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arXiv 2024年

作者： Acero, M.A. Acharya, B. Adamson, P. Anfimov, N. Antoshkin, A. Arrieta-Diaz, E. Asquith, L. Aurisano, A. Back, A. Balashov, N. Baldi, P. Bambah, B.A. Bannister, E.F. Barros, A. Bat, A. Bays, K. Bernstein, R. Bezerra, T.J.C. Bhatnagar, V. Bhattarai, D. Bhuyan, B. Bian, J. Booth, A.C. Bowles, R. Brahma, B. Bromberg, C. Buchanan, N. Butkevich, A. Calvez, S. Carroll, T.J. Catano-Mur, E. Cesar, J.P. Chatla, A. Chirco, R. Choudhary, B.C. Christensen, A. Cicala, M.F. Coan, T.E. Cooleybeck, A. Cortes-Parra, C. Coveyou, D. Cremonesi, L. Davies, G.S. Derwent, P.F. Ding, P. Djurcic, Z. Dobbs, K. Dolce, M. Doyle, D. Tonguino, D. Dueñas Dukes, E.C. Dye, A. Ehrlich, R. Ewart, E. Filip, P. Frank, M.J. Gallagher, H.R. Gao, F. Giri, A. Gomes, R.A. Goodman, M.C. Groh, M. Group, R. Habig, A. Hakl, F. Hartnell, J. Hatcher, R. Hausner, H. He, M. Heller, K. Hewes, V. Himmel, A. Horoho, T. Ivanova, A. Jargowsky, B. Jarosz, J. Judah, M. Kakorin, I. Kalitkina, A. Kaplan, D.M. Kirezli-Ozdemir, B. Kleykamp, J. Klimov, O. Koerner, L.W. Kolupaeva, L. Kralik, R. Kumar, A. Kus, V. Lackey, T. Lang, K. Lesmeister, J. Lister, A. Liu, J. Lock, J.A. Lokajicek, M. MacMahon, M. Magill, S. Mann, W.A. Manoharan, M.T. Plata, M. Manrique Marshak, M.L. Martinez-Casales, M. Matveev, V. Mehta, B. Messier, M.D. Meyer, H. Miao, T. Mikola, V. Miller, W.H. Mishra, S. Mishra, S.R. Mislivec, A. Mohanta, R. Moren, A. Morozova, A. Mu, W. Mualem, L. Muether, M. Myers, D. Naples, D. Nath, A. Nelleri, S. Nelson, J.K. Nichol, R. Niner, E. Norman, A. Norrick, A. Oh, H. Olshevskiy, A. Olson, T. Ozkaynak, M. Pal, A. Paley, J. Panda, L. Patterson, R.B. Pawloski, G. Petti, R. Plunkett, R.K. Prais, L.R. Rabelhofer, M. Rafique, A. Raj, V. Rajaoalisoa, M. Ramson, B. Rebel, B. Roy, P. Samoylov, O. Sanchez, M.C. Falero, S. Sánchez Shanahan, P. Sharma, P. Sheshukov, A. Shmakov, A. Shivam Shorrock, W. Shukla, S. Singha, D.K. Singh, I. Singh, P. Singh, V. Argonne National Laboratory ArgonneIL60439 United States Universidad del Atlantico Carrera 30 No. 8-49 Puerto Colombia Atlantico Colombia Bandirma Onyedi Eylül University Faculty of Engineering and Natural Sciences Engineering Sciences Department Bandirma Balıkesir10200 Turkey Department of Physics Institute of Science Banaras Hindu University Varanasi221 005 India California Institute of Technology PasadenaCA91125 United States Charles University Faculty of Mathematics and Physics Institute of Particle and Nuclear Physics Prague Czech Republic Department of Physics University of Cincinnati CincinnatiOH45221 United States Department of Physics Cochin University of Science and Technology Kochi682 022 India Department of Physics Colorado State University Fort CollinsCO80523-1875 United States Czech Technical University in Prague Brehova 7 Prague 1115 19 Czech Republic Department of Physics and Astrophysics University of Delhi Delhi110007 India Department of Physics Erciyes University Kayseri38030 Turkey Fermi National Accelerator Laboratory BataviaIL60510 United States Florida State University TallahasseeFL32306 United States Instituto de Física Universidade Federal de Goiás Goiás Goiânia74690-900 Brazil Department of Physics IIT Guwahati Guwahati781 039 India Department of Physics University of Houston HoustonTX77204 United States School of Physics University of Hyderabad Hyderabad500 046 India Department of Physics IIT Hyderabad Hyderabad502 205 India Illinois Institute of Technology ChicagoIL60616 United States Indiana University BloomingtonIN47405 United States Institute of Computer Science The Czech Academy of Sciences Prague182 07 Czech Republic Institute for Nuclear Research of Russia Academy of Sciences 60th October Anniversary prospect Moscow117312 Russia Institute of Physics The Czech Academy of Sciences Prague182 21 Czech Republic Department of Physics and Astronomy Iowa State University AmesIA5001

