bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of self-compassion on aggression and its psychological mechanism through perceived stress
Authors: Guan Fang , Zhan Chengqing , Li Shanyin , Tong Song , Peng Kaiping 
Published: November 2024

AbstractGiven the increasing global concerns about aggressive behaviors and the pressing need for effective psychological interventions, this study delves into the potential of a concept deeply rooted in positive and Buddhist psychology but largely researched in Western contexts, as a mitigating factor against aggression in Chinese adults. Through three core studies involving 652 participants (age: 30.52±8.16), our research illuminated the intricate relationship between self-compassion, perceived stress, and aggression. Study 1 identified a negative correlation among these variables, setting the empirical foundation. In Study 2, participants exposed to a self-compassion exercise reported enhanced self-compassion and reduced aggression. Study 3 further consolidated these findings, with participants in the self-compassion writing group, showing notable increases in self-compassion and decreases in aggression compared to a control group. Critically, perceived stress emerged as a significant mediator between self-compassion and aggression, elucidating its central role in this dynamic. Together, our findings underscore the promise of self-compassion as a strategy to curb aggression tendencies, especially in light of its influential relationship with perceived stress, suggesting vital implications for future mental health interventions.
A novel USP51 variant in a patient with autism spectrum disorder and epilepsy
Authors: Garg Ria , Pinard Amelie , Wallerstein Robert 
Published: November 2024

Abstract
Background
Autism spectrum disorder (ASD) is a highly heritable neurodevelopmental disorder characterized by impaired social communication and repetitive behaviours. The genetic basis of ASD is complex and involves both rare variants with large effect sizes and common variants with small effect sizes.

Case presentation
This case report describes a 19-year-old male with ASD, intellectual disability, absent speech, and epilepsy. Molecular testing revealed a novel maternally inherited variant in the USP51 gene, which encodes Ubiquitin Specific Peptidase 51, a deubiquitinating enzyme involved in the DNA damage response.

Conclusions
Based on current knowledge, the variant is predicted to result in a truncated protein and is considered a variant of uncertain significance (VUS). The USP51 gene has been implicated in neurodevelopment, and its role in the developing brain suggests its potential relevance to ASD. Further studies are needed to establish the association of USP51 variants with ASD and elucidate the full phenotypic spectrum associated with these variants.
Empirical Analysis of the Impact of Debt Servicing on the Performance of the Nigerian Economy
Authors: Okosu Napoleon David 
Published: November 2024

The study interrogates the impact of debt servicing on the performance of the Nigerian economy. Using yearly time series data from 1980 to 2022 obtained from Debt Management Office, Central Bank of Nigeria and the World Bank National Account. The dependent variable in the model was Growth Rate of Gross Domestic Product (GRGDP), and the explanatory variables were External Debt Service (EDS), Domestic Debt Service (DDS), Interest Rate (INR) and Exchange Rate (EXR). The methodology utilized was the popular Auto-Regressive Distributed Lag (ARDL) model. Findings reveal that in the long run, EDS has a positive though insignificant nexus to GRGDP. For DDS the relationship is a significant negative association with GRGDP. Whilst for Exchange Rate a positive and significant relationship was found. INR had a positive but insignificant nexus to GRGDP. Based on the findings the study recommended the review of Nigeria’s debt sustainability plan, imposition of strict limits on amount to borrow, type and the sources from where to borrow. Also, Nigeria government should ensure that debt or borrowings are channeled towards project that are self-liquidating and infrastructure development as well as minimize the use of huge debt to finance recurrent expenditures.
Percepción del consumidor hacia los productos agropecuarios en Nandayure, Guanacaste, Costa Rica
Authors: Sánchez Brenes Ronald , Arboleda Julio Esteban , Pérez Meza Raymond , Juárez Leandro Nazareth , Calvo Jiménez Krystel , Piedra Navarro Sergio 
Published: November 2024

