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BackgroundThe diagnosis of Alzheimer's disease （AD） still faces great challenges， and the advantage of electroencephalogram （EEG） diagnosis lies in its portable and non-invasive nature， so the EEG diagnosis of AD has occupied an important place in clinical research.ObjectiveTo evaluate the value of resting state EEG for AD diagnosis， and to provide references for early recognition of AD in clinical practice.MethodsClinical data of AD patients （n=59） in an Inpatient Geriatric Psychiatry Unit of Shenzhen Kangning Hospital from May 2019 to May 2022 were retrospectively analyzed， and healthy elderly individuals attending outpatient clinics at the hospital during the same period were enrolled as control group （n=54）. Eight-channel resting state EEG data were acquired， and the absolute power values in the α， β， θ and δ frequency bands and the α/θ ratio were obtained and calculated using Fast Fourier Transform （FFT）. Cognitive function assessments of patients were done by Mini-Mental State Examination （MMSE） and Montreal Cognitive Assessment （MoCA）. Spearman correlation analysis was used to examine the correlation between EEG findings and MMSE and MoCA scores of AD patienrs. Logistic regression prediction model for AD was built using currently available EEG and clinical variables， and the model performance was assessed using the receiver operating characteristic （ROC） curve and the area under curve （AUC）.ResultsThe θ-band absolute powers in the right mid-frontal （F4） and mid-lateral （F7， F8） regions were higher in AD patients than those in healthy controls， with statistically significant difference （t=-2.844， -2.825， -3.014， P

Coastal‐wetlands play a crucial role as carbon (C) reservoirs on Earth due to their C pool composition and functional sink, making them significant for mitigating global climate change. However, due to the development and utilization of wetland resources, many wetlands have been transformed into other land‐use types. The current study focuses on the alterations in soil organic‐C (SOC) in coastal‐wetlands following reclamation into aquaculture ponds. We conducted sampling at 11 different coastal‐wetlands along the tropical to temperate regions of the China coast. Each site included two community types, one with solely native species (Suaeda salsa, Phragmites australis and Mangroves) and the other with an adjacent reclaimed aquaculture pond. Across these 11 locations we compared SOC stock, active OC fractions, and soil physicochemical properties between coastal wetlands and aquaculture ponds. We observed that different soil uses, sampling sites, and their interaction had significant effects on SOC and its stock (p <.05). Reclamation significantly declined SOC concentration at depths of 0–15 cm and 15–30 cm by 35.5% and 30.3%, respectively, and also decreased SOC stock at 0–15 cm and 15–30 cm depths by 29.1% and 37.9%, respectively. Similar trends were evident for SOC stock, labile organic‐C, dissolved organic‐C and microbial biomass organic‐C concentrations (p <.05), indicating soil C‐destabilization and losses from soil following conversion. Soils in aquaculture ponds exhibited higher bulk density (BD; 11.3%) and lower levels of salinity (61.0%), soil water content (SWC; 11.7%), total nitrogen (TN) concentration (23.8%) and available‐nitrogen concentration (37.7%; p <.05) than coastal‐wetlands. Redundancy‐analysis revealed that pH, BD and TN concentration were the key variables most linked with temporal variations in SOC fractions and stock between two land use types. This study provides a theoretical basis for the rational utilization and management of wetland resources, the achievement of an environment‐friendly society, and the preservation of multiple service functions within wetland ecosystems. [ABSTRACT FROM AUTHOR]