Miracle-dz/UniFAR-FTUs huggingface dataset:
Verbal-Visual Learning Styles Scale: Developing a Scale for Primary School Students

In this study, it is aimed to develop a measurement tool that can determine the learning styles of students in order to provide efficient learning environments in primary schools. For this purpose, a draft scale form consisting of 24 items defining verbal and visual learning styles on theoretical basis was prepared. Then, using the draft scale form, data were obtained from 296 students of primary school. The data obtained at this phase were analyzed by exploratory factor analysis (EFA). As a result, the final scale form consisting of two dimensions and 12 items was reached. Then, in order to verify the structure of the final scale form, data were obtained from 149 students of primary school, and a confirmatory factor analysis (CFA) was performed with these data. According to the results obtained at this stage, the two-dimensional, two-factor, and 12-item structure of the scale was confirmed. In addition, Cronbach's Alpha and stability coefficients were calculated, and as a result, it was determined that the scale made consistent and stable measurements. As a result, a valid and reliable measurement tool has been developed that can determine the learning styles of 8-11 year-old students studying in primary schools.
Medical Images Segmentation Based on Unsupervised Algorithms: A Review

Medical image segmentation plays an essential role in computer-aided diagnostic systems in various applications. Therefore, researchers are attracted to apply new algorithms for medical image processing because it is a massive investment in developing medical imaging methods such as dermatoscopy, X-rays, microscopy, ultrasound, computed tomography (CT), positron emission tomography, and magnetic resonance imaging. (Magnetic Resonance Imaging), So segmentation of medical images is considered one of the most important medical imaging processes because it extracts the field of interest from the Return on investment (ROI) through an automatic or semi-automatic process. The medical image is divided into regions based on the specific descriptions, such as tissue/organ division in medical applications for border detection, tumor detection/segmentation, and comprehensive and accurate detection. Several methods of segmentation have been proposed in the literature, but their efficacy is difficult to compare. To better address, this issue, a variety of measurement standards have been suggested to decide the consistency of the segmentation outcome. Unsupervised ranking criteria use some of the statistics in the hash score based on the original picture. The key aim of this paper is to study some literature on unsupervised algorithms (K-mean, K-medoids) and to compare the working efficiency of unsupervised algorithms with different types of medical images. Keywords—Medical Images, Segmentation, Partition Around Medoids, K-means, Feature Selection.
EFFECT OF GROWTH REGULATORS ON IN VITRO REGENERATION OF TOMATO PLANTS

An investigation on Lycopersicon esculentus cvs. Castle Rock (CR), Strain B and Super-Marmand (Tomato) was conducted to standardize the method of high frequency regeneration. Cotyledon and hypocotyl from 12 days old seedlings were used. Comparison was made on cotyledon and hypocotyl explants cultivated on 4 different regeneration media of three cultivars. The best results for shoot primordial numbers per explants were observed of hypo-cotyledon explants with MS medium containing 1mg/L BA of cultivars Castle Rock and Super-Marmand, was reached (9187% respectively), while the best results for shoot primordial numbers per explants reached the highest value (83%) for strain B by using MS medium supplemented with 0.5 mg/L BA compared to the other treatments. While, the best results for shoot primordial numbers per explants were observed of cotyledon explants with MS media containing 2.0 mg/L BA of cultivars Castle Rock, strain B and Super-Marmand compared to the other treatments, was reached (79,72 and 80%, respectively). The percentage of shoots forming roots was reached the highest value 95 and 90 % of Castle Rock (CR) and Super-Marmand, respectively by using MS medium supplemented with 1.0 mg/ L IBA, while the best results of shoots forming roots was reached the highest value (92%) for strain B by using MS medium supplemented with 0.5 mg/L IBA and 0.5 mg/L NAA. Tomato plants are able to regenerate within 2 months and the young plantlets can be transferred to pots for hardening. Hardening procedure for tissue culture raised plantlets was standardized using sterile mixture of sand and soil in plastic pots.
Diagnostic Biomarker Candidates Including NT5DC2 for Human Uterine Mesenchymal Tumors

