Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk by Zhu, Yinghan, Maikusa, Norihide, Radua, Joaquim, Sämann, Philipp G., Fusar-Poli, Paolo, Agartz, Ingrid, Andreassen, Ole A., Bachman, Peter, Baeza, Inmaculada, Chen, Xiaogang, Choi, Sunah, Corcoran, Cheryl M., Ebdrup, Bjørn H., Fortea, Adriana, Garani, Ranjini Rg, Glenthøj, Birte Yding, Glenthøj, Louise Birkedal, Haas, Shalaila S., Hamilton, Holly K., Hayes, Rebecca A., He, Ying, Heekeren, Karsten, Kasai, Kiyoto, Katagiri, Naoyuki, Kim, Minah, Kristensen, Tina D., Kwon, Jun Soo, Lawrie, Stephen M., Lebedeva, Irina, Lee, Jimmy, Loewy, Rachel L., Mathalon, Daniel H., McGuire, Philip, Mizrahi, Romina, Mizuno, Masafumi, Møller, Paul, Nemoto, Takahiro, Nordholm, Dorte, Omelchenko, Maria A., Raghava, Jayachandra M., Røssberg, Jan I., Rössler, Wulf, Salisbury, Dean F., Sasabayashi, Daiki, Smigielski, Lukasz, Sugranyes, Gisela, Takahashi, Tsutomu, Tamnes, Christian K., Tang, Jinsong, Theodoridou, Anastasia, Tomyshev, Alexander S., Uhlhaas, Peter J., Værnes, Tor G., van Amelsvoort, Therese A. M. J., Waltz, James A., Westlye, Lars T., Zhou, Juan H., Thompson, Paul M., Hernaus, Dennis, Jalbrzikowski, Maria, Koike, Shinsuke

“…We created a model with individuals at CHR who developed psychosis later (CHR-PS+) from healthy controls (HCs) that can differentiate each other. We also evaluated whether we could distinguish CHR-PS+ individuals from those who did not develop psychosis later (CHR-PS-) and those with uncertain follow-up status (CHR-UNK). …”
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Semantic scene understanding on 3D point clouds by Dong, Shichao

“…This research mainly focuses on the task of 3D instance segmentation, which aims to predict both semantic and instance labels for each point in point clouds. This is a fundamental and challenging task for scene understanding, with a variety of real-world applications, such as indoor robots, autonomous driving, drones, AR/VR devices, etc. …”
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Scheduling and resource optimization in rail operations : models and algorithms by Birhade, Mahendra Pandharinath

“…Our model incorporates deadheading, light heading and maintenance constraints of locomotives and generates a locomotive schedule for predefined timetable and route for each locomotive that can be implemented without further adjustment. …”
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RES.CD-001 Leadership and Empowerment: Resources from Graduate Women at MIT (GWAMIT), Spring 2012 by Members and Guest Speakers, GWAMIT

“…This OCW site features selected videos from the two conferences GWAMIT runs each academic year: a Leadership Conference in the fall and an Empowerment Conference in the spring. …”
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探究游戏主题曲的歌曲字幕翻译策略 —— 以《英雄联盟》2023年全球总决赛主题曲 《GODS登神》为例 = Subtitling strategies for game theme song —— taking league of legends 2023 global finals theme song “GODS” as example... by 黄裕惠 Wong, Rebecca Yu Hui

“…Specifically, the theme song released for each season's Global Finals serves not only as music but also as powerful tools for music marketing and emotional resonance. …”
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Detection of road markings for advanced driver assistance by Suchitra Sathyanarayana

“…It relies on decomposing the arrow markings into its constituent parts by representing each part with a unique shape signature using a combination of GAH, signed edges and HT. …”
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Uncertainty quantification framework for combined statistical spatial downscaling and temporal disaggregation for climate change impact studies on hydrology by Rajendran Queen Suraajini

“…In KNN-BUQSDM, KNN was used to determine the precipitation occurrence and to classify the wet days into different rainfall types based on the rainfall magnitude. For each rainfall type, the rainfall amount was estimated using a Gaussian Processes (GP) model. …”
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Evaluation of diabetic wound healing properties of moringa oleifera lam using in vitro and in vivo wound models by Muhammad Amali, Abubakar

“…Animals were grouped into six, consisting of six rats in each group (n=6): Two groups of normal and diabetic controls, three groups of 0.5%, 1% and 2% w/w, aqueous fraction treated and one group of positive control that received 1% w/w silver sulfadiazine as standard drug. …”
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RES.12-001 Topics in Fluid Dynamics, Spring 2010 by Price, James F.

“…Lagrangian and Eulerian Representations of Fluid Flow: Kinematics and the Equations of Motion The goal of this resource is to help each student master the concepts and mathematical tools that make up the foundation of classical and geophysical fluid dynamics. …”
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RES.12-001 Topics in Fluid Dynamics, Fall 2021 by Price, James F.

