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Biological Evaluation of Sulfonate and Sulfate Analogues of Lithocholic Acid: A Bioisosterism-Guided Approach Towards the discovery of Potential Sialyltransferase Inhibitors for Antimetastatic Study

SSRN

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SSRN 2023年

作者： Perez, Ser John Lynon P. Chen, Chia-Ling Chang, Tzu-Ting Li, Wen-Shan Institute of Chemistry Academia Sinica Taipei115 Taiwan Department of Applied Chemistry National Yang Ming Chiao Tung University Hsinchu300 Taiwan Sustainable Chemical Science and Technology Taiwan International Graduate Program Academia Sinica Taipei115 Taiwan Biomedical Translation Research Center Academia Sinica Taipei115 Taiwan Department of Medicinal and Applied Chemistry College of Life Science Kaohsiung Medical University Kaohsiung807 Taiwan Ph.D. Program in Drug Discovery and Development Industry College of Pharmacy Taipei Medical University Taiwan Doctoral Degree Program in Marine Biotechnology National Sun Yat-Sen University Kaohsiung804 Taiwan Department of Chemistry College of Science Tamkang University New Taipei City251 Taiwan

The naturally occurring bile acid lithocholic acid (LCA) has been a crucial core structure for many non-sugar-containing sialyltranferase (ST) inhibitors documented in literature. With the aim of elucidating the impact of the terminal carboxyl acid substituent of LCA on its ST inhibition, in this present study, we report the (bio)isosteric replacement-based design and synthesis of sulfonate and sulfate analogues of LCA. Among these compounds, the sulfate analogue SPP-002 was found to selectively inhibit N-glycan sialylation by at least an order of magnitude, indicating a substantial improvement in both potency and selectivity when compared to the unmodified parent bile acid. Molecular docking analysis supported the stronger binding of the synthetic analogue in the enzyme active site. Treatment with SPP-002 also hampered the migration, adhesion, and invasion of MdA-MB-231 cells in vitro by suppressing the expression of signaling proteins involved in the cancer metastasis-associated FAK/paxillin pathway. In totality, these findings offer not only a novel structural scaffold but also valuable insights for the future development of more potent and selective ST inhibitors with potential therapeutic effects against tumor cancer metastasis. © 2023, The Authors. All rights reserved.

关键词： Sulfur compounds

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Negative prognostic factors and clinical improvement prediction modeling for extracorporeal shockwave therapy in calcific shoulder tendinitis using artificial intelligence techniques

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Journal of Shoulder and Elbow Surgery 2025年

作者： Chou, Wen-Yi Huang, Tian-Hsiang Cheng, Jai-Hong Lien, Yu-Jui Ho, Wen-Hsien Chou, Paul Pei-Hsi Ph.D. Program in Biomedical Engineering College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Department of Orthopedic Surgery Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine Kaohsiung Taiwan Department of Leisure and Sport Management Cheng Shiu University Kaohsiung Taiwan Department of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan Department of Medical Research Center for Shockwave Medicine and Tissue Engineering Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine Kaohsiung Taiwan Department of Healthcare Administration and Medical Informatics Kaohsiung Medical University Kaohsiung Taiwan Department of Medical Research Kaohsiung Medical University Hospital Kaohsiung Taiwan College of Professional Studies National Pingtung University of Science and Technology Pingtung Taiwan Precision Sports Medicine and Health Promotion Center Kaohsiung Medical University Kaohsiung Taiwan Department of Sports Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Division of Sports Medicine Department of Orthopaedic Surgery Kaohsiung Medical University Hospital Kaohsiung Taiwan Department of Orthopaedics School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan

Background: The efficacy of extracorporeal shockwave therapy (ESWT) for treating shoulder calcific tendinitis can be influenced by various prognostic factors. This study aimed to identify prognostic factors associated with the failure of ESWT for symptom relief and to evaluate the predictive capability of the eXtreme Gradient Boosting (XGBoost) algorithm of artificial intelligence techniques in this context. Methods: This retrospective study enrolled patients with persistent shoulder pain attributed to calcific tendinitis who underwent ESWT after failed conservative treatment between January 1998 and december 2022. Age, sex, duration of symptoms, calcification classification and size, pre-ESWT visual analog scale (VAS), and pre-ESWT Constant-Murley score (CMS) served as potential input attributes. The difference in VAS and CMS were defined as the output attributes. The XGBoost model was used to predict treatment outcomes based on these factors. The dataset was balanced using the synthetic minority oversampling technique, and the model's performance was assessed using 10-fold cross-validation. Spearman's rank correlation coefficient analysis was adopted to explore the relationships between significant continuous input attributes and post-ESWT VAS and CMS scores. Results: A total of 296 patients with calcific tendinitis were enrolled and completed the 1-year follow-up. The findings revealed that a prolonged symptom duration (>10 months), severe pain (pre-ESWT VAS >5), and higher pre-ESWT CMS (>55) were significant prognostic factors for the failure of ESWT for symptom relief. Using these factors as inputs, the XGBoost model demonstrated high accuracy, precision, recall, and F1 score. By reducing the input attributes to age, calcification size, pre-ESWT CMS, and symptom duration, the model maintained a high prediction rate, suggesting that these factors are sufficient for effective prediction. discussion: The present study identified significant prognostic factors asso

关键词： Artificial intelligence Basic science Study calcific tendinitis CMS development of Predictive Computer Modeling Using AI/Machine Learning ESWT shoulder VAS XGBoost

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deep Learning-based Integrated System for Intraoperative Blood Loss Quantification in Surgical Sponges

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IEEE Journal of Biomedical and Health Informatics 2024年 PP卷 PP页

作者： Nguyen, dang Le, Minh Huu Nhat Huynh, phat K. Le, Trung Q. Charles-Okezie, Chinyere diaz, Michael J. Sabet, Cameron dang, Hung The Nguyen, Tuan Nguyen, Hoan Tran, Minh Le, Nguyen Quoc Khanh Muncey, Aaron Taipei Medical University International Ph.D. Program in Medicine College of Medicine Taipei110 Taiwan University of South Florida Department of Medical Engineering TampaFL United States University of South Florida Department of Industrial and Management Systems Engineering TampaFL United States Georgetown University School of Medicine Department of Medicine WashingtonDC United States Faculty of Life Sciences & Medicine King's College London School of Biomedical Engineering & Imaging Sciences London United Kingdom Minerva University San FranciscoCA United States Fredericton Leo Hayes High School NB Canada Taipei Medical University Research Center for Artificial Intelligence in Medicine Taipei106 Taiwan Taipei Medical University Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei110 Taiwan Taipei Medical University Hospital Translational Imaging Research Center Taipei110 Taiwan Moffitt Cancer Center and Research Institute Department of Anesthesiology TampaFL United States

Accurate quantification of intraoperative blood loss is crucial for enhancing patient safety and the success rate of surgeries. Traditional estimation techniques, mainly reliant on visual assessments, are prone to significant inaccuracies due to their subjective nature. This study introduces MdCare, an innovative deep learning-integrated system designed to substantially improve the precision of blood loss quantification using surgical sponges. By integrating advanced hardware components, including a mass sensor and webcam, with sophisticated algorithms like ResNet-18 and YOLOv4, MdCare achieves classification accuracy up to 96.2% and sponge detection accuracies above 91% for both synthetic and real blood scenarios. The system processes images at 7.4 frames per second, aligning with the exigent pace of surgical environments, thereby supporting surgeons with real-time, accurate blood loss data essential for timely and informed decision-making. The contributions of the paper are: (1) demonstrating the application of advanced machine learning models in a critical clinical setting, achieving significantly higher accuracy in blood loss estimation compared to traditional methods;(2) Validating the system's efficacy in real-time surgical environments, thereby enhancing the decision-making process and potentially reducing postoperative complications;(3) Setting a new standard in surgical care by integrating a complex system into real-world clinical workflows, showcasing its adaptability and potential for widespread adoption. Future work will focus on expanding the dataset and refining the algorithms to ensure the MdCare system's robustness and adaptability across surgical settings. The findings underscore the potential of MdCare to automate and refine critical aspects of surgery, marking a significant advancement in surgical care. © 2024 IEEE.

