nils-herrmann/clean_scirepeval huggingface dataset:
Natural biotic resources in LCA: Towards an impact assessment model for sustainable supply chain management
Venue: Journal of cleaner production
Year: 2018

Natural resources, biotic and abiotic, are fundamental from both the ecological and socio economic point of view, being at the basis of life support. However, since the demand for finite resources continues to increase, the sustainability of current production and consumption patterns is questioned both in developed and developing countries. A transition towards an economy based on biotic renewable resources (bio economy) is considered necessary in order to support a steady provision of resources, representing an alternative to an economy based on fossil and abiotic resources. However, to ensure a sustainable use of biotic resources, there is the need of properly accounting for their use along supply chains as well as defining a robust and comprehensive impact assessment model. Since so far naturally occurring biotic resources have gained little attention in impact assessment methods, such as life cycle assessment, the aim of this study is to enable the inclusion of biotic resources in the assessment of products and supply chains. This paper puts forward a framework for biotic resources assessment, including: i) the definition of system boundaries between ecosphere and technosphere, namely between naturally occurring and man made biotic resources; ii) a list of naturally occurring biotic resources which have a commercial value, as basis for building life cycle inventories (NOBR, e.g. wild animals, plants etc) iii) an impact pathway to identify potential impacts on both resource provision and ecosystem quality; iv) a renewability based indicator (NOBRri) for the impact assessment of naturally occurring biotic resources, including a list of associated characterization factors. The study, building on a solid review of literature and of available statistical data, highlights and discusses the critical aspects and paradoxes related to biotic resource inclusion in LCA: from the system boundaries definition up to the resource characterization.
Energy and exergy analyses of various typical solar energy applications: A comprehensive review
Year: 2018

The overuse of fossil fuels in real life applications has caused their rapid depletion and fast climate change due to global warming and thus access to eco friendly energy resources has become essential to meet the growing demand of clean energy. With this view, solar energy has proven to be an effective alternative and clean source of energy for the sustainable development of the society worldwide. Solar energy is a cheap, abundant and everlasting source of renewable energy and thus it can be integrated with different systems deals with energy consumption to overcome the dependency of present society on conventional fuels. Such integration of solar energy has given an opportunity for several studies based on the energy and exergy approaches. The energy analysis is very crucial in the study of process effectiveness while the exergetic analysis is another important tool to investigate the realistic behaviour of process involving various energy losses and internal irreversibility. The main objective of this article is to bring out valuable recommendations for wide exploitation of solar energy systems for different applications, from a thermodynamics perspective. Therefore, the present article has summarized the previous findings on energy and exergy analyses of different solar energy systems (solar drying, solar air conditioning and refrigeration, solar water heating, solar cooking and solar power generation through solar photovoltaic and concentrated solar power techniques used for various heat and power generation applications)
Academic Misconduct among Business Students: A Comparison of the US and UAE
Year: 2014

A survey of 345 undergraduate business students from a medium sized southeastern regional university and 164 undergraduates from a medium sized university in the United Arab Emirates found that 71 of all respondents admitted to academic misconduct in a recent 1 year period, a percentage similar to McCabe's (2005) finding that an average of 70 of undergraduate students admitted to recent academic misconduct. Business students from the Middle East were significantly less likely to perceive various academic misconduct behaviors as forms of serious cheating compared to business students from the US. Hofstede's (2001) cultural dimension of individualism/collectivism and Ajzen's (Organizational Behavior and Human Decision Processes 50, 179 211, 1991) theory of planned behavior are discussed as likely explanations of reported academic misconduct differences between the two countries.
Analysis of environmental conditions on the performances of autonomous driving algorithms
Year: 2019

