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1. Artificial Intelligence for the Electron Ion Collider (AI4EIC)

Author: Allaire, C, Ammendola, R, Aschenauer, E-C, Balandat, M, Battaglieri, M, Bernauer, J, Bondì, M, Branson, N, Britton, T, Butter, A, Chahrour, I, Chatagnon, P, Cisbani, E, Cline, EW, Dash, S, Dean, C, Deconinck, W, Deshpande, A, Diefenthaler, M, Ent, R, Fanelli, C, Finger, M, Fol, E, Furletov, S, Gao, Y, Giroux, J, Waduge, NC Gunawardhana, Hassan, O, Hegde, PL, Hernández-Pinto, RJ, Blin, A Hiller, Horn, T, Huang, J, Jalotra, A, Jayakodige, D, Joo, B, Junaid, M, Kalantarians, N, Karande, P, Kriesten, B, Elayavalli, R Kunnawalkam, Li, Y, Lin, M, Liu, F, Liuti, S, Matousek, G, McEneaney, M, McSpadden, D, Menzo, T, Miceli, T, Mikuni, V, Montgomery, R, Nachman, B, Nair, RR, Niestroy, J, Oregon, SA Ochoa, Oleniacz, J, Osborn, JD, Paudel, C, Pecar, C, Peng, C, Perdue, GN, Phelps, W, Purschke, ML, Rajendran, H, Rajput, K, Ren, Y, Renteria-Estrada, DF, Richford, D, Roy, BJ, Roy, D, Saini, A, Sato, N, Satogata, T, Sborlini, G, Schram, M, Shih, D, Singh, J, Singh, R, Siodmok, A, Stevens, J, Stone, P, Suarez, L, Suresh, K, Tawfik, A-N, Acosta, F Torales, Tran, N, Trotta, R, Twagirayezu, FJ, Tyson, R, Volkova, S, Vossen, A, Walter, E, Whiteson, D, Williams, M, Wu, S, Zachariou, N, and Zurita, P
Subjects: Information and Computing Sciences, Human-Centred Computing
Abstract: The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.
Published: 2024

2. Artificial Intelligence for the Electron Ion Collider (AI4EIC)

Author: Allaire, C., Ammendola, R., Aschenauer, E. -C., Balandat, M., Battaglieri, M., Bernauer, J., Bondì, M., Branson, N., Britton, T., Butter, A., Chahrour, I., Chatagnon, P., Cisbani, E., Cline, E. W., Dash, S., Dean, C., Deconinck, W., Deshpande, A., Diefenthaler, M., Ent, R., Fanelli, C., Finger, M., Finger, Jr., M., Fol, E., Furletov, S., Gao, Y., Giroux, J., Waduge, N. C. Gunawardhana, Harish, R., Hassan, O., Hegde, P. L., Hernández-Pinto, R. J., Blin, A. Hiller, Horn, T., Huang, J., Jayakodige, D., Joo, B., Junaid, M., Karande, P., Kriesten, B., Elayavalli, R. Kunnawalkam, Lin, M., Liu, F., Liuti, S., Matousek, G., McEneaney, M., McSpadden, D., Menzo, T., Miceli, T., Mikuni, V., Montgomery, R., Nachman, B., Nair, R. R., Niestroy, J., Oregon, S. A. Ochoa, Oleniacz, J., Osborn, J. D., Paudel, C., Pecar, C., Peng, C., Perdue, G. N., Phelps, W., Purschke, M. L., Rajput, K., Ren, Y., Renteria-Estrada, D. F., Richford, D., Roy, B. J., Roy, D., Sato, N., Satogata, T., Sborlini, G., Schram, M., Shih, D., Singh, J., Singh, R., Siodmok, A., Stone, P., Stevens, J., Suarez, L., Suresh, K., Tawfik, A. -N., Acosta, F. Torales, Tran, N., Trotta, R., Twagirayezu, F. J., Tyson, R., Volkova, S., Vossen, A., Walter, E., Whiteson, D., Williams, M., Wu, S., Zachariou, N., and Zurita, P.
Subjects: Physics - Accelerator Physics, Computer Science - Machine Learning, High Energy Physics - Experiment, Nuclear Experiment, Nuclear Theory
Abstract: The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments., Comment: 27 pages, 11 figures, AI4EIC workshop, tutorials and hackathon
Published: 2023

3. Automating the ABCD method with machine learning

Author: Kasieczka, G, Nachman, B, Schwartz, MD, and Shih, D
Abstract: The ABCD method is one of the most widely used data-driven background estimation techniques in high energy physics. Cuts on two statistically independent classifiers separate signal and background into four regions, so that background in the signal region can be estimated simply using the other three control regions. Typically, the independent classifiers are chosen "by hand"to be intuitive and physically motivated variables. Here, we explore the possibility of automating the design of one or both of these classifiers using machine learning. We show how to use state-of-the-art decorrelation methods to construct powerful yet independent discriminators. Along the way, we uncover a previously unappreciated aspect of the ABCD method: its accuracy hinges on having low signal contamination in control regions not just overall, but relative to the signal fraction in the signal region. We demonstrate the method with three examples: a simple model consisting of three-dimensional Gaussians; boosted hadronic top jet tagging; and a recasted search for paired dijet resonances. In all cases, automating the ABCD method with machine learning significantly improves performance in terms of ABCD closure, background rejection, and signal contamination.
Published: 2021

4. The Machine Learning Landscape of Top Taggers

Author: Kasieczka, G., Plehn, T., Butter, A., Cranmer, K., Debnath, D., Dillon, B. M., Fairbairn, M., Faroughy, D. A., Fedorko, W., Gay, C., Gouskos, L., Kamenik, J. F., Komiske, P. T., Leiss, S., Lister, A., Macaluso, S., Metodiev, E. M., Moore, L., Nachman, B., Nordstrom, K., Pearkes, J., Qu, H., Rath, Y., Rieger, M., Shih, D., Thompson, J. M., and Varma, S.
Subjects: High Energy Physics - Phenomenology
Abstract: Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches. Unlike most established methods they rely on low-level input, for instance calorimeter output. While their network architectures are vastly different, their performance is comparatively similar. In general, we find that these new approaches are extremely powerful and great fun., Comment: Yet another tagger included!
Published: 2019
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5. Complete framework for tau polarimetry in B →d (∗)τν decays

Author: Asadi, P, Hallin, A, Martin Camalich, J, Shih, D, and Westhoff, S
Abstract: The meson decays B→Dτν and B→D∗τν are sensitive probes of the b→cτν transition. In this work, we present a complete framework to obtain the maximum information on the physics of B→D(∗)τν with polarized τ leptons and unpolarized D(∗) mesons. Focusing on the hadronic decays τ→πν and τ→ρν, we show how to extract seven τ asymmetries from a fully differential analysis of the final-state kinematics. At Belle II with 50 ab-1 of data, these asymmetries could potentially be measured with percent-level statistical uncertainty. This would open a new window into possible new physics contributions in b→cτν and would allow us to decipher its Lorentz and gauge structure.
Published: 2020

6. DCTRGAN: improving the precision of generative models with reweighting

Author: Diefenbacher, S, Eren, E, Kasieczka, G, Korol, A, Nachman, B, and Shih, D
Subjects: Affordable and Clean Energy, Physical Sciences, Engineering, Nuclear & Particles Physics
Abstract: Significant advances in deep learning have led to more widely used and precise neural network-based generative models such as Generative Adversarial Networks (Gans). We introduce a post-hoc correction to deep generative models to further improve their fidelity, based on the Deep neural networks using the Classification for Tuning and Reweighting (Dctr) protocol. The correction takes the form of a reweighting function that can be applied to generated examples when making predictions from the simulation. We illustrate this approach using Gans trained on standard multimodal probability densities as well as calorimeter simulations from high energy physics. We show that the weighted Gan examples significantly improve the accuracy of the generated samples without a large loss in statistical power. This approach could be applied to any generative model and is a promising refinement method for high energy physics applications and beyond.
Published: 2020

7. Simulation assisted likelihood-free anomaly detection

Author: Andreassen, A, Nachman, B, and Shih, D
Abstract: Given the lack of evidence for new particle discoveries at the Large Hadron Collider (LHC), it is critical to broaden the search program. A variety of model-independent searches have been proposed, adding sensitivity to unexpected signals. There are generally two types of such searches: those that rely heavily on simulations and those that are entirely based on (unlabeled) data. This paper introduces a hybrid method that makes the best of both approaches. For potential signals that are resonant in one known feature, this new method first learns a parametrized reweighting function to morph a given simulation to match the data in sidebands. This function is then interpolated into the signal region, and then the reweighted background-only simulation can be used for supervised learning as well as for background estimation. The background estimation from the reweighted simulation allows for nontrivial correlations between features used for classification and the resonant feature. A dijet search with jet substructure is used to illustrate the new method. Future applications of Simulation Assisted Likelihood-free Anomaly Detection (salad) include a variety of final states and potential combinations with other model-independent approaches.
Published: 2020

8. Anomaly detection with density estimation

Author: Nachman, B and Shih, D
Abstract: We leverage recent breakthroughs in neural density estimation to propose a new unsupervised ANOmaly detection with Density Estimation (ANODE) technique. By estimating the conditional probability density of the data in a signal region and in sidebands, and interpolating the latter into the signal region, a fully data-driven likelihood ratio of data versus background can be constructed. This likelihood ratio is broadly sensitive to overdensities in the data that could be due to localized anomalies. In addition, a unique potential benefit of the ANODE method is that the background can be directly estimated using the learned densities. Finally, ANODE is robust against systematic differences between signal region and sidebands, giving it broader applicability than other methods. We demonstrate the power of this new approach using the LHC Olympics 2020 R&D dataset. We show how ANODE can enhance the significance of a dijet bump hunt by up to a factor of 7 with a 10% accuracy on the background prediction. While the LHC is used as the recurring example, the methods developed here have a much broader applicability to anomaly detection in physics and beyond.
Published: 2020

9. Opportunities in Flavour Physics at the HL-LHC and HE-LHC

Author: Cerri, A., Gligorov, V. V., Malvezzi, S., Camalich, J. Martin, Zupan, J., Akar, S., Alimena, J., Allanach, B. C., Altmannshofer, W., Anderlini, L., Archilli, F., Azzi, P., Banerjee, S., Barter, W., Barton, A. E., Bauer, M., Belyaev, I., Benson, S., Bettler, M., Bhattacharya, R., Bifani, S., Birnkraut, A., Bishara, F., Blake, T., Blusk, S., Boos, E., Borsato, M., Bozzi, C., Bragagnolo, A., Brod, J., Brodzicka, J., Buras, A. J., Cadamuro, L., Carbone, A., Carena, M., Carli, I., Carmona, A., Cavallo, F. R., Celis, A., Cepeda, M., Chahal, G. S., Chala, M., Charles, J., Charles, M., Chen, K. F., Chobanova, V., Chrzaszcz, M., Ciezarek, G., Cirigliano, V., Ciuchini, M., Cliff, H., Cogan, J., Colangelo, G., Contu, A., Covarelli, R., Cowan, G., Crivellin, A., D'Ambrosio, G., D'Onofrio, M., Dang, N. P., Davis, A., Francisco, O. A. De Aguiar, De Bruyn, K., De Sanctis, U., De la Torre, H., Dekens, W., Deliot, F., Della Morte, M., Demers, S., Derkach, D., Deschamps, O., Descotes-Genon, S., Dettori, F., Di Canto, A., Dinardo, M., Dini, P., Dordei, F., Dorigo, M., Reis, A. dos, Dudko, L., Dufour, L., Durieux, G., Dutta, S., Dziurda, A., Eitschberger, U., Esposito, A., Estevez, M., Fajfer, S., Falkowski, A., Faroughy, D. A., Fedi, G., Fiorendi, S., Fiori, F., Fitzpatrick, C., Fleischer, R., Fontana, M., Fox, P. J., Freytsis, M., Gámiz, E., Gabriel, E., Gambino, P., Pardiñas, J. García, Geng, L. S., Gersabeck, E., Gersabeck, M., Gershon, T., Gilbert, A., Gonzalez-Alonso, M., Govoni, P., Graziani, G., Greljo, A., Grillo, L., Grinstein, B., Grohsjean, A., Grossman, Y., Guadagnoli, D., Guo, F. -K., Guzzi, L., Haller, J., Hamilton, B., Han, T., Harnik, R., Hill, D., Hiller, G., Hoepfner, K., Hogan, J. M., Hurth, T., Igonkina, O., Ilten, P., Isidori, G., Jain, Sa., John, M., Johnson, D., Jung, M., Jurik, N., Jäger, S., Kado, M., Kagan, A. L., Kamenik, J. F., Karliner, M., Kenzie, M., Khanji, B., Kieseler, J., Kitahara, T., Klijnsma, T., Knecht, M., Košnik, N., Kogler, R., Koppenburg, P., Korytov, A., Kreps, M., Langenbruch, C., Langenegger, U., Latham, T., Lebed, R. F., Lenz, A. J., Leonardo, N., Leroy, O., Li, Q., Li, T., Ligabue, F., Ligeti, Z., Long, K., Lunghi, E., Mahmoudi, F., Mancinelli, G., Mandrik, P., Mannel, T., Marcano, X., Marchand, J. F., Santos, D. Martínez, Martin, A., Martinelli, M., Vidal, F. Martinez, Marzocca, D., Matias, J., Cuevas, P. Matorras, Matsedonskyi, O., Mauri, A., Mazumdar, K., Merk, M., Meyer, A. B., Michielin, E., Mitselmakher, G., Mittnacht, L., Monteil, S., Morello, M. J., Morgenstern, M., Narain, M., Nardecchia, M., Needham, M., Neri, N., Neubert, M., Neubert, S., Nierste, U., Nieves, J., Nir, Y., Nisati, A., O'Hanlon, D. P., Oset, E., Owen, P., Ozcelik, O., Griso, S. Pagan, Cortezon, E. Palencia, Palla, F., Palutan, M., Pappagallo, M., Parkes, C., Pascoli, S., Passaleva, G., Passemar, E., Patel, M., Pearce, A., Pedro, K., Perazzini, S., Perfilov, M., Perrozzi, L., Pescatore, L., Petersen, B. A., Petrov, A. A., Pich, A., Pilloni, A., Polci, F., Polosa, A. D., Prelovsek, S., Navarro, A. Puig, Punzi, G., Rademacker, J., Rama, M., Reboud, M., Reimers, A., Reznicek, P., Robinson, D. J., Rosner, J. L., Ruiz, R., Saito, S., Sarkar, S., Savin, A., Sawant, S., Schacht, S., Schlaffer, M., Schmidt, A., Schneider, B., Schopper, A., Schune, M. H., Segovia, J., Selvaggi, M., Serra, N., Servant, G., Sestini, L., Shih, D., Coutinho, R. Silva, Silvestrini, L., Skovpen, K., Skwarnicki, T., Smizanska, M., Soni, A., Soreq, Y., Spannowsky, M., Spradlin, P., Stamou, E., Stone, S., Stracka, S., Straub, D. M., Szczepaniak, A. P, T'Jampens, S., Takahashi, Y., Teubert, F., Thomas, E., Tisserand, V., Torre, R., Tresoldi, F., Tsiakkouri, D., Turchikhin, S., Ulmer, K. A., Vagnoni, V., van Dyk, D., van Tilburg, J., Vecchi, S., Venditti, R., Vesterinen, M., Virto, J., Volkov, P., Vorotnikov, G., Vryonidou, E., Walder, J., Walkowiak, W., Wang, J., Wang, W., Weiland, C., Whitehead, M., Wilkinson, G., Williams, J. M., Williams, M. R. J., Wilson, F., Xie, Y., Yang, Z., Yazgan, E., You, T., Yu, F., Zhang, C., Zhang, L., and Zhang, W.
Subjects: High Energy Physics - Phenomenology, High Energy Physics - Experiment
Abstract: Motivated by the success of the flavour physics programme carried out over the last decade at the Large Hadron Collider (LHC), we characterize in detail the physics potential of its High-Luminosity and High-Energy upgrades in this domain of physics. We document the extraordinary breadth of the HL/HE-LHC programme enabled by a putative Upgrade II of the dedicated flavour physics experiment LHCb and the evolution of the established flavour physics role of the ATLAS and CMS general purpose experiments. We connect the dedicated flavour physics programme to studies of the top quark, Higgs boson, and direct high-$p_T$ searches for new particles and force carriers. We discuss the complementarity of their discovery potential for physics beyond the Standard Model, affirming the necessity to fully exploit the LHC's flavour physics potential throughout its upgrade eras., Comment: Report from Working Group 4 on the Physics of the HL-LHC, and Perspectives at the HE-LHC, 292 pages
Published: 2018