关键词： digital storage

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photodamage Reduction on Harmonic Generation Microscopy at Low-Level Optical Power based on deep Learning

Photodamage Reduction on Harmonic Generation Microscopy at L...

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Laser science, LS 2021 - Part of Frontiers in Optics, FiO 2021

作者： Shen, Yi-Jiun Liao, En-Yu Tai, Tsung-Ming Liao, Yi-Hua Sun, Chi-Kuang Lee, Cheng-Kuang See, Simon Chen, Hung-Wen International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu Taiwan Department of Electrical Engineering Graduate Institute of Photonics and Optoelectronics National Taiwan University Taipei Taiwan NVIDIA AI Technology Center NVIDIA Department of Dermatology National Taiwan University Hospital College of Medicine National Taiwan University Taipei Taiwan Institute of Photonics Technologies National Tsing Hua University Hsinchu Taiwan Hsinchu Taiwan

We demonstrated a power enhancement method in harmonic generation microscopy based on deep learning to reduce the optical input power and consequently reduce the risk of photodamage. © Optica Publishing Group 202... 详细信息

ISBN: (纸本)9781557528209

关键词： deep learning

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Influence of Crosslink density on the Interfacial Bonding Performance for Epoxy Resin Towards Load-Induced Calcium Silicate Hydrate Gel

SSRN

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SSRN 2023年

作者： Sun, dawei Wang, Jiaxin Wang, Hui Yan, Zheng Ma, Wenxu Ma, Xiaoyu Wang, Yali Ma, Zhongcheng Jin, Xiaodong Sun, Shibing Cui, Suping Wang, Zhiyong College of Materials Science and Engineering Beijing University of Technology Beijing100124 China State Key Laboratory of Solid Waste Reuse for Building Materials Beijing Building Materials Academy of Sciences Research Beijing100041 China Key Technologies R&D Program CNBM China

In epoxy-amine based self-healing cement-based materials, the uncontrollable stoichiometric ratio of both components in the cracks leads to the cured epoxy resin with various crosslink densities. Investigate the interaction mechanism between cured epoxy resin and C-S-H gel help us to optimize the final self-healing performances. In this work, the interaction between load-induced broken panels of C-S-H gel and cured epoxy resins with different crosslink densities (e.g., 0.23, 0.77, and 0.97) was studied through molecular dynamic methods. It was found that crosslink density plays an essential role in the geometrical size and atom distributions. phase separation occurs at the low crosslink density due to the aggregation of amine molecules. The generation of fresh crosslink points limits the free motion of epoxy molecules with higher crosslink density. Meanwhile, the cured epoxy resin with higher crosslink density causes a high porosity in the interfacial region between the epoxy resin and C-S-H gel substrates. © 2023, The Authors. All rights reserved.

关键词： Epoxy resins

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Oxidative Stress and Natural Antioxidants: Back and Forth in the Neurological Mechanisms of Alzheimer’s disease

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Journal of Alzheimer's disease 2023年第3期96卷 877-912页

