LLukas22/scidocs huggingface dataset:
Risk of Acute Complications of Diabetes Among People With Schizophrenia in Ontario, Canada

OBJECTIVE
Diabetes mellitus (DM) is a complex, chronic disease requiring active self-management and coordinated care. This study aimed to evaluate the relationship between schizophrenia and risk of preventable, acute DM complications.


RESEARCH DESIGN AND METHODS
With the use of administrative data, a retrospective study assessed acute DM complications (emergency department [ED] visits or hospitalization for hypo- or hyperglycemia and hospital admissions for infections) among Ontario residents ages 18-50 with schizophrenia and newly diagnosed DM between 1995 and 2005, comparing people with and without pre-existing schizophrenia. Primary outcome was ED visit or hospitalization for hypo- or hyperglycemia. Secondary outcome was the first of either the primary outcome or hospitalization for infection.


RESULTS
People with schizophrenia had a 74% greater risk of requiring a hospital visit for hypo- or hyperglycemia (hazard ratio [HR] = 1.74, 95% confidence interval 1.42-2.12) compared with those without schizophrenia. The risk was similar when the outcome included infection (HR = 1.62, 95% CI 1.39-1.89). Outcomes remained significant after adjustment for baseline characteristics.


CONCLUSIONS
People with schizophrenia are at greater risk for developing an acute complication of DM. Understanding this relationship will direct future studies assessing barriers to care and implementation of individualized approaches to care for this population.
IoT based smart parking system

In recent times the concept of smart cities have gained grate popularity. Thanks to the evolution of Internet of things the idea of smart city now seems to be achievable. Consistent efforts are being made in the field of IoT in order to maximize the productivity and reliability of urban infrastructure. Problems such as, traffic congestion, limited car parking facilities and road safety are being addressed by IoT. In this paper, we present an IoT based cloud integrated smart parking system. The proposed Smart Parking system consists of an on-site deployment of an IoT module that is used to monitor and signalize the state of availability of each single parking space. A mobile application is also provided that allows an end user to check the availability of parking space and book a parking slot accordingly. The paper also describes a high-level view of the system architecture. Towards the end, the paper discusses the working of the system in form of a use case that proves the correctness of the proposed model.
Heart rate variability on antihypertensive drugs in black patients living in sub-Saharan Africa

BACKGROUND
Compared with Caucasians, African Americans have lower heart rate variability (HRV) in the high-frequency domain, but there are no studies in blacks born and living in Africa.


METHODS
In the Newer versus Older Antihypertensive agents in African Hypertensive patients trial (NCT01030458), patients (30-69 years) with uncomplicated hypertension (140-179/90-109 mmHg) were randomized to single-pill combinations of bisoprolol/hydrochlorothiazide (R) or amlodipine/valsartan (E). 72 R and 84 E patients underwent 5-min ECG recordings at randomization and 8, 16 and 24 weeks. HRV was determined by fast Fourier transform and autoregressive modelling.


RESULTS
Heart rate decreased by 9.5 beats/min in R patients with no change in E patients (- 2.2 beats/min). R patients had reduced total (- 0.13 ms²; p = 0.0038) and low-frequency power (- 3.6 nu; p = 0.057), higher high-frequency (+ 3.3 nu; p = 0.050) and a reduced low- to high-frequency ratio (- 0.08; p = 0.040). With adjustment for heart rate, these differences disappeared, except for the reduced low-frequency power in the R group (- 4.67 nu; p = 0.02). Analyses confined to 39 R and 47 E patients with HRV measurements at all visits or based on autoregressive modelling were confirmatory.


