Unraveling the impact of blood RANKL and OPG levels on Alzheimer's disease: Independent of bone mineral density and inflammation by Xingzhi Guo, Wenzhi Shi, Juanjuan Lu, Peng Tang, Rui Li

“…Three distinct AD genome‐wide association study (GWAS) data sets from the International Genomics of Alzheimer's Project (IGAP), UK Biobank (UKB), and FinnGen were utilized. Summary‐level data on blood sRANKL and OPG were sourced from deCODE Genetics. …”
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DEM-based topographic change detection considering the spatial distribution of errors by Yufeng He, Shaohua Lei, Wen Dai, Xi Chen, Bo Wang, Yehua Sheng, Hui Lin

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Enhanced Efficiency in SMEs Attendance Monitoring: Low Cost Artificial Intelligence Facial Recognition Mobile Application by Hong-Danh Thai, Yeong-Seok Seo, Jun-Ho Huh

“…Applying advanced technologies in human resources can enable organizations to address these challenges effectively. …”
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Distinctive Contribution of Sound Spectral Features in Enhancing Vibration-Based Multi-Component Fault Classification Under Non-Stationary Speed Conditions by S. Sowmya, M. Saimurugan, Naveen Venkatesh

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Enhancing Urban Space Optimization and Governance through Artificial Intelligence: Insights from Megacities by Tengyun Hu, Tuo Chen, Guojiang Yu, Meng Zhang, Yan Ding, Han Liu, Yu Wang

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Linking digital transformation, organizational strategic intuition, entrepreneurial orientation, and sustainable operation performance in the Vietnamese food industry by It Nguyen Van

“…Research Design & Methods: The development of an empirical investigation utilized a quantitative methodological technique. I gathered data for the survey of 368 managers or owners who worked for various food processing businesses in Vietnam. …”
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Extreme Weather Patterns in Ethiopia: Analyzing Extreme Temperature and Precipitation Variability by Endris Ali Mohammed, Xiefei Zhi, Kemal Adem Abdela

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Protecting the Autonomy of Patients with Severe Mental Illness Through Psychiatric Advance Directive Peer-Facilitation by Nicholas Karasik

“…Guiding Distributive Justice: Capability Theory Capability theory is an account of justice opportunity that places a fundamental moral significance on individuals' ability to reach proper functioning and well-being.[52] Whether or not an individual can make use of a particular set of resources and convert them into a state of functioning depends on personal, sociopolitical, and environmental conditions ("conversion factors").[53] In this sense, liberty is not the absence of restraint from others or institutions but the freedom achieved through capability-enhancing relationships.[54] Within the context of bioethics, capability theory shifts focus toward creating circumstances by which individuals can direct their lives as they choose.[55] Acting in accordance with the principle of beneficence, peer-support specialists could enhance the capability of patients to be self-determined and autonomous, which would promote patient well-being and empowerment.[56] Those living with SMI, such as schizophrenia and bipolar disorder, are among the most disadvantaged in society, experiencing social and economic hardship related to their illness.[57] These individuals are often feared and rejected by others, which increases depression, lowers self-esteem, and engenders feelings of social isolation.[58] Compounding their challenges, especially for those facing structural inequalities, is insufficient access to appropriate mental health services supporting recovery.[59] Capability theory provides a sound justification for the resource distribution necessary to create and sustain a thriving network of peer-support specialists, to which those with SMI currently do not have access. …”
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Enhancing corrosion resistance of Al alloy sheets with potential gradient by arc-sprayed Zn coatings by Zhipeng Yuan, Yuanlong Jiang, Yifan Lu, Keyuan Zhang, Huanjian Xie, Zenglei Ni, Liang Huang, Jia Liu, Xingxing Wang, Jin Peng, Zicheng Ling, Jianjun Shi, Peng He

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The Evaluation of Small-Scale Field Maize Transpiration Rate from UAV Thermal Infrared Images Using Improved Three-Temperature Model by Xiaofei Yang, Zhitao Zhang, Qi Xu, Ning Dong, Xuqian Bai, Yanfu Liu

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A new opportunity for biomass-derived carbon in highly stable Li-O2 battery: A review by Guanjun Liu, Shaojie Qin, Xiping Zhang, Dan You, Yanjia Zhang, Xiaoyuan Zeng, Yiyong Zhang, Ziyi Zhu, Yingjie Zhang, Xue Li

“…It introduces cross-scale characterization methods to analyze the properties of the carbon materials and explores the theoretical underpinnings of functional atom doping as a means to enhance electrochemical performance. …”
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A scRNA-seq reference contrasting living and early post-mortem human retina across diverse donor states by Luning Yang, Yiwen Tao, Qi Pan, Tengda Cai, Yunyan Ye, Jianhui Liu, Yang Zhou, Yongqing Shao, Quanyong Yi, Zen Huat Lu, Lie Chen, Gareth McKay, Richard Rankin, Weihua Meng

