Miracle-dz/UniFAR-FTUs huggingface dataset:
An intelligent software model design for estimating deposit banks profitability with soft computing techniques

Profitability of Turkish banking sector gained importance after national and international financial crisis happened in the last decade, which revealed the need to make a research on profitability and the factors determining profitability. In recent years, new techniques of soft computing (SC) like genetic algorithms (GAs), fuzzy logic (FL) and especially artificial neural networks (ANNs) have been applied into the financial domain to solve the domain issues because of their successful applications in nonlinear multivariate situations. An adaptive system was needed due to the fact that insufficient use of application software programs for SC and the fact that single software is only applicable for specific model. Furthermore, even though ANNs have been applied to many areas; little attention has been paid to estimation of bank profitability with ANNs. This article is intended to analyze and estimate the profitability of deposit banks in Turkey with an adaptive software model of ANNs which have not been previously applied for this context, comprehensively. The results from the software model, which processes the factors affecting profitability, indicate that all of the variables used have significant impacts in varying proportions on profitability and that obtained estimations achieved the targeted and acceptable performance of success. This software model is expected to provide easiness on estimating bank profitability, since giving successful estimations and not being affected by user differences. Additionally, it is aimed to construct a software model for being used in different fields of study and financial domain.
Bipolar PWM and LCL Filter Configuration to Reduce Leakage Currents in Transformerless PV System Connected to Utility Grid

Abstract—This paper presents PV system without considering transformer connected to electric grid. This is considered more economic compared to present PV system. The problem that occurs when transformer is not considered appears with a leakage current near capacitor connected to ground. Bipolar Pulse Width Modulation (BPWM) technique along with filter L-C-L configuration in the circuit is modeled to shrink the leakage current in the circuit. The DC/AC inverter is modeled using H-bridge Insulated Gate Bipolar Transistor (IGBT) module which is controlled using proposed Bipolar PWM control technique. To extract maximum power, Maximum Power Point Technique (MPPT) controller is used in this model. Voltage and current regulators are used to determine the reference voltage for the inverter from active and reactive current where reactive current is set to zero. The PLL is modeled to synchronize the measurements. The model is designed with MATLAB Simulation blocks and compared with the methods available in literature survey to show its effectiveness.
Psychological Impact, Self-perception and the Contributing Factors in Patients with Androgenetic Alopecia

Background: Androgenetic alopecia (AGA) is a common hair disorder which affects the patients’ psychology and social activities. Despite being the most prevalent alopecia in Malaysia, there are limited studies examining its psychological impact and patient’s perception on AGA. This study assessed these effects and determined their contributing factors in AGA patients. Methods: A prospective observational study was conducted involving all AGA patients attending dermatology clinics at two tertiary centers. Psychological impact was assessed using Hospital Anxiety and Depression Scale (HADS). Patient’s perception was assessed using Visual Analog Scale (VAS). Results: Sixty male patients and 41 female patients were recruited. The median age of patients was 29 years. The ethnic composition was Malay (30.7%), Chinese (34.7%) and Indian (34.6%). More females experienced mild AGA-related anxiety and depression compared to males (P<0.001). Young (age<40 years) and single individuals experienced more anxiety and depression than older, married patients (P<0.001). Patients who adopted coping strategies reported more anxiety (P=0.002) and depression (P<0.001) compared to those who were not using any coping strategy. Women were more dissatisfied with their hair condition (VAS score=4 [3])) compared to men (VAS score=5 [3]; P=0.002). Conclusion: AGA impairs patients’ psychology and affects their self-perception. Age less than 40 years old, female, unmarried, disease duration less than 4 years and adopting coping strategies were significant factors influencing the psychological impact and perception in AGA patients. Hence, early integration of psychological support to treatment of AGA is recommended.
Patients' satisfaction with midwifery services in a regional hospital and its referring clinics in the Limpopo Province of South Africa

