Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Financial Ratios on Bank Performance Before and During COVID-19: Evidence from Bank Business Activities Category 3 and 4 in Indonesia

Keeping in mind the year 2020 until the end of 2022, the COVID-19 pandemic and its economic turmoil shocked banking sectors. The COVID-19 pandemic has caused significant disruptions to economies across the globe, and Indonesia is no exception. As a result, the banking sector in Indonesia has been particularly affected. This research aims to investigate the banking situation in Indonesia during COVID-19 and how it has affected bank profitability (ROA). Profitability is a ratio that measures the company's ability to generate profits. Return on Assets (ROA) is one of the profitability ratios. Return on assets (ROA) is a commonly used financial ratio that measures a company's profitability. For this research, the dependent variable is return on asset to measure bank profitability. The independent variables are non-performing loan, net interest margin, operating expense to operating income, loan-to-deposit ratio, and capital adequacy ratio. This research also uses control variables. The control variables in this research are bank size, GDP growth, inflation, and interest rates. Since this research also aims to investigate the effect of the COVID-19 pandemic on banks' profitability. The covid-19 pandemic is also an independent variable used as a dummy. The sample used in this research are commercial banks business activity category 3 and 4. The methodology of this research utilises panel data and a two-step system GMM. Thus, this research has discovered that COVID-19 affected ROA negatively and significantly. Additionally, the financial ratios that affected ROA are NIM and OEOI.
Information sources and climate change mitigation support

This study examined the relationship between information sources and support for climate change mitigation among undergraduates at Adeleke University. A simple random sampling technique was used to survey the students anonymously. Data analysis involved descriptive and inferential statistics. Results showed that a majority of the 688 participants expressed support for climate change mitigation actions, such as reducing fossil fuel usage, planting trees, and reducing meat intake. The main sources of climate change information for students were Google, Television, friends, family, Facebook, Radio, YouTube, and Instagram. However, Twitter, newspapers, church/mosque, and religious leaders were not commonly used as primary sources. Notably, sourcing climate change information from newspapers had a significant positive relationship (p = 0.036) with support for mitigation measures. The study concluded that information sources play a crucial role in generating support for climate change mitigation efforts. It recommended promoting newspaper readership to enhance awareness and support for sustainable practices, collaborating with newspapers to feature informative climate change content, engaging with Twitter users for accurate information dissemination, and partnering with religious institutions to incorporate climate change messages into teachings and support grassroots initiatives.
Determinants of the remittances sent to Mexico 1980-2022: was there a structural change?

Objective: We identify a new long-term relationship between remittances, Mexico’s GDP, the United States Industrial Production Index, and the real exchange rate.Methodology: For a quarterly sample from 1980 to 2022, we identified a structural break on the 3rd quarter of 2002. We divided the initial sample into two subsamples in order to estimate the corresponding cointegration vectors.Results: The cointegration vector for the second subsample has two important changes as compared to that of the first subsample.Limitations and implications: It is implied that remittances can actually generate a stabilizing effect on the foreign exchange market.Originality and value: i) the sign of the estimated coefficient of the real exchange rate changes from negative to positive, ii) a time trend must be incorporated in the cointegration space.Conclusions: We identify a long-term relationship among remittances and the variables that determine them after the structural break.
Effect of Audit Delay, Audit Fee, Audit Tenure, and Going Concern Opinion for Voluntary Auditor Switching

This study examines the effect of audit delay, fees, tenure, and opinion going concern on voluntary auditor switching in financial sector companies listed on the IDX from 2017 to 2022. This research uses a quantitative approach with secondary data and a purposive sample of 222 companies. using logistic regression analysis with SPSS version 26. The results revealed that audit delay has a significant positive effect, while audit tenure has a significant negative effect on voluntary auditor switching. However, audit fees and going-concern opinions have no significant effect on voluntary auditor switching
Predicted lean body mass in relation to cognitive function in the older adults

