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2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control technology, CEI 2021

作者： Che, Zhanbin Chang, Junchao Zhang, Hao Du, Fengqian Zhongyuan University of Technology Department of Computer Science Zhengzhou China Henan Broadcasting System Department of Technology Research and Development Zhengzhou China

ISBN: (纸本)9780738146492

With the vigorous development of social media, microblog and other social media have gained massive number of users. Hot events spread explosively, and the popularity prediction of microblog content has important research significance in politics, economy and people's livelihood. The existing models related to microblog popularity prediction adopts temporal sequence features or text features, which is relatively single, easily leads to the loss of useful information, and the prediction accuracy of the model is not high. Therefore, this paper designs a popularity prediction model TTMPP that combines temporal sequence features and text features. First, extracting the time series features based on the random point process model SEISMIC, and then the decision tree model lightGBM is used to predict the popularity of microblog based on temporal sequence features and text features. Finally, in the Sina Weibo data set, compared with a variety of typical popularity prediction models, experiments show that the model proposed in this paper has higher prediction accuracy. © 2021 IEEE.

关键词： Decision trees

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Structure-guided identification and characterization of potent inhibitors targeting PhoP and MtrA to combat mycobacteria

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Computational and Structural Biotechnology Journal 2024年 23卷 1477-1488页

作者： Su, Han-Li Lai, Shu-Jung Tsai, Keng-Chang Fung, Kit-Man Lung, Tse-Lin Hsu, Hsing-Mien Wu, Yi-Chen Liu, Ching-Hui Lai, Hui-Xiang Lin, Jiun-Han Tseng, Tien-Sheng Department of Emergency Medicine Ditmanson Medical Foundation Chia-Yi Christian Hospital Chiayi City600 Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung Taiwan Research Center for Cancer Biology China Medical University Taichung Taiwan National Research Institute of Chinese Medicine Ministry of Health and Welfare Taipei Taiwan Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan Academia Sinica Taipei11529 Taiwan Institute of Molecular Biology National Chung Hsing University Taichung Taiwan Department of Industrial Technology Ministry of Economic Affairs Taipei Taiwan Food Industry Research and Development Institute Hsinchu City Taiwan

Mycobacteria are causative agents of tuberculosis (TB), which is a global health concern. Drug-resistant TB strains are rapidly emerging, thereby necessitating the urgent development of new drugs. Two-component signal transduction systems (TCSs) are signaling pathways involved in the regulation of various bacterial behaviors and responses to environmental stimuli. Applying specific inhibitors of TCSs can disrupt bacterial signaling, growth, and virulence, and can help combat drug-resistant TB. We conducted a comprehensive pharmacophore-based inhibitor screening and biochemical and biophysical examinations to identify, characterize, and validate potential inhibitors targeting the response regulators PhoP and MtrA of mycobacteria. The constructed pharmacophore model Phar-PR-n4 identified effective inhibitors of formation of the PhoP–DNA complex: ST132 (IC50 = 29 ± 1.6 µM) and ST166 (IC50 = 18 ± 1.3 µM). ST166 (KD = 18.4 ± 4.3 μM) and ST132 (KD = 14.5 ± 0.1 μM) strongly targeted PhoP in a slow-on, slow-off manner. The inhibitory potency and binding affinity of ST166 and ST132 for MtrAC were comparable to those of PhoP. Structural analyses and molecular dynamics simulations revealed that ST166 and ST132 mainly interact with the α8-helix and C-terminal β-hairpin of PhoP, with functionally essential residue hotspots for structure-based inhibitor optimization. Moreover, ST166 has in vitro antibacterial activity against Macrobacterium marinum. Thus, ST166, with its characteristic 1,2,5,6-tetrathiocane and terminal sulphonic groups, has excellent potential as a candidate for the development of novel antimicrobial agents to combat pathogenic mycobacteria. © 2024 The Authors

关键词： Antimicrobial agents

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research progress on the source,function and application of AMPs

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TMR Pharmacology research 2023年第3期3卷 8-15页

作者： Ruo-Nan Zhou Chun-Ming Dong Yan-Yan Sun College of Marine and Environmental Sciences Tianjin University of Science and TechnologyTianjin 300457China Research and Development Department Jinan Deheng Medical Technology Co.Ltd.Jinan 250031China

Antibacterial peptide,also known as a host defense peptide,is a small molecular peptide that exhibits antibacterial *** disrupts the cell membrane structure of bacteria,leading to the release of internal contents and subsequent cell death,all without promoting the development of drug resistance in *** serves as a crucial component of the body’s innate immunity,forming the initial defense against the invasion of pathogenic ***,the functionality of this small molecule peptide extends beyond this *** also demonstrates positive effects in promoting organism growth,maintaining the balance of beneficial bacteria within organisms,combating cancer,enhancing immune function,and combating viruses,among other ***,it finds applications in biomaterials,food preservation,animal husbandry,and *** summary,this small molecular peptide plays a significant role in various domains.

