Assessing spatial sequencing and imaging approaches to capture the molecular and pathological heterogeneity of archived cancer tissues.

Spatial transcriptomics (ST) offers enormous potential to decipher the biological and pathological heterogeneity in precious archival cancer tissues. Traditionally, these tissues have rarely been used and only examined at a low throughput, most commonly by histopathological staining. ST adds thousands of times as many molecular features to histopathological images, but critical technical issues and limitations require more assessment of how ST performs on fixed archival tissues.

Centimeter-Sized CsPbBr Single-Crystal Films for Energy-Resolved Radiation Detection.

Metal halide perovskites (MHPs) are promising materials for radiation detection. Compared with polycrystalline films, single crystals (SCs) have lower defect density, higher carrier mobility, and lifetime. However, the direct synthesis of MHP SCs for large-area flat panel imaging detectors remains challenging.

Correction: transplantation of intrahepatic cholangiocyte organoids with decellularized liver-derived hydrogels supports hepatic cellular proliferation and differentiation in chronic liver injury.

Correction for ' transplantation of intrahepatic cholangiocyte organoids with decellularized liver-derived hydrogels supports hepatic cellular proliferation and differentiation in chronic liver injury' by Impreet Kaur , , 2025, , 918-928, https://doi.org/10.1039/D4TB01503G.

The game of language learning and rewiring biocognitive receptors.

This study introduces a framework that integrates AI-driven Game-Based Language Teaching (GBLT) with advanced neuroscience to transform language education for visually impaired learners. Built on the principles of neuroplasticity and epigenetics, the approach leverages educational psychology with the help of adaptive AI to deliver personalized, gamified learning experiences that reshape neural pathways, improve memory retention, and strengthen emotional resilience. By fostering low-stress, immersive environments, it triggers positive epigenetic changes, enhancing long-term cognitive flexibility.

Enhancing semantic segmentation for autonomous vehicle scene understanding in indian context using modified CANet model.

Recent advancements in artificial intelligence (AI) have increased interest in intelligent transportation systems, particularly autonomous vehicles. Safe navigation in traffic-heavy environments requires accurate road scene segmentation, yet traditional computer vision methods struggle with complex scenarios. This study emphasizes the role of deep learning in improving semantic segmentation using datasets like the Indian Driving Dataset (IDD), which presents unique challenges in chaotic road conditions.

Attention induction based on pathologist annotations for improving whole slide pathology image classifier.

We propose a method of to improve an attention mechanism in a whole slide image (WSI) classifier. Generally, only some regions in a WSI are useful for lesion classification, and the WSI classifier is required to find and focus on such regions for the classification. Multiple instance learning and hierarchical representation learning are widely employed for WSI processing and both use attention mechanisms to automatically find the useful regions and then conduct the class prediction.

Multimodal data deep learning method for predicting symptomatic pneumonitis caused by lung cancer radiotherapy combined with immunotherapy.

Objectives: The pairing of immunotherapy and radiotherapy in the treatment of locally advanced nonsmall cell lung cancer (NSCLC) has shown promise. By combining radiotherapy with immunotherapy, the synergistic effects of these modalities not only bolster antitumor efficacy but also exacerbate lung injury. Consequently, developing a model capable of accurately predicting radiotherapy- and immunotherapy-related pneumonitis in lung cancer patients is a pressing need.

Wearable optical coherence tomography angiography probe with extended depth of field.

Significance: Optical coherence tomography (OCT) is widely utilized to investigate brain activities and disorders in anesthetized or restrained rodents. However, anesthesia can alter several physiological parameters, leading to findings that might not fully represent the true physiological state. To advance the understanding of brain function in awake and freely moving animals, the development of wearable OCT probes is crucial.

Anti-Scar Effects of Micropatterned Hydrogel after Glaucoma Drainage Device Implantation.

Excessive fibrosis is the primary factor for the failure of glaucoma drainage device (GDD) implantation. Thus, strategies to suppress scar formation in GDD implantation are crucial. Although it is known that in implanted medical devices, microscale modification of the implant surface can modulate cell behavior and reduce the incidence of fibrosis, in the field of ophthalmic implants, especially the modification and effects of hydrogel micropatterns have rarely been reported.

