Miracle-dz/UniFAR-FTUs huggingface dataset:
Fair Play: What are the Knowledge, Skills, and Attitudes of 5th–6th Grade Lithuanian Pupils?

Sport, when practiced fairly, in a social and cultural context, enriches society, and on an individual level, offers the opportunity for self-awareness, expression and fulfilment, personal achievement, social interaction, enjoyment, and good health. However, sport is also facing fresh dangers and challenges from all corners of the globe. This article analyses the knowledge, skills, and attitudes of 5th–6th-grade Lithuanian pupils regarding the Olympic value of Fair play.
Internet of Things and anomaly detection for the iron ore mining industry

In the context of a world flooded with data, the Internet of Things (IoT) is exploding. This thesis considers the problem of applying IoT technology to the reduction of costs in the iron ore mining industry, to compensate for the iron ore price slumping observed over the past years. More specifically, we focused on improving the quality of the output in a data-driven iron ore concentration factory. In this plant, mined iron ore goes through a series of complex physical and chemical transformations so as to increase the concentration in iron and reduce the concentration in impurities such as silica. In this thesis, we developed an IoT infrastructure comprising of machines, a network of sensors, a database, a random forest prediction model, an algorithm for adjusting its cutoff parameter dynamically, and a predictive maintenance algorithm. It can preventively detect and maybe fix poor quality events in the iron ore concentration factory, improving the overall quality and decreasing costs. The random forest model was selected among other anomaly detection techniques. It is able, on an independent test data set, with an AUC of about 0.92, to detect 90% of the poor quality events, with a false positive rate of 23.02%, lowered by the dynamic cutoff algorithm. These methods can be applied to any factory in any industry, as long as it has a good infrastructure of sensors, providing sufficiently precise and frequent data. Thesis Supervisor: David Simchi-Levi Title: Professor of Engineering Systems Division and the Department of Civil and Environmental Engineering
Tracer Study of 2009–2013 BA History Graduates of The Kalinga-Apayao State College

In many countries a new demand is emerging: higher education institutions should provide empirical evidence regarding the professional relevance of their study Programs. This study intended to trace the 2009–2013 Bachelor of Arts in History graduates from their school of origin to their place of employment or self employment to obtain the needed information. It also determined the extent by which factors affect the employment status of the graduates. The data collected were carefully tabulated, organized, analyzed and interpreted using frequency and percentages. Weighted Mean was used to describe the extent of effect of factors on the status of the AB History graduates. The study determined that the AB History graduates are much affected by the identified factors. The study recommends that On the Job Training in large companies/organizations should be arranged for graduates to so that they can gain work experience. Moreover, the code of professional ethics should be incorporated in the curriculum to develop sound work ethics, values and professionalism among the graduates in preparation for their integration to mainstream society. Finally, it is further recommended that curriculum planning and development in higher education should place greater emphasis on multiple and practical skills acquisition or practice oriented study.
Function and evolution of genes in the human protein interaction network

The research conducted for this thesis aims to elucidate how the human protein interaction network has evolved, and how protein interactions influence the spatial organisation of the metabolic network. The thesis presents compelling results suggesting that indirect protein-protein interactions between metabolic enzyme proteins, and non-metabolic proteins is a feature conserved from prokaryotes through to mammals. Indirect protein-protein interactions are shown to influence the structure of metabolic networks, very likely through a mechanism called metabolic channelling. This mechanism brings metabolic pathway enzymes into close proximity of each other so that reactions between the enzymes can occur. In E. coli and yeast, reactions that are linked to each other through mediator proteins have a much higher flux compared to reactions lacking them. The thesis presents indirect evidence that indirect protein-protein interactions are very important for the spatial organisation of metabolic protein networks. This thesis has also inferred the likely time of origin of the human protein-protein interactions that were examined, and suggests that most of the protein interactions in human are likely to be conserved in chimpanzee, macaque, mouse, rat, horse, dog and cow. This suggests they date from at least the point in evolution when placental mammals radiated out. Analyses of the function of proteins analyses in the thesis also suggests that the protein interactions have been conserved because they perform fundamental cellular functions. Finally, the duplicability of protein self-interactions (interactions between two proteins encoded by the same gene i.e., homodimers) are investigated. These genes have higher duplicability in comparison to other protein encoding genes, and also contain more interactions in general, which can perhaps be explained by the greater evolutionary age of these genes.
A PROFESSIONAL DETECTION AND INTERACTIONS IN ASSORTED SERVICE- ORIENTED SCHEMES

