LLukas22/scidocs huggingface dataset:
Effects of resistance exercise combined with vascular occlusion on muscle function in athletes

The effects of resistance exercise combined with vascular occlusion on muscle function were investigated in highly trained athletes. Elite rugby players (n=17) took part in an 8 week study of exercise training of the knee extensor muscles, in which low-intensity [about 50% of one repetition maximum] exercise combined with an occlusion pressure of about 200 mmHg (LIO, n=6), low-intensity exercise without the occlusion (LI, n=6), and no exercise training (untrained control, n=5) were included. The exercise in the LI group was of the same intensity and amount as in the LIO group. The LIO group showed a significantly larger increase in isokinetic knee extension torque than that in the other two groups (P<0.05) at all the velocities studied. On the other hand, no significant difference was seen between LI and the control group. In the LIO group, the cross-sectional area of knee extensors increased significantly (P<0.01), suggesting that the increase in knee extension strength was mainly caused by muscle hypertrophy. The dynamic endurance of knee extensors estimated from the decreases in mechanical work production and peak force after 50 repeated concentric contractions was also improved after LIO, whereas no significant change was observed in the LI and control groups. The results indicated that low-intensity resistance exercise causes, in almost fully trained athletes, increases in muscle size, strength and endurance, when combined with vascular occlusion.
Sums over Graphs and Integration over Discrete Groupoids

We show that sums over graphs such as appear in the theory of Feynman diagrams can be seen as integrals over discrete groupoids. From this point of view, basic combinatorial formulas of the theory of Feynman diagrams can be interpreted as pull-back or push-forward formulas for integrals over suitable groupoids.
Roughness and Fuzziness in Ordered Ternary Semigroups

In this paper, we introduced the concepts of roughness and fuzziness in ordered ternary semigroups. We proved that the lower and upper approximation of an ordered ternary subsemigroup (resp. left ideal, right ideal, lateral ideal, bi-ideal, interior ideal) in an ordered ternary semigroup is an ordered ternary subsemigroup (resp. left ideal, right ideal, lateral ideal, bi-ideal, interior ideal). Finally, we define fuzzy ternary subsemigroup (resp. left ideal, right ideal, lateral ideal, bi-ideal, interior ideal) in an ordered ternary semigroup. 2010 mathematics subject classification: 20N99 • 06F99 • 06D72 • 08A72
The relationship between academic self-concept, intrinsic motivation, test anxiety, and academic achievement among nursing students: mediating and moderating effects.

BACKGROUND
The impact of cognitive factors on academic achievement is well documented. However, little is known about the mediating and moderating effects of non-cognitive, motivational and situational factors on academic achievement among nursing students.


PURPOSE
The aim of this study is to explore the direct and/or indirect effects of academic self-concept on academic achievement, and examine whether intrinsic motivation moderates the negative effect of test anxiety on academic achievement.


METHOD
This descriptive-correlational study was carried out on a convenience sample of 170 undergraduate nursing students, in an academic college in northern Israel. Academic motivation, academic self-concept and test anxiety scales were used as measuring instruments. Bootstrapping with resampling strategies was used for testing multiple mediators' model and examining the moderator effect.


RESULTS
A higher self-concept was found to be directly related to greater academic achievement. Test anxiety and intrinsic motivation were found to be significant mediators in the relationship between self-concept and academic achievement. In addition, intrinsic motivation significantly moderated the negative effect of test anxiety on academic achievement.


