High-Sensitivity, High-Resolution Miniaturized Spectrometers for Ultraviolet to Near-Infrared Using Guided-Mode Resonance Filters.

Miniaturized spectrometers have significantly advanced real-time analytical capabilities in fields such as environmental monitoring, healthcare diagnostics, and industrial quality control by enabling precise on-site spectral analysis. However, achieving high sensitivity and spectral resolution within compact devices remains a significant challenge, particularly when detecting low-concentration analytes or subtle spectral variations critical for chemical and molecular analysis. This study introduces an innovative approach employing guided-mode resonance filters (GMRFs) to address these limitations.

Excitonic Dark States in Molecular Monolayer Crystals.

The tightly bound excitons and strong dipole-dipole interactions in two-dimensional molecular crystals enable rich physics. Among them, superradiance (SR), the spontaneous coherent emission from bright excitons, has sparked considerable interest in quantum-information applications. In addition, optically forbidden states (dark exciton states) have potential to both achieve Bose-Einstein condensation and modulate exciton dynamics.

THOR: a TMB heterogeneity-adaptive optimization model predicts immunotherapy response using clonal genomic features in group-structured data.

With the increasing number of indications for immune checkpoint inhibitors in early and advanced cancers, the prospect of a tumor-agnostic biomarker to prioritize patients is compelling. Tumor mutation burden (TMB) is a widely endorsed biomarker that quantifies nonsynonymous mutations within tumor DNA, essential for neoantigen production, which, in turn, correlates with the immune response and guides decision-making. However, the general clinical application of TMB-relying on simple mutational counts targeted at a single endpoint-does not adequately capture the complex clonal structure of tumors nor the multifaceted nature of prognostic indicators.

Computational evaluation of interactive dynamics for a full transcatheter aortic valve device in a patient-specific aortic root.

Transcatheter aortic valve implantation (TAVI) has become a key treatment for severe aortic stenosis, especially for patients unsuitable for surgery. Since its introduction in 2002, TAVI has advanced significantly due to improvements in imaging, operator skills, and device engineering. Despite these innovations, challenges in device sizing and positioning remain, complicating outcome predictions.

Covalent-Organic-Framework Enabled Efficient Three-dimensional K-storage via Electrolyte Solvation Manipulation.

Covalent-organic-framework (COF) materials with a designable periodic framework have been expected as a kind of promising anode material for potassium ion batteries (PIBs). However, these materials suffer seriously from low capacity, poor rate performance, and slow reaction kinetics during the K-storage process, significantly limiting their widespread applications. Herein, a three-dimensional (3D) COF material denoted as CN-COF with a high N content and defined configuration as well as a graphite-like layer stacking structure was developed as a promising anode to realize efficient 3D K-storage performance with enhanced interfacial stability and reaction kinetics via an electrolyte chemistry compatibility strategy.

Fostering consumer engagement in online shopping: Assessment of environmental video messages in driving purchase intentions toward green products.

Due to environmental concerns and the growing emphasis on sustainable consumption, educating consumers and promoting eco-friendly products are paramount. In this perspective, this research aims to investigate the effect of the tone of video messages delivered just before the decision-making process on visual attention, environmental awareness, and the tendency to consume green products on online platforms. In view of the Regulatory Focus Theory, the study employs a dual-method approach, integrating eye-tracking as a neuromarketing tool and a questionnaire to enhance the reliability of findings.

Flexible payload transportation using cooperative space manipulators with statics compensation.

This study focuses on the dynamics and cooperative control for two space manipulators transporting the flexible payload. The assumed mode method is used to discretize the flexible component. Based on the Lagrange's equations of second kind and Lagrange multiplier method, the dynamics model of system is built.

Beyond conventional structures: emerging complex metal oxides for efficient oxygen and hydrogen electrocatalysis.

The core of clean energy technologies such as fuel cells, water electrolyzers, and metal-air batteries depends on a series of oxygen and hydrogen-based electrocatalysis reactions, including the oxygen reduction reaction (ORR), oxygen evolution reaction (OER) and hydrogen evolution reaction (HER), which necessitate cost-effective electrocatalysts to improve their energy efficiency. In the recent decade, complex metal oxides (beyond simple transition metal oxides, spinel oxides and ABO perovskite oxides) have emerged as promising candidate materials with unexpected electrocatalytic activities for oxygen and hydrogen electrocatalysis owing to their special crystal structures and unique physicochemical properties. In this review, the current progress in complex metal oxides for ORR, OER, and HER electrocatalysis is comprehensively presented.

