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4,904 results on '"Wiecek, A."'

1. A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications

Author

Vangaru, Sriniketh, Rosen, Daniel, Green, Dylan, Rodriguez, Raphael, Wiecek, Maxwell, Johnson, Amos, Jones, Alyse M., and Headley, William C.

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Multiagent Systems, Computer Science - Networking and Internet Architecture
Abstract

Technological trends show that Radio Frequency Reinforcement Learning (RFRL) will play a prominent role in the wireless communication systems of the future. Applications of RFRL range from military communications jamming to enhancing WiFi networks. Before deploying algorithms for these purposes, they must be trained in a simulation environment to ensure adequate performance. For this reason, we previously created the RFRL Gym: a standardized, accessible tool for the development and testing of reinforcement learning (RL) algorithms in the wireless communications space. This environment leveraged the OpenAI Gym framework and featured customizable simulation scenarios within the RF spectrum. However, the RFRL Gym was limited to training a single RL agent per simulation; this is not ideal, as most real-world RF scenarios will contain multiple intelligent agents in cooperative, competitive, or mixed settings, which is a natural consequence of spectrum congestion. Therefore, through integration with Ray RLlib, multi-agent reinforcement learning (MARL) functionality for training and assessment has been added to the RFRL Gym, making it even more of a robust tool for RF spectrum simulation. This paper provides an overview of the updated RFRL Gym environment. In this work, the general framework of the tool is described relative to comparable existing resources, highlighting the significant additions and refactoring we have applied to the Gym. Afterward, results from testing various RF scenarios in the MARL environment and future additions are discussed., Comment: Accepted to IEEE CCNC 2025. Added revisions from paper reviews

Published
2024

3. RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications

Author

Rosen, Daniel, Rochez, Illa, McIrvin, Caleb, Lee, Joshua, D'Alessandro, Kevin, Wiecek, Max, Hoang, Nhan, Saffarini, Ramzy, Philips, Sam, Jones, Vanessa, Ivey, Will, Harris-Smart, Zavier, Harris-Smart, Zavion, Chin, Zayden, Johnson, Amos, Jones, Alyse M., and Headley, William C.

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Networking and Internet Architecture
Abstract

Radio Frequency Reinforcement Learning (RFRL) is anticipated to be a widely applicable technology in the next generation of wireless communication systems, particularly 6G and next-gen military communications. Given this, our research is focused on developing a tool to promote the development of RFRL techniques that leverage spectrum sensing. In particular, the tool was designed to address two cognitive radio applications, specifically dynamic spectrum access and jamming. In order to train and test reinforcement learning (RL) algorithms for these applications, a simulation environment is necessary to simulate the conditions that an agent will encounter within the Radio Frequency (RF) spectrum. In this paper, such an environment has been developed, herein referred to as the RFRL Gym. Through the RFRL Gym, users can design their own scenarios to model what an RL agent may encounter within the RF spectrum as well as experiment with different spectrum sensing techniques. Additionally, the RFRL Gym is a subclass of OpenAI gym, enabling the use of third-party ML/RL Libraries. We plan to open-source this codebase to enable other researchers to utilize the RFRL Gym to test their own scenarios and RL algorithms, ultimately leading to the advancement of RL research in the wireless communications domain. This paper describes in further detail the components of the Gym, results from example scenarios, and plans for future additions. Index Terms-machine learning, reinforcement learning, wireless communications, dynamic spectrum access, OpenAI gym

Published
2023
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4. Algorithm-based diagnostic application for diabetic retinopathy detection

Author

Cisek, Agnieszka, Korycinska, Karolina, Pyziak, Leszek, Malicka, Marzena, Wiecek, Tomasz, Gruzel, Grzegorz, Szmuc, Kamil, Cebulski, Jozef, and Spyra, Mariusz

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Quantitative Biology - Tissues and Organs
Abstract

Diabetic retinopathy (DR) is a growing health problem worldwide and is a leading cause of visual impairment and blindness, especially among working people aged 20-65. Its incidence is increasing along with the number of diabetes cases, and it is more common in developed countries than in developing countries. Recent research in the field of diabetic retinopathy diagnosis is using advanced technologies, such as analysis of images obtained by ophthalmoscopy. Automatic methods for analyzing eye images based on neural networks, deep learning and image analysis algorithms can improve the efficiency of diagnosis. This paper describes an automatic DR diagnosis method that includes processing and analysis of ophthalmoscopic images of the eye. It uses morphological algorithms to identify the optic disc and lesions characteristic of DR, such as microaneurysms, hemorrhages and exudates. Automated DR diagnosis has the potential to improve the efficiency of early detection of this disease and contribute to reducing the number of cases of diabetes-related visual impairment. The final step was to create an application with a graphical user interface that allowed retinal images taken at cooperating ophthalmology offices to be uploaded to the server. These images were then analyzed using a developed algorithm to make a diagnosis., Comment: 18 pages, 9 figures, preprint

Published
2023

8. Association of urinary EGF, FABP3, and VCAM1 levels with the progression of early diabetic kidney disease

Author

Felix Keller, Sara Denicolò, Johannes Leierer, Maren Kruus, Andreas Heinzel, Michael Kammer, Wenjun Ju, Viji Nair, Frederic Burdet, Mark Ibberson, Rajasree Menon, Edgar Otto, Ye Ji Choi, Laura Pyle, Patricia Ladd, Petter M. Bjornstad, Susanne Eder, Laszlo Rosivall, Patrick Barry Mark, Andrzej Wiecek, Hiddo J. Lamber Heerspink, Matthias Kretzler, Rainer Oberbauer, Gert Mayer, and Paul Perco

Subjects
Dermatology, RL1-803, Diseases of the circulatory (Cardiovascular) system, RC666-701, Diseases of the genitourinary system. Urology, RC870-923
Abstract

Introduction Diabetic kidney disease (DKD) is a common cause of chronic kidney disease with around 25-40% of patients with diabetes being affected. The course of DKD is variable and estimated glomerular filtration rate (eGFR) and albuminuria, the currently used clinical markers, are not able to accurately predict the individual disease trajectory, in particular in early stages of the disease. The aim of this study was to assess the association of urine levels of selected protein biomarkers with the progression of DKD at an early stage of disease. Methods We measured 22 protein biomarkers using the Mesoscale Discovery platform in 461 urine samples of the PROVALID cohort, an observational study of patients with type 2 diabetes mellitus followed at the primary health care level for a minimum of four years. Odds ratios (OR) were estimated for the effect of marker values above median on fast progression using unadjusted and adjusted logistic regression models. RNA expression at the single cell level in kidney biopsy samples obtained from a cohort of young persons with type 2 diabetes mellitus was in addition determined for markers showing significant associations with disease progression. Results Increased urinary levels of epidermal growth factor (EGF) were linked to lower odds of fast progression (defined as annual eGFR decline greater than 2.58 ml/min per 1.73 m2) with an odds ratio (OR) of 0.60 (95% CI 0.46, 0.78). The association with outcome was even stronger when adjusting for a set of 14 baseline clinical parameters including age, biological sex, eGFR, body mass index, albuminuria, and HbA1c. Elevated urinary levels of fatty acid binding protein 3 (FABP3) and vascular cell adhesion molecule 1 (VCAM1) were each significantly associated with fast progression with an OR of 1.44 (95% CI 1.11, 1.87) and an OR of 1.41 (95% CI 1.08, 1.83), respectively. Enriched expression of EGF and FABP3 was observed in distal convoluted tubular cells and VCAM1 in parietal epithelial cells at single cell level from biopsies of patients with early DKD. Conclusion In summary we show that lower urinary levels of EGF and higher urinary levels of FABP3 and VCAM1 are significantly associated with DKD progression in early-stage disease.

Published
2024
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9. A new era in the science and care of kidney diseases

Author

Zoccali, Carmine, Mallamaci, Francesca, Lightstone, Liz, Jha, Vivek, Pollock, Carol, Tuttle, Katherine, Kotanko, Peter, Wiecek, Andrzej, Anders, Hans Joachim, Remuzzi, Giuseppe, Kalantar-Zadeh, Kamyar, Levin, Adeera, and Vanholder, Raymond

Published
2024
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11. Formulation and analysis of a Schur complement method for fluid-structure interaction

Author

de Castro, Amy, Lee, Hyesuk, and Wiecek, Margaret M.

