Influence of suspended cenospheres on the mechanical characteristics and wear loss of natural fiber-reinforced hybrid composites: implications for biomedical applications and sustainable material management.

The need for non-conventional natural fibres for synthesis of hybrid composites has gained momentum in the recent past. Taking into consideration this need, in the current study, hybrid composites were fabricated by reinforcing wood apple shell powder and coconut shell powder, in the resin with varying amounts of cenospheres (up to 20 wt% in increments of 5 wt%) to evaluate their mechanical and tribological properties. The densities of these composites were directly correlated with the quantity of additives utilized.

Mechanical, fatigue and super plasticity properties of Cu-Al-Mn, Cu-Al-Be-Mn shape memory alloy and their metal matrix composites.

This study explores the characteristics and potential engineering applications of Cu-Al-Mn and Cu-Al-Be-Mn shape memory alloys (SMAs). The research investigates the chemical composition, transformation temperatures, and mechanical properties of these SMAs when incorporated into Al metal matrix composites (MMCs). It was found that the addition of Mn and Be, has a significant impact on the performance of Cu-Al alloys.

Skyrmion-mediated nonvolatile ternary memory.

Multistate memory systems have the ability to store and process more data in the same physical space as binary memory systems, making them a potential alternative to existing binary memory systems. In the past, it has been demonstrated that voltage-controlled magnetic anisotropy (VCMA) based writing is highly energy-efficient compared to other writing methods used in non-volatile nano-magnetic binary memory systems. In this study, we introduce a new, VCMA-based and skyrmion-mediated non-volatile ternary memory system using a perpendicular magnetic tunnel junction (p-MTJ) in the presence of room temperature thermal perturbation.

Synergistic advances in natural fibre composites: a comprehensive review of the eco-friendly bio-composite development, its characterization and diverse applications.

In recent years, there has been enhanced interest in the domain of natural fibre composites (NFCs) because of their capacity to provide eco-compatible solutions to ever-increasing ecological concerns. This review provides an intensive assessment of the current situation with examination, progress, and applications concerning NFCs. Natural fibres, , jute, kenaf, ramie, banana, coir, wheat grass, , and their scope in the development of sustainable composites, techniques involved in the fabrication of the composites, characterization techniques, , thermo-mechanical and morphological, biodegradability, dampness retention attributes, and potential applications have been extensively reviewed and reported.

Influence of fly ash filler on the mechanical properties and water absorption behaviour of epoxy polymer composites reinforced with pineapple leaf fibre for biomedical applications.

This study explores the impact of fly ash (FA) filler on the mechanical, morphological, and water absorption properties of pineapple leaf fibre (PALF)-reinforced epoxy composites for biomedical applications. PALF, sourced from abundant agricultural waste, offers a sustainable alternative to synthetic fibres. Employing the hand layup process, varying wt% of FA (3%, 6%, and 9%) are incorporated into PALF-reinforced epoxy composites with different PALF concentrations (10%, 20%, and 30%).

A comparative study on biosynthesized silver nanoparticles from H. undatus fruit peel and their therapeutic applications.

The green synthesis of nanoparticles (NPs) gained significant impacts in various fields due to the use of eco-friendly approaches. In this study, silver nanoparticles (AgNPs) were synthesized from the aqueous extract of Hylocereus undatus fruit peel. The presence of AgNPs was analysed using characterization methods such as UV‒Vis, FTIR, GCMS, XRD, EDAX, and FESEM.

Plain-Woven Areca Sheath Fiber-Reinforced Epoxy Composites: The Influence of the Fiber Fraction on Physical and Mechanical Features and Responses of the Tribo System and Machine Learning Modeling.

Recent studies focus on enhancing the mechanical features of natural fiber composites to replace synthetic fibers that are highly useful in the building, automotive, and packing industries. The novelty of the work is that the woven areca sheath fiber (ASF) with different fiber fraction epoxy composites has been fabricated and tested for its tribological responses on three-body abrasion wear testing machines along with its mechanical features. The impact of the fiber fraction on various features is examined.

Influence of Alloying Materials Al, Cu, and Ca on Microstructures, Mechanical Properties, And Corrosion Resistance of Mg Alloys for Industrial Applications: A Review.

Magnesium is renowned for its favorable low-density attributes, rendering it a viable choice for commercial engineering applications in which weight has substantial design implications. Magnesium (Mg) stands as a readily obtainable metallic element, exhibiting robustness, efficient heat dissipation, and excellent damping properties. The utilization of pure magnesium remains infrequent due to its susceptibility to instability under high temperatures and pronounced vulnerability to corrosion within humid environments.

Effective Usage of Biochar and Microorganisms for the Removal of Heavy Metal Ions and Pesticides.

The bioremediation of heavy metal ions and pesticides is both cost-effective and environmentally friendly. Microbial remediation is considered superior to conventional abiotic remediation processes, due to its cost-effectiveness, decrement of biological and chemical sludge, selectivity toward specific metal ions, and high removal efficiency in dilute effluents. Immobilization technology using biochar as a carrier is one important approach for advancing microbial remediation.

Structural Morphology and Optical Properties of Strontium-Doped Cobalt Aluminate Nanoparticles Synthesized by the Combustion Method.

