Electrostatic Self-Assembly-Driven Heterojunction of Cubic CeO/g-CN Nanosheets for Efficient Photocatalytic Hydrogen Evolution and Photoelectrocatalytic Water Splitting: A Hybrid Experimental and Theoretical Study.

Nanohybrid catalysts hold great promise for photocatalysis and photoelectrocatalysis, with significant progress still to be made. We synthesize a graphitic carbon nitride (GCN)-CeO heterojunction via electrostatic self-assembly. Characterization confirms that CeO nanocubes are uniformly anchored onto layered GCN, forming a high-quality interface with abundant active sites.

What's in My Coffee? Do-It-Yourself Testing for Chicory Adulteration Using Particle Trapping in Stencil-Based Paper Devices.

Our study introduces a cost-effective Do-It-Yourself (DIY) method for detecting chicory adulteration in coffee powder via the Shake & Invert approach integrated with a particle trapping mechanism. Coffee powders of different sizes were blended with chicory in distinct proportions. A bioline layer was employed as an adhering agent to selectively capture chicory on a laminated paper-based device.

Energy-Efficient geopolymer wall panels: optimizing mechanical, thermal, and acoustic properties for sustainable construction.

The rising demand for sustainable and multifunctional building materials in advanced construction field needs innovative composites that acquires superior mechanical, thermal, and acoustic performance. This study focusses on to analyse the potential of geopolymer composites developed with ground granulated blast furnace slag (GGBS), waste foundry sand (WFS), vermiculite, and coir fiber. Five mix designs (M1-M5) were developed with varying combination of WFS (5-25wt%) and vermiculite content (40-20wt%), while maintaining constant liquid-to-binder ratio (L/B = 0.

Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm.

Biomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and intervention, yet existing models like LSTM and XGBoost face limitations in handling the complexity and temporal nature of health data streams. The research article addresses this gap by introducing the Temporal Adaptive Neural Evolutionary Algorithm (TANEA), a novel approach designed to enhance the predictive capabilities in biomedical IoT systems.

Miniaturization of Sub 6 GHZ Band 5G Monopole Antenna with Manganese Assisted CoFeO Nano Self-Assembly Magneto-Dielectric Coating.

This paper proposes a miniaturized monopole antenna for sub-6 GHz 5G mobile applications by integrating a magneto-dielectric superstrate. The Magneto dielectric material is composed of manganese-assisted CoFeO ferrite-based nanoself-assembly materials. The Gel Matrix method is utilized to synthesize MnFeO, CoFeO, and Mn-doped CoFeO magneto-dielectric ferrite nanoparticles.

Phase Evolution of High-Entropy Stannate Pyrochlore Oxide Synthesized via Glycine-Assisted Sol-Gel Synthesis as a Thermal Barrier Coating Material.

High-entropy ceramics have gained wider attention due to their structural integrity and stability, which can be used in various functional applications. Especially, high-entropy oxides exhibit excellent thermal stability, particularly at high temperatures. Thermal barrier coating materials must demonstrate good thermal stability without any phase transformation or phase separation, which is critical in aerospace and energy conversion applications.

Development of eco-friendly basalt filler reinforced poly (lactic acid) composites using an additive manufacturing: An experimental insights.

This research work investigates the use of environmentally friendly basalt filler as a reinforcement with polylactic acid (PLA) polymer for lightweight 3D printing applications. The 3D printing filaments were manufactured with a single screw extruder with different weight ratios of basalt filler (0, 1, 3, and 5 wt%) by maintaining the mean diameter of 1.75 mm, followed by 3D printing using fused deposition modeling technique.

Optimized heart disease prediction model using a meta-heuristic feature selection with improved binary salp swarm algorithm and stacking classifier.

