Miracle-dz/UniFAR-FTUs huggingface dataset:
Acute Ethanol Exposure Enhances Synaptic Plasticity in the Dorsal Striatum in Adult Male and Female Rats

Background: Acute (ex vivo) and chronic (in vivo) alcohol exposure induces neuroplastic changes in the dorsal striatum, a critical region implicated in instrumental learning. Objective: Sex differences are evident in alcohol reward and reinforcement, with female rats consuming higher amount of alcohol in operant paradigms compared to male rats. However, sex differences in the neuroplastic changes produced by acute alcohol in the dorsal striatum have been unexplored. Methods: Using electrophysiological recordings from dorsal striatal slices obtained from adult male and female rats, we investigated the effects of ex vivo ethanol exposure on synaptic transmission and synaptic plasticity. Ethanol (44 mM) enhanced basal synaptic transmission in both sexes. Ethanol also enhanced long-term potentiation in both sexes. Other measures of synaptic plasticity including paired-pulse ratio were unaltered by ethanol in both sexes. Results: The results suggest that alterations in synaptic plasticity induced by acute ethanol, at a concentration associated with intoxication, could play an important role in alcohol-induced experience-dependent modification of corticostriatal circuits underlying the learning of goal-directed instrumental actions and formation of habits mediating alcohol seeking and taking. Conclusions: Taken together, understanding the mechanism(s) underlying alcohol induced changes in corticostriatal function may lead to the development of more effective therapeutic agents to reduce habitual drinking and seeking associated with alcohol use disorders.
Empirical studies on software traceability: A mapping study

During the last decades, software traceability has been studied in a large number of studies, from different perspectives (e.g., how to create traces and what are its benefits). This large body of knowledge needs to be better explored and exploited by both practitioners and researchers: We need an overview of different aspects of traceability and a structured way to assess and compare existing work in order to extend it with new research or apply it in practice, Thus, we have conducted a secondary study on this large corpus of primary studies, focusing on empirical studies on software traceability, without setting any further restrictions in terms of investigating a specific domain or concrete artifacts. The study explores the goals of existing approaches and the empirical methods used for their evaluation. Its main contributions are the investigation of (a) the type of artifacts linked through traceability approaches; (b) the benefits of using artifact traceability approaches; (c) the ways of measuring their benefit; and (d) the research methods used. The results of the study suggest that (i) requirements artifacts are dominant in traceability; (ii) the research corpus focuses on the proposal of novel techniques for establishing traceability; and (iii) the main benefits are the improvement of software correctness and maintainability. Finally, although many studies include some empirical validation, there is still room for improvements and research methods that can be used more extensively. The obtained results are discussed under the prism of both researchers and practitioners and are compared against the state‐of‐the‐art.
Effectivity and Cost Efficiency of a Tax on Nitrogen Fertilizer to Reduce GHG Emissions from Agriculture

The use of nitrogen (N) fertilizer substantially contributes to greenhouse gas (GHG) emissions due to N2O emissions from agricultural soils and energy-intensive fertilizer manufacturing. Thus, a reduction of mineral N fertilizer use can contribute to reduced GHG emissions. Fertilizer tax is a potential instrument to provide incentives to apply less fertilizer and contribute to the mitigation of GHG emissions. This study provides model results based on a production function analysis from field experiments in Brandenburg and Schleswig-Holstein, with respect to risk aversion by calculating certainty equivalents for different levels of risk aversion. The model results were used to identify effective and cost-efficient options considering farmers’ risk aversion to reduce N fertilizer, and to compare the potential and cost of GHG mitigation with different N fertilizer tax schemes. The results show that moderate N tax levels are effective in reducing N fertilizer levels, and thus, in curbing GHG emissions at costs below 100 €/t CO2eq for rye, barley and canola. However, in wheat production, N tax has limited effects on economically optimal N use due to the effects of N fertilizer on crop quality, which affect the sale prices of wheat. The findings indicate that the level of risk aversion does not have a consistent impact on the reduction of N fertilizer with a tax, even though the level of N fertilizer use is generally lower for risk-averse agents. The differences in N fertilizer response might have an impact on the relative advantage of different crops, which should be taken into account for an effective implementation of a tax on N fertilizer.
INFORMATION TECHNOLOGY USAGE AND CUSTOMER ACCEPTANCE IN THE BANKING SECTOR: A CASE STUDY OF GUARANTY TRUST BANK, KIGALI, RWANDA

