Synergy of Hydrophilic Properties and Antibacterial Inhibition in Polyvinyl Alcohol Nanofibrous Mats Loaded With Croton Bonplandianum Baill Leaf Extract.

The antibacterial nanofibrous mat is crucial in biomedicine as it enhances infection control, expedites wound healing, and mitigates health hazards by decreasing antibiotic usage. A novel synergistic antibacterial and hydrophilic nanofibrous mat successfully fabricated by solution electrospinning from polyvinyl alcohol (PVA) incorporated Croton bonplandianum Baill (CBB) leaves extract. Antioxidant-enriched leaf extract of the CBB plant was integrated with PVA in varying proportions of 30% (CBB-30), 40% (CBB-40), and 50% (CBB-50) to manufacture antibacterial nanofibrous mat.

Optimizing coastal groundwater quality predictions: A novel data mining framework with cross-validation, bootstrapping, and entropy analysis.

Investigating the potential of novel data mining algorithms (DMAs) for modeling groundwater quality in coastal areas is an important requirement for groundwater resource management, especially in the coastal region of Bangladesh where groundwater is highly contaminated. In this work, the applicability of DMA, including Gaussian Process Regression (GPR), Bayesian Ridge Regression (BRR) and Artificial Neural Network (ANN), for predicting groundwater quality in coastal areas was investigated. The optuna-based optimized hyperparameter is proposed to improve the accuracy of the models, including optuna-GPR and optuna-BRR as benchmark models.

Tracing sources-oriented ecological risks of metal(loid)s in sediments of anthropogenically-affected coastal ecosystem from northeast bay of Bengal.

The current study focused on thirty-nine locations in the four islands (i.e., St.

Exploring semiconductor potential: novel boron-based TiAlC and TiAlN MAX phase composites with tunable band gaps.

This research focuses on synthesizing chemically and thermally stable novel TiAlN and TiAlC MAX phase reinforced boron-based composites using hot pressed and inert sintering processes, enabling a sizeable and wider bandgap for semiconductor applications. The study found that the MAX phase is formed from 0.2% to 2.

Evaluating physico-mechanical properties of NaOH-treated natural fibres: Effects of polyolefin.

The bottle gourd plant fibres (BGPF) and okra fibres were processed and refined (w/w 6 % NaOH) before being incorporated with polyolefin (polypropylene) for composite fabrication using a blending technique. The polyolefin matrix is used to develop composites with 5 % okra fibres and varying percentages (25, 30, 35 and 40 %) of BGPF. The results indicated that the "35 % BGPF +5 % okra +60 % polypropylene" composition achieved remarkable mechanical properties with tensile strength (26.

Eco-Friendly Jute-Based Hybrid Nonwoven Fabric for Packaging Applications.

Eco-friendly materials must replace pure synthetic materials to protect the environment and improve human welfare. This study uses a blow room-integrated carding machine to create a filmy web by properly mixing modified jute and polyester fibers. Jute-polyester fiber blended carded webs have been utilized to produce jute-based hybrid nonwoven fabrics (JHNFs), which are subsequently given an antibacterial treatment by spraying a solution of silver nitrate, ethanol, and ammonia.

Physical and electrochemical performances of novel tellurium composite films as anode applications in energy storage systems.

Portable electronic devices and electric cars use lithium-ion batteries, but clumping lithium alloys limit their lifespan. Due to their strong electronic conductivity, volumetric capacity, and high energy density, researchers are conducting research on electrochemical metal cells utilizing tellurium for high-performance batteries. Theoretically, lithium-tellurium batteries can improve energy densities three times more than lithium-ion batteries.

Brain tumor classification utilizing pixel distribution and spatial dependencies higher-order statistical measurements through explainable ML models.

Brain tumors are among the most fatal and devastating diseases, and they often result in a significant reduction in life expectancy. The devising of treatment plans that can extend the lives of affected individuals hinges on an accurate diagnosis of these tumors. Identifying and analyzing large volumes of magnetic resonance imaging (MRI) data manually proves to be both challenging and time-consuming.

The Impact of Hydrostatic Pressure on the Structural, Mechanical, Thermal, and Optoelectronic Characteristics of the RbVSb Kagome Compound: Ab initio Approach.

We studied the RbVSb kagome compound's structural, mechanical, thermal, and optoelectronic properties. Mulliken and Hirshfeld population analysis found ionic and covalent connections in RbVSb. The Born stability criterion shows that pure RbVSb is mechanically stable.

Dataset on factors influencing pedestrian crosswalk usage behavior in high-density urban areas of a developing country.

The dataset consists of survey data on pedestrian crosswalk usage behavior in high-density urban areas of a developing country, specifically collected from Dhaka, the capital city of Bangladesh. Data were gathered through a questionnaire survey conducted at twelve key locations, covering eight attributes related to crosswalk behavior and the demographic details of respondents. The survey yielded 682 valid responses, focusing on factors such as the suitability of crosswalk locations, guard rails, and lighting.

Advancements in MAX phase materials: structure, properties, and novel applications.

The MAX phase represents a diverse class of nanolaminate materials with intriguing properties that have received incredible global research attention because they bridge the divide separating metals and ceramics. Despite the numerous potential applications of MAX phases, their complex structure leads to a scarcity of readily accessible pure MAX phases. As a result, in-depth research on synthesis methods, characteristics, and structure is frequently needed for appropriate application.

