LLukas22/scidocs huggingface dataset:
Physiology of small-sided games training in football: a systematic review.

Small-sided games (SSGs) are played on reduced pitch areas, often using modified rules and involving a smaller number of players than traditional football. These games are less structured than traditional fitness training methods but are very popular training drills for players of all ages and levels. At present, there is relatively little information regarding how SSGs can best be used to improve physical capacities and technical or tactical skills in footballers. However, many prescriptive variables controlled by the coach can influence the exercise intensity during SSGs. Coaches usually attempt to change the training stimulus in SSGs through altering the pitch area, player number, coach encouragement, training regimen (continuous vs interval training), rules and the use of goalkeepers. In general, it appears that SSG exercise intensity is increased with the concurrent reduction in player number and increase in relative pitch area per player. However, the inverse relationship between the number of players in each SSG and exercise intensity does not apply to the time-motion characteristics. Consistent coach encouragement can also increase training intensity, but most rule changes do not appear to strongly affect exercise intensity. The variation of exercise intensity measures are lower in smaller game formats (e.g. three vs three) and have acceptable reproducibility when the same game is repeated between different training sessions or within the same session. The variation in exercise intensity during SSGs can also be improved with consistent coach encouragement but it is still more variable than traditional generic training methods. Other studies have also shown that SSGs containing fewer players can exceed match intensity and elicit similar intensities to both long- and short-duration high-intensity interval running. It also appears that fitness and football-specific performance can be improved equally with SSG and generic training drills. Future research is required to examine the optimal periodization strategies of SSGs training for the long-term development of physiological capacity, technical skill and tactical proficiency.
A novel serum metabolomics-based diagnostic approach to pancreatic cancer.

BACKGROUND
To improve the prognosis of patients with pancreatic cancer, more accurate serum diagnostic methods are required. We used serum metabolomics as a diagnostic method for pancreatic cancer.


METHODS
Sera from patients with pancreatic cancer, healthy volunteers, and chronic pancreatitis were collected at multiple institutions. The pancreatic cancer and healthy volunteers were randomly allocated to the training or the validation set. All of the chronic pancreatitis cases were included in the validation set. In each study, the subjects' serum metabolites were analyzed by gas chromatography mass spectrometry (GC/MS) and a data processing system using an in-house library. The diagnostic model constructed via multiple logistic regression analysis in the training set study was evaluated on the basis of its sensitivity and specificity, and the results were confirmed by the validation set study.


RESULTS
In the training set study, which included 43 patients with pancreatic cancer and 42 healthy volunteers, the model possessed high sensitivity (86.0%) and specificity (88.1%) for pancreatic cancer. The use of the model was confirmed in the validation set study, which included 42 pancreatic cancer, 41 healthy volunteers, and 23 chronic pancreatitis; that is, it displayed high sensitivity (71.4%) and specificity (78.1%); and furthermore, it displayed higher sensitivity (77.8%) in resectable pancreatic cancer and lower false-positive rate (17.4%) in chronic pancreatitis than conventional markers.


CONCLUSIONS
Our model possessed higher accuracy than conventional tumor markers at detecting the resectable patients with pancreatic cancer in cohort including patients with chronic pancreatitis.


IMPACT
It is a promising method for improving the prognosis of pancreatic cancer via its early detection and accurate discrimination from chronic pancreatitis.
An optimization method of the machining parameters in high-speed machining of stainless steel using coated carbide tool for best surface finish

