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1,309 results on '"Li, Yuntao"'

3. Transformer-Enhanced Motion Planner: Attention-Guided Sampling for State-Specific Decision Making

Author

Zhuang, Lei, Zhao, Jingdong, Li, Yuntao, Xu, Zichun, Zhao, Liangliang, and Liu, Hong

Subjects
Computer Science - Robotics, Computer Science - Artificial Intelligence
Abstract

Sampling-based motion planning (SBMP) algorithms are renowned for their robust global search capabilities. However, the inherent randomness in their sampling mechanisms often result in inconsistent path quality and limited search efficiency. In response to these challenges, this work proposes a novel deep learning-based motion planning framework, named Transformer-Enhanced Motion Planner (TEMP), which synergizes an Environmental Information Semantic Encoder (EISE) with a Motion Planning Transformer (MPT). EISE converts environmental data into semantic environmental information (SEI), providing MPT with an enriched environmental comprehension. MPT leverages an attention mechanism to dynamically recalibrate its focus on SEI, task objectives, and historical planning data, refining the sampling node generation. To demonstrate the capabilities of TEMP, we train our model using a dataset comprised of planning results produced by the RRT*. EISE and MPT are collaboratively trained, enabling EISE to autonomously learn and extract patterns from environmental data, thereby forming semantic representations that MPT could more effectively interpret and utilize for motion planning. Subsequently, we conducted a systematic evaluation of TEMP's efficacy across diverse task dimensions, which demonstrates that TEMP achieves exceptional performance metrics and a heightened degree of generalizability compared to state-of-the-art SBMPs., Comment: This work has been submitted to the IEEE for possible publication

Published
2024
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4. Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator

Author

Xu, Zichun, Li, Yuntao, Yang, Xiaohang, Zhao, Zhiyuan, Zhuang, Lei, and Zhao, Jingdong

Subjects
Computer Science - Robotics
Abstract

This paper presents three open-source reinforcement learning environments developed on the MuJoCo physics engine with the Franka Emika Panda arm in MuJoCo Menagerie. Three representative tasks, push, slide, and pick-and-place, are implemented through the Gymnasium Robotics API, which inherits from the core of Gymnasium. Both the sparse binary and dense rewards are supported, and the observation space contains the keys of desired and achieved goals to follow the Multi-Goal Reinforcement Learning framework. Three different off-policy algorithms are used to validate the simulation attributes to ensure the fidelity of all tasks, and benchmark results are also given. Each environment and task are defined in a clean way, and the main parameters for modifying the environment are preserved to reflect the main difference. The repository, including all environments, is available at https://github.com/zichunxx/panda_mujoco_gym.

Published
2023

8. Construction and validation of the diagnostic model for metabolic dysfunction-associated steatotic liver disease among the non-obese population

Author

WANG Yufeng, HU Minxuan, LI Yuntao, ZHU Kexin, JI Guozhong, and YUAN Yuan

Subjects
metabolic dysfunction-associated steatotic liver disease, non-obese, diagnostic model, logistic regression, predictive model, Medicine
Abstract

Objective To analyze the predictive indicators of non-obese metabolic dysfunction-associated steatotic liver disease (MASLD) and construct a diagnostic model. Methods A retrospective analysis was conducted on data from individuals who underwent health examinations at the Health Management Center of the Second Affiliated Hospital of Nanjing Medical University between August 2022 and July 2024. The study population was divided into a modeling group (those who completed examinations between August 2022 and May 2024) and a validation group (those who completed examinations between June 2024 and July 2024). Lasso regression was used to screen potential predictive indicators, and binary Logistic regression was employed to identify key indicators and construct a nomogram. Model performance was evaluated using a confusion matrix, receiver operating characteristic (ROC) curve analysis with area under the curve (AUC), calibration curve analysis (CCA), and decision curve analysis (DCA). Results A total of 791 physical examination subjects were included, with 607 cases in the modeling group and 184 cases in the validation group. Among them, 292 cases were non-obese MASLD, with a prevalence of 36.92%. Multivariate Logistic regression analysis identified body mass index (BMI) [OR=1.860, 95%CI(1.559, 2.219)], fasting blood glucose [OR=1.415, 95%CI(1.174, 1.707)], triglyceride [OR=1.308, 95%CI(1.021, 1.675)], gamma-glutamyl transferase [OR=1.012, 95%CI(1.005, 1.020)], and the uric acid to high-density lipoprotein cholesterol ratio [OR=1.004, 95%CI(1.002, 1.007)] as predictive indicators for non-obese MASLD. The accuracy rates for the modeling and validation groups were 74.0% and 72.8%, respectively, while the precision rates were 67.7% and 72.7%, respectively. The AUC values were 0.814[95%CI(0.780, 0.848)] for the modeling group and 0.819[95%CI(0.755, 0.883)] for the validation group. The Hosmer-Lemeshow test showed no statistical significance (P>0.05) for both groups, indicating good model fit. CCA demonstrated strong agreement between predicted and actual probabilities, and DCA indicated favorable net benefits of the model. Conclusion The diagnostic model developed in this study exhibits good diagnostic performance for non-obese MASLD and can be used for early screening in individuals with a normal BMI.

