Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysing technology acceptance for digital learning in Islamic education: the role of religious perspective on ICT

Whether in general education or Islamic education, information and communication technologies (ICT) have shown to be effective in boosting learning and teaching processes. However, the optimal utilization of ICT in Islamic education is hardly observed, and its acceptance is rarely analysed. Therefore, the present study evaluated factors influencing individuals in Islamic education to adopt ICT based on the modified unified theory of acceptance and use of technology (UTAUT) model by incorporating two external factors: personal innovativeness and a religious perspective on the ICT aspect. The study employed a survey method to collect data from 225 valid respondents from Indonesia and applied a partial least squares-structural equation modelling (PLS-SEM) approach for analysis purposes. The study’s findings suggest that three factors significantly influenced behavioural intention to utilize ICT in Islamic education. These factors are the religious perspective on ICT, personal innovativeness, and social influence, with the religious perspective being more effective factor on behavioural intention than other factors. Moreover, religious perspective, facilitating conditions, and behavioural intention significantly affected actual ICT usage. Both effort and performance expectancies did not significantly affect behavioural intention to use ICT. Besides that, personal innovativeness was found insignificant in influencing usage behaviour, however, it significantly affected effort expectancy, while religious perspective significantly influenced performance expectancy. Finally, the study’s model explained 55.1% of behavioural intention and 54.0% of usage behaviour. The implications of the findings for practical and theoretical contributions are discussed in this paper.
The European Union representation in Spanish media

Introduction: Spain's gradual integration into the European Union through the development of institutions and economic and structural changes is intrinsic to the construction of a pro-European public opinion in which the media have actively participated. Objectives: This research aims to analyse the topics disseminated by the leading Spanish media to detect how the EU is represented in these themes, determine the main, adjacent and counter-discourses and find out the degree of North/South polarisation. Methodology: By content analysis and critical discourse analysis, this paper studies 543 units from the Spanish media El País, El Confidencial, ABC, El Diario.es, RTVE and Antena 3 from July 2021 to March 2022. Discussion and conclusion: Following the methodological application, the results obtained allow us to conclude that the construction of Europeanisation in the Spanish media is constructed about specific issues, and after an in-depth analysis of the energy issue, we can affirm that media coverage is neutral in general terms. Europeanisation is presented from a role with the greater weight of Spain in the common project than in previous historical stages presented in the introduction to this paper. Likewise, there is a certain unanimity in the Spanish media, both in the thematic selection and in the actors who are given a voice in the information, as well as in the pre-European construction of public opinion, regardless of their editorial line.
An Exponential Stabilization Analysis for Switched Interval Type-2 Fuzzy Sampled-Data Control Systems

This article is focused on designing the admissible edge-dependent average dwell time (AE-DADT)-based fuzzy sampled-data control problem for a class of switched nonlinear systems. The upper and lower grades of membership functions are used to characterize uncertain parameter-dependent nonlinear systems in the interval type-2 fuzzy (IT2F) model. Different from the existing literature, a new fuzzy dependent refined looped Lyapunov functional (LF) is introduced, which involves the new exponent terms and state information such as $\frac{e^{2\gamma _{v}(\varrho -\varrho _{\mathscr{k}})}-1}{2\gamma _{v}}, \ \frac{e^{2\gamma _{v}(\varrho _{\mathscr{k}+1}-\varrho)}-1} {2\gamma _{v}}, \ \mathscr{z}(\varrho _{\mathscr{k}})$, and $\mathscr{z}(\varrho _{\mathscr{k}+1})$ with tuning parameters and few slack variables. The AE-DADT switching property has also been taken into account for nonlinear systems, and it contributes to getting more information about previous modes. Based on the proposed new refined looped LFs, new sufficient conditions are derived in terms of linear matrix inequalities, which ensure the global uniform exponential stability of the nominated switched IT2F systems. The feasibility of the obtained results is verified by the numerical example, and the tunnel diode circuit system model and the Lorenz chaotic system are established to illustrate the feasibility and efficacy of the theoretical findings.
Tetrahydrocannabivarin (THCV) Protects Adipose-Derived Mesenchymal Stem Cells (ASC) against Endoplasmic Reticulum Stress Development and Reduces Inflammation during Adipogenesis

