bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimizing Urban Technological Innovation through GGFs: A Systemic and Spatial Analysis
Authors: Zheng Zhanhao , Liu Yuxuan , Kong Fanzhen , Zhao Xicang
Published: October 2024

The implementation of the Government Guides Funds (GGFs) policy by China’s government plays an important role in guiding domestic private capital to participate in innovation and entrepreneurship activities. This study empirically analyzed the impact of GGFs in facilitating the domestic optimization process of urban innovation in China. Based on panel data from 285 cities from 2008 to 2021, this study uses the Spatial Durbin Model (SDM) to verify the impact of GGFs on urban innovation and its mechanism. The findings reveal that GGFs exert a positive influence on the urban innovation of both the immediate regions and the neighboring areas of the policy-origin city. The effectiveness of GGFs varies geographically, with more pronounced spatial spillover impacts observed in the eastern regions of China. Further research shows that industrial upgrading amplifies the direct impact of GGFs on urban innovation, while its indirect effectiveness is not significant. Finally, based on empirical findings, this study also underscores the necessity of local governments in tailoring the management of GGFs to local conditions and promoting sustainable urban innovation and regional development. Our findings provide noteworthy implications for governmental administrators and regulators in promoting the systemic optimization of GGFs operations within the context of sustainable urban development.
Lighting Features Affecting the Well-Being of Able-Bodied People and People with Physical Disabilities in the Park in the Evening: An Integrated and Sustainable Approach to Lighting Urban Green Areas
Authors: Lis Aleksandra , Zienowicz Magdalena , Błachnio Aleksandra
Published: October 2024

This study focuses on the analysis of lighting in night conditions to explain what lighting in parks should look like and how parks should be lit from the point of view of people’s perceptions. It addresses the impact of the lighting configuration of urban parks on preference, safety, mystery, legibility, and contact with the environment. The feelings of wheelchair users and able-bodied people were measured. The respondents assessed park landscapes presented in visualisations that varied in terms of lighting features and spatial contexts. This research showed, inter alios, that the participants rated evenly lit spaces more highly than those featuring spot lighting. In unevenly lit spaces, the lighting of the surroundings turned out to be crucial import for able-bodied people, while for the disabled respondents, a combination of lighting of the surroundings and of paths was significant. For evenly lit spaces, path lighting is less important for disabled people than for those without disabilities. These insights can help researchers to look at lighting solutions in a more human-centered way and take into account the environment in which they are used. This allows the design of night lighting in parks to be socially sustainable and promotes access to urban green spaces for all citizens. The study emphasises that the provision of sustainable lighting in parks should take into account different social groups, making light a common good.
Cultural Sensitivity and Social Well-Being in Embassy Architecture: Educational Approaches and Design Strategies
Authors: Krstić Verica , Filipović Ivan , Ristić Trajković Jelena
Published: October 2024

Over the past two decades, the expanding environmental and ecological crises highlight the need to broaden the concept of sustainability to encompass support for cultural sensitivity and social well-being. This study explores the role of architectural education in fostering cultural sensitivity and social well-being in embassy architecture within a framework of environment–behavior studies. It starts from the premise that the architectural values of a culture are deeply rooted in the relationship between the users, architecture, and surrounding environment. State-sponsored architectural works (e.g., embassies, consulates, cultural centers) built outside the country are viewed as symbolic representations of a nation’s diplomatic and cultural influence. These architectural typologies hold a unique potential to act as bridges for cross-cultural dialogue and foster a collective sense of global citizenship. In order to develop and assess the teaching curriculum, a specific assignment was given to master’s students of the Faculty of Architecture, University of Belgrade, with the aim to explore how engineering education can be adopted to motivate students toward sustainable attitudes and design solutions. While traditional diplomatic architecture emphasizes inward-facing, fortress-like design strategies, establishing physical and symbolic barriers between the embassy’s territory and the surrounding context, this research advocates for a more holistic approach oriented toward cultural sustainability, openness, and integration within an urban context. Key findings highlight creative solutions for balancing cultural representation with functional requirements while prioritizing community engagement, environmental responsibility, and user well-being. By demonstrating the two distinctive architectural strategies, this study contributes to the culturally responsive embassy design within the broader context of sustainable architectural education.
Are Beaches Losing Their Capacity to Receive Holidaymakers? The Case of Ofir, Portugal
Authors: Silva Sara , Novais Jorge , Vieira António , Marques Tiago
Published: October 2024

Coastlines are suffering from the effects of erosive processes, the decrease in sediment supply, the rise in mean sea level, and the construction of coastal infrastructure and drainage works, which are further exacerbated by global climate change. The area of the Parque Natural do Litoral Norte (North Coast Natural Park) reveals worsening erosion rates and the transformations directly affect the natural resources that support tourism activities, particularly beach and nature tourism. As part of the CLICTOUR project, we have selected the coastline from Restinga de Ofir to Bonança Beach as a case study. The ESRI ArcGIS software and the Digital Shoreline Analysis System (DSAS) were used to quantify coastline migration and identify the impacts on beach morphology between 2010 and 2023. Based on this information, we calculated changes in carrying capacity and scenarios for visitor usage availability to ensure the protection of fauna and flora, as well as the safety of beachgoers. The results of the linear regression rate confirm the coastline has retreated during the period analyzed (2010–2023). The outcome of these dynamics is noticeable in the beach area, promoting its reduction in area and leisure quality. Considering climate change, this study shows the importance of developing resilience strategies for coastal territories that serve as traditional summer destinations.
A System Dynamics Supply Chain Analysis for the Sustainability Transition of European Rolled Aluminum Products
Authors: Khakdaman Masoud , Dullaert Wout , Inghels Dirk , van Keeken Marieke , Wissink Pascal
Published: October 2024

