Miracle-dz/UniFAR-FTUs huggingface dataset:
The determinants of a culture of quality for Bolivian firms

Philip Crosby famously said that “Quality is the result of a carefully constructed cultural environment. It has to be the fabric of the organization, not part of the fabric. ” This quote suggests that quality must find new approaches for their study that go beyond traditional conceptualizations, such as the study of the culture of quality. Worldwide, there are a series of studies about the culture of quality. However, in Bolivia and South America, no studies have analyzed their determinants. Thus, our research surveyed 185 Bolivian managers and through the use of statistical modeling, we found that customer focus, quality vision, and quality values positively influence the culture of quality. Additionally, we developed a culture of quality index to rank the surveyed firms according to their score. We found that: (a) large firms; (b) firms that implemented quality standards; and (c) product manufacturing firms have the highest culture of quality scores. In contrast, (i) SME’s; (ii) firms that did not implement quality standards; and (iii) service firms showed the lowest culture of quality scores. Finally, we discuss the implications and strategies for Bolivian firms.
Introduction to average Hamiltonian theory. I. Basics

This article is a contribution to the special issue in honor of Alex Bain. Abstract Understanding the dynamics of electron or nuclear spins during a magnetic resonance experiment requires to solve the Schr€odinger equation for the spin system considering all contributions to the Hamiltonian from interactions of the spins with each other and their surroundings. In general, this is a difficult task as these interaction terms can be both time-dependent and might not commute with each other. A powerful tool to analytically approximate the time evolution is average Hamiltonian theory, in which a time-independent effective Hamiltonian is taking the place of the time-dependent Hamiltonian. The effective Hamiltonian is subjected to the Magnus expansion, allowing to calculate the effective Hamiltonian to a certain order. The goal of this paper is to introduce average Hamiltonian theory in a rigorous but educational manner. The application to two composite pulses in NMR spectroscopy is used to demonstrate important aspects of average Hamiltonian theory.
Specific Aspects of Neurophysiological and Neuroimaging Study of Multiple Sclerosis Patients with Spasticity

Abstract. The objective of the study was to assess the functional state of muscle fibers in spasticity and prognostic value of the number and localization of MRI lesions for its development in MS patients. Material and methods. We studied findings of electroneuromyography in 51 multiple sclerosis patients with spasticity. The study was performed using non-invasive stimulation technique with a Nihon Kohden device. Results. In patients with MS with minimal clinical signs of spasticity, a significant decrease in the amplitude of the M-response was revealed when examining both the upper and lower extremities. Indicators of late electrophysiological phenomena (F-wave) changed only in the lower limbs, where the level of spasticity was higher. We identified threshold levels of Mamplitude to assess the risk of developing a high spasticity score of >12. The number of T2 and T1 lesions, as well as their localization in the spinal cord, have prognostic value for early development of spasticity. Conclusion. The results of the study revealed the main electrophysiological indicators of early manifestations of spasticity in MS patients and prognostic value of the number and localization of MRI lesions.
The Relationship Among TCSL Teachers’ Self-Efficacy, Students’ Learning Motivation, and Academic Performance

With China’s tremendous economic strength and significant promotion of international status, the Chinese language is becoming a highly valued and widely accepted language globally, which causes rapid growth in the number of Chinese language learners all over the world. At the same time, the number of teaching Chinese as a second language (TCSL) teachers in mainland China is also increasing. However, since the foreign students are from different cultural backgrounds, therefore, it brings big challenges for TCSL teachers to manage students in the class and ensure the instructional quality. Teachers’ self-efficacy, which stems from Bandura’s Self-efficacy Theory, has been proved by a large amount of studies as an important factor which has effect on teachers’ teaching behavior and students’ academic performances, and then makes further improvement on teaching quality. However, in recent years, researches on relationship among TCSL teachers’ self-efficacy, foreign students’ learning motivation, and learning outcomes are relatively few in mainland China. This study makes a thorough inquiry on the relationship among TCSL teachers’ self-efficacy, foreign students’ learning motivation, and academic performance in universities of mainland China, and ends by drawing a conclusion that any study we do should always comprehensively take individual differences and external factors into account.
A Survey on Sentiment Analysis, Classification and Applications

Sentiment analysis or opinion mining is the computational study of people’s opinions, appraisals, attitudes, and emotions toward entities, individuals, issues, events, topics and their attributes. Sentiment analysis plays a vital role in the research area of text mining. The aim behind the sentiment classification is to analyze the core (subjective) information in the text and then categorizes into one of the three categories positive, negative and neutral. The purpose of this paper is to analyze different techniques for sentiment classification that assign a polarity to an opinionated text. This paper summarized the sentiment levels for classification, some widely used algorithms, possible challenges and application areas of sentiment classification.
A COMPREHENSIVE REVIEW OF BOOTSTRAPPING PATTERN LEARNING TECHNIQUES IN INFORMATION EXTRACTION

