Abstract Material science could be considered as an emerging route for finding suitable catalysts applying in different fields. In this investigation, LaNiO 3 was prepared by co‐precipitation. The influence of the heat treatment conditions (temperature and duration) on potential LaNiO 3 perovskite material was presented herein this report. The characteristic properties of LaNiO 3 were elucidated via several techniques, including XRD, EDS, SEM, HR‐TEM, H 2 ‐TPR, CO 2 ‐TPD, and isotherm N 2 adsorption. CO 2 methanation was used as a means for measuring the catalytic applicability of the studied materials. The results showed that the thermal stability of the perovskite material prohibited the growth of crystallite sizes and prevented the crystallite sizes from significantly changing. Nevertheless, the variation of temperatures and durations in calcination and reduction processes led to different H 2 consumption behavior and CO 2 desorption amounts. The reduction conditions were found to have a significant impact on the catalytic activity of reduced LaNiO 3 in CO 2 methanation, which might have a close correlation to the basicity of as‐reduced LaNiO 3 . The research results determined that the most appropriate calcination and reduction conditions of LaNiO 3 to produce the best Ni/La 2 O 3 catalyst are 650 °C (2 h) and 500 °C (2 h), respectively. Findings confirmed that via the co‐precipitation method and moderate temperatures, it was possible to prepare a highly dispersed Ni catalyst, dispersed on La 2 O 3 /La(OH) 3 of relatively large specific surface area, possessing high oxygen vacancies and high basicity provides activity comparable to the best referenced perovskite‐based catalysts. This work laid a useful foundation for further improvement in the synthesis method and changing the catalyst composition to create perovskite catalysts with high methanation efficiency.

Abstract Assessing the origin and quality of groundwater is essential for economic development in an area where groundwater is already a significant supply source. The analytical data set for this study consisted of 14 groundwater samples taken from the shallow aquifer near the Long Thanh International Airport in Binh Son Ward, Long Thanh District, Dong Nai Province, Vietnam. Multivariate analysis was used to process the data, and the water quality index (WQI) was estimated to ascertain whether the groundwater samples were fit for human consumption. Three different water types were identified by the hierarchical cluster analysis employing average linkage, with mineralization rising from cluster 1 to cluster 2 during the wet and dry seasons. Four main components were extracted from the principal component analysis by using the Varimax technique. The first (PC1) indicated the influences of geochemical processes. The second, third, and fourth (PC2, PC3, and PC4) were associated with anthropogenic activities. Besides, based on WQI estimates, which vary from 15.81 to 35.78, the area's groundwater quality is categorized as good to excellent. The significance of the mean differences in GWQI between locations and seasons was investigated using one‐way analysis of variance (ANOVA; p = 0.05). According to the findings, there were only minor variations in the means of WQI between the seasons of wet and dry, with p < 0.05.

Abstract Electrochemical catalysis and photocatalysis have garnered significant attention from scientists over the past decade. Recent investigations have explored the use of electrochemical catalysis and photocatalysis to enhance the catalytic activity of nanomaterials. In this review, we provide a basic overview of the relationship between photocatalysis and electrochemical catalysis within the class of nanomaterials. Additionally, we discuss nanocatalysts and their applications, along with the challenges and future prospects of nanomaterials in electrochemical performance.

Abstract The accurate prediction of molecular properties and reaction outcomes has long been a main topic of research in computational chemistry. In this work, we explore the synergy between various molecular features and molecular fingerprints to enhance the predictive power of machine learning models for these tasks. Leveraging several machine learning frameworks, we systematically trained and evaluated models using different combinations of features to identify those that offer optimal predictive performance. The combination of diverse molecular features and molecular fingerprints demonstrated a marked improvement in predictions, providing deeper insights into the intricate relationship between molecular structure and its associated properties or reactions. To facilitate the practical application of these findings, we developed a user‐friendly interface, streamlining the process of feature extraction and model prediction. This research underscores the importance of feature engineering in cheminformatics and the potential of machine learning to enhance our predictive capabilities for complex molecular behaviors.

Abstract Two new compounds, miliutine D methyl ester ( 1 ) and miliutine E methyl ester ( 2 ), along with three known compounds, methyl‐(2 E ,6 E )‐10‐oxo‐3,7,11‐trimethyldodeca‐2,6‐dienoate ( 3 ), buddlenol E ( 4 ), and 3‐methoxy‐4‐hydroxyphenylglycol ( 5 ), were isolated from the stems of Miliusa velutina for the first time. The structures and relative configurations of compounds 1 and 2 were determined through HR‐ESI‐MS and NMR analysis. Three extracts ( n ‐hexane, ethyl acetate, and methanol) exhibited notable activities with IC 50 values of 28.4, 40.7, and 35.9 µg/mL, respectively (acarbose, positive control, IC 50 = 122.9 µg/mL). Meanwhile, the new compound, miliutine D methyl ester ( 1 ), showed strong activity with an IC 50 value of 17.8 µM (acarbose, positive control, IC 50 = 190.6 µM).

