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Multimodal deep learning models utilizing chest X-ray and electronic health record data for predictive screening of acute heart failure in emergency department

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Computer Methods and programs in Biomedicine 2024年 255卷 108357页

作者： Lee, Chih-Kuo Chen, Ting-Li Wu, Jeng-En Liao, Min-Tsun Wang, Chiehhung Wang, Weichung Chou, Cheng-Ying Department of Internal Medicine National Taiwan University Hospital Hsin-Chu Branch No. 25 Ln. 442 Sec. 1 Jingguo Rd. Taiwan Hsinchu300 Taiwan Institute of Statistical Science Academia Sinica 128 Academia Rd. Nankang Taiwan Taipei11529 Taiwan Master Program in Statistics National Taiwan University 1 Sec. 4 Roosevelt Rd. Taiwan Taipei106 Taiwan Data Science Degree Program National Taiwan University 1 Sec. 4 Roosevelt Rd. Taiwan Taipei106 Taiwan Institute of Applied Mathematical Sciences National Taiwan University 1 Sec. 4 Roosevelt Rd. Taiwan Taipei106 Taiwan Department of Biomechatronics Engineering National Taiwan University 1 Sec. 4 Roosevelt Rd. Taiwan Taipei106 Taiwan

Background and Objectives: Ambiguity in diagnosing acute heart failure (AHF) leads to inappropriate treatment and potential side effects of rescue medications. To address this issue, this study aimed to use multimodality deep learning models combining chest X-ray (CXR) and electronic health record (EHR) data to screen patients with abnormal N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels in emergency departments. Methods: Using the open-source dataset MIMIC-IV and MIMIC[sbnd]CXR, the study population consisted of 1,432 patients and 1,833 pairs of CXRs and EHRs. We processed the CXRs, extracted relevant features through lung-heart masks, and combined these with the vital signs at triage to predict corresponding NT-proBNP levels. Results: The proposed method achieved a 0.89 area under the receiver operating characteristic curve by fusing predictions from single-modality models of heart size ratio, radiomic features, CXR, and the region of interest in the CXR. The model can accurately predict dyspneic patients with abnormal NT-proBNP concentrations, allowing physicians to reduce the risks associated with inappropriate treatment. Conclusion: The study provided new image features related to AHF and offered insights into future research directions. Overall, these models have great potential to improve patient outcomes and reduce risks in emergency departments. © 2024 Elsevier B.V.

关键词： Image segmentation

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Fabrication and electroluminescent property of OLED with boron-complex 3

Fabrication and electroluminescent property of OLED with bor...

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3rd International Conference on Electron Device and Mechanical engineering, ICEDME 2020

作者： Lin, Yu-Feng Yeh, Anchi Chen, Sheng-Lee Fanny Lin, M.-F. ChungYuan Christiant University Department of Chemical and Materials Engineering Taoyuan Taiwan Chengshiu University Department of Cosmetic and Fashion Styling Kaohsiung Taiwan Hsing Wu University of Science and Technology Center of General Education Taoyuan Taiwan Long Island University at CW Post Master Program of Education New York United States

ISBN: (纸本)9781728181455

A novel luminescence boron compound, [2-(4, 5- diphenyl-1-imidazole-2-yl) pyridine] (DPIP-BPh2), has been synthesized by the reaction of pyridine-imidazole- based ligand. The decomposed temperature of DPIP-BPh2 is high than 200°C by thermogravimetric analyzer (TGA). For the three-layer organic light-emitting diodes (OLED) with the structure ITO/NPB/DPIP-BPh2/Alq3/Mg-Ag, an emission band centering at 490 nm with the maximum brightness of 1300 cd/m2 was observed, indicating a perfect blue OLED (CIE= 0.22, 0.36). DPIP-BPh2 forms a new family of organometallic emitting materials which which may bring benefits to people in practical applications. © 2020 IEEE.

关键词： Pyridine

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The diversity of active microbial groups in an activated sludge process treating painting process wastewater 6

The diversity of active microbial groups in an activated slu...