: The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of structured databases and the abundance of unstructured data. The ﬁeld of information extraction has its genesis in the natural language processing community. The primary impetus came from competitions centered around recognizing named entities like people names and organizations from news articles. This paper surveys Bootstrapping Pattern Learning Techniques in Information Extraction and presents detailed talk of the algorithms and the relative pros and cons of the techniques used. We also study the problems various authors attempt to solve and analyze when it is appropriate to utilize a bootstrapping algorithm.
STUDY OF THE DIPTERAN FAUNA IN AN ENVIRONMENTAL PROTECTION AREA IN MARANHÃO STATE, BRAZIL

Information on dipteran fauna is of great importance for a thorough understanding of the biodiversity of a given area, as some dipterans can be used as bioindicators of environmental quality. This study aimed to survey members of the order Diptera in different environments of the Inhamum Environmental Protection Area, Caxias, Maranhão State, Brazil. Two sites were evaluated, a gallery forest site (1) and a Cerrado site (2). Six collections were performed between October 2017 and March 2018 using PROVID traps. At each site, six parallel transects spaced about 10 m apart were sampled at five equidistant points, totaling 60 sampling points (30 points per site). The final sample comprised 1,040 dipteran individuals, including 479 specimens distributed in 22 families collected from site 1 and 561 specimens distributed in 23 families collected from site 2. This survey of families belonging to the order Diptera in the Inhamum Environmental Protection Area revealed the richness of the studied sites. Richness estimation suggested that further investigation of the area may lead to the discovery of rare specimens.
TRE FOR ATHLETES

The use of vibration as a means for enhancing athletic performance is well documented. Vibration training is based on an external drive that stimulates the neuromuscular system of a subject through the use of a vibratory platform. However, the human body possesses the inherent ability to selfgenerate vibrations/tremors. Initiating a self-directed tremoring process is the goal of TRE® (Tension, stress, and trauma Releasing Exercises). TRE method is not known among the athletes in Slovenia. Therefore, the aim of our study was to investigate whether; (1) TRE providers around the world use TRE for athletes; and (2) how they find it beneficial. Our findings suggest that TRE can represent a valuable and effective exercise intervention for enhancing performance in athletes. TRE induced tremors are capable of relaxing physical tension patterns in the body as well as reducing psychoemotional stress and anxiety. However, to adequately assess the effects of TRE on athletes more research is needed.
Best practices for COVID-19 Test Process in a Hospital Emergency Department

Detection tests for COVID-19 are important to mitigate its spread. However, it is not yet clear what are the best practices for its realization. This paper aims to propose best practices to avoid possible failures in the points of contact of the samples collection for Reverse Transcription Polymerase Chain Reaction (RT-PCR) process in an emergency department of a hospital for the care of patients who are suspected or diagnosed with the new coronavirus. For this purpose, we performed a process mapping of the RT-PCR collection process using the Service Blueprint tool to identify the points of contact between the patients and the hospital staff. Thus, we identified the possible failures in these points, with the process actors, and we prioritized them according to their perception about Gravity, Urgency, and Tendency matrix. Our results show that the most critical failures are related to the information and communication between the process actors and the patients. In this way, improvements were proposed related to the standardization, information material, continued training, development of specialized teams, creation of protocols, and use of information technology. © IEOM Society International.
The Application of Decision Tree Regression to Optimize Business Processes

Many organizations use business processes as a tool to realize and sustain competitive advantage in the market. A business process is a structured collection of activities with comprehensible sequence and dependency to yield a required outcome. The optimization of these processes is of paramount importance because optimized processes yield adaptability, accurate information, enhanced efficiency, accountability through performance monitoring, and improved quality. Relying on business people such as executives and management to identify areas of improvement in the business processes is potentially subjective. This research commences on the assumption that business processes are fully constituted for a business and on this premise seeks an alternate, none subjective, optimization technique. A Decision Tree (DT) is a tool that supports decision making by means of a tree-structured modeling approach to map possible outcomes of a chain of interconnected choices. When applied in statistical regression modeling, a DT model employs supervised learning techniques to model decisions in a tree structure with possible results, input costs, and usefulness. In a DT model, aspects of an element are monitored and the model is trained to predict the future. DT can be applied to improve business processes by identifying activities or elements with significant impact when enhanced. This paper demonstrates business process optimization via DT regression modeling by the use of Python programming.
Conceptualizing Emotional Intelligence as ‘Abilities’ or ‘Traits’ and its Relevance in Managerial Performance: A Perceptual Study of Managers in Selected Service Sector Companies