CONCLUSION
The results suggested that institutions should pay more attention to the enhancement of motivational factors (e.g., self-concept and motivation) and alleviate the negative impact of situational factors (e.g., test anxiety) when offering psycho-educational interventions designed to improve nursing students' academic achievements.
Algorithmic stability and hypothesis complexity

We introduce a notion of algorithmic stability of learning algorithms—that we term hypothesis stability—that captures stability of the hypothesis output by the learning algorithm in the normed space of functions from which hypotheses are selected. e main result of the paper bounds the generalization error of any learning algorithm in terms of its hypothesis stability. e bounds are based on martingale inequalities in the Banach space to which the hypotheses belong. We apply the general bounds to bound the performance of some learning algorithms based on empirical risk minimization and stochastic gradient descent. Parts of the work were done when Tongliang Liu was a visiting PhD student at Pompeu Fabra University. School of Information Technologies, Faculty Engineering and Information Technologies, University of Sydney, Sydney, Australia, tliang.liu@gmail.com, dacheng.tao@sydney.edu.au Department of Economics and Business, Pompeu Fabra University, Barcelona, Spain, gabor.lugosi@upf.edu ICREA, Pg. Llus Companys 23, 08010 Barcelona, Spain Barcelona Graduate School of Economics AI group, DTIC, Universitat Pompeu Fabra, Barcelona, Spain, gergely.neu@gmail.com 1
Fluticasone furoate/vilanterol 200/25 mcg in Asian asthma patients: a randomized trial.

BACKGROUND
This study investigated the efficacy and safety of the inhaled corticosteroid (ICS)/long-acting beta2-agonist (LABA) combination fluticasone furoate (FF)/vilanterol (VI) in Asian asthma patients.


METHODS
A 12-week, double-blind, double-dummy, active-comparator, parallel-group, multicenter study. 309 Asian asthma patients (≥12 years, uncontrolled with high-strength ICS or mid-dose ICS/LABA) were randomized (1:1) and included in the intent-to-treat population; 155 received once-daily FF/VI 200/25 mcg and 154 received twice-daily fluticasone propionate (FP) 500 mcg. The primary endpoint was change from baseline in daily evening peak expiratory flow (PEF) averaged over 12 weeks. Secondary endpoints were mean change from baseline in % rescue-free 24-h periods, daily morning PEF, % symptom-free 24-h periods, and overall Asthma Quality of Life Questionnaire score. Safety assessments were performed.


RESULTS
For change from baseline in daily evening PEF, the adjusted mean treatment difference for FF/VI versus FP of 28.5 L/min (95% confidence interval [CI]: 20.1, 36.9) was clinically and statistically significant (p < 0.001). For change from baseline in % rescue-free 24-h periods, the adjusted mean treatment difference (1.0%; 95% CI: -7.3, 9.2) was not statistically significant (p = 0.821). Statistical significance could not be inferred for the remaining endpoints due to the statistical hierarchy employed. Incidence of on-treatment adverse events was similar with FF/VI (26%; 3% treatment-related; n = 1 serious) and FP (27%; 3% treatment-related; n = 2 serious); none were fatal. No further safety concerns were identified.


CONCLUSIONS
FF/VI improved evening PEF over 12 weeks versus FP in Asian patients, with a similar safety profile. The results are generally consistent with a global study comparing the same treatments.
Big Data: Perspektiven fuer Smart Grids und Smart Buildings

This paper present a short survey about recent trends on the arising field of big data. After a definition and explanation of ”Big Data” and a discussion why data sizes increase, appropriate methods to solve big data problems are introduced. In addition, recent applications and future potentials in smart buildings and smart grids are discussed.
The Relationship between Burnout Syndrome and Emotional Intelligence in Healthcare Professionals

