bluuebunny/crossref_metadata_2025 huggingface dataset:
Strategies of Public University Building Maintenance—A Literature Survey
Authors: Grącki Jakub , Plebankiewicz Edyta
Published: May 2024

In this article, comprehensive insights into the field of building maintenance, emphasizing the importance of keywords, collaborative efforts among authors, and the evolving research landscape, are provided. The use stage, as the longest phase in a building’s life cycle, involves economic, technical, and social activities. Numerous authors have contributed to the broader topic of building maintenance, covering aspects such as maintenance prioritization, improvement actions, decision-making guidelines, factors affecting success, cost estimation models, and BIM usage in maintenance. The study conducts a thorough literature review using Scopus as a search engine, employing the full-counting method for authorship, and uses VOSviewer 1.6.20 software for bibliometric analysis to identify gaps and outline future research directions. The results reveal distinct data sets focusing on building maintenance from general to specific, with each set reflecting unique aspects and considerations. Bibliometric maps illustrate author collaboration and keyword connections within each set, highlighting evolving research trends and areas of focus. Overall, the analysis highlights the importance of prioritizing maintenance, integrating technology, and fostering collaboration to enhance building maintenance in educational institutions. The study concludes with recommendations for future research, emphasizing the ongoing need for exploration and development in building maintenance, especially on maintenance strategies and Life Cycle Costs of university buildings.
A Multi-Information Fusion Method for Repetitive Tunnel Disease Detection
Authors: Gan Zhiyuan , Teng Li , Chang Ying , Feng Xinyang , Gao Mengnan , Gao Xinwen
Published: May 2024

Existing tunnel defect detection methods often lack repeated inspections, limiting longitudinal analysis of defects. To address this, we propose a multi-information fusion approach for continuous defect monitoring. Initially, we utilized the You Only Look Once version 7 (Yolov7) network to identify defects in tunnel lining videos. Subsequently, defect localization is achieved with Super Visual Odometer (SuperVO) algorithm. Lastly, the SuperPoint–SuperGlue Matching Network (SpSg Network) is employed to analyze similarities among defect images. Combining the above information, the repeatability detection of the disease is realized. SuperVO was tested in tunnels of 159 m and 260 m, showcasing enhanced localization accuracy compared to traditional visual odometry methods, with errors measuring below 0.3 m on average and 0.8 m at maximum. The SpSg Network surpassed the depth-feature-based Siamese Network in image matching, achieving a precision of 96.61%, recall of 93.44%, and F1 score of 95%. These findings validate the effectiveness of this approach in the repetitive detection and monitoring of tunnel defects.
The Impact of Corporate Social Responsibility on Labor Investment Efficiency: Evidence from China
Authors: Yuan Zhizhu , Yu Junze , Yin Yue
Published: May 2024

This study examines the impact of corporate social responsibility (CSR) on labor investment efficiency utilizing a sample of China’s listed companies. The empirical results demonstrate that CSR improves labor investment efficiency, and the effect is significant in terms of both overinvestment and underinvestment. Findings from cross-sectional tests indicate that CSR has a more significant effect on labor investment efficiency in non-state-owned firms and firms with more financing constraints or higher labor adjustment costs. The conclusion is robust after utilizing a 2SLS regression, replacing indicators for labor investment efficiency and accounting for the impact of non-labor investment. In general, the results support stakeholder theory and confirm that CSR can enhance external monitoring and improve firms’ investment behavior.
Application of Cotton Stalk as an Adsorbent for Copper(II) Ions in Sustainable Wastewater Treatment
Authors: Beleño Cabarcas Mary Triny , Torres Ramos Ricardo , Valdez Salas Benjamín , González Mendoza Daniel , Mendoza Gómez Aurelia , Curiel Álvarez Mario Alberto , Castillo Sáenz Jonathan Rafael
Published: May 2024

The capacity of untreated cotton stalk to remove and adsorb Cu2+ ions in synthetic and natural aqueous solutions was evaluated. The influence of three sensitive parameters of the adsorption process—solution pH, adsorbent dosage, and contact time—on the percentage of Cu2+ removal in agricultural wastewater, livestock wastewater, and synthetic samples was studied. Physicochemical and morphological properties were studied using thermogravimetry, Fourier infrared spectrophotometry, and scanning electron microscopy. The elemental composition, proximal composition, zero charge point, and acid–base sites were determined. In addition, kinetic studies were performed, and the adsorption equilibrium was analyzed. The optimum conditions for Cu2+ adsorption were the following: solution pH = 5.5, adsorbent dosage of 0.6 g, and contact time of 60 min. Under these conditions, the percentage of Cu2+ removal in synthetic samples was 66.5% when the initial copper concentration was 50 mg/L. The removal percentage in agricultural and livestock wastewater samples was 87.60% and 85.05%, respectively, when the initial copper concentration was 25 mg/L. The adsorption data are consistent with the Freundlich isotherm model, which achieved a quadratic fit of 0.991 compared to 0.5542 for the Langmuir model. The experimental results indicate that the adsorption adequately fits the pseudo-second-order kinetic model. The results suggest that cotton stalks are a promising adsorbent for the ecological and economical removal of Cu2+ in wastewater. This research, therefore, provides relevant information that contributes to the sustainable management of agricultural waste and instills hope for a reduction in water pollution from heavy metals derived from agricultural activities.
Green Investor Holdings and Corporate Green Technological Innovation
Authors: Zhang Lin , Xie Yamin , Xu Dingjie
Published: May 2024

