Pollution profiles, pathogenicity, and toxicity of bioaerosols in the atmospheric environment of urban general hospital in China.

Airborne microorganisms in hospitals present significant health risks to both patients and employees. However, their pollution profiles and associated hazards in different hospital areas remained largely unknown during the extensive use of masks and disinfectants. This study investigated the characteristics of bioaerosols in an urban general hospital during the COVID-19 pandemic and found that airborne bacteria and fungi concentrations range from 87±35 to 1037±275 CFU/m and 21±15 to 561±132 CFU/m, respectively, with the outpatient clinic and internal medicine ward showing the highest levels.

Indobufen versus aspirin in patients with indication for antiplatelet therapy: A systematic review and meta-analysis.

Introduction: Aspirin is commonly recommended for individuals who have experienced stroke or myocardial infarction (MI). Indobufen, a cyclooxygenase-1 inhibitor, has been studied as a potential alternative. We conducted a meta-analysis and trial sequential analysis (TSA) to compare indobufen with aspirin in patients requiring antiplatelet therapy.

Mitigation of microfibers in laundry effluent: Investigation of luffa fibers as an eco-friendly filtration system.

Domestic laundry wastewater is a major contributor to microfiber emissions in the aquatic environment. Among several mitigation measures, the use of external filters to capture microfibers from wastewater is one of the most efficient and commercially viable methods. This study attempted to develop an eco-friendly filtration medium to filter microfibers in laundry wastewater using luffa cylindrica fibers.

Anti-inflammatory activity of essential oil from medicinal plants: An insight into molecular mechanism, in-silico studies and signaling pathways.

Background: Medicinal plants have historically been the cornerstone of treatment for a myriad of ailments. With modern pharmacology, many contemporary drugs have been derived from traditional medicine practices. Essential oils from these plants, known for their anti-inflammatory capabilities, have played a significant role in treating conditions such as cardiovascular and inflammatory skin diseases, as well as joint inflammation.

Interconnecting surgical science, art, philosophy and technology for holistic health.

Surgery is the branch of medicine which involves correction of the diseases by means of interventions and by means of various instruments and methods. Surgery in latin is called as Chirugi and in the Indian context it is termed as 'Shalyatantra'. Surgery is the science as well as the tantra or technology.

A promising future for breast cancer therapy with hydroxamic acid-based histone deacetylase inhibitors.

Histone deacetylases (HDACs) play a critical role in chromatin remodelling and modulating the activity of various histone proteins. Aberrant HDAC functions has been related to the progression of breast cancer (BC), making HDAC inhibitors (HDACi) promising small-molecule therapeutics for its treatment. Hydroxamic acid (HA) is a significant pharmacophore due to its strong metal-chelating ability, HDAC inhibition properties, MMP inhibition abilities, and more.

Mechanically robust, mouldable, dynamically crosslinked hydrogel flap with multiple functionalities for accelerated deep skin wound healing.

Deep cutaneous wounds, which are difficult to heal and specifically occur on dynamic body surfaces, remain a substantial healthcare challenge in clinical practice because of multiple underlying factors, including excessive reactive oxygen species, potential bacterial infection, and extensive degradation of the extracellular matrix (ECM) which further leads to the progressive deterioration of the wound microenvironment. Any available individual wound therapy, such as antibiotic-loaded cotton gauze, cannot address all these issues. Engineering an advanced multifunctional wound dressing is the current need to promote the overall healing process of such wounds.

General Movements as Predictive Tool of Neurological Outcomes in Term-Born Infants With Hypoxic-Ischemic Encephalopathy at Ages Six and 12 Months.

Background: To explore the utility of general movements assessment as a predictive tool of the neurological outcome in term-born infants with hypoxic-ischemic encephalopathy (HIE) at ages six and 12 months.

Methods: This prospective observational study was conducted for 18 months (August 2018 to December 2019). Term-born newborns with HIE were included.

GSCAT-UNET: Enhanced U-Net model with spatial-channel attention gate and three-level attention for oil spill detection using SAR data.

