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Comparative utility of vestibular function tests in patients with peripheral and central vestibular dysfunction

Journal of Otology 2024年第1期19卷 5-9页

作者： Cameron B.fattahi Christopher Zaro Janice J.Chung richard f.lewis Divya A.Chari Department of Otolaryngology-Head and Neck Surgery UMASS Memorial Medical CenterUniversity of Massachusetts Chan Medical SchoolWorcesterMAUSA Jenks Vestibular Physiology Laboratory Massachusetts Eye and EarBostonMAUSA Department of Otolaryngology-Head and Neck Surgery Massachusetts Eye and EarHarvard Medical SchoolBostonMAUSA Department of Neurology Harvard Medical SchoolBostonMAUSA

Background: Bithermal caloric irrigation, video head impulse test(vHIT), and rotational testing are commonly used to assess peripheral vestibular function, but the relative clinical utility of each test in differentiating patients with peripheral vestibulopathy is ***: To determine whether(1) the combination of two or more vestibular tests enhances diagnostic utility over a single test;(2) abnormal test results on vestibular tests correlate with one ***: Retrospective analysis of data collected from multidisciplinary vestibular clinics at two academic medical centers from 2016 to ***: 150 patients(54.10 ± 15.09 years, 88 females) were included. No individual test was significantly better at predicting the presence of peripheral vestibular damage(p > 0.05). vHIT test results improved significantly when combined with either the caloric test(p = 0.007) or rotary chair test(p = 0.039). Caloric and rotational testing had high sensitivity(74.65% and 76.06%, respectively) and specificity(83.54% and 78.48%, respectively). vHIT demonstrated excellent specificity(89.87%) but poor sensitivity(47.89%). Caloric, vHIT, and rotary chair tests results did not correlate with one another(p > 0.05).Conclusions: Vestibular function tests have comparable diagnostic utility, yet each offers unique advantages. Caloric and rotational testing may be best suited for screening peripheral damage and vHIT may function ideally as a confirmatory test.

关键词： vestibular patients specificity

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Parameter-free Shifted Laplacian Reconstruction for Multiple Kernel Clustering

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 1072-1074页

作者： Xi Wu Zhenwen Ren f.richard Yu the School of National Defence Science and Technology Southwest University of Science and TechnologyMianyang 621010China the School of National Defence Science and Technology Southwest University of Science and TechnologyMianyang 621010 the Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou UniversityWuzhou 543002 the Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ) Shenzhen 518060China

Dear Editor,This letter proposes a parameter-free multiple kernel clustering(MKC)method by using shifted Laplacian *** MKC can effectively cluster nonlinear data,but it faces two main challenges:1)As an unsupervised method,it is up against parameter problems which makes the parameters intractable to tune and is unfeasible in real-life applications;2)Only considers the clustering information,but ignores the interference of noise within Laplacian.

关键词： parameter letter Parameter

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Guaranteed Cost Attitude Tracking Control for Uncertain Quadrotor Unmanned Aerial Vehicle Under Safety Constraints

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1447-1457页

作者： Qian Ma Peng Jin frank L.lewis School of Automation Nanjing University of Science and TechnologyNanjing 210094China UTA Research Institute University of Texas at ArlingtonFort WorthTexas 76118 USA IEEE

In this paper,guaranteed cost attitude tracking con-trol for uncertain quadrotor unmanned aerial vehicle(QUAV)under safety constraints is ***,an augmented system is constructed by the tracking error system and reference *** transformation aims to convert the tracking control prob-lem into a stabilization control ***,control barrier function and disturbance attenuation function are designed to characterize the violations of safety constraints and tolerance of uncertain disturbances,and they are incorporated into the reward function as penalty *** on the modified reward function,the problem is simplified as the optimal regulation problem of the nominal augmented system,and a new Hamilton-Jacobi-Bellman equation is ***,critic-only rein-forcement learning algorithm with a concurrent learning tech-nique is employed to solve the Hamilton-Jacobi-Bellman equa-tion and obtain the optimal *** proposed algorithm can not only ensure the reward function within an upper bound in the presence of uncertain disturbances,but also enforce safety *** performance of the algorithm is evaluated by the numerical simulation.

关键词： Attitude tracking control quadrotor unmanned aerial vehicle(QUAV) reinforcement learning safety constraints uncertain disturbances.

