15,356 results on '"Smyth P"'
Search Results
102. A comparison of the use of traditional glazing and a novel concentrated photovoltaic glazing (CoPVG) for building solar gain analysis using IESVE
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Chang, Roma, Mondol, Jayanta Deb, Smyth, Mervyn, Zacharopoulos, Aggelos, and Pugsley, Adrian
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- 2024
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103. Deletion of Aurora kinase A prevents the development of polycystic kidney disease in mice
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Tham, Ming Shen, Cottle, Denny L., Zylberberg, Allara K., Short, Kieran M., Jones, Lynelle K., Chan, Perkin, Conduit, Sarah E., Dyson, Jennifer M., Mitchell, Christina A., and Smyth, Ian M.
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- 2024
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104. Social visual attention as a treatment outcome: evaluating the social games for autistic adolescents (SAGA) intervention
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Scherf, K. Suzanne, Griffin, Jason W., Geier, Charles F., and Smyth, Joshua M.
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- 2024
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105. Barriers and Facilitators of Treatment Engagement: Perspectives Shared by Survivors of Adolescent Sex Trafficking and Experienced Clinicians
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Feldwisch, Rachel Paige, Jansing, Christie, Betancourt, Isabella, Waghray, Avish, Horne, Kayla, Sanders, Christopher, and Jessup-Smyth, Megan
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- 2024
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106. Mammal responses to global changes in human activity vary by trophic group and landscape
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Burton, A. Cole, Beirne, Christopher, Gaynor, Kaitlyn M., Sun, Catherine, Granados, Alys, Allen, Maximilian L., Alston, Jesse M., Alvarenga, Guilherme C., Calderón, Francisco Samuel Álvarez, Amir, Zachary, Anhalt-Depies, Christine, Appel, Cara, Arroyo-Arce, Stephanny, Balme, Guy, Bar-Massada, Avi, Barcelos, Daniele, Barr, Evan, Barthelmess, Erika L., Baruzzi, Carolina, Basak, Sayantani M., Beenaerts, Natalie, Belmaker, Jonathan, Belova, Olgirda, Bezarević, Branko, Bird, Tori, Bogan, Daniel A., Bogdanović, Neda, Boyce, Andy, Boyce, Mark, Brandt, LaRoy, Brodie, Jedediah F., Brooke, Jarred, Bubnicki, Jakub W., Cagnacci, Francesca, Carr, Benjamin Scott, Carvalho, João, Casaer, Jim, Černe, Rok, Chen, Ron, Chow, Emily, Churski, Marcin, Cincotta, Connor, Ćirović, Duško, Coates, T. D., Compton, Justin, Coon, Courtney, Cove, Michael V., Crupi, Anthony P., Farra, Simone Dal, Darracq, Andrea K., Davis, Miranda, Dawe, Kimberly, De Waele, Valerie, Descalzo, Esther, Diserens, Tom A., Drimaj, Jakub, Duľa, Martin, Ellis-Felege, Susan, Ellison, Caroline, Ertürk, Alper, Fantle-Lepczyk, Jean, Favreau, Jorie, Fennell, Mitch, Ferreras, Pablo, Ferretti, Francesco, Fiderer, Christian, Finnegan, Laura, Fisher, Jason T., Fisher-Reid, M. Caitlin, Flaherty, Elizabeth A., Fležar, Urša, Flousek, Jiří, Foca, Jennifer M., Ford, Adam, Franzetti, Barbara, Frey, Sandra, Fritts, Sarah, Frýbová, Šárka, Furnas, Brett, Gerber, Brian, Geyle, Hayley M., Giménez, Diego G., Giordano, Anthony J., Gomercic, Tomislav, Gompper, Matthew E., Gräbin, Diogo Maia, Gray, Morgan, Green, Austin, Hagen, Robert, Hagen, Robert (Bob), Hammerich, Steven, Hanekom, Catharine, Hansen, Christopher, Hasstedt, Steven, Hebblewhite, Mark, Heurich, Marco, Hofmeester, Tim R., Hubbard, Tru, Jachowski, David, Jansen, Patrick A., Jaspers, Kodi Jo, Jensen, Alex, Jordan, Mark, Kaizer, Mariane C., Kelly, Marcella J., Kohl, Michel T., Kramer-Schadt, Stephanie, Krofel, Miha, Krug, Andrea, Kuhn, Kellie M., Kuijper, Dries P. J., Kuprewicz, Erin K., Kusak, Josip, Kutal, Miroslav, Lafferty, Diana J. R., LaRose, Summer, Lashley, Marcus, Lathrop, Richard, Lee, Jr, Thomas E., Lepczyk, Christopher, Lesmeister, Damon B., Licoppe, Alain, Linnell, Marco, Loch, Jan, Long, Robert, Lonsinger, Robert C., Louvrier, Julie, Luskin, Matthew Scott, MacKay, Paula, Maher, Sean, Manet, Benoît, Mann, Gareth K. H., Marshall, Andrew J., Mason, David, McDonald, Zara, McKay, Tracy, McShea, William J., Mechler, Matt, Miaud, Claude, Millspaugh, Joshua J., Monteza-Moreno, Claudio M., Moreira-Arce, Dario, Mullen, Kayleigh, Nagy, Christopher, Naidoo, Robin, Namir, Itai, Nelson, Carrie, O’Neill, Brian, O’Mara, M. Teague, Oberosler, Valentina, Osorio, Christian, Ossi, Federico, Palencia, Pablo, Pearson, Kimberly, Pedrotti, Luca, Pekins, Charles E., Pendergast, Mary, Pinho, Fernando F., Plhal, Radim, Pocasangre-Orellana, Xochilt, Price, Melissa, Procko, Michael, Proctor, Mike D., Ramalho, Emiliano Esterci, Ranc, Nathan, Reljic, Slaven, Remine, Katie, Rentz, Michael, Revord, Ronald, Reyna-Hurtado, Rafael, Risch, Derek, Ritchie, Euan G., Romero, Andrea, Rota, Christopher, Rovero, Francesco, Rowe, Helen, Rutz, Christian, Salvatori, Marco, Sandow, Derek, Schalk, Christopher M., Scherger, Jenna, Schipper, Jan, Scognamillo, Daniel G., Şekercioğlu, Çağan H., Semenzato, Paola, Sevin, Jennifer, Shamon, Hila, Shier, Catherine, Silva-Rodríguez, Eduardo A., Sindicic, Magda, Smyth, Lucy K., Soyumert, Anil, Sprague, Tiffany, St. Clair, Colleen Cassady, Stenglein, Jennifer, Stephens, Philip A., Stępniak, Kinga Magdalena, Stevens, Michael, Stevenson, Cassondra, Ternyik, Bálint, Thomson, Ian, Torres, Rita T., Tremblay, Joan, Urrutia, Tomas, Vacher, Jean-Pierre, Visscher, Darcy, Webb, Stephen L., Weber, Julian, Weiss, Katherine C. B., Whipple, Laura S., Whittier, Christopher A., Whittington, Jesse, Wierzbowska, Izabela, Wikelski, Martin, Williamson, Jacque, Wilmers, Christopher C., Windle, Todd, Wittmer, Heiko U., Zharikov, Yuri, Zorn, Adam, and Kays, Roland
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- 2024
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107. Clinical practice guidelines for esophagogastric junction cancer: Upper GI Oncology Summit 2023
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Kitagawa, Yuko, Matsuda, Satoru, Gotoda, Takuji, Kato, Ken, Wijnhoven, Bas, Lordick, Florian, Bhandari, Pradeep, Kawakubo, Hirofumi, Kodera, Yasuhiro, Terashima, Masanori, Muro, Kei, Takeuchi, Hiroya, Mansfield, Paul F., Kurokawa, Yukinori, So, Jimmy, Mönig, Stefan Paul, Shitara, Kohei, Rha, Sun Young, Janjigian, Yelena, Takahari, Daisuke, Chau, Ian, Sharma, Prateek, Ji, Jiafu, de Manzoni, Giovanni, Nilsson, Magnus, Kassab, Paulo, Hofstetter, Wayne L., Smyth, Elizabeth Catherine, Lorenzen, Sylvie, Doki, Yuichiro, Law, Simon, Oh, Do-Youn, Ho, Khek Yu, Koike, Tomoyuki, Shen, Lin, van Hillegersberg, Richard, Kawakami, Hisato, Xu, Rui-Hua, Wainberg, Zev, Yahagi, Naohisa, Lee, Yeong Yeh, Singh, Rajvinder, Ryu, Min-Hee, Ishihara, Ryu, Xiao, Zili, Kusano, Chika, Grabsch, Heike Irmgard, Hara, Hiroki, Mukaisho, Ken-ichi, Makino, Tomoki, Kanda, Mitsuro, Booka, Eisuke, Suzuki, Sho, Hatta, Waku, Kato, Motohiko, Maekawa, Akira, Kawazoe, Akihito, Yamamoto, Shun, Nakayama, Izuma, Narita, Yukiya, Yang, Han-Kwang, Yoshida, Masahiro, and Sano, Takeshi
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- 2024
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108. Facing Obstacles with Equanimity: Trait Equanimity Attenuates the Positive Relations Between Values Obstruction and Symptoms of Depression, Anxiety, and Stress
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Smyth, Aidan, Juneau, Catherine, Hong, Seonwoo, Ilagan, Michael John, and Knäuper, Bärbel
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- 2024
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109. Abortion in International Human Rights Law: Missed Opportunities in Manuela v El Salvador
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Smyth, Rebecca
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- 2024
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110. Identification of direct connections between the dura and the brain
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Smyth, Leon C. D., Xu, Di, Okar, Serhat V., Dykstra, Taitea, Rustenhoven, Justin, Papadopoulos, Zachary, Bhasiin, Kesshni, Kim, Min Woo, Drieu, Antoine, Mamuladze, Tornike, Blackburn, Susan, Gu, Xingxing, Gaitán, María I., Nair, Govind, Storck, Steffen E., Du, Siling, White, Michael A., Bayguinov, Peter, Smirnov, Igor, Dikranian, Krikor, Reich, Daniel S., and Kipnis, Jonathan
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- 2024
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111. Labile organic matter promotes nitrogen retention in natural and constructed gulf coast marshes
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Starr, S. F., Mortazavi, B., Tatariw, C., Kuehn, K. A., Cherry, J. A., Ledford, T., Smyth, E., Wood, A. Griffin, and Sebren, S. E.
