LLukas22/scidocs huggingface dataset:
Instructions for use Title Fluvoxamine treatment of generalized social anxiety disorder in Japan : a randomized double-blind , placebo-controlled study

The efficacy of selective serotonin reuptake inhibitors (SSRIs) for the treatment of social anxiety disorder (SAD) has been reported in the USA and Europe. However, no clinical investigation has been done with SSRIs in Japanese patients with SAD. This study was performed to determine the effectiveness and safety of fluvoxamine for generalized SAD (GSAD) in Japanese patients. In this double-blind study, patients meeting DSM-IV criteria for GSADwere randomized to receive treatment with fluvoxamine or placebo for 10 wk. Fluvoxamine treatment was initiated at 50 mg/d, and increased by 50 mg weekly to a maximum of 150 or 300 mg/d. The primary efficacy outcome was mean change from baseline on the Liebowitz Social Anxiety Scale – Japanese Version (LSAS-J) total score. The secondary outcomes were response according to the Clinical Global Impressions – Global Improvement (CGI-I) score and three domains of the Sheehan Disability Scale (SDS; used to assess psychosocial impairment). A total of 176 fluvoxamine-treated patients and 89 placebo-treated patients were eligible for the efficacy analysis. At week 10, the fluvoxamine-treated patients had a significantly greater reduction in the LSAS-J total score compared with placebo-treated patients (p=0.0197), with significantly more fluvoxamine recipients being at least much improved on the CGI-I scale compared with placebo-treated patients (p=0.024). Fluvoxamine-treated patients also had better responses on the SDS compared with placebo-treated patients (p=0.0208). Fluvoxamine was safe and well tolerated. These results suggest that fluvoxamine is effective for the treatment of Japanese patients with GSAD. Received 12 October 2005 ; Reviewed 22 November 2005 ; Revised 16 February 2006 ; Accepted 20 February 2006 ; First published online 30 March 2006
[Long-term Development of Acute Tinnitus].

BACKGROUND
Aim was to assess correlations between hearing threshold and mental health measures at tinnitus onset and tinnitus severity after 6 months. Short self-report questionnaires were used to permit later use in ENT-practices.


METHOD
28 patients with tinnitus of no longer than 4 weeks filled out questionnaires at inclusion (T1), and at 6 weeks (T2), 3 (T3) and 6 months (T4) after tinnitus onset. An audiogram was recorded at T1. Tinnitus loudness and sound sensitivity were assessed by numeric rating scales, tinnitus-distress was recorded with the short form of the tinnitus questionnaire. Mental health and personality factors were measured by the depressivity, anxiety and somatic severity scales of the Patient Health Questionnaire, and the resilience scale.


RESULTS
Tinnitus loudness and distress were stable throughout the investigation period whereas sound sensitivity decreased. Resilience did not represent a predictor for tinnitus severity after 6 months. Depressivity and hearing loss at T1 had an effect on later tinnitus loudness, while depressivity and age at T1 showed an effect on sound sensitivity and tinnitus-related distress at T4.


CONCLUSION
Stability of tinnitus severity during the 6 months after onset supports the hypothesis of early manifestation. RESULTS also support the hypothesis that later tinnitus severity is related to psychological distress and hearing impairment at onset. RESULTS suggest to use hearing aids to alleviate tinnitus loudness, and to include tools for the identification of depressive disorders at an early stage to identify patients that might benefit from psychotherapeutic interventions.
Real-time computer vision with OpenCV

Mobile computer-vision technology will soon become as ubiquitous as touch interfaces.
Dysregulation of RasGRP1 in rheumatoid arthritis and modulation of RasGRP3 as a biomarker of TNFα inhibitors

BACKGROUND
B and T cells play a key role in rheumatoid arthritis (RA) pathophysiology. RasGRP1 and RasGRP3 are involved in T and B cell receptors signaling, and belong to gene combination able to predict infliximab responsiveness, leading to the question of RasGRP1 and RasGRP3 involvement in RA.


