nils-herrmann/clean_scirepeval huggingface dataset:
Working (and studying) day and night: Heterogeneous effects of working on the academic performance of full time and part time students
Year: 2014

A growing number of students are working while in college and to a greater extent. Using nationally representative data from the 1997 National Longitudinal Survey of Youth, I analyze the effect of working on grades and credit completion for undergraduate students in the United States. Strategies to identify the causal relationship between working and academic performance include student level fixed effects to control for permanent, unobserved characteristics that may affect both work and study intensity, and system GMM models to account for potentially endogenous relationships between working and academic performance that vary over time. I examine the consequences of working for heterogeneous subgroups, with a particular focus on differences between full time and part time students. I find no evidence that students' grades are harmed by marginal work hours, but that full time students complete fewer credits per term when increasing work.
Core Collapse Supernova Explosion Simulations: The Path to and Necessity for 3D Models
Year: 2009

We discuss the current status of progress towards unraveling the mystery of the core collapse supernova mechanism. We advance the notion that the fundamental impediment to progress in supernova theory over several decades has been the lack of access to codes and computers with which to properly simulate the collapse phenomenon in 3D. There may be qualitative differences between 1D, 2D, and 3D models. Since 3D capabilities have only recently become a viable hope, this could explain theory's slow march since the 1960's towards demonstrating a robust mechanism of explosion. It has been shown that one dimensional, spherical explosions require a set of rare progenitor characteristics. Moreover, when they explode they are generically underenergetic. Two dimensional simulations are still ambiguous and problematic, though they manifest some of the multi dimensional effects shown to enable explosion (Murphy Burrows 2008) In this contribution, we summarize the recent results from the various leading groups still.
ODRE Workshop: Probabilistic Dynamic Hard Real Time Scheduling in HPC
Venue: 2020 IEEE 23rd International Symposium on Real Time Distributed Computing (ISORC)
Year: 2020

Industry 4.0 is changing fundamentally the way data is collected, stored and analyzed in industrial processes. While this change enables novel application such as flexible manufacturing of highly customized products, the real time control of these processes, however, has not yet realized its full potential. We believe that modern virtualization techniques, specifically application containers, present a unique opportunity to decouple control functionality from associated hardware. Through it, we can fully realize the potential for highly distributed and transferable industrial processes even with real time constraints arising from time critical sub processes. In this paper, we present a specifically developed orchestration tool to manage the challenges and opportunities of shifting industrial control software from dedicated hardware to bare metal servers or (edge) cloud computing platforms. Using off the shelf technology, the proposed tool can manage the execution of containerized applications on shared resources without compromising hard real time execution determinism. Through first experimental results, we confirm the viability and analyzed the behavior of resource shared systems with strict real time requirements. We then describe experiments set out to deliver expected results and gather performance, application scope and limits of the presented approach.
Asma y Salud Mental en mujeres: Estudio en Centros de Atencion Primaria
Year: 2018

Asthma is a chronic multifactorial disease with a fast growing global prevalence. Its association with psychological factors is not completely elucidated.  To analyze features associated with not well controlled asthma and to test the association of psychological factors with asthma control criteria.  Cross sectional study that analyzed data from clinical records of asthmatic women under care in the Adult Respiratory Diseases Programs (ERA, in Spanish) and the Mental Health Program of Family Care Health Centers in the city of Arica. According to the asthma control score, patients were classified as having adequate control or not.  A total of 60 women were analyzed and 62% had a not well controlled asthma. Factors associated with not well controlled asthma were moderate depression (Odds ratio (OR) 6.84; p< 0.01) emotional lability (OR=0.14; p=0.02) and domestic violence (OR=5.75; p=0.05) The psychological factors associated with asthma control criteria were fear, emotional instability, domestic violence, sleep disorders, mixed anxiety depressive disorders, and moderate depression.  Psychological factors and violence exposure were consistently associated with asthma control.
Risk ranking of pathogens in ready to eat unprocessed foods of non animal origin (FoNAO) in the EU: initial evaluation using outbreak data (2007 2011)
Venue: International journal of food microbiology
Year: 2015

