|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Pollutant emission characteristics of rice husk combustion in a vortexing fluidized bed incinerator显示文摘Rice husk with high volatile content was burned in a pilot scale vortexing fluidized bed incinerator. The fluidized bed incinerator was constructed of 6 mm stainless steel with 0.45 m in diameter and 5 m in height. The emission characteristics of CO, NO, and SO2 were studied. The effects of operating parameters, such as primary air flow rate, secondary air flow rate, and excess air ratio on the pollutant emissions were also investigated. The results show that a large proportion of combustion occurs at the bed surface and the freeboard zone. The SO2 concentration in the flue gas decreases with increasing excess air ratio, while the NOx concentration shows reverse trend. The flow rate of secondary air has a significant impact on the CO emission. For a fixed primary air flowrate, CO emission decreases with the secondary air flowrate. For a fixed excess air ratio, CO emission decreases with the ratio of secondary to primary air flow. The minimum CO emission of 72 ppm is attained at the operating condition of 40% excess air ratio and 0.6 partition air ratio. The NOx and SO2 concentrations in the flue gas at this condition are 159 and 36 ppm, which conform to the EPA regulation of Taiwan. | Feng Duan Chiensong Chyang Yucheng Chin Jim Tso | 2013 | Journal of Environmental Sciences2013，25，2： | 3 |
| 2 | Preparation, luminescence and sintering properties of Ce-doped BaHfO3 phosphors显示文摘 | JIM Y JIANG D Y CHEN J J QIN L S XU Y P FENG T SHI J L | 2006 | Optical Materials2006，28，： | 1 |
| 3 | Maize HapMap2 identifies extant variation from a genome in flux 显示文摘 | Jer-Ming Chia Chi Song Peter J Bradbury Denise Cos- tich Natalia de Leon John Doebley Robert J Elshire Brandon Gaut Laura Geller Jeffrey C Glaubitz Michael Gore Kate E Guill Jim Holland Matthew B Hufford Jinsheng Lai Meng Li Xin Liu Yanli Lu Richard Mc- Combie Rebecca Nelson Jesse Poland Boddupalli M Prasanna Tanja Pyhajarvi Tingzhao Rong Rajandeep S Sekhon Qi Sun Maud I Tenaillon Feng Tian Jun Wang Xun Xu Zhiwu Zhang Shawn M Kaeppler Jef- frey Ross-lbarra Michael D McMullen Edward S Buck- ler Gengyun Zhang Yunbi Xu Doreen Ware | 2012 | Nat Genet2012，，44： | 1 |
| 4 | Effects of rapid calcination on properties of calcium-basedsorbents显示文摘 | Yan Chang Feng John R Grace Lim C Jim | | 0，，11： | 1 |
| 5 | Incineration of kitchen waste with high nitrogen in vortexing fluidized-bed incinerator and its NO emission characteristics显示文摘Some municipal solid waste (MSW) can be used as the fuel. Combustion of MSW with high nitrogen content is successfully conducted in a lab-scale vortexing fluidized-bed incinerator (VFBI). Pigskin with 16.5 wt.% nitrogen content was used to simulate the high nitrogen content kitchen waste, and silica sand was used as the bed material. The effects of operating conditions, such as the bed temperature, freeboard temperature, excess oxygen ratio, and static bed height on the CO and NO concentrations at the exit of combustor and cyclone were investigated. The experimental results show that the freeboard temperature is the most important factor for CO emission. The order of operating conditions impact on the NO emission is: (1) excess oxygen ratio; (2) bed temperature; (3) freeboard temperature; and (4) static bed height. Utilizing cyclone can significantly reduce the CO emission concentration when the CO concentration released from the freeboard is higher than 50 ppm. On the other hand, the cyclone has no significant effect on the NO emission. Despite having high nitrogen content, a low conversion from fuel-N to NO was attained. Compared with other types of combustors, VFBI reduces the CO and NO emission concentrations much better when burning MSW with high nitrogen content. | Feng Duan Chiensong Chyang Jiaruei Wen Jim Tso | 2013 | Journal of Environmental Sciences2013，25，9： | 1 |
| 6 | Nutrient transformations during composting of pig manure with bentonite显示文摘 | Ronghua Li Jim J Wang Zengqiang Zhang Feng Shen Guangjie Zhang Rui Qin Xiaolong Li Ran Xiao | 2012 | Bioresource Technology2012，，： | 1 |
