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2nd International Conference on I-sMAC (IoT in social, Mobile, Analytics and Cloud), I-sMAC 2018

作者： Math, Rajinder Kumar M. Dharwadkar, Nagaraj V. Department of ECE B.L.D.E. a'S College of Engineering and Technology Vijayapur Karnataka state India Department of Computer Science and Engineering Rajarambapu Institute of Technology Islampur Maharashtra state India

ISBN: (纸本)9781538614426

In recent times it is seen that the climatic and weather conditions not only in India but also in other countries have become uncertain and unpredictab.e. which may have devastating effects on the agriculture production. India being an agricultural country, most of the farmers largely rely on monsoons and agricultural production is weather dependent. The environmental factors like temperature, humidity, moisture, precipitation and many other parameters keep on changing rapidly and unpredictably. This unpredictab.e.nature, variability of climatic or weather conditions makes the life of farmers quite miserab.e.as they are unab.e.to take proper decisions at the right time. Thus, it is the need of the hour to have a real-time, local weather station which would keep the farmers informed well in advance about the prevailing weather conditions so that they can take appropriate decisions at the right time and save their crops from loss. Precision Agriculture (PA) is an art of using the latest availab.e.technologies in the agriculture domain so as to make traditional agriculture more profitab.e.and sustainab.e.while reducing the wastage of resources. The penetration of internet into India is very deep and very fast, especially due to the Jio mania by Reliance Jio Infocomm Limited last year, high speed internet is now possib.e.even in rural areas. This paper proposes a IoT based real-time local weather station for PA, that would provide farmers a means of automizing their agricultural practices (irrigation, fertilization, harvesting) at the right time. The proposed system would also aid the farmers to carry out the agricultural tasks on real-time bases, which in turn helps them to use the agricultural resources in efficient way and at the time when needed by the crops. The proposed weather system is a small step towards the development of PA system considering the Indian scenarios. © 2018 Ieee.

关键词： Precision agriculture

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effects of biased and unbiased illuminations on two-dimensional electron gases in dopant-free GaAs/AlGaAs

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Physical Review b 2022年第7期105卷 075302-075302页

作者： A. shetty F. sfigakis W. Y. Mak K. Das Gupta b. buonacorsi M. C. Tam H. s. Kim I. Farrer A. F. Croxall H. e. b.e.e A. R. Hamilton M. Pepper D. G. Austing s. A. studenikin A. sachrajda M. e. Reimer Z. R. Wasilewski D. A. Ritchie J. baugh Institute for Quantum Computing University of Waterloo Waterloo N2L 3G1 Canada Department of Chemistry University of Waterloo Waterloo N2L 3G1 Canada Cavendish Laboratory University of Cambridge Cambridge CB3 0HE United Kingdom Northern Quantum Lights Inc. Waterloo N2B 1N5 Canada Department of Physics Indian Institute of Technology Bombay Mumbai 40007 India Department of Physics and Astronomy University of Waterloo Waterloo N2L 3G1 Canada Department of Electrical and Computer Engineering University of Waterloo Waterloo N2L 3G1 Canada Department of Electronic and Electrical Engineering University of Sheffield Sheffield S1 3JD United Kingdom School of Physics University of New South Wales Sydney NSW 2052 Australia Department of Electronic and Electrical Engineering University College London London WC1E 7JE United Kingdom Security and Disruptive Technologies Research Centre National Research Council of Canada Ottawa K1A 0R6 Canada Waterloo Institute for Nanotechnology University of Waterloo Waterloo N2L 3G1 Canada

Illumination is performed at low temperature on dopant-free two-dimensional electron gases (2DeGs) of varying depths, under unbiased (gates grounded) and biased (gates at a positive or negative voltage) conditions. Unbiased illuminations in 2DeGs located more than 70 nm away from the surface result in a gain in mobility at a given electron density, primarily driven by the reduction of background impurities. In 2DeGs closer to the surface, unbiased illuminations result in a mobility loss, driven by an increase in surface charge density. biased illuminations performed with positive applied gate voltages result in a mobility gain, whereas those performed with negative applied voltages result in a mobility loss. The magnitude of the mobility gain (loss) weakens with 2DeG depth, and is likely driven by a reduction (increase) in surface charge density. Remarkably, this mobility gain/loss is fully reversib.e.by performing another biased illumination with the appropriate gate voltage, provided both n-type and p-type Ohmic contacts are present. experimental results are modeled with boltzmann transport theory, and possib.e.mechanisms are discussed.

