Development and validation of an interpretable multi-task model to predict outcomes in patients with rhabdomyolysis: a multicenter retrospective cohort study.

Background: Rhabdomyolysis (RM) is a complex clinical syndrome with heterogeneous progression patterns among patients of varying severity. Early and accurate prediction of acute kidney injury (AKI), disease severity, renal replacement therapy (RRT) requirements, and mortality risk is essential for timely identification of high-risk individuals, personalized treatment planning, and optimal allocation of healthcare resources. We aimed to develop and externally validate an interpretable multi-task machine learning (ML) model to predict four clinical outcomes in patients with rhabdomyolysis: AKI, disease severity, the need for RRT, and in-hospital mortality.

Simulation Prediction and Experimental Research on Surface Morphology of Ball Head Milling Processing.

With the aim of improving the machined surface quality of die steel, this paper takes Cr12MoV quenched die steel as the research object and proposes a ball head milling surface morphology prediction model that comprehensively considers influencing factors, including tool vibration, eccentricity, as well as deformation. By setting key parameters, such as line spacing, feed per tooth, cutting depth, and phase difference, the system analyzed the influence of each parameter on the residual height and surface roughness of the machined surface. High-speed milling experiments were conducted, and the surface morphology of the samples was observed and measured under a microscope.

Neural investigations of a digital-game based intervention for young Learners with mathematical developmental variability.

Developmental dyscalculia (DD), a significant mathematics learning difficulty, remains under-researched in terms of its neural mechanisms and effective interventions. Few studies have examined neural changes after math interventions in young children. This study investigated these changes in thirty-two dyscalculia-at-risk (DR) and non-dyscalculia-at-risk (NDR) children following a digital game-based intervention, focusing on brain activation and network changes using graph theory metrics.

The associated network embedded decision-making authority allocation and risk-taking of enterprise groups.

This research examines the impact of the internal allocation of decision-making authority on the risk-taking behavior of enterprise groups, based on a sample of A-share listed parent-subsidiary companies from 2010 to 2022. The study finds that a centralized decision-making structure is associated with reduction in the overall risk profile of enterprise groups. This paper further employs a mechanism analysis through the establishment of a moderated mediation model with an associated network, which reveals that the centralization of internal decision-making authority achieves a reduction in the level of risk-taking through the operation of the internal capital market through two distinct mechanisms.

Autologous platelet delivery of siRNAs by autologous plasma protein self-assembled nanoparticles for the treatment of acute kidney injury.

Acute kidney injury (AKI) involves the activation of intrarenal hemostatic and inflammatory pathways. Platelets rapidly migrate to affected sites of AKI and release extracellular vesicles (EVs) laden with bioactive mediators that regulate inflammation and hemostasis. While small interfering RNA (siRNA) is a potent gene-silencing tool for biomedical applications, its therapeutic application in vivo remains challenging.

Nature-inspired hierarchical building materials with low CO emission and superior performance.

Conventional cement-based materials are faced with significant challenges, including large carbon emissions, high density, and quasi-brittleness. Here, inspired by hierarchical porous structures existing in nature, we develop a low carbon, lightweight, strong and tough cement-based material (LLST), which is obtained by a rapid gelation of hydrogel as skeleton and subsequent deposition of cement hydrates as a skin. As a result, the LLST exhibits hierarchical structure consisting of sponge-like micropores (1 ~ 50 μm) and nanopores (5 ~ 100 nm), without detrimental macropores that compromise light weight, strength, and toughness.

Targeted Detection of 76 Carnitine Indicators Combined with a Machine Learning Algorithm Based on HPLC-MS/MS in the Diagnosis of Rheumatoid Arthritis.

Background/objectives: Early diagnosis and treatment of rheumatoid arthritis (RA) are essential to reducing disability. However, the diagnostic criteria remain unclear, relying on clinical symptoms and blood markers.

Methods: Using high-performance liquid chromatography-mass spectrometry (HPLC-MS/MS) targeted detection, we evaluated 76 carnitine indicators (55 carnitines and 21 corresponding ratios) in the serum of patients with RA to investigate the role of carnitine in RA.

Oviduct Glycoprotein 1 (OVGP1) Diagnoses Polycystic Ovary Syndrome (PCOS) Based on Machine Learning Algorithms.

