13,877 results on '"Burda A"'
Search Results
2. Universality of Top Rank Statistics for Brownian Reshuffling
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Burda, Zdzislaw and Kieburg, Mario
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Condensed Matter - Statistical Mechanics - Abstract
We study the dynamical aspects of the top rank statistics of particles, performing Brownian motions on a half-line, which are ranked by their distance from the origin. For this purpose, we introduce an observable that we call the overlap ratio $\Omega(t)$, whose average is the probability that a particle that is on the top-$n$ list at some time will also be on the top-$n$ list after time $t$. The overlap ratio is a local observable which is concentrated at the top of the ranking and does not require the full ranking of all particles. It is simple to measure in practice. We derive an analytical formula for the average overlap ratio for a system of $N$ particles in the stationary state that undergo independent Brownian motion on the positive real half-axis with a reflecting wall at the origin and a drift towards the wall. In particular, we show that for $N\rightarrow \infty$, the overlap ratio takes a rather simple form $\langle \Omega(t)\rangle = {\rm erfc}(a \sqrt{t})$ for $n\gg 1$ with some scaling parameter $a>0$. This result is a very good approximation even for moderate sizes of the top-$n$ list such as $n=10$. Moreover, as we show, the overlap ratio exhibits universal behavior observed in many dynamical systems including geometric Brownian motion, Brownian motion with a position-dependent drift and a soft barrier on one side, the Bouchaud-M\'ezard wealth distribution model, and Kesten processes., Comment: 23 pages, 8 figures
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- 2024
3. Yang-Lee zeros for real-space condensation
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Burda, Zdzislaw, Johnston, Desmond A., and Kieburg, Mario
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Condensed Matter - Statistical Mechanics ,Mathematical Physics - Abstract
Using the electrostatic analogy, we derive an exact formula for the limiting Yang-Lee zero distribution in the random allocation model of general weights. This exhibits a real-space condensation phase transition, which is induced by a pressure change. The exact solution allows one to read off the scaling of the density of zeros at the critical point and the angle at which locus of zeros hits the critical point. Since the order of the phase transition and critical exponents can be tuned with a single parameter for several families of weights, the model provides a useful testing ground for verifying various relations between the distribution of zeros and the critical behavior, as well as for exploring the behavior of physical quantities in the mesoscopic regime, i.e., systems of large but finite size. The main result is that asymptotically the Yang-Lee zeros are images of a conformal mapping, given by the generating function for the weights, of uniformly distributed complex phases.
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- 2024
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4. Ukrainian-to-English folktale corpus: Parallel corpus creation and augmentation for machine translation in low-resource languages
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Burda-Lassen, Olena
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
Folktales are linguistically very rich and culturally significant in understanding the source language. Historically, only human translation has been used for translating folklore. Therefore, the number of translated texts is very sparse, which limits access to knowledge about cultural traditions and customs. We have created a new Ukrainian-To-English parallel corpus of familiar Ukrainian folktales based on available English translations and suggested several new ones. We offer a combined domain-specific approach to building and augmenting this corpus, considering the nature of the domain and differences in the purpose of human versus machine translation. Our corpus is word and sentence-aligned, allowing for the best curation of meaning, specifically tailored for use as training data for machine translation models.
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- 2024
5. Prover-Verifier Games improve legibility of LLM outputs
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Kirchner, Jan Hendrik, Chen, Yining, Edwards, Harri, Leike, Jan, McAleese, Nat, and Burda, Yuri
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Computer Science - Computation and Language - Abstract
One way to increase confidence in the outputs of Large Language Models (LLMs) is to support them with reasoning that is clear and easy to check -- a property we call legibility. We study legibility in the context of solving grade-school math problems and show that optimizing chain-of-thought solutions only for answer correctness can make them less legible. To mitigate the loss in legibility, we propose a training algorithm inspired by Prover-Verifier Game from Anil et al. (2021). Our algorithm iteratively trains small verifiers to predict solution correctness, "helpful" provers to produce correct solutions that the verifier accepts, and "sneaky" provers to produce incorrect solutions that fool the verifier. We find that the helpful prover's accuracy and the verifier's robustness to adversarial attacks increase over the course of training. Furthermore, we show that legibility training transfers to time-constrained humans tasked with verifying solution correctness. Over course of LLM training human accuracy increases when checking the helpful prover's solutions, and decreases when checking the sneaky prover's solutions. Hence, training for checkability by small verifiers is a plausible technique for increasing output legibility. Our results suggest legibility training against small verifiers as a practical avenue for increasing legibility of large LLMs to humans, and thus could help with alignment of superhuman models.
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- 2024
6. Autoradiography of Intracerebral Tumours in the Chick Embryo Model: A Feasibility Study Using Different PET Tracers
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Krause, Sandra, Florea, Alexandru, Choi, Chang-Hoon, Worthoff, Wieland A., Heinzel, Alexander, Fischer, Saskia, Burda, Nicole, Neumaier, Bernd, Shah, N. Jon, Lohmann, Philipp, Mottaghy, Felix M., Langen, Karl-Josef, and Stegmayr, Carina
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- 2025
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7. Analytical Solution for Darcy Flow in a Bounded Fracture-Matrix Domain
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Březina, Jan and Burda, Pavel
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- 2024
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8. How Culturally Aware are Vision-Language Models?
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Burda-Lassen, Olena, Chadha, Aman, Goswami, Shashank, and Jain, Vinija
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence ,Computer Science - Computation and Language ,Computer Science - Machine Learning - Abstract
An image is often said to be worth a thousand words, and certain images can tell rich and insightful stories. Can these stories be told via image captioning? Images from folklore genres, such as mythology, folk dance, cultural signs, and symbols, are vital to every culture. Our research compares the performance of four popular vision-language models (GPT-4V, Gemini Pro Vision, LLaVA, and OpenFlamingo) in identifying culturally specific information in such images and creating accurate and culturally sensitive image captions. We also propose a new evaluation metric, Cultural Awareness Score (CAS), dedicated to measuring the degree of cultural awareness in image captions. We provide a dataset MOSAIC-1.5k, labeled with ground truth for images containing cultural background and context, as well as a labeled dataset with assigned Cultural Awareness Scores that can be used with unseen data. Creating culturally appropriate image captions is valuable for scientific research and can be beneficial for many practical applications. We envision that our work will promote a deeper integration of cultural sensitivity in AI applications worldwide. By making the dataset and Cultural Awareness Score available to the public, we aim to facilitate further research in this area, encouraging the development of more culturally aware AI systems that respect and celebrate global diversity.
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- 2024
9. Partition function zeros of zeta-urns
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Bialas, P., Burda, Z., and Johnston, D. A.
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Condensed Matter - Statistical Mechanics ,Mathematical Physics - Abstract
We discuss the distribution of partition function zeros for the grand-canonical ensemble of the zeta-urn model, where tuning a single parameter can give a first or any higher order condensation transition. We compute the locus of zeros for finite-size systems and test scaling relations describing the accumulation of zeros near the critical point against theoretical predictions for both the first and higher order transition regimes., Comment: 11 pages, 6 figures
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- 2023
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10. Cytotoxic effects and comparative analysis of Ni ion uptake by osteoarthritic and physiological osteoblasts
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Navratilova, Polina, Vejvodova, Marketa, Vaculovic, Tomas, Slaninova, Iva, Emmer, Jan, Tomas, Tomas, Ryba, Ludek, Burda, Jan, and Pavkova Goldbergova, Monika
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- 2024
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11. A GPS assisted translocation experiment to study the homing behavior of red deer
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Silovský, Václav, Landler, Lukas, Faltusová, Monika, Börger, Luca, Burda, Hynek, Holton, Mark, Lagner, Ondřej, Malkemper, Erich Pascal, Olejarz, Astrid, Spießberger, Magdalena, Váchal, Adam, and Ježek, Miloš
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- 2024
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12. Adaptation
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Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, and Burda, Jan, Illustrations by
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- 2024
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13. Zwei Epiloge
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Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, and Burda, Jan, Illustrations by
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- 2024
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14. Vielfalt
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Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, and Burda, Jan, Illustrations by
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- 2024
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15. Evolutionäre Neuheiten
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Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, and Burda, Jan, Illustrations by
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- 2024
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16. Evolution
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Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, and Burda, Jan, Illustrations by
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- 2024
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17. Selektion, Strategien und Zufall
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Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, and Burda, Jan, Illustrations by
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- 2024
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18. Phylogenese
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Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, Zrzavý, Jan, Burda, Hynek, Storch, David, Begall, Sabine, Mihulka, Stanislav, and Burda, Jan, Illustrations by
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- 2024
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19. Mathematical Representation of Peterson’s Rules for Fuzzy Peterson’s Syllogisms
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Murinová, Petra, Burda, Michal, and Pavliska, Viktor
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- 2024
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20. Combination therapies with ponatinib and asciminib in a preclinical model of chronic myeloid leukemia blast crisis with compound mutations
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Curik, Nikola, Laznicka, Adam, Polivkova, Vaclava, Krizkova, Jitka, Pokorna, Eva, Semerak, Pavel, Suchankova, Pavla, Burda, Pavel, Hochhaus, Andreas, and Machova Polakova, Katerina
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- 2024
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21. R\'enyi Entropy of Zeta-Urns
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Bialas, Piotr, Burda, Zdzislaw, and Johnston, Desmond A.
