|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Complications in the management of closed high-energy proximal tibial plateau fractures显示文摘 | Kavin Khatri Vijay Sharma Darsh Goyal Kamran Farooque | 2016 | Chinese Journal of Traumatology2016，19，6： | 18 |
| 2 | Projection micro stereolithography based 3D printing and its applications显示文摘Projection micro stereolithography(PμSL)is a high-resolution(up to 0.6μm)3D printing technology based on area projection triggered photopolymerization,and capable of fabricating complex 3D architectures covering multiple scales and with multiple materials.This paper reviews the recent development of the PμSL based 3D printing technologies,together with the related applications.It introduces the working principle,the commercialized products,and the recent multiscale,multimaterial printing capability of PμSL as well as some functional photopolymers that are suitable to PμSL.This review paper also summarizes a few typical applications of PμSL including mechanical metamaterials,optical components,4D printing,bioinspired materials and biomedical applications,and offers perspectives on the directions of the further development of PμSL based 3D printing technology. | Qi Ge Zhiqin Li Zhaolong Wang Kavin Kowsari Wang Zhang Xiangnan He Jianlin Zhou Nicholas X Fang | 2020 | International Journal of Extreme Manufacturing2020，2，2： | 11 |
| 3 | Minimally invasive osteosynthesis of distal tibial fractures using anterolateral locking plate: Evaluation of results and complications显示文摘 | Devendra Lakhotia Gaurav Sharma Kavin Khatri G.N. Kiran Kumar Vijay Sharma Kamran Farooque | 2016 | Chinese Journal of Traumatology2016，19，1： | 11 |
| 4 | Successful wireless capsule endos- copy for a 2 - 5 year-ld child observe gastrointertinal bleeding form mixed juvenile capillary hem-angiom atosis of the jejunum 显示文摘 | Kavin Ⅱ Berman JManrtin TI | 2006 | Pedia- tries2006，117，56： | 1 |
| 5 | Changing rates of adenocarcinoma and adenosquamous carcinoma of the cervix in England 显示文摘 | KAVIN P SASIENI P ADAM S | 2001 | Lancet2001，357，： | 1 |
| 6 | Light emitting diode-based detectors absorbance,fluorescence and spectroelectrochemical measurements in a planar flow-through cell显示文摘 | Purnendu K Dasgupta In-Yong Eom Kavin J Morris | 2003 | Analytica Chimica Acta2003，500，： | 1 |
| 7 | Measuring protection:a cautionary tale显示文摘 | | 1997 | Journal of Development Economics1997，53，： | 1 |
| 8 | Rodiologic percutaneous gastostomy and gastrojejunostomy with T-fastener gastropexy:aspects of importantce to the endoscopist显示文摘 | Kavin H Messeremith R | 2006 | Am J Gastoenlerol2006，101，： | 1 |
| 9 | Human ghrelin protects animals from renal ischemia-reperfusion injury through the vagus nerve显示文摘 | Derry Rajan Rongqian Wu Kavin G. Shah Asha Jacob Gene F. Coppa Ping Wang | 2012 | Surgery2012，，1： | 1 |
| 10 | Radiologic percutaneous gastrostomy and gastrojejunostomy with T-fasteruer gastropexy : aspects of importance to the endoscopist 显示文摘 | Kavin H Messersmith R | 2006 | Am J Gastroenterol2006，101，9： | 1 |
| 11 | The Kasai Portoenterostomy:When is it oo late?显示文摘 | Bess T Schoen Hanmin Lee Kavin Sullivan | 2001 | Jounal of Pediatric Surgery2001，36，： | 1 |
| 12 | Histogram Matched Chest X-Rays Based Tuberculosis Detection Using CNN显示文摘Tuberculosis(TB)is a severe infection that mostly affects the lungs and kills millions of people’s lives every year.Tuberculosis can be diagnosed using chest X-rays(CXR)and data-driven deep learning(DL)approaches.Because of its better automated feature extraction capability,convolutional neural net-works(CNNs)trained on natural images are particularly effective in image cate-gorization.A combination of 3001 normal and 3001 TB CXR images was gathered for this study from different accessible public datasets.Ten different deep CNNs(Resnet50,Resnet101,Resnet152,InceptionV3,VGG16,VGG19,DenseNet121,DenseNet169,DenseNet201,MobileNet)are trained and tested for identifying TB and normal cases.This study