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  1. 26061

    PSYCHOSOCIAL ILLNESS IN CHILDREN WITH THALASSEMIA: A CASE-CONTROL STUDY by Erum Afzal, Muhammad Aslam Sheikh, Sajjad Hussain Bhaba, Tanveer Ahmed, Imran Iqbal, Muhammad Khalid Iqbal

    Published 2023-04-01
    “…STUDY DESIGN: Case-control  MATERIAL AND METHOD:   In this study 50 children with Thalassemia and 50 normal children were enrolled as case & control according to inclusion and exclusion criteria. …”
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  2. 26062

    CD32B1, a versatile non-signaling antibody-binding scaffold for enhanced T cell adhesion to tumor stromal cognate antigens by Sara W. Feigelson, Tali Dadosh, Nehora Levi, Anita Sapoznikov, Hadas Weinstein-Marom, Hadas Weinstein-Marom, Dayana Blokon-Kogan, Dayana Blokon-Kogan, Yahel Avraham, Tamar Unger, Gideon Gross, Gideon Gross, Rony Dahan, Ronen Alon

    Published 2025-02-01
    “…We thus generated a non-signaling CD32B1 mutant lacking the ITIM motif (termed ITIM-less CD32B1, or ILCD32B1) and successfully expressed it in human T cells which normally do not express this FcR. The ILCD32B1 expressing lymphocytes bound multiple IgG1 mAbs whose Fc domain was engineered with a 5-residue substitution to reach a nM range of Fc-FcγCR dissociation constants. …”
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  3. 26063

    Wealth-based inequality in underweight among Scheduled Tribe women in India: a regional analysis by Anshika Singh, Aditya Singh, Mahashweta Chakrabarty, Shivani Singh, Pooja Tripathi

    Published 2025-01-01
    “…Wealth-based inequality in underweight was assessed using the Erreygers normalized concentration index (ECI), while predicted probabilities of underweight, adjusted for relevant variables, were calculated using binary logistic regression. …”
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  4. 26064

    Identification of Intracranial Germ Cell Tumors Based on Facial Photos: Exploratory Study on the Use of Deep Learning for Software Development by Yanong Li, Yixuan He, Yawei Liu, Bingchen Wang, Bo Li, Xiaoguang Qiu

    Published 2025-01-01
    “…MethodsA multicenter, phased approach was adopted for the development and validation of a deep learning model, GVisageNet, dedicated to the screening of midline brain tumors from normal controls (NCs) and iGCTs from other midline brain tumors. …”
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  5. 26065

    Influence of spine biomechanics and sagittal balance on the outcome of lumbar discectomy by José Poblete Carrizo, José Poblete Carrizo, Jesús Martínez, Julio González, Alejandra Mosteiro, Ramon Torné, Ramon Torné, Alberto Di Somma, Alberto Di Somma, José Ríos, Joaquim Enseñat, Joaquim Enseñat, Salvador Fuster, Salvador Fuster

    Published 2025-02-01
    “…Noteworthy, the radicular and lumbar pain and disability outcomes 12 and 24 months after surgery were significantly better in the group with normal sagittal balance (ODI 14.52 vs. 40.06 p < 0.001; radicular VAS 2.74 vs. 5.58 p < 0.001; lumbar VAS 3.61 vs. 4.06 p < 0.001).ConclusionLumbar degenerative disc disease represents a major burden for healthcare systems; thus, its management is determinant. …”
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  6. 26066

    The value of blood lactate and lactate clearance rate in evaluating the prognosis of athletes with heat illness of varying degrees after high-intensity exercise by Li Yu, Xuehui Dong, Huanhuan Li, Lili Mi

    Published 2025-01-01
    “…Core body temperature normalized in both groups, but the good prognosis group showed a more rapid decline, with temperatures of 37.4 ± 0.6 °C at 2 h and 36.8 ± 0.4 °C at 6 h in the good prognosis group, and 38.8 ± 0.8 °C at 2 h and 38.2 ± 0.9 °C at 6 h in the poor prognosis group. …”
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  7. 26067

    La supervivencia más allá de cien años y más by Roberto Ham Chande

    Published 2005-01-01
    “…La distribuciónde dx se ajusta a una curva normal en el lado derecho, cuya media se va incrementando en el tiempo mientras la desviación estándar disminuye, lo que corresponde a la forma esperada de acuerdo con experiencias y planteamientos teóricos. …”
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  8. 26068

    Levels of growth factors in the lungs affected by cancer with preventive effect of 1,3-diethylbenzimidazolium triiodide in the experiment by E. M. Frantsiyants, I. V. Kaplieva, L. K. Trepitaki

    Published 2020-12-01
    “…In two-thirds of rats, Stellanin prevented s45 development in the lungs due to inhibition of VEGF-A growth by more than 2.0 times and an increase in concentrations of sVEGF-R1 by 10.0 times and TGF-β by 6.0 times, together with normalization of sVEGF-R2 and sTGFβR2.Conclusions. Stellanin prevents the development of malignant process in the lungs by inhibiting neoangiogenesis (deficiency of VEGF-A and excess of sVEGF-R1) and suppressing the proliferation of malignant cells (TGF-β growth).…”
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  9. 26069

    Determinants of Low Birth Weight among Newborns Delivered at Public Hospitals in Sidama Zone, South Ethiopia: Unmatched Case-Control Study by Muse Bututa Bekela, Mulugeta Shegaze Shimbre, Teshale Fikadu Gebabo, Mengesha Boko Geta, Abayneh Tunje Tonga, Eshetu Andarge Zeleke, Negussie Boti Sidemo, Agegnehu Bante Getnet

