bluuebunny/crossref_metadata_2025 huggingface dataset:
The Dropout of First-Year STEM Students: Is It Worth Looking beyond Academic Achievement?
Authors: Casanova Joana R. , Castro-López Adrián , Bernardo Ana B. , Almeida Leandro S.
Published: January 2023

The expansion of Higher Education increased the diversity of students, with heterogenous characteristics, needs, and values. Institutions, intending to preserve the mission and the transformative potential of the tertiary level of education, are facing and implementing policies and practices that enhance success conditions, persistence, and avoid student dropout, in order to meet the goals for sustainable development of people and societies. The present study aims to analyze the impact of personal and academic variables on students’ academic difficulties in adaption to HE, academic achievement, and dropout among first-year STEM students. From a cohort of STEM first-year students at a Portuguese public university, the participants numbered 1376. Applying the structural equation modelling, the results highlight the effect of the variables age, gender, scholarship, and grade point average on access to higher education, difficulties in adapting to higher education, and dropout decision. Understanding STEM students who have already dropped out can contribute to better identification of institutional actions to prevent and reduce its occurrence, especially in first-year students.
Interactions between Health and the Sustainable Development Goals: The Case of the Democratic Republic of Congo
Authors: Egbende Landry , Helldén Daniel , Mbunga Branly , Schedwin Mattias , Kazenza Benito , Viberg Nina , Wanyenze Rhoda , Ali Mapatano Mala , Alfvén Tobias
Published: January 2023

A systematic and contextualized assessment of the interactions between the Sustainable Development Goals and health in the Democratic Republic of Congo is currently lacking. This study aimed to characterize and classify the linkages between the Sustainable Development Goals in the DRC with a focus on health and well-being. In this semi-qualitative participatory study, 35 experts assessed 240 interactions between 16 of the 17 SDGs during a two-day workshop in Kinshasa, Democratic Republic of the Congo, using a scale from +3 (strongly promoting) to −3 (strongly restricting). SDG 16 (Peace, justice, and strong institutions) had the strongest promoting influence on other goals and was identified as a key priority for the DRC to attain the SDGs. Progress on SDG 3 (good health and well-being) was perceived as promoting progress on most SDGs, and through second-order interactions, a positive feedback loop was identified. Furthermore, progress on the other SDGs was deemed to promote progress on SDG 3, with SDG 16 having the greatest positive potential when second-order interactions were taken into account. Our results show the importance of recognizing synergies and trade-offs concerning the interactions between health and other SDGs and that it is imperative to set up structures bringing together different sectors to accelerate work towards achieving the 2030 Agenda.
Study on the Spatial and Temporal Distribution and Traffic Flow Parameters of Non-Motorized Vehicles on Highway Segments Crossing Small Towns
Authors: Hu Shengneng , Tong Wei , Jia Zhen , Zou Junjie
Published: January 2023

The traffic flow of non-motorized vehicles on the highway segments crossing small towns is disorderly and chaotic. In order to improve the traffic environment and regulate the order of non-motorized operations, this article studies the spatial and temporal distribution and traffic flow parameters of non-motorized traffic on the highway segments crossing small towns. The non-motorized traffic within the section of the National Highway G310 crossing small towns in Henan Province, China, is investigated through various research tools such as questionnaires, interviews, and on-site statistics. The regularity and characteristics of non-motorized traffic in terms of travel purpose, travel distance, travel time, and travel frequency were obtained. Meanwhile, based on the actual collected traffic data, the speed–density relationship, flow rate–density relationship, and speed–distance relationship of non-motorized traffic flow were studied using mathematical and statistical methods. The results show that thresholds exist for both time and distance traveled by non-motorized vehicles on small town road sections. The threshold value of riding time is 30 min, and the threshold value of riding distance is 5 km. Under the free flow state, the speed distribution is near a certain desired speed, and the flow rate–density relationship conforms to the exponential function relationship when the flow rate is greater than the critical flow value. The speed and distance show a cubic function relationship, and the speed gradually increases with the increase in distance between the non-motorized vehicles and towns. Based on the results of the above analysis, it is possible to grasp the travel regularity of non-motorized cyclists on highway segments crossing small towns. This provides a theoretical basis for enhancing the efficiency of non-motorized travel and improving the non-motorized travel environment.
The Relationship between International Trade in Industry 4.0 Products and National-Level Sustainability Performance: An Empirical Investigation
Authors: Das Arindam
Published: January 2023

In this study, we assessed how Industry 4.0 (I4.0) adoption influences a country’s sustainability performance. Departing from firm-level analyses, we studied international trade of products pertaining to Advanced Industrial Robotics (AIR), Additive Manufacturing (AM), and Industrial Internet of Things (IIoT) and advanced the argument that the intensity of import of these products demonstrates an aspiring level of I4.0 adoption, and the revealed comparative advantage of export of these products demonstrates an advanced level of I4.0 adoption. Consequently, we studied the influence of these factors on national performance in three manufacturing-relevant SDGs, i.e., SDG 8, SDG 9, and SDG 12. Our empirical analysis showed mixed results. Adoption of I4.0 led to sustainable manufacturing practices that further enhanced national-level performance in relevant SDGs, especially in advanced countries. We also identified opportunities for further research on how adoption of I4.0 could avoid unsustainable digitalization and lead to circular economy practices.
Improving Farm Cooperatives’ Performance and Sustainability: A Study of Agricultural Managers’ Competencies Based on the Grounded Theory and the fsQCA Methods
Authors: Yu Xiyuan , Liu Wenli , Qing Lingli , Zhang Di
Published: January 2023