| 7 | NOD2 Expression is Regulated by microRNAs in Colonic Epithelial HCT116 Cells显示文摘 | Alice Y. Chuang Jim C. Chuang Zili Zhai Feng Wu John H. Kwon | 2014 | Inflammatory Bowel Diseases2014，，1： | 1 |
| 8 | Mes2B (p-4,4'-biphenyl-NPh(1-naphthyl)) : a multifunctional molecule for electroluminescent devices显示文摘 | Jim W L FENG X D BAI D R | 2005 | Chem Mater2005，17，： | 1 |
| 9 | Effects of ganoderic acid Me on inhibiting multidrug resistance and inducing apoptosis in multidrug resistant colon cancer cells显示文摘 | Zijing Jiang Tiantian Jim Feng Gao | 2011 | Proc Biochem2011，46，： | 1 |
| 10 | Global Pediatric Pulmonology Alliance recommendation to strengthen prevention of pediatric seasonal influenza under COVID-19 pandemic显示文摘The World Health Organization(WHO)announced COVID-19 as a global pandemic in March of 2020[1].The COVID-19 pandemic may persist for a long period of time.Global prevention and control becomes a complex and challenging task,and such efforts should be sustained.Although general measures,such as social distancing,face masks,respiratory hygiene and hand sanitization,will bear fruits for decreasing spread of other respiratory illnesses including influenza,the specific prevention through vaccination is a key focus especially in the upcoming winter and spring seasons[2]. | Kun-Ling Shen Leyla Namazova-Baranova Yong-Hong Yang Gary Wing Kin Wong Lanny J.Rosenwasser Lance E.Rodewald Anne Eng Neo Goh Eitan Kerem Chris O'Callaghan T.Bernard Kinane Basil Elnazir Rina Triasih Rosemary Horne Anne B Chang Jim Buttery Ruth A.Etzel Kazunobu Ouchi Hilary Hoey Varinder Singh Genesis C.Rivera Spencer SLi Yu Guan Ling Cao Yue-Jie Zheng Lu-Zhao Feng Wu Zhong Zheng-De Xie Bao-Ping Xu Rong-Jun Lin Gen Lu Qiang Qin Chun-Mei Zhu Su-Yun Qian Gang Liu Cheng-Song Zhao Zhuang Wei Yu-Hong Zhao Global Pediatric Pulmonology Alliance(GPPA)Expert Panel on Infectious Diseases&COVID-19 | 2020 | World Journal of Pediatrics2020，16，5： | 0 |
| 11 | Classification of Arrhythmia Based on Convolutional Neural Networks and Encoder-Decoder Model显示文摘As a common and high-risk type of disease,heart disease seriously threatens people’s health.At the same time,in the era of the Internet of Thing(IoT),smart medical device has strong practical significance for medical workers and patients because of its ability to assist in the diagnosis of diseases.Therefore,the research of real-time diagnosis and classification algorithms for arrhythmia can help to improve the diagnostic efficiency of diseases.In this paper,we design an automatic arrhythmia classification algorithm model based on Convolutional Neural Network(CNN)and Encoder-Decoder model.The model uses Long Short-Term Memory(LSTM)to consider the influence of time series features on classification results.Simultaneously,it is trained and tested by the MIT-BIH arrhythmia database.Besides,Generative Adversarial Networks(GAN)is adopted as a method of data equalization for solving data imbalance problem.The simulation results show that for the inter-patient arrhythmia classification,the hybrid model combining CNN and Encoder-Decoder model has the best classification accuracy,of which the accuracy can reach 94.05%.Especially,it has a better advantage for the classification effect of supraventricular ectopic beats(class S)and fusion beats(class F). | Jian Liu Xiaodong Xia Chunyang Han Jiao Hui Jim Feng | 2022 | Computers, Materials & Continua2022，，10： | 0 |
| 12 | Automated Machine Learning for Epileptic Seizure Detection Based on EEG Signals显示文摘Epilepsy is a common neurological disease and severely affects the daily life of patients.The automatic detection and diagnosis system of epilepsy based on electroencephalogram(EEG)is of great significance to help patients with epilepsy return to normal life.With the development of deep learning technology and the increase in the amount of EEG data,the performance of deep learning based automatic detection algorithm for epilepsy EEG has gradually surpassed the traditional hand-crafted approaches.However,the neural architecture design for epilepsy EEG analysis is time-consuming and laborious,and