bluuebunny/crossref_metadata_2025 huggingface dataset:
The Well-Being of Rural Elderly Surrounding Chinese Megacities: A Case Study of Xi’an, Shaanxi
Authors: Zheng Qing , Lei Min , Zhao Jiayao , Jiang Xingyue , Liu Hong
Published: January 2025

Chinese rural elderly care services face challenges such as low levels of pensions and social security, as well as high proportions of the elderly living alone and those who are incapacitated and lack assistance. The rural elderly surrounding megacities have been more significantly impacted by urbanization (with relatives moving away to the megacities for jobs) than in other areas, so the well-being of this particular group deserves even more attention. However, existing major studies in China are mainly limited to those in need in specific regions, and there is little research on the well-being of special age groups. To fill the research gap, this study constructs an indicator system for the well-being assessment with five dimensions and explores the well-being of the rural elderly surrounding Xi’an and its obstacles using questionnaire data. The results indicate that (1) the well-being index of the rural elderly surrounding Xi’an in each dimension, in descending order, are medical health, spiritual fulfillment (the pursuit of the spiritual world of the elderly and their desire for a better life), quality of life, social relationships, and economic income status; (2) the comprehensive well-being of the rural elderly varies considerably in the northern counties and districts of Xi’an, and is relatively low in the south; and (3) spiritual fulfillment and medical health are the main obstacles to the improvement of well-being of the rural elderly surrounding Xi’an. Based on these findings, corresponding policy implications are proposed on the five dimensions of well-being, such as improving the rural social old-age insurance and medical insurance systems, providing old-age support for the families of the rural elderly, establishing a model of village old-age care, and promoting the rural habitation renovation, to provide guarantees for the improvement of the well-being of the rural elderly surrounding megacities.
Comparison of Lichen and Moss Transplants for Monitoring the Deposition of Airborne Microfibers
Authors: Grifoni Lisa , Jafarova Mehriban , La Colla Noelia S. , Aherne Julian , Raulli Alessio , Loppi Stefano
Published: January 2025

Interest in using lichens and mosses to monitor airborne microplastics is growing, but few studies have thoroughly compared their effectiveness as biomonitors. Here, we directly compare the ability of lichen and moss transplants collected from a rural area to accumulate microfibers (MFs) and Potentially Toxic Elements (PTEs) under the same deployment conditions. Transplants (n = 60; triplicates for both lichen and moss) were co-deployed on tree branches across a range of urban exposure sites (e.g., commercial and residential areas and urban parks) for 77 days in Siena, Italy. The results showed that both biomonitors accumulated similar amounts of MFs, in terms of counts and on a mass basis, but when expressed on a surface area basis, lichens showed significantly higher values. Irrespective of the metric, lichen and moss MF accumulation data were strongly correlated. In contrast, there was no correlation between MFs and PTEs, suggesting that their sources were different. MFs accumulated by lichen and moss transplants were dominated by polyethylene terephthalate (PET) and polypropylene polymers, suggesting that the main source of airborne MFs is synthetic textiles. Our results suggest that both lichen and moss transplants can be effectively used as low-cost monitors of atmospheric MFs in urban areas in support of the sustainable development goal of clean air.
Research on Positioning and Tracking Method of Intelligent Mine Car in Underground Mine Based on YOLOv5 Algorithm and Laser Sensor Fusion
Authors: Zhang Linxin , Li Xiaoquan , Sun Yunjie , Liu Junhong , Xu Yonghe
Published: January 2025

Precise positioning has become a key technology in the intelligent development of underground mines. To improve the positioning accuracy of mining vehicles, this paper proposes an intelligent underground mining vehicle positioning and tracking method based on the fusion of the YOLOv5 and laser sensor technology. The system utilizes a camera and the YOLOv5 algorithm for real-time identification and precise tracking of mining vehicles, while the laser sensor is used to accurately measure the straight-line distance between the vehicle and the positioning device. By combining the strengths of both vision and laser sensors, the system can efficiently identify mining vehicles in complex environments and accurately calculate their position using geometric principles based on laser distance measurements. Experimental results show that the YOLOv5 algorithm can efficiently identify and track mining vehicles in real time. When integrated with the laser sensor’s distance measurement, the system achieves high-precision positioning, with horizontal and vertical positioning errors of 1.66 cm and 1.96 cm, respectively, achieving centimeter-level accuracy overall. This system significantly improves the accuracy and real-time performance of mining vehicle positioning, effectively reducing operational errors and safety risks, providing essential technical support for the intelligent development of underground mining transportation systems.
Dynamic Simulation of Heat Distribution and Losses in Cement Kilns for Sustainable Energy Consumption in Cement Production
Authors: Siame Moses Charles , Zvarivadza Tawanda , Onifade Moshood , Simate Isaac N. , Lusambo Edward
Published: January 2025

