Author: "Roth, Andreas" - Searchworks@Jio Institute Digital Library Search Results

1,137 results on '"Roth, Andreas"'

1. Subtotal diaphyseal replacement of the femur with modular mega-endoprosthesis following interprosthetic fracture. A case report

Author: Ghanem, Mohamed, Pempe, Christina, and Roth, Andreas
Subjects: Surgery, RD1-811
Abstract: Mega-endoprostheses enable wide management options in the treatment of primary and periprosthetic fracture of the lower extremities. In this study, we report on the use of custom-made subtotal diaphyseal endoprosthetic replacement in treatment of interprosthetic femoral fracture. This procedure is off-label, but in this particular case, it was the safest and most stress-stable treatment option. The implant was delivered within three weeks. The surgical procedure for subtotal replacement of the femoral diaphysis was performed without any intra- or postoperative complication. The duration for the surgical intervention was one hour and 40 minutes. The patient was then mobilized with full weight bearing. At one-year follow-up, the patient did not complain of any pain. The Harris Hip Score HHS improved from 26 to 83 at one-year follow-up, the Western Ontario and McMaster Universities Osteoarthritis Index WOMAC improved from 88 to 16. Mega-endoprostheses enable a wide range of management options in the treatment of primary, peri- and interprosthetic fractures of the lower extremities. In many cases, an individual therapeutic plan is necessary ranging up to the use of custom-made implants.
Published: 2024
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2. Intramedullary arthrodesis of the knee joint with additional femoral neck screw to prevent periprosthetic fracture of the proximal femur. A case report

Author: Ghanem, Mohamed, Pempe, Christina, and Roth, Andreas
Subjects: Surgery, RD1-811
Abstract: Arthrodesis of the knee joint has proven effective in the treatment of chronic periprosthetic infections as well as in cases of previous multiple revision surgery after total knee replacement with insufficiency of the extensor apparatus. In this case report, we report on the use of a custom-made intramedullary arthrodesis nail of the knee joint following multiple revisions due to aseptic loosening after total knee replacement. Surgery was performed according to preoperative computerized planning. Microbiological and histological samples obtained intraoperatively showed no evidence of infection. Yet, the patient presented postoperatively with complete loss of active dorsiflexion of the ipsilateral foot. On one-year follow-up, the patient did not complain of any pain. The radiological findings one year after surgery showed no sign of loosening or any other pathological findings. The neurological lesion has completely recovered. The Harris Hip Score HHS improved from 24 (prior to implantation of the arthrodesis) to 75 on one-year follow-up, the Western Ontario and McMaster Universities Osteoarthritis Index WOMAC improved from 86 to 20. The particularity of this case lies in the fact that an additional femoral neck screw was brought in to prevent periprosthetic fracture of the proximal femur. Careful preoperative planning as well as surgical performance were necessary to adjust the rotation of the femoral nail to allow adequate positioning of the femoral neck screw.Intramedullary arthrodesis of the knee is a suitable management option following multiple revision surgery after total knee replacement with insufficiency of the extensor apparatus. In many cases, an individual therapeutic plan is necessary ranging up to the use of custom-made implants.
Published: 2024
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3. Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph

Author: Roth, Andreas, Bause, Franka, Kriege, Nils M., and Liebig, Thomas
Subjects: Computer Science - Machine Learning
Abstract: The ability of message-passing neural networks (MPNNs) to fit complex functions over graphs is limited as most graph convolutions amplify the same signal across all feature channels, a phenomenon known as rank collapse, and over-smoothing as a special case. Most approaches to mitigate over-smoothing extend common message-passing schemes, e.g., the graph convolutional network, by utilizing residual connections, gating mechanisms, normalization, or regularization techniques. Our work contrarily proposes to directly tackle the cause of this issue by modifying the message-passing scheme and exchanging different types of messages using multi-relational graphs. We identify a sufficient condition to ensure linearly independent node representations. As one instantion, we show that operating on multiple directed acyclic graphs always satisfies our condition and propose to obtain these by defining a strict partial ordering of the nodes. We conduct comprehensive experiments that confirm the benefits of operating on multi-relational graphs to achieve more informative node representations., Comment: Published at LoG 2024
Published: 2024

