Organic Mixed Conductors for Neural Biomimicry and Biointerfacing.

Organic mixed ionic-electronic conductors (OMIECs) could revolutionize bioelectronics by enabling seamless integration with biological systems. This review explores their role in neural biomimicry and biointerfacing, with a focus on how backbone design, sidechain optimization, and antiambipolarity impact performance. Recent advances highlight OMIECs' biocompatibility and mechanical compliance, making them ideal for bioelectronic applications.

Anomalous superconductivity in twisted MoTe nanojunctions.

Introducing superconductivity in topological materials can lead to innovative electronic phases and device functionalities. Here, we present a unique strategy for quantum engineering of superconducting junctions in moiré materials through direct, on-chip, and fully encapsulated 2D crystal growth. We achieve robust and designable superconductivity in Pd-metalized twisted bilayer molybdenum ditelluride (MoTe) and observe anomalous superconducting effects in high-quality junctions across ~20 moiré cells.

Blind-label subwavelength ultrasound imaging.

There is a long-existing trade-off between the imaging resolution and penetration depth in acoustic imaging caused by the diffraction limit. Most existing approaches addressing this trade-off require controlled "labels," i.e.

Predicting On-Road Air Pollution Coupling Street View Images and Machine Learning: A Quantitative Analysis of the Optimal Strategy.

Integrating mobile monitoring data with street view images (SVIs) holds promise for predicting local air pollution. However, algorithms, sampling strategies, and image quality introduce extra errors due to a lack of reliable references that quantify their effects. To bridge this gap, we employed 314 taxis to monitor NO, NO, PM, and PM, and extracted features from ∼382,000 SVIs at multiple angles (0°, 90°, 180°, 270°) and buffer radii (100-500 m).

Quantum Analog of Landau-Lifshitz-Gilbert Dynamics.

The Landau-Lifshitz-Gilbert (LLG) and Landau-Lifshitz (LL) equations play an essential role for describing the dynamics of magnetization in solids. While a quantum analog of the LL dynamics has been proposed in [Phys. Rev.

Unified Variational Approach Description of Ground-State Phases of the Two-Dimensional Electron Gas.

The two-dimensional electron gas (2DEG) is a fundamental model, which is drawing increasing interest because of recent advances in experimental and theoretical studies of 2D materials. Current understanding of the ground state of the 2DEG relies on quantum Monte Carlo calculations, based on variational comparisons of different Ansätze for different phases. We use a single variational ansatz, a general backflow-type wave function using a message-passing neural quantum state architecture, for a unified description across the entire density range.

Two-Dimensional Magnetic Exciton Polariton with Strongly Coupled Atomic and Photonic Anisotropies.

Anisotropy is a fundamental property of both material and photonic systems. The interplay between material and photonic anisotropies, however, has hardly been explored due to the vastly different length scales. Here we demonstrate exciton polaritons in a 2D antiferromagnet, CrSBr, coupled with an anisotropic photonic crystal cavity, where the spin, atomic, and photonic anisotropies are strongly correlated.

Laser Wakefield Acceleration of Ions with a Transverse Flying Focus.

The extreme electric fields created in high-intensity laser-plasma interactions could generate energetic ions far more compactly than traditional accelerators. Despite this promise, laser-plasma accelerator experiments have been limited to maximum ion energies of ∼100  MeV/nucleon. The central challenge is the low charge-to-mass ratio of ions, which has precluded one of the most successful approaches used for electrons: laser wakefield acceleration.

Time-Domain Bound States in the Continuum.

We present the concept of time-domain bound states in continuum. We show that a rapid judiciously designed temporal modulation of the refractive index in a spatially homogenous medium gives rise to a bound state in time, embedded in a continuum of wave numbers. Mathematically, these bound states in the continuum are closed form solutions of the Maxwell equations in time and one-dimensional space.