Unfortunately, uterine leiomyosarcoma still has a poor prognosis. The National Cancer Institute reported that the median overall survival (mOS) at stage I to stage IV of leiomyosarcoma was 31 months. Norwegian reports show that mOS of uterine leiomyosarcoma is as poor as eight years at stage I, four years at stage II, two years at stage III, and one year at stage IV. Preoperative diagnosis of uterine leiomyosarcoma is difficult in clinical practice. Treated as "uterine leiomyoma", however, tumors are often differentially diagnosed from uterine leiomyosarcoma by pathological diagnosis with hysterectomy or myomectomy. Histopathological diagnosis may result in a diagnosis of smooth muscle tumor of unmalignant potential (STUMP), and leiomyoma with bizarre nuclei that cannot be declared as malignant or benign. In about half of stage I patients, uterine leiomyosarcoma recurs. However, at present, no anticancer drug that has been shown to be effective in preventing postoperative recurrence has not been established. For this reason, we monitor patients without postoperative treatment, and start clinical treatment when recurrence is confirmed. Uterine leiomyomas, which occur in about 70% of women aged 40 and over in Japan and overseas, are benign tumors, but are extremely difficult to distinguish from uterine leiomyosarcoma. Although progress in diagnostic imaging such as Magnetic Resonance Imaging (MRI) and Positron Emission TomographyComputed Tomography (PET-CT) is remarkable, uterine leiomyosarcoma is difficult to distinguish from other uterine mesenchymal tumors. No differential biomarker has been identified for uterine other uterine mesenchymal tumors and uterine leiomyosarcoma in surgical pathological diagnosis or clinical examination. This review describes the current diagnosis and treatment for uterine sarcoma, including new trends in the search for biomarker candidates for uterine leiomyosarcoma.
Synergistic Effects of inoculating Arbuscular Mycorrhizal Fungi and Foliar Iron Fertilizer on Broad Bean Growth and Yield Under North Sinai Conditions

This work has been done at the Experimental Farm of Fac. Environ. Agric. Sci., Arish University, North Sinai, Egypt. The experiment was run for two successive growing winter seasons during 2016-2018. The synergistic effects of Arbuscular mycorrhizal fungi (AMF) inoculation and foliar iron fertilizer on plant growth and yield parameters of broad bean plant (Vicia faba L.), grown in sandy loam soil, were conducted. Mycorrhizal colonization and their spore intensity, nodule formation and their number were also investigated. Two mycorrhizal treatments (Inoculum AMF and native AMF) and five foliar Fe-concentrations (0.0, 300, 400, 500 and 600 ppm) were applied. The interaction between different categories of AMF and foliar Fefertilization was also evaluated. The results obtained revealed that the application of inoculated AMF and spray with Fe at 400 ppm increased spore count and root colonization. However, total number of active nodules/plant increased with inoculated AMF and spraying iron at 600 ppm. Results indicated the superiority interaction treatment of inoculated AMF with the foliar Fe at the concentration of 400 ppm and/or 500 ppm by which it recorded the highest values of plant growth traits; viz, root length, number of branches/plant, total dry weight/plant and photosynthetic pigments content in both seasons. Moreover, the same treatment recorded the highest values with all pod characters and yield, except weight of number of green seeds/pod in first season and average pod weight (g) in the second one.
Does capital structure affect profitability? Evidence from Indian IT Companies

Background: In spite of many years of rigorous exploration and several papers after Modigliani and Millers’ original work, surprisingly there is absence of agreement even today among the finance specialists on the fundamental issue of corporate finance, concerning why finance managers utilize various combinations of debt and equity. Most of the researchers opine differently as to what is the ideal debt and equity formation, which can maximize the profitability of the origination. The degree of collision of capital structure on profitability as well as to scrutinize the model debt and equity structure in the selected IT companies of India is the prime intent of the study. We have chosen the top five IT companies of India from the period 2014-2015 to 2018-19 based on market capitalisation. Different analysis such as Proportion Analysis, Correlation Analysis and Regression Analysis are taken into consideration to find out the noteworthy association between the debt-equity mix and profitability of companies. Findings: The after-effects of correlation examination show that, both DER and DTA have a negative relationship with NP, though not significantly, while both DER and DTA have a significant negative relationship with ROA. Nevertheless, all other profitability factors for example ROCE, RONW and RLTF have a strong and positive relationship with DER and DTA, which may be a result of the advantage of trading on equity dealt in by the organization. As the study based on the experimental variability’s such as NP, ROCE, RONW, ROA and ROLF, with the predictor variable as Debt Equity Ratio (DER) and Debt to Total Assets Ratio (DTA), taken together to establish the association with capital structure. After the analysis, results shows that, the R2 esteems as computed in the regression examination are 22.9%, 88.4%, 93.1%, 71.8% and 88.7%. It demonstrates that; expect Net Profit, which shows a moderate positive relationship but other variables show a strong positive relationship with capital structure. © This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Developments in transgenictechniques in pigs

