nils-herrmann/clean_scirepeval huggingface dataset:
The phenotype of migraine with unilateral cranial autonomic symptoms documents increased peripheral and central trigeminal sensitization. A case series of 757 patients
Venue: Cephalalgia an international journal of headache

Migraine with unilateral cranial autonomic symptoms (UAS) is a putative migraine endophenotype with convincing response to trigeminal targeted treatments that still needs a thorough characterization.  The objective of this article is to carefully investigate the clinical phenotype of migraine with UAS in a large group of patients for more accurate migraine diagnoses, improved clinical management, and better outcome prediction.  We studied 757 consecutive episodic and chronic migraineurs in a tertiary headache clinic with face to face interviews, detailing in depth their lifestyle, sociodemographic and headache characteristics.  Migraineurs with UAS (37.4% differed from the general migraine population with respect to longer attack duration (OR 2.47, p 0.02, having >72 hour long attacks) more strictly unilateral (OR 3.18, p 0.001) and severe headache (OR 1.72, p 0.011) more frequent allodynia (OR 3.03, p 0.001) and photophobia (OR 1.87, p 0.019) Conclusions Migraine patients with UAS are characterized not only by symptoms due to intense peripheral trigeminal activation but also to central sensitization. Our study broadens the knowledge on the clinical and phenotypic characteristics of migraine with UAS, suggests pathophysiological implications, and supports the need for future prospective clinical studies.
The impact of regular lifestyle behavior in migraine: a prevalence case referent study
Venue: Journal of Neurology

Regular lifestyle behaviors (RLBs) of sleep, exercise, mealtime pattern and hydration status independently affect migraine occurrence. We aimed herein to evaluate the differences in migraine occurrence among participants who do and do not maintain the RLB triumvirate. Cases of chronic migraine (CM) and referents of episodic migraine (EM) =aged 15 years with charts regularly documenting RLB notes were continuously enrolled from a retrospective case referent cohort study performed on electronic chart review from January 1, 2014 to January 1, 2015 at the Stanford Headache and Facial Pain Program. Association between RLB prevalence and migraine occurrence was studied. 175 CM and 175 EM patients were enrolled (mean age 44.4 years, 22 males) Migraine was diagnosed according to the ICHD 3 beta criteria, and was confirmed by a Headache Specialist attending the Clinic. The CM cohort (22 exhibited less RLB than the EM cohort (69 with crude odds ratio of 0.13 (95 confidence interval or CI 0.08 0.21) The adjusted odds ratio and adjusted relative risk between RLB+ Meds+ (those taking medication) and CM were 0.67 (95 CI 0.32 1.40) and 0.74 (95 CI 0.43 1.28) indicating no significant effect modification. Engaging in regular lifestyle behavior helps quell chronic migraine.
Self reported neck and shoulder pain in adolescents is associated with episodic and chronic migraine
Venue: Cephalalgia an international journal of headache

The aim of this study was to verify the association between self reported neck/shoulder pain and migraine and to compare findings of chronic and episodic migraine in adolescents.  In this cross sectional study, 601 secondary school students filled in questionnaires about headache appearance, type and frequency, neck and shoulder pain and lifestyle factors.  The adjusted strength of the association between reported neck and shoulder pain and migraine (assessed in multinomial regression models) increased with the frequency of migraine: less than once a week (OR 1.40; 95% CI (0.85 2.30) weekly (OR 2.14; 95% CI (1.42 3.24) and at least 15 days/month (OR 7.27; 95% CI (3.42 15.44)  In adolescents the association between self reported neck and shoulder pain and migraine is most pronounced in migraine with a high attack frequency.
Lifestyle Factors and Migraine in Childhood
Venue: Current Pain and Headache Reports

Migraine is one of the most common pain symptoms in children. Indeed, a high percentage of adult migraine patients report to have suffered from recurrent headache during the childhood. In particular, children could experience the so called childhood periodic syndromes (such as cyclic vomiting, abdominal migraine, and benign paroxysmal vertigo) that have been usually considered precursors of migraine or they could develop overt migraine headaches. However, typical cohort of migraine symptoms could be absent and children could not achieve all clinical features necessary for a migraine attack diagnosis according to classification criteria. Nevertheless, migraine is characterized also in childhood by a significant negative impact on the quality of life and a high risk of developing chronic and persistent headache in adulthood. Several studies have emphasized the role of different risk factors for migraine in children. Among these, obesity and overweight, particular food or the regular consumption of alcohol or caffeine, dysfunctional family situation, low level of physical activity, physical or emotional abuse, bullying by peers, unfair treatment in school, and insufficient leisure time seem to be strictly related to migraine onset or progression. Consequently, both identification and avoidance of triggers seem to be mandatory in children with migraine and could represent an alternative approach to the treatment of migraine abstaining from pharmacologic therapies.
Rice identification at the early stage of the rice growth season with single fine quad Radarsat 2 data
Venue: Remote Sensing