We report a search for neutrino oscillations to sterile neutrinos under a model with three active and one sterile neutrinos (3+1 model). This analysis uses the NOvA detectors exposed to the NuMI beam, running in neutrino mode. The data exposure, 13.6 × 1020 protons on target, doubles that previously analyzed by NOvA, and the analysis is the first to use νµ charged-current interactions in conjunction with neutral-current interactions. Neutrino samples in the Near and Far detectors are fitted simultaneously, enabling the search to be carried out over a ∆m241 range extending 2 (3) orders of magnitude above (below) 1 eV2. NOvA finds no evidence for active-to-sterile neutrino oscillations under the 3+1 model at 90 % confidence level. New limits are reported in multiple regions of parameter space, excluding some regions currently allowed by IceCube at 90 % confidence level. We additionally set the most stringent limits for anomalous ντ appearance for ∆m241 ≤ 3 eV2 © 2024, CC BY.

关键词： Particle detectors

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Green Energy Sources: Issues and Challenges

Green Energy Sources: Issues and Challenges

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Roedunet International Conference (RoEduNet)

作者： Mostafa Abdulghafoor Mohammed Inas Adnan Mohammed Raed.A. Hasan Nicolae Ţăpuş Ahmed Hussien ali Omar A. Hammood Faculty of Automatic Control and Computers University Polytechnic of Bucharest/Romania The Great Emam University College Baghdad University of Information Technology and Communications / college of Engineering/ Baghdad Iraq Faculty of Al-dour Technical institute Northern Technical University Mosel IRAQ Faculty of Automatic Control and Computers University Polytechnic of Bucharest/Romania Computer Science Department AL Salam University College Baghdad Iraq Faculty of Computer Systems and Software Engineering UniversityMalaysia Pahang Malaysia

Mobile offloading is a platform that facilitates the distribution of computationally intensive tasks from mobile devices to the cloud or other devices in order to conserve energy and improve performance. The concept is practically based on the idea of exchanging relatively low communication energy for high computation power utilization. Efforts have been channeled towards energy conservation by clusters using Dynamic Power Management (DPM). This paper is a review for green energy sources for reducing energy and using energy consumption to manage sources by stating the latest studies of energy consumption and energy consumptions.

关键词： Energy consumption Task analysis Servers Energy efficiency Power system management Voltage control Cloud computing

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Search for CP-Violating Neutrino Nonstandard Interactions with the NOvA Experiment

