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arXiv 2020年

作者： Xu, Mengqiao Pan, Qian Xia, Haoxiang Masuda, Naoki School of Economics and Management Dalian University of Technology No. 2 Linggong Road Ganjingzi District Dalian City Liaoning Province116024 China Department of Mathematics University at Buffalo BuffaloNY14260-2900 United States Computational and Data-Enabled Science and Engineering Program University at Buffalo State University of New York BuffaloNY14260-5030 United States

Maritime shipping is a backbone of international trade and thus the world economy. Vessels travel from a port of one country to another on networks of ports to carry cargos, which contribute to countries’ international trade values. We hypothesize that ports that involve transshipment activities serve as a third-party middleman to mediate trade between two foreign countries and contribute to the corresponding country's status in international trade. We test this hypothesis using a port-level data set of global liner shipping services. We propose two indices that quantify the importance of countries in the global liner shipping network and show that they explain a large amount of variation in the international trade value and related measures of individual countries. These results support a long-standing view in maritime economics, which has yet been directly tested, that countries that are strongly integrated into the global maritime transportation network have enhanced access to global markets and trade opportunities. Copyright © 2020, The Authors. All rights reserved.

关键词： International trade

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ANTARCTICA AND THE SOUTHERN OCEAN

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Bulletin of the American Meteorological Society 2024年第8期105卷 S331-S370页

作者： Clem, K.R. Raphael, M.N. Susheel, Adusumilli Charles, Amory Rebecca, Baiman Alison F, Banwell Sandra, Barreira Rebecca L., Beadling Deniz, Bozkurt Kyle R., Clem Steve, Colwell Lawrence, Coy Rajashree T, Datta Pranab, Deb Jos, De Laat Marcel, du Plessis Denise, Fernandez Ryan L., Fogt Helen A., Fricker Sarah T, Gille Bryan, Johnson Simon A., Josey Linda M., Keller Natalya A, Kramarova Jessica, Kromer Leslie, R., Lait Matthew A., Lazzara Jan L., Lieser Michael, MacFerrin Graeme M., MacGilchrist Michelle L., MacLennan Andreas, Marouchos Robert A., Massom Robert A., Massom Clive R., McMahon David E., Mikolajczyk Thomas L., Mote Paul A., Newman Taylor, Norton Irina, Petropavlovskikh Luciano P., Pezzi Michael, Pitts Marilyn N., Raphael Phillip, Reid Michelle L., Santee Theodore A., Scambos Cristina, Schulz Jia-Rui, Shi Everaldo, Souza Sharon, Stammerjohn Sandy, Thomalla Sarat Chandra, Tripathy Luke D., Trusel Katherine, Turner Ziqi, Yin Jessicca, Allen Amy V., Camper Bridgette O., Haley Gregory, Hammer S. Elizabeth, Love-Brotak Laura, Ohlmann Lukas, Noguchi Deborah B., Riddle Sara W., Veasey School of Geography Environment and Earth Sciences Victoria University of Wellington Wellington New Zealand Department of Geography University of California Los Angeles Los Angeles California Scripps Institution of Oceanography University of California San Diego La Jolla California Université Grenoble Alpes Institut des Géosciences de l’Environnement IRD CNRS Grenoble INP Grenoble France Department of Atmospheric and Oceanic Sciences University of Colorado Boulder Boulder Colorado Earth Science and Observation Center Cooperative Institute for Research in Environmental Sciences (ESOC/CIRES) University of Colorado Boulder Boulder Colorado Argentine Naval Hydrographic Service Buenos Aires Argentina Department of Earth and Environmental Science Temple University Philadelphia Pennsylvania Department of Meteorology University of Valparaíso Valparaíso Chile Center for Climate and Resilience Research (CR)2 Santiago Chile British Antarctic Survey Cambridge United Kingdom Science Systems and Applications Inc. Lanham Maryland NASA Goddard Space Flight Center Greenbelt Maryland Centre for Ocean River Atmosphere and Land Sciences (CORAL) Indian Institute of Technology Kharagpur Kharagpur India Royal Netherlands Meteorological Institute (KNMI) DeBilt The Netherlands Department of Marine Sciences University of Gothenburg Gothenburg Sweden National Institute of Water and Atmospheric Research Ltd. (NIWA) Auckland New Zealand Department of Geography Ohio University Athens Ohio NOAA/OAR Earth System Research Laboratory Global Monitoring Laboratory Boulder Colorado University of Colorado Boulder Boulder Colorado Marine Systems Modelling National Oceanography Center Southampton United Kingdom Department of Atmospheric and Oceanic Sciences University of Wisconsin-Madison Madison Wisconsin Antarctic Meteorological Research and Data Center Space Science and Engineering Center University of Wisconsin-Madison Madison Wisconsin Department of Geography Pennsylvania Sta

