bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficiency Assessment of Urban Road Networks Connecting Critical Node Pairs under Seismic Hazard
Authors: Miano Andrea , Civera Marco , Aloschi Fabrizio , De Biagi Valerio , Chiaia Bernardino , Parisi Fulvio , Prota Andrea
Published: August 2024

Building resilient infrastructure is at the core of sustainable development, as evidenced by the UN Sustainable Development Goal 9. In fact, the effective operation of road networks is crucial and strategic for the smooth functioning of a nation’s economy. This is also fundamental from a sustainability perspective, as efficient transportation networks reduce traffic, and thus, their environmental impact. However, road networks are constantly at risk of traffic closure and/or limitations due to a plurality of natural hazards. These environmental stressors, among other factors like aging and degradation of structural materials, negatively affect the disaster resilience of both single components and the system of road networks. However, the estimation of such resilience indices requires a broad multidisciplinary vision. In this work, a framework for application to large road networks is delineated. In the proposed methodology, seismic hazard is considered, and its corresponding impacts on road networks are evaluated. The assessment encompasses not only the road network system (including squares, roads, bridges, and viaducts) but also the buildings that are located in the urban area and interact with the network. In this context, the probability that buildings will suffer seismic-induced collapse and produce partial or total obstruction of roads is considered. This scheme is designed for implementation in different geographical contexts using geo-referenced data that include information about specific risks and alternative rerouting options. The proposed methodology is expected to support the mitigation of functionality loss in road networks after disasters, contributing to both the economic and social dimensions of sustainability. To evaluate the methodology, two case studies focusing specifically on hospital-to-hospital connections were conducted in Naples and Turin, Italy. However, the proposed approach is versatile and can be extended to other critical infrastructures, such as theatres, stadiums, and educational facilities.
Towards a Sustainable Property Tax System for Regional Development by Integrating the Antifragility Concept
Authors: Renigier-Bilozor Malgorzata , Źróbek-Różańska Alina , Janowski Artur
Published: August 2024

This study presents a novel approach for developing a sustainable property tax system, aimed at enhancing economic stability and promoting sustainable regional development. This research employs a phenomenological methodology, which includes a comprehensive review of the scientific and practical literature, and their critique and synthesis. The authors also draw on their experiences with the tax system transformation within their own country. This study explores the integration of a consensual governance approach and the concept of antifragility into the complex issue of property taxation. The primary objective is to design a property tax management model that not only fulfills its economic functions, but also fosters an antifragile taxpayer society, contributing to the creation of a resilient and socially cohesive community. The findings demonstrate that a consensual and transparent property tax system, actively involving local stakeholders in decision-making processes, not only reduces resistance to tax reforms but also strengthens a community’s ability to adapt to economic fluctuations. By integrating the principles of good governance and sustainable development, the proposed model promotes socio-economic stability and provides a flexible framework that can accommodate diverse stakeholders needs, ultimately benefiting the broader community through enhanced social cohesion and long-term sustainability.
The Influence of Tourism’s Spatiotemporal Heterogeneity on the Urban–Rural Relationship: A Case Study of the Beijing–Tianjin–Hebei Urban Agglomeration, China
Authors: Cong Yi , Zhai Yanxia , Dong Yubo , Zhao Zhilong , Yang Guang , Shen Hejiang
Published: August 2024

The urban–rural imbalance, a social problem shared globally, is seeing a turnaround as a result of changes in production patterns. Tourism can not only provide employment but also drive the development of related industries, which is an effective measure to solve the urban–rural dichotomy. Against this background, we take the Beijing-Tianjin-Hebei (BTH) urban agglomeration as a sample, uses new urbanization and rural revitalization as a criterion for measuring urban and rural development, and quantifies the degree of urban–rural coordinated (URC) value in the BTH urban agglomeration from 2010 to 2019 by using the coupled coordination degree model. After that, the geographically and temporally weighted regression (GTWR) model is used to analyze the impact of tourism on the URC. The results show that: (1) there are large gaps within the BTH urban agglomeration in terms of urban and rural development, and there may be a threshold effect for the URC; (2) the impact of tourism on the URC shows spatiotemporal heterogeneity and the highest degree of diversity is high-quality intangible cultural heritage resources; (3) the density of highways exerts a negative impact on the URC. Finally, based on the findings, tourism is as an anchoring point to provide policy guidance for sustainable urban–rural development.
Technosol Development Based on Residual Fraction of Coal Tailings Processing, Agro-Industrial Waste, and Paper Industry Waste
Authors: Olivo Eduarda Fraga , Zaccaron Alexandre , Acordi Juliana , Ribeiro Manuel Joaquim , Fernandes Élia Maria Raposo , Zocche Jairo José , Raupp-Pereira Fabiano
Published: August 2024

