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IEEE International Conference on Healthcare Informatics (ICHI)

作者： Saki Tsumoto Fusae Kawana Kazumasa Horie Minori Masaki Kei Nishida Kazuya Miyanishi Jaehoon Seol Morie Tominaga Takashi Amemiya Tetsuro Hiei Akihiro Tani Masaki Matsubara Atsuyuki Morishima Hiroyuki Kitagawa Masashi Yanagisawa Ph.D. Program in Humanics University of Tsukuba Tsukuba Japan Juntendo University Graduate School of Medicine Tokyo Japan Center for Computational Sciences (CCS) University of Tsukuba Tsukuba Japan Faculty of Health and Sports Sciences University of Tsukuba Tokyo Japan S ‘ UIMIN Inc Tokyo Japan Institute of Library Information and Media Science University of Tsukuba Tsukuba Japan International Institute for Integrative Sleep Medicine (WPI-IIIS)) University of Tsukuba Tsukuba Japan

ISBN: (数字)9798350383737

ISBN: (纸本)9798350383744

Sleep is a very important activity, but many people do not know their own sleep conditions. A sleep test personalizes sleep quality assessment and detects potential sleep disorders by measuring biological signals. The rise in sleep-related issues has necessitated the development of automated testing methods. Machine learning plays a pivotal role in interpreting sleep data and determining sleep stages. However, the generation of detailed reports and tailored recommendations still demands expert intervention. Automating the report generation to provide personalized sleep insights is a crucial and desired step for the future of sleep healthcare. Recently emerged Generative AI, such as ChatGPT, has attracted considerable attention in recent years. It can generate new sentences and images from input data. In this study, we investigate the practicality and applicability of using ChatGPT to generate narrative sleep reports for sleep test. In our proposed method, GPT-4 receives the information about the sleep habits of the participants and the sleep assessment automatically summarized by the rule-based algorithm. In the evaluation, we used in-home sleep EEG data obtained from 100 subjects by S'UIMIN inc. The generated reports were evaluated by experienced technicians and physicians on a 5- point scale for medical correctness and appropriateness as informative reports. The results of the evaluation showed that 60 % of the reports were the acceptable or above range in both aspects. While more than half of the results were judged to be above the acceptable range, differences between the generative AI and humans were also identified. Whereas humans comment on semantically weighted important findings such as medication and subjective insomnia, ChatGPT tends to make broad, shallow and flat comments on the input data. These facts suggest that although practical report generation only using generative AI is at present not easy, generative AI is a promising tool for improving the ef

关键词： Sleep Generative AI Medical services Machine learning Chatbots Electroencephalography Quality assessment

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Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks 35

Explaining heterogeneity in medial entorhinal cortex with ta...

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35th Conference on Neural Information Processing Systems, NeurIPS 2021

作者： Nayebi, Aran Attinger, Alexander Campbell, Malcolm G. Hardcastle, Kiah Low, Isabel I.C. Mallory, Caitlin S. Mel, Gabriel C. Sorscher, Ben Williams, Alex H. Ganguli, Surya Giocomo, Lisa M. Yamins, daniel L.K. Neurosciences Ph.D. Program Stanford University United States Department of Neurobiology Stanford University United States Department of Computer Science Stanford University United States Department of Applied Physics Stanford University United States Department of Psychology Stanford University United States Department of Statistics Stanford University United States Wu Tsai Neurosciences Institute Stanford University United States Facebook AI Research Facebook Inc. United States

ISBN: (纸本)9781713845393

Medial entorhinal cortex (MEC) supports a wide range of navigational and memory related behaviors. Well-known experimental results have revealed specialized cell types in MEC - e.g. grid, border, and head-direction cells - whose highly stereotypical response profiles are suggestive of the role they might play in supporting MEC functionality. However, the majority of MEC neurons do not exhibit stereotypical firing patterns. How should the response profiles of these more "heterogeneous" cells be described, and how do they contribute to behavior? In this work, we took a computational approach to addressing these questions. We first performed a statistical analysis that shows that heterogeneous MEC cells are just as reliable in their response patterns as the more stereotypical cell types, suggesting that they have a coherent functional role. Next, we evaluated a spectrum of candidate models in terms of their ability to describe the response profiles of both stereotypical and heterogeneous MEC cells. We found that recently developed task-optimized neural network models are substantially better than traditional grid cell-centric models at matching most MEC neuronal response profiles - including those of grid cells themselves - despite not being explicitly trained for this purpose. Specific choices of network architecture (such as gated nonlinearities and an explicit intermediate place cell representation) have an important effect on the ability of the model to generalize to novel scenarios, with the best of these models closely approaching the noise ceiling of the data itself. We then performed in silico experiments on this model to address questions involving the relative functional relevance of various cell types, finding that heterogeneous cells are likely to be just as involved in downstream functional outcomes (such as path integration) as grid and border cells. Finally, inspired by recent data showing that, going beyond their spatial response selectivity, MEC cells

