Effects of combined exposure to PM, O, and NO on health risks of different disease populations in the Beijing-Tianjin-Hebei region.

Air pollution adversely affects people's health. Under the current background of compound air pollution in China, the emission reduction potential of air pollution control has significantly decreased, and there are few studies on multi-pollutant emission reduction and synergistic effects. PM, O, and NO have caused the enormous disease burden and health risks.

Explainable federated learning scheme for secure healthcare data sharing.

Artificial intelligence has immense potential for applications in smart healthcare. Nowadays, a large amount of medical data collected by wearable or implantable devices has been accumulated in Body Area Networks. Unlocking the value of this data can better explore the applications of artificial intelligence in the smart healthcare field.

PPM1H is down-regulated by ATF6 and dephosphorylates p-RPS6KB1 to inhibit progression of hepatocellular carcinoma.

We have shown previously that polymorphism of activating transcription factor 6 (ATF6) is associated with susceptibility to hepatocellular carcinoma (HCC). Therefore, genes down-regulated by ATF6 might play a tumor-suppressing role. In the present study, we identified that expression of protein phosphatase magnesium- or manganous-dependent 1H (PPM1H) mRNA and protein can be inhibited by ATF6 in hepatoma cells and mice with liver knockdown.

A repository for the publication and sharing of heterogeneous materials data.

National Materials Data Management and Service platform (NMDMS) is a materials data repository for the publication and sharing of heterogeneous materials scientific data and follows the FAIR principles: Findable, Accessible, Interoperable, and Reusable. To ensure data are 'Interoperable, NMDMS uses a user-friendly semi-structured scientific data model, named dynamic container', to define, exchange, and store heterogeneous scientific data. Then, a personalized yet standardized data submission subsystem, a rigorous project data review and publication subsystem, and a multi-granularity data query and retrieval subsystem collaboratively make data 'Reusable', 'Findable', and 'Accessible'.

Endotypes of chronic rhinosinusitis based on inflammatory and remodeling factors.

Background: Previous studies on the endotyping of chronic rhinosinusitis (CRS) that were based on inflammatory factors have broadened our understanding of the disease. However, the endotype of CRS combined with inflammatory and remodeling features has not yet been clearly elucidated.

Objective: We sought to identify the endotypes of patients with CRS according to inflammatory and remodeling factors.

New Diagnostic Model for the Differentiation of Diabetic Nephropathy From Non-Diabetic Nephropathy in Chinese Patients.

Background: The disease pathology for diabetes mellitus patients with chronic kidney disease (CKD) may be diabetic nephropathy (DN), non-diabetic renal disease (NDRD), or DN combined with NDRD. Considering that the prognosis and treatment of DN and NDRD differ, their differential diagnosis is of significance. Renal pathological biopsy is the gold standard for diagnosing DN and NDRD.

Cytosolic and Nucleosolic Calcium-Regulated Molecular Networks in Response to Long-Term Treatment with Abscisic Acid and Methyl Jasmonate in .

Calcium acts as a universal secondary messenger that transfers developmental cues and stress signals for gene expression and adaptive growth. A prior study showed that abiotic stresses induce mutually independent cytosolic Ca ([Ca]) and nucleosolic Ca ([Ca]) increases in root cells. However, gene expression networks deciphering [Ca] and [Ca] signalling pathways remain elusive.

Shape transformations of red blood cells in the capillary and their possible connections to oxygen transportation.

In this work, a series of numerical simulations have been performed to obtain the steady shapes of red blood cells under a shear force field in the capillary. Two possible classes of steady shapes, the axisymmetric parachute and the non-axisymmetric parachute, are found. If we assume that oxygen diffusion across the red cell membrane is mediated by membrane curvature, it is found that the non-axisymmetric parachute will be more favorable due to its special shape which enables it to have a larger portion of membrane patch capable of releasing oxygen to tissues.

Target-Based In Silico Screening for Phytoactive Compounds Targeting SARS-CoV-2.

Coronavirus disease 2019 (COVID-19), resulting from infection by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), can cause severe and fatal pneumonia along with other life-threatening complications. The COVID-19 pandemic has taken a heavy toll on the healthcare system globally and has hit the economy hard in all affected countries. As a result, there is an unmet medical need for both the prevention and treatment of COVID-19 infection.

Potential Prospective Biomarkers for Non-small Cell Lung Cancer: Mini-Chromosome Maintenance Proteins.

Minichromosome maintenance proteins (MCMs) are considered to be essential factors coupling DNA replication to both cell cycle progression and checkpoint regulation. Previous studies have shown that dysregulation of MCMs are implicated in tumorigenesis of lung cancer. However, the distinct expression/mutation patterns and prognostic values of MCMs in lung cancer have yet to be systematically elucidated.

Risk assessment of type 2 diabetes in northern China based on the logistic regression model.

Background: Type 2 diabetes mellitus (T2DM) is a complex disease with high incidence and serious harm associated with polygenic determination. This study aimed to develop a predictive model so as to assess the risk of T2DM and apply it to health care and disease prevention in northern China.

Objective: Based on genotyping results, a risk warning model for type 2 diabetes was established.

Two-Dimensional F-TiCT@Ag Composite for an Extraordinary Long Cycle Lifetime with High Specific Capacity in an Aluminum Battery.

