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1,252 results on '"David, Victor A."'

1. An Axiomatic Study of the Evaluation of Enthymeme Decoding in Weighted Structured Argumentation

Author

Ben-Naim, Jonathan, David, Victor, and Hunter, Anthony

Subjects
Computer Science - Artificial Intelligence, Computer Science - Logic in Computer Science
Abstract

An argument can be seen as a pair consisting of a set of premises and a claim supported by them. Arguments used by humans are often enthymemes, i.e., some premises are implicit. To better understand, evaluate, and compare enthymemes, it is essential to decode them, i.e., to find the missing premisses. Many enthymeme decodings are possible. We need to distinguish between reasonable decodings and unreasonable ones. However, there is currently no research in the literature on "How to evaluate decodings?". To pave the way and achieve this goal, we introduce seven criteria related to decoding, based on different research areas. Then, we introduce the notion of criterion measure, the objective of which is to evaluate a decoding with regard to a certain criterion. Since such measures need to be validated, we introduce several desirable properties for them, called axioms. Another main contribution of the paper is the construction of certain criterion measures that are validated by our axioms. Such measures can be used to identify the best enthymemes decodings., Comment: 14 pages

Published
2024

2. Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentation

Author

Ben-Naim, Jonathan, David, Victor, and Hunter, Anthony

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

Argument mining is natural language processing technology aimed at identifying arguments in text. Furthermore, the approach is being developed to identify the premises and claims of those arguments, and to identify the relationships between arguments including support and attack relationships. In this paper, we assume that an argument map contains the premises and claims of arguments, and support and attack relationships between them, that have been identified by argument mining. So from a piece of text, we assume an argument map is obtained automatically by natural language processing. However, to understand and to automatically analyse that argument map, it would be desirable to instantiate that argument map with logical arguments. Once we have the logical representation of the arguments in an argument map, we can use automated reasoning to analyze the argumentation (e.g. check consistency of premises, check validity of claims, and check the labelling on each arc corresponds with thw logical arguments). We address this need by using classical logic for representing the explicit information in the text, and using default logic for representing the implicit information in the text. In order to investigate our proposal, we consider some specific options for instantiation., Comment: Research note

Published
2024

4. Training robust T1-weighted magnetic resonance imaging liver segmentation models using ensembles of datasets with different contrast protocols and liver disease etiologies

Author

Nihil Patel, Adrian Celaya, Mohamed Eltaher, Rachel Glenn, Kari Brewer Savannah, Kristy K. Brock, Jessica I. Sanchez, Tiffany L. Calderone, Darrel Cleere, Ahmed Elsaiey, Matthew Cagley, Nakul Gupta, David Victor, Laura Beretta, Eugene J. Koay, Tucker J. Netherton, and David T. Fuentes

Subjects
Liver segmentation, T1-weighted MRI, Deep learning, Robustness, Multi-dataset training, Liver model, Medicine, Science
Abstract

Abstract Image segmentation of the liver is an important step in treatment planning for liver cancer. However, manual segmentation at a large scale is not practical, leading to increasing reliance on deep learning models to automatically segment the liver. This manuscript develops a generalizable deep learning model to segment the liver on T1-weighted MR images. In particular, three distinct deep learning architectures (nnUNet, PocketNet, Swin UNETR) were considered using data gathered from six geographically different institutions. A total of 819 T1-weighted MR images were gathered from both public and internal sources. Our experiments compared each architecture’s testing performance when trained both intra-institutionally and inter-institutionally. Models trained using nnUNet and its PocketNet variant achieved mean Dice-Sorensen similarity coefficients>0.9 on both intra- and inter-institutional test set data. The performance of these models suggests that nnUNet and PocketNet liver segmentation models trained on a large and diverse collection of T1-weighted MR images would on average achieve good intra-institutional segmentation performance.