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Error-based adaptive optimal tracking control of nonlinear discrete-time systems

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Science China(Information Sciences) 2024年第1期67卷 154-167页

作者： Chun LI Jinliang DING frank L.lewis Tianyou CHAI State Key Laboratory of Synthetical Automation for Process Industries Northeastern University UTA Research Institute The University of Texas at Arlington

In this paper,for the output tracking problem of nonlinear discrete-time systems,a performance index is newly defined using the adaptive dynamic programming(ADP) technique to completely eliminate tracking errors in *** contrast to traditional definitions of performance indices in other ADP-based methods,the proposed performance index is not only designed from the perspective of output tracking errors but also introduced errors of system states and control inputs at adjacent stages,which is suitable for practical situations in many industrial applications,such as the alumina production,the flotation process,and the mineral grinding *** proved that the obtained controller can make the system output fully track the given reference trajectory by applying the iterative criteria of the ADP *** addition,the proposed algorithm was implemented using a data-driven technique and neural networks to avoid analyzing and deducing the complicated dynamics of actual industrial ***,using historical data for a forced-circulation evaporation system in the alumina production process,the effect of the proposed approach was verified through a numerical simulation and compared with that of the proportional-integral controller.

关键词： adaptive dynamic programming iterative criteria performance index tracking errors tracking problem

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Control Policy Learning Design for Vehicle Urban Positioning via BeiDou Navigation

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Journal of Systems Science & Complexity 2024年第1期37卷 114-135页

作者： QIN Yahang ZHANG Chengye CHEN Ci XIE Shengli lewis frank L School of Automation Guangdong University of TechnologyGuangzhou 510006China Guangdong Key Laboratory of IoT Information Technology Guangzhou 510006China. Center for Intelligent Batch Manufacturing Based on IoT Technology Key Laboratory of Intelligent Detection and The Internet of Things in Manufacturing Ministry of EducationGuangzhou 510006China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou 510006China Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of EducationGuangzhou 510006China. UTA Research Institute The University of Texas at ArlingtonFort WorthTX 76019USA

This paper presents a learning-based control policy design for point-to-point vehicle positioning in the urban environment via BeiDou *** navigating in urban canyons,the multipath effect is a kind of interference that causes the navigation signal to drift and thus imposes severe impacts on vehicle localization due to the reflection and diffraction of the BeiDou ***,the authors formulated the navigation control system with unknown vehicle dynamics into an optimal control-seeking problem through a linear discrete-time system,and the point-to-point localization control is modeled and handled by leveraging off-policy reinforcement learning for feedback *** proposed learning-based design guarantees optimality with prescribed performance and also stabilizes the closed-loop navigation system,without the full knowledge of the vehicle *** is seen that the proposed method can withstand the impact of the multipath effect while satisfying the prescribed convergence rate.A case study demonstrates that the proposed algorithms effectively drive the vehicle to a desired setpoint under the multipath effect introduced by actual experiments of BeiDou navigation in the urban environment.

关键词： BeiDou navigation multipath effect prescribed convergence rate reinforcement learning urban localization.

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Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 18-36页

作者： Ding Wang Ning Gao Derong Liu Jinna Li frank L.lewis IEEE the faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing Laboratory of Smart Environmental Protectionand Beijing Institute of Artificial IntelligenceBeijing University of TechnologyBeijing 100124China the School of System Design and Intelligent Manufacturing Southern University of Science and TechnologyShenzhen 518055China the Department of Electrical and Computer Engineering University of Illinois at ChicagoChicago IL 60607 USA the School of Information and Control Engineering Liaoning Petrochemical UniversityFushun 113001China the UTA Research Institute the University of Texas at ArlingtonArlington TX 76118 USA

Reinforcement learning(RL) has roots in dynamic programming and it is called adaptive/approximate dynamic programming(ADP) within the control community. This paper reviews recent developments in ADP along with RL and its applications to various advanced control fields. first, the background of the development of ADP is described, emphasizing the significance of regulation and tracking control problems. Some effective offline and online algorithms for ADP/adaptive critic control are displayed, where the main results towards discrete-time systems and continuous-time systems are surveyed, ***, the research progress on adaptive critic control based on the event-triggered framework and under uncertain environment is discussed, respectively, where event-based design, robust stabilization, and game design are reviewed. Moreover, the extensions of ADP for addressing control problems under complex environment attract enormous attention. The ADP architecture is revisited under the perspective of data-driven and RL frameworks,showing how they promote ADP formulation ***, several typical control applications with respect to RL and ADP are summarized, particularly in the fields of wastewater treatment processes and power systems, followed by some general prospects for future research. Overall, the comprehensive survey on ADP and RL for advanced control applications has d emonstrated its remarkable potential within the artificial intelligence era. In addition, it also plays a vital role in promoting environmental protection and industrial intelligence.

