Showing 22,761 - 22,780 results of 23,583 for search '"T cells"', query time: 0.13s Refine Results
  1. 22761

    Genetic basis of depressive disorders by Yu. D. Davydova, R. F. Enikeeva, A. V. Kazantseva, R. N. Mustafin, A. R. Romanova, S. B. Malykh, E. K. Khusnutdinov

    Published 2019-07-01
    “…The results of the second approach (GWAS and WES) revealed that the PCLO, SIRT1, GNL3, GLT8D1, ITIH3, MTNR1A, BMP5, FHIT, KSR2, PCDH9, and AUTS2 genes predominantly responsible for neurogenesis and cell adhesion are involved in liability to depression. …”
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  2. 22762

    Infective agents and polymyalgia rheumatica: key discussion points emerging from a narrative review of published literature by Ciro Manzo, Marco Isetta, Alberto Castagna

    Published 2024-11-01
    “…It is estimated that patients with PMR have manifestations of giant cell arteritis (GCA) in < 20% of cases. To date, little is known on the potential role of infectious agents in facilitating this association. …”
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  3. 22763
  4. 22764

    Ruptured Noncoronary Sinus of Valsalva Aneurysm by Amaury Dagoberto Martínez Hernández, Dayana Pino Jiménez

    Published 2016-08-01
    “…--[if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:HyphenationZone>21</w:HyphenationZone> <w:PunctuationKerning/> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:Compatibility> <w:BreakWrappedTables/> <w:SnapToGridInCell/> <w:WrapTextWithPunct/> <w:UseAsianBreakRules/> <w:DontGrowAutofit/> </w:Compatibility> </w:WordDocument> </xml><!…”
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  5. 22765

    Identification of biomarkers associated with coronary artery disease and non-alcoholic fatty liver disease by bioinformatics analysis and machine learning by Chuan Lu, Mei Han, Qiqi Ma, Li Ying, Yue Zhang

    Published 2025-01-01
    “…CIBERSORT algorithm was used to assess the immune cell infiltration, and Spearman’s correlations tests were used for calculating the correlation of biomarker genes. …”
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  6. 22766

    A comparative evaluation of haematological and biochemical parameters of Nemipterus randalli and Pagellus erythrinus species living in Gökova Bay, Türkiye by Rifat Tezel, Ümit Acar, Sercan Yapıcı

    Published 2025-01-01
    “…The results indicate that red blood cell (RBC), haemoglobin (Hb) and haematocrit (Hct) levels significantly increases in summer (p < 0.05). …”
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  7. 22767

    Reliability and concurrent validity of the iHandy level mobile application to measure thoracolumbar range of motion in low back pain patients by Nimra Ijaz, Saima Riaz, Tahreem Raza, Sidra Ali

    Published 2024-12-01
    “…However, the legitimacy and trustworthiness of these cell phones and applications are still questioned. …”
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  8. 22768
  9. 22769

    Clinical Observation of Posterior-Chamber Phakic Implantable Collamer Lens V4c Implantation in Myopic Patients with Shallow Anterior Chamber Depth: A Retrospective, Consecutive Obs... by Juan Yuan, Shuang Wu, Zongli Hu, Chunlin Chen, Shiyang Ye, Jian Ye

    Published 2024-01-01
    “…The patients’ uncorrected and corrected distance visual acuity, angle of trabecular-iris (TIA), angle-opening distance (AOD500), trabecular-iris space area (TISA500), corneal endothelial cell density, vault, retinal nerve fiber layer thickness, intraocular pressure, visual field, and complications were analyzed. …”
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  10. 22770
  11. 22771

    MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction by Dhekra Saeed, Huanlai Xing, Barakat AlBadani, Li Feng, Raeed Al-Sabri, Monir Abdullah, Amir Rehman

    Published 2025-01-01
    “…For example, on the GDSC dataset, MGATAF achieved a 5.12% improvement in the Pearson correlation coefficient (PCC), reaching 0.9312 with an RMSE of 0.0225. Similarly, in new cell-line tests, MGATAF outperformed baselines with a PCC of 0.8536 and an RMSE of 0.0321 on the GDSC dataset, and a PCC of 0.7364 with an RMSE of 0.0531 on the CCLE dataset. …”
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  12. 22772

    Combining machine learning algorithms for bridging gaps in GRACE and GRACE Follow-On missions using ERA5-Land reanalysis by Jaydeo K. Dharpure, Ian M. Howat, Saurabh Kaushik, Bryan G. Mark