Published
2024
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5. Parameterisation of Reasoning on Temporal Markov Logic Networks

Author

David, Victor, Fournier-S'niehotta, Raphaël, and Travers, Nicolas

Subjects
Computer Science - Artificial Intelligence, Computer Science - Social and Information Networks
Abstract

We aim at improving reasoning on inconsistent and uncertain data. We focus on knowledge-graph data, extended with time intervals to specify their validity, as regularly found in historical sciences. We propose principles on semantics for efficient Maximum A-Posteriori inference on the new Temporal Markov Logic Networks (TMLN) which extend the Markov Logic Networks (MLN) by uncertain temporal facts and rules. We examine total and partial temporal (in)consistency relations between sets of temporal formulae. Then we propose a new Temporal Parametric Semantics, which may combine several sub-functions, allowing to use different assessment strategies. Finally, we expose the constraints that semantics must respect to satisfy our principles., Comment: 12 pages + refs (2 pages) + supplementary (proofs, 7 pages). Under review

Published
2022

7. A transdiagnostic group exercise intervention for mental health outpatients in Germany (ImPuls): results of a pragmatic, multisite, block-randomised, phase 3 controlled trial

Author

Wolf, Sebastian, Seiffer, Britta, Zeibig, Johanna-Marie, Frei, Anna Katharina, Studnitz, Thomas, Welkerling, Jana, Meinzinger, Edith, Bauer, Leonie Louisa, Baur, Julia, Rosenstiel, Stephanie, Fiedler, David Victor, Helmhold, Florian, Ray, Andreas, Herzog, Eva, Takano, Keisuke, Nakagawa, Tristan, Günak, Mia Maria, Kropp, Saskia, Peters, Stefan, Flagmeier, Anna Lena, Zwanzleitner, Lena, Sundmacher, Leonie, Ramos-Murguialday, Ander, Hautzinger, Martin, Sudeck, Gorden, and Ehring, Thomas

Published
2024
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10. Concept and study protocol of the process evaluation of a pragmatic randomized controlled trial to promote physical activity in outpatients with heterogeneous mental disorders—the ImPuls study

Author

Fiedler, David Victor, Rosenstiel, Stephanie, Zeibig, Johanna-Marie, Seiffer, Britta, Welkerling, Jana, Frei, Anna Katharina, Studnitz, Thomas, Baur, Julia, Helmhold, Florian, Ray, Andreas, Herzog, Eva, Takano, Keisuke, Nakagawa, Tristan, Kropp, Saskia, Franke, Sebastian, Peters, Stefan, Flagmeier, Anna Lena, Zwanzleitner, Lena, Sundmacher, Leonie, Ramos-Murguialday, Ander, Hautzinger, Martin, Ehring, Thomas, Sudeck, Gorden, and Wolf, Sebastian

Published
2023
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16. Forensic Animal DNA Analysis

Author

Menotti-Raymond, Marilyn A., primary, David, Victor A., additional, Kanthaswamy, Sree, additional, Projić, Petar, additional, Škaro, Vedrana, additional, Lauc, Gordan, additional, and Linacre, Adrian, additional

Published
2023
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18. Normal Serum Levels of Otolin-1 in Patients with Meniere Disease in Remission

Author

Anup Singh, Harsha Yadav, Hitesh Verma, Kapil Sikka, Ransi Ann Abraham, and David Victor Kumar Irugu

Subjects
Meniere disease, otolithic membrane, endolymph drainage, biomarkers, Medicine, Otorhinolaryngology, RF1-547
Abstract

Introduction Degenerative changes in the otolithic organs have been theorized to be caused by the mechanical obstruction to endolymphatic flow, possibly resulting in endolymphatic hydrops (ELH). Otolin-1 is an otoconial matrix protein that crosses the blood labyrinth barrier and has been found in the serum of healthy and diseased patients.

