Spiking Variational Graph Representation Inference for Video Summarization.

With the rise of short video content, efficient video summarization techniques for extracting key information have become crucial. However, existing methods struggle to capture the global temporal dependencies and maintain the semantic coherence of video content. Additionally, these methods are also influenced by noise during multi-channel feature fusion.

Color Spike Camera Reconstruction via Long Short-Term Temporal Aggregation of Spike Signals.

With the prevalence of emerging computer vision applications, the demand for capturing dynamic scenes with high-speed motion has increased. A kind of neuromorphic sensor called spike camera shows great potential in this aspect since it generates a stream of binary spikes to describe the dynamic light intensity with a very high temporal resolution. Color spike camera (CSC) was recently invented to capture the color information of dynamic scenes via a color filter array (CFA) on the sensor.

Development of NIR-II Ratiometric Fluorescent Nanoprobe for HClO Imaging in Acute Lung Injury.

Efficient and high-contrast bioimaging of acute lung injury (ALI) is crucial for studying disease progression and enabling timely interventional treatments. However, developing bioimaging probes in the second near-infrared (NIR-II) window to assess ALI remains challenging. In particular, ratiometric NIR-II probes with self-calibration functions are rare, hindering reliable detection of information during the ALI process.

A Swiss Army Knife for Tracking by Natural Language Specification.

Tracking by natural language specification requires trackers to jointly perform grounding and tracking tasks. Existing methods either use separate models or a single shared network, failing to account for the link and diversity between tasks jointly. In this paper, we propose a novel framework that performs dynamic task switching to customize its network path routing for each task within a unified model.

Bacterial Distribution in the Glacier Borehole Meltwater on the Eastern Broknes Peninsula of the Larsemann Hills and Adjacent Lake Water, East Antarctica.

The distribution and assembly mechanisms of microorganisms in Antarctic lakes and glaciers remain poorly understood, despite their ecological significance. This study investigates the bacterial diversity and community composition in glacier borehole meltwater samples from the eastern Broknes Peninsula of the Larsemann Hills and adjacent lake water samples in East Antarctica using high-throughput 16S rRNA gene sequencing. The results show that bacterial diversity in glacier borehole meltwater increased with depth, but remained lower than in lake water.

Comparative genomics reveals the high diversity and adaptation strategies of Polaromonas from polar environments.

Background: Bacteria from the genus Polaromonas are dominant phylotypes found in a variety of low-temperature environments in polar regions. The diversity and biogeographic distribution of Polaromonas have been largely expanded on the basis of 16 S rRNA gene amplicon sequencing. However, the evolution and cold adaptation mechanisms of Polaromonas from polar regions are poorly understood at the genomic level.

Structure-Dependent Nonlinear Optical Effects in Spiral WS Nanosheets.

Spiral transition-metal dichalcogenides with broken crystal inversion symmetry and significant second-order nonlinear responses have shown great promise for further nonlinear optical applications. However, various spiral structures will be formed during their synthesis process, their second harmonic generation (SHG) varying with the layer thickness and which of them manifesting the most promising SHG response are still unresolved. Here, the layer-dependent SHG response is investigated for four representative spiral WS with different screw and twist angles, including aligned- and twisted-triangular spiral structures, aligned- and twisted-hexagonal spiral structures, respectively.

Latitude-Redundancy-Aware All-Zero Block Detection for Fast 360-Degree Video Coding.

The sphere-to-plane projection of 360-degree video introduces substantial stretched redundant data, which is discarded when reprojected to the 3D sphere for display. Consequently, encoding and transmitting such redundant data is unnecessary. Highly redundant blocks can be referred to as all-zero blocks (AZBs).

Preoperative C-reactive protein to albumin ratio may be a good prognostic marker in patients undergoing hepatectomy for hepatocellular carcinoma: a meta-analysis.

Background: Systemic inflammatory response represented by C-reactive protein to albumin ratio (CAR) was shown to be associated with long-term outcome in patients with hepatocellular carcinoma (HCC). We conducted a meta-analysis to investigate the prognostic value of preoperative CAR in patients undergoing hepatectomy for HCC.

Methods: We searched four databases (PubMed, Embase, Scopus and Cochrane Library) from inception to May 10th, 2024.

Direct training high-performance deep spiking neural networks: a review of theories and methods.

Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial neural networks (ANNs), in virtue of their high biological plausibility, rich spatial-temporal dynamics, and event-driven computation. The direct training algorithms based on the surrogate gradient method provide sufficient flexibility to design novel SNN architectures and explore the spatial-temporal dynamics of SNNs. According to previous studies, the performance of models is highly dependent on their sizes.

Giant Second Harmonic Generation in Supertwisted WS Spirals Grown in Step-Edge Particle-Induced Non-Euclidean Surfaces.

In moiré crystals resulting from the stacking of twisted two-dimensional (2D) layered materials, a subtle adjustment in the twist angle surprisingly gives rise to a wide range of correlated optical and electrical properties. Herein, we report the synthesis of supertwisted WS spirals and the observation of giant second harmonic generation (SHG) in these spirals. Supertwisted WS spirals featuring different twist angles are synthesized on a Euclidean or step-edge particle-induced non-Euclidean surface using carefully designed water-assisted chemical vapor deposition.

Spiking Tucker Fusion Transformer for Audio-Visual Zero-Shot Learning.

The spiking neural networks (SNNs) that efficiently encode temporal sequences have shown great potential in extracting audio-visual joint feature representations. However, coupling SNNs (binary spike sequences) with transformers (float-point sequences) to jointly explore the temporal-semantic information still facing challenges. In this paper, we introduce a novel Spiking Tucker Fusion Transformer (STFT) for audio-visual zero-shot learning (ZSL).