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Condensed Matter - Statistical Mechanics ,Mathematical Physics - Abstract
We calculate analytically the Renyi entropy for the zeta-urn model with a Gibbs measure definition of the micro-state probabilities. This allows us to obtain the singularities in the R\'enyi entropy from those of the thermodynamic potential, which is directly related to the free energy density of the model. We enumerate the various possible behaviours of the R\'enyi entropy and its singularities, which depend on both the value of the power law in the zeta-urn and the order of the R\'enyi entropy under consideration, Comment: Figures adjusted for clarity, some technical details moved to an appendix. Accepted for publication in Phys. Rev. E
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- 2023
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22. On Random Allocation Models in the Thermodynamic Limit
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Bialas, Piotr, Burda, Zdzislaw, and Johnston, Desmond A.
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Condensed Matter - Statistical Mechanics ,Mathematical Physics - Abstract
We discuss the phase transition and critical exponents in the random allocation model (urn model) for different statistical ensembles. We provide a unified presentation of the statistical properties of the model in the thermodynamic limit, uncover new relationships between the thermodynamic potentials and fill some lacunae in previous results on the singularities of these potentials at the critical point and behaviour in the thermodynamic limit. The presentation is intended to be self-contained, so we carefully derive all formulae step by step throughout. Additionally, we comment on a quasi-probabilistic normalisation of configuration weights which has been considered in some recent studies, Comment: Various technical calculations have been moved to appendices, the introduction has been rewritten and some figures have been adjusted for clarity. Accepted for publication in Phys. Rev. E
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- 2023
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23. Spatial ratios of native and alien species of vascular plants in forests in the southwest of Kyiv and the adjacent areas
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Koniakin S.M., Burda R.I., and Budzhak V.V.
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kyiv urban area ,locality ,species abundance ,species diversity ,species frequency ,Botany ,QK1-989 - Abstract
Using the case of isolated oak-hornbeam forests in the green zone of the Kyiv Urban Area, spatial ratios of native and alien species of vascular plants were determined. The sampling method used by Whittaker (1980) made it possible to discover the following: the abundance of 134 species per 60 m2 in 12 localities varied from 880 to 1 individual/m2 with an average of 106.5 individuals/m2. The total species abundance of alien species ranged from 423 to 1 individual/m2. The highest total abundance values were observed in Adoxa moschatelliana – 880, Impatiens parviflora – 423, Galium odoratum – 371, Rabelera holostea – 367, and Prunus avium – 254 individuals/m2. At five spatial levels in 12 localities, 230 species from 142 genera and 58 families of vascular plants were found, including 48 alien species from 38 genera and 23 families. High species occurrence along with aboriginal forest species (Adoxa moschatelliana in 12 localities, Acer platanoides, Carpinus betulus, Galium odoratum, Prunus avium, Tilia cordata, Viola odorata in 10 localities) is characteristic only of Impatiens parviflora – 12 localities and Acer negundo – 10 localities. In general, the spatial ratios of native and alien species confirm the trends of recreational digression of hornbeam-oak forests in the green zone of the Kyiv Urban Area.
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- 2024
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24. Time in Therapeutic Range of Unfractionated Heparin-Based Therapy in Critically Ill Patients with COVID-19 Pneumonia
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Romanová T, Burša F, Sklienka P, Sagan J, Vaňková M, Buršík D, Bílená M, Pulcer M, Burda M, and Máca J
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unfractionated heparin ,covid-19 ,pneumonia ,critical care ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Tereza Romanová,1,2 Filip Burša,1,2 Peter Sklienka,1,2 Jiří Sagan,3 Michelle Vaňková,1 Denis Buršík,1,2 Markéta Bílená,1,2 Martin Pulcer,4 Michal Burda,5 Jan Máca1,2,6 1Department of Anesthesiology and Intensive Care Medicine, University Hospital, Ostrava, Czech Republic; 2Department of Intensive Medicine, Emergency Medicine and Forensic Studies, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic; 3Department of Infectious Diseases, University Hospital Ostrava, Ostrava, Czech Republic; 4Institute of Laboratory Medicine, University Hospital Ostrava, Ostrava, Czech Republic; 5Institute for Research and Applications of Fuzzy Modeling, CE IT4Innovations, University of Ostrava, Ostrava, Czech Republic; 6Institute of Physiology and Pathophysiology, Faculty of Medicine, University of Ostrava, Ostrava, Czech RepublicCorrespondence: Jan Máca, Department of Anesthesiology and Intensive Care Medicine, University Hospital Ostrava, 17. listopadu 1790/5, Ostrava, 708 52, Czech Republic, Tel +420597371111, Email jan.maca@fno.czPurpose: Anticoagulation therapy aims to improve the outcome of critically ill patients with severe COVID-19-associated pneumonia. Activated partial thromboplastin time (aPTT) is commonly used to maintain the target therapeutic range of continuous infusion of unfractionated heparin (UFH). The UFH infusion efficacy can be evaluated by determining the time in therapeutic range (TTR) using a modified Rosendaal method. The present study’s primary aim was to evaluate TTR based on the aPTT in critically ill patients with severe forms of COVID-19 pneumonia and its influence on survival. The secondary aim was to evaluate the time spent above (TATR) and below the therapeutic range (TBTR).Patients and Methods: We performed a retrospective analysis of critically ill patients with COVID-19-associated pneumonia. All patients received a continuous infusion of UFH from the 2nd to 8th day since admission to the ICU. TTR, TATR, and TBTR were calculated using the modified Rosendaal method, and survival days were analyzed by regression (censored after 60 days).Results: Of 103 patients, the median TTR was 49% (IQR 38– 63%), TATR 11% (IQR 5– 20%), and TBTR 33% (IQR 22– 51%). The regression analysis indicated a positive impact of higher TTR and TATR on the number of survival days [β=0.598 (p=0.0367) and β=1.032 (p=0.0208), respectively] and a negative impact of higher TBTR [β=− 0.681 (p=0.0033)] on the number of survival days.Conclusion: Higher TTR and TATR were associated with better survival of critically ill patients with a severe course of COVID-19-associated pneumonia. Higher TBTR was associated with worse survival in these patients.Keywords: unfractionated heparin, COVID-19, pneumonia, critical care
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- 2024
25. Neuromyelitis Optica Spectrum Disorder: Case Description and Information for Speech-Language Pathologists
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Angela Burda, Courtney Banwart, Madison Engels, Heather Hogelucht, Lauren Lilly, Hallee Mingus, Deepthy Nair, and Madison Simon
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Neuromyelitis optica spectrum disorder (NMOSD) is an acquired neurological disorder primarily affecting physical and visual functioning. There is a lack of empirical evidence in the existing literature about the nature of speech, language, and cognitive deficits associated with NMOSD. Hence, this case study provides assessment information about a 32-year-old female diagnosed with NMOSD who was administered the following formalized tests via teleconference: the Apraxia Battery for Adults--2nd edition, Cognitive Linguistic Quick Test, and Western Aphasia Battery-Revised. The participant, classified as having anomic aphasia, demonstrated good auditory and reading comprehension, writing difficulties, apraxia of speech, and mild difficulties with cognitive tasks requiring writing.
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- 2024
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26. Let's Verify Step by Step
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Lightman, Hunter, Kosaraju, Vineet, Burda, Yura, Edwards, Harri, Baker, Bowen, Lee, Teddy, Leike, Jan, Schulman, John, Sutskever, Ilya, and Cobbe, Karl
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer Science - Computation and Language - Abstract
In recent years, large language models have greatly improved in their ability to perform complex multi-step reasoning. However, even state-of-the-art models still regularly produce logical mistakes. To train more reliable models, we can turn either to outcome supervision, which provides feedback for a final result, or process supervision, which provides feedback for each intermediate reasoning step. Given the importance of training reliable models, and given the high cost of human feedback, it is important to carefully compare the both methods. Recent work has already begun this comparison, but many questions still remain. We conduct our own investigation, finding that process supervision significantly outperforms outcome supervision for training models to solve problems from the challenging MATH dataset. Our process-supervised model solves 78% of problems from a representative subset of the MATH test set. Additionally, we show that active learning significantly improves the efficacy of process supervision. To support related research, we also release PRM800K, the complete dataset of 800,000 step-level human feedback labels used to train our best reward model.
- Published
- 2023
27. CO2 capture in pilot-scale unit using solid adsorbent in biomass fluidised bed boiler flue gas
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Michael Dvořák, Jan Hrdlička, Lukáš Pilař, Pavel Skopec, and Jiří Burda
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CO2 capture ,solid adsorbent ,VPSA pilot-scale unit ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
The search for methods to capture carbon dioxide (CO2) emissions from solid fuel combustion processes has led to the development and subsequent testing of alternative innovative CO2 capture technologies. Vacuum Pressure Swing Adsorption (VPSA) method is a promising technology for efficient CO2 capture using solid sorbents. This article introduces CO2 capture using the VPSA technology, providing description of the selected VPSA method and the construction of a pilot-scale unit for VPSA CO2 capture. The main goal of this article is to present experimental results, including a description of the pilot-scale unit used for the VPSA adsorption tests using zeolite 13X, an industrially proven sorbent for CO2 capture. The measured adsorption values were compared with theoretical isotherms, allowing the assessment of VPSA method efficiency and accuracy in practical conditions. Results indicated discrepancies between the experimental unit and the theoretical adsorption models, attributed to non-ideal conditions, non-optimised processes, incomplete drying of the sorbent, and temperature variations affecting the adsorption efficiency. The conclusion confirms the VPSA lab unit’s ability to adsorb CO2 using solid sorbents, suggesting that further research and additional tests with new alternative sorbents is needed.
