Oncologic outcomes with and without amniotic membranes in robotic-assisted radical prostatectomy:A propensity score matched analysis

Objective:Placement of human placenta derived grafts during robotic-assisted radical prostatectomy(RARP)hastens the return of continence and potency.The long-term impact on the oncologic outcomes remains to be investigated.Our objective was to determine the oncologic outcomes of patients with dehydrated human amnion chorion membrane(dHACM)at RARP compared to a matched cohort.Methods:In a referral centre,from August 2013 to October 2019,599 patients used dHACM in bilateral nerve-sparing RARP.We excluded patients with less than 12 months follow-up,simple prostatectomy,and unilateral nerve-sparing.Patients with dHACM(amnio group)were 529,and were propensity score matched 1:1 to 2465 patients without dHACM(non-amnio group)and a minimum follow-up of 36 months.At the time of RARP,dHACM was placed around the neurovascular bundle in the amnio group.Continuous and categorical variables in matched groups was tested by two-sample Kolmogorov-Smirnov test and Fisher's exact test respectively.Outcomes measured were biochemical recurrence(BCR),adjuvant and salvage therapy rates.Results:Propensity score matching resulted in two groups of 444 patients.Cumulative incidence functions for BCR did not show a difference between the groups(p=0.3).Patients in the non-amnio group required salvage therapy more frequently than the amnio group,particularly after partial nerve-sparing RARP(6.3%vs.2.3%,p=0.001).Limitations are the absence of prospective randomization.Conclusion:The data suggest that using dHACM does not have a negative impact on BCR in patients.Outcomes of cancer specific and overall survival will require follow-up study to increase our understanding of these grafts’impact on prostate cancer biology.

Roles of hepatocyte nuclear factors in hepatitis B virus infection

Approximately 350 million people are estimated to be persistently infected with hepatitis B virus(HBV) worldwide. HBV maintains persistent infection by employing covalently closed circular DNA(ccc DNA), a template for all HBV RNAs. Chronic hepatitis B(CHB) patients are currently treated with nucleos(t)ide analogs such as lamivudine, adefovir, entecavir, and tenofovir. However, these treatments rarely cure CHB because they are unable to inhibit ccc DNA transcription and inhibit only a late stage in the HBV life cycle(the reverse transcription step in the nucleocapsid). Therefore, an understanding of the factors regulating ccc DNA transcription is required to stop this process. Among numerous factors, hepatocyte nuclear factors(HNFs) play the most important roles in ccc DNA transcription, especially in the generation of viral genomic RNA, a template for HBV replication. Therefore, proper control of HNF function could lead to the inhibition of HBV replication. In this review, we summarize and discuss the current understanding of the roles of HNFs in the HBV life cycle and the upstream factors that regulate HNFs. This knowledge will enable the identification of new therapeutic targets to cure CHB.

Core-branch Co Ni hydroxysulfides with versatilely regulated electronic and surface structures for superior oxygen evolution electrocatalysis

To satisfy the rapid development of gas-involving electrocatalysis(O2, CO2, N2, etc.), nanostructured electrocatalysts with favorably regulated electronic structure and surface nanostructures are urgently required. Herein, we highlighted a core-branch hydroxysulfide as a significantly enhanced oxygen evolution reaction electrocatalyst. This hydroxysulfide was facilely fabricated via a versatile interfacial reaction in S2- inorganic solution at room temperature for a designed period. The moderative growth kinetics contributed to the growth of interconnected hydroxysulfide nanosheets with high-sulfur contents on the hydroxide precursor substrates, resulting in a hierarchical nanostructure with multifunctional modifications, including regulated electronic structure, rapid electron highway, excellent accessibility, and facilitated mass transfer. Such synthetic methodology can be generalized and facilely governed by regulating the temperature, concentration, duration, and solvent for targeted nanostructures. Contributed to the favorably regulated electronic structure and surface nanostructure, the as-obtained core-branch Co2NiS2.4(OH)1.2 sample exhibits superior OER performance, with a remarkably low overpotential(279 m V required for 10.0 m A c^m-2), a low Tafel slope(52 m V dec^-1), and a favorable long-term stability. This work not only presents a promising nanostructured hydroxysulfide for excellent OER electrocatalysis, but also shed fresh lights on the further rational development of efficient electrocatalysts.

