nils-herrmann/clean_scirepeval huggingface dataset:
The Experiences of Athletes, Parents, and Coaches with the Long Term Athlete Development Model (LTAD) in Youth Soccer Academies
Year: 2017

The Long Term Athlete Development Model (LTAD) has been developed to allow children the best chance of engaging in lifelong sport and physical activity. The LTAD focuses on long term development, not short term success, which allows for the best opportunity of sport participation and optimal sport potential throughout life (Balyi, Way, Higgs, 2013) Research surrounding the LTAD model has stated that there is a lack of empirical evidence of the model being utilized within sport, as some researchers believe that it is more theoretical than practical (Lloyd Oliver, 2012) However, even with this criticism of the LTAD model, Canadian sport policy makers have trusted the scientific research and training methods to implement the LTAD across Canadian sports. With this in mind, the general purpose of the present study was to add much needed empirical evidence for the LTAD model, providing insight into the experiences people have had with the model, as well as evaluating if the guiding principles of the model are being implemented in Canada's most participated team sport, soccer. This occurred through multiple perspectives (e.g. athletes, parents, and coaches) More specifically, the population of interest was Ontario soccer academies, who are attempting to develop the next generation of elite/professional level players utilizing the LTAD model. To achieve this objective, semistructured interviews were conducted with 21 participants (8 athletes, 7 parents, and 6 coaches) from four different soccer academies. Upon completion of the interviews, they were transcribed verbatim and then analyzed by a research team using an inductive analysis approach (Patton, 2002) To ensure that the current study was credible and trustworthy, several measures were taken including, a reflexive journal, field notes, investigator and data triangulation, and participant member checks. Results demonstrated that these four soccer academies utilize the LTAD model. Themes were organized into research areas for the three subgroups with
Qualitative Online Interviews: Strategies, Design, and Skills
Year: 2014

The Second Edition of Qualitative Online Interviews by Janet Salmons provides researchers the guidance they need to extend the reach of their studies beyond physical boundaries. Focusing on designing, conducting, and assessing data drawn from online interviews as well as from observations, materials, and artifacts collected online, the book emphasizes the use of in depth interviews in qualitative research or mixed methods designs. Written in an easy to read manner, the thorough Second Edition offers the practical information and scholarly foundations needed to make thoughtful decisions in technology infused research. The text is an excellent example for providing effective and efficient instruction. Learners can easily navigate the various components, and it can be used for self studyMARVELOUS DEPTH OF COVERAGE ON THE ONLINE INTERVIEW PROCESS. It is at the leading edge of thinking in the field of e research. Anne Marie Armstrong, Colorado Technical University [This book] presents a CLEAR, RESEARCH BASED CONCEPTUAL FRAMEWORK to understand both the process of qualitative data collection using interviews, as well as ethical and practical considerations associated with design and implementation. This is a most comprehensive book addressing the concepts and protocol of qualitative research methods with particular consideration for computer mediated thinking, connecting, interviewing, and data collection and analysis..This text is more than a how to volume on qualitative interviewing. This book is rich with the organizational structure of the process of qualitative methodology that enhances the methods! Sally R. Beisser, Drake University The new edition is timely, and covers relevant areas of using available online media to collect qualitative interviews. Particularly useful as a text to help those who want to DO RESEARCH ON GLOBAL INTERNATIONAL PARTICIPANTS without being limited by availability of funding for travelling abroad. Faith Wambura Ngunjiri, Eastern University [This is] a very THOUGHTFUL AND ENGAGED TEXT on very important 21st century issues. Concepts, even very difficult ones, are explained clearly and gracefully.  It tackles the complicated matter of merging technology with research in a rather lucid manner. David Lee Carlson, Arizona State University The text provides EXCELLENT COVERAGE OF UP TO DATE ALTERNATIVES TO THE FACE TO FACE INTERVIEWIt provides a framework for learning and thinking about online methods, and it provides tools for designing and conducting online interviews. It is honest and practical. It sits on the top of the new directions in research in the ever growing digital arena. Sherri Oden, Oakland University
A new look on factors affecting microbial degradation of petroleum hydrocarbon pollutants
Year: 2017