Patients’ satisfaction with healthcare services is a measure of the quality of care received and of the responsiveness of healthcare systems to patients’ expectations. A quantitative, descriptive, cross-sectional study was undertaken to assess mothers’ satisfaction with maternity services at a regional hospital in the Limpopo Province of South Africa, and its 11 referring clinics. Structured interviews were conducted with 79 mothers during their postnatal visits. Many mothers were teenaged, single and unemployed. Overall, 51.9% (n = 41) of the interviewed mothers were satisfied; 32.5% (n = 25) were neutral; and 16.5% (n = 13) were dissatisfied with the care they had received during the intrapartum and early postpartum periods. Mothers were mostly satisfied with the general cleanliness of the ward; the information provided by nurses about looking after themselves and their babies at home, including breastfeeding; the way privacy was maintained; and the thoroughness of examinations done by doctors and midwives. Mothers were most dissatisfied with aspects concerning inadequate explanations of procedures and the lack of their involvement in decisions related to their care. Lack of pain relief during labour was also a serious concern. These aspects should be the focus of efforts to improve midwifery care at the participating hospital and its 11 associated clinics, and possibly also at other hospitals, in Limpopo.
Working Memory and Dynamic Measures of Analogical Reasoning as Predictors of Children's Math and Reading Achievement

Working memory and inductive reasoning ability each appear related to children’s achievement in math and reading. Dynamic measures of reasoning,based on anassessmentprocedure including feedback, may provide additional predictive value. The aim of this study was to investigate whether working memory and dynamic measures ofanalogical reasoning are uniquepredictors of children’s concurrent and subsequent reading and math achievement. School children (N=188, M=7.1years, SD=11months) were administered a dynamic test of analogical reasoning comprising a pretesttraining-posttest design. Pretest performance measures static reasoning ability, whereas posttest performance and feedback-needs during training are considered dynamic measures. Verbal and visuo-spatial working memories were assessed prior to dynamic testing. Performance on national reading and math achievement tests were gathered at two time points within one school year. A multilevel mixed-effects model indicated that verbal (but not visuo-spatial) working memory and dynamic reasoning measures formed unique predictors of concurrent and subsequent achievement in math and reading. Verbal working memory efficiency and performance on a dynamic test of analogical reasoning were both positively related to math and reading achievement in children in kindergarten, first grade and second grade. Dynamic assessment, in addition to working memory assessment, may be useful for educational psychologists when attempting to gauge children’ sf uture school performance. Copyright © 2013 John Wiley & Sons, Ltd.
Traditional plant functional groups explain variation in economic but not size‐related traits across the tundra biome

Abstract Aim Plant functional groups are widely used in community ecology and earth system modelling to describe trait variation within and across plant communities. However, this approach rests on the assumption that functional groups explain a large proportion of trait variation among species. We test whether four commonly used plant functional groups represent variation in six ecologically important plant traits. Location Tundra biome. Time period Data collected between 1964 and 2016. Major taxa studied 295 tundra vascular plant species. Methods We compiled a database of six plant traits (plant height, leaf area, specific leaf area, leaf dry matter content, leaf nitrogen, seed mass) for tundra species. We examined the variation in species‐level trait expression explained by four traditional functional groups (evergreen shrubs, deciduous shrubs, graminoids, forbs), and whether variation explained was dependent upon the traits included in analysis. We further compared the explanatory power and species composition of functional groups to alternative classifications generated using post hoc clustering of species‐level traits. Results Traditional functional groups explained significant differences in trait expression, particularly amongst traits associated with resource economics, which were consistent across sites and at the biome scale. However, functional groups explained 19% of overall trait variation and poorly represented differences in traits associated with plant size. Post hoc classification of species did not correspond well with traditional functional groups, and explained twice as much variation in species‐level trait expression. Main conclusions Traditional functional groups only coarsely represent variation in well‐measured traits within tundra plant communities, and better explain resource economic traits than size‐related traits. We recommend caution when using functional group approaches to predict tundra vegetation change, or ecosystem functions relating to plant size, such as albedo or carbon storage. We argue that alternative classifications or direct use of specific plant traits could provide new insights for ecological prediction and modelling.
The Role of Baseline Inflammatory Response Biomarkers in Predictingthe Prognosis in No Metastatic Gastric Cancer Patients Treated with Preoperative Chemoradiation

