Research on Mobile Agent Path Planning Based on Deep Reinforcement Learning by Shengwei Jin, Xizheng Zhang, Ying Hu, Ruoyuan Liu, Qing Wang, Haihua He, Junyu Liao, Lijing Zeng

“…Concurrently, conventional reinforcement learning methods struggle to converge rapidly, leading to an insufficient efficiency in planning to meet the demand for energy economy. …”
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Reliable, efficient, and scalable photonic inverse design empowered by physics-inspired deep learning by Shao Guocheng, Zhou Tiankuang, Yan Tao, Guo Yanchen, Zhao Yun, Huang Ruqi, Fang Lu

“…To date, neither numerical nor analytical methods can balance efficiency and accuracy of the design process. …”
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AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss by Jianlei Kong, Shunong Tang, Jiameng Feng, Lipo Mo, Xuebo Jin

“…Concretely, AASNet achieves mAP scores of 31.7 and 47.4, respectively, on the UIIS and USIS dataset, significantly outperforming existing state-of-the-art methods. Moreover, AASNet achieves an inference image recognition speed of up to 28.9 ms/per, which is suitable for practical agricultural applications of smart fish farming.…”
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A framework for modeling county-level COVID-19 transmission by Yida Bao, Iris Huang, Qi Li, Zheng Zhang, Yuan Xing, Dongfang Hou, Jiafeng Ye

“…This integrated sequence of methods provides a comprehensive lens for studying epidemiological phenomena. …”
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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…Given the nonlinear characteristics of supplementary cement material concrete (SCMC) mixtures, researchers are increasingly turning to machine learning methods. This study assesses nine machine learning models, integrating conventional AI algorithms, such as artificial neural network (ANN), support vector regression (SVR), and random forest (RF) with nature-inspired optimization techniques including chicken swarm optimization (CSO), moth flame optimization algorithm (MFO), and whale optimization algorithm (WOA). …”
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Mathematical modelling of cerebral haemodynamics and their effects on ICP by Ka Hing Chu, Ihsane Olakorede, Erta Beqiri, Marek Czosnyka, Peter Smielewski

“…Introduction: Electrical-equivalence mathematical models that integrate vascular and cerebrospinal fluid (CSF) compartments perform well in simulations of dynamic cerebrovascular variations and their transient effects on intracranial pressure (ICP). …”
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Heterogeneity Analysis of Resident Demands and Public Service Facilities in Megacities of China from the Perspective of Urban Health Examination by Ning Zhang, Shaohua Wang, Haojian Liang, Zhuonan Huang, Xiao Li, Zhenbo Wang

“…To improve the monitoring of urban public service facility coverage and supply–demand patterns, this paper adopts an urban diagnostic perspective, using 14 megacities from nine urban agglomerations in China as the study area. By integrating spatial and temporal social sensing big data, including road networks, population, and points of interest (POI) data, and employing spatial analysis methods including coverage rate calculation, supply–demand matching efficiency, spatial heterogeneity, and sp{atial stability analysis, this study reveals the spatial distribution patterns of various facilities within cities, as well as the heterogeneity, balance, and equity of supply–demand matching efficiency between different cities. …”
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Quantifying ecosystem-human water trade-offs: A clean water scarcity perspective by Shanlin Tong, Jie Chen, Rui Xia, Wenpan Li, Yan Chen, Chong-Yu Xu

“…Study focus: Water security is a long-standing concern in developing and developed countries, putting rigorous standards on the reliability of approaches applied to identity and access water scarcity. Previous methods for assessing water scarcity have primarily focused on the quantitative and qualitative needs of human water consumption, underestimating the spatiotemporal fluctuation in water demand of ecosystems and the impacts of ecological water scarcity. …”
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A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing by Muhammad Asif, Mohammad Abrar, Faizan Ullah, Abdu Salam, Farhan Amin, Isabel de la Torre, Mónica Gracia Villar, Helena Garay, Gyu Sang Choi

“…The framework maintained robustness under challenging conditions, such as low light and fog, outperforming YOLOv9-S, YOLOv9-E, and DCNN-based methods. Furthermore, it surpassed state-of-the-art models on RSOD and NWPU VHR-10 datasets, achieving superior detection accuracy and robustness. …”
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Impact of the Aortomitral Positional Anatomy on Atrioventricular Conduction Disorder Following Mitral Valve Surgery by Kazuma Handa, Masashi Kawamura, Daisuke Yoshioka, Shunsuke Saito, Takuji Kawamura, Ai Kawamura, Yusuke Misumi, Masaki Taira, Kazuo Shimamura, Sho Komukai, Tetsuhisa Kitamura, Shigeru Miyagawa