Objectives: Burnout syndrome (B.S.) affects millions of workers around the world, having a significant impact on their quality of life and the services they provide. It’s a psycho-social phenomenon, which can be handled through emotional management and psychological help. Emotional Intelligence (E.I) is very important to emotional management. This paper aims to investigate the relationship between Burnout syndrome and Emotional Intelligence in health professionals occupied in the sector of rehabilitation. Methods: The data were collected from a sample of 148 healthcare professionals, workers in the field of rehabilitation, who completed Maslach Burnout Inventory questionnaire, Trait Emotional Intelligence Que-Short Form questionnaire and a questionnaire collecting demographic data as well as personal and professional information. Simple linear regression and multiple regression analyses were conducted to analyze the data. Results: The results indicated that there is a positive relationship between Emotional Intelligence and Burnout syndrome as Emotional Intelligence acts protectively against Burnout syndrome and even reduces it. In particular, it was found that the higher the Emotional Intelligence, the lower the Burnout syndrome. Also, among all factors of Emotional Intelligence, “Emotionality”, seems to influence Burnout syndrome the most, as, the higher the rate of Emotionality, the lower the rate of Burnout. At the same time, evidence was found on the variability of Burnout syndrome through various models of explanation and correlation between Burnout syndrome and Emotional Intelligence and also, Burnout syndrome and Emotional Intelligence factors. Conclusion: Employers could focus on building emotional relationships with their employees, especially in the health care field. Furthermore, they could also promote some experimental seminars, sponsored by public or private institutions, in order to enhance Emotional Intelligence and to improve the workers’ quality of life and the quality of services they provide.
Sociological Theories of Crime and Delinquency

This review examines the most frequently cited sociological theories of crime and delinquency. The major theoretical perspectives are presented, beginning with anomie theory and the theories associated with the Chicago School of Sociology. They are followed by theories of strain, social control, opportunity, conflict, and developmental life course. The review concludes with a conceptual map featuring the inter-relationships and contexts of the major theoretical perspectives.
Substance use among Dutch homeless people, a follow-up study: prevalence, pattern and housing status.

BACKGROUND
Previous studies have shown that substance use among homeless people is a prevalent problem that is associated with longer durations of homelessness. Most studies of substance use among the homeless were carried out outside Europe and have limited generalizability to European countries. This study therefore aimed to address the prevalence of substance use among homeless people in the Netherlands, the pattern of their use and the relationship with housing status at follow-up.


METHODS
This study included 344 participants (67.1% of the initial cohort) who were followed from baseline to 18 months after the baseline interview. Multinomial logistic regression analyses examined the relationship between substance use and housing status.


RESULTS
The most reported substances which were used among these homeless people were cannabis (43.9%) and alcohol (≥5 units on one occasion) (30.7%). Other substances were used by around 5% or less of the participants. Twenty-seven percent were classified as substance misuser and 20.9% as substance dependent. The odds to be marginally housed (4.14) or institutionalized (2.12) at follow-up compared to being housed of participants who were substance users were significantly higher than those of participants who did not use substances. The odds to be homeless were more than twice as high (2.80) for participants who were substance dependent compared with those who were not.


CONCLUSION
Homeless people who use substances have a more disadvantageous housing situation at follow-up than homeless people who do not use substances. Attention is needed to prevent and reduce long-term homelessness among substance-using homeless people.
Sexual nuances within internal labor markets: ‘The politics of being known’

Abstract The author analyzes the benefit of being known within an organization for women compared to men. Dual/internal labor market theorists maintain that higher-level positions within organizations are primarily filled from internal sources, namely, through promotion of already employed workers in ladder positions. An argument is made that this process differs by gender and puts women at a disadvantage. This bias helps maintain the glass ceiling which keeps women out of top level positions within organizations.
In the weeds: a baseline view of cannabis use among legalizing states and their neighbours.

AIMS
To describe patterns of cannabis use, the degree of overlap between medicinal and recreational users, and their differential use patterns, modes of consumption and sources of cannabis.


DESIGN
An ongoing probability-based internet panel maintained by the market research firm GfK Group.


SETTING
Households in Colorado, Washington, Oregon and New Mexico, USA.


PARTICIPANTS
A total of 2009 individuals from Washington (n = 787), Oregon (n = 506), Colorado (n = 503) and New Mexico (n = 213). Post stratification sampling weights were provided so that estimates could be made representative of the household population in each of these states. Respondents were aged between 18 and 91 years, with a mean age of 53 years.


METHODS
We compare patterns of cannabis consumption for medicinal and recreational users as well as simultaneous use of alcohol and cannabis. We also examine the extent to which patterns of use differ across states that chose to legalize (Washington and Colorado) and those that did not (New Mexico and Oregon).