In present days business environments the web-based alliance and processes have become crucial. Such procedures in general span connections between people and services across worldwide dispersed companies. To enable human communications in service oriented systems which have led to conditions such as Business Process Execution Language (BPEL) people who intend at standardizing the interaction protocol between software processes and humans. Web services and Service Oriented Architecture (SOA) are the actual technologies to execute compositions of humans and services. To sustain difficult interaction scenarios for both human-provided and software-based services interacting we introduce a mixed service- oriented system to perform joint activities or to solve emerging problems. However, for the automatic management of actor skills, reputation, and trust, the competencies of people evolve over time thereby requiring approaches. Mixed service-oriented systems is challenging due to scale and temporary nature of collaborations. The need for supple participation of experts and knowledge workers in dispersed collaborations, a novel approach is presented in this paper. In this paper, we describe the Human-Provided Services (HPS) and an approach for managing user preferences and network structures and allow experts to offer their skills and capabilities.
Mitigation of Wind-Induced Vibrations in Long-Span Bridges using a Distributed Flap System

Since the collapse of the Tacoma Narrows Bridge more than 70 years ago suppressing wind-induced instabilities has been a key aspect of the design of long-span bridges. The intensive experimental and theoretical research in wind engineering allowed researchers and practitioners to not only understand the physics of aeroelastic instability phenomena such as flutter, but also to develop reliable testing procedures, models, and design rules for preventing these instabilities during the lifetime of a bridge. As a consequence, the civil engineering community has adopted a series of design standards for wind effect mitigation of long-span bridges typically called passive measures. A passive solution, although safe in respect to wind perturbations, is intrinsically a static compromise for a dynamic system response to a variable and uncertain perturbation and as such it implies numerous limitations. Therefore, in the last two decades researchers have investigated active measures for preventing aeroelastic instabilities, especially flutter. The underlying motivation is that an active damping mechanism can adapt to dynamic wind and structure conditions and has therefore the potential of being more efficient than a passive solution despite its higher complexity and cost. One of the most investigated and potentially highly effective active measures to enhance the flutter performance of bridges is to endow their decks with arrays of movable flaps. The overall aim of this dissertation is to investigate, experimentally as well as theoretically, the feasibility and effectiveness of an intelligent, distributed flap system for enhancing the flutter performance of long-span bridges. The main contributions of this thesis are three-fold. First, we have designed a unique, dedicated, experimental setup consisting of a bridge section model, endowed with actively controlled flap arrays, as well as all the necessary instrumentation for measuring and perturbing the system states under controlled wind conditions, in a boundary layer wind tunnel. Secondly, we have developed an analytical model, building on top of theoretical frameworks commonly used in civil engineering for long-span bridges, and in aeronautics for wings equipped with ailerons and tabs. We have systematically evaluated the theoretical model effort with wind tunnel experiments. Thirdly, we leveraged our experimental setup and analytical model in order to thoroughly investigate different flap control coordination strategies, an unprecedented study that we are uniquely equipped for.
Optimization of printed circuit board interconnectivity testing for parallel devices

ABSTRACT In this article, the problems of test sequence generation and scheduling optimization for a tester with parallel devices are considered in order to reduce inspection times. Two optimization problems are formulated for test sequence generation and the scheduling of parallel devices, and then algorithms to address these problems are proposed. The proposed algorithms were tested via simulation and experiments. The test results show two to four times improvement over existing methods.
Assessment of level of service measures for two-lane intercity highways under heterogeneous traffic conditions

Many researchers have studied the performance of two-lane intercity highways with the help of different measures. In the current study, the performance of such highways under heterogeneous traffic conditions was examined by using several speed and followers related measures. The data were collected from five study sites located in different regions of India. A new methodology was proposed where followers were identified by using a speed difference (between two consecutive vehicles) range of −4 to + 10 km/h and gap threshold value (lower than a particular gap value) of 10 s. By using acceptance curve method, different critical gap values were suggested for each site to identify the followers. Out of all the performance measures, the number of followers as a proportion of capacity (NFPC) and follower density were found to be the best and second best parameters. Finally, different level of service ranges were proposed based on NFPC using cluster analysis.
Review on the Effectiveness of using Bio-Char as an Adsorbent for the Removal of Water Pollutants

