nils-herrmann/clean_scirepeval huggingface dataset:
Electron/positron/gamma ray beams in cosmic radio sources
Year: 2008

Further study has been made of an electrodynamic model for the origin of the beams which are thought to power extra galactic double radio sources. In this model the rotating magnetized accretion disk of a massive black hole acts as a unipolar induction dynamo. Energy and angular momentum of the infalling matter of the disk is extracted electromagnetically and propagated outward along the z axes initially as the Poynting flux of a relativistic space charge flow. Such a non neutral flow is possible in the otherwise empty vortex funnels which exist in accretion flows of matter with angular momentum. An analysis of the space charge flow is made utilizing the analog with laboratory high voltage, magnetically insulated transmission lines. The magnetic insulation is predicted to undergo electrical breakdown at a distance ~z providing a termination for the transmission line. At the termination the Poynting flux is transformed into particle kinetic energy. In general, the termination will be matched and some frac.
Effectively Transporting a Spiritually Based Intervention for Reducing Subsyndromal Anxiety and Increasing Coping Skills in Urban Adolescents: A Multiple Baseline Design
Year: 2018

A critical review of literature revealed a gap in the literature of spiritually based interventions, most notably the subject of a spiritually based intervention for reducing subsyndromal anxiety and increasing coping skills in urban adolescents. The purpose of this study was to investigate the relationship between a spiritually based intervention, a triangulation approach, subsyndromal anxiety, and coping skills in urban adolescents, employing the add on/integration of a Prayer Wheel intervention. Utilizing a multiple baseline design across subjects to demonstrate the controlling effects of spiritually based intervention/prayer wheel, research revealed a decrease in subsyndromal anxiety levels, and an increase in coping skills in urban adolescent subjects. Although the correlations between a spiritually based intervention, a triangulation approach, subsyndromal anxiety, and coping skills in urban adolescents was not as strong as hypothesized, the current study provides empirical (quantitative and qualitative) evidence that a Prayer Wheel intervention's potential impact has tripartite significance: in research, clinical, and Biblical practice, and suggests that THE PRAYER WHEEL TM Program may be an effective tool for the alleviation of symptoms of subsyndromal anxiety among urban adolescents.
Extracting highlights of scientific articles: A supervised summarization approach
Venue: Expert Syst. Appl.
Year: 2020

Scientific articles can be annotated with short sentences, called highlights, providing readers with an at a glance overview of the main findings. Highlights are usually manually specified by the authors. This paper presents a supervised approach, based on regression techniques, with the twofold aim at automatically extracting highlights of past articles with missing annotations and simplifying the process of manually annotating new articles. To this end, regression models are trained on a variety of features extracted from previously annotated articles. The proposed approach extends existing extractive approaches by predicting a similarity score, based on n gram co occurrences, between article sentences and highlights. The experimental results, achieved on a benchmark collection of articles ranging over heterogeneous topics, show that the proposed regression models perform better than existing methods, both supervised and not.
Toward Intelligent Visual Sensing and Low cost Analysis: A Collaborative Computing Approach
Venue: 2019 IEEE Visual Communications and Image Processing (VCIP)
Year: 2019

In the big data era, there has been an increasing consensus that the label information, computational resources and communication bandwidth are particularly precious. State of the art research is revolutionizing the vision systems of the smart city, which converts the visual signals from sensory input into feature representations and conveys the compact feature for analysis by using the computational resources of both front and back ends. To deploy a robust model, large amounts of labeled data are usually required, and thereby heavy computational and communication resources are incurred in model training as well as inference. However, the computational resources in front end devices are usually constrained, and heavy transmission burden is imposed when leveraging multiple models amongst different ends. In this work, we propose a novel collaborative computing approach for intelligent sensing and low cost analysis, which reduces the requirement of labeled data and communication cost, and balances the computational load in model training and inference. By incorporating the adversarial learning mechanism into collaborative model training, knowledge of different domains can be better exploited. Moreover, the learned models are deployed for inference in a collaborative manner, in which part of model is placed in front ends for extracting intermediate feature maps, and part of the model remains in back ends for inference with received feature maps. The effectiveness of the proposed approach has been validated in the context of an emerging digital retina system for smart city intelligent applications.
MOBINGAS LIETUVOJE: PADALINIO IR ORGANIZACIJOS SITUACIJA PAVIENIU TEIGINIU LYGMENIMIS
Year: 2010

