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Suicide is the second leading cause of death among 25–34 year olds and the third leading cause of death among 15–25 year olds in the United States. In the Emergency Department, where suicidal patients often present, estimating the risk of repeated attempts is generally left to clinical judgment. This paper presents our second attempt to determine the role of computational algorithms in understanding a suicidal patient's thoughts, as represented by suicide notes. We focus on developing methods of natural language processing that distinguish between genuine and elicited suicide notes. We hypothesize that machine learning algorithms can categorize suicide notes as well as mental health professionals and psychiatric physician trainees do. The data used are comprised of suicide notes from 33 suicide completers and matched to 33 elicited notes from healthy control group members. Eleven mental health professionals and 31 psychiatric trainees were asked to decide if a note was genuine or elicited. Their decisions were compared to nine different machine-learning algorithms. The results indicate that trainees accurately classified notes 49% of the time, mental health professionals accurately classified notes 63% of the time, and the best machine learning algorithm accurately classified the notes 78% of the time. This is an important step in developing an evidence-based predictor of repeated suicide attempts because it shows that natural language processing can aid in distinguishing between classes of suicidal notes.
It is estimated that each year 800,000 die by suicide worldwide.1 In the United States, suicide ranks second as the leading cause of death among 25–34-year olds and the third leading cause of death among 15–25-year olds.1 The challenge in a clinical setting is to predict the likelihood of a serious repeated attempt.2 This challenge is exacerbated by the heterogeneity of patients and clinical judgment. Two evidence-based, risk assessment tools that have shown conceptual success, but we know of none has been translated into standard medical practice.3,4 The long-term goal of our research is to develop and implement an evidence-based tool for measuring the likelihood of repeated suicide attempts.
To gain insight into the suicidal frame of mind, researchers have suggested analyzing national mortality statistics, psychological autopsies, nonfatal suicide attempts and documents such as suicide notes.5 Early research6,7 on suicide notes usually used an anecdotal approach incorporating descriptive information.8 Subsequent methods, based on Frederick's analytical approach have used content, classification, and theoretical-conceptual analysis. Content classification extracts explicit in formation from a suicide note, e.g. length of the message, words, and parts of speech. On the other hand, classification schemes use data such as age, sex, marital status, educational level, employment status and mental disorder.9,10,11–13 It has been suggested that simple classification analysis has its limitations,14 but comparison of note-writers with non-note-writers has consistently found no differences.15
Only a very few studies have used Theoretical-Conceptual Analysis8 despite the assertion in the first formal study of suicide notes that such an analysis has much promise.5 To address this paucity, Leenaars introduced a method that permits a theoretical analysis of suicide notes, increases the effectiveness of controls, and fosters development of some theoretical insights into problem of suicide.13,16–18 He developed a cross-cultural model that consists of intrapsychic and interpersonal cluster themes. The intrapsychic cluster includes unbearable psychological pain (UP); cognitive constriction (CC) indirect expressions (IE), e.g. ambivalence, unconscious processes; inability to adjust (IA), or psychopathology interpersonal grouping that include: disturbed interpersonal relations (IR), rejection-aggression (RA); and identification-egression (IEG) or escape.19 Subsequent research on suicide notes have supported the utility of such research indicating that both content and psychological processes are critical to prediction.20,21
Using computational methods to study suicide notes is not new,14 but applying advanced algorithms to clinical care of suicidal patients is. Recent computer analysis compared structural characteristics (average sentence length, parts of speech) with content variables (length of communication, instructions, active state, explanation provided, locus of control) in their predictive values.22 Another approach focused on semantic content of words used in suicide notes by grouping words into linguistic variables (e.g. positive, negative emotions, hearing, references to people, time, religion).23
Content, classification and theoretical-conceptual analyzes have discovered many features that can be used to assess suicide risk. Yet few features are consistent among research protocols. Most of them overlap in meaning, and some are contradictory. These earlier studies, however, were unable to take advantage of current machine learning methods for feature extraction. Our preliminary studies show that it is possible to create machine-learning models that mix content and theoretical-conceptual features and classify suicide notes with higher accuracy than mental health professionals.24 In this study we research if this trend is consistent when psychiatric physician trainees participate.
This section describe the study's methods. It has the following components: experimental design, data, feature selection, expert classification, word mending, annotation, and machine learning.
This is a cross-sectional design to test the hypothesis that machine learning algorithms can classify suicide notes as well as or better than practicing mental health professionals and psychiatry physician trainees. This study is approved by our Institutional Review Board (#2009–0664).
Completer and elicited notes were transcribed from Clues to Suicide.5 The transcribed data were then reviewed for errors and omissions. Sixty-six notes were divided into two groups: 33 completers and 33 elicitors. To create an elicitor note, Shneidman, asked individuals to write a note as if they were going to commit suicide. The groups were matched by gender (male), race (white), religion (Protestant), nationality (United States citizens); ages ranged between ages 25 and 59 years. Anyone suspected of the having a personality disorder or a tendency toward morbid thoughts was asked to write about the happiest day of their life. These notes were then discarded and the individual was not enrolled in the study.
Each completor note was paired with its elicited counterpart. The paired notes were then randomly ordered and presented to 11 mental health professionals (psychiatrists, emergency room physicians with mental health training, and psychiatric social workers) and 30 psychiatry trainees who had between one and four years of post-MD training and one psychiatric fellow (five years of training) who were asked to classify the notes as either genuine or and elicited notes. There results were compared to the learning models described below.
Feature selection, also called variable selection is a data reduction technique for selecting the most relevant features of a learning models. As irrelevant and redundant features are removed the model's accuracy increases. Multiple methods for feature selection were tested: bag-of-words, latent semantic analysis and heterogeneous selection. Ultimately, heterogeneous selection was used. To reduce co-linearity, highly correlated features were removed. To increase the certainty that a feature was not randomly selected, that feature had to appear in at least 10% of the documents.25 Finally, after preparing each bootstrap sample, only 66 features with highest information gain were selected. Information gain can intuitively be interpreted as measuring the reduction of uncertainty.26,27 Table 1 shows the feature selection and reduction processes. An initial feature space of 1,063 variables was reduced to 66. Thus, the final matrix contains 66 documents and 66 features.
Tokenization is the first step in Natural Language Processing (NLP) analysis. It identifies those basic units which need not be decomposed in subsequent analysis and prepares for analysis like word checking, ambiguity checking and disambiguation.2 This was done using an internally developed Perl program. Next, using the Penn-Treebank tag set. Using The Lingua-EN-Tagger-0.13, 2004 module, 18 part of speech tags were added to the feature space. This tagging is necessary to establish the relationship of a particular word to a particular concept
The Flesch and Kincaid readability scores produced a high information gain and were included in the feature space. These scores are designed to indicate comprehension difficulty. They include an ease of reading and text-grade level calculation.28,29 Computation of the Flesch and Kincaid indexes was completed by adding the Lingua::EN::Fathom module to our Perl program.
Each suicide note was annotated with emotional concepts. Developing an ontology to organize these concepts required both the Pubmed queries and expert literature reviews. Using the Pubmed queries, a frequency analysis of the keywords in 2,000 suicide related manuscripts was conducted. Expert review of those keywords yielded 166 suicide related manuscripts that contained suicide emotional concepts. These emotional concepts were allocated to 19 different classes. Three mental health professionals then reviewed each of the 66 notes and assigned the emotional concepts found in those notes to the appropriate classes. For example, the emotional concept of guilt was assigned to the class of emotional states.