One factor contributing to food and nutritional security is knowing consumers’ perceptions of agricultural products. This research aims to determine consumer perception to enhance the dynamics of short agricultural chains in Nandayure, Costa Rica. A survey was conducted among 300 consumers of agricultural products for the 2021-2022 period. The instrument was divided into three sections: demographic and socioeconomic aspects, purchasing behavior, and agricultural consumer products. Results show that among respondents, women purchase more than men, are between the ages of 21 and 40, and invest less than ₡20,000 a week. Shopping is done once a week at produce markets and supermarkets that must be organized and clean and offer information and different payment methods. The most important characteristics consumers prioritize in products are freshness, quality, and price. The main types of products consumed were fruits 38%, vegetables 23%, and medicinal and aromatic plants 18%. Understanding local marketing dynamics allows for the analysis or interpretation of short-chain models and consumer trends influencing the availability and acquisition of agricultural products. This could generate opportunities to develop market niches focused on high-quality products with added value and strategic alliances with public and private entities.
О ВОЗМОЖНОМ ВЛИЯНИИ ПОР И ДРУГИХ СТРУКТУРНЫХ ДЕФЕКТОВ НА ТЕМПЕРАТУРУ ПОЛИМОРФНОГО ПРЕВРАЩЕНИЯ ОКТОГЕНА
Authors: А.М. ЗЛОБИН , П.С. БЕЛУХИНА , С.В. БОНДАРЕВА , С.А. ВАХМИСТРОВ , С.Э. ГРЕБЕННИКОВА , Т.Е. КИРСАНОВА , Н.А. МИРОШНИЧЕНКО , А.В. СКВИРСКАЯ , А.А. СТАРОСТИНА , Ю.В. ШЕЙКОВ 
Published: November 2024

Представлены результаты экспериментальных исследований полиморфного превращения β→ δ различных фракций октогена, проведенных методами дифференциального термического и термогравиметрического анализа, а также пикнометрическим методом измерения плотности. При увеличении размеров кристаллов обнаружено снижение температуры начала полиморфного превращения октогена, а также уменьшение его плотности. Выдвинута гипотеза о том, что изменение температуры полиморфного превращения связано с зависимостью скачка энтальпии на полиморфном переходе от структурных дефектов.
Results of experimental investigations of the polymorphic transformation β → δ of various fractions of HMX are reported; the studies are performed by methods of differential thermal and thermogravimetric analysis, as well as by picnometer tests. With an increase in the crystal size, it is found that the temperature of the beginning of the polymorphic transformation of HMX decreases, and the HMX density also decreases. It is hypothesized that the change in the polymorphic transformation temperature is associated with the dependence of the enthalpy jump on the polymorphic transformation on structural defects.
How Many Trauma Admissions Require Acute Trauma Team Interventions?
Authors: Bitter Bradon , Terry Amy , Helmer Stephen , Quinn Karson , Haan James M 
Published: November 2024

Introduction. The purpose of this study was to determine the percentage of trauma patients who have been admitted and received intervention and, of these, which were performed by non-trauma specialists.
Methods. A retrospective chart review was performed on all adult patients presenting through the trauma service between January 2019 and June 2019. The information collected included: demographics, trauma activation level, total interventions performed, interventions by the trauma team, interventions by the subspecialty teams, and isolated injuries (orthopedic, neurosurgery, and other).
Results. A total of 287 patients were reviewed. One hundred eleven of these patients (38.7%) underwent operative intervention. Seventy-five patients (26.1%) underwent operative intervention by the orthopedic surgery team. Sixteen patients (5.6%) underwent operative intervention by the neurosurgery team. Fourteen patients (4.9%) underwent operative intervention by other subspecialties. Only 6 patients (2.1%) underwent operative intervention by the trauma team.
Conclusions. The collected data suggests that less than half of the patient population underwent intervention by a surgical team. This data demonstrates the need to re-evaluate admission criteria for trauma patients.
Enhancing water security through advanced modeling: integrating deep learning and a novel metaheuristic optimization algorithm for accurate pan evaporation prediction
Authors: Zerouali Bilel , Bailek Nadjem , Bouchouich Kada , Mawloud Guermoui , Kuriqi Alban , Sami Khafaga Doaa , Alharbi Amal H. , El-kenawy El-Sayed M. 
Published: November 2024

