Advances in cellulosic natural fibre-reinforced polymer composites: Properties, additive manufacturing and hybridisation - A review.

This review critically examines the rapidly advancing field of cellulosic natural fibre-reinforced polymer (NFRP) composites, with a particular emphasis on material innovation aligned with sustainability and environmental responsibility. The review presents a systematic analysis of recent literature evaluating the mechanical, thermal, water absorption, wear, and machining characteristics of NFRP composites, as well as the influence of advanced processing approaches such as additive manufacturing. Special attention is given to the structure-property relationships and hybridisation strategies employed to address limitations such as relatively lower mechanical performance and durability compared to synthetic fibre composites.

Performance improvement of solar still by water mass splitting arrangement.

The study explored the use of a black rubber mat as a cost-effective material for energy storage and water splitting, and its potential for enhancing potable water production. In this research, a solar still (SS) and a modified version incorporating a rubber mat were designed and tested. The rubber mat was placed at the bottom of the conventional tubular SS, and the performance of the experimental work was evaluated on 09-10-2019, from 8:00 am to 6:00 pm.

Propagation of extreme events in multiplex neuronal networks.

In previous studies, the propagation of extreme events across nodes in monolayer networks was studied extensively. In this work, we extend this investigation to explore the propagation of extreme events between two distinct layers in a multiplex network. We consider a two-layer network, where one layer is globally coupled and exhibits extreme events, while the second layer remains uncoupled.

Spin-torque nano-oscillators for reservoir computing applied to time-series data.

Recent investigations have discovered the potential of high-dimensional nonlinear systems for predicting nontemporal and temporal tasks. The prediction is demonstrated here for an asymmetrical seventh-degree polynomial and time series of variables in Rössler system by using spin-torque nano oscillator (STNO) as a reservoir corresponding to the nontemporal and temporal tasks, respectively. For training, the inputs are supplied through the bifurcation parameters, (i) magnitude of the alternating current (AC) passed through the STNO and (ii) the frequency with which the AC is applied.

Interplay of flux-controlled memristive synapse and Josephson junction properties in modified Morris-Lecar neuron dynamics.

In this work, we investigate the role of magnetic flux and Josephson junction (JJ) properties in the network of modified Morris Lecar (mML) neuron model. We begin our analysis by plotting bifurcation and Lyapunov spectrum for single coupled mML model. It exhibits both periodic and hyperchaotic dynamics for specific parameter ranges when considering both flux and the Josephson junction.

A successive framework for brain tumor interpretation using Yolo variants.

Accurate identification and segmentation of brain tumors in Magnetic Resonance Imaging (MRI) images are critical for timely diagnosis and treatment. MRI is frequently used to diagnose these disorders; however medical professionals find it challenging to manually evaluate MRI pictures because of time restrictions and unpredictability. Computerized methods such as R-CNN, attention models and earlier YOLO variants face limitations due to high computational demands and suboptimal segmentation performance.

Investigation of dry sliding wear and mechanical properties of hybrid epoxy composites reinforced with pineapple leaf and roselle fibers.

Natural fiber composites have gained significant potential in past decades due to their favorable physical properties and mechanical characteristics. Pineapple leaf fibers and roselle fibers are abundant agricultural wastes and tend to be recycled to minimize environmental pollution. The present work aims to investigate and analyze the effects of reinforcing pineapple leaf fiber (PALF) and roselle fiber with epoxy hybrid composites.

Unraveling the potential of MoTiCT MXene nanosheets in hierarchical heterostructures for enhancing electrocatalytic overall water splitting and urea electrolysis.

The rational design of economical and highly active multifunctional electrocatalysts is urgently needed for producing sustainable hydrogen. Here, we introduce a novel heterostructured electrocatalyst (NFM) by integrating NiCoO and FeCoS with MoTiCT-MXene nanosheets on a nickel foam substrate for the robust electrocatalytic water splitting and urea oxidation. Notably, the optimized NFM electrocatalyst achieves an impressive activity, requiring ultra-low overpotentials of 58.