“…The essays are: Dimensional Analysis of Models and Data Sets: Similarity Solutions and Scaling Analysis, A Coriolis Tutorial, and Lagrangian and Eulerian Representations of Fluid Flow: Kinematics and the Equations of Motion The goal of this resource is to help each student master the concepts and mathematical tools that make up the foundation of classical and geophysical fluid dynamics. …”
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Graph representation learning by Zhang, Xinyi

“…Systematically analyses are conducted to show the learning efficiency of eHIN and the properties of node representations learned from different meta-paths. In each work, we also discussed the performance of the learned graph representations in the corresponding applications such as graph classification, link prediction as well as the node classification, and the proposed methods show promising performance on almost all the tested applications and datasets.…”
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Evolutionary explanations and the debunking of moral beliefs by Cofnas, N

“…A recent study purports to support Westermarck's account by showing that unrelated children raised in the same peer groups on kibbutzim feel sexual aversion toward each other and morally oppose third-party intra-peer-group sex, but this study has been misinterpreted. …”

Differences in the effectiveness of individual-level smoking cessation interventions by socioeconomic status by Theodoulou, A, Fanshawe, TR, Leavens, E, Theodoulou, E, Wu, AD, Heath, L, Stewart, C, Nollen, N, Ahluwalia, JS, Butler, AR, Hajizadeh, A, Thomas, J, Lindson, N, Hartmann-Boyce, J

“…Where possible, we calculated ratios of odds ratios (ROR) with 95% confidence intervals (CIs) for each study, comparing lower to higher SES. We pooled RORs by intervention type in random‐effects meta‐analyses, using the generic inverse‐variance method. …”

Interventions for quitting vaping by Butler, AR, Lindson, N, Livingstone-Banks, J, Notley, C, Turner, T, Rigotti, NA, Fanshawe, TR, Dawkins, L, Begh, R, Wu, AD, Brose, L, Conde, M, Simonavičius, E, Hartmann-Boyce, J

“…<p><strong> Objectives</strong></p> To conduct a living systematic review assessing the benefits and harms of interventions to help people stop vaping compared to each other or to placebo or no intervention. <br> To also assess how these interventions affect the use of combustible tobacco, and whether the effects vary based on participant characteristics. …”

Understanding lived experiences of bereaved parents of children with chronic life-threatening Illness : towards a culture-specific and meaning-oriented narrative E-writing interven... by Dutta, Oindrila

“…The methodologies and findings from each study are concisely summarized below. Study 1 systematically reviewed the lived experience of parents across the world who lost their child to a chronic life-threatening illness. …”
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Computational analysis for infectious diseases surveillance and host-pathogen interactions (in the context of Influenza A viruses) by Beyene, Biruhalem Taye

“…The result showed that the expression signatures of different IAV isolates in a single species cell type are more similar to each other compared to the expression signatures of a single isolate in different species’ cell types. …”
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Evaluation of Enterococcus hirae isolated from vegetable wastes as probiotic and improvement of immune response in African catfish (Clarias spp.) by Hamid, Nur Hidayahanum