10. The Belle II Physics Book

Author: Kou, E, Urquijo, P, Altmannshofer, W, Beaujean, F, Bell, G, Beneke, M, Bigi, II, Bishara, F, Blanke, M, Bobeth, C, Bona, M, Brambilla, N, Braun, VM, Brod, J, Buras, AJ, Cheng, HY, Chiang, CW, Ciuchini, M, Colangelo, G, Crivellin, A, Czyz, H, Datta, A, De Fazio, F, Deppisch, T, Dolan, MJ, Evans, J, Fajfer, S, Feldmann, T, Godfrey, S, Gronau, M, Grossman, Y, Guo, FK, Haisch, U, Hanhart, C, Hashimoto, S, Hirose, S, Hisano, J, Hofer, L, Hoferichter, M, Hou, WS, Huber, T, Hurth, T, Jaeger, S, Jahn, S, Jamin, M, Jones, J, Jung, M, Kagan, AL, Kahlhoefer, F, Kamenik, JF, Kaneko, T, Kiyo, Y, Kokulu, A, Kosnik, N, Kronfeld, AS, Ligeti, Z, Logan, H, Lu, CD, Lubicz, V, Mahmoudi, F, Maltman, K, Mishima, S, Misiak, M, Moats, K, Moussallam, B, Nefediev, A, Nierste, U, Nomura, D, Offen, N, Olsen, SL, Passemar, E, Paul, A, Paz, G, Petrov, AA, Pich, A, Polosa, AD, Pradler, J, Prelovsek, S, Procura, M, Ricciardi, G, Robinson, DJ, Roig, P, Rosiek, J, Schacht, S, Schmidt-Hoberg, K, Schwichtenberg, J, Sharpe, SR, Shigemitsu, J, Shih, D, Shimizu, N, Shimizu, Y, Silvestrini, L, Simula, S, Smith, C, Stoffer, P, Straub, D, Tackmann, FJ, Tanaka, M, Tayduganov, A, and Tetlalmatzi-Xolocotzi, G
Subjects: Mathematical Sciences, Physical Sciences, hep-ex, hep-lat, hep-ph
Abstract: The Belle II detector will provide a major step forward in precision heavy flavor physics, quarkonium and exotic states, searches for dark sectors, and many other areas. The sensitivity to a large number of key observables can be improved by about an order of magnitude compared to the current measurements, and up to two orders in very clean search measurements. This increase in statistical precision arises not only due to the increased luminosity, but also from improved detector efficiency and precision for many channels. Many of the most interesting observables tend to have very small theoretical uncertainties that will therefore not limit the physics reach. This book has presented many new ideas for measurements, both to elucidate the nature of current anomalies seen in flavor, and to search for new phenomena in a plethora of observables that will become accessible with the Belle II dataset. The simulation used for the studiesinthis book was state ofthe artat the time, though weare learning a lot more about the experiment during the commissioning period. The detector is in operation, and working spectacularly well.
Published: 2019

11. Heparin-binding EGF-like growth factor (HB-EGF) antisense oligonucleotide protected against hyperlipidemia-associated atherosclerosis.

Author: Kim, S, Graham, M, Lee, R, Yang, L, Subramanian, V, Layne, J, Cai, L, Temel, R, Shih, D, Lusis, A, Berliner, J, and Lee, S
Subjects: Antisense oligonucleotide, Atherosclerosis, HB-EGF, Hyperlipidemia, Insulin resistance, VLDL, Animals, Aortic Diseases, Atherosclerosis, Biomarkers, Cholesterol, Disease Models, Animal, Down-Regulation, Female, Hep G2 Cells, Heparin-binding EGF-like Growth Factor, Humans, Hyperlipidemias, Insulin Resistance, Lipoproteins, VLDL, Liver, Male, Mice, Knockout, Oligonucleotides, Antisense, Plaque, Atherosclerotic, Receptors, LDL, Triglycerides
Abstract: BACKGROUND AND AIMS: Heparin-binding EGF-like growth factor (HB-EGF) is a representative EGF family member that interacts with EGFR under diverse stress environment. Previously, we reported that the HB-EGF-targeting using antisense oligonucleotide (ASO) effectively suppressed an aortic aneurysm in the vessel wall and circulatory lipid levels. In this study, we further examined the effects of the HB-EGF ASO administration on the development of hyperlipidemia-associated atherosclerosis using an atherogenic mouse model. METHODS AND RESULTS: The male and female LDLR deficient mice under Western diet containing 21% fat and 0.2% cholesterol content were cotreated with control and HB-EGF ASOs for 12 weeks. We observed that the HB-EGF ASO administration effectively downregulated circulatory VLDL- and LDL-associated lipid levels in circulation; concordantly, the HB-EGF targeting effectively suppressed the development of atherosclerosis in the aorta. An EGFR blocker BIBX1382 administration suppressed the hepatic TG secretion rate, suggesting a positive role of the HB-EGF signaling for the hepatic VLDL production. We newly observed that there was a significant improvement of the insulin sensitivity by the HB-EGF ASO administration in a mouse model under the Western diet as demonstrated by the improvement of the glucose and insulin tolerances. CONCLUSION: The HB-EGF ASO administration effectively downregulated circulatory lipid levels by suppressing hepatic VLDL production rate, which leads to effective protection against atherosclerosis in the vascular wall.
Published: 2019

12. Artificial Intelligence for the Electron Ion Collider (AI4EIC)

Author: Allaire, C., Ammendola, R., Aschenauer, E.-C., Balandat, M., Battaglieri, M., Bernauer, J., Bondì, M., Branson, N., Britton, T., Butter, A., Chahrour, I., Chatagnon, P., Cisbani, E., Cline, E. W., Dash, S., Dean, C., Deconinck, W., Deshpande, A., Diefenthaler, M., Ent, R., Fanelli, C., Finger, M., Fol, E., Furletov, S., Gao, Y., Giroux, J., Waduge, N. C. Gunawardhana, Hassan, O., Hegde, P. L., Hernández-Pinto, R. J., Blin, A. Hiller, Horn, T., Huang, J., Jalotra, A., Jayakodige, D., Joo, B., Junaid, M., Kalantarians, N., Karande, P., Kriesten, B., Elayavalli, R. Kunnawalkam, Li, Y., Lin, M., Liu, F., Liuti, S., Matousek, G., McEneaney, M., McSpadden, D., Menzo, T., Miceli, T., Mikuni, V., Montgomery, R., Nachman, B., Nair, R. R., Niestroy, J., Oregon, S. A. Ochoa, Oleniacz, J., Osborn, J. D., Paudel, C., Pecar, C., Peng, C., Perdue, G. N., Phelps, W., Purschke, M. L., Rajendran, H., Rajput, K., Ren, Y., Renteria-Estrada, D. F., Richford, D., Roy, B. J., Roy, D., Saini, A., Sato, N., Satogata, T., Sborlini, G., Schram, M., Shih, D., Singh, J., Singh, R., Siodmok, A., Stevens, J., Stone, P., Suarez, L., Suresh, K., Tawfik, A.-N., Acosta, F. Torales, Tran, N., Trotta, R., Twagirayezu, F. J., Tyson, R., Volkova, S., Vossen, A., Walter, E., Whiteson, D., Williams, M., Wu, S., Zachariou, N., Zurita, P., Allaire, C., Ammendola, R., Aschenauer, E.-C., Balandat, M., Battaglieri, M., Bernauer, J., Bondì, M., Branson, N., Britton, T., Butter, A., Chahrour, I., Chatagnon, P., Cisbani, E., Cline, E. W., Dash, S., Dean, C., Deconinck, W., Deshpande, A., Diefenthaler, M., Ent, R., Fanelli, C., Finger, M., Fol, E., Furletov, S., Gao, Y., Giroux, J., Waduge, N. C. Gunawardhana, Hassan, O., Hegde, P. L., Hernández-Pinto, R. J., Blin, A. Hiller, Horn, T., Huang, J., Jalotra, A., Jayakodige, D., Joo, B., Junaid, M., Kalantarians, N., Karande, P., Kriesten, B., Elayavalli, R. Kunnawalkam, Li, Y., Lin, M., Liu, F., Liuti, S., Matousek, G., McEneaney, M., McSpadden, D., Menzo, T., Miceli, T., Mikuni, V., Montgomery, R., Nachman, B., Nair, R. R., Niestroy, J., Oregon, S. A. Ochoa, Oleniacz, J., Osborn, J. D., Paudel, C., Pecar, C., Peng, C., Perdue, G. N., Phelps, W., Purschke, M. L., Rajendran, H., Rajput, K., Ren, Y., Renteria-Estrada, D. F., Richford, D., Roy, B. J., Roy, D., Saini, A., Sato, N., Satogata, T., Sborlini, G., Schram, M., Shih, D., Singh, J., Singh, R., Siodmok, A., Stevens, J., Stone, P., Suarez, L., Suresh, K., Tawfik, A.-N., Acosta, F. Torales, Tran, N., Trotta, R., Twagirayezu, F. J., Tyson, R., Volkova, S., Vossen, A., Walter, E., Whiteson, D., Williams, M., Wu, S., Zachariou, N., and Zurita, P.
Abstract: The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.
Published: 2024

13. General gauge mediation at the weak scale

Author: Knapen, S, Redigolo, D, and Shih, D
Subjects: Nuclear & Particles Physics, Mathematical Sciences, Physical Sciences, Mathematical Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics
Abstract: We completely characterize General Gauge Mediation (GGM) at the weak scale by solving all IR constraints over the full parameter space. This is made possible through a combination of numerical and analytical methods, based on a set of algebraic relations among the IR soft masses derived from the GGM boundary conditions in the UV. We show how tensions between just a few constraints determine the boundaries of the parameter space: electroweak symmetry breaking (EWSB), the Higgs mass, slepton tachyons, and left-handed stop/sbottom tachyons. While these constraints allow the left-handed squarks to be arbitrarily light, they place strong lower bounds on all of the right-handed squarks. Meanwhile, light EW superpartners are generic throughout much of the parameter space. This is especially the case at lower messenger scales, where a positive threshold correction to mh coming from light Higgsinos and winos is essential in order to satisfy the Higgs mass constraint.
Published: 2016

