P-type cold-source field-effect transistors with TcX_(2) and ReX_(2)(X=S,Se)cold source electrodes:A computational study

Cold-source field-effect transistors(CS-FETs)have been developed to overcome the major challenge of power dissipation in modern integrated circuits.Cold metals suitable for n-type CS-FETs have been proposed as the ideal electrode to filter the high-energy electrons and break the thermal limit on subthreshold swing(SS).In this work,regarding the p-type CS-FETs,we propose TcX_(2) and ReX_(2)(X=S,Se)as the injection source to realize the sub-thermal switching for holes.First-principles calculations unveils the cold-metal characteristics of monolayer TcX_(2) and ReX_(2),possessing a sub-gap below the Fermi level and a decreasing DOS with energy.Quantum device simulations demonstrate that TcX_(2) and ReX_(2) can enable the cold source effects in WSe_(2) p-type FETs,achieving steep SS of 29-38 mV/dec and high on/off ratios of(2.3-5.6)×10^(7).Moreover,multilayer Re S2retains the cold metal characteristic,thus ensuring similar CS-FET performances to that of the monolayer source.This work underlines the significance of cold metals for the design of p-type CS-FETs.

Determination and ecological risk assessment of arsenic and mercury in sediments from the Changjiang River Estuary and adjacent East China Sea

Arsenic(As)and mercury(Hg)are pollutants presented in marine environment.A process of atomic fluorescence spectrometry was proposed for the simultaneous determination of As and Hg in marine sediment samples(n=38)collected from the Changjiang River Estuary and adjacent East China Sea.The proposed method used an optimized pretreatment procedure in an aqua regia–H_(2)O digestion system.Recoveries of As and Hg increased to97%and 98%,respectively,with suitable precisions(2.7%–4.1%)under optimized process conditions.As and Hg were widely presented in these samples,with the ranges of content values were 2.39–8.77μg/g for As and48.03–410.8 ng/g for Hg.Results indicate that anthropogenic factors strongly influence the abundances of As and Hg in investigated samples.The preliminary environmental risk assessment was investigated using the Igeoaccumulation index(Igeo)and anthropogenic contribution rate(M).Findings reveal that Hg demonstrates a strong ecological risk(with average values of 1.3 and 72%for Igeo and M,respectively)in the sediments from the Changjiang River Estuary and adjacent East China Sea.Therefore,Hg should be considered in future investigations.

Exploration and Application of Ubiquitous Mapping in Engineering Practice Courses in the Intelligence Age

In the current era of digital surveying and mapping to intelligent surveying and mapping,ubiquitous surveying and mapping has brought many opportunities and challenges to college engineering course teaching.With the development of ubiquitous surveying and mapping,college engineering practice courses urgently need to respond to ubiquitous surveying and mapping.The research aims to integrate the development of ubiquitous surveying and mapping into the teaching of engineering practice courses in colleges,including promoting Android,Brower/Server(B/S),and Client/Server(C/S)to build a platform for practice courses.This also incorporates real development cases in measurement data processing such as gravity field refinement.In this way,the teaching level of engineering practice courses in colleges can be improved,and new ideas can be put forward for cultivating surveying and mapping talents in the new era in colleges.Finally,it can also provide new ideas for the organization of surveying and mapping practice courses under the background of the pandemic.

仿生阴离子锰氢催化剂实现微小差异烷基的手性识别

极性不饱和键的还原反应是一类基础且重要的转化反应[1],常用的还原剂包括LiAlH_(4)、NaBH_(4)等活泼金属氢化合物[2].以LiAlH_(4)为代表的活泼金属氢还原剂是一类典型的阴离子型金属氢配合物.其中,AlH_(4)–阴离子具有极强的负氢亲核性,Li^(+)作为抗衡阳离子可与极性键中电负性较大的杂原子配位,有效增强底物的亲电性,从而在极性不饱和化合物的还原反应中展现出优异的反应活性[3].