Recent advances in electrocatalytic oxygen reduction for on-site hydrogen peroxide synthesis in acidic media

Electrocatalytic oxygen reduction reaction (ORR) via two-electron pathway is a promising approach to decentralized and on-site hydrogen peroxide (H_(2)O_(2)) production beyond the traditional anthraquinone process.In recent years,electrochemical H_(2)O_(2) production in acidic media has attracted increasing attention owing to its stronger oxidizing capacity,superior stability,and higher compatibility with various applications.Here,recent advances of H_(2)O_(2) electrosynthesis in acidic media are summarized.Specifically,fundamental aspects of two-electron ORR mechanism are firstly presented with an emphasis on the pH effect on catalytic performance.Major categories of promising electrocatalysts are then reviewed,including noble-metal-based materials,non-noble-metal single-atom catalysts,non-noblemetal compounds,and metal-free carbon-based materials.The innovative development of electrochemical devices and in situ/on-site application of electrogenerated H_(2)O_(2) are also highlighted to bridge the gap between laboratory-scale fundamental research and practically relevant H_(2)O_(2) electrosynthesis.Finally,critical perspectives on present challenges and promising opportunities for future research are provided.

Recent advances in spinel-type electrocatalysts for bifunctional oxygen reduction and oxygen evolution reactions

The demand for efficient and environmentally-benign electrocatalysts that help availably harness the renewable energy resources is growing rapidly. In recent years, increasing insights into the design of water electrolysers, fuel cells, and metal–air batteries emerge in response to the need for developing sustainable energy carriers, in which the oxygen evolution reaction and the oxygen reduction reaction play key roles. However, both reactions suffer from sluggish kinetics that restricts the reactivity. Therefore, it is vital to probe into the structure of the catalysts to exploit high-performance bifunctional oxygen electrocatalysts. Spinel-type catalysts are a class of materials with advantages of versatility, low toxicity, low expense, high abundance, flexible ion arrangement, and multivalence structure. In this review, we afford a basic overview of spinel-type materials and then introduce the relevant theoretical principles for electrocatalytic activity, following that we shed light on the structure–property relationship strategies for spinel-type catalysts including electronic structure, microstructure, phase and composition regulation,and coupling with electrically conductive supports. We elaborate the relationship between structure and property, in order to provide some insights into the design of spinel-type bifunctional oxygen electrocatalysts.

Establishment and validation of a computer-assisted colonic polyp localization system based on deep learning

BACKGROUND Artificial intelligence in colonoscopy is an emerging field,and its application may help colonoscopists improve inspection quality and reduce the rate of missed polyps and adenomas.Several deep learning-based computer-assisted detection(CADe)techniques were established from small single-center datasets,and unrepresentative learning materials might confine their application and generalization in wide practice.Although CADes have been reported to identify polyps in colonoscopic images and videos in real time,their diagnostic performance deserves to be further validated in clinical practice.AIM To train and test a CADe based on multicenter high-quality images of polyps and preliminarily validate it in clinical colonoscopies.METHODS With high-quality screening and labeling from 55 qualified colonoscopists,a dataset consisting of over 71000 images from 20 centers was used to train and test a deep learning-based CADe.In addition,the real-time diagnostic performance of CADe was tested frame by frame in 47 unaltered full-ranged videos that contained 86 histologically confirmed polyps.Finally,we conducted a selfcontrolled observational study to validate the diagnostic performance of CADe in real-world colonoscopy with the main outcome measure of polyps per colonoscopy in Changhai Hospital.RESULTS The CADe was able to identify polyps in the test dataset with 95.0%sensitivity and 99.1%specificity.For colonoscopy videos,all 86 polyps were detected with 92.2%sensitivity and 93.6%specificity in frame-by-frame analysis.In the prospective validation,the sensitivity of CAD in identifying polyps was 98.4%(185/188).Folds,reflections of light and fecal fluid were the main causes of false positives in both the test dataset and clinical colonoscopies.Colonoscopists can detect more polyps(0.90 vs 0.82,P<0.001)and adenomas(0.32 vs 0.30,P=0.045)with the aid of CADe,particularly polyps<5 mm and flat polyps(0.65 vs 0.57,P<0.001;0.74 vs 0.67,P=0.001,respectively).However,high efficacy is not realized in colonoscopies with inadequate bowel preparation and withdrawal time(P=0.32;P=0.16,respectively).CONCLUSION CADe is feasible in the clinical setting and might help endoscopists detect more polyps and adenomas,and further confirmation is warranted.

