Miracle-dz/UniFAR-FTUs huggingface dataset:
Gleaner-Farmer Relationships: A Study of Recruitment and Relationship Development

Food loss and waste is a significant issue in the global food system. The agricultural practice of gleaning—recovery and distribution of unharvested produce directly from farms or the recovery of unsold produce from farmers markets—is seen as a multifunctional intervention, with the potential to address food loss, food insecurity, and the reliance of food pantries on processed food. While research has identified food donation and food recovery programs such as gleaning as potential solutions to issues of food loss and food insecurity, more research is needed to examine the actual communicative organizing practices associated with food recovery and gleaning efforts. With the aim of better conceptualizing the role that gleaning organizations might play in improving community food security and alleviating food loss, this study examines how gleaning programs develop and maintain relationships in emergency food systems. Based on 12 semistructured interviews with Vermont gleaning professionals, we aim (1) to describe the relationship between gleaning coordinators and farmers, with a focus on effective communication strategies for initiating and maintaining the relationship; and (2) to determine if participation in gleaning can add value to a farm enterprise. Results demonstrate the importance of farmers’ sense of community responsibility and gleaners’ individualized communication with farmers and knowledge of farming practices to the development and maintenance of gleaning relationships.
Effect of Lactobacillus plantarum on noxious gas emission and carcass quality grade in finishing pigs

bacillus plantarum (L. plantarum), 2.0 × 10 colony forming units (CFU)/kg) on reduction of noxious gas emission in pig houses as well as improvement of carcass weight and quality in finishing pigs. A total of 850 finishing pigs were assigned to four treatment groups: control (CON, basal diet) (n=190), LP-0.1, 0.1% LactoPlanta® (n=210), LP-0.2, 0.2% LactoPlanta® (n=230), and LP-0.4, 0.4% LactoPlanta® (n=220). Ammonia and hydrogen sulfide concentrations were significantly reduced in all treatment groups compared to CON. Mercaptan contents and carcass weights of LP-0.2 and LP-0.4 were significantly decreased compared to CON, whereas there were no significant differences between LP0.1 and CON. Carcass weight of LP-0.1 was slightly higher than that of CON, but there was no significant difference. However, carcass weights of LP-0.2 and LP-0.4 were significantly higher than that of CON (P<0.05). The prevalence of grade A carcasses in groups administered with L. plantarum (46.7~63.3%) was higher than that in CON (43.3%) and increased in a dose-dependent manner. Based on the results of this study, L. plantarum could be an effective candidate to reduce noxious gas emissions in finishing pig houses as well as improve carcass weight and quality in finishing pigs.
Effectiveness and safety of benralizumab for severe asthma in clinical practice (J-BEST): a prospective study

Background Benralizumab is a humanized, fucosylated, monoclonal antibody that targets the interleukin 5 (IL-5) α receptor. Several phase III trials have shown that benralizumab can significantly reduce the incidence of acute exacerbations and improve lung function in patients with severe asthma. However, there is a paucity of data from clinical practice. In this prospective study, we evaluated the effectiveness and safety of benralizumab for severe asthma in clinical practice. Methods This was a prospective, open-label, single-arm, single-center study in patients with severe asthma in clinical practice (UMIN000031951). Haematological, clinical, functional, and pharmacotherapeutic parameters were evaluated at baseline and at weeks 4 and 12 after initiation of benralizumab. Results Twenty-six patients were enrolled between May 2018 and March 2019. Both asthma quality of life questionnaire (AQLQ) score and asthma control test (ACT) score showed significant improvement over the study period. Forced expiratory volume in 1.0 second (FEV1) showed a significant increase at week 12 (baseline: 1.57 L; week 12: 1.75 L). Blood eosinophil and basophil counts were significantly decreased at week 12 compared to baseline. At week 12, the dose of regular oral corticosteroids (OCS) was significantly decreased from baseline as was the number of patients on need-based OCS. Benralizumab had no significant effect on fractional exhaled nitric oxide (FeNO) levels and total immunoglobulin E levels. Only one patient experienced mild headache during benralizumab therapy. Conclusions In this study, benralizumab conferred clinically significant benefits in patients with severe asthma with no short-term severe adverse events.
Comparative Study of Post-Marriage Nationality Of Women in Legal Systems of Different Countries

