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Новости за 28.06.2024

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Differential methylation region detection via an array-adaptive normalized kernel-weighted model

Plos.org 
En

by Daniel Alhassan, Gayla R. Olbricht, Akim Adekpedjou

A differentially methylated region (DMR) is a genomic region that has significantly different methylation patterns between biological conditions. Identifying DMRs between different biological conditions is critical for developing disease biomarkers. Although methods for detecting DMRs in microarray data have been introduced, developing methods with high precision, recall, and accuracy in determining the true length of DMRs remains a challenge. Читать дальше...

Improved calculation method for dry modal analysis of four-stage centrifugal-pump rotor system based on concentrated-mass method

Plos.org 
En

by Jingkuan Li, Yanxia Wei, Hongbin Gao, Xiaomei Song, Zhuofan Jia

To improve the accuracy of modal analysis for a four-stage centrifugal-pump rotor system with a balancing disc based on the concentrated-mass analytical method, a simplified concentrated mass mathematical model and an ANSYS simulation model are established. The results from these two models are compared to determine factors that cause significant differences in the mode shapes. Subsequently, an optimized mathematical model... Читать дальше...

Sensitivity analysis of heat and mass transfer at working face in high-temperature mine

Plos.org 
En

by Hang Zhou, Xiangdong Zhang, Shuguang Zhang

Thermal damage from heat sources severely affects the safety of deep mine production. Heat and mass transfer between heat sources and airflow leads to the increase of the airflow temperature (AFT), moisture content of airflow (AFMC) and relative humidity of airflow (AFRH). This study aims to quantify uncertainty contributions of the working face parameters on AFT, AFMC and AFRH and find their main contributors. The flow, geometric and physical parameters are chosen as uncertainty sources. Читать дальше...

The analysis of the internet of things database query and optimization using deep learning network model

Plos.org 
En

by Xiaowen Ma

To explore the application effect of the deep learning (DL) network model in the Internet of Things (IoT) database query and optimization. This study first analyzes the architecture of IoT database queries, then explores the DL network model, and finally optimizes the DL network model through optimization strategies. The advantages of the optimized model in this study are verified through experiments. Experimental results show that the optimized model has higher efficiency than... Читать дальше...

Experience of living with chronic pain in conjunction with surgery for ulnar nerve entrapment at the elbow—A qualitative study

Plos.org 
En

by Alice Giöstad, Ingela K. Carlsson, Lars B. Dahlin, Erika Nyman

Purpose

Pain in conjunction with surgery for ulnar nerve entrapment at the elbow is seldom highlighted in the literature. This study aimed to explore patients’ experiences of living with chronic pain (≥3 months duration) in conjunction with surgery for ulnar nerve entrapment at the elbow, the consequences and the coping strategies applied.

Material and methods

In-depth interviews were conducted with 10 participants aged 18–60 years. Читать дальше...

Characterization of small-scale net fisheries off the coast of Guyana

Plos.org 
En

by Rovindra Lakenarine, Netra Chhetri, Neha Chhetri, Jesse Senko

Fish stocks have declined rapidly over the past half-century due to the increased demand for seafood and unsustainable fishing practices. The incidental capture of non-target species (bycatch) is a pervasive issue in fisheries management and has led to population declines in non-target species worldwide. The fisheries sector in Guyana currently supports the livelihoods of over 10,000 Guyanese and contributes approximately 2% to the country’s GDP. Читать дальше...

The effects of major dietary patterns on patients with type 2 diabetes: Protocol for a systematic review and network meta-analysis

Plos.org 
En

by Hongyu Chen, Yuanyuan Wang, Song Ge, Wanyang Li, Jing Li, Wei Chen

Background

Type 2 diabetes mellitus (T2DM) represents a significant worldwide health issue, experiencing an increasing incidence rate. Effective dietary strategies are vital for T2DM management, but the optimal dietary patterns remain debated due to inconsistent research outcomes and single-outcome reporting. Network Meta-Analysis (NMA) provides a powerful approach for integrating data from randomized controlled trials (RCTs)... Читать дальше...