Cortical transcriptome analysis after spinal cord injury reveals the regenerative mechanism of central nervous system in CRMP2 knock-in mice

Recent studies have shown that mutation at Ser522 causes inhibition of collapsin response mediator protein 2(CRMP2) phosphorylation and induces axon elongation and partial recovery of the lost sensorimotor function after spinal cord injury(SCI).We aimed to reveal the intracellular mechanism in axotomized neurons in the CRMP2 knock-in(CRMP2KI) mouse model by performing transcriptome analysis in mouse sensorimotor cortex using micro-dissection punching system.Prior to that, we analyzed the structural pathophysiology in axotomized or neighboring neurons after SCI and found that somatic atrophy and dendritic spine reduction in sensorimotor cortex were suppressed in CRMP2KI mice.Further analysis of the transcriptome has aided in the identification of four hemoglobin genes Hba-a1, Hba-a2, Hbb-bs, and Hbb-bt that are significantly upregulated in wild-type mice with concomitant upregulation of genes involved in the oxidative phosphorylation and ribosomal pathways after SCI.However, we observed substantial upregulation in channel activity genes and downregulation of genes regulating vesicles, synaptic function, glial cell differentiation in CRMP2KI mice.Moreover, the transcriptome profile of CRMP2KI mice has been discussed wherein energy metabolism and neuronal pathways were found to be differentially regulated.Our results showed that CRMP2KI mice displayed improved SCI pathophysiology not only via microtubule stabilization in neurons, but also possibly via the whole metabolic system in the central nervous system, response changes in glial cells, and synapses.Taken together, we reveal new insights on SCI pathophysiology and the regenerative mechanism of central nervous system by the inhibition of CRMP2 phosphorylation at Ser522.All these experiments were performed in accordance with the guidelines of the Institutional Animal Care and Use Committee at Waseda University, Japan(2017-A027 approved on March 21, 2017;2018-A003 approved on March 25, 2018;2019-A026 approved on March 25, 2019).

Measurement and correlation study of silymarin solubility in supercritical carbon dioxide with and without a cosolvent using semi-empirical models and back-propagation artificial neural networks

The solubility data of compounds in supercritical fluids and the correlation between the experimental solubility data and predicted solubility data are crucial to the development of supercritical technologies. In the present work, the solubility data of silymarin(SM) in both pure supercritical carbon dioxide(SCCO2) and SCCO2 with added cosolvent was measured at temperatures ranging from 308 to 338 K and pressures from 8 to 22 MPa. The experimental data were fit with three semi-empirical density-based models(Chrastil, Bartle and Mendez-Santiago and Teja models) and a back-propagation artificial neural networks(BPANN) model. Interaction parameters for the models were obtained and the percentage of average absolute relative deviation(AARD%) in each calculation was determined. The correlation results were in good agreement with the experimental data. A comparison among the four models revealed that the experimental solubility data were more fit with the BPANN model with AARDs ranging from 1.14% to 2.15% for silymarin in pure SCCO2 and with added cosolvent. The results provide fundamental data for designing the extraction of SM or the preparation of its particle using SCCO2 techniques.

Exploration of Activated Pathways for Improving Antifungal Agent FR901469 Productivity in Fungal Species No.11243 Using Comprehensive Pathway Model

Secondary metabolites are important for various industrial applications. The production of secondary metabolites is often improved by the activation of substrate supply pathways for biosynthesis. However, many important pathways have remained unclear. In this study, we explored possible pathways related to substrate supply for the biosynthesis of the antifungal agent FR901469 which is a nonribosomal peptide and a fungal secondary metabolite. To clarify the unknown activated pathways, we utilized the Comprehensive Pathway Model (CPM) which was developed in our previous study. We verified that the overexpression of the hypothetical beta-alanine-aminotransferase (BAL-AT), which was included in the explored pathways, improved the FR901469 productivity. The genes encoding the BAL metabolic enzymes are considered to be important for improving the FR901469 productivity.