关键词： Adaptive dynamic programming(ADP) advanced control complex environment data-driven control event-triggered design intelligent control neural networks nonlinear systems optimal control reinforcement learning(RL)

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RecBERT:Semantic recommendation engine with large language model enhanced query segmentation for k-nearest neighbors ranking retrieval

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Intelligent and Converged Networks 2024年第1期5卷 42-52页

作者： richard Wu the Dublin Unified School District and the Sf Artificial Intelligence Club DublinCA 94568USA

The increasing amount of user traffic on Internet discussion forums has led to a huge amount of unstructured natural language data in the form of user *** modern recommendation systems rely on manual tagging,relying on administrators to label the features of a class,or story,which a user comment corresponds *** common approach is to use pre-trained word embeddings to compare class descriptions for textual similarity,then use a distance metric such as cosine similarity or Euclidean distance to find top k ***,neither approach is able to fully utilize this user-generated unstructured natural language data,reducing the scope of these recommendation *** paper studies the application of domain adaptation on a transformer for the set of user comments to be indexed,and the use of simple contrastive learning for the sentence transformer fine-tuning process to generate meaningful semantic embeddings for the various user comments that apply to each *** order to match a query containing content from multiple user comments belonging to the same class,the construction of a subquery channel for computing class-level similarity is *** channel uses query segmentation of the aggregate query into subqueries,performing k-nearest neighbors(KNN)search on each individual *** achieves state-of-the-art performance,outperforming other state-of-the-art models in accuracy,precision,recall,and f1 score for classifying comments between four and eight classes,*** outperforms the most precise state-of-the-art model(distilRoBERTa)in precision by 6.97%for matching comments between eight classes.

关键词： sentence transformer simple contrastive learning large language models query segmentation k-nearest neighbors

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Out-of-Equilibrium Assembly Based on Host-Guest Interactions

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CCS Chemistry 2024年第1期6卷 27-40页

作者： Guotai Li Reece W.lewis Rienk Eelkema School of Rehabilitation Sciences and Engineering University of Health and Rehabilitation SciencesQingdao 266071 Department of Chemical Engineering Delft University of Technology2629 HZ Delft

The field of supramolecular chemistry is rapidly progressing,transitioning from the creation of thermodynamically stable systems found in local or global minima on the free energy landscape to the development of out-of-equilibrium systems that rely on chemical reactions to establish and maintain their *** the past decade,numerous artificial out-of-equilibrium systems have been devised in various domains of supramolecular chemistry,many of which have been extensively ***,one area that has received limited attention thus far is the use of out-of-equilibrium processes to regulate host-guest *** minireview aims to address this gap by exploring the construction of out-ofequilibrium systems based on host-guest complexation,which likely employs similar strategies to those employed in analogous noncovalent *** review begins with a summary of these shared ***,it discusses representative publications that exemplify these strategies and classifies thembased onwhich component is being modulated-host,guest,or competitive *** this examination,our objective is to shed light on the design of out-of-equilibrium systems relying on host-guest interactions and provide valuable insights into the preparation strategies for various transient materials.