关键词： Cells

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Ginkgolide B facilitates muscle regeneration via rejuvenating osteocalcin-mediated bone-to-muscle modulation in aged mice

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Journal of cachexia, sarcopenia and muscle 2023年第3期14卷 1349-1364页

作者： Belle Yu-Hsuan Wang Yi-Fan Chen Allen Wei-Ting Hsiao Wan-Jing Chen Chien-Wei Lee Oscar Kuang-Sheng Lee Musculoskeletal Research Laboratory SH Ho Scoliosis Research Laboratory Department of Orthopaedics and Traumatology Faculty of Medicine The Chinese University of Hong Kong Hong Kong. Center for Neuromusculoskeletal Restorative Medicine CUHK InnoHK Centres Hong Kong Science Park Hong Kong. The Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei Taiwan. Graduate Institute of Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei Taiwan. International Ph.D. Program for Translational Science College of Medical Science and Technology Taipei Medical University Taipei Taiwan. Master Program in Clinical Genomics and Proteomics School of Pharmacy Taipei Medical University Taipei Taiwan. Department of Orthopaedics and Traumatology Faculty of Medicine Prince of Wales Hospital The Chinese University of Hong Kong Hong Kong. Center for Translational Genomics & Regenerative Medicine Research China Medical University Hospital China Medical University Taichung Taiwan. Department of Biomedical Engineering China Medical University Taichung Taiwan. Department of Orthopedics China Medical University Hospital Taichung Taiwan. Institute of Clinical Medicine National Yang Ming Chiao Tung University Taipei Taiwan.

BACKGROUNd:The progressive deterioration of tissue-tissue crosstalk with aging causes a striking impairment of tissue homeostasis and functionality, particularly in the musculoskeletal system. Rejuvenation of the systemic and local milieu via interventions such as heterochronic parabiosis and exercise has been reported to improve musculoskeletal homeostasis in aged organisms. We have shown that Ginkgolide B (GB), a small molecule from Ginkgo biloba, improves bone homeostasis in aged mice by restoring local and systemic communication, implying a potential for maintaining skeletal muscle homeostasis and enhancing regeneration. In this study, we investigated the therapeutic efficacy of GB on skeletal muscle regeneration in aged mice. METHOdS:Muscle injury models were established by barium chloride induction into the hind limb of 20-month-old mice (aged mice) and into C2C12-derived myotubes. Therapeutic efficacy of daily administrated GB (12 mg/kg body weight) and osteocalcin (50 μg/kg body weight) on muscle regeneration was assessed by histochemical staining, gene expression, flow cytometry, ex vivo muscle function test and rotarod test. RNA sequencing was used to explore the mechanism of GB on muscle regeneration, with subsequent in vitro and in vivo experiments validating these findings. RESULTS:GB administration in aged mice improved muscle regeneration (muscle mass, P = 0.0374; myofiber number/field, P = 0.0001; centre nucleus, embryonic myosin heavy chain-positive myofiber area, P = 0.0144), facilitated the recovery of muscle contractile properties (tetanic force, P = 0.0002; twitch force, P = 0.0005) and exercise performance (rotarod performance, P = 0.002), and reduced muscular fibrosis (collagen deposition, P < 0.0001) and inflammation (macrophage infiltration, P = 0.03). GB reversed the aging-related decrease in the expression of osteocalcin (P < 0.0001), an osteoblast-specific hormone, to promote muscle regeneration. Exogenous osteocalcin supplementation was

关键词： Ginkgolide B aging osteocalcin rejuvenation skeletal muscle regeneration

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Nanomaterials in the treatment and diagnosis of rheumatoid arthritis: Advanced approaches