High-speed machining (HSM) has emerged as a key technology in rapid tooling and manufacturing applications. Compared with traditional machining, the cutting speed, feed rate has been great progress, and the cutting mechanism is not the same. HSM with coated carbide cutting tools used in high-speed, high temperature situations and cutting more efficient and provided a lower surface roughness. However, the demand for high quality focuses extensive attention to the analysis and prediction of surface roughness and cutting force as the level of surface roughness and the cutting force partially determine the quality of the cutting process. This paper presents an optimization method of the machining parameters in highspeed machining of stainless steel using coated carbide tool to achieve minimum cutting forces and better surface roughness. Taguchi optimization method is the most effective method to optimize the machining parameters, in which a response variable can be identified. The standard orthogonal array of L9 (3 ) was employed in this research work and the results were analyzed for the optimization process using signal to noise (S/N) ratio response analysis and Pareto analysis of variance (ANOVA) to identify the most significant parameters affecting the cutting forces and surface roughness. For such application, several machining parameters are considered to be significantly affecting cutting forces and surface roughness. These parameters include the lubrication modes, feed rate, cutting speed, and depth of cut. Finally, conformation tests were carried out to investigate the improvement of the optimization. The result showed a reduction of 25.5% in the cutting forces and 41.3% improvement on the surface roughness performance.
Plasma 25-hydroxyvitamin D and risk of metabolic syndrome: an ancillary analysis in the Diabetes Prevention Program

Background/Objectives:Low blood levels of 25-hydroxyvitamin D (25OHD) have been associated with cardiometabolic disease but results are inconsistent. The objective of the study was to investigate the association of 25OHD with metabolic syndrome in a population at increased risk for diabetes.Subjects/Methods:Using baseline data from the placebo and lifestyle intervention arms of the Diabetes Prevention Program (N=2000), multivariable logistic regression models were used to estimate the odds of prevalent metabolic syndrome and each of its individual components across 25OHD tertiles. Multivariable linear regression was used to estimate the adjusted mean difference of insulin secretion and sensitivity across the same 25OHD tertiles. In participants free of metabolic syndrome at baseline (N=546), incident metabolic syndrome in the first 2 years of follow-up was assessed using discrete-time proportional hazards regression to test its association with 25OHD concentration.Results:After multivariate adjustment, participants in the highest tertile of 25OHD had lower odds of prevalent metabolic syndrome (odds ratio=0.62; 95% confidence interval (CI)=0.45–0.84), smaller waist circumference, higher high-density lipoprotein and lower fasting plasma glucose compared with participants in the lowest tertile of 25OHD. Higher plasma 25OHD concentration was associated with greater insulin sensitivity and lower insulin secretion. After multivariate adjustment, there was a nonsignificant lower risk of metabolic syndrome in the highest tertile of 25OHD (hazard ratio=0.79; 95% CI=0.48–1.32) compared with the lowest tertile.Conclusions:In a population at increased risk for diabetes, higher plasma 25OHD concentration was inversely associated with prevalent metabolic syndrome and nonsignificantly with incident metabolic syndrome.
海老名市の植生 : 緑の実態調査と都市環境保全・創造に対する植生学的研究

Contribution from the Department of Vegetation Science, Institute of Environmental Science and Technology, Yokohama National University No. 183
Hymenal anomalies in twins—review of the literature and case report

Subocclusive hymenal variants, such as microperforate or septate hymen, impair somatic functions (e.g., vaginal intercourse or menstrual hygiene) and can negatively impact the quality of life of young women. We know little about the prevalence and inheritance of subocclusive hymenal variants. So far, eight cases of familial occurrence of occlusive hymenal anomalies (imperforate hymen) have been reported. In one of these cases, monozygotic twins were affected. We are reporting the first case of subocclusive hymenal variants (microperforate hymen and septate hymen) in 16-year-old white dizygotic twins. In addition, we review and discuss the current evidence. Conclusion: The mode of inheritance of hymenal variants has not been determined so far. Because surgical corrections of hymenal variants should be carried out in asymptomatic patients (before menarche), gynecologists and pediatricians should keep in mind that familial occurrences may occur.
Albuminuria, estimated GFR, traditional risk factors, and incident cardiovascular disease: the PREVEND (Prevention of Renal and Vascular Endstage Disease) study.

BACKGROUND
Abnormal levels of both albuminuria and estimated glomerular filtration rate (eGFR) have been reported separately to be associated with cardiovascular risk. This study assessed the contribution of each separately in correctly identifying individuals at cardiovascular risk in the general population beyond traditional risk markers.