ABSTRACT
This study evaluates and enhances machine learning models for predicting pan evaporation under diverse climatic conditions. Five fundamental machine learning models were employed and tested across four different stations. Subsequent comparisons were made with advanced techniques, including long short-term memory (LSTM) networks. An innovative approach was introduced, combining LSTM with Binary Al-Biruni Earth Radius (BER–LSTM). This hybrid method was benchmarked against other optimization techniques. The BER–LSTM model consistently outperformed other models across all stations and time scales, achieving up to a 97.54% improvement in root mean square error (RMSE) compared to standard LSTM on daily time scales. Compared to simpler models like Multilayer Perceptron and Support Vector Regressor, BER–LSTM showed even more substantial improvements, with up to a 99.03% reduction in RMSE. The BER–LSTM model demonstrates superior predictive capabilities for pan evaporation across varied climatic conditions, offering significant improvements over both traditional and advanced machine learning techniques. This approach shows promise for enhancing evaporation forecasting in diverse environmental contexts.
A comparative analysis of deep-learning models for dam discharge forecasting for disaster management
Authors: Nisha C. M. , Thangarasu N. 
Published: November 2024

ABSTRACT

This paper represents a comprehensive study of dam water discharge prediction using various deep-learning models. The main aim of this paper is to provide a data-driven solution for effective water resource management and thereby controlling the effects of floods and droughts. The Malampuzha dam, which has a spillway, a right bank canal (RBC), and a left bank canal (LBC), is considered for the study. While the spillway helps to control the water level in the reservoir by allowing extra water to flow downstream during times of severe rainfall or high inflow, hence reducing the risk of floods, the LBC and RBC are intended to divert water for agriculture. Altogether, 10 years of consecutive meteorological and dam-related data are utilized for training and testing the models in forecasting water discharge through LBC, RBC, and the spillway. Different deep-learning models, namely, long short-term memory, bi-directional long-short term memory, recurrent neural network, gated recurrent unit, one-dimensional convolutional neural network (1D-CNN), deep neural network, autoencoder, and residual networks are explored in predicting the accuracy of dam water discharge. After testing eight deep-learning models, it was discovered that 1D-CNN performed well in predicting the discharge of water.
PANORAMA DA EVASÃO NOS CURSOS DE LICENCIATURA DO IFRN (2006-2021) E OS IMPACTOS DO CONTEXTO PANDÊMICO DE COVID-19
Authors: Nascimento Francinaide de Lima Silva , Lima Neilson Ferreira de , Batista Wilton da Silva 
Published: November 2024

O artigo apresenta um panorama do fenômeno da Evasão nos Cursos Superiores de Licenciatura do IFRN, entre 2006 e 2021. O objetivo foi investigar a evolução temporal dos indicadores de matrícula, evasão, retenção, reprovação e conclusão a fim de compreender os Índices de Permanência e Êxito, Efetividade Acadêmica e Taxa de Saída com Êxito. A pesquisa é de cunho exploratório, qualitativa e quantitativa aos dados públicos obtidos no Sistema Unificado de Administração Pública e na Plataforma Nilo Peçanha. As análises ocorreram à luz do Plano Estratégico para Permanência e Êxito dos estudantes do IFRN. Definiu-se evasão enquanto interrupção da matrícula do estudante no ciclo do curso. Constatou-se que o Índice de Permanência e Êxito aumentou, inclusive no ano de 2021 registrou-se um percentual de 77,85%, apesar da pandemia. Este indicador repercutiu positivamente na Taxa de Evasão, que teve uma queda significativa de 81,9% entre os anos de 2012 e 2021.
Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users
Authors: Kang Boyoung , Hong Munpyo 
Published: November 2024

Background
Mental health chatbots have emerged as a promising tool for providing accessible and convenient support to individuals in need. Building on our previous research on digital interventions for loneliness and depression among Korean college students, this study addresses the limitations identified and explores more advanced artificial intelligence–driven solutions.

Objective
This study aimed to develop and evaluate the performance of HoMemeTown Dr. CareSam, an advanced cross-lingual chatbot using ChatGPT 4.0 (OpenAI) to provide seamless support in both English and Korean contexts. The chatbot was designed to address the need for more personalized and culturally sensitive mental health support identified in our previous work while providing an accessible and user-friendly interface for Korean young adults.

