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SPErA Hydrogen System^(TM)by LOHC-MCH Method for Massive Hydrogen Storage and Transportation

Journal of Environmental Science and Engineering(A) 2024年第2期13卷 50-60页

作者： Yoshimi Okada Kaji Naohiro Osamu Ikeda Kenichi Imagawa Hironori Kawai Masashi Nagai Yasuhiro Inoue Frontier Business Division Chiyoda Corporation4-6-2 Minatomirai Nishi-kuYokohama 2208765Japan Hydrogen Business Department Chiyoda Corporation4-6-2 Minatomirai Nishi-kuYokohama 2208765Japan R&D Center Chiyoda Corporation3-13 Moriya-cho Kanagawa-kuYokohama 2208765Japan Technology Development Department Chiyoda Corporation4-6-2 Minatomirai Nishi-kuYokohama 2208765Japan

Expanding the hydrogen energy utilization is essential for decarbonization,and the commercialization of hydrogen energy carrier systems that can“store”and“transport”hydrogen in a large scale is *** organic chemical hydride method incorporates hydrogen atoms into the molecular structure of a LOHC(Liquid Organic Hydrogen Carrier)to store and transport hydrogen in a liquid state under normal temperature and pressure,and is a highly safe method with low business *** has been developing the technology since 2002,completed a pilot demonstration in 2014 and named it the SPErA Hydrogen^(TM) System,and successfully completed an international supply chain demonstration that transports hydrogen from Brunei to Japan in a large scale in 2020,moving to the commercialization ***,Chiyoda is conducting feasibility studies with a number of domestic and foreign companies with the aim of commercializing the system as soon as *** this paper,outline,features,development status and our efforts in commercialization of SPErA HydrogenTM System are introduced.

关键词： Hydrogen carrier LOHC Methylcyclohexane MCH toluene

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Haloscope searching for dark photons in the Q band with a novel coupling tuning structure

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Physical review d 2025年第9期111卷 095022-095022页

作者： Yue Yin runqi Kang Man Jiao Xing rong Laboratory of Spin Magnetic Resonance School of Physical Sciences Anhui Province Key Laboratory of Scientific Instrument Development and Application University of Science and Technology of China Hefei 230026 China Hefei National Laboratory University of Science and Technology of China Hefei 230088 China Institute for Advanced Study in Physics Zhejiang University Hangzhou 310027 China Institute of Quantum Sensing and School of Physics Zhejiang University Hangzhou 310027 China Zhejiang Key Laboratory of R&D and Application of Cutting-edge Scientific Instruments Zhejiang University Hangzhou 310027 China

Laboratory searching for dark matter is crucial for understanding several fundamental conundrums in physics and cosmology. Most cavity-based haloscope searches focus on the frequency range below 10 GHz, while the parameter space with higher frequency remains rarely explored, due to the challenges lying in the fabrication of microwave cavities. Here we report the first Q band haloscope searching for dark photons with a 33.141 GHz cavity. A novel coupling tuning structure separated from the cavity was designed so as not to degrade the quality factor of the cavity. We have established the most stringent constraints χ<2.5×10−12 at a confidence level of 90% in the frequency range from 33.139 to 33.143 GHz, corresponding to the mass of dark photons ranging from 137.05 to 137.07 μeV. The results surpass the previous astronomical constraints by nearly three orders of magnitude. This work has demonstrated the feasibility of dark matter haloscopes in the Q band. In the future, the constraints can be further improved by more than one order of magnitude through low-temperature experiments, and the setup can be extended to search for axions, axion-like particles, and high-frequency gravitational waves.

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Identification of Lung Cancer Biomarkers from Single-Cell rNA Sequencing data using random Forest with Extreme Gradient Boosting

Identification of Lung Cancer Biomarkers from Single-Cell RN...