METHODS
RasGRP1 and RasGRP3 expression levels were measured by qRT-PCR and/or western-blot in peripheral blood mononuclear cells (PBMCs), in T and B cells from untreated RA patients and in RA patients treated by TNFα inhibitors. T and B cells from healthy controls (HC) were cultured with TNFα, and TNFα receptors neutralizing antibodies to highlight the TNFα effects on RasGRP1 and RasGRP3 pathways. MAPK pathways and apoptosis were respectively analyzed using the Proteome Profiler arrays and flow cytometry.


RESULTS
In PBMCs from RA patients, gene expression levels of RasGRP1 were invariant while RasGRP3 was downregulated under TNFα inhibitors and upregulated under TNFα. In T cells from RA patients, RasGRP1 was decreased and its gene expression level was correlated with disease activity. In T cells from HC, TNFα stimulation increased RasGRP1 gene expression level while it reduced RasGRP1 protein expression level. Bryostatin-1 experiments have confirmed that the TNFα effect observed on T cells proliferation was due to the decrease of RasGRP1 expression. Besides, RasGRP3 expression level increased in PBMCs from RA patients under TNFα and in B cells from HC leading us to conclude that RasGRP3 in B cells was modulated by TNFα.


CONCLUSION
This study demonstrates RasGRP1 dysregulation in RA patients while RasGRP3 is characterized as a biomarker linked to TNFα inhibitors. After binding to TNFR1, TNFα reduced RasGRP1 protein expression resulting in inhibition of T cell activation.


TRIAL REGISTRATION
Clinicaltrials.gov NCT00234234 , registered 04 November 2008; NCT00767325 , registered 05 October 2005.
Board size, board composition and property firm performance

In light of the 1997 Asian financial crisis, the effectiveness of good governance in Asian economies has been a confronting issue. Agency problems arise when ownership is separated from management. This situation raised the key issue in corporate governance of how to effectively monitor managers and to exercise control so that managers act in the best interest of the shareholders (Zhuang, Edwards and Capulong, 2001). Amongst others, the existence of a board of director is an important system for shareholding monitoring and control where board composition is the most common aspect discussed. Despite the survey indicating preference for good corporate governance, empirical research examining governance mechanisms in relation to performance has revealed mixed and inconclusive findings. This research empirically examines the relationship between board composition and performance of property companies listed at Bursa Saham, Malaysia. Specifically, the research question that will be the basis for hypothesis formulation is as follows: • Does board composition of a firm, namely, board size, percentage of executives have an effect on firm performance?
Validation and Application of the Room Model of the Modelica Buildings Library

The Modelica Buildings library contains a package with a model for a thermal zone that computes heat transfer through the building envelope and within a room. It considers various heat transfer phenomena of a room, including conduction, convection, shortwave and long-wave radiation. The first part of this paper describes the physical phenomena considered in the room model. The second part validates the room model by using a standard test suite provided by the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE). The third part focuses on an application where the room model is used for simulation-based controls of a window shading device to reduce building energy consumption.
Chapter 2 Laser Beam Machining

The cost of cutting hard-to-machine materials by conventional mechanical machining processes is high due to the low material removal rate and short tool life, and some materials are not possible to be cut by the conventional machining process at all. Laser beam machining is the machining processes involving a laser beam as a heat source. It is a thermal process used to remove materials without mechanical engagement with workpiece material where the workpiece is heated to melting or boiling point and removed by melt ejection, vaporization, or ablation mechanisms. In contrast with a conventional machine tool, the laser radiation does not experience wear, and material removal is not dependent on its hardness but on the optical properties of the laser and the optical and thermophysical properties of the material. This chapter summarizes the up-todate progress of laser beam machining. It presents the basics and characteristics of industrial lasers and the state-of-the-art developments in laser beam machining.
TWO PARADIGMS OF LINGUISTICS : THE SEMIOTIC VERSUS NON-SEMIOTIC PARADIGM

s grammatical structure from all irrelevant contexts, from its
Atopy, eczema and breast milk fatty acids in a high-risk cohort of children followed from birth to 5 yr.