Published
2023
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23. Genetic Variants of APOL1 Are Major Determinants of Kidney Failure in People of African Ancestry With HIV

Author

Booth, John, Waters, Anele, Hand, James, Clarke, Chris, Murphy, Sarah, Murphy, Maurice, Campbell, Marion, Clarke, Amanda, Richardson, Celia, Knott, Alyson, Weir, Gemma, Cleig, Rebecca, Soviarova, Helena, Barbour, Lisa, Adams, Tanya, Kennard, Vicky, Trevitt, Vittorio, Jones, Rachael, Levy, Jeremy, Schoolmeester, Alexandra, Duro, Serah, Hilton, Rachel, Fox, Julie, Rabuya, May, Hamzah, Lisa, Jordan, Deborah, Solano, Teresa, Uzu, Hiromi, Williams, Karen, Lwanga, Julianne, Reid-Amoruso, Linda Ekaette, Gamlen, Hannah, Stocker, Robert J., Ryan, Fiona, Mahiouz, Karina, Cheetham, Tess, Williams, Claire, Nori, Achyuta, Thomas, Caroline, Venkateshwaran, Sivaraj, Doctor, Jessica, Berlanga, Andrea, Post, Frank, Santana-Suarez, Beatriz, McQueen, Leigh, Bhagwandin, Priya, Campbell, Lucy, Barbini, Bee, Wandolo, Emily, Appleby, Tim, Driver, Lois, Parr, Sophy, Deng, Hongbo, Barber, Julie, Crowe, Andrew, Taylor, Chris, Poulton, Mary, Boateng, Vida, Klein, Marie-Pierre, O'Brien, Caitlin, Ohene-Adomako, Samuel, Buckingham, Christian, Trotman, Daniel, Quinn, Killian, Flanagan, Kate, Sullivan, Verity, Middleditch, Holly, Samuel, Itty, Hamlyn, Elizabeth, McDonald, Candice, Canoso, Ana, Agbasi, Emeka, Liskova, Maria, Barber, Sarah, Samarawickrama, Amanda, Ottaway, Zoe, Norcross, Claire, Oliveira, Amelia, Bramham, Kate, Minton, Jane, Lamont, Gary, Cross, Ruby, Saiyad, Gaushiya, Ahmed, Shadia, Ashworth, Rebecca, Window, Nicola, Murira, J., Phyu, Khine, Ustianowski, Andrew, Lindergard, Gabriella, Shaw, Jonathan, Holland, Sarah, Fox, Claire, Flaherty, Jan, Bevan, Margaret-Anne, George, Valerie, Chadwick, David, Branch, Marie, Lambert, Pauline, Craggs, Adele, Pett, Sarah, Lukha, Hinal, Vora, Nina, Fiorino, Marzia, Nunez, Maria Muller, Sally, Deirdre, Burns, James E., Pool, Erica, Matthews, Rebecca, Price, David Ashley, Stothard, Tara, Patel, Bijal, McVittie, Ian, Kennedy, Ciara, Shwab, Uli, Payne, Brendan, Duncan, Sarah, Dixon, Jill, Schmid, Mathias, Evans, Adam, Duncan, Christopher, Hunter, Ewan, Taha, Yusri, Astill, Natasha, Winkler, Cheryl, Binns-Roemer, Elizabeth, David, Victor, Ainsworth, Jonathan, Vincent, Rachel, Kegg, Stephen, Saad, Chloe, Skinner, Sarah, Azzoug, Hocine, Russell, Judith, Moussaoui, Tarik, Mabonga, Emily, Ward, Donna, Francoise, J., Larbi, W., Mitchell, Sue, Manning, A., Russell, V., Burns, Fiona, Harber, Mark, Ngwu, Nnenna, Edwards, Jonathan, Hemat, Nargis, Fernandez, Tom, Ferro, Filippo, Ferreira, Jorge, Nightingale, Alice, Oakes-Monger, Tasha, Matila, Darwin, Nogueira, Pedro, Mutagwanya, Victoria, Cosgrove, Catherine, Isitt, Catherine Emily, Webb, Helen, Popoola, Joyce, Korley, Kate, Mencias, Mark, Ribeiro, Patricia, Ramkhelawn, Rajeshwar, Lara, Sandra Oliva, Sajijad, Sara, Winston, Alan, Shaw, Amber, Petersen, Claire, Ring, Kyle, Rosenvinge, Melanie, Moyo, Thembi, Odong, Faith, Gantert, Katherine, Ibe, Tina, Onyango, Denis, Sabin, Caroline, Hill, Teresa, Hung, Rachel K.Y., Booth, John W., Price, David A., Sabin, Caroline A., Winkler, Cheryl A., and Post, Frank A.