4. Simplifying the Theory on Over-Smoothing

Author: Roth, Andreas
Subjects: Computer Science - Machine Learning
Abstract: Graph convolutions have gained popularity due to their ability to efficiently operate on data with an irregular geometric structure. However, graph convolutions cause over-smoothing, which refers to representations becoming more similar with increased depth. However, many different definitions and intuitions currently coexist, leading to research efforts focusing on incompatible directions. This paper attempts to align these directions by showing that over-smoothing is merely a special case of power iteration. This greatly simplifies the existing theory on over-smoothing, making it more accessible. Based on the theory, we provide a novel comprehensive definition of rank collapse as a generalized form of over-smoothing and introduce the rank-one distance as a corresponding metric. Our empirical evaluation of 14 commonly used methods shows that more models than were previously known suffer from this issue.
Published: 2024

5. Universitäre Unfallchirurgie und Orthopädie: Wo geht die Reise hin?

Author: Greiser, Josefa, Roth, Andreas, and Böcker, Wolfgang
Published: 2025
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6. Risk factors for mortality in periprosthetic femur fractures about the hip-a retrospective analysis

Author: Müller, Katharina, Zeynalova, Samira, Fakler, Johannes K.M., Kleber, Christian, Roth, Andreas, and Osterhoff, Georg
Published: 2025
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7. Results after surgical treatment of periprosthetic proximal femoral fractures. Osteosynthesis with prosthesis preservation vs. prosthesis change

Author: Zajonz, Dirk, Pönick, Cathleen, Edel, Melanie, Möbius, Robert, Pfeifle, Christian, Prietzel, Torsten, Roth, Andreas, and Fakler, Johannes K. M.
Subjects: periprosthetic proximal femoral fracture, osteosynthesis, prosthesis change, Surgery, RD1-811
Abstract: Background: Periprosthetic fractures (PPF) of the femur close to the hip joint have serious consequences for most geriatric affected patients. In principle, apart from the highly uncommon conservative therapy, there are two therapeutic options. On the one hand, the prosthesis-preserving treatment by means of osteosynthesis using plates and/or cerclages in general is available. On the other hand, a (partial) change of the prosthesis with optionally additive osteosynthesis or a proximal femoral replacement can be performed because of prosthesis loosening or non-reconstructable comminuted fractures as well as most cemented stem variations.The aim of this retrospective study is the analysis of periprosthetic proximal femoral fractures in the presence of a total hip arthroplasty (THA). The outcome of the operated patients is to be investigated depending on the type of care (osteosynthesis with prosthesis preservation vs. prosthesis change).Material and methods: In a retrospective case analysis, 80 patients with THA and PPF were included. They were divided into two groups. Group I represents the osteosynthetic treatment to preserve the implanted THA (n=42). Group II (n=38) includes those patients who were treated by a change of their endoprosthesis with or without additional osteosynthesis. Specifics of all patients, like gender, age at fracture, interval between fracture and implantation, length of in-patient stay, body mass index, osteoporosis, corticomedullary index and complications such as infections, re-fracture, loosening, material failure or other complications, were recorded and compared. Furthermore, the patients were re-examined by a questionnaire and the score according to Merle d’Aubigné and Postel.Results: In group I the mean follow-up time was 48.5±23 months ears) whereas group II amounted 32.5±24.5 months (2.7 years) (p=0.029). Besides, there were significant differences in age (81± 1ears vs. 76±10 years, p=0.047) and length of in-patient stay (14.5±8.6 days vs. 18.0±16.7 days, p=0.014). According to the score of Merle d’Aubigné and Postel, there were significantly better values for the pain in group II with comparable values for mobility and walking ability.Conclusion: The treatment of periprosthetic proximal fractures of the femur is dependent on the classification (Vancouver and Johannsen) and in particular on the prosthetic anchoring as well as the extent of the comminution zone. Older patients and patients with osteoporosis are more frequently treated with an endoprosthesis revision. Patients, who have been treated with an osteosynthesis for preserving their endoprosthesis, showed a shorter length of in-patient stay and fewer complications than people with replacement surgery. In contrast to that, patients with prosthesis revision had better outcomes concerning the score of Merle d’Aubigné and Postel.
Published: 2020
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8. Curvature-Based Pooling Within Graph Neural Networks

Author: Sanders, Cedric, Roth, Andreas, Liebig, Thomas, Ghosh, Ashish, Editorial Board Member, Meo, Rosa, editor, and Silvestri, Fabrizio, editor
Published: 2025
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9. Long-term outcome after implantation of a nickel-containing cemented hip stem on the right in a patient with type IV sensitization to nickel sulphate

