Miracle-dz/UniFAR-FTUs huggingface dataset:
Propensity to Churn in Banking: What Makes Customers Close the Relationship with a Bank?

Nowadays, customer analytics plays a fundamental role in the commercial activity of a financial company, which is interested to deliver the best products and services to consumers. However, sometimes things may possibly go wrong, resulting in inconveniences experienced by the clients, who may eventually decide to end the relationship with a bank. This study uses a dataset which contains a bank’s customer base who churned, with a series of variables regarding sociodemographic characteristics, member activity, balance, estimated salary and tenure. An issue of general interest in banking field is predicting the probability of churn or attrition, a phenomenon which may lead to significant decreasing of revenues if the company fails to act on time. Therefore, in this paper we examine which are the main characteristics of customers that influence the propensity to churn by means of an exploratory data analysis. Moreover, we employ two machine learning algorithms and use an optimization technique called Grid Search to obtain the optimal predictive model, which can estimate the likelihood of a customer leaving a bank in the future. Ultimately, we use the Area Under the Curve (AUC) as model performance metric to compare the outcomes of Logistic Regression and Random Forest classifiers on the test dataset. Final results show that Random Forest classifier outperformed Logistic Regression model in terms of AUC values and, at the same time,the outcomes emphasize different behaviors between countries.
Volumetric measurements of mandibular incisor root resorption following Forsus FRD EZ2 and Bionator appliance treatment using cone-beam computed tomography: A preliminary study

Objectives: Root resorption is one of the frequently encountered problems in orthodontic treatments. The effects of functional appliances on root resorption have not been clearly demonstrated. The aim of this study was to compare volumetric root resorption of mandibular incisors after Bionator and Forsus appliance treatment using cone-beam computed tomography (CBCT). Materials and Methods: The study sample (n = 30) was selected from Class II div. 1 mandibular retrognathia patients treated with the Bionator and Forsus appliances. The first CBCT scans were taken before Bionator use and after 6 months. In the Forsus group, the first CBCT scans were taken before Forsus appliance use and after an overcorrected Class I relationship was obtained. The mean treatment time with the Forsus appliance was 5 ± 1.2 months. Mimics software was used for segmentation and volumetric measurements of mandibular incisor teeth root resorption. Results: In the Bionator group, statistically significant root volume loss was not found. In the Forsus group, the differences between before and after the treatment were not statistically significant for teeth 41, 31, and 32 (P > 0.05), whereas the difference was statistically significant for the lower right second incisor (P < 0.002). The percentage of volume loss (%) and root volume loss (mm3) was not statistically significant between groups. Conclusions: Following functional treatment with the Bionator and Forsus, statistically significant difference was not found between groups for mandibular incisor root resorption.
FACTORS AFFECTING SATISFACTION AND INTERNATIONAL TOURIST REVISIT INTENTION: A CASE STUDY IN BEN TRE PROVINCE

The purpose of this study is to empirically examine the influence of travel motivation, destination image on tourist satisfaction, and revisit intention to a tourist destination of international travellers in Ben Trường Cao đẳng Đồng Khởi Bến Tre Ngày nhận bài: 13/11/2019; Ngày nhận kết quả bình duyệt: 9/3/2020; Ngày chấp nhận đăng: 8/5/2020 Email: phamhonghai35@gmail.com Dong Khoi Vocational School Ben Tre Received date: 13 November 2019; Revised date: 9 March 2020; Accepted date: 8 May 2020 Tre Province. Based on a theoretical model, hypotheses were formulated, the study uses Structural Equation Modeling (SEM) and a sample of 252 international tourists. The study result reveals that destination image and travel motivation influenced tourist satisfaction and satisfaction directly influenced revisit intention. The study also explored some implications for enticing more tourists to tourism destinations in Ben Tre Province, limitations and suggestions for future studies.
SELF CARE PRACTICES OF PATIENTS WITH LUMBAR DISC PROLAPSE IN THE POSTOPERATIVE PERIOD