In the last few decades, biochar has been effectively used in water remediation and for improving soil fertility. Due to an aggravated desire for zero pollution and green technology, biochar application is gaining interest in wastewater treatment. Adsorption has been regarded as a clean and less costly technology to decontaminate water laden with harmful materials including heavy metals, dyes, pesticides, herbicides etc. Therefore, a review of the effectiveness of biochar derived from different feedstocks used as adsorbents is given in this paper. These include biochar from agricultural and forest residues, industrial by-products and waste, municipal solid waste materials, waste tyres and paper. In addition, this study reveals the effect of surface functional groups, surface charges, surface area, elemental composition and other parameters such as pyrolysis temperature, adsorbent and adsorbate concentrations, solution pH and others on the removal efficiencies. To achieve this, studies have been compiled using biochar derived from agricultural and forest residues. It was found that biochar feedstocks and pyrolysis temperature determine most of the biochar characteristics and their behaviour during removal of contaminants. Among these characteristics are the oxygenated surface functional groups which were found to aid in the removal of positively charged contaminant due to their negative charge hence electrostatic attraction. Furthermore, other reaction mechanisms involved during adsorption include surface complexation, ion exchange, chelation etc. Kinetic models were used to predict these mechanisms while kinetic isotherms predicted whether monolayer or multilayer adsorption occurred. This study has revealed that conversion of biomass to biochar offers an excellent alternative to waste management, wastewater treatment and green technology therefore intensive research on this topic should be of priority.
Variables incidentales en la motivación de compra por hedonismo y la compra compulsiva por internet

El propósito de esta investigación es examinar la relación entre variables incidentales en la motivación de compra por hedonismo y la compra compulsiva mediante el uso de internet en jóvenes. Para ello se integró una muestra de 150 estudiantes de nivel superior de distintas instituciones educativas del sureste de México. Se utilizó el modelado de ecuaciones estructurales para probar las relaciones entre los constructos. Los resultados muestran que existen relaciones casuales significativas entre la motivación hedónica y la compra compulsiva mediante el uso de internet. Los cuales tienen implicaciones valiosas para la toma de decisiones de los comerciantes minoristas por la necesidad constante de enfatizar el uso de promociones y novedades de ofertas de productos mediante aplicaciones de internet.
Identification of lung cancer drivers by comparison of the observed and the expected numbers of missense and nonsense mutations in individual human genes

Largely, cancer development is driven by acquisition and positive selection of somatic mutations that increase proliferation and survival of tumor cells. As a result, genes related to cancer development tend to have an excess of somatic mutations in them. An excess of missense and/or nonsense mutations in a gene is an indicator of its cancer relevance. To identify genes with an excess of potentially functional missense or nonsense mutations one needs to compare the observed and expected numbers of mutations in the gene. We estimated the expected numbers of missense and nonsense mutations in individual human genes using (i) the number of potential sites for missense and nonsense mutations in individual transcripts and (ii) histology-specific nucleotide context-dependent mutation rates. To estimate mutation rates defined as the number of mutations per site per tumor we used silent mutations reported in the Catalog Of Somatic Mutations In Cancer (COSMIC). The estimates were nucleotide context dependent. We have identified 26 genes with an excess of missense and/or nonsense mutations for lung adenocarcinoma, 18 genes for small cell lung cancer, and 26 genes for squamous cell carcinoma of the lung. These genes include known genes and novel lung cancer gene candidates.
Moroccan Data Lake Healthcare Analytics for Covid-19

: The coronavirus pandemic has radically changed the way we live. It has had a major impact on all areas. Researchers around the world are redoubling their efforts to explore solutions to this pandemic. In this context, many researchers attest to the driving role of technologies in the management and resolution of this global health crisis. To allow specialists in the field to better understand the key factors that influence the rapid spread of this epidemic, the establishment of a data lake information system is a major challenge for analyzing heterogeneous data to make effective decisions. This study aims to take advantage of the power of this massive amount of heterogeneous data to construct a data lake system as one of the expected information systems for many organizations. To meet this need, this paper proposes a new approach for data lakes based on dynamic ontologies to manage different data types regardless of their format. In addition to this, we have designed a friendly interface for the digitalization of hospital operations and a dashboard for visualization of the statistics of the covid19.
TWITCH PARAMETERS IN TRANSVERSAL AND LONGITUDINAL BICEPS BRACHII RESPONSE

