Introduction of AI Technology for Objective Physical Function Assessment by Nobuji Kouno, Satoshi Takahashi, Masaaki Komatsu, Yusuke Sakaguchi, Naoaki Ishiguro, Katsuji Takeda, Kyoko Fujioka, Ayumu Matsuoka, Maiko Fujimori, Ryuji Hamamoto

“…This paper explored how artificial intelligence (AI) could predict physical function scores from various patient data sources and reviewed methods to measure objective physical function using this technology. …”
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A fluorescence-enhanced inverse opal sensing film for multi-sources detection of formaldehyde by Xiaokang Lu, Bo Han, Deyilei Wei, Mingzhu Chu, Haojie Ma, Ran Li, Xueyan Hou, Yuqi Zhang, Jijiang Wang

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Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information by Wenqing Zhou, Chaoqiang Chen, Qin Yan, Bin Li, Kang Liu, Yingjun Zheng, Hongming Yang, Hui Xiao, Sheng Su

“…Current resident anomaly detection technologies rely on single-source energy data, lacking detailed behavior pattern analysis. …”
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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 ensure solar panels function well, efficient and accurate defect detection of PV modules is essential. …”
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Rapid urban health security assessment tool: a new resource for evaluating local-level public health preparedness by Rebecca Katz, Matthew R Boyce

“…Plans and policies for responding to public health emergencies are generally framed at higher levels of governance, but developing, improving and sustaining the capacities necessary for implementing these policies is a direct function of local-level authorities. Evaluating local-level public health capacities is an important process for identifying strengths and weaknesses that can impact the preparedness for, detection of and response to health security threats. …”
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Design and Validation of a Lightweight Entropy-Based Intrusion Detection Algorithm for Automotive CANs by Jiacheng Chen, Zhifu Wang

“…Experimental results demonstrate robust performance under low computational resources, achieving high detection accuracy with high recall (>80%) even at 10% bus load fluctuation thresholds. …”
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MeStanG—Resource for High-Throughput Sequencing Standard Data Sets Generation for Bioinformatic Methods Evaluation and Validation by Daniel Ramos Lopez, Francisco J. Flores, Andres S. Espindola

“…Metagenomics analysis has enabled the measurement of the microbiome diversity in environmental samples without prior targeted enrichment. Functional and phylogenetic studies based on microbial diversity retrieved using HTS platforms have advanced from detecting known organisms and discovering unknown species to applications in disease diagnostics. …”
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Prediction of Wafer Performance: Use of Functional Outlier Detection and Regression by Kyusoon Kim, Seunghee Oh, Kiwook Bae, Hee-Seok Oh

“…To exploit the consecutive nature of OES data, we propose a prediction method based on a functional approach using multivariate functional partial least squares regression, coupled with dimension reduction and a novel outlier detection technique via functional independent component analysis. …”
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Functionalized hydrogel-based colorimetric sensor for Cu2+ detection by Minh-Kha Nguyen, Chau-Nha-Trang Nguyen, Khanh-Binh Vo

“…., highly toxic and bioaccumulative contaminants in water sources, has become a critical environmental concern. …”
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Improved UAV Target Detection Model for RT-DETR by Yong He, Yufan Pang, Guolin Ou, Renfeng Xiao, Yifan Tang

“…Furthermore, the Focaler-MPDIoU loss function has been developed to address the challenge of suboptimal localization accuracy for hard-to-detect targets and diminutive targets. …”
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Western spotted skunk spatial ecology in the temperate rainforests of the Pacific Northwest by Marie I. Tosa, Damon B. Lesmeister, Taal Levi

“…Using these home ranges, we fitted a resource selection function using environmental covariates that we assigned to various hypotheses such as resources, predator avoidance, thermal tolerance, and disturbance. …”
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MIF-YOLO: An Enhanced YOLO with Multi-Source Image Fusion for Autonomous Dead Chicken Detection by Jiapan Li, Yan Zhang, Yong Zhang, Hongwei Shi, Xianfang Song, Chao Peng