Manipulation of the pig genome is currently restricted to the random insertion of new DNA using pronuclear microinjection. This method suffers from a number of inherent limitations, the majority of which result from the inability to control the site at which the transgene becomes integrated. These drawbacks, together with the need to be able to target existing genes, will result in the replacement of pronuclear injection by new methods that have the capability to direct insertion to a particular genomic site that does not influence expression. Currently, it is possible to control the site of insertion in mice using embryonic stem (ES) cell and homologous recombination technologies. However, pluripotent ES cells have yet to be isolated in pigs. The possibility of using nuclear transfer to reprogramme early differentiated embryonic cells as well as somatic cells from adult animals may provide an alternative method for generating precise genetic modifications. Methods that allow these changes to be carried out in situ are also likely to be developed in the future.
Extending the usage of graphics processing units on the cloud for cost savings on seismic data regularization

ABSTRACT. The usage of graphics processing units is already known as an alternative to traditional multi-core CPU processing, offering faster performance in the order of dozens of times in parallel tasks. Another new computing paradigm is cloud computing usage as a replacement to traditional in-house clusters, enabling seemingly unlimited computation power, no maintenance costs, and cutting-edge technology, dynamically on user demand. Previously those two tools were used to accelerate the estimation of Common Reflection Surface (CRS) traveltime parameters, both in zero-offset and finite-offset domain, delivering very satisfactory results with large time savings from GPU devices alongside cost savings on the cloud. This work extends those results by using GPUs on the cloud to accelerate the Offset Continuation Trajectory (OCT) traveltime parameter estimation. The results have shown that the time and cost savings from GPU devices’ usage are even larger than those seen in the CRS results, being up to fifty times faster and sixty times cheaper. This analysis reaffirms that it is possible to save both time and money when using GPU devices on the cloud and concludes that the larger the data sets are and the more computationally intensive the traveltime operators are, we can see larger improvements.Keywords: cloud computing, GPU, seismic processing. Estendendo o uso de placas gráficas na nuvem para economias em regularização de dados sísmicosRESUMO. O uso de aceleradores gráficos para processamento já é uma alternativa conhecida ao uso de CPUs multi-cores, oferecendo um desempenho na ordem de dezenas de vezes mais rápido em tarefas paralelas. Outro novo paradigma de computação é o uso da nuvem computacional como substituta para os tradicionais clusters internos, possibilitando o uso de um poder computacional aparentemente infinito sem custo de manutenção e com tecnologia de ponta, dinamicamente sob demanda de usuário. Anteriormente essas duas ferramentas foram utilizadas para acelerar a estimação de parâmetros do tempo de trânsito de Common Reflection Surface (CRS), tanto em zero-offset quanto em offsets finitos, obtendo resultados satisfatórios com amplas economias tanto de tempo quanto de dinheiro na nuvem. Este trabalho estende os resultados obtidos anteriormente, desta vez utilizando GPUs na nuvem para acelerar a estimação de parâmetros do tempo de trânsito em Offset Continuation Trajectory (OCT). Os resultados obtidos mostraram que as economias de tempo e dinheiro foram ainda maiores do que aquelas obtidas no CRS, sendo até cinquenta vezes mais rápido e sessenta vezes mais barato. Esta análise reafirma que é possível economizar tanto tempo quanto dinheiro usando GPUs na nuvem, e conclui que quanto maior for o dado e quanto mais computacionalmente intenso for o operador, maiores serão os ganhos de desempenho observados e economias.Palavras-chave: computação em nuvem, GPU, processamento sísmico.
Risk Management with Maintenance and Repair Strategy in Industries

The overall aim of the maintenance and repair process in industrial companies is to reduce costs and increase the benefits of operating and optimize life cycle costs, taking into account all safety considerations. Choosing a maintenance and repair strategy is one of the most complex and necessary processes that can affect the safety and cost of equipment. The main aim of this study is to select a risk-based maintenance and repair strategy to improve safety, maintenance and repair indexes. Risk assessment integrates product reliability with safety and environmental issues and can therefore be considered as a decision-making tool for repair planning. One of the most important strategies in the field of maintenance and repair planning and optimization of related activities is the system or process of maintenance and repair with Reliability Centered Maintenance (RCM). This system provides a framework for all the physical facilities and equipment of organizations to continuously fulfill their planned tasks in the specified operational context. Risk analysis-based repair planning can reduce the likelihood of system failure and the consequences of such failures and help management make the right decisions to make the right investment in maintenance and repair and thus lead to better use of existing assets and capital
Audience's Cognitive and Psychological Analysis of Publicly Expressing Mental Illness