As an effective talent selection and performance management method in enterprises, can the competency model also play an essential role in farm cooperatives? Limited research currently focuses on improving farm cooperatives’ performance through agricultural managers’ competency. Our study takes the initiative to create the “agricultural manager competency model,” which includes five competency dimensions: knowledge and technology, personal capabilities, career orientation, personality traits, and intrinsic drive. On this basis, the multiple competencies are analyzed by the fuzzy set qualitative comparative analysis(fsQCA). We found that agricultural managers improve the performance of farm cooperatives. There are four paths to generate high performance, which summarize three types of agricultural managers: technical career, managerial career, and integrated entrepreneurial.
The Role of Transformational Leadership in Developing Innovative Work Behaviors: The Mediating Role of Employees’ Psychological Capital
Authors: Karimi Saeid , Ahmadi Malek Farzaneh , Yaghoubi Farani Ahmad , Liobikienė Genovaitė
Published: January 2023

Despite growing research on the significance of transformational leadership as a key contextual factor that determines innovative behavior, recent studies have not investigated the psychological mechanisms that link transformational leadership to employees’ innovative behavior thoroughly. Thus, the main purpose of this study was to examine the mediating role the four dimensions of psychological capital—self-efficacy, hope, resilience, and optimism—play in the relationship between transformational leadership and employees’ innovative work behavior. Data from 178 Iranian agriculture experts were collected and analyzed using structural equation modeling. The results indicated that transformational leadership was related to employees’ innovative work behavior directly and positively. Furthermore, the results showed that hope and self-efficacy partially mediated the relationship. This study fills a gap in the literature by clarifying the way the dimensions of psychological capital influence transformational leadership’s positive relationship to employees’ innovative work behavior in the public sector of developing countries. The results imply that to be innovatively effective, organizations need to manage both employees’ contextual (transformational leadership) and psychological (psychological capital) resources to enhance their innovative work behavior. The theoretical and practical implications were further discussed.
Design and Research of Automatic Garment-Pattern-Generation System Based on Parameterized Design
Authors: Jin Peng , Fan Jintu , Zheng Rong , Chen Qing , Liu Le , Jiang Runtian , Zhang Hui
Published: January 2023

Personalization in the apparel industry shows importance and the potential for demand, but the existing personalization has unreasonable time cost, labor cost, and resource waste. To solve the problems of the waste of resources as well as both time and labor cost caused by manual pattern making in clothing personalization, a method of automatic garment pattern generation based on a parametric formula and the Python language was proposed. Based on the classification of common curves in patterns, three curve fitting algorithms based on different parameters were derived and combined with the Python language to achieve personalized generation of different patterns by classifying the parameters in the system into key parameters, secondary parameters, and variable parameters. Three different methods for verifying the accuracy of the garment patterns were proposed based on curve fitting similarity and three-dimensional virtual modeling, and the accuracy of the proposed system was verified. The results show that the accuracy and comfort of the patterns generated via the system were high. Meanwhile, the Python-language-based system fits well with the production system of enterprises, which can improve the rapid response capability of garment personalization, greatly save the time cost and labor cost of enterprises, reduce resource loss, and contribute to the sustainable development of the garment industry.
Predicting the Evolution Trend of Water and Land Resource Carrying Capacity Based on CA–Markov Model in an Arid Region of Northwest China
Authors: Xu Cundong , Hu Xiaomeng , Liu Zijin , Wang Xin , Tian Junjiao , Zhao Zhihong
Published: January 2023

The evolution of water and land resource carrying capacity significantly impacts optimal water and land resource allocation and regional sustainable development in arid regions. This study proposes a model that combines cellular automaton (CA) and Markov; this model aids in predicting spatial changes in water and land resource availability. In this study, taking the Jingdian Irrigation District in China’s northwest arid region as an example, we used long-series monitoring data and a Landsat dataset to create a raster-weighted fusion of 18 indicators and quantitatively analyzed the carrying status of water and land resources from 1994 to 2018. The CA–Markov model was used to simulate the carrying status of water and land resources in 2018 and to perform accuracy correction. The validated CA–Markov model was used to predict water and land resource carrying status in 2026 and 2034. The results show (1) from 1994 to 2018, the area of “good carrying” zone increased by 10.42%, the area of “safe carrying” zone increased by 7%, and spatially rose in an arc from the town to the surrounding regions. The area of “critical carrying” zone remains almost unchanged. The area of “slight carrying” zone decreased by 5.18% and the area of “severe carrying” zone decreased by 11.99%. (2) Comparing the actual and predicted carrying state of water and land resources in 2018, it was found that the simulation accuracy of “good carrying”, “safe carrying”, “critical carrying”, “slight carrying”, and “severe carrying” reached 98.71%, 92.07%, 95.34%, 94.05%, and 93.73%, respectively. This indicates that the simulation results have high reliability and applicability. (3) The future medium and long-term carrying status of water and land resources are healthy, but this trend is gradually slowing. The “slight carrying” and “severe carrying” zones show the gradual spatial transition from land desertification to soil salinization.
Does Weather-Related Disaster Affect the Financing Costs of Enterprises? Evidence from Chinese Listed Companies in the Mining Industry
Authors: Chu Xiaojun , Sui Nianrong
Published: January 2023