arXiv

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arXiv 2024年

作者： Acero, M.A. Acharya, B. Adamson, P. aliaga, L. Anfimov, N. Antoshkin, A. Arrieta-Diaz, E. Asquith, L. Aurisano, A. Back, A. Balashov, N. Baldi, P. Bambah, B.A. Bat, A. Bays, K. Bernstein, R. Bezerra, T.J.C. Bhatnagar, V. Bhattarai, D. Bhuyan, B. Bian, J. Booth, A.C. Bowles, R. Brahma, B. Bromberg, C. Buchanan, N. Butkevich, A. Calvez, S. Carroll, T.J. Catano-Mur, E. Cesar, J.P. Chatla, A. Chaudhary, S. Chirco, R. Choudhary, B.C. Christensen, A. Cicala, M.F. Coan, T.E. Cooleybeck, A. Cortes-Parra, C. Coveyou, D. Cremonesi, L. Davies, G.S. Derwent, P.F. Djurcic, Z. Dolce, M. Doyle, D. Tonguino, D. Dueñas Dukes, E.C. Dye, A. Ehrlich, R. Ewart, E. Filip, P. Franc, J. Frank, M.J. Gallagher, H.R. Gao, F. Giri, A. Gomes, R.A. Goodman, M.C. Groh, M. Group, R. Habig, A. Hakl, F. Hartnell, J. Hatcher, R. He, M. Heller, K. Hewes, V. Himmel, A. Ivaneev, Y. Ivanova, A. Jargowsky, B. Jarosz, J. Johnson, C. Judah, M. Kakorin, I. Kaplan, D.M. Kalitkina, A. Kleykamp, J. Klimov, O. Koerner, L.W. Kolupaeva, L. Kralik, R. Kumar, A. Kuruppu, C.D. Kus, V. Lackey, T. Lang, K. Lesmeister, J. Lister, A. Liu, J. Lock, J.A. Lokajicek, M. MacMahon, M. Magill, S. Mann, W.A. Manoharan, M.T. Plata, M. Manrique Marshak, M.L. Martinez-Casales, M. Matveev, V. Mehta, B. Messier, M.D. Meyer, H. Miao, T. Mikola, V. Miller, W.H. Mishra, S. Mishra, S.R. Mislivec, A. Mohanta, R. Moren, A. Morozova, A. Mu, W. Mualem, L. Muether, M. Mulder, K. Myers, D. Naples, D. Nath, A. Nelleri, S. Nelson, J.K. Nichol, R. Niner, E. Norman, A. Norrick, A. Nosek, T. Oh, H. Olshevskiy, A. Olson, T. Ozkaynak, M. Pal, A. Paley, J. Panda, L. Patterson, R.B. Pawloski, G. Petrova, O. Petti, R. Prais, L.R. Rafique, A. Raj, V. Rajaoalisoa, M. Ramson, B. Ravelhofer, M. Rebel, B. Roy, P. Samoylov, O. Sanchez, M.C. Falero, S. Sánchez Shanahan, P. Sharma, P. Shmakov, A. Sheshukov, A. Shukla, S. Singha, D.K. Shorrock, W. Singh, I. Singh, P. Singh, V. Argonne National Laboratory Argonne IL60439 United States Universidad del Atlantico Carrera 30 No. 8-49 Puerto Colombia Atlantico Colombia Bandirma Onyedi Eylül University Faculty of Engineering and Natural Sciences Engineering Sciences Department Bandirma Balıkesir10200 Turkey Department of Physics Institute of Science Banaras Hindu University Varanasi221 005 India California Institute of Technology PasadenaCA91125 United States Charles University Faculty of Mathematics and Physics Institute of Particle and Nuclear Physics Prague Czech Republic Department of Physics University of Cincinnati CincinnatiOH45221 United States Department of Physics Cochin University of Science and Technology Kochi682 022 India Department of Physics Colorado State University Fort CollinsCO80523-1875 United States Czech Technical University in Prague Brehova 7 Prague 1115 19 Czech Republic Department of Physics and Astrophysics University of Delhi Delhi110007 India Department of Physics Erciyes University Kayseri38030 Turkey Fermi National Accelerator Laboratory BataviaIL60510 United States Florida State University TallahasseeFL32306 United States Instituto de Física Universidade Federal de Goiás Goiás Goiânia74690-900 Brazil Department of Physics IIT Guwahati Guwahati781 039 India Department of Physics University of Houston HoustonTX77204 United States School of Physics University of Hyderabad Hyderabad500 046 India Department of Physics IIT Hyderabad Hyderabad502 205 India Illinois Institute of Technology ChicagoIL60616 United States Indiana University BloomingtonIN47405 United States Institute of Computer Science The Czech Academy of Sciences Prague182 07 Czech Republic Institute for Nuclear Research of Russia Academy of Sciences 7a 60th October Anniversary prospect Moscow117312 Russia Institute of Physics The Czech Academy of Sciences Prague182 21 Czech Republic Department of Physics and Astronomy Iowa State University AmesIA

This Letter reports a search for charge-parity (CP) symmetry violating nonstandard interactions (NSI) of neutrinos with matter using the NOvA Experiment, and examines their effects on the determination of the standard oscillation parameters. Data from νµ(ν¯µ) → νµ(ν¯µ) and νµ(ν¯µ) → νe(ν¯e) oscillation channels are used to measure the effect of the NSI parameters Εeµ and Εeτ. With 90% CL the magnitudes of the NSI couplings are constrained to be |Εeµ| 0.3 and |Εeτ| 0.4. A degeneracy at |Εeτ|≈ 1.8 is reported, and we observe that the presence of NSI limits sensitivity to the standard CP phase δCP © 2024, CC BY.

