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  1. 2821

    Adsorption of Acetic Acid, Cadmium ions, Lead ions and Iodine Using Activated Carbon from Waste Wood and Rice Husks by TO Goodhead, KK Dagde

    Published 2013-05-01
    “…Preliminary examination of the raw materials showed that rice husk and saw dust had a moisture content of 14.6% and 5.8% respectively. Increase in carbonization temperature decreases yield of the active carbon. …”
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  2. 2822
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  4. 2824

    Care Complexity Factors and Discharge Destination in an Emergency Department: A Retrospective Cohort Study by Andrea Urbina, Jordi Adamuz, Maria-Eulàlia Juvé-Udina, Judith Peñafiel-Muñoz, Virginia Munoa-Urruticoechea, Maribel González-Samartino, Pilar Delgado-Hito, Javier Jacob, Marta Romero-García

    Published 2025-01-01
    “…The presence of CCIFs was a risk factor of ED mortality (odds ratio (OR): 13.49 [95% confidence interval (CI): 4.99;36.46]), intensive care unit admission (OR:1.26 [95%CI:1.08;1.47]), and hospitalization (OR: 1.62 [95%CI:1.53;1.71]), whilst the presence of care complexity factors was a protective factor of discharge against medical advice (OR:0.64 [95%CI:0.55;0.74]). …”
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  5. 2825

    Effect of zinc added to a daily small-quantity lipid-based nutrient supplement on diarrhoea, malaria, fever and respiratory infections in young children in rural Burkina Faso: a cl... by Elizabeth Yakes Jimenez, Sonja Y Hess, Souheila Abbeddou, Kenneth H Brown, Jean-Bosco Ouedraogo, Jérôme W Somé, Zinéwendé P Ouédraogo, Rosemonde M Guissou, Stephen A Vosti

    Published 2015-09-01
    “…Participants were visited weekly in their homes for morbidity surveillance for 9 months, and those with uncomplicated diarrhoea and malaria received treatment from the study field workers in the community.Main outcomes Incidence and longitudinal prevalence of diarrhoea, malaria, fever, and lower and upper RTI by intervention group.Results The incidence of diarrhoea, malaria and fever was 1.10 (±1.03 SD), 0.61 (±0.66 SD) and 1.49 (±1.12 SD) episodes per 100 child-days at risk, respectively, and did not differ by intervention group (p=0.589, p=0.856 and p=0.830, respectively). …”
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  6. 2826

    Exploration of the quantitative-effectiveness association between acupuncture temporal parameters and chemotherapy-induced peripheral neuropathy in cancer patients: a dose-response... by Hao Tian, Qin Luo, Liuyang Huang, Liuyang Huang, Liuyang Huang, Guang Chen, Mingsheng Sun, Fanrong Liang

    Published 2025-02-01
    “…The meta-analysis demonstrated that the primary analysis achieved a significant reduction in pain scores, with a standardized mean difference of [SMD= -1.23, 95% CI = (-2.22, -0.24); P < 0.01; I² = 95%], improvement quality of life including FACT/GOG-Ntx [SMD = 0.95, 95% CI = (0.02, 1.88); P < 0.01; I² = 93%] and EORTC QLQ-C30 [SMD = 0.36, 95% CI = (0.03, 0.68); P = 0.14; I² = 46%]. …”
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  7. 2827

    T cell immune senescence is associated with frailty and sarcopenia in lung transplant candidates by Joanna M. Schaenman, MD, PhD, Harry Pickering, PhD, Elaine F. Reed, PhD, Maura Rossetti, PhD, Benjamin Seligman, MD, S. Samuel Weigt, MD, Michael Shino, MD, David Sayah, MD, PhD, John Belperio, MD, Ashley Hu, MD, Ashley Prosper, MD, Kathleen Ruchalski, MD, Abbas Ardehali, MD, Reshma Biniwale, MD

    Published 2025-02-01
    “…Hospital readmission was associated with lower frequency of naïve CD4 (p = 0.004) and CD8 T cells (p = 0.026). Senescent CD4 (KLRG1+/CD28−) and CD8 T cells were also associated with readmission (p = 0.014 and p = 0.013, respectively), and senescent CD4 T cells were predictive of total hospital time (p = 0.003). …”
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  8. 2828

