Showing 3,241 - 3,260 results of 4,237 for search 'Step learning', query time: 0.14s Refine Results
  1. 3241

    Corrosion rate prediction for long-distance submarine pipelines based on MWIWOA-SVM by Zhengshan LUO, Haipeng LYU, Jihao LUO

    Published 2025-05-01
    “…The population initialization utilized Tent chaotic mapping in conjunction with an opposition-based learning mechanism. Global optimization and local search functions were balanced through the introduction of adaptive weights and nonlinear convergence factors. …”
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  2. 3242

    The Medication Safety Adventure Trail: An Educational Intervention to Promote Public Awareness on Medication Safety by Audrey Flornoy-Guédon, Liliane Gschwind, Antoine Poncet, Pierre Chopard, Caroline Fonzo-Christe, Pascal Bonnabry

    Published 2025-05-01
    “…A booth was set up in a hospital lobby inviting all passers-by to follow a six-step trail involving riddles to solve. The experiment comprised three phases: 1. …”
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  3. 3243

    Development of an immune-related gene signature applying Ridge method for improving immunotherapy responses and clinical outcomes in lung adenocarcinoma by Zhen Chen, Yongjun Zhang

    Published 2025-05-01
    “…The sequencing data of immune-related genes were comprehensively analyzed by introducing a new computational framework and 10 machine learning algorithms (a total of 101 combinations) to determine the prognostic genes, which were further combined to develop an immune prognostic signature (IMMPS) using the stepCox and Ridge methods. …”
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  4. 3244

    Emergency preparedness and health system resilience assessment tool: development and initial validation by Vageesh Jain, Fadi El-Jardali, Michael Reid, Sherin Varkey, Racha Fadlallah, Denizhan Duran, Priyanka D Kanth, Son-Nam Nguyen, Rekha Menon, Ammar Malek, Majd Saleh, Laura Buback

    Published 2025-08-01
    “…In this paper, we introduce a tool designed to offer a comprehensive and engaging approach to assessing health system resilience and emergency preparedness and response capabilities, and articulate the tool’s value add in the MENA region.Methods We developed the tool following a three-step approach consisting of (1) definition of purpose and scope of tool, (2) item generation and reduction and (3) testing for content and face validity given the MENA region’s context. …”
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  5. 3245

    Neuroprotective and anticonvulsant effect of trimetazidine in a PTZ-kindling model of mice through modulation of the IL-1β/IL-1R1 and HMGB-1/TLR-4 axis by Shahnawaz Ahmad, Mohammed Samim, Seema Jain, Divya Vohora, Nidhi

    Published 2025-08-01
    “…Seizure severity was assessed on the Racine scale, and cognitive function and learning were evaluated using the elevated plus maze and the passive avoidance apparatus. …”
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  6. 3246

    Mapping the air temperature in China from time-normalized MODIS land surface temperature data via zone-based stacking ensemble models by Yan Xin, Yongming Xu, Xudong Tong, Yaping Mo, Yonghong Liu, Shanyou Zhu

    Published 2025-07-01
    “…This study developed a three-step ensemble framework to address these issues and map high-accuracy daily average Ta from remote sensing data. …”
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  7. 3247
  8. 3248

    Impact of Venous CONgestion on Organ Function and Outcomes in Sepsis (ICON-Sepsis): a prospective observational cohort study protocol by Hao Ying, Robert R. Ehrman, Robert L. Sherwin, Christian A. Reynolds, Steven J. Korzeniewski, Robert D. Welch, Jeffrey A. Kline, Phillip D. Levy

    Published 2025-06-01
    “…Patient-level heterogeneity in prior sepsis trials is recognised as a substantial contributor to all these problems, yet no prior investigation has attempted to identify volume-informed septic phenotypes, a necessary first step towards precision care.Methods and analysis Predicated on prior studies demonstrating detectability of organ-level congestion, we hypothesise that central venous hypertension (1) is deleterious to the function of the lungs, liver, kidneys and vascular endothelium; (2) is worsened by cardiac dysfunction and IVF administration; and (3) contributes to adverse organ-specific and overall outcomes. …”
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  9. 3249

    Predicting real-time traffic restoration time based on the estimated traffic state by Md Rakibul Islam, Zaheen E Muktadi Syed, Mohamed Abdel-Aty, Samiul Hasan