the designed structure is difficult to adapt to the changing EEG collection environment,which limits the application of the epilepsy EEG automatic detection system.In this paper,we explore the possibility of Automated Machine Learning(AutoML)playing a role in the task of epilepsy EEG detection.We apply the neural architecture search(NAS)algorithm in the AutoKeras platform to design the model for epilepsy EEG analysis and utilize feature interpretability methods to ensure the reliability of the searched model.The experimental results show that the model obtained through NAS outperforms the baseline model in performance.The searched model improves classification accuracy,F1-score and Cohen’s kappa coefficient by 7.68%,7.82%and 9.60%respectively than the baseline model.Furthermore,NASbased model is capable of extracting EEG features related to seizures for classification. | Jian Liu Yipeng Du Xiang Wang Wuguang Yue Jim Feng | 2022 | Computers, Materials & Continua2022，，10： | 0 |
| 13 | Global Pediatric Pulmonology Alliance(GPPA)proposal for COVID-19 vaccination in children显示文摘Coronavirus disease 2019(COVID-19)remains a global epidemic.As of August 18,2021,the number of reported cases has exceeded 207 million globally,with more than 4.3 million deaths.COVID-19 has brought devastating losses to human society.The overall crude mortality rate is 1-3%.Although pediatric deaths from COVID-19 are rare,they do occur,as over 9,000 children have died from COVID-19 globally to date[1].With the gradual and broad application of COVID-19 vaccines around the world,the rising proportion of cases among children and unvaccinated young adults demands attention.According to World Health Organization surveillance data. | Lance E.Rodewald Kun-Ling Shen Yong-Hong Yang Gary Wing-Kin Wong Leyla Namazova-Baranova Lanny J.Rosenwasser Adel S.Alharbi Anne B.Chang Jim Buttery Basil Elnazir Ruth A.Etzel Anne Goh Hilary Hoey Rosemary Home Eitan Kerem Antonella Muraro Chris O’Callaghan Kazunobu Ouchi Varinder Singh Jiu-Yao Wang Spencer Li Yu Guanon Yue-Jie Zheng Zhengde Xie Gen Lu Yi Jiang Xing-Wang Li Rong-Meng Jiang Xiao-Chuan Wang Ji-Kui Deng Xiao-Xia Lu Bao-Ping Xu Zhuang Wei Lu-Zhao Feng Zheng-Yan Zhao the Global Pediatric Pulmonology Alliance(GPPA)Counci Global Pediatric Pulmonology Alliance(GPPA)Expert Panel on Infectious Diseases and COVID-19 | 2021 | World Journal of Pediatrics2021，17，5： | 0 |
| 14 | A Novel Edge Computing Based Area Navigation Scheme显示文摘The area navigation system,discussed in this paper,is composed of ground responders and a navigation terminal and can position a high-velocity aircraft and measure its velocity.This navigation system is silent at ordinary times.It sends out a request signal when positioning is required for an aircraft,and then the ground responders send a signal for resolving the aircraft.Combining the direct sequence spread spectrum and frequency hopping,the concealed communication mode is used in the whole communication process,with short communication pulses as much as possible,so the system has strong concealment and anti-interference characteristics.As the transmission delay is apparent in the response communication mode,there is a big error where the common navigation algorithm is used for the positioning and velocity measurement of a high-velocity aircraft.In this paper,a new algorithm is proposed,which can eliminate the influence of response communication delay on the positioning of a high-velocity moving target to realize the precise positioning and velocity measurement of a high-velocity aircraft. | Jianzhong Qi Qingping Song Jim Feng | 2020 | Computers, Materials & Continua2020，，12： | 0 |