This study aims to examine the effect of customer satisfaction on customer loyalty through the mediation of brand religiosity image. The sample in this study amounted to 170 respondents, who are customers of Islamic banks in Makassar, South Sulawesi, taken in December 2019 to January 2020. This research is a quantitative study, with the analysis technique of structural equation model (SEM) using SmartPLS 3 as an analysis tool. The results of this study indicate that direct satisfaction and brand religiosity image significantly influence customer loyalty and indirectly satisfaction affect loyalty through mediating brand religiosity image.
An immunohistochemical study of HER2 expression in primary brain tumors

Background Primary brain tumors (PBTs) include any tumor in the brain whose prognosis is weak because of their histological characteristics. Aim Herein, this study aimed to assess the HER2 tumor marker frequency in PBTs. Materials and methods This study was done on the samples of primary brain tumor diagnosis from 2008 to 2015. Results Out of 107 patients of brain tumor that had a mean age of 40.4 years (61.7% men), the most common location of the tumor was in the supratentorial region (63.85% cases). The prevalence of high-grade astrocytoma (HGA) and low-grade astrocytoma (LGA) at diagnosis was 43.9% and 37.4%, respectively. With regard to HER2 score, HER2-positive (scores 2 & 3) was in 42.1% of patients. On the other hand, HER2-negative (−) was in 57.9%, 2+ in 33.6%, and 3+ in 8.4% of patients. The patients of LGA had significantly younger ages, lower HER2 positivity, and lower HER2 percent compared with the HGA patients. Conclusions The type of brain tumors can impact on HER2 expression that high HER2 expression in HGA may be helpful for therapeutic aims. Further studies are required to support these results with a higher volume of patients in the world.
Free patch-based age estimation from facial images by convolutional neutral network

In biometric and computer vision studies, estimating age from facial images is an important task with practical value. However, due to the complexity of aging process and the lack of appropriate databases, it is hard to develop an automatic age estimation system based on facial images. Aiming to overcome these difficulties, this paper proposes a free patch-based method for age estimation. The method selects a set of skin patches extracted from facial images as the studied objects, instead of examining the holistic images. For investigating the biometric features behind those skin patches, the deep learning tool Convolutional Neural Network is deployed. Along with the implementation of several experiments on patches, the possibility of classifying people’s age group by this proposed method is evaluated in this paper.
In Vitro Antitumor Activity of Olive Oil Tyrosol and Hydroxytyrosol and their Methyl Carbonate Derivatives

A Mediterranean diet rich in olive oil has been associated with health benefits in humans. The phenolic compounds found in virgin olive oil have demonstrated antitumor activity and antioxidant properties. The aim of this study was to confirm the in vitro antiproliferative effect of tyrosol (TYR) and hydroxytyrosol (HTYR) on human cancer cell line and to investigate and compare the antitumor effect of methyl carbonate derivatives of these natural compounds as tyrosol methyl carbonate (TYRMC) and hydroxytyrosol methyl carbonate (HTYRMC) synthesized in our laboratory by an eco-friendly procedure. Four human tumor cell lines of melanoma (M14), pulmonary (H125), colon (WiDr) and promyelocytic leukaemia (HL60) were growth in the presence of 3.125, 6.25 12.5, 25, 50 and 100 mcg/ml of TYR, HTYR, TYRMC and HTYRMC for 24, 48 and 72 h. The antiproliferative activity was assayed by counting the cells in trypan blue, the apoptosis induction and cell cycle profiles were evaluated by flow cytometry analysis. A significant growth inhibition was observed in each tumour cell line exposed to these molecules in the experimental conditions described above. In addition this study demonstrated that HTYRMC results more effective in cell growth inhibition and apoptosis induction reaching 98.2% at the concentration of 100 mcg/ml. However, further studies are necessary to better understand the mechanisms of these molecules on tumour cell growth. _____________________________________________________________________________________________________________
Application of Asset Pricing Models: Evidence From Saudi Exchange