The objective of the study was to determine whether rice identification and acreage estimation accuracy at the early stage of the rice growth season using single fine quad Radarsat 2 images could meet the demand of rice monitoring. The Leizhou site (20deg52'N, 110deg05'E) is located in Guangdong Province in southern China and is dominated by rice paddies. There was a lack of optical data acquisitions during certain years. There are two rice growth seasons per year. Multitemporal Radarsat 2 products were acquired in the early rice growth season of 2014. First, multi temporal backscattering coefficients and polarimetric parameters based on H/A/Alpha and Yamaguchi polarimetric decomposition theories were extracted and analyzed to distinguish between rice paddies and other typical land cover types, which could help select the optimal rice growth stage and image characteristics for early season classification. Second, an object oriented technique was applied to time series backscattering coefficient images (HH, HV, VH, VV) H/A/Alpha images (Entropy, Anistropy and Alpha) and Yamaguchi images (volume, double bounce, surface and helix) Based on the segmentation images, the supervised Bayes, KNN, SVM and Decision tree classifier were used to identify rice. The results indicated that in flat area, 1) Backscatter images and Yamaguchi images were better than H/A/Alpha images in the rice identification application, and 2) At the early rice growth season, the 0430 Yamaguchi image combined with the objectoriented decision tree algorithm were capable of delivering highly accurate maps of rice (0.9236) while the 0524 backscatter image combined with the object oriented decision tree algorithm could acquire the highest classification accuracy (0.9278) at the end of the rice growth season. Jointing stage is considered to be appropriate for rice identification at the early season. The study demonstrated that it was possible to identify rice at the early season with single quad C SAR imagery.
Analysis of Multitemporal Satellite Image Pattern Recognition using Haralick Method to Identify Rice Plant Growth Phase

This study focused on the manipulation of multitemporal satellite image data namely Landsat 8 of rice plant growth phase identification to determine pattern group or category based on the features possessed by the image pattern based on the growth phase of rice plant in which the initial process of pattern recognition was through the feature extraction on the image by using gray level co occurrence matrix (GLCM) and Haralick methods which were then used as inputs of pattern formation. Feature extraction was the first step in determining the parameters as the interpretation of image texture analysis to determine the pattern contained in the image. Based on the analysis results of the comparison of each parameter value in this study, it was found that the results of analysis using angle parameter with the identification of all angles (All) in the feature extraction and the parameter of color intensity, namely Red, Green and Blue (RGB) could be used for object pattern recognition in multitemporal image such as Landsat, the use of these parameters was to obtain more varied information, so that the object pattern information in the image was easier to interpret. Pattern recognition is to determine the pattern group or category based on the features possessed by the pattern, the purpose is to distinguish between one object with another object based on the pattern owned by the object in the image. Satellite image is the image data generated from remote sensing technology, satellite image extraction process is needed to interpret the pattern of an object in an image, this is performed so that information from the object being observed can be estimated accurately. Information generated from satellite image data is highly dependent on the image processing that is performed well either by using good model or method to get the results that have a high degree of accuracy.
Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness
Venue: Scientific Reports

Signaling through the Ror2 receptor tyrosine kinase promotes invadopodia formation for tumor invasion. Here, we identify intraflagellar transport 20 (IFT20) as a new target of this signaling in tumors that lack primary cilia, and find that IFT20 mediates the ability of Ror2 signaling to induce the invasiveness of these tumors. We also find that IFT20 regulates the nucleation of Golgi derived microtubules by affecting the GM130 AKAP450 complex, which promotes Golgi ribbon formation in achieving polarized secretion for cell migration and invasion. Furthermore, IFT20 promotes the efficiency of transport through the Golgi complex. These findings shed new insights into how Ror2 signaling promotes tumor invasiveness, and also advance the understanding of how Golgi structure and transport can be regulated.
Updosing of Nonsedating Anti histamines in Recalcitrant Chronic Urticaria
Venue: Indian journal of dermatology

Chronic urticaria (CU) is a persistent, debiliating condition that causes severe impairment on the quality of life (QoL) of patient by interrupting work productivity. Current guidelines recommend second generation (nonsedating) anti histamines for the treatment for all forms of urticaria. In patients who do not respond adequately to conventional doses of anti histamines, it is recommended to increase the dose to up to four times to obtain control. But there are only few controlled studies that have assessed the efficacy and safety of nonsedating anti histamines. Though sedating histamines are frequently used as an add on therapy in severe cases, they have a negative impact on QoL by compromising sleep and performance. The use of other suggested therapeutic options (omalizumab, cyclosporine A, montelukast and dapsone) is also limited by paucity of data on their efficacy and adverse effect profile. Second generation anti histamines which are relatively safer require more proven data to support their judicious use to improve disease in patients with CU.
Effect of body length, body weight, and sport achievement on points scored by male judo athletes in the Olympic tournament 2012