In this paper, we test the impact of weather-related disasters on the individual firm’s equity financing cost based on Chinese listed companies in the mining industry. We collect data from the China Meteorological Disaster Yearbook and CSMAR database. Using direct economic loss associated with extreme weather-related events to quantitate meteorological disasters and regression analysis, we find that weather-related disasters significantly increase a firm’s equity financing cost. This result is robust compared to alternative measurements of equity financing cost, such as the two-way fixed effect model, severe disaster dummy variable, and instrumental variable regression. Further research shows that cash holdings and managerial ability can mitigate the impact of meteorological disasters on the equity financing cost. Our study provides significant implications for firms and policymakers. Firms and policymakers should carefully evaluate the risk of weather-related disasters.
Impact of the Variability of Vegetation, Soil Moisture, and Building Density between City Districts on Land Surface Temperature, Warsaw, Poland
Authors: Przeździecki Karol , Zawadzki Jarosław
Published: January 2023

The temperature of a city’s surface is influenced by many factors, including human-dependent ones that can be shaped, such as the urban density, the condition of urban vegetation, the presence of urban water bodies, and soil moisture. Knowledge on this subject allows for improving the urban climate through better planning and construction of urban infrastructure and adapting cities to climate change and avoiding deadly heat waves increasingly threatening European cities. So far, mainly the first three factors have been studied particularly well, while there is no in-depth research on the impact of soil moisture on a city’s climate in the literature. This article fills this gap by analyzing the impact of all the abovementioned factors on the temperature of the city’s surface in Warsaw, a large European urban agglomeration, located in a temperate climate zone. Due to the exceptionally large war damage to Warsaw during World War II, rapid postwar reconstruction, and significant expansion, the city is characterized by a very large diversity of urban development density and a much larger amount of green areas compared to most large cities, such as old Western European agglomerations. The scientific novelty of the work is also the fact that the soil moisture content was analyzed using the TVDI/qTVDI (Temperature Vegetation Dryness Index Estimation) indexes obtained by using the so-called triangle methods in NDVI-LST space, based on satellite observations. Such analyses have not been performed so far in urban areas, while in the article, many new results were obtained on this subject. For example, Pearson’s correlation coefficients between LST, NDBI, NDVI, and qTVDI calculated for the entire area of Warsaw on 8 August 2020 were 0.78, 0.45, and −0.35, respectively. Another important aspect of the work is that it includes comparative studies of the impact of the abovementioned factors on the temperature of the Earth’s surface at the level of different city districts. As a result, it was possible to more effectively study the impact of the abovementioned factors on the temperature of the Earth’s surface at the scale of local administrative units. Thanks to the obtained results, urban planners will be able to reduce urban hazard risks caused by climate change.
An In-Depth Survey Demystifying the Internet of Things (IoT) in the Construction Industry: Unfolding New Dimensions
Authors: Khurshid Kiran , Danish Aamar , Salim Muhammad Usama , Bayram Muhammed , Ozbakkaloglu Togay , Mosaberpanah Mohammad Ali
Published: January 2023

In this digital era, many industries have widely adopted the Internet of Things (IoT), yet its implementation in the construction industry is relatively limited. Integration of Construction 4.0 drivers, such as business information modeling (BIM), procurement, construction safety, and structural health monitoring (SHM), with IoT devices, provides an effective framework for applications to enhance construction and operational efficiencies. IoT and Construction 4.0 driver integration research, however, is still in its infancy. It is necessary to understand the present state of IoT adoption in the Construction 4.0 context. This paper presented a comprehensive review to identify the IoT adoption status in the Construction 4.0 areas. Furthermore, this work highlighted the potential roadblocks to IoT’s seamless adoption that are unique to the areas of Construction 4.0 in developing countries. Altogether, 257 research articles were reviewed to present the current state of IoT adoption in developed and developing countries, as well as the topmost barriers encountered in integrating IoT with the key Construction 4.0 drivers. This study aimed to provide a reference for construction managers to observe challenges, professionals to explore the hybridization possibilities of IoT in the context of Construction 4.0, and laymen to understand the high-level scientific research that underpins IoT in the construction industry.
Indoor Environmental Quality Assessment Model (IEQ) for Houses
Authors: Quesada-Molina Felipe , Astudillo-Cordero Sebastián
Published: January 2023