This study builds upon existing research on institutional investors and corporate green innovation by distinguishing green investors, who prioritize environmental contribution, from general institutional investors. Drawing on the stakeholder theory and the Porter hypothesis, we hypothesize that the shareholdings of green investors can effectively stimulate corporate enthusiasm for green innovation, with state ownership exerting a positive moderating influence. Utilizing panel data from China’s A-share listed manufacturing firms spanning from 2010 to 2019, we employ a fixed effect regression model to test these hypotheses. Our empirical findings confirm our expectations, demonstrating that green investors’ shareholdings indeed foster corporate green innovation. Moreover, we observe that this positive relationship is amplified within state-owned enterprises, indicating the presence of a robust and stable environmental regulatory framework across the market. Additionally, our results support the Porter hypothesis, suggesting that adherence to environmental regulations can coexist with firm performance rather than being mutually exclusive. This study contributes to the literature on green investors and corporate green innovation, providing valuable insights for the development of China’s green financial system and sustainable development strategies.
Assessing the Benefits of Electrification for the Mackinac Island Ferry from an Environmental and Economic Perspective
Authors: Gopujkar Siddharth , Worm Jeremy
Published: May 2024

Ferry electrification has gained attention in the last decade as a potential path to reduce greenhouse gas emissions. This study, conducted by APS LABS at Michigan Technological University for the Mackinac Economic Alliance (MEA) and funded by the Michigan Economic Development Corporation (MEDC), looked at the feasibility and potential benefits of electrification of a particular vessel that is part of a ferry service from Mackinaw City, Michigan, USA, to Mackinac Island, Michigan, USA. The study included a comprehensive analysis of the feasibility of retrofitting the current configuration of the ferry into an all-electric ferry based on the availability of components in today’s market. A life-cycle assessment was conducted to compare the emissions between the baseline ferry rebuilt with new internal combustion engines and an all-electric ferry to understand the potential environmental benefits of ferry electrification and find the most sustainable solution for propulsion. The final prong of the three-pronged approach to this project consisted of estimating the difference in expenditures and profits for a rebuilt internal combustion (IC) engine versus electric configurations for a company operating the ferry. The analysis indicated that in the current scenario, electrification of the Mackinac Island ferry is not beneficial, and replacing the ferry’s current diesel engines with modern diesel engines is the preferred solution.
Environmental Management Framework for Road Network Demolition Wastes for Construction Industry of Pakistan
Authors: Shuker Ullah Sajjad , Hassan Ishtiaq , Gardezi Syed Shujaa Safdar
Published: May 2024

Demolition waste from construction industry, especially from road networks, is one of the most voluminous and harmful categories of waste worldwide; therefore, its proper handling is essential for sustainable waste management for environmental, social, and economic benefits. Prolific and unregulated construction activities, conflicts, and defective works are major reasons. The current work aims to address the issue by presenting a framework for an enhanced understanding of sustainable demolition waste management (DWM). A critical analysis of the literature aided to identify major concerns related to different causes, their impacts, and challenges being faced by the construction industry in such management endeavors. The study adopted questionnaire-based methodology to understand the critical relation among the three variables. The Delphi technique supported by industry professionals and pilot study helped to formulate a realistic questionnaire tool. Using the concept of multivariate statistical analysis, structure equation modeling (SEM) helped to assess the structural relationships between the three variables. The research instrument met the reliability, validity and internal consistency criteria required. Each variable achieved a high effect size, f2, with a value of co-efficient of determination of more than the threshold value of 70%. Thus, this supported the fitness criterion of the SEM-based measurement model. Path coefficients yielded the acceptance of all alternate hypotheses, resulting in a strong positive relationship among the three constructs. Therefore, demolition waste impacts are deemed as an effective mediator when explaining the impact between the other two variables. The developed framework presents a coherent and systematic approach and identifies strategies that could be used to address these issues and lead to DWM, including options available for capacity building and implementation and evaluation for supporting sustainability.
Geomechanical Response Characteristics of Different Sedimentary Hydrodynamic Cycles—Exampled by Xujiahe Formation of Upper Triassic, Western Sichuan Basin
Authors: Ren Qiqiang , Li Lifei , Cai Laixing , Feng Jianwei , Li Mengping , Wang Xingjian
Published: May 2024