presents a deep CNN approach based on histogram matched CXR images that does not require object segmenta-tion of interest,and this coupled methodology of histogram matching with the CXRs improves the accuracy and detection performance of CNN models for TB detection.Furthermore,this research contains two separate experiments that used CXR images with and without histogram matching to classify TB and non-TB CXRs using deep CNNs.It was able to accurately detect TB from CXR images using pre-processing,data augmentation,and deep CNN models.Without histogram matching the best accuracy,sensitivity,specificity,precision and F1-score in the detection of TB using CXR images among ten models are 99.25%,99.48%,99.52%,99.48%and 99.22%respectively.With histogram matching the best accuracy,sensitivity,specificity,precision and F1-score are 99.58%,99.82%,99.67%,99.65%and 99.56%respectively.The proposed meth-odology,which has cutting-edge performance,will be useful in computer-assisted TB diagnosis and aids in minimizing irregularities in TB detection in developing countries. | Joe Louis Paul Ignatius Sasirekha Selvakumar Kavin Gabriel Joe Louis Paul Aadhithya B.Kailash S.Keertivaas S.A.J.Akarvin Raja Prajan | 2023 | Computer Systems Science & Engineering2023，44，1： | 0 |
| 13 | INPHOVIS:Interactive visual analytics for smartphone-based digital phenotyping显示文摘Digital phenotyping is the characterization of human behavior patterns based on data from digital devices such as smartphones in order to gain insights into the users’state and especially to identify ailments.To support supervised machine learning,digital phenotyping requires gathering data from study participants’smartphones as they live their lives.Periodically,participants are then asked to provide ground truth labels about their health status.Analyzing such complex data is challenging due to limited contextual information and imperfect health/wellness labels.We propose INteractive PHOne-o-typing VISualization(INPHOVIS),an interactive visual framework for exploratory analysis of smartphone health data to study phone-o-types.Prior visualization work has focused on mobile health data with clear semantics such as steps or heart rate data collected using dedicated health devices and wearables such as smartwatches.However,unlike smartphones which are owned by over 85 percent of the US population,wearable devices are less prevalent thus reducing the number of people from whom such data can be collected.In contrast,the‘‘low-level'sensor data(e.g.,accelerometer or GPS data)supported by INPHOVIS can be easily collected using smartphones.Data visualizations are designed to provide the essential contextualization of such data and thus help analysts discover complex relationships between observed sensor values and health-predictive phone-o-types.To guide the design of INPHOVIS,we performed a hierarchical task analysis of phone-o-typing requirements with health domain experts.We then designed and implemented multiple innovative visualizations integral to INPHOVIS including stacked bar charts to show diurnal behavioral patterns,calendar views to visualize day-level data along with bar charts,and correlation views to visualize important wellness predictive data.We demonstrate the usefulness of INPHOVIS with walk-throughs of use cases.We also evaluated INPHOVIS with expert feedback and received encouraging responses. | Hamid Mansoor Walter Gerych Abdulaziz Alajaji Luke Buquicchio Kavin Chandrasekaran Emmanuel Agu Elke Rundensteiner Angela Incollingo Rodriguez | 2023 | Visual Informatics2023，7，2： | 0 |
| 14 | “沙恩霍斯特”号战列巡洋舰显示文摘“沙恩霍斯特”号由德国威廉港的战争海军造船厂所建造.于1936年10月3日下水,并在1939年1月7日开始服役首任舰长为奥托·克里克斯(Otto Ciliax).他一直担任其职直到1939年9月23日。经过短期的服役后,“沙恩霍斯特”号于1939年中期进行改良.将一个新的主桅装设于船尾.以及将流线型船首换成大西洋舰艏(Atlantic bow)来提升它的适航性。 | Kavin | 2017 | 模型世界2017，0，1： | 0 |