Background: Self care practices affect the progress of many diseases including lumbar disc prolapse. This study aimed to assess self care practices of patients with lumbar disc prolapse in the post operative period. Setting: This study conducted at neuro-surgery department and outpatient clinic at Azhar university hospital in New Damietta city. A convenience sample of 124 adult patients diagnosed with lumbar disc prolapse were included in the study. Tool of data collection: data collected using structured interview questionnaire, it included four parts: demographic data, medical and surgical history, pain intensity and follow up and Self-care practices of patients with lumbar disc prolapse. Results: The result of present study showed that 100% of the studied patients felt pain when doing an activity and 72.6 % of them had unsatisfactory self care practicesin the post operative period. Conclusion: More than two third of the studied patients need improve self care practices regarding to unsatisfactory self care practices and there wasn't statistically significance relation between demographic data and self care practices. Recommendations: Design patient educational materials include proper self care practices of patients with lumbar disc prolapse in the post operative period . The health education program should be tailored every patient's individual needs .
Lumbar spine metastasis in a breast cancer survivor after twelve years of disease-free survival

Breast cancer is the most commonly diagnosed malignancy and is the second leading cause of cancerrelated death in the western world. Spine metastasis commonly occurs in breast cancer, accounting for approximately two-thirds of the osseous metastases discovered. The incidence of spine metastasis from breast cancer is increasing because patients with primary breast cancer are surviving longer. Median time to spine metastasis is about 42 months with the longest reported interval of 97 months. We report a rare case of spine metastasis diagnosed 12 years (144 months) in a breast cancer survivor.
Aprendizaje en servicio en el programa de formación fundamental de la Universidad de Talca, Chile

A descriptive documentary research is developed that systematizes the experience of the competency approach of the University of Talca in the Fundamental Training Program, based on the service learning methodology, focused on the analysis of participatory methodologies and university institutional requirements. It describes the service-learning methodology, supported by authors such as Tobon and Quezada, comprehensive training and skills; Mendia, service learning; Folgueiras and Sabariego, IAP. This methodology develops skills of knowing, knowing how to do and knowing how to be, applying knowledge acquired during their professional training in a social intervention project with characteristics of social responsibility.
Induced expression of three heat shock proteins mediated by thermal stress in Heortia vitessoides (Lepidoptera: Crambidae)

To gain an insight into the function of heat shock proteins (HSPs) in insects during thermal stress, three HSP cDNAs were identified in the transcriptome of adult Heortia vitessoides, one of the most destructive defoliating pests in Aquilaria sinensis (Loureiro) Sprenger forests. The open reading frames of HvHsp60, HvHsp70, and HvHsp90 were 1,719, 2,070, and 2,151 bp in length, respectively, and encoded proteins with molecular weights of 61.05, 75.02, and 82.23 kDa, respectively. Sequence analysis revealed that all three HSPs were highly conserved in structure. Regarding the stage‐specific expression profiles, HvHsp60, HvHsp70, and HvHsp90 mRNAs were detected in all developmental stages. Regarding the tissue‐specific expression profiles, the expression levels of the three HSP genes were different in various larval and adult tissues. Moreover, the expression patterns of heat‐stressed larvae, pupae, and adults indicated that HvHsp60, HvHsp70, and HvHsp90 were heat‐inducible. In particular, HvHsp60 transcripts increased dramatically in larvae and pupae that were heat‐stressed at 40°C and were upregulated in adults that were heat‐stressed at 35°C and 40°C. The expression of HvHsp70 significantly increased in all of the three different developmental stages at 35°C, 40°C, and 45°C. The expression of HvHsp90 obviously increased at 30°C, 35°C, and 40°C in larvae and could be induced at 35°C in pupae and adults. The results suggest that HSP60, HSP70, and HSP90 play a major role in protecting H. vitessoides against high‐temperature stress.
How Early Auditory Experience Affects Children’s Ability to Learn Spoken Words