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distributed Computing and Electrical Circuits and Electronics (ICdCECE), IEEE International Conference on

作者： Vasanthakumar G U ramee riadHwsein Gudiwada Bhanu Priyanka B. Aishwarya S. Kaliappan Department of Computer Science and Engineering Nitte Meenakshi Institute of Technology Bengaluru India Department of Computers Techniques Engineering College of Technical Engineering Islamic University of Najaf Najaf Iraq Department of Computer Science and Engineering SRKR Engineering College Bhimavaram India Department of Computer Science and Engineering (CS) Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Division of Research and Development Lovely Professional University Phagwara India

ISBN: (数字)9798331533663

ISBN: (纸本)9798331533670

Nowadays, the recent advances in single cell ribonucleic Acid (rNA) sequencing (scrNA-seq) have allowed the analysis of individual cell transcriptomes for identifying the lung cancer biomarkers. However, Auto Encoders (AE) faced challenges due to the complexity and heterogeneity of scrNA-seq data. Hence, this research proposes random Forest with Extreme Gradient Boosting (rF-XGBoost) to identify the lung cancer biomarkers from scrNA-seq data for which the data is collected from Gene Expression Omnibus (GEO) dataset. Then, the collected data is pre-processed with Synthetic Minority Oversampling Technique (SMOTE). Further, Boruta model with Minimum redundancy Maximum relevance (mrMr) is incorporated as it helps to reduce dimensionality, remove redundant genes and selects features maximizing relevance with target labels while minimizing redundancy respectively. Finally, rF-XGBoost is incorporated as it is effective handling high-dimensional data, reduces overfitting and effective classification. The proposed rF-XGBoost model acquired greater results with an accuracy 95.6% and Matthews Correlation Coefficient of 0.995 when compared to decision Tree (dT) respectively.

关键词： Sequential analysis Accuracy Biological system modeling rNA Computational modeling Lung cancer Biomarkers Boosting Integrated circuit modeling random forests

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Characteristics of GaInAsP/SOI Hybrid Semiconductor Optical Amplifier with InP-based Two-storied ridge Structure 27

Characteristics of GaInAsP/SOI Hybrid Semiconductor Optical ...

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27th OptoElectronics and Communications Conference/International Conference on Photonics in Switching and Computing, OECC/PSC 2022

作者： Makihara, Yutaka Nishiyama, Nobuhiko Kikuchi, Takehiko Hiratani, Takuo Fujiwara, Naoki Inoue, Naoko Nitta, Toshiyuki Eissa, Moataz Mitarai, Takuya Wang, Yuning Oiso, Yoshitaka Amemiya, Tomohiro Yagi, Hideki Dept. of Electrical and Electronic Engineering Tokyo Institute of Technology Meguro-ku152-8550 Japan Institute of Innovative Research Tokyo Institute of Technology Meguro-ku152-8550 Japan Sumitomo Electric Industries Inc. Yokohama Works Transmission Devices R&d Labs 1 Taya-cho Sakae-ku Yokohama Kanagawa Yokohama244-8588 Japan Optoelectronics Industry and Technology Development Association Sumitomo Edogawabashiekimae Bldg.7F 1-20-10 Sekiguchi Bunkyo-ku Tokyo112-0014 Japan

GaInAsP/SOI hybrid SOAs with the InP-based two-storied ridge structure fabricated by the room temperature surface activated bonding were demonstrated. The wavelength dependence of gain was within 4.0 dB for the wavele... 详细信息

ISBN: (数字)9784885523366

ISBN: (纸本)9784885523366

关键词： Indium phosphide

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Numerical Simulation of Slotted Screen Plugging Mechanism Based on Cfd-dem Coupling

SSRN

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SSrN 2022年

作者： deng, Fucheng Gao, Zhiwei Cao, Yanfeng deng, Junyu Shen, Xuefeng School of Mechanics Engineering Yangtze University Hubei Jingzhou434000 China CNOOC Research Institute Beijing100028 China CNPC Engineering Technology R&D Company Limited Tianjin300457 China China Petroleum Technology and Development Corporation Beijing100028 China