In recent years, there has been increasing concern over public health threat presented by introduction of petroleum hydrocarbon pollutants in environment due to anthropogenic activities to a greater extent and natural processes to some extent. Many countries all over the world are currently facing severe problem due to these pollutants as they are one of the persistent organic pollutants (POPs) Remediation of polluted sites by biodegradation is a viable option as conventional physico chemical methods for remediation seems technically as well as economically challenging. Biodegradation is non invasive and could be cost effective in removal of petroleum hydrocarbon pollutants. It is considered as ultimate mechanism for pollutants removal. Immobilized microbial cells give advantage over free microbial cells to improve the survival and retention of the bioremediation agents in polluted sites. However, current biodegradation approaches suffer from a number of limitations, which include pollutant characteristics, poor capabilities of microbial communities in the field, lesser bioavailability of pollutants, growth conditions, etc. Understanding the factors affecting microbial degradation is of great research interest in present scenario. This review selectively examines and provides a critical view on bioavailability of the substrates, microorganisms in petroleum hydrocarbon pollutants degradation and the molecular techniques for their characterization, degradation mechanisms under aerobic and anaerobic conditions, commercially available bioremediation agents and factors affecting biodegradation of these pollutants. Role of genetically modified organisms and biodegradation of petroleum hydrocarbon pollutants by immobilized will also be discussed.
RECURRENTNEURAL NETWORK REGULARIZATION
Year: 2014

We present a simple regularization technique for Recurrent Neural Networks (RNNs) with Long Short Term Memory (LSTM) units. Dropout, t he most successful technique for regularizing neural networks, does n ot work well with RNNs and LSTMs. In this paper, we show how to correctly apply dropo ut t LSTMs, and show that it substantially reduces overfitting on a varie ty of tasks. These tasks include language modeling, speech recognition, image capt ion generation, and machine translation.
Relationships between Nurses' Resilience, Emotional Labor, Turnover Intention, Job Involvement, Organizational Commitment and Burnout
Year: 2016

To explore the correlation of emotional labor, turnover intention, burnout, job involvement, organizational commitment and resilience among nurses and identify the factors affecting resilience.  The participants were 382 nurses within five years of clinical career who had a registered nurses license and involved at the Hospital Nurses Association's nationwide education program. A total of 382 questionnaires were collected from January to June 2015. Finally, 340 data that excluded 42 as improper responses were analyzed using t test, ANOVA, Pearson correlation coefficient and Simple regression analysis.  Resilience of nurses was positively correlated with job involvement and organizational commitment. It was negatively correlated with emotional labor, turnover intention and burnout. The variables significantly affected by resilience were emotional labor (F 17.30, p<.001) job involvement (F 21.53, p<.001) organizational commitment (F 28.11, p<.001) and burnout (F 77.85, p<.001) But resilience had no significant effect on turnover intention.  This study revealed that the important individual factor of resilience had a positive influence on organizational commitment. Thus, resilience should be actively promoted and a program developed to enhance the resilience of nurses.
Parental Influences on Adolescent Major Depressive Symptoms and Marijuana Use
Venue: International Journal of Mental Health and Addiction
Year: 2020

Adolescent depression is associated with many negative outcomes, including elevated marijuana use. Although parental influences on adolescent depressive symptoms and marijuana use have been examined independently, their interrelation remains understudied. The current research investigates the hypothesis that lower levels of parental monitoring and warmth are inversely associated with adolescent depressive symptoms and marijuana use. A path analytic approach N 12,115) on data from a representative US sample indicated depressive symptoms had an indirect effect on the relationship between parental warmth p .001) monitoring p .013) and adolescent marijuana use. Exploring relationships grouped by respondents' age (12 14 and 15 17 years, respectively) revealed minor differences. Depressive symptoms had significant indirect effects on parental warmth and marijuana use (both p .001) and on parental monitoring and marijuana use (both p .05) Parental influences appear to play an important role in marijuana use among adolescents with depressive symptoms.
Motivation oriented scenario based gamification design method using the user requirements notation modeling
Year: 2017

Gamification, defined as the use of game design elements in non game contexts, has been a trending in both academic and in a variety of industrial domains for around half a decade. A number of empirical studies have showed the usefulness and effectiveness of applying gamification to enhance people's motivation and engagement in different activities. On the other hand, multiple design frameworks and methods have been proposed to guide the practice of gamification design and development. However, one of the key issues for gamification, which is being only focusing on using less essential game elements on motivating instead of providing genuinely meaningful gameful experiences, has not yet been addressed fully. Furthermore, the existing gamification design frameworks contribute limitedly in providing constructive and easily applicable design methods or tools that to facilitate the motivation and behavior analysis and ideation of gamification projects. Therefore, in this study, the author proposes the Motivationoriented Scenario based Gamification Design method in order to address the issues mentioned above. The method is an adaption of the User Requirement Notation to the modeling of system goals, gamification motivations, system user behaviors, existing gameplay, and the mapping between them. The new method aims to provide not only an innovative way of specifying gamification designs on the mechanic and dynamic levels, but also a possibly insightful perspective towards improving gamification experiences and effectiveness with meaningful plays. In addition, a case study is conducted by applying the proposed method to a real life language learning system, WordDive, with the method validated and evaluated via an interview with an expert from the WordDive company.
QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science
Year: 2018

