Suppression of passivation on NiMoO4 microrod by ultrathin metal-organic-framework nanosheets in urea-assisted natural seawater splitting.

Organic nucleophile-assisted natural seawater electrolysis has emerged as a promising strategy for green hydrogen production by significantly reducing energy consumption. Among Ni-based electrocatalysts, NiMoO has drawn attention for its activity in both oxygen evolution reaction (OER) and urea oxidation reaction (UOR). However, its practical application is hindered by severe surface passivation, particularly at industrial current densities (e.

Integrating multiple microRNA functional similarity networks for improved disease-microRNA association prediction.

MicroRNAs (miRNAs) play a critical role in disease mechanisms, making the identification of disease-associated miRNAs essential for precision medicine. We propose a novel computational method, multiplex-heterogeneous network for MiRNA-disease associations (MHMDA), which integrates multiple miRNA functional similarity networks and a disease similarity network into a multiplex-heterogeneous network. This approach employs a tailored random walk with restart algorithm to predict disease-miRNA associations, leveraging the complementary information from experimentally validated and predicted miRNA-target interactions, as well as disease phenotypic similarities.

Tactile force sensor based on a modified acoustic reflection principle for intraoperative tumor localization in minimally invasive surgery.

Purpose: Localization of abdominal tissue, such as tumors, in minimally invasive surgery (MIS) is crucial but challenging due to the lack of tactile sensation. This study aims to develop a tactile force sensor that provides tactile sensation for surgeons, enabling accurate tumor localization while ensuring surgical safety.

Methods: This study proposes an acoustic reflection-based tactile force sensor, with preliminary theoretical analyses and fundamental experiments performed to assess its response to applied forces.

Dual Detection of Glucose Using Commercial Potassium Permanganate and Glucose Oxidase: Colorimetric and Absorbance-Based Approaches.

Accurate and accessible glucose detection is essential for clinical diagnostics, point-of-care testing, food safety, and biosensing applications. In this study, we present a simple, scalable, and dual-mode glucose sensor that integrates commercial potassium permanganate (KMnO) with glucose oxidase to enable sensitive and selective detection in the clinically critical range of 1-5 mM. Leveraging the strong oxidative power and distinct optical characteristics of KMnO, the sensor operates via both absorbance measurement at 400 nm and visual colorimetric analysis, displaying a clear color change from purple to pink and yellow upon reaction with glucose.

Magnesium chelation of low molecular weight peptides from protein-rich industrial wastes: Production and properties.

Magnesium chelating is considered a promising method to increase Mg uptake, thus fight against the prevalent case of Mg deficiency. In this study, hydrolysates and peptide fractions from spent brewer's yeast (SBY) and soybean meal (SBM) were evaluated for the magnesium chelating ability. Despite the similar amino acid profile and protein concentration, SBY hydrolysate showed superior chelating yield than that of SBM.

E-TBI: explainable outcome prediction after traumatic brain injury using machine learning.

Traumatic brain injury (TBI) is one of the most prevalent health conditions, with severity assessment serving as an initial step for management, prognosis, and targeted therapy. Existing studies on automated outcome prediction using machine learning (ML) often overlook the importance of TBI features in decision-making and the challenges posed by limited and imbalanced training data. Furthermore, many attempts have focused on quantitatively evaluating ML algorithms without explaining the decisions, making the outcomes difficult to interpret and apply for less-experienced doctors.

How does GenAI reinforce higher education students' digital entrepreneurship? The curvilinear roles of perceived digital entrepreneurial desirability and feasibility.

Generative Artificial Intelligence (GenAI) is reshaping digital entrepreneurship by altering how individuals perceive and pursue new ventures. This study integrates GenAI adoption into the Entrepreneurial Event Model to examine its influence on perceived desirability, feasibility, and entrepreneurial intention. Using stratified random sampling, data from 1061 Vietnamese university students were analyzed via polynomial regression and response surface analysis.

Strain-driven phase transition in porous 2D AST-crystalline sheets: insights from DFTB+ simulations.

The emergence of two-dimensional (2D) materials, particularly in the form of nanosheets, has attracted significant attention due to their extraordinary properties that differ markedly from those of their bulk counterparts. Among these materials, zinc oxide (ZnO) stands out for its highly tunable electronic, optical, and mechanical properties. However, understanding strain-induced phase transitions in few-layer systems remains a critical challenge, especially in nanoporous ZnO architectures.