In the last years autonomous driving has been, and continues to be nowadays, one of the most trending topics in the automotive environment. The progress performed in that field is continuously growing, also thanks to a huge amount of investments done by all the main car manufacturers. Vision systems play a key role into this process of driving automation, that's why during this work two of them will be accurately analyzed through a validation procedure that allows to evaluate their limits and the main critical issues depending on the environmental conditions. The two systems that will be analyzed are: a lane detection system (fundamental to perform autonomous lane keeping) and an object detection system (needed for a lot of functions like the automatic braking or the recognition of road signs) The choice of these two systems is mainly due to the fact that they perform some of the most important tasks needed for autonomous driving. The lane detection system has been implemented in Matlab(r) using the same working principle of the GOLD system developed by Massimo Bertozzi and Alberto Broggi. The object detection system, instead, is YOLOv3, which is the most powerful algorithm for object detection in real time currently available. It is based on neural networks and has been developed by Joseph Redmond et al. The validation procedure has been done through a series of tests performed using a specific dataset for each system. Each dataset has been developed taking into account the following parameters: lighting condition, presence of defects and weather conditions. The main aim of this work is to evaluate how and if these parameters influence the level of performance, in order to understand what must be improved and what, instead, has reached a sufficient level of maturity. The results of this analysis shown a certain level of robustness for both the systems, especially for YOLOv3, however also some weaknesses have been discovered. The lane detection system gave bad results in roads with unclear or colored road markings, moreover, bad weather conditions and macro defects leaded to a significant performance degradation. For what concerns YOLOv3, it shown to have a higher level of robustness in every condition, detecting most of the objects even with low resolution input images. The parameter that influenced most significantly the performances are the lighting conditions, which leaded every time to a worsening of the results.
Negative Religious Rhetoric in the Lives of Black Cisgender Queer Emerging Adult Men: A Qualitative Analysis
Venue: Journal of homosexuality
Year: 2017

Given the intersection of racial, religious, and sexual identities for Black queer populations, the current study examines sexuality related religious rhetoric. Twenty Black cisgender queer men were recruited to participate in a qualitative interview. Using thematic analysis, the research team identified four themes: negative religious rhetoric, personal consequences of negative religious rhetoric, social consequences of negative religious rhetoric, and growth from negative religious rhetoric. Participants explained the pervasiveness of negative religious rhetoric within their churches and family structures. Men also conveyed how negative religious rhetoric frames societal ideologies around same sex behavior, often condoning violence toward queer populations. Although men had negative experiences, participants articulated the importance of using oppression as a platform for growth. Black cisgender queer men are present within religious institutions; however, such negative religious rhetoric may negatively affect their mental and physical health. Researchers, clinicians, and clergy should consider the ways negative religious rhetoric marginalizes queer populations.
Uni versidade multi versa? Reflexoes sobre a formacao de professores do curso de Licenciatura em Pedagogia do Campo no distrito de Caramujo, Caceres/MT
Year: 2017

The present text has the objective of provoking reflections about an experience lived in the Pedagogy of the Countryside undergraduate course, offered in the modality of installments, in the district of Caramujo, located in the city of Caceres/MT. The experience occurred in 15 days of classes taught in the discipline of Management and Policies of Rural Education that occurred in March 2016. We developed a dialogue about the University, Rural Education and teacher formation from these experiences. For the writing of this text, the stories of academics available in the reflective memorial adopted as an evaluation reflexive criterion were used. The same was used to start the classes, and also, in the course of the reflections, served as an instrument of dialogue between teacher academics and academic academics. It was important because it allowed the understanding of some concepts that involve the Rural Education and to think about the relation between the life histories and the absence/presence of the school of/in the countryside.  University, Teacher of Formation, Rural Education, Pedagogy of the Countryside.  University, Teacher of Formation, Rural Education, Pedagogy of the Countryside.
Influence of person organization fit on turnover intention of medical staff: a case study of 9 public hospitals in the Pearl River Delta
Year: 2019

To examine the impact of person organization fit(P O fit)on turnover intention of medical staff and examine the mediating role of job involvement between P O fit and turnover intention of medical staff.  The basic research hypothesis was obtained by combing the relationship among three variables of P O fit, job involvement and turnover intention of medical staff.A questionnaire survey was conducted among 408 medical staff at 9 general public hospitals in the Pearl River Delta from July to August 2018.The contents of survey were as follows: the match between such factors as medical staff values, culture, personal ability and hospital, as well as turnover intention and job involvement of medical staff.The structural equation model was constructed by Amos 20.0, and the relationship between variables was analyzed.  The path coefficients between the three variables were 0.436(P<0.001) 0.281(P<0.05) 0.544(P<0.001) respectively.The total effect value and intermediate effect value were 0.470, 0.082, respectively.P O fit was positively related to job involvement.P O fit and job involvement were negatively related to turnover intention of medical staff.Job involvement partially mediated the relationship between P O fit and turnover intention.  In order to reduce the turnover intention of medical staff, hospitals must pay attention to the match of values, culture and personal ability between medical staff and hospitals, establish a match evaluation mechanism between medical staff and hospitals, create good working conditions and atmosphere for medical staff, and encourage medical staff to work harder.  Personnel administration, Hospital; Person organization fit; Job involvement; Turnover intention
Sekolah Nukleus implementation of HOTs in the language classroom
Year: 2017