Published
2025
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9. Heterophily-Based Graph Neural Network for Imbalanced Classification

Author

Liang, Zirui, Li, Yuntao, Huang, Tianjin, Saxena, Akrati, Pei, Yulong, and Pechenizkiy, Mykola

Subjects
Computer Science - Machine Learning
Abstract

Graph neural networks (GNNs) have shown promise in addressing graph-related problems, including node classification. However, conventional GNNs assume an even distribution of data across classes, which is often not the case in real-world scenarios, where certain classes are severely underrepresented. This leads to suboptimal performance of standard GNNs on imbalanced graphs. In this paper, we introduce a unique approach that tackles imbalanced classification on graphs by considering graph heterophily. We investigate the intricate relationship between class imbalance and graph heterophily, revealing that minority classes not only exhibit a scarcity of samples but also manifest lower levels of homophily, facilitating the propagation of erroneous information among neighboring nodes. Drawing upon this insight, we propose an efficient method, called Fast Im-GBK, which integrates an imbalance classification strategy with heterophily-aware GNNs to effectively address the class imbalance problem while significantly reducing training time. Our experiments on real-world graphs demonstrate our model's superiority in classification performance and efficiency for node classification tasks compared to existing baselines., Comment: Accepted by Twelfth International Conference on Complex Networks & Their Applications

Published
2023

12. T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing

Author

Li, Yuntao, Su, Zhenpeng, Li, Yutian, Zhang, Hanchu, Wang, Sirui, Wu, Wei, and Zhang, Yan

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

Translating natural language queries into SQLs in a seq2seq manner has attracted much attention recently. However, compared with abstract-syntactic-tree-based SQL generation, seq2seq semantic parsers face much more challenges, including poor quality on schematical information prediction and poor semantic coherence between natural language queries and SQLs. This paper analyses the above difficulties and proposes a seq2seq-oriented decoding strategy called SR, which includes a new intermediate representation SSQL and a reranking method with score re-estimator to solve the above obstacles respectively. Experimental results demonstrate the effectiveness of our proposed techniques and T5-SR-3b achieves new state-of-the-art results on the Spider dataset., Comment: This paper has been accepted by ICASSP2023

Published
2023

13. Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion

Author

Song, Jian, Liang, Di, Li, Rumei, Li, Yuntao, Wang, Sirui, Peng, Minlong, Wu, Wei, and Yu, Yongxin

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

Transformer-based pre-trained models like BERT have achieved great progress on Semantic Sentence Matching. Meanwhile, dependency prior knowledge has also shown general benefits in multiple NLP tasks. However, how to efficiently integrate dependency prior structure into pre-trained models to better model complex semantic matching relations is still unsettled. In this paper, we propose the \textbf{D}ependency-Enhanced \textbf{A}daptive \textbf{F}usion \textbf{A}ttention (\textbf{DAFA}), which explicitly introduces dependency structure into pre-trained models and adaptively fuses it with semantic information. Specifically, \textbf{\emph{(i)}} DAFA first proposes a structure-sensitive paradigm to construct a dependency matrix for calibrating attention weights. It adopts an adaptive fusion module to integrate the obtained dependency information and the original semantic signals. Moreover, DAFA reconstructs the attention calculation flow and provides better interpretability. By applying it on BERT, our method achieves state-of-the-art or competitive performance on 10 public datasets, demonstrating the benefits of adaptively fusing dependency structure in semantic matching task., Comment: Accepted by Findings of EMNLP 2022

Published
2022

14. DABERT: Dual Attention Enhanced BERT for Semantic Matching

Author

Wang, Sirui, Liang, Di, Song, Jian, Li, Yuntao, and Wu, Wei

Subjects
Computer Science - Computation and Language
Abstract

Transformer-based pre-trained language models such as BERT have achieved remarkable results in Semantic Sentence Matching. However, existing models still suffer from insufficient ability to capture subtle differences. Minor noise like word addition, deletion, and modification of sentences may cause flipped predictions. To alleviate this problem, we propose a novel Dual Attention Enhanced BERT (DABERT) to enhance the ability of BERT to capture fine-grained differences in sentence pairs. DABERT comprises (1) Dual Attention module, which measures soft word matches by introducing a new dual channel alignment mechanism to model affinity and difference attention. (2) Adaptive Fusion module, this module uses attention to learn the aggregation of difference and affinity features, and generates a vector describing the matching details of sentence pairs. We conduct extensive experiments on well-studied semantic matching and robustness test datasets, and the experimental results show the effectiveness of our proposed method., Comment: Accepted by COLING 2022