The foreign and Lithuanian authors who analysed mobbing and discrimination phenomena are presented in the article. The criteria which form the characteristics of the research instrument (the features of mobbing as discrimination in employee relations; the actions of mobbing as discrimination in employee relations; additional features of mobbing as discrimination in employee relations) are discussed. Individual statements of the instrument, which signal about the strength of mobbing on the level of the division and/or the organisation, are distinguished. Diagnosing the situation of the division and the organisation on the levels of individual statements was an integrate part of the research which aimed at determining the expression of mobb
Targeting RNA helicases in cancer: The translation trap.
Venue: Biochimica et biophysica acta. Reviews on cancer
Year: 2017

Cancer cells are reliant on the cellular translational machinery for both global elevation of protein synthesis and the translation of specific mRNAs that promote tumor cell survival. Targeting translational control in cancer is therefore increasingly recognized as a promising therapeutic strategy. In this regard, DEAD/H box RNA helicases are a very interesting group of proteins, with several family members regulating mRNA translation in cancer cells. In this review, we delineate the mechanisms by which DEAD/H box proteins modulate oncogenic translation and how inhibition of these RNA helicases can be exploited for anti cancer therapeutics.
'Advancing Professionalism in Teaching' An exploration of the mobilisation of the concept of professionalism in the McCormac Report on the Review of Teacher Employment in Scotland
Year: 2012

The report of the recent review of teacher employment in Scotland, commonly known as 'the McCormac Report' was published in 2011.This article explores the conceptualisation of professionalism inherent in the Report. Using a critical discourse analysis approach we interrogate the text in relation to three key issues: professionalism; the notion of teacher 'flexibility' and the extent to which economic pressures have driven the direction of the Report. The analysis suggests that the dominant form of professionalism being employed in the Report is managerial, and that there is little evidence of alternative conceptions. We conclude that while there is no explicit definition of professionalism in the text of the Report, there is some evidence of the concept being mobilised as a form of control over teacher behaviour.
Identifying students at risk and beyond: A machine learning approach
Year: 2015

by Everaldo Aguiar A common denominator across different cultures and societies is that people are on a continuous quest to move forward in life each in their own personal way. Though success can be achieved by many routes, it is also a well known fact that a person's level of education can be a strong indicator of their achievements, professional or otherwise. Yet, persevering through the educational ladder can still be a major challenge for some students, regardless of the benefits it confers. As the first step in providing each student with the attention and support they need, a perennial challenge for educators has been to identify those students who may ultimately struggle. Unfortunately the current systems used to identify struggling students are often inadequate, precipitating dropout rates that that are a focal concern for both secondary and post secondary institutions alike. To stem the tide of student attrition, these institutions continue to invest increasing amounts of resources to foster the early identification of students who may drop out. In this work, we explore the application of various machine learning techniques to the problem of predicting which students may be at at risk of some adverse outcome. We compare the performance of such methods to that of more traditional approaches, discuss what specific student level data features can be used to measure student risk, and delineate strategies that can be followed by academic institutions that wish to deploy and evaluate these predictive models.  To my parents, Veralucia and Everaldo Aguiar ii CONTENTS
Etiological spectrum of drug resistant epilepsy A glimpse from North East India
Year: 2020

Drug resistant epilepsy (DRE) occurs in 20% 30% of all epilepsy patients. This group of patients is a clinical challenge and needs a multidisciplinary approach to achieve the etiological diagnosis and also guide their treatment protocol. A retrospective study was conducted at North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences (NEIGRIHMS) in the Northeastern region of India, where patients fulfilling the definition of DRE were followed up to establish an etiological diagnosis. Clinical and drug history was taken for these patients. Electroencephalogram and neuroimaging were done in all patients. An attempt to evaluate the various etiologies causing DRE was made. Thirty three patients were included in the study after the exclusion of pseudo resistance. Seventeen males and 16 females were included with the age range of 2 57 years. The most common clinical semiology was focal seizure with dyscognitive features seen in 16 patients. The most common etiology documented was medial temporal lobe epilepsy seen in ten patients. DRE is a common entity seen in this part of the country where epilepsy surgery is still out of reach. Etiology needs to be established in these groups of patients as other modes of therapy can be offered which include surgical and other interventions other than optimal drug therapy.
Influence of mechanism of patient accessible hospital information system implementation on doctor patient relationships: A service fairness perspective
Venue: Inf. Manag.
Year: 2017

Use of information technology makes hospital medical services more transparent.The use of information technology can improve the patients' perception of information fairness.Patients' perception of fairness has a positive effect on their satisfaction.Higher the patient satisfaction is, the better the doctor patient relationships. The relationship between a doctor and a patient plays an important role in patient satisfaction with health care services. It has become an important and contentious issue in China's health care reform. This study uses service fairness as a theoretical lens to investigate the influence an implementation of a patient accessible hospital information system (HIS) has on doctor patient relationships and patient satisfaction. We developed a research model that relates patient accessible HIS implementation with perception of service fairness, doctor patient relationships, and patient satisfaction. Data were collected from patients in one of the biggest hospitals in East China that has implemented patient accessible HIS. Results of the study show that patient accessible HIS promotes patients' perception of service fairness, improves doctor patient relationships, and increases patient satisfaction.
Effective instance selection using the fuzzy rough lower approximation
Venue: 2019 IEEE International Conference on Fuzzy Systems (FUZZ IEEE)
Year: 2019

