Research works

Preoperative embolization for glioblastoma surgery: A scoping review

Background: Preoperative embolization for glioblastoma (GBM) is a relatively uncommon procedure, and few studies have described its role as an adjunct to surgery. Methods: PubMed, MEDLINE via Ovid, and ScienceDirect were searched following the Preferred Reporting Items for Scopin...

Newcastle disease virus is a safe and immunogenic respiratory-delivered vaccine against SARS-CoV-2 in a ferret model

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has caused close to 800 million infections and over 7 million deaths worldwide. In addition to its impact on human health, the virus has shown cross-species transmission, including spillover into mustelids such as m...

Acute large vessel occlusion stroke as a neurovascular complication of immune thrombotic thrombocytopenic purpura: Mechanical thrombectomy and neurocritical care challenges

Background: Thrombotic thrombocytopenic purpura (TTP) is a rare thrombotic microangiopathy caused by severe ADAMTS13 deficiency. Although TTP is known to produce diffuse microvascular neurological injury, its presentation as an acute large vessel occlusion (LVO) stroke requiring...

One-Dimensional Spin Chains Attached to Molecular Orbitals in β -Phase Pb x V 2 O 5

The crystal structure of β-phase Pb x V 2 O 5 without superlattice reflection at x < 0.29 and the superlattice structure without diffuse scattering at 0.29 ≤ x ≤ 0.33 are precisely determined for x = 0.28 [analytical value = 0.2662(8)] and 0.33 [0.324(2)], respectively, indica...

DNMT1-targeted macrophages delivering drug-loaded nanoparticles attenuate heart allograft fibrosis via PTPRD-STAT3/6 axis

Abstract Distinct macrophage activation states play key roles in the formation and progression of heart allograft fibrosis. However, the exact molecular mechanisms that regulate the balance between inflammatory and pro-fibrotic macrophage responses during fibrosis remain poorly u...

Post-match biochemical signatures and their association with video tracking metrics in elite soccer (football) players using multiplatform targeted metabolomics

Abstract Urinary metabolomics offers promise for monitoring exercise‑induced physiological stress in football, yet evidence linking post‑match urinary markers to match workload in elite players remains limited. This study investigated pre‑ to post‑match changes in the urinary met...

Unsupervised learning based on CT imaging in identifying subtypes of acute ischemic stroke severity

To explore unsupervised learning based on CT imaging for identifying severity subtypes of acute ischemic stroke (AIS) in the middle cerebral artery territory. One hundred seventy-three AIS patients were retrospectively enrolled. K-means clustering was performed on clinical and CT...

Agrivoltaics could increase global land use efficiency compared to bioenergy

Climate change mitigation scenarios often include a substantial bioenergy component, raising concerns about the land use impacts of large-scale energy crop production. However, agrivoltaic systems have the potential to generate electricity with a higher land use efficiency than b...

Procalcitonin as a predictor of length of stay in patients with odontogenic infections

OBJECTIVES: Our study aimed to evaluate procalcitonin (PCT) as a prognostic marker in advanced odontogenic infections. In addition, we sought to identify further prognostic markers that could be used to predict the length of hospital stay (LOS). MATERIALS AND METHODS: We retrospe...

Sailboat Auto Tiller Blue Water Attachment Mechanical Great Circle Calculations

# Technical Disclosure: Clockwork Mechanical Great Circle Auto-Tiller Corrector for Blue Water Vessels **Author:** [Your Name / Autonomous Research] **Date of Publication:** August 6, 2026 **License:** Creative Commons Attribution 4.0 International (CC-BY 4.0) **Keywords:** Nauti...

New insights into decadal climate variability in the North Atlantic revealed by data-driven dynamical models

Abstract. The Atlantic Multidecadal Variability (AMV) and the North Atlantic Oscillation (NAO) are the dominant modes of oceanic and atmospheric variability in the North Atlantic, respectively, and are key sources of predictability from seasonal to decadal timescales. However, th...

Frontotemporal dementia with right temporal predominance: a clinical comparison with left-predominant FTD

BACKGROUND: The right-temporal variant of frontotemporal dementia (FTD) is well characterised. Whether it should be considered a distinct clinical entity, separate from other syndromes of FTD, remains an open question. The study addressed the issue through a retrospective compari...

Artificial Intelligence in Journalism and Media Practice: A Systematic Review of Applications, Limitations, and Research Approaches

This systematic review investigates the application of artificial intelligence (AI) and machine learning (ML) in journalism and media practice from 2020 to 2026. Following PRISMA guidelines, we analysed 121 peer-reviewed articles from Scopus and Web of Science using a multi-metho...

Data-driven Bayesian Network structure learning for probabilistic inference of rainfall in Rio de Janeiro

Abstract Bayesian Networks (BNs) provide an interpretable probabilistic framework for modeling uncertainty in complex environmental systems. This study proposes a data-driven Bayesian Network (BN) to represent probabilistic relationships among meteorological variables and precipi...

MultifunctionalHybrid Gels Containing Silver Nanoparticles,Gold Nanorods, and Protoporphyrin IX for Synergistic Photothermal–PhotodynamicTherapy

Abstract Photodynamic and photothermal therapies, enhanced by nanotechnology, show great potential in skin cancer treatment. This study reports the synthesis and characterization of hybrid sodium alginate gels conjugated with protoporphyrin-IX, associated with gold and silver nan...

S-AI-CCC: Controlled Cognitive Canonicalization

Background. Large language models routinely transform mathematical expressions, logical formulas, symbolic problems, and unstructured inputs into more regular, compressed, or conventionally normalized forms. We call this phenomenon implicit canonicalization: an emergent statistic...

Quantitative Evaluation of Cervical Spine Morphometry: Zero Echo Time MRI Versus Multislice CT

BACKGROUND: For preoperative cervical assessment, both CT and MRI are often required for bony and soft-tissue evaluation, yet CT entails radiation and MRI poorly depicts cortical bone. ZTE offers CT-like contrast in one examination, but whether it correlates with CT for quantitat...

Hyperspectral Imaging Combined with Multi-Scale Feature Fusion and Improved Faster R-CNN for Automated Detection of Surface Defects on Chicken Carcasses

Chicken meat holds a dominant position in the meat consumption market, and broilers are important primary processed products. However, during the slaughtering and processing of broilers, steps such as hanging, bleeding, scalding, defeathering, neck slitting, and evisceration can...

DVT v20: Superfluid Vacuum Acoustic Horizon and CMB First Acoustic Peak (l_1 = 220) Analysis

The Cosmic Microwave Background (CMB) temperature anisotropy spectrum, specificallythe location of the first acoustic peak (l1 ≈ 220), is widely considered primary evidence forCold Dark Matter (CDM). In this paper, we demonstrate that the acoustic horizon and thefirst multipole p...

Data and channel-aware device selection for split learning in resource-constrained B5G/6 G networks

Abstract Split learning (SL) is a promising distributed learning approach for fifth-generation/sixth-generation (B5G/6 G) networks. However, its performance is affected by bandwidth constraints and statistical heterogeneity in the data. Prior works have considered either channel-...