Housing and its indoor environment influence its inhabitants’ comfort, productivity, and health. For this reason, it is becoming increasingly important to investigate the factors that affect indoor environmental quality. Thus, numerous sustainability assessment systems have been developed to evaluate building performance. This paper presents a model for evaluating the indoor environment of housing located in the Biobio region of Chile, integrating aspects that influence its overall quality. The research methodology proposes a strategy to identify appropriate evaluation criteria and contextualized standards. The application of the model made it possible to identify the level of performance of studio dwellings for each category, namely air quality, thermal comfort, acoustics, and lighting, as well as the overall evaluation of the IEQ. The results reflect that the lowest levels of performance in the three houses were with respect to the acoustic evaluation criteria, while the highest levels of performance were for the air quality evaluation criteria.
The Role of VR Shopping in Digitalization of SCM for Sustainable Management: Application of SOR Model and Experience Economy
Authors: Han Sang-Lin , Kim Janghyun , An Myounga
Published: January 2023

Shopping malls in virtual reality (VR) environments have created a new paradigm of distribution environments as a strategy of digital consumption experience for sustainable management in the fast-changing digitalization of SCM. This study implemented a VR shopping environment to examine how telepresence and interactivity affect the consumers’ usage behavior after experiencing a VR shopping environment by applying the SOM model and experience economy, and suggests the role of VR shopping in the digitalization of SCM for sustainable management. First, this study examined the impact of telepresence and interactivity on time distortion and enjoyment based on the experience economy and flow theory. Second, the relationship between time distortion and perceived enjoyment during the VR shopping experience was tested. The study also examined whether the perceived enjoyment affected behavioral intention. As a research method for this study, we directly implemented a VR supermarket, and had 120 people participate in the survey after experiencing the VR supermarket. Additionally, a structural equation model was used to verify the proposed hypothesis model. The study findings show that both telepresence and interactivity have a significant relationship with time distortion and enjoyment. Time distortion was verified to have partial mediating effects on the relationship between telepresence and enjoyment. Time distortion had a positive impact on enjoyment, which in turn was verified to have a significant effect on the consumers’ behavioral intention. In other words, in order to digitize SCM for sustainable management in a VR shopping environment, it is necessary to implement an environment in which consumers are immersed and to track consumer behavior during the experience. Through this, it is possible to create a core management strategy that creates a competitive advantage.
Exploring Students’ Perceptions in Sustainable Disciplinary Language Learning in an English-Medium Instruction University: A Case Study of Hong Kong Veterinary Medical Students
Authors: Pun Jack , Onder-Ozdemir Neslihan
Published: January 2023

University students are expected to develop the skills required for their disciplines, especially those who have learnt English as a foreign language and study at English-medium instruction (EMI) universities. This study investigates the disciplinary literacy needs of students of veterinary medicine. The data were collected using a large-scale survey (n = 122) of students and interviews with five practitioners of veterinary medicine. The findings show that the student vets were trained to carry out highly demanding duties during their clinical placements, such as reading medical case histories, making diagnoses, elaborating on treatment plans for their clients, and composing referrals and medical reports. However, they were exposed to a challenging EMI environment where the requirement to speak and write in English significantly hindered the effectiveness of their learning. A discrepancy in disciplinary tasks between school and the workplace was also revealed. Therefore, it is crucial that researchers and educators at veterinary schools address students’ learning challenges to ensure they have the effective English language skills (including reading, writing, and speaking) they need to meet the language demands of their future clinical work and an understanding of the academic genres of veterinary medicine. This study also showcases the types of multi-literacies (i.e., academic genres and communication skills) needed to fulfil certain clinical duties, and the pedagogical implications are discussed.
Insightful Electric Vehicle Utility Grid Aggregator Methodology Based on the G2V and V2G Technologies in Egypt
Authors: Makeen Peter , Ghali Hani A. , Memon Saim , Duan Fang
Published: January 2023

Due to the exponential expansion of the global fleet of electric vehicles (EVs) in the utility grid, the vehicle-to-grid paradigm is gaining more attention to alleviate the pressure on the grid. Therefore, an EV aggregator acts as a resilient load to enhance the power deficiency in the electrical grid. This paper proposes the vital development of a central aggregator to optimize the hierarchical bi-directional technique throughout the vehicle-to-grid (V2G) and grid-to-vehicle (G2V) technologies. This study was implemented using three different types of EVs that are assumed to penetrate the utility grid throughout the day in an organized pattern. The aggregator determines the number of EVs that would participate in the electric power trade during the day and sets the charging/discharging capacity level for each EV. In addition, the proposed model minimized the battery degradation cost while maximizing the revenue of the EV owner using the V2G technology and ensuring a sufficient grid peak load demand shaving based on the genetic algorithm (GA). Three case studies were investigated based on the parking interval time where the battery degradation cost was minimized to reach approx. 82.04%. However, the revenue of the EV owner increased when the battery degradation cost was ignored. In addition, the load demand decreased by 26.5%. The implemented methodology ensured an effective grid stabilization service by shaving the load demand to identify the average required power throughout the day. The efficiency of the proposed methodology is ensured since our output findings were in good agreement with the literature survey.
The Use of Environmental Product Declarations of Construction Products as a Data Source to Conduct a Building Life-Cycle Assessment in Spain
Authors: Soust-Verdaguer Bernardette , Palumbo Elisabetta , Llatas Carmen , Velasco Acevedo Álvaro , Fernández Galvéz María Dolores , Hoxha Endrit , Passer Alexander
Published: January 2023

