Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Swimming Training and Cinnamon Consumption on the Gene Expression of GLUT4 and Insulin Receptor in the Brown Adipose Tissue of Diabetic Rats

Background: The effect of training on the gene expression of GLUT4 and insulin receptor (IR) has been investigated in some studies, but the simultaneous effect of swimming training along with cinnamon consumption is unknown. Objective: This study aimed to examine the effect of six weeks of swimming training with cinnamon consumption on the gene expression of GLUT4 and IR in the brown adipose tissue of diabetic rats. Methods: In this experimental study, 28 diabetic rats were randomly divided into four groups of seven animals, including 1- control (C), 2- cinnamon (Ci), 3- swimming (S), and 4- swimming plus cinnamon (S + Ci). Rats in groups 3 and 4 trained for six weeks and five sessions. Groups 2 and 4 received 200 mg/kg/day. Data were analyzed using one-way analysis of variance and Tukey’s post hoc test at the level of P ≤ 0.05. Results: The gene expression of GLUT4 and IR in the S, Ci, and S + Ci groups was significantly (P = 0.001) higher than the control group. Also, the gene expression of GLUT4 and IR in the S group was significantly (P = 0.001) higher than the Ci and S + Ci groups. Conclusion: Swimming training and cinnamon consumption and their simultaneous implementation had a significant effect on increasing the gene expression of GLUT4 and IR in the brown adipose tissue of diabetic rats. On the other hand, swimming training alone had a greater effect than cinnamon consumption and swimming plus cinnamon consumption.
The Effects of a Nutrition Education Program on Dietary Intake and Biomarkers in HIV+ Adults

Background. People living with HIV (PLWH) have increased risk of cardiovascular disease (CVD). Dietary behavior modification may assist in the treatment of CVD, but the optimal dose of nutrition education is unknown. The current aim was to determine if a weekly 1-hour nutrition education program would improve multiple outcomes among PLWH. Methods. Participants (n = 62) were assessed on dietary intake, serum biomarkers, and physical characteristics at baseline and 3 months, and percent change was calculated. Participants were grouped into 3 attendance categories of the classes: none, fair, or good. Analyses of covariance were performed on the outcomes. Results. Calories, protein, fat, saturated fat, carbohydrate, sugar, added sugar, and glycemic load were significantly different (all P values <.05). Those who attended no class typically had increases in these variables versus those with fair or good attendance. High-density lipoprotein cholesterol (HDL-C; P = .006) and total cholesterol/HDL-C ratio (P = .083) were different, as those who attended no class or had fair attendance worsened, but those with good attendance improved. Conclusions. Several outcomes improved more so among those with good class attendance versus those with either fair or no attendance. Thus, an interactive nutrition education program may be an effective tool to help improve the health of PLWH.
Interactive effects of potassium and saline water on yield, nutrient accumulation and uptake by rice

A pot culture experiment was conducted to assess the interaction effects of salinity and potassium nutrition on rice during 2018.A pot experiment was conducted in CRD with three replications and twelve treatments consist of four levels of saline water (0, 2, 4 and 8 dS m-1) and three doses of potassium (60, 120 and 180 kg ha-1). The crop received a common dose of N @ 120 kg ha-1 (in splits) and P @ 60 kg ha-1. The crop received saline water irrigation up-to saturation point at 30, 45, 60 and 80 DAP (days after planting). The study indicated that the cumulative application of saline water @ 4 and 8 dS m-1 decreased the grain yield and straw yield, yield components, potassium content and uptake by rice whereas, sodium content and uptake increased significantly at higher level of salinity (4 and 8 dS m-1). The adverse effect of Na was reduced with application of potassium. The grain and straw yield, yield component, potassium content and uptake by rice was increased with increasing the dose of potassium. The sodium content and uptake by rice was reduced significantly with higher dose of potassium (180 kg ha-1) application. Based on the present study, split application of potassium @ 180 kg ha-1 is recommended for rice in saline soil. The K+/Na+ ratio in soil and plant can be considered as a best indicator in evaluating crop performance in saline soil.
Structural and optical characterization of ZnO thin films deposited by sol-gel method