Assessment of the contractile properties of skeletal muscles is continuing to be an important issue and a difficult task methodologically. Longitudinal direction of skeletal muscle contraction blurs intrinsic muscle belly contractile properties with many factors. This study evaluates and explains contractile properties such as: delay time (Td), contraction time (Tc), half relaxation time (Tr) and maximal amplitude (Dm) extracted from twitch transversal response and compare them with torque response. In fifteen healthy males (age 23.7 ± 3.4 years) isometric twitch transversal and torque responses were simultaneously recorded during graded electrically elicited contractions in the biceps brachii muscle. The amplitude of electrical stimulation was increased in 5 mA steps from a threshold up to a maximal response. The muscles’ belly transversal response was measured by a high precision mechanical displacement sensor while elbow joint torque was calculated from force readings. Results indicate a parabolic relation between the transversal displacement and the torque Dm. A significantly shorter Tc was found in transversal response without being correlated to torque Tc (r = -0.12; p > 0.05). A significant correlation was found between torque Tc and the time occurrence of the second peak in the transversal response (r = 0.83; p < 0.001). Electrical stimulation amplitude dependant variation of the Tc was notably different in transversal than in torque response. Td was similar at submaximal and maximal responses but larger in transversal at just above threshold contractions. Tr has a similar linear trend in both responses, however, the magnitude and the slope are much larger in the transversal response. We could conclude that different mechanisms affect longitudinal and transversal twitch skeletal muscle deformations. Contractile properties extracted from the transversal response enable alternative insights into skeletal muscle contraction mechanics.
Repurposing Vitamin C for Cancer Treatment: Focus on Targeting the Tumor Microenvironment

Simple Summary The tumor microenvironment (TME) is a complicated network, and several promising TME-targeted therapies, such as immunotherapy and targeted therapies, are now facing problems over low response rates and drug resistance. Vitamin C (VitC) has been extensively studied as a dietary nutrient and multi-targeted natural drug for fighting against tumor cells. The focus has been recently on its crucial functions in the TME. Here, we discuss the potential mechanisms of VitC in several specialized microenvironments, characterize the current status of its preclinical and clinical applications, and offer suggestions for future studies. This article is intended to provide basic researchers and clinicians with a detailed picture of VitC targeting the tumor microenvironment. Abstract Based on the enhanced knowledge on the tumor microenvironment (TME), a more comprehensive treatment landscape for targeting the TME has emerged. This microenvironment provides multiple therapeutic targets due to its diverse characteristics, leading to numerous TME-targeted strategies. With multifaced activities targeting tumors and the TME, vitamin C is renown as a promising candidate for combination therapy. In this review, we present new advances in how vitamin C reshapes the TME in the immune, hypoxic, metabolic, acidic, neurological, mechanical, and microbial dimensions. These findings will open new possibilities for multiple therapeutic avenues in the fight against cancer. We also review the available preclinical and clinical evidence of vitamin C combined with established therapies, highlighting vitamin C as an adjuvant that can be exploited for novel therapeutics. Finally, we discuss unresolved questions and directions that merit further investigation.
The Virus–Host Interplay in Junín Mammarenavirus Infection

Junín virus (JUNV) belongs to the Arenaviridae family and is the causative agent of Argentine hemorrhagic fever (AHF), a severe human disease endemic to agricultural areas in Argentina. At this moment, there are no effective antiviral therapeutics to battle pathogenic arenaviruses. Cumulative reports from recent years have widely provided information on cellular factors playing key roles during JUNV infection. In this review, we summarize research on host molecular determinants that intervene in the different stages of the viral life cycle: viral entry, replication, assembly and budding. Alongside, we describe JUNV tight interplay with the innate immune system. We also review the development of different reverse genetics systems and their use as tools to study JUNV biology and its close teamwork with the host. Elucidating relevant interactions of the virus with the host cell machinery is highly necessary to better understand the mechanistic basis beyond virus multiplication, disease pathogenesis and viral subversion of the immune response. Altogether, this knowledge becomes essential for identifying potential targets for the rational design of novel antiviral treatments to combat JUNV as well as other pathogenic arenaviruses.
Unsupervised Clustering of Heartbeat Dynamics Allows for Real Time and Personalized Improvement in Cardiovascular Fitness

VO2max index has a significant impact on overall health. Its estimation through wearables notifies the user of his level of fitness but cannot provide a detailed analysis of the time intervals in which heartbeat dynamics are changed and/or fatigue is emerging. Here, we developed a multiple modality biosignal processing method to investigate running sessions to characterize in real time heartbeat dynamics in response to external energy demand. We isolated dynamic regimes whose fraction increases with the VO2max and with the emergence of neuromuscular fatigue. This analysis can be extremely valuable by providing personalized feedback about the user’s fitness level improvement that can be realized by developing personalized exercise plans aimed to target a contextual increase in the dynamic regime fraction related to VO2max increase, at the expense of the dynamic regime fraction related to the emergence of fatigue. These strategies can ultimately result in the reduction in cardiovascular risk.