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- 2024
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112. Functional Flow Matching
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Kerrigan, Gavin, Migliorini, Giosue, and Smyth, Padhraic
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
We propose Functional Flow Matching (FFM), a function-space generative model that generalizes the recently-introduced Flow Matching model to operate in infinite-dimensional spaces. Our approach works by first defining a path of probability measures that interpolates between a fixed Gaussian measure and the data distribution, followed by learning a vector field on the underlying space of functions that generates this path of measures. Our method does not rely on likelihoods or simulations, making it well-suited to the function space setting. We provide both a theoretical framework for building such models and an empirical evaluation of our techniques. We demonstrate through experiments on several real-world benchmarks that our proposed FFM method outperforms several recently proposed function-space generative models.
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- 2023
113. Capturing Humans' Mental Models of AI: An Item Response Theory Approach
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Kelly, Markelle, Kumar, Aakriti, Smyth, Padhraic, and Steyvers, Mark
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer Science - Human-Computer Interaction - Abstract
Improving our understanding of how humans perceive AI teammates is an important foundation for our general understanding of human-AI teams. Extending relevant work from cognitive science, we propose a framework based on item response theory for modeling these perceptions. We apply this framework to real-world experiments, in which each participant works alongside another person or an AI agent in a question-answering setting, repeatedly assessing their teammate's performance. Using this experimental data, we demonstrate the use of our framework for testing research questions about people's perceptions of both AI agents and other people. We contrast mental models of AI teammates with those of human teammates as we characterize the dimensionality of these mental models, their development over time, and the influence of the participants' own self-perception. Our results indicate that people expect AI agents' performance to be significantly better on average than the performance of other humans, with less variation across different types of problems. We conclude with a discussion of the implications of these findings for human-AI interaction., Comment: FAccT 2023
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- 2023
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114. Industry Classification Using a Novel Financial Time-Series Case Representation
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Dolphin, Rian, Smyth, Barry, and Dong, Ruihai
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Quantitative Finance - Statistical Finance - Abstract
The financial domain has proven to be a fertile source of challenging machine learning problems across a variety of tasks including prediction, clustering, and classification. Researchers can access an abundance of time-series data and even modest performance improvements can be translated into significant additional value. In this work, we consider the use of case-based reasoning for an important task in this domain, by using historical stock returns time-series data for industry sector classification. We discuss why time-series data can present some significant representational challenges for conventional case-based reasoning approaches, and in response, we propose a novel representation based on stock returns embeddings, which can be readily calculated from raw stock returns data. We argue that this representation is well suited to case-based reasoning and evaluate our approach using a large-scale public dataset for the industry sector classification task, demonstrating substantial performance improvements over several baselines using more conventional representations., Comment: 15 pages
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- 2023
115. Item Graph Convolution Collaborative Filtering for Inductive Recommendations
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D'Amico, Edoardo, Muhammad, Khalil, Tragos, Elias, Smyth, Barry, Hurley, Neil, and Lawlor, Aonghus
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Computer Science - Information Retrieval ,Computer Science - Machine Learning - Abstract
Graph Convolutional Networks (GCN) have been recently employed as core component in the construction of recommender system algorithms, interpreting user-item interactions as the edges of a bipartite graph. However, in the absence of side information, the majority of existing models adopt an approach of randomly initialising the user embeddings and optimising them throughout the training process. This strategy makes these algorithms inherently transductive, curtailing their ability to generate predictions for users that were unseen at training time. To address this issue, we propose a convolution-based algorithm, which is inductive from the user perspective, while at the same time, depending only on implicit user-item interaction data. We propose the construction of an item-item graph through a weighted projection of the bipartite interaction network and to employ convolution to inject higher order associations into item embeddings, while constructing user representations as weighted sums of the items with which they have interacted. Despite not training individual embeddings for each user our approach achieves state of-the-art recommendation performance with respect to transductive baselines on four real-world datasets, showing at the same time robust inductive performance.
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- 2023
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116. Reciprocals of thinned exponential series
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Galvin, David, Engbers, John, and Smyth, Clifford
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Mathematics - Combinatorics ,Mathematics - Classical Analysis and ODEs ,05A15, 05A18, 26C15 - Abstract
The reciprocal of $e^{-x}$ has a power series about $0$ in which all coefficients are non-negative. Gessel [Reciprocals of exponential polynomials and permutation enumeration, Australas. J. Combin., 74, 2019] considered truncates of the power series of $e^{-x}$, i.e. polynomials of the form $\sum_{n=0}^r (-1)^n\frac{x^n}{n!}$, and established combinatorially that the reciprocal of the truncate has a power series with all coefficients non-negative precisely when $r$ is odd. Here we extend Gessel's observations to arbitrary ``thinned exponential series''. To be precise, let $A \subseteq \{1,3,5,\ldots\}$ and $B \subseteq \{2,4,6,\ldots\}$, and consider the series \[ 1-\sum_{a \in A} \frac{x^a}{a!} + \sum_{b \in B} \frac{x^b}{b!}. \] We consider conditions on $A$ and $B$ that ensure that the reciprocal series has all coefficients non-negative. We give combinatorial proofs for a large set of conditions, including whenever $1 \in A$ and the endpoints of the maximal consecutive intervals in $A \cup B$ are odd integers. In particular, the coefficients in the reciprocal series can be interpreted as ordered set partitions of $[n]$ with block size restrictions, or in terms of permutations with restricted lengths of maximally increasing runs, suitably weighted., Comment: 34 pages, revised, a new section 6 proves the main result in an alternative way using the Run Theorem
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- 2023
117. Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction
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Paul, Steve, Li, Wenyuan, Smyth, Brian, Chen, Yuzhou, Gel, Yulia, and Chowdhury, Souma
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Computer Science - Multiagent Systems ,Computer Science - Robotics - Abstract
Efficient multi-robot task allocation (MRTA) is fundamental to various time-sensitive applications such as disaster response, warehouse operations, and construction. This paper tackles a particular class of these problems that we call MRTA-collective transport or MRTA-CT -- here tasks present varying workloads and deadlines, and robots are subject to flight range, communication range, and payload constraints. For large instances of these problems involving 100s-1000's of tasks and 10s-100s of robots, traditional non-learning solvers are often time-inefficient, and emerging learning-based policies do not scale well to larger-sized problems without costly retraining. To address this gap, we use a recently proposed encoder-decoder graph neural network involving Capsule networks and multi-head attention mechanism, and innovatively add topological descriptors (TD) as new features to improve transferability to unseen problems of similar and larger size. Persistent homology is used to derive the TD, and proximal policy optimization is used to train our TD-augmented graph neural network. The resulting policy model compares favorably to state-of-the-art non-learning baselines while being much faster. The benefit of using TD is readily evident when scaling to test problems of size larger than those used in training., Comment: This paper has been accepted to be presented at the IEEE International Conference on Robotics and Automation, 2023
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- 2023
118. Negotiating grey areas: an interview-based analysis of paramedic uncertainty and decision-making in cardiac arrest events
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Galina Gardiner, Karin Eli, Caroline J. Huxley, Rachael Fothergill, Gavin D. Perkins, Michael A. Smyth, Frances Griffiths, and Anne-Marie Slowther
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Uncertainty ,Decision making ,Resuscitation ,Cardiac arrest ,Paramedic ,Special situations and conditions ,RC952-1245 ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Abstract Background Paramedics are responsible for critical resuscitation decisions when attending Out of Hospital Cardiac Arrests (OHCA). Existing research indicates that a range of clinical and non-clinical factors moderate their decision-making. Within the United Kingdom (UK), there is little evidence on how and why paramedics make their decisions at actual OHCA events. Methods We explored the experiences of UK paramedics using individually recalled OHCA events as catalysts for discussion. Pen portraits developed from semi-structured interviews with 31 paramedics across two UK ambulance services were thematically analysed, enabling cross-participant comparisons whilst retaining depth and context. Results We identified four themes: uncertainties encountered in resuscitation guidelines, influences on decision-making, holistic perspectives, and indirect moderators. We found that paramedics experienced uncertainty at all stages of the resuscitation process. Uncertainties arose from indeterminate, ambiguous or complex information and were described as having both clinical and ethical dimensions. Whilst guidelines drove paramedics’ decisions, non-clinical personal, practical and relational factors moderated their assessments of survivability and decision-making, with attitudes to interactions between patient age, frailty and quality of life playing a substantial role. Coping strategies such as uncertainty reduction, assumption-based reasoning and weighing pros and cons were evident from interviews. Conclusions The complexity of interactions between clinical and non-clinical factors points to an element of variability in paramedics’ responses to uncertainty. Exploring UK paramedics’ uncertainties and decision-making during specific OHCA events can help acknowledge and address uncertainties in resuscitation guidelines and paramedic training, providing paramedics with the tools to manage uncertainty in a consistent and transparent way.
