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7,019 results on '"Buscher"'

2. Order acceptance and scheduling in capacitated job shops

Author

Linß, Florian, Hewitt, Mike, Neufeld, Janis S., and Buscher, Udo

Subjects
Mathematics - Optimization and Control, Computer Science - Discrete Mathematics
Abstract

We consider a capacitated job shop problem with order acceptance. This research is motivated by the management of a research and development project pipeline for a company in the agricultural industry whose success depends on regularly releasing new and innovative products. The setting requires the consideration of multiple problem characteristics not commonly considered in scheduling research. Each job has a given release and due date and requires the execution of an individual sequence of operations on different machines (job shop). There is a set of machines of fixed capacity, each of which can process multiple operations simultaneously. Given that typically only a small percentage of jobs yield a commercially viable product, the number of potential jobs to schedule is in the order of several thousands. Due to limited capacity, not all jobs can be started. Instead, the objective is to maximize the throughput. Namely, to start as many jobs as possible. We present a Mixed Integer Programming (MIP) formulation of this problem and study how resource capacity and the option to delay jobs can impact research and development throughput. We show that the MIP formulation can prove optimality even for very large instances with less restrictive capacity constraints, while instances with a tight capacity are more challenging to solve.

Published
2024

3. ANDES, the high resolution spectrograph for the ELT: science goals, project overview and future developments

Author

Marconi, A., Abreu, M., Adibekyan, V., Alberti, V., Albrecht, S., Alcaniz, J., Aliverti, M., Prieto, C. Allende, Gómez, J. D. Alvarado, Alves, C. S., Amado, P. J., Amate, M., Andersen, M. I., Antoniucci, S., Artigau, E., Bailet, C., Baker, C., Baldini, V., Balestra, A., Barnes, S. A., Baron, F., Barros, S. C. C., Bauer, S. M., Beaulieu, M., Bellido-Tirado, O., Benneke, B., Bensby, T., Bergin, E. A., Berio, P., Biazzo, K., Bigot, L., Bik, A., Birkby, J. L., Blind, N., Boebion, O., Boisse, I., Bolmont, E., Bolton, J. S., Bonaglia, M., Bonfils, X., Bonhomme, L., Borsa, F., Bouret, J. -C., Brandeker, A., Brandner, W., Broeg, C. H., Brogi, M., Brousseau, D., Brucalassi, A., Brynnel, J., Buchhave, L. A., Buscher, D. F., Cabona, L., Cabral, A., Calderone, G., Calvo-Ortega, R., Cantalloube, F., Martins, B. L. Canto, Carbonaro, L., Caujolle, Y., Chauvin, G., Chazelas, B., Cheffot, A. -L., Cheng, Y. S., Chiavassa, A., Christensen, L., Cirami, R., Cirasuolo, M., Cook, N. J., Cooke, R. J., Coretti, I., Covino, S., Cowan, N., Cresci, G., Cristiani, S., Parro, V. Cunha, Cupani, G., D'Odorico, V., Dadi, K., Leão, I. de Castro, De Cia, A., De Medeiros, J. R., Debras, F., Debus, M., Delorme, A., Demangeon, O., Derie, F., Dessauges-Zavadsky, M., Di Marcantonio, P., Di Stefano, S., Dionies, F., de Souza, A. Domiciano, Doyon, R., Dunn, J., Egner, S., Ehrenreich, D., Faria, J. P., Ferruzzi, D., Feruglio, C., Fisher, M., Fontana, A., Frank, B. S., Fuesslein, C., Fumagalli, M., Fusco, T., Fynbo, J., Gabella, O., Gaessler, W., Gallo, E., Gao, X., Genolet, L., Genoni, M., Giacobbe, P., Giro, E., Goncalves, R. S., Gonzalez, O. A., Hernández, J. I. González, Gouvret, C., Temich, F. Gracia, Haehnelt, M. G., Haniff, C., Hatzes, A., Helled, R., Hoeijmakers, H. J., Hughes, I., Huke, P., Ivanisenko, Y., Järvinen, A. S., Järvinen, S. P., Kaminski, A., Kern, J., Knoche, J., Kordt, A., Korhonen, H., Korn, A. J., Kouach, D., Kowzan, G., Kreidberg, L., Landoni, M., Lanotte, A. A., Lavail, A., Lavie, B., Lee, D., Lehmitz, M., Li, J., Li, W., Liske, J., Lovis, C., Lucatello, S., Lunney, D., MacIntosh, M. J., Madhusudhan, N., Magrini, L., Maiolino, R., Maldonado, J., Malo, L., Man, A. W. S., Marquart, T., Marques, C. M. J., Marques, E. L., Martinez, P., Martins, A., Martins, C. J. A. P., Martins, J. H. C., Maslowski, P., Mason, C. A., Mason, E., McCracken, R. A., Sousa, M. A. F. Melo e, Mergo, P., Micela, G., Milaković, D., Molliere, P., Monteiro, M. A., Montgomery, D., Mordasini, C., Morin, J., Mucciarelli, A., Murphy, M. T., N'Diaye, M., Nardetto, N., Neichel, B., Neri, N., Niedzielski, A. T., Niemczura, E., Nisini, B., Nortmann, L., Noterdaeme, P., Nunes, N. J., Oggioni, L., Olchewsky, F., Oliva, E., Onel, H., Origlia, L., Ostlin, G., Ouellette, N. N. -Q., Palle, E., Papaderos, P., Pariani, G., Pasquini, L., Castro, J. Peñate, Pepe, F., Peroux, C., Levasseur, L. Perreault, Perruchot, S., Petit, P., Pfuhl, O., Pino, L., Piqueras, J., Piskunov, N., Pollo, A., Poppenhaeger, K., Porru, M., Puschnig, J., Quirrenbach, A., Rauscher, E., Rebolo, R., Redaelli, E. M. A., Reffert, S., Reid, D. T., Reiners, A., Richter, P., Riva, M., Rivoire, S., Rodriguez-López, C., Roederer, I. U., Romano, D., Roth, M., Rousseau, S., Rowe, J., Saccardi, A., Salvadori, S., Sanna, N., Santos, N. C., Diaz, P. Santos, Sanz-Forcada, J., Sarajlic, M., Sauvage, J. -F., Savio, D., Scaudo, A, Schäfer, S., Schiavon, R. P., Schmidt, T. M., Selmi, C., Simoes, R., Simonnin, A., Sivanandam, S., Sordet, M., Sordo, R., Sortino, F., Sosnowska, D., Sousa, S. G., Spang, A., Spiga, R., Stempels, E., Stevenson, J. R. Y., Strassmeier, K. G., Mascareño, A. Suárez, Sulich, A., Sun, X., Tanvir, N. R., Tenegi-Sangines, F., Thibault, S., Thompson, S. J., Tisserand, P., Tozzi, A., Turbet, M., Veran, J. -P., Vallee, P., Vanni, I., Varas, R., Vega-Moreno, A., Venn, K. A., Verma, A., Vernet, J., Viel, M., Wade, G., Waring, C., Weber, M., Weder, J., Wehbe, B., Weingrill, J., Woche, M., Xompero, M., Zackrisson, E., Zanutta, A., Osorio, M. R. Zapatero, Zechmeister, M., and Zimara, J.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The first generation of ELT instruments includes an optical-infrared high-resolution spectrograph, indicated as ELT-HIRES and recently christened ANDES (ArmazoNes high Dispersion Echelle Spectrograph). ANDES consists of three fibre-fed spectrographs ([U]BV, RIZ, YJH) providing a spectral resolution of $\sim$100,000 with a minimum simultaneous wavelength coverage of 0.4-1.8 $\mu$m with the goal of extending it to 0.35-2.4 $\mu$m with the addition of a U arm to the BV spectrograph and a separate K band spectrograph. It operates both in seeing- and diffraction-limited conditions and the fibre feeding allows several, interchangeable observing modes including a single conjugated adaptive optics module and a small diffraction-limited integral field unit in the NIR. Modularity and fibre-feeding allow ANDES to be placed partly on the ELT Nasmyth platform and partly in the Coud\'e room. ANDES has a wide range of groundbreaking science cases spanning nearly all areas of research in astrophysics and even fundamental physics. Among the top science cases, there are the detection of biosignatures from exoplanet atmospheres, finding the fingerprints of the first generation of stars, tests on the stability of Nature's fundamental couplings, and the direct detection of the cosmic acceleration. The ANDES project is carried forward by a large international consortium, composed of 35 Institutes from 13 countries, forming a team of almost 300 scientists and engineers which include the majority of the scientific and technical expertise in the field that can be found in ESO member states., Comment: SPIE astronomical telescope and instrumentation 2024, in press

Published
2024

7. The Use of Generative Search Engines for Knowledge Work and Complex Tasks

Author

Suri, Siddharth, Counts, Scott, Wang, Leijie, Chen, Chacha, Wan, Mengting, Safavi, Tara, Neville, Jennifer, Shah, Chirag, White, Ryen W., Andersen, Reid, Buscher, Georg, Manivannan, Sathish, Rangan, Nagu, and Yang, Longqi

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence, Computer Science - Computers and Society, Computer Science - Social and Information Networks, J.4
Abstract

Until recently, search engines were the predominant method for people to access online information. The recent emergence of large language models (LLMs) has given machines new capabilities such as the ability to generate new digital artifacts like text, images, code etc., resulting in a new tool, a generative search engine, which combines the capabilities of LLMs with a traditional search engine. Through the empirical analysis of Bing Copilot (Bing Chat), one of the first publicly available generative search engines, we analyze the types and complexity of tasks that people use Bing Copilot for compared to Bing Search. Findings indicate that people use the generative search engine for more knowledge work tasks that are higher in cognitive complexity than were commonly done with a traditional search engine., Comment: 32 pages, 3 figures, 4 tables

Published
2024

8. TnT-LLM: Text Mining at Scale with Large Language Models

Author

Wan, Mengting, Safavi, Tara, Jauhar, Sujay Kumar, Kim, Yujin, Counts, Scott, Neville, Jennifer, Suri, Siddharth, Shah, Chirag, White, Ryen W, Yang, Longqi, Andersen, Reid, Buscher, Georg, Joshi, Dhruv, and Rangan, Nagu