We present QIIME 2, an open source microbiome data science platform accessible to users spanning the microbiome research ecosystem, from scientists and engineers to clinicians and policy makers. QIIME 2 provides new features that will drive the next generation of microbiome research. These include interactive spatial and temporal analysis and visualization tools, support for metabolomics and shotgun metagenomics analysis, and automated data provenance tracking to ensure reproducible, transparent microbiome data science.
The Philosophy of positivism in economic science
Year: 2018

The article deals with the results of economic research and question of their reliability. The author shows the issue of proof and verification economic research results, approaches to the verification of information. In particular, author pays attention to the principles of positivism and the possibilities of its application in economic science. The author focuses on the existence of two main areas, which are dominatenow by economic science: "economism" and "bibliometric" Since economic science is dominated by positions that can be identified as "economics" (the Anglo American scientific and economic school) excessive attention is paid to the application of mathematical and statistical apparatus in research. The intensity of the use of mathematical methods identified as the quality and reliability of scientific research. There isanother tendency: due to the intensity of the use of bibliometric indicators for the evaluation of scientific results, bibliometrics has become a basic tool for verifying the reliability of scientific knowledge.
HEXAMUF Interior Design Sebagai Solusi Keterbatasan Ruang Pada Kapal General Cargo
Year: 2020

Desain Interior adalah proses merancang dan merencanakan suatu ruangan dengan mengedepankan aspek keindahan, kenyamanan, dan fungsi dari ruangan tersebut. Dengan seiring berkembangnya waktu sebuah ruangan dituntut dapat memberikan fungsi lebih dengan didukung furniture yang memadai walaupun dengan kapasitas ruangan yang terbatas layaknya ruangan pada sebuah kapal. Pada penelitian ini akan merancang sebuah furnitur dengan fungsi primer dan beberapa fungsi sekunder sehingga dapat mengurangi penggunaan furnitur yang lebih banyak pada ruang akomodasi kapal general cargo. Penelitian ini menerapkan perhitungan antropometri sehingga menghasilkan dimensi furniture yang ergonomis dan ramah terhadap bentuk tubuh manusia. Selain itu rancangan yang dibuat tidak meninggalkan segi keindahan dengan mengambil konsep minimalis modern. Rancangan ini mengambil sebuah bentuk alam dari sarang lebah yang dianggap memilki keunggulan dalam segi strukutur dan mudah dipadupadankan satu sama lain. Penelitian ini menghasilkan sebuah desain sofa sebagai fungsi primer dan tempat tidur, meja dan kursi sebagai fungsi sekunder dengan pemilihan material yang dianjurkan dalam sebuah kapal. Sofa ini dapat dibongkar pasang sesuai kebutuhan sehingga didapatkan fungsi sekundernya yang sangat cocok digunakan pada ruang yang tidak terlalu luas layaknya ruangan pada ruang akomodasi kapal.
Benefits realization from IS/IT investments a perspective from ERP systems
Year: 2014

Delivery of benefits from many ERP systems remains disappointingly low. The high investment in ERP systems means that realizing benefits from these implementations is of critical importance to many organizations. Thus, the main aim this research is to develop insights that can help organizations to improve benefits realization from ERP systems. In doing so, this study is not only evaluating the benefits gained by different organizations, but it is also analysing the key activities that are deemed necessary for benefits realization. This research was conducted in two phases to explore the research objectives. The initial phase was conducted with a selection of stakeholders working in the ERP industry to gather insights concerning the adoption of benefits management approaches and the relationship between ERP customization and benefits realization. The second phase comprised of three in depth case studies that investigated the activities that were necessary to realize benefits from ERP projects. The research provides a number of important contributions to the academic literature. With respect to the adoption of benefits management (BM) approaches, this research contributes by providing empirical insights about what organizations are actually doing to manage benefits. More specifically, the study provides evidence to suggest that organizations have an increased chance of realizing benefits if they develop localized BM approaches based on organizational needs and context. This study also highlights the role of organisational change in facilitating the realisation of business benefits, in the context of ERP projects. Another important contribution is an attempt in establishing of relationship between different types of customizations and the resultant benefits. The study also contributes by indicating that organizations, in the very particular context of ERP projects, can identify the additional un planned benefits during the use of the system. This study makes another important new contribution to the literature, by demonstrating the importance of tackling any organizational inhibitors in order to realize maximum benefits at various stages of ERP systems life cycle. Finally, with respect to the evaluation of ERP systems, this research contributes by providing interpretive evaluation of operational ERP systems to explore the process of how benefits were realised, in the participating organizations. It is envisaged that interpretive evaluation will fuel the insights that will maximize the attaining of benefits from ERP implementations.
Research on Particle Swarm Optimization Algorithm Based on Quantum Computing Technology
Year: 2020

