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1. Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants

Author

Borges, Beatriz, Foroutan, Negar, Bayazit, Deniz, Sotnikova, Anna, Montariol, Syrielle, Nazaretzky, Tanya, Banaei, Mohammadreza, Sakhaeirad, Alireza, Servant, Philippe, Neshaei, Seyed Parsa, Frej, Jibril, Romanou, Angelika, Weiss, Gail, Mamooler, Sepideh, Chen, Zeming, Fan, Simin, Gao, Silin, Ismayilzada, Mete, Paul, Debjit, Schöpfer, Alexandre, Janchevski, Andrej, Tiede, Anja, Linden, Clarence, Troiani, Emanuele, Salvi, Francesco, Behrens, Freya, Orsi, Giacomo, Piccioli, Giovanni, Sevel, Hadrien, Coulon, Louis, Pineros-Rodriguez, Manuela, Bonnassies, Marin, Hellich, Pierre, van Gerwen, Puck, Gambhir, Sankalp, Pirelli, Solal, Blanchard, Thomas, Callens, Timothée, Aoun, Toni Abi, Alonso, Yannick Calvino, Cho, Yuri, Chiappa, Alberto, Sclocchi, Antonio, Bruno, Étienne, Hofhammer, Florian, Pescia, Gabriel, Rizk, Geovani, Dadi, Leello, Stoffl, Lucas, Ribeiro, Manoel Horta, Bovel, Matthieu, Pan, Yueyang, Radenovic, Aleksandra, Alahi, Alexandre, Mathis, Alexander, Bitbol, Anne-Florence, Faltings, Boi, Hébert, Cécile, Tuia, Devis, Maréchal, François, Candea, George, Carleo, Giuseppe, Chappelier, Jean-Cédric, Flammarion, Nicolas, Fürbringer, Jean-Marie, Pellet, Jean-Philippe, Aberer, Karl, Zdeborová, Lenka, Salathé, Marcel, Jaggi, Martin, Rajman, Martin, Payer, Mathias, Wyart, Matthieu, Gastpar, Michael, Ceriotti, Michele, Svensson, Ola, Lévêque, Olivier, Ienne, Paolo, Guerraoui, Rachid, West, Robert, Kashyap, Sanidhya, Piazza, Valerio, Simanis, Viesturs, Kuncak, Viktor, Cevher, Volkan, Schwaller, Philippe, Friedli, Sacha, Jermann, Patrick, Kaser, Tanja, and Bosselut, Antoine

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

AI assistants are being increasingly used by students enrolled in higher education institutions. While these tools provide opportunities for improved teaching and education, they also pose significant challenges for assessment and learning outcomes. We conceptualize these challenges through the lens of vulnerability, the potential for university assessments and learning outcomes to be impacted by student use of generative AI. We investigate the potential scale of this vulnerability by measuring the degree to which AI assistants can complete assessment questions in standard university-level STEM courses. Specifically, we compile a novel dataset of textual assessment questions from 50 courses at EPFL and evaluate whether two AI assistants, GPT-3.5 and GPT-4 can adequately answer these questions. We use eight prompting strategies to produce responses and find that GPT-4 answers an average of 65.8% of questions correctly, and can even produce the correct answer across at least one prompting strategy for 85.1% of questions. When grouping courses in our dataset by degree program, these systems already pass non-project assessments of large numbers of core courses in various degree programs, posing risks to higher education accreditation that will be amplified as these models improve. Our results call for revising program-level assessment design in higher education in light of advances in generative AI., Comment: 20 pages, 8 figures

Published
2024

2. Graph Reasoning for Explainable Cold Start Recommendation

Author

Frej, Jibril, Knezevic, Marta, and Kaser, Tanja

Subjects
Computer Science - Information Retrieval, H.3.3
Abstract

The cold start problem, where new users or items have no interaction history, remains a critical challenge in recommender systems (RS). A common solution involves using Knowledge Graphs (KG) to train entity embeddings or Graph Neural Networks (GNNs). Since KGs incorporate auxiliary data and not just user/item interactions, these methods can make relevant recommendations for cold users or items. Graph Reasoning (GR) methods, however, find paths from users to items to recommend using relations in the KG and, in the context of RS, have been used for interpretability. In this study, we propose GRECS: a framework for adapting GR to cold start recommendations. By utilizing explicit paths starting for users rather than relying only on entity embeddings, GRECS can find items corresponding to users' preferences by navigating the graph, even when limited information about users is available. Our experiments show that GRECS mitigates the cold start problem and outperforms competitive baselines across 5 standard datasets while being explainable. This study highlights the potential of GR for developing explainable recommender systems better suited for managing cold users and items.