There are multiple general types of machine learning: unsupervised, semi-supervised and supervised. Semi-supervised methods use both labeled and unlabeled data and is efficient when labeling data is expensive, which leads to small data sets. For this research the semi-supervised approach was selected mainly because the labeled data are small. Using the Waikato Environment for Knowledge Analysis (Weka) collections of data mining algorithms, we compared a number of machine learning methods.30 Those germane to this research were organized into five categories:
Some features have been used in previous studies.22,23,31 This study extends the previous work by creating a heterogeneous, multidimensional feature space. To do so, the following algorithms were used to extract and quantify the relevant content features:
Features came from different sources which led to their numeric values being in different ranges. To remedy this, feature values were normalized to a maximum value of one. In the end, a matrix with 66 documents and 49 features whose values ranged 0 and 1 was created. Since there are fewer features than documents additional features selection was not applicable.
A decision tree classifier is represented as a tree. Every node of the tree is represented by a list of possible decisions. The decision about the next branch is based on a single feature response. Leaves of the tree are represented by the decisions about which class should be assigned to a single document. For decision tree analysis the following algorithms:
The classifier algorithm is represented by a set of logical implications. If a condition for a document is true, then a class is assigned. Conditions are composed of a set of feature responses to OR-ed or AND-ed together. These rules can also be viewed as a simplified representation of a decision tree. For classification analysis the following algorithms are used:
Classifiers can be written down as mathematical equations. Decision trees and rules cannot. There are two classifiers in this category. For functional models the following algorithms are used:
Classifiers in this category do no real work until classification time. It is done by reviewing every instance in the training set separately. Only one algorithm is used in this category:
Classifiers use Bayes theorem and the assumption of independence of features. Only one algorithm is used in this category:
Bootstrapping is used to estimate classifier performance.35 Bootstrapping has been shown to provide stable estimates.36 It is the practice of estimating properties of a classifier by measuring them when sampling from an approximating distribution. The advantage of bootstrapping over other analytical methods is its simplicity. Derivation of standard error estimates and confidence intervals for complex estimators of complex parameters is straightforward. The disadvantage of bootstrapping is that while (under some conditions) it is asymptotically consistent, it does not provide general finite sample guarantees and it has a tendency to be overly optimistic. The apparent simplicity may conceal the fact that important assumptions are being made when undertaking the bootstrap analysis, e.g. independence of samples whereas these would be more formally stated in other approaches.37
In the case of mental health professionals and psychiatry trainees ratings the result is a simple weighted average and so bootstrapping is not necessary. In the case of machine-categorization estimation, a random sample of 66 documents with replacements is drawn to create a training set. After that the model is tested against all 66 documents. The 632+ method is used for bias correction.35 Each bootstrap estimate had 100 samples redrawn. The procedure was repeated 25 times to calculate the stability of the estimate.36 Thus, there was total 25 × 100 samples with replacement drawn.
Previous computer analysis of suicide notes have used t-test, chi-square or ANOVA statistics to show the best features that can discriminate between two categories. In our case, the Kolmogorov-Smirnov-test showed that not all features are normally distributed. Hence, a Wilcoxon-test is used to calculate the difference in distribution shift of a feature in elicited and in genuine notes.
Overall features most often selected for the machine algorithms included:
Words: am, and, are, Betty, but, could, did, do, everything, for, good, goodbye, had, have, he, her, I, in, is, it, Jones, leave, life, longer, love, Mary, more, mother, my, n't, now, Smith, so, that, the, things, this, to, Tom, was, with, and you. While it is reasonable to suggest that the anonymized proper nouns like Jones, Mary, Tom and Smith should not be part of the feature space, they were included because they can act as proxies for individual names;
Part of speech tagging:Cardinal number (CD), Determiner (DET), preposition or subordinating conjunction (IN), Adjective (JJ), Adjective superlative (JJS), Modal (MD), Noun, singular or mass (NN), Proper noun plural (NNP), Noun plural (NNS), Personal pronoun (PP), Prepositional phrase (PP), Personal pronoun (PRP), Possessive pronoun (PRPS), Adverb (RB), Verb, base form (VB), Verb, past participle (VBN), Verb, non-3rd person singular present (VBP), and Verb, 3rd person singular present (VBZ);
Readability: the Flesch Reading Ease score is a 100-point scale, with higher scores easier to read. The Flesch-Kincaid Grade Level is a number that corresponds with grade level; and
Emotions: giving things away, hopeless, regret and sorrow.
The human raters relied on the ontology shown in Figure 1: Suicide Ontology. This ontology is much more extensive than the four emotions aliquoted by the information gain function.
Feature selection and data reduction are listed in Table 1: Feature Selection Process and Results. Information gain was calculated only for the training data in each bootstrapped sample. From the initial 1063 possible features 66 were ultimately selected based on information gain and frequency. They included words, parts of speech, concepts and r eading scores.
Table 2: Genuine and Elicited Notes Descriptive Statistics provides mean and standard deviation of a number of note characteristics. It shows fifteen features with the smallest p-values in two sample Wilcoxon-tests. Hypothesis testing as a feature selection is only one of many methods and may not always describe the data accurately.38 Some machine learning algorithms, like LMT, have feature selection embedded. It is worth looking if different feature selection algorithms give same results. This is possible only for some simple problems.
Table 3: Human & Machine Raters in after 25 × bootstraps shows that mental health providers perform better than psychiatry trainees, but not as well as the best machine learning algorithms. For the psychiatry trainees, their overall categorization was roughly equal to the flip of a coin. Mental health providers were significantly better than trainees. They accurately classified notes about 63% of time.
Table 3 compares the machine classification algorithms with psychiatry trainees and mental health providers. On average, the best machine algorithm (Logistic Model Trees) performed significantly better than the mental health providers. All the algorithms did significantly better than the psychiatry trainees. Nine of ten machine algorithms performed significantly better than mental health providers.
Performance of different machine learning algorithms is complementary. J48/PART (0.640/0.645) suggests that a tree representation is mediocre for the data. On the other hand Linear SMO (SVM)/LMT (0.705/0.744) suggests that there is some linear separability of the two categories. In addition, a logistic regression outperformed linear support vector machines, i.e. LMT (0.744).
Table 4: Logistic Model Tree. When all features and all suicide notes are used for training and LMT is trained on the entire data set, there was only one leaf with two linear functions that categorize suicide notes. There are only three features shared by the Wilcoxon-test and LMT (maximal frequency of a word, Flesch-Kincaid grade level, cardinal number frequency). Two of the equations in Table 4 misclassified only four documents. Features selected by LMT describe sentences (number of words, depth of the parsed tree), whereas hypotheses testing selected features that describe different aspects of the notes.
Table 4 can be difficult to read and so we offer the following example as an explination. Figure 2: Hyperspace Definition shows a three dimensional cube, or a hyperspace with three features. Axis z represent the Flesch-Kinkaid reading score, Axis y represents the MLS method, and axis x represents the MDS method. In this case, the difference each methods computes creates a hyperplane. This hyperplane is shown in the center of the defined hypercube. Those features above the hyperplane are labeled with a "+". In our case this represents genuine notes. Those features below the hyperspace are labeled "−". In our case, this represents elicited notes.
The purpose of this research was to understand how well different machine learning algorithms performed compared to humans who were asked to distinguish between elicited and genuine suicide notes. We confirmed that, at least in part, machine algorithms could do as well as humans. We speculate here on the possible reasons.
