Copper-Catalysed Electrochemical CO2 Methanation via the Alloying of Single Cobalt Atoms.

The electrochemical reduction of carbon dioxide (CO2) to methane (CH4) presents a promising solution for mitigating CO2 emissions while producing valuable chemical feedstocks. Although single-atom catalysts have shown potential in selectively converting CO2 to CH4, their limited active sites often hinder the realization of high current densities, posing a selectivity-activity dilemma. In this study, we developed a single-atom cobalt (Co) doped copper catalyst (Co1Cu) that achieved a CH4 Faradaic efficiency exceeding 60% with a partial current density of -482.

Ultrafast Laser-Induced Spin Dynamics in All-Semiconductor Ferromagnetic CrSBr-Phosphorene Heterostructures.

Ultrashort laser pulses are extensively used for efficient manipulation of interfacial spin injection in two-dimensional van der Waals (vdW) heterostructures. However, physical processes accompanying the photoinduced spin transfer dynamics on the all-semiconductor ferromagnetic vdW heterostructure remain largely unexplored. Here, we present a computational investigation of the femtosecond laser pulse induced purely electron-mediated spin transfer dynamics at a time scale of less than 50 fs in a vdW heterostructure.

The fractional nonlinear Schrödinger equation: Soliton turbulence, modulation instability, and extreme rogue waves.

In this paper, we undertake a systematic exploration of soliton turbulent phenomena and the emergence of extreme rogue waves within the framework of the one-dimensional fractional nonlinear Schrödinger (FNLS) equation, which appears in many fields, such as nonlinear optics, Bose-Einstein condensates, plasma physics, etc. By initiating simulations with a plane wave modulated by small noise, we scrutinized the universal regimes of non-stationary turbulence through various statistical indices. Our analysis elucidates a marked increase in the probability of rogue wave occurrences as the system evolves within a certain range of Lévy index α, which can be ascribed to the broadened modulation instability bandwidth.

Interfacial Metal Oxides Stabilize Cu Oxidation States for Electrocatalytical CO2 Reduction.

Modulating the oxidation state of copper (Cu) is crucial for enhancing the electrocatalytic CO2 reduction reaction (CO2RR), particularly for facilitating deep reductions to produce methane (CH4) or multi-carbon (C2+) products. However, Cuδ+ sites are thermodynamically unstable, fluctuating their oxidation states under reaction conditions, which complicates their functionality. Incorporating interfacial metal oxides has emerged as an effective strategy for stabilizing these oxidation states.

Stabilizing Lattice Oxygen of Bi2O3 by Interstitial Insertion of Indium for Efficient Formic Acid Electrosynthesis.

Bismuth oxide (Bi2O3) emerges as a potent catalyst for converting CO2 to formic acid (HCOOH), leveraging its abundant lattice oxygen and the high activity of its Bi-O bonds. Yet, its durability is usually impeded by the loss of lattice oxygen causing structure alteration and destabilized active bonds. Herein, we report an innovative approach via the interstitial incorporation of indium (In) into the Bi2O3, significantly enhancing bond stability and preserving lattice oxygen.

Dynamically Cyclic Fe/Fe Active Sites as Electron and Proton-Feeding Centers Boosting CO Photoreduction Powered by Benzyl Alcohol Oxidation.

Solar-driven CO photoreduction holds promise for sustainable fuel and chemical productions, but the complex proton-coupled multi-electron transfer processes and sluggish oxidation half-reaction kinetics substantially hinder its efficiency. Here, we devised a rational catalyst design to address these challenges by fabricating ferrocene carboxylic acid-functionalized CsSbBr nanocrystals (CSB-Fc NCs), which facilitate simultaneous benzyl alcohol oxidation and CO reduction reactions under visible-light irradiation. The synchronized proton-coupled electron transfer processes between the reduction and oxidation half-reactions on CSB-Fc NCs resulted in a 5-fold increase in the CO reduction rate (45.

Meta-atoms: From Metamaterials to Metachips.

Electromagnetic (EM) metamaterials represent a cutting-edge field that achieves anomalously macroscopic properties through artificial design and arrangement of microstructure arrays to freely manipulate EM fields and waves in desired ways. The unit cell of a microstructure array is also called a meta-atom, which can construct effective medium parameters that do not exist in traditional materials or are difficult to realize with traditional technologies. By deep integration with digital information, the meta-atom is evolved to a digital meta-atom, leading to the emergence of information metamaterials.

