Carbon Nanotube (CNT) based polymer composites are the next generation materials paving their pathway for various scientific and technological applications. Owing to CNT’s extraordinary mechanical strength, high electrical and thermal parameters, large surface area, and unique optical properties, CNT polymer nanocomposites (PNCs) are being employed recently in automotive, aerospace, energy sector, sporting goods and biomedical usages. The employment of novel PNC material begins with fabricati...

Rare earth elements (REE), comprise of 15 stable elements of the lanthanide series together with yttrium (Y) and scandium (Sc), have been considered as critical raw materials for wide ranges of modern technological applications in different sectors such as electronics, chemical, energy, automotive, and defence industries. However, REE deposits are very limited and only a few commercial deposits are currently being extracted worldwide. Due to the economic importance of REEs and their limited s...

Supramolecular polymers (SPs), emerging as non-covalent analogs of traditional covalent polymers, consist of small molecular monomers interconnected through directional and reversible non-covalent interactions, such as hydrogen bonding and metal-ligand coordination.¹ These interactions give rise to one-dimensional molecular aggregates with dynamic and stimuli-responsive properties. The strategic design of monomers plays a pivotal role in promoting efficient supramolecular polymerization by st...

This study examines the impact of weather factors on free space optics (FSO) transmission performance using OptiSystem21 models. The study investigated lasers working at 650 nm, 910 nm, and 1550 nm wavelengths in various settings, viewing levels, data speeds, and link distances. This work assessed the data transit quality using key parameters such as the Q-factor and the bit error rate (BER). Our findings underlined the importance of fog, a frequent meteorological condition that disrupts free...

Neuromarketing is a market research method that utilizes the measurement of neurological and physiological signals to comprehend customers' decisions, motivations, and preferences. These decisions may lead to societal consequences, thus necessitating careful examination. Moreover, little is known about how the experts utilized Neuromarketing to assist governments and businesses during the pandemic. Therefore, this study aims to uncover how neuromarketing as a strategic tool assisted both bran...

COVID-19 is one of the most contagious diseases in the 21st century. This paper examines different computer-aided screening techniques for COVID-19 detection from chest X-ray images. In this study, hybrid methods employing transfer learning, fusion of deep features and/or handcrafted features with shallow machine learning classifiers are used for COVID-19 detection. Eight pre-trained convolutional neural network (CNN) models such as AlexNet, MobileNetV2, DenseNet201, InceptionV3, ResNet50, Ef...

This study investigates the configuration of supporting ribs for spaceborne foldable solid reflector antennas, with a particular focus on their natural frequency of vibration. Supporting ribs play a crucial role in these aspects by ensuring that the antenna maintains its intended shape during deployment and in orbit. However, dynamic forces, including launch vibrations and in-orbit disturbances, can excite the natural frequencies of the antenna structure, leading to potential deformation or f...

Gli1 is a downstream transcriptional factor of Sonic hedgehog pathway in mammalians, and has been recognized as a proliferative indicator of carcinogenesis. However, its actual role in patient prognosis and cancer stemness in oral cancer remains unclear. Therefore, we carried out an analysis to understand the association between Gli1 expression and clinical prognosis in oral cancer patients. Expression of GLI1 was found to be significantly higher in oral cancer patient tissues compared to mat...

The Artificial Magnetic Conductor (AMC) concept presented in this study is intended to achieve in-phase reflection over broad bandwidth. The AMC unit cell incorporates a star-shaped patch with an octagonal slot on FR4 substrate and an air gap that separates the ground plane from the substrate. The proposed AMC unit-cell is optimized to achieve the in-phase reflection at frequency 2.4 GHz, with a bandwidth of 51.5% ranging from 1.83 to 3.10 GHz. The evolution steps and parameter variations in ...

The ubiquitous prevalence and non-degradable nature of microplastics cause severe environmental and health hazards. LDPE microplastics absorb and transport toxic chemicals such as pesticides, Persistent Organic Pollutants (POP), and pathogenic microbes, posing ecological threats. This study explores a sustainable solution through green microbiology for the remediation of white pollution. Here, a total of 52 bacterial isolates were isolated from the municipal solid waste dump sites in Rourkela...

Purpose: This paper explores the factors influencing the intention of customers to adopt Central Bank Digital Currency (CBDC) in developing countries such as India. It uses the extended UTAUT model to examine how digital financial literacy and perceived anonymity influence customer willingness to adopt CBDC. This paper also aims to investigate the mediating role of perceived privacy riskiness. Design/methods/approach: The data was collected through an online survey of m-payment users. In tot...

This paper aims to explore the influence of brand attachment, engagement, and judgment on attitude towards masstige brands, i.e., Starbucks and Costa Coffee. Additionally, the researchers investigate the masstige brand and masstige value by using MMSS. In doing so, the researchers have collected 255 samples through structured questionnaires from high-density cities in India. Moreover, the collected data was analysed using Smart-PLS-4. Thus, the results show that all the hypotheses were suppor...

This paper compares the efficacy of classical topic modeling approaches namely the Latent Dirichlet Allocation (LDA) and Non-Negative Matrix Factorization (NMF) with their respective word embedding enhanced techniques. The LDA and NMF are based on word frequency and co-occurrence patterns, but ignore the semantic similarity between words. To address these limitations, the proposed methods enhance the LDA and NMF with Word2Vec embeddings by capturing the semantic relationships, and overseeing ...

This paper provides deep learning techniques for Super Resolution (SR) of a single infrared image. Recent advancements in deep learning have significantly enhanced SR techniques. Infrared (IR) image super-resolution holds great potential for improving applications like object detection and classification by recovering finer image details. In this work, we propose a Generative Adversarial Network (GAN)-based model tailored for IR image SR utilizing residual blocks, subpixel convolutions and ba...

Oil-in-water (O/W) emulsions in food products can reduce the high intake of solid fats and hence can be used as a fat substitute. It is also used for the enhancement of textural attributes of food products, encapsulation and control release of the bioactives. However, emulgels fabricated solely by protein shows less stability against environmental factors like pH and temperature and is more prone to lipid oxidation. This study explores the development of deccan hemp seed protein-based emulgel...

The need for novel modulation techniques has increased significantly because of the data throughput requirements, reliability, and flexibility of fifth-generation (5G) cellular systems. The wireless cellular networks beyond 5G and sixthgeneration (6G) aim to assist reliable communications in highspeed applications. Orthogonal time frequency space (OTFS), the recently proposed modulation technique has emerged as a potential solution to fulfill the diverse requirements of futuregeneration wirel...

In the deltaic region of the Sundarbans, India, human settlements have traditionally relied on constructing embankments along riverbanks to prevent flooding in inhabited areas. These embankments often experience toe undercutting due to swirling currents, tidal surges, and strong winds, which eventually leads to their failure. To mitigate erosion, bamboo logs are commonly used to cover the embankment face, as bamboo is locally abundant and cost-effective. However, field investigations reveal t...

The primary aim of this study is to design and analyze an Energy Management System (EMS) for a DC motor drive. The system under consideration features a primary energy source, a Fuel Cell (FC) supplemented by a battery storage system. Battery supplements power requirements during starting and energy recovery through regenerative braking. The system has two DC-DC converters: one unidirectional boost converter connected to FC and another bidirectional converter connected to the battery for both...

Background: Traditional knowledge is defined broadly as a cumulative, collective body of knowledge, experience, and values held by societies with a subsistence history. Traditional knowledge-based medicine (TKBM) has a long history across the globe, including India, and traditional healthcare systems have thrived for centuries. However, indigenous medical practices have been severely challenged by the influence of modern-day medical sciences and technologies, which also have their advantages ...