Published
2022

15. PetLock:A Genderless and Standard Interface for the Future On-orbit Construction

Author

Li, Yuntao, Xu, Zichun, Yang, Xiaohang, Zhao, Zhiyuan, Zhao, Jingdong, and Liu, Hong

Subjects
Computer Science - Robotics
Abstract

Modular design is the foundation of on orbit construction technology of large space facilities in the future.Standard interface is the key technology of modular design of the future space robotic systems and space facilities.This paper presents the designed and tested of PetLock,a standard and genderless interface which can transfer mechanical loads,power and data between the future modular space robotic manipulator and spacecraft.PetLock adopts a completely genderless design,including connection face,locking mechanism,data and power interface.The connection surface provides a large translation and rotation misalignment tolerance,due to its 120-degree symmetrical and 3D shape design.The locking mechanism features the three locking pins retraction structure design,which is simple and reliable.POGO pin connectors in the center of the interface provides the power and data transfer capabilities.Due to the advantages of high locking force,large tolerance,high reliability and low cost,PetLock has the very big application potential in future on orbit construction missions., Comment: 8 pages,11 figures

Published
2022

16. A Combined Inverse Kinematics Algorithm Using FABRIK with Optimization

Author

Xu, Zichun, Li, Yuntao, Yang, Xiaohang, Zhao, Zhiyuan, Zhao, Jingdong, and Liu, Hong

Subjects
Computer Science - Robotics
Abstract

Forward and backward reaching inverse kinematics (FABRIK) is a heuristic inverse kinematics solver that is gradually applied to manipulators with the advantages of fast convergence and generating more realistic configurations. However, under the high error constraint, FABRIK exhibits unstable convergence behavior, which is unsatisfactory for the real-time motion planning of manipulators. In this paper, a novel inverse kinematics algorithm that combines FABRIK and the sequential quadratic programming (SQP) algorithm is presented, in which the joint angles deduced by FABRIK will be taken as the initial seed of the SQP algorithm to avoid getting stuck in local minima. The combined algorithm is evaluated with experiments, in which our algorithm can achieve higher success rates and faster solution times than FABRIK under the high error constraint. Furthermore, the combined algorithm can generate continuous trajectories for the UR5 and KUKA LBR IIWA 14 R820 manipulators in path tracking with no pose error and permitted position error of the end-effector.

Published
2022

25. Molecular characteristics of 14 239 patients with microsatellite instability colorectal cancer

Author

GU Jianhui, WANG Meng, and LI Yuntao

Subjects
colorectal cancer, next generation sequencing, microsatellite instability, microsatellite stability, dna mismatch repair, tumor mutation burden, epstein-barr virus, copy number variation, system mutation, germline mutation, Medicine
Abstract

Objective To analyze their molecular characteristics of microsatellite instability (MSI) by sequencing colorectal cancer patients in Sichuan region. Methods Next generation sequencing (NGS) was used to test 14 239 colon cancer patients from 2017 to 2022 in the Third People's Hospital of Chengdu for single nucleotide variation (SNV), insertion-deletion (InDel), copy number variation (CNV), fusion, MSI, tumor mutational burden (TMB), and Epstein-Barr virus (EBV). The clinical and molecular characteristics of highly microsatellite unstable (MSI-H) patients (MSI-H group, n=1 018) and microsatellite stable (MSS) patients (MSS group, n=13 221) were compared. Results The incidence rate of MSI in colorectal cancer was 7.15%, and detection rate of MSI varied in terms of age at diagnosis, tumour location and sample type. TMB was significantly higher in patients with MSI-H than in patients with microsatellite stable (MSS) (92.8 mutations/Mb vs 12.7 mutations/Mb, P＜0.05). EBV positivity in patients with colorectal cancer was 0.43%, but no patient with positive EBV was found in MSI-H. ERBB2, PIK3CA and BRAF all had significantly higher mutation frequencies in the MSI-H group, however, the positive rates of APC (51.26% vs 70.76%, χ2=168.823, P

Published
2024
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26. Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation

Author

Wang, Sirui, Wei, Kaiwen, Zhang, Hongzhi, Li, Yuntao, and Wu, Wei

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Demonstration learning aims to guide the prompt prediction via providing answered demonstrations in the few shot settings. Despite achieving promising results, existing work only concatenates the answered examples as demonstrations to the prompt template (including the raw context) without any additional operation, neglecting the prompt-demonstration dependencies. Besides, prior research found that randomly replacing the labels of demonstrations marginally hurts performance, illustrating that the model could not properly learn the knowledge brought by the demonstrations. Inspired by the human learning process, in this paper, we introduce Imitation DEMOnstration Learning (Imitation-Demo) to strengthen demonstration learning via explicitly imitating human review behaviour, which includes: (1) contrastive learning mechanism to concentrate on the similar demonstrations. (2) demonstration-label re-prediction method to consolidate known knowledge. Experiment results show that our proposed method achieves state-of-the-art performance on 11 out of 14 classification corpora. Further studies also prove that Imitation-Demo strengthen the association between prompt and demonstrations, which could provide the basis for exploring how demonstration learning works., Comment: 7 pages, 1 figure

Published
2022

37. Pay More Attention to History: A Context Modelling Strategy for Conversational Text-to-SQL

Author

Li, Yuntao, Zhang, Hanchu, Li, Yutian, Wang, Sirui, Wu, Wei, and Zhang, Yan

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

Conversational text-to-SQL aims at converting multi-turn natural language queries into their corresponding SQL (Structured Query Language) representations. One of the most intractable problems of conversational text-to-SQL is modelling the semantics of multi-turn queries and gathering the proper information required for the current query. This paper shows that explicitly modelling the semantic changes by adding each turn and the summarization of the whole context can bring better performance on converting conversational queries into SQLs. In particular, we propose two conversational modelling tasks in both turn grain and conversation grain. These two tasks simply work as auxiliary training tasks to help with multi-turn conversational semantic parsing. We conducted empirical studies and achieved new state-of-the-art results on the large-scale open-domain conversational text-to-SQL dataset. The results demonstrate that the proposed mechanism significantly improves the performance of multi-turn semantic parsing.

Published
2021

39. Association of BMI, lipid-lowering medication, and age with prevalence of type 2 diabetes in adults with heterozygous familial hypercholesterolaemia: a worldwide cross-sectional study

