Miracle-dz/UniFAR-FTUs huggingface dataset:
The relationship between self-control and mental health problems among Chinese university students

Background Mental health issues are often associated with poor self-control. Therefore, effective interventions against mental health problems should include self-control training. However, it is unclear whether the effect of self-control varies across different types of mental health problems. Methods A cross-sectional survey was conducted using the convenience sampling method at five universities in Chongqing, China, where 1,409 students reported their demographic information, level of self-control, and symptoms of irritability, depression, and anxiety. Descriptive statistical methods and a network analysis approach were employed to explore the relationship between self-control and symptoms of irritability, depression, and anxiety among 1,409 students. The bridging links between self-control and the three mental health problems were analyzed. Results The findings revealed a negative correlation between self-control and symptoms of irritability, depression, and anxiety among university students. Impulse control was found to be the bridge between self-control and irritability or anxiety symptoms, while resistance to temptation was the bridge between self-control and depressive symptoms. Conclusion These results demonstrate the different relationship between self-control with irritability, anxiety, and depressive symptoms. The findings of this study may shed light on future mental health interventions for university students during potential public health emergencies, such as prior knowledge of the main types of psychological problems among university students, which may allow for the development of precise self-control intervention strategies, such as targeting impulsivity or resistance to temptation.
Trend Modelling as a Support of Managerial Decision-Making Process in Relation to Customers

The issue of managerial decision-making in relation to customers plays a significant role in any enterprise. Managerial decisions are often based on input information that is difficult to quantify. Therefore, common statistical methods cannot be easily used. A trend is the least informative quantifier. The goal of the paper is to present a new formal tool of the managerial decision-making process based on the trend model. This tool is demonstrated using the following variables: word of mouth, electronic word of mouth, brand trust, consumer experience and consumer price perception. These variables were chosen from scientific papers that confirmed a relationship among them. A trend analysis of the model involves assessing the relevant group of particular situations. The model’s predictions can be described as a sequence of these scenarios. The findings show that the trend model is a powerful and suitable tool in the managerial decision-making process.
Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science

The release of ChatGPT has initiated new thinking about AI-based Chatbot and its application and has drawn huge public attention worldwide. Researchers and doctors have started thinking about the promise and application of AI-related large language models in medicine during the past few months. Here, the comprehensive review highlighted the overview of Chatbot and ChatGPT and their current role in medicine. Firstly, the general idea of Chatbots, their evolution, architecture, and medical use are discussed. Secondly, ChatGPT is discussed with special emphasis of its application in medicine, architecture and training methods, medical diagnosis and treatment, research ethical issues, and a comparison of ChatGPT with other NLP models are illustrated. The article also discussed the limitations and prospects of ChatGPT. In the future, these large language models and ChatGPT will have immense promise in healthcare. However, more research is needed in this direction.
Antimicrobial Activity of Filtered Far-UVC Light (222 nm) against Different Pathogens

Ultraviolet (UV) light is an effective disinfection technology, able to inactivate a wide range of microorganisms, including bacteria and fungi. A safer UV wavelength of 222 nm, also known as far-UVC, has been proposed to minimize these harmful effects while retaining the light's disinfection capability. This study is aimed at exploring the antimicrobial activity of filtered far-UVC (222 nm) on a panel of pathogens commonly found in nosocomial installations. A panel of Gram-positive and Gram-negative bacteria and yeast pathogens was tested. Microorganisms were deposited on a plastic surface, allowing them to dry before exposure to the far-UVC light at a distance of 50 cm. Results showed that far-UVC light successfully inhibits the growth of the tested pathogens, although at different exposure times. In conclusion, the results of this study provide fundamental information to achieve reliable disinfection performance with far-UVC lamps with potential applications in healthcare facilities like hospitals and long-term care homes.
Developmental activities of elite junior hockey players: an analysis of early sport specialization