FINDINGS
Rates of life-time medical cannabis use are similar in Colorado and Washington (8.8% and 8.2%) but lower in Oregon and New Mexico (6.5% and 1%). Recreational use is considerably higher than medical use across all states (41%), but highest in Oregon and Washington. Approximately 86% of people who report ever using cannabis for medicinal purposes also use it recreationally. Medical users are more likely to vaporize and consume edibles and report a higher amount (in grams) consumed, and spend more money per month than recreational users. Individuals who use cannabis do not commonly use it with alcohol, irrespective of whether they are consuming cannabis recreationally or medically. Fewer than one in five recreational users report simultaneous use of alcohol and cannabis most or all of the time and fewer than 3% of medicinal users report frequent simultaneous use of alcohol and cannabis.


CONCLUSIONS
In the United States, the degree of overlap between medicinal and recreational cannabis users is 86%. Medicinal and recreational cannabis users favor different modes and amounts of consumption. Only a small proportion (12%) of cannabis users usually consume cannabis and alcohol simultaneously, while concurrent use is common among recreational users.
Educational Standards in Private and Public Schools

When school quality increases with the educational standard set by schools, education before college need not be a hierarchy with private schools offering better quality than public schools. In our model, private schools can offer a lower educational standard at a positive price because they attract students with a relatively high cost of effort, who would find the high standards of public schools excessively demanding. We estimate the key parameters of the model and show that majority voting supports a system where private schools have higher quality in the US and public schools have higher quality in Italy.
Fair loss-tolerant quantum coin flipping

Guido Berĺın, ∗ Gilles Brassard, † Félix Bussières, 3, ‡ and Nicolas Godbout § Département d’informatique et de recherche opérationnelle, Université de Montréal C.P. 6128, Succursale Centre-Ville, Montréal, Québec, H3C 3J7 Canada Laboratoire des fibres optiques, Département de génie physique, École Polytechnique de Montréal C.P. 6079, Succursale Centre-Ville, Montréal, Québec, H3C 3A7 Canada Institute for Quantum Information Science and Department of Physics and Astronomy University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4 Canada (Dated: May 4, 2009)
Medical vs. surgical abortion: the importance of women's choice.

BACKGROUND
Using a large national sample of women undergoing an abortion in France, we explore the factors associated with medical or surgical abortion. We draw particular attention to the influence of women's preferences in the decision-making process.


STUDY DESIGN
The data are drawn from a nationally representative survey of 8,245 women undergoing an elective abortion in France in 2007. Analyses of factors associated with the type of abortion technique were performed among the 4,650 women who were identified as being eligible for the two techniques.


RESULTS
Sixty-eight percent of all abortions were medical procedures among women eligible for both techniques. The type of abortion technique was not dependent on women's age, parity, cohabitation status, socioeconomic circumstances nor on the type of facility providing the abortion (private or public). Conversely, women's participation in the decision-making process was strongly associated with the type of abortion method. Among the 50% of women who reported they had been given a choice, 84% underwent a medical procedure vs. 52% of those who were not offered a choice. Among the 2,286 women who were not involved in the decision, 35% indicated they trusted their doctor to make the best choice for them, while 44% were told it was too late for a medical procedure, although they had consulted before 8 weeks of amenorrhea.


CONCLUSION
In this sample of French women who participated in a national survey on abortion, those who were involved in the decision-making process as to whether to have a medical or surgical procedure showed a strong preference for the medical procedure.
The Impact of Interpretation Problems on Tutorial Dialogue

Supporting natural language input may improve learning in intelligent tutoring systems. However, interpretation errors are unavoidable and require an effective recovery policy. We describe an evaluation of an error recovery policy in the BEETLE II tutorial dialogue system and discuss how different types of interpretation problems affect learning gain and user satisfaction. In particular, the problems arising from student use of non-standard terminology appear to have negative consequences. We argue that existing strategies for dealing with terminology problems are insufficient and that improving such strategies is important in future ITS research.
Very deep multilingual convolutional neural networks for LVCSR

