bluuebunny/crossref_metadata_2025_split huggingface dataset:
Linking green supply chain management practices with perceived environmental performance: A mediated moderation model
Authors: Hosain Md Sajjad , Mustafi Mohitul Ameen Ahmed 
Published: November 2024

AbstractThis empirical study intends to identify the relationships between three green supply chain management practices (GSCMPs) [green purchase (GP1), green production (GP2) and employee green orientation (EGO)]; and perceived environmental performance (PEP) based on stakeholder theory. The study also included one mediator, perceived social responsibility (PSR) to test its mediating effects in three direct relationships and one moderator, perceived regulatory pressure (PRP), to test the moderation in the relationship between PSR and PEP. The study used a deductive methodology based on a cross‐sectional survey design. IBM SPSS 29 was used for descriptive analysis and a variance‐based partial least square structural equation modelling (PLS‐SEM) (through PLS 4.0) was used for testing the hypothesised relationships. The study found that, first of all, all the three independent constructs have significant positive relationships with the dependent variable, PEP. Second, GP2 and EGO have significant positive relationships with the mediator, PSR while GP1 has an insignificant relationship with PSR. Third, the mediator (PSR) is positively related to PEP. Fourth, regarding the mediating effects, the study identified that PSR partially mediates the relationships between GP2 and PEP as well as between EGO and PEP while PSR does not mediate the relationship between GP1 and PEP. Finally, the study identified that PRP strengthens the positive relationship between PSR and PEP. It is strongly anticipated that this empirical study will spark further theoretical research and empirical experiments on GSCMP‐oriented environmental performance. The study incorporated two unique variables as mediator and moderator that can open a new avenue for the upcoming research initiatives. Furthermore, the study's findings can serve as a foundation for the policymakers and/or managers working on the formulation and implementation of green supply chain management‐related policies and strategies.
Design of a Multiband Antenna Using Auxiliary Classifier Wasserstein Generative Adversarial Network for IoT Applications
Authors: Bessant Y. R. Annie 
Published: November 2024

ABSTRACTThe rapid expansion of Internet of Things (IoT) applications presents unprecedented challenges for antenna design, demanding solutions that are versatile, efficient, and capable of operating across multiple frequency bands. This paper addresses these challenges through the development of a design of a multiband antenna using Auxiliary Classifier Wasserstein Generative Adversarial Network for IoT applications (DMA‐ACWGAN‐IoT). Here, the Auxiliary Classifier Wasserstein Generative Adversarial Network (ACWGAN) is employed to generate synthetic data representing electromagnetic field distributions and antenna characteristics across various frequencies. The proposed metamaterial‐based Multiple‐Input Multiple‐Output (MIMO) antenna contains four discrete elements, each provided by a micro strip feed. The structures overall width and length are 60 and 52 mm. The metamaterial is printed on a patch and dispersed from the fields with the most effective coupling. The proposed structures strong impedance bandwidth works at 8.3 GHz, 10.8 GHz, 12.3 GHz, 13.7 GHz, 16.1 GHz, and 18.1 GHz, fabricating the proposed antenna prototype using a substrate made of FR‐4 material. The proposed DMA‐ACWGAN‐IoT design provides 6.5 dB maximum gain and 25.40%, 21.60%, and 20.05% higher efficiency compared to existing dual band antenna design with resonance frequency prediction under machine learning models (DBA‐PRF‐ML), machine learning verification depending on a distinctive SWB multiple slotted four‐port high isolated MIMO antenna loaded with metasurface for the applications of IoT (SWB‐MIMO‐IOT‐ML), and dual‐band miniaturized composite right–left‐handed transmission line ZOR antenna along machine learning method for microwave communication (DB‐ZORA‐MC‐ML).
Optimized Graph Sample and Aggregate‐Attention Network‐Based High Gain Meta Surface Antenna Design for IoT Application
Authors: Rohit Penki , Datta Amlan , Satyanarayana Moturi 
Published: November 2024