“…The feeding trials were conducted in 300-L fiber glass tanks each containing 200 litres of freshwater with 30 fish per tank. …”
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A search for rare B → Dμ+μ− decays by Aaij, R., Abdelmotteleb, A. S. W., Abellan Beteta, C., Abudinén, F., Ackernley, T., Adeva, B., Adinolfi, M., Adlarson, P., Afsharnia, H., Agapopoulou, C., Aidala, C. A., Ajaltouni, Z., Akar, S., Akiba, K., Albicocco, P., Albrecht, J., Alessio, F., Alexander, M., Alfonso Albero, A., Aliouche, Z., Alvarez Cartelle, P., Amalric, R., Amato, S., Amey, J. L., Amhis, Y., An, L., Anderlini, L., Andersson, M., Andreianov, A., Andreotti, M., Andreou, D., Ao, D., Archilli, F., Artamonov, A., Artuso, M., Aslanides, E., Atzeni, M., Audurier, B., Bachiller Perea, I., Bachmann, S., Bachmayer, M., Back, J. J., Bailly-reyre, A., Baladron Rodriguez, P., Balagura, V., Baldini, W., Baptista de Souza Leite, J., Barbetti, M., Barlow, R. J., Barsuk, S., Barter, W., Bartolini, M., Baryshnikov, F., Basels, J. M., Bassi, G., Batsukh, B., Battig, A., Bay, A., Beck, A., Becker, M., Bedeschi, F., Bediaga, I. B., Beiter, A., Belin, S., Bellee, V., Belous, K., Belov, I., Belyaev, I., Benane, G., Bencivenni, G., Ben-Haim, E., Berezhnoy, A., Bernet, R., Bernet Andres, S., Berninghoff, D., Bernstein, H. C., Bertella, C., Bertolin, A., Betancourt, C., Betti, F., Bezshyiko, Ia., Bhom, J., Bian, L., Bieker, M. S., Biesuz, N. V., Billoir, P., Biolchini, A., Birch, M., Bishop, F. C. R., Bitadze, A., Bizzeti, A., Blago, M. P., Blake, T., Blanc, F., Blank, J. E., Blusk, S., Bobulska, D., Bocharnikov, V., Boelhauve, J. A., Boente Garcia, O., Boettcher, T., Boldyrev, A., Bolognani, C. S., Bolzonella, R., Bondar, N., Borgato, F., Borghi, S., Borsato, M., Borsuk, J. T., Bouchiba, S. A., Bowcock, T. J. V., Boyer, A., Bozzi, C., Bradley, M. J., Braun, S., Brea Rodriguez, A., Brodzicka, J., Brossa Gonzalo, A., Brown, J., Brundu, D., Buonaura, A., Buonincontri, L., Burke, A. T., Burr, C., Bursche, A., Butkevich, A., Butter, J. S., Buytaert, J., Byczynski, W., Cadeddu, S., Cai, H., Calabrese, R., Calefice, L., Cali, S., Calvi, M., Calvo Gomez, M., Campana, P., Campora Perez, D. H., Campoverde Quezada, A. F., Capelli, S., Capriotti, L., Carbone, A., Cardinale, R., Cardini, A., Carniti, P., Carus, L., Casais Vidal, A., Caspary, R., Casse, G., Cattaneo, M., Cavallero, G., Cavallini, V., Celani, S., Cerasoli, J., Cervenkov, D., Chadwick, A. J., Chahrour, I., Chapman, M. G., Charles, M., Charpentier, Ph., Chavez Barajas, C. A., Chefdeville, M., Chen, C., Chen, S., Chernov, A., Chernyshenko, S., Chobanova, V., Cholak, S., Chrzaszcz, M., Chubykin, A., Chulikov, V., Ciambrone, P., Cicala, M. F., Cid Vidal, X., Ciezarek, G., Cifra, P., Ciullo, G., Clarke, P. E. L., Clemencic, M., Cliff, H. V., Closier, J., Cobbledick, J. L., Coco, V., Cogan, J., Cogneras, E., Cojocariu, L., Collins, P., Colombo, T., Congedo, L., Contu, A., Cooke, N., Corredoira, I., Corti, G., Couturier, B., Craik, D. C., Cruz Torres, M., Currie, R., Da Silva, C. L., Dadabaev, S., Dai, L., Dai, X., Dall’Occo, E., Dalseno, J., D’Ambrosio, C., Daniel, J., Danilina, A., d’Argent, P., Davies, J. E., Davis, A., De Aguiar Francisco, O., de Boer, J., De Bruyn, K., De Capua, S., De Cian, M., De Freitas Carneiro Da Graca, U., De Lucia, E., De Miranda, J. M., De Paula, L., De Serio, M., De Simone, D., De Simone, P., De Vellis, F., de Vries, J. A., Dean, C. T., Debernardis, F., Decamp, D., Dedu, V., Del Buono, L., Delaney, B., Dembinski, H.