Author: Armonies, Sarah, Zajonz, Dirk, Treudler, Regina, Roth, Andreas, and Ghanem, Mohamed
Subjects: nickel-sulfate allergy, joint replacement, type iv sensitization, Surgery, RD1-811
Abstract: Type IV allergies to nickel sulfate, potassium dichromate and/or cobalt chloride are supposed to be associated with aseptic loosening, pain or infections in patients with hip arthroplasty. However, there is debate on any causal relation between type IV sensitization to metals and any of these complications. We report on a patient with suspicion of pre-existing type IV sensitization to nickel sulfate and potassium dichromate who did not show any complications after hip arthroplasty.
Published: 2019
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10. Endoprothetik und Mundgesundheit – ein Überblick

Author: Pempe, Christina, Schmalz, Gerhard, Ziebolz, Dirk, and Roth, Andreas
Published: 2024
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11. Predictors of long-term mortality in older patients with hip fractures managed by hemiarthroplasty: a 10-year study based on a population registry in Saxony, Germany

Author: Fakler, Johannes K.M., Pieroh, Philipp, Höch, Andreas, Roth, Andreas, Kleber, Christian, Löffler, Markus, Heyde, Christoph E., and Zeynalova, Samira
Published: 2024
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12. Mid-term results of two-stage revision of total knee arthroplasty using a mobile (dynamic) cement spacer in the treatment of periprosthetic infections

Author: Ghanem, Mohamed, Pempe, Christina, Zajonz, Dirk, Roth, Andreas, Heyde, Christoph-Eckhard, and Josten, Christoph
Subjects: total knee replacement, revision surgery, infection, dynamic cement spacer, Surgery, RD1-811
Abstract: Introduction: Infection of the knee joint after primary total knee arthroplasty is a serious complication. In this work, we would like to evaluate the mid-term results after two-stage revision of total knee replacement in periprosthetic infection using dynamic spacer, in particular with regard to the function of the knee joint after reimplantation.Patients and methods: In this retrospective study, we included patients who were treated in our clinic between 2005 and 2013 due to infection of the knee after total knee arthroplasty. All patients included have had a mobile antibiotic-coated cement spacer implanted after surgical debridement and removal of the components of total knee replacement. Subsequently, reimplantation of total knee replacement was performed when no clinical or paraclinical signs of infection were found. We analyzed all included cases for potential reinfection, examined the range of motion of the knee joint and evaluated the Merle d’Aubigné-Postel score. Statistical evaluation was performed with SPSS 24.0.Results: This study group contains 16 patients (9 women and 7 men) with an average age of 72.0 ± 8.3 years. All patients were followed up for at least 6 months with an average follow-up of 22.5 ± 16.6 months. In all patients a pathogen was isolated intraoperatively during the first-stage surgery (explantation of the knee). were detected in 94% of the cases, in only one patient. Reimplantation was carried out after 6.2 ± 5.2 months. The average knee flexion in the group of patients without relapse of infection was Only 3 patients showed extension deficit of max. 20°. The Merle d’Aubigné-Postel Score was 14.4 ± 1.9.Conclusion: Two-stage surgery of total knee replacement with the use of a mobile spacer has its high value in the treatment of periprosthetic infections. The mobile spacers contribute to an advantageous range of motion of the knee joint after reimplantation of a total knee endoprosthesis. However, further studies are required that compare the results after using mobile or static spacer, but with the inclusion of homogeneous patient collective.
Published: 2018
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13. Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks

Author: Roth, Andreas and Liebig, Thomas
Subjects: Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract: Models with similar performances exhibit significant disagreement in the predictions of individual samples, referred to as prediction churn. Our work explores this phenomenon in graph neural networks by investigating differences between models differing only in their initializations in their utilized features for predictions. We propose a novel metric called Influence Difference (ID) to quantify the variation in reasons used by nodes across models by comparing their influence distribution. Additionally, we consider the differences between nodes with a stable and an unstable prediction, positing that both equally utilize different reasons and thus provide a meaningful gradient signal to closely match two models even when the predictions for nodes are similar. Based on our analysis, we propose to minimize this ID in Knowledge Distillation, a domain where a new model should closely match an established one. As an efficient approximation, we introduce DropDistillation (DD) that matches the output for a graph perturbed by edge deletions. Our empirical evaluation of six benchmark datasets for node classification validates the differences in utilized features. DD outperforms previous methods regarding prediction stability and overall performance in all considered Knowledge Distillation experiments., Comment: Accepted at ACML 2023
Published: 2023

