Publications by authors named "J C Guo"

An increasing number of patients utilizing in vitro fertilization (IVF) and assisted reproductive technology (ART) are characterized as impaired or poor ovarian responders (PORs). Owing to its unclear molecular etiology, the management of patients with age-related ovarian characteristics remains a controversial and complex clinical concern. Therefore, it is important to identify and understand the etiological causes behind POR to develop more effective and efficient management strategies for these patients.

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The human visual nervous system excels at recognizing and processing external stimuli, essential for various physiological functions. Biomimetic visual systems leverage biological synapse properties to improve memory encoding and perception. Optoelectronic devices mimicking these synapses can enhance wearable electronics, with layered heterojunction materials being ideal materials for optoelectronic synapses due to their tunable properties and biocompatibility.

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Background: () infection is a prevalent disease encountered in military internal medicine and recognized as the main cause of dyspepsia, gastritis, and peptic ulcer, which are common diseases in military personnel. Current guidelines in China state all patients with evidence of active infection with are offered treatment. However, the prevalence of infection and its regional distribution in the military population remain unclear, which hinders effective prevention and treatment strategies.

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Introduction: Given the world's largest and increasingly serious aging population, China has elevated "positively responding to aging of population" to a national strategy. Exploring the current state and evolutionary trends of active aging over the past decade is a fundamental prerequisite and the primary task for implementing this strategy.

Methods: Based on data from the China Health and Retirement Longitudinal Study (2011-2018), this study primarily employs methods such as the entropy method, Gini coefficient, Moran index, and Kernel density estimation to analyze the development level, regional differences, and dynamic evolution of active aging in China.

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Introduction: The primary aim of this study is to investigate and predict the prevalence and determinants of tuberculosis disease burden in China. Leveraging high-quality data sources and employing a methodologically rigorous approach, the study endeavors to enhance our understanding of tuberculosis control efforts across different regions of China. First, through nationwide spatio-temporal cluster analysis, we summarized the status of tuberculosis burden in various regions of China and explore the differences, thereby providing a basis for formulating more targeted tuberculosis prevention and control policies in different regions; Subsequently, using a time series-based forecasting model, we conducted the first-ever national tuberculosis burden trend forecast to offer scientific guidance for timely adjustments in planning and resource allocation.

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