How connected is the multilayer risk spillover network between worldwide climate policy uncertainty and the Chinese stock market?

Theoretically, worldwide climate policy uncertainty (CPU), including Chinese climate policy uncertainty (CCPU), US climate policy uncertainty (USCPU) and global CPU (GCPU), constitutes a critical risk source for Chinese stock markets. To examine the relationships between worldwide CPU and Chinese stock volatility risks, we construct and compare multilayer risk spillover networks based on the TVP-VAR model. System-level analysis reveals that CCPU has the strongest influence, with three network layers displaying unique evolutionary patterns but structurally intertwined relationships.

Hybrid EEG Feature Learning Method for Cross-Session Human Mental Attention State Classification.

Background: Decoding mental attention states from electroencephalogram (EEG) signals is crucial for numerous applications such as cognitive monitoring, adaptive human-computer interaction, and brain-computer interfaces (BCIs). However, conventional EEG-based approaches often focus on channel-wise processing and are limited to intra-session or subject-specific scenarios, lacking robustness in cross-session or inter-subject conditions.

Methods: In this study, we propose a hybrid feature learning framework for robust classification of mental attention states, including focused, unfocused, and drowsy conditions, across both sessions and individuals.

A Simulated Comprehensive Photon Flux Shielding Spectra Dataset for Advanced Radiation Safety Assessment.

Nuclear technology plays a pivotal role in global development, especially as a cornerstone of sustainable innovation. However, nuclear reactions emit high-energy photons and pose significant risks to human health and safety. Accurate radiation hazard assessments are essential for nuclear facilities.

Quaternary Glaciation Accelerates Speciation in Aquatic Snakes Through Recent Bottlenecks.

Climatic fluctuations during glacial periods have profoundly shaped the demographic history and gene flow dynamics of many taxa. This study integrated high-throughput sequencing of 67 individuals with comprehensive genomic analyses to investigate biogeographic patterns, genetic divergence and demographic trajectories in the Opisthotropis latouchii species complex, a group of mountain stream snakes distributed across Central China. Our analyses revealed substantial genetic divergence, identifying four distinct lineages, each confined to one of the four major mountain ranges in Central China, including one previously unrecognised species.

In situ proximity labeling of proteins associated with circRNA and RNA G-quadruplexes.

Profiling the protein interactome of specific RNA loci aids in understanding the molecular mechanisms of regulatory RNA. However, current RNA-centric methods have sufficient space for improvement in terms of efficiency and biocompatibility. Here we developed TurboID-assisted proximity labeling of targeted RNA-interacting proteins (TAPRIP), in which the proximity labeling enzyme miniTurbo is attached to an RNA-targeting element, CIRTS3, to label the targeted RNA-interacting proteins, which are then analyzed by mass spectrometry.

Comparison of totally extraperitoneal versus Lichtenstein operation under local or general anesthesia for inguinal hernia: a meta-analysis.

Purpose: This meta-analysis compared totally extraperitoneal (TEP) laparoscopic repair with open Lichtenstein repair performed under local or general anaesthesia for unilateral inguinal hernia, asking whether the surgical or anaesthetic approach affects postoperative safety, pain and functional recovery.

Methods: PubMed, Embase, Cochrane and Web of Science were searched to 1 April 2025. Eighteen randomized and observational studies comprising 4302 patients met predefined inclusion criteria.

Xietu Hemu Prescription Improves Metabolic Dysfunction-Associated Steatotic Liver Disease: A Real-World Cohort Study.

Purpose: This study aims to evaluate the efficacy of the Xietu Hemu prescription (XHP) in improving metabolic dysfunction-associated steatotic liver disease (MASLD) through a Real World Study approach.

Methods: This was a single-center, prospective, real-world cohort study of 262 patients with MASLD who met the inclusion and exclusion criteria from November 2021 to November 2023 at Jiangsu Provincial Hospital of Traditional Chinese Medicine. The exposure of this study was who took the XHP.

Understanding the Nanoindentation Edge Effect of Single-Crystal Silicon Using Molecular Dynamics Simulations.

The edge effect refers to what occurs when an object undergoes elastic contact with the edge of a material. This is common in practical applications, but the understanding of this phenomenon is not yet mature enough, and understanding the microscopic characteristics of the material regarding this phenomenon is necessary. This article investigates the edge effects of single-crystal silicon at different indentation positions through molecular dynamics simulations.

