Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification and Interpretation of Belief Structure in Dempster-Shafer Theory

Mathematical Theory of Evidence called also Dempster-Shafer Theory (DST) is known as a foundation for reasoning when knowledge is expressed at various levels of detail. Though much research effort has been committed to this theory since its foundation, many questions remain open. One of the most important open questions seems to be the relationship between frequencies and the Mathematical Theory of Evidence. The theory is blamed to leave frequencies outside (or aside of) its framework. The seriousness of this accusation is obvious: (1) no experiment may be run to compare the performance of DST-based models of real world processes against real world data, (2) data may not serve as foundation for construction of an appropriate belief model. In this paper we develop a frequentist interpretation of the DST bringing to fall the above argument against DST. An immediate consequence of it is the possibility to develop algorithms acquiring automatically DST belief models from data. We propose three such algorithms for various classes of belief model structures: for tree structured belief networks, for poly-tree belief networks and for general type belief networks.
The Evolution of Electric Vehicle Lithium Battery Technology : Towards SSI Perspective

This study aims to analyze the development of electric vehicle batteries throughout the theoretical framework ? Sectoral System of Innovation? with consideration three focuses: knowledge and technologies, acts and networks, and institutions. Patent analysis and industrial experts? interview methodologies are utilized to understand the knowledge flow, acts as well as networks evolution, and dynamic institution change of electric vehicle batteries. Three distinct results and insights are provided in the study: 1) Lithium battery is a key technology for electric vehicles throughout patent data analysis. 2) The main acts of lithium battery in a current market correspond with patent owns and patent citations. 3) The structure hole helps understand the resource position and industrial development pattern for electric vehicle battery. The study concludes that the advance of lithium battery technology opens an opportunity window for some new entrants, specifically the battery makers into the supply chain in the automobile industry. Finally, some energy policy implications are offered in the study.
1 Cookies as agents for community membership

When becoming a member of a community of practice, a novice must adopt certain community norms to participate, and these include the social norms of the group. Using the analytical perspective of Legitimate Peripheral Participation in a Community of Practice, this paper explores the social role of cookies as agents for community participation and membership in a physics research group. We analyze data from an ethnographic case study of a physics research group weekly research meeting. The mentors bring cookies to each meeting and view the cookies as a token of appreciation for the graduate students’ work. These cookies take on a subtler role of initiating guests and students into scientific conversations and participation. Via the cookies, members also share personal histories and stories that help members strengthen their membership. The study of social norms in this research group is part of a larger study of physics expert identity development.
Toward Scalable Hierarchical Clustering and Co-clustering Methods : application to the Cluster Hypothesis in Information Retrieval. (Méthodes de regroupement hiérarchique agglomératif et co-clustering, leurs applications aux tests d'hypothèse de cluster et implémentations distribuées)