作者： Mani, Shalini dubey, Rajni Lai, I-Chun Babu, M. Arockia Tyagi, Sakshi Swargiary, Geeta Mody, deepansh Singh, Manisha Agarwal, Shriya Iqbal, danish Kumar, Sanjay Hamed, Munerah Sachdeva, Punya Almutary, Abdulmajeed G. Albadrani, Hind Muteb Ojha, Shreesh Singh, Sandeep Kumar Jha, Niraj Kumar Centre for Emerging Diseases Department of Biotechnology Jaypee Institute of Information Technology UP Noida India Division of Cardiology Department of Internal Medicine Taipei Medical University Hospital Taipei Taiwan School of Medicine National Yang Ming Chiao Tung University Taipei Taiwan Division of Radiation Oncology Department of Oncology Taipei Veterans General Hospital Taipei Taiwan The Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Academia Sinica Taipei Taiwan Institute of Pharmaceutical Research GLA University Mathura India Department of Molecular Sciences Macquarie University Sydney Australia Department of Health Information Management College of Applied Medical Sciences Buraydah Private Colleges Buraydah Saudi Arabia Department of Life Sciences School of Basic Sciences and Research (SBSR) Sharda University Uttar Pradesh Greater Noida India Department of Pathology Faculty of Medicine Umm Al-Qura University Makkah Saudi Arabia GloNeuro Vishwakarma Road Noida India Department of Biomedical Sciences College of Health Sciences Abu Dhabi University Abu Dhabi United Arab Emirates Department of Clinical Laboratory Sciences College of Applied Medical Sciences Imam Abdulrahman Bin Faisal University Eastern Province Dammam Saudi Arabia Department of Pharmacology and Therapeutics College of Medicine and Health Sciences United Arab Emirates University Abu Dhabi United Arab Emirates Indian Scientific Education and Technology Foundation Lucknow India Department of Biotechnology School of Engineering & Technology (SET) Sharda University Uttar Pradesh Greater Noida India School of Bioengineering and Biosciences Lovely Professional University Punjab Phagwara India Department of Biotechnology School of Applied & Life Sciences (SALS) Uttaranchal University Uttarakhand Dehradun India Department of Biotechnology Engineering and Food Technology Chandigarh University Mohali India

Alzheimer’s disease (Ad) is characterized by the progressive degeneration of neuronal cells. With the increase in aged population, there is a prevalence of irreversible neurodegenerative changes, causing a significant mental, social, and economic burden globally. The factors contributing to Ad are multidimensional, highly complex, and not completely understood. However, it is widely known that aging, neuroinflammation, and excessive production of reactive oxygen species (ROS), along with other free radicals, substantially contribute to oxidative stress and cell death, which are inextricably linked. While oxidative stress is undeniably important in Ad, limiting free radicals and ROS levels is an intriguing and potential strategy for deferring the process of neurodegeneration and alleviating associated symptoms. Therapeutic compounds from natural sources have recently become increasingly accepted and have been effectively studied for Ad treatment. These phytocompounds are widely available and a multitude of holistic therapeutic efficiencies for treating Ad owing to their antioxidant, anti-inflammatory, and biological activities. Some of these compounds also function by stimulating cholinergic neurotransmission, facilitating the suppression of beta-site amyloid precursor protein-cleaving enzyme 1, α-synuclein, and monoamine oxidase proteins, and deterring the occurrence of Ad. Additionally, various phenolic, flavonoid, and terpenoid phytocompounds have been extensively described as potential palliative agents for Ad progression. Preclinical studies have shown their involvement in modulating the cellular redox balance and minimizing ROS formation, displaying them as antioxidant agents with neuroprotective abilities. This review emphasizes the mechanistic role of natural products in the treatment of Ad and discusses the various pathological hypotheses proposed for Ad. © 2023 – IOS Press. All rights reserved.

关键词： Alzheimer’s disease antioxidants neuroprotection oxidative stress therapeutics vitamins

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Inhibition of AdAM9 promotes the selective degradation of KRAS and sensitizes pancreatic cancers to chemotherapy

Nature Cancer

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Nature Cancer 2024年第3期5卷 400-419页

