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A Mechanical Construction to Enhance the Stability and Safety of Lifting and Thrusting Manipulation of Acupuncture.
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School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine;
The therapeutic effectiveness of acupuncture relies on both safety and stability, making these factors essential in acupuncture manipulation research. However, manual manipulation introduces unavoidable inaccuracies, which can impact the reliability of research findings. To address this challenge, a unique lifting and thrusting manipulation control cannula was designed in this study, offering flexible adjustment of movement amplitude.
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Health Evidence Synthesis, Recommendations and Impact (HESRI), School of Public Health, The University of Adelaide, Adelaide, South Australia, Australia.
Chronic kidney disease (CKD) poses a significant burden in Nepal. We reviewed the epidemiology of CKD in Nepal and proposed strategies to mitigate its burden. A nationwide survey of non-communicable diseases in 2019 reported CKD prevalence of 6.
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Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
Motivation: The accurate prediction of O-GlcNAcylation sites is crucial for understanding disease mechanisms and developing effective treatments. Previous machine learning models primarily relied on primary or secondary protein structural and related properties, which have limitations in capturing the spatial interactions of neighboring amino acids. This study introduces local environmental features as a novel approach that incorporates three-dimensional spatial information, significantly improving model performance by considering the spatial context around the target site.
View Article and Find Full Text PDFAdaptive Immunity Determines the Cancer Treatment Outcome of Oncolytic Virus and Anti-PD-1.
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Department of Mathematics, University of Manitoba, 340 UMSU University Centre, Winnipeg, MB, R3T 2N2, Canada.
The immune checkpoint inhibitor, anti-programmed death protein-1 (anti-PD-1), enhances adaptive immunity to kill tumor cells, and the oncolytic virus (OV) triggers innate immunity to clear the infected tumor cells. We create a mathematical model to investigate how the interaction between adaptive and innate immunities under OV and anti-PD-1 affects tumor reduction. For different immunity strength, we create the corresponding virtual baseline patients and cohort patients to decipher the major factors determining the treatment outcome.
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