Recent advances in stem cell approaches to neurodegeneration: A comprehensive review with mechanistic insight.

The progressive nature of neurodegenerative diseases (NDs), such as Parkinson's disease, Alzheimer's disease, Huntington's disease, and amyotrophic lateral sclerosis, presents substantial problems because current treatments are still obscure. Stem cell-based treatments are emerging as a viable solution to address the significant gaps in treating these severe diseases. This study provides a comprehensive analysis of the latest advancements in stem cell research, focusing on the treatment of NDs.

Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach.

Purpose: Malnutrition remains a critical public health issue in low-income countries, significantly hindering economic development and contributing to over 50% of infant deaths. Under nutrition weakens immune systems, increasing susceptibility to common illnesses and prolonging recovery periods. This study aims to develop and evaluate a novel artificial intelligence-based classification method for nutritional status assessment using hybrid machine learning strategies, enhancing the accuracy and reliability of malnutrition detection.

A novel DNA sequence-selective, guanine mono-alkylating ADC payload suitable for solid tumour treatment.

Pyridinobenzodiazepines (PDDs) are a new class of DNA mono-alkylating antibody-drug conjugate (ADC) payloads that can be linked through their C9 position to a sequence recognition component, guiding them to specific DNA sequences. Compound 18 is a PDD monomer with a unique sequence-selectivity profile and high cytotoxicity (, IC = 0.30 nM in SW60; 1.

Toxic effects of malachite green on plant and animal models: A study on root growth inhibition, hematological changes, histopathology, and molecular analysis.

Malachite green (MG), a suggestive chemical for tumor development and carcinogenicity, is widely used as an illicit food coloring agent, posing risks to consumers and handlers. This study aimed to assess the toxic effects of MG in both plant and animal models. Different doses of MG (375, 750, and 1500 mg/L) were applied for 24 h to evaluate root growth inhibition, mitotic index (MI), and chromosomal aberrations in Allium cepa L.

Quantum dot-based non-volatile memory: a comprehensive outlook.

With the rise of digital technology, the use of memory devices is swiftly expanding, and this trend is expected to continue in the forthcoming years. Accordingly, researchers are exploring materials that surpass the performance of those used in traditional memory devices, and notably, there is a considerable interest in quantum dots (QDs). This is primarily due to the fact that quantum dots possess exceptional optical and electric properties.

Comparative analysis of ARIMA and Holt's models for predicting water and sanitation access in Bangladesh: toward SDG target.

This study analyzes the trend and forecasts the future proportion of the people in Bangladesh using safely managed drinking water and sanitation services, aiming for progress toward SDGs. The annual datasets cover the years 2000-2022 and are sourced from the World Bank Databank, focusing on 'Proportion of people using safely managed drinking water services' and 'Proportion of people using safely managed sanitation services.' Initially, the Mann-Kendall test is applied to detect seasonal trends in the time series data.

DFT analysis of the physical properties of direct band gap semiconducting double perovskites ABIrCl (A = Cs, Rb; B = Na, K) for solar cells and optoelectronic applications.

Double perovskite-based optoelectronic devices are gaining attention due to their unique characteristics, including a simple and stable crystal structure. This study employs density functional theory (DFT) with the full-potential linearized augmented plane-wave (FP-LAPW) method to investigate the structural, electronic, optical, mechanical, and thermodynamic properties of ABIrCl (A = Cs, Rb; B = Na, K) double perovskite halides. The primary aim is to assess their potential applicability in optoelectronic devices and renewable energy technologies.

Spatio-temporal CNN-BiLSTM dynamic approach to emotion recognition based on EEG signal.

In this paper, a hybrid CNN-BiLSTM model for EEG-based emotion detection system is presented. The proposed technique is developed by extracting features using Power Spectral Density (PSD) signal. The proposed approach is carried out by combining CNN and bidirectional LSTM models to increase the comprehension of context in sequential data.

Corrigendum: First-time report on compound isolation from two species: vegetable-derived bioactive metabolites and their medicinal potential.

[This corrects the article DOI: 10.3389/fphar.2024.

A novel integration of Hodrick-Prescott filter (Hp-filter) and wavelet transform (WT) with optimize support vector machine (PSO-SVM) in predicting solar radiation.

Previous research has shown that predicting solar radiation is a challenging issue due to highly nonlinear and noisy climate data. Various hybrid approaches have been applied earlier for solar radiation prediction, which integrates the Wavelet Transform with various Machine Learning models. This research, therefore, intends to further improve the performance of these existing hybrid models.

Deep Learning-Based Detection of Aflatoxin B1 Contamination in Almonds Using Hyperspectral Imaging: A Focus on Optimized 3D Inception-ResNet Model.

Aflatoxin B1, a toxic carcinogen frequently contaminating almonds, nuts, and food products, poses significant health risks. Therefore, a rapid and non-destructive detection method is crucial to detect aflatoxin B1-contaminated almonds to ensure food safety. This study introduces a novel deep learning approach utilizing 3D Inception-ResNet architecture with fine-tuning to classify aflatoxin B1-contaminated almonds using hyperspectral images.

Molecular activity of bioactive phytocompounds for inhibiting host cell attachment and membrane fusion interacting with West Nile Virus envelope glycoprotein.

West Nile virus is an arbovirus primarily spread by mosquitoes, which are the principal carriers and belong to the Flaviviridae category. This widespread disease lacks specific treatments despite its potential lethality, urgently demanding novel pharmaceutical research and development aims to prevent severe or long-term complications and improve overall outcomes. Pandemic awareness, increasing global incidence, fatal illness effects, expenses associated with outbreaks, reducing suffering, and other broader implications highlight the study's wider significance.

