nils-herrmann/clean_scirepeval huggingface dataset:
The Effect Of Murabaha Financing And Sharia Bank Musharaka Financing To Gross Domestic Product
Year: 2020

The purpose of this study is to determine the effect of murabaha financing and musharaka financing on Gross Domestic Product (GDP) in Indonesia. The research methods used in this study are research flow diagrams, data collection, literature studies, problem identification, preprocessing, data analysis (data analysis used is multiple linear regression, normality test, classic assumption test (multicollinearity test and autocorrelation test) statistics (coefficient of determination (R 2 statistical F test, and statistical t test) the results of data analysis, final evaluation, research approaches, and research hypotheses.The results of this study are Islamic bank murabaha financing variables have no effect and are not significant on Domestic Product variables Gross (GDP) while Islamic bank financing variables influence and significantly influence the Gross Domestic Product (GDP) variable, then Islamic bank murabaha financing variables and Islamic bank musyarakah financing variables simultaneously significantly influence the Gross Domestic Product (GDP) variable Keywords: Murabaha, Musharaka, Gross Domestic Product, Islamic Bank The Effect Of Murabaha Financing And Sharia Bank Musharaka Financing To Gross Domestic Product
Reducing Time and/or Memory Consumption of the SOG Construction in a Parallel Context
Venue: 2018 IEEE Intl Conf on Parallel Distributed Processing with Applications, Ubiquitous Computing Communications, Big Data Cloud Computing, Social Computing Networking, Sustainable Computing Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom)
Year: 2018

An efficient way to cope with the combinatorial explosion problem induced by the model checking process is to compute the Symbolic Observation Graph (SOG) Such a graph is a condensed representation of the state space that is obtained by taking advantage of symbolic representation of the nodes. Each node, called aggregate, represents a set of explicit states and is encoded using Multi valued decision diagrams. In a previous work, we have shown that parallel and distributed approaches can improve drastically the performances of the SOG computation regarding a sequential construction. In this paper, we go a step forward in improving the SOG construction process by reducing, on the fly, the size of its aggregates. We propose a Multi valued decision diagrams (MDDs) based algorithm to determine a single representative for each strongly connected component in every aggregate allowing to remove from memory a consequent number of states which are no more necessary for the construction process. Two parallel approaches for the building of an SOG are proposed using such an optimization. The first approach is based on a shared memory architecture, while the second is based on a distributed memory one. The results of our preliminary experiments show that, in first case, the canonization allows to obtain more compact SOG (in terms of memory consumption) while increasing the computation time. However, for the distributed memory based approach, the canonization allows to reduce the size of exchanged messages and therefore reducing communication time.
Comparing the effects of Valsalva maneuver and ice massage at Hoku point methods on pain intensity within the needle insertion to the arteriovenous fistula (AVF) for patients undergoing hemodialysis in the selected hospitals in Isfahan in 2015
Year: 2016

Pain is an unpleasant feeling and it is called as the fifth vital sign. Fistula cannulation in hemodialysis patients is a very stressful and painful process. Nurses can help to relieve pain with the use of non pharmacological pain management therapies, independently. This study was conducted aimed to compare and determine the effects of Valsalva maneuver and ice massage at Hoku point on pain intensity during cannulation of arteriovenous fistula in patients undergoing hemodialysis. This study was conducted on 70 hemodialysis patients who were selected by convenience sampling in two Amin Medical Center and Hazrat e Zahra e Marziye Hospital in Isfahan and were placed in two groups of Valsalva maneuver and ice massage. Data collecting was performed using an interview questionnaire developed by the researcher, Abbey pain scale and numerical pain rating. Data analysis was done using the descriptive and analytic tests in SPSS software version 20. Mann Whitney results showed that there was no significant difference in objective pain rate between two groups after intervention (P=0.73) Also this test showed that after intervention, objective pain rate in Valsalva maneuver group is significantly less than ice massage group (p=0.04) Valsalva maneuver method compared to ice massage method reduces the objective pain due to cannulation of arteriovenous fistula in patients undergoing hemodialysis, more efficiently.
Rho signaling research: history, current status and future directions
Venue: FEBS letters
Year: 2018