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval
Abstract

Transforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and application. However, most existing methods for producing label taxonomies and building text-based label classifiers still rely heavily on domain expertise and manual curation, making the process expensive and time-consuming. This is particularly challenging when the label space is under-specified and large-scale data annotations are unavailable. In this paper, we address these challenges with Large Language Models (LLMs), whose prompt-based interface facilitates the induction and use of large-scale pseudo labels. We propose TnT-LLM, a two-phase framework that employs LLMs to automate the process of end-to-end label generation and assignment with minimal human effort for any given use-case. In the first phase, we introduce a zero-shot, multi-stage reasoning approach which enables LLMs to produce and refine a label taxonomy iteratively. In the second phase, LLMs are used as data labelers that yield training samples so that lightweight supervised classifiers can be reliably built, deployed, and served at scale. We apply TnT-LLM to the analysis of user intent and conversational domain for Bing Copilot (formerly Bing Chat), an open-domain chat-based search engine. Extensive experiments using both human and automatic evaluation metrics demonstrate that TnT-LLM generates more accurate and relevant label taxonomies when compared against state-of-the-art baselines, and achieves a favorable balance between accuracy and efficiency for classification at scale. We also share our practical experiences and insights on the challenges and opportunities of using LLMs for large-scale text mining in real-world applications., Comment: 9 pages main content, 8 pages references and appendix

Published
2024

9. Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Author

Lin, Ying-Chun, Neville, Jennifer, Stokes, Jack W., Yang, Longqi, Safavi, Tara, Wan, Mengting, Counts, Scott, Suri, Siddharth, Andersen, Reid, Xu, Xiaofeng, Gupta, Deepak, Jauhar, Sujay Kumar, Song, Xia, Buscher, Georg, Tiwary, Saurabh, Hecht, Brent, and Teevan, Jaime

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence
Abstract

Accurate and interpretable user satisfaction estimation (USE) is critical for understanding, evaluating, and continuously improving conversational systems. Users express their satisfaction or dissatisfaction with diverse conversational patterns in both general-purpose (ChatGPT and Bing Copilot) and task-oriented (customer service chatbot) conversational systems. Existing approaches based on featurized ML models or text embeddings fall short in extracting generalizable patterns and are hard to interpret. In this work, we show that LLMs can extract interpretable signals of user satisfaction from their natural language utterances more effectively than embedding-based approaches. Moreover, an LLM can be tailored for USE via an iterative prompting framework using supervision from labeled examples. The resulting method, Supervised Prompting for User satisfaction Rubrics (SPUR), not only has higher accuracy but is more interpretable as it scores user satisfaction via learned rubrics with a detailed breakdown.

Published
2024

10. A branch-and-cut algorithm for vehicle routing problems with three-dimensional loading constraints

Author

Tamke, Felix, Linß, Florian, Kuttner, Leopold, and Buscher, Udo

Subjects
Mathematics - Optimization and Control, 90B06 (Primary) 90C57 (Secondary)
Abstract

This paper presents a new branch-and-cut algorithm based on infeasible path elimination for the three-dimensional loading capacitated vehicle routing problem (3L-CVRP) with different loading problem variants. We show that a previously infeasible route can become feasible by adding a new customer if support constraints are enabled in the loading subproblem and call this the incremental feasibility property. Consequently, different infeasible path definitions apply to different 3L-CVRP variants and we introduce several variant-depending lifting steps to strengthen infeasible path inequalities. The loading subproblem is solved exactly using a flexible constraint programming model to determine the feasibility or infeasibility of a route. An extreme point-based packing heuristic is implemented to reduce time-consuming calls to the exact loading algorithm. Furthermore, we integrate a start solution procedure and periodically combine memoized feasible routes in a set-partitioning-based heuristic to generate new upper bounds. A comprehensive computational study, employing well-known benchmark instances, showcases the significant performance improvements achieved through the algorithmic enhancements. Consequently, we not only prove the optimality of many best-known heuristic solutions for the first time but also introduce new optimal and best solutions for a large number of instances., Comment: 33 pages, 13 figures, 7 tables, Submitted to Transportation Science

Published
2024

11. Conservative or liberal oxygen targets in patients on venoarterial extracorporeal membrane oxygenation

Author

Burrell, Aidan, Bailey, Michael J., Bellomo, Rinaldo, Buscher, Hergen, Eastwood, Glenn, Forrest, Paul, Fraser, John F., Fulcher, Bentley, Gattas, David, Higgins, Alisa M., Hodgson, Carol L., Litton, Edward, Martin, Emma-Leah, Nair, Priya, Ng, Sze J., Orford, Neil, Ottosen, Kelly, Paul, Eldho, Pellegrino, Vincent, Reid, Liadain, Shekar, Kiran, Totaro, Richard J., Trapani, Tony, Udy, Andrew, Ziegenfuss, Marc, and Pilcher, David

Published
2024
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13. S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs

Author

Das, Sarkar Snigdha Sarathi, Shah, Chirag, Wan, Mengting, Neville, Jennifer, Yang, Longqi, Andersen, Reid, Buscher, Georg, and Safavi, Tara

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

The traditional Dialogue State Tracking (DST) problem aims to track user preferences and intents in user-agent conversations. While sufficient for task-oriented dialogue systems supporting narrow domain applications, the advent of Large Language Model (LLM)-based chat systems has introduced many real-world intricacies in open-domain dialogues. These intricacies manifest in the form of increased complexity in contextual interactions, extended dialogue sessions encompassing a diverse array of topics, and more frequent contextual shifts. To handle these intricacies arising from evolving LLM-based chat systems, we propose joint dialogue segmentation and state tracking per segment in open-domain dialogue systems. Assuming a zero-shot setting appropriate to a true open-domain dialogue system, we propose S3-DST, a structured prompting technique that harnesses Pre-Analytical Recollection, a novel grounding mechanism we designed for improving long context tracking. To demonstrate the efficacy of our proposed approach in joint segmentation and state tracking, we evaluate S3-DST on a proprietary anonymized open-domain dialogue dataset, as well as publicly available DST and segmentation datasets. Across all datasets and settings, S3-DST consistently outperforms the state-of-the-art, demonstrating its potency and robustness the next generation of LLM-based chat systems.

Published
2023

14. Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

Author

Shah, Chirag, White, Ryen W., Andersen, Reid, Buscher, Georg, Counts, Scott, Das, Sarkar Snigdha Sarathi, Montazer, Ali, Manivannan, Sathish, Neville, Jennifer, Ni, Xiaochuan, Rangan, Nagu, Safavi, Tara, Suri, Siddharth, Wan, Mengting, Wang, Leijie, and Yang, Longqi

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract

Log data can reveal valuable information about how users interact with Web search services, what they want, and how satisfied they are. However, analyzing user intents in log data is not easy, especially for emerging forms of Web search such as AI-driven chat. To understand user intents from log data, we need a way to label them with meaningful categories that capture their diversity and dynamics. Existing methods rely on manual or machine-learned labeling, which are either expensive or inflexible for large and dynamic datasets. We propose a novel solution using large language models (LLMs), which can generate rich and relevant concepts, descriptions, and examples for user intents. However, using LLMs to generate a user intent taxonomy and apply it for log analysis can be problematic for two main reasons: (1) such a taxonomy is not externally validated; and (2) there may be an undesirable feedback loop. To address this, we propose a new methodology with human experts and assessors to verify the quality of the LLM-generated taxonomy. We also present an end-to-end pipeline that uses an LLM with human-in-the-loop to produce, refine, and apply labels for user intent analysis in log data. We demonstrate its effectiveness by uncovering new insights into user intents from search and chat logs from the Microsoft Bing commercial search engine. The proposed work's novelty stems from the method for generating purpose-driven user intent taxonomies with strong validation. This method not only helps remove methodological and practical bottlenecks from intent-focused research, but also provides a new framework for generating, validating, and applying other kinds of taxonomies in a scalable and adaptable way with reasonable human effort.

Published
2023

15. Scoping review of nursing-related dissemination and implementation research in German-speaking countries: Mapping the field / Scoping Review zum Stand der pflegebezogenen Disseminations- und Implementierungsforschung in deutschsprachigen Ländern: eine Bestandsaufnahme

Author

Hoben Matthias, Berendonk Charlotte, Buscher Ines, Quasdorf Tina, Riesner Christine, Wilborn Doris, and Behrens Johann

Subjects
dissemination and implementation research, nursing, german-speaking countries, scoping review, disseminations- und implementierungsforschung, pflege, deutschsprachige länder, Public aspects of medicine, RA1-1270
Abstract

Implementing evidence-based innovations into care practice is a complex, slow and haphazard process. Dissemination and implementation (DI) research seeks to understand and optimize that process, to close gaps between research and practice and to improve quality of care. While there is a growing body of international DI research, little is known about the number and types of DI research studies and the DI topics studied in German-speaking nursing settings. This scoping review therefore evaluates the state of nursing-related DI research in German-speaking countries, discusses these results in light of the international state of DI research and provides directions for future research. We searched international databases (Web of Knowledge including Medline, CINAHL, PsycInfo, and GeroLit), German library meta-search engines, six German-language key trade journals, and reference lists of included articles. In total, 186 references representing 140 research projects were included in our review. Quality appraisal used five validated checklists. Methodological quality of the included studies was generally low. A total of 92 studies assessed the effects of DI strategies, 67 studied DI barriers and facilitators, 64 evaluated the impact or characteristics of DI processes, and 5 reported on the development or validation of DI research tools. None of the included studies focussed on methodological questions of DI research or on development and testing of DI theories and models. Future nursing-related DI research in German-speaking countries should particularly focus on these latter topics. Taking into account the international state of DI research will be especially crucial for those research activities.

