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Electrochemical preparation of the Fe-Ni36 Invar alloy from a mixed oxides precursor in molten carbonates

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International Journal of Minerals,Metallurgy and Materials 2020年第12期27卷 1695-1702页

作者： Yan-peng Dou di-yong Tang Hua-yi Yin di-hua Wang School of Resource and Environmental Sciences Wuhan UniversityWuhan 430072China

The Fe-Ni36 alloy was prepared via the one-step electrolysis of a mixed oxides precursor in a molten Na2CO3-K2CO3 eutectic melt at 750℃,where porous Fe_(2)O_(3)-NiO pellets served as the cathode and the Ni10 Cu11 Fe alloy was an inert *** the electrolysis,Ni O was preferentially electro-reduced to Ni,then Fe_(2)O_(3)was reduced and simultaneously alloyed with nickel to form the Fe-Ni36 *** cell voltages were applied to optimize the electrolytic conditions,and a relatively low energy consumption of 2.48 k W·h·kg^(-1) for production of Fe Ni36 alloy was achieved under 1.9 V with a high current efficiency of 94.6%.The particle size of the alloy was found to be much smaller than that of the individual *** process provides a low-carbon technology for preparing the Fe-Ni36 alloy via molten carbonates electrolysis.

关键词： molten carbonates cyclic voltammetry electro-reduction inert anode Invar36 alloy

diagnostic and therapeutic potential of exosomal miRNAs in Alzheimer’s disease

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Neural Regeneration Research 2021年第11期16卷 2217-2218页

作者： Ida Manna Selene De Benedittis Enrico Iaccino Andrea Quattrone aldo Quattrone Institute of Molecular Bioimaging and Physiology(IBFM) National Research Council(CNR)Section of Germaneto88100 CatanzaroItaly University“Magna Graecia ”Germaneto88100 CatanzaroItaly Department of Experimental and Clinical Medicine University“Magna Graecia”of Catanzaro88100 CatanzaroItaly and Surgical Sciences University“Magna Graecia”Germaneto88100 CatanzaroItaly Neuroscience Research Center University Magna Graecia88100 CatanzaroItaly

Alzheimer’s disease(AD)is a primary cause of *** is a neurodegenerative disorder,characterized by synapses loss,extracellular amyloid plaques composed of the amyloid-βpeptide(Aβ)and intracellular aggregates of hyperphosphorylated tau *** is a complex disease linked to multiple interacting factors,both environmental and genetic,which can contribute to the onset and severity of the *** studies have highlighted several cardiovascular risk factors that can increase the risk of *** genetic landscape of AD has changed dramatically in recent *** studies identified mutations in the amyloid precursor protein gene(APP)as well as proteins that are involved in the enzymatic cleavage of APP to toxicβ-amyloid(Aβ),namely presenilin-1 and ***,these mutations were found in familial cases of early-onset AD,while the causes of sporadic late-onset AD are still *** latest advances in Genomewide Association Studies(GWAS),sequencing,and bioinformatics have begun to unravel the complex genetic architecture of the sporadic form of *** were able to uncover common variants with high frequency in the population that individually carried low risk(Robinson et al.,2017).The advent of next-generation and thirdgeneration sequencing platforms shows great promise in further unravelling the genetics of AD.

关键词： Alzheimer Aβ tau

融合语义分割与模糊推理的无人机应急降落选址算法

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计算机工程与应用 2025年第1期61卷 174-185页

作者：李迪肖敏任东谢咏昶姚远三峡大学计算机与信息学院湖北宜昌443002 三峡大学湖北省农田环境监测工程技术研究中心湖北宜昌443002

随着无人机的应用领域从娱乐摄影拓展到物流、军事和灾害响应,对于无人机的自主智能化要求也越来越高。针对无人机紧急情况下自主降落区域复杂难以保证着陆安全的问题,提出了一种实时语义分割网络与模糊推理相结合的降落选址算法(STDC-L... 详细信息