Subjects
Mathematics - Numerical Analysis, 65M55, 65M60
Abstract

This work presents a strongly coupled partitioned method for fluid-structure interaction (FSI) problems based on a monolithic formulation of the system which employs a Lagrange multiplier. We prove that both the semi-discrete and fully discrete formulations are well-posed. To derive a partitioned scheme, a Schur complement equation, which implicitly expresses the Lagrange multiplier and the fluid pressure in terms of the fluid velocity and structural displacement, is constructed based on the monolithic FSI system. Solving the Schur complement system at each time step allows for the decoupling of the fluid and structure subproblems, making the method non-iterative between subdomains. We investigate bounds for the condition number of the Schur complement matrix and present initial numerical results to demonstrate the performance of our approach, which attains the expected convergence rates., Comment: 27 pages, 4 figures

Published
2023

12. Multiple-Population Discrete-Time Mean Field Games with Discounted and Total Payoffs: The Existence of Equilibria

Author

Więcek, Piotr

Subjects
Mathematics - Optimization and Control, 91A15, 91A13, 91A10
Abstract

In the paper we present a model of discrete-time mean-field game with several populations of players. Mean-field games with multiple populations of the players have only been studied in the literature in the continuous-time setting. The main results of this article are the first stationary and Markov mean-field equilibrium existence theorems for discrete-time mean-field games of this type. We consider two payoff criteria: discounted payoff and total payoff. The results are provided under some rather general assumptions on one-step reward functions and individual transition kernels of the players. In addition, the results for total payoff case, when applied to a single population, extend the theory of mean-field games also by relaxing some strong assumptions used in the existing literature.

Published
2023

13. Asymptotic pairs in topological actions of amenable groups

Author

Downarowicz, Tomasz and Więcek, Mateusz

Subjects
Mathematics - Dynamical Systems, Primary: 37B40, 37A35, Secondary: 43A07
Abstract

We provide a definition of a $\prec$-asymptotic pair in a topological action of a countable group $G$, where $\prec$ is an order on $G$ of type $\mathbb Z$. We then prove that if $G$ is a countable amenable group and $(X,G)$ is a topological $G$-action of positive entropy, then for every multiorder $(\tilde{\mathcal O},\nu,G)$ and $\nu$-almost every order $\prec\,\in\tilde{\mathcal O}$ there exists a $\prec$-asympotic pair in $X$. This result is a generalization of the Blanchard-Host-Ruette Theorem for classical topological dynamical systems (actions of~$\mathbb Z$). We also prove that for every countable amenable group $G$, and every multiorder on $G$ arising from a tiling system, every topological $G$-action of entropy zero has an extension which has no $\prec$-asymptotic pairs for any $\prec$ belonging to this multiorder. Together, these two theorems give a characterization of topological $G$-actions of entropy zero: $(X,G)$ has topological entropy zero if and only if, for any multiorder $\tilde{\mathcal O}_{\boldsymbol{\mathsf T}}$ on $G$ arising from a tiling system of entropy zero, there exists an extension $(Y,G)$ of $(X,G)$, which has no $\prec$-asymptotic pairs for any $\prec\,\in\tilde{\mathcal O}_{\boldsymbol{\mathsf T}}$, equivalently, there exists a multiorder $(\tilde{\mathcal O},\nu,G)$ on $G$, such that for $\nu$-almost any $\prec\,\in\tilde{\mathcal O}$, there are no $\prec$-asymptotic pairs in $(Y,G)$., Comment: 20 pages

Published
2023

14. Evaluation of dormancy states in cancer and associated therapeutic opportunities

Author

Wiecek, Anna Julia

Abstract

Tumour mass dormancy and cancer cell quiescence represent the two facets of cancer dormancy and play key roles in cancer development and progression. Quiescence describes the reversible, proliferative arrest of individual cancer cells that has been observed as a contributing factor of resistance to chemotherapy and other treatments targeting cycling cells. In contrast, tumour mass dormancy describes the state of no net tumour growth, which can arise due to inadequate tumour vascularisation or anti- tumour immune response, during which tumours can acquire additional mutations and establish a microenvironment permissive for growth. Currently, both dormancy states remain poorly characterised. This thesis presents computational frameworks for evaluating the two states and comprehensively profiles their abundance and associated genomic and cellular features across 31 solid cancers from the Cancer Genome Atlas. Using machine learning approaches, I demonstrate that cancer cell quiescence preferentially arises in less mutated tumours with intact TP53 and DNA damage repair pathways. I also highlight novel genomic dependencies, such as CEP89 amplification, which drive an impairment of quiescence. Similarly, mutations within CASP8 and HRAS oncogenes are shown to be enriched and positively selected in samples with tumour mass dormancy. I also highlight an association between APOBEC mutagenesis and both dormancy states. Moreover, tumour mass dormancy is shown to be associated with infiltration with macrophages and cytotoxic and regulatory T cells but a decreased infiltration with Th17 cells. Lastly, using single-cell data, I demonstrate that quiescence underlies resistance to a wide range of therapies, including treatments targeting cell cycle regulation, proliferative kinase signalling and epigenetic regulation. Ultimately, this analysis sheds light on the underlying biology of cancer dormancy states, potentially highlighting vulnerabilities that can be targeted in the clinic. It also provides a transcriptional signature of therapy-tolerant quiescent cells that could be explored further in the clinic to monitor patient therapy response.

Published
2023

15. Numerical Simulation of Solidification Process for Biological Colloids

Author

Pawłowski, Michał, Kopernik, Magdalena, Więcek, Justyna, Major, Roman, Lovell, Nigel H., Advisory Editor, Oneto, Luca, Advisory Editor, Piotto, Stefano, Advisory Editor, Rossi, Federico, Advisory Editor, Samsonovich, Alexei V., Advisory Editor, Babiloni, Fabio, Advisory Editor, Liwo, Adam, Advisory Editor, Magjarevic, Ratko, Advisory Editor, Wittek, Adam, editor, Kobielarz, Magdalena, editor, Babu, Anju R., editor, Nash, Martyn P., editor, Nielsen, Poul M. F., editor, and Miller, Karol, editor

Published
2024
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16. Multifunctional Printhead of a 3D Printer Allowing for Real-Time Quality Control for Manufactured Parts

Author

Bryła, Jakub, Tuptoński, Jan, Więcek, Krzysztof, Bogacz, Maciej, Martowicz, Adam, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Martowicz, Adam, editor, Mańka, Michał, editor, and Mendrok, Krzysztof, editor

Published
2024
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17. The Role of Throughput Accounting in Making Decision in Small Batch Production Environment

Author

Więcek, Dorota, Plinta, Dariusz, Radwan, Katarzyna, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Burduk, Anna, editor, Batako, Andre D. L., editor, Machado, José, editor, Wyczółkowski, Ryszrad, editor, Dostatni, Ewa, editor, and Rojek, Izabela, editor

Published
2024
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18. Subthreshold rejection activity in many kidney transplants currently classified as having no rejection

Author

Halloran, Philip F., Madill-Thomsen, Katelynn S., Böhmig, Georg, Bromberg, Jonathan, Budde, Klemens, Barner, Meagan, Mackova, Martina, Chang, Jessica, Einecke, Gunilla, Eskandary, Farsad, Gupta, Gaurav, Myślak, Marek, Viklicky, Ondrej, Akalin, Enver, Alhamad, Tarek, Anand, Sanjiv, Arnol, Miha, Baliga, Rajendra, Banasik, Mirosław, Bingaman, Adam, Blosser, Christopher D., Brennan, Daniel, Chamienia, Andrzej, Chow, Kevin, Ciszek, Michał, de Freitas, Declan, Dęborska-Materkowska, Dominika, Debska-Ślizień, Alicja, Djamali, Arjang, Domański, Leszek, Durlik, Magdalena, Fatica, Richard, Francis, Iman, Fryc, Justyna, Gill, John, Gill, Jagbir, Glyda, Maciej, Gourishankar, Sita, Grenda, Ryszard, Gryczman, Marta, Hruba, Petra, Hughes, Peter, Jittirat, Arskarapurk, Jurekovic, Zeljka, Kamal, Layla, Kamel, Mahmoud, Kant, Sam, Kasiske, Bertram, Kojc, Nika, Konopa, Joanna, Lan, James, Mannon, Roslyn, Matas, Arthur, Mazurkiewicz, Joanna, Miglinas, Marius, Müller, Thomas, Narins, Seth, Naumnik, Beata, Patel, Anita, Perkowska-Ptasińska, Agnieszka, Picton, Michael, Piecha, Grzegorz, Poggio, Emilio, Bloudíčkova, Silvie Rajnochová, Samaniego-Picota, Milagros, Schachtner, Thomas, Shin, Sung, Shojai, Soroush, Sikosana, Majid L.N., Slatinská, Janka, Smykal-Jankowiak, Katarzyna, Solanki, Ashish, Veceric Haler, Željka, Vucur, Ksenija, Weir, Matthew R., Wiecek, Andrzej, Włodarczyk, Zbigniew, Yang, Harold, and Zaky, Ziad

Published
2025
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19. FEAT: Fair Coordinated Iterative Water-Filling Algorithm

Author

Haddad, Majed, Wiecek, Piotr, Habachi, Oussama, Perlaza, Samir M., and Shah, Shahid M.

