Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Intellectual Capital on Islamic Banks Profitability: A Mediation Analysis of Non-Profitability Performance and Islamicity Financial Performance Index

Abstract. This study aims to analyze the influence of intellectual capital on Islamic banks' profitability in Indonesia, mediated by non-profitability performance and Islamicity Financial Performance Index variables. This study uses Structural Equation Modeling (SEM) analysis of secondary data from a sample of 8 (eight) Islamic commercial banks in the form of financial statements for 2018-2020. This research shows, first, intellectual capital directly has a significant positive influence on the Islamic banks' profitability in Indonesia. Second, intellectual capital mediated by non-profitability performance has a significant positive influence on Islamic banks’ profitability. Also, the relationship of intellectual capital through the Islamicity Financial Performance Index has a positive significant influence on the Islamic banks’ profitability. This indicates that intellectual capital gives new strength for Islamic banks to compete with conventional banks.Keywords: Intellectual Capital, Profitability, Non-Profitability Performance, Islamicity Financial Performance Index Abstrak. Penelitian ini bertujuan untuk menganalisis pengaruh intellectual capital terhadap profitabilitas bank umum syariah di Indonesia yang dimediasi oleh variabel kinerja non profitabilitas dan Islamicity Financial Performance Index. Penelitian ini menggunakan analisis Structural Equation Modelling (SEM) terhadap data sekunder dari sampel 8 (delapan) bank umum syariah berupa laporan keuangan tahun 2018-2020. Temuan pertama menunjukkan bahwa intellectual capital memiliki pengaruh yang positif secara signifikan terhadap profitabilitas bank syariah di Indonesia. Kedua, intellectual capital yang dimediasi oleh variabel kinerja non profitabilitas menghasilkan pengaruh yang positif secara signifikan terhadap profitabilitas bank syariah. Dan hubungan intellectual capital melalui Islamicity Financial Performance Index juga menghasilkan pengaruh yang positif secara signifikan terhadap profitabilitas bank syariah. Hal ini mengindikasikan bahwa intellectual capital memberikan kekuatan baru bagi bank syariah untuk bersaing dengan bank konvesional.Kata kunci: Intellectual Capital, Profitabilitas, Kinerja Non-Profitabilitas, Islamicity Financial Performance Index
The emergence of solutions of the Korteweg-de Vries equation form arbitrary initial conditions

Carbodiimide-isocyanurate foams containing urethane linkages are prepared by mixing a polyisocyanate, a polyol and a catalyst system comprising an s-triazine compound and a catalyst which promotes urethane linkages. The resulting foams are characterized by low friability and good flame resistance.
The Effects of Ear Acupressure on Back Pain after Coronary Angiography: A Randomized Controlled Trial

Back pain is a common complaint seen in patients after coronary angiography. This study investigated the efficacy of ear acupressure for reduction of back pain in patients after coronary angiography. In this trial, 120 patients recruited from a post-angiography ward were allocated to an ear acupressure or a control group. Pain assessment in intervention group was performed immediately after participants entered post- coronary angiography ward (T0), twenty minutes after entering the ward (T1), and two, four, and six hours after the intervention (T2–T4). Pain in control group was assessed at the times similar to intervention group. Data were analyzed using the SPSS software (v. 19) by Chi-square, Fisher’s exact, independent t tests, Friedman test, Wilcoxon signed-rank, and Mann-Whitney U test. Final data analysis was done on the data gathered from 58 participants in the control group and 59 in the ear acupressure group. The pain intensity at T1–T4 for patients in the control group was significantly higher than T0 (P < 0.001), while patients in the ear acupressure group reported that pain intensity at T2–T4 was significantly higher than T0 for them (P < 0.001). Only at T1 and T2, pain intensity in the ear acupressure group was significantly less compared to the control group (P < 0.05). Ear acupressure in this study was effective to some extent in reducing back pain after coronary angiography. Future studies can be designed to examine the effects of ear acupressure using different ear acupressure points on the back pain after coronary angiography.
A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions

Diagnostics of mechanical problems in manufacturing systems are essential to maintaining safety and minimizing expenditures. In this study, an intelligent fault classification model that combines a signal-to-image encoding technique and a convolution neural network (CNN) with the motor-current signal is proposed to classify bearing faults. In the beginning, we split the dataset into four parts, considering the operating conditions. Then, the original signal is segmented into multiple samples, and we apply the Gramian angular field (GAF) algorithm on each sample to generate two-dimensional (2-D) images, which also converts the time-series signals into polar coordinates. The image conversion technique eliminates the requirement of manual feature extraction and creates a distinct pattern for individual fault signatures. Finally, the resultant image dataset is used to design and train a 2-layer deep CNN model that can extract high-level features from multiple images to classify fault conditions. For all the experiments that were conducted on different operating conditions, the proposed method shows a high classification accuracy of more than 99% and proves that the GAF can efficiently preserve the fault characteristics from the current signal. Three built-in CNN structures were also applied to classify the images, but the simple structure of a 2-layer CNN proved to be sufficient in terms of classification results and computational time. Finally, we compare the experimental results from the proposed diagnostic framework with some state-of-the-art diagnostic techniques and previously published works to validate its superiority under inconsistent working conditions. The results verify that the proposed method based on motor-current signal analysis is a good approach for bearing fault classification in terms of classification accuracy and other evaluation parameters.
Effects of Group Narrative Therapy on Feeling of Inferiority and Attachment Styles in Married Women Experienced Marital Infidelity

Background: Marital infidelity damages marriage and increases the tensions between couples. The present study aims to evaluate the effect of group narrative therapy on feeling of inferiority and attachment styles in married women experienced marital infidelity. Methods: This is a quasi-experimental study with a pretest/posttest design using a control group. The study population consists of all women experienced marital infidelity referred to Peidayesh Counseling Center in Mashhad, Iran. Of these, 40 eligible women were selected using a convenience sampling method and assigned into intervention (n=20) and control (n=20) groups. Data collection tools were Hazan and Shaver (1986)’s Adult Attachment Questionnaire and Eysenck (1988)’s Inferiority Questionnaire. Group narrative therapy was performed in the intervention group at 7 sessions while the control group did not receive any intervention. Data analysis was performed by univariate and multivariate analysis of covariance in SPSS software, v. 22. Results: Group narrative therapy had significant effects on feeling of inferiority and all three secure, avoidant and ambivalent attachment styles (P=0.001). Conclusion: Group narrative therapy can reduce feelings of inferiority and avoidant and ambivalent attachments and increase secure attachment in women experienced marital infidelity. This method can be used to improve psychological problems of these women.
Plant Growth Regulators Improve Grain Production and Water Use Efficiency of Foeniculum vulgare Mill. under Water Stress

The development of methods increasing plant water use efficiency (WUE) would enhance the ability to grow wild aromatic and medicinally important species. The aim of this research was to determine the effect of plant growth regulators (PGRs) applied by spraying on stress resistance and WUE of fennel subjected to water stress. Plants in the generative stage were more drought tolerant than those in the vegetative stage. Water stress at vegetative stage decreased plant biomass and grain yield by 60% and 61%, respectively. Severe water stress in vegetative stage reduced grain production by 56%, and grains had 43% lower mass than those from non-stressed plants. Application of PGRs at both stages of growth increased grain yield and biomass, but the magnitude of increase depended on the type and application time of PGRs. Plants grown in well-watered conditions and sprayed with methyl jasmonate during the vegetative stage had the highest grain production (2.7 g plant−1), whereas under moderate water stress, plants yielded the best (2.1 g plant−1) when sprayed with epibrassinolide. The maximum WUE for grain (0.91 g L−1) and essential oil production (20 mg L−1) was noted in plants exposed to moderate stress and treated with methyl jasmonate during the vegetative stage.
Analysis of the Running Ability Mining Model of Football Trainers Based on Dynamic Incremental Clustering Algorithm

Fast-running ability is a very important basic quality of football players. However, players are dynamic. It is difficult for coaches to grasp the running speed, instantaneous acceleration, and other indicators of small athletes in real time with the naked eye. Therefore, to accurately test the performance of athletes in fast-running ability, this paper studies the running ability mining model of football coaches based on the dynamic incremental clustering algorithm. According to scientific procedures and methods, the evaluation model and standard of running ability of Chinese elite female football players are established. The effectiveness of the model is 0.83, as verified by the standard recognition method, which shows that the evaluation model is efficient. The research considers the denoising of the original data. The model has rich data and standard test methods and procedures. It can be used as a measure of the running ability of China's elite female football players in a certain period and range. The research solves the problem of the insufficient running ability of domestic football players. It provides an important reference for training the next generation of excellent national football players.
Image-based modelling of the effect of s-metolachlor plus atrazine on the soaking kinetics of maize seeds

