Impact of Tartary Buckwheat Sprout Flour on Dough Rheological Properties and Quality of Cooked Noodles.

The growing consumer interest in functional and health-oriented foods prompted the incorporation of tartary buckwheat sprout flour (TBSF) into food production. The addition of TBSF enhanced the nutritional value of noodles. Research has shown that as the proportion of TBSF increased, both the water absorption rate and thermal stability of the dough improved, while formation time decreased and dough aging was inhibited.

Engineering Brønsted Acidic Microenvironments via Strong Metal-Support Interaction in Single-Atom Pd/CeO for Acid-Free Acetalization Catalysis.

Conventional acid-catalyzed acetalization faces significant challenges in catalyst recovery and poses environmental concerns. Herein, we develop a CeO-supported Pd single-atom catalyst (Pd/CeO) that eliminates the reliance on liquid acids by creating a localized H-rich microenvironment through heterolytic H activation. X-ray absorption near-edge structure and extended X-ray absorption fine structure analyses confirm the atomic dispersion of Pd via Pd-O-Ce coordination, while density functional theory (DFT) calculations reveal strong metal-support interactions (SMSI) that facilitate electron transfer from CeO oxygen to Pd, downshifting the Pd d-band center and optimizing H activation.

Exercise interventions and serum IGF-1 levels in older adults with frailty and/or sarcopenia: a systematic review and meta analysis.

Objective: Insulin-like growth factor-1 (IGF-1) is thought to play an important role in regulating skeletal muscle mass and function, with its decline potentially linked to age-related frailty and sarcopenia. Given the limitations of pharmacological and nutritional interventions, exercise may serve as a potential non-pharmacological strategy to modulate IGF-1 levels. The purpose of this study is to systematically evaluates the effects of exercise interventions on serum IGF-1 levels in older adults with frailty and/or sarcopenia using a meta-analysis approach.

Fabrication of ZIF/SiO hybrid particles to prepare cotton-based antibacterial and anti-biofilm composites with high durability.

As living standards continue to rise, the demand for advanced cotton textiles that fulfill enhanced functional requirements has grown significantly. Therefore, the development of multifunctional antibacterial/hydrophobic cotton fabrics holds considerable practical value. In this study, a zeolitic imidazolate framework (ZIF-8) based hybrid material, ZIF/SiO-LDS (Long-chain derivative of silane), was synthesized via a co-precipitation method using silica, zinc nitrate hexahydrate, 3-aminopropyltriethoxysilane (KH-550), 2-methylimidazole and hexadecyltrimethylsilane (HDTMS).

Highly Stretchable, Resistance-Stable, Conductive Liquid Metal Core-Sheath Fibers Enable Ultrastable and Supersensitive Physiological Monitoring.

Stretchable fiber conductors hold immense potential for revolutionizing wearable electronics, but most reported materials show a decline in conductivity after large strains, significantly hindering their widespread application. In this study, a new strategy for preparing high-performance stretchable conductive core-sheath fibers is proposed using a coaxial wet spinning technique. The inherent superior properties of both styrene-butadiene-styrene (SBS) and liquid metal (LM), along with their synergic interactions, provide robust support for the exceptional tensile characteristics (1860.

Cationic-Zwitterionic Polymer Electrolytes with Enhanced Ionic Conductivity and Lithium-Ion Selectivity for Solid-State Batteries.

Polymer electrolytes are attractive for solid-state lithium-metal batteries owing to their favorable interfacial compatibility and scalable processability. However, the concurrent realization of high ionic conductivity and a high lithium-ion transference number remains a significant key challenge. Herein, we report a class of cationic-zwitterionic polymer electrolytes that simultaneously exhibit high ionic conductivity and enhanced lithium-ion selectivity.

Aggregate based light incremental sharding for efficient embedding table management for recommender systems.

This work develops a novel method for efficient dynamic embedding table sharding during recommendation inference. Although existing works have developed various sharding methods to reduce network overhead, they often focus on training-centric approaches and overlook inference-specific challenges such as evolving co-occurrence patterns and latency sensitivity. As such, these methods can be suboptimal for real-time recommendation inference scenarios.

Integrated Microbiome-Metabolome Analysis and Functional Strain Validation Reveal Key Biochemical Transformations During Pu-erh Tea Pile Fermentation.