The study was inspired by the arising issues of concern related to why customer accounts were inactive. The study examined effect of Information technology usage on customer acceptance at GT Bank, Kigali Rwanda. The research design was a case study, with target population of 20,335 customers who used either ATM, Internet banking or mobile banking technologies, 3 e-banking staff and 5 GT Bank branch managers. The data analysis tool used was Statistical Package for Social Sciences (SPSS) version 16.0. Findings revealed that Mobile banking and ATM were mostly used more than Internet banking, depending on features of use and security. ATM features were more accepted compared to Internet banking and Mobile banking features. Multiple regression analysis found R the coefficient of correlation to be 0.927 signifying a very strong positive correlation between information technology usage and customer acceptance. The coefficient of determination R2 = 0.859 indicated that 85.9% of the variability in customer acceptance depended on stochastic model developed, whereas the remaining 14.10% was attributed to factors beyond the control of the study. The study recommended awareness campaigns about Internet banking technology and the provision of security awareness, to increase trust of customers using information technology.
Traduction automatique pour la normalisation du français du XVIIe siècle ()

L'etude des etats de langue anciens se heurte a un double probleme : d'une part la distance d'avec l'orthographe actuelle, qui empeche de recourir aux solutions standards de TAL, et d'autre part l'in-stabilite des systemes graphiques, qui complexifie l'entrainement de solutions directement sur le texte original. Reprenant ce probleme d'un point de vue des humanites numeriques, nous partons du raisonnement philologique qui sous-tend la creation du corpus d'entrainement, avant de recourir aux methodes traditionnelles de TAL pour comparer deux systemes de traduction automatique (sta-tistique et neuronale) et offrir un outil fonctionnel pour la normalisation du francais classique qui corresponde aux besoins des philologues.
Exercise-Based Interventions as a Management of Frailty Syndrome in Older Populations: Design, Strategy, and Planning

Exercise-based interventions emerged as the best alternative for treating frailty syndrome (FS). Recognized as a complex phenotype, the FS is a multifaceted aging expression determined by biologic, environment, and behaviors factors. The biological theories of human development perceive aging process as an accumulation of harmful biochemical changes, whose occurrence attends the course of life. The progressive losses of functional reserves that occur in the body systems are a hallmark of this negative process. Despite the biological effects of physical and cognitive decline, more contemporary studies have identified that the environmental and behavior factors such as malnutrition and negative psychological adjustment across the life span also contribute to the early appearance of FS. Notwithstanding the latest findings that consistently demonstrate an overall positive benefit of long-term-based exercise in the decrease and/or reversal of the FS with a substantial impact on their correlated outcomes, the focus of this chapter is to present strategies for designing exercise programs for this type of population, taking into account their practical application in the field.
Flower senescence in composite flowers, can understanding how dahlia florets senesce help to increase dahlia vase life?

The dahlia is popular as an ornamental garden plant in the UK, however, its value as a cut flower has been undermined by its short vase life. The vase life of dahlias is often no more than 5 days, whereas 10-14 days are required by the cut flower industry due to the supply chain involved in transporting cut flowers from growers to retailers, sufficient time in store, and still guaranteeing 5 days vase life to a consumer. The current study has considered ethylene sensitivity and how phytohormones interact with one another during the senescence process. In conjunction with these traditional methods, RNA sequencing and de novo assembly of the dahlia transcriptome in the cultivar 'Sylvia' has been carried out, resulting in an assembly of over 20,000 genes, many of which change in expression during floret senescence.
Nebulization Criteria and Quantification