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- 2025
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28. Breakthrough Conductivity Enhancement in Deep Eutectic Solvents via Grotthuss‐Type Proton Transport
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Desiree Mae Prado, Alan Robledo, Katherine Hightower, Anthony Jahng, Brian Doherty, Kayla Poling, Mark Tuckerman, and Clemens Burda
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conductivity ,co‐solvent ,deep eutectic solvent ,Grotthuss mechanism ,proton transfer ,Physics ,QC1-999 ,Technology - Abstract
Abstract There is an increasing demand for the development of ion‐conducting electrolytes for energy storage systems. Much attention is directed toward deep eutectic solvents as potential candidates. In the search for highly conductive systems, the possibility of designing deep eutectic solvents with Grotthuss‐type proton transport is widely overlooked. Herein, ethaline, a mixture of choline chloride and ethylene glycol is used in a 1:2 molar ratio, to induce a significant conductivity increase with the addition of water and sulfuric acid (H2SO4). The achieved breakthrough conductivity is analyzed experimentally and simulated with ab initio molecular dynamics (AIMD). At sufficient water content, an H‐bonding network is formed that leads to a significant breakthrough conductivity based on H2SO4‐derived proton transfer following the long‐established Grotthuss proton transport mechanism. This result is substantiated by the positive deviation from the ideal KCl line in the Walden plot. Specifically, the data series positioned above the reference line indicates a Grotthuss mechanism in action. The AIMD simulations demonstrate proton transfer between water and ethylene glycol, supported by simulation frames captured at various times.
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- 2024
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29. Clinical usage of ischemic tolerance-where are its limits?
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Burda, Rastislav, Křemen, Róbert, Némethová, Miroslava, and Burda, Jozef
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- 2024
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30. The Cranial Nerve Exam: Effectiveness of Peer-to-Peer Teaching and Experiential Learning in Speech-Language Pathology Graduate Students
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Burda, Angela, Brotherton, Sydney, Duitscher, Addieana, Hart, Emily, Kellogg, Morgan, Schreck, Kacie, Sutton, Courtney, and Van Dyk, Paige
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This study sought to determine if speech-language pathology graduate students found peer-to-peer teaching and experiential learning beneficial in learning how to assess the cranial nerves. Graduate students in a motor speech disorders course completed an in-class cranial nerve examination in which they either portrayed clinicians or patients. Student groups utilized a reflective practice approach by teaching their peers how to assess the cranial nerves. Intensive practice sessions were offered almost daily for two weeks prior to the exam. Thirty-seven students completed an online survey about their knowledge and confidence in assessing cranial nerves and identifying diagnoses before starting the training for the exam; 36 participants completed the same survey post-exam training. Students reported feeling more confident and less anxious in evaluating the cranial nerves, assessing damages, and identifying diagnoses. This preliminary study indicates peer-to-peer teaching could be an effective strategy for learning how to evaluate cranial nerves.
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- 2022
31. The Effect of Removal of External Proteins PsbO, PsbP and PsbQ on Flash-Induced Molecular Oxygen Evolution and Its Biphasicity in Tobacco PSII
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Sonia Krysiak and Kvetoslava Burda
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photosynthesis ,Mn4CaO5 complex—water-oxidizing enzyme ,oxygen evolution ,extrinsic proteins ,photosystem II ,higher plant ,Biology (General) ,QH301-705.5 - Abstract
The oxygen evolution within photosystem II (PSII) is one of the most enigmatic processes occurring in nature. It is suggested that external proteins surrounding the oxygen-evolving complex (OEC) not only stabilize it and provide an appropriate ionic environment but also create water channels, which could be involved in triggering the ingress of water and the removal of O2 and protons outside the system. To investigate the influence of these proteins on the rate of oxygen release and the efficiency of OEC function, we developed a measurement protocol for the direct measurement of the kinetics of oxygen release from PSII using a Joliot-type electrode. PSII-enriched tobacco thylakoids were used in the experiments. The results revealed the existence of slow and fast modes of oxygen evolution. This observation is model-independent and requires no specific assumptions about the initial distribution of the OEC states. The gradual removal of exogenous proteins resulted in a slowdown of the rapid phase (~ms) of O2 release and its gradual disappearance while the slow phase (~tens of ms) accelerated. The role of external proteins in regulating the biphasicity and efficiency of oxygen release is discussed based on observed phenomena and current knowledge.
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- 2024
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32. The dynamics of the taxonomic composition of the alien fraction of the urban flora in the Kyiv urban area, Ukraine
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Koniakin Serhii M., Burda Raisa I., and Budzhak Vasyl V.
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alien invasive plants ,spreading invasive species ,stable and unstable plant taxonomic components ,Environmental sciences ,GE1-350 - Abstract
This article presents the results of an investigation into the recent taxonomic composition of the alien fraction of the urban flora in the Kyiv urban area (KUA). Its main dynamic tendencies over the last 20 years have been highlighted, along with the most probable phytoinvasive threats. The obtained linear regression equation allowed forecasting for the growth in the abundance of alien plant species against the background of the enlargement of the Kyiv urban area (r=0.53) and its human population numbers (r=0.87). The alien fraction of the urban flora of the KUA contains 717 taxa of vascular plants (668 species, 41 subspecies, 6 varieties, 1 form and 1 nothoform). In the past 20 years, the number of species of the urban flora of the KUA has increased by at least 166 alien taxa, some of which are representatives of new genera, families, and orders for our flora. This enrichment of the taxonomic structure of the alien fraction in the urban flora of the KUA has caused changes in the ratio of life forms, ecotypes, invasiveness of species, and other features. We specified probable invasive threats, conditioned by the formation of the group of new woody species, hydrophytes capable of rapidly accumulating their phytomass, some genera complexes involving alien and local species, which are inclined to hybridization.
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- 2024
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33. Network Analysis of Disinformation Actors During COVID-19 Pandemics and Beyond: The Case of Czech Facebook
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Robin Burda and Josef Procházka
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social network analysis ,disinformation ,facebook ,covid-19 ,Military Science - Abstract
Disinformation has been on the rise in recent years. Especially Central and Eastern Europe felt this in the form of Russian hybrid campaigns aiming to destabilize democratic governments and whole societies. Despite the apparent threat, there is a considerable research gap regarding the disinformation scene in the Czech Republic, particularly during the COVID-19 pandemic and after the Russian invasion of Ukraine. This article aimed to cover this gap by conducting a social network analysis of the Czech disinformation scene on Facebook from the beginning of the pandemic on March 11, 2020, until August 2023. The final dataset contained more than 6,000 posts, resulting in a network of 3,822 actors and 7,255 interactions. The analysis showed a high interconnectedness of the analyzed network and confirmed the crucial role of politicians and other public figures in spreading disinformation in the Czech Republic. Furthermore, a “disinformation spillover” from Slovakia to Czechia was observed, pointing out the interconnected disinformation scene in the two countries.
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- 2024
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34. 'Protect and Fight Back': A Case Study on User Motivations to Report Phishing Emails.
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Pavlo Burda, Luca Allodi, Alexander Serebrenik, and Nicola Zannone
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- 2024
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35. The (Relative) Impact of Email Cues on the Perceived Threat of Phishing Attacks: A User Perspective on Phishing Deceptiveness.
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Pavlo Burda, Maria Eleni Kokkini, Luca Allodi, and Nicola Zannone
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- 2024
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36. nuggets: Data Pattern Extraction Framework in R.