This research presents a system dynamics model to study the interaction among demand and supply evolutions, government regulations, sustainable adoption trends, investments in different decarbonization technologies, and environmental requirements for the European Aluminum Rolled Product Supply Chain (ARPSC). It allows stakeholders to assess the quantitative impact of investing in decarbonization technologies on supply chain sustainability. Investing in decarbonization technologies reduces greenhouse gas (GHG) emissions. The most substantial GHG emission reductions can be achieved if upstream ARPSC actors invest according to an aggressive investment strategy between 2031 and 2040. However, even with an aggressive investment strategy, investing in decarbonization technologies alone is likely to be insufficient to achieve the European Green Deal goals. Furthermore, barriers to investment in decarbonization technologies and a low rate of progress in doubling the European Union’s circularity rate may put extra stress on achieving the European Green Deal goals for the European ARPSC. Instead, ARPSC actors will additionally need to optimize the recycling of aluminum rolled products and adopt strategies for resource sufficiency, e.g., by sharing cars and using packaging multiple times.
Can New Energy Become a Breakthrough for Economic Development—Based on Clean Development Mechanism Projects in Less Developed Coastal Cities
Authors: Wang Yao , Wang Ruichen , Shi Yupeng , Wu Xuenan
Published: October 2024

Coastal cities have the natural resource endowment and location advantages to develop new energy. However, heterogeneity in the economic development of China’s coastal cities has led to differences in the outcomes of environmental regulatory policies and related programs. To elucidate the difference, this paper obtained 5074 clean development mechanism (CDM) projects, which serves as a key instrument of the Kyoto Protocol designed to assist developing countries in achieving sustainable development through project-based emissions reductions and conducted a causal identification through quasi-experiment. And DID as well as DDD models are applied to identify the CDM effects on cities’ economic development. Main findings are: (1) Through the DID regression, this paper finds that the development of CDM projects have promoted the development of the city’s economy and lead to the upgrading of cities’ industries. (2) The promoting effects in economic development and employment are more prominent in coastal cities with high levels of economic development. (3) CDM can better facilitate economic development and employment in less developed coastal areas when implemented in conjunction with economic promoting policies. By applying quasi-experimental methods, including DID and DDD models, the research introduces a novel approach to assess the causal effects of CDM projects on city economies, offering fresh insights into sustainable development policies.
Evaluation of Thermal Comfort Conditions in the Working Environments of Seasonal Agricultural Workers in Csa Koppen Climate Type
Authors: Karakuş Nihat , Selim Serdar , Selim Ceren , Olgun Rifat , Koç Ahmet , Ardahanlıoğlu Zeynep R. , Şenyiğit Doğan Sülem , Ertoy Nisa
Published: October 2024

This study focuses on determining the thermal comfort conditions of seasonal agricultural workers during the hot periods of the year when agricultural production is intense in the Aksu/Türkiye region, which is characterized by the Csa climate type according to the Köppen–Geiger climate classification. In this study, the thermal comfort conditions of seasonal agricultural workers working on open farmlands were evaluated in ten-day, monthly, and seasonal periods for 6 months between 5:00 and 21:00 h using the modified Physiological Equivalent Temperature (mPET) index in the Rayman Pro software according to their activity energy during work. The results of the study reveal that increased activity energy leads to a decrease in thermal comfort conditions of agricultural workers, mPET values of agricultural workers engaged in soil cultivation (Group II) are 2.1 to 2.9 °C higher than the mPET values of workers engaged in plant care and harvesting (Group I), and the agricultural workers in Group II are exposed to more heat stress. The thermal comfort conditions of agricultural workers in Group I deteriorate between 09:00 and 16:00 h with mPET values between 34.1 and 35.3 °C and those of agricultural workers in Group II deteriorate between 08:00 and 17:00 h with mPET values between 34.3 and 37.7 °C. In this context, the daily comfortable working time in the morning and afternoon was found to be 9 h for Group I and 7 h for Group II. Overall, determining the comfortable working hours of agricultural workers in regions with different climate types in future studies will be an important resource for decision-makers in developing strategies to protect the health and increase the productivity of agricultural workers.
Investigating the Potential Use of End-of-Life Fire Extinguisher Powder as a Soil Amendment in Different Soil Types: A New Approach Following a Circular Economy Model
Authors: Tsigka Ioanna , Kiatikidis Nikolaos , Tsolakis Panagiotis K. , Stergiou Nikolaos , Golia Evangelia E.
Published: October 2024