Foods of non animal origin (FoNAO) are consumed in a variety of forms, being a major component of almost all meals. These food types have the potential to be associated with large outbreaks as seen in 2011 associated with VTEC O104. In order to identify and rank specific food/pathogen combinations most often linked to human cases originating from FoNAO in the EU, a semi quantitative model was developed using seven criteria: strength of associations between food and pathogen based on the foodborne outbreak data from EU Zoonoses Monitoring (2007 2011) incidence of illness, burden of disease, dose response relationship, consumption, prevalence of contamination and pathogen growth potential during shelf life. The top ranking food/pathogen combination was Salmonella spp. and leafy greens eaten raw followed by (in equal rank) Salmonella spp. and bulb and stem vegetables, Salmonella spp. and tomatoes, Salmonella spp. and melons, and pathogenic Escherichia coli and fresh pods, legumes or grains. Despite the inherent assumptions and limitations, this risk model is considered a tool for risk managers, as it allows ranking of food/pathogen combinations most often linked to foodborne human cases originating from FoNAO in the EU. Efforts to collect additional data even in the absence of reported outbreaks as well as to enhance the quality of the EU specific data, which was used as input for all the model criteria, will allow the improvement of the model outputs. Furthermore, it is recommended that harmonised terminology be applied to the categorisation of foods collected for different reasons, e.g. monitoring, surveillance, outbreak investigation and consumption. In addition, to assist future microbiological risk assessments, consideration should be given to the collection of additional information on how food has been processed, stored and prepared as part of the above data collection exercises.
Maxillary sinus floor elevation with simultaneous implant placement without grafting materials: a systematic review and meta analysis.
Venue: International journal of oral and maxillofacial surgery
Year: 2017

The present study aimed to conduct a systematic review and meta analysis on the effectiveness of maxillary sinus floor elevation and immediate implant installation without the use of grafting material. An electronic search without date or language restriction was performed in PubMed/MEDLINE, Cochrane Central Register of Controlled Trials, Web of Science, Embase, and the grey literature, to May 2016.  The search and selection process yielded 18 studies, published between 2005 and 2016. A meta analysis was conducted only for experimental studies comparing sinus floor elevation with and without grafting material; results were expressed as the standardized mean difference (SMD) or risk ratio (RR) with the 95% confidence interval (CI) An average gain in bone height of 4.7mm over an average 39.4 month period was observed in the sinus elevated without grafting material. Regarding implants, there was a cumulative average survival rate of 97% On meta analysis, bone gain (P=0.98) and implant survival (P=0.13) did not differ significantly between sinuses lifted with or without grafting material, with a SMD of 0.01 (95% CI 0.42 to 0.44) and with a RR of 0.55 (95% CI 0.26 to 1.19) respectively.
Shuttling a single charge across a one dimensional array of silicon quantum dots
Venue: Nature Communications
Year: 2019

Significant advances have been made towards fault tolerant operation of silicon spin qubits, with single qubit fidelities exceeding 99.9% several demonstrations of two qubit gates based on exchange coupling, and the achievement of coherent single spin photon coupling. Coupling arbitrary pairs of spatially separated qubits in a quantum register poses a significant challenge as most qubit systems are constrained to two dimensions with nearest neighbor connectivity. For spins in silicon, new methods for quantum state transfer should be developed to achieve connectivity beyond nearest neighbor exchange. Here we demonstrate shuttling of a single electron across a linear array of nine series coupled silicon quantum dots in ~50 ns via a series of pairwise interdot charge transfers. By constructing more complex pulse sequences we perform parallel shuttling of two and three electrons at a time through the array. These experiments demonstrate a scalable approach to physically transporting single electrons across large silicon quantum dot arrays.As quantum computers grow in complexity the challenge of moving information between physically separated qubits becomes more pressing. Mills et al. demonstrate transfer of single electrons across an array of nine silicon quantum dots three orders of magnitude faster than spin qubit decoherence times.
Losing a minute every two years: SRG X ray view on the rapidly accelerating X ray pulsar SXP1323
Year: 2021

SXP 1323 is a peculiar high mass X ray binary located in the Small Magellanic Cloud, renowned for its rapid spin up. We investigate for the first time broadband X ray properties of SXP1323, as observed by the Mikhail Pavlinsky ART XC and eRosita telescopes on board the SRG observatory. Using ART XC and eRosita, data we produced first broadband 1 20 keV X ray spectrum and estimated pulsed fraction above 8 keV. With the addition of archival XMM Newton observations we traced evolution of the SXP 1323 spin period over the last five years and found that after 2016 the source switched to a linear spin up with rate of 29.9 s yr$ 1} Broadband X ray spectrum is typical for accreting X ray pulsars, with steep powerlaw index \Gamma$ 0.15) and exponential cutoff energy of 5.1 keV. No significant difference between spectra obtained in states with and without pulsations were found.
Plant Derived Bioactives in Oral Mucosal Lesions: A Key Emphasis to Curcumin, Lycopene, Chamomile, Aloe vera, Green Tea and Coffee Properties
Venue: Biomolecules
Year: 2019

