LLukas22/scidocs huggingface dataset:
The influence of personality on Facebook usage, wall postings, and regret

The Five Factor Model of personality has been used extensively in the management and psychology fields to predict attitudes and behaviors. Only recently have researchers begun to examine the role of psychological factors in influencing an individual’s use of technology platforms, such as Facebook. This study uses both a survey of Facebook users and actual Facebook data to uncover why some individuals are more involved in Facebook than others. 219 undergraduate students participated in a survey that assessed their personality and their reported usage of Facebook. Of these, 143 voluntarily befriended the investigator, which gave her access to their actual Facebook sites and objective data on their number of friends, photos, and wall postings. Results showed personality to explain significant amounts of variance over and above gender and Facebook experience in terms of actual number of Facebook friends, the nature of their wall postings and on their level of regret for inappropriate Facebook content. 2011 Elsevier Ltd. All rights reserved.
Dimensions and Metrics for Evaluating Recommendation Systems

recommendation systems support users and developers of various computer and software systems to overcome information overload, perform information discovery tasks and approximate computation, among others. They have recently become popular and have attracted a wide variety of application scenarios from business process modelling to source code manipulation. Due to this wide variety of application domains, different approaches and metrics have been adopted for their evaluation. In this chapter, we review a range of evaluation metrics and measures as well as some approaches used for evaluating recommendation systems. The metrics presented in this chapter are grouped under sixteen different dimensions, e.g., correctness, novelty, coverage. We review these metrics according to the dimensions to which they correspond. A brief overview of approaches to comprehensive evaluation using collections of recommendation system dimensions and associated metrics is presented. We also provide suggestions for key future research and practice directions. Iman Avazpour Faculty of ICT, Centre for Computing and Engineering Software and Systems (SUCCESS), Swinburne University of Technology, Hawthorn, Victoria 3122, Australia e-mail: iavazpour@swin.
Prevention of Heel Pressure Injuries and Plantar Flexion Contractures With Use of a Heel Protector in High-Risk Neurotrauma, Medical, and Surgical Intensive Care Units: A Randomized Controlled Trial.

PURPOSE
The purpose of this study was to compare the use of a heel protector to standard of care (pillows) in the prevention of hospital-acquired pressure injuries (HAPI) of the heels and prevention of plantar flexion contractures.


DESIGN
Randomized controlled trial.


SUBJECTS AND SETTING
The study took place on a surgical intensive care unit, medical intensive care unit, and neurotrauma intensive care unit. Inclusion criteria were a minimum of 5 days of sedation related to care for a critical illness, immobility for 6 to 8 hours before study initiation, a Braden Scale for Pressure Sore Risk score 18 or less, and a mobility subscale score 2 or less. Patients were included if they had preexisting heel pressure injury or plantar flexion contracture. The sample comprised 54 subjects; 37 were randomly allocated to the intervention group and 17 to the control group. Their average age-mean (standard deviation)-was 40.7 (14.96) years in the control group and 44.6 (17.15) years in the intervention group.


METHODS
Data were collected from patients' electronic medical records. We recorded subject demographics, presence of diabetes mellitus or peripheral vascular disease, Glasgow Coma Scale scores (every shift), Braden Scale for Pressure Sore Risk scores (every shift), heel skin assessments (every shift), goniometric measurements (every other day), and adverse events (every shift). Assessments and measurements were continued until the patient was discharged from the study.


RESULTS
None of the patients in the intervention group developed HAPI of the heels, as compared to 7 in the control group (0% vs 41%, P < .001). Patients in the intervention group had a significantly greater decrease in goniometric scores (mean decrease = 1.4 ± 2.25) compared to the control group by day 3 (mean decrease = 0.1 ± 0.52 P = .004) and the last study day (mean decrease = 2.0 ± 3.02 for the intervention group vs 0.07 ± 0.96 for the control group; P < .001).