Methods
We conducted a mixed methods pilot study with 20 Korean young adults aged 18 to 27 (mean 23.3, SD 1.96) years. The HoMemeTown Dr CareSam chatbot was developed using the GPT application programming interface, incorporating features such as a gratitude journal and risk detection. User satisfaction and chatbot performance were evaluated using quantitative surveys and qualitative feedback, with triangulation used to ensure the validity and robustness of findings through cross-verification of data sources. Comparative analyses were conducted with other large language models chatbots and existing digital therapy tools (Woebot [Woebot Health Inc] and Happify [Twill Inc]).

Results
Users generally expressed positive views towards the chatbot, with positivity and support receiving the highest score on a 10-point scale (mean 9.0, SD 1.2), followed by empathy (mean 8.7, SD 1.6) and active listening (mean 8.0, SD 1.8). However, areas for improvement were noted in professionalism (mean 7.0, SD 2.0), complexity of content (mean 7.4, SD 2.0), and personalization (mean 7.4, SD 2.4). The chatbot demonstrated statistically significant performance differences compared with other large language models chatbots (F=3.27; P=.047), with more pronounced differences compared with Woebot and Happify (F=12.94; P<.001). Qualitative feedback highlighted the chatbot’s strengths in providing empathetic responses and a user-friendly interface, while areas for improvement included response speed and the naturalness of Korean language responses.

Conclusions
The HoMemeTown Dr CareSam chatbot shows potential as a cross-lingual mental health support tool, achieving high user satisfaction and demonstrating comparative advantages over existing digital interventions. However, the study’s limited sample size and short-term nature necessitate further research. Future studies should include larger-scale clinical trials, enhanced risk detection features, and integration with existing health care systems to fully realize its potential in supporting mental well-being across different linguistic and cultural contexts.
COMPONENTS OF METABOLIC SYNDROME AS A RISK FACTOR FOR COVID-19 IN INDIA
Authors: GUNJAN KUMAR MANDAL  
Published: November 2024

Objective: Several patients with components of metabolic syndrome (MetS) like obesity, hypertension, diabetes mellitus and dyslipidemia is a risk factor for COVID-19 in India. Aims of our review to bring together current data about components of metabolic syndrome & COVID 19 infection. It specially looks the relation between components of MetS (Obesity, Diabetes mellitus, Hypertension and dyslipidemia) and COVID 19. At the time of writing the review is updated till time.
Methods: Search of literature was done by using google search & PubMed engines for prepare review related to my article.
Results: Patients with components of metabolic syndrome like obesity, diabetes, hypertension and dyslipidemia have increased evidence of incidence and severity of COVID-19. COVID-19 has effect on the pathophysiology of all these components of metabolic syndrome. The control of all these components of metabolic syndrome is important not only for patients who are infected with COVID-19, but also for those without the disease.
Conclusions: It is commonly known that the existence of comorbidities such as increase in BMI, dyslipidemia, diabetes mellitus and hypertension is associated with additional severe course of COVID-19. So measurement of components of metabolic syndrome parameters is essential to better estimate the risk of COVID-19 and management and control of these components (BMI, blood glucose, blood pressure, lipid profile) of metabolic syndrome parameters will cause less possibility to occur COVID-19.
Economic Sociology and Management in the spectrum of modern managerial and economic ideas
Authors: Barkov S. A. , Markeeva A. V. , Oseev A. A. 
Published: November 2024

The article is devoted to the radical transformation of the structure of knowledge in modern economic sociology and managerial theory, to the transition from slender hierarchies of ideas (the top of which consists of a small number of axioms, and the base of which consists of multiple specific recommendations) to the postmodern market of concepts. The authors made a comparative analysis of such transformation in economic sociology and managerial theory, revealed general regularities and specific factors that determined the difference between the scientific fields of these science. The latter include: 1) subjects conducting scientific research (in managerial theory, along with scientists, managers, consultants, people somehow connected with business were engaged in such practice), 2) a terminology of sciences (in managerial theory, a specific language for communication between managers and employees was actively created), 3) the use of marketing and PR-technologies to promote ideas. The totality of these factors determined a special “landscape” of the subject areas of economic sociology and managerial theory.The article concludes that despite the existing problems caused by multiparadigmality, the emerging “flexible” format of socio-humanitarian knowledge opens new opportunities for creativity in rapid changes of social reality, obsolescence of classical approaches to its cognition, as well as the realization of the variety of phenomena and processes in the field of economics and management.In such situation, each scientific team should choose its own special place in the exhibition of ideas, create its own “exhibits” attractive to the scientific community and the general public. Among the variety of topical and demanded research directions, the article identifies three key thematic blocks reflecting the scientific priorities of the Department of Economic Sociology and Management of Moscow University: 1) institutional changes and institutional context of socio-economic and managerial processes, 2) aging population and digitalization as key factors of economic and management transformation, 3) socio-economic processes and phenomena in the mirror of digital communication.
Social communication in modern society: experience of empirical research
Authors: Elishev S. O. , Dortseva E. V. 
Published: November 2024