Published
2024

7. Social support and help-seeking worldwide

Author

Szkody, Erica, Spence, Anjolee, Özdoğru, Asil, Tushir, Bhawna, Chang, Fennie, AKKAŞ, Handan, Sotomayor, Ian, Pavlova, Iuliia, Petrovic, Ivana, Norvilitis, Jill, Pena-Shaff, Judith, Maney, Julia, Arrow, Kaitlyn, Rodriguez, Laura, Moussa-Rogers, Mary, McTighe, Michael, Ogba, Kalu T. U., Yeung, Stephanie Ka Wai Au, Stoppa, Tara, Yang, Yuanyuan, Gosnell, Courtney L., Jérémie-Brink, Gihane, Van Nostrand, Joshua J., Arriaga, Patrícia, Martin, Amy, Maksimovic, Ana, Ursu, Andreea, Karakulak, Arzu, Fitapelli, Brianna, Ashdown, Brien K., Sen, Celia K. Naivar, Chartier, Chris, Shane-Simpson, Christina, Redker, Christopher M., McKinney, Cliff, Baro, Danisha, Manrique-Millones, Denisse, Reis, Eduardo Silva, Adamopoulou, Eirini, Volkan, Eliz, Tair, Ergyul, Trujillo, Ethan, Kocalar, Halil Emre, Blocker, Heidi, Malik, Hinza, Orta, İrem Metin, Santos, Jay Claus, Grahe, Jon, Cuccolo, Kelly, Wignall, Liam, McLain, Malorie, Kosic, Marianna, Aita, Moet, Nash, Monique, Miracle, Ogba Oluchi, Christiano, Olivia, Dimitrova, Radosveta, Varma, Rahul, Mann, Rebecca, Dhakal, Sandesh, Estrada-Villalta, Sara, Haden, Sara, Hamilton, Sarah, Camgöz, Selin Metin, Aljuberi, Shams, Chin, Stephanie, Kohn, Steven, Verma, Sunil K., Fletcher, Tifani, Singh, Tushar, Sanders, Abigail, Collado, Adryana, Adusei, Akua, Itani, Alaa, Kaser, Amanda, Wolfe, Amber, Stout, Amy, Akhavan, Anahita, Kirton, Angelique, Çeçen-Eroğul, Ayşe Rezan, Bilir, Bilge, Dupiton, Camille, Lovett, Caroline, Orsini, Chloe, Kpodo, Christney, Aceto, Christopher, Redden, Clare, NyKanen, Danielle, Yildiz, Deniz, Lutringer, Emily, Sevinç, Ender, Baranski, Erica, Khan, Fahd, Jia, Fanli, Cramariuc, Gabriel, Zhang, Guolin, Resulbegoviq, Hakile, Maree, Haneen, Kaur, Harleen, Nelson, Jessie, Espinoza, Jimena Santa Cruz, Hubbard, JoAnna, Edlund, John, Protzko, John, Hoang, Jolie, Stork, Jordan, Vasu, Jordan, Salazar, Jose Verdis, Myhers, Karyssa, Hayward, Kaylynn, Lu, Kevin, Beardmore, Leisha, Levkiv, Liliia, Godoy, Linda Katheryn Hernandez, Paulett, Liseth, Gonzalez, María Fernanda Bonilla, Kalantzis, Maria, Rodrigues, Mariana, Álvarez, Marinés Mejía, Ott, Marissa, Zlokovich, Martha, Brosnan, Mary Kate, Mazzaferro, Mateus, Yetkin, Melis, Johnson, Mikayla, Vukelic, Milica, Clark, Mitchell, AlMalik, Mohammad, Fedavi, Neda, Means-Simonsen, Noah, Cabrera, Onassis, Kovacevic, Panta, Zhang, Qingyi, Rushing, Rachel, Varakis, Rafail, Richardson, Randall, Koch, Sara, Lewis, Savannah, Barrera, Scott, Zheng, Sifan, Liu, Siyu, Papka, Sophia, Das, Sreeja, Ghimire, Srijana, Verma, Tanya, Hillman, Taylor, Ozkusen, Ugur C., Zhang, Xinyi (Spencer), Gu, Yiwen, Redd, Bryce, and Cascalheira, Cory J.

Published
2024
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8. Interfacial dynamics mediate surface binding events on supramolecular nanostructures

Author

Ty Christoff-Tempesta, Yukio Cho, Samuel J. Kaser, Linnaea D. Uliassi, Xiaobing Zuo, Shayna L. Hilburg, Lilo D. Pozzo, and Julia H. Ortony

Subjects
Science
Abstract

Abstract The dynamic behavior of biological materials is central to their functionality, suggesting that interfacial dynamics could also mediate the activity of chemical events at the surfaces of synthetic materials. Here, we investigate the influence of surface flexibility and hydration on heavy metal remediation by nanostructures self-assembled from small molecules that are decorated with surface-bound chelators in water. We find that incorporating short oligo(ethylene glycol) spacers between the surface and interior domain of self-assembled nanostructures can drastically increase the conformational mobility of surface-bound lead-chelating moieties and promote interaction with surrounding water. In turn, we find the binding affinities of chelators tethered to the most flexible surfaces are more than ten times greater than the least flexible surfaces. Accordingly, nanostructures composed of amphiphiles that give rise to the most dynamic surfaces are capable of remediating thousands of liters of 50 ppb Pb2+-contaminated water with single grams of material. These findings establish interfacial dynamics as a critical design parameter for functional self-assembled nanostructures.

Published
2024
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15. Compulsive avoidance in youths and adults with OCD: an aversive pavlovian-to-instrumental transfer study

Author

Aleya A. Marzuki, Paula Banca, Sara Garofalo, Luigi A. E. Degni, Daniela Dalbagno, Marco Badioli, Akeem Sule, Muzaffer Kaser, Anna Conway-Morris, Barbara J. Sahakian, and Trevor W. Robbins

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract Compulsive behaviour may often be triggered by Pavlovian cues. Assessing how Pavlovian cues drive instrumental behaviour in obsessive-compulsive disorder (OCD) is therefore crucial to understand how compulsions develop and are maintained. An aversive Pavlovian-to-Instrumental transfer (PIT) paradigm, particularly one involving avoidance/cancellation of negative outcomes, can enable such investigation and has not previously been studied in clinical-OCD. Forty-one participants diagnosed with OCD (21 adults; 20 youths) and 44 controls (21 adults; 23 youths) completed an aversive PIT task. Participants had to prevent the delivery of unpleasant noises by moving a joystick in the correct direction. They could infer these correct responses by learning appropriate response-outcome (instrumental) and stimulus-outcome (Pavlovian) associations. We then assessed whether Pavlovian cues elicited specific instrumental avoidance responses (specific PIT) and induced general instrumental avoidance (general PIT). We investigated whether task learning and confidence indices influenced PIT strength differentially between groups. There was no overall group difference in PIT performance, although youths with OCD showed weaker specific PIT than youth controls. However, urge to avoid unpleasant noises and preference for safe over unsafe stimuli influenced specific and general PIT respectively in OCD, while PIT in controls was more influenced by confidence in instrumental and Pavlovian learning. Thus, in OCD, implicit motivational factors, but not learnt knowledge, may contribute to the successful integration of aversive Pavlovian and instrumental cues. This implies that compulsive avoidance may be driven by these automatic processes. Youths with OCD show deficits in specific PIT, suggesting cue integration impairments are only apparent in adolescence. These findings may be clinically relevant as they emphasise the importance of targeting such implicit motivational processes when treating OCD.

Published
2024
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16. Sleep well, worry less: A co-design study for the development of the SMILE app

Author

Marcus Cormier, Matt Orr, Alanna Kaser, Hannah MacDonald, Jill Chorney, and Sandra Meier

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Objective With the coronavirus disease 2019 pandemic exacerbating mental health concerns, the prevalence rates of anxiety and sleep problems have increased alarmingly among youth. Although 90% of patients with anxiety experience sleep problems, current interventions for anxiety often do not target sleep problems in youth. Given this lack, we designed the SMILE app, an intervention that addresses both anxiety and sleep problems simultaneously. Methods As users’ perspectives are essential to ensure app engagement and uptake, the features, designs, and functions of the SMILE app were evaluated using a participatory app design approach. Participants ( N = 17) were youth aged 15 to 25 who reported co-morbid anxiety and sleep issues above clinical thresholds. After completing an online screening survey assessing demographics, anxiety, and sleep problems, participants shared app feedback through group-based, semi-structured co-design sessions. Qualitative analyses were conducted to identify common themes from participants’ feedback. Results While participants expressed enthusiasm for the SMILE app's features, particularly the Visualization, Journaling, and Psychoeducation features, and their variety, they criticized the design aspects of the app, such as the font and text amount. Most participants stated they would use the SMILE app or recommend it to a friend. Conclusion By actively involving the target population in the design process, the SMILE app has the potential to notably improve the mental well-being of youth, though further research and development are required to realize this potential fully.

