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  1. 48301

    Immunogenicity and safety of HepE Hecolin® in chronic hepatitis B patients at clinically stable stage: An open-label study in China by Li Zhang, Qiufen Zhang, Jiaye Liu, Wenlong Wu, Zechun Jiang, Bingyu Yan, Qingfan Cao, Haidong Liu, Huirong Pan, Jingjing Lv, Yi Feng, Fujie Xu, Shoujie Huang, Aiqiang Xu

    Published 2025-12-01
    “…HepE was administered for 0, 1, 6 months for all participants. At 1 month after the third-dose vaccination (month 7), the seroconversion rates of anti-HEV IgG were >97% in both groups. …”
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  2. 48302

    Biomarkers for Predicting Left Atrial or Left Atrial Appendage Thrombus in Anticoagulated Patients with Nonvalvular Atrial Fibrillation by Xue Zhou, Zuolan Wang, Shuang Dou, Kangyin Chen, Enzhao Liu, Tong Liu, Guangping Li, Jingjin Che

    Published 2020-01-01
    “…The results of multivariate logistic regression analysis showed that N-terminal pro-B-type natriuretic peptide (NT-proBNP) (OR, 2.179; 95% CI: 1.191–3.987; p=0.012) and red cell distribution width (RDW) (OR, 2.398; 95% CI: 1.075–5.349; p=0.033) were independently correlated with the presence of LA/LAA thrombus but not D-dimer (OR, 0.999; 95% CI: 0.998–1.000; p=0.210). When all patients were divided into four groups based on the combination between RDW (cutoff value: 12.95%) and NT-proBNP levels (cutoff value: 368.9 ng/L), the rate of LA/LAA thrombus was the highest in the high RDW and NT-proBNP group. …”
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  3. 48303

    Tradition and Development of Lithuanian Terminology by Antanas Smetona

    Published 2024-03-01
    “…Despite the complex situation and language dynamics, the publication of term dictionaries in diverse scientific fields flourished. Notably, all education, from primary school to dissertation defence, was available in the Lithuanian language. …”
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  4. 48304

    Ultrasound-Assisted versus Endoscopic Nasojejunal Tube Placement for Acute Pancreatitis: A Retrospective Feasibility Study by Gang Li, Jiajia Lin, Yang Liu, Qi Yang, Zhihui Tong, Lu Ke, Weiqin Li

    Published 2021-01-01
    “…This is a retrospective study. All the data were extracted from an electronic database from August 2015 to October 2017. …”
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  5. 48305
  6. 48306

    Genetic variants associated with sepsis-associated acute kidney injury. by Nicholas J Douville, Lisa Bastarache, Emily Bertucci-Richter, Snehal Patil, Elizabeth S Jewell, Robert E Freundlich, Miklos D Kertai, Milo C Engoren

    Published 2024-01-01
    “…Notably, rs184516290 (chr1:199814965:G:A), near the NR5A2 gene, chr1:199805801:T:TA, also near the NR5A2 gene, and rs117313146 (chr15:31999784:G:C), near the CHRNA7 gene, were associated with S-AKI at the suggestive level in all three models presented. Variants in the suppressor of fused homolog (SUFU) gene, previously shown to be correlated with renal function in bacteremic patients, consistently exceeded the P<0.05 threshold in our models.…”
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  7. 48307

    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
    “…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. Methods: All registered members of IRA were invited to participate in this registry and provide information of reverse transcription–polymerase chain reaction confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV2)-infected RD patients using an online platform https://iradatabaseard.in/iracovid/index.php. …”
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  8. 48308

    Designing a Stock Recommender System Using the Collaborative Filtering Algorithm for the Tehran Stock Exchange by Marziyeh Nourahmadi, Ali Rahimi, Hojjatollah Sadeqi

    Published 2024-06-01
    “…This method is founded on two key assumptions: first, market inefficiency, meaning the stock market does not completely and accurately reflect all available information; and second, the presence of hidden information in stock movements, indicating that these movements contain valuable insights that can influence the prices of other stocks in the market. …”
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  9. 48309

    Characterization of Congolese Woody Biomass and Its Potential as a Bioenergy Source by Maryse D. Nkoua Ngavouka, Tania S. Mayala, Dick H. Douma, Aaron E. Brown, James M. Hammerton, Andrew B. Ross, Gilbert Nsongola, Bernard M’Passi-Mabiala, Jon C. Lovett

    Published 2025-01-01
    “…XRF analysis revealed low levels of heavy metals in all samples. The HHV results, using three models (Dulong’s equation, Friedl, and proximate analysis), showed higher values with Friedl’s method (17.3–18.2 MJ/kg) and proximate analysis (15.26–19.23 MJ/kg) compared to Dulong’s equation (13.9–14.9 MJ/kg). …”
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  10. 48310

    Ion suppression correction and normalization for non-targeted metabolomics by Iqbal Mahmud, Bo Wei, Lucas Veillon, Lin Tan, Sara Martinez, Bao Tran, Alexander Raskind, Felice de Jong, Yiwei Liu, Jibin Ding, Yun Xiong, Wai-kin Chan, Rehan Akbani, John N. Weinstein, Chris Beecher, Philip L. Lorenzi

    Published 2025-02-01
    “…Across the broad range of conditions tested, all detected metabolites exhibit ion suppression ranging from 1% to >90% and coefficients of variation ranging from 1% to 20%, but the Workflow and companion algorithms are highly effective at nulling out that suppression and error. …”
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  11. 48311

