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Additive manufacturing of micropatterned functional surfaces:a review

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International Journal of Extreme Manufacturing 2024年第4期6卷 86-114页

作者： Aditya Chivate Chi Zhou Department of Industrial and Systems Engineering University at BuffaloThe State University of New YorkBuffaloNY 14260United States of America

Over the course of millions of years,nature has evolved to ensure survival and presents us with a myriad of functional surfaces and structures that can boast high efficiency,multifunctionality,and *** makes these surfaces particularly practical and effective is the intricate micropatterning that enables selective interactions with *** of these structures have been realized in the laboratory environment using numerous fabrication techniques by tailoring specific surface *** the available manufacturing methods,additive manufacturing(AM)has created opportunities for fabricating these structures as the complex architectures of the naturally occurring microstructures far exceed the traditional *** paper presents a concise overview of the fundamentals of such patterned microstructured surfaces,their fabrication techniques,and diverse applications.A comprehensive evaluation of micro fabrication methods is conducted,delving into their respective strengths and *** emphasis is placed on AM processes like inkjet printing and micro digital light projection printing due to the intrinsic advantages of these processes to additively fabricate high resolution structures with high fidelity and *** paper explores the various advancements in these processes in relation to their use in microfabrication and also presents the recent trends in applications like the fabrication of microlens arrays,microneedles,and tissue scaffolds.

关键词： additive manufacturing micropatterned surfaces drop-on-demand inkjet DLP printing

Indispensable gutter layers in thin-film composite membranes for carbon capture

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Green Energy & Environment 2024年第8期9卷 1220-1238页

作者： Gengyi Zhang Haiqing Lin Department of Chemical and Biological Engineering University at Buffalo The State University at New York

Industrial thin-film composite(TFC) membranes achieve superior gas separation properties from high-performance selective layer materials,while the success of membrane technology relies on high-performance gutter layers to achieve production scalability and low-cost manufacturing. However, the current literature predominantly focuses on the design of polymer architectures to obtain high permeability and selectivity, while the art of fabricating gutter layers is usually safeguarded by industrial manufacturers and appears lackluster to academic researchers. This is the first report aiming to provide a comprehensive and critical review of state-of-the-art gutter layer materials and their design and modification to enable TFC membranes with superior separation performance. We first elucidate the importance of the gutter layer on membrane performance through modeling and experimental results. Then various gutter layer materials used to obtain high-performance composite membranes are critically reviewed, and the strategies to improve their compatibility with the selective layer are highlighted, such as oxygen plasma treatment, polydopamine deposition, and surface grafting. Finally, we present the opportunities of the gutter layer design for practical applications.

关键词： Thin-film composite membranes Gutter layer Gas separation Carbon capture

An empirical model for high energy density lithium-(ion)batteries with ultra-thick electrodes

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Tungsten 2024年第1期6卷 230-237页

作者： Li-Ming Jin Guang-Guang Xing Nan Qin Yan-Yan Lu Jun-Sheng Zheng Cun-Man Zhang Jim P.Zheng School of Automotive Studies and Clean Energy Automotive Engineering Center Tongji UniversityShanghai 201804China Department of Electrical Engineering University at BuffaloThe State University of New YorkBuffaloNY 14260USA

Increasing the electrode thickness is a significant method to decrease the weight and volume ratio of the inactive components for high energy density of the *** this contribution,we extracted a repeating unit in the configurations and establish the empirical energy density model based on some *** this model,the effects of the electrode thickness on the energy density for lithium-ion batteries(LIBs),lithium metal batteries(LMBs),and anode-free lithium batteries(ALBs)are evaluated quantitively with the current parameters of the *** results demonstrate that the structure evolutions from LIBs,LMBs to ALBs with the reduction of the anode weight contribution,the energy density can be well improved *** the increase of the thickness of the electrode provide another route to furthe r enhance the energydensity by decreasing the weight contribution of inactive materials;meanwhile the effects for ALBs are higher than LMBs and LIBs due to the higher weight ratio of inactive *** empirical energy density model is also applied into the practical system and provide intuitional results to guide the battery design for higher energy density.