关键词： Photoinduced effect Quantum transport Field-effect transistors III-V semiconductors Two-dimensional electron gas boltzmann theory Hall bar Molecular beam epitaxy

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student space Missions – Facilitating Pathways to success for Next Generation Professionals in space

Student Space Missions – Facilitating Pathways to Success f...

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IAF space education and Outreach symposium 2021 at the 72nd International Astronautical Congress, IAC 2021

作者： bering, edgar A. Khan, shuhab Moges, Mequanint Hampton, Donald Mölders, Nicole Thorsen, Denise Dunbar, bonnie J. Lefer, barry L. Gamblin, Rachel b. Greer, Michael Greer, Presley Gunawan, bryan Hernandez, elizabeth Lehnen, Jamie Nguyencuu, Andy Piña, Megan Porat, Itay Prince, John R. Pessoa, Ana Gabriela simmons, James Tovar, Chloe Ulinski, Alexandra Departments of Physics and Electrical Engineering University of Houston 3507 Cullen Blvd. #617 HoustonTX77204-5005 United States Department of Earth and Atmospheric Sciences University of Houston 3507 Cullen Blvd. #312 HoustonTX77204-5007 United States Department of Engineering Technology 4730 Calhoun Road #304 HoustonTX77204-4020 United States Geophysical Institute University of Alaska Fairbanks 2156 Koyukuk Drive FairbanksAK99775 United States Department of Aerospace Engineering Texas A&M University 701 H.R. Bright Bldg. #609B College StationTX77843-3141 United States Tropospheric Composition Program Earth Sciences Division NASA Headquarters 300 E St SW WashingtonDC20024 United States NASA Johnson Space Center Cimarron Software Services Inc. 2101 NASA Parkway HoustonTX77058 United States Alumni University of Houston 3507 Cullen Blvd. HoustonTX77204 United States UT Southwestern Medical Center 5323 Harry Hines Blvd DallasTX75390 United States Department of Computer Science University of Houston 3551 Cullen Blvd. #501 HoustonTX77204-3010 United States University of Pennsylvania School of Design 210 S. 34th St. PhiladelphiaPA19104 United States

ISBN: (纸本)9781713843177

The Undergraduate student Instrumentation Project (UsIP) was a NAsA program created to engage undergraduate students in rigorous scientific research for the purposes of innovation and developing the next generation of professionals in space research. It is now run by the University of Houston using local resources. This student-led project, based on the 5e instructional model, is executed by the students from initial ideation of research ob.e.tives to the design, testing, and deployment of scientific payloads. The 5e Instructional model places the student at the center of knowledge building, while instructors facilitate interaction with content and guide the inquiry process. since 2013, this project has b.e. not only an effective vehicle for delivering sTeM education but is also effective in increasing classroom engagement and interest in space. space research is inherently interdisciplinary and crosscuts Geoscience, engineering, and technology. The project is designed to integrate engineering, technology, physics, material science, and earth and atmospheric sciences as an important opportunity for the students to gain access to cross-disciplinary experiential research. In addition to classroom engagement, the students build their own payloads and ground instruments. This project increases students’ command of essential skills such as teamwork, collaboration, prob.e. solving, technology, communication, innovation, and leadership. For the faculty, the project was an extended exercise in professional development, learning how to implement project level inquiry-based education on this scale. For the students, this formative experience continues to encourage the development of a much broader range of technical skills than is typically offered within an undergraduate degree. Furthermore, the extensive time and energy that students commit to this project promotes a strong sense of personal and professional responsibility and emphasizes the necessity of coherent teamwork.

关键词： students

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Part of speech Tagging for Kayah Language Using Hidden Markov Model

Part of Speech Tagging for Kayah Language Using Hidden Marko...