    Nicotine dependence is associated with an increased risk of developing chronic, non-communicable inflammatory disease: a large-scale retrospective cohort study by Khalaf Kridin, Khalaf Kridin, Khalaf Kridin, Cristian Papara, Katja Bieber, David A. De Luca, Jan Philipp Klein, Marlene A. Ludwig, Philip Curman, Philip Curman, Philip Curman, Philip Curman, Artem Vorobyev, Astrid Dempfle, Ralf J. Ludwig

    Published 2025-02-01
    “…Overall, 16.8% of individuals with nicotine dependence developed CIDs, compared to 9.6% of individuals not exposed to nicotine dependence (hazard ratio 2.12, confidence interval 2.10–2.14, p < 0.0001). …”
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  9. 2829

    Framework for smartphone-based grape detection and vineyard management using UAV-trained AI by Sergio Vélez, Mar Ariza-Sentís, Mario Triviño, Antonio Carlos Cob-Parro, Miquel Mila, João Valente

    Published 2025-02-01
    “…The proposed approach achieved a precision of 0.92 and recall of 0.735, with an F1 score of 0.82 and an Average Precision (AP) of 0.802 under different operation conditions, indicating high accuracy and reliability in detecting grape bunches. …”
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  10. 2830

    Provincial distribution and predictors of desire for more children among married and cohabiting women in Sierra Leone by Augustus Osborne

    Published 2025-02-01
    “…Married and cohabiting women with 4–5 ideal number of children [aOR = 1.80; 95% CI 1.27, 2.55] and 6 + ideal number of children [aOR = 5.26; 95% CI 3.65, 7.58] had higher odds for desiring more children than those with 0–3 ideal number of children. …”
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  11. 2831

    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
    “…Combining ≥ 3 warning signs improved specificity (80.9%) while maintaining moderate sensitivity (78.6%), resulting in an AUC-ROC of 74.0%. …”
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  12. 2832

    Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction by Dae-Young Kim, Sang-Won Lee, Dong-Ho Lee, Sang-Chul Lee, Sang-Chul Lee, Ji-Hun Jang, Sung-Hee Shin, Dae-Hyeok Kim, Dae-Hyeok Kim, Wonik Choi, Wonik Choi, Yong-Soo Baek, Yong-Soo Baek, Yong-Soo Baek

    Published 2025-02-01
    “…The AI-ECG encompasses a novel model that combines an automatic labelling preprocessing method with a transformer architecture incorporating a triplet loss for HFmrEF analysis.ResultsThe receiver operating characteristic analyses revealed that the area under the curve of AI-ECG for identifying all types of HF was acceptable [0.873, 95% confidence interval (CI): 0.864–0.893], while that for identifying patients with HFmrEF was relatively lower (0.824, 95% CI: 0.794–0.863) than that for those with HF with reduced ejection fraction (EF) (0.875, 95% CI: 0.844–0.912) and those with normal EF (0.870, 95% CI: 0.842–0.894). …”
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  13. 2833

    Analytical Accuracy of a Continuous Glucose Monitor in Adult Diabetic KetoacidosisTake-Home Points by Nathan L. Haas, MD, Lynn Ang, MD, Nazanene H. Esfandiari, MD, Ahsan M. Khan, MBBS, James A. Cranford, PhD, Ashley Cohen, MD, Jordan Sell, MD, Mostafa Abdel-Hamid, MD, Kevin E. Romanchik, BSN, RN, Frederick K. Korley, MD, PhD

    Published 2025-03-01
    “…Mean absolute relative difference was 28.6% (95% CI, 26.5%-30.6%). The first incidence of glucose < 150 mg/dL (n = 14) was detected 28.9 minutes earlier by CGM than POCBG measurements. …”
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    Upadacitinib in active non-radiographic axial spondyloarthritis: 2-year data from the phase 3 SELECT-AXIS 2 study by Filip Van den Bosch, Atul Deodhar, Denis Poddubnyy, Walter P. Maksymowych, Désirée van der Heijde, Tae-Hwan Kim, Mitsumasa Kishimoto, Xenofon Baraliakos, Xianwei Bu, Ivan Lagunes-Galindo, In-Ho Song, Peter Wung, Koji Kato, Anna Shmagel

    Published 2025-02-01
    “…Upadacitinib was generally well tolerated, with exposure-adjusted event rates (EAERs) for TEAEs, serious adverse events (AEs), and AEs leading to study drug discontinuation of 207.5, 8.7, and 5.3 events/100 PY, respectively. EAERs of TEAEs of special interest were broadly consistent with those reported through week 52. …”
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