Subjects
Computer Science - Information Theory, Computer Science - Computer Science and Game Theory
Abstract

In this paper, we consider a perfect coordinated water-filling game, where each user transmits solely on a given carrier. The main goal of the proposed algorithm (which we call FEAT) is to get close to the optimal, while keeping a decent level of fairness. The key idea within FEAT is to minimize the ratio between the best and the worst utilities of the users. This is done by ensuring that, at each iteration (channel assignment), a user is satisfied with this assignment as long as he does not loose much more than other users in the system. It has been shown that FEAT outperforms most related algorithms in many aspects, especially in interference-limited systems. Indeed, with FEAT we can ensure a near-optimal, fair and energy efficient solution with low computational complexity. In terms of robustness, it turns out that the balance between being nearly globally optimal and good from individual point of view seems hard to sustain with a significant number of users. Also notice that, in this regard, global optimality gets less affected than the individual one, which offers hope that such an accurate water-filling algorithm can be designed around competition in interference-limited systems., Comment: 27 PAGES, 14 FIGURES

Published
2022

20. Genomic hallmarks and therapeutic implications of G0 cell cycle arrest in cancer

Author

Wiecek, Anna J, Cutty, Stephen J, Kornai, Daniel, Parreno-Centeno, Mario, Gourmet, Lucie E, Tagliazucchi, Guidantonio Malagoli, Jacobson, Daniel H, Zhang, Ping, Xiong, Lingyun, Bond, Gareth L, Barr, Alexis R, and Secrier, Maria

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Biotechnology, Rare Diseases, Cancer, 2.1 Biological and endogenous factors, Aetiology, Humans, Genomics, Cell Cycle Checkpoints, Neoplasms, Cell Cycle, Mutagenesis, Cell cycle arrest, G0, Persister cells, Genomic dependencies, Machine learning, Data integration, Bulk, single-cell sequencing, Bulk/single-cell sequencing, Environmental Sciences, Information and Computing Sciences, Bioinformatics
Abstract

BackgroundTherapy resistance in cancer is often driven by a subpopulation of cells that are temporarily arrested in a non-proliferative G0 state, which is difficult to capture and whose mutational drivers remain largely unknown.ResultsWe develop methodology to robustly identify this state from transcriptomic signals and characterise its prevalence and genomic constraints in solid primary tumours. We show that G0 arrest preferentially emerges in the context of more stable, less mutated genomes which maintain TP53 integrity and lack the hallmarks of DNA damage repair deficiency, while presenting increased APOBEC mutagenesis. We employ machine learning to uncover novel genomic dependencies of this process and validate the role of the centrosomal gene CEP89 as a modulator of proliferation and G0 arrest capacity. Lastly, we demonstrate that G0 arrest underlies unfavourable responses to various therapies exploiting cell cycle, kinase signalling and epigenetic mechanisms in single-cell data.ConclusionsWe propose a G0 arrest transcriptional signature that is linked with therapeutic resistance and can be used to further study and clinically track this state.

Published
2023

21. Worldwide trends in diabetes prevalence and treatment from 1990 to 2022: a pooled analysis of 1108 population-representative studies with 141 million participants

Author

Zhou, Bin, Rayner, Archie W, Gregg, Edward W, Sheffer, Kate E, Carrillo-Larco, Rodrigo M, Bennett, James E, Shaw, Jonathan E, Paciorek, Christopher J, Singleton, Rosie K, Barradas Pires, Ana, Stevens, Gretchen A, Danaei, Goodarz, Lhoste, Victor PF, Phelps, Nowell H, Heap, Rachel A, Jain, Lakshya, D'Ailhaud De Brisis, Yse, Galeazzi, Agnese, Kengne, Andre P, Mishra, Anu, Ikeda, Nayu, Lin, Hsien-Ho, Aguilar-Salinas, Carlos A, Anjana, Ranjit Mohan, Ben Romdhane, Habiba, Davletov, Kairat, Ganapathy, Shubash, Heidemann, Christin, Khader, Yousef Saleh, Khang, Young-Ho, Laxmaiah, Avula, Mbanya, Jean Claude N, Mohan, Viswanathan, Narayan, KM Venkat, Pavkov, Meda E, Sobngwi, Eugène, Wade, Alisha N, Younger-Coleman, Novie O, Zdrojewski, Tomasz, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdul Rahim, Hanan F, Abu-Rmeileh, Niveen M, Adambekov, Shalkar, Adams, Robert J, Aekplakorn, Wichai, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Agyemang, Charles, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Soheir H, Ahrens, Wolfgang, Ajlouni, Kamel, Al-Hamli, Sarah F, Al-Hinai, Halima, Al-Lawati, Jawad A, Al Asfoor, Deena, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Ali, Mohammed K, Alieva, Anna V, Alinezhad, Farbod, Alkandari, Abdullah, Alkerwi, Ala'a, Aly, Eman, Amarapurkar, Deepak N, Andersen, Lars Bo, Anderssen, Sigmund A, Andrade, Dolores S, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araújo, Joana, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assembekov, Batyrbek, Au Yeung, Shiu Lun, Auvinen, Juha, Avdičová, Mária, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Bacopoulou, Flora, Balakrishna, Nagalla, Balanova, Yulia, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, José R, Barbagallo, Carlo M, Barcelo, Alberto, Baretić, Maja, Barrera, Lena, Barreto, Marta, Basit, Abdul, Batieha, Anwar M, Batista, Aline P, Baur, Louise A, Belavendra, Antonisamy, Benedek, Theodora, Benet, Mikhail, Benzeval, Michaela, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Berrios Carrasola, Ximena, Bettiol, Heloísa, Beybey, Augustin F, Bhargava, Santosh K, Bi, Yufang, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bobak, Martin, Boehm, Bernhard O, Boggia, Jose G, Boissonnet, Carlos P, Bojesen, Stig E, Bonaccio, Marialaura, Bonilla-Vargas, Alice, Borghs, Herman, Botomba, Steve, Bovet, Pascal, Brajkovich, Imperia, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Briceño, Yajaira, Brito, Miguel, Bueno, Gloria, Bugge, Anna, Buntinx, Frank, Cabrera de León, Antonio, Caixeta, Roberta B, Can, Günay, Cândido, Ana Paula C, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardoso, Viviane C, Carlsson, Axel C, Casanueva, Felipe F, Censi, Laura, Cervantes–Loaiza, Marvin, Chadjigeorgiou, Charalambos A, Chamnan, Parinya, Chamukuttan, Snehalatha, Chan, Queenie, Charchar, Fadi J, Chaturvedi, Nish, Chen, Chien-Jen, Chen, Huashuai, Chen, Long-Sheng, Cheng, Ching-Yu, Cheraghian, Bahman, Chetrit, Angela, Chiou, Shu-Ti, Chirlaque, María-Dolores, Chudek, Jerzy, Cifkova, Renata, Cirillo, Massimo, Claessens, Frank, Clarke, Janine, Cohen, Emmanuel, Concin, Hans, Cooper, Cyrus, Cosmin, Cojocaru R, Costanzo, Simona, Cowan, Melanie J, Cowell, Chris, Crampin, Amelia C, Crujeiras, Ana B, Cruz, Juan J, Cureau, Felipe V, Cuschieri, Sarah, D'Arrigo, Graziella, d'Orsi, Eleonora, da Silva-Ferreira, Haroldo, Dallongeville, Jean, Damasceno, Albertino, Dankner, Rachel, Dastgiri, Saeed, Dauchet, Luc, De Curtis, Amalia, de Gaetano, Giovanni, De Henauw, Stefaan, De Ridder, David, Deepa, Mohan, DeGennaro, Vincent Jr, Demarest, Stefaan, Dennison, Elaine, Deschamps, Valérie, Dhimal, Meghnath, Dika, Zivka, Djalalinia, Shirin, Donfrancesco, Chiara, Dorobantu, Maria, Dragano, Nico, Drygas, Wojciech, Du, Shufa, Du, Yong, Duante, Charmaine A, Duboz, Priscilla, Duda, Rosemary B, Dushpanova, Anar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Ebrahimi, Narges, Eddie, Ricky, Eftekhar, Ebrahim, Efthymiou, Vasiliki, Egbagbe, Eruke E, Eggertsen, Robert, Eghtesad, Sareh, Ejembi, Clara Ladi, El-Khateeb, Mohammad, El Ati, Jalila, Eldemire-Shearer, Denise, Elosua, Roberto, Enang, Ofem, Erasmus, Rajiv T, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G, Esmaeili, Ali, Evans, Roger G, Fagherazzi, Guy, Fahimfar, Noushin, Fakhradiyev, Ildar, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Farzadfar, Farshad, Farzi, Yosef, Fattahi, Mohammad Reza, Fawwad, Asher, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernández-Bergés, Daniel, Fernando, Desha R, Ferrao, Thomas, Ferrari, Marika, Ferrario, Marco M, Ferreccio, Catterina, Ferrer, Eldridge, Feskens, Edith JM, Fink, Günther, Flood, David, Forsner, Maria, Fosse-Edorh, Sandrine, Fottrell, Edward F, Fouad, Heba M, Francis, Damian K, Frontera, Guillermo, Fujiati, Isti I, Fumihiko, Matsuda, Furusawa, Takuro, Gaciong, Zbigniew, Galvano, Fabio, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gazzinelli, Andrea, Gehring, Ulrike, Ghaderi, Ebrahim, Ghamari, Seyyed-Hadi, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Ghimire, Anup, Gialluisi, Alessandro, Giampaoli, Simona, Gianfagna, Francesco, Gill, Tiffany K, Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Goldberg, Marcel, Goltzman, David, Gomula, Aleksandra, Gonçalves, Helen, Gonçalves, Mauer, Gonzalez-Chica, David A, Gonzalez-Gross, Marcela, González-Rivas, Juan P, Gonzalez, Angel R, Goto, Atsushi, Gottrand, Frederic, Grafnetter, Dušan, Grammatikopoulou, Maria G, Grant, Andriene, Grimsgaard, Anne Sameline, Grodzicki, Tomasz, Grøntved, Anders, Grosso, Giuseppe, Gu, Dongfeng, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Gujral, Unjali P, Gupta, 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2024
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26. General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants

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Zhou, Bin, Bennett, James E, Wickham, Aidan P, Singleton, Rosie K, Mishra, Anu, Carrillo-Larco, Rodrigo M, Ikeda, Nayu, Jain, Lakshya, Barradas-Pires, Ana, Heap, Rachel A, Lhoste, Victor PF, Sheffer, Kate E, Phelps, Nowell H, Rayner, Archie W, Gregg, Edward W, Woodward, Mark, Stevens, Gretchen A, Iurilli, Maria LC, Danaei, Goodarz, Di Cesare, Mariachiara, Aguilar-Salinas, Carlos A, Ahmad, Noor Ani, Bovet, Pascal, Chen, Zhengming, Damasceno, Albertino, Filippi, Sarah L, Janszky, Imre, Kengne, Andre P, Khang, Young-Ho, Khunti, Kamlesh, Laxmaiah, Avula, Lim, Lee-Ling, Lissner, Lauren, Margozzini, Paula, Mbanya, Jean Claude N, McGarvey, Stephen T, Shaw, Jonathan E, Söderberg, Stefan, Soto-Mota, Luis Adrián, Wang, Junyang, Zaccardi, Francesco, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Aekplakorn, Wichai, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkhatib, Buthaina M, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amougou, Norbert, Andersen, Lars Bo, Anderssen, Sigmund A, Androutsos, Odysseas, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Assah, Felix K, Assembekov, Batyrbek, Assunção, Maria Cecília F, Auvinen, Juha, Avdičová, Mária, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Bacopoulou, Flora, Bahijri, Suhad, Bajramovic, Izet, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, José R, Baran, Rafał, Barbagallo, Carlo M, Barbosa Filho, Valter, Barceló, Alberto, Baretić, Maja, Barnoya, Joaquin, Barrera, Lena, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Basit, Abdul, Bastos, Joao Luiz, Batieha, Anwar M, Batista, Aline P, Batista, Rosangela L, Battakova, Zhamilya, Baur, Louise A, Bayauli, Pascal M, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedek, Theodora, Benedics, Judith, Benet, Mikhail, Benitez Rolandi, Gilda Estela, Benzeval, Michaela, Bere, Elling, Berger, Nicolas, Bergh, Ingunn Holden, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bettiol, Heloísa, Beybey, Augustin F, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bhargava, Santosh K, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, 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Sabine, Schmidt, Amand Floriaan, Schmidt, Börge, Schmidt, Carsten O, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schutte, Aletta E, Sebert, Sylvain, Sedaghattalab, Moslem, Sein, Aye Aye, Sen, Abhijit, Sepanlou, Sadaf G, Sequera, Guillermo, Ševčíková, Ľudmila, Sewpaul, Ronel, Shamah-Levy, Teresa, Shamshirgaran, Seyed Morteza, Sharafkhah, Maryam, Sharma, Sanjib K, Sharman, Almaz, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shiri, Rahman, Shoranov, Marat, Shrestha, Namuna, Si-Ramlee, Khairil, Sibai, Abla M, Sidossis, Labros S, Silva, Antonio M, Silva, Caroline Ramos de Moura, Silva, Diego Augusto Santos, Silva, Kelly Samara, Sim, Xueling, Simon, Mary, Sjöström, Michael, Skoblina, Natalia A, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemysław, Smeeth, Liam, Smith, Lee, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Soemantri, Agustinus, Solfrizzi, Vincenzo, Somi, 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Marjolein, Viswanathan, Bharathi, Vladulescu, Mihaela, Völzke, Henry, Voutilainen, Ari, Vrijheid, Martine, Wade, Alisha N, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Chongjian, Wang, Huijun, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wartha, Olivia, Weber, Adelheid, Webster-Kerr, Karen, Wedderkopp, Niels, Weghuber, Daniel, Wei, Wenbin, Westbury, Leo, Whincup, Peter H, Wickramasinghe, Kremlin, Widhalm, Kurt, Widyahening, Indah S, Więcek, Andrzej, Wilks, Rainford J, Willeit, Karin, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Emily B, Wu, Frederick C, Wyszyńska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Li, Yan, Weili, Yang, Yang, Yépez García, Martha, Yoosefi, Moein, Yoshihara, Akihiro, Younger-Coleman, Novie O, Yu, Yu-Ling, Yu, Yunjiang, Yusoff, Ahmad Faudzi, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zapata, Maria Elisa, Zaw, Ko Ko, Zdrojewski, Tomasz, Żegleń, Magdalena, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zhang, Bing, Zhang, Zhen-Yu, Zhecheva, Yanitsa V, Zholdin, Bekbolat, Zimmet, Paul, Zins, Marie, Zuñiga Cisneros, Julio, Zuziak, Monika, and Ezzati, Majid

Published
2024
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29. Pre-exercise cryotherapy reduces myoglobin and creatine kinase levels after eccentric muscle stress in young women

Author

Justyna Kusmierczyk, Magdalena Wiecek, Marek Bawelski, Zbigniew Szygula, Katarzyna Rafa-Zablocka, Malgorzata Kantorowicz, and Jadwiga Szymura

Subjects
whole-body cryotherapy, eccentric works, muscle damage, myoglobin, creatine kinase, Physiology, QP1-981
Abstract

Introduction: The aim of this study was to investigate the effect of pre-exercise whole-body cryotherapy (WBC) on muscle damage indicators following eccentric treadmill exercise in young women.Methods: Twenty-seven participants underwent two 1-h downhill treadmill runs, replicating 60% of their maximal oxygen uptake, with a 4-week intermission for recovery and treatment application. In this intermission, one group underwent 20 sessions of WBC, delivered five times a week at −120°C for 3 min each, while the comparison group received no such treatment. Markers of muscle injury—serum myoglobin concentration, creatine kinase and lactate dehydrogenase activity and also uric acid, and cell-free DNA concentration—were measured before and after downhill runs.Results: The study observed a notable reduction in post-exercise myoglobin and CK levels in the WBC group after the second running session.Discussion: The results suggest that WBC can have a protective effects against muscle damage resulting from eccentric exercise.