14. Retrograde intramedullary nail fixation with oblique fixed angle screws versus locking plates in periprosthetic supracondylar fractures after total knee arthroplasty

Author: Rudolph, Franziska, Brand, Alexander G., Osterhoff, Georg, Kleber, Christian, Roth, Andreas, and Fakler, Johannes K. M.
Published: 2024
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15. Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks

Author: Roth, Andreas and Liebig, Thomas
Subjects: Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract: Our study reveals new theoretical insights into over-smoothing and feature over-correlation in graph neural networks. Specifically, we demonstrate that with increased depth, node representations become dominated by a low-dimensional subspace that depends on the aggregation function but not on the feature transformations. For all aggregation functions, the rank of the node representations collapses, resulting in over-smoothing for particular aggregation functions. Our study emphasizes the importance for future research to focus on rank collapse rather than over-smoothing. Guided by our theory, we propose a sum of Kronecker products as a beneficial property that provably prevents over-smoothing, over-correlation, and rank collapse. We empirically demonstrate the shortcomings of existing models in fitting target functions of node classification tasks., Comment: LoG 2023
Published: 2023

16. Curvature-based Pooling within Graph Neural Networks

Author: Sanders, Cedric, Roth, Andreas, and Liebig, Thomas
Subjects: Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract: Over-squashing and over-smoothing are two critical issues, that limit the capabilities of graph neural networks (GNNs). While over-smoothing eliminates the differences between nodes making them indistinguishable, over-squashing refers to the inability of GNNs to propagate information over long distances, as exponentially many node states are squashed into fixed-size representations. Both phenomena share similar causes, as both are largely induced by the graph topology. To mitigate these problems in graph classification tasks, we propose CurvPool, a novel pooling method. CurvPool exploits the notion of curvature of a graph to adaptively identify structures responsible for both over-smoothing and over-squashing. By clustering nodes based on the Balanced Forman curvature, CurvPool constructs a graph with a more suitable structure, allowing deeper models and the combination of distant information. We compare it to other state-of-the-art pooling approaches and establish its competitiveness in terms of classification accuracy, computational complexity, and flexibility. CurvPool outperforms several comparable methods across all considered tasks. The most consistent results are achieved by pooling densely connected clusters using the sum aggregation, as this allows additional information about the size of each pool., Comment: ECMLPKDD 2023 - Workshop on Mining and Learning with Graphs
Published: 2023

17. Peer-assisted teaching student tutors as examiners in an orthopedic surgery OSCE station – pros and cons

Author: Melcher, Peter, Zajonz, Dirk, Roth, Andreas, Heyde, Christoph-E., and Ghanem, Mohamed
Subjects: student tutor examiners, peer-assisted teaching, orthopaedic surgery OSCE, Surgery, RD1-811
Abstract: Background: The OSCE (objective structured clinical examination) is composed of oral and practical examination in order to examine students’ abilities to imply clinical examination techniques and to interact with patients. The examiners for this procedure can be either lecturers or peers. The aim of this work is to evaluate the peer-assisted teaching student tutors as examiners in an orthopedic surgery OSCE station. Methods: We analyzed the OSCE data from 2013 to 2015. During this period over 300 medical students were examined each year. An evaluation was conducted at an orthopedic station and examined by peer students to assess the advantages and disadvantages of peer-assisted teaching student tutors as examiners. Results: We have noticed that student peers are more flexible regarding their schedule and they have been well trained for OSCE. Concerning the economic aspects, student peers are clearly of major economic advantage.Disadvantages were not reported in our study probably because peers were well trained and the checklists are monitored regularly. Conclusion: Student peers in OSCE are of major advantage due to their flexible time schedule and relatively low costs. They must be well trained and the checklists are to be monitored regularly. Our study shows that peer tutor examiners conducted the examination as competent as lecture examiners. However, legal restrictions on the employment of students should be considered.
Published: 2016
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18. Bipolar hip arthroplasty as salvage treatment for loosening of the acetabular cup with significant bone defects