14. A Note on (Meta)stable Brane Configurations in MQCD

Author: Bena, I., Gorbatov, E., Hellerman, S., Seiberg, N., and Shih, D.
Subjects: High Energy Physics - Theory
Abstract: We examine the M-theory version of SQCD which is known as MQCD. In the IIA limit, this theory appears to have a supersymmetry-breaking brane configuration which corresponds to the meta-stable state of N=1 SU(Nc) SQCD. However, the behavior at infinity of this non-supersymmetric brane construction differs from that of the supersymmetric ground state of MQCD. We interpret this to mean that it is not a meta-stable state in MQCD, but rather a state in another theory. This provides a concrete example of the fact that, while MQCD accurately describes the supersymmetric features of SCQD, it fails to reproduce its non-supersymmetric features (such as meta-stable states) not only quantitatively but also qualitatively., Comment: 30 pages, 7 figures, harvmac. v2 typo corrected
Published: 2006
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15. The Linear Theory Power Spectrum from the Lyman-alpha Forest in the Sloan Digital Sky Survey

Author: McDonald, P., Seljak, U., Cen, R., Shih, D., Weinberg, D. H., Burles, S., Schneider, D. P., Schlegel, D. J., Bahcall, N. A., Briggs, J. W., Brinkmann, J., Fukugita, M., Ivezic, Z., Kent, S., and Berk, D. E. Vanden
Subjects: Astrophysics
Abstract: We analyze the SDSS Ly-alpha forest P_F(k,z) measurement to determine the linear theory power spectrum. Our analysis is based on fully hydrodynamic simulations, extended using hydro-PM simulations. We account for the effect of absorbers with damping wings, which leads to an increase in the slope of the linear power spectrum. We break the degeneracy between the mean level of absorption and the linear power spectrum without significant use of external constraints. We infer linear theory power spectrum amplitude Delta^2_L(k_p=0.009s/km,z_p=3.0)=0.452_{-0.057-0.116}^{+0.069+0.141} and slope n_eff=-2.321_{-0.047-0.102}^{+0.055+0.131} (possible systematic errors are included through nuisance parameters in the fit - a factor >~5 smaller errors would be obtained on both parameters if we ignored modeling uncertainties). The errors are correlated and not perfectly Gaussian, so we provide a chi^2 table to accurately describe the results. The result corresponds to sigma_8=0.85, n=0.94, for a LCDM model with Omega_m=0.3, Omega_b=0.04, and h=0.7, but is most useful in a combined fit with the CMB. The inferred curvature of the linear power spectrum and the evolution of its amplitude and slope with redshift are consistent with expectations for LCDM models, with the evolution of the slope, in particular, being tightly constrained. We use this information to constrain systematic contamination, e.g., fluctuations in the UV background. This paper should serve as a starting point for more work to refine the analysis, including technical improvements such as increasing the size and number of the hydrodynamic simulations, and improvements in the treatment of the various forms of feedback from galaxies and quasars., Comment: Improved presentation, including fit results for (z). Simple code to produce LyaF chi^2 given linear power spectrum available at: http://www.cita.utoronto.ca/~pmcdonal/code.html
Published: 2004
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16. Evidence for an intermediate mass black hole and a multi-zone warm absorber in NGC 4395

Author: Shih, D. C., Iwasawa, K., and Fabian, A. C.
Subjects: Astrophysics
Abstract: We report on the results of an analysis in the X-ray band of a recent long ASCA observation of NGC 4395, the most variable low-luminosity AGN known. A relativistically-broadened iron line at ~6.4 keV is clearly resolved in the time-averaged spectrum, with an equivalent width of 310^{+70}_{-90} eV. Time-resolved spectral analysis of the heavily absorbed soft X-ray band confirms the existence of a variable, multi-zone warm absorber in this source, as proposed in a previous analysis of a shorter ASCA observation. The light curve of the source is wildly variable on timescales of hours or less, and a factor of nearly 10 change in count-rate was recorded in a period of less than 2000 s. The long observation and variability of the source allowed the power density spectrum (PDS) to be constructed to an unprecedented level of detail. There is evidence for a break in the PDS from a slope of \alpha~1 to \alpha~1.8 at a frequency of around 3 \times 10^{-4} Hz. The central black hole mass of NGC 4395 is estimated to be approximately 10^4-10^5 solar masses using the break in the PDS, a result consistent with previous analyses using optical and kinematical techniques., Comment: 8 pages, 6 figures, accepted for publication in MNRAS
Published: 2003
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17. The continuum variability of MCG--6-30-15: A detailed analysis of the long 1999 ASCA observation

Author: Shih, D. C., Iwasawa, K., and Fabian, A. C.
Subjects: Astrophysics
Abstract: We report on an analysis in the 3--10 keV X-ray band of the long 1999 ASCA observation of MCG--6-30-15. The time-averaged broad iron K line is well-described by disk emission near a Schwarzschild black hole, confirming the results of earlier analyses on the ASCA 1994 and 1997 data. The time-resolved iron-line profile is remarkably stable over a factor of three change in source flux, and the line and continuum fluxes are uncorrelated. Detailed fits to the variable iron-line profile suggest that the active region (parametrized by the best-fit inner and outer radii of the accretion disk) responsible for iron line emission actually narrows with increasing flux to a region around 4--5 r_g. In contrast to the iron line, the power-law continuum exhibits significant variability during the 1999 observation. Time-resolved spectral analysis reveals a new feature in the well-known photon index (Gamma) vs. flux correlation: Gamma appears to approach a limiting value of Gamma ~ 2.1 at high flux. Two models are proposed to explain both the new feature in the Gamma vs. flux correlation and the uncorrelated iron-line flux: a phenomenological two power-law model, and the recently proposed ``thundercloud'' model of Merloni & Fabian (2001). Both models are capable of reproducing the data well, but because they are poorly constrained by the observed Gamma vs. flux relation, they cannot at present be tested meaningfully by the data. The various implications and the physical interpretation of these models are discussed., Comment: 10 pages, 8 figures, accepted for publication in MNRAS
Published: 2002
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18. Simplified models for LHC new physics searches

Author: Alves, D, Arkani-Hamed, N, Arora, S, Bai, Y, Baumgart, M, Berger, J, Buckley, M, Butler, B, Chang, S, Cheng, HC, Cheung, C, Chivukula, RS, Cho, WS, Cotta, R, Dalfonso, M, Hedri, SE, Essig, R, Evans, JA, Fitzpatrick, L, Fox, P, Franceschini, R, Freitas, A, Gainer, JS, Gershtein, Y, Gray, R, Gregoire, T, Gripaios, B, Gunion, J, Han, T, Haas, A, Hansson, P, Hewett, J, Hits, D, Hubisz, J, Izaguirre, E, Kaplan, J, Katz, E, Kilic, C, Kim, HD, Kitano, R, Koay, SA, Ko, P, Krohn, D, Kuflik, E, Lewis, I, Lisanti, M, Liu, T, Liu, Z, Lu, R, Luty, M, Meade, P, Morrissey, D, Mrenna, S, Nojiri, M, Okui, T, Padhi, S, Papucci, M, Park, M, Perelstein, M, Peskin, M, Phalen, D, Rehermann, K, Rentala, V, Roy, T, Ruderman, JT, Sanz, V, Schmaltz, M, Schnetzer, S, Schuster, P, Schwaller, P, Schwartz, MD, Schwartzman, A, Shao, J, Shelton, J, Shih, D, Shu, J, Silverstein, D, Simmons, E, Somalwar, S, Spannowsky, M, Spethmann, C, Strassler, M, Su, S, Tait, T, Thomas, B, Thomas, S, Toro, N, Volansky, T, Wacker, J, Waltenberger, W, Yavin, I, Yu, F, Zhao, Y, and Zurek, K
Subjects: hep-ph, hep-ex, Nuclear & Particles Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics
Abstract: This document proposes a collection of simplified models relevant to the design of new-physics searches at the Large Hadron Collider (LHC) and the characterization of their results. Both ATLAS and CMS have already presented some results in terms of simplified models, and we encourage them to continue and expand this effort, which supplements both signature-based results and benchmark model interpretations. A simplified model is defined by an effective Lagrangian describing the interactions of a small number of new particles. Simplified models can equally well be described by a small number of masses and cross-sections. These parameters are directly related to collider physics observables, making simplified models a particularly effective framework for evaluating searches and a useful starting point for characterizing positive signals of new physics. This document serves as an official summary of the results from the Topologies for Early LHC Searches workshop, held at SLAC in September of 2010, the purpose of which was to develop a set of representative models that can be used to cover all relevant phase space in experimental searches. Particular emphasis is placed on searches relevant for the first 50-500 pb 1 of data and those motivated by supersymmetric models. This note largely summarizes material posted at http://lhcnewphysics.org/, which includes simplified model definitions, Monte Carlo material, and supporting contacts within the theory community. We also comment on future developments that may be useful as more data is gathered and analyzed by the experiments. © 2012 IOP Publishing Ltd.
Published: 2012

19. Machine learning and LHC event generation

Author: Butter, A., Plehn, T., Schumann, S., Badger, S., Caron, S., Cranmer, K., Di Bello, F.A., Dreyer, E., Forte, S., Ganguly, S., Gonçalves, D., Gross, E., Heimel, T., Heinrich, G., Heinrich, L., Held, A., Höche, S., Howard, J.N., Ilten, P., Isaacson, J., Janßen, T., Jones, S, Kado, M., Kagan, M., Kasieczka, G., Kling, F., Kraml, S., Krause, C., Krauss, F., Kröninger, K., Barman, R.K., Luchmann, M., Magerya, V., Maitre, D., Malaescu, B., Maltoni, F., Martini, T., Mattelaer, O., Nachman, B., Pitz, S., Rojo, J., Schwartz, M., Shih, D., Siegert, F., Stegeman, R., Stienen, B.P.J., Thaler, J., Verheyen, Rob, Whiteson, D., Winterhalder, R., Zupan, J., Butter, A., Plehn, T., Schumann, S., Badger, S., Caron, S., Cranmer, K., Di Bello, F.A., Dreyer, E., Forte, S., Ganguly, S., Gonçalves, D., Gross, E., Heimel, T., Heinrich, G., Heinrich, L., Held, A., Höche, S., Howard, J.N., Ilten, P., Isaacson, J., Janßen, T., Jones, S, Kado, M., Kagan, M., Kasieczka, G., Kling, F., Kraml, S., Krause, C., Krauss, F., Kröninger, K., Barman, R.K., Luchmann, M., Magerya, V., Maitre, D., Malaescu, B., Maltoni, F., Martini, T., Mattelaer, O., Nachman, B., Pitz, S., Rojo, J., Schwartz, M., Shih, D., Siegert, F., Stegeman, R., Stienen, B.P.J., Thaler, J., Verheyen, Rob, Whiteson, D., Winterhalder, R., and Zupan, J.
Abstract: Contains fulltext : 292775.pdf (Publisher’s version ) (Open Access)
Published: 2023

20. Anomaly detection under coordinate transformations

Author: Kasieczka, G, Kasieczka, G, Mastandrea, R, Mikuni, V, Nachman, B, Pettee, M, Shih, D, Kasieczka, G, Kasieczka, G, Mastandrea, R, Mikuni, V, Nachman, B, Pettee, M, and Shih, D
Abstract: There is a growing need for machine-learning-based anomaly detection strategies to broaden the search for beyond-the-Standard-Model physics at the Large Hadron Collider (LHC) and elsewhere. The first step of any anomaly detection approach is to specify observables and then use them to decide on a set of anomalous events. One common choice is to select events that have low probability density. It is a well-known fact that probability densities are not invariant under coordinate transformations, so the sensitivity can depend on the initial choice of coordinates. The broader machine learning community has recently connected coordinate sensitivity with anomaly detection and our goal is to bring awareness of this issue to the growing high-energy physics literature on anomaly detection. In addition to analytical explanations, we provide numerical examples from simple random variables and from the LHC Olympics dataset that show how using probability density as an anomaly score can lead to events being classified as anomalous or not depending on the coordinate frame.
Published: 2023

21. Cathelicidin suppresses lipid accumulation and hepatic steatosis by inhibition of the CD36 receptor

Author: Hoang-Yen Tran, D, Hoang-Ngoc Tran, D, Mattai, S A, Sallam, T, Ortiz, C, Lee, E C, Robbins, L, Ho, S, Lee, J E, Fisseha, E, Shieh, C, Sideri, A, Shih, D Q, Fleshner, P, McGovern, D P B, Vu, M, Hing, T C, Bakirtzi, K, Cheng, M, Su, B, Law, I, Karagiannides, I, Targan, S R, Gallo, R L, Li, Z, and Koon, H W
Published: 2016
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22. Machine learning in the search for new fundamental physics

Author: Karagiorgi, G, Karagiorgi, G, Kasieczka, G, Kravitz, S, Nachman, B, Shih, D, Karagiorgi, G, Karagiorgi, G, Kasieczka, G, Kravitz, S, Nachman, B, and Shih, D
Abstract: Compelling experimental evidence suggests the existence of new physics beyond the well-established and tested standard model of particle physics. Various current and upcoming experiments are searching for signatures of new physics. Despite the variety of approaches and theoretical models tested in these experiments, what they all have in common is the very large volume of complex data that they produce. This data challenge calls for powerful statistical methods. Machine learning has been in use in high-energy particle physics for well over a decade, but the rise of deep learning in the early 2010s has yielded a qualitative shift in terms of the scope and ambition of research. These modern machine learning developments are the focus of the present Review, which discusses methods and applications for new physics searches in the context of terrestrial high-energy physics experiments, including the Large Hadron Collider, rare event searches and neutrino experiments.
Published: 2022

23. 59 Comparative Analysis of Emergency Department Utilization Patterns During the COVID-19 International Pandemic: Frequent Users vs General Population