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- 2024
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119. Artificial intelligence investments reduce risks to critical mineral supply
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Joaquin Vespignani and Russell Smyth
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Science - Abstract
Abstract This paper employs insights from earth science on the financial risk of project developments to present an economic theory of critical minerals. Our theory posits that back-ended critical mineral projects that have unaddressed technical and non-technical barriers, such as those involving lithium and cobalt, exhibit an additional risk for investors which we term the “back-ended risk premium”. We show that the back-ended risk premium increases the cost of capital and, therefore, has the potential to reduce investment in the sector. We posit that the back-ended risk premium may also reduce the gains in productivity expected from artificial intelligence (AI) technologies in the mining sector. Progress in AI may, however, lessen the back-ended risk premium itself by shortening the duration of mining projects and the required rate of investment by reducing the associated risk. We conclude that the best way to reduce the costs associated with energy transition is for governments to invest heavily in AI mining technologies and research.
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- 2024
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120. Non-invasive neurally adjusted ventilatory assist (NIV-NAVA) in the neonatal intensive care unit (NICU): an Australian NICU experience
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Jonathan Cheng, Trisha Parmar, John Smyth, Srivinas Bolisetty, Kei Lui, and Tim Schindler
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Neurally adjusted ventilatory assist ,Non-invasive ventilation ,Ventilation weaning ,Premature infant ,Interactive ventilatory support ,Pediatrics ,RJ1-570 - Abstract
Abstract Background Preterm infants often require non-invasive breathing support while their lungs and control of respiration are still developing. Non-invasive neurally adjusted ventilatory assist (NIV-NAVA) is an emerging technology that allows infants to breathe spontaneously while receiving support breaths proportional to their effort. This study describes the first Australian Neonatal Intensive Care Unit (NICU) experience of NIV-NAVA. Methods Retrospective cohort study of infants admitted to a major tertiary NICU between October 2017 and April 2021 supported with NIV-NAVA. Infants were divided into three groups based on the indication to initiate NIV-NAVA (post-extubation; apnoea; escalation). Successful application of NIV-NAVA was based on the need for re-intubation within 48 h of application. Results There were 169 NIV-NAVA episodes in 122 infants (82 post-extubation; 21 apnoea; 66 escalation). The median (range) gestational age at birth was 25 + 5 weeks (23 + 1 to 43 + 3 weeks) and median (range) birthweight was 963 g (365–4320 g). At NIV-NAVA application, mean (SD) age was 17 days (18.2), and median (range) weight was 850 g (501–4310 g). Infants did not require intubation within 48 h in 145/169 (85.2%) episodes [72/82 (87.8%) extubation; 21/21 (100%) apnoea; 52/66 (78.8%) escalation). Conclusion NIV-NAVA was successfully integrated for the three main indications (escalation; post-extubation; apnoea). Prospective clinical trials are still required to establish its effectiveness versus other modes of non-invasive support.
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- 2024
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121. Genetic variants affecting mitochondrial function provide further insights for kidney disease
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Marisa Cañadas-Garre, Blanca Baños-Jaime, Joaquín J. Maqueda, Laura J. Smyth, Ruaidhri Cappa, Ryan Skelly, Claire Hill, Eoin P. Brennan, Ross Doyle, Catherine Godson, Alexander P. Maxwell, and Amy Jayne McKnight
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Association ,Chronic kidney disease ,Diabetic kidney disease ,Mitochondrial DNA ,Mitochondrial haplogroups ,Single nucleotide polymorphisms ,Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract Background Chronic kidney disease (CKD) is a complex disorder that has become a high prevalence global health problem, with diabetes being its predominant pathophysiologic driver. Autosomal genetic variation only explains some of the predisposition to kidney disease. Variations in the mitochondrial genome (mtDNA) and nuclear-encoded mitochondrial genes (NEMG) are implicated in susceptibility to kidney disease and CKD progression, but they have not been thoroughly explored. Our aim was to investigate the association of variation in both mtDNA and NEMG with CKD (and related traits), with a particular focus on diabetes. Methods We used the UK Biobank (UKB) and UK-ROI, an independent collection of individuals with type 1 diabetes mellitus (T1DM) patients. Results Fourteen mitochondrial variants were associated with estimated glomerular filtration rate (eGFR) in UKB. Mitochondrial variants and haplogroups U, H and J were associated with eGFR and serum variables. Mitochondrial haplogroup H was associated with all the serum variables regardless of the presence of diabetes. Mitochondrial haplogroup X was associated with end-stage kidney disease (ESKD) in UKB. We confirmed the influence of several known NEMG on kidney disease and function and found novel associations for SLC39A13, CFL1, ACP2 or ATP5G1 with serum variables and kidney damage, and for SLC4A1, NUP210 and MYH14 with ESKD. The G allele of TBC1D32-rs113987180 was associated with higher risk of ESKD in patients with diabetes (OR:9.879; CI95%:4.440–21.980; P = 2.0E-08). In UK-ROI, AGXT2-rs71615838 and SURF1-rs183853102 were associated with diabetic nephropathies, and TFB1M-rs869120 with eGFR. Conclusions We identified novel variants both in mtDNA and NEMG which may explain some of the missing heritability for CKD and kidney phenotypes. We confirmed the role of MT-ND5 and mitochondrial haplogroup H on renal disease (serum variables), and identified the MT-ND5-rs41535848G variant, along with mitochondrial haplogroup X, associated with higher risk of ESKD. Despite most of the associations were independent of diabetes, we also showed potential roles for NEMG in T1DM.
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- 2024
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122. Using a 10-Day Mindfulness-Based App Intervention to Reduce Burnout in Special Educators
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Russell, Amy and Smyth, Sinéad
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The field of special education is thought to be a stressful profession due to the complex needs of the students. The current study aimed to assess the effectiveness of a mindfulness-based smartphone application intervention for reducing burnout in special educators. We used the Copenhagen Burnout Inventory scale (with three subscales; personal, work-related and student-related) to measure burnout and the Five Facets of Mindfulness (shortened version) to assess mindfulness. Special educators (n = 29) were assigned to either the experimental group (n = 14) which used the 'Smiling Mind' app for guided meditations or the active control group (n = 15) which used 'Day One', a note-taking app, for a list-making activity. Both groups used their assigned apps for 10 days. The experimental group showed significant reductions from baseline to post-intervention on the personal burnout subscale while the control group did not, indicating that the intervention affected this domain of burnout. This was maintained at a 2-week follow-up. Mindfulness scores did not significantly increase in the experimental condition, meaning that the mechanism of this decrease in personal burnout is unknown. Further research is needed in order to add to the knowledge on preventing and treating burnout in special educators.
