Electrochemical polymerized DL-phenylalanine modified carbon nanotube sensor for the selective and sensitive determination of caffeic acid with riboflavin.

In this study, DL-phenylalanine modified with a multiwall carbon nanotube paste electrode is used as advanced electrochemical sensor for analysing of 0.1 mM caffeic acid (CFA) with simultaneous detection of riboflavin (RFN). The developed sensors include electrochemically polymerized DL-phenylalanine (DL-PA) modified multiwall carbon nanotube paste electrode [DL-PAMMCNTPE] and bare multiwall carbon nanotube paste electrode [BMCNTPE].

Temporal trends and predictive modeling of air pollutants in Delhi: a comparative study of artificial intelligence models.

Air pollution monitoring and modeling are the most important focus of climate and environment decision-making organizations. The development of new methods for air quality prediction is one of the best strategies for understanding weather contamination. In this research, different air quality parameters were forecasted, including Carbon Monoxide (CO), Nitrogen Monoxide (NO), Nitrogen Dioxide (NO), Ozone (O), Sulphur Dioxide (SO), Fine Particles Matter (PM), Coarse Particles Matter (PM), and Ammonia (NH).

Advanced control strategy for AC microgrids: a hybrid ANN-based adaptive PI controller with droop control and virtual impedance technique.

In this paper, an improved voltage control strategy for microgrids (MG) is proposed, using an artificial neural network (ANN)-based adaptive proportional-integral (PI) controller combined with droop control and virtual impedance techniques (VIT). The control strategy is developed to improve voltage control, power sharing and total harmonic distortion (THD) reduction in the MG systems with renewable and distributed generation (DG) sources. The VIT is used to decouple active and reactive power, reduce negative power interactions between DG's and improve the robustness of the system under varying load and generation conditions.

Green synthesis and characterization of CuO/PANI nanocomposite for efficient Pb (II) adsorption from contaminated water.

This study presents the synthesis of a green polymer-based nanocomposite by incorporating green CuO nanoparticles into polyaniline (PANI) for the adsorption of Pb (II) ions from contaminated water. The nanocomposite was extensively characterized using FTIR, XRD, BET, SEM-EDX, XPS, and Raman spectroscopy, both before and after Pb(II) adsorption. Optimization studies were performed to assess the effects of key parameters, including pH, adsorbent dosage, and initial ion concentration on the adsorption process.

Hybrid optimization for efficient 6G IoT traffic management and multi-routing strategy.

Efficient traffic management solutions in 6G communication systems face challenges as the scale of the Internet of Things (IoT) grows. This paper aims to yield an all-inclusive framework ensuring reliable air pollution monitoring throughout smart cities, capitalizing on leading-edge techniques to encourage large coverage, high-accuracy data, and scalability. Dynamic sensors deployed to mobile ad-hoc pieces of fire networking sensors adapt to ambient changes.

Hybrid Mexican axolotl and bitterling fish optimization algorithm-based spectrum sensing multi‑hop clustering routing protocol for cognitive sensor networks.

In clustered cognitive radio sensor networks (CRSNs), availability of free channels, spectrum sensing and energy utilization during clustering and cluster head (CH) selection is essential for fairness of time and event-driven data traffic. The existing multi-hop routing protocols in CRSNs generally adopt a perfect spectrum sensing which is not same in the practical spectrum sensing of nodes in real networks. High imbalance in residual energy between the selected CHs negatively impacts the delivery of data packets.

High isolated 8-port MIMO antenna and 16-port massive antenna for mm wave (5G NR-n260) applications in time division duplex mode.

In this article an 8-port annular ring-shaped MIMO antenna for 5G and 5G advanced applications is presented. An annular ring on the radiating plane and novel isolator structure on the ground plane are etched over a Rogers RT/Duorid (5870 tm) substrate to achieve high performance antenna for mm wave applications. A systematic study is performed, and an optimized single port antenna (Design-4) is selected among Designs (1-4).

Hybridization of synergistic swarm and differential evolution with graph convolutional network for distributed denial of service detection and mitigation in IoT environment.