Reducing language barriers,promoting information absorption,and communication using fanyi

Interpreting genes of interest is essential for identifying molecular mechanisms,but acquiring such information typically involves tedious manual retrieval.To streamline this process,the fanyi package offers tools to retrieve gene information from sources like National Center for Biotechnology Information(NCBI),significantly enhancing accessibility.Additionally,understanding the latest research advancements and sharing achievements are crucial for junior researchers.However,language barriers often restrict knowledge absorption and career development.To address these challenges,we developed the fanyi package,which leverages artificial intelligence(AI)-driven online translation services to accurately translate among multiple languages.This dual functionality allows researchers to quickly capture and comprehend information,promotes a multilingual environment,and fosters innovation in academic community.Meanwhile,the translation functions are versatile and applicable beyond biomedicine research to other domains as well.The fanyi package is freely available at https://github.com/YuLab-SMU/fanyi.

shinyTempSignal:an R shiny application for exploring temporal and other phylogenetic signals

The molecular clock model is fundamental for inferring species divergence times from molecular sequences.However,its direct application may introduce significant biases due to sequencing errors,recombination events,and inaccurately labeled sampling times.Improving accuracy necessitates rigorous quality control measures to identify and remove potentially erroneous sequences.Furthermore,while not all branches of a phylogenetic tree may exhibit a clear temporal signal,specific branches may still adhere to the assumptions,with varying evolutionary rates.Supporting a relaxed molecular clock model better aligns with the complexities of evolution.The root-to-tip regression method has been widely used to analyze the temporal signal in phylogenetic studies and can be generalized for detecting other phylogenetic signals.Despite its utility,there remains a lack of corresponding software implementations for broader applications.To address this gap,we present shinyTempSignal,an interactive web application implemented with the shiny framework,available as an R package and publicly accessible at https://github.com/YuLab-SMU/shinyTempSignal.This tool facilitates the analysis of temporal and other phylogenetic signals under both strict and relaxed models.By extending the root-to-tip regression method to diverse signals,shinyTempSignal helps in the detection of evolving features or traits,thereby laying the foundation for deeper insights and subsequent analyses.

Causal relationships between chronotype and risk of multiple cancers by using longitudinal data and Mendelian randomization analysis

Dear Editor,Cancer is the second leading cause of death worldwide,and the cancer situation is becoming more complicated(Zhou et al.,2022).The International Agency for Research on Cancer(IARC)Monographs Working Group classified night shift work as probably carcinogenic(Group 2A)to humans in2019(Ward et al.,2019).

MicrobiotaProcess:A comprehensive R package for deep mining microbiome

The data output from microbiome research is growing at an accelerating rate,yet mining the data quickly and efficiently remains difficult.There is still a lack of an effective data structure to represent and manage data,as well as flexible and composable analysis methods.In response to these two issues,we designed and developed the MicrobiotaProcess package.It provides a comprehensive data structure,MPSE,to better integrate the primary and intermediate data,which improves the integration and exploration of the downstream data.Around this data structure,the downstream analysis tasks are decomposed and a set of functions are designed under a tidy framework.These functions independently perform simple tasks and can be combined to perform complex tasks.

Resolving tumor evolution:a phylogenetic approach

The evolutionary dynamics of cancer,characterized by its profound heterogeneity,demand sophisticated tools for a holistic understanding.This review delves into tumor phylogenetics,an essential approach bridging evolu-tionary biology with oncology,offering unparalleled insights into cancer’s evolutionary trajectory.We provide an overview of the workflow,encompassing study design,data acquisition,and phylogeny reconstruction.No-tably,the integration of diverse data sets emerges as a transformative step,enhancing the depth and breadth of evolutionary insights.With this integrated perspective,tumor phylogenetics stands poised to redefine our understanding of cancer evolution and influence therapeutic strategies.