关键词： Atoms

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Comparing and Assessing the Enhancements of DYMO and OLSR in VANETs

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IOP Conference Series: Materials Science and engineering 2020年第1期917卷

作者： Waleed Khalid Ahmed Mohd Nazri bin Mohd Warip Waleed Khalid Abduljabbar Mohamed Elshaikh School of Computer and Communication Engineering University Malaysia Perlis (UniMAP) Department of Physics College of Applied Sciences University of Fallujah Al-Anbar Fallujah Iraq

The main aspect of this work is to study the differences and define the behaviour of two different routing protocols. The first side is Dynamic MANETs On- Demand (DYMO) while the other side is proactive, optimal link-state routing (OLSR) and both the first and second are interactive routing protocols in the Ad-hoc network (VANET). The efficiency of these protocols was analysed and studied based on the use of three performance indicators: PDR, normal load (NRO) and end-to-end de1ay (E2ED) on the ability to change the size of different nodes. Omnet ++ was used by the INET Framework. We also used the SUMO simulation tool to build random movement patterns for VANET. From full simulation, we noticed that OLSR is doing better than DYMO for VANET at a price. Late and, as a result, the development of OLSR work in VANETs compared to DYMO, packet receipt ratios (PDR), side-to-side delay, normal path load, and VANETs.

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Measurement of the double-differential cross section of muon-neutrino charged-current interactions with low hadronic energy in the NOvA Near Detector

arXiv

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arXiv 2024年

作者： Acero, M.A. Acharya, B. Adamson, P. aliaga, L. Anfimov, N. Antoshkin, A. Arrieta-Diaz, E. Asquith, L. Aurisano, A. Back, A. Balashov, N. Baldi, P. Bambah, B.A. Bannister, E. Barros, A. Bashar, S. Bat, A. Bays, K. Bernstein, R. Bezerra, T.J.C. Bhatnagar, V. Bhattarai, D. Bhuyan, B. Bian, J. Booth, A.C. Bowles, R. Brahma, B. Bromberg, C. Buchanan, N. Butkevich, A. Calvez, S. Carroll, T.J. Catano-Mur, E. Cesar, J.P. Chatla, A. Chirco, R. Choudhary, B.C. Christensen, A. Cicala, M.F. Coan, T.E. Cooleybeck, A. Cortes-Parra, C. Coveyou, D. Cremonesi, L. Davies, G.S. Derwent, P.F. Ding, P. Djurcic, Z. Dobbs, K. Dolce, M. Doyle, D. Tonguino, D. Dueñas Dukes, E.C. Dye, A. Ehrlich, R. Ewart, E. Filip, P. Frank, M.J. Gallagher, H.R. Gao, F. Giri, A. Gomes, R.A. Goodman, M.C. Groh, M. Group, R. Habig, A. Hakl, F. Hartnell, J. Hatcher, R. He, M. Heller, K. Hewes, V. Himmel, A. Horoho, T. Ivaneev, Y. Ivanova, A. Jargowsky, B. Jarosz, J. Johnson, C. Judah, M. Kakorin, I. Kaplan, D.M. Kalitkina, A. Kirezli-Ozdemir, B. Kleykamp, J. Klimov, O. Koerner, L.W. Kolupaeva, L. Kralik, R. Kumar, A. Kus, V. Lackey, T. Lang, K. Lesmeister, J. Lister, A. Liu, J. Lock, J.A. Lokajicek, M. MacMahon, M. Magill, S. Mann, W.A. Manoharan, M.T. Plata, M. Manrique Marshak, M.L. Martinez-Casales, M. Matveev, V. Mehta, B. Messier, M.D. Meyer, H. Miao, T. Miller, W.H. Mishra, S. Mishra, S.R. Mislivec, A. Mohanta, R. Moren, A. Morozova, A. Mu, W. Mualem, L. Muether, M. Mulder, K. Myers, D. Naples, D. Nath, A. Nelleri, S. Nelson, J.K. Nichol, R. Niner, E. Norman, A. Norrick, A. Nosek, T. Oh, H. Olshevskiy, A. Olson, T. Ozkaynak, M. Pal, A. Paley, J. Panda, L. Patterson, R.B. Pawloski, G. Petti, R. Porter, J.C.C. Prais, L.R. Rabelhofer, M. Rafique, A. Raj, V. Rajaoalisoa, M. Ramson, B. Rebel, B. Roy, P. Samoylov, O. Sanchez, M.C. Falero, S. Sánchez Shanahan, P. Sharma, P. Sheshukov, A. Shivam Shmakov, A. Shorrock, W. Shukla, S. Argonne National Laboratory ArgonneIL60439 United States Universidad del Atlantico Carrera 30 No. 8-49 Puerto Colombia Atlantico Colombia Bandirma Onyedi Eylül University Faculty of Engineering and Natural Sciences Engineering Sciences Department Bandirma Balıkesir10200 Turkey Department of Physics Institute of Science Banaras Hindu University Varanasi221 005 India California Institute of Technology PasadenaCA91125 United States Charles University Faculty of Mathematics and Physics Institute of Particle and Nuclear Physics Prague Czech Republic Department of Physics University of Cincinnati CincinnatiOH45221 United States Department of Physics Cochin University of Science and Technology Kochi682 022 India Department of Physics Colorado State University Fort CollinsCO80523-1875 United States Czech Technical University in Prague Brehova 7 Prague 1115 19 Czech Republic Department of Physics and Astrophysics University of Delhi Delhi110007 India Department of Physics Erciyes University Kayseri38030 Turkey Fermi National Accelerator Laboratory BataviaIL60510 United States Florida State University TallahasseeFL32306 United States Instituto de Física Universidade Federal de Goiás Goiás Goiânia74690-900 Brazil Department of Physics IIT Guwahati Guwahati781 039 India Department of Physics University of Houston HoustonTX77204 United States School of Physics University of Hyderabad Hyderabad500 046 India Department of Physics IIT Hyderabad Hyderabad502 205 India Illinois Institute of Technology ChicagoIL60616 United States Indiana University BloomingtonIN47405 United States Institute of Computer Science The Czech Academy of Sciences Prague182 07 Czech Republic Institute for Nuclear Research of Russia Academy of Sciences 7a 60th October Anniversary prospect Moscow117312 Russia Institute of Physics The Czech Academy of Sciences Prague182 21 Czech Republic Department of Physics and Astronomy Iowa State University AmesIA5