One possible explanation can be found in psychological phenomenology. Psychological phenomenology focuses on the experience of the subject. True, the term experience is a complex concept, but in principal an experience is not directly observable by an external observer:39 a mental health providers cannot truly observe the internal pain of a suicidal patient. What then gives insight into how the mental health, psychiatry trainees and machine algorithms experience the act of classifying genuine and elicited suicide notes? We propose that it is the features. Figure 2 show what features the humans used for classification. There are four classes and 40 emotional concepts. The machine algorithms include four emotional concepts, 42 specific words (none emotional), and readability scores. Considering these selections it is reasonable that the human raters focused on content, while the machine algorithms focused on structure.
The results of this research has a number of potential applications. One potential application is that using machine algorithms to discriminating between genuine and elicited suicidal notes has important clinical and forensic implications, especially as it relates to advanced decision support. The findings also suggest that algorithms such as the one used in this study may have applications for the prospective clinical assessment of psychiatric patients suffering not only from suicidal ideation or intent, but also homicidal impulses which are vital to predict. Finally, this study can have relevant applications for distinguishing malingerers who feign psychiatric illness for ulterior motives.
Finally, addressing one item would enhance the strength of the study's generalizability; that is, the sample size. We understand that 66 notes is low. To our knowledge, however, this is the only data set that lends itself to this type of research.
We acknowledge E.S. Shneidman for access to the data and for comment and guidance. We acknowledge the divisions of Biomedical Informatics, Emergency Medicine and Psychiatry at Cincinnati Children's Hospital Medical Center, University of Cincinnati and the Ohio Third Frontier program for their generous support of this work. This work is funded from the Ohio Third Frontier program.
This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited.
This manuscript has been read and approved by all authors. This paper is unique and is not under consideration by any other publication and has not been published elsewhere. The authors and peer reviewers of this paper report no conflicts of interest. The authors confirm that they have permission to reproduce any copyrighted material.
PubMed Central Canada is a service of the Canadian Institutes of Health Research (CIHR) working in partnership with the National Research Council's national science library in cooperation with the National Center for Biotechnology Information at the U.S. National Library of Medicine(NCBI/NLM). It includes content provided to the PubMed Central International archive by participating publishers.


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Question about HP Envy 4500 e-All-In-One Printer, Copier, Scanner
Successfully connected new HP Envy to my network and verified it is connected with a good signal. Neither my mobile or HP laptop can see the printer. I have followed the HP instructions for connecting wirelessly to the laptop, but it doesn't see the printer entering either the IP Address or the printer hostname. I have tried rebooting everything including the router - no help. I also tried to reload the drivers with the CD - also no help. I use Norton security and have not found anything obvious that is blocking it. PC is an HP Envy dv7t; Ipad is Air 2; OS current on both. Has anyone experienced this problem and found a solution?
Posted by M Anzilotti on
Hi im new to this site but i had the same problem with an epson printer. have you tried port forwarding the printer with a static ip address. i also had to download an app for my samsung phone to connect to printer as it would not see it, also if you click open a photo on your laptop then go to print, it should ask you to install a printer. ( look for drop down menu and look for install printer not microsoft xps document writer) choose add a network or wireless printer and you should see it on your list of printers. hope this helps
Posted on Apr 20, 2015
Testimonial: "I have tried using the static IP address with no luck. It doesn't find the printer when it searches. I tried adding it through Photo Gallery, Word, via the Control Panel and using HP EPrint software. The printer shows it is connected to my wireless network but nothing can find it. I appreciate the information and if you have any other ideas, I will definitely try them."
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Where can I find cheap Jamaican vacations?
That's a question we often get here on the site.
By the way, a friend of mine joked about this topic recently.
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And I agree!
From my research I see where visitors pay sometimes up to 4 or 5 times the cost of a vacation in Jamaica at other tropical islands for the same (and even less offerings), so they just need to know.
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Below is a list of the very latest articles I posted on the site.
Nov 19, 17 09:47 PM
Re: What Makes Jamaica Special Feedback Question: There are so many things to love about Jamaica that it would be far easier to write about what one DOESN'T
Nov 18, 17 10:18 AM
Re: What Makes Jamaica Special Wellesley- I love Jamaica for all of its being - the wonderful people the beautiful sun the craziness the true sadness
Nov 18, 17 10:06 AM
Re: What Makes Jamaica Special I love Jamaica because of the welcoming atmosphere, it's a different kind of feeling when u step off the plane. Plus,
Nov 18, 17 09:50 AM
Wellesley, I was reading your recipes and the Jamaican black cake reminds me of my baking days. I have baked this cake every Christmas from I was 24
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Matthew Weiner, the creator of "Mad Men" -- whose final run of episodes premieres next weekend -- says he knew how the series would end, even before it had started.
At a Beverly Hills press conference, he said the series, which has occupied nearly a third of his life, had exceeded his wildest dreams.
Q: Have you always known how the series would end, and what the fate of Don Draper would be?
A: "I knew what would happen if we got long enough to get there... I told my wife first, then the writers, and I told Jon Hamm very early on. I think he liked it."
Q: Of all the social problems broached in the show, which ones still exist? And which do you think remains most acute, despite the decades since the era depicted in "Mad Men."
A: "The most startling thing to me is economic inequality... making people think there's social mobility, when there's not."
"I'm shocked that the conversation about race was so quiet for so many years. (People) thought when (President Barack) Obama was elected that the show would lose its relevance. And then we have new words for things like hate crimes."
Q: You recalled that when you first came up with the idea for "Mad Men," smartphones didn't exist, not to mention tablet computers and Twitter. What do you think of social media?
A: "With Twitter and Instagram, I'm an early adopter, so no judgement about it... What I miss the most about the pre-feed era is the water cooler."
GMT 06:01 2017 Thursday ,09 NovemberAT&T may have to sell CNN to merge with Time Warner
GMT 15:56 2017 Wednesday ,01 NovemberMiller retires from skiing to join Olympic TV crew
GMT 21:58 2017 Friday ,27 OctoberBahrain Television committed to best media practices
GMT 15:06 2017 Tuesday ,24 OctoberFox protected Bill O'Reilly from harassment claims
GMT 00:22 2017 Saturday ,21 OctoberYou decide the plot: Social media shows shake TV drama
GMT 15:21 2017 Friday ,13 OctoberGame of Thrones boosts Sky earnings
GMT 16:35 2017 Tuesday ,10 OctoberUK probe into Fox-Sky deal to assess Murdoch influence
GMT 22:23 2017 Saturday ,23 SeptemberSaudi National Day celebrated with great fanfare on Bahrain TV


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I am a lecturer at Curtin university. cheers
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I'm friendly.
I am finishing my business course by this month and I would like to move to a place where all the action is. I love arts, music, reading, binging on Netflix and shamelessly gobbing down Nutella from the jar. I love animals , I don't have one but I'm cool if you do, would also help with taking your dog for a walk if you're busy. During my free time I would just stay in my room and read a book or go out to the cinema or shopping or joining my friends for a drink or two. I don't party much, but if you wish to have some get-together with your friends and have some drinks, I'm cool with that too as long as it's not too noisy and excessive and too late into the night :) I'm pretty adaptable and I try not to cause inconvenience to anyone around but I am quite fun to hang around with. :)
I love to cook, have a chat and keep busy. I clean up after myself, wanting a room in a house that feels like home, feels welcoming and live with people I can be friends with. I work as a nanny in South Perth, I will need access to public transport as I don't have a car. I enjoy socialising and going out but also like to have the occasional day home chilling. Move date flexible.