Published
2014
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16. Neurologic complications in patients receiving aortic versus subclavian versus femoral arterial cannulation for post-cardiotomy extracorporeal life support: results of the PELS observational multicenter study

Author

Chiarini, Giovanni, Mariani, Silvia, Schaefer, Anne-Kristin, van Bussel, Bas C. T., Di Mauro, Michele, Wiedemann, Dominik, Saeed, Diyar, Pozzi, Matteo, Botta, Luca, Boeken, Udo, Samalavicius, Robertas, Bounader, Karl, Hou, Xiaotong, Bunge, Jeroen J. H., Buscher, Hergen, Salazar, Leonardo, Meyns, Bart, Herr, Daniel, Matteucci, Sacha, Sponga, Sandro, Ramanathan, Kollengode, Russo, Claudio, Formica, Francesco, Sakiyalak, Pranya, Fiore, Antonio, Camboni, Daniele, Raffa, Giuseppe Maria, Diaz, Rodrigo, Wang, I-wen, Jung, Jae-Seung, Belohlavek, Jan, Pellegrino, Vin, Bianchi, Giacomo, Pettinari, Matteo, Barbone, Alessandro, Garcia, José P., Shekar, Kiran, Whitman, Glenn J. R., and Lorusso, Roberto

Published
2024
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19. Correction: Conservative or liberal oxygen targets in patients on venoarterial extracorporeal membrane oxygenation

Author

Burrell, Aidan, Bailey, Michael J., Bellomo, Rinaldo, Buscher, Hergen, Eastwood, Glenn, Forrest, Paul, Fraser, John F., Fulcher, Bentley, Gattas, David, Higgins, Alisa M., Hodgson, Carol L., Litton, Edward, Martin, Emma-Leah, Nair, Priya, Ng, Sze J., Orford, Neil, Ottosen, Kelly, Paul, Eldho, Pellegrino, Vincent, Reid, Liadain, Shekar, Kiran, Totaro, Richard J., Trapani, Tony, Udy, Andrew, Ziegenfuss, Marc, and Pilcher, David

Published
2024
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25. Performance of Risk Assessment Models for VTE in Patients Who Are Critically Ill Receiving Pharmacologic Thromboprophylaxis: A Post Hoc Analysis of the Pneumatic Compression for Preventing VTE Trial

Author

Al-Dorzi, Hasan M., Arishi, Hatim, Al-Hameed, Fahad M., Burns, Karen E.A., Mehta, Sangeeta, Jose, Jesna, Alsolamy, Sami J., Abdukahil, Sheryl Ann I., Afesh, Lara Y., Alshahrani, Mohammed S., Mandourah, Yasser, Almekhlafi, Ghaleb A., Almaani, Mohammed, Al Bshabshe, Ali, Finfer, Simon, Arshad, Zia, Khalid, Imran, Mehta, Yatin, Gaur, Atul, Hawa, Hassan, Buscher, Hergen, Lababidi, Hani, Al Aithan, Abdulsalam, Al-Dawood, Abdulaziz, and Arabi, Yaseen M.

Published
2025
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26. Strategies for Antithrombotic Management During Non-cardiac Arterial Procedures: Results of the International ACTION Survey

Author

Arendt, Charlotte, de Borst, Gert J., Busch, Albert, Caradu, Caroline, Croo, Alexander, Dabravolskaité, Vaiva, Darwish, Mariam, D'Oria, Mario, Ebben, Harm P., Enzmann, Florian, Ghulam, Qasam M., Gombert, Alexander, Gratl, Alexandra, Johannesdottir, Bergros K., Karelis, Angelos, Kiernan, Aoife, Kukulski, Leszek, Lareyre, Fabien, e Melo, Ryan Gouveia, Møller, Cecilie Markvard, Doukas, Panagiotis, Patelis, Nikolaos, Spanos, Konstantinos, Spath, Paolo, Teraa, Martin, Tran, Bich L., Zielasek, Christian, Zlatanovic, Petar, Yeung, Kak Khee, Roosendaal, Liliane C., Blankensteijn, Jan D., Buscher, Hessel C.J.L., Eefting, Daniël, Fioole, Bram, Heyligers, Jan M.M., Hissink, Rutger J., Hoencamp, Rigo, Koelemay, Mark J.W., Kropman, Rogier H.J., van der Laan, Lijckle, Lemson, Susan, Pierie, Maurice E.N., Reichmann, Boudewijn L., Reijnen, Michel M.P.J., van Schaik, Jan, Schlejen, Peter M., Teijink, Joep A.W., Willigendael, Edith M., Zeebregts, Clark J., Wiersema, Arno M., Hoebink, Max, and Jongkind, Vincent

Published
2025
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29. Factors Associated with Pediatric Drowning-Associated Lung Injury

Author

Shenoi, Rohit P., Crowe, James E., Dorfman, Scott R., Bergmann, Kelly R., Mistry, Rakesh D., Hariharan, Selena, Tavarez, Melissa M., Wai, Shannon, Jones, Jennifer L., Langhan, Melissa L., Ward, Caleb E., McCallin, Tracy E., Sethuraman, Usha, Shah, Nipam, Mendez, Donna, Wolpert, Katherine H., Santos-Malave, Claritsa, Ruttan, Timothy, Quayle, Kimberly S., Okada, Pamela, Bubolz, Beth, Buscher, James F., McKee, Ryan, Mangold, Karen, Wendt, Wendi-Jo, Thompson, Amy D., Hom, Jeffrey, Brayer, Anne F., Blackstone, Mercedes M., Brennan, Courtney, Russell, W. Scott, Agarwal, Maneesha, Khanna, Kajal, Louie, Jeff, Sheridan, David, and Camp, Elizabeth A.

Published
2025
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31. Crosstalk in image plane beam combination for optical interferometers

Author

Mortimer, Daniel J. and Buscher, David F.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Optics
Abstract

Image plane beam combination in optical interferometers multiplexes the interference fringes from multiple baselines onto a single detector. The beams of starlight are arranged in a non-redundant pattern at the entrance of the combiner so that the signal from each baseline can be separated from one another in the frequency domain. If the signals from different baselines overlap in the frequency domain, this can give rise to a systematic error in the fringe measurements known as baseline crosstalk. In this paper we quantify crosstalk arising from the combination of atmospheric seeing and beam propagation over distances of order hundreds of metres. We find that in idealised conditions atmospheric wavefront errors and beam propagation do not contribute to crosstalk. However, when aperture stops are included in the optical beam train we observe that wavefront errors can result in squared visibility errors arising from crosstalk as high as $\Delta V^{2} = 6.6\times10^{-3}$ under realistic observing conditions., Comment: 15 pages, 23 figures, accepted for publication in MNRAS

Published
2022
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32. Hospital-level volume in extracorporeal membrane oxygenation cases and death or disability at 6 months

Author

Hodgson, Carol, Fulcher, Bentley, Linke, Natalie, Board, Jasmin, Buhr, Heidi, Cooper, Jamie, Fraser, John, Bernard, Stephen, Brodie, Daniel, Pilcher, David, Fan, Eddy, Udy, Andrew, Gattas, David, Pellegrino, Vincent, Hopper, Ingrid, Litton, Ed, Nair, Priya, Orford, Neil, Parke, Rachael, Stub, Dion, Higgins, Alisa M., Burrell, Aidan, McGuiness, Shay, Reddi, Benjamin, Trapani, Tony, Huckson, Sue, Anderson, Shannah, Dicker, Craig, Jones, Annalie, Martin, Emma, McCracken, Phoebe, Sheldrake, Jayne, Vallance, Shirley, Young, Meredith, Bellomo, Rinaldo, Eastwood, Glenn, Hilton, Andrew, Peck, Leah, Dyett, John, Hunter, Stephanie, Liew, Cheelim, Heard, Joshua, Lijo, Sebastian, Nourse, Mary, Rai, Sumeet, Singh, Manoj, Veerendra, Hemanth, Xu, Tina, Barrett, Jonathan, Brooks, Kyle, Hanlon, Gabrielle, Allen, Chris, Bizzell, Samantha, Eroglu, Ege, Palermo, Annamaria, Pellicano, Susan, Bersten, Andrew, Bihari, Shailesh, Brown, Julia, Comerford, Sharon, Grear, Laura, McIntyre, Joanne, Jin, Xia, Wiersema, Ubbo, Figures, Dee, Gough, Maimoonbe, Pitman, Julie, Tallott, Mandy, Winearls, James, Brieva, Jorge, Hopkins, Madeleine, Jayarman, Nanda, Poulter, Amber-Louise, Quarello, Kate, Aneman, Anders, Austin, Danielle, McCanny, Peter, Miller, Jennene, Murfin, Brendan, Cox, Yolanda, Guo, Stephanie, Shehabi, Yayha, Brown, Amanda, Butt, Pamela, Bushell, Rachel, Lavana, Jayshree, Lockwood, Dawn, Pearce, India, Salt, Gavin, Thambiraj, Solomon, Howard, Meg, Joyce, Chris, Meyer, Jason, Walsham, James, Brown, Nerissa, Glasby, Kathleen, O'Connor, Stephanie, Rivett, Justine, Yap, Joannies, Bristow, Debra, Pincus, Jason, Stuart, Janine, Anstey, James, Barge, Deborah, Butler, Menoly, Gebbie, Bradley, Bass, Frances, Janin, Pierre, Hammond, Naomi, Potger, Kieron, Yarad, Elizabeth, Carey, Ruaidhri, Coles, Jennifer, Totaro, Richard, Anstey, Matthew, Endemann, Anthadene, Hardy, Sarah, Popa, Roxana, Richards, Stephen, Rock, Lara, Wibrow, Bradley, Barbazza, Leanne, Dixon, Barry, Holmes, Jennifer, Hurune, Patricia, O'Brien, Yvette, Buscher, Hergen, Newman, Sally, Reynolds, Claire, Henson, Gail, Senthuran, Siva, Win, April, Breguet, Samantha, Horton, Michelle, McCaffrey, Joe, Trickey, Jemma, Bannerjee, Ashoke, Davidson, Benjamin, Joy, Jenyfer, Kong, Jing, Ertugrul, Atacan D., Neto, Ary Serpa, Fulcher, Bentley J., Charles-Nelson, Anaïs, Bailey, Michael, Burrell, Aidan J.C., Board, Jasmin V., Cooper, D. James, Fraser, John F., Gattas, David J., Hopper, Ingrid K., Linke, Natalie J., Litton, Edward, McGuinness, Shay P., Parke, Rachael L., Pellegrino, Vincent A., Pilcher, David V., Udy, Andrew A., Reddi, Benjamin A.J., Trapani, Tony V., and Hodgson, Carol L.