Sustainable energy consumption in cement production involves practises and strategies aimed at reducing energy use and minimising environmental impact. The efficiency of a cement kiln is dependent on the kiln design, fuel type, and operating temperature. In this study, a dynamic simulation analysis is used to investigate heat losses and distribution within kilns with the aim of improving energy efficiency in cement production. This study used Computational Fluid Dynamics (CFD) with Conjugate Heat Transfer, Turbulent Flow, and the Realisable k−ϵ turbulence model to simulate heat transfer within the refractory and wall systems of the kiln, evaluate the effectiveness of these systems in managing heat losses, and establish the relationship between the heat transfer coefficient (HTC) and the velocities of solid and gas phases. The simulation results indicate that a temperature gradient from the kiln’s interior to its exterior is highly dependent on the effectiveness of refractory lining in absorbing and reducing heat transfer to the outer walls. The results also confirm that different thermal profiles exist for clinker and fuel gases, with clinker temperatures consistently peaking at approximately 1450 °C, an essential condition for optimal cement-phase formation. The results also indicate that phase velocities significantly influence heat absorption and transfer. Lower velocities, such as 0.2 m/s, lead to increased heat absorption, but also elevate heat losses due to prolonged exposure. The relationship between the heat transfer coefficient (HTC) and the velocities of solid and gas phases also indicates that higher velocities improve HTC and enhance overall heat transfer efficiency, reducing energy demand.
Research on the Correlation Mechanism Between Complex Slopes of Mountain City Roads and the Real Driving Emission of Heavy-Duty Diesel Vehicles
Authors: Tang Gangzhi , Liu Dong , Liu Jiajun , Deng Xuefei
Published: January 2025

This research proposed the method of using cumulative positive and negative elevation increment indicators based on road segment to identify the slope characteristics of mountain city roads. Furthermore, it proposed the adoption of these indicators, combined with driving dynamics and emission theory, to analyze the correlation mechanism between the road slope and the actual driving fuel consumption and emissions. Three routes with different slope characteristics were selected in the mountain city of Chongqing, and six road driving tests were conducted using a Class N2 heavy-duty diesel vehicle. Finally, a comprehensive and in-depth study on fuel consumption and emission characteristics was carried out. The results show that the cumulative positive and negative elevation increment indicators based on road segment can correctly identify the complex slope characteristics of mountain city roads. Moreover, using the above indicators, the research method based on the theory of driving dynamics and emission successfully revealed the correlation mechanism between the slope of mountain city roads and the fuel consumption and emissions. Overall, the changes in fuel consumption factor and pollutants CO, NOX, and PN are positively correlated with the change in slope. The increase in slope leads to a rise in load, thereby increasing the required power, fuel consumption, and rich combustion conditions, ultimately leading to an increase in pollutants. It should be noted that driving dynamics also affect fuel consumption and emissions, leading to the specific rate of change between slope and fuel consumption not being consistent and a significant increase in the PN (Particulate Number) on some road sections. In addition, exhaust gas temperature may have a certain impact on emissions.
Poverty Reduction Through Adaptive Social Protection and Spatial Poverty Model in Labuan Bajo, Indonesia’s National Strategic Tourism Areas
Authors: Gai Ardiyanto , Ernan Rustiadi , Fauzi Akhmad , Barus Baba , Putra Dekka
Published: January 2025

Despite Indonesia’s significant economic progress, certain regions, such as West Manggarai Regency in East Nusa Tenggara, continue to face persistent poverty challenges. While strategic tourism initiatives in Labuan Bajo have spurred regional development, the benefits have not reached local communities equitably, highlighting a disconnect between economic growth and community well-being. Addressing this gap requires an integrated approach that links social protection, disaster risk reduction, climate adaptation, and economic diversification. This paper proposes an adaptive social protection (ASP) framework that aims to increase the resilience of vulnerable populations by integrating social protection systems with disaster preparedness and sustainable economic strategies. The research critically examines the Regional Medium-Term Development Plan (RPJMD) of Kabupaten Manggarai Barat (2021–2026), identifying existing policy gaps and opportunities for improvement. Using a mixed-methods approach, this study used cluster mapping and geographically weighted regression analysis to model and visualise poverty distribution alongside infrastructure conditions. These findings will inform the design of a targeted ASP programme to reduce poverty and build resilience to economic and environmental shocks. By aligning with sustainable development principles, the proposed framework addresses the dual goals of poverty reduction and disaster risk reduction. This study provides actionable recommendations for local governments to strengthen social protection mechanisms, promote inclusive economic growth, and ensure equitable distribution of tourism benefits. The findings provide a policy blueprint for promoting sustainable and inclusive development in West Manggarai Regency, with implications for similar contexts in other regions.
Sustainable Environmental Analysis of Wooden Boxes for Fruit and Vegetable Packaging and Transport in Comparison with Corrugated Cardboard Boxes
Authors: Oliver-Villanueva Jose-Vicente , Armengot-Carbó Bruno , Lorenzo-Saéz Edgar , Lerma-Arce Victoria
Published: January 2025