In order to obtain solutions to the coal mining region demand in southern Brazil for high-performance and low-cost technosols within a concept of mineral circularity and sustainable development of the coal sector, this study aims to evaluate the functional feasibility of the combined use of a residual fraction of coal tailing, waste from the rice and poultry agro-industry, as well as the cellulose industry, as raw materials for technosol development. Characterizations (XRF, LOI, ICP-OES, pH, XRD, and sulfur forms) were performed to adjust the waste proportions used in the constructed soil, as defined based on the clay content of the coal tailing, the organic carbon content of the poultry litter, and technical recommendations for the use of synthetic gypsum in agricultural soils. Based on the characterizations of the residues, a greenhouse experiment was designed, consisting of four technosol formulations (T1–T4). Initially, an ecotoxicity test was conducted with the treatments in contact with Allium cepa L. (onion) to determine the degree of technosol toxicity. Field tests were then carried out, which were replicated three times in a completely randomized block design, with the germination and growth of Lactuca sativa L. (crisp lettuce) as a bioindicator. The fertility of the treatments was analyzed eight weeks after the establishment of the experiment and compared to standard values for agricultural soils. The characterization performed with the individual wastes demonstrated the potential for application in technosols according to current regulations. The ecotoxicity tests showed that the soil was not toxic to the plant in any of the treatments studied. The field experiment demonstrated no difference in germination between the treatments. However, the development of lettuce seedlings occurred only in technosol formulations T2 and T3, highlighting the potential of the studied residues for the construction of technosols.
The Nexus between Green Supply Chain Management and Sustainability Performance in the Past Decade
Authors: Kamra Juhi , Mani Ambica Prakash , Sharma Manu , Joshi Sudhanshu
Published: August 2024

Purpose: considering the resource-based view, embracing green supply chain management (GSCM) influences a firm’s performance (FP). This study finds the nexus between GSCM and FP by analyzing the reporting trends among the authors, countries, and sources along with collaboration among countries and authors, the emerging topics, and different themes in this field with their impact, centrality, and density. Lastly, it probes into the different methodologies, affiliating concepts, influencers, drivers, and impacts of GSCM through content analysis. Design/methodology/approach: this paper spotted 1518 documents narrowed down to 938, pertinent to GSCM and performance, utilizing the Scopus database. It uses sources, authors, word analysis, coupling, network analysis of keywords, social structure, and conceptual structure analysis in the Biblioshiny package of Rstudio (Version 4.4.0) to identify the progress in the fields spanning through the decade (2014–2023). Moreover, content analysis has been used to study the concepts and contexts of different themes identified through thematic analysis. Findings: the study found Journal of cleaner production in sources, Sarkis in authors, and China in countries to have the highest no. of documents. Closed-loop, digital, and circular supply chains and Industry 4.0 have been identified as the trending topics. Moreover, the key themes identified are (1) Supply Chain Optimization Models for Sustainability, (2) Affiliating concepts to, and the relationship between, Sustainable Supply Chain Strategies and TBL Performance in Manufacturing Sectors of Developing Countries, (3) Life Cycle Analysis of Natural-Resource Based Supply Chains for Sustainability Assessment on TBL, and (4) Factors Influencing and Performances Impacted by GSCM. Originality/Value: this research adds to the previous literature by analyzing both the concepts of GSCM and FP collectively, and finding new themes in between their intersection. Implications: it will direct future researchers in choosing the right theme, methodology, intervening variables, affiliating concepts, and country and author collaboration for the fields related to GSCM and FP.
Assessment of Energy Efficiency Projects at Russian Mining Enterprises within the Framework of Sustainable Development
Authors: Nevskaya Marina A. , Raikhlin Semen M. , Chanysheva Amina F.
Published: August 2024

The mining industry is a basic sector of the Russian economy. Sustainable Development Goals appear in the strategies of mining companies and are ensured, inter alia, by increasing the energy efficiency of enterprises and plants within their structure through the implementation of projects. The lack of generally accepted criteria for assessing energy efficiency determines the need to develop a methodology that would allow taking into account the contribution of the results of projects of different scales and levels of implementation to improve the energy efficiency of the mining enterprise and the company as a whole. The purpose of the study is to develop a methodology for the comprehensive assessment of projects aimed at improving the energy efficiency of mining enterprises in the context of sustainable development. The research method is based on establishing a logical relationship between the goals of sustainable development, the principles of the “energy trilemma”, criteria and results of the implementation of projects aimed at improving the energy efficiency of the mining enterprise, taking into account the systematization of these projects. The authors develop a methodology for assessing projects related to the energy efficiency of mining enterprises. The methodology is based on a two-level system of criteria: the first-level criteria characterize the degree of realization of project objectives in accordance with the goals of sustainable development and the principles of the “energy trilemma”. The first-level criteria consist of the following: economic efficiency, ecological performance, reliability and safety, and flexibility. The second-level criteria characterize the economic results of the project based on the assessment of its economic efficiency. In order to provide a comprehensive economic assessment of various project outcomes, a set of indicators is proposed. The assessment of this methodology has been tested using the example of projects implemented at the mining enterprise “Albazinsky GOK” (mining and processing complex). Implementation of a comprehensive project, including the transition to a centralized power supply source, installation of a wind generator, photovoltaic installation, and energy storage system, will allow the enterprise to reduce CO2 emissions by 100% and increase the flexibility of the enterprise’s power system by 33%. The economic effect will amount to RUB 1252.5 mln (due to savings on electricity costs). The obtained results can be used by managers of mining companies to select and assess projects aimed at improving energy efficiency.
Analysis of Power Conversion System Options for ARC-like Tokamak Fusion Reactor Balance of Plant
Authors: Colliva Francesco , Ciurluini Cristiano , Iaboni Andrea , Centomani Giulia Valeria , Trotta Antonio , Giannetti Fabio
Published: August 2024

