Optical soliton solutions of the M-fractional paraxial wave equation.

This research used a modified and extended auxiliary mapping method to examine the optical soliton solutions of the truncated time M-fractional paraxial wave equation. We employed the truncated time M-fractional derivative to eliminate the fractional order in the governing model. The few optical wave examples of the paraxial wave condition can assume an insignificant part in depicting the elements of optical soliton arrangements in optics and photonics for the investigation of different actual cycles, including the engendering of light through optical frameworks like focal points, mirrors, and fiber optics.

Machine learning-based novel-shaped THz MIMO antenna with a slotted ground plane for future 6G applications.

This study discusses the results of using a regression machine learning technique to improve the performance of 6G applications that use multiple-input multiple-output (MIMO) antennas operating at the terahertz (THz) frequency band. This research evaluates an antenna's performance using various methodologies, such as simulation and RLC equivalent circuit models. The suggested design has a broad bandwidth of 2.

Edge dislocations, alloy composition, and grain boundaries effects on the mechanical properties in NiCo binary alloy.

In this research, we investigated the mechanical properties of NiCo binary alloy both with and without grain boundaries, across various alloy compositions. We investigated the effects of edge dislocation, alloy compositions, and grain boundaries on the mechanical properties of FCC using molecular dynamics (MD) simulations. By analyzing the influence of the grain boundaries with different alloy compositions on several mechanical properties, we were able to gain a deeper understanding of how these characteristics were modified.

A high gain microwave and millimeter-wave-based balanced antipodal Vivaldi antenna with a parasitic patch and a half-spherical shaped dielectric lens.

This paper presented the design and performance analysis of a high-gain balanced antipodal Vivaldi antenna (BAVA) integrated with a parasitic patch and a half-spherical shaped dielectric lens, specifically designed for microwave and millimeter-wave applications. Constructed with a Teflon substrate (  = 2.1, tan = 0.

Two-Stream Modality-Based Deep Learning Approach for Enhanced Two-Person Human Interaction Recognition in Videos.

Human interaction recognition (HIR) between two people in videos is a critical field in computer vision and pattern recognition, aimed at identifying and understanding human interaction and actions for applications such as healthcare, surveillance, and human-computer interaction. Despite its significance, video-based HIR faces challenges in achieving satisfactory performance due to the complexity of human actions, variations in motion, different viewpoints, and environmental factors. In the study, we proposed a two-stream deep learning-based HIR system to address these challenges and improve the accuracy and reliability of HIR systems.

Menstrual hygiene management among reproductive-aged women with disabilities in Bangladesh.

Background: Women with disabilities in low- and middle-income countries face unique challenges in managing menstruation, affecting their health, dignity, and quality of life.

Aim: This study aimed to explore menstrual hygiene management (MHM) practices among reproductive-aged women with disabilities in Bangladesh and its impact on social participation.

Methods: We analyzed data from 51,535 women from the 2019 Multiple Indicator Cluster Survey (MICS).

Factors associated with essential newborn care practices among non-institutional births in urban Bangladesh: evidence from Bangladesh Urban Health Survey 2021.

Background: Non-institutional births remain prevalent in low- and middle-income countries, associated with a majority of adverse maternal and child health outcomes, including maternal and child mortality. Ensuring essential newborn care (ENC) practices for these non-institutional births is crucial for reducing these adverse outcomes. This study aimed to identify the prevalence, and factors associated with the adoption of ENC practices among non-institutional births in urban Bangladesh.

Quantitative analysis of β-ODAP neurotoxin among different varieties of grass pea ( L.) flour: A comparative study.

Grass pea ( L.), a protein-rich pulse crop, is often overlooked due to its association with neurolathyrism and its neurotoxin, β-ODAP. The study aims to compare the β-ODAP content, chemical, and functional properties of four BARI varieties and two local varieties of grass pea seed flour.

Unraveling the potential effects of non-synonymous single nucleotide polymorphisms (nsSNPs) on the Protein structure and function of the human gene on type 2 diabetes and colorectal cancer: An approach.

Background And Aims: The single nucleotide polymorphisms (SNPs) in gene have been recognized as contributing to type 2 diabetes (T2D) susceptibility and colorectal cancer. This study aims to predict the structural stability, and functional impacts on variations in non-synonymous SNPs (nsSNPs) in the human gene using various computational techniques.

Materials And Methods: Several tools, including SIFT, Predict-SNP, SNPs&GO, MAPP, SNAP2, PhD-SNP, PANTHER, PolyPhen-1,PolyPhen-2, I-Mutant 2.

