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Influence of magnetic field on salt finger convection using micropolar liquids: a study of heat and mass transfer through linear and nonlinear theories
This paper examines the effects of a magnetic field on heat and mass transfer in salt finger convection within a micropolar liquid layer confined between two infinitely long, parallel plates separated by a thin gap. The system is heated and soluted from above. A linear and nonlinear stability analysis is carried out to investigate the heat and mass transfer mechanisms in the presence of magnetic field. A linear stability analysis is conducted to determine the critical Rayleigh number and solutal Rayleigh number, which are key parameters governing the onset of salt finger convection. To model the system, the governing nonlinear partial differential equations are solved numerically using finite-amplitude analysis. The solution framework utilizes a Fourier series representation of the stream function, spin, magnetic field, temperature distribution, and concentration distribution. The study further explores the influence of various micropolar fluid parameters such as the coupling parameter, micropolar heat conduction parameter, couple stress parameter, and inertia parameter on heat and mass transfer under magnetic field effects. To provide deeper physical insight, flow variables are analyzed and illustrated graphically for different values of micropolar parameters over time. Finally, the paper presents key findings and their implications in the results and discussions. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025. -
Chaos and control in a fractional-order financial model: a non-local dynamical approach
The idea of financial resources is all encompassing and crucial to every facet of human existence; it also has indirect relationships to people, communities, cities, and nations. Researchers are interested in this topic since it has significant value for a societys progress. This investigation devotes to the analysis of non-local effects of the fractional finance system. In order to make sure the system is well-posed, the boundedness has been examined. Furthermore, the stability analysis investigation confirms the unstable state of the system. Additionally, we show how to use Lyapunov exponents and bifurcation parameter analysis to determine the appropriate range where the system is more chaotic. Using Picards operator, we investigated the existence and uniqueness of the solutions and showed that the system under consideration had two unstable equilibrium points. By using the active control approach, we provide the necessary circumstances for fractional finance systems to synchronize as well as control functions to manage chaos in the considered system, so that we can record the observations. To illustrate the numerical simulations for different parameter values of the finance system, the fractional Eulers method is used, and the chaotic behaviors are captured in figures. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025. -
Surface acoustic waves in a layered piezoelectric plate with considered surface effects
In an attempt to remove such impediments in the technological revolution of surface acoustics waves (SAW) sensors, the main objective of the current work is to study how wave propagation direction effects the performance of SAW macro- and nano-sensors. In order to investigate the propagation of shear horizontal (SH) and anti-plane SH waves in piezoelectric materials with surface effects, a model has been presented. The wavenumber of surface waves in any direction of the piezoelectric medium is presented using the theoretical forms that are generated. To get the phase velocity equation from the wavenumber expression, we additionally use surface elasticity theory. To account for surface phenomena at the nanoscale, the model includes permittivity, surface elasticity, and piezoelectricity. Two configurations are investigated: a piezoelectric material half-space with a nano-substrate and an orthotropic piezoelectric material layer atop an elastic framework. Frequency equations for both symmetric and anti-symmetric waves are determined analytically. The crucial thickness of the piezoelectric layer, where surface energy greatly affects dispersion properties, is highlighted by numerical results. Analysis of the impact of density and surface elasticity on wave velocity reveals a boundary-like spring force. The objective of this study is to investigate the SH wave transmission behavior in anisotropic, transversely isotropic piezoelectric nanostructures. Summaries of recent theoretical work aid in the construction of more effective surface acoustic wave sensors, and the study findings may be valuable in building SAW devices and piezoelectric sensors. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. -
