Effectiveness of nonpharmacological interventions for menopause-related insomnia: A systematic review and Bayesian network meta-analysis.

Background: Nonpharmacological therapies are widely used to improve the sleep quality of menopausal women experiencing insomnia. It is necessary to clarify which of the nonpharmacological therapies studied in randomized controlled trials are most effective and comprehensively evaluate their impacts.

Method: We conducted a systematic search across PubMed, Embase, the Cochrane Central Register of Controlled Trials, and the Web of Science from their inception until May 25, 2025.

Selection of geographical populations suitable for artificial breeding of the Northeast China Brown Frog (Rana dybowskii).

Amphibians, as a group greatly disturbed by human activities, are at increased risk of extinction. Rana dybowskii is an anuran species with both ecological and economic significance. Due to environmental changes and human overexploitation, it has been classified as Near-Threatened.

DE-HRNet: Detail enhanced high-resolution network for human pose estimation.

Scale variation is a challenge in human pose estimation. The scale variations of human body are related to the accuracy and robustness of posture estimation. For example, the prediction accuracy of smaller joints (such as ankles and wrists) is less than that of larger joints (such as head and shoulders).

The fabrication of N, S co-doped carbon dots and cascade sensing Hg and bovine serum albumin in food with reversible strategy.

High-performance effective and precise detection of Hg possesses great significance for ensuring environmental, food safety and public health, but still a great challenge. Here, efficient fabrication of NS-doped carbon dots (NS-CDs) were achieved and applied as fluorescent probe for cascade sensing Hg and BSA. NS-CDs emitted green emission at 500 nm under 355 nm excitation.

A Reliability Fault Diagnosis Method for Diesel Engines Based on the Belief Rule Base with Data-Driven Initialization.

Diesel engines serve as critical power sources across transportation and industrial fields, and their fault diagnosis is essential for ensuring operational safety and system reliability. However, acquiring sufficient and effective operational data remains a significant challenge due to the high complexity of the systems. As a modeling method that incorporates expert knowledge, the belief rule base (BRB) demonstrates strong potential in resolving such challenges.

Surface Field Effect-Enhanced Cu-Doped WO Nanowires for Fast Response HS Sensors.

Accurately detecting hydrogen sulfide in the environment and monitoring its pollution sources are crucial for pollution assessment and personal safety. However, rapid detection is a challenge due to the influence of carrier behavior and surface adsorption states. In this paper, Cu-doped WO nanowires were synthesized by the solvothermal method.

Multispectrum Electromagnetic Response in FeNiHo/C Heterodimensional Structure for Microwave Absorption and Multimode Photodetection.

Multispectrum response technology is the key to developing multifunctional electromagnetic devices in cross-field applications. Traditional methods rely on integrating complex multi-material systems, leading to bulkier and costlier devices. Here, a hierarchical heterodimensional structure composed of FeNiHo alloy and carbon matrix achieves autonomous multispectrum-coupling electromagnetic response between microwave and ultraviolet through polar interface engineering.

A study on the impact of perceived teacher emotional support on university students' online learning engagement: the mediating role of academic burnout.

Introduction: This study investigates the impact of perceived teacher emotional support on university students' engagement in online learning, with a particular focus on the mediating role of academic burnout. Although prior research has established that perceived teacher emotional support positively influences learning engagement and that academic burnout has a negative effect, the underlying mechanisms among these three variables in an online learning context remain unclear.

Methods: Participants were drawn from a public university in China.

A student academic performance prediction model based on the interval belief rule base.

Student performance prediction (SPP) constitutes one of the pivotal tasks in educational data analysis. Outcomes from the prediction enables educators to implement targeted interventions for students. Therefore, developing an effective SPP model is of critical importance.

Knowledge graph convolutional networks with user preferences for course recommendation.

With the rapid growth of the internet and online education resources, the number of massive open online courses (MOOCs) has increased dramatically, making it difficult for users to find personalized courses that meet their needs. Knowledge graphs (KGs) have been employed in recommendation systems to effectively address the issue of sparse interaction data in the MOOC scenarios for their rich semantic information. Research on KG-enhanced recommendation algorithms has found that the utilization of side information in KGs is crucial for improving accuracy.

