检索结果-南通市图书馆

Forward-viewing endoscopic ultrasound-guided NOTES interventions: A study on peritoneoscopic potential

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Gastroenterology 2013年第41期19卷 7160-7167页

作者： seung uk jeong Hassanuddin Aizan Tae Jun Song Dong Wan Seo Su-Hui Kim Do Hyun Park Sang Soo Lee Sung Koo Lee Myung-Hwan Kim Department of Gastroenterology Asan Medical CenterUniversity of Ulsan College of MedicineSeoul 138-736South Korea Department of Internal Medicine Ilsan Paik HospitalInje UniversityKoyang 411-706South Korea Asan Institute for Life Sciences Asan Medical CenterUniversity of Ulsan College of MedicineSeoul 138-736South Korea

AIM:To evaluate the feasibility of diagnostic and therapeutic transgastric(TG)peritoneoscopic interventions with a forward-viewing endoscopic ultrasound(FV-EUS).METHODS:This prospective endoscopic experimental study used an animal *** TG peritoneoscopic interventions and EUS examination of the intraabdominal organs were performed using an FV-EUS on 10 animal models(1 porcine and 9 canine).The procedures carried out include EUS evaluation and endoscopic biopsy of intraperitoneal organs,EUS-guided fine needle aspiration(EUS-FNA),EUS-guided radiofrequency ablation(EUS-RFA),and argon plasma coagulation(APC)for hemostatic *** animals were kept alive for 7 d,and then necropsy was performed to evaluate results and ***:In all 10 animals,TG peritoneoscopy,followed by endoscopic biopsy for the liver,spleen,abdominal wall,and omentum,was performed *** helped control minor *** of intra-abdominal solid organs with real-time EUS was accomplished with *** EUS-FNA was successfully performed on the liver,spleen,and ***,a successful outcome was achieved with EUSRFA of the hepatic *** adverse events were recorded during the ***:Peritoneoscopic natural orifice transluminal endoscopic surgery(NOTES)interventions through FV-EUS were feasible in providing evaluation and performing endoscopic *** promises potential as a platform for future EUS-based NOTES.

关键词： Forward-viewing endoscopic ultrasound Oblique-viewing endoscopic ultrasound Endoscopic ultrasound guided intervention Peritoneoscopy Natural orifice transluminal endoscopic surgery

Avoiding heating interference and guided thermal conduction in stretchable devices using thermal conductive composite islands

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nano Research 2021年第9期14卷 3253-3259页

作者： seung Ji Kang Haeleen Hong Chanho jeong Ju seung Lee Hyewon Ryu Jae-hun Yang Jong uk Kim Yiel Jae Shin Tae-il Kim School of Chemical Engineering Sungkyunkwan University(SKKU)Suwon 16419Republic of Korea Department of Biomedical Engineering Sungkyunkwan University(SKKU)Suwon 16419Republic of Korea Biomedical Institute for Convergence(BICS) Sungkyunkwan University(SKKU)Suwon 16419Republic of Korea

The miniaturization and high integration of devices demand significant thermal management *** technologies for the thermal management of electronics show some limitations in the case of multiple chip arrays.A device in multiple chip array is affected by heat from adjacent devices,along with thermal conductive *** address this problem,we present a nano composite of aligned boron nitride(BN)nanosheet islands with porous polydimethylsiloxane(PDMS)foam to have mechanical stability and non-thermal *** islands of tetrahedrally-structured BN in the composite have a high thermal conductivity of 1.219 W·m^(-1)·K^(-1) in the through-plane direction(11.234W·m^(-1)·K^(-1)in the in-plane direction)with 16 wt.%loading of *** the other hand,porous PDMS foam has a low thermal conductivity of 0.0328W·m^(-1)·K^(-1) in the through-plane direction at 70%*** pathways are then formed only in the structured BN islands of the *** porous PDMS foam can be applied as a thermal barrier between structured BN islands to inhibit thermal interference in multiple device ***,this composite can maintain selective thermal dissipation performance with 70%tensile *** beauty of the work is that it could have guided heat dissipation by assembling of multiple layers which have high vertical thermal conductive islands,while inhibiting thermal *** selective heat dissipating composite can be applied as a heatsink for multiple chip arrays electronics.