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International Conference on electrical, electronics, Communication, computer and Optimization Techniques (ICeeCCOT)

作者： Zar Zar Linn Pushpa b. Patil Faculty of Computer Science Myanmar Institute of Information Technology (MIIT) Mandalay Myanmar B.L.D.E.A's V.P.Dr.P.G.H College of Engineering and Technology Vijayapur India

ISBN: (数字)9781728132617

ISBN: (纸本)9781728132624

Part of speech tagging is one of the active research prob.e. in Natural Language Processing involves language understanding, reasoning and the utilization of common sense of knowledge. This paper contributes the pioneer evaluation to the Kayah Language for tagging Part of speech. Kayah language is one of the low resource languages in Myanmar. Kayah corpus used in this system is translated by Kayah people from Myanmar. The goal is to build the Kayah Language Part of speech Tagging system based Hidden Markov Model. sixteen tag sets are defined for this language. Hidden Markov Model is used to learn the Kayah corpus of words annotated with the correct Part of speech tags and generated the model relating to the Initial, Transition and emission probabilities for Kayah Language. Then the generated model is used to decode Viterbi algorithm. This Kayah Hidden Markov Model based POs tagging has b.e. experimented and has overall accuracy of 87 % on test data.

关键词： Tagging Hidden Markov models Training supervised learning stochastic processes speech processing

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Quantum complexity in gravity, quantum field theory, and quantum information science

arXiv

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arXiv 2025年

作者： baiguera, stefano balasubramanian, Vijay Caputa, Pawel Chapman, shira Haferkamp, Jonas Heller, Michal P. Halpern, Nicole Yunger INFN Sezione di Perugia Via A. Pascoli Perugia06123 Italy Dipartimento di Matematica e Fisica UCSC Via della Garzetta 48 Brescia25133 Italy David Rittenhouse Laboratory University of Pennsylvania 209 S. 33rd Street PhiladelphiaPA19104 United States Santa Fe Institute 1399 Hyde Park Road Santa FeNM87501 United States Theoretische Natuurkunde Vrije Universiteit Brussel Pleinlaan 2 BrusselsB-1050 Belgium Rudolf Peierls Centre for Theoretical Physics University of Oxford OxfordOX1 3PU United Kingdom The Oscar Klein Centre Department of Physics Stockholm University AlbaNova Stockholm106 91 Sweden Yukawa Institute for Theoretical Physics Kyoto University Kitashirakawa Oiwakecho Sakyo-ku Kyoto606-8502 Japan Faculty of Physics University of Warsaw Pasteura 5 Warsaw02-093 Poland Department of Physics Ben-Gurion University of the Negev Beer-Sheva84105 Israel School of Engineering and Applied Sciences Harvard University CambridgeMA02318 United States Department of Physics and Astronomy Ghent University Gent9000 Belgium Joint Center for Quantum Information and Computer Science NIST University of Maryland College ParkMD20742 United States Institute for Physical Science and Technology University of Maryland College ParkMD20742 United States

Quantum complexity quantifies the difficulty of preparing a state, or implementing a unitary, using limited resources. Over the past decade, quantum-complexity research has surged. Applications range from quantum computation to condensed matter and quantum gravity. Different communities apply different tools to quantum complexity, as well as define complexity differently. This review bridges the disciplines’ approaches. We cover multiple definitions of complexity, as well as their key properties and applications. In quantum information, random quantum circuits proved to be an invaluab.e.tool in extracting properties of the complexity growth of discrete quantum circuits. In quantum many-body systems and quantum field theory (QFT), complexity is defined geometrically through geodesics. Complexity can be defined also in terms of state or operator spreading and tensor-network concepts. In addition to reviewing these approaches, we outline applications to simple quantum systems, quantum many-body models and QFTs, including conformal field theories (CFTs). Finally, we detail the relationship between complexity and gravitational ob.e.vab.e. within the anti-de sitter-space (Ads)/CFT correspondence. This review thereby integrates recent quantum-complexity advances across fields. Copyright © 2025, The Authors. All rights reserved.

关键词： Quantum computers

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MedshapeNet - A Large-scale Dataset of 3D Medical shapes for computer Vision