Marine pollution due to oil spills presents major risks to coastal areas and aquatic life, leading to serious environmental health concerns. Oil Spill detection using SAR data has transitioned from traditional segmentation to a variety of machine learning & deep learning models like UNET proving its efficiency for the task. This research paper proposes a GSCAT-UNET model for efficient oil spill detection and discrimination from lookalikes.

Does women empowerment impact child well-being? Evidence from India.

This study intends to examine how women's empowerment directly or indirectly impacts their children's well-being. Since prior research primarily focussed on the effects of maternal empowerment on specific domains of child well-being, such as healthcare or education, this study seeks to explore a more comprehensive understanding of child well-being, where child well-being is quantified using four domains, viz., physical well-being, psycho-social well-being, educational well-being and awareness of safety.

Can artificial intelligence lower the global sudden cardiac death rate? A narrative review.

Purpose Of Review: WHO defines SCD as sudden unexpected death either within 1 h of symptom onset (witnessed) or within 24 h of having been observed alive and symptom-free (unwitnessed). Sudden cardiac arrest is a major cause of mortality worldwide, with survival to hospital discharge for hospital cardiac arrest and in-hospital cardiac arrest being only 9.3 % and 21.

A mathematical model for derivation of Elevated-Electrode-Placement Electrocardiogram (EEP-ECG) leads from a standard 12-lead electrocardiogram.

Background: Placement of right precordial leads in higher intercostal spaces (EEP-ECG) improves the detection of Brugada Syndrome (BrS). Given the potential difficulty of lead placement and the transient nature of BrS ECG patterns, we developed a model to predict EEP-ECG from a standard 12‑lead ECG.

Objective: To create and validate a model that derives EEP-ECG leads from a standard 12‑lead ECG.

Inequality in COVID-19 vaccine acceptance and uptake: A repeated cross-sectional analysis of COVID vaccine acceptance and uptake in 13 countries.

Background COVID-19 vaccine hesitancy was a key barrier to ending the pandemic via mass immunisation. Objectives Assess magnitudes and differences in socioeconomic inequality in stated COVID-19 vaccine acceptance (hesitancy) and uptake. Methods Online surveys were conducted in 13 countries, collecting data from 15,337 and 18,189 respondents respectively.

Mapping conformational landscape in protein folding: Benchmarking dimensionality reduction and clustering techniques on the Trp-Cage mini-protein.

Quantitative characterization of protein conformational landscapes is a computationally challenging task due to their high dimensionality and inherent complexity. In this study, we systematically benchmark several widely used dimensionality reduction and clustering methods to analyze the conformational states of the Trp-Cage mini-protein, a model system with well-documented folding dynamics. Dimensionality reduction techniques, including Principal Component Analysis (PCA), Time-lagged Independent Component Analysis (TICA), and Variational Autoencoders (VAE), were employed to project the high-dimensional free energy landscape onto 2D spaces for visualization.

In silico analysis of novel Triacontafluoropentadec-1-ene as a sustainable replacement for dodecane in fisheries microplastics: Molecular docking, dynamics simulation and pharmacophore studies of acetylcholinesterase activity.

Plastics play an essential role in modern fisheries and their degradation releases micro- and nano-sized plastic particles which further causes ecological and human health hazards through various environmental contamination pathways and toxicity mechanisms, which can cause respiratory problems, cancer, reproductive toxicity, endocrine disruption and neurological effects in humans. This study utilized various bioinformatics tools through multi-step computational analyses to investigate the interactions between prevalent fisheries microplastics and the key protein receptor acetylcholinesterase (AChE), which is associated with neurotoxicity, as it can interfere with nerve impulses and muscle control. Our results indicate that the binding of seven polymers within AChE's active site, with dodecane and polypropylene exhibited highest affinity with hydrogen bonding were observed through Molecular docking of different program (PyRx) and servers (CB-Dock, eDock) then the stability of AChE-dodecane and AChE-polypropylene complexes were observed through MD simulations for 100 ns.

