Nickel-Catalyzed Adaptive Migration-Enabled Asymmetric Cross-Hydrocarbonylation of Unactivated Alkenes.

Transition-metal-catalyzed regio- and enantioselective cross-coupling of alkyl metallic species has emerged as a cornerstone in modern organic synthesis, which enables the construction of carbon-carbon and carbon-heteroatom bonds with high precision to facilitate rapid access to important organic targets with molecular complexity. However, the selective formation and utilization of different alkyl metallic intermediates from one precursor under identical conditions remain unknown and challenging. Herein, a Ni-catalyzed adaptive migratory asymmetric cross-hydroacylation of unactivated alkenes for the synthesis of enantioenriched α-arylated ketones has been developed.

Rapid assembly of enantioenriched α-arylated ketones via Ni-catalyzed asymmetric cross-hydrocarbonylation enabled by alkene sorting.

Enantioenriched α-arylated dialkyl ketones with acidic proton are ubiquitous subunits in valuable target organic molecules and serve as versatile synthetic precursors for other value-added chiral blocks. Herein, a distinct synthetic strategy of enantioenriched α-arylated dialkyl ketones enabled by nickel-catalyzed iterative cross-hydrocarbonylation of two alkenes has been developed, representing a reaction mode for the direct synthesis of asymmetric α-arylated dialkyl ketones. One aliphatic alkene and one styrene are creatively used as surrogates of two different alkyl precursors.

DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials.

In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for molecular dynamics (MD) simulations and related applications. These packages, typically built on specific machine learning frameworks, such as TensorFlow, PyTorch, or JAX, face integration challenges when advanced applications demand communication across different frameworks. The previous TensorFlow-based implementation of the DeePMD-kit exemplified these limitations.

Early-onset neonatal sepsis in a Chinese maternal and child healthcare centre, 2017-2023.

Objective: Early-onset sepsis (EOS) remains an important issue in neonatal units. Characteristics of EOS from China have not been fully revealed yet. Our aim is to investigate epidemiology, microbiology and clinical feature of EOS in a Chinese maternal and child healthcare centre.

Utilizing Large language models to select literature for meta-analysis shows workload reduction while maintaining a similar recall level as manual curation.

Background: Large language models (LLMs) like ChatGPT showed great potential in aiding medical research. A heavy workload in filtering records is needed during the research process of evidence-based medicine, especially meta-analysis. However, few studies tried to use LLMs to help screen records in meta-analysis.

Nonlinear association between serum 25-hydroxyvitamin D concentrations and lung function in the United States adult population with COPD.

Vitamin D has been studied for its potential protective effects against lung function decline in patients with COPD. However, conflicting results exist, the actual effect of vitamin D on lung function remains controversial. This study aimed to determine whether serum 25-hydroxyvitamin D (25-OHD) levels are correlated with lung function in community-dwelling individuals with COPD.

Leaf Vein-Inspired Programmable Superstructure Liquid Metal Photothermal Actuator for Soft Robots.

Asymmetric-expansion photothermal actuators have attracted the attention of researchers owing to their simple structure, superior stability, rapid response, and precise controllability. However, their response speed, deformation capacity, and load-carrying capacity are mutually constrained by their thickness. Inspired by the veins and pulp in plant leaves, this study uses laser etching to apply a superstructure of ordered grooves to liquid metal (LM) photothermal actuators.

Reconstructive endovascular treatment of patients with ruptured distal intracranial aneurysms in posterior circulation: a retrospective cohort study.

Background: Cases of ruptured distal intracranial aneurysms (DIAs) in the posterior circulation are rare. Currently, the most commonly used approach in clinical practice to treat this condition is reconstructive endovascular treatment. However, research on endovascular treatment of intracranial posterior circulation ruptured DIAs is currently lacking.

Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment.

Deep incomplete multi-view clustering (DIMVC) aims to enhance clustering performance by capturing consistent information from incomplete multiple views using deep models. Most existing DIMVC methods typically employ imputation-based strategies to handle missing views before clustering. However, they often assume complete data availability across all views, overlook potential low-quality views, and perform imputation at a single data level, leading to challenges in accurately inferring missing data.

