Construction of an Ag-functionalized structural color hydrogel sensor for colorimetric detection of glutathione.

An Ag-functionalized structural color hydrogel (Ag-SCH) sensor is constructed for colorimetric detection of glutathione (GSH). The hydrogel is prepared by using the coordination of Ag and 1-vinylimidazole (1-VI) as cross-linking network. GSH acts as a competitive ligand to break the coordination between Ag and 1-VI, leading to the expansion and structural color change of the hydrogel.

Long sequence temporal knowledge tracing for student performance prediction via integrating LSTM and informer.

Knowledge tracing can reveal students' level of knowledge in relation to their learning performance. Recently, plenty of machine learning algorithms have been proposed to exploit to implement knowledge tracing and have achieved promising outcomes. However, most of the previous approaches were unable to cope with long sequence time-series prediction, which is more valuable than short sequence prediction that is extensively utilized in current knowledge-tracing studies.

Synergistic effect of oxalic acid and siderophore on uranium fractions and microbial community traits in rhizosphere soil enhances uranium accumulation in plant roots.

Chelating agent contributes to the remediation of heavy metal contaminations, but it remains unclear how they affect the transformation of radioactive pollutants and microbial traits in phytoremediation. We comprehensively investigated on the uranium (U) speciation and microbial communities in the rhizosphere of Macleaya cordata, Paspalum scrobiculatum and Bamboo willow, and analyzed the accumulation of U in the three plants after the addition of chelating agents including 0.1 mmol kg siderophore (DFO) and 2.

Event-driven architecture and intelligent decision tree facilitated sustainable trade activity monitoring model design.

This paper introduces a groundbreaking monitoring model tailored for sustainable trade activity surveillance, which synergistically integrates event-driven architecture with an intelligent decision tree. Confronting the constraints of conventional trade monitoring approaches that falter in adapting to the intricate and ever-changing market landscape, our model innovatively establishes an efficient, adaptable, and sustainable monitoring framework. By embedding an intelligent decision tree, it enables dynamic resource allocation, thereby optimizing operational efficacy.

Decoding the spatial pattern of PM pollution from the perspective of socioeconomic factors and regional connectivity.

Research on the spatial pattern of PM pollution has achieved progress recently, but there are still shortcomings in the effects of macro socioeconomic factors and regional connectivity of PM emissions. To address these issues, our study followed an analytical framework integrating empirical orthogonal function, Morlet wavelet analysis, time series decomposition, back propagation neural network, geographical detector and social network analysis. This framework was applied to a dataset embodying PM, meteorology and socioeconomics over seven years (2015-2021) across 279 cities of mainland China.

Bromide-Catalyzed Radical Cyclization of Biarylboronic Acids and Se/Te Powder.

Herein, a metal-free and versatile strategy was successfully reported for the divergent synthesis of various functionalized dibenzo[,]selenophenes, dibenzo[,]tellurophenes, and phenoxaselenines in moderate to excellent yields in one-pot. This method utilized commercially available, cheap, and sustainable ammonium bromide as the catalyst to promote the radical cyclization of biarylboronic acids with elemental Se/Te. Comparatively, this method was highlighted by its readily available starting material, broad substrate scope, simple catalytic system, easy operation, good safety, being strongly oxidant-free, and easily scalable.

Research on the Poisson's Ratio of Black Phosphorene Nanotubes Under Axial Tension.

In this paper, the Poisson's ratio of black phosphorene nanotubes was examined through the molecular dynamics simulation method. Our research discovered that for the armchair black phosphorene nanotubes, the radial strain and the wall thickness strain are negatively linearly correlated with the axial strain, and both the radial Poisson's ratio and the thickness Poisson's ratio are positive. For the zigzag black phosphorene nanotubes, the wall thickness strain is negatively, linearly correlated with the axial strain, while the radial strain has a cubic polynomial function relationship with the axial strain.

Atomistic Insights into Fluorinated/Chlorinated Ether-Based LHCEs on Lithium Metal: Decomposition Mechanisms via Multiscale Simulations.