CONCLUSIONS
Study findings indicate that a heel protector that ensures off-loading and maintains the foot in a neutral position is more effective for prevention of HAPI of the heel and contractures as compared to standard care using pillows to position the heel and redistribute pressure.
Physical Abuse Around the Time of Pregnancy: An Examination of Prevalence and Risk Factors in 16 States

Objectives: From self-reports we describe and compare the levels and patterns of physical abuse before and during pregnancy while also describing the demographic and pregnancy-related characteristics of physically abused women, the stressful experiences of abused women prior to delivery, and the relationship of the abused woman to the perpetrator(s). Methods: We used population-based estimates from the Pregnancy Risk Assessment Monitoring System (1996–98) to calculate a multiyear 16-state prevalence with 95% confidence intervals (CIs) and unadjusted risk ratios for demographic, pregnancy-related, and stressful experiences variables. Results: We found the prevalence of abuse across the 16 states to be 7.2% (95% CI, 6.9-7.6) during the 12 months before pregnancy, 5.3% (95% CI, 5.0–5.6) during pregnancy, and 8.7% (95% CI, 8.3–9.1) around the time of pregnancy (abuse before or during pregnancy). The prevalence of physical abuse during pregnancy across the 16 states was consistently lower than that before pregnancy. For time periods both before and during pregnancy, higher prevalence was found for women who were young, not White, unmarried, had less than 12 years of education, received Medicaid benefits, or had unintended pregnancies, and for women with stressful experiences during pregnancy, particularly being involved in a fight or increased arguing with a husband or partner. For each of these risk groups, the prevalence was lower during pregnancy than before. Abuse was ongoing before pregnancy for three quarters of the women experiencing abuse by a husband or partner during pregnancy. Conclusions: Women are not necessarily at greater risk of physical abuse when they are pregnant than before pregnancy. Both the preconception period and the period during pregnancy are periods of risk, which suggests that prevention activities are appropriate during routine health care visits before pregnancy as well as during family planning and prenatal care.
WebShodh: A Code Mixed Factoid Question Answering System for Web

Code-Mixing (CM) is a natural phenomenon observed in many multilingual societies and is becoming the preferred medium of expression and communication in online and social media fora. In spite of this, current Question Answering (QA) systems do not support CM and are only designed to work with a single interaction language. This assumption makes it inconvenient for multi-lingual users to interact naturally with the QA system especially in scenarios where they do not know the right word in the target language. In this paper, we present WebShodh an end-end web-based Factoid QA system for CM languages. We demonstrate our system with two CM language pairs: Hinglish (Matrix language: Hindi, Embedded language: English) and Tenglish (Matrix language: Telugu, Embedded language: English). Lack of language resources such as annotated corpora, POS taggers or parsers for CM languages poses a huge challenge for automated processing and analysis. In view of this resource scarcity, we only assume the existence of bi-lingual dictionaries from the matrix languages to English and use it for lexically translating the question into English. Later, we use this loosely translated question for our downstream analysis such as Answer Type(AType) prediction, answer retrieval and ranking. Evaluation of our system reveals that we achieve an MRR of 0.37 and 0.32 for Hinglish and Tenglish respectively. We hosted this system online and plan to leverage it for collecting more CM questions and answers data for further improvement.
Impact of fatty liver on hepatitis B virus replication and virologic response to tenofovir and entecavir.

BACKGROUND/AIMS
We aimed to evaluate the impact of non-alcoholic fatty liver disease (NAFLD) on viral kinetics and virologic response to tenofovir and entecavir treatment in patients with chronic hepatitis B virus (HBV) infection.


MATERIALS AND METHODS
This study was designed as a retrospective multicenter cohort study. The impact of hepatosteatosis on pre-treatment serum HBV DNA levels and also on the virologic response to either tenofovir or entecavir at 6 and 12 months of therapy was investigated.