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6th Environmental Technology and Management Conference, ETMC 2019

作者： Ariesyady, Herto Dwi Mayanda, Mentari Rizki Ito, Tsukasa Environmental Management Technology Research Group Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Jl. Ganesha 10 Bandung40132 Indonesia Master's Program of Environmental Engineering Institut Teknologi Bandung Jl. Ganesha 10 Bandung40132 Indonesia Department of Environmental Engineering Science Gunma University Kiryu Gunma376-8515 Japan

Activated sludge process is one of the wastewater treatment method that is applied for many wastewater types including painting process wastewater of automotive industry. This wastewater is well-known to have high heavy metals concentration which could deteriorate water environment if appropriate performance of the wastewater treatment could not be achieved. In this study, we monitored microbial community diversity in a Painting Biological Treatment (PBT) system. We applied a combination of cultivation and genotypic biological methods based on 16S rRNA gene sequence analysis to identify the diversity of active microbial community. The results showed that active microbes that could grow in this activated sludge system were dominated by Gram-negative bacteria. Based on 16S rRNA gene sequencing analysis, it was revealed that their microbial diversity has close association with Bacterium strain E286, Isosphaera pallida, Lycinibacillus fusiformis, Microbacterium sp., Orchobactrum sp., Pseudomonas guariconensis, Pseudomonas sp. strain MR84, Pseudomonas sp. MC 54, Serpens sp., Stenotrophomonas acidaminiphila, and Xylella fastidiosa with similarity of 86 - 99%. This findings reflects that microbial community in a Painting Biological Treatment (PBT) system using activated sludge process could adapt with xenobiotics in the wastewater and has a wide range of diversity indicating a complex metabolism mechanism in the treatment process. © 2020 The Authors, published by EDP sciences.

关键词： Activated sludge process

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Electro-Fenton for Industrial Wastewater Treatment: A Review 4

Electro-Fenton for Industrial Wastewater Treatment: A Review

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4th International Conference on Energy, Environment, Epidemiology and Information System, ICENIS 2019

作者： Marlina, Elin Purwanto Master Program of Environmental Science School of Postgraduate Studies Diponegoro University Semarang Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University Semarang Indonesia

Electro-Fenton is part of electrochemical advanced oxidation processes (EAOPs) which have been widely used to treat various types of waste such as color, drugs, phenol compounds, leachate, surfactants, and others. This article focuses on the effects of various operating parameters and recent developments in the electro-Fenton process, and then their optimum ranges for maximum pollutant removal and various pollutants removed by this process is observed. © The Authors, published by EDP sciences, 2019.

关键词： Wastewater treatment

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Implementation of UI GreenMetric at Diponegoro University in order to Environmental Sustainability Efforts 4

Implementation of UI GreenMetric at Diponegoro University in...

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4th International Conference on Energy, Environment, Epidemiology and Information System, ICENIS 2019

作者： Lourrinx, Effine Hadiyanto Budihardjo, Mochamad Arief Master Program of Environmental Science School of Postgraduate Studies Diponegoro University Semarang Indonesia Department of Environmental Engineering Faculty of Engineering Diponegoro University Semarang Indonesia

Green campus is a concept, which integrates environmental science into policy, management and activities of the college. Green campus is also the implementation of the integration of environmental science in all aspects of management and sustainable development practices. Therefore, the standards for referral and encouragement to management in developing a green campus program are needed, one of which is UI GreenMetric. The purpose of this study are to determine how the program of UI GreenMetric is implemented at Diponegoro University and to provide recommendations in the category or indicator that has not been fulfilled. Optimizing the implementation of UI GreenMetric can be used as a further reference in the development of green campus concept in Indonesia. This study uses data in the form of a literature study of standards and guidelines used by UI GreenMetric which are considered in accordance with the strategy of increasing effectiveness in implementing green campus. The results showed the value obtained by Diponegoro University in the UI GreenMetric World University Rankings standards. © The Authors, published by EDP sciences, 2019.

关键词： Sustainable development

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Cryptanalysis and improvement of the measurement-device-independent quantum key distribution with hyper-encoding

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Modern Physics Letters A 2022年第31期37卷

作者： Lin, Jason Tsai, Chia-Wei Yang, Chun-Wei Department of Computer Science and Engineering National Chung Hsing University No. 145 Xingda Rd. South District Taichung 40227 Taiwan Department of Computer Science and Information Engineering National Taichung University of Science and Technology No. 129 Sec. 3 Sanmin Rd. North District Taichung 40401 Taiwan Master Program for Digital Health Innovation College of Humanities and Sciences China Medical University No. 100 Sec. 1 Jingmao Rd. Beitun District Taichung 406040 Taiwan

Recently, Cui et al. [Sci. China Phys. 62, 110311 (2019)] proposed a measurement-device-independent quantum key distribution (MDI-QKD) scheme based on high-dimensional encoding to increase the channel capacity of each individual photon. A secret key is shared among two legitimate parties via the help of a dishonest third-party (TP). They claimed that the proposed protocol can improve the drawback of the low-key generation rate that existed in the past MDI-QKD schemes. However, this study pointed out a loophole during the security check of TP. That is, the two legitimate participants merely use the corresponding qubit pairs that are both generated in the diagonal basis for the discussion, which leads to a potential attack that not only allows TP to avoid the security check but also creates partial inconsistency of key bits for both communicating sides. Fortunately, this problem can be fixed by a minor correction of the protocol. © World Scientific Publishing Company.