    Comprehensive metabolite profiling and evaluation of anti-nociceptive and anti-inflammatory potencies of Nypa fruticans (Wurmb.) leaves: Experimental and in-silico approaches by Farhana Islam, Md. Aktaruzzaman, Md. Tarikul Islam, Fariya Islam Rodru, Saquiba Yesmine

    Published 2025-02-01
    “…In the in-vivo anti-inflammatory assay, EENF exhibited the highest (50.39 % and 67.72 %) inhibition of edema at the fourth hour at 200 and 400 mg/kg body weight, accordingly. Moreover, all the pain modulation studies demonstrated significant (p < 0.001) analgesic properties of EENF in a dose-dependent manner. …”
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  12. 48312
  13. 48313

    Identification of Anoikis-Related Genes in Chronic Kidney Disease Based on Bioinformatics Analysis Combined with Experimental Validation by Liu H, Mei M, Zhong H, Lin S, Luo J, Huang S, Zhou J

    Published 2025-01-01
    “…WGCNA yielded 6 hub genes, all of which demonstrated significant diagnostic potential in univariate logistic regression analysis (P< 0.05). …”
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  14. 48314

    Evaluating the performance of snow depth reanalysis products in the arid region of Central Asia by Liancheng Zhang, Guli∙Jiapaer, Tao Yu, Hongwu Liang, Kaixiong Lin, Tongwei Ju, Philippe De Maeyer, Tim Van de Voorde

    Published 2025-12-01
    “…Both in situ data and TCH indicate poor performance for all five SD products in Tajikistan and in high-altitude areas. …”
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  15. 48315

    The Immunohistochemical Prognostic Value of Nuclear and Cytoplasmic Silent Information Regulator 1 Protein Expression in Saudi Patients with Breast Cancer by Bayan Alharbi, Alia Aldahlawi, Mourad Assidi, Fatemah Basingab, Kawther Zaher, Jehan Alrahimi, Sara Mokhtar, Jaudah Al-Maghrabi, Abdelbaset Buhmeida, Kaltoom Al-Sakkaf

    Published 2025-01-01
    “…SIRT1 was stained on tissue microarray slides using automated immunohistochemistry. Results: All BC subtypes expressed more nuclear SIRT1 proteins than their cytoplasm counterparts. …”
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  16. 48316

    Elements of Success After Metatarsectomy Healing of Neuropathic Diabetic Foot Ulcers by Hossein Hemmati, Behrang Motamed, Sedighe Masoudi Taramsari, Mohammad Taghi Ashoobi, Mohaya Farzin, Habib Eslami Kenarsari, Rastin Hosseinzaeh Asli, Zahra Abbasi Ranjbar, Milad Sarafi

    Published 2025-01-01
    “…The mean duration of diabetes in 16 patients was 18.06 years. All wounds healed completely with an average healing time of 4 months (100% epithelialization). …”
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  17. 48317

    Efficiency of the data generated by the robotic milking system for comprehensive diagnosis of mastitis in cows by M. N. Isakova, M. V. Ryaposova

    Published 2023-06-01
    “…Significant MDi increase to more than 2.2 was found in 21.3% of high-yielding cows. All animals with MDi higher than 1.8 (28 animals) were examined for mastitis. …”
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  18. 48318

    Prevalence of lumpy skin disease and associated risk factors in beef cattle in Rembang Regency, Central Java, Indonesia by Yayan Taufiq Hidayat, Roza Azizah Primatika, Yatri Drastini

    Published 2025-01-01
    “…The data related to the LSD were analyzed using descriptive statistics, bivariate analysis with Chi-square and odd ratios, and multivariate logistic regression to retrieve the logit model. All data were compiled in Microsoft® Excel, while analyses were performed using SPSS version 26.0. …”
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  19. 48319

    Risk factors for COVID-19 hospitalisations and deaths in Mexican children and adolescents: retrospective cross-sectional study by Mauricio Hernandez-Avila, Libny Martínez-Valdez, Vesta Richardson López Collada, Luis Enrique Castro-Ceronio, Ángela María Rodríguez Gutiérrez, Aurora Bautista-Márquez

    Published 2022-06-01
    “…Cumulative incidence, mortality, case fatality rates and ORs for hospitalisation and death were estimated by age group.Results 5.5% (204 641) of national COVID-19 cases were children under 18 years of age: 2.9% under 1 year, 12.5% from 1 to 5 years, 15% from 6 to 9 years and 69.4% from 10 to 17 years. 4.6% of all cases were hospitalised, from which 54.6% were male, 35.3% were children under 1 year old, 39.6% were adolescents and 34% had pneumonia. …”
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  20. 48320

    The impact of prolonged blockade of the releasing hormone on alterations in cardiac macrophage polarisation subsequent to quercetin administration in rats by T.A. Voroshylova, V.I. Shepitko, Ye.V. Stetsuk, N.V. Boruta, O.V. Vilkhova, M.V. Rud, G.S. Puzyryov, O.V. Sych, А.A. Miahkokhlib

    Published 2024-12-01
    “…The extracellular matrix provides structural support and mechanical signals for resident cells, and stores biologically active signaling molecules. All cells are subject to changes under the influence of various factors, some of which are induced by macrophages containing CD68 and CD163. …”
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