Author: Shih, D., Hawatian, K., Page, B., Rammal, J.-A., Miller, J., Klausner, H., and Stokes-Buzzelli, S.
Published: 2024
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24. 33 Forecasting Daily Patient Arrivals during COVID-19 in Emergency Departments: A Deep Learning Approach

Author: Etu, E.-E., primary, Monplaisir, L., additional, Aguwa, C., additional, Arslanturk, S., additional, Masoud, S., additional, Krupp, S., additional, Shih, D., additional, and Miller, J., additional
Published: 2021
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25. Atg16L1 deficiency in macrophages lead to worsened murine colitis: PO-181

Author: Zhang, H., Zheng, L. B., Shih, D. Q., and Zhang, X. L.
Published: 2015

26. Translation of Brome Mosaic Viral Ribonucleic Acid in a Cell-Free System Derived from Wheat Embryo

Author: Shih, D. S. and Kaesberg, Paul
Published: 1973

27. Trimethylamine N-oxide levels are associated with NASH in obese subjects with type 2 diabetes.

Author: León-Mimila, P, León-Mimila, P, Villamil-Ramírez, H, Li, X, Shih, D, Hui, S, Ocampo-Medina, E, López-Contreras, B, Morán-Ramos, S, Olivares-Arevalo, M, Grandini-Rosales, P, Macías-Kauffer, L, González-González, I, Hernández-Pando, R, Gómez-Pérez, F, Campos-Pérez, F, Aguilar-Salinas, C, Larrieta-Carrasco, E, Villarreal-Molina, T, Wang, Z, Lusis, A, Hazen, S, Huertas-Vazquez, A, Canizales-Quinteros, S, León-Mimila, P, León-Mimila, P, Villamil-Ramírez, H, Li, X, Shih, D, Hui, S, Ocampo-Medina, E, López-Contreras, B, Morán-Ramos, S, Olivares-Arevalo, M, Grandini-Rosales, P, Macías-Kauffer, L, González-González, I, Hernández-Pando, R, Gómez-Pérez, F, Campos-Pérez, F, Aguilar-Salinas, C, Larrieta-Carrasco, E, Villarreal-Molina, T, Wang, Z, Lusis, A, Hazen, S, Huertas-Vazquez, A, and Canizales-Quinteros, S
Abstract: AIMS: Trimethylamine N-oxide (TMAO), choline and betaine serum levels have been associated with metabolic diseases including type 2 diabetes (T2D) and non-alcoholic fatty liver disease (NAFLD). These associations could be mediated by insulin resistance. However, the relationships among these metabolites, insulin resistance and NAFLD have not been thoroughly investigated. Moreover, it has recently been suggested that TMAO could play a role in NAFLD by altering bile acid metabolism. We examined the association between circulating TMAO, choline and betaine levels and NAFLD in obese subjects. METHODS: Serum TMAO, choline, betaine and bile acid levels were measured in 357 Mexican obese patients with different grades of NAFLD as determined by liver histology. Associations of NAFLD with TMAO, choline and betaine levels were tested. Moreover, association of TMAO levels with non-alcoholic steatohepatitis (NASH) was tested separately in patients with and without T2D. RESULTS: TMAO and choline levels were significantly associated with NAFLD histologic features and NASH risk. While increased serum TMAO levels were significantly associated with NASH in patients with T2D, in non-T2D subjects this association lost significance after adjusting for sex, BMI and HOMA2-IR. Moreover, circulating secondary bile acids were associated both with increased TMAO levels and NASH. CONCLUSIONS: In obese patients, circulating TMAO levels were associated with NASH mainly in the presence of T2D. Functional studies are required to evaluate the role of insulin resistance and T2D in this association, both highly prevalent in NASH patients.
Published: 2021

28. Epigenomic alterations define lethal CIMP-positive ependymomas of infancy

Author: Mack, S. C., Witt, H., Piro, R. M., Gu, L., Zuyderduyn, S., Stütz, A. M., Wang, X., Gallo, M., Garzia, L., Zayne, K., Zhang, X., Ramaswamy, V., Jäger, N., Jones, D. T. W., Sill, M., Pugh, T. J., Ryzhova, M., Wani, K. M., Shih, D. J. H., Head, R., Remke, M., Bailey, S. D., Zichner, T., Faria, C. C., Barszczyk, M., Stark, S., Seker-Cin, H., Hutter, S., Johann, P., Bender, S., Hovestadt, V., Tzaridis, T., Dubuc, A. M., Northcott, P. A., Peacock, J., Bertrand, K. C., Agnihotri, S., Cavalli, F. M. G., Clarke, I., Nethery-Brokx, K., Creasy, C. L., Verma, S. K., Koster, J., Wu, X., Yao, Y., Milde, T., Sin-Chan, P., Zuccaro, J., Lau, L., Pereira, S., Castelo-Branco, P., Hirst, M., Marra, M. A., Roberts, S. S., Fults, D., Massimi, L., Cho, Y. J., Van Meter, T., Grajkowska, W., Lach, B., Kulozik, A. E., von Deimling, A., Witt, O., Scherer, S. W., Fan, X., Muraszko, K. M., Kool, M., Pomeroy, S. L., Gupta, N., Phillips, J., Huang, A., Tabori, U., Hawkins, C., Malkin, D., Kongkham, P. N., Weiss, W. A., Jabado, N., Rutka, J. T., Bouffet, E., Korbel, J. O., Lupien, M., Aldape, K. D., Bader, G. D., Eils, R., Lichter, P., Dirks, P. B., Pfister, S. M., Korshunov, A., and Taylor, M. D.
Published: 2014
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29. Development of automatic regrinding program for PC-based tool grinding machine

Author: Wang, Y. C., Lee, B. Y., Lin, J. C., Jywe, W. Y., and Shih, D. K.
Published: 2007
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30. Erratum: The Belle II Physics Book (Progress of Theoretical and Experimental Physics (2019) 2019 (123C01) DOI: 10.1093/ptep/ptz106)

Author: Belle 2 Collaboration, Kou, E., Urquijo, P., Altmannshofer, W., Beaujean, F., Bell, G., Beneke, M., Bigi, I. I., Bishara, F., Blanke, M., Bobeth, C., Bona, M., Brambilla, N., Braun, V. M., Brod, J., Buras, A. J., Cheng, H. Y., Chiang, C. W., Ciuchini, M., Colangelo, G., Crivellin, A., Czyz, H., Datta, A., De Fazio, F., Deppisch, T., Dolan, M. J., Evans, J., Fajfer, S., Feldmann, T., Godfrey, S., Gronau, M., Grossman, Y., Guo, F. K., Haisch, U., Hanhart, C., Hashimoto, S., Hirose, S., Hisano, J., Hofer, L., Hoferichter, M., Hou, W. S., Huber, T., Hurth, T., Jaeger, S., Jahn, S., Jamin, M., Jones, J., Jung, M., Kagan, A. L., Kahlhoefer, F., Kamenik, J. F., Kaneko, T., Kiyo, Y., Kokulu, A., Kosnik, N., Kronfeld, A. S., Ligeti, Z., Logan, H., Lu, C. D., Lubicz, V., Mahmoudi, F., Maltman, K., Mishima, S., Misiak, M., Moats, K., Moussallam, B., Nefediev, A., Nierste, U., Nomura, D., Offen, N., Olsen, S. L., Passemar, E., Paul, A., Paz, G., Petrov, A. A., Pich, A., Polosa, A. D., Pradler, J., Prelovsek, S., Procura, M., Ricciardi, G., Robinson, D. J., Roig, P., Rosiek, J., Schacht, S., Schmidt-Hoberg, K., Schwichtenberg, J., Sharpe, S. R., Shigemitsu, J., Shih, D., Shimizu, N., Shimizu, Y., Silvestrini, L., Simula, S., Smith, C., Stoffer, P., Straub, D., Tackmann, F. J., Tanaka, M., Tayduganov, A., Tetlalmatzi-Xolocotzi, G., Teubner, T., Vairo, A., Dyk, D. van, Virto, J., Was, Z., Watanabe, R., Watson, I., Westhoff, S., Zupan, J., Zwicky, R., Abudinén, F., Adachi, I., Adamczyk, K., Ahlburg, P., Aihara, H., Aloisio, A., Andricek, L., Anh Ky, N., Arndt, M., Asner, D. M., Atmacan, H., Aushev, T., Aushev, V., Ayad, R., Aziz, T., Baehr, S., Bahinipati, S., Bambade, P., Ban, Y., Barrett, M., Baudot, J., Behera, P., Belous, K., Bender, M., Bennett, J., Berger, M., Bernieri, E., Bernlochner, F. U., Bessner, M., Besson, D., Bettarini, S., Bhardwaj, V., Bhuyan, B., Bilka, T., Bilmis, S., Bilokin, S., Bonvicini, G., Bozek, A., Bračko, M., Branchini, P., Braun, N., Briere, R. A., Browder, T. E., Burmistrov, L., Bussino, S., Cao, L., Caria, G., Casarosa, G., Cecchi, C., Červenkov, D., Chang, M-C., Chang, P., Cheaib, R., Chekelian, V., Chen, Y., Cheon, B. G., Chilikin, K., Cho, K., Choi, J., Choi, S-K., Choudhury, S., Cinabro, D., Cremaldi, L. M., Cuesta, D., Cunliffe, S., Dash, N., Cruz Burelo, E. de la, Lucia, E. de, De Nardo, G., De Nuccio, M., De Pietro, G., De Yta Hernandez, A., Deschamps, B., Destefanis, M., Dey, S., Di Capua, F., Di Carlo, S., Dingfelder, J., Doležal, Z., Domínguez Jiménez, I., Dong, T. V., Dossett, D., Duell, S., Eidelman, S., Epifanov, D., Fast, J. E., Ferber, T., Fiore, S., Fodor, A., Forti, F., Frey, A., Frost, O., Fulsom, B. G., Gabriel, M., Gabyshev, N., Ganiev, E., Gao, X., Gao, B., Garg, R., Garmash, A., Gaur, V., Gaz, A., Geßler, T., Gebauer, U., Gelb, M., Gellrich, A., Getzkow, D., Giordano, R., Giri, A., Glazov, A., Gobbo, B., Godang, R., Gogota, O., Goldenzweig, P., Golob, B., Gradl, W., Graziani, E., Greco, M., Greenwald, D., Gribanov, S., Guan, Y., Guido, E., Guo, A., Halder, S., Hara, K., Hartbrich, O., Hauth, T., Hayasaka, K., Hayashii, H., Hearty, C., Heredia De La Cruz, I., Hernandez Villanueva, M., Hershenhorn, A., Higuchi, T., Hoek, M., Hollitt, S., Hong Van, N. T., Hsu, C-L., Hu, Y., Huang, K., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, Y., Iwasaki, M., Jackson, P., Jacobs, W. W., Jaegle, I., Jeon, H. B., Ji, X., Jia, S., Jin, Y., Joo, C., Künzel, M., Kadenko, I., Kahn, J., Kakuno, H., Kaliyar, A. B., Kandra, J., Kang, K. H., Kato, Y., Kawasaki, T., Ketter, C., Khasmidatul, M., Kichimi, H., Kim, J. B., Kim, K. T., Kim, H. J., Kim, D. Y., Kim, K., Kim, Y., Kimmel, T. D., Kindo, H., Kinoshita, K., Konno, T., Korobov, A., Korpar, S., Kotchetkov, D., Kowalewski, R., Križan, P., Kroeger, R., Krohn, J-F., Krokovny, P., Kuehn, W., Kuhr, T., Kulasiri, R., Kumar, M., Kumar, R., Kumita, T., Kuzmin, A., Kwon, Y-J., Lacaprara, S., Lai, Y-T., Lalwani, K., Lange, J. S., Lee, S. C., Lee, J. Y., Leitl, P., Levit, D., Levonian, S., Li, S., Li, L. K., Li, Y., Li, Y. B., Li, Q., Li Gioi, L., Libby, J., Liptak, Z., Liventsev, D., Longo, S., Loos, A., Lopez Castro, G., Lubej, M., Lueck, T., Luetticke, F., Luo, T., Müller, F., Müller, Th, MacQueen, C., Maeda, Y., Maggiora, M., Maity, S., Manoni, E., Marcello, S., Marinas, C., Martinez Hernandez, M., Martini, A., Matvienko, D., McKenna, J. A., Meier, F., Merola, M., Metzner, F., Miller, C., Miyabayashi, K., Miyake, H., Miyata, H., Mizuk, R., Mohanty, G. B., Moon, H. K., Moon, T., Morda, A., Morii, T., Mrvar, M., Muroyama, G., Mussa, R., Nakamura, I., Nakano, T., Nakao, M., Nakayama, H., Nakazawa, H., Nanut, T., Naruki, M., Nath, K. J., Nayak, M., Nellikunnummel, N., Neverov, D., Niebuhr, C., Ninkovic, J., Nishida, S., Nishimura, K., Nouxman, M., Nowak, G., Ogawa, K., Onishchuk, Y., Ono, H., Onuki, Y., Pakhlov, P., Pakhlova, G., Pal, B., Paoloni, E., Park, H., Park, C-S., Paschen, B., Passeri, A., Paul, S., Pedlar, T. K., Perelló, M., Peruzzi, I. M., Pestotnik, R., Piilonen, L. E., Podesta Lerma, L., Popov, V., Prasanth, K., Prencipe, E., Prim, M., Purohit, M. V., Rabusov, A., Rasheed, R., Reiter, S., Remnev, M., Resmi, P. K., Ripp-Baudot, I., Ritter, M., Ritzert, M., Rizzo, G., Rizzuto, L., Robertson, S. H., Rodriguez Perez, D., Roney, J. M., Rosenfeld, C., Rostomyan, A., Rout, N., Rummel, S., Russo, G., Sahoo, D., Sakai, Y., Salehi, M., Sanders, D. A., Sandilya, S., Sangal, A., Santelj, L., Sasaki, J., Sato, Y., Savinov, V., Scavino, B., Schram, M., Schreeck, H., Schueler, J., Schwanda, C., Schwartz, A. J., Seddon, R. M., Seino, Y., Senyo, K., Seon, O., Seong, I. S., Sevior, M. E., Sfienti, C., Shapkin, M., Shen, C. P., Shimomura, M., Shiu, J-G., Shwartz, B., Sibidanov, A., Simon, F., Singh, J. B., Sinha, R., Skambraks, S., Smith, K., Sobie, R. J., Soffer, A., Sokolov, A., Solovieva, E., Spruck, B., Stanič, S., Starič, M., Starinsky, N., Stolzenberg, U., Stottler, Z., Stroili, R., Strube, J. F., Stypula, J., Sumihama, M., Sumisawa, K., Sumiyoshi, T., Summers, D., Sutcliffe, W., Suzuki, S. Y., Tabata, M., Takahashi, M., Takizawa, M., Tamponi, U., Tan, J., Tanaka, S., Tanida, K., Taniguchi, N., Tao, Y., Taras, P., Tejeda Munoz, G., Tenchini, F., Tippawan, U., Torassa, E., Trabelsi, K., Tsuboyama, T., Uchida, M., Uehara, S., Uglov, T., Unno, Y., Uno, S., Ushiroda, Y., Usov, Y., Vahsen, S. E., Tonder, R. van, Varner, G., Varvell, K. E., Vinokurova, A., Vitale, L., Vos, M., Vossen, A., Waheed, E., Wakeling, H., Wan, K., Wang, M-Z., Wang, X. L., Wang, B., Warburton, A., Webb, J., Wehle, S., Wessel, C., Wiechczynski, J., Wieduwilt, P., Won, E., Xu, Q., Xu, X., Yabsley, B. D., Yamada, S., Yamamoto, H., Yan, W., Yang, S. B., Ye, H., Yeo, I., Yin, J. H., Yonenaga, M., Yoshinobu, T., Yuan, W., Yuan, C. Z., Yusa, Y., Zakharov, S., Zani, L., Zeyrek, M., Zhang, J., Zhang, Y., Zhou, X., Zhukova, V., Zhulanov, V., and Zupanc, A.
Subjects: Physics, ddc:530
Published: 2020