In line with Institut Pendidikan Guru Kampus Ilmu Khas" (IPGKIK) designation as Pusat Kecemerlangan Kemahiran Berfikir, a series of Cetusan KBAT 2 workshops on Higher Order Thinking Skills (HOTs) was conducted in a primary school in Kuala Lumpur for the English language teachers who were also participants of this research. As a sequel, three more sessions of training were carried out to provide further guidance and support to the teachers. This study investigated the implementation of HOTs in the language classroom. It also examined the teachers" confidence in implementing HOTs in the language classroom. Employing a qualitative method approach, data was collected using a semi structured interview, video recording and an observation checklist. In the interview, the participants claimed that they know how to implement Higher Order Thinking Skills (HOTs) through questioning technique. However, during the observation, the use of Lower Order Thinking Skills (LOTs) questions dominated the lesson. The study also revealed that participants had the tendency to use i THINK maps in their lessons but lacked conceptual understanding of the correct usage of the maps. The findings further indicated that the participants had differing levels of confidence in implementing HOTs in their lessons. Knowledge of HOTs seemed to be the factor that influenced these levels of confidence. The results would imply the need to further train teachers in incorporating HOTs in class.
Improving protein protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model
Venue: Protein science a publication of the Protein Society
Year: 2016

Predicting protein protein interactions (PPIs) is a challenging task and essential to construct the protein interaction networks, which is important for facilitating our understanding of the mechanisms of biological systems. Although a number of high throughput technologies have been proposed to predict PPIs, there are unavoidable shortcomings, including high cost, time intensity, and inherently high false positive rates. For these reasons, many computational methods have been proposed for predicting PPIs. However, the problem is still far from being solved. In this article, we propose a novel computational method called RVM BiGP that combines the relevance vector machine (RVM) model and Bi gram Probabilities (BiGP) for PPIs detection from protein sequences. The major improvement includes (1) Protein sequences are represented using the Bi gram probabilities (BiGP) feature representation on a Position Specific Scoring Matrix (PSSM) in which the protein evolutionary information is contained; (2) For reducing the influence of noise, the Principal Component Analysis (PCA) method is used to reduce the dimension of BiGP vector; (3) The powerful and robust Relevance Vector Machine (RVM) algorithm is used for classification. Five fold cross validation experiments executed on yeast and Helicobacter pylori datasets, which achieved very high accuracies of 94.57 and 90.57% respectively. Experimental results are significantly better than previous methods. To further evaluate the proposed method, we compare it with the state of the art support vector machine (SVM) classifier on the yeast dataset. The experimental results demonstrate that our RVM BiGP method is significantly better than the SVM based method. In addition, we achieved 97.15% accuracy on imbalance yeast dataset, which is higher than that of balance yeast dataset. The promising experimental results show the efficiency and robust of the proposed method, which can be an automatic decision support tool for future proteomics research. For facilitating extensive studies for future proteomics research, we developed a freely available web server called RVM BiGP PPIs in Hypertext Preprocessor (PHP) for predicting PPIs. The web server including source code and the datasets are available at http:/219.219.62.123:8888/BiGP/
Mechanical Bonding of Aluminum Hybrid Alloy Systems through High Pressure Torsion
Venue: Advanced Engineering Materials
Year: 2019

The present study demonstrates an innovative approach of utilizing high pressure torsion (HPT) processing for the mechanical bonding of dissimilar metals during the microstructural refinement process. This processing approach has been developed recently for introducing unique alloy systems with improving physical and mechanical properties. Accordingly, the present study focuses specifically on the microstructural evolution and development in micro mechanical responses in the mechanically bonded Al Mg and Al Cu hybrid alloy systems when synthesized by HPT processing for very high number of turns up to 60 under 6.0 GPa at room temperature. The microstructural and hardness evaluations confirm the capability of the HPT procedure for the formation of heterostructures with extreme hardness at the disk peripheries and with low hardness at the disk centers in these processed alloy systems. Nanoindentation measurements demonstrate that both hybrid alloy systems exhibit excellent plasticity at the disk edges, where the hardness is the highest. There is a considerable potential for applying the solid state reaction through the HPT process for the bonding of dissimilar metals as a manufacturing technique and for the development of hybrid alloy systems.
Emotions Explication in the Text and the Film Text: Intersemiotic Translation of the Novel Perfume. The Story of a Murderer by Patrick Suskind
Year: 2017