STUDY DESIGN
Prospective community-based cohort study.


SETTING & PARTICIPANTS
8,507 individuals from the city of Groningen in the Netherlands followed up for 10.5 years for cardiovascular morbidity and mortality.


PREDICTOR OR FACTOR
The contribution of albuminuria and eGFR separately on top of the traditional Framingham risk factors was assessed.


OUTCOMES
The composite of first occurrence of myocardial infarction, stroke, ischemic heart disease, revascularization procedure, and all-cause mortality.


MEASUREMENTS
At the baseline visit, albuminuria was measured in 2 consecutive 24-hour urine samples. eGFR was calculated using the serum creatinine-based CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equation.


RESULTS
In multivariable Cox regression models, albuminuria, but not eGFR, was associated independently with the primary study outcome (HR, 1.08 [95% CI, 1.04-1.12] per doubling of albuminuria). When added to the risk model consisting of Framingham risk factors, albuminuria significantly contributed to better risk stratification, shown by an increase in net reclassification index of 7.2% (95% CI, 3.3%-11.0%; P<0.001) and increase in relative incremental discrimination improvement of 3.0% (95% CI, 0.9%-5.1%; P=0.006).


LIMITATIONS
The cohort includes mainly individuals of European ancestry. Therefore, results should not be extrapolated to other ethnicities.


CONCLUSION
In a general population cohort, albuminuria, but not eGFR, significantly adds to traditional cardiovascular risk factors in identifying individuals at risk of cardiovascular morbidity and all-cause mortality.
Reading aloud to children: the evidence.

Promoting healthy child development lies at the heart of paediatric practice, yet a major challenge facing the field is applying evidence based standards. However, the evidence is clear as regards reading aloud to children. Ample research demonstrates that reading aloud to young children promotes the development of language and other emergent literacy skills, which in turn help children prepare for school. 5
Centimeter-Wave Concept for 5G Ultra-Dense Small Cells

Ultra-dense small cells are foreseen to play an essential role in the 5th generation (5G) of mobile radio access technology, which will be operating over different bands with respect to established systems. The natural step for exploring new spectrum is to look into the centimeter-wave bands as well as exploring millimeter-wave bands. This paper presents our vision on the technology components for a 5G centimeter-wave concept for ultra-dense small cells. Fundamental features such as optimized short frame structure, multi-antenna technologies, interference rejection, rank adaptation and dynamic scheduling of uplink/downlink transmission are discussed, along with the design of a novel flexible waveform and energy-saving enablers.
Complete primary pachydermoperiostosis: A case report from Jordan and review of literature

Complete Primary Pachydermoperiostosis is a rare syndrome that presents with skin and skeletal manifestations. Though diagnosis can be made on the basis of the classic clinical and radiological features, it is often missed due to variable presentations. Therefore, it is important to know about this syndrome to reach correct diagnosis.
Using Reinforcement Learning for Autonomic Resource Allocation in Clouds: Towards a Fully Automated Workflow

Dynamic and appropriate resource dimensioning is a crucial issue in cloud computing. As applications go more and more 24/7, online policies must be sought to balance performance with the cost of allocated virtual machines. Most industrial approaches to date use ad hoc manual policies, such as thresholdbased ones. Providing good thresholds proved to be tricky and hard to automatize to fit every application requirement. Research is being done to apply automatic decision-making approaches, such as reinforcement learning. Yet, they face a lot of problems to go to the field: having good policies in the early phases of learning, time for the learning to converge to an optimal policy and coping with changes in the application performance behavior over time. In this paper, we propose to deal with these problems using appropriate initialization for the early stages as well as convergence speedups applied throughout the learning phases and we present our first experimental results for these. We also introduce a performance model change detection on which we are currently working to complete the learning process management. Even though some of these proposals were known in the reinforcement learning field, the key contribution of this paper is to integrate them in a real cloud controller and to program them as an automated workflow. Keywords-Cloud computing; virtual machine allocation; reinforcement learning; autonomic computing.
Promoting empathy among medical students: A two-site randomized controlled study.