The endoplasmic reticulum (ER) fulfills essential duties in cell physiology, and impairment of this organelle’s functions is associated with a wide number of metabolic diseases. When ER stress is generated in the adipose tissue, it is observed that the metabolism and energy homeostasis of the adipocytes are altered, leading to obesity-associated metabolic disorders such as type 2 diabetes (T2D). In the present work, we aimed to evaluate the protective effects of Δ9-tetrahydrocannabivarin (THCV, a cannabinoid compound isolated from Cannabis sativa L.) against ER stress in adipose-derived mesenchymal stem cells. Our results show that pre-treatment with THCV prevents the subcellular alteration of cell components such as nuclei, F-actin, or mitochondria distribution, and restores cell migration, cell proliferation and colony-forming capacity upon ER stress. In addition, THCV partially reverts the effects that ER stress induces regarding the activation of apoptosis and the altered anti- and pro-inflammatory cytokine profile. This indicates the protective characteristics of this cannabinoid compound in the adipose tissue. Most importantly, our data demonstrate that THCV decreases the expression of genes involved in the unfolded protein response (UPR) pathway, which were upregulated upon induction of ER stress. Altogether, our study shows that the cannabinoid THCV is a promising compound that counters the harmful effects triggered by ER stress in the adipose tissue. This work paves the way for the development of new therapeutic means based on THCV and its regenerative properties to create a favorable environment for the development of healthy mature adipocyte tissue and to reduce the incidence and clinical outcome of metabolic diseases such as diabetes.
Effects of Low- and High-Frequency Cardiac Rehabilitation on Risk Factors, Physical Fitness and Quality of Life in Middle-Aged Women with Coronary Heart Disease

Cardiac rehabilitation (CR) is a system that comprehensively manages risk factors to reduce the recurrence rate after cardiovascular disease treatment. This study compared the effects of home-based low-frequency CR (1–2 times/week) and center-based high-frequency CR (3–5 times/week) for 12 weeks. This study was conducted as an observational case-control study. Ninety women, ages 45 to 60, who underwent coronary artery stenting were enrolled. Measurement variables were waist circumference, body mass index (BMI), blood pressure (BP), total cholesterol (TC), low-density lipoprotein cholesterol (LDLC), high-density lipoprotein cholesterol (HDLC), triglycerides (TG), glucose, VO2 peak, body composition, and quality of life. Significant changes were observed in systolic BP, TC, LDLC, TG, VO2 peak, exercise duration, and quality of life in both groups. However, BMI, waist circumference, body fat percentage, HDLC, and blood glucose only exhibited significant changes with HFT. The interaction effects according to time and group were as follows: systolic BP, waist circumference, body fat, BMI, HDLC, and glucose (p < 0.05). Therefore, in CR participants, HFT improved more than LFT on obesity factors, HDLC, and glucose change. As well as center-based HFT, home-based LFT also improved risk factors for cardiovascular disease, fitness, and quality of life. For female patients who have difficulty visiting the CR center frequently, home-based LFT may be a CR program that can be presented as an alternative.
Comment: You Should Standardize the Predictor Variables in Your Regression Models

a. ". a linear transformation of a model does not change the model and should not change the estimates of a model. " b. Since "high intercorrelations among variables [can] simply be transformed into low variances on linear combinations of variables," multicollinearity is itself not a fundamental measure of the "strength of the data. " c. ". ridge regression's . weakness . is the use of a loose representation of a priori beliefs and the reliance at times on ad hoc pseudoinformation. "
Playing-related musculoskeletal disorders among violin players – a cross-sectional study