It is generally assumed that deaf and hard-of-hearing children’s difficulties in learning novel words stem entirely from impaired speech perception. Degraded speech perception makes words more confusable, and correctly recognizing words clearly plays an important role in word learning. However, recent findings suggest that early auditory experience may affect other factors involved in linking the sound patterns of words to their referents. This chapter reviews those findings and discusses possible factors that may be affected by early auditory experience and, in turn, also affect the ability to learn word-referent associations. These factors include forming representations for the sound patterns of words, encoding phonological information into memory, sensory integration, and quality of language input. Overall, we learn that in order to understand and to help mitigate the difficulties deaf and hard-of-hearing children face in learning spoken words after cochlear implantation, we must look well beyond speech perception.
Restrição de contato social e saúde mental na pandemia: possíveis impactos das condicionantes sociais

Objetivo: analisar os impactos das condicionantes sociais preexistentes no Brasil sobre a saúde mental em condições de restrição de contato interpessoal pela pandemia de COVID-19. Método: pesquisa exploratória por meio de documentação indireta de fontes secundárias e primárias. Resultados: a pandemia de COVID-19 demandou medidas de restrição de contato social, gerando dilemas éticos, legais e econômicos. Essas restrições, contrariamente, podem atuar negativamente sobre a saúde individual, em especial a mental. Assumindo que a saúde não se restringe a parâmetros biomédicos, os condicionantes sociais assumem importante papel. Esses parâmetros ficam evidentes em países como o Brasil, em que a estrutura social é perversa e a desigualdade flagrante. Essa estrutura dificulta a adequação às normas preventivas da COVID-19 e atua sinergicamente às condicionantes sociais pré-pandêmicas interferindo decisivamente, na saúde mental. Considerações finais: é esperado que as mudanças repentinas e compulsórias, bem como as incertezas com o futuro acarretem sofrimento mental, devendo-se atentar para possíveis adoecimentos. Já se verifica agravamento de alguns estados psicopatológicos e aumento no consumo de álcool e drogas. Por fim, ficou evidente que a pandemia não só afastou pessoas, mas potencializou a distância preexistente para aqueles mais vulneráveis, agravando as condicionantes sociais de saúde.
Effects of fiber addition on performance of high-performance alkali activated slag concrete mixes: An experimental evaluation

Abstract There is an ever-increasing awareness on issues connected with emission of high amounts of greenhouse gases from various industries, including that from the concrete construction industry. Performances of alternative binder systems including geopolymers and alkali activated slag concretes are being investigated in this context. There is again a continuous drive to enhance their performances, both when green and on getting hardened and so also, simultaneous efforts are being made to take advantage of all the various fast-track, state-of-art construction technologies, leading to efficient, eco-friendly and economical infrastructure projects. The present authors have developed and evaluated a new set of such alkali activated slag concrete mixes having self-compacting property, along with higher mechanical properties (hereafter referred to as HPAASC mixes) using three industrial by-products, all obtained from iron and steel industry. While these HPAASC mixes have higher compressive strengths (in the range of 70–90 MPa), reasonable split and flexural strengths and are self-compacting, they continue to be brittle just as other high strength concrete mixes. In order to improve their cracking behaviour during failure, either under mechanical loads or on exposure to higher temperatures, addition of increasing amounts of steel fibers in HPAASC mixes is contemplated. Hence in the present study, the attempt is to study the effect of incorporation of fibers (within a small range of 0.4 − 0.8%) in the new class of high-performance, fibre reinforced. Self-compacting alkali-activated slag concrete mixes – (referred to as HFSASC hereafter). The present study evaluates the properties such as flow ability, compressive strength and flexural toughness performances for these mixes. Results in the present study indicate that, while all the HFSASC mixes exhibit satisfactory passing and flowing abilities specified as per EFNARC standards for self-compacting mixes, they exhibit enhanced toughness characteristics too.
Stock Forecasting using Fuzzy Neural Networks, Technical Indicators, and Foreign Exchange Rates