Published
2024
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18. IMI—The Dynamic Choroid: New Insights, Challenges, and Potential Significance for Human Myopia

Author

Ostrin, Lisa A, Harb, Elise, Nickla, Debora L, Read, Scott A, Alonso-Caneiro, David, Schroedl, Falk, Kaser-Eichberger, Alexandra, Zhou, Xiangtian, and Wildsoet, Christine F

Subjects
Eye Disease and Disorders of Vision, Eye, Animals, Humans, Axial Length, Eye, Choroid, Bruch Membrane, Myopia, Models, Animal, Tomography, Optical Coherence, Biological Sciences, Medical and Health Sciences, Ophthalmology & Optometry
Abstract

The choroid is the richly vascular layer of the eye located between the sclera and Bruch's membrane. Early studies in animals, as well as more recent studies in humans, have demonstrated that the choroid is a dynamic, multifunctional structure, with its thickness directly and indirectly subject to modulation by a variety of physiologic and visual stimuli. In this review, the anatomy and function of the choroid are summarized and links between the choroid, eye growth regulation, and myopia, as demonstrated in animal models, discussed. Methods for quantifying choroidal thickness in the human eye and associated challenges are described, the literature examining choroidal changes in response to various visual stimuli and refractive error-related differences are summarized, and the potential implications of the latter for myopia are considered. This review also allowed for the reexamination of the hypothesis that short-term changes in choroidal thickness induced by pharmacologic, optical, or environmental stimuli are predictive of future long-term changes in axial elongation, and the speculation that short-term choroidal thickening can be used as a biomarker of treatment efficacy for myopia control therapies, with the general conclusion that current evidence is not sufficient.

Published
2023

19. Novel ion imaging concept based on time-of-flight measurements with low gain avalanche detectors

Author

Ulrich-Pur, Felix, Bergauer, Thomas, Hirtl, Albert, Irmler, Christian, Kaser, Stefanie, Pitters, Florian, and Rit, Simon

Subjects
Physics - Medical Physics, Physics - Instrumentation and Detectors
Abstract

Treatment planning in ion beam therapy requires accurate knowledge of the relative stopping power (RSP) distribution within the patient. Currently, RSP maps are obtained via conventional x-ray computed tomography (CT) by converting the measured attenuation coefficients of photons into RSP values for ions. Alternatively, to avoid conversion errors that are inherent to this method, ion computed tomography (iCT) can be used since it allows determining the RSP directly. In typical iCT systems, which usually consist of a tracking system and a separate residual energy detector, the RSP is obtained by measuring the particle trajectory and the corresponding water equivalent path length (WEPL) of single ions travelling through the patient. Within this work, we explore a novel iCT approach which does not require a residual energy detector. Instead, the WEPL is estimated indirectly by determining the change in time of flight (TOF) due to the energy loss along the ion's path. For this purpose, we have created a Geant4 model of a TOF-iCT system based on low gain avalanche detectors (LGADs), which are fast 4D-tracking detectors that can measure the time of arrival and position of individual particles with high spatial and time precision. To assess the performance of this TOF-iCT concept, we determined the RSP resolution and accuracy for different system settings using the Catphan CTP404 sensitometry phantom. Within the set of investigated system parameters, the lower limit of the RSP accuracy was found at 0.91%, demonstrating the proof-of-principle of this novel TOF-iCT concept. The main advantage of using this approach is that it could potentially facilitate clinical integration due to its compact design, which, however, requires experimental verification and an improvement of the current WEPL calibration procedure.

Published
2022
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21. Synthesis of biologically active Shiga toxins in cell-free systems

Author

Franziska Ramm, Danny Kaser, Irina König, Juliane Fellendorf, Dana Wenzel, Anne Zemella, Panagiotis Papatheodorou, Holger Barth, and Herbert Schmidt

Subjects
Medicine, Science
Abstract

Abstract Shiga toxins (Stx) produced by pathogenic bacteria can cause mild to severe diseases in humans. Thus, the analysis of such toxins is of utmost importance. As an AB5 toxin, Stx consist of a catalytic A-subunit acting as a ribosome-inactivating protein (RIP) and a B-pentamer binding domain. In this study we synthesized the subunits and holotoxins from Stx and Stx2a using different cell-free systems, namely an E. coli- and CHO-based cell-free protein synthesis (CFPS) system. The functional activity of the protein toxins was analyzed in two ways. First, activity of the A-subunits was assessed using an in vitro protein inhibition assay. StxA produced in an E. coli cell-free system showed significant RIP activity at concentrations of 0.02 nM, whereas toxins synthesized in a CHO cell-free system revealed significant activity at concentrations of 0.2 nM. Cell-free synthesized StxA2a was compared to StxA2a expressed in E. coli cells. Cell-based StxA2a had to be added at concentrations of 20 to 200 nM to yield a significant RIP activity. Furthermore, holotoxin analysis on cultured HeLa cells using an O-propargyl-puromycin assay showed significant protein translation reduction at concentrations of 10 nM and 5 nM for cell-free synthesized toxins derived from E. coli and CHO systems, respectively. Overall, these results show that Stx can be synthesized using different cell-free systems while remaining functionally active. In addition, we were able to use CFPS to assess the activity of different Stx variants which can further be used for RIPs in general.