Purpose: To evaluate the prognostic potential of inflammatory response biomarkers neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) in predicting the outcome of gastric cancer patients undergoing neoadjuvant chemoradiation prior to surgical resection. Methods: Patients with localized, gastric adenocarcinoma received two cycles of induction chemotherapy of fluorouracil, docetaxel, and cisplatin (TPF) followed by 45 Gy of radiation and concurrent fluorouracil plus docetaxel then surgery for non-metastatic patients. Baseline NLR, dNLR, PLR and LMR calculated from peripheral blood cell count taken at pre-operation were compared with clinicopathological parameters. The prognostic value of baseline NLR, dNLR, PLR and LMR for disease free survival (DFS) and overall survival (OS) were assessed using Log rank and Cox regression. Results: The final analysis included 80 patient who had resection after neoadjuvant chemoradiation. The receiver operating curve (ROC) cut off values of baseline NLR, dNLR, LMR and PLR in predicting outcome were 2.4, 1.7, 5.1 and 130 respectively. Elevated NLR, dNLR, PLR, LMR, age of patients (≥ 50 years), stage III, grade 3 tumors, R1 resection and partial response to preoperative chemoradiation course with >10% residual tumor were significantly associated with decreased OS, and DFS. Multivariate analysis revealed that elevated NLR and dNLR were independent factors for worse OS and DFS hazard ratio (HR) 2.04 (95% CI=2.41-8.24), 6.63 (95% CI, 1.61- 10.32) and DSF with (HR) 1.84 (95% CI=3.27-7.36), 4.63 (95% CI=3.61-12.12) respectively. Conclusion: The baseline NLR, dNLR, LMR and PLR showed a significant association with different clinicopathological prognostic factors in gastric cancer patients receiving preoperative chemoradiation. Additionally, NLR, dNLR may be considered as potential independent prognostic indicators of clinical outcomes in this group of patients.
SUPPLY RESPONSE ANALYSIS OF RICE IN PAKISTAN: NORMALIZED RESTRICTED TRANSLOG PROFIT FUNCTION APPROACH

The study was designed to estimate output supply and inputs demand elasticities of rice crop in Gujranwala, Punjab, Pakistan. Data was collected from 100 respondents using proportional allocation sampling technique. The study utilized normalized restricted translog profit function approach for data analysis. Results indicated that the farmers were price responsive. Rice own price elasticity was 1.873. The output supply elasticity of rice with respect to education, land, fertilizer price and irrigation cost were 0.169, 1.274, -0.873 and -0.953 respectively. Irrigation demand elasticity with respect to education, land, fertilizer price, irrigation cost and output price were 0.144, 1.142, -0.783, -1.842 and 1.780 respectively. Fertilizer demand elasticity with respect to education, land, fertilizer price, irrigation cost and output price were 0.023, 0.792, -1.650, -0.851 and 1.851 respectively. Lastly the elasticity of profit with respect to education, land, fertilizer price, irrigation cost and output price were 0.200, 1.101, -0.832, -1.136 and 1.920 respectively. It is recommended that government should provide consistent electricity with stable rates, so that, they irrigate their fields through electric tube wells and ultimately their cost of irrigation decreases. The study also suggests that government should stabilized fertilizer prices to encourage its application. Furthermore government should raise procurement price of rice to encourage its supply this in turn will also increase profit of the farmers.
Evidence Based Practice for Oral Care in Children