A first attempt to assess the potential alternative use of fire extinguisher filler powder after its exhaustion has been investigated in the present research. The chemical composition of fire extinguisher filler powder, specifically type ABC 40%, consists of monoammonium phosphate and ammonium sulfate. As its nitrogen and phosphorus content is particularly high, the thought of its possible use as a fertilizer and/or a soil amendment is a challenge. For this purpose, a pot experiment was carried out and two leafy vegetables (spinach and lettuce) were used as biomarkers. Two soil samples from rural areas, one acidic (pH = 5.8 ± 0.1) and one alkaline (pH = 8.2 ± 0.7), were selected for the experiments. Filler powder from a used fire extinguisher was added to the soil samples in two levels (1 and 2% v/v). It was found that the addition of fire extinguisher filler powder caused no toxicity to either of the two plants studied. On the contrary, an increase in their above-ground biomass was observed, proportional to the amount of powder added. It was established that in the pots where the powder was added, in both plant species observed, the plant height, root length, and chlorophyll content of leaves increased, the total antioxidant capacity was enhanced, and the concentrations of nitrate and phosphate in the leaves and roots of plants also increased, compared to the soil without the addition of fire extinguisher powder. The early signs appear to be encouraging, as an increase was observed in almost all aspects. The mandatory end of the life cycle of the powder as a fire-extinguishing agent and its disposal is also a challenge in the context of the circular economy, as reducing the energy requirements for fertilizer production is one of the objectives of sustainable development.
A Sustainable Educational Tool for Engineering Education Based on Learning Styles, AI, and Neural Networks Aligning with the UN 2030 Agenda for Sustainable Development
Authors: Isaza Domínguez Lauren Genith , Velasquez Clavijo Fabian , Robles-Gómez Antonio , Pastor-Vargas Rafael
Published: October 2024

This study addresses the United Nations 2030 Agenda Sustainable Development Goals 4, 8, 10, and 12 by developing a resource-efficient tool that promotes equitable quality education and lifelong learning opportunities, supports decent work and economic growth, reduces inequalities, and ensures sustainable consumption and production patterns. This study contributes to sustainable education by providing a tool that is designed to be easy to use, easy to modify, and resource-efficient, making it accessible to institutions with limited technological resources. The tool uses artificial intelligence and a long short-term memory (LSTM) neural network to provide personalized teaching, adapting to the unique learning styles of its users. A custom survey adapted from the Felder–Silverman model was used to track weekly learning style transitions among 72 engineering students at the Faculty of Engineering at the University of Los Llanos. These data were used to build the LSTM model to predict learning style transitions over a 16-week semester. Two interfaces were created: one for instructors, integrating the LSTM model, and one for students, incorporating a custom survey. An OpenAI API-powered chat was also built into both interfaces to provide study advice to students according to their styles and enable professors to personalize their teaching methodologies in engineering education.
The Synergistic Effect of the Same Climatic Factors on Water Use Efficiency Varies between Daily and Monthly Scales
Authors: Li Guangchao , Yi Zhaoqin , Han Liqin , Hu Ping , Chen Wei , Ye Xuefeng , Yang Zhen
Published: October 2024

The coupled processes of ecosystem carbon and water cycles are usually evaluated using the water use efficiency (WUE), and improving WUE is crucial for maintaining the sustainability of ecosystems. However, it remains unclear whether the WUE in different ecosystem responds synchronously to the synergistic effect of the same climate factors at daily and monthly scales. Therefore, we employed a machine learning-driven factor analysis method and a geographic detector model, and we quantitatively evaluated the individual effects and the synergistic effect of climate factors on the daily mean water use efficiency (WUED) and monthly mean water use efficiency (WUEM) in different ecosystems in China. Our results showed that (1) among the 10 carbon flux monitoring sites in China, WUED and WUEM exhibited the highest positive correlations with the near-surface air humidity and the highest negative correlation with solar radiation. The correlation between WUEM and climate factors was generally greater than that between WUED and climate factors. (2) There were significant differences in the order of importance and degree of impact of the same climate factors on WUED and WUEM in the different ecosystems. Among the 10 carbon flux monitoring sites in China, the near-surface air humidity imposed the greatest influence on the WUED and WUEM changes, followed by the near-surface water vapor pressure. (3) There were significant differences in the synergistic effects of the same climate factors on WUED and WUEM in the different ecosystems. Among the 10 carbon flux monitoring sites in China, the WUED variability was most sensitive to the synergistic effect of solar radiation and photosynthetically active radiation, while the WUEM variability was most sensitive to the synergistic effect of the near-surface air humidity and soil moisture. The research results indicated that synchronous responses of the WUE in very few ecosystems to the same climate factors and their synergistic effect occurred at daily and monthly scales. This finding enhances the understanding of sustainable water resource use and the impact of climate change on water use efficiency, providing crucial insights for improving climate-adaptive ecosystem management and sustainable water resource utilization across different ecosystems.
Adaptive Strategies and Sustainable Innovations of Chinese Contractors in the Belt and Road Initiative: A Social Network and Supply Chain Integration Perspective
Authors: Huang Jiaxin , Li Shui Ming
Published: October 2024

