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Erratum to: Dynamic ocean inverse modeling based on differentiable rendering

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Computational Visual Media 2024年第3期10卷 609-609页

作者： Xueguang Xie Yang Gao Fei Hou Aimin Hao Hong Qin State Key Lab of Virtual Reality Technology and Systems Beihang UniversityBeijing 100191China Qingdao Research Institute Beihang UniversityQingdao 266100Chinaand Peng Cheng LabShenzhen 518000China SKLCS Institute of SoftwareChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China department of Computer Science Stony Brook University(SUNY at Stony Brook)Stony BrookNew York 11794-2424USA

Erratum to Xueguang Xie,Yang Gao,Fei Hou,Aimin Hao&Hong *** ocean inverse modeling based on differentiable *** Visual Media Vol.10,No.2,279–294,***://doi10.1007/s41095-023-0338-4 The authors apologize for a hidden error in the *** is that the images in Figs.14(a)and 14(d)were mistakenly presented as left–right mirror *** authors have flipped them to ensure that the figures now correspond correctly with others in the subfigures(b,c,e,f).The accurate version of Fig.14 is provided as below.

关键词： ocean images inverse

Adult hippocampal neurogenesis and its impairment in Alzheimer's disease

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Zoological Research 2022年第3期43卷 481-496页

作者： Thomas A.Kim Michelle DSyty Kaitlyn Wu Shaoyu Ge department of Neurobiology&Behavior SUNY at Stony BrookStony BrookNY 11794USA Medical Scientist Training Program(MSTP) Renaissance School of Medicine at SUNYStony BrookStony BrookNY 11794USA

Adult neurogenesis is the creation of new neurons which integrate into the existing neural circuit of the adult *** evidence suggests that adult hippocampal neurogenesis(AHN)persists throughout life in mammals,including *** newborn neurons have been implicated to have a crucial role in brain functions such as learning and ***,studies have also found that hippocampal neurogenesis is impaired in neurodegenerative and neuropsychiatric ***’s disease(AD)is one of the most common forms of dementia affecting millions of *** dysfunction is a common symptom of AD patients and progressive memory loss has been attributed to the degeneration of the ***,there has been growing interest in identifying how hippocampal neurogenesis is affected in ***,the link between cognitive decline and changes in hippocampal neurogenesis in AD is poorly *** this review,we summarized the recent literature on AHN and its impairments in AD.

关键词： Hippocampal function Adult hippocampal neurogenesis Cognitive function Alzheimer’s disease Alzheimer’s disease animal models

Characterizing incipient motion of low fines content soils with varying compositions, water contents, and relative densities

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International Journal of Sediment Research 2022年第6期37卷 847-856页

作者： Mahsa Ghazian Arabi Ali Farhadzadeh department of Civil Engineering College of Engineering and Applied Sciences Stony Brook University

Laboratory flume experiments were conducted to quantify the effects of the soil characteristics on the critical shear stress of low fines content soil samples collected from the Montauk shores in New York. The collected soils were reconstituted at five different fines contents, ranging between 0 and 20%. These soil mixtures were composed of two initial water contents, dry of optimum and optimum moistures, and two relative densities, one moderate dense and the other dense. The strength indices of the soils, including the effective cohesion and effective angle of internal friction, were measured using the consolidated undrained(CU) triaxial test. The initiation of erosion tests was conducted on the soil mixtures under a unidirectional steady current condition. The near-bed flow velocity, at the onset of erosion, was used to determine the critical velocity and shear stress for each soil sample. The results indicate that the critical shear stress increases with the fines content and effective cohesion. The soils with the optimum initial water contents demonstrate a higher erosion resistance than those with the initial water contents dry of optimum. The higher relative density appears to overshadow the effects of the fines content such that the critical shear stress of the denser soils remains relatively insensitive to the soil composition. The denser soils compacted at the optimum initial water content show the highest resistance against *** critical Shields parameter is modified to include the fines content, relative density, and initial water content.