Potentiality of phosphide-based nanotubes for breast cancer detection: A DFT investigation.

Breast cancer is one of the most basilisk cancers for women due to its high mortality rate which can be prevented drastically with early-stage detection. In this work, the adsorption mechanism of two volatile organic compounds that are present in the breath of breast cancer patients, 2-Methyloctane and 3, 3-Dimethylpentane, has been investigated on aluminum phosphide nanotubes (AlPNT) and gallium phosphide nanotubes (GaPNT) in order to understand their feasibility as sensor materials to diagnosis breast cancer at early stage. We have used the quantum mechanical approach by employing density functional theory using B3LYP-D3 hybrid potential for noncovalent interaction along with the LanL2DZ basis in the Gaussian 09 software package.

Creation of a boron carbide-based TiAlBC (312) MAX phase: a route to novel MXenes for energy storage.

A novel boron carbide (BC)-based TiAlBC (312) MAX phase was predicted for the first time density functional theory (DFT). The stability of the MAX phase was confirmed by mechanical and thermal property analyses. The computational details revealed the attractive properties of TiAlBC, indicating its potential as an advanced material with improved characteristics.

Evaluation of environmental impacts of cotton polo shirt production in Bangladesh using life cycle assessment.

The textile industry is widely considered as one of the most pollutant-releasing sectors globally. As the world is moving toward sustainability, it is essential to thoroughly assess how a textile product affects the environment. The aim of this study is to investigate the environmental impact of textile manufacturing in Bangladesh using life cycle assessment (LCA) method.

Natural Isatin Derivatives Against Black Fungus: In Silico Studies.

During this coronavirus pandemic, when a lot of people are already severely afflicted with SARS-CoV-19, the dispersion of black fungus is making it worse, especially in the Indian subcontinent. Considering this situation, the idea for an in silico study to identify the potential inhibitor against black fungal infection is envisioned and computational analysis has been conducted with isatin derivatives that exhibit considerable antifungal activity. Through this in silico study, several pharmacokinetics properties like absorption, distribution, metabolism, excretion, and toxicity (ADMET) are estimated for various derivatives.

Advances of polyolefins from fiber to nanofiber: fabrication and recent applications.

Polyolefins are a widely accepted commodity polymer made from olefinic monomer consisting of carbon and hydrogen. This thermoplastic polymeric material is formed through reactive double bonds of olefins by the addition polymerization technique and it possesses a diverse range of unique features for a large variety of applications. Among the various types, polyethylene and polypropylene are the prominent classes of polyolefins that can be crafted and manipulated into diversified products for numerous applications.

Research and application of polypropylene: a review.

Polypropylene (PP) is a versatile polymer with numerous applications that has undergone substantial changes in recent years, focusing on the demand for next-generation polymers. This article provides a comprehensive review of recent research in PP and its advanced functional applications. The chronological development and fundamentals of PP are mentioned.

Hexavalent chromium removal from aqueous medium by ternary nanoadsorbent: A study of kinetics, equilibrium, and thermodynamic mechanism.

Although many studies have focused on chromium removal from aqueous media by ternary Nano adsorbents, still the integrated kinetics, equilibrium, and thermodynamic mechanisms of chromium removal remain unknown. Thus in this study, we have synthesized a novel ternary oxide nanocomposite comprising iron, manganese, and stannous (Fe2O3-MnO2-SnO2) in a facile method as a promising adsorbent for the removal of Cr(VI) from an aqueous medium. The Fe2O3-MnO2-SnO2 system was firstly characterized by FTIR, XRD, TGA, BET, and SEM/EDX.

Fabrications, Classifications, and Environmental Impact of PCM-Incorporated Textiles: Current State and Future Outlook.

Phase change materials (PCMs) are an extraordinary family of compounds that can store and release thermal energy during phase changes. In recent years, the incorporation of PCMs into textiles has attracted considerable interest, since it represents a unique way to improve the comfort and usefulness of textiles. This article examines the advancements achieved in the preparation, classifications, and environmental effects of PCM-integrated textiles, along with a roadmap for the future.

Improvement of mahogany leaf extract dye fixation on cotton-modal blend.

The manufacture of regenerated cellulose-based fibers for better mechanical and comfort qualities was stimulated by the rising demand for cotton and the low production rate needed to meet global demands. Modal-cotton blend provides better tensile and moisture management properties. The present work has been designed to sketch out the scope of increased dye fixation or dye uptake opportunity onto the blends.

Green tea and tulsi extracts as efficient green corrosion inhibitor for aluminum alloy in alkaline medium.

Corrosion is a major issue in every industrial system. As a result of its widespread application, aluminum suffers enormous annual losses due to corrosion. Scientists are continually on the lookout for effective anti-corrosion strategies.

Advances of plant and biomass extracted zirconium nanoparticles in dental implant application.

Nanoparticles are minimal materials with unique physicochemical features that set them apart from bulk materials of the same composition. These properties make nanoparticles highly desirable for use in commercial and medical research. The primary intention for the development of nanotechnology is to achieve overarching social objectives like bettering our understanding of nature, boosting productivity, improving healthcare, and extending the bounds of sustainable development and human potential.

Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models.

Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, classification, and segmentation of tumors are extremely time-consuming but crucial tasks due to the tumor's pattern. In this paper, we propose a new lightweight segmentation model called MicrowaveSegNet (MSegNet), which segments the brain tumor, and a new classifier called the BrainImageNet (BINet) model to classify the RMW images.