The interfacial stability of localized high-concentration electrolytes (LHCEs) with fluorinated (F2DEE) or chlorinated (Cl2DEE) ether solvents critically controls lithium metal battery performance. However, atomistic mechanisms driving their solid electrolyte interphase (SEI) formation remain unclear. We systematically compare the decomposition pathways of 1LiFSI-1.

Contribution and composition of extracellular polymeric substances in cadmium removal by two types of biological crusts.

The enrichment efficiency of cadmium (Cd) in biological crusts formed under different environmental conditions varies significantly. However, although extracellular polymeric substances (EPS) are key components in heavy metal removal, the mechanisms by which their content and composition influence the Cd removal capacity of different types of biological crusts remain unclear. Our study revealed distinct differences in EPS composition between mine crusts (MC) and paddy crusts (PC).

A two-stage multi-scale attention-based network for weakly supervised cataract fundus image enhancement.

Cataract is a major cause of vision loss and hinders further diagnosis. However, enhancing cataract fundus images remains challenging due to limited paired cataract retinal images and the difficulty of recovering fine details in the retinal images. To mitigate these challenges, we in this paper propose a two-stage multi-scale attention-based network (TSMSA-Net) for weakly supervised cataract fundus image enhancement.

Unusual Temperature-Dependent Thermal Conductivity in Monolayer NCCN: Role of Phonon Hydrodynamics.

Seeking high-thermal-conductivity materials is a route to enhancing the efficiency of heat dissipation in Ga-based high-power-density devices. In this work, we use first-principles calculations with the Boltzmann transport equation to predict the thermal conductivity of nitrogen-substituted diamane (NCCN). It is found that the thermal conductivity (κ) of NCCN is as high as 1800 W/mK at room temperature, which is 13.

Research on cognitive reliability model considering crew influence in main control room of digital nuclear power plant.

Nowadays, human-system interaction way is gradually converted into digital way in large industry system. When an operator faces the change, cognitive process and reliability are also bound to change. For the situation, this paper proposed a Bayesian networks cognitive reliability model considering crew influence on human reliability.

LDA-SCGB: inferring lncRNA-disease associations based on condensed gradient boosting.

Background: Long non-coding RNAs (lncRNAs) play essential roles in various physiological and pathological processes. Inferring new lncRNA-disease associations (LDAs) not only promotes us to better understand these complex biological processes, but also provides new options for the diagnosis and prevention of diseases.

Results: A novel computational model, LDA-SCGB, is proposed to predict new LDAs.

Novel quantitative method of reactive losses of ambient VOCs coupling chemical transport model simulation with receptor measurement.

Traditional photochemical age-based parameterization method (PAPM) exhibits substantial uncertainties in accurately quantifying the reactive losses of ambient volatile organic compounds (VOCs). PAPM primarily accounts for chemical reactions with hydroxyl radicals (•OH) and encounters inherent challenges in reliably estimating the photochemical age of VOCs. Thus, a novel quantitative method was developed for estimating VOC reactive losses by coupling chemical transport model (CTM) simulation with field measurement.

Process-Structure Co-Optimization of Glass Fiber-Reinforced Polymer Automotive Front-End Module.

For automotive GFRP structural components, beyond structural design, the warpage, residual stress/strain, and fiber orientation inevitably induced during the injection molding process significantly compromise their service performance. These factors also diminish the reliability of performance assessments. Thus, it is imperative to develop a process-structure co-optimization approach for GFRP components.

Binding Properties of Methyltrimethoxysilane-Modified Silica Sol Particle Surfaces and Their Molecular Dynamics Simulations.

The surface bonding of silica sol particles modified by methyltrimethoxysilane (MTMS) at different temperatures was investigated. Following modification, MTMS hydrolysis products react with silica hydroxyl groups on the surface of silica particles to create a -Si-O-Si-network structure. Additionally, the hydrolysis products formed hydrogen bonds with the silica hydroxyl groups in the silica sol, which strengthened the bonding strength between the silica particles in a synergistic manner.