This study delves into the geomechanical responses of different sedimentary hydrodynamic cycles in deep tight sandstone formations. Employing core observation and thin section analysis, we quantitatively identified and characterized bedding planes, sedimentary microfacies, and tectonic fractures. Then, the intricate relationships between various architectural interfaces and geomechanical parameters were elucidated. Subsequently, utilizing finite element numerical simulation software, in situ stress and fracture parameters were derived. By identifying a fracture facies zone correlated with the sedimentary hydrodynamic cycle and production data, our findings unveil several key insights: (1) Geomechanical parameters (Young’s modulus, Poisson’s ratio, brittleness index) exhibited noteworthy variations within the T3x2−5 sand group, indicative of weak elasticity and robust plasticity. (2) The effective distance, influenced by diverse reservoir architecture interfaces, displayed variability, with each transition between peak-valley-peak or valley-peak-valley pinpointed as a distinct sedimentary hydrodynamic cycle. (3) In environments characterized by strong sedimentary hydrodynamics (between two level 3 architecture interfaces), fractures with larger strike angles and lower dip angles were observed to be more prevalent. (4) Three significant fracture faces—level I, level II, and level III—were discerned within the study area. Notably, reservoirs associated with level III exhibited characteristics suggestive of medium porosity and permeability, indicative of a gas layer. By thoroughly understanding the geomechanical response characteristics of formations such as the Xujiahe Formation, it is possible to guide the exploration and development of energy resources such as oil and natural gas. This helps to improve the efficiency and safety of resource extraction, promoting the sustainable utilization of energy.
Understanding Tsunami Evacuation via a Social Force Model While Considering Stress Levels Using Agent-Based Modelling
Authors: Flores Constanza , Lee Han Soo , Mas Erick
Published: May 2024

Given massive events, such as demonstrations in coastal cities exposed to tsunamigenic earthquakes, it is essential to explore pedestrian motion methods to help at-risk coastal communities and stakeholders understand the current issues they face to enhance disaster preparedness. This research targets SDG 11 Sustainable Cities and Communities. It strengthens resilience in coastal areas by implementing a social force model using a microscopic agent-based model to assess the impact of human behaviour on evacuation performance by introducing evacuation stress levels due to a tsunami triggered in central Chile. Two scenarios with two environments and three crowd sizes are implemented in NetLogo. In Scenario 1, pedestrians walk at a relaxed velocity. In Scenario 2, tsunami evacuation stress is incorporated, resulting in pedestrians walking at a running velocity, taking, on average, four times less time to evacuate. We explored more realistic settings by considering the internal susceptibility of each agent to spread tsunami evacuation stress among other evacuees. Results from Scenario 2 show that internal susceptibility effects almost double the mean evacuation time for 200 agents. Findings suggest a trade-off between realism and the minimization of evacuation time. This research is considered a first step toward including stress in tsunami evacuations for sustainable evacuation planning.
Enhancing Organizational Resilience: The Transformative Influence of Strategic Human Resource Management Practices and Organizational Culture
Authors: Georgescu Iulian , Bocean Claudiu George , Vărzaru Anca Antoaneta , Rotea Cristina Claudia , Mangra Mădălina Giorgiana , Mangra Gabriel Ioan
Published: May 2024

In an era characterized by rapid changes and uncertainty, organizational resilience emerges as a critical factor for the survival and prosperity of businesses. Confronted with a progressively volatile and unpredictable organizational landscape, an organization’s capacity to swiftly and effectively address challenges and adapt to changes becomes indispensable. This paper investigates the role of strategic human resource management (SHRM) practices and organizational culture (OC) in enhancing organizational resilience (OR). The research employed a questionnaire distributed to 501 employees within public institutions, with data analysis conducted using structural equation modeling. The study assesses the direct effects of SHRM practices on organizational resilience while also investigating the mediating effects of organizational culture on the relationship between these practices and resilience. The primary findings highlight both the direct and indirect impacts of SHRM practices on organizational resilience. The study underscores the importance of adopting an integrated approach, wherein SHRM practices and organizational culture are strategically aligned to bolster organizational resilience and secure sustainable success in a dynamic and turbulent organizational landscape.
The Nexus between Green Finance and Carbon Emissions: Evidence from Maturity Mismatch in China
Authors: Liu Xiuli , Cui Jing , Wu Yanrui , Yue Xiaohang , Shen Jun , Guo Pibin
Published: May 2024

Green finance has been widely acknowledged as a pivotal instrument for mitigating carbon emissions. However, few studies have focused on the role of maturity mismatches in promoting carbon emission reduction through green finance. This study aims to develop a composite criterion for green finance and examine the mechanism of how green finance affects carbon emissions via the new perspective of maturity mismatch. It is accomplished by applying a two-way fixed effects model which incorporates provincial data spanning from 2010 to 2020. The empirical evidence suggests green finance plays a significant role in carbon emission reduction, a result that remains robust even after undergoing other tests such as using instrumental variables and alternating econometric models. Furthermore, this effect is particularly pronounced in regions with high degrees of green finance and low energy consumption. Mechanism analysis documents that green finance reduces carbon emissions by addressing maturity mismatch issues faced by green enterprises. Further research finds that green finance can promote the synergy of pollution and carbon reduction; in particular, the effect of maturity mismatch on SO2 reduction is more obvious. Consequently, this study offers practical recommendations for governments, financial institutions, and other relevant policymakers to further propel the advancement of green finance.
Short-Term Electrical Load Forecasting Using an Enhanced Extreme Learning Machine Based on the Improved Dwarf Mongoose Optimization Algorithm
Authors: Wang Haocheng , Zhang Yu , Mu Lixin
Published: May 2024