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Michal Burda
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- 2024
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37. Efficient photocatalytic CO2 and Cr(VI) reduction on carbon quantum dots/carbon nitride heterojunctions
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Xu, Zhengdong, Su, Xun, Yang, Penghui, Zhong, Junbo, Li, Minjiao, Burda, Clemens, and Dou, Lin
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- 2025
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38. ENVIRONMENTAL MONITORING AND MANAGEMENT OF THE ITAIPU RESERVOIR: USING REMOTE SENSING FOR THE DETECTION OF AQUATIC PLANTS/MONITORAMENTO E GESTAO AMBIENTAL DO RESERVATORIO DE ITAIPU: UTILIZANDO SENSORIAMENTO REMOTO PARA A DETECCAO DE PLANTAS AQUATICAS/MONITOREO Y GESTION AMBIENTAL DEL EMBALSE DE ITAIPU: UTILIZANDO SENSORES REMOTOS PARA LA DETECCION DE PLANTAS ACUATICAS
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do Nascimento, Kleberson Rodrigo, de Mello, Kelvyn Ferreira, Burda, Naomi Anaue, da Silva, Patricia Godoi, de Oliveira, Diego Santos, da Silva, Jefferson Luiz Goncalves, Maia, Brenda Rutchay da Silva, and de Oliveira, Leticia Silva
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- 2024
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39. Stratified analyses refine association between TLR7 rare variants and severe COVID-19
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Jannik Boos, Caspar I. van der Made, Gayatri Ramakrishnan, Eamon Coughlan, Rosanna Asselta, Britt-Sabina Löscher, Luca V.C. Valenti, Rafael de Cid, Luis Bujanda, Antonio Julià, Erola Pairo-Castineira, J. Kenneth Baillie, Sandra May, Berina Zametica, Julia Heggemann, Agustín Albillos, Jesus M. Banales, Jordi Barretina, Natalia Blay, Paolo Bonfanti, Maria Buti, Javier Fernandez, Sara Marsal, Daniele Prati, Luisa Ronzoni, Nicoletta Sacchi, Joachim L. Schultze, Olaf Riess, Andre Franke, Konrad Rawlik, David Ellinghaus, Alexander Hoischen, Axel Schmidt, Kerstin U. Ludwig, Valeria Rimoldi, Elvezia M. Paraboschi, Alessandra Bandera, Flora Peyvandi, Giacomo Grasselli, Francesco Blasi, Francesco Malvestiti, Serena Pelusi, Cristiana Bianco, Lorenzo Miano, Angela Lombardi, Pietro Invernizzi, Alessio Gerussi, Giuseppe Citerio, Andrea Biondi, Maria Grazia Valsecchi, Marina Elena Cazzaniga, Giuseppe Foti, Ilaria Beretta, Mariella D'Angiò, Laura Rachele Bettini, Xavier Farré, Susana Iraola-Guzmán, Manolis Kogevinas, Gemma Castaño-Vinyals, Koldo Garcia-Etxebarria, Beatriz Nafria, Mauro D'Amato, Adriana Palom, Colin Begg, Sara Clohisey, Charles Hinds, Peter Horby, Julian Knight, Lowell Ling, David Maslove, Danny McAuley, Johnny Millar, Hugh Montgomery, Alistair Nichol, Peter J.M. Openshaw, Alexandre C. Pereira, Chris P. Ponting, Kathy Rowan, Malcolm G. Semple, Manu Shankar-Hari, Charlotte Summers, Timothy Walsh, Latha Aravindan, Ruth Armstrong, Heather Biggs, Ceilia Boz, Adam Brown, Richard Clark, Audrey Coutts, Judy Coyle, Louise Cullum, Sukamal Das, Nicky Day, Lorna Donnelly, Esther Duncan, Angie Fawkes, Paul Fineran, Max Head Fourman, Anita Furlong, James Furniss, Bernadette Gallagher, Tammy Gilchrist, Ailsa Golightly, Fiona Griffiths, Katarzyna Hafezi, Debbie Hamilton, Ross Hendry, Andy Law, Dawn Law, Rachel Law, Sarah Law, Rebecca Lidstone-Scott, Louise Macgillivray, Alan Maclean, Hanning Mal, Sarah McCafferty, Ellie Mcmaster, Jen Meikle, Shona C. Moore, Kirstie Morrice, Lee Murphy, Sheena Murphy, Mybaya Hellen, Wilna Oosthuyzen, Chenqing Zheng, Jiantao Chen, Nick Parkinson, Trevor Paterson, Katherine Schon, Andrew Stenhouse, Mihaela Das, Maaike Swets, Helen Szoor-McElhinney, Filip Taneski, Lance Turtle, Tony Wackett, Mairi Ward, Jane Weaver, Nicola Wrobel, Marie Zechner, Gill Arbane, Aneta Bociek, Sara Campos, Neus Grau, Tim Owen Jones, Rosario Lim, Martina Marotti, Marlies Ostermann, Christopher Whitton, Zoe Alldis, Raine Astin-Chamberlain, Fatima Bibi, Jack Biddle, Sarah Blow, Matthew Bolton, Catherine Borra, Ruth Bowles, Maudrian Burton, Yasmin Choudhury, David Collier, Amber Cox, Amy Easthope, Patrizia Ebano, Stavros Fotiadis, Jana Gurasashvili, Rosslyn Halls, Pippa Hartridge, Delordson Kallon, Jamila Kassam, Ivone Lancoma-Malcolm, Maninderpal Matharu, Peter May, Oliver Mitchelmore, Tabitha Newman, Mital Patel, Jane Pheby, Irene Pinzuti, Zoe Prime, Oleksandra Prysyazhna, Julian Shiel, Melanie Taylor, Carey Tierney, Suzanne Wood, Anne Zak, Olivier Zongo, Stephen Bonner, Keith Hugill, Jessica Jones, Steven Liggett, Evie Headlam, Nageswar Bandla, Minnie Gellamucho, Michelle Davies, Christopher Thompson, Marwa Abdelrazik, Dhanalakshmi Bakthavatsalam, Munzir Elhassan, Arunkumar Ganesan, Anne Haldeos, Jeronimo Moreno-Cuesta, Dharam Purohit, Rachel Vincent, Kugan Xavier, Kumar Rohit, Frater Alasdair, Malik Saleem, Carter David, Jenkins Samuel, Zoe Lamond, Wall Alanna, Jaime Fernandez-Roman, David O. Hamilton, Emily Johnson, Brian Johnston, Maria Lopez Martinez, Suleman Mulla, David Shaw, Alicia A.C. Waite, Victoria Waugh, Ingeborg D. Welters, Karen Williams, Anna Cavazza, Maeve Cockrell, Eleanor Corcoran, Maria Depante, Clare Finney, Ellen Jerome, Mark McPhail, Monalisa Nayak, Harriet Noble, Kevin O'Reilly, Evita Pappa, Rohit Saha, Sian Saha, John Smith, Abigail Knighton, David Antcliffe, Dorota Banach, Stephen Brett, Phoebe Coghlan, Ziortza Fernandez, Anthony Gordon, Roceld Rojo, Sonia Sousa Arias, Maie Templeton, Megan Meredith, Lucy Morris, Lucy Ryan, Amy Clark, Julia Sampson, Cecilia Peters, Martin Dent, Margaret Langley, Saima Ashraf, Shuying Wei, Angela Andrew, Archana Bashyal, Neil Davidson, Paula Hutton, Stuart McKechnie, Jean Wilson, David Baptista, Rebecca Crowe, Rita Fernandes, Rosaleen Herdman-Grant, Anna Joseph, Denise O'Connor, Meryem Allen, Adam Loveridge, India McKenley, Eriko Morino, Andres Naranjo, Richard Simms, Kathryn Sollesta, Andrew Swain, Harish Venkatesh, Jacyntha Khera, Jonathan Fox, Gillian Andrew, Lucy Barclay, Marie Callaghan, Rachael Campbell, Sarah Clark, Dave Hope, Lucy Marshall, Corrienne McCulloch, Kate Briton, Jo Singleton, Sohphie Birch, Lutece Brimfield, Zoe Daly, David Pogson, Steve Rose, Ceri Battle, Elaine Brinkworth, Rachel Harford, Carl Murphy, Luke Newey, Tabitha Rees, Marie Williams, Sophie Arnold, Petra Polgarova, Katerina Stroud, Eoghan Meaney, Megan Jones, Anthony Ng, Shruti Agrawal, Nazima Pathan, Deborah White, Esther Daubney, Kay Elston, Lina Grauslyte, Musarat Hussain, Mandeep Phull, Tatiana Pogreban, Lace Rosaroso, Erika Salciute, George Franke, Joanna Wong, Aparna George, Laura Ortiz-Ruiz de Gordoa, Emily Peasgood, Claire Phillips, Michelle Bates, Jo Dasgin, Jaspret Gill, Annette Nilsson, James Scriven, Carlos Castro Delgado, Deborah Dawson, Lijun Ding, Georgia Durrant, Obiageri Ezeobu, Sarah Farnell-Ward, Abiola Harrison, Rebecca Kanu, Susannah Leaver, Elena Maccacari, Soumendu Manna, Romina Pepermans Saluzzio, Joana Queiroz, Tinashe Samakomva, Christine Sicat, Joana Texeira, Edna Fernandes Da Gloria, Ana Lisboa, John Rawlins, Jisha Mathew, Ashley Kinch, William James Hurt, Nirav Shah, Victoria Clark, Maria Thanasi, Nikki Yun, Kamal Patel, Sara Bennett, Emma Goodwin, Matthew Jackson, Alissa Kent, Clare Tibke, Wiesia Woodyatt, Ahmed Zaki, Azmerelda Abraheem, Peter Bamford, Kathryn Cawley, Charlie Dunmore, Maria Faulkner, Rumanah Girach, Helen Jeffrey, Rhianna Jones, Emily London, Imrun Nagra, Farah Nasir, Hannah Sainsbury, Clare