31. Uncertainty and importance assessment using differential analysis: an illustration of corrosion depth of spent nuclear fuel canister

Author: Shih, D. C.-F. and Lin, G.-F.
Published: 2006
Full Text: View/download PDF

32. Erratum: The Belle II Physics Book (Progress of Theoretical and Experimental Physics (2019) 2019 (123C01) DOI: 10.1093/ptep/ptz106)

Author: Kou, E. (E.), Urquijo, P. (P.), Altmannshofer, W. (W.), Beaujean, F. (F.), Bell, G. (G.), Beneke, M. (M.), Bigi, I.I. (I. I.), Bishara, F. (F.), Blanke, M. (M.), Bobeth, C. (C.), Bona, M. (M.), Brambilla, N. (N.), Braun, V.M. (V. M.), Brod, J. (J.), Buras, A.J. (A. J.), Cheng, H.Y. (H. Y.), Chiang, C.W. (C. W.), Ciuchini, M. (M.), Colangelo, G. (G.), Crivellin, A. (A.), Czyz, H. (H.), Datta, A. (A.), De Fazio, F. (F.), Deppisch, T. (T.), Dolan, M.J. (M. J.), Evans, J. (J.), Fajfer, S. (S.), Feldmann, T. (T.), Godfrey, S. (S.), Gronau, M. (M.), Grossman, Y. (Y.), Guo, F.K. (F. K.), Haisch, U. (U.), Hanhart, C. (C.), Hashimoto, S. (S.), Hirose, S. (S.), Hisano, J. (J.), Hofer, L. (L.), Hoferichter, M. (M.), Hou, W.S. (W. S.), Huber, T. (T.), Hurth, T. (T.), Jaeger, S. (S.), Jahn, S. (S.), Jamin, M. (M.), Jones, J. (J.), Jung, M. (M.), Kagan, A.L. (A. L.), Kahlhoefer, F. (F.), Kamenik, J.F. (J. F.), Kaneko, T. (T.), Kiyo, Y. (Y.), Kokulu, A. (A.), Kosnik, N. (N.), Kronfeld, A.S. (A. S.), Ligeti, Z. (Z.), Logan, H. (H.), Lu, C.D. (C. D.), Lubicz, V. (V.), Mahmoudi, F. (F.), Maltman, K. (K.), Mishima, S. (S.), Misiak, M. (M.), Moats, K. (K.), Moussallam, B. (B.), Nefediev, A. (A.), Nierste, U. (U.), Nomura, D. (D.), Offen, N. (N.), Olsen, S.L. (S. L.), Passemar, E. (E.), Paul, A. (A.), Paz, G. (G.), Petrov, A.A. (A. A.), Pich, A. (A.), Polosa, A.D. (A. D.), Pradler, J. (J.), Prelovsek, S. (S.), Procura, M. (M.), Ricciardi, G. (G.), Robinson, D.J. (D. J.), Roig, P. (P.), Rosiek, J. (J.), Schacht, S. (S.), Schmidt-Hoberg, K. (K.), Schwichtenberg, J. (J.), Sharpe, S.R. (S. R.), Shigemitsu, J. (J.), Shih, D. (D.), Shimizu, N. (N.), Shimizu, Y. (Y.), Silvestrini, L. (L.), Simula, S. (S.), Smith, C. (C.), Stoffer, P. (P.), Straub, D. (D.), Tackmann, F.J. (F. J.), Tanaka, M. (M.), Tayduganov, A. (A.), Tetlalmatzi-Xolocotzi, G. (G.), Teubner, T. (T.), Vairo, A. (A.), Van Dyk, D. (D.), Virto, J. (J.), Was, Z. (Z.), Watanabe, R. (R.), Watson, I. (I.), Westhoff, S. (S.), Zupan, J. (J.), Zwicky, R. (R.), Abudinén, F. (F.), Adachi, I. (I.), Adamczyk, K. (K.), Ahlburg, P. (P.), Aihara, H. (H.), Aloisio, A. (A.), Andricek, L. (L.), Anh Ky, N. (N.), Arndt, M. (M.), Asner, D.M. (D. M.), Atmacan, H. (H.), Aushev, T. (T.), Aushev, V. (V.), Ayad, R. (R.), Aziz, T. (T.), Baehr, S. (S.), Bahinipati, S. (S.), Bambade, P. (P.), Ban, Y. (Y.), Barrett, M. (M.), Baudot, J. (J.), Behera, P. (P.), Belous, K. (K.), Bender, M. (M.), Bennett, J. (J.), Berger, M. (M.), Bernieri, E. (E.), Bernlochner, F.U. (F. U.), Bessner, M. (M.), Besson, D. (D.), Bettarini, S. (S.), Bhardwaj, V. (V.), Bhuyan, B. (B.), Bilka, T. (T.), Bilmis, S. (S.), Bilokin, S. (S.), Bonvicini, G. (G.), Bozek, A. (A.), Bračko, M. (M.), Branchini, P. (P.), Braun, N. (N.), Briere, R.A. (R. A.), Browder, T.E. (T. E.), Burmistrov, L. (L.), Bussino, S. (S.), Cao, L. (L.), Caria, G. (G.), Casarosa, G. (G.), Cecchi, C. (C.), Červenkov, D. (D.), Chang, M.-C. (M. C.), Chang, P. (P.), Cheaib, R. (R.), Chekelian, V. (V.), Chen, Y. (Y.), Cheon, B.G. (B. G.), Chilikin, K. (K.), Cho, K. (K.), Choi, J. (J.), Choi, S.-K. (S. K.), Choudhury, S. (S.), Cinabro, D. (D.), Cremaldi, L.M. (L. M.), Cuesta, D. (D.), Cunliffe, S. (S.), Dash, N. (N.), De La Cruz Burelo, E. (E.), De Lucia, E. (E.), De Nardo, G. (G.), De Nuccio, M. (M.), De Pietro, G. (G.), De Yta Hernandez, A. (A.), Deschamps, B. (B.), Destefanis, M. (M.), Dey, S. (S.), Di Capua, F. (F.), Di Carlo, S. (S.), Dingfelder, J. (J.), Doležal, Z. (Z.), Domínguez Jiménez, I. (I.), Dong, T.V. (T. V.), Dossett, D. (D.), Duell, S. (S.), Eidelman, S. (S.), Epifanov, D. (D.), Fast, J.E. (J. E.), Ferber, T. (T.), Fiore, S. (S.), Fodor, A. (A.), Forti, F. (F.), Frey, A. (A.), Frost, O. (O.), Fulsom, B.G. (B. G.), Gabriel, M. (M.), Gabyshev, N. (N.), Ganiev, E. (E.), Gao, X. (X.), Gao, B. (B.), Garg, R. (R.), Garmash, A. (A.), Gaur, V. (V.), Gaz, A. (A.), Geßler, T. (T.), Gebauer, U. (U.), Gelb, M. (M.), Gellrich, A. (A.), Getzkow, D. 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(Y.), Kawasaki, T. (T.), Ketter, C. (C.), Khasmidatul, M. (M.), Kichimi, H. (H.), Kim, J.B. (J. B.), Kim, K.T. (K. T.), Kim, H.J. (H. J.), Kim, D.Y. (D. Y.), Kim, K. (K.), Kim, Y. (Y.), Kimmel, T.D. (T. D.), Kindo, H. (H.), Kinoshita, K. (K.), Konno, T. (T.), Korobov, A. (A.), Korpar, S. (S.), Kotchetkov, D. (D.), Kowalewski, R. (R.), Križan, P. (P.), Kroeger, R. (R.), Krohn, J.-F. (J. F.), Krokovny, P. (P.), Kuehn, W. (W.), Kuhr, T. (T.), Kulasiri, R. (R.), Kumar, M. (M.), Kumar, R. (R.), Kumita, T. (T.), Kuzmin, A. (A.), Kwon, Y.-J. (Y. J.), Lacaprara, S. (S.), Lai, Y.-T. (Y. T.), Lalwani, K. (K.), Lange, J.S. (J. S.), Lee, S.C. (S. C.), Lee, J.Y. (J. Y.), Leitl, P. (P.), Levit, D. (D.), Levonian, S. (S.), Li, S. (S.), Li, L.K. (L. K.), Li, Y. (Y.), Li, Y.B. (Y. B.), Li, Q. (Q.), Li Gioi, L. (L.), Libby, J. (J.), Liptak, Z. (Z.), Liventsev, D. (D.), Longo, S. (S.), Loos, A. (A.), Lopez Castro, G. (G.), Lubej, M. (M.), Lueck, T. (T.), Luetticke, F. (F.), Luo, T. (T.), Müller, F. 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(M.), Brambilla, N. (N.), Braun, V.M. (V. M.), Brod, J. (J.), Buras, A.J. (A. J.), Cheng, H.Y. (H. Y.), Chiang, C.W. (C. W.), Ciuchini, M. (M.), Colangelo, G. (G.), Crivellin, A. (A.), Czyz, H. (H.), Datta, A. (A.), De Fazio, F. (F.), Deppisch, T. (T.), Dolan, M.J. (M. J.), Evans, J. (J.), Fajfer, S. (S.), Feldmann, T. (T.), Godfrey, S. (S.), Gronau, M. (M.), Grossman, Y. (Y.), Guo, F.K. (F. K.), Haisch, U. (U.), Hanhart, C. (C.), Hashimoto, S. (S.), Hirose, S. (S.), Hisano, J. (J.), Hofer, L. (L.), Hoferichter, M. (M.), Hou, W.S. (W. S.), Huber, T. (T.), Hurth, T. (T.), Jaeger, S. (S.), Jahn, S. (S.), Jamin, M. (M.), Jones, J. (J.), Jung, M. (M.), Kagan, A.L. (A. L.), Kahlhoefer, F. (F.), Kamenik, J.F. (J. F.), Kaneko, T. (T.), Kiyo, Y. (Y.), Kokulu, A. (A.), Kosnik, N. (N.), Kronfeld, A.S. (A. S.), Ligeti, Z. (Z.), Logan, H. (H.), Lu, C.D. (C. D.), Lubicz, V. (V.), Mahmoudi, F. (F.), Maltman, K. (K.), Mishima, S. (S.), Misiak, M. (M.), Moats, K. (K.), Moussallam, B. (B.), Nefediev, A. (A.), Nierste, U. (U.), Nomura, D. (D.), Offen, N. (N.), Olsen, S.L. (S. L.), Passemar, E. (E.), Paul, A. (A.), Paz, G. (G.), Petrov, A.A. (A. A.), Pich, A. (A.), Polosa, A.D. (A. D.), Pradler, J. (J.), Prelovsek, S. (S.), Procura, M. (M.), Ricciardi, G. (G.), Robinson, D.J. (D. J.), Roig, P. (P.), Rosiek, J. (J.), Schacht, S. (S.), Schmidt-Hoberg, K. (K.), Schwichtenberg, J. (J.), Sharpe, S.R. (S. R.), Shigemitsu, J. (J.), Shih, D. (D.), Shimizu, N. (N.), Shimizu, Y. (Y.), Silvestrini, L. (L.), Simula, S. (S.), Smith, C. (C.), Stoffer, P. (P.), Straub, D. (D.), Tackmann, F.J. (F. J.), Tanaka, M. (M.), Tayduganov, A. (A.), Tetlalmatzi-Xolocotzi, G. (G.), Teubner, T. (T.), Vairo, A. (A.), Van Dyk, D. (D.), Virto, J. (J.), Was, Z. (Z.), Watanabe, R. (R.), Watson, I. (I.), Westhoff, S. (S.), Zupan, J. (J.), Zwicky, R. (R.), Abudinén, F. (F.), Adachi, I. (I.), Adamczyk, K. (K.), Ahlburg, P. (P.), Aihara, H. (H.), Aloisio, A. (A.), Andricek, L. (L.), Anh Ky, N. (N.), Arndt, M. (M.), Asner, D.M. (D. M.), Atmacan, H. (H.), Aushev, T. (T.), Aushev, V. (V.), Ayad, R. (R.), Aziz, T. (T.), Baehr, S. (S.), Bahinipati, S. (S.), Bambade, P. (P.), Ban, Y. (Y.), Barrett, M. (M.), Baudot, J. (J.), Behera, P. (P.), Belous, K. (K.), Bender, M. (M.), Bennett, J. (J.), Berger, M. (M.), Bernieri, E. (E.), Bernlochner, F.U. (F. U.), Bessner, M. (M.), Besson, D. (D.), Bettarini, S. (S.), Bhardwaj, V. (V.), Bhuyan, B. (B.), Bilka, T. (T.), Bilmis, S. (S.), Bilokin, S. (S.), Bonvicini, G. (G.), Bozek, A. (A.), Bračko, M. (M.), Branchini, P. (P.), Braun, N. (N.), Briere, R.A. (R. A.), Browder, T.E. (T. E.), Burmistrov, L. (L.), Bussino, S. (S.), Cao, L. (L.), Caria, G. (G.), Casarosa, G. (G.), Cecchi, C. (C.), Červenkov, D. (D.), Chang, M.