BACKGROUND
The incidence of atopic diseases such as eczema is increasing in westernized societies. The suggestion that there is a "protective" association between the unique fatty acid composition of breast milk, particularly the omega-3 (n-3) and omega-6 (n-6) essential polyunsaturated fatty acid content, and the development of atopic disease in children was investigated in a cohort study of 263 infants born into families with a history of allergy (one or both parents had asthma, hayfever, eczema). The objectives of this study were to determine the lipid profile [specifically in relation to long-chain polyunsaturated fatty acid (LC-PUFA) composition] in maternal breast milk samples collected at 6 wk and at 6 months following birth, and to investigate the potential role of these fatty acids in modulating the phenotype of children at high genetic risk of developing atopic disease.


METHOD
Breast milk samples were available from 91 atopic mothers at their child's ages of 6 wk and 6 months. These samples were analysed for the fatty acid spectrum. Analysis of variance was used to detect differences between groups of outcomes (no atopy or eczema, non-atopic eczema, atopy, atopic eczema) at ages 6 months and 5 yr, and a multiple comparisons procedure was conducted to isolate the parameters producing the different results (F-test, LSD test). For the exposure variables, n-3 and n-6 fatty acids are expressed as weight percentage and as a ratio (at both time-points).


RESULTS
The fatty acid profiles of maternal breast milk at 6 wk and 6 months were similar. An increased ratio of n-6: n-3 fatty acids in both 6 wk and 6 month milk samples was associated with non-atopic eczema (p < 0.005) but not atopy alone or atopic eczema.


CONCLUSION
We found milk fatty acids were a significant modulator of non-atopic eczema but not atopy or atopic eczema in infants at 6 months. In mothers with a history of asthma, hayfever or eczema, their 6-month-old infants were more likely to develop non-atopic eczema if their milk had a higher ratio of n-6: n-3 LC-PUFA.
Reference Governor for Load Control in a Multicylinder Recompression HCCI Engine

This paper presents a model-based control strategy designed to regulate combustion phasing during load transitions in a recompression homogeneous charge compression ignition (HCCI) engine. A low-order discrete-time control-oriented model for recompression HCCI combustion is developed that represents the strong thermal and composition coupling between engine cycles. A baseline two-input single-output controller is designed to regulate combustion phasing, using the amount of negative valve overlap and the fuel injection timing as actuators. This controller is augmented by a reference or fuel governor, which modifies transient fuel mass commands during large load transitions, when future actuator constraint violations are predicted. This approach is shown in experiments to improve combustion phasing and load responses, preventing engine misfires in some cases. The fuel governor enables larger load transitions than were possible with the baseline controller alone. The governor acts only when future actuator constraint violations are predicted. The complexity and computational overhead of the governor are reduced by developing a linearized fuel governor. Satisfactory performance is demonstrated experimentally for a range of engine speeds.
The natriuretic peptide MR-proANP predicts all-cause mortality and adverse outcome in community patients: a 10-year follow-up study.

BACKGROUND
The precursor peptide of atrial natriuretic peptide (MR-proANP) has a physiological role in fluid homeostasis and is associated with mortality and adverse clinical outcomes in heart failure patients. Little is known about the prognostic potential of this peptide for long-term mortality prediction in community-dwelling patients. We evaluated associations of MR-proANP levels with 10-year all-cause mortality in patients visiting their general practitioner for a respiratory tract infection.


METHODS
In this post-hoc analysis including 359 patients (78.5%) of the original trial, we calculated cox regression models and area under the receiver operating characteristic curve (AUC) to assess associations of MR-proANP blood levels with mortality and adverse outcome including death, pulmonary embolism, and major adverse cardiac or cerebrovascular events.