As global economic integration and rapid technological advancements transform international business, international engineering contracting has become essential for achieving sustainable development goals (SDGs). This paper investigates the significant impact of China’s strategic initiatives, notably the “Going Global” strategy and the Belt and Road Initiative (BRI), on the operational practices of Chinese enterprises involved in overseas investments. Central to this transformation is the Engineering, Procurement, and Construction (EPC) model, which emphasizes the integration of supply chain management and stakeholder collaboration to enhance performance in international EPC projects and underscores the crucial role of these elements in promoting sustainability. Incorporating insights from social network data analysis, this study reveals that contractors collaborating with various stakeholders—such as owners/consulting engineers, domestic and foreign customs departments, and group headquarters/design parties—exhibit a high degree of similarity in personnel profiles. This suggests that the internal organizational structure and personnel allocation of contractors could be optimized to enhance operational efficiency, aligning with the collaborative patterns identified. This study addresses a critical research gap by exploring how effective supply chain management and collaborative stakeholder engagement within multinational EPC projects contribute to sustainable outcomes. Employing advanced social network analysis software, the research examines the complex interactions among stakeholders and their influence on procurement dynamics. Findings indicate that strong relational networks and strategic collaborations significantly enhance procurement efficiency and project success, underscoring the importance of supply chain integration. Ultimately, integrating supply chain management principles into the EPC model not only offers innovative perspectives for advancing sustainability in international projects but also provides actionable insights for improving project outcomes within the BRI framework. This research underscores the pivotal role of supply chain organization and stakeholder cooperation in achieving sustainability objectives, thereby enriching the discourse on sustainable enterprise operation and supply chain management in the context of global initiatives.
Optimal Capacity Allocation for Life Cycle Multiobjective Integrated Energy Systems Considering Capacity Tariffs and Eco-Indicator 99
Authors: Li Jiyong , Hua Zeyi , Tian Lin , Chen Peiwen , Dong Hao
Published: October 2024

Traditional energy systems pose a significant threat to human social development due to fossil fuel depletion and environmental pollution. Integrated energy systems (IESs) are widely studied and applied due to their clean and low-carbon characteristics to achieve sustainable development. However, as integrated energy systems expand, their impact on ecosystems becomes more pronounced. This paper introduces the concept of the ecological damage index (EDI) to promote the sustainable development of integrated energy systems. Moreover, the introduction of a capacity tariff mechanism will impact the energy structure, making it essential to consider its effects on capacity allocation within integrated energy systems. This paper proposes a multiobjective optimization framework for constructing a capacity planning model for integrated energy systems, focusing on achieving a multidimensional balance between the economy, environment, and ecosystem using the life cycle assessment (LCA) method. Finally, the nondominated sorting genetic algorithm-II (NSGA-II) is employed to optimize the three objectives and obtain the Pareto frontier solution set. The optimal solution is selected from the solution set by combining the technique for order preference by similarity to ideal solution (TOPSIS) and Shannon entropy method. In comparison to scenarios with incomplete considerations, the multiobjective capacity optimization model proposed in this study exhibits significant improvements across the three metrics of cost, carbon emissions, and the ecological damage index, with a 19.05% reduction in costs, a 26.24% decrease in carbon emissions, and an 8.85% decrease in the ecological damage index. The study demonstrates that the model abandons traditional single-objective research methods by incorporating a multidimensional balance of the economy, environment, and ecosystems. This approach forms a foundational basis for selecting the optimal energy mix and achieving sustainable development in integrated energy systems. The life cycle assessment methodology evaluates impacts across all stages of integrated energy systems, providing a comprehensive basis for assessing and planning the sustainable development of the systems. The study offers guidance for the rational allocation of the integrated energy system capacity and advances the sustainable development of such systems.
Analysis of the Effects of Securing Baseflow and Improving Water Quality through the Introduction of LID Techniques
Authors: Han Jeongho , Lee Seoro
Published: October 2024

Rapid climate change and increasing water use have led to various problems in small- and medium-sized urban streams during dry periods, such as stream drying, water pollution, and ecological degradation, reducing their physical and ecological functions. Ensuring adequate baseflow and improving water quality during these critical periods are essential for maintaining urban stream health. While previous studies have explored the effects of Low Impact Development (LID) techniques (e.g., green roof, rainwater harvesting system, permeable pavement, infiltration trench) on infiltration and groundwater recharge, they have primarily focused on general flow regimes rather than dry and low-flow periods. This study specifically evaluates the effects of LID techniques on securing baseflow and improving water quality during dry periods, utilizing the SWAT-MODFLOW model and the Web-based Hydrograph Analysis Tool (WHAT) system. The results show that LID techniques reduce peak flow by an average of 27% and secure an additional 43% of baseflow during dry periods. Suspended solids (SS) and total phosphorus (T-P) concentrations were reduced by 15% and 41%, respectively. These findings demonstrate the effectiveness of LID techniques not only in managing stormwater runoff during flood events but also in maintaining baseflow and water quality during dry periods, thus providing valuable insights for sustainable urban watershed management.
Sustainability Optimization Method of Built Environment with Integrated Physical Environment and Virtual Perception Simulation: A Case Study of Campus Open Space
Authors: Wu Yizhou , Wu Yueer , Pan Yaxin
Published: October 2024