关键词： out-of-equilibrium host-guest chemistry self-assembly supramolecular materials chemical fuel

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胰岛素对昆虫病原线虫生长发育、生殖力及致病力的影响

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中国生物防治学报 2024年第4期 856-865页

作者：钱秀娟孙丹臧建成 Edwin E.lewis 甘肃农业大学植物保护学院/甘肃省农作物病虫害生物防治工程实验室西藏农牧学院植物科学学院美国爱达荷大学农业与生命科学学院昆虫学植物病理学及线虫学系

昆虫病原线虫是一种极具潜力的生防因子，因其高效的杀虫特性而受到国际生防界的广泛关注，胰岛素作为一种蛋白质多肽，已被证实对昆虫、线虫等的生长发育、寿命均有重要调控作用。为了明确胰岛素对昆虫病原线虫的影响，本试验通过对经... 详细信息

昆虫病原线虫是一种极具潜力的生防因子，因其高效的杀虫特性而受到国际生防界的广泛关注，胰岛素作为一种蛋白质多肽，已被证实对昆虫、线虫等的生长发育、寿命均有重要调控作用。为了明确胰岛素对昆虫病原线虫的影响，本试验通过对经卡森斯氏线虫Steinernemakraussei0657L和短尾异小杆线虫Heterorhabditisbrevicaudis0641TY侵染的大蜡螟Galleriamellonella注射不同浓度胰岛素，观测昆虫病原线虫的生活史及其对大蜡螟的致病力，以明确胰岛素对昆虫病原线虫生长发育、生殖力、致病力的影响。结果表明：胰岛素干预时间和干预浓度均可对卡森斯氏线虫0657L在寄主昆虫体内的生长发育产生影响，侵染当天（t）干预和高浓度（1:500）干预，会明显缩短其发育历期；侵染当天无论是高浓度还是低浓度的胰岛素干预，均会明显缩短短尾异小杆线虫0641TY的发育历期，且相比较卡森斯氏线虫0657L，胰岛素促进短尾异小杆线虫0641TY发育历期的效果更明显。在卡森斯氏线虫0657L侵染大蜡螟10 d后，注射低浓度的胰岛素，可显著提高其生殖力；在短尾异小杆线虫0641TY侵染大蜡螟1d后，注射低浓度的胰岛素，可显著提高其生殖力。胰岛素对卡森斯氏线虫0657L致病力有影响，在24 h内高浓度胰岛素可显著缩短寄主昆虫的死亡时间，但是侵染36 h后，各处理间差异不显著；而对短尾异小杆线虫0641TY致病力无影响。综上所述，胰岛素对卡森斯氏线虫0657L和短尾异小杆线虫0641TY的发育和生殖力均有影响，且对卡森斯氏线虫致病力有影响。

关键词：胰岛素昆虫病原线虫生长发育生殖力致病力

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Improving the hydrostability of zeolitic imidazolate framework coatings using a facile silk fibroin protein modification method

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Nano Research 2024年第7期17卷 6247-6257页

作者： Xiuming Wei Ting Chen Siyu Chen Qian Jia Nurul Ain Mazlan Allana lewis Norbert Radacsi Yi Huang School of Engineering Institute for Materials&ProcessesThe University of EdinburghRobert Stevenson RoadEdinburghEH93FBUK EASTCHEM School of Chemistry The University of St AndrewsPurdie BuildingNorth HaughSt AndrewsKY169STUK

Zeolitic imidazolate frameworks(ZIfs)are an important subclass of metal-organic frameworks(MOfs)with zeolite-type topology,which can be fabricated under ambient synthesis ***,the applications of ZIfs are commonly limited due to the weak hydrostability of their metal–ligand coordination bonds,particularly under humid and aqueous *** this work,as an example,the hydrolysis behaviours of ZIf-L with a special focus on ZIf-L coatings were tested at aqueous conditions with a wide range of pHs to systematically study and fundamentally understand their structural stability and degradation *** ZIf-L powder and ZIf-L coatings were severely damaged after only 24 h in aqueous ***,the ZIf-L coatings showed two distinct hydrolyzation pathways regardless of pH conditions,exhibiting either a ring-shaped etching or unfolding *** the ZIf-L powders were hydrolyzed almost identically across all pH *** this new understanding,a facile silk fibroin(Sf)protein modification method was developed to enhance the hydrostability of ZIf-L coatings in aqueous *** effect of protein concentration on surface coating was systemically ***-L coating retained its surface morphology after soaking in water and demonstrated switchable super wetting properties and superior separation performance for oil/water *** a result,the quick Sf protein modification significantly enhanced the stability of ZIf-L coatings under various pHs,while retaining their switchable wetting property and excellent separation performance.

关键词： zeolitic imidazole framework-L(ZIf-L) ZIf-L coatings silk fibroin protein hydrostability enhancement oil/water separation

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