    Published 2020-01-01
    “…Data were collected from 354 mother-neonate samples with 118 of them having newborns with birth weight<2500 g (cases) and 236 of them having birth weight≥2500 g (controls) using a pretested, interviewer-administered structured questionnaire and medical record review. The odds of being rural dweller women was 3.51 times higher among cases (low birth weight babies) than among controls (normal birth weight babies) as compared to being urban dweller women (AOR=3.51, 95% CI (1.91-6.45)). …”
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  10. 26070

    Effect of Forest Management Types on Soil Carbon Stocks in Montane Forests: A Case Study of Eastern Mau Forest in Kenya by George K. Tarus, Stanley W. Nadir

    Published 2020-01-01
    “…These values were low compared to most normal mineral soils which have a bulk density of between 1.0 g/cm3 and 1.5 g/cm3. …”
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  11. 26071

    Folic acid supplementation during preconception period in sub-Saharan African countries: A systematic review and meta-analysis. by Mekuriaw Nibret Aweke, Elsa Awoke Fentie, Muluken Chanie Agimas, Lemlem Daniel Baffa, Ever Siyoum Shewarega, Aysheshim Kassahun Belew, Esmael Ali Muhammad, Berhanu Mengistu

    Published 2025-01-01
    “…<h4>Introduction</h4>Neural tube defects (NTDs) are serious congenital anomalies of the central nervous system caused by disruptions in early embryonic development. …”
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  12. 26072

    Breeding results for Echinacea purpurea (L.) Moench in Moscow Province by I. N. Korotkikh, E. Yu. Babaeva, A. E. Burova

    Published 2019-02-01
    “…Breeding accessions demonstrated normal adaptability to regional conditions (duration of the growing season was 174–176 days, and winter hardiness reached 89–94%). …”
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  13. 26073

    Identification of Crucial lncRNAs for Luminal A Breast Cancer through RNA Sequencing by Xinjian Jia, Hai Lei, Xuemei Jiang, Ying Yi, Xue Luo, Junyan Li, Yu Chen, Sha Liu, Chengcheng Yang

    Published 2022-01-01
    “…The protein expression results of TUBB3, MCM2, MYOC, FN1, S100A7, and TFF1 were consistent with the mRNA expression result COL10A1, LEP, PLIN1, PGM5-AS1, and TRHDE-AD1 were capable of discriminating luminal A breast cancer and normal controls. Four lncRNA-nearby and coexpressed mRNA pairs of HOXC-AS3-HOXC10, AC020907.2-FXYD1, AC026461.1-MT1X, and AC132217.1-IGF2 were identified. …”
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  14. 26074

    Assessment of Eccentric-Concentric Exercises Applied in Different Resistances in Terms of Strength by Oktay Çakmakçı, Ali Tatlıcı

    Published 2022-04-01
    “…SPSS 24 package program was used in the statistical analysis of the data. For normally distributed data, paired sample t-test was used in paired comparisons, and a one-way ANOVA test was used for comparison between three or more groups. …”
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  15. 26075

    Machine learning for predicting severe dengue in Puerto Rico by Zachary J. Madewell, Dania M. Rodriguez, Maile B. Thayer, Vanessa Rivera-Amill, Gabriela Paz-Bailey, Laura E. Adams, Joshua M. Wong

    Published 2025-02-01
    “…Nine ML models, including Decision Trees, K-Nearest Neighbors, Naïve Bayes, Support Vector Machines, Artificial Neural Networks, AdaBoost, CatBoost, LightGBM, and XGBoost, were trained using fivefold cross-validation and evaluated with area under the receiver operating characteristic curve (AUC-ROC), sensitivity, and specificity. …”
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  16. 26076

    Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

    Published 2025-01-01
    “…Tumor regions of interest (ROI) were delineated, and radiomics features were extracted. Z-score normalization, Pearson correlation analysis, and the least absolute shrinkage selection operator (LASSO) were utilized for further screening ultrasound radiomics and clinical features. …”
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  17. 26077
  18. 26078

    CCR7 and CD48 as Predicted Targets in Acute Rejection Related to M1 Macrophage after Pediatric Kidney Transplantation by Jie Zhang, Jun Pei, Chengjun Yu, Jin Luo, Yifan Hong, Yi Hua, Guanghui Wei

    Published 2024-01-01
    “…Results. Compared to the normal group, 366 genes were upregulated, and 423 genes were downregulated in the AR group. …”
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  19. 26079

    Potential diagnostic tools for intensive care unit acquired weakness: A systematic review by Chen Xin, Yubiao Gai, Lili Wei, Yanqiu Wang, Yuhong Luo, Binru Han

    Published 2025-06-01
    “…Electrophysiological testing can help differentiate whether intensive care unit-acquired weakness is caused by neural or muscular alterations, thereby aiding in the classification of its subtypes. …”
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  20. 26080

    Patients admitted in an Intensive Care Unit with severe clinical manifestations of Influenza, october-december 2009 by Yenisey Quintero Mendez, Jorge Luis Ulloa Capestani, Rudis Monzón Rodríguez, Francisco García Valdés, Ramón E Álvarez Cepero, Jaime Geroy Gómez, Pablo Rodríguez Díaz, Alfredo Dario Espinosa Brito, Yanli Vázquez Villazón, Diley Moreno Ruiz, Octavio Rivero Rodríguez

    Published 2011-04-01
    “…In 25 cases the initial X-ray films were normal. In electrocardiograms, alterations were verified of ST-T in 12 sick persons (11,0%), sinusal tachicardia in 12 (11,0%), supraventricular arrhythmias (that included acute auricular fibrillation and supraventricular paroxysmal tachicardia) in 7 (6,4%) and ventricular arrhythmias in 2 (1,8%). …”
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