Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of mobile fitness applications in student leisure activities

Abstract The purpose of this study is to examine the behavior of students when using mobile applications (apps) during physical activity and to identify the determinants of their behavior. Analysis of variance, t test, chi-square test of independence, and chi-squared automatic interaction detection decision trees were utilized. Exploratory analysis was undertaken to identify the motivation behind the use of apps, using the self-determination theory as a framework. The results showed that the main reason for using apps is to record and save data for personal use and to improve the effectiveness of training. Students mostly use apps while running and cycling. The determinants of student app use are gender, place of residence, material situation, and level of higher education (bachelor’s or master’s degree). The results of the exploratory analysis indicate that motivations for using apps for most surveyed students are autonomous. The results provide a greater understanding of the role of mobile app use during leisure.
Molecular landscapes of glioblastoma cell lines revealed a group of patients that do not benefit from WWOX tumor suppressor expression

Introduction Glioblastoma (GBM) is notorious for its clinical and molecular heterogeneity, contributing to therapeutic failure and a grim prognosis. WWOX is one of the tumor suppressor genes important in nervous tissue or related pathologies, which was scarcely investigated in GBM for reliable associations with prognosis or disease progression despite known alterations. Recently, we observed a phenotypic heterogeneity between GBM cell lines (U87MG, T98G, U251MG, DBTRG-05MG), among which the anti-GBM activity of WWOX was generally corresponding, but colony growth and formation were inconsistent in DBTRG-05MG. This prompted us to investigate the molecular landscapes of these cell lines, intending to translate them into the clinical context. Methods U87MG/T98G/U251MG/DBTRG-05MG were subjected to high-throughput sequencing, and obtained data were explored via weighted gene co-expression network analysis, differential expression analysis, functional annotation, and network building. Following the identification of the most relevant DBTRG-distinguishing driver genes, data from GBM patients were employed for, e.g., differential expression analysis, survival analysis, and principal component analysis. Results Although most driver genes were unique for each cell line, some were inversely regulated in DBTRG-05MG. Alongside driver genes, the differentially-expressed genes were used to build a WWOX-related network depicting protein–protein interactions in U87MG/T98G/U251MG/DBTRG-05MG. This network revealed processes distinctly regulated in DBTRG-05MG, e.g., microglia proliferation or neurofibrillary tangle assembly. POLE4 and HSF2BP were selected as DBTRG-discriminating driver genes based on the gene significance, module membership, and fold-change. Alongside WWOX, POLE4 and HSF2BP expression was used to stratify patients into cell lines-resembling groups that differed in, e.g., prognosis and treatment response. Some differences from a WWOX-related network were certified in patients, revealing genes that clarify clinical outcomes. Presumably, WWOX overexpression in DBTRG-05MG resulted in expression profile change resembling that of patients with inferior prognosis and drug response. Among these patients, WWOX may be inaccessible for its partners and does not manifest its anti-cancer activity, which was proposed in the literature but not regarding glioblastoma or concerning POLE4 and HSF2BP. Conclusion Cell lines data enabled the identification of patients among which, despite high expression of WWOX tumor suppressor, no advantageous outcomes were noted due to the cancer-promoting profile ensured by other genes.
Short Survey on the Protein Modifications in Plasma during SARS-CoV-2 Infection