Zinc oxide is a promising semiconductor material with a variety of applications. Transparent, highly crystalline and crack-free film was deposited on corning glass. A transparent sol of 0.33 mol/l was prepared by dissolving Zinc acetate dihydrate in 2-methoxyethanol using mono-ethanolamine as sol stabilizer. Addition of few drops of water turns the sol immediately into milky gel form. The film was annealed in oxygen environment at 500°C for one hour and characterized by X-ray diffraction, Atomic force microscopy, UV-VIS spectroscopy and Raman spectroscopy. Thickness and roughness was measured by Surface profiler.
Uptake, Storage, and Utilization of Soil-applied Nitrogen by Thompson Seedless as Affected by Time of Application

A grapevine9s need for nitrogen (N) is most critical during the period of rapid shoot growth in spring through bloom and early berry development. Timing of fertilizer applied to the soil necessary to maximize nitrogen in leaf tissue during this period was evaluated in two mature Thompson Seedless vineyards. Application periods, using labeled ammonium sulfate, included budbreak, July, and post harvest in late September. Application in July and September resulted in the highest content of labeled nitrogen in dormant storage tissue, and in leaf tissue during rapid spring growth and at bloom. It is apparent that labeled nitrogen stored in roots, trunk, and canes during dormancy was redistributed to support early spring growth. Nitrogen applied at budbreak had insufficient time for uptake to become a significant fraction of total N in leaf tissue by bloom.
Meet Today’s Young News Users: An Exploration of How Young News Users Assess Which News Providers Are Worth Their While in Today’s High-Choice News Landscape

Abstract If news companies are to survive in today’s highly competitive media landscape, they need to stay worthwhile to news users. However, news companies’ quantitative audience analytics have difficulties grasping news users’ increasingly complex ways of finding and consuming news. This is especially the case for younger news users familiar with high-choice, digitized media formats. To better understand how these news users negotiate and assess news providers' worthwhileness, we conducted 20 qualitative in-depth interviews with young Danes. Our findings show that the participants distinguished between seven desired news services, and that they perceived news providers to be worthwhile if they could deliver the news services they desired for an appropriate level of personal effort. In this way, our findings suggest that an increased focus on specific desired news services can help news companies as well as scholars to more comprehensively understand the uses and preferences of younger news users. This study aims to go beyond the quantitative nature of many uses and gratifications studies, allowing for new categories to emerge – categories which, this study finds, play a very central role in how young news users navigate and assess news providers’ worthwhileness in today’s complex media landscape.
Extraction of anthocyanins from Mortiño (Vaccinium floribundum) and determination of their antioxidant capacity

Mortiño (Vaccinium floribundum) is a wild Andean berry, with a high content of bioactive compounds, especially anthocyanins, with protective effects against various diseases due to their antioxidant capacity. The aim of this study was to determine the best anthocyanin extraction conditions without affecting the mortiño antioxidant capacity. A completely randomized design with factorial arrangement 23 was applied in the extraction (solvent: ethanol and methanol; concentration: 20 and 60%; temperature: 30 and 60 °C). The anthocyanin content showed that the best extraction conditions were 20 and 60% hydroethanolic solution at 60 °C (P<0.05). For the antioxidant capacity, the treatments were analyzed in a factorial arrangement 22: ethanol and methanol 20%; 30 and 60 °C. The highest antioxidant capacity was found at 20% ethanol and 60 °C (19,653.3±256.62 µmol TE 100 g-1 FW (fresh weight)) by the FRAP method (Ferric Reducing Antioxidant Power) (P<0.05), and with the ABTS methodology, methanol and ethanol (20%), at 60 °C (8458.3±127.45 and 8,258.0±325.05 µmol TE 100 g-1 FW, respectively) (P<0.05). Extraction at 60 °C did not affect the antioxidant properties of anthocyanins. A high correlation was found between both methodologies by Pearson’s Correlation (PC=0.898). In addition, the antioxidant capacity measured by the two methods was highly related to the anthocyanin content of the extracts (PC=0.973 and 0.952, respectively). Other berry species have been extensively investigated for their antioxidant compounds, but there is limited information about the optimization of anthocyanin extraction from mortiño and its high antioxidant capacity important for future industrial applications. As a result, ethanol at 20 and 60%, 60 °C for h are the best conditions to extract and quantify the anthocyanins of the mortiño fruit.
Knowledge, attitude, and practices of parents of children with febrile convulsion in Al-Qassim, Saudi Arabia