Early sport specialization is a popular and contentious topic in the scientific literature and popular media. The lure of extrinsic rewards has led to increasing rates of specialization among young athletes, while expert recommendations promote multisport participation. The purpose of this study was to describe and analyze developmental activities of a group of elite junior hockey players in Canada. Within this context, elements of specialization were investigated in accordance with existing theoretical frameworks and long-term athlete development models to enhance the literature. Fifteen participants from the Ontario Hockey League completed quantitative retrospective interviews, detailing past sport and recreational activities. Thirty-one developmental milestones were assessed. Accumulated hours of activity were categorized in accordance with Côté's (1999) Developmental Model of Sports Participation, along with the number and types of sports in which they participated during childhood. Jayanthi et al.'s (2015) continuum was utilized to determine the age at which the athletes became moderately and highly specialized. Accrued hours of deliberate practice reported by participants increased from ages 6 to 16 years, as did competition in organized hockey games. Reported hours of deliberate play peaked at 9 years of age and decreased thereafter. Participants played a combined 16 sports other than hockey, ranging from an average of 2.0 at age 6, to a maximum average of 5.6 at 12 years old, and decreasing each year to 2.3 by age 15. The greatest number of hours in other sports was accumulated at 12 years of age. Using a three-point scale, participants considered themselves “highly specialized” at 14 years old; however, other quantitative indicators suggested this may have occurred at 12 years of age. Relative to previous research on early sport specialization, participants in this study spent more time practicing hockey, while ceasing hockey-specific play and other sports at younger ages. Despite a diverse sport history, hockey competition was initiated earlier than recommended, showing high levels of sport commitment as young as 9 years old. The early specialization path remains a popular trajectory among coaches, parents, and athletes in Canadian ice hockey.
Cobalt-free layered perovskites RBaCuFeO5+δ (R = 4f lanthanide) as electrocatalysts for the oxygen evolution reaction

Co-based perovskite oxides are intensively studied as promising catalysts for electrochemical water splitting in an alkaline environment. However, the increasing Co demand by the battery industry is pushing the search for Co-free alternatives. Here we report a systematic study of the Co-free layered perovskite family RBaCuFeO5+δ (R = 4f lanthanide), where we uncover the existence of clear correlations between electrochemical properties and several physicochemical descriptors. Using a combination of advanced neutron and X-ray synchrotron techniques with ab initio DFT calculations we demonstrate and rationalize the positive impact of a large R ionic radius in their oxygen evolution reaction (OER) activity. We also reveal that, in these materials, Fe3+ is the transition metal cation the most prone to donate electrons. We also show that similar R3+/Ba2+ ionic radii favor the incorporation and mobility of oxygen in the layered perovskite structure and increase the number of available O diffusion paths, which have an additional, positive impact on both, the electric conductivity and the OER process. An unexpected result is the observation of a clear surface reconstruction exclusively in oxygen-rich samples (δ > 0), a fact that could be related to their superior OER activity. The encouraging intrinsic OER values obtained for the most active electrocatalyst (LaBaCuFeO5.49), together with the possibility of industrially producing this material in nanocrystalline form should inspire the design of other Co-free oxide catalysts with optimal properties for electrochemical water splitting.
Derinkuyu dry bean irrigation planning in semi-arid climate by utilising crop water stress index values

: This study was conducted to determine crop water stress index ( CWSI ) values and irrigation timing in the case of Derinkuyu dry bean ( Phaseolus vulgaris L.). In 2017, dry beans were grown as the main crop according to the field design consisting of plots divided into randomised blocks. Irrigation treatment comprised full irrigation (I100) and irrigation issues with three different levels of water stress (I66, I33, I0). This study applied 602 mm of water under the I100 irrigation. The yield of Derinkuyu dry beans was equal to 3576.6 kg∙ha –1 in I100 irrigation. The lower limit (LL) value, which is not necessary for the determination of CWSI , was obtained as the canopy–air temperature difference ( Tc – Ta ) versus the air vapour pressure deficit ( VPD ). The upper limit (UL) value, at which the dry beans were wholly exposed to water stress, was obtained at a constant temperature. The threshold CWSI value at which the grain yield of dry beans started to decrease was determined as 0.33 from the measurements made with an infrared thermometer before irrigation in I66 irrigation treatment. As a result, it can be suggested that irrigation should be applied when the CWSI value is 0.33 in dry beans. Furthermore, the correlation analysis revealed a negative correlation between grain yield and crop water stress index and a positive correlation between yield and chlorophyll content. According to variance analysis, significant relationships were found between the analysed parameters at p ≤ 0.01 and p ≤ 0.05.
Detection of bacterial pathogen on corn plants and test the potential of endophytic microbes to controlling stewart wilt disease in vitro

The use of synthetic pesticides to increase maize production sustainably contributes to increasing the development of pathogens and tends to be less effective in environmental conditions that support pathogens. In addition, the emergence of environmental pollution due to the use of chemicals causes the need for environmentally-friendly control technologies. Endophytic microbes are biological agents that can be used to plant disease control that is environmentally friendly and practical in their application. The study aimed to detect pathogenic bacteria that cause wilt and blight in maize and then examine the potential of several endophytic microbial isolates in controlling Stewart wilt pathogens in maize in vitro. The research was carried out from February to July 2021 at the Cereal Crop Research Institute Laboratory in Maros for morphological identification and microbial potential testing, while serological tests were carried out at the Makassar Plant Quarantine Laboratory, South Sulawesi. The study began with detecting pathogenic bacteria serologically using the Enzyme-Linked Immunosorbent Assay (ELISA) method. The results showed that blight symptoms on corn isolated from the experimental garden of IP2TP Bajeng Gowa Regency PS-4 and PS-5 were detected as bacteria Pantoea stewartii subsp. stewartii. The antagonistic test of endophytic bacterial isolates I.A1, II.D1, III.A2, IV.B2, and endophytic fungi isolates AC-1, AC-3, and DC-5 was able to suppress the growth of pathogenic bacteria isolates PS-4 and PS-5 The growth suppression of pathogenic bacteria was observed by forming inhibitory zones of antibiosis compounds. Pathogenic bacteria Pantoea stewartii subsp. stewartii can be controlled using endophytic microbes.
The Ethio-semitic languages (re-examining the classification)