Convolutional neural networks (CNNs) are a standard component of many current state-of-the-art Large Vocabulary Continuous Speech Recognition (LVCSR) systems. However, CNNs in LVCSR have not kept pace with recent advances in other domains where deeper neural networks provide superior performance. In this paper we propose a number of architectural advances in CNNs for LVCSR. First, we introduce a very deep convolutional network architecture with up to 14 weight layers. There are multiple convolutional layers before each pooling layer, with small 3×3 kernels, inspired by the VGG Imagenet 2014 architecture. Then, we introduce multilingual CNNs with multiple untied layers. Finally, we introduce multi-scale input features aimed at exploiting more context at negligible computational cost. We evaluate the improvements first on a Babel task for low resource speech recognition, obtaining an absolute 5.77% WER improvement over the baseline PLP DNN by training our CNN on the combined data of six different languages. We then evaluate the very deep CNNs on the Hub5'00 benchmark (using the 262 hours of SWB-1 training data) achieving a word error rate of 11.8% after cross-entropy training, a 1.4% WER improvement (10.6% relative) over the best published CNN result so far.
An In-Depth Analysis of Patient-Reported Outcomes in Patients With Chronic Hepatitis C Treated With Different Anti-Viral Regimens

OBJECTIVES:Interferon- and ribavirin (RBV)-containing regimens negatively impact patients’ experience. The aim of this study was to quantify the impact of different anti-viral regimens for hepatitis C on patients’ work productivity, fatigue, and other patient-reported outcomes (PROs).METHODS:The PRO data from multicenter multinational phase 3 clinical trials of sofosbuvir with and without interferon or RBV were retrospectively used. Treatment regimens were classified as interferon+RBV-containing, interferon-free RBV-containing, and interferon-free RBV-free. Four PRO instruments (SF-36, CLDQ-HCV, FACIT-F, and WPAI:SHP) were administered to subjects at baseline, during, and up to 24 weeks after treatment.RESULTS:We included 3,425 subjects with chronic hepatitis C infection with PRO data. Patients were 62.8% male, 62.2% treatment naive, 18.1% with cirrhosis, and 72.9% with HCV genotype 1. Of the study participants, 546 received interferon+RBV+sofosbuvir, 1,721 received sofosbuvir+RBV, and 1,158 received interferon- and RBV-free ledipasvir+sofosbuvir. At baseline, there were no difference in PROs between treatment groups (all P>0.01). During treatment, the decrements in PROs were up to −23.6% for the interferon+RBV group, up to −7.0% in the sofosbuvir+RBV group, whereas there was an improvement of up to +11.6% in the interferon-free RBV-free group (all P<0.0001). In multivariate analysis, the use of interferon was independently associated with up to −26.0% worsening of the PRO scores during treatment and the use of RBV with up to −9.0% worsening. After 12 weeks post-treatment, in patients with sustained virologic response-12, improvements were observed regardless of the regimen, and these improvements continued to increase by week 24 of follow-up.CONCLUSIONS:The use of interferon- and RBV-free regimens for HCV is associated with better patients’ experience and work productivity during treatment.
Diabetic Prognosis through Data Mining Methods and Techniques

Data mining now-a-days plays an important role in prediction of diseases in health care industry. Data mining is the process of selecting, exploring, and modeling large amounts of data to discover unknown patterns or relationships useful to the data analyst. Medical data mining has emerged impeccable with potential for exploring hidden patterns from the data sets of medical domain. These patterns can be utilized for fast and better clinical decision making for preventive and suggestive medicine. However raw medical data are available widely distributed, heterogeneous in nature and voluminous for ordinary processing. Data mining and Statistics can collectively work better towards discovering hidden patterns and structures in data. In this paper, two major Data Mining techniques v.i.z., FP-Growth and Apriori have been used for application to diabetes dataset and association rules are being generated by both of these algorithms.