Machinability analysis of LM26 aluminium metal matrix composites reinforced with graphite and fly ash using the AWJM process.

The incorporation of various reinforcements in aluminium composites markedly improves their thermal, mechanical, and wear characteristics when compared to composites with a single reinforcement. Nevertheless, heightened hardness presents challenges in machining, rendering traditional methods less efficient for obtaining high-quality cuts. This study explores the application of Abrasive Water Jet Machining (AWJM) on aluminium alloy LM26 hybrid composites that are reinforced with graphite and fly ash, which were manufactured through stir casting.

Integrating Regression and Boosting Techniques for Enhanced River Water Quality Monitoring in the Cauvery Basin: A Seasonal and Sustainable Approach.

This study addresses a critical research gap in water quality monitoring, specifically within the Cauvery River basin, where substantial contamination poses significant risks to both human health and aquatic ecosystems. The paper introduces an effective and sustainable river water quality monitoring system, termed MLRMC-WQM (Multiple Linear Regression and Multi-class CatBoost-based Water Quality Monitoring). The system leverages Linear Regression to predict basic water quality parameters based on straightforward relationships, while CatBoost refines these predictions by capturing more complex, nonlinear relationships.

Transition to synchronization in functional brain networks of children suffering from ADHD.

The synchronization phenomenon is one of the crucial collective behaviors of the brain network, with its abnormal patterns in the brain networks of individuals with mental disorders like attention deficit hyperactivity disorder (ADHD) capturing the interest of researchers. ADHD is a prevalent disorder among children, which is linked to adverse outcomes such as impaired recognition of others' emotional facial expressions, leading to awkward social interactions. Despite numerous studies focusing on the synchronization analysis of brain networks in ADHD children while observing emotional facial expressions, the path to synchronization in these networks has been overlooked.

Process parameter optimization for minimizing overcut in abrasive waterjet deep hole drilling of SS 316L.

The need for precise manufacturing in aerospace, medical, and automotive industries requires an investigation of upscale drilling methods that can achieve small-diameter deep holes with exceptional accuracy. Abrasive Waterjet Drilling (AWJD) has developed as a promising technology due to its distinctive blend of precision and adaptability. Despite several advantages, overcutting is the fundamental obstacle restricting the widespread use of AWJD.

Extreme events in gene regulatory networks with time-delays.

This work explores distinct complex dynamics of simplified two nodes of coupled gene regulatory networks with multiple delays in two self-inhibitory and mutually activated genes. We have identified the emergence of extreme events within a specific range of system parameter values. A detailed analysis of the time delay-induced emergence of extreme events is illustrated using bifurcation analysis, two-parameter phase diagrams, return maps, temporal plots, and probability density functions.

Adaptive speed control of BLDC motors for enhanced electric vehicle performance using fuzzy logic.

This study investigates the use of a closed-loop speed control approach based on fuzzy logic for brushless DC (BLDC) motors in Electric Vehicle (EV) applications. The primary objective is to overcome the drawbacks of traditional control techniques by improving dynamic performance, response time, and stability under changing load conditions and parameter uncertainty. Nonlinearities, load fluctuations, and transient overshoots are common problems for traditional PID controllers, which results in suboptimal performance of EV propulsion systems.

Extreme events in the Higgs oscillator: A dynamical study and forecasting approach.

Many dynamical systems exhibit unexpected large amplitude excursions in the chronological progression of a state variable. In the present work, we consider the dynamics associated with the one-dimensional Higgs oscillator, which is realized through gnomonic projection of a harmonic oscillator defined on a spherical space of constant curvature onto a Euclidean plane, which is tangent to the spherical space. While studying the dynamics of such a Higgs oscillator subjected to damping and an external forcing, various bifurcation phenomena, such as symmetry breaking, period doubling, and intermittency crises are encountered.

