Spinal cord demyelination predicts neurological deterioration in patients with mild degenerative cervical myelopathy by Jefferson R Wilson, David Anderson, Stephan Duplessis, Julien Cohen-Adad, David W Cadotte, Nathan Evaniew, Jacques Bouchard, Michael Craig, Abdul Al-Shawwa, Kalum Ost, Steve Casha, W Bradley Jacobs, Saswati Tripathy, Peter Lewkonia, Fred Nicholls, Alex Soroceanu, Ganesh Swamy, Kenneth C Thomas, Michael MH Yang, Nicholas Dea

“…Quantitative MRI (qMRI) metrics were derived above and below maximally compressed cervical levels (MCCLs). Various machine learning (ML) models were trained to predict 6 month neurological deterioration, followed by global and local model interpretation to assess feature importance.Results A total of 49 patients were followed for a maximum of 2 years, contributing 110 6-month data entries. …”
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Implementation of the seven steps of patient safety in primary healthcare by Nur Syarianingsih Syam, Linda Tri Maryuni, Siti Kurnia Widi Hastututi, Sely Aprianda Syah Putri

“…One of the quality management indicators is patient safety, the safety steps are building awareness of the value of patient safety, leading and supporting staff, integrating risk reporting activities, developing reporting systems, involving and communicating with patients, learning and sharing experiences about patient safety, and preventing injuries through the implementation of patient safety systems. …”
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Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…Additionally, researchers can investigate the application of other optimization techniques, such as machine learning algorithms, to portfolio optimization.…”
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Deciphering hub genes and immune landscapes related to neutrophil extracellular traps in rheumatoid arthritis: insights from integrated bioinformatics analyses and experiments by Yang Li, Yang Li, Jian Liu, Jian Liu, Yue Sun, Yue Sun, Yuedi Hu, Yuedi Hu, Qiao Zhou, Qiao Zhou, Chengzhi Cong, Chengzhi Cong, Yiming Chen, Yiming Chen

“…Using three machine learning techniques, we identified the most important hub genes to develop and evaluate a nomogram diagnostic model. …”
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A Program for Master of Science in Environment and Natural Resources (MENR) by Kabale University

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Developing and presenting a mathematical model for the purpose of organizational culture architecture based on creating alignment between the strategic reference points of organiza... by Elyas hasanzadeh Shweili, Mir Mehrdad peidaie, Ali reza Rezghi Rostami

“…An organization that is not able to develop its organizational culture will not be able to survive, and organizational learning and learning culture have a fundamental role in the development of organizational culture in the organization. …”
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The value-added model of the supply chain of petrochemical industries with a sustainable development approach by ali amiri, seyed abbas heydari, vahidreza Mirabi

“…These sixteen criteria are political factors, cultural factors, legal factors, financial factors, individual factors, management factors, information sources, implementation, review, feedback analysis, performance evaluation factors, risk concepts, identification of environmental issues, identification of health issues, learning Issues of safety, and added value in the supply chain of petrochemical industries with a sustainable development approach. …”
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Advancements and opportunities to improve bottom–up estimates of global wetland methane emissions by Qing Zhu, Daniel J Jacob, Kunxiaojia Yuan, Fa Li, Benjamin R K Runkle, Min Chen, A Anthony Bloom, Benjamin Poulter, James D East, William J Riley, Gavin McNicol, John Worden, Christian Frankenberg, Meghan Halabisky

“…WETCHIMP: 190 ± 39 TgCH _4 yr ^−1 ); and (3) data-driven machine learning approach (e.g. UpCH4: 146 ± 43 TgCH _4 yr ^−1 ). …”
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Amplifying children’s leadership roles and voice in decision-making through co-production in outside of school hours care: qualitative findings from the connect promote and protect... by Alyssa C. Milton, Alyssa C. Milton, Alyssa C. Milton, Kristin Ballesteros, Helen Hernandez, Yenni Hwang, Nick Glozier, Nick Glozier, Tom McClean, Haley M. LaMonica, Haley M. LaMonica, Karen Thorpe, Karen Thorpe, Ian B. Hickie, Ian B. Hickie

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Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index by Leyi Zhang, Xia Li, Xiuhua Liu, Zhiyang Lian, Guozhuang Zhang, Zuyu Liu, Shuangxian An, Yuexiao Ren, Yile Li, Shangdong Liu

“…Additionally, a SHapley Additive eXplanation (SHAP) interpretable machine learning model was employed to identify the dominant factors and thresholds influencing the EEQ in the TNEP and its sub-regions. …”
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Vegetable Crop Growth Modeling in Digital Twin Platform Based on Large Language Model Inference by ZHAO Chunjiang, LI Jingchen, WU Huarui, YANG Yusen

