nils-herrmann/clean_scirepeval huggingface dataset:
Study on Current Limiting Characteristics of YBCO Thin Film Wire with Insulation Layer
Year: 2013

When applying superconducting wire to power machines, an investigation needs to be carried out on the characteristics of wire phase changes in connection with the insulating layer. This study examined trends in the increase of the wire`s resistance and the characteristics of its recovery from quenching by a current applied cycle at temperatures of 90 K, 180 K, and 250 K. The procedure was conducted based on the thickness and presence (or absence) of the insulating wire layers. To achieve this, YBCO thin film wires with the same critical temperatures were prepared with copper and stainless steel stabilizing layers. At levels one, three, and five with superior performance, polyimide pressure sensitive adhesive tape was attached to the wires at a very low temperature. The eight prepared test samples were wound around the linear frames. The wire`s voltage and current created from the phase change characteristics were measured at the wire`s prescribed temperature, using the four point probe method. The wire`s resistance and recovery characteristics were examined for each cycle at temperatures of 90 K, 180 K, and 250 K.
Improving WiFi Indoor Localization Through a Peer to Peer Architecture
Venue: TENCON 2018 2018 IEEE Region 10 Conference
Year: 2018

In this paper, we present an implementation of indoor localization, where the location of an object is determined without using the outdoor infrastructure of GPS. Various work involving different technologies exist, but the field remains open to a solution which can attain widespread use, in consideration of cost and infrastructure needed for deployment. For our implementation, we localized a common smartphone in an area with many WiFi signals. The main method was through RSS fingerprinting which was able to achieve a mean error of 2.5 m, aside from outliers that drove the error to 16 m. To improve this, Pedestrian Dead Reckoning (PDR) techniques were leveraged in addition to the WiFi system. Realtime testing showed that the WiFi+PDR system was able to achieve a 2.28 m mean localization error, while it reached 2.62 m for the WiFi only approach. Finally, a peer to peer approach was explored, in which neighboring smartphone peers were treated as pseudo access points to help eliminate the outlier errors that resulted from very similar RSS fingerprints. To measure distance between peers, an acoustic method was employed using 1 KHz sine waves. The Time Difference of Arrival (TDoA) was computed between peers, and the readings allowed for coarse estimates in 5 m bins. However, for very noisy environments, this frequency range may cause the acoustic system to be erroneous, possibly driving the error to as high as 18.01 m.
Towards polyglot adapters for the GraalVM
Venue: Programming
Year: 2019

Today, there are many different programming languages and even more software libraries and frameworks for various use cases. Polyglot runtime environments such as GraalVM allow developers to build and extend applications using multiple languages, which gives them a much broader choice in terms of frameworks and libraries available for reuse. Nonetheless, some usability problems remain, for example with regard to passing data from one language to another. GraalVM provides language interoperability through its polyglot API and allows objects and messages to be passed across languages. From a developer perspective, however, it is sometimes unclear how to pass non primitive objects from one language into a library or framework written in another language. Code from that other language may expect these objects to respond to a different set of messages, which they may not understand at all. In this paper, we present polyglot adapters, an early stage concept that helps to pass objects across different languages. We explain how these adapters can improve the polyglot programming experience and demonstrate this with a prototype for the GraalVM.
Evacua\c{c}~ao de Dados em Nuvens 'Opticas com base no SLA sob Cen\'ario de Desastre
Year: 2020