The application of atomization technology is common in fields such as agriculture, cosmetics, environmental sciences, and medicine. Aerosolized drugs are administered using nebulizers to treat both pulmonary and nonpulmonary diseases. The characterization and measurement of nebulizers are of great significance in analyzing the performance and accuracy of the nebulizing system and the advancement of the technology. Nevertheless, the characterization of aerosols has been a long-standing challenge in scientific disciplines ranging from atmospheric physics to health sciences. The study of factors that influence nebulization has not been undertaken systematically using experimental techniques. Numerical modeling (NM) and computational fluid dynamics (CFD) can address such issues. This article provides a concise overview of the literature on the application of computational fluid dynamics to medical nebulizers and aerosol measurements.
Elaboration de revêtements antifouling par photoréticulation d'oligoisoprènes fonctionnalisés : étude de leurs activités antibactériennes, antifongiques et antialgales

Des oligoisoprenes porteurs de fonctions ammonium quaternaire et de groupements photoreticulables ont ete synthetises dans le but d’elaborer de nouveaux revetements antifouling non toxiques pour l’environnement. Ces oligoisoprenes fonctionnalises ont ete obtenus par modifications chimique du cis-1,4-polyisoprene carbonyltelechelique de faible masse molaire issu de la degradation controlee du caoutchouc naturel. Des materiaux souples ont ete ensuite elabores par deux processus de photoreticulation (radicalaire et cationique). Les cinetiques de pohotoreticulation ont ete etudiees en fonction de differents parametres (masse molaire, taux d’epoxydation, concentration en photoamorceur). Les proprietes de surface (energies de surface, rugosite) et physico-chimiques (DSC, TGA, taux de gonflement) des differents materiaux ont ete caracterisees. Enfin, les proprietes biocides et bacteriostatiques de ces materiaux (avec et sans groupements ammonium quaternaire) ont ete demontrees.
FA-Net: feature attention network for semantic segmentation of ship port

Abstract Accurate understanding of the scene of ship ports is important in a broad range of military and civilian applications, such as maritime management, maritime safety, fisheries management, maritime situational awareness (MSA), and ocean traffic surveillance. Semantic segmentation, which implements pixel-level classification, can achieve an exhaustive analysis of ship ports. However, in the earlier time, the state-of-the-art methods of semantic segmentation were mostly based on the study of natural images. Subsequently, semantic segmentation has been gradually widely used in remote sensing, but still few of them has focused on the parsing of ship ports in remote sensing. In order to realize a detailed analysis of ship ports, a novel framework (called Feature Attention Network) is proposed for the accurate segmentation of multiple targets in a ship port in this paper. In this framework, a multi-label classification auxiliary network is first designed to solve the problem of confused multiple prediction for one target by capturing more global context information. Then, an attention model is introduced to solve the problem of error segmentation between similar targets with different labels. Finally, a feature aggregation model is presented to obtain more contextual information. In addition, we construct a data set for the semantic segmentation of ship ports (called HRSC2016-SP) by labeling the HRSC2016 data set to evaluate our proposed framework. Our approach has achieved a state-of-the-art result (82.16% mIoU) on the test set of HRSC2016-SP.
Effect of Marital Conflict on Preschoolers’ Problem Behaviors: Moderating Role of Effortful Control

©The Korean Association of Child Studies This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Corresponding Author: Young-Kyung Moon, Professor, Department of Child Counseling & Education, Daejeon University, 62, Daehak-ro, Donggu, Daejeon, Korea E-mail: moonyk@dju.kr Professor, Dept. of Child Education & Counseling, Daejeon University, Daejeon, Korea1 Professor, Dept. of Childcare & Education, Chungcheong University, Chungju, Korea2 Young-Kyung Moon, Seon-Young Park
Role of Social Entrepreneurship in Supporting Business Opportunities and Entrepreneurship Competitiveness