Comme une methode d’apprentissage automatique non supervise, la classification automatique est largement appliquee dans des tâches diverses. Differentes methodes de la classification ont leurs caracteristiques uniques. La classification hierarchique, par exemple, est capable de produire une structure binaire en forme d’arbre, appelee dendrogramme, qui illustre explicitement les interconnexions entre les instances de donnees. Le co-clustering, d’autre part, genere des co-clusters, contenant chacun un sous-ensemble d’instances de donnees et un sous-ensemble d’attributs de donnees. L’application de la classification sur les donnees textuelles permet d’organiser les documents et de reveler les connexions parmi eux. Cette caracteristique est utile dans de nombreux cas, par exemple, dans les tâches de recherche d’informations basees sur la classification. A mesure que la taille des donnees disponibles augmente, la demande de puissance du calcul augmente. En reponse a cette demande, de nombreuses plates-formes du calcul distribue sont developpees. Ces plates-formes utilisent les puissances du calcul collectives des machines, pour couper les donnees en morceaux, assigner des tâches du calcul et effectuer des calculs simultanement.Dans cette these, nous travaillons sur des donnees textuelles. Compte tenu d’un corpus de documents, nous adoptons l’hypothese de «bag-of-words» et applique le modele vectoriel. Tout d’abord, nous abordons les tâches de la classification en proposant deux methodes, Sim_AHC et SHCoClust. Ils representent respectivement un cadre des methodes de la classification hierarchique et une methode du co-clustering hierarchique, base sur la proximite. Nous examinons leurs caracteristiques et performances du calcul, grâce de deductions mathematiques, de verifications experimentales et d’evaluations. Ensuite, nous appliquons ces methodes pour tester l’hypothese du cluster, qui est l’hypothese fondamentale dans la recherche d’informations basee sur la classification. Dans de tels tests, nous utilisons la recherche du cluster optimale pour evaluer l’efficacite de recherche pour tout les methodes hierarchiques unifiees par Sim_AHC et par SHCoClust . Nous aussi examinons l’efficacite du calcul et comparons les resultats. Afin d’effectuer les methodes proposees sur des ensembles de donnees plus vastes, nous selectionnons la plate-forme d’Apache Spark et fournissons implementations distribuees de Sim_AHC et de SHCoClust. Pour le Sim_AHC distribue, nous presentons la procedure du calcul, illustrons les difficultes rencontrees et fournissons des solutions possibles. Et pour SHCoClust, nous fournissons une implementation distribuee de son noyau, l’integration spectrale. Dans cette implementation, nous utilisons plusieurs ensembles de donnees qui varient en taille pour examiner l’echelle du calcul sur un groupe de noeuds.
consistency of the Selection of the Method of Multiplicative Decision-Making ( Не ) конзистентност избора метода вишеатрибутивног одлучивања Summary

The paper analyzes the main causes of the (in)consistency of the selected method of multiplicative decision-making: data normalization, weight coefficients and the application of the Likert scale for the purpose of measuring quantitative attributes. Normalized data in the methods of multitributive decision making represents the substitute for a subjective attribute ratings by decision makers. Since they are calculated on the basis of mathematical transformations of empirical data, one gains the impression that the choices basen on normalized values are „objective”. Therefore, the sensitivity analysis of the results has dealt exclusively with effects of weight coefficients on the final choices so far, while the potential impact of normalization is complitely ignored; meanwhile, the deformations caused by the normalization of data have been attributed to the effects of weight coefficients and their inevitable subjectivism. We intent to point out at the deformations of empirical values that are the result of normalization and which call into question the application of normalized values as a deci-
Making 3 D Textures Practical

While 2D texture mapping is one of the most powerful rendering techniques that make 3D objects appear visually interesting, it suffers from visual artifacts produced when 2D image patterns are wrapped onto the surface of objects with arbitrary shapes. On the other hand, 3D texture mapping generates highly natural visual effects in which objects appear carved from lumps of materials rather than laminated with thin sheets as in 2D texture mapping. Storing 3D texture images in a table for fast mapping computations, instead of evaluating procedures on the fly, however, has been considered impractical due to the extremely high memory requirements. In this paper, we present a new effective method for 3D texture mapping designed for real-time rendering of polygonal models. Our scheme attempts to resolve the potential texture memory problem arising from the very large size of 3D images by compressing them using a wavelet-based encoding method. The experimental results on various non-trivial 3D textures and polygonal models show that high compression rates are achieved with few visual artifacts in the rendered image and a small impact on rendering time. The simplicity of our compression-based scheme will make it possible to implement practical 3D texture mapping in software/hardware rendering systems including the real-time 3D graphics APIs like OpenGL and Direct3D.
An Evaluation of Successive Pilot Decontamination in Massive MIMO