Accurate short-term electrical load forecasting is crucial for the stable operation of power systems. Given the nonlinear, periodic, and rapidly changing characteristics of short-term power load forecasts, this paper introduces a novel forecasting method employing an Extreme Learning Machine (ELM) enhanced by an improved Dwarf Mongoose Optimization Algorithm (Local escape Dwarf Mongoose Optimization Algorithm, LDMOA). This method addresses the significant prediction errors of conventional ELM models and enhances prediction accuracy. The enhancements to the Dwarf Mongoose Optimization Algorithm include three key modifications: initially, a dynamic backward learning strategy is integrated at the early stages of the algorithm to augment its global search capabilities. Subsequently, a cosine algorithm is employed to locate new food sources, thereby expanding the search scope and avoiding local optima. Lastly, a “madness factor” is added when identifying new sleeping burrows to further widen the search area and effectively circumvent local optima. Comparative analyses using benchmark functions demonstrate the improved algorithm’s superior convergence and stability. In this study, the LDMOA algorithm optimizes the weights and thresholds of the ELM to establish the LDMOA-ELM prediction model. Experimental forecasts utilizing data from China’s 2016 “The Electrician Mathematical Contest in Modeling” demonstrate that the LDMOA-ELM model significantly outperforms the original ELM model in terms of prediction error and accuracy.
Statistical Mechanics Approaches for Studying Temperature and Rate Effects in Multistable Systems
Authors: Cannizzo Andrea , Giordano Stefano
Published: May 2024

Systems with a multistable energy landscape are widespread in physics, biophysics, technology, and materials science. They are strongly influenced by thermal fluctuations and external mechanical actions that can be applied at different rates, moving the system from equilibrium to non-equilibrium regimes. In this paper, we focus on a simple system involving a single breaking phenomenon to describe the various theoretical approaches used to study these problems. To begin with, we propose the exact solution at thermodynamic equilibrium based on the calculation of the partition function without approximations. We then introduce the technique of spin variables, which is able to simplify the treatment even for systems with a large number of coordinates. We then analyze the energy balance of the system to better understand its underlying physics. Finally, we introduce a technique based on transition state theory useful for studying the non-equilibrium dynamical regimes of these systems. This method is appropriate for the evaluation of rate effects and hysteresis loops. These approaches are developed for both the Helmholtz ensemble (prescribed extension) and the Gibbs ensemble (applied force) of statistical mechanics. The symmetry and duality of these two ensembles is discussed in depth. While these techniques are used here for a simple system with theoretical purposes, they can be applied to complex systems of interest for several physical, biophysical, and technological applications.
Progress in Digital Climate Governance in China: Statistical Measurement, Regional Differences, and Dynamic Evolution
Authors: Wen Huwei , Hu Keyu , Zhou Fengxiu
Published: May 2024

The capacity for climate governance is crucial for sustainable advancement, with data elements being a pivotal production factor in contemporary governance. This study examines the trajectory and strategy of digital transformation in climate governance, creating a three-dimensional dataset encapsulating 11 primary and 36 secondary indicators to facilitate the assessment of digital climate governance. Employing spatiotemporal analysis and coupling coordination models, this study evaluates the digitalization levels in climate governance across 30 regions in China, examining how to progress digital integration from governmental and market perspectives. Findings reveal a consistent improvement in China’s regional digital climate governance, bolstering economic and social progress. Nonetheless, regional disparities and developmental lags persist, with convergence analysis indicating a divergence trend in provincial climate governance capabilities. Moreover, kernel density and Markov chain analyses suggest an ongoing evolution in regional digital climate governance efforts, aiming at achieving a higher development plateau. The study emphasizes the dual role of government and market dynamics in boosting digital governance levels, deducing from two-stage regression that effective government-market interplay is vital for elevating governance quality and fostering new productive forces, recommending an integrated governance mechanism for optimal synergy.
Analysis, Evaluation, and Future Directions on Multimodal Deception Detection
Authors: D’Ulizia Arianna , D’Andrea Alessia , Grifoni Patrizia , Ferri Fernando
Published: May 2024

Multimodal deception detection has received increasing attention from the scientific community in recent years, mainly due to growing ethical and security issues, as well as the growing use of digital media. A great number of deception detection methods have been proposed in several domains, such as political elections, security contexts, and job interviews. However, a systematic analysis of the current situation and the evaluation and future directions of deception detection based on cues coming from multiple modalities seems to be lacking. This paper, starting from a description of methods and metrics used for the analysis and evaluation of multimodal deception detection on video, provides a vision of future directions in this field. For the analysis, the PRISMA recommendations are followed, which allow the collection and synthesis of all the available research on the topic and the extraction of information on the multimodal features, the fusion methods, the classification approaches, the evaluation datasets, and metrics. The results of this analysis contribute to the assessment of the state of the art and the evaluation of evidence on important research questions in multimodal deceptive deception. Moreover, they provide guidance on future research in the field.
A Comprehensive Survey on the Investigation of Machine-Learning-Powered Augmented Reality Applications in Education
Authors: Khan Haseeb Ali , Jamil Sonain , Piran Md. Jalil , Kwon Oh-Jin , Lee Jong-Weon
Published: May 2024

