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Rare solitary splenic metastasis from a thymic carcinoma detected on fluorodeoxyglucose-positron emission tomography:A case report

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World Journal of Clinical Cases 2022年第15期10卷 5072-5076页

作者： Yueh-Hsun tsai Kuan-Hsun lin tsai-Wang Huang Department of Surgery Tri-Service General HospitalNational Defense Medical CenterTaipei 114Taiwan Division of Thoracic Surgery Department of SurgeryTri-Service General HospitalNational Defense Medical CenterTaipei 114Taiwan

BACKGROUND Thymic carcinoma is a rare,aggressive tumor arising from the *** less than 7%of patients with thymic carcinoma,extrathoracic metastases occur in the extrathoracic lymph nodes,liver,and *** splenic metastasis can occur but is very *** date,only 2 cases of splenic metastases from thymic carcinoma have been *** SUMMARY A 45-year-old man presented with chronic cough,dyspnea,persistent hoarseness and unintentional weight loss 17 kgs in 6 *** magnetic resonance imaging revealed a large,lobulated,soft-tissue mass measuring 5.4 cm×6.6 cm×3.8 cm which involved the left superior mediastinum and supraclavicular *** computed tomography(CT)revealed a confluent and lobulated soft tissue mass encased the right brachiocephalic artery,right and left carotid arteries,and left subclavian artery in the mediastinum.A fluorodeoxyglucose-positron emission tomography was arranged for malignancy *** image revealed intense fluorodeoxyglucose avidity in a soft tissue lobulated mass occupying the superior mediastinum,over the cystic lesion in the spleen and in few enlarged nodules over the left supraclavicular ***-guided biopsy of the thymic mass and the ultrasound-guided biopsy of the splenic lesion were consistent with a thymic carcinoma with splenic *** patient was diagnosed of thymic carcinoma,cT2N2M1b,stage *** A fluorodeoxyglucose(FDG)-positron emission tomography(PET)scan can provide a useful diagnostic value in conjunction with pathological result in evaluating tumor *** case emphasizes the utility of FDG-PET for metastasis detection in thymic carcinoma.

关键词： Thymic carcinoma Splenic metastasis Positron emission tomography Extrathoracic metastases Mediastinal tumor Case report

甲状腺激素水平与司法精神医学鉴定中交通事故所致颅脑外伤患者的关系

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重庆医学 2024年第S01期53卷 1-5页

作者：蔡政忠 tsai Cheng-chung 韶关学院心理学系广东韶关512005 广东药科大学中药学院广州511400 泰国格乐大学泰国曼谷10220

目的探讨甲状腺激素水平与司法精神医学鉴定中交通事故所致颅脑外伤患者的关系。方法选取2022年5月至2023年5月司法鉴定所进行司法精神医学鉴定为交通事故所致颅脑损伤且存在一定的精神障碍的92例被鉴定人为研究对象,根据其病情将其分... 详细信息

目的探讨甲状腺激素水平与司法精神医学鉴定中交通事故所致颅脑外伤患者的关系。方法选取2022年5月至2023年5月司法鉴定所进行司法精神医学鉴定为交通事故所致颅脑损伤且存在一定的精神障碍的92例被鉴定人为研究对象,根据其病情将其分为边缘精神障碍组(n=41)、轻度精神障碍组(n=35)、中度精神障碍组(n=10)、重度精神障碍组(n=6),另选取就诊的50例非颅脑损伤和精神障碍患者,分别分析不同程度颅脑损伤、精神障碍患者和非精神障碍患者、精神障碍不同等级患者及重度精神障碍患者存活与死亡的甲状腺激素水平、伤残鉴定结果及其与甲状腺激素、精神障碍分级的关系。结果中、重型颅脑损伤组T_(3)、FT_(3)水平均低于轻型颅脑损伤组,且3组T_(3)、FT_(3)水平均随着颅脑损伤程度的加重而呈现出明显下降趋势(P0.05),与精神障碍分级之间有相关性(P<0.05)。结论甲状腺激素T_(3)、FT_(3)水平与颅脑损伤合并精神障碍、精神伤残鉴定结果存在相关性。

关键词：甲状腺激素水平司法精神医学鉴定精神障碍分级交通事故颅脑外伤

The Clumpy Structure of Five Star-bursting Dwarf Galaxies in the MaNGA Survey

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Research in Astronomy and Astrophysics 2024年第2期24卷 83-103页