-C. (M. C.), Chang, P. (P.), Cheaib, R. (R.), Chekelian, V. (V.), Chen, Y. (Y.), Cheon, B.G. (B. G.), Chilikin, K. (K.), Cho, K. (K.), Choi, J. (J.), Choi, S.-K. (S. K.), Choudhury, S. (S.), Cinabro, D. (D.), Cremaldi, L.M. (L. M.), Cuesta, D. (D.), Cunliffe, S. (S.), Dash, N. (N.), De La Cruz Burelo, E. (E.), De Lucia, E. (E.), De Nardo, G. (G.), De Nuccio, M. (M.), De Pietro, G. (G.), De Yta Hernandez, A. (A.), Deschamps, B. (B.), Destefanis, M. (M.), Dey, S. (S.), Di Capua, F. (F.), Di Carlo, S. (S.), Dingfelder, J. (J.), Doležal, Z. (Z.), Domínguez Jiménez, I. (I.), Dong, T.V. (T. V.), Dossett, D. (D.), Duell, S. (S.), Eidelman, S. (S.), Epifanov, D. (D.), Fast, J.E. (J. E.), Ferber, T. (T.), Fiore, S. (S.), Fodor, A. (A.), Forti, F. (F.), Frey, A. (A.), Frost, O. (O.), Fulsom, B.G. (B. G.), Gabriel, M. (M.), Gabyshev, N. (N.), Ganiev, E. (E.), Gao, X. (X.), Gao, B. (B.), Garg, R. (R.), Garmash, A. (A.), Gaur, V. (V.), Gaz, A. (A.), Geßler, T. (T.), Gebauer, U. (U.), Gelb, M. (M.), Gellrich, A. (A.), Getzkow, D. (D.), Giordano, R. (R.), Giri, A. (A.), Glazov, A. (A.), Gobbo, B. (B.), Godang, R. (R.), Gogota, O. (O.), Goldenzweig, P. (P.), Golob, B. (B.), Gradl, W. (W.), Graziani, E. (E.), Greco, M. (M.), Greenwald, D. (D.), Gribanov, S. (S.), Guan, Y. (Y.), Guido, E. (E.), Guo, A. (A.), Halder, S. (S.), Hara, K. (K.), Hartbrich, O. (O.), Hauth, T. (T.), Hayasaka, K. (K.), Hayashii, H. (H.), Hearty, C. (C.), Heredia De La Cruz, I. (I.), Hernandez Villanueva, M. (M.), Hershenhorn, A. (A.), Higuchi, T. (T.), Hoek, M. (M.), Hollitt, S. (S.), Hong Van, N.T. (N. T.), Hsu, C.-L. (C. L.), Hu, Y. (Y.), Huang, K. (K.), Iijima, T. (T.), Inami, K. (K.), Inguglia, G. (G.), Ishikawa, A. (A.), Itoh, R. (R.), Iwasaki, Y. (Y.), Iwasaki, M. (M.), Jackson, P. (P.), Jacobs, W.W. (W. W.), Jaegle, I. (I.), Jeon, H.B. (H. B.), Ji, X. (X.), Jia, S. (S.), Jin, Y. (Y.), Joo, C. (C.), Künzel, M. (M.), Kadenko, I. (I.), Kahn, J. (J.), Kakuno, H. (H.), Kaliyar, A.B. (A. B.), Kandra, J. (J.), Kang, K.H. (K. H.), Kato, Y. (Y.), Kawasaki, T. (T.), Ketter, C. (C.), Khasmidatul, M. (M.), Kichimi, H. (H.), Kim, J.B. (J. B.), Kim, K.T. (K. T.), Kim, H.J. (H. J.), Kim, D.Y. (D. Y.), Kim, K. (K.), Kim, Y. (Y.), Kimmel, T.D. (T. D.), Kindo, H. (H.), Kinoshita, K. (K.), Konno, T. (T.), Korobov, A. (A.), Korpar, S. (S.), Kotchetkov, D. (D.), Kowalewski, R. (R.), Križan, P. (P.), Kroeger, R. (R.), Krohn, J.-F. (J. F.), Krokovny, P. (P.), Kuehn, W. (W.), Kuhr, T. (T.), Kulasiri, R. (R.), Kumar, M. (M.), Kumar, R. (R.), Kumita, T. (T.), Kuzmin, A. (A.), Kwon, Y.-J. (Y. J.), Lacaprara, S. (S.), Lai, Y.-T. (Y. T.), Lalwani, K. (K.), Lange, J.S. (J. S.), Lee, S.C. (S. C.), Lee, J.Y. (J. Y.), Leitl, P. (P.), Levit, D. (D.), Levonian, S. (S.), Li, S. (S.), Li, L.K. (L. K.), Li, Y. (Y.), Li, Y.B. (Y. B.), Li, Q. (Q.), Li Gioi, L. (L.), Libby, J. (J.), Liptak, Z. (Z.), Liventsev, D. (D.), Longo, S. (S.), Loos, A. (A.), Lopez Castro, G. (G.), Lubej, M. (M.), Lueck, T. (T.), Luetticke, F. (F.), Luo, T. (T.), Müller, F. (F.), Müller, T. (Th), Macqueen, C. (C.), Maeda, Y. (Y.), Maggiora, M. (M.), Maity, S. (S.), Manoni, E. (E.), Marcello, S. (S.), Marinas, C. (C.), Martinez Hernandez, M. (M.), Martini, A. (A.), Matvienko, D. (D.), Mckenna, J.A. (J. A.), Meier, F. (F.), Merola, M. (M.), Metzner, F. (F.), Miller, C. (C.), Miyabayashi, K. (K.), Miyake, H. (H.), Miyata, H. (H.), Mizuk, R. (R.), Mohanty, G.B. (G. B.), Moon, H.K. (H. K.), Moon, T. (T.), Morda, A. (A.), Morii, T. (T.), Mrvar, M. (M.), Muroyama, G. (G.), Mussa, R. (R.), Nakamura, I. (I.), Nakano, T. (T.), Nakao, M. (M.), Nakayama, H. (H.), Nakazawa, H. (H.), Nanut, T. (T.), Naruki, M. (M.), Nath, K.J. (K. J.), Nayak, M. (M.), Nellikunnummel, N. (N.), Neverov, D. (D.), Niebuhr, C. (C.), Ninkovic, J. (J.), Nishida, S. (S.), Nishimura, K. (K.), Nouxman, M. (M.), Nowak, G. (G.), Ogawa, K. (K.), Onishchuk, Y. (Y.), Ono, H. (H.), Onuki, Y. (Y.), Pakhlov, P. (P.), Pakhlova, G. (G.), Pal, B. (B.), Paoloni, E. (E.), Park, H. (H.), Park, C.-S. (C. S.), Paschen, B. (B.), Passeri, A. (A.), Paul, S. (S.), Pedlar, T.K. (T. K.), Perelló, M. (M.), Peruzzi, I.M. (I. M.), Pestotnik, R. (R.), Piilonen, L.E. (L. E.), Podesta Lerma, L. (L.), Popov, V. (V.), Prasanth, K. (K.), Prencipe, E. (E.), Prim, M. (M.), Purohit, M.V. (M. V.), Rabusov, A. (A.), Rasheed, R. (R.), Reiter, S. (S.), Remnev, M. (M.), Resmi, P.K. (P. K.), Ripp-Baudot, I. (I.), Ritter, M. (M.), Ritzert, M. (M.), Rizzo, G. (G.), Rizzuto, L. (L.), Robertson, S.H. (S. H.), Rodriguez Perez, D. (D.), Roney, J.M. (J. M.), Rosenfeld, C. (C.), Rostomyan, A. (A.), Rout, N. (N.), Rummel, S. (S.), Russo, G. (G.), Sahoo, D. (D.), Sakai, Y. (Y.), Salehi, M. (M.), Sanders, D.A. (D. A.), Sandilya, S. (S.), Sangal, A. (A.), Santelj, L. (L.), Sasaki, J. (J.), Sato, Y. (Y.), Savinov, V. (V.), Scavino, B. (B.), Schram, M. (M.), Schreeck, H. (H.), Schueler, J. (J.), Schwanda, C. (C.), Schwartz, A.J. (A. J.), Seddon, R.M. (R. M.), Seino, Y. (Y.), Senyo, K. (K.), Seon, O. (O.), Seong, I.S. (I. S.), Sevior, M.E. (M. E.), Sfienti, C. (C.), Shapkin, M. (M.), Shen, C.P. (C. P.), Shimomura, M. (M.), Shiu, J.-G. (J. G.), Shwartz, B. (B.), Sibidanov, A. (A.), Simon, F. (F.), Singh, J.B. (J. B.), Sinha, R. (R.), Skambraks, S. (S.), Smith, K. (K.), Sobie, R.J. (R. J.), Soffer, A. (A.), Sokolov, A. (A.), Solovieva, E. (E.), Spruck, B. (B.), Stanič, S. (S.), Starič, M. (M.), Starinsky, N. (N.), Stolzenberg, U. (U.), Stottler, Z. (Z.), Stroili, R. (R.), Strube, J.F. (J. F.), Stypula, J. (J.), Sumihama, M. (M.), Sumisawa, K. (K.), Sumiyoshi, T. (T.), Summers, D. (D.), Sutcliffe, W. (W.), Suzuki, S.Y. (S. Y.), Tabata, M. (M.), Takahashi, M. (M.), Takizawa, M. (M.), Tamponi, U. (U.), Tan, J. (J.), Tanaka, S. (S.), Tanida, K. (K.), Taniguchi, N. (N.), Tao, Y. (Y.), Taras, P. (P.), Tejeda Munoz, G. (G.), Tenchini, F. (F.), Tippawan, U. (U.), Torassa, E. (E.), Trabelsi, K. (K.), Tsuboyama, T. (T.), Uchida, M. (M.), Uehara, S. (S.), Uglov, T. (T.), Unno, Y. (Y.), Uno, S. (S.), Ushiroda, Y. (Y.), Usov, Y. (Y.), Vahsen, S.E. (S. E.), Van Tonder, R. (R.), Varner, G. (G.), Varvell, K.E. (K. E.), Vinokurova, A. (A.), Vitale, L. (L.), Vos, M. (M.), Vossen, A. (A.), Waheed, E. (E.), Wakeling, H. (H.), Wan, K. (K.), Wang, M.-Z. (M. Z.), Wang, X.L. (X. L.), Wang, B. (B.), Warburton, A. (A.), Webb, J. (J.), Wehle, S. (S.), Wessel, C. (C.), Wiechczynski, J. (J.), Wieduwilt, P. (P.), Won, E. (E.), Xu, Q. (Q.), Xu, X. (X.), Yabsley, B.D. (B. D.), Yamada, S. (S.), Yamamoto, H. (H.), Yan, W. (W.), Yang, S.B. (S. B.), Ye, H. (H.), Yeo, I. (I.), Yin, J.H. (J. H.), Yonenaga, M. (M.), Yoshinobu, T. (T.), Yuan, W. (W.), Yuan, C.Z. (C. Z.), Yusa, Y. (Y.), Zakharov, S. (S.), Zani, L. (L.), Zeyrek, M. (M.), Zhang, J. (J.), Zhang, Y. (Y.), Zhou, X. (X.), Zhukova, V. (V.), Zhulanov, V. (V.), and Zupanc, A. (A.)
Abstract: In the original version of this manuscript, an error was introduced on pp352. '2.7nb:1.6nb' has been corrected to '2.4nb:1.3nb' in the current online and printed version. doi:10.1093/ptep/ptz106.
Published: 2020
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33. Spalling of intermetallic compounds during the reaction between lead-free solders and electroless Ni-P metallization

Author: Sohn, Y. C., Yu, Jin, Kang, S. K., Shih, D. Y., and Lee, T. Y.
Published: 2004
Full Text: View/download PDF

