Application of Serial Crystallography for Merging Incomplete Macromolecular Crystallography Datasets by Ki Hyun Nam

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Bayesian Network in Structural Health Monitoring: Theoretical Background and Applications Review by Qi-Ang Wang, Ao-Wen Lu, Yi-Qing Ni, Jun-Fang Wang, Zhan-Guo Ma

“…The Bayesian network, as a probabilistic reasoning tool, offers a novel technological pathway for SHM due to its strengths in handling uncertainties and multi-source data fusion. This study systematically reviews the core applications of the Bayesian network in SHM, including damage prediction, data fusion, uncertainty modeling, and decision support. …”
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Technology and Application Development of Medical Foundation Model by Xiaohong Chen, Liu Liu, Yige Yuan, Junpu Wang, Dayuan Li, Jianhua Qiu

“…Moreover, application challenges of the medical foundation model are identified in terms of data security, technical risks, implementing challenges, and ethics. …”
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Application Placement in the Cloud Continuum With Resource Overbooking by Ivan Mongiardo, Luisa Massari, Maria Carla Calzarossa, Belen Bermejo, Daniele Tessera

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Examining the applicability of hard data protection law on demographically identifiable information (DII): the case of humanitarian UAV/drone images in Malawi by Rogers Alunge Alunge Nnangsope

“…First, it sought to establish the feasibility of their application among the humanitarian community: to this end, 20 semi-structured interviews were conducted with humanitarian officials operating in the country, with results showing that these officials largely believed the MDPB principles and rights could effectively govern their drone data processes. …”
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Applicability of the series resistance model in predicting the permeability of coated papers to oxygen and water vapor: importance of data quality and associated metadata by Allison Vercasson, Sébastien Gaucel, Nathalie Gontard, Hélène Angellier-Coussy, Valérie Guillard

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Blockchain Applications in the Military Domain: A Systematic Review by Nikos Kostopoulos, Yannis C. Stamatiou, Constantinos Halkiopoulos, Hera Antonopoulou

“…<i>Methods:</i> A systematic review of 43 peer-reviewed articles was performed to discover the applications of blockchain in defense. Key areas analyzed include the role of blockchain in securing communications, fostering transparency, promoting real-time data sharing, and using smart contracts for maintenance management. …”
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Realizing the potential of Internet of Things (IoT) in Industrial applications by Bharat Rathi, S. Thapaswi, Meghana Kambhampati, Vineet Jain, P. Akshay, Trilok Nath Pandey, Sunil Kumar Pradhan

“…Abstract The Internet of Things (IoT), which enables seamless connectivity and effective data exchange between physical items and digital systems, has completely changed the way we interact with our surroundings. …”
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Application of Machine Learning Methods for Gravity Anomaly Prediction by Katima Zhanakulova, Bakhberde Adebiyet, Elmira Orynbassarova, Ainur Yerzhankyzy, Khaini-Kamal Kassymkanova, Roza Abdykalykova, Maksat Zakariya

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Application of Machine Learning Models for Baseball Outcome Prediction by Tzu-Chien Lo, Chen-Yin Lee, Chien-Lin Chen, Tsung-Yu Hsieh, Che-Hsiu Chen, Yen-Kuang Lin

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Groundwater depletion intensified by irrigation and afforestation in the Yellow River Basin: A spatiotemporal analysis using GRACE and well monitoring data with implications for sustainable management by Shuitao Guo, Yingying Yao, Qiang Ji, Huijun Jin, Taihua Wang, Michele Lancia, Xianhong Meng, Chunmiao Zheng, Dawen Yang

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Corrigendum to “Modelling personal temperature exposure using household and outdoor temperature and questionnaire data: Implications for epidemiological studies” [Environ.... by Xi Xia, Ka Hung Chan, Yue Niu, Cong Liu, Yitong Guo, Kin-Fai Ho, Steve Hung Lam Yim, Baihan Wang, Aiden Doherty, Daniel Avery, Pei Pei, Canqing Yu, Dianjianyi Sun, Jun Lv, Junshi Chen, Liming Li, Peng Wen, Shaowei Wu, Kin Bong Hubert Lam, Haidong Kan, Zhengming Chen

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Analysis of ESAC-Net/EARS-Net Data from 29 EEA Countries for Spatiotemporal Associations Between Antimicrobial Use and Resistance—Implications for Antimicrobial Stewardship? by James C. McSorley

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Time to change implementation units for mass drug administration against schistosomiasis in Uganda: Evidence from Communities levels data validation and its implication in planning by Moses Adriko, Benjamin Tinkitina, Moses Arinaitwe, Edridah M. Tukahebwa, Alfred Mubangizi, Jorge Cano Ortega, Honorat Zoure, Pauline N. Mwinzi, Boniface Kinvi, Amadou Garba Djirmay, Sammy Njenga, Humphrey D. Mazigo

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Implications for cost and access of site-of-service referrals for ancillary medical services in a US Medicaid population: analysis of claims data from Maryland, USA by Maqbool Dada, Simrita Singh, Kelsey J Rydland, Chester Chambers, Vishal Mundlye, Edward Kumian, Kayode Ayodele Williams

“…Objectives Through analysis of claims and payment data, we quantified several implications of shifting ancillary healthcare services from regulated, more expensive to unregulated, less expensive sites. …”
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Children and adults’ perception of risk and risk management: Insights from long-term participatory data and implication for child-centric climate and disaster risk reduction by Jonatan A. Lassa, Avianto Amri, Katherine Haynes, Briony Towers, Matthew Abunyewah, Kerstin Zander, Michael Odei Erdiaw-Kwasie

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Strategic Planning for Sustainable Urban Park Vitality: Spatiotemporal Typologies and Land Use Implications in Hangzhou’s Gongshu District via Multi-Source Big Data by Ge Lou, Qiuxiao Chen, Weifeng Chen

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Predicting IVF live -birth probability using time-lapse data: Implications of including or excluding age in a day 2 embryo transfer model. by Shabana Sayed, Bjørn Molt Petersen, Marte Myhre Reigstad, Arne Schwennicke, Jon Wegner Hausken, Ritsa Storeng

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Improving maize water stress diagnosis accuracy by integrating multimodal UAVs data and leaf area index inversion model by Qi Liu, Xiaolong Hu, Yiqiang Zhang, Liangsheng Shi, Wei Yang, Yixuan Yang, Ruxin Zhang, Dongliang Zhang, Ze Miao, Yifan Wang, Zhongyi Qu

“…Unmanned aerial vehicles (UAVs) allow field monitoring of crop water status using multimodal UAV data. However, the accuracy and evaluation of predictive models in large-scale applications remain challenging issues. …”
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Fleet‐Wide Data‐Driven Model Generation Process for Residual‐Based Fault Detection in Wind Energy by Théodore Raymond, Sylvie Charbonnier, Christophe Bérenguer, Alexis Lebranchu

“…Moreover, existing condition monitoring processes proposed for wind turbines are defined for a scope reduced to a single manufacturer and to a set of components that does not include all the critical ones, which does not guarantee their possible deployment across a fleet. In this paper, a data‐driven automatic model generation method for fault detection, applicable to an entire fleet of wind turbines, is presented. …”
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