Background Previous findings about lean body mass (LBM) and cognitive function remain unclear. We aimed to examine this association by using data from the National Health and Nutrition Examination Survey (NHANES). Methods Using data from the NHANES 2011-2014, we conducted logistic regression models to investigate the relation between the predicted LBM and domain-specific cognitive function assessed by Digit Symbol Substitution Test (DSST), Consortium to Establish a Registry for Alzheimer’s Disease Word Learning test (CERAD-WL) and Delayed Recall test (CERAD-DR), and Animal Fluency (AF) for information processing speed, memory, and executive function, respectively. Cognitive impairment was defined as the lowest quartile of each cognitive test in the total population. Sex-stratified analysis was further made. Results A total of 2955 participants aged 60 and above (mean [SD] age, 69.17[0.20] years; 1511 female [51.13%]) were included in the study. After being adjusted for social economic factors, anthropometric parameters, and diseases, we found a positive association between predicted LBM and information processing speed (Odds ratio of DSST impairment= 0.95, 95%CI= 0.91 to 0.99) regardless of body mass index and sex. Compared with patients in the first quartile of predicted LBM, those in the fourth quartile had an odds ratio of 0.355 (95% confidence interval 0.153-0.822) for DSST impairment. No significant relation in other cognitive tests and predicted LBM was found whether stratified by sex or not. Conclusion Our findings point to the association between predicted lean body mass and cognitive dysfunction in information processing speed, which could be used for early detection and prevention of deterioration of cognitive function among older adults.
Adoption of the ISA 500 and its Impact on Audit Quality and Fraud Reduction: Evidence from Iraq

This study aims to demonstrate how adopting the international auditing standard 500 will improve audit quality in audit agencies. The Financial Supervision Bureau auditors and the possibility of benefiting from the research results prompted a recommendation to the Auditor Profession Council to adopt the two international standards of evidence and to accomplish the study's objective; the Auditor Profession Council has adopted these standards. A questionnaire form was adopted for this purpose, and 100 questionnaires were distributed to a sample of auditors in Iraqi auditing agencies and 100 questionnaires to auditors in the Federal Financial Supervision Bureau. All 200 distributed questionnaires were retrieved, and the data were analyzed using the statistical analysis programs SPSS 23 and Amos to test hypotheses based on the path analysis model. The research concluded that the Iraqi Accounting and Supervisory Standards Board must adopt International Auditing Standard 500 due to the impact of this standard on audit quality and fraud reduction.
Unification of some multivariate process capability indices for asymmetric specification region

In manufacturing industries, it is often seen that the bilateral specification limits corresponding to a particular quality characteristic are not symmetric with respect to the stipulated target. A unified superstructure Cp′′(u,v) of univariate process capability indices was specially designed for processes with asymmetric specification limits. However, as in most of the practical situations a process consists of a number of inter‐related quality characteristics, subsequently, a multivariate analogue of Cp′′(u,v) , which is called CM(u,v), was developed. In the present paper, we study some properties of CM(u,v) like threshold value and compatibility with the asymmetry in loss function. We also discuss estimation procedures for plug‐in estimators of some of the member indices of CM(u,v). Finally, the superstructure is applied to a numerical example to supplement the theory developed in this article.
Influence of Lactobacillus plantarum administration on some serum/tissue (uterus) antioxidant and cytokine levels in female rats exposed to cadmium (Cd)

Recommended Citation KISADERE, İHSAN; GÜNER, BARIŞ; TAVŞANLI, HAKAN; AYDIN, MEHMET FARUK; and USTA, MUSTAFA (2023) "Influence of Lactobacillus plantarum administration on some serum/tissue (uterus) antioxidant and cytokine levels in female rats exposed to cadmium (Cd)," Turkish Journal of Veterinary & Animal Sciences: Vol. 47: No. 3, Article 12. https://doi.org/10.55730/1300-0128.4294 Available at: https://journals.tubitak. gov.tr/veterinary/vol47/iss3/12
Assessment of knowledge and practice of menstrual hygiene among high school

Introductions: The issue of menstrual cleanliness is deficiently recognized and has not gotten appropriate consideration. Utilization of clean cushions and washing the genital zone are fundamental practices to keep the menstrual cleanliness. Unhygienic menstrual practices can influence the wellbeing of the young ladies and there is an expanded weakness to regenerative tract contaminations and pelvic incendiary infections and different intricacies. Thusly, the goal of this investigation was to survey the learning and routine with regards to menstrual cleanliness among secondary school young ladies at Berhampur, Odisha. Materials and methods: A school based cross-sectional investigation configuration was utilized in Berhampur, Ganjam. A multi arrange examining system was utilized to choose 828 female secondary school understudies. Information gathering was done from May 04 to May 30, 2014 utilizing a pre-tried organized survey. The information were gone into a PC utilizing Epi-data form 3.5. 1 and after that traded to SPSS for Windows variant 20.0 for investigation. Bivariate and multivariate calculated relapse examination was done at 95% certainty interim. Results: In this investigation, 504 (60.9%) and 330 (39.9%) respondents had great information and routine with regards to menstrual cleanliness separately. The discoveries of the investigation demonstrated a huge positive relationship between great learning of feminine cycle and instructive status of moms (AOR = 1.51, 95% CI = 1.02 – 2.22), having radio/TV (AOR = 2.42, 95% CI: 1.64 – 3.56). Instructive status of the mother (AOR = 2.03, 95% CI = 1.38 – 2.97) and gaining lasting pocket cash from guardians (AOR = 2.73, 95% CI = 1.76 – 4.26) uncovered noteworthy positive relationship with great routine with regards to menstrual cleanliness. Conclusions: The discoveries demonstrated that the information and routine with regards to menstrual cleanliness is low. Mindfulness with respect to the requirement for data about great menstrual practices is imperative. In this way, wellbeing instruction program ought to be setup to make mindfulness and routine with regards to great menstrual cleanliness.
Strategy Increasing Performance Employee: Analysis Implementation Knowledge Management, Career Development, Team Work & Employee Engagement