RESULTS
A total of 145 cases were involved in the study [median age 40 (18-73) years, 90 (62%) males]. In multivariate analysis, it was detected that patients with NAFLD were older and had a higher body mass index (BMI) [Odds ratio (95% confidence interval) and p-value for age were 1.040 (1.003-1.079) and 0.033 and for BMI were 1.348 (1.190-1.528) and 0.0001, respectively]. When only the 43 patients who were younger than 35.5 years old and who had a BMI less than 27.59 were investigated, serum high-density lipoprotein (HDL) levels and serum HBV DNA levels were lower in patients with NAFLD in multivariate analysis [Odds ratio (95% confidence interval) and p-values for serum HDL level and HBV DNA level were 0.864 (0.061-0.980) and 0.023 and 0.995 (0.990-0.999) and 0.025, respectively]. Totally, 57 and 75 of the patients had received entecavir and tenofovir, respectively.


CONCLUSION
Viral replication decreases in patients with chronic HBV infection in the presence of NAFLD, and NAFLD had no impact on the virologic response to entecavir and tenofovir treatment.
Progress of Research on Environmental Biotechnology for Pollution Governance

With the continuous development of modern biotechnology,environmental biotechnology shows its unique advantage and tremendous potential in the field of environment governance.This paper aims to discuss the research tasks and summarize the application of environmental biotechnology in pollution governance and the prospect of the application of environmental biotechnology.
Concomitant plantar tarsometatarsal (Lisfranc) and metatarsophalangeal joint dislocations

 We report an unusual case of concomitant plantar tarsometatarsal (Lisfranc) and 1st and 2nd metatarsophalangeal (MTP) joint dislocations and fracture of the neck of the third metatarsal bone which has never been reported before. The plantar dislocation of the Lisfranc joint was treated by open reduction and fixation with K-wires; the dislocations of the MTP joints and neck fracture of the third metatarsal bone were treated by closed reduction and percutaneous fixation with K-wires and immobilized with a plaster cast. At the 5 year follow-up examination, our patient had no complaints, but the radiograph showed degenerative changes of the Lisfranc and the 1st MTP joint.
Fisher Vector Faces in the Wild

Overview. The face verification and recognition domain has mostly been dominated by carefully designed representations based on features computed around numerous facial landmarks [1, 3]. On the other hand, for image classification, image representations are capable of capturing discriminative image information without any domain-specific knowledge by using densely computed features, coupled with a non-linear encoding. For instance, the high-dimensional Fisher vector encoding [6] of SIFT features [5] achieves state-of-the-art performance on several image classification benchmarks [2]. In this paper, we address this discrepancy and make two contributions. First, we show that Fisher vector encoding of dense SIFT, an off-the-shelf image representation, achieves state-of-the-art face verification performance on the challenging “Labeled Faces in the Wild” (LFW) benchmark. Second, we show that the high-dimensional face representation using Fisher vector encoding is amenable to discriminative dimensionality reduction. The resulting compact descriptor has equal or better recognition accuracy and is very well suited to large-scale face recognition tasks. The overview of our face descriptor computation pipeline is shown in Fig. 2. The learnt dimensionality reduction model is visualised in Fig. 3. It is able to automatically extract the discriminative regions of the face.
Framework for Generation of Synthetic Ground Truth Data for Driver Assistance Applications

High precision ground truth data is a very important factor for the development and evaluation of computer vision algorithms and especially for advanced driver assistance systems. Unfortunately, some types of data, like accurate optical flow and depth as well as pixel-wise semantic annotations are very difficult to obtain. In order to address this problem, in this paper we present a new framework for the generation of high quality synthetic camera images, depth and optical flow maps and pixel-wise semantic annotations. The framework is based on a realistic driving simulator called VDrift [1], which allows us to create traffic scenarios very similar to those in real life. We show how we can use the proposed framework to generate an extensive dataset for the task of multi-class image segmentation. We use the dataset to train a pairwise CRF model and to analyze the effects of using various combinations of features in different image modalities.
Standardized comparisons of the use of alcohol, drugs, and cigarettes among military personnel and civilians.

BACKGROUND
Understanding the effectiveness of policies and programs aimed at combating substance abuse in the military requires comparison with the civilian population from which military personnel are drawn.