When researchers study Emotional Intelligence (EI) in an organizational context with the motive of examining its influence on employee performance they are invariably faced with the challenge of conceptualizing EI in a uniform and unambiguous manner. Given the ‘people’ element of the marketing mix for services, Emotional Competencies (ECs) are of particular interest to managers in the service sector. This study is based on the survey of the opinions and perceptions of 114 managers from four selected service industries (civil aviation, healthcare, banking, and hospitality) in India regarding (i) their preferred conceptual framework for EI and its derivative construct ECs and (ii) the relevance of EI and ECs to managerial performance. It was observed that practicing managers in the selected service sectors had a preference for a hybrid formulation of EI with a bias towards an ‘ability’ rather than a ‘trait’ based formulation. The overwhelming majority of managers perceived ECs to be highly relevant for managerial performance and effective leadership outcomes.
RELATIONSHIP BETWEEN EXTRAVERSION AND GAMBLING TENDENCIES AMONG STUDENTS IN NYAMIRA SOUTH-SUB COUNTY, KENYA

The Purpose of the study was to explore the relationship between extraversion and gambling tendencies among secondary school students in Nyamira South Sub County, Kenya. Objective was to determine the association between extraversion and gambling tendencies among students in Nyamira South Sub-County. It was informed by Eysenck’s theory of Personality and a conceptual framework. The study adopted concurrent triangulation research design within the Mixed Method Approach. The Units of analysis were 50 secondary schools. The target populations were 12667 students, 50 Guidance and counselling Teachers (G&C Teahers), 52 Deputy Principals and 50 Parents and Guardians. The sample consisted of 370 students (Krejcie and Morgan 1970), 15 G&C teachers, 15 Deputy Principals and 15 Parents and Guardians. The schools were arranged into homogeneous groups and then picked through simple random sampling while the students were selected through simple random sampling. Data was collected through use of questionnaires and interview schedule. To ensure validity of instruments, the instruments were developed under close guidance of the researchers’ Supervisors. To test for reliability, test-retest technique was applied and a correlation coefficient of 0.797 was obtained. Data was analysed using descriptive statistics such as percentages, mean and frequency counts and inferential statistics such as Karl Pearson’s and correlation and regression analysis. Qualitative data was analyzed on the basis of themes and sub-themes that emerged from the study. The study found out that there was a statistical significant association between extraversion and gambling tendencies ( , = 12.558 ˃ = 3.84). The study concludes that Students exhibiting strong extroversive personality subtype traits have a higher frequency of gambling tendencies than other personality subtypes. Furthermore, extroverts are more likely to develop into pathological gamblers as compared to others because more are easily addicted. This study may be significant to Students in secondary schools, G&C teachers, Parents and Guardians and Board of Management of schools. A study on effects of gambling in teaching and learning in secondary schools in Kenya would expound the present study.
The Use of Circular Economy Indicators to Improve Sustainability in the Recycling Aluminium Context

The Circular Economy is an important alternative to capture environmental profit from polluters and increase the competitiveness of productive sectors. This study aims to analyse how the Circular Economy (CE) indicators can contribute to improving the sustainability of recycling aluminium beverage packages in the Brazilian scenario. A literature review was conducted about CE indicators in aluminium-recycling context and a set of CE indicators were found and criticized in the context of sustainability. According to results, beverage packages have alternatives to be more circular, with correct ways to measure improvements and develop the sector, decreasing environmental threats and increasing recycling content. This study provided information to the metal industry, metal users, and the recycling industry of aluminium beverage packaging in Brazil.
A MULTIPARAMETER MODEL FOR LINK ANALYSIS OF CITATION GRAPHS

We propose a family of Markov chain-based models for the link analysis of scienti(cid:2)c publications. The PageRank-style model and the dummy paper model discussed in [Electron. Trans. Numer. Anal. , 33 (2008), pp. 1(cid:150)16] can be obtained by a particular choice of its parameters. Since scienti(cid:2)c publications can be ordered by the date of publication it is natural to assume a triangular structure for the adjacency matrix of the citation graph. This greatly simpli(cid:2)es the updating of the ranking vector if new papers are added to the database. In addition by assuming that the citation graph can be modeled as a (cid:2)xed degree sequence random graph we can obtain an explicit estimation of the behavior of the entries of the ranking vector.
Vanadium Oxide Oligomers and Ordered Monolayers Supported on CeO2(111): Structure and Stability Studied by Density Functional Theory