Qidong Huoxue decoction protects against acute lung injury by promoting SIRT1-mediated p300 deacetylation.

Background: Qidong Huoxue Decoction (QD), a traditional Chinese medicine, has been used clinically to treat acute lung injury (ALI); however, its anti-inflammatory mechanisms remain poorly understood.

Purpose: This study aimed to elucidate the mechanism by which QD mitigates ALI, focusing on its anti-inflammatory effects.

Methods: A combination of serum pharmacochemistry, acetyl-proteomic sequencing, and experimental validation was used to investigate the therapeutic effects of QD on ALI.

Platinum(IV) Prodrug-Coupled TAT Nuclear-Targeting Peptide for Drug Delivery and High Antitumor Efficacy with Low Toxicity.

The occurrence of serious toxic side effects caused by the low selectivity of first-line platinum drugs is the main limitation of their clinical application. To address this issue, this work fully utilizes the designable, targetable, and easily modifiable characteristics of peptides to successfully prepare a nuclear targeted peptide-coupled Pt(IV) prodrug, named Pt(IV)-TAT. experiments showed that at the same concentration, the Pt(IV)-TAT prodrug accumulates more in the tumor cell nucleus than cisplatin and induces genomic DNA damage, activating apoptotic pathways.

Single cell sequencing and computational findings reveal anti-estrogen receptor-positive breast cancer roles of formononetin.

Breast cancer is the second leading cancer type in women, accounting for 11.6% of all cancers. Recently, its incidence has increased in younger individuals.

High-Stability Ionic Conductive Filtering Transistors for Bio-Inspired Signal Processing.

Applying low-pass filters in satellite communications effectively eliminates unwanted high-frequency signals and noise during image capture, mirroring the human brain's selective filtering of sensory stimuli. To enhance the efficiency of signal processing for remote sensing images, a neuromorphic information processing array based on oxide field-effect transistors are developed with HfO-lithium aluminium germanium phosphate (LAGP)-HfO stacked dielectric (HLH FETs). The Li-ion solid-state electrolytes are stabilized in complex environments (extreme temperature and magnetic field) due to the protective sandwich structure.

Chromosome-level genome assemblies of five species.

, a genus of tetraploid fishes endemic to Southwest China's karst regions, are classified as second-class nationally protected species due to their fragile habitat. Limited high-quality genomic resources have hampered studies on their phylogenetic relationships and the origin of their polyploidy. Here, we present a high-quality genome assembly of the most abundant species, the golden-line barbel (), by integrating PacBio long-read and Hi-C sequencing.

Machine learning-based prediction reveals kinase MAP4K4 regulates neutrophil differentiation through phosphorylating apoptosis-related proteins.

Neutrophils, an essential innate immune cell type with a short lifespan, rely on continuous replenishment from bone marrow (BM) precursors. Although it is established that neutrophils are derived from the granulocyte-macrophage progenitor (GMP), the molecular regulators involved in the differentiation process remain poorly understood. Here we developed a random forest-based machine-learning pipeline, NeuRGI (Neutrophil Regulatory Gene Identifier), which utilized Positive-Unlabeled Learning (PU-learning) and neural network-based in silico gene knockout to identify neutrophil regulators.

The Roles of Apolipoprotein A1-Binding Protein in Metabolic Diseases.

Metabolic disorders, including atherosclerosis, diabetes, and metabolic dysfunction-associated steatotic liver disease, are closely related to increased cardiovascular risks, significantly harming human life and health. Apolipoprotein A1-binding protein (AIBP), a multifunctional protein, plays crucial role in cholesterol metabolism. AIBP exerts an important action in managing metabolic diseases by interacting with apolipoprotein A-I and ATP-binding cassette transporter A1 activities to regulate high-density lipoprotein)-mediated cholesterol transport and to maintain lipid homeostasis.

Deep learning and machine learning in CT-based COPD diagnosis: Systematic review and meta-analysis.