作者： Huang, Yu-Kai Cheng, Wei-Chung Kuo, Ting-Ting Yang, Juan-Cheng Wu, Yang-Chang Wu, Heng-Hsiung Lo, Chia-Chien Hsieh, Chih-Ying Wong, Sze-Ching Lu, Chih-Hao Wu, Wan-Ling Liu, Shih-Jen Li, Yi-Chuan Lin, Ching-Chan Shen, Chia-Ning Hung, Mien-Chie Lin, Jaw-Town Yeh, Chun-Chieh Sher, Yuh-Pyng Graduate Institute of Biomedical Sciences China Medical University Taichung Taiwan Cancer Biology and Precision Therapeutics Center China Medical University Taichung Taiwan Ph.D. Program for Cancer Biology and Drug Discovery China Medical University and Academia Sinica Taichung Taiwan School of Chinese Medicine College of Chinese Medicine China Medical University Taichung Taiwan Graduate Institute of Integrated Medicine College of Chinese Medicine China Medical University Taichung Taiwan Department of Medical Laboratory Science and Biotechnology College of Medical and Health Science Asia University Taichung Taiwan Center for Molecular Medicine China Medical University Hospital Taichung Taiwan Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Taipei Taiwan National Institute of Infectious Diseases and Vaccinology National Health Research Institutes Miaoli Taiwan Graduate Institute of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Department of Biological Science and Technology China Medical University Taichung Taiwan Division of Hematology and Oncology China Medical University Hospital Taichung Taiwan Genomics Research Center Academia Sinica Taipei Taiwan Division of Gastroenterology and Hepatology Department of Internal Medicine E-Da Hospital Kaohsiung Taiwan Department of Medicine School of Medicine China Medical University Taichung Taiwan Department of Surgery Organ Transplantation Center China Medical University Hospital Taichung Taiwan Institute of Biochemistry and Molecular Biology China Medical University Taichung Taiwan

Kirsten rat sarcoma virus (KRAS) signaling drives pancreatic ductal adenocarcinoma (PdAC) malignancy, which is an unmet clinical need. Here, we identify a disintegrin and metalloproteinase domain (AdAM)9 as a modulator of PdAC progression via stabilization of wild-type and mutant KRAS proteins. Mechanistically, AdAM9 loss increases the interaction of KRAS with plasminogen activator inhibitor 1 (PAI-1), which functions as a selective autophagy receptor in conjunction with light chain 3 (LC3), triggering lysosomal degradation of KRAS. Suppression of AdAM9 by a small-molecule inhibitor restricts disease progression in spontaneous models, and combination with gemcitabine elicits dramatic regression of patient-derived tumors. Our findings provide a promising strategy to target the KRAS signaling cascade and demonstrate a potential modality to enhance sensitivity to chemotherapy in PdAC. © The Author(s), under exclusive licence to Springer Nature America, Inc. 2024.

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Rhodiola and Salidroside Attenuate Oxidative Stress-Triggered H9c2 Cardiomyoblast Apoptosis Through IGF1R-Induced ERK1/2 Activation

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Environmental Toxicology 2024年第11期39卷 5150-5161页

作者： Ju, I-Ju Tsai, Bruce Chi-Kang Kuo, Wei-Wen Kuo, Chia-Hua Lin, Yueh-Min Hsieh, dennis Jine-Yuan Pai, Pei-Ying Huang, Shang-En Lu, Shang-Yeh Lee, Shin-da Huang, Chih-Yang Division of General Medicine Department of Medical Education Tri-Service General Hospital National Defense Medical Center Taipei Taiwan Department of Neurological Surgery Tri-Service General Hospital National Defense Medical Center Taipei Taiwan Cardiovascular and Mitochondrial Related Disease Research Center Hualien Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation Hualien Taiwan Department of Biological Science and Technology College of Life Sciences China Medical University Taichung Taiwan Ph.D. Program for Biotechnology Industry China Medical University Taichung Taiwan School of Pharmacy China Medical University Taichung Taiwan Laboratory of Exercise Biochemistry University of Taipei Taipei Taiwan Institute of Sports Sciences University of Taipei Taipei Taiwan Department of Kinesiology and Health Science College of William and Mary WilliamsburgVA United States School of Physical Education and Sports Science Soochow University Jiangsu Suzhou China Department of Pathology Changhua Christian Hospital Changhua Taiwan School of Medicine Chung Shan Medical University Taichung Taiwan School of Medical Laboratory and Biotechnology Chung Shan Medical University Taichung Taiwan Clinical Laboratory Chung Shan Medical University Hospital Taichung Taiwan Division of Cardiovascular Medicine Department of Internal Medicine China Medical University Hospital Taichung Taiwan School of Medicine College of Medicine China Medical University Taichung Taiwan Graduate Institute of Chinese Medicine China Medical University Taichung Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung Taiwan School of Rehabilitation Science Shanghai University of Traditional Chinese Medicine Shanghai China School of Rehabilitation Medicine Weifang Medical University Shandong Weifang China Department of Physical Therapy Graduate Institute of Rehabilitation Science China Medical University Taichung Taiwan Department of Medical Research China Medic