As far as is known, general nursing care practices do not include specific evidence-based practices related to oral care in children. This study aimed to evaluate the evidence based nursing practice for oral care in children. This article is planned as a review article by searching the literature in this field. According to all age groups and the oral care in various specific situations located evidence in the literature were examined. It has been determined that the methods and frequency used in oral care practices performed by nurses in clinics differ from one hospital to another. In addition, it is seen that different solutions are used in basic oral care, oral care practices to prevent ventilator-associated pneumonia and evidencebased practice in mucositis management in children. As a result, a standard should be established in oral care practices for children and education for children is recommended. Keywords—Children, evidence based practice, nursing, oral care.
Sex Differentiation and Development of the Gonad in the Japanese River Lamprey, Lampetra japonica

Sex differentiation and development of the gonad were examined histologically during larval, metamorphosing, and young adult stages in the Japanese river lamprey, Lampetra japonica, collected throughout the year in the Assabu River, southern Hokkaido. Gonads of all ammocoetes with total lengths below 30 mm were sexually indifferent. During the subsequent course of larval growth, gonial germ cells developed to form definite cysts in all of the gonads examined, revealing the occurrence of the cystic stage in initial sex differentiation of the lamprey. In all ammocoetes with total length of 70-90 mm, germ cells in the cysts more or less showed meiotic nuclear changes, though the degree of appearance of the premeiotic cysts varied in different specimens observed. Differentiation of ovaries with growing oocytes followed the cystic stage in some larvae of total length of 70-90 mm. Testicular differentiation was observed to occur either with the breakdown of germ cell cysts and rearrangement of surviving germ cells at the cystic stage or with extensive degeneration of growing oocytes and development of gonial germ cells preexisting at the ovarian phase. It was presumed that about 10 to 20% of defined males of the lamprey had passed the latter course of testicular differentiation. A nearly 1: 1 ratio of sexes seemed to be established in the lamprey exceeding 150 rom in total length. The appearance of vitellogenic oocytes and of spermatocytes was never observed even in metamorphosed, downstream migrants of the lamprey. Since the investigation of Okkelbergl ) on the brook lamprey, Entosphenus wilderi, several reports have been concerned with sex differentiation and development of the gonad in several species of lampreys. In these reports, much attention has been paid to the occurrence of a female or intersexual stage in early period of gonadal development: female and male germinal elements coexist together without any distinct localization in the somatic stroma of the gonad of essentially all juvenile animals. Some workers such as Okkelberg2) and Champy3) regarded this as a feature of sexual indetermination at an initial stage of gonadal development. However,. Hardisty4) brought forward the interpretation that it was nothing but a reflection of an innate tendency of germ cells to differentiate autonomously in the female direction in the gonad of which future sexes had already been determined. There is paucity of information about reproductive physiology of Japanese lampreys, and detailed reports on the process of gonadal development and maturation are lacking so far as the present writers know. In the present study, the * Laboratory of FreshWater Fish-OUlture, Faculty of Fisheries, Hokkaido University (~! :§~#1:*i¥:! lf:'IlB~*:lt~! lf:~§! )
Faster Convolutional Architecture Search for Semantic Segmentation

Designing deep learning architectures is a complex task and requires expert knowledge. Convolutional Neural Networks involve different network topologies, layers, layer parameters. In order to automate the design process our approach is based on MetaQNN, the Q-learning agent design architectures by selecting CNN layers. We extend the approach for semantic segmentation task, where architecture involves encoder-decoder layers. To speed up the search process, we use a Hyperband-like technique. Our experiments are evaluated on CamVid urban street scene semantic segmentation dataset. The architectures designed by the Q-learning agent for semantic segmentation task are better than some commonly used hand-designed architectures with similar number of parameters.
Model for convection in binary liquids