RESULTS
After a median follow-up of 10.0 years, 9.8% of included patients died. Median admission MR-proANP levels were significantly elevated in non-survivors compared to survivors (80.5 pmol/L, IQR 58.6-126.0; vs. 45.6 pmol/L, IQR 34.2-68.3; p<0.001) and associated with 10-year all-cause mortality (age-adjusted HR 2.0 [95% CI 1.3-3.1, p=0.002]; AUC 0.79). Results were similar for day 7 blood levels and also for the prediction of other adverse outcomes.


CONCLUSIONS
Increased MR-proANP levels were associated with 10-year all-cause mortality and adverse clinical outcome in a sample of community-dwelling patients. If diagnosis-specific cut-offs are confirmed in future studies, this marker may help to direct preventive measures in primary care.
The continuing epidemics of obesity and diabetes in the United States.

CONTEXT
Recent reports show that obesity and diabetes have increased in the United States in the past decade.


OBJECTIVE
To estimate the prevalence of obesity, diabetes, and use of weight control strategies among US adults in 2000.


DESIGN, SETTING, AND PARTICIPANTS
The Behavioral Risk Factor Surveillance System, a random-digit telephone survey conducted in all states in 2000, with 184 450 adults aged 18 years or older.


MAIN OUTCOME MEASURES
Body mass index (BMI), calculated from self-reported weight and height; self-reported diabetes; prevalence of weight loss or maintenance attempts; and weight control strategies used.


RESULTS
In 2000, the prevalence of obesity (BMI >/=30 kg/m(2)) was 19.8%, the prevalence of diabetes was 7.3%, and the prevalence of both combined was 2.9%. Mississippi had the highest rates of obesity (24.3%) and of diabetes (8.8%); Colorado had the lowest rate of obesity (13.8%); and Alaska had the lowest rate of diabetes (4.4%). Twenty-seven percent of US adults did not engage in any physical activity, and another 28.2% were not regularly active. Only 24.4% of US adults consumed fruits and vegetables 5 or more times daily. Among obese participants who had had a routine checkup during the past year, 42.8% had been advised by a health care professional to lose weight. Among participants trying to lose or maintain weight, 17.5% were following recommendations to eat fewer calories and increase physical activity to more than 150 min/wk.


CONCLUSIONS
The prevalence of obesity and diabetes continues to increase among US adults. Interventions are needed to improve physical activity and diet in communities nationwide.
Keeping people apart

This paper reports findings of research into the nature of collaboration in a design company. Observations of the shared work of two groups, architects and building services engineers, are discussed and the role of meetings considered. It will be argued that the achievement of ultimate ends in this organisation is through a division of labour involving discrete working practices. Consequently, technology that brings people together is inappropriate and could unsettle working harmony. This finding is not offered as a discovery but as a reminder: CSCW is in part about sensitivity to social and organisational issues in system design and evaluation. However, in the pursuit innovative technology, those sensitivities can often be lost.
ANN Based Currency Recognition System using Compressed Gray Scale and Application for Sri Lankan Currency Notes - SLCRec

Automatic currency note recognition invariably depends on the currency note characteristics of a particular country and the extraction of features directly affects the recognition ability. Sri Lanka has not been involved in any kind of research or implementation of this kind. The proposed system “SLCRec” comes up with a solution focusing on minimizing false rejection of notes. Sri Lankan currency notes undergo severe changes in image quality in usage. Hence a special linear transformation function is adapted to wipe out noise patterns from backgrounds without affecting the notes’ characteristic images and re-appear images of interest. The transformation maps the original gray scale range into a smaller range of 0 to 125. Applying Edge detection after the transformation provided better robustness for noise and fair representation of edges for new and old damaged notes. A three layer back propagation neural network is presented with the number of edges detected in row order of the notes and classification is accepted in four classes of interest which are 100, 500, 1000 and 2000 rupee notes. The experiments showed good classification results and proved that the proposed methodology has the capability of separating classes properly in varying image conditions. Keywords—Artificial intelligence, linear transformation and pattern recognition.
Image Quality Assessment: From Error Measurement to Structural Similarity