随着无人机的应用领域从娱乐摄影拓展到物流、军事和灾害响应,对于无人机的自主智能化要求也越来越高。针对无人机紧急情况下自主降落区域复杂难以保证着陆安全的问题,提出了一种实时语义分割网络与模糊推理相结合的降落选址算法(STDC-LSSNet)。考虑到潜在危险因素在航拍图像上占比小、易被错误分割的问题,提出了小目标特征提取模块(small target feature capture module,STFCM),通过计算不同尺度特征的相似性并进行权重分配,强化小目标特征的表达。考虑到安全区域与危险区域边界混淆会导致无人机降落存在巨大风险,提出了边界特征融合模块(boundary feature fusion module,BFFM),将浅层网络由拉普拉斯卷积得到的边界信息与深层网络的语义信息进行特征融合,引入注意力机制,增强边界区域特征的表达。通过对分割得到的图像进行模糊推理,从而精确识别应急降落地点。所提算法在公开数据集Semantic Drone和AeroScapes上与最先进的算法进行了广泛的对比实验,mIoU提升1.72个百分点和3.89个百分点,实时分割速度达到210 FPS,选址的速度达到58.62 ms,实现了无人机在复杂情况下的应急降落选址。

关键词：无人机自主降落实时语义分割模糊推理注意力机制

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Analysis of aggressiveness factors in hepatocellular carcinoma patients undergoing transarterial chemoembolization

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World Journal of Gastroenterology 2018年第15期24卷 1641-1649页

作者： Yossi Ventura Brian I Carr Issac Kori vito Guerra Oren Shibolet Liver Unit Department of Gastroenterology and Hepatology Tel-Aviv Medical Center Sackler faculty of Medicine Tel-Aviv University Izmir Biomedicine and Genome Center Dokuz Eylul University Interventional Radiology Division of Imaging TelAviv Medical Center Department of Clinical Trials and Epidemiology IRCCS de Bellis

AIM To investigate novel predictors of survival in hepatocellular carcinoma(HCC) patients following transarterial chemoembolization(TACE).METHODS One hundred sixty seven patients with un-resectable HCC were retrospectively analyzed to identify factors that might contribute to their HCC biology and aggressiveness. We correlated routine laboratory results(total bilirubin, AST, ALKP, GGTP, albumin etc.) to maximum tumor diameter, number of tumor nodules, portal vein thrombosis and blood alpha-fetoprotein levels. These 4 parameters were previously combined to form an aggressiveness index(AgI). We used The Wilcoxon ranksum(Mann-Whitney), to test the correlation between the AgI categories and liver function parameters. The Cox proportional hazards model was applied to evaluate the categories of AgI associated with overall survival. RESULTS The AgI was strongly correlated with survival in this novel patient population. Three year survival probability for AgI > or 4 had HR for mortality of 2.18(95%CI: 1.108-4.310, P 4 had a HR for mortality of 2.26(95%CI: 1.184-4.327, P < 0.016). GGTP had a HR of 1.003(95%CI: 1.001-1.004, P < 0.001).CONCLUSION Our study validates the AgI in a new population with un-

关键词： Hepatocellular carcinoma Aggressiveness index Liver function Transarterial chemoembolization survival

Characteristics of extratropical cyclone variability in the Northern Hemisphere and their response to rapid changes in Arctic sea ice

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Acta Oceanologica Sinica 2023年第10期42卷 10-22页

作者： di Chen Qizhen Sun Ocean University of China Qingdao 266100China National Marine Environmental Forecasting Center Beijing 100081China

Extratropical cyclones are critical weather systems that affect large-scale weather and climate changes at mid-high ***,prior research shows that there are still great difficulties in predicting extratropical cyclones for occurrence,frequency,and *** this study,mean sea level pressure(MSLP)data from the European Centre for Medium-Range Weather Forecasts(ECMWF)reanalysis(ERA5)are used to calculate the variance statistics of the MSLP to reveal extratropical cyclone activity(ECA).Based on the analysis of the change characteristics of ECA in the Northern Hemisphere,the intrinsic link between ECA in the Northern Hemisphere and Arctic sea ice is *** results show that the maximum ECA mainly occurs in winter over the mid-high latitudes in the Northern *** maximum ECA changes in the North Pacific and the North Atlantic,which are the largest variations in the Northern Hemisphere,are independent of each other,and their mechanisms may be ***,MSLP is a significant physical variable that affects *** North Atlantic Oscillation(NAO)and North Pacific Index(NPI)are significant indices that impact ECA in the North Atlantic and North Pacific,*** innovation of this paper is to explore the relationship between the activity of extratropical cyclones in the Northern Hemisphere and the abnormal changes in Arctic sea ice for the first *** mechanism is that the abnormal changes in summer-autumn and winter Arctic sea ice lead to the phase transition of the NPI and NAO,respectively,and then cause the occurrence of ECA in the North Pacific and North Atlantic,*** sea ice plays a crucial role in the ECA in the Northern Hemisphere by influencing the polar vortex and westerly *** is the first exploration of ECAs in the Northern Hemisphere using Arctic sea ice,which can provide some references for the in-depth study and prediction of ECAs in the Northern Hemisphere.