Utilizing machine learning to enhance performance of thin-film solar cells based on Sb(S Se ): investigating the influence of material properties.

Antimony chalcogenides (Sb(S Se )) have drawn attention as a potential semiconducting substance for heterojunction photovoltaic (PV) devices due to the remarkable optoelectronic properties and wide range of bandgaps spanning from 1.1 to 1.7 eV.

Dynamical property of interaction solutions to the Chafee-Infante equation via NMSE method.

In this work, we study the Chafee-Infante model with conformable fractional derivative. This model describes the energy balance between equator and pole of solar system, which transmit energy via heat diffusion. To explore the multi soliton solutions and their interaction, we implemented the new modified simple equation (NMSE) scheme.

Inferring the roles of individuals in collective systems using information-theoretic measures of influence.

In collective systems, influence of individuals can permeate an entire group through indirect interactionscom-plicating any scheme to understand individual roles from observations. A typical approach to understand an individuals influence on another involves consideration of confounding factors, for example, by conditioning on other individuals outside of the pair. This becomes unfeasible in many cases as the number of individuals increases.

EEG workload estimation and classification: a systematic review.

Objective: Electroencephalography (EEG) has evolved into an indispensable instrument for estimating cognitive workload in various domains. ML and DL techniques have been increasingly employed to develop accurate workload estimation and classification models based on EEG data. The goal of this systematic review is to compile the body of research on EEG workload estimation and classification using ML and DL approaches.

3.3-4.3 GHz efficient continuous class-F gallium nitride power amplifier based on simplified real frequency technique and harmonic tuning.

In order to implement the fifth generation (5G) communication system for a large number of users, the governments of many countries nominated the low 5G frequency band between 3.3 and 4.3 GHz.

Innovative Refractive Index Sensor Utilizing Terahertz Spectrum for Early Cancer Detection: a Photonic Crystal Fiber Approach.

In this article, we have presented a new cancer sensor with a square core Photonic Crystal Fiber (PCF) to detect the cancerous tissues of the cervix, breast, and skin. This process is thus streamlined and separated by PCF due to its excellent detection characteristics. All required configurations using the finite element method are developed, and various performances of the model are studied using MATLAB.

Phenotypic diversity in qualitative and quantitative traits for selection of high yield potential field pea genotypes.

Field pea (Pisum sativum L.) needs improvement to increase productivity due to its high price and demand. However, the incidence of powdery mildew (PM) disease limits its production.

Mesoporous FeO/SiO/poly(2-carboxyethyl acrylate) composite polymer particles for pH-responsive loading and targeted release of bioactive molecules.

pH-responsive polymer microspheres undergoing reversible changes in their surface properties have been proved useful for drug delivery to targeted sites. This paper is aimed at preparing pH-responsive polymer-modified magnetic mesoporous SiO particles. First, mesoporous magnetic (FeO) core-particles are prepared using a one-pot solvothermal method.

Comparison of two survey methods for estimating unplanned pregnancy, Bangladesh.

Objective: To compare the prevalence of unintended pregnancy measured by the Demographic and Health Survey (DHS) and the London Measure of Unplanned Pregnancy in Bangladesh, and explore the extent of discordance between the measures and the factors associated with the discordance.

Methods: In 2023, we conducted a cross-sectional survey in four randomly selected districts in Bangladesh: Kurigram, Mymensingh, Pabna and Satkhira. We randomly selected 20 hospitals, five from each district.

Enhancing CO Transport Across the PEG/PPG-Based Crosslinked Rubbery Polymer Membranes with a Sterically Bulky Carbazole-Based ROMP Comonomer.

A series of poly(ethylene glycol)-block-poly(propylene glycol) (PEG/PPG)- and 5,6-di(9H-carbazol-9-yl)isoindoline-1,3-dione (2CZPImide)-based crosslinked rubbery polymer membranes, denoted as PEG/PPG-2CZPImide (x:y), are prepared from the norbornene-functionalized PEG/PPG oligomer (NB-PEG/PPG-NB) and 2-(bicyclo[2.2.1]hept-5-en-2-ylmethyl)-5,6-di(9H-carbazol-9-yl)isoindoline-1,3-dione (2CZPImide-NB) via ring-opening metathesis polymerization (ROMP).

SeasVeg: An image dataset of Bangladeshi seasonal vegetables.

Seasonal vegetables play a crucial role in both nutrition and commerce in Bangladesh. Recognizing this significance, our research introduces the 'SeasVeg' dataset, comprising images of ten varieties of seasonal vegetables sourced from Dhaka and Pabna regions. These include .