Comparative Efficacy and Acceptability of Non-surgical Treatments with or without Exercise for Diastasis Recti Abdominis in Postpartum Women: A Network Meta-Analysis of Randomized Controlled Trials.

Background: Diastasis recti abdominis (DRA), commonly occurring in postpartum women, is not only an aesthetic issue but is also highly associated with functional impairments. Various conservative treatment modalities have been employed in clinical practice to alleviate DRA. However, the comparative efficacy of these non-surgical treatments for improving the inter-recti distance (IRD) remains to be determined.

CMRxRecon2024: A Multimodality, Multiview k-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.

. The released CMRxRecon2024 dataset is currently the largest and most protocol-diverse publicly available k-space dataset including multi-modality and multi-view cardiac MRI data from 330 healthy volunteers, and each one covers standardized and commonly used clinical protocols. ©RSNA, 2025.

Radiogenomic explainable AI with neural ordinary differential equation for identifying post-SRS brain metastasis radionecrosis.

Background: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but an adverse effect, radionecrosis, complicates post-SRS management. Differentiating radionecrosis from tumor recurrence non-invasively remains a major clinical challenge, as conventional imaging techniques often necessitate surgical biopsy for accurate diagnosis. Machine learning and deep learning models have shown potential in distinguishing radionecrosis from tumor recurrence.

[Trigeminal neuralgia - Overview].

Trigeminal neuralgia is the most common cause of facial pain in individuals over 50 years old and can have a profoundly negative impact on quality of life. Epidemiological studies have measured the annual incidence of trigeminal neuralgia at around 4-5 cases per 100,000 inhabitants per year. In Iceland, this would amount to about 16-20 new cases annually.

Predicting Perovskite Photovoltaics Performance.

Wide band gap FACsPb(IBr) perovskite photovoltaic (PV) devices are measured by spectroscopic ellipsometry in the through-the-glass configuration and analyzed to determine the complex optical property spectra of the perovskite absorber as well as the structural properties of all constituent layers. This information is used to simulate external quantum efficiency (EQE) spectra, to calculate PV device performance parameters such as short circuit current density, open circuit voltage, fill factor, and power conversion efficiency, and to develop strategies for increasing the accuracy of predictions. Simulations and calculations tend to overestimate PV device performance parameters, undermining the accuracy and usefulness of those simulations.

Imine-Based Polymeric Mixed Ionic-Electronic Conductors Featuring Degradability and Biocompatibility for Transient Bioinspired Electronics.

Degradable features are highly desirable to advance next-generation organic mixed ionic-electronic conductors (OMIECs) for transient bioinspired artificial intelligence devices.It is highly challenging that OMIECs exhibit excellent mixed ionic-electronic behavior and show degradability simultaneously.Specially,in OMIECs,doping is often a tradeoff between structural disorder and charge carrier mobilities.

Construction of an Artificially Intelligent Model for Accurate Detection of HCC by Integrating Clinical, Radiological, and Peripheral Immunological Features.

Background: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to improve its early detection. We aimed to develop a model with multi-modal features (MMF) using artificial intelligence (AI) approaches to enhance the performance of HCC detection.

Materials And Methods: A total of 1,092 participants were enrolled from 16 centers.

Optically Transparent Carbon Electrodes for Single Entity Electrochemistry.

We demonstrate the application and benefit of optically transparent carbon electrodes (OTCEs) for single entity nanoelectrochemistry. OTCEs are prepared by pyrolyzing thin photoresist films on fused quartz coverslips to create conductive, transparent, thin films. Optical, electrical, topographical, and electrochemical properties of OTCEs are characterized to evaluate their suitability for single entity electrochemistry.

Elastomer-assisted graphene transfer technique for enhanced resonance characteristics in chemisorption-based graphene resonant mass sensors.

A process technology was developed for transferring strained graphene sheets using an elastomer nanosheet to enhance the resonance characteristics of a graphene resonator. The strain-induced graphene resonator demonstrated a 1.80-fold improvement in the product of resonant frequency and -factor compared to the unstrained resonator.