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- 2023
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123. Educator Attitudes towards the Inclusion of Students with Autism Spectrum Disorders in Mainstream Education: A Systematic Review
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Amy Russell, Aideen Scriney, and Sinéad Smyth
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Educator attitudes towards inclusive education impact its success. Attitudes differ depending on the SEN cohort, and so the current systematic review is the first to focus solely on students with autism spectrum disorders (ASD). Seven databases searched yielded 13 relevant articles. The majority reported positive educator attitudes towards ASD inclusion but with considerable variety in the measures used. There were mixed findings regarding the impact of training and experience on attitudes but, where measured, higher self-efficacy was related to positive attitudes. In summary, educator ASD inclusion attitudes are generally positive but we highlight the need to move towards more homogeneous attitudinal measures. Further research is needed to aggregate data on attitudes towards SEN cohorts other than those with ASD.
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- 2023
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124. Mealtime Developmental Skills: Surveying the Knowledge of Early Interventionists
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Smyth, Catherine A., Ferrell, Kay Alicyn, Clark, Alena, Erskine, Jamie, Spicer, Carol L., Morgese, Zoe L., Puchalski, Carol Benson, Zaghlawan, Hasan, Dewald, Hong Phangia, Dewald, Aaron John, and Pickler, Laura
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Young children with visual impairment and their families often require specialized assistance through early intervention to develop adaptive routines, cues, and environmental settings during mealtimes and other daily tasks. There is little empirical data in the area of mealtime routines available to support families of young children with visual impairment, and the need for research-based interventions is great. The purpose of this initial needs assessment survey was to gather information as little is already known about what teachers of students with visual impairment trained in early intervention (TSVI-EIs) and other early interventionists who work with infants and toddlers with visual impairment already know about the development of independent mealtime skills. The results of this survey indicate that early intervention professionals would like additional opportunities to learn about mealtime routine strategies for young children with visual impairment, confirm their current experiences and knowledge, and identify additional training and resources.
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- 2023
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125. The acceptability of exercise prehabilitation before cancer surgery among patients, family members and health professionals: a mixed methods evaluation
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Smyth, Emily, Brennan, Louise, Enright, Rachel, Sekhon, Mandeep, Dickson, Jane, Hussey, Juliette, and Guinan, Emer
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- 2024
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126. Trastuzumab deruxtecan in patients in the USA and Europe with HER2-positive advanced gastric or gastroesophageal junction cancer with disease progression on or after a trastuzumab-containing regimen (DESTINY-Gastric02): primary and updated analyses from a single-arm, phase 2 study.
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Van Cutsem, Eric, di Bartolomeo, Maria, Smyth, Elizabeth, Chau, Ian, Park, Haeseong, Siena, Salvatore, Lonardi, Sara, Wainberg, Zev, Ajani, Jaffer, Chao, Joseph, Janjigian, Yelena, Qin, Amy, Singh, Jasmeet, Barlaskar, Ferdous, Kawaguchi, Yoshinori, and Ku, Geoffrey
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Female ,Humans ,Male ,Middle Aged ,Antibodies ,Monoclonal ,Humanized ,Antineoplastic Combined Chemotherapy Protocols ,Disease Progression ,Esophageal Neoplasms ,Esophagogastric Junction ,Immunoconjugates ,Receptor ,ErbB-2 ,Stomach Neoplasms ,Trastuzumab ,Aged - Abstract
BACKGROUND: Approximately 15-20% of advanced gastric and gastro-oesophageal junction cancers overexpress HER2. In DESTINY-Gastric01, the HER2-targeted antibody-drug conjugate trastuzumab deruxtecan improved response and overall survival versus chemotherapy in patients from Japan and South Korea with locally advanced or metastatic HER2-positive gastric or gastro-oesophageal junction cancer whose disease progressed after two lines of previous therapy including trastuzumab. Here, we report primary and updated analyses of the single-arm, phase 2 DESTINY-Gastric02 trial, which aimed to examine trastuzumab deruxtecan in patients living in the USA and Europe. METHODS: DESTINY-Gastric02 is a single-arm, phase 2 study in adult patients from 24 study sites in the USA and Europe (Belgium, Spain, Italy, and the UK). Eligible patients were aged at least 18 years and had an Eastern Cooperative Oncology Group performance status of 0 or 1, pathologically documented unresectable or metastatic gastric or gastro-oesophageal junction cancer, progressive disease on or after first-line therapy with a trastuzumab-containing regimen, with at least one measurable lesion per Response Evaluation Criteria in Solid Tumours (version 1.1), and centrally confirmed HER2-positive disease on a postprogression biopsy. Patients were given 6·4 mg/kg of trastuzumab deruxtecan intravenously every 3 weeks until disease progression, withdrawal by patient, physician decision, or death. The primary endpoint was confirmed objective response rate by independent central review. The primary endpoint and safety were assessed in the full analysis set (ie, participants who received at least one dose of study drug). Here, we report the primary analysis of this study, with a data cutoff of April 9, 2021, and an updated analysis, with a data cutoff of Nov 8, 2021. This trial is registered with ClinicalTrials.gov, NCT04014075, and is ongoing. FINDINGS: Between Nov 26, 2019, and Dec 2, 2020, 89 patients were screened and 79 were enrolled and subsequently treated with trastuzumab deruxtecan (median age 60·7 years [IQR 52·0-68·3], 57 [72%] of 79 were male, 22 [28%] were female, 69 [87%] were White, four [5%] were Asian, one [1%] was Black or African American, one [1%] was Native Hawaiian or Pacific Islander, one had missing race, and three [4%] were other races). At the primary analysis (median follow-up 5·9 months [IQR 4·6-8·6 months]), confirmed objective response was reported in 30 (38% [95% CI 27·3-49·6]) of 79 patients, including three (4%) complete responses and 27 (34%) partial responses, as assessed by independent central review. As of data cutoff for the updated analysis (median follow-up 10·2 months [IQR 5·6-12·9]), a confirmed objective response was reported in 33 (42% [95% CI 30·8-53·4]) of 79 patients, including four (5%) complete responses and 29 (37%) partial responses, as assessed by independent central review. The most common grade 3 or worse treatment-emergent adverse events were anaemia (11 [14%]), nausea (six [8%]), decreased neutrophil count (six [8%]), and decreased white blood cell count (five [6%]). Drug-related serious treatment-emergent adverse events occurred in ten patients (13%). Deaths determined to be associated with study treatment occurred in two patients (3%) and were due to interstitial lung disease or pneumonitis. INTERPRETATION: These clinically meaningful results support the use of trastuzumab deruxtecan as second-line therapy in patients with HER2-positive advanced gastric or gastro-oesophageal junction cancer. FUNDING: Daiichi Sankyo and AstraZeneca.
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- 2023
127. Publisher Erratum: Implementation of homogeneous and heterogeneous tidal arrays in the Inner Sound of the Pentland Firth
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Patel, Misha D., Smyth, Amanda S. M., Angeloudis, Athanasios, and Adcock, Thomas A. A.
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- 2024
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128. Zero-Shot Anomaly Detection via Batch Normalization
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Li, Aodong, Qiu, Chen, Kloft, Marius, Smyth, Padhraic, Rudolph, Maja, and Mandt, Stephan
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Statistics - Machine Learning - Abstract
Anomaly detection (AD) plays a crucial role in many safety-critical application domains. The challenge of adapting an anomaly detector to drift in the normal data distribution, especially when no training data is available for the "new normal," has led to the development of zero-shot AD techniques. In this paper, we propose a simple yet effective method called Adaptive Centered Representations (ACR) for zero-shot batch-level AD. Our approach trains off-the-shelf deep anomaly detectors (such as deep SVDD) to adapt to a set of inter-related training data distributions in combination with batch normalization, enabling automatic zero-shot generalization for unseen AD tasks. This simple recipe, batch normalization plus meta-training, is a highly effective and versatile tool. Our theoretical results guarantee the zero-shot generalization for unseen AD tasks; our empirical results demonstrate the first zero-shot AD results for tabular data and outperform existing methods in zero-shot anomaly detection and segmentation on image data from specialized domains. Code is at https://github.com/aodongli/zero-shot-ad-via-batch-norm, Comment: accepted at NeurIPS 2023
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- 2023
129. Deep Anomaly Detection under Labeling Budget Constraints
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Li, Aodong, Qiu, Chen, Kloft, Marius, Smyth, Padhraic, Mandt, Stephan, and Rudolph, Maja
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence - Abstract
Selecting informative data points for expert feedback can significantly improve the performance of anomaly detection (AD) in various contexts, such as medical diagnostics or fraud detection. In this paper, we determine a set of theoretical conditions under which anomaly scores generalize from labeled queries to unlabeled data. Motivated by these results, we propose a data labeling strategy with optimal data coverage under labeling budget constraints. In addition, we propose a new learning framework for semi-supervised AD. Extensive experiments on image, tabular, and video data sets show that our approach results in state-of-the-art semi-supervised AD performance under labeling budget constraints., Comment: ICML 2023
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- 2023
130. Whitham Shocks and Resonant Dispersive Shock Waves Governed by the Higher Order Korteweg-de Vries Equation
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Baqer, Saleh and Smyth, Noel F.