In recent years, fusion energy has assumed an important role in the energy scenario, being a sustainable, environmentally friendly, and practically inexhaustible energy source. Fusion energy could play a crucial role in fully decarbonized electricity production in the second half of this century, helping to meet the increasing energy demand. One of the studied reactors is ARC, a tokamak fusion device characterized by a compact and high-field design initially conceived by researchers at the Massachusetts Institute of Technology, which the Commonwealth Fusion System (CFS) plans to construct in the next decade. This paper is focused on the analysis and development of different configurations for the ARC Balance of Plant Power Conversion System, with the aim of improving the thermodynamic efficiency, which is one of the pillars of sustainability. Three cycles were studied by using the General Electric GateCycleTM software: a supercritical steam Rankine cycle, a supercritical CO2 Brayton cycle, and a supercritical helium Brayton cycle. The thermal efficiency of the three options was compared to select the most promising solution. The results showed that the supercritical steam cycle is the best configuration in terms of cycle efficiency for the ARC FNSF Pilot phase.
Impact of Environmental, Social, and Governance on Innovation in Chinese Listed Firms
Authors: Wu Renhong , Li Jinbao , Dai Yunhai , Shen Xiangdong , Hossain Md. Alamgir
Published: August 2024

As awareness of sustainable development has increased, the corporate advantages of ESG (environmental, social, and governance) have attracted widespread attention from investors, and research has demonstrated that ESG has a sustained impact on long-term business operations. At this new stage of market development, the relationship between ESG rating performance and corporate innovation is worthy of in-depth study. The effect of corporate ESG rating performance on innovation based on stakeholder theory was tested using data from Chinese A-share listed companies from 2009 to 2021. The results show that ESG rating performance can significantly improve corporate innovative output and R&D (research and development) investment. This promotional effect is more significant in large enterprises, state-owned enterprises, and companies in the eastern region of China. ESG rating performance promotes corporate innovation by improving firm financial performance and expanding internationalization. In addition, ESG rating performance not only increases the quantity of innovative output, but also helps to improve the quality of R&D investment. ESG strategy, standardized and mandatory disclosure of information pertaining to ESG, improved quality of information disclosed, and promotion of corporate innovation are all necessary to help enterprises develop in this new era.
Expanding the Concept of Sustainable Interaction Design: A Systematic Review
Authors: Besana Nicola , Krogh Peter Gall , Petersen Marianne Graves , Spallazzo Davide
Published: August 2024

This paper presents a systemic literature review of Sustainable Interaction Design. We use the PRISMA model to guide the review. In the analysis of the identified papers, we identify an emergent and significant shift in the discourse on Sustainable Interaction Design from its original introduction in 2007. The shift in discourse concerns extensions both in the methodology as well as the impact, which is oddly underexplored. Regarding the methodology, we found that the objectives of sustainability are pursued by the concrete features of designed artifacts or through the use impact of design and that the design contains a process of learning for all participating parties, captured in the notion of sustainability in designing. By complementing this with the pursued impact of social, environmental, and economic sustainability, we point to where the current research tends to cluster, which areas are underexplored, and, thus, where new research agendas are needed. Here, the limited interest in studying how Interaction Design fosters sustainability while including an economic perspective stands out. In the concluding parts of this paper, we propose future research trajectories of SID and speculate and discuss opportunities and challenges for future research.
Enhancing Underwater Object Detection and Classification Using Advanced Imaging Techniques: A Novel Approach with Diffusion Models
Authors: Pachaiyappan Prabhavathy , Chidambaram Gopinath , Jahid Abu , Alsharif Mohammed H.
Published: August 2024