This study analyses the environmental sustainability of using wooden boxes (WBs) compared to corrugated cardboard boxes (CCBs) for the transport of fruit and vegetable products, where the same box size between WB and CCB is assessed and compared. The Life Cycle Assessment (LCA) followed ISO 14040:2006 and ISO 14044:2006 standards, using the ReCiPe 2016 MidPoint methodology. The following impact categories analysed for sustainability impact, evaluation and monitoring are included: global warming potential, acidification, eutrophication, human toxicity and abiotic resource depletion. The study covered all the stages of packaging life through cradle-to-grave analysis. The study results show that CCBs have a higher environmental impact across most categories despite being single-use packaging systems. The comparison between both packaging systems shows that WBs are a more sustainable alternative, with lower overall environmental impacts in fruit and vegetable packaging and transport. As a general conclusion, WBs have a lower overall environmental impact than CCBs, especially in the key impact criteria of global warming potential, acidification, eutrophication, human non-carcinogenic toxicity, fossil resource depletion and water consumption. Due to that, the wooden box is a more sustainable material for fruit and vegetable packaging, logistics and transport than the corrugated cardboard box, considering the scope and destination analysed.
Upcycling Automobile End-of-Life Tires for Development and Characterization of Circular Plasterboards
Authors: Zaragoza-Benzal Alicia , Ferrández Daniel , Aguilar-Simón Cecilia , Morón Alberto , Santos Paulo
Published: January 2025

The number of end-of-life tires (ELTs) has increased enormously in the world during the last decades, accumulating progressively in landfills and ecosystems. For this reason, the application of secondary raw materials derived from their recycling has become one of the great challenges for today’s society. In this work, different types of prefabricated plaster products were developed incorporating recycled rubber aggregates from ELTs in different granulometries, aiming to study their feasibility to develop construction systems. It was possible to replace up to 40% of the original raw material, obtaining plasterboards that exceed the 0.18 kN flexural breaking load established by regulations. Likewise, the addition of these rubber aggregates reduced the thermal conductivity of the gypsum composites, and the thermal resistance of the lightened partitions was improved by up to 21.8% when used in conjunction with thermal break layer. On the other hand, its greater durability against the action of water was also tested, and fire resistance class B-s1, d0, was obtained. With all these positive results, this study presents a possible application of recycled rubber aggregates for the development of prefabricated plates and panels, addressing one of the main gaps in the literature, the applicability of these building materials produced under circular economy criteria in sustainable construction.
Composting Urban Biowaste: A Potential Solution for Waste Management and Soil Fertility Improvement in Dolisie, Congo
Authors: Bassouka-Miatoukantama Roche Kder , Lerch Thomas , Enock Bocko Yannick , Pando-Bahuon Anne , Watha-Ndoudy Noël , Nzila Jean de Dieu , Loumeto Jean-Joël
Published: January 2025

Population growth, urbanization, and changing consumption patterns are contributing to an increase in household waste production, particularly in sub-Saharan Africa. Composting of biowaste presents a sustainable solution by reducing the volume of waste sent to landfills while enriching the soil. The main objective of this study was to evaluate the suitability of solid household biowaste for composting in market garden crops in Dolisie (the Republic of Congo). Specifically, the study aimed to (i) assess the production and management practices of solid household waste in relation to socio-economic factors, (ii) analyze the chemical composition of solid household biowaste and its concentration of trace elements (TEs), and (iii) determine the potential phytotoxicity of solid household biowaste across different production seasons. In this study, wastes were collected from 40 households over a 60-day period, with daily sorting conducted during both the dry and wet seasons. Using a completely randomized design, various compost application rates were incorporated into the soil to conduct a germination test. The quality of the biowaste and compost was evaluated through physicochemical analyses. Results showed that approximately 90% of high-income households received regular waste collection services and practiced waste separation in contrast to middle- and low-income households. The composition of the biowaste was primarily composed of fruit and vegetable scraps, with slight contamination by chromium and cadmium. Temperature, pH, and humidity levels showed similar trends during compost formation in both the rainy and dry seasons. Germination rates were above 80% in all treatments across both seasons, indicating that the compost was mature. Overall, all physicochemical parameters of the compost met established quality standards, and trace element concentrations were below the recommended thresholds. The study concluded that biowaste, once converted into compost, can be safely applied to agricultural soils without posing any risk of phytotoxicity or contamination to crops.
Exploring Differences Between Daily Activity Spaces and Access to Urban Resources in Suburban Affordable Housing Based on the Different Income Groups: A Case of Nanjing, China
Authors: Wang Hui , Fang Ning , Li Xuefeng
Published: January 2025