Lewis Acid-Mediated Interfacial Water Supply for Sustainable Proton Exchange Membrane Water Electrolysis.

The catalyst-electrolyte interface plays a crucial role in proton exchange membrane water electrolysis (PEMWE). However, optimizing the interfacial hydrogen bonding to enhance both catalytic activity and stability remains a significant challenge. Here, a novel catalyst design strategy is proposed based on the hard-soft acid-base principle, employing hard Lewis acids (LAs = ZrO, TiO, HfO) to mediate the reconfiguration of interfacial hydrogen bonding, thereby enhancing the acidic oxygen evolution reaction (OER) performance of RuO.

Surface forming mechanism and numerical simulation study in four-roll flexible rolling forming.

This study investigates the surface forming mechanism in four-roll flexible rolling forming processes, addressing issues of low efficiency and significant residual stresses, particularly when dealing with lightweight high-strength materials such as LY12 aluminum alloy. Initially, the study systematically analyzes the variation in sheet curvature radius under different forming methods, considering the separate and combined actions of side rolls and flexible rolls in the pre-bending forming process. Subsequently, actual forming data is obtained by conducting four-roll flexible rolling forming on LY12 aluminum alloy experimental material.

Stimulating the Potential of Zn Anodes to Operate in Low pH and Harsh Environments forHighly Sustainable Zn Batteries.

Compared to near-neutral electrolytes (pH=3-6), Zn||Mn batteries in acidic environments can achieve voltages up to ~2 V. However, high proton concentrations raise concerns about Zn anode stability. Current strategies for inhibiting hydrogen evolution corrosion (HEC) on the anode in Zn-based batteries mainly focus on the near-neutral electrolytes.

Reaction Pathway Regulation for Gaseous and Liquid Products of Electrocatalytic CO Reduction under Adsorbate Interactions.

Halide anion adsorption on transition metals can improve the performance of electrochemical CO reduction reaction (CORR), while the specific reaction mechanisms governing selective CORR pathways remain unclear. In this study, we reveal for the first time the distinct pathway switching between gaseous (CO) and liquid products (formate and ethanol) on the well-defined Ag-Cu nanostructures with controlled chlorination. We show that CO conversion to CO on Ag/AgCl can be tuned by adjusting the thickness of AgCl layer, achieving a high selectivity over a broad potential range in a 0.

5G-based collaborative trajectory following modeling and enhancement in connected and automated airspace environment.

In an emerging trajectory-based operation (TBO) environment within the advanced autonomous airspace, traffic operation along reference trajectories can function as trajectory-following mechanisms. However, 5G-based following dynamics still remain underexplored, limiting further utilization of lower-latency 5G technology other than data links. This limitation affects air traffic stability when encountering disturbance, preventing autonomous airspeed adjustment, and safe separation without air traffic controller interventions.

Metasurface spectrometers beyond resolution-sensitivity constraints.

Conventional spectrometer designs necessitate a compromise between their resolution and sensitivity, especially as device and detector dimensions are scaled down. Here, we report on a miniaturizable spectrometer platform where light throughput onto the detector is instead enhanced as the resolution is increased. This planar, CMOS-compatible platform is based around metasurface encoders designed to exhibit photonic bound states in the continuum, where operational range can be altered or extended simply through adjusting geometric parameters.

Lesion filling index predicts brain arteriovenous malformation obliteration after Gamma knife radiosurgery: a hemodynamic analysis.

Hemodynamics significantly influences the clinical outcomes of brain arteriovenous malformations (AVM). This study aimed to determine if the lesion filling index (LFI), obtained via quantitative digital subtraction angiography (QDSA), can predict complete complete obliteration after Gamma knife radiosurgery (GKRS). We retrospectively reviewed AVM patients who underwent GKRS and DSA exams from 2011 to 2021.

Phase Modulation Leads to Ultrahigh Energy Storage Performance in AgNbO-Based Ceramics and Multilayer Capacitors.

Antiferroelectric (AFE) ceramics are competitive energy storage candidates for advanced high-power devices. However, the poor recoverable energy density and efficiency are challenging and severely hinder their applications. Here, superior energy storage performance is obtained in Bi-, Sr-, and Ta-codoped AgNbO-based ceramics.

Real-time monitoring of bioelectrical impedance for minimizing tissue carbonization in microwave ablation of porcine liver.