Potential therapeutics and vaccines: Current progress and challenges in developing antiviral treatments or vaccines for Oropouche virus.

Oropouche virus (OROV), an emerging arbovirus, poses a significant public health challenge in tropical and subtropical regions, with no licensed vaccines or antiviral therapies currently available. This review explores recent advancements in therapeutic strategies and vaccine development for OROV, focusing on molecular mechanisms of viral replication, identification of potential antiviral targets, and the role of immunotherapy in managing infections. Promising antiviral candidates, including ribavirin, mycophenolic acid, and interferon, have demonstrated efficacy in in vitro studies, offering a foundation for further investigation.

Severity grading of hypertensive retinopathy using hybrid deep learning architecture.

Background And Objectives: Hypertensive Retinopathy (HR) is a retinal manifestation resulting from persistently elevated blood pressure. Severity grading of HR is essential for patient risk stratification, effective management, progression monitoring, timely intervention, and minimizing the risk of vision impairment. Computer-aided diagnosis and artificial intelligence (AI) systems play vital roles in the diagnosis and grading of HR.

HgutMgene-Miner: In silico genome mining tool for deciphering the drug-metabolizing potential of human gut microbiome.

The biotransformation of drugs by enzymes from the human microbiome can produce active or inactive products, impacting the bioactivity and function of these drugs inside the human host. However, understanding the biotransformation reactions of drug molecules catalyzed by bacterial enzymes in human microbiota is still limited. Hence, to characterize drug utilization capabilities across all the microbial phyla inside the human gut, we have used a knowledge-based approach to develop HgutMgene-Miner software which predicts xenobiotic metabolizing enzymes (XMEs) through genome mining.

Leveraging molecular dynamics, physicochemical, and structural analysis to explore OMP33-36 protein as a drug target in Acinetobacter baumannii: An approach against nosocomial infection.

The Acinetobacter baumannii is a member of the "ESKAPE" bacteria responsible for many serious multidrug-resistant (MDR) illnesses. This bacteria swiftly adapts to environmental cues leading to the emergence of multidrug-resistant variants, particularly in hospital/medical settings. In this work, we have demonstrated the outer membrane protein 33-36 (Omp33-36) porin as a potential therapeutic target in A.

Efficacy of silver nanoparticles (NPs) and fungal elicitors on the curcuminoid production in Curcuma longa L.

This study investigates the effects of silver nanoparticles (Ag NPs), biogenic silver nanoparticles derived from Rhizopus spp. (R.Ag NPs), and Rhizopus (R) elicitors on the yield and bioactive compounds of turmeric (Curcuma longa) using foliar spray and rhizome dipping techniques.

Microplastics in rivers of Gujarat (India) until the Arabian Sea: assessment of the sources, distribution and associated environmental risk.

Microplastics (MPs) have become a notable concern and are released into the environment through the disposal or fragmentation of large plastics. Rivers have been the major pathways for MPs present in the oceans, which significantly affects the marine environment. In the current study, water samples were collected from the upper stream and downstream of Damanganga and Tapi rivers across different sites in the state of Gujarat, India for exploration of MPs contamination.

Energy-exergy and enviro-economic analysis of water-cooled brazed plate building-integrated condenser for cooling appliances in dwellings.

Globally, domestic refrigerators account for over 13% of the total energy consumption in residential buildings. The brazed plate water-cooled condenser (BPWCC) is compact in size and an attractive option to reduce the energy consumption of refrigerators using domestic water tanks. This study evaluated the performance of a household refrigerator with a secondary refrigerant calorimeter and BPWCC, using an appropriate experimental setup.

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.

Subcutaneous route is a reliable alternative for ACTH-stimulated steroid profiling.

Purpose: Intramuscular acton prolongatum is most often used as an alternative for intramuscular or intravenous tetracosactide for ACTH stimulation in some countries. Intramuscular administration of acton prolongatum is cumbersome whereas intended intramuscular acton prolongatum or tetracosactide may often turn subcutaneous. Hence, we compared the subcutaneous ACTH-stimulated steroid profiling with those of the intramuscular routes.