Effects of a Mobile Health Intervention Based on Behavioral Integrated Model on Cognitive and Behavioral Changes in Gestational Weight Management: Randomized Controlled Trial.

Background: The key to gestational weight management intervention involves health-related behaviors, including dietary and exercise management. Behavioral theory-based interventions are effective in improving health-related behaviors. However, evidence for mobile health interventions based on specific behavioral theories is insufficient and their effects have not been fully elucidated.

Exploring the Potential of tsRNA as Biomarkers for Diagnosis and Treatment of Neurogenetic Disorders.

tRNA-derived small RNA (tsRNA) is a recently discovered small non-coding RNA (ncRNA) molecule that widely exists in prokaryotic and eukaryotic transcriptomes and is produced by specific cleavage of mature tRNA or precursor tRNA. In recent years, with the development of high-throughput sequencing technology, tsRNA has been found to have a variety of biological functions, including gene expression regulation, stress signal activation, etc. In addition, it has been found that these molecules are abnormally expressed in various diseases and participate in various pathological processes, which play an important role.

Inverse Oxide/Alloy-Structured Nanozymes with NIR-Triggered Enzymatic Cascade Regulation of ROS Homeostasis for Efficient Wound Healing.

The precise spatiotemporal control of reactive oxygen species (ROS) generation and scavenging remains pivotal for infected wound healing. However, conventional nanozymes fail to adaptively regulate ROS dynamics across inflammatory and proliferative phases. A near-infrared (NIR)-activated inverse oxide/alloy-structured nanozyme (CoFe/ZnO@C) is developed, featuring enzymatic cascade activities to tune ROS homeostasis through synergistic chemodynamic (CDT), photodynamic (PDT), and photothermal (PTT) therapies.

Identification of Dynamic Recrystallization Model Parameters for 40CrMnMoA Alloy Steel Using the Inverse Optimization Method.

The microstructure of 40CrMnMoA during hot forging determines its macroscopic mechanical properties. Dynamic recrystallization (DRX) behavior is commonly used to refine grains and improve the microstructure of materials; therefore, it is important to be able to predict mechanical behavior during hot forging and the microstructure evolution during dynamic recrystallization. In order to accurately determine the DRX model parameters of 40CrMnMoA steel, an inverse optimization method is proposed in this work.

Development and evaluation of the recombinant BP26 protein-based C-ELISA for human brucellosis diagnosis.

Introduction: Timely and accurate diagnosis is crucial for the effective treatment and prevention of brucellosis. Current serological diagnostics, primarily based on lipopolysaccharide (LPS), suffer from cross-reactivity with other Gram-negative bacteria, which limits their specificity. Periplasmic protein 26 (BP26), a highly immunogenic antigen found in , has emerged as a promising alternative for enhancing diagnostic specificity.

Active Locating Exciton- and Charge-Initialized Degradation in Quantum-Dot Light-Emitting Diodes.

For quantum-dot light-emitting diodes (QLED), electrical aging commonly introduces collective aging sources across all layers, making it difficult to isolate the impact of each layer on electroluminescence (EL) degradation. In this work, a layer-selective aging method using active photoexcitation is proposed, in which the photoexcitation wavelength is used to selectively target specific layers for exciton generation, and an electrical bias is applied to induce photocurrent and create charges. An iterative aging-sampling (A-S) procedure is used to link aging conditions to EL degradation.

Usefulness of Magnifying Endoscopy With Narrow-Band Imaging for Diagnosis of Ulcerative Colitis-Associated Neoplasia.

Background And Aim: Qualitative diagnosis of ulcerative colitis-associated neoplasia (UCAN) is crucial for surveillance colonoscopy in patients with ulcerative colitis (UC). Although the utility of magnifying endoscopy with narrow-band imaging (ME-NBI) in sporadic neoplasia diagnosis has been reported, its efficacy in UCAN remains unclear. This study aimed to evaluate the usefulness of ME-NBI for qualitative diagnosis of UCAN.

Anisotropic Plasmon Resonance in TiCT MXene Enables Site-Selective Plasmonic Catalysis.