The NOvA collaboration reports cross-section measurements for νµ charged-current interactions with low hadronic energy (maximum kinetic energy of 250 MeV for protons and 175 MeV for pions) in the NOvA Near Detector. The results are presented as a double-differential cross section as a function of the direct observables of the final-state muon kinematics. Results are also presented as a single-differential cross section as a function of the derived square of the four-momentum transfer, Q2, and as a function of the derived neutrino energy. The data correspond to an accumulated 8.09×1020 protons-on-target (POT) in the neutrino mode of the NuMI beam, with a narrow band of neutrino energies peaked at 1.8 GeV. The analysis provides a sample of neutrino–nucleus interactions with an enhanced fraction of quasi-elastic and two-particle-two-hole (2p2h) interactions. This enhancement allows quantitative comparisons with various nuclear models. We find strong disagreement between data and theory-based models in various regions of the muon kinematic phase space, especially in the forward muon direction. Copyright © 2024, The Authors. all rights reserved.

关键词： Kinematics

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Magnetohydrodynamic with embedded particle-in-cell simulation of the Geospace Environment Modeling dayside kinetic processes challenge event

arXiv

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arXiv 2020年

作者： Chen, Yuxi Tóth, Gábor Hietala, Heli Vines, Sarah K. Zou, Ying Nishimura, Yukitoshi Silveira, Marcos V.D. Guo, Zhifang Lin, Yu Markidis, Stefano Department of Climate and Space Sciences and Engineering University of Michigan Ann ArborMI United States Space Research Laboratory Department of Physics and Astronomy University of Turku Finland Department of Earth Planetary and Space Sciences University of California Los AngelesCA United States Blackett Laboratory Imperial College London London United Kingdom Johns Hopkins University Applied Physics Laboratory LaurelMD United States Center for Space Plasma and Aeronomic Research University of Alabama HuntsvilleAL United States Department of Electrical and Computer Engineering Center for Space Physics Boston University BostonMA United States NASA Goddard Space Flight Center GreenbeltMD United States Catholic University of America WashingtonDC United States Physics Department Auburn University AuburnAL United States KTH Stockholm Sweden

