Identification of circulating risk biomarkers for cognitive decline in a large community-based population in Chongqing China.

Introduction: This study aims to investigate the relationship between blood-based pathologies and established risk factors for cognitive decline in the community-based population of Chongqing, a region with significant aging.

Methods: A total of 26,554 residents aged 50 years and older were recruited. Multinomial logistic regression models were applied to assess the risk factors of cognition levels.

COL5A1 overexpression correlates with poor prognosis in human cervical cancer.

Background: Cervical cancer is the most prevalent malignant tumor in women. This study aims to detect collagen type V α1 chain (COL5A1) expression and its clinical relevance in the prognosis of patients with cervical cancer.

Methods: Cervical cancer tissues and their paired adjacent normal tissues were prepared for tissue microarray.

HPV16-miRNAs exert oncogenic effects through enhancers in human cervical cancer.

Background: Cervical cancer is a human papillomavirus (HPV)-related disease. HPV type 16 (HPV16), which is the predominant cause of cervical cancer, can encode miRNAs (HPV16-miRNAs). However, the role of HPV16-miRNAs in the pathogenesis of cervical cancer remains unclear.

The effectiveness and safety of centralized early rehabilitation care for critically ill children with severe acquired brain injury: A retrospective cohort and implementation study.

Background: Most children with neurocritical illness are at risk of physical, neurocognitive, and psychosocial sequelae and need centralized early rehabilitation care.

Objective: To identify the effectiveness and safety of centralized early rehabilitation care for children with severe acquired brain injury.

Methods: This is a mixed methods study-an implementation study and single-center retrospective cohort study with historical control.

Biomarker cystatin B expression correlates with pathogenesis in cervical cancer.

Objective: Cervical cancer (CC) is one of the most common gynecologic malignancies worldwide. Although rapid improvements have been made regarding its prevention and treatment, little is known about disease pathogenesis and the clinical relevance of reliable biomarkers. The present study evaluated the expression of cystatin B (CSTB) as a potential biomarker of CC.

GaN JBS Diode Device Performance Prediction Method Based on Neural Network.

GaN JBS diodes exhibit excellent performance in power electronics. However, device performance is affected by multiple parameters of the P+ region, and the traditional TCAD simulation method is complex and time-consuming. In this study, we used a neural network machine learning method to predict the performance of a GaN JBS diode.

Single event effects prediction of MOSFET device using deep learning.

Single event effect (SEE) is an important problem in the reliability research of integrated circuits. The study of SEE of traditional MOSFET devices is mainly based on simulation software, which is characterized by slow simulation speed, large computation and time-consuming. In this paper, a SEE research method based on deep learning is proposed.

Implementation of early rehabilitation for critically ill children in China: A survey and narrative review of the literature.

Introduction: The focus of this survey was to understand the current status of implementation of early rehabilitation for critically ill children in China. We also reviewed the available literature on this topic for further insights to inform its future development.

Materials And Methods: We used a cross-sectional study design to survey tertiary hospitals nationwide.

The accelerated design of the nanoantenna arrays by deep learning.

Nanoantenna fusion photonics and nanotechnology can manipulate light through the ultra-thin structure composed of sub-wavelength antennas, and meet the important requirements for miniaturized optical components, completely changing the field of optics. However, the device design process is still time-consuming and consumes computing resources. Besides, the professional knowledge requirements of engineers are also high.

Prediction of electrical properties of FDSOI devices based on deep learning.

Fully depleted Silicon on insulator technology (FDSOI) is proposed to solve the various non-ideal effects when the process size of integrated circuits is reduced to 45 nm. The research of traditional FDSOI devices is mostly based on simulation software, which requires a lot of calculation and takes a long time. In this paper, a deep learning (DL) based electrical characteristic prediction method for FDSOI devices is proposed.

Removal of Metal Ions in Phosphoric Acid by Electro-Electrodialysis with Cross-Linked Anion-Exchange Membranes.

There are numerous metallic impurities in wet phosphoric acid, which causes striking negative effects on industrial phosphoric acid production. In this study, the purification behavior of metallic impurities (Fe, Mg, Ca) from a wet phosphoric acid solution employing the electro-electrodialysis (EED) technology was investigated. The cross-linked polysulfone anion-exchange membranes (AEMs) for EED were prepared using ,,','-tetramethyl-1,6-hexanediamine (TMHDA) to achieve simultaneous cross-linking and quaternization without any cross-linkers or catalysts.

Cross-sectional study of mental health related knowledge and attitudes among care assistant workers in Guangzhou, China.

Background: Care assistant workers (CAWs) are a part of a new pattern of mental health care providers in China and play a significant role in bridging the human resource shortage. CAWs in China mainly include community cadres, community mental health staff, and community policemen. The mental health related knowledge and attitudes of CAWs could influence their mental health care delivery.

Matrine promotes hepatic oval cells differentiation into hepatocytes and alleviates liver injury by suppression of Notch signalling pathway.

Aims: Recent studies have shown that the hyperactive Notch pathway is involved in cirrhosis and hepatocellular carcinoma (HCC) development by regulating differentiation of hepatic oval cells (HOCs) into cancer cells. The aim of this study was to investigate whether matrine can alleviate liver injury and promote HOC differentiation into hepatocytes by suppression of Notch pathway.

Main Methods: We evaluated the expression of Notch-1, Jagged-1, and Hes-1 in HCC tissue by immunohistochemistry.

F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography Metabolic Parameters Before and After Neoadjuvant Chemotherapy Can Predict the Postoperative Prognosis of Locally Advanced Gastric Cancer.

To explore the value of F-fluorodeoxyglucose positron emission tomography-computed tomography (F-FDG PET/CT) metabolic parameters before and after neoadjuvant chemotherapy in predicting histopathological response and prognosis of locally advanced gastric cancer. A total of 56 patients with locally advanced gastric cancer underwent F-FDG PET/CT before and after neoadjuvant chemotherapy. The maximum standardized uptake value (SUV), mean standardized uptake value (SUV), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of the lesions were measured before and after neoadjuvant chemotherapy.

Circ_0000144 functions as a miR-623 sponge to enhance gastric cancer progression via up-regulating GPRC5A.

Background: Gastric cancer (GC) remains one of the most common malignancies worldwide. Increasing evidence has demonstrated that circRNAs serve as critical roles in human cancer, including GC. In the present study, we focused on the detailed function and mechanism of circ_0000144 on GC progression.

Effects of tumor distance from anal verge on survival outcomes for rectal NENs and lymphatic metastasis risk score for colorectal NENs.

Objective: To explore whether the distance of rectal neuroendocrine neoplasms from the anal margin has an impact on the prognosis of patients and evaluate lymphatic metastases risk score for colorectal neuroendocrine neoplasms (NENs).

Methods: Clinical pathological and follow-up data of 71 patients identified as colorectal neuroendocrine neoplasms by pathology from July 2011 to July 2019 were carefully collected.

Results: Among 71 patients with colorectal NENs, most of the tumors were rectal NENs (62 cases).