from that event, Jen Adams reading her excellent story "Medium". http://www.youtube.com/watch?v=oQ4PFxZ87B4...
Reading with Darius James, Patricia Eakins, Craig Clevenger, Heather Folsom & D. Scot Miller
The Editors
And now, the moment you've all been waiting for - Darius James reads a hilarious excerpt from his novel "Froggy Chocolates," a tender Xmas story for all the little boys and girls...wait, scratch that, nobody under 25 or so s...
A Tribute to John Coltrane
The Editors
In celebration of the birthday of John Coltrane, Sensitive Skin had its first reading in San Francisco, Thursday, September 23rd 2010 at: The Luggage Store Gallery Craig Clevenger reads from Dermaphoria, part 2 https://ww...
Sensitive Skin Live at Bowery Poetry Club, 8-15-2010
The Editors
Contributors to past, present and future issues showed up at the Bowery Poetry Club, August 15, 2010 in New York City. Much thanks to the proprietor, Bob Holman, for hosting us (and for joining us as a special guest star). E...


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A new global campaign launched by the International Planned Parenthood Federation (IPPF) today is throwing down the gauntlet to world leaders to support people's basic sexual and reproductive rights – so people can decide what happens to their bodies, who they live with and whether or not they become pregnant.
The I decide campaign will have more than 50 IPPF Member Associations holding events across the world to highlight the situation of people who are not able to make decisions about their own lives due to stigma, discrimination or abuse.
Mexico City Policy will have a devastating impact for International Planned Parenthood Federation (IPPF) with its extension far beyond family planning. Restrictions into support for HIV, maternal health and infectious diseases programmes will mean that millions will be denied lifesaving healthcare they need. The policy will hit hardest, the women living at the margins of society – the poorest, the most remote and those under 25.


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The Title Department is an integral part of the Assessor's Office which assists in performing the three basic Assessor functions.
1) Locate land parcels and verify their legal location and property description
2) Identify and confirm ownership of said parcels
3) Determine the value of the property.
The main function of the Title Department is to transfer ownership, taken from recorded deeds. This involves verifying ownership on both subdivision lots as well as on metes and bounds parcels. In addition, the Title Department will set up ownership for new subdivisions that have been recorded once the Cartography Department has verified plat geometry, assigned new parcel numbers to the lots and tracts, etc.
The Title Department is also the first step in the process when a land owner requests that multiple parcels be combined into one new tax parcel ID. There are a series of items that must be verified prior to any parcel combinations. The Title Department works together with the Cartography Department to obtain new parcel numbers and to update the title records.
For additional information, please contact the Title Department at 928-771-3226.
Outlook Web Access Links:
County Employees | Court Employees