CONCLUSION
In native black African patients, antihypertensive drugs modulate HRV, an index of autonomous nervous tone. However, these effects were mediated by changes in heart rate except for low-frequency variability, which was reduced on beta blockade independent of heart rate.
A Flexible Approach to Semantic Annotation Systems for Web Content

In this paper we propose a flexible approach that supports heterogeneous requirements on systems for the semantic annotation of web content. The flexibility of the approach originates from a model based on the definition of abstract events, which captures at the logical level the main interactions occurring in a system for combined management of ontologies and web content. Application-specific semantics is then provided operationally as an assignment of handlers to these events. While the abstract events are rather coarse-grained to reduce prior commitment, preconditions on the handlers express application-specific distinctions based on contextual information associated with each specific event. Although the possibility to define completely new handlers guarantees the generality of our approach, we foster convention over configuration by providing a set of default handlers, which can be customized by filling their extension points. The use of customizable handlers, whether or not the default ones, reduces the development effort and guarantees consistent user experience despite evolving requirements. A comprehensive framework for semantic annotation of web content has been realized and will be hereafter introduced. Copyright © 2015 John Wiley & Sons, Ltd.
Eyeglasses-free display: towards correcting visual aberrations with computational light field displays

Millions of people worldwide need glasses or contact lenses to see or read properly. We introduce a computational display technology that predistorts the presented content for an observer, so that the target image is perceived without the need for eyewear. By designing optics in concert with prefiltering algorithms, the proposed display architecture achieves significantly higher resolution and contrast than prior approaches to vision-correcting image display. We demonstrate that inexpensive light field displays driven by efficient implementations of 4D prefiltering algorithms can produce the desired vision-corrected imagery, even for higher-order aberrations that are difficult to be corrected with glasses. The proposed computational display architecture is evaluated in simulation and with a low-cost prototype device.
Extracting Answers from the Web Using Knowledge Annotation and Knowledge Mining Techniques

Aranea is a question answering system that extracts answers from the World Wide Web using knowledge annotation and knowledge mining techniques. Knowledge annotation, which utilizes semistructured database techniques, is effective for answering large classes of commonly occurring questions. Knowledge mining, which utilizes statistical techniques, can leverage the massive amounts of data available on the Web to overcome many natural language processing challenges. Aranea integrates these two different paradigms of question answering into a single framework. For the TREC evaluation, we also explored the problem of answer projection, or finding supporting documents for our Web-derived answers from the AQUAINT corpus.
Does telecommuting really increase productivity?

As many companies have learned in the last decade, the reality of telecommuting does not reflect the hype, the expected potential, or the existing literature.
Efficacy and safety of quetiapine in children and adolescents with mania associated with bipolar I disorder: a 3-week, double-blind, placebo-controlled trial.

OBJECTIVE
To evaluate the efficacy and safety of quetiapine monotherapy in children and adolescents with mania associated with bipolar I disorder.


METHOD
Patients aged 10 to 17 years, with a DSM-IV-TR diagnosis of a manic episode associated with bipolar I disorder and Young Mania Rating Scale (YMRS) total score ≥ 20 were randomized to 3 weeks of quetiapine (400 or 600 mg/d) or placebo. The primary efficacy measure was change in YMRS total score. The study was conducted at 34 centers in the United States between August 2004 and July 2006.


RESULTS
The intent-to-treat population included 277 patients. Least squares mean change in YMRS score from baseline to end point by mixed-model, repeated-measures analysis was -14.25, -15.60, and -9.04 for quetiapine 400 mg/d, quetiapine 600 mg/d, and placebo, respectively (P < .001, each quetiapine dose vs placebo). Significant improvement in YMRS score versus placebo was first observed at day 4 (P = .015) with quetiapine 400 mg/d and day 7 (P < .001) with quetiapine 600 mg/d. Mean changes in body weight at day 21 (observed cases) were 1.7 kg for both quetiapine doses and 0.4 kg for placebo. Numerically larger mean increases in total cholesterol, low-density lipoprotein cholesterol, and triglycerides were observed with quetiapine than placebo. Adverse events associated with quetiapine were mostly mild to moderate in intensity.


CONCLUSIONS
In this 3-week study, quetiapine was significantly more effective than placebo in improving manic symptoms in youth with mania associated with bipolar disorder. Treatment was generally well tolerated and adverse events were broadly consistent with the known profile of quetiapine in adults with bipolar disorder.


