检索结果-南通市图书馆

Hepatocellular Carcinoma Incidence and Mortality in the USA by Sex, Age, and Race: A Nationwide Analysis of Two Decades

引用

Journal of Clinical and Translational Hepatology 2024年第2期12卷 172-181页

作者： Yazan Abboud Mohamed Ismail hamza khan Esli Medina-Morales Saqr Alsakarneh Fouad Jaber Nikolaos T.Pyrsopoulos Department of Internal Medicine Rutgers New Jersey Medical SchoolNewarkNJUSA Department of Internal Medicine University of Missouri-Kansas CityKansas CityMOUSA Division of Gastroenterology and Hepatology Rutgers New Jersey Medical SchoolNewarkNJUSA

Background and Aims:While the incidence rates of hepa-tocellular carcinoma(HCC)are increasing,there are limited comprehensive data on demographic-specific incidence and mortality trends in the *** aimed to evaluate recent trends in HCC incidence and mortality among different de-mographic groups in the ***:Age-adjusted HCC incidence rates were calculated from the Centers for Disease Control's United States Cancer Statistics database,which combines incidence data on newly diagnosed cancer cases and covers approximately 98%of the population in the ***,age-adjusted HCC mortality rates were obtained from the Centers for Disease Control's National Center for Health Statistics database,which offers comprehensive Cov-erage spanning nearly 100%of deaths attributed to HCC in the *** were stratified by sex,age(older[≥55 years]and younger[<55 years]adults),race and ethnicity(Non-Hispanic White,Non-Hispanic Black,Hispanic,Non-Hispanic Asian/Pacific Islander,and Non-Hispanic American Indian/Alaska Native),and tumor stage at diagnosis(early and late).Annual and average annual percentage change(AAPC)were calculated using joinpoint regression.A sex-specific pairwise comparison was ***:Between 2001 and 2020,there were 467,346 patients diagnosed with HCC(26.0%women),with increasing incidence in both sexes without significant difference(p=0.65).In younger adults(78,169 patients),the incidence decreased in men but not in women(AAPC difference=-2.39,p=0.002).This was seen in various racial and ethnic groups,mostly driven by early-stage tumors(AAPC difference=-2.65,p=0.02).There were 329,973 deaths attributed to HCC between 2000 and 2020(28.4%women).In younger adults(43,093 deaths),mortal-ity decreased in men at a greater rate than in women(AAPC difference=1.61,p=0.007).This was seen in various racial and ethnic groups,most notably in non-Hispanic American Indian/Alaska Natives(AAPC difference=-4.51,p=0.01).Conclusions:Nationwide USA data,coveri

关键词： Liver cancer Hepatocellular carcinoma Incidence Mortality Epidemiology Health disparity

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Tracking control of redundant manipulator under active remote center-of-motion constraints: an RNN-based metaheuristic approach

引用

Science China(Information Sciences) 2021年第3期64卷 149-166页

作者： Ameer hamza khan Shuai LI Xinwei CAO Department of Computing Hong Kong Polytechnic University Department of Electronics and Electrical Engineering Swansea University School of Management Shanghai University

In this paper, we propose a recurrent neural network(RNN) for the tracking control of surgical robots while satisfying remote center-of-motion(RCM) constraints. RCM constraints enforce rules suggesting that the surgical tip should not go beyond the region of incision while tracking the commands of the *** of RCM constraints can result in serious injury to the patient. We unify the RCM constraints with the tracing control by formulating a single constrained optimization problem using a penalty-term *** penalty-term actively rewards the optimizer for satisfying the RCM constraints. We then propose an RNN-based metaheuristic optimization algorithm called "Beetle Antennae Olfactory Recurrent Neural Network(BAORNN)" for solving the formulated optimization problem in real time. The proposed control framework can track the surgeon’s commands and satisfy the RCM constraints simultaneously. Theoretical analysis is performed to demonstrate the stability and convergence of the BAORNN algorithm. Simulations using LBR IIWA14, a 7-degree-of-freedom robotic arm, are performed to analyze the performance of the proposed framework.