Mechanics of love-type surface wave energy transmission in viscous liquid-coated piezomagnetic plate
Purpose: This study investigates Love-type wave propagation in a multilayered structure composed of a viscous liquid (VL) layer, a piezomagnetic (PM) layer, and a heterogeneous half-space (HHS). It considers two models: Model 1 (Terfenol-D) and Model 2 (Cobalt Ferrite). Wave behaviour is analysed under magnetically open (MO) and short (MS) circuit conditions. Methods: The dispersion relation for Love-type waves was derived analytically, and phase velocity graphs were displayed and analysed in Mathematica. A thorough analysis was conducted to establish the impact of critical variables on phase velocity, including material heterogeneity, piezomagnetic coupling, and viscous liquid layer thickness. Findings: Both models show significant effects of VL and PM coupling on phase velocity. Terfenol-D (Model 1) displays higher sensitivity to piezomagnetic effects, while Cobalt Ferrite (Model 2) shows steadier trends. MO and MS conditions yield comparable results, indicating minor boundary effects. Research limitations: The model only considers linear wave transmission and excludes nonlinear effects. Furthermore, the technique is predicated on idealised material properties that account for heterogeneity. Practical Implications: The studys findings can be used to design and develop energy harvesters, sensors, and wave manipulation instruments using PM with viscous liquid coatings. Understanding the behaviour of surface waves, including phase velocity, is essential for efficient application in these frameworks. The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2025. -
Study of a modified JohnsonCook model for 304 stainless steel incorporation with coupled strain, strain rate, and temperature effects
304 stainless steel (SS 304) with its superior high-temperature resistance has been highly sought after. To explore the rheological behavior of SS 304 at high-temperature conditions, isothermal hot compression tests were conducted using the Gleeble-3800 thermal simulation machine under temperatures of 8001200C, strain rates 0.011 to 11 s-1, and a strain of 60%. The JohnsonCook (JC) constitutive model was constructed and optimized based on the experimental data. By introducing coupled strain, strain rate, and temperature effects, a more precise constitutive equation was established. The result indicates that the optimized JC model predicts the rheological behavior of SS 304 more accurately, as evidenced by a correlation coefficient (Rco) value of 0.9884 and an average absolute relative error (AARE) of 8.452%, indicating high prediction accuracy. ABAQUS further verified the optimized model. This study has important theoretical value to the hot processing of SS 304 and helps to ensure accurate calculation of the stress response of the material at high-temperature conditions, which will aid in optimizing process parameters and optimizing the performance of the material. Novelty of the research is a modified JohnsonCook model incorporating coupled strain, strain rate, and temperature effects was developed and validated to accurately predict the high-temperature rheological behavior of SS 304, achieving high predictive accuracy (R = 0.9884, AARE = 8.452%). The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2025. -
Study of surface wave velocity in distinct rheological models with flexoelectric effect in piezoelectric aluminium nitride structure
This study investigates the propagation of surface seismic waves at the loosely bonded interface of a visco-piezoelectric composite structure, incorporating the flexoelectric effect. The structure consists of a viscoelastic layer placed over a piezoelectric substrate, with the upper layer's shear stiffness modelled using the KelvinVoigt approach. An analytical method based on the separation of variables is employed to derive the complex dispersion relations for both electrically open- and short-circuit boundary conditions. Numerical simulations reveal the significant influence of various parameters on the wave's phase velocity and attenuation coefficient. Furthermore, a graphical comparison of three rheological modelsMaxwell, Newton, and KelvinVoigtis presented. The results show that the attenuation is lower in the Maxwell and Newton models compared to the KelvinVoigt model. Key findings include the bonding parameter's direct proportionality with phase velocity and inverse relationship with attenuation, and the pronounced impact of flexoelectricity on both phase velocity and attenuation. This theoretical framework offers insights into the piezo-flexoelectric coupling, with potential applications in designing sensors, actuators, energy harvesters, and nano-electronic devices. The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering 2024. -