METHODS
Standardized comparisons of the use of alcohol, drugs, and cigarettes among military personnel and civilians were conducted with data from the 1985 Worldwide Survey of Alcohol and Nonmedical Drug Use among Military Personnel and the 1985 National Household Survey on Drug Abuse. The two data sets were equated for age and geographic location of respondents, and civilian substance use rates were standardized to reflect the sociodemographic distribution of the military.


RESULTS
Military personnel were significantly less likely than civilians to use drugs, but were significantly more likely to use alcohol and cigarettes and to engage in heavy use of alcohol and cigarettes. Heavy drinking was especially likely among young military men. Military women were similar to military men in their smoking and drug use patterns.


CONCLUSIONS
Findings suggest that military policies and programs have been notably effective in reducing drug use, but that efforts to limit alcohol and cigarette use should be intensified. Military efforts directed against alcohol abuse should be targeted toward younger men, while smoking and drug prevention programs should be directed toward both men and women.
CHENG Yuqi Academicians and Luxi Precambrian Geological Research

The division of Yanlingguan group,Shancaoyu group and Liuhang group in Taishan formation has been determined by CHENG Yuqi academician.Residual amygdaloidl structure and rock flow characteristics have been found in amphibolite,and meta-basic lava flow,meta-volcanic tuffaceous rocks and meta-basic veins have been correctly distinguished.Bearing biotite plagioclase gneiss in original Huamawan group is banded tonalite gneiss in early Archean period.SHRIMP U-Pb zircon age of gneissic trondhjemite in anticline of Fushan mountain is(2612±20) Ma.Plagioclase amphibolites with vesicular filling structure belongs to Yanlingguan formation;while SHRIMP U-Pb age of the youngest fragements in gravel-bearing biotite leptynite in the core of Lijiazhuang inverted oblique in Liuhang group is(2524±7) Ma.
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation

We propose an end-to-end deep learning model for translating free-form natural language instructions to a high-level plan for behavioral robot navigation. The proposed model uses attention mechanisms to connect information from user instructions with a topological representation of the environment. To evaluate this model, we collected a new dataset for the translation problem containing 11,051 pairs of user instructions and navigation plans. Our results show that the proposed model outperforms baseline approaches on the new dataset. Overall, our work suggests that a topological map of the environment can serve as a relevant knowledge base for translating natural language instructions into a sequence of navigation behaviors.
Exploiting synergies between semantic reasoning and personalization strategies in intelligent recommender systems: A case study

0164-1212/$ see front matter 2008 Elsevier Inc. A doi:10.1016/j.jss.2008.05.009 q Work funded by the Ministerio de Educación y C research project TSI2007-61599, by the Consellería Universitaria (Xunta de Galicia) incentives file 2007/00 de Promoción Xeral da Investigación de Consellería Comercio (Xunta de Galicia) PGIDIT05PXIC32204PN. * Corresponding author. E-mail address: yolanda@det.uvigo.es (Y. Blanco-F Current recommender systems attempt to identify appealing items for a user by applying syntactic matching techniques, which suffer from significant limitations that reduce the quality of the offered suggestions. To overcome this drawback, we have developed a domain-independent personalization strategy that borrows reasoning techniques from the Semantic Web, elaborating recommendations based on the semantic relationships inferred between the user’s preferences and the available items. Our reasoningbased approach improves the quality of the suggestions offered by the current personalization approaches, and greatly reduces their most severe limitations. To validate these claims, we have carried out a case study in the Digital TV field, in which our strategy selects TV programs interesting for the viewers from among the myriad of contents available in the digital streams. Our experimental evaluation compares the traditional approaches with our proposal in terms of both the number of TV programs suggested, and the users’ perception of the recommendations. Finally, we discuss concerns related to computational feasibility and scalability of our approach. 2008 Elsevier Inc. All rights reserved.
Adherence to Early Antiretroviral Therapy: Results From HPTN 052, a Phase III, Multinational Randomized Trial of ART to Prevent HIV-1 Sexual Transmission in Serodiscordant Couples.

BACKGROUND
Combination antiretroviral therapy (ART) for HIV-1-infected individuals prevents sexual transmission if viral load is suppressed.