| 15 | Additive manufacturing of high aspect-ratio structures with self-focusing photopolymerization显示文摘Photocrosslinkable polymers have been exploited to attain impressive advantages in printing freestanding,micrometer-scale,mechanically compliant features.However,a more integrated understanding of both the polymer photochemistry and the microfabrication processes could enable new strategic design avenues,unlocking far-reaching applications of the light-based modality of additive manufacturing.One promising approach for achieving high-aspect-ratio structures is to leverage the phenomenon of light self-trapping during the photopolymerization process.In this review,we discuss the design of materials that facilitate this optical behavior,the computational modeling and practical processing considerations to achieve high aspect-ratio structures,and the range of applications that can benefit from architectures fabricated using light self-trapping-especially those demanding free-standing structures and materials of stiffnesses relevant in biological applications.Coupled interactions exist among material attributes,including polymer composition,and processing parameters such as light intensity.We identify strong opportunities for predictive design of both the material and the process.Overall,this perspective describes the wide range of existing polymers and additive manufacturing approaches,and highlights various future directions to enable constructs with new complexities and functionalities through the development of next-generation photocrosslinkable materials and micromanufacturing methods. | Mingyu Yang Kavin Kowsari Nia O.Myrie Daniela Espinosa-Hoyos Anna Jagielska Seok Kim Nicholas X.Fang Krystyn J.Van Vliet | 2022 | Light(Advanced Manufacturing)2022，3，3： | 0 |
| 16 | A Novel Eccentric Intrusion Detection Model Based on Recurrent Neural Networks with Leveraging LSTM显示文摘The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the Internet.Regrettably,this development has expanded the potential targets that hackers might exploit.Without adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or alteration.The identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious attacks.This research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural Networks(RNN)integrated with Long Short-Term Memory(LSTM)units.The proposed model can identify various types of cyberattacks,including conventional and distinctive forms.Recurrent networks,a specific kind of feedforward neural networks,possess an intrinsic memory component.Recurrent Neural Networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended periods.Metrics such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual cyberattacks.RNNs are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection Model.This model utilises Recurrent Neural Networks,specifically exploiting LSTM techniques.The proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques. | Navaneetha Krishnan Muthunambu Senthil Prabakaran Balasubramanian Prabhu Kavin Kishore Senthil Siruvangur Kavitha Chinnadurai Jehad Ali | 2024 | Computers, Materials & Continua2024，78，3： | 0 |
| 17 | Repeated praziquantel treatment and Opisthorchis viverrini infection:a population-based cross-sectional study in northeast Thailand显示文摘Background:Opisthorchis viverrini infection is highly prevalent in northeast Thailand.This liver fluke is classified as a carcinogen due to its causal links with cholangiocarcinoma(CCA)development.Although treatment with praziquantel(PZQ)effectively cures O.viverrini infection,the prevalence remains high due to the traditional consumption of raw fish.Therefore,re-infection is common in the endemic community,leading to severe hepatobiliary morbidities including the fatal CCA.In this study,we evaluate the association between the frequency of previous PZQ treatment and current O.viverrini infections among Thai adults living in the endemic area of northeast Thailand.Methods:This study includes all participants who were screened for O.viverrini infection in the Cholangiocarcinoma Screening and Care Program(CASCAP),northeast Thailand.History of PZQ treatment was recorded using a health questionnaire.O.viverrini infections were diagnosed using urine antigen detection.Associations between PZQ and O.viverrini were determined by adjusted odds ratio(aOR)and 95%confidence interval(CI)using multiple logistic regression.Results:Among participants,27.7%had previously been treated once with PZQ,8.2%twice,2.8%three times,and 3.5%more than three times.Current O.viverrini prevalence was 17%(n=524).Compared with participants who never used PZQ,the aOR for infection among those who used the drug once was 1.09(95%CI:0.88-1.37),twice was 1.19(95%CI:0.85-1.68),three times was 1.28(95%C/:0.74-2.21),and more than three times was 1.86(95%C/:1.18-2.93;P=0.007).Conclusions:The population with a frequent history of PZQ use and still continued raw fish consumption showed high levels of repeated reinfection with O.viverrini.They were infected,treated and re-infected repeatedly.These findings suggest that certain participants continue raw fish consumption even after previous infection.This is a particular problem in highly endemic areas for O.viverrni and increases the risk of CCA. | Kavin Thinkhamrop Narong Khuntikeo Paiboon Sithithaworn Wilaiphorn Thinkhamrop Kinley Wangdi Matthew J.Kelly Apiporn T.Suwannatrai Darren J.Gray | 2019 | Infectious Diseases of Poverty2019，8，2： | 0 |
| 18 | 小小男孩布鲁显示文摘小小男孩布鲁,快快吹响号角,绵羊站在草地上,玉米田里待乳牛,布鲁他在哪里呢?谁在看守牛羊呀?他在干草堆下躺,沉沉坠入甜梦乡。 | Kavin | 2010 | 小学生阅读2010，，1： | 0 |
| 19 | ARGUS: Interactive visual analysis of disruptions in smartphone-detected Bio-Behavioral Rhythms显示文摘Human Bio-Behavioral Rhythms(HBRs)such as sleep-wake cycles(Circadian Rhythms),and the degree of regularity of sleep and physical activity have important health ramifications.Ubiquitous devices such as smartphones can sense HBRs by continuously analyzing data gathered passively by built-in sensors to discover important clues about the degree of regularity and disruptions in behavioral patterns.As human behavior is complex and smartphone data is voluminous with many channels(sensor types),it can be challenging to make meaningful observations,detect unhealthy HBR deviations and most importantly pin-point the causes of disruptions.Prior work has largely utilized computational methods such as machine and deep learning approaches,which while accurate,are often not explainable and present few actionable insights on HBR patterns or causes.To assist analysts in the discovery and understanding of HBR patterns,disruptions and causes,we propose ARGUS,an interactive visual analytics framework.As a foundation of ARGUS,we design an intuitive Rhythm Deviation Score(RDS)that analyzes users’smartphone sensor data,extracts underlying twenty-four-hour rhythms and quantifies their degree of irregularity.This score is then visualized using a glyph that makes it easy to recognize disruptions in the regularity of HBRs.ARGUS also facilitates deeper HBR insights and understanding of causes by linking multiple visualization panes that are overlaid with objective sensor information such as geo-locations and phone state(screen locked,charging),and user-provided or smartphone-inferred ground truth information.This array of visualization overlays in ARGUS enables analysts to gain a more comprehensive picture of HBRs,behavioral patterns and deviations from regularity.The design of ARGUS was guided by a goal and task analysis study involving an expert versed in HBR and smartphone sensing.To demonstrate its utility and generalizability,two different datasets were explored using ARGUS and our use cases and designs were strongly validated in evaluation sessions with expert and non-expert users. | Hamid Mansoor Walter Gerych Abdulaziz Alajaji Luke Buquicchio Kavin Chandrasekaran Emmanuel Agu Elke Rundensteiner | 2021 | Visual Informatics2021，5，3： | 0 |
| 20 | 煮妇与不煮妇交换生活显示文摘把习惯了各自生活的煮妇和非煮妇们置入对方的世界,是天塌地陷还是寻到另一个桃花源?世人早有这样的共识,说要抓住男人的心就要先抓住男人的胃。 | 西西 Kavin | 2007 | 都市心情2007，0，5： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员