Author: Ghanem, Mohamed, Glase, Almuth, Zajonz, Dirk, Roth, Andreas, Heyde, Christoph-E., Josten, Christoph, and von Salis-Soglio, Georg
Subjects: bipolar hip arthroplasty, revision surgery, salvage procedure, Surgery, RD1-811
Abstract: Introduction: Revision arthroplasty of the hip is becoming increasingly important in recent years. Early primary arthroplasty and longer life expectancy of the patients increases the number of revision surgery. Revision surgery of hip arthroplasty is major surgery for the patients, especially the elderly, with significant risks concerning the general condition of the patient. The aim of this work is to evaluate the outcome of bipolar hip arthroplasty as a salvage procedure for treatment of loosening of the acetabular cup with significant acetabular bone defects after total hip replacement (THR) in multi-morbid patients.Patients and methods: During the period from January 1 2007 to December 31 2011 19 revision hip surgeries were performed in , in which the loosened acetabular cup was replaced by a bipolar head. The examined patient group consisted exclusively of female patients with an average of 75 years. The predominant diagnosis was “aseptic loosening” (84.2%). All patients in our study were multi-morbid. We decided to resort to bipolar hip arthroplasty due to the compromised general condition of patients and the major acetabular bone defects, which were confirmed intraoperatively. The postoperative follow-up ranged from 0.5 to 67 months (average 19.1 months). Results: Evaluation of the modified Harris Hip Score showed an overall improvement of the function of the hip joint after surgery of approximately 45%.Surgery was less time consuming and thus adequate for patients with significantly poor general health condition. We noticed different complications in a significant amount of patients (68.4%). The most common complication encountered was the proximal migration of the bipolar head.The rate of revision following the use of bipolar hip arthroplasty in revision surgery of the hip in our patients was high (21%). Despite the high number of complications reported in our study, we have noticed significant improvement of hip joint function as well as subjective pain relief in the majority of patients. We clearly achieved clinically satisfactory results in 14 patients.Conclusion: Bipolar hip arthroplasty is by no means to be regarded as standard procedure in revision surgery of THR. It provides an option or salvage procedure for patients with poor general condition in whom the quickest possible surgical intervention preserving mobility is required. This is particularly true for multi-morbid patients in whom sufficient acetabular fixation is not possible.
Published: 2016
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19. Outcome of total knee replacement following explantation and cemented spacer therapy

Author: Ghanem, Mohamed, Zajonz, Dirk, Bollmann, Juliane, Geissler, Vanessa, Prietzel, Torsten, Moche, Michael, Roth, Andreas, Heyde, Christoph-E., and Josten, Christoph
Subjects: periprosthetic infection, endoprosthesis infection, cemented spacer therapy, total knee replacement, Surgery, RD1-811
Abstract: Background: Infection after total knee replacement (TKR) is one of the serious complications which must be pursued with a very effective therapeutic concept. In most cases this means revision arthroplasty, in which one-setting and two-setting procedures are distinguished. Healing of infection is the conditio sine qua non for re-implantation. This retrospective work presents an assessment of the success rate after a two-setting revision arthroplasty of the knee following periprosthetic infection. It further considers drawing conclusions concerning the optimal timing of re-implantation.Patients and methods: A total of 34 patients have been enclosed in this study from September 2005 to December 2013. 35 re-implantations were carried out following explantation of total knee and implantation of cemented spacer. The patient’s group comprised of 53% (18) males and 47% (16) females. The average age at re-implantation time was 72.2 years (ranging from 54 to 85 years). We particularly evaluated the microbial spectrum, the interval between explantation and re-implantation, the number of surgeries that were necessary prior to re-implantation as well as the postoperative course. Results: We reported 31.4% (11) reinfections following re-implantation surgeries. The number of the reinfections declined with increasing time interval between explantation and re-implantation. Patients who developed reinfections were operated on (re-implantation) after an average of 4.47 months. Those patients with uncomplicated course were operated on (re-implantation) after an average of 6.79 months. Nevertheless, we noticed no essential differences in outcome with regard to the number of surgeries carried out prior to re-implantation. Mobile spacers proved better outcome than temporary arthrodesis with intramedullary fixation.Conclusion: No uniform strategy of treatment exists after peri-prosthetic infections. In particular, no optimal timing can be stated concerning re-implantation. Our data point out to the fact that a longer time interval between explantation and re-implantation reduces the rate of reinfection. From our point of view, the optimal timing for re-implantation depends on various specific factors and therefore it should be defined individually.
Published: 2016
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20. Die neue Ärztliche Approbationsordnung ÄApprO: Aktueller Stand und zu erwartende Herausforderungen

