2,153 results on '"Ryan, Michael P."'
Search Results
2. Distilling an End-to-End Voice Assistant Without Instruction Training Data
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Held, William, Li, Ella, Ryan, Michael, Shi, Weiyan, Zhang, Yanzhe, and Yang, Diyi
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
Voice assistants, such as Siri and Google Assistant, typically model audio and text separately, resulting in lost speech information and increased complexity. Recent efforts to address this with end-to-end Speech Large Language Models (LLMs) trained with supervised finetuning (SFT) have led to models ``forgetting" capabilities from text-only LLMs. Our work proposes an alternative paradigm for training Speech LLMs without instruction data, using the response of a text-only LLM to transcripts as self-supervision. Importantly, this process can be performed without annotated responses. We show that our Distilled Voice Assistant (DiVA) generalizes to Spoken Question Answering, Classification, and Translation. Furthermore, we show that DiVA better meets user preferences, achieving a 72\% win rate compared with state-of-the-art models like Qwen 2 Audio, despite using $>$100x less training compute.
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- 2024
3. Racial Disparities in PAD-Related Amputation Rates among Native Americans and non-Hispanic Whites: An HCUP Analysis
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Rizzo, John A., Chen, Jie, Laurich, Chad, Santos, Angelo, Martinsen, Brad J., Ryan, Michael P., Kotlarz, Harry, and Gunnarsson, Candace
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- 2018
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4. The Cost of Waiting for a Transcatheter Aortic Valve Replacement in Medicare Beneficiaries With Severe Aortic Stenosis.
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Sethi, Ankur, Elmariah, Sammy, Gunnarsson, Candace, Ryan, Michael, Chikermane, Soumya, Thompson, Christin, and Russo, Mark
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Costs ,Severe Aortic Stenosis ,Transcatheter Aortic Valve Replacement - Abstract
BACKGROUND: Aortic stenosis (AS) is a prevalent valvular disorder necessitating timely intervention, particularly when symptomatic. Aortic valve replacement (AVR) is the recommended treatment, but delays in access to AVR are common and linked to adverse outcomes and increased health care costs. This study aims to assess the health care cost burden associated with delaying transcatheter AVR (TAVR) in Medicare Advantage beneficiaries with clinically significant AS. METHODS AND RESULTS: This retrospective database study utilized the Optum de-identified U.S. claims database, encompassing Medicare Advantage enrollees. Patients aged 65 years or older were identified as having AS based on medical billing codes and were required to have a record of syncope, dyspnea, fatigue, chest pain/angina, or heart failure prior to, on or within 30 days of their incident AS diagnosis. Total health care costs were analyzed over a 2-year period, regressed against the delay in receiving TAVR, and adjusted for covariates. In the 4105 patients meeting study inclusion criteria, delays in TAVR were associated with a significant increase in health care costs, translating to those waiting 12 months for TAVR incurring an additional cost of $10,080 compared to those receiving TAVR promptly. Non-TAVR related costs largely drove this increase. CONCLUSIONS: Delaying TAVR in clinically significant AS patients is associated with higher health care costs, emphasizing the need for timely interventions. Addressing delays in TAVR access and optimizing pre-TAVR workup can potentially improve patient outcomes and reduce health care expenditure.
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- 2024
5. No-Transcatheter Aortic Valve Replacement (TAVR) Zones and Their Effect on Access to Care for Medicare Beneficiaries with Aortic Stenosis
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David, Guy, Epstein, Andrew J., Giri, Jay, Nathan, Ashwin, Chikermane, Soumya G., Ryan, Michael, Thompson, Christin, Clancy, Seth, and Gunnarsson, Candace
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- 2025
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6. The irreducibility of chemistry to Everettian quantum mechanics
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Miller, Ryan Michael
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- 2025
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7. Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
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Opsahl-Ong, Krista, Ryan, Michael J, Purtell, Josh, Broman, David, Potts, Christopher, Zaharia, Matei, and Khattab, Omar
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
Language Model Programs, i.e. sophisticated pipelines of modular language model (LM) calls, are increasingly advancing NLP tasks, but they require crafting prompts that are jointly effective for all modules. We study prompt optimization for LM programs, i.e. how to update these prompts to maximize a downstream metric without access to module-level labels or gradients. To make this tractable, we factorize our problem into optimizing the free-form instructions and few-shot demonstrations of every module and introduce several strategies to craft task-grounded instructions and navigate credit assignment across modules. Our strategies include (i) program- and data-aware techniques for proposing effective instructions, (ii) a stochastic mini-batch evaluation function for learning a surrogate model of our objective, and (iii) a meta-optimization procedure in which we refine how LMs construct proposals over time. Using these insights we develop MIPRO, a novel algorithm for optimizing LM programs. MIPRO outperforms baseline optimizers on five of seven diverse multi-stage LM programs using a best-in-class open-source model (Llama-3-8B), by as high as 13% accuracy. We have released our new optimizers and benchmark in DSPy at http://dspy.ai, Comment: EMNLP 2024. Krista and Michael contributed equally to this work
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- 2024
8. Multinational firms’ responses to a host country financial crisis: the case of Korea: Multinational firms’ responses to a host...
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Ryan, Michael and Tanaka, Ayumu
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- 2024
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9. Rapid cross-generational changes in morphology and mate choice following an extreme climatic event
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Cronin, Andrew D., Taylor, Ryan C., Page, Rachel A., Ryan, Michael J., Murphy, Megan A., and Hunter, Kimberly L.
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- 2024
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10. Unintended Impacts of LLM Alignment on Global Representation
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Ryan, Michael J., Held, William, and Yang, Diyi
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Computer Science - Computation and Language ,Computer Science - Computers and Society ,Computer Science - Machine Learning - Abstract
Before being deployed for user-facing applications, developers align Large Language Models (LLMs) to user preferences through a variety of procedures, such as Reinforcement Learning From Human Feedback (RLHF) and Direct Preference Optimization (DPO). Current evaluations of these procedures focus on benchmarks of instruction following, reasoning, and truthfulness. However, human preferences are not universal, and aligning to specific preference sets may have unintended effects. We explore how alignment impacts performance along three axes of global representation: English dialects, multilingualism, and opinions from and about countries worldwide. Our results show that current alignment procedures create disparities between English dialects and global opinions. We find alignment improves capabilities in several languages. We conclude by discussing design decisions that led to these unintended impacts and recommendations for more equitable preference tuning. We make our code and data publicly available on Github., Comment: Accepted to ACL 2024 main conference
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- 2024
11. Putting the brakes on mitochondrial fusion to prevent escape of mitochondrial DNA
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McArthur, Kate and Ryan, Michael T.
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- 2025
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12. From innate to instructed: A new look at perceptual decision-making
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Oesch, Lukas T, Ryan, Michael B, and Churchland, Anne K
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Biomedical and Clinical Sciences ,Neurosciences ,Behavioral and Social Science ,Basic Behavioral and Social Science ,Neurological ,Mental health ,Cognitive Sciences - Abstract
Understanding how subjects perceive sensory stimuli in their environment and use this information to guide appropriate actions is a major challenge in neuroscience. To study perceptual decision-making in animals, researchers use tasks that either probe spontaneous responses to stimuli (often described as "naturalistic") or train animals to associate stimuli with experimenter-defined responses. Spontaneous decisions rely on animals' pre-existing knowledge, while trained tasks offer greater versatility, albeit often at the cost of extensive training. Here, we review emerging approaches to investigate perceptual decision-making using both spontaneous and trained behaviors, highlighting their strengths and limitations. Additionally, we propose how trained decision-making tasks could be improved to achieve faster learning and a more generalizable understanding of task rules.
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- 2024
13. Conserved chromatin and repetitive patterns reveal slow genome evolution in frogs
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Bredeson, Jessen V, Mudd, Austin B, Medina-Ruiz, Sofia, Mitros, Therese, Smith, Owen Kabnick, Miller, Kelly E, Lyons, Jessica B, Batra, Sanjit S, Park, Joseph, Berkoff, Kodiak C, Plott, Christopher, Grimwood, Jane, Schmutz, Jeremy, Aguirre-Figueroa, Guadalupe, Khokha, Mustafa K, Lane, Maura, Philipp, Isabelle, Laslo, Mara, Hanken, James, Kerdivel, Gwenneg, Buisine, Nicolas, Sachs, Laurent M, Buchholz, Daniel R, Kwon, Taejoon, Smith-Parker, Heidi, Gridi-Papp, Marcos, Ryan, Michael J, Denton, Robert D, Malone, John H, Wallingford, John B, Straight, Aaron F, Heald, Rebecca, Hockemeyer, Dirk, Harland, Richard M, and Rokhsar, Daniel S
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Ecological Applications ,Bioinformatics and Computational Biology ,Biological Sciences ,Genetics ,Environmental Sciences ,Human Genome ,Generic health relevance ,Animals ,Chromatin ,Evolution ,Molecular ,Genome ,Anura ,Xenopus ,Centromere - Abstract
Frogs are an ecologically diverse and phylogenetically ancient group of anuran amphibians that include important vertebrate cell and developmental model systems, notably the genus Xenopus. Here we report a high-quality reference genome sequence for the western clawed frog, Xenopus tropicalis, along with draft chromosome-scale sequences of three distantly related emerging model frog species, Eleutherodactylus coqui, Engystomops pustulosus, and Hymenochirus boettgeri. Frog chromosomes have remained remarkably stable since the Mesozoic Era, with limited Robertsonian (i.e., arm-preserving) translocations and end-to-end fusions found among the smaller chromosomes. Conservation of synteny includes conservation of centromere locations, marked by centromeric tandem repeats associated with Cenp-a binding surrounded by pericentromeric LINE/L1 elements. This work explores the structure of chromosomes across frogs, using a dense meiotic linkage map for X. tropicalis and chromatin conformation capture (Hi-C) data for all species. Abundant satellite repeats occupy the unusually long (~20 megabase) terminal regions of each chromosome that coincide with high rates of recombination. Both embryonic and differentiated cells show reproducible associations of centromeric chromatin and of telomeres, reflecting a Rabl-like configuration. Our comparative analyses reveal 13 conserved ancestral anuran chromosomes from which contemporary frog genomes were constructed.