OBJECTIVE
To assess the effects of Balint groups on empathy measured by the Consultation And Relational Empathy Measure (CARE) scale rated by standardized patients during objective structured clinical examination and self-rated Jefferson's School Empathy Scale - Medical Student (JSPE-MS©) among fourth-year medical students.


METHODS
A two-site randomized controlled trial were planned, from October 2015 to December 2015 at Paris Diderot and Paris Descartes University, France. Eligible students were fourth-year students who gave their consent to participate. Participants were allocated in equal proportion to the intervention group or to the control group. Participants in the intervention group received a training of 7 sessions of 1.5-hour Balint groups, over 3months. The main outcomes were CARE and the JSPE-MS© scores at follow-up.


RESULTS
Data from 299 out of 352 randomized participants were analyzed: 155 in the intervention group and 144 in the control group, with no differences in baseline measures. There was no significant difference in CARE score at follow-up between the two groups (P=0.49). The intervention group displayed significantly higher JSPE-MS© score at follow-up than the control group [Mean (SD): 111.9 (10.6) versus 107.7 (12.7), P=0.002]. The JSPE-MS© score increased from baseline to follow-up in the intervention group, whereas it decreased in the control group [1.5 (9.1) versus -1.8 (10.8), P=0.006].


CONCLUSIONS
Balint groups may contribute to promote clinical empathy among medical students.


TRIAL REGISTRATION
NCT02681380.
Geographic and Sociodemographic Disparities in Drive Times to Joint Commission–Certified Primary Stroke Centers in North Carolina, South Carolina, and Georgia

INTRODUCTION
Timely access to facilities that provide acute stroke care is necessary to reduce disabilities and death from stroke. We examined geographic and sociodemographic disparities in drive times to Joint Commission-certified primary stroke centers (JCPSCs) and other hospitals with stroke care quality improvement initiatives in North Carolina, South Carolina, and Georgia.


METHODS
We defined boundaries for 30- and 60-minute drive-time areas to JCPSCs and other hospitals  by  using geographic information systems (GIS) mapping technology and calculated the proportions of the population living in these drive-time areas by sociodemographic characteristics. Age-adjusted county-level stroke death rates were overlaid onto the drive-time areas.


RESULTS
Approximately 55% of the population lived within a 30-minute drive time to a JCPSC; 77% lived within a 60-minute drive time. Disparities in percentage of the population within 30-minute drive times were found by race/ethnicity, education, income, and urban/rural status; the disparity was largest between urban areas (70% lived within 30-minute drive time) and rural areas (26%). The rural coastal plains had the largest concentration of counties with high stroke death rates and the fewest JCPSCs.


CONCLUSION
Many areas in this tri-state region lack timely access to JCPSCs. Alternative strategies are needed to expand provision of quality acute stroke care in this region. GIS modeling is valuable for examining and strategically planning the distribution of hospitals providing acute stroke care.
Dermoscopy pathology correlation in melanoma.

Dermoscopy is a widely used technique whose role in the clinical (and preoperative) diagnosis of melanocytic and non-melanocytic skin lesions has been well established in recent years. The aim of this paper is to clarify the correlations between the "local" dermoscopic findings in melanoma and the underlying histology, in order to help clinicians in routine practice.
Martial arts injuries.

OBJECTIVE
To review the current evidence for the epidemiology of pediatric injuries in martial arts.


DATA SOURCES
The relevant literature was searched using SPORT DISCUS (keywords: martial arts injuries, judo injuries, karate injuries, and taekwondo injuries and ProQuest (keywords: martial arts, taekwondo, karate, and judo), as well as hand searches of the reference lists.