Despite technological advancements, heart disease continues to be a major global health challenge, emphasizing the importance of developing accurate predictive models for early detection and timely intervention. This study proposes a heart disease prediction model integrating a stacking classifier with a nature-inspired meta-heuristic algorithm. It employs an improved Binary Salp Swarm Algorithm (BSSA) by incorporating a wolf optimizer and opposition-based learning for optimal feature selection.

Recent progress in nanocellulose-based biocomposites for bone tissue engineering and wound healing applications.

Nanocellulose (NC) is considered as promising biomaterial owing to its stiffness, renewability, high strength, and biodegradability. NC is classified into three types such as cellulose nanocrystals (CNCs), bacterial nanocellulose (BNC), and cellulose nanofibers (CNFs), and they differ with each other in terms of size, mechanical behaviour, morphology, and crystallinity. The development of biocomposites with nanocellulose as reinforcing agent has gained much attention among researchers owing to their promising applications in various sectors.

Gum Arabic-based blend biopolymer electrolyte for electric double layer capacitor applications.

The present research focuses on PVA: Gum Arabic: Ammonium Nitrate biopolymer blend electrolyte prepared using ultrasound-assisted solvent casting method and its applicability in Electric Double-Layer capacitor. AC impedance spectroscopic technique reveals the highest ionic conductivity of 10 Scm at 303 K for 20 mol% ammonium nitrate doped sample which is higher than pure PVA. The transference number obtained for the prepared samples (0.

Synergistic effects of titanium dioxide and graphene nanofillers on delamination and thrust forces in machining glass fiber reinforced nanocomposites.

Delamination factor in drilling represents the maximum spread of imperfections around the drilled hole in a polymer composite. D can directly affect the performance of the drilled component. This study focuses on investigating the influence of nanofillers, titanium dioxide and graphene, with epoxy in varying quantities ranging from 1 to 4 wt%, on the delamination behavior of the glass fiber-reinforced composites.

Band-Gap Engineering of High-Entropy Fluorite Metal Oxide Nanoparticles Facilitated by Pr Incorporation by Gel Combustion Synthesis.

Tailoring the bandgap of a material is necessary for improving its optical properties. Here, the optical bandgap of high-entropy oxide CeGdSmYZrO (HEO) nanoparticles was modified using Pr. Various concentrations of Pr (x = 0, 0.

A novel breath pattern model and analysis to minimize patient discomfort in medical ventilators.

Typical waveforms used for the simulation of pressure and volume-controlled ventilation in medical ventilators have been extensively studied in the literature. The majority of simulation studies reported employ the step pattern or ramp pattern to model the pressure and flow variations in pressure/volume-controlled ventilation. It was observed that the above waveforms tend to add to the discomfort level of patients due to the presence of jerks in derivatives of pressure/flow variations; the pressure/flow variation of air and oxygen mixture should be smooth so that the patient discomfort is kept at a minimal level.

Navigating the nano-world future: Harnessing cellulose nanocrystals from green sources for sustainable innovation.

Cellulose nanocrystals (CNCs) are a class of materials that have received significant attention in recent years due to their unique properties and potential applications. CNCs are extracted from plant fibers and possess high strength, stiffness, and biocompatibility, making them attractive materials for use in various fields such as biomedical engineering, renewable energy, and nanotechnology. This provides an in-depth discussion of the extraction, characterization, and promising applications of CNCs.

Examining the Mechanical and Thermal Properties of a Novel Hybrid Thermoplastic Rubber Composite Made with Polypropylene, Polybutadiene, S-Glass Fibre, and Flax Fibre.

In this work, twin-screw extruder and compression moulding techniques were utilized to fabricate polymer blends: polypropylene (PP), polybutadiene (PB), and composites using glass fibre (GF) and flax fibre (FF). During fabrication, the polymer ratios maintained between PP and PB were 90:10, 80:20, and 70:30. Likewise, the composites were fabricated by varying the ratios between the PP, PB, and GF, which were 90PP:10PB:10GF, 80PP:20PB:10GF, and 70PP:30PB:10GF.