Adsorption and Separation Mechanism of Methanol-Toluene Azeotropes on Porous Carbon Materials: Insights from Theoretical and Experimental Studies.

Currently, research on the adsorption of methanol and toluene by carbon-based materials has mainly focused on the adsorption performance of a single compound. However, there has been minimal investigation into the adsorption and separation of toluene and methanol azeotropes, and their potential mechanisms are still unclear. In this work, theoretical calculations were employed to investigate the effect of oxygen-containing functional groups and the pore size distribution of porous carbon on the adsorption and separation of methanol and toluene.

Pre-strain and release in MOF catalysts: Ligand-engineered strain storage for enhanced catalytic activity.

The strategic exploitation of structural tension effects in heterogeneous catalyst design remains underexplored, particularly in programmable frameworks. Here, we engineer a bipyridyl-based metal-organic framework (MOF) platform (-CH, H, -CF) anchoring Cu(OTf)₂ for regioselective ring-opening of epoxides, demonstrating how programmable ligand geometry controls catalysis via strain effects. Both CH- and CF-modified MOFs show significantly enhanced catalytic activity, achieving turnover frequencies 3.

Radon Adsorption Performance of Metal-Loaded Bamboo Activated Carbons with Different Pore Structures.

Radon (Rn) is a radioactive inert gas, a major source of natural radiation exposure to humans, and a leading cause of lung cancer in nonsmokers. In this study, a method combining micropores and metal sites was employed. Bamboo activated carbon, modified with alkali treatment to create different pore structures, was selected as the carrier, onto which silver and nickel metals were loaded.

A Short Reference Differential Chaos Shift Keying Cooperative Communication System Based on Modified Code Index Modulation.

In this paper, a new short reference differential chaos shift keying (SR-DCSK) cooperative communication system based on modified code index modulation, referred to as the MCIM-SR-DCSK-CC system, is proposed. In the proposed MCIM-SR-DCSK-CC system, the information bits are transmitted to both the relay and the destination in the first time slot. On the other hand, in the second time slot, the relay not only forwards the information bits but also sends new information bits to the destination.

A SiN-modified cellulose/glass fiber hybrid separator inhibiting zinc dendrites and cathode dissolution for aqueous zinc-ion batteries.

A sandwich-structured separator with SiN-modified cellulose nanofiber layers on glass fiber is designed. The modified separator inhibits zinc dendrites through the zincophilicity of SiN and cathode dissolution through weak interactions with VO. Benefiting from this dual-functional design, the full cells exhibit excellent electrochemical performance at low current densities.

Hot Compression Behavior and Processing Maps of 6063 Aluminum Alloy Under Medium Strain Rate.

A hot compression test was conducted across a range of temperatures (350, 400, 450, and 500 °C) and varying strain rates (0.001-10 s) to explore the hot compression behavior of the 6063 alloy. Hot processing maps were obtained based on the stress-strain curves.

Decoding PM oxidative potential in Ningbo, China: Key chemicals, sources, and health risks via dual-assay and machine learning.

PM oxidative potential (OP), a key driver of health risks, was investigated in Ningbo, China, using dual dithiothreitol (DTT) and ascorbic acid (AA) assays combined with machine learning (ML). This approach accounts for the complexity of interactions among key chemical drivers and accurately identifies chemical species and PM sources associated with OP - a critical gap in prior studies relying solely on correlation analysis and linear regression. Year-long PM samples revealed higher nighttime and summer OP (volume-based OP-DTTv and OP-AAv), linked to aerosol acidity and photochemical aging.

The immediate and delayed effects of group activities on Chinese college students' empathy: a longitudinal tracking study.

Although the role of empathy in reducing campus bullying has been receiving increasing attention, empirical research on the development of empathy and its delayed effects among college students is lacking. To examine the immediate and delayed effects of group activities on increases in empathy among college students, this study randomly assigned 90 first-year students from a Chinese university into control, intervention, and delayed intervention groups. The groups with interventions participated in multiple sessions of counselling activities, and the Interpersonal Reactivity Index-C scale was used as a pre-test, post-test, and re-test measure to assess empathy levels in each group.