The charring tissue generated by the high temperature during microwave ablation can affect the therapeutic effect, such as limiting the volume of the coagulation zone and causing rejection. This paper aimed to prevent tissue carbonization while delivering an appropriate thermal dose for effective ablations by employing a treatment protocol with real-time bioelectrical impedance monitoring. Firstly, the current field response under different microwave ablation statuses is analyzed based on finite element simulation.

Pulse Ultrasound-Based Response Enhancement of a MOX Gas Sensor.

In this work, a new method to enhance the sensing response of an ultrasonically catalyzed metal oxide gas sensor has been proposed and developed, in which pulse ultrasound is employed to enhance the redox reaction at the sensing surface. It is experimentally confirmed that with a proper pulse width, the negative effect of acoustic streaming on the ultrasonic enhancement process can be effectively suppressed. Comparing the steady responses of five target gases under the pulse and continuous ultrasound, respectively, it is found that the pulse ultrasound causes a better catalysis effect, and response enhancement (RE) by the pulse ultrasound with an optimal pulse width depends on the ultrasonic strength as well as the species and concentration of the target gas.

Gradient Nonwettability Controls Water-Film Flowing Features.

The flow of the water film on solid surface depended on the film Reynolds number and wind speed. Moreover, environmental factors had an impact on the flow process. This study explored how surface wettability impacts the stability and detachment of water film under varying conditions.

Modeling and application research of absolute gravimeter driven by a V-shaped linear ultrasonic motor.

A V-shaped linear ultrasonic motor (LUSM), used as a driving element for the absolute gravimeter, generates structural vibrations when the motor starts and stops, which interfere with and influence the accurate measurement of the absolute gravimeter. In order to address this problem and provide better stability and measurement accuracy, this paper designs a fuzzy proportional integral differential (PID) controller and realizes the drive control of the motor on a field programmable gate array (FPGA) using the Verilog hardware description language (HDL). The advantages of the proposed controller are verified by comparing the simulation results with those of the traditional PID controller.

Deep learning methods for high-resolution microscale light field image reconstruction: a survey.

Deep learning is progressively emerging as a vital tool for image reconstruction in light field microscopy. The present review provides a comprehensive examination of the latest advancements in light field image reconstruction techniques based on deep learning algorithms. First, the review briefly introduced the concept of light field and deep learning techniques.

Evaluating drivers of PM air pollution at urban scales using interpretable machine learning.

Reducing urban fine particulate matter (PM) concentrations is essential for China to achieve the Sustainable Development Goals (SDGs). Identifying the key drivers of PM will enable the development of targeted strategies to reduce PM levels. This study introduces a machine-learning model that combines CatBoost and the Tree-Structured Parzen Estimator (TPE) to analyze PM concentration across 297 cities between 2000 and 2021.

Periodic Burst Freezing in a Water-Filled Capillary Tube.

Water-filled porous structures are ubiquitous components in life sciences and engineering. At sufficiently low temperatures, the water inside the porous structures can freeze, triggering the frost heave effect and causing problems such as permafrost, frost damage, and frostbite. In this study, we report a unique pattern of frost heat release through periodic bulging and bursting at the end of a water column inside a capillary tube.

Heterogeneous Catalysis of Molecular-Like AuM(PPh) Clusters Cultivated in Mesoporous SBA-15.

It is a dream of researchers to be able to tailor the catalytic performances by adjusting heterogeneous catalysts at the atomic level. Atomically precise metal clusters provide us with the possibility to achieve this challenge. Here, we design a push-and-pull synthesis strategy coupled with TiO coating to prepare the heterogeneous catalysts denoted as TiO/AuM@SBA via cultivating atomically precise AuM(PPh) (M=Pd, Pt or Au; n=2 for Pd/Pt and 3 for Au) clusters in mesoporous molecular sieve.

Irreversible Lattice Expansion Effects in Nanoscale Indium Oxide for CO Hydrogenation Catalysis.

Thermal energy has been considered the exclusive driving force in thermochemical catalysis, yet associated lattice expansion effects have been overlooked. To shed new light on this issue, variable temperature high-resolution (scanning) transmission electron microscopy (HR-(S)TEM) and electron energy-loss spectroscopy (EELS) were employed to provide detailed information on the structural changes of an archetype nanoscale indium oxide materials and how these effects are manifest in reverse water gas shift heterogeneous catalytic reactivity. It is found that with increasing temperature and vacuum conditions, an irreversible surface lattice expansion is traced to the formation and migration of oxygen vacancies.