MOF衍生的磷化钴纳米纤维用于电催化氧析出和氢析出反应

高性能催化剂的开发和利用是能源领域的研究热点,其中制备具有高活性面积的一维纳米催化剂是目前的难点.本研究以金属有机框架(MOF)复合纤维为前驱体,通过热处理-磷化过程制备了具有氧析出(OER)和氢析出(HER)双功能特性的CoP纳米纤维.该MOF衍生策略也可以用来制备其他一维纳米材料,如Co_(3)O_(4)纳米纤维、Co/C纤维和CoP/C复合纤维.研究表明,CoP纳米纤维的直径约100 nm,长度可达几微米,具有较高的活性面积.通过Cu掺杂改性可以提高CoP纳米纤维的催化活性,碱性条件下测得其对OER和HER的过电位分别为330和170 mV,可与商业的贵金属催化剂相媲美.该工作也为一维双功能电极催化剂的制备及功能化提供了研究基础.

Pyridine-modulated Ni/Co bimetallic metal-organic framework nanoplates for electrocatalytic oxygen evolution

Two-dimensional(2D)metal-organic frameworks(MOFs)are promising for electrocatalysis with high performance,as they possess large surface areas and high densities of exposed active sites.It attracts tremendous attention to obtain 2D nanostructures via simple preparation methods.Herein,a facile pyridine-modulated solvothermal synthesis of Ni/Co bimetallic MOF nanoplates(NixCoy-bpy(PyM))is reported with well-defined 2D morphology with a thickness as thin as 20 nm and an aspect ratio larger than 50.These nanoplates possess oxygen evolution reaction activity as electrocatalysts in alkaline conditions.Specifically,Ni0.5Co1.5-bpy(PyM)exhibits excellent OER electrocatalytic activity with a low overpotential of 256 mV at 10 m A cm-2 and a small Tafel slope of 81.8 mV dec-1 in 1.0 mol L-1 KOH with long-term electrochemical stability for 3000 cyclic voltammetry cycles.The high catalytic activity of Ni0.5Co1.5-bpy(PyM)can be attributed to the in situ formed active hydroxide and oxyhydroxide species within the inherited 2D morphology and the optimized bimetallic ratio.

Response of the water use efficiency of natural vegetation to drought in Northeast China

Drought has become a problem that is universally faced by global terrestrial ecosystems. Northeast China is located in a region sensitive to global climate changes, and one of the main impacts of climate changes in Northeast China is manifested as drought in growing seasons. This study analyzes the spatio-temporal evolution law of the water use efficiency(WUE) of the main natural vegetation(i.e., cold-temperate coniferous forests, temperate pine-broad-leaved mixed forests, warm-temperate deciduous broad-leaved forests, and grasslands) in Northeast China based on public MODIS data products, including MCD12 Q1, MOD15 A2 H, MOD16 A2, and MOD17 A3 H, and meteorological data from 2002 to 2013. The influence of drought events on the WUE of different vegetation types and their response to drought events are also investigated. The study findings are as follows:(1) drought in Northeast China frequently occurs in the regions stretching from 114.55°E to 120.90°E, and the percentage of drought area among the forests is lower than that among the grasslands during these years;(2) the annual average WUE of the natural vegetation ranges from 0.82 to 1.08 C/kg^(-1) H_2O, and the WUE of forests(0.82 to 1.08 C/kg^(-1) H_2O) is universally higher than that of grasslands(0.84 to 0.99 C/kg^(-1) H_2O);(3) in 2008, the regions where the WUE in drought conditions is higher than that in normal water conditions account for 86.11% of the study area, and a significant linear positive correlation is found between the WUE in drought conditions and the WUE in normal water conditions, whereas the degree of drought does not influence the WUE of the natural vegetation in an obviously linear manner; and(4) the WUE for the cold-temperate coniferous forests and temperate pine-broad-leaved mixed forests with a high ET or low NPP is more likely to rise in drought conditions; the WUE for the grasslands with a low Evapotranspiration(ET), Net Primary Production(NPP), and Leaf Area Index(LAI) is more likely to rise in drought conditions; and the ET, NPP, and LAI have no significant influence on the WUE for the warm-temperate deciduous broad-leaved forests in drought conditions. This study contributes to improving the evaluation of the influence of drought on natural ecosystems.