Mitigating the Efficiency Deficit in Single-Crystal Perovskite Solar Cells by Precise Control of the Growth Processes.

The power conversion efficiencies (PCEs) of polycrystalline perovskite solar cells (PC-PSCs) have now reached a plateau after a decade of rapid development, leaving a distinct gap from their Shockley-Queisser limit. To continuously mitigate the PCE deficit, nonradiative carrier losses resulting from defects should be further optimized. Single-crystal perovskites are considered an ideal platform to study the efficiency limit of perovskite solar cells due to their intrinsically low defect density, as demonstrated in bulk single crystals.

A hyperspectral stealth material design method based on the composition and mixing spectral feature of desert soil.

In this study, we used desert soil from Gansu, China, as a sample to propose a method for designing hyperspectral stealth coatings against desert soil backgrounds within the spectral range of 400-2500 nm, and the corresponding coating was prepared. Firstly, the correlation between the composition and typical spectral detected characteristics of the desert soil was systematically analyzed. It was found that the color and the spectrum of the desert soil in the range of 400-1000 nm were influenced by different types of iron oxides.

[Application of Nano-drug Delivery Technology in Overcoming Drug Resistance in Lung Cancer].

Lung cancer is one of the most malignant tumor, representing a significant threat to human health. In China, its mortality rate is the highest among all malignant tumors. The occurrence of drug resistance has resulted in unfavourable prognosis for patients with lung cancer, and overcoming drug resistance is a significant challenge that needs to be addressed.

Acute skin failure knowledge, attitudes and practices amongst intensive care unit nurses in China: A multicentre cross-sectional survey.

Purpose: To investigate the knowledge, attitudes and practices of intensive care unit (ICU) nurses regarding acute skin failure (ASF) and analyse the influencing factors thereof.

Methods: From 22 December 2023 to 24 January 2024, a cross-sectional study was conducted amongst ICU nurses from 21 hospitals in eight provinces in China. The ASF knowledge, attitude and practice scores were determined using questionnaires, and multiple linear regression was used for further analysis.

Personalized theta-burst stimulation enhances social skills in young minimally verbal children with autism: a double-blind randomized controlled trial.

Background: Minimally verbal children with autism are understudied and lack effective treatment options. Personalized continuous theta-burst stimulation (cTBS) targeting the amygdala and its circuitry may be a potential therapeutic approach for this population.

Methods: In a double-blind randomized controlled trial, minimally verbal children with autism (ages 2-8 years) received 4 weeks of cTBS.

Platinum micromotors for mucosal penetration and colorectal cancer therapy.

The therapeutic outcomes of medications were restricted by the colonic mucosal barrier during the treatment of colorectal cancer (CRC). Micro/nanomotors can overcome the mucus barriers to reach deep colorectal tumors. In this study, we constructed a novel microsized PLGA-Pt micromotor (MM) driven by hydrogen peroxide (HO) to enhance drug delivery to the CRC tissues and achieve effective antitumor therapy.

Tailoring pyridine bridged chalcogen-concave molecules for defects passivation enables efficient and stable perovskite solar cells.

Suppressing deep-level defects at the perovskite bulk and surface is indispensable for reducing the non-radiative recombination losses and improving efficiency and stability of perovskite solar cells (PSCs). In this study, two Lewis bases based on chalcogen-thiophene (n-Bu4S) and selenophene (n-Bu4Se) having tetra-pyridine as bridge are developed to passivate defects in perovskite film. The uncoordinated Pb and iodine vacancy defects can interact with chalcogen-concave group and pyridine group through the formation of the Lewis acid-base adduct, particularly both the defects can be surrounded by concave molecules, resulting in effective suppression charge recombination.

WS/MHS PdTe/Si Mixed-Dimensional Heterojunction as Ultra-Broadband Photodetector for Health and Safety Monitoring.

Ultra-broadband photodetectors (UB-PDs) are essential in medical applications, public safety monitoring, and various other fields. However, developing UB-PDs covering multiple bands from ultraviolet to medium infrared remains a challenge due to material limitations. Here, a mixed-dimensional heterojunction composed of 2D WS/monodisperse hexagonal stacking (MHS) 3D PdTe particles on 3D Si is proposed, capable of detecting light from 365 to 9600 nm.

Three-Dimensional Stacked Stretchable Thermoelectric Device for Virtual Sensation.