GeneWorker: An end-to-end robotic reinforcement learning approach with collaborative generator and worker networks.

Reinforcement learning aided by the skill conception exhibits potent capabilities in guiding autonomous agents toward acquiring meaningful behaviors. However, in the current landscape of reinforcement learning, a skill is often merely a rudimentary abstraction of a sequence of primitive actions, serving as a component of the input to policy networks with fixed network parameters. This rigid methodology presents obstacles when attempting to integrate with burgeoning techniques such as meta-learning and large language models.

Preparation of chitosan-hyaluronic acid microcapsules and its dynamic release behavior analysis in a 3D-printed microchannel system: Exploration and verification.

This research focuses on the challenges of efficiently constructing drug carriers and evaluating their dynamic release in vitro simulation. By using pickering emulsion and layer-by-layer self-assembly methods. The microcapsules had tea tree oil as the core material, SiO nanoparticles as stabilizers, and chitosan and hyaluronic acid as shell materials.

Learning a Deep Demosaicing Network for Spike Camera With Color Filter Array.

For capturing dynamic scenes with ultra-fast motion, neuromorphic cameras with extremely high temporal resolution have demonstrated their great capability and potential. Different from the event cameras that only record relative changes in light intensity, spike camera fires a stream of spikes according to a full-time accumulation of photons so that it can recover the texture details for both static areas and dynamic areas. Recently, color spike camera has been invented to record color information of dynamic scenes using a color filter array (CFA).

SGLFormer: Spiking Global-Local-Fusion Transformer with high performance.

Introduction: Spiking Neural Networks (SNNs), inspired by brain science, offer low energy consumption and high biological plausibility with their event-driven nature. However, the current SNNs are still suffering from insufficient performance.

Methods: Recognizing the brain's adeptness at information processing for various scenarios with complex neuronal connections within and across regions, as well as specialized neuronal architectures for specific functions, we propose a Spiking Global-Local-Fusion Transformer (SGLFormer), that significantly improves the performance of SNNs.

Identification of important gene signatures in schizophrenia through feature fusion and genetic algorithm.

Schizophrenia is a debilitating psychiatric disorder that can significantly affect a patient's quality of life and lead to permanent brain damage. Although medical research has identified certain genetic risk factors, the specific pathogenesis of the disorder remains unclear. Despite the prevalence of research employing magnetic resonance imaging, few studies have focused on the gene level and gene expression profile involving a large number of screened genes.

Mesoporous and Encapsulated InO/TiCT Schottky Heterojunctions for Rapid and ppb-Level NO Detection at Room Temperature.

Rapid and ultrasensitive detection of toxic gases at room temperature is highly desired in health protection but presents grand challenges in the sensing materials reported so far. Here, we present a gas sensor based on novel zero dimensional (0D)/two dimensional (2D) indium oxide (InO)/titanium carbide (TiCT) Schottky heterostructures with a high surface area and rich oxygen vacancies for parts per billion (ppb) level nitrogen dioxide (NO) detection at room temperature. The InO/TiCT gas sensor exhibits a fast response time (4 s), good response (193.

Synthesis of oil-soluble carbon dots via pyrolysis and their diverse applications in doxycycline detection, fluorescent ink and film.

The overuse of doxycycline poses a risk for ecological environment. Advanced materials such as anti-counterfeiting and photovoltaic materials are urgently needed to develop innovative strategies for exploiting solar cells and protecting valuable products. Herein, oil-soluble CDs (o-CDs) were successfully fabricated from citric acid, tris-base and oleylamine as precursors via pyrolysis method.

Biomimetic Hyaluronic Acid-Based Brush Polymers Modulate Chondrocyte Homeostasis via ROS/Ca/TRPV4.

Bionic mimics using natural cartilage matrix molecules can modulate the corresponding metabolic activity by improving the microenvironment of chondrocytes. A bionic brush polymer, HA/PX, has been found to reverse the loss of cartilage extracellular matrix (ECM) and has promising applications in the clinical treatment of osteoarthritis (OA). However, the unknown bioremediation mechanism of HA/PX severely hinders its clinical translation.

Ratiometric photoacoustic imaging of endogenous HNO for assessing prodrug release and liver injury.

The effective imaging of endogenous HNO is highly crucial for pathology research and medical development due to its important pharmacological activity in biological systems. Here, a ratiometric photoacoustic probe in response to HNO was rationally developed to effectively assess HNO prodrug release and liver injury .

Multiscale Attention Fusion for Depth Map Super-Resolution Generative Adversarial Networks.

Color images have long been used as an important supplementary information to guide the super-resolution of depth maps. However, how to quantitatively measure the guiding effect of color images on depth maps has always been a neglected issue. To solve this problem, inspired by the recent excellent results achieved in color image super-resolution by generative adversarial networks, we propose a depth map super-resolution framework with generative adversarial networks using multiscale attention fusion.

Detection of oxytetracycline in milk using a novel carbon dots-based fluorescence probe via facile pyrolysis synthesis.

Amphiphilic blue-fluorescence carbon dots (B-CDs) were synthesized via pyrolysis method with citric acid and oleamine as precursors. B-CDs are monodispersed in ethanol, toluene, and ultrapure water with the average particle sizes of 3.33 nm, 2.

Tree-Structured Data Clustering-Driven Neural Network for Intra Prediction in Video Coding.

Intra prediction is a crucial part of video compression, which utilizes local information in images to eliminate spatial redundancy. As the state-of-the-art video coding standard, Versatile Video Coding (H.266/VVC) employs multiple directional prediction modes in intra prediction to find the texture trend of local areas.