Human TSC2 mutant cells exhibit aberrations in early neurodevelopment accompanied by changes in the DNA Methylome.

Tuberous Sclerosis Complex (TSC) is a debilitating developmental disorder characterized by a variety of clinical manifestations. While benign tumors in the heart, lungs, kidney, and brain are all hallmarks of the disease, the most severe symptoms of TSC are often neurological, including seizures, autism, psychiatric disorders, and intellectual disabilities. TSC is caused by loss of function mutations in the TSC1 or TSC2 genes and consequent dysregulation of signaling via mechanistic Target of Rapamycin Complex 1 (mTORC1).

Enhancing organic cathodes of aqueous zinc-ion batteries nitro group modification.

Organic compounds present promising options for sustainable zinc battery electrodes. Nevertheless, the electrochemical properties of current organic electrodes still lag behind those of their inorganic counterparts. In this study, nitro groups were incorporated into pyrene-4, 5, 9, 10-tetraone (PTO), resulting in an elevated discharge voltage due to their strong electron-withdrawing capabilities.

A report on the physicochemical and antioxidant properties of three Indonesian forest honeys produced by .

Indonesia, one of the largest tropical forests, offers a diverse range of nectar sources that contribute to the unique characteristics of forest honey. This study aims to investigate physicochemical and antioxidant properties of forest honey from three distinct regions of Indonesia. Key physicochemical parameters include moisture, color, electrical conductivity (EC), total dissolved solids (TDS), total suspended solids (TSS), density, diastase number (DN), hydroxymethylfurfural (HMF), pH, total acidity, ash content, protein content, and reducing sugars.

Effects of combo therapy with coenzyme Q10 and mitochondrial transplantation on myocardial ischemia/reperfusion-induced arrhythmias in aged rats.

Objectives: Ischemia/reperfusion (IR)-induced ventricular arrhythmia, which mainly occurs after the opening of coronary artery occlusion, poses a clinical problem. This study aims to investigate the effectiveness of pretreatment with coenzyme Q (CoQ) in combination with mitochondrial transplantation on IR-induced ventricular arrhythmias in aged rats.

Materials And Methods: Myocardial IR induction was performed by left anterior descending coronary artery occlusion for 30 min, followed by re-opening for 24 hr.

Prediction of energy consumption in four sectors using support vector regression optimized with genetic algorithm.

Effectively managing and optimizing energy resources to accommodate population growth while minimizing carbon emissions has become increasingly intricate. A proficient approach to this dilemma is accurately predicting energy usage and emissions across diverse sectors. This paper unveils a genetic algorithm (GA)-optimized support vector regression (SVR) model designed to (i) predict electricity generation, (ii) predict energy consumption in four primary sectors-residential, industrial, commercial, and agricultural, and (iii) estimate sector-specific carbon emissions.

Highly sensitive non-enzymatic glucose sensing using Ni nanowires and graphene thin film on the gate area of extended gate electric double-layer field-effect transistor.

This study presents an innovative glucose detection platform, featuring a highly sensitive, non-enzymatic glucose sensor. The sensor integrates nickel nanowires and a graphene thin film deposited on the gate region of an extended-gate electric double-layer field-effect transistor (EGEDL-FET). This unique combination of materials and device structure enables superior glucose sensing performance.

Light-Programmable g-CN Microrobots with Negative Photogravitaxis for Photocatalytic Antibiotic Degradation.

Microrobots enhance contact with pollutants through their movement and flow-induced mixing, substantially improving wastewater treatment efficiency beyond traditional diffusion-limited methods. g-CN is an affordable and environmentally friendly photocatalyst that has been extensively researched in various fields such as biomedicine and environmental remediation. However, compared to other photocatalytic materials like TiO and ZnO, which are widely used in the fabrication of micro- and nanorobots, research on g-CN for these applications is still in its early stages.