Oxidative stress is a pivotal factor in the pathogenesis of various cardiovascular diseases. Rhodiola, a traditional Chinese medicine, is recognized for its potent antioxidant properties. Salidroside, a phenylpropanoid glycoside derived from Rhodiola rosea, has shown remarkable antioxidant capabilities. This study aimed to elucidate the potential protective mechanisms of Rhodiola and salidroside against H2O2-induced cardiac apoptosis in H9c2 cardiomyoblast cells. H9c2 cells were exposed to H2O2 for 4 h, and subsequently treated with Rhodiola or salidroside for 24 h. Cell viability and apoptotic pathways were assessed. The involvement of insulin-like growth factor 1 receptor (IGF1R) and the activation of extracellular regulated protein kinases 1/2 (ERK1/2) were investigated. H2O2 (100 μM) exposure significantly induced cardiac apoptosis in H9c2 cells. However, treatment with Rhodiola (12.5, 25, and 50 μg/mL) and salidroside (0.1, 1, and 10 nM) effectively attenuated H2O2-induced cytotoxicity and apoptosis. This protective effect was associated with IGF1R-activated phosphorylation of ERK1/2, leading to the inhibition of Fas-dependent proteins, HIF-1α, Bax, and Bak expression in H9c2 cells. The images from hematoxylin and eosin staining and immunofluorescence assays also revealed the protective effects of Rhodiola and salidroside in H9c2 cells against oxidative damage. Our findings suggest that Rhodiola and salidroside possess antioxidative properties that mitigate H2O2-induced apoptosis in H9c2 cells. The protective mechanisms involve the activation of IGF1R and subsequent phosphorylation of ERK1/2. These results propose Rhodiola and salidroside as potential therapeutic agents for cardiomyocyte cytotoxicity and apoptosis induced by oxidative stress in heart diseases. Future studies may explore their clinical applications in cardiac health. © 2024 Wiley Periodicals LLC.

关键词： Cell death

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Investigation of ecological risk of microplastics in peatland areas: A case study in Vietnam

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Environmental Research 2023年第1期220卷 115190页

作者： Nguyen, Minh Ky Lin, Chitsan Quang Hung, Nguyen Tri Hoang, Hong-Giang Vo, dai-Viet N. Tran, Huu-Tuan Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan Faculty of Environment and Natural Resources Nong Lam University of Ho Chi Minh City Hamlet 6 Linh Trung Ward Thu Duc Dist. Ho Chi Minh City700000 Viet Nam Faculty of Medicine Dong Nai Technology University Bien Hoa Dong Nai 76100 Viet Nam Nguyen Tat Thanh University Ho Chi Minh City700000 Viet Nam Laboratory of Ecology and Environmental Management Science and Technology Advanced Institute Van Lang University Ho Chi Minh City700000 Viet Nam Faculty of Applied Technology School of Engineering and Technology Van Lang University Ho Chi Minh City700000 Viet Nam