Machine learning (ML) is enabling augmented reality (AR) to gain popularity in various fields, including gaming, entertainment, healthcare, and education. ML enhances AR applications in education by providing accurate visualizations of objects. For AR systems, ML algorithms facilitate the recognition of objects and gestures from kindergarten through university. The purpose of this survey is to provide an overview of various ways in which ML techniques can be applied within the field of AR within education. The first step is to describe the background of AR. In the next step, we discuss the ML models that are used in AR education applications. Additionally, we discuss how ML is used in AR. Each subgroup’s challenges and solutions can be identified by analyzing these frameworks. In addition, we outline several research gaps and future research directions in ML-based AR frameworks for education.
Importance of Examining Incidentality in Vaccine Safety Assessment
Authors: Suzumura Yasusi
Published: May 2024

The author believes that the principles of statistical methods for vaccine safety can be divided into three categories: comparison of adverse event incidence rates between vaccinated and unvaccinated groups, analysis of incidentality in the vaccinated group, and a combination of both. The first category includes the cohort study; the second, the self-controlled risk interval design (SCRI); and the third, the self-controlled case series method. A single p-value alone should not determine a scientific conclusion, and analysis should be performed using multiple statistical methods with different principles. The author believes that using both the cohort study and the SCRI for analysis is the best method to assess vaccine safety. When the cohort study may not detect a significant difference owing to a low incidence rate of an adverse event in the vaccinated group or a high one in the unvaccinated group, the SCRI may detect it. Because vaccines must have a higher level of safety than the pharmaceuticals used for treatment, vaccine safety is advisable to be assessed using methods that can detect a significant difference even for any value of the incidence rate of an adverse event. The author believes that the analyses of COVID-19 vaccine safety have areas for improvement because the proportion of papers that used the cohort study and the SCRI was negligible.
Accuracy of Anti-SARS-CoV-2 Antibody in Comparison with Surrogate Viral Neutralization Test in Persons Living with HIV, Systemic Lupus Erythematosus, and Chronic Kidney Disease
Authors: Tiara Marita Restie , Prayuda Chrisan Bimo , Maulidya Tara Titian , Djauhari Hofiya , Suhendar Dadang , Wisaksana Rudi , Hamijoyo Laniyati , Supriyadi Rudi , Indrati Agnes Rengga , Alisjahbana Bachti
Published: May 2024

The presence of the anti-SARS-CoV-2-RBD antibody (anti-RBD) prevents severe COVID-19. We aimed to determine the accuracy of a point-of-care anti-RBD testing implemented in persons living with HIV (PLWH), systemic lupus erythematosus (SLE), and chronic kidney disease (CKD). We enrolled 182 non-comorbid subjects and 335 comorbid subjects (PLWH, SLE, CKD) to test the anti-RBD assay compared to the surrogate viral neutralization test (sVNT) as the reference test. We performed linear correlation analysis between anti-RBD and sVNT, along with an ROC analysis to ascertain the anti-RBD cutoff at 30%, 60%, and 90% inhibition of sVNT, to calculate accuracy. The correlations between anti-RBD and sVNT among all groups were excellent, with R = 0.7903, R = 0.7843, and R = 0.8153 among the non-comorbid, SLE, and CKD groups, respectively, and with significantly higher correlation among the PLWH group (R = 0.8877; p-value = 0.0072) compared to the non-comorbid group. The accuracy of the anti-RBD test among the PLWH and CKD groups was similar to that among the non-comorbid group but showed lower sensitivity in the SLE group (p = 0.000014). The specificity of the test remained high in all groups. In conclusion, the anti-RBD test had excellent correlation with the sVNT. The persistently high specificity in all groups suggests that this test can be reliably utilized to detect the presence of low neutralization capacity, prompting additional vaccination.
Assessment of Rainfall and Temperature Trends in the Yellow River Basin, China from 2023 to 2100
Authors: Li Hui , Mu Hongxu , Jian Shengqi , Li Xinan
Published: May 2024