One of the main research areas in biology from the mid 1980s through the 1990s was the elucidation of signaling pathways governing cell responses. These studies brought, among other molecules, the small GTPase Rho to the epicenter. Rho signaling research has since expanded to all areas of biology and medicine. Here, we describe how Rho emerged as a key molecule governing cell morphogenesis and movement, how it was linked to actin reorganization, and how the study of Rho signaling has expanded from cultured cells to whole biological systems. We then give an overview of the current research status of Rho signaling in development, brain, cardiovascular system, immunity and cancer, and discuss the future directions of Rho signaling research, with emphasis on one Rho effector, ROCK* *The Rho GTPase family. Rho family GTPases have now expanded to contain 20 members. Amino acid sequences of 20 Rho GTPases found in human were aligned and the phylogenetic tree was generated by ClustalW2 software (EMBL EBI) based on NJ algorithm. The subfamilies of the Rho GTPases are highlighted by the circle and labeled on the right side. Rho cited in this review refers to the original members of Rho subfamily, RhoA, RhoB and RhoC, that are C3 substrates, and, unless specified, not to other members of the Rho subfamily such as Rac, Cdc42, and Rnd.
Factors influencing the culture of special school physical education: A Gramscian critique
Year: 2020

Physical education (PE) research has largely been preoccupied with mainstream (regular) schools. This article reports on part of a larger research project that centralises special school PE. In particular, Gramsci's conceptualisations of hegemony, power and ideology are utilised to help shed light on the key factors that shape the culture of special school PE. A number of key themes were constructed from twelve interviews with special school senior leaders and PE teachers including, 'economic climate: budgetary constraints' 'access to appropriate facilities and learning spaces' and 'pressures from Office for Standards in Education, Children's Services and Skills (Ofsted) and senior management team' These findings demonstrate how particular historical and contemporary factors contribute to the positioning of PE in special schools. The status and value of PE in these settings is sometimes considered less favourably than other areas of the curriculum or indeed mainstream PE. In spite of this, staff tasked with delivering special school PE had the desire and creativity to offer engaging experiences. In concluding we note that issues concerning economic constraints, limited space to deliver PE and pressures associated with Ofsted can be found in many mainstream schools too. However, honing in on the particular circumstances within special schools broadens insight about PE in contemporary schools.
Socio technical evolution of the Ruby ecosystem in GitHub
Venue: 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)
Year: 2017

The evolution dynamics of a software ecosystem depend on the activity of the developer community contributing to projects within it. Both social and technical changes affect an ecosystem's evolution and the research community has been investigating the impact of these modifications over the last few years. Existing studies mainly focus on temporary modifications, often ignoring the effect of permanent changes on the software ecosystem. We present an empirical study of the magnitude and effect of permanent modifications in both the social and technical parts of a software ecosystem. More precisely, we measure permanent changes with regard to the ecosystem's projects, contributors and source code files and present our findings concerning the effect of these modifications. We study the Ruby ecosystem in GitHub over a nine year period by carrying out a socio technical analysis of the co evolution of a large number of base projects and their forks. This analysis involves both the source code developed for these projects as well as the developers having contributed to them. We discuss our findings with respect to the ecosystem evolution according to three different viewpoints: (1) the base projects, (2) the forks and (3) the entire ecosystem containing both the base projects and forks. Our findings show an increased growth in both the technical and social aspects of the Ruby ecosystem until early 2014, followed by an increased contributor and project abandonment rate. We show the effect of permanent modifications in the ecosystem evolution and provide preliminary evidence of contributors migrating to other ecosystems when leaving the Ruby ecosystem.
Comparison of Tadalafil and Tamsulosin in Medical Expulsive Therapy for Ureteric Calculus: Prospective, randomized, placebo controlled study
Year: 2019

Ureteric calculi usually present as acute episode of ureteral colic. Primary aim of our study was to compare the stone expulsion rate for tadalafil and tamsulosin. We also compared time to stone expulsion, need for an analgesic requirement and side effect associated with these drugs.  150 patients presenting with single lower ureteral stone (juxtavesical ureteral lithiasis at lower 5 cm of the ureter) 4 to 10 mm in size were randomized in three groups. Patients in group one received placebo and served as control, group two received phosphodiesterase 5 inhibitors (tadalafil 10mg OD) and group 3 received alfa one blockers (tamsulosin 0.4 mg OD) for accelerating the passage of the stone.  The stone expulsion rate was 58% (36 of 50 patients) for the placebo group, 80 (40 of 50 patients) for tadalafil group and 74 for the tamsulosin group (37 of 50 patients) Tadalafil was superior to placebo in terms of stone expulsion rate (p value: 0.017) but comparable to tamsulosin (p: 0.139) Patients in the tadalafil group had significantly less pain scores at 1 and 2 weeks follow up in comparison to the other two groups. Mean analgesic requirement for placebo, tadalafil and tamsulosin was 331, 132.93 and 277.08 mg of diclofenac respectively.  Tadalafil has better stone expulsion rate and faster stone expulsion as compared to tamsulosin but the difference is not statistically significant. Tadalafil results in statistically significant improvement in pain scores and decreased requirement of analgesic as compared to other two groups.
Putting the "H" in STEAM: Paradigms for Modern Liberal Arts Education
Year: 2015