According to the current research, the graphene-like two-dimensional materials present excellent electrochemical performance in aluminum batteries. However, there is less research on emerging two-dimensional materials in aluminum batteries, and the energy storage mechanism is ambiguous. Herein, we modified the two-dimensional few layered TiCT (F-TiCT) with Ag and prepared a composite material F-TiCT@Ag.

[Expert consensus on microbiome sequencing and analysis].

In the past ten years, the research and application of microbiome has continued to increase. The microbiome has gradually become the research focus in the fields of life science, environmental science, and medicine. Meanwhile, many countries and organizations around the world are launching their own microbiome projects and conducting a multi-faceted layout, striving to gain a strategic position in this promising field.

An Efficient Resource Allocation Strategy for Edge-Computing Based Environmental Monitoring System.

The cloud computing and microsensor technology has greatly changed environmental monitoring, but it is difficult for cloud-computing based monitoring system to meet the computation demand of smaller monitoring granularity and increasing monitoring applications. As a novel computing paradigm, edge computing deals with this problem by deploying resource on edge network. However, the particularity of environmental monitoring applications is ignored by most previous studies.

Energy Efficiency in RF Energy Harvesting-Powered Distributed Antenna Systems for the Internet of Things.

This paper studies a distributed antenna system (DAS) network with radio frequency (RF) energy harvesting (EH) technology where the distributed antenna ports (DAPs) transmit energy and information to multiple users simultaneously. The time division multiple access (TDMA) protocol is adopted, so for each time slot is allowed to receive information, while the rest of the users harvest energy. In order to maximize the system energy efficiency (EE), subject to the EH requirements and data rate requirements of the users, the transmission time and power assignment are jointly optimized.

Estimation of malignancy of pulmonary nodules at CT scans: Effect of computer-aided diagnosis on diagnostic performance of radiologists.

Objectives: To develop a computer-aided diagnosis (CAD) system for distinguishing malignant from benign pulmonary nodules on computed tomography (CT) scans, and to assess whether the diagnostic performance of radiologists with different experiences can be improved with the assistant of CAD.

Materials And Methods: A total of 857 malignant nodules from 601 patients and 426 benign nodules from 278 patients were retrospectively collected from four hospitals. In this study, we exploited convolutional neural network in the framework of deep learning to classify whether a nodule was benign or malignant.

Functional Characterization of the Ammonium Transporter AtAMT1;3 With the Emphasis on Structural Determinants of Substrate Binding and Permeation Properties.

AtAMT1;3 is a major contributor to high-affinity ammonium uptake in roots. Using a stable electrophysiological recording strategy, we demonstrate in oocytes that AtAMT1;3 functions as a typical high-affinity NH uniporter independent of protons and Ca. The findings that AtAMT1;3 transports methylammonium (MeA, a chemical analog of NH ) with extremely low affinity ( in the range of 2.

In-silico analysis of ligand-receptor binding patterns of α-MMC, TCS and MAP30 protein to LRP1 receptor.

Alpha-momorcharin (α-MMC), trichosanthin (TCS), and momordica anti-HIV protein of 30 kD (MAP30) are potential anti-tumor drug candidates but have cytotoxicity to normal cells. The binding of these proteins to LRP1 receptor and the subsequent endocytosis are essential to their cytotoxicity, but this binding process remains largely unknown. This study, in-silico analysis of the binding patterns, was conducted via the protein-protein docking software, ZDOCK 3.

Spinal Cord Lateral Hemisection and Asymmetric Behavioral Assessments in Adult Rats.

Incomplete spinal cord injury (SCI) often leads to impairments of sensorimotor functions and is clinically the most frequent type of SCI. Human Brown-Séquard syndrome is a common type of incomplete SCI caused by a lesion to one half of the spinal cord which results in paralysis and loss of proprioception on the same (or ipsilesional) side as the injury, and loss of pain and temperature sensation on the opposite (or contralesional) side. Adequate methodologies for producing a spinal cord lateral hemisection (HX) and assessing neurological impairments are essential to establish a reliable animal model of Brown-Séquard syndrome.

Two-dimensional composite of D-TiCT@S@TiO (MXene) as the cathode material for aluminum-ion batteries.

MXenes, the two-dimensional layered materials, are widely used in electrochemical storage devices and exhibit excellent electrochemical performances. Aluminum-ion batteries are favored by researchers around the world due to our urgent need for emerging clean energy; the study of cathode materials is most important in aluminum-ion battery research. Herein, we have prepared a two-dimensional layered composite of D-TiCT@S@TiO by a simple method, which shows excellent electrochemical performance in aluminum-ion batteries.

Identification of viral SIM-SUMO2-interaction inhibitors for treating primary effusion lymphoma.

Primary effusion lymphoma (PEL) is an aggressive B-cell malignancy without effective treatment, and caused by the infection of Kaposi's sarcoma-associated herpesvirus (KSHV), predominantly in its latent form. Previously we showed that the SUMO2-interacting motif within the viral latency-associated nuclear antigen (LANASIM) is essential for establishment and maintenance of KSHV latency. Here, we developed a luciferase based live-cell reporter system to screen inhibitors selectively targeting the interaction between LANASIM and SUMO2.