Effectiveness of intensive psychotherapy in a day hospital evaluated with Neurotic Personality Inventory KON-2006

Aim. The aim of this study was to determine the effectiveness of intensive psychotherapy in the day hospital for neurotic and behavioral disorders as well as the assessment of the usefulness of the Neurotic Personality Inventory KON-2006 for routine evaluation of psychotherapy effectiveness. Method. The results of the questionnaires KON-2006 completed by 690 patients (women - 69%, men - 31%, mean age 29 years, SD 8 years) were analyzed. All persons have received comprehensive, mainly psychodynamic psychotherapy (group with elements of individual therapy), in the years 2004-2009 in the Day Hospital for Neurotic and Behavioral Disorders in Krakow. Results. The vast majority of patients achieved after the end of psychotherapy beneficial changes in personality corresponding to various degrees of improvements in terms of the questionnaire KON-2006. Only a few patients deteriorated, somewhat more numerous group did not achieve significant changes or the effects are not possible for unambiguous interpretation. These results are highly correlated with those obtained in the personality questionnaire NEO-PI-R. Conclusions. The Neurotic Personality Inventory KON-2006 appears to be an adequate tool to assess the results of intensive, comprehensive psychotherapy, conducted in the day hospital for neurotic and behavioral disorders

Are neurotic personality traits and neurotic symptoms intensity associated with suicidal thoughts reported by patients of a day hospital for neurotic disorders?

Aim. Analysis of prevalence and intensity of suicidal thoughts and their associations with neurotic personality traits as well as neurotic symptoms intensity in patients participating in qualification for hospitalization in a day hospital for treatment of neurotic and behavioral disorders. Methods. The results of Symptom Checklist KO”0”, Neurotic Personality Questionnaire KON-2006 and Life Inventory of 1063 patients (739 women and 324 men), admitted to psychotherapy in a day hospital because of neurotic, behavioral and personality disorders. Results. In the population of patients coming for treatment in the day hospital, the presence of suicidal ideations (SI) was common (reaching one-third of the respondents) and was regardless of the respondents’ gender associated with significantly higher global symptom level (OWK) and significantly greater global neurotic personality disintegration (XKON) as well as significantly higher values of most of the neurotic personality inventory scales. None of the neurotic personality traits reduced the risk of suicidal ideation nor was associated with low SI arduousness. Conclusions. Day hospital patients reporting SI are a subgroup burdened with more severe neurotic disorders and comorbid personality disorders. Thus, the persons reporting in symptom questionnaires willingness to take one’s own life, although relatively frequently encountered, deserve special attention due to the greater severity of their symptoms

First-Come-First-Served for Online Slot Allocation and Huffman Coding

Can one choose a good Huffman code on the fly, without knowing the underlying distribution? Online Slot Allocation (OSA) models this and similar problems: There are n slots, each with a known cost. There are n items. Requests for items are drawn i.i.d. from a fixed but hidden probability distribution p. After each request, if the item, i, was not previously requested, then the algorithm (knowing the slot costs and the requests so far, but not p) must place the item in some vacant slot j(i). The goal is to minimize the sum, over the items, of the probability of the item times the cost of its assigned slot. The optimal offline algorithm is trivial: put the most probable item in the cheapest slot, the second most probable item in the second cheapest slot, etc. The optimal online algorithm is First Come First Served (FCFS): put the first requested item in the cheapest slot, the second (distinct) requested item in the second cheapest slot, etc. The optimal competitive ratios for any online algorithm are 1+H(n-1) ~ ln n for general costs and 2 for concave costs. For logarithmic costs, the ratio is, asymptotically, 1: FCFS gives cost opt + O(log opt). For Huffman coding, FCFS yields an online algorithm (one that allocates codewords on demand, without knowing the underlying probability distribution) that guarantees asymptotically optimal cost: at most opt + 2 log(1+opt) + 2.Comment: ACM-SIAM Symposium on Discrete Algorithms (SODA) 201

Pedagogy First, Technology Second: teaching & learning information literacy online