Smedley, Tahera Patel, Matthew Smith, Srikanth Chukkambotla, Aayesha Kazi, Janice Hartley, Joseph Dykes, Muhammad Hijazi, Sarah Keith, Meherunnisa Khan, Janet Ryan-Smith, Philippa Springle, Jacqueline Thomas, Nick Truman, Samuel Saad, Dabheoc Coleman, Christopher Fine, Roseanna Matt, Bethan Gay, Jack Dalziel, Syamlan Ali, Drew Goodchild, Rhiannan Harling, Ravi Bhatterjee, Wendy Goddard, Chloe Davison, Stephen Duberly, Jeanette Hargreaves, Rachel Bolton, Miriam Davey, David Golden, Rebecca Seaman, Shiney Cherian, Sean Cutler, Anne Emma Heron, Anna Roynon-Reed, Tamas Szakmany, Gemma Williams, Owen Richards, Yusuf Cheema, Hollie Brooke, Sarah Buckley, Jose Cebrian Suarez, Ruth Charlesworth, Karen Hansson, John Norris, Alice Poole, Alastair Rose, Rajdeep Sandhu, Brendan Sloan, Elizabeth Smithson, Muthu Thirumaran, Veronica Wagstaff, Alexandra Metcalfe, Mark Brunton, Jess Caterson, Holly Coles, Matthew Frise, Sabi Gurung Rai, Nicola Jacques, Liza Keating, Emma Tilney, Shauna Bartley, Parminder Bhuie, Sian Gibson, Amanda Lyle, Fiona McNeela, Jayachandran Radhakrishnan, Alistair Hughes, Bryan Yates, Jessica Reynolds, Helen Campbell, Maria Thompsom, Steve Dodds, Stacey Duffy, Sandra Greer, Karen Shuker, Ascanio Tridente, Reena Khade, Ashok Sundar, George Tsinaslanidis, Isobel Birkinshaw, Joseph Carter, Kate Howard, Joanne Ingham, Rosie Joy, Harriet Pearson, Samantha Roche, Zoe Scott, Hollie Bancroft, Mary Bellamy, Margaret Carmody, Jacqueline Daglish, Faye Moore, Joanne Rhodes, Mirriam Sangombe, Salma Kadiri, Maria Croft, Ian White, Victoria Frost, Maia Aquino, Rajeev Jha, Vinodh Krishnamurthy, Lai Lim, Li Lim, Edward Combes, Teishel Joefield, Sonja Monnery, Valerie Beech, Sallyanne Trotman, Christine Almaden-Boyle, Pauline Austin, Louise Cabrelli, Stephen Cole, Matt Casey, Susan Chapman, Clare Whyte, Yolanda Baird, Aaron Butler, Indra Chadbourn, Linda Folkes, Heather Fox, Amy Gardner, Raquel Gomez, Gillian Hobden, Luke Hodgson, Kirsten King, Michael Margarson, Tim Martindale, Emma Meadows, Dana Raynard, Yvette Thirlwall, David Helm, Jordi Margalef, Kristine Criste, Rebecca Cusack, Kim Golder, Hannah Golding, Oliver Jones, Samantha Leggett, Michelle Male, Martyna Marani, Kirsty Prager, Toran Williams, Belinda Roberts, Karen Salmon, Peter Anderson, Katie Archer, Karen Austin, Caroline Davis, Alison Durie, Olivia Kelsall, Jessica Thrush, Charlie Vigurs, Laura Wild, Hannah-Louise Wood, Helen Tranter, Alison Harrison, Nicholas Cowley, Michael McAlindon, Andrew Burtenshaw, Stephen Digby, Emma Low, Aled Morgan, Naiara Cother, Tobias Rankin, Sarah Clayton, Alex McCurdy, Cecilia Ahmed, Balvinder Baines, Sarah Clamp, Julie Colley, Risna Haq, Anne Hayes, Jonathan Hulme, Samia Hussain, Sibet Joseph, Rita Kumar, Zahira Maqsood, Manjit Purewal, Leonie Benham, Zena Bradshaw, Joanna Brown, Melanie Caswell, Jason Cupitt, Sarah Melling, Stephen Preston, Nicola Slawson, Emma Stoddard, Scott Warden, Bethan Deacon, Ceri Lynch, Carla Pothecary, Lisa Roche, Gwenllian Sera Howe, Jayaprakash Singh, Keri Turner, Hannah Ellis, Natalie Stroud, Jodie Hunt, Joy Dearden, Emma Dobson, Andy Drummond, Michelle Mulcahy, Sheila Munt, Grainne O'Connor, Jennifer Philbin, Chloe Rishton, Redmond Tully, Sarah Winnard, Susanne Cathcart, Katharine Duffy, Alex Puxty, Kathryn Puxty, Lynne Turner, Jane Ireland, Gary Semple, Kate Long, Simon Whiteley, Elizabeth Wilby, Bethan Ogg, Amanda Cowton, Andrea Kay, Melanie Kent, Kathryn Potts, Ami Wilkinson, Suzanne Campbell, Ellen Brown, Julie Melville, Jay Naisbitt, Rosane Joseph, Maria Lazo, Olivia Walton, Alan Neal, Peter Alexander, Schvearn Allen, Joanne Bradley-Potts, Craig Brantwood, Jasmine Egan, Timothy Felton, Grace Padden, Luke Ward, Stuart Moss, Susannah Glasgow, Lynn Abel, Michael Brett, Brian Digby, Lisa Gemmell, James Hornsby, Patrick MacGoey, Pauline O'Neil, Richard Price, Natalie Rodden, Kevin Rooney, Radha Sundaram, Nicola Thomson, Bridget Hopkins, Laura Thrasyvoulou, Heather Willis, Martyn Clark, Martina Coulding, Edward Jude, Jacqueline McCormick, Oliver Mercer, Darsh Potla, Hafiz Rehman, Heather Savill, Victoria Turner, Charlotte Downes, Kathleen Holding, Katie Riches, Mary Hilton, Mel Hayman, Deepak Subramanian, Priya Daniel, Oluronke Adanini, Nikhil Bhatia, Maines Msiska, Rebecca Collins, Ian Clement, Bijal Patel, A. Gulati, Carole Hays, K. Webster, Anne Hudson, Andrea Webster, Elaine Stephenson, Louise McCormack, Victoria Slater, Rachel Nixon, Helen Hanson, Maggie Fearby, Sinead Kelly, Victoria Bridgett, Philip Robinson, Julie Camsooksai, Charlotte Humphrey, Sarah Jenkins, Henrik Reschreiter, Beverley Wadams, Yasmin Death, Victoria Bastion, Daphene Clarke, Beena David, Harriet Kent, Rachel Lorusso, Gamu Lubimbi, Sophie Murdoch, Melchizedek Penacerrada, Alastair Thomas, Jennifer Valentine, Ana Vochin, Retno Wulandari, Brice Djeugam, Gillian Bell, Katy English, Amro Katary, Louise Wilcox, Michelle Bruce, Karen Connolly, Tracy Duncan, Helen T-Michael, Gabriella Lindergard, Samuel Hey, Claire Fox, Jordan Alfonso, Laura Jayne Durrans, Jacinta Guerin, Bethan Blackledge, Jade Harris, Martin Hruska, Ayaa Eltayeb, Thomas Lamb, Tracey Hodgkiss, Lisa Cooper, Joanne Rothwell, Angela Allan, Felicity Anderson, Callum Kaye, Jade Liew, Jasmine Medhora, Teresa Scott, Erin Trumper, Adriana Botello, Liana Lankester, Nikitas Nikitas, Colin Wells, Bethan Stowe, Kayleigh Spencer, Craig Brandwood, Lara Smith, Katie Birchall, Laurel Kolakaluri, Deborah Baines, Anila Sukumaran, Elena Apetri, Cathrine Basikolo, Laura Catlow, Bethan Charles, Paul Dark, Reece Doonan, Alice Harvey, Daniel Horner, Karen Knowles, Stephanie Lee, Diane Lomas, Chloe Lyons, Tracy Marsden, Danielle McLaughlan, Liam McMorrow, Jessica Pendlebury, Jane Perez, Maria Poulaka, Nicola Proudfoot, Melanie Slaughter, Kathryn Slevin, Vicky Thomas, Danielle Walker, Angiy Michael, Matthew Collis, Tracey Cosier, Gemma Millen, Neil Richardson, Natasha Schumacher, Heather Weston, James Rand, Nicola Baxter, Steven Henderson, Sophie Kennedy-Hay, Christopher McParland, Laura Rooney, Malcolm Sim, Gordan McCreath, Louise Akeroyd, Shereen Bano, Matt Bromley, Lucy Gurr, Tom Lawton, James Morgan, Kirsten Sellick, Deborah Warren, Brian Wilkinson, Janet McGowan, Camilla Ledgard, Amelia Stacey, Kate Pye, Ruth Bellwood, Michael Bentley, Jeremy Bewley, Zoe Garland, Lisa Grimmer, Bethany Gumbrill, Rebekah Johnson, Katie Sweet, Denise Webster, Georgia Efford, Karen Convery, Deirdre Fottrell-Gould, Lisa Hudig, Jocelyn Keshet-Price, Georgina Randell, Katie Stammers, Maria Bokhari, Vanessa Linnett, Rachael Lucas, Wendy McCormick, Jenny Ritzema, Amanda Sanderson, Helen Wild, Anthony Rostron, Alistair Roy, Lindsey Woods, Sarah Cornell, Fiona Wakinshaw, Kimberley Rogerson, Jordan Jarmain, Robert Parker, Amie Reddy, Ian Turner-Bone, Laura Wilding, Peter Harding, Caroline Abernathy, Louise Foster, Andrew Gratrix, Vicky Martinson, Priyai Parkinson, Elizabeth Stones, Llucia Carbral-Ortega, Georgia Bercades, David Brealey, Ingrid Hass, Niall MacCallum, Gladys Martir, Eamon Raith, Anna Reyes, Deborah Smyth, Letizia Zitter, Sarah Benyon, Suzie Marriott, Linda Park, Samantha Keenan, Elizabeth Gordon, Helen Quinn, Kizzy Baines, Lenka Cagova, Adama Fofano, Lucie Garner, Helen Holcombe, Sue Mepham, Alice Michael Mitchell, Lucy Mwaura, Krithivasan Praman, Alain Vuylsteke, Julie Zamikula, Bally Purewal, Vanessa Rivers, Stephanie Bell, Hayley Blakemore, Borislava Borislavova, Beverley