关键词： tracking control surgical robots RCM constraints metaheuristic optimization recurrent neural network RNN redundant manipulator

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Hypoxia inducible factor-1 alpha stabilization for regenerative therapy in traumatic brain injury

引用

Neural Regeneration Research 2017年第5期12卷 696-701页

作者： Mushfiquddin khan hamza khan Inderjit Singh Avtar K.Singh Department of Pediatrics Medical University of South Carolina Charleston SC USA College of Medicine University of South Carolina Columbia SC USA Department of Pathology and Laboratory Medicine Medical University of South Carolina Charleston SC USA Ralph H. Johnson VA Medical Center Charleston SC USA

Mild traumatic brain injury（TBI）, also called concussion, initiates sequelae leading to motor deficits, cognitive impairments and subtly compromised neurobehaviors. While the acute phase of TBI is associated with neuroinflammation and nitroxidative burst, the chronic phase shows a lack of stimulation of the neurorepair process and regeneration. The deficiency of nitric oxide（NO）, the consequent disturbed NO metabolome, and imbalanced mechanisms of S-nitrosylation are implicated in blocking the mechanisms of neurorepair processes and functional recovery in the both phases. Hypoxia inducible factor-1 alpha（HIF-1α）, a master regulator of hypoxia/ischemia, stimulates the process of neurorepair and thus aids in functional recovery after brain trauma. The activity of HIF-1α is regulated by NO via the mechanism of S-nitrosylation of HIF-1α. S-nitrosylation is dynamically regulated by NO metabolites such as S-nitrosoglutathione（GSNO） and peroxynitrite. GSNO stabilizes, and peroxynitrite destabilizes HIF-1α. Exogenously administered GSNO was found not only to stabilize HIF-1α and to induce HIF-1α-dependent genes but also to stimulate the regeneration process and to aid in functional recovery in TBI animals.

关键词： traumatic brain injury hypoxia inducible factor-1 alpha S-nitrosoglutathione neurorepair functional recovery

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Which is the Best PID Variant for Pneumatic Soft Robots?An Experimental Study

引用

IEEE/CAA Journal of Automatica Sinica 2020年第2期7卷 451-460页

作者： Ameer hamza khan Zili Shao Shuai Li Qixin Wang Nan Guan Department of Computing Hong Kong Polytechnic UniversityHong KongChina Department of Computer Science and Engineering Chinese University of Hong KongHong KongChina Department of Electronics and Electrical Engineering Swansea UniversitySwansea SA18ENUK

This paper presents an experimental study to compare the performance of model-free control strategies for pneumatic soft *** using soft materials,soft robots have gained much attention in academia and industry during recent years because of their inherent safety in human ***,due to structural flexibility and compliance,mathematical models for these soft robots are nonlinear with an infinite degree of freedom(DOF).Therefore,accurate position(or orientation)control and optimization of their dynamic response remains a challenging *** existing soft robots currently employed in industrial and rehabilitation applications use model-free control algorithms such as ***,to the best of our knowledge,there has been no systematic study on the comparative performance of model-free control algorithms and their ability to optimize dynamic response,i.e.,reduce overshoot and settling *** this paper,we present comparative performance of several variants of model-free PID-controllers based on extensive experimental ***,most of the existing work on modelfree control in pneumatic soft-robotic literature use manually tuned parameters,which is a time-consuming,labor-intensive *** present a heuristic-based coordinate descent algorithm to tune the controller parameter *** presented results for both manual tuning and automatic tuning using the Ziegler-Nichols method and proposed algorithm,*** then used experimental results to statistically demonstrate that the presented automatic tuning algorithm results in high *** experiment results show that for soft robots,the PID-controller essentially reduces to the PI *** behavior was observed in both manual and automatic tuning experiments;we also discussed a rationale for removing the derivative term.

关键词： Automatic tuning algorithm model-free control PID soft robotics

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

BAS-ADAM:An ADAM Based Approach to Improve the Performance of Beetle Antennae Search Optimizer

引用

IEEE/CAA Journal of Automatica Sinica 2020年第2期7卷 461-471页

作者： Ameer hamza khan Xinwei Cao Shuai Li Vasilios N.Katsikis Liefa Liao Department of Computing Hong Kong Polytechnic UniversityHong KongChina School of Management Shanghai UniversityShanghai 201900China Department of Electronics and Electrical Engineering Swansea UniversitySwansea SA18ENUK Department of Economics Division of Mathematics and InformaticsNational and Kapodistrian University of AthensAthens 10679Greece School of Information Engineering Jiangxi University of Science and TechnologyGanzhou 341000China