Published
2024
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31. Existence of asymptotic pairs in positive entropy group actions

Author

Więcek, Mateusz

Subjects
Mathematics - Dynamical Systems, Primary 37B40, 37A35, Secondary 43A07
Abstract

We provide a definition of a $\prec$-asymptotic pair in a topological action of a countable amenable group $G$, where $\prec$ is an order on $G$ of type $\mathbb Z$. We then prove that if $(\tilde{\mathcal O},\nu,G)$ is a multiorder on $G$, then for every topological $G$-action of positive entropy there exists an $\prec$-asympotic pair for almost every order $\prec\,\in\tilde{\mathcal O}$. This result is a generalization of the Blanchard-Host-Ruette Theorem for classical topological dynamical systems (actions of $\mathbb Z$)., Comment: The content of the work with necessary corrections was included in a more extensive article: Asymptotic pairs in topological actions of amenable groups (arXiv:2303.12923)

Published
2021

32. Automatic digital twin data model generation of building energy systems from piping and instrumentation diagrams

Author

Stinner, Florian, Wiecek, Martin, Baranski, Marc, Kümpel, Alexander, and Müller, Dirk

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Buildings directly and indirectly emit a large share of current CO2 emissions. There is a high potential for CO2 savings through modern control methods in building automation systems (BAS) like model predictive control (MPC). For a proper control, MPC needs mathematical models to predict the future behavior of the controlled system. For this purpose, digital twins of the building can be used. However, with current methods in existing buildings, a digital twin set up is usually labor-intensive. Especially connecting the different components of the technical system to an overall digital twin of the building is time-consuming. Piping and instrument diagrams (P&ID) can provide the needed information, but it is necessary to extract the information and provide it in a standardized format to process it further. In this work, we present an approach to recognize symbols and connections of P&ID from buildings in a completely automated way. There are various standards for graphical representation of symbols in P&ID of building energy systems. Therefore, we use different data sources and standards to generate a holistic training data set. We apply algorithms for symbol recognition, line recognition and derivation of connections to the data sets. Furthermore, the result is exported to a format that provides semantics of building energy systems. The symbol recognition, line recognition and connection recognition show good results with an average precision of 93.7%, which can be used in further processes like control generation, (distributed) model predictive control or fault detection. Nevertheless, the approach needs further research.

Published
2021

33. Multiorders in amenable group actions

Author

Downarowicz, Tomasz, Oprocha, Piotr, Więcek, Mateusz, and Zhang, Guohua

Subjects
Mathematics - Dynamical Systems, 37A15, 37A35 (Primary), 43A07 (Secondary)
Abstract

The paper offers a thorough study of multiorders and their applications to measure-preserving actions of countable amenable groups. By a~{\em multiorder} on a~countable group we mean any probability measure $\nu$ on the collection $\tilde{\mathcal{O}}$ of linear orders of type $\mathbb Z$ on $G$, invariant under the natural action of $G$ on such orders. Every free measure-preserving $G$-action $(X,\mu,G)$ has a~multiorder $(\tilde{\mathcal{O}},\nu,G)$ as a factor and has the same orbits as the $\mathbb Z$-action $(X,\mu,S)$, where $S$ is the \emph{successor map} determined by the multiorder factor. Moreover, the sub-sigma-algebra $\Sigma_{\tilde{\mathcal{O}}}$ associated with the multiorder factor is invariant under $S$, which makes the corresponding $\mathbb Z$-action $(\tilde{\mathcal{O}},\nu,\tilde S)$ a factor of $(X,\mu,S)$. We prove that the entropy of any $G$-process generated by a finite partition of $X$, conditional with respect to $\Sigma_{\tilde{\mathcal{O}}}$, is preserved by the orbit equivalence with $(X,\mu,S)$. Furthermore, this entropy can be computed in terms of the so-called random past, by a formula analogous to $ h(\mu,T,\mathcal P)=H(\mu,\mathcal P|\mathcal{P}^-)$ known for $\mathbb Z$-actions. The above fact is then applied to prove a variant of a result by Rudolph and Weiss. The original theorem states that orbit equivalence between free actions of countable amenable groups preserves conditional entropy with respect to a~sub-sigma-algebra $\Sigma$, as soon as the ``orbit change'' is measurable with respect to $\Sigma$. In our variant, we replace the measurability assumption by a~simpler one: $\Sigma$ should be invariant under both actions and the actions on the resulting factor should be free. In conclusion we provide a characterization of the Pinsker sigma-algebra of any $G$-process in terms of an appropriately defined remote past arising from a multiorder., Comment: 36 pages, 2 figures, Changes: slightly changed formulation and proof of Theorem 7.4, some remarks added

Published
2021

35. Evidence from the large VALIGA cohort validates the subclassification of focal segmental glomerulosclerosis in IgA nephropathy

Author

Coppo, R., Feehaly, J., Troyanov, S., Cattran, D.C., Cook, H.T., Roberts, I., Radcliffe, John, Russo, M.L., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Papagianni, K., Stangou, M., Giacchino, F., Goumenos, D., Papasotirious, M., Kalliakmani, P., Gerolymos, M., Galesic, K., Toric, L., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Kloster Smerud, H., Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Boria Grinyo, J.M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Roszkowska-Blaim, M., Hryszko, T., Klinger, M., Kamińska, D., Krajewska, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Cambier, A., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Diomedi-Casadei, F., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., Royal, V., Bellur, Shubha S., Troyanov, Stéphan, Vorobyeva, Olga, Coppo, Rosanna, and Roberts, Ian S.D.

Published
2024
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36. Enterobacterales carrying chromosomal AmpC β-lactamases in Europe (EuESCPM): Epidemiology and antimicrobial resistance burden from a cohort of 27 hospitals, 2020–2022

Author

Boattini, Matteo, Bianco, Gabriele, Llorente, Laura Iglesias, Acero, Laura Alonso, Nunes, Daniel, Seruca, Miguel, Mendes, Vasco Santos, Almeida, André, Bastos, Paulo, Rodríguez-Villodres, Ángel, Gascón, Adelina Gimeno, Halperin, Ana Verónica, Cantón, Rafael, Escartín, Maria Nieves Larrosa, González-López, Juan José, Floch, Pauline, Massip, Clémence, Chainier, Delphine, Barraud, Olivier, Dortet, Laurent, Cuzon, Gaëlle, Zancanaro, Clément, Mizrahi, Assaf, Schade, Rogier, Rasmussen, Asger Nellemann, Schønning, Kristian, Hamprecht, Axel, Schaffarczyk, Lukas, Glöckner, Stefan, Rödel, Jürgen, Kristóf, Katalin, Balonyi, Ágnes, Mancini, Stefano, Quiblier, Chantal, Fasciana, Teresa, Giammanco, Anna, Paglietti, Bianca, Rubino, Salvatore, Budimir, Ana, Bedenić, Branka, Rubic, Zana, Marinović, Jelena, Gartzonika, Konstantina, Christaki, Eirini, Mavromanolaki, Viktoria Eirini, Maraki, Sofia, Yalçın, Tuğba Yanık, Azap, Özlem Kurt, Licker, Monica, Musuroi, Corina, Talapan, Daniela, Vrancianu, Corneliu Ovidiu, Comini, Sara, Zalas-Więcek, Patrycja, Michalska, Anna, Cavallo, Rossana, Melo Cristino, José, and Costa, Cristina

Published
2024
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37. Burkholder inequality by Bregman divergence

Author

Bogdan, Krzysztof and Więcek, Mateusz

Subjects
Mathematics - Probability, 60G42 (primary), 39B62 (secondary)
Abstract

We prove Burkholder inequality using Bregman divergence., Comment: We updated a reference, corrected constants c_p and C_p, and made small editorial changes. The paper will appear in the Bulletin of the Polish Academy of Sciences. Mathematics