The Life-cycle Assessment (LCA) method and the Environmental Product Declaration (EPD) each play a crucial role in reducing buildings’ embodied environmental impacts. EPDs provide the validated and geographically representative data necessary to conduct an LCA. However, the development of EPDs in the European context is still irregular. Countries such as Germany and France have many EPDs for construction products, while other countries, such as Spain, have a limited number of EPDs and more than one operator programme, which is pointed out in the literature as a possible limiting factor for comparing results. This study aimed to examine the use of construction product EPDs manufactured in Spain, to then use as a data source to conduct a building LCA. We analysed the comparability of the results among the different EPD programmes and investigated to what extent the use of Spainߣs geographically representative construction product EPDs can contribute to conducting a building LCA, including all the materials and products that compose a building, and covering all the building life-cycle stages (product, construction, use, and end-of-life). The results showed that plasterboard and thermal insulation products have the highest numbers of EPDs in different EPD programmes. The case study analysis showed that 20% of the construction products that compose a building can potentially use these EPDs as a data source to conduct a building LCA, and 89% of those product categories include at least the product, use, or end-of-life stage modules. Finally, recommendations and challenges to improve LCA development in the architecture, engineering, construction, and operation industries were included.
EntreComp Framework: A Bibliometric Review and Research Trends
Authors: Raţiu Augusta , Maniu Ionela , Pop Emilia-Loredana
Published: January 2023

The European Entrepreneurship Competence (EntreComp) framework has been proposed by the European Commission in order to build consensus around a common understanding of entrepreneurship competence (knowledge, skills, and attitude). This study reports a bibliometric review of the research to date, addressing the EntreComp framework, based on documents published during the period from 2016 to June 2022. The research dataset was collected from Web of Science Core Collection (WoS) and included 37 articles. The bibliometric analysis includes citation, cooccurence and network analysis to represent the between countries and interorganizational collaboration, to identify relationships between documents topics. Along with the bibliometric analysis, a detailed description of characteristics for each article (study design and objectives, instruments, research findings, etc.) was also presented. Overall, this study provides insights regarding research addressing EntreComp framework, that could guide future research directions of practitioners/policy makers/researchers/etc. in the entrepreneurial competencies field and other interconnected domains.
Existence and Ulam–Hyers Stability Results for a System of Coupled Generalized Liouville–Caputo Fractional Langevin Equations with Multipoint Boundary Conditions
Authors: Awadalla Muath , Subramanian Muthaiah , Abuasbeh Kinda
Published: January 2023

We study the existence and uniqueness of solutions for coupled Langevin differential equations of fractional order with multipoint boundary conditions involving generalized Liouville–Caputo fractional derivatives. Furthermore, we discuss Ulam–Hyers stability in the context of the problem at hand. The results are shown with examples. Results are asymmetric when a generalized Liouville–Caputo fractional derivative (ρ) parameter is changed.
Comparative Analysis of Darcy–Forchheimer Radiative Flow of a Water-Based Al2O3-Ag/TiO2 Hybrid Nanofluid over a Riga Plate with Heat Sink/Source
Authors: Sindhu R. , Alessa Nazek , Eswaramoorthi S. , Loganathan Karuppusamy
Published: January 2023

The behavior of the Darcy–Forchheimer flow of a double-hybrid nanofluid toward a Riga plate with radiation and heat source/sink effects is investigated. The two different hybrid nanofluids, (Al2O3 and Ag) and (Al2O3 and TiO2) with a base fluid (H2O), are considered. The governing flow models with accompanying boundary constraints are reshaped into non-linear ODEs by applying the symmetry variables. The reshaped ODEs are numerically computed using Bvp4c in Matlab and the ND solver in Mathematica. The impact of the emerging parameters on the heat transfer, surface shear stress, temperature and velocity profile is scrutinized and expressed in a tabular and graphical structure. It is noticed that the upsurge of the Hartmann number leads to an improvement in the velocity profile. The velocity declines when enriching the porosity parameter. The radiation and Biot number lead to strengthening the temperature profile. The surface shear stress exalts due to a larger modified Hartman number. The radiation and unsteady parameters are downturns in the heat transfer gradient.
How Fluid Particle Interaction Affects the Flow of Dusty Williamson Fluid
Authors: Mohd Kasim Abdul , Arifin Nur , Mohd Zokri Syazwani , Ariffin Noor , Shafie Sharidan
Published: January 2023