Published
2024
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23. MRI of a presumptive intracranial histiocytic sarcoma with extracranial extension in a cat

Author

Anna Eichrodt, Nico Mauri, Maja Ruetten, Barbara Kaser-Hotz, and Susann Dressel-Böhm

Subjects
Veterinary medicine, SF600-1100
Abstract

Case summary A 4-year-old female neutered Scottish Fold shorthair cat was presented for further investigation of circling towards the right. MRI of the brain revealed an extensive, right-sided temporal muscle lesion with associated frontotemporal bone osteolysis, intracranial, extra-axial extension along the calvarial convexity with severe pachy- and leptomeningeal thickening and contrast enhancement, and an intra-axial space-occupying lesion in the right piriform lobe. The regional lymph nodes were moderately enlarged. Cytology of the right parotid lymph node and the temporal muscle was performed and histiocytic sarcoma (HS) was diagnosed. The owners elected euthanasia. Relevance and novel information HS of the central nervous system (CNS) is a very rare neoplastic condition in cats. Although a few case reports mention MRI, to our knowledge, the characterisation of MRI features of feline CNS HS have not been investigated in detail. Therefore, the aim of this case report was to describe the MRI characteristics in a feline HS involving not only the CNS, but also the fronto-temporal bone, temporal muscle and the regional lymph nodes. In particular, aggressive neoplastic bone invasion was a novel finding.

Published
2024
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24. A Drifting and Blowing Snow Scheme in the Weather Research and Forecasting Model

Author

Manuel Saigger, Tobias Sauter, Christina Schmid, Emily Collier, Brigitta Goger, Georg Kaser, Rainer Prinz, Annelies Voordendag, and Thomas Mölg

Subjects
WRF, snow drift, model development, glaciology, Physical geography, GB3-5030, Oceanography, GC1-1581
Abstract

Abstract Wind‐driven redistribution of surface snow is one of the key factors leading to heterogeneous accumulation of snow at small scales. Understanding the processes that lead to this heterogeneous accumulation is, therefore, of great importance to many glaciological and hydrological questions. High‐quality information on the wind field is necessary to realistically represent drifting snow. Here, we introduce a novel, intermediate‐complexity drifting and blowing snow module for the Weather Research and Forecasting (WRF) model that integrates seamlessly into the standard WRF infrastructure. The module also accounts for snow particle sublimation and considers the thermodynamic feedback on the atmospheric fields. In an idealized model environment the module was tested for physical consistency. Sensitivity experiments showed that drifting snow sublimation has on the one hand local effects on the erosion and deposition patterns and on the other hand non‐local effects on the larger‐scale atmosphere. The simple and computationally efficient implementation allows this module to be used for small‐scale and large‐scale simulations in polar and glaciated regions.

Published
2024
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41. A 3D printable tissue adhesive

Author

Sarah J. Wu, Jingjing Wu, Samuel J. Kaser, Heejung Roh, Ruth D. Shiferaw, Hyunwoo Yuk, and Xuanhe Zhao

Subjects
Science
Abstract

Abstract Tissue adhesives are promising alternatives to sutures and staples for joining tissues, sealing defects, and immobilizing devices. However, existing adhesives mostly take the forms of glues or hydrogels, which offer limited versatility. We report a direct-ink-write 3D printable tissue adhesive which can be used to fabricate bioadhesive patches and devices with programmable architectures, unlocking new potential for application-specific designs. The adhesive is conformable and stretchable, achieves robust adhesion with wet tissues within seconds, and exhibits favorable biocompatibility. In vivo rat trachea and colon defect models demonstrate the fluid-tight tissue sealing capability of the printed patches, which maintained adhesion over 4 weeks. Moreover, incorporation of a blood-repelling hydrophobic matrix enables the printed patches to seal actively bleeding tissues. Beyond wound closure, the 3D printable adhesive has broad applicability across various tissue-interfacing devices, highlighted through representative proof-of-concept designs. Together, this platform offers a promising strategy toward developing advanced tissue adhesive technologies.

Published
2024
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42. A novel framework to investigate wind-driven snow redistribution over an Alpine glacier: combination of high-resolution terrestrial laser scans and large-eddy simulations

Author

A. Voordendag, B. Goger, R. Prinz, T. Sauter, T. Mölg, M. Saigger, and G. Kaser

Subjects
Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract

Wind-driven snow redistribution affects the glacier mass balance by eroding or depositing mass from or to different parts of the glacier’s surface. High-resolution observations are used to test the ability of large-eddy simulations as a tool for distributed mass balance modeling. We present a case study of observed and simulated snow redistribution over Hintereisferner glacier (Ötztal Alps, Austria) between 6 and 9 February 2021. Observations consist of three high-resolution digital elevation models (Δx=1 m) derived from terrestrial laser scans taken shortly before, directly after, and 15 h after snowfall. The scans are complemented by datasets from three on-site weather stations. After the snowfall event, we observed a snowpack decrease of 0.08 m on average over the glacier. The decrease in the snow depth can be attributed to post-snowfall compaction and the wind-driven redistribution of snow. Simulations were performed with the Weather Research and Forecasting (WRF) model at Δx=48 m with a newly implemented snow drift module. The spatial patterns of the simulated snow redistribution agree well with the observed generalized patterns. Snow redistribution contributed −0.026 m to the surface elevation decrease over the glacier surface on 8 February, resulting in a mass loss of −3.9 kg m−2, which is on the same order of magnitude as the observations. With the single case study we cannot yet extrapolate the impact of post-snowfall events on the seasonal glacier mass balance, but the study shows that the snow drift module in WRF is a powerful tool to improve knowledge on wind-driven snow redistribution patterns over glaciers.

Published
2024
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43. Altered B-Cell Expansion and Maturation in Draining Mesenteric Lymph Nodes of Inflamed Gut in Crohn’s Disease

Author

Sonja Kappel-Latif, Prasanti Kotagiri, Lukas Schlager, Gabor Schuld, Natalie Walterskirchen, Vanessa Schimek, Gavin Sewell, Carina Binder, Johanna Jobst, Supriya Murthy, Barbara Messner, Stefanie Dabsch, Arthur Kaser, Paul A. Lyons, Michael Bergmann, Anton Stift, Rudolf Oehler, and Lukas W. Unger

Subjects
Diseases of the digestive system. Gastroenterology, RC799-869
Published
2024
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44. The gastrointestinal tract is a major source of the acute metformin-stimulated rise in GDF15

Author

John W. R. Kincaid, Debra Rimmington, John A. Tadross, Irene Cimino, Ilona Zvetkova, Arthur Kaser, Paul Richards, Satish Patel, Stephen O’Rahilly, and Anthony P. Coll

Subjects
Medicine, Science
Abstract

Abstract The hormone GDF15 is secreted in response to cellular stressors. Metformin elevates circulating levels of GDF15, an action important for the drug’s beneficial effects on body weight. Metformin can also inhibit mammalian respiratory complex I, leading to decreases in ATP:AMP ratio, activation of AMP Kinase (AMPK), and increased GDF15 production. We undertook studies using a range of mice with tissue-specific loss of Gdf15 (namely gut, liver and global deletion) to determine the relative contributions of two classical metformin target tissues, the gut and liver, to the elevation of GDF15 seen with metformin. In addition, we performed comparative studies with another pharmacological agent, the AMP kinase pan-activator, MK-8722. Deletion of Gdf15 from the intestinal epithelium significantly reduced the circulating GDF15 response to oral metformin, whereas deletion of Gdf15 from the liver had no effect. In contrast, deletion of Gdf15 from the liver, but not the gut, markedly reduced circulating GDF15 responses to MK-8722. Further, our data show that, while GDF15 restricts high-fat diet-induced weight gain, the intestinal production of GDF15 is not necessary for this effect. These findings add to the body of evidence implicating the intestinal epithelium in key aspects of the pharmacology of metformin action.