The popularization of cloud computing has provided the emergence of large volumes of data that are stored in Data Centers (DCs) These locations store data of different types, origins, and priorities for their owners. The DCs are subject to natural or man made attacks. The attacks are diverse and happen quickly after their detection. Therefore, this paper proposes two techniques to evacuate data from threatened DCs to those who are outside the risk zone of the attack. The first technique is based on the Service Level Agreement (SLA) of the data and the second one is based on the order that they arrive at the DC, using the algorithm LIFO. Both techniques performed similarly on the amount of evacuated data and at the time for evacuation. However, the SLA policy distributes the data on a priority scale according to the SLA, while the LIFO policy ranks data on the same scale's priority.  A popularizacao da computacao em nuvem tem proporcionado o surgimento de grandes volumes de dados que sao armazenadas em Data Centers (DCs) Esses locais concentram dados de diversos tipos, origens e prioridades para seus proprietarios. Os DCs estao sujeitos a ataques naturais ou causados pelo homem. Os ataques sao diversos e acontecem rapidamente apos a sua deteccao. Diante disso, este trabalho propoe duas tecnicas para evacuar dados de DCs ameacados para aqueles que encontram se fora da zona de risco do ataque. A primeira tecnica e baseada no acordo de nivel de servico (SLA) dos dados e a segunda baseia se na ordem que os mesmos chegam ao DC, usando o algoritmo LIFO. As duas tecnicas apresentaram desempenho semelhantes na quantidade de dados evacuados e no tempo para a evacuacao. No entanto, a politica SLA distribui os dados em ma escala de prioridades de acordo com o SLA, enquanto a politica LIFO classifica os dados em uma mesma prioridade da escala.
Protein Complexes and Proteolytic Activation of the Cell Wall Hydrolase RipA Regulate Septal Resolution in Mycobacteria
Venue: PLoS pathogens
Year: 2013

Peptidoglycan hydrolases are a double edged sword. They are required for normal cell division, but when dysregulated can become autolysins lethal to bacteria. How bacteria ensure that peptidoglycan hydrolases function only in the correct spatial and temporal context remains largely unknown. Here, we demonstrate that dysregulation converts the essential mycobacterial peptidoglycan hydrolase RipA to an autolysin that compromises cellular structural integrity. We find that mycobacteria control RipA activity through two interconnected levels of regulation in vivo protein interactions coordinate PG hydrolysis, while proteolysis is necessary for RipA enzymatic activity. Dysregulation of RipA protein complexes by treatment with a peptidoglycan synthase inhibitor leads to excessive RipA activity and impairment of correct morphology. Furthermore, expression of a RipA dominant negative mutant or of differentially processed RipA homologues reveals that RipA is produced as a zymogen, requiring proteolytic processing for activity. The amount of RipA processing differs between fast growing and slow growing mycobacteria and correlates with the requirement for peptidoglycan hydrolase activity in these species. Together, the complex picture of RipA regulation is a part of a growing paradigm for careful control of cell wall hydrolysis by bacteria during growth, and may represent a novel target for chemotherapy development.
Cross Subject EEG Based Emotion Recognition with Deep Domain Confusion
Venue: ICIRA
Year: 2019

At present, the method of emotion recognition based on Electroencephalogram (EEG) signals has received extensive attention. EEG signals have the characteristics of non linear, non stationary and low spatial resolution. There are great differences between EEG signals collected from different subjects as well as the same subjects from different experimental sessions. Therefore, it's difficult for traditional emotion recognition methods to achieve high recognition accuracy. To tackle this problem, this paper proposes a cross subject emotion recognition method based on convolutional neural network (CNN) and deep domain confusion (DDC) Firstly, the Electrodes frequency Distribution Maps (EFDMs) is constructed from EEG signals, and the residual blocks based deep CNN is used to automatically extract the features related emotion recognition from the EFDMs. Then, the difference of the feature distribution between source and target domain are narrowed by the DDC. Finally, the EEG emotion recognition task is realized with EFDMs and CNN. On SEED, we set up two experiments, the proposed method achieved an average accuracy of 90.59% and 82.16%/4.43% for mean accuracy and standard deviation under conventional and cross subject experimental protocols, respectively. Finally, this paper uses the gradient weighted class activation mapping (Grad CAM) to get a glimpse of what features the CNN has learned during the training from EFDMs, and obtained the conclusion that the high frequency EEG signals are more favorable for emotion recognition.
Effect of increasing heart rate and tidal volume on stroke volume variability in vascular surgery patients.
Venue: Journal of cardiothoracic and vascular anesthesia
Year: 2014