METHODS
Participants were HIV-1-infected partners randomized to early ART (CD4 350-550) in HPTN052 (n = 886, median follow-up = 2.1 years), a clinical trial of early ART to prevent sexual transmission of HIV-1 in serodiscordant couples at 13 sites in 9 countries. Adherence was assessed through pill count (dichotomized at <95%) and through self-report items. Predictors of adherence were mental health and general health perceptions, substance use, binge drinking, social support, sexual behaviors, and demographics. Viral suppression was defined as HIV plasma viral load <400 copies per milliliter. Adherence counseling and couples' counseling about safer sex were provided. Logistic and linear regression models using generalized estimating equation for repeated measurements were used.


FINDINGS
Through pill count, 82% of participants were adherent at 1 month and 83.3% at 1 year. Mental health was the only psychosocial variable associated with adherence [pill count, odds ratios (OR) = 1.05, 95% confidence intervals (CIs): 1.00 to 1.11; self-report parameter estimate, OR = 0.02, 95% CI: 0.01 to 0.04], although regional differences emerged. Pill count (OR = 1.19, 95% CI: 1.10 to 1.30) and self-report (OR = 1.42, 95% CI: 1.14 to 1.77) adherence were associated with viral suppression.


INTERPRETATION
Although adherence was high among individuals in stable relationships taking ART for prevention, mental health and adherence covaried. Assessing and intervening on mental health in the context of promoting adherence to ART as prevention should be explored. Adherence and couples' counseling, feedback about viral suppression, and/or altruism may also help explain the magnitude of adherence observed.
Changes in time to insulin initiation in type 2 diabetes patients: a retrospective database analysis in Germany and UK (2005-2010).

AIMS
To study whether the time to insulin therapy in type 2 diabetic patients in primary care in Germany and UK has increased (2005-2010).


METHODS
Longitudinal data from general practices in Germany and UK (Disease Analyser) from 1995 to 2010 were analyzed. Patients who started their insulin treatment from 2005 to 2010 were analyzed regarding the time from the first diabetes diagnosis in the practices (index date) and the first insulin prescription, including 6368 patients (age: 68 (SD: 12) years) in Germany and 1998 patients (age: 64 (12) yrs) in UK.


RESULTS
Median (interquartile range) time to insulin therapy in the practices increased from 943 (214-1994) days in 2005 to 1549 (957-2533) days in 2010 (p < 0.001). In UK, time to onset of insulin treatment increased from 1700 (649-2521) days in 2005 to 2061 (1309-2686) days in 2010 (p < 0.001). The last HbA1c values before insulin initiation were high and slightly increased during the study period (Germany: 2005: 8.2%, 2010: 8.4%; UK: 2005: 9.5%, 2010: 9.8%; both p < 0.001).


CONCLUSIONS
This real world data shows that the time to insulin therapy has increased in type 2 diabetes patients from 2005 to 2010 (Germany, UK). The average HbA1c values before insulin therapy also slightly increased during this period.
A Vector Error Correction Model ( VECM ) Approach in Explaining the Relationship Between Interest Rate and Inflation Towards Exchange Rate Volatility in Malaysia

The exchange rate is one of the most important determinants of a country's relative level of economic health. Exchange rate plays a vital role in a country's level of trade, which is critical to most free market economies in the world. This paper is an attempt to analyze the relationship between interest rate, inflation rate and exchange rate volatility in Malaysia covering the period between 1999-2009. This paper used time-series Vector Error Correction Model (VECM) approach of stationarity test, cointegration test, stability test and Granger causality test. Impulse Response Function (IRF) has also been generated to explain the response to shock amongst the variables. The results show that the inflation rate impacts the interest rate as indicated by Granger-cause. Subsequently the interest rate influences the exchange rate as shown by the Granger cause test. Taking into account a long term relationship, interest rate moves positively while inflation rate goes negatively towards exchange rate volatility in Malaysia. The implication of this study is that increasing the interest rate can be efficient in restraining exchange rate volatility. Future researchers should attempt to use panel data and cover longer study duration of above10 years by using other variables.