Most of the affordable housing communities are built in disadvantaged locations (e.g., the suburbs of Chinese cities) and are generally considered to be the main space for middle- and low-income groups to live in. After decades of development, with the relocation of residents, housing sales and the implementation of mixed housing policies in some countries, there is a common phenomenon of mixed living among different groups in many affordable housing communities. Existing studies have explored the differences and social inequities between affordable housing communities and other types of neighborhoods, but little attention has been paid to the differentiation of residents’ daily activities and the unfair access to resources within affordable housing communities. Understanding this difference is crucial to sustainable community development and the delicate management of cities. From a personal-based perspective, this study examines the sociospatial differentiation of different income groups in the community from two aspects: the multidimensional characteristics of the individual activity space and the availability of different types of urban space. The results highlight significant differences in the activity spaces of different income groups across four dimensions: extensity, intensity, diversity, and exclusivity. Low-income suburban residents have fewer opportunities to access inner-city and inner-suburban areas compared to their non-low-income counterparts. They are more constrained to the outer suburbs. Regression models show that income is a key factor influencing how outer-suburb residents use urban spaces. Other factors, such as one’s employment status, family structure, education level, and the built environment, also play an important role in shaping access to different urban resources. This study highlights the impact of income on social isolation within Chinese urban affordable housing communities. It provides nuanced insights that can inform future policy recommendations in a broader urban context.
An Evolutionary Game and Simulation Study of Work Safety Governance and Its Impact on Long-Term Sustainability Under the Supervisory System
Authors: Hu Wu , Ma Fujun , Li Tianjv
Published: January 2025

Work safety governance is a critical component of corporate ESG (Environmental, Social, and Governance) performance, particularly in high-risk industries. Effective safety supervision systems not only protect workers’ wellbeing, a key social metric in ESG frameworks, but also enhance corporate governance through improved risk management and regulatory compliance. The supervisory system represents a major institutional innovation in China’s approach to addressing increasingly complex work safety governance challenges. This study constructs an evolutionary game model involving the central government, local government, and high-risk enterprises to analyze the evolutionary characteristics of stakeholder behaviors. Through system simulation, we examine how key parameter changes affect the stability of system equilibrium points. Our findings reveal that (1) the current supervisory system effectively incentivizes both local governments to conduct safety supervision and high-risk enterprises to comply with safety investment requirements. (2) While government penalty levels do not affect strategy combinations, both insufficient and excessive penalties slow the system’s evolution toward optimal states. (3) Local governments tend to choose non-regulatory strategies when transfer payments and enterprise subsidies are inadequate. (4) Insufficient supervision intensity from the central government leads to local government non-regulation, and although this can be addressed by increasing supervision intensity, excessive supervision reduces the system’s evolution speed toward ideal states. Based on these findings, we propose policy recommendations for rational supervision intensity control, scientific reward–punishment mechanisms, and enhanced safety information transparency. This framework provides insights into the relationship between governance mechanisms and corporate long-term sustainability, which has been shown to improve ESG standards.
China’s Rural Revitalization Policy: A PRISMA 2020 Systematic Review of Poverty Alleviation, Food Security, and Sustainable Development Initiatives
Authors: Yaohong Wang , Firdaus R. B. Radin , Xu Jiaqing , Dharejo Nasrullah , Jun Gui
Published: January 2025

This systematic review evaluates China’s Rural Revitalization Policy, focusing on sustainable agriculture, food security, and poverty alleviation initiatives from 2010 to 2024. The study addresses critical gaps in understanding how these combined efforts impact long-term food security and ecological sustainability in impoverished areas, moving beyond the short-term outcomes often emphasized in existing literature. Following the PRISMA 2020 guidelines, we reviewed 33 peer-reviewed publications from the Web of Science and Scopus databases, employing bibliometric analyses in RStudio to assess citation patterns, collaboration networks, and thematic evolution. Our analysis reveals significant progress across three interconnected domains. First, poverty alleviation initiatives achieved a 12.3% reduction in rural poverty through integrated agricultural modernization and targeted support programs. Second, agricultural productivity increased by 9.8% through technological integration and sustainable farming practices, strengthening food security outcomes. Third, environmental sustainability improved notably, with a 15.7% increase in clean water access, demonstrating a successful balance between economic growth and ecological protection. China emerged as the largest contributor (15.2%) to research in this field, with substantial international collaboration (42.4% of publications involving cross-border co-authorship). Despite these achievements, significant regional disparities persist, particularly between eastern and western regions, where targeted interventions are needed. The findings highlight the need for regionally tailored approaches: eastern regions require focus on sustainable intensification, western regions need fundamental infrastructure development, and central regions would benefit from strengthened urban–rural linkages. This study provides valuable insights for policymakers and researchers working on rural development initiatives while identifying areas requiring further research, particularly in long-term sustainability assessments and climate resilience strategies.
Navigating Urban Transformation: The Impact of Green Innovation on Sustainable Development Performance
Authors: Zhen Zihao , Chen Jiabei , Zhang Ya , Qin Jie
Published: January 2025

This paper examines the influence of green innovation on the sustainable development performance of Chinese companies listed on the Shanghai and Shenzhen A-shares market between 2010 and 2021. Utilizing manually collected green innovation patent data from the National Intellectual Property Administration, this paper finds that green innovation can enhance corporate sustainable development performance by improving the corporation’s reputation and increasing resource utilization efficiency within metropolitan areas. Heterogeneity analyses show that the impact of green innovation on sustainable development performance is more pronounced when the urban commercial credit environment is better, following the enactment of the new Environmental Protection Law, and during the implementation of digital transformation processes in cities. This paper enriches the research related to the economic consequences of green innovation and the influencing factors of sustainable development performance, offering theoretical support for policy refinement by regulatory authorities and the optimization of investment decisions by investors.
Diversity of the Subfamily Torodorinae (Lepidoptera: Lecithoceridae) in Afrotropical Region
Authors: Park Kyu-Tek
Published: January 2025