China’s Yellow River Basin (YRB) is sensitive to climate change due to its delicate ecosystem and complex geography. Water scarcity, soil erosion, and desertification are major challenges. To mitigate the YRB’s ecological difficulties, climate change must be predicted. Based on the analysis of the evolution features of hydro-meteorological elements, the CMIP6 climate model dataset with Delta downscaling and the Empirical Orthogonal Function (EOF) is utilized to quantitatively explore the future variations in precipitation and temperature in the YRB. The following results are drawn: The spatial resolution of the CMIP6 climate model is less than 0.5° × 0.5° (i.e., about 55 km × 55 km), which is improved to 1 km × 1 km by the downscaling of Delta and has outstanding applicability to precipitation and temperature in the YRB. The most accurate models for monthly mean temperature are CESM2-WACCM, NorESM2-LM, and ACCESS-CM2, and for precipitation are ACCESS-ESM1-5, CESM2-WACCM, and IPSL-CM6A-LR. Between 2023 and 2100, annual precipitation increases by 6.89, 5.31, 7.02, and 10.18 mm/10a under the ssp126, ssp245, ssp370, and ssp585 climate scenarios, respectively, with considerable variability in precipitation in the YRB. The annual temperature shows a significant upward trend, and the change rates under the different climate scenarios are, respectively, 0.1 °C/10a, 0.3 °C/10a, 0.5 °C/10a, and 0.7 °C/10a. The increase is positively correlated with emission intensity. Based on the EOF analysis, temperature and precipitation mainly exhibit a consistent regional trend from 2023 to 2100, with the primary modal EOF1 of precipitation for each scenario exhibiting a clear spatial distribution in the southeast–northwest.
EDITORIAL
Authors: Daza Cazana Leslie
Published: May 2024

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Evaluación del riesgo de caídas en adultos mayores con Diabetes Mellitus tipo 2
Authors: Santos Lopez Kerly Mabel , Araujo Ramirez Gabriela Stephanie , Sierra Nieto Victor Hugo
Published: May 2024

Introducción: La diabetes mellitus 2 es una enfermedad frecuente en adultos mayores, con múltiples complicaciones que pueden llegar a afectar el equilibrio y la marcha e incrementar el riesgo de caída. Objetivo: Determinar el riesgo de caídas en dos grupos de adultos mayores, uno con padecimiento de DM2 y otro sin este padecimiento. Metodología: Estudio de enfoque cuantitativo, alcance descriptivo, diseño observacional, y de cohorte transversal; muestra poblacional de 120 adultos mayores en la ciudad de Guayaquil divididos en dos grupos: grupo A con 60 adultos mayores que no padecían DM2 y grupo B con 60 adultos mayores con DM2; que cumplen con los criterios de inclusión y a quienes se evalúan mediante las técnicas: observación, evaluación y entrevista; y los instrumentos: Escala de Berg, Mini-BESTest y formulario estándar. Se utilizó la prueba estadística Chi cuadrado para la comparación de los resultados obtenidos. Resultados: Los resultados indican que, en la determinación del riesgo de caídas, se encontraron diferencias estadísticamente significativas (p<0.05) entre los dos grupos, y en el resto de las características contrastadas no se encontraron diferencias estadísticamente significativas (p>0.05). El estudio además encontró que los resultados obtenidos, en las dos pruebas de riesgo de caídas, difieren entre sí. Conclusiones: Los adultos mayores diabéticos presentan un mayor riesgo de caída a comparación de adultos mayores no diabéticos.
Ansiedad, depresión y calidad del sueño en estudiantes de Odontología
Authors: Roque Huanca Edgar Octavio , Chui Betancur Heber Nehemias , Padilla Caceres Tania Carola , Aguilar Velasquez Roberto Anacleto , Mamani Roque Maribel
Published: May 2024

La calidad del sueño en los estudiantes es un factor esencial que influye en el correcto desarrollo de los procesos cognitivos del aprendizaje, así como en la calidad de vida y la salud mental y física de los futuros profesionales. Objetivo: Evaluar la relación entre la ansiedad, la depresión y la calidad del sueño en estudiantes de la carrera de Odontología de la Universidad Nacional del Altiplano de Puno. Materiales y métodos: Estudio de tipo observacional de cohorte transversal con la participación de 78 estudiantes, con edad promedio de 22.63±2.87 años, con una distribución de género de 32 varones (41,0 %) y 46 mujeres (59,0 %). Se utilizó la escala de valoración de Hamilton para la evaluación de la ansiedad y la depresión, con una consistencia interna de ? = 0,88 y 0,86, respectivamente y el cuestionario de Pittsburgh para medir el índice de calidad del sueño (? = 0,87). Resultados: En el modelo predictivo los coeficientes estandarizados ? señalan que la ansiedad psíquica (? = -,870; p<0,001), la depresión (? = ,119; p<0,05) y el desarrollo de prácticas clínicas (? = -0,019; p<0,05) fueron los factores que más contribuyeron significativamente al índice de calidad del sueño de los estudiantes. Conclusión: Estos hallazgos subrayan la importancia de abordar los problemas del sueño como parte integral del tratamiento de la ansiedad y la depresión, además de resaltar la necesidad de tener en cuenta la salud mental en la evaluación y el manejo de los trastornos del sueño.
Experiencia laboral y percepción del personal sanitario de Perú durante la pandemia de COVID-19
Authors: Becerra Goicochea Lorena Judith , Alvarado Santos Alfonso Dedicación , Núñez Mejía Janner Alexis , Uriarte Torres Rosa Del Pilar
Published: May 2024