In this paper,we propose enhancements to Beetle Antennae search(BAS)algorithm,called BAS-ADAIVL to smoothen the convergence behavior and avoid trapping in localminima for a highly noin-convex objective *** achieve this by adaptively adjusting the step-size in each iteration using the adaptive moment estimation(ADAM)update *** proposed algorithm also increases the convergence rate in a narrow valley.A key feature of the ADAM update rule is the ability to adjust the step-size for each dimension separately instead of using the same *** ADAM is traditionally used with gradient-based optimization algorithms,therefore we first propose a gradient estimation model without the need to differentiate the objective ***,it demonstrates excellent performance and fast convergence rate in searching for the optimum of noin-convex *** efficiency of the proposed algorithm was tested on three different benchmark problems,including the training of a high-dimensional neural *** performance is compared with particle swarm optimizer(PSO)and the original BAS algorithm.

关键词： Adaptive moment estimation(ADAM) Beetle antennae search(BAM) gradient estimation metaheuristic optimization nature-inspired algorithms neural network

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Longitudinal and lateral slip control of autonomous wheeled mobile robot for trajectory tracking

引用

Frontiers of Information Technology & Electronic Engineering 2015年第2期16卷 166-172页

作者： hamza khan Jamshed IQBAL Khelifa BAIZID Teresa ZIELINSKA Division of Theory of Machines and Robots Warsaw University of Technology Warsaw 00-661 Poland Department of Advanced Roboties Istituto Italiano di Teenologia Genova 16163 Italy Department of Electrical Engineering COMSATS Institute of Information Technology Islamabad 44000 Pakistan Department of Electrical and Information Engineering University of Cassino and Southern Lazio Cassino 03043 Italy

This research formulates a path-following control problem subjected to wheel slippage and skid and solves it using a logic-based control scheme for a wheeled mobile robot （WMR）. The novelty of the proposed scheme lies in its methodology that considers both longitudinal and lateral slip components. Based on the derived slip model, the controller for longitudinal motion slip has been synthesized. Various control parameters have been studied to investigate their effects on the performance of the controller resulting in selection of their optimum values. The designed controller for lateral slip or skid is based on the proposed side friction model and skid check condition. Considering a car-like WMR, simulation results demonstrate the effectiveness of the proposed control scheme. The robot successfully followed the desired circular trajectory in the presence of wheel slippage and skid. This research finds its potential in various applications involving WMR navigation and control.

关键词： Robot modeling Robot navigation Slip and skid control Wheeled mobile robots

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

When LoRa meets distributed machine learning to optimize the network connectivity for green and intelligent transportation system

引用

Green Energy and Intelligent Transportation 2024年第3期3卷 24-41页

作者： Malak Abid Ali khan Hongbin Ma Arshad Farhad Asad Mujeeb Imran khan Mirani Muhammad hamza National Key Lab of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Computer Science Namal UniversityPakistan Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Faculty of Information Technology Beijing University of TechnologyBeijing 100124China School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China

LoRa technology contributes to green energy by enabling efficient,long-range communication for the Internet of Things(IoT).This paper addresses the challenges related to coverage range in outdoor monitoring systems utilizing LoRa,where the network performance is affected by the density of gateways(GWs)and end devices(EDs),as well as environmental *** mitigate interference,data throughput losses,and high-power consumption,the proposed spreading factor(SF)and hybrid(data rate|SF)models dynamically adjust the transmission *** orchestration of concurrent data modifications within the network server(NS)is crucial for uninterrupted communication between GWs and EDs,especially in monitoring electric vehicle(EV)stations to reduce traffic congestion and *** K-means and density-based spatial clustering of applications with noise(DBSCAN)algorithms optimizes ED allocation,averts data congestion,and improves the signal-tointerference noise ratio(SINR).These methods ensure seamless information reception by meticulously allocated EDs across various GW *** estimate the free-space losses(FSL),a log-distance path loss model(log-PL)is *** various bandwidths(BWs),bidirectional communications,and duty cycles(DCs)helps to prevent saturation,thus prolonging the operational lifespan of *** findings reveal a notable packet rejection rate(PRR)of 0%for the DBSCAN(hybrid model).In contrast,the K-means exhibits a PRR ranging from 5%(hybrid model)to 35.29%(SF model)for the ten GWs ***,the network saturation is reduced to 10.185%and 9.503%,respectively,highlighting an improvement in the average efficiency of slotted ALOHA(91.1%)and pure ALOHA(90.7%).These enhancements increase the lifespan of EDs to 15,465.27 days.