Faulkner, Emma Gendall, Elizabeth Goff, Kati Hayes, Matt Thomas, Ruth Worner, Kerry Smith, Deanna Stephens, Louise Mew, Esther Mwaura, Richard Stewart, Felicity Williams, Lynn Wren, Sara-Beth Sutherland, Emily Bevan, Jane Martin, Dawn Trodd, Geoff Watson, Caroline Wrey Brown, Amy Collins, Waqas Khaliq, Estefania Treus Gude, Olugbenga Akinkugbe, Alasdair Bamford, Emily Beech, Holly Belfield, Michael Bell, Charlene Davies, Gareth A.L. Jones, Tara McHugh, Hamza Meghari, Lauran O'Neill, Mark J. Peters, Samiran Ray, Ana Luisa Tomas, Iona Burn, Geraldine Hambrook, Katarina Manso, Ruth Penn, Pradeep Shanmugasundaram, Julie Tebbutt, Danielle Thornton, Jade Cole, Rhys Davies, Donna Duffin, Helen Hill, Ben Player, Emma Thomas, Angharad Williams, Denise Griffin, Nycola Muchenje, Mcdonald Mupudzi, Richard Partridge, Jo-Anna Conyngham, Rachel Thomas, Mary Wright, Maria Alvarez Corral, Reni Jacob, Cathy Jones, Craig Denmade, Sarah Beavis, Katie Dale, Rachel Gascoyne, Joanne Hawes, Kelly Pritchard, Lesley Stevenson, Amanda Whileman, Patricia Doble, Joanne Hutter, Corinne Pawley, Charmaine Shovelton, Marius Vaida, Deborah Butcher, Susie O'Sullivan, Nicola Butterworth-Cowin, Norfaizan Ahmad, Joann Barker, Kris Bauchmuller, Sarah Bird, Kay Cawthron, Kate Harrington, Yvonne Jackson, Faith Kibutu, Becky Lenagh, Shamiso Masuko, Gary H. Mills, Ajay Raithatha, Matthew Wiles, Jayne Willson, Helen Newell, Alison Lye, Lorenza Nwafor, Claire Jarman, Sarah Rowland-Jones, David Foote, Joby Cole, Roger Thompson, James Watson, Lisa Hesseldon, Irene Macharia, Luke Chetam, Jacqui Smith, Amber Ford, Samantha Anderson, Kathryn Birchall, Kay Housley, Sara Walker, Leanne Milner, Helena Hanratty, Helen Trower, Patrick Phillips, Simon Oxspring, Ben Donne, Catherine Jardine, Dewi Williams, Alasdair Hay, Rebecca Flanagan, Gareth Hughes, Scott Latham, Emma McKenna, Jennifer Anderson, Robert Hull, Kat Rhead, Carina Cruz, Natalie Pattison, Rob Charnock, Denise McFarland, Denise Cosgrove, Ashar Ahmed, Anna Morris, Srinivas Jakkula, Asifa Ali, Megan Brady, Sam Dale, Annalisa Dance, Lisa Gledhill, Jill Greig, Kathryn Hanson, Kelly Holdroyd, Marie Home, Diane Kelly, Ross Kitson, Lear Matapure, Deborah Melia, Samantha Mellor, Tonicha Nortcliffe, Jez Pinnell, Matthew Robinson, Lisa Shaw, Ryan Shaw, Lesley Thomis, Alison Wilson, Tracy Wood, Lee-Ann Bayo, Ekta Merwaha, Tahira Ishaq, Sarah Hanley, Meg Hibbert, Dariusz Tetla, Chrsitopher Woodford, Latha Durga, Gareth Kennard-Holden, Debbie Branney, Jordan Frankham, Sally Pitts, Nigel White, Shondipon Laha, Mark Verlander, Alexandra Williams, Abdelhakim Altabaibeh, Ana Alvaro, Kayleigh Gilbert, Louise Ma, Loreta Mostoles, Chetan Parmar, Kathryn Simpson, Champa Jetha, Lauren Booker, Anezka Pratley, Colene Adams, Anita Agasou, Tracie Arden, Amy Bowes, Pauline Boyle, Mandy Beekes, Heather Button, Nigel Capps, Mandy Carnahan, Anne Carter, Danielle Childs, Denise Donaldson, Kelly Hard, Fran Hurford, Yasmin Hussain, Ayesha Javaid, James Jones, Sanal Jose, Michael Leigh, Terry Martin, Helen Millward, Nichola Motherwell, Rachel Rikunenko, Jo Stickley, Julie Summers, Louise Ting, Helen Tivenan, Louise Tonks, Rebecca Wilcox, Maureen Holland, Natalie Keenan, Marc Lyons, Helen Wassall, Chris Marsh, Mervin Mahenthran, Emma Carter, Thomas Kong, Helen Blackman, Ben Creagh-Brown, Sinead Donlon, Natalia Michalak-Glinska, Sheila Mtuwa, Veronika Pristopan, Armorel Salberg, Eleanor Smith, Sarah Stone, Charles Piercy, Jerik Verula, Dorota Burda, Rugia Montaser, Lesley Harden, Irving Mayangao, Cheryl Marriott, Paul Bradley, Celia Harris, Susan Anderson, Eleanor Andrews, Janine Birch, Emma Collins, Kate Hammerton, Ryan O'Leary, Michele Clark, Sarah Purvis, Russell Barber, Claire Hewitt, Annette Hilldrith, Karen Jackson-Lawrence, Sarah Shepardson, Maryanne Wills, Susan Butler, Silvia Tavares, Amy Cunningham, Julia Hindale, Sarwat Arif, Sarah Bean, Karen Burt, Michael Spivey, Carrie Demetriou, Charlotte Eckbad, Sarah Hierons, Lucy Howie, Sarah Mitchard, Lidia Ramos, Alfredo Serrano-Ruiz, Katie White, Fiona Kelly, Daniele Cristiano, Natalie Dormand, Zohreh Farzad, Mahitha Gummadi, Kamal Liyanage, Brijesh Patel, Sara Salmi, Geraldine Sloane, Vicky Thwaites, Mathew Varghese, Anelise C. Zborowski, John Allan, Tim Geary, Gordon Houston, Alistair Meikle, Peter O'Brien, Miranda Forsey, Agilan Kaliappan, Anne Nicholson, Joanne Riches, Mark Vertue, Elizabeth Allan, Kate Darlington, Ffyon Davies, Jack Easton, Sumit Kumar, Richard Lean, Daniel Menzies, Richard Pugh, Xinyi Qiu, Llinos Davies, Hannah Williams, Jeremy Scanlon, Gwyneth Davies, Callum Mackay, Joannne Lewis, Stephanie Rees, Metod Oblak, Monica Popescu, Mini Thankachen, Andrew Higham, Kerry Simpson, Jayne Craig, Rosie Baruah, Sheila Morris, Susie Ferguson, Amy Shepherd, Luke Stephen Prockter Moore, Marcela Paola Vizcaychipi, Laura Gomes de Almeida Martins, Jaime Carungcong, Inthakab Ali Mohamed Ali, Karen Beaumont, Mark Blunt, Zoe Coton, Hollie Curgenven, Mohamed Elsaadany, Kay Fernandes, Sameena Mohamed Ally, Harini Rangarajan, Varun Sarathy, Sivarupan Selvanayagam, Dave Vedage, Matthew White, Mandy Gill, Paul Paul, Valli Ratnam, Sarah Shelton, Inez Wynter, Siobhain Carmody, Valerie Joan Page, Claire Marie Beith, Karen Black, Suzanne Clements, Alan Morrison, Dominic Strachan, Margaret Taylor, Michelle Clarkson, Stuart D'Sylva, Kathryn Norman, Fiona Auld, Joanne Donnachie, Ian Edmond, Lynn Prentice, Nikole Runciman, Dario Salutous, Lesley Symon, Anne Todd, Patricia Turner, Abigail Short, Laura Sweeney, Euan Murdoch, Dhaneesha Senaratne, Michaela Hill, Thogulava Kannan, Wild Laura, Rikki Crawley, Abigail Crew, Mishell Cunningham, Allison Daniels, Laura Harrison, Susan Hope, Ken Inweregbu, Sian Jones, Nicola Lancaster, Jamie Matthews, Alice Nicholson, Gemma Wray, Helen Langton, Rachel Prout, Malcolm Watters, Catherine Novis, Anthony Barron, Ciara Collins, Sundeep Kaul, Heather Passmore, Claire Prendergast, Anna Reed, Paula Rogers, Rajvinder Shokkar, Meriel Woodruff, Hayley Middleton, Oliver Polgar, Claire Nolan, Kanta Mahay, Dawn Collier, Anil Hormis, Victoria Maynard, Cheryl Graham, Rachel Walker, Ellen Knights, Alicia Price, Alice Thomas, Chris Thorpe, Teresa Behan, Caroline Burnett, Jonathan Hatton, Elaine Heeney, Atideb Mitra, Maria Newton, Rachel Pollard, Rachael Stead, Vishal Amin, Elena Anastasescu, Vikram Anumakonda, Komala Karthik, Rizwana Kausar, Karen Reid, Jacqueline Smith, Janet Imeson-Wood, Denise Skinner, Jane Gaylard, Dee Mullan, Julie Newman, Alison Brown, Vikki Crickmore, Gabor Debreceni, Joy Wilkins, Liz Nicol, Rosie Reece-Anthony, Mark Birt, Alison Ghosh, Emma Williams, Louise Allen, Eva Beranova, Nikki Crisp, Joanne Deery, Tracy Hazelton, Alicia Knight, Carly Price, Sorrell Tilbey, Salah Turki, Sharon Turney, Joshua Cooper, Cheryl Finch, Sarah Liderth, Alison Quinn, Natalia Waddington, Tina Coventry, Susan Fowler, Michael MacMahon, Amanda McGregor, Anne Cowley, Judith Highgate, Jane Gregory, Susan O'Connell, Tim Smith, Luigi Barberis, Shameer Gopal, Nichola Harris, Victoria Lake, Stella Metherell, Elizabeth Radford, Amelia Daniel, Joanne Finn, Rajnish Saha, Nikki White, Phil Donnison, Fiona Trim, Beena Eapen, Jenny Birch, Laura Bough, Josie Goodsell, Rebecca Tutton, Patricia Williams, Sarah Williams, Barbara Winter-Goodwin, Ailstair Nichol, Kathy Brickell, Michelle Smyth, Lorna Murphy, Samantha Coetzee, Alistair Gales, Igor Otahal, Meena Raj, Craig Sell, Paula