Lac Hong University

A multifunctional advanced material that integrates antibacterial activity, anti-inflammatory effects, and tissue regenerative capability represents a highly effective platform for the treatment of infected wounds. Among various candidates, in situ–forming hydrogels have gained significant attention owing to their favorable physicochemical characteristics and biological performance. Chromolaena odorata (CO) leaves, traditionally used for their antibacterial and wound healing effects, contain abundant phenolic and polyphenolic compounds that also enable them to function as effective reducing and capping agents for silver nanoparticle (AgNPs) synthesis. In this study, we developed a multifunctional thermoresponsive nanocomposite hydrogel by incorporating AgNPs and CO extract into a chitosan-based polymer matrix. This integration improved the mechanical robustness of the system and conferred multiple bioactivities, including antioxidant, antimicrobial, anti-inflammatory, and cell proliferative effects, while preserving its injectability and temperature-triggered gelation behavior. The hydrogel demonstrated enhanced proliferation of human fibroblasts, strong free-radical scavenging capacity, and potent antibacterial activity against both Staphylococcus aureus and Pseudomonas aeruginosa. These findings support the potential of this multifunctional hydrogel platform for further development and application in the treatment of infected skin wounds.

Smart agriculture requires forecasting tools that remain reliable under resource constraints, because water, fertilizer, energy, and labor pressures make environmental control both an agronomic and an economic problem. This study tests the hypothesis that, for short-horizon temperature–humidity forecasting in a controlled cultivation microclimate, low-complexity linear and regularized linear models can outperform more complex alternatives when the monitored signal is stable and near-linear. Confirming this hypothesis would support lower-cost and more interpretable deployment pathways, whereas rejecting it would justify the additional calibration and computational burden of higher-capacity models. To examine this question, we conducted a comparative evaluation of ten regression families using a continuously collected laboratory microclimate dataset and an external benchmark under a uniform validation framework. Linear and ridge regression achieved the most balanced overall performance, showing that model suitability depends less on algorithmic sophistication than on compatibility with the underlying data regime. The main interdisciplinary contribution of the study is the integration of microclimate sensing, comparative machine-learning evaluation, and deployment-oriented techno-economic reasoning within a single model-selection framework. The main business opportunity lies in low-cost decision-support systems for irrigation timing, microclimate monitoring, and input-use optimization in greenhouse and controlled-cultivation operations, especially in resource-constrained settings. However, the present study should be interpreted as proof of method rather than full commercial validation; financial benefits were not directly quantified and should be established through future field trials that measure installation cost, energy demand, maintenance burden, and savings in water, fertilizer, and labor across crops, climates, and regulatory settings.

Natural enzymes play a crucial role in organic synthesis, biological processes, and pharmaceutical applications due to their high catalytic efficiency and compatibility with green chemistry principles. However, their practical use is often limited by complex synthesis and purification processes, difficulty in storage, and sensitivity to harsh environmental conditions. To address these challenges, artificial enzyme-like nanomaterials have attracted increasing attention as robust and cost-effective alternatives. In this study, a biomimetic catalytic system (Fe-GeHe) was developed by coating magnetic Fe₃O₄ nanoparticles with (3-trimethoxysilyl)propyl-ethylenediamine (TSPED), followed by functionalization with a gelatin–hematin complex to impart peroxidase-like activity. The structural and physicochemical properties of the synthesized catalyst were comprehensively characterized using Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), vibrating-sample magnetometry (VSM), dynamic light scattering (DLS), and transmission electron microscopy (TEM), confirming the successful functionalization while preserving the crystalline structure and magnetic properties of the Fe₃O₄ core. The enzyme-mimicking oxidative activity of the Fe-GeHe catalyst was evaluated using rutin and 2,2′-azino-bis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) assays. The catalytic system demonstrated effective peroxidase-like activity in the presence of hydrogen peroxide. Notably, the Fe-GeHe nanocatalyst enabled the oxidative coupling of resveratrol to form resveratrol dimer, a bioactive compound known for its potent antioxidant properties and potential protective effects against cardiovascular diseases and certain cancers. The conversion of resveratrol monomers to the corresponding dimer increased progressively with reaction time, reaching a maximum conversion efficiency of 22

Growing concerns regarding environmental and energy challenges have substantially contributed in the development of efficient and sustainable PWS (photocatalytic water splitting) techniques has been greatly aided by. Beyond enormous photocatalytic materials, CPs (coordination polymers), which are made from metal nodes and organic linkers, have demonstrated extensive potential because of their structural tunability, suitable Eg (energy bandgap) energies, and ability to enable efficient charge separation. High surface areas, dual active sites, a variety of pore architectures and tunable functionalities are some of the distinctive structural features of CPs that cooperatively enhance light harvesting, enable photoinduced charge carrier separation and transport, and promote efficient interaction between catalytic sites and water molecules. These characteristics play a major role in upgrading the overall functioning of PWS systems. In this review, we first examine the detailed molecular structure of CPs using a computational approach. Following this, the classification of CPs is presented, with a particular emphasis on different metal-centered frameworks, dimensionality, and porosity, along with modification strategies. These metals are of particular interest due to favourable redox properties, variable coordination geometries, and strong light absorption capabilities. Moreover, the role of different ligands and heterojunction in CPs have been explored. The construction of heterostructures based on these metals facilitates efficient charge separation, which is critical for effective photocatalytic applications. Additionally, the mechanism of photocatalytic OWS (overall water splitting) has been discussed, with an emphasis on the fundamental processes of light absorption, photocarriers separation, and surface redox reactions involved in H2 and O2 evolution. Besides this, we also provided a brief overview of the role of interfacial defects, active sites, and co-catalysts, as well as the unique advantages of CPs in photocatalysis. In addition, recent applications of CP-based photocatalysts for PWS are highlighted, with particular attention to mechanistic insights and performance. Finally, the review summarised by outlining the key disputes and future research directions for advancing CP-based photocatalysts in OWS applications.

A business not only seeks opportunities and profits but also must help ensure a reasonable life for its employees. Only then can we develop sustainably, and applying corporate social responsibility will help businesses do better and provide and prove to customers and society that companies are responsible to workers and the environment. Therefore, the study aims to determine how critical corporate social responsibility factors affect job satisfaction, work motivation, and employee commitment and propose ways to help businesses develop appropriate business strategies for tourism enterprises in Vietnam. Based on the study goal, the methodology used in the study is to survey 900 employees working at 30 tourism enterprises in 3 provinces and 2 cities in Vietnam. The article applies structural equation modeling to explore five critical factors of corporate social responsibility and uses results to help tourism enterprises maintain workers. The main results showed thatfive crucial corporate social responsibility factors affected job satisfaction, work motivation, and employee commitment, including labor relations, work-life balance, dialogue, safety and health, training and development. Finally, the study's contributions proposed five suitable policy recommendations for enhancing job satisfaction, work motivation, and employee commitment in Vietnam's tourism enterprises.