A model of two-phase flow involving non-Newtonian fluid is described to be more reliable to present the fluid that involves industrial applications due to the special characteristics in its behavior. Many models of non-Newtonian fluid were discovered in the last few decades but the model that captured the most attention is the Williamson model. The consideration of the existing particles in the Williamson flow (two-phase Williamson fluid) will make the model more interesting to investigate. Hence, this paper is aimed to explore the flow of two-phase Williamson fluid model in the presence of MHD and thermal radiation circumstances. The obtained ordinary differential equations after the transformations are solved using the Runge-Kutta Fehlberg (RKF45) method. The flow is considered asymmetric since it moves over a vertical stretching sheet with external stimuli. The result displays variation in dust phases compared to the fluid phase under distribution of velocity and temperature. It can be concluded that the fluid–particle interaction (FPI) parameter lessening the motion of fluid and heating characteristics. In addition, the upsurges on skin friction and heat transfer are resulting from the rising FPI. Furthermore, the presence of Williamson parameter increases the skin friction while causing degenerations on heat transfer of flow.
Simulation of Manufacturing Scenarios’ Ambidexterity Green Technological Innovation Driven by Inter-Firm Social Networks: Based on a Multi-Objective Model
Authors: Wei Xuan , Wu Hongyu , Yang Zaoli , Han Chunjia , Xu Bing
Published: January 2023

The mechanism of the impact of inter-firm social networks on innovation capabilities has attracted much research from both theoretical and empirical perspectives. However, as a special emerged and developing complex production system, how the scenario factors affect the relationship between these variables has not yet been analyzed. This study identified several scenario factors which can affect the firm’s technological innovation capabilities. Take the manufacturing scenario in China as an example, combined with the need for firms’ ambidexterity innovation and green innovation capability, a multi-objective simulation model is constructed. Past empirical analysis results on the relationship between inter-firm social network factors and innovation capabilities are used in the model. In addition, a numerical analysis was conducted using data from the Chinese auto manufacturing industry. The results of the simulation model led to several optimization strategies for firms that are in a dilemma of development in the manufacturing scenario.
Amino Acid Polymorphisms on the Brazilian Strain of Yellow Fever Virus Methyltransferase Are Related to the Host’s Immune Evasion Mediated by Type I Interferon
Authors: Furtado Nathália Dias , de Mello Iasmim Silva , de Godoy Andre Schutzer , Noske Gabriela Dias , Oliva Glaucius , Canard Bruno , Decroly Etienne , Bonaldo Myrna C.
Published: January 2023

Since late 2016, a yellow fever virus (YFV) variant carrying a set of nine amino acid variations has circulated in South America. Three of them were mapped on the methyltransferase (MTase) domain of viral NS5 protein. To assess whether these changes affected viral infectivity, we synthesized YFV carrying the MTase of circulating lineage as well as its isoform with the residues of the previous strains (NS5 K101R, NS5 V138I, and NS5 G173S). We observed a slight difference in viral growth properties and plaque phenotype between the two synthetic YFVs. However, the MTase polymorphisms associated with the Brazilian strain of YFV (2016–2019) confer more susceptibility to the IFN-I. In addition, in vitro MTase assay revealed that the interaction between the YFV MTase and the methyl donor molecule (SAM) is altered in the Brazilian MTase variant. Altogether, the results reported here describe that the MTase carrying the molecular signature of the Brazilian YFV circulating since 2016 might display a slight decrease in its catalytic activity but virtually no effect on viral fitness in the parameters comprised in this study. The most marked influence of these residues stands in the immune escape against the antiviral response mediated by IFN-I.
Role of HBcAb Positivity in Increase of HIV-RNA Detectability after Switching to a Two-Drug Regimen Lamivudine-Based (2DR-3TC-Based) Treatment: Months 48 Results of a Multicenter Italian Cohort
Authors: Malagnino Vincenzo , Salpini Romina , Teti Elisabetta , Compagno Mirko , Ferrari Ludovica , Mulas Tiziana , Svicher Valentina , Zordan Marta , Basso Monica , Battagin Giuliana , Panese Sandro , Rossi Maria Cristina , Scaggiante Renzo , Zago Daniela , Iannetta Marco , Parisi Saverio Giuseppe , Andreoni Massimo , Sarmati Loredana
Published: January 2023

The aim of this study was to evaluate whether the presence of anti-hepatitis B (HBV) c antibodies (HBcAb positivity) could influence the control of HIV viremia in patients living with HIV (PLWH) who switch to two-drug antiretroviral therapy (2DR) containing lamivudine (3TC) (2DR-3TC-based). A retrospective multicentre observational study was conducted on 160 PLWH switching to the 2DR-3TC-based regimen: 51 HBcAb-positive and 109 HBcAb-negative patients. The HBcAb-positive PLWH group demonstrated a significantly lower percentage of subjects with HIV viral suppression with target not detected (TND) at all time points after switching (24th month: 64.7% vs. 87.8%, p < 0.0001; 36th month 62.7% vs. 86.8%, p = 0.011; 48th month 57.2% vs. 86.1%, p = 0.021 of the HBcAb-positive and HBcAb-negative groups, respectively). Logistic regression analysis showed that the presence of HBcAb positivity (OR 7.46 [95% CI 2.35–14.77], p = 0.004) could favour the emergence of HIV viral rebound by nearly 54% during the entire study follow-up after switching to 2DR-3TC.
INTELLIGENT SYSTEM FOR DIAGNOSING THE STATE OF VEHICLE SYSTEMS AND ASSEMBLIES
Authors:   Orel State University, Alekse Yurievich Rodichev , Kirill Konstantinovich Nastepanin ,   Orel State University, Irina Vladimirovna Rodicheva ,   Orel State University, Kirill Vladimirovich Vasiliev ,   Orel State University
Published: January 2023

