Crowd-based collaboration caching mechanism in smart identifier network by Haifeng LI, Wei QUAN, Nan CHENG, Hongke ZHANG, Xuemin SHEN

“…Smart identifier network (SINET) is an innovative network architecture.Through dynamic collaboration of service resource,function groups and physical components,the network scalability,resource utilization and service quality were effectively improved by SINET,and an effective solution for the development of industrial Internet of things(IoT) could be provided.To promote content delivery in resource-constrained IoT,caching function was introduced in network components by SINET,and the bandwidth waste caused by traffic redundancy in resource-constrained node could be reduced.Therefore,how to efficiently cache content became an important research topic.Based on SINET architecture,a crowd-based collaboration cache (C2Cache) mechanism was proposed in this scheme.According to the actual network topology,the caching function group was dynamically created and optimized by C2Cache,and a function group as crowd minimum unit to execute the maximum benefit cache (MBC) algorithm was defined to maximize the caching space efficiency.With the self-developed emulation system,named EmuStack,the performance of C2Cache was evaluated.The experimental results show that,comparing with LCE,Random,Prob Cache,LCD and Greedy caching mechanisms,the cache hit rate can be improved effectively,then the average access time can be reduced significantly by C2Cache.In the simulated network scenario,the performance increases 15% to 30%.…”
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Distinct catecholaminergic pathways projecting to hippocampal CA1 transmit contrasting signals during navigation in familiar and novel environments by Chad Heer, Mark Sheffield

“…We therefore utilized two-photon microscopy to functionally image the activity of VTA and LC axons within the CA1 region of the dorsal hippocampus in head-fixed male mice navigating linear paths within virtual reality (VR) environments. …”
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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

“…Heuristic search optimization methods are typically used to minimize the loss function in ANNs. However, these methods can lead the network to become stuck in local optima, limiting performance. …”
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Teachers’ beliefs and challenges of using multimedia for teaching visuals in social work: A study of Bangladeshi government college by Md. Habibul Ahasan

“…The research findings also reveal that educators encounter certain obstacles, such as inadequate proficiency in utilizing multimedia with visual aids, insufficient availability of multimedia classrooms and equipment, a lack of proper training and low internet speed, the absence of backup power sources, and a lack of additional financial incentives for their supplementary efforts. …”
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Revolutionizing Cosmetic Ingredients: Harnessing the Power of Antioxidants, Probiotics, Plant Extracts, and Peptides in Personal and Skin Care Products by Hye Yung Choi, Yun Jung Lee, Chul Min Kim, Young-Mi Lee

“…Probiotics have expanded their utility beyond gut health to skin care, where they help in maintaining skin microbiome balance, thus enhancing skin barrier function and potentially mitigating various skin disorders. …”
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Gender Stereotypes and Green Banking Toward Carbon-Free Economy by Tetyana Pimonenko, Oleksii Lyulyov, Yana Us, Oleksii Dubyna, Osei Owusu Evelyn Kumah

“…To gain the research goal, this study applied the modified Cobb-Douglas function that utilizes cross-sectional data on green finance and gender determinants. …”
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Research on prediction method of well logging reservoir parameters based on Multi-TransFKAN model by Huazhong Yang, Zhang Chong, Lei Xiong, Wenhao Xiong, Guilan Lin, Kaiwen Huang, Wenyi Zhang

“…Abstract Accurate prediction of reservoir parameters is crucial for enhancing oil exploration efficiency and resource utilization. Although existing deep learning methods have made some progress in reservoir parameter prediction, they still face accuracy limitations in multi-task prediction. …”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…To improve the real-time performance of the DEtection TRansformer (DETR) model on these edge devices, a novel Lightweight Decoder-only DETR (LD-DETR) is proposed for defect detection of PV modules, which achieves high performance and low computational cost with an easy architecture. We remove the resource-intensive Transformer Encoder structure from the DETR baseline so that the Decoder can directly utilize the finely fused features produced by a specialized lightweight convolution module that includes an upsample operation to preprocess the features. …”
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Application of 5G + edge computing technology in intelligent monitoring construction of electricity business office by Wei Cui, Junwei Li, Wei Ge, Bo Zhang, Tianwei Liu