arXiv

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arXiv 2023年

作者： Li, Jianning Zhou, Zongwei Yang, Jiancheng Pepe, Antonio Gsaxner, Christina Luijten, Gijs Qu, Chongyu Zhang, Tiezheng Chen, Xiaoxi Li, Wenxuan Wodzinski, Marek Friedrich, Paul Xie, Kangxian Jin, Yuan Ambigapathy, Narmada Nasca, enrico solak, Naida Melito, Gian Marco Vu, Viet Duc Memon, Afaque R. schlachta, Christopher De Ribaupierre, sandrine Patel, Rajnikant eagleson, Roy Chen, Xiaojun Mächler, Heinrich Kirschke, Jan stefan de la Rosa, ezequiel Christ, Patrick Ferdinand Li, Hongwei bran ellis, David G. Aizenberg, Michele R. Gatidis, sergios Küstner, Thomas shusharina, Nadya Heller, Nicholas Andrearczyk, Vincent Depeursinge, Adrien Hatt, Mathieu sekuboyina, Anjany Löffler, Maximilian Liebl, Hans Dorent, Reuben Vercauteren, Tom shapey, Jonathan Kujawa, Aaron Cornelissen, stefan Langenhuizen, Patrick ben-Hamadou, Achraf Rekik, Ahmed Pujades, sergi boyer, edmond bolelli, Federico Grana, Costantino Lumetti, Luca salehi, Hamidreza Ma, Jun Zhang, Yao Gharleghi, Ramtin beier, susann sowmya, Arcot Garza-Villarreal, eduardo A. balducci, Thania Angeles-Valdez, Diego souza, Roberto Rittner, Leticia Frayne, Richard Ji, Yuanfeng Ferrari, Vincenzo Chatterjee, soumick Dubost, Florian schreiber, stefanie Mattern, Hendrik speck, Oliver Haehn, Daniel John, Christoph Nürnberger, Andreas Pedrosa, João Ferreira, Carlos Aresta, Guilherme Cunha, António Campilho, Aurélio suter, Yannick Garcia, Jose Lalande, Alain Vandenbossche, Vicky Van Oevelen, Aline Duquesne, Kate Mekhzoum, Hamza Vandemeulebroucke, Jef Audenaert, emmanuel Krebs, Claudia van Leeuwen, Timo Vereecke, evie Heidemeyer, Hauke Röhrig, Rainer Hölzle, Frank badeli, Vahid Krieger, Kathrin Gunzer, Matthias Chen, Jianxu van Meegdenburg, Timo Dada, Amin balzer, Miriam Fragemann, Jana Jonske, Frederic Rempe, Moritz Malorodov, stanislav bahnsen, Fin H. seibold, Constantin Jaus, Alexander Marinov, Zdravko Jaeger, Paul F. stiefelhagen, Rainer santos, Ana sofia Lindo, Mariana Ferreira, André Alves, Victor Kamp, Michael Abourayya, Amr Nensa, Felix Hörst, Fabian b.e.mer, Alexander Hein Girardetstraße 2 Essen45131 Germany Graz University of Technology Inffeldgasse 16c Graz8010 Austria Graz Austria The Department of Computer Science Johns Hopkins University Malone Hall 3400 N Charles St BaltimoreMD21218 United States Rte Cantonale Lausanne1015 Switzerland The Department of Measurement and Electronics AGH University of Science and Technology Krakow Poland Sierre Switzerland Department of Biomedical Engineering University of Basel Hegenheimermattweg Allschwil167C CH-4123 Switzerland The Boston College 140 Commonwealth Ave Chestnut HillMA02467 United States University Hospital B7-200 339 Windermere Road LondonN6A 5A5 Canada The Department of Radiology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai200240 China The Research Center for Connected Healthcare Big Data ZhejiangLab Zhejiang Hangzhou311121 China The Faculty of Statistics Technical University Dortmund August-Schmidt-Straße 1 Dortmund44227 Germany The Institute of Mechanics Graz University of Technology Kopernikusgasse 24/IV Graz8010 Austria The Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China The Department of Cardiac Surgery Medical University Graz Auenbruggerplatz 29 Graz8036 Austria The Department of Diagnostic and Interventional Radiology University Hospital Giessen Justus-Liebig-University Giessen Klinikstraße 33 Giessen35392 Germany The Department of Mechanical Engineering Mehran University of Engineering and Technology Jamshoro Sindh76062 Pakistan The Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China The Geschäftsführender Oberarzt Abteilung für Interventionelle und Diagnostische Neuroradiologie Universitätsklinikum der Technischen Universität München Ismaningerstr. 22 München81675 Germany icometrix Kolonel Be

Prior to the deep learning era, shape was commonly used to describe the ob.e.ts. Nowadays, state-of-the-art (sOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from numerous shape-related publications in premier vision conferences as well as the growing popularity of shapeNet (about 51,300 models) and Princeton ModelNet (127,915 models). For the medical domain, we present a large collection of anatomical shapes (e.g., bones, organs, vessels) and 3D models of surgical instrument, called MedshapeNet, created to facilitate the translation of data-driven vision algorithms to medical applications and to adapt sOTA vision algorithms to medical prob.e.s. As a unique feature, we directly model the majority of shapes on the imaging data of real patients. As of today, MedshapeNet includes 23 datasets with more than 100,000 shapes that are paired with annotations (ground truth). Our data is freely accessib.e.via a web interface and a Python application programming interface (API) and can be used for discriminative, reconstructive, and variational benchmarks as well as various applications in virtual, augmented, or mixed reality, and 3D printing. exemplary, we present use cases in the fields of classification of brain tumors, skull reconstructions, multi-class anatomy completion, education, and 3D printing. In future, we will extend the data and improve the interfaces. The project pages are: https://***/ and https://***/Jianningli/*** Codes 68T01 © 2023, CC bY.