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- 2024
14. Fritz Lang’s Radio Aesthetic: M. Eine Stadt sucht einen Mörder
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Ryan, Michael P.
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- 2013
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15. Chapter Mechanisms of Calcineurin Inhibitor Nephrotoxicity in Chronic Allograft Injury
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Slattery, Craig, Johnston, Olwyn, McMorrow, Tara, Cassidy, Hilary, and Ryan, Michael P.
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Medicine ,Immunology - Abstract
Diseases & disorders
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- 2021
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16. Twitter-patter: how social media drives foot traffic to retail stores
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Weinandy, Thomas J., Chen, Kuanchin, Pozo, Susan, and Ryan, Michael J.
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- 2024
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17. Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary survey
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Abdel-Basset, Mohamed, Chang, Victor, Hawash, Hossam, Chakrabortty, Ripon K., and Ryan, Michael
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- 2024
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18. Mere coincidence or an association? Case of juvenile idiopathic arthritis in a patient with Klinefelter syndrome
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Shaily, Aditi, Ryan, Michael, and Gilbert, Mileka
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- 2024
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19. 28-country global study on associations between cultural characteristics and Recovery College fidelity
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Kotera, Yasuhiro, Ronaldson, Amy, Hayes, Daniel, Hunter-Brown, Holly, McPhilbin, Merly, Dunnett, Danielle, Jebara, Tesnime, Takhi, Simran, Masuda, Takahiko, Camacho, Elizabeth, Bakolis, Ioannis, Repper, Julie, Meddings, Sara, Stergiopoulos, Vicky, Brophy, Lisa, De Ruysscher, Clara, Okoliyski, Michail, Kubinová, Petra, Eplov, Lene, Toernes, Charlotte, Narusson, Dagmar, Tinland, Aurélie, Puschner, Bernd, Hiltensperger, Ramona, Lucchi, Fabio, Miyamoto, Yuki, Castelein, Stynke, Borg, Marit, Klevan, Trude Gøril, Tan Boon Meng, Roger, Sornchai, Chatdanai, Tiengtom, Kruawon, Farkas, Marianne, Moreland Jones, Hannah, Moore, Edith, Butler, Ann, Mpango, Richard, Tse, Samson, Kondor, Zsuzsa, Ryan, Michael, Zuaboni, Gianfranco, Elton, Dan, Grant-Rowles, Jason, McNaughton, Rebecca, Hanlon, Charlotte, Harcla, Claire, Vanderplasschen, Wouter, Arbour, Simone, Silverstone, Denise, Bejerholm, Ulrika, Powell, Candice, Ochoa, Susana, Garcia-Franco, Mar, Tolonen, Jonna, Yeo, Caroline, Charles, Ashleigh, Henderson, Claire, and Slade, Mike
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- 2024
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20. An active learning framework for the rapid assessment of galvanic corrosion
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Venkatraman, Aditya, Katona, Ryan Michael, Maestas, Demitri, Roop, Matthew, Noell, Philip, and Montes de Oca Zapiain, David
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- 2024
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21. Revisiting non-English Text Simplification: A Unified Multilingual Benchmark
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Ryan, Michael J., Naous, Tarek, and Xu, Wei
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
Recent advancements in high-quality, large-scale English resources have pushed the frontier of English Automatic Text Simplification (ATS) research. However, less work has been done on multilingual text simplification due to the lack of a diverse evaluation benchmark that covers complex-simple sentence pairs in many languages. This paper introduces the MultiSim benchmark, a collection of 27 resources in 12 distinct languages containing over 1.7 million complex-simple sentence pairs. This benchmark will encourage research in developing more effective multilingual text simplification models and evaluation metrics. Our experiments using MultiSim with pre-trained multilingual language models reveal exciting performance improvements from multilingual training in non-English settings. We observe strong performance from Russian in zero-shot cross-lingual transfer to low-resource languages. We further show that few-shot prompting with BLOOM-176b achieves comparable quality to reference simplifications outperforming fine-tuned models in most languages. We validate these findings through human evaluation., Comment: Accepted to ACL 2023 main conference
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- 2023
22. ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
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Naous, Tarek, Ryan, Michael J., Lavrouk, Anton, Chandra, Mohit, and Xu, Wei
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
We present a comprehensive evaluation of large language models for multilingual readability assessment. Existing evaluation resources lack domain and language diversity, limiting the ability for cross-domain and cross-lingual analyses. This paper introduces ReadMe++, a multilingual multi-domain dataset with human annotations of 9757 sentences in Arabic, English, French, Hindi, and Russian, collected from 112 different data sources. This benchmark will encourage research on developing robust multilingual readability assessment methods. Using ReadMe++, we benchmark multilingual and monolingual language models in the supervised, unsupervised, and few-shot prompting settings. The domain and language diversity in ReadMe++ enable us to test more effective few-shot prompting, and identify shortcomings in state-of-the-art unsupervised methods. Our experiments also reveal exciting results of superior domain generalization and enhanced cross-lingual transfer capabilities by models trained on ReadMe++. We will make our data publicly available and release a python package tool for multilingual sentence readability prediction using our trained models at: https://github.com/tareknaous/readme, Comment: Accepted to EMNLP 2024 Main Conference
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- 2023
23. Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
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Naous, Tarek, Ryan, Michael J., Ritter, Alan, and Xu, Wei
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
As the reach of large language models (LMs) expands globally, their ability to cater to diverse cultural contexts becomes crucial. Despite advancements in multilingual capabilities, models are not designed with appropriate cultural nuances. In this paper, we show that multilingual and Arabic monolingual LMs exhibit bias towards entities associated with Western culture. We introduce CAMeL, a novel resource of 628 naturally-occurring prompts and 20,368 entities spanning eight types that contrast Arab and Western cultures. CAMeL provides a foundation for measuring cultural biases in LMs through both extrinsic and intrinsic evaluations. Using CAMeL, we examine the cross-cultural performance in Arabic of 16 different LMs on tasks such as story generation, NER, and sentiment analysis, where we find concerning cases of stereotyping and cultural unfairness. We further test their text-infilling performance, revealing the incapability of appropriate adaptation to Arab cultural contexts. Finally, we analyze 6 Arabic pre-training corpora and find that commonly used sources such as Wikipedia may not be best suited to build culturally aware LMs, if used as they are without adjustment. We will make CAMeL publicly available at: https://github.com/tareknaous/camel