关键词： extratropical cyclones mean sea level pressure North Atlantic Oscillation(NAO) North Pacific Index(NPI) Arctic sea ice

Higgs bundles over foliation manifolds

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Science China Mathematics 2021年第2期64卷 399-420页

作者： di Wu Xi Zhang School of Mathematical Sciences University of Science and Technology of ChinaHefei 230026China

In this paper,we consider the stability,semi-stability and canonical metric structures on transverse Higgs bundles over a class of foliation *** a transversal Bogomolov inequality is obtained.

关键词： foliation manifold Higgs bundle (approximate)transverse Hermitian-Einstein transversal Bogomolov inequality

Mutual information of cylinder pressure and combustion phase estimation in spark ignition engines

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Control Theory and Technology 2020年第1期18卷 34-42页

作者： Huanyu di Tielong SHEN Department of Engineering and Applied Sciences Sophia UniversityTokyo 102-8554Japan

For the study of internal combustion engines,combustion control is an important method to achieve high efficiency and low ***,in-cylinder pressure sensor-based closed-loop control strategies have become the preferred ***,their productional application in automotive industries is limited due to the cost of intensive pressure acquisition for a whole cycle and the calculation load of combustion phase *** paper proposes a method of combustion phase estimation for spark ignition(SI)*** this method,the combustion phase is estimated only based on pressure measurements at several crank *** entropy and mutual information are introduced to analyze the feasibility and accuracy of the combustion phase estimation,which shows that the pressure measurements at selected points contain most of the information for the *** a result,only pressure measurements at 3 points and ELM estimation models are required to obtain the combustion phase,instead of intensive data acquisition and calculation.

关键词： Information entropy mutual information combustion phase estimation in-cylinder pressure extreme learning machine

The blow-up of the conformal mean curvature flow

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Science China Mathematics 2020年第4期63卷 733-754页

作者： Xingxiao Li di Zhang College of Mathematics and Information Sciences Henan Normal UniversityXinxiang 453007China

In this paper, we introduce and study the conformal mean curvature flow of submanifolds of higher codimension in the Euclidean space R^n. This kind of flow is a special case of a general modified mean curvature flow which is of various origination. As the main result, we prove a blow-up theorem concluding that, under the conformal mean curvature flow in R^n, the maximum of the square norm of the second fundamental form of any compact submanifold tends to infinity in finite time. Furthermore, we also prove that the external conformal forced mean curvature flow of a compact submanifold in R^n with the same pinched condition as Andrews-Baker's will be convergent to a round point in finite time.

关键词： conformal mean curvature flow conformal external force blow-up of the curvature round point

Flood susceptibility assessment using artificial neural networks in Indonesia

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Artificial Intelligence in Geosciences 2021年第1期2卷 215-222页

作者： Stela Priscillia Calogero Schillaci aldo Lipani Department of Civil Environmental and Geomatic EngineeringUniversity College London(UCL)United Kingdom European Commission Joint Research CentreItaly

Flood incidents can massively damage and disrupt a city economic or governing ***,flood risk can be mitigated through event planning and city-wide preparation to reduce ***,governments,firms,and civilians to make such preparations,flood susceptibility predictions are *** predict flood susceptibility nine environmental related factors have been *** are elevation,slope,curvature,topographical wetness index(TWI),Euclidean distance from a river,land-cover,stream power index(SPI),soil type and *** work will use these environmental related factors alongside Sentinel-1 satellite imagery in a model intercomparison study to back-predict flood susceptibility in Jakarta for the January 2020 historic flood event across 260 key *** each location,this study uses current environmental conditions to predict flood status in the following *** the imbalance between instances of flooded and non-flooded conditions,the Synthetic Minority Oversampling Technique(SMOTE)has been implemented to balance both classes in the training *** work compares predictions from artificial neural networks(ANN),k-Nearest Neighbors algorithms(k-NN)and Support Vector Machines(SVM)against a random *** effects of the SMOTE are also assessed by training each model on balanced and imbalanced *** ANN is found to be superior to the other machine learning models.

关键词： Radar remote sensing Topography DEM CNN Segmentation Flood Water