Author

Elshorbagy, Amany, Lyons, Alexander R.M., Vallejo-Vaz, Antonio J., Stevens, Christophe A.T., Dharmayat, Kanika I., Brandts, Julia, Catapano, Alberico L., Freiberger, Tomas, Hovingh, G. Kees, Mata, Pedro, Raal, Frederick J., Santos, Raul D., Soran, Handrean, Watts, Gerald F., Abifadel, Marianne, Aguilar-Salinas, Carlos A., Alhabib, Khalid F., Alkhnifsawi, Mutaz, Almahmeed, Wael, Alonso, Rodrigo, Al-Rasadi, Khalid, Al-Sarraf, Ahmad, Ashavaid, Tester F., Banach, Maciej, Binder, Christoph J., Bourbon, Mafalda, Brunham, Liam R., Chlebus, Krzysztof, Corral, Pablo, Cruz, Diogo, Davletov, Kairat, Descamps, Olivier S., Ezhov, Marat, Gaita, Dan, Groselj, Urh, Harada-Shiba, Mariko, Holven, Kirsten B., Kayikcioglu, Meral, Khovidhunkit, Weerapan, Lalic, Katarina, Latkovskis, Gustavs, Laufs, Ulrich, Liberopoulos, Evangelos, Lima-Martinez, Marcos M., Lin, Jie, Maher, Vincent, Marais, A. David, März, Winfried, Mirrakhimov, Erkin, Miserez, André R., Mitchenko, Olena, Nawawi, Hapizah, Nordestgaard, Børge G., Panayiotou, Andrie G., Paragh, György, Petrulioniene, Zaneta, Pojskic, Belma, Postadzhiyan, Arman, Reda, Ashraf, Reiner, Željko, Reyes, Ximena, Sadiq, Fouzia, Sadoh, Wilson E., Schunkert, Heribert, Shek, Aleksandr B., Stroes, Erik, Su, Ta-Chen, Subramaniam, Tavintharan, Susekov, Andrey V., Tilney, Myra, Tomlinson, Brian, Truong, Thanh-Huong, Tselepis, Alexandros D., Tybjærg-Hansen, Anne, Vázquez, Alejandra C., Viigimaa, Margus, Vohnout, Branislav, Wang, Luya, Yamashita, Shizuya, Arca, Marcello, Averna, Maurizio, Schreier, Laura, Pang, Jing, Ebenbichler, Christoph, Dieplinger, Hans, Innerhofer, Reinhold, Winhofer-Stöckl, Yvonne, Greber-Platzer, Susanne, Krychtiuk, Konstantin, Speidl, Walter, Toplak, Hermann, Widhalm, Kurt, Stulnig, Thomas, Huber, Kurt, Höllerl, Florian, Rega-Kaun, Gersina, Kleemann, Lucas, Mäser, Martin, Scholl-Bürgi, Sabine, Säly, Christoph, Mayer, Florian J., Sperone, Alexandra, Tanghe, Chloé, Gérard, Anne-Catherine, Pojskic, Lamija, Sisic, Ibrahim, Durak Nalbantic, Azra, Ejubovic, Malik, Jannes, Cinthia E., Pereira, Alexandre C., Krieger, Jose E., Petrov, Ivo, Goudev, Assen, Nikolov, Fedya, Tisheva, Snejana, Yotov, Yoto, Tzvetkov, Ivajlo, Baass, Alexis, Bergeron, Jean, Bernard, Sophie, Brisson, Diane, Cermakova, Lubomira, Couture, Patrick, Francis, Gordon A., Gaudet, Daniel, Hegele, Robert A., Khoury, Etienne, Mancini, G.B. John, McCrindle, Brian W., Paquette, Martine, Ruel, Isabelle, Iatan, Iulia, Cuevas, Ada, Wang, Xumin, Meng, Kang, Song, Xiantao, Yong, Qiang, Jiang, Tao, Liu, Ziyou, Duan, Yanyu, Hong, Jing, Ye, Pucong, Chen, Yan, Qi, Jianguang, Liu, Zesen, Li, Yuntao, Zhang, Chaoyi, Peng, Jie, Yang, Ya, Yu, Wei, Wang, Qian, Yuan, Hui, Cheng, Shitong, Jiang, Long, Chong, Mei, Jiao, Jian, Wu, Yue, Wen, Wenhui, Xu, Liyuan, Zhang, Ruiying, Qu, Yichen, He, Jianxun, Fan, Xuesong, Wang, Zhenjia, Chow, Elaine, Pećin, Ivan, Perica, Dražen, Symeonides, Phivos, Vrablik, Michal, Ceska, Richard, Soska, Vladimir, Tichy, Lukas, Adamkova, Vera, Franekova, Jana, Cifkova, Renata, Kraml, Pavel, Vonaskova, Katerina, Cepova, Jana, Dusejovska, Magdalena, Pavlickova, Lenka, Blaha, Vladimir, Rosolova, Hana, Nussbaumerova, Barbora, Cibulka, Roman, Vaverkova, Helena, Cibickova, Lubica, Krejsova, Zdenka, Rehouskova, Katerina, Malina, Pavel, Budikova, Milena, Palanova, Vaclava, Solcova, Lucie, Lubasova, Alena, Podzimkova, Helena, Bujdak, Juraj, Vesely, Jiri, Jordanova, Marta, Salek, Tomas, Urbanek, Robin, Zemek, Stanislav, Lacko, Jan, Halamkova, Hana, Machacova, Sona, Mala, Sarka, Cubova, Eva, Valoskova, Katerina, Burda, Lukas, Benn, Marianne, Bendary, Ahmed, Daoud, Ihab, Emil, Sameh, Elbahry, Atef, Rafla, Samir, Sanad, Osama, Kazamel, Ghada, Ashraf, Dr