Oral mucosal lesions have many etiologies, including viral or bacterial infections, local trauma or irritation, systemic disorders, and even excessive alcohol and tobacco consumption. Folk knowledge on medicinal plants and phytochemicals in the treatment of oral mucosal lesions has gained special attention among the scientific community. Thus, this review aims to provide a brief overview on the traditional knowledge of plants in the treatment of oral mucosal lesions. This review was carried out consulting reports between 2008 and 2018 of PubMed (Medline) Web of Science, Embase, Scopus, Cochrane Database, Science Direct, and Google Scholar. The chosen keywords were plant, phytochemical, oral mucosa, leukoplakia, oral lichen planus and oral health. A special emphasis was given to certain plants (e.g. chamomile, Aloe vera, green tea, and coffea) and plant derived bioactives (e.g. curcumin, lycopene) with anti oral mucosal lesion activity. Finally, preclinical (in vitro and in vivo) and clinical studies examining both the safety and efficacy of medicinal plants and their derived phytochemicals were also carefully addressed.
Effect of yoga relaxation techniques on performance of digit letter substitution task by teenagers
Venue: International journal of yoga
Year: 2009

Memory and selective attention are important skills for academic and professional performance. Techniques to improve these skills are not taught either in education or company training courses. Any system which can systematically improve these skills will be of value in schools, universities, and workplaces. To investigate possible improvements in memory and selective attention, as measured by the Digit Letter Substitution Task (DLST) due to practice of Cyclic Meditation (CM) a yoga relaxation technique, as compared to Supine Rest (SR)  Subjects consisted of 253 school students, 156 boys, 97 girls, in the age range 13 16 years, who were attending a 10 day yoga training course during summer vacation. The selected subjects had English as their medium of instruction in school and they acted as their own controls. They were allocated to two groups, and tested on the DLST, immediately before and after 22.5 minutes practice of CM on one day, and immediately before and after an equal period of SR on the other day. The first group performed CM on day 9 and SR on day 10. For the second group, the order was reversed.  Within each group pre post test differences were significant for both the relaxation techniques. The magnitude of net score improvement was greater after SR (7.85% compared to CM (3.95% Significance levels were P 0.4 x 10 9for SR and P 0.1 x 10 3 for CM. The number of wrong attempts also increased significantly on both interventions, even after removing two outlier data points on day 1 in the SR group.  Both CM and SR lead to improvement in performance on the DLST. However, these relaxation techniques lead to more wrong cancellation errors.
Literature survey on the relationships between energy, environment and economic growth
Year: 2017

The aim of this study is to exhibit an exhaustive survey which is related to the great flight of the literature of energy environment growth nexus at the individual and regional scale studies covering the period from 1978 to 2014. The survey takes into consideration the sample (country, region, etc. periods covering, econometric strategies, and conclusions. Our survey is based on the causality direction among (i) the energy use variables (electricity, nuclear, renewable and non renewable) and output growth; (ii) between economic growth and environment; and between the three variables at the same time. Globally, these surveys provide paradoxical and not conclusive results which energy consumption can boost economic growth through the productivity enhancement and it can boost also the environmental damages through the enhancement of pollutant emissions. Our survey sheds more the lights on the energy environment growth literature by giving an extensive listing (1978 2014) of these causal linkages among the energy use variables, environment and economic growth for both individual and collective cases. There is a unanimous consensus about the importance of dealing with such dynamic relationship, which is seems to be a cornerstone element in setting any ambition strategies (energy, ecological and economics)
A Study on the Appropriateness of Health Insurance Fee in Main Nursing Practices
Year: 2017

This study was to present improvement strategy and the problems of the nursing fee in national health insurance system.  A total of 23 nursing activities performed by nurses were selected. Data were collected the relative value score and criteria of the Health Insurance Review Assessment Agency. Sixty clinical nursing experts panels were composed and nursing time surveyed self reported method. The actual fee was calculated through the nursing time, relative value score and actual labor costs. Nextly, the labor costs analyzed was compared with that in the national health insurance.  Although the practices were mainly performed by the nurse, other occupations have been recorded as main practitioners and the time of the nursing activity is partially improperly reflected. Additionally, although the nurse practiced mainly in glucose (semi quantitative) test, it was confirmed that the principal practitioner was described as a clinical pathologist. The the labor cost gap was estimated that is 9.3 times (median) and 11.9 times (average) in this analysis.  This study suggests that it is necessary to legislate a policy that can improve the quality of clinical nursing by reinforcing the appropriateness and improving nursing fee through reflection of the actual time spent for nursing care.
Domain Specific Language Model Pretraining for Biomedical Natural Language Processing
Venue: ArXiv
Year: 2020