I'm clean, out-going & as much as I love alone time, I'm a very sociable person as well. I lead an active lifestyle, work full time and love music, movies and adventure!
Hey guys! I'm relocating to Perth from Canberra for a full-time job in East Perth. I want to live close to work and am looking for furnished accomodation in the East-Perth vicinity. I am a clean and tidy person who loves to cook and bake. I love to work out and explore during my free time. I'm not a big party person, preferring quiet nights over a drink. Please get in touch!
I am a 23 year old girl working full time in West Perth. I'm looking for a place to live for six months from end of January to mid-July 2018 I'm very easy going, love the beach and hiking - anything outdoorsy. I'm not a big party girl but do enjoy an occasional Saturday night groove + wine!
Hi there, I'm Jeremy, I'm a 23 year old full time student studying Nursing at Curtin University and a part time disability support worker. I'm a sociable person who gets along with anyone but also enjoy my down time. I am a neat and tidy person, I would enjoy getting to know any potential housemates but also respect privacy at the same time.
I am an easy going person, tidy, organised, clean, quiet....
I am Juan from Colombia, I am 27 years old and I am interesting in a good atmosphere to live, I will be in Australia more than 2 years so I would like to enjoy as much as I can. I am going to study a Master degree of Subsea Engineering in Curtin University. I have good hygiene, I am honest and an easygoing person!
I am very clean, I enjoy doing my own thing and going out exercising. I'm a dental nurse that works shift hours so I do have days where I finish early and on those days I like to either go to the gym or the beach.
Hello there I'm Federica, a 29 yo Italian girl moved down under four years ago. I'm a very positive and happy person focus on my studies and in a very active and healthy lifestyle!!! Looking for a place to call home and friendly, sociable and clean housemates to share good vibes with. Weight training and healthy food addicted Looking forward to find the right place/people
Very quite and clean person from South Africa can make jokes all the time about the most stupidest things. I love animals 😍 Love going out on the weekends and gym and work every other day
The winners in the world are those that give most. I am a fun-loving, smart, determined and driven individual. Looking for an easy going roommate that enjoys a bit of humor and to socialize. Working full time. Love to go to them gym 5x per week. Eat very healthy. Very positive and happy person. I would love to find a flatmate who shares the same values and together we could find ourselves a nice home! Originally from Canada. I have been travelling for a year in Europe. Now I am looking to finally settle down here in Perth. I am open to suggestions on areas we can live. Please no smoking or weed in the home. Something I would really love is a bath tub and gym but those are not deal breakers.
24 year old male from the UK. Very laid back with a good sense of humour and very easy to get on with! I like to stay active with sports, trips and going for a beer or 2 but equally like chilling out at home with Netflix or even better a game of FIFA!! Looking for a room ASAP ideally with a wardrobe or some storage. I have a mattress so all good for a bed. I have a car so would be good with somewhere to park too! Looking for a room now till around mid January
I am pretty easygoing and respectful. I am usually busy with work during the week. On the weekends I like to be outdoors. I love cooking and enjoy watching the latest TV shows on netflix. Not a big party person but like to have a drink or four with friends :) I am new to Perth, so it would be great if I can find a place where I can be good friends with my flatmates.
Hi there, professional, work mon-fri. then go to gym most nights. I am clean and tidy and keep things pretty quiet. Not into having party's/groups of people at home etc. On weekends I like to get out and about, enjoying catching up with friends, go to beach etc. Looking for a nice clean modern place to live with an easy going flatmate who I can get along with.
Hey! I'm karen, originally from the Gold Coast in QLD and I've just arrived in Perth to live after spending 3years overseas mainly in the UK and NZ. I'm a sociable person, I like to keep myself busy, I'm clean, respectful, I love to have a laugh and keep things simple and easy. I have a passion for horticulture, music, food and wine! I am currently working in the city at Markets Grounds, so my working hours will vary from day to night shift. Although I do enjoy socialising after work, I am aware of other people and respectful to their routine as well as my own. I am ultimately looking for somewhere long term, easy going environment and doesn't mind having a few plants around the house! cheers :-)
I'm a fun and easygoing person easy to get to know and easy to get along with I work in retail 5 days week I enjoy my weekends. Off catching up with friends and family I don't smoke and I'm clean & tidy I'm looking for a nice large place to share
Wouldn't say no to a road trip, bit of banter, triple J, Comedy night at the Brisbane, good music gig, good food in general, maybe an episode of Rick and Morty


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Read the opening extract of the brand new A. J. Finn book before its publication on 22/01/2018
Featured Books, with extracts, by Professor Gary Sheffield, Saul David
Douglas Haig From the Somme to Victory
Professor Gary Sheffield, Saul David
Drawing on previously unknown private letters and new scholarship unavailable when The Chief was first published, eminent First World War historian Gary Sheffield reassesses Haig's reputation, assessing his critical role in preparing the army for war.
Format: Hardback - Released: 19/05/2016
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anonymous asked:
"Namjoon is a genius and namjoon is in the top tier of kpop rappers." How so? I don't disagree, I just want to hear some Namjoon appreciation.
taekook x smart tv
↳ MAMA 2016 - Boy Meets Evil edition
(aka the day Hobi and Jimin slayed us all)
Aries: Alexis Michelle
Taurus: Eureka
Gemini: Cynthia Lee Fontaine
Cancer: Farrah Moan
Leo: Aja
Virgo: Sasha Velour
Libra: Valentina
Scorpio: Charlie Hides
Sagittarius: Shea Couleé
Capricorn: Nina Bo'nina Brown
Aquarius: Trinity Taylor
Pisces: Peppermint
the olicity q: [16/?]
some fox hcs bc i'm sick and it's all i've been thinking about:
it was probably supposed to be a handshake lmao
Genndy is a hetero married man who made HIS characters (that you're not entitled to deciding what happens to them) who are grown-ass adults that can make their own decisions become romantically involved and half of the fandom is just crying about how The Straights™ get everything they want and/or that Ashi is ruined…
…even tho Genndy planned this for a long time and even talked before bout how he wanted his main character to have a girl to travel with cos it's something he dreamed about as a young boy and isn't that was a lot of people do, who have OCs? they project themselves on them? was he not allowed to do that with his own OCs?
and like damn, Genndy's probably just happy to let his most iconic character have a passionate and wholesome moment after nearly dying for the billionth time, but no it's somehow an agenda of being homo/acephobic or something about how Ashi is only there as a trophy for hetero romance despite having an entire character arc built up and learning to trust someone after having been brainwashed her entire life - like who better for her to fall in love with but a man so positive and full of goodness, the one she was told was nothing but evil and must destroy???? on her journey to find Jack and learning more about the people he helped, how could she not become infatuated learning not only that everything she knew about him was completely wrong, but that he's an actual legit nice person to admire the strength and bravery of? what's rushed or forced about that?
if Ashi was a man yall just wouldn't say a damn thing about her agency or how quickly they got together, and I think it speaks bigger volumes about you as a person if you're reducing her to merely a romantic device trope only and ignoring how amazing she is and has been as a character who doesn't need to be rescued like a damsel or that she needs a Dad to teach her like she needs to be infantilized lol
if you stop seeing her as an incredibly great woman just cos she fell for an incredibly great man that's all on you and your issues lol
and yeah you can criticize and hate the ship all you want, but so much of your reasoning and logic is flawed and I'm allowed to criticize it too
Couple: Yoongi X Reader
Genre: Angst
Part 1:
You and Yoongi have been together for almost two years. You have never been the jealous type, but sometimes you got insecure about you relationship. You never told him tho, cause you trusted that he loved you.