-P., Denysenko, V., Deschamps, O., Dettori, F., Dey, B., Di Nezza, P., Diachkov, I., Didenko, S., Dieste Maronas, L., Ding, S., Dobishuk, V., Dolmatov, A., Dong, C., Donohoe, A. M., Dordei, F., dos Reis, A. C., Douglas, L., Downes, A. G., Duda, P., Dudek, M. W., Dufour, L., Duk, V., Durante, P., Duras, M. M., Durham, J. M., Dutta, D., Dziurda, A., Dzyuba, A., Easo, S., Egede, U., Egorychev, V., Eirea Orro, C., Eisenhardt, S., Ejopu, E., Ek-In, S., Eklund, L., Elashri, M., Ellbracht, J., Ely, S., Ene, A., Epple, E., Escher, S., Eschle, J., Esen, S., Evans, T., Fabiano, F., Falcao, L. N., Fan, Y., Fang, B., Fantini, L., Faria, M., Farry, S., Fazzini, D., Felkowski, L., Feo, M., Fernandez Gomez, M., Fernez, A. D., Ferrari, F., Ferreira Lopes, L., Ferreira Rodrigues, F., Ferreres Sole, S., Ferrillo, M., Ferro-Luzzi, M., Filippov, S., Fini, R. A., Fiorini, M., Firlej, M., Fischer, K. M., Fitzgerald, D. S., Fitzpatrick, C., Fiutowski, T., Fleuret, F., Fontana, M., Fontanelli, F., Forty, R., Foulds-Holt, D., Franco Lima, V., Franco Sevilla, M., Frank, M., Franzoso, E., Frau, G., Frei, C., Friday, D. A., Frontini, L., Fu, J., Fuehring, Q., Fulghesu, T., Gabriel, E., Galati, G., Galati, M. D., Gallas Torreira, A., Galli, D., Gambetta, S., Gandelman, M., Gandini, P., Gao, H., Gao, Y., Gao, Y., Garau, M., Garcia Martin, L. M., Garcia Moreno, P., García Pardiñas, J., Garcia Plana, B., Garcia Rosales, F. A., Garrido, L., Gaspar, C., Geertsema, R. E., Gerick, D., Gerken, L. L., Gersabeck, E., Gersabeck, M., Gershon, T., Giambastiani, L., Gibson, V., Giemza, H. K., Gilman, A. L., Giovannetti, M., Gioventù, A., Gironella Gironell, P., Giugliano, C., Giza, M. A., Gizdov, K., Gkougkousis, E. L., Gligorov, V. V., Göbel, C., Golobardes, E., Golubkov, D., Golutvin, A., Gomes, A., Gomez Fernandez, S., Goncalves Abrantes, F., Goncerz, M., Gong, G., Gorelov, I. V., Gotti, C., Grabowski, J. P., Grammatico, T., Granado Cardoso, L. A., Graugés, E., Graverini, E., Graziani, G., Grecu, A. T., Greeven, L. M., Grieser, N. A., Grillo, L., Gromov, S., Gruberg Cazon, B. R., Gu, C., Guarise, M., Guittiere, M., Günther, P. A., Gushchin, E., Guth, A., Guz, Y., Gys, T., Hadavizadeh, T., Hadjivasiliou, C., Haefeli, G., Haen, C., Haimberger, J., Haines, S. C., Halewood-leagas, T., Halvorsen, M. M., Hamilton, P. M., Hammerich, J., Han, Q., Han, X., Hancock, T. H., Hansmann-Menzemer, S., Hao, L., Harnew, N., Harrison, T., Hasse, C., Hatch, M., He, J., Heijhoff, K., Hemmer, F., Henderson, C., Henderson, R. D. L., Hennequin, A. M., Hennessy, K., Henry, L., Herd, J., Heuel, J., Hicheur, A., Hill, D., Hilton, M., Hollitt, S. E., Horswill, J., Hou, R., Hou, Y., Hu, J., Hu, J., Hu, W., Hu, X., Huang, W., Huang, X., Hulsbergen, W., Hunter, R. J., Hushchyn, M., Hutchcroft, D., Ibis, P., Idzik, M., Ilin, D., Ilten, P., Inglessi, A., Iniukhin, A., Ishteev, A., Ivshin, K., Jacobsson, R., Jage, H., Jaimes Elles, S. J., Jakobsen, S., Jans, E., Jashal, B. K., Jawahery, A., Jevtic, V., Jiang, E., Jiang, X., Jiang, Y., John, M., Johnson, D., Jones, C. R., Jones, T. P., Joshi, S., Jost, B., Jurik, N., Juszczak, I., Kandybei, S., Kang, Y., Karacson, M., Karpenkov, D., Karpov, M., Kautz, J. W., Keizer, F., Keller, D. M., Kenzie, M., Ketel, T., Khanji, B., Kharisova, A., Kholodenko, S., Khreich, G., Kirn, T., Kirsebom, V. S., Kitouni, O., Klaver, S., Kleijne, N., Klimaszewski, K., Kmiec, M. R., Koliiev, S., Kolk, L., Kondybayeva, A., Konoplyannikov, A., Kopciewicz, P., Kopecna, R., Koppenburg, P., Korolev, M., Kostiuk, I., Kot, O., Kotriakhova, S., Kozachuk, A., Kravchenko, P., Kravchuk, L., Kreps, M., Kretzschmar, S., Krokovny, P., Krupa, W., Krzemien, W., Kubat, J., Kubis, S., Kucewicz, W., Kucharczyk, M., Kudryavtsev, V., Kulikova, E., Kupsc, A., Lacarrere, D., Lafferty, G., Lai, A., Lampis, A., Lancierini, D., Landesa Gomez, C., Lane, J. J., Lane, R., Langenbruch, C., Langer, J., Lantwin, O., Latham, T., Lazzari, F., Lazzeroni, C., Le Gac, R., Lee, S. H., Lefèvre, R., Leflat, A., Legotin, S., Lenisa, P., Leroy, O., Lesiak, T., Leverington, B., Li, A., Li, H., Li, K., Li, P., Li, P.