Multi-Omics Profiling Unveils Antifungal Secondary Metabolites Mediating LQ's Biocontrol Efficacy Against .

is a significant phytopathogen in both pre- and postharvest stages of fruit development and storage. The development of environmentally-friendly biological control agents has attracted increasing research interest. In this study, we characterized a fungal strain ( LQ) that strongly inhibits .

Hyperspectral LiDAR saturated signal waveform recovery for ranging based on neural networks.

Hyperspectral LiDAR (HSL) is an advanced active detection system that can simultaneously acquire the three-dimensional information and spectral information of a range of targets. However, high-reflectivity targets often encounter to signal saturation, which introduces errors in both time-of-flight (ToF) ranging and hyperspectral reflectance calculation. Such saturation is a joint result of the spectrum of the supercontinuum laser source and the spectral response of the photodetector, and it causes an unbalanced detection performance of different spectral channels of the HSL.

Revealing the relationship between Cu valence and product selectivity in CO electrolysis.

Realizing the evolution of Cu valence state in the electrocatalytic CO reduction reaction (eCORR) is crucial to maintain active sites, optimize reaction conditions and product selectivity and understand reaction mechanism and kinetics. In this context, we investigated the dynamic transition of Cu(II), Cu(I) and Cu(0) under the eCORR conditions and impact of such transition on reaction intermediate species and product selectivity. In situ surface-enhanced Raman spectroscopy and attenuated total reflectance-surface-enhanced infrared absorption spectroscopy results coupled with quantitative data collected from a flow cell show that Cu (I) species contributes to CO activation, CO adsorption, and subsequent C-C coupling processes, while the initial adsorption of Cu (0) in CO playing a crucial role.

Multimodal depression recognition and analysis: Facial expression and body posture changes via emotional stimuli.

Background: Clinical studies have shown that facial expressions and body posture in depressed patients differ significantly from those of healthy individuals. Combining relevant behavioral features with artificial intelligence technology can effectively improve the efficiency of depression detection, thereby assisting doctors in early identification of patients. This study aims to develop an end-to-end multimodal recognition model combining facial expressions and body posture via deep learning techniques, enabling rapid preliminary screening of depression.

Trans-zeatin modulates shade stress adaptation in soybean through transcription associated metabolic network.

This study explores the molecular mechanisms by which trans-zeatin (tZ), a cytokinin, influences shade stress responses in shade-sensitive and shade-tolerant recombinant inbred lines (RILs) 160 and 165 of soybean (Glycine max) under varied light conditions. Using an integrative multi-omics approach combining metabolomics and transcriptomics, we elucidate the regulatory networks underlying soybean adaptation to shade stress. Using an integrative multi-omics approach that combines metabolomics and transcriptomics, we dissect the complex regulatory networks that enable soybean plants to adapt to shade stress.

Synergizing Mg Single Atoms and Ru Nanoclusters for Boosting the Ammonia Borane Hydrolysis to Produce Hydrogen.

Development of efficient catalysts with high HO molecule activation ability holds great importance for H production. Herein, enzyme-mimic Mg single atoms catalysts (SACs) coordinated by B/N-doped carbon nanotube (BNC), was constructed as a high-performance support for ruthenium (Ru) nano-clusters. Dual functions of Mg SACs were discovered, where the Mg atoms beneath Ru catalysts built an interfacial electron polarization, inducing electron transfer from Ru to the Mg-BNC support.

Micro-Structure Engineering in Pd-InO Catalysts and Mechanism Studies for CO Hydrogenation to Methanol.

Significant interest has emerged for the application of Pd-InO catalysts as high-performance catalysts for CO hydrogenation to CHOH. However, precise active site control in these catalysts and understanding their reaction mechanisms remain major challenges. In this investigation, a series of Pd-InO catalysts were synthesized, revealing three distinct types of active sites: In-O, Pd-O(H)-In, and PdIn.

Adaptive roles of cytokinins in enhancing plant resilience and yield against environmental stressors.

Innovative agricultural strategies are essential for addressing the urgent challenge of food security in light of climate change, population growth, and various environmental stressors. Cytokinins (CKs) play a pivotal role in enhancing plant resilience and productivity. These compounds, which include isoprenoid and aromatic types, are synthesized through pathways involving key enzymes such as isopentenyl transferase and cytokinin oxidase.

Pd-intercalated black phosphorus: An efficient electrocatalyst for CO reduction.

Nanoconfined catalysts enhance stabilization of reaction intermediates, facilitate electron transfer, and safeguard active centers, leading to superior electrocatalytic activity, particularly in CO reduction reactions (CORR). Despite their effectiveness, crafting nanoconfined catalysts is challenging due to unclear formation mechanisms. In this study, we introduce an electrochemical method to grow Pd clusters within the interlayers of two-dimensional black phosphorus, creating Pd cluster-intercalated black phosphorus (Pd-i-BP) as an electrocatalyst.

Less Is More: Selective-Atom-Removal-Derived Defective MnO Catalyst for Efficient Propane Oxidation.

Defect manipulation in metal oxide is of great importance in boosting catalytic performance for propane oxidation. Herein, a selective atom removal strategy was developed to construct a defective manganese oxide catalyst, which involved the partial etching of a Mg dopant in MnO. The resulting MgMnO-H catalysts exhibited superior low-temperature catalytic activity (T = 185 °C, T = 226 °C) with a propane conversion rate of 0.

Two-Dimensional Ultrathin FeSn Kagome Metal with Defect-Dependent Magnetic Property.