The Saudi Arabia Stock Exchange (Tadawul) is one of the biggest emerging Stock Exchanges in the Middle East region. Therefore, this research aims to apply Fama and French (2015) 5-factor model on Tadawul, and compares it with the Fama and French 3-factor model and CAPM to check the applicability of the models in Tadawul and the identity of the factors that can affect stock returns. Furthermore, the Generalized Method of Moments (GMM) regression has been implemented to examine the impact between the variables in the models. Empirically, the results show that Fama and French (2015) 5-factor model is the most consistent model in comparison to the other two models in terms of explaining the cross-section of average stock returns in Tadawul. However, it is not the best according to the intercepts results of all the regressions in 2x3, 2x2, or 2x2x2x2 sorts. Besides, Fama and French (2015) 5-factor model has the highest explanatory power in most of the portfolios based on the adjusted R2 regardless of the sort (2x3, 2x2, or 2x2x2x2). Finally, the results conclude that Fama and French (2015) 5-factor model can be an applicable model in Tadawul but only market and size can affect the stock returns, while the value, profitability, and investment cannot. Accordingly, the author recommends that, as a continuation of this research, further research can be done, which investigates a model with additional factors like momentum and illiquidity.
Adaptation of Stirling children’s well-being scale (SCWBS) in Bangladesh context

The purpose of this study was to adapt Stirling Children’s Well-Being Scale (SCWBS) for measuring well-being of children of Bangladesh. Data were collected from 238 students, ages between 10 to 16 years of three different schools of Dhaka city. Psychometric properties were measured through Cronbach’s alpha (0.746), split-half (0.782), test-retest (0.791), which were satisfactory, respectively at 0.05, 0.05, and 0.01 level of significance. The demonstration of construct validity with Beck Self-Concept Inventory for Youth (BSCI-Y) and Beck Anxiety Inventory for Youth (BAI-Y) (two subtests of Adapted Bangla Beck Youth Inventories of Emotional and Social Impairment Scale) were 0.668 and –0.350, respectively, and item-total correlation (0.258 to 0.451) was also satisfactory. Thus psychometric results support that Bangla SCWBS is suitable for use in Bangladesh context. Mental health professionals can use Bangla SCWBS as a useful tool to assess changes in children’s wellbeing from a positive psychological perspective.
Pattern of Quitting Methods Used to Promote Tobacco Cessation in Bangladesh and Its Correlates

Background: Promotion of smoking cessation has been proposed as one of the primary areas of focus for tobacco control in developing countries as prevalence is high over there. This paper aimed to analyze statistically quitting method followed by the smokers who wanted to quit tobacco use in the past 12 months of the survey. Methods: The paper was based on secondary data of size 9629 collected from people aged 15 years and above by the Global Adult Tobacco Survey (GATS), 2010. Descriptive analysis and binary logistic regression had been performed using STATA-13 to analyze the data. Outcome variable was whether quitting method(s) was (were) followed by the tobacco user (1. Tobacco smoker, and 2. Smokeless tobacco user) who wanted to quit tobacco use in the past 12 months of the survey and independent variables were age, gender, residential status, education, occupation and wealth index. Results: It had been found that 47.38% of smoker respondents tried to quit tobacco smoking and among them 27.13% used any method to quit. It had been also found that among the smokeless tobacco users, 31.89% tried to quit and among them 24.83% used any method to quit. Among the quitting methods, counselling was the most used method. From the logistic regression to methods used to quitting tobacco use, it had been found that age, education and wealth index were significantly associated with the use of methods to quit tobacco smoking; whereas, gender, age and wealth index were statistically significant to the use of methods to quit smokeless tobacco. Conclusions: This study suggests that more active quitting methods should be invented targeting male, younger, lower educated and poorer tobacco users to make the cessation successful in Bangladesh.
Development of Route Improvement Mechanisms for NDN

Named Data Networking (NDN) was developed to improve the network architecture. To be suitable for the current network connection type, which is Content-Distribution Which has a data packet named with a prefix and the recipients of the data use the interest packet sent to the network to find the desired data without worrying about the source and can Cache the data on the router device. Although the NDN network provides a way to make data available the name prefix is directed and can be backed up, but the NDN network architecture There are still many problems, and one of the important problems is Connection path improvements That needs to be Responsiveness that is not yet fast for changing of the network. In this research we designed and developed the Longest Prefix Reduction (LPR) for NDN networks by improving the routing cost of the connection path. To respond to failed connection routes faster, from this research helps improve the route faster, significantly helping Increase the transmission rate, get more information. Which allows connection in NDN network has improved performance. Keywords—NDN, NFD, Route improvement, NDN Testbed.
Technology for compiling supporting abstracts in the organization of students' independent work