In view of the shortcomings of particle swarm optimization such as premature convergence to local optimization, particle swarm optimization algorithm based on quantum gate and particle swarm optimization algorithm based on quantum behavior are studied in this paper. The first algorithm uses the random observation method of quantum bit coding particles to simulate quantum particle collapse for generating a population and uses the quantum rotating gate to generate a new population. The adaptive mutation operator is used for ensuring the diversity of the population, effectively reducing the impact of local optimization; therefore, the robustness of the algorithm is improved. The second algorithm uses the probability density function of quantum computation to make the particles jump out of the local extreme points and fulfils the global search, which is more suitable for continuous optimization. The results of computational experiments show that both the two particle swarm optimization algorithms based on quantum technology have a good global convergence.
Competing Responsibilities: The Ethics and Politics of Contemporary Life
Year: 2017

Noting the pervasiveness of the adoption of "responsibility" as a core ideal of neoliberal governance, the contributors to Competing Responsibilities challenge contemporary understandings and critiques of that concept in political, social, and ethical life. They reveal that neoliberalism's reification of the responsible subject masks the myriad forms of individual and collective responsibility that people engage with in their everyday lives, from accountability, self sufficiency, and prudence to care, obligation, and culpability. The essays which combine social theory with ethnographic research from Europe, North America, Africa, and New Zealand address a wide range of topics, including critiques of corporate social responsibility practices; the relationships between public and private responsibilities in the context of state violence; the tension between calls on individuals and imperatives to groups to prevent the transmission of HIV; audit culture; and how health is cast as a citizenship issue. Competing Responsibilities allows for the examination of modes of responsibility that extend, challenge, or coexist with the neoliberal focus on the individual cultivation of the self. Contributors Barry D. Adam, Elizabeth Anne Davis, Filippa Lentzos, Jessica Robbins Ruszkowski, Nikolas Rose, Rosalind Shaw, Cris Shore, Jessica M. Smith, Susanna Trnka, Catherine Trundle,
Beyond Workflow Mining
Venue: Business Process Management
Year: 2006

In the domain of Business Process Management and Workflow Management Systems, the log of work transactions executed has been found to be a useful artifact. The ideas, work, and literature on workflow mining have been primarily concerned with examining the workflow event log to rediscover control flow. Workflow mining has generally been defined as "the process of extracting a workflow model from a log of executions of activities" In fact, most of the literature specifically and narrowly is concerned with rediscovering the precedence relations amongst activities. It is generally a hidden assumption that all activities are known a priori because they are listed by label in the workflow event log. In this position paper, we explore the possibility of removing this assumption, and thus performing workflow discovery rather than precedence rediscovery. Workflow discovery does not assume that process structure or even activities are known a priori and is concerned with discovering a wholistic perspective of workflow. Workflow management systems are people systems that must be designed, deployed, and understood within their social and organizational contexts. Thus, we argue in this document that there is a need to expand the concept of workflow mining beyond the behavioral perspective to encompass the social, organizational, and activity assignment perspectives; as well as other perspectives. To this end, we introduce a general framework and meta model for workflow discovery, and show one approach to workflow discovery in a multidimensional perspective.
Efficiency of a recreational deer hunting bag limit
Venue: European Journal of Wildlife Research
Year: 2018

Maximisation of aggregate recreational hunter benefits involves managing both the prey and the hunter. The biology of game animals, and hence the supply side of the management situation, is reasonably well understood, but there is relatively little information on the demand side. On public lands, where there is no market to signal the quality of the hunting experience, the game manager has little guidance on how to allocate the resource amongst individual hunters. In New Zealand, there is no attempt to do so. Whilst seeing and killing game are known to enhance individual hunters' benefits, the allocation of the resource across hunters raises the prospect of limiting individual hunter harvests, normally enacted through a bag limit. The benefits of doing so are dependent upon the marginal benefits of different levels of harvest. The relationship between hunter satisfaction and the number of animals killed is explored using data from a longitudinal study of a large panel of deer hunters. Latent class models of satisfaction outperform random parameter models and identify heterogeneous groups of hunters whose satisfaction is differentially dependent on game sightings and harvest. Personal attributes and hunter motivations help explain some of these differences. Heterogeneous and rapidly diminishing marginal satisfaction present a strong case for management of at least part of the open access New Zealand red deer herd to enhance social welfare by increasing the number of hunters harvesting a deer rather than going home empty handed.