Many scholars such as Hudson (2000b, 2000c) have addressed the issues, but to the best of my knowledge, there has been no complete work of classification that has integrated recent findings to-date. In this paper, attempt will be made to consider such findings, assumptions about the origin of Proto-Semitic and Proto-Afroasiatic, discussions on the internal relationship of some of the Gurage languages in particular and South Ethio-Semitic in general such as that of Leslau (1996), and my own primary data from native speakers of various Gurage languages. On the bases of these considerations, I will propose a classification for Ethio-Semitic and also show the general position of this language group with respect to other language groups of Semitic
Effects of Great Lakes Water Loading upon Glacial Isostatic Adjustment and Lake History

ABSTRACT Over the last century geological studies of the ancestral Great Lakes have confirmed that the large surface load of the Laurentide ice sheet deformed the region causing tilting of ancient lake shorelines. Models of this glacial isostatic adjustment mechanism have promoted understanding of this process but have only included ice sheet loads as the source of earth deformation in the region. We describe a method, utilizing a model of glacial isostatic adjustment combined with GIS, that recreates the paleohydrology of the Great Lakes. Predictions include the extent of late glacial, postglacial, and Holocene lakes and their associated outlets and bathymetries. This predicted history of the Great Lakes is similar to that obtained from a century of detailed field studies but our method uses only the present digital elevation model, a prescribed ice sheet chronology, and an assumed earth viscoelastic rheology. Ancient lake bathymetry predictions provide an estimate of water loads associated with each lake. The effect of these lake loads upon vertical deformation of the Great Lakes region is shown to be small, less than 15 m, but not insignificant when compared to approximately 150 m of deformation forced by ice and ocean loads. Maximum lake-induced deformation is centered upon Lake Superior where water depths were greatest. Where topography is low relief, prediction of shoreline locations should include the lake loading effect as well as the ice and ocean loads.
MiCE: An ANN-to-SNN Conversion Technique to Enable High Accuracy and Low Latency

Spiking Neural Networks (SNNs) mimic the behavior of biological neurons. Unlike traditional Artificial Neural Networks (ANNs) that operate in a continuous time domain and use activation functions to process information, SNNs operate discrete event-driven, where data is encoded and communicated through spikes or discrete events. This unique approach offers several advantages, such as efficient computation and lower power consumption, making SNNs particularly attractive for energy-constrained and neuromorphic applications. However, training SNNs poses significant challenges due to the discrete nature of spikes and the non-differentiable behavior they exhibit. As a result, converting pre-trained ANNs into SNNs has gained attention as a convenient approach. While this approach simplifies the training process, it introduces certain drawbacks, including high latency. The conversion of ANNs to SNNs typically leads to a loss of accuracy, which can be attributed to various factors, including quantization, clipping, and timing errors. Previous studies have proposed techniques to mitigate quantization and clipping errors during the conversion process. However, they do not consider timing errors, degrading SNN accuracies at low latency conditions. This work introduces the MiCE conversion method, which offers a comprehensive joint optimization strategy to simultaneously alleviate quantization, clipping, and timing errors. At a moderate latency of 8 time-steps, our converted ResNet-20 achieves classification accuracies of 79.02% and 95.74% on the CIFAR-100 and CIFAR-10 datasets, respectively.
Optimisation of Electrical Discharge Machining Processing for AZ91 Magnesium Alloy using Coupled AHP-Taguchi Analyses-GA Method with the Rank Selection Approach

