Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…In addition, the OCDWO-DLCLC technique uses NASNet Mobile model for learning complex feature patterns. Also, the hybrid of convolutional bidirectional gated recurrent unit (CNN‐BiGRU) model was applied for classifying the existence of colon and lung cancer in the biomedical images. …”
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Evaluating the effectiveness of the Drink Less smartphone app for reducing alcohol consumption compared with usual digital care: a comprehensive synopsis from a 6-month follow-up R... by Claire Garnett, Melissa Oldham, Gemma Loebenberg, Larisa Dinu, Emma Beard, Colin Angus, Robyn Burton, Matt Field, Felix Greaves, Matthew Hickman, Eileen Kaner, Susan Michie, Marcus Munafò, Elena Pizzo, Jamie Brown

“…Results The retention rate at 6-month follow-up was 80%. The data were not missing completely at random with differences detected in educational qualifications, occupation and income, indicating that multiple imputation was the most appropriate analytic approach. …”
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Numerical Simulation Study on the Dynamic Processes and Evolution Laws of Multiple Granular Flows in a Gully by LEI Ming, ZHANG Liang, YE Chen, WANG Xiekang

“…Compared with the first granular flow, subsequent ones feature shorter durations and higher energy dissipation rates. The velocity and displacement of base granules increase significantly as the friction coefficient decreases and the secondary slope increases. …”
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Investigation of methicillin, beta lactam, carbapenem, and multidrug resistant bacteria from blood cultures of septicemia suspected patients in Northwest Ethiopia by Abebe Birhanu, Getachew Gebre, Eden Getaneh, Hana Yohannes, Netsanet Baye, Gizeaddis Belay Mersha, Mitkie Tigabie, Mulat Dagnew, Getachew Ferede, Teshiwal Deress, Wondwossen Abebe

“…Gram-positive bacteria, particularly S. aureus, and gram-negative bacteria like K. pneumoniae and E. coli were predominant. High rates of methicillin, beta-lactam, and carbapenem resistance were observed, emphasizing the magnitude of antimicrobial resistance. …”
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Mannheim Peritoneal Index in the Prediction of Postoperative Complications in Patients with Peritonitis by N. N. Aksenova, F. R. Akhmerov, M. V. Maleyev

“…In patients with local postoperative complications being developed, the MPI values were higher (p<0.05) than in those without them. The mortality rates that have been predicted by means of MPI (16.3%) and actual (15.2%) are actually in agreement. …”
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Amazon Rainforest Exchange of Carbon and Subcanopy Air Flow: Manaus LBA Site—A Complex Terrain Condition by Julio Tóta, David Roy Fitzjarrald, Maria A. F. da Silva Dias

“…We tested the hypothesis that horizontal drainage flow over this study area is significant and can affect the interpretation of the high carbon uptake rates reported by previous works at this site. A similar experimental design as the one by Tóta et al. (2008) was used with a network of wind, air temperature, and CO2 sensors above and below the forest canopy. …”
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Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…The decomposed components undergo dual-stage temporal processing: A Temporal Convolutional Network (TCN) extracts multi-scale dependencies via dilated convolution architecture, followed by Gated Recurrent Unit (GRU) layers capturing dynamic temporal patterns. …”
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Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments by Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri

“…In this study, we introduce a state-of-the-art scheme for Android malware detection that combines the strengths of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. These advanced deep learning architectures are particularly adept at capturing sequential dependencies within data making them well-suited for analyzing complex time-series information, such as user behaviour patterns system logs and network traffic. …”
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Perception of quality and adoption of health-preventive measures in gym-goers after the COVID-19 pandemic peak in Italy by L Falese, E Langiano, M Ferrara, P Diotaiuti, A Rodio, T Di Libero, A Andrade, E De Vito

“…Participants generally rated the gym positively, with 34.49% considering it "Good" and 39.23% rating it "Very good." …”
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Critical review of healthcare financing and a survey of system quality perception among healthcare users in Nigeria (2010-2023). by Blessing Osagumwendia Josiah, Emmanuel Chukwunwike Enebeli, Brontie Albertha Duncan, Prisca Olabisi Adejumo, Chinelo Cleopatra Josiah, Lordsfavour Anukam, Muhammad Baqir Shittu, France Ncube, Kelechi Eric Alimele, Mercy Emmanuel, Oyinye Prosper Martins-Ifeanyi, Fawole Israel Opeyemi, Oluwadamilare Akingbade, Abosede Peace Adebayo, Busiroh Mobolape Ibraheem, Ubiebo Ataisi Ekenekot, Mudiaga Sidney Edafiejire, Solomon Oluwaseun Olukoya, Ufuomaoghene Jemima Mukoro, Siyouneh Baghdasarian, Joy Chioma Obialor, Gloria Oluwakorede Alao, Blessing Onyinye Obialor, Ndidi Louis Otoboyor, Oghosa Gabriel Josiah, Joshua Okonkwo, Precious Ebinehita Imoyera, Ajao Adewale Gbolabo, Blessing Chiamaka Nganwuchu, Olukayode Joseph Oladimeji, Timothy Wale Olaosebikan, Marios Kantaris