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High-Energy-Density Foldable Battery Enabled by Zigzag-Like Design

High-Energy-Density Foldable Battery Enabled by Zigzag-Like ...

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中国力学大会（CCTAM 2019）

作者： Xiangbiao Liao Changmin Shi Tianyang Wang Boyu Qie Youlong Chen Pengfei Yang Qian Cheng Haowei Zhai Meijie Chen Xue Wang Xi Chen Yuan Yang Yonghong Zhang Family Center for Advanced Materials for Energy and Environment Department of Earth and Environmental Engineering Columbia University Program of Materials Science and Engineering Department of Applied Physics and Applied Mathematics Columbia University School of Aerospace Xi’an Jiaotong University School of Energy Science and Engineering Harbin Institute of Technology School of Astronautics Harbin Institute of Technology

Flexible batteries, seamlessly compatible with flexible and wearable electronics, attract a great deal of research attention. Current designs of flexible batteries struggle to meet one of the most extreme yet common d... 详细信息

关键词： energy density flexible foldable lithium ion batteries nonflammable

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Neural correlates of “Bioartificial Grasping” through a wearable robotic thumb for hand recovery

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Brain Stimulation 2025年第1期18卷 529-529页

作者： Giannotta, Alessandro Lomi, Francesco De Martino, Enrico Neri, Francesco Stramucci, Giulia Failli, Aurora Benelli, Alberto Santicioli, Sofia Scoccia, Adriano Smeralda, Carmelo Luca Sambati, Silvia Santarnecchi, Emiliano Prattichizzo, Domenico Rossi, Simone Siena Brain Investigation & Neuromodulation Lab (SiBin Lab) Unit of Neurology and Clinical Neurophysiology Department of Medicine Surgery and Neuroscience University of Siena Italy School of Advances Studies Center for Neuroscience University of Camerino Italy Center for Neuroplasticiy and Pain dept Health Science and Technology Aalborg University Denmark Department of Medicine Surgery and Neuroscience University of Siena Italy Precision Neuroscience & Neuromodulation Program Gordon Center for Medical imaging Massachusetts General Hospital Harvard Medical School Boton USA Department of Information Engineering and Mathematics University of Siena； Italy 2Humanoids & Human Centered Mechatronics centre Istituto Italiano di Tecnologia Genova Italy

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Interactive Protocols for Classically-Verifiable Quantum Advantage