金属草酸盐基负极材料——离子电池储能材料的新选择

商业化锂离子电池石墨负极和锂盐过渡金属氧化物正极材料的储锂容量都已接近各自的理论值,探索下一代高能量密度电极材料是解决现阶段锂离子电池容量限制的关键。近年来,新型金属草酸基负极材料,借助其在金属离子电池中多元化储能机制诱发的较高储能效应在碱金属离子电池绿色储能材料领域备受关注。本文就金属草酸基材料在锂、钠、钾金属离子电池方面的最新研究进行了综述,着重介绍了材料的晶型结构、多元化储能机制及储能过程中的动力学特征,简单阐述了材料在电化学储能中存在的问题,分析了金属草酸基负极材料在形貌晶型控制、界面碳复合改性和金属元素掺杂方面的改性策略。最后,预测了金属草酸基负极材料在碱金属离子电池体系的发展方向。

Innovatively employing magnetic CuO nanosheet to activate peroxymonosulfate for the treatment of high-salinity organic wastewater

Magnetic CuO nanosheet(Mag-CuO), as a cheap, stable, efficient and easily separated peroxymonosulfate(PMS) activator, was prepared by a simple one-step precipitation method for the removal of organic compounds from salt-containing wastewater.The experiments showed that the removal efficiencies of various organic pollutants including Acid Orange 7, Methylene Blue, Rhodamine B and atrazine in a high-salinity system(0.2 mol/L Na2SO4) with the Mag-CuO/PMS process were 95.81%, 74.57%, 100% and 100%,respectively.Meanwhile, Mag-CuO still maintained excellent catalytic activity in other salt systems including one or more salt components(NaCl, NaNO3, Na2HPO4, NaHCO3).A radical-quenching study and electron paramagnetic resonance analysis confirmed that singlet oxygen(1O2) was the dominant reactive oxygen species for the oxidation of organic pollutants in high-salinity systems, which is less susceptible to hindrance by background constituents in wastewater than radicals(·OH or SO4·-).The surface hydroxylation of the catalyst and catalytic redox cycle including Cu and Fe are responsible for the generation of1O2.The developed Mag-CuO catalyst shows good application prospects for the removal of organic pollutants from saline wastewater.

Release characteristics of mercury in chemical looping combustion of bituminous coal

This study evaluated the release characteristics of mercury from bituminous coal in chemical looping combustion(CLC)using Australian iron ore as the oxygen carrier in a fixed bed reactor.The effects of several parameters,such as temperature in the fuel reactor(FR)and air reactor(AR),gasification medium in the FR,and reaction atmosphere in the AR,on mercury release characteristics,were investigated.The mercury speciation and release amount in the FR and AR under different conditions were further explored.The results indicate that most of the mercury in coal was released in the FR,while the rest of it was released in the AR.Hg0 was found to be the major species in the released mercury.The results also indicate that a higher temperature in the FR led to an increase in the total mercury release amount and a decrease in Hg0 proportion.However,a higher temperature in the AR resulted in a decrease in the total mercury release amount and Hg 0 proportion.The increase in the H2O/CO2 ratio of gasification mediums in the FR was beneficial for the increase in the total mercury release amount and Hg 0 proportion.A higher O2 concentration in reaction atmosphere in AR had a negligible effect on the total mercury release amount,but a positive effect on Hg0 oxidization.

Decoding the brain:Unveiling comprehensive cellular atlases through multiomics mega-data

The pursuit to comprehend the intricate nature of the brain,an organ of unparalleled complexity,remains a persistent endeavor in the field of neuroscience.1 Recent strides by the National Institutes of Health’s BRAIN Initiative–Cell Census Network(BICCN)have yielded comprehensive cellular atlases for mice and humans,2,3 published in Nature and Science,respectively.Additionally,a 3D cell-type atlas of the macaque brain,contributed by Cell,offers profound insights into non-human primate cortical intricacies.4 These collaborative initiatives,driven by the US’s BICCN and China’s Brain Project,represent a significant leap forward in unraveling the cellular intricacies of the brain,culminating in groundbreaking exploration across mice,non-human primates,and humans.The confluence of these works serves to elucidate the intricate cellular landscapes of the brain through a multiomics approach,signifying a pivotal advancement in neuroscience research toward comprehensive understanding and collaborative exploration(Figure 1).