Quasi-MOF-immobilized metal nanoparticles for synergistic catalysis

Through partial deligandation of metal-organic frameworks(MOFs),quasi-MOFs with a transition structure between MOFs and metal compounds(such as metal oxides,nitrides,sulfides,and phosphides)can be fabricated.Quasi-MOFs can not only retain the porous structure of MOFs to a certain extent,but also expose the inorganic nodes to the guest species(e.g.,metal nanoparticles)to show enhanced metal-support interaction for synergistic catalysis.This concept was first demonstrated by our group through calcining Au/MIL-101 at different temperatures under Ar flow to adjust the interface between Au nanoparticles and the inorganic Cr–O nodes.The obtained Au/quasi-MIL-101 showed superior enhanced catalytic activity in the oxidation of carbon monoxide.This study has inspired further research interest to fabricate other quasi-MOFs through controlled deligandation of mono-and bimetallic MOFs and their composites for the design of efficient catalysts.

Immobilizing palladium nanoparticles on boron-oxygen-functionalized carbon nanospheres towards efficient hydrogen generation from formic acid

Carb on nanospheres(XC-72R)were functionalized by boron-oxygen(B-O)through coannealing with boric acid,to which highly dispersed palladium nanoparticles(Pd NPs)(-1.7 nm)were immobilized by a wet chemical reduction for the first time.The resultant Pd/OB-C catalystexhibits significantly improved activity for the dehydrogenation from formic acid(FA)compared to pristine XC-72R supported Pd NPs(Pd/C).Impressively,by adding melamine precursor,the B-0 and nitrogen(N)-functionalized product OB-C-N displays an extremely high B content,ca.34 times higher than OB-C.The Pd/OB-C-N catalyst with an ultrafine Pd particle size of-1.4 nm shows a superb activity,with a turnoverfrequency(TOF)as high as 5,354 h^-1 at 323 K,owing to the uniform ultrafine Pd NPs and the effect from B-0 and N functionalities.

Uniformly bimetal-decorated holey carbon nanorods derived from metal-organic framework for efficient hydrogen evolution

The hydrogen evolution reaction(HER)as a fundamental process in electrocatalysis plays a significant role in clean energy technologies.For an energy-efficient HER,it demands an effective,durable,and low-cost catalyst to trigger proton reduction with minimal overpotential and fast kinetics.Here,we successfully fabricate a highly efficient HER catalyst of N-C/Co/Mo_(2)C holey nanorods with Co/b-Mo_(2)C nanoparticles uniformly embedded in nitrogen-doped carbon(N-C/Co/Mo_(2)C)by pyrolyzing the molybdate-coordinated zeolitic imidazolate framework(ZIF-67/MoO_(4)^(2-))holey nanorods,which result from the reaction between CoMoO_(4)and Me IM in a methanol/water/triethylamine mixed solution.The uniform distribution of MoO_(4)^(2-)in the ZIF-67/MoO_(4)^(2-)enables Co/β-Mo_(2)C nanoparticles to be welldistributed within nitrogen-doped carbon holey nanorods.This synthetic strategy endows the N-C/Co/Mo_(2)C catalyst with uniformly decorated bimetal,thus attaining excellent HER electrocatalytic activities with a small overpotential of 142.0 m V at 10 m A cm^(-2)and superior stability in 1.0 mol L^(-1)KOH aqueous solution.

Porous phosphorus-rich CoP3/CoSnO2 hybrid nanocubes for high-performance Zn-air batteries

Porous metal phosphide cubes with exposed vertices and edges containing abundant catalytically active sites are promising electrocatalysts. Herein, by integrating the advantages of the phosphorus-rich cobalt phosphides and bimetallic oxides to form hybrid architectures, we prepared CoP3/CoSnO2 via phosphating CoSn(OH)6 nanocubes, which has unique porous nanocubic structure. The optimized CoP3/CoSnO2 porous nanaocubes showed excellent electrocatalytic activity for OER/ORR. What’s more, the electrochemical performances of CoP3/CoSnO2 porous nanaocubes as air cathode catalyst for zinc air batteries were better than that of commercial RuO2 and 20 wt% Pt/C with a mass ratio of 1:1 as the air cathode catalyst. This work offers a new strategy to fabricate metal phosphide with porous nanocubic structures.

