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  1. 23841

    DNA metabarcoding unveils authenticity and adulteration in commercial Chinese polyherbal preparations: Renshen Jianpi Wan as a critical case study by Shilin Zhou, Ting Zhou, Yanmei Zhang, Bingqian Yang, Junmei Niu, Weixian Li, Yiyi Weitu, Faming Long, Zhenwen Liu, Zhenwen Liu, Zhenwen Liu, Jing Zhou, Jing Zhou

    Published 2025-04-01
    “…The integration with complementary analytical methods such as metabolomics could provide more comprehensive quality assessment in future studies, demonstrating the necessity of multi-analytical approaches in ensuring the authenticity of traditional medicine.…”
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    Article
  2. 23842

    CFD-DEM simulation on flow behavior and heat transfer characteristics in a zigzag moving bed for soil disinfection by Huanguang Zhu, Chao He, Gang Li, Xinxin Liu, Youzhou Jiao

    Published 2025-08-01
    “…The research can provide theoretical guidance for the optimal operation of equipment.…”
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    Article
  3. 23843
  4. 23844

    Analysis of Powassan Virus Genome Sequences from Human Cases Reveals Substantial Genetic Diversity with Implications for Molecular Assay Development by Erik H. Klontz, Navid Chowdhury, Nolan Holbrook, Isaac H. Solomon, Sam R. Telford, Matthew T. Aliota, Chantal B. F. Vogels, Nathan D. Grubaugh, Jeffrey Helgager, Holly R. Hughes, Jason Velez, Anne Piantadosi, Charles Y. Chiu, Jacob Lemieux, John A. Branda

    Published 2024-10-01
    “…An in silico analysis of published POWV PCR assays shows that many assays were optimized against a single clade and have mismatches that may affect their sensitivity when applied across clades. …”
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    Article
  5. 23845

    Predicting mucosal healing in Crohn’s disease: development of a deep-learning model based on intestinal ultrasound images by Li Ma, Yuepeng Chen, Xiangling Fu, Jing Qin, Yanwen Luo, Yuanjing Gao, Wenbo Li, Mengsu Xiao, Zheng Cao, Jialin Shi, Qingli Zhu, Chenyi Guo, Ji Wu

    Published 2025-06-01
    “…Further validation and improvement of this model with more multi-center, real-world data are needed. Critical relevance statement Predicting treatment response in CD is essential to making an optimal therapeutic regimen. …”
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    Article
  6. 23846

    A study on the relationship between urinary protein-creatinine ratio and 24-hour urinary protein quantity in patients with chronic kidney disease by DENG Yang-jun, HUANG Fen-fen, XIE Xiao-hang, WAN Jia-ying, LIAO Wen-juan, XIONG Fei

    Published 2019-01-01
    “…The prediction equation for random urine was more accurate that for morning urine. Conclusions There is a good correlation between PCR and 24 hUTP in morning urine and random urine. …”
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    Article
  7. 23847

    Comparative Analysis of Laboratory Markers, Severity Scores, and Outcomes in 179 Patients with Severe Acute Pancreatitis by Tudorel Mihoc, Catalin Pirvu, Amadeus Dobrescu, Dan Brebu, Anca Monica Oprescu Macovei, Stelian Pantea, Claudia Borza, Patrick Dumitrescu, Monica Laura Cara

    Published 2025-03-01
    “…Delaying major interventions when feasible, optimizing perioperative care, and early recognition of high-risk patients may improve outcomes. …”
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    Article
  8. 23848

    Epidemiological Characteristics and Trends in the Incidence of Newly Diagnosed Pulmonary Tuberculosis in China from 2016 to 2022 by Caihong Xu, Yaxin Wen, Dongmei Hu, Yuhong Li, Yanlin Zhao

    Published 2025-01-01
    “…In the future, the Tuberculosis prevention and control strategies should be optimized according to epidemiological characteristics. …”
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    Article
  9. 23849

    An upgraded high-precision gridded precipitation dataset for the Chinese mainland considering spatial autocorrelation and covariates by J. Hu, C. Miao, J. Su, Q. Zhang, J. Gou, J. Gou, Q. Sun, Q. Sun

    Published 2025-08-01
    “…This integration allows for a more comprehensive characterization of precipitation patterns, jointly capturing spatial autocorrelation and covariate-based variability. …”
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    Article
  10. 23850