Although the COVID-19 pandemic has ended, it is important to understand the pathology of severe SARS-CoV-2 infection associated with respiratory failure and high mortality. The plasma proteome, including protein modification by lipid peroxidation products in COVID-19 survivors (COVID-19; n = 10) and deceased individuals (CovDeath; n = 10) was compared in samples collected upon admission to the hospital, when there was no difference in their status, with that of healthy individuals (Ctr; n = 10). The obtained results show that COVID-19 development strongly alters the expression of proteins involved in the regulation of exocytosis and platelet degranulation (top 20 altered proteins indicated by analysis of variance; p-value (False Discovery Rate) cutoff at 5%). These changes were most pronounced in the CovDeath group. In addition, the levels of 4-hydroxynonenal (4-HNE) adducts increased 2- and 3-fold, whereas malondialdehyde (MDA) adducts increased 7- and 2.5-fold, respectively, in COVID-19 and CovDeath groups. Kinases and proinflammatory proteins were particularly affected by these modifications. Protein adducts with 15-deoxy-12,14-prostaglandin J2 (15d-PGJ2) were increased 2.5-fold in COVID-19 patients, including modifications of proteins such as p53 and STAT3, whereas CovDeath showed a decrease of approximately 60% compared with Ctr. This study for the first time demonstrates the formation of lipid metabolism products—protein adducts in plasma from survived and deceased COVID-19 patients, significantly distinguishing them, which may be a predictor of the course of SARS-CoV-2 infection.
Taxonomía y distribución geográfica de "Microtityus fundorai" Armas 1974 (Scorpiones: Buthidae) en la provincia Santiago de Cuba, Cuba

Se revisa la taxonomia de Microtyus fundorai Armas 1974 y se lstan todas las localidades confirmadas para este taxon en la provincia de Santiago de Cuba, describiendose una nueva subespecie de la costa sur de la provincia. Se redefine la diagnosis diferencial de M. fundorai respecto a microtyus trinitensis Armas, 1974
Predictive Control and Benefit Sharing in Multi-Energy Systems

This article proposes the design of a hierarchical control architecture capable of optimally coordinating multi-energy systems (MESs). A MES involves the synergetic operation of subsystems belonging to different energy domains (e.g., thermal, electrical, or gas), enhancing their energy efficiency and economic savings, at the price of significant control challenges. In fact, MESs imply an increased model complexity and the interaction of networked subsystems with largely different dynamics. This motivates the design of a multilayer control architecture where, at the upper level, a model predictive control (MPC) regulator relies on energy models of reduced order to coordinate power exchanges among MES subsystems, while, at the lower layer, decentralized MPC regulators locally control subsystems with different sampling rates, consistently with their local dynamics. On the other hand, the optimal MES regulation may imply additional costs to few subsystems, although the overall operational cost decreases. Thus, benefit sharing algorithms are also proposed, relying on game-theoretical methods, enabling to properly share the achieved economic benefit among subsystems, and guaranteeing that the MES operation is more convenient than the independent regulation for each single subsystem. The designed control strategy is tested on two different MES case studies, considering also the presence of referenced electrical and thermal networks, showing high versatility and enhanced performances.
Evaluation of Integration and Human Resources in Information Technology Governance using COBIT 2019: PT. Pelabuhan Indonesia Tanjung Priok Branch

The Tanjung Priok Branch of PT. Pelabuhan Indonesia is a state-owned enterprise fully owned by the Ministry of State-Owned Enterprises, representing the Republic of Indonesia. Despite its commitment to governance, the branch encounters certain deficiencies. These include challenges related to system optimization, hindering the realization of effective processes. Moreover, there's a recognized need to enhance the expertise of the workforce to better leverage existing knowledge assets. To address these concerns, a comprehensive study focused on the IT governance of the Tanjung Priok Branch was conducted. The research employed the COBIT 2019 framework to evaluate the IT governance landscape. The investigation pinpointed areas requiring attention and enhancement within the organization. Notably, three key domains emerged as pertinent: APO08 - Managed Relationship, APO11 - Managed Quality, and BAI08 - Managed Knowledge. The assessment revealed noteworthy insights into the organization's IT governance structure. The evaluation of the APO08 process indicated that its performance fell short of the anticipated target, remaining at level 3. On the other hand, the APO11 process achieved the desired level, reaching level 4 and demonstrating significant progress. Similarly, the BAI08 process attained level 4, successfully meeting the intended target. These findings shed light on areas of accomplishment as well as those requiring further attention. To propel the Tanjung Priok Branch of PT. Pelabuhan Indonesia towards its envisioned level of excellence, it's imperative to address the identified gaps and build upon the areas of success. This strategic approach will pave the way for the realization of optimized IT governance, efficient processes, and empowered human resources, aligning with the organization's overarching objectives.
Nodes2STRNet for structural dense displacement recognition by deformable mesh model and motion representation

