Conserved ancillary residues situated proximally to the VIM-2 active-site affect its metallo β-lactamase activity.

Verona-integron-metallo-β-lactamase (VIM-2) is one of the most widespread class B β-lactamase responsible for β-lactam resistance. Although active-site residues help in metal binding, the residues nearing the active-site possess functional importance. Here, to decipher the role of such residues in the activity and stability of VIM-2, the residues E146, D182, N210, S207, and D213 were selected through in-silico analyses and substituted with alanine using site-directed mutagenesis.

Low impact of Zostera marina meadows on sediment and water microbiota under brackish conditions.

Background: Zostera marina is an important ecosystem engineer influencing shallow water environments and possibly shaping the microbiota in surrounding sediments and water. Z. marina is typically found in marine systems, but it can also proliferate under brackish conditions.

Global surgery and climate change: how global surgery can prioritise both the health of the planet and its people.

Climate change is an emerging global health crisis, disproportionately affecting low- and middle-income countries (LMICs) where health outcomes are increasingly compromised by environmental stressors such as pollution, natural disasters, and human migration. With a focus on promoting health equity, Global Surgery advocates for expanding access to surgical care and enhancing health outcomes, particularly in resource-limited and disaster-affected areas like LMICs. The healthcare industry-and more specifically, surgical care-significantly contributes to the global carbon footprint, primarily through resource-intensive settings, i.

Improving 3D deep learning segmentation with biophysically motivated cell synthesis.

Biomedical research increasingly relies on three-dimensional (3D) cell culture models and artificial-intelligence-based analysis can potentially facilitate a detailed and accurate feature extraction on a single-cell level. However, this requires for a precise segmentation of 3D cell datasets, which in turn demands high-quality ground truth for training. Manual annotation, the gold standard for ground truth data, is too time-consuming and thus not feasible for the generation of large 3D training datasets.

Synthesis and structural insights of bis(2-methoxy-6-{[(2-methylpropyl)imino]methyl}phenolato) nickel (II) complex through DFT and docking investigations.

Nickel complexes are a potential candidate for antibacterial and antifungal activity. A new Ni (II) complex, bis(2-methoxy-6-{[(2-methylpropyl)imino]methyl}phenolato)nickel (II) (2), was synthesised by reacting, bis(3-methoxy-salicylaldehyde)nickel (II) (1) with isobutylamine. It was characterised by single crystal X-ray diffraction (ScXRD), UV-Vis, NMR, IR, mass spectrometry, and thermogravimetry (TG) to study its structure and physico-chemical properties.

Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram.

Cardiac wall motion abnormalities (WMA) are strong predictors of mortality, but current screening methods using Q waves from electrocardiograms (ECGs) have limited accuracy and vary across racial and ethnic groups. This study aimed to identify novel ECG features using deep learning to enhance WMA detection, referencing echocardiography as the gold standard. We collected ECG and echocardiogram data from 35,210 patients in California and labeled WMA using unstructured language parsing of echocardiographic reports.

Comparative study of conventional and process intensification by reactive distillation designs for glycerol carbonate production from glycerol and diethyl carbonate.

Glycerol carbonate (GC) can be produced from glycerol (GL), a low-value byproduct in the biodiesel industry. In this work, continuous processes of GC production via transesterification from crude GL and diethyl carbonate (DEC) were developed using Aspen Plus. Two cases were considered, and their process performances were compared.

Rolling schedule design for the ESP rolling process based on NSGA-II-DE.

Multiple processes connected closely during the endless strip production (ESP) rolling, it is difficult to obtain the global optimal solution by multi-objective modelling of a single process, and the parameters to be optimized coupled with each other. To obtain the optimal solution, a multi-objective optimization model combining the power consumption, product quality, and loading balance was proposed for the design of an ESP rolling schedule. The thickness and heating temperature were simultaneously taken as the decision variables for coupling the temperature and loading in the rolling process, and the non-dominated sorting genetic algorithm-II (NSGA-II) based on differential evolution (NSGA-II-DE) was applied to obtain the Pareto solutions.

An efficient deep learning system for automatic detection of Acute Lymphoblastic Leukemia.

Early and highly accurate detection of rapidly damaging deadly disease like Acute Lymphoblastic Leukemia (ALL) is essential for providing appropriate treatment to save valuable lives. Recent development in deep learning, particularly transfer learning, is gaining a preferred trend of research in medical image processing because of their admirable performance, even with small datasets. It inspires us to develop a novel deep learning-based leukemia detection system in which an efficient and lightweight MobileNetV2 is used in conjunction with ShuffleNet to boost discrimination ability and enhance the receptive field via convolution layer succession.

From Cell to Organ: Exploring the Toxicological Correlation of Organophosphorus Compounds in Living System.

Malathion is an organophosphate compound widely used as an insecticide in the agriculture sector and is toxic to humans and other mammals. Although several studies have been conducted at different level in different animal models. But there is no work has been conducted on the toxicological correlation from cellular to behavioral level on surviving species model.

Self-Contamination Risk and Failure Modes During High-Level PPE Doffing: A Comparison of Two Powered Air Purifying Respirator (PAPR) Hoods: A Pilot Study.

Background: Personal protective equipment (PPE) doffing protocols can reduce risks of pathogen self-contamination. Powered air purifying respirators (PAPRs) may increase these risks. This study compares viral contamination and errors during simulated doffing of single layer vs double layer hood PAPRs.