ABSTRACTThis paper presents a High Gain Metasurface (HGM) antenna design optimized for IoT applications. The antenna operates at a 5.8 GHz frequency and utilizes a quarter‐wavelength unit cell structure. The design employs a Graph Sample and Aggregate‐Attention Network (GSAAN) to enhance the transmission characteristics of the metasurface. To optimize the performance of GSAAN, the Giza Pyramids Construction Algorithm (GPCN) is applied to adjust the weight parameters, leading to significant improvements in radiation efficiency, bandwidth, gain, directivity, and return loss. The proposed HGM antenna is simulated in MATLAB 2023b, where it demonstrates substantial performance gains over existing methods. Specifically, the proposed design achieves 28.34% higher gain compared to the MSA‐RHCOA method, 24.47% improvement over HGM‐AD‐MATCS, 26.34% better gain than BR‐HGA‐PGM, and a 32.12% gain increase relative to MSA‐Hyb‐ADSA‐HMSOA. These enhancements make the proposed antenna design a competitive solution for high‐gain applications in wireless communication, satellite communication, and radar systems. The integration of GSAAN with GPCN optimization in the HGM antenna design enables the creation of highly directive radiation patterns, making it well‐suited for IoT applications that require high performance and reliability. The results of this study demonstrate the effectiveness of the proposed approach in achieving superior antenna performance, positioning it as a strong alternative to existing metasurface antenna designs.
Global Disease Burden Attributable to High Body Mass Index in Young Adults From 1990 to 2019, With Projections to 2050: A Systematic Analysis for the Global Burden of Disease Study 2019
Authors: Wang Jingxuan , Huang Yue , Feng Nannan , Xu Lan , Du Xihao , Chen Meng , Yang Guangrui , Li Yiyuan , Wang Hui , Zhong Victor W. 
Published: November 2024

ABSTRACTAimsThe global historical and projected health impacts of the escalating burden of obesity on young adults, who are particularly susceptible to weight gain during transitional life stages, remain insufficiently understood.Materials and MethodsUsing data from the Global Burden of Disease Study 2019, we analysed the disability‐adjusted life‐years (DALYs) and deaths attributable to high body mass index (BMI) among young adults aged 20–44 years globally and by age, sex, year, location and disease between 1990 and 2019. Future projections until 2050 were further assessed.ResultsThe global burden for young adults attributable to high BMI more than doubled from 1990 to 2019, reaching 24,509.8 (95% uncertainty interval [UI] 20,191.8–28,966.0) thousand for DALYs and 321.9 (258.3–384.2) thousand for deaths. Males had a higher burden and faster increase than females. The burden escalated with advancing age. From 1990 to 2019, regions with middle Socio‐demographic Index (SDI) replaced regions with high‐middle SDI to have the highest age‐standardized rates of DALYs and deaths, while regions with low‐middle SDI witnessed the largest rise. Stroke, ischaemic heart disease and diabetes mellitus were consistently the top three causes of high BMI‐related burden, together accounting for 74.7% (70.8–78.4) for DALYs and 81.2% (77.6–84.2) for deaths in 2019. By 2050, the age‐standardized rates of DALYs due to high BMI tripled that in 1990, with the corresponding rates for deaths expected to double. Among the 10 most populous countries, India was projected to have the highest rates and the fastest increase in both DALYs and deaths by 2050.ConclusionsThe escalating disease burden attributable to high BMI in young adults, marked by notable demographic and geographic variations, highlights the urgent need for tailored public health interventions on weight management during young adulthood.
Understanding the effects of livestock grazing on dryland plant communities within the context of abiotic variability
Authors: Carpenter Scott M. , Burke Ingrid C. , Lauenroth William K. 
Published: November 2024