Enhanced technologies of the future are gradually improving the digital landscape. Internet of Things (IoT) technology is an advanced technique that is quickly increasing owing to the development of a network of organized online devices. In today's digital era, the IoT is considered one of the most robust technologies.

Assessment of surface treatment methods for strengthening the interfacial adhesion in CARALL fiber metal laminates.

Metal and polymer interface bonding significantly influences the mechanical performance of fiber metal laminates (FMLs). Therefore, the effect of surface treatments (mechanical abrasion, nitric acid etching, P2 etching, sulfuric acid anodizing (SAA), and electric discharge machine (EDM) texturing) carried on aluminum 2024-T3 alloy sheets was evaluated considering surface morphology, surface topography, and surface roughness. Further, the influence of surface treatments on interfacial adhesion strength and failure mode between the aluminum alloy and carbon fiber prepreg was investigated.

Experimental and explainable machine learning approach on thermal conductivity and viscosity of water based graphene oxide based mono and hybrid nanofluids.

This study explores the thermal conductivity and viscosity of water-based nanofluids containing silicon dioxide, graphene oxide, titanium dioxide, and their hybrids across various concentrations (0 to 1 vol%) and temperatures (30 to 60 °C). The nanofluids, characterized using multiple methods, exhibited increased viscosity and thermal conductivity compared to water, with hybrid nanofluids showing superior performance. Graphene oxide nanofluids displayed the highest thermal conductivity and viscosity ratios, with increases of 52% and 177% at 60 °C and 30 °C, respectively, for a concentration of 1 vol% compared to base fluid.

Fuzzy APPSS: A novel method for quantifying COVID-19 impact in India under triangular spherical fuzzy environment.

In the current scenario, decision-making models are essential for analyzing real-world problems. To address the dynamic nature of these problems, fuzzy decision-making models have been proposed by various researchers. However, an advanced technique is needed to assess uncertainty in real-time complex situations.

A robust MPPT framework based on GWO-ANFIS controller for grid-tied EV charging stations.

As electric vehicles gain popularity, there has been a lot of interest in supporting their continued development with the aim of enhancing their dependability, environmental advantages, and charging efficiency. The scheduling of navigation and charging for electric vehicles is among the most well-known research topics. For optimal navigation and charging scheduling, the coupled network state between the transportation and power networks must be met; moreover, the scheduling outcomes might significantly impact these networks.

Changes in sex composition of births across regions and subgroups in India from an analysis of birth histories from National Family Health Surveys.

India has consistently had one of the highest birth sex ratios (i.e., most males per female) globally.

Talbot effect based sensor measuring grating period change in subwavelength range.

Talbot length, the distance between two consecutive self-image planes along the propagation axis for a periodic diffraction object (grating) illuminated by a plane wave, depends on the period of the object and the wavelength of illumination. This property makes the Talbot effect a straightforward technique for measuring the period of a periodic object (grating) by accurately determining the Talbot length for a given illumination wavelength. However, since the Talbot length scale is proportional to the square of the grating period, traditional Talbot techniques face challenges when dealing with smaller grating periods and minor changes in the grating period.

Fitness costs associated with laboratory induced resistance to chlorpyrifos in Spodoptera litura.

Spodoptera litura (Fabricius) is a major polyphagous pest of global relevance due to the damage it causes to various crops. Chlorpyrifos (CPF) is generally used by farmers to manage S. litura, however, its widespread use has resulted in the development of insecticide resistance.

Secure cloud computing: leveraging GNN and leader K-means for intrusion detection optimization.

Over the past two decades, cloud computing has experienced exponential growth, becoming a critical resource for organizations and individuals alike. However, this rapid adoption has introduced significant security challenges, particularly in intrusion detection, where traditional systems often struggle with low detection accuracy and high processing times. To address these limitations, this research proposes an optimized Intrusion Detection System (IDS) that leverages Graph Neural Networks and the Leader K-means clustering algorithm.

Extraction and chemical characterization of humic acid produced from lignite coals of arid region of Gujarat, Western India.

