Potential Biological Impacts of Microplastics and Nanoplastics on Farm Animals: Global Perspectives with Insights from Bangladesh.

Microplastics (MPs) and nanoplastics (NPs), formed through the degradation of larger plastic materials, are emerging pollutants of significant concern. While their impact on aquatic ecosystems is well documented, their effects on terrestrial, especially farm animals remain underexplored. This review assesses the potential threats of MPs and NPs to Bangladesh's livestock sector by analyzing the results of experimental models and environmental studies.

Network pharmacology and molecular docking approach to predict the oral and topical therapeutic mechanisms of 's active compounds on atopic dermatitis.

Atopic dermatitis (AD) is a recurrent inflammatory skin condition marked by itching, inflammation, and lichenification, primarily affecting children. shows therapeutic promise in treating AD, although research on its mechanisms remains limited. For the first time, a network pharmacology approach was used to explore the pharmacological mechanisms of 's active compounds in AD treatment.

Global, Regional, and National Burden of Nontraumatic Subarachnoid Hemorrhage: The Global Burden of Disease Study 2021.

Importance: Nontraumatic subarachnoid hemorrhage (SAH) represents the third most common stroke type with unique etiologies, risk factors, diagnostics, and treatments. Nevertheless, epidemiological studies often cluster SAH with other stroke types leaving its distinct burden estimates obscure.

Objective: To estimate the worldwide burden of SAH.

Punica granatum leaf extract as a natural antibacterial agent explored by experimental and computational methods.

The rise of multidrug-resistant (MDR) microorganisms, particularly Escherichia coli, poses a significant threat to global public health, necessitating the development of alternative treatments. This study investigates the antibacterial properties of methanolic Punica granatum (pomegranate) leaf extract (MPGL) against MDR E. coli and explores its potential as a source of natural inhibitors for the CTX-M-9 beta-lactamase enzyme, a key contributor to antibiotic resistance.

Characterization and slow-release of urea fertilizer of hydrogel composites based on poly(vinyl alcohol)/ sodium alginate/ humic acid/ citric acid.

The purpose of this research was to develop a hydrogel-based slow-release fertilizer for wheat cultivation. A new polyvinyl alcohol (PVA)/sodium alginate (SA)/humic acid (HA)/citric acid (CA) (PSHC) hydrogel composite was synthesized, using a liquid-state crosslinking method, with citric acid serving as the crosslinker. Then, the PSHCU-hydrogel was formed by incorporating urea with PSHC-hydrogel.

In silico screening of naturally derived dietary compounds as potential butyrylcholinesterase inhibitors for Alzheimer's disease treatment.

Alzheimer's disease (AD) is a progressive neurodegenerative condition that causes a substantial decline in cognitive functions and affects memory, thinking abilities, and daily behavior. The most prominent hallmark of AD pathogenesis is the formation of amyloid-β plaques, among other associated pathways such as neurofibrillary tangles, mitochondrial dysfunction, neuroinflammation, and oxidative stress. Butyrylcholinesterase (BuChE), an acetylcholine-degrading enzyme, plays a critical role in the progression of Alzheimer's disease, particularly through its involvement in amyloid-β plaque formation.

In-silico analysis of deleterious non-synonymous SNPs in the human AVPR1a gene linked to autism.

Single nucleotide polymorphisms are the most prevalent type of DNA variation occurring at a single nucleotide within the genomic sequence. The AVPR1a gene exhibits genetic polymorphism and is linked to neurological and developmental problems, including autism spectrum disorder. Due to the difficulties of studying all non-synonymous single nucleotide polymorphisms (nsSNPs) of the AVPR1a gene in the general population, our goal is to use a computational approach to identify the most detrimental nsSNPs of the AVPR1a gene.

Recent Advances in Food Drying Modeling: Empirical to Multiscale Physics-Informed Neural Networks.

Food insecurity is a major global challenge. Food preservation, particularly through drying, presents a promising solution to enhance food security and minimize waste. Fruits and vegetables contain 80%-90% water, and much of this is removed during drying.

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.

Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach.

Chronic kidney disease (CKD) poses a significant risk for diabetes patients, often leading to severe complications. Early and accurate CKD stage detection is crucial for timely intervention. However, it remains challenging due to its asymptomatic progression, the oversight of routine CKD tests during diabetes checkups, and limited access to nephrologists.

4,4-Dimethyl-2-phenyl-4,5-di-hydro-pyrrolo-[2,3,4-]acridin-1(2)-one.

In the title compound, CHNO, the pendant phenyl ring is twisted by 43.85 (1)° with respect to the acridine moiety, which has almost coplanar atoms apart from the carbon atoms. The extended structure features aromatic π-π stacking with a centroid-to-centroid distance of 3.

Navigating nutrients: A scoping review on real-time food nutrition classification and recommendation systems.

