Network Pharmacology and Elucidation of Phytochemicals Extracted from Ajwa Dates ( L.) to Inhibit Akt and PI3K Causing Triple Negative Breast Cancer (TNBC).

Background: About 10-15% of all breast cancers comprise triple-negative breast cancer (TNBC), defined as cancer cells that lack ER, PR, and HER2 protein receptors. Due to the absence of these receptors, treating TNBC using conventional chemotherapy is challenging and, therefore, requires the discovery of novel chemotherapeutic agents derived from natural sources.

Objective: The current work was intended to study the potential phytochemicals of Ajwa dates ( L.

Unveiling protoplanetary structure equations: Semi-analytical solutions via the homotopy analysis method.

This paper revisits the distribution of thermodynamic variables within initial protoplanets formed via gravitational instability (GI) across a broad mass spectrum ranging from (where denotes 1 Jupiter mass, equal to g), using the Homotopy Analysis Method (HAM), a novel approach in this context. Concerning heat transfer within the protoplanets, consideration is given to the convective mode. Our findings reveal a noteworthy alignment between the results obtained via the HAM, utilizing only the first four terms (third approximation), and numerical outcomes.

Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques.

The worldwide prevalence of thyroid disease is on the rise, representing a chronic condition that significantly impacts global mortality rates. Machine learning (ML) approaches have demonstrated potential superiority in mitigating the occurrence of this disease by facilitating early detection and treatment. However, there is a growing demand among stakeholders and patients for reliable and credible explanations of the generated predictions in sensitive medical domains.

Analysis of effects of meteorological variables on dengue incidence in Bangladesh using VAR and Granger causality approach.

Background: Dengue fever is a serious public health issue in Bangladesh, where its incidence rises with the monsoon. Meteorological variables are believed to be responsible factors among others. Therefore, this study examines the effects of meteorological variables (temperature, rainfall, and humidity) on dengue incidence in Bangladesh.

Effects of competition and ownership on the simultaneous relationship between bank risk and capital: Evidence from an emerging economy of Bangladesh.

This study aims to investigate the simultaneous relationship between bank risk and capital, specifically examining how competition and ownership jointly influence this relationship. We employed the two-step system generalized method of moments to address concerns regarding endogeneity and unobserved heteroscedasticity. Based on data from 44 commercial banks in Bangladesh from 2010 to 2021, our findings reveal several key insights: (I) There is a significant non-linear bidirectional relationship between bank risk and capital: capital exhibits a U-shaped effect on risk, while risk has a non-linear negative impact on capital; (II) in highly contested markets, banks hold higher levels of capital, and heightened competition reduces the risk appetite of commercial banks; while less competition has the opposite effect; (III) private and Islamic commercial banks are more risk-averse than state-owned and conventional ones, and (IV) Private and Islamic banks with strong capital positions in a competitive market can better manage risks than state-owned and conventional banks.

Trophic status analysis and nutrient source allocation in urban lakes of Dhaka, Bangladesh: a comprehensive approach to eutrophication monitoring.

Urban lakes are vital to ecosystems, providing essential services and recreational spaces in densely populated megacities. However, rapid urbanization and anthropogenic activities, particularly eutrophication driven by macronutrient accumulation, severely threaten these water bodies. This study underscores the critical need for continuous trophic state monitoring to sustain fish, wildlife, and plant ecosystems.

Longitudinal trajectories of the overall and regional body composition between severe acute malnourished and well-nourished children of Rohingya refugee camps.

Objectives: The present study aimed to observe how body composition differs between severe acute malnutrition (SAM) (treated with ready-to-use therapeutic food, RUTF) and well-nourished children.

Methods: A longitudinal investigation was conducted among well-nourished and SAM children of 6-59 months in Rohingya refugee camps. These two groups (350 children in each group) of children were observed over 12 weeks and individual data were collected during admission, follow-up visits, and at the time of discharge.

Potentially toxic elements (PTEs) in the invasive Asian clam (Corbicula fluminea) from polluted urban river areas of Bangladesh and evaluation of human health risk.

The invasive Asian clam species, Corbicula fluminea, has significant ecological and societal implications at both local and international levels due to its nutritional aspects. C. fluminea from four urban rivers in Bangladesh exhibited negative allometric growth and degree of contamination with potentially toxic elements (PTEs), which posed a concern to human health based on the AAS and USEPA risk models.

Fabrication of sustainable functional cotton fabric with silk sericin and chitosan for protective textiles.

The use of bio-based sources for producing multifunctional cotton fabric with UV-protective and antibacterial properties is essential. Hence, the primary aim of this work was to develop sustainable functional cotton fabric (antibacterial and UV-protective) by applying silk sericin and chitosan using a simple and environmentally benign pad-dry curing method. The modification as well as functional properties of the treated fabric were evaluated in terms of antimicrobial efficacy, moisture management, UV protection, scavenging activity, surface morphology, thermal stability and mechanical strength.

A preliminary study of gene expression changes in Koalas Infected with Koala Retrovirus (KoRV) and identification of potential biomarkers for KoRV pathogenesis.