-R., Li, S., Li, T., Li, T., Li, Y., Li, Z., Liang, X., Lin, C., Lin, T., Lindner, R., Lisovskyi, V., Litvinov, R., Liu, G., Liu, H., Liu, K., Liu, Q., Liu, S., Lobo Salvia, A., Loi, A., Lollini, R., Lomba Castro, J., Longstaff, I., Lopes, J. H., Lopez Huertas, A., López Soliño, S., Lovell, G. H., Lu, Y., Lucarelli, C., Lucchesi, D., Luchuk, S., Lucio Martinez, M., Lukashenko, V., Luo, Y., Lupato, A., Luppi, E., Lusiani, A., Lynch, K., Lyu, X.-R., Ma, R., Maccolini, S., Machefert, F., Maciuc, F., Mackay, I., Macko, V., Madhan Mohan, L. R., Maevskiy, A., Maisuzenko, D., Majewski, M. W., Malczewski, J. J., Malde, S., Malecki, B., Malinin, A., Maltsev, T., Manca, G., Mancinelli, G., Mancuso, C., Manera Escalero, R., Manuzzi, D., Manzari, C. A., Marangotto, D., Marchand, J. F., Marconi, U., Mariani, S., Marin Benito, C., Marks, J., Marshall, A. M., Marshall, P. J., Martelli, G., Martellotti, G., Martinazzoli, L., Martinelli, M., Martinez Santos, D., Martinez Vidal, F., Massafferri, A., Materok, M., Matev, R., Mathad, A., Matiunin, V., Matteuzzi, C., Mattioli, K. R., Mauri, A., Maurice, E., Mauricio, J., Mazurek, M., McCann, M., Mcconnell, L., McGrath, T. H., McHugh, N. T., McNab, A., McNulty, R., Meadows, B., Meier, G., Melnychuk, D., Meloni, S., Merk, M., Merli, A., Meyer Garcia, L., Miao, D., Miao, H., Mikhasenko, M., Milanes, D. A., Millard, E., Milovanovic, M., Minard, M.-N., Minotti, A., Minucci, E., Miralles, T., Mitchell, S. E., Mitreska, B., Mitzel, D. S., Modak, A., Mödden, A., Mohammed, R. A., Moise, R. D., Mokhnenko, S., Mombächer, T., Monk, M., Monroy, I. A., Monteil, S., Morello, G., Morello, M. J., Morgenthaler, M. P., Moron, J., Morris, A. B., Morris, A. G., Mountain, R., Mu, H., Muhammad, E., Muheim, F., Mulder, M., Müller, K., Murphy, C. H., Murray, D., Murta, R., Muzzetto, P., Naik, P., Nakada, T., Nandakumar, R., Nanut, T., Nasteva, I., Needham, M., Neri, N., Neubert, S., Neufeld, N., Neustroev, P., Newcombe, R., Nicolini, J., Nicotra, D., Niel, E. M., Nieswand, S., Nikitin, N., Nolte, N. S., Normand, C., Novoa Fernandez, J., Nowak, G., Nunez, C., Oblakowska-Mucha, A., Obraztsov, V., Oeser, T., Okamura, S., Oldeman, R., Oliva, F., Onderwater, C. J. G., O’Neil, R. H., Otalora Goicochea, J. M., Ovsiannikova, T., Owen, P., Oyanguren, A., Ozcelik, O., Padeken, K. O., Pagare, B., Pais, P. R., Pajero, T., Palano, A., Palutan, M., Panshin, G., Paolucci, L., Papanestis, A., Pappagallo, M., Pappalardo, L. L., Pappenheimer, C., Parker, W., Parkes, C., Passalacqua, B., Passaleva, G., Pastore, A., Patel, M., Patrignani, C., Pawley, C. J., Pellegrino, A., Pepe Altarelli, M., Perazzini, S., Pereima, D., Pereiro Castro, A., Perret, P., Petridis, K., Petrolini, A., Petrucci, S., Petruzzo, M., Pham, H., Philippov, A., Piandani, R., Pica, L., Piccini, M., Pietrzyk, B., Pietrzyk, G., Pili, M., Pinci, D., Pisani, F., Pizzichemi, M., Placinta, V., Plews, J., Plo Casasus, M., Polci, F., Poli Lener, M., Poluektov, A., Polukhina, N., Polyakov, I., Polycarpo, E., Ponce, S., Popov, D., Poslavskii, S., Prasanth, K., Promberger, L., Prouve, C., Pugatch, V., Puill, V., Punzi, G., Qi, H. R., Qian, W., Qin, N., Qu, S., Quagliani, R., Raab, N. V., Rachwal, B., Rademacker, J. H., Rajagopalan, R., Rama, M., Ramos Pernas, M., Rangel, M. S., Ratnikov, F., Raven, G., Rebollo De Miguel, M., Redi, F., Reich, J., Reiss, F., Remon Alepuz, C., Ren, Z., Resmi, P. K., Ribatti, R., Ricci, A. M., Ricciardi, S., Richardson, K., Richardson-Slipper, M., Rinnert, K., Robbe, P., Robertson, G., Rodrigues, E., Rodriguez Fernandez, E., Rodriguez Lopez, J. A., Rodriguez Rodriguez, E., Rolf, D. L., Rollings, A., Roloff, P., Romanovskiy, V., Romero