MAIN RESULTS
In general, the absolute number of injuries in girls is lower than in boys. However, when expressed relative to exposure, the injury rates of girls are higher. Injuries by body region reflect the specific techniques and rules of the martial art. The upper extremities tend to get injured more often in judo, the head and face in karate and the lower extremities in taekwondo. Activities engaged in at the time of injury included performing a kick or being thrown in judo, while punching in karate, and performing a roundhouse kick in taekwondo. Injury type tends to be martial art specific with sprains reported in judo and taekwondo and epistaxis in karate. Injury risk factors in martial arts include age, body weight and exposure.


CONCLUSIONS
Preventive measures should focus on education of coaches, referees, athletes, and tournament directors. Although descriptive research should continue, analytical studies are urgently needed.
phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data

BACKGROUND
the analysis of microbial communities through dna sequencing brings many challenges: the integration of different types of data with methods from ecology, genetics, phylogenetics, multivariate statistics, visualization and testing. With the increased breadth of experimental designs now being pursued, project-specific statistical analyses are often needed, and these analyses are often difficult (or impossible) for peer researchers to independently reproduce. The vast majority of the requisite tools for performing these analyses reproducibly are already implemented in R and its extensions (packages), but with limited support for high throughput microbiome census data.


RESULTS
Here we describe a software project, phyloseq, dedicated to the object-oriented representation and analysis of microbiome census data in R. It supports importing data from a variety of common formats, as well as many analysis techniques. These include calibration, filtering, subsetting, agglomeration, multi-table comparisons, diversity analysis, parallelized Fast UniFrac, ordination methods, and production of publication-quality graphics; all in a manner that is easy to document, share, and modify. We show how to apply functions from other R packages to phyloseq-represented data, illustrating the availability of a large number of open source analysis techniques. We discuss the use of phyloseq with tools for reproducible research, a practice common in other fields but still rare in the analysis of highly parallel microbiome census data. We have made available all of the materials necessary to completely reproduce the analysis and figures included in this article, an example of best practices for reproducible research.


CONCLUSIONS
The phyloseq project for R is a new open-source software package, freely available on the web from both GitHub and Bioconductor.
A Dual-Band Wilkinson Power Divider

A new scheme is proposed for the dual-band operation of the Wilkinson power divider/combiner. The dual band operation is achieved by attaching two central transmission line stubs to the conventional Wilkinson divider. It has simple structure and is suitable for distributed circuit implementation.
Role of hysteroscopy in the detection of endometrial pathologies in women presenting with postmenopausal bleeding and thickened endometrium

The goal of this study was to define the diagnostic value of hysteroscopy in evaluating uterine cavity compared to endometrial biopsy in women presenting with postmenopausal bleeding and thick endometrial mucosa with particular attention to endometrial hyperplasia and carcinoma. Eighty-three consecutive women presenting with postmenopausal bleeding and endometrial thickness of 5 mm or more measured by transvaginal ultrasound (TVU) were enrolled in a prospective study between May 2008 and July 2010. They underwent diagnostic hysteroscopy and endometrial biopsy. Hysteroscopic data was compared with the final diagnosis established by histological examination. The women’s mean age was 61.2 ± 5.2 years (range 44–80). The most frequent endometrial lesion was endometrial polyps (31.1%). Hyperplastic endometrium was confirmed in 23 (27.8%), only 13 cases were suspected by the hysteroscope. Out of the 14 (16.9%) proven cases of endometrial cancer, only half of the cases were suspected. In benign endometrial lesions, the sensitivity of the hysteroscopic view was 94.7%, specificity was 97.8%, positive (PPV) and negative (NPV) predictive values were 97.3 and 95.7%, respectively. On the other hand, hysteroscopy demonstrated an overall sensitivity, specificity, PPV, and NPV of 56.5, 91.6, 72.2, and 84.6%, respectively, in endometrial hyperplasia, whereas the same parameters for endometrial cancer were 50, 94.2, 63.6, and 90.2%. Hysteroscopy can be used as the first line diagnostic tool for evaluating the benign endometrial lesions, such as endometrial polyp and submucosal myoma, nonetheless hysteroscopy has poor validity for excluding endometrial hyperplasia and cancer in women presenting with the postmenopausal bleeding and thick endometrium.