The negative impacts of Covid-19 pandemic are felt greater than the positive ones. These negative impacts may make settlement of main economic development problems in Indonesia more difficult. The purpose of this research is to explain the important role of social entrepreneurship factor in encouraging business opportunities which may then increase economic growth, sustainable competitiveness and prosperity. Achieving this explanation requires primary micro-fundamental data from home business players in DIY and Central Java provinces. For the explanation, it employs a multiple path analysis with correlational recursive model. The research result shows that social entrepreneurship factor is able to enhance the opportunities higher than human capital and new product factors. However, despite positive and significant, the role of social entrepreneurship and business opportunities in encouraging competitiveness is still low compared to the role of new product which may be produced and the role of key factor, human capital. The implication of the recommended policy is that it still requires economy regulation to encourage the role of social entrepreneurial culture more extensively and comprehensively.
CSR Reports, CSR Disclosure Quality, and Corporate Reputations: A Systematic Literature Review

This paper provides a critical review of the literature addressing the relationships between CSR reports, their disclosure quality, and their effects on corporate reputation. CSR reports are deemed important to legitimate a company’s existence with its stakeholders. However, there is a debate around the use of this form of voluntary disclosure as the sole means of managing corporate reputation. To prepare for the emerging discourses, this study draws upon 90 papers published in leading academic journals, discussing related topics from the early 1990s to 2018. Hence, this paper proposes for discussion two major research questions: 1) whether CSR reports are associated with corporate reputations and 2) whether the quality of CSR disclosures is associated with corporate reputations. Along with the two proposed questions, the potential premise for a future empirical test is presented in a systematic exhibition.
Estimating Leopard Cat Prionailurus bengalensis Kerr, 1792 (Carnivora: Felidae) density in a degraded tropical forest fragment in northeastern Thailand

The Leopard Cat Prionailurus bengalensis is thought to be Asia’s most abundant wild cat. Yet, the species’ status is poorly known due to a lack of rigorous population estimates. Based on the few studies available, Leopard Cats appear to be more abundant in degraded forests, potentially due to increased prey availability. We conducted camera trap surveys, rodent live-trapping, and spatially-explicit capture-recapture analyses to estimate the density of Leopard Cats within a degraded tropical forest fragment (148km2) in northeastern Thailand. A total effort of 12,615 camera trap nights across 65km2 of trapping area resulted in at least 25 uniquely identified individuals. Average rodent biomass (the main prey of Leopard Cats) was highest in the dry evergreen forest (469.0g/ha), followed by dry dipterocarp forest (287.5g/ha) and reforested areas (174.2g/ha). Accordingly, Leopard Cat densities were highest in the dry evergreen forest with 21.42 individuals/100km2, followed by the reforested areas with 7.9 individuals/100km2. Only two detections came from the dry dipterocarp forest despite both an extensive survey effort (4,069 trap nights) and available prey. Although the dipterocarp supported the second highest average rodent biomass, it lacked a key prey species, Maxomys surifer, possibly explaining low encounter rates in that habitat. Our results provide important baseline information concerning the population status of Leopard Cat in southeastern Asia. Further, our findings corroborate with other studies that found a tolerance among Leopard Cats for degraded forests, highlighting the potential for forest fragments to serve as long-term conservation areas for the species.
Symptom and Anxiety Assessment in Gynecologic Cancer Patients Receiving Chemotherapy

Background: Side effects of chemotherapy usually disturbed the daily life of patients. During chemotherapy, quality of life of patients is affected by the severity of symptoms experienced. Objective: To evaluate the side effects experienced by gynecologic cancer patients receiving chemotherapy.Methods: Gynecologic cancer patients receiving chemotherapy (at least 1 cycle with standard premedication that included antiemetic drugs) between 18 June and 25 September 2019 were invited to this study. Participants were interviewed by our team for personal data and attitudes toward their disease and treatment. In addition, the Edmonton Symptom Assessment System (ESAS-Thai version) tool, and Multinational Association for Supportive Care in Cancer (MASCC) antiemetic tool were used to assess the symptoms during chemotherapy. Results: One hundred sixty-five participants entered this study. The mean age was 53.5. The three most common type of cancer were ovarian (37.6%), cervical (37.6%) and uterine cancer (21.8%). Most common chemotherapy was carboplatin plus paclitaxel (64.8%). Two-thirds of the participants believed they could be cured. The most common severe symptom from the ESAS tool was pain (20.6%), followed by fatigue (18.8%), appetite change (16.4%) and numbness (10.3%). In addition, 10.9% of patients experienced nausea/vomiting in acute phase, while 20.6% experienced it in the delayed phase. Conclusion: Our participants revealed positive attitudes toward cancer and treatment. Some patients experienced nausea and vomiting despite using antiemetic drugs. The most frequent self-reported symptom was pain. Therefore, pain control was necessary to improve their quality of life.
Process Intensification of Dichlorodiphenyltrichloroethane Detection Methods for Determining Trace Concentrations in Soils