Published
2021

38. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

Author

Phelps, Nowell H, Singleton, Rosie K, Zhou, Bin, Heap, Rachel A, Mishra, Anu, Bennett, James E, Paciorek, Christopher J, Lhoste, Victor PF, Carrillo-Larco, Rodrigo M, Stevens, Gretchen A, Rodriguez-Martinez, Andrea, Bixby, Honor, Bentham, James, Di Cesare, Mariachiara, Danaei, Goodarz, Rayner, Archie W, Barradas-Pires, Ana, Cowan, Melanie J, Savin, Stefan, Riley, Leanne M, Aguilar-Salinas, Carlos A, Baker, Jennifer L, Barkat, Amina, Bhutta, Zulfiqar A, Branca, Francesco, Caixeta, Roberta B, Cuschieri, Sarah, Farzadfar, Farshad, Ganapathy, Shubash, Ikeda, Nayu, Iotova, Violeta, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Lin, Hsien-Ho, Ma, Jun, Mbanya, Jean Claude N, Miranda, J Jaime, Pradeepa, Rajendra, Rodríguez-Artalejo, Fernando, Sorić, Maroje, Turley, Maria, Wang, Limin, Webster-Kerr, Karen, Aarestrup, Julie, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdeen, Ziad A, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Abubakar Garba, Jamila, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Adams, Robert J, Adu-Afarwuah, Seth, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agbor, Valirie N, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Ågren, Åsa, Aguenaou, Hassan, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Imran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lahou, Badreya, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Al Qaoud, Nawal M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Aldwairji, Maryam A, Alexius, Sylvia, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkerwi, Ala'a, Alkhatib, Buthaina M, Allin, Kristine, Alomary, Shaker A, Alomirah, Husam F, Alshangiti, Arwa M, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amoah, John, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Androutsos, Odysseas, Ängquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Assefa, Nega, Aspelund, Thor, Assah, Felix K, Assembekov, Batyrbek, Assunção, Maria Cecília F, Aung, May Soe, Aurélio de Valois, Correia Júnior Marco, Auvinen, Juha, Avdičová, Mária, Avi, Shina, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Babu, Bontha V, Bacopoulou, Flora, Bæksgaard Jørgensen, Maja, Baharudin, Azli, Bahijri, Suhad, Bajramovic, Izet, Bakacs, Marta, Balakrishna, Nagalla, Balanova, Yulia, Bamoshmoosh, Mohamed, Banach, Maciej, Banegas, José R, Baran, Joanna, Baran, Rafał, Barbagallo, Carlo M, Barbosa Filho, Valter, Barceló, Alberto, Baretić, Maja, Barnoya, Joaquin, Barrera, Lena, Barreto, Marta, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Bartosiewicz, Anna, Basit, Abdul, Bastos, Joao Luiz, Bata, Iqbal, Batieha, Anwar M, Batista, Aline P, Batista, Rosangela L, Battakova, Zhamilya, Baur, Louise A, Bayauli, Pascal M, Beaglehole, Robert, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedek, Theodora, Benedics, Judith, Benet, Mikhail, Benitez Rolandi, Gilda Estela, Benzeval, Michaela, Bere, Elling, Berger, Nicolas, Bergh, Ingunn Holden, Berhane, Yemane, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Berrios Carrasola, Ximena, Bettiol, Heloísa, Beutel, Manfred E, Beybey, Augustin F, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K, Bi, Hongsheng, Bi, Yufang, Bia, Daniel, Biasch, Katia, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Anne A, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Blychfeld Magnazu, Moran, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boer, Jolanda MA, Boggia, Jose G, Bogova, Elena, Boissonnet, Carlos P, Bojesen, Stig E, Bonaccio, Marialaura, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Botomba, Steve, Bourne, Rupert RA, Bovet, Pascal, Boymatova, Khadichamo, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn CE, Braithwaite, Tasanee, Brajkovich, Imperia, Breckenkamp, Juergen, Breda, João, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Briceño, Yajaira, Brinduse, Lacramioara, Bringolf-Isler, Bettina, Brito, Miguel, Brophy, Sinead, Brug, Johannes, Bruno, Graziella, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, Cabrera de León, Antonio, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, José, Can, Günay, Cândido, Ana Paula c, Cañete, Felicia, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardol, Marloes, Cardoso, Viviane C, Carlsson, Axel C, Carmuega, Esteban, Carvalho, Joana, Casajús, José A, Casanueva, Felipe F, Casas, Maribel, Celikcan, Ertugrul, Censi, Laura, Cervantes-Loaiza, Marvin, Cesar, Juraci A, Chamnan, Parinya, Chamukuttan, Snehalatha, Chan, Angelique, Chan, Queenie, Charchar, Fadi J, Charles, Marie-Aline, Chaturvedi, Himanshu K, Chaturvedi, Nish, Che Abdul Rahim, Norsyamlina, Chee, Miao Li, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Long-Sheng, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheng, Yiling J, Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chinapaw, Mai JM, Chinnock, Anne, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Chirlaque, María-Dolores, Cho, Belong, Christensen, Kaare, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Cirillo, Massimo, Claessens, Frank, Clare, Philip, Clarke, Janine, Clays, Els, Cohen, Emmanuel, Cojocaru, Cosmin R, Colorado-Yohar, Sandra, Compañ-Gabucio, Laura-María, Concin, Hans, Confortin, Susana C, Cooper, Cyrus, Coppinger, Tara C, Corpeleijn, Eva, Cortés, Lilia Yadira, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crampin, Amelia C, Cross, Amanda J, Crujeiras, Ana B, Cruz, Juan J, Csányi, Tamás, Csilla, Semánová, Cucu, Alexandra M, Cui, Liufu, Cureau, Felipe V, Czenczek-Lewandowska, Ewelina, D'Arrigo, Graziella, d'Orsi, Eleonora, da Silva, Alanna G, Dacica, Liliana, Dahm, Christina C, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T, Dankner, Rachel, Dantoft, Thomas M, Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, de Assis Guedes de Vasconcelos, Francisco, de Assis, Maria Alice Altenburg, De Backer, Guy, De Bacquer, Dirk, De Bacquer, Jaco, de Bont, Jeroen, De Curtis, Amalia, de Fragas Hinnig, Patrícia, de Gaetano, Giovanni, De Henauw, Stefaan, De Miguel-Etayo, Pilar, De Neve, Jan-Walter, Duarte de Oliveira, Paula, De Ridder, David, De Ridder, Karin, de Rooij, Susanne R, de Sá, Ana Carolina MGN, De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D, DeGennaro, Vincent Jr, Delisle, Hélène, Delpeuch, Francis, Demarest, Stefaan, Dennison, Elaine, Dereń, Katarzyna, Deschamps, Valérie, Devrishov, Ruslan D, Dhimal, Meghnath, Di Castelnuovo, Augusto, Dias-da-Costa, Juvenal Soares, Díaz-Sánchez, María Elena, Diaz, Alejandro, Díaz Fernández, Pedro, Díez Ripollés, María Pilar, Dika, Zivka, Djalalinia, Shirin, Djordjic, Visnja, Do, Ha TP, Dobson, Annette J, Dominguez, Liria, Donati, Maria Benedetta, Donfrancesco, Chiara, Dong, Guanghui, Dong, Yanhui, Donoso, Silvana P, Döring, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, Dörr, Marcus, Doua, Kouamelan, Dragano, Nico, Drygas, Wojciech, Du, Shufa, Duan, Jia Li, Duante, Charmaine A, Duboz, Priscilla, Duleva, Vesselka L, Dulskiene, Virginija, Dumith, Samuel C, Dushpanova, Anar, Dwyer, Terence, Dyussupova, Azhar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Ebrahimi, Narges, Echeverría, Guadalupe, Eddie, Ricky, Eftekhar, Ebrahim, Efthymiou, Vasiliki, Egbagbe, Eruke E, Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ammari, Laila, El Ati, Jalila, Eldemire-Shearer, Denise, Elliott, Paul, Enang, Ofem, Endevelt, Ronit, Engle-Stone, Reina, Erasmus, Rajiv T, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Peña, Jorge, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Evans, Roger