| 15 | Another Year of Record Heat for the Oceans显示文摘Changes in ocean heat content(OHC), salinity, and stratification provide critical indicators for changes in Earth’s energy and water cycles. These cycles have been profoundly altered due to the emission of greenhouse gasses and other anthropogenic substances by human activities, driving pervasive changes in Earth’s climate system. In 2022, the world’s oceans, as given by OHC, were again the hottest in the historical record and exceeded the previous 2021 record maximum.According to IAP/CAS data, the 0–2000 m OHC in 2022 exceeded that of 2021 by 10.9 ± 8.3 ZJ(1 Zetta Joules = 1021Joules);and according to NCEI/NOAA data, by 9.1 ± 8.7 ZJ. Among seven regions, four basins(the North Pacific, North Atlantic, the Mediterranean Sea, and southern oceans) recorded their highest OHC since the 1950s. The salinity-contrast index, a quantification of the “salty gets saltier–fresh gets fresher” pattern, also reached its highest level on record in 2022,implying continued amplification of the global hydrological cycle. Regional OHC and salinity changes in 2022 were dominated by a strong La Ni?a event. Global upper-ocean stratification continued its increasing trend and was among the top seven in 2022. | Lijing CHENG John ABRAHAM Kevin ETRENBERTH John FASULLO Tim BOYER Michael EMANN Jiang ZHU Fan WANG Ricardo LOCARNINI Yuanlong LI Bin ZHANG Fujiang YU Liying WAN Xingrong CHEN Licheng Feng Xiangzhou SONG Yulong LIU Franco RESEGHETTI Simona SIMONCELLI Viktor GOURETSKI Gengxin CHEN Alexey MISHONOV Jim REAGAN Guancheng LI | 2023 | Advances in Atmospheric Sciences2023，40，6： | 0 |
| 16 | Two-Proton Simultaneous Emission From ^(29)S显示文摘The phenomena of two-proton emission are extensively studied in recent years[1-3]. The nucleus 29S, which the last two proton locates in 2s1/2 orbit may show such exotic behavior. Our previous experiment[4] | LIN Cheng-jian ZHANG Gao-long YANG Feng ZHANG Huan-qiao LIU Zu-hua ZHANG Chun-lei ZHOU Ping WU Xiu-kun XU Xin-xing AN Guang-peng Jim Hui-ming YU Ning BAI Chun-lin XU Hu-shan XIAO Guo-qing ZHANG Wen-long GUO Zhong-yan SUN Zhi-yu HU Zheng-guo | 2006 | Annual Report of China Institute of Atomic Energy2006，，1： | 0 |
| 17 | 经自然腔道取标本手术(NOSES)治疗胃癌的国际共识(2019)显示文摘At present,natural orifice specimen extraction surgery(NOSES)has attracted more and more attention worldwide,because of its great advantages including minimal cutaneous trauma and post-operative pain,fast post-operative recovery,short hospital stay,and positive psychological impact.However,NOSES for the treatment of gastric cancer(GC)is still in its infancy,and there is great potential to improve its theoretical system and clinical practice.Especially,several key points including oncological outcomes,bacteriological concerns,indication selection,and standardized surgical procedures are raised with this innovative technique.Therefore,it is necessary to achieve an international consensus to regulate the implementation of GC-NOSES,which is of great significance for healthy and orderly development of NOSES worldwide. | Xu Guan Zheng Liu Amjad Parvaiz Antonio Longo Avanish Saklani Ali AShafik Jian-Chun Cai Charles Ternent Lin Chen Cuneyt Kayaalp Fatih Sumer Fernanda Nogueira Feng Gao Fang-Hai Han Qing-Si He Ho-Kyung Chun Chang-Ming Huang Hai-Yang Huang Rui Huang Zhi-Wei Jiang Jim S Khan Joaquim Manuel da Costa Pereira JosephWNunoo-Mensah Jung Tack Son Liang Kang Keisuke Uehara Ping Lan Le-Ping Li Han Liang Bing-Rong Liu Juan Liu Dan Ma Ming-Yin Shen Mohammad Rashidul Islam Narimantas Evaldas Samalavicius Kai Pan Petr Tsarkov Xin-Yu Qin Ricardo Escalante Sergey Efetov Seung Kyu Jeong Suk-Hwan Lee Dong-Hui Sun Li Sun Tatiana Garmanova Yan-Tao Tian Gui-Yu Wang Guo-Jun Wang Guo-Rong Wang Xiao-Qiang Wang William Tzu-Liang Chen Woo Yong Lee Su Yan Zu-Li Yang Gang Yu Pei-Wu Yu Dan Zhao Yun-Shi Zhong Jian-Ping Wang Xi-Shan Wang The International Alliance of NOSES | 2020 | Gastroenterology Report2020，8，1： | 0 |
| 18 | NOMA-Based Cooperative Relaying Transmission for the Industrial Internet of Things显示文摘With the continuous maturity of the fifth generation(5G)communications,industrial Internet of Things(IIoT)technology has been widely applied in fields such as smart factories.In smart factories,5G-based production line monitoring can improve production efficiency and reduce costs,but there are problems with limited monitoring coverage and insufficient wireless spectrum resources,which restricts the application of IIoT in the construction of smart factories.In response to these problems,we propose a hybrid spectrum access mechanism based on Non-Orthogonal