Published
2024
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35. Features and outcomes of female and male patients requiring postcardiotomy extracorporeal life support

Author

Heuts, Samuel, Conci, Luca, Szalkiewicz, Philipp, Lehmann, Sven, Khalil, Jawad, Obadia, Jean-Francois, Kalampokas, Nikolaos, Jankuviene, Agne, Flecher, Erwan, Reis Miranda, Dinis Dos, Sriranjan, Kogulan, Herr, Daniel, Vedadi, Nazli, Di Eusanio, Marco, MacLaren, Graeme, Ramanathan, Kollengode, Costetti, Alessandro, Schmid, Chistof, Castillo, Roberto, Grus, Tomas, Mikulenka, Vladimir, Solinas, Marco, Mariani, Silvia, Ravaux, Justine Mafalda, van Bussel, Bas C.T., De Piero, Maria Elena, van Kruijk, Sander M.J., Schaefer, Anne-Kristin, Wiedemann, Dominik, Saeed, Diyar, Pozzi, Matteo, Loforte, Antonio, Boeken, Udo, Samalavicius, Robertas, Bounader, Karl, Hou, Xiaotong, Bunge, Jeroen J.H., Buscher, Hergen, Salazar, Leonardo, Meyns, Bart, Mazzeffi, Michael A., Matteucci, Sacha, Sponga, Sandro, Sorokin, Vitaly, Russo, Claudio, Formica, Francesco, Sakiyalak, Pranya, Fiore, Antonio, Camboni, Daniele, Raffa, Giuseppe Maria, Diaz, Rodrigo, Wang, I-wen, Jung, Jae-Seung, Belohlavek, Jan, Pellegrino, Vin, Bianchi, Giacomo, Pettinari, Matteo, Barbone, Alessandro, Garcia, José P., Shekar, Kiran, Whitman, Glenn J.R., and Lorusso, Roberto

Published
2024
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36. Stroke in critically ill patients with respiratory failure due to COVID-19: Disparities between low-middle and high-income countries