This study aims to investigate the distribution and ecological risk assessment of microplastics (MPs) in peatland areas located in Long An province, Vietnam's Mekong delta. In general, polyvinyl chloride (60.7%), polyethylene (25.8%), and polypropylene (11.9%) were the most abundant polymers determined in the thirty sediment samples. The hazard index (HI) remarked a level of III for MPs contamination in Tan Thanh and Thanh Hoa districts. The pollution load index (PLI) and potential ecological risk index (RI) indicated that the contamination risk of MPs polymer types in the studied sites is relatively high. According to PLI values, MPs levels of peatlands in Tan Thanh and Thanh Hoa are high and moderate, respectively, while the peatland sediments in duc Hue district are less contaminated. Furthermore, ecological risk indexes in the peatland areas were relatively high, with PLIoverall (level III);HIoverall (level V), and RIoverall (extreme danger). Hence, this study proposed a SWOT framework for challenges of MPs pollution in order to manage peatlands appropriately and minimize ecological risks. As a result, several practical strategies and appropriate approaches have been recommended to reduce microplastics towards a circular economy. These findings provide the initial quantitative assessment insights into hazard levels and ecological impacts of MPs in Vietnam's Mekong delta peatlands. © 2022 Elsevier Inc.

关键词： Risk assessment

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Blue micro-LEd with a red/green blended polymer film for 3.5-Gbps visible light communication employing adaptive SNR-Flattening Algorithm

Next Nanotechnology

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Next Nanotechnology 2024年 5卷

作者： Ho, Pin-Wei Cheng, Chih-Hsien Liao, Yu-Sheng Chi, Yu-Chieh Sadhu, Annada Sankar Matsumoto, Atsushi Akahane, Kouichi Chen, Li-Yin Kuo, Hao-Chung Lin, Gong-Ru Graduate Institute of Photonics and Optoelectronics and Department of Electrical Engineering National Taiwan University Taipei 106319 Taiwan National Institute of Information and Communications Technology Koganei Tokyo 184-8795 Japan SANWAY OPTOELECTRONICS TECH. CORP New Taipei City 235601 Taiwan Department of Photonics Institute of Electro-Optical Engineering College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu 30010 Taiwan International Ph.D. Program in Photonics (UST) College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu 30010 Taiwan Semiconductor Research Center Hon Hai Research Institute Taipei 11492 Taiwan NTU-Tektronix Joint Research Center Tektronix Inc. and National Taiwan University Taipei 106319 Taiwan

By the semipolar blue single GaN μ-LEd and blended Ir(piq)2(acac) + CC-MP5 polymer thin film color converter, a high-speed white-light μ-LEd-based system is built up for the applications of short-distance VLC. The characteristics and properties of both devices are analyzed to understand the requirements for transmission and illumination. By selecting the growing orient, the influence of QCSE is reduced in this GaN μ-LEd. Meanwhile, possessing the low reflection characteristic, it is beneficial for signal modulation. For the polymer thin film color converter with a lifetime of 7.8 ns, low surface reflection and high conversion efficiency are thought of good properties. Color-converted cool white light has a CCT of around 7000 K and high color accuracy with a CRI of about 90. The APd-combined frequency responses of the GaN μ-LEd and GaN μ-LEd + polymer are measured as 750 MHz and 600 MHz, respectively. After the optimization by utilizing the adaptive SNR-flattening pre-emphasis algorithm, the transmission performance of the white-light μ-LEd is significantly promoted. For NRZ-OOK encoding, a 1.4 Gbps 0.15-m free-space transmission is achieved with a rising time of 656.33 ps, a falling time of 493.32 ps, and a Q-factor of 4.75. Besides, in more advanced data formats, the performance of this white-light μ-LEd can be better highlighted. For the same 0.15-m free-space VLC, a high-speed 3 Gbps broadband 8-QAM-OFdM transmission is fulfilled with an EVM of 23.9%, an average SNR of 12.5, and a BER below 3.8 × 10^-3;while to the best of our knowledge, a record 3.5 Gbps BL-dMT transmission is implemented as well. This white-light μ-LEd can also be integrated into large-scale arrays for multi-functional VLC applications. © 2024 The Authors

关键词： Adaptive SNR-Flattening algorithm Blue micro-LEd Red/Green blended polymer Visible light communication

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