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By Nick Aguilera
Earlier this fall, we previewed some players to watch in the Pac-12 (you can read it here). Now we shift our focus to the southeast. The Southeastern Conference that is. The SEC is packed with talent and, with 10 tournament teams in 2018, will be the most competitive conference in college baseball once again. Here are a few players to keep an eye on in the SEC.
Wil Dalton, Jr., OF, Florida
Florida is one of college baseball's powerhouses and they wouldn't be where they are today without Dalton. The sophomore transfer hit 19 home runs in his first season with the Gators last season and will carry more of the load this year with the departures of Jonathan India, JJ Schwarz, Deacon Liput, and Nick Horvath. Dalton had an .880 OPS in one of the toughest conferences in college baseball, but struck out 23.79% of the time. If Dalton wants to lead Florida back to the promised land of Omaha, Nebraska, he will have to tap into his power while also cutting down the strikeouts.
Edouard Julien, So., 2B, Auburn
Julien is one of the best second basemen in the NCAA coming into the 2019 season as his mix of power and vision make him a coveted hitter at a weak hitting position. Julien hit 17 home runs and led the SEC in RBIs with 62 as a freshman last season while hitting .275 with an OBP of .398. With the departure of Casey Mize, Auburn will have a little bit more trouble getting back to the postseason, but if Julien can lead the offense, the absence of Mize will be hardly noticeable. He still has one more year until he is draft eligible, so seeing if he can improve on his incredible freshman season will be a small storyline, but he should be one of the most electric hitters in the NCAA.
Matt Cronin, Jr., P, Arkansas
In October, I wrote about Razorback junior Dominic Fletcher and their heartbreaking loss in the College World Series (Shameless plug!). The guy on the mound for the botched pop up in game two of that series was Matt Cronin. The lefty had 14 saves in 25 appearances last season and had a WHIP of 0.81. The ERA wasn't as pretty at 3.54, but struck nearly 11 batters per nine innings. Over his first two college seasons, Cronin has 90 strikeouts and 26 walks in 66 innings of work. Now one of the best relievers in college baseball, Cronin will have a lot of weight on his shoulders following that historic collapse in June. With a lot of help around him, the Razorbacks should be yelling "Su-ey!" quite often once again this season.
Cam Shepherd, Jr., SS, Georgia
Shepherd was a first-team freshman All-American in 2017 after he hit .307 with an .806 OPS for the Bulldogs. He didn't have the sophomore season to live up to his first season, but Shepherd will still be a key part of Georgia's offense. While some of Shepherd's offensive numbers regressed, he did improve some aspects of his game. He walked 40 times in 221 at-bats, 27 more than he had during his freshman campaign. Shepard can help Georgia make even more noise in the postseason this year, as the team won 39 games, but were knocked out by Duke in regionals.
Zach Daniels, So., OF, Tennessee
Daniels did not have stats that would wow you in his freshman season. In fact, they kind of make you want to look away from them, much like all of Tennessee's seasons post-Rod Delmonico (zing!). Daniels hit .161 over 93 at-bats last season, but the tools are there. He flashed a little bit of pop after hitting five home runs in his first year, but in order to become an everyday contributor for the Volunteers, Daniels will need to make contact. Daniels also walked at a 20% clip, but nulled that by striking out 33% of the time. The outfielder will be one of the most interesting breakout candidates in the SEC this year, as his mix of power and plate vision can help him become not only an everyday player for the Vols, but also a legit draft prospect.
J.T. Ginn, Fr., P/IF, Mississippi State
Ginn was both selected in the first round of the 2018 MLB Draft, but didn't sign after he failed to reach a deal with the Dodgers. Now, he will play two years for the Bulldogs, a team that was already a College World Series semifinalist last season, before being a draft eligible sophomore. First-round high school talents are rare to come across in the NCAA, but the Dawgs landed Ginn who should have an immediate impact on the team. Ginn is a solid piece to add to an already electric lineup. With their scrappy leader Jake Mangum back, Mississippi State already looked dangerous this season, but the addition of Ginn should make them a shoo-in for a CWS berth.


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MANILA (PHILIPPINE DAILY INQUIRER/ASIA NEWS NETWORK) - The menu for President Rodrigo Duterte's inauguration on Thursday (June 30) featured food that showcases the rich Filipino culinary and the Duterte administration's down-to-earth approach, according to the presidential palace.
Davao's famous durian provided the sweet ending to the former Davao mayor's swearing in at the Malacanang Palace, the palace said in the statement.
The fruit were served in tartlets and not in its unadulterated pungent form.
The menu comprised lumpiang ubod (coconut pith spring roll), pandesal (bun) with kesong puti (goat cheese), and Vigan longganisa (native sausage) grilled on the spot, monggo (mung bean) soup with smoked fish and alugbati (malabar spinach) in demitasse cups, fried saba (Cardava banana) slices; and durian tartlet.
Pine-mango cooler and dalandan (native orange) juice completed the line-up.
Via Mare, a Palace-accredited concessionaire, prepared the dishes.
Monggo soup is said to be a favourite of the incoming president, who had said he wanted a simple ceremony for his inauguration.
He decided to forgo the usual public rally held for the inauguration of past presidents and held his at Malacanang instead.


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Your privacy is important to us. We have updated our privacy policy to better explain how we use data on this site. Read it here
There are small but significant changes
A bill passed by GOP legislators "makes it harder to prosecute people and groups that violate campaign finance laws."
— PolitiFact North Carolina
on Monday, January 14th, 2019


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Defending Connecticut Amateur champion Zach Zaback advances to quarterfinals
The defending champion is still alive in the 113th Connecticut Amateur Championship at the Black Hall Club in Old Lyme.
Zach Zaback from TPC River Highlands in Cromwell won his first two matches Wednesday to advance to Thursday morning's quarterfinals. Zaback defeated Clark Robinson (Ellington Ridge CC) 1-up in the opening round and Mike Klosowski (Topstone GC) 5 and 3. Zaback will face Nick Torrance (Lake of Isles GC) in the quarterfinals.
Evan Grenus, also of River Highlands, will face former Xavier High and current Penn State golfer Geoff Vartelas in the quarterfinals. And yet another TPC golfer, Patrick Hallisey, advanced to the quarterfinals, where he will face Greg Reilly from CC of Darien.
The other quarterfinal matchup pits C.J. Swift from the Great River GC in Milford against Chris Wiatr from CC of Waterbury.
The semifinals will be held Thursday afternoon and the 36-hole final on Friday.