Using features derived from technical indicators of stocks and foreign exchange rates, this paper presents a forecasting plan for the KOSPI's rise and fall after one day based on the neural network with weighted fuzzy membership functions (NEWFM). To extract the features to be used in NEWFM, select the three technical indicators in the first step: Relative Strength Index (RSI), Commodity Channel Index (CCI), and Current Price Change (CPC). The second phase extracts 13 features derived from the KOSPI data from the three technology indicators selected in the first stage. It also extracts one feature derived from the technical indicators of the KRW/USD exchange rates from the KRW/USD exchange rates. In this way, 14 features will be used as inputs to NEWFM to forecast the KOSPI's rise and fall in a day. NEWFM uses 13 and 14 features to show forecasting performance of 58.86% and 59.38%, respectively. These experiments show that the KRW/USD exchange rates affects the rise and fall of KOSPI stock prices.
The effect of social entrepreneurs’ human capital on and firm performance: The moderating role of specific human capital

Abstract This study applies human capital theory to link social entrepreneurs’ characteristics and the performance of social ventures. Especially, considering the dualistic nature of social ventures, we investigate two specific human capital of entrepreneurs, such as prior social experience and prior commercial experience. These are associated with the venture’s goal of social mission and profit generation, respectively. In the Korean context, social enterprises have another function to provide jobs and increase employment rates in the time of low economic growth and economic inequality. Given this situation, it is necessary that researchers investigate what human capitals of social entrepreneurs are helpful to obtain better social and commercial performance and what specific human capitals may have moderating effects on the relationship between the human capitals of social entrepreneurs and the social and commercial performance of social ventures. In the results, first, that the younger, the highly educated, or from more prestigious universities social entrepreneurs are, the better social performance their social ventures show. Second, the younger, the highly educated, or from more prestigious universities social entrepreneurs are, the better commercial performance their social ventures show. Third, when social entrepreneurs with prior social experience graduates from more prestigious, the better social performance their social ventures show than others. Finally, when social entrepreneurs with prior commercial experience have output function background, the better commercial performance their social ventures show than others.
An Improved Hybrid Cuckoo Search Algorithm for Vehicle Routing Problem with Time Window

Transportation in economic systems such as services, production and distribution enjoys a special and important position and provides a significant portion of the country's gross domestic product. Improvements in transportation system mean improvements in the traveling routes and the elimination of unnecessary distances in any system. The Vehicle Routing Problem (VRP) is one of the practical concepts in the field of investigation and many attempts have been made by researchers in this area. Due to the importance of transportation issues in the real world and the status of these issues in the types of existing systems. In this paper, we investigate the Vehicle Routing Problem with Time Window (VRPTW) and provide a solution for it. The problem of routing vehicles with a time window is an extension of the problem of routing vehicles with limited capacity (CVRP) in which servicing must be done in a specific time window. The purpose of this problem is to optimize the route for each vehicle so as to minimize the total cost of the route and the number of vehicles used, and ultimately maximize customer satisfaction. In the paper, a hybrid method based on cuckoo search and greedy algorithm is proposed to solve the problem of VRPTW. For the cost function, different criteria have been used that are within the framework of the VRPTW problem within hard and soft constraints. In order to evaluate the proposed method, the dataset is used in different sizes. The proposed method is significantly higher compared to similar methods.
Protective role of ginseng extract against oxidative stress, reproductive and some biochemical parameters alterations induced by doxorubicin in male rats

This study investigates the modulating effect of ginseng against testicular toxicity, oxidative stress and changes in some biochemical parameters induced by doxorubicin. Twenty male rats were divided into four groups. The 1st group received distilled water orally (control group), The 2nd group received doxorubicin (5 mg/kg b.wt. intrapertenoineal) once a week for eight weeks, The 3rd group received ginseng extract (200 mg/kg b.wt.) daily for eight weeks and the 4th group received doxorubicin with ginseng extract by the same doses as in the 2nd and the 3rd groups respectively. At the end of the 8th week, blood and semen samples were taken for biochemical and semen analysis, respectively. The doxorubicin treated group had significantly higher serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), Creatine kinase (CK) and lactate dehydrogenase (LDH) along with lower levels of total protein, albumin and globulin. In addition, a significant decrease in antioxidant enzymes (SOD, CAT, GSHPx), and glutathione (GSH) associated with higher level of malondialdehyde (MDA) were observed. At the same time, the group that took doxorubicin with ginseng did not differ from control group in terms of these parameters. Male fertility study showed changes in testosterone and semen analysis in both groups treated with doxorubicin, while the group that took doxorubicin with ginseng showed an improvement towards control levels of these parameters. Thus ginseng supplement can reduce the negative effects of doxorubicininduce.
Quantum Mechanical Coherence of K+ Ion Wave Packets Increases Conduction in the KcsA Ion Channel

