A Kinetically Stabilized Dianthraceno[2,3-a:3',2'-h]-s-Indacene: Stable Kekulé Diradical Polycyclic Hydrocarbon with Triplet Ground State.

High-spin polycyclic hydrocarbons (PHs) hold significant potential in organic spintronics and organic magnets. However, their synthesis is very challenging due to their extremely high reactivity. Herein, we report the successful synthesis and isolation of a kinetically blocked derivative (1) of dianthraceno[2,3-a : 3',2'-h]-s-indacene, which represents a rare persistent triplet diradical of a Kekulé PH.

Designing Multi-functional Separators With Regulated Ion Flux and Selectivity for Macrobian Zinc Ion Batteries.

The success of achieving scale-up deployment of zinc ion batteries is to selectively regulate the rapid and dendrite-free growth of zinc anodes. Herein, this is proposed that a creative design strategy of constructing multi-functional separators (MFS) to stabilize the zinc anodes. By in situ decorating metal-organic-framework coating on commercial glass fiber, the upgraded separator is of remarkable benefit for strong anion (SO ) anchoring, uniform ion flux across the interface, and boosted Zn desolvation.

The role of Internet of Things (IoT) technology in modern cultivation for the implementation of greenhouses.

In recent years, the Internet of Things (IoT) has become one of the most familiar names creating a benchmark and scaling new heights. IoT an indeed future of the communication that has transformed the objects (things) of the real world into smarter devices. With the advent of IoT technology, this decade is witnessing a transformation from traditional agriculture approaches to the most advanced ones.

Green preparation of nitrogen vacancies enriched g-CN for efficient photocatalytic reduction of CO and Cr(VI).

Introducing vacancies has emerged as one of the valid strategies to modulate the photocatalytic performance of graphitic carbon nitride (g-CN). Introduction of nitrogen vacancies into g-CN can create defect energy levels and trap electrons, consequently accelerating the separation of e/h pairs and effectively boosting photocatalytic activity. Nitrogen vacancies can also serve as adsorption active sites, enhancing the adsorption capacity of the catalyst towards the target molecule (CO).

A review of convolutional neural network based methods for medical image classification.

This study systematically reviews CNN-based medical image classification methods. We surveyed 149 of the latest and most important papers published to date and conducted an in-depth analysis of the methods used therein. Based on the selected literature, we organized this review systematically.

Spatiotemporal prediction of alpine wetlands under multi-climate scenarios in the west of Sichuan, China.

Background: The alpine wetlands in western Sichuan are distributed along the eastern section of the Qinghai-Tibet Plateau (QTP), where the ecological environment is fragile and highly sensitive to global climate change. These wetlands are already experiencing severe ecological and environmental issues, such as drought, retrogressive succession, and desertification. However, due to the limitations of computational models, previous studies have been unable to adequately understand the spatiotemporal change trends of these alpine wetlands.

Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning.

Current vision-inspired spiking neural networks (SNNs) face key challenges due to their model structures typically focusing on single mechanisms and neglecting the integration of multiple biological features. These limitations, coupled with limited synaptic plasticity, hinder their ability to implement biologically realistic visual processing. To address these issues, we propose Spike-VisNet, a novel retina-inspired framework designed to enhance visual recognition capabilities.

CrackNet: A Hybrid Model for Crack Segmentation with Dynamic Loss Function.

Cracks are a common form of damage in infrastructure, posing significant risks to both personal safety and property. Along with the development of deep learning, visual-based crack automatic detection has been widely studied. However, this task is still challenging due to complex crack topology, noisy backgrounds, unbalanced categories, etc.

Structural and Functional Insights into Dishevelled-Mediated Wnt Signaling.

Dishevelled (DVL) proteins precisely control Wnt signaling pathways with many effectors. While substantial research has advanced our understanding of DVL's role in Wnt pathways, key questions regarding its regulatory mechanisms and interactions remain unresolved. Herein, we present the recent advances and perspectives on how DVL regulates signaling.

Aberrant intra-network resting-state functional connectivity in chronic insomnia with or without cognitive impairment.

Chronic insomnia (CI) is a common sleep disorder in middle-aged and elderly individuals. Long-term sleep deprivation can lead to physical, mental, and cognitive damage. Resting-state networks (RSNs) in the brain are closely linked to cognition and behavior.