AbstractDrylands, which cover more than 40% of the Earth's terrestrial surface, face rising agricultural demand and the influence of climate change. Understanding how livestock grazing pressure and local climate affect these environments is pivotal for informed land management. We studied big sagebrush plant communities in southwestern Wyoming over grazing gradients created by artificial livestock watering points. To explore the role of abiotic factors in shaping plant community response to grazing, we assessed the response of plant functional groups to grazing while accounting for soil texture variability across a precipitation gradient. Our models estimated that sagebrush cover responded positively to grazing intensity, with a 6% increase in cover with intensity when comparing the heaviest grazing treatment with the lowest grazing intensity. Perennial bunchgrass cover, the primary forage component, had a small negative response, a 3% decrease in cover from the lowest grazing intensity to the highest. Grazing intensity had no effect on bunchgrass density, perennial forbs, or rhizomatous grasses. Compared with abiotic factors, grazing intensity had a small effect on perennial bunchgrass and bare ground. We found that precipitation explained a 13% increase in perennial bunchgrass cover and a 34% decrease in bare ground cover compared with a 6% increase with increasing intensity across our grazing gradients. Sand content also had a larger effect on perennial bunchgrass cover and density than grazing. Increased sand content was associated with increased bunchgrass cover and density, supporting the inverse texture hypothesis. Our results show that while livestock grazing impacts sagebrush plant communities, its effect is small when compared with the effects of climate and soil. Our study contributes to a growing body of research emphasizing the need to contextualize plant community responses to grazing within specific climatic and edaphic conditions, which will promote effective land management in dryland ecosystems.
Development of an Autonomous Mobile Robot to Transport Heavy Objects on Narrow Alleys and Steep Slopes
Authors: Kanazawa Yuichiro , Li Peirang , Zhu Chi 
Published: November 2024

ABSTRACTIn this study, we developed a four‐wheel‐driven autonomous mobile robot to transport heavy objects on narrow alleys and steep slopes. The robot, which weighs 450 kg, is driven by four 650 W hub motors to climb 20° steep slopes and travel through a narrow alley. Two 2D‐LiDARs attached to the front and rear of the robot body are used for highly accurate driving. A method based on the least squares approach for estimating the position and posture of the robot body is proposed by using the point cloud information of the side wall of the narrow alley. Field experiments on test courses demonstrated that the autonomous robot could transport heavy objects over steep slopes and travel in a narrow alley with high accuracy.
Research hotspots and evolution trends of food safety risk assessment techniques and methods
Authors: Wang Liru , Yu Xueli 
Published: November 2024

AbstractFood safety incidents frequently occur in China and other countries. Food safety risk management has evolved from harm‐based to risk‐based approaches to control risks more scientifically and effectively. Risk assessment is at the core of risk control and provides a scientific basis for the development of risk management measures. Therefore, analyzing the research status and development trends of food safety risk assessment technologies and methods is important for improving food safety risk assessment and risk management. In this study, CiteSpace software was used to analyze a knowledge graph of popular research topics in the field of food safety risk assessment over the past 14 years, identify research keywords, and provide centrality statistics. Food safety risk assessments primarily focus on in vitro high‐throughput testing, computational toxicology, predictive microbiology, mechanistic research, and other technical methods. In the future, international coordination, cooperation, and cross‐integration of relevant disciplines should be strengthened, and research on and application of innovative technologies for food safety risk assessment should be promoted. Research on food safety risk assessment technologies and methods is in an active development stage and has good prospects for further exploration and application.
Enhancing Solar Convection Analysis With Multi‐Core Processors and GPUs
Authors: Heidari Arash , Amiri Zahra , Jamali Mohammad Ali Jabraeil , Navimipour Nima Jafari 
Published: November 2024