We use the MHD with embedded particle-in-cell model (MHD-EPIC) to study the Geospace Environment Modeling (GEM) dayside kinetic processes challenge event at 01:50-03:00 UT on 2015-11-18, when the magnetosphere was driven by a steady southward IMF. In the MHD-EPIC simulation, the dayside magnetopause is covered by a PIC code so that the dayside reconnection is properly handled. We compare the magnetic fields and the plasma profiles of the magnetopause crossing with the MMS3 spacecraft observations. Most variables match the observations well in the magnetosphere, in the magnetosheath, and also during the current sheet crossing. The MHD-EPIC simulation produces flux ropes, and we demonstrate that some magnetic field and plasma features observed by the MMS3 spacecraft can be reproduced by a flux rope crossing event. We use an algorithm to automatically identify the reconnection sites from the simulation results. It turns out that there are usually multiple X-lines at the magnetopause. By tracing the locations of the X-lines, we find the typical moving speed of the X-line endpoints is about 70 km/s, which is higher than but still comparable with the ground-based observations. Copyright © 2020, The Authors. all rights reserved.

关键词： Magnetohydrodynamics

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Survey of software Development Effort Estimation Techniques

Survey of Software Development Effort Estimation Techniques

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2018年第七届软件与计算机应用国际会议

作者： Ayesha Saeed Wasi Haider Butt Farwa Kazmi Madeha Arif Department of Computer and Software Engineering College of Electrical and Mechanical Engineering National University of Sciences and Technology (NUST)

software development effort estimation is one of the most crucial activities in software engineering. Effort estimation permits managers and software engineers to anticipate, forecast, and precisely quote the schedule, budget and manpower requirements. By accurately estimating the effort;software projects can be saved from under run or over run. In this paper we have summarized and then analyzed the past work of software effort estimation in a systematic way. 10 researches were surveyed and explained briefly that how they are contributing towards solving the effort estimation problem in terms of time, cost or test. It also emphasizes that various effort estimation models have different pros and cons and can be used in different context on basis of different types of historical data. The survey discovered the most popular models used for effort prediction are supervised learning algorithms. The trends identified through this survey can help in exploring the potential research areas.

关键词： software Effort Estimation Supervised Learning Systematic literature review

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Changing life expectancy in European countries 1990–2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021

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The Lancet Public Health 2025年第3期10卷 e172-e188页

