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  1. 6921

    Exploring and detecting predictors associated with survival and mortality of cervical cancer patients: a 10-year retrospective study by Shaba Muneeha, Raushan Kumar Chaudhary, Vijith Vittal Shetty, Soumya Patil, Uday Venkat Mateti

    Published 2025-02-01
    “…Using cox regression analysis, advanced age (age > 50 years: hazard ratio (HR): 1.82), underweight (BMI < 18.5: HR:1), postmenopause (HR:1), advanced stage of cervical cancer (Stage I, Stage II, Stage III, Stage IV: HR:1, HR:2.78, HR:10.08, HR:20.81), poorly differentiated cervical cancer (HR:1.70), radiation therapy (HR:4.86), chemotherapy (HR:6.55) or chemoradiation therapy (HR:3.31) and surgery plus chemotherapy (HR: 4.55) were identified to be significant predictors of mortality among cervical cancer patients. …”
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  2. 6922

    Maternal age-related declines in live birth rate following single euploid embryo transfer: a retrospective cohort study by Wei Jiang, Zichen Zheng, Nan Yan, Shuang Yao, Qijun Xie, Danyu Ni, Shanren Cao, Chun Zhao, Xiufeng Ling

    Published 2025-02-01
    “…Multivariable regression analysis revealed that compared with women aged ≥ 38 years, younger women had reduced risk of miscarriage (aOR = 0.371, 95% CI: 0.139–0.988 for the < 35 years group; aOR = 0.317, 95% CI: 0.106–0.954 for the 35–37 years group) and increased likelihood of live birth (aOR = 2.188, 95% CI: 1.154–4.147 for the < 35 years group; aOR = 2.239, 95% CI: 1.0103–4.548 for the 35–37 years group) after adjusting for relevant confounders. …”
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  3. 6923
  4. 6924

    A Nomogram Based on Circulating Inflammatory Factors for Predicting Prognosis of Newly Diagnosed Multiple Myeloma Patients by Wang M, Yue X, Ding Y, Cai Z, Xiao H, Huang H, He J

    Published 2025-02-01
    “…Mowang Wang,1– 4,&ast; Xiaoyan Yue,5,&ast; Yingying Ding,5,&ast; Zhen Cai,1,4 Haowen Xiao,5 He Huang,1– 4 Jingsong He1,4 1Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People’s Republic of China; 2Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, Zhejiang Province, People’s Republic of China; 3Institute of Hematology, Zhejiang University, Hangzhou, Zhejiang Province, People’s Republic of China; 4Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, Zhejiang Province, People’s Republic of China; 5Department of Hematology and Cell Therapy, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: He Huang; Jingsong He, Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang Province, 310006, People’s Republic of China, Email huanghe@zju.edu.cn; hejingsong@zju.edu.cnPurpose: The growth and survival of multiple myeloma (MM) cells depend heavily on bone marrow microenvironment, where inflammation emerges as a significant feature and is commonly associated with unfavorable prognosis in MM. …”
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  5. 6925

    Outcome and Management of Sepsis at RozhHalat Emergency Hospital in Erbil –Kurdistan region of Iraq by Samir Qader Ahmad, Shakawan Muhamad Ismaeel, Dara Ahmed Mohammed Ahmed Mohammed, Halgurd Fathulla Ahmed

    Published 2018-07-01
    “…A Positive blood culture associated with higher mortality rate of 81% compared with 21% if the blood culture was negative. …”
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  6. 6926

    Comparative analysis of dominant gut microbiota in Inflammatory Bowel Disease patients and healthy individuals: A case-control study by Alireza Ahmadi, Ebrahim Kouhsari, Shabnam Razavi, Nima Mohamadzadeh, Sima Besharat, Mohammad Ali Vakili, Taghi Amiriani

    Published 2025-04-01
    “…While some bacterial groups exhibited trends toward higher abundance in either CD or UC patients, these differences were not statistically significant (p-value >0.111). The correlation matrix analysis revealed specific co-occurrence patterns: Bacteroides showed a strong negative correlation with Prevotella, more abundant in healthy controls, suggesting a shift in dominance in IBD patients. …”
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  7. 6927
  8. 6928

    Analisis Sentimen pada Data Saran Mahasiswa Terhadap Kinerja Departemen di Perguruan Tinggi Menggunakan Convolutional Neural Network by Yuliska Yuliska, Dini Hidayatul Qudsi, Juanda Hakim Lubis, Khairul Umum Syaliman, Nina Fadilah Najwa

    Published 2021-10-01
    “…Word2Vec digunakan sebagai representasi data saran dan inputan awal pada CNN, dimana Word2Vec merupakan dense vectors yang dapat merepresentasikan hubungan antar kata pada data saran dengan baik. …”
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  9. 6929
  10. 6930
  11. 6931

