Browse Articles

Lithio-Gel via Lithium Bonding: Mitigating Anode Failure by Blocking Crosstalk in Rechargeable Li–SOCl ₂ Batteries

Trust and empathy toward artificial agents under task-language uncertainty

Oxyalkylation of Alkenes via Triple Radical Sorting

Correction: Basic emotions reported by individuals with persistent physical symptoms receiving exposure therapy versus healthy lifestyle promotion in primary care

Single Molecule Eu ^2+/3+ Complex Platform for Optical and Magnetic Resonance Imaging In Vivo

Assessing patient awareness of bruxism before dental implant therapy

Asymmetric Self-Assembly of Functional Ionic Block Copolymers with Tailored Dense Charge Modification

Multi-scale environmental drivers of heron and egret colony assemblages in Korea using self-organizing map clustering

Phosphonium Ions as Activating Groups for the Selective Alkylation of Pyridines and Polyazines

Effect of subsequent passages on biofilm formation intensity, ALS genes expression, and cell surface hydrophobicity variability in clinical Candida albicans isolates

Band Gap Renormalization Drives Ultrafast Charge Separation and Slow Recombination in Covalently Functionalized Carbon Nanotubes: Nonadiabatic Molecular Dynamics Simulation

3D radiomics profiling of thyroid tumors using micro-CT

Abstract Tumor heterogeneity plays a central role in treatment resistance, disease progression, and diagnostic uncertainty. However, it may be overlooked by traditional 2D histology. Accurate 3D assessment of tumor microarchitecture is therefore important for capturing its spatial complexity. Micro-CT, a well-established imaging modality now emerging for high-resolution 3D virtual histology of soft tissues, provides a promising alternative. Combined with radiomics, this technique enables interpretable, quantitative characterization of tumor biology beyond visual inspection. In this study, we analyzed radiomics signatures of a large cohort of thyroid tumors (418 patients) using micro-CT imaging of tissue microarrays. We achieved robust classification of (i) neoplastic versus non-neoplastic thyroid tissues, (ii) papillary thyroid carcinoma versus follicular thyroid neoplasm, and (iii) BRAF V600E mutation status. Shapley additive explanations were used to reveal key visual traits driving these classification decisions. Exploratory analysis in a limited TERT cohort (8 mutated vs 103 wild-type) identified prospective radiomics patterns associated with TERT promoter mutations, suggesting potential surrogate imaging biomarkers that warrant further investigation. Micro-CT radiomics shows promise as a complementary tool for diagnostic classification in thyroid cancer and offers a platform for quantitative 3D tissue characterization pending broader validation.

Late-Stage Aryl NCF ₃ and SCF ₃ Installation Enabled by Coupling Flow-Generated Anions with Aryl Thianthrenium Salts

Probiotic and paraprobiotic intervention modulates testicular DNA methylation in streptozotocin-induced diabetic rats: insights into the role of Lactobacillus rhamnosus GG

Tandem Dual-Anode Electrochemical Reactor for Valorizing Chlorinated Aromatic Pollutants into Tailorable Polymeric Adsorbent

Photoluminescence enhancement by propagating surface plasmons confined in microresonators

Abstract A number of studies of light-emitting devices have aimed to improve the luminescence efficiency, but the luminescence is affected by the presence of a metal layer. This is because electromagnetic waves propagating along the surface of a flat metal layer (or surface plasmon polaritons [SPPs]) generally deactivate excitons in emissive materials into the ground states. To overcome this problem, we propose a way of converting the deactivating character of SPPs into the opposite character to enhance the photoluminescence (PL). To achieve the PL enhancement, we localized SPPs to generate their standing waves in a whispering gallery mode microresonator. The standing waves were exploited to produce resonance between the oscillated electromagnetic fields of the SPPs’ standing waves and the transition dipoles of excitons so that the excitons can efficiently emit PL.

Vanadium-Induced Lattice Compression and Electronic Modulation in Iridium–Ruthenium Electrocatalysts Boost Acidic Oxygen Evolution Reaction

Reducing experimental uncertainty in the calculation of cavity swelling in a transmission electron microscope through crystallographically aided void volume tracking

Fully Reversible Photocontrol over DNA Intercalation with Visible Light

The dating of leather bindings using ER-FTIR spectroscopy and machine learning

Abstract Libraries and archives hold large collections of medieval manuscripts that are of cultural importance to the regions they serve. These collections are often highly studied for their written material as a snapshot of how life was at the time of writing. By studying that, codicologists can estimate a moderately accurate date for the objects, but it requires significant time, expertise, and effort to achieve these dates. Limitations regarding sample collection and preparation prevent large scale and robust scientific investigation of these culturally significant collections. Recent advancements in the scientific community around non-destructive and non-invasive analysis have helped open the door to study these collections. This study attempts to utilize External Reflectance Fourier Transform Infrared (ER-FTIR) spectroscopy as a tool for molecular decay (MD) dating. By working closely with codicologists and conservators, it is possible to build an MD dating tool by looking at the chemical differences in leather as it ages. With an estimated uncertainty of ± 66 years, this study aims to prove that it is possible to have an accurate dating tool that is fast, easy to interpret, and non-destructive/non-invasive to cultural heritage collections.