As the simplest and commonly used mechanical sand control method in well completion, slotted screen sand control is used for filling sand control, independent sand control in thermal production wells or geothermal wells. In order to explore the plugging mechanism of slotted screen and the factors affecting sand production during sand control, the CFd-dEM coupling method is used in this paper. The discrete element method is used to establish the model considering the physical properties of sand particles in the formation, and the fluid flow model is established combined with the finite volume method, and the full coupling solution of the two is realized and the model verification is completed. The effects of particle size distribution, sand concentration, slotted size and fluid velocity on slotted screen plugging are studied, and the plugging mechanism of slotted screen is revealed. The following research results are obtained. First, the retention form of sand particles at the screen gap is the fundamental factor affecting screen plugging. Sand bridging will have a certain probability of collapse, resulting in "false stability". Second, the proportion of larger diameter sand determines the formation time and stability of "sand bridge", and the proportion of smaller diameter sand determines the compactness of solid retention. Third, sand concentration is very important to control the plugging removal frequency of screen. Fourth, the gap size and fluid velocity affect the pressure difference on the screen surface and the stability of the "sand bridge". This study provides a reference for optimizing the selection and production control of slotted screen during the downhole sand control design. © 2022, The Authors. All rights reserved.

关键词： Sand

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Microstructural Control Strategy Based on Optimizing Laser Powder Bed Fusion for different Hastelloy X Powder Size

SSRN

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SSrN 2022年

作者： Jang, Jee Eun Kim, Woosung Sung, Ji-Hyun Kim, Young-Joo Park, Sung Hyuk Kim, da Hye Smart Manufacturing Technology R&D Group Korea Institute of Industrial Technology Daegu42994 Korea Republic of School of Materials Science and Engineering Kyungpook National University Daegu41566 Korea Republic of Development Institute Plant Technology Group KEPCO KPS Global Institute of Technology Jeollanam-do 58326 Korea Republic of

In additive manufacturing, the powder properties and laser powder bed fusion (LPBF) process parameters, influence the quality of materials and stacking parts. We compared the LPBF window process maps for two Hastelloy X (HX) powders of different sizes. despite their small difference in particle size, the properties showed extreme sensitivity to LPBF process parameter optimization and material properties. For increasing HX particle size, the energy density of the optimal process conditions increased. The as-built specimen had a larger molten-pool size as the energy density was higher, which resulted in the differences in mechanical properties at room temperature and high temperature. The microstructures and mechanical properties of the as-built LPBF specimens were also investigated and compared with those of cast HX. Because of the rapid melting and solidification processes in LPBF, the as-built HX exhibited nano-sized dendrite structures and large internal strain energy. This resulted in the as-built LPBF exhibiting a higher room-temperature tensile strength than the cast material. Under high-temperature conditions, the molten-pool boundary of the as-built LPBF acts as a grain boundary sliding path, and the as-built LPBF HX showed significantly better high-temperature tensile strength characteristics than the cast HX. © 2022, The Authors. All rights reserved.

关键词： 3d printers

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Coupling mechanism of THM fields and SLG phases during the gas extraction process and its application in numerical analysis of gas occurrence regularity and effective extraction radius

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Petroleum Science 2022年第3期19卷 990-1006页

作者： Hui-Huang Fang Chun-Shan Zheng Ning Qi Hong-Jie Xu Hui-Hu Liu Yan-Hui Huang Qiang Wei Xiao-Wei Hou Lei Li Shuai-Liang Song State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and TechnologyHuainanAnhui 232001China Institute of Energy Hefei Comprehensive National Science CenterHefeiAnhui 230000China School of Earth and Environment Anhui University of Science and TechnologyHuainanAnhui 232001China Great Institute of Standardization China National Institute of Standardization's High Quality and Green Development Innovation R&D BaseJinanShandong 250101China State Key Laboratory of Petroleum Resources and Prospecting China University of PetroleumBeijing102249China School of Resources and Civil Engineering Suzhou UniversitySuzhouJiangsu 234000China School of Resources and Environmental Engineering Hefei University of TechnologyHefeiAnhui 230009China The Third Exploration Team of Shandong Coalfield Geologic Bureau TaianShandong 250102China Shandong Provincial Lunan Geo-engineering Exploration Instituts JiningShandong 272100China