Objective methods for assessing perceptual image quality traditionally attempt to quantify the visibility of errors (differences) between a distorted image and a reference image using a variety of known properties of the human visual system. Under the assumption that human visual perception is highly adapted for extracting structural information from a scene, we introduce an alternative complementary framework for quality assessment based on the degradation of structural information. As a specific example of this concept, we develop a Structural Similarity Index and demonstrate its promise through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000. A MatLab implementation of the proposed algorithm is available online at http://www.cns.nyu.edu/~lcv/ssim/. Keywords— Image quality assessment, perceptual quality, human visual system, error sensitivity, structural similarity, structural information, image coding, JPEG, JPEG2000
Pregnancy coercion, intimate partner violence and unintended pregnancy.

BACKGROUND
Reproductive control including pregnancy coercion (coercion by male partners to become pregnant) and birth control sabotage (partner interference with contraception) may be associated with partner violence and risk for unintended pregnancy among young adult females utilizing family planning clinic services.


STUDY DESIGN
A cross-sectional survey was administered to females ages 16-29 years seeking care in five family planning clinics in Northern California (N=1278).


RESULTS
Fifty-three percent of respondents reported physical or sexual partner violence, 19% reported experiencing pregnancy coercion and 15% reported birth control sabotage. One third of respondents reporting partner violence (35%) also reported reproductive control. Both pregnancy coercion and birth control sabotage were associated with unintended pregnancy (AOR 1.83, 95% CI 1.36-2.46, and AOR 1.58, 95% CI 1.14-2.20, respectively). In analyses stratified by partner violence exposure, associations of reproductive control with unintended pregnancy persisted only among women with a history of partner violence.


CONCLUSIONS
Pregnancy coercion and birth control sabotage are common among young women utilizing family planning clinics, and in the context of partner violence, are associated with increased risk for unintended pregnancy.
Early Development

Economics Department, University of South Carolina, Columbia, SC 29208, respectively. This paper was begun while both authors were visiting the Graduate School of Business of the University of Chicago. The paper has benefited greatly from presentations at the American Economic Association Meetings, the Federal Reserve Bank of Richmond, James Madison University, the Minneapolis Federal Reserve Bank Conference On Growth and Development, Northwestern University, Ohio State University, Rutgers University, the Stanford NBER Growth Conference, the University of British Columbia, the University of Chicago, the University of Kentucky, the University of Rochester, the University of South Carolina, the University of Virginia, Virginia Polytechnic University, and the Wharton School of the University of Pennsylvania.
Classification of malicious web code by machine learning

Web applications make life more convenient through on the activities. Many web applications have several kind of user input (e.g. personal information, a user's comment of commercial goods, etc.) for the activities. However, there are various vulnerabilities in input functions of web applications. It is possible to try malicious actions using free accessibility of the web applications. The attacks by exploitation of these input vulnerabilities enable to be performed by injecting malicious web code; it enables one to perform various illegal actions, such as SQL Injection Attacks (SQLIAs) and Cross Site Scripting (XSS). These actions come down to theft, replacing personal information, or phishing. Many solutions have devised for the malicious web code, such as AMNESIA [1] and SQL Check [2], etc. The methods use parser for the code, and limited to fixed and very small patterns, and are difficult to adapt to variations. Machine learning method can give leverage to cover far broader range of malicious web code and is easy to adapt to variations and changes. Therefore, we suggests adaptable classification of malicious web code by machine learning approach such as Support Vector Machine (SVM)[3], Naïve-Bayes[4], and k-Nearest Neighbor Algorithm[5] for detecting the exploitation user inputs.