La pandemia de COVID-19 representó un gran desafío para los profesionales de la salud de Perú, debido al riesgo elevado de contagio, la sobrecarga laboral y afectación de la salud mental. Objetivo: Describir las experiencias laborales y percepciones del personal sanitario de este país durante la pandemia de COVID-19. Materiales y Métodos: Se llevó a cabo un estudio cualitativo fenomenológico, en el que se realizaron ocho entrevistas semiestructuradas a profesionales de la salud pública en Perú entre mayo y diciembre del año 2020. Las mismas fueron grabadas y transcritas para la recolección de la información, las cuales se analizaron en categorías. Resultados: En las entrevistas realizadas se destacaron los desafíos organizativos y de recursos, como la escasez de equipos de protección personal y gestión burocrática. Se resaltó el impacto humano y social en términos de comunicación, empatía y reevaluación de valores personales. Se observó adaptaciones significativas en la práctica médica, con énfasis en el manejo de pacientes y la capacitación. Conclusiones: Las experiencias clínicas y emocionales reflejaron los retos y motivaciones del personal sanitario durante la pandemia; en el que se demostró la necesidad de una mayor adaptabilidad y preparación, así como la importancia del bienestar emocional y social.
Telephone installation as the initial step of the Department of Provinces for the development of Massandra and Ai-Danil estates
Authors: Yefimov A. A.
Published: May 2024

The article, based on archival materials, refers to one of the episodes of the initial period of the existence of Massandra and Ai-Danil as the possessions of the Department of Provinces. The author notes that the mentioned estates, acquired in 1889 from the heirs of His Serene Highness Prince S.M.Vorontsov, were considered as an opportunity to develop and increase the wine-making and wine-trading activities of the Department. The article notes that one of the measures in this direction was the telephone line installation to provide communication both within the estates between the administration, the vineyards, the wine cellar and the winemaker's apartment, and between Massandra and the wine warehouse in Yalta. The author notes that the initiative to install telephones came from officials of the local province administration, who secured the consent of the chief of the Yalta Post and Telegraph Office to carry out all the necessary work and take on a new communication line. The chief of the Department of Provinces, for his part, supported this idea, in principle coordinating its implementation with the Main Directorate of Posts and Telegraphs. However, upon receipt of a detailed project and an estimate of its cost, the Department of Provinces was at a loss, since the calculated amount was one and a half times higher than that indicated in the preliminary justification. This required additional verification of the correctness and validity of the calculations on the spot. In the end, the telephone line project was nevertheless completed by the autumn of 1891 for an amount that was only slightly higher than the originally announced figures.
Bacteriologist and rector of the Imperial Kazan University N.M.Lyubimov in the memoirs of friends and colleagues
Authors: Trushin M. V.
Published: May 2024

Nikolay Matveyevich Lyubimov is a well-known scientist, teacher, public figure, doctor. He took an active part in the development of medicine (in particular, bacteriology) in the Kazan province. He served as rector of the Imperial Kazan University. The article presents previously little-known facts about the childhood, youth and other periods of N.M.Lyubimov’s life, told by childhood friends, colleagues and students at a solemn meeting on the occasion of his death.
Hagiographic topoi as elements of the image of a character in Yuri Buida’s story “The Miracle of Buyanikha (The poem)”
Authors: Girzheva G. N. , Zaika V. I.
Published: May 2024

The title of the story “The Miracle of Buyanikha” indicates the genre definition of the presence in the text of signs of hagiography, the horizon of expectation is determined, it is an expectation guideline, as well as a genre specification — a poem. Topoi — the main elements, ceremonial practices: images, motives, speech formulas, guarantees, etc. — are defined by the canon as genre signs of hagiography. The story contains images of various kinds of miracles, which, by their presence, suggest that Buyanikha belongs to the category of those to whom the hagiographic texts are dedicated. However, in the story, topoi and other vital signs have a dual relationship to the hagiographic canon: some images of Buyanikha are meaningfully quite correlated with hagiographic topoi, and are recognized by the reader as corresponding to the genre, other elements correlate with topoi “negatively”: the mentioned or described fact of Buyanikha’s biography contradicts the common place that characterizes the character as a saint (such a ratio is less recognizable). The most common sign of the use of the topos in the image of Buyanikha is its neutralization: the presence of such details that distort the canonical content of the topos in the description, correct pathos and ground the character. Therefore, in general, the implementation of hagiographic topics in the story is defined as a neglect of ceremoniality. The image of Buyanikha, built by the author using various points of view of the narrator and characters, is multifaceted: long lists of details whimsically combine plausible, factual, implausible and miraculous. Moreover, the miraculous, which, according to the canon, reproduces holiness, is usually neutralized, which is a characteristic feature of the image of the controversial Buyanikha.
Female images in A.Varlamov’s short prose
Authors: Kharitonova A. V.
Published: May 2024