TRIAL REGISTRATION
ClinicalTrials.gov identifier: NCT00090311.
Computer shogi

This paper describes the current state of the art in computer shogi. Shogi (Japanese chess) promises to be a good vehicle for future research into game-playing programs that are based on tree-searching paradigms. This paper shows where chess and shogi are similar, and details the important areas that make shogi programming of particular interest. A crucial difference is the game-tree complexity, which is significantly higher in shogi than in chess. Three important differences are the “drop” rule, the diverging character of the game, and the slow build-up of forces. They make it difficult to have effective opening and endgame procedures. After a short summary of the rules of shogi and an outline of the main areas of current work in computer shogi, we provide an overview of the history of computer shogi, in which computershogi activities both in human tournaments and in exhibition events are given. We conjecture that by the year 2010 a computer will be comparable in strength to the best human players. The most important techniques used in computer shogi are described. We focus on issues such as opening play, selective search, quiescence search, solving tactical exchanges without tree searching, position evaluation and endgame play. At the end the key challenges in computer shogi are enumerated, and finally, concluding remarks are given.  2001 Elsevier Science B.V. All rights reserved.
Document-level sentiment classification: An empirical comparison between SVM and ANN

0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.07.059 ⇑ Corresponding author. E-mail addresses: rodrigomorae@gmail.com (R. M (J.F. Valiati), wgaviao@gmail.com (W.P. Gavião Neto). Document-level sentiment classification aims to automate the task of classifying a textual review, which is given on a single topic, as expressing a positive or negative sentiment. In general, supervised methods consist of two stages: (i) extraction/selection of informative features and (ii) classification of reviews by using learning models like Support Vector Machines (SVM) and Naı̈ve Bayes (NB). SVM have been extensively and successfully used as a sentiment learning approach while Artificial Neural Networks (ANN) have rarely been considered in comparative studies in the sentiment analysis literature. This paper presents an empirical comparison between SVM and ANN regarding document-level sentiment analysis. We discuss requirements, resulting models and contexts in which both approaches achieve better levels of classification accuracy. We adopt a standard evaluation context with popular supervised methods for feature selection and weighting in a traditional bag-of-words model. Except for some unbalanced data contexts, our experiments indicated that ANN produce superior or at least comparable results to SVM’s. Specially on the benchmark dataset of Movies reviews, ANN outperformed SVM by a statistically significant difference, even on the context of unbalanced data. Our results have also confirmed some potential limitations of both models, which have been rarely discussed in the sentiment classification literature, like the computational cost of SVM at the running time and ANN at the training time. 2012 Elsevier Ltd. All rights reserved.
Electrical treeing and the associated PD characteristics in LDPE nanocomposites

Treeing in low density polyethylene (LDPE) filled with alumina nanocomposite as well as unfilled LDPE samples stressed with 50 Hz ac voltage has been studied. The tree inception voltage was monitored for various samples with different nano-filler loadings and it is seen that there is an increase in tree inception voltage with filler loading in LDPE. Treeing pattern and tree growth duration for unfilled and nano-filled LDPE samples have also been studied. Different tree growth patterns as well as a slower tree growth with increase in filler loading in LDPE nanocomposites were observed. The observed slow propagation of tree growth with filler loading is attributed to the changes in the polymer crystalline morphology induced by the presence of nano-particles and the greater ability of the nanoparticles to resist discharge growth. SEM studies carried out to determine the morphology of unfilled and nano-filled LDPE showed an increase in lamellae packing in LDPE nanocomposites and this increased lamellar density leads to a reduction in the tree propagation rate. Partial discharge activities were also monitored during the electrical tree growth in both the unfilled and the nano-filled LDPE samples and were found to be significantly different. PD magnitude and the number of PD pulses per cycle were found to be lower with electrical tree growth duration in LDPE nanocomposites as compared to unfilled LDPE. The same trend was seen with increased filler loading also.
Blogging, communication, and privacy management: Development of the Blogging Privacy Management Measure