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SLAS Technology 2024年第4期29卷 100146页

作者： Angela, Stefanny Fadhilah, Gianna Hsiao, Wesley Wei-Wen Lin, Hsuan-Yi Ko, Joshua Lu, Steven Che-Wei Lee, Cheng-Chung Chang, Yu-Sheng Lin, Ching-Yu Chang, Huan-Cheng Chiang, Wei-Hung Department of Chemical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu Taiwan The Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei Taiwan Division of Allergy Immunology and Rheumatology Department of Internal Medicine Shuang Ho Hospital New Taipei City Taiwan Division of Allergy Immunology and Rheumatology Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei Taiwan The Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan School of Medical Laboratory Science and Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan Institute of Atomic and Molecular Sciences Academia Sinica Taipei Taiwan Department of Chemistry National Taiwan Normal University Taipei Taiwan Center National Taiwan University of Science and Technology Taipei Taiwan Advanced Manufacturing Research Center National Taiwan University of Science and Technology Taipei Taiwan

Rheumatoid arthritis (RA), a chronic inflammatory condition that affects persons between the ages of 20 and 40, causes synovium inflammation, cartilage loss, and joint discomfort as some of its symptoms. diagnostic techniques for RA have traditionally been split into two main categories: imaging and serological tests. However, significant issues are associated with both of these methods. Imaging methods are costly and only helpful in people with obvious symptoms, while serological assays are time-consuming and require specialist knowledge. The drawbacks of these traditional techniques have led to the development of novel diagnostic approaches. The unique properties of nanomaterials make them well-suited as biosensors. Their compact dimensions are frequently cited for their outstanding performance, and their positive impact on the signal-to-noise ratio accounts for their capacity to detect biomarkers at low detection limits, with excellent repeatability and a robust dynamic range. In this review, we discuss the use of nanomaterials in RA theranostics. Scientists have recently synthesized, characterized, and modified nanomaterials and biomarkers commonly used to enhance RA diagnosis and therapy capabilities. We hope to provide scientists with the promising potential that nanomaterials hold for future theranostics and offer suggestions on further improving nanomaterials as biosensors, particularly for detecting autoimmune disorders. © 2024

关键词： Nanocomposites

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The Smart Analysis of Performing Scalable Inference for Big data Analytics

The Smart Analysis of Performing Scalable Inference for Big ...

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International Conference on Power Energy, Environment and Intelligent Control (PEEIC)

作者： Vishakha d Bhandarkar Aruna Sri Rongali Mohamed dawood Shamout Prof. Sachin Pund Gigih Forda Nama Shrishailappa Patil Applied Mathematics and Humanities Yeshwantrao Chavan College of Engineering India Graduate Doctoral Information Technology/Graduate (Information Technology Emphasis/Information Technology Ph.D.) University of The Cumberlands US Department of Management College of Business Administration University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering Shri Ramdeobaba College of Engineering and Management Nagpur Maharashtra India Department of Informatics Doctoral Program of Environtmental Science University of Lampung Bandar Lampung Computer engineering Vishwakarma Institute of Technology Pune

This paper examines the reproducibility of massive information analytics under particular factors. The paper proposes the “performing Scalable Inference” technique to cope with scalability troubles and to exploit current big statistics platforms for efficient computing and statistics garage of the statistics. In particular, the paper describes how to perform leak-free, parallelizable visible analytics over massive datasets using present extensive records analytics frameworks such as Apache Flink. This method presents an automated manner to execute analytics that preserves reproducibility and the ability to make adjustments without re-running the entire technique. The paper also demonstrates how these analytics may help several real-world use instances, explore affected person cohorts for studies, and develop stratified patient cohorts for hospital therapy. In the end, the paper observes how the proposed method may be exercised within the real world. Actively scalable inference for massive information analytics is pivotal in optimizing decision-making and allocation of assets. Typically, such inferences are made based on information accumulated from numerous sources, databases, unstructured data, and different digital sources. So one can ensure scalability, a complete cloud-primarily based platform has to be hired. This solution will permit the ***, deploying the essential records series and evaluation algorithms are prime here. It could permit the platform to recognize the styles inside the statistics and discover any ability correlations or traits. Additionally, predictive analytics and system mastering strategies may be incorporated to provide insights into the results of the information. In the long run, by leveraging those techniques, the platform can draw efficient inferences and appropriately compare situations in an agile and green way..