34. Effects of phosphorus content on the reaction of electroless Ni-P with Sn and crystallization of Ni-P

Author: Sohn, Y. C., Yu, Jin, Kang, S. K., Shih, D. Y., and Choi, W. K.
Published: 2004
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35. Uncertainty analysis: one-dimensional radioactive nuclide transport in a single fractured media

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Published: 2004
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36. Study of the reaction mechanism between electroless Ni–P and Sn and its effect on the crystallization of Ni–P

Author: Sohn, Y. C., Yu, Jin, Kang, S. K., Choi, W. K., and Shih, D. Y.
Published: 2003
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37. Identification of phase propagation of water level in tidal river by spectral analysis

Author: Shih, D. C.-F.
Published: 2002
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38. Studies of the mechanical and electrical properties of lead-free solder joints

Author: Kang, S. K., Choi, W. K., Yim, M. J., and Shih, D. Y.
Published: 2002
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39. A study of the effects of solder volume on the interfacial reactions in solder joints using the differential scanning calorimetry technique

Author: Choi, W. K., Kang, S. K., and Shih, D. -Y.
Published: 2002
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40. Spectral analysis of water level fluctuations in aquifers

Author: Shih, D. C.-F. and Lin, G.-F.
Published: 2002
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41. Applicability of spectral analysis to determine hydraulic diffusivity

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Published: 2000
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42. Split-dose administration of thiopurine drugs: a novel and effective strategy for managing preferential 6-MMP metabolism

Author: Shih, D. Q., Nguyen, M., Zheng, L., Ibanez, P., Mei, L., Kwan, L. Y., Bradford, K., Ting, C., Targan, S. R., and Vasiliauskas, E. A.
Published: 2012
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43. Determination of hydraulic diffusivity of aquifers by spectral analysis

Author: Shih, D. C.-F.
Published: 1999
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44. Active surveillance for suspected COVID-19 cases in inpatients with information technology

Author: Lin, C-Y., primary, Cheng, C-H., additional, Lu, P-L., additional, Shih, D-C., additional, Hung, C-T., additional, Lo, H-H., additional, Tsai, M-J., additional, and Hung, J-Y., additional
Published: 2020
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45. The Belle II Physics Book

Author: Kou, E, primary, Urquijo, P, primary, Altmannshofer, W, primary, Beaujean, F, primary, Bell, G, primary, Beneke, M, primary, Bigi, I I, primary, Bishara, F, primary, Blanke, M, primary, Bobeth, C, primary, Bona, M, primary, Brambilla, N, primary, Braun, V M, primary, Brod, J, primary, Buras, A J, primary, Cheng, H Y, primary, Chiang, C W, primary, Ciuchini, M, primary, Colangelo, G, primary, Crivellin, A, primary, Czyz, H, primary, Datta, A, primary, De Fazio, F, primary, Deppisch, T, primary, Dolan, M J, primary, Evans, J, primary, Fajfer, S, primary, Feldmann, T, primary, Godfrey, S, primary, Gronau, M, primary, Grossman, Y, primary, Guo, F K, primary, Haisch, U, primary, Hanhart, C, primary, Hashimoto, S, primary, Hirose, S, primary, Hisano, J, primary, Hofer, L, primary, Hoferichter, M, primary, Hou, W S, primary, Huber, T, primary, Hurth, T, primary, Jaeger, S, primary, Jahn, S, primary, Jamin, M, primary, Jones, J, primary, Jung, M, primary, Kagan, A L, primary, Kahlhoefer, F, primary, Kamenik, J F, primary, Kaneko, T, primary, Kiyo, Y, primary, Kokulu, A, primary, Kosnik, N, primary, Kronfeld, A S, primary, Ligeti, Z, primary, Logan, H, primary, Lu, C D, primary, Lubicz, V, primary, Mahmoudi, F, primary, Maltman, K, primary, Mishima, S, primary, Misiak, M, primary, Moats, K, primary, Moussallam, B, primary, Nefediev, A, primary, Nierste, U, primary, Nomura, D, primary, Offen, N, primary, Olsen, S L, primary, Passemar, E, primary, Paul, A, primary, Paz, G, primary, Petrov, A A, primary, Pich, A, primary, Polosa, A D, primary, Pradler, J, primary, Prelovsek, S, primary, Procura, M, primary, Ricciardi, G, primary, Robinson, D J, primary, Roig, P, primary, Rosiek, J, primary, Schacht, S, primary, Schmidt-Hoberg, K, primary, Schwichtenberg, J, primary, Sharpe, S R, primary, Shigemitsu, J, primary, Shih, D, primary, Shimizu, N, primary, Shimizu, Y, primary, Silvestrini, L, primary, Simula, S, primary, Smith, C, primary, Stoffer, P, primary, Straub, D, primary, Tackmann, F J, primary, Tanaka, M, primary, Tayduganov, A, primary, Tetlalmatzi-Xolocotzi, G, primary, Teubner, T, primary, Vairo, A, primary, van Dyk, D, primary, Virto, J, primary, Was, Z, primary, Watanabe, R, primary, Watson, I, primary, Westhoff, S, primary, Zupan, J, primary, Zwicky, R, primary, Abudinén, F, primary, Adachi, I, primary, Adamczyk, K, primary, Ahlburg, P, primary, Aihara, H, primary, Aloisio, A, primary, Andricek, L, primary, Anh Ky, N, primary, Arndt, M, primary, Asner, D M, primary, Atmacan, H, primary, Aushev, T, primary, Aushev, V, primary, Ayad, R, primary, Aziz, T, primary, Baehr, S, primary, Bahinipati, S, primary, Bambade, P, primary, Ban, Y, primary, Barrett, M, primary, Baudot, J, primary, Behera, P, primary, Belous, K, primary, Bender, M, primary, Bennett, J, primary, Berger, M, primary, Bernieri, E, primary, Bernlochner, F U, primary, Bessner, M, primary, Besson, D, primary, Bettarini, S, primary, Bhardwaj, V, primary, Bhuyan, B, primary, Bilka, T, primary, Bilmis, S, primary, Bilokin, S, primary, Bonvicini, G, primary, Bozek, A, primary, Bračko, M, primary, Branchini, P, primary, Braun, N, primary, Briere, R A, primary, Browder, T E, primary, Burmistrov, L, primary, Bussino, S, primary, Cao, L, primary, Caria, G, primary, Casarosa, G, primary, Cecchi, C, primary, Červenkov, D, primary, Chang, M-C, primary, Chang, P, primary, Cheaib, R, primary, Chekelian, V, primary, Chen, Y, primary, Cheon, B G, primary, Chilikin, K, primary, Cho, K, primary, Choi, J, primary, Choi, S-K, primary, Choudhury, S, primary, Cinabro, D, primary, Cremaldi, L M, primary, Cuesta, D, primary, Cunliffe, S, primary, Dash, N, primary, de la Cruz Burelo, E, primary, de Lucia, E, primary, De Nardo, G, primary, De Nuccio, M, primary, De Pietro, G, primary, De Yta Hernandez, A, primary, Deschamps, B, primary, Destefanis, M, primary, Dey, S, primary, Di Capua, F, primary, Di Carlo, S, primary, Dingfelder, J, primary, Doležal, Z, primary, Domínguez Jiménez, I, primary, Dong, T V, primary, Dossett, D, primary, Duell, S, primary, Eidelman, S, primary, Epifanov, D, primary, Fast, J E, primary, Ferber, T, primary, Fiore, S, primary, Fodor, A, primary, Forti, F, primary, Frey, A, primary, Frost, O, primary, Fulsom, B G, primary, Gabriel, M, primary, Gabyshev, N, primary, Ganiev, E, primary, Gao, X, primary, Gao, B, primary, Garg, R, primary, Garmash, A, primary, Gaur, V, primary, Gaz, A, primary, Geßler, T, primary, Gebauer, U, primary, Gelb, M, primary, Gellrich, A, primary, Getzkow, D, primary, Giordano, R, primary, Giri, A, primary, Glazov, A, primary, Gobbo, B, primary, Godang, R, primary, Gogota, O, primary, Goldenzweig, P, primary, Golob, B, primary, Gradl, W, primary, Graziani, E, primary, Greco, M, primary, Greenwald, D, primary, Gribanov, S, primary, Guan, Y, primary, Guido, E, primary, Guo, A, primary, Halder, S, primary, Hara, K, primary, Hartbrich, O, primary, Hauth, T, primary, Hayasaka, K, primary, Hayashii, H, primary, Hearty, C, primary, Heredia De La Cruz, I, primary, Hernandez Villanueva, M, primary, Hershenhorn, A, primary, Higuchi, T, primary, Hoek, M, primary, Hollitt, S, primary, Hong Van, N T, primary, Hsu, C-L, primary, Hu, Y, primary, Huang, K, primary, Iijima, T, primary, Inami, K, primary, Inguglia, G, primary, Ishikawa, A, primary, Itoh, R, primary, Iwasaki, Y, primary, Iwasaki, M, primary, Jackson, P, primary, Jacobs, W W, primary, Jaegle, I, primary, Jeon, H B, primary, Ji, X, primary, Jia, S, primary, Jin, Y, primary, Joo, C, primary, Künzel, M, primary, Kadenko, I, primary, Kahn, J, primary, Kakuno, H, primary, Kaliyar, A B, primary, Kandra, J, primary, Kang, K H, primary, Kato, Y, primary, Kawasaki, T, primary, Ketter, C, primary, Khasmidatul, M, primary, Kichimi, H, primary, Kim, J B, primary, Kim, K T, primary, Kim, H J, primary, Kim, D Y, primary, Kim, K, primary, Kim, Y, primary, Kimmel, T D, primary, Kindo, H, primary, Kinoshita, K, primary, Konno, T, primary, Korobov, A, primary, Korpar, S, primary, Kotchetkov, D, primary, Kowalewski, R, primary, Križan, P, primary, Kroeger, R, primary, Krohn, J-F, primary, Krokovny, P, primary, Kuehn, W, primary, Kuhr, T, primary, Kulasiri, R, primary, Kumar, M, primary, Kumar, R, primary, Kumita, T, primary, Kuzmin, A, primary, Kwon, Y-J, primary, Lacaprara, S, primary, Lai, Y-T, primary, Lalwani, K, primary, Lange, J S, primary, Lee, S C, primary, Lee, J Y, primary, Leitl, P, primary, Levit, D, primary, Levonian, S, primary, Li, S, primary, Li, L K, primary, Li, Y, primary, Li, Y B, primary, Li, Q, primary, Li Gioi, L, primary, Libby, J, primary, Liptak, Z, primary, Liventsev, D, primary, Longo, S, primary, Loos, A, primary, Lopez Castro, G, primary, Lubej, M, primary, Lueck, T, primary, Luetticke, F, primary, Luo, T, primary, Müller, F, primary, Müller, Th, primary, MacQueen, C, primary, Maeda, Y, primary, Maggiora, M, primary, Maity, S, primary, Manoni, E, primary, Marcello, S, primary, Marinas, C, primary, Martinez Hernandez, M, primary, Martini, A, primary, Matvienko, D, primary, McKenna, J A, primary, Meier, F, primary, Merola, M, primary, Metzner, F, primary, Miller, C, primary, Miyabayashi, K, primary, Miyake, H, primary, Miyata, H, primary, Mizuk, R, primary, Mohanty, G B, primary, Moon, H K, primary, Moon, T, primary, Morda, A, primary, Morii, T, primary, Mrvar, M, primary, Muroyama, G, primary, Mussa, R, primary, Nakamura, I, primary, Nakano, T, primary, Nakao, M, primary, Nakayama, H, primary, Nakazawa, H, primary, Nanut, T, primary, Naruki, M, primary, Nath, K J, primary, Nayak, M, primary, Nellikunnummel, N, primary, Neverov, D, primary, Niebuhr, C, primary, Ninkovic, J, primary, Nishida, S, primary, Nishimura, K, primary, Nouxman, M, primary, Nowak, G, primary, Ogawa, K, primary, Onishchuk, Y, primary, Ono, H, primary, Onuki, Y, primary, Pakhlov, P, primary, Pakhlova, G, primary, Pal, B, primary, Paoloni, E, primary, Park, H, primary, Park, C-S, primary, Paschen, B, primary, Passeri, A, primary, Paul, S, primary, Pedlar, T K, primary, Perelló, M, primary, Peruzzi, I M, primary, Pestotnik, R, primary, Piilonen, L E, primary, Podesta Lerma, L, primary, Popov, V, primary, Prasanth, K, primary, Prencipe, E, primary, Prim, M, primary, Purohit, M V, primary, Rabusov, A, primary, Rasheed, R, primary, Reiter, S, primary, Remnev, M, primary, Resmi, P K, primary, Ripp-Baudot, I, primary, Ritter, M, primary, Ritzert, M, primary, Rizzo, G, primary, Rizzuto, L, primary, Robertson, S H, primary, Rodriguez Perez, D, primary, Roney, J M, primary, Rosenfeld, C, primary, Rostomyan, A, primary, Rout, N, primary, Rummel, S, primary, Russo, G, primary, Sahoo, D, primary, Sakai, Y, primary, Salehi, M, primary, Sanders, D A, primary, Sandilya, S, primary, Sangal, A, primary, Santelj, L, primary, Sasaki, J, primary, Sato, Y, primary, Savinov, V, primary, Scavino, B, primary, Schram, M, primary, Schreeck, H, primary, Schueler, J, primary, Schwanda, C, primary, Schwartz, A J, primary, Seddon, R M, primary, Seino, Y, primary, Senyo, K, primary, Seon, O, primary, Seong, I S, primary, Sevior, M E, primary, Sfienti, C, primary, Shapkin, M, primary, Shen, C P, primary, Shimomura, M, primary, Shiu, J-G, primary, Shwartz, B, primary, Sibidanov, A, primary, Simon, F, primary, Singh, J B, primary, Sinha, R, primary, Skambraks, S, primary, Smith, K, primary, Sobie, R J, primary, Soffer, A, primary, Sokolov, A, primary, Solovieva, E, primary, Spruck, B, primary, Stanič, S, primary, Starič, M, primary, Starinsky, N, primary, Stolzenberg, U, primary, Stottler, Z, primary, Stroili, R, primary, Strube, J F, primary, Stypula, J, primary, Sumihama, M, primary, Sumisawa, K, primary, Sumiyoshi, T, primary, Summers, D, primary, Sutcliffe, W, primary, Suzuki, S Y, primary, Tabata, M, primary, Takahashi, M, primary, Takizawa, M, primary, Tamponi, U, primary, Tan, J, primary, Tanaka, S, primary, Tanida, K, primary, Taniguchi, N, primary, Tao, Y, primary, Taras, P, primary, Tejeda Munoz, G, primary, Tenchini, F, primary, Tippawan, U, primary, Torassa, E, primary, Trabelsi, K, primary, Tsuboyama, T, primary, Uchida, M, primary, Uehara, S, primary, Uglov, T, primary, Unno, Y, primary, Uno, S, primary, Ushiroda, Y, primary, Usov, Y, primary, Vahsen, S E, primary, van Tonder, R, primary, Varner, G, primary, Varvell, K E, primary, Vinokurova, A, primary, Vitale, L, primary, Vos, M, primary, Vossen, A, primary, Waheed, E, primary, Wakeling, H, primary, Wan, K, primary, Wang, M-Z, primary, Wang, X L, primary, Wang, B, primary, Warburton, A, primary, Webb, J, primary, Wehle, S, primary, Wessel, C, primary, Wiechczynski, J, primary, Wieduwilt, P, primary, Won, E, primary, Xu, Q, primary, Xu, X, primary, Yabsley, B D, primary, Yamada, S, primary, Yamamoto, H, primary, Yan, W, primary, Yang, S B, primary, Ye, H, primary, Yeo, I, primary, Yin, J H, primary, Yonenaga, M, primary, Yoshinobu, T, primary, Yuan, W, primary, Yuan, C Z, primary, Yusa, Y, primary, Zakharov, S, primary, Zani, L, primary, Zeyrek, M, primary, Zhang, J, primary, Zhang, Y, primary, Zhou, X, primary, Zhukova, V, primary, Zhulanov, V, primary, and Zupanc, A, primary
Published: 2020
Full Text: View/download PDF