Building Resilience Through Flexibility to Mitigate Pandemic Disruption: A SAPLAP Analysis of Textile and Clothing Supply Chain
Global organisations are increasingly emphasising efficiency in their supply chain activities. However, amidst the post-COVID-19 pandemic landscape, supply chain resilience is becoming imperative for mitigating disruptions, and ensuring uninterrupted production and delivery of goods and services. This is more true for textile and clothing supply chains which have their activities present across the globe and therefore susceptible to pandemic disruptions. This research attempts to advance the discourse on supply chain resilience by highlighting the ambidextrous role of flexibility and how it strengthens robustness as well as agility. The study employs the SAP-LAP framework (situation, actor, process; learning, action, performance) and views it through the lenses of Contingency Theory and Dynamic Capability Theory to formulate reactive and proactive strategies for supply chain resilience. The research reveals key elements of situation, actors, processes, learning, and actions for enhancing resilience performance in the textile and clothing supply chains. The results underscore the enormous significance of flexibility as a precursor for creating flexible procurement, agility, operational manoeuvrability, product diversification, and risk management culture in the supply chain. By intertwining flexibility with resilience and underpinning it with organisational theories, this study contributes to the broader discourse on supply chain disruption risk management. The Author(s) under exclusive licence to Global Institute of Flexible Systems Management 2025. -
Contributing Factors for Building a Flexible Supply Chain in the Digital Age: Studying Their Impact on SDGs
The rapid advancement in digital technologies has required supply chains to adapt to more flexible and resilient frameworks. This study explores the potential contributing factors to developing a flexible supply chain in the digital age and evaluates their impact on the United Nations Sustainable Development Goals (SDGs). The study employs the fuzzy Delphi method and the fuzzy bestworst method to systematically identify and prioritise the potential contributing factors from a literature survey and expert insights. The fuzzy Delphi method is utilised to attain a consensus among experts on relevant contributing factors, while the fuzzy bestworst method assesses the relative importance among factors and ranks them based on their contributions to supply chain flexibility. The findings emphasise the importance of digital integration, data analytics, and agile methodologies to foster a responsive supply chain. Additionally, the study highlights the positive association between enhanced supply chain flexibility and attaining several SDGs. The study presents a comprehensive framework for supply chain flexibility, integrating supplier diversity, technology, and risk management. Furthermore, it suggests that sustainability, human capital, and risk management are key to building flexible, adaptable supply chains. The studys findings emphasise the need for investment in digital technologies, agility, and collaboration. This study provides a comprehensive framework for policymakers and business leaders, aiming to align sustainable development objectives with supply chain strategies in the digital era. The Author(s) under exclusive licence to Global Institute of Flexible Systems Management 2025. -
Effect of 2024-T3 Aluminum Face Sheet Thickness on Impact-Induced Damage and Sandwich Behavior of GLARE Laminates
Glass Laminate Aluminum Reinforced Epoxy (GLARE) composites are widely employed in impact-critical aerospace and automotive structures due to their superior damage tolerance and energy absorption capability. In this study, the influence of Al 2024-T3 aluminum face-sheet thickness on the low-velocity impact (LVI) response and damage evolution of GLARE laminates was experimentally investigated. Laminates with a constant total thickness of 2mm were fabricated using a hybrid hand lay-up and compression molding process, while the aluminum face-sheet thickness was varied between 0.2, 0.3, and 0.4mm. LVI tests were conducted according to ASTM D7136 at a constant impact energy of 19.26J using a 3.926kg impactor. Complementary tensile and flexural tests were performed to support the interpretation of impact behavior. The results show that face-sheet