The analysis of the coupling mechanism of thermal-hydraulic-mechanical(THM)fields,and solid-liquidgas(SLG)phases during gas extraction process is of profound significance to explore its numerical application in the gas occurrence regularity and its effective extraction *** this study,the Hudi coal mine in Qinshui basin is taken as the research area,the influencing factors of gas occurrence were analyzed,the differences in overburden load for gas pressure distribution and the factors influencing the effective extraction radius were further discussed by using the COMSOL *** results show that the derivation of mathematical model in gas extraction shows that the process is a process the THM fields restrict each other,and the SLG phases influence each *** longer the extraction time,the larger the influencing range of borehole,and the better the extraction *** larger the diameter of borehole,the larger the effective extraction radius,and the influence on gas extraction effect is smaller in the early stage and larger in the late *** borehole arrangement should be flexibly arranged according to the actual extraction *** higher the porosity,the higher the permeability,the better the gas extraction *** larger the overburden load of reservoir,the stronger the effective stress,which will result in the more severe the strain,and the closure of pore and fracture,which in turn will lead to the decrease of permeability and slow down the gas *** relationship among extraction time,borehole diameter,negative pressure of gas extraction,permeability with effective extraction radius is *** study has important theoretical and practical significance for clarifying and summarizing the gas occurrence regularity and its engineering practice.

关键词： Gas occurrence regularity Effective extraction radius THM fields and SLG phases Numerical simulation COMSOL Multiphysics Hudi coal mine

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research on FSI dynamic characteristics of parafoil trailing edge deflection 32

Research on FSI dynamic characteristics of parafoil trailing...

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32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021

作者： Gao, Xinglong Zhang, Qingbin Li, Zhihui Chen, Qin Wang, Wenkai State Aerodynamic Key Laboratory China Aerodynamic R&D Center Mianyang621000 China College of Aerospace Science and Technology National Defense Technology University Changsha430100 China Beijing Pioneering Innovation Center of China Aerodynamics Research and Development Center Beijing100191 China Technology Center AVIC Aerospace Life-Support Industries. Ltd Xiangfan441001 China

ISBN: (纸本)9783932182914

The parafoil is manipulated by pulling the trailing edge to realize maneuvering, turning, and landing etc., which involves the coupling process between the flexible fabric structure and aerodynamics. Based on the transient nonlinear dynamics' method, the FSI dynamic behaviors of trailing edge deflection is numerically simulated and analyzed. The Structured-ALE (SALE) models algorithm as well as the penalty method are both utilized to modeling the coupling fields and interface, by which the computing efficiency is highly improved. The stress distribution and structure strength of canopy is visualized and analyzed, the surrounding flow field is also visualized in 3d, the evolution mechanisms such as flow separation are studied. At last, the influence of deflection angle as well as the turning position on FSI dynamic characteristics are comparatively analyzed. The results validated the efficiency of our method and could be a good support for the design and application of large parafoil. © 2021 32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021. All rights reserved.

关键词： Efficiency

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An Intelligent Knee Osteoarthritis disease Prediction using Hybrid deep Learning with Classification Principles

An Intelligent Knee Osteoarthritis Disease Prediction using ...