“…Conclusions Our atlas provides a single-cell reference contrasting living versus early postmortem human retina, integrating cell type composition, transcriptional diversity, and functional insights. It may serve as a useful resource for retinal research and for understanding aspects of human retinal biology, particularly given its inclusion of living tissue and diverse pathological states.…”
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Characterization of two novel chia (Salvia hispanica L.) white and black genotypes via DNA barcoding, physiological, and agronomic traits by Clara R. Azzam, Mokhtar Said Rizk, Soha Sayed Mohammad Mostafa, Ramadan A. Arafa, Mohamed Samy Al-Nabawi, Nahid Abdelaty Ali Morsi, Marwa Mahmoud Nasr El-Din, Enass Hassan Taher, Khaled Adly Khaled

“…Background: Chia (Salvia hispanica L.) is recognized for its nutritional value and health-promoting compounds, including flavonoids. Aim: This study utilized DNA barcoding to identify and differentiate two novel chia genotypes, CACH-W and CACH-B, providing insights for breeding programs and genetic resource conservation (CA refers to the developer and CH refer to Chia). …”
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Structural characterization of oligosaccharide from Spirulina platensis and its effect on the faecal microbiota in vitro by Bingna Cai, Xiangxi Yi, Qian Han, Jianyu Pan, Hua Chen, Huili Sun, Peng Wan

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Assessing the potential for scaling evidence-based interventions in African health systems: A deliberate dialogue by Humphrey Cyprian Karamagi, Ali Ben Charif, Hillary Kipchumba Kipruto, Sokona Sy, Jacinta Nzinga, Araia Berhane, Tewelde Yohannes, Stephen Senkomago Musoke, Kyuree Kim, Kristina Tunheim, Solyana Ngusbrhan Kidane

“…Methods Underpinned by two frameworks for knowledge transfer, the study utilized a deliberative dialogue approach and an integrated knowledge translation strategy. …”
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Fine Mapping and Genetic Effect Analysis of <i>Rf21(t)</i> for the Fertility Restoration of Chinsurah-Boro-II-Type Cytoplasmic Male Sterile <i>Oryza sativa</i> (ssp. <i>japonica</i... by Yuanyue Du, Liying Fan, Yunhua Gu, Chen Wang, Kai Shi, Yebin Qin, Zhejun Li, Qiaoquan Liu, Shuzhu Tang, Honggen Zhang, Zuopeng Xu

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Prognostic predictions in psychosis: exploring the complementary role of machine learning models by Metten Somers, Hugo G Schnack, Rene S Kahn, Diane F van Rappard, Frank L Gerritse, Edwin van Dellen, Violet van Dee, Seyed M Kia, Caterina Fregosi, Wilma E Swildens, Anne Alkema, Albert Batalla, Coen van den Berg, Danko Coric, Lotte G Dijkstra, Arthur van den Doel, Livia S Dominicus, John Enterman, Marte Z van der Horst, Fedor van Houwelingen, Charlotte S Koch, Lisanne E M Koomen, Marjan Kromkamp, Michelle Lancee, Brian E Mouthaan, Eline J Regeer, Raymond W J Salet, Jorgen Straalman, Marjolein H T de Vette, Judith Voogt, Inge Winter-van Rossum, Wiepke Cahn

“…Integrating predictions from both sources may help reduce individual biases and improve accuracy. …”
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Enhancing Network Slicing Architectures With Machine Learning, Security, Sustainability and Experimental Networks Integration by Joberto S. B. Martins, Tereza C. Carvalho, Rodrigo Moreira, Cristiano Bonato Both, Adnei Donatti, Joao H. Correa, Jose A. Suruagy, Sand L. Correa, Antonio J. G. Abelem, Moises R. N. Ribeiro, Jose-Marcos S. Nogueira, Luiz C. S. Magalhaes, Juliano Wickboldt, Tiago C. Ferreto, Ricardo Mello, Rafael Pasquini, Marcos Schwarz, Leobino N. Sampaio, Daniel F. Macedo, Jose F. De Rezende, Kleber V. Cardoso, Flavio De Oliveira Silva

“…The Slicing Future Internet Infrastructures (SFI2) architecture proposal explores the gap resulting from the diversity of NS architectures target domains by proposing a new NS reference architecture with a defined focus on integrating experimental networks and enhancing the NS architecture with Machine Learning (ML) native optimizations, energy-efficient slicing, and slicing-tailored security functionalities. The SFI2 architectural main contribution includes the utilization of the slice-as-a-service paradigm for end-to-end orchestration of resources across multi-domains and multi-technology experimental networks. …”
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Bioinformatic Analysis of Apoptosis-Related Genes in Preeclampsia Using Public Transcriptomic and Single-Cell RNA Sequencing Datasets by Liu L, Li X, Yang H, Xu F, Dong X

“…When integrated into the diagnostic nomogram, they showed clinical utility and affected cell functions. In the immune profile of PE, monocytes decreased, resting NK cells increased, and the activities of APC, checkpoint, T-cell co-stimulation, and MHC class I pathways reduced. …”
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Assessing Mangrove Forest Recovery in the British Virgin Islands After Hurricanes Irma and Maria with Sentinel-2 Imagery and Google Earth Engine by Michael R. Routhier, Gregg E. Moore, Barrett N. Rock, Stanley Glidden, Matthew Duckett, Susan Zaluski

“…Our work also uses a linear ANCOVA model to assess a variety of geospatial, environmental, and anthropogenic drivers for mangrove recovery as a function of NDVI pre-storm and post-storm conditions. …”
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