Underwater object detection and classification pose significant challenges due to environmental factors such as water turbidity and variable lighting conditions. This research proposes a novel approach that integrates advanced imaging techniques with diffusion models to address these challenges effectively, aligning with Sustainable Development Goal (SDG) 14: Life Below Water. The methodology leverages the Convolutional Block Attention Module (CBAM), Modified Swin Transformer Block (MSTB), and Diffusion model to enhance the quality of underwater images, thereby improving the accuracy of object detection and classification tasks. This study utilizes the TrashCan dataset, comprising diverse underwater scenes and objects, to validate the proposed method’s efficacy. This study proposes an advanced imaging technique YOLO (you only look once) network (AIT-YOLOv7) for detecting objects in underwater images. This network uses a modified U-Net, which focuses on informative features using a convolutional block channel and spatial attentions for color correction and a modified swin transformer block for resolution enhancement. A novel diffusion model proposed using modified U-Net with ResNet understands the intricate structures in images with underwater objects, which enhances detection capabilities under challenging visual conditions. Thus, AIT-YOLOv7 net precisely detects and classifies different classes of objects present in this dataset. These improvements are crucial for applications in marine ecology research, underwater archeology, and environmental monitoring, where precise identification of marine debris, biological organisms, and submerged artifacts is essential. The proposed framework advances underwater imaging technology and supports the sustainable management of marine resources and conservation efforts. The experimental results demonstrate that state-of-the-art object detection methods, namely SSD, YOLOv3, YOLOv4, and YOLOTrashCan, achieve mean accuracies (mAP@0.5) of 57.19%, 58.12%, 59.78%, and 65.01%, respectively, whereas the proposed AIT-YOLOv7 net reaches a mean accuracy (mAP@0.5) of 81.4% on the TrashCan dataset, showing a 16.39% improvement. Due to this improvement in the accuracy and efficiency of underwater object detection, this research contributes to broader marine science and technology efforts, promoting the better understanding and management of aquatic ecosystems and helping to prevent and reduce the marine pollution, as emphasized in SDG 14.
Flood Susceptibility Assessment in Urban Areas via Deep Neural Network Approach
Authors: Panfilova Tatyana , Kukartsev Vladislav , Tynchenko Vadim , Tynchenko Yadviga , Kukartseva Oksana , Kleshko Ilya , Wu Xiaogang , Malashin Ivan
Published: August 2024

Floods, caused by intense rainfall or typhoons, overwhelming urban drainage systems, pose significant threats to urban areas, leading to substantial economic losses and endangering human lives. This study proposes a methodology for flood assessment in urban areas using a multiclass classification approach with a Deep Neural Network (DNN) optimized through hyperparameter tuning with genetic algorithms (GAs) leveraging remote sensing data of a flood dataset for the Ibadan metropolis, Nigeria and Metro Manila, Philippines. The results show that the optimized DNN model significantly improves flood risk assessment accuracy (Ibadan-0.98) compared to datasets containing only location and precipitation data (Manila-0.38). By incorporating soil data into the model, as well as reducing the number of classes, it is able to predict flood risks more accurately, providing insights for proactive flood mitigation strategies and urban planning.
A Dispatch Strategy for the Analysis of the Technical, Economic, and Environmental Performance of a Hybrid Renewable Energy System
Authors: Köprü Mehmet Ali , Öztürk Dursun , Yıldırım Burak
Published: August 2024

The use of renewable energy sources (RESs) is increasing every day to meet increasing energy demands and reduce dependence on fossil fuels. When designing hybrid renewable energy systems (HRESs), it is necessary to examine their technical, economic, and environmental feasibility. In this study, a new strategy is proposed using the HOMER Matlab Link (ML) connection for an HRES model consisting of a photovoltaic (PV) system, a wind turbine (WT), a biogas generator (BGG), and a battery storage system (BSS) designed to meet the electrical energy needs of Doğanevler village located in the rural area of Bingöl province. The data obtained as a result of the proposed strategy (PS) are compared with HOMER’s loop charging (CC) and load following (LF) optimization results. According to the PS, the optimum capacity values for the HRES components are 10 kW for WT, 10 kW for PV, 8 kW for BGG, 12 kWh for BSS, and 12 kW for the converter. According to the optimum design, 16,205 kWh of the annual energy produced was generated by PV systems, 22,927 kWh by WTs, and 22,817 kWh by BGGs. This strategy’s NPC and LCOE (Levelized Cost of Energy) values are calculated as USD 130,673.91 and USD 0.207/kWh, respectively. For the CC dispatch strategy, the NPC and LCOE values are calculated as USD 141,892.28 and USD 0.240/kWh, while for the LF dispatch strategy, these values are USD 152,456.89 and USD 0.257/kWh. The CO2 emission value for the system using a BGG was calculated as 480 kg/year, while for the system using a DG, this value increased approximately 57 times and was calculated to be 27,709 kg/year. The results show that the PS is more economical than the other two strategies. The PS provides energy security, reduces costs, and increases environmental sustainability. Finally, a sensitivity analysis was conducted based on the availability of renewable resources, fuel cost, and inflation parameters, and the results were analyzed.
Empowering London Primary School Communities to Know and Tackle Air Pollution Exposure
Authors: Otu Ekpo , Ashworth Kirsti , Tsekleves Emmanuel , Ackley Aniebietabasi
Published: August 2024

This study tested the effectiveness of participatory methods to engage primary school communities in London with air pollution issues to help them identify, understand, and reduce their air pollution exposure. Three primary schools with high pollution levels participated in environmental educational activities, including air quality workshops and field campaigns involving different methods, time schedules, and project scopes. Participants completed surveys before and after these activities to measure their understanding, perceptions, and behavior. After the workshops, students admitted feeling more skillful in monitoring air quality and confident in incorporating this education into daily life and teaching others. They shared their results with peers, school leadership, and the community and led campaigns to help design experiments, choose measurement locations, and reduce air pollution exposure in schools. The results showed increased concern about air pollution, a better understanding of its causes and impacts, and more reported reduction behaviors. An Air Pollution Exposure Index (APEI) was combined with participatory monitoring data to raise awareness and understanding among students on typical school-day exposure. Feedback indicates that the tool was useful in defining air pollution exposure status and identifying exposure risks. Overall, this study contributes to the evidence of the feasibility and impact of student-led environmental education interventions These interventions involve collecting personalized exposure data, co-planning mitigations with school community groups, and employing methods to raise awareness of air pollution and empower pupils to identify potential solutions and change behaviors.
Obsolete Mining Buildings and the Circular Economy on the Example of a Coal Mine from Poland—Adaptation or Demolition and Building Anew?
Authors: Ostręga Anna , Szewczyk-Świątek Anna , Cała Marek , Dybeł Piotr
Published: August 2024

