Ethiopian women’s sexual experiences and coping strategies for sexual problems after gynaecological cancer treatment: a qualitative study by Endalew G Sendo, Gashaw Yada Hundie, Teshome Habte

“…For data analysis, thematic analysis was used, which comprises three stages: data reduction, data display and data conclusion.Results Four themes resulted from the analysis of individual interview data, including treatment side effects, sexual issues following radiation therapy, lack of awareness regarding cancer treatment and sexual dysfunction, and coping strategies for sexual dysfunction following gynaecological cancer treatment. …”
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Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm by Atul Vikas Lakra, Sudarson Jena, Kaushik Mishra

“…Decision trees in machine learning achieved satisfactory performance in classification. …”
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Effect of fibroblast heterogeneity on prognosis and drug resistance in high-grade serous ovarian cancer by Tingjie Wang, Lingxi Tian, Bing Wei, Jun Li, Cuiyun Zhang, Ruitao Long, Xiaofei Zhu, Yougai Zhang, Bo Wang, Guangbo Tang, Jun Yang, Yongjun Guo

“…We collected and curated 28 HGSOC patients’ single-cell transcriptomic data from five datasets. Then, we developed a novel text-mining-based machine-learning approach to deconstruct the evolutionary patterns of tumor cell functions. …”
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Evaluation of perivascular fat density and residual false lumen formation following TEVAR in Stanford type B aortic dissection by Xin He, Xin He, Yubin Zhong, Yubin Zhong, Hua Cao, Hua Cao, Zhangbo Cheng, Zhangbo Cheng

“…Patients were classified into two groups based on postoperative imaging findings: those with residual false lumen and those with completely closed false lumen. Data collected included demographic, biochemical, and imaging parameters. …”
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Knowledge and attitudes towards Alzheimer’s disease and related dementias among Nigerian medical and nursing students: a comparative study by Tobi Olajide, Favour Ajao, Inioluwa Joshua, Abigail Oyedokun, Ayosubomi Odubiyi, Oluwadabira Adewara, Feziechi Anele, Ayomide Fatola, Samuel Ayeni, Nneka Amakom, Oluwanifemi Osakuade, Oluwabunmi Adeyeye, Chidera Ezeh, Gbenga Shittu, Rashidat Mufutau, Serena Atoyebi, Michael Apata, Sandra Obatowon, Aminat Abdul, Jesufemi Adeyeye, Akin Ojagbemi

“…Multivariate analysis of variance (MANOVA) was used to compare mean scores between these students. …”
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Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

“…However, the cloud radar detects composite information about multiphase particles and lacks temperature data within cloud layers, leading to significant aliasing of phase state characteristics of cloud particles. …”
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Translational framework for implementation evaluation and research: implementation strategies derived from normalization process theory by Carl R. May, Alyson Hillis, Bianca Albers, Laura Desveaux, Anthony Gilbert, Melissa Girling, Roman Kislov, Anne MacFarlane, Frances S. Mair, Sebastian Potthoff, Tim Rapley, Tracy L. Finch

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Moderators’ Experiences of the Safety and Effectiveness of Patient Engagement in an Asthma Online Health Community: Exploratory Qualitative Interview Study by Helen E Wood, Georgios Dimitrios Karampatakis, Neil S Coulson, Nishanth Sastry, Xiancheng Li, Stephanie J C Taylor, Chris J Griffiths, Anna De Simoni

“…Three main themes were generated from data analysis: moderation processes, challenges to effective moderation, and OHC effectiveness. …”
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Establishment and validation of predictive model of ARDS in critically ill patients by Senhao Wei, Hua Zhang, Hao Li, Chao Li, Ziyuan Shen, Yiyuan Yin, Zhukai Cong, Zhaojin Zeng, Qinggang Ge, Dongfeng Li, Xi Zhu

“…Results 400 critically ill patients were included in the analysis, with 117 developing ARDS during follow-up. …”
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Clinical and cost evaluation of intensive support team (IST) models for adults with intellectual disabilities who display challenging behaviour: a comparative cohort study protocol by Angela Hassiotis, Rebecca Jones, Brynmor Lloyd-Evans, Renee Romeo, Nicola Morant, Ken Courtenay, Ian Hall, Athanasia Kouroupa, Vicky Crossey, Laurence Taggart, Peter Langdon, Victoria Ratti, Vincent Kirchner

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THE ARTISTIC POTENTIAL OF CHORAL CONDUCTING IN CONTEMPORARY UKRAINE by Lyudmyla SHUMSKA, Yuliia PUCHKO-KOLESNYK, Lyudmyla KOSTENKO, Oleksandr VILA-BOTSMAN, Olha MARTYNOVSKA