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- 2023
24. The James Webb Space Telescope Mission
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Gardner, Jonathan P., Mather, John C., Abbott, Randy, Abell, James S., Abernathy, Mark, Abney, Faith E., Abraham, John G., Abraham, Roberto, Abul-Huda, Yasin M., Acton, Scott, Adams, Cynthia K., Adams, Evan, Adler, David S., Adriaensen, Maarten, Aguilar, Jonathan Albert, Ahmed, Mansoor, Ahmed, Nasif S., Ahmed, Tanjira, Albat, Rüdeger, Albert, Loïc, Alberts, Stacey, Aldridge, David, Allen, Mary Marsha, Allen, Shaune S., Altenburg, Martin, Altunc, Serhat, Alvarez, Jose Lorenzo, Álvarez-Márquez, Javier, de Oliveira, Catarina Alves, Ambrose, Leslie L., Anandakrishnan, Satya M., Andersen, Gregory C., Anderson, Harry James, Anderson, Jay, Anderson, Kristen, Anderson, Sara M., Aprea, Julio, Archer, Benita J., Arenberg, Jonathan W., Argyriou, Ioannis, Arribas, Santiago, Artigau, Étienne, Arvai, Amanda Rose, Atcheson, Paul, Atkinson, Charles B., Averbukh, Jesse, Aymergen, Cagatay, Bacinski, John J., Baggett, Wayne E., Bagnasco, Giorgio, Baker, Lynn L., Balzano, Vicki Ann, Banks, Kimberly A., Baran, David A., Barker, Elizabeth A., Barrett, Larry K., Barringer, Bruce O., Barto, Allison, Bast, William, Baudoz, Pierre, Baum, Stefi, Beatty, Thomas G., Beaulieu, Mathilde, Bechtold, Kathryn, Beck, Tracy, Beddard, Megan M., Beichman, Charles, Bellagama, Larry, Bely, Pierre, Berger, Timothy W., Bergeron, Louis E., Darveau-Bernier, Antoine, Bertch, Maria D., Beskow, Charlotte, Betz, Laura E., Biagetti, Carl P., Birkmann, Stephan, Bjorklund, Kurt F., Blackwood, James D., Blazek, Ronald Paul, Blossfeld, Stephen, Bluth, Marcel, Boccaletti, Anthony, Boegner Jr., Martin E., Bohlin, Ralph C., Boia, John Joseph, Böker, Torsten, Bonaventura, N., Bond, Nicholas A., Bosley, Kari Ann, Boucarut, Rene A., Bouchet, Patrice, Bouwman, Jeroen, Bower, Gary, Bowers, Ariel S., Bowers, Charles W., Boyce, Leslye A., Boyer, Christine T., Boyer, Martha L., Boyer, Michael, Boyer, Robert, Bradley, Larry D., Brady, Gregory R., Brandl, Bernhard R., Brannen, Judith L., Breda, David, Bremmer, Harold G., Brennan, David, Bresnahan, Pamela A., Bright, Stacey N., Broiles, Brian J., Bromenschenkel, Asa, Brooks, Brian H., Brooks, Keira J., Brown, Bob, Brown, Bruce, Brown, Thomas M., Bruce, Barry W., Bryson, Jonathan G., Bujanda, Edwin D., Bullock, Blake M., Bunker, A. J., Bureo, Rafael, Burt, Irving J., Bush, James Aaron, Bushouse, Howard A., Bussman, Marie C., Cabaud, Olivier, Cale, Steven, Calhoon, Charles D., Calvani, Humberto, Canipe, Alicia M., Caputo, Francis M., Cara, Mihai, Carey, Larkin, Case, Michael Eli, Cesari, Thaddeus, Cetorelli, Lee D., Chance, Don R., Chandler, Lynn, Chaney, Dave, Chapman, George N., Charlot, S., Chayer, Pierre, Cheezum, Jeffrey I., Chen, Bin, Chen, Christine H., Cherinka, Brian, Chichester, Sarah C., Chilton, Zachary S., Chittiraibalan, Dharini, Clampin, Mark, Clark, Charles R., Clark, Kerry W., Clark, Stephanie M., Claybrooks, Edward E., Cleveland, Keith A., Cohen, Andrew L., Cohen, Lester M., Colón, Knicole D., Coleman, Benee L., Colina, Luis, Comber, Brian J., Comeau, Thomas M., Comer, Thomas, Reis, Alain Conde, Connolly, Dennis C., Conroy, Kyle E., Contos, Adam R., Contreras, James, Cook, Neil J., Cooper, James L., Cooper, Rachel Aviva, Correia, Michael F., Correnti, Matteo, Cossou, Christophe, Costanza, Brian F., Coulais, Alain, Cox, Colin R., Coyle, Ray T., Cracraft, Misty M., Noriega-Crespo, Alberto, Crew, Keith A., Curtis, Gary J., Cusveller, Bianca, Maciel, Cleyciane Da Costa, Dailey, Christopher T., Daugeron, Frédéric, Davidson, Greg S., Davies, James E., Davis, Katherine Anne, Davis, Michael S., Day, Ratna, de Chambure, Daniel, de Jong, Pauline, De Marchi, Guido, Dean, Bruce H., Decker, John E., Delisa, Amy S., Dell, Lawrence C., Dellagatta, Gail, Dembinska, Franciszka, Demosthenes, Sandor, Dencheva, Nadezhda M., Deneu, Philippe, DePriest, William W., Deschenes, Jeremy, Dethienne, Nathalie, Detre, Örs Hunor, Diaz, Rosa Izela, Dicken, Daniel, DiFelice, Audrey S., Dillman, Matthew, Disharoon, Maureen O., van Dishoeck, Ewine F., Dixon, William V., Doggett, Jesse B., Dominguez, Keisha L., Donaldson, Thomas S., Doria-Warner, Cristina M., Santos, Tony Dos, Doty, Heather, Douglas Jr., Robert E., Doyon, René, Dressler, Alan, Driggers, Jennifer, Driggers, Phillip A., Dunn, Jamie L., DuPrie, Kimberly C., Dupuis, Jean, Durning, John, Dutta, Sanghamitra B., Earl, Nicholas M., Eccleston, Paul, Ecobichon, Pascal, Egami, Eiichi, Ehrenwinkler, Ralf, Eisenhamer, Jonathan D., Eisenhower, Michael, Eisenstein, Daniel J., Hamel, Zaky El, Elie, Michelle L., Elliott, James, Elliott, Kyle Wesley, Engesser, Michael, Espinoza, Néstor, Etienne, Odessa, Etxaluze, Mireya, Evans, Leah, Fabreguettes, Luce, Falcolini, Massimo, Falini, Patrick R., Fatig, Curtis, Feeney, Matthew, Feinberg, Lee D., Fels, Raymond, Ferdous, Nazma, Ferguson, Henry C., Ferrarese, Laura, Ferreira, Marie-Héléne, Ferruit, Pierre, Ferry, Malcolm, Filippazzo, Joseph Charles, Firre, Daniel, Fix, Mees, Flagey, Nicolas, Flanagan, Kathryn A., Fleming, Scott W., Florian, Michael, Flynn, James R., Foiadelli, Luca, Fontaine, Mark R., Fontanella, Erin Marie, Forshay, Peter Randolph, Fortner, Elizabeth A., Fox, Ori D., Framarini, Alexandro P., Francisco, John I., Franck, Randy, Franx, Marijn, Franz, David E., Friedman, Scott D., Friend, Katheryn E., Frost, James R., Fu, Henry, Fullerton, Alexander W., Gaillard, Lionel, Galkin, Sergey, Gallagher, Ben, Galyer, Anthony D., Marín, Macarena García, Gardner, Lisa E., Garland, Dennis, Garrett, Bruce Albert, Gasman, Danny, Gáspár, András, Gastaud, René, Gaudreau, Daniel, Gauthier, Peter Timothy, Geers, Vincent, Geithner, Paul H., Gennaro, Mario, Gerber, John, Gereau, John C., Giampaoli, Robert, Giardino, Giovanna, Gibbons, Paul C., Gilbert, Karolina, Gilman, Larry, Girard, Julien H., Giuliano, Mark E., Gkountis, Konstantinos, Glasse, Alistair, Glassmire, Kirk Zachary, Glauser, Adrian Michael, Glazer, Stuart D., Goldberg, Joshua, Golimowski, David A., Gonzaga, Shireen P., Gordon, Karl D., Gordon, Shawn J., Goudfrooij, Paul, Gough, Michael J., Graham, Adrian J., Grau, Christopher M., Green, Joel David, Greene, Gretchen R., Greene, Thomas P., Greenfield, Perry E., Greenhouse, Matthew A., Greve, Thomas R., Greville, Edgar M., Grimaldi, Stefano, Groe, Frank E., Groebner, Andrew, Grumm, David M., Grundy, Timothy, Güdel, Manuel, Guillard, Pierre, Guldalian, John, Gunn, Christopher A., Gurule, Anthony, Gutman, Irvin Meyer, Guy, Paul D., Guyot, Benjamin, Hack, Warren J., Haderlein, Peter, Hagan, James B., Hagedorn, Andria, Hainline, Kevin, Haley, Craig, Hami, Maryam, Hamilton, Forrest Clifford, Hammann, Jeffrey, Hammel, Heidi B., Hanley, Christopher J., Hansen, Carl August, Hardy, Bruce, Harnisch, Bernd, Harr, Michael Hunter, Harris, Pamela, Hart, Jessica Ann, Hartig, George F., Hasan, Hashima, Hashim, Kathleen