Real-time mechanism-based interventions for daily alcohol challenges: Protocol for ecological momentary assessment and intervention.

Background: Advancing evidence-based, tailored interventions for substance use disorders (SUDs) requires understanding temporal directionality while upholding ecological validity. Previous studies identified loneliness and craving as pivotal factors associated with alcohol consumption, yet the precise directionality of these relationships remains ambiguous.

Objective: This study aims to establish a smartphone-based real-life intervention platform that integrates momentary assessment and intervention into everyday life.

Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection.

Introduction: The prevalence of age-related brain issues has risen in developed countries because of changes in lifestyle. Alzheimer's disease leads to a rapid and irreversible decline in cognitive abilities by damaging memory cells.

Methods: A ResNet-18-based system is proposed, integrating Depth Convolution with a Squeeze and Excitation (SE) block to minimize tuning parameters.

An electrically conductive dinuclear aluminium complex for the fabrication of a Schottky diode.

Electrical performances of a biphenyl-derived amido Schiff base ligand L and its dinuclear Al(iii) complex (complex 1) were investigated in a metal-semiconductor (MS) junction. Electrical studies revealed that complex 1 significantly enhanced the electrical conductivity and improved the characteristics of a Schottky barrier diode (SBD). The - characteristics demonstrated that complexation of ligand L with Al(iii) ion increased the conductivity by two orders of magnitude (conductivity of L = 1.

Functional and comparative analysis of the Fe/2-oxoglutarate-dependent dioxygenases without using any substrate.

Non-haem iron (Fe) and 2-oxoglutarate(2OG)-dependent dioxygenases catalyse various biological reactions. These enzymes couple the oxidative decarboxylation of 2OG to the hydroxylation of the substrates. While some of these enzymes are reported to have multiple substrates, the substrate remains unknown for many of the enzymes.

A GIS-based on application of Monte Carlo and multi-criteria decision-making approach for site suitability analysis of solar-hydrogen production: Case of Cameroon.

This article analyzes and compares three methodologies for identifying suitable regions for solar hydrogen production using photovoltaic panels: AHP (Analytic Hierarchy Process), FAHP (Fuzzy Analytic Hierarchy Process), and MC-FAHP (Monte Carlo FAHP), integrated with GIS (Geographic Information Systems). The study employs ten criteria across technical (Global Horizontal Irradiance, temperature, slope, elevation, orientation), economic (distance from transportation and electrical networks), and social (population density, proximity to residential areas) factors. Environmental and exclusion criteria define restrictive zones.

Mapping integral cell-type-specific interferon-induced gene regulatory networks (GRNs) involved in systemic lupus erythematosus using systems and computational analysis.

Systemic lupus erythematosus (SLE) is a systemic autoimmune disorder characterized by the production of autoantibodies, resulting in inflammation and organ damage. Although extensive research has been conducted on SLE pathogenesis, a comprehensive understanding of its molecular landscape in different cell types has not been achieved. This study uncovers the molecular mechanisms of the disease by thoroughly examining gene regulatory networks within neutrophils, dendritic cells, T cells, and B cells.

Influence of cobalt substitution in CoFeO nanoparticles on structural, morphological, cation distribution, optical and magnetic properties.

This paper presents the first-time synthesis of CoFe Co O nanoparticles (where x = 0.0, 0.1, 0.

Strategic choices in bioprocessing of L(+)Lactic acid: Homo-fermentative monocultures with novel agro-residue combination enhances economic production.

Microbial fermentation of agro-industrial residues is gaining significant traction as a sustainable and economically viable approach in bioprocessing. This study explored lactic acid production from selected agro-industrial residues: pre-treated sugarcane waste, potato peel waste, or milk processing waste with alfalfa pellets using strains of organic origin. Five homo-fermentative strains (VITJ1, VITJ2, VITJ3, VITJ4, and VITJ5) were assessed for compatibility and formed into 15 consortia.