Torodorinae is the second largest subfamily of Lecithoceridae, comprising more than 600 species worldwide. In the Afrotropical Region, 116 species of the subfamily have been known, of which 90 species were described by the author and his co-authors since 2018. In this article, the generic synopsis of the subfamily Torodorinae in Afrotropical Region is discussed and reviewed, providing lists of all known species of each genus.
Real-Time Deployment of Ultrasound Image Interpretation AI Models for Emergency Medicine Triage Using a Swine Model
Authors: Hernandez Torres Sofia I. , Holland Lawrence , Winter Theodore , Ortiz Ryan , Amezcua Krysta-Lynn , Ruiz Austin , Thorpe Catherine R. , Snider Eric J.
Published: January 2025

Ultrasound imaging is commonly used for medical triage in both civilian and military emergency medicine sectors. One specific application is the eFAST, or the extended focused assessment with sonography in trauma exam, where pneumothorax, hemothorax, or abdominal hemorrhage injuries are identified. However, the diagnostic accuracy of an eFAST exam depends on obtaining proper scans and making quick interpretation decisions to evacuate casualties or administer necessary interventions. To improve ultrasound interpretation, we developed AI models to identify key anatomical structures at eFAST scan sites, simplifying image acquisition by assisting with proper probe placement. These models plus image interpretation diagnostic models were paired with two real-time eFAST implementations. The first implementation was a manual AI-driven ultrasound eFAST tool that used guidance models to select correct frames prior to making any diagnostic predictions. The second implementation was a robotic imaging platform capable of providing semi-autonomous image acquisition combined with diagnostic image interpretation. We highlight the use of both real-time approaches in a swine injury model and compare their performance of this emergency medicine application. In conclusion, AI can be deployed in real time to provide rapid triage decisions, lowering the skill threshold for ultrasound imaging at or near the point of injury.
Risk Assessment of Harmful Algal Blooms in Salmon Farming: Scotland as a Case Study
Authors: Gianella Fatima , Burrows Michael T. , Davidson Keith
Published: January 2025

This study explored harmful algal bloom (HAB) risk as a function of exposure, hazard and vulnerability, using Scotland as a case study. Exposure was defined as the fish biomass estimated to be lost from a bloom event, based on the total recorded annual production. Hazard was estimated from literature-reported bloom events. Vulnerability was calculated from records of the number of employees (2020), as an estimate of aquaculture-based employment. The dinoflagellate Karenia mikimotoi was identified as the HAB species with the highest frequency of reported bloom events in Scotland, with variable spatial and temporal reports, but environmental and climatological variables regulating these events are currently unknown. The Shetland Islands region exhibited the highest combined HAB risk, with the highest scores in all three components. Vulnerability was particularly important to overall risk within an island setting, where a larger proportion of the population was dependent on aquaculture. The analysis demonstrated the potential to evaluate the economic and social consequences of HAB events on the aquaculture industry. As fish-killing HABs and fish health impacts are likely under-reported, more transparent reporting of events and related fish health and physiological consequences is recommended for a more quantitative application of this approach.
Distinguishing Compact Objects in Extreme-Mass-Ratio Inspirals by Gravitational Waves
Authors: Xu Lujia , Yang Shucheng , Han Wenbiao , Zhong Xingyu , Tang Rundong , Zhang Yuanhao
Published: January 2025

Extreme-mass-ratio inspirals (EMRIs) are promising gravitational-wave (GW) sources for space-based GW detectors. EMRI signals typically have long durations, ranging from several months to several years, necessitating highly accurate GW signal templates for detection. In most waveform models, compact objects in EMRIs are treated as test particles without accounting for their spin, mass quadrupole, or tidal deformation. In this study, we simulate GW signals from EMRIs by incorporating the spin and mass quadrupole moments of the compact objects. We evaluate the accuracy of parameter estimation for these simulated waveforms using the Fisher Information Matrix (FIM) and find that the spin, tidal-induced quadruple, and spin-induced quadruple can all be measured with precision ranging from 10−2 to 10−1, particularly for a mass ratio of ∼10−4. Assuming the “true” GW signals originate from an extended body inspiraling into a supermassive black hole, we compute the signal-to-noise ratio (SNR) and Bayes factors between a test-particle waveform template and our model, which includes the spin and quadrupole of the compact object. Our results show that the spin of compact objects can produce detectable deviations in the waveforms across all object types, while tidal-induced quadrupoles are only significant for white dwarfs, especially in cases approaching an intermediate-mass ratio. Spin-induced quadrupoles, however, have negligible effects on the waveforms. Therefore, our findings suggest that it is possible to distinguish primordial black holes from white dwarfs, and, under certain conditions, neutron stars can also be differentiated from primordial black holes.
Repurposing Drugs for Synergistic Combination Therapies to Counteract Monkeypox Virus Tecovirimat Resistance
Authors: Witwit Haydar , Cubitt Beatrice , Khafaji Roaa , Castro Esteban M. , Goicoechea Miguel , Lorenzo Maria M. , Blasco Rafael , Martinez-Sobrido Luis , de la Torre Juan C.
Published: January 2025