Author

Al-Dabbous, Tala, Alfoudri, Huda, Shamsah, Mohammed, Alfroukh, Khadeejeh, Bairmani, Zinah Aqeel Abdulzahra, Khalid, Khalid Jehad, Abukhalaf, Salsabeel M.A., Hadhoud, Mohammed Maher, Abdrabo, Mohamed Fouad, Fathi, Mohamed, Alhouri, Hasan, Shahla, Dr Hamza, Alhadad, Qamrah, Hanan, Matly, Elapavaluru, Subbarao, Berg, Ashley, Horn, Christina, Abdelhalim, Ahmed Reda Mohamed Elsayed, Amer, Amro Essam, Elnaggar, Cinderella Omar Rageh, Hassan, Ahmed Ayman, Abdelaziz, Ali, Abdelhalim, Mohamed, Orabi, Yehia Samir Shaaban Aly, Alaraji, Zinah A., Muhaisen, Mo'nes R., Almasri, Lana, Mustafa, Dana, Hamdan, Shaher, Al-Saba'a, Yousef, Dalloul, Zaina, Alkahlout, Mohammed, Jaber, Hamza, Aldabbourosama, Osama, Abdalhadi, Alaa Abdalfattah, Hussein, Aliae AR Mohamed, Emad, Zarief Kamel, Khaled, Sarah, Mohamed, Nouralsabah, Hassanin, Ebtisam, Hamdi, Abdelhafeez, Gamal, May, Emad, Ahmed, Ragab, Abdelrahman, Azizeldin, Mohammed G, Hamza, Almthani, Omer, Alsarrah Ali Mohammed, Fadl alla, Asgad Osman Abdalla, Abdallahrs, Asia Atif Abdelrahman, Eltayeb, Aml Ahmed, Alhasan, Maali khalid mohamed abdalla, Abdelgaum, Esraa Hassan, Ahmed, Aya Mustafa, Abdulbaqi, Lamees Adil, Mohammedelhassan, Omer Abdullah, Ahmed, Musaab Mohammed Mohammed, Ali, Maha TagElser Mohammed, Mayasi, Yunis, Schroll, Stephan, Meyer, Dan, Velazco, Jorge, Ploskanych, Ludmyla, Fikes, Wanda, Bagewadi, Rohini, Dao, Marvin, White, Haley, Laviena, Alondra Berrios, Ehlers, Ashley, Shalabi-McGuire, Maysoon, Witt, Trent, Grazioli, Lorenzo, Lorini, Luca, Grandin, E. Wilson, Nunez, Jose, Reyes, Tiago, O'Briain, Diarmuid, Hunter, Stephanie, Ramanan, Mahesh, Affleck, Julia, Veerendra, Hemanth Hurkadli, Rai, Sumeet, Russell-Brown, Josie, Nourse, Mary, Joseph, Mark, Mitchell, Brook, Tenzer, Martha, Abe, Ryuzo, Cho, Hwa Jin, Jeong, In Seok, Rahman, Nadeem, Kakar, Vivek, Tamimi, Ahmed, Zabalawi, Diala, Elhennawi, Mohamed, Ghisulal, Praveen, Malik, Sadaf, Brozzi, Nicolas, Mehkri, Omar, Krishnan, Sudhir, Duggal, Abhijit, Houltham, Stuart, Graf, Jerónimo, Diaz, Roderigo, Orrego, Roderigo, Delgado, Camila, González, Joyce, Sanchez, Maria Soledad, Piagnerelli, Michael, Sarrazin, Josefa Valenzuela, Zabert, Prof. Gustavo, Espinosa, Lucio, Delgado, Paulo, Delgado, Victoria, Rincón, Diego Fernando Bautista, Yanten, Angela Maria Marulanda, Duque, Melissa Bustamante, Brodie, Daniel, Abouelmagd, Khaled, Elhazmi, Alyaa, Al-Hudaib, Abdullah, Javidfar, Jeff, Callahan, Maria, Dong, Andy, D'Orleans, Charles Crepy, Taufik, M. Azhari, Wardoyo, Elizabeth Yasmin, Gunawan, Margaretha, Trisnaningrum, Nurindah S, Irawany, Vera, Rayhan, Muhammad, Panigada, Mauro, Pesenti, Antonio, Zanella, Alberto, Grasselli, Giacomo, Colombo, Sebastiano, Martinet, Chiara, Florio, Gaetano, Antonelli, Massimo, Carelli, Simone, Grieco, Domenico L., Asaki, Motohiro, Hoshino, Kota, Salazar, Leonardo, Monsalve, Mary Alejandra Mendoza, Laffey, John, McNicholas, Bairbre, Cosgrave, David, Atif, Minha, Qutishat, Fadi, Laffey, Caoimhe, Van Der Walt, Michaeal, McCaffrey, Joseph, Bone, Allison, Trickey, Jemma, Horton, Michelle, Pearce, Stephanie, Salerno, Tania, Mohamed, Akram, Alhaddad, Salem, Bakeer, Baliad, Haitam, Shames, Shalabi, Laila, Ahmed, Mohammed Abodina, Hakeem, Yusuff, Winearls, James, Tallott, Mandy, Thomson, David, Joubert, Ivan, Arnold-Day, Christel, Piercy, Jenna, Smit, Richard van Zyl, Miller, Malcom, Seymour, Lisa, van Heyningen, Francois, Teyangesikayi, Gilbert, Fredericks, David, Hssain, Ali Ait, Aliudin, Jeffrey, Alqahtani, Al-Reem, Mohamed, Khoulod, Mohamed, Ahmed, Tan, Darwin, Villanueva, Joy, Zaqout, Ahmed, Labib, Ahmed, Kurtzman, Ethan, Ademi, Arben, Dobrita, Ana, Aoudi, Khadija El, Segura, Juliet, Giwangkancana, Gezy, Ohshimo, Shinichiro, Osatnik, Javier, Joosten, Anne, Torres, Antoni, Yang, Minlan, Motos, Ana, Luna, Carlos, Arancibia, Francisco, Williams, Virginie, Noel, Alexandre, Luque, Nestor, Fantini, Marina, García, Ruth Noemi Jorge, Alvarez, Enrique Chicote, Greti, Anna, Ceccato, Adrian, Sanchez, Angel, Vazquez, Ana Loza, Roche-Campo, Ferran, Franch-Llasat, Diego, Tuazon, Divina, Amato, Marcelo, Cassimiro, Luciana, Pola, Flavio, Ribeiro, Francis, Fonseca, Guilherme, Dalton, Heidi, Desai, Mehul, Osborn, Erik, Deeb, Hala, Arcadipane, Antonio, Martucci, Gennaro, Panarello, Giovanna, Vitiello, Stefano, Bianco, Claudia, Occhipinti, Giovanna, Rossetti, Matteo, Cuffaro, Raffaele, Siddig, Nidhal, Cho, Sung-Min, Whitman, Glenn, Sayed, Marwan El, Mokhtar, Walaa, El-Shenawy, Eslam, Shimizu, Hiroaki, Moriyama, Naoki, Kim, Jae-Burm, Kitamura, Nobuya, Gebauer, Johannes, Yokoyama, Toshiki, Al-Fares, Abdulrahman, Buabbas, Sarah, Alamad, Esam, Alawadhi, Fatma, Alawadi, Kalthoum, Khalefa, Mohamed Ahmed, Ajeel, Nourah Ahmad Abdulaziz Al, Aly, Mohammad Fathy, Al-Saleh, Abdullah, Naanouh, Abdullah, Elshourbgy, Alaa Mohammed, Gad, Mohamed Yousef, ElRazaz, Rania Mohamed, Khadadah, Ibrahim, Almumin, Ahmed Mohammed, Altarakma, Hala, Albannay, Hasan, Alsaleh, Mohammed Kh, Radwan, Mahmoud Saad Abdallah, Saadallah, Islam Ahmed, Tanaka, Hiro, Hashimoto, Satoru, Yamazaki, Masaki, Oh, Tak-Hyuck, Epler, Mark, Forney, Cathleen, Kruse, Louise, Feister, Jared, Williamson, Joelle, Grobengieser, Katherine, Gnall, Eric, Golden, Sasha, Caroline, Mara, Shapiro, Timothy, Karaj, Colleen, Thome, Lisa, Sher, Lynn, Vanderland, Mark, Welch, Mary, McDermott, Sherry, Brain, Matthew, Mineall, Sarah, Unwin, Maria, Chen, Lixian, Trezise, Tarnya, McKeon, Laurie, Kimura, Dai, Brazzi, Luca, Sales, Gabriele, Montrucchio, Giorgia, Ogston, Tawnya, Nagpal, Dave, Fischer, Karlee, Lorusso, Roberto, van Bussell, Bas, De Piero, Maria Elena, Mariani, Silvia, Rangappa, Dr Rajavardhan, Shetty, Dr Rajesh Mohan, P, Sujin Rai, Ganesan, Argin, Tharwat, Samar, Esperatti, Mariano, Fuentes, Nora Angélica, Gonzalez, Maria Eugenia, Carton, Edmund G., Sen, Ayan, Palacios, Amanda, Rainey, Deborah, Samoukoviv, Gordan, Campisi, Josie, Durham, Lucia, Neumann, Emily, Seefeldt, Cassandra, Falcucci, Octavio, Emmrich, Amanda, Guy, Jennifer, Johns, Carling, Potzner, Kelly, Zimmermann, Catherine, Espinal, Angelia, Buchtele, Nina, Schwameis, Michael, Korhnfehl, Andrea, Brock, Roman, Staudinger, Thomas, Stecher, Stephanie-Susanne, Barnikel, Michaela, Antón, Sófia, Pawlikowski, Alexandra, Zaaqoq, Akram, Galloway, Lan Anh, Merley, Caitlin, Muftah, Mohamed, Nichol, Alistair, Csete, Marc, Quesada, Luisa, Saba, Isabela, Kasugai, Daisuke, Hiraiwa, Hiroaki, Tanaka, Taku, Marwali, Eva, Purnama, Yoel, Dewayanti, Santi Rahayu, Ardiyan, Juzar, Dafsah Arifa, Siagian, Debby, Chen, Yih-Sharng, Aldhalia, Amer, Ogino, Mark, Nasa, Prashant, Matthew, Christina, Majeed, Nimisha Abdul, Hafez, Wael, Ratsep, Indrek, Post, Andra-Maris, Sillaots, Piret, Krund, Anneli, Lehiste, Merili-Helen, Lepik, Tanel, Manetta, Frank, Mihelis, Effe, Sarmiento, Iam Claire, Narasimhan, Mangala, Varrone, Michael, Komats, Mamoru, Garcia-Diaz, Julia, Harmon, Catherine, Satyapriya, S. Veena, Bhatt, Amar, Mokadam, Nahush A., Uribe, Alberto, Gonzalez, Alicia, Shi, Haixia, McKeown, Johnny, Pasek, Joshua, Fiorda, Juan, Echeverria, Marco, Moreno, Rita, Zakhary, Bishoy, Cavana, Marco, Cucino, Alberto, Foti, Giuseppe, Giani, Marco, Fumagalli, Benedetta, Chiumello, Davide, Castagna, Valentina, Dell'Amore, Andrea, Navalesi, Paolo, Shum, Hoi-Ping, Vuysteke, Alain, Usman, Asad, Acker, Andrew, Smood, Benjamin, Mergler, Blake, Sertic, Federico, Subramanian, Madhu, Sperry, Alexandra, Rizer, Nicolas, Burhan, Erlina, Rasmin, Menaldi, Akmal, Ernita, Sitompul, Faya, Lolong, Navy, Naivedh, Bhat, Erickson, Simon, Barrett, Peter, Dean, David, Daugherty, Julia, Loforte, Antonio, Khan, Irfan, Quraishi, Mohammed Abraar, DeSantis, Olivia, Nasrallah, Ahmad, So, Dominic, Kandamby, Darshana, Mandei, Jose M., Natanael, Hans, YudhaLantang, Eka, Lantang, Anastasia, Wijaya, Surya Oto, Jung, Anna, Ng, George, Ng, Wing Yiu, Ng, Pauline Yeung, Fang, Shu, Tabah, Alexis, Ratcliffe, Megan, Duroux, Maree, Alajeeli, Ahmed, Tarhabat, Ali, Adachi, Shingo, Nakao, Shota, Blanco, Pablo, Prieto, Ana, Sánchez, Jesús, Nicholson, Meghan, Butt, Warwick, Serratore, Alyssa, Delzoppo, Carmel, Janin, Pierre, Yarad, Elizabeth, Totaro, Richard, Coles, Jennifer, Pujo, Bambang, Balk, Robert, Vissing, Andy, Kapania, Esha, Hays, James, Fox, Samuel, Yantosh, Garrett, Mishin, Pavel, Adem, Safia, Yuliarto, Saptadi, Santoso, Kohar Hari, Djajalaksana, Susanthy, Fatoni, Arie Zainul, Fukuda, Masahiro, Liu, Keibun, Pelosi, Paolo, Battaglini, Denise, Robba, Chiara, Jiménez, Juan Fernando Masa, Bastos, Diego, Gaião, Sérgio, Rusmawatiningtyas, Desy, Cho, Young-Jae, Lee, Su Hwan, Kawasaki, Tatsuya, Munshi, Laveena, Sakiyalak, Pranya, Nitayavardhana, Prompak, Elagili, Mohamed Bashir, Salem, Talat Ahmed Abu, Seitz, Tamara, Arora, Rakesh, Kent, David, Marino, Daniel, Parwar, Swapnil, Cheng, Andrew, Miller, Jennene, Fujitani, Shigeki, Shimizu, Naoki, Madhok, Jai, Owyang, Clark, Buscher, Hergen, Reynolds, Claire, Abdurraouf, Abusalama, Kredan, Ali Abdulnasir, Haddud, Abdurrahman, Moharam, Saad, Maasikas, Olavi, Beljantsev, Aleksan, Mihnovits, Vladislav, Akimoto, Takako, Aizawa, Mariko, Horibe, Kanako, Onodera, Ryota, Hodgson, Carol, Burrell, Aidan, Young, Meredith, George, Timothy, Shekar, Kiran, McGuinness, Niki, Irvine, Lacey, Flynn, Brigid, Almjersah, Abdulrahman, Bakri, Ashraf, Endo, Tomoyuki, Sugiyama, Kazuhiro, Shimizu, Keiki, Fan, Eddy, Exconde, Kathleen, Ichiba, Shingo, Binnawara, Muhannud, Embarek, Hussein, Lussier, Leslie, Lotz, Gösta, Malfertheiner, Maximilian, Maier, Lars, Dreier, Esther, Kusumastuti, Neurinda Permata, McCloskey, Colin, Dabaliz, Al-Awwab, Elshazly, Tarek B, Smith, Josiah, Szuldrzynski, Konstanty S., Bielański, Piotr, Wille, Keith, Murthy, Srinivas, Parhar, Ken Kuljit S., Fiest, Kirsten M., Codan, Cassidy, Shahid, Anmol, Fayed, Mohamed, Evans, Timothy, Garcia, Rebekah, Gutierrez, Ashley, Song, Tae, Rose, Rebecca, Bennett, Suzanne, Richardson, Denise, Peek, Giles, Arora, Lovkesh, Rappapport, Kristina, Rudolph, Kristina, Sibenaller, Zita, Stout, Lori, Walter, Alicia, Herr, Daniel, Vedadi, Nazli, Bartlett, Robert, Thompson, Shaun, Hoffman, Julie, Ying, Xiaonan, Williams, Bailey, Sanchez, Emely, Akwani, Chika, Kennedy, Ryan, Elhadi, Muhammed, Griffee, Matthew, Mone, Mary, Ciullo, Anna, Kida, Yuri, Roca, Ricard Ferrer, Riera, JordI, Contreras, Sofia, Alegre, Cynthia, Kay, Christy, Fischer, Irene, Renner, Elizabeth, Taniguci, Hayato, Lee, James, Plotkin, Daniel, Citarella, Barbara Wanjiru, Merson, Laura, Hartley, Emma, Lubis, Bastian, Ikeyama, Takanari, Mortada, Alshaymaa, Alhamad, Ameen, Mechi, Ahmed, Nadar, Islam Mohsen Ali Mohamed Hassan, Alyasiri, Mohammed Saleh, Elsaid, Muhammed Zainab Alghali, Bhaskar, Balu, Jung, Jae-Seung, McGuinness, Shay, Eastwood, Glenn, Marta, Sandra Rossi, Guarracino, Fabio, Gerle, Stacy, Coxon, Emily, Claro, Bruno, Aldressi, Wafa, Eleisawy, Mahmoud, Osama, Hasnaa, Loverde, Daniel, Patil, Namrata, Parrini, Vieri, McBride, Angela, Negaard, Kathryn, Ratsch, Angela, Abdelaziz, Ahmad, Uribe, Juan David, Peris, Adriano, Sanders, Mark, Emerson, Dominic, Kamal, Muhammad, Faida, Hamza, Povoa, Pedro, Francis, Roland, Cherif, Ali, Joseph, Sunimol, Nardo, Matteo Di, Heard, Micheal, Kyle, Kimberly, Blackwell, Ray A, OUYAHIA, Amel, Biston, Patrick, Jeong, Hye Won, Smith, Reanna, Prawira, Yogi, Garcia, Arturo Huerta, Salterain, Nahikari, Meyns, Bart, Elnasser, Muhammed, Moreno, Marsha, Walia, Rajat, Mehta, Amit, Schweda, Annette, Williams, Melissa, Amkhatirah, Emad, Kim, Kyung Hoon, Assad, Alexandra, Giraldo, Estefania, Karolak, Wojtek, Balik, Martin, Pocock, Elizabeth, Gajkowski, Evan, Bedair, Mohamed, Masafumi, Kanamoto, Barrett, Nicholas, Takeyama, Yoshihiro, Park, Sunghoon, Amin, Faizan, Andriyani, Fina Meilyana, Sudakevych, Serhii, Schnur, Janos, Vera, Magdalena, Cornejo, Rodrigo, Schwarz, Patrícia, Mardini, Ana Carolina, de Paula, Thais, Neto, Ary Serpa, Villoldo, Andrea, Colafranceschi, Alexandre Siciliano, Iglesias, Alejandro Ubeda, Granjean, Juan, Melro, Lívia Maria Garcia, Romualdo, Giovana Fioravante, Gaia, Diego, Souza, Helmgton, Galas, Filomena, Mendiluce, Rafael Máñez, Sosa, Alejandra, Martinez, Ignacio, Kurosawa, Hiroshi, Almoshantaf, Mohammad Badr, Salgado, Juan, Hugi-Mayr, Beate, Charbonneau, Eric, Barzilai, Vitor Salvatore, Monteiro, Veronica, de Souza, Rodrigo Ribeiro, Harper, Michael, Suzuki, Hiroyuki, Adams, Celina, Brieva, Jorge, Khamees, Almu'atasim, Graige, Fadi, Supriatna, Moh, Nyale, George, Eltatar, Faisal Saleem, Fatani, Jihan, Baeissa, Husam, Masri, Ayman AL, Rabie, Ahmed, Hui, Mok Yee, Yamane, Masahiro, Jung, Hanna, Margaret, Ayorinde Mojisola, Nacpil, Newell, Ruck, Katja, Bakken, Rhonda, Jara, Claire, Felton, Tim, Berra, Lorenzo, Shah, Bobby, Chakraborty, Arpan, Cardona, Monika, Capatos, Gerry, Akkanti, Bindu, Orija, Abiodun, Jain, Harsh, Ito, Asami, Housni, Brahim, Low, Sennen, Iihara, Koji, Chavez, Joselito, Ramanathan, Kollengode, Zabert, Gustavo, Naidoo, Krubin, Seppelt, Ian, VanDyk, Marlice, MacDonald, Sarah, McGregor, Randy, Siebenaler, Teka, Flynn, Hannah, Lofton, Kristi, Aokage, Toshiyuki, Kvirkvelia, Bakar, Shigemitsu, Kazuaki, Moscatelli, Andrea, Fiorentino, Giuseppe, Baumgaertel, Matthias, Mba, Serge Eddy, Assy, Jana, Hutahaean, Amelya, Roush, Holly, Sichting, Kay A, Alessandri, Francesco, Burns, Debra, Alkhubouli, Taha Husayn, Salt, Gavin, Garabedian, Carl P., Millar, Jonathan, Sim, Malcolm, Mattke, Adrian, McAuley, Danny, Tadili, Jawad, Frenzel, Tim, Abuleil, Amro, Bar-Lavie, Yaron, Ortiz, Aaron Blandino, Stone, Jackie, Attokaran, Antony, Farquharson, Michael, Patel, Brij, Gunning, Derek, Baillie, Kenneth, Watson, Pia, Tamai, Kenji, Saaid, Ayoub, Anania, Pasquale, Sajinadiyasa, Gede Ketut, Kanyawati, Dyah, Salgado, Marcello, Sassine, Assad, Yudo, Bhirowo, McCaul, Scott, Lee, Bongjin, Lee, Sang Min, Afek, Arnon, Fattouh, Shimaa E, Iwashita, Yoshiaki, Fadlalmola, Hammad, Semedi, Bambang Pujo, Mansour, Noureldin Mohamed, Metiva, Jack, Van Belle, Nicole, Martin-Loeches, Ignacio, Al-Sadawi, Dr Mohammed, Kirakli, Cenk, Shimaa, Al-Touny, Ivatt, Lenny, Woon, Chia Yew, Kang, Hyun Mi, Smith, Timothy, James, Erskine, Al-Rawas, Nawar, Iwasaki, Yudai, Ashour, Hamza, King-Chung, Kenny Chan, Gudzenko, Vadim, Taccone, Fabio, Perdhana, Fajar, Lamarche, Yoan, Ribeiro, Joao Miguel, Bradic, Nikola, Van den Bossche, Klaartje, Lansink, Oude, Singh, Gurmeet, Debeuckelaere, Gerdy, Stelfox, Henry T., Yi, Cassia, Elia, Jennifer, Tribble, Thomas, Shankar, Shyam, Padmanabhan, Raj, Hallinan, Bill, Paoletti, Luca, Leyva, Yolanda, Fykuda, Tatuma, Badulak, Jenelle, Koch, Jillian, Janowaik, Lisa, Hackman, Amy, Hernandez, Deb, Osofsky, Jennifer, Donadello, Katia, Lawang, Aizah, Fine, Josh, Davidson, Benjamin, Vazquez, Andres Oswaldo Razo, Abdehaleem, Ibrahim, Kelly, Thu-Lan, Fanning, Jonathon, Premraj, Lavienraj, Porto, Diego Bastos, White, Nicole M., Bassi, Gianluigi Li, Suen, Jacky, and Fraser, John F.