关键词： DBSCAN Green transportation Hybrid model Intelligent transportation K-means

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Modelling of debris-flow susceptibility and propagation: a case study from Northwest Himalaya

引用

Journal of Mountain Science 2024年第1期21卷 200-217页

作者： hamza DAUD Javed Iqbal TANOLI Sardar Muhammad ASIF Muhammad QASIM Muhammad ALI Junaid khan Zahid Imran BHATTI Ishtiaq Ahmad khan JADOON Badong National Observation and Research Station of Geohazards China University of GeosciencesWuhan 430074China Department of Earth Sciences COMSATS University IslamabadAbbottabad Campus 22010Pakistan Department of Earth Sciences Sultan Qaboos UniversityAl-KhoudMascat 123Oman Faculty of Engineering China University of Geosciences(Wuhan)Wuhan 430074China Department of Earth Sciences Abbottabad University of Science and TechnologyHavelian 22500Pakistan

The geological and geographical position of the Northwest Himalayas makes it a vulnerable area for mass movements particularly landslides and debris flows. Mass movements have had a substantial impact on the study area which is extending along Karakorum Highway(KKH) from Besham to Chilas. Intense seismicity, deep gorges, steep terrain and extreme climatic events trigger multiple mountain hazards along the KKH, among which debris flow is recognized as the most destructive geohazard. This study aims to prepare a field-based debris flow inventory map at a regional scale along a 200 km stretch from Besham to Chilas. A total of 117 debris flows were identified in the field, and subsequently, a point-based debris-flow inventory and catchment delineation were performed through Arc GIS analysis. Regional scale debris flow susceptibility and propagation maps were prepared using Weighted Overlay Method(WOM) and Flow-R technique sequentially. Predisposing factors include slope, slope aspect, elevation, Topographic Roughness Index(TRI), Topographic Wetness Index(TWI), stream buffer, distance to faults, lithology rainfall, curvature, and collapsed material layer. The dataset was randomly divided into training data(75%) and validation data(25%). Results were validated through the Receiver Operator Characteristics(ROC) curve. Results show that Area Under the Curve(AUC) using WOM model is 79.2%. Flow-R propagation of debris flow shows that the 13.15%, 22.94%, and 63.91% areas are very high, high, and low susceptible to debris flow respectively. The propagation predicated by Flow-R validates the naturally occurring debris flow propagation as observed in the field surveys. The output of this research will provide valuable input to the decision makers for the site selection, designing of the prevention system, and for the protection of current infrastructure.

关键词： North Pakistan Debris flow Flow-R Propagation Susceptibility mapping Debris-flow inventory Weighted Overlay Method

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

基于神经网络的SAR图像船舶识别

基于神经网络的SAR图像船舶识别

引用

作者： hamza Mehdi khan 上海交通大学

学位级别：硕士

Conv Net presents an efficient tool for SAR data *** this thesis,we use augmented Open SAR dataset for training and comparing several existing deep learning models for the purpose of ship *** the deep learning algorithms reveal the difficulty of classifying between Cargo and Tanker ships in the dataset,Consequently CNN models designed with sparse connections between convolution layers are found to considerably improve the classification performance against the existing models due to greater *** adding depth to the network and keeping lesser trainable parameters stabilize the validation ***,the CNN architecture in this research is found to outperform other models trained on Open SARShip ***,the hyperparameter selection approach taken to develop the final CNN leads to a F1 score of 78% for three classes and 82% when distinguishing 2 classes of ships.

关键词：

来源：

同方学位论文库评论

在线全文

同方学位论文库

学校读者我要写书评

暂无评论

Ship Detection In SAR Image using YOLOv2

Ship Detection In SAR Image using YOLOv2

引用

第37届中国控制会议

作者： hamza Mehdi khan Cai Yunze Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China Shanghai Jiaotong University

Ship detection in SAR images is a challenge and has traditionally been carried out using pixel based algorithms such as CFAR, in this paper we use a deep learning based algorithm called YOLOv2 for the aforementioned task and test its performance on three datasets, at different resolution and quality, with two datasets called DS1 and DS2 consisting of over 400 high resolution SAR images with a high ship to image ratio, in which DS1 consists of raw, unfiltered images and the third dataset called DS3 which consists of full scale 5500 single ship images of lower resolution. High detection results are observed which further improve once we train the network by applying transfer learning using weights from DS3 by truncating the last layer of the network and continue training on the combined first two datasets.

关键词： SAR Ship detection CFAR YOLO CNN

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：