Interpreting hourly mass concentrations of PM chemical components with an optimal deep-learning model.

PM constitutes a complex and diverse mixture that significantly impacts the environment, human health, and climate change. However, existing observation and numerical simulation techniques have limitations, such as a lack of data, high acquisition costs, and multiple uncertainties. These limitations hinder the acquisition of comprehensive information on PM chemical composition and effectively implement refined air pollution protection and control strategies.

Association of MTHFR C677T, MTHFRA1298C, and MTRRA66G Gene Polymorphisms with Hyperhomocysteinemia and Its Modulation by the Combined Effect of Vitamin B12 and Folate in Chinese Population with Hypertension.

Background: In China, the MTHFR 677T allele, unlike in most Western populations, is a rare genetic variant linked to various disorders. The contributing nutritional and genetic factors to this genetic risk remain unclear.

Objective: This study aimed to elucidate the interactions between genetic variations in total homocysteine (tHcy) pathway genes, serum tHcy concentrations, and nutritional factors in a Chinese population with hypertension.

Association between dietary behavior and puberty in girls.

Introduction: Over the decades the trends of early onset of puberty have been observed in children, particularly in girls. Research evidence has reported diet to be among the most important risk factors for puberty onset. This study evaluated the association between dietary behavior and puberty in girls.

High-Loading Smart Carrier Containing 2-Mercaptobenzimidazole-Zn-Polydopamine with pH-Responsive Function to Fabricate High-Performance Waterborne Epoxy Anticorrosion Coatings.

Corrosion inhibitor additives are considered to be one of the effective methods to slow down the corrosion of metals, but the corrosion inhibitors will decompose and lose their effect in a long-term corrosive environment. In this work, a smart corrosion inhibitor carrier 2-mercaptobenzimidazole-Zn-polydopamine@graphite (MZPG) with excellent pH response was designed and synthesized using a one-pot method. This corrosion inhibitor carrier not only has a very high 2-mercaptobenzimidazole (MBI) loading capacity (38.

Attention-based 3D convolutional recurrent neural network model for multimodal emotion recognition.

Introduction: Multimodal emotion recognition has become a hot topic in human-computer interaction and intelligent healthcare fields. However, combining information from different human different modalities for emotion computation is still challenging.

Methods: In this paper, we propose a three-dimensional convolutional recurrent neural network model (referred to as 3FACRNN network) based on multimodal fusion and attention mechanism.

DPA-2: a large atomic model as a multi-task learner.

The rapid advancements in artificial intelligence (AI) are catalyzing transformative changes in atomic modeling, simulation, and design. AI-driven potential energy models have demonstrated the capability to conduct large-scale, long-duration simulations with the accuracy of electronic structure methods. However, the model generation process remains a bottleneck for large-scale applications.

Assessing the impact of architectural and behavioral interventions for controlling indoor COVID-19 infection risk: An agent-based approach.

The COVID-19 pandemic changed our lives, forcing us to reconsider our built environment. In some buildings with high traffic flow, infected individuals release viral particles during movement. The complex interactions between humans, building, and viruses make it difficult to predict indoor infection risk by traditional computational fluid dynamics methods.

Self-healing liquid metal hydrogel for human-computer interaction and infrared camouflage.

Due to their mechanical flexibility, conductive hydrogels have been widely investigated in the fields of flexible electronics and soft robots, but their non-negligible disadvantages, such as poor toughness and limited self-healing, severally restrict their practical application. Herein, gallium indium alloy (EGaIn) is utilized to initiate the polymerization and simultaneously serve as flexible fillers to construct a super-stretchable and self-healing liquid metal/polyvinyl alcohol/(acrylamide--octadecyl methacrylate) (liquid metal/PVA/P(AAm--SMA)) double network hydrogel (LM hydrogel). The synergistic effect of the rigid PVA microcrystal network and the ductile P(AAm--SMA) hydrophobic network, together with the ionic coordination and hydrogen bonds between polymer networks (multiple physical cross-links), endow the LM hydrogel with excellent super-stretchability (2000%), toughness (3.

Green finance network evolution and prediction: fresh evidence from China.