Published
2022
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27. Gemcitabine and Cisplatin as Neo-Adjuvant for Cholangiocarcinoma Patients Prior to Liver Transplantation: Case-Series

Author

Maen Abdelrahim, Hadeel Al-Rawi, Abdullah Esmail, Jiaqiong Xu, Godsfavour Umoru, Fahad Ibnshamsah, Ala Abudayyeh, David Victor, Ashish Saharia, Robert McMillan, Ebtesam Al Najjar, Doaa Bugazia, Maryam Al-Rawi, and Rafik M. Ghobrial

Subjects
hepatocellular carcinoma, gemcitabine, cisplatin, immunotherapy, liver transplantation, cholangiocarcinoma, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background: The management of cholangiocarcinoma is continually reviewed on a current evidence basis to develop practice guidelines and consensus statements. However, the standardized treatment guidelines are still unclear for cholangiocarcinoma patients who are listed for liver transplantation. We aimed to validate and evaluate the potential efficacy of chemotherapy combination of Gemcitabine and Cisplatin as a neo-adjuvant treatment for cholangiocarcinoma patients before liver transplantation. Methods: In this prospective case series, patients with locally advanced, unresectable, hilar, or intrahepatic cholangiocarcinoma with no evidence of extrahepatic disease or vascular involvement were treated with a combination of neoadjuvant gemcitabine and cisplatin with no radiation. All patients included received chemotherapy prior to being listed for liver transplantation at a single cancer center according to an open-labeled, and center-approved clinical management protocol. The primary endpoints were the overall survival and recurrence-free survival after liver transplantation. Results: Between 1 March 2016, and 15 March 2022, 10 patients (8 males and 2 females) with a median age of 62.71(interquartile range: 60.02–71.87) had a confirmed diagnosis of intrahepatic or hilar cholangiocarcinoma and underwent liver transplantation. Median days of neoadjuvant therapy for a given combination of gemcitabine and cisplatin were 181 (IRQ: 120–250). Nine patients (90%) were reported with no recurrence or metastasis, and only 1 patient had confirmed metastasis (10%); days for metastasis after transplantation were 612 for this patient. All patients received a combination of gemcitabine and cisplatin as neo-adjuvant while awaiting liver transplantation. The median days of follow-up were 851 (813–967). Overall survival was 100% (95% CI 100–100%) at both years one and two; 75% (95% CI 13–96%) at years three to five. One patient died at eight hundred and eighty-five days. No adverse events were reported after liver transplantation including the patient who was confirmed with recurrence. Conclusions: Our finding demonstrated that neo-adjuvant gemcitabine and cisplatin with no radiation prior to liver transplantation resulted in excellent outcomes for patients with cholangiocarcinoma.

Published
2022
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28. Sickle Cell Trait and Kidney Disease in People of African Ancestry With HIV

Author

Booth, John, Waters, Anele, Hand, James, Clarke, Chris, Murphy, Sarah, Murphy, Maurice, Campbell, Marion, Clarke, Amanda, Richardson, Celia, Knott, Alyson, Weir, Gemma, Cleig, Rebecca, Soviarova, Helena, Barbour, Lisa, Adams, Tanya, Kennard, Vicky, Trevitt, Vittorio, Jones, Rachael, Levy, Jeremy, Schoolmeester, Alexandra, Duro, Serah, Hilton, Rachel, Fox, Julie, Rabuya, May, Hamzah, Lisa, Jordan, Deborah, Solano, Teresa, Uzu, Hiromi, Williams, Karen, Lwanga, Julianne, Reid-Amoruso, Linda Ekaette, Gamlen, Hannah, Stocker, Robert J., Ryan, Fiona, Mahiouz, Karina, Cheetham, Tess, Williams, Claire, Nori, Achyuta, Thomas, Caroline, Venkateshwaran, Sivaraj, Doctor, Jessica, Berlanga, Andrea, Post, Frank, Santana-Suarez, Beatriz, McQueen, Leigh, Bhagwandin, Priya, Campbell, Lucy, Barbini, Bee, Wandolo, Emily, Appleby, Tim, Driver, Lois, Parr, Sophy, Deng, Hongbo, Barber, Julie, Crowe, Andrew, Taylor, Chris, Poulton, Mary, Boateng, Vida, Klein, Marie-Pierre, O’Brien, Caitlin, Ohene-Adomako, Samuel, Buckingham, Christian, Trotman, Daniel, Quinn, Killian, Flanagan, Kate, Sullivan, Verity, Middleditch, Holly, Samuel, Itty, Hamlyn, Elizabeth, McDonald, Candice, Canoso, Ana, Agbasi, Emeka, Liskova, Maria, Barber, Sarah, Samarawickrama, Amanda, Ottaway, Zoe, Norcross, Claire, Oliveira, Amelia, Bramham, Kate, Minton, Jane, Lamont, Gary, Cross, Ruby, Saiyad, Gaushiya, Ahmed, Shadia, Ashworth, Rebecca, Window, Nicola, Murira, J., Phyu, Khine, Ustianowski, Andrew, Lindergard, Gabriella, Shaw, Jonathan, Holland, Sarah, Fox, Claire, Flaherty, Jan, Bevan, Margaret-Anne, George, Valerie, Chadwick, David, Branch, Marie, Lambert, Pauline, Craggs, Adele, Pett, Sarah, Lukha, Hinal, Vora, Nina, Fiorino, Marzia, Nunez, Maria Muller, Sally, Deirdre, Burns, James E., Pool, Erica, Matthews, Rebecca, Price, David Ashley, Stothard, Tara, Patel, Bijal, McVittie, Ian, Kennedy, Ciara, Shwab, Uli, Payne, Brendan, Duncan, Sarah, Dixon, Jill, Schmid, Mathias, Evans, Adam, Duncan, Christopher, Hunter, Ewan, Taha, Yusri, Astill, Natasha, Winkler, Cheryl, Binns-Roemer, Elizabeth, David, Victor, Ainsworth, Jonathan, Vincent, Rachel, Kegg, Stephen, Saad, Chloe, Skinner, Sarah, Azzoug, Hocine, Russell, Judith, Moussaoui, Tarik, Mabonga, Emily, Ward, Donna, Francoise, J., Larbi, W., Mitchell, Sue, Manning, A., Russell, V., Burns, Fiona, Harber, Mark, Ngwu, Nnenna, Edwards, Jonathan, Hemat, Nargis, Fernandez, Tom, Ferro, Filippo, Ferreira, Jorge, Nightingale, Alice, Oakes-Monger, Tasha, Matila, Darwin, Nogueira, Pedro, Mutagwanya, Victoria, Cosgrove, Catherine, Isitt, Catherine Emily, Webb, Helen, Popoola, Joyce, Korley, Kate, Mencias, Mark, Ribeiro, Patricia, Ramkhelawn, Rajeshwar, Lara, Sandra Oliva, Sajijad, Sara, Winston, Alan, Shaw, Amber, Petersen, Claire, Ring, Kyle, Rosenvinge, Melanie, Moyo, Thembi, Odong, Faith, Gantert, Katherine, Ibe, Tina, Onyango, Denis, Sabin, Caroline, Hill, Teresa, Hung, Rachel K.Y., Booth, John W., Price, David A., Sharpe, Claire C., Sabin, Caroline A., Winkler, Cheryl A., and Post, Frank A.

Published
2022
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34. Similarity Measures Based on Compiled Arguments

Author

Amgoud, Leila, David, Victor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Vejnarová, Jiřina, editor, and Wilson, Nic, editor

Published
2021
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35. Nasal Physiology and Sinusitis

Author

Davraj, K., Yadav, Mayank, Chappity, Preetam, Sharma, Prity, Grover, Mohnish, Sharma, Shitanshu, Kataria, Tanmaya, Bhawna, Kranti, Pendakur, Anand, Singh, Gurbax, Irugu, David Victor Kumar, Singh, Anoop, Gupta, Nitin, Verma, Hitesh, editor, and Thakar, Alok, editor

Published
2021
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39. Efficacy and cost-effectiveness of a Transdiagnostic group-based exercise intervention: study protocol for a pragmatic multi-site randomized controlled trial

Author

Sebastian Wolf, Britta Seiffer, Johanna-Marie Zeibig, Jana Welkerling, Leonie Louisa Bauer, Anna Katharina Frei, Thomas Studnitz, Stephanie Rosenstiel, David Victor Fiedler, Florian Helmhold, Andreas Ray, Eva Herzog, Keisuke Takano, Tristan Nakagawa, Saskia Kropp, Sebastian Franke, Stefan Peters, Nadja El-Kurd, Lena Zwanzleitner, Leonie Sundmacher, Ander Ramos-Murguialday, Martin Hautzinger, Gorden Sudeck, and Thomas Ehring

Subjects
Exercise, Exercise therapy, Health economics, Outpatient care, Mental health, Mental disorders, Psychiatry, RC435-571
Abstract

Abstract Background Mental disorders are prevalent and cause considerable burden of disease. Exercise has been shown to be efficacious to treat major depressive disorders, insomnia, panic disorder with and without agoraphobia and post traumatic stress disorder (PTSD). Methods This pragmatic, two arm, multi-site randomised controlled trial will evaluate the efficacy and cost-effectiveness of the manualized, group-based six-months exercise intervention “ImPuls”, among physically inactive patients with major depressive disorders, insomnia, panic disorder, agoraphobia and PTSD within a naturalistic outpatient context in Germany. A minimum of 375 eligible outpatients from 10 different study sites will be block-randomized to either ImPuls in addition to treatment as usual (TAU) or TAU only. ImPuls will be conducted by trained exercise therapists and delivered in groups of six patients. The program will combine (a) moderate to vigorous aerobic exercise carried out two-three times a week for at least 30 min with (b) behavior change techniques for sustained exercise behavior change. All outcomes will be assessed pre-treatment, post-treatment (six months after randomization) and at follow-up (12 months after randomization). Primary outcome will be self-reported global symptom severity assessed with the Brief Symptom Inventory (BSI-18). Secondary outcomes will be accelerometry-based moderate to vigorous physical activity, self-reported exercise, disorder-specific symptoms, quality-adjusted life years (QALY) and healthcare costs. Intention-to-treat analyses will be conducted using mixed models. Cost-effectiveness and cost-utility analysis will be conducted using incremental cost-effectiveness and cost-utility ratios. Discussion Despite its promising therapeutic effects, exercise programs are currently not provided within the outpatient mental health care system in Germany. This trial will inform service providers and policy makers about the efficacy and cost-effectiveness of the group-based exercise intervention ImPuls within a naturalistic outpatient health care setting. Group-based exercise interventions might provide an option to close the treatment gap within outpatient mental health care settings. Trial registration The study was registered in the German Clinical Trials Register (ID: DRKS00024152 , 05/02/2021).

Published
2021
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