The study of structural morphology and the optical properties of nanoparticles produced by combustion methods are gaining significance due to their multifold applications. In this regard, in the present work, the strontium-doped cobalt aluminate nanoparticles were synthesized by utilizing CoSrAlO (0 ≤ ≤ 0.5) L-Alanine as a fuel in an ignition cycle.

Response Surface Methodology Based Optimization of Test Parameter in Glass Fiber Reinforced Polyamide 66 for Dry Sliding, Tribological Performance.

The tribological performance of a glass fiber reinforced polyamide66 (GFRPA66) composite with varying fiber weight percentage (wt.%) [30 wt.% and 35 wt.

Extraction of Microcrystalline Cellulose and Silica from Agriculture Waste and Its Application in Synthesis of Wheat Gluten and Fish Scales Derived Bioplastic.

Plastics play a significant part in human life and the world we live in. The use of plastics results in detrimental effects on the natural world, which compels us to look for viable replacements. As a result of their enhanced capacity to biodegrade, bioplastics are becoming increasingly important materials.

A facile route to synthesize n-SnO/p-CuFeO to rapidly degrade toxic methylene blue dye under natural sunlight.

In the present study, the n-SnO/p-CuFeO (p-CFO) complex was prepared by a two-step process. p-CFO synthesized by the molten salt method was coated with SnO synthesized by a facile chemical precipitation method. The formation of n-SnO/p-CFO was confirmed by powder X-ray diffraction (PXRD).

Particle Swarm Optimization and Modular Multilevel Converter Communication in Electrical Applications with Machine Learning Algorithm.

As a result of their natural capacity to recover harmonic current and reactive power from alternating current sources, power electronic devices utilized in conjunction with nonlinear loads have the potential to generate significant harmonic problems within the power system when employed in this way. When this occurs, voltage instability occurs, which must be avoided in order to maintain the consistency and dependability of the power system's power flow. With this approach, the series controller has been replaced by a multilevel modular controller in order to improve power handling capability and achieve higher modular levels with minimal distortions.

Segmentation and Classification of Glaucoma Using U-Net with Deep Learning Model.

Glaucoma is the second most common cause for blindness around the world and the third most common in Europe and the USA. Around 78 million people are presently living with glaucoma (2020). It is expected that 111.

Influence of the Fly Ash Material Inoculants on the Tensile and Impact Characteristics of the Aluminum AA 5083/7.5SiC Composites.

The choice of suitable inoculants in the grain refinement process and subsequent enhancement of the characteristics of the composites developed is an important materials research topic, having wide scope. In this regard, the present work is aimed at finding the appropriate composition and size of fly ash as inoculants for grain refinement of the aluminum AA 5083 composites. Fly ash particles, which are by products of the combustion process in thermal power plants, contributing to the large-scale pollution and landfills can be effectively utilized as inoculants and interatomic lubricants in the composite matrix-reinforcement subspaces synthesized in the inert atmosphere using ultrasonic assisted stir casting setup.

DON: Deep Learning and Optimization-Based Framework for Detection of Novel Coronavirus Disease Using X-ray Images.

In the hospital, a limited number of COVID-19 test kits are available due to the spike in cases every day. For this reason, a rapid alternative diagnostic option should be introduced as an automated detection method to prevent COVID-19 spreading among individuals. This article proposes multi-objective optimization and a deep-learning methodology for the detection of infected coronavirus patients with X-rays.

Efficient high capacity technique to embed EPR information and to detect tampering in medical images.

Reversible data hiding (RDH) is one of the well-known and highly recommended method to enhance medical data security or electronic patient record (EPR), privacy and truthfulness. In clinical images, while hiding the data, care must be taken to maintain the confidentiality of the information that is to be hidden within the clinical images because the hidden information should not bring down the original quality of the image. Mostly, the investigations carried out for medical diagnosis are usually constructed on the basis of investigation systems used for diagnosis and are grounded on the images usually used for medical study.

Finger millet: Eleusine coracana.

Finger millet (Eleusine coracana) is a grass crop grown in Africa, India Nepal, and many countries of Asia. The plant and grain is resistant to drought, pests, and pathogens. It is rich in polyphenols and particularly in calcium.

Multiple antibiotic resistance profiles of Vibrio cholerae non-O1 and non-O139.

In this study, the patterns of resistance to 10 antibiotics by 730 Vibrio cholerae non-O1 and non-O139 species isolated from both environmental and seafood samples were investigated. Susceptibility to different antimicrobial agents was assessed by the disc diffusion technique. The frequencies of resistance to 10 antimicrobial agents--ampicillin, chloramphenicol, bacitracin, erythromycin, gentamycin, streptomycin, oxytetracycline, vancomycin, penicillin, and neomycin--were 88, 46, 8, 64, 13, 85, 18, 21, 84, and 18%, respectively.

In situ biodecolorization kinetics of Acid Red 66 in aqueous solutions by Trametes versicolor.

The biological decolorization methodology and the mechanism involved in the degradation of Acid Red 66 was chosen as a model of azo dye using the white rot fungi Trametes versicolor was studied. Biodecolorization of Acid Red 66 using white rot fungi T. versicolor was demonstrated by the decolorization of the culture medium, the extent of which was determined by monitoring the decrease in absorbance at 506 nm.