关键词： Large dataset

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Measurement of the and tH production rates in the H → decay channel using proton-proton collision data at = 13 TeV

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Journal of High energy Physics 2025年第2期2025卷 1-75页

作者： Hayrapetyan, A. Tumasyan, A. Adam, W. Andrejkovic, J. W. bergauer, T. Chatterjee, s. Damanakis, K. Dragicevic, M. Hussain, P. s. Jeitler, M. Krammer, N. Li, A. Liko, D. Mikulec, I. schieck, J. schöfbeck, R. schwarz, D. sonawane, M. Templ, s. Waltenberger, W. Wulz, C.-e. Darwish, M. R. Janssen, T. Van Mechelen, P. b.e.gelmans, N. D’Hondt, J. Dansana, s. De Moor, A. Delcourt, M. Heyen, F. Lowette, s. Makarenko, I. Müller, D. Tavernier, s. Tytgat, M. Van Onsem, G. P. Van Putte, s. Vannerom, D. bilin, b. Clerbaux, b. Das, A. K. De Lentdecker, G. evard, H. Favart, L. Gianneios, P. Jaramillo, J. Khalilzadeh, A. Khan, F. A. Lee, K. Mahdavikhorrami, M. Malara, A. Paredes, s. shahzad, M. A. Thomas, L. Vanden bemden, M. Vander Velde, C. Vanlaer, P. De Coen, M. Dobur, D. Gokbulut, G. Hong, Y. Knolle, J. Lamb.e.ht, L. Marckx, D. Mota Amarilo, K. samalan, A. skovpen, K. Van Den bossche, N. van der Linden, J. Wezenb.e., L. benecke, A. bethani, A. bruno, G. Caputo, C. De Favereau De Jeneret, J. Delaere, C. Donertas, I. s. Giammanco, A. Guzel, A. O. Jain, sa. Lemaitre, V. Lidrych, J. Mastrapasqua, P. Tran, T. T. Wertz, s. Alves, G. A. Alves Gallo Pereira, M. Coelho, e. Correia silva, G. Hensel, C. Menezes De Oliveira, T. Moraes, A. Rebello Teles, P. soeiro, M. Vilela Pereira, A. Aldá Júnior, W. L. barroso Ferreira Filho, M. brandao Malbouisson, H. Carvalho, W. Chinellato, J. Da Costa, e. M. Da silveira, G. G. De Jesus Damiao, D. Fonseca De souza, s. Gomes De souza, R. Macedo, M. Martins, J. Mora Herrera, C. Mundim, L. Nogima, H. Pinheiro, J. P. santoro, A. sznajder, A. Thiel, M. bernardes, C. A. Calligaris, L. Fernandez Perez Tomei, T. R. Gregores, e. M. Maietto silverio, I. Mercadante, P. G. Novaes, s. F. Orzari, b. Padula, sandra s. Aleksandrov, A. Antchev, G. Hadjiiska, R. Iaydjiev, P. Misheva, M. shopova, M. sultanov, G. Dimitrov, A. Litov, L. Pavlov, b. Petkov, P. Petrov, A. shumka, e. Keshri, s. Thakur, s. Cheng, T. Javaid, T. Yuan, L. Hu, Z. Liang, Z. Liu, J. Yi, K. Chen, G. M. Chen, H. s. Chen, M. Iemmi, F. Jiang, C. H. Yerevan Physics Institute Yerevan Armenia Yerevan State University Yerevan Armenia Institut für Hochenergiephysik Vienna Austria TU Wien Vienna Austria Universiteit Antwerpen Antwerpen Belgium Institute of Basic and Applied Sciences Faculty of Engineering Arab Academy for Science Technology and Maritime Transport Alexandria Egypt Vrije Universiteit Brussel Brussel Belgium Ghent University Ghent Belgium Université Libre de Bruxelles Bruxelles Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual de Campinas Campinas Brazil Federal University of Rio Grande do Sul Porto Alegre Brazil UFMS Nova Andradina Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Instituto De Alta Investigación Universidad de Tarapacá Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Nanjing Normal University Nanjing China The University of Iowa Iowa City U.S.A. Institute of High Energy Physics Beijing China University of Chinese Academy of Sciences Beijing China China Center of Advanced Science and Technology Beijing China China Spallation Neutron Source Guangdong China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Guangdong Provincial Key Laboratory of Nuclear Science and Guangdong-Hong Kong Joint Laboratory of Quantum Matter South China Normal University Guangzhou China Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Henan Normal University Xinxiang China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) — Fudan University Shanghai China Zhejiang University Hangzhou