Displacement is a critical indicator for mechanical systems and civil structures. Conventional vision‐based displacement recognition methods mainly focus on the sparse identification of limited measurement points, and the motion representation of an entire structure is very challenging. This study proposes a novel Nodes2STRNet for structural dense displacement recognition using a handful of structural control nodes based on a deformable structural three‐dimensional mesh model, which consists of control node estimation subnetwork (NodesEstimate) and pose parameter recognition subnetwork (Nodes2PoseNet). NodesEstimate calculates the dense optical flow field based on FlowNet 2.0 and generates structural control node coordinates. Nodes2PoseNet uses structural control node coordinates as input and regresses structural pose parameters by a multilayer perceptron. A self‐supervised learning strategy is designed with a mean square error loss and L2 regularization to train Nodes2PoseNet. The effectiveness and accuracy of dense displacement recognition and robustness to light condition variations are validated by seismic shaking table tests of a four‐story‐building model. Comparative studies with image‐segmentation‐based Structure‐PoseNet show that the proposed Nodes2STRNet can achieve higher accuracy and better robustness against light condition variations. In addition, NodesEstimate does not require retraining when faced with new scenarios, and Nodes2PoseNet has high self‐supervised training efficiency with only a few control nodes instead of fully supervised pixel‐level segmentation.
Maximizing the Runs Scored by a Team in Cricket using Genetic Algorithm

Batting teams get two resources in cricket to score runs with, viz. wickets and balls. Trying to score as many runs as possible off every ball a team faces risks losing wickets. Trying to preserve wickets comes at the cost of not enough runs being scored. Thus, to maximize the runs scored, teams need to make efficient use of the balls and wickets available to them. To that end, teams primarily employ two types of batsmen-aggressive batsmen who try to score as many runs as possible off the balls they face and defensive batsmen who try to protect their wickets. Having too many aggressive batsmen helps a team score more runs off the balls they face but it stands the risk of a team losing all its wickets before they face all of their allotted balls. Having too many defensive batsmen helps a team face all the balls allotted to them but they may not end up scoring enough runs. Hence, selecting the right combination of defensive and aggressive batsmen is essential to maximize the runs a batting team scores. However, this is a computationally complex problem to solve. This study proposes the use of genetic algorithm to optimize the batting lineup of a team to help it maximize the runs scored in an innings. The test results indicate, by using the genetic algorithm, the number of runs scored batting first by the full member teams in the last five years can be improved by 5.46% on average.
Predicting suicidal thoughts in a non-clinical sample using machine learning methods

Objective: When examining the causes of suicide – an important public health problem – various psychological, social, cultural, and biological factors come to light. Given the complex nature of suicide, machine learning techniques have recently been used in psychological and psychiatric research. Machine learning is defined as the programming of computers to improve their performance using sample data or past experience. This study aims to predict suicidal thoughts in a non-clinical sample using supervised learning classification algorithms, one of the machine learning methods. This method is based on the risk and protective factors associated with suicide. Method: The Personal Information Form, Coping Attitudes Assessment Scale, and Rosenberg Self-Esteem Scale were used as data collection tools. The study comprised 1,940 participants, with ages ranging between 18 and 30 (x=20.48, SD=2.45). Results: Using the ensemble learning model with the Hard Voting approach, the prediction rate for a “yes” answer to the question “Have you had suicidal thoughts in the past year? ” was determined to be 82%. Conclusion: This study is believed to contribute to prevention efforts by addressing potential future suicidal thoughts and preventing existing suicidal thoughts from evolving into actions. This contribution considers suicide-related warning signals and associated protective and risk factors.
Effect of Cyclic Heat Treatment on Microstructure and Mechanical Properties of AA 6061-T6 Aluminum Alloy