The article considered the possibility of diagnosing the state of systems and assemblies of a car using an artificial neural network. During the experiment, two different states of the engine were identified based on the images of thermograms. ResNet convolutional neural networks were trained for automated classification of thermogram images obtained using a thermal imager. The data obtained was split into training and testing samples. The data was broken down in the ratio: 70% for training and 30% for testing. With sequential partitioning, the training sample was se-lected at the beginning of the recording of each individual experiment, and the test sample was se-lected at the end. The best results were obtained when training the CNN ResNet18. The accuracy of testing with a random method of data partitioning was 100%.
DEVELOPMENT OF METHODS FOR CONTROLLING THE MOVEMENT OF THE WORKING BODY OF A ROBOTIC 3D PRINTING COMPLEX TO PROVIDE ADDITIVE TECHNOLOGIES
Authors:   South-West State University, Alexander Nikolaevich Rukavitsyn , Phyo Wai Kyaw ,   South-West State University
Published: January 2023

The article presents the results of the development of a robotic complex for providing additive technologies based on a spatial manipulator. The quality of volumetric printing is ensured by the continuous movement of the working body - the extruder along a trajectory specified in the space of generalized coordinates or in Cartesian space. A method is proposed for forming program trajectories of the manipulator's working body by specifying a set of nodal points, the movement between which is carried out along rectilinear trajectories. To do this, the inverse kinematics problem of position is solved at each moment of time. The developed algorithm, implemented in the Matlab environment, made it possible to determine the values of generalized coordinates, velocities, accelerations and forces during the movement of links corresponding to the configurations of the spatial manipulator at specified points of the trajectory.
DETERMINATION OF DEPENDENCE OF THE ROAD ACCIDENT TYPE ON THE SEGMENT OF ROUNDABOUT
Authors:   Orenburg State University, Vladimir Ivanovich Rassokha , Nikolai Andreevich Nikitin ,   Baltic Federal University
Published: January 2023

The paper identifies the relationship between different types of road accidents, their place of occurrence and the configuration of the roundabout. The analysis was based on 321 incidents at 19 roundabouts. It is proposed to make changes to the existing classification of the accidents, using as a criterion the division not by the participants of the accident, but by the nature of the accident. The division of roundabouts into segments to detail the location of the accident allows for the conclusion about the nature of the accident and the impact of the structure of the roundabout on safety.
ONLINE TESTING OF STUDENTS AS PART OF THE PROMOTION OF ROAD SAFETY
Authors:   Orel State University, Andrei Vladimirovich Kulev , Ekaterina Mikhailovna Minaeva ,   Orel State University
Published: January 2023

The work is devoted to the assessment of knowledge on road safety issues among students of the I.S. Turgenev Orel State University based on online testing. The purpose of the work is to identify the most critical areas in the field of road safety for further disclosure in the framework of propaganda. Online testing was conducted on the basis of the Google online service-forms. The number of questions in the test is 41, the number of respondents is 598 people. The test results al-lowed us to form 5 enlarged groups of questions and identify a group of questions that cause the greatest problems for respondents.
ASPECTS OF DETERMINING PROBABILISTIC PARAMETERS OF CAR RELIABILITY IN REAL OPERATING CONDITIONS
Authors:   Lugansk State University, Konstantin Konstantinovich Panayotov
Published: January 2023

The article presents the results of the presentation and formation of the function of the technical condition of the car, taking into account the conditions of the probabilistic nature of the change in diagnostic parameters during the operation of the car in real conditions. The data of the study of the failure rate of the rolling stock fleet of a passenger automobile enterprise are presented.
ON-BOARD MONITORING OF THE TECHNICAL CONDITION OF STARTER BATTERIES
Authors:   Orenburg State University, Andrey Vladimirovich Puzakov
Published: January 2023

The analytical model of starter batteries state of function, which considers the change of output voltage parameters and electrolyte (ambient air) temperature, is worked out. The correlation between the success of starting the automobile engine and the state of function of batteries has been established.
(Ps.) Lúcio Aneu Cornuto. Epítome de Tradições Teológicas Gregas - Notas Introdutórias e Tradução. Parte 1
Authors: Troca Pereira Reina Marisol
Published: January 2023