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Accuracy and applicability assessment of vegetation types of the land cover products produced in China by Caixia Li, Lingting Lei, Xiang Jia, Xiaoyan Xiong, Xiaoli Zhang

“…Therefore, we analyzed the applicability of three land cover products produced by Chinese institutions, including 35 issues of CLCD, 3 issues of GlobeLand30 and 10 issues of GLC_FCS30D, in terms of temporal stability and spatial consistency, and developed a spatial accuracy assessment method to realize the spatial accuracy mapping of different land cover products using the multiscale geographically weighted regression model (MGWR). …”
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How to take action beyond ambulatory glucose profile: Latin American expert recommendations on CGM data interpretation by Luis Eduardo Calliari, Álvaro Contreras Sepúlveda, Nicolás Coronel-Restrepo, Laura Kabakian, Rodrigo N. Lamounier, Emma Picasso, Adrian Proietti, Alex Ramírez-Rincón, Alicia E. Yépez-Rodriguez

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Importance of abiotic factors and hydroperiod for the zooplankton community from ponds with different hydrological dynamics by José Gabriel Melo da Cruz, Fernanda Zucoloto Domingues, Luisa Rodrigues dos Santos, Rayanne Barros Setubal, Elder de Oliveira Sodré, Reinaldo Luiz Bozelli

“…Conclusions Our results indicate that seasonal environments favor the co-occurrence of species from both perennial and ephemeral ponds, showing higher Shannon-Wiener diversity index (H’), functional richness (FRic), and functional divergence (FDiv) values when analyzed through an integrated approach. Furthermore, we observed that even under the same regional species pool, differences in desiccation frequency were sufficient to determine variations in the zooplankton community.…”
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The rhizosphere bacterial community of water yam (Dioscorea alata L.) under limited water conditions by Shunta Kihara, Kosuke Yamamoto, Yuh Shiwa, Minenosuke Matsutani, Hidehiko Kikuno, Hironobu Shiwachi

“…Integrated soil fertility management is urgently needed to improve and stabilise yam productivity. …”
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SLPDBO-BP: an efficient valuation model for data asset value by Cuiping Zhou, Shaobo Li, Cankun Xie, Panliang Yuan, Zihao Liao

“…Firstly, the sinusoidal chaos mapping strategy, the Levy flight strategy and the fusion of adaptive weight variation operators are integrated to increase the population diversity of the algorithm, broaden the search range, and augment the global optimization capability of the algorithm. …”
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Study on the spatiotemporal evolution and prediction of internal porosity in concrete specimens under sulfate attack based on machine learning models by Chun Gong, Dunwen Liu, Kunpeng Cao, Yinghua Jian

“…Machine learning methods were employed to predict porosity changes based on CT data. …”
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Promoting sustainable agriculture in Devdaha Municipality, Nepal: leveraging agroforestry to address challenges and enhance food security by Sailesh Ranjitkar, Mohammad Ayub, Ukesh Raj Bhuju, Nani Maiya Sujakhu

“…Utilizing purposive sampling, interviews, focus group discussions, expert consultations, and direct observations followed by mixed methods analysis, farming practices were examined, the marketability of agricultural products were assessed, and interventions for improvement were proposed. …”
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Hybrid pre trained model based feature extraction for enhanced indoor scene classification in federated learning environments by Monica Dutta, Deepali Gupta, Vikas Khullar, Sapna Juneja, Roobaea Alroobaea, Pooja Sapra

“…Primitive classification methods like Support Vector Machines (SVM) and K-Nearest Neighbors (KNN), provide a compromised performance with complex indoor environments due to light variations, intra-class similarities, and occlusions. …”
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Research trends and hotspots of single nucleotide polymorphisms in endometrial cancer: a bibliometric analysis by Renjie Wang, Zhihong Jia, Liang Peng, Jinghui Xu, Qiying Zhu, Yinghong Wu

“…This study explores the global research landscape of SNPs in EC, focusing on field evolution, key contributors, and emerging trends. Methods A systematic search of the Web of Science Core Collection (WoSCC) retrieved 838 publications on SNPs in EC from 1991 to 2024. …”
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Changes in Forest Spatial Patterns Based on Source-sink Principle by Wu Lingxin, Lin Yiheng, Li Jian, Hu Xisheng

“…[Methods] We collected datasets of land use/cover change (LUCC), digital elevation model (DEM), and road traffic in Fujian Province for 2010 and 2020, and identified landscapes (i.e., source landscapes and sink landscapes) that either promoted or prevented/delayed forest loss. …”
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