The demand for higher data rates can be satisfied by the spectral efficiency (SE) improvement offered by Massive multiple-input multiple-output (M-MIMO) systems. However, the pilot contamination remains as a fundamental issue to obtain the paramount SE in such systems. This propitiated the research of several methods to mitigate pilot contamination. One of these procedures is based on the coordination of the cells, culminating in proposals with multiple pilot training phases. This paper aims to expand the results of the original paper, whereby the concepts of large pilot training phases were offered. The evaluation of such method was conducted through more comprehensible numerical results, in which a large number of antennas were assumed and more rigorous SE expressions were used. The channel estimation approaches relying on multiple pilot training phases were considered cumbersome for implementation and an uninteresting solution to overcome pilot contamination; contradicting the results presented in the genuine paper.
Rapid Recommendations : Creating Tools to Support a Revolution in Clinical Practice Guideline Adoption

BMJ rapid recommendations hold the potential to revolutionize clinical practice guidelines, achieving both timeliness, trustworthiness, and usefulness to clinicians and patients to allow well informed decisions in clinical practice. Resume Les recommandations rapides de BMJ ont le potentiel de révolutionner les directives de pratique clinique, en apportant à la fois la rapidité, la fiabilité et l’utilité aux cliniciens et aux patients pour leur permettre de prendre des décisions éclairées en pratique clinique. BMJ Rapid Recommendations: Creating Tools to Support a Revolution in Clinical Practice
Analytical Query Execution Optimized for all Layers of Modern Hardware

Analytical Query Execution Optimized for all Layers of Modern Hardware Orestis Polychroniou Analytical database queries are at the core of business intelligence and decision support. To analyze the vast amounts of data available today, query execution needs to be orders of magnitude faster. Hardware advances have made a profound impact on database design and implementation. The large main memory capacity allows queries to execute exclusively in memory and shifts the bottleneck from disk access to memory bandwidth. In the new setting, to optimize query performance, databases must be aware of an unprecedented multitude of complicated hardware features. This thesis focuses on the design and implementation of highly efficient database systems by optimizing analytical query execution for all layers of modern hardware. The hardware layers include the network across multiple machines, main memory and the NUMA interconnection across multiple processors, the multiple levels of caches across multiple processor cores, and the execution pipeline within each core. For the network layer, we introduce a distributed join algorithm that minimizes the network traffic. For the memory hierarchy, we describe partitioning variants aware to the dynamics of the CPU caches and the NUMA interconnection. To improve the memory access rate of linear scans, we optimize lightweight compression variants and evaluate their trade-offs. To accelerate query execution within the core pipeline, we introduce advanced SIMD vectorization techniques generalizable across multiple operators. We evaluate our algorithms and techniques on both mainstream hardware and on many-integrated-core platforms, and combine our techniques in a new query engine design that can better utilize the features of many-core CPUs. In the era of hardware becoming increasingly parallel and datasets consistently growing in size, this thesis can serve as a compass for developing hardware-conscious databases with truly high-performance analytical query execution.
No-Reference Quality Assessment for OCR’d Documents

This thesis deals with predicting quality of a text document that has been generated by an OCR system. As OCR systems are prone to make mistakes while converting an imaged document to machine readable form, this research concerns with finding errors in an OCR’d text and classify the OCR document accordingly. So far OCR community has dealt with this problem by following either of these two methods: (i) manual labeling of the errors or (ii) comparing the OCR’d document against the true text file. Manual counting of errors is infeasible in commercial situation whereas the true text file if often not available to compare with. This work attempts to develop methods for automatic prediction of OCR’d documents under no-reference condition. Bengali has been taken as the reference language. Use of lexicons and language models has been explored in several directions. Experiment with a large corpus of OCR’d documents shows that a lexicon based approach coupled with a suitable edit distance measure could be a viable method for no-reference quality assessment of OCR’d documents.
ould the service consumption-production interface lift national ogistics performance ?