arXiv

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arXiv 2021年

作者： Zhu, Daiwei Kahanamoku-Meyer, Gregory D. Lewis, Laura Noel, Crystal Katz, Or Harraz, Bahaa Wang, Qingfeng Risinger, Andrew Feng, Lei Biswas, Debopriyo Egan, Laird Gheorghiu, Alexandru Nam, Yunseong Vidick, Thomas Vazirani, Umesh Yao, Norman Y. Cetina, Marko Monroe, Christopher Joint Quantum Institute Departments of Physics and Electrical and Computer Engineering University of Maryland College ParkMD20742 United States Joint Center for Quantum Information and Computer Science NIST University of Maryland College ParkMD20742 United States Department of Physics University of California BerkeleyCA94720 United States Materials Sciences Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Computing and Mathematical Sciences California Institute of Technology CA91125 United States Division of Physics Mathematics and Astronomy California Institute of Technology CA91125-0001 United States Duke Quantum Center Department of Physics Duke University DurhamNC27708 United States Department of Electrical and Computer Engineering Duke University DurhamNC27708 United States IonQ Inc. College ParkMD20740 United States Institute for Theoretical Studies ETH Zürich CH 8001 Switzerland Chemical Physics Program Institute for Physical Science and Technology University of Maryland College ParkMD20742 United States Departments of Electrical and Computer Engineering University of Maryland College ParkMD20742 United States

Interaction is a powerful resource for quantum computation. It can be utilized in applications ranging from the verification of quantum algorithms all the way to verifying quantum mechanics itself. Here, we present the first implementation of interactive protocols for proofs of quantumness — which when suitably scaled promise the efficient verification of quantum computational advantage. The key feature that distinguishes these protocols from existing demonstrations of quantum advantage is that the classical verification is efficient and scales polynomially rather than exponentially with the number of qubits. The experimental implementation of such interactive protocols requires the ability to independently measure subsets of qubits in the middle of a quantum circuit and to continue coherent evolution afterwards. This is achieved by spatially isolating target qubits via shuttling, and opens the door to a range of quantum interactive protocols as well as new information processing architectures. Copyright © 2021, The Authors. All rights reserved.

关键词： Qubits

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Grasping and attached mode in human-computer interaction in the study of mouse substitution

Grasping and attached mode in human-computer interaction in ...

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International Conference on Information System, Computer science and engineering 2018, ICONISCSE 2018

作者： Widodo, R.B. Quita, R.M. Amrizal, S. Gunawan, R.S. Wada, C. Ardiansyah, A. Sutrisno, I. Rahmat, M.B. Arfianto, A.Z. Handoko, C.R. Santoso, A.D. Santosa, A.W.B. Ardhana, V.Y.P. Setiawan, E. Informatics Engineering Study Program Ma Chung University Malang65151 Indonesia Department of Mathematics Faculty of Science National Central University Taoyuan City32001 Taiwan Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology Wakamatsu Fukuoka808-0196 Japan Politeknik Pelayaran Surabaya Gunung Anyar Surabaya60294 Indonesia Department of Marine Electrical Engineering Politeknik Perkapalan Negeri Surabaya Sukolilo Surabaya60111 Indonesia Departemen Teknik Perkapalan Fakultas Teknik Universitas Diponegoro Semarang50275 Indonesia Universitas Qamarul Huda Badaruddin Bagu Central Lombok Indonesia

Some disabilities caused by sensory malfunction, accident, or congenital disorder could cause people difficulty in grasping the computer mouse. A well-known substitute uses an inertial sensor to monitor the body's orientation. This paper evaluates the efficiency and effectiveness of different methods of holding the sensor. There are two modes of holding the sensor, the grasping mode and the attached mode;we also evaluate a mouse as a baseline. The attached mode works by placing the sensor on the back of user's hand. The quantitative and qualitative evaluation procedure is based on ISO/TS 9241 part 411: Ergonomics of human-system interaction standard. The test consists of four levels of difficulty and indicates that the throughput and task completion times were not statistically different between grasping and attached mode. We also found that grasping mode and attached mode did not show significantly statistical differences in comfort and fatigue based on the questionnaires. The results also suggest that the orientation of the hand used in grasping and attached modes is suitable only for lower-impact computer use. © Published under licence by IOP Publishing Ltd.

