Development of a Smart Health Care Service Using Metaverse and Chatbot Technologies for Adolescents, Parents, and School Health Teachers: User-Centered Design Approach by Hana Kim, Jae-Heon Kang, Yeeun Kwon, Che Eun Kim, Jung han Yu, Hyo Seung Nam, Jisan Lee

“…Furthermore, we created a use case diagram illustrating the interaction between various users and the services, a flowchart outlining the service algorithm, and a lifelog data collection system. The core UI usability evaluation results revealed that both students and parents considered sleep management important, while school health teachers deemed the measurement of physical activity essential. …”
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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…The results show that normalization and feature selection positively affect IDS modeling. Furthermore, while feature selection benefits simpler algorithms (such as RF), normalization is more useful for complex algorithms like ANNs and deep neural networks (DNNs), and algorithms such as Naive Bayes are unsuitable for IDS modeling. …”
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Zero-shot building footprint extraction and regularization based on Segment Anything model with Mesh Model by J. Zhong, Y. Zhang, Y. Zhang, X. Liu, X. Liu, J. Zhang, L. Fei, W. Xia, B. Zhang, W. Fan, D. Yue

“…Markov random field matches building labels, while a region growth-based boundary reassignment refines the contours. …”
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<italic>WhiteDwarf</italic>: A Holistic Co-Design Approach to Ultra-Compact Neural Inference Acceleration by Angel Lopez Garcia-Arias, Yasuyuki Okoshi, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura

“…Activation precision is set to FP8 with large models in mind, while INT2&#x2013;4 weights suffice for sparse and accurate supermask models. …”
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Bidirectional Relationship Between Hypoalbuminemia and Postoperative Pneumonia in Elderly Hip Fracture Patients: A Retrospective Cohort Study by Wang J, Yu H, Xu X, Guo J

“…After predefined participants selection inclusion and exclusion criteria, 1661 surgically treated HF patients were included and analyzed utilizing multiple statistical models, including univariate logistic regression, Lasso regression, and Boruta algorithm for variable selection, while multivariate logistic regression and propensity score matching (PSM) for assess the bidirectional relationship between hypoalbuminemia and postoperative pneumonia. …”
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Mortality prediction of heart transplantation using machine learning models: a systematic review and meta-analysis by Ida Mohammadi, Setayesh Farahani, Asal Karimi, Saina Jahanian, Shahryar Rajai Firouzabadi, Mohammadreza Alinejadfard, Alireza Fatemi, Bardia Hajikarimloo, Mohammadhosein Akhlaghpasand

“…Among the algorithms, CatBoost demonstrated the highest accuracy (AUC 0.80, 95% CI: 0.74, 0.86), while K-nearest neighbor had the lowest accuracy (AUC 0.53, 95% CI: 0.50, 0.55). …”
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Classification from Sky: A Robust Remote Sensing Time Series Image Classification Using Spatial Encoder and Multi-Fast Channel Attention by Kwabena Sarpong, Jehoiada Kofi Jackson, Derrick Effah, Daniel Addo, Sophyani Banaamwini Yussif, Mohammad Awrangjeb, Rutherford Agbeshi Patamia, Juliana Mantebea Danso, Zhiguang Qin

“…We propose a Multi-Fast Channel Attention module for deep CNNs based on a Spatial Encoder (SE-MFCA) that requires a few parameters while enhancing the performance-complexity trade-off dilemma. …”
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Prediction of 1-year post-operative mortality in elderly patients with fragility hip fractures in China: evaluation of risk prediction models by Qiyuan Lu, Mengmeng Chen, Houfu Ling

“…Risk stratification analysis revealed SHiPS as the most precise classification system.ConclusionASAgeCoGeCC score, NHFS and Holt et al.showed acceptable predictive performance, where the first two are applicable to clinical rapid decision-making, while NHFS has been extensively external validated. …”
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The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial by Lynn Leng, Marvyn R Arévalo Avalos, Adrian Aguilera, Courtney R Lyles

“…Patients were recruited from safety-net clinics in San Francisco and through social media during the COVID-19 pandemic, and were randomized into three trial arms: (1) personalized SMS text messaging about physical activity via an adaptive learning algorithm, (2) randomly selected SMS text messaging about physical activity, and (3) a control group that received no SMS text messages. …”
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Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: Optimizing post-processing and application of ComBat by Benjamin Meyers, Vincent K. Lee, Lauren Dennis, Julia Wallace, Vanessa Schmithorst, Jodie K. Votava-Smith, Vidya Rajagopalan, Elizabeth Herrup, Tracy Baust, Nhu N. Tran, Jill V. Hunter, Daniel J. Licht, J. William Gaynor, Dean B. Andropoulos, Ashok Panigrahy, Rafael Ceschin