Background: Febrile convulsion (FC) is a condition that can emotionally traumatize parents, especially if there is a shortage of information on how to deal with it. This study was conducted to determine parents' knowledge, attitude, and practices toward their children with FC. Methodology: This is an observational cross-sectional study conducted in public areas in the Al Qassim region between February and May 2020. A self-administered questionnaire translated from English into Arabic was distributed among parents. The questionnaire was divided into four sections. The first gathered basic demographic data, and the three remaining sections were questions to measure knowledge, assess attitude, and determine the respondents' practices concerning FC. All statistical analyses were carried out using Statistical Package for Social Sciences Version 21. Results: The total mean knowledge score was 3.86 (SD 1.63) out of nine points. Of the parents, 67.8% had poor and 32.2% good knowledge of FC. The total mean attitude score was 2.24 (SD 1.19) out of five points, where negative and positive attitudes were identified for 57% and 43% of the parents, respectively. For practice, the mean score was 3.89 (SD 1.44) out of six points, with poor and good practice accounting for 41.6% and 58.4% of parents, respectively. Statistical tests showed the knowledge score was significantly influenced by the number of children in the family (t = −2.305; p = 0.022) and the father’s educational level (t = −3.105; p = 0.002). Conclusion: Although FC's knowledge and attitude of parents of children with FC were suboptimal, their practices were found to be moderate. Having more than three children and an educated father significantly influenced the parents' knowledge of FC.
Responsible leadership and employees' turnover intention. Explore the mediating roles of ethical climate and corporate image

Purpose Employee turnover, building a positive corporate image and ethical lapses in the corporate world demand business leaders to perform their jobs with a higher sense of responsibility. This study aims to investigate the mediating effect of ethical climate and corporate image by using the corporate social responsibility theory and social identity theory. Design/methodology/approach A sample of 280 employees from the banking sector of Pakistan was collected through a questionnaire-based survey by using the convenience sampling technique. The structural equation modeling technique using Smart partial least square was used to test the hypothesized model. Findings The findings of the study affirmed a significant positive correlation between responsible leadership and ethical climate and ethical climate is significantly positively correlated with corporate image. Meanwhile, the corporate image is negatively correlated with employees’ turnover intention. Results further corroborate ethical climate mediating effect between responsible leadership and corporate image and corporate image likewise mediates between ethical climate and employee turnover intention. Research limitations/implications This study enriches the present literature on the subject of responsible leadership, ethical climate, corporate image and turnover intention from the employee’s point of view. Elucidating from previous studies, most of the investigations about the corporate image was conducted from the customers’ perspective and there has been a scarcity of studies focusing on employees’ perspective. Practical implications This study guides a value proposition that is concerned with the turnover of employees for human resource professionals from the banking industry. It explores a new dimension of the debate on employee turnover intention. Originality/value This study marks the first step toward corporate image as an organizational behavior construct by demonstrating that corporate image impact turnover intention. This study tests a model that demonstrates the role of ethical climate and corporate image in the linkage between responsible leadership and employees’ turnover intention.
Principal-principal conflicts leading to activism of a large government-owned investor in Brazil

How to cite this paper: Duarte, B. E. , & Leal, R. P. C. (2021). Principal-principal conflicts leading to activism of a large government-owned investor in Brazil. Corporate Governance and Organizational Behavior Review, 5(1), 15-25. https://doi.org/10.22495/cgobrv5i1p2 Copyright © 2021 The Authors This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). https://creativecommons.org/licenses/by/
Coagulation process for tannery industry effluent treatment using Moringa oleifera seeds protein: Kinetic study, pH effect on floc characteristics and design of a thickener unit

