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NaF-FeF2 nanocomposite： New type of Na-ion battery cathode material

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Nano Research 2017年第12期10卷 4388-4397页

作者： Insang Hwang sung-Kyun jung eun-Suk Jeong Hyunchul Kim sung-Pyo Cho Kyojin Ku Hyungsub Kim Won-Sub Yoon Kisuk Kang Department of Materials Science and Engineering Research Institute of Advanced Materials (RIAM) Seoul National University Seoul 08826 Republic of Korea Department of Energy Science (DOES) Sungkyunkwan University Suwon 16419 Republic of Korea National Center for Inter-University Research Facilities Seoul National University Seou108826 Republic of Korea Neutron Science Division HANARO Korea Atomic Energy Research Institute Daejeon 34057 Republic of Korea Center for Nanoparticle Research Institute for Basic Science (IBS) Seoul National University Seou108826 Republic of Korea

Na-ion batteries （NIBs） are considered one of the most attractive alternatives for Li-ion batteries （LIBs） because of the natural abundance of Na and the similarities between the NIB technology and the well-established LIB technology. However, the discovery of high-performance electrode materials remains a key factor in the success of NIBs. Herein, we propose a new type of cathode material for NIBs based on a nanocomposite of an alkali metal fluoride （NaF） and a transition metal fluoride （FeF2）. Although neither of these components is electrochemically active with Na, the nanoscale mixture of the two can deliver a reversible capacity of -125 mAh/g in the voltage range of 1.2--4.8 V vs. Na/Na＋ via an Fe2＋/Fe3＋ redox couple. X-ray absorption spectroscopy reveals that the reversible Na storage is aided by the F-ions due to the decomposition of NaF, which are absorbed on the surface of FeF2, promoting the redox reaction of Fe and triggering the gradual transformation of the mother structure （FeF2） into a new （FeFB-like） host structure for the Na ions. This unique Na-ion storage phenomenon, which is reported for the first time, will introduce an avenue for designing novel cathode materials for NIBs.

关键词： nanocomposite Na-ion batteries NaF FeF2 cathode

Time-dependent effect of combination therapy with erythropoietin and granulocyte colony-stimulating factor in a mouse model of hypoxic-ischemic brain injury

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Neuroscience Bulletin 2014年第1期30卷 107-117页

作者： Ji Hea Yu jung Hwa Seo Jong eun Lee Ji Hoe Heo sung-Rae Cho Department and Research Institute of Rehabilitation Medicine Yonsei University College of Medicine Brain Korea 21 PLUS Project for Medical Science Yonsei University Graduate Program of Nano Science and Technology Yonsei University Department of Anatomy Yonsei University College of Medicine Department of Neurology Yonsei University College of Medicine Yonsei Stem Cell Center Avison Biomedical Research CenterYonsei University College of Medicine Rehabilitation Institute of Neuromuscular Disease Yonsei University College of Medicine

Erythropoietin （EPO） and granulocyte colony- stimulating factor （G-CSF） are likely to play broad roles in the brain. We investigated the effects of combination therapy with EPO and G-CSF in hypoxic- ischemic brain injury during the acute, subacute, and chronic phases. A total of 79 C57BL/6 mice with hypoxic-ischemic brain injury were randomly assigned acute （days 1-5）, subacute （days 11-15）and chronic （days 28-32） groups. All of them were treated with G-CSF （250 μg/kg） and EPO （5 000 U/kg） or saline daily for 5 consecutive days. Behavioral assessments and immunohistochemistry for angiogenesis, neuro- genesis, and astrogliosis were performed with an 8-week follow-up. Hypoxia-inducible factor-1 （HIF-1） was also measured by Western blot analysis. The results showed that the combination therapy with EPO and G-CSF in the acute phase significantly improved rotarod performance and forelimb-use symmetry compared to the other groups, while subacute EPO and G-CSF therapy exhibited a modest improvement compared with the chronic saline controls. The acute treatment significantly increased the density of CD31^＋（PECAM-1） and a-smooth muscle actin^＋ vessels in the frontal cortex and striatum, increased BrdU^＋/PSA- NCAM^＋ neurogenesis in the subventricular zone, and decreased astroglial density in the striatum. Furthermore, acute treatment significantly increased the HIF-1 expression in the cytosol and nucleus, whereas chronic treatment did not change the HIF-1 expression, consistent with the behavioral outcomes. These results indicate that the induction of HIF-1 expression by combination therapy with EPO and G-CSF synergistically enhances not only behavioral function but also neurogenesis and angiogenesis while decreasing the astroglial response in a time- dependent manner.