Stable neodymium gallium oxide (NdGaO and NdGaO) phases: a study on their asymmetric supercapacitor applications.

Rare-earth-based nanomaterials with exceptional electrochemical properties can be obtained a simple, low-cost, environment-friendly citrate-gel-matrix approach. Owing to their high specific capacitance, strong conductivity, and electrochemical stability, gallium-based materials are capable of withstanding numerous charge-discharge cycles, thus extending the life cycle of a supercapacitor. This tunability enabled researchers to alter the morphology and composition of the electrode to enhance supercapacitor performance.

Hybrid deep models for parallel feature extraction and enhanced emotion state classification.

Emotions play a vital role in recognizing a person's thoughts and vary significantly with stress levels. Emotion and stress classification have gained considerable attention in robotics and artificial intelligence applications. While numerous methods based on machine learning techniques provide average classification performance, recent deep learning approaches offer enhanced results.

Effect of halloysite addition on the dynamic mechanical and tribological properties of carbon and glass fiber reinforced hybrid composites.

Composite materials have become prominent in the aerospace, automotive, wind energy, biomedical, and machine tool industries. This has demanded the evaluation of the dynamic mechanical and tribological behaviour of composites to understand their performance and ensure their reliability and safety in varied operating conditions. In this study, the effect of halloysite nano-clay addition on the dynamic mechanical and tribological properties of the carbon/glass hybrid composites was investigated.

Influence of granite micro particles on the mechanical, damping and antimicrobial properties of silk-sisal hybrid composites.

This paper focuses on the effect of granite-micro-filler on static mechanical properties, damping behavior, and physical characteristics of silk-sisal hybrid composite. The composites structures are fabricated by using three layers of plain weaves mat with varying weight percentages (2, 4, and 6 wt%) of granite-micro-filler by hand layer process. The effect of granite-micro-filler on silk-sisal is analyzed and results are compared with pure silk-sisal (without granite-Micro-filler) hybrid composite.

Deep-KEDI: Deep learning-based zigzag generative adversarial network for encryption and decryption of medical images.

Background: Medical imaging techniques have improved to the point where security has become a basic requirement for all applications to ensure data security and data transmission over the internet. However, clinical images hold personal and sensitive data related to the patients and their disclosure has a negative impact on their right to privacy as well as legal ramifications for hospitals.

Objective: In this research, a novel deep learning-based key generation network (Deep-KEDI) is designed to produce the secure key used for decrypting and encrypting medical images.

Revolutionizing energy storage: exploring the nanoscale frontier of all-solid-state batteries.

Due to their distinctive security characteristics, all-solid-state batteries are seen as a potential technology for the upcoming era of energy storage. The flexibility of nanomaterials shows enormous potential for the advancement of all-solid-state batteries' exceptional power and energy storage capacities. These batteries might be applied in many areas such as large-scale energy storage for power grids, as well as in the creation of foldable and flexible electronics, and portable gadgets.

Progress in food packaging applications of biopolymer-nanometal composites - A comprehensive review.

Eco-friendly nanotechnology-enabled biopolymers are one of the novel concepts of packaging materials to substitute traditional synthetic polymers and their composites. This article succinctly reviews the recent developments of introducing additional functionalities to biopolymers using metal and metal oxide nanoparticles. The functionality of metal nanoparticles such as silver, zinc oxide, titanium dioxide, copper oxide, gold, and magnesium oxide, as food packaging materials were discussed.

From lab to field: Prussian blue frameworks as sustainable cathode materials.

Prussian blue and Prussian blue analogues have attracted increasing attention as versatile framework materials with a wide range of applications in catalysis, energy conversion and storage, and biomedical and environmental fields. In terms of energy storage and conversion, Prussian blue-based materials have emerged as suitable candidates of growing interest for the fabrication of batteries and supercapacitors. Their outstanding electrochemical features such as fast charge-discharge rates, high capacity and prolonged cycling life make them favorable for energy storage application.