ABSTRACT The kinetics of coagulation process for turbidity removal from tannery industry effluent using NaCl solution extracted Moringa oleifera protein is reported here. The effect of initial pH of effluent on floc size and strength was analysed. Floc size decrease with increase in velocity gradient and hierarchy of floc size exponent at different pH was: acidic > neutral > basic. It was observed based on the half-life period data that the process follows a second-order kinetic model with 0.000862 (L/mg min) as the rate constant. The Talmadge–Fitch method is used to analyse batch sedimentation data for the calculation of area for the clarifier-thickener unit to treat 5 m3/h of tannery wastewater.
Anisotropic Electron Fluid Closure Validated by in Situ Spacecraft Observations in the far Exhaust of Guide‐field Reconnection

Anisotropic electron heating predictions of the equations of state of Le et al. (2009); https://doi.org/10.1103/PhysRevLett.102. 085001 (“the EoS”) are applied to reconnection in the Earth's magnetosheath. The model is applicable to open systems where electrons are streaming along magnetic field lines into the reconnection region, sourced by fixed external reservoirs of plasma ambient to the reconnection region. While spacecraft observations have previously shown the EoS to hold in the region near the X‐line, we find that for an event observed far downstream (∼100 di) from the X‐line both inflows and the exhaust follow the predictions of the EoS. Furthermore, the model underlying the EoS is extended to include additional perpendicular heating terms relevant to the considered event undergoing active magnetic compression with local electron trapping. The agreement between the spacecraft observations and the EoS emphasizes the roles of the ambient plasma sources and the dynamics of trapped and passing electrons in setting and controlling the anisotropic electron heating at large scale in naturally occurring plasma configurations.
Awareness, attitude, and practice of materiovigilance among medical professionals at a tertiary care institute of national importance: A cross-sectional study

Background: Medical faculty and residents have a key role in the reporting of adverse events associated with medical devices. However, at present, there are no published data regarding their knowledge, attitude, and practice about materiovigilance in India. Materials and Methods: This was a cross-sectional questionnaire-based survey done among medical faculty and residents of a tertiary care institution of national importance. The questionnaire consists of 15 questions pertaining to knowledge, attitude, and practice of materiovigilance. Results: The questionnaire was administered to 138 medical faculty and residents, out of which 105 responded constituting a 76% response rate. The mean knowledge score of medical faculty and residents was 2.09 ± 1.06 and 2.07 ± 1.02, respectively, and the difference between the two groups was not statistically significant (P = 0.9). The majority of the participants (92.63%) believed that medical device can cause adverse events; however, very few of them (20.13%) have reported it during their practice. Conclusion: Requisite knowledge and appropriate attitude are essential for developing healthy practice toward reporting of adverse events associated with medical devices. Our study revealed that the knowledge gap exists among medical professionals about the reporting of adverse events and the materiovigilance program. A continuous effort is required to make them aware of the materiovigilance by conducting various training programs such as continuous medical education and workshops by the coordinators of the medical device adverse events monitoring center.
Event-triggered adaptive fault-tolerant control for multi-agent systems with unknown disturbances

This paper presents an event-triggered consensus control protocol for a class of multi-agent systems with actuator faults, sensor faults and unknown disturbances. The adaptive neural network compensation control method is introduced to solve the problem of sensor faults. The event-triggered mechanism is developed to reduce the communication burden. In the control design process, the radial basis function neural networks are used to approximate the unknown nonlinear functions, and a nonlinear disturbance observer is used to eliminate the effect of unknown external disturbances. Furthermore, based on the graph theory and Lyapunov stability theory, it is further shown that the consensus tracking errors are semi-globally uniformly ultimately bounded. Finally, the simulation example illustrates the effectiveness of the designed control protocol.
Could the Fucus Spiralis Algal Extract Prevent the Oxidative Stress in Tetrahymena Pyriformis Model?