During the energy transition period and the increased supply of developed land, an analysis was conducted on the economic viability of transforming post-mining buildings. This study sought to answer the following questions: Does the circular economy create new conditions for adapting these specific industrial facilities? Should mining buildings be adapted or should they be demolished and built anew? The objectives of the article were to perform a comparative analysis (financial, environmental, and social) of these alternatives and to develop a decision-making model for managing obsolete mining facilities using circular economy principles. Decision-making regarding mining buildings should occur as part of revitalising post-mining areas. Consequently, the method used was research through design followed by comparative analyses: financial, environmental, and social. As a result, the study demonstrated the potential for adapting buildings on a defunct mining site, mainly compressor and fan station. The financial, environmental, and social profitability of investing in the adaptive reuse of historic buildings was established. The entire process was encapsulated in a universal decision-making model. The analytical results presented in the article indicate that mining buildings represent a significant resource in a circular economy and their adaptation should be prioritised.
Enhancing Traffic Efficiency and Sustainability through Strategic Placement of Roadside Units and Variable Speed Limits in a Connected Vehicle Environment
Authors: Bhattacharyya Kinjal , Laharotte Pierre-Antoine , Fauchet Eleonore , Blache Hugues , El Faouzi Nour-Eddin
Published: August 2024

With the deployment of cooperative intelligent transportation systems (C-ITSs), the telecommunication systems and their performance occupy a key position in ensuring safe, robust, and resilient services to the end-users. Regardless of the adopted protocol, adequate road network coverage might affect the service performance, in terms of traffic and environmental efficiency. In this study, we analyze the traffic efficiency and emission pollutant sensitivity to the location of ad hoc network antennas when the C-ITS services disseminate dynamic messages to control the speed limit and ensure sustainable mobility. We design the experimentation with short-range communication resulting from an ad hoc network and requiring Roadside Units (RSUs) along the road to broadcast messages within their communication range to the end-user. The performance variability according to the RSUs’ location and effective road network coverage are highlighted through our microscopic simulation-based experimentations. This paper develops a sensitivity analysis to evaluate the impact of the network mesh according to the C-ITS service under consideration. Focus is placed on the variable speed limit (VSL) service, controlling upstream speed to restrict congestion and ensure more sustainable mobility. The results show that, while the traffic efficiency improves even at a low market penetration rate (MPR) of the connected vehicles, the environmental efficiency improves only at a high MPR. From the telecommunication perspective, an expansive broadcast strategy appears to be more effective than the conservative approach.
The Impact of Digitalization on Industrial Engineering Students’ Training from the Perspective of Their Insertion in the Labor Market in a Sustainable Economy: A Students’ Opinions Survey
Authors: Raveica Ionel Crinel , Olaru Ionel , Herghelegiu Eugen , Tampu Nicolae Catalin , Radu Maria-Crina , Chirita Bogdan Alexandru , Schnakovszky Carol , Ciubotariu Vlad Andrei
Published: August 2024

The paper presents the results of a survey conducted among a total of 155 industrial engineering students from a Romanian public university to assess their awareness and concern about the facts and challenges imposed by the ongoing digital transformation. The study is based on a statistical analysis of the answers obtained from a questionnaire that contained closed-ended questions with predefined answers and open-ended questions where the respondents could express a personal point of view. Understanding the students’ needs and expectations, as well as the impact of the digital transition on their professional training and integration in a sustainable economy, will serve as a background upon which the quality of study programs can be improved by implementing appropriate measures. The results highlighted the necessity to supplement the curriculum with specialized courses in emerging technologies, to intensify students’ counseling on the digital transition, to upgrade the university’s infrastructure with equipment and software in the field of emerging technologies, to assist students with insufficient resources, and to stimulate women to participate in skilling, upskilling, and reskilling programs in STEM fields. These changes will expand the sustainable development principles in formal university education, ensure competency-centered learning, and increase access to inclusive and quality education.
Simulation Optimization of Station-Level Control of Large-Scale Passenger Flow Based on Queueing Network and Surrogate Model
Authors: Wang Wei , Ji Yindong , Zhao Zhonghao , Yin Haodong
Published: August 2024