In the conditions of modern Russian reality, higher educational institutions are faced with the need to train a highly qualified specialist capable of active independent activity. Speaking about independence, we note that this is one of the main features of a modern student and a future specialist, since the labor market needs employees who are fully prepared to solve professional problems, able to join professional activities immediately after graduation from higher school. Based on this need, higher education institutions try to build a learning process that can form a competent graduate who creatively applies his knowledge in practice. To do this, various innovative methods and tools are introduced into educational process. The purpose of the article is to analyze the experience of implementing the technology of making reference notes in the organization of independent work of students. The article presents an overview of the concept of "reference abstract" and "independent work", reveals the importance of independent work and features of its organization using reference notes. The study shows the possibilities of reference notes in the process of training students of pedagogical universities. The study revealed the performance Аннотация В условиях современной российской действительности высшие образовательные учреждения столкнулись с необходимостью формирования высококвалифицированного специалиста, способного к активной самостоятельной деятельности. Говоря о самостоятельности, отметим, что это одна из главных черт современного студента и будущего специалиста, поскольку рынок труда нуждается в сотрудниках, полностью подготовленных к решению профессиональных задач, способных включиться в профессиональную деятельность сразу после выпуска из высшей школы. Опираясь на данную потребность, высшие учебные заведения стараются выстроить процесс обучения, способный сформировать компетентного выпускника, творчески применяющего свои знания на практике. Для этого в образовательный процесс внедряются различные инновационные методы и средства. Цель статьи заключается в анализе опыта реализации технологии составления опорных конспектов в организации самостоятельной работы студентов. В статье представлен обзор понятия «опорный конспект» и 132 Minin Nizhny Novgorod State Pedagogical University, Russia 133 Togliatti State University, Russia 134 Minin Nizhny Novgorod State Pedagogical University, Russia 135 V.I. Vernadsky Crimean Federal University, Russia 136 Bashkir State University, Russia Vaganova, O. , Korostelev, A. , Chelnokova, E. , Bugoslavskaya, A. , Melnikova, A. / Volume 9 Issue 27: 376-382 /
Subjektívna pohoda českých a slovenských sestier a ich úvahy o odchode

Cieľ: Cieľom medzinarodnej prierezovej studie bolo zhodnotiť uroveň subjektivnej pohody ceských a slovenských sestier a jej vzťah k dĺžke klinickej praxe a ich uvažovaniu o odchode z pracoviska, profesie sestry a do zahranicia. Metodika: Výskumný subor tvorilo 1055 sestier pracujucich v ložkových zariadeniach. Subjektivnu pohodu sestier sme hodnotili prostrednictvom Indexu osobnej pohody a Skaly emocionalnej, habitualnej subjektivnej pohody. Rozdiely v subjektivnej pohode sme zisťovali jednorozmernou analýzou rozptylu (ANOVA), na zistenie zavislosti medzi premennými sme použili Pearsonov korelacný koeficient. Výsledky: Ceske sestry castejsie preživali pozitivne a menej casto negativne emocie (afektivny komponent subjektivnej pohody) v porovnani so slovenskými sestrami. Životna spokojnosť (kognitivny komponent subjektivnej pohody) bola na urovni 60 - 70 % maxima stupnice, typickeho pre "nezapadne" krajiny (65,02; SD 15,80 - ceske sestry; 63,80; SD 16,43 - slovenske sestry). Statisticky významne rozdiely v životnej spokojnosti medzi uvedenými skupinami sestier sa nepreukazali. Subjektivna pohoda sestier sa negativne spajala rokmi praxe, ako aj uvahami o odchode z pracoviska, z osetrovateľskej profesie a odchode pracovať do zahranicia. U slovenských sestier sa preukazali silnejsie vzťahy medzi jednotlivými komponentmi subjektivnej pohody a ich uvažovanim o odchode. Zaver: Výsledky studie reflektuju zvysujucu sa pracovnu neistotu sestier, ktoru zaznamenavame v oboch krajinach v posledných rokoch. Ďalsi výskum by sa mal zameriavať na identifikaciu ďalsich faktorov, predovsetkým z oblasti pracovných podmienok, ktore možu významne vplývať na subjektivnu pohodu sestier.
CHANGES IN PB, CR AND CU CONCENTRATIONS IN SOME BIOINDICATORS DEPENDING ON TRAFFIC DENSITY ON THE BASIS OF SPECIES AND ORGANS

