Identification of amino acid metabolism‑related genes as diagnostic and prognostic biomarkers in sepsis through machine learning.

Previous research has highlighted the critical role of amino acid metabolism (AAM) in the pathophysiology of sepsis. The present study aimed to explore the potential diagnostic and prognostic value of AAM-related genes (AAMGs) in sepsis, as well as their underlying molecular mechanisms. Gene expression profiles from the Gene Expression Omnibus (GSE65682, GSE185263 and GSE154918 datasets) were analyzed.

Digital-twin driven alignment control method for marine shafting with air spring vibration isolation system.

Shafting alignment is crucial for marine propulsion systems and may affect the safety and stability of ship operations. Air spring vibration isolation systems (ASVISs) for marine shafting can help control the shafting alignment state by actively adjusting air spring pressures while effectively reducing the mechanical noise. However, how to accurately control the alignment state of marine shafting with air spring vibration isolation system remains a challenge.

Epidemiological features of uterine fibroid-associated imaging changes in Chinese women of reproductive age: a retrospective study.

Objectives: To investigate uterine fibroid (UF)-associated imaging changes, and their prevalence, incidence and potential risk factors in the Chinese population.

Design: This was a retrospective observational study using health examination data.

Setting: A physical examination centre in Nanchong, China, between October 2017 and December 2020.

Aluminum Cluster Molecular Ring-Based Heterometallic Framework Materials for Iodine Capture.

With the development of the nuclear industry, the risk of elements that are difficult to degrade in nuclear fission has been gradually increasing. Therefore, the efficient capture of iodine (I) has attracted considerable attention in recent years. The aluminum cluster-based metal framework materials show great advantage in iodine adsorption due to the designable pore sizes, excellent physicochemical stability, and cheap raw materials.

Utilizing the Fungal Bicistronic System for Multi-Gene Expression to Generate Insect-Resistant and Herbicide-Tolerant Maize.

Developing simple and efficient multi-gene expression systems is crucial for multi-trait improvement or bioproduction in transgenic plants. In previous research, an -based bicistronic system from the nonpathogenic fungus efficiently expressed multiple enzyme proteins in yeast and maize, and the heterologous enzymes successfully performed their catalytic activity to reconstruct the biosynthetic pathway in the host organism. Unlike enzyme proteins, some heterologous functional proteins (such as insecticidal proteins) are dose-dependent and they need to express sufficient levels to perform their biological functions.

Relationship Between Problematic Smartphone Use and Graduate Students' Research Self-Efficacy: A Moderated Mediation Model.

As Generation Z youth grow up with the Internet, problematic smartphone use is growing more prevalent. This study administered questionnaires containing measures such as the Mobile Phone Addiction Index, the Research Self-Efficacy Scale, the Depression Anxiety Stress Scale, and the Stress Mindset Measure. The survey targeted 2278 graduate students and explored the mechanism through which problematic smartphone use affects research self-efficacy (RSE).

Network pharmacology, molecular docking, and experimental verification reveal the mechanism of Yi-Shen-Hua-Shi granules treating acute kidney injury.

Ethnopharmacological Relevance: Yi-Shen-Hua-Shi granules (YSHSG) have been shown to improve kidney function in various renal disorders, which are characterized by the sudden decline and impairment of kidney function.

Aim Of The Study: To investigate the precise mechanisms and targets of YSHSG in combating sepsis-induced AKI.

Materials And Methods: Through network pharmacology, the active ingredients, main target proteins, and related signaling pathways of YSHSG in the treatment of sepsis-induced AKI were predicted.

A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma.

Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.

Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).

Correction: Will R&D make investors more tolerant? Analysis based on the performance forecast of Chinese listed companies.

[This corrects the article DOI: 10.1371/journal.pone.

A New Type of Bioprosthetic Heart Valve: Synergistic Modification with Anticoagulant Polysaccharides and Anti-inflammatory Drugs.

Valvular heart disease (VHD) poses a significant threat to human health, and the transcatheter heart valve replacement (THVR) is the best treatment for severe VHD. Currently, the glutaraldehyde cross-linked commercial bioprosthetic heart valves (BHVs) remain the first choice for THVR. However, the cross-linking by glutaraldehyde exhibits several drawbacks, including calcification, inflammatory reactions, and difficult endothelialization, which limits the longevity and applicability of BHVs.

Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank.

Bone marrow adipose tissue is a distinct adipose subtype comprising more than 10% of fat mass in healthy humans. However, the functions and pathophysiological correlates of this tissue are unclear, and its genetic determinants remain unknown. Here, we use deep learning to measure bone marrow adiposity in the femoral head, total hip, femoral diaphysis, and spine from MRI scans of approximately 47,000 UK Biobank participants, including over 41,000 white and over 6300 non-white participants.

Polymerization of dietary fructans differentially affects interactions among intestinal microbiota of colitis mice.

The intestinal microbiota plays a critical role in maintaining human health and can be modulated by dietary interventions and lifestyle choices. Fructans, a dietary carbohydrate, are selectively utilized by the intestinal microbiota to confer health benefits. However, the specific effects of different fructan types on microbial changes and functions remain incompletely understood.

Circular RNAs in the pathogenesis of SARS-CoV-2: potential diagnostic biomarkers and therapeutic targets.