作者： Steel, Nicholas Bauer-Staeb, Clarissa Maria Mercedes Ford, John A. Abbafati, Cristiana Abdalla, Mohammed altigani Abdelkader, Atef Abdi, Parsa Zuñiga, Roberto Ariel Abeldaño Abiodun, Olugbenga Olusola Abolhassani, Hassan Abu-Gharbieh, Eman Abukhadijah, Hana J. Abu-Zaid, Ahmed Addo, Isaac Yeboah Addolorato, Giovanni Adekanmbi, Victor Adetunji, Juliana Bunmi Adeyeoluwa, Temitayo Esther Agardh, Emilie E. Agyemang-Duah, Williams Ahmad, Danish Ahmed, Ayman Ahmed, Syed Anees Akinosoglou, Karolina Akkaif, Mohammed Ahmed al Awaidy, Salah al Hasan, Syed Mahfuz al Zaabi, Omar ali Mohammed aldridge, Robert W. algammal, Abdelazeem M. al-Gheethi, Adel ali Saeed ali, Abid ali, Mohammed Usman ali, Syed Shujait ali, Waad alicandro, Gianfranco alif, Sheikh Mohammad al-Jumaily, Adel allebeck, Peter alrawashdeh, Ahmad al-Rifai, Rami H. alsabri, Mohammed A. alshahrani, Najim Z. aluh, Deborah Oyine al-Wardat, Mohammad al-Zyoud, Walid A. Amiri, Sohrab Anderlini, Deanna Andrei, Catalina Liliana Anil, Abhishek Anvari, Saeid Anyasodor, Anayochukwu Edward Appiah, Seth Christopher Yaw Aquilano, Michele Arabloo, Jalal Arafat, Mosab Areda, Demelash Aremu, Abdulfatai Armani, Keivan Armocida, Benedetta Ärnlöv, Johan Asaduzzaman, Muhammad Astell-Burt, Thomas Aujayeb, Avinash Ausloos, Marcel Azadnajafabad, Sina Aziz, Shahkaar Azzam, Ahmed Y. Babu, Giridhara Rathnaiah Badache, Andreea Corina Badiye, Ashish D. Bahramian, Saeed Baig, Atif Amin Baker, Jennifer L. Bansal, Hansi Bärnighausen, Till Winfried Barone, Mark Thomaz Ugliara Barrow, Amadou Barteit, Sandra Bashir, Shahid Bashiru, Hameed Akande Basso, João Diogo Bastan, Mohammad-Mahdi Basu, Sanjay Batra, Kavita Bauckneht, Matteo Baune, Bernhard T. Beghi, Massimiliano Beiranvand, Maryam Béjot, Yannick Bell, Michelle L. Bello, Olorunjuwon Omolaja Belo, Luis Beloukas, Apostolos Beneke, alice A. Bettencourt, Paulo J.G. Bhagavathula, Akshaya Srikanth Bhala, Neeraj Bhaskar, Sonu Bisulli, Francesca Bjørge, Tone Bodunrin, Aadam Olalekan Carvajal, alejandro Botero Bouaoud, Souad Brayne, Carol Brenner, H Department of Primary Care and Public Health University of East Anglia Norwich United Kingdom Office for Health Improvement and Disparities Department of Health and Social Care London United Kingdom Department of Legal and Economic Studies La Sapienza University Rome Italy Rome Italy Hull York Medical School University of Hull Hull United Kingdom Department of Mathematics and Sciences Ajman University Ajman United Arab Emirates Department of Medicine Memorial University St. John's NL Canada Postgraduate Department University of Sierra Sur Miahuatlan de Porfirio Diaz Mexico Yhteiskuntadatatieteen keskus (Centre for Social Data Science) Helsinki Finland Department of Internal Medicine Federal Medical Centre Abuja Nigeria Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Department of Medical Biochemistry and Biophysics Karolinska Institutet (Karolinska Institute) Stockholm Sweden Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Department of Biopharmaceutics and Clinical Pharmacy University of Jordan Amman Jordan Medical Research Center Hamad Medical Corporation Doha Qatar Department of Biochemistry and Molecular Medicine Alfaisal University Riyadh Saudi Arabia College of Graduate Health Sciences University of Tennessee Memphis TN United States School of Medicine Sydney NSW Australia Centre for Social Research in Health University of New South Wales Sydney NSW Australia Internal Medicine and Alcohol Related Disease Unit Fondazione Policlinico Universitario A. Gemelli IRCCS Rome Italy Department of Medical and Surgical Sciences Università Cattolica di Roma (Catholic University of Rome) Rome Italy Department of Obstetrics and Gynecology University of Texas Medical Branch Galveston TX United States Department of Biochemistry Osun State University Osogbo Nigeria Department of Pharmacology and Therapeutics University of Medical Sciences Ondo Ondo Nigeria Department of Veteri

Background: Decades of steady improvements in life expectancy in Europe slowed down from around 2011, well before the COVID-19 pandemic, for reasons which remain disputed. We aimed to assess how changes in risk factors and cause-specific death rates in different European countries related to changes in life expectancy in those countries before and during the COVID-19 pandemic. Methods: We used data and methods from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 to compare changes in life expectancy at birth, causes of death, and population exposure to risk factors in 16 European Economic Area countries (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, and Sweden) and the four UK nations (England, Northern Ireland, Scotland, and Wales) for three time periods: 1990–2011, 2011–19, and 2019–21. Changes in life expectancy and causes of death were estimated with an established life expectancy cause-specific decomposition method, and compared with summary exposure values of risk factors for the major causes of death influencing life expectancy. Findings: all countries showed mean annual improvements in life expectancy in both 1990–2011 (overall mean 0·23 years [95% uncertainty interval [UI] 0·23 to 0·24]) and 2011–19 (overall mean 0·15 years [0·13 to 0·16]). The rate of improvement was lower in 2011–19 than in 1990–2011 in all countries except for Norway, where the mean annual increase in life expectancy rose from 0·21 years (95% UI 0·20 to 0·22) in 1990–2011 to 0·23 years (0·21 to 0·26) in 2011–19 (difference of 0·03 years). In other countries, the difference in mean annual improvement between these periods ranged from –0·01 years in Iceland (0·19 years [95% UI 0·16 to 0·21] vs 0·18 years [0·09 to 0·26]), to –0·18 years in England (0·25 years [0·24 to 0·25] vs 0·07 years [0·06 to 0·08]). In 2019–21, there was an overall decrease in mean annual life expectancy a