G, Faeh, David, Fagherazzi, Guy, Fakhradiyev, Ildar, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Farrugia Sant'Angelo, Victoria, Farzi, Yosef, Fattahi, Mohammad Reza, Fawwad, Asher, Fawzi, Wafaie W, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Gerson, Ferrari, Marika, Ferrario, Marco M, Ferreccio, Catterina, Ferreira, Haroldo S, Ferrer, Eldridge, Ferrieres, Jean, Figueiró, Thamara Hubler, Fijalkowska, Anna, Fink, Günther, Fisberg, Mauro, Fischer, Krista, Foo, Leng Huat, Forsner, Maria, Fottrell, Edward F, Fouad, Heba M, Francis, Damian K, Franco, Maria do Carmo, Fras, Zlatko, Fraser, Brooklyn, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Fujiati, Isti I, Fujita, Yuki, Fumihiko, Matsuda, Furdela, Viktoriya, Furusawa, Takuro, Gabriela, Stefan Adela, Gaciong, Zbigniew, Gafencu, Mihai, Galán Cuesta, Manuel, Galbarczyk, Andrzej, Galcheva, Sonya V, Galenkamp, Henrike, Galeone, Daniela, Galfo, Myriam, Galvano, Fabio, Gao, Jingli, Gao, Pei, Garcia-de-la-Hera, Manoli, García Mérida, María José, García Solano, Marta, Gareta, Dickman, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gaya, Adroaldo Cesar Araujo, Gaya, Anelise Reis, Gazzinelli, Andrea, Gehring, Ulrike, Geiger, Harald, Geleijnse, Johanna M, George, Ronnie, Gerdts, Eva, Ghaderi, Ebrahim, Ghamari, Seyyed-Hadi, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Gialluisi, Alessandro, Giampaoli, Simona, Gianfagna, Francesco, Gieger, Christian, Gill, Tiffany K, Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Glushkova, Natalya, Godara, Ramesh, Godos, Justyna, Gogen, Sibel, Goldberg, Marcel, Goltzman, David, Gómez, Georgina, Gómez Gómez, Jesús Humberto, Gomez, Luis F, Gómez, Santiago F, Gomula, Aleksandra, Gonçalves Cordeiro da Silva, Bruna, Gonçalves, Helen, Gonçalves, Mauer, González-Alvarez, Ana D, Gonzalez-Chica, David A, González-Gil, Esther M, Gonzalez-Gross, Marcela, González-Leon, Margot, González-Rivas, Juan P, González-Villalpando, Clicerio, González-Villalpando, María-Elena, Gonzalez, Angel R, Gottrand, Frederic, Graça, Antonio Pedro, Grafnetter, Dušan, Grajda, Aneta, Grammatikopoulou, Maria G, Gregg, Edward W, Gregor, Ronald D, Gregório, Maria João, Grøholt, Else Karin, Grøntved, Anders, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Guajardo, Viviana, Gualdi-Russo, Emanuela, Guallar-Castillón, Pilar, Gualtieri, Andrea, Gudmundsson, Elias F, Gudnason, Vilmundur, Guerchet, Maëlenn, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L, Gujral, Unjali P, Gulliford, Martin C, Gunnlaugsdottir, Johanna, Gunter, Marc J, Guo, Xiu-Hua, Guo, Yin, Gupta, Prakash C, Gupta, Rajeev, Gureje, Oye, Gurinović, Mirjana A, Gutiérrez González, Enrique, Gutierrez, Laura, Gutzwiller, Felix, Gwee, Xinyi, Ha, Seongjun, Hadaegh, Farzad, Hadjigeorgiou, Charalambos A, Haghshenas, Rosa, Hakimi, Hamid, Halkjær, Jytte, Hambleton, Ian R, Hamzeh, Behrooz, Hanekom, Willem A, Hange, Dominique, Hanif, Abu AM, Hantunen, Sari, Hao, Jie, Hardman, Carla Menêses, Hardy, Louise, Hari Kumar, Rachakulla, Harmer Lassen, Tina, Harooni, Javad, Hashemi-Shahri, Seyed Mohammad, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J, He, Jiang, He, Yuan, He, Yuna, Heidinger-Felső, Regina, Heier, Margit, Heinen, Mirjam, Hejgaard, Tatjana, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Hernandez Cadena, Leticia, Herrala, Sauli, Herrera-Cuenca, Marianella, Herrera, Victor M, Herter-Aeberli, Isabelle, Herzig, Karl-Heinz, Heshmat, Ramin, Heude, Barbara, Hill, Allan G, Ho, Sai Yin, Ho, Suzanne C, Hobbs, Michael, Höfelmann, Doroteia A, Holdsworth, Michelle, Homayounfar, Reza, Homs, Clara, Hoogendijk, Emiel, Hopman, Wilma M, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huidumac Petrescu, Constanta, Husseini, Abdullatif, Huu, Chinh Nguyen, Huybrechts, Inge, Hwalla, Nahla, Hyska, Jolanda, Iacoviello, Licia, Iakupova, Ellina M, Ibarluzea, Jesús, Ibrahim, Mohsen M, Ibrahim Wong, Norazizah, Igland, Jannicke, Ijoma, Chinwuba, Ikram, M Arfan, Iñiguez, Carmen, Irazola, Vilma E, Ishida, Takafumi, Isiguzo, Godsent C, Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Islek, Duygu, Ittermann, Till, Ivanova-Pandourska, Ivaila Y, Iwasaki, Masanori, Jääskeläinen, Tuija, Jackson, Rod T, Jacobs, Jeremy M, Jadoul, Michel, 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Suárez-Medina, Ramón, Suarez-Ortegón, Milton F, Suebsamran, Phalakorn, Sugiyama, Mindy, Suka, Machi, Sulo, Gerhard, Sun, Chien-An, Sun, Liang, Sund, Malin, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Sweis, Nabil William G, Swinburn, Boyd A, Sy, Rody G, Sylva, René Charles, Szponar, Lucjan, Tabone, Lorraine, Tai, E Shyong, Takuro, Furusawa, Tambalis, Konstantinos D, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Taxová Braunerová, Radka, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Te Velde, Saskia, Tebar, William R, Tell, Grethe S, Tello, Tania, Tessema, Masresha, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thomas, Nihal, Thorand, Barbara, Thrift, Amanda G, Tichá, Ľubica, Timmermans, Erik J, Tjandrarini, Dwi Hapsari, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Tomaszewski, Maciej, Topbas, Murat, Topór-Mądry, Roman, Torheim, Liv Elin, Tornaritis, Michael J, Torrent, Maties, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Tremblay, Mark S, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsigga, Maria, Tsintavis, Panagiotis, Tsugane, Shoichiro, Tuitele, John, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Twig, Gilad, Tynelius, Per, Tzala, Evangelia, Tzotzas, Themistoklis, Tzourio, Christophe, Udoji, Nwannedimma, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Lippevelde, Wendy, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Vargas, Luz Nayibe, Varona-Pérez, Patricia, Vasan, Senthil K, Vasques, Daniel G, Vatasescu, Radu, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Verloigne, Maïté, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Vik, Frøydis N, Vilar, Monica, Villalpando, Salvador, Vioque, Jesus, Viriyautsahakul, Napaphan, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Vourli, Georgia, Voutilainen, Ari, Vrijheid, Martine, Vrijkotte, Tanja GM, Vuletić, Silvije, Wade, Alisha N, Waldhör, Thomas, Walton, Janette, Wambiya, Elvis OA, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Chongjian, Wang, Huijun, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wartha, Olivia, Weber, Adelheid, Wedderkopp, Niels, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Westbury, Leo D, Whincup, Peter H, Wichstrøm, Lars, Wickramasinghe, Kremlin, Widhalm, Kurt, Widyahening, Indah S, Więcek, Andrzej, Wild, Philipp S, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wirth, James P, Wojtyniak, Bogdan, Woldeyohannes, Meseret, Wolf, Kathrin, Wong-McClure, Roy A, Wong, Andrew, Wong, Emily B, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Hon-Yen, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Wyszyńska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Li, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yasuharu, Tabara, Yépez García, Martha, Yiallouros, Panayiotis K, Yngve, Agneta, Yoosefi, Moein, Yoshihara, Akihiro, Yotov, Yoto, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Yu, Yu-Ling, Yu, Yunjiang, Yusof, Safiah Md, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Zaw, Ko Ko, Zayed, Ayman A, Zdrojewski, Tomasz, Żegleń, Magdalena, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zeng, Yi, Zentai, Andrea, Zhang, Bing, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhecheva, Yanitsa V, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zimmet, Paul, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuñiga Cisneros, Julio, Zuziak, Monika, and Ezzati, Majid