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Frontier Technologies and Solutions (ICFTS), International Conference on

作者： Sangamithrai K K.Surendra reddy Imad Shalout CH. deepthi Jayant Giri Jamal Zaidi Department of CSE Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai Department of Computer Science Engineering QIS College of Engineering and Technology Ongole AP Department of Civil Engineering Faculty of engineering Zarqa university Zarqa Jordan College of Engineering University of Business and Technology Jeddah Saudi Arabia Department of CSE QIS College of Engineering and Technology Ongole Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur Division of Research and Development Lovely Professional University Phagwara India Faculty of Sceicne and Technology Spectrum International University College Selangor Malaysia

ISBN: (数字)9798331502768

ISBN: (纸本)9798331502775

Knee osteoarthritis is a prevalent degenerative joint disease that significantly impacts patient mobility and quality of *** study presents a novel hybrid deep learning approach that integrates a LeNet-based Convolutional Neural Network with a random Forest classifier for predicting knee osteoarthritis severity. The model leverages robust feature extraction from knee X-ray images and couples it with ensemble classification to yield highly accurate predictions. Extensive cross-validation experiments demonstrated an overall accuracy of 93.3%, with sensitivity and specificity values of 92.0% and 93.9%, respectively, and an Area Under the Curve (AUC) of 0.95. These performance metrics underscore the model's strong discriminative power in differentiating between various osteoarthritis grades. The methodology incorporates meticulous data preprocessing, augmentation, and hyperparameter tuning to address the challenges posed by variations in image quality and patient demographics. The promising results indicate that the hybrid Lenet-rF model is a potent tool for early and reliable disease detection, potentially leading to improved clinical outcomes. Overall, this approach not only outperforms traditional standalone models but also offers a scalable solution for real-time clinical diagnostics, paving the way for its integration into routine healthcare practices.

关键词： deep learning Accuracy Sensitivity and specificity Convolutional neural networks reliability Osteoarthritis random forests X-ray imaging Tuning diseases

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Size-controlled synthesis of unusual hydrogen-bonded imine-linked covalent organic framework for trypsin immobilization and drug delivery

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Polymer 2023年第1期283卷

作者： Anbazhagan, rajeshkumar Krishnamoorthi, rajakumari EL Mahdy, Ahmed F.M. Lai, Hou-Jen Nachimuthu, Santhanamoorthi Jiang, Jyh-Chiang Thankachan, darieo dinh, Van Thi Thuy Tsai, Hsieh-Chih Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei106 Taiwan Advanced Membrane Materials Center National Taiwan University of Science and Technology Taipei106 Taiwan Department of Materials and Optoelectronic Science National Sun Yat-Sen University Kaohsiung80424 Taiwan Computational and Theoretical Chemistry Laboratory Department of Chemical Engineering National Taiwan University of Science and Technology Taipei106 Taiwan Department of Material Science and Engineering National Taiwan University of Science and Technology Taipei106 Taiwan R&D Centre for Membrane Technology Chung Yuan University Taoyuan320 Taiwan

The interlayer hydrogen-bonded, uniform, and spherical covalent organic frameworks (USCOFs) and non-hydrogen bonded, and spherical covalent organic polymers (USCOPs) were synthesized in a series of aromatic and nonaromatic solvents at room temperature. The presence of interlayer hydrogen bonds between USCOFs were investigated via electron density difference (Edd) and stacking energy calculation in various solvents by dFT methods. The in-situ mid-angle X-ray scattering measurements indicate that the (100)-plane at 0.33 Å continuously grows in USCOFs, which was absent in USCOPs. The crystalline USCOFs exhibit a high surface area of 658 m2g−1, with a pore size of 3 nm, whereas USCOPs exhibit a surface area of 16 m2 g−1 with a pore size of 19 nm. Therefore, USCOFs formation in aromatic solvents, involving solvation and reduced π–π stacking, which allow the defective intermediates to dissociate and react reversibly, leading to well-ordered molecular arrangements. These solvent characteristics are absent in nonaromatic solvents;therefore, they fail to produce well-ordered molecular arrangement, forming amorphous USCOPs. Finally, the as-synthesized USCOFs were used for a protein(trypsin)-loading and drug delivery application. In addition, the loaded protein retains its original activity. Notably, the conducted MTT assay and cellular uptake proved COF-dOX selectively killed the cancer cells rather than normal cells. © 2023

关键词： Hydrogen bonds

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