“…Addressing the paucity of automated systems for the detection of dead poultry within large-scale agricultural settings, characterized by the onerous and time-consuming manual inspection processes, this study introduces an enhanced YOLO algorithm with multi-source image fusion (MIF-YOLO) for the autonomous identification of dead chicken. …”
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Sources of uncertainty in DNA metabarcoding of whole communities: Implications for its use in biomonitoring by J. Iwan Jones, Amanda Arnold, Dominik Buchner, John F. Murphy, Jasmine N. Childress, Pedro Beja, Florian Altermatt, Kristian Meissner, Ian Adams, Meri Anderson, Yaisel J. Borrell, Andrew G. Briscoe, Kat Bruce, Cátia Chaves, Chris Conyers, Kristy Deiner, Vasco Elbrecht, Álvaro Fueyo, Tim Goodall, Javier Granero‐Castro, Cristina Hartmann‐Fatu, Eleanor Jones, Elvira Mächler, Filipa M. S. Martins, Sam McGreig, Lyndall Pereira‐da‐Conceicoa, James L. Pretty, Daniel S. Read, Ben Price, Florian Leese, Rosetta C. Blackman

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Using an ensemble approach to predict habitat of Dusky Grouse ( Dendragapus obscurus ) in Montana, USA by Elizabeth A Leipold, Claire N Gower, Lance McNew

“…Consensus between the resource selection function and random forest models was high (93%) and the ensemble map had higher predictive accuracy when classifying the independent dataset than the other two models. …”
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Advances in choroid-glaucoma structural-functional correlations using swept-source optical coherence tomography by Ying Tang, Yun Zhao, Qiyao Wang, Jia Li

“…Understanding the role of the choroid in glaucoma may lead to the development of new therapeutic approaches and thus facilitate the early detection, diagnosis and treatment of glaucoma.…”
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Human-Machine Function Allocation Method for Submersible Fault Detection Tasks by Chenyuan Yang, Liping Pang, Wentao Wu, Xiaodong Cao

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PFW-YOLO Lightweight Helmet Detection Algorithm by Yue Hong, Hao Wang, Shuo Guo

“…However, due to the limited arithmetic and storage resources of edge-end devices, and the traditional detection algorithms have problems such as the number of parameters and large computational volume, the detection algorithms are difficult to be deployed practically. …”
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KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection by Saeed Ullah, Junsheng Wu, Mian Muhammad Kamal, Abdul Khader Jilani Saudagar

“…Abstract The rapid expansion of Internet of Things (IoT) networks necessitates efficient intrusion detection systems (IDS) capable of operating within the stringent resource constraints of IoT devices. …”
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Simultaneous detection of pathogens and antimicrobial resistance genes with the open source, cloud-based, CZ ID platform by Dan Lu, Katrina L. Kalantar, Abigail L. Glascock, Victoria T. Chu, Estella S. Guerrero, Nina Bernick, Xochitl Butcher, Kirsty Ewing, Elizabeth Fahsbender, Olivia Holmes, Erin Hoops, Ann E. Jones, Ryan Lim, Suzette McCanny, Lucia Reynoso, Karyna Rosario, Jennifer Tang, Omar Valenzuela, Peter M. Mourani, Amy J. Pickering, Amogelang R. Raphenya, Brian P. Alcock, Andrew G. McArthur, Charles R. Langelier

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Sustainable Valorization of Jackfruit Peel Waste: Bio‐Functional and Structural Characterization by Rangina Brahma, Subhajit Ray, Prakash Kumar Nayak, Kandi Shridhar

“…ABSTRACT The sustainable utilization of agricultural waste holds immense promise in addressing environmental concerns and promoting resource efficiency. In this context, jackfruit (Artocarpus heterophyllus) peel waste emerges as a valuable yet underexplored resource. …”
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