Marie, Hashimoto, Ryan, Haskins, Sujee J., Hawkins, Robert Edward, Hayden, Brian, Hayden, William L., Healy, Mike, Hecht, Karen, Heeg, Vince J., Hejal, Reem, Helm, Kristopher A., Hengemihle, Nicholas J., Henning, Thomas, Henry, Alaina, Henry, Ronald L., Henshaw, Katherine, Hernandez, Scarlin, Herrington, Donald C., Heske, Astrid, Hesman, Brigette Emily, Hickey, David L., Hilbert, Bryan N., Hines, Dean C., Hinz, Michael R., Hirsch, Michael, Hitcho, Robert S., Hodapp, Klaus, Hodge, Philip E., Hoffman, Melissa, Holfeltz, Sherie T., Holler, Bryan Jason, Hoppa, Jennifer Rose, Horner, Scott, Howard, Joseph M., Howard, Richard J., Huber, Jean M., Hunkeler, Joseph S., Hunter, Alexander, Hunter, David Gavin, Hurd, Spencer W., Hurst, Brendan J., Hutchings, John B., Hylan, Jason E., Ignat, Luminita Ilinca, Illingworth, Garth, Irish, Sandra M., Isaacs III, John C., Jackson Jr., Wallace C., Jaffe, Daniel T., Jahic, Jasmin, Jahromi, Amir, Jakobsen, Peter, James, Bryan, James, John C., James, LeAndrea Rae, Jamieson, William Brian, Jandra, Raymond D., Jayawardhana, Ray, Jedrzejewski, Robert, Jeffers, Basil S., Jensen, Peter, Joanne, Egges, Johns, Alan T., Johnson, Carl A., Johnson, Eric L., Johnson, Patricia, Johnson, Phillip Stephen, Johnson, Thomas K., Johnson, Timothy W., Johnstone, Doug, Jollet, Delphine, Jones, Danny P., Jones, Gregory S., Jones, Olivia C., Jones, Ronald A., Jones, Vicki, Jordan, Ian J., Jordan, Margaret E., Jue, Reginald, Jurkowski, Mark H., Justis, Grant, Justtanont, Kay, Kaleida, Catherine C., Kalirai, Jason S., Kalmanson, Phillip Cabrales, Kaltenegger, Lisa, Kammerer, Jens, Kan, Samuel K., Kanarek, Graham Childs, Kao, Shaw-Hong, Karakla, Diane M., Karl, Hermann, Kassin, Susan A., Kauffman, David D., Kavanagh, Patrick, Kelley, Leigh L., Kelly, Douglas M., Kendrew, Sarah, Kennedy, Herbert V., Kenny, Deborah A., Keski-Kuha, Ritva A., Keyes, Charles D., Khan, Ali, Kidwell, Richard C., Kimble, Randy A., King, James S., King, Richard C., Kinzel, Wayne M., Kirk, Jeffrey R., Kirkpatrick, Marc E., Klaassen, Pamela, Klingemann, Lana, Klintworth, Paul U., Knapp, Bryan Adam, Knight, Scott, Knollenberg, Perry J., Knutsen, Daniel Mark, Koehler, Robert, Koekemoer, Anton M., Kofler, Earl T., Kontson, Vicki L., Kovacs, Aiden Rose, Kozhurina-Platais, Vera, Krause, Oliver, Kriss, Gerard A., Krist, John, Kristoffersen, Monica R., Krogel, Claudia, Krueger, Anthony P., Kulp, Bernard A., Kumari, Nimisha, Kwan, Sandy W., Kyprianou, Mark, Labador, Aurora Gadiano, Labiano, Álvaro, Lafrenière, David, Lagage, Pierre-Olivier, Laidler, Victoria G., Laine, Benoit, Laird, Simon, Lajoie, Charles-Philippe, Lallo, Matthew D., Lam, May Yen, LaMassa, Stephanie Marie, Lambros, Scott D., Lampenfield, Richard Joseph, Lander, Matthew Ed, Langston, James Hutton, Larson, Kirsten, Larson, Melora, LaVerghetta, Robert Joseph, Law, David R., Lawrence, Jon F., Lee, David W., Lee, Janice, Lee, Yat-Ning Paul, Leisenring, Jarron, Leveille, Michael Dunlap, Levenson, Nancy A., Levi, Joshua S., Levine, Marie B., Lewis, Dan, Lewis, Jake, Lewis, Nikole, Libralato, Mattia, Lidon, Norbert, Liebrecht, Paula Louisa, Lightsey, Paul, Lilly, Simon, Lim, Frederick C., Lim, Pey Lian, Ling, Sai-Kwong, Link, Lisa J., Link, Miranda Nicole, Lipinski, Jamie L., Liu, XiaoLi, Lo, Amy S., Lobmeyer, Lynette, Logue, Ryan M., Long, Chris A., Long, Douglas R., Long, Ilana D., Long, Knox S., López-Caniego, Marcos, Lotz, Jennifer M., Love-Pruitt, Jennifer M., Lubskiy, Michael, Luers, Edward B., Luetgens, Robert A., Luevano, Annetta J., Lui, Sarah Marie G. Flores, Lund III, James M., Lundquist, Ray A., Lunine, Jonathan, Lützgendorf, Nora, Lynch, Richard J., MacDonald, Alex J., MacDonald, Kenneth, Macias, Matthew J., Macklis, Keith I., Maghami, Peiman, Maharaja, Rishabh Y., Maiolino, Roberto, Makrygiannis, Konstantinos G., Malla, Sunita Giri, Malumuth, Eliot M., Manjavacas, Elena, Marini, Andrea, Marrione, Amanda, Marston, Anthony, Martel, André R, Martin, Didier, Martin, Peter G., Martinez, Kristin L., Maschmann, Marc, Masci, Gregory L., Masetti, Margaret E., Maszkiewicz, Michael, Matthews, Gary, Matuskey, Jacob E., McBrayer, Glen A., McCarthy, Donald W., McCaughrean, Mark J., McClare, Leslie A., McClare, Michael D., McCloskey, John C., McClurg, Taylore D., McCoy, Martin, McElwain, Michael W., McGregor, Roy D., McGuffey, Douglas B., McKay, Andrew G., McKenzie, William K., McLean, Brian, McMaster, Matthew, McNeil, Warren, De Meester, Wim, Mehalick, Kimberly L., Meixner, Margaret, Meléndez, Marcio, Menzel, Michael P., Menzel, Michael T., Merz, Matthew, Mesterharm, David D., Meyer, Michael R., Meyett, Michele L., Meza, Luis E., Midwinter, Calvin, Milam, Stefanie N., Miller, Jay Todd, Miller, William C., Miskey, Cherie L., Misselt, Karl, Mitchell, Eileen P., Mohan, Martin, Montoya, Emily E., Moran, Michael J., Morishita, Takahiro, Moro-Martín, Amaya, Morrison, Debra L., Morrison, Jane, Morse, Ernie C., Moschos, Michael, Moseley, S. H., Mosier, Gary E., Mosner, Peter, Mountain, Matt, Muckenthaler, Jason S., Mueller, Donald G., Mueller, Migo, Muhiem, Daniella, Mühlmann, Prisca, Mullally, Susan Elizabeth, Mullen, Stephanie M., Munger, Alan J, Murphy, Jess, Murray, Katherine T., Muzerolle, James C., Mycroft, Matthew, Myers, Andrew, Myers, Carey R., Myers, Fred Richard R., Myers, Richard, Myrick, Kaila, Nagle IV, Adrian F., Nayak, Omnarayani, Naylor, Bret, Neff, Susan G., Nelan, Edmund P., Nella, John, Nguyen, Duy Tuong, Nguyen, Michael N., Nickson, Bryony, Nidhiry, John Joseph, Niedner, Malcolm B., Nieto-Santisteban, Maria, Nikolov, Nikolay K., Nishisaka, Mary Ann, Nota, Antonella, O'Mara, Robyn C., Oboryshko, Michael, O'Brien, Marcus B., Ochs, William R., Offenberg, Joel D., Ogle, Patrick Michael, Ohl, Raymond G., Olmsted, Joseph Hamden, Osborne, Shannon Barbara, O'Shaughnessy, Brian Patrick, Östlin, Göran, O'Sullivan, Brian, Otor, O. Justin, Ottens, Richard, Ouellette, Nathalie N. -Q., Outlaw, Daria J., Owens, Beverly A., Pacifici, Camilla, Page, James Christophe, Paranilam, James G., Park, Sang, Parrish, Keith A., Paschal, Laura, Patapis, Polychronis, Patel, Jignasha, Patrick, Keith, Pattishall Jr., Robert A., Paul, Douglas William, Paul, Shirley J., Pauly, Tyler Andrew, Pavlovsky, Cheryl M., Peña-Guerrero, Maria, Pedder, Andrew H., Peek, Matthew Weldon, Pelham, Patricia A., Penanen, Konstantin, Perriello, Beth A., Perrin, Marshall D., Perrine, Richard F., Perrygo, Chuck, Peslier, Muriel, Petach, Michael, Peterson, Karla A., Pfarr, Tom, Pierson, James M., Pietraszkiewicz, Martin, Pilchen, Guy, Pipher, Judy L., Pirzkal, Norbert, Pitman, Joseph T., Player, Danielle M., Plesha, Rachel, Plitzke, Anja, Pohner, John A., Poletis, Karyn Konstantin, Pollizzi, Joseph A., Polster, Ethan, Pontius, James T., Pontoppidan, Klaus, Porges, Susana C., Potter, Gregg D., Prescott, Stephen, Proffitt, Charles R., Pueyo, Laurent, Neira, Irma Aracely Quispe, Radich, Armando, Rager, Reiko T., Rameau, Julien, Ramey, Deborah D., Alarcon, Rafael Ramos, Rampini, Riccardo, Rapp, Robert, Rashford, Robert A., Rauscher, Bernard J., Ravindranath, Swara, Rawle, Timothy, Rawlings, Tynika N., Ray, Tom, Regan, Michael W., Rehm, Brian, Rehm, Kenneth D., Reid, Neill, Reis, Carl A., Renk, Florian, Reoch, Tom B., Ressler, Michael, Rest, Armin W., Reynolds, Paul J., Richon, Joel G., Richon, Karen V., Ridgaway, Michael, Riedel, Adric Richard, Rieke, George H., Rieke, Marcia, Rifelli, Richard E., Rigby, Jane