“…These metrics significantly outperform traditional machine learning approaches, including long short-term memory (LSTM), XGBoost, and LightGBM models. …”
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The MyLungHealth study protocol: a pragmatic patient-randomised controlled trial to evaluate a patient-centred, electronic health record-integrated intervention to enhance lung can... by Rachel Hess, Angela Fagerlin, Devin Mann, Tanner Caverly, Yue Zhang, Guilherme Del Fiol, Jorie Butler, Michael Flynn, Kensaku Kawamoto, Douglas Martin, Chelsey R Schlechter, Haojia Li, Polina Kukhareva, Christian Balbin, Elizabeth Stevens, Victoria Tiase, Kim Kaphingst, Chakravarthy Reddy, Phillip Warner, Joshua Choi, Claude Nanjo, Quyen Metzger

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The role of information science within the clinical translational science ecosystem by Bart Ragon, Anne Seymour, Elizabeth C. Whipple, Alisa Surkis, Amanda Haberstroh, Jennifer Muilenburg, Melissa L. Rethlefsen, Erinn E. Aspinall, Jill Deaver, Nadine Dexter, Renae Barger, Nicole Contaxis, Emily J. Glenn, Elizabeth Hinton, Barbara Kern, Micquel Little, Keith Pickett, Erika Sevetson, Donghua Tao, Megan von Isenburg, Debra A. Werner, Terrie R. Wheeler, Kristi Holmes

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The sense of safety theoretical framework: a trauma-informed and healing-oriented approach for whole person care by Johanna M. Lynch, Kurt C. Stange, Christopher Dowrick, Linn Getz, Pamela J. Meredith, Mieke L. Van Driel, Meredith G. Harris, Meredith G. Harris, Kate Tillack, Caley Tapp, Caley Tapp

“…Five practitioner skills and attitudes that facilitate sense of safety were named: Valuing the Whole Picture; Holding Story Safely; Being with You; Learning Together; and Validating Dignity (Sense of Safety Practitioner Skills).ConclusionThe Sense of Safety Theoretical Framework developed in this study focusses on an experience that is a fundamental prerequisite of health. …”
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Inflamed immune phenotype predicts favorable clinical outcomes of immune checkpoint inhibitor therapy across multiple cancer types by Jeanne Shen, Sergio Pereira, Chan-Young Ock, Yung-Jue Bang, Seulki Kim, Sehhoon Park, Se-Hoon Lee, George A Fisher, Young Kwang Chae, Yoon-La Choi, Jin-Haeng Chung, Tony S K Mok, Leeseul Kim, Jun-Eul Hwang, Gahee Park, Sanghoon Song, Seunghwan Shin, Yoojoo Lim, Wonkyung Jung, Heon Song, Hyojin Kim, Taebum Lee, Sukjun Kim, Chang Ho Ahn, Seokhwi Kim, Ben W Dulken, Stephanie Bogdan, Maggie Huang, Chiyoon Oum, Siraj M. Ali

“…Here, we investigate artificial intelligence (AI)-based immune phenotypes capable of predicting ICI clinical outcomes in multiple solid tumor types.Methods Lunit SCOPE IO is a deep learning model which determines the immune phenotype of the tumor microenvironment based on TIL analysis. …”
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Luminal epithelial cells integrate variable responses to aging into stereotypical changes that underlie breast cancer susceptibility by Rosalyn W Sayaman, Masaru Miyano, Eric G Carlson, Parijat Senapati, Arrianna Zirbes, Sundus F Shalabi, Michael E Todhunter, Victoria E Seewaldt, Susan L Neuhausen, Martha R Stampfer, Dustin E Schones, Mark A LaBarge

“…Age-dependent luminal transcriptomes comprised a prominent signal that could be detected in bulk tissue during aging and transition into cancers. A machine learning classifier based on luminal-specific aging distinguished normal from cancer tissue and was highly predictive of breast cancer subtype. …”
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Psychometric properties of the Moroccan dialect versions of the Perceived Stress Scale and the Center for Epidemiologic Studies Depression Scale among Moroccan university students by Younes RAMI, Hicham KHABBACHE, Jamal AMRAOUI, Driss AIT ALI, Zakaria ABIDLI, Abdulmohsen MOHAMMED ABDULLAH ALKHULAYFI, Mahmood BAHRAMIZADEH, Hassan LAABOUB, Amelia RIZZO, Bouabid BADAOUI, Şeyhmus AKSOY, Lukasz SZARPAK, Murat YILDIRIM, Francesco CHIRICO

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Detection Method of Apple Alternaria Leaf Spot Based on Deep-Semi-NMF by FU Zhuojun, HU Zheng, DENG Yangjun, LONG Chenfeng, ZHU Xinghui

“…A comparative analysis was conducted with several other detection methods, including GRX (Reed-Xiaoli detector), LRX (Local Reed-Xiaoli detector), CRD (Collaborative-Representation-Based Detector), LSMAD (LRaSMD-Based Mahalanobis Distance Detector), and the deep learning model Unet. The results demonstrated that DSNMFMAD exhibited superior performance in the laboratory environment. …”
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