High-quality built environments significantly enhance residents’ health, urban livability, and sustainability. However, the lack of precise pre-evaluation of designs and user perceptions during the design phase often results in suboptimal improvements. This study proposes a method for evaluating and optimizing design schemes based on multidimensional physical environment simulations and virtual perception, using a university campus as a case study. Initially, we establish simulation models for sound, wind, thermal, and light environments and analyze the current state of virtual perception in the campus environment. Subsequently, we integrate the evaluation results of the physical environment and virtual perception to identify three priority intervention areas and develop corresponding design strategies. Finally, we reapply the method for pre-evaluation of the design schemes and further optimize the designs. The results show that the optimized schemes receive positive feedback in virtual perception evaluations. This study leverages the combined use of multidimensional physical environment simulations and VR technology to create an immersive virtual environment with measurable physical perception experiences, providing a new approach for guiding the sustainability of built environments.
Financial Strategies for Sustainability: Examining the Circular Economy Perspective
Authors: Munteanu Ionela , Ionescu-Feleagă Liliana , Ionescu Bogdan Ștefan
Published: October 2024

Circular economy (CE) research has advanced significantly in recent years in areas like environmental science, engineering, and technology. Governance presents CE strategies as imperative and compelling, often linked to efforts to achieve sustainable business development. However, the financial quantification of a CE is still underexplored and heterogeneous, with multiple research streams exploring the financial dimension. The aims of this study are twofold: (i) to analyze the productivity of the scientific literature and the conceptual evolution of circularity as it relates to financial strategies; and (ii) to formulate future research directions addressing a CE in close connection with financial sustainability knowledge. Bilbiometrix R-package 2023.12.1 and VOSviewer version 1.6.20 were used to analyze a sample of 279 articles retrieved from WoS and Scopus using the PRISMA protocol. The analysis covered the period 2010–2023, with the diachronic thematic analysis revealing four key themes: (1) CE and green financial performance; (2) environmental impact of CE; (3) performance approach of CE and metrics; (4) CE and sustainable development. Building on previous knowledge, we developed an integrated and multidisciplinary framework of CE embedded in financial performance. Future research agenda shaped by the emerging themes and research gaps can support managers, shareholders, or governance in incorporating CE policies into operational activities and strengthening sustainable circularity knowledge.
Sustainable Spatial Features of Settlements along the Miao Frontier Wall and Miao Frontier Corridor Analyzed through Machine Learning Clustering
Authors: Hao Yongchun , Li Zhe , Wu Jiade
Published: October 2024

This study employed unsupervised machine learning clustering algorithms to systematically analyze the spatial layout characteristics of residential buildings in villages along the Miao Frontier Wall and Miao Frontier Corridor in Western Hunan. The results indicated significant differences between the two regions in terms of the number of building clusters, distribution patterns, and compactness. A comparative analysis of the K-means and DBSCAN algorithms revealed that K-means is more effective in uncovering the internal spatial layout characteristics of settlements. Further analysis showed that villages along the Miao Frontier Wall exhibited greater diversity and complexity, whereas those along the Miao Frontier Corridor demonstrated higher clustering efficiency and denser internal building distribution. These differences can be attributed to variations in historical functions, geographical environments, planning concepts, and social structures. This research uncovers the spatial layout patterns of traditional settlements and proposes a machine learning-based approach to cultural heritage preservation, providing a theoretical foundation for future heritage conservation and spatial optimization, thereby promoting the sustainable development and protection of traditional cultural heritage.
Spatial Analysis of Middle-Mile Transport for Advanced Air Mobility: A Case Study of Rural North Dakota
Authors: Bridgelall Raj
Published: October 2024

Integrating advanced air mobility (AAM) into the logistics of high-value electronic commodities can enhance efficiency and promote sustainability. The objective of this study is to optimize the logistics network for high-value electronics by integrating AAM solutions, specifically using heavy-lift cargo drones for middle-mile transport and using the mostly rural and small urban U.S. state of North Dakota as a case study. The analysis utilized geographic information system (GIS) and spatial optimization models to strategically assign underutilized airports as multimodal freight hubs to facilitate the shift from long-haul trucks to middle-mile air transport. Key findings demonstrate that electronics, because of their high value-to-weight ratio, are ideally suited for air transport. Comparative analysis shows that transport by drones can reduce the average cost per ton by up to 60% compared to traditional trucking. Optimization results indicate that a small number of strategically placed logistical hubs can reduce average travel distances by more than 13% for last-mile deliveries. Cost analyses demonstrate the viability of drones for middle-mile transport, especially on lower-volume rural routes, highlighting their efficiency and flexibility. The study emphasizes the importance of utilizing existing infrastructure to optimize the logistics network. By replacing truck traffic with drones, AAM can mitigate road congestion, reduce emissions, and extend infrastructure lifespan. These insights have critical implications for supply chain managers, shippers, urban planners, and policymakers, providing a decision support system and a roadmap for integrating AAM into logistics strategies.
Multilevel Diffractive Lenses: Recent Advances and Applications
Authors: Shi Chenyu , Zhao Weipeng , Chen Sai , Li Wenli
Published: October 2024