Fuzzy rough set theory has been applied with much success to the problem of feature selection, where there is a clear link between the constructs (i.e. lower approximation, positive region, etc) and the problem (i.e. finding reducts) However, there has not been much development with regards to instance selection. Previous techniques have focused on preserving the positive region or the dependency, or have concentrated on prototype selection. This paper proposes a general instance selection approach that is efficient and effective in finding reductions that maintain the integrity of the underlying class structure. By utilizing the lower approximation information, instances can be removed that have a high similarity with more representative instances of a class. In addition to a threshold based approach, a fully automated method that requires no user input is also presented. The experimentation demonstrates that the proposed method is indeed effective at reducing the number of instances with minimal information loss.
Performance characteristics of fiber modified hot mix asphalt
Year: 2018

A mixture of polypropylene and aramid fibers was used in this study to evaluate the performance characteristics of a modified asphalt mixture. A conventional dense graded hot mix asphalt (HMA) used in Sao Paulo, Brazil was used. The laboratory experimental program included the evaluation of: resistance of compacted hot mix asphalt (HMA) to moisture induced damage, resilient modulus, dynamic modulus; flow number test; fatigue by flexural bending, and fracture energy using the semi circular test. Two asphalt mixtures were used in the laboratory program: a control HMA with no fibers, and a fiber reinforced HMA, which contained the fibers. The data was used to compare the performance of the fiber modified mixture to the control. The results showed that the fibers improved the mechanical properties of the control hot mix asphalt. The use of polypropylene and aramid fibers in HMA could enhance the performance of asphalt pavements against common distresses as rutting, raveling, fatigue and reflective cracking.
SWOT analysis for the development of photovoltaic solar power in Africa in comparison with China
Venue: Environmental Impact Assessment Review
Year: 2019

Development of solar power becomes a necessary measure to combat global climate change and local environmental pollution in the world. In Africa, solar power resource is abundant, and deployment of solar photovoltaic (PV) offers a new opportunity for both economic growth and low carbon development. Using an approach of SWOT analysis, we investigate the internal strengths and weaknesses, and the external opportunities and threats for PV solar power development in Africa. Particularly, factors are examined and discussed for African countries in terms of their internal strengths of rich solar resource, vast land, suitable application for distributed PV power systems; their weaknesses of small scale of renewable energy investment, shortness of foundation for the PV industrial chain, insufficient awareness of social and environmental benefits of solar PV; their external opportunities of increasing gap between energy supply and demand, raising global awareness of Climate Change, rapid decrease of PV price, as well as their external threats of dominant position of the fossil fuels, potential environmental impacts related to the solar PV development, and discontinuity of energy policies. The analysis particularly emphasizes on a new opportunity for African countries to develop their solar power resource through mutually beneficial cooperation between Africa and China within the framework of the Belt and Road Initiative (BRI)
Assessment and mitigation of tangible flood damages driven by climate change in a tropical city: Hat Yai Municipality, southern Thailand.
Venue: The Science of the total environment
Year: 2021

Climate change induced floods in tropical urban areas have presented a serious global challenge because of failed conventional stormwater management practices. This research aims to develop a comprehensive methodological framework for flood damage estimation and mitigation, particularly in a tropical urban city. In this study, interdisciplinary fields were integrated through statistical downscaling, hydrologic hydraulic modeling, and the development of flood damage curves. Relationships between tangible flood damage and flood borne outbreak with flood depths were elucidated to predict future damage. Various flood mitigation strategies were evaluated. Herein, Hat Yai Municipality in Southern Thailand was selected as the study area. The flood simulation was conducted for 2010 and the highest flood damage sensitivity was exhibited by non commercial buildings due to significant commercial stock damage, which was followed by that observed for detached houses. There was a strong linear relationship between the number of patients infected with leptospirosis and flood depth (R2 0.85) For climate change studies, flood maps for storms with 20 50 and 100 year return periods under the A2/RCP8.5 scenario were generated using hydrological hydraulic 1D/2D model; these maps were applied with the developed flood damage curves for damage estimation. It was found that reducing flood damage by implementing agroforestry and expanding the main bypass channel provides comparable damage reductions of 25.5% and 27.5% respectively, under the worst case scenario of a 100 year return period in 2040 2059. Therefore, to deal with uncertain climate change situations, the incorporation of structural and non structural measures is recommended. Such a combination when coupled with an eight hour flood awareness time can result in a damage reduction of 59.9% A flood warning system was in high demand by residents in the area; however, damage reduction from this measure alone was not high (approximately 17.0% when compared to that obtained with other measures; consequently, additional measures were needed.
2 D Synthesized Magnetic Field Focusing Technology With Loop Coils Distributed in a Rectangular Formation
Venue: IEEE Transactions on Industrial Electronics
Year: 2019