thickness significantly affects peak load, displacement, and energy absorption mechanisms. Laminates with a 0.3mm aluminum face sheet exhibited the highest peak load and reduced displacement, indicating improved stiffness and resistance to impact-induced damage, while thinner and thicker face sheets showed higher energy absorption due to increased deformation and interlaminar damage. Scanning electron microscopy and EDAX analyses revealed that optimized face-sheet thickness promotes uniform stress transfer, delayed delamination, and controlled plastic deformation of aluminum layers. The study demonstrates that an intermediate aluminum face-sheet thickness provides an optimal balance between stiffness and energy dissipation, offering valuable design insights for GLARE laminates used in impact-sensitive lightweight structures. The Institution of Engineers (India) 2026. -
A Study on Wear Behavior of Al7075, Boron Fiber and Silica Particle Reinforced HMMC
The purpose of this work is to ascertain development and wear characteristics of hybrid aluminum composites (Al7075) reinforced with silica particles and boron fiber, which could lead to application within high-performance applications. Hybrid composites fabricated by using the liquid metallurgy. Silica content was varied at 0%, 2%, 4%, and 6% by weight, while the boron fibers were used at 1%, 3%, 5%, and 7% by weight. The dry sliding conditions wear tests were executed with the following parameters: load (1040 N) & sliding velocity (0.52.0m/s). Results showed that the composites with 4% silica and 5% boron fibre revealed a 28% decrease in wear loss at 10 N compared to Al7075, indicating a maximum improvement in wear resistance. By performing statistical analysis with ANOVA, the loads were found to be the major contributor of 48.02% to wear loss, followed by silica content and sliding velocity as 24.91% and 22.38%, respectively. SEM confirmed uniform dispersion of reinforcement, very low porosity, and good interfacial bonding. It is observed that hybrid Al7075 composites exhibit enhanced strength and wear resistance, thus well suited for severe applications requiring light weight, tough materials. The Institution of Engineers (India) 2025. -
Fabrication and Characterization of AA7050 Nano Composites by Enhancing Directional Properties for High Impact Load Applications
The demand for materials with superior strength and impact resistance has driven the exploration of innovative composite materials. In this research, Al 7050 is chosen as the matrix material due to its excellent mechanical properties, whereas SiC and graphene nanoparticles are incorporated to tailor its directional strength characteristics. The fabrication process involves the synthesis of Al7050 nanocomposites through a meticulous blending of nanoparticles with the matrix material. The characterization phase encompasses a comprehensive analysis of various techniques, including scanning electron microscopy, X-ray diffraction, and mechanical testing. The results shows that the directional strength improvements achieved through SiC and graphene nanoparticle reinforcement with Al7050. The tensile strength of the aluminum in the AA7050-7.5g composite rose from 185.3 to 256.1MPa upon the addition of SiC and graphene. The findings of this study contribute to the evolving field of nanocomposite materials, offering insights into the design and development of advanced materials tailored for specific directional strength requirements. The Institution of Engineers (India) 2024. -
A Comprehensive Study on Parametric Optimization of Plasma-Sprayed Cr2C3 Coatings on Al6061 Alloy
Plasma spray, a widely employed thermal spray method, is known for enhancing coatings with heightened microhardness, density, and bonding strength. In this study, Taguchis approach was applied to optimize processing parameters for plasma spray-coated surfaces, aiming to reduce porosity, increase hardness, and fortify the connection between Cr2C3 coatings. The design of experiments method facilitated the optimization of process parameters, utilizing signal-to-noise ratios and ANOVA analysis to assess the significance of each processing parameter and identify optimal parameter combinations. Powdered feed rate and stand-off distance emerged as the two most critical processing variables influencing permeability and hardness, contingent on signal-to-noise ratios. S/N ratio analysis was employed to determine the optimal processing parameters for permeability, hardness, and bonding strength. For porosity, the optimal stand-off distance, powdered feed rate, and current density were identified as 60rpm, 50g/min, and 460ampsmm/s, respectively. Exemplary process conditions for hardness included a powdered feed rate of 60g/min, a stand-off distance of 80rpm, and a current density of 480 amps. Lastly, for strength properties, the ideal process variables were a stand-off distance of 80rpm, a current density of 480amps, and a powdered feed rate of 60g/min. Despite small differences between projected R2 and modified R2 values in statistical data on permeability, hardness, and bonding strength, the proximity to the one emphasizing the fit of the linear regression used for analysis was evident. Fracture results from the binding strength test postulate mixed adhesion-cohesion type failures in the Cr2C3 coatings. The Institution of Engineers (India) 2024. -
