Miracle-dz/UniFAR-FTUs huggingface dataset:
An algorithmic Framework for Multiresolution based non-parametric Regression

We study a method to solve non-parametric regression problems in one and two dimensions with statistical multiresolution estimation. We present the non-parametric regression problem, then introduce the multiresolution norm and use it to formulate the optimization problem. We will discuss two different regularization terms, a quadratic regularization term and a total variation term. We will solve the quadratic problem in both one and two dimensions. In order the solve this problem in one dimension, we use the ADMM (alternating direction method of multipliers) and Dykstra’s projection method. For the two dimensional case, we use the Douglas-Rachford method. We will consider the total variation problem only in two dimensions. To solve the total variation problem we use the Douglas-Rachford method and Chambolle’s projection method. Towards the end, we will verify and test the algorithms numerically.
Impact Study of DAAI TV Humanistic Broadcasting: Stories of Two Families

This study was inspired by the finding of the previous research that is related to positive impact in viewers’ life after watching anti mainstream television shows. The television show is broadcasted by television channel which committed to show humanistic program which has the value of grateful, dutiful to parents as obligation, empathy for others without discrimination and caring character to environment. This research subject are loyal viewers of private television in Indonesia. The research method used is a case study where the researcher become the main instrument in conducting this research. The other instruments are field notes, observation result, documentation, and in-depth interviews. Research result shows that television channel namely DAAI TV give positive impact to viewers, such as being a grateful person, dutiful to parents, being a person who benefits other byvolunteering for the community and has the character who love environment.
Big Data Analytics in Biometrics and Healthcare

Big Data analytics has been used in biometric systems and healthcare. Biometrics is a powerful tool used in healthcare for identification, insurance, and management, etc. There are many computational resources on the cloud, which makes the cloud a strong platform for biometric systems, healthcare systems, and Big Data analytics. Big data, Big Data analytics, and general information security and privacy in big data are presented in this paper. Cloud computing in biometric systems, Big Data analytics in biometrics, and Big Data analytics in healthcare are also presented. The challenges of biometric data on the cloud and the challenges of Big Data analytics in healthcare are discussed.
Prise en compte de différents modes de défaillance des composants réseau dans l'évaluation de la fiabilité des transmissions

Ce papier presente une methode originale pour obtenir une expression analytique de la fiabilite d'une transmission de donnees entre deux terminaux d'un systeme en reseau dans lequel les composants peuvent comporter plusieurs modes de defaillance et ou certaines de ces defaillances peuvent se propager a des composants adjacents. Cette contribution est illustree sur une architecture typique des systemes critiques ; la comparaison a une approche classique, dans laquelle un seul mode de defaillance est retenu et la propagation des defaillances est ignoree, permet de montrer les benefices que procure cette proposition.
Relationship‐based leadership: Current trends and future prospects

Publisher's copyright statement: This is the accepted version of the following article: Martin, R. , Epitropaki, O. , Erdogan, B. Thomas, G. (2019). Relationship based leadership: Current trends and future prospects. Journal of Occupational and Organizational Psychology 92(3): 465-474 which has been published in nal form at https://doi.org/10.1111/joop.12286. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
Learning to Rank for Semantic Search

PageRank, one of the most important algorithms in information retrieval, was developed to give an estimate of how many users are likely to be visiting a given page on the web at a given moment. This way PageRank gives an approximation of the popularity of a page. Because semantic web resources can be represented in a RDF graph it is easy to adapt the original PageRank algorithm to rank these resources; and indeed much previous work has been done in this direction. However there are important differences between an RDF graph and a graph composed by web pages and hyperlinks. This paper explores to what extent PageRank and other domain and query-independent features can approximate the popularity of a resource in the semantic web. Moreover we study how these features can be combined to derive more robust ranking models. We did our study on DBpedia and Yago, two knowledge bases where the resources have one-to-one mappings to Wikipedia articles. For popularity of a resource we used the Wikipedia access logs as a golden standard.
The relationship between developmental assets and well-being in adolescent female students in Yazd, Iran