Published
2024
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39. Sentiment Analysis for Open Domain Conversational Agent

Author

Alissa, Mohamad, Haddad, Issa, Meyer, Jonathan, Obeid, Jade, Wiecek, Nicolas, and Wongariyakavee, Sukrit

Subjects
Computer Science - Artificial Intelligence
Abstract

The applicability of common sentiment analysis models to open domain human robot interaction is investigated within this paper. The models are used on a dataset specific to user interaction with the Alana system (a Alexa prize system) in order to determine which would be more appropriate for the task of identifying sentiment when a user interacts with a non-human driven socialbot. With the identification of a model, various improvements are attempted and detailed prior to integration into the Alana system. The study showed that a Random Forest Model with 25 trees trained on the dataset specific to user interaction with the Alana system combined with the dataset present in NLTK Vader outperforms other models. The new system (called 'Rob') matches it's output utterance sentiment with the user's utterance sentiment. This method is expected to improve user experience because it builds upon the overall sentiment detection which makes it seem that new system sympathises with user feelings. Furthermore, the results obtained from the user feedback confirms our expectation., Comment: 9 pages, 3 figures

Published
2021

40. Resting metabolic rate is increased after a series of whole body vibration in young men

Author

Marcin Maciejczyk, Marek Bawelski, Magdalena Wiecek, Tomasz Palka, Przemyslaw Bujas, Anna Piotrowska, and Zbigniew Szygula

Subjects
Medicine, Science
Abstract

Abstract Resting metabolic rate (RMR) is the largest component of total energy expenditure and increasing it can be of great importance in reducing excess body fatness. Whole body vibration (WBV) can affect energy expenditure during single session of WBV, but the effects of repeated WBV on resting metabolic rate have not been reported. The purpose of this study was to investigate whether a series of WBV would increase resting metabolism in young men. Thirty-two healthy men aged of 21–23 were recruited and randomly assigned to two 16-member groups: a group participating in the WBV intervention and a group without the intervention. The intervention lasted 2 weeks and WBV was performed 5 times a week. Diet, physical activity, body composition and resting metabolic rate were analyzed in the participants. In WBV group significantly increased resting oxygen uptake (p = 0.049) and consequently RMR (p = 0.035) after the intervention. Similar changes were not observed in the control group. This indicates that applied type of vibration in this study can be an addition to obesity therapy, in which, WBV can, among other beneficial metabolic effects, increase RMR and thus total energy expenditure.

Published
2023
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41. Decomposition of a symbolic element over a countable amenable group into blocks approximating ergodic measures

Author

Downarowicz, Tomasz and Więcek, Mateusz

Subjects
Mathematics - Dynamical Systems, 37B10, 37B05, 37C85, 37A15
Abstract

Consider a subshift over a finite alphabet, $X\subset \Lambda^{\mathbb Z}$ (or $X\subset\Lambda^{\mathbb N_0}$). With each finite block $B\in\Lambda^k$ appearing in $X$ we associate the empirical measure ascribing to every block $C\in\Lambda^l$ the frequency of occurrences of $C$ in $B$. By comparing the values ascribed to blocks $C$ we define a metric on the combined space of blocks $B$ and probability measures $\mu$ on $X$, whose restriction to the space of measures is compatible with the weak-$\star$ topology. Next, in this combined metric space we fix an open set $\mathcal U$ containing all ergodic measures, and we say that a block $B$ is "ergodic" if $B\in\mathcal U$. In this paper we prove the following main result: Given $\varepsilon>0$, every $x\in X$ decomposes as a concatenation of blocks of bounded lengths in such a way that, after ignoring a set $M$ of coordinates of upper Banach density smaller than $\varepsilon$, all blocks in the decomposition are ergodic. The second main result concerns subshifts whose set of ergodic measures is closed. We show that, in this case, no matter how $x\in X$ is partitioned into blocks (as long as their lengths are sufficiently large and bounded), after ignoring a set $M$ of upper Banach density smaller than $\varepsilon$, all blocks in the decomposition are ergodic. The first half of the paper is concluded by examples showing, among other things, that the small set $M$, in both main theorems, cannot be avoided. The second half of the paper is devoted to generalizing the two main results described above to subshifts $X\subset\Lambda^G$ with the action of a countable amenable group $G$. The role of long blocks is played by blocks whose domains are members of a F\o lner sequence while the decomposition of $x\in X$ into blocks (of which majority is ergodic) is obtained with the help of a congruent system of tilings., Comment: 26 pages, 4 figures

Published
2020

44. Introducing Set-Based Regret for Online Multiobjective Optimization

Author

Savary, Kristen, Wiecek, Margaret M., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Vasant, Pandian, editor, Shamsul Arefin, Mohammad, editor, Panchenko, Vladimir, editor, Thomas, J. Joshua, editor, Munapo, Elias, editor, Weber, Gerhard-Wilhelm, editor, and Rodriguez-Aguilar, Roman, editor

Published
2023
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46. Network Aspects of Remote 3D Printing in the Context of Industry as a Service IDaaS

Author

Salach, Mateusz, Paszkiewicz, Andrzej, Bolanowski, Marek, Kraska, Andrzej, Więcek, Jakub, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Szewczyk, Roman, editor, Zieliński, Cezary, editor, Kaliczyńska, Małgorzata, editor, and Bučinskas, Vytautas, editor

Published
2023
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47. Novel Hemocompatible Thiol-yne Based Photopolymers Obtained by the Advanced Stereolithography (SLA) Processing with Strongly Improved Surface Smoothness by a Novel Exposition Approach for Anti-aliasing

Author

Major, Roman, Surmiak, Marcin, Gawlikowski, Maciej, Schwarz, Romana, Kot, Marcin, Wiecek, Justyna, Lackner, Juergen M., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Gzik, Marek, editor, Paszenda, Zbigniew, editor, Piętka, Ewa, editor, Tkacz, Ewaryst, editor, Milewski, Krzysztof, editor, and Jurkojć, Jacek, editor

Published
2023
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48. Mapping Interindividual Variability of Toxicodynamics Using High-Throughput Transcriptomics and Primary Human Hepatocytes from Fifty Donors

Author

Niemeijer, Marije, Wiecek, Witold, Fu, Shuai, Huppelschoten, Suzanna, Bouwman, Peter, Baze, Audrey, Parmentier, Celine, Richert, Lysiane, Paules, Richard S., Bois, Frederic Y., and van de Water, Bob

Subjects
Medical research, Medicine, Experimental, High-throughput screening (Biochemical assaying) -- Usage, Liver diseases -- Risk factors -- Development and progression -- Environmental aspects, Environmental issues, Health
Abstract

BACKGROUND: Understanding the variability across the human population with respect to toxicodynamic responses after exposure to chemicals, such as environmental toxicants or drugs, is essential to define safety factors for risk assessment to protect the entire population. Activation of cellular stress response pathways are early adverse outcome pathway (AOP) key events of chemical-induced toxicity and would elucidate the estimation of population variability of toxicodynamic responses. OBJECTIVES: We aimed to map the variability in cellular stress response activation in a large panel of primary human hepatocyte (PHH) donors to aid in the quantification of toxicodynamic interindividual variability to derive safety uncertainty factors. METHODS: High-throughput transcriptomics of over 8,000 samples in total was performed covering a panel of 50 individual PHH donors upon 8 to 24 h exposure to broad concentration ranges of four different toxicological relevant stimuli: tunicamycin for the unfolded protein response (UPR), diethyl maleate for the oxidative stress response (OSR), cisplatin for the DNA damage response (DDR), and tumor necrosis factor alpha (TNF[alpha]) for NF-[kappa]B signaling. Using a population mixed-effect framework, the distribution of benchmark concentrations (BMCs) and maximum fold change were modeled to evaluate the influence of PHH donor panel size on the correct estimation of interindividual variability for the various stimuli. RESULTS: Transcriptome mapping allowed the investigation of the interindividual variability in concentration- dependent stress response activation, where the average of BMCs had a maximum difference of 864-, 13-, 13-, and 259-fold between different PHHs for UPR, OSR, DDR, and NF-[kappa]B signaling-related genes, respectively. Population modeling revealed that small PHH panel sizes systematically underestimated the variance and gave low probabilities in estimating the correct human population variance. Estimated toxicodynamic variability factors of stress response activation in PHHs based on this dataset ranged between 1.6 and 6.3. DISCUSSION: Overall, by combining high-throughput transcriptomics and population modeling, improved understanding of interindividual variability in chemical-induced activation of toxicity relevant stress pathways across the human population using a large panel of plated cryopreserved PHHs was established, thereby contributing toward increasing the confidence of in vitro-based prediction of adverse responses, in particular hepatotoxicity. https://doi.org/10.1289/EHP11891, Introduction One of the main responsibilities of the liver is the metabolism of endogenous and xenobiotic substances making the liver susceptible to chemical-induced injury through exposure to environmental toxicants or [...]

Published
2024
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