Accepted: 21st Nov. 2020 Abstract The effects of the repeated solution heat treatment on hardness, tensile strength and microstructure of aluminum were investigated. For this purpose, an alloy of AA6061-T6 was undergo to cyclic solution heat treatment process which is composed of repeated period (10 min) held at 520 °C for 1, 4, 8 and 12 cycles. The hardness was tested for five aging times (as quenching, one week, three weeks, one month and five months) to all cycles (1, 4, 8 and 12) firstly and it is found that the hardness of five months as aging time for all cycles has the best results (90Hv) as compared with others (as quenching, one week, three weeks, and one month), so it was adopted for all cycles to implement the tensile test and the microstructure. Hardness results were improved to Vickers hardness of (90Hv) with increasing of cycles up to 8 cycles then decreasing after that to (45Hv). Tensile results were showed an increment (34%) also for the same group of 8 cycles compared with (17%) and (9%) for 4 and 12 cycles, respectively. Microstructure is revealed that whenever cycles are increased, the precipitate phase in alloy is increased also, thus, it is improved the hardness and tensile strength.
Transhumant pastoralism in Indian western Himalaya: traditional ecological knowledge and contemporary practices

ABSTRACT Transhumant pastoralism guided by traditional ecological knowledge (TEK) helps people in adapting to extreme biophysical conditions and remoteness in the high-altitude region of the western Himalaya. However, the age-old practice is currently under threat due to changes in socioeconomic, policy and environmental conditions, which may lead to erosion of pastoralism-related TEK. This study was undertaken to document traditional knowledge concerning transhumant pastoralism of the Kinnaura community in three high-altitude villages, namely Chhitkul, Rakchham and Batseri in the Kinnaur district of Himachal Pradesh, India, using semi-structured interviews and participant observation methods. A total of 38 key informants were interviewed to elicit information about the contemporary practices and TEK related to transhumant pastoralism. The study found that the transhumant pastoralism is not only intricately linked to sociocultural life but also contribute significantly to the livelihood of Kinnaura community and hired herders. Findings revealed that the pastoralists are the repository of vast knowledge on various aspects of sheep- and goat-based transhumance, viz. herd composition and management, grazing and supplementary feeding and ethnoveterinary practices. It is concluded that the study would help policy decisions for the preservation and protection of transhumant pastoralism-related TEK of the indigenous Kinnaura pastoralists. Further, considering the nexus between TEK and ecosystem services, this study would also contribute in well-being of the human society and resilience of the similar social-ecological systems.
Hexamethyldisiloxane Removal from Biogas Using a Fe3O4–Urea-Modified Three-Dimensional Graphene Aerogel

Volatile methyl siloxanes (VMS), which are considered to be the most troublesome impurities in current biogas-cleaning technologies, need to be removed. In this study, we fabricated a series of Fe3O4–urea-modified reduced graphene-oxide aerogels (Fe3O4–urea–rGOAs) by using industrial-grade graphene oxide as the raw material. A fixed-bed dynamic adsorption setup was built, and the adsorption properties of the Fe3O4–urea–rGOAs for hexamethyldisiloxane (L2, as a VMS model pollutant) were studied. The properties of the as-prepared samples were investigated by employing various characterization techniques (SEM, TEM, FTIR, XRD, Raman spectroscopy, and N2 adsorption/desorption techniques). The results showed that the Fe3O4–urea–rGOA–0.4 had a high specific surface area (188 m2 g−1), large porous texture (0.77 cm3 g−1), and the theoretical maximum adsorption capacity for L2 (146.5 mg g−1). The adsorption capacity considerably increased with a decrease in the bed temperature of the adsorbents, as well as with an increase in the inlet concentration of L2. More importantly, the spent Fe3O4–urea–rGOA adsorbent could be readily regenerated and showed an excellent adsorption performance. Thus, the proposed Fe3O4–urea–rGOAs are promising adsorbents for removing the VMS in biogas.
On Inverse Eigenvalue Problems of Quadratic Palindromic Systems with Partially Prescribed Eigenstructure