关键词： Empirical model High energy density Lithium batteries Ultra-thick electrodes

Alpha-synuclein in mitochondrial dysfunction:opportunities or obstacles

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Neural Regeneration Research 2025年第1期20卷 197-198页

作者： Shermali Gunawardena Department of Biological Sciences The State University of New York at BuffaloBuffaloNYUSA

Recent work suggests a link betweenα-synuclein(α-syn)and mitochondrial dysfunction;however,the mechanisms of howα-syn influences mitochondrial function are still *** notably,whetherα-syn plays a direct role during mitochondrial function and/or whether diseasedα-syn-mediated mitochondrial dysfunction is a potential modifiable risk factor in Parkinson’s disease(PD)is *** date,mutations in more than eight genes cause familial PD(fPD)and have functions in diverse pathways including synaptic homeostasis,mitochondria maintenance,autophagy/lysosome,and ubiquitin-proteasome pathways.

关键词： dysfunction homeostasis Alpha

An audio‐based risky flight detection framework for quadrotors

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IET Cyber-Systems and Robotics 2024年第1期6卷 1-14页

作者： Wansong Liu Chang Liu Seyedomid Sajedi Hao Su Xiao Liang Minghui Zheng Department of Mechanical and Aerospace Engineering University at BuffaloBuffaloNew YorkUSA Department of Civil Structural and Environmental EngineeringUniversity at BuffaloBuffaloNew YorkUSA Department of Mechanical and Aerospace Engineering North Carolina State UniversityRaleighNorth CarolinaUSA

Drones have increasingly collaborated with human workers in some workspaces,such as *** failure of a drone flight may bring potential risks to human beings'life safety during some aerial *** of the most common flight failures is triggered by damaged *** quickly detect physical damage to propellers,recognise risky flights,and provide early warnings to surrounding human workers,a new and compre-hensive fault diagnosis framework is presented that uses only the audio caused by pro-peller rotation without accessing any flight *** diagnosis framework includes three components:leverage convolutional neural networks,transfer learning,and Bayesian ***,the audio signal from an actual flight is collected and trans-ferred into time–frequency ***,a convolutional neural network‐based diagnosis model that utilises these spectrograms is developed to identify whether there is any broken propeller involved in a specific drone ***,the authors employ Monte Carlo dropout sampling to obtain the inconsistency of diagnostic results and compute the mean probability score vector's entropy(uncertainty)as another factor to diagnose the drone ***,to reduce data dependence on different drone types,the convolutional neural network‐based diagnosis model is further augmented by transfer *** is,the knowledge of a well‐trained diagnosis model is refined by using a small set of data from a different *** modified diagnosis model has the ability to detect the broken propeller of the second ***,to reduce the hyperparameters'tuning efforts and reinforce the robustness of the network,Bayesian optimisation takes advantage of the observed diagnosis model performances to construct a Gaussian pro-cess model that allows the acquisition function to choose the optimal network *** proposed diagnosis framework is validated via real experimental flight tests and has a reasonably hig

关键词： aerial robotics deep learning flying robots propeller diagnosis

Pathological and Physiological High-frequency Oscillations on Electroencephalography in Patients with Epilepsy

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Neuroscience Bulletin 2024年第5期40卷 609-620页

作者： Hongyi Ye Cong Chen Shennan A.Weiss Shuang Wang Department of Neurology Epilepsy CenterSecond Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhou310009China Department of Neurology State University of New York DownstateBrooklynNY11203USA Department of Physiology and Pharmacology State University of New York DownstateBrooklynNY11203USA Department of Neurology New York City Health+Hospitals/Kings CountyBrooklynNY11203USA

High-frequency oscillations(HFOs)encompass ripples(80 Hz–200 Hz)and fast ripples(200 Hz–600 Hz),serving as a promising biomarker for localizing the epileptogenic zone in *** fast ripples are always pathological,while ripples may be physiological or *** physiological from pathological ripples is important not only for designating epileptogenic brain regions,but also for investigations that study ripples in the context of memory encoding,consolidation,and recall in patients with *** studies have sought to identify distinguishing features between pathological and physiological ripples over the past two *** and pathological ripples differ with respect to their spatial location,cellular mechanisms,morphology,and coupling with background electroencephalographic *** studies have demonstrated that differentiating between pathological and physiological ripples can improve surgical outcome *** this review,we summarize the characteristics,differences,and applications of pathological and physiological HFOs and discuss strategies for their clinical translation.