“…This paper proposes a heterogeneous node deployment algorithm based on regional density, which divides the network regionally by raster and heterogeneous node communication range, and determines the optimal location of heterogeneous nodes by regional density, realizing the reasonable allocation and utilization of network resources. This paper also proposes an edge scheduling algorithm based on game theory, which enables each edge device to choose the optimal data processing task according to its own utility function through a non-cooperative game model, realizing the optimization of the efficacy and accuracy of data processing. …”
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Genetic Differentiation for Gene Diversity among Pearl Millet (Pennisetum glaucum (L.) R. Br.) Landraces As Revealed by SSR Markers by Lardia Ali Bougma, Mahamadi Hamed Ouédraogo, Adjima Ouoba, Abdou Azaque Zouré, Nerbéwendé Sawadogo, Mahamadou Sawadogo

“…Our study will provide a scientific basis for the effective management and utilization of germplasm resources of pearl millet populations.…”
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The Scarlet Alchemy of Survival: Integrated Transcriptomic and Metabolomic Analysis of Leaf Coloration in Endangered <i>Parrotia subaequalis</i> by Lifang Zhang, Aya Hafsi, Xianting Wang, Chenyun Zhang, Zedong Lang, Mingjian Yu, Yanming Fang

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Evaluation of China's maritime power construction index and policy textual analysis by Kuncheng Zhang, Shi-Zheng Tian, Yong Wu, Jiale Wu, Na Liu, Donghai Wang

“…This research dynamically quantifies the trajectory of China's maritime power construction, synthetic reflecting the country's macroeconomic policy guiding function. Guiding the transformation of the marine resources utilization, marine economy development, marine scientific research and marine rights and interests maintenance and effectively serving the decision-making needs of the government.…”
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Pilot trial of upcycling of MSWI fly ash into mineral wool: Effects of fluxing agents on vitrification, viscosity and heavy metal immobilization by Yike Zhang, Zengyi Ma, Mengxia Xu, Jingqi Sun, Bingyi Zhang, Jiadong Zhang, Penglin Ma, Jianhua Yan

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Coconut shell activated carbon engineered for triphasic adsorption and multimechanistic removal of emerging contaminant F-53B by Yongming Wu, Kexuan Pei, Jiayu Zhou, Jianzhong Xiong, Yu Liu, Panrong Li, Fangfei Li, Jiaqi Wang, Xiangmin Liu, Mi Deng, Chenxi Wu

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The heat shock transcription factors regulate response mechanisms to abiotic stresses in plants by Yu-Xiao Wang, Jian-Hong Xu

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Microbial composition, bioactive compounds, and sensory evaluation of Kombucha prepared with green tea and black tea by Jiayi Yuan, Qing Nie, Wenjing Pan, Zhonghua Liu, Jianhua Wu, Zhusheng Liu, Shuxian Cai

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The disinfectant effects of portable ultraviolet light devices and their application to dentures by Kae Harada, Reiya Horinouchi, Mamoru Murakami, Masakazu Isii, Yuji Kamashita, Naohiro Shimotahira, Fumio Suehiro, Yasuhiro Nishi, Hiroshi Murata, Masahiro Nishimura

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Changes in potential pathogenicity-associated proteins of Helicobacter cinaedi upon infection of macrophage cells by A. K. Voronina, B. A. Efimov, B. A. Efimov, M. V. Malakhova, P. V. Shnaider, O. M. Ivanova, M. Bogomiakova, V. O. Shender, V. O. Shender, M. A. Lagarkova, G. P. Arapidi, G. P. Arapidi, G. P. Arapidi

“…Beyond known virulence factors (HcaA, Cdt, AhpC), we identified poorly characterized proteins with toxic or immunomodulatory functions. Notably, some upregulated proteins enable cholesterol utilization as a carbon source, while others may participate in a toxin injection mechanism disrupting host cell metabolism—potentially linked to foam cell formation.ConclusionOur findings provide new insights into H. cinaedi pathogenicity, highlighting previously unexplored virulence mechanisms. …”
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Multifunctional Adsorbent with Antibacterial Properties Derived from Municipal Sludge for Synergistic Removal of Fluoride, Uranium, and Dyes by Weiwei Yang, Xiaoxuan Fan, Wenfeng Li, Gang Wei, Lei Guo

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Study on the driving factors of spring agricultural drought in Northeast China from the perspective of atmosphere and snow cover by Wei Pei, Yi Su, Qiang Fu, Yongtai Ren, Tianxiao Li

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