Published
2024
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45. A Search to Capture and Report on Feasibility of Implementation

Author

Hauk, Shandy and Kaser, Joyce

Abstract

This brief report describes the conception, development, and use of a rubric in evaluating the feasibility of a new program. The evaluators searched for a meta-analytic tool to help organize ideas about what data to collect, and why, in order to create a detailed story of feasibility of implementation for the client. The main advantage of using the rubric-based tool is that it lays out key evaluative criteria that are defined as concretely as possible. The article gives a brief overview of the literature on the use of rubrics in evaluation, illustrates the use of a feasibility of implementation rubric as a tool for development, analysis, and reporting, and concludes with recommendations emergent from the use of the rubric. [For the corresponding grantee submission, see ED600476.]

Published
2020
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46. Feasibility study of a proton CT system based on 4D-tracking and residual energy determination via time-of-flight

Author

Ulrich-Pur, Felix, Bergauer, Thomas, Burker, Alexander, Hirtl, Albert, Irmler, Christian, Kaser, Stefanie, Pitters, Florian, and Rit, Simon

Subjects
Physics - Medical Physics
Abstract

For dose calculations in ion beam therapy, it is vital to accurately determine the relative stopping power (RSP) distribution within the treated volume. Currently, RSP values are extrapolated from Hounsfield units (HU), measured with x-ray computed tomography (CT), which entails RSP inaccuracies due to conversion errors. A suitable method to improve the treatment plan accuracy is proton computed tomography (pCT). A typical pCT system consists of a tracking system and a separate residual energy (or range) detector to measure the RSP distribution directly. This paper introduces a novel pCT system based on a single detector technology, namely low gain avalanche detectors (LGADs). LGADs are fast 4D-tracking detectors, which can be used to simultaneously measure the particle position and time with precise timing and spatial resolution. In contrast to standard pCT systems, the residual energy is determined via a time-of-flight (TOF) measurement between different 4D-tracking stations. The design parameters for a realistic proton computed tomography system based on 4D-tracking detectors were studied and optimized using Monte Carlo simulations. The RSP accuracy and RSP resolution were measured inside the inserts of the CTP404 phantom to estimate the performance of the pCT system. After introducing a dedicated calibration procedure for the TOF calorimeter, RSP accuracies < 0.6 % could be achieved. Furthermore, the design parameters with the strongest impact on the RSP resolution were identified and a strategy to improve RSP resolution is proposed., Comment: Preprint submitted to Physics in Medicine and Biology. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it

Published
2021
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47. Semaglutide and cardiovascular outcomes in patients with obesity and prevalent heart failure: a prespecified analysis of the SELECT trial