Introduction: This study aimed to investigate the relationship between developmental assets and well-being in adolescent female students. Method: This was a descriptive-analytical cross-sectional study conducted in 2018 in Yazd, Iran. A total of 573 female students were selected through cluster sampling method with a mean age of 15.42 years (SD = 1.82). The Developmental Assets Profile was used to measure developmental assets and the EPOCH questionnaire was applied to measure well-being. Descriptive statistics, tests of correlation and regression were used to analyze data. Results: The results showed that most of the developmental assets experienced by the Iranian adolescent girls were in the moderate range. In this regard, the lowest scores were related to constructive use of time and in the community context. The overall scores of subjective well-being reported by study participants were in the good range. Findings showed that constructive use of time, commitment to learning, and positive values explained 25% of engagement. Commitment to learning, social competencies, and positive identity predicted 44% of perseverance. Empowerment and positive identity explained 41% of optimism. Support, empowerment, boundaries and 10 expectations, commitment to learning, positive values, social competencies and positive identity predicted 36% of connectedness, and finally, support, empowerment, constructive use of time, commitment to learning, and positive identity predicted 37% of happiness. Conclusion: The design and implementation of interventions for nurturing developmental assets in adolescents can be considered as a step towards the development and empowerment of well-being in them.
A Case Study on Week without Walls (WWW) in UiTM Negeri Sembilan: Critical Reading and Creative Writing beyond the Second Language Classrooms

Teaching and learning critical reading and creative writing in the second language have gone beyond the four walls of classrooms and language classrooms. Apart from flipped classrooms, where lessons and assignments can be conducted and done during weekends, public holidays and festive breaks, Universiti Teknologi MARA has moved another step in implementing Week without Walls (WWW) where students learn in a less structured way outside the classrooms. Qualitative method namely case study is used to design the research methodology for this study. The focus on the case study is to see how learning is demonstrated through the use of social media. The case study on diploma and degree students from three faculties found that WWW has increased motivation and interest in teaching and learning of second language reading and writing. Other than using the usual teaching videos, notes on the online platform, students are asked to read Reader’s Digest magazines and post a caption of an interesting article or activity they have read on the social media. Using social learning theory, analysis of the students’ narratives on social media postings reveal that given the freedom to demonstrate their learning experience, students can be creative by posting pictures and videos of what they have read on their social media and realize that learning is not just for assessments.
Wayverb: A Graphical Tool for Hybrid Room Acoustics Simulation

Acoustic simulation aims to predict the behaviour of sound in a particular space. These simulations can be carried out on commodity computing hardware, and are faster, cheaper, and more convenient than building and recording a physical space. This is useful to architects, who need to know that their designs will meet exacting specifications before building starts. It is also useful to musicians and sound designers, who can use the simulation results to create pleasing, precise, and immersive audio effects. Currently, users are limited in their choice of simulation software, as existing solutions focus either on speed or on overall accuracy. Fast simulation techniques are often inaccurate at low frequencies, while more accurate techniques become prohibitively slow at higher frequencies. There is a clear need for a program which is fast, accurate at all frequencies, and easy to use without specialist training. This project identifies a hybrid acoustic simulation technique which combines the efficiency of geometric simulation with the accuracy of wave-based modelling. This fusion of simulation techniques, not available in any existing piece of simulation software, gives the user the flexibility to balance accuracy against efficiency as they require. This hybrid method is implemented in the Wayverb program. The program is made free and open-source, with a simple graphical interface, differentiating it from hybrid simulators found in the literature which are all private and closed-source. In this way, Wayverb is uniquely accurate, efficient, and accessible. Rather than presenting an entirely new simulation method, the Wayverb project surveys algorithms from the literature, employing those which are deemed most appropriate. It focuses on issues of practical implementation. In particular, for increased performance, Wayverb uses graphic hardware to accelerate calculations via parallelisation. Test data is presented to demonstrate accuracy. The Wayverb program demonstrates that the hybrid method is efficient enough to be viable in consumer software, but testing reveals that simulation results are not directly ready for production usage. The differing properties of the wave-based and geometric methods can result in different onset and decay times in the upper and lower regions of the output spectrum, which reduces the perceived quality of the output despite increased low-frequency accuracy. Avenues for further research are suggested in order to improve the quality and usability of the software.
Using automated algorithm configuration to improve the optimization of decentralized energy systems modeled as large-scale, two-stage stochastic programs

The optimization of decentralized energy systems is an important practical problem that can be modeled using stochastic programs and solved via their large-scale, deterministic equivalent formulations. Unfortunately, using this approach, even when leveraging a high degree of parallelism on large high-performance computing (HPC) systems, finding close-to-optimal solutions still requires long computation. In this work, we present a procedure to reduce this computational effort substantially, using a stateof-the-art automated algorithm configuration method. We apply this procedure to a well-known example of a residential quarter with photovoltaic systems and storages, modeled as a two-stage stochastic mixed-integer linear program (MILP). We demonstrate substantially reduced computing time and costs of up to 50% achieved by our procedure. Our methodology can be applied to other, similarly-modeled energy systems.
A No-Arbitrage Analysis of Economic Determinants of the Credit Spread Term Structure