This paper explores the pedagogical and technical issues, challenges and outcomes of creating an online information literacy course. Currently under development, this course will be offered as a parallel study option to Advanced Information Retrieval Skills (AIRS:IFN001 ) for QUT postgraduate students, a compulsory face-to-face course for all QUT research students. The aim of this project is to optimise students’ access to AIRS:IFN001 and meet the University’s objectives regarding flexible delivery and online teaching. Still in its developmental stages, AIRS::Online extends beyond the current notion of static online information literacy tutorials by providing a facilitated, student focussed learning environment comprising content and learning experiences enhanced by appropriate multimedia technology and resources which engage students in planned facilitated and/or self-paced learning events. Course assessment is formative and summative, and is comprised of a research log and reflective journal to provide a means for reviewing the content and key process of advanced information searching and retrieval

Breaking the News: First Impressions Matter on Online News

A growing number of people are changing the way they consume news, replacing the traditional physical newspapers and magazines by their virtual online versions or/and weblogs. The interactivity and immediacy present in online news are changing the way news are being produced and exposed by media corporations. News websites have to create effective strategies to catch people's attention and attract their clicks. In this paper we investigate possible strategies used by online news corporations in the design of their news headlines. We analyze the content of 69,907 headlines produced by four major global media corporations during a minimum of eight consecutive months in 2014. In order to discover strategies that could be used to attract clicks, we extracted features from the text of the news headlines related to the sentiment polarity of the headline. We discovered that the sentiment of the headline is strongly related to the popularity of the news and also with the dynamics of the posted comments on that particular news.Comment: The paper appears in ICWSM 201

Online Theological Education: Perspectives from First-Generation Asian Americans

This essay explores the use of online asynchronous discussions from the perspective of first-generation Asian American seminarians. The pedagogical paradigm implicit in these online forums assumes values that compete and even contradict the values these students bring from their native educational experiences. Combined with the language difficulties, asynchronous discussions can present a serious challenge to the educational goals of both the institution and the student. Despite these barriers, first-generation Asian American students often see the incorporation of the asynchronous discussions as a welcome enhancement to their theological education

Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data

Usage of online textual media is steadily increasing. Daily, more and more news stories, blog posts and scientific articles are added to the online volumes. These are all freely accessible and have been employed extensively in multiple research areas, e.g. automatic text summarization, information retrieval, information extraction, etc. Meanwhile, online debate forums have recently become popular, but have remained largely unexplored. For this reason, there are no sufficient resources of annotated debate data available for conducting research in this genre. In this paper, we collected and annotated debate data for an automatic summarization task. Similar to extractive gold standard summary generation our data contains sentences worthy to include into a summary. Five human annotators performed this task. Inter-annotator agreement, based on semantic similarity, is 36% for Cohen's kappa and 48% for Krippendorff's alpha. Moreover, we also implement an extractive summarization system for online debates and discuss prominent features for the task of summarizing online debate data automatically.Comment: accepted and presented at the CICLING 2017 - 18th International Conference on Intelligent Text Processing and Computational Linguistic

Platforms, the First Amendment and Online Speech: Regulating the Filters

In recent years, online platforms have given rise to multiple discussions about what their role is, what their role should be, and whether they should be regulated. The complex nature of these private entities makes it very challenging to place them in a single descriptive category with existing rules. In today’s information environment, social media platforms have become a platform press by providing hosting as well as navigation and delivery of public expression, much of which is done through machine learning algorithms. This article argues that there is a subset of algorithms that social media platforms use to filter public expression, which can be regulated without constitutional objections. A distinction is drawn between algorithms that curate speech for hosting purposes and those that curate for navigation purposes, and it is argued that content navigation algorithms, because of their function, deserve separate constitutional treatment. By analyzing the platforms’ functions independently from one another, this paper constructs a doctrinal and normative framework that can be used to navigate some of the complexity. The First Amendment makes it problematic to interfere with how platforms decide what to host because algorithms that implement content moderation policies perform functions analogous to an editorial role when deciding whether content should be censored or allowed on the platform. Content navigation algorithms, on the other hand, do not face the same doctrinal challenges; they operate outside of the public discourse as mere information conduits and are thus not subject to core First Amendment doctrine. Their function is to facilitate the flow of information to an audience, which in turn participates in public discourse; if they have any constitutional status, it is derived from the value they provide to their audience as a delivery mechanism of information. This article asserts that we should regulate content navigation algorithms to an extent. They undermine the notion of autonomous choice in the selection and consumption of content, and their role in today’s information environment is not aligned with a functioning marketplace of ideas and the prerequisites for citizens in a democratic society to perform their civic duties. The paper concludes that any regulation directed to content navigation algorithms should be subject to a lower standard of scrutiny, similar to the standard for commercial speech