Pretraining large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. However, most pretraining efforts focus on general domain corpora, such as newswire and Web. A prevailing assumption is that even domain specific pretraining can benefit by starting from general domain language models. In this paper, we challenge this assumption by showing that for domains with abundant unlabeled text, such as biomedicine, pretraining language models from scratch results in substantial gains over continual pretraining of general domain language models. To facilitate this investigation, we compile a comprehensive biomedical NLP benchmark from publicly available datasets. Our experiments show that domain specific pretraining serves as a solid foundation for a wide range of biomedical NLP tasks, leading to new state of the art results across the board. Further, in conducting a thorough evaluation of modeling choices, both for pretraining and task specific fine tuning, we discover that some common practices are unnecessary with BERT models, such as using complex tagging schemes in named entity recognition (NER) To help accelerate research in biomedical NLP, we have released our state of the art pretrained and task specific models for the community, and created a leaderboard featuring our BLURB benchmark (short for Biomedical Language Understanding Reasoning Benchmark) at this https URL.
L'outil DISC ameliore la communication et les resultats de la rehabilitation respiratoire une approche comportementale adaptee
Year: 2019

Resume Introduction La competence relationnelle est essentielle pour un soignant, notamment en rehabilitation respiratoire (RR) La prise en compte du profil comportemental des patients permettrait d'optimiser leur prise en charge et les resultats de la RR. Methodes Huit cent trente deux patients consecutifs presentant une maladie respiratoire chronique ont ete pris en charge en RR a domicile pendant huit semaines. Une evaluation de la tolerance a l'effort dont le test de stepper (TS6) de l'humeur (HAD) et de la qualite de vie (VSRQ, MRF28) etait realisee en debut et en fin de RR. Le profil du patient etait defini pour mise en place d'une approche comportementale en debut de RR pour 690 patients par l'outil DISC identifiant quatre profils dominant, influent, stable et conforme, les 142 autres patients composaient le groupe temoin. Resultats Subjectivement, l'alliance therapeutique etait obtenue plus facilement avec l'approche comportementale. Le groupe Stable etait plus jeune (60,7 12 ans) et a predominance feminine (52,8 tandis que le groupe Conforme etait plus age (67,5 10,6 ans) et a predominance masculine (85,5 Il n'y avait pas de difference a l'evaluation initiale pour la tolerance a l'effort, l'humeur et la qualite de vie, et globalement tous les patients amelioraient ces parametres a l'issue du stage de RR. Le pourcentage de repondeurs au TS6 et au VSRQ etait superieur de 7,5 et 5,3 en cas d'approche comportementale. Pour les non repondeurs au TS6 et au VSRQ, seuls les patients ayant beneficie de cette approche amelioraient les autres parametres etudies, le groupe temoin ne les ameliorant pas. Conclusions L'approche comportementale par l'outil DISC permet d'ameliorer la relation patient soignant et d'obtenir de meilleurs resultats a l'issue d'un stage de RR.
The global financial crisis and its transmission to New Zealand an external balance sheet analysis
Year: 2008

Recent global events have underscored how instability in the international financial system can have a pervasive impact on the world economy. Starting in the middle of 2007, deteriorating credit quality in the US residential mortgage market served as the catalyst for a systemic financial crisis that has spread far beyond its original source, including to New Zealand. This article aims to shed light on the channels through which these global developments have affected the domestic financial system and real economy, principally by examining the scale and composition of the international assets and liabilities that comprise New Zealand's external balance sheet.
The SIGMORPHON 2020 Shared Task on Multilingual Grapheme to Phoneme Conversion
Venue: SIGMORPHON
Year: 2020

We describe the design and findings of the SIGMORPHON 2020 shared task on multilingual grapheme to phoneme conversion. Participants were asked to submit systems which take in a sequence of graphemes in a given language as input, then output a sequence of phonemes representing the pronunciation of that grapheme sequence. Nine teams submitted a total of 23 systems, at best achieving a 18% relative reduction in word error rate (macro averaged over languages) versus strong neural sequence to sequence baselines. To facilitate error analysis, we publicly release the complete outputs for all systems a first for the SIGMORPHON workshop.
Joint chromatic aberration correction and color fringe removal for variable aperture optical system
Venue: Applied Optics and Photonics China
Year: 2020

In this paper a novel way to correct chromatic aberration and remove the color fringe for variable aperture optical system considering the physical causes is proposed. From the perspective of the correlation between chromatic aberration and aperture, we explain why image fusion with different aperture parameters can effectively remove color fringing. Then we propose a specific color fringing detection and image fusion process. First, we detect the overexposed area of the large aperture image, perform grayscale grading on its neighborhood, extract the edges, and expand to obtain the candidate color fringing region. Then the two images are transformed to YCbCr color space to extract the purple fringe area by comparing the color information of the candidate color fringe area. Finally, we use the Cb and Cr channels of the small aperture image to correct the corresponding channels in the color fringing area and retain the brightness of the original image. Through image fusion, we can remove the color fringing caused by axial chromatic aberration and sensor crosstalk, and the residual lateral chromatic aberration can be corrected by simple image warp. Compared with the traditional blind restoration of color fringe regions, our method uses the hue information of small aperture image as a reference and no artifact is introduced. Experimental results show that both the subjective visual effects and objective evaluation have been significantly improved.