46. Development and Scale-up of the Low Density Core Process for Ti-64

Author: Schwartz, D. S., Shih, D. S., Lederich, R. J., Martin, R. L., and Deuser, D. A.
Published: 1998
Full Text: View/download PDF

47. Erratum: A Hematogenous Route for Medulloblastoma Leptomeningeal Metastases (S0092867418301156 (2018) 172(5) (1050–1062.e14) (S0092867418301156) (10.1016/j.cell.2018.01.038))

Author: Garzia L., Kijima N., Morrissy A. S., De Antonellis P., Guerreiro-Stucklin A., Holgado B. L., Wu X., Wang X., Parsons M., Zayne K., Manno A., Kuzan-Fischer C., Nor C., Donovan L. K., Liu J., Qin L., Garancher A., Liu K. -W., Mansouri S., Luu B., Thompson Y. Y., Ramaswamy V., Peacock J., Farooq H., Skowron P., Shih D. J. H., Li A., Ensan S., Robbins C. S., Cybulsky M., Mitra S., Ma Y., Moore R., Mungall A., Cho Y. -J., Weiss W. A., Chan J. A., Hawkins C. E., Massimino M., Jabado N., Zapotocky M., Sumerauer D., Bouffet E., Dirks P., Tabori U., Sorensen P. H. B., Brastianos P. K., Aldape K., Jones S. J. M., Marra M. A., Woodgett J. R., Wechsler-Reya R. J., Fults D. W., Taylor M. D., Garzia, L., Kijima, N., Morrissy, A. S., De Antonellis, P., Guerreiro-Stucklin, A., Holgado, B. L., Wu, X., Wang, X., Parsons, M., Zayne, K., Manno, A., Kuzan-Fischer, C., Nor, C., Donovan, L. K., Liu, J., Qin, L., Garancher, A., Liu, K. -W., Mansouri, S., Luu, B., Thompson, Y. Y., Ramaswamy, V., Peacock, J., Farooq, H., Skowron, P., Shih, D. J. H., Li, A., Ensan, S., Robbins, C. S., Cybulsky, M., Mitra, S., Ma, Y., Moore, R., Mungall, A., Cho, Y. -J., Weiss, W. A., Chan, J. A., Hawkins, C. E., Massimino, M., Jabado, N., Zapotocky, M., Sumerauer, D., Bouffet, E., Dirks, P., Tabori, U., Sorensen, P. H. B., Brastianos, P. K., Aldape, K., Jones, S. J. M., Marra, M. A., Woodgett, J. R., Wechsler-Reya, R. J., Fults, D. W., and Taylor, M. D.
Abstract: (Cell 172, 1050–1062; February 22, 2018) It has come to our attention that in preparing the final version of the manuscript, we made a mistake in the legend for Figure 6. The figure includes 4 major panels labeled A, B, C and D, and we inadvertently included descriptions for panels A, B, C, D, and E. The information in the Figure 6E legend describes panel 6D and should have been labeled as such, and the text labeled 6D should have been deleted. The error has been corrected online, and we apologize for any confusion we may have caused.
Published: 2018

48. Fundamental aspects of fatigue and fracture in a TiAl sheet alloy

Author: Chan, K. S. and Shih, D. S.
Published: 1998
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49. Functional Evaluation of a Virally-inactivated Human Platelet Growth Factor Fraction (Gf-18-f) for the Expansion of Human Mesenchymal Stem/stromal Cells from Adipose Tissue: S49-030D

Author: Shih, D T, Liao, P, Kuo, Y P, Burnouf, T, and Su, C Y
Published: 2009

50. Opportunities in Flavour Physics at the HL-LHC and HE-LHC

Author: Cerri, A., Gligorov, V.V., Malvezzi, S., Martin Camalich, J., Zupan, J., Akar, S., Alimena, J., Allanach, B.C., Altmannshofer, W., Anderlini, L., Archilli, F., Azzi, P., Banerjee, S., Barter, W., Barton, A.E., Bauer, M., Belyaev, I., Benson, S., Bettler, M., Bhattacharya, R., Bifani, S., Birnkraut, A., Bishara, F., Blake, T., Blusk, S., Boos, E., Borsato, M., Bozzi, C., Bragagnolo, A., Brod, J., Brodzicka, J., Buras, A.J., Cadamuro, L., Carbone, A., Carena, M., Carli, I., Carmona, A., Cavallo, F.R., Celis, A., Cepeda, M., Chahal, G.S., Chala, M., Charles, J., Charles, M., Chen, K.F., Chobanova, V., Chrzaszcz, M., Ciezarek, G., Cirigliano, V., Ciuchini, M., Cliff, H., Cogan, J., Colangelo, G., Contu, A., Covarelli, R., Cowan, G., Crivellin, A., D'Ambrosio, G., D'Onofrio, M., Dang, N.P., Davis, A., De Aguiar Francisco, O.A., De Bruyn, K., De Sanctis, U., De La Torre, H., Dekens, W., Deliot, F., Della Morte, M., Demers, S., Derkach, D., Deschamps, O., Descotes-Genon, S., Dettori, F., Di Canto, A., Dinardo, M., Dini, P., Dordei, F., Dorigo, M., dos Reis, A., Dudko, L., Dufour, L., Durieux, G., Dutta, S., Dziurda, A., Eitschberger, U., Esposito, A., Estevez, M., Fajfer, S., Falkowski, A., Faroughy, D.A., Fedi, G., Fiorendi, S., Fiori, F., Fitzpatrick, C., Fleischer, R., Fontana, M., Fox, P.J., Freytsis, M., Gámiz, E., Gabriel, E., Gambino, P., García Pardiñas, J., Geng, L.S., Gersabeck, E., Gersabeck, M., Gershon, T., Gilbert, A., Gonzalez-Alonso, M., Govoni, P., Graziani, G., Greljo, A., Grillo, L., Grinstein, B., Grohsjean, A., Grossman, Y., Guadagnoli, D., Guo, F.-K., Guzzi, L., Haller, J., Hamilton, B., Han, T., Harnik, R., Hill, D., Hiller, G., Hoepfner, K., Hogan, J.M., Hurth, T., Igonkina, O., Ilten, P., Isidori, G., Jain, Sa., John, M., Johnson, D., Jung, M., Jurik, N., Jäger, S., Kado, M., Kagan, A.L., Kamenik, J.F., Karliner, M., Kenzie, M., Khanji, B., Kieseler, J., Kitahara, T., Klijnsma, T., Knecht, M., Košnik, N., Kogler, R., Koppenburg, P., Korytov, A., Kreps, M., Langenbruch, C., Langenegger, U., Latham, T., Lebed, R.F., Lenz, A.J., Leonardo, N., Leroy, O., Li, Q., Li, T., Ligabue, F., Ligeti, Z., Long, K., Lunghi, E., Mahmoudi, F., Mancinelli, G., Mandrik, P., Mannel, T., Marcano, X., Marchand, J.F., Martínez Santos, D., Martin, A., Martinelli, M., Martinez Vidal, F., Marzocca, D., Matias, J., Matorras Cuevas, P., Matsedonskyi, O., Mauri, A., Mazumdar, K., Merk, M., Meyer, A.B., Michielin, E., Mitselmakher, G., Mittnacht, L., Monteil, S., Morello, M.J., Morgenstern, M., Narain, M., Nardecchia, M., Needham, M., Neri, N., Neubert, M., Neubert, S., Nierste, U., Nieves, J., Nir, Y., Nisati, A., O'Hanlon, D.P., Oset, E., Owen, P., Ozcelik, O., Pagan Griso, S., Palencia Cortezon, E., Palla, F., Palutan, M., Pappagallo, M., Parkes, C., Pascoli, S., Passaleva, G., Passemar, E., Patel, M., Pearce, A., Pedro, K., Perazzini, S., Perfilov, M., Perrozzi, L., Pescatore, L., Petersen, B.A., Petrov, A.A., Pich, A., Pilloni, A., Polci, F., Polosa, A.D., Prelovsek, S., Puig Navarro, A., Punzi, G., Rademacker, J., Rama, M., Reboud, M., Reimers, A., Reznicek, P., Robinson, D.J., Rosner, J.L., Ruiz, R., Saito, S., Sarkar, S., Savin, A., Sawant, S., Schacht, S., Schlaffer, M., Schmidt, A., Schneider, B., Schopper, A., Schune, M.H., Segovia, J., Selvaggi, M., Serra, N., Servant, G., Sestini, L., Shih, D., Silva Coutinho, R., Silvestrini, L., Skovpen, K., Skwarnicki, T., Smizanska, M., Soni, A., Soreq, Y., Spannowsky, M., Spradlin, P., Stamou, E., Stone, S., Stracka, S., Straub, D.M., P Szczepaniak, A., T'Jampens, S., Takahashi, Y., Teubert, F., Thomas, E., Tisserand, V., Torre, R., Tresoldi, F., Tsiakkouri, D., Turchikhin, S., Ulmer, K.A., Vagnoni, V., Van Dyk, D., Van Tilburg, J., Vecchi, S., Venditti, R., Vesterinen, M., Virto, J., Volkov, P., Vorotnikov, G., Vryonidou, E., Walder, J., Walkowiak, W., Wang, J., Wang, W., Weiland, C., Whitehead, M., Wilkinson, G., Williams, Mike, Williams, M.R.J., Wilson, F., Xie, Y., Yang, Z., Yazgan, E., You, T., Yu, F., Zhang, C., Zhang, L., Zhang, W., Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique Théorique - UMR 7332 (CPT), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Théorique d'Orsay [Orsay] (LPT), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy-le-Vieux de Physique Théorique (LAPTH), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), and Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)
Subjects: flavor, hep-ex, Physics::Instrumentation and Detectors, new physics, High Energy Physics::Lattice, High Energy Physics::Phenomenology, interpretation of experiments: LHC-B, FOS: Physical sciences, hep-ph, interpretation of experiments: CMS, Higgs particle, interpretation of experiments: ATLAS, High Energy Physics - Experiment, High Energy Physics - Phenomenology, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph], CERN LHC Coll: upgrade, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], High Energy Physics::Experiment, new particle
Abstract: Motivated by the success of the flavour physics programme carried out over the last decade at the Large Hadron Collider (LHC), we characterize in detail the physics potential of its High-Luminosity and High-Energy upgrades in this domain of physics. We document the extraordinary breadth of the HL/HE-LHC programme enabled by a putative Upgrade II of the dedicated flavour physics experiment LHCb and the evolution of the established flavour physics role of the ATLAS and CMS general purpose experiments. We connect the dedicated flavour physics programme to studies of the top quark, Higgs boson, and direct high-$p_T$ searches for new particles and force carriers. We discuss the complementarity of their discovery potential for physics beyond the Standard Model, affirming the necessity to fully exploit the LHC's flavour physics potential throughout its upgrade eras., Comment: Report from Working Group 4 on the Physics of the HL-LHC, and Perspectives at the HE-LHC, 292 pages
Published: 2019

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