关键词： selective thermal conduction non-thermal interference thermal conductive composite island stretchable electronics structured boron nitride nanosheet(s-BN) porous polydimethylsiloxane(p-PDMS)

Electrochemical biosensors for point-of-care testing

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Bio-Design and Manufacturing 2024年第4期7卷 548-565页

作者： Jinsol Kim Juho jeong seung Hwan Ko Department of Mechanical Engineering Seoul National UniversitySeoul 08826Republic of Korea Institute of Advanced Machinery and Design(SNU-IAMD) Seoul National UniversitySeoul 08826Republic of Korea

Point-of-care testing(POCT)is the practice of diagnosing and monitoring diseases where the patient is located,as opposed to traditional treatment conducted solely in a medical laboratory or other clinical *** has been less common in the recent past due to a lack of portable medical devices capable of facilitating effective medical ***,recent growth has occurred in this field due to advances in diagnostic technologies,device miniaturization,and progress in wearable *** these developments,electrochemical sensors have attracted interest in the POCT field due to their high sensitivity,compact size,and *** are used in various applications,from disease diagnosis to health status *** this paper we explore recent advancements in electrochemical sensors,the methods of fabricating them,and the various types of sensing mechanisms that can be ***,we delve into methods for immobilizing specific biorecognition elements,including enzymes,antibodies,and aptamers,onto electrode surfaces and how these sensors are used in real-world POCT settings.

关键词： Point-of-care testing(POCT) Electrochemical sensor Enzyme Antibody Health care

Progress in light-to-frequency conversion circuits based on low dimensional semiconductors

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

Nano Research 2021年第9期14卷 2938-2964页

作者： seung Gi Seo seung Yeob Kim Jinheon jeong Sung Hun Jin Department of Electronic Engineering Incheon National UniversityAcademy-ro 119Yeongsu-guIncheon 22012Republic of Korea

As the scaling down of Si devices in the range less than few nm has been expedited up to a physical limit of Si,low dimensional materials have been regarded as one of next generation *** a variety of applications,studies on photodetectors have been actively investigated with their novel optical properties as well as astonishing electrical ***,most of research has focused on single device-type photodetector(i.e.,photo-diode or photo-transistor).Contrary to common photodetector,light-to-frequency circuits(LFCs)are based on frequency reading with photosensitive ring oscillators,which has better noise immunity and reduced system complexity,thus,can be utilized to novel application even in internet of things(loT)and bio&medical *** this review,low dimensional materials based circuit level photodetectors,which are core elements as the form of either inverters or ring oscillators for demonstration of LFCs,are *** with the introduction of low dimensional materials and their optical properties for optoelectronics,a fundamental concept for LFCs is specifically ***,research progress on low dimensional material based photosensitive inverters is addressed according to the types of ***,as one of practical method for the improvement of photodetector performance,molecular doping technology is ***,complete system of LFCs and its digitization for demonstration of production level,and potential application in the respective four aspects,(i)medical SpO_(2) detection,(ii)biological fluidic system,(iii)auto-lighting in agriculture,and(iv)optical feedback and sensing systems,are presented as systematic way to address the envisioned practical applications for the future displays including virtual reality and augmented reality,and *** a remark,LFCs based on low dimensional semiconductors are expected to be one of core components in trillion’s sensor area.

关键词： photodetector light-to-frequency conversion circuit transition metal dichalcogenide carbon nanotube

Perspectives of laparoscopic surgery for gastric cancer

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Cancer Research 2022年第5期34卷 533-538页

作者： jeong Ho Song Sang-uk Han Department of Surgery Ajou University School of MedicineSuwon 16499Republic of Korea

Gastrectomy is the main treatment option for gastric cancer patients. Laparoscopic approach has become popular as an alternative to open method during the last decades, and clinical trials have revealed safety and feasibility in the short-and long-term outcomes of laparoscopic gastrectomy. The aim of this review is to summarize the results of prospective clinical trials and propose future perspectives for laparoscopic gastrectomy.

关键词： Gastric cancer laparoscopic gastrectomy minimally-invasive surgery

The Impact of Semi-Supervised Learning on the Performance of Intelligent Chatbot System

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

Computers, Materials & Continua 2022年第5期71卷 3937-3952页

作者： Sudan Prasad Uprety seung Ryul jeong The Graduate School of Business Information Technology Kookmin UniversitySeoul02707Korea

Artificial intelligent based dialog systems are getting attention from both business and academic *** key parts for such intelligent chatbot systems are domain classification,intent detection,and named entity *** supervised,unsupervised,and hybrid approaches are used to detect each *** intelligent systems,also called natural language understanding systems analyze user requests in sequential order:domain classification,intent,and entity recognition based on the semantic rules of the classified *** sequential approach propagates the downstream error;i.e.,if the domain classification model fails to classify the domain,intent and entity recognition ***,training such intelligent system necessitates a large number of user-annotated datasets for each *** study proposes a single joint predictive deep neural network framework based on long short-term memory using only a small user-annotated dataset to address these *** investigates value added by incorporating unlabeled data from user chatting logs into multi-domain spoken language understanding *** experimental analysis of the proposed joint frameworks,along with the semi-supervised multi-domain model,using open-source annotated and unannotated utterances shows robust improvement in the predictive performance of the proposed multi-domain intelligent chatbot over a base joint model and joint model based on adversarial learning.

