Sintering, a thermally activated consolidation process, densifies discrete particles into continuous structures via atomic-scale mass transport below the melting point. Here, we employ large-scale molecular dynamics (MD) simulations to systematically elucidate the coalescence and neck growth mechanisms of In₀.₁Ga₀.₉N nanoparticles in both homogeneous wurtzite–wurtzite and heterogeneous wurtzite–zincblende phase configurations. Simulations were conducted using the Stillinger–Weber1 potential a...

Nanoparticle-based drug delivery systems enhance drug stability, extend circulation time, and allow targeted delivery [1]. The present study aims to evaluate the drug release patterns of ascorbic acid (AA) loaded silica nanoparticles (SiNPs). SiNPs are synthesised by Stöber method, and AA is loaded on SiNPs by the adsorption method to synthesize AA-loaded SiNPs (AA@SiNPs). Then, physico-chemical characterizations of SiNPs and AA@SiNPs are performed. The average diameters of synthesised SiNPs ...

Time Series Forecasting (TSF) is a necessity in many areas, such as finance, meteorology, and Intelligent Transportation Systems (ITS). Despite that, conventional statistical and Machine Learning (ML) methods have been commonly used in these applications, but they regularly do not manage to seize the intricacy of the time-ordered dependencies and the inter-variable relationships, mainly in cases of Multivariate Time Series (MTS). This proposed approach evaluates a hybrid Deep Learning (DL) mo...

This paper presents a comparative study of different control strategies applied to a DC–DC Luo converter to enhance its voltage regulation performance. The controllers investigated include PID, Type II, Type III, and Internal Model Control (IMC). Each control technique is examined under varying input voltages and load conditions to evaluate its ability to maintain stable output voltage and improve converter dynamics. The results indicate that all control methods effectively intensify the conv...

This research looks at four distinct topologies for non-isolated bidirectional DC-DC converters, all of which are reshaped to renewable energy generation systems. This study focuses on four different types of DC-DC converters: NHIBC, NCBBBC, NBIBZSC, and NBIB. Variations in temperature and precipitation can cause immense swings in the input voltage of renewable power systems like wind and photovoltaic (PV) panels. Taken together, these obstacles have historically limited the total amount of e...

This study expresses the process of generating and analyzing buck converter with resonant zero voltage switching (ZVS) integrated with three MPPT algorithms: Perturb and Observe (P&O), Incremental Conductance (INC), and Variable Step-Size (VSS) P&O. The ZVS resonant approach significantly lower switching losses and increases total converter efficiency. Each MPPT algorithm was assessed under varying irradiance conditions to compare its tracking accuracy, convergence speed, and steady-state eff...

Effective dissipation of localized heat generated in modern electronic assemblies requires cooling systems that operate efficiently within severely constrained dimensions. Micro-scale channel heat sinks are well suited for such applications, yet their performance is governed by the interaction between flow configuration and coolant transport behavior. In this numerical investigation, a composition-controlled water–ethanol working fluid is assessed within manifold-distributed microchannel netw...

Simarouba glauca kernel oil was extracted by using three solvents namely n-hexane, acetone and ethyl acetate. The factors considered for extraction of oil were extraction time (1-3 hours), soildsolvent ratio (0.05-0.25 g/ml) and particle size of grounded Simarouba glauca kernel (0.6-1.0 mm) and Box-Behnken design of RSM (Response Surface Methodology) was used for modelling of extracted oil. The effect of each factor (independent variable) on oil yield was discussed by using suggested model of...

The eastern Indian region encounters severe thunderstorms during pre-monsoon season every year. As these thunderstorms are known for their association with catastrophic destruction of properties, lives, and economy, the prediction of these thunderstorms is widely attempted over the years. Thermodynamic indices, being one important aspect of analysing these thunderstorms, are able to show the changes associated with thunderstorms over different stations, as well spatially over the region. Howe...

Urban environments are distinguished by elevated aerosol optical depth (AOD) and increased temperatures, primarily driven by the concentrated emissions of heat and pollutants originating from various anthropogenic activities. These processes lead to the development of Urban Pollution Islands (UPI) and Urban Heat Islands (UHI). The interaction between UHI and UPI is complex: turbulent air dispersion associated with UHI modifies the spatial distribution and intensity of aerosols within the UPI,...