R., Riggs, Catherine S., Ringel, Nancy J., Ritchie, Christine E., Rix, Hans-Walter, Robberto, Massimo, Robinson, Michael S., Robinson, Orion, Rock, Frank W., Rodriguez, David R., del Pino, Bruno Rodríguez, Roellig, Thomas, Rohrbach, Scott O., Roman, Anthony J., Romelfanger, Frederick J., Romo Jr., Felipe P., Rosales, Jose J., Rose, Perry, Roteliuk, Anthony F., Roth, Marc N., Rothwell, Braden Quinn, Rouzaud, Sylvain, Rowe, Jason, Rowlands, Neil, Roy, Arpita, Royer, Pierre, Rui, Chunlei, Rumler, Peter, Rumpl, William, Russ, Melissa L., Ryan, Michael B., Ryan, Richard M., Saad, Karl, Sabata, Modhumita, Sabatino, Rick, Sabbi, Elena, Sabelhaus, Phillip A., Sabia, Stephen, Sahu, Kailash C., Saif, Babak N., Salvignol, Jean-Christophe, Samara-Ratna, Piyal, Samuelson, Bridget S., Sanders, Felicia A., Sappington, Bradley, Sargent, B. A., Sauer, Arne, Savadkin, Bruce J., Sawicki, Marcin, Schappell, Tina M., Scheffer, Caroline, Scheithauer, Silvia, Scherer, Ron, Schiff, Conrad, Schlawin, Everett, Schmeitzky, Olivier, Schmitz, Tyler S., Schmude, Donald J., Schneider, Analyn, Schreiber, Jürgen, Schroeven-Deceuninck, Hilde, Schultz, John J., Schwab, Ryan, Schwartz, Curtis H., Scoccimarro, Dario, Scott, John F., Scott, Michelle B., Seaton, Bonita L., Seely, Bruce S., Seery, Bernard, Seidleck, Mark, Sembach, Kenneth, Shanahan, Clare Elizabeth, Shaughnessy, Bryan, Shaw, Richard A., Shay, Christopher Michael, Sheehan, Even, Sheth, Kartik, Shih, Hsin-Yi, Shivaei, Irene, Siegel, Noah, Sienkiewicz, Matthew G., Simmons, Debra D., Simon, Bernard P., Sirianni, Marco, Sivaramakrishnan, Anand, Slade, Jeffrey E., Sloan, G. C., Slocum, Christine E., Slowinski, Steven E., Smith, Corbett T., Smith, Eric P., Smith, Erin C., Smith, Koby, Smith, Robert, Smith, Stephanie J., Smolik, John L., Soderblom, David R., Sohn, Sangmo Tony, Sokol, Jeff, Sonneborn, George, Sontag, Christopher D., Sooy, Peter R., Soummer, Remi, Southwood, Dana M., Spain, Kay, Sparmo, Joseph, Speer, David T., Spencer, Richard, Sprofera, Joseph D., Stallcup, Scott S., Stanley, Marcia K., Stansberry, John A., Stark, Christopher C., Starr, Carl W., Stassi, Diane Y., Steck, Jane A., Steeley, Christine D., Stephens, Matthew A., Stephenson, Ralph J., Stewart, Alphonso C., Stiavelli, Massimo, Stockman Jr., Hervey, Strada, Paolo, Straughn, Amber N., Streetman, Scott, Strickland, David Kendal, Strobele, Jingping F., Stuhlinger, Martin, Stys, Jeffrey Edward, Such, Miguel, Sukhatme, Kalyani, Sullivan, Joseph F., Sullivan, Pamela C., Sumner, Sandra M., Sun, Fengwu, Sunnquist, Benjamin Dale, Swade, Daryl Allen, Swam, Michael S., Swenton, Diane F., Swoish, Robby A., Litten, Oi In Tam, Tamas, Laszlo, Tao, Andrew, Taylor, David K., Taylor, Joanna M., Plate, Maurice te, Van Tea, Mason, Teague, Kelly K., Telfer, Randal C., Temim, Tea, Texter, Scott C., Thatte, Deepashri G., Thompson, Christopher Lee, Thompson, Linda M., Thomson, Shaun R., Thronson, Harley, Tierney, C. M., Tikkanen, Tuomo, Tinnin, Lee, Tippet, William Thomas, Todd, Connor William, Tran, Hien D., Trauger, John, Trejo, Edwin Gregorio, Truong, Justin Hoang Vinh, Tsukamoto, Christine L., Tufail, Yasir, Tumlinson, Jason, Tustain, Samuel, Tyra, Harrison, Ubeda, Leonardo, Underwood, Kelli, Uzzo, Michael A., Vaclavik, Steven, Valenduc, Frida, Valenti, Jeff A., Van Campen, Julie, van de Wetering, Inge, Van Der Marel, Roeland P., van Haarlem, Remy, Vandenbussche, Bart, Vanterpool, Dona D., Vernoy, Michael R., Costas, Maria Begoña Vila, Volk, Kevin, Voorzaat, Piet, Voyton, Mark F., Vydra, Ekaterina, Waddy, Darryl J., Waelkens, Christoffel, Wahlgren, Glenn Michael, Walker Jr., Frederick E., Wander, Michel, Warfield, Christine K., Warner, Gerald, Wasiak, Francis C., Wasiak, Matthew F., Wehner, James, Weiler, Kevin R., Weilert, Mark, Weiss, Stanley B., Wells, Martyn, Welty, Alan D., Wheate, Lauren, Wheeler, Thomas P., White, Christy L., Whitehouse, Paul, Whiteleather, Jennifer Margaret, Whitman, William Russell, Williams, Christina C., Willmer, Christopher N. A., Willott, Chris J., Willoughby, Scott P., Wilson, Andrew, Wilson, Debra, Wilson, Donna V., Windhorst, Rogier, Wislowski, Emily Christine, Wolfe, David J., Wolfe, Michael A., Wolff, Schuyler, Wondel, Amancio, Woo, Cindy, Woods, Robert T., Worden, Elaine, Workman, William, Wright, Gillian S., Wu, Carl, Wu, Chi-Rai, Wun, Dakin D., Wymer, Kristen B., Yadetie, Thomas, Yan, Isabelle C., Yang, Keith C., Yates, Kayla L., Yeager, Christopher R., Yerger, Ethan John, Young, Erick T., Young, Gary, Yu, Gene, Yu, Susan, Zak, Dean S., Zeidler, Peter, Zepp, Robert, Zhou, Julia, Zincke, Christian A., Zonak, Stephanie, and Zondag, Elisabeth
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
Twenty-six years ago a small committee report, building on earlier studies, expounded a compelling and poetic vision for the future of astronomy, calling for an infrared-optimized space telescope with an aperture of at least $4m$. With the support of their governments in the US, Europe, and Canada, 20,000 people realized that vision as the $6.5m$ James Webb Space Telescope. A generation of astronomers will celebrate their accomplishments for the life of the mission, potentially as long as 20 years, and beyond. This report and the scientific discoveries that follow are extended thank-you notes to the 20,000 team members. The telescope is working perfectly, with much better image quality than expected. In this and accompanying papers, we give a brief history, describe the observatory, outline its objectives and current observing program, and discuss the inventions and people who made it possible. We cite detailed reports on the design and the measured performance on orbit., Comment: Accepted by PASP for the special issue on The James Webb Space Telescope Overview, 29 pages, 4 figures
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- 2023
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25. X's and Y's in the Midst of the Pandemic: Generational Identity, Mental Well-Being and Life Satisfaction among Filipino Adult Learners
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Dela-Rosa, Ronnell D., Cleofas, Jerome V., and Oducado, Ryan Michael F.
- Abstract
The 2019 novel Coronavirus disease (COVID-19) has increased the mental health challenges and decreased the quality of life among students and the general adult population. However, adult learners and non-traditional students who are currently at their quarter and midlife during the pandemic, remain underrepresented in well-being research. Moreover, the unique sociocultural and historical contexts specific to generational cohorts may have an impact on the way they experience and cope with the challenges brought about by the pandemic. This study sought to determine the relationships among generational identity, mental well-being and life satisfaction among Millennial and Generation X Filipino adult learners. A total of 543 adult learners participated in this online cross-sectional study. Findings suggest that young millennials reported lower levels of mental well-being and life satisfaction compared to old millennials and Gen Xers. Moreover, mental well-being was found to be a predictor of life satisfaction among Filipino adult learners, regardless of their generational identity. Schools must implement initiatives to monitor and address mental health issues among adult learners, contextualized to quarter and midlife contexts.