Stretchable electronics have significant applications in wearable applications. However, the extremely low thermal conductivity of elastic encapsulation hinders heat dissipation, leading to performance degradation. For instance, stretchable thermoelectric devices (TEDs) can be used for skin temperature regulation, but poor thermal management limits their cooling performance.

Increased atherogenicity in mood disorders: a systematic review, meta-analysis and meta-regression.

Background: Major depressive disorder (MDD) and bipolar disorder (BD) often coexist with metabolic syndrome. Both are linked to increased atherogenicity and a higher risk of cardiovascular diseases. Nevertheless, a comprehensive analysis of key atherogenic biomarkers in MDD/BD is still lacking.

Association of MTHFR C677T and A1298C variants with preeclampsia risk and angiogenic imbalance in Tunisian women.

Unlabelled: Preeclampsia (PE) is a pregnancy-specific vascular disorder associated with endothelial dysfunction, hypertension, and proteinuria. The methylenetetrahydrofolate reductase (MTHFR) enzyme regulates essential cellular functions in pregnancy owing to its effects on folate metabolism and DNA methylation. Previous studies implicated the association of rs1801133 (C677T; Ala222Val) and rs1801131 (A1298C; Glu429Ala) in the MTHFR gene with PE in different ethnic groups, but with mixed outcomes.

Co-Atomic Interface Minimizing Charge Transfer Barrier in Polytypic Perovskites for CO Photoreduction.

Heterojunctions, known for their decent separation of photo-generated electrons and holes, are promising for photocatalytic CO reduction. However, a significant obstacle in traditional post-assembled heterojunctions is the high interfacial barrier for charge transfer caused by atomic lattice mismatch at multiphase interfaces. Here, as research prototypes, the study creates a lattice-matched co-atomic interface within CsPbBr-CsPbBr polytypic nanocrystals (113-125 PNs) through the proposed in situ hybrid strategy to elucidate the underlying charge transfer mechanism within this unique interface.

Residents' willingness and awareness to participate in internet+nursing service in China: A meta-analysis.

Background: The internet + nursing service is an important initiative for implementing the strategy of healthy China and actively responding to the aging of the population. However, the current literature on residents' awareness and willingness to participate is insufficient and presents large variations and limitations. Therefore, this study aims to systematically evaluate the awareness and willingness of Chinese residents to participate in internet + nursing service to comprehensively understand the level of awareness and acceptance of this emerging service model among Chinese residents and to provide strong support for relevant policy formulation and service optimization.

The histone lactylation of AIM2 influences the suppression of ferroptosis by ACSL4 through STAT5B and promotes the progression of lung cancer.

Lung cancer progression is characterized by intricate epigenetic changes that impact critical metabolic processes and cell death pathways. In this study, we investigate the role of histone lactylation at the AIM2 locus and its downstream effects on ferroptosis regulation and lung cancer progression. We utilized a combination of biochemical assays, including chromatin immunoprecipitation (ChIP), quantitative real-time PCR (qRT-PCR), and western blotting to assess histone lactylation levels and gene expression.

Controlled Multi-Dimensional Assembly of Calcium Carbonate Particles with Industrial By-Product Carbide Slag and CO.

The utilization of carbide slag, an industrial by-product, as a resource to prepare value-added products has a profound impact not only for sustainable synthesis and the circular economy but also for CO reduction. Herein, we report the very first example of the controlled multi-dimensional assembly of calcium carbonate particles at the micrometer scale with industrial by-product carbide slag and CO. Calcium carbonate particles of distinctly different sizes, shapes, and morphologies are obtained by finely tuning the assembly conditions.

Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding.

Visual semantic decoding aims to extract perceived semantic information from the visual responses of the human brain and convert it into interpretable semantic labels. Although significant progress has been made in semantic decoding across individual visual cortices, studies on the semantic decoding of the ventral and dorsal cortical visual pathways remain limited. This study proposed a graph neural network (GNN)-based semantic decoding model on a natural scene dataset (NSD) to investigate the decoding differences between the dorsal and ventral pathways in process various parts of speech, including verbs, nouns, and adjectives.

Early identification of potentially reversible cancer cachexia using explainable machine learning driven by body weight dynamics: a multicenter cohort study.

Background: Cachexia is associated with multiple adverse outcomes in cancer. However, clinical decision-making for oncology patients at the cachexia stage presents significant challenges.

Objective: This study aims to develop a machine learning (ML) model to identify potentially reversible cancer cachexia (PRCC).