This chapter seeks to connect current debates about the value of traditional liberal arts education to emerging trends in the learning sciences that promote metacognition, active learning, and other 21st century skills. This paper proposes that STEAM (Science, Technology, Engineering, Arts, and Mathematics) an emerging K 12 approach that infuses the arts within STEM fields, has enormous potential to infuse the liberal arts with design thinking, collaboration, creative computing, and innovation while maintaining the level of deep reflection and critical thinking associated with humanist inquiry. While STEAM has yet to reach higher education in the same way that it has K 12 grades, it is argued that the trends in K 12 foreshadow coming trends in higher education. STEAM within higher education looks at movements that address interactivity, innovation, and inquiry in the form of interactive media design studios, makerspaces, and digital humanities initiatives. This chapter will examine artifacts produced thus far and propose further empirical research studies within higher education to advance what we know about emerging technology enhanced learning environments and their role in disciplinary knowledge formation. A secondary goal is to create a stronger dialog between K 12 research and higher education trends that have their roots in pre college initiatives.
Chemical Diversity of Codium bursa (Olivi) C. Agardh Headspace Compounds, Volatiles, Fatty Acids and Insight into Its Antifungal Activity
Venue: Molecules
Year: 2019

The focus of present study is on Codium bursa collected from the Adriatic Sea. C. bursa volatiles were identified by gas chromatography and mass spectrometry (GC FID; GC MS) after headspace solid phase microextraction (HS SPME) hydrodistillation (HD) and supercritical CO2 extraction (SC CO2) The headspace composition of dried (HS D) and fresh (HS F) C. bursa was remarkably different. Dimethyl sulfide, the major HS F compound was present in HS D only as a minor constituent and heptadecane percentage was raised in HS D. The distillate of fresh C. bursa contained heptadecane and docosane among the major compounds. After air drying, a significantly different composition of the volatile oil was obtained with (E) phytol as the predominant compound. It was also found in SC CO2 extract of freeze dried C. bursa (FD CB) as the major constituent. Loliolide (3.51% was only identified in SC CO2 extract. Fatty acids were determined from FD CB after derivatisation as methyl esters by GC FID. The most dominant acids were palmitic (25.4% oleic (36.5% linoleic (11.6% and stearic (9.0% FD CB H2O extract exhibited better antifungal effects against Fusarium spp. while dimethyl sulfoxide (DMSO) extract was better for the inhibition of Penicillium expansum, Aspergillus flavus, and Rhizophus spp. The extracts showed relatively good antifungal activity, especially against P. expansum (for DMSO extract MIC50 was at 50 ug/mL)
[REMOTE EMPLOYMENT AS A FACTOR IN THE TRANSFORMATION OF HUMAN RESOURCE MANAGEMENT DURING AND AFTER THE COVID 19 PANDEMIC]
Venue: Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny
Year: 2021

The COVID 19 crisis significantly transformed approaches to workplace organization, employment, forms and technologies of professional work activities, causing significant changes in systemic human resource management. A huge number of businesses and organizations found themselves facing the need to move their employees to out of office employment. The practice of working remotely, which has become a necessity for many employers in the period since March 2020, has necessitated the transformation of human resource management and personnel management, since remote employment forms new features not only in the performance of work, but also in the provision of the workplace, work safety, training of personnel, etc. Which means that the whole range of personnel work should be adapted to the remote format. The purpose of the presented work is to consider the prospects of reforming approaches to personnel management through indicators of remote employment, massively prevalent during the COVID 19 pandemic.
Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset
Venue: 2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL EpiRob)
Year: 2020

Modern social intelligence includes the ability to watch videos and answer questions about social and theory of mind related content, e.g. for a scene in Harry Potter, "Is the father really upset about the boys flying the car?" Social visual question answering (social VQA) is emerging as a valuable methodology for studying social reasoning in both humans (e.g. children with autism) and AI agents. However, this problem space spans enormous variations in both videos and questions. We discuss methods for creating and characterizing social VQA datasets, including 1) crowdsourcing versus in house authoring, including sample comparisons of two new datasets that we created (TinySocial Crowd and TinySocial InHouse) and the previously existing Social IQ dataset; 2) a new rubric for characterizing the difficulty and content of a given video; and 3) a new rubric for characterizing question types. We close by describing how having well characterized social VQA datasets will enhance the explainability of AI agents and can also inform assessments and educational interventions for people.
Constrained K means with external information
Venue: 2013 8th International Conference on Computer Science Education
Year: 2013