Dichlorodiphenyltrichloroethane (DDT) residue in Ontario soil is expected to be found at trace levels, since it has been banned for over 45 years in Canada. This presents challenges to the efficiency and accuracy of conventional detection methods. This study intensified the conventional DDT detection method, in the characterization of aged soil samples collected from historically-treated sites in Ontario. Recovery, time consumption, and labor intensity were considered for the intensification evaluation. Ultrasonic probe extraction was found to significantly shorten the extraction time, with similar yield compared to ultrasonic water bath extraction and homogenized extraction. Homogenized extraction for 24 h following ultrasonic probe extraction can increase yield over 27%. Rotary evaporator concentration was used, since it can reduce the operating time with comparable recovery. The Florisil clean-up column used in the conventional method was removed from the intensified method, due to its negligible effect and high time consumption. The intensified method may be valuable for further investigation to determine other trace level organochlorine pesticide residues in soil samples.
Antioxidant Activity of Endophytic Bacterial Extract Isolated from Clove Leaf (Syzygium aromaticum L.)

Clove (Syzygium aromaticum L.) is one type of spice plant that has high antioxidant content because of the high eugenol compounds. However, iso-lating these bioactive compounds require a significant amount of biomass. A known alternative solution to overcome the problems is through the utiliza-tion of endophytic bacteria in clove leaves. Endophytic cloves leaf bacteria can be a good antioxidant resource. Endophytic bacteria are bacteria that grow in plant tissues that is not pathogenic, which can replace these plants. The aim of this study is isolating endophytic bacterial from clove leaves, screening endophytic bacteria, determining potential endophytic bacteria as producer antioxidant compounds, and identifying potential isolate using 16S rRNA. This study used endophytic bacteria isolated from clove leaves (Syzygium aromaticum L.). Antioxidant activity determined using DPPH method. It was founded 7 isolates of endophytic bacteria namely WDY1, WDY2, WDY3, WDY4, WDY5, WDY6, and WDY7. The isolate WDY6 shows the highest antioxidant activity. WDY6 isolate is identical to Staphylococcus sp. with a 100% similarity. Staphylococcus sp. has the highest antioxidant activ-ity in the stationary phase. The content of chemical compounds from WDY6 isolates is pyrazine that belongs to alkaloids.
Novel Bayesian Track-Before-Detection for Drones Based VB-Multi-Bernoulli Filter and a GIGM Implementation

Joint detection and tracking of drones is a challenging radar technology; especially estimating their states with unknown measurement variances. The Bayesian track-before-detect (TBD) approach is an efficient way to detect low observable targets. In this paper, we proposed a new variational Bayesian (VB)-TBD technique for drones based on Multi-Bernoulli filter, which implemented with unknown measurement variances. Current implementation includes an analytical Gaussian inverse Gamma mixtures solution, which applied to estimate augmented kinematic drones state under the same circumstance. The results demonstrate that the proposed filter is more accurate than other Multi-Bernoulli filters in cardinality estimation. The proposed algorithm estimates the fluctuated parameters for each drone and it has no difficulty in handling the crossing of multiple drones. The Optimal Subpattern Assignment (OSPA) distances of proposed algorithm under different SNR are less than the other filters. It can be seen that at SNR (–5dB), the proposed algorithm and the other filters settle to errors 51 m, 125 m and 200 m, respectively.