Background: Playing-related musculoskeletal disorders (PRMD) are an often-reported problem in the literature. PRMD are usually defined as pain, numbness, weakness, paresthesia, or other feelin - gs affecting the musician's performance. Aims: The study aimed to assess the epidemiology of PRMD among violin players in relation to their age, sex, and experience. Additio - nally, the analysis covered prevention strategies. Material and methods: A total of 70 musicians (Me 24 years, IQR 18-30) were enrolled in the study (with an advantage of women – 83%). The study was carried out with an online questionnaire based on the modified Standardized Nordic Questionnaires for the Analysis of Musculoskeletal Symptoms (SNQ). The questionnaire was equip - ped with additional questions regarding the prevention strategies used by the respondents. Results: The majority of the respondents (53 people, 76%) confir - med to have sustained a PRMD in the period of the last 12 mon - ths. Reported PRMD were significantly related with sex (women at higher risk) and specific body locations such as the cervical and lumbar spine, as well as shoulder joints/arms. They did not corre - late with the inability to carry out day-to-day activities but had an effect on musical performance (p<0.001). Most of the respondents with PRMD resorted to the help
Modelling the dynamics of cryptocurrency prices for risk hedging: The case of Bitcoin, Ethereum, and Litecoin

Abstract Cryptocurrencies have, over the years, gained an unprecedented prominence in financial discourse, with the market fielding over 5,300 digital currencies and reaching over $2 trillion in market capitalisation in 2022. The surge in market values of digital currencies and their popularity in the world of e-commerce have remained unabated and equally received special attention from researchers focusing on identifying the underlying factors that drive changes in their market values. Thus, this study models the dynamics of the prices of cryptocurrencies alongside their interconnectedness, focusing on Bitcoin, Ethereum, and Litecoin along the time and frequency dimensions of monthly data from 1 March 2016 to 05/31/2022. Based on the ARDL model, results show that the volume of transactions of Bitcoin, Ethereum, and Litecoin, oil prices, and gold prices exert a more significant positive influence on their prices in the longrun than in the shortrun. However, the publicity of the selected cryptocurrencies (google search rates) does not significantly influence their prices. Interestingly, results from the Wavelet Granger causality tests show no causality between the raw series of Bitcoin, Ethereum, and Litecoin prices. However, a bi-directional causality exists between Bitcoin and Ethereum prices during the longrun in their low frequencies, a unidirectional causality running from Bitcoin to Litecoin prices during the longrun in their low frequencies, and a unidirectional causality running from Litecoin to Ethereum prices during the shortrun, medium run and longrun in their high, medium, and low frequencies. These findings have profound implications for the global financial market and investor decisions.
Novel Structure-Based Pairwise Sequence Alignment

The classical dynamic programming algorithms for alignments are based on edition costs computed additionally position by position, according to a fixed substitution matrix. These methods find the global alignment with maximal score but in practice, we favor the information of the structure or the function of the sequences considered. In this paper, we present a method consisting in combining the techniques of dynamic programming and Variable Memory Markov, which reveals the structure or the function of the sequences.
Evaluation and Analysis of the Accuracy of Open-Source Software and Online Services for PPP Processing in Static Mode