关键词： Soil erodibility Sediment transport Critical shear stress Initiation of motion

Some new estimates for the complex Monge-Ampère equation

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Science China mathematics 2019年第11期62卷 2073-2088页

作者： Xiuxiong Chen Jingrui Cheng department of mathematics SUNY Stony BrookStony BrookNY 11794USA Simons Center for Geometry and Physics SUNY Stony BrookStony BrookNY 11794USA

In this paper, we consider the complex Monge-Ampère equation posed on a compact Kahler manifold. We show how to get L^p(p < ∞) and L^∞ estimates for the gradient of the solution in terms of the continuity of the ri... 详细信息

关键词： complex Monge-Ampère equations gradient estimates Kahler manifold

Macro and micro issues in turbulent mixing

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Science China(Technological Sciences) 2013年第10期56卷 2355-2360页

作者： MELVIN J KAUFMAN R LIM H KAMAN T RAO P GLIMM J department of applied mathematics and Statistics Stony Brook UniversityStony Brook NY 11794 USA

Numerical prediction of turbulent mixing can be divided into two subproblems: to predict the geometrical extent of a mixing region and to predict the mixing properties on an atomic or molecular scale, within the mixing region. The former goal suffices for some purposes, while important problems of chemical reactions(e.g. flames) and nuclear reactions depend critically on the second goal in addition to the first one. Here we review recent progress in establishing a conceptual reformulation of convergence, and we illustrate these concepts with a review of recent numerical studies addressing turbulence and mixing in the high Reynolds number limit. We review significant progress on the first goal, regarding the mixing region, and initial progress on the second goal, regarding atomic level mixing properties. New results concerning non-uniqueness of the infinite Reynolds number solutions and other consequences of a renormalization group point of view, to be published in detail elsewhere, are summarized *** notion of stochastic convergence(of probability measures and probability distribution functions) replaces traditional pointwise convergence. The primary benefit of this idea is its increased stability relative to the statistical "noise" which characterizes turbulent flow. Our results also show that this modification of convergence, with sufficient mesh refinement, may not be needed. However, in practice, mesh refinement is seldom sufficient and the stochastic convergence concepts have a *** to this circle of ideas is the observation that turbulent mixing, in the limit of high Reynolds number, appears to be non-unique. Not only have multiple solutions been observed(and published) for identical problems, but simple physics based arguments and more refined arguments based on the renormalization group come to the same *** of the non-uniqueness inherent in numerical models of high Reynolds number turbulence and mixing, we also include here numeri

关键词：湍流混合数值预测高雷诺数微观宏观概率分布函数湍流输送系数混合性能

3D Printing of Ceramic Biomaterials

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Engineered Regeneration 2022年第1期3卷 41-52页

作者： Michael Ly Sarah Spinelli Shayne Hays Donghui Zhu department of Biomedical Engineering Stony Brook University100 Nicolls RdStony BrookNY 11794United States

Bioceramics are a popular class of materials used in biomedical applications due to their mechanical stability and *** exist in a variety of fields including hip joints for orthopedics,tooth fillings for dentistry,and scaffolds for tissue engineering;however,the standard processes currently used to manufacture these ce-ramic products can be time-consuming and *** response,current literature alternatively proposes additive manufacturing(3D printing)strategies to fabricate bioceramic materials in a cost-effective and efficient ***,we briefly cover five common processes and materials used in additive manufacturing bioceramics:fused deposition modeling,material jetting,binder jetting,powder bed fusion,and vat ***-thermore,we discuss the potential of these 3D printed ceramic structures when applied to different biomedical technologies such as bone tissue scaffolds and structural implants.

关键词： Extrusion Binder jetting Material jetting Powder bed fusion Vat photopolymerization

Preoperative prediction of lymph node metastasis using deep learning-based features

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Visual Computing for Industry,Biomedicine,and Art 2022年第1期5卷 88-98页

作者： Renee Cattell Jia Ying Lan Lei Jie Ding Shenglan Chen Mario Serrano Sosa Chuan Huang department of Biomedical Engineering Stony Brook UniversityNY 11794 Stony BrookUSA department of Radiation Oncology Renaissance School of MedicineStony Brook UniversityStony BrookNY 11794USA Program in Public Health Stony Brook MedicineStony BrookNY 11794USA department of Medicine Northside Hospital GwinnettGA 30046 LawrencevilleUSA department of Radiation Oncology Medical College of WisconsinMilwaukeeWI 53226USA Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China department of Radiology Renaissance School of MedicineStony Brook UniversityStony BrookNY 11794US