Fermentation plays a pivotal role in shaping the flavor and overall quality of Pu-erh tea, a microbially fermented dark tea. Here, we monitored physicochemical properties, chemical constituents, and microbial succession at 15 fermentation time points. Amplicon sequencing identified , , , , , , and as dominant genera, with prokaryotic communities showing greater richness and diversity than eukaryotic ones.

Traditional and photocatalytic conversion of aniline into azocompounds - a comprehensive experimental and theoretical review.

The catalytic conversion of aniline into azo compounds represents a significant and versatile route in synthetic organic chemistry, with applications spanning dyes, pharmaceuticals, and functional materials. This comprehensive review systematically examines recent advances in catalytic strategies for azo bond formation from aniline derivatives, encompassing homogeneous, heterogeneous, enzymatic, and photo-redox catalysis. Key mechanistic pathways, including oxidative coupling, dehydrogenative aromatization, and redox processes, are critically analyzed.

Research on the Combined Antibacterial and Wound-Healing Effects of Oxygen-Carrying Hydrogel Photodynamic and Photothermal Therapy-Targeting Biofilms.

Biofilms present a significant obstacle in the treatment of bacterial infections, because of their ability to evade the host immune response and to resist conventional antibacterial drugs. This study introduces an innovative approach to overcoming these challenges by targeting the biofilm microenvironment using a multifunctional therapeutic platform. The platform leverages perfluorohexane (PFH) as an oxygen carrier to alleviate the multifunctional therapeutic platform.

Feasibility study of a novel wearable sweat sensor for anaerobic threshold determination.

Lactate anaerobic threshold has been a commonly used metric in the field of training monitoring, however its invasiveness has been overwhelming. Therefore, this study utilized sweat sensors to monitor Na and K in sweat to investigate the possibility of using sweat for anaerobic threshold monitoring. Fifty-five subjects were asked to complete an incremental load riding test.

Large-scale and continuous production of sodium alginate/MWCNTs axial heterogeneous fibers moisture-electric generator with visual identification of acid/alkali gases.

Moisture electricity generator (MEG) is a green and environmental-friendly energy harvesting technology, and the ubiquitous presence of moisture makes it a strong competitor for mobile power. Among the available structural forms, fibrous MEG with engineered tunability and high integrality are perhaps one of the most promising solutions. However, the continuous preparation of fibrous MEG limits their scale-up production and commercial application.

Porous MgO-supported Ba-Cs-Ru/MgO catalysts for superior NH synthesis and the effect of Ru loading on dispersion of Ru and promoters.

Porous MgO support through MDCPy is used to prepare superior Ba-Cs-Ru/MgO NH synthesis catalysts with better activity than MgO from other methods. Based on the effect of Ru loading on the dispersion of Ru and promoters, the optimal catalyst exhibits a 2.2 nm Ru@subnano-BaCsO quasi-core-shell site.

A multi strategy bidirectional RRT* algorithm for efficient mobile robot path planning.

To address the issues of slow convergence speed and poor path quality of the traditional Rapidly-exploring Random Tree Star (RRT*) algorithm in complex environments, this paper proposes a Multi Strategy Bidirectional RRT* (MS-BI-RRT*) algorithm for efficient mobile robot path planning. In the new node generation phase, an expansion mode scheduling mechanism based on dynamic goal bias probability and expansion feedback is designed to enable adaptive switching among multiple expansion modes, thereby improving expansion efficiency. Meanwhile, a dynamic step size adjustment method based on local obstacle density is introduced to enhance expansion stability.

Engineering the Interfacial Charge Transfer Dynamics by Plasmonic S-Scheme Heterojunctions for Machine-Learning-Assisted Dual-Mode Immunoassays.

The development of photoelectrochemical (PEC)-coupled dual-mode biosensors, combined with multivariate regression analysis, is pivotal for advancing point-of-care disease marker diagnostics. Herein, we present a machine learning (ML)-powered dual-channel immunoassay. This platform integrates plasmonic TiO@NH-MIL-125/Au S-scheme photoelectrode with nanoconfined fluorescent CdSe@ZIF-8 probes.

Stabilizing Lattice Oxygen in Li-Rich Layered Cathodes by Boron-Doping Induced Anchoring Effect.

Li-rich Mn-based layered oxides (LRMLOs) have emerged as promising cathode candidates owing to their exceptional specific capacity (>300 mAh/g), high energy density (>1000 Wh/kg), and elevated operating voltages (>3.5 V vs Li/Li). Nevertheless, the sluggish kinetics and poor reversibility of oxygen anion redox reactions fundamentally limit their practical implementation.