Published
2024
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40. The vehicle routing problem with drones and drone speed selection

Author

Tamke, Felix and Buscher, Udo

Subjects
Computer Science - Discrete Mathematics, Mathematics - Optimization and Control, 90B06 (Primary) 90C11 (Secondary)
Abstract

Joint parcel delivery by trucks and drones has enjoyed significant attention for some time, as the advantages of one delivery method offset the disadvantages of the other. This paper focuses on the vehicle routing problem with drones and drone speed selection (VRPD-DSS), which considers speed-dependent energy consumption and drone-charging in detail. For this purpose, we formulate a comprehensive mixed-integer problem that aims to minimize the operational costs consisting of fuel consumption costs of the trucks, labor costs for the drivers, and energy costs of the drones. The speed at which a drone performs a flight must be selected from a discrete set. We introduce preprocessing steps to eliminate dominated speeds for a flight to reduce the problem size and use valid inequalities to accelerate the solution process. The consideration of speed-dependent energy consumption leads to the fact that it is advisable to perform different flights at different speeds and not to consistently operate a drone at maximum speed. Instead, drone speed should be selected to balance drone range and speed of delivery. Our extensive computational study of a rural real-world setting shows that, by modeling energy consumption realistically, the savings in operational costs compared to truck-only delivery are significant but smaller than those identified in previously published work. Our analysis further reveals that the greatest savings stem from the fact that overall delivery time decreases compared to truck-only delivery, allowing costly truck-driver time to be reduced. The additional energy costs of the drone, however, are largely negligible., Comment: 36 pages, 6 figures, submitted to Computers & Operations Research

Published
2021

41. Detection of a particle shower at the Glashow resonance with IceCube

Author

IceCube Collaboration, Aartsen, M. G., Abbasi, R., Ackermann, M., Adams, J., Aguilar, J. A., Ahlers, M., Ahrens, M., Alispach, C., Amin, N. M., Andeen, K., Anderson, T., Ansseau, I., Anton, G., Argüelles, C., Auffenberg, J., Axani, S., Bagherpour, H., Bai, X., V., A. Balagopal, Barbano, A., Barwick, S. W., Bastian, B., Basu, V., Baum, V., Baur, S., Bay, R., Beatty, J. J., Becker, K. -H., Tjus, J. Becker, BenZvi, S., Berley, D., Bernardini, E., Besson, D. Z., Binder, G., Bindig, D., Blaufuss, E., Blot, S., Bohm, C., Böser, S., Botner, O., Böttcher, J., Bourbeau, E., Bourbeau, J., Bradascio, F., Braun, J., Bron, S., Brostean-Kaiser, J., Burgman, A., Buscher, J., Busse, R. S., Campana, M. A., Carver, T., Chen, C., Cheung, E., Chirkin, D., Choi, S., Clark, B. A., Clark, K., Classen, L., Coleman, A., Collin, G. H., Conrad, J. M., Coppin, P., Correa, P., Cowen, D. F., Cross, R., Dave, P., De Clercq, C., DeLaunay, J. J., Dembinski, H., Deoskar, K., De Ridder, S., Desai, A., Desiati, P., de Vries, K. D., de Wasseige, G., de With, M., DeYoung, T., Dharani, S., Diaz, A., Díaz-Vélez, J. C., Dujmovic, H., Dunkman, M., DuVernois, M. A., Dvorak, E., Ehrhardt, T., Eller, P., Engel, R., Evenson, P. A., Fahey, S., Fedynitch, A., Fazely, A. R., Felde, J., Fienberg, A. T., Filimonov, K., Finley, C., Fischer, L., Fox, D., Franckowiak, A., Friedman, E., Fritz, A., Gaisser, T. K., Gallagher, J., Ganster, E., Garrappa, S., Gerhardt, L., Ghadimi, A., Glauch, T., Glüsenkamp, T., Goldschmidt, A., Gonzalez, J. G., Goswami, S., Grant, D., Grégoire, T., Griffith, Z., Griswold, S., Gündüz, M., Haack, C., Hallgren, A., Halliday, R., Halve, L., Halzen, F., Hanson, K., Hardin, J., Haungs, A., Hauser, S., Hebecker, D., Heereman, D., Heix, P., Helbing, K., Hellauer, R., Henningsen, F., Hickford, S., Hignight, J., Hill, C., Hill, G. C., Hoffman, K. D., Hoffmann, R., Hoinka, T., Hokanson-Fasig, B., Hoshina, K., Huang, F., Huber, M., Huber, T., Hultqvist, K., Hünnefeld, M., Hussain, R., In, S., Iovine, N., Ishihara, A., Jansson, M., Japaridze, G. S., Jeong, M., Jones, B. J. P., Jonske, F., Joppe, R., Kang, D., Kang, W., Kang, X., Kappes, A., Kappesser, D., Karg, T., Karl, M., Karle, A., Katz, U., Kauer, M., Kellermann, M., Kelley, J. L., Kheirandish, A., Kim, J., Kin, K., Kintscher, T., Kiryluk, J., Kittler, T., Klein, S. R., Koirala, R., Kolanoski, H., Köpke, L., Kopper, C., Kopper, S., Koskinen, D. J., Koundal, P., Kowalski, M., Krings, K., Krückl, G., Kulacz, N., Kurahashi, N., Kyriacou, A., Gualda, C. Lagunas, Lanfranchi, J. L., Larson, M. J., Lauber, F., Lazar, J. P., Leonard, K., Leszczyńska, A., Li, Y., Liu, Q. R., Lohfink, E., Mariscal, C. J. Lozano, Lu, L., Lucarelli, F., Ludwig, A., Lünemann, J., Luszczak, W., Lyu, Y., Ma, W. Y., Madsen, J., Maggi, G., Mahn, K. B. M., Makino, Y., Mallik, P., Mancina, S., Mariş, I. C., Maruyama, R., Mase, K., Maunu, R., McNally, F., Meagher, K., Medici, M., Medina, A., Meier, M., Meighen-Berger, S., Merz, J., Meures, T., Micallef, J., Mockler, D., Momenté, G., Montaruli, T., Moore, R. W., Morse, R., Moulai, M., Muth, P., Naab, R., Nagai, R., Naumann, U., Necker, J., Neer, G., Nguyen, L. V., Niederhausen, H., Nisa, M. U., Nowicki, S. C., Nygren, D. R., Pollmann, A. Obertacke, Oehler, M., Olivas, A., O'Murchadha, A., O'Sullivan, E., Pandya, H., Pankova, D. V., Park, N., Parker, G. K., Paudel, E. N., Peiffer, P., Heros, C. Pérez de los, Philippen, S., Pieloth, D., Pieper, S., Pinat, E., Pizzuto, A., Plum, M., Popovych, Y., Porcelli, A., Rodriguez, M. Prado, Price, P. B., Przybylski, G. T., Raab, C., Raissi, A., Rameez, M., Rauch, L., Rawlins, K., Rea, I. C., Rehman, A., Reimann, R., Relethford, B., Relich, M., Renschler, M., Renzi, G., Resconi, E., Reusch, S., Rhode, W., Richman, M., Riedel, B., Robertson, S., Roellinghoff, G., Rongen, M., Rott, C., Ruhe, T., Ryckbosch, D., Cantu, D. Rysewyk, Safa, I., Herrera, S. E. Sanchez, Sandrock, A., Sandroos, J., Santander, M., Sarkar, S., Satalecka, K., Scharf, M., Schaufel, M., Schieler, H., Schlunder, P., Schmidt, T., Schneider, A., Schneider, J., Schröder, F. G., Schumacher, L., Sclafani, S., Seckel, D., Seunarine, S., Shefali, S., Silva, M., Smithers, B., Snihur, R., Soedingrekso, J., Soldin, D., Song, M., Spiczak, G. M., Spiering, C., Stachurska, J., Stamatikos, M., Stanev, T., Stein, R., Stettner, J., Steuer, A., Stezelberger, T., Stokstad, R. G., Strotjohann, N. L., Stürwald, T., Stuttard, T., Sullivan, G. W., Taboada, I., Tenholt, F., Ter-Antonyan, S., Terliuk, A., Tilav, S., Tollefson, K., Tomankova, L., Tönnis, C., Toscano, S., Tosi, D., Trettin, A., Tselengidou, M., Tung, C. F., Turcati, A., Turcotte, R., Turley, C. F., Twagirayezu, J. P., Ty, B., Unger, E., Elorrieta, M. A. Unland, Vandenbroucke, J., van Eijk, D., van Eijndhoven, N., Vannerom, D., van Santen, J., Verpoest, S., Vraeghe, M., Walck, C., Wallace, A., Wandkowsky, N., Watson, T. B., Weaver, C., Weindl, A., Weiss, M. J., Weldert, J., Wendt, C., Werthebach, J., Whelan, B. J., Whitehorn, N., Wiebe, K., Wiebusch, C. H., Williams, D. R., Wills, L., Wolf, M., Wood, T. R., Woschnagg, K., Wrede, G., Wulff, J., Xu, X. W., Xu, Y., Yanez, J. P., Yoshida, S., Yuan, T., Zhang, Z., and Zöcklein, M.

