Prediction of miRNA-disease association based on multisource inductive matrix completion.

MicroRNAs (miRNAs) are endogenous non-coding RNAs approximately 23 nucleotides in length, playing significant roles in various cellular processes. Numerous studies have shown that miRNAs are involved in the regulation of many human diseases. Accurate prediction of miRNA-disease associations is crucial for early diagnosis, treatment, and prognosis assessment of diseases.

Recent Progress on Flexible Self-Powered Tactile Sensing Platforms for Health Monitoring and Robotics.

Over the past decades, tactile sensing technology has made significant advances in the fields of health monitoring and robotics. Compared to conventional sensors, self-powered tactile sensors do not require an external power source to drive, which makes the entire system more flexible and lightweight. Therefore, they are excellent candidates for mimicking the tactile perception functions for wearable health monitoring and ideal electronic skin (e-skin) for intelligent robots.

Drug-target interaction prediction through fine-grained selection and bidirectional random walk methodology.

The study of drug-target interaction plays an important role in the process of drug development. The subject of DTI forecasting has advanced significantly in the last several years, yielding numerous significant research findings and methodologies. Heterogeneous data sources provide richer information and comprehensive perspectives for drug-target interaction prediction, so many existing methods rely on heterogeneous networks, and graph embedding technology becomes an important technology to extract information from heterogeneous networks.

Parathyroid hormone-related protein as a potential prostate cancer biomarker: Promoting prostate cancer progression through upregulation of c-Met expression.

Parathyroid hormone-related protein (PTHrP) plays a significant role in various tumor types, including prostate cancer. However, its specific role and underlying mechanisms in prostate cancer remain unclear. This study investigates the role of PTHrP and its interaction with the c-Met in prostate cancer.

First-principles investigation on multi-magnesium sulfide and magnesium sulfide clusters in magnesium-sulfide batteries.

Because of the abundance of magnesium and sulfur and their low cost, the development of magnesium sulfur batteries is very promising. In particular, the battery performance of nanoscale (MgS) clusters is much better than that of bulk sized MgS. However, the structures, stability, and properties of MgS and (MgS) clusters, which are very important to improve the performance of Mg-S batteries, are still unexplored.

Systematic review and meta-analysis of completely retroperitoneoscopic nephroureterectomy versus traditional retroperitoneoscopic nephroureterectomy in upper tract urothelial carcinoma.

Background: This systematic review and meta-analysis aim to evaluate the efficacy and safety of completely retroperitoneoscopic nephroureterectomy (CRNU) for the treatment of upper urinary tract urothelial carcinoma (UTUC).

Methods: A systematic review of PubMed and Web of Science databases was conducted to identify trials comparing the outcomes of CRNU and other surgical procedures. A total of 6 case-control studies were selected for analysis.

Gene differential co-expression analysis of male infertility patients based on statistical and machine learning methods.

Male infertility has always been one of the important factors affecting the infertility of couples of gestational age. The reasons that affect male infertility includes living habits, hereditary factors, etc. Identifying the genetic causes of male infertility can help us understand the biology of male infertility, as well as the diagnosis of genetic testing and the determination of clinical treatment options.

Dynamically NAND gate system on DNA origami template.

Molecular logic gates play an important role in many fields and DNA-based logic gates are the basis of DNA computers. A dynamically NAND gate system on the DNA origami template is established in this paper. Naturally, the system is stable in solution without any reaction.

The general form of 0-1 programming problem based on DNA computing.

DNA computing is a novel method of solving a class of intractable computational problems, in which the computing speeds up exponentially with the problem size. Up to now, many accomplishments have been made to improve its performance and increase its reliability. In this paper, we solved the general form of 0-1 programming problem with fluorescence labeling techniques based on surface chemistry by attempting to apply DNA computing to a programming problem.