    Published 2025-06-01
    “…Unlike previous studies, we use a combination of Machine Learning (ML) methods—Random Forest (RF), Support Vector Machine (SVM), eXtreme Gradient Boosting (XGB), Deep Neural Network (DNN), and Stacked Long-Short Term Memory (SLSTM)—to identify and efficiently bridge the gap between GRACE and GFO by using the best-performing ML model to estimate TWSA at each grid cell. The models were trained using six hydroclimatic variables (temperature, precipitation, runoff, evapotranspiration, ERA5-Land derived TWSA, and cumulative water storage change), as well as a vegetation index and timing variables, to reconstruct global land TWSA at 0.5° grid resolution. …”
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  13. 22773

    Anaemia Associated with Trypanosomes Infections in Cattle of West Gojjam Zone, Northwest Ethiopia by Kumela Lelisa, Behablom Meharenet

    Published 2021-01-01
    “…The mechanism of anaemia due to trypanosomosis is complex and multifactorial in origin. Packed cell volume (PCV) usually gives an indication of the anaemia and disease status of a trypanosome-infected animal. …”
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  14. 22774

    Therapeutic Potential of <i>Lappula patula</i> Extracts on Germline Development and DNA Damage Responses in <i>C. elegans</i> by Qinghao Meng, Anna Hu, Weiyu Xiao, Robert P. Borris, Hyun-Min Kim

    Published 2025-01-01
    “…Apoptosis was quantified by monitoring cell death during the pachytene stage. LC-MS was used to identify bioactive compounds within the extracts. …”
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  15. 22775
  16. 22776

    Counteracting negative effects of salinity on Lepidium sativum L. seedlings by prepared biochar by Amira Mohamed Abd El-Sattar, Zeinab Ashour Shedeed

    Published 2024-10-01
    “…The relative permeability of the cell membrane was associated with substantial increases in lipid peroxidation and hydrogen peroxide. …”
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  17. 22777

    Prevalence and Associated Risk Factors of Gastrointestinal Parasite Infections among Meat Goats in Khon Kaen Thailand by Sarinya Rerkyusuke, Sawarin Lerk-u-suke, Raktham Mektrirat, Anuwat Wiratsudakul, Prapan Kanjampa, Saikam Chaimongkol, Nattaya Phanmanee, Miranda Visuddhangkoon, Panicha Pattayawongdecha, Nanticha Piyapattanakon, Pongpatchara Krajaipan, Pitchapa Sutamwirat

    Published 2024-01-01
    “…Female animals exhibited poor body condition scores (BCS) and anemia, as indicated by the FAMACHA score and packed cell volume (PCV) levels. Correlations between age, clinical signs, hematological parameters, biochemistry, and GI parasite burdens were investigated, revealing significant associations. …”
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  18. 22778

    Mathematical modeling of quorum sensing dynamics in batch culture of luminescent bacterium <i>Photobacterium phosphoreum</i> 1889 by S. I. Bartsev, A. B. Sarangova

    Published 2023-12-01
    “…The requirements for a system model combining ecological, metabolic and genetic levels of cell culture description are formulated. A mathematical model of quorum sensing dynamics during the growth of batch culture of luminescent bacteria at different concentrations of the nutrient substrate has been developed. …”
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  19. 22779

    INFLUENCE OF DOSED BASED PROBIOTICS (Lactobacillus) ON BLOOD AND MICROBIAL INDICES OF BROILERS by Egbunike Chiazor Maryjan, Ironkwe Monica Ogochukwu, Boma Victor Iriso

    Published 2024-12-01
    “…The results showed that haemoglobin was significantly higher in T2 (8.85±0.37) and lowest in T3 (8.22±0.47). White blood cell was highest in T3 (4.55±1.21) and significantly lowest (P<0.05) in T2 (1.00±0.89). …”
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  20. 22780

    Factors Requiring Adjustment in the Interpretation of Serum Carcinoembryonic Antigen: A Cross-Sectional Study of 18,131 Healthy Nonsmokers by Hae Yeon Kang, Eun Kyung Choe, Kyu Joo Park, Young Lee

    Published 2017-01-01
    “…In the training set, multivariate analysis revealed that the log-transformed CEA level had positive relationships with age (regression coefficient (r) = 0.005, P<0.001), white blood cell (WBC) count (r=0.007, P=0.016), hemoglobin (HB, r=0.016, P<0.001), aspartate aminotransferase (AST, r=0.002, P=0.005), creatinine (r=0.076, P=0.038), and glycosylated hemoglobin (HbA1c, r=0.052, P<0.001); body mass index (BMI, r=−0.007, P<0.001) showed a negative correlation. …”
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