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- 2022
26. If Youre Not Confused, Youre Not Paying Attention: Ochrobactrum Is Not Brucella.
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Moreno, Edgardo, Middlebrook, Earl, Altamirano-Silva, Pamela, Al Dahouk, Sascha, Araj, George, Arce-Gorvel, Vilma, Arenas-Gamboa, Ángela, Ariza, Javier, Barquero-Calvo, Elías, Battelli, Giorgio, Bertu, Wilson, Blasco, José, Bosilkovski, Mile, Cadmus, Simeon, Caswell, Clayton, Celli, Jean, Chacón-Díaz, Carlos, Chaves-Olarte, Esteban, Comerci, Diego, Conde-Álvarez, Raquel, Cook, Elizabeth, Cravero, Silvio, Dadar, Maryam, De Boelle, Xavier, De Massis, Fabrizio, Díaz, Ramón, Escobar, Gabriela, Fernández-Lago, Luis, Ficht, Thomas, Foster, Jeffrey, Garin-Bastuji, Bruno, Godfroid, Jacques, Gorvel, Jean-Pierre, Güler, Leyla, Erdenliğ-Gürbilek, Sevil, Gusi, Amayel, Guzmán-Verri, Caterina, Hai, Jiang, Hernández-Mora, Gabriela, Iriarte, Maite, Jacob, Nestor, Keriel, Anne, Khames, Maamar, Köhler, Stephan, Letesson, Jean-Jacques, Loperena-Barber, Maite, López-Goñi, Ignacio, McGiven, John, Melzer, Falk, Mora-Cartin, Ricardo, Moran-Gilad, Jacob, Muñoz, Pilar, Neubauer, Heinrich, OCallaghan, David, Ocholi, Reuben, Oñate, Ángel, Pandey, Piyush, Pappas, Georgios, Pembroke, J, Roop, Martin, Ruiz-Villalonos, Nazaret, Ryan, Michael, Salcedo, Suzana, Salvador-Bescós, Miriam, Sangari, Félix, de Lima Santos, Renato, Seimenis, Aristarchos, Splitter, Gary, Suárez-Esquivel, Marcela, Tabbaa, Darem, Trangoni, Marcos, Vizcaíno, Nieves, Wareth, Gamal, Welburn, Susan, Whatmore, Adrian, Zúñiga-Ripa, Amaia, Moriyón, Ignacio, and Tsolis, Renée
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Brucella ,Ochrobactrum ,Ochrobactrum ,Brucella ,Terminology as Topic ,Phylogeny ,Brucellosis ,Humans ,Opportunistic Infections - Abstract
Bacteria of the genus Brucella are facultative intracellular parasites that cause brucellosis, a severe animal and human disease. Recently, a group of taxonomists merged the brucellae with the primarily free-living, phylogenetically related Ochrobactrum spp. in the genus Brucella. This change, founded only on global genomic analysis and the fortuitous isolation of some opportunistic Ochrobactrum spp. from medically compromised patients, has been automatically included in culture collections and databases. We argue that clinical and environmental microbiologists should not accept this nomenclature, and we advise against its use because (i) it was presented without in-depth phylogenetic analyses and did not consider alternative taxonomic solutions; (ii) it was launched without the input of experts in brucellosis or Ochrobactrum; (iii) it applies a non-consensus genus concept that disregards taxonomically relevant differences in structure, physiology, population structure, core-pangenome assemblies, genome structure, genomic traits, clinical features, treatment, prevention, diagnosis, genus description rules, and, above all, pathogenicity; and (iv) placing these two bacterial groups in the same genus creates risks for veterinarians, medical doctors, clinical laboratories, health authorities, and legislators who deal with brucellosis, a disease that is particularly relevant in low- and middle-income countries. Based on all this information, we urge microbiologists, bacterial collections, genomic databases, journals, and public health boards to keep the Brucella and Ochrobactrum genera separate to avoid further bewilderment and harm.
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- 2023
27. Cross-Cultural Insights from Two Global Mental Health Studies: Self-Enhancement and Ingroup Biases
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Kotera, Yasuhiro, Ronaldson, Amy, Hayes, Daniel, Hunter-Brown, Holly, McPhilbin, Merly, Dunnett, Danielle, Jebara, Tesnime, Takhi, Simran, Masuda, Takahiko, Camacho, Elizabeth, Bakolis, Ioannis, Repper, Julie, Meddings, Sara, Stergiopoulos, Vicky, Brophy, Lisa, De Ruysscher, Clara, Okoliyski, Michail, Kubinová, Petra, Eplov, Lene, Toernes, Charlotte, Narusson, Dagmar, Tinland, Aurélie, Puschner, Bernd, Hiltensperger, Ramona, Lucchi, Fabio, Miyamoto, Yuki, Castelein, Stynke, Borg, Marit, Klevan, Trude Gøril, Meng, Roger Tan Boon, Sornchai, Chatdanai, Tiengtom, Kruawon, Farkas, Marianne, Jones, Hannah Moreland, Moore, Edith, Butler, Ann, Mpango, Richard, Tse, Samson, Kondor, Zsuzsa, Ryan, Michael, Zuaboni, Gianfranco, Elton, Dan, Grant-Rowles, Jason, McNaughton, Rebecca, Harcla, Claire, Vanderplasschen, Wouter, Arbour, Simone, Silverstone, Denise, Bejerholm, Ulrika, Powell, Candice, Ochoa, Susana, Garcia-Franco, Mar, Tolonen, Jonna, Yeo, Caroline, Charles, Ashleigh, Jepps, Jessica, Simpson, Adelabu, Kellermann, Vanessa, Todowede, Olamide, Asher, Laura, Murakami, Michio, Hopkins, Liza, Jahau, Ngurzoi, Arakawa, Naoko, Scanferla, Elisabetta, Henderson, Claire, and Slade, Mike
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- 2024
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28. Identification of Preoperative Risk Factors for the Development of Cardiac Allograft Vasculopathy: A Systematic Review
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Roberts, Will S., Pirovic, Annalena, Ionescu, Adrian, Ryan, Michael, Schaffer, Sarah, and Nguyen, Hoang
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- 2024
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29. A Lower Bound on the Mass of Compact Objects from Dissipative Dark Matter
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Gurian, James, Ryan, Michael, Schon, Sarah, Jeong, Donghui, and Shandera, Sarah
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Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We study the minimum mass of dark compact objects formed in dissipative dark-matter halos and show that the simple atomic-dark-matter model consistent with all current observations can create low-mass fragments that can evolve into compact objects forbidden by stellar astrophysics. We model the collapse of the dark halo's dense core by tracing the thermo-chemical evolution of a uniform-density volume element under two extreme assumptions for density evolution: hydrostatic equilibrium and pressure-free collapse. We then compute the opacity-limited minimum fragment mass from the minimum temperature achieved in these calculations., Comment: 6 pages, 3 figures. Updated figures to reflect a corrected H2 dissociation rate in DarkKROME
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- 2022
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30. Online Learning in Nursing Education during the COVID-19 Pandemic: Stress, Satisfaction, and Academic Performance
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Oducado, Ryan Michael F. and Estoque, Homelo V.
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Background: Traditional face-to-face instruction swiftly transitioned into online learning during the global COVID-19 outbreak. Students' experiences and academic performance in this new learning platform need evaluation. Purpose: The purpose of this research was to determine the undergraduate nursing students' stress, satisfaction, and academic performance during online learning. Methods: This research was considered a cross-sectional and descriptive-correlational study. The research participants were the second-year undergraduate nursing students from one nursing school in the Philippines. The data were collected using a web-based survey questionnaire and then analyzed using descriptive statistics and Spearman's rho correlation. Results: The results revealed that the undergraduate nursing students considered having online learning during the COVID-19 outbreak to be stressful (44.4%) and very stressful (47.2%). Moreover, the undergraduate nursing students had low satisfaction (37%) and moderate satisfaction (46.3%) having the online learning during the COVID-19 outbreak. The undergraduate nursing students' academic performance were affected by the COVID-19 pandemic and resulted in poor (37%) to fair (50%) academic performance and were considerably (43.6%) and greatly (30.6%) affected by the pandemic. Online learning stress had a significant and inverse correlation with online learning satisfaction (p=0.000) and academic performance (p=0.012). Conclusion: Stress negatively impacts the undergraduate nursing students' satisfaction and academic performance. This research suggests that certain measures should be performed to reduce stress and improve the online teaching-learning processes during the COVID-19 outbreak.
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- 2021
31. Effect of TiB2 Addition on Microstructure and Mechanical Properties of AA8009 Alloy Fabricated by Laser Additive Manufacturing
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Xiong, Xinxing, Yu, Sijie, Wang, Pei, Qi, Junfang, Li, Haichao, Wang, Xulei, Ryan, Michael, Bhaduri, Debajyoti, and Setchi, Rossitza
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- 2024
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32. Single Image Internal Distribution Measurement Using Non-Local Variational Autoencoder
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Sarker, Yeahia, Imran, Abdullah-Al-Zubaer, Ahamed, Md Hafiz, Chakrabortty, Ripon K., Ryan, Michael J., and Das, Sajal K.
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Deep learning-based super-resolution methods have shown great promise, especially for single image super-resolution (SISR) tasks. Despite the performance gain, these methods are limited due to their reliance on copious data for model training. In addition, supervised SISR solutions rely on local neighbourhood information focusing only on the feature learning processes for the reconstruction of low-dimensional images. Moreover, they fail to capitalize on global context due to their constrained receptive field. To combat these challenges, this paper proposes a novel image-specific solution, namely non-local variational autoencoder (\texttt{NLVAE}), to reconstruct a high-resolution (HR) image from a single low-resolution (LR) image without the need for any prior training. To harvest maximum details for various receptive regions and high-quality synthetic images, \texttt{NLVAE} is introduced as a self-supervised strategy that reconstructs high-resolution images using disentangled information from the non-local neighbourhood. Experimental results from seven benchmark datasets demonstrate the effectiveness of the \texttt{NLVAE} model. Moreover, our proposed model outperforms a number of baseline and state-of-the-art methods as confirmed through extensive qualitative and quantitative evaluations., Comment: A Preprint Version
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- 2022
33. Financial Advice, Plan Choice, and Retirement Plan Satisfaction
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Ryan, Michael P. and Cude, Brenda J.
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Most private sector employees have access to defined contribution retirement plans while public sector employees often may choose defined benefit or defined contribution plans. This research utilized a survey of faculty to analyze retirement plan satisfaction. Advice from a financial planner was positively associated with satisfaction with portability. Retirement plan knowledge was negatively associated with satisfaction with the decision period. Selection of a defined benefit plan was positively related to four aspects of satisfaction and negatively related to regret. Financial planners assisting individuals who face such choices should acknowledge the decision's challenges and evaluate the client's level of retirement planning knowledge. Focusing on long-term goals and the client's investment and mobility risk tolerance may be helpful, especially after market corrections.