: We simulate the transmission of K + ions through the KcsA potassium ion channel ﬁlter region at physiological temperatures, employing classical molecular dynamics (MD) at the atomic scale together with a quantum mechanical version of MD simulation (QMD), treating single ions as quantum wave packets. We provide a direct comparison between both concepts, embedding the simulations into identical force ﬁelds and thermal ﬂuctuations. The quantum simulations permit the estimation of coherence times and wave packet dispersions of a K + ion over a range of 0.5 nm (a range that covers almost 50% of the ﬁlter domains longitudinal extension). We ﬁnd that this observed extension of particle delocalization changes the mean orientation of the coordinating carbonyl oxygen atoms signiﬁcantly, transiently suppressing their ‘caging action’ responsible for selective ion coordination. Compared to classical MD simulations, this particular quantum e ﬀ ect allows the K + ions to ‘escape’ more easily from temporary binding sites provided by the surrounding ﬁlter atoms. To further elucidate the role of this observation for ion conduction rates, we compare the temporal pattern of single conduction events between classical MD and quantum QMD simulations at a femto-sec time scale. A ﬁnding from both approaches is that ion permeation follows a very irregular time pattern, involving ﬂushes of permeation interrupted by non-conductive time intervals. However, as compared with classical behavior, the QMD simulation shortens non-conductive time by more than a half. As a consequence, and given the same force-ﬁelds, the QMD-simulated ion current appears to be considerably stronger as compared with the classical current. To bring this result in line with experimentally observed ion currents and the predictions based on Nernst–Planck theories, the conclusion is that a transient short time quantum behavior of permeating ions can successfully compromise high conduction rates with ion selectivity in the ﬁlter of channel proteins.
Directional lifting wavelet transform based SAR Image Compression

Data compression technology is an effective way to alleviate the pressure of transmission and storage on SAR system. The complex SAR image consists of amplitude and phase, the first-level image data of the SAR system. The information fidelity in SAR image is crucial to some special applications, such as interferometers and moving target detection. The objective of this scheme is to assess the potential of the Contourlet Transform (CT) in relation to the issue of noise removal in SAR intensity images. The contourlet transform can be seen as a filter bank implementation of the curvelet transform. This novel approach to non linear approximation aims at providing a better representation of the geometrical content of natural images. Recently, a stationary version has been proposed that preserves translation invariance. We compare the CT performances against the curvelet transform and the stationary wavelet transform for two different noise reduction techniques. Results indicate a better compromise between noise removals and also the proposed scheme significantly outperforms DLWT based scheme in terms of higher PSNR and compression ratio with better representation of SAR image.
Efficacy of intramuscular progesterone in prevention of preterm birth in patients with history of preterm birth

Preterm birth is associated with many adverse outcomes and is defined as birth of a baby before 37 weeks of gestation. Around 15 million babies born preterm around the world with survival rates at different gestational like less 23 week, 23 weeks, 24 weeks and 25 weeks are 0%, 15%, 55% and 80% respectively. If we look at worldwide rates of preterm deliveries, it is around 15% in Europe, 18% in Africa, 12% in America. Problems faced by babies born preterm are as follow: cerebral palsy, growth retardation, respiratory distress syndrome, intra ventricular hemorrhage, necrotizing enterocolitis, retinopathy of prematurity. The cost of management of preterm deliveries and babies is very high but unfortunately outcomes are not so good. So the focus is on prevention of preterm deliveries. Risk factors for preterm deliveries are maternal age, genetic ABSTRACT