关键词： Chatbot dialog system joint learning LSTM natural language understanding semi-supervised learning

A Deep Learning Hierarchical Ensemble for Remote Sensing Image Classification

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第8期72卷 2649-2663页

作者： seung-Yeon Hwang jeong-Joon Kim Department of Computer Engineering Anyang UniversityAnyang-si14028Korea Department of ICT Convergence Engineering Anyang UniversityAnyang-si14028Korea

Artificial intelligence,which has recently emerged with the rapid development of information technology,is drawing attention as a tool for solving various problems demanded by society and *** particular,convolutional neural networks(CNNs),a type of deep learning technology,are highlighted in computer vision fields,such as image classification and recognition and object *** these CNN models requires a large amount of data,and a lack of data can lead to performance degradation problems due to *** CNN architecture development and optimization studies become active,ensemble techniques have emerged to perform image classification by combining features extracted from multiple CNN *** this study,data augmentation and contour image extraction were performed to overcome the data shortage *** addition,we propose a hierarchical ensemble technique to achieve high image classification accuracy,even if trained from a small amount of ***,we trained the UCMerced land use dataset and the contour images for each image on pretrained VGGNet,GoogLeNet,ResNet,DenseNet,and *** then apply a hierarchical ensemble technique to the number of cases in which each model can be *** experiments were performed in cases where the proportion of training datasets was 30%,50%,and 70%,resulting in a performance improvement of up to 4.68%compared to the average accuracy of the entire model.

关键词： Image classification deep learning CNNs hierarchical ensemble UC-Merced land use dataset contour image

Data Augmentation Using Contour Image for Convolutional Neural Network

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第6期75卷 4669-4680页

作者： seung-Yeon Hwang jeong-Joon Kim Department of Computer Engineering Anyang UniversityAnyang-si14058Korea Department of ICT Convergence Engineering Anyang UniversityAnyang-si14058Korea

With the development of artificial intelligence-related technologies such as deep learning,various organizations,including the government,are making various efforts to generate and manage big data for use in artificial ***,it is difficult to acquire big data due to various social problems and restrictions such as personal information *** are many problems in introducing technology in fields that do not have enough training data necessary to apply deep learning ***,this study proposes a mixed contour data augmentation technique,which is a data augmentation technique using contour images,to solve a problem caused by a lack of ***,a famous convolutional neural network(CNN)architecture,and CIFAR-10,a benchmark data set,are used for experimental performance evaluation to prove the superiority of the proposed *** to prove that high performance improvement can be achieved even with a small training dataset,the ratio of the training dataset was divided into 70%,50%,and 30%for comparative *** a result of applying the mixed contour data augmentation technique,it was possible to achieve a classification accuracy improvement of up to 4.64%and high accuracy even with a small amount of data *** addition,it is expected that the mixed contour data augmentation technique can be applied in various fields by proving the excellence of the proposed data augmentation technique using benchmark datasets.

关键词： Data augmentation image classification deep learning convolutional neural network mixed contour image benchmark dataset

A Universal Activation Function for Deep Learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第5期75卷 3553-3569页

作者： seung-Yeon Hwang jeong-Joon Kim Department of Computer Engineering Anyang UniversityAnyang-si14028Korea Department of ICT Convergence Engineering Anyang UniversityAnyang-si14028Korea

Recently,deep learning has achieved remarkable results in fields that require human cognitive ability,learning ability,and reasoning *** functions are very important because they provide the ability of artificial neural networks to learn complex patterns through *** activation functions are being studied to solve problems such as vanishing gradients and dying nodes that may occur in the deep learning ***,it takes a lot of time and effort for researchers to use the existing activation function in their ***,in this paper,we propose a universal activation function(UA)so that researchers can easily create and apply various activation functions and improve the performance of neural *** can generate new types of activation functions as well as functions like traditional activation functions by properly adjusting three *** famous Convolutional Neural Network(CNN)and benchmark datasetwere used to evaluate the experimental performance of the UA proposed in this *** compared the performance of the artificial neural network to which the traditional activation function is applied and the artificial neural network to which theUA is *** addition,we evaluated the performance of the new activation function generated by adjusting the hyperparameters of *** experimental performance evaluation results showed that the classification performance of CNNs improved by up to 5%through the UA,although most of them showed similar performance to the traditional activation function.

关键词： Deep learning activation function convolutional neural network benchmark datasets universal activation function