Balancing nitrogen metabolism to efficiently drive anti-tuberculosis ilamycins biosynthesis in Streptomyces atratus.

The deep-sea-derived Streptomyces atratus SCSIO ZH16 is a promising host for producing nanomole-level anti-tuberculosis ilamycins. However, limited research on regulating the ilamycins biosynthetic gene cluster (BGC) has hindered industrial production. Our previous study found that nitrogen metabolism-related genes were upregulated in strains with enhanced ilamycins production.

Ultrathin Elastomer Nanofiber-Based Skin-Like Electronic with Multi-Mode Sensing Capabilities.

The development of skin-like multimodal electronic devices (SMED) is pivotal for advancing humanoid robotics and wearable technologies, enabling seamless interaction with and perception of complex environments. However, integrating comprehensive sensing capabilities with multifunctionality, while maintaining superior permeability, biocompatibility, and wearer comfort, remains a significant challenge. Here, a SMED platform capable of detecting multiple external stimuli (i.

Consumer willingness to pay for green express packaging in e-commerce: an eye-tracking experiment analysis.

With the rapid development of e-commerce, packaging waste has surged, making green express packaging (GEP) a key component of sustainable logistics promotion. This study investigates the influence of product types (search goods vs. experienced goods), price sensitivity, and environmental awareness on consumers' willingness to pay for GEP.

Numerical Investigation of Drop Impact on Immiscible Liquid-Liquid Interfaces.

In this paper, we numerically investigate the levitation behaviors of a drop impacting an immiscible liquid-liquid interface, disregarding the influence of gravitational acceleration. Through energy budget analysis, we elucidate that the phenomenological model proposed by Sanjay et al. (, vol.

Numerical Analysis of Temperature Rise Characteristics of Parallel Serpentine Channel Lithium Battery Modules.

With the widespread application of lithium-ion battery energy storage systems and electric vehicle power batteries, optimizing liquid cooling systems to effectively manage heat and prevent thermal runaway has become crucial for enhancing the safety and efficiency of energy storage systems. Addressing issues of cooling efficiency and uneven temperature distribution in battery packs, this study designed a parallel serpentine channel liquid cooling plate to improve coolant flow efficiency and heat exchange capacity by optimizing the channel structure. The temperature distribution of the battery pack under different discharge rates (1, 1.

Research Progress and Application Scenarios of Wire + Arc Additive Manufacturing: From Process Control to Performance Evaluation.

In recent years, with the innovation and continuous development of additive manufacturing technology, research on wire arc additive manufacturing technology (WAAM) has become increasingly common and in-depth in the chemical industry, mold manufacturing, and other fields. Therefore, it has attracted the attention of many universities, research institutes, and aerospace industries, conducted in-depth research on WAAM technology, and achieved certain research results. This paper briefly summarizes the current research status of arc additive manufacturing technology and summarizes the application status of WAAM technology in product development, personalized customization, traditional process replacement, "material-structure-function" integration, mold repair, etc.

Environmental impact of brine and cooling water mixing ratios on marine water quality and biota: a comparative field study.

The co-discharge of brine and cooling water is widely regarded as a preferred method for desalination brine disposal. However, existing research on the effectiveness of this approach primarily relies on software simulations, with limited studies addressing its impact in real marine environments. This study conducted a field investigation to evaluate the effects of co-discharge of brine and cooling water on water quality, plankton, and macrobenthic organisms in the receiving marine ecosystem.

Synthesis of ZIF-8 Coated MnO Functionalized Antibacterial Peptide Nanoparticles and Its Antibacterial and Wound-Healing Promotion Studies.

Antibiotics, a milestone invention in modern medicine, have significantly improved human quality of life and serve as a primary weapon against bacterial infections. However, antibiotic abuse has led to the emergence and worsening of bacterial resistance, now a major global public health challenge. Therefore, the efficient use of nanoscale antimicrobial peptides (APs) as therapeutic and diagnostic agents offers a novel strategy to replace conventional antibiotics.

Finite-time fault-tolerant tracking control for a QUAV with mixed faults and external disturbances based on adaptive global fast terminal sliding mode neural network control method.

This paper addresses the finite-time tracking control problem for a class of quadrotor unmanned aerial vehicle (QUAV) subject to unknown mixed faults and external disturbances. The considered mixed faults include both input quantization and actuator faults. First, radial basis function neural networks (RBFNNs) are employed to approximate the unknown nonlinear dynamics of the QUAV system, with adaptive control laws designed for online weights updates.