Metal-free photocatalysts with charge-transfer excited states enable visible light-driven atom transfer radical polymerization.

Metal-free donor-acceptor photocatalysts enable efficient O-ATRP under visible light, allowing for precise control over polymer molecular weight with low dispersity. These photocatalysts achieve sufficient reductive potential to drive the reaction in their charge-transfer (CT) excited state. The reported efficient photocatalytic O-ATRP has significant potential in scalable polymer synthesis and photolithography.

Effect of ultrasonic assisted EDM based on horizontal vibration on deep and small hole machining.

With the development of science and technology, industrial production requires more and more precise parts processing, precision processing has become a trend. In this trend. The traditional processing methods have been difficult to meet the market demand for micro-hole parts.

Selective monodeuteration enabled by bisphosphonium catalyzed ring opening processes.

The selective incorporation of a deuterium atom into small molecules with high selectivity is highly valuable for medical and chemical research. Unfortunately, this remains challenging due to the complete deuteration caused by commonly used hydrogen isotope exchange strategies. We report the development of a photocatalytic selective monodeuteration protocol utilizing C-C bond as the unconventional functional handle.

Noisy Dueling Double Deep Q-Network algorithm for autonomous underwater vehicle path planning.

How to improve the success rate of autonomous underwater vehicle (AUV) path planning and reduce travel time as much as possible is a very challenging and crucial problem in the practical applications of AUV in the complex ocean current environment. Traditional reinforcement learning algorithms lack exploration of the environment, and the strategies learned by the agent may not generalize well to other different environments. To address these challenges, we propose a novel AUV path planning algorithm named the Noisy Dueling Double Deep Q-Network (ND3QN) algorithm by modifying the reward function and introducing a noisy network, which generalizes the traditional D3QN algorithm.

A novel colorimetric and fluorometric dual-signal identification of crude baijiu based on La-CDs.

The correct classification of strong-flavored crude baijiu affects its quality and overall standard and is crucial for the intelligent development of the baijiu industry. In this work, we developed a novel optical sensing array using lanthanum-doped carbon dots (La-CDs). Using La-CDs with three metal complex dyes-chromium black T, alizarin red, and dimethylphenol orange-we were able to detect organic acids and tannic acid (TA) in crude baijiu in a way that was both colorimetric and fluorescent for the first time.

A Biometric Identification for Multi-Modal Biomedical Signals in Geriatric Care.

With the acceleration of global population aging, the elderly have an increasing demand for home care and nursing institutions, and the significance of health prevention and management of the elderly has become increasingly prominent. In this context, we propose a biometric recognition method for multi-modal biomedical signals. This article focuses on three key signals that can be picked up by wearable devices: ECG, PPG, and breath (RESP).

Eco-friendly flame retardant comprising chitosan-based effectively enhances the flame retardancy of wood with low weight percent gain.

Nowadays, there are many types of flame retardants, whether halogenated or halogen-free, that can improve the flame retardancy of wood. However, they continue to pose a significant threat to our environment and cause a substantial increase in the weight gain rates after treatment. It is highly desirable yet challenging to develop an eco-friendly and efficient flame retardant with low weight gain rates.

Genome-Wide Identification of COMT Gene Family in Maize and its Function in Response to Light.

Maize is a major crop, feed, and industrial material. Caffeic acid-O-methyltransferase (COMT) is a methylase closely associated with lignin biosynthesis and plant growth and resistance. In this study, we identified the COMT gene (ZmCOMT) family in maize and further analyzed its phylogenetic evolution, subcellular localization, and its function in response to light.

Generation and Clearance of Superoxide Radicals at Buried Interfaces of Perovskites with Different Crystal Structures.

One of the most notorious issues with classic perovskite (MAPbI) is its rapid degradation caused by generating superoxide radicals (O ) on its surface under light and oxygen environments (light/O). The differences in O generation rate and tolerance to O among perovskite with different structures are pending. For the first time it is validated through solid-electron paramagnetic resonance (EPR) that MAPbI and CsFAMAPbI (PVSK) crystals can generate O in an air atmosphere.