It has been proven that precise point positioning (PPP) is a well-established technique to obtain high-precision positioning in the order between centimeters and millimeters. In this context, different studies have been carried out to evaluate the performance of PPP in static mode as a possible alternative to the relative method. However, only a few studies have evaluated the performance of a large number of different open-source software programs and have focused extensively on online free PPP services. Therefore, in this paper, a comprehensive comparison of processing in static mode between different open-source software and the online free PPP services is developed. For the evaluation, different GNSS observation files collected at 45 International GNSS Service (IGS) stations distributed worldwide were processed in static PPP mode. Within this frame of reference, ten open-source PPP software and five online free PPP services were studied. The results from the processing strategy demonstrate that it is possible to obtain precision in the order of millimeters with both open-source software and online PPP services. In addition, online PPP services experienced better performance than some other specialized PPP software. In summary, the results show that the daily solutions for the E (East), N (North), and U (Up) components estimated by the ten open-source software and by the five online free PPP services can reach millimeter precision for some stations. Among the open-source software, the PRIDE-PPPAR presented the best performance with a Root Mean Square Error (RMSE) of 5.52, 5.40, and 6.79 mm in the E, N, and U components, respectively. Alternatively, in the case of the online free PPP services, the APPS and CSRS-PPP produced the most accurate results, with RMSE values less than 12 mm for the three components. Finally, the open-source software and online free PPP services experienced similar positioning performance in the horizontal and vertical components, demonstrating that both can be implemented in static mode without compromising the accuracy of the measurement.
Multiple Model Particle Filter Based Track-before-Detect for Maneuvering Weak Target

Track-Before-Detect(TBD) is an efficient approach which detects and tracks targets in low SNR environment.A multiple model particle filter algorithm is presented in this paper for the maneuvering weak target which dynamics is complicated.In this algorithm a variable which denotes whether the target is existent or not and a variable which denotes the dynamics model of the target are augmented.The hybrid filter which includes two discrete variables is implemented by particle filter.Simulation results show that this algorithm can efficiently detect and track maneuvering targets on the condition of low SNR which the classical tracking methods can not work normally.
Determinants of WCM of Indian listed firms: A GMM regression approach

Abstract This research paper purposes to discover the reasons that impact the working capital management (WCM) of Indian-listed manufacturing firms. The study uses a panel data set of 291 firms covering years from 2011 to 2020. The authors use working capital requirement (WCR) and cash conversion cycle (CCC) as proxies for working capital management and assess the effect of operating cash flow (OCF), performance as return on assets (ROA), valuation as Tobin’s Q (TQs), size, age, growth opportunities, leverage, and economic condition as the gross domestic product (GDP) over them. We use OLS and GMM estimators for the analysis of the study. Indian listed manufacturing firms’ cash conversion cycle (CCC) has been found to be positively correlated to their firm value, performance, and leverage. At the macro level, CCC is positively correlated to GDP. Further, CCC has been found to be negatively correlated with growth opportunities, operating cash flow, firm size, and age. The working capital requirement (WCR) of the firms, on the other hand, is positively associated with performance, firm age, and value, while it is negatively related to OCF, growth opportunities, leverage, size, and GDP. Our study adds uniqueness to the existing works on working capital in many ways. First, to our knowledge, very few studies exist to measure working capital management in the Indian context using two proxies WCR and CCC of working capital as dependent variables. Second, we used both OLS and GMM estimators to measure the explanatory variable’s effect over WCR and CCC which provided a more valid result. Third, we used eight factors as explanatory variables that provide a wider scope to explain the working capital management of Indian listed firms.
Pseudobangia corderoi sp. nov. (Bangiales, Rhodophyta) from the Philippines

ABSTRACT A new filamentous bangialean alga, Pseudobangia corderoi sp. nov., is described from the northern Philippines. Locally known as a sea vegetable, this species was previously identified as ‘Bangia fuscopurpurea’. Inferred combined analyses of the nucleus-encoded SSU rDNA and the plastid-encoded RubisCO LSU (rbcL) gene indicate that P. corderoi is sister to another unidentified species of Pseudobangia (originally referred to also as ‘Bangia fuscopurpurea’) from Taiwan. Together, these two taxa formed the closest diverging lineage from Pseudobangia kaycoleae (generitype). Current molecular phylogenies have also yielded monophyly of Pseudobangia and strong support for a sister relationship with the ‘Bangia 2’ lineage. Molecular and geographic analyses clearly differentiate P. corderoi from other filamentous Bangiales, whereas morpho-anatomical analysis identified only one distinguishing character, i.e. larger dimensions of the thalli.
The Association between Type-1 Diabetes Mellitus and Risk of Depression among Saudi Patients: A Cross-Sectional Study