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Nonlinear Sciences - Pattern Formation and Solitons ,Physics - Fluid Dynamics - Abstract
The addition of higher order asymptotic corrections to the Korteweg-de Vries equation results in the extended Korteweg-de Vries equation. These higher order terms destabilise the dispersive shock wave solution, also termed an undular bore in fluid dynamics, and result in the emission of resonant radiation. In broad terms, there are three possible dispersive shock wave regimes: radiating dispersive shock wave (RDSW), cross-over dispersive shock wave (CDSW) and travelling dispersive shock wave (TDSW). While there are existing solutions for the RDSW and TDSW regimes obtained using modulation theory, there is no existing solution for the CDSW regime. Modulation theory and the associated concept of a Whitham shock are used to obtain this CDSW solution. In addition, it is found that the resonant wavetrain emitted by the extended Korteweg-de Vries equation with water wave coefficients has a minimal amplitude. This minimal amplitude is explained based on the developed Whitham modulation theory., Comment: To appear in the Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
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- 2023
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131. Diffusion Generative Models in Infinite Dimensions
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Kerrigan, Gavin, Ley, Justin, and Smyth, Padhraic
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Diffusion generative models have recently been applied to domains where the available data can be seen as a discretization of an underlying function, such as audio signals or time series. However, these models operate directly on the discretized data, and there are no semantics in the modeling process that relate the observed data to the underlying functional forms. We generalize diffusion models to operate directly in function space by developing the foundational theory for such models in terms of Gaussian measures on Hilbert spaces. A significant benefit of our function space point of view is that it allows us to explicitly specify the space of functions we are working in, leading us to develop methods for diffusion generative modeling in Sobolev spaces. Our approach allows us to perform both unconditional and conditional generation of function-valued data. We demonstrate our methods on several synthetic and real-world benchmarks., Comment: In Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023)
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- 2022
132. Shear Instability and Turbulent Mixing by Kuroshio Intrusion Into the Changjiang River Plume
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Junbiao Tu, Jiaxue Wu, Daidu Fan, Zhiyu Liu, Qianjiang Zhang, and William Smyth
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shear instability ,turbulent mixing ,kuroshio ,river plume ,Geophysics. Cosmic physics ,QC801-809 - Abstract
Abstract Shear instability is a dominant mechanism for mixing in the stratified oceans and coastal seas. For the first time, we present fine‐scale, direct measurements of shear instabilities in the bottom front generated by the Kuroshio intrusion into the Changjiang (Yangtze) river plume. Shear instabilities were identified using a shipboard echo‐sounder and the resulting turbulent mixing was quantified using a turbulence microstructure profiler. The shear instabilities generate vigorous turbulent mixing with dissipation rate and vertical diffusivity up to O (10−4 m2 s−3) and O (10−1 m2 s−1), respectively, comparable to values associated with shear instabilities observed in river plumes and western boundary currents but several orders of magnitude larger than typical values in the open ocean. The enhanced turbulence may contribute significantly to mixing between the Kuroshio water and coastal water and thereby alter the coastal biogeochemistry cycles.
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- 2024
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133. Long COVID and Health Inequalities: What's Next for Research and Policy Advocacy?
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Sarah Akhtar Baz, Mirembe Woodrow, Donna Clutterbuck, Chao Fang, Jordan Mullard, Amitava Banerjee, Sarah Barley‐McMullen, Jd Carpentieri, Anne‐Laure Donskoy, Alice Faux‐Nightingale, Sasha Lewis‐Jackson, Margaret E. O'Hara, Tanvi Rai, Ondine Sherwood, Nina Smyth, Kirsty Stanley, Victoria Welsh, Ghazala Mir, and Nisreen A. Alwan
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health inequalities ,Long COVID ,QLC network ,qualitative ,Medicine (General) ,R5-920 ,Public aspects of medicine ,RA1-1270 - Abstract
ABSTRACT Introduction Organised by the ‘Qualitative Long Covid Network’, a workshop for qualitative Long COVID (LC) researchers, LC charity representatives and people with LC took place in June 2023, where research on the intersectional inequalities affecting LC prevalence, recognition and care was shared and discussed. Methods Five key themes were drawn up from presentations, discussions and reflections during the workshop, which are presented in this study. Results The following five themes are discussed: the unfairness of LC, difficulties in accessing care, mistrust of the healthcare system, a lack of understanding of LC and experiences of stigma and discrimination. Factors that widen or narrow inequalities related to LC were identified. Conclusion A call to action is proposed to investigate and address inequalities through a robust LC research agenda that speaks with conviction to policy and decision‐makers. We argue that there needs to be a strong investment in research and evidence‐based policy and practice to mitigate the worst effects of the condition and address the inequalities in experience, treatment and support, which are experienced more often and more acutely by some of society's most vulnerable and disadvantaged individuals. Patient and Public (PPI) Contribution Projects included in this article had PPI ongoing activity to inform their research. A member of the CONVALESCENCE PPI group presented at the QLC Network ‘Long Covid and Health Inequalities’ workshop, as did members of Long COVID Kids, Long COVID Support and Long COVID SOS charities. They were all invited to be co‐authors of this article.
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- 2024
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134. Evaluating the Psychometric Properties of a Physical Activity and Sedentary Behavior Identity Scale: Survey Study With Two Independent Samples of Adults in the United States
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Cheng K Fred Wen, Stefan Schneider, Doerte U Junghaenel, Meynard John L Toledo, Pey-Jiuan Lee, Joshua M Smyth, and Arthur A Stone
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Medicine - Abstract
BackgroundEmerging evidence suggests a positive association between relevant aspects of one’s psychological identity and physical activity engagement, but the current understanding of this relationship is primarily based on scales designed to assess identity as a person who exercises, leaving out essential aspects of physical activities (eg, incidental and occupational physical activity) and sedentary behavior. ObjectiveThe goal of this study is to evaluate the validity of a new physical activity and sedentary behavior (PA/SB) identity scale using 2 independent samples of US adults. MethodsIn study 1, participants answered 21 candidate items for the PA/SB identity scale and completed the International Physical Activity Questionnaire-Short Form (IPAQ-SF). Study 2 participants completed the same PA/SB identity items twice over a 1-week interval and completed the IPAQ-SF at the end. We performed factor analyses to evaluate the structure of the PA/SB identity scale, evaluated convergent validity and test-retest reliability (in study 2) of the final scale scores, and examined their discriminant validity using tests for differences in dependent correlations. ResultsThe final PA/SB identity measure was comprised of 3 scales: physical activity role identity (F1), physical activity belief (F2), and sedentary behavior role identity (F3). The scales had high test-retest reliability (Pearson correlation coefficient: F1, r=0.87; F2, r=0.75; F3, r=0.84; intraclass correlation coefficient [ICC]: F1: ICC=0.85; F2: ICC=0.75; F3: ICC=0.84). F1 and F2 were positively correlated with each other (study 1, r=0.76; study 2, r=0.69), while both were negatively correlated with F3 (Pearson correlation coefficient between F1 and F3: r=–0.58 for study 1 and r=–0.73 for study 2; F2 and F3: r=–0.46 for studies 1 and 2). Data from both studies also demonstrated adequate discriminant validity of the scale developed. Significantly larger correlations with time in vigorous and moderate activities and time walking and sitting assessed by IPAQ-SF with F1, compared with F2, were observed. Significantly larger correlations with time in vigorous and moderate activities with F1, compared with F3, were also observed. Similarly, a larger correlation with time in vigorous activities and a smaller correlation with time walking were observed with F2, compared with F3. ConclusionsThis study provided initial empirical evidence from 2 independent studies on the reliability and validity of the PA/SB identity scales for adults.
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- 2024
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135. The Road Home: Building the evidence base for a service delivery model that integrates housing, mental health, medical and legal services.