Subjects
High Energy Physics - Experiment, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The Glashow resonance describes the resonant formation of a $W^-$ boson during the interaction of a high-energy electron antineutrino with an electron, peaking at an antineutrino energy of 6.3 petaelectronvolts (PeV) in the rest frame of the electron. Whereas this energy scale is out of reach for currently operating and future planned particle accelerators, natural astrophysical phenomena are expected to produce antineutrinos with energies beyond the PeV scale. Here we report the detection by the IceCube neutrino observatory of a cascade of high-energy particles (a particle shower) consistent with being created at the Glashow resonance. A shower with an energy of $6.05 \pm 0.72$ PeV (determined from Cherenkov radiation in the Antarctic Ice Sheet) was measured. Features consistent with the production of secondary muons in the particle shower indicate the hadronic decay of a resonant $W^-$ boson, confirm that the source is astrophysical and provide improved directional localization. The evidence of the Glashow resonance suggests the presence of electron antineutrinos in the astrophysical flux, while also providing further validation of the standard model of particle physics. Its unique signature indicates a method of distinguishing neutrinos from antineutrinos, thus providing a way to identify astronomical accelerators that produce neutrinos via hadronuclear or photohadronic interactions, with or without strong magnetic fields. As such, knowledge of both the flavour (that is, electron, muon or tau neutrinos) and charge (neutrino or antineutrino) will facilitate the advancement of neutrino astronomy., Comment: This work has been published in Nature and is available at https://www.nature.com/articles/s41586-021-03256-1

Published
2021
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42. Lot Streaming in Hybrid Flow Shop Manufacturing Systems

Author

Neufeld, Janis S., Maecker, Söhnke, Shen, Liji, Ruiz, Rubén, Buscher, Udo, Clausen, Uwe, Series Editor, Hompel, Michael ten, Series Editor, de Souza, Robert, Series Editor, Buscher, Udo, editor, Neufeld, Janis S., editor, Lasch, Rainer, editor, and Schönberger, Jörn, editor

Published
2023
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46. Characteristics and Outcomes of Prolonged Venoarterial Extracorporeal Membrane Oxygenation After Cardiac Surgery: The Post-Cardiotomy Extracorporeal Life Support (PELS-1) Cohort Study

Author

Bunge, Jeroen J. H., Mariani, Silvia, Meuwese, Christiaan, van Bussel, Bas C. T., Di Mauro, Michele, Wiedeman, Dominik, Saeed, Diyar, Pozzi, Matteo, Loforte, Antonio, Boeken, Udo, Samalavicius, Robertas, Bounader, Karl, Hou, Xiaotong, Buscher, Hergen, Salazar, Leonardo, Meyns, Bart, Herr, Daniel, Matteucci, Sacha, Sponga, Sandro, MacLaren, Graeme, Russo, Claudio, Formica, Francesco, Sakiyalak, Pranya, Fiore, Antonio, Camboni, Daniele, Raffa, Giuseppe Maria, Diaz, Rodrigo, Wang, I-wen, Jung, Jae-Seung, Belohlavek, Jan, Pellegrino, Vin, Bianchi, Giacomo, Pettinari, Matteo, Barbone, Alessandro, Garcia, José P., Shekar, Kiran, Whitman, Glenn J. R., Gommers, Diederik, Dos Reis Miranda, Dinis, Lorusso, Roberto, Heuts, Samuel, Ravaux, Justine, Schaefer, Anne-Kristin, Conci, Luca, Szalkiewicz, Philipp, Khalil, Jawad, Lehmann, Sven, Obadia, Jean-Francois, Kalampokas, Nikolaos, Jankuviene, Agne, Flecher, Erwan, Sriranjan, Kogulan, Mazzeffi, Michael A, Vedadi, Nazli, Di Eusanio, Marco, Sorokin, Vitaly, Ramanathan, Ram, Costetti, Alessandro, Schmid, Chistof, Castillo, Roberto, Mikulenka, Vladimir, Grus, Tomas, and Solinas, Marco

Published
2024
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48. Covered versus bare-metal stenting of the mesenteric arteries in patients with chronic mesenteric ischaemia (CoBaGI): a multicentre, patient-blinded and investigator-blinded, randomised controlled trial

Author

Balm, Ron, Bakker, Olaf J, Bijdevaate, Diederik C, Blauw, Juliette T, de Borst, Gert Jan, Bos, Philip R, Bruno, Marco J, Buscher, Hessel C J L, van Dijk, Louisa J D, van Duivenvoorden, Annet A M, Erler, Nicole S, Fioole, Bram, Geelkerken, Robert H, Hamming, Jaap F, Harki, Jihan, Harmankaya, Duygu, van Hattum, Eline S, van den Heuvel, Daniel A F, Hinnen, Jan Willem, Kolkman, Jeroen J, van der Laan, Maarten J, Lenaerts, Kaatje, Lubbers, Tim, van der Lugt, Mark, Metz, Floor M, Moelker, Adriaan, Nikkessen, Suzan, van Noord, Derirée, Parikh, Kaushal, van der Schaar, Peter J, Smits, Henk F M, Terlouw, Luke G, Verhagen, Hence J M, de Vries, Annemarie C, de Vries, Jean Paul P M, Vroegindeweij, Dammis, Welten, Gijs M J M, van Noord, Desirée, van Petersen, André S, and de Vries, Jean-Paul P M

Published
2024
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49. IceCube Data for Neutrino Point-Source Searches Years 2008-2018

Author

IceCube Collaboration, Abbasi, R., Ackermann, M., Adams, J., Aguilar, J. A., Ahlers, M., Ahrens, M., Alispach, C., Amin, N. M., Andeen, K., Anderson, T., Ansseau, I., Anton, G., Argüelles, C., Axani, S., Bai, X., V., A. Balagopal, Barbano, A., Barwick, S. W., Bastian, B., Basu, V., Baum, V., Baur, S., Bay, R., Beatty, J. J., Becker, K. -H., Tjus, J. Becker, Bellenghi, C., BenZvi, S., Berley, D., Bernardini, E., Besson, D. Z., Binder, G., Bindig, D., Blaufuss, E., Blot, S., Bohm, C., Böser, S., Botner, O., Böttcher, J., Bourbeau, E., Bourbeau, J., Bradascio, F., Braun, J., Bron, S., Brostean-Kaiser, J., Burgman, A., Buscher, J., Busse, R. S., Campana, M. A., Carver, T., Chen, C., Cheung, E., Chirkin, D., Choi, S., Clark, B. A., Clark, K., Classen, L., Coleman, A., Collin, G. H., Conrad, J. M., Coppin, P., Correa, P., Cowen, D. F., Cross, R., Dave, P., De Clercq, C., DeLaunay, J. J., Dembinski, H., Deoskar, K., De Ridder, S., Desai, A., Desiati, P., de Vries, K. D., de Wasseige, G., de With, M., DeYoung, T., Dharani, S., Diaz, A., Díaz-Vélez, J. C., Dujmovic, H., Dunkman, M., DuVernois, M. A., Dvorak, E., Ehrhardt, T., Eller, P., Engel, R., Evenson, P. A., Fahey, S., Fazely, A. R., Felde, J., Fienberg, A. T., Filimonov, K., Finley, C., Fischer, L., Fox, D., Franckowiak, A., Friedman, E., Fritz, A., Gaisser, T. K., Gallagher, J., Ganster, E., Garrappa, S., Gerhardt, L., Ghadimi, A., Glauch, T., Glüsenkamp, T., Goldschmidt, A., Gonzalez, J. G., Goswami, S., Grant, D., Grégoire, T., Griffith, Z., Griswold, S., Gündüz, M., Haack, C., Hallgren, A., Halliday, R., Halve, L., Halzen, F., Minh, M. Ha, Hanson, K., Hardin, J., Haungs, A., Hauser, S., Hebecker, D., Heix, P., Helbing, K., Hellauer, R., Henningsen, F., Hickford, S., Hignight, J., Hill, C., Hill, G. C., Hoffman, K. D., Hoffmann, R., Hoinka, T., Hokanson-Fasig, B., Hoshina, K., Huang, F., Huber, M., Huber, T., Hultqvist, K., Hünnefeld, M., Hussain, R., In, S., Iovine, N., Ishihara, A., Jansson, M., Japaridze, G. S., Jeong, M., Jones, B. J. P., Jonske, F., Joppe, R., Kang, D., Kang, W., Kang, X., Kappes, A., Kappesser, D., Karg, T., Karl, M., Karle, A., Katz, U., Kauer, M., Kellermann, M., Kelley, J. L., Kheirandish, A., Kim, J., Kin, K., Kintscher, T., Kiryluk, J., Kittler, T., Klein, S. R., Koirala, R., Kolanoski, H., Köpke, L., Kopper, C., Kopper, S., Koskinen, D. J., Koundal, P., Kovacevich, M., Kowalski, M., Krings, K., Krückl, G., Kulacz, N., Kurahashi, N., Kyriacou, A., Gualda, C. Lagunas, Lanfranchi, J. L., Larson, M. J., Lauber, F., Lazar, J. P., Leonard, K., Leszczyńska, A., Li, Y., Liu, Q. R., Lohfink, E., Mariscal, C. J. Lozano, Lu, L., Lucarelli, F., Ludwig, A., Lünemann, J., Luszczak, W., Lyu, Y., Ma, W. Y., Madsen, J., Maggi, G., Mahn, K. B. M., Makino, Y., Mallik, P., Mancina, S., Mariş, I. C., Maruyama, R., Mase, K., Maunu, R., McNally, F., Meagher, K., Medina, A., Meier, M., Meighen-Berger, S., Merz, J., Micallef, J., Mockler, D., Momenté, G., Montaruli, T., Moore, R. W., Morse, R., Moulai, M., Muth, P., Naab, R., Nagai, R., Naumann, U., Necker, J., Neer, G., Nguyên, L. V., Niederhausen, H., Nisa, M. U., Nowicki, S. C., Nygren, D. R., Pollmann, A. Obertacke, Oehler, M., Olivas, A., O'Sullivan, E., Pandya, H., Pankova, D. V., Park, N., Parker, G. K., Paudel, E. N., Peiffer, P., Heros, C. Pérez de los, Philippen, S., Pieloth, D., Pieper, S., Pizzuto, A., Plum, M., Popovych, Y., Porcelli, A., Rodriguez, M. Prado, Price, P. B., Przybylski, G. T., Raab, C., Raissi, A., Rameez, M., Rawlins, K., Rea, I. C., Rehman, A., Reimann, R., Renschler, M., Renzi, G., Resconi, E., Reusch, S., Rhode, W., Richman, M., Riedel, B., Robertson, S., Roellinghoff, G., Rongen, M., Rott, C., Ruhe, T., Ryckbosch, D., Cantu, D. Rysewyk, Safa, I., Herrera, S. E. Sanchez, Sandrock, A., Sandroos, J., Santander, M., Sarkar, S., Satalecka, K., Scharf, M., Schaufel, M., Schieler, H., Schlunder, P., Schmidt, T., Schneider, A., Schneider, J., Schröder, F. G., Schumacher, L., Sclafani, S., Seckel, D., Seunarine, S., Shefali, S., Silva, M., Smithers, B., Snihur, R., Soedingrekso, J., Soldin, D., Song, M., Spiczak, G. M., Spiering, C., Stachurska, J., Stamatikos, M., Stanev, T., Stein, R., Stettner, J., Steuer, A., Stezelberger, T., Stokstad, R. G., Strotjohann, N. L., Stürwald, T., Stuttard, T., Sullivan, G. W., Taboada, I., Tenholt, F., Ter-Antonyan, S., Tilav, S., Tollefson, K., Tomankova, L., Tönnis, C., Toscano, S., Tosi, D., Trettin, A., Tselengidou, M., Tung, C. F., Turcati, A., Turcotte, R., Turley, C. F., Twagirayezu, J. P., Ty, B., Unger, E., Elorrieta, M. A. Unland, Vandenbroucke, J., van Eijk, D., van Eijndhoven, N., Vannerom, D., van Santen, J., Verpoest, S., Vraeghe, M., Walck, C., Wallace, A., Watson, T. B., Weaver, C., Weindl, A., Weiss, M. J., Weldert, J., Wendt, C., Werthebach, J., Whelan, B. J., Whitehorn, N., Wiebe, K., Wiebusch, C. H., Williams, D. R., Wolf, M., Wood, T. R., Woschnagg, K., Wrede, G., Wulff, J., Xu, X. W., Xu, Y., Yanez, J. P., Yoshida, S., Yuan, T., Zhang, Z., and Zöcklein, M.