Urban rail transit encounters supply–demand contradictions during peak hours, seriously affecting passenger experience. Therefore, it is necessary to explore and optimize passenger-flow control strategies for urban rail transit stations during peak hours. However, current research mostly focuses on passenger-flow control at the network level, and there is insufficient exploration of specific operational strategies at the station level. At the same time, the microscopic simulation model for passenger-flow control at the station level faces the challenge of balancing efficiency and accuracy. This paper presents a simulation optimization approach to optimize the station-level passenger-flow controlling measures, based on a queueing network and surrogate model, aiming to improve throughput, minimize congestion, and enhance passenger experience. The first stage of the method modeled the urban railway station using queueing network theory and multi-agent theory, and then built a mesoscale simulation model that was based on an urban railway station. In the second stage, a passenger flow management and control model for ingress flow was established by combining the Kriging model with a queuing network model, and the particle swarm optimization algorithm was used to solve the model. On this basis, a simulation optimization method for station passenger-flow control was established. Finally, we conducted an example analysis of Zhongguancun Station on the Beijing subway. By comparing the simulation results before and after control, as well as comparing the optimal control scheme obtained by this method with the results of other control schemes, the results showed that the simulation optimization method proposed in this paper can propose an optimal passenger-flow control scheme. By using this method, stations can significantly enhance sustainability. For example, the method not only saves human resources but also effectively avoids or reduces congestion, boosting passenger travel efficiency and safety. By minimizing wait times, these methods lower energy consumption and support the sustainable development of public transportation systems, contributing to more sustainable urban environments.
Dual-Credit Policy of New Energy Automobiles in China: Corporate Innovation Capability
Authors: Gary Joston , Zhao Pengfei , Bao Zhihao
Published: August 2024

This study investigates the impact of China’s Dual-Credit Policy on innovation capability in the new energy vehicle (NEV) industry using a difference-in-differences approach with dynamic panel data from 2013 to 2022. We employ multiple innovation measures, including patent counts, valid invention patents, and patent grant rates. Our findings reveal that the policy has a positive and significant effect on NEV innovation, partially mediated by R&D investment. Using GMM estimation to address endogeneity, we find the policy effect varies across subgroups based on location, ESG rating, and ownership type. Dynamic effect analysis shows the policy’s impact intensifies over time. Threshold effect analysis identifies a critical policy intensity level beyond which innovation effects are amplified. Our results have implications for policymakers in designing effective innovation incentives and for firms in strategically responding to regulatory changes in the NEV sector.
A Novel Discrete Linear-Exponential Distribution for Modeling Physical and Medical Data
Authors: Al-Harbi Khlood , Fayomi Aisha , Baaqeel Hanan , Alsuraihi Amany
Published: August 2024

In real-life data, count data are considered more significant in different fields. In this article, a new form of the one-parameter discrete linear-exponential distribution is derived based on the survival function as a discretization technique. An extensive study of this distribution is conducted under its new form, including characteristic functions and statistical properties. It is shown that this distribution is appropriate for modeling over-dispersed count data. Moreover, its probability mass function is right-skewed with different shapes. The unknown model parameter is estimated using the maximum likelihood method, with more attention given to Bayesian estimation methods. The Bayesian estimator is computed based on three different loss functions: a square error loss function, a linear exponential loss function, and a generalized entropy loss function. The simulation study is implemented to examine the distribution’s behavior and compare the classical and Bayesian estimation methods, which indicated that the Bayesian method under the generalized entropy loss function with positive weight is the best for all sample sizes with the minimum mean squared errors. Finally, the discrete linear-exponential distribution proves its efficiency in fitting discrete physical and medical lifetime count data in real-life against other related distributions.
Study on Shoulder Joint Parameters and Available Supraspinatus Outlet Area Using Three-Dimensional Computed Tomography Reconstruction
Authors: Chen Xi , Liang Tangzhao , Yin Xiaopeng , Liu Chang , Ren Jianhua , Su Shouwen , Jiang Shihai , Wang Kun
Published: August 2024

Studies addressing the anatomical values of the supraspinatus outlet area (SOA) and the available supraspinatus outlet area (ASOA) are insufficient. This study focused on precisely measuring the SOA and ASOA values in a sample from the Chinese population using 3D CT (computed tomography) reconstruction. We analyzed CT imaging of 96 normal patients (59 males and 37 females) who underwent shoulder examinations in a hospital between 2011 and 2021. The SOA, ASOA, acromiohumeral distance (AHD), coracohumeral distance (CHD), coracoacromial arch radius (CAR), and humeral head radius (HHR) were estimated, and statistical correlation analyses were performed. There were significant sex differences observed in SOA (men: 957.62 ± 158.66 mm2; women: 735.87 ± 95.86 mm2) and ASOA (men: 661.35 ± 104.88 mm2; women: 511.49 ± 69.26 mm2), CHD (men: 11.22 ± 2.24 mm; women: 9.23 ± 1.35 mm), CAR (men: 37.18 ± 2.70 mm; women: 33.04 ± 3.15 mm), and HHR (men: 22.65 ± 1.44 mm; women: 20.53 ± 0.95 mm). Additionally, both SOA and ASOA showed positive and linear correlations with AHD, CHD, CAR, and HHR (R: 0.304–0.494, all p < 0.05). This study provides physiologic reference values of SOA and ASOA in the Chinese population, highlighting the sex differences and the correlations with shoulder anatomical parameters.
Aligning Post-Column ESI-MS, MALDI-MS, and Coagulation Bioassay Data of Naja spp., Ophiophagus hannah, and Pseudonaja textillis Venoms Chromatographically to Assess MALDI-MS and ESI-MS Complementarity with Correlation of Bioactive Toxins to Mass Spectrometric Data
Authors: Xu Haifeng , El-Asal Susan , Zakri Hafsa , Mutlaq Rama , Krikke Natascha T. B. , Casewell Nicholas R. , Slagboom Julien , Kool Jeroen
Published: August 2024