An analysis of the production of a Higgs boson (H) in association with a top quark-antiquark pair ( $$ \textrm{t}\overline{\textrm{t}}\textrm{H} $$ ) or a single top quark (tH) is presented. The Higgs boson decay into a bottom quark-antiquark pair (H → $$ \textrm{b}\overline{\textrm{b}} $$ ) is targeted, and three different final states of the top quark decays are considered, defined by the number of leptons (electrons or muons) in the event. The analysis utilises proton-proton collision data collected at the CeRN LHC with the CMS experiment at $$ \sqrt{s} $$ = 13 TeV in 2016–2018, which correspond to an integrated luminosity of 138 fb−1. The ob.e.ved $$ \textrm{t}\overline{\textrm{t}}\textrm{H} $$ production rate relative to the standard model expectation is 0.33 ± 0.26 = 0.33 ± 0.17(stat) ± 0.21(syst). Additionally, the $$ \textrm{t}\overline{\textrm{t}}\textrm{H} $$ production rate is determined in intervals of Higgs boson transverse momentum. An upper limit at 95% confidence level is set on the tH production rate of 14.6 times the standard model prediction, with an expectation of $$ {19.3}_{-6.0}^{+9.2} $$ . Finally, constraints are derived on the strength and structure of the coupling between the Higgs boson and the top quark from simultaneous extraction of the $$ \textrm{t}\overline{\textrm{t}}\textrm{H} $$ and tH production rates, and the results are combined with those obtained in other Higgs boson decay channels.

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Roadmap on Quantum Thermodynamics

arXiv

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arXiv 2025年

作者： Campbell, steve D’Amico, Irene Ciampini, Mario A. Anders, Janet Ares, Natalia Artini, simone Auffèves, Alexia Oftelie, Lindsay bassman bettmann, Laetitia P. bonança, Marcus V.s. busch, Thomas Campisi, Michele Cavalcante, Moallison F. Correa, Luis A. Cuestas, eloisa Dag, Ceren b. Dago, salambô Deffner, sebastian Del Campo, Adolfo Deutschmann-Olek, Andreas Donadi, sandro Doucet, emery elouard, Cyril ensslin, Klaus erker, Paul Fabbri, Nicole Fedele, Federico Fiusa, Guilherme Fogarty, Thomás Folk, Joshua Guarnieri, Giacomo Hegde, Abhaya s. Hernández-Gómez, santiago Hu, Chang-Kang Iemini, Fernando Karimi, bayan Kiesel, Nikolai Landi, Gabriel T. Lasek, Aleksander Lemziakov, sergei Monaco, Gabriele Lo Lutz, eric Lvov, Dmitrii Maillet, Olivier Mehboudi, Mohammad Mendonça, Taysa M. Miller, Harry J.D. Mitchell, Andrew K. Mitchison, Mark T. Mukherjee, Victor Paternostro, Mauro Pekola, Jukka Perarnau-Llobet, Martí Poschinger, Ulrich Rolandi, Alberto Rosa, Dario sánchez, Rafael santos, Alan C. sarthour, Roberto s. sela, eran solfanelli, Andrea souza, Alexandre M. splettstoesser, Janine Tan, Dian Tesser, Ludovico Van Vu, Tan Widera, Artur Halpern, Nicole Yunger Zawadzki, Krissia School of Physics University College Dublin Belfield Dublin 4 Ireland Centre for Quantum Engineering Science and Technology University College Dublin Dublin 4 Ireland School of Physics Engineering and Technology University of York York United Kingdom York Centre for Quantum Technologies University of York York United Kingdom Boltzmanngasse 5 ViennaA-1090 Austria Institute of Physics and Astronomy University of Potsdam Potsdam14476 Germany Department of Physics and Astronomy University of Exeter ExeterEX4 4QL United Kingdom Department of Engineering Science University of Oxford Parks Road OxfordOX1 3PJ United Kingdom Università degli Studi di Palermo Dipartimento di Fisica e Chimica - Emilio Segrè via Archirafi 36 PalermoI-90123 Italy MajuLab CNRS-UCA-SU-NUS-NTU International Joint Research Laboratory France Centre for Quantum Technologies National University of Singapore Singapore117543 Singapore NEST Istituto Nanoscienze-CNR and Scuola Normale Superiore Pisa56127 Italy School of Physics Trinity College Dublin College Green Dublin 2 Ireland Gleb Wataghin Physics Institute The University of Campinas Campinas São Paulo13083-859 Brazil Quantum Systems Unit OIST Graduate University Okinawa Onna904-0495 Japan Department of Physics University of Maryland Baltimore County BaltimoreMD21250 United States Quantum Science Institute University of Maryland Baltimore County BaltimoreMD21250 United States Universidad de La Laguna La Laguna38203 Spain Departamento de Física Universidad de La Laguna La Laguna38203 Spain Jülich54245 Germany Department of Physics Indiana University BloomingtonIN47405 United States Department of Physics Harvard University 17 Oxford Street CambridgeMA02138 United States National Quantum Laboratory College ParkMD20740 United States Department of Physics and Materials Science University of Luxembourg LuxembourgL-1511 Luxembourg Donostia International Physics Center San SebastianE-20018 Spain Au