Despite being contemporary, the wire electrical discharge machining (EDM) industry is burdened with complicated and challenging problems. However, the double optimisation method involving Taguchi analyses and genetic algorithms is a powerful tool to help tackle some of these problems. This article evaluates the wire EDM process through a rank-based genetic algorithm coupled with the AHP-Taguchi analyses using the AZ91 magnesium alloy for the first time in the literature. The rank selection method was used at the selection stage of the operations. Six parameters, namely pulse on time, pulse off time, wire feed, wire tension, pulse current and gap voltage, were the process parameters. For all the methods, the total values were computed and compared for the selection, cross-over and mutation operations. It was found that the total values at the selection stage for each of the methods, namely AHP-Taguchi-GA, AHP-Taguchi-Pareto-GA and AHP-Taguchi-ABC-GA methods, were 2750, 4176 and 6306 (best value as Part A), respectively. For all the methods, there was a 25.35% improvement in total value at the cross-over stage compared with the selection stage. The improvement in the total values of the mutation over cross-over and mutation over selection was 53.84% and 92.84%, respectively. These improvement values were for the AHP-Taguchi-GA method but also turned out to be the same for the AHP-Taguchi-Pareto-GA and AHP-Taguchi-ABC methods. The principal advantage of the rank selection method introduced in the present study is to avoid quick convergence. This article is beneficial to the process engineers aimed at improving the wire electrical discharge machining process.
Thermodynamic Properties of a Gas–Liquid–Solid System during the CO2 Geological Storage and Utilization Process: A Review

Emission reduction in the main greenhouse gas, CO2, can be achieved efficiently via CO2 geological storage and utilization (CCUS) methods such as the CO2 enhanced oil/water/gas recovery technique, which is considered to be an important strategic technology for the low-carbon development of China’s coal-based energy system. During the CCUS, the thermodynamic properties of the CO2–water–rock system, such as the interfacial tension (IFT) and wettability of the caprock, determine the injectability, sealing capacity, and safety of this scheme. Thus, researchers have been conducting laboratory experiments and modeling work on the interfacial tension between CO2 and the water/brine, wettability of caprocks, the solubility of gas–liquid binary systems, and the pH of CO2-saturated brine under reservoir temperature and pressure conditions. In this study, the literature related to the thermodynamic properties of the CO2–water–rock system is reviewed, and the main findings of previous studies are listed and discussed thoroughly. It is concluded that limited research is available on the pH of gas-saturated aqueous solutions under CO2 saline aquifer storage conditions, and less emphasis has been given to the wettability of the CO2–water/brine–rock system. Thus, further laboratory and modeling research on the wettability alternations of caprock in terms of molecular dynamics is required to simulate this phenomenon at the molecular level. Moreover, simplified IFT and solubility prediction models with thermodynamic significance and high integrity need to be developed. Furthermore, interaction mechanisms coupling with multi-factors associated with the gas–liquid–solid interface properties and the dissolution and acidification process need to be explored in future work.
Examining Innovation and Entrepreneurship in the Sports Sector

This study aimed to examine innovation and entrepreneurship in the sports sector. The study group of our research consisted of 151 participants including coaches, sports managers, sports experts and club managers. In the first part of the data collection process, the personal information form created by the researchers was used. In the second part, innovation and entrepreneurship scales created by Tekin, M. , Etlioğlu, M. , and Tekin, E. (2018) were used. The data obtained in our research were evaluated at a 0.05 significance level using SPSS.25. 00 package program at a 95% confidence interval. Descriptive statistics related to gender, age, specialization in the sports sector, graduation status, Professional experience, province of residence, and marital status were calculated. Skewness and kurtosis values were calculated to determine whether the data showed normality distribution. Statistically, t-test, Pearson correlation analysis, ANOVA analysis, percentage and reliability coefficient calculations, and frequency calculations were performed. As a result, while there was no statistically significant difference in the variables of gender, graduation status, province of residence, age, and Professional experience, a statistically significant difference was detected in the field of innovation and entrepreneurship in the sports sector according to the marital status, specialization in the sports sector, and the obtained general analysis results.Keywords: Entrepreneurship, Innovation, Sector, Sport
The influence of religiosity and self-efficacy on the saving behavior of the slamic banks

Indonesia is a country with the largest Muslim population in the world. However, since the Islamic banks were being established in Indonesia for about 20 years, their market share only accounts for about 5% in the Indonesian banking system. Muslim participations in using Islamic bank are relatively low. This study expands the Theory of Planned Behavior by adding the variables of religiosity and self-efficacy. Previous studies have not examined this new expanded model to analyze customers who participated in using the saving Islamic bank’s products and services. Based on 220 Islamic bank consumers who participated in the study, the study indicated that questionnaires about religiosity and self-efficacy had good external validity and could be adapted for the Indonesian culture context. The most interesting finding was that the religiosity variable strongly enhanced the use of Islamic banks. Similarly, this study found that the self-efficacy variable improved an intention of customers to participate in the Islamic banking system. This paper also discusses the implications of the findings and recommendations for future studies. Anton Priyo Nugroho (Indonesia), Anas Hidayat (Indonesia), Hadri Kusuma (Indonesia) BUSINESS PERSPECTIVES LLC “СPС “Business Perspectives” Hryhorii Skovoroda lane, 10, Sumy, 40022, Ukraine www.businessperspectives. org The influence of religiosity