Luksamee Vittaya^1,*, Chakhriya Chalad¹, Sittichoke Janyong², Nararak Leesakul³

Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 4091-4115, 2025, DOI:10.32604/phyton.2025.074891 - 29 December 2025

Abstract Calophyllum inophyllum is a tropical plant that could have useful medicinal properties for pharmaceutical and cosmetic applications. The present study extracted the flower, fruit, leaf, twig, and bark of the plant by maceration in different organic solvents. The correlation between bioactive compounds and their biological activities was investigated, with emphasis on their therapeutic relevance through in silico pharmacokinetic predictions using SwissADME. Qualitative and quantitative analyses were conducted to determine the total phenolic, flavonoid, and saponin contents of the extracts. Spectral analysis of the extracts revealed –OH, C=O, C=C, and C–H functional groups. The antioxidant activity of the… More > Graphic Abstract

Jazmín Montserrat Gaucin-Delgado¹, Cristian Oswaldo Solis-López², Pablo Preciado-Rangel³, Bernardo Espinosa-Palomeque⁴, Francisco Gerardo Veliz-Deras², Viridiana Contreras-Villarreal², Ricardo Israel Ramírez-Gottfried^5,*

Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 3961-3973, 2025, DOI:10.32604/phyton.2025.072536 - 29 December 2025

Abstract Selenium (Se) deficiency is a global health problem affecting more than 500 million people; crop biofortification is a sustainable strategy for its mitigation. This study investigated the effect of the application of selenate nanoparticles (SeO₄²⁻) and the combination of selenate (SeO₄²⁻) and chitosan (CS) (forming a SeO₄²⁻-CS complex) on the antioxidant profile, growth, biomass, bioactive compounds, enzymes, and Se accumulation of wheat (Triticum spp.) sprouts. Fourteen treatments were applied using a factorial design combining seven concentrations and two formulations: SeO₄²⁻ and SeO₄²⁻-CS. It was identified that chitosan increased Se uptake efficiency by 30% versus conventional selenate. The optimal… More >

Fan Deng^*

Journal of Psychology in Africa, Vol.35, No.6, pp. 797-805, 2025, DOI:10.32604/jpa.2025.068735 - 30 December 2025

Abstract This study investigated the relationship between customer-employee exchange (CEX) and employee work engagement (vigor, dedication, absorption), and the role of psychological safety and self-efficacy mediate that relationship. Survey data were collected from 329 Chinese hotel employees (females = 52.9%, tenure: 1–3 years = 50.5%). The results following ordinary least squares regression and the SPSS PROCESS macro indicate that higher customer-employee exchange is associated with employee vigor, dedication, and absorption. Psychological safety and self-efficacy mediate the relationship between customer-employee exchange and vigor and dedication to be stronger, while the work absorption mediating effect is not significant. More >

Manisha Choudhari¹, Shantanu Damle², Rajat Vashist¹, Ranendra Narayan Saha³, Sunil Kumar Dubey⁴, Gautam Singhvi^1,*

Journal of Polymer Materials, Vol.42, No.4, pp. 1199-1229, 2025, DOI:10.32604/jpm.2025.072987 - 26 December 2025

Abstract Abiraterone acetate (ABTA) was approved by the USFDA in 2011 for treating metastatic castration-resistant prostate cancer (mCRPC). ABTA exhibits poor aqueous solubility, inadequate dissolution, low oral bioavailability (<10%), and significant positive food effects. To overcome these limitations, in the present work, ABTA solid dispersions (SDs) were developed by using hot melt extrusion technology (HME) with various grades of hydroxypropyl methylcellulose HME (HPMC HME 15LV and 100LV) at different extrusion temperatures. HPMC HME demonstrated the ability to prevent drug precipitation for up to 120 min compared to the free drug (10 min), sustaining the supersaturation state… More > Graphic Abstract

Guo-Feng Fan^1,2, Jia-Jing Qian¹, Li-Ling Peng¹, Xin-Hang Jia¹, Ling-Han Zuo¹, Jia-Can Yan¹, Jiang-Yan Chen¹, Anantkumar J. Umbarkar³, Wei-Chiang Hong^4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3813-3837, 2025, DOI:10.32604/cmes.2025.073615 - 23 December 2025

Abstract Accurate prediction of perovskite photovoltaic materials’ optoelectronic properties is crucial for developing efficient and stable materials, advancing solar technology. To address poor interpretability, high computational complexity, and inaccurate predictions in relevant machine learning models, this paper proposes a novel methodology. The technical route of this paper mainly centers on the random forest-knowledge distillation-bidirectional gated recurrent unit with attention technology (namely RF-KD-BIGRUA), which is applied in perovskite photovoltaic materials. Primarily, it combines random forest to quantitatively assess feature importance, selecting variables with significant impacts on photoelectric conversion efficiency. Subsequently, statistical techniques analyze the weight distribution of More >