Algae are well-known to be exceptionally rich sources for biologically active metabolites and have recently gained recognition for their therapeutic applications. This study is designed to assess the phenolic composition of five algae and evaluate their antioxidant and protective effects against hydrogen peroxide (H2O2) induced cytotoxicity in the protozoa Tetrahymena pyriformis. Successive fractionations of five algae using five solvents were performed. Spectrophotometric methods were used to determine the total phenolic and flavonoid contents. The antioxidant capacities of fractions of these five algae were assessed through three in vitro tests (DPPH, ABTS, and FRAP). The active fractions were further evaluated for their ability to attenuate H2O2 induced toxicity in T. pyriformis. Fucus spiralis has rich phenolic contents from chloroform (CHCl3) and ethyl acetate (EtOAc) fractions, averaging 65±0.90 μg GAE/mg fraction and 429.81±9.36 μg GAE /mg fraction, respectively. This algae also showed significant FRAP (261.53±5.40 and 117.66±0.40 μg /mL), DPPH (IC50: 49.51±3.29 and 55.48±0.20 μg) and ABTS (IC50: 50.73±2.62 and 219.82±5.47 μg /mL) results. The treatment with 300 μM H2O2-induced oxidative stress as shown by the significant decrease in the cell viability and the number of cells increases in CAT, SOD, GPx activities, and the levels of GSH and MDA. However, the treatment with EtOAc and CHCl3 fractions from F. spiralis appeared to be effective against cytotoxicity and the redox changes induced by H2O2. The results indicate that F. spiralis is a promising source of antioxidant and nutraceutical compounds for pharmaceutical purposes.
GM-CSF: Anti-Cancer Immune Response and Therapeutic Application

A primary focus of cancer therapeutics today is precision, or target directed, therapy. Combination treatment with precision therapy can involve both immune and signal pathway targets. One approach involving the chemokine GMCSF involves enhancement of the immune system. Herein is a review of the literature and the current therapeutic role of GM-CSF, including the proposed immune mechanisms and potential applications of GM-CSF to enhance anticancer immunotherapy. GM-CSF’s potent effects on dendritic cell activation and subsequent stimulation of T-lymphocyte activity make it an attractive potential addition to combination therapeutic regimens, including radiation therapy, oncolytic viral therapy, immune checkpoint inhibition, and autologous tumor vaccines, and warrants further clinical exploration, with an emphasis on identifying concomitant molecular pathways that mediate resistance and sensitivity to the GM-CSF effect.
Sensor Fault Estimation in a Probabilistic Framework for Industrial Processes and its Applications

In this article, a new sensor fault estimation algorithm is proposed for industrial processes described by linear discrete-time systems, where the fault dynamics are modeled as a stochastic process. By performing the variational Bayesian inference, the potential sensor fault, as well as the system states, is estimated simultaneously in a probabilistic framework. It is shown that the target fault signal can be satisfactorily estimated through the proposed method, without knowing the statistics of measurement noise and fault coefficient matrix. The efficiency and superiority of the proposed method are demonstrated through numerical simulations and experimental tests performed on a hybrid tank system.
A Bidirectional Long Short-Term Memory-Based Ionospheric foF2 and hmF2 Models for a Single Station in the Low Latitude Region

Equatorial electrojet (EEJ) and the subsequent development of equatorial ionization anomaly (EIA) are responsible for the highly complex and nonlinear variability nature of the ionosphere. Prediction of ionospheric parameters like Ionospheric F2 layer Critical frequency (foF2) and peak height (hmF2) feature at low latitude regions is of significant interest in understanding the ionospheric weather effects on communication and navigation systems. The role of artificial intelligence-based machine learning algorithms is successful in the prediction of ionospheric variability. In this letter, a deep learning model based on Bidirectional long short-term memory (Bi-LSTM) technique is implemented for predicting foF2 and hmF2 parameters. The Bi-LSTM method was trained and tested on one-year (2015) ionospheric foF2 and hmF2 data from Canadian Advanced Digital Ionosonde (CADI) located at Hyderabad, India (17.47 °N, 78.57 °E). Bi-LSTM model captures time sequence processing features using past and present foF2 and hmF2 data samples. It is evident from the results that the Bi-LSTM model performs better than long short-term memory (LSTM), neural networks (NNs), and International Reference Ionosphere (IRI) 2016 models in predicting foF2 and hmF2 values. The performance of the Bi-LSTM model tested and found to better predict ionospheric foF2 and hmF2 features for two significant geomagnetic storms occurred in the year 2015 (March and June).