Cu-alanine complex-derived CuO electrocatalysts with hierarchical nanostructures for efficient oxygen evolution

Nowadays,Cu-based materials have attracted extensive attention as electrocatalysts,while the inherent reason of the filling of high anti-bonding state of Cu d band(3 d^(10)4 s^(1))makes it difficult to hybridize with O2 p band of oxygen intermediates during the adsorption process of oxygen evolution reaction(OER).To increase the efficiency of Cu-based electrocatalysts,efforts have been made to optimize the electronic structures and to create surface defects and hierarchical nanostructures with more exposed accessible active sites.Herein,we report a facile method for preparing CuO electrocatalysts with hierarchical nanostructures using the Cu-alanine complex as a precursor through room-temperature chemical precipitation and subsequent calcination in air.Investigations of products obtained at different calcination temperatures reveal the relationship between OER activities and the material characteristics such as specific surface areas,crystal growth orientations,and element components.The product obtained at 500℃exhibits the smallest overpotential of 290 mV in 1.0 mol/L KOH for electrocatalyzing OER.Combining with various characterizations of CuO electrocatalysts after OER activities,the possible catalytic mechanism and the influence factors of their OER performance are also discussed.

Recent Advances in Two-dimensional Materials for Electrochemical Energy Storage and Conversion

With the increased energy demand,developing renewable and clean energy technologies becomes more and more significant to mitigate climate warming and alleviate the environmental pollution.The key point is design and synthesis of low cost and efficient materials for a wide variety of electrochemical reactions.Over the past ten years,two-dimensional(2D)nanomaterials that graphene represents have been paid much attention as a class of the most promising candidates for heterogeneous electrocatalysts in electrochemical storage and conversion.Their unique properties,such as good chemical stability,good flexibility,and good electronic properties,along with their nanosized thickness and large specific area,make them exhibit comprehensively good performances for energy storage and conversion.Here,we present an overview on the recent advances in electrochemical applications of graphene,graphdiyne,transition metal dichalcogenides(TMDs),and MXenes for supercapacitors(SCs),oxygen reduction reaction(ORR),and hydrogen evolution reaction(HER).

Integration of Droplet Microfluidic Tools for Single-cell Functional Metagenomics:An Engineering Head Start

Droplet microfluidic techniques have shown promising outcome to study single cells at high throughput.However,their adoption in laboratories studying“-omics”sciences is still irrelevant due to the complex and multidisciplinary nature of the field.To facilitate their use,here we provide engineering details and organized protocols for integrating three droplet-based microfluidic technologies into the metagenomic pipeline to enable functional screening of bioproducts at high throughput.First,a device encapsulating single cells in droplets at a rate of~250 Hz is described considering droplet size and cell growth.Then,we expand on previously reported fluorescence-activated droplet sorting systems to integrate the use of 4 independent fluorescence-exciting lasers(i.e.,405,488,561,and 637 nm)in a single platform to make it compatible with different fluorescence-emitting biosensors.For this sorter,both hardware and software are provided and optimized for effortlessly sorting droplets at 60 Hz.Then,a passive droplet merger is also integrated into our pipeline to enable adding new reagents to already-made droplets at a rate of 200 Hz.Finally,we provide an optimized recipe for manufacturing these chips using silicon dry-etching tools.Because of the overall integration and the technical details presented here,our approach allows biologists to quickly use microfluidic technologies and achieve both single-cell resolution and high-throughput capability(>50,000 cells/day)for mining and bioprospecting metagenomic data.

Solid-solution alloy nanoclusters of the immiscible gold-rhodium system achieved by a solid ligand-assisted approach for highly efficient catalysis

Striking effects are expected in solid-solution alloying,which offers enormous possibilities for various applications,especially in industrial catalysis.However,phase diagrams have revealed that a wide range of metallic elements are immiscible with each other even above their melting points.Achieving such unknown alloying between different immiscible metallic elements is highly desirable but challenging.Here,for the first time,by using an innovative solid ligand-assisted approach,we achieve the solid-solution alloying between the bulk-immiscible Au and Rh in plenty of clean,ultrafine(∼1.6 nm)and highly dispersed nanoclusters.The solid-solution alloying of immiscible Au and Rh significantly enhances their catalytic performance toward the hydrogen evolution from formic acid in contrast to the monometallic Au and Rh nanoclusters.Moreover,the resultant binary solid-solution nanoclusters are stable without any segregation during catalytic reactions.The approach demonstrated here for homogeneously mixing the immiscible metals at the atomic scale will benefit the creation of advanced alloys and their catalytic applications in future.