作者： Mengting Ju Jun Yin Lei Hao Chenxu Liu Chao-Wei tsai Junfeng Wang Zhengyi Shao Shuai Feng Yu Rong Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical ObservatoryChinese Academy of SciencesShanghai 200030China University of Chinese Academy of Sciences Beijing 100049China Key Lab for Astrophysics Shanghai 200034China South-Western Institute for Astronomy Research Yunnan UniversityKunming 650500China National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China Institute for Frontiers in Astronomy and Astrophysics Beijing Normal UniversityBeijing 102206China Department of Astronomy Physics BuildingXiamen UniversityXiamenFujian 361005China College of Physics Hebei Normal UniversityShijiazhuang 050024China Hebei Key Laboratory of Photophysics Research and Application Shijiazhuang 050024China Department of Astronomy University of Science and Technology of ChinaHefei 230026China

The star-forming clumps in star-bursting dwarf galaxies provide valuable insights into understanding the evolution of dwarf *** this paper,we focus on five star-bursting dwarf galaxies featuring off-centered clumps in the Mapping Nearby Galaxies at Apache Point Observatory *** the stellar population synthesis software Fitting Analysis using Differential evolution Optimization,we obtain the spatially resolved distribution of the star formation history,which allows us to construct the g-band images of the five galaxies at different *** images can help us to probe the evolution of the morphological structures of these *** images of a stellar population older than 1 Gyr are typically smooth,images of a stellar population younger than 1 Gyr reveal significant clumps,including multiple clumps which appear at different locations and even different *** study the evolutionary connections of these five galaxies to other dwarf galaxies before their star-forming clumps appear,we construct the images of the stellar populations older than three age nodes,and define them to be the images of the"host"*** find that the properties such as the central surface brightness and the effective radii of the hosts of the five galaxies are in between those of dwarf ellipticals(dEs)and dwarf irregulars(dIrrs),with two clearly more similar to dEs and one more similar to *** the five galaxies,8257-3704 is particularly interesting,as it shows a previous starburst event that is not quite visible from its gri image,but only visible from images of the stellar population at a few hundred million *** star-forming clump associated with this event may have appeared at around 600 Myr ago and disappeared at around 40 Myr ago.

关键词： galaxies dwarf-galaxies evolution-galaxies formation-Galaxy structure

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黄明昊青春蒙太奇

大众电影 2024年第7期 66-75,2,3页

作者：李拾齐 Tina tsai(摄影) 不详

上海国际电影节开幕式当晚,夜上海灯火阑珊,群星云集,又是一年盛夏,又有一个个新故事联袂登场。酒店中,我们与黄明昊相见,他刚刚从开幕式现场返回,一身黑西服,英气逼人。采访之前,我们先进行了平面拍摄,记者不小心碰到了手机的音乐播放... 详细信息

上海国际电影节开幕式当晚,夜上海灯火阑珊,群星云集,又是一年盛夏,又有一个个新故事联袂登场。酒店中,我们与黄明昊相见,他刚刚从开幕式现场返回,一身黑西服,英气逼人。采访之前,我们先进行了平面拍摄,记者不小心碰到了手机的音乐播放键,一首韦礼安的《慢慢等》响起,正在拍摄的黄明昊在椅子上忽然抬起手:“这也是我歌单里的歌!”

关键词：上海国际电影节音乐播放蒙太奇相见开幕式

Implementation of Rapid Code Transformation Process Using Deep Learning Approaches

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Computer Modeling in Engineering & Sciences 2023年第7期136卷 107-134页

作者： Bao Rong Chang Hsiu-Fen tsai Han-lin Chou Department of Computer Science and Information Engineering National University of KaohsiungKaohsiung811Taiwan Department of Fragrance and Cosmetic Science Kaohsiung Medical UniversityKaohsiung811Taiwan

Our previous work has introduced the newly generated program using the code transformation model GPT-2,verifying the generated programming codes through simhash(SH)and longest common subsequence(LCS)***,the entire code transformation process has encountered a time-consuming ***,the objective of this study is to speed up the code transformation process signi􀀀*** paper has proposed deep learning approaches for modifying SH using a variational simhash(VSH)algorithm and replacing LCS with a piecewise longest common subsequence(PLCS)algorithm to faster the veri􀀀cation process in the test *** the code transformation model GPT-2,this study has also introduced MicrosoMASS and Facebook BART for a comparative analysis of their ***,the explainable AI technique using local interpretable model-agnostic explanations(LIME)can also interpret the decision-making *** experimental results show that VSH can reduce the number of quali􀀀ed programs by 22.11%,and PLCS can reduce the execution time of selected pocket programs by 32.39%.As a result,the proposed approaches can signi􀀀cantly speed up the entire code transformation process by 1.38 times on average compared with our previous work.

