Risk and resilience-based restoration optimization of transportation infrastructures under uncertainty.

Disruptive events cause decreased functionality of transportation infrastructures and enormous financial losses. An effective way to reduce the effects of negative consequences is to establish an optimal restoration plan, which is recognized as a method for resilience enhancement and risk reduction in the transportation system. This study takes the total travel time as the resilience measure to formulate a bilevel optimization model for a given scenario.

Screening the Biomarkers and Related Medicines for Gastric Adenocarcinoma.

Objective: To search for potential biomarkers and available medicines for gastric adenocarcinoma.

Study Design: Experimental study. Place and Duration of the Study: Scientific Research Section, Shenzhen Longhua District Central Hospital, Shenzhen, China, from January to April 2023.

Exploring the impact of circular economy practices on ecological footprint, inflation rate, and renewable energy consumption: evidence from G20 economies.

The circular economy (CE) has acquired significant interest for its potential to contribute to sustainable development (SD). The present study utilizes empirical methodology, specifically panel data analysis, to examine the distinct effects and outcomes of the circular economy and its associated factors within a unified framework. The focus is on the G20 countries from 2008 to 2021.

Machine learning-based estimation of riverine nutrient concentrations and associated uncertainties caused by sampling frequencies.

Accurate and sufficient water quality data is essential for watershed management and sustainability. Machine learning models have shown great potentials for estimating water quality with the development of online sensors. However, accurate estimation is challenging because of uncertainties related to models used and data input.

Temporal and spatial diagnostic model of vehicle gas pollutants.

In this paper, the gas pollutants in motor vehicle exhaust are taken as the research object. The diagnostic index system of motor vehicle gas pollutants on environmental pollution is constructed, based on the environmental pollution caused by motor vehicle exhaust. The emission intensity of various types of vehicles was studied.

Long noncoding RNA GAS6 antisense RNA1 silencing attenuates the tumorigenesis of acute myeloid leukemia cells through targeting microRNA-370-3p/Tetraspanin3 axis.

Purpose: Acute myeloid leukemia (AML) is a type of hematologic malignancy. This study was attempt to explore the effect of long noncoding RNA GAS6 antisense RNA1 (GAS6-AS1) on pediatric AML and the regulation mechanisms.

Methods: GAS6-AS1, microRNA-370-3p (miR-370-3p), and Tetraspanin3 (TSPAN3) expression in bone marrow (BM) tissues and cells was determined by qRT-PCR.

A panel of three plasma microRNAs for colorectal cancer diagnosis.

Background: Differential microRNA (miRNA) expression profiles in plasma or serum were identified, providing foundation for studying their potentially diagnostic role in colorectal cancer (CRC).

Methods: We performed S-poly(T) Plus PCR assay to select and validate differentially expressed plasma miRNAs from a sample set including 101 CRC patients, 20 patients with colorectal noncancerous polyps (NCP), and 134 healthy controls. And bioinformatics methods was used to integrated predicted or validated targets of the differentially dysregulated miRNAs and analyzed their overrepresented pathways.

Direct chemiluminescence detection of circulating microRNAs in serum samples using a single-strand specific nuclease-distinguishing nucleic acid hybrid system.

We developed a microplate-based enhanced chemiluminescence system for the direct detection of circulating miRNAs. The system exhibited a high target sensitivity and specificity, with a detection limit of 3.02 fM.

A Systematic Study of Dysregulated MicroRNA in Type 2 Diabetes Mellitus.

MicroRNAs (miRNAs) are small noncoding RNAs that modulate the cellular transcriptome at the post-transcriptional level. miRNA plays important roles in different disease manifestation, including type 2 diabetes mellitus (T2DM). Many studies have characterized the changes of miRNAs in T2DM, a complex systematic disease; however, few studies have integrated these findings and explored the functional effects of the dysregulated miRNAs identified.

Current State of Circulating MicroRNAs as Cancer Biomarkers.

Background: Numerous studies have demonstrated the existence of stable regulatory RNAs, microRNAs (miRNAs), in the circulation and have shown that the spectrum of these extracellular miRNAs is affected by various pathologic conditions including cancers.

Content: Circulating miRNAs have been the focus of numerous cancer biomarker discovery efforts over the past few years; however, a considerable number of these studies have yielded inconsistent and irreproducible findings. Here, we have summarized and compared the results of studies covering 8 different cancer types to address key questions, including the possibility of using circulating miRNA to detect cancers and what factors may affect miRNA signatures.

A systematic study on dysregulated microRNAs in cervical cancer development.

MicroRNAs (miRNAs) are short regulatory RNAs that modulate the transcriptome and proteome at the post-transcriptional level. To obtain a better understanding on the role of miRNAs in the progression of cervical cancer, meta-analysis and gene set enrichment analysis were used to analyze published cervical cancer miRNA studies. From 85 published reports, which include 3,922 cases and 2,099 noncancerous control tissue samples, 63 differentially expressed miRNAs (DEmiRNAs) were identified in different stages of cervical cancer development (CIN 1-3 and CC).

Association of miR-146a rs2910164 polymorphism with cardio-cerebrovascular diseases: A systematic review and meta-analysis.

The microRNA146a rs2910164 polymorphism has been associated with the development of cardio-cerebrovascular diseases (CCDs); however, the results were inconsistent among different studies. The present report was aimed to investigate the association between rs2910164 G/C polymorphism and the risk of CCDs. Based on the data extracted from 12 eligible studies with a total of 5433 CCD cases and 6278 controls, we performed a meta-analysis to assess the diseases risk of rs2910164 G/C polymorphism under allelic contrast (C vs.

Structure and antitumor and immunomodulatory activities of a water-soluble polysaccharide from Dimocarpus longan pulp.

A new water-soluble polysaccharide (longan polysaccharide 1 (LP1)) was extracted and successfully purified from Dimocarpus longan pulp via diethylaminoethyl (DEAE)-cellulose anion-exchange and Sephacryl S-300 HR gel chromatography. The chemical structure was determined using Infrared (IR), gas chromatography (GC) and nuclear magnetic resonance (NMR) analysis. The results indicated that the molecular weight of the sample was 1.

The valence overall wiener index for unsaturated hydrocarbons.

By replacing the distances between pairs of vertices with the relative distances, we define a novel valence overall Wiener index (VOW); the valence overall Wiener index extends the usefulness of the Wiener index and the overall Wiener index to unsaturated hydrocarbons.