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#136 : Osteopontin Facilitates Embryo Growth, Implantation, and Cellular Metabolism via Interacting withαvβ3 and RGS2 Pathway: Evidence from Mouse Embryos and a 3d In-Vitro Implantation Model

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Fertility & Reproduction 2023年第4期5卷 706-706页

作者： Nguyen Tuong Ho Pei-Yu Liao Chii Tzeng Shu-Huei Kao International Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei Taiwan School of Medical Laboratory Science and Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan Taipei Fertility Center Taipei Taiwan Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan

Background and Aims: We conducted a study on mice to investigate how osteopontin, a mediator of cell-cell and cell-extracellular matrix (ECM) communication and invasion, influences embryonic development, metabolism, and implantation potential, with confirmation by a 3d in-vitro implantation model. Method: Embryos were collected from female mice and cultured under different conditions: HTF only, HTF supplemented with OPN at different doses, and OPN-supplemented HTF with anti- α v β 3 Ab or RGS2 inhibitors. Embryo morphology, development, and implantation rates were evaluated. Microarrays were used to evaluate gene expression profiling. Choriocarcinoma JAR and epithelial RL95-2 cell lines were adopted for the in-vitro implantation model. Oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) were used to measure cellular metabolism levels. Results: The supplementation of OPN best enhanced the rate of embryo hatching-out and implantation onto the matrigel at 100 nM, but a higher degeneration rate was seen at a higher concentration ( ≥ 200 nM). In OPN-treated embryos, microarray analysis showed 51 significantly down-regulated genes and 60 up-regulated genes, including RGS2. Inhibition of α v β 3 integrin decreased embryo implantation rates and down-regulated RGS2. Validation of the 3d implantation model using JAR spheroids and RL95-2 monolayer showed a similar effect. OPN also increased OCR and ECAR of the JAR cells, and migration assays revealed increased migration ability in OPN-overexpressed JAR cells, which was then inhibited by α v β 3 and RGS2 inhibitors. Conclusion: Osteopontin, at a reasonable concentration, could enhance embryo development and implantation by interacting with α v β 3 integrin, subsequently facilitating the RGS2 pathway. OPN has the potential to be a supplement during in vitro embryo culture in ART intervention.

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Removal of nitrogen and phosphorus pollutants from swine wastewater

Removal of nitrogen and phosphorus pollutants from swine was...

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2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021

作者： Nguyen, Minh-Ky Lin, Chitsan Nhut, Huynh Tan Trung Hiep, Nguyen Hung, Nguyen T.Q. Huu Tuan, Tran National Kaohsiung University of Science and Technology College of Maritime Ph.D. Program In Maritime Science and Technology Kaohsiung Taiwan National Kaohsiung University of Science and Technology Department of Marine Environmental Engineering Kaohsiung Taiwan Nong Lam University of Ho Chi Minh City Faculty of Environment and Natural Resources Ho Chi Minh Viet Nam National Kaohsiung University of Science and Technology College of Maritime Kaohsiung Taiwan

ISBN: (纸本)9781665419512

This study investigated the simultaneous removal of nitrogen and phosphorus from swine wastewater by a magnesium ammonium phosphate crystallization. The precipitation of struvite was determined from swine wastewater, obtaining the optimal ph, Mg/N/P molar ratio, and reaction time were 9.0, 1.6/1/1.5 and 30 min, respectively. Ammonium and phosphate removal efficiencies were 98.1 ± 0.5% and 98.9 ± 0.4% under optimal conditions, and the highest crystallization mass obtained was 14.6 ± 0.6 g/L. Results illustrated that struvite precipitation is an efficient method for removing ammonium and phosphate in swine wastewater. © 2021 IEEE.

关键词： phosphorus

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A Review on Analytical Approaches for Ambient Ozone Open data in Taiwan

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Current Pollution Reports 2024年第3期10卷 374-386页

作者： Nguyen, duy-Hieu Liao, Chih-Hsiang Bui, Xuan-Thanh Yuan, Chung-Shin Lin, Chitsan Ph.D. Program in Maritime Science and Technology College of Maritime National Kaohsiung University of Science and Technology Kaohsiung Taiwan (R.O.C.) Department of Environmental Engineering and Science Chia-Nan University of Pharmacy and Science Tainan Taiwan (R.O.C.) Key Laboratory of Advanced Waste Treatment Technology & Faculty of Environment and Natural Resources Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam Vietnam National University Ho Chi Minh City (VNU-HCM) Ho Chi Minh City Vietnam Institute of Environmental Engineering National Sun Yat-Sen University Kaohsiung Taiwan (R.O.C.) Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan (R.O.C.)