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Anne Smyth, Lesley Thornton, Kym Coupe, and Carolyn Lynch
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Road Home ,Mental health ,Service delivery model ,Medicine (General) ,R5-920 ,Public aspects of medicine ,RA1-1270 - Abstract
The evaluation of the Road Home (RH) program has revealed many learnings of interest to practitioners, researchers and evaluators. The focus of this analysis is twofold - on an innovative approach to building an evidence base using a developmental evaluation and action learning design and how research knowledge and skills can be applied in practitioner contexts and be robust, rigorous and above all useful. It particularly features the role of reflective practice, an affordable, underutilised and easy to access evaluation and program improvement method for practitioners working with evaluators and researchers. Appreciating what is involved in approaching evaluation and other forms of organisational research in this way is important if industry collaborations and innovations that bring theory to practice and practice to theory are to be successful.
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- 2024
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136. Editorial: Using case study and narrative pedagogy to guide students through the process of science
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Davida S. Smyth, Pat Marsteller, Courtney Carroll Alexander, Alex L. Deal, and Carlos C. Goller
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case study ,molecular case study ,narrative ,literacy ,scientific communication ,R coding ,Microbiology ,QR1-502 - Published
- 2024
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137. Tendencias teóricas y metodológicas en la producción científica sobre prácticas pedagógicas de Educación Física en Latinoamérica
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Manuel Dupuy, Leonardo Gómez Smyth, and Marcos Alvarez
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Educación Física escolar ,Prácticas pedagógicas ,Producción científica ,Latinoamérica ,Education (General) ,L7-991 ,Special aspects of education ,LC8-6691 - Abstract
Se presenta un estudio del estado del arte sobre las prácticas pedagógicas en la Educación Física escolar, el cual se realizó mediante la búsqueda y análisis de documentos académicos con enclave geográfico en Latinoamérica. El objetivo principal es interpretar la circulación de las tipologías de prácticas, los temas recurrentes y las metodologías empleadas en cada caso. Para ello, se llevó a cabo un análisis de contenido de 31 documentos, incluyendo artículos de revistas y trabajos presentados en eventos científicos. Los resultados obtenidos permiten identificar una temática de interés para el campo de la Educación Física en los últimos años, en la que se pueden observar cuatro tipologías de prácticas pedagógicas organizadas a partir de dimensiones teóricas que las distinguen y metodologías específicas desarrolladas por la comunidad de investigadores/as.
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- 2024
138. Current practices and challenges in implementing precision medicine for upper gastrointestinal cancers in European academic centers: an EORTC survey
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M. Alsina, A.E. Huerta, F. Lordick, S. Verschueren, M. Moehler, E. Fontana, E. Smyth, F. Sclafani, A.D. Wagner, L. Rimassa, A. Lamarca, C. Neuzillet, and R. Obermannová
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precision oncology ,liquid biopsy ,next-generation sequencing ,matched targeted therapies ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Background: Precision oncology is gaining momentum in managing patients with gastrointestinal cancers. This study examines the implementation of personalized medicine technologies in upper gastrointestinal (UGI) oncology across European academic centers. Material and methods: Forty-five oncology specialists from 41 European institutions completed a survey designed by the Personalized Medicine Task Force of the European Organization of Research and Treatment of Cancer (EORTC) Gastrointestinal Tract Cancer Working Group, providing insights into molecular testing, timing, availability of targeted therapies, funding sources, and utilization of molecular tumor boards (MTBs) for patients with UGI cancers. Frequencies and percentages were calculated. Results: Routine testing for human epidermal growth factor receptor 2 (HER2, 100%), programmed death-ligand 1 (PD-L1, 89%), and DNA mismatch repair (MMR, 91%) is implemented in most centers. Comprehensive gene panels on tumor tissue are frequently utilized, especially in biliary tract cancer, with almost all centers incorporating them into routine practice. Blood-based sequencing is increasingly employed, and half of centers carry out comprehensive gene panels for circulating tumor DNA analyses. MTBs are regularly held in 76% of centers, predominantly utilizing ESMO Scale for Clinical Actionability of molecular Targets (ESCAT)-based recommendations for tissue molecular alterations. The translation of genomic information into prescribed treatments remains limited, however, with the majority of centers reporting ∼25% of molecularly stratified treatment decisions following comprehensive genetic testing. Conclusion: This survey provides important insights into current personalized medicine practice in European academic clinical centers for UGI oncology. Despite widespread adoption of molecular testing and implementation of MTBs, further efforts are needed to optimize the integration of personalized medicine into clinical practice.
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- 2024
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139. EORTC stomach cancer PD-L1 biomarker European initiative: the ASPIRE study protocol
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A. Petrillo, L. Oudijk, R. Sundar, C. Daumer, J. Casas, D. D’Haese, M. Mauer, N. van Grieken, E.C. Smyth, and M. Moehler
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PD-L1 ,combined positive score ,immunotherapy ,tumour area positivity ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
The evaluation of programmed death-ligand 1 (PD-L1) expression and the methodology employed are central to identify suitable candidates for immunotherapy among patients with gastro-oesophageal cancer (GC). Yet, there are no comprehensive global studies comparing the various methods and antibodies utilized for assessing PD-L1 positivity in GC. The ASPIRE study, led by the European Organisation for Research and Treatment of Cancer Gastrointestinal Tract Group (EORTC GITCG) and the National University Health System, Singapore, seeks to standardize the assessment of PD-L1 expression in GC. By comparing various PD-L1 scoring systems and assays, the study aims to simplify and harmonize the quantification and qualification of PD-L1 expression. Ultimately, this effort aims to facilitate the translation of endpoints in companion diagnostic settings. Here, we report the protocol of the study.
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- 2024
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140. The Canadian Prospective Cohort Study to understand progression in multiple sclerosis: baseline characteristics
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Jiwon Oh, Nathalie Arbour, Fabrizio Giuliani, Melanie Guenette, Shannon Kolind, Larry Lynd, Ruth Ann Marrie, Luanne M. Metz, Alexandre Prat, Alice Schabas, Penelope Smyth, Roger Tam, Anthony Traboulsee, Voon Wee Yong, and Scott B. Patten
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Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Background: Disease progression is observed across the spectrum of people with multiple sclerosis (MS) and identification of effective treatment strategies to halt progression remains one of the greatest unmet clinical needs. Objectives: The Canadian Prospective Cohort Study to Understand Progression in MS (CanProCo) was designed to evaluate a wide range of factors associated with the onset and rate of clinical disease progression in MS and to describe the interplay between these factors. Design: A prospective cohort study. Methods: CanProCo is a national, prospective, observational cohort study that has recruited 944 individuals from 5 large academic MS centers in Canada. Participants include people with radiologically isolated syndrome (RIS), early relapsing-remitting and primary progressive MS (RRMS, PPMS), and healthy controls (HCs). Annually, participants complete self-reported questionnaires, undergo clinical evaluation and, if clinically indicated, magnetic resonance images (MRIs) of the brain and cervical spinal cord; in a subset of participants ( n = 399), blood, and research MRIs of the brain and cervical spinal cord are collected. Linkages to health administrative databases are available at three sites. Results: Overall, 944 participants were recruited (53 HCs, 63 RIS, 751 RRMS, 77 PPMS). RIS and MS participants had a mean age of 39.0 years and 70.5% female. The mean time since diagnosis was 2.7 years. There were differences observed in the Expanded Disability Status Scale score and components of the MS performance test (walking speed test, manual dexterity test, processing speed test, and low-contrast visual acuity) between RIS and MS subtypes. Questionnaires revealed more symptoms of depression and anxiety and impaired physical and mental quality of life in people with RIS/MS versus HCs and differences across RIS/MS subtypes. Conclusion: Physical and mental neurological disability is prevalent even in the earliest stages of MS. Transdisciplinary approaches such as those used in CanProCo are needed to better characterize clinical progression in MS. Additional CanProCo results, including MRI, biological, and pharmaco-economic data will be forthcoming. Going forward, CanProCo’s data sharing and collaborative vision will facilitate numerous global collaborations, which will inform the development and implementation of effective interventions for people with MS around the world.