The last two decades has seen quantum thermodynamics become a well established field of research in its own right. In that time, it has demonstrated a remarkably broad applicability, ranging from providing foundational advances in the understanding of how thermodynamic principles apply at the nano-scale and in the presence of quantum coherence, to providing a guiding framework for the development of efficient quantum devices. exquisite levels of control have allowed state-of-the-art experimental platforms to explore energetics and thermodynamics at the smallest scales which has in turn helped to drive theoretical advances. This Roadmap provides an overview of the recent developments across many of the field’s sub-disciplines, assessing the key challenges and future prospects, providing a guide for its near term progress. Copyright © 2025, The Authors. All rights reserved.

关键词： Temperature

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A survey on morphological assessment of knee articular cartilage from MR images

A survey on morphological assessment of knee articular carti...

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2018 International Conference on smart systems and Inventive technology, ICssIT 2018

作者： Mahendrakar, Pavan biradar, shankremma Naik, sakku Arjunwad, shruti Khatavi, Rajashree Department of Computer Science and Engineering B.L.D.E.A's V. P. Dr. P G. Halakatti College of Engineeringand Technology Vijayapur Karnataka586103 India

ISBN: (纸本)9781538658734

Nowadays, articular disorders and musculoskeletal diseases are one of the major health issues and attack usually the older generations. The human knee joint is commonly infected by osteoarthritis (OA) disease. OA can affect the joints of the spine, fingers, thumbs, hips, knees, and toes, but it is most prevalent in the knee and hip joints. Here we are concentrating only on Knee joints. Knee Osteoarthritis is a serious, excruciating & potentially life-threatening joint disease, may lead to permanent disability. It can be detected by measuring changes in knee internal tissues such as cartilage, meniscus and subchondral Cartilage. For detecting knee osteoarthritis, Magnetic Resonance Imaging is performed to obtain a detailed picture of knee joint and change are measured from MR images. MRI is a test that uses powerful magnets, radio waves, and a make to comprehensive pictures inside our *** main ob.e.tive is to develop a fully automated non-contrast MRI application for detection and segmentation of knee bones. The proposed approach is based on Convolution Neural Network to achieve a robust and perfect segmentation of even highly pathological knee structures. © 2018 Ieee.