The air quality in Taiwan is significantly impacted by ambient ozone (O3) pollution, which poses a challenge in terms of control due to the involvement of precursors and influencing factors in its photochemical process. This review investigates the measures that have been implemented in Taiwan over the past two decades to address this issue and evaluate their effectiveness in reducing O3 concentrations. Furthermore, it highlights relevant studies that have employed advanced methods to examine the O3 problem. Comprehending the complex formation of O3 and its driving factors is crucial in efficiently managing O3 pollution. Nevertheless, accurately quantifying the impacts of these factors can be challenging due to their interconnections. To bridge this gap in knowledge, conducting a robust causality analysis becomes imperative to accurately quantify the causal influence of major factors. Furthermore, eliminating seasonal variations can improve the precision and accuracy of trend analyses concerning long-term changes in O3 concentrations. deep learning, in particular, holds significant advantages in predicting O3 concentrations as it can capture non-linear and long-term memory characteristics effectively. In summary, attaining acceptable O3 levels in Taiwan is challenging due to its geographical location, which makes it susceptible to air pollution from both local sources as well as distant upwind areas. The utilization of advanced methods is essential for comprehensively studying the evolution of O3 and formulating effective mitigation measures. While there is a necessity to develop new analytical methods, implementing existing robust methodologies can also provide valuable insights into the dynamics and impacts of O3. By leveraging these approaches, we can enhance our comprehension of O3 pollution in Taiwan and develop effective strategies to mitigate its harmful effects on air quality.

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Characterization of VOCs during diesel oil composting process

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Bioresource Technology Reports 2023年 22卷

作者： Lin, Tachen Kuo, Shulung Hussain, Adnan Chen, Zhigui Huang, Manlin Lin, Chitsan School of Food and Chemical Engineering Liuzhou Institute of Technology Guangxi Liuzhou545000 China Kelee Environmental Consultants Corporation Kaohsiung City806040 Taiwan Ph.D. Program of Aquatic Science and Technology National Kaohsiung University of Science and Technology Kaohsiung811213 Taiwan Continental Water Engineering Corporation Taipei City103018 Taiwan School of Food Science and Engineering Beibu Gulf University Guangxi Qinzhou535011 China Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung City811213 Taiwan

By composting kitchen waste, deisel-contaminated soil was treated and volatile organic compound (VOC) emissions were assessed. Composting kitchen waste reduces contamination volume due to gas emissions. An aerobic treatment period of 12 days was conducted for the measurements of VOC emissions from different phases, such as gaseous, solid, and leachate, were conducted throughout the experiment. The results show that VOC concentrations were high during the mesophilic phase and reduced with increasing temperature during the composting period. It has been observed that at least 314 VOCs have been detected during the mesophilic, thermophilic, and cooling phases. Compost odor was mainly caused by NH3, methanethiol, carbon disulfide, dimethyl sulfide, and dimethyl disulfide, and most of these compounds appeared in thermophilic phase. Furthurmore, emissions of VOCs from composting kitchen waste reduces total diesel concentration in the soil to achieve a green and clean environment. © 2023 Elsevier Ltd

关键词： Gas emissions

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Corrigendum to "AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships" [Comput Struct Biotechnol J 27 (2025) 265-277]

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Computational and structural biotechnology journal 2025年 27卷 1089页

作者： You Wu Lei Xie Ph.D. Program in Computer Science The Graduate Center The City University of New York New York NY USA. Ph.D. Program in Biology and Biochemistry The Graduate Center The City University of New York New York NY USA. Department of Computer Science Hunter College The City University of New York New York NY USA. Helen & Robert Appel Alzheimer's Disease Research Institute Feil Family Brain & Mind Research Institute Weill Cornell Medicine Cornell University New York NY USA.

[This corrects the article dOI: 10.1016/***.2024.12.030.].

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