Composite Bi2Fe4O9(90)/CoFe2O4(10) was synthesized using the sol-gel auto combustion method. The structural, magnetic, and dielectric characteristics were studied in the present work. The crystallite size of composite ~ 60 nm was calculated from the Rietveld Refinement analysis of room temperature X-ray diffraction (XRD) patterns. Surface morphology depicted the inhomogeneity in grain dispersion with 0.7μm-sized grains on average. The field-dependent magnetization curve at room temperature (R...

Utilization of cottonseed cake waste, a by-product of the oilseed industry, for the green synthesis and characterization of zinc oxide nanoparticles as an active antimicrobial ingredient in food packaging. Zinc oxide nanoparticles were synthesized by a green synthesis method using cottonseed cake extract. The effects of plant extract concentration (45%, 60% and 75% v/v) and different synthesis conditions, such as room temperature, high temperature, and ultrasound treatment, on the size, yield...

In this paper, we have implemented Davide Pradovera’s minimal sampling algorithm for adaptive frequency sampling in electromagnetic simulation. This algorithm is basically a modified AAA (Adaptive Antoulas– Anderson) version. Compared to the conventional AAA algorithm, this approach does not require a prior user-defined dataset to find out the next frequency sample point while meeting the specified error criteria. Pradrovera has introduced a pseudo error to find out the next frequency sample ...

LiFe5O8 (LFO) was synthesized by sol-gel auto combustion method. The phase confirmation of the samples was done by the Rietveld refined X-ray diffraction (XRD) patterns. Temperature dependent magnetic properties were investigated by the Vibrating Sample Magnetometer. Temperature dependence of the electrical resistivity suggested polaronic hopping conduction in the high temperature region of 352 - 400 K. The magnetoelectric (ME) measurement revealed the true ME coupling in the sample.

This paper presents a VCO-based time domain comparator using intermediate buffers. The proposed comparator provides high resolution and better speed at low input voltage differences. In the comparator there are two different delay paths which have complimentary connections. Depending on the value of Vip and Vin one path will be faster than the other. In this comparator, the Vip and Vin provide the delay to the pulses generated by the close loop operation of the comparator. The faster pulse wi...

This paper contributes to the research on spatial determinants of entrepreneurship in developing countries. In particular, we consider the impact of multinational corporations (MNCs) and their R&D subsidiaries, along with regional innovation policy measures on the regional startup ecosystem in India. Furthermore, the study examines the impact of economic factors and policy measures on the growth of entrepreneurial ventures and startups, particularly in developing and emerging countries. The s...

The attraction of photon upconversion through the use of lanthanide-doped materials involves generation of photons at shorter wavelengths than the excitation wavelength after laser stimulation. Besides their extensive use in the field of bioimaging, drug delivery and sensors, temperature sensing based on the fluorescence intensity ratio (FIR) that suffers with low sensitivity still needs host crystal with strong upconversion luminescence (UCL) intensity. Here a series of Y2WO6:Er3+/Yb3+ cryst...

Sterile neutrinos, non-interacting fermion singlets, are crucial in BSM physics, addressing oscillation anomalies and facilitating neutrino mass generation via type-I seesaw mechanism. We investigate a model extending the SM with 3 sterile neutrino states, employing a specific (6 × 6) unitary mixing matrix. Analytically deriving the masses of added sterile states using the exact seesaw relation, we study their impact on |mee|, relevant to neutrinoless double beta decay (0νββ) searches. Explor...

This study proposes a sustainable vehicle routing problem that considers economic, environmental, and social objectives within a realistic, variable-speed scenario. The model aimed to minimize fuel consumption and transport costs while maximizing customer satisfaction. Fuel consumption has two parts, depending on the speed variation and the fixed part. Time windows are designed using generalized bell membership functions, offering flexibility to handle uncertainty better than classical time w...