The palindromic inverse eigenvalue problem (PIEP) of constructing matrices A and Q of size n × n for the quadratic palindromic polynomial P ( λ ) = λ 2 A (cid:63) + λQ + A so that P ( λ ) has p prescribed eigenpairs is considered. This paper provides two diﬀerent methods to solve PIEP, and it is shown via construction that PIEP is always solvable for any p (1 ≤ p ≤ (3 n + 1) / 2) prescribed eigenpairs. The eigenstructure of the resulting P ( λ ) is completely analyzed.
Traditional knowledge and use of plants as agricultural insecticides from a gender perspective in three rural communities of the Ecuadorian Andes

Research Abstract Background. In Ecuador, plants have traditionally been used to control crop pests as an alternative to chemical pesticides. In this study, we evaluate the state of knowledge surrounding these plants among farmers in three rural communities of the Ecuadorian Andean region and analyze, in turn, whether this knowledge is conditioned by gender. Methods. Semi-structured surveys were designed with demographic information, as well as information related to the use of plants to control pests in crops. A total of 240 surveys were administered to farmers in the three selected sectors (120 men and 120 women), followed by on-site visits to contrast the information collected. To determine the importance of the species, the use value (UV) of each species was analyzed, and the Fidelity Level (FL) and informant consensus factor (ICF) indices were established to quantitatively analyze the consensus among the responses collected. The number of species used was also analyzed, as well as the possible differences in the way in which these species were prepared and handled, depending on the genus. Results. Thirty-four percent of respondents use plant-based insecticides as the main source of pest control. A total of 21 species were identified for this purpose. The species with the highest use values were Ruta graveolens L. ( ruda ) (UV=0.62), Capsicum annuum L. ( ají) (UV=0.58), and Allium sativum L. ( ajo) (UV=0.35). The majority of respondents (60 %) use them to treat the pest caused by Bemisia tabaci Gennadius ( white fly ). The main form of preparation consists of the maceration of 2-3 species, which is applied preventively every 15-30 days. From the surveys, there are slight differences in usage between men and women. There is a higher percentage (55 vs. 40 %) of usage in women, while the average number of species and total number of species are both similar (between 2 and 3 species used in combination and 18 vs. 17 species, respectively). The main differences are of a qualitative nature and refer to the different use values of some species compared to others. Conclusions. The results of this work show a worrying erosion of knowledge concerning the use of plant species as insecticides for agriculture. Only 34 % of the respondents use them and only two species have a UV > 0.5 ( R.graveolens and C. annuum ). Although there are slight differences in usage between men and women, most of these differences refer to the preference of some species over others and, therefore, knowledge of these species does not seem to be significantly influenced by gender.
The relationship between cumulative adversities, exposure to violence, gender and mental health : a study of the workplace in Gauteng province, South Africa

This study investigated (l) whether there wiq be a relationship between cumulative adversities and the quality of mental health, (2) whether there will be a relationship between exposure to violence during childhood and poor mental health and (3) whether there will be a significant difference between gender, cumulative adversities, and exposure to violence and mental health. Data were collected from five hundred participants that were randomly selected from three different hospitals in Gauteng Province. Age of participants ranged between 18-65 years. Males were 251 (50.2%) and females were 249 (49.8%). Mean age of employees was 33.8 years (SO= 11.03). Results showed that cumulative adversities (Family, childhood, personal) and exposure to violence (direct and indirect witnessing of violence in childhood) jointly and significantly predicted poor mental health of workers. The variables, family cumulative adversity, personal c~mulative adversity, indirect exposure and direct exposure explained 59% of the total variance on poor mental health. The Durbin-Watson result ( 1.58) is less than 2 and therefore shows that the assumption of independent error is met for this model. Results for hypothesis three showed significant main effects for gender on two of the cumulative adversity measurements; family adversity and personal adversity. In addition, there was also a significant main effect for direct exposure to violence. There were no significant results for childhood cumulative adversity, indirect exposure and the four subscales of mental health-somatic complaints, anxiety, social dysfunctions and depression. Workplace programmes which promote positive health can improve the mental wellness of employees; hence several preventive recommendations were made in line with the findings of the study.