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- 2024
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141. Cohort profile: DNA methylation in the Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA) – recruitment and participant characteristics
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Bernadette Mcguinness, Frank Kee, Claire Hill, Claire Potter, Angela Scott, Amy McKnight, Charlotte Neville, and Laura J Smyth
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Medicine - Abstract
Purpose Epigenetic modifications including DNA methylation (DNAm) are proposed mechanisms by which social or environmental exposures may influence health and behaviours as we age. The Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA) DNAm cohort, established in 2013, is one of several worldwide, nationally representative prospective studies of ageing with biological samples from participants who consented to multiomic analysis.Participants NICOLA recruited 8478 participants (8283 aged 50 years or older and 195 spouses or partners at the same address aged under 50 years). Computer-Assisted Personal Interviews, Self-Completion Questionnaires and detailed Health Assessments (HA) were completed. Of the 3471 (44.1%) participants who attended the HA in wave 1, which included venous blood sampling, 2000 were identified for the DNAm cohort. Following technical and data quality control checks, DNAm data are currently available for n=1870.Findings to date There was no significant difference based on age, self-reported gender, education, employment, smoking or alcohol status and subjective health reports between the DNAm cohort and other HA attendees. Participants were more likely to be in the DNAm group if they lived with one other person (OR 1.26, 95% CI 1.07 to 1.49). The DNAm group had a lower proportion of depressed participants and those meeting criteria for post-traumatic stress disorder (11.7% and 4.4% vs 13.5% and 4.5%, respectively) categorised by objective assessment tools but this was not significant (OR 0.84, 95% CI 0.69 to 1.02 and OR 0.87, 95% CI 0.64 to 1.19).Future plans The deeply phenotyped DNAm cohort in NICOLA with planned prospective follow-up and additional multiomic data releases will increase the cohort’s utility for research into ageing. The genomic and epigenetic data for the DNAm cohort has been deposited on the European Genome-Phenome Archive, increasing the profile of this cohort and data availability to researchers.
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- 2024
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142. A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use
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Yihe Weng, Johann Kruschwitz, Laura M Rueda-Delgado, Kathy L Ruddy, Rory Boyle, Luisa Franzen, Emin Serin, Tochukwu Nweze, Jamie Hanson, Alannah Smyth, Tom Farnan, Tobias Banaschewski, Arun LW Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Jane McGrath, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomas Paus, Luise Poustka, Nathalie Holz, Juliane Fröhner, Michael N Smolka, Nilakshi Vaidya, Gunter Schumann, Henrik Walter, Robert Whelan, and IMAGEN Consortium
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neuroimaging ,adolescence ,substance use ,longitudinal ,cannabis ,connectivity ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in sustained attention was a predictor of substance use or a marker of the inclination to engage in such behavior. This study explored the relationship between sustained attention and substance use across a longitudinal span from ages 14 to 23 in over 1000 participants. Behaviors and brain connectivity associated with diminished sustained attention at age 14 predicted subsequent increases in cannabis and cigarette smoking, establishing sustained attention as a robust biomarker for vulnerability to substance use. Individual differences in network strength relevant to sustained attention were preserved across developmental stages and sustained attention networks generalized to participants in an external dataset. In summary, brain networks of sustained attention are robust, consistent, and able to predict aspects of later substance use.
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- 2024
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143. Comprehensive Meta-Analysis of Attention-Deficit/Hyperactivity Disorder Psychosocial Treatments Investigated within between Group Studies
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Fabiano, Gregory A., Schatz, Nicole K., Aloe, Ariel M., Pelham, William E., Smyth, Alyssa C., Zhao, Xin, Merrill, Brittany M., Macphee, Fiona, Ramos, Marcela, Hong, Natalie, Altszuler, Amy, Ward, Leah, Rodgers, Derek B., Liu, Zhijiang, Karatoprak Ersen, Rabia, and Coxe, Stefany
- Abstract
Interventions for attention-deficit/hyperactivity disorder (ADHD) include positive behavior supports (e.g., parent training, school-based contingency management, behavioral peer interventions), training interventions (e.g., organizational skills training, social skills training, etc.), and other interventions (e.g., academic accommodations/modifications, self-monitoring). There is a need to conduct a comprehensive meta-analysis of psychosocial treatments for ADHD given discrepancies between meta-analyses. The present meta-analysis reports the results of between-group studies that compared a psychosocial treatment to a control condition from 1968 to 2016. In total, 226 studies were identified that met inclusion criteria. Results of the meta-analysis were organized by treatment type, rater, and domain of outcome assessed. Results indicated considerable variability across these parameters, with the strongest effects for proximal outcomes of behavioral parent training (improvements in parenting behaviors yielded a standardized mean difference of 0.70) and improvements in child behavior following implementation of behavioral school intervention (standardized mean difference of 0.66 and 0.72 for teacher ratings of ADHD symptoms and impairment, respectively). Other interventions were not extensively studied as stand-alone approaches. Results are discussed in light of current support for the use of psychosocial interventions for individuals with ADHD.
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- 2021
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144. A phase 2a, double-masked, randomized, vehicle-controlled trial of VVN001 in subjects with dry eye disease
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Tauber, Joseph, Evans, David, Segal, Bruce, Li, Xiao-Yan, Shen, Wang, Lu, Caroline, Novack, Gary D, Abrams, Marc, Smyth-Medina, Robert, Majmudar, Parag, Holland, Edward, Alpern, Louis, Martel, Joseph, Clay, Emma, Korenfeld, Michael, Goosey, John, Goldberg, Damien, and El-Harazi, Sherif
- Subjects
Biomedical and Clinical Sciences ,Ophthalmology and Optometry ,Clinical Trials and Supportive Activities ,Patient Safety ,Clinical Research ,Eye Disease and Disorders of Vision ,6.1 Pharmaceuticals ,Evaluation of treatments and therapeutic interventions ,Humans ,Double-Blind Method ,Dry Eye Syndromes ,Fluorescein ,Ophthalmic Solutions ,Treatment Outcome ,Dry eye disease ,VVN001 ,Cornea ,Symptoms ,VVN001-CS201 Study Group ,Opthalmology and Optometry ,Ophthalmology & Optometry ,Ophthalmology and optometry - Abstract
PurposeEvaluate the initial ocular safety and tolerability and efficacy of VVN001 Ophthalmic Solution (VVN001), a small-molecule antagonist of lymphocyte function-associated antigen-1 (LFA-1), in subjects with dry eye disease (DED).MethodsThis was a multi-center, double-masked, randomized, dose-response, vehicle-controlled, parallel-group study conducted in 170 subjects with DED. Subjects were randomized to receive VVN001 (1% or 5%) or its vehicle, twice-daily in both eyes for 84 days. The primary outcome measure was inferior region corneal fluorescein staining (iCFS, 0-4 scale) at Day 84. Visual Analogue Scale eye dryness (VAS, 0-100 scale) was a secondary outcome.ResultsThe primary and first secondary outcomes were not met. At Day 84 treatment effects in favor of VVN001 5% relative to its vehicle for iCFS were 0.29 units (p = 0.054), and for VAS were 3.18 units (p = 0.533). In other secondary outcomes, treatment effects in favor of VVN001 5% relative to its vehicle were seen in total CFS (1.61 units, 0-20 scale, p = 0.004) and Schirmer score (1.77 and 2.32 mm, p = 0.049 and p = 0.17 at Days 14 and 28 respectively). Adverse events of incidence 5% or greater in either active treatment group were instillation site pain (3/57, 5.3%), dysgeusia (3/56, 5.4%) and urinary tract infection (3/57, 5.3%).ConclusionsThere were no major safety issues of note. Appropriately powered studies will be required with a priori selection of the efficacy endpoints to evaluate VVN001's therapeutic potential.
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- 2023
145. Mean affect and affect variability may interact to predict inflammation.
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Jones, Dusti, Ruiz, John, Schreier, Hannah, Uchino, Burt, Russell, Michael, Taylor, Daniel, Smith, Timothy, Smyth, Joshua, and Allison, Matthew
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Affect dynamics ,Cytokines ,Ecological momentary assessment ,Emotion variability ,Inflammation ,Negative emotion ,Positive emotion ,Humans ,Female ,Young Adult ,Adult ,Male ,Interleukin-6 ,Tumor Necrosis Factor-alpha ,Inflammation ,Ecological Momentary Assessment ,Affect - Abstract
INTRODUCTION: Individuals with greater affect variability (i.e., moment-to-moment fluctuations possibly reflecting emotional dysregulation) are at risk for greater systemic inflammation, which is associated with cardiovascular disease. Some evidence suggests that affect variability is linked with poorer health indicators only among those with higher average levels of affect, particularly for positive affect (PA), and that associations may be non-linear. The present study sought to examine whether links between both PA and negative affect (NA) variability and inflammation are moderated by average level of affect. METHODS: Participants (N = 300, 50 % female, ages 21-70, 60 % non-Hispanic White, 19 % Hispanic, 15 % non-Hispanic Black) completed a lab assessment and provided a blood sample to measure systemic inflammation (i.e., TNF-α, IL-6, CRP). Affect was collected via a two-day ecological momentary assessment protocol where reports were collected about every 45-min during waking hours. Momentary affect ratings were averaged across both days (i.e., iM), separately for PA and NA, for each participant. Affect variability was calculated as the person-specific SD (i.e., iSD) of affect reports, separately for PA and NA. Linear and quadratic interactions were tested. Models included covariates for sex, race, and body mass index. RESULTS: There were significant interactions between NA iM and NA iSD predicting TNF-α (b = 6.54; p
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- 2023
146. Magnetic resonance imaging-guided stereotactic laser ablation therapy for the treatment of pediatric epilepsy: a retrospective multiinstitutional study.