Hilltout, Jayne Evitts, Amanda Tyler, Joanne Waldron, Kate Beesley, Sarah Board, Agnieszka Kubisz-Pudelko, Alison Lewis, Jess Perry, Lucy Pippard, Di Wood, Clare Buckley, Peter Barry, Neil Flint, Patel Rekha, Dawn Hales, Lara Bunni, Claire Jennings, Monica Latif, Rebecca Marshall, Gayathri Subramanian, Peter J. McGuigan, Christopher Wasson, Stephanie Finn, Jackie Green, Erin Collins, Bernadette King, Andy Campbell, Sara Smuts, Joseph Duffield, Oliver Smith, Lewis Mallon, Watkins Claire, Liam Botfield, Joanna Butler, Catherine Dexter, Jo Fletcher, Atul Garg, Aditya Kuravi, Poonam Ranga, Emma Virgilio, Zakaula Belagodu, Bridget Fuller, Anca Gherman, Olumide Olufuwa, Remi Paramsothy, Carmel Stuart, Naomi Oakley, Charlotte Kamundi, David Tyl, Katy Collins, Pedro Silva, June Taylor, Laura King, Charlotte Coates, Maria Crowley, Phillipa Wakefield, Jane Beadle, Laura Johnson, Janet Sargeant, Madeleine Anderson, Ailbhe Brady, Rebekah Chan, Jeff Little, Shane McIvor, Helena Prady, Helen Whittle, Bijoy Mathew, Ben Attwood, Penny Parsons, Geraldine Ward, Pamela Bremmer, West Joe, Baird Tracy, Ruddy Jim, Ellie Davies, Sonia Sathe, Catherine Dennis, Alastair McGregor, Victoria Parris, Sinduya Srikaran, Anisha Sukha, Noreen Clarke, Jonathan Whiteside, Mairi Mascarenhas, Avril Donaldson, Joanna Matheson, Fiona Barrett, Marianne O'Hara, Laura Okeefe, Clare Bradley, Christine Eastgate-Jackson, Helder Filipe, Daniel Martin, Amitaa Maharajh, Sara Mingo Garcia, Glykeria Pakou, Mark De Neef, Kathy Dent, Elizabeth Horsley, Muhmmad Nauman Akhtar, Sandra Pearson, Dorota Potoczna, Sue Spencer, Melanie Clapham, Rosemary Harper, Una Poultney, Polly Rice, Rachel Mutch, Lisa Armstrong, Hayley Bates, Emma Dooks, Fiona Farquhar, Brigid Hairsine, Chantal McParland, Sophie Packham, Rehana Bi, Barney Scholefield, Lydia Ashton, Linsha George, Sophie Twiss, David Wright, Manish Chablani, Amy Kirkby, Kimberley Netherton, Kim Davies, Linda O'Brien, Zohra Omar, Emma Perkins, Tracy Lewis, Isobel Sutherland, Karen Burns, Dr Ben Chandler, Kerry Elliott, Janine Mallinson, Alison Turnbull, Prisca Gondo, Bernard Hadebe, Abdul Kayani, Bridgett Masunda, Taya Anderson, Dan Hawcutt, Laura O'Malley, Laura Rad, Naomi Rogers, Paula Saunderson, Kathryn Sian Allison, Deborah Afolabi, Jennifer Whitbread, Dawn Jones, Rachael Dore, Matthew Halkes, Pauline Mercer, Lorraine Thornton, Joy Dawson, Sweyn Garrioch, Melanie Tolson, Jonathan Aldridge, Ritoo Kapoor, David Loader, Karen Castle, Sally Humphreys, Ruth Tampsett, Katherine Mackintosh, Amanda Ayers, Wendy Harrison, Julie North, Suzanne Allibone, Roman Genetu, Vidya Kasipandian, Amit Patel, Ainhi Mac, Anthony Murphy, Parisa Mahjoob, Roonak Nazari, Lucy Worsley, Andrew Fagan, Thomas Bemand, Ethel Black, Arnold Dela Rosa, Ryan Howle, Shaman Jhanji, Ravishankar Rao Baikady, Kate Colette Tatham, Benjamin Thomas, Dina Bell, Rosalind Boyle, Katie Douglas, Lynn Glass, Emma Lee, Liz Lennon, Austin Rattray, Abigail Taylor, Rachel Anne Hughes, Helen Thomas, Alun Rees, Michaela Duskova, Janet Phipps, Suzanne Brooks, Michelle Edwards, Sheena Quaid, Ekaterina Watson, Adam Brayne, Emma Fisher, Jane Hunt, Peter Jackson, Duncan Kaye, Nicholas Love, Juliet Parkin, Victoria Tuckey, Lynne Van Koutrik, Sasha Carter, Benedict Andrew, Louise Findlay, Katie Adams, Jen Service, Alison Williams, Claire Cheyne, Anne Saunderson, Sam Moultrie, Miranda Odam, Kathryn Hall, Isheunesu Mapfunde, Charlotte Willis, Alex Lyon, Chunda Sri-Chandana, Joslan Scherewode, Lorraine Stephenson, Sarah Marsh, John Hardy, Henry Houlden, Eleanor Moncur, Ambreen Tariq, Arianna Tucci, Maria Hobrok, Ronda Loosley, Heather McGuinness, Helen Tench, Rebecca Wolf-Roberts, Val Irvine, Benjamin Shelley, Claire Gorman, Abhinav Gupta, Elizabeth Timlick, Rebecca Brady, Barry Milligan, Arianna Bellini, Jade Bryant, Anton Mayer, Amy Pickard, Nicholas Roe, Jason Sowter, Alex Howlett, Katy Fidler, Emma Tagliavini, and Kevin Donnelly
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SARS-CoV-2 ,host genetics ,toll-like receptor 7 ,targeted sequencing ,rare variants ,variant collapsing analysis ,Genetics ,QH426-470 - Abstract
Summary: Despite extensive global research into genetic predisposition for severe COVID-19, knowledge on the role of rare host genetic variants and their relation to other risk factors remains limited. Here, 52 genes with prior etiological evidence were sequenced in 1,772 severe COVID-19 cases and 5,347 population-based controls from Spain/Italy. Rare deleterious TLR7 variants were present in 2.4% of young (
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- 2024
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40. Imatinib therapy of chronic myeloid leukemia significantly reduces carnitine cell intake, resulting in adverse events
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Pavel Burda, Alzbeta Hlavackova, Vendula Polivkova, Nikola Curik, Adam Laznicka, Jitka Krizkova, Jiri Suttnar, Pavel Klener, and Katerina Machova Polakova
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Imatinib ,Carnitine ,OCTN2 ,CML ,TKI therapy side effects ,Internal medicine ,RC31-1245 - Abstract
Objective: A prominent, safe and efficient therapy for patients with chronic myeloid leukemia (CML) is inhibiting oncogenic protein BCR::ABL1 in a targeted manner with imatinib, a tyrosine kinase inhibitor. A substantial part of patients treated with imatinib report skeletomuscular adverse events affecting their quality of life. OCTN2 membrane transporter is involved in imatinib transportation into the cells. At the same time, the crucial physiological role of OCTN2 is cellular uptake of carnitine which is an essential co-factor for the mitochondrial β-oxidation pathway. This work investigates the impact of imatinib treatment on carnitine intake and energy metabolism of muscle cells. Methods: HTB-153 (human rhabdomyosarcoma) cell line and KCL-22 (CML cell line) were used to study the impact of imatinib treatment on intracellular levels of carnitine and vice versa. The energy metabolism changes in cells treated by imatinib were quantified and compared to changes in cells exposed to highly specific OCTN2 inhibitor vinorelbine. Mouse models were used to test whether in vitro observations are also achieved in vivo in thigh muscle tissue. The analytes of interest were quantified using a Prominence HPLC system coupled with a tandem mass spectrometer. Results: This work showed that through the carnitine-specific transporter OCTN2, imatinib and carnitine intake competed unequally and intracellular carnitine concentrations were significantly reduced. In contrast, carnitine preincubation did not influence imatinib cell intake or interfere with leukemia cell targeting. Blocking the intracellular supply of carnitine with imatinib significantly reduced the production of most Krebs cycle metabolites and ATP. However, subsequent carnitine supplementation rescued mitochondrial energy production. Due to specific inhibition of OCTN2 activity, the influx of carnitine was blocked and mitochondrial energy metabolism was impaired in muscle cells in vitro and in thigh muscle tissue in a mouse model. Conclusions: This preclinical experimental study revealed detrimental effect of imatinib on carnitine-mediated energy metabolism of muscle cells providing a possible molecular background of the frequently occurred side effects during imatinib therapy such as fatigue, muscle pain and cramps.