Mesenchymal stem cell-derived exosomes mitigate amyloid β-induced retinal toxicity: Insights from rat model and cellular studies.

Amyloid β (Aβ) has emerged as a pathophysiological driver in age-related macular degeneration (AMD), emphasizing its significance in the aetiology of this prevalent sight-threatening condition. The multifaceted nature of AMD pathophysiology, presumably involving diverse retinal cascades, corresponds with the complexity of Aβ-induced retinopathy. Therefore, targeting a broad array of pathogenic processes holds promise for therapeutic intervention in AMD-associated retinal pathology.

Efferent compared to afferent neural substrates of the vergence eye movement system evoked via fMRI.

Introduction: The vergence neural system was stimulated to dissect the afferent and efferent components of symmetrical vergence eye movement step responses. The hypothesis tested was whether the afferent regions of interest would differ from the efferent regions to serve as comparative data for future clinical patient population studies.

Methods: Thirty binocularly normal participants participated in an oculomotor symmetrical vergence step block task within a functional MRI experiment compared to a similar sensory task where the participants did not elicit vergence eye movements.

Cation Effect on the Electrochemical Platinum Dissolution.

Ensuring the stability of electrocatalysts is paramount to the success of electrochemical energy conversion devices. Degradation is a fundamental process involving the release of positively charged metal ions into the electric double layer (EDL) and their subsequent diffusion into the bulk electrolyte. However, despite its vital importance in achieving prolonged electrocatalysis, the underlying causality of catalyst dissolution with the EDL structure remains largely unknown.

Fluorometric Turn Off Detection of Cu and Pd Ions Using 1-(Imidazo[5,1-a]isoquinolin-3-yl)naphthalen-2-ol.

The fused heterocycle 1-(imidazo[5,1-a]isoquinolin-3-yl)naphthalen-2-ol (LH) has been synthesized and characterized by spectroscopic methods. Probe LH upon irradiation with λ = 336 nm exhibited strong fluorescence with λ = 437 nm in MeOH/HEPES buffer (5 mM, pH = 7.4, 2:8, v/v).

Targeting human arginyltransferase and post-translational protein arginylation: a pharmacophore-based multilayer screening and molecular dynamics approach to discover novel inhibitors with therapeutic promise.

Protein arginylation mediated by arginyltransferase 1 is a crucial regulator of cellular processes in eukaryotes by affecting protein stability, function, and interaction with other macromolecules. This enzyme and its targets are of immense interest for modulating cellular processes in diseased states like obesity and cancer. Despite being an important target molecule, no highly potent drug against this enzyme exists.

Correction: Self-generating electricity system driven by aqueous humor flow and trabecular meshwork contraction motion activated BKCa for glaucoma intraocular pressure treatment.

Correction for 'Self-generating electricity system driven by aqueous humor flow and trabecular meshwork contraction motion activated BKCa for glaucoma intraocular pressure treatment' by Ruiqi Wang , , 2025, https://doi.org/10.1039/D4MH01004C.

Point-of-need diagnostics in a post-Covid world: an opportunity for paper-based microfluidics to serve during syndemics.

Zoonotic outbreaks present with unpredictable threats to human health, food production, biodiversity, national security and disrupt the global economy. The COVID-19 pandemic-caused by zoonotic coronavirus, SARS-CoV2- is the most recent upsurge of an increasing trend in outbreaks for the past 100 years. This year, emergence of avian influenza (H5N1) is a stark reminder of the need for national and international pandemic preparedness.

Preparation of Silicon Nanopillar Arrays Using Reactive Ion Etching with a Faraday Cage.

Faraday cages are extensively utilized in plasma-based etching and deposition processes to regulate ion behavior due to their shielding effect on electromagnetic fields. Herein, vertical silicon nanopillar arrays are fabricated through SF and O reactive ion etching. By incorporation of a Faraday cage in the plasma equipment, the impact of the Faraday cage on the morphology of the silicon nanopillars is analyzed; the Faraday cage blocks out the sputtered particles and eradicates the formation of silicon nanograss.