The incidence of mental illness is increasing year by year, and appears on public platforms to express the status of the disease group. Some scholars have studied the public's cognition and attitude about mental illness. On the basis of these articles, the purpose is to study the public's cognition and emotional attitude towards public expression of mental illness. This article uses text analysis to extract the most popular mental illness videos on the online platform” bilibili”, and randomly selects 1,000 comments for analysis. The results show that about 86.5% of users agree with the public expression of mental illness, and 7% of users do not agree, 6.5% of users are suspicious of symptoms and want accurate information. Through the analysis of the results, the majority of the public has a positive and positive attitude towards the patients who openly express mental illness, but the current situation of the public expression is polarized by users, with one highly identifying with and deifying the disease, while the other strongly disidentifying and contaminating the disease.
Sequence analysis iMRM: a platform for simultaneously identifying multiple kinds of RNA modifications

Motivation: RNA modiﬁcations play critical roles in a series of cellular and developmental processes. Knowledge about the distributions of RNA modiﬁcations in the transcriptomes will provide clues to revealing their functions. Since experimental methods are time consuming and laborious for detecting RNA modiﬁcations, computational methods have been proposed for this aim in the past ﬁve years. However, there are some drawbacks for both experimental and computational methods in simultaneously identifying modiﬁcations occurred on different nucleotides. Results: To address such a challenge, in this article, we developed a new predictor called iMRM, which is able to simultaneously identify m 6 A, m 5 C, m 1 A, w and A-to-I modiﬁcations in Homo sapiens , Mus musculus and Saccharomyces cerevisiae . In iMRM, the feature selection technique was used to pick out the optimal features. The results from both 10-fold cross-validation and jackknife test demonstrated that the performance of iMRM is superior to existing methods for identifying RNA modiﬁcations. Availability and implementation: A user-friendly web server for iMRM was established at http://www.bioml. cn/XG_ iRNA/home. The off-line command-line version is available at https://github.com/liukeweiaway/iMRM. Contact
Health-promoting properties of bioactive peptides (BAP) in dairy products - biotechnological and medical aspects

Introduction and Objective. Biologically active peptides (BAP) are fragments of amino acid sequences of food proteins that become active upon release. The precursors of these peptides can be milk proteins, mainly casein and whey protein fractions. The aim of this study is to discuss the possibilities of synthesis and properties of protein-derived biologically active peptides, as factors preventing diet-related diseases. Current state of knowledge. Health-promoting BAP activity has been determined to-date in in vitro studies, and several of these beneficial properties have been confirmed in in vivo studies. The majority of these peptides regulate immunological, gastrointestinal, hormonal and neurological responses, thereby playing a vital role in the prevention of cancer, osteoporosis, hypertension and other diseases. Sources of BAP include bioproducts, food products, or fractions enriched with active ingredients or purified peptides. In the human circulatory and digestive systems, only a few analyzed variants of BAP have been found, which were mainly derived from bovine milk casein. A significant variety of naturally formed BAP have been identified in fermented dairy products, such as yoghurt, kefir and cheese. Their composition and properties depend, to a large extent, on the types of microorganisms used, and the technological procedures employed. Conclusions. This review of the current knowledge of milk protein-derived bioactive peptides indicates many relationships and contributes to the promotion of the nutritional value of dairy products containing various healthpromoting ingredients, including BAP. The issue that should be analyzed is the assessment of the appropriate concentration of BAP, their bioavailability, ensuring activity in vivo.
THE IMPACT OF CORPORATE GOVERNANCE ON EARNINGS MANAGEMENT IN ISLAMIC AND CONVENTIONAL BANKS

Purpose – This paper aims to examine the association between internal corporate governance and earnings management and to compare earnings management practices in Islamic banks versus conventional banks in the MENA region. Design/methodology/approach – This paper uses an unbalanced panel data of 20 Islamic banks and 100 conventional banks, from eleven countries in the MENA region over the period 2012-2017. Discretionary accruals are used to measure earnings management by estimating loan loss provision. Regression analysis is used to test the hypotheses. Findings – The results indicate that Islamic banks provide fewer earnings management practices compared to conventional banks. Besides, the results show that among the six corporate governance mechanisms studied in this paper only board meetings, board size, and board independence can help in mitigating earnings management for conventional banks. Whereas, for the case of Islamic banks, corporate governance mechanisms have no impact on reducing earnings management. Practical implications – This paper could offer some recommendations for policymakers, regulators, and users of financial statements. The results of this study could assist in improving the monitoring role of the board of directors and understanding the relationship between corporate governance mechanisms and earnings management. Originality/value – This paper contributes by investigating the effect of new mechanisms on earnings management, and by examining earnings management practices in Islamic banks compared to conventional banks in unexamined countries and periods.