Machining Characteristics Evaluation of Al7075TiB2 In Situ Composite Using Abrasive Water Jet Machining with Varied Test Parameters
The study delves into the abrasive water jet (AWJ) cutting of an Al7075TiB2 metal matrix composite that was synthesized in situ. The primary goal is to investigate how variations in three key process parameters, namely, stand-off distance (SOD) ranging from 0.5 to 2.5 mm, abrasive flow rate (100 to 300 g min), and traverse speed (100 to 500 mm min), affect three critical performance metrics: volumetric material removal rate (VMRR), dimensional accuracy, and surface roughness (SR). The studys findings were represented graphically, highlighting the relationships between these responses and the aforementioned process parameters. Scanning electron microscopy (SEM) was also used to examine the machined surfaces. It was discovered that increasing traverse speed resulted in significant increases in surface roughness, VMRR, and dimensional errors. An increase in the SOD, on the other hand, resulted in an increase in surface roughness, VMRR, and a decrease in dimensional accuracy. Furthermore, increasing the abrasive flow rate resulted in lower surface roughness and dimensional accuracy while achieving a higher VMRR. The Institution of Engineers (India) 2023. -
A Family of Mexican Hat Wavelet Stieltjes Transform for Unbounded Non-decreasing Functions
In the present article, we examine the characteristics of the Mexican hat wavelet Stieltjes transform (MHWST) for a specific set of functions belonging to one of the sub-class of bounded variation functions. The subset comprises functions that are unbounded and non-decreasing. Further, a unified approach is applied to establish a uniqueness theorem and subsequently derive a representation theorem for the MHWST. The Author(s), under exclusive licence to The National Academy of Sciences, India 2024. -
A Comparative Study of Nutrient Composition, Proteolytic Activity, Phytochemical Profiles, Vitamin C Content, and Antioxidant Properties in the Peels of Selected Perennial Fruits
The escalating global demand for fruits has led to a surge in fruit production, resulting in significant fruit waste, particularly peels. The present study aims to investigate the nutrient content, proteolytic activity, phytochemical levels, vitamin C and antioxidant properties of five perennial fruits, namely Carica papaya (papaya), Selenicereus costaricensis (Red dragon fruit), Ananas comosus (Pineapple), Musa acuminata (Cavendish banana), Punica granatum (Pomegranate) peels of varying ripening stages. Accordingly, two ripening stages for pomegranate, papaya and dragon fruit (PoR1 and PoR2; PaR1 and PaR2; DR1 and DR2, respectively) and three stages for banana and pineapple (BR1, BR2 and BR3; PiR1, PiR2 and PiR3, respectively) were identified based on ethylene gas emission. The elemental analysis showed that fruit peels of Pineapple (PiR3), Banana (BR2), Papaya (PaR2), and Dragon fruit (DR2) showed significantly higher content of macro and micro-elements compared to the other ripening stages. Pomegranate peels exhibited the highest proteolytic activity (5.09 0.98unitsg?1), total phenolics (246.09 0.25mgg?1), total flavonoids (158.27 1.72mgg?1), tannins (103.94 0.09mgg?1), DPPH scavenging activity (129.43 1.34%), and antioxidant activity (127.14 1.35mgg?1 by phosphomolybdate assay). A. comosus peels had the greatest vitamin C levels (95.53 3.52mgg?1). Anti-nutrient analysis revealed safe levels of oxalates, phytates, and alkaloids, except for high oxalate levels in pomegranate peels. Notably, all parameters exhibited an increasing trend with ripening stages, with a decline during senescence in Banana (BR3) and Pomegranate peel (PoR2). This knowledge of fruit peel composition can enhance their utilization by humans, pharmaceutical and food industries, while also contributing to more effective waste management. Our study addresses the pressing need for sustainable fruit peel utilization in the context of escalating fruit production and waste. The Author(s), under exclusive licence to National Academy of Agricultural Sciences 2024. -