关键词： erythropoietin granulocyte colony-stimulating factor hypoxia-inducible factor-1 hypoxic-ischemic brain injury

Analysis of expanded criteria to select candidates for active surveillance of low-risk prostate cancer

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Asian Journal of Andrology 2015年第2期17卷 248-252,I0008,I0009页

作者： jung Ki Jo Hart Sol Lee Young Ik Lee Sang eun Lee sung Kyu Hong Department of Urology Seoul National University Bundang Hospital Seongnam Korea.

We aimed to analyze the value of each criterion for clinically insignificant prostate cancer （PCa） in the selection of men for active surveillance （AS） of low-risk PCa. We identified 532 men who were treated with radical prostatectomy from 2006 to 2013 who met 4 or all 5 of the criteria for clinically insignificant PCa （clinical stage 〈 T1, prostate specific antigen [PSA] density 0.15, biopsy Gleason score 〈 6, number of positive biopsy cores 〈 2, and no core with 〉 50% involvement） and analyzed their pathologic and biochemical outcomes. Patients who met all 5 criteria for clinically insignificant PCa were designated as group A （n -- 172）, and those who met 4 of 5 criteria were designated as group B （n = 360）. The association of each criterion with adverse pathologic features was assessed via logistic regression analyses. Comparison of group A and B and also logistic regression analyses showed that PSA density 0.15 ng ml-1 and high （〉7） biopsy Gleason score were associated with adverse pathologic features. Higher （〉 Tlc） clinical stage was not associated with any adverse pathologic features. Although 〈 3 positive cores were not associated with any adverse pathology, 〉4 positive cores were associated with higher risk of extracapsular extension. Among potential candidates for AS, PSA density ~ 0.15 ng ml-~ and biopsy Gleason score ~ 6 pose significantly higher risks of harboring more aggressive disease. The eligibility criteria for AS may be expanded to include men with clinical stage T2 tumor and 3 positive cores.

关键词： prediction prostate prostatectomy prostatic neoplasms risk

Utilizing Blockchain Technology to Improve WSN Security for Sensor Data Transmission

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Computers, Materials & Continua 2021年第8期68卷 1899-1918页

作者： sung-jung Hsiao Wen-Tsai sung Department of Information Technology Takming University of Science and TechnologyTaipei City11451Taiwan Department of Electrical Engineering National Chin-Yi University of TechnologyTaichung41170Taiwan

This paper proposes a method for improving the data security of wireless sensor networks based on blockchain *** technology is applied to data transfer to build a highly secure wireless sensor *** this network,the relay stations use microcontrollers and embedded devices,and the microcontrollers,such as Raspberry Pi and Arduino Yun,represents mobile *** proposed system uses microcontrollers to facilitate the connection of various sensor *** adopting blockchain encryption,the security of sensing data can be effectively improved.A blockchain is a concatenated transaction record that is protected by *** section contains the encrypted hash of the previous section,the corresponding timestamp,and transaction *** transaction data denote the sensing data of the wireless sensing *** proposed system uses a hash value representation calculated by the Merkel-tree algorithm,which makes the transfer data of the system difficult to be tamped ***,the proposed system can serve as a private cloud data *** this study,the system visualizes the data uploaded by sensors and create relevant charts based on big data *** the webpage server of the proposed system is built on an embedded operating system,it is easy to model and visualize the corresponding graphics using Python or JavaScript programming ***,this study creates an embedded system mobile database and web server,which can utilize JavaScript program language and *** runtime environment to apply blockchain technology to mobile *** proposed method is verified by the experiment using about 1600 data *** results show that the possibility of data being changed is very small,and the probability of data being changed is almost zero.

关键词： Blockchain embedded system big data analysis python javascript node.js

Improving Speech Enhancement Framework via Deep Learning

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Computers, Materials & Continua 2023年第5期75卷 3817-3832页

Speech plays an extremely important role in social *** individuals suffer from a“speech barrier,”which limits their communication with *** this study,an improved speech recognitionmethod is proposed that addresses the needs of speech-impaired and deaf individuals.A basic improved connectionist temporal classification convolutional neural network(CTC-CNN)architecture acoustic model was constructed by combining a speech database with a deep neural *** sensors were used to convert the collected voice signals into text or corresponding voice signals to improve *** method can be extended to modern artificial intelligence techniques,with multiple applications such as meeting minutes,medical reports,and verbatim records for cars,sales,*** experiments,a modified CTC-CNN was used to train an acoustic model,which showed better performance than the earlier common *** a CTC-CNN baseline acoustic model was constructed and optimized,which reduced the error rate to about 18%and improved the accuracy rate.