关键词： Ergonomics

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Chemical compounds in essential oil of nutmeg leaves (Myristica fragrans) from Batang Indonesia

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Journal of Physics: Conference Series 2021年第1期1943卷

作者： H P Kusumaningrum M Zainuri H Endrawati B D Loka I N Widiasa E Sulistyowati Laboratory of Biotechnology Study Program of Biotechnology Faculty of Science and Mathematics Universitas Diponegoro Semarang Indonesia Laboratory of Oceanography Department of Oceanography Food Technology Department Faculty of Animal and Agricultural Sciences Diponegoro University Indonesia Chemical Engineering Department Faculty of Engineering Universitas Diponegoro Semarang Indonesia. Architecture Department Faculty of Engineering Universitas Diponegoro Semarang Indonesia.

Nutmeg oil has an important function as natural tropical biomedicine activity which commonly found in Batang region. This essential oil is one of the dominant traditional export product from Batang instead of patchouli oil, Clove oil, and lemongrass oil. The objective of the research was to analyze chemical compound of essential oil of nutmeg leaves from Batang region produced by traditional destillation. Research methods was conducted by GCMS method. The biomedical activity against some tropical diseases was analysed in-silico. The results showed that essential oil from nutmeg leaves showed potential antimicroabial activities in silico againts several tropical diseases in skin. The GCMS result showed 2-.BETA.-PINENE and .gamma.-Terpinene as the major compound with values 34,46% and 30,28%.

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Parameter processes and their impact on Tinospora cordifolia stem extracts for antibacterial and antioxidant materials

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Materials Today: Proceedings 2023年

作者： Ahmad Royani Muhammad Hanafi Puspa Dewi N. Lotulung Muhammad Eka Prastya Chandrabhan Verma Akram Alfantazi Azwar Manaf Postgraduate Program of Materials Science Study Department of Physics Faculty of Mathematics and Natural Sciences Universitas Indonesia Depok 16424 Indonesia Research Center for Metallurgy National Research and Innovation Agency (BRIN) Tangerang Selatan Banten 15314 Indonesia Research Center for Pharmaceutical Ingredients and Traditional Medicine National Research and Innovation Agency (BRIN) Tangerang Selatan Banten 15314 Indonesia Research Center for Chemistry National Research and Innovation Agency (BRIN) Tangerang Selatan Banten 15314 Indonesia Department of Chemical Engineering Khalifa University of Science and Technology P. O. Box 127788 Abu Dhabi United Arab Emirates

This work extracted the Tinospora cordifolia stem for antibacterial and antioxidant materials. The stems of T. cordifolia were extracted by using a simple maceration method. The effect of three independent variables (solvent ratios, temperature, and extraction time) was investigated to obtain optimal conditions. Ten grams of T. cordifolia were extracted using a mixture of methanol–water ratios 00:100, 15:85, 30:70, and 45:55 (% v/v) at 50–95 °C for 0.5 to 3 h. The total phenolic and flavonoid content in the T. cordifolia extracts was analyzed by Folin-Ciocalteu and Colorimetric-AlCl 3 methods. The antibacterial activities against Pseudomonas aeruginosa were assessed by serial dilution methods, and antioxidant properties were performed by DPPH methods. The optimum condition was achieved at methanol–water ratios of 00:100 % (v/v) at 95 °C for 2 h. The yield extraction for this condition is around 13.97%. The total phenolic and flavonoid contents for these conditions are about 6.85% and 7.07%, respectively. The minimum inhibitory concentration value against P. aeruginosa is 1024 µg/mL, and the minimum bacterial concentration is above 2048 µg/mL. Meanwhile, the antioxidant obtained is 217.55 µg/mL at a ratio of 00:100 methanol–water. The extraction process parameters significantly influenced the phytochemical (TPC and TFC), antibacterial activity, and antioxidant properties of T. cordifolia stem extracts. This work clearly shows the antibacterial potential of T. cordifolia stem extracts, suggesting that more investigation is required to isolate the bioactive compounds in this extract.