Improving computational drug repositioning through multi-source disease similarity networks.

Computational drug repositioning seeks to identify new therapeutic uses for existing or experimental drugs. Network-based methods are effective as they integrate relationships among drugs, diseases, and target proteins/genes into prediction models. However, traditional approaches often rely on a single phenotype-based disease similarity network, limiting the diversity of disease information.

Genome report of a probiotic strain isolated from healthy human feces in Vietnam.

This report presents the genome sequence of strain Eramic25, isolated from the fecal sample of a healthy adult in Vietnam. Genome analysis confirms its safety and reveals genes associated with probiotic characteristics, supporting its potential application in functional foods and human health.

Enhanced lead accumulation in cassia bark linked to lichen and algae: A case study from Northern Vietnam.

High lead (Pb) levels in cassia products pose a significant threat to both the global spice supply chain and public health. Addressing this critical issue, our study investigates Pb accumulation within the soil-cassia system in Northern Vietnam, a major cassia-producing region. Soil and cassia samples were collected from six key cassia-growing regions along the Red River, and their compositions and properties were systematically evaluated.

Electrically conductive metal-organic framework-based electrocatalysts: from synthesis strategies to catalytic applications.

Over the past few decades, metal-organic frameworks (MOFs) have aroused significant interest as promising electrocatalysts for energy-related reactions. However, despite their potential, current research remains far from meeting commercial requirements due to inherent challenges, including limited electrical conductivity and low chemical stability. In this context, researchers are increasingly focusing on conductive metal-organic frameworks (c-MOFs) that exhibit a combination of efficient charge transport and high porosity, offering unprecedented properties for constructing highly active and stable electrocatalysts.

Multi-head deep Q-learning for continuous beamforming with selective MC-CDMA operation in V2X highway communications.

This study investigates a large-scale dynamic Vehicle-to-Everything (V2X) communication network, in which multiple Roadside Units (RSUs) are deployed along highways to enable high-speed vehicular links. To ensure robust and adaptive performance under fast-varying conditions, we propose an integrated framework that combines resource block-based MC-CDMA modulation with dynamic beamforming optimized for complex propagation environments. A custom code mapper and resource element (RE) allocator are introduced to support interference-aware transmission and enhance signal robustness in dense deployment scenarios.

Integrating diffusion models and molecular modeling for PARP1 inhibitors generation.

Molecule generation is a critical task in drug discovery, with growing interest in using deep learning to design new compounds. In this study, we propose a novel approach to generate potential PARP1 inhibitors by combining diffusion-based generative models with molecular modeling techniques. Starting from the ZINC20 database, we used diffusion models to create new compounds and applied a predictive model to estimate their PARP1 inhibitory activity.

Reduced graphene oxide-based absorbance biosensors for detecting Escherichia coli DNA.

Escherichia coli represents a significant concern for food safety, water quality, medical applications, and environmental health, necessitating effective detection methods. This study presents a reduced graphene oxide-based biosensor for the sensitive and specific detection of E. coli DNA.

Enrichment of γ-NiOOH in ultrathin metal-organic framework nanosheet arrays by linker engineering for urea-assisted natural seawater electrolysis.

Metal-organic frameworks have been widely considered a potential alternative for noble metal catalysts for green hydrogen from seawater electrolysis, yet their performance is often limited by low activity and poor stability. Here, we propose a linker engineering strategy to optimize the phase composition of ultrathin Ni-MOF nanosheet arrays, aiming to enhance both activity and stability. We found that partial substitution of terephthalic acid (BDC) with electron-withdrawing tetrafluoroterephthalate (TFBDC) ligand alters the electronic structure and significantly promotes the formation of the catalytically active γ-NiOOH phase in Ni-TFBDC-2.

Stable Iminium Singlet and Triplet Diradical(oid)s with Intense NIR-II Absorptions.

This study presents the successful synthesis of a series of stable iminium diradical(oid)s. CNR1OTf, CNR2OTf, and CNR3OTf can be readily prepared by treating their corresponding methoxy precursors with triflate acid. Remarkably, they all display excellent stability under light and ambient conditions.

Dual deep red and far red emitting Cr-doped garnet-perovskite based phosphors with excellent responsiveness to P for plant growth LED lighting.