Cell-supporting cytoskeletons and phagocytic acquisition of compatible solutes emerge as common strategies for high-salt adaptation in different ciliates.

Understanding the adaptation of organisms to extreme environments is a fascinating topic in biology. Ciliated eukaryotes (ciliates) that inhabit high-salinity environments exhibit remarkable diversity. We revealed various structural and molecular adaptations through a comprehensive investigation of Schmidingerothrix, a ciliate tolerant to salinity levels of up to 25%.

Anatase bimetallic oxide TiVO: toward superior lithium-ion storage performance.

Titanium oxide (TiO) is a promising active electrode material for lithium-ion storage due to its abundant reserves, low cost, excellent stability and high safety. However, its moderate specific capacity and limited rate performance hinder further development and practical applications. In this study, anatase-phase vanadium titanium oxide (TiVO) was synthesized by incorporating highly active V ions into the anatase TiO crystal structure a template-assisted self-sacrificial method.

Comparative Analysis of Chloroplast Genome Between Widely Distributed and Locally Distributed (Gesneriaceae) Related Members.

The genus belongs to the family Gesneriaceae and includes plants with both ornamental and medicinal value. However, genomic-level data on the genus remains scarce. Previous investigations of have predominantly centered on morphological classification, with only limited exploration of molecular phylogenetics.

Interface-Engineered Construction of Amorphous FeNi(OH) and Crystalline NiS Heterojunction Catalysts for Achieving Efficient Bifunctional Electrocatalysts in Overall Water Splitting.

The advancement of inexpensive and productive bifunctional electrocatalysts for overall water splitting is essential for achieving hydrogen energy production. Herein, a hierarchical heterostructure catalyst composed of amorphous FeNi(OH) nanosheets supported on a crystalline NiS scaffold, which is anchored to nickel foam through a combined hydrothermal-electrodeposition strategy, is reported. The crystalline NiS framework exhibits metal-like electrical conductivity and optimized hydrogen adsorption kinetics, while the amorphous FeNi(OH) overlayer offers abundant adaptive active sites that enhance oxygen evolution reaction (OER) activity.

Characterization of the polysaccharide from and its inhibitory effects on amylolytic enzymes and prebiotic activity.

In the current study, a new polysaccharide named Bletilla striata polysaccharide (BSP) with an average molecular weight ( ) of 85.4 kDa was obtained from The inhibitory effects of BSP on α-amylase and α-glucosidase, as well as its prebiotic properties, were determined. The results showed that BSP was a neutral polysaccharide and is composed of mannose, glucose, and galactose with a relative molar ratio of 3.

Oxygen vacancy-rich CoSn(OH)/FeS heterostructure-based microneedles for combinatorial cancer therapy via activation of ferroptosis and apoptosis.

Resistance to apoptosis-based cancer therapies severely limits treatment efficacy. Ferroptosis, a distinct form of regulated cell death driven by lipid peroxidation, offers a promising alternative to overcome such resistance. Herein, we developed an innovative microneedle patch system (CFA-MN) incorporating an oxygen vacancy-rich hollow CoSn(OH)/FeS (CF) heterostructure, combined with the alkyl radical initiator 1,2-bis(2-(4,5-dihydro-1Himidazol-2-yl)propan-2-yl) diazene dihydrochloride, to achieve cooperative apoptosis-ferroptosis cancer therapy.

Iron-cobalt dual atomic sites in N, P-codoped carbon nanobelts as a multifunctional catalyst for Zn-air/iodide hybrid batteries.

The exploration of high-performance and multifunctional catalysts is a key issue in Zinc-air/iodide hybrid battery (ZAIHB). In this study, iron‑cobalt dual atomic sites (DAS) embedded in a biomass-derived (N, P) heteroatom-codoped carbon nanobelt (NPCB) framework were designed as a multifunctional catalyst for ZAIHB. Theoretical analysis reveals that the structure matching on both dual-atomic-centers and local electronic engineering contribute to the promoted catalytic activities for oxygen and iodide redox reactions.