A minimal, analytically manageable Galerkin type model for convection in binary mixtures subject to realistic boundary conditions is presented. The model elucidates and reproduces the typical bifurcation topology of extended stationary and oscillatory convective states seen for negative Soret coupling: backwards stationary and Hopf bifurcations, saddle node bifurcations to stable strongly nonlinear stationary and traveling wave (TW) states, and merging of the TW solution branch with stationary states. Also unstable standing wave solutions are obtained. A systematic analysis of the concentration balance for liquid mixture parameters has lead to a representation of the concentration field in terms of two linear and two nonlinear modes. This truncation captures the important large--scale effects in the laterally averaged concentration field resulting from advective and diffusive mixing. Also the fact that with increasing flow intensity along the TW solution branch the frequency decreases monotonically in the same way as the mixing increases --- the variance of the concentration distribution decreases --- is ensured and reproduced well. Universal scaling relations between flow intensity, frequency, and variance of the concentration distribution (degree of mixing) in a TW are predicted by the model and have been confirmed by numerical solutions of the full equations. The validity of the model is checked by comparison with numerical solutions of the full field equations.
Structure of Nests and Colony Sizes of the European Hornet (Vespa crabro) and Saxon wasp (Dolichovespula saxonica) (Hymenoptera: Vespinae) in Urban Conditions

Studies of different groups of insects in urban areas sometimes show large populations, greater than in non-urban areas. The reason for this is a presence in the cities some of dominating species which often occur almost en masse.This group includes, inter alia, hymenopterans and especially social wasps (Vespinae). Colonies and nests of two wasp species, the European hornet (Vespa crabro) and Saxon wasp (Dolichovespula saxonica) in areas of the city of Łódź in Poland were studied. Whole colonies positioned both in buildings as well in natural places, size of societies, parameters their nests, differentiation of cells in combs and their location were investigated. We also studied the correlation between the size of the nest and societies of these insects. It was found that nests established in the buildings are much larger, produced more individuals of reproductive castes and thus obtained a better reproductivesuccess especially for the hornet colonies whose queens prefer the buildings as a place to nest.
Does Borrowing (Formal / Informal) Matter for the Welfare of the Poor? Evidence from Thailand.

xii CHAPTER 1 RESEARCH OVERVIEW. 1 1.0 Introduction . 1 1.1 Research Background . 1 1.2 Problem Statement . 3 1.3 Research Objectives . 5 1.3. 1 General Objectives . 5 1.3. 2 Specific Objectives . 5 1.4 Research Questions . 5 1.5 Hypotheses of the Study . 6 1.6 Significance of the Study . 6
Assessment of Lindane and Atrazine Residues in Maize Produced in Ghana Using Gas Chromatography-Electron Capture Detector (GC-ECD) and Gas Chromatography-Mass Spectrometry (GC-MS)

Maize is consumed by over 95% of the Ghanaian populace and the practice of using Atrazine and Lindane (an Organochlorine) pesticides in its production has raised concerns about potential adverse effects on human health and the environment. A field survey was conducted in this study to assess farmers’ knowledge of safe handling and use of these chemicals as well as toxicity awareness and symptoms among farmers and traders. Residues of these pesticides in maize samples as well as the potential health risk associated with exposure to them were also evaluated. Composite maize samples were collected for nine of ten regions in Ghana and analyzed. Data obtained from the field survey indicate that a large proportion of farmers are at risk of pesticide poisoning through occupational exposure. Over 80% of applicators do not apply safety precautions during pesticide mixing and application; resulting in considerable prevalence of pesticide related illnesses in the study area. Residues of Lindane and atrazine were below detection limits of 0.005 mg/kg and 0.010 mg/kg respectively; except in the Ashanti region where atrazine was 0.05 mg/kg which was within the EU-MRL of 0.1 mg/kg. However, minute concentrations of other Organochlorines (endrin—0.007 mg/kg; heptachlor—0.023 mg/kg; alpha-endosulfan—0.013 mg/kg) were found in maize samples from Brong Ahafo, eastern, central and upper west regions. Though endrin and alpha-endosulfan were below the EU-MRL of 0.01 mg/kg and 0.10 mg/kg respectively, heptachlor was slightly above the EU-MRL of 0.01 mg/kg. The estimated dose for all these pesticides however does not pose direct hazard to human health although present in the maize samples since the values were lower than toxic thresholds and reference doses. However, due to the unsafe application practices by applicators, there exists a potential risk for systemic and carcinogenic health effects by these chemicals in the study area.