关键词： Antibacterial Antioxidant Maceration Parameter effect P. aeruginosa T. cordifolia

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Retraction notice to "Pyrolysis: An effective technique for degradation of COVID-19 medical wastes" [Chemosphere 275 (2021) 130092]

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Chemosphere 2025年 370卷 143824页

作者： Selvakumar Dharmaraj Veeramuthu Ashokkumar Rajesh Pandiyan Heli Siti Halimatul Munawaroh Kit Wayne Chew Wei-Hsin Chen Chawalit Ngamcharussrivichai (Deemed to be University) Chennai 603112 Tamil Nadu India. Center of Excellence in Catalysis for Bioenergy and Renewable Chemicals (CBRC) Faculty of Science Chulalongkorn University Bangkok 10330 Thailand. Department of Biochemistry Karpagam Academy of Higher Education (formerly Karpagam University) Pollachi Main Road Eachanari Post Coimbatore Tamil Nadu India. Chemistry Study Program Department of Chemistry Education Faculty of Mathematics and Science Education Universitas Pendidikan Indonesia Jl. Dr. Setiabudhi 229 Bandung 40154 Indonesia. School of Energy and Chemical Engineering Xiamen University Malaysia Jalan Sunsuria Bandar Sunsuria 43900 Sepang Selangor Malaysia College of Chemistry and Chemical Engineering Xiamen University Xiamen 361005 Fujian China. Department of Aeronautics and Astronautics National Cheng Kung University Tainan 701 Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung 407 Taiwan Department of Mechanical Engineering National Chin-Yi University of Technology Taichung 411 Taiwan. Center of Excellence in Catalysis for Bioenergy and Renewable Chemicals (CBRC) Faculty of Science Chulalongkorn University Bangkok 10330 Thailand Center of Excellence on Petrochemical and Materials Technology (PETROMAT) Chulalongkorn University Pathumwan Bangkok 10330 Thailand.

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Modeling subgrid-scale force and divergence of heat flux of compressible isotropic turbulence by artificial neural network

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Physical Review Fluids 2019年第10期4卷 104605-104605页

作者： Chenyue Xie Ke Li Chao Ma Jianchun Wang Shenzhen Key Laboratory of Complex Aerospace Flows Center for Complex Flows and Soft Matter Research Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen 518055 People's Republic of China Institute of Computational Mathematics and Scientific Engineering Computing Chinese Academy of Sciences Beijing 100190 People's Republic of China The Program in Applied and Computational Mathematics Princeton University Princeton New Jersey 08544 USA

In this paper, the subgrid-scale (SGS) force and the divergence of SGS heat flux of compressible isotropic turbulence are modeled directly by an artificial neural network (ANN), which serves as a data-driven SGS modeling tool for large-eddy simulations (LESs). The unclosed SGS force and divergence of SGS heat flux are modeled based on the local stencil geometry with Galilean invariance. The input features include the first-order and second-order derivatives of filtered velocity and temperature, filtered density, and its first-order derivative. It is shown that the proposed ANN-F7 model shows an advantage over the gradient model in the a priori test. Specifically, the ANN-F7 model gives larger correlation coefficients and smaller relative errors than the gradient model. In an a posteriori analysis, the ANN-F7 model performs better than the dynamic Smagorinsky model (DSM) and dynamic mixed model (DMM) in the prediction of the statistical properties of flow fields at the Taylor microscale Reynolds number Reλ ranging from 180 to 250. The DSM and DMM models lead to the typical tilted spectral distribution of velocity, where low wave numbers are too energy rich, while those near the cutoff are damped too strongly. In contrast, it is shown that the velocity spectrum predicted by the ANN-F7 model almost overlaps with the filtered direct numerical simulation data. Besides, the ANN-F7 model reconstructs the probability density functions of SGS force and divergence of SGS heat flux much better than the DSM and DMM models. An artificial neural network with reasonable physical input features can deepen our understanding of turbulence modeling.

关键词： Compressible flows Turbulence Artificial neural networks

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