Fly ash pollution causes morpho-anatomical and biochemical changes in Eichhornia crassipes (Mart.) Solms and Pistia stratiotes L: demonstrating stress-tolerant activity.

This study aims to explore the impact of fly ash (FA) on two types of free-floating aquatic plants, Eichhornia crassipes and Pistia stratiotes, growing in two different locations. The stress caused by FA has led to a significant biochemical alteration in several leaf properties, including ascorbic acid, relative water, and chlorophyll, as well as anatomical changes in leaf, petiole, and stolon in the growing plants at highly contaminated sites (HCS) relative to the low contaminated site (LCS). According to the study, HCS plants lose total chlorophyll overall, have shallower ascorbic acid levels, and have higher RWC than LCS plants.

Neutralizing antibodies against the Japanese encephalitis virus are produced by a 12 kDa E. coli- expressed envelope protein domain III (EDIII) tagged with a solubility-controlling peptide.

Escherichia coli is a powerful and cost-effective platform for producing recombinant proteins. However, E. coli- produced proteins lack side-chain glycosylation and may be misfolded due to non-native disulfide bonds, often leading to poor immunogenicity.

Biosynthesis and Characterization of ZnO Nanoparticles Using Peel Followed by Photocatalytic, Antibacterial, and Antioxidative Nanotherapeutic Attributes Assessment Supported by Computer Simulation.

Introduction: ZnO nanoparticles (NPs) have garnered significant attention due to their remarkable multifunctionality, particularly in biomedical and environmental applications.

Methods: The study synthesized ZnO NPs using Blanco peel extracts. The structural, morphological, and optical properties of ZnO NPs have been analyzed.

Coupled split square resonator based metamaterial sensor for realtime monitoring of air bubbles in IV channels.

Air embolism caused by undetected air bubbles in intravenous (IV) lines poses a critical risk in medical treatments, necessitating accurate and reliable detection systems. This study addresses this challenge by developing a novel metamaterial-based sensor for real-time monitoring of air bubbles in IV channels. The sensor employs a Single Negative Complementary Split Square Resonator (CSSR) coupled with a polymer-based microfluidic channel (PMC) to detect dielectric changes caused by air bubbles in flowing saline.

Perceived-air pollution and self-reported health status: a study on air pollution-prone urban area of Bangladesh.

Air pollution is a serious health concern in rapidly developing countries like Bangladesh. This study investigates the correlation between self-reported health issues related to air pollution and perceived air pollution among adult Bangladeshis. A face-to-face questionnaire was conducted with 398 adult residents who had lived in their current location for at least 3 years.

Flood impact on men's mental health: evidence from flood-prone areas of Bangladesh.

Disasters can pose significant risks to mental health, often resulting in both temporary and long-lasting psychological distress. This study explores the impact of floods on mental health. A survey was conducted shortly after the 2022 flash flood, in which 452 male participants from the Ajmiriganj and Dharmapasha Upazilas in Bangladesh were surveyed.

Complete genome sequence of dengue virus serotype 2 obtained from Chattogram, Bangladesh.

The whole genome sequence of a dengue virus serotype 2 strain (GenBank accession number PQ657766) obtained from a dengue-infected hospitalized patient in Chittagong, Bangladesh, is classified as the cosmopolitan genotype V, with genetic alterations observed in several structural proteins. The genomic data were generated using Oxford Nanopore sequencing technology.

PaddyVarietyBD: Classifying paddy variations of Bangladesh with a novel image dataset.

Among countless crop varieties produced worldwide, the staple food of most of Asia, some parts of Europe, and North America is rice. Being an essential food item, rice offers an integral contribution to the economy of countries like China, India, Bangladesh, Pakistan, Indonesia, and so on. Scientists have long been working on developing new and improved rice species to battle different environmental hindrances and natural calamities.

Appraisal of groundwater suitability for drinking and irrigation purposes in highly vulnerable coastal area of Bangladesh.

Groundwater contamination is a significant threat to water security in Bangladesh, especially in coastal areas influenced by salinity intrusion and geogenic pollutants. The study has collected 48 groundwater samples and analyzed 16 water quality parameters to assess the suitability of groundwater for drinking and irrigation purposes in a highly vulnerable coastal area of Bangladesh. The Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI), Metal Index (MI), and Heavy Metal Pollution Index (HPI) were used to assess drinking water quality.

Lung Segmentation with Lightweight Convolutional Attention Residual U-Net.

Examining chest radiograph images (CXR) is an intricate and time-consuming process, sometimes requiring the identification of many anomalies at the same time. Lung segmentation is key to overcoming this challenge through different deep learning (DL) techniques. Many researchers are working to improve the performance and efficiency of lung segmentation models.

Advancement in medical treatment for gastrointestinal stromal tumors (GISTs): a ray of hope.

Gastrointestinal stromal tumors (GISTs) present unique diagnostic and therapeutic challenges. This review highlights advancements facilitated by molecularly targeted therapies like imatinib for advanced, metastatic, and high-risk GISTs, underscoring their neoadjuvant/adjuvant utility and the importance of multidisciplinary care. Emerging avenues, including immunotherapy, PI3K/mTOR/HSP90 inhibitors, are examined, reflecting the evolving treatment landscape.

Antioxidant, Anti-Inflammatory, and Neuropharmacological Potential of Syngonium podophyllum Flower Methanolic Extract: Insights From In Vivo, In Vitro, In Silico, and GC-MS/MS Analysis.

Syngonium (S.) podophyllum L. is recognized for its diverse applications.