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  1. 10061

    Sociodemographic predictors of flourishing among community older adults in China by Xin Yi, Xiaoyun Liu, Xiaoqun Liu, Gang Chen, Yujie Xie, Chenhao Lin, Hangqin Lv, Yingchun Li, Shuang Wu

    Published 2025-01-01
    “…The data were collected and recorded in a database using a two-person input format. Data analysis was conducted using SPSS Windows software version 26.0. …”
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  2. 10062

    M1 and M2 Macrophage Polarization Correlates with Activity and Chronicity Indices in Lupus Nephritis by Chutima Chavanisakun, Rassamon Keawvichit, Nontawat Benjakul

    Published 2025-01-01
    “…<b>Materials and Methods:</b> We retrospectively reviewed 160 renal biopsy specimens in patients with LN (ISN/RPS classes II–V) from the database of the Department of Anatomical Pathology, the Faculty of Medicine Vajira Hospital, Navamindradhiraj University (2012–2021). …”
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  3. 10063

    Single-cell profiling transcriptomic reveals cellular heterogeneity and cellular crosstalk in breast cancer lymphatic node, bone, and brain metastases by Longyu Zhu, Miaomiao Liu, Yuguang Shang, Jingge Cheng, Hongye Zhao, Jun Zhang, Dongxing Shen

    Published 2025-01-01
    “…We analyzed the microenvironment heterogeneity in samples of primary breast cancer (n = 4), breast cancer lymphatic node metastasis (n = 4), breast cancer brain metastasis (n = 3), and breast cancer bone metastasis (n = 2) using single-cell sequencing data from the GEO database. The malignant epithelial cells were characterized by InferCNV algorithm. …”
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  4. 10064

    Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models by Youzhi Lian, Yinyu Shi, Haibin Shang, Hongsheng Zhan

    Published 2024-12-01
    “…Methods The transcriptomic data of patients with LBP from peripheral immune cells were retrieved from the GEO database. Patients with LBP were recruited, and treatment outcomes were assessed after 3 months. …”
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  5. 10065

    Characterization of trends in preoperative hemoglobin A1c testing prior to metabolic and bariatric surgery: a retrospective, observational study by Safraz A. Hamid, Elena Graetz, Emily J. Zolfaghari, Kurt S. Schultz, Eric B. Schneider, Karen E. Gibbs

    Published 2025-01-01
    “…Methods We queried the 2017 to 2022 MBSAQIP database for patients undergoing open, laparoscopic, or robotic Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy. …”
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  6. 10066
  7. 10067

    MT1G promotes iron autophagy and inhibits the function of gastric cancer cell lines by intervening in GPX4/SQSTM1 by Kaiqiang Meng, Jian Song, Fan Qi, Jiamin Li, Zhichao Fang, Liang Song

    Published 2024-11-01
    “…Perform bioinformatics analysis using the TCGA database to investigate the expression of MT1G in GC. …”
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  8. 10068

    Impact of COVID-19 on rheumatic diseases in india: Determinants of mortality and adverse outcome: A retrospective, cross-sectional cohort study by Avinash Jain, Vineeta Shobha, S Chandrashekara, Padmanabha Shenoy, Sapan C Pandya, Prakash Chotalia, Sharath Kumar, Sourabh Malviya, Yogesh Preet Singh, Abhishek Patil, Vikas Gupta, Puja Srivastava, Vijaya Prasanna Parimi, Chanakya Kodishala, Ramya Janardana, Benzeeta Pinto, Sudhir Bhandari, Govind Rankawat, Praveen Pratap Jadhav, Damodaram Potugari, Vishnu Sharma, Alpana Parmar, Sunitha Kayidhi, Paul T Antony, Ashish Badika, Amit Sharma

    Published 2023-01-01
    “…Across the world, many rheumatology associations have joined hands to collate-related information. A national database under Indian Rheumatology Associations (IRAs) was developed to understand the impact of underlying RD and immunosuppressants during the COVID pandemic on its severity and outcome in our country. …”
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  9. 10069

    Multi-dimensional scaling for space-time transformation to achieve sustainable planning and management of water resource under changing land use pattern by Mohd Sayeed Ul Hasan, Abhishek Kumar Rai, Abul Hasan Momin, Mohammad Amir Khan, Faisal M. Alfaisal, Shamshad Alam, Osamah J. Al-sareji, Ali Majdi

    Published 2025-01-01
    “…The multi-temporal spatial database includes land use (ESA-CCI), satellite-based gravity anomaly (GRACE/GRACE-FO), and well log (CGWB) adopted in this study for assessment of the impact of land use transition on groundwater depth, groundwater drought, and terrestrial water storage. …”
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  10. 10070

    Characterization of the complete genome sequence of the recombinant norovirus GII.P16/GII.4_Sydney_2012 revealed in Russia by E. V. Zhirakovskaia, A. Y. Tikunov, S. N. Sokolov, B. I. Kravchuk, E. I. Krasnova, N. V. Tikunova

    Published 2020-03-01
    “…Before this study, only four complete genome sequences of the Russian GII.P16/GII.3 norovirus strains were available in the GenBank database. In this work, the complete genome sequence of the Russian strain Hu/GII.P16-GII.4/RUS/Novosibirsk/NS16-C38/2016 (GenBank KY210980) was determined. …”
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  11. 10071

    Shanghai et Guangzhou sont les deux agglomérations urbaines les plus peuplées du monde by François Moriconi-Ebrard, Joan Perez