“…Results show that the average rating of healthcare experiences did not vary significantly over the last decade. …”
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Examining a brief web and longitudinal app-based intervention [Wysa] for mental health support in Singapore during the COVID-19 pandemic: mixed-methods retrospective observational... by Chaitali Sinha, Dyuthi Dinesh, Creighton Heaukulani, Ye Sheng Phang

“…Users who used the longitudinal intervention after first using a brief intervention demonstrated significantly higher engagement and retention (P < 0.001). In user ratings received for mindline.sg (n = 8,959), 83.03% rated the app 3 or higher (out of 5) on helpfulness. 91.6% of the users (n = 862) who attempted cognitive restructuring (n = 790) on the app successfully reframed a thought. …”
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AI usage among medical students in Palestine: a cross-sectional study and demonstration of AI-assisted research workflows by Mahmoud Yousef, Salahaldeen Deeb, Khaled Alhashlamon

“…Time management was highly rated (mean score: 4.6, SD = 0.5), highlighting AI's ability to automate repetitive tasks. …”
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Long-Term Multimodal Exercise Intervention for Patients with Frontotemporal Lobar Degeneration: Feasibility and Preliminary Outcomes by Miyuki Nemoto, Kiyotaka Nemoto, Hiroyuki Sasai, Shinji Higashi, Miho Ota, Tetsuaki Arai

“…Feasibility was measured using dropout and attendance rates. Cognitive, psychological, physical, and behavioral function tests were conducted before and after the intervention. …”
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Influence of Previous Emergency Department Visit Information on Care of Current Patients by Ricardo X. Noriega, Juan Nañez, Emily Hartmann, Scott B. Crawford, Chantel D. Sloan-Aagard

“…The primary outcome was the influence of knowledge from prior records on interactions during the most recent visit, measured with 11 Likert-scale ratings. Reviewer agreement was used as an indicator of confidence. …”
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The influence of exercise self-efficacy and gender on the relationship between exercise motivation and physical activity in college students by Jiazhi Sheng, Indang Ariati Binti Ariffin, Jacquline Tham

“…Abstract This study examined the relationships among exercise motivation, exercise self-efficacy, and physical activity rating, as well as the role of exercise self-efficacy in the above relationship. …”
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Prevalence and risk factors of the most common multimorbidity among Canadian adults. by Obed Mortey, Gerald Mugford, Kris Aubrey-Bassler, Hensley H Mariathas, Ugochukwu Odimba, Zhiwei Gao

“…The results from multivariate analysis showed that seven factors were significantly associated with increased odds of the MCM, which included increasing age, being retired from work (retired vs not retired), poorer rating of perceived health, (very good, good, poor vs excellent), increasing problems with sleep quality (satisfied, dissatisfied vs neutral), and abnormal body-mass index (underweight, overweight, obese vs normal). …”
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New Programming Modes of Spinal Cord Stimulation for Chronic Pain: A Systematic Review of Outcomes with Burst and High-Frequency Technology by Jeffrey J. Bergman, Derrick A. Dupré, Nestor D. Tomycz

“…Burst SCS and HF10 SCS have been subjected to randomized controlled studies and have used similar patient pain score reporting on a visual analog scale (VAS) and numeric rating scale (NRS). Results from these studies have reported significant reductions in axial back pain and limb pain in patients sustained for up 20 months with burst SCS treatment and up to 36 months with HF10 SCS. …”
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Spatiotemporal evolution and multi-scenario simulation of the land-use cover change and habitat quality in arid and semi-arid areas: a case study of the urban agglomeration along t... by Tianle Ma, Wenhao Cheng, Wenxuan Yao

“…These findings demonstrate (Hall, Wiley on behalf of the Wildlife Society, 1997, 25(1), 173–82) a reduction in ecological land coverage during the previous period, which correlates with a decrease in the mean HQ. The value ratings in 2010, 2015, and 2020 were 0.4919, 0.4730, and 0.4654, respectively. …”
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Cholera-Related Hypochondriasis and Sleep Effort Among Lebanese General Population by Atifa Nazih Kamaleddine, Sondos Mohamad Naous, Sana Ahmad Tantawi, Lama Ali Alhajj, Nafez Nazih Kamaleddine, Sung Woo Joo, Seockhoon Chung

“…All 472 participants completed the e-survey, including rating scales adapted to assess psychological response to cholera: Stress and Anxiety to Viral Epidemic-6 items (SAVE-6), Obsession with COVID-19 scale (OCS), Coronavirus Reassurance-Seeking Behaviors Scale (CRBS), Insomnia Severity Index, Glasgow Sleep Effort Scale, and Patient Health Questionnaire-9 items. …”
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Assessment of Tourism Development in Belarus: A Comprehensive Analysis of Infrastructure, Cultural Heritage and Natural Resources by Viktoryia Kauchun, Anna Michalska, Walery Zukow

“…Results: The findings indicate moderate tourism development in Belarus (39% rated it as average, 42% as high). Infrastructure quality shows significant regional variation (χ2(4)=31.50, p<0.001, V=0.56). …”
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