关键词： AMPs small molecular peptide anti-tumor

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The nutritional value of Spirulina and utilization research

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Life research 2023年第3期6卷 35-46页

作者： Yuan-Yuan Wang Bao-Liang Xu Chun-Ming Dong Yan-Yan Sun College of Marine and Environmental Sciences Tianjin University of Science and TechnologyTianjin 300457China Research and Development Department Jinan Deheng Medical Technology Co.Ltd.Jinan 250031China

With the development of modern society,the demand for nutrition,health,and food safety among people is also *** and more consumers are connecting their diet to a healthy lifestyle in order to reduce the occurrence of chronic ***,known as green ginseng,is one of the most productive microalgae with high output *** is considered as one of the most ideal dietary supplements due to its unique nutritional and health *** main components of spirulina include protein,fat,vitamins,chlorophyll,and *** protein content is particularly high,ranging from 60-70%.Spirulina can be used as a natural nutritional supplement,providing various essential nutrients needed by the *** from being a nutritional supplement,spirulina is also widely utilized in the food,medicine,and cosmetics *** powder can be added to various foods such as bread,cakes,and biscuits to enhance their nutritional *** extract can also be used in the production of healthcare and beauty ***,the antioxidant and immune-boosting effects of spirulina make it a promising natural medicine for research in the treatment of cancer and liver *** paper aims to provide comprehensive information on the nutritional composition,secondary metabolites,and biological activities of spirulina,thereby contributing to the spirulina industry.

关键词： Spirulina Nutrition facts Bioactive substances

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Enhancing combustion performance and emission profiles using Citrullus colocynthis biodiesel blends with hydrogen

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International Journal of Hydrogen Energy 2025年 143卷 627-634页

作者： Wang, Yuan Devanesan, Sandhanasamy Aljawdah, Hossam M. M, Rithika Brindhadevi, Kathirvel College of Electrical Engineering Yellow River Conservancy Technical University Kaifeng475004 China Bioproducts Research Chair Department of Zoology College of Sciences King Saud University P.O. Box 2455 Riyadh11451 Saudi Arabia Department of Zoology College of Science King Saud University P.O. Box 2455 Riyadh11451 Saudi Arabia Center for Global Health Research Saveetha Medical College Saveetha Institute of Medical and Technical Sciences India Institute of Research and Development Duy Tan University Da Nang Viet Nam School of Engineering & Technology Duy Tan University Da Nang Viet Nam

This study was performed to explore the potential use of a combination of two alternative fuels such as hydrogen and biodiesel. A Citrullus colocynthis biodiesel blend with a proportion of 10 % or 20 % biodiesel was chosen. The hydrogen gas flow rate was controlled using a rotameter to maintain a constant supply of hydrogen at 3 L per minute (LPM) for all test fuels throughout the run. The fuels used for conducting the experimental tests were D100, B10 (Diesel 90 % + 10 % Citrullus colocynthis), B20 (Diesel 80 % + 20 % Citrullus colocynthis), D100 + H3L (Diesel 70 % + 30 % Citrullus colocynthis), B10 + H3L (Diesel 90 % + 10 % Citrullus colocynthis with 3 LPM) and B20 + H3L (Diesel 90 % + 10 % Citrullus colocynthis with 3 LPM). Test blends were allowed to run in the direct ignition diesel engine and the performance, combustion, and emission characteristics were determined and the results were compared. All tests were conducted at full load condition with varying engine speed from 1500 rpm to 3000 rpm with 500 rpm intervals. Use of the 10 % and 20 % biodiesel blends reduced the brake thermal efficiency of the engine due to lower cetane number and calorific value. Due to the higher viscosity, fuel consumption was higher for both blends. The results obtained from the fuel blends without and with hydrogen showed that the addition of hydrogen significantly improved performance and combustion efficiency. Further, the addition of hydrogen and use of Citrullus biodiesel reduced emission of the greenhouse gases CO and CO2. Presence of excess oxygen content in the biodiesel ensured superior combustion, which eventually led to lower emission of exhaust emissions. However, there is no evidence of reduction in the NOx emission for all the blends compared to diesel. © 2025 Hydrogen Energy Publications LLC

关键词： Biodiesel

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AN AHP-BASED DECISION MAKING MODEL EVALUATING THE USE OF AUGMENTED REALITY FOR BUILDING MAINTENANCE SYSTEM 50

AN AHP-BASED DECISION MAKING MODEL EVALUATING THE USE OF AUG...