This study applied Communication Privacy Management (CPM) theory to the context of blogging and developed a validated, theory-based measure of blogging privacy management. Across three studies, 823 college student bloggers completed an online survey. In study one (n = 176), exploratory and confirmatory factor analysis techniques tested four potential models. Study two (n = 291) cross-validated the final factor structure obtained in the fourth model with a separate sample. Study three (n = 356) tested the discriminant and predictive validity of the measure by comparing it to the self-consciousness scale. The Blogging Privacy Management Measure (BPMM) is a multidimensional, valid, and reliable construct. Future research could explore the influence of family values about privacy on blogging privacy rule management.
Effects of Brief Behavioural Activation on Approach and Avoidance Tendencies in Acute Depression: Preliminary Findings.

BACKGROUND
It has been suggested that the behavioural activation (BA) treatments for depression unfold their effects, at least partly, through changes in approach and avoidance tendencies. However, as yet, little research has examined the cognitive effects of these interventions.


AIMS
This study investigated the impact of a single session of BA on depressive symptomatology, self-reported avoidance, and behavioural approach and avoidance tendencies.


METHOD
Forty-six patients with a diagnosis of Major Depression were recruited from primary care psychological therapies services and block randomized to either a single session of behavioural activation (n = 22) or waiting list control (n = 24) delivered by an unblinded therapist. Self-reports of symptoms and cognitive factors were assessed before and after the one-week intervention phase. Approach and avoidance behavioural tendencies were assessed using the Approach-Avoidance Task (AAT).


RESULTS
Data from 40 participants (n = 20 in each group) was available for analyses. Depressive symptoms significantly decreased, and activation significantly increased from before to after treatment in the treatment group, but not in the control group. Performance on the AAT showed a trend indicating increased approach to positive valence stimuli in the treatment group, but not in the control group. Mediational analyses indicated small indirect effects of self-reported change in activation as mediators of the effect of condition on symptoms.


CONCLUSIONS
The findings suggest that a single session of BA can have significant effects on symptoms in clinically depressed patients. Results hint at the possibility that increased behavioural approach might mediate the effect of BA.
The Precambrian basement: A major reservoir in the rifted basin, Gulf of Suez

Abstract The expected instructions from an exploration manager, to stop drilling and abandon a well where the bit hits the Precambrian basement, no longer applies. The fractured and altered Precambrian basement rocks are the most prolific reservoirs in the southern Gulf of Suez and the northern Red Sea rifts where hydrocarbons are produced from 8 fields, with porosity and permeability values up to 15% and 300 millidarcy, respectively. The surface and subsurface Precambrian basement rocks are related to the final stages of the tectonic–magmatic cycle of the Arabo-Nubian Shield and are composed of quartz–diorite, granodiorite, syenogranite, alkali granites and andesite porphyry, dissected by means of dykes, fractures and joints. Three main directions of fractures, northwest–southeast, northeast–southwest and east northeast–west southwest have been detected in the study area. The porosity and production rates of this reservoir, as well as the oil–water contact movement, depend mainly on the age, intensity and direction of the fractures, diagenetic processes and the dip and direction of the dykes and brecciated zones. The alteration processes reach their maximum intensity in the topmost section, known as the basement cover, where the solution and leaching has led to the enlargement of the fractures and vertical communications. The underlying fracture zone has been affected by differential alteration processes, creating zones of high and low vertical porosity and permeability. Thus, the reservoir potential of the Precambrian basement has been greatly underestimated.
Life Tasks and Daily Life Experience