ABSTRACTIn the realm of astrophysical numerical calculations, the demand for enhanced computing power is imperative. The time‐consuming nature of calculations, particularly in the domain of solar convection, poses a significant challenge for Astrophysicists seeking to analyze new data efficiently. Because they let different kinds of data be worked on separately, parallel algorithms are a good way to speed up this kind of work. A lot of this study is about how to use both multi‐core computers and GPUs to do math work about solar energy at the same time. Cutting down on the time it takes to work with data is the main goal. This way, new data can be looked at more quickly and without having to practice for a long time. It works well when you do things in parallel, especially when you use GPUs for 3D tasks, which speeds up the work a lot. This is proof of how important it is to adjust the parallelization methods based on the size of the numbers. But for 2D math, computers with more than one core work better. The results not only fix bugs in models of solar convection, but they also show that speed changes a little based on the gear and how it is processed.
A universal reverse‐cool annealing strategy makes two‐dimensional Ruddlesden‐popper perovskite solar cells stable and highly efficient with Voc exceeding 1.2 V
Authors: Xie Zhongqi , Luo Huiming , Jiang Qing‐Song , Zhao Ya , Peng Yong , Yuan Ligang , Yan Keyou , Abdi‐Jalebi Mojtaba 
Published: November 2024

AbstractTwo‐dimensional Ruddlesden‐Popper (2D RP) layered metal‐halide perovskites have garnered increasing attention due to their favorable optoelectronic properties and enhanced stability in comparison to their three‐dimensional counterparts. Nevertheless, precise control over the crystal orientation of 2D RP perovskite films remains challenging, primarily due to the intricacies associated with the solvent evaporation process. In this study, we introduce a novel approach known as reverse‐cool annealing (RCA) for the fabrication of 2D RP perovskite films. This method involves a sequential annealing process at high and low temperatures for wet perovskite films. The resulting RCA‐based perovskite films show the smallest root‐mean‐square value of 23.1 nm, indicating a minimal surface roughness and a notably compact and smooth surface morphology. The low defect density in these 2D RP perovskite films with exceptional crystallinity suppresses non‐radiative recombination, leading to a minimal non‐radiative open‐circuit voltage loss of 149 mV. Moreover, the average charge lifetime in these films is extended to 56.3 ns, thanks to their preferential growth along the out‐of‐plane direction. Consequently, the leading 2D RP perovskite solar cell achieves an impressive power conversion efficiency of 17.8% and an open‐circuit voltage of 1.21 V. Additionally, the stability of the 2D RP perovskite solar cell, even without encapsulation, exhibits substantial improvement, retaining 97.4% of its initial efficiency after 1000 hours under a nitrogen environment. The RCA strategy presents a promising avenue for advancing the commercial prospects of 2D RP perovskite solar cells.image
Floor Heave Mechanism and Control Technique of Water‐Rich Soft‐Rock Roadway in Thick Coal Seam
Authors: He Fulian , Zhai Wenli , Liu Weixin , Sun Ning , Song Jiayu , Zhang Jianlong , Wu Yanhao 
Published: November 2024

ABSTRACTThe severe deformation of the surrounding rock of the coal floor in Shanghaimiao mining area is affecting the safe, efficient production of mine wells in this region. In this study, the heave mechanism and control of the roadway floor were investigated through laboratory experiments, field research, theoretical analysis, numerical simulation, and on‐site testing. The results showed that the main reason for the serious damage to the roadway floor was the low strength of the surrounding rock of the roadway floor, and floor damage was exacerbated by the low support strength, hydraulic effects, and mining impact. A mechanical model of the asymmetric floor heave was established, and it was found that the stability of the roadway floor was positively correlated with the floor rock type, the stress concentration coefficients on the two sides of the roadway, and the burial depth, whereas it was negatively correlated with the cohesive force and internal friction angle of the floor rock mass. Expressions for the upward resultant force R of the roadway floor and the stress concentration coefficients K and K′ on both sides of the roadway were derived. The results of a FLAC3D numerical simulation analysis showed that the stress peak in front of the working face was 36 MPa, with a stress concentration factor of 3.7. After the floor support was reinforced, the floor heave was remarkably reduced, with a maximum value of approximately 600 mm, and the floor deformation became somewhat asymmetric. Finally, a double‐seal floor‐reinforcing “inverted arch” control technique was proposed and tested on‐site. The new system could efficiently and stably support the surrounding rock of the roadway.
Multiple metabolic engineering of Saccharomyces cerevisiae for the production of lycopene
Authors: Liu Jiaheng , Song Minxia , Xu Xianhao , Wu Yaokang , Liu Yanfeng , Du Guocheng , Li Jianghua , Liu Long , Lv Xueqin 
Published: November 2024