Multiple Access(NOMA)cooperative relaying transmission to improve the monitoring coverage and spectrum efficiency.As there are a large number of production lines that need to be monitored in smart factories,it is difficult to realize real-time monitoring of all production lines due to insufficient wireless resources.Therefore,we divide the production lines into high priority and low priority,and introduce cognitive radio technology to increase the number of monitoring production lines.In order to better describe the wireless fading channel environment in the factory,the two-wave with diffuse power(TWDP)channel is discussed to simulate the real factory environment and the outage probability of the secondary production line data transmission is derived in the proposed mechanism.Compared with the traditional mechanism,the proposed transmission mechanism can ensure the continuity of the secondary transmission,greatly reduce the outage probability of the secondary transmission,and improve the efficiency of the monitoring of the production lines. | Yinghua Zhang Rui Cao Lixin Tian Rong Dai Zhennan Cao Jim Feng | 2022 | Computers, Materials & Continua2022，，12： | 0 |
| 19 | Auxiliary Diagnosis Based on the Knowledge Graph of TCM Syndrome显示文摘As one of the most valuable assets in China,traditional medicine has a long history and contains pieces of knowledge.The diagnosis and treatment of Traditional Chinese Medicine(TCM)has benefited from the natural language processing technology.This paper proposes a knowledge-based syndrome reasoning method in computer-assisted diagnosis.This method is based on the established knowledge graph of TCM and this paper introduces the reinforcement learning algorithm to mine the hidden relationship among the entities and obtain the reasoning path.According to this reasoning path,we could infer the path from the symptoms to the syndrome and get all possibilities via the relationship between symptoms and causes.Moreover,this study applies the Term Frequency-Inverse Document Frequency(TF-IDF)idea to the computer-assisted diagnosis of TCM for the score of syndrome calculation.Finally,combined with symptoms,syndrome,and causes,the disease could be confirmed comprehensively by voting,and the experiment shows that the system can help doctors and families to disease diagnosis effectively. | Yonghong Xie Liangyuan Hu Xingxing Chen Jim Feng Dezheng Zhang | 2020 | Computers, Materials & Continua2020，，10： | 0 |
| 20 | A Federated Named Entity Recognition Model with Explicit Relation for Power Grid显示文摘The power grid operation process is complex,and many operation process data involve national security,business secrets,and user privacy.Meanwhile,labeled datasets may exist in many different operation platforms,but they cannot be directly shared since power grid data is highly privacysensitive.How to use these multi-source heterogeneous data as much as possible to build a power grid knowledge map under the premise of protecting privacy security has become an urgent problem in developing smart grid.Therefore,this paper proposes federated learning named entity recognition method for the power grid field,aiming to solve the problem of building a named entity recognition model covering the entire power grid process training by data with different security requirements.We decompose the named entity recognition(NER)model FLAT(Chinese NER Using Flat-Lattice Transformer)in each platform into a global part and a local part.The local part is used to capture the characteristics of the local data in each platform and is updated using locally labeled data.The global part is learned across different operation platforms to capture the shared NER knowledge.Its local gradients fromdifferent platforms are aggregated to update the global model,which is further delivered to each platform to update their global part.Experiments on two publicly available Chinese datasets and one power grid dataset validate the effectiveness of our method. | Jingtang Luo Shiying Yao Changming Zhao Jie Xu Jim Feng | 2023 | Computers, Materials & Continua2023，，5： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员