关键词： dishonest third party Measurement-device-independent quantum cryptography quantum key distribution

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The effect of chitosan hybrid nanoparticle-based nanovaccines (C-Nps) on the tissue damage of cantang grouper fish infected with viral nervous necrosis

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AIP Conference Proceedings 2024年第1期3027卷

作者： Uun Yanuhar Gunanti Mahasri Heru Suryanto Salman Bin Yunus Syamlan Nur Sakinah Junirahma Nico Rahman Caesar Aquatic Resources Management Faculty of Fisheries and Marine Science Universitas Brawijaya Malang East Java 65145 Indonesia Department of Aquaculture Faculty of Fisheries and Marine Universitas Airlangga Surabaya East Java 60115 Indonesia Department of Mechanical Engineering Faculty of Engineering Universitas Negeri Malang Malang East Java Indonesia Master Program of Aquaculture Faculty of Fisheries and Marine Science University of Brawijaya Malang East Java 65145 Indonesia Doctoral Program of Environmental Science Postgraduate Program University of Brawijaya Malang East Java 65415 Indonesia

The Cantang Grouper (Epinephelus fuscoguttatus-lanceoulatus) is a mating of the female Tiger Grouper fish (Epinephelus fuscoguttatus) and the male Kertang grouper fish (Epinephelus lanceoulatus). However, in farming activities, the Cantang Grouper fish can be affected by a VNN infection. One way to deal with the VNN infection is by giving recombinant nano-vaccine from the microalga Chlorella Vulgaris. This study aims to determine the effect of recombinant nano-vaccine administration of the microalgae Chlorella Vulgaris on the growth of the fish weight, length, and eye tissue in the Cantang grouper fish (Epinephelus fuscoguttatus lanceolatus) infected with Viral Nervous Necrosis (VNN). The method used in this study is experimental. The test results showed that the administration of the recombinant C. vulgaris (p-PerCv) vaccine affected the growth in length and weight of the Cantang grouper, this was because the growth in length and weight of its from the treatment group was significantly different from the control group (0.039<0.05). Known by the ANOVA test and also has a different effect on the level of damage to eye tissue both damage to hypertrophy, vacuolization, and necrosis. The results of the Tukey test showed that the treatment that had a significant effect was the T1 treatment (treatment of healthy fish +33l of recombinant C. vulgaris vaccine (p-PerCv) +8.5l of Chitosan nanoparticles).

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A Vehicle Forensics framework with Post-Quantum Cryptography and Blockchain

A Vehicle Forensics framework with Post-Quantum Cryptography...

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IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

作者： Chien-Lung Hsu Yi-Cheih Hsu Yu-Jen Shih Cheng-Wei Wu Fu-Hau Hsu Graduate Institute of Management Chang Gung University Taiwan Taoyuan R.O.C Department of Information Management Chang Gung University Taiwan Taoyuan R.O.C Healthy Aging Research Center Chang Gung University Taiwan Taoyuan R.O.C Department of Visual Communication Design Ming-Chi University of Technology Taiwan Taoyuan R.O.C Chang-Gung Memorial Hospital Taiwan Taoyuan R.O.C Department of Master of Science Degree Program in Innovation for Smart Medicine Chang Gung University Taiwan Taoyuan R.O.C Computer Science& Information Engineering National Central University Taiwan Taoyuan R.O.C Information Management Chang Gung University Taiwan Taoyuan R.O.C

ISBN: (数字)9798350389210

ISBN: (纸本)9798350389227

With the recent rapid development of the Internet of Vehicles and autonomous driving technology, the demand for digital vehicle identification has also increased. Coupled with the gradual maturity of quantum technology, the Internet of Vehicles, which mainly uses wireless communication technology for data transmission, will face the threat of quantum computing and privacy issues. This research proposes the Vehicle Forensics Cloud System (VFCS), a framework combining post-quantum cryptography and blockchain technology to address these issues and provide a comprehensive solution for vehicle digital forensics.