Influence of high-shear exfoliation and the stabilizer on the formation of exfoliated graphene nanosheets and its supercapacitive performances
Despite the extensive research on the preparation of graphene nanosheets, there is no suitable and optimized procedure for the large-scale production of 'defect-free' graphene monolayers. In addition, there is only a few works on the eco-friendly shear exfoliation of graphite using water as the solvent. However, no work has been reported on optimizing the critical parameters such as rotation speed and time duration (rpm) of shear homogenizer and concentration of stabilizer that determine the quality of graphene nanosheets. In this paper, an eco-friendly and scalable approach to prepare graphene nanosheets from natural graphite flakes using a high-speed shear homogenizer and sodium dodecyl sulfate (SDS) as an ionic stabilizer has been reported. As a result, the obtained efficiency of exfoliated graphene corresponding to the optimized condition is found to be 89%. Later, the exfoliated graphene is characterized by both physical characterization (i.e., Raman spectroscopy and FE-SEM) and electrochemical characterization. The electrochemical analysis reveals that the prepared graphene nanosheets exhibit a specific capacitance of 60.24Fg?1. This method is simple, inexpensive, environmentally friendly, and easy to scale up. Iranian Chemical Society 2025. -
LSTM-MGTO: a novel early breast cancer detection using long short term memory based modified gorilla troops optimization algorithm
One of the most prevalent and severe tumors in women, breast cancer, remains a major global health issue despite a notable increase in incidence over the last ten years. It is the second leading cause of cancer-related death among women. Identifying breast cancer in its early stages has the potential to save lives; however, current screening techniques for the illness require several laboratory procedures involving medical experts. Automated solutions with rapid and reliable diagnostic capabilities are needed to minimize human error and expedite breast cancer diagnosis. The projected accuracy of cancer diagnosis remains far from matching the precision offered by existing approaches, even with the research on automated systems for the disease being studied. This work suggests a long short-term memory-based modified Gorilla troop optimization (LSTM-MGTO) method for breast cancer classification in order to address these issues. The Mastectomy Koibra Dataset (BCCD) and Wisconsin Diagnostic Mastectomy (WDBC) datasets were used to test the suggested methods. First, the proposed system employs contrast-limited adaptive histogram equalization (CLAHE) to enhance the quality of digital mammograms. Furthermore, employ a semantic deep learning (SDL) model to extract features. After the feature selection process, a recursive feature elimination technique was implemented to determine the crucial WDBC and BCCD characteristics that are relevant to breast cancer detection. Moreover, recommend a modified U-Net architecture for partitioning in both unmapped and guided contexts. The experimental findings indicate that the newly developed partitioning model surpasses existing advanced techniques, yielding superior results in both Dice and IoU score evaluations. On the WDBC and BCCD datasets, the suggested U-Net segmentation produces maximum Dice scores of 97.65% and 96.24%, respectively. Additionally, the model obtained the greatest IoU scores of 95.43% and 90.65% on the WDBC and BCCD datasets, respectively, according to the experimental findings. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2025. -
Effects of light-emitting diode (LED) light sources on in vitro protocorm-like body (PLB) proliferation, plantlet regeneration, and ex vitro acclimatization in Cymbidium Snow Pearl
One of the key environmental elements that influences plant growth in vitro is light quality. Currently, a variety of horticultural plants are regenerated in vitro using light-emitting diode (LED) light sources to produce healthy, high-quality plants that can adapt well to ex vitro transplantation conditions. Investigating the impact of various spectrum light sources at various phases of in vitro regeneration is essential, though. The objective of this research was to examine how red (R), blue (B), white (W), red plus blue (RB, 1:1), red, green (G), and blue (RGB, 1:1:1) LEDs affect the growth of protocorm-like bodies (PLBs), shoot regeneration, and the rooting stages of shoots. The findings showed that B-LEDs were accountable for PLB proliferation, whereas R-LEDs were responsible for increased shoot regeneration and improved growth matrices with