In that period he was working on a song with Suran and he spent all his time with her at the studio. You always thought that she was hella beautiful and talented, and the fact that she was always with you boyfriend didn't really made you happy.
You could only see him late at night, if you were still awake, and most of the times he was too busy to even answer his phone.
For the first weeks you kept quiet and didn't say anything every time he got home late, just saying he had been busy before falling asleep next to you. After sometime, you started worrying. You didn't want to seem clingy or annoying, but you started texting him more often, hoping he would understand that you were missing him and that you wanted him to be with you and not with her.
One day, he came home at a decent hour and you had the luck to see him, or so you though. You went to greet him and hug him, but he didn't hug you back.
《How was work?》you asked
《Like always》he simply answered
《What did you do with Suran?》
《Jesus Christ! Every time I come home you ask me what I did with Suran! We worked. Not that you would understand the meaning of that, you do nothing all day》he snapped
《I didn't mean it like that》you whispered
《Of course you did! Do you think I didn't see how fucking clingy you have been recently?》
《I'm not clingy, I only miss you》you shouted back
《Just admit that you are jealous and stop bothering me》
《I'm not jealous》you said
He rolled his eyes and turned back, to go the bedroom. You couldn't hold it back anymore, so you decided to take it all out.
《I'm just fucking scared that you'll leave me for her! A relationship with her would be easier, you wouldn't have to hide her from everyone all the time. And she is beautiful, talented, and famous like you. I am nothing, just a normal girl that you met at a caffe, and that clung to you right after. Sometimes I really wonder why are you with me. We barely see each other and we have to hide from the world every time we want to do something. You should be with someone like you, not waste your time with me》
You were a crying mess, and your boyfriend was looking at you with a blank look on his face.
《You know what? You're right》he said, and your heart dropped to your feet 《I should be with someone that's worth it, and not waste my time with you》
He went to the bedroom that you two shared, and left you alone in the living room, frozen in you place, with tears running down your face. You forced yourself to react, you took you phone, put on you jacked, and run out of you house.
There will be a part 2. Hope you like it.
anonymous asked:
"Namjoon is a genius and namjoon is in the top tier of kpop rappers." How so? I don't disagree, I just want to hear some Namjoon appreciation.
me: loves this ask
me: takes 8 years to respond
im sorry i took forEVER to respond pal! i wanted to do this justice and ive been hella busy
Awakening: the song that made me a Rap Monster fan (way before I knew what kpop was). The intensity and emotion in his voice still gives me chills.
Joke: his vocal control, his phrase stylization, his ability to spit so flawlessly with like no air… Joke is ALL about flow
P.D.D.: so chill… but the way he raps still draws in the listener; this is partially due to the natural depth and beauty of his voice, but a lot of it is in the energy his delivery has, even when it's relaxed as fuck. namjoon raps like he's telling a story, and the rise and fall of his voice is perfectly responsive and sensitive to his lyrics.
What Am I To You: i literally get so fucking emotional. dont debate this with me, this is honestly his best live stage ever. fucking flawless.
Do You: you see me bopping to this shit in my home? im getting fucking hyped yall as i write this
OKAY BOO BOO HOPE YOU LIKED THIS!!!!!!!!!!!!! comment/reblog with what you think makes Namjoon an amazing rapper!!
as always, if you think im wrong, pls message me ;)
anonymous asked:
Bro. Bro. i want to take a sip on this krisgate. I only joined this fandom last year so I've only read the legal side of kris leaving -law suits, sm cover up- and ive never read details because most articles talk about all 3 vaguely. Omg. What is all of this? Is there a luhan-gate and tao-gate too? what. happened.
WAit??? do new baby exo-ls really not know exactly what went down during the breakup of 2014?? like is it really that vague did sm cover up that much??? this is wild i feel like im homer abt to bestow the odyssey on all of u xdbskznks if i don't post that means sm's sent someone to take me out
it was all really confusing tbh because qe were getting info left and right and some of it was just rumors to instill panic but like basically kris didnt tell exo he was leaving he just straight up rolled out a window or something and then filed a lawsuit and it was wild bc exo started unfollowing him on ig really suddenly (rumor has it they were forced to do it mostly bc baekhyun kept following kris despite everyone else unfollowing before he suddenly unfollowed and a really wild rumor flew around that said that they used violence to make bbh listen) exo m was back in korea and on lockdown and suho did have one interview where he talked about kris (i dont really remember but i think he was telling kris to come to his senses or something this might be made up tho but i think sm was attempting to get kris to not file the lawsuit first) exo had their first concert tour in a couple days and it was honestly v sad i bet they were exhausted :( lawsuit stuff were coming out and exo didnt even talk about kris again until their second happy camp (even tho they didnt even use his name anyway) and like 2014 was a mess bc when a new lawsuit news development came out suddenly baekyeon was found out (conspiracy theorists say their relationship was used to distract the public from sm's lawsuit and their human rights violations)
anyway luhangate was relatively less dramatic mostly bc luhan told exo about it. he was basically hospitalized from being overworked the months before but sm kept making him work and his last stage was the concert in beijing and im pretty sure the rest of the band knew he was leaving because they all looked sad and kept clinging to him (specifically yixing and minseok) and luhan looked so teary eyed and so so so tired and sick it was heartbreaking. luhan left and suho said something about supporting luhan even tho luhan filed the same lawsuit as kris
taogate was just….woah….because he sprained his ankle and he was made to get medicine by himself and at the beginning of 2015 he was apparently "sent" to LA for rehab for his leg but i think exo already knew at that point (there were no bday wishes for him on ig at least not publicly….im emo…..my baektao hort cried) then a statement came out that taos father wanted him to leave for health reasons and tao just never came back he started making new music but technically speaking he hasnt filed a law suit and is technically under contract (unless they negotiated by now idk) so he wasnt allowed to sell albums, he still made mvs tho and rumor has it he still talks to exo members when he goes back to korea and he said he still talks to luhan but probably not to kris tbh….
tbh the whole 2014 mess was why exo cried so hard when they won the daesang at the end of the year because they thought they'd lost it all after everything and they worked so hard to get it back….my babies….tbh also krisgate was the reason why let them rest culture began among international kpop fans….we're all still hurt….and thats what you missed on glee
Tho lol remember when Riku convinced Xion to commit suicide and suffocated Roxas to forcibly extract his memories and personal identity, and then no one ever talked about that again.
Imagine Lance going to school and pretend to be happy and make jokes all the time then when he gos home he would get yelled at or something like that to clean up the house even tho it was his little brothers and sisters who made the mess. Then he would take a long af shower where he would just sit in the shower and contimplate life and just cry and then spend like five more minutes in the shower washing up and shit like that and then go to bed. Then the entire cycle repeats again untill one day he just breaks down at school and decides he hates his life so much so he decides to off himself in the guys locker room shower that people barely use and Shiro and Kieth catch him right before he decides to hang himself.
anonymous asked:
so we all know how victor was depressed prior to yuuri and that he sort of breathed life into him (he didn't like magically cure his depression or anything, but he made him feel *something* again). what would happen after a really big fight of theirs, when victor feels like he might lose the one thing that's brought him genuine happiness in years, even tho that'll never happen?