Multilevel diffractive lenses (MDLs) has undergone considerable advancements, marked by their exceptional efficiency and diverse focusing capabilities, resulting in their widespread use in optical systems. In recent times, MDLs have consistently been juxtaposed with metalenses, which have experienced swift progress over the last decade. Concurrently, MDLs have continued to evolve, propelled by their distinct advantages, such as cost-effective production and adaptability for mass manufacturing. This article explores the evolution and foundational concepts of MDLs, highlighting the advantages of their circular symmetry in enhancing simulation and optimization efficiency. Furthermore, we present several innovative fabrication methods for MDLs that capitalize on the latest advancements in 3D printing technology. We also show the practical applications and potential future developments of MDLs.
Analyzing Rear-End Crash Counts on Ohio Interstate Freeways Using Advanced Multilevel Modeling
Authors: Almutairi Omar
Published: October 2024

This study presents a new modeling approach for rear-end crash counts on Ohio’s interstate freeways based on a dataset for 2021 that contains 2745 rear-end crashes. The analysis encompasses 20 interstate freeways, comprising 1833 homogeneous segments and extending over approximately 1313 miles. These interstate freeways exhibit varying safety performances, indicating a significant degree of heterogeneity. A unique rear-end crash risk rate was devised for each interstate, capturing diverse risk profiles. Three distinct models were developed: a standard negative binomial model, an uncorrelated two-level negative binomial model, and a correlated two-level negative binomial model. The correlated two-level negative binomial model demonstrated superior fit, as evidenced by the likelihood ratio test, Akaike information criterion, and Bayesian information criterion. The correlated two-level negative binomial model exhibited enhanced forecasting precision, as measured by the Root Mean Square Error. A significant finding is that the rear-end crash risk rate significantly improves the fit of the models. The study also reveals that rear-end crashes are expected to occur more frequently in urban segments of interstate freeways with high rear-end risk rates. However, rural segments experience no such significant variations in the rear-end crash risk rate. However, an increase in the inner shoulder width is associated with a decrease in expected rear-end crashes. This research offers a valuable methodology for modeling rear-end crashes on interstate freeways, providing insights into the contributing variables that could inform targeted safety improvements.
Long-Term Halocarbon Observations in an Urban Area of the YRD Region, China: Characteristic, Sources Apportionment and Health Risk Assessment
Authors: Jiang Yuchun , Zhang Anqi , Zou Qiaoli , Zhang Lu , Zuo Hanfei , Ding Jinmei , Wang Zhanshan , Li Zhigang , Jin Lingling , Xu Da , Sun Xin , Zhao Wenlong , Xu Bingye , Li Xiaoqian
Published: October 2024

To observe the long-term variations in halocarbons in the Yangtze River Delta (YRD) region, this study analyzes halocarbon concentrations and composition characteristics in Shanxi from 2018 to 2020, exploring their origins and the health effects. The total concentration of halocarbons has shown an overall increasing trend, which is driven by both regulated substances (CFC-11 and CFC-113) and unregulated substances, such as dichloromethane, chloromethane and chloroform. The results of the study also reveal that dichloromethane (1.194 ± 1.003 to 1.424 ± 1.004 ppbv) and chloromethane (0.205 ± 0.185 to 0.666 ± 0.323 ppbv) are the predominant halocarbons in Shanxi, influenced by local and northwestern emissions. Next, this study identifies that neighboring cities in Zhejiang Province and other YRD areas are potentially affected by backward trajectory models. Notably, chloroform and 1,2-dichloroethane have consistently surpassed acceptable thresholds, indicating a significant carcinogenic risk associated with solvent usage. This research sheds light on the evolution of halocarbons in the YRD region, offering valuable data for the control and reduction in halocarbon emissions.
Regarding Bioanalysis Lasting a Few Minutes: Automated Cooling-SPME and Fast-GC for Urinary 2-Phenyl-2-Propanol Monitoring
Authors: Dugheri Stefano , Fanfani Niccolò , Cappelli Giovanni , Marigliano Antonio , Bucaletti Elisabetta , Squillaci Donato , Rapi Ilaria , Venturini Lorenzo , Pizzella Giulia , Manetta Sara , Pavone Alfonso , Secchi Michele , Rainaldi Iacopo , Mucci Nicola
Published: October 2024

An innovative SPME head space GC–MS method, in cooling mode, using a fully automated routine, was developed to detect 2-phenyl-2-propanol, a representative urinary metabolite of cumene. Following an acid hydrolysis and derivatization step with lowered quantities of reagents, acetic anhydride and pyridine, a 30 μm polydimethylsiloxane SPME fiber was used to sample derivatized 2-phenyl-2-propanol, such as benzenemethanol,α,α-dimethyl-acetate, from the headspace. Performances of the method, optimized through experimental design, provide an LOD of 0.034 mg/L and an LOQ 0.10 mg/L, with a short sampling time necessary per sample. The method, developed on standard solutions, will be applied to both occupationally exposed and non-exposed populations.
Degradation of Atrazine in Water by Dielectric Barrier Discharge Combined with Periodate Oxidation: Enhanced Performance, Degradation Pathways, and Toxicity Assessment
Authors: Zhang Han , Duan Jinping , Luo Pengcheng , Zhu Luxiang , Liu Yanan
Published: October 2024