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50th International Conference on Computers and Industrial Engineering: Sustainable Digital Transformation, CIE 2023

作者： Gharaibeh, Belal M.Y. Al-Tarawneh, Haya M. Sultan, Khalid Odeh, Nidhal Salaimeh, Ahmad A. Collage of Engineering and Applied Sciences American University of Kuwait Salmiya Kuwait Department of Industrial Engineering The University of Jordan Amman Jordan University of Wollongong Wollongong Australia Canberra Australia Institute of Research for Technology Development College of Engineering University of Kentucky Lexington United States

ISBN: (纸本)9781713886952

This study aims to evaluate the efficacy of integrating augmented reality technology, along with promising techniques, into the building maintenance system. The goal is to investigate whether augmented reality devices may improve the support given to personnel during facility maintenance procedures. The present research offers a decision-making tool intended to assist researchers and managers in assessing and choosing an augmented reality device that has important characteristics to enhance building maintenance procedures. A decision-making process was used to identify the optimal option from three augmented reality tools: handheld devices, head-mounted displays, and projectors. A set of six main criteria was established to evaluate the three augmented reality options. The analytical hierarchy process approach was used as the decision-making tool by prioritizing a set of primary and sub-criteria among many choices. A four-tier hierarchy has been established to identify the aspects that hold greater significance for decision-makers when choosing the augmented reality tool. The prioritization of the options utilized in this study was determined by considering the comments of the stakeholders while conducting a method analysis. The findings indicate that the handheld device is the most preferred augmented reality technology for facilitating building maintenance tasks, with a ranking score of 0.5031. The second alternative demonstrated an acceptable result of 0.3166, while the projector obtained the third position with a score of 0.1803. Moreover, the primary criterion analysis revealed that reliability emerged as the most influential factor pertaining to the target, with a rank of 0.3881. In terms of the sub-criteria, stakeholders in the decision-making process assigned greater importance to data format, handle, feedback, software system integration cost, augmented reality tools or equipment, and system maintenance. © 2023 Computers and Industrial Engineering. All righ

关键词： Decision making

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Deep Learning Meets Traditional Machine Learning: CNN-SVM Hybrid Models for Parkinson's Diagnosis 3

Deep Learning Meets Traditional Machine Learning: CNN-SVM Hy...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Mehta, Shiva Bhardwaj, Rishabh Chitkara University Institute of Engineering and Technology Chitkara University Centre for Research Impact & Outcome Punjab Rajpura140401 India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India

ISBN: (纸本)9798331542375

Parkinson's disease (PD) is a neurodegenerative disorder that needs early and accurate diagnosis for good management. Our approach in this study is to have a hybrid diagnostic framework which uses Convolutional Neural Networks (CNNs) for the feature extraction, and Support Vector Machines (SVMs) for the classification. By leveraging on the complementary strengths of the above-mentioned approaches, the model reports improved performance in detection of PD by using medical imaging data. We evaluated proposed CNN-SVM hybrid model on a dataset consist of 5,000 MRI images (2,500 with PD cases and 2,500 with healthy control) with achieved accuracy of 94.8%, sensitivity of 93.7%, and specificity of 95.5%. These results demonstrate a significant improvement over baseline methods, including standalone CNNs (accuracy: 91. The performance of the proposed methods is experimentally demonstrated to be better than SVMs with handcrafted features (accuracy: 84.5%, sensitivity: 83.2%, specificity: 85.0%) and even SVMs using Fisher vectors (accuracy: 81.4%, sensitivity: 86.1%, specificity: 81.1%) for certain classes (e.g. 2%, sensitivity: 89.5%, specificity: 92.3%). The class separability of the hybrid model was excellent, with an Area Under the Receiver Operating Characteristic Curve (AUC-ROC) of 0.96. These findings were further confirmed under confusion matrix analysis with 2,343 true positives and 2,388 true negatives and with only 157 false negatives (sensitivity: 0.017%) and 112 false positives (specificity: 0.970%). The model demonstrated generalizability by the convergence of training and validation curves throughout 50 epochs with a final loss of 0.06 and validation error stabilizing at 0.04. The CNN-SVM hybrid model also can demonstrate the ability to become a reliable diagnostic tool for PD detection, with robust classification performance and few errors. Multi-modal data integration and scalability for use over a broader range of clinical applications is the subject of fut

关键词： Diseases

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Early Detection of Nipah Virus Infection Using Convolutional Neural Networks: A Deep Learning Approach 3

Early Detection of Nipah Virus Infection Using Convolutional...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Jain, Eshika Sharma, Pooja Chitkara University Institute of Engineering and Technology Chitkara University Centre for Research Impact & Outcome Punjab Rajpura140401 India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India