This research contains a four layer framework which aims to identify the performance factors. The proposed model is tested and validated by 43 samples data by using variance-based SEM approach (PLS). It extends the body of research in integration and sustainable supply chain management. The four layers contain the integration factors, inland depot service quality, hauliers firms’ sustainable performance and national logistics performance. A questionnaire survey and two expert groups were deployed. Survey respondents were managers of haulage companies which made up 30% of the 140 active companies. Annual revenue for a firm ranges from Ringgit Malaysia 1.25 million to 5 million. Each firm made an aver-
WYOUNG: Stata module to perform multiple testing corrections

wyoung controls the family-wise error rate when performing multiple hypothesis tests by estimating adjusted p-values using the free step-down resampling methodology of Westfall and Young (1993). See also Jones, D. , D. Molitor, and J. Reif. 2018. "What Do Workplace Wellness Programs Do? Evidence from the Illinois Workplace Wellness Study. " National Bureau of Economic Research Working Paper No. 24229.
Novel Single Nucleotide Polymorphisms ( SNPs ) in the 5 ' UTR of Bovine Heat Shock Protein 70 ( bHSP 70 ) Gene and its association with Service per Conception ( S / C ) of Pasundan cattle

Said S, Putra WPB. 2018. Short Communication: Novel Single Nucleotide Polymorphisms (SNPs) in the 5'UTR of Bovine Heat Shock Protein 70 (bHSP70) Gene and its association with Service per Conception (S/C) of Pasundan cattle. Biodiversitas 19: 16221625. Heat stress in the livestock reduces reproductive traits, including of service per conception (S/C). The influence of heat stress in livestock can be handled through molecular selection. One of the candidate genes that is affecting heat stress tolerance is Bovine Heat Shock Protein 70 (bHSP70) gene. This research was carried out to detect the single nucleotide polymorphism (SNPs) in the 5'UTR of bHSP70 gene from 44 heads of Pasundan cows at breeding station (BPPIBT-SP Ciamis, West Java). Research showed that 18 SNPs were detected with sequencing method. The insertion mutation was detected in all animal studied and occurred at position between g.1112 and g.1113. The moderate of polymorphic informative content (PIC) were detected in two SNPs of g.1117G/A and g.1125A/C. Preliminary analysis showed that haplotype of two homozygote genotype combination from both SNPs had better of S/C value of than the others (P<0.01). Moreover, the average of S/C value in heterozygote genotype seems higher than homozygote genotype. However, the further research for clarification of this research results through large number of observation is important. It was concluded that two SNPs of g.1117G/A and g.1125A/C are potential as marker-assisted selection (MAS) for reproductive traits in Pasundan cows because of moderate PIC value.
User Association and Enabling Technologies in Next Generation 5 G Ultra-Dense Networks – A Review

Embedding small cells and relay nodes in a macrocellular network is a promising method for achieving substantial gains in coverage and capacity compared to traditional macro only networks. These new types of base-stations can operate on the same wireless channel as the macro-cellular network, providing higher spatial reuse via cell splitting. However, these base-stations are deployed in an unplanned manner, can have very different transmit powers, and may not have traffic aggregation among many users. This could potentially result in much higher interference magnitude and variability. Hence, such deployments require the use of innovative cell association and inter-cell interference coordination techniques in order to realize the promised capacity and coverage gains. In this paper, we review various techniques for user association and interference mitigation which are required to meet increased data demand in next generation 5G ultra-dense network.
mpact of mass migrations on the clonal variation of clinical taphylococcus aureus strains isolated from the Western egion of Saudi Arabia brahim