关键词： Artificial intelligence speech recognition speech to text CTC-CNN

RFID Positioning and Physiological Signals for Remote Medical Care

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Computer Systems Science & Engineering 2022年第4期41卷 289-304页

作者： Wen-Tsai sung sung-jung Hsiao Department of Electrical Engineering National Chin-Yi University of TechnologyTaichung411030Taiwan Department of Information Technology Takming University of Science and TechnologyTaipei City11451Taiwan

The safety of patients and the quality of medical care provided to them are vital for their *** study establishes a set of RFID(Radio Fre-quency Identiﬁcation)-based systems of patient care based on physiological sig-nals in the pursuit of a remote medical care *** RFID-based positioning system allows medical staff to continuously observe the patient's health and *** staff can thus respond to medical emergencies in time and appropriately care for the *** the COVID-19 pandemic broke out,the proposed system was used to provide timely information on the location and body temperature of patients who had been screened for the *** results of experiments and comparative analyses show that the proposed system is superior to competing systems in *** use of remote monitoring technology makes user interface easier to provide high-quality medical services to remote areas with sparse populations,and enables better care of the elderly and patients with mobility *** can be found from the experiments of this research that the accuracy of the position sensor and the ability of package delivery are the best among the other related *** presentation of the graphical interface is also the most cordial among human-computer interaction and the operation is simple and clear.

关键词： Remote medical care active RFID positioning physiological signal

Home Monitoring of Pets Based on AIoT

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Computer Systems Science & Engineering 2022年第10期43卷 59-75页

作者： Wen-Tsai sung sung-jung Hsiao Department of Electrical Engineering National Chin-Yi University of TechnologyTaichung City411030Taiwan Department of Information Technology Takming University of Science and TechnologyTaipei City11451Taiwan

With technological and social development in recent decades,people have begun pursuing more comfortable lives that frequently feature household pets that are treated like members of the *** average,one out of every three households has a *** has also led to the creation and growth of many businesses in the pet industry.A few companies have developed a system that allows busy office workers to remotely care for pets at home based on the Internet of Things and an intelligent adjustment *** owners of two dogs,the authors of this study observed their pets’living habits and recorded environmental conditions that appear suitable for *** data were then used to develop an automatic control system to care for *** observational data on the pets’habits and environment were written in a program in Arduino by using the ESP8266 Wi-Fi *** module and booster module control is the switch and setting of various household *** to the loop setting of the program,the system does not need to manually switch or adjust the electrical settings of the ***,the pet's living environment is assessed by using various *** use of Arduino programs helps develop a system that can automatically adjust the environment to one that is most suitable for the pet's comfort.

关键词： Remote medical care active RFID positioning physiological signal

Utilizing the Improved QPSO Algorithm to Build a WSN Monitoring System

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Computers, Materials & Continua 2022年第2期70卷 3529-3548页

This research uses the improved Quantum Particle Swarm Optimization(QPSO)algorithm to build an Internet of Things(IoT)life comfort monitoring system based on wireless sensing *** purpose is to improve the quality of intelligent *** functions of the system include automatic basketball court lighting system,monitoring of infants’sleeping posture and accidental falls of the elderly,human thermal comfort measurement and other related life comfort services,*** the hardware system of the IoT,this research is based on the latest version of ZigBee 3.0,which uses optical sensors,3-axis accelerometers,and temperature/humidity sensors in the IoT perception *** the network transmission layer,the central network architecture is used for *** the application layer,we have designed a graphical interface for real-time values and information that can be read at any time and place using mobile *** this study,authors use the improved QPSO algorithm in the calculation part,so that the target can be effectively positioned outside the numerous surveillance *** study uses various sensor data fusion technologies to make the IoT system becomes able to provide more extensive and even better services than ever *** short,this research work has proven to be an effective way to reduce power consumption,improve medical quality and provide higher comfort for intelligent lift level.

关键词： Quantum particle swarm optimization IoT wireless sensor network ZigBee

Efficient page layout analysis on small devices

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第6期10卷 800-804页

作者： eun-jung HAN Chee-onn WONG Kee-chul jung Kyung-ho LEE eun-yi KIM Department of Naval Architecture and Ocean Engineering Inha University Human-Centered Interfaces Lab Department of Digital MediaSoongsil University Internet and Media Engineering Konkuk University

Previously we have designed and implemented new image browsing facilities to support effective offiine image contents on mobile devices with limited capabilities： low bandwidth, small display, and slow processing. In this letter, we fulfill the automatic production of cartoon contents fitting small-screen display, and introduce a clustering method useful for various types of cartoon images as a prerequisite stage for preserving semantic meaning. The usage of neural networks is to properly cut the various forms of pages. Texture information that is useful for grayscale image segmentation gives us a good clue for page layout analysis using the multilayer perceptron （MLP） based x-y recursive algorithm. We also automatically frame the segment MLP using agglomerative segmentation. Our experimental results show that the combined approaches yield good results of segmentation for several cartoons.

关键词： Efficient page layout analysis MLP-based segmentation Mobile devices Image segmentation Neural network