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- 2024
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41. Acoustic Emission Localization in Steel Pipes Through Entropy-information Analysis
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Denis Bogomolov, Camilla B. Larocca, Sina Zolfagharysaravi, Lorenzo M. Peppi, Evgeny Burda, Canio Mennuti, Giuseppe Augugliaro, Luca De Marchi, and Alessandro Marzani
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Chemical engineering ,TP155-156 ,Computer engineering. Computer hardware ,TK7885-7895 - Abstract
The present study aims to introduce an innovative entropy-based denoising technique to enhance the accuracy of TDoA (Time Difference of Arrival) in source localization techniques based on acoustic emissions (AE). The approach focuses on the challenging scenario of industrial pipelines in energy and transportation systems characterized by high level of noise. Conventional methods for estimating the TDoA of AE sources, are generally hindered by external interferences in near-industrial scenarios, leading to distorted AE signals. The proposed approach encompasses a comprehensive analysis of signal waveforms, integrating local entropy to effectively compensate for the presents of noise, and employing the Akaike Information Criterion (AIC) to estimate the TDoA. To evaluate the performance of the proposed method, a two-stage experimental campaign was conducted on a pressurized hydraulic circuit. The first stage involved verifying the statistical reliability of the proposed algorithm by employing the Hsu-Nielsen test (pencil lead break) at multiple points along a series of pipes. In the second stage, an ad-hoc system was devised to induce accelerated corrosion on the same piping while capturing raw acoustic emission waveforms. Various levels of Gaussian noise, reflecting distinct signal-to-noise ratios, were added to the recorded raw waveforms to simulate diverse industrial interference scenarios. The findings illustrate significant enhancement in the accuracy and repeatability of AE source localization. The proposed entropy-based denoising technique showcases substantial potential for advancing damage detection and localization within the Process & Power Industry.
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- 2024
42. Partition function zeros of zeta-urns
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P. Bialas, Z. Burda, and D. A. Johnston
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Lee-Yang and Fisher zeroes ,critical exponents ,first order phase transitions ,second order phase transitions ,Physics ,QC1-999 - Abstract
We discuss the distribution of partition function zeros for the grand-canonical ensemble of the zeta-urn model, where tuning a single parameter can give a first or any higher order condensation transition. We compute the locus of zeros for finite-size systems and test scaling relations describing the accumulation of zeros near the critical point against theoretical predictions for both the first and higher order transition regimes.
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- 2024
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43. Investigation of individual lack-of-fusion defects in the fatigue performance of laser-powder bed fusion Ti6Al4V alloys: A finite element analysis
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Li, Zongchen, Gut, Andre, Burda, Iurii, Michel, Silvain, Gwerder, Damian, Schütz, Philipp, Romancuk, Dejan, and Affolter, Christian
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- 2024
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44. Ultrasound imaging using SPOMA: Simultaneous Plane-waves with genetic algorithm Optimization and fast delay-multiply-and-sum Multiple Acquisitions
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Machado, Victor H.R., Burda, Matheus A., Prado, Tatiana de A., Brante, Glauber, Passarin, Thiago A.R., Guarneri, Giovanni A., Maia, Joaquim M., Pires, Gustavo P., and Pipa, Daniel R.
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- 2025
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45. Dynamics of Indonesian stock market interconnection: Insights from selected ASEAN countries and global players during and after the COVID-19 pandemic
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Muhammad Anhar, Ridwan Maronrong, Agustian Burda, and La Ode Sumail
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ARDL ,ASEAN ,capital market integration ,composite stock price index ,COVID-19 pandemic ,Indonesia ,Finance ,HG1-9999 - Abstract
This study investigates the evolving dynamics of the Indonesian stock market in relation to selected ASEAN countries (Malaysia, Singapore, Thailand, and the Philippines) and global economic players (the US, Japan, and China) during and after the COVID-19 pandemic. Utilizing weekly data for the pandemic era (January 2020 – December 2021) and the post-pandemic period (January 2022 – December 2023), the ARDL technique reveals intricate relationships among these capital markets. Long-term analyses indicate that Singapore and the Philippines positively influenced Indonesia’s market during the pandemic. At the same time, China had a negative impact, highlighting heightened sensitivity and interconnectedness during crises. Since the pandemic, Malaysia, Singapore, the US, China, and Japan emerged as key positive influencers, with other countries showing insignificance. In the short term, during the pandemic, Malaysia, Thailand, and China had a significant positive impact on Indonesia’s capital market. However, only Malaysia continued to exert a significant influence on Indonesia after the pandemic. These findings provide valuable insights into the dynamic interactions shaping Indonesia’s stock market performance amidst global economic fluctuations and crises.
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- 2024
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46. State Migration Policy: Determining Criteria of Effectiveness in the Recipient State
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M. A. Burda
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migration ,migration policy ,recipient state ,effectiveness ,criteria ,russian federation ,Political institutions and public administration (General) ,JF20-2112 - Abstract
A significant increase of migration flows directed to the Russian Federation from the PostSoviet states makes it possible to consider the modern Russian Federation as one of the main centers of migration attraction in the world, namely, the recipient state of external migration. Migration policy of the recipient state has certain features, which is due to the need to differentiate external migration into demanded and undesirable, to ensure a balance between the interests of government and society, to combine aspects of national security of the state and the personality with an economic and demographic approach to migration. Currently, there are several methods for determining the effectiveness of state migration policy developed by various international organizations, but these methods are focused on developing countries, which, as a rule, are the donor states of migration, or consider the effectiveness of individual components. For example, socio-cultural adaptation and integration of migrants into the host society. In this regard, the need to create new approaches of evaluation the set of measures realized by the state in the field of external migration in the context of the recipient state itself is actualized. Effective migration policy of the recipient state combines approaches that ensure the protection of national interests, the security of the state, society and the personality. It closes addressable the temporary needs of the national labor market, which makes it possible to formulate a number of objective criteria for its evaluation.
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- 2024
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47. Plastic response of macrophages to metal ions and nanoparticles in time mimicking metal implant body environment
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Navratilova, Polina, Emmer, Jan, Tomas, Tomas, Ryba, Ludek, Burda, Jan, Loja, Tomas, Veverkova, Jana, Valkova, Lucie, and Pavkova Goldbergova, Monika
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- 2024
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48. Precipitaion Nowcasting using Deep Neural Network
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Bakkay, Mohamed Chafik, Serrurier, Mathieu, Burda, Valentin Kivachuk, Dupuy, Florian, Cabrera-Gutierrez, Naty Citlali, Zamo, Michael, Mader, Maud-Alix, Mestre, Olivier, Oller, Guillaume, Jouhaud, Jean-Christophe, and Terray, Laurent
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence - Abstract
Precipitation nowcasting is of great importance for weather forecast users, for activities ranging from outdoor activities and sports competitions to airport traffic management. In contrast to long-term precipitation forecasts which are traditionally obtained from numerical models, precipitation nowcasting needs to be very fast. It is therefore more challenging to obtain because of this time constraint. Recently, many machine learning based methods had been proposed. We propose the use three popular deep learning models (U-net, ConvLSTM and SVG-LP) trained on two-dimensional precipitation maps for precipitation nowcasting. We proposed an algorithm for patch extraction to obtain high resolution precipitation maps. We proposed a loss function to solve the blurry image issue and to reduce the influence of zero value pixels in precipitation maps.
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- 2022
49. Investigating the potential effects of α-synuclein aggregation on susceptibility to chronic stress in a mouse Parkinson’s disease model
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Alwani, Anna, Maziarz, Katarzyna, Burda, Gabriela, Jankowska-Kiełtyka, Monika, Roman, Adam, Łyszczarz, Gabriela, Er, Safak, Barut, Justyna, Barczyk-Woźnicka, Olga, Pyza, Elżbieta, Kreiner, Grzegorz, Nalepa, Irena, and Chmielarz, Piotr
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- 2023
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50. Advances in Deep Brain Imaging with Quantum Dots: Structural, Functional, and Disease-Specific Roles
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Tenesha Connor, Hemal Weerasinghe, Justin Lathia, Clemens Burda, and Murat Yildirim
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quantum dots ,multi-photon imaging ,2-photon microscopy ,3-photon microscopy ,fluorophores ,deep brain imaging ,Applied optics. Photonics ,TA1501-1820 - Abstract
Quantum dots (QDs) have emerged as promising tools in advancing multiphoton microscopy (MPM) for deep brain imaging, addressing long-standing challenges in resolution, penetration depth, and light–tissue interactions. MPM, which relies on nonlinear photon absorption, enables fluorescence imaging within defined volumes, effectively reducing background noise and photobleaching. However, achieving greater depths remains limited by light scattering and absorption, compounded by the need for balanced laser power to avoid tissue damage. QDs, nanoscale semiconductor particles with unique optical properties, offer substantial advantages over traditional fluorophores, including high quantum yields, large absorption cross-sections, superior photostability, and tunable emission spectra. These properties enhance signal to background ratio at increased depths and reduce scattering effects, making QDs ideal for imaging subcortical regions like the hippocampus without extensive microscope modifications. Studies have demonstrated the capability of QDs to achieve imaging depths up to 2100 μm, far exceeding that of conventional fluorophores. Beyond structural imaging, QDs facilitate functional imaging applications, such as high-resolution tracking of hemodynamic responses and neural activity, supporting investigations of neuronal dynamics and blood flow in vivo. Their stability enables long-term, targeted drug delivery and photodynamic therapy, presenting potential therapeutic applications in treating brain tumors, Alzheimer’s disease, and traumatic brain injury. This review highlights the impact of QDs on MPM, their effectiveness in overcoming light attenuation in deep tissue, and their expanding role in diagnosing and treating neurological disorders, positioning them as transformative agents for both brain imaging and intervention.
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- 2024
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