Author: Ghanem, Mohamed, Seemann, Ricarda, Fröhlich, Susanne, Heyde, Christoph-E., and Roth, Andreas
Published: 2024
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21. Preoperative dental screening can reduce periprosthetic infections of hip and knee endoprostheses in the first month after surgery: results of a cohort study

Author: Fenske, Fabian, Kujat, Benjamin, Krause, Leah, Meyer, Stephan, Sander, Anna-Katharina, Repmann, Jaqueline, Neuhaus, Michael, Haak, Rainer, Roth, Andreas, Lethaus, Bernd, Ziebolz, Dirk, and Schmalz, Gerhard
Published: 2024
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22. Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks

Author: Roth, Andreas and Liebig, Thomas
Subjects: Computer Science - Machine Learning
Abstract: Forecasting future states of sensors is key to solving tasks like weather prediction, route planning, and many others when dealing with networks of sensors. But complete spatial coverage of sensors is generally unavailable and would practically be infeasible due to limitations in budget and other resources during deployment and maintenance. Currently existing approaches using machine learning are limited to the spatial locations where data was observed, causing limitations to downstream tasks. Inspired by the recent surge of Graph Neural Networks for spatio-temporal data processing, we investigate whether these can also forecast the state of locations with no sensors available. For this purpose, we develop a framework, named Forecasting Unobserved Node States (FUNS), that allows forecasting the state at entirely unobserved locations based on spatio-temporal correlations and the graph inductive bias. FUNS serves as a blueprint for optimizing models only on observed data and demonstrates good generalization capabilities for predicting the state at entirely unobserved locations during the testing stage. Our framework can be combined with any spatio-temporal Graph Neural Network, that exploits spatio-temporal correlations with surrounding observed locations by using the network's graph structure. Our employed model builds on a previous model by also allowing us to exploit prior knowledge about locations of interest, e.g. the road type. Our empirical evaluation of both simulated and real-world datasets demonstrates that Graph Neural Networks are well-suited for this task.
Published: 2022

23. Hüftendoprothethik bei speziellen Bedingungen: Endoprothethik bei M. Paget

Author: Rickert, Markus, Roth, Andreas, Heller, Karl-Dieter, Section editor, Morlock, M. Michael, Section editor, Perka, Carsten, Section editor, Rudert, Maximilian, Section editor, Perka, Carsten, editor, Heller, Karl-Dieter, editor, Rudert, Maximilian, editor, and Morlock, Michael M., editor
Published: 2024
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24. Untersuchung des Hüftgelenkes und Pathophysiologie der Erkrankungen: Osteonekrose und transitorische Osteopenie

Author: Roth, Andreas, Rickert, Markus, Heller, Karl-Dieter, Section editor, Morlock, M. Michael, Section editor, Perka, Carsten, Section editor, Rudert, Maximilian, Section editor, Perka, Carsten, editor, Heller, Karl-Dieter, editor, Rudert, Maximilian, editor, and Morlock, Michael M., editor
Published: 2024
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25. Experiences in Testing Structures with Distributed Fiber-Optical Sensing

Author: Schmidt, Thomas, Roth, Andreas, Tonat, Leo, Schmidt, Gordan, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Rainieri, Carlo, editor, Gentile, Carmelo, editor, and Aenlle López, Manuel, editor
Published: 2024
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26. Analysis of the Behavior of Asphalts with and Without an Optical Measurement System in Cyclic Indirect Tensile Tests (CITT)

Author: Leopold, Mathias, Roth, Andreas, Kayser, Sascha, Thomas Schmidt, J. H., Herrmann, Joris, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Akhnoukh, Amin, editor, Kaloush, Kamil, editor, Souliman, Mena I., editor, and Chang, Carlos, editor
Published: 2024
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27. Perioperative outcome of primary total hip arthroplasty in octogenarians – A systematic review

Author: Rusche, Annemarie, Osterhoff, Georg, Roth, Andreas, and Schopow, Nikolas
Published: 2025
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28. Transforming PageRank into an Infinite-Depth Graph Neural Network