Two-dimensional (2D) FeSn, which is a room-temperature ferromagnetic kagome metal, has potential applications in spintronic devices. However, the systematic synthesis and magnetic study of 2D FeSn single crystals have rarely been reported. Here we have synthesized 2D hexagonal and triangular FeSn nanosheets by controlling the amount of FeCl precursors in the chemical vapor deposition (CVD) method.

Automatic recognition of depression based on audio and video: A review.

Depression is a common mental health disorder. With current depression detection methods, specialized physicians often engage in conversations and physiological examinations based on standardized scales as auxiliary measures for depression assessment. Non-biological markers-typically classified as verbal or non-verbal and deemed crucial evaluation criteria for depression-have not been effectively utilized.

Engineering a hollow bowl-like porous carbon-confined Ru-MgO hetero-structured nanopair as a high-performance catalyst for ammonia borane hydrolysis.

Exploration of high-performance catalysts holds great importance for on-demand H production from ammonia borane (AB) hydrolysis. In this work, a hollow bowl-like porous carbon-anchored Ru-MgO hetero-structured nano-pair with high-intensity interfaces is made, using a tailored design approach. Consequently, the optimized catalyst shows AB hydrolysis activity with a turnover frequency value of 784 min in aqueous media and 1971 min in alkaline solvent.

TSFFM: Depression detection based on latent association of facial and body expressions.

Depression is a prevalent mental disorder worldwide. Early screening and treatment are crucial in preventing the progression of the illness. Existing emotion-based depression recognition methods primarily rely on facial expressions, while body expressions as a means of emotional expression have been overlooked.

SFTNet: A microexpression-based method for depression detection.

Background And Objectives: Depression is a typical mental illness, and early screening can effectively prevent exacerbation of the condition. Many studies have found that the expressions of depressed patients are different from those of other subjects, and microexpressions have been used in the clinical detection of mental illness. However, there are few methods for the automatic detection of depression based on microexpressions.

Activation of Co-O bond in (110) facet exposed CoO by Cu doping for the boost of propane catalytic oxidation.

Defects engineering in metal oxide is an important avenue for the promotion of VOCs catalytic oxidation. Herein, the influence of crystal facet of CoO is first investigated for the propane oxidation. An intelligent Cu doping is subsequently performed in the most active (110) facet exposed CoO catalyst.

Nitrogen and Sulfur Co-Doped Hierarchically Porous Carbon Nanotubes for Fast Potassium Ion Storage.

Exploration of advanced carbon anode material is the key to circumventing the sluggish kinetics and poor rate capability for potassium ion storage. Herein, a synergistic synthetic strategy of engineering both surface and structure is adopted to design N, S co-doped carbon nanotubes (NS-CNTs). The as-designed NS-CNTs exhibit unique features of defective carbon surface, hollow tubular channel, and enlarged interlayer space.

Conjugated polymer coating enabled light-resistant black phosphorus with enhanced stability.

As an advanced two-dimensional (2D) material with unique properties, black phosphorus (BP) has attracted great attention in a variety of fields. One of the main obstacles for the practical application of BP is the poor ambient stability of few-layer BP, especially under light irradiation. In this study, a light-absorbing conjugated polymer is functionalized on the surface of BP during the exfoliation process, yielding BP nanosheets with light-resistance.

Deciphering the active origin for urea oxidation reaction over nitrogen penetrated nickel nanoparticles embedded in carbon nanotubes.

Urea electrooxidation with favorable thermodynamic potential is highly anticipated but suffering from sluggish kinetics. Deciphering the activity origin and achieving rational structure design are pivotal for developing highly efficient electrocatalyst for urea oxidation reaction (UOR). Herein, nitrogen penetrated nickel nanoparticles confined in carbon nanotubes (Ni-NCNT) is successfully achieved to drive UOR.

Designing anisotropic inorganic nanocapsules self-assembly of polymer-like ultrathin Au nanowires.

Anisotropic assembly of nanomaterials into hollow structures is an attractive technique in biomedicine and biosensing. Commonly used polymer materials are easy to assemble yet it is hard to form anisotropic morphologies. Here in this work, we successfully prepared a novel gold nanocapsule with an anisotropic ellipsoidal shape and cavity structure by the self-assembly of ultrathin Au nanowires.

A Small Multihost Plasmid Carrying (T) Identified in .

The aim of this study was to determine the mobile genetic elements involved in the horizontal transfer of (T) in , and its transmission ability in heterologous hosts. A total of 159 erythromycin-resistant enterococci isolates were screened for the presence of macrolide resistance genes by PCR. Whole genome sequencing for (T)-carrying E165 was performed.

Moisture- and mould-proof characteristics of surface modified wood for musical instrument soundboards.

Wood is the main material used for musical instrument soundboard fabrication, for practical and cultural reasons. As a natural material, however, wood is easily degraded due to moisture or fungal corrosion. Most traditional wood protection methods were devised for structural materials, and may thus not be suitable for application in musical instrument soundboard materials.

Interfacial Covalent Bonding Endowing Ti C -Sb S Composites High Sodium Storage Performance.

Antimony sulfide is attracting enormous attention due to its remarkable theoretical capacity as anode for sodium-ion batteries (SIBs). However, it still suffers from poor structural stability and sluggish reaction kinetics. Constructing covalent chemical linkage to anchor antimony sulfide on two-dimension conductive materials is an effective strategy to conquer the challenges.

Theoretical model of membrane acoustic absorber with compact magnet.

The membrane sound absorber (MSA) with a compact magnet has exhibited excellent tunable properties for low-frequency sound absorption. To further clarify its acoustic properties, this paper presents a theoretical model based on a multi-mechanism coupling impedance method. The model predicts the absorption coefficients and resonant frequencies of the MSA at different tuning magnetic states for three cavity configurations.