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- 2021
34. Perceived Stress Due to COVID-19 Pandemic among Employed Professional Teachers
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Oducado, Ryan Michael F., Rabacal, Judith S., Moralista, Rome B., and Tamdang, Khen A.
- Abstract
The unexpected occurrence of the COVID-19 outbreak has undeniably disrupted the normalcy of life. Stress has become an important concern in education since the COVID-19 outbreak. This descriptive-correlational online survey administered in August 2020 utilized the COVID-19 Perceived Stress Scale (COVID-19 PSS-10) to assess the COVID-19 perceived stress among employed Filipino teachers. Whitney U and Kruskal-Wallis tested for differences while Spearman's rho was used to analyze the correlation between variables. Results demonstrated that more than half of teachers experienced moderate COVID-19 stress. Females experienced significantly higher COVID-19 stress compared to males. A negative correlation was noted between self-rated health and COVID-19 stress while a positive correlation was found between the perceive risk of getting COVID-19 infection and COVID-19 stress. This study highlights that steps must be undertaken to help teachers deal with the stress of the COVID-19 crisis as well as they must be provided or taught with stress management interventions during this pandemic. This study could be used as a baseline for future research to assess the impact of COVID-19 stress among professional teachers.
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- 2021
35. Personal Resilience and Its Influence on COVID-19 Stress, Anxiety and Fear among Graduate Students in the Philippines
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Oducado, Ryan Michael F., Parreño-Lachica, Geneveve M., and Rabacal, Judith S.
- Abstract
The COVID-19 pandemic is putting new and unforeseen pressures and has resulted in substantial disruption in the lives of the people across the globe. Although there is a budding body of literature on the impact of COVID-19 on mental health and psychological well-being, little research has been published among Filipino graduate students in the context of a pandemic. This descriptive-correlational, cross-sectional research examined the relationship of resilience on COVID-19 perceived stress, anxiety, and fear. Two-hundred and three graduate students participated in the online survey conducted in the last week of August 2020. Four self-reported questionnaires were used to gather the data. Descriptive statistics and correlational analysis were performed. Results indicated that the composite scores of the COVID-19 stress, anxiety, and fear were 2.81 (SD=0.605), 3.94 (SD=0.686), and 3.03 (SD=1.004) respectively. The composite score on the resilience scale was 3.33 (SD=0.496). COVID-19 stress and fear had a significant inverse correlation with resilience. Resilience has a protective influence on COVID-19 fear and is pivotal to cope with COVID-19 stress. Educational institutions may need to cultivate and harness the resilient trait of graduate students in the midst of pandemic and other stressful events to help combat negative mental states and undesirable psychological consequences.
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- 2021
36. Biallelic pathogenic variants in COX11 are associated with an infantile-onset mitochondrial encephalopathy.
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Rius, Rocio, Bennett, Neal, Bhattacharya, Kaustuv, Riley, Lisa, Yüksel, Zafer, Formosa, Luke, Compton, Alison, Dale, Russell, Cowley, Mark, Gayevskiy, Velimir, Al Tala, Saeed, Almehery, Abdulrahman, Ryan, Michael, Thorburn, David, Christodoulou, John, and Nakamura, Ken
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COX11 ,OXPHOS ,coenzyme Q ,mitochondrial disorders ,Humans ,Mitochondrial Encephalomyopathies ,Mitochondrial Diseases ,Mitochondria ,Adenosine Triphosphate ,Copper Transport Proteins ,Mitochondrial Proteins ,Electron Transport Chain Complex Proteins - Abstract
Primary mitochondrial diseases are a group of genetically and clinically heterogeneous disorders resulting from oxidative phosphorylation (OXPHOS) defects. COX11 encodes a copper chaperone that participates in the assembly of complex IV and has not been previously linked to human disease. In a previous study, we identified that COX11 knockdown decreased cellular adenosine triphosphate (ATP) derived from respiration, and that ATP levels could be restored with coenzyme Q10 (CoQ10 ) supplementation. This finding is surprising since COX11 has no known role in CoQ10 biosynthesis. Here, we report a novel gene-disease association by identifying biallelic pathogenic variants in COX11 associated with infantile-onset mitochondrial encephalopathies in two unrelated families using trio genome and exome sequencing. Functional studies showed that mutant COX11 fibroblasts had decreased ATP levels which could be rescued by CoQ10 . These results not only suggest that COX11 variants cause defects in energy production but reveal a potential metabolic therapeutic strategy for patients with COX11 variants.
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- 2022
37. Exotic Compact Objects: The Dark White Dwarf
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Ryan, Michael and Radice, David
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Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Cosmology and Nongalactic Astrophysics ,High Energy Physics - Phenomenology - Abstract
Several dark matter models allow for the intriguing possibility of exotic compact object formation. These objects might have unique characteristics that set them apart from their baryonic counterparts. Furthermore, gravitational wave observations of their mergers may provide the only direct window on a potentially entirely hidden sector. Here we discuss dark white dwarfs, starting with an overview of the microphysical model and analytic scaling relations of macroscopic properties derived from the non-relativistic limit. We use the full relativistic formalism to confirm these scaling relations and demonstrate that dark white dwarfs, if they exist, would have masses and tidal deformabilities that are very different from those of baryonic compact objects. Further, and most importantly, we demonstrate that dark white dwarf mergers would be detectable by current or planned gravitational observatories across several orders of magnitude in the particle-mass parameter space. Lastly, we find universal relations analogous to the compactness-Love and binary Love relations in neutron star literature. Using these results, we show that gravitational wave observations would constrain the properties of the dark matter particles constituting these objects., Comment: 11 pages, 6 figures. Updated with changes for published version
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- 2022
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38. Condition dependence in the sexual communication system of the túngara frog
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Wilhite, Kyle O. and Ryan, Michael J.
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- 2024
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39. Molecular Chemistry for Dark Matter II: Recombination, Molecule Formation, and Halo Mass Function in Atomic Dark Matter
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Gurian, James, Jeong, Donghui, Ryan, Michael, and Shandera, Sarah
- Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
Dissipative dark matter predicts rich observable phenomena that can be tested with future large-scale structure surveys. As a specific example, we study atomic dark matter, consisting of a heavy particle and a light particle charged under a dark electromagnetism. In particular, we calculate the cosmological evolution of atomic dark matter focusing on dark recombination and dark-molecule formation. We have obtained the relevant interaction-rate coefficients by re-scaling the rates for normal hydrogen, and evolved the abundances for ionized, atomic, and molecular states using a modified version of Recfast++ (which we have released publicly at https://github.com/jamesgurian/RecfastJulia). We also provide an analytical approximation for the final abundances. We then calculate the effects of the atomic dark matter on the linear power spectrum, which enter through a dark-photon diffusion and dark acoustic oscillations. At the formation time, the atomic dark matter model suppresses halo abundances on scales smaller than the diffusion scale, just like the warm dark matter models suppress the abundance below the free-streaming scale. The subsequent evolution with radiative cooling, however, will alter the halo mass function further., Comment: 21 pages, 6 figures; Updated to match published version
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- 2021
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40. Molecular Chemistry for Dark Matter III: DarkKROME
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Ryan, Michael, Shandera, Sarah, Gurian, James, and Jeong, Donghui
- Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
Dark matter that is dissipative may cool sufficiently to form compact objects, including black holes. Determining the abundance and mass spectrum of those objects requires an accurate model of the chemistry relevant for the cooling of the dark matter gas. Here we introduce a chemistry tool for dark matter, DarkKROME, an extension of the KROME software package. DarkKROME is designed to include all atomic and molecular processes relevant for dark matter with two unequal-mass fundamental fermions, interacting via a massless-photon mediated $U(1)$ force. We use DarkKROME to perform one-zone collapse simulations and study the evolution of temperature-density phase diagrams for various dark-sector parameters., Comment: 17 pages, 7 figures. Updated with changes for published version. DarkKROME is publicly available at https://bitbucket.org/mtryan83/darkkrome
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- 2021
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41. Learning, Growing, Embracing, Transitioning, and Changing: Exploring Resilient Teaching and Learning during the COVID-19 Shutdown
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Ryan, Michael G., Cziraky, Megan, Kain, Kristen, McKendrick, Helena, and Miller, Meredith
- Abstract
This paper presents a collective self-study that examines what student teachers and a teacher educator learned from our collective work during the initial Covid-19 shutdown. Using a theory of collaborative inquiry grounded in Brené Brown's work on resiliency and vulnerability, we examined our work during this time of great struggle. We learned how severe challenges prompted us to enhance our practices and reimagine typical roles while thinking critically and creatively about teaching and learning.