This paper presents an internally consistent analysis of the economic determinants of the term structure of credit spreads across different credit rating classes and industry sectors. Our analysis proceeds in two steps. First, we extract three economic factors from 13 time series that capture three major dimensions of the economy: inflation pressure, real output growth, and financial market volatility. In the second step, we build a no-arbitrage model that links the dynamics and market prices of these fundamental sources of economic risks to the term structure of Treasury yields and corporate bond credit spreads. Via model estimation, we infer the market pricing of these economic factors and their impacts on the whole term structure of Treasury yields and credit spreads. ; Estimation shows that positive inflation shocks increase both Treasury yields and credit spreads across all maturities and credit rating classes. Positive shocks on the real output growth also increase the Treasury yields, more so at short maturities than at long maturities. The impacts on the credit spreads are positive for high credit rating classes, but become negative and increasingly so at lower credit rating classes. The financial market volatility factor has small positive impacts on the Treasury yield curve, but the impacts are strongly positive on the credit spreads, and increasingly so at longer maturities and lower credit rating classes. ; Finally, when we divide each rating class into two industry sectors: financial and corporate, we find that with in each rating class, the credit spreads in the financial sector are on average wider and more volatile than the spreads in the corporate sector. Estimation further shows that the term structure of credit spreads in the financial sector is more responsive to shocks in the economic factors.
Psychological Research on Personal Innovativeness: Typological Approach

A holistic view of the innovation personality will allow a deeper understanding of the nature of innovativeness as a personal characteristic, which is reflected in the readiness for intensive activity in the uncertain future due to the ability to create new products and the desire for their practical application. The style of innovative thinking varies depending on the psychological type of personality. To identify the relationship between innovativeness and the characteristics of a certain activity, the results of the empirical study in which the test subjects developed a new product using the Method of Focal Objects (MFO) are
Comparison of table tennis serve and return characteristics in the London and the Rio Olympics

ABSTRACT The aim of this study was to evaluate the changes in table tennis serves and return of serves between the London (2012) and Rio (2016) Olympic Games. The sample consisted of 30 matches corresponding to 60 player-games with 3,009 serves and 2,961 returns from rounds four to finals. Notational analyses were conducted to examine the stroke positions, ball placements, and stroke efficacies for serves and returns as well as stroke types for returns. Wilcoxon or Mann–Whitney U tests were used to quantify the differences of different categories of each variable within the same Games or between the two Games. From the 2012 Games to the 2016 Games, significant increases were found in the middle short placement of serve (p < 0.01) and flip return (p < 0.01). Significant decreases were found in half placements of serve (p < 0.05), very good serve (p < 0.05), backhand return (p < 0.05), very good return (p < 0.01), very poor return (p < 0.05), and topspin returns (p < 0.01). These findings indicated a more balanced serve and return from the 2012 Games to the 2016 Games, which may inform coaches and players for taking corresponding countermeasures.
Quantitative magnetic resonance diffusion imaging of the human brain

Physiological changes within tissues are often accompanied by a movement of water between different cellular environments and an eventual breakdown of cell membranes. Magnetic resonance diffusion imaging is a relatively new medical imaging technique, capable of observing these water diffusion changes in vivo on a quantitative basis. The ability of diffusion imaging methods to provide a quantitative evaluation is extremely useful, for example in observing the effectiveness of various drug therapies at reversing pathophysiological processes. However, there are many potential difficulties to overcome if reliable diffusion measurements are to be obtained in vivo. This work studies some of these problems and attempts to overcome them to provide a reliable quantitative analysis that can be used in the current clinical setting. In conventional experiments, diffusion was treated as a scalar quantity, based on models assuming spherical or isotropic diffusion. In most living tissues, this is an oversimplification as diffusion is not isotropic and must be treated as a tensor quantity. As such, the likely errors arising from performing diffusion measurements assuming spherical or cylindrical symmetry were investigated using computer simulations. Large and unpredictable errors were found to result if diffusion was not treated as a tensor quantity and models assuming spherical or cylindrical symmetry
Peer Coaching Program Development: A Framework of First-Year Latina/o Student Persistence Pursuing STEM Pathways at a Hispanic Serving Institution

This study developed and examined the implementation of an intrusive peer-to-peer coaching program model at a private 4-year master’s degree granting Hispanic Serving Institution (HSI) located in South Texas. The coaching program provided support and promoted increased persistence among Latina/o students entering first-year science, technology, engineering, and mathematics (STEM). Findings positively indicated that first-year Latina/o STEM students can achieve academic success in college when they are matched and supported by culturally similar upperclassmen peer coaches.
Double Exponentiation Algorithm Resistant to the Implementation Attacks on Cryptographic Device

