Feature LDA:a supervised topic model for automatic detection of web API documentations from the web

Web APIs have gained increasing popularity in recent Web service technology development owing to its simplicity of technology stack and the proliferation of mashups. However, efficiently discovering Web APIs and the relevant documentations on the Web is still a challenging task even with the best resources available on the Web. In this paper we cast the problem of detecting the Web API documentations as a text classification problem of classifying a given Web page as Web API associated or not. We propose a supervised generative topic model called feature latent Dirichlet allocation (feaLDA) which offers a generic probabilistic framework for automatic detection of Web APIs. feaLDA not only captures the correspondence between data and the associated class labels, but also provides a mechanism for incorporating side information such as labelled features automatically learned from data that can effectively help improving classification performance. Extensive experiments on our Web APIs documentation dataset shows that the feaLDA model outperforms three strong supervised baselines including naive Bayes, support vector machines, and the maximum entropy model, by over 3% in classification accuracy. In addition, feaLDA also gives superior performance when compared against other existing supervised topic models.

The dark side of the internet:protecting yourself and your family from online criminals

In less than a decade, personal computers have become part of our daily lives. Many of us come into contact with computers every day, whether at work, school or home. As useful as the new technologies are, they also have a darker side. By making computers part of our daily lives, we run the risk of allowing thieves, swindlers, and all kinds of deviants directly into our homes. Armed with a personal computer, a modem and just a little knowledge, a thief can easily access confidential information, such as details of bank accounts and credit cards. This book helps people avoid harm at the hands of Internet criminals. It offers a tour of the more dangerous parts of the Internet, as the author explains who the predators are, their motivations, how they operate and how to protect against them. In less than a decade, personal computers have become part of our daily lives. Many of us come into contact with computers every day, whether at work, school or home. As useful as the new technologies are, they also have a darker side. By making computers part of our daily lives, we run the risk of allowing thieves, swindlers, and all kinds of deviants directly into our homes. Armed with a personal computer, a modem and just a little knowledge, a thief can easily access confidential information, such as details of bank accounts and credit cards. This book is intended to help people avoid harm at the hands of Internet criminals. It offers a tour of the more dangerous parts of the Internet, as the author explains who the predators are, their motivations, how they operate and how to protect against them. Behind the doors of our own homes, we assume we are safe from predators, con artists, and other criminals wishing us harm. But the proliferation of personal computers and the growth of the Internet have invited these unsavory types right into our family rooms. With a little psychological knowledge a con man can start to manipulate us in different ways. A terrorist can recruit new members and raise money over the Internet. Identity thieves can gather personal information and exploit it for criminal purposes. Spammers can wreak havoc on businesses and individuals. Here, an expert helps readers recognize the signs of a would-be criminal in their midst. Focusing on the perpetrators, the author provides information about how they operate, why they do it, what they hope to do, and how to protect yourself from becoming a victim.

Online information seeking by patients with bipolar disorder:results from an international multisite survey

Background: Information seeking is an important coping mechanism for dealing with chronic illness. Despite a growing number of mental health websites, there is little understanding of how patients with bipolar disorder use the Internet to seek information. Methods: A 39 question, paper-based, anonymous survey, translated into 12 languages, was completed by 1222 patients in 17 countries as a convenience sample between March 2014 and January 2016. All patients had a diagnosis of bipolar disorder from a psychiatrist. Data were analyzed using descriptive statistics and generalized estimating equations to account for correlated data. Results: 976 (81 % of 1212 valid responses) of the patients used the Internet, and of these 750 (77 %) looked for information on bipolar disorder. When looking online for information, 89 % used a computer rather than a smartphone, and 79 % started with a general search engine. The primary reasons for searching were drug side effects (51 %), to learn anonymously (43 %), and for help coping (39 %). About 1/3 rated their search skills as expert, and 2/3 as basic or intermediate. 59 % preferred a website on mental illness and 33 % preferred Wikipedia. Only 20 % read or participated in online support groups. Most patients (62 %) searched a couple times a year. Online information seeking helped about 2/3 to cope (41 % of the entire sample). About 2/3 did not discuss Internet findings with their doctor. Conclusion: Online information seeking helps many patients to cope although alternative information sources remain important. Most patients do not discuss Internet findings with their doctor, and concern remains about the quality of online information especially related to prescription drugs. Patients may not rate search skills accurately, and may not understand limitations of online privacy. More patient education about online information searching is needed and physicians should recommend a few high quality websites.

Patient/carers' recollection of medicines related information from an out-patient clinic appointment

AIM: To identify what medicines related information children/young people or their parents/carers are able to recall following an out-patient clinic appointment. METHOD: A convenience sample of patients' prescribed at least one new long-term (>6 weeks) medicine were recruited from a single UK paediatric hospital out-patient pharmacy. A face-to-face semi-structured questionnaire was administered to participants when they presented with their prescription. The questionnaire included the following themes: names of the medicines, therapeutic indication, dose regimen, duration of treatment and adverse effects.The results were analysed using Microsoft Excel 2013. RESULTS: One hundred participants consented and were included in the study. One hundred and forty-five medicines were prescribed in total. Participants were able to recall the names of 96 (66%) medicines and were aware of the therapeutic indication for 142 (97.9%) medicines. The dose regimen was accurately described for 120 (82.8%) medicines with the duration of treatment known for 132 (91%). Participants mentioned that they had been advised about side effects for 44 (30.3%) medicines. Specific counselling points recommended by the BNFc1, were either omitted or not recalled by participants for the following systemic treatments: cetirizine (1), chlorphenamine (1), desmopressin (2), hydroxyzine (2), itraconazole (1), piroxicam (2), methotrexate (1), stiripentol (1) and topiramate (1). CONCLUSION: Following an out-patient consultation, where a new medicine is prescribed, children and their parents/carers are usually able to recall the indication, dose regimen and duration of treatment. Few were able to recall, or were told about, possible adverse effects. This may include some important drug specific effects that require vigilance during treatment.Patients, along with families and carers, should be involved in the decision to prescribe a medicine.2 This includes a discussion about the benefits of the medicine on the patient's condition and possible adverse effects.2 Treatment side effects have been shown to be a factor in treatment non-adherence in paediatric long-term medical conditions.3 Practitioners should explain to patients, and their family members or carers where appropriate, how to identify and report medicines-related patient safety incidents.4 However, this study suggests that medical staff may not be comfortable discussing the adverse effects of medicines with patients or their parents/carers.Further research in to the shared decision making process in the paediatric out-patient clinic when a new long-term medicine is prescribed is required to further support medicines adherence and the patient safety agenda.