It's normal, Mila tells Yuuri, to have arguments in a relationship.
He watches Victor from across the rink, where he's practicing his quad flip over and over again, hardly looking up from the ice, posture stiffer than it should be. He falls, at some point, and a few people race over to help him, but his glare scares them away. They'd had arguments before, but never arguments like this.
(It hurts, but he knows it'll work out. Knows that it has to.)
Victor leaves the rink early that day. Yuuri leaves late, figures that Victor needs some space. The argument, which had been over whether or not Yuuri would retire this upcoming season, hadn't necessarily involved either of them being at fault. It was a lack of communication more than it was a genuine argument–heated emotions on both sides and the underlying need to just have a long, decent discussion.
He comes home and sets his duffel bag down by the front door, toeing off his shoes. He's not sure whether or not he should slip in bed beside Victor, or whether Victor will be in bed at all. He'd grabbed a quick dinner with Georgi and Mila and figures that Victor must've eaten by now, too.
Carefully, he steps into the doorway of their bedroom. The bed is empty.
(The couch, then, perhaps?)
Victor isn't there, either.
adam driver didn't cry when he wasn't a part of tfa marketing uwu it's all about the money they get!!!!
unless it's not? they sidelined the poc like it was nothing FINN DESERVED TO BE UP FRONT AND CENTER IN THAT FUCKING TEASER TRAILER OR THE POSTER AND IT WAS OBVIOUS JOHN WAS SUPRISED IN A BAD WAY WHEN THEY FIRST SHOWED IT DURING SWCO him and daisy were the leads, they were in this together and suddenly kathleen kennedy and his good ole pal rian johnson decided they only needed rey??? those who know me know that i simply live and breathe for my queen daisy ridley and i love rey and it's so sad to say this but even tho she's the main if a poc played her the story would become ONLY about kylo ren
it's just kathleen kennedy doing shit
john didn't even bother retweeting the trailer, he wasn't excited AT ALL remember his reaction video when tfa trailer came out…… you did wrong to that boy and i hate everyone responsible for it KELLY MADE A GODDAMN TWITTER ACCOUNT right before the release of the trailer she was probably hopeful to see her character's debut but it didn't so she didn't tweet anything and left it there
oh but adam driver, the ugly white man who plays the character that KILLED FUCKING HAN SOLO OFF is right to have that trailer all for himself
fucking rian johnson would replace rey's scenes even if he could probably for the sake of his misunderstood child being explored better
i'm just so SO MAD
Anonymous said:
Hi! Can you write one where joker finds out the reader is selfharming? Like when he catches he doing it?
THIS MIGHT/CAN BE TRIGGERING FOR SOME PEOPLE: IF YOU ARE SENSITIVE TO TOPICS SUCH AS: self harm, depressing thoughts, blood, gore etc DO NOT READ THIS! I DON'T WANT YOU GUYS TO GET TRIGGERED. I CARE ABOUT YOU SO PLEASE TAKE THIS SERIOUSLY.
Side note: I'm not trying to romanticise self harming in any way. It was requested and (warning, an opinion is coming!) I think that people should write anything really. I mean, for some murder can be an awful topic. If no one wrote about crime, there would be no detective stories, comics etc. Just saying!
Your P.O.V.
The pain was one feeling that made me feel alive. I didn't feel completely empty, numb and dead inside when I made myself feel something. When the blood tickled down my skin or the electricity pinched me, I felt alive. Funny how a few weeks ago I was scared to do this, so terrified that my boyfriend the Joker would find it. I still was, but I reached a point where I couldn't stop.
I cut myself, not so it was super obvious, but sometimes here and there. What I mostly did was something different. I used a few wires and a battery to give myself shocks. It hurt like fuck and rarely left marks. Of course my skin was bruising but J wouldn't suspect a thing. It was better so. He wouldn't understand anyway.
I was a disgrace, a stupid girl who couldn't do anything right. I felt like J would kill me off sooner or later because no one would want someone like me around for too long. Right? Who the fuck would put up with me for longer than a couple months? I was surprised J hadn't realized what kind of a fool I was by now.
It was Monday evening in Gotham city. J was out somewhere with his goons so I was all alone in the penthouse. The day had been okay so far, but then things turned upside down when I was alone. My thoughts were clogged with bad memories, all the negative things people had told me, my super awful years and simply depressing thoughts. Like Joker hated me, he only used me, the entire world hated me. Stuff like that.
A couple hours passed and then I found myself in our purple bedroom, sitting on the floor close to the bathroom just in case I had to hurry there. I stared at the electricity gadget in front of me. My vision was a little blurry because I had been crying earlier. Tonight seemed worse. I needed something worse than some shocks. ''Fuck it'' I spat out and got up, walking hazily to the bathroom. I opened a white drawer and grabbed a razor. The small cold metal could do a lot of bad things.
I looked at my almost clean wrist. It was very tempting since I used to cut my legs. J would see if I had a lot of scars on my wrist. One couldn't be too obvious. So I took a deep breath and placed the sharp metal on my wrist, pressing it gently to add pressure.Then I just stared at it with my heart beating harder than normally. I just had to drag it, down, then it would be done.
''Come on now'' I growled at myself, getting angry because I couldn't find the guts to do it. Then I leaned against the bathroom wall and I tried again. I just couldn't. My gut twisted because I was a little pissed off with myself. ''Do it you sick idiot! It's not like anyone cares'' I spoke out loud once I saw my reflection in the mirror. I saw an ugly worthless girl. I gritted my teeth and then let the anger take the best of me. I made a deep cut and then I dropped the razor on the white tile floor. It took me a couple seconds to realize what I had done.
Blood started oozing out of the fresh cut and it hurt more than I expected. ''Oh no'' I whispered and quickly pressed the wound with my clean hand. I made a huge mess! J would get so mad if he saw a ll this blood! ''Shit shit shit'' I hissed under my breath and hurried to another drawer, pulling out a towel. Then I fell down on my knees and I tried to clean the blood. It just soaked the green towel and my bleeding wound kept making a mess. Before I could do anything else, I was stopped.
''What the hell is going on?'' I heard a very familiar voice by the bathroom door. My entire body froze on the floor, every single muscle and cell just tensed up once Joker's voice rang through my ears. How long had he been here?
''Accident..it was an accident'' I lied with fear in my voice. Then I started getting lightheaded. I felt like I could just go to sleep for years. But I was also scared shitless now that J caught me. ''Don't..lie'' He tried to say as calmly as he could, but Joker wasn't the best anger controller. I could tell that he was fucking disappointed in me. The way he spoke sent a shiver down my spine.
I fucked up.
''I'm not lying'' I whispered with tears in my throat. Suddenly I felt like I could sit on the floor all night. I ignored eye contact and I focused on breathing. In and out.. in and out..
Joker growled something under his breath and I could tell that he struggled to keep as calm as he was. Then he kneeled down in front of me, roughly grabbing the towel and then my arm. I had to bite my lips so I wouldn't start whimpering when he pressed the towel on my cut, pressing it so the bleeding would stop. He faced down so I couldn't see if he was super angry or sad. It honestly scared me a little bit.
''I swear I-I'll clean up'' I broke the silence, because it was killing me. Suddenly J raised his head so he could face me. His red lips were pulled into a thin line and there was a dark, perhaps dull twist in his icy eyes. I tried my best to look into his eyes without crying, but it didn't take long to fail. His silence was just awful because I knew what he was thinking, what he was doing.
