Miracle-dz/UniFAR-FTUs huggingface dataset:
The Contribution of Co-Worker Social Support on Burnout of School Counselor

This study aims to examine the contribution of co-workers social support to the condition of school counselor burnout. This study uses a descriptive correlational quantitative method. The study population was a high school counselor SMAN in Pekanbaru . The sample amounted to 52 people who were determined by the Sampling total sampling technique. The instrument used was co-workers social support questionnaire and burnout with a Likert scale model . Instrument reliability test results co-worker social support 0.959 and burnout conditions of 0.976. The research data were analyzed using simple regression. The research findings show that there is a contribution of co-workers social support to the conditions of school counselor burnout by 37.4%. The implications of the results of the study can be used as an effort to improve the quality of guidance and counseling services, especially in increasing social support for work towards the conditions of school counselor burnout.
Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges

Artificial neural networks (ANNs) ability to learn, correct errors, and transform a large amount of raw data into beneficial medical decisions for treatment and care has increased in popularity for enhanced patient safety and quality of care. Therefore, this paper reviews the critical role of ANNs in providing valuable insights for patients’ healthcare decisions and efficient disease diagnosis. We study different types of ANNs in the existing literature that advance ANNs’ adaptation for complex applications. Specifically, we investigate ANNs’ advances for predicting viral, cancer, skin, and COVID-19 diseases. Furthermore, we propose a deep convolutional neural network (CNN) model called ConXNet, based on chest radiography images, to improve the detection accuracy of COVID-19 disease. ConXNet is trained and tested using a chest radiography image dataset obtained from Kaggle, achieving more than 97% accuracy and 98% precision, which is better than other existing state-of-the-art models, such as DeTraC, U-Net, COVID MTNet, and COVID-Net, having 93.1%, 94.10%, 84.76%, and 90% accuracy and 94%, 95%, 85%, and 92% precision, respectively. The results show that the ConXNet model performed significantly well for a relatively large dataset compared with the aforementioned models. Moreover, the ConXNet model reduces the time complexity by using dropout layers and batch normalization techniques. Finally, we highlight future research directions and challenges, such as the complexity of the algorithms, insufficient available data, privacy and security, and integration of biosensing with ANNs. These research directions require considerable attention for improving the scope of ANNs for medical diagnostic and treatment applications.
Magnetization loss for stacks of ReBCO tapes

The AC loss measurements of the high temperature superconductor (HTS) cable prototype in the EDIPO test facility motivated detailed investigations of the loss contributions from the tape, strand and cable stages of the HTS fusion conductor design proposed at the Swiss Plasma Center. As an initial step of the task, magnetization tests of soldered stacks of HTS tapes were carried out at temperatures of 5 and 77 K and magnetic fields up to 12 T using the vibrating sample magnetometer technique. The influence on the magnetization loss of the number of tapes, width of the tape, field’s orientation and tape’s manufacturer is studied experimentally performing both the major and minor magnetization loops with different ramp rates of the applied magnetic field. In order to validate the test results, a numerical model is developed and presented in this work. From the numerical model we also deduced an analytical approach for the magnetization loss in the stacks of tapes with arbitrary number of tapes in the critical state model. Comparison between the measured and estimated magnetization loss of the cable prototypes is reported as well.
Finite-Time Boundedness Control for Nonlinear Networked Systems with Randomly Occurring Multi-Distributed Delays and Missing Measurements

This paper investigates the stochastic finite-time H∞ boundedness problem for nonlinear discrete time networked systems with randomly occurring multi-distributed delays and missing measurements. The randomly occurring multi-distributed delays and missing measurements are described as Bernoulli distributed white noise sequence. The goal of this paper is to design a full-order output-feedback controller to guarantee that the corresponding closed-loop system is stochastic finite-time H∞ bounded and with desired H∞ performance. By constructing a new Lyapunov-Krasovskii functional, sufficient conditions for the existence of output-feedback are established. The desired full-order output-feedback controller is designed in terms of the solution to linear matrix inequalities (LMIs). Finally, a numerical example is provided to show the validity of the designed method.
Optimal investment and risk control for an insurer with partial information in an anticipating environment

Abstract This paper considers an optimal investment and risk control problem under the criterion of logarithm utility maximization. The risky asset process and the insurance risk process are described by stochastic differential equations with jumps and anticipating coefficients. The insurer invests in the financial assets and controls the number of policies based on some partial information about the financial market and the insurance claims. The forward integral and Malliavin calculus for Lévy processes are used to obtain a characterization of the optimal strategy. Some special cases are discussed and the closed-form expressions for the optimal strategies are derived.
An Unusual Presentation of Giant Cell Tumour of Bone in the Talus: A Case Report and Literature Review