Default mode network functional connectivity as a transdiagnostic biomarker of cognitive function.

The default mode network (DMN) is intricately linked with processes such as self-referential thinking, episodic memory recall, goal-directed cognition, self-projection, and theory of mind. Over recent years, there has been a surge in examining its functional connectivity, particularly its relationship with frontoparietal networks (FPN) involved in top-down attention, executive function, and cognitive control. The fluidity in switching between these internal and external modes of processing-highlighted by anti-correlated functional connectivity-has been proposed as an indicator of cognitive health.

Recent advances in plant protein-based sustainable edible film and coatings for applications in the food-pharma industry - Opportunities and challenges: A review.

Plant protein-based edible film and coatings have emerged as eco-friendly alternatives to synthetic packaging, offering biodegradable, non-toxic solutions. Their biocompatibility and film-forming properties make them suitable for direct application on food products, reducing reliance on non-degradable plastics and lowering environmental pollution. Despite their promising advantages, challenges remain in optimizing mechanical properties, production scalability, and consumer acceptance.

Dynamically mechanochromic, fluorescence-responsive, and underwater sensing cellulose nanocrystal-based conductive elastomers.

Utilizing cellulose nanocrystals (CNCs) to mimic biological skin capable of converting external stimuli into optical and electrical signals represents a significant advancement in the development of advanced photonic materials. However, traditional CNC photonic materials typically exhibit static and singular optical properties, with their structural color and mechanical performance being susceptible to water molecules, thereby limiting their practical applications. In this study, CNC-based conductive elastomers with dynamic mechanochromism, fluorescence responsiveness, and enhanced water resistance were developed by incorporating carbon quantum dots (C QDs) and hydrophobic deep eutectic solvents (HDES) into CNC photonic films via an in-situ swelling-photopolymerization method.

Automatic medical imaging segmentation via self-supervising large-scale convolutional neural networks.

Purpose: This study aims to develop a robust, large-scale deep learning model for medical image segmentation, leveraging self-supervised learning to overcome the limitations of supervised learning and data variability in clinical settings.

Methods And Materials: We curated a substantial multi-center CT dataset for self-supervised pre-training using masked image modeling with sparse submanifold convolution. We designed a series of Sparse Submanifold U-Nets (SS-UNets) of varying sizes and performed self-supervised pre-training.

Higher concentration of trehalose dihydrate stabilizes recombinant IgG1 under forced stress conditions.

Stability of complex biotherapeutics like monoclonal antibodies is paramount for their safe and efficacious use. Excipients are inactive ingredients that are added to the purified product so as to offer it a stable environment. Trehalose dihydrate is a non-reducing sugar that is commonly used as a stabilizing agent in biotherapeutic formulations under liquid and frozen states.

Conformational switches in human RNA binding proteins involved in neurodegeneration.

Conformational switching in RNA binding proteins (RBPs) are crucial for regulation of RNA processing and transport. Dysregulation or mutations in RBPs and broad RNA processing abnormalities are related to many human diseases including neurodegenerative disorders. Here, we review the role of protein-RNA conformational switches in RBP-RNA complexes.

Refluxing Mature Compost to Replace Bulking Agents: A Low-Cost Solution for Suppressing Antibiotic Resistance Genes Rebound in Sewage Sludge Composting.

Antibiotic resistance genes (ARGs) rebounding during composting cooling phase is a critical bottleneck in composting technology that increased ARGs dissemination and application risk of compost products. In this study, mature compost (MR) was used as a substitute for rice husk (RH) to mitigate the rebound of ARGs and mobile genetic elements (MGEs) during the cooling phase of sewage sludge composting, and the relationship among ARGs, MGEs, bacterial community and environmental factors was investigated to explore the key factor influencing ARGs rebound. The results showed that aadD, blaCTX-M02, ermF, ermB, tetX and vanHB significantly increased 4.

Recent advances in lipid-based nanocarriers for advanced skin cancer therapy.

Skin cancer is prevalent worldwide,surpassing all other forms of cancer and it does not respond effectively to conventional formulations. Treatment of skin cancer further require deeper permeation into the skin. Therefore, researchers are working on different types of nanoformulations for delivering therapeutic agents to the site of action.

Focused Ultrasound Neuromodulation: Exploring a Novel Treatment for Severe Opioid Use Disorder.

Background: Opioid use disorder remains a critical healthcare challenge as current therapeutic strategies have limitations resulting in high recurrence and deaths. We evaluated safety and feasibility of focused ultrasound (FUS) neuromodulation to reduce substance cravings and use in severe opioid- and co-occurring substance use disorders.

Methods: This prospective, open-label, single-arm study enrolled 8 participants with severe, primary opioid use disorder with co-occurring substance use.

Leveraging almost hydrophobic PVDF membrane and in-situ ozonation in O/UF/BAC system for superior anti-fouling and rejection performance in drinking water treatment.

The almost hydrophobic PVDF membrane (PVDF matrix) commonly exhibited excellent performance in pollutant rejection but with poor anti-fouling performance. This study intended to develop the rejection performance and enhance anti-fouling of the PVDF membrane in an O/UF/BAC system for high quality water production through leveraging the advantages of in-situ ozonation and the nature of the PVDF membrane. Reduced density gradient (RDG) analysis demonstrated that the PVDF membrane exhibited excellent ozone resistance by reducing hydrogen bonds and electrostatic interactions between the membrane surface and ozone.