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Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017 (vol 395, pg 1779, 2020)

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LANCET 2020年第10239期395卷 1762-1762页

作者： Reiner, R. C., Jr. Hay, S., I Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Global Health School of Medicine University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States College of Health and Medical Sciences Haramaya University Harar Ethiopia Department of Epidemiology and Biostatistics Haramaya University Harar Ethiopia Department of Medical Laboratory Sciences Haramaya University Harar Ethiopia School of Nursing and Midwifery Haramaya University Harar Ethiopia School of Pharmacy Haramaya University Harar Ethiopia School of Public Health Haramaya University Harar Ethiopia Haramaya University Harar Ethiopia Advanced Diagnostic and Interventional Radiology Research Center Tehran University of Medical Sciences Tehran Iran Cancer Biology Research Center Tehran University of Medical Sciences Tehran Iran Cancer Research Institute Tehran University of Medical Sciences Tehran Iran Department of Economics and Management Sciences for Health Tehran University of Medical Sciences Tehran Iran Department of Environmental Health Engineering Tehran University of Medical Sciences Tehran Iran Department of Epidemiology and Biostatistics Tehran University of Medical Sciences Tehran Iran Department of Health Management and Economics Tehran University of Medical Sciences Tehran Iran Department of Microbiology Tehran University of Medical Sciences Tehran Iran Department of Pharmacology Tehran University of Medical Sciences Tehran Iran Digestive Diseases Research Institute Tehran University of Medical Sciences Tehran Iran Endocrinology and Metabolism Research Center Tehran University of Medical Sciences Tehran Iran Hematology-Oncology and Stem Cell Transplantation Research Center Tehran University of Medical Sciences Tehran Iran Iran National Institute of Health Research Tehran University of Medical Sciences Tehran Iran Metabolomics and

SummaryBackgroundAcross low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea. MethodsWe used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates. FindingsThe greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1–65·8), 17·4% (7·7–28·4), and 59·5% (34·2–86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage. InterpretationBy co-analysing geospatial trends in dia

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Quantum-Behaved Bat algorithm for Combined Economic Emission Dispatch Problem with Valve-Point Effect 4th

Quantum-Behaved Bat Algorithm for Combined Economic Emission...

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4th International Conference on Advanced engineering Theory and Applications, AETA 2017

作者： Mahdi, Fahad Parvez Vasant, Pandian Abdullah-al-Wadud, M. Watada, Junzo Kallimani, Vish Department of Fundamental and Applied Sciences Universiti Teknologi PETRONAS Seri Iskandar TronohPerak31750 Malaysia Department of Computer and Information Sciences Universiti Teknologi PETRONAS Seri Iskandar TronohPerak31750 Malaysia Department of Software Engineering College of Computer and Information Sciences King Saud University Riyadh12371 Saudi Arabia

ISBN: (纸本)9783319698137

Combined economic emission dispatch (CEED) is a multi-objective optimization problem that deals with the minimization of total fuel cost and total emission of hazardous gases in thermal power generation system, while satisfying all equal and inequality constraints. In this research, quantum-behaved bat algorithm (QBA) is proposed and applied to solve non-linear multi-objective CEED problem. Valve-point effect is considered along with CEED as a practical constraint of power generation system. QBA is applied to 10-unit power generation system and compared separately as single objective economic and emission dispatch problems as well as multi-objective CEED problem with other existing methods like ABC_PSO, DE, NSGA-II, SPEA-2 and SA. The obtained results and comparison of results demonstrate the power of QBA in terms of solution quality, convergence characteristics and computational efficiency. © Springer International Publishing AG 2018.

关键词： Computational efficiency

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