Engineering the electronic structure of Fe-MoO@PEG to increase sonodynamic and multi-nanozyme activities for anticancer therapy.

Both sonodynamic therapy (SDT) and nanozymes can be considered specialized forms of catalysis, which are related to the electron structure. In this work, Fe doping was employed to introduce electronic localization and spin polarization toward porous MoO nanospheres to improve the anticancer catalytic efficiency. All the Fe atoms are single-distributed to substitute for some lattice positions of Mo.

Thermal Stability of MXene: Current Status and Future Perspectives.

2D transition metal carbides and carbonitrides (MXene), as an emerging family of 2D nanomaterials, have been justified to possess unusual electrical, chemical and mechanical properties. However, the layered structure of MXene exhibits poor stability at elevated temperatures, which is ascribed to the oxidation induced by defects in transition metal layers and terminations. Therefore, despite the considerable potential of MXene in electric energy storage, sensor technology, and many other fields, its practical application under extreme conditions remains constrained.

Knockout of Enhances Soybean Seed Yield via Cytokinin-Mediated Cell Expansion and Lipid Accumulation.

Soybean is a dual-purpose crop for food and oil, playing a crucial role in China's grain production. Seed size and weight are key agronomic traits directly influencing the yield. Cytokinin oxidases/dehydrogenases (CKXs) specifically degrade certain isoforms of endogenous cytokinins (CKs), thereby modulating plant growth and seed development.

PCNA's dual legacy in ciliates: Conserved replication scaffold and lineage-specific genome architect.

Proliferating cell nuclear antigen (PCNA) is a central scaffold in eukaryotic DNA replication, repair, and epigenetic regulation. While its roles are well-characterized in canonical model organisms, ciliates, unicellular eukaryotes with nuclear dimorphism and programmed genome remodeling, offer unparalleled insights into PCNA's functional adaptability. Their unique biology, including replication-coupled DNA elimination, macronuclear amplification, and replication band dynamics, positions PCNA at the intersection of genome stability and plasticity.

A Framework Integrating GWAS and Genomic Selection to Enhance Prediction Accuracy of Economical Traits in Common Carp.

Common carp () is one of the most significant fish species worldwide, with its natural distribution spanning Europe and Asia. To conduct a genome-wide association study (GWAS) and compare the prediction accuracy of genomic selection (GS) models for the growth traits of common carp in spring and autumn at 2 years of age, a total of 325 carp individuals were re-sequenced and phenotypic measurements were taken. Three GWAS methods (FarmCPU, GEMMA, and GLM) were applied and their performance was evaluated in conjunction with various GS models, using significance levels based on -values.

Single-Atom Catalysts Dispersed on Graphitic Carbon Nitride (g-CN): Eley-Rideal-Driven CO-to-Ethanol Conversion.

The electrochemical reduction of carbon monoxide (COER) offers a promising route for generating value-added multi-carbon (C) products, such as ethanol, but achieving high catalytic performance remains a significant challenge. Herein, we performed comprehensive density functional theory (DFT) computations to evaluate CO-to-ethanol conversion on single metal atoms anchored on graphitic carbon nitride (TM/g-CN). We showed that these metal atoms stably coordinate with edge N sites of g-CN to form active catalytic centers.

Investigation of the physiological and molecular regulatory mechanism of soluble sugar metabolism in Mill. under cold stress.

Lavender ( Mill.) is a valuable aromatic plant with significant commercial importance. However, cold stress-one of the primary abiotic factors impacting sugar metabolism-adversely affects its agricultural productivity in Northeast China.

Metabolic versatility of Marinobacter and its biotechnological potential.

Bacteria belonging to the genus Marinobacter are Gram-negative, halotolerant or halophilic microorganisms. They are widely found in diverse marine and saline environments. These bacteria play crucial roles in the biogeochemical cycling of substances and energy in the global ocean.