Application of the 2-archive multi-objective cuckoo search algorithm for structure optimization.

The study suggests a better multi-objective optimization method called 2-Archive Multi-Objective Cuckoo Search (MOCS2arc). It is then used to improve eight classical truss structures and six ZDT test functions. The optimization aims to minimize both mass and compliance simultaneously.

Doppler weather radars as a game changer in desert locust swarm tracking.

Desert locusts, notorious for their ruinous impact on agriculture, threaten over 20% of Earth's landmass, prompting billions in losses and global food scarcity concerns. With billions of these locusts invading agrarian lands, this is no longer a thing of the past. Recent invasions, such as those in India, where losses reached US$ 3 billion in 2019-20 alone, underscore the urgency of action.

Design and implementation of the fractional-order controllers for a real-time nonlinear process using the AGTM optimization technique.

Spherical tanks have been predominantly used in process industries due to their large storage capability. The fundamental challenges in process industries require a very efficient controller to control the various process parameters owing to their nonlinear behavior. The current research work in this paper aims to propose the Approximate Generalized Time Moments (AGTM) optimization technique for designing Fractional-Order PI (FOPI) and Fractional-Order PID (FOPID) controllers for the nonlinear Single Spherical Tank Liquid Level System (SSTLLS).

Genome-wide association mapping of biochemical traits and its correlation with MYMIV resistance in mungbean (Vigna radiata L. Wilczek).

The mungbean yellow mosaic India virus (MYMIV, Begomovirus vignaradiataindiaense) causes Yellow Mosaic Disease (YMD) in mungbean (Vigna radiata L.). The biochemical assays including total phenol content (TPC), total flavonoid content (TFC), ascorbic acid (AA), DPPH (2,2-diphenyl-1-picrylhydrazyl), and FRAP (Ferric Reducing Antioxidant Power) were used to study the mungbean plants defense response to MYMIV infection.

Optimizing demand response and load balancing in smart EV charging networks using AI integrated blockchain framework.

The integration of Electric Vehicles (EVs) into power grids introduces several critical challenges, such as limited scalability, inefficiencies in real-time demand management, and significant data privacy and security vulnerabilities within centralized architectures. Furthermore, the increasing demand for decentralized systems necessitates robust solutions to handle the growing volume of EVs while ensuring grid stability and optimizing energy utilization. To address these challenges, this paper presents the Demand Response and Load Balancing using Artificial intelligence (DR-LB-AI) framework.

Psychometric properties of the English and Hindi versions of the Brief Inventory of Thriving for use among Indian adolescents.

The Brief Inventory of Thriving (BIT) provides a holistic measure of well-being, but has only been validated for adults, and does not have a Hindi version. The present study investigated the unidimensional structure, internal consistency, convergent/discriminant, and criterion validity of both the original English version of the BIT (BIT-E) and its Hindi-translated version (BIT-H) among adolescents in India. Further, we tested measurement invariance across these two language versions, gender, and academic disciplines.

An innovative semiconducting Ni(II)-metallogel based robust random access memory (RRAM) device for advanced flexible electronics applications.

A highly effective method for creating a supramolecular metallogel of Ni(II) ions (NiA-TA) has been developed in our work. This approach uses benzene-1,3,5-tricarboxylic acid as a low molecular weight gelator (LMWG) in DMF solvent. Rheological studies assessed the mechanical properties of the Ni(II)-metallogel, revealing its angular frequency response and thixotropic behaviour.

Human migration from the Levant and Arabia into Yemen since Last Glacial Maximum.

While a broad consensus about the first successful migration modern humans out of Africa seems established, the peopling of Arabia remains somewhat enigmatic. Identifying the ancestral populations that contributed to the gene pool of the current populations inhabiting Arabia and the impact of their contributions remains a challenging task. We investigate the genetic makeup of the current Yemeni population using 46 whole genomes and 169 genotype arrays derived from Yemeni individuals from all geographic regions across Yemen and 351 genotype arrays derived from neighboring populations providing regional context.

Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival.

Cervical cancer is a deadly disease in women globally. There is a greater chance of getting rid of cervical cancer in case of earliest diagnosis. But for some patients, there is a chance of recurrence.