: To investigate the diagnostic value of oviduct glycoprotein 1 (OVGP1) levels for polycystic ovary syndrome (PCOS). : Serum OVGP1 concentrations were measured by enzyme-linked immunosorbent assay (ELISA). Associations between OVGP1 and endocrine parameters were evaluated by Spearman's correlation analysis.

Personal mastery and quality of life in patients with atrial fibrillation after radiofrequency ablation: The mediating role of health promoting behavior.

Background: Improving quality of life is vital for patients with atrial fibrillation (AF) after radiofrequency ablation. Quality of life can be affected not only by personal mastery but also by health promoting behavior as previously studied. However, it remains unclear whether health promoting behavior mediates the relationship between personal mastery and quality of life.

Exosomal circRNAs in the plasma serve as novel biomarkers for IPF diagnosis and progression prediction.

Background: Idiopathic Pulmonary Fibrosis (IPF) is a type of chronic interstitial pneumonia, often fatal, with elusive causes and a bleak prognosis. Its treatment options are limited and largely ineffective. Early detection and precise diagnosis are pivotal in managing the disease effectively and enhancing patient survival rates.

Cause of death and influencing factors of chronic renal failure on maintenance hemodialysis.

Objective: To investigate the causes of death in patients with chronic renal failure (CRF) on maintenance hemodialysis and its influencing factors.

Methods: This is a retrospective study. A total of 300 patients with chronic renal failure undergoing maintenance hemodialysis who were admitted to the Affiliated Hospital of Hebei University from March 2020 to October 2022 were selected as subjects.

ESM-1 Mediates Cell Progression in Clear Cell Renal Cell Carcinoma by Affecting Wnt/β-Catenin Signalling Pathway.

Background: Overexpressed endothelial cell specific molecule-1 (ESM-1) has been identified in various human malignancies, but its expression and function in clear cell renal cell carcinoma (ccRCC) progression are still uncovered. This study explored the critical roles as well as molecular mechanism of ESM-1 in ccRCC progression.

Methods: The ESM-1 expression in ccRCC tissues and cells was measured using Western blot assay.

Prediction of prognosis and immunotherapy response of amino acid metabolism genes in acute myeloid leukemia.

Background: Amino acid (AA) metabolism plays a crucial role in cancer. However, its role in acute myeloid leukemia (AML) is still unavailable. We screened out AA metabolic genes, which related to prognosis, and analyzed their correlation with tumor immune microenvironment in AML.

Novel 3D Printing Phase Change Aggregate Concrete: Mechanical and Thermal Properties Analysis.

The use of phase change materials (PCMs) in concrete is a double-edged sword that improves the thermal inertia but degrades the mechanical properties of concrete. It has been an essential but unsolved issue to enhance the thermal capacity of PCMs while non-decreasing their mechanical strength. To this end, this work designs a novel 3D printing phase change aggregate to prepare concrete with prominent thermal capacity and ductility.

Inhibiting specificity protein 1 attenuated sevoflurane-induced mitochondrial stress and promoted autophagy in hippocampal neurons through PI3K/Akt/mTOR and α7-nAChR signaling.

Sevoflurane, a commonly used anesthetic in surgery, is considered as an inducer of neurodegenerative diseases and postoperative complications including postoperative cognitive dysfunction. Evidence showed that specificity protein 1 (SP1) participated in the regulation of various cellular processes. Also, SP1 was found to modulate sevoflurane-induced hippocampal inflammatory injury both in vitro and in vivo.

An Approach of Producing Ultra-High-Performance Concrete with High Elastic Modulus by Nano-AlO: A Preliminary Study.

Ultra-high-performance concrete (UHPC) has promising applications in civil engineering. However, the elastic modulus of UHPC is relatively low compared with its compressive strength, which may result in insufficient stiffness in service. This work was carried out to explore the feasibility of producing UHPC with high elastic modulus by nano-AlO (NA).

Cognitive processing features of elementary school children with mathematical anxiety: Attentional control theory-based explanation.

A growing body of research suggests that mathematical anxiety (MA) seriously affects an individual's math achievement. However, few studies have focused on the cognitive mechanisms of MA in elementary school children. Based on attention control theory (ACT), this research aimed to explore the cognitive mechanism of MA in elementary school children using two studies.