Constrained K means clustering has been widely used in semi supervised clustering. Background knowledge or priori information is usually presented as pair wise constraints (must link and cannot link constraints) in the clustering objects. However, in many applications the relevant background knowledge about the data we want to analysis is not available. Instead we know there are some other relevant data which are not the same class as the clustering objects. We call these data as external information for the clustering objects and formalize it as a new constrained clustering problem with cannot link constraints. Experiments on UCI datasets show that external information can effectively improve the clustering quality of clustering objects.
A Comparative Review of Recent Kinect Based Action Recognition Algorithms
Venue: IEEE Transactions on Image Processing
Year: 2020

Video based human action recognition is currently one of the most active research areas in computer vision. Various research studies indicate that the performance of action recognition is highly dependent on the type of features being extracted and how the actions are represented. Since the release of the Kinect camera, a large number of Kinect based human action recognition techniques have been proposed in the literature. However, there still does not exist a thorough comparison of these Kinect based techniques under the grouping of feature types, such as handcrafted versus deep learning features and depth based versus skeleton based features. In this paper, we analyze and compare 10 recent Kinect based algorithms for both cross subject action recognition and cross view action recognition using six benchmark datasets. In addition, we have implemented and improved some of these techniques and included their variants in the comparison. Our experiments show that the majority of methods perform better on cross subject action recognition than cross view action recognition, that the skeleton based features are more robust for cross view recognition than the depth based features, and that the deep learning features are suitable for large datasets.
Winning in Emerging Markets: A Roadmap for Strategy and Execution, by Tarun Khanna and Krishna G. Palepu
Year: 2012

The financial crisis has made emerging markets even more relevant for two reasons, say Tarun Khanna and Krishna G. Palepu, authors of Winning in Emerging Markets. First, many in business and government are convinced that a significant part of growth in the next several decades is likely to come from these markets. In the first six months of 2009, they note, the FTSE International Emerging Markets Index was up 41.1 percent, whereas the FTSE All World Developed Markets Index was up 7.2 percent (more recent data from the Financial Times corroborates this: the MSCI Emerging Markets index returned 13.2 percent annualized for the ten years ended December 2010, versus just 0.6 percent for the MSCI World Index of Developed Markets) Second, lessons and innovations from these markets may be relevant for mature Western markets, as consumers become more cost and value conscious. How should firms determine which emerging market(s) to enter? The conventional wisdom is to focus on size or growth potential. But Khanna and Palepu take a refreshingly different approach. The primary exploitable characteristic of an emerging market, they argue, is its lack of institutional infrastructure. Emerging markets are thus defined as those where specialized intermediaries in capital, product, and labor markets are absent or poorly functioning. However, although these institutional voids throw up obstacles to expanding business operations, they also create major opportunities, and the authors provide an actionable framework for identifying and capitalizing on them. Armed with a more granular understanding of the underlying market structure of emerging economies, they argue, multinationals and local firms alike will be better equipped to gauge their potential, avoid mistakes, and define and execute winning business strategies. The book is based on the experiences of nine multinational companies and the same number of emerging market companies.
Nonlinear numerical analysis and progressive damage assessment of a cable stayed bridge pier subjected to ship collision
Year: 2020

Despite many studies on barge collisions with girder bridges in the literature, this paper investigates the progressive damage behaviors and nonlinear failure modes of a cable stayed bridge pier subjected to ship collisions using finite element (FE) simulations in LS DYNA. The damages in the pier initiate with appearing of local shear failures in the slender columns during the ship collision stage and reach the severe cross sectional fractures associated with the formation of plastic hinges which causes the combined shear flexural failures during the free vibration phase of the pier response. In addition, an analytical simplified model with two degree of freedom (2 DOF) is proposed to formulate the strain rate effects of the concrete materials as the dynamic increase factors in the global responses of the impacted pier. It is found that the analytical model is able to efficiently estimate the impact responses of the structure compared to those from the FE high resolution simulations. Moreover, three different damage indices are proposed based on the pier deflection, the internal energy absorbed by the pier, and the axial load capacity of the pier columns to classify the damage levels of the pier. Finally, an efficient damage index method is determinant by comparing the calculated results with the damage behaviors of the pier observed from the FE simulations.
Signal Processing Model of Human Auditory System
Year: 2015

To evaluate environmental noise, we need to use methods based on functioning of our auditory system. In this chapter, basics of human auditory system are described. First, the ear sensitivity of the human ear from a sound source to the auditory system consisting of the external canal, eardrum, bone chain with oval window, auditory nerve, cochlear nucleus, thalamus, brain stem, and cortex, and signal processing model for evaluation of environmental noise are described. Second, brain responses in relation to basic perception such as loudness and annoyance are described.