Background and Aims: The importance of screening type-1 diabetic patients in Saudi Arabia is related to a high incidence rate of diabetes mellitus (DM) and the susceptibility to developing depression during or after the diagnosis. The objectives of the present study were to establish the relationship between type-1 diabetes mellitus (T1DM), depression, and depression risk among Saudi patients; estimating the prevalence and examining the relationship of depression with duration of diagnosis, the effect of glycemic control, and the presence of comorbidities. Methods: For this observational retrospective chart review, an analytical tool was used. The population of our study comprised Saudi patients with T1DM at King Khaled University Hospital, Riyadh. Data were collected from the hospital’s electronic medical records. A depression screening tool (Patient Health Questionnaire “PHQ-9”) was used to measure the depression risk of the diabetic patients, who had not been assessed before. The SPSS program was used to analyze the data. Results: The present study included 167 males (~45.75%) and 198 females (~54.25%). Patients with a normal body mass index (BMI) constituted 52%, while 21% were underweight, 19% were overweight, and 9% were obese. The investigators randomly selected 120 patients from the total of 365, and called them to assess their risk of developing depression. The results of the depression assessment were as follows: positive, 17 patients out of 22 (77.27%); negative, five patients out of 22 (22.73%). In total, 75 out of 120 (62.50%) patients were at risk of developing depression, while 45 patients out of 120 (37.50%) were not at risk of depression. There was a relationship between glycemic non-control, comorbidities with depression, and risk of developing depression in DM. The presence of complications was associated with diabetic and depressed patients, and the risk of developing depression may be increased with T1DM. Conclusions: To overcome the negative consequences of undiagnosed depression, screening for depression is recommended for patients with T1DM who have multiple comorbidities, glycemic non-control, diabetic complications, and unfavorable lifestyles, as well as those undergoing combination therapy with metformin.
A Coupled Hydrodynamic–Structural Model for Flexible Interconnected Multiple Floating Bodies

Evaluating the structural safety and seakeeping performance of very large floating structures (VLFS) using the rigid module flexible connector (RMFC) method remains challenging due to the complexity of the coupled hydrodynamic–structural responses in this system. In this study, a coupled hydrodynamic–structural frequency–time domain model is developed based on the RMFC method employing the planar Euler–Bernoulli beam elements to investigate the dynamic responses of multi-module floating systems. To reveal the dynamic characteristics of the systems, the coupled hydrodynamic–structural responses are investigated using a frequency–time-domain numerical model with viscous correction, in which the mass and stiffness attributes of connectors are incorporated into the system. Given the effects of hydrodynamic interaction, consideration is given to the case of three modular boxes connected by flexible beams aligned in series in shallow water to validate the present model. Higher efficiency and accuracy can be found in the system using viscous correction in potential flow theory and introducing state–space model to replace the convolution terms in the Cummins equation for the time domain. Moreover, this model can be extended to a considerable number of floating modules, which provides possibilities to analyze N-module floating systems.
Passive heating process enhancement of a new structure room using porous‐covering heat‐emitting channels

This manuscript presents a numerical study of a passive heating process of a new structure room using porous‐covering heat‐emitting channels as small discrete radiators. The governing equations are discretized using the finite volume method and the SIMPLER algorithm is employed to handle the pressure–velocity coupling. The effect of porous‐cover to air thermal conductivity ratio (Kr), Darcy number (Da), Rayleigh number (Ra), thickness of the porous‐cover (Ep), and Biot number (Bi) on the heating process of the room is examined. The principal results of this investigation indicate that in the case with Kr > 1, numerical simulations have enabled us to find an optimal value of Ep (Epcr = 0.125) for which the average room temperature reaches a maximum value. In addition, an enhancement in the heating process in the room can reach 77.77% by increasing Ep, Ra, Da, and Kr. Also, a maximum increase in the average room temperature up to 97.77% is achieved at better thermal insulation (Bi = 10).