关键词： Wireless communication Quantum computing Digital forensics Insurance Signal processing Blockchains Safety Autonomous vehicles Interoperability Internet of Vehicles

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Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones

arXiv

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arXiv 2024年

作者： Jin, Qiangguo Huang, Jiapeng Sun, Changming Cui, Hui Xuan, Ping Su, Ran Wei, Leyi Wu, Yu-Jie Wu, Chia-An Duh, Henry B.L. Lu, Yueh-Hsun School of Software Northwestern Polytechnical University Shaanxi China Yangtze River Delta Research Institute of NPU Suzhou China CSIRO Data61 Sydney Australia Department of Computer Science and Information Technology La Trobe University Melbourne Australia School of Engineering Shantou University Guangdong China College of Intelligence and Computing Tianjin University Tianjin China School of Information Xiamen University Xiamen China AIDD Faculty of Applied Science Macao Polytechnic University China Department of Radiology Shuang-Ho Hospital Taipei Medical University Taipei Taiwan Master of Public Health Program National Yang Ming Chiao Tung University Taipei Taiwan School of Design The Hong Kong Polytechnic University Hong Kong Department of Radiology School of Medicine College of Medicine Taipei Medical University Taipei Taiwan

The precise diagnosis of urinary stones is crucial for devising effective treatment strategies. The diagnostic process, however, is often complicated by the low contrast between stones and surrounding tissues, as well as the variability in stone locations across different patients. To address this issue, we propose a novel location embedding based pairwise distance learning network (LEPD-Net) that leverages low-dose abdominal X-ray imaging combined with location information for the fine-grained diagnosis of urinary stones. LEPD-Net enhances the representation of stone-related features through context-aware region enhancement, incorporates critical location knowledge via stone location embedding, and achieves recognition of fine-grained objects with our innovative fine-grained pairwise distance learning. Additionally, we have established an in-house dataset on urinary tract stones to demonstrate the effectiveness of our proposed approach. Comprehensive experiments conducted on this dataset reveal that our framework significantly surpasses existing state-of-the-art methods. Copyright © 2024, The Authors. All rights reserved.

关键词： Embeddings

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Author Correction: SARS-CoV-2 infection engenders heterogeneous ribonucleoprotein interactions to impede translation elongation in the lungs

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EXPERIMENTAL AND MOLECULAR MEDICINE 2023年第12期55卷 2609-2609页

作者： Kim, Junsoo Youn, Daehwa Choi, Seunghoon Lee, Youn Woo Sumberzul, Dulguun Yoon, Jeongeun Lee, Hanju Bae, Jong Woo Noh, Hyuna On, Dain Hong, Seung-Min An, Se-Hee Jang, Hui Jeong Kim, Seo Yeon Kim, Young Been Hwang, Ji-Yeon Lee, Hyo-Jung Kim, Hong Bin Park, Jun Won Yun, Jun-Won Shin, Jeon-Soo Seo, Jun-Young Nam, Ki Taek Choi, Kang-Seuk Lee, Ho-Young Chang, Hyeshik Seong, Je Kyung Cho, Jun Center for RNA Research Institute for Basic Science (IBS) Seoul National University Seoul Republic of Korea Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea Department of Biomedical Science and Engineering Gwangju Institute of Science and Technology (GIST) Gwangju Republic of Korea Korea Mouse Phenotyping Center (KMPC) Seoul National University Seoul Republic of Korea Laboratory of Developmental Biology and Genomics Research Institute for Veterinary Science and BK 21 PLUS Program for Creative Veterinary Science Research College of Veterinary Medicine Seoul National University Seoul Republic of Korea Department of Nuclear Medicine Seoul National University Bundang Hospital Seongnam Republic of Korea School of Biological Sciences Seoul National University Seoul Republic of Korea Laboratory of Avian Diseases Research Institute for Veterinary Science and BK 21 PLUS Program for Creative Veterinary Science Research College of Veterinary Medicine Seoul National University Seoul Republic of Korea Preclinical Research Center Seoul National University Bundang Hospital Seongnam Republic of Korea Department of Periodontology Section of Dentistry Seoul National University Bundang Hospital Seongnam Republic of Korea Department of Internal Medicine Seoul National University Bundang Hospital Seoul National University College of Medicine Seongnam Republic of Korea Division of Biomedical Convergence College of Biomedical Science Kangwon National University ChunCheon Republic of Korea Laboratory of Veterinary Toxicology College of Veterinary Medicine Seoul National University Seoul Republic of Korea Severance Biomedical Science Institute Graduate School of Medical Science Brain Korea 21 Project Yonsei University College of Medicine Seoul Republic of Korea Department of Nuclear Medicine Seoul National University College of Medicine Seoul Republic of Korea Interdisciplinary Program and BIO MAX Institute Seoul National University

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