Author

Abe, Mitsunori, Abhaichand, Rajpal K, Abhayaratna, Walter P, Abhyankar, Atul, Abidin, Imran B Zainal, Abou Assi, Hiba, Accini Mendoza, Jose L, Adas, Mine, Agaiby, John M, Agarwal, Devendra K, Agha, Maher, Ahmed, Azazuddin, Ahtiainen, Petteri, Aigner, Elmar, Ajay, Naik, Ali, Norsiah, Al-Karadsheh, Amer, Allison, Roy, Allison, Dale C, Alpenidze, Diana, Altuntas, Yuksel, Al-Zoebi, Ayham, Ambuj, Roy, Amerena, John, Anderson, Robert J, Ando, Toshiaki, Andrews, Robert, Antonova, Elizaveta, Appel, Karl-Friedrich, Arantes, Flávia B, Araz, Mustafa, Arbel, Yaron, Arenas León, José L, Argyrakopoulou, Georgia, Ariani, Mehrdad, Arias Mendoza, Maria A, Arif, Ahmed A, Arneja, Jaspal, Aroda, Vanita R, Aronne, Louis J, Arstall, Margaret, Asamoah, Njaimeh, Asanin, Milika, Audish, Hanid, Avram, Rodica, Badat, Aysha, Badiu, Corin V, Bakdash, Wa'el, Bakiner, Okan S, Bandezi, Vuyokazi N, Bang, Liew H, Bansal, Sandeep, Baranyai, Marietta, Barbarash, Olga, Barber, Mark, Barnum, Otis, Barone Rochette, Gilles, Bashkin, Amir, Baum, Seth, Bays, Harold E, Bazzoni Ruiz, Alberto E, Beckowski, Maciej, Beerachee, Yaswin, Bellary, Srikanth, Belousova, Lidia, Berk, Martin, Bernstein, Marc, Berra, Cesare, Beshay, Isaac, Bhagwat, Ajit, Bhan, Arti, Biggs, William C, Billings, Liana, Bitar, Fahed, Block, Bradley, Bo, Simona, Bogdanski, Pawel, Bolshakova, Olga O, Boshchenko, Alla A, Bosworth, Hayden, Botero Lopez, Rodrigo, Bôttcher, Morten, Bourgeois, Ronald, Brautigam, Donald, Breton, Cristian F, Broadley, Andrew, Brockmyre, Andrew P, Brodie, Steven K, Bucci, Marco, Budincevic, Hrvoje, Budoff, Matthew J, Buffman, Barry, Buljubasic, Nediljka, Buranapin, Supawan, Burgess, Lesley, Burguera, Bartolomé, Buriakovska, Olena, Buscemi, Silvio, Busch, Robert, Buse, John B, Buynak, Robert, Byrne, Maria, Caceaune, Elena, Cadena Bonfanti, Alberto J, Calinescu, Cornell V, Call, Robert S, Canecki Varzic, Silvija, Cannon, Kevin, Capehorn, Matt, Cariou, Bertrand, Carr, Jeffrey, Carrillo-Jimenez, Rodolfo, Casas, Marcelo, Castro, Almudena, Celik, Ahmet, Cercato, Cintia, Cermak, Ondrej, Cha, James Y, Chacon, Carolina, Chaicha-Brom, Tira, Chandra, Sandeep, Chettibi, Mohamed, Chevts, Julia, Christopher, Johann, Chrustowski, Witold, Cif, Adriana, Clark, Rebecca, Clark, Wayne, Clifford, Piers, Coetzee, Kathleen, Cogni, Giulia, Colao, Anna Maria, Colquhoun, David M, Concha, Mauricio, Condit, Jonathan, Constance, Christian, Constantin, Ciprian, Constantinescu, Silviana, Corbett, Clive, Cornett, George M, Correia, Marcelo, Cortinovis, Fiorenzo, Cosma, Dana, Creely, Steven, Cross, David, Curtis, Brian, Czochra, Wojciech, Daboul, Nizar Y, Dagdelen, Selcuk, D'agostino, Ronald, Dang, Cuong, Datta, Sudip, Davuluri, Ashwini K, Dawood, Saleem Y, De Jong, Douwe M, De La Cuesta, Carmen, De Los Rios Ibarra, Manuel O, De Pablo, Carmen, De Pauw, Michel, Dela Llana, Alexander, Delibasic, Maja, Delic-Brkljacic, Diana, Demicheli, Thibaud, Denger, Ralf J, Desai, Devang, Desai, Piyush, Desouza, Cyrus V, Dicker, Dror, Djenic, Nemanja, Dobson, Simon, Doi, Masayuki, Doran, Jesse A, Dorman, Reinhart, Dotta, Francesco, Dukes, Carl E, Duronto, Ernesto, Durst, Ronen, Dvoryashina, Irina V, Ebrahim, Iftikhar O, Eggebrecht, Holger, Egstrup, Kenneth, Ekinci, Elif I, Eliasson, Björn, Eliasson, Ken, Enache, Georgiana, Enculescu, Dan, English, Patrick, Ermakova, Polina, Ershova, Olga, Ezaki, Hirotaka, Ezhov, Marat, Farias, Eduardo, Farias, Javier M, Farsky, Pedro S, Ferreira, Daniel, Filteau, Pierre, Finneran, Matthew P, Folkens, Eric M, Fonseca, Alberto G, Fonseca, Luisa, Fordan, Steven, Fourie, Nyda, França, Sara, Franco, Denise R, Franek, Edward, Friedman, Keith, Frittitta, Lucia, Froer, Michael, Fuckar, Krunoslav, Fujii, Kenshi, Fujita, Ryoko, Fukushima, Yasushi, Fulat, Mohamed, Fulwani, Mahesh, Gajos, Grzegorz, Galyavich, Albert, Gambill, Michael L, Gandotra, Dheeraj, Winston, Gandy, Jr., Garcia Hernandez, Pedro A, García Reza, Raymundo, Garg, Naveen, Garg, Sandeep, Garvey, William T, Garza, Juan C, Gatta-Cherifi, Blandine, Gelev, Valeri, Geller, Steven A, Geohas, Jeffrey G, Georgiev, Borislav, Ghazi, Adline, Gilbert, Matthew P, Gilinskaya, Olga, Gislason, Gunnar, Gogas Yavuz, Dilek, González Albarrán, Olga, Gordeev, Ivan G, Gorton, Sidney C, Goudev, Assen, Gretland Valderhaug, Tone, Groenemeijer, Bjorn, Gul, Ibrahim, Gullestad, Lars, Gurieva, Irina, Guseva, Galina N, Hagenow, Andreas, Haluzik, Martin, Halvorsen, Sigrun, Hammoudi, Naima, Hanaoka, Keiichi, Hancu, Nicolae, Hanusch, Ursula, Harris, Kathleen, Harris, Barry, Hartleib, Michael, Hartman, Aaron N, Hata, Yoshiki, Heimer, Brian, Herman, Lee, Herzog, William, Hewitt, Eric, Heymer, Peter, Hiremath, Shirish, Hjelmesaeth, Joeran, Høgalmen, Rasmus Geir, Høivik, Hans Olav, Holmer, Helene, Horoshko, Olha, Houser, Patricia M, Hove, Jens D, Hsieh, I-Chang, Hulot, Jean-Sébastien, Hussein, Zanariah, Ilashchuk, Tetiana, Ilveskoski, Erkki, Ipatko, Irina, Iranmanesh, Ali, Isawa, Tsuyoshi, Issa, Moises, Iteld, Bruce, Iwasawa, Takamasa, Jabbar, Danish, Jackson, Richard