The ongoing monkeypox (mpox) disease outbreak has spread to multiple countries in Central Africa and evidence indicates it is driven by a more virulent clade I monkeypox virus (MPXV) strain than the clade II strain associated with the 2022 global mpox outbreak, which led the WHO to declare this mpox outbreak a public health emergency of international concern. The FDA-approved small molecule antiviral tecovirimat (TPOXX) is recommended to treat mpox cases with severe symptoms, but the limited efficacy of TPOXX and the emergence of TPOXX resistant MPXV variants has challenged this medical practice of care and highlighted the urgent need for alternative therapeutic strategies. In this study we have used vaccinia virus (VACV) as a surrogate of MPXV to assess the antiviral efficacy of combination therapy of TPOXX together with mycophenolate mofetil (MMF), an FDA-approved immunosuppressive agent that we have shown to inhibit VACV and MPXV, or the N-myristoyltransferase (NMT) inhibitor IMP-1088. Both MMF and IMP-1088 drugs exhibited strong dose-dependent antiviral activity against VACV and mpox, and potent synergistic effects in conjunction with TPOXX. Our findings support combination therapy of direct-acting (TPOXX) and host-targeted (MMF and IMP-1088) antivirals as a promising approach to treat mpox and prevent the emergence and spread of TPOXX-resistant MPXV variants.
Serological and Molecular Characterization of the Hepatitis B Virus in Blood Donors in Maputo City, Mozambique
Authors: Maquessene Olga , Laurindo Osvaldo , Chambal Lúcia , Ismael Nalia , Mabunda Nédio
Published: January 2025

Hepatitis B virus (HBV) is a major public health concern responsible for hepatitis and hepatocellular carcinoma (HCC) worldwide. In Mozambique, HBsAg prevalence is high and endemic, and despite the strategies to mitigate the spread of the disease, the HCC incidence is still high and one of the highest in the world. There is still limited data on the serological profile and molecular epidemiology of HBV in Mozambique given the burden of this disease. In this study, we aimed to describe the serological and molecular characterization of HBV among blood donors. We conducted a cross-sectional survey from November 2014 to October 2015 at the Blood Bank of the Hospital Central de Maputo. Serological testing and molecular testing were performed. The frequency of HBV infection was estimated at 4.4% and was higher among males (79.1%), individuals aged 25–39 years (55.2%), and replacement donors (89.6%). The median viral load of HBV-positive blood donors was 1288.5 IU/mL, and 43.8% had a viral load higher than 2000 IU/mL. Most of the sequenced samples (94.3%) belonged to subgenotype A1. These findings underscore the importance of ongoing surveillance to inform effective HBV control strategies and present evidence about the burden of HBV among blood donors, which definitely requires attention, and clinical blood banks in Mozambique and in similar settings.
Neo-BCV: A Novel Bacterial Liquid Complex Vaccine for Enhancing Dendritic Cell-Mediated Immune Responses Against Lung Cancer
Authors: Zhu Zilong , Chu Zhuze , Fei Fei , Wu Chenxi , Fei Zhengyue , Sun Yuxia , Chen Yun , Lu Peihua
Published: January 2025

Background: In the past decade, immunotherapy has become a major choice for the treatment of lung cancer, yet its therapeutic efficacy is still relatively limited due to the various immune escape mechanisms of tumors. Based on this, we introduce Neo-BCV, a novel bacterial composite vaccine designed to enhance immune responses against lung cancer. Methods: We investigated the immune enhancing effect of Neo-BCV through in vivo and in vitro experiments, including flow cytometry, RNA-seq, and Western blot. Results: We have demonstrated that Neo-BCV can promote Dendritic cells (DCs) maturation and induce DCs differentiation into pro-inflammatory subgroups, significantly enhancing cytotoxic T lymphocyte (CTL)-mediated anti-tumor responses. Transcriptome sequencing revealed that Neo-BCV exerts its effects by specifically inhibiting the JAK2-STAT3 signaling pathway, a crucial regulator of cancer progression, metabolism, and inflammation. Moreover, Neo-BCV significantly improved the immune microenvironment in both tumor and spleen tissues without inducing notable toxic effects in major organs. Conclusions: These findings highlight Neo-BCV’s potential as a safe and effective therapeutic strategy, offering a novel avenue for clinical translation in lung cancer immunotherapy.
T4 Phage Displaying Dual Antigen Clusters Against H3N2 Influenza Virus Infection
Authors: Liu Shenglong , Lin Mengzhou , Zhou Xin
Published: January 2025