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- 2023
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42. Molecular Chemistry for Dark Matter
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Ryan, Michael, Gurian, James, Shandera, Sarah, and Jeong, Donghui
- Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics ,Physics - Chemical Physics - Abstract
Molecular cooling is essential for studying the formation of sub-structure of dissipative dark-matter halos that may host compact objects such as black holes. Here, we analyze the reaction rates relevant for the formation, dissociation, and transition of hydrogenic molecules while allowing for different values of the physical parameters: the coupling constant, the proton mass, and the electron mass. For all cases, we re-scale the reaction rates for the standard molecular hydrogen, so our results are valid as long as the dark matter is weakly coupled and one of the fermions is much heavier than the other. These results will allow a robust numerical treatment of cosmic structure, in particular for mini-halos for which molecular cooling is important, in a dissipative dark matter scenario., Comment: 30 pages, 5 figures. Updated with changes for published version
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- 2021
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43. Health inequities and the inappropriate use of race in nephrology
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Eneanya, Nwamaka D, Boulware, L Ebony, Tsai, Jennifer, Bruce, Marino A, Ford, Chandra L, Harris, Christina, Morales, Leo S, Ryan, Michael J, Reese, Peter P, Thorpe, Roland J, Morse, Michelle, Walker, Valencia, Arogundade, Fatiu A, Lopes, Antonio A, and Norris, Keith C
- Subjects
Biomedical and Clinical Sciences ,Clinical Sciences ,Basic Behavioral and Social Science ,Health Disparities ,Prevention ,Clinical Research ,Minority Health ,Behavioral and Social Science ,Kidney Disease ,Renal and urogenital ,Generic health relevance ,Good Health and Well Being ,Health Inequities ,Health Status Disparities ,Humans ,Nephrology ,Racism ,Social Justice ,United States ,Urology & Nephrology ,Clinical sciences - Abstract
Chronic kidney disease is an important clinical condition beset with racial and ethnic disparities that are associated with social inequities. Many medical schools and health centres across the USA have raised concerns about the use of race - a socio-political construct that mediates the effect of structural racism - as a fixed, measurable biological variable in the assessment of kidney disease. We discuss the role of race and racism in medicine and outline many of the concerns that have been raised by the medical and social justice communities regarding the use of race in estimated glomerular filtration rate equations, including its relationship with structural racism and racial inequities. Although race can be used to identify populations who experience racism and subsequent differential treatment, ignoring the biological and social heterogeneity within any racial group and inferring innate individual-level attributes is methodologically flawed. Therefore, although more accurate measures for estimating kidney function are under investigation, we support the use of biomarkers for determining estimated glomerular filtration rate without adjustments for race. Clinicians have a duty to recognize and elucidate the nuances of racism and its effects on health and disease. Otherwise, we risk perpetuating historical racist concepts in medicine that exacerbate health inequities and impact marginalized patient populations.
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- 2022
44. Faculty Perception toward Online Education in a State College in the Philippines during the Coronavirus Disease 19 (COVID-19) Pandemic
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Moralista, Rome B. and Oducado, Ryan Michael F.
- Abstract
This research determined the perception toward online education among faculty in a State College in the Philippines. This study used a descriptive online survey involving a sample of 27 faculty members. Statistical tools employed were descriptive statistics, Mann-Whitney U test, and Kruskal-Wallis test. Research findings indicated that the majority of faculty had intermediate computer competency and had no training in online teaching, with only a few having a very stable internet connection. Faculty considered online education to result in more academic dishonesty, impersonal and lack feeling compared to face-to-face classes, and difficult to manage in terms of technology. Additionally, faculty were undecided if they are in favor of online education. The faculty significantly differed whether they are in favor of online education based on age, sex, college, educational attainment, years in teaching, academic rank, level taught, and employment status. Faculty of Higher Education Institutions must be provided with continued support and training as they adapt to the new normal in the higher education landscape and as they embrace the instructional challenges brought by the Coronavirus disease 19 pandemic.
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- 2020
45. COVID-19 Impact on the Quality of Life of Teachers: A Cross-Sectional Study
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Rabacal, Judith S., Oducado, Ryan Michael F., and Tamdang, Khen
- Abstract
The COVID-19 global health crisis has affected the mental and psychological health and well-being of the people around the world. However, little is known about the impact of COVID-19 among Filipino teachers. This study was conducted to determine the impact of the COVID-19 pandemic on the quality of life (QoL) of professional teachers in the Philippines. A descriptive cross-sectional study was used involving 139 licensed professional teachers. The COVID-19 Impact on Quality of Life (COV19-QoL) was the primary measure used in this study. Descriptive statistics, t-test, and one-way ANOVA were the statistical tools employed to analyze the data. Results indicated a moderate COVID-19 impact on the QoL of the teachers. There was a significant difference in the impact of COVID-19 on QoL by degree program. However, the impact of COVID-19 on QoL did not significantly differ by age, sex, marital status, employment status, monthly salary, presence of a COVID-19 case near their residence, personal knowledge of someone who was infected or died of COVID-19, presence of a medical condition, and perceived threat. The psychological well-being and QoL of teachers must be recognized and teachers must be provided with support as they continue to adapt to the impact brought by the COVID-19 pandemic. This study contributes to the growing literature on the impact of the pandemic. [This paper was published in "Asian Journal for Public Opinion Research."]
- Published
- 2020
46. English Language Proficiency and Its Relationship with Academic Performance and the Nurse Licensure Examination
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Oducado, Ryan Michael F., Sotelo, Marianne G., Ramirez, Liza Marie M., Habaña, Maylin P., and Belo-Delariarte, Rosana Grace
- Abstract
Background: Studies have shown that various factors influence students' success in nursing school and the Nurse Licensure Examination (NLE). Such factors should be studied as foundations of the nursing programs. Problems with proficiency in the language used by the instructor to teach curricular courses may be considered a barrier to effective learning and academic success. Purpose: This study ascertained the influence of English language proficiency on the academic performance of students in professional nursing courses and the NLE. Methods: This study employed a retrospective descriptive correlational study design. Secondary analysis of existing research data sets of 141 nursing students in one nursing school in the Philippines was performed. Pearson's r was used to determine the correlation between variables. Results: Findings showed that there were significant correlations between academic performance and the Verbal Ability subscale of the Nursing Aptitude Test (p=0.003) and the three English courses included in the nursing curriculum (p=0.000). There were also significant correlations between the NLE ratings and Verbal Ability (p=0.000) and the three English courses (p=0.000). Conclusion: English language proficiency is an important factor in determining the academic and licensure success of nursing students. Nursing schools must ensure that approaches in improving students' English language proficiency must be well integrated into the undergraduate nursing program.
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- 2020
47. Correlation between Theoretical Classroom Instruction and Related Learning Experiences: Evidence from a Philippine Nursing University
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Oducado, Ryan Michael F., Amboy, Mary Kristine Q., Penuela, Ayesha C., and Belo-Delariarte, Rosana Grace
- Abstract
In nursing education, it is expected that theory underlies practice. However, studies have indicated nursing students still experience theory and practice gap. This study attempted to determine the relationship between theoretical classroom instruction and Related Learning Experienc es (RLE) of nursing students. Using existing data set of nursing graduates in a Philippine Nursing University for a five-year cohort (N=653), this study employed a descriptive correlational research design. Pearson's correlation and simple linear regression were used to analyze the data. Results indicated that a significant relationship existed between theoretical classroom instruction and RLE performance of nursing students. Theoretical classroom instruction explained 64% of the variance in RLE. This study highlights the importance of good theoretical instruction in predicting the performance of nursing students in the practicum or RLE component of nursing education and training. Success in the didactic portion significantly contributes to the success of the practical part of the nursing curriculum. Nursing academic institutions must continually strive to promote the transfer of learning from classroom to actual care setting to help bridge the gap between theory and practice.
- Published
- 2019
48. Gen Z Nursing Students' Usage, Perception and Satisfaction with Facebook for Educational Purposes: Tool for Learning or Distraction
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Oducado, Ryan Michael F.
- Abstract
Introduction: Gen Z has started to enter the portals of nursing classrooms. They are technology and socially-savvy consumers who grew up in the world of internet and smartphones. However, little is known about this generation, particularly among nursing students and how they use Facebook for academic purposes. The purpose of this study was to determine nursing students' usage, perception, and satisfaction with Facebook for educational purposes. Methods: A descriptive, cross-sectional research design was used. A total of 113 conveniently chosen nursing students in a Nursing College in the Philippines participated in the survey. Data were collected using an adopted questionnaire administered via online survey. Descriptive and inferential statistical tools were used to analyze the data. Results: Results indicated that majority of nursing students moderately (M=3.58) use Facebook for educational purposes to communicate, collaborate, and share academic or learning materials. They generally had a good perception of (M=4.36) and were highly satisfied (Mean=3.95) with using Facebook for educational purposes. The main challenge reported by 81.42% of nursing students in the use of Facebook was distraction from other Facebook contents. There was a significant positive relationship between usage and perception (p=0.000) likewise between satisfaction and recommendation in the use of Facebook for educational purposes (p=0.000). Conclusions: While Facebook showcases promising potential as a learning tool, challenges associated with its use in nursing education must be properly addressed. Careful consideration and thoughtful planning are necessary for nursing schools to maximize the advantages of Facebook as a supplemental tool for learning.
- Published
- 2019
49. Graphene nanoplatelets reinforced Al-Cu-Mg composite fabricated using laser powder bed fusion: microstructure, mechanical properties, and wear behaviour
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Pekok, Mulla Ahmet, Setchi, Rossitza, Ryan, Michael, Brousseau, Emmanuel, Han, Quanquan, and Gu, Dongdong
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- 2023
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50. Clinic-based perspectives on the integration of patient-reported outcomes (PROs) in a tertiary cancer center
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Al-Antary, Nada, Hirko, Kelly A., Elsiss, Farah, Zatirka, Theresa, Ryan, Michael, Movsas, Benjamin, Chang, Steven S., Adjei Boakye, Eric, and Tam, Samantha H.
- Published
- 2024
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