Mohamed, Sobhy, Mohamed, El-Hadidy, Amro, Shafy, Mohamed Abdoul, Kamal, Saif, Bendary, Mohamed, Talviste, Grete, Christmann, Jutta, Dressel, Alexander, Fath, Felix, Ferraro, Chiara, Frenzke, Lydia, Gopon, Alica, Klein, Isabel, Pienkowska, Dominika, Sietmann, Tobias, Sonntag, Antonia, Adjan, Omar, Bahrmann, Philipp, Baessler, Andrea, Barkowski, Rasmus, Beckerdjian, Raffi, Berr, Christina, Birkenfeld, Andreas, Böll, Gereon, Carstensen, Avisha, Demuth, Ilya, Finkernagel, Holger, Gouni-Berthold, Ioanna, Hahmann, Harry, Hamerle, Michael, Halder, Julian, Heide, Maria, Julius, Ulrich, Kassner, Ursula, Katzmann, Julius L, Kirschbaum, Anja, Klose, Gerald, Könemann, Stephanie, König, Christel, König, Wolfgang, Krämer, Bernhard, Kuprat, Gerrit, Koschker, Ann-Cathrin, Kilic, Özlem, Lindenmeier, Gerd, Van de Loo, Iris, Lorenz, Babette, Lorenz, Elke, Löhr, Birgit, McChord, Johanna, Maslarska, Mariya, Methe, Heiko, Merkel, Martin, Moussaoui, Zineb, Müller-Kozarez, Irina, Olivier, Christoph B, Ong, Peter, Otte, Britta, Parhofer, Klaus, Partsch, Carl-Joachim, Paulus, Michael, Pehlivanli, Sinan, Pflederer, Tobias, Pusl, Thomas, Richter, Veronika, Rosner, Stefanie, Sanin, Veronika, Schäfer, Sebastian, Schäfer, Christoph, Schatz, Ulrike, Schirmer, Stephan, Schmidt, Christine, Seeger, Wolfgang, Sisovic, Snezna, Spens, Antje, Jablonski, Ksenija Stach, Stadelmann, Alexander, Steinhagen-Thiessen, Elisabeth, Stürzebecher, Paulina, Tafelmeier, Maria, Tillack, Dörthe, Tselmin, Sergey, Tünnemann-Tarr, Adrienn, Vogt, Anja, Beckerath, Jens von, Wilke, Andreas, Wolf, Ulrich, Zemmrich, Claudia, Rizos, Christos V., Skoumas, Ioannis, Tziomalos, Konstantinos, Rallidis, Loukianos, Kotsis, Vasileios, Doumas, Michalis, Athyros, Vasileios, Skalidis, Emmanouil, Kolovou, Genovefa, Kolovou, Vana, Garoufi, Anastasia, Bilianou, Eleni, Koutagiar, Iosif, Kiouri, Estela, Antza, Christina, Zacharis, Evangelos, Attilakos, Achilleas, Sfikas, George, Koumaras, Charalambos, Anagnostis, Panagiotis, Anastasiou, Georgia, Liamis, George, Koutsogianni, Amalia-Despoina, Petkou, Ermioni, Milionis, Haralambos, Koulouri, Anastasia, Prodromiadou, Elisavet, Karányi, Zsolt, Harangi, Mariann, Bajnok, László, Audikovszky, Mária, Márk, László, Benczúr, Béla, Reiber, István, Nagy, Gergely, Nagy, András, Reddy, Lakshmi Lavanya, Shah, Swarup A. V, Ponde, Chandrashekhar K., Dalal, Jamshed J., Sawhney, Jitendra P.S., Verma, Ishwar C., Altaey, Mays, Al-Jumaily, Khalid, Rasul, Dilshad, Abdalsahib, Ali Fawzi, Jabbar, Amer Abdl, Al-ageedi, Mohanad, Dhamin, Mohammed, AlFil, Sarmad, Khadhim, Foad, Miahy, Sabah, Agar, Ruth, Catapano, Alberico Luigi, Calandra, Sebastiano, Tarugi, Patrizia, Casula, Manuela, Galimberti, Federica, Olmastroni, Elena, Sarzani, Riccardo, Ferri, Claudio, Repetti, Elena, Piro, Salvatore, Suppressa, Patrizia, Meregalli, Giancarla, Borghi, Claudio, Muntoni, Sandro, Calabrò, Paolo, Cipollone, Francesco, Purrello, Francesco, Pujia, Arturo, Passaro, Angelina, Marcucci, Rossella, Pecchioli, Valerio, Pisciotta, Livia, Mandraffino, Giuseppe, Pellegatta, Fabio, Mombelli, Giuliana, Branchi, Adriana, Fiorenza, Anna Maria, Pederiva, Cristina, Werba, Josè Pablo, Parati, Gianfranco, Carubbi, Francesca, Iughetti, Lorenzo, Fortunato, Giuliana, Iannuzzi, Arcangelo, Iannuzzo, Gabriella, Cefalù, Angelo