Snakebite is a serious health issue in tropical and subtropical areas of the world and results in various pathologies, such as hemotoxicity, neurotoxicity, and local swelling, blistering, and tissue necrosis around the bite site. These pathologies may ultimately lead to permanent morbidity and may even be fatal. Understanding the chemical and biological properties of individual snake venom toxins is of great importance when developing a newer generation of safer and more effective snakebite treatments. Two main approaches to ionizing toxins prior to mass spectrometry (MS) analysis are electrospray ionization (ESI) and matrix-assisted laser desorption ionization (MALDI). In the present study, we investigated the use of both ESI-MS and MALDI-MS as complementary techniques for toxin characterization in venom research. We applied nanofractionation analytics to separate crude elapid venoms using reversed-phase liquid chromatography (RPLC) and high-resolution fractionation of the eluting toxins into 384-well plates, followed by online LC-ESI-MS measurements. To acquire clear comparisons between the two ionization approaches, offline MALDI-MS measurements were performed on the nanofractionated toxins. For comparison to the LC-ESI-MS data, we created so-called MALDI-MS chromatograms of each toxin. We also applied plasma coagulation assaying on 384-well plates with nanofractionated toxins to demonstrate parallel biochemical profiling within the workflow. The plotting of post-column acquired MALDI-MS data as so-called plotted MALDI-MS chromatograms to directly align the MALDI-MS data with ESI-MS extracted ion chromatograms allows the efficient correlation of intact mass toxin results from the two MS-based soft ionization approaches with coagulation bioassay chromatograms. This facilitates the efficient correlation of chromatographic bioassay peaks with the MS data. The correlated toxin masses from ESI-MS and/or MALDI-MS were all around 6–8 or 13–14 kDa, with one mass around 20 kDa. Between 24 and 67% of the toxins were observed with good intensity from both ionization methods, depending on the venom analyzed. All Naja venoms analyzed presented anticoagulation activity, whereas pro-coagulation was only observed for the Pseudonaja textillis venom. The data of MALDI-MS can provide complementary identification and characterization power for toxin research on elapid venoms next to ESI-MS.
Extracellular Vesicle Inhibitors Enhance Cholix-Induced Cell Death via Regulation of the JNK-Dependent Pathway
Authors: Ozaki Kazuya , Nagahara Hiyo , Kawamura Asaka , Ohgita Takashi , Higashi Sachika , Ogura Kohei , Tsutsuki Hiroyasu , Iyoda Sunao , Yokotani Atsushi , Yamaji Toshiyuki , Moss Joel , Yahiro Kinnosuke
Published: August 2024

Vibrio cholerae is an important foodborne pathogen. Cholix cytotoxin (Cholix), produced by V. cholerae, is a novel eukaryotic elongation factor 2 (eEF2) adenosine diphosphate ribosyltransferase that causes host cell death by inhibiting protein synthesis. However, the role of Cholix in the infectious diseases caused by V. cholerae remains unclear. Some bacterial cytotoxins are carried by host extracellular vesicles (EVs) and transferred to other cells. In this study, we investigated the effects of EV inhibitors and EV-regulating proteins on Cholix-induced hepatocyte death. We observed that Cholix-induced cell death was significantly enhanced in the presence of EV inhibitors (e.g., dimethyl amiloride, and desipramine) and Rab27a-knockdown cells, but it did not involve a sphingomyelin-dependent pathway. RNA sequencing analysis revealed that desipramine, imipramine, and EV inhibitors promoted the Cholix-activated c-Jun NH2-terminal kinase (JNK) pathway. Furthermore, JNK inhibition decreased desipramine-enhanced Cholix-induced poly (ADP-ribose) polymerase (PARP) cleavage. In addition, suppression of Apaf-1 by small interfering RNA further enhanced Cholix-induced PARP cleavage by desipramine. We identified a novel function of desipramine in which the stimulated JNK pathway promoted a mitochondria-independent cell death pathway by Cholix.
Mycobacterium tuberculosis and HIV Co-Infection: A Public Health Problem That Requires Ongoing Attention
Authors: Shen Yinzhong
Published: August 2024

According to the World Health Organization’s (WHO) 2023 Global Tuberculosis Report, in 2022, HIV-positive tuberculosis cases accounted for 6 [...]
Detection and Monitoring of Highly Pathogenic Influenza A Virus 2.3.4.4b Outbreak in Dairy Cattle in the United States
Authors: Giménez-Lirola Luis G. , Cauwels Brooklyn , Mora-Díaz Juan Carlos , Magtoto Ronaldo , Hernández Jesús , Cordero-Ortiz Maritza , Nelli Rahul K. , Gorden Patrick J. , Magstadt Drew R. , Baum David H.
Published: August 2024