Pre-emergent herbicides can have negative effects on maize seeds. The objective of this study was to model seed soaking curves through the processing of red-green-blue imagery of maize seeds under the influence of concentrations of s -metol-achlor + atrazine on both the soaking kinetics and primary root emission. Seeds were placed to soak for 114 h in Petri dishes containing aqueous solutions of a herbicide containing s -metolachlor (290 g l -1 ) + atrazine (370 g l -1 ) with the following concentrations: 0% (water only), 2, 5, 10, 20 and 50%, based on the recommended dose (4.0 l of the commercial product per hectare). The images were systematically taken from a flatbed scanner with artificial light control. The red excess index was adapted to improve image segmentation. From the binary masks applied, the soaking curves for each herbicide concentration were obtained using estimates of seed intumescence over time. The soaking curves were described by fitting Peleg’s model. The herbicide concentration has signifi cant effects on both the absorption rate and primary root emission; the absorption rate was reduced by 50%. A concentration of s -metolachlor (290 g l –1 ) + atrazine (370 g l –1 ) in aqueous solution that is above 20% can fully inhibit seed germination.
Fog-Edge Collaborative Task Offloading Strategy Based on Chaotic Teaching and Learning Particle Swarm Optimization

To improve the contradiction between the surge of business demand and the limited resources of MEC, firstly, the “cloud, fog, edge, and end” collaborative architecture is constructed with the scenario of smart campus, and the optimization model of joint computation offloading and resource allocation is proposed with the objective of minimizing the weighted sum of delay and energy consumption. Second, to improve the convergence of the algorithm and the ability to jump out of the bureau of excellence, chaos theory and adaptive mechanism are introduced, and the update method of teaching and learning optimization (TLBO) algorithm is integrated, and the chaos teaching particle swarm optimization (CTLPSO) algorithm is proposed, and its advantages are verified by comparing with existing improved algorithms. Finally, the offloading success rate advantage is significant when the number of tasks in the model exceeds 50, the system optimization effect is significant when the number of tasks exceeds 60, the model iterates about 100 times to converge to the optimal solution, the proposed architecture can effectively alleviate the problem of limited MEC resources, the proposed algorithm has obvious advantages in convergence, stability, and complexity, and the optimization strategy can improve the offloading success rate and reduce the total system overhead.
Potential importance of wind patterns and guidance opportunities for the conservation of the Egyptian Vulture Neophron percnopterus in Italy

Summary Movement ecology and environmental factors are topics of paramount importance to consider when planning conservation programmes for target species. Here we discuss this topic by reviewing the available information related to the Egyptian Vulture Neophron percnopterus, with reference to the remnant breeding population of Southern Italy, of high conservation concern and subject of a long-term captive-breeding re-stocking programme. We describe how adverse wind conditions over the Central Mediterranean Sea make the sea-crossing challenging with detrimental effects on the survival of inexperienced birds, and coupled this information with count data of migrating Egyptian Vultures. Furthermore, we indicate how low population size and scarce opportunities in meeting migrating conspecifics could potentially lead juvenile Egyptian Vultures to follow unfavourable migratory routes, with possible repercussions on survival. We postulate how these concomitant factors could be indirectly influencing the long-term survival of this small population, principally affected by anthropogenic threats. We also discuss how the same factors could actually be affecting captive-bred young individuals released in late summer in southern continental Italy, in the framework of the restocking programme. An integrative approach with tailor-made release methods, which also takes into account the age of released birds and geographical and environmental factors, would likely be useful for a more goal-oriented and long-lasting conservation outcome, for the preservation of this endangered scavenger.
Misturas de cereais de inverno de duplo propósito para silagem de planta inteira

A ensilagem é técnica essencial para a produção animal devido à sazonalidade de produção forrageira durante o ano. A utilização de cereais de inverno é alternativa econômico e ambientalmente viável pois utiliza áreas ociosas no inverno. A mistura de cereais de inverno para a silagem vem ao encontro da necessidade de ampliar o período de colheita, diminuir riscos e melhorar a relação custo/benefício para o produtor. O experimento ocorreu em 2020, com os objetivos de avaliar a viabilidade de utilização e as características químicas das silagens resultantes, e partição folha/colmo/espiga ou panícula das cultivares estudadas. A primeira parte da pesquisa foi realizada a campo, na área experimental da Embrapa Trigo em Passo Fundo – RS, em blocos casualizados e três repetições, com quatro cultivares de trigo (BRS Pastoreio, BRS Tarumaxi, BRS Tarumã e Tbio Energix 201), e uma cultivar de aveia-preta (Embrapa 139 – Neblina). A segunda parte ocorreu em local abrigado da chuva, do sol e de variações extremas de temperatura, em delineamento inteiramente casualizado. Os tratamentos foram silos de PVC contendo as silagens das cultivares citadas anteriormente e as misturas Tbio Energix/Embrapa Neblina, BRS Tarumã/BRS Pastoreio, BRS Tarumaxi/BRS Pastoreio, Tbio Energix/BRS Pastoreio, e uma mistura de duas cultivares de cevada (BRS Quaranta/BRS Korbel). Todas as silagens apresentaram perfil fermentativo adequado e características nutricionais satisfatórias. A cultivar de trigo Pastoreio pode ser misturada com os trigos Energix, Tarumã e Tarumaxi, prolongando o período de colheita em 15 dias, com maior participação de lâminas foliares.
Analytical bending stiffness model of composite shaft with breathing fatigue crack