Tears blurred my vision and before I knew it they were rolling down my face. My body started trembling and then I sobbed quietly. Why wasn't he speaking to me? ''Why?'' I finally heard his voice. Now he sounded both angry and somber. I covered my eyes with my other hand and I tried to wipe away my tears, but I couldn't stop crying. It's like all my feelings I had kept inside wanted to burst out. I opened my mouth to speak, but I couldn't. I didn't know how to explain it to someone who could react in ways I couldn't imagine. Even tho he was my boyfriend..
Joker did the unexpected. He scooted right next to me and pulled me closer to him by wrapping his strong arms around me. I leaned against his chest. Soon after he started comforting me the best he could, which was a lot coming from him. J ran his fingers up and down my back, slowly, but so I felt his presence. Then he let me cry. I felt like a kid, crying wildly before it could speak. That was exactly my situation.
''What made you do this?'' He asked me with a raspy voice when I calmed down a little bit. I grabbed the towel hard and I tried to take a deep breath. I had nothing to lose anyway so I could tell him anything. ''My thoughts'' I started with a small voice. I had to tell him, because knowing J he wouldn't let me off the hook until I told him the truth and if there was a person behind something. Once a guy yelled at me in the club because I apparently bumped into him, ruining his outfit with a drink. J shot the guy in the head, just like that.
''My thoughts are so mean to me, it's like I have a bully in my head'' I tried to explain something. Then I sniffled and blinked a couple tears away. J played with my hair and let me continue. So I simply told him anything that came to my mind. I told him about my past, my bad childhood, stupid exes and how the voices in my head seemed to get louder and more cruel. Everything.
''I just feel so worthless, like you'll dump me soon and then I'll have nothing'' I whispered, partly hoping that he couldn't hear that part. Suddenly he stopped playing with my hair, making me nervous. I hadn't looked up to him while talking so I didn't know his mood. I turned a little so I could look at his face. He seemed surprisingly sad. His red lips were parted a little bit and his eyes were very tedious. First he looked into my eyes, then my tearstained cheeks and my wrist where his eyes stayed.
A wave of guilt slapped my face. I made him look so sad. It's all my fault..
''Why haven't you told me anything before?'' He wanted to know, this time being the one avoiding eye contact. My heart skipped a beat. I expected him to pull out his gun and put a bullet through me. ''Because I didn't want to bother you J. I-I didn't want to seem weak'' I explained myself carefully. J shut his mouth and looked at me again. Then he put his big hand on my cheek, gently. ''You're not weak baby. Damn..'' He growled and tilted his head from side to side. He was probably debating inside his head whether he should sound harsh or try to stay calm.
''You took down a group of armed men by yourself, you managed to get a cold man like me to feel things. Remember when we met?'' He questioned me with a deep and raspy voice. I nodded, wondering why he brought that up. ''You weren't scared. While everyone else were down on the floor, scared for their lives, you stood out. You walked up to me and I could have shot you, but no. You were so brave. So you're not weak. If you were weak, you'd be dead by now'' He told me very honestly without sugarcoats.
''But you must promise me something, and I'm not letting you break that promise'' He warned me seriously. I knew what he would say, but I still waited. ''Don't ever, I mean never ever do this to yourself again'' He tried to make a deal. The tone in his voice was harsh and I knew why. He wasn't playing around. ''I promise'' I sighed and faced down, feeling ashamed. I couldn't do anything right.
J touched my jaw and made me look at him. ''I trust you kitten, I really hope you can keep it. The next time you feel this way, speak to me. We can either talk and be like normal people, or go and find a toy to torture. You don't have to hurt yourself when there's plenty of people around'' He suggested seriously with a small smile. The suggestion sure sounded more thrilling.
''I'm sorry J'' I apologized and sighed. I knew I'd have a scar on my wrist to remind me of this whenever I saw it. ''Mmh'' J breathed out and shut his eyes.I didn't even want to picture what it would be like to find him in my shoes and me in his. If I ever saw J so broken, I'd break too. Did he feel the same way about me? Or was I in deeper than he was? I had no idea and I didn't want to find out.
''Let's clean you up'' He declared after a while. Then he got up and helped me on my feet as well. After sitting down and bleeding for a while, standing made me lightheaded. J put his hands on my shoulders so I could let my blood flow and clear my head. ''Thanks'' I murmured silently. Damn this crying made my head hurt.
''And just so you know, after a bath and sleep we're going to find your old bullies and torture them'' J let me know and then he started filling the tub. I looked at him, first without an expression but then the corners of my mouth carved into a wicked smile. He truly cared about me. ''I can't wait'' I replied and then the flame of revenge burnt down my misery, at least for the moment.
I'd make them suffer for ruining me..
Hey guys! I promised a tutorial so here's a little one.
I'm just going to explain overall what I did and not go into anything too detailed. Feel free to throw me a question if something is left too unclear!
My wings are articulated and they're not attached to my hands in any ways (Though I'm planning to change that by adding a string connected to my hand because my original way of pulling them up didn't work, they're too heavy with the feathers).
Here are some pictures of the base:
The idea of articulated wings is that the whole structure moves when you lift/move one part.
As you can see from the picture there are 3 longer and 2 shorter pieces. They're made out of plywood but I've heard that balsa wood is a better option.
There are a total of 7 (14) joints at the points where the pieces of wood overlap. Each wing is attached to the back with a hinge so that I can fold them behind me (Useful in crowds and when walking through doors).
Then there are the feathers, aka the reason I never want to touch scissors again
I used 7m (23 feet) of white felt. I soaked the whole amount of fabric (in pieces) in a mixture made out of glue and water to harden them. It takes at least one or two days for them to dry completely. I forgot to flip some of them around at least once so they got stuck on the floor, dont do that. Cover your floors! I used some big trash bags I found lying around.
I also glued some sticks to the longest feathers after cutting them out to give them more support and to make them look more feathery–like. I made probably 400–500 feathers. I recommend getting your friends to help cutting them if you don't want to lose your mind :'D
Getting the feathers attached was a tricky part. You can't just glue them to the base or they'll be sticking into odd directions when opening/closing the wings.
They need to move around freely so basically I just sticked a loop of wire to each feather. Then I put another piece of wire through it and secured it into place by twisting the two ends together. After that I glued the thing to the frames.
So beautiful! But hey, they aren't supposed to show. Hot glue is gonna be your best friend at this point.
The biggest feathers are all attached to one big "ring" made out of thicker wire. Big mess and the backside of the wings.
The feathers are in 3 layers, each layer overlapping the previous feathers:
The primaries and secondaries (1st layer) are painted from both front- and backside. The 2nd and 3rd layers cover the framework so you're gonna need a lot of feathers over them. Note that wings don't look the same from both sides!
I used the same technique for attaching the 2nd layer as for the 1st (wire-thingy) but I glued 3 feathers into each other to save time.
The 3rd layer is just glued to the top because will face the right way even if you do so.
When I had attached the feathers they were just hanging straight down (gotta love gravity). I had to do something to get them to lift up when I open the wings so I sewed them together. There goes a thread in the middle of each feather giving the wings also a maximum opening point (which is pretty big). I made some knots that the thread doesn't slip away.
You won't be able to do anything with these if you can't get them on. I made a harness that you put on like a backbag through a hole in the shirt.
And woop, there it is! A pair of hella big articulated wings.