AbstractLycopene is a high‐value‐added tetraterpenoid, which is widely used in cosmetics, medicine, food, and dietary supplements. The intracellular mevalonate pathway of Saccharomyces cerevisiae provides natural precursors for terpenoid product synthesis, so it is an excellent host for the heterologous production of lycopene. In this study, a recombinant strain named L10 with efficient lycopene production capability was constructed through multiple strategies, such as regulating the gene copy number of key enzymes, increasing nicotinamide adenine dinucleotide phosphate supply, and reducing squalene accumulation. Then, considering that intracellular lycopene accumulation can cause cytotoxicity to S. cerevisiae, we attempted to identify a transporter that can efficiently transport lycopene from intracellular to extracellular space. Molecular docking simulations predicted that the ATP‐binding cassette transporter Snq2p may be a potential transporter of lycopene, and its function in promoting lycopene secretion was further determined by overexpression verification. The lycopene secretion titer of the strain L10Z2 overexpressing Snq2p increased to 16.5 times that of the control at the shake‐flask level. After optimizing the galactose regulation system, the intracellular and secreted lycopene production of L11Z2 reached 2113.78 and 26.28 mg/L, respectively, after 150 h fed‐batch culture in a 3‐L bioreactor. This work provides a new research direction for efficient lycopene synthesis in S. cerevisiae cell factory.
CO₂ sequestration and soil improvement in enhanced rock weathering: A review from an experimental perspective
Authors: Cong Lianghan , Lu Shuaiyi , Jiang Pan , Zheng Tianqi , Yu Ziwang , Lü Xiaoshu 
Published: November 2024

AbstractEnhanced rock weathering (ERW) is an emerging negative emission technology (NET) with significant potential for mitigating climate change and improving soil health through the accelerated chemical weathering of silicate minerals. This study adopts a critical research approach to review existing ERW experiments, focusing on the mechanisms of soil improvement and CO₂ sequestration, as well as the economic costs and environmental risks associated with its large‐scale implementation. The results demonstrate that while ERW effectively enhances soil pH and provides essential nutrients for crops, its CO₂ sequestration capacity is highly dependent on variables such as soil type, rock type, application rate, and particle size. Furthermore, the economic feasibility of ERW is challenged by high costs related to mining, grinding, and transportation, and environmental risks posed by the release of heavy metals like Ni and Cr during the weathering process. Notably, significant discrepancies exist between laboratory experiments and field applications, highlighting the need for extensive in‐situ monitoring and adjustment of ERW practices. This study underscores the importance of optimizing ERW strategies to maximize CO₂ sequestration while minimizing environmental impacts. Future research should focus on long‐term field experiments, understanding secondary mineral formation, and refining the application techniques to enhance the overall efficiency and sustainability of ERW. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.
Impact of hospital‐physician vertical integration on physician‐administered drug spending and utilization
Authors: Levin Jonathan S. , Zhao Xiaoxi , Whaley Christopher 
Published: November 2024

AbstractWe estimate the effects of hospital‐physician vertical integration on spending and utilization of physician‐administered drugs for hematology‐oncology, ophthalmology, and rheumatology. Using a 100% sample of Medicare fee‐for‐service medical claims from 2013 to 2017, we find that vertical integration shifts treatments away from physician offices and toward hospital outpatient departments. These shifts are accompanied by increases in physician‐administered drug administration spending per procedure for all three specialties. Spending on Part B drugs also increases for hematologist‐oncologists. At the same time, physician treatment intensity, as measured by the number of beneficiaries who receive drug infusions/injections and the number of drug infusions, decreases across all three specialties. These results suggest that the incentives of the Medicare reimbursement system, particularly site‐of‐care payment differentials and outpatient drug reimbursement rates, interact with vertical integration to lead to higher overall spending. Policies and merger guidelines should attempt to restrain spending increases attributed to vertical integration.