Use of large language models as artificial intelligence tools in academic research and publishing among global clinical researchers.

With breakthroughs in Natural Language Processing and Artificial Intelligence (AI), the usage of Large Language Models (LLMs) in academic research has increased tremendously. Models such as Generative Pre-trained Transformer (GPT) are used by researchers in literature review, abstract screening, and manuscript drafting. However, these models also present the attendant challenge of providing ethically questionable scientific information.

Graphene metamaterial solar absorber using Al-TiN-Fe for efficient solar thermal energy conversion and optimization using machine learning.

The contributed absorber design in graphene addition with the displacement of three materials for resonator design in Aluminum (Al), the middle substrate position with Titanium nitride (TiN), and the ground layer deposition by Iron (Fe) respectively. For the absorption validation highlight, the best four absorption wavelengths (µm) of 0.29, 0.

A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images.

Weather recognition is crucial due to its significant impact on various aspects of daily life, such as weather prediction, environmental monitoring, tourism, and energy production. Several studies have already conducted research on image-based weather recognition. However, previous studies have addressed few types of weather phenomena recognition from images with insufficient accuracy.

A comprehensive metabolome profiling of Terminalia chebula, Terminalia bellerica, and Phyllanthus emblica to explore the medicinal potential of Triphala.

Triphala is a traditional Ayurvedic herbal formulation composed of three fruits: amla (Phyllanthus emblica), bibhitaki (Terminalia bellerica), and haritaki (Terminalia chebula). Triphala is a potent Ayurvedic remedy that promotes digestion, detoxification, and overall wellness, while also providing antioxidant benefits through its trio of nutrient-rich fruits. In order to elucidate the individual contributions of the three ingredients of Triphala from molecular perspective, the individual ingredients were used for the untargeted LCMS/MS analysis.

Exploration of flame characteristics of gasoline engine fuelled by gasoline-pentanol blends using combustion endoscopy.

Alcohol-based fuels have shown high compatibility with spark-ignition (SI) engines, which require improvements in fuel efficiency and emissions reduction to meet modern environmental standards. While extensive research has been conducted on ethanol and other lower-order alcohols, there has been comparatively limited investigation into higher-order alcohols like butanol and pentanol as fuel alternatives. Previous studies on pentanol-gasoline blends in SI engines have demonstrated improved engine performance and reduced emissions.

Sustainability study and SWOT analysis of mixed biofuel blends in engine at various injection pressure analysed by experimentally and statistically.

This study aims to reduce engine emissions while maintaining engine performance and providing a sustainable fuel source for long-term use. It introduces a novel approach by combining pine oil (PO) and lemon grass oil (LGO) with diesel fuel in a specific ratio (10% PO + 10% LGO + 80% Diesel). This work is innovative in that it employs these two distinct low-viscosity biofuel blends in conjunction with diesel fuel in an agricultural engine, resulting in reduced carbon footprints in the tailpipe.

A multi-modal geospatial-temporal LSTM based deep learning framework for predictive modeling of urban mobility patterns.

Urban mobility prediction is crucial for optimizing resource allocation, managing transportation systems, and planning urban development. We propose a novel framework, GeoTemporal LSTM (GT-LSTM), designed to address the intricate spatiotemporal dynamics of urban environments. GT-LSTM integrates temporal dependencies with geographic information through a multi-modal approach that combines attention mechanisms and Recurrent Neural Networks (RNNs).

Multimodal cadmium resistance and its regulatory networking in Pseudomonas aeruginosa strain CD3.

Cadmium, a toxic heavy metal, poses significant global concern. A strain of the genus Pseudomonas, CD3, demonstrating significant cadmium resistance (up to 3 mM CdCl.HO) was identified from a pool of 26 cadmium-resistant bacteria isolated from cadmium-contaminated soil samples from Malda, India.

First-principles calculations to investigate thermoelectric, thermophysical, and optical properties of RNi₄P₁₂ (R = Sm, Eu) rare-earth metal skutterudites.