Giant cell tumours (GCTs) of the bone often arise in the long bones while occurrence in smaller bones of the hand and feet is very rare. We report a case of GCT in the talus of a 17-year-old male who presented with a six-month history of worsening pain in his left ankle and loss of function, reducing his ability to walk and participate in sports. Radiographs of the ankle showed bony overgrowth on the head and neck of the talus with cortical breaching. MRI revealed possible extension into soft tissue and bone marrow oedema. CT scan also revealed an aggressive lytic lesion at the head and neck of the talus. He was managed with intralesional curettage and autologous bone grafting with bone harvested from the left knee. There was no evidence of recurrence at the six-month follow-up and the patient was able to walk freely. In conclusion, GCTs of the talus tend to occur in younger and healthier patients and have disastrous consequences if they persist, recur, or metastasize. Given the severe negative impact that GCTs have on a patient’s quality of life, they must be ruled out when investigating any ankle pain or reduced mobility. Current treatment options have produced consistently positive results while novel therapies that enable a faster return to weight bearing and reduce recurrence appear promising.
East African Journal of Forestry & Agroforestry

Agroforestry parklands, due to their dependency on rainfall remain vulnerable to climate change. This research assessed a rainfall gradient effect on sorghum height to evaluate its vigour for formulating recommendations to maintain and/or improve crop productivity in agroforestry parklands under climate change. Studied agroforestry parklands consisted of an association of Sorghum with Vittelaria paradoxa C. F Gaertn (Karite) and Parkia biglobosa (Jacq
Does the Experience of Being Phubbed by Friends Affect Psychological Well-Being? The Mediating Roles of Loneliness, Relationship Satisfaction, and Self-Esteem

Phubbing is so common that many probably think it is harmless. Past research found that phubbing partners indirectly affected their well-being. The current study was aimed at investigating whether phubbing friends is also indirectly related to their well-being. A total of 457 smartphone users attempted an online survey from which 202 complete responses were included in the final analysis. The questionnaire contained measures of the experience of being phubbed by friends, psychological well-being, loneliness, friendship satisfaction, and self-esteem. A mediation analysis revealed a significant indirect effect of being phubbed by friends on psychological well-being, through the mediating roles of loneliness and relationship satisfaction and the sequential mediating roles of loneliness and self-esteem, and relationship satisfaction and self-esteem. Being phubbed by friends was associated with an increase in the phubbed friends’ levels of loneliness and a decrease in their levels of friendship satisfaction and, as a result, in a worsening of their psychological well-being. An increase in levels of loneliness or a decrease in levels of friendship satisfaction was also negatively associated with self-esteem and, in turn, with psychological well-being. These findings extend past research on partner phubbing by establishing new pathways between the experience of being phubbed by friends and psychological well-being. Overall, this study contributes important insights into friends’ use of smartphones in face-to-face settings by highlighting the psychological mechanism that explains the relationship between being phubbed by friends and the phubbed individuals’ psychological well-being.
Extending Regulatory Biokinetic Lead Models towards Food Safety: Evaluation of Consumer Baby Food Contribution to Infant Blood Lead Levels and Variability

The U.S. Food and Drug Administration released proposed lead (Pb) action levels for foods intended for babies and young children in January 2023 based on the agency’s interim reference value of 2.2 µg/day for dietary Pb. Since the 1980s, biokinetic models have estimated blood lead levels (BLLs) associated with environmental contamination, but their use in food safety assessment has been limited. We compared three recent biokinetic models (IEUBK Model, ICRP Model Version 5, and AALM) to develop insights on contributors to variability in potential exposures to Pb in consumer baby food products. While modest variation was observed for babies, the predictions trended to convergence for children aged 3 and older, approaching the U.S. FDA dietary conversion factor of 0.16 µg Pb/dL blood per µg Pb intake/day. We applied the IEUBK model in a probabilistic exposure assessment framework characterizing the distribution of Pb in soil, dust, water, and food intake in the United States. Soil and dust were the primary contributors to variance in infant BLLs, while food and water contributed <15% combined. Thus, reductions in upper-bound soil and dust concentrations will be necessary before achieving appreciable reductions in the frequency of BLLs greater than the BLRV of 3.5 µg/dL.
Generating high-level structure for extended explanations (vols. I and II)