Objectives: A rapid molecular typing system was used to determine the impact of mass migration on the clonal variation of Staphylococcus aureus isolates recovered from King Abdulaziz University Hospital (KAUH) Jeddah, in the western region of Saudi Arabia. This region experiences an annual influx of millions of pilgrims. Methods: SmaI-multiplex PCR typing (SMT) was used for the initial analysis of strains and the resulting data subsequently supported by Multi-Locus Sequence Typing (MLST). Results: A total of 89 S. aureus isolates were SMT typed and revealed a high degree of genetic variation, with 40 SMT profiles detected among the isolates. Representatives of all forty SMT types were subsequently analysed by MLST, identifying 26 sequence types. A novel sequence type (ST), named ST3303, was identified in two methicillin-sensitive S. aureus (MSSA) isolates. MSSA strains exhibited more diversity than methicillin-resistant S. aureus (MRSA) strains, with community acquired MSSA and MRSA strains reaching alarmingly high levels. Conclusion: The relatively high degree of genetic diversity found among S. aureus isolates of single hospital was attributed to the fact that Jeddah is the principal gateway to Mecca, visited each year by millions of pilgrims from many countries. The observed diversity clearly reflects the impact of such mass migrations in the rapid dissemination of strains world-wide. Our findings suggest the importance of surveillance programmes in locations affected by mass migrations, both to monitor their impact on endemic strains and for the detection of pandemic strains. SMT provides a cost-effective and sensitive typing method for achieving this objective. © 2018 The Authors. Published by Elsevier Limited on behalf of King Saud Bin Abdulaziz University for Health Sciences. This is an open access article under the CC BY-NC-ND license (http://
The identity concept for Muslim Hungarians and Muslim immigrants in Hungary

UNESCO World Heritage Site; Sociology and Intangible Heritage; Architecture; Photography and Communication; Museology; Industrial and Technical Heritage; Conservation and Restoration; Archaeology; History of Art and New Technologies Applied to Heritage. These were the themes of the ‘Ten Visions of Cultural Heritage’ sessions, held between November 2016 and November 2017 in the city of Évora (Portugal), which was classified as a UNESCO World Heritage Site in 1986. This activity comprised a series of cultural meetings focused on sharing experiences and disseminating knowledge on themes related to cultural heritage. Ten months, ten themes to promote culture and heritage, and ten different places (some of which are usually closed to the public) opened their doors to celebrate the 30 anniversary of theclassification of Évora as a World Heritage Site byUNESCO.
Necessity is the Mother of Invention: Rise of Creativity due to Constraints

Due to its unique nature, creativity it is an inseparable part of an innovative outcome. While creativity and innovation are significant indicators of organizational present and future success, it is reasonable to introduce an organizational approach to promote both phenomena. Since work environment is rarely abundant, a very special way of enhancing creativity is discussed and analyzed, known as “less is more”. This novel view refers to the ability of demonstrating creative thinking under a restriction of the favorable conditions. The prior interest of this Bachelor’s thesis is to reflect the possible positive impact of scarcity of time, budget, and monitoring on the level of creativity. Constraint-based creativity is indeed a real-life phenomenon, though limitations alone may rarely provide an enhancement of creative thinking and thus require supplementary effects. Keywords: Constraints, Creativity, Innovation, Scarcity, Invention
Music Improvisation as an Aesthetic Event Towards a transactional approach to meaning-making

Improvisation in general music education is still a somewhat underdeveloped practice. Moreover, attempts to justify its place in the curriculum have often focused solely on its (measurable) outcomes. In this article, we claim that a deeper understanding of students’ meaning-making processes in experiences of improvisation is necessary in order to develop improvisation practice and research. The purpose of this article is to offer a music education perspective on improvisation based on John Dewey’s transactional perspective on aesthetic experience and meaning-making. Related to this, we suggest and illustrate a Practical Epistemology Analysis (PEA) as a way of analysing meaning-making in music improvisation within general music education. The method of analysis is illustrated by vignettes from video analyses of music lessons in two Swedish schools with pupils aged 9-10 and their free improvisations. The vignettes show how PEA enables analyses of situated meaning-making in the progress of the pupils’ improvisation activities. Further, the transactional perspective makes educational values of improvisation visible, such as musical and personal agency, and elucidates cognitive, embodied and ethical aspects of musical meaning-making.