Abstract In this paper, an improved stiffness model of the breathing crack of the composite shaft tube was established based on the Layer-wise theory, which considered the influence of orientation angle and stacking sequence of the cracked layers. Then, the model was compared with the horizontal neutral axis model, Mayes' model and analytical model. The results showed that the improved model can more effectively reflect the influence of the laminate parameters on the stiffness. Based on the model, the bending stiffness characteristics of the cracked composite shaft were studied, and the effects of laminate parameters on the stiffness were obtained.
How to pay less: a location‐specific approach to predict dynamic prices in ride‐on‐demand services

In emerging ride-on-demand (RoD) services, dynamic pricing plays an important role in regulating supply and demand and improving service efficiency. Despite this, it also makes passenger anxious: whether the current price is low enough, or otherwise, how to get a lower price. It is thus necessary to provide more information to ease the anxiety, and predicting the prices is one possible solution. In this study, the authors predict the dynamic prices to help passengers learn if there is a lower price around. They first use entropy of historical prices to characterize the predictability of prices in different locations and claim that different prediction algorithms should be used to balance between efficiency and accuracy. They present an ensemble learning approach to price prediction and compare it with two baseline predictors, namely a Markov and a neural network predictor. The performance evaluation is based on the real data from a major RoD service provider. Results verify that the two baseline predictors work well in locations with different levels of predictabilities, and that ensemble learning significantly increases the prediction accuracy. Finally, they also evaluate the effects of prediction, i.e., the probability that passengers could benefit from the prediction and get a lower price.
Does Firm Characteristics Affect Foreign Investors’ Transactions? The Evidence from the Vietnam Stock Market

This paper aims to examine if firm characteristics had an impact on foreign investors’ decisions on buying and selling Vietnamese listed firms’ stocks between 2015 and 2019. Despite the vast majority of research in the same fields worldwide, answers to this question were not clear. Employing panel data estimation of 222 non-financial firms in the Vietnam stock market, the result of this study indicates that foreign investors have a strong preference for firms with high market capitalization, liquidity, and profitability, whereas they seem to be reluctant to invest in ones with high leverage and price to book values. However, we fail to find clear evidence of the impact of dividend yield on the number of shares bought or sold by foreign investors. Based on these results, this study proposes important policy implications to attract foreign investment in the stock market in Vietnam.
A comparison of SUMO's count based and countless demand generation tools

There are already several tools available to generate traffic demand for the microscopic simulation suite SUMO. This paper focuses on setting up a simulation scenario for the peak hour in a small conurbation when there are vehicle counts available for the major streets. We describe tools which are part of SUMO or available as open source and compare their results with the real traffic counts as well as with the outcome of countless demand generation.
Asymptotics of American Floating Strike Lookback Put Option Pricing

We examine an American floating strike lookback put option, under the Black and Scholes model. This corresponds to a moving boundary problem for a PDE. We apply singular perturbation methods to compute the moving boundary, as well as the full solution to the PDE. We analyze the problem in the limit of small p = 2r/o2, with d = q/r fixed, where r is the interest rate, q is the dividend yield and o is the volatility. We employ the ray method of geometrical optics and matched asymptotic expansions.
Efficacy of Tibial Nerve Stimulation on Fecal Incontinence in Patients With Low Anterior Resection Syndrome Following Surgery for Colorectal Cancer

Objective To systematically review the available literature on the efficacy of tibial nerve stimulation on faecal incontinence and quality of life in adult patients with low anterior resection syndrome following surgery for colorectal cancer. Methods A primary search of electronic databases was conducted adopting a combination of search terms related to the following areas of interest: “efficacy”, “tibial nerve stimulation” and “low anterior resection syndrome”. A secondary search of the grey literature was performed in addition to checking the reference list of included studies and review papers. The review was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. A descriptive analysis was used to integrate the review findings. Results Five distinct studies involving 116 patients met the inclusion criteria for the review. The included studies suggest that tibial nerve stimulation may have a positive effect on faecal incontinence and quality of life in some patients with low anterior resection syndrome and might be considered as an additional treatment option. Conclusion There were a limited number of studies and a great degree of heterogeneity of evidence due to differences in participants’ baseline characteristics, dropout rates, and follow-up periods. Further research adopting validated, consistent, and complex outcome assessment methods is recommended to determine the efficacy of tibial nerve stimulation for treatment of patients with low anterior resection syndrome.