Abstract The most impressive antimicrobial and cytotoxic effects were seen in an extract of Myxococcus stipitatus strain GL41 (Accession number ON076907), one of the myxobacterial strains found in Vietnam. The compounds were purified and structurally elucidated by the HR‐ESI‐MS and NMR spectroscopy data. They were 3‐indol aldehyde ( 1 ), 4‐quinolylaldoxime ( 2 ), and althiomycin ( 3 ) that were structured by the substituted indole ring, quinoline ring, and thiazole moiety embedded in a macrolide core, respectively. Like the Myxococcus genus, M. stipitatus is closely related to soil habitats. However, its secondary metabolites have yet to be well reported, compared to 20% of metabolites determined from Myxococcus members in general. The natural products were tested for biological activities: all exhibited significant activity against Gram‐positive bacteria; ( 1 ) and ( 2 ) showed weak to moderate antifungal properties; whereas compound ( 2 ) exhibited moderate cytotoxic effects in vitro , inhibiting the growth of MDA‐MB‐231 cell line. These three compounds were first isolated in M. stipitatus . The docking results were consistent with the cytotoxic effects of isolated compounds on MDA‐MB‐231, among which, 3‐indole aldehyde could be regarded as a promising treatment for breast cancer.

Abstract This study endeavors to harness electrical energy from discarded materials. We developed a triboelectric nanogenerator (TENG) employing the waste plastic petri dish as the negative triboelectric material and the waste food packaging aluminum foil as the positive triboelectric material. By manual tapping to TENG at a frequency of 3 Hz, a short‐circuit current and open‐circuit voltage of approximately 2.5 µA and 5 V were measured, respectively. When connected to a 500 kΩ resistor, TENG achieved a peak power density of 35 nW/cm 2 . To better understand the TENG mechanism, a simulation model was also applied. Notably, the direct operation of two LEDs and the display of a stopwatch via a capacitor highlight the potential of TENG to power portable electronics. This research contributed to environmental remediation and holds promise for generating renewable and sustainable energy.

Abstract The increasing demand for lithium‐ion batteries (LIBs) highlights the critical importance of electrolyte design in ensuring both electrochemical performance and safety. Limitations associated with conventional liquid electrolytes have driven the development of solid‐state electrolytes (SSEs) as a promising alternative to enhance operational safety and extend battery lifespan. This study focuses on the development and optimization of solid polymer electrolytes (SPEs) based on PEO/PVdF/LiBOB systems, with varying PEO:PVdF weight ratios (10:0, 9:1, 8:2, 7:3, 6:4) and succinonitrile (SN) concentrations (0–25%). Results show that a PEO:PVdF ratio of 7:3 achieves the best balance of mechanical strength, flexibility, and electrochemical performance. Increasing SN content reduces PEO crystallinity, leading to enhanced ionic conductivity—from 1.83 × 10 −5 to 7.23 × 10 −5 S/cm at 25 °C and from 1.09 × 10 −4 to 1.79 × 10 −4 S/cm at 60 °C—while maintaining high oxidative stability. When employed in Li||LFP cells, SPEs with 15 and 20% SN demonstrate stable cycling at 0.1C, achieving coulombic efficiencies above 99% and capacity retentions of 85.4% (165.3 mAh/g) and 90.8% (170.1 mAh/g) after 100 cycles, respectively. These findings underscore the potential of the developed SPEs for next‐generation LIB applications.

Abstract Tires are a significant source of environmental contaminants, releasing a range of emerging chemical contaminants into surrounding ecosystems. In this study, we developed and optimized a highly sensitive analytical method using liquid chromatography‐tandem mass spectrometry to detect seven specific tire related compounds: 1 H ‐benzotriazole (BTR), 5‐methyl‐1 H ‐benzotriazole (5‐MBTR), 2‐aminobenzothiazole, 2‐(methylthio)benzothiazole (2‐Me BTH), 1,3‐diphenylurea, 1,3‐diethyl‐1,3‐diphenylurea, and 1,3‐diphenylguanidine. The method demonstrated excellent sensitivity, with limits of quantification (LOQs) ranging from 0.8 to 5.6 ng/L and recovery rates between 79.8% and 90.7% near the LOQ. This technique was applied to tap water and surface river water samples from Ho Chi Minh City, revealing that 5‐MBTR, 2‐Me BTH, and BTR were the most prevalent contaminants, with concentrations ranging from 0.8 to 19.8 ng/L.

Abstract This study was focused on the nutritional composition of crocodile bone, a by‐product of crocodile leather production. The proximate composition analysis demonstrated that the nutritional composition of crocodile headbones (BH) and spine bones (BS), as well as bone extract (BE), the water‐soluble portion of the crocodile bone, were found respectively, as follows: 20.22%, 23.89%, and 62.8% protein; 13.66%, 15.22%, and 48.00% collagen; 23.47%, 17.15%, and 20.71% carbohydrate; 0.020%, 0.067%, and 0.280% fat; and 24.90%, 27.14%, and 0.95% minerals. Moreover, the profile analysis of amino acids, fatty acids, mono‐carbohydrates, vitamins, and minerals in three samples, as above‐mentioned, was also performed. The BH and BS contained significantly higher levels of bone‐essential minerals, including Ca, P, K, necessary for collagen production, and Mg, which helps enzymes convert vitamins to facilitate calcium absorption. Aspartic acid, which has a specific beneficial effect on bone regeneration, collagen‐essential amino acid, including hydroxyproline and glycine, and amino acids beneficial for bone development, such as glutamic acid, proline, and α‐alanine were found in high proportions in BH, BS, and BE samples. Vitamin K2, optimizes calcium use in the body, was found in BH, BS, and BE in concentrations of 7.02, 3.42, and 1.06 ppm, respectively. Finally, vitamin D1 and D2, and essential trace elements such as manganese, copper, zinc, iron, and selenium were found in BH and BS samples in parts per million levels. In conclusion, crocodile bone and its extracts are well‐suited for incorporation into the development of functional foods aimed at enhancing or maintaining bone health.