The ever-growing interest in MXenes has been driven by their distinct electrical, thermal, mechanical, and optical properties. In this context, further revealing their physicochemical attributes remains the key frontier of MXene materials. Herein, we report the anisotropic localized surface plasmon resonance (LSPR) features in TiCT MXene as well as site-selective photocatalysis enabled by the photophysical anisotropy.

CsMPDB 1.0: An interactive web application for visualizing and exploring the microRNAs and phasiRNAs of tea plant (Camellia sinensis var. sinensis 'Shuchazao').

The microRNAs and phasiRNAs of plant are small non-coding RNAs with important functions through regulating gene expression at the post-transcriptional level. However, identifying miRNAs, phasiRNAs and their target genes from numerous sequencing raw data requires multiple software and command-line operations, which are time-consuming and labor-intensive for non-model plants. Therefore, we present CsMPDB (miRNAs and phasiRNAs database of Camellia sinensis), an interactive web application with multiple analysis modules developed to visualize and explore miRNA and phasiRNA in tea plants based on 259 sRNA-seq samples and 24 degradome-seq samples in NCBI.

Spatiotemporal distribution prediction for PM based on STXGBoost model and high-density monitoring sensors in Zhengzhou High Tech Zone, China.

The increasing demand for air pollution control has driven the application of low-cost sensors (LCS) in air quality monitoring, enabling higher observation density and improved air quality predictions. However, the inherent limitations in data quality from LCS necessitate the development of effective methodologies to optimize their application. This study established a hybrid framework to enhance the accuracy of spatiotemporal predictions of PM, standard instrument measurements were employed as reference data for the remote calibration of LCS.

An Analysis of the Influence of DSC Parameters on the Measurement of the Thermal Properties of Phase-Change Material.

A differential scanning calorimeter (DSC) is widely used for measuring the thermal properties of phase-change materials (PCMs). Optimizing test conditions based on material characteristics is essential for accurate results. This study investigates the effects of experimental parameters, including sample mass, heating rate, measurement modes, and atmosphere flow rate, on the phase-change enthalpy and phase-change temperature results.

Energy insufficiency induced by high purine diet: Catalysts for renal impairment in hyperuricemia nephropathy rat model.

A high purine diet emerges as a significant risk factor for hyperuricemia, and this diet may potentiate hyperuricemia nephropathy. Despite this, the mechanistic underpinnings of kidney damage precipitated by a high purine diet warrant further research. In the current investigation, a hyperuricemia nephropathy rat model was developed through induction via a high purine diet.

Transient Leakage Electroluminescence of Quantum-Dot Light-Emitting Diodes.

Parasitic emission or leakage emission caused by electron leakage to a hole transport layer in quantum-dot light-emitting diodes (QLEDs) critically impacts device efficiency and operational stability. The buildup dynamics of such emission channels, however, was insufficiently researched. Herein, we investigate transient electroluminescence dynamics of leakage emission in red/green/blue (R/G/B) QLEDs and reveal notable contrast for R and G.

PPGV: a comprehensive database of peach population genome variation.

Peach tree is one of the most important fruit trees in the world, and it has been cultivated for more than 7,500 years. In recent years, the genome and population resequencing of peach trees have been published continuously, which has effectively promoted the research of peach tree genetics and breeding. In order to promote the further mining and utilization of these data, we integrated and constructed a comprehensive peach genome and variation database (PPGV, http://peachtree.

ICG-labeled PD-L1-antagonistic affibody dimer for tumor imaging and enhancement of tumor photothermal-immunotherapy.

In clinical practice, tumor-targeting diagnosis and immunotherapy against programmed death ligand 1 (PD-L1) have a significant impact. In this research, a PD-L1-antagonistic affibody dimer (Z) was successfully prepared through Escherichia coli expression system, and conjugated with the photosensitizer of ICG via N-hydroxysuccinimide (NHS) ester to develop a novel tumor-targeting agent (ICG-Z) for both tumor imaging diagnosis and photothermal-immunotherapy simultaneously. In vitro, Z could specifically bind to PD-L1-positive LLC and MC38 tumor cells, and ICG-Z-mediated photothermal therapy (PTT) also showed excellent phototoxicity to these tumor cells.