In the current study, extraction of humic acid (HAs) from lignite fines of kutch basin of Gujarat (western India) were reported. The extraction was done by International Humic Substances Society (IHSS) method. Several analytical and spectroscopic techniques were used to characterize of extracted HAs.

Investigation of functional characteristics of copper/copper oxide nanoparticles synthesized with Moringa oleifera and Musa sps. extracts: in-vitro and porcine study.

The study analyzed the aqueous leaf extracts of Moringa oleifera and Musa sps. for phytochemical components, including flavonoids, sterols, saponins, tannins, and glycosides. The LC-MS analysis revealed gingerol, vicenin-2, caffeic acid, quercetin, and other compounds in the extracts.

Polarised crowd in motion: insights into statistical and dynamical behavior.

The collection of active agents often exhibits intriguing statistical and dynamical properties, particularly when considering human crowds. In this study, we have developed a computational model to simulate the recent experiment on real marathon races by Bain et al. (Science 363:46-49, 2019).

Amelioration of cognition by hesperidin-conjugated cobalt oxide nanoparticles.

Diabetes mellitus is one of the metabolic syndromes that is associated with cognitive deficit, dementia, and Alzheimer's disease (AD) like pathology due to impaired insulin-signalling in the brain, oxidative stress and mitochondrial dysfunction. Nanotechnology is one of the most promising techniques for targeting the brain. However, the toxicity of metal nanoparticles is one of the biggest challenges to be studied.

Topology synthesis of coupled inductor based four port DC-DC converter for multi-input PV-battery application with autonomous mode selection.

Multiport converters are the most reliable and integral component for latest renewable source integration with multiple inputs. This article is one among the kind, which proposes a novel Coupled Inductor based Four Port topology Multiport Converter (CI-FP-MPC) for integrating multiple PV sources with different voltages. The adoption of coupled inductor contributes an increased voltage gain with reduced stress on the switches and diodes.

Nanocomposite based slow release atrazine effectively controlled Striga asiatica incidence, and enhanced sugarcane yield.

Sugarcane is a major industrial crop highly susceptible to parasitic weed (Striga spp.), causing a 38% reduction in cane yield due to a longer lag phase of 20-40 days, and wider spacing. Herbicides with a longer retention and slow-release nature could allow Striga seeds to germinate and be killed before attaching to the host.

Influence of bio fillers on the characteristics of Luffa acutangula fiber reinforced polymer composites and parametric optimization using Taguchi technique.

Developing novel materials is an essential requirement in the engineering field. This study investigates the effects of incorporating wood dust particles on the mechanical and erosive wear properties of Luffa acutangula fiber (LAF)-reinforced phenol-formaldehyde composites, fabricated using the hand layup method with a constant 20% fiber content and varying wood dust particle contents of 0%, 10%, 20%, and 30%. Using the Taguchi method, the study identifies the optimal combination for minimizing erosive wear - 20% wood dust content, 45 m/s impact velocity, 60° impingement angle, 600 μm erodent size, and 60 mm standoff distance-achieving a minimum erosion rate of 189.

Innovative modified-net architecture: enhanced segmentation of deep vein thrombosis.

A new era for diagnosing and treating Deep Vein Thrombosis (DVT) relies on precise segmentation from medical images. Our research introduces a novel algorithm, the Modified-Net architecture, which integrates a broad spectrum of architectural components tailored to detect the intricate patterns and variances in DVT imaging data. Our work integrates advanced components such as dilated convolutions for larger receptive fields, spatial pyramid pooling for context, residual and inception blocks for multiscale feature extraction, and attention mechanisms for highlighting key features.

Standardization of an analytical technique for determination of pesticide residues in fresh and processed button mushroom Agaricus bisporus (Lange) Imbach.

An efficient modified QuEChERS procedure was established for the simultaneous determination of 37 pesticide residues in fresh and processed edible button mushroom by employing GC/ GC-MS and LC-MS/MS. The effectiveness, reliability and accuracy of the method were assessed through validation parameters such as linearity, LOD, LOQ, precision, accuracy, uncertainty, and matrix effect. The linearity calibration for all the selected pesticides at standard concentrations (0.