Effects of titanium oxide nanoparticles on growth, biochemical composition, and photosystem mechanism of marine microalgae COR-A3.

The widespread utilization of titanium oxide nanoparticles (TiONPs) in various industrial applications has raised concerns about their potential ecological risks in marine environment. Assessing the toxicity of TiONPs on primary producers is essential to understand their impact on marine ecosystem. This study investigates the acute toxicity effect of TiONPs on COR-A3 cells, focusing on structural and physiological changes that can compromise algal viability and ecological function.

A DFT study of pure and Si-decorated boron nitride allotrope Irida monolayer as an effective sensor for hydroxyurea drug.

Investigating effective nanomaterials for the detection of hydroxyurea anticancer drugs is essential for promoting human health and safeguarding environmental integrity. This research utilized first-principles estimations for examining the adhesion and electronic characteristics of hydroxyurea (HU) on both pristine and Si-decorated innovative two-dimensional boron nitride allotrope, known as Irida analogous (Ir-BNNS). Analyzing the adsorption energy revealed that the HU molecule has a significant interaction (E = -1.

A review of recent advancements in the impact response of fiber metal laminates.

Fiber metal laminates (FMLs) have garnered significant attention due to their exceptional impact resistance, making them attractive for various structural applications. This review presents recent advancements in understanding the impact behavior of FMLs under low- and high-velocity impact scenarios. Low-velocity impacts, commonly encountered during manufacturing, handling, and tool drops, are discussed, with a focus on damage mechanisms, energy absorption capabilities, and influential factors such as impactor geometry and boundary conditions.

Exploring the Fluorescence Bioactive Compounds in the Coelomic Fluid of Earthworms: Insights into Their Structural, Spectroscopic, and Functional Properties for Biomedical Applications.

Coelomic fluid of earthworms is a valuable source of novel bioactive compounds with therapeutic applications. To gain insight into the bioactive compounds in the coelomic fluid, this study used Perionyx excavatus, a tropical earthworm distinguished for its remarkable ability for regeneration. This study aimed to identify fluorescent bioactive compounds in the coelomic fluid of P.

The burden of group A (GAS) infections: The challenge continues in the twenty-first century.

is a Gram-positive bacterium, also known as Group A (GAS), that has become a significant threat to the healthcare system, infecting more than 18 million people and resulting in more than 500,000 deaths annually worldwide. GAS infection rates decreased gradually during the 20th century in Western countries, largely due to improved living conditions and access to antibiotics. However, post-COVID-19, the situation has led to a steep increase in GAS infection rates in Europe, the United States, Australia, and New Zealand, which triggers a global concern.

Emotion analysis of EEG signals using proximity-conserving auto-encoder (PCAE) and ensemble techniques.

Emotion recognition plays a crucial role in brain-computer interfaces (BCI) which helps to identify and classify human emotions as positive, negative, and neutral. Emotion analysis in BCI maintains a substantial perspective in distinct fields such as healthcare, education, gaming, and human-computer interaction. In healthcare, emotion analysis based on electroencephalography (EEG) signals is deployed to provide personalized support for patients with autism or mood disorders.

Enhancing waste classification accuracy with Channel and Spatial Attention-Based Multiblock Convolutional Network.

Municipal waste classification is significant for effective recycling and waste management processes that involve the classification of diverse municipal waste materials such as paper, glass, plastic, and organic matter using diverse techniques. Yet, this municipal waste classification process faces several challenges, such as high computational complexity, more time consumption, and high variability in the appearance of waste caused by variations in color, type, and degradation level, which makes an inaccurate waste classification process. To overcome these challenges, this research proposes a novel Channel and Spatial Attention-Based Multiblock Convolutional Network for accurately classifying municipal waste that utilizes a unique attention mechanism for enhancing feature learning and waste classification accuracy.

Emerging Nanoparticle-Based Diagnostics and Therapeutics for Cancer: Innovations and Challenges.