Green finance has become an important reform force to promote the sustainable development of China's economy. Therefore, it has a great significance for in-depth analysis of the advantages and disadvantages of regional green finance development, to further promote it by clarifying and predicting the regional differences and dynamic evolution trends. Based on this, this paper will select the relevant index from 2001 to 2020 to construct China Green Finance Core Network (CGFCN) in different years by using Space-L method at the first, then analyze its network characteristics and spatial evolution pattern in depth, and finally predict the future development trend of CGFCN by link prediction.

Ribosome footprint profiling enables elucidating the systemic regulation of fatty acid accumulation in Acer truncatum.

Background: The accumulation of fatty acids in plants covers a wide range of functions in plant physiology and thereby affects adaptations and characteristics of species. As the famous woody oilseed crop, Acer truncatum accumulates unsaturated fatty acids and could serve as the model to understand the regulation and trait formation in oil-accumulation crops. Here, we performed Ribosome footprint profiling combing with a multi-omics strategy towards vital time points during seed development, and finally constructed systematic profiling from transcription to proteomes.

Nickel-Catalyzed, Enantioselective Hydrofluoromethylation of Olefins: Access to Chiral α-Fluoromethylated Amides and Esters.

We herein report the nickel-catalyzed enantioselective hydrofluoromethylation of enamides and enol esters with CHFI as the fluoromethyl source to enable the diversity-oriented synthesis (DOS) of chiral α-fluoromethylated amides as well as esters with features of wide functional group compatibility as well as excellent enantioselectivity. The synthetic value of this protocol was demonstrated by transformations of the resulted α-fluoromethylated amides to different scaffolds including amine, oxazoline, thiazoline, and α-fluoromethylated tetrahydroquinoline.

Coupling coordination and influencing factors of urban spatial accessibility and economic spatial pattern in the New Western Land-Sea Corridor.

The construction of the New Western Land-Sea Corridor is crucial to the economic development of western China and even Southeast Asia. Research analyzes the evolution of urban economic spatial pattern of the New Western Land-Sea Corridor in different years and discusses the coordinated development between economic connection and accessibility and its influencing factors. The research results show that: First, the influence of labor force on the urban centrality of the New Western Land-Sea Corridor is gradually increasing, and the spatial pattern of the urban network has gradually shifted from a unipolar attraction type to a spatial pattern of "one main and multiple subordinates.

A high-performance, oxidation resistance and flexible Zn@MXene/cellulose nanofibers electromagnetic shielding film.

Next-generation wearable electromagnetic interference (EMI) materials need to be provided with oxidation resistance, lightness, and flexibility. In this study, a high-performance EMI film with synergistic enhancement of Zn@TiCT MXene/cellulose nanofibers (CNF) was found. The unique Zn@TiCT MXene/CNF heterogeneous interface facilitates the loss of interface polarization, making the total electromagnetic shielding effectiveness (EMI SE) and shielding effectiveness per unit thickness (SE/) of the films reach 60.

Transcriptome profiling provides insights into leaf color changes in two Acer palmatum genotypes.

Background: Ornamental trees with seasonally-dependent leaf color, such as Acer palmatum, have gained worldwide popularity. Leaf color is a main determinant of the ornamental and economic value of A. palmatum.

The Spatial-Temporal Transition and Influencing Factors of Green and Low-Carbon Utilization Efficiency of Urban Land in China under the Goal of Carbon Neutralization.

Urban-land development and utilization is one of the main sources of carbon emissions. Improving the green and low-carbon utilization efficiency of urban land (GLUEUL) under the goal of carbon neutrality is crucial to the low-carbon transition and green development of China's economy. Combining the concept of green and low-carbon development in urban land use, carbon emissions and industrial-pollution emissions are incorporated into the unexpected outputs of the GLUEUL evaluation system.

Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China.

With the expansion of the scale of China's economy and the acceleration of urbanization, energy consumption is increasing, and environmental degradation and other problems have arisen. In order to solve such prominent problems, China proposed the "carbon peak" and "carbon neutral" targets in 2020. Although there are research conclusions about the impact of urbanization on energy intensity (), conclusions about the impact of the urban agglomeration policy () on are still unclear.