HybMED: A Hybrid Neural Network Training Processor With Multi-Sparsity Exploitation for Internet of Medical Things.

Cloud-based training and edge-based inference modes for Artificial Intelligence of Medical Things (AIoMT) applications suffer from accuracy degradation due to physiological signal variations among patients. On-chip learning can overcome this issue by online adaptation of neural network parameters for user-specific tasks. However, existing on-chip learning processors have limitations in terms of versatility, resource utilization, and energy efficiency.

Precise and low-power closed-loop neuromodulation through algorithm-integrated circuit co-design.

Implantable neuromodulation devices have significantly advanced treatments for neurological disorders such as Parkinson's disease, epilepsy, and depression. Traditional open-loop devices like deep brain stimulation (DBS) and spinal cord stimulators (SCS) often lead to overstimulation and lack adaptive precision, raising safety and side-effect concerns. Next-generation closed-loop systems offer real-time monitoring and on-device diagnostics for responsive stimulation, presenting a significant advancement for treating a range of brain diseases.

ILD-GAP combined with the monocyte ratio could be a better prognostic prediction model than ILD-GAP in patients with interstitial lung diseases.

Background: The ILD-GAP scoring system is known to be useful in predicting prognosis in patients with interstitial lung disease (ILD). An elevated monocyte count was associated with increased risks of IPF poor prognosis. We examined whether the ILD-GAP scoring system combined with the monocyte ratio (ILD-GAPM) is superior to the conventional ILD-GAP model in predicting ILD prognosis.

Integrated analysis of bulk RNA-seq and single-cell RNA-seq reveals the function of pyrocytosis in the pathogenesis of abdominal aortic aneurysm.

Pyrocytosis is involved in the development of abdominal aortic aneurysm (AAA), we explored the pyrocytosis-related hub genes in AAA and conducted a diagnostic model based on the pyrocytosis-related genes score (PRGs). A total of 2 bulk RNA-seq (GSE57691 and GSE47472) datasets and pyrocytosis-related genes were integrated to obtain 24 pyrocytosis-related different expression genes (DEGs). The LASSO Cox regression analysis was conducted to filter out 7 genes and further establish the nomogram signature based on the PRGs that exhibited a good diagnosis value.

Individual-Level Health Care Costs Attributable to Noncommunicable Diseases: A Longitudinal Study Based on the Older Adults in China.

Noncommunicable chronic diseases among the elderly population represent a significant economic burden in China. However, previous disease-related health cost studies lacked representation of older adults and comparability of the burden of multiple chronic diseases. The objective of this study was to determine the fraction of health care costs attributable to the 6 most prevalent chronic diseases and comorbidities in the sample of older adults.

Healthcare costs attributable to abnormal weight in China: evidence based on a longitudinal study.

Background: The prevalence of abnormal weight is on the rise, presenting serious health risks and socioeconomic problems. Nonetheless, there is a lack of studies on the medical cost savings that can be attained through the mitigation of abnormal weight. The aim of this study was to estimate the impact of abnormal weight on healthcare costs in China.

A 510 μW 0.738-mm 6.2-pJ/SOP Online Learning Multi-Topology SNN Processor With Unified Computation Engine in 40-nm CMOS.

Implementing neural networks (NN) on edge devices enables AI to be applied in many daily scenarios. The stringent area and power budget on edge devices impose challenges on conventional NNs with massive energy-consuming Multiply Accumulation (MAC) operations and offer an opportunity for Spiking Neural Networks (SNN), which can be implemented within sub-mW power budget. However, mainstream SNN topologies varies from Spiking Feedforward Neural Network (SFNN), Spiking Recurrent Neural Network (SRNN), to Spiking Convolutional Neural Network (SCNN), and it is challenging for the edge SNN processor to adapt to different topologies.

A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses.

Versatile and energy-efficient neural signal processors are in high demand in brain-machine interfaces and closed-loop neuromodulation applications. In this paper, we propose an energy-efficient processor for neural signal analyses. The proposed processor utilizes three key techniques to efficiently improve versatility and energy efficiency.