    Surgical timing and clinical factor predicting in-hospital mortality in older adults with hip fractures: a neuronal network analysis by Raffaele Vitiello, Elisa Pesare, Giacomo Capece, Emidio Di Gialleonardo, Andrea De Matthaeis, Francesco Franceschi, Giulio Maccauro, Marcello Covino

    Published 2025-05-01
    “…Today, the incidence of these fractures is on the rise, and this trend is expected to increase even more owing to the aging of the population. Treatment timing and perioperative management of these patients are typically challenging owing to the presence of multiple comorbidities that are important risk factors for mortality after surgery. …”
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    Article
  11. 23851

    Estimated cost-effectiveness of sequential screening for colorectal cancer: evidence from the largest province-wide colorectal cancer screening program in China by Juan Zhu, Bingjie Jiang, Ruyi Xia, Chen Zhu, Weimiao Wu, Lingbin Du

    Published 2025-02-01
    “…Free sequential screening services are offered to residents aged 50-74, using the “Revised Optimized Asia-Pacific Colorectal Screening (APCS) Score” combined with fecal immunochemical testing (FIT)(RF-FIT strategy). …”
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    Article
  12. 23852

    INCREASED PULMONARY BLOOD FLOW IN NEWBORNS WITH CYANOTIC CONGENITAL HEART DEFECTS AND DUCTUS-DEPENDENT PULMONARY BLOOD FLOW: RESULTS AND FEATURES OF OUTPATIENT POSTOPERATIVE FOLLOW... by Anzhelika Mykhailovska, Olga Borodinova, Raad Tammo

    Published 2024-10-01
    “…However, for unfavorable ductal anatomy and in patients with CHD requiring prolonged postponement of the next surgical stage, SPAS remains more optimal choice. Careful monitoring by pediatricians and pediatric cardiologists during the interstage period is critically important.…”
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    Article
  13. 23853

    Effect of diabetes mellitus on spinal cord high signal relief after anterior cervical spine surgery in patients with cervical spondylotic myelopathy by Zichuan Wu, Xuhong Zhang, Hanlin Song, Aochen Xu, Baifeng Sun, Chen Xu, Min Qi, Yang Liu

    Published 2025-07-01
    “…At the same time, we demonstrated that keeping the preoperative HbA1c level within 6.8% was more favourable to the improvement of HCS in patients at 2 years after surgery (Table6 and Table7). …”
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    Article
  14. 23854
  15. 23855

    Development and externally validated prediction model of individualization of FSH starting dose in the depot GnRH agonist protocol for the early follicular phase by Wenqian Fan, Tian Ye, Linqing Du, Lifeng Tian, Huijuan Kong

    Published 2025-03-01
    “…The predictive model of the optimal follicle-stimulating hormone (FSH) starting dose in the early follicular phase depot GnRH agonist (EFDGa) protocol has not been reported. …”
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    Article
  16. 23856
  17. 23857

    ‘Machine Learning’ multiclassification for stage diagnosis of Alzheimer’s disease utilizing augmented blood gene expression and feature fusion by Manash Sarma, Subarna Chatterjee

    Published 2025-06-01
    “…Our research identified a subset of 95 gene transcripts exhibiting optimal efficacy from an extensive collection of over 49,000 transcripts within the ADNI gene expression dataset. …”
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    Article
  18. 23858

    Role of positron emission tomography in predicting early tumor response to neoadjuvant chemotherapy for breast cancer by N. G. Chanchikova, E. A. Karlova, A. S. Savelyeva, O. A. Silkina, V. I. Chernov, R. V. Zelchan, O. D. Bragina, A. A. Medvedeva

    Published 2021-01-01
    “…Based on the research results, an ROC analysis was carried out, which showed that the optimal value of SUV(%) is 73.55 %, which showed the highest sensitivity and specificity.Discussion. …”
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    Article
  19. 23859

    Riboflavin Status in Pregnancy and Its Relationship with Blood Pressure, Heart Rate and Risk of Hypertension: Findings from the OptiPREG Observational Study by Bethany Duffy, Helene McNulty, Mary Ward, Elina Psara, Emma O’Sullivan, Geraldine Horigan, Kristina Pentieva

    Published 2023-11-01
    “…Clinical riboflavin deficiency is common in low- and middle-income countries, whilst sub-optimal riboflavin status may be much more prevalent globally than generally recognized, including in high-income countries. …”
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    Article
  20. 23860