Facial emotion recognition plays a crucial role in human-computer interaction and psychological research. Early emotion recognition techniques using visible images could be easily tampered as emotion can be faked on the physical level. So, thermal imaging-based methods were considered to capture the natural and spontaneous intensity of emotions. Currently, only a handful of research studies are being performed using thermal cameras to detect emotions. This article proposes a deep-learning app...

Electricity price forecasting is essential for ensuring the efficient and cost-effective operation of the power industry. Accurate and precise prediction of electricity prices is critical in the electricity market due to the inherent challenges posed by factors such as high volatility, seasonality, calendar effects, and non-linearity. This paper presents four deep learningbased models—Multilayer Perceptron (MLP), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and a hybrid Conv...

This research discusses the use of artificial neural networks (ANN) to monitor peak power. Neural networks are trained via the error back propagation approach. One benefit of neural networks is their ability to track maximum power points accurately and quickly. Here, the maximum power point's reference voltage is set using a neural network training process in different atmospheric circumstances through appropriate DC-DC boost converter management. The ANN-MPPT approach makes it feasible to so...

This paper examines the conciliation mechanism's vital role within India's industrial relations framework. It attempts to assess the effectiveness of conciliation in reducing industrial conflicts, especially strikes, lockouts, retrenchments, layoffs, and closures in the industrial sector over the last decade. The secondary data coming from creditable sources, such as reports of the Ministry of Labour and Employment, Labour Bureau, and Indian Labour Journal, explains why conciliation plays a c...

Heat transfer problems of an insulated regular cubic box or sphere are important in engineering airconditioning and refrigeration systems, for example, refrigerator insulation or a nitrogen tank. This study analyzes the heat transfer characteristics of insulated and bare cubes using a one-dimensional approximate “sector method.” In this method, it is assumed that a small element of the cube is of the shape of a small element of an imaginary sphere with the center of the sphere at the cube's c...

Numerical simulations were conducted to understand the effect of property variations by changing the composition of the binary mixture on the thermal performance of the microchannel heat sink. To get the property variations, the properties of pure fluids are taken as dependent on temperature, and the binary mixture property variations are taken as dependent on the composition of the binary mixture. A constant heat flux is applied over the bottom wall of a square microchannel having a hydrauli...

Abalone Nacre (i.e. mother of pearl) is one of the natural biological composite which have outstanding ability to integrate a multitude of properties such as stiffness, strength, toughness and impact resistance. It is composed of hard aragonite platelets (CaCO3) glued with thin biopolymer matrix, in a ‘brick-and-mortar’ arrangement. The present work comprises of producing and evaluating the fracture properties of natural nacre like alumina/epoxy composites by taking a combinatorial approach o...

We extend the potential reconstruction technique to establish a dynamical Einstein-Born-Infeld-dilaton model, which serves as a framework for investigating the melting of holographic quarkonium under an applied magnetic field. The model’s nonlinearity enables the magnetic field to interact directly with the quarkonium’s internal structure, bypassing the need to introduce charged flavor degrees of freedom that backreact. By calculating the melting temperature from the spectral functions, we ob...

The brick-and-mortar structure of abalone nacre imparts exceptional durability, compressive strength and superior fracture toughness, serving as inspiration for the fabrication of lightweight, robust structural materials with superior mechanical properties. Replicating the intricate microstructural arrangement of nacre in bulk has been a fabrication challenge. Our study presents a scalable, bottom-up approach to fabricate a natural nacre-like Al2O3 platelets-PMMA (Polymethylmethacrylate) comp...

The paper investigates novel hardware architectures for PRESENT Block Cipher with the motivation of its applicability to IoT applications. PRESENT has been chosen for two reasons: firstly, it belongs to the lightweight cipher category, and secondly, existing works haven’t fully focused their attention on power metric optimization of this cipher. The Substitution Permutation Network (SPN) module of PRESENT cipher is optimized by modifying its datapath and utilizing additional hardware units th...