A, Jackson-Voyzey, Ewart, Jacob, Stephan, Jaffrani, Naseem A, Jardula, Michael F, Jastreboff, Ania, Jensen, Svend E, Jerkins, Terri, Jimenez-Ramos, Silvia A, Jitendra Pal Singh, Sawhney, Johnson, Wallace, Joyce, John M, Jozefowska, Malgorzata, Jugnundan, Prakash, Jungmair, Wolfgang, Jurowiecki, Jaroslaw, Kadokami, Toshiaki, Kahali, Dhiman, Kahrmann, Gerd, Kaiser, Sergio E, Kalmucki, Piotr, Kanadasi, Mehmet, Kandath, David, Kania, Grzegorz, Kannan, J, Kapp, Cornelia, Karczmarczyk, Agnieszka, Kartalis, Athanasios, Kaser, Susanne, Kasim, Sazzli Shahlan, Kastelic, Richard, Kato, Toshiaki, Katova, Tzvetana, Kaul, Upendra, Kautzky-Willer, Alexandra, Kawanishi, Masahiro, Kayikcioglu, Meral, Kazakova, Elena E, Keeling, Philip, Kempe, Hans-Peter, Kereiakes, Dean J, Kerneis, Mathieu, Keski-Opas, Tiina, Khadra, Suhail, Khaisheva, Larisa, Kharakhulakh, Marina, Khlevchuk, Tatiana, Khoo, Jeffrey, Kiatchoosakun, Songsak, Kinoshita, Noriyuki, Kinoshita, Masaharu, Kitamura, Ryoji, Kiyosue, Arihiro, Klavina, Irina, Klein, Eric J, Klimsa, Zdenek, Klonoff, David, Klug, Eric, Kobalava, Zhanna, Kodera, Satoshi, Koga, Tokushi, Kokkinos, Alexander, Koleckar, Pavel, Könyves, László, Koren, Michael J, Kormann, Adrian P, Kostner, Karam, Kreutzmann, Kristin, Krishinan, Saravanan, Krishnasamy, Sathya S, Krivosheeva, Inga, Kruljac, Ivan, Kubicki, Ted, Kuchar, Ladislav, Kujawiak, Monika, Kunishige, Hideyuki, Kurtinecz, Melinda, Kurtz Lisboa, Hugo R, Kushnir, Mykola, Kyyak, Yulian, Lace, Arija, Lakka, Timo, Lalic, Nebojsa, Lalic, Katarina, Lambadiari, Vaia, Lanaras, Leonidas, Lang, Chim, Langlois, Marie-France, Lash, Joseph, Latkovskis, Gustavs, Lau, David, Lazcano Soto, José Roberto, Le Roux, Carel, Ledesma, Gilbert N, Lee, Li Yuan, Lee, Thung-Lip, Lee, Kelvin, Lehrke, Michael, Leite, Silmara O, Leksycka, Agata, Lenzmeier, Thomas, Leonetti, Frida, Leonidova, Viktoriia, Lepor, Norman, Leung, Melissa, Levchenko, Olena, Levins, Peter, Levy, Louis J, Lewis, Matthew, Liberopoulos, Evangelos, Liberty, Idit, Lindholm, Carl-Johan, Lingvay, Ildiko, Linhart, Ales, Liu, Ming-En, Liu, Jenny, Lofton, Holly, Logemann, Timothy, Lombaard, Johannes J, Lombard, Landman, Lorraine, Richard, Lovell, Charles F, Ludvik, Bernhard, Lukaszewicz, Monika, Lupkovics, Géza, Lupovitch, Steven, Lupu, Sirona, Lynch, Mary, Lysak, Zoreslava, Lysenko, Tatyana A, Maeda, Hajime, Maeda, Itaru, Mæng, Michael, Mahajan, Ajay U, Maher, Vincent, Maia, Lilia N, Makotoko, Ellen M, Malavazos, Alexis, Malecha, Jan, Malicherova, Emilia, Manita, Mamoru, Mannucci, Edoardo, Mareev, Viacheslav, Marin, Liliana, Markova, Tatiana, Marso, Steven P, Martens, F.M.A.C., Martinez, Cuper, Martinez Cano, Carlos A, Martins, Cristina, Masmiquel Comas, Luis, Matsumoto, Takashi, Mcdonald, Kenneth, Mcgowan, Barbara, Mcgrew, Frank, Mclean, Barry K, Mcpherson, David D, Merino Torres, Juan Francisco, Meyers, Peter, Meyhöfer, Sebastian, Mezquita Raya, Pedro, Milanova, Maria, Milicic, Davor, Miller, Gary, Mills, Richard E, Mîndrescu, Nicoleta M, Mingrone, Geltrude, Minkova, Dotska A, Mirani, Marco, Miras, Alexander, Mistodie, Cristina V, Mitomo, Satoru, Mittal, Sanjay, Miyake, Taiji, Miyamoto, Naomasa, Molony, David, Monteiro, Pedro, Mooe, Thomas, Moosa, Naeem, Morales Portillo, Cristobal, Morales Villegas, Enrique C, Morawski, Emily J, Morbey, Claire, Morin, Robert P, Morisaki, Kuniaki, Morosanu, Magdalena, Mosenzon, Ofri, Mostovoy, Yuriy, Munir, Iqbal, Muratori, Fabrizio, Murray, Ryan, Murthy, Avinash, Myint, Min, Myshanych, Galyna, Nafornita, Valerica, Nagano, Takuya, Nair, Sunil, Nakhle, Samer N, Natsuaki, Masahiro, Nayak, Bindu M, Nibouche, Djamel Eddine, Nicholls, Stephen, Nicolau, José C, Nicolescu, Georgiana, Nierop, Peter, Niskanen, Leo, Ntaios, George, Nygård, Ottar Kjell, Oaks, Joshua B, Obrezan, Andrey, O'donnell, Philip, Oguri, Mitsutoshi, Oguzhan, Abdurrahman, Oh, Fumiki, Ohsugi, Mitsuru, Okada, Yoshio, Okayama, Hideki, Onaca, Adriana, Onaka, Haruhiko, Oneil, Patrick, Ong, Tiong Kiam, Ong, Stephen, Ono, Yasuhiro, Opsahl, Paul J, Ostrowska, Lucyna, Oviedo, Alejandra, Ozdogan, Oner, Ozpelit, Ebru, Pagkalos, Emmanouil, Pagotto, Uberto, Páll, Dénes, Pandey, Amritanshu- Shekhar, Parkhomenko, Oleksandr, Parvathareddy, Krishna Malakondareddy, Patel, Minesh B, Patsilinakos, Sotirios, Paul, Neil, Pedersen, Sue, Pereira, Isabel, Pereira, Edward Scott, Perez Terns, Paula, Perez-Vargas, Elba A, Pergaeva, Yulia, Perkelvald, Alexander, Peskov, Andrey B, Peter, Jonathan, Peters, Karina, Petit, Catherine, Petrov, Ivo, Philis-Tsimikas, Athena, Pietilä, Mikko, Pinto, Fausto, Piros, Annamária, Piyayotai, Dilok, Platonov, Dmitriy, Poirier, Paul, Pop, Lavinia, Popa, Bogdan, Pop-Busui, Rodica, Poremba, John, Porto, Alejandro, Postadzhiyan, Arman, Pothineni, Ramesh B, Potu, Ranganatha P, Powell, Talessa, Prafulla, Kerkar G, Prager, Rudolf, Prakova-Teneva, Zhulieta R, Pratley, Richard