The widespread occurrence of atrazine (ATZ) in water environments presents a considerable risk to human health and ecosystems. Herein, the performance of dielectric barrier discharge integrated with periodate (DBD/PI) for ATZ decomposition was evaluated. Results demonstrated that the DBD/PI system improved ATZ decomposition efficiency by 18.2–22.5% compared to the sole DBD system. After 10 min treatment, the decomposition efficiency attained 82.4% at a discharge power of 68 W, a PI dosage of 0.02 mM, and an initial ATZ concentration of 10 mg/L. As the PI dosage increased, the decomposition efficiency exhibited a trend of initially increasing, followed by a decrease. Acidic conditions were more favorable for ATZ removal compared to alkaline and neutral conditions. Electron paramagnetic resonance (EPR) was adopted for characterizing the active species produced in the DBD/PI system, and quenching experiments revealed their influence on ATZ decomposition following a sequence of 1O2 > O2−• > IO3• > OH•. The decomposition pathways were proposed based on the theoretical calculations and intermediate identification. Additionally, the toxic effects of ATZ and its intermediates were assessed. This study demonstrates that the DBD/PI treatment represents an effective strategy for the decomposition of ATZ in aquatic environments.
Prediction of Dynamic Toxicity of Nanoparticles Using Machine Learning
Authors: Khokhlov Ivan , Legashev Leonid , Bolodurina Irina , Shukhman Alexander , Shoshin Daniil , Kolesnik Svetlana
Published: October 2024

Predicting the toxicity of nanoparticles plays an important role in biomedical nanotechnologies, in particular in the creation of new drugs. Safety analysis of nanoparticles can identify potentially harmful effects on living organisms and the environment. Advanced machine learning models are used to predict the toxicity of nanoparticles in a nutrient solution. In this article, we performed a comparative analysis of the current state of research in the field of nanoparticle toxicity analysis using machine learning methods; we trained a regression model for predicting the quantitative toxicity of nanoparticles depending on their concentration in the nutrient solution at a fixed point in time with the achieved metrics values of MSE = 2.19 and RMSE = 1.48; we trained a multi-class classification model for predicting the toxicity class of nanoparticles depending on their concentration in the nutrient solution at a fixed point in time with the achieved metrics values of Accuracy = 0.9756, Recall = 0.9623, F1-Score = 0.9640, and Log Loss = 0.1855. As a result of the analysis, we concluded the good predictive ability of the trained models. The optimal dosages for the nanoparticles under study were determined as follows: ZnO = 9.5 × 10−5 mg/mL; Fe3O4 = 0.1 mg/mL; SiO2 = 1 mg/mL. The most significant features of predictive models are the diameter of the nanoparticle and the nanoparticle concentration in the nutrient solution.
Immunogenicity and Determinants of Antibody Response to the BNT162b2 mRNA Vaccine: A Longitudinal Study in a Cohort of People Living with HIV
Authors: Baldovin Tatjana , Leoni Davide , Geppini Ruggero , Miatton Andrea , Amoruso Irene , Fonzo Marco , Bertoncello Chiara , Finco Mascia , Mazzitelli Maria , Sasset Lolita , Cattelan Annamaria , Baldo Vincenzo
Published: October 2024

Background: The COVID-19 pandemic posed significant challenges worldwide, with SARS-CoV-2 vaccines critical in reducing morbidity and mortality. This study evaluates the immunogenicity and antibody persistence of the BNT162b2 vaccine in people living with HIV (PLWH). Methods: We monitored anti-SARS-CoV-2 Spike IgG concentration in a cohort of PLWH at five time points (T0–T4) using chemiluminescent microparticle immunoassays (CMIAs) at the baselined both during and after vaccination. In severely immunocompromised individuals, a boosting dose was recommended, and participants and IgG concentration were measured in the two subgroups (boosted and not boosted). Results: In total, 165 PLWH were included, and 83% were male with a median age of 55 years (IQR: 47–62). At T1, 161 participants (97.6%) showed seroconversion with a median of IgG values of 468.8 AU/mL (IQR: 200.4–774.3 AU/mL). By T2, all subjects maintained a positive result, with the median anti-SARS-CoV-2 Spike IgG concentration increasing to 6191.6 AU/mL (IQR: 3666.7–10,800.8 AU/mL). At T3, all participants kept their antibody levels above the positivity threshold with a median of 1694.3 AU/mL (IQR: 926.3–2966.4 AU/mL). At T4, those without a booster dose exhibited a marked decrease to a median of 649.1 AU/mL (IQR: 425.5–1299.8 AU/mL), whereas those with a booster experienced a significant increase to a median of 13,105.2 AU/mL (IQR: 9187.5–18,552.1 AU/mL). The immune response was negatively influenced by the presence of dyslipidaemia at T1 (aOR 4.75, 95% CI: 1.39–16.20) and diabetes at T3 (aOR 7.11, 95% CI: 1.10–46.1), while the use of protease inhibitors (aORs 0.06, 95% CI: 0.01–0.91) and being female (aOR 0.02, 95% CI: 0.01–0.32) at T3 were protective factors. Conclusions: The immunogenicity of the BNT162b2 vaccine in PLWH has been confirmed, with booster doses necessary to maintain high levels of anti-SARS-CoV-2 Spike IgG antibodies, especially in patients with comorbidities. These findings underline the importance of a personalized vaccination strategy in this population.
The Effects of Adding Hempseed Cake on Sperm Traits, Body Weight, Haematological and Biochemical Parameters in Rabbit Males
Authors: Baláži Andrej , Svoradová Andrea , Kováčik Anton , Vašíček Jaromír , Chrenek Peter
Published: October 2024