This research is capable of analysing the vibration behaviour of perforated structures featuring periodic square perforations and axially functionally graded materials with sliding-end boundary conditions. Here the objective is to understand how the size of holes and the total perforation affect the natural frequency of this perforated structures. Here, it is seen that by varying the hole size, the perforated structure gradually transforms into a solid structure. Due to the perforation presen...

This work analyzes the bending response of nanobeams made of functionally graded materials with non-ideal simply-supported boundary conditions. The nanobeam is subjected to a varying exponential load, and the Young's modulus of the nanobeam is assumed to vary in the thickness direction according to a power-law function. The Euler-Bernoulli beam theory is utilized to model the nanobeam, and Eringen's nonlocal elasticity theory is used to analyze the nonlocal effects of the nanobeam. By account...

This work introduces a framework called the Physics Informed Functional Link Neural Network (PI FLNN) for solving the bending analysis of perforated structures with sinusoidal load, in which the hidden layer is replaced by a functional expansion block for enhancement of the input patterns using orthogonal polynomials to estimates solution of differential equations by integrating neural networks with constrained expression (CE) that contain a free function, and the CE satisfies boundary condit...

This numerical study investigates the effect of slanted elliptical ribs (SERs) on pressure drop and heat transfer characteristics in a microchannel, within the context of developing solutions for heat transfer augmentation. In addition to a comparison with straight ellipsoidal ribs, other rib shapes with different angles of attack are examined. Key measures, such as pressure drop and average Nusselt number, are used to evaluate the performance of each design. The findings show that SERs signi...

The application range of Molybdenum (Mo) is greatly restricted by oxidation, necessitating the use of suitable alloying and dispersion techniques. Six distinct alloy compositions were synthesized via mechanical alloying as A1 (Mo80Ni10Si10), A2 (Mo80Ni10Co10), A3 (Mo80Ni10Si5Co5), A4 (Mo79Ni10Si10(Y2O3)1), A5 (Mo79Ni10Co10(Y2O3)1), and A6 (Mo79Ni10Si5Co5(Y2O3)1) (composition in weight percent), followed by conventional sintering at 1500 °C for 90 min in a continuous flowing H2 atmosphere. Thi...

Natural nacre consists of a hierarchical brick-and-mortar microstructure that imparts superior fracture toughness, damage resistance, high specific strength, and lightweight properties, which mark it an inspiring model for aerospace-grade composite materials operating in harsh and tough environments. The challenge of fabricating bulk materials with such intricate microstructure in a cost-effective and low-energy-intensive way has persisted for half a decade. In present investigation, a scalab...

Cloud computing is used for resource management in a virtualized environment. The Virtual Machine (VM) placement is important for better utilization of resources. That leads to reduce energy consumption. Inefficient allocations are observed for traditional 1D bin-packing methods where multidimensional VM resources are available. This study discussed an enhanced VM placement strategy based on 2D and 3D bin packing, which incorporates CPU and RAM as key resource dimensions. An improved method f...

Oral submucous fibrosis (OSF) is characterized by chronic oxidative stress-induced mitochondrial dysfunction, fibroblast activation, and collagen accumulation. Arecoline exposure disrupts mitochondrial homeostasis by elevating ROS levels, impairing mitochondrial membrane potential, triggering mitochondrial hyperfusion and mitochondrial DNA damage. Our study aims to suppress the arecoline induced submucosal fibrosis and identified bacosine, a flavonoid derived from Bacopa monnieri, to maintain...

Paired box 9 (PAX9), a member of the paired box transcription factor family, plays a crucial role in regulating cancer cell growth, proliferation, and differentiation. Its downregulation has been documented in oral cancer and is closely associated with tumor growth and progression. To explore the role of PAX9 in cancer stem cells, we isolated CD44⁺ and CD44⁻ populations from oral cancer cells using magnetic-activated cell sorting (MACS), and validated the separation through flow cytometry and...