Background: Koala retrovirus (KoRV), a major pathogen of koalas, exists in both endogenous (KoRV-A) and exogenous forms (KoRV-A to I and K to M) and causes multiple disease phenotypes, including carcinomas and immunosuppression. However, the direct association between the different KoRV subtypes and carcinogenesis remains unknown. Differentially expressed gene (DEG) analysis of peripheral blood mononuclear cells (PBMCs) of koalas carrying both endogenous (KoRV-A) and exogenous (KoRV-A, B, and C) subtypes was performed using a high-throughput RNA-seq approach.

Comparative Analysis of Phytochemicals and Antioxidant Characterization Among Different Parts of : In Vitro and In Silico Investigation.

The study investigates the antioxidant properties of , focusing on identifying its antioxidant compounds and chemical constituents. We compare antioxidant activities across its root, stem, flower, and leaf and examine the inhibition of reactive oxygen species (ROS)-generating enzymes by the plant's phytocompounds. We conducted a comprehensive analysis that included proximate analysis, mineral content assessment, and in vitro antioxidant characterization of various plant parts-root, stem, flower, and leaf.

A robust deep learning approach for identification of RNA 5-methyluridine sites.

RNA 5-methyluridine (m5U) sites play a significant role in understanding RNA modifications, which influence numerous biological processes such as gene expression and cellular functioning. Consequently, the identification of m5U sites can play a vital role in the integrity, structure, and function of RNA molecules. Therefore, this study introduces GRUpred-m5U, a novel deep learning-based framework based on a gated recurrent unit in mature RNA and full transcript RNA datasets.

PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AI.

Pollen grains play a critical role in environmental, agricultural, and allergy research despite their tiny dimensions. The accurate classification of pollen grains remains a significant challenge, mainly attributable to their intricate structures and the extensive diversity of species. Traditional methods often lack accuracy and effectiveness, prompting the need for advanced solutions.

Electrospun zeolitic imidazole framework-8 loaded silk fibroin/polycaprolactone nanofibrous scaffolds for biomedical application.

The development of electrospun nanofibrous scaffolds (NFSs) have aroused much attraction in the field of biomedical engineering, due to their small fiber diameter, high specific surface area, and excellent extracellular matrix comparability. The main focus of this study is to design and fabricate novel zeolitic imidazole framework-8 (ZIF-8)-loaded silk fibrin/polycaprolactone (SF/PCL) nanofiber composite scaffolds by using the electrospinning strategy. Firstly, ZIF-8 was synthesized and characterized, which showed remarkable features in terms of shape, size, chemical and physical properties.

Evaluation of 3β-hydroxysteroid dehydrogenase activity using progesterone and androgen receptors-mediated transactivation.

3β-Hydroxysteroid dehydrogenases (3β-HSDs) catalyze the oxidative conversion of delta (5)-ene-3-beta-hydroxy steroids and ketosteroids. Human 3β-HSD type 2 (HSD3B2) is predominantly expressed in gonadal and adrenal steroidogenic cells for producing all classes of active steroid hormones. Mutations in HSD3B2 gene cause a rare form of congenital adrenal hyperplasia with varying degree of salt wasting and incomplete masculinization, resulting from reduced production of corticoids and androgens.

Dual-core silver-coated plasmonic sensor modeling with machine learning.

Plasmonic sensors utilizing surface plasmon resonance (SPR) have emerged as powerful tools for sensitive and label-free detection across a wide range of applications. This study introduces a new dual-core silver-coated plasmonic sensor designed to significantly enhance sensitivity and resolution, making it particularly effective for precise analyte detection in complex environments. A key innovation of this sensor lies in its dual-core architecture, which achieves the highest wavelength sensitivity reported at 30,000 nm/RIU and resolution of RIU, covering a broad refractive index (RI) range from 1.

Understanding the adsorption performance of hetero-nanocages (C-BN, C-AlN, and BN-AlN) towards hydroxyurea anticancer drug: a comprehensive study using DFT.

Cancer is a paramount health challenge to global health, which forms tumors that can invade nearby tissues and spread to neighboring cells. Recently, nanotechnology has been used to control the growth of cancer, in which anticancer drugs are delivered to cancerous cells nanoparticles without damaging healthy tissues. In this study, DFT investigations were carried out to examine the adsorption behavior of C, BN, and AlN nanocages as well as their heterostructures C-BN, C-AlN, and BN-AlN towards the hydroxyurea (HU) anticancer drug.

Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach.

Scientific knowledge of image-based crack detection methods is limited in understanding their performance across diverse crack sizes, types, and environmental conditions. Builders and engineers often face difficulties with image resolution, detecting fine cracks, and differentiating between structural and non-structural issues. Enhanced algorithms and analysis techniques are needed for more accurate assessments.

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.

Blood pressure alteration associated with abnormal body electrolyte and water balance in colitis mice.

Previous studies reported that there is an association between abnormal body fluid balance and prognosis in colitis patients. However, it remains to be clarified the effects of colitis on characteristics of body electrolytes or water content, including alternation in blood pressure. In this study, we examined the effects of colon injury on body water balance and blood pressure in the dextran sodium sulfate (DSS)-induced colitis mouse model.