High technical preparation is important for judoka. The aim of this study is knowledge about the association between effects of relative body height, weight category and sport achievement on points scored by judo athletes who use different techniques during their fights.  The study is based on an analysis of video recordings and a notational analysis of the Olympic men's tournament 2012 in London. Altogether 252 fights were analysed with the judo specific version (4.5.2) of the video analyse system utilius vs(r) Fights of 28 medallists and 28 judo players ranked 5th to 7th were selected for detailed expert video and notational analysis. Three independent values were analysed: relative body height; weight categories combined; level of sport achievement. Dependent value in MANOVA was the efficiency quotient of all relative numbers of own score points collected by each competitor during his fights. Biomechanical classification of techniques was employed. Descriptive statistics were counted and compared between all levels for each factor (statistical significance p<0.05)  A downward tendency of the relative number of all scored points per time (EQ) across consecutive height categories was noticed, but any of pair wise difference between EQ was significant. EQ depended on weight category. Physical lever sub group techniques were distinguished by higher efficiency when performed by short participants to tall participants, who in place of better scored using "C" techniques (couple of forces throws type)  The top judo athletes adapt techniques to their physique and motor preparation. So, coaches of top athletes and also on lower competitive level could use revealed statistical regularities for their individual development.
The course of the backward attacks in judo, after the first change of the rules, based on The World Championship from 2009 and 2011 in over 100 kg category. A pilot study

Pujszo Malgorzata, Pujszo Ryszard, Stepniak Robert, Adam Marek. The course of the backward attacks in judo, after the first change of the rules, based on The World Championship from 2009 and 2011 in over 100 kg category. A pilot study. Journal of Education, Health and Sport. 2016;6(6):223 234. eISSN 2391 8306. DOI http:/dx.doi.org/10.5281/zenodo.55180 http:/ojs.ukw.edu.pl/index.php/johs/article/view/3566
True random number generator using current difference based on a fractional stochastic model in 40 nm embedded ReRAM
Venue: 2016 IEEE International Electron Devices Meeting (IEDM)

We have successfully developed a robust ReRAM true random number generator, using current difference, that does not require extra chip area. True random numbers are guaranteed by the current difference in the 1/fb noise generated by Brownian motion, as tested using a fractional SDE model and verified using 1/fb noise distribution. A highly reliable 40 nm ReRAM true random number generator circuit was designed and passed NIST SP800 22 randomness tests across all combinations of voltage (VDD 0.1 V) and temperature 40 to 125 degC) The random number throughput achieves 32 Mbps with a low power consumption of 0.04 nJ/bit.
Self rated Health and Internet Addiction in Iranian Medical Sciences Students; Prevalence, Risk Factors and Complications
Venue: International journal of biomedical science IJBS

Self rated health is a brief measure for general health. It is a comprehensive and sensitive index for prediction of health in future. Due to the high internet usage in medical students, the current study designed to evaluate the self rated health (SRH) in relationship with internet addiction risk factors in medical students.  This cross sectional study conducted on 254 students of Qom University of Medical Sciences 2014. Participants selected by two stage sampling method including stratified and simple random sampling. The Young's questionnaire of internet addiction and SRH question used for data collection. Chi square, t test, and logistic regression used in data analysis.  More than 79.9% of students reported their general health good and very good. The student's mean score of general health was higher than the average. In addition, the prevalence of internet addiction was 28.7% An inverse significant correlation observed between SRH and internet addiction score (r= 0.198, p=0.002) Using internet for Entertainment, using private Email and chat rooms were the most important predictors of affecting to internet addiction. Moreover, internet addiction is the most predictors of SRH and increased the odds of bad SRH.  The good SRH of medical students was higher than general population but in health faculty' students were lower than others. Due to the effect of internet addiction on SRH and increasing trend of internet use in medical students, as well as low age of participants, attention to psychological aspects and the job expectancy in future, can effective on increasing the good SRH.
Travel Mode Detection Exploiting Cellular Network Data

There has been growing interest in exploiting cellular network data for transportation planning purposes in recent years. In this paper, we utilize these data for determining mode of travel in the city of Shiraz, Iran. Cellular data records including location updates in 5minute time intervals of 300,000 users from the city of Shiraz has been collected for 40 hours in three consecutive days in a cooperation with the major telecommunications service provider of the country. Depending on the density of mobile BTS's in different zones of the city, the user location can be located within an average of 200 meters. Considering data filtering and smoothing, data preparation and converting them to comprehensible traces is a large portion of the work. A novel approach to identify stay locations is proposed and implemented in this paper.  Destination matrices are then created based on trips detected, which shows acceptable consistency with current O D matrices. Finally, Travel times for all trips of a user is estimated as the main attribute for clustering. Trips between same origin and destination zones are combined together in a group. Using K means algorithm, records within each group are the portioned in two or three clusters, based on their travel speeds. Each cluster represents a certain mode of travel; walking, public transportation or driving a private car.
A study of organizational versus individual needs related to recruitment, deployment and promotion of doctors working in the government health system in Odisha state, India
Venue: Human Resources for Health