Background: The current H3N2 influenza subunit vaccine exhibits weak immunogenicity, which limits its effectiveness in preventing and controlling influenza virus infections. Methods: In this study, we aimed to develop a T4 phage-based nanovaccine designed to enhance the immunogenicity of two antigens by displaying the HA1 and M2e antigens of the H3N2 influenza virus on each phage nanoparticle. Specifically, we fused the Soc protein with the HA1 antigen and the Hoc protein with the M2e antigen, assembling them onto a T4 phage that lacks Soc and Hoc proteins (Soc−Hoc−T4), thereby constructing a nanovaccine that concurrently presents both HA1 and M2e antigens. Results: The analysis of the optical density of the target protein bands indicated that each particle could display approximately 179 HA1 and 68 M2e antigen molecules. Additionally, animal experiments demonstrated that this nanoparticle vaccine displaying dual antigen clusters induced a stronger specific immune response, higher antibody titers, a more balanced Th1/Th2 immune response, and enhanced CD4+ and CD8+ T cell effects compared to immunization with HA1 and M2e antigen molecules alone. Importantly, mice immunized with the T4 phage displaying dual antigen clusters achieved full protection (100% protection) against the H3N2 influenza virus, highlighting its robust protective efficacy. Conclusions: In summary, our findings indicate that particles based on a T4 phage displaying antigen clusters exhibit ideal immunogenicity and protective effects, providing a promising strategy for the development of subunit vaccines against various viruses beyond influenza.
Enhancing Presence, Immersion, and Interaction in Multisensory Experiences Through Touch and Haptic Feedback
Authors: Gao Yang , Spence Charles
Published: January 2025

In this narrative historical review, we take a closer look at the role of tactile/haptic stimulation in enhancing people’s immersion (and sense of presence) in a variety of entertainment experiences, including virtual reality (VR). An important distinction is highlighted between those situations in which digital tactile stimulation and/or haptic feedback are delivered to those (i.e., users/audience members) who passively experience the stimulation and those cases, including VR, where the user actively controls some aspects of the tactile stimulation/haptic feedback that they happen to be experiencing. A further distinction is drawn between visual and/or auditory VR, where some form of tactile/haptic stimulation is added, and what might be classed as genuinely haptic VR, where the active user/player experiences tactile/haptic stimulation that is effortlessly interpreted in terms of the objects and actions in the virtual world. We review the experimental evidence that has assessed the impact of adding a tactile/haptic element to entertainment experiences, including those in VR. Finally, we highlight some of the key challenges to the growth of haptic VR in the context of multisensory entertainment experiences: these include those of a technical, financial, psychological (namely, the fact that tactile/haptic stimulation often needs to be interpreted and can reduce the sense of immersion in many situations), psycho-physiological (such as sensory overload or fatigue), physiological (e.g., relating to the large surface area of the skin that can potentially be stimulated), and creative/artistic nature.
Systematic Synthesis of Knowledge Relating to the Hydrological Functioning of Inland Valleys in Sub-Saharan Africa
Authors: Tidjani Akominon M. , Tovihoudji Pierre G. , Akponikpe Pierre B. Irénikatché , Vanclooster Marnik
Published: January 2025

The potential of inland valleys to enhance food security and improve agricultural resilience to climate change in Africa is constrained by a limited understanding of their hydrological functioning and inadequate water management. In order to synthesize knowledge on hydrological responses in inland valley areas, this work reviewed 275 studies from tropical Sub-Saharan Africa (SSA). Data from the literature search were collected from Scopus™, ScienceDirect™, Web of Science™, Google Scholar™, and doctoral theses repositories such as ZEF, HAL, and Theses.fr, covering studies published from the inception of these databases through 31 May 2023. Our approach involved, firstly, a bibliometric analysis of all papers to gain insights into research trends and interests. Secondly, we performed a quantitative synthesis of results from 66 studies examining stream flows in a set of 79 inland valleys to better understand factors that govern runoff dynamics in these environments. Correlative analyses and clustering methods were applied to identify potential links between runoff and watershed physical parameters. The findings highlight the varied responses of inland valleys over both time and space, influenced by a combination of catchment drivers. The correlation matrices between hydrological indices and physical parameters indicate a strong relationship among runoff and a range of parameters, of which the most significant are rainfall (R2 = 0.77) and soil silt content (R2 = 0.68). Challenges in accurately spatializing information related to potential determining components of the water cycle, such as groundwater dynamics and soil moisture, seem to have limited the exploration of interactions between river flow, soil moisture, and groundwater. Future works should prioritize the development of accurate and user-friendly hydrological models that balance complexity and data availability to enhance the understanding of inland valley behavior at fine scales and consolidate food security in Africa.
Contaminated Characteristics Variation in Different Aquaculture Modes: A Case Study in Northern China
Authors: Gao Jingqing , Fu Yuang , Lu Kexin , Li Jie , Yan Shaofeng , Liu Chi , Shen Yu
Published: January 2025