In this paper, a novel loop coil structure for synthesized magnetic field focusing (SMF) technology and two current distribution calculating algorithms in the structure are proposed. The proposed structure enables field focusing in two dimensional (2 D) space for the first time. The loop coil structure with a rectangular formation is adopted for a 2 D SMF system to minimize the volume and weight of the transmitting (Tx) coil array considering that conventional SMF systems inevitably have a volumetric design due to their dipole based structure. Two algorithms to calculate the current distribution so as to focus the magnetic field at the target point are proposed. The first algorithm applies the Biot Savart law to a loop coil based 2 D SMF system to calculate the distribution. The second algorithm utilizes a time efficient synthesis method which reduces the matrix dimensions used in current distribution calculation. The second algorithm shows synthesis results with similar synthesis resolution compared with the first algorithm. Although the magnetic field distribution with the second algorithm has a little difference with that of first algorithm, its synthesis result focuses the magnetic field on the target point successfully, and it becomes more powerful as the number of coils increases. Synthesis results using two algorithms were compared with a finite element method simulation with 100 Tx coils and 25 receiving (Rx) points. The synthesis resolution, as determined by 3 dB points, was enhanced by 4.45 times and 6.15 times for the first and the second algorithm, respectively, when compared to nonfocused case. An experimental prototype with 36 Tx coils and 9 Rx points with each coil 10 x 10 cm in size was built to demonstrate field focusing with current distributions calculated by the second algorithm at a frequency of 145 kHz. The experimental results were in good agreement with the simulated results, including a case in which the magnetic field was focused at Rx point other than center.
Multi method identification and characterization of the intermetallic surface layers of hot dip Al coated steel: FeAl3 or Fe4Al13 and Fe2Al5 or Fe2Al5+x
Year: 2017

Until now, several different chemical formulae are used to refer to the intermetallic th and e layers formed at the surface of hot dip aluminized steel. To clear up the subsequent confusion, both layers were identified and characterized using several experimental techniques combined with DFT calculations. 1 EDX and EBSD mappings were performed on the cross section of a hot dip aluminized steel and showed the presence of the two single phased intermetallic layers, th and e, just beneath the aluminum top layer. The XRD pattern of a sample of which the top aluminum layer was removed, confirmed the foregoing observations. The compositions of both layers were determined by APT and yield Fe 4 Al 13 and Fe 2 Al 5.6 DFT calculations showed the stability of the Fe 4 Al 13 phase and predicted Fe 4 Al 13 to be the only stable composition in that area of the Fe Al phase diagram. Based on the DFT results, the ILEEMS spectrum of the th layer could be successfully analyzed and, for the first time, fully interpreted in accordance with the crystallographic structure of Fe 4 Al 13 Fe 4 Al 13 is suggested for referring to the composition of the th layer, instead of other formulae, e.g. FeAl 3 The ILEEMS e layer spectrum was best reproduced by a model independent quadrupole splitting distribution, which supports the dis ordered structure model for the e layer. An analysis based on the results of the DFT calculations, confirmed this finding. Because of the partially dis ordered structure of the e layer and the width of the related region in Fe Al phase diagrams, Fe 2 Al 5+x is suggested for referring to the composition of the e layer.
Forceful Federalism against American Racial Inequality
Venue: Government and Opposition
Year: 2017

Why, many Americans rightly ask, can material racial inequality and widespread segregation still persist 50 years after the enactment of key civil rights legislation and eight years after the election of an African American to the nation's highest office? Many from outside the US pose similar questions about modern America. The explanation, I argue, lies with inconsistent and fluctuating levels of federal engagement to building material racial equality. National engagement fluctuates because it is energetically resisted and challenged by opponents of racial progress. This vulnerability to disruption is exposed by varying strategies of resistance, some fiscal, some violent, some judicial, some desultory and some combining violent protest against change with local electoral triumphs for anti reformers. Public resistance to employing national resources to reduce inequality encouraged a de racialization strategy amongst many African American candidates for elected office who opt to de emphasize issues of racial inequality in campaigns and in office. Whatever the means, the effect is uniform: the slowing down or outright death of federal civil rights activism.