Lymph node involvement increases the risk of breast cancer *** accurate non-invasive assessment of nodal involvement is valuable in cancer staging,surgical risk,and cost *** has been proposed to pre-operatively predict sentinel lymph node(SLN)status;however,radiomic models are known to be sensitive to acquisition *** purpose of this study was to develop a prediction model for preoperative prediction of SLN metastasis using deep learning-based(DLB)features and compare its predictive performance to state-of-the-art ***,this study aimed to compare the generalizability of radiomics vs DLB features in an independent test set with dissimilar *** contrast-enhancement images from 198 patients(67 positive SLNs)were used in this *** these subjects,163 had an in-plane resolution of 0.7×0.7 mm^(2),which were randomly divided into a training set(approximately 67%)and a validation set(approximately 33%).The remaining 35 subjects with a different in-plane resolution(0.78×0.78 mm^(2))were treated as independent testing set for *** methods were employed:(1)conventional radiomics(CR),and(2)DLB features which replaced hand-curated features with pre-trained VGG-16 *** threshold determined using the training set was applied to the independent validation and testing *** feature reduction,feature selection,model creation procedures were used for both *** the validation set(same resolution as training),the DLB model outperformed the CR model(accuracy 83%vs 80%).Furthermore,in the independent testing set of the dissimilar resolution,the DLB model performed markedly better than the CR model(accuracy 77%vs 71%).The predictive performance of the DLB model outperformed the CR model for this *** interestingly,these improvements were seen particularly in the independent testing set of dissimilar *** could indicate that DLB features can ultimately result in a mor

关键词： Deep learning Radiomics Prediction model Lymph node metastasis Breast cancer

Cadmium sulfide as bifunctional mimics of NADH oxidase and cytochrome c reductase takes effect at physiological pH

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Nano Research 2022年第6期15卷 5256-5272页

作者： Hao Wang Jinxing Chen Qing Dong Xiuna Jia Dan Li Jin Wang Erkang Wang College of Chemistry Jilin UniversityChangchun 130012China State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China department of Chemistry and Physics State University of New York at Stony Brook Stony BrookNY 11794-3400USA

Recently,a study of mimic enzyme has received more ***,the investigation on the oxidoreductase activity of electron mediators in the biological respiratory chain is still ***,we found that cadmium sulfide(CdS)nanorods can catalyze the formation of superoxide *** to the role of the photo-generated holes and the nicotinamide adenine dinucleotide(NADH)oxidation promoted by superoxide anion(O_(2)^(•−)),the CdS exhibits NADH oxidase-like activity and can be coupled with dehydrogenase to realize the recycling of *** is worth mentioning that the bio-electron acceptor,cytochrome c(Cyt c),as a chromogenic substrate,can accept electrons transferred from O_(2)^(•−),which demonstrates the Cyt c reductase-like activity of CdS under physiological pH *** different substrates,O_(2)^(•−)induced from CdS show oxidizing capacity for NADH and reducing capacity for Cyt c,which provides a new perspective for the in-depth study of new nanozyme.

关键词： cytochrome c reductase nicotinamide adenine dinucleotide(NADH)oxidase superoxide anions enzyme mimic cadmium sulfide

A data-driven machine learning approach for yaw control applications of wind farms

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Theoretical & applied Mechanics Letters 2023年第5期13卷 341-352页

作者： Christian Santoni Zexia Zhang Fotis Sotiropoulos Ali Khosronejad department of Civil Engineering Stony Brook UniversityStony BrookNY 11794United States Mechanical and Nuclear Engineering Virginia Commonwealth UniversityVA 23284United States

This study proposes a cost-effective machine-learning based model for predicting velocity and turbulence kineticenergy fields in the wake of wind turbines for yaw control *** model consists of an auto-encoderconvolutional neural network(ACNN)trained to extract the features of turbine wakes using instantaneous datafrom large-eddy simulation(LES).The proposed framework is demonstrated by applying it to the Sandia NationalLaboratory Scaled Wind Farm Technology facility consisting of three 225 kW *** of this site is performedfor different wind speeds and yaw angles to generate datasets for training and validating the proposed *** is shown that the ACNN accurately predicts turbine wake characteristics for cases with turbine yaw angleand wind speed that were not part of the training ***,the ACNN is shown to reproduce thewake redirection of the upstream turbine and the secondary wake steering of the downstream turbine *** to the brute-force LES,the ACNN developed herein is shown to reduce the overall computational costrequired to obtain the steady state first and second-order statistics of the wind farm by about 85%.

关键词： Wind energy Machine learning Yaw controlLarge eddy simulations Convolutional neural networks