ISBN: (纸本)9798331542375

Nipah virus infection is a lightning-fast, high-lethality zoonotic disease that is significantly important from a public health perspective. Diagnosis of Nipah virus infection as early and precisely as possible is critical for effective intervention and prevention. This research presents the application of a deep learning technique, namely CNN, in detecting Nipah virus infection using medical imaging data. The proposed work introduces a state-of-the-art CNN architecture that leverages its efficient feature extraction and classification competencies to achieve dependable detection performance. All medical images used in this dataset were labeled and pre-processed for uniformity and quality, both for training and validation. Augmentation of data and tuning of hyperparameters optimized the training of the model. This yields an overall accuracy of classification of 87%. Though the overall loss can be relatively lower at about 11%, the model shows consistency in all its validation metrics, hence strong enough for infection pattern detection. These findings indicate that CNNs could be a diagnostic tool in detecting Nipah virus infections, thus enabling quicker and more efficient decision-making on the clinical front. Though the approach is scalable, it is widely adaptive for broader applications in infectious disease diagnostics. There are, however, acknowledged challenges with dataset limitations and generalization to real-world scenarios, pointing toward opportunities for further research to advance such accuracy and reliability. The study has concluded that deep learning-based models, such as CNN, hold tremendous potential to improve early detection of infection with the Nipah virus, eventually controlling the disease's spread and improving patient outcomes. © 2025 IEEE.

关键词： Diseases

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EPHA2 is a novel cell surface marker of OCT4-positive undifferentiated cells during the differentiation of mouse and human pluripotent stem cells (May, szae036, 2024)

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STEM CELLS TRANSLATIONAL MEDICINE 2024年第9期13卷 940-940页

作者： Intoh, Atsushi Watanabe-Susaki, Kanako Kato, Taku Kiritani, Hibiki Kurisaki, Akira Division of Biological Science Nara Institute of Science and Technology Nara 630-0192 Japan. Organ Development Research Laboratory National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba 305-8560 Japan.

Embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs) possess the intrinsic ability to differentiate into diverse cellular lineages, marking them as potent instruments in regenerative medicine. Nonetheless, the proclivity of these stem cells to generate teratomas post-transplantation presents a formidable obstacle to their therapeutic utility. In previous studies, we identified an array of cell surface proteins specifically expressed in the pluripotent state, as revealed through proteomic analysis. Here we focused on EPHA2, a protein found to be abundantly present on the surface of undifferentiated mouse ESCs and is diminished upon differentiation. Knock-down of Epha2 led to the spontaneous differentiation of mouse ESCs, underscoring a pivotal role of EPHA2 in maintaining an undifferentiated cell state. Further investigations revealed a strong correlation between EPHA2 and OCT4 expression during the differentiation of both mouse and human PSCs. Notably, removing EPHA2+ cells from mouse ESC-derived hepatic lineage reduced tumor formation after transplanting them into immune-deficient mice. Similarly, in human iPSCs, a larger proportion of EPHA2+ cells correlated with higher OCT4 expression, reflecting the pattern observed in mouse ESCs. Conclusively, EPHA2 emerges as a potential marker for selecting undifferentiated stem cells, providing a valuable method to decrease tumorigenesis risks after stem-cell transplantation in regenerative treatments.

关键词： EPHA2 cell surface marker pluripotent stem cells stem cell transplantation tumorigenesis

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development of high contrast EUV photoresist for narrow pitch C/H patterning 41

Development of high contrast EUV photoresist for narrow pitc...

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Advances in Patterning Materials and Processes XLI 2024

作者： Moon, Yonghoon Do, Sungan Kim, Hana Kwon, Seungchul Park, Hoyoon Kang, Cheol Lee, Jae-Jun Ahn, Chanjae Androsov, Dmitry Kim, Minsang Hong, Suk-Koo Material Development Team Semiconductor R&d Center Samsung Electronics Samsungjeonjaro 1-1 Gyeonggi-do Hwaseong-si Korea Republic of Material Research Center Samsung Advanced Institute of Technology Samsung Electronics Samsung-ro 130 Yeongtong-gu Gyeonggi-do Suwon-si Korea Republic of

ISBN: (纸本)9781510672208

The organic non-chemically amplified resist (non-CAR) materials have been developed for fine pitch contact hole patterning process to remove the acid blur of conventional chemically amplified resist (CAR) system, but non-CAR materials usually show lower contrast and sensitivity compared to conventional CAR materials, so additional improvements are needed for practical application. In this study, we developed new platforms of EUV PTD resist materials to overcome these limitations and enable fine pitch C/H patterning. The main target of our study is to reduce acid blur and to maintain chemical contrast compared to conventional CAR system by 1) finding better EUV-active structures, or 2) simultaneously generating polarity switching and molecular weight (M.W.) change, or 3) maximizing the M.W. change through the depolymerization. Those new resist materials have confirmed showing equivalent or higher contrast compared to conventional CAR, and also having good resolution in EUV C/H patterning evaluation. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Photoresists

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