Nuclear power plant waste heat opens a window of next-generation desalination hybridization: a SOAR-based review.

This review examines the potential for utilizing nuclear power plant (NPP) waste heat in hybrid desalination systems, focusing on Reverse Osmosis-Low-Temperature Evaporation (RO-LTE) driven by renewable energy sources and atomic waste heat. By employing a SOAR (Strengths, Opportunities, Aspirations, Results) analysis, the study evaluates the integration of NPP waste heat into various desalination technologies, emphasizing the environmental benefits and energy efficiency improvements. Fundamental aspirations include advancements in material science and heat exchanger designs, which enhance heat transfer and evaporation processes.

A novel MAC protocol for power line communication with integrated NFC for smart home applications.

Our day-to-day lives have become comfortable and sophisticated with many recent technologies. Likewise, today's world has been enhanced by new innovative technologies. Everyone is moving towards smart cities and smart homes.

Investigating and Multi-Objective Optimizing WEDM Parameters for Al6061/Mg/MoS Composites Using BBD and NSGA-II.

This study aims to optimize the Wire Electrical Discharge Machining (EDM) process parameters for aluminum 6061 alloy reinforced with Mg and MoS using the Box-Behnken (BBD) design and the non-dominated sorting genetic (NSGA-II) algorithm. The objective is to enhance the machining efficiency and quality of the composite material. The Box-Behnken (BBD) design was utilized to design a set of experiments with varying levels of process parameters, comprising pulse-on time, servo volt, and current.

Effect of a self-assembled 3D flower-like hierarchical architecture on the thermoelectric properties of Ag-doped BiS.

Powder samples of BiS and Ag-doped BiS compounds were successfully synthesized the solvothermal method. The synthesized powders were consolidated using the cold-press method and annealed at 300 °C for 3 h. The cross-sections of the consolidated samples exhibited a densely packed hierarchical architecture micro-flower-like morphology.

Optimization of process parameters of catalytic pyrolysis using natural zeolite and synthetic zeolites on yield of plastic oil through response surface methodology.

This study aims to reach a sustainable solution for waste management of medical plastics through value-added product extraction. It uses the DOE technique to examine the effect of natural zeolite and synthetic AlO and SiO as catalysts. A small lab-scale pyrolysis setup was used for medical plastic waste management treatment.

Integrating deep learning techniques for effective river water quality monitoring and management.

Effective river water quality monitoring is essential for sustainable water resource management. In this study, we established a comprehensive monitoring system along the Kaveri River, capturing real-time data on multiple critical water quality parameters. The parameters collected encompassed water contamination levels, turbidity, pH measurements, temperature, and total dissolved solids (TDS), providing a holistic view of river water quality.

Effect of powder composition, PTAW parameters on dilution, microstructure and hardness of Ni-Cr-Si-B alloy deposition: Experimental investigation and prediction using machine learning technique.

The implementation of hard-facing alloy on the existing materials caters the need for high-performance surfaces in terms of wear and high temperatures. The present research explore the effect of Plasma Transferred Arc Welding (PTAW) parameters and powder composition on dilution, microstructure and hardness of the commonly used hard-facing alloy Ni-Cr-Si-B powder. The hard-facing alloy was deposited with three weight proportions of boron (2.

Contrasting Magnetic Characteristics of Disordered NdBaMnFeO and 112-Type Ordered NdBaMnFeO Perovskites.

The magnetic properties of disordered NdBaMnFeO and ordered NdBaMnFeO perovskites were investigated through temperature- and field-dependent DC-magnetization measurements. The temperature dependence of magnetic susceptibilities revealed that antiferromagnetic ordering occurs at temperatures below 185 K for the disordered NdBaMnFeO sample, whereas the ordered NdBaMnFeO perovskite exhibited a paramagnetic state throughout the entire temperature range examined. Notably, the disordered sample exhibited a glassy state, even at room temperature, which transformed into an antiferromagnetic state under higher applied magnetic fields.