The purpose of this research is to find gaps between variables from previous research and to find relationships between variables, to improve employee performance which is supported by several main factors. This study uses a literature review study to review several variables whose articles have been published in international journals, the findings of this study are that there are variables that are significant to the dependent variable and some are not significant, the framework created can be said to be novel because there has never been any research with the framework created by the research team.
Nonlinear screening of a point-like charge in a collisionless plasma

Solutions of the nonlinear Poisson equation are analyzed and compared with the Debye formula based on a linear approximation. A deficit in the charge density is shown to exist in a perturbed plasma in comparison with the linear consideration. As a result, the nonlinear screening proves to be weaker than the linear one, so the region of exponential decrease in the electric potential is shifted to longer distances from the external charge. The presence of a trapped particle population favors screening and thereby improves the applicability of the approximate Debye expression. By this means, a clear understanding of the kinetic structure of the charge induced in a polarized plasma is very important for a correct physical interpretation of the screening as a general property of plasmas.
Particle Acceleration during Magnetic Reconnection in a Low-beta Plasma

Magnetic reconnection is a primary mechanism for particle energization in space and astrophysical plasmas. By carrying out two-dimensional (2D) fully kinetic simulations, we study particle acceleration during magnetic reconnection in plasmas with different plasma β (the ratio between the thermal pressure and the magnetic pressure). For the high-β cases, we do not observe significant particle acceleration. In the low-β regime ( β < 0.1 ), we find that reconnection is efficient at energizing both electrons and ions. While the distribution of accelerated particles integrated over the whole simulation box appears highly non-thermal, it is actually the superposition of a series of distributions in different sectors of a 2D magnetic island. Each of those distributions has only a small non-thermal component compared with its thermal core. By tracking a large number of particles, we show that particles get energized in X-line regions, contracting magnetic islands, and magnetic island coalescence regions. We obtain the particle energization rate j · E by averaging over particle drift motions and find that it agrees well with the particle kinetic energy change. We quantify the contribution of curvature drift, gradient drift, polarization drift, magnetization, non-gyrotropic effect, and parallel electric field in different acceleration regions. We find that the major energization is due to particle curvature drift along the motional electric field. The other particle motions contribute less but may become important in different acceleration regions. The highly efficient particle energization in low-β plasmas may help us understand the strong particle energization in solar flares and accretion disk coronae.
An Effective Semiparametric Estimation Approach for the Sufficient Dimension Reduction Model

ABSTRACT In the exploratory data analysis, the sufficient dimension reduction model has been widely used to characterize the conditional distribution of interest. Different from the existing approaches, our main achievement is to simultaneously estimate two essential elements, basis and structural dimension, of the central subspace and the bandwidth of a kernel distribution estimator through a single estimation criterion. With an appropriate order of kernel function, the proposed estimation procedure can be effectively carried out by starting with a dimension of zero until the first local minimum is reached. Meanwhile, the optimal bandwidth selector is ensured to be a valid tuning parameter for the central subspace estimator. An important advantage of this estimation technique is its flexibility to allow a response to be discrete and some of covariates to be discrete or categorical providing that a certain continuity condition holds. Under very mild assumptions, we further derive the uniform consistency of the introduced optimization function and the consistency of the resulting estimators. Moreover, the asymptotic normality of the central subspace estimator is established with an estimated rather than exact structural dimension. In extensive simulations, the developed approach generally outperforms the competitors. Data from previous studies are also used to illustrate the proposal. On the whole, our methodology is very effective in estimating the central subspace and conditional distribution, highly flexible in adapting diverse types of a response and covariates, and practically feasible in obtaining an asymptotically optimal and valid bandwidth estimator. Supplementary materials for this article are available online.
College Networks and Re-employment of Displaced Workers