Because heart rate affects ventricular filling, the aim of the present study was to assess the effects of increasing heart rate and tidal volume on stroke volume variability to determine whether this dynamic index is heart rate dependent.  Prospective, randomized study. SETTING Single university hospital.  Eighteen vascular surgery patients having general anesthesia and endotracheal intubation with an arterial catheter connected to the Vigileo FloTrac system (Edwards Lifesciences, Irvine, CA) and a transesophageal atrial pacemaker (CardioComman Inc, Tampa, FL) INTERVENTION A 2 x 2 factorial study of changes in heart rate (80 bpm and 110 bpm) and tidal volume (6 mL/kg and 10 mL/kg) MEASUREMENTS AND MAIN RESULTS With tidal volume at 6 mL/kg, increasing heart rate from 80 mL/kg to 110 bpm caused stroke volume variability to increase from 12.2% 5.7% to 13.2% 5.3% (p<0.05) and with tidal volume at 10 mL/kg, increasing heart rate from 80 mL/kg to 110 bpm caused stroke volume variability to increase from 19.7% 7.9% to 22.0% 8.6% (p<0.05) In comparison, increasing tidal volume from 6 mL/kg to 10 mL/kg produced a significantly greater effect on stroke volume variability than increasing heart rate.  Stroke volume variability is sensitive to increases in heart rate in addition to tidal volume. Increasing heart rate caused stroke volume variability to increase significantly, although not to the same magnitude as increasing tidal volume. When using dynamic volume indices, clinicians should be aware of increases in heart rate, although its clinical impact may be relatively minor compared with changes in tidal volume.
Impact of Friction Stir Welding (FSW) Process Parameters on Thermal Modeling and Heat Generation of Aluminum Alloy Joints
Venue: Acta Metallurgica Sinica (English Letters)
Year: 2016

Friction stir welding (FSW) is a solid state joining process, where joint properties largely depend on the amount of heat generation during the welding process. The objective of this paper was to develop a numerical thermomechanical model for FSW of aluminum copper alloy AA2219 and analyze heat generation during the welding process. The thermomechanical model has been developed utilizing ANSYS(r) APDL. The model was verified by comparing simulated temperature profile of three different weld schedules (i.e. different combinations of weld parameters in real weld situations) from simulation with experimental results. Furthermore, the verified model was used to analyze the effect of different weld parameters on heat generation. Among all the weld parameters, the effect of rotational speed on heat generation is the highest.
The Effect of Activities Developed with Web 2.0 Tools Based on the 5E Learning Cycle Model on the Multiplication Achievement of 4th Graders
Year: 2020

This study examines the effects of activities developed with WEB 2.0 tools based on the 5E learning cycle model on the multiplication achievement of 4th graders. Nonequivalent control group pretest posttest quasi experimental design was employed in the study. Two of the three groups that were equivalent in terms of achievement were assigned as experimental group and one as control group. While multiplication activities developed with WEB 2.0 tools based on 5E learning cycle model were used in the math classes of the experiment 1 group, multiplication activities developed with WEB 2.0 tools were used in the math classes of the Experiment 2 group. The control group math class was taught according to the 4th grade math textbook approved by the Ministry of National Education. The study lasted 14 hours (three weeks) A semi structured interview form was used to determine student views on WEB 2.0 tools. According to the study results, there was no significant difference between the pretest achievement scores of the experiment 1, experiment 2 and control group students. A significant difference was determined between the pretest and posttest scores of experiment 1, experiment 2 and control group students in favor of the posttest. A significant difference was found between the posttest achievement scores between the groups. This difference was in favor of the experiment 1 group between experiment 1 and control group and in favor of the Experiment 2 group between experiment 2 and control group. There was no significant difference between the experiment 1 and experiment 2 groups.
Comparative genomic and transcriptomic analyses of Family 1 UDP glycosyltransferase in three Brassica species and Arabidopsis indicates stress responsive regulation
Venue: Scientific Reports
Year: 2018