Author: Roth, Andreas and Liebig, Thomas
Subjects: Computer Science - Machine Learning, I.2.6, I.0
Abstract: Popular graph neural networks are shallow models, despite the success of very deep architectures in other application domains of deep learning. This reduces the modeling capacity and leaves models unable to capture long-range relationships. The primary reason for the shallow design results from over-smoothing, which leads node states to become more similar with increased depth. We build on the close connection between GNNs and PageRank, for which personalized PageRank introduces the consideration of a personalization vector. Adopting this idea, we propose the Personalized PageRank Graph Neural Network (PPRGNN), which extends the graph convolutional network to an infinite-depth model that has a chance to reset the neighbor aggregation back to the initial state in each iteration. We introduce a nicely interpretable tweak to the chance of resetting and prove the convergence of our approach to a unique solution without placing any constraints, even when taking infinitely many neighbor aggregations. As in personalized PageRank, our result does not suffer from over-smoothing. While doing so, time complexity remains linear while we keep memory complexity constant, independently of the depth of the network, making it scale well to large graphs. We empirically show the effectiveness of our approach for various node and graph classification tasks. PPRGNN outperforms comparable methods in almost all cases., Comment: Accepted at ECML-PKDD 2022
Published: 2022

29. Zwei Lehrstuhlinhaber obligat: Ergebnisse der KUOU-Sitzung im April 2024 in Seeheim

Author: Böcker, Wolfgang, Roth, Andreas, and Madry, Henning
Published: 2024
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30. Osteoporotische Wirbelkörperfrakturen

Author: Heyde, Christoph-E., Roth, Andreas, and Putzier, Michael
Published: 2023
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31. A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts

Author: Bravo, Laura, Simões, Joana FF, Cardoso, Victor R, Adisa, Adewale, Aguilera, Maria L, Arnaud, Alexis, Biccard, Bruce, Calvache, Jose, Chernbumroong, Saisakul, Elhadi, Muhammed, Ghosh, Dhruv, Gujjuri, Rohan, Harrison, Ewen, Ho, Michael WS, Kasivisvanathan, Veerappan, Kouli, Omar, Lederhuber, Hans, Li, Elizabeth, Löffler, Markus W, Isik, Arda, Marcus, Hani, Martin, Janet, McLean, Kenneth A, Minaya-Bravo, Ana, Modolo, María Marta, Nepogodiev, Dmitri, Pellino, Gianluca, Picciochi, Maria, Pockney, Peter, van Ramshorst, Gabriëlle, Riad, Aya, Sayyed, Raza, Sund, Malin, Gkoutos, Georgios, Bhangu, Aneel A, Glasbey, James C, Bravo, L, Cardoso, V, Glasbey, J, Chernbumroong, S, Nepogodiev, D, Simoes, JFF, Mclean, KA, Bhangu, AA, Gkoutos, G, Kadir, B, Omar, O, Revell, E, Bahrami-Hessari, M, Ahmed, Waheed-Ul-Rahman, Argus, Leah, Ball, Alasdair, Bhangu, Aneel, Bywater, Edward P, Blanco-Colino, Ruth, Brar, Amanpreet, Chaudhry, Daoud, Dawson, Brett E, Duran, Irani, Gujjuri, Rohan R, Jones, Conor S, Harrison, Ewen M, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Mann, Harvinder, Marson, Ella J, Mclean, Kenneth A, Norman, Lisa, Ots, Riinu, Outani, Oumaima, Santos, Irène, Shaw, Catherine, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, Xu, William, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Cox, Daniel, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Padmore, Greg, van Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Baiocchi, Glauco, Gomes, Gustavo Mendonça Ataíde, Lima Buarque, Igor, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Ng-Kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong-Lin, Calvache, Jose Andres, Perez Rivera, Carlos J, Danic Hadzibegovic, Ana, Kopjar, Tomislav, Mihanovic, Jakov, Avilés Jiménez, Pablo Mijahil, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El-Hussuna, Alaa, Batista, Sylvia, Lincango-Naranjo, Eddy, Emile, Sameh, Arévalo Sandoval, Danilo Alfonso, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Löffler, Markus W., Kwesi Acquah, Daniel, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera-Arevalo, Maria-Lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Ghosh, Dhruva, Kembuan, Gabriele, Brouki Milan, Peiman, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Fujimoto, Yuki, Kuroda, Naoto, Satoi, Sohei, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin-Young, Jang, Jamal, Mohammad, Karout, Lina, Gulla, Aiste, Rasoaherinomenjanahary, Fanjandrainy, Samison, Luc Hervé, Roslani, April Camilla, Durán Sánchez, Iran Irani, Gonzalez, Diana Samantha, Martinez, Laura, Martínez, María José, Nayen, Alejandra, Ramos-De 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Olson, Kristofor A., Etchill, Eric, Hirji, Sameer, Naunheim, Matthew, Drake, Frederick, Reinke, Caroline, Alecci, Anna, Vaysburg, Dennis, Rodriquez, Jennifer, Shih, Emily, Ban, Vin Shen, Coleman, Julia, Kaups, Krista, Giorgakis, Emmanouil, DiNome, Maggie, Bhutiani, Neal, Aiken, Taylor, Diehl, Thomas, Gosain, Ankush, Rattan, Rishi, Ghani, Muhammad Owais Abdul, Ruzgar, Nensi Melissa, Liveris, Anna, Glass, Nina, Paranjape, Charu, Chin, Theresa, Meola, Antonio, Nicholson, Kristina, Squiers, John, Lueckel, Stephanie, Reisenauer, Janani, Callcut, Rachael, Mansour, Ahmed, Berndtson, Allison, Kornblith, Lucy, Seegert, Sara, Martins, Paulo, Al-Shehari, Mohammed, Al-Raimi, Ibrahim, Ngulube, Allan, Siamuchembu, Maphios, Mushiwokufa, Willard, Mlambo, Busisiwe, Chinyowa, Simbarashe, Bollano, Enton, Zijaj, Lorena, Fatima zohra, Belabbes, Bali, Oussama, Benallel, Nassim, Abdoun, Meriem, Bouchenak, Kamel, Soualili, Zineddine, Bastet, Joaquin, Capitaine, Daniel, Centeno Lozada, Jorge, Esquivel, Carlos, Figueroa, Rodrigo, García, Pablo Martín, Mondino, Jose, Traverso, Rogelio, Berber, Norberto, Di Vincenzo, Marcela, Grassano, Bianca, Maricic, Maximiliano, Zezular, Damaris Idara Anabel, Abuawad, Carla, Albani Forneris, Agustin, Brandariz, Rodrigo, Burchakchi, Arturo, Buttaro, Martin, Cano Busnelli, Virginia, Carminatti, Tomas, Cereghini, Julian, Crespi Amor, María Sol, Figari, Marcelo, Gonzalez Salazar, Esteban, Higuera, Felipe, Llano, Lionel, Lobos, Pablo, Mc Loughlin, Santiago, Mendoza, Efrain, Mercado, Pedro, Moyano, Pablo, Noll, Florencia, Odetto, Diego, Ramos, María Lourdes, Saadi, Jose, Scherñuk, Jordán, Slullitel, Pablo, Taboada, María Victoria, Vagni, Roberto, Montal, Silvina, Alvarez, Fernando Andres, Bruera, Nicolás, Parodi, Matias, Picon molina, Héctor, Belisle, Diego, Esteban, Agustin, García, José Sebastian, Granero, Lucas, Yaryura Montero, José Gabriel, D’Addino, José Luis, John, Brooke-Smith, Mark, Hii, Amanda, Kundu, Nikhil, Marshall-Webb, Matthew, McVeay, Christina, Ong, Bee Shan, Parker, Dominic, Barnett, Dylan Richard, Buddingh, Karel, Dobbins, Christopher, Dudi-Venkata, Nagendra, Haque, Izhar-Ul, Herath, Matheesha, Lim, Alicia, Moller, Cea-Cea, Neo, Eu Nice, Neo, Eu Ling, Russell, Christine, Tourani, Saam, Tran, Steven, Yin, Yijie, Watson, Matthew, Rugendyke, Anya, Sercombe, Ashleigh, Tee, Chin Li, Batstone, Martin, Field, Michael, Scott, Benjamin, Charlton, Gabriella, Chen, Si, Gauri, Neha, Hayhurst, Ross, Jang, Seyoung, Zhang, Helen, Nagra, Sonal, Rudock, Gareth, Tan, Hannah, Underwood, Kirk, Youssef, Daniel, Bengeri, Savitha, Cheah, Hock Ping, Chen, Paul, