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2. A safe, effective and adaptable live-attenuated SARS-CoV-2 vaccine to reduce disease and transmission using one-to-stop genome modifications

Author

Schön, Jacob, Barut, G. Tuba, Trüeb, Bettina Salome, Halwe, Nico Joel, Berenguer Veiga, Inês, Kratzel, Annika, Ulrich, Lorenz, Kelly, Jenna N., Brügger, Melanie, Wylezich, Claudia, Taddeo, Adriano, Aguiar Moreira, Etori, Túrós, Demeter, Grau-Roma, Llorenç, Ahrens, Ann Kathrin, Schlottau, Kore, Britzke, Tobias, Breithaupt, Angele, Corleis, Björn, Kochmann, Jana, Oliveira Esteves, Blandina I., Almeida, Lea, Thomann, Lisa, Devisme, Christelle, Stalder, Hanspeter, Steiner, Silvio, Ochsenbein, Sarah, Schmied, Kimberly, Labroussaa, Fabien, Jores, Jörg, V’kovski, Philip, Cmiljanovic, Vladimir, Alves, Marco P., Benarafa, Charaf, Ebert, Nadine, Hoffmann, Donata, Beer, Martin, and Thiel, Volker

Published
2024
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3. Dual input stream transformer for vertical drift correction in eye-tracking reading data

Author

Mercier, Thomas M., Budka, Marcin, Vasilev, Martin R., Kirkby, Julie A., Angele, Bernhard, and Slattery, Timothy J.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, 91Cxx, J.4
Abstract

We introduce a novel Dual Input Stream Transformer (DIST) for the challenging problem of assigning fixation points from eye-tracking data collected during passage reading to the line of text that the reader was actually focused on. This post-processing step is crucial for analysis of the reading data due to the presence of noise in the form of vertical drift. We evaluate DIST against eleven classical approaches on a comprehensive suite of nine diverse datasets. We demonstrate that combining multiple instances of the DIST model in an ensemble achieves high accuracy across all datasets. Further combining the DIST ensemble with the best classical approach yields an average accuracy of 98.17 %. Our approach presents a significant step towards addressing the bottleneck of manual line assignment in reading research. Through extensive analysis and ablation studies, we identify key factors that contribute to DIST's success, including the incorporation of line overlap features and the use of a second input stream. Via rigorous evaluation, we demonstrate that DIST is robust to various experimental setups, making it a safe first choice for practitioners in the field., Comment: This work has been submitted to the IEEE Transactions on pattern analysis and machine intelligence for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible

Published
2023

7. Automated approach for source location in shallow waters

Author

Niclas, Angèle and Garnier, Josselin

Subjects
Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Physics - Classical Physics
Abstract

This paper proposes a fully automated method for recovering the location of a source and medium parameters in shallow waters. The scenario involves an unknown source emitting low-frequency sound waves in a shallow water environment, and a single hydrophone recording the signal. Firstly, theoretical tools are introduced to understand the robustness of the warping method and to propose and analyze an automated way to separate the modal components of the recorded signal. Secondly, using the spectrogram of each modal component, the paper investigates the best way to recover the modal travel times and provides stability estimates. Finally, a penalized minimization algorithm is presented to recover estimates of the source location and medium parameters. The proposed method is tested on experimental data of right whale gunshot and combustive sound sources, demonstrating its effectiveness in real-world scenarios.

Published
2023

9. Rustrela Virus in Wild Mountain Lion (Puma concolor) with Staggering Disease, Colorado, USA

Author

Karen A. Fox, Angele Breithaupt, Martin Beer, Dennis Rubbenstroth, and Florian Pfaff

Subjects
Rustela virus, rubivirus, viruses, encephalomyelitis, encephalitis, ataxia, Medicine, Infectious and parasitic diseases, RC109-216
Abstract

We identified a rustrela virus variant in a wild mountain lion (Puma concolor) in Colorado, USA. The animal had clinical signs and histologic lesions compatible with staggering disease. Considering its wide host range in Europe, rustrela virus should be considered as a cause for neurologic diseases among mammal species in North America.

Published
2024
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10. Reassortment incompetent live attenuated and replicon influenza vaccines provide improved protection against influenza in piglets

Author

Annika Graaf-Rau, Kathrin Schmies, Angele Breithaupt, Kevin Ciminski, Gert Zimmer, Artur Summerfield, Julia Sehl-Ewert, Kathrin Lillie-Jaschniski, Carina Helmer, Wiebke Bielenberg, Elisabeth grosse Beilage, Martin Schwemmle, Martin Beer, and Timm Harder

Subjects
Immunologic diseases. Allergy, RC581-607, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Swine influenza A viruses (swIAV) cause an economically important respiratory disease in modern pig production. Continuous virus transmission and antigenic drift are difficult to control in enzootically infected pig herds. Here, antibody-positive piglets from a herd enzootically infected with swIAV H1N2 (clade 1 A.3.3.2) were immunized using a homologous prime-boost vaccination strategy with novel live attenuated influenza virus (LAIV) based on a reassortment-incompetent bat influenza-swIAV chimera or a vesicular stomatitis virus-based replicon vaccine. Challenge infection of vaccinated piglets by exposure to H1N2 swIAV-infected unvaccinated seeder pigs showed that both LAIV and replicon vaccine markedly reduced virus replication in the upper and lower respiratory tract, respectively, compared to piglets immunized with commercial heterologous or autologous adjuvanted whole-inactivated virus vaccines. Our novel vaccines may aid in interrupting continuous IAV transmission chains in large enzootically infected pig herds, improve the health status of the animals, and reduce the risk of zoonotic swIAV transmission.

Published
2024
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11. Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs

Author

Ali, Sanna J., Christin, Angèle, Smart, Andrew, and Katila, Riitta

Subjects
Computer Science - Computers and Society, Computer Science - Artificial Intelligence, K.7.1, K.7.2, K.7.4, K.4.1, K.5.2
Abstract

Amidst decline in public trust in technology, computing ethics have taken center stage, and critics have raised questions about corporate ethics washing. Yet few studies examine the actual implementation of AI ethics values in technology companies. Based on a qualitative analysis of technology workers tasked with integrating AI ethics into product development, we find that workers experience an environment where policies, practices, and outcomes are decoupled. We analyze AI ethics workers as ethics entrepreneurs who work to institutionalize new ethics-related practices within organizations. We show that ethics entrepreneurs face three major barriers to their work. First, they struggle to have ethics prioritized in an environment centered around software product launches. Second, ethics are difficult to quantify in a context where company goals are incentivized by metrics. Third, the frequent reorganization of teams makes it difficult to access knowledge and maintain relationships central to their work. Consequently, individuals take on great personal risk when raising ethics issues, especially when they come from marginalized backgrounds. These findings shed light on complex dynamics of institutional change at technology companies., Comment: 10 pages, to be published in ACM FAccT '23

Published
2023
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17. The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces

Author

Lo, Kyle, Chang, Joseph Chee, Head, Andrew, Bragg, Jonathan, Zhang, Amy X., Trier, Cassidy, Anastasiades, Chloe, August, Tal, Authur, Russell, Bragg, Danielle, Bransom, Erin, Cachola, Isabel, Candra, Stefan, Chandrasekhar, Yoganand, Chen, Yen-Sung, Cheng, Evie Yu-Yen, Chou, Yvonne, Downey, Doug, Evans, Rob, Fok, Raymond, Hu, Fangzhou, Huff, Regan, Kang, Dongyeop, Kim, Tae Soo, Kinney, Rodney, Kittur, Aniket, Kang, Hyeonsu, Klevak, Egor, Kuehl, Bailey, Langan, Michael, Latzke, Matt, Lochner, Jaron, MacMillan, Kelsey, Marsh, Eric, Murray, Tyler, Naik, Aakanksha, Nguyen, Ngoc-Uyen, Palani, Srishti, Park, Soya, Paulic, Caroline, Rachatasumrit, Napol, Rao, Smita, Sayre, Paul, Shen, Zejiang, Siangliulue, Pao, Soldaini, Luca, Tran, Huy, van Zuylen, Madeleine, Wang, Lucy Lu, Wilhelm, Christopher, Wu, Caroline, Yang, Jiangjiang, Zamarron, Angele, Hearst, Marti A., and Weld, Daniel S.

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

Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature grows, the need for new technology to support the reading process grows. In contrast to the process of finding papers, which has been transformed by Internet technology, the experience of reading research papers has changed little in decades. The PDF format for sharing research papers is widely used due to its portability, but it has significant downsides including: static content, poor accessibility for low-vision readers, and difficulty reading on mobile devices. This paper explores the question "Can recent advances in AI and HCI power intelligent, interactive, and accessible reading interfaces -- even for legacy PDFs?" We describe the Semantic Reader Project, a collaborative effort across multiple institutions to explore automatic creation of dynamic reading interfaces for research papers. Through this project, we've developed ten research prototype interfaces and conducted usability studies with more than 300 participants and real-world users showing improved reading experiences for scholars. We've also released a production reading interface for research papers that will incorporate the best features as they mature. We structure this paper around challenges scholars and the public face when reading research papers -- Discovery, Efficiency, Comprehension, Synthesis, and Accessibility -- and present an overview of our progress and remaining open challenges.

Published
2023

18. Exploring Category Structure with Contextual Language Models and Lexical Semantic Networks

Author

Renner, Joseph, Denis, Pascal, Gilleron, Rémi, and Brunellière, Angèle

Subjects
Computer Science - Machine Learning
Abstract

Recent work on predicting category structure with distributional models, using either static word embeddings (Heyman and Heyman, 2019) or contextualized language models (CLMs) (Misra et al., 2021), report low correlations with human ratings, thus calling into question their plausibility as models of human semantic memory. In this work, we revisit this question testing a wider array of methods for probing CLMs for predicting typicality scores. Our experiments, using BERT (Devlin et al., 2018), show the importance of using the right type of CLM probes, as our best BERT-based typicality prediction methods substantially improve over previous works. Second, our results highlight the importance of polysemy in this task: our best results are obtained when using a disambiguation mechanism. Finally, additional experiments reveal that Information Contentbased WordNet (Miller, 1995), also endowed with disambiguation, match the performance of the best BERT-based method, and in fact capture complementary information, which can be combined with BERT to achieve enhanced typicality predictions.

Published
2023

19. The Semantic Scholar Open Data Platform

Author

Kinney, Rodney, Anastasiades, Chloe, Authur, Russell, Beltagy, Iz, Bragg, Jonathan, Buraczynski, Alexandra, Cachola, Isabel, Candra, Stefan, Chandrasekhar, Yoganand, Cohan, Arman, Crawford, Miles, Downey, Doug, Dunkelberger, Jason, Etzioni, Oren, Evans, Rob, Feldman, Sergey, Gorney, Joseph, Graham, David, Hu, Fangzhou, Huff, Regan, King, Daniel, Kohlmeier, Sebastian, Kuehl, Bailey, Langan, Michael, Lin, Daniel, Liu, Haokun, Lo, Kyle, Lochner, Jaron, MacMillan, Kelsey, Murray, Tyler, Newell, Chris, Rao, Smita, Rohatgi, Shaurya, Sayre, Paul, Shen, Zejiang, Singh, Amanpreet, Soldaini, Luca, Subramanian, Shivashankar, Tanaka, Amber, Wade, Alex D., Wagner, Linda, Wang, Lucy Lu, Wilhelm, Chris, Wu, Caroline, Yang, Jiangjiang, Zamarron, Angele, Van Zuylen, Madeleine, and Weld, Daniel S.

Subjects
Computer Science - Digital Libraries, Computer Science - Computation and Language
Abstract

The volume of scientific output is creating an urgent need for automated tools to help scientists keep up with developments in their field. Semantic Scholar (S2) is an open data platform and website aimed at accelerating science by helping scholars discover and understand scientific literature. We combine public and proprietary data sources using state-of-the-art techniques for scholarly PDF content extraction and automatic knowledge graph construction to build the Semantic Scholar Academic Graph, the largest open scientific literature graph to-date, with 200M+ papers, 80M+ authors, 550M+ paper-authorship edges, and 2.4B+ citation edges. The graph includes advanced semantic features such as structurally parsed text, natural language summaries, and vector embeddings. In this paper, we describe the components of the S2 data processing pipeline and the associated APIs offered by the platform. We will update this living document to reflect changes as we add new data offerings and improve existing services., Comment: 8 pages, 6 figures

Published
2023

20. The effects of a resiliency intervention program on indicators of resiliency and burnout in psychiatry residents

Author

Amy Riese, Angele McGrady, Julie Brennan, Denis Lynch, Daniel Valentine, and Jordin Nowak

Subjects
Burnout, Mindfulness, Perceived stress, Psychiatric residents, Resiliency, Psychology, BF1-990
Abstract

Abstract Studies have documented the stress and burnout related to medical residency and the need to design programs to reduce burnout. This study evaluates the effectiveness of an intervention for psychiatric residents to improve resiliency and reduce burnout. A six-session program was offered that included mindfulness, self-regulation, and coping strategies. The program was approved by the Institutional Review Board. Standardized assessment tools measuring perceived stress, mindfulness, professional quality of life, burnout and resiliency were used pre and post program. Burnout was defined based on any one of the three criteria for burnout: high emotional exhaustion, high depersonalization or low personal accomplishment. Six one-hour sessions were offered to residents during protected time during the academic year. Analysis compared residents who met and did not meet criteria for burnout pre and post program. Twenty-seven residents provided informed consent, and 23 had complete data on the indicators of burnout. Seven of 23 met criteria for burnout and those significantly reduced their perceived stress, emotional exhaustion, burnout and increased their mindfulness scores post program (p

Published
2024
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21. Diffuse laser illumination for Maxwellian view Doppler holography of the retina

Author

Bratasz, Zofia, Martinache, Olivier, Blazy, Yohan, Denis, Angèle, Auffret, Coline, Huignard, Jean-Pierre, Rossi, Ethan, Chhablani, Jay, Sahel, José-Alain, Bonnin, Sophie, Hage, Rabih, Koskas, Patricia, Gatinel, Damien, Vignal, Catherine, Yavchitz, Amelie, Vasseur, Vivien, Tadayoni, Ramin, Ducloux, Claire, Ortoli, Manon, Tordjman, Marvin, Tick, Sarah, Mrejen, Sarah, Paques, Michel, and Atlan, Michael

Subjects
Physics - Optics, Physics - Applied Physics, Physics - Medical Physics
Abstract

We describe the advantages of diffuse illumination in laser holography for ophthalmology. The presence of a diffusing element introduces an angular diversity of the optical radiation and reduces its spatial coherence, which spreads out the energy distribution of the illumination beam in the focal plane of the eyepiece. The field of view of digitally computed retinal images can easily be increased as the eyepiece can be moved closer to the cornea to obtain a Maxwellian view of the retina without compromising ocular safety. Compliance with American and European safety standards for ophthalmic devices is more easily obtained by preventing the presence of a laser hot spot observed in front of the cornea in the absence of a scattering element. Diffuse laser illumination does not introduce any adverse effects on digitally computed laser Doppler images., Comment: 9 pages

Published
2022

22. Layer stripping approach to reconstruct shape defects in waveguides using locally resonant frequencies

Author

Niclas, Angèle and Seppecher, Laurent

Subjects
Mathematics - Numerical Analysis
Abstract

This article present a new method to reconstruct slowly varying width defects in 2D waveguides using one-side section measurements at locally resonant frequencies. At these frequencies, locally resonant modes propagate in the waveguide up to a "cut-off" position. In this particular point, the local width of the waveguide can be recovered. Given multi-frequency measurements taken on a section of the waveguide, we perform an efficient layer stripping approach to recover shape variations slice by slice. It provides an L infinite-stable method to reconstruct the width of a slowly monotonous varying waveguide. We validate this method on numerical data and discuss its limits., Comment: arXiv admin note: text overlap with arXiv:2206.06441

Published
2022

23. Lamb modes and Born approximation for small shape defects inversion in elastic plates

Author

Bonnetier, Eric, Niclas, Angele, and Seppecher, Laurent

Subjects
Mathematics - Analysis of PDEs, Mathematical Physics
Abstract

The aim of this work is to present theoretical tools to study wave propagation in elastic waveguides and perform multi-frequency scattering inversion to reconstruct small shape defects in a 2D and 3D elastic plate. Given surface multi-frequency wavefield measurements, we use a Born approximation to reconstruct localized defect in the geometry of the plate. To justify this approximation, we introduce a rigorous framework to study the propagation of elastic wavefield generated by arbitrary sources. By studying the decreasing rate of the series of inhomogeneous Lamb mode, we prove the well-posedness of the PDE that model elastic wave propagation in 2D and 3D planar waveguides. We also characterize the critical frequencies for which the Lamb decomposition is not valid. Using these results, we generalize the shape reconstruction method already developed for acoustic waveguide to 2D elastic waveguides and provide a stable reconstruction method based on a mode-by-mode spacial Fourier inversion given by the scattered field.

Published
2022

24. The Effects of a Structured Resiliency Program on Indicators of Burnout in Medical Residents

Author

Amy Riese, Julie Brennan, Denis Lynch, Jordin Nowak, and Angele McGrady

Subjects
resiliency, burnout, medical residents, mindfulness, perceived stress, Medicine (General), R5-920
Abstract

Because of the well documented burnout and stress experienced by medical residents, the Accreditation Council for Graduate Education (ACGME) has directed training programs to address these issues in their residents. The current study describes a resiliency enhancement program administered to residents from differing residencies. Method: Residents received group-based sessions focusing on awareness of stress reactions, mindfulness, cognitive coping skills and balancing life and work. All sessions were interactive. The training occurred over a 9-month time span. Residents provided informed consent so that data could be collected. The percentage of burnout was calculated based on one indicator (high emotional exhaustion, high depersonalization, or low personal accomplishment using the Maslach Burnout Scale). Standardized assessment instruments were administered at the beginning (September) and the end of the program (May) to assess the impact of the intervention. Residents were in training at a medium-sized academic medical center. They came from urology, internal medicine, emergency medicine and neurology training programs. Eighteen female and 51 male residents participated. Results: Baseline rates of burnout were as follows: urology residents, 89%; internal medicine, 73%; neurology, 50%; emergency medicine, 22%. There was a significant decrease in perceived stress for the overall group following the intervention. Residents who significantly improved on mindfulness measures also showed significant improvement on resiliency, stress, and personal accomplishment scores. Residents who significantly lowered perceived stress also lowered emotional exhaustion, depersonalization, and increased resiliency and compassion satisfaction. Discussion: This study demonstrated that a resiliency enhancement program and data collection after IRB approval is feasible and effective during medical residency. Based on our analysis, mindfulness, and cognitive skills to reduce perceptions of stress seem to be critical components. Future research is necessary to identify elements of the program most relevant to specific residencies.

Published
2024
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25. Decolonizing climate agreements strengthens policy and research for all future generations

Author

Graeme Reed, Angele Alook, and Deborah McGregor

Subjects
Science
Abstract

Global climate policy has increasingly acknowledged the specific contributions of Indigenous Peoples. The outcome of COP 28, however, demonstrates that this acknowledgement has not shifted the conceptual foundations of dominant climate solutions, nor has it created space for Indigenous Peoples to effectively contribute. Drawing on our expertise as Indigenous scholars and practitioners, we offer four recommendations to shift climate policy and research away from these foundations towards reciprocal relationships with the natural world – strengthening it for future generations.

Published
2024
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26. Combinatorial and Algebraic Enumeration: a survey of the work of Ian P. Goulden and David M. Jackson

Author

Foley, Angèle M., Morales, Alejandro H., Rattan, Amarpreet, and Yeats, Karen

Subjects
Mathematics - Combinatorics, 05A05, 05A10, 05E05, 05A15, 05E10, 05E16, 81Q30
Abstract

In this survey we discuss some of the significant contributions of Ian Goulden and David Jackson in the areas of classical enumeration, symmetric functions, factorizations of permutations, and algebraic foundations of quantum field theory. Through their groundbreaking textbook, {\em Combinatorial Enumeration}, and their numerous research papers, both together and with their many students, they have had an influence in areas of bioinformatics, mathematical chemistry, algorithmic computer science, and theoretical physics. Here we review and set in context highlights of their 40 years of collaborative work., Comment: 22 pages, 2 figures

Published
2022

30. The role of PB1-F2 in adaptation of high pathogenicity avian influenza virus H7N7 in chickens

Author

Luise Hohensee, David Scheibner, Alexander Schäfer, Holly Shelton, Thomas C. Mettenleiter, Angele Breithaupt, Anca Dorhoi, Elsayed M. Abdelwhab, and Ulrike Blohm

Subjects
PB1-F2, H7N7, chicken, apoptosis, cellular immunity, virulence, Veterinary medicine, SF600-1100
Abstract

Abstract Avian influenza viruses (AIV) of the H7N7 subtype are enzootic in the wild bird reservoir in Europe, cause infections in poultry, and have sporadically infected humans. The non-structural protein PB1-F2 is encoded in a second open frame in the polymerase segment PB1 and its sequence varies with the host of origin. While mammalian isolates predominantly carry truncated forms, avian isolates typically express full-length PB1-F2. PB1-F2 is a virulence factor of influenza viruses in mammals. It modulates the host immune response, causing immunopathology and increases pro-inflammatory responses. The role of full-length PB1-F2 in IAV pathogenesis as well as its impact on virus adaptation and virulence in poultry remains enigmatic. Here, we characterised recombinant high pathogenicity AIV (HPAIV) H7N7 expressing or lacking PB1-F2 in vitro and in vivo in chickens. In vitro, full-length PB1-F2 modulated viability of infected chicken fibroblasts by limiting apoptosis. In chickens, PB1-F2 promoted gastrointestinal tropism, as demonstrated by enhanced viral replication in the gut and increased cloacal shedding. PB1-F2’s effects on cellular immunity however were marginal. Overall, chickens infected with full-length PB1-F2 virus survived for shorter periods, indicating that PB1-F2 is also a virulence factor in bird-adapted viruses.

Published
2024
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31. Reconstruction of smooth shape defects in waveguides using locally resonant frequencies

Author

Niclas, Angèle and Seppecher, Laurent

Subjects
Mathematical Physics, Mathematics - Numerical Analysis
Abstract

This article aims to present a new method to reconstruct slowly varying width defects in 2D waveguides using locally resonant frequencies. At these frequencies, locally resonant modes propagate in the waveguide under the form of Airy functions depending on a parameter called the locally resonant point. In this particular point, the local width of the waveguide is known and its location can be recovered from boundary measurements of the wavefield. Using the same process for different frequencies, we produce a good approximation of the width in all the waveguide. Given multi-frequency measurements taken at the surface of the waveguide, we provide a L \infty-stable explicit method to reconstruct the width of the waveguide. We finally validate our method on numerical data, and we discuss its applications and limits.

Published
2022
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32. Leaderless foot-and-mouth disease virus serotype O did not cause clinical disease and failed to establish a persistent infection in cattle

Author

Benedikt Litz, Julia Sehl-Ewert, Angele Breithaupt, Anja Landmesser, Florian Pfaff, Aurore Romey, Sandra Blaise-Boisseau, Martin Beer, and Michael Eschbaumer

Subjects
Foot-and-mouth disease virus, FMDV, persistence, carrier, leader proteinase, Infectious and parasitic diseases, RC109-216, Microbiology, QR1-502
Abstract

ABSTRACTThe foot-and-mouth disease virus (FMDV) Leader proteinase Lpro inhibits host mRNA translation and blocks the interferon response which promotes viral survival. Lpro is not required for viral replication in vitro but serotype A FMDV lacking Lpro has been shown to be attenuated in cattle and pigs. However, it is not known, whether leaderless viruses can cause persistent infection in vivo after simulated natural infection and whether the attenuated phenotype is the same in other serotypes. We have generated an FMDV O/FRA/1/2001 variant lacking most of the Lpro coding region (ΔLb). Cattle were inoculated intranasopharyngeally and observed for 35 days to determine if O FRA/1/2001 ΔLb is attenuated during the acute phase of infection and whether it can maintain a persistent infection in the upper respiratory tract. We found that although this leaderless virus can replicate in vitro in different cell lines, it is unable to establish an acute infection with vesicular lesions and viral shedding nor is it able to persistently infect bovine pharyngeal tissues.

Published
2024
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33. Rapid analysis of hydrogen cyanide in fresh cassava roots using NIRSand machine learning algorithms: Meeting end user demand for low cyanogenic cassava

Author

Michael Kanaabi, Fatumah B. Namakula, Ephraim Nuwamanya, Ismail S. Kayondo, Nicholas Muhumuza, Enoch Wembabazi, Paula Iragaba, Leah Nandudu, Ann Ritah Nanyonjo, Julius Baguma, Williams Esuma, Alfred Ozimati, Mukasa Settumba, Titus Alicai, Angele Ibanda, and Robert S. Kawuki

Subjects
Plant culture, SB1-1110, Genetics, QH426-470
Abstract

Abstract This study focuses on meeting end‐users’ demand for cassava (Manihot esculenta Crantz) varieties with low cyanogenic potential (hydrogen cyanide potential [HCN]) by using near‐infrared spectrometry (NIRS). This technology provides a fast, accurate, and reliable way to determine sample constituents with minimal sample preparation. The study aims to evaluate the effectiveness of machine learning (ML) algorithms such as logistic regression (LR), support vector machine (SVM), and partial least squares discriminant analysis (PLS‐DA) in distinguishing between low and high HCN accessions. Low HCN accessions averagely scored 1–5.9, while high HCN accessions scored 6–9 on a 1–9 categorical scale. The researchers used 1164 root samples to test different NIRS prediction models and six spectral pretreatments. The wavelengths 961, 1165, 1403–1505, 1913–1981, and 2491 nm were influential in discrimination of low and high HCN accessions. Using selected wavelengths, LR achieved 100% classification accuracy and PLS‐DA achieved 99% classification accuracy. Using the full spectrum, the best model for discriminating low and high HCN accessions was the PLS‐DA combined with standard normal variate with second derivative, which produced an accuracy of 99.6%. The SVM and LR had moderate classification accuracies of 75% and 74%, respectively. This study demonstrates that NIRS coupled with ML algorithms can be used to identify low and high HCN accessions, which can help cassava breeding programs to select for low HCN accessions.

Published
2024
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34. Mercado de vestuário litúrgico afro-brasileiro na Região Sul do Brasil: um comparativo entre três empresas

Author

ANGELE MAINE RHODEN, Fernanda Hänsch Beuren, ICLEIA SILVEIRA, and LUCAS DA ROSA

Subjects
Vestuário litúrgico, Afro-brasileiro, Comércio eletrônico, Mix de produto, Mix de marketing, Communication. Mass media, P87-96, Social sciences (General), H1-99
Abstract

O presente artigo teve como objetivo realizar uma análise comparativa entre três empresas dosegmento de vestuário litúrgico afro-brasileiro localizadas na Região Sul do Brasil por meio dasferramentasmixde produto emarketing. Para a presente pesquisa, aplicou-se o método indutivo,de finalidade aplicada, com análise de dados qualitativos e descritivos do ponto de vista. Entreos procedimentos técnicos, a elaboração da pesquisa bibliográfica deu-se mediante uma revi-são assistemática e realização de uma pesquisa de campoonlinepara identificação das amostrasintencionais analisadas neste estudo. O resultado obtido permitiu a elaboração de um quadrocomparativo das referidas empresas, seus pontos em comum e seus diferenciais mercadológicos.

Published
2024
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36. Antidiabetic activity of the aqueous extract of Erigeron floribundus leaves in streptozotocin-induced type 1 diabetes model in Wistar rats

Author

Boutou Masky, Hamadjida Adjia, David Miaffo, Bibi Farouck Aboubakar Oumarou, Harquin Simplice Foyet, Kakesse Maguirgue, Ernest Rodrigue Talla, Angele Kopodjing Bello, Christian Bonabé, and Fidèle Ntchapda

Subjects
Erigeron floribundus, Type 1 diabetes, Streptozotocin, Lipid profile, Oxidative status, Hepatorenal markers, Physiology, QP1-981, Biochemistry, QD415-436
Abstract

Backgroud: Erigeron floribundus is a herbaceous plant used in traditional Cameroonian medicine to treat diabetes mellitus. The aim of this study was to evaluate the antidiabetic properties of the aqueous extract of E. floribundus leaves (AEEF) in diabetic rats. Methods: Diabetes was induced by a single intraperitoneal injection of streptozotocin (60 mg/kg) in normal rats fasted for 16 h. Subsequently, 30 diabetic male rats were divided into groups and treated orally for 21 days with distilled water (10 mL/kg), glibenclamide (3 mg/kg) and AEEF (300, 400, and 500 mg/kg). Body weight, food and water intake, blood glucose, insulin levels, lipid and oxidative profiles, as well as some markers of liver and kidney function were assessed. Histological sections of the rats' pancreas were taken. Results: AEEF and glibenclamide significantly increased (p

Published
2024
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37. The Helmholtz problem in slowly varying waveguides at locally resonant frequencies

Author

Bonnetier, Eric, Niclas, Angèle, Seppecher, Laurent, and Vial, Grégory

Subjects
Mathematics - Analysis of PDEs, Mathematics - Numerical Analysis
Abstract

This article aims to present a general study of the Helmholtz problem in slowly varying waveguides. This work is of particular interest at locally resonant frequencies, where a phenomenon close to the tunnel effect for Schr\"odinger equation in quantum mechanics can be observed. In this situation, locally resonant modes propagate in the waveguide under the form of Airy functions. Using previous mathematical results on the Schr\"odinger equation, we prove the existence of a unique solution to the Helmholtz source problem with outgoing conditions in such waveguides. We provide an explicit modal approximation of this solution, as well as a control of the approximation error in H1loc. The main theorem is proved in the case of a waveguide with a monotonously varying profile and then generalized using a matching strategy. We finally validate the modal approximation by comparing it to numerical solutions based on the finite element method.

Published
2022

38. Small defects reconstruction in waveguides from multifrequency one-side scattering data

Author

Bonnetier, Eric, Niclas, Angèle, Seppecher, Laurent, and Vial, Grégory

Subjects
Mathematics - Numerical Analysis, Mathematical Physics
Abstract

Localization and reconstruction of small defects in acoustic or electromagnetic waveguides is of crucial interest in nondestructive evaluation of structures. The aim of this work is to present a new multi-frequency inversion method to reconstruct small defects in a 2D waveguide. Given one-side multi-frequency wave field measurements of propagating modes, we use a Born approximation to provide a L2-stable reconstruction of three types of defects: a local perturbation inside the waveguide, a bending of the waveguide, and a localized defect in the geometry of the waveguide. This method is based on a mode-by-mode spacial Fourier inversion from the available partial data in the Fourier domain. Indeed, in the available data, some high and low spatial frequency information on the defect are missing. We overcome this issue using both a compact support hypothesis and a minimal smoothness hypothesis on the defects. We also provide a suitable numerical method for efficient reconstruction of such defects and we discuss its applications and limits.

Published
2022
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39. Pathogenic variants of Valosin-containing protein induce lysosomal damage and transcriptional activation of autophagy regulators in neuronal cells.

Author

Ferrari, Veronica, Cristofani, Riccardo, Cicardi, Maria, Tedesco, Barbara, Crippa, Valeria, Chierichetti, Marta, Casarotto, Elena, Cozzi, Marta, Mina, Francesco, Galbiati, Mariarita, Piccolella, Margherita, Carra, Serena, Vaccari, Thomas, Nalbandian, Angele, Fortuna, Tyler, Pandey, Udai, Gagliani, Maria, Cortese, Katia, Rusmini, Paola, Poletti, Angelo, and Kimonis, Virginia

Subjects
ALS, PQC, TFE3, lysosome, neurodegeneration, p97, Adenosine Triphosphatases, Animals, Autophagy, Cell Cycle Proteins, Lysosomes, Motor Neurons, Transcriptional Activation, Valosin Containing Protein
Abstract

AIM: Mutations in the valosin-containing protein (VCP) gene cause various lethal proteinopathies that mainly include inclusion body myopathy with Pagets disease of bone and frontotemporal dementia (IBMPFD) and amyotrophic lateral sclerosis (ALS). Different pathological mechanisms have been proposed. Here, we define the impact of VCP mutants on lysosomes and how cellular homeostasis is restored by inducing autophagy in the presence of lysosomal damage. METHODS: By electron microscopy, we studied lysosomal morphology in VCP animal and motoneuronal models. With the use of western blotting, real-time quantitative polymerase chain reaction (RT-qPCR), immunofluorescence and filter trap assay, we evaluated the effect of selected VCP mutants in neuronal cells on lysosome size and activity, lysosomal membrane permeabilization and their impact on autophagy. RESULTS: We found that VCP mutants induce the formation of aberrant multilamellar organelles in VCP animal and cell models similar to those found in patients with VCP mutations or with lysosomal storage disorders. In neuronal cells, we found altered lysosomal activity characterised by membrane permeabilization with galectin-3 redistribution and activation of PPP3CB. This selectively activated the autophagy/lysosomal transcriptional regulator TFE3, but not TFEB, and enhanced both SQSTM1/p62 and lipidated MAP1LC3B levels inducing autophagy. Moreover, we found that wild type VCP, but not the mutants, counteracted lysosomal damage induced either by trehalose or by a mutant form of SOD1 (G93A), also blocking the formation of its insoluble intracellular aggregates. Thus, chronic activation of autophagy might fuel the formation of multilamellar bodies. CONCLUSION: Together, our findings provide insights into the pathogenesis of VCP-related diseases, by proposing a novel mechanism of multilamellar body formation induced by VCP mutants that involves lysosomal damage and induction of lysophagy.

Published
2022

41. Treatment recommendation based on SYNTAX score 2020 derived from coronary computed tomography angiography and invasive coronary angiography

Author

Masuda, Shinichiro, Serruys, Patrick W., Kageyama, Shigetaka, Kotoku, Nozomi, Ninomiya, Kai, Garg, Scot, Soo, Alan, Morel, Marie-Angele, Puskas, John D., Narula, Jagat, Schneider, Ulrich, Doenst, Torsten, Tanaka, Kaoru, de Mey, Johan, La Meir, Mark, Bartorelli, Antonio L., Mushtaq, Saima, Pompilio, Giulio, Andreini, Daniele, and Onuma, Yoshinobu

Published
2023
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43. Transplanting Trees: Chromatic Symmetric Function Results through the Group Algebra of $S_n$

Author

Foley, Angèle M., Kazdan, Joshua, Kröll, Larissa, Alberga, Sofía Martínez, Melnyk, Oleksii, and Tenenbaum, Alexander

Subjects
Mathematics - Combinatorics, 05E05
Abstract

One of the major outstanding conjectures in the study of chromatic symmetric functions (CSF's) states that trees are uniquely determined by their CSF's. Though verified on graphs of order up to twenty-nine, this result has been proved only for certain subclasses of trees. Using the definition of the CSF that emerges via the Frobenius character map applied to $\mathbb{C}[S_n]$, we offer new algebraic proofs of several results about the CSF's of trees. Additionally, we prove that a "parent function" of the CSF defined in the group ring of $S_n$ can uniquely determine trees, providing further support for Stanley's conjecture., Comment: 10 pages; small typos corrected

Published
2021

44. Thermodynamics of nonequilibrium driven diffusive systems in mild contact with boundary reservoirs

Author

Bouley, Angèle and Landim, Claudio

Subjects
Mathematics - Probability, Condensed Matter - Statistical Mechanics
Abstract

We consider macroscopic systems in weak contact with boundary reservoirs and under the action of external fields. We present an explicit formula for the Hamiltonian of such systems, from which we deduce the equation of motions, the action functional, the hydrodynamic equation for the adjoint dynamics, and a formula for the quasi-potential. We examine the case in which the external forcing depends on time and drives the system from one nonequilibrium state to another. We extend the results presented in [6] on thermodynamic transformations for systems in strong contact with boundary reservoirs to the present situation. In particular, we propose a natural definition of renormalized work, and show that it satisfies a Clausius inequality, and that quasi-static transformations minimize the renormalized work. In addition, we connect the renormalized work to the quasi-potential describing the fluctuations in the stationary nonequilibrium ensemble.

Published
2021
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45. Engineering Novel Amphiphilic Platinum(IV) Complexes to Co-Deliver Cisplatin and Doxorubicin

Author

Wjdan Jogadi, Man B. Kshetri, Suha Alqarni, Arpit Sharma, May Cheline, Md Al Amin, Cynthia Sheets, Angele Nsoure-Engohang, and Yao-Rong Zheng

Subjects
platinum(IV) prodrugs, cisplatin, doxorubicin, combination therapy, Organic chemistry, QD241-441
Abstract

In this study, we report a novel platinum–doxorubicin conjugate that demonstrates superior therapeutic indices to cisplatin, doxorubicin, or their combination, which are commonly used in cancer treatment. This new molecular structure (1) was formed by conjugating an amphiphilic Pt(IV) prodrug of cisplatin with doxorubicin. Due to its amphiphilic nature, the Pt(IV)–doxorubicin conjugate effectively penetrates cell membranes, delivering both cisplatin and doxorubicin payloads intracellularly. The intracellular accumulation of these payloads was assessed using graphite furnace atomic absorption spectrometry and fluorescence imaging. Since the therapeutic effects of cisplatin and doxorubicin stem from their ability to target nuclear DNA, we hypothesized that the amphiphilic Pt(IV)–doxorubicin conjugate (1) would effectively induce nuclear DNA damage toward killing cancer cells. To test this hypothesis, we used flow the cytometric analysis of phosphorylated H2AX (γH2AX), a biomarker of nuclear DNA damage. The Pt(IV)–doxorubicin conjugate (1) markedly induced γH2AX in treated MDA-MB-231 breast cancer cells, showing higher levels than cells treated with either cisplatin or doxorubicin alone. Furthermore, MTT cell viability assays revealed that the enhanced DNA-damaging capability of complex 1 resulted in superior cytotoxicity and selectivity against human cancer cells compared to cisplatin, doxorubicin, or their combination. Overall, the development of this amphiphilic Pt(IV)–doxorubicin conjugate represents a new form of combination therapy with improved therapeutic efficacy.

Published
2024
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46. Breathing Life Into Meta-Analytic Methods

Author

David Allbritton, Pablo Gómez, Bernhard Angele, Martin Vasilev, and Manuel Perea

Subjects
meta-analysis, app, bayesian statistics, meta-analysis updating, Consciousness. Cognition, BF309-499
Abstract

Meta-analyses have become indispensable in the behavioral sciences, combining and summarizing data from multiple studies. While they offer many advantages (e.g., increased power, higher generality, and resolving conflicting findings), they currently only provide a snapshot at a given point. In active research areas, frequent meta-analytic updates are necessary to incorporate new evidence. We propose guidelines for live, dynamic meta-analyses and introduce an accessible tool using the R environment. Our app, powered by the Shiny package, enables the meta-analyst to integrate evidence interactively as an update of an existing meta-analysis or from scratch (i.e., a new meta-analysis). By embracing dynamic meta-analyses and leveraging modern tools, researchers can ensure up-to-date meta-analyses in their respective fields.

Published
2024
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48. Immunomodulators for immunocompromised patients hospitalized for COVID-19: a meta-analysis of randomized controlled trialsResearch in context

Author

Ilias I. Siempos, Andre C. Kalil, Drifa Belhadi, Viviane Cordeiro Veiga, Alexandre Biasi Cavalcanti, Westyn Branch-Elliman, Eleni Papoutsi, Konstantinos Gkirgkiris, Nikoleta A. Xixi, Anastasia Kotanidou, Olivier Hermine, Raphaël Porcher, Xavier Mariette, Philippe Ravaud, Serge Bureau, Maxime Dougados, Matthieu Resche-Rigon, Pierre-Louis Tharaux, Annick Tibi, Elie Azoulay, Jacques Cadranel, Joseph Emmerich, Muriel Fartoukh, Bertrand Guidet, Marc Humbert, Karine Lacombe, Matthieu Mahevas, Frédéric Pene, Valerie Pourchet-Martinez, Frédéric Schlemmer, Yazdan Yazdanpanah, Gabriel Baron, Elodie Perrodeau, Damien Vanhoye, Cécile Kedzia, Lauren Demerville, Anne Gysembergh-Houal, Alexandre Bourgoin, Nabil Raked, Lakhdar Mameri, Claire Montlahuc, Lucie Biard, St.phanie Alary, Samir Hamiria, Thinhinane Bariz, Hala Semri, Dhiaa Meriem Hai, Moustafa Benafla, Mohamed Belloul, Pernelle Vauboin, Saskia Flamand, Claire Pacheco, Anouk Walter-Petrich, Emilia Stan, Souad Benarab, Corine Nyanou, Robin Charreteur, Céline Dupre, Kévin Cardet, Blandine Lehmann, Kamyl Baghli, Claire Madelaine, Eric D'Ortenzio, Oriane Puéchal, Caroline Semaille, Laurent Savale, Anatole Harrois, Samy Figueiredo, Jacques Duranteau, Nadia Anguel, Arthur Pavot, Xavier Monnet, Christian Richard, Jean-Louis Teboul, Philippe Durand, Pierre Tissieres, Mitja Jevnikar, David Montani, Stephan Pavy, Gaétane Nocturne, Samuel Bitoun, Nicolas Noel, Olivier Lambotte, Lelia Escaut, Stephane Jauréguiberry, Elodie Baudry, Christiane Verny, Edouard Lefevre, Mohamad Zaidan, Domitille Molinari, Gaël Leprun, Alain Fourreau, Laurent Cylly, Lamiae Grimaldi, Myriam Virlouvet, Ramdane Meftali, Soléne Fabre, Marion Licois, Asmaa Mamoune, Yacine Boudali, Clotilde Le Tiec, Céline Verstuyft, Anne-Marie Roques, Sophie Georgin-Lavialle, Patricia Senet, Gilles Pialoux, Angele Soria, Antoine Parrot, Helene François, Nathalie Rozensztajn, Emmanuelle Blin, Pascaline Choinier, Juliette Camuset, Jean-Simon Rech, Antony Canellas, Camille Rolland-Debord, Nadege Lemarié, Nicolas Belaube, Marine Nadal, Martin Siguier, Camille Petit-Hoang, Julie Chas, Elodie Drouet, Matthieu Lemoine, Audrey Phibel, Lucie Aunay, Eliane Bertrand, Sylviane Ravato, Marie Vayssettes, Anne Adda, Celine Wilpotte, Pélagie Thibaut, Julie Fillon, Isabelle Debrix, Soraya Fellahi, Jean-Philippe Bastard, Guillaume Lefévre, Jacques-Eric Gottenberg, Yves Hansmann, Frédéric Blanc, Sophie Ohlmann-Caillard, Vincent Castelain, Emmanuel Chatelus, Eva Chatron, Olivier Collange, François Danion, Frédéric De Blay, Pierre Diemunsch, Sophie Diemunsch, Renaud Felten, Bernard Goichot, Valentin Greigert, Aurelien Guffroy, Bob Heger, Charlotte Kaeuffer, Loic Kassegne, Anne Sophie Korganow, Pierrick Le Borgne, Nicolas Lefebvre, Paul-Michel Mertes, Eric Noll, Mathieu Oberlin, Vincent Poindron, Julien Pottecher, Yvon Ruch, François Weill, Nicolas Meyer, Emmanuel Andres, Eric Demonsant, Hakim Tayebi, Gabriel Nisand, Stéphane Brin, Cédric Sublon, Guillaume Becker, Anne Hutt, Tristan Martin, Sophie Bayer, Catherine Metzger, Arsene Mekinian, Noémie Abisror, Amir Adedjouma, Diane Bollens, Marion Bonneton, Nathalie Bourcicaux, Anne Bourrier, Maria Chauchard Thibault Chiarabiani, Doroth.e Chopin, Jonathan Cohen, Ines Devred, Bruno Donadille, Olivier Fain, Geoffrey Hariri, Vincent Jachiet, Patrick Ingliz, Marc Garnier, Marc Gatfosse, Etienne Ghrenassia, Delphine Gobert, Jessica Krause le Garrec, Cecilia Landman, Jean Remy Lavillegrand, Benedicte Lefebvre, Thibault Mahevas, Sandie Mazerand, Jean Luc Meynard, Marjolaine Morgand, Zineb Ouaz.ne, Jerome Pacanowski, S.bastien Riviere, Philippe Seksik, Harry Sokol, Heithem Soliman, Nadia Valin, Thomas Urbina, Chloé McAvoy, Maria Pereira Miranda, Gladys Aratus, Laurence Berard, Tabassome Simon, Anne Daguenel Nguyen, Elise Girault, Cl.mentine Mayala-Kanda, Marie Antignac, Céline Leplay, Jean-Benoit Arlet, Jean-Luc Diehl, Florence Bellenfant, Anne Blanchard, Alexandre Buffet, Bernard Cholley, Antoine Fayol, Edouard Flamarion, Anne Godier, Thomas Gorget, Sophie-Rym Hamada, Caroline Hauw-Berlemont, Jean-Sébastien Hulot, David Lebeaux, Marine Livrozet, Adrien Michon, Arthur Neuschwander, Marie-Aude Pennet, Benjamin Planquette, Brigitte Ranque, Olivier Sanchez, Geoffroy Volle, Sandrine Briois, Mathias Cornic, Virginie Elisee, Jesuthasan Denis, Juliette Djadi-Prat, Pauline Jouany, Ramon Junquera, Mickael Henriques, Amina Kebir, Isabelle Lehir, Jeanne Meunier, Florence Patin, Val.rie Paquet, Anne Tréhan, Véronique Vigna, Brigitte Sabatier, Damien Bergerot, Charléne Jouve, Camille Knosp, Olivia Lenoir, Nassim Mahtal, Léa Resmini, Xavier Lescure, Jade Ghosn, Antoine Bachelard, Anne Rachline, Valentina Isernia, Bao-chau, Phung, Dorothée Vallois, Aurelie Sautereau, Catherine Neukrich, Antoine Dossier, Raphaël Borie, Bruno Crestani, Gregory Ducrocq, Philippe Gabriel Steg, Philippe Dieude, Thomas Papo, Estelle Marcault, Marhaba Chaudhry, Charléne Da Silveira, Annabelle Metois, Ismahan Mahenni, Meriam Meziani, Cyndie Nilusmas, Sylvie Le Gac, Awa Ndiaye, Fran.oise Louni, Malikhone Chansombat, Zelie Julia, Solaya Chalal, Lynda Chalal, Laura Kramer, Jeniffer Le Grand, Kafif Ouifiya, Valentine Piquard, Sarah Tubiana, Yann Nguyen, Vasco Honsel, Emmanuel Weiss, Anais Codorniu, Virginie Zarrouk, Victoire de Lastours, Matthieu Uzzan, Naura Gamany, Agathe Claveirole, Alexandre Navid, Tiffanie Fouque, Yonathan Cohen, Maya Lupo, Constance Gilles, Roza Rahli, Zeina Louis, David Boutboul, Lionel Galicier, Yaël Amara, Gabrielle Archer, Amira Benattia, Anne Bergeron, Louise Bondeelle, Nathalie de Castro, Melissa Clément, Michaël Darmon, Blandine Denis, Clairelyne Dupin, Elsa Feredj, Delphine Feyeux, Adrien Joseph, Etienne Lenglin, Pierre Le Guen, Geoffroy Liégeon, Gwenaël Lorillon, Asma Mabrouki, Eric Mariotte, Grégoire Martin de Frémont, Adrien Mirouse, Jean-Michel Molina, Régis Peffault de Latour, Eric Oksenhendler, Julien Saussereau, Abdellatif Tazi, Jean-Jacques Tudesq, Lara Zafrani, Isabelle Brindele, Emmanuelle Bugnet, Karine Celli Lebras, Julien Chabert, Lamia Djaghout, Catherine Fauvaux, Anne Lise Jegu, Ewa Kozakiewicz, Martine Meunier, Marie-Thérèse Tremorin, Claire Davoine, Isabelle Madelaine, Sophie Caillat-Zucman, Constance Delaugerre, Florence Morin, Damien Sène, Ruxandra Burlacu, Benjamin Chousterman, Bruno Mégarbanne, Pascal Richette, Jean-Pierre Riveline, Aline Frazier, Eric Vicaut, Laure Berton, Tassadit Hadjam, Miguel Alejandro Vazquez-Ibarra, Clément Jourdaine, Olivia Tran, Véronique Jouis, Aude Jacob, Julie Smati, Stéphane Renaud, Claire Pernin, Lydia Suarez, Luca Semerano, Sébastien Abad, Ruben B. nainous, Nicolas Bonnet, Celine Comparon, Yves Cohen, Hugues Cordel, Robin Dhote, Nathalie Dournon, Boris Duchemann, Nathan Ebstein, Thomas Gille, Benedicte Giroux-Leprieur, Jeanne Goupil de Bouille, Hilario Nunes, Johanna Oziel, Dominique Roulot, Lucile Sese, ClaireTantet, Yurdagul Uzunhan, Coralie Bloch-Queyrat, Vincent Levy, Fadhila Messani, Mohammed Rahaoui, Myléne Petit, Sabrina Brahmi, Vanessa Rathoin, Marthe Rigal, Nathalie Costedoat-Chalumeau, Liem Binh Luong, Zakaria Ait Hamou, Sarah Benghanem, Philippe Blanche, Nicolas Carlier, Benjamin Chaigne, Remy Gauzit, Hassan Joumaa, Mathieu Jozwiak, Marie Lachétre, Hélène Lafoeste, Odie Launay, Paul Legendre, Jonathan Marey, Caroline Morbieu, Lola-Jade Palmieri, Tali-Anne Szwebel, Hendy Abdoul, Alexandra Bruneau, Audrey Beclin-Clabaux, Charly Larrieu, Pierre Montanari, Eric Dufour, Ada Clarke, Catherine Le Bourlout, Nathalie Marin, Nathalie Menage, Samira Saleh-Mghir, Mamadou Salif Cisse, Kahina Cheref, Corinne Guerin, Jérémie Zerbit, Marc Michel, Sébastien Gallien, Etienne Crickx, Benjamin Le Vavasseur, Emmanuelle Kempf, Karim Jaffal, William Vindrios, Julie Oniszczuk, Constance Guillaud, Pascal Lim, Elena Fois, Giovanna Melica, Marie Matignon, Maud Jalabert, Jean-Daniel Lelièvre, David Schmitz, Marion Bourhis, Sylia Belazouz, Laetitia Languille, Caroline Boucle, Nelly Cita, Agnés Didier, Fahem Froura, Katia Ledudal, Thiziri Sadaoui, Alaki Thiemele, Delphine Le Febvre De Bailly, Muriel Carvhalo Verlinde, Julien Mayaux, Patrice Cacoub, David Saadoun, Mathieu Vautier, Héléne Bugaut, Olivier Benveniste, Yves Allenbach, Gaëlle Leroux, Aude Rigolet, Perrine Guillaume-Jugnot, Fanny Domont, Anne Claire Desbois, Chloé Comarmond, Nicolas Champtiaux, Segolene Toquet, Amine Ghembaza, Matheus Vieira, Georgina Maalouf, Goncalo Boleto, Yasmina Ferfar, Jean-Christophe Corvol, C.line Louapre, Sara Sambin, Louise-Laure Mariani, Carine Karachi, Florence Tubach, Candice Estellat, Linda Gimeno, Karine Martin, Aicha Bah, Vixra Keo, Sabrine Ouamri, Yasmine Messaoudi, Nessima Yelles, Pierre Faye, Sebastien Cavelot, Cecile Larcheveque, Laurence Annonay, Jaouad Benhida, Aida Zahrate-Ghoul, Soumeya Hammal, Ridha Belilita, Fanny Charbonnier, Claire Aguilar, Fanny Alby-Laurent, Carole Burger, Clara Campos-Vega, Nathalie Chavarot, Benjamin Fournier, Claire Rouzaud, Damien Vimpére, Caroline Elie, Prissile Bakouboula, Laure Choupeaux, Sophie Granville, Elodie Issorat, Christine Broissand, Marie-Alexandra Alyanakian, Guillaume Geri, Nawal Derridj, Naima Sguiouar, Hakim Meddah, Mourad Djadel, Héléne Chambrin-Lauvray, Jean-Charles Duclos-vallée, Faouzi Saliba, Sophie-Caroline Sacleux, Ilias Kounis, Sonia Tamazirt, Eric Rudant, Jean-Marie Michot, Annabelle Stoclin, Emeline Colomba, Fanny Pommeret, Christophe Willekens, Rosa Da Silva, Valérie Dejean, Yasmina Mekid, Ines Ben-Mabrouk, Florence Netzer, Caroline Pradon, Laurence Drouard, Valérie Camara-Clayette, Alexandre Morel, Gilles Garcia, Abolfazl Mohebbi, Férial Berbour, Mélanie Dehais, Anne-Lise Pouliquen, Alison Klasen, Loren Soyez-Herkert, Jonathan London, Younes Keroumi, Emmanuelle Guillot, Guillaume Grailles, Younes El amine, Fanny Defrancq, Hanane Fodil, Chaouki Bouras, Dominique Dautel, Nicolas Gambier, Thierno Dieye, Boris Bienvenu, Victor Lancon, Laurence Lecomte, Kristina Beziriganyan, Belkacem Asselate, Laure Allanic, Elena Kiouris, Marie-Héléne Legros, Christine Lemagner, Pascal Martel, Vincent Provitolo, Félix Ackermann, Mathilde Le Marchand, Aurélie Chan Hew Wai, Dimitri Fremont, Elisabeth Coupez, Mireille Adda, Frédéric Duée, Lise Bernard, Antoine Gros, Estelle Henry, Claire Courtin, Anne Pattyn, Pierre-Grégoire Guinot, Marc Bardou, Agnes Maurer, Julie Jambon, Amélie Cransac, Corinne Pernot, Bruno Mourvillier, Eric Marquis, Philippe Benoit, Damien Roux, Coralie Gernez, Cécile Yelnik, Julien Poissy, Mandy Nizard, Fanette Denies, Helene Gros, Jean-Jacques Mourad, Emmanuelle Sacco, Sophie Renet, F. Ader, Y. Yazdanpanah, F. Mentre, N. Peiffer-Smadja, F.X. Lescure, J. Poissy, L. Bouadma, J.F. Timsit, B. Lina, F. Morfin-Sherpa, M. Bouscambert, A. Gaymard, G. Peytavin, L. Abel, J. Guedj, C. Andrejak, C. Burdet, C. Laouenan, D. Belhadi, A. Dupont, T. Alfaiate, B. Basli, A. Chair, S. Laribi, J. Level, M. Schneider, M.C. Tellier, A. Dechanet, D. Costagliola, B. Terrier, M. Ohana, S. Couffin-Cadiergues, H. Esperou, C. Delmas, J. Saillard, C. Fougerou, L. Moinot, L. Wittkop, C. Cagnot, S. Le Mestre, D. Lebrasseur-Longuet, V. Petrov-Sanchez, A. Diallo, N. Mercier, V. Icard, B. Leveau, S. Tubiana, B. Hamze, A. Gelley, M. Noret, E. D’Ortenzio, O. Puechal, C. Semaille, T. Welte, J.A. Paiva, M. Halanova, M.P. Kieny, E. Balssa, C. Birkle, S. Gibowski, E. Landry, A. Le Goff, L. Moachon, C. Moins, L. Wadouachi, C. Paul, A. Levier, D. Bougon, F. Djossou, L. Epelboin, J. Dellamonica, C.H. Marquette, C. Robert, S. Gibot, E. Senneville, V. Jean-Michel, Y. Zerbib, C. Chirouze, A. Boyer, C. Cazanave, D. Gruson, D. Malvy, P. Andreu, J.P. Quenot, N. Terzi, K. Faure, C. Chabartier, V. Le Moing, K. Klouche, T. Ferry, F, Valour, B. Gaborit, E. Canet, P. Le Turnier, D. Boutoille, F. Bani-Sadr, F. Benezit, M. Revest, C. Cameli, A. Caro, MJ Ngo Um Tegue, Y. Le Tulzo, B. Laviolle, F. Laine, G. Thiery, F. Meziani, Y. Hansmann, W. Oulehri, C. Tacquard, F. Vardon-Bounes, B. Riu-Poulenc, M. Murris-Espin, L. Bernard, D. Garot, O. Hinschberger, M. Martinot, C. Bruel, B. Pilmis, O. Bouchaud, P. Loubet, C. Roger, X. Monnet, S. Figueiredo, V. Godard, J.P. Mira, M. Lachatre, S. Kerneis, J. Aboab, N. Sayre, F. Crockett, D. Lebeaux, A. Buffet, J.L. Diehl, A. Fayol, J.S. Hulot, M. Livrozet, A Mekontso- Dessap, C. Ficko, F. Stefan, J. Le Pavec, J. Mayaux, H. Ait-Oufella, J.M. Molina, G. Pialoux, M. Fartoukh, J. Textoris, M. Brossard, A. Essat, E. Netzer, Y. Riault, M. Ghislain, L. Beniguel, M. Genin, L. Gouichiche, C. Betard, L. Belkhir, A. Altdorfer, V Fraipont Centro, S. Braz, JM Ferreira Ribeiro, R Roncon Alburqueque, M. Berna, M. Alexandre, B. Lamprecht, A. Egle, R. Greil, M. Joannidis, Thomas F. Patterson, Philip O. Ponce, Barbara S. Taylor, Jan E. Patterson, Jason E. Bowling, Heta Javeri, LuAnn Larson, Angela Hewlett, Aneesh K. Mehta, Nadine G. Rouphael, Youssef Saklawi, Nicholas Scanlon, Jessica J. Traenkner, Ronald P. Trible, Jr., Emmanuel B. Walter, Noel Ivey, Thomas L. Holland, Guillermo M. Ruiz-Palacios, Alfredo Ponce de León, Sandra Rajme, Lanny Hsieh, Alpesh N. Amin, Miki Watanabe, Helen S. Lee, Susan Kline, Joanne Billings, Brooke Noren, Hyun Kim, Tyler D. Bold, Victor Tapson, Jonathan Grein, Fayyaz Sutterwala, Nicole Iovine, Lars K. Beattie, Rebecca Murray Wakeman, Matthew Shaw, Mamta K. Jain, Satish Mocherla, Jessica Meisner, Amneris Luque, Daniel A. Sweeney, Constance A. Benson, Farhana Ali, Robert L. Atmar, Hana M. El Sahly, Jennifer Whitaker, Ann R. Falsey, Angela R. Branche, Cheryl Rozario, Justino Regalado Pineda, José Arturo Martinez-Orozco, David Chien Lye, Sean WX. Ong, Po Ying Chia, Barnaby E. Young, Uriel Sandkovsky, Mezgebe Berhe, Clinton Haley, Emma Dishner, Valeria D. Cantos, Colleen F. Kelley, Paulina A. Rebolledo Esteinou, Sheetal Kandiah, Sarah B. Doernberg, Pierre-Cedric B. Crouch, Hannah Jang, Anne F. Luetkemeyer, Jay Dwyer, Stuart H. Cohen, George R. Thompson, 3rd, Hien H. Nguyen, Robert W. Finberg, Jennifer P. Wang, Juan Perez-Velazquez, Mireya Wessolossky, Patrick E.H. Jackson, Taison D. Bell, Miranda J. West, Babafemi Taiwo, Karen Krueger, Johnny Perez, Triniece Pearson, Catharine I. Paules, Kathleen G. Julian, Danish Ahmad, Alexander G. Hajduczok, Henry Arguinchona, Christa Arguinchona, Nathaniel Erdmann, Paul Goepfert, Neera Ahuja, Maria G. Frank, David Wyles, Heather Young, Myoung-don Oh, Wan Beom Park, Chang Kyung Kang, Vincent Marconi, Abeer Moanna, Sushma Cribbs, Telisha Harrison, Eu Suk Kim, Jongtak Jung, Kyoung-Ho Song, Hong Bin Kim, Seow Yen Tan, Humaira Shafi, MF Jaime Chien, Raymond KC. Fong, Daniel D. Murray, Jens Lundgren, Henrik Nielsen, Tomas Jensen, Barry S. Zingman, Robert Grossberg, Paul F. Riska, Otto O. Yang, Jenny Ahn, Rubi Arias, Rekha R. Rapaka, Naomi Hauser, James D. Campbell, William R. Short, Pablo Tebas, Jillian T. Baron, Susan L.F. McLellan, Lucas S. Blanton, Justin B. Seashore, C. Buddy Creech, Todd W. Rice, Shannon Walker, Isaac P. Thomsen, Diego Lopez de Castilla, Jason W. Van Winkle, Francis X. Riedo, Surinder Kaur Pada, Alvin DY. Wang, Li Lin, Michelle Harkins, Gregory Mertz, Nestor Sosa, Louis Yi Ann Chai, Paul Anantharajah Tambyah, Sai Meng Tham, Sophia Archuleta, Gabriel Yan, David A. Lindholm, Ana Elizabeth Markelz, Katrin Mende, Richard Mularski, Elizabeth Hohmann, Mariam Torres-Soto, Nikolaus Jilg, Ryan C. Maves, Gregory C. Utz, Sarah L. George, Daniel F. Hoft, James D. Brien, Roger Paredes, Lourdes Mateu, Cora Loste, Princy Kumar, Sarah Thornton, Sharmila Mohanraj, Noreen A. Hynes, Lauren M. Sauer, Christopher J. Colombo, Christina Schofield, Rhonda E. Colombo, Susan E. Chambers, Richard M. Novak, Andrea Wendrow, Samir K. Gupta, Tida Lee, Tahaniyat Lalani, Mark Holodniy, Aarthi Chary, Nikhil Huprikar, Anuradha Ganesan, Norio Ohmagari, Ayako Mikami, D. Ashley Price, Christopher J.A. Duncan, Kerry Dierberg, Henry J. Neumann, Stephanie N. Taylor, Alisha Lacour, Najy Masri, Edwin Swiatlo, Kyle Widmer, James D. Neaton, Mary Bessesen, David S. Stephens, Timothy H. Burgess, Timothy M. Uyeki, Robert Walker, G. Lynn Marks, Anu Osinusi, Huyen Cao, Anabela Cardoso, Stephanie de Bono, Douglas E. Schlichting, Kevin K. Chung, Jennifer L. Ferreira, Michelle Green, Mat Makowski, Michael R. Wierzbicki, Tom M. Conrad, Jill Ann El-Khorazaty, Heather Hill, Tyler Bonnett, Nikki Gettinger, Theresa Engel, Teri Lewis, Jing Wang, John H. Beigel, Kay M. Tomashek, Varduhi Ghazaryan, Tatiana Beresnev, Seema Nayak, Lori E. Dodd, Walla Dempsey, Effie Nomicos, Marina Lee, Rhonda Pikaart-Tautges, Mohamed Elsafy, Robert Jurao, Hyung Koo, Michael Proschan, Tammy Yokum, Janice Arega, Ruth Florese, Jocelyn D. Voell, Richard Davey, Ruth C. Serrano, Zanthia Wiley, Varun K. Phadke, Paul A. Goepfert, Carlos A. Gomez, Theresa A. Sofarelli, Laura Certain, Hannah N. Imlay, Cameron R. Wolfe, Emily R. Ko, John J. Engemann, Nora Bautista Felix, Claire R. Wan, Sammy T. Elmor, Laurel R. Bristow, Michelle S. Harkins, Nicole M. Iovine, Marie-Carmelle Elie-Turenne, Victor F. Tapson, Pyoeng Gyun Choe, Richard A. Mularski, Kevin S. Rhie, Rezhan H. Hussein, Dilek Ince, Patricia L. Winokur, Jin Takasaki, Sho Saito, Kimberly McConnell, PharmD, David L. Wyles, Ellen Sarcone, Kevin A. Grimes, Katherine Perez, Charles Janak, Jennifer A. Whitaker, Paulina A. Rebolledo, John Gharbin, Allison A. Lambert, Diego F. Zea, Emma Bainbridge, David C. Hostler, Jordanna M. Hostler, Brian T. Shahan, Evelyn Ling, Minjoung Go, Fleesie A. Hubbard, Melony Chakrabarty, Maryrose Laguio-Vila, Edward E. Walsh, Faheem Guirgis, Vincent C. Marconi, Christian Madar, Scott A. Borgetti, Corri Levine, Joy Nock, Keith Candiotti, Julia Rozman, Fernando Dangond, Yann Hyvert, Andrea Seitzinger, Kaitlyn Cross, Stephanie Pettibone, Seema U. Nayak, and Gregory A. Deye

Subjects
Acute respiratory distress syndrome, Acute hypoxemic respiratory failure, Pneumonia, Critically ill, Cancer, Medicine (General), R5-920
Abstract

Summary: Background: Although immunomodulators have established benefit against the new coronavirus disease (COVID-19) in general, it is uncertain whether such agents improve outcomes without increasing the risk of secondary infections in the specific subgroup of previously immunocompromised patients. We assessed the effect of immunomodulators on outcomes of immunocompromised patients hospitalized for COVID-19. Methods: The protocol was prospectively registered with PROSPERO (CRD42022335397). MEDLINE, Cochrane Central Register of Controlled Trials and references of relevant articles were searched up to 01-06-2022. Authors of potentially eligible randomized controlled trials were contacted to provide data on immunocompromised patients randomized to immunomodulators vs control (i.e., placebo or standard-of-care). Findings: Eleven randomized controlled trials involving 397 immunocompromised patients hospitalized for COVID-19 were included. Ten trials had low risk of bias. There was no difference between immunocompromised patients randomized to immunomodulators vs control regarding mortality [30/182 (16.5%) vs 41/215 (19.1%); RR 0.93, 95% CI 0.61–1.41; p = 0.74], secondary infections (RR 1.00, 95% CI 0.64–1.58; p = 0.99) and change in World Health Organization ordinal scale from baseline to day 15 (weighed mean difference 0.27, 95% CI -0.09–0.63; p = 0.15). In subgroup analyses including only patients with hematologic malignancy, only trials with low risk of bias, only trials administering IL-6 inhibitors, or only trials administering immunosuppressants, there was no difference between comparators regarding mortality. Interpretation: Immunomodulators, compared to control, were not associated with harmful or beneficial outcomes, including mortality, secondary infections, and change in ordinal scale, when administered to immunocompromised patients hospitalized for COVID-19. Funding: Hellenic Foundation for Research and Innovation.

Published
2024
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50. A long road ahead. A German national survey study on awareness and willingness of surgeons towards the carbon footprint of modern surgical procedures

Author

Sven Jacob, Sophie Anne Schust, Martin Angele, Jens Werner, Markus Guba, and Nikolaus Börner

Subjects
Science (General), Q1-390, Social sciences (General), H1-99
Abstract

Background: Climate change may well be the “largest threat” to humankind. Changes to our climate system lead to a decrease in global health. The healthcare sector presents one of the largest carbon footprints across all industries. Since surgical departments have one of the largest carbon footprints within the healthcare sector, they represent an area with vast opportunities for improvement. To drive change, it is vital to create awareness of these issues and encourage engagement in changes among people working in the healthcare industry. Methods: We conducted an anonymous cross-sectional survey study to assess awareness among surgeons regarding the impact of healthcare systems on climate change. The questions were designed to investigate surgeons' willingness to accept and promote changes to reduce carbon footprints. Participants included surgical professionals of all ages and levels of expertise. Results: A total of 210 participants completed the survey in full and were included in the evaluation. Sixty percent emphasized a lack of information and the need for personal education. Over 90 % expressed concern for the environment and a strong desire to gain new insights. Provided that clinical performance remains the same, more than 70 % are willing to embrace carbon-friendly alternatives. In this context, all participants accepted the additional time required for training and initially increased personal efforts to achieve equal performance. Conclusion: Limited awareness and information about carbon footprints were observed in surgical departments in German hospitals. Nevertheless, the vast majority of surgeons across all age groups are more than willing to acquire new insights and adapt to changes in order to reduce energy consumption and carbon dioxide production.

Published
2024
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