Cr-activated phosphors, with their 3d electronic configuration, efficiently absorb blue/violet light and emit deep to far-red wavelengths, perfectly matching the optimal absorption bands for plant growth. In this work, we report the synthesis of YAlO-YAlO:1.3%Cr (YAG-YAP:Cr) phosphors exhibiting a broad emission spanning deep to far-red light, closely aligned with the far-red phytochrome (P) absorption spectrum in plants.

Theoretical Study on the HCNO + CH Reaction: Mechanism and Kinetics.

Context: The reaction between HCNO and CH is of relevance in environments such as combustion and atmospheric chemistry, where both species are known to coexist. In this study, we report the reaction mechanism and kinetics of their gas-phase reaction. The reaction proceeds via the addition of CH to the carbon atom of HCNO, forming a pre-reaction complex (COMP) and a low-lying transition state (T0/1) that leads to a key intermediate (IS1).

Eco-Friendly Synthesis of Carboxymethyl Cellulose-DTPA-Incorporated Lettuce Leaves for Lead Decontamination: Modeling, Economic Evaluation, and Practical Wastewater Treatment.

The development of environmentally friendly materials for the efficient elimination of heavy metals is both ecologically and economically important. In this study, lettuce leaves (LC), a low-cost agricultural byproduct, were modified using carboxymethyl cellulose (CMC) and diethylenetriaminepentaacetic acid (DTPA) to create a biomaterial aimed at removing Pb ions. The synthesized LC/CMC-DTPA was ascertained through Fourier transform infrared spectroscopy (FT-IR), thermogravimetric analysis (TGA), scanning electron microscopy (SEM), zeta potential, and X-ray diffraction (XRD).

Fabrication of Titanium Nitride Thin Film on Titanium Using Cathodic Arc Plasma Evaporation for Biomedical Application.

Commercially pure titanium (Cp-Ti) is often used for biomedical implant devices but has low hardness and wear resistance; therefore, it is not suitable for use in the sliding parts or joints. Owing to their good wear resistance and biocompatibility, titanium nitride (TiN) coatings are used to improve these surface properties of Ti. This study aims to fabricate TiN on Cp-Ti by cathodic arc plasma evaporation and to investigate the effect of Cp-Ti substrate temperature on the properties of coated TiN thin films for biomedical applications.

Design of New Primer Sets for the Development of a Loop-Mediated Isothermal Amplification for Rapid Detection of .

is a pathogenic bacterial agent that causes meningococcal meningitis in humans. Developing a rapid and low-cost detection method is crucial, especially for developing countries. This study focuses on the development of an efficient loop-mediated isothermal amplification (LAMP) method for accurate identification.

Environmentally friendly fabrication of Ag nanoparticles decorated on g-CN for enhancing the photodegradation of RhB.

This work presents an eco-friendly method for the preparation of a silver nanoparticle (AgNP) decorated g-CN nanocomposite using purple leaf extract as a green reduction agent. The photocatalytic performance of the resulting nanocomposite was studied through the degradation of rhodamine B (RhB) dye pollution in an aqueous solution. X-ray diffraction analysis of powder samples revealed the coexistence of face-centered cubic AgNP crystalline and g-CN structures, with a slight shift in the dominant diffraction peak (002) of g-CN, indicating successful incorporation of AgNPs.

Broadly tunable full-visible-spectrum ZnS/ZnO:Mn composite microphosphor for warm WLED applications.

Phosphor development for warm white LEDs (w-WLEDs) is key to enhancing light quality, energy efficiency, stability, and environmental sustainability. Mn-doped phosphors, known for their broad visible emission, are especially promising for UV-pumped w-WLEDs. While halide and garnet systems show potential, they suffer from toxicity and complex synthesis, making ZnO and ZnS attractive, stable alternatives.

A non-enzymatic doxycycline absorbance sensor based on manganese-doped zinc sulfide nanoparticles coated with chitosan.

The need for doxycycline detection is urgent because it is a vital antibiotic extensively utilized to combat bacterial diseases in humans and animals, and it is now at the forefront of the global battle against antibiotic resistance. Our research introduces an absorbance biosensor that employs chitosan-capped ZnS nanoparticles doped with manganese without an enzyme to address this critical need. Our study highlights the sensor's robust performance with nearly 100% recovery and stability over time to detect doxycycline from 0 to 72.