Since December 2019, the global dissemination of a novel coronavirus has precipitated a notable public health crisis, prompting considerable interest and scrutiny from governmental and scholarly entities. Substantial research efforts have been dedicated to exploring diverse facets of this novel coronavirus, encompassing its pathogenesis, transmission dynamics, and therapeutic interventions. Recent findings suggest that circular RNAs (circRNAs) exert a pivotal influence on modulating viral infectivity and immune defense mechanisms.

Formation and stabilization mechanism of Ginsenoside Rg3 inclusion complexes based on molecular simulation.

The formation of inclusion complexes between Ginsenoside Rg3 and cyclodextrins represents a promising strategy to enhance the solubility of G-Rg3. Nevertheless, the molecular mechanisms underlying the interaction between G-Rg3 and cyclodextrins have yet to be fully elucidated. In this study, we employed a combination of molecular simulation and experimental methodologies to identify the most effective solubilizing carriers among G-Rg3, β-cyclodextrin (β-CD), 2-hydroxypropyl-β-cyclodextrin (HP-β-CD), and 2,6-dimethyl-β-cyclodextrin (DM-β-CD).

Construction and validation of a risk prediction model for depressive symptoms in a middle-aged and elderly arthritis population.

Background: Arthritis is a prevalent and debilitating condition that affects a significant proportion of middle-aged and older adults worldwide. Characterized by chronic pain, inflammation, and joint dysfunction, arthritis can severely impact physical function, quality of life, and mental health. The overall burden of arthritis is further compounded in this population due to its frequent association with depression.

[Clinical Characteristics and Prognostic Significance of Gene Mutations in Myelodysplastic Syndromes].

Objective: To explore the mutation of gene in patients with myelodysplastic syndromes (MDS), and explore their correlation with mutations of other genes, clinical features and prognostic of patients.

Methods: High throughput DNA sequencing was used to identify mutations in common blood tumor genes. The mutational characteristics of the gene and the correlation between gene mutations and patients clinical characteristics and prognosis were retrospectively analyzed.

Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health.

The Conference 2024 provides a platform to promote the development of an innovative scientific research ecosystem for microbiome and One Health. The four key components - Technology, Research (Biology), Academic journals, and Social media - form a synergistic ecosystem. Advanced technologies drive biological research, which generates novel insights that are disseminated through academic journals.

Highly sensitive aggregation-induced electrochemiluminescence sensor for cadmium detection in Ganoderma lucidum.

Cadmium (Cd) pollution poses a major threat to food safety. Sensitive detection of Cd is of great significance for the life health. Herein, an aggregation-induced electrochemiluminescence (AIECL) sensor based on polymer dots (Pdots) is designed for Cd detection.

Research on the sustainable design strategies of vernacular architecture in Southwest Hubei-A case study of the First Granary of Xuan'en County.

Vernacular architecture, optimized over centuries to create comfortable thermal environments using sustainable design strategies and local materials, can offer valuable insights for contemporary eco-friendly architectural design. This research investigates the sustainable design strategies of vernacular architecture in southwest Hubei, focusing on the First Granary of Xuan'en County as a representative case study. Through field investigations of indoor environments, this study explores how traditional architectural practices have addressed the region's complex mountainous terrain and hot, humid climate.

Analysis of the spatiotemporal evolution of birth rates and influencing factors in the Yangtze River Basin.

The declining birth rate is one of the world's major challenges. There is much literature on birth rate research in China. However, there are few studies on spatial distribution and influencing factors of birth rate in the Yangtze River Basin.

Spatial association network structure of agricultural carbon emission efficiency in Chinese cities and its driving factors.

In light of the Chinese government's dual carbon goals, achieving cleaner production activities has become a central focus, with regional environmental collaborative governance, including the management of agricultural carbon reduction, emerging as a mainstream approach. This study examines 268 prefecture-level cities in China, measuring the carbon emission efficiency of city agriculture from 2001 to 2022. By integrating social network analysis and a modified gravity model, the study reveals the characteristics of the spatial association network of city agricultural carbon emission efficiency in China.

A Greedy Tabu Dual Heuristic algorithm for the cyclic pickup and delivery problem with 3D loading constraints.

The optimization of auto parts supply chain logistics plays a decisive role in the development of the automotive industry. To reduce logistics costs and improve transportation efficiency, this paper addresses the joint optimization problem of multi-vehicle pickup and delivery transportation paths under time window constraints, coupled with the three-dimensional loading of goods. The model considers mixed time windows, three-dimensional loading constraints, cyclic pickup and delivery paths, varying vehicle loads and volumes, flow balance, and time window constraints.

An antibody cocktail targeting two different CD73 epitopes enhances enzyme inhibition and tumor control.

CD73, an ectoenzyme responsible for adenosine production, is often elevated in immuno-suppressive tumor environments. Inhibition of CD73 activity holds great promise as a therapeutic strategy for CD73-expressing cancers. In this study, we have developed a therapeutic anti-human CD73 antibody cocktail, HB0045.

Non-Invasive Diagnosis of Moyamoya Disease Using Serum Metabolic Fingerprints and Machine Learning.

Moyamoya disease (MMD) is a progressive cerebrovascular disorder that increases the risk of intracranial ischemia and hemorrhage. Timely diagnosis and intervention can significantly reduce the risk of new-onset stroke in patients with MMD. However, the current diagnostic methods are invasive and expensive, and non-invasive diagnosis using biomarkers of MMD is rarely reported.