Heng Cheng¹, Yichen Yang¹, Yumin Cheng^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 2853-2894, 2025, DOI:10.32604/cmes.2025.073178 - 23 December 2025

Abstract The element-free Galerkin (EFG) method, which constructs shape functions via moving least squares (MLS) approximation, represents a fundamental and widely studied meshless method in numerical computation. Although it achieves high computational accuracy, the shape functions are more complex than those in the conventional finite element method (FEM), resulting in great computational requirements. Therefore, improving the computational efficiency of the EFG method represents an important research direction. This paper systematically reviews significant contributions from domestic and international scholars in advancing the EFG method. Including the improved element-free Galerkin (IEFG) method, various interpolating EFG methods, four distinct More >

Guo-Zhi Li¹, Hua-Ping Wang^1,2,*, Si-Kai Wang¹, Jing-Cheng Zhou¹, Ping Xiang^3,4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3165-3195, 2025, DOI:10.32604/cmes.2025.072750 - 23 December 2025

Abstract Transportation structures such as composite pavements and railway foundations typically consist of multi-layered media designed to withstand high bearing capacity. A theoretical understanding of load transfer mechanisms in these multi-layer composites is essential, as it offers intuitive insights into parametric influences and facilitates enhanced structural performance. This paper employs an improved transfer matrix method to address the limitations of existing theoretical approaches for analyzing multi-layer composite structures. By establishing a two-dimensional composite pavement model, it investigates load transfer characteristics and validates the accuracy through finite element simulation. The proposed method offers a straightforward analytical approach… More >

Tanvir Fatima Naik Bukht^1,2, Yanfeng Wu¹, Nouf Abdullah Almujally³, Shuoa S. AItarbi⁴, Hameedur Rahman², Ahmad Jalal^2,5,*, Hui Liu^1,6,7,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4013-4036, 2025, DOI:10.32604/cmes.2025.071850 - 23 December 2025

Abstract Human activity recognition (HAR) is crucial in fields like robotics, surveillance, and healthcare, enabling systems to understand and respond to human actions. Current models often struggle with complex datasets, making accurate recognition challenging. This study proposes a quantum-integrated Convolutional Neural Network (QI-CNN) to enhance HAR performance. The traditional models demonstrate weak performance in transferring learned knowledge between diverse complex data collections, including D3D-HOI and Sysu 3D HOI. HAR requires better extraction models and techniques that must address current challenges to achieve improved accuracy and scalability. The model aims to enhance HAR task performance by combining… More >

J. Ahmad^a, Naeem-Ur-Rehman^a,*, M. Shakil^a, M. Saleem^a, K. Mahmood^b, A. Ali^b, M. Imran^c, S. Sharif^d, Hosam O. Elansary^e, S. Mumtaz^f, A. D. Khalid^g

Chalcogenide Letters, Vol.22, No.4, pp. 277-292, 2025, DOI:10.15251/CL.2025.224.277

Abstract This study highlights the superior electrochemical performance of Co₃O₄/Co₃S₄ composite nanoparticles for supercapacitors, compared to individual Co₃O₄ and Co₃S₄, synthesized using sol-gel, co-precipitation, and mechanical alloying methods. The composite combines pseudocapacitance and electric double-layer capacitance, as evidenced by cyclic voltammetry. It exhibits a specific capacitance of 722.9 F/g at 0.5 A/g and an energy density of 73.8 Wh/kg at 405 W/kg. Electrochemical impedance spectroscopy reveals low charge transfer resistance and excellent cycling stability is achieved, with 98.5% capacitance retention after 1500 cycles. These results confirm the composite's potential for high-performance energy storage applications. More >

M. Abbas^a, M. Haseeb-u-Rehman^a, M. Sohail^b, G. H. Tariq^a,*

Chalcogenide Letters, Vol.22, No.7, pp. 561-577, 2025, DOI:10.15251/CL.2025.227.561

Abstract This work presents the fabrication of NiO thin films via versatile sol-gel spin coating method and investigation of annealing effects on their physical properties. After the deposition process, the NiO thin films underwent annealing process at different values of temperatures ranging from 200°C to 350°C for one hour duration. XRD patterns confirmed the polycrystalline nature, along the preferred orientations (110) and (101) planes. Nanoparticles in NiO thin films demonstrated an increase in crystallite size with rising annealing temperatures, reaching a maximum size of 49 nm at annealing temperature 300°C. FTIR patterns revealed Ni-O bands at… More >