BackgroundAn effective health workforce is essential for achieving health related new Sustainable Development Goals. Odisha, one of the states in India with low health indicators, faces challenges in recruiting and retaining health staff in the public sector, especially doctors. Recruitment, deployment and career progression play an important role in attracting and retaining doctors. We examined the policies on recruitment, deployment and promotion for doctors in the state and how these policies were perceived to be implemented.MethodsWe undertook document review and four key informant interviews with senior state level officials to delineate the policies for recruitment, deployment and promotion. We conducted 90 in depth interviews, 86 with doctors from six districts and four at the state level to explore the perceptions of doctors about these policies.ResultsDespite the efforts by the Government of Odisha through regular recruitments, a quarter of the posts of doctors was vacant across all institutional levels in the state. The majority of doctors interviewed were unaware of existing government rules for placement, transfer and promotion. In addition, there were no explicit rules followed in placement and transfer. More than half (57% of the doctors interviewed from well accessible areas had never worked in the identified hard to reach areas in spite of having regulatory and incentive mechanisms. The average length of service before the first promotion was 26 3.5) years. The doctors expressed satisfaction with the recruitment process. They stated concerns over delayed first promotion, non transparent deployment policies and ineffective incentive system. Almost all doctors suggested having time bound and transparent policies.ConclusionsAdequate and appropriate deployment of doctors is a challenge for the government as it has to align the individual aspirations of employees with organizational needs. Explicit rules for human resource management coupled with transparency in implementation can improve governance and build trust among doctors which would encourage them to work in the public sector.
A review of the literature on citation impact indicators
Venue: J. Informetrics

Citation impact indicators nowadays play an important role in research evaluation, and consequently these indicators have received a lot of attention in the bibliometric and scientometric literature. This paper provides an in depth review of the literature on citation impact indicators. First, an overview is given of the literature on bibliographic databases that can be used to calculate citation impact indicators (Web of Science, Scopus, and Google Scholar) Next, selected topics in the literature on citation impact indicators are reviewed in detail. The first topic is the selection of publications and citations to be included in the calculation of citation impact indicators. The second topic is the normalization of citation impact indicators, in particular normalization for field differences. Counting methods for dealing with co authored publications are the third topic, and citation impact indicators for journals are the last topic. The paper concludes by offering some recommendations for future research.
Relative Citation Ratio (RCR) A New Metric That Uses Citation Rates to Measure Influence at the Article Level
Venue: PLoS biology

Despite their recognized limitations, bibliometric assessments of scientific productivity have been widely adopted. We describe here an improved method to quantify the influence of a research article by making novel use of its co citation network to field normalize the number of citations it has received. Article citation rates are divided by an expected citation rate that is derived from performance of articles in the same field and benchmarked to a peer comparison group. The resulting Relative Citation Ratio is article level and field independent and provides an alternative to the invalid practice of using journal impact factors to identify influential papers. To illustrate one application of our method, we analyzed 88,835 articles published between 2003 and 2010 and found that the National Institutes of Health awardees who authored those papers occupy relatively stable positions of influence across all disciplines. We demonstrate that the values generated by this method strongly correlate with the opinions of subject matter experts in biomedical research and suggest that the same approach should be generally applicable to articles published in all areas of science. A beta version of iCite, our web tool for calculating Relative Citation Ratios of articles listed in PubMed, is available at https:/icite.od.nih.gov.
Men Set Their Own Cites High: Gender and Self citation across Fields and over Time
Venue: ArXiv

How common is self citation in scholarly publication, and does the practice vary by gender? Using novel methods and a data set of 1.5 million research papers in the scholarly database JSTOR published between 1779 and 2011, the authors find that nearly 10 percent of references are self citations by a paper's authors. The findings also show that between 1779 and 2011, men cited their own papers 56 percent more than did women. In the last two decades of data, men self cited 70 percent more than women. Women are also more than 10 percentage points more likely than men to not cite their own previous work at all. While these patterns could result from differences in the number of papers that men and women authors have published rather than gender specific patterns of self citation behavior, this gender gap in self citation rates has remained stable over the last 50 years, despite increased representation of women in academia. The authors break down self citation patterns by academic field and number of authors and comment on potential mechanisms behind these observations. These findings have important implications for scholarly visibility and cumulative advantage in academic careers.