    Published 2017-04-01
    “…Por suas dimensões excepcionais, os centros de Shanghai e Guangzhou, finalmente, nos dão a refletir sobre definições, conceitos e desafios que vão muito além do "Império do Meio".The population update of the Geopolis database shows that the two most populated urban agglomerations of the world are now located in China. …”
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  12. 10072

    Harnessing the Power of Machine Learning Guided Discovery of NLRP3 Inhibitors Towards the Effective Treatment of Rheumatoid Arthritis by Sidra Ilyas, Abdul Manan, Chanyoon Park, Hee-Geun Jo, Donghun Lee

    Published 2024-12-01
    “…In this study, a multidisciplinary approach combining machine learning, quantitative structure–activity relationship (QSAR) modeling, structure–activity landscape index (SALI), docking, molecular dynamics (MD), and molecular mechanics Poisson–Boltzmann surface area MM/PBSA assays was employed to identify novel NLRP3 inhibitors. The ChEMBL database was used to retrieve compounds with known IC<sub>50</sub> values to train machine learning (ML) models using the Lazy Predict package. …”
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  13. 10073

    Impact of breeder seed multiplication and certified quality seed distribution on rice production in India by Gogineni S. V. Prasad, Chilukuri S. Rao, Kota Suneetha, Kalambur Muralidharan, E. A. Siddiq

    Published 2022-06-01
    “…Methods We created a database and analyzed data on BS production for 24 years (1995–96 to 2018–19) in 475 inbred and 22 F1 hybrid cultivars. …”
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  14. 10074

    Effectiveness of Gastric Cancer Endoscopic Screening in Intermediate-Risk Countries: Protocol for a Systematic Review and Meta-Analysis by Maria Beatriz Mourato, Nuno Pratas, Andreia Branco Pereira, Filipa Taré, Raphael Chança, Inês Fronteira, Rui Dinis, Miguel Areia

    Published 2025-02-01
    “…The selected studies will then be fully analyzed, and the data will be collected and coded in a database. To minimize the risk of bias, the included studies will undergo a quality analysis according to Cochrane risk of bias tools, RoB 2 of randomized trials and ROBINS-I for nonrandomized trials; Newcastle-Ottawa Quality Assessment Scale for case-control and cohort studies; and National Heart, Lung and Blood Institute study quality assessment tools for cross-sectional studies. …”
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  15. 10075

    Predictors of failure of DISE-directed adenotonsillectomy in children with sleep disordered breathing by Noura Alsufyani, Andre Isaac, Manisha Witmans, Paul Major, Hamdy El-Hakim

    Published 2017-05-01
    “…Methods We retrospectively reviewed a prospective database of children who presented with SDB. All patients underwent preoperative pulse oximetry (PO), followed by DISE with T ± A, The variables documented included demographics, ethnicity, co-morbidities, family history, McGill Oximetry Score (MOS) on PO, as well as findings of collapse and or obstruction on DISE and symptom resolution based on modified Pediatric Sleep Questionnaire (PSQ). …”
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  16. 10076

    Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for t... by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

    Published 2025-06-01
    “…In total, 1082 documents published in the last 70 years, in Scopus Database, were selected for the study. The annual growth rate recorded for publications in this field reached 3.78% per year, with 31.52% international contribution and 22.2 citations per document. …”
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  17. 10077

    Racial differences in takotsubo cardiomyopathy outcomes in a large nationwide sample by Raja Zaghlol, Amit K. Dey, Sameer Desale, Ana Barac

    Published 2020-06-01
    “…Methods and results We conducted a US‐wide analysis of TC hospitalizations from 2006 to 2014 by querying the National Inpatient Sample database for the International Classification of Diseases‐ninth Revision TC code, characteristics, and inpatient outcomes. …”
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  18. 10078

    Promotive effect of cancer-testis antigen CT57 on proliferation, invasion, migration and epithelial-mesenchymal transition of liver cancer cells by LUO Lange, ZHENG Chao, LEI Ming

    Published 2024-11-01
    “…Results·Bioinformatics analysis of multiple tumors and corresponding normal tissues in The Cancer Genome Atlas Program (TCGA) database showed that CT57 was highly expressed in most tumor tissues, including liver cancer, and the expression level of CT57 was significantly correlated with the prognosis of liver cancer patients. …”
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  19. 10079

    Immune regulatory genes impact the hot/cold tumor microenvironment, affecting cancer treatment and patient outcomes by Mengmeng Sang, Jia Ge, Juan Ge, Juan Ge, Gu Tang, Qiwen Wang, Jiarun Wu, Liming Mao, Liming Mao, Xiaoling Ding, Xiaorong Zhou

    Published 2025-01-01
    “…Nevertheless, as yet there is no consensus regarding the clinically relevant definition of hot/cold tumors, and the influence of immune genes on the formation of hot/cold tumors remains poorly understood.MethodsData for 33 different types of cancer were obtained from The Cancer Genome Atlas database, and their immune composition was assessed using the CIBERSORT algorithm. …”
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  20. 10080

    Factors influencing gender and youth integration in agricultural research and innovation in Africa by Mastewal Yami, Oyewale Abioye, Sougrynoma Zainatou Sore, Aline Mugisho, Tahirou Abdoulaye

    Published 2024-02-01
    “…This study examined current discussions on gender and youth integration across projects with particular emphasis on the Food and Nutrition Security and Sustainable Agriculture (FNSSA) project database. The desk review was supplemented by 30 interviews with key informants in FNSSA projects across Africa including Benin, Democratic Republic of the Congo, Cameroon, Ghana, Madagascar, Nigeria, Kenya, Senegal, Sudan, Togo, and Uganda, and an interactive workshop with key stakeholders working on gender and youth integration issues across Africa. …”
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