This article explores the assumption that the goals on which an individual works structure the experience of daily life. One set of important goals are those consensual tasks that reflect the age-graded expectations of a living environment (e.g., the task of being on one's own at college). Whereas most members of a common age group share these consensual life tasks, individuals in a group differ in the relative importance they place on different tasks and in their appraisals of them. In the present study of 54 women living in a college sorority, the importance of a life task was associated with increased relevance of the task to daily life events, as revealed in experience sampling. The women were more emotionally involved in events that they saw as highly relevant to their life tasks than in less relevant events and, for each person, positive affect and emotional involvement in task-relevant events were related to her initial life task appraisals. A critical issue when studying personality and daily life experience is to find units of analysis that simultaneously reflect the personality of the individual and the features of the life context in which daily life experience takes shape (Caspi, Bolger, & Eckenrode, 1987; Magnusson We aie pleased to acknowledge the technical assistance of Nancy Exelby and the comments on this article by Michele Acker, Robert Harlow, Susan Jenkins, Hazel Markus, the editors of this special issue, and two anonymous reviewers. This research was supported in part by Grant BNS 87-18467 (to Nancy Cantor and Julie Norem) from the National Science Foundation, as well as a National Science Foundation Graduate Fellowship (to William Fleeson). Requests for reprints should be sent to Nancy Cantor, now at the Department of Psychology, Green Hall. Princeton University, Princeton, NJ 08544. Journal of Personality 59:3, September 1991. Copyright © 1991 by Duke University Press. CCC 0022-3506/91/$1.50
The working alliance in a randomized controlled trial comparing online with face-to-face cognitive-behavioral therapy for depression

BACKGROUND
Although numerous efficacy studies in recent years have found internet-based interventions for depression to be effective, there has been scant consideration of therapeutic process factors in the online setting. In face-to face therapy, the quality of the working alliance explains variance in treatment outcome. However, little is yet known about the impact of the working alliance in internet-based interventions, particularly as compared with face-to-face therapy.


METHODS
This study explored the working alliance between client and therapist in the middle and at the end of a cognitive-behavioral intervention for depression. The participants were randomized to an internet-based treatment group (n = 25) or face-to-face group (n = 28). Both groups received the same cognitive behavioral therapy over an 8-week timeframe. Participants completed the Beck Depression Inventory (BDI) post-treatment and the Working Alliance Inventory at mid- and post- treatment. Therapists completed the therapist version of the Working Alliance Inventory at post-treatment.


RESULTS
With the exception of therapists' ratings of the tasks subscale, which were significantly higher in the online group, the two groups' ratings of the working alliance did not differ significantly. Further, significant correlations were found between clients' ratings of the working alliance and therapy outcome at post-treatment in the online group and at both mid- and post-treatment in the face-to-face group. Correlation analysis revealed that the working alliance ratings did not significantly predict the BDI residual gain score in either group.


CONCLUSIONS
Contrary to what might have been expected, the working alliance in the online group was comparable to that in the face-to-face group. However, the results showed no significant relations between the BDI residual gain score and the working alliance ratings in either group.


TRIAL REGISTRATION
ACTRN12611000563965.
A short proof of a cross-intersection theorem of Hilton

Families A1, ...,Ak of sets are said to be cross-intersecting if Ai ∩ Aj 6= ∅ for any Ai ∈ Ai and Aj ∈ Aj , i 6= j. A nice result of Hilton that generalises the Erd®sKo-Rado (EKR) Theorem says that if r ≤ n/2 and A1, ..., Ak are cross-intersecting sub-families of ( [n] r ) , then
Testing Shared Memories

Sequential consistency is the most widely used correctness condition for multiprocessor memory systems. This paper studies the problem of testing shared-memory multiprocessors to determine if they are indeed providing a sequentially consistent memory. It presents the first formal study of this problem, which has applications to testing new memory system designs and realizations, providing run-time fault tolerance, and detecting bugs in parallel programs. A series of results are presented for testing an execution of a shared memory under various scenarios, comparing sequential consistency with linearizability, another well-known correctness condition. Linearizability imposes additional restrictions on the shared memory, beyond that of sequential consistency; these restrictions are shown to be useful in testing such memories.