In an era where fast-paced lifestyles often conflict with the pursuit of healthy eating, the demand for innovative solutions to aid nutritional decision-making has never been more pressing. Real-time food nutrition classification and recommendation systems offer an effective solution to this growing issue. By harnessing state-of-the-art technologies such as sensor-based data collection and machine learning algorithms, these systems can conduct a precise analysis of the nutritional composition of foods.

Identification of Potential Inhibitors Targeting Non-Structural Proteins NS3 and NS5 of Dengue Virus Using Docking and Deep Learning Approaches.

: Dengue virus (DENV) is the fatal pathogenic arthropod-borne virus (arboviruses) that belongs to the family, which transmits to humans through mosquito bites from infected and mosquitoes or maternal-fetal transmission. Despite antigenic differences, the four serotypes of DENV (DENV-1 to DENV-4) share 65-78% of their genome. Non-structural (NS) proteins amongst serotypes show analogous functions.

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.

Stability analysis, [Formula: see text] model expansion method, and diverse chaos-detecting tools for the DSKP model.

This paper talks about the [Formula: see text]-model expansion method for the Davey-Stewartson- Kadomtsev-Petviashvili (DSKP) model in (4 + 1) dimensions. This is useful for studying shallow-water waves, coastal engineering, fluid mechanics, and plasma physics. We use a variable relation to transform the model's partial differential form into an ordinary one.

An analysis of factors that influence the spatial pattern of faecal matter flow in unsewered cities.

The management of sanitation systems in unsewered cities in low and middle income countries is a critical issue, yet it is unclear where the risk hotspots are and where interventions should be focused. This study utilised a prototype model, developed by the authors, to map the spatial pattern of faecal flow in Rajshahi city, a secondary city in northwest Bangladesh with a population around a million. This city serves as a representative example of 60 such secondary cities in Bangladesh and hundreds more in the economically developing region in Asia, Africa and Latin America.

Green synthesis of silver nanoparticles using the BT5 tea cultivar of Bangladesh: unveiling molecular mechanisms of anti-cancer activity in mice model.

Silver nanoparticles (AgNPs) have sparked widespread interest due to their remarkable physiochemical capabilities, and they are now being used as a beneficial tool in the biomedical field. However, typical synthesis processes generate dangerous compounds that raise environmental and safety concerns. This is one of the main reasons for choosing a greener synthesis approach.

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.

Harnessing Enterococcus faecium WFD-128 from yogurt fermentation: Unveiling probiotic attributes and targeted inhibition of Shigella sonnei diarrheal pathogenesis.

Diarrhea is a leading cause of mortality among children under five, with few effective interventions beyond oral rehydration, antibiotics, and zinc supplementation. This study aimed to identify and evaluate the probiotic and anti-diarrheal potential of Enterococcus faecium WFD-128, isolated from fermented yogurt, through in vitro, in silico, and in vivo approaches. The bacterium showed notable antibacterial activity, with inhibition zones measuring 21 mm and 19 mm against Shigella flexneri and Shigella sonnei, respectively.

Human tripartite motif-containing protein 71 NCL-1/HT2A/LIN-41 domain crystal structure and its potential natural inhibitors.

TRIM71 NHL Domain is a critical driver of various cellular process and is dysregulated in several medical conditions like non-small cell lung cancer, hepatocellular carcinoma and congenital hydrocephalus. However, its pathways and binding with CDKN1A has not been well studied. To investigate its interaction with CDKN1A, we expressed TRIM71 NHL domain in SF9 (Spodoptera frugiperda) insect cells using the pFastBacTM HT B plasmid, was purified by size exclusion chromatography and its crystal structure was determined successfully (PDB ID: 9JUR).

A comprehensive review of carbon dioxide capture, transportation, utilization, and storage: a source of future energy.

Carbon dioxide (CO) is a harmful gas generated every day by burning fossil fuels in industry, automobiles, firing smoke, and so on. Excessive carbon dioxide creates global warming and severe health issues for humans and animals. Hence, CO generation and emissions must be minimized.

Genome-wide identification and characterization of NCED gene family in soybean (Glycine max L.) and their expression profiles in response to various abiotic stress treatments.

The NCED (9-cis-epoxy carotenoid dioxygenase) enzyme regulates the biosynthesis of abscisic acid (ABA), which is responsible for plant growth, development, and response to various environmental challenges. However, no genome-wide identification, characterization, functional regulatory element analysis, and expression profiles in response to different abiotic stresses of the NCED gene family have yet to be investigated in an economically important legume plant species, soybean (Glycine max L.).

Exploring common genomic biomarkers to disclose common drugs for the treatment of colorectal cancer and hepatocellular carcinoma with type-2 diabetes through transcriptomics analysis.

Type 2 diabetes (T2D) is a crucial risk factor for both colorectal cancer (CRC) and hepatocellular carcinoma (HCC). However, so far, there was no study that has investigated common drugs against HCC and CRC during their co-occurrence with T2D patients. Consequently, patients often require multiple disease-specific multiple drugs, which can lead toxicities and adverse effects to the patients due to drug-drug interactions.