The growing population and industrialization is causing air pollution. In some cities pollution has reached to a point where it is threatening human lives. Pollution has become one of the biggest issues of today’s world. Pollutants are produced by exhaust gases, car wheels, and vehicles. Heavy metals (HM) are one of the major culprits that cause air pollution. This is due to the fact that HM can exist in the environment for a long time without deterioration, and their concentration in the atmosphere is evergrowing. They also tend to bioaccumulate. Therefore, determining HM concentration levels is crucial in terms of identifying risk zones and levels. Bioindicators are the most important determinants that can indicate the change in the concentration of HM in the atmosphere. This study aims to monitor the changes in Pb, Cr and Cu concentrations in the leaves, seeds and branches of cherry plum (Prunus ceracifera), horse chestnut (Aesculus hippocastanum), Tilia (Tilia tomentosa), European ash (Fraxinus excelsior) and Norway maple (Acer platanoides) species, which can be used for monitoring the traffic-induced HM concentration. We observed that the concentration of all the elements increased according to the traffic density, this is especially visible in the case of Pb and Cr.
European Journal of Physical Education and Sport Science-2501-1235

Studies have indicated that participation in physical activity (PA) enhances health and reduces mortality rates. The current study investigated longitudinal PA levels in Greek older individuals, analyzing data of the Survey on Health, Ageing and Retirement in Europe (SHARE). In addition, predictors of the PA levels in 2020 were examined including the PA measures in 2017 and various variables. The SHARE is a cross-national database of non-institutionalized older population from 28 European countries. The current study analyzed the Greek sample of SHARE’s waves 7 and 8. In particular, 1767 individuals, 748 men and 1.019 women (69.40 ± 9.56 years) filled in the PA questions in both studies. To identify differences over time and PA predictors, Wilcoxon tests and Multinomial regression analyses were conducted respectively, due to the categorical form of the PA variables. Significant decreases were found between the vigorous PA measures in 2017 and 2020 (z = -2.80, p < 0.05), as well as between the moderate PA assessments in 2017 and 2020 (z = -4.88, p < 0.01). Young age, low alcohol consumption, few chronic diseases and activities’ limitations, low depression, as well as positive feelings and satisfaction with life and high levels of longitudinal PA, life expectancy and participation in sport and social clubs were significant predictors of high PA levels. Therefore, to enhance PA levels, interventions promoting active and healthy aging, positive feelings, life satisfaction and social activities should be adopted.
Face Class Modeling based on Local Appearance for Recognition

This work proposes a new formulation of the objects modeling combining geometry and appearance. The object local appearance location is referenced with respect to an invariant which is a geometric landmark. The appearance (shape and texture) is a combination of Harris-Laplace descriptor and local binary pattern (LBP), all is described by the invariant local appearance model (ILAM). We applied the model to describe and learn facial appearances and to recognize them. Given the extracted visual traits from a test image, ILAM model is performed to predict the most similar features to the facial appearance, first, by estimating the highest facial probability, then in terms of LBP Histogram-based measure. Finally, by a geometric computing the invariant allows to locate appearance in the image. We evaluate the model by testing it on different images databases. The experiments show that the model results in high accuracy of detection and provides an acceptable tolerance to the appearance variability.
Optimizing Convolutional Neural Network Parameters for Better Image Classification

The work presented here works on getting higher performances for image recognition task using convolutional neural networks on the MNIST handwritten digits data-set. A range of techniques are compared for improvements with respect to time and accuracy, such as using one-shot Extreme Learning Machines (ELM) in place of the iteratively tuned fully-connected networks for classification, using transfer learning for faster convergence of image classification, and improving the size of data-set and making robust models by image augmentation. The final implementation is hosted on cloud as a web-service for better visualization of the prediction results.