This dissertation analyzes the high-level features of naturally-occurring, extended explanations of a narrative/descriptive nature. Some of these features are independent of the rhetorical relations that conjoin the segments of a cohesively structured text. Others suggest that text structure is not completely recursive as has been claimed. These features have been incorporated into the Basic Block Model, a theory that describes the characteristics of good high-level structure for formal, extended explanations. This theory contends that good expository high-level structure consists of primary segments of text that are structured about coordinate themes that represent various aspects of a single, all-inclusive organizational scheme. The explanation should be relatively well-balanced, with each primary segment approximating a "preferred" size. These characteristics are dependent on the particular body of information to be presented. This dissertation contends that the recursive strategies that are popularly employed for explanation generation cannot guarantee high-level structure that meets the criteria of the Basic Block Model. In these popular approaches, high-level structure is a side effect of independent strategies concerned solely with local text organization as determined by rhetorical means; they are incapable of taking into consideration any global characteristics that may be inherent in the body of material to be conveyed. Rather, good high-level structure can only be insured if it is actively pursued as a goal in itself, using the inherent characteristics of the material to guide the process. A computational strategy is then presented for incrementally generating extended explanations whose high-level structure captures the features that are advocated by the Basic Block Model. This strategy is based on the hypothesis that good high-level structure is best determined by bottom-up processes that attempt to satisfy speaker, listener, and structural goals, after which top-down strategies can be used to organize the material within the established framework. This strategy has been implemented in the EEG, a system for generating extended explanations in an interactive environment.
A comparison in knee flexor and extensor strength following ACL reconstruction in international, male soccer players receiving patellar tendon or hamstrings grafts

The aim of this study was to compare knee extensor and flexor strength recovery following anterior cruciate ligament (ACL) reconstruction between bone-patellar tendon-bone (BPTB) and hamstring tendon (HT) grafts in international male soccer players undergoing comparable 6-month rehabilitation programmes. Seventeen players underwent ACL reconstruction with either an autogenous BPTB graft or HT graft. Knee extensor and flexor peak torques were measured at 3 months and 6 months in the injured and contralateral legs following surgery using isokinetic dynamometry. The moderate–large asymmetries in knee extensor peak torque between legs at 3 months across graft types (BPTB: p = 0.002, g = -0.94; HT: p = 0.02, g = -0.55) were reduced to trivial asymmetries at 6 months (BPTB: p = 0.30, g = -0.19; HT: p = 0.40, g = -0.16), with a non-significant difference in limb symmetry index (LSI) between grafts at 6 months (p = 0.62, g = -0.24). Similarly, moderate–large asymmetries in knee flexor peak torque between legs at 3 months across graft types (BPTB: p = 0.13, g = -0.50; HT: p = 0.01, g = -0.97) were reduced to trivial-small asymmetries at 6 months (BPTB: p = 0.25, g = 0.18; HT: p = 0.01, g = -0.47); however, a superior LSI was evident with BPTB compared to HT grafts at 6 months (p = 0.007, g = 1.43, large). Strength and conditioning professionals working with soccer players who are rehabilitating from ACL reconstruction after receiving a HT graft should give adequate attention to delivering suitable hamstring exercises that ensure optimal strength restoration.
Examining the Determinants of Mobile Banking App Continuance Intention in India: An Extension of the IS Success Model

Abstract This research investigates the factors that influence the post-adoption behavior of users of mobile banking applications, i.e., continuance intention. A research framework was proposed by extending the IS success model in the context of post-adoption behavior of mobile banking app users. A sample of 345 current users of mobile banking applications was selected using convenience sampling. Service quality, information quality, system quality, perceived risk, and perceived trust substantially affect customer satisfaction. Satisfaction has mediated the relationship between these indicators and the desire to continue using mobile banking services in India. Moreover, the key drivers of mobile banking continuation intention were service quality, perceived risk, trust, and satisfaction.
The Driving Factors of Earnings Management

One important part of the company's financial statements is earnings because it provides information to stakeholders about the company's performance. Earnings are used to evaluate management and one of the determinants of the amount of management compensation and to estimate the company's prospects in the future. Earnings management is a practice used by businesses to enhance financial statements over time. The purpose is to attract the attention of users of financial statements to make decisions on investing and granting credit. Therefore, the aim of this study is to determine whether independent commissioners, independent audit committee, audit committee expertise, activity audit committee, size audit committee, leverage, and firm size affect earnings management. This study uses non-financial companies listed on the Indonesia Stock Exchange (IDX) during the 2018-2020 period as research objects. The sample selection method used is purposive sampling. The results of this study indicate that leverage and firm size have a positive effect on earnings management. The higher the leverage, the higher the risk of default on the debt owned by the company, among other things because there is an element of uncertainty in business conditions. This is avoided by investors and is a factor that causes the company's management to practice profit management to beautify its financial reports company size has a positive effect on earnings management because large companies will tend to carry out earnings management so that the company is still considered good by investors. While independent commissioners, audit committee size, audit committee independence, audit committee expertise, and audit committee activities have no effect on earnings management.
Algal bloom prediction by support vector machine and relevance vector machine with genetic algorithm optimization in freshwater reservoirs