In plants, UGTs (UDP glycosyltransferases) glycosylate various phytohormones and metabolites in response to biotic and abiotic stresses. Little is known about stress responsive glycosyltransferases in plants. Therefore, it is important to understand the genomic and transcriptomic portfolio of plants with regard to biotic and abiotic stresses. Here, we identified 140, 154, and 251 putative UGTs in Brassica rapa, Brassica oleracea, and Brassica napus, respectively, and clustered them into 14 major phylogenetic groups (A N) Fourteen major KEGG pathways and 24 biological processes were associated with the UGTs, highlighting them as unique modulators against environmental stimuli. Putative UGTs from B. rapa and B. oleracea showed a negative selection pressure and biased gene fractionation pattern during their evolution. Polyploidization increased the intron proportion and number of UGT containing introns among Brassica. The putative UGTs were preferentially expressed in developing tissues and at the senescence stage. Differential expression of up and down regulated UGTs in response to phytohormone treatments, pathogen responsiveness and abiotic stresses, inferred from microarray and RNA Seq data in Arabidopsis and Brassica broaden the glycosylation impact at the molecular level. This study identifies unique candidate UGTs for the manipulation of biotic and abiotic stress pathways in Brassica and Arabidopsis.
The Impact of the Shale Oil Revolution on U.S. Oil and Gasoline Prices
Venue: Review of Environmental Economics and Policy
Year: 2016

This article examines how the shale oil revolution has shaped the evolution of U.S. crude oil and gasoline prices. It puts the increased production of shale oil into historical perspective, highlights uncertainties about future shale oil production, and cautions against the view that the United States will become the next Saudi Arabia. It then reviews how the ban on U.S. crude oil exports, capacity constraints in refining and transporting crude oil, and the regional fragmentation of the global market for crude oil after 2010 have affected U.S. oil and gasoline prices. In particular, the article discusses the reasons for the persistent wedge between U.S. and global crude oil prices in recent years, explains why domestic oil trading at a discount has not lowered U.S. gasoline prices, and discusses the role of shale oil in causing the 2014 oil price decline. Finally, the article explores the implications of the shale oil revolution for the U.S. economy and explains why increased shale oil production is unlikely to create a boom in oil intensive U.S. manufacturing industries.
Recommender Systems: Introduction and Challenges
Venue: Recommender Systems Handbook
Year: 2015

Recommender Systems (RSs) are software tools and techniques that provide suggestions for items that are most likely of interest to a particular user. In this introductory chapter, we briefly discuss basic RS ideas and concepts. Our main goal is to delineate, in a coherent and structured way, the chapters included in this handbook. Additionally, we aim to help the reader navigate the rich and detailed content that this handbook offers.
The story of Bioglass(r)
Venue: Journal of materials science. Materials in medicine
Year: 2006

Historically the function of biomaterials has been to replace diseased or damaged tissues. First generation biomaterials were selected to be as bio inert as possible and thereby minimize formation of scar tissue at the interface with host tissues. Bioactive glasses were discovered in 1969 and provided for the first time an alternative; second generation, interfacial bonding of an implant with host tissues. Tissue regeneration and repair using the gene activation properties of Bioglass(r) provide a third generation of biomaterials. This article reviews the 40 year history of the development of bioactive glasses, with emphasis on the first composition, 45S5 Bioglass(r) that has been in clinical use since 1985. The steps of discovery, characterization, in vivo and in vitro evaluation, clinical studies and product development are summarized along with the technology transfer processes.
Morphologically Aware Word Level Translation
Venue: COLING
Year: 2020