Comum a várias figuras, o antropónimo Cornuto designa o reconhecido didata, gramático, escritor e crítico de poesia bizantino. A tradução disponibilizada atribuída a (Ps.) Lúcio Aneu Cornuto, Epítome de Tradições Teológicas Gregas, faz-se aqui preceder por algumas considerações sumárias. Abordam-se vários aspetos, designadamente fontes, estilo e transmissão do Livro. O estoico do século I estende a sua exposição etimológica e análise alegórica relativa a deuses e à mitologia tradicional grega a diversos aspetos culturais, como exegese da mitologia tradicional grega, helenização, língua, religião, filosofia(s), educação. Opúsculo ético, não se fundamenta em um naturalismo linguístico. Deixa em aberto mais do que uma etimologia, referindo perceções de vários poetas antigos expressas na forma de histórias mitológicas. Por ora, as considerações respeitantes a Cornuto e a obra em causa vertida em língua portuguesa seccionam-se em duas porções, seguindo neste número da publicação Rónai apenas a primeira parte da tradução.
Royauté et loi : de Platon aux Traités sur la royauté
Authors: Scrofani Francesca
Published: January 2023

L’étude porte sur l’ascendance platonicienne de l’expression du roi comme «loi vivante». Malgré cette ascendence, le roi et la loi de Platon et des Traités sur la royauté possèdent des légitimations différentes. Alors que chez Platon le roi est légitimé par son savoir, dans les Traités il l’est par la place qu’il occupe dans l’univers et par sa vertu. L’étude éclaire la manière dont les concepts ou les expressions platoniciennes changent de signification en gardant la même forme. Un examen des marques énonciatives des Traités confirme l’analyse et permet de formuler une hypothèse sur la fonction de ces textes.
La propriété de la terre à Sparte à l’époque classique. Essai de mise au point
Authors: Ducat Jean
Published: January 2023

L’article vise d’abord à dresser un état de la question. Deux visions s’affrontent : une propriété privée (Hodkinson) et le «système du klèros» (Figueira). Les textes pertinents sont étudiés d’abord en remontant le temps (Plutarque, Polybe), ensuite dans l’ordre chronologique : Xénophon, Platon et surtout Aristote, auteurs dont aucun ne présente la propriété comme égale et immuable. L’idée que chaque citoyen possédait au minimum un lot remontant à un partage originel apparaît, sous le nom d’archaia moira, dans un traité compilé au IIe siècle av. J.-C. à partir des Constitutions péripatéticiennes. C’est elle qui conduira au «système du klèros».
Comprehensive Metabolic Profiling and Genome-wide Analysis Reveal Therapeutic Modalities for Hepatocellular Carcinoma
Authors: Qi Feng , Li Jia , Qi Zhuoran , Zhang Jian , Zhou Bin , Yang Biwei , Qin Wenxing , Cui Wenguo , Xia Jinglin
Published: January 2023

Understanding the details of metabolic reprogramming in hepatocellular carcinoma (HCC) is critical to improve stratification for therapy. Both multiomics analysis and cross-cohort validation were performed to investigate the metabolic dysregulation of 562 HCC patients from 4 cohorts. On the basis of the identified dynamic network biomarkers, 227 substantial metabolic genes were identified and a total of 343 HCC patients were classified into 4 heterogeneous metabolic clusters with distinct metabolic characteristics: cluster 1, the pyruvate subtype, associated with upregulated pyruvate metabolism; cluster 2, the amino acid subtype, with dysregulated amino acid metabolism as the reference; cluster 3, the mixed subtype, in which lipid metabolism, amino acid metabolism, and glycan metabolism are dysregulated; and cluster 4, the glycolytic subtype, associated with the dysregulated carbohydrate metabolism. These 4 clusters showed distinct prognoses, clinical characteristics and immune cell infiltrations, which was further validated by genomic alterations, transcriptomics, metabolomics, and immune cell profiles in the other 3 independent cohorts. Besides, the sensitivity of different clusters to metabolic inhibitors varied depending on their metabolic features. Importantly, cluster 2 is rich in immune cells in tumor tissues, especially programmed cell death protein 1 (PD-1)-expressing cells, which may be due to the tryptophan metabolism disorders, and potentially benefiting more from PD-1 treatment. In conclusion, our results suggest the metabolic heterogeneity of HCC and make it possible to treat HCC patients precisely and effectively on specific metabolic characteristics.
Circular RNAs in Cardiovascular Diseases: Regulation and Therapeutic Applications
Authors: Wang Lijun , Xu Gui-e , Spanos Michail , Li Guoping , Lei Zhiyong , Sluijter Joost P. G. , Xiao Junjie
Published: January 2023

Cardiovascular disease is one of the leading causes of mortality worldwide. Recent studies have shown that circular RNAs (circRNAs) have emerged as important players in the prevention and treatment of cardiovascular diseases. circRNAs are a class of endogenous noncoding RNAs that are generated by back-splicing and are involved in many pathophysiological processes. In this review, we outline the current research progress on the regulatory roles of circRNAs in cardiovascular diseases. Further, new technologies and methods available for identifying, validating, synthesizing, and analyzing circRNAs, as well as their applications in therapeutics, are highlighted here. Moreover, we summarize the increasing insights into the potential use of circRNAs as circulating diagnostic and prognostic biomarkers. Finally, we discuss the prospects and challenges of circRNA therapeutic applications for cardiovascular disease therapy, with a particular focus on developing circRNA synthesis and engineering delivery systems.