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

IceCube has performed several all-sky searches for point-like neutrino sources using track-like events, including a recent time-integrated analysis using 10 years of IceCube data. This paper accompanies the public data release of these neutrino candidates detected by IceCube between April 6, 2008 and July 8, 2018. The selection includes through-going tracks, primarily due to muon neutrino candidates, that reach the detector from all directions, as well as neutrino track events that start within the instrumented volume. An updated selection and reconstruction for data taken after April 2012 slightly improves the sensitivity of the sample. While more than 80% of the sample overlaps between the old and new versions, differing events can lead to changes relative to the previous 7 year event selection. An a posteriori estimate of the significance of the 2014-2015 TXS flare is reported with an explanation of observed discrepancies with previous results. This public data release, which includes 10 years of data and binned detector response functions for muon neutrino signal events, shows improved sensitivity in generic time-integrated point source analyses and should be preferred over previous releases., Comment: See https://icecube.wisc.edu/science/data/PS-IC40-IC86_VII for the associated data release files. For the associated time-integrated analysis results, see Phys. Rev. Lett. 124, 051103 (2020) (also available at arXiv:1910.08488)

Published
2021
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50. Multimessenger Gamma-Ray and Neutrino Coincidence Alerts using HAWC and IceCube sub-threshold Data

Author

Solares, H. A. Ayala, Coutu, S., DeLaunay, J. J., Fox, D. B., Grégoire, T., Keivani, A., Krauß, F., Mostafá, M., Murase, K., Turley, C. F., Albert, A., Alfaro, R., Alvarez, C., Camacho, J. R. Angeles, Arteaga-Velázquez, J. C., Arunbabu, K. P., Rojas, D. Avila, Belmont-Moreno, E., Brisbois, C., Caballero-Mora, K. S., Carramiñana, A., Casanova, S., Cotti, U., De la Fuente, E., Hernandez, R. Diaz, Dingus, B. L., DuVernois, M. A., Durocher, M., Díaz-Vélez, J. C., Espinoza, C., Fan, K. L., Fleischhack, H., Fraija, N., Galván-Gámez, A., Garcia, D., García-González, J. A., Garfias, F., González, M. M., Goodman, J. A., Harding, J. P., Hona, B., Huang, D., Hueyotl-Zahuantitla, F., Huntemeyer, P., Iriarte, A., Jardin-Blicq, A., Joshi, V., Vargas, H. León, Linnemann, J. T., Longinotti, A. L., Luis-Raya, G., Lundeen, J., Malone, K., Martinez, O., Martinez-Castellanos, I., Martínez-Castro, J., Matthews, J. A., Miranda-Romagnoli, P., Moreno, E., Nellen, L., Newbold, M., Nisa, M. U., Noriega-Papaqui, R., Peisker, A., Pérez-Pérez, E. G., Rho, C. D., Rosa-González, D., Salazar, H., Greus, F. Salesa, Sandoval, A., Smith, A. J., Springer, R. W., Tollefson, K., Torres, I., Torres-Escobedo, R., Ureña-Mena, F., Villaseñor, L., Weisgarber, T., Willox, E., Zepeda, A., Zhou, H., de León, C., Aartsen, M. G., Abbasi, R., Ackermann, M., Adams, J., Aguilar, J. A., Ahlers, M., Ahrens, M., Alispach, C., Amin, N. M., Andeen, K., Anderson, T., Ansseau, I., Anton, G., Argüelles, C., Auffenberg, J., Axani, S., Bagherpour, H., Bai, X., V., A. Balagopal, Barbano, A., Barwick, S. W., Bastian, B., Basu, V., Baum, V., Baur, S., Bay, R., Beatty, J. J., Becker, K. -H., Tjus, J. Becker, BenZvi, S., Berley, D., Bernardini, E., Besson, D. Z., Binder, G., Bindig, D., Blaufuss, E., Blot, S., Bohm, C., Böser, S., Botner, O., Böttcher, J., Bourbeau, E., Bourbeau, J., Bradascio, F., Braun, J., Bron, S., Brostean-Kaiser, J., Burgman, A., Buscher, J., Busse, R. S., Carver, T., Chen, C., Cheung, E., Chirkin, D., Choi, S., Clark, B. A., Clark, K., Classen, L., Coleman, A., Collin, G. H., Conrad, J. M., Coppin, P., Correa, P., Cowen, D. F., Cross, R., Dave, P., De Clercq, C., Dembinski, H., Deoskar, K., De Ridder, S., Desai, A., Desiati, P., de Vries, K. D., de Wasseige, G., de With, M., DeYoung, T., Dharani, S., Diaz, A., Dujmovic, H., Dunkman, M., Dvorak, E., Ehrhardt, T., Eller, P., Engel, R., Evenson, P. A., Fahey, S., Fazely, A. R., Felde, J., Fienberg, A., Filimonov, K., Finley, C., Franckowiak, A., Friedman, E., Fritz, A., Gaisser, T. K., Gallagher, J., Ganster, E., Garrappa, S., Gerhardt, L., Glauch, T., Glüsenkamp, T., Goldschmidt, A., Gonzalez, J. G., Grant, D., Griffith, Z., Griswold, S., Günder, M., Gündüz, M., Haack, C., Hallgren, A., Halliday, R., Halve, L., Halzen, F., Hanson, K., Hardin, J., Haungs, A., Hauser, S., Hebecker, D., Heereman, D., Heix, P., Helbing, K., Hellauer, R., Henningsen, F., Hickford, S., Hignight, J., Hill, C., Hill, G. C., Hoffman, K. D., Hoffmann, R., Hoinka, T., Hokanson-Fasig, B., Hoshina, K., Huang, F., Huber, M., Huber, T., Hultqvist, K., Hünnefeld, M., Hussain, R., In, S., Iovine, N., Ishihara, A., Jansson, M., Japaridze, G. S., Jeong, M., Jones, B. J. P., Jonske, F., Joppe, R., Kang, D., Kang, W., Kappes, A., Kappesser, D., Karg, T., Karl, M., Karle, A., Katz, U., Kauer, M., Kellermann, M., Kelley, J. L., Kheirandish, A., Kim, J., Kin, K., Kintscher, T., Kiryluk, J., Kittler, T., Klein, S. R., Koirala, R., Kolanoski, H., Köpke, L., Kopper, C., Kopper, S., Koskinen, D. J., Koundal, P., Kowalski, M., Krings, K., Krückl, G., Kulacz, N., Kurahashi, N., Kyriacou, A., Lanfranchi, J. L., Larson, M. 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Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

The High Altitude Water Cherenkov (HAWC) and IceCube observatories, through the Astrophysical Multimessenger Observatory Network (AMON) framework, have developed a multimessenger joint search for extragalactic astrophysical sources. This analysis looks for sources that emit both cosmic neutrinos and gamma rays that are produced in photo-hadronic or hadronic interactions. The AMON system is running continuously, receiving sub-threshold data (i.e. data that is not suited on its own to do astrophysical searches) from HAWC and IceCube, and combining them in real-time. We present here the analysis algorithm, as well as results from archival data collected between June 2015 and August 2018, with a total live-time of 3.0 years. During this period we found two coincident events that have a false alarm rate (FAR) of $<1$ coincidence per year, consistent with the background expectations. The real-time implementation of the analysis in the AMON system began on November 20th, 2019, and issues alerts to the community through the Gamma-ray Coordinates Network with a FAR threshold of $<4$ coincidences per year., Comment: 14 pages, 5 figures, 3 tables

Published
2020
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