关键词： Cartilage

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Roadmap for Optical Tweezers

arXiv

引用

arXiv 2022年

作者： Volpe, Giovanni Maragò, Onofrio M. Rubinzstein-Dunlop, Halina Pesce, Giuseppe stilgoe, Alexander b. Volpe, Giorgio Tkachenko, Georgiy Truong, Viet Giang Chormaic, síle Nic Kalantarifard, Fatemeh elahi, Parviz Käll, Mikael Callegari, Agnese Marqués, Manuel I. Neves, Antonio A.R. Moreira, Wendel L. Fontes, Adriana Cesar, Carlos L. saija, Rosalba saidi, Abir beck, Paul eismann, Jörg s. banzer, Peter Fernandes, Thales F.D. Pedaci, Francesco bowen, Warwick P. Vaippully, Rahul Lokesh, Muruga Roy, basudev Thalhammer, Gregor Ritsch-Marte, Monika García, Laura Pérez Arzola, Alejandro V. Castillo, Isaac Pérez Argun, Aykut Muenker, Till M. Vos, bart e. betz, Timo Cristiani, Ilaria Minzioni, Paolo Reece, Peter J. Wang, Fan McGloin, David Ndukaife, Justus C. Quidant, Romain Roberts, Reece P. Laplane, Cyril Volz, Thomas Gordon, Reuven Hanstorp, Dag Marmolejo, Javier Tello bruce, Graham D. Dholakia, Kishan Li, Tongcang brzobohatý, Oto simpson, stephen H. Zemánek, Pavel Ritort, Felix Roichman, Yael bobkova, Valeriia Wittkowski, Raphael Denz, Cornelia Kumar, G.V. Pavan Foti, Antonino Donato, Maria Grazia Gucciardi, Pietro G. Gardini, L. bianchi, G. Kashchuk, A. Capitanio, M. Paterson, Lynn Jones, P.H. berg-sørensen, Kirstine barooji, Younes F. Oddershede, Lene b. Pouladian, Pegah Preece, Daryl Adiels, Caroline beck De Luca, Anna Chiara Magazzù, A. Ciriza, D. bronte Iatì, M.A. swartzlander, Grover A. Department of Physics University of Gothenburg Gothenburg41296 Sweden CNR IPCF Istituto per i Processi Chimico-Fisici Messina Italy ARC CoE for Engineered Quantum Systems School of Mathematics and Physics The University of Queensland Australia Department of Chemistry University College London 20 Gordon Street LondonWC1H 0AJ United Kingdom Dipartimento di Fisica Università degli studi di Napoli Federico II Italy Okinawa Institute of Science and Technology Graduate University Japan Department of Health Technology Technical University of Denmark Lyngby Denmark Physics Department Boğaziçi University Istanbul Turkey Chalmers University of Technology Gothenburg Sweden Departamento de Física de Materiales IFIMAC Instituto Nicolás Cabrera Universidad Autónoma de Madrid Spain Santo André São Paulo Brazil Tratamento de dados geofísicos Tecnologia e processamento de geologia e geofísica Exploração Petrobras - Petróleo Brasileiro S.A. Rio de Janeiro Rio de Janeiro Brazil Pernambuco Recife Brazil Ceará Fortaleza Brazil Campinas São Paulo Brazil Dipartimento di Scienze Matematiche e Informatiche Scienze Fisiche e Scienze della Terra Università di Messina Italy Institute of Optics Information and Photonics University Erlangen-Nuremberg Staudtstr. 7/B2 ErlangenD-91058 Germany Max Planck Institute for the Science of Light Staudtstr. 2 ErlangenD-91058 Germany Institute of Physics University of Graz NAWI Graz Universitätsplatz 5 Graz8010 Austria Centre de Biologie Structurale CNRS INSERM Univ.Montpellier France Indian Institute of Technology Madras India Institute for Biomedical Physics Medical University of Innsbruck Austria Instituto de Física Universidad Nacional Autónoma de México Ciudad de MéxicoC. P. 04510 Mexico Departamento de Física Universidad Autónoma Metropolitana-Iztapalapa San Rafael Atlixco 186 Ciudad de México09340 Mexico Third Institute of Physics - Biophysics Georg August University Göttingen Germany Department of Electrical

Optical tweezers are tools made of light that enab.e.contactless pushing, trapping, and manipulation of ob.e.ts ranging from atoms to space light sails. since the pioneering work by Arthur Ashkin in the 1970s, optical tweezers have evolved into sophisticated instruments and have b.e. employed in a broad range of applications in life sciences, physics, and engineering. These include accurate force and torque measurement at the femtonewton level, microrheology of complex fluids, single micro- and nanoparticle spectroscopy, single-cell analysis, and statistical-physics experiments. This roadmap provides insights into current investigations involving optical forces and optical tweezers from their theoretical foundations to designs and setups. It also offers perspectives for applications to a wide range of research fields, from biophysics to space exploration. Copyright © 2022, The Authors. All rights reserved.

关键词： Optical tweezers

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