Malignant growth is expected to surpass other significant causes of death as one of the top reasons for dismalness and mortality worldwide. According to a World Health Organization (WHO) study, this illness causes approximately between 9 and 10 million instances of deaths annually. Chemotherapy, radiation, and surgery are the three main methods of treating cancer.

Investigating the Binding Dynamics and Stability of Bovine Serum Albumin with Antibiotics with Acridinedione Dye.

Exploring the energetics and bimolecular interaction of Bovine Serum Albumin (BSA) with various classes and generations of antibiotics in the absence and presence of a resorcinol based acridinedione dye (ADR1) were carried out. The binding stability of BSA-antibiotic complexes decreases on the introduction of ADR1 dye resulting in a positive value of free energy change, accompanied with several unfavourable interactions. Several polar amino acids contributed to the stability of the host-guest complex compared to that of non-polar amino acids, wherein BSA acts as the host, and antibiotics as the guest and ADR1 dye as the competing guest molecule.

Life in the dead shell: utilization of dead Pinna shells by the blenny fish Petroscirtes variabilis Cantor, 1849 (Blennidae).

The seagrass ecosystem supports a diverse range of marine life, including fish, crabs, and seahorses. It plays a vital role in providing essential services such as habitat creation, nutrient cycling, and shoreline stabilization. In the present study, we conducted line intercept transects to assess the abundance of Pinna shells in seagrass meadows of the Sangumal region in the Palk Bay, India.

Tuning the thermodynamic and kinetic performance of Fenton process - effects of dissolved anions/gases and temperature.

Inorganic anions such as chloride (Cl), nitrate (), sulfate (), carbonate (), bicarbonate (), dihydrogen phosphate (), fluoride (F) are ubiquitous in water matrices, play a significant role in the degradation of organic pollutants by Fenton process. In the present study, the performance of Fenton process in the presence of these anions was studied using phenol as a model compound along with the underlying mechanism and their tolerance limit. The presence of these anions affects the rate constant of the Fenton process and decreases in the following order, ---Cl >  >  >  > F.

Photoredox cobalt dual catalysis toward C3-functionalization of quinoxalinones with alkenes and alkynes.

A site-selective coupling involving quinoxalin-2-ones with alkenes and alkynes has been developed through synergistic visible-light photoredox cobalt catalysis. This method enables C3-selective alkylation and alkenylation of both -substituted and -unsubstituted quinoxalin-2-ones, achieving high yields under mild conditions. Of note, the protocol facilitates the incorporation of two alkene units, leading to a formal three-component coupling, whereas a two-component coupling is preferred for alkynes.

Green-Emitting AIEgen for Fluorescent Switch-Off Detection of Multi-Cations and Applications.

An easy-to-synthesize aggregation-induced emission (AIE) active Schiff base HNSA was obtained by condensing equimolar amount of 3-hydroxy-2-naphthohydrazide and salicylaldehyde. In pure DMSO, HNSA is non-fluorescent, but increasing the HEPES (HO, 10 mM, pH 7.4) fraction (f) ≥ 90% showed an intense green fluorescence with maximum fluorescence intensity at 515 nm.

Microwave-synthesized NiZrO@GNP and NiZrO3@MWCNT nanocomposites: enhanced antimicrobial efficacy against biofilms and .

Unlabelled: The persistent challenge posed by antibiotic-resistant bacteria and tuberculosis necessitates innovative approaches to antimicrobial treatment. This study explores the synthesis and characterization of NiZrO₃ nanoparticles integrated with graphene nanoplatelets (GNP) and multi-walled carbon nanotubes (MWCNT), using a microwave-assisted green synthesis route, employing fenugreek () seed extract as a gelling agent. The synthesised nanocomposites were systematically analyzed using XRD, FT-IR, Raman spectroscopy, HR-SEM and HR TEM analysis to assess structural, optical, and morphological properties.

Exploring the link between sex hormone-binding globulin levels and prostate cancer risk: a comprehensive systematic review and meta-analysis.

Background: Sex hormone-binding globulin (SHBG) plays a critical role in regulating androgen bioavailability and has been hypothesized to influence prostate cancer risk, though existing evidence is inconsistent. This systematic review and meta-analysis aimed to evaluate the association between SHBG levels and prostate cancer risk.