    Published 2025-07-01
    “…A total of eight traffic state prediction models with high accuracy were developed using the XGBoost machine learning technique. The estimated traffic state was used to calculate the post-crash congestion level. …”
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  10. 3250

    CSEA-Net: A channel–spatial enhanced attention network for lung tumor segmentation on CT images by Wenhu Liu, Jinhao Sun, Han Li, Yan Wang, Zhaohui Wang

    Published 2025-03-01
    “…Summary: The segmentation of lung nodules is a crucial step in the early detection of lung cancer, which remains the leading cause of cancer-related mortality worldwide. …”
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  11. 3251

    Impact of allied health student placements for older clients’ health and wellbeing in primary healthcare settings: a systematic integrative review by Mohammad Hamiduzzaman, Vanette McLennan, Gillian Nisbet, Shruti Jindal, Sarah Miles, Sarah Crook, Karn Nelson, Christopher Williams, Victoria Flood

    Published 2025-04-01
    “…The value of student placements in acute and primary healthcare settings is reflected in enhanced student learning, improved service delivery, and positive patient outcomes. …”
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  12. 3252

    Implementation of a multicomponent intervention including clinical decision support (CDS), e-course and feedback to improve general practitioners’ radiology referrals: a feasibilit... by Stig Harthug, Stefan Hjorleifsson, Miriam Hartveit, Aslak Bjarne Aslaksen, Mia Louise Halsvik Mowinckel-Nilsen, Nicolas Melchior Frederic Øyane, Satya Pal Sharma, Erik Vang

    Published 2025-07-01
    “…The study was conducted with 139 GPs recruited in two cohorts in 2023, evaluated using a step-wedge design. Data sources included qualitative feedback from GPs and quantitative measures like referral completion rates. …”
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  13. 3253

    Determining the Prioritization of Behavior Change Techniques for Long-Term Stroke Rehabilitation: Delphi Survey Study by Agata Ewa Wróbel, Philip Cash, Anja Maier, John Paulin Hansen

    Published 2025-04-01
    “…This provides a first but important step toward unlocking the prioritization of BCT clusters for long-term intervention contexts such as stroke rehabilitation and enables effective intervention mapping addressing long-term behavior change and treatment adherence.…”
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  14. 3254

    Clinicians’ lived experience of concealing bad news: a qualitative study in Malaysia and the UK by Karen Forbes, Sophie Nilusha Holmes, Jan Illing

    Published 2025-05-01
    “…Our findings offer globalised healthcare education an opportunity for self-awareness. Learning from and respecting global variation shines a light on our biases, allowing progress towards curriculum decolonisation.…”
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  15. 3255
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  17. 3257

    Tongue-LiteSAM: A Lightweight Model for Tongue Image Segmentation With Zero-Shot by Daiqing Tan, Hao Zang, Xinyue Zhang, Han Gao, Ji Wang, Zaijian Wang, Xing Zhai, Huixia Li, Yan Tang, Aiqing Han

    Published 2025-01-01
    “…Objective: Tongue image segmentation is a crucial step in the intelligent recognition of tongue diagnosis in Traditional Chinese Medicine (TCM). …”
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  18. 3258

    The nursing shared decision making attitude scale: A translation and psychometric evaluation study by Stefanie van den Broek, Floor Halvorsen, Bregje Raap- van Sleuwen, Rien de Vos

    Published 2024-12-01
    “…The principal components analysis revealed a 2-factor structure as most suitable (Empathic communication and Mastery learning) consistent with the original Nursing Shared Decision Attitude scale. …”
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  19. 3259
  20. 3260

    Neuroprotective effect of Tozasertib in Streptozotocin-induced alzheimer’s mice model by Darshpreet Kaur, Amarjot Kaur Grewal, Suad Hamdan Almasoudi, Ahmad H Almehmadi, Bshra A. Alsfouk, Amit Kumar, Varinder Singh, Athanasios Alexiou, Marios Papadakis, Nermeen N. Welson, Thakur Gurjeet Singh, Gaber El-Saber Batiha

    Published 2025-08-01
    “…The behavioral parameters evaluated included the Morris Water Maze test and the step-down passive avoidance test. Histological changes were assessed using H&E staining. …”
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