We propose a novel morphologically aware probability model for bilingual lexicon induction, which jointly models lexeme translation and inflectional morphology in a structured way. Our model exploits the basic linguistic intuition that the lexeme is the key lexical unit of meaning, while inflectional morphology provides additional syntactic information. This approach leads to substantial performance improvements 19% average improvement in accuracy across 6 language pairs over the state of the art in the supervised setting and 16% in the weakly supervised setting. As another contribution, we highlight issues associated with modern BLI that stem from ignoring inflectional morphology, and propose three suggestions for improving the task.
Impact of ISO 9001 Standard on the Quality Cost of Construction Projects in the Philippines
Year: 2017

Since past two decades, ISO 9001 standard has shown its capabilities to lower cost, increase productivity, and satisfy stakeholders (customers) in the organizations. Although ISO 9001 standard has proven its benefits to different sectors in all over the world. But there is still debate among researchers and practitioners concerning the usefulness of applying ISO 9001 in construction projects. However, it seems that among different methods, quality cost analysis is an excellent technique to indicate how much ISO 9001 is able to improve effectively quality performance, and reduce costs in the projects. Thus, the main purpose of this study is to assess the effects of ISO 9001 implementation on quality cost in construction projects. For this aim, a literature review was conducted to design a structured questionnaire in a sample of the 67 respondents from ISO 9001:2008 certified projects of large scale (AAA) construction companies in Metro Manila, Philippine. As a quantitative research, the inferential statistics analysis used to test the hypotheses of this study. Lastly, the results reported that ISO 9001 standard significantly affects the reduction of quality cost within construction projects in Metro Manila,
Rhysiological properties of graphene nanoplatelets/rubber crowd composite modified asphalt
Year: 2020

The purpose is to enhance the service life of heavy cross asphalt pavement and maintain good road performance throughout the service cycle. Graphene nanoplatelets/rubber crowd composite modified asphalt were prepared. The influence of different temperature and frequency on the high temperature performance of composite modified asphalt was evaluated. The viscoelastic energy of composite modified asphalt under different stress and different temperature was assessed. The rheological properties of GNPs/rubber powder composite modified asphalt at low temperature were studied. The microstructure and ir spectra of composite modified asphalt were compared and analyzed. The results show that the high and low temperature properties and viscoelasticity of rubber powder modified asphalt can be improved by adding GNPs. GNPs/rubber powder composite modified asphalt can effectively improve the performance of asphalt pavement in high temperature and heavy load traffic. The combination of GNPs and rubber powder improves the crack resistance of asphalt at low temperature. By analyzing the microscopic mechanism, it can be seen that GNPs has optimized the segregation phenomenon of rubber powder modified asphalt and improved the adhesion between asphalt and ore in the composite modified asphalt mixture.
Examining a momentary mediation model of appearance related stress, anxiety, and eating disorder behaviors in adult anorexia nervosa
Venue: Eating and Weight Disorders Studies on Anorexia, Bulimia and Obesity
Year: 2017

PurposeAppearance related stress may result from appearance focused events such as seeing one's reflection, seeing media images, and shopping for clothes. The purpose of this study was to examine the prospective association between momentary appearance related stress and eating disorder (ED) behaviors (i.e. binge eating and vomiting) among women with anorexia nervosa (AN) using ecological momentary assessment (EMA) We hypothesized that appearance related stress at Time 1 would predict binge eating and vomiting at Time 2, and that this prospective association would be mediated by momentary anxiety at Time 2 (controlling for anxiety at Time 1).MethodsWomen with AN completed a 2 week EMA protocol involving repeated daily assessments of experiences and behaviors.ResultsMomentary appearance related stress preceded binge eating and vomiting, and momentary anxiety mediated the prospective association between appearance related stress and ED behaviors.ConclusionsTargeted momentary interventions delivered in the natural environment that address appearance related stress may have utility in the treatment of ED behaviors.