Purpose The purpose of this paper is to examine the applicability and capability of models based on a genetic algorithm and support vector machine (GA-SVM) and a genetic algorithm and relevance vector machine (GA-RVM) for the prediction of phytoplankton abundances associated with algal blooms in a Macau freshwater reservoir, and compare their performances with an artificial neural network (ANN) model. Design/methodology/approach The hybrid models GA-SVM and GA-RVM were developed for the optimal control of parameters for predicting (based on the current month’s variables) and forecasting (based on the previous three months’ variables) phytoplankton dynamics in a Macau freshwater reservoir, MSR, which has experienced cyanobacterial blooms in recent years. There were 15 environmental parameters, including pH, SiO2, alkalinity, bicarbonate (HCO3−), dissolved oxygen (DO), total nitrogen (TN), UV254, turbidity, conductivity, nitrate (NO3−), orthophosphate (PO43−), total phosphorus (TP), suspended solids (SS) and total organic carbon (TOC) selected from the correlation analysis, with eight years (2001-2008) of data for training, and the most recent three years (2009-2011) for testing. Findings For both accuracy performance and generalized performance, the ANN, GA-SVM and GA-RVM had similar predictive powers of R2 of 0.73-0.75. However, whereas ANN and GA-RVM models showed very similar forecast performances, GA-SVM models had better forecast performances of R2 (0.862), RMSE (0.266) and MAE (0.0710) with the respective parameters of 0.987, 0.161 and 0.032 optimized using GA. Originality/value This is the first application of GA-SVM and GA-RVM models for predicting and forecasting algal bloom in freshwater reservoirs. GA-SVM was shown to be an effective new way for monitoring algal bloom problem in water resources.
A Numerical Study of Convection Rolls in a Flow between Horizontal Parallel Plates

A parabolic flow between two horizontal parallel plates is considered, when the lower plate is heated and the upper plate is cooled uniformly. When the temperature difference between the top and bottom of the fluid layer exceeds a critical value, roll-type convection occurs with the axes parallel to the mean flow. The governing equations are solved numerically using the Boussinesq approximation for the range of Rayleigh number, 3 RacSRas7 Rac, where Rac is the value of the Rayleigh number at which infinitesimal perturbations can be just maintained. The Prandtl number is taken as 0.713. In all cases investigated, the system achieves a steady state. The thus calculated distribution of the velocity component in the direction of the mean flow agrees well with Mori and Uchida's experiment (1966) for Ra=4.69 Rac and the Reynolds number= 513. The agreement between the calculated and experimental temperature fields is rather poor however. For the range of Rayleigh numbers considered, the non-dimensional Nusselt number is found to vary in proportion to the 0.328 power of the Rayleigh number, very close to the 1/3 power variation predicted on dimensional reasoning for the Benard-Rayleigh convection problem.
UVC-Based Biofouling Suppression for Long-Term Deployment of Underwater Cameras

Spatially distributed underwater sensor systems are important tools to understand long-term trends in marine ecosystems. For example, in the ongoing UFOTriNet project, noninvasive techniques for the purpose of monitoring fish populations are investigated. A challenge within this and related projects is the long-term operation of cameras in brackish and fully saline water. The impact of biofouling, especially on the underwater cameras, should be minimized for reliable imaging. In the context of the UFOTriNet project, for this purpose, an energy-efficient and environmentally friendly antifouling concept based on UVC irradiation was developed and investigated to extend operation times and to reduce energy and maintenance costs. Innovative contributions include LED-based UVC irradiation from the inside of the camera's pressure housing into the water column, periodic UVC irradiation intervals that are significantly shorter than those commonly reported, and an analysis and comparison of the irradiance for internal and external irradiation configurations. The concept was confirmed by a measurement campaign in the Kiel Fjord, located in the southwest Baltic Sea.
The Health Status of the US Veterans: A Longitudinal Analysis of Surveillance Data Prior to and during the COVID-19 Pandemic

Chronic diseases affect a disproportionate number of United States (US) veterans, causing significant long-term health issues and affecting entitlement spending. This longitudinal study examined the health status of US veterans as compared to non-veterans pre- and post-COVID-19, utilizing the annual Center for Disease Control and Prevention (CDC) behavioral risk factor surveillance system (BRFSS) survey data. Age-adjusted descriptive point estimates were generated independently for 2003 through 2021, while complex weighted panel data were generated from 2011 and onward. General linear modeling revealed that the average US veteran reports a higher prevalence of disease conditions except for mental health disorders when compared to a non-veteran. These findings were consistent with both pre- and post-COVID-19; however, both groups reported a higher prevalence of mental health issues during the pandemic years. The findings suggest that there have been no improvements in reducing veteran comorbidities to non-veteran levels and that COVID-19 adversely affected the mental health of both populations.