“…We then use an empirical Bayes harmonization algorithm performed at the along-tract level, with the output being a lower dimensional space but still spatially informative. …”
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Identifying Galactic Substructures in 5D Space Using All-sky RR Lyrae Stars in Gaia DR3 by Shenglan Sun, Fei Wang, Huawei Zhang, Xiang-Xiang Xue, Yang Huang, Ruizhi Zhang, Hans-Walter Rix, Xinyi Li, Gaochao Liu, Lan Zhang, Chengqun Yang, Shuo Zhang

“…Assuming a Gaussian prior distribution of radial velocity, we calculate the orbital distribution characterized by the integrals of motion for each RRL, based on its 3D positions, proper motions, and corresponding errors, and then apply the friends-of-friends algorithm to identify groups moving along similar orbits. …”
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RAD-Seq-derived SSR markers: a new paradigm for genetic analysis and construction of genetically improved production populations in Pinus koraiensis by Pingyu Yan, Wanying Zhang, Junfei Hao, Xiaotian Miao, Jun Wu, Zixiong Xie, Zhixin Li, Lei Zhang, Hanguo Zhang

“…The objective of this initiative is to facilitate the efficient management of genetic resources within Pinus koraiensis, enable precise pedigree identification and establish a foundational framework for subsequent whole-genome sequencing and assembly strategies. …”
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Applying machine learning to assist in the morphometric assessment of brain arteriolosclerosis through automation by Jerry J. Lou, Peter Chang, Kiana D. Nava, Chanon Chantaduly, Hsin-Pei Wang, William H. Yong, Viharkumar Patel, Ajinkya J. Chaudhari, La Rissa Vasquez, Edwin Monuki, Elizabeth Head, Harry V. Vinters, Shino Magaki, Danielle J. Harvey, Chen-Nee Chuah, Charles S. DeCarli, Christopher K. Williams, Michael Keiser, Brittany N. Dugger

“…To address this gap, we present a prototype end-to-end machine learning (ML)-based algorithm, Arteriolosclerosis Segmentation (ArtSeg), followed by Vascular Morphometry (VasMorph) – to assist persons in the morphometric analysis of arteriolosclerotic vessels on whole slide images (WSIs). …”
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Resistome of carbapenem- and colistin-resistant Klebsiella pneumoniae clinical isolates. by Sara Lomonaco, Matthew A Crawford, Christine Lascols, Ruth E Timme, Kevin Anderson, David R Hodge, Debra J Fisher, Segaran P Pillai, Stephen A Morse, Erum Khan, Molly A Hughes, Marc W Allard, Shashi K Sharma

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The influence of adolescent nicotine exposure on ethanol intake and brain gene expression. by Constanza P Silva, William J Horton, Michael J Caruso, Aswathy Sebastian, Laura C Klein, Istvan Albert, Helen M Kamens

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Anisakis Sensitization in the Croatian fish processing workers: Behavioral instead of occupational risk factors? by Ana Jerončić, Diana Nonković, Anamarija Vrbatović, Jerko Hrabar, Ivana Bušelić, Victoria Martínez-Sernández, Santiago A Lojo Rocamonde, Florencio M Ubeira, Sonja Jaman, Esma Čečuk Jeličić, Marco Amati, Maria Angeles Gomez Morales, Boris Lukšić, Ivona Mladineo

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Molecular Clouds in the Outer Milky Way Disk: Sample, Integrated Properties, and Radial Trends with Galactocentric Radius by Yan Sun, Ji Yang, Qing-Zeng Yan, Shaobo Zhang, Yang Su, Xuepeng Chen, Xin Zhou, Yuehui Ma, Lixia Yuan

“…The catalog was produced using a DBSCAN algorithm applied to the Milky Way Imaging Scroll Painting project data. …”
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Genome assembly and characterization of a complex zfBED-NLR gene-containing disease resistance locus in Carolina Gold Select rice with Nanopore sequencing. by Andrew C Read, Matthew J Moscou, Aleksey V Zimin, Geo Pertea, Rachel S Meyer, Michael D Purugganan, Jan E Leach, Lindsay R Triplett, Steven L Salzberg, Adam J Bogdanove

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Defects in intracellular trafficking of fungal cell wall synthases lead to aberrant host immune recognition. by Shannon K Esher, Kyla S Ost, Maria A Kohlbrenner, Kaila M Pianalto, Calla L Telzrow, Althea Campuzano, Connie B Nichols, Carol Munro, Floyd L Wormley, J Andrew Alspaugh

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Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Usability Study by Jiajie Huang, Honghao Lai, Weilong Zhao, Danni Xia, Chunyang Bai, Mingyao Sun, Jianing Liu, Jiayi Liu, Bei Pan, Jinhui Tian, Long Ge

“…The remaining 40 trials established the internal validation standard, while Cochrane Reviews judgments served as external validation. …”
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