Methods: A comprehensive search was conducted across PubMed, Embase, and Web of Science for studies published up to December 1, 2024.

Multi-indices approach for comprehensive appraisal of groundwater quality and the implication on human health in the Amaravathi basin, Southern India.

Groundwater is often used directly by the public in several river basins of India. Hence, this study was carried out with the objective of assessing the quality of groundwater in the Amaravathi basin, India, using a multiple indices approach. Groundwater quality data from 96 monitoring wells were obtained from the Central Groundwater Board and used in this study.

Investigating the neuroprotective properties of extract against MPP-induced apoptosis in SH-SY5Y human neuroblastoma cells.

This study aims to assess the neuroprotective effects of the methanolic extract of against oxidative stress and cell death induced by neurotoxins MPP  in SH-SY5Y cells. Briefly, the methanolic extract of decreased the cytotoxicity of MPP  in SH-SY5Y cells. Treatment with extract at a concentration of 400 µg/ml resulted in a notable decrease in cell death, particularly in MPP  -induced cells.

Anatomical Insights: Two Case Reports on Protostylid Variants and Literature Synthesis.

Protostylids are an anatomical variant of the paramolar tubercle, which refers to the presence of an additional cusp in the buccal surfaces of maxillary and mandibular bicuspids and molars. This structure, first reported by Dahlberg in 1950, is found in low frequencies and plays a significant role in dental anthropology. This anatomical variant, if present poses a threat to dental caries and periodontal diseases and hence requires early diagnosis and preventive dental care.

Evaluating value-added biochemical and biodiesel production from Chlorococcum humicolo algal biomass in phycoremediation of textile dye effluents.

This study investigates the potentials of Chlorococcum humicolo algal biomass for the extraction of valuable biochemical and biodiesel production, with focus on the phycoremediation of textile dye effluents. The alga was cultivated in three media: CFTRI medium, combined dye effluent, and dye bath effluent in the laboratory. The highest cell count (254 × 10 cells/ml) and lowest oil content (16.

Carbapenem-resistant raises global alarm for new antibiotic regimens.

Carbapenem-resistant (CRAB) is a top-priority pathogen causing a nosocomial infection that increases morbidity and mortality. Treatment options for CRAB are relatively limited by pharmacokinetic restrictions, such as substantial toxicity. Therefore, we must better understand this pathogen to develop new treatments and control strategies.

Optimized dual-tree complex wavelet transform aided multimodal image fusion with adaptive weighted average fusion strategy.

Image fusion is generally utilized for retrieving significant data from a set of input images to provide useful informative data. Image fusion enhances the applicability and quality of data. Hence, the analysis of multimodal image fusion is a new to the research topic, which is designed by combining the images of multimodal into single image in order to preserveexact details.

Dual Multi Scale Attention Network Optimized With Archerfish Hunting Optimization Algorithm for Diabetics Prediction.

Diabetes is a chronic disease that occurs when the body cannot regulate blood sugar levels. Nowadays, the screening tests for diabetes are developed using multivariate regression methods. An increasing amount of data is automatically collected to provide an opportunity for creating challenging and accurate prediction modes that are updated constantly with the help of machine learning techniques.

Self-assembly of differently charged trimesic based lithocholic amphiphiles and their assessment on antimicrobial and biostimulant properties.

Biosurfactant based biostimulants plays a vital role in agriculture filed by enhancing the soil quality, promote plant growth, and eliminate plant pathogens, and increasing nutrient uptake. This manuscript describes the synthesis of trimesic based lithocholic ester functionalized amphiphiles (TMLCEA) with oppositely charged head groups using thiol-yne click chemistry, which is an effective and simple approach. The trimesic based lithocholic ester functionalized zwitterionic penicillamine (TMLCEPA), cationic cysteamine·HCl (TMLCECy), and anionic thiomalic acid (TMLCETM) exhibited hierarchically self-assembled microstructures from below to above the CMC.