The emergence and spread of highly pathogenic avian influenza virus A subtype H5N1 (HP H5N1-IAV), particularly clade H5N1 2.3.4.4b, pose a severe global health threat, affecting various species, including mammals. Historically, cattle have been considered less susceptible to IAV, but recent outbreaks of H5N1-IAV 2.3.4.4b in dairy farms suggest a shift in host tropism, underscoring the urgency of expanded surveillance and the need for adaptable diagnostic tools in outbreak management. This study investigated the presence of anti-nucleoprotein (NP) antibodies in serum and milk and viral RNA in milk on dairy farms affected by outbreaks in Texas, Kansas, and Michigan using a multi-species IAV ELISA and RT-qPCR. The analysis of ELISA results from a Michigan dairy farm outbreak demonstrated a positive correlation between paired serum and milk sample results, confirming the reliability of both specimen types. Our findings also revealed high diagnostic performance during the convalescent phase (up to 96%), further improving sensitivity through serial sampling. Additionally, the evaluation of diagnostic specificity using serum and milk samples from IAV-free farms showed an excellent performance (99.6%). This study underscores the efficacy of the IAV NP-blocking ELISA for detecting and monitoring H5N1-IAV 2.3.4.4b circulation in dairy farms, whose recent emergence raises significant animal welfare and zoonotic concerns, necessitating expanded surveillance efforts.
AP3B1 Has Type I Interferon-Independent Antiviral Function against SARS-CoV-2
Authors: Subramanian Gayatri , Hage Adam , Feldmann Friederike , Chiramel Abhilash I. , McNally Kristin L. , Sturdevant Gail L. , Beare Paul A. , Best Sonja M.
Published: August 2024

The unprecedented research effort associated with the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) included several extensive proteomic studies that identified host proteins that interact with individual viral gene products. However, in most cases, the consequences of those virus–host interactions for virus replication were not experimentally pursued, which is a necessary step in determining whether the interactions represent pro- or anti-viral events. One putative interaction commonly identified in multiple studies was between the host adaptor protein complex 3 (AP-3) subunit B1 (AP3B1) and the SARS-CoV-2 envelope protein (E). AP3B1 is one subunit of AP-3 required for the biogenesis of lysosomal-related organelles (LROs), and its function impacts important disease processes including inflammation and vascular health. Thus, interactions between AP3B1 and SARS-CoV-2 might influence the clinical outcomes of infection. To determine if AP3B1 has a role in the SARS-CoV-2 replication cycle, we first confirmed the interaction in virus-infected cells using immunoprecipitation (IP) and immunofluorescence assays (IFA). AP3B1 is required by multiple viruses to aid in the replication cycle and therefore may be a therapeutic target. However, we found that the overexpression of AP3B1 suppressed SARS-CoV-2 replication, whereas the siRNA-mediated depletion of AP3B1 increased the release of infectious virus, suggesting an antiviral role for AP3B1. Together, our findings suggest that AP3B1 is an intrinsic barrier to SARS-CoV-2 replication through interactions with the viral E protein. Our work justifies further investigations of LRO trafficking in SARS-CoV-2 target cells and their role in viral pathogenesis.
Codon Usage Analysis Reveals Distinct Evolutionary Patterns and Host Adaptation Strategies in Duck Hepatitis Virus 1 (DHV-1) Phylogroups
Authors: Zhao Yongwang , Su Xiaojian , He Dongchang
Published: August 2024

Duck hepatitis virus 1 (DHV-1) is a major threat to the global poultry industry, causing significant economic losses due to high mortality rates in young ducklings. To better understand the evolution and host adaptation strategies of DHV-1, we conducted a comprehensive codon usage analysis of DHV-1 genomes. Our phylogenetic analysis revealed three well-supported DHV-1 phylogroups (Ia, Ib, and II) with distinct genetic diversity patterns. Comparative analyses of the codon usage bias and dinucleotide abundance uncovered a strong preference for A/U-ended codons and a biased pattern of dinucleotide usage in the DHV-1 genome, with CG dinucleotides being extremely underrepresented. Effective number of codons (ENC) analysis indicated a low codon usage bias in the DHV-1 ORF sequences, suggesting adaptation to host codon usage preferences. PR2 bias, ENC plot, and neutrality analyses revealed that both mutation pressure and natural selection influence the codon usage patterns of DHV-1. Notably, the three DHV-1 phylogroups exhibited distinct evolutionary trends, with phylogroups Ia and Ib showing evidence of neutral evolution accompanied by selective pressure, while the phylogroup II evolution was primarily driven by random genetic drift. Comparative analysis of the codon usage indices (CAI, RCDI, and SiD) among the phylogroups highlighted significant differences between subgroups Ia and Ib, suggesting distinct evolutionary pressures or adaptations influencing their codon usage. These findings contribute to our understanding of DHV-1 evolution and host adaptation, with potential implications for the development of effective control measures and vaccines.