In the article, the author refers to female images in A.Varlamov’s short prose. The creative method of the writer, considered by researchers to be spiritual realism, allows us to reveal the features of female characters through the prism of Christian axiology. Female images created by Varlamov are distinguished by a special inner spiritual force, as a rule, not inherent in male images in his works. In the course of the analysis, typological parallels of the heroine with the image of the writer’s grandmother, Maria Anempodistovna, embodied by the author in his story “Eva and Myasoedov” are established. The heroines of the works “Angel”, “Valdez” are united by the idea of sacrificial service, the idea of spiritual transformation is connected with the image of Mary from the story “The Sacrament”. A complex system of Christian motives accompanies the image of Lisa Nepomiluyeva from the story “The Little Star” and places it in the context of the hagiographic tradition. The axiological imperative, which carries the idea of salvation and transformation of the world and neighbor, distinguishes the female images of A.Varlamov and asserts them in the constants of the national spiritual tradition.
INCOMES AND HOUSING CONDITIONS OF THE POPULATION AS FACTORS INFLUENCING DEMOGRAPHICS IN THE REGIONS
Authors:   Vladimir State University named after Alexander and Nikolay Stoletovs, Fraimovich D. Y. , Vakulenko O. S. ,   Vladimir State University named after Alexander and Nikolay Stoletovs, Vlasenko K. A. ,   Vladimir State University named after Alexander and Nikolay Stoletovs
Published: May 2024

The issues of choosing indicators of well-being, level, and quality of life of the population in the scientific community often cause well-founded discussions. The authors of the presented work believe that one of the most significant indicators, considering the availability of information and a fairly broad interpretation, is life expectancy in the territory. This is since this category reflects the general level of development of the region under study, i.e. describes the health, social, environmen-tal, demographic, political and other spheres now, and considers the prospects of functioning. This indicator is also important for the economy, since it is considered in long-term development pro-grams, directly affects the labor market and the activities of social services. In this regard, the basic indicator in this work is life expectancy. The subjects of the Central Federal District (CFD) are the object of monitoring. In the presented article, based on the identified dependencies for the period from 2000 to 2021, the relationship between life expectancy and infrastructural factors is substanti-ated using the example of the regions of the Central Federal District. The latter have found expres-sion in the real incomes of the population and the number of families in need of a change of housing. From the authors' point of view, the situation is aggravated by insufficient rates of housing renova-tion and insignificant income growth. The studied and identified relationships and dependencies can be applied within the framework of national and regional development, as well as draw the attention of representatives of territorial administrations to the level of satisfaction with housing stock, and the population to issues related to financial capital management.
RESEARCH ON THE RELEVANCE OF THE USE OF MACHINE LEARNING METHODS IN THE DIGITAL ECONOMY
Authors:   Kuban State Agrarian University named after I.T. Trubilin, Paramonov Y. S. , Ivantsov K. A. ,   Kuban State Agrarian University named after I.T. Trubilin, Mironchuk V. A. ,   Kuban State Agrarian University named after I.T. Trubilin
Published: May 2024

The paper investigates the main ways of studying the digital economy using machine learn-ing methods and assesses the degree of their application in different sectors of the economy. Differ-ent points of view on the definition of the concepts of "digital economy" and "machine learning" are considered. The level of development and relevance of artificial intelligence and machine learning, as well as their multi-purpose use in various spheres of society are noted. The types of tasks, for the solution of which by means of machine learning methods the maximum efficiency and productivity are provided. The advantages and disadvantages of using machine learning methods are highlighted and disclosed in more detail. Based on the conducted collection and analysis of reporting data pro-vided by the Federal State Statistics Service "Rosstat", the analysis, synthesis and correlation of indi-cators used to describe the position of machine learning methods in the digital economy are carried out. The most demanded areas of the digital economy from the point of view of applying machine learning algorithms were identified, each sector of which was hierarchically classified depending onthe relevance of applying machine learning methods in it. The ways of categorizing machine learning methods into groups are described. The results of the study allow us to draw conclusions about the position of machine learning methods in the modern digital economy, the importance of their appli-cation and the need to train specialists in this field.
RESIDENTIAL REAL ESTATE MARKET IN RUSSIA: STRUCTURE AND CYCLICITY OF DEVELOPMENT
Authors:   IMSIT Academy, Berdnikova V. N.
Published: May 2024

Conducting a structural analysis of the real estate market is important for participants. It allows an investor, buyer, seller, or other participant to determine the phase of development of the real estate market. Analysis provides an additional tool for making the optimal decision now and in the future, which means that the problem is relevant. The purpose of the study was to identify the main market structures for the primary and secondary housing market, as well as to identify their relationship with the cyclical development of the market. The objectives of the study were to study the experience of domestic scientists, to determine market structures and cycles in the de-velopment of various segments of the residential real estate market. There was also an analysis of statistical data in physical and monetary terms, a description of the dynamics of the housing mar-ket over a twenty-year period by regions of Russia, Kazakhstan, and the Republic of Belarus. The methods of detailing, generalization, logical inferences, and graphical visualization of data were used in the article. The study revealed a typical market structure for the primary and secondary segments of the housing market, and established a link between the phase of market development and the market structure. The primary residential real estate market is characterized by elements of perfect competition, while the secondary real estate market is characterized by monopolistic competition. Cyclicity in the development of the real estate market is reflected in the type of struc-ture and there is a decrease in the level of competitiveness.