“…As part of the methodological approach to the study, a comparative and structural analysis was applied, including the processing of statistical data on choral performances on the YouTube platform, as well as an analysis of the use of modern technologies in Ukrainian music institutions based on open sources. …”
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Giving justice to listening: exploring the impact of a novel dialogical approach to mental wellbeing on healthcare staff by Isaac Nsiah, Cornelia Junghans, Cornelia Junghans, Henock B. Taddese, Anna Dentschuk, Amanda Bueno de Mesquita, Matthew Ball

“…We used self-determination theory and transformational learning theory as guiding conceptual frameworks. In addition, we applied thematic analysis to post-course feedback gathered from participants to explore if views of the training differ between the time of the training (post course feedback) and several months later when the interviews were carried out. …”
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Serum trihalomethanes and cognitive decline: investigating environmental risk factors for neurodegenerative diseases by Jianping Liu, Sufang Wang, Yuanying Song, Rong Luo, Lijian Han, Lijian Han

“…Cognitive performance was assessed using CERAD Word Learning and Delayed Recall, animal fluency test (AFT), and digit symbol substitution test (DSST). …”
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Multimodal prediction based on ultrasound for response to neoadjuvant chemotherapy in triple negative breast cancer by Maohua Lyu, Shouheng Yi, Chunyan Li, Yu Xie, Yu Liu, Zeyan Xu, Zhitao Wei, Huan Lin, Yunlin Zheng, Chunwang Huang, Xi Lin, Zaiyi Liu, Shufang Pei, Biao Huang, Zhenwei Shi

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Uncovering key markers and therapeutic targets for renal fibrosis in diabetic kidney disease through bulk and single-cell RNA sequencing by Lijuan Li, Mi Tao, Xueyun Gao, Quan Cao, Zejing Liao, Feng Chen, Ayinigaer Yusufu, Haihang Nie, Ziyue Zeng, Kai Huang, Xuan Deng, Ping Gao, Xiaoyan Wu

“…Essential genes were subsequently confirmed by machine learning and single-cell RNA sequencing (scRNA-seq). …”
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Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models by Vasundhara Acharya, Bülent Yener, Gillian Beamer

“…However, patch-wise analysis of WSIs often falls short of capturing the intricate cell-level interactions within local microenvironment. …”
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Experiences, challenges, and training reflections of nurses in isolation wards during different pandemic prevention policy periods: a qualitative study by Dandan Zhang, Yitong Jia, Yongjun Chen, Qingqing Liao, Meimei Wang, Yin-Ping Zhang

“…Twenty-four frontline nurses from various hospitals in China were recruited using snowball sampling for in-depth interviews, which spanned two months. Data analysis was conducted using Giorgi’s phenomenological approach, involving coding and theme extraction. …”
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Elements of organisation of integrated maternity care and their associations with outcomes: a scoping review protocol by Soo Downe, Ank de Jonge, Pim P Valentijn, Suzanne Thompson, Hester Rippen, Corine J M Verhoeven, Jolanda Liebregts, Bahareh Goodarzi, Jan Jaap Erwich, George Burchell, Ronald Batenburg, Eline F de Vries, Irene de Graaf, Puck van Heemstra, Jeroen Struijs, Susanne Zuidhof, Inge Boesveld, Anouk Kaiser, Mirjam Fransen, Durk Berks, Pauline Haga, Katarzyna Burzynska, Joland Vermolen, Lucienne Bakker, Mariëtte Hoogsteder, Lillian Peters, Conny Vreugdehil, Aimée Sparendam-Bruijnincx, Betty de Vries, Elle Struijf, Lillianne van der Velde, Bert Horlings, Marianne Nieuwenhuijze, Marc Roosenboom, Simone Plaizier

“…We will undertake a systematic search in the databases PubMed, Scopus, Cochrane and PsycINFO. A machine learning tool, ASReview, will be used to select relevant papers. …”
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The characterization of serum proteomics and metabolomics across the cancer trajectory in chronic hepatitis B‐related liver diseases by Jin Xiao, Hang Liu, Jun Yao, Shuang Yang, Fenglin Shen, KunPeng Bu, Zhenxin Wang, Fan Liu, Ningshao Xia, Quan Yuan, Hong Shu, Yueting Xiong, Xiaohui Liu

“…These two biomarker combinations significantly improved accuracy compared to traditional tumor biomarkers. Our extensive analysis provides valuable proteomic and metabolomic data resources that will contribute to a deeper understanding of liver disease progression and enhance the identification of potential therapeutic targets.…”
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A multi-modal multi-branch framework for retinal vessel segmentation using ultra-widefield fundus photographs by Qihang Xie, Qihang Xie, Xuefei Li, Yuanyuan Li, Yuanyuan Li, Jiayi Lu, Jiayi Lu, Shaodong Ma, Yitian Zhao, Yitian Zhao, Jiong Zhang, Jiong Zhang

“…BackgroundVessel segmentation in fundus photography has become a cornerstone technique for disease analysis. Within this field, Ultra-WideField (UWF) fundus images offer distinct advantages, including an expansive imaging range, detailed lesion data, and minimal adverse effects. …”
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