The results of the study, connected with the current interdisciplinary problem, which is the visualization of the culture, are described in the article. On the example of the novel by the German writer P. Suskind Perfume. The History of a Murderer (Patrick Suskind, Das Parfum. Die Geschichte eines Morders) and the Germanlanguage version of the film directed by Tom Tykwer the possibilities of conveying the content of the verbal text in other semiotic systems are studied. The means of explication of emotions associated with the implementation of the concept of "smell," which presents the plot forming function in the novel, is the object of the article. With the use of the concept of "intersemiotic translation" in a communicative aspect, different ways of transforming the text of a literary work into a cinema text are identified through visual possibilities in the reproduction of the emotional space of the novel. It is established that in the process of creation of the film version of the novel (polysemiotic system) the techniques of the verbal text transformation are used, similar to the methods of translation within the boundaries of one (verbal) semiotic system: compression, permutation, manifested in the form of paraphrasing, and modulation as an adequate replacement and explanatory translation. It is shown that the means of expressing emotions, used for intersemiotic translation, are meaningfully adequate to the verbal means used in the literary work.
Ten Years of Pathway Analysis: Current Approaches and Outstanding Challenges
Venue: PLoS Comput. Biol.
Year: 2012

Pathway analysis has become the first choice for gaining insight into the underlying biology of differentially expressed genes and proteins, as it reduces complexity and has increased explanatory power. We discuss the evolution of knowledge base driven pathway analysis over its first decade, distinctly divided into three generations. We also discuss the limitations that are specific to each generation, and how they are addressed by successive generations of methods. We identify a number of annotation challenges that must be addressed to enable development of the next generation of pathway analysis methods. Furthermore, we identify a number of methodological challenges that the next generation of methods must tackle to take advantage of the technological advances in genomics and proteomics in order to improve specificity, sensitivity, and relevance of pathway analysis.
Conceptualizing curriculum differentiation in higher education: a sociology of knowledge point of view
Year: 2013

Sociologists of education rooted in social realism have for more than a decade argued that knowledge matters in education, there are different kinds of knowledge, not all forms of knowledge are equal and that these differentiations have significant implications for curriculum. While this argument has made an important contribution to both theoretical and policy debate, the implications for curriculum have not been sufficiently addressed. In other words, a theory of differentiated knowledge has not translated into an adequate theory of differentiated curriculum. Drawing on Basil Bernstein's work on knowledge differentiation and Karl Maton's Legitimation Code Theory, this paper offers an empirically derived emerging framework for conceptualizing differentiated higher education curricula with a particular interest in occupationally and professionally oriented curricula. The framework illuminates the principles underlying curriculum differentiation, thus enabling a richer conversation about epistemological access and progression.
Short text classification based on semi supervised learning
Year: 2012

With the rapid development of world wide web,there are more and more short texts emerging on the Web,such as abstract of paper,twitter and email.They are short,keeping links with each other,and there are only a small set of labeled instances available.For the sake of classifying the short text,we present a new method named semi supervised learning based iterative classification algorithm(SS ICA),which has the ability to classify the instances with a small set of labeled instances iteratively.Experiment indicates that SS ICA significantly increases accuracy when compared to other traditional methods on small training set.
Well Being and Social Media: A Systematic Review of Bergen Addiction Scales
Venue: Future Internet
Year: 2020

Does social media addiction impair the well being of non clinical individuals? Despite the Internet being able to be considered as a promoting factor for individual empowerment, previous literature suggests that the current massive availability of Information and Communication Technologies (ICT) may be dangerous for users' well being. This article discusses the relationship between the most used social media addiction measures (i.e. the Bergen Facebook Addiction Scale BFAS, the Bergen Social Media Addiction Scale BSMAS) and well being. A systematic review considering all the publications indexed by PsycInfo, PsycArticles, PubMed, Science Direct, Sociological Abstracts, Academic Search Complete, and Google Scholar databases was performed to collect the data. Ten of 635 studies were included in the qualitative synthesis. Overall, most of the included works captured a negative but small relationship between BFAS/BSMAS and well being, across multiple definitions and measurement.
\varepsilon $e Mnets: Hitting Geometric Set Systems with Subsets
Venue: Discret. Comput. Geom.
Year: 2017

The existence of Macbeath regions is a classical theorem in convex geometry (Macbeath in ) with recent applications in discrete and computational geometry. In this paper, we initiate the study of Macbeath regions in a combinatorial setting and establish near optimal bounds for several basic geometric set systems.