Background: With advancements in medical technology and science, chronic obstructive pulmonary disease (COPD), one of the world's three major chronic diseases, has seen numerous remarkable outcomes when combined with artificial intelligence, particularly in disease diagnosis. However, the diagnostic performance of these AI models still lacks comprehensive evidence. Therefore, this study quantitatively analyzed the diagnostic performance of AI models in CT images of COPD patients, aiming to promote the development of related research in the future.

Consolidated Microscale Interferon-γ Release Assay with Tip Optofluidic Immunoassay for Dynamic Parallel Diagnosis of Tuberculosis Infection.

Interferon-γ release assay (IGRA) is one of the most important diagnostic tools for tuberculosis (TB) infection. Despite its high accuracy, conventional IGRA has several drawbacks, including complicated procedures, large blood volume requirements, lengthy incubation times, and difficulties in parallel testing. Efforts have been made to develop miniaturized and highly sensitive biosensors for interferon-γ or to evaluate the specific immune response through microfluidic platforms.

When I Receive Too Much Social Support: The Effect of Social Support Overload on Users' Life Burnout and Discontinuance in Fitness Apps.

Background/objectives: As fitness apps increasingly incorporate social interaction features, users may find themselves overwhelmed by an excess of received support, struggling to effectively manage it. Highlighting a novel recipient-centric perspective, we aim to investigate the impact of social support overload on users' life burnout and discontinuance within fitness apps.

Methods: Utilizing Social Support Theory and Basic Psychological Needs Theory, we develop a model to examine how emotional, network, and informational support overload affect life burnout and discontinuance through the frustration of basic psychological needs: autonomy, competence, and relatedness.

In Silico Conotoxin Studies: Progress and Prospects.

Cone snails of the genus have evolved to produce structurally distinct and functionally diverse venom peptides for defensive and predatory purposes. This nature-devised delicacy enlightened drug discovery and for decades, the bioactive cone snail venom peptides, known as conotoxins, have been widely explored for their therapeutic potential, yet we know very little about them. With the augmentation of computational algorithms from the realms of bioinformatics and machine learning, in silico strategies have made substantial contributions to facilitate conotoxin studies although still with certain limitations.

Power-free plasma separation based on negative magnetophoresis for rapid biochemical analysis.

We present a versatile platform for label-free magnetic separation of plasma, tailored to accommodate diverse environments. This innovative device utilizes an advanced long-short alternating double Halbach magnetic array, specifically engineered for optimal magnetic separation. The array's adaptability allows for seamless integration with separation channels of varying sizes, enabling static separation of whole blood.

The Association Between Ambient Particulate Matter Exposure and Anemia in HIV/AIDS Patients.

Background: Anemia is common among HIV/AIDS patients, impacting prognosis. Particulate matter (PM) exposure is an understudied, potentially modifiable risk factor in this group.

Methods: We gathered 36,266 hemoglobin (Hb) measurements from 6808 HIV/AIDS patients from the HIV/AIDS Comprehensive Response Information Management System from 1 January 2004 to 31 December 2021.

Quantification of electrochemically accessible iridium oxide surface area with mercury underpotential deposition.

Research drives development of sustainable electrocatalytic technologies, but efforts are hindered by inconsistent reporting of advances in catalytic performance. Iridium-based oxide catalysts are widely studied for electrocatalytic technologies, particularly for the oxygen evolution reaction (OER) for proton exchange membrane water electrolysis, but insufficient techniques for quantifying electrochemically accessible iridium active sites impede accurate assessment of intrinsic activity improvements. We develop mercury underpotential deposition and stripping as a reversible electrochemical adsorption process to robustly quantify iridium sites and consistently normalize OER performance of benchmark IrO electrodes to a single intrinsic activity curve, where other commonly used normalization methods cannot.

Letrozole-Based Near-Infrared Dynamic Imaging Targeting Ductal-Vascular RhoJ From Pancreatic Intraepithelial Neoplasia to Pancreatic Ductal Adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) relies heavily on neoangiogenesis for its progression, making early detection crucial. Here, LTZi-MHI148 (Letrozole inhibitor bonding with MHI-148 dye), a near-infrared (NIR) fluorescent agent is developed, to target RhoJ (Ras Homolog Family Member J), a protein expressed in neonatal vasculature, for both imaging and therapy of early PDAC. This agent is synthesized by conjugating Letrozole with MHI-148, exhibiting excellent NIR characteristics and photostability.