关键词： Ripples Epilepsy Memory Sleep Surgical outcome

Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy

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Big Data Mining and Analytics 2024年第1期7卷 131-141页

作者： Renwu Yan Yang Zheng Ning Yu Cen Liang School of Electronic Electrical Engineering and PhysicsFujian University of TechnologyFuzhou 350118China Department of Computing Sciences at The College at Brockport State University of New YorkNew YorkNY 14420USA

Under the general trend of the rapid development of smart grids,data security and privacy are facing serious challenges;protecting the privacy data of single users under the premise of obtaining user-aggregated data has attracted widespread *** this study,we propose an encryption scheme on the basis of differential privacy for the problem of user privacy leakage when aggregating data from multiple smart ***,we use an improved homomorphic encryption method to realize the encryption aggregation of users’***,we propose a double-blind noise addition protocol to generate distributed noise through interaction between users and a cloud platform to prevent semi-honest participants from stealing data by colluding with one ***,the simulation results show that the proposed scheme can encrypt the transmission of multi-intelligent meter data under the premise of satisfying the differential privacy *** if an attacker has enough background knowledge,the security of the electricity information of one another can be ensured.

关键词： smart grid homomorphic encryption data aggregation differential privacy cloud computing

Dietary pyruvate targets cytosolic phospholipase A2 to mitigate inflammation and obesity in mice

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Protein & Cell 2024年第9期15卷 661-685页

作者： Sadaf Hasan Nabil Ghani Xiangli Zhao Julia Good Amanda Huang Hailey Lynn Wrona Jody Liu Chuan-ju Liu Department of Orthopedic Surgery New York University Grossman School of MedicineNew YorkNY 10016United States Department of Medicine Division of Internal MedicineSaint Peter’s University HospitalRutgers UniversityNew BrunswickNJ 08901United States Cornell university IthacaNew YorkNYUnited States Department of Biomedical Engineering University of North Carolina Chapel HillChapel HillNC 27599United States new york university NY 14853United States Department of Cell Biology New York University Grossman School of MedicineNew YorkNY 10016United States Department of Orthopedics&Rehabilitation Yale University School of MedicineNew HavenCT 06510United States

Obesity has a multifactorial etiology and is known to be a state of chronic low-grade inflammation,known as *** state is associated with the development of metabolic disorders such as glucose intolerance and nonalcoholic fatty liver *** is a glycolytic metabolite and a crucial node in various metabolic ***,its role and molecular mechanism in obesity and associated complications are *** this study,we reported that pyruvate substantially inhibited adipogenic differentiation in vitro and its administration significantly prevented HFD-induced weight gain,white adipose tissue inflammation,and metabolic *** identify the target proteins of pyruvate,drug affinity responsive target stability was employed with proteomics,cellular thermal shift assay,and isothermal drug response to detect the interactions between pyruvate and its molecular ***,we identified cytosolic phospholipase A2(cPLA2)as a novel molecular target of pyruvate and demonstrated that pyruvate restrained diet-induced obesity,white adipose tissue inflammation,and hepatic steatosis in a cPLA2-dependent *** with global ablation of cPLA2 in mice showed that the protective effects of pyruvate were largely abrogated,confirming the importance of pyruvate/cPLA2 interaction in pyruvate attenuation of inflammation and ***,our study not only establishes pyruvate as an antagonist of cPLA2 signaling and a potential therapeutic option for obesity but it also sheds light on the mechanism of its ***’s prior clinical use indicates that it can be considered a safe and viable alternative for obesity,whether consumed as a dietary supplement or as part of a regular diet.

关键词： metabolic disease pyruvate cytosolic phospholipase obesity

new Results in Cooperative Adaptive Optimal Output Regulation

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Journal of Systems Science & Complexity 2024年第1期37卷 253-272页

作者： DONG Yuchen GAO Weinan JIANG Zhong-Ping state Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819China Department of Electrical and Computer Engineering Tandon School of EngineeringNew York UniversityBrooklynNY 11201USA

This paper investigates the cooperative adaptive optimal output regulation problem of continuous-time linear multi-agent *** the multi-agent system dynamics are uncertain,solving regulator equations and the corresponding algebraic Riccati equations is challenging,especially for high-order *** this paper,a novel method is proposed to approximate the solution of regulator equations,i.e.,gradient descent *** is worth noting that this method obtains gradients through online data rather than model information.A data-driven distributed adaptive suboptimal controller is developed by adaptive dynamic programming,so that each follower can achieve asymptotic tracking and disturbance ***,the effectiveness of the proposed control method is validated by simulations.

关键词： Adaptive dynamic programming cooperative output regulation gradient descent method multi-agent systems.