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Arocho-Quinones, Elsa V, Lew, Sean M, Handler, Michael H, Tovar-Spinoza, Zulma, Smyth, Matthew D, Bollo, Robert J, Donahue, David, Perry, M Scott, Levy, Michael, Gonda, David, Mangano, Francesco T, Kennedy, Benjamin C, Storm, Phillip B, Price, Angela V, Couture, Daniel E, Oluigbo, Chima, Duhaime, Ann-Christine, Barnett, Gene H, Muh, Carrie R, Sather, Michael D, Fallah, Aria, Wang, Anthony C, Bhatia, Sanjiv, Eastwood, Daniel, Tarima, Sergey, Graber, Sarah, Huckins, Sean, Hafez, Daniel, Rumalla, Kavelin, Bailey, Laurie, Shandley, Sabrina, Roach, Ashton, Alexander, Erin, Jenkins, Wendy, Tsering, Deki, Price, George, Meola, Antonio, Evanoff, Wendi, Thompson, Eric M, Brandmeir, Nicholas, and Pediatric Stereotactic Laser Ablation Workgroup
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Pediatric Stereotactic Laser Ablation Workgroup ,drug-resistant epilepsy ,functional neurosurgery ,laser interstitial thermal therapy ,magnetic resonance imaging–guided stereotactic laser ablation ,minimally invasive technique ,pediatric epilepsy ,seizure focus ,Pediatric ,Neurosciences ,Neurodegenerative ,Brain Disorders ,Epilepsy ,Paediatrics and Reproductive Medicine ,Neurology & Neurosurgery - Abstract
ObjectiveThe authors of this study evaluated the safety and efficacy of stereotactic laser ablation (SLA) for the treatment of drug-resistant epilepsy (DRE) in children.MethodsSeventeen North American centers were enrolled in the study. Data for pediatric patients with DRE who had been treated with SLA between 2008 and 2018 were retrospectively reviewed.ResultsA total of 225 patients, mean age 12.8 ± 5.8 years, were identified. Target-of-interest (TOI) locations included extratemporal (44.4%), temporal neocortical (8.4%), mesiotemporal (23.1%), hypothalamic (14.2%), and callosal (9.8%). Visualase and NeuroBlate SLA systems were used in 199 and 26 cases, respectively. Procedure goals included ablation (149 cases), disconnection (63), or both (13). The mean follow-up was 27 ± 20.4 months. Improvement in targeted seizure type (TST) was seen in 179 (84.0%) patients. Engel classification was reported for 167 (74.2%) patients; excluding the palliative cases, 74 (49.7%), 35 (23.5%), 10 (6.7%), and 30 (20.1%) patients had Engel class I, II, III, and IV outcomes, respectively. For patients with a follow-up ≥ 12 months, 25 (51.0%), 18 (36.7%), 3 (6.1%), and 3 (6.1%) had Engel class I, II, III, and IV outcomes, respectively. Patients with a history of pre-SLA surgery related to the TOI, a pathology of malformation of cortical development, and 2+ trajectories per TOI were more likely to experience no improvement in seizure frequency and/or to have an unfavorable outcome. A greater number of smaller thermal lesions was associated with greater improvement in TST. Thirty (13.3%) patients experienced 51 short-term complications including malpositioned catheter (3 cases), intracranial hemorrhage (2), transient neurological deficit (19), permanent neurological deficit (3), symptomatic perilesional edema (6), hydrocephalus (1), CSF leakage (1), wound infection (2), unplanned ICU stay (5), and unplanned 30-day readmission (9). The relative incidence of complications was higher in the hypothalamic target location. Target volume, number of laser trajectories, number or size of thermal lesions, or use of perioperative steroids did not have a significant effect on short-term complications.ConclusionsSLA appears to be an effective and well-tolerated treatment option for children with DRE. Large-volume prospective studies are needed to better understand the indications for treatment and demonstrate the long-term efficacy of SLA in this population.
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- 2023
147. String Covering: A Survey
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Mhaskar, Neerja and Smyth, W. F.
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Computer Science - Data Structures and Algorithms - Abstract
The study of strings is an important combinatorial field that precedes the digital computer. Strings can be very long, trillions of letters, so it is important to find compact representations. Here we first survey various forms of one potential compaction methodology, the cover of a given string x, initially proposed in a simple form in 1990, but increasingly of interest as more sophisticated variants have been discovered. We then consider covering by a seed; that is, a cover of a superstring of x. We conclude with many proposals for research directions that could make significant contributions to string processing in future.
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- 2022
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148. Probabilistic Querying of Continuous-Time Event Sequences
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Boyd, Alex, Chang, Yuxin, Mandt, Stephan, and Smyth, Padhraic
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Statistics - Machine Learning ,Computer Science - Machine Learning - Abstract
Continuous-time event sequences, i.e., sequences consisting of continuous time stamps and associated event types ("marks"), are an important type of sequential data with many applications, e.g., in clinical medicine or user behavior modeling. Since these data are typically modeled autoregressively (e.g., using neural Hawkes processes or their classical counterparts), it is natural to ask questions about future scenarios such as "what kind of event will occur next" or "will an event of type $A$ occur before one of type $B$". Unfortunately, some of these queries are notoriously hard to address since current methods are limited to naive simulation, which can be highly inefficient. This paper introduces a new typology of query types and a framework for addressing them using importance sampling. Example queries include predicting the $n^\text{th}$ event type in a sequence and the hitting time distribution of one or more event types. We also leverage these findings further to be applicable for estimating general "$A$ before $B$" type of queries. We prove theoretically that our estimation method is effectively always better than naive simulation and show empirically based on three real-world datasets that it is on average 1,000 times more efficient than existing approaches.
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- 2022
149. A Multimodal Embedding-Based Approach to Industry Classification in Financial Markets
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Dolphin, Rian, Smyth, Barry, and Dong, Ruihai
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Quantitative Finance - Statistical Finance - Abstract
Industry classification schemes provide a taxonomy for segmenting companies based on their business activities. They are relied upon in industry and academia as an integral component of many types of financial and economic analysis. However, even modern classification schemes have failed to embrace the era of big data and remain a largely subjective undertaking prone to inconsistency and misclassification. To address this, we propose a multimodal neural model for training company embeddings, which harnesses the dynamics of both historical pricing data and financial news to learn objective company representations that capture nuanced relationships. We explain our approach in detail and highlight the utility of the embeddings through several case studies and application to the downstream task of industry classification., Comment: 8 pages. Accepted at AICS 2022 under title "A Machine Learning Approach to Industry Classification in Financial Markets". Preliminary version under this title was discussed at ICAIF '22 Workshop on NLP and Network Analysis in Financial Applications. arXiv admin note: text overlap with arXiv:2202.08968
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- 2022
150. Predictive Querying for Autoregressive Neural Sequence Models
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Boyd, Alex, Showalter, Sam, Mandt, Stephan, and Smyth, Padhraic
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence - Abstract
In reasoning about sequential events it is natural to pose probabilistic queries such as "when will event A occur next" or "what is the probability of A occurring before B", with applications in areas such as user modeling, medicine, and finance. However, with machine learning shifting towards neural autoregressive models such as RNNs and transformers, probabilistic querying has been largely restricted to simple cases such as next-event prediction. This is in part due to the fact that future querying involves marginalization over large path spaces, which is not straightforward to do efficiently in such models. In this paper we introduce a general typology for predictive queries in neural autoregressive sequence models and show that such queries can be systematically represented by sets of elementary building blocks. We leverage this typology to develop new query estimation methods based on beam search, importance sampling, and hybrids. Across four large-scale sequence datasets from different application domains, as well as for the GPT-2 language model, we demonstrate the ability to make query answering tractable for arbitrary queries in exponentially-large predictive path-spaces, and find clear differences in cost-accuracy tradeoffs between search and sampling methods., Comment: Oral Presentation at the Intl. Conference on Neural Information Processing Systems (NeurIPS 2022)
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- 2022
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