Structures and stabilities of vanadium oxide oligomers as well as two candidate structures for a monolayer on the CeO2(111) surface have been studied by density functional theory, employing a genetic algorithm to determine the global energy minimum structures. These ceria-supported structures have predominantly 4-fold coordinated V5+ ions with V═O groups in common. The agglomeration of VO2 clusters deposited on the surface is a strongly exothermic process, particularly when ring structures with three or six VO2 units are formed that are commensurate with the close-packed surface-terminating oxygen layer. The VO2 and V2O5 monolayers feature larger coordination numbers (5, 6) of V and contain V atoms without V═O groups. Relative to oligomers, VO2 and V2O5 monolayer structures with and without oxygen defects are thermodynamically more stable. This, together with the fact that flat “monolayer” clusters are preferred to taller “bilayer” clusters, indicates the preference for a complete two-dimensional wetting .
Effects of operating parameters on the performance of a zinc-air fuel cell

As a promising energy storage device, the rechargeable Zinc-air fuel cells (ZAFCs) has attracted an increasing attention because of their high energy density, cost-effectiveness, non-toxic (in terms of the manufacturing materials of the cell as well as the products of the reactions), the rich abundance of zinc, compact system design, as well as its environmental benignity. Rechargeable Zinc-air fuel cells (ZAFCs) are investigated as a possible technology for fast responding large-scale electrical energy. a broad study was performed to examine the influence of different ranges of parameters such as electrolyte flow rate (0-250 mL/min), electrolyte concentration (10- 60% by weight KOH), electrolyte temperature (26-60°C), active or passive air supply (0-8 L/min), and the effects of each parameter on the cell performance was studied and analysed and the best parameters were chosen to maintain the most effective cell operation.
Autophagy-mediated negative feedback attenuates the oncogenic activity of YAP in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is the most lethal malignancy in humans, and new therapeutic targets are urgently needed. Yes-associated protein (YAP) plays a significant role in cancer progression. Autophagy is also closely associated with various human cancers. However, the interplay between YAP and autophagy in PDAC remains poorly understood. In this study, we found that YAP was upregulated and activated in PDAC. Further analysis revealed that there is a YAP-autophagy feedback loop in pancreatic cancer. Mechanistically, YAP activates autophagy by promoting Atg5 transcription via TEAD1-mediated binding, while autophagy negatively regulates YAP through autophagic degradation. The hyperactivation of YAP in PDAC unbalances the YAP-autophagy circuit and promotes cancer progression. Inhibition of autophagy enhances the oncogenic activity of YAP in PDAC. The autophagy activator rapamycin promotes the antitumor effect of verteporfin, a YAP inhibitor. Therefore, our study elucidated the interaction between YAP and autophagy in PDAC and our results suggest that targeting the YAP-autophagy circuit may be a new therapeutic strategy for pancreatic cancer.
The Simulation of Superluminous Supernovae Using the M1 Approach for Radiation Transfer

Superluminous supernovae can be explained by the interaction of their ejecta with a dense circumstellar medium. The resulting shock boosts the radiative luminosity of the supernova by converting mechanical energy into radiative energy. Accurate modeling of the shock, which suffers high radiative losses, requires the use of radiation hydrodynamics. High-precision methods have a large computational cost, so approximations are generally used. In this paper, we describe the implementation of the M1 approximation of radiation transfer using the hydrodynamics code, front. Basic tests show good agreement with reference solutions and with results from other codes. Additional tests were undertaken to show some cases where the M1 method produces unphysical results, such as in the regions where the light beams intersect each other. Tests with outgoing rays are also presented to validate the use of the M1 approach in supernova simulations. Further, a simple initial model for a superluminous supernova was created to study the shock-interacting mechanism. It is shown that the M1 approach correctly reproduces both the bolometric light curve of the supernova in one-dimensional, spherically symmetric simulations, as well as the dynamics of the thin dense layer that arises in this scenario due to extreme radiative cooling. The thin layer is unstable in multidimensional simulations, but the perturbations do not drastically change the photosphere’s parameters at the beginning of the simulation and do not strongly affect the light curve during the first 50 days.
Psychological well-being and perceived life satisfaction, physical activity and sport and people mature adult and the elderly

The main objective of our research is to understand the different perceptions of elderly people and individuals in the mature adult stage on their well-being and life satisfaction according to the sports they practice or the exercise they regularly do. We analyze specifically the possible relationships or associations within different aspects of psychological well-being and perceived life satisfaction, taking into account the intensity of their physical activity and sport. The data have been obtained from a study carried out in the municipality of Dos Hermanas (Seville), on a population sample of 419 people over 54 years of age, selected by stratified sampling by quotas with proportional affixation and a confidence level of 95 %. Our analysis examines the associations within five categories using an unfolding model. The perception of psychological well-being and life satisfaction has been assessed by 14 statements. The main results of our study illustrate how elderly people who practice sports regularly and show an interest in them declare they feel good about themselves, can accomplish every challenge, set themselves goals that give meaning to their lives, have friends they can trust and feel full satisfaction with their current life.