Baldassare, Biasucci, Giacomo, Zambon, Sabina, Pirro, Matteo, Sbrana, Francesco, Trenti, Chiara, D'Erasmo, Laura, Federici, Massimo, Ben, Maria Del, Bartuli, Andrea, Giaccari, Andrea, Pipolo, Antonio, Citroni, Nadia, Guardamagna, Ornella, Lia, Salvatore, Benso, Andrea, Biolo, Gianni, Maroni, Lorenzo, Lupi, Alessandro, Bonanni, Luca, Rinaldi, Elisabetta, Zenti, Maria Grazia, Matsuki, Kota, Hori, Mika, Ogura, Masatsune, Masuda, Daisaku, Kobayashi, Takuya, Nagahama, Kumiko, Al-Jarallah, Mohammed, Radovic, Mirjana, Lunegova, Olga, Bektasheva, Erkayim, Abilova, Saamay, Erglis, Andrejs, Gilis, Dainus, Nesterovics, Georgijs, Saripo, Vita, Meiere, Ruta, Skudrina, Gunda, Terauda, Elizabete, Jambart, Selim, Ayoub, Carine, Ghaleb, Youmna, Aliosaitiene, Urte, Kutkiene, Sandra, Abdul Kadir, Siti Hamimah Sheikh, Kasim, Noor Alicezah Mohd, Nor, Noor Shafina Mohd, Abdul Hamid, Hasidah, Abdul Razak, Suraya, Al-Khateeb, Alyaa, Abd Muid, Suhaila, Abdul Rahman, Thuhairah, Kasim, Sazzli Shahlan, Radzi, Ahmad Bakhtiar Md, Ibrahim, Khairul Shafiq, Rosli, Marshima Mohd, Razali, Rafezah, Chua, Yung An, Razman, Aimi Zafira, Nazli, Sukma Azureen, Aziz, Nazirul, Rosman, Azhari, Abdul Murad, NorAzian, Jalaludin, Mohd Amin, Abdul Latif, Ahmad Zubaidi, Azzopardi, C., Mehta, Roopa, Martagon, Alexandro J., Ramirez, Gabriela A. Galan, Villa, Neftali E Antonio, Vazquez, Arsenio Vargas, Elias-Lopez, Daniel, Retana, Gustavo Gonzalez, Rodriguez, Betsabel, Macías, Jose J. Ceballos, Zazueta, Alejandro Romero, Alvarado, Rocio Martinez, Portano, Julieta D. Morales, Lopez, Humberto Alvares, Sauque-Reyna, Leobardo, Herrera, Laura G. Gomez, Mendia, Luis E. Simental, Aguilar, Humberto Garcia, Cooremans, Elizabeth Ramirez, Aparicio, Berenice Peña, Zubieta, Victoria Mendoza, Gonzalez, Perla A. Carrillo, Ferreira-Hermosillo, Aldo, Portilla, Nacu Caracas, Dominguez, Guadalupe Jimenez, Garcia, Alinna Y. Ruiz, Cazares, Hector E. Arriaga, Gonzalez, Jesus R., Valencia, Carla V. Mendez, Padilla, Francisco G., Prado, Ramon Madriz, Ibarra, Manuel O. De los Rios, Villicaña, Ruy D. Arjona, Rivera, Karina J. Acevedo, Carrera, Ricardo Allende, Alvarez, Jose A., Martinez, Jose C. Amezcua, Bustillo, Manuel de los Reyes Barrera, Vargas, Gonzalo Carazo, Chacon, Roberto Contreras, Andrade, Mario H. Figueroa, Ortega, Ashanty Flores, Alcala, Hector Garcia, de Leon, Laura E. Garcia, Guzman, Berenice Garcia, Garcia, Jose J. Garduño, Cuellar, Juan C. Garnica, Cruz, Jose R. Gomez, Garcia, Anell Hernandez, Almada, Jesus R. Holguin, Herrera, Ursulo Juarez, Sobrevilla, Fabiola Lugo, Rodriguez, Eduardo Marquez, Sibaja, Cristina Martinez, Rodriguez, Alma B. Medrano, Oyervides, Jose C. Morales, Vazquez, Daniel I. Perez, Rodriguez, Eduardo A. Reyes, Osorio, Ma. Ludivina Robles, Saucedo, Juan Rosas, Tamayo, Margarita Torres, Talavera, Luis A. Valdez, Arroyo, Luis E. Vera, Carrillo, Eloy A. Zepeda, Stroes, Erik S, Defesche, J, Zuurbier, L, Reeskamp, L, Ibrahim, S, Roeters van Lennep, Jeanine, Wiegman, Albert, Isara, Alphonsus, Obaseki, Darlington E., Al-Waili, Khalid, Al-Zadjali, Fahad, Al-Zakwani, Ibrahim, Al-Kindi, Mohammed, Al-Mukhaini, Suad, Al-Barwani, Hamida, Rana, Asim, Shah, Lahore Saeed Ullah, Al-Nouri, Fahad, Starostecka, Ewa, Konopka, Agnieszka, Bielecka-Dabrowa, Agata, Lewek, Joanna, Sosnowska, Bozena, Gąsior, Mariusz, Dyrbuś, Krzysztof, Jóźwiak, Jacek, Pajkowski, Marcin, Romanowska-Kocejko, Marzena, Żarczyńska-Buchowiecka, Marta, Chmara, Magdalena, Wasąg, Bartosz, Stróżyk, Aneta, Michalska-Grzonkowska, Aleksandra, Medeiros, Ana Margarida, Alves, Ana