This article was prepared by a team of authors of the sociological faculty of Moscow State University named after M.V. Lomonosov as part of a series of events dedicated to the 270th anniversary of Moscow University. The article was based on the processed and analyzed data of the sociological study “Social Communication in Modern Society: Essence and Features”, conducted by employees of the Sociological Faculty of Moscow State University named after M.V. Lomonosov under the guidance of the Dean of the Sociological Faculty of Moscow State University, Professor N.G. Osipova in April–May 2024. As part of the study, a total of 401 students of the sociological faculty of Moscow State University named after M.V. Lomonosov. Particular emphasis in the study was placed on the study of the features of the understanding by students of the sociological faculty of the very fact of the transition of mankind in its development to a new stage for it — the electronic-digital era, as well as the features of social communication and the opportunities that they acquired, thanks to the onset of this era. The study revealed a generally positive attitude of students to the process of the formation of an electronic-digital society, the active introduction of digital technologies into the daily life of a modern person, without which young people can no longer imagine their existence. At the same time, their active immersion in virtual reality, which is provided and actually created by new media, especially social networks and instant messengers, naturally led to the emergence of Internet addiction, gadget addiction, as well as to uncritical comprehension of the information that they receive from these sources. Naturally, this has a very negative effect on the formation of their life attitudes, landmarks, which are largely consumer in nature, and also makes them a very convenient object for destructive propaganda and manipulative influence.
Sonographic Detection of Iatrogenic Carotid Artery Guidewires During Internal Jugular Vein Catheterization
Authors: Moak James , Swann Kristen , Kongkatong Matthew , Ottenhoff Jakob , Thom Christopher 
Published: November 2024

Background: Visualization of the guidewire during internal jugular (IJ) vein catheterization by point of care ultrasound (POCUS) has been recommended for avoiding inadvertent carotid artery dilation. The purpose of this study was to determine the accuracy of POCUS for identifying guidewires inappropriately placed in the carotid artery. Methods: This prospective, observational study involved emergency medicine (EM) residents with varying experience in guidewire visualization. Using an inanimate model, investigators placed guidewires randomly into the carotid artery or IJ vein. Residents, blinded to guidewire location, scanned the model and recorded their findings. The test performance of POCUS for arterially placed guidewires was evaluated through calculation of sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and overall accuracy, using investigator placement as the non-reference standard. Results: Twenty-five residents performed 51 observations. The test performance of POCUS for identifying arterially placed guidewires was sensitivity 95.0% (95%CI = 73.1-99.7%), specificity 96.8% (95%CI = 81.5-99.8%), NPV 96.8% (95%CI = 81.5-99.8%), and PPV 95.0% (95%CI = 73.1-99.7%). The overall accuracy was 96.1% (95%CI = 86.8-98.9%). Residents reported being very confident in their findings in 88.2% of all observations (95%CI = 76.6-94.5%), somewhat confident in 9.8% (95%CI = 4.3-21.0%), and not very confident in 2.0% (95%CI = 0.4-10.3%). No errors occurred among upper-level residents (post-graduate years 2-3) or those reporting >5 prior wire visualizations in live patients. Conclusions: This study is the first to demonstrate that physicians can easily identify misplaced guidewires located in the carotid artery with a high degree of accuracy using POCUS. We recommend routine scanning of the IJ vein and carotid artery prior to vessel dilation to reduce the likelihood of carotid artery injury.