Lamas, M., Romero Vidal, A., Roth, J. D., Rotondo, M., Rudolph, M. S., Ruf, T., Ruiz Fernandez, R. A., Ruiz Vidal, J., Ryzhikov, A., Ryzka, J., Saborido Silva, J. J., Sagidova, N., Sahoo, N., Saitta, B., Salomoni, M., Sanchez Gras, C., Sanderswood, I., Santacesaria, R., Santamarina Rios, C., Santimaria, M., Santovetti, E., Saranin, D., Sarpis, G., Sarpis, M., Sarti, A., Satriano, C., Satta, A., Saur, M., Savrina, D., Sazak, H., Scantlebury Smead, L. G., Scarabotto, A., Schael, S., Scherl, S., Schertz, A. M., Schiller, M., Schindler, H., Schmelling, M., Schmidt, B., Schmitt, S., Schneider, O., Schopper, A., Schubiger, M., Schulte, N., Schulte, S., Schune, M. H., Schwemmer, R., Sciascia, B., Sciuccati, A., Sellam, S., Semennikov, A., Senghi Soares, M., Sergi, A., Serra, N., Sestini, L., Seuthe, A., Shang, Y., Shangase, D. M., Shapkin, M., Shchemerov, I., Shchutska, L., Shears, T., Shekhtman, L., Shen, Z., Sheng, S., Shevchenko, V., Shi, B., Shields, E. B., Shimizu, Y., Shmanin, E., Shorkin, R., Shupperd, J. D., Siddi, B. G., Silva Coutinho, R., Simi, G., Simone, S., Singla, M., Skidmore, N., Skuza, R., Skwarnicki, T., Slater, M. W., Smallwood, J. C., Smeaton, J. G., Smith, E., Smith, K., Smith, M., Snoch, A., Soares Lavra, L., Sokoloff, M. D., Soler, F. J. P., Solomin, A., Solovev, A., Solovyev, I., Song, R., Souza De Almeida, F. L., Souza De Paula, B., Spaan, B., Spadaro Norella, E., Spedicato, E., Speer, J. G., Spiridenkov, E., Spradlin, P., Sriskaran, V., Stagni, F., Stahl, M., Stahl, S., Stanislaus, S., Stein, E. N., Steinkamp, O., Stenyakin, O., Stevens, H., Strekalina, D., Su, Y., Suljik, F., Sun, J., Sun, L., Sun, Y., Swallow, P. N., Swientek, K., Szabelski, A., Szumlak, T., Szymanski, M., Tan, Y., Taneja, S., Tat, M. D., Terentev, A., Teubert, F., Thomas, E., Thompson, D. J. D., Tilquin, H., Tisserand, V., T’Jampens, S., Tobin, M., Tomassetti, L., Tonani, G., Tong, X., Torres Machado, D., Tou, D. Y., Trippl, C., Tuci, G., Tuning, N., Ukleja, A., Unverzagt, D. J., Usachov, A., Ustyuzhanin, A., Uwer, U., Vagnoni, V., Valassi, A., Valenti, G., Valls Canudas, N., Van Dijk, M., Van Hecke, H., van Herwijnen, E., Van Hulse, C. B., van Veghel, M., Vazquez Gomez, R., Vazquez Regueiro, P., Vázquez Sierra, C., Vecchi, S., Velthuis, J. J., Veltri, M., Venkateswaran, A., Veronesi, M., Vesterinen, M., Vieira, D., Vieites Diaz, M., Vilasis-Cardona, X., Vilella Figueras, E., Villa, A., Vincent, P., Volle, F. C., vom Bruch, D., Vorobyev, V., Voropaev, N., Vos, K., Vrahas, C., Walsh, J., Walton, E. J., Wan, G., Wang, C., Wang, G., Wang, J., Wang, J., Wang, J., Wang, J., Wang, M., Wang, R., Wang, X., Wang, Y., Wang, Z., Wang, Z., Wang, Z., Ward, J. A., Watson, N. K., Websdale, D., Wei, Y., Westhenry, B. D. C., White, D. J., Whitehead, M., Wiederhold, A. 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“…No significant signals are observed in the non-resonant <jats:italic>μ</jats:italic><jats:sup>+</jats:sup><jats:italic>μ</jats:italic><jats:sup><jats:italic>−</jats:italic></jats:sup> modes, and upper limits of <jats:inline-formula><jats:alternatives><jats:tex-math>$$ \mathcal{B}\left({B}^0\to {\overline{D}}^0{\mu}^{+}{\mu}^{-}\right)&lt;5.1\times {10}^{-8} $$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>B</mml:mi> <mml:mfenced> <mml:mrow> <mml:msup> <mml:mi>B</mml:mi> <mml:mn>0</mml:mn> </mml:msup> <mml:mo>→</mml:mo> <mml:msup> <mml:mover> <mml:mi>D</mml:mi> <mml:mo>¯</mml:mo> </mml:mover> <mml:mn>0</mml:mn> </mml:msup> <mml:msup> <mml:mi>μ</mml:mi> <mml:mo>+</mml:mo> </mml:msup> <mml:msup> <mml:mi>μ</mml:mi> <mml:mo>−</mml:mo> </mml:msup> </mml:mrow> </mml:mfenced> <mml:mo>&lt;</mml:mo> <mml:mn>5.1</mml:mn> <mml:mo>×</mml:mo> <mml:msup> <mml:mn>10</mml:mn> <mml:mrow> <mml:mo>−</mml:mo> <mml:mn>8</mml:mn> </mml:mrow> </mml:msup> </mml:math></jats:alternatives></jats:inline-formula>, <jats:inline-formula><jats:alternatives><jats:tex-math>$$ \mathcal{B}\left({B}^{+}\to {D}_s^{+}{\mu}^{+}{\mu}^{-}\right)&lt;3.2\times {10}^{-8} $$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>B</mml:mi> <mml:mfenced> <mml:mrow> <mml:msup> <mml:mi>B</mml:mi> <mml:mo>+</mml:mo> </mml:msup> <mml:mo>→</mml:mo> <mml:msubsup> <mml:mi>D</mml:mi> <mml:mi>s</mml:mi> <mml:mo>+</mml:mo> </mml:msubsup> <mml:msup> <mml:mi>μ</mml:mi> <mml:mo>+</mml:mo> </mml:msup> <mml:msup> <mml:mi>μ</mml:mi> <mml:mo>−</mml:mo> </mml:msup> </mml:mrow> </mml:mfenced> <mml:mo>&lt;</mml:mo> <mml:mn>3.2</mml:mn> <mml:mo>×</mml:mo> <mml:msup> <mml:mn>10</mml:mn> <mml:mrow> <mml:mo>−</mml:mo> <mml:mn>8</mml:mn> </mml:mrow> </mml:msup> </mml:math></jats:alternatives></jats:inline-formula>, <jats:inline-formula><jats:alternatives><jats:tex-math>$$ \mathcal{B}\left({B}_s^0\to {\overline{D}}^0{\mu}^{+}{\mu}^{-}\right)&lt;1.6\times {10}^{-7} $$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>B</mml:mi> <mml:mfenced> <mml:mrow> <mml:msubsup> <mml:mi>B</mml:mi> <mml:mi>s</mml:mi> <mml:mn>0</mml:mn> </mml:msubsup> <mml:mo>→</mml:mo> <mml:msup> <mml:mover> <mml:mi>D</mml:mi> <mml:mo>¯</mml:mo> </mml:mover> <mml:mn>0</mml:mn> </mml:msup> <mml:msup> <mml:mi>μ</mml:mi> <mml:mo>+</mml:mo> </mml:msup> <mml:msup> <mml:mi>μ</mml:mi> <mml:mo>−</mml:mo> </mml:msup> </mml:mrow> </mml:mfenced> <mml:mo>&lt;</mml:mo> <mml:mn>1.6</mml:mn> <mml:mo>×</mml:mo> <mml:msup> <mml:mn>10</mml:mn> <mml:mrow> <mml:mo>−</mml:mo> <mml:mn>7</mml:mn> </mml:mrow> </mml:msup> </mml:math></jats:alternatives></jats:inline-formula> and <jats:inline-formula><jats:alternatives><jats:tex-math>$$ {f}_c/{f}_u\cdotp \mathcal{B}\left({B}_c^{+}\to {D}_s^{+}{\mu}^{+}{\mu}^{-}\right)&lt;9.6\times {10}^{-8} $$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>c</mml:mi> </mml:msub> <mml:mo>/</mml:mo> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>u</mml:mi> </mml:msub> <mml:mo>·</mml:mo> <mml:mi>B</mml:mi> <mml:mfenced> <mml:mrow> <mml:msubsup> <mml:mi>B</mml:mi> <mml:mi>c</mml:mi> <mml:mo>+</mml:mo> </mml:msubsup> <mml:mo>→</mml:mo> <mml:msubsup> <mml:mi>D</mml:mi> <mml:mi>s</mml:mi> <mml:mo>+</mml:mo> </mml:msubsup> <mml:msup> <mml:mi>μ</mml:mi> <mml:mo>+</mml:mo> </mml:msup> <mml:msup> <mml:mi>μ</mml:mi> <mml:mo>−</mml:mo> </mml:msup> </mml:mrow> </mml:mfenced> <mml:mo>&lt;</mml:mo> <mml:mn>9.6</mml:mn> <mml:mo>×</mml:mo> <mml:msup> <mml:mn>10</mml:mn> <mml:mrow> <mml:mo>−</mml:mo> <mml:mn>8</mml:mn> </mml:mrow> </mml:msup> </mml:math></jats:alternatives></jats:inline-formula> are set at the 95 % confidence level, where <jats:italic>f</jats:italic><jats:sub><jats:italic>c</jats:italic></jats:sub> and <jats:italic>f</jats:italic><jats:sub><jats:italic>u</jats:italic></jats:sub> are the fragmentation fractions of a <jats:italic>B</jats:italic> meson with a <jats:italic>c</jats:italic> and <jats:italic>u</jats:italic> quark respectively in proton-proton collisions. Each result is either the first such measurement or an improvement by three orders of magnitude on an existing limit. …”
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A Joint Fermi-GBM and Swift-BAT Analysis of Gravitational-wave Candidates from the Third Gravitational-wave Observing Run by Fletcher, C., Wood, J., Hamburg, R., Veres, P., Hui, C. M., Bissaldi, E., Briggs, M. S., Burns, E., Cleveland, W. H., Giles, M. M., Goldstein, A., Hristov, B. A., Kocevski, D., Lesage, S., Mailyan, B., Malacaria, C., Poolakkil, S., von