E, Price, Hermione, Pulka, Grazyna, Pullman, John, Punt, Zelda E, Purighalla, Raman S, Purnell, Peter, Qureshi, Mansoor, Rabasa-Lhoret, Remi, Raikhel, Marina A, Rancane, Gita, Randeva, Harpal, Rasouli, Neda, Reurean Pintilei, Delia V, Reyes, Ciro R, Rezgale, Inga, Rice, Eva, Riley, Thaddeus H, Risser, Joseph A, Ristic, Arsen, Rivas Fernández, Margarita, Robbins, David, Robitaille, Yves, Rodbard, Helena W, Rodriguez Plazas, Jaime A, Römer, T.J., Rosen, Glenn, Rosman, Dr Azhari, Rossi, Paulo, Rudenko, Leonid, Ruffin, Omari, Ruhani, Anwar Irawan, Runev, Nikolay, Ruyatkin, Dmitriy, Ruzic, Alen, Ryabov, Vyacheslav V, Rydén, Lars, Saggar, Suraj, Sakamoto, Tomohiro, Salter, Tim, Samal, Aditya K, Samoilova, Yulia, Sanabria, Hugo D, Sancak, Seda, Sangrigoli, Renee, Sansanayudh, Nakarin, Santini, Ferruccio, Saraiva, José F, Sardinov, Ruslan, Sargeant, William, Sari, Ramazan, Sathananthan, Airani, Sathyapalan, Thozhukat, Sato, Atsushi, Sauter, Joachim, Sbraccia, Paolo, Schaap, J., Schaum, Thomas, Schiele, François, Scott, John, Segal Lieberman, Gabriella, Segner, Alexander, Senior, Roxy, Sergeeva-Kondrachenko, Marina Y, Serota, Harvey, Serusclat, Pierre, Sethi, Rishi, Shah, Manoj K, Shah, Neerav, Shalaev, Sergey, Sharma, Raj, Sharma, Sumeet, Shaydyuk, Oksana, Shea, Heidi C, Shechter, Michael, Shehadeh, Naim, Shirazi, Mitra, Shlesinger, Yshay, Shneker, Ayham, Shutemova, Elena, Siasos, Gerasimos, Siddiqui, Imran A, Sidey, Jennifer, Sigal, Felix, Sime, Iveta, Singh, Narendra, Siraj, Elias, Sivalingam, Kanagaratnam, Skoczylas, Grzegorz, Smith, Stephen K, Smolenskaya, Olga, Snyder, Brian, Sofer, Yael, Sofley, C.W., Solano, Royce, Sonmez, Yusuf A, Sorokin, Maxim, Soto González, Alfonso, Sotolongo, Carlos, Soufer, Joseph, Soyluk Selcukbiricik, Ozlem, Spaic, Tamara, Spriggs, Douglas, Sreenan, Seamus, Stahl, Hans-Detlev, Stamatelopoulos, Kimon, Stanislavchuk, Mykola, Stankovic, Goran, Stasek, Josef, Steg, Gabriel, Steindorf, Joerg, Stephan, Dominique, Stewart, John, Still, Christopher, St-Maurice, Francois, Stogowska-Nikiciuk, Barbara, Stoker, Jeff, Stokic, Edita, Strzelecka, Anna, Sturm, Kerstin, Sueyoshi, Atsushi, Sugiura, Toshiyuki, Sultan, Senan, Suplotova, Lyudmila A, Suwanagool, Arisara, Suwanwalaikorn, Sompongse, Sveklina, Tatiana, Swanson, Neil, Swart, Henk, Swenson, Bradley P, Szyprowska, Ewa, Tait, Graeme, Takács, Róbert, Takeuchi, Yuzo, Tamirisa, Aparna, Tanaka, Hideki, Tatovic, Danijela, Tellier, Guy, Teragawa, Hiroki, Teterovska, Dace, Thomas, Nihal, Thuan, Jean-Francois, Tinahones, Francisco, Tisheva-Gospodinova, Snezhanka, Toarba, Cristina, Todoriuk, Liudmyla, Tokmakova, Mariya, Tonstad, Serena, Toplak, Hermann, Tran, Henry, Tripathy, Devjit, Trusau, Aliaksandr, Tsabedze, Nqoba, Tsougos, Elias, Tsoukas, George M, Tuccinardi, Dario, Tuna, Mazhar M, Turatti, Luiz A, Tziomalos, Konstantinos, Udommongkol, Chesda, Ueda, Osamu, Ukkola, Olavi, Unubol, Mustafa, Urbach, Dorothea, Urina Triana, Miguel A, Usdan, Lisa, Vaidya, Bijay, Vale, Noah, Vallieres, Gerald, Van Beek, Andre P, Van De Borne, Philippe, Van Der Walt, Eugene, Van Der Zwaan, C., Van Nieuwenhuizen, Elane, Van Zyl, Louis, Vanduynhoven, Philippe, Varghese, Kiron, Vasileva, Svetla P, Vassilev, Dobrin, Vathesatogkit, Prin, Velychko, Valentyna, Vercammen, Chris, Verges, Bruno, Verma, Subodh, Verwerft, Jan, Vesela, Alica, Veselovskaya, Nadezhda G, Vettor, Roberto, Veze, Irina, Vijan, Vinod, Vijayaraghavan, Ram, Villarino, Adriana, Vincent, Royce, Vinogradova, Oksana, Vishlitzky, Victor, Vlad, Adrian, Vladu, Ionela Mihaela, Vo, Anthony, Von Engelhardt, Charlotte, Von Münchhausen, Candy, Vorobyeva, Olga, Vossenberg, T., Vrolix, Mathias, Vukicevic, Marjana, Vyshnyvetskyy, Ivan, Wadvalla, Shahid, Wagner, Jan, Wakeling, John, Wallace, James, Wan Mohamed, Wan Mohd Izani, Wander, Gurpreet S, Ward, Kathleen, Warren, Mark L, Watanabe, Atsuyuki, Weber, Bruce, Weintraub, Howard, Weisnagel, John, Welker, James, Wendisch, Ulrich, Wenocur, Howard S, Wierum, Craig, Wilding, John, William, Maged, Wilson, Pete, Wilson, Jonathan P, Wong, Yuk-Ki, Wongcharoen, Wanwarang, Wozniak, Iwona, Wu, Chau-Chung, Wyatt, Nell, Wynne, Alan, Yamaguchi, Hiroshi, Yamasaki, Masahiro, Yazici, Dilek, Yeh, Hung-I, Yotov, Yoto, Yuan, Qingyang, Zacher, Jeffrey, Zagrebelnaya, Olga, Zaidman, Cesar J, Zalevskaya, Alsu, Zarich, Stuart, Zatelli, Maria Chiara, Zeller, Helga, Zhdanova, Elena A, Zornitzki, Taiba, Zrazhevskiy, Konstantin, Zykov, Mikhail, Lincoff, A Michael, Ryan, Donna H, Colhoun, Helen M, Deanfield, John E, Emerson, Scott S, Kahn, Steven E, Kushner, Robert F, Plutzky, Jorge, Brown-Frandsen, Kirstine, Hovingh, G Kees, Hardt-Lindberg, Soren, Tornøe, Christoffer W, Deanfield, John, Scirica, Benjamin M, Ryan, Donna, Kosiborod, Mikhail N, Hardt-Lindberg, Søren, Frenkel, Ofir, Weeke, Peter E, Rasmussen, Søren, Lang, Chim C, and Urina-Triana, Miguel

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2024
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