This study presents a comprehensive investigation into the intrinsic properties of RNiP (where R = Sm, Eu) filled skutterudite, employing the full-potential linearized augmented plane wave method within density functional theory (DFT) simulations using the WIEN2k framework. Structural, phonon stability, mechanical, electronic, magnetic, transport, thermal, and optical properties are thoroughly explored to provide a holistic understanding of these materials. Initially, the structural stability of SmNiP and EuNiP is rigorously evaluated through ground-state energy calculations obtained from structural optimizations, revealing a preference for a stable ferromagnetic phase over competing antiferromagnetic and non-magnetic phases.

Strength, durability, and economic analysis of GGBS-based geopolymer concrete with silica fume under harsh conditions.

Geopolymer concrete (GPC) offers a sustainable alternative by eliminating the need for cement, thereby reducing carbon dioxide emissions. Using durable concrete helps prevent the corrosion of reinforcing bars and reduces spalling caused by chemical attacks. This study investigates the impact of adding 5, 10, and 15% silica fumes (SF) on the mechanical and durability properties of GPC cured at 60 °C for 24 h.

Nesfatin-1 as a crucial mediator of glucose homeostasis in the reptile, Hemidactylus flaviviridis.

Nesfatin-1 is a crucial regulator of energy homeostasis in mammals and fishes, however, its metabolic role remains completely unexplored in amphibians, reptiles, and birds. Therefore, present study elucidates role of nesfatin-1 in glucose homeostasis in wall lizard wherein fasting stimulated hepatic nucb2/nesfatin-1, glycogen phosphorylase (glyp), phosphoenolpyruvate carboxykinase (pepck), and fructose 1,6-bisphosphatase (fbp), while feeding upregulated pancreatic nucb2/nesfatin-1 and insulin, suggesting towards tissue-specific dual role of nesfatin-1 in glucoregulation. The glycogenolytic/gluconeogenic role of nesfatin-1 was further confirmed by an increase in media glucose levels along with heightened hepatic pepck and fbp expression and concomitant decline in liver glycogen content in nesfatin-1-treated liver of wall lizard.

Synthesis and performance evaluation of ZnO/CdS photoanodes with copper sulfide (CuS) and carbon counter electrodes.

The present study demonstrates the synthesis of compact ZnO layers using CdS sensitized on ZnO as a photoanode with copper sulfide (CuS) and carbon as a counter electrode (CE). In this study, a compact ZnO layer was fabricated using the simple and low-cost successive ionic layer adsorption and reaction (SILAR) method, and CuS CE films were synthesized using the chemical bath deposition method. Various characterizations, such as X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS), confirmed the formation of ZnO and CdS sensitizations on the ZnO .

Secondary nucleation guided noncovalent synthesis of dendritic homochiral superstructures via growth on and from surface.

Secondary nucleation is an emerging approach for synthesizing higher-order supramolecular polymers with exciting topologies. However, a detailed understanding of growth processes and the synthesis of homochiral superstructures is yet to be demonstrated. Here, we report the non-covalent synthesis of dendritic homochiral superstructures using NIR triimide dyes as building blocks via a secondary nucleation elongation process.

Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits.

Millimeter-wave and terahertz integrated circuits and chips are expected to serve as the backbone for future wireless networks and high resolution sensing. However, design of these integrated circuits and chips can be quite complex, requiring years of human expertise, careful tailoring of hand crafted circuit topologies and co-design with parameterized and pre-selected templates of electromagnetic structures. These structures (radiative and non-radiative, single-port and multi-ports) are subsequently optimized through ad-hoc methods and parameter sweeps.

Morphological, Anatomical, and Histochemical Study of Cordia diffusa K.C. Jacob-A Steno Endemic Plant.

Cordia diffusa K.C. Jacob, known as Sirunaruvili, belonging to the family Boraginaceae, is a rare endemic species.

Mortality in Haemophilia Patients in India: A National Cohort Study.

Introduction: Mortality and morbidity in persons with haemophilia (PWH) have decreased due to improved diagnosis and treatment along with comprehensive population outreach efforts, but the impact is not uniform in different countries.

Aim: The study aims to assess all-cause and intracranial haemorrhage (ICH)-specific mortality of PWH in India.

Methods: This is a retrospective, observational, multi-centric cohort study of 1020 haemophilia patients from three centres in India.