A picture of them closed
…aaand open.
Some notes!
– This is kind of obvious but making wings like this is expensive and time consuming. I used probably around 100€ for the materials and the hours I've spent on this project are also close to a hundred (2 weeks of working from 10AM to 8PM or more, ugh)
– If you decide to do something like this please be careful not to strain yourself too much! I was crouching on the floor for many days in a row and my back and knees hurt like hell in the evenings. Also my right hand still hurts from bending all the wire although it's been a week already.
– You're gonna need space. No, not a small corner with a little table, I mean a huge amount of space. For the most of the time you need to work with the wings open (on a floor unless you have an enormous table), and mine are twice the size of me!
tho I'm a 16–year–old short girl The wingspan is around 4+ meters, so, yeah. Of course you could always make smaller ones which I really do recommend.
– Surprise, this is also really messy! Especially the feathers make a big mess and you're gonna get little pieces of felt stuck everywhere.
– This requires some sort of knowledge of using different tools. And skill. Feel free to challenge yourself but this isn't the easiest sort of thing to do. It was hard even for me although I've made a pair of (still) wings before.
– These were surprisingly easy to wear around the convention even though the place was small. They are pretty heavy but not too much to not be able to wear them for 2 days straight.
– I bet that there are a lot better ways to do some parts and I'm fixing them & updating this tutorial when I can figure out better alternatives. (Also if you can think of something before me, send me a message!)
I hope that this was at least somewhat useful although it's not really detailed. If you do make something inspired by this I'd love to see the results. Also it would be great to put a link to this so that other people can also get help making a pair uvuEdit: Check out also my "davesprite cosplay" tag at my blog for more information!


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|Home Page | Manufacturers | Antennas | Omni Ground | Specifications | Quotation | Search | E-mail
PD128 Series
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Home Page | Manufacturers | Antennas | Omni Ground | Specifications | Quotation | Search | E-mail


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Award to a USA Public Library Executive to Recognize
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Award of $1,000 to a USA public library director to recognize outstanding and innovative career achievements in implementing change and taking risks. The award criteria will cover the last seven year period of accomplishments and successes in servin...
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My Leagues
My Teams
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Other Competitions
Friendly International scores on Scoreboard.com/au. This page is about Friendly International 2017, (Rugby/World). If you're searching for results from an other competition with the name Friendly International, please select your sport in the top menu or a category (country) on the left.
Follow Friendly International 2017 live scores, final results, fixtures and ladders! Scoreboard.com offers home/away/overall Friendly International 2017 ladder and form (last 5 matches) standings.
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Carson City Sheriff's Office seeks suspects in credit card fraud
August 10, 2013
The Carson City Sheriff's Office seeks information about fraudulent use of a credit card at the Home Depot several times in May.
Several people used a victim's credit card May 7, May 22, May 23, twice May 26 and twice May 27 for purchases totalling $5,226.05, Detective Sal Acosta said.
The store is at 3185 Market St.
Anyone with information is asked to call Acosta at 775-283-7855.
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text:
Now you need to select the photo for new year nature you want to send in mms message. Click on picture you like and you will be moved into image editor, where you can create your own original mms image.
Browse by category - clicking on the link will take you to a page where you can find all «Image» pictures in more detailed categories. Perhaps there you will be able to more quickly find the image you are interested for your mms messages.
Good morning texts for sms messagesA prime candidate for natural de-selection
Mothers day greetings for sms messagesThe prophet ordered the people to pay zakat-ul-fitr before going to the eid prayer
Ramadan greetings for sms messagesHolding back the tears of sorrow caressing my withered soul cracked lonely lips bleed voices whisper 'Hold on'
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League of Legends is getting new items in season 3
iBall Andi 4.5P Glitter smartphone was launched in April 2014. The phone comes with a 4.50-inch touchscreen display with a resolution of 480 pixels by 854 pixels. iBall Andi 4.5P Glitter price in India starts from Rs. 3,999.
The iBall Andi 4.5P Glitter is powered by 1.3GHz quad-core it comes with 512MB of RAM. The phone packs 4GB of internal storage that can be expanded up to 32GB via a microSD card. As far as the cameras are concerned, the iBall Andi 4.5P Glitter packs a 8-megapixel primary camera on the rear
The iBall Andi 4.5P Glitter runs Android 4.2 and is powered by a 1450mAh removable battery.
The iBall Andi 4.5P Glitter is a dual SIM (GSM and GSM) smartphone that accepts Regular and Regular. Connectivity options include Wi-Fi, GPS, Bluetooth, FM and 3G. Sensors on the phone include Proximity sensor and Accelerometer.
How to download LoL S3 Item Store form iBall Andi 4.5P Glitter?
- Check the Android version to verify compatibility of LoL S3 Item Store with iBall Andi 4.5P Glitter.
Find Android version: go to "Settings" - "About the phone" - "Android version". Make sure LoL S3 Item Store is compatible with iBall Andi 4.5P Glitter.
- Click the download button to download LoL S3 Item Store in iBall Andi 4.5P Glitter.
- Once the download and installation are complete, find LoL S3 Item Store in your home screen and tap the icon to open it.
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Piano Tiles 2™Download
Other supported phone models
Samsung W2016
Adcom KitKat A40
Maxx Mobile GenxDroid7 AX356
ZTE Blade Q Maxi
HTC One X
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Lava X10
Zen Ultrafone Amaze 701 FHD
Intex Aqua Lions 4G
LG G Pro 2
Lenovo RocStar (A319)
Videocon Infinium Z51 Nova+
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Micromax Ninja
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Oppo Neo 5
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Yu Yunique
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Idea ID 918
MTS Blaze 5.0


text:
PSD TO HTML WORDPRESS THEME - Simple 5 Page Site - Thesis
Budget $30-250 USD
Code A Simple Homepage PSD and 4 Subpages into a Thesis Wordpress Theme Version 2.1. Each page not including the contact will feature the same header and sidebar and footer design. The pages include Home, About, Store, Contact and Services which is the same as the Home except for different content. All of the pages are simple and use the same design style and elements of the homepage. If you can make the theme "Responsive" that is a bonus.
Budget is $50 or the best price you can offer. Thanks for your time and I hope to work with you on the project.
- Ray
I have added a PSD preview of 5 pages for the site. Please note the audio features are not necessary to code in this project.
Awarded to:
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text:
Question about 2004 Ford Taurus
Posted by wfurbacher on
You could have a bad washer pump in the washer reservoir. Can you hear the pump run when you turn on the washers? It should hum pretty loud.
If yes, you could have frozen solvent in the ends of the nozzles. Are you in a very cold area?
If yes, use Prestone yellow washer solvent, it doen't freeze like the cheap blue stuff.
Posted on Jan 01, 2011
SOURCE: I have freestanding Series 8 dishwasher. Lately during the filling cycle water hammer is occurring. How can this be resolved
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The girl told police she was walking home along Lincoln Street in Werneth at about 1900 GMT on 2 March when a man dragged her into an alleyway.
He then raped her before running away down the alleyway, off Sidmouth Street.
Detectives urged parents and children to be extra cautious while they investigate the allegations.
The attacker is described as a large Asian man who was wearing blue jeans, boots and a navy padded jacket.
He was also said to smell strongly of cigarettes.
Detective Inspector Stephen Hassall from Oldham CID said: "The victim and her family are understandably traumatised and we will continue to give them all the support we can."
They are appealing for anyone who was in the area at the time to contact them.