Kienlin, A., Wilson-Hodge, C. A., Crnogorčević, M., DeLaunay, J., Tohuvavohu, A., Caputo, R., Cenko, S. B., Laha, S., Parsotan, T., Abbott, R., Abe, H., Acernese, F., Ackley, K., Adhikari, N., Adhikari, R. X., Adkins, V. K., Adya, V. B., Affeldt, C., Agarwal, D., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., Aiello, L., Ain, A., Ajith, P., Akutsu, T., Albanesi, S., Alfaidi, R. A., Allocca, A., Altin, P. A., Amato, A., Anand, C., Anand, S., Ananyeva, A., Anderson, S. B., Anderson, W. G., Ando, M., Andrade, T., Andres, N., Andrés-Carcasona, M., Andrić, T., Angelova, S. V., Ansoldi, S., Antelis, J. M., Antier, S., Apostolatos, T., Appavuravther, E. Z., Appert, S., Apple, S. K., Arai, K., Araya, A., Araya, M. C., Areeda, J. S., Arène, M., Aritomi, N., Arnaud, N., Arogeti, M., Aronson, S. M., Arun, K. G., Asada, H., Asali, Y., Ashton, G., Aso, Y., Assiduo, M., Assis de Souza Melo, S., Aston, S. M., Astone, P., Aubin, F., AultONeal, K., Austin, C., Babak, S., Badaracco, F., Bader, M. K. M., Badger, C., Bae, S., Bae, Y., Baer, A. M., Bagnasco, S., Bai, Y., Baird, J., Bajpai, R., Baka, T., Ball, M., Ballardin, G., Ballmer, S. W., Balsamo, A., Baltus, G., Banagiri, S., Banerjee, B., Bankar, D., Barayoga, J. C., Barbieri, C., Barish, B. C., Barker, D., Barneo, P., Barone, F., Barr, B., Barsotti, L., Barsuglia, M., Barta, D., Bartlett, J., Barton, M. A., Bartos, I., Basak, S., Bassiri, R., Basti, A., Bawaj, M., Bayley, J. C., Bazzan, M., Becher, B. R., Bécsy, B., Bedakihale, V. M., Beirnaert, F., Bejger, M., Belahcene, I., Benedetto, V., Beniwal, D., Benjamin, M. G., Bennett, T. F., Bentley, J. D., BenYaala, M., Bera, S., Berbel, M., Bergamin, F., Berger, B. K., Bernuzzi, S., Berry, C. P. L., Bersanetti, D., Bertolini, A., Betzwieser, J., Beveridge, D., Bhandare, R., Bhandari, A. V., Bhardwaj, U., Bhatt, R., Bhattacharjee, D., Bhaumik, S., Bianchi, A., Bilenko, I. A., Billingsley, G., Bini, S., Birney, R., Birnholtz, O., Biscans, S., Bischi, M., Biscoveanu, S., Bisht, A., Biswas, B., Bitossi, M., Bizouard, M.-A., Blackburn, J. K., Blair, C. D., Blair, D. G., Blair, R. M., Bobba, F., Bode, N., Boër, M., Bogaert, G., Boldrini, M., Bolingbroke, G. N., Bonavena, L. D., Bondu, F., Bonilla, E., Bonnand, R., Booker, P., Boom, B. A., Bork, R., Boschi, V., Bose, N., Bose, S., Bossilkov, V., Boudart, V., Bouffanais, Y., Bozzi, A., Bradaschia, C., Brady, P. R., Bramley, A., Branch, A., Branchesi, M., Brau, J. E., Breschi, M., Briant, T., Briggs, J. H., Brillet, A., Brinkmann, M., Brockill, P., Brooks, A. F., Brooks, J., Brown, D. D., Brunett, S., Bruno, G., Bruntz, R., Bryant, J., Bucci, F., Bulik, T., Bulten, H. J., Buonanno, A., Burtnyk, K., Buscicchio, R., Buskulic, D., Buy, C., Byer, R. L., Cabourn Davies, G. S., Cabras, G., Cabrita, R., Cadonati, L., Caesar, M., Cagnoli, G., Cahillane, C., Calderón Bustillo, J., Callaghan, J. D., Callister, T. A., Calloni, E., Cameron, J., Camp, J. B., Canepa, M., Canevarolo, S., Cannavacciuolo, M., Cannon, K. C., Cao, H., Cao, Z., Capocasa, E., Capote, E., Carapella, G., Carbognani, F., Carlassara, M., Carlin, J. B., Carney, M. F., Carpinelli, M., Carrillo, G., Carullo, G., Carver, T. L., Casanueva Diaz, J., Casentini, C., Castaldi, G., Caudill, S., Cavaglià, M., Cavalier, F., Cavalieri, R., Cella, G., Cerdá-Durán, P., Cesarini, E., Chaibi, W., Chalathadka Subrahmanya, S., Champion, E., Chan, C.-H., Chan, C., Chan, C. L., Chan, K., Chan, M., Chandra, K., Chang, I. P., Chanial, P., Chao, S., Chapman-Bird, C., Charlton, P., Chase, E. 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“…Using both the Fermi-GBM Targeted Search and the Swift-BAT search, we calculate flux upper limits and present joint upper limits on the gamma-ray luminosity of each GW. Given these limits, we constrain theoretical models for the emission of gamma rays from binary black hole mergers.…”
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