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22421
Investigation of Potential Profiles and Influencing Factors of Voice Behavior among Chinese Nurses
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22422
Evaluating the feasibility of AI-predicted bpMRI image features for predicting prostate cancer aggressiveness: a multi-center study
Published 2025-01-01“…Conclusion Deep-learning radiomics models utilizing AI-extracted image features from bpMRI images can potentially be used to predict PCa aggressiveness, demonstrating a generalized ability for external validation. Critical relevance statement Predicting the aggressiveness of prostate cancer (PCa) is important for formulating the best treatment plan for patients. …”
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22423
Comparing two corrective exercise approaches for body image and upper-quadrant posture in schoolgirls with hyperkyphosis
Published 2025-01-01“…Maintaining an ideal upright posture is one of the most critical indicators of the health of the musculoskeletal and movement systems. …”
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22424
Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities
Published 2025-04-01“…Medical imaging is critical in modern healthcare for accurately detecting and diagnosing various medical conditions. …”
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22425
The assessment of routine health information system performance towards improvement of quality of reproductive, maternal, newborn, child and adolescent health services in Ondo and...
Published 2025-01-01“…Using the routine health information system performance diagnostic tool, service data captured for over one year were critically reviewed in randomly selected sample of 169 public health facilities (Ondo:117; Ekiti:52) and information was obtained from facility heads or designates. …”
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Formulation and characterization of CMPI nanoparticles for enhanced targeting of brain nicotinic receptors by positive allosteric modulator
Published 2025-02-01“…Maximizing delivery of CMPI would enhance its interaction with brain nAChRs that are associated with the desired therapeutic effects while avoiding interactions with peripheral nAChRs that are associated with undesired side effects is critical to the development of nAChR PAM-based therapeutics. …”
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Characteristics and Associated Factors of Insomnia Among the General Population in the Post-Pandemic Era of COVID-19 in Zhejiang, China: A Cross-Sectional Study
Published 2025-01-01“…The random forest model had the highest prediction accuracy (90.92% correct and 86.59% correct in T1 and T2, respectively), while the pandemic was the most critical variable at both time points.Conclusion: The prevalence and severity of insomnia have worsened in the post-pandemic period, highlighting an urgent need for effective interventions. …”
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22431
Mystical Culture and Political Apathy: Understanding its Influence on Beginner Voters at Islamic Education
Published 2024-11-01“…The conclusion from this research are political behavior patterns of MAN students in Malang City tend to be actively criticizing the government and aiming to change conditions and the political system in Indonesia. …”
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22432
Retrospective analysis of trauma patients transported by dispatch monitored type B ambulances to Dhulikhel Hospital, Kavre, Nepal, 2019–2023
Published 2025-01-01“…This study demonstrates the critical role of Type B ambulances and an integrated dispatch center in advancing timely and efficient prehospital care for trauma patients in Nepal.…”
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Smokeless tobacco: knowledge, attitudes and usage in Pakistan
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Effects of nintedanib on circulating biomarkers of idiopathic pulmonary fibrosis
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22435
What are the perceptions and experiences of adults using mobile applications for self-management in diabetes? A systematic review
Published 2025-01-01“…The study was reported following the best practice guidelines defined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.Data sources We searched for articles published from January 2007 to December 2023 via MEDLINE (Ovid), Embase (Elsevier), CINAHL (Ovid) and Scopus (Elsevier).Eligibility criteria Primary qualitative studies that describe the perceptions and experiences of adults in using mobile applications in self-management of types 1, 2 and gestational diabetes published between January 2007 and December 2023.Data extraction and synthesis Two independent reviewers screened identified papers for eligibility, extracted data using a pre-defined data extraction form and applied the Critical Appraisal Skills Program tool to appraise the quality of the included studies. …”
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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization
Published 2025-02-01“…Abstract In the dynamic environment of the Internet of Things (IoT), edge and cloud computing play critical roles in analysing and storing data from numerous connected devices to produce valuable insights. …”
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Detection of Elder Abuse Through Emergency Care Technicians Screening Tool Revision for Home-Based Primary Care (DETECT-RPC): a cluster randomised controlled trial study protocol
Published 2025-01-01“…Home-based primary care (HBPC) providers are uniquely positioned to address the critical need for robust EM screening and reporting, especially among individuals with AD/ADRD. …”
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Coal‐wall spalling prevention mechanism using advance‐grooving pressure relief in the large‐mining‐height working face of a shallow coal seam
Published 2024-11-01“…Under the action of dynamic and static load, the plastic failure dissipation power of the coal wall is greater than the critical power, and the coal wall spalling occurs. …”
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Rapid Adaptation to Prevent Drug Use (RAPD): protocol of a pilot randomized trial to enhance the impact of an evidence-based intervention for youth
Published 2025-01-01“…., the Michigan Model for Health™: MMH) are well suited to address emerging drug trends. We have a critical need to advance implementation strategies to optimize system responsiveness to these emerging drug issues. …”
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Statistical analysis based on a two-staged SEM-SVM approach for environmental noise annoyance prediction and identification of influencing factors
Published 2025-01-01“…As urbanization expands, understanding and mitigating traffic-induced noise annoyance becomes increasingly critical. This study aimed to develop a machine-learning model for predicting traffic-induced noise annoyance in Riyadh, Saudi Arabia. …”
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