    Deposition behaviors and interfacial interaction mechanism between carboxyl-modified polystyrene nanoplastics and magnetite in aquatic environment by Meimei Ran, Xin Nie, Jingxin Wang, Ruiyin Xie, Xiaoping Lin, Hanjun Zhu, Quan Wan, Yuhong Fu

    Published 2025-01-01
    “…Moreover, when the concentration of phosphate exceeded 0.01 mM, the deposition of COOH-PSNPs was completely hindered. …”
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  12. 6932
  13. 6933

    High concentrations of polyethylene microplastics restrain the growth of Cinnamomum camphora seedling by reducing soil water holding capacity by Run Yang, Jinping Wang, Huanying Fang, Jinwen Xia, Guomin Huang, Rongzhen Huang, Hong Zhang, Liqin Zhu, Lichao Zhang, Jihong Yuan

    Published 2025-01-01
    “…In the current study, a 6-month pot experiment was conducted to investigate the inhibitory effect of soil polyethylene microplastics (PE-MPs) (average size of 6.5 µm) with increasing concentrations (0, 0.1 %, 0.5 %, 1 %, and 2 % w/w) on the growth of Cinnamomum camphora seedlings. …”
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  14. 6934

    Crimean-Congo haemorrhagic fever virus screening among African individuals in Spain: Lessons to learn by Helena Miriam Lorenzo Juanes, Amparo López-Bernus, Belen Vicente, Montserrat Alonso-Sardón, Beatriz Rodríguez Alonso, Josue Pendones Ulerio, Pedro Fernandez Soto, Juan Luis Muñoz Bellido, Antonio Muro, Moncef Belhassen-García

    Published 2025-03-01
    “…Among these individuals, 18 were IgG positive and 9 were IgM positive, resulting in an IgG seroprevalence against CCHFV of 3.71 % and an IgM seroprevalence of 1.85 %. Most IgG-positive samples were collected in 2010 (14/316), representing a seroprevalence of 4.43 %. …”
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  15. 6935

    Cancer mortality and sectors of employment: a cohort study in Italy by Stefania Massari, Lisa Bauleo, Claudio Gariazzo, Paola Michelozzi, Luca Dei Bardi, Nicolas Zengarini, Sara Maio, Massimo Stafoggia, Marina Davoli, Giovanni Viegi, Giulia Cesaroni, Alessandro Marinaccio, on behalf of the BIGEPI Collaborative Group

    Published 2025-02-01
    “…In men we observed an increased mortality risk for stomach cancer in the printing and paper industry (HR = 1.69, 95% CI:1.11–2.57) as well as for stomach and lung cancer in cleaning activities (HR = 1.98, 95% CI:1.13–3.49 and HR = 1.55, 95% CI:1.22–1.98, respectively). …”
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  16. 6936

    Protocol for a randomised phase 3 trial evaluating the role of Finasteride in Active Surveillance for men with low and intermediate-risk prostate cancer: the FINESSE Study by Samuel Smith, Peter Sasieni, William Cross, Richard Bryant, Steven Kennish, James Catto, Rachel Hubbard, Simon Faulkner, Rohit Chahal, Mohantha Dooldeniya, Marcus Cumberbatch, Bernard North, Alastair D Lamb, Roseann Kealy, Selina Bhattrai

    Published 2025-02-01
    “…Analysis is Intention to Treat.Ethics and dissemination The study received Health Research Authority and South-Central Oxford Research Ethics Committee (14/12/2021: 21/SC/0349) and CTA/MHRA (29/12/2021: 21304/0274/001–0001) approvals. …”
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  17. 6937

    Analisis Sentimen Berbasis Aspek Pada Ulasan Pelanggan Restoran Menggunakan Algoritma Support Vector Machine (Studi Kasus: Depot Bamara) by Muhammad Fariz Firdaus, Dian Eka Ratnawati, Nanang Yudi Setiawan

    Published 2024-12-01
    “…Depot Bamara adalah rumah makan yang belum efektif dalam memanfaatkan ulasan pelanggan karena kurangnya teknologi dan sumber daya manusia yang ahli dalam menerapkannya. Salah satu solusi yang dapat diimplementasikan adalah menggunakan analisis sentimen berbasis aspek dengan bantuan pembelajaran mesin. …”
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  18. 6938
  19. 6939

    Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

    Published 2025-02-01
    “…The predictive power of each feature was assessed using a composite measure derived from individual algorithm estimates.ResultsThe model demonstrated a mean AUC-ROC of 0.75-0.76, with mean sensitivity of 0.77-0.81, precision (also referred to as Positive Predictive Value) of 0.77-0.79 and specificity of 0.63-0.66 across the criteria. …”
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  20. 6940