Catarina, Silva, Francisco, Lobarinhas, Goreti, Palma, Isabel, de Moura, Jose Pereira, Rico, Miguel Toscano, Rato, Quitéria, Pais, Patrícia, Correia, Susana, Moldovan, Oana, Virtuoso, Maria João, Araujo, Francisco, Salgado, Jose Miguel, Colaço, Ines, Dumitrescu, Andreea, Lengher, Calin, Mosteoru, Svetlana, Meshkov, Alexey, Ershova, Alexandra, Rozhkova, Tatiana, Korneva, Victoria, Yu, Kuznetsova T., Zafiraki, Vitaliy, Voevoda, Mikhail, Gurevich, Victor, Duplyakov, Dmitry, Ragino, Yulia, Chubykina, Uliana, Shaposhnik, Igor, Alkaf, Fahmi, Khudari, Alia, Rwaili, Nawal, Al-Allaf, Faisal, Alghamdi, Mohammad, Batais, Mohammed A, Almigbal, Turky H, Kinsara, Abdulhalim, AlQudaimi, Ashraf Hammouda Ahmed, Awan, Zuhier, Elamin, Omer A, Altaradi, Hani, Popovic, Ljiljana, Singh, Sandra, Rasulic, Iva, Petakov, Ana, Lalic, Nebojsa M., Lam, Carolyn, Le, Tan Ju, Siang, Eric Lim Tien, Dissanayake, Sanjaya, I-Shing, Justin Tang, Shyong, Tai E, Jin, Terrance Chua Siang, Ting, Sharon Pek Li, Ming, Jeremy Hoe Kian, Drum, Chester Lee, Nastar, Fathima Ashna, Jia, Loh Wann, Ya, Natalie Koh Si, Jie, Marvin Chua Wei, Dalan, Rinkoo, Wei, Yong Quek, sian, Tiong Yee, Keong, Yeo Khung, Rong, Siau Kai, Jin, Darren Seah Ee, Ming, Ian Koh Jan, Chang, Tan Hong, Peng, Fabian Yap Kok, Vasanwala, Rashida Farhad, Raslova, Katarina, Balinth, Karin, Buganova, Ingrid, Fabryova, Lubomira, Kadurova, Michaela, Klabnik, Alexander, Kozárová, Miriam, Sirotiakova, Jana, Battelino, Tadej, Cevc, Matija, Debeljak, Marusa, Torkar, Ana Drole, Fras, Zlatko, Jug, Borut, Cugalj, Barbara Kern, Kovac, Jernej, Mlinaric, Matej, Sikonja, Jaka, Pilcher, Gillian Joan, Blom, D J, Wolmarans, K H, Brice, B C, Muñiz-Grijalvo, Ovidio, Díaz-Díaz, Jose Luis, de Isla, Leopoldo Pérez, Fuentes, Francisco, Badimon, Lina, Martin, François, Miserez, Eleonore B., Shipton, Janine L., Ganokroj, Poranee, Chattranukulchai, Pairoj, Jiamjarasrungsi, Wiroj, Thongtang, Nuntakorn, Krittayaphong, Rungroj, Vathesatogkit, Prin, Sriphrapradang, Chutintorn, Phimphilai, Mattabhorn, Leelawattana, Rattana, Anthanont, Pimjai, Suraamornkul, Swangjit, Deerochanawong, Chaicharn, Senthong, Vichai, Torpongpun, Artit, Suteerayongprasert, Panuwat, Pengpong, Nawarat, Sathavarodom, Nattapol, Sunanta, Usanee, Porntharukchareon, Thachanun, Kiatpanabhikul, Phatharaporn, Kaewkrasaesin, Chatchon, Kongkit, Jaruwan, Umphonsathien, Mongkontida, Akbulut, Mehmet, Alici, Gökhan, Bayram, Fahri, Can, Levent Hürkan, Celik, Ahmet, Ceyhan, Ceyhun, Coskun, Fatma Yilmaz, Demir, Mesut, Demircan, Sabri, Dogan, Volkan, Durakoglugil, Emre, Dural, İbrahim Etem, Gedikli, Omer, Hacioglu, Aysa, Ildizli, Muge, Kilic, Salih, Kirilmaz, Bahadir, Kutlu, Merih, Oguz, Aytekin, Ozdogan, Oner, Onrat, Ersel, Ozer, Savas, Sabuncu, Tevfik, Sahin, Tayfun, Sivri, Fatih, Sonmez, Alper, Temizhan, Ahmet, Topcu, Selim, Tokgozoglu, Lale, Tuncez, Abdullah, Vural, Mirac, Yenercag, Mustafa, Yesilbursa, Dilek, Yigit, Zerrin, Yildirim, Aytul Belgi, Yildirir, Aylin, Yilmaz, Mehmet Birhan, Atallah, Bassam, Traina, Mahmoud, Sabbour, Hani, Abdul Hay, Dana, Luqman, Neama, Elfatih, Abubaker, Abdulrasheed, Arshad, Manla, Yosef, Kwok, See, DellOca, Nicolas, Alieva, Rano B., Fozilov, Khurshid G., Hoshimov, Shavkat U., Nizamov, Ulugbek I., Kan, Liliya E., Kim, Andrey R., Abdullaeva, Guzal J., Abdullaev, Alisher A., Do, Doan Loi, Nguyen, Mai Ngoc Thi, Kim, Ngoc Thanh, Le, Thanh Tung, Le, Hong An, and Ray, Kausik K.

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2024
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