shoots and plantlets as compared to other LED treatments. Plant height, leaf count, and dry matter percentage were all higher in the plantlets that were regenerated under R-LED. On the other hand, more root regeneration and longer roots were caused by the B-LED treatment. Plants cultivated under RB LEDs had greater levels of carotenoid pigments, total chlorophyll, chlorophyll a, and chlorophyll b. When compared to other treatments, photosynthetic fluorescence characteristics like maximum quantum yield of PSII (Fv/Fm), photochemical quenching coefficient (qP), relative electron transport in PSII (ETRII), and non-photochemical quenching (NPQ) were lower in plants cultivated under R-LED treatment. The best LED for in vitro Cymbidium Snow Pearl plant regeneration was as follows: The B-LED was good for PLB proliferation, the R-LED was appropriate during shoot regeneration, and the growth of plantlets, the physiological characteristics such as chlorophyll a, chlorophyll b, total chlorophyll, and carotenoid content and number of epidermal cells per unit area were optimum with the plants grown under RB LED light. The Author(s), under exclusive licence to Korean Society for Horticultural Science 2026. -
Effects of citric acid, ascorbic acid, and polyvinylpyrrolidone in overcoming medium browning during micropropagation of Phalaenopsis univivace
The most significant issues in the early phases of plant tissue culture are the browning of the explant and media. The objective of this research was to determine how well citric acid (CTR, 20 and 40 mg L? 1), ascorbic acid (ASA, 200 and 400 mg L? 1), and polyvinylpyrrolidone (PVP, 20 and 40 mg L? 1) could help Phalaenopsis Univivace overcome medium browning during the stages of shoot multiplication (MS medium supplemented with 150 mL L? 1 coconut water, 10 mg L? 1 adenine sulfate, 1 mg L? 1 thidiazuron, and 15g L? 1 sucrose) and rooting of shoots (MS medium with 25 mL L? 1 coconut water, 1 mg L? 1 indole butyric acid, 15g L? 1 sucrose). Numerous metrics were estimated, including the number of shoots that were regenerated during the shoot regeneration stage, the number of roots that were regenerated during the shoot rooting stage, and a number of growth parameters. The quantity of carotenoid and chlorophyll pigments, PSII quantum yield (Fv/Fm), the effective PSII quantum yield (YII), and the non-photochemical quenching (NPQ) were also measured. Additionally, oxidative stress enzyme malonaldehyde (MDA) and preventive antioxidant enzymes including catalase (CAT), peroxidase (POD), and superoxide dismutase (SOD) were measured in regenerated shoots and plantlets. The results showed that the medium browning issues during the shoot and root regeneration stages were resolved by supplementing with CTR, ASA, and PVP. In terms of shoot regeneration, rooting of shoots, and enhancing shoot and plantlet growth metrics, 40 mg L? 1 CTR supplementation was determined to be superior overall. The Author(s), under exclusive licence to Korean Society for Horticultural Science 2025. -
Anti-inflammatory and anti-diabetic activities of lanthanum oxide nanoparticles using Plectranthus amboinicus leaf extract
Lanthanum oxide nanoparticle (La2O3 NPs) were synthesized by co-precipitation technique using Plectranthus amboinicus (P. amboinicus ) leaf extract. A yellowish green color was observed after the addition of leaf extract to the NaOH solution. The synthesis of nanoparticles plays a vital role in the field of science and technology. The cubic structure of the La2O3 was confirmed by Powder XRD. The functional groups present in the NPs were confirmed by FT-IR spectroscopy. The absorbance spectrum was observed at 274nm in the wavelength range of 230850nm. The calculated band gap value was 4.32eV. The structural morphology of La2O3 NPs was observed as cubic and irregular shape obtained from SEM image and EDAX spectrum which confirms the presence of La and O elements. The average particle sizes of the NPs were observed to be 40.22nm analyzed by high resolution transmission electron microscopy (HR-TEM) analysis. The main objective of this research work was focused on prepared La2O3 NPs act as a potential inhibitor to handle various inflammations and diabetes problems. Bovine serum albumin (BSA) denaturation approach produced a strong anti-inflammatory response with 92.89% inhibition at 500g/mL while ?-amylase showed significant antidiabetic activity of about 94.55% inhibition at 500g/mL. These results suggest that the green synthesized nanoparticles can be used for ?-amylase and BSA denaturation inhibitory activities, which may be crucial for biomedical applications. The Author(s), under exclusive licence to Society for Plant Biochemistry and Biotechnology 2026.