Incorporating of agro-industrial co-products into animal nutrition could represent an opportunity to lessen the environmental impact of the food production chain. One such co-product is a hempseed cake originating from cold pressing hemp seeds to extract oil for human consumption. The aim of the present study was to evaluate the action of hempseed cake in the diet on male rabbit reproductive and some non-reproductive indexes. Male rabbits were fed either a standard diet (control group; C; n = 10) or a diet enriched with hempseed cake (experimental group E5 with 5% of a hempseed cake; n = 10, and experimental group E10 with 10% of a hempseed cake; n = 10) in 100 kg of the milled complete feed mixture. Rabbit weight gain, sperm concentration, motility, progressive motility, and sperm quality were evaluated using CASA and flow cytometry. Feeding with a hempseed cake, given at both tested concentrations, had no effect on weight gain per week and the total average weight gain compared to the control group (p > 0.05). Hempseed cake addition had no effect on sperm concentration in ejaculate, sperm motility, and progressive motility (p > 0.05). Selected haematological and biochemical indexes were examined. The E5 group showed positive tendencies in hepatic profile parameters, while in the E10 group the tendencies were opposite, though within the reference values. Based on our results, no negative effects of hempseed cake feeding on rabbit reproduction and health status were found, and we can recommend the use of hempseed cake at doses up to 10% in the nutrition and feeding of rabbits. Therefore, agro-industrial co-products can decrease the feeding cost.
Apart-hotel market, development features
Authors:   Graduate School of Management, Patrice Lumumba Russian People’s Friendship University, Moscow, Bagirova A. R.
Published: October 2024

The article examines the market of apartment hotels, its competitive advantages, development features and standards. The analysis of types of apartment hotels and forecasting of hotel announcements is carried out.
The books of the Old Testament as sacred literature of the Christian Church
Authors:   Faculty of Geology Slavic-Greek-Latin Academy, Trakhanov Yu.D.
Published: October 2024

This article is devoted to the analysis of the question of the validity of the non-recognition of the books of the Old Testament as sacred literature in Christianity. There is an opinion that for Christian communities, only those that are included in the New Testament are sacred books. Despite the fact that this issue was considered in early Christianity and discussed in detail at Councils in the second half of the fourth century, there is still a periodic need to substantiate the inspiration of the books of the Old Testament. The article concludes that the Old Testament should be accepted as the sacred literature of Christians. At the same time, it is noted that in modern Christianity, the position that confirms the sanctity of the books of the Old Testament prevails. This article is also intended to contribute to the defense of the Old Testament as Christian literature.
Analysis of the development of organic crop production in Latin America
Authors:   Federal State Budgetary Educational Institution of Higher Education Russian State Agrarian University — Moscow State Agricultural Academy named after K.A. Timiryazev, Moscow, Russia, Khoruzhiy L. I. , Ibragimov A. G. ,   Federal State Budgetary Educational Institution of Higher Education Russian State Agrarian University — Moscow State Agricultural Academy named after K.A. Timiryazev, Moscow, Russia, Kirillova S. S. ,   Federal State Budgetary Educational Institution of Higher Education Russian State Agrarian University — Moscow State Agricultural Academy named after K.A. Timiryazev, Moscow, Russia
Published: October 2024

The paper is devoted to the study of the process of development of organic production as a global trend in agriculture. The objects of the research are the countries of Latin America, as territories that are promising in terms of large-scale and rapidly developing organic agriculture for export and domestic consumption — Uruguay, Paraguay, Brazil, Argentina, Chile, Mexico, Dominican Republic. The countries have large land funds and favorable agroclimatic conditions in most of their territories. In the work, based on the application of methods of time series alignment and the graphical method, trends in demand for the purchase and subsequent use of pesticides, the prevalence of malnutrition in Latin America and in the world, as well as prospects for the development of organic crop production by such an indicatosr as the total area of organic lands and number of producers are identified. The simple linear regression model constructed by the authors made it possible to establish the relationship between the volumes of greenhouse gas emissions and the average annual temperature, which made it possible to establish the need to reduce the use of synthetic fertilizers and pesticides to achieve sustainable development goals. Calculation of the linear and quadratic coefficients of structural shifts, as well as the index of differences, made it possible to identify structural changes in priority groups of crops for growing organic crops.