We provide the first evidence on the role of college networks in the re-employment of displaced workers. An extensive literature examines the consequences of layoffs, but the factors which facilitate re-employment are relatively under-studied. Using administrative data and a cross-cohort design, we find that network connections with actively-hiring employers increase the re-employment rate. This result is driven by re-employment at contact’s firms suggesting that a stronger network does not improve worker quality more broadly. These results suggest that college has the potential to improve employment outcomes beyond improved human capital and signaling.
Analytical Solution of Biological Population of Fractional Differential Equations by Reconstruction of Variational Iteration Method

This article presents a brand-new approximation analytical technique we refer to as the reconstruction of variational iteration method. For the goal of solving fractional biological population option pricing equations, this methodology was created. In certain circumstances, you may actually use the well-known Mittag-Leffer function to get an explicit response. The usage of the three examples below demonstrates the precision and effectiveness of the suggested method. The results show that the RVIM is not only quite straightforward but also very successful at resolving non-linear problems.
N-pulse particle image velocimetry-accelerometry for unsteady flow-structure interaction

Flow-structure interaction experiments are a major area of application of instruments capable of simultaneously measuring instantaneous fields of velocity and acceleration. An N-pulse particle image velocimeter-accelerometer (N-P PIVA) employing bursts of N pulses, where N = 3 or 4, and operating in the high-image-density particle seeding mode is described and demonstrated in the context of a representative flow-structure interaction experiment. The instrument employs two double-pulsed lasers and a high-resolution, fast-framing camera to acquire successive particle images having time separations small enough to perform good interpolation or finite differencing. The interrogation procedure locates the same group of particles at each pulse time using multiple cross-correlations, and a predictor-corrector algorithm enhances the strength of the cross-correlations by centering the windows on the particle groups at each time. A flow-structure experiment was performed in liquid surrounding a horizontal cylinder suspended by two thin, flexible, vertical rods from a slider block driven horizontally and sinusoidally. The value of the Keulegan–Carpenter number is KC=4.85 and the frequency parameter (or Stokes number) is β=7.2. Data from 2-, 3- and 4-pulse systems are compared to assess their relative performance. Measurements from the 4-pulse method with interpolation have smaller mean bias errors than the 3-pulse method with interpolation or the 4-pulse method with least squares, but larger random error. To make measurements close to the surface of the cylinder, a method using near-wall transformation and correlation analysis on a transformed grid is developed. Image processing used to determine the position, velocity and acceleration of the center of the cylinder is described. These measurements, together with the N-P PIVA data allow complete evaluation of each term in the exact, stationary control surface formulation of the fluid force applied to the cylinder surface (Noca 1997 PhD Thesis California Institute of Technology, Noca et al 1997 J. Fluids Struct. 11 345–50, 1999 J. Fluids Struct. 13 551–78, Unal et al 1997 J. Fluids Struct. 11 965–71).
REGRESSION ANALYSIS WHEN THE DEPENDENT VARIABLE IS TRUNCATED NORMAL

The paper considers the estimation of the parameters of the regression model where the dependent variable is normal but truncated to the left of zero. Tobin [8] first considered the problem and proposed an iterative solution of the maximum likelihood equations. The paper proves the strong consistency and the asymptotic normality of the maximum likelihood estimator, proves the inconsistency of Tobin's initial estimator, proposes a computationally simple estimator that is consistent and asymptotically normal, and proves the asymptotic efficiency of the second-round estimator in the method of Newton. An extension to the case where the observations are not available at the truncation point is briefly indicated in the Conclusions.
Consumer Perceived Ease of Use and Consumer Perceived Usefulness in Using the Shopee Application in Surakarta with Discount as a Moderation Variable

This article aims to explain the effect of perceived ease of use, perceived usefulness, attitude, intention to use, on the actual use of online shopping facilities through Shopee in Surakarta. This research is moderated by discount variable. Literature reviews were conducted by several highly reputable national and international journals including research from Zhong et al. (2021) and Gusni et al. (2020). This article uses the Technology Acceptance Model (TAM) to identify the variables used in creating the conceptual model. The research method used the structural equation model (SEM) analysis technique through SmartPLS 4. The results of the study found that there was a positive influence between perceived ease of use, perceived usefulness, attitude, intention to use, on actual use. In addition, the discount variable also moderates the relationship between perceived ease of use on attitude and attitude on intention to use, but the discount variable does not moderate the relationship between perceived usefulness on attitude and intention to use on actual use. Researchers hope that this research can add insight and help e-commerce, especially Shopee, to design effective strategies in terms of marketing to influence consumers. This research is also expected to provide theoretical and practical contributions and is expected to be used for future studies.