Various aquaculture modes have been developed to satisfy the growing demands of aquatic products. The contaminated characteristics may distribute along with the aquaculture modes, threatening the ecological environment to varying degrees. Herein, the five most common aquaculture modes (small-scale intensive mode, extensive free-range mode, concentrated contiguous mode, funnel-type mode, and recirculating aquaculture system) were selected to study the contaminated characteristics (including nine kinds of water quality parameters and eight kinds of antibiotics) in Henan Province, a province in northern China, and analysed using high-performance liquid chromatography tandem secondary mass spectrometry (HPLC–MS/MS). The funnel-type mode, as a unique mode developed in Henan Province, appears highest in nutrient content, wherein TN and TP concentrations reach 29.28 mg/L and 2.20 mg/L, respectively. The small-scale intensive mode has the highest average antibiotic concentration in five different aquaculture modes, with a concentration of 502 ng/L. Overall, the most abundant antibiotic was quinolones (QNs), followed by sulfonamides (SAs), chloramphenicols (CAs), and tetracyclines (TCs). Pearson correlation analysis showed that ENR had a strong positive correlation with TN, TP, and Zn, indicating the enrofloxacin (ENR) may have existed as the addictive in aquaculture feed. Moreover, the risk quotient (RQ) analysis indicated that ENR posed a medium to high risk, highlighting the importance of antibiotics man-agement in aquaculture. This work provides theoretical guidance for the formulation of aquaculture water pollutant control of different aquaculture modes.
Study on Frequency-Response Optimization of Electric Vehicle Participation in Energy Storage Considering the Strong Uncertainty Model
Authors: Cai Li , Yang Chenxi , Li Junting , Liu Yuhang , Yan Juan , Zou Xiaojiang
Published: January 2025

Due to numerous distributed power sources connecting to the grid, which results in strong grid volatility and diminished power quality, the traditional energy storage configuration is limited in terms of flexibility and economy. Based on this, integrating electric vehicles (EVs) into the distribution network as energy storage devices has emerged as a promising development direction. This paper proposes a frequency-response optimization study considering the strong uncertainty model of EVs. First, from the perspective of temporal-spatial characteristics, energy storage resources, and users’ willingness to respond, the strong uncertainty model of EVs is constructed by fitting the trip chain and the access probability of their participation in energy storage. Second, the frequency optimization model is integrated and constructed according to the response capability of a single EV. Finally, examples and scenarios are analyzed to verify that the maximum and minimum frequency offsets are reduced by 69.41% and 66.69%, respectively, which significantly reduces frequency fluctuations and stabilizes the output of EV clusters.
Stability Study of Distributed Drive Vehicles Based on Estimation of Road Adhesion Coefficient and Multi-Parameter Control
Authors: Ji Peng , Han Fengrui , Zhao Yifan
Published: January 2025

In order to improve the driving stability of distributed-drive intelligent electric vehicles under different roadway attachment conditions, this paper proposes a multi-parameter control algorithm based on the estimation of road adhesion coefficients. First, a seven-degree-of-freedom (7-DOF) vehicle dynamics model is established and optimized with a layered control strategy. The upper-level control module calculates the desired yaw rate and sideslip angle using the two-degree-of-freedom (2-DOF) vehicle model and estimates the road adhesion coefficient by using the singular-value optimized cubature Kalman filtering (CKF) algorithm; the middle-level utilizes the second-order sliding mode controller (SOSMC) as a direct yaw moment controller in order to track the desired yaw rate and sideslip angle while also employing a joint distribution algorithm to control the torque distribution based on vehicle stability parameters, thereby enhancing system robustness; and the lower-level controller performs optimal torque allocation based on the optimal tire loading rate as the objective. A Speedgoat-CarSim hardware-in-the-loop simulation platform was established, and typical driving scenarios were simulated to assess the stability and accuracy of the proposed control algorithm. The results demonstrate that the proposed algorithm significantly enhances vehicle-handling stability across both high- and low-adhesion road conditions.
Christian Ocean Stewardship on the Taiwan Marine Wind Farm Policy and Cetacean Conservation
Authors: Yang Wei-Cheng
Published: January 2025

This study aims to explore the practice of Christian ocean stewardship on Taiwan’s marine wind farm policy, with a particular focus on the critically endangered Taiwanese humpback dolphins (Sousa chinensis taiwanensis). Marine wind farms, while integral to the shift toward renewable energy, present complex ethical challenges due to their adverse environmental impacts—particularly noise pollution, which poses a serious threat to vulnerable marine species. International laws have underscored the importance of preventing marine noise pollution. Although Taiwan has relevant laws and policies, their implementation and supervision in preventing marine noise pollution are inadequate. This study critically examines the anthropocentric frameworks that currently dominate Taiwan’s marine development policies, arguing that they inadequately address the moral obligations humans have toward the broader ecosystem. Through a theological reflection grounded in Christian stewardship ethics, this research advocates for a shift away from human-centered environmental policies towards a more holistic ethic that acknowledges the intrinsic value of all creation. It emphasizes that ethical stewardship requires not merely reducing harm but actively participating in the restoration and protection of ecosystems, thus extending beyond utilitarian considerations of human benefit. The plight of the Taiwanese humpback dolphin serves as a case study for exploring these ethical tensions, highlighting how the energy transition can inadvertently contribute to biodiversity loss if not approached with caution and moral responsibility. Building on this, this study proposed four key principles to guide future marine development. These principles advocate for respecting nature, responsible management, continuous innovation, and social participation and transparency. This approach not only helps guide Taiwan’s marine policies but also provides new perspectives and practical approaches for applying Christian ethics in the field of marine environmental protection.