When some cryptographic algorithms used in cryptosystem such as RSA are naively implemented on a security device, the secret key of cryptosystem can be exposed to an attacker by the power analysis and fault injection attacks In this paper, we point out that the double addition chain exponentiation algorithm is vulnerable to the fault injection attack on input message and has inefficiency due to the computing of addition chain. We proposed a novel double exponentiation algorithm, which defeats most previous power analysis and fault injection attacks and can be adopted for secure RSA-CRT implementation
Smart generation with smartphone hooked to Internet addiction

From the last decade, there is a rapid increase in usage of Internet. It has come up as a global network that helps people in connecting and communicating with each other around the globe. The advent of smartphone and easy access to Internet has brought so many advantages to our life. On the other hand, it has raised several concerns for parents, professionals and researchers. Children, adolescents and young adults are facing the major brunt of this technology advancement. The article uses the term smart generation as a proposed nomenclature for today’s children and adolescents who are exposed to the smart devices (I pad, smartphone, computer, laptop etc.) at an early age and who spend a large amount of their time with them. Now a day, Internet addiction disorder or problematic Internet use has become a concern of each and every household in India. Latest version of the Diagnostic and Statistical Manual of mental disorder (DSM-5) uses the term Internet gaming disorder for this problem. The term Internet addiction (IA) has been used in different studies with different connotations, as there is lack of consensus regarding any specific definition of IA. It has been seen that people who are addicted to the Internet have difficulty in fulfilling their personal and professional responsibilities due to their constant involvement with online activities. They do experience negative emotions and withdrawal symptoms when their Internet access is restricted. The concept of IA includes cyber-sexual addiction, cyber relationship addiction, online gaming addiction, net compulsions, computer addiction, smartphone addiction and information overload. However, till date the validity of these categories are still under investigation and require further research.
Introducing the StataStan Interface for Fast, Complex Bayesian Modeling Using Stan

In this article, we present StataStan, an interface that allows simulation-based Bayesian inference in Stata via calls to Stan, the flexible, open-source Bayesian inference engine. Stan is written in C++, and Stata users can use the commands stan and windowsmonitor to run Stan programs from within Stata. We provide a brief overview of Bayesian algorithms, details of the commands available from Statistical Software Components, considerations for users who are new to Stan, and a simple example. Stan uses a different algorithm than bayesmh, BUGS, JAGS, SAS, and MLwiN. This algorithm provides considerable improvements in efficiency and speed. In a companion article, we give an extended comparison of StataStan and bayesmh in the context of item response theory models.
Re-configuration of the Relief Network Considering Uncertain Demand and Link Failure in an Earthquake: A Multi-stage Stochastic Programming

Disasters inevitably trigger far-reaching consequences affecting all living things and the environment. Therefore, top managers and decision-makers in disaster management seek comprehensive approaches to evaluate facilities and network preparedness in dealing with the response phase of predicted disaster scenarios in terms of number of casualties, costs, and unmet demands. In this regard, previous studies on the preparedness phase have often been limited to the location of eligible facilities without considering other important factors such as current assets, entities and configuration. Thus, the present study proposes a reconfiguring and repositioning model in order to simultaneously assess whether existing support bases should remain, be consolidated or phased out as well as whether new support base facilities should be established and subsequently supply and demand requirements considered. In the proposed model, in addition to considering a scenario tree for destruction and demands, network links affected by the intensity of disaster events are also evaluated. Furthermore, in order to increase reliability, the destruction of network links takes into account that link failures give rise to vulnerability in related links. In the proposed model, multi-stage stochastic programming has been implemented on various real destruction and demand scenarios. The results indicate definite advantages in the re-positioning or reconfiguring model compared with current configurations. Moreover, the superior capability of the applied solving approach versus one of the traditional approaches is also appraised.
Numerical Simulations of a Moving Multibody Using a Two-phase Solver

A RBF (radial basis function) cut-cell approach is developed to study the dynamic behaviour of a multibody excited by impulsive waves using a highly efficient LES (large eddy simulation) twophase solver. The latter uses a novel VOF finite volume method incorporating a dynamic subgrid-scale model. This includes a multibody mass-force model to capture the interactions between the body motions and fluid flows. An understanding of the fundamental mechanisms of the interactive effects between moving bodies provides information to better design offshore multibody structures.