关键词： Code transformation model variational simhash piecewise longest common subsequence explainable AI LIME

Performance Evaluation of Food and Beverage Listed Companies in Vietnam

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Computers, Materials & Continua 2022年第11期73卷 3575-3593页

作者： Jung-Fa tsai Ngoc Huyen Nguyen Ming-Hua lin Department of Business Management National Taipei University of TechnologyTaipei10608Taiwan Department of Urban Industrial Management and Marketing University of TaipeiTaipei11153Taiwan

During the last decade,the food and beverage industry has been one of the most significant and prioritized industries that contributed to the economic growth in ***,how to enhance the performance of food and beverage firms has become a critical factor for Vietnam’s economic *** research aims to use the data envelopment analysis(DEA)and the Malmquist productivity index(MPI)to assess changes in operational performance and productivity of listed lead food and beverage firms in Vietnam during the period between 2015 and *** obtained results reveal that Vietnamese food and beverage firms were generally inefficient between 2015 and 2020 because the number of relatively inefficient companies was higher than the relatively efficient ones in each year between 2015 and *** MPI findings indicate the growth in productivity during the study period as a result of technological *** integrating the findings of the relative efficiency and productivity change,this study creates five decision-making matrixes for five periods,respectively,from 2015 to 2020 to position the food and beverage firms in each *** analytical results provide instructions to senior managers on developing strategy for increasing efficiency of food and beverage listed companies in Vietnam.

关键词： Food and beverage industry data envelopment analysis Malmquist productivity index super-SBM model efficiency productivity

Optimizing Big Data Retrieval and Job Scheduling Using Deep Learning Approaches

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Computer Modeling in Engineering & Sciences 2023年第2期134卷 783-815页

作者： Bao Rong Chang Hsiu-Fen tsai Yu-Chieh lin Department of Computer Science and Information Engineering National University of KaohsiungKaohsiungTaiwan Department of Fragrance and Cosmetic Science Kaohsiung Medical UniversityKaohsiungTaiwan

Big data analytics in business intelligence do not provide effective data retrieval methods and job scheduling that will cause execution inefficiency and low system *** paper aims to enhance the capability of data retrieval and job scheduling to speed up the operation of big data analytics to overcome inefficiency and low throughput ***,integrating stacked sparse autoencoder and Elasticsearch indexing explored fast data searching and distributed indexing,which reduces the search scope of the database and dramatically speeds up data ***,exploiting a deep neural network to predict the approximate execution time of a job gives prioritized job scheduling based on the shortest job first,which reduces the average waiting time of job *** a result,the proposed data retrieval approach outperforms the previous method using a deep autoencoder and Solr indexing,significantly improving the speed of data retrieval up to 53%and increasing system throughput by 53%.On the other hand,the proposed job scheduling algorithmdefeats both first-in-first-out andmemory-sensitive heterogeneous early finish time scheduling algorithms,effectively shortening the average waiting time up to 5%and average weighted turnaround time by 19%,respectively.

关键词： Stacked sparse autoencoder Elasticsearch distributed indexing data retrieval deep neural network job scheduling

Real-Time Human Body Motion Capturing System

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Journal of Electronic Science and Technology 2017年第2期15卷 115-122页

作者： Chung-lin Huang Chien-Wei Hsu Zhi-Ren tsai Department of M-Commerce and Multimedia Applications Asia UniversityTaichung 41354 MediaTek Inc.Hsinchu department of computer science and information engineering Asia UniversityTaichung 41354

This paper proposes a human body motion capturing system using the depth images. It consists of three processes to estimate the human pose parameters. First, we develop a pixel-based body part classifier to segment the human silhouette into different body part sub-regions and extract the primary joints. Second, we convert the distribution of the joints to the feature vector and apply the regression forest to estimate human pose parameters. Third, we apply the temporal constraints mechanism to find the best human pose parameter with the minimum estimation error. In experiments, we show that our system can operate in real-time with sufficient accuracy.

关键词： Index Terms-Motion capturing random forest classifier regression forest.

Discussion of the Composition of Jaboticaba in Different Processes

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