Xiaoyi Hang
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View article: Extreme Drought Events (1585–1590) and Spatiotemporal Patterns of Infectious Diseases Outbreaks in Ming Dynasty China
Extreme Drought Events (1585–1590) and Spatiotemporal Patterns of Infectious Diseases Outbreaks in Ming Dynasty China Open
Droughts, historically recognized as drivers of societal transformation, have been implicated in the emergence of infectious diseases. While existing research has concentrated on the impact of climate change on infectious diseases outbreak…
View article: Temporal and Spatial Effects of Extreme Drought Events on Human Epidemics over Ancient China in 1784–1787 CE
Temporal and Spatial Effects of Extreme Drought Events on Human Epidemics over Ancient China in 1784–1787 CE Open
Extreme drought events can impact human health, notably triggering epidemics that impose significant global health and economic burdens. Understanding these effects and developing response strategies is crucial. However, there is limited e…
View article: Maternal immune activation induces sex-dependent behavioral differences in a rat model of schizophrenia
Maternal immune activation induces sex-dependent behavioral differences in a rat model of schizophrenia Open
Background Maternal immune activation (MIA) is a mature means to construct a schizophrenia model. However, some preclinical studies have reported that a MIA-induced schizophrenia model seemed to have gender heterogeneity in behavioral phen…
View article: Investigating the Potential Shared Molecular Mechanisms between COVID-19 and Alzheimer’s Disease via Transcriptomic Analysis
Investigating the Potential Shared Molecular Mechanisms between COVID-19 and Alzheimer’s Disease via Transcriptomic Analysis Open
SARS-CoV-2 caused the COVID-19 pandemic. COVID-19 may elevate the risk of cognitive impairment and even cause dementia in infected individuals; it may accelerate cognitive decline in elderly patients with dementia, possibly in Alzheimer’s …
View article: Enhancing Pollen Prediction in Beijing, a Chinese Megacity: Leveraging Ensemble Learning Models for Greater Accuracy
Enhancing Pollen Prediction in Beijing, a Chinese Megacity: Leveraging Ensemble Learning Models for Greater Accuracy Open
In North China, pollen stands as a leading allergen responsible for allergic rhinitis, with climate change exacerbating allergenic pollen sensitization and posing significant health risks to residents. Despite its critical importance, poll…
View article: Midkine Prevents Calcification of Aortic Valve Interstitial Cells via Intercellular Crosstalk
Midkine Prevents Calcification of Aortic Valve Interstitial Cells via Intercellular Crosstalk Open
Calcified aortic valve disease (CAVD), the most common valvular heart disease, lacks pharmaceutical treatment options because its pathogenesis remains unclear. This disease with a complex macroenvironment characterizes notable cellular het…
View article: Efficacy of frequently-used acupuncture methods for specific parts and conventional pharmaceutical interventions in treating post-stroke depression patients: A network meta-analysis
Efficacy of frequently-used acupuncture methods for specific parts and conventional pharmaceutical interventions in treating post-stroke depression patients: A network meta-analysis Open
12 acupuncture methods may be effective and safe in improving the condition of patients with PSD. Higher quality randomized controlled trials need sufficient evidence because the overall quality of included trials can only be classified as…
View article: Comparative Efficacy and Acceptability of Anti-inflammatory Agents on Major Depressive Disorder: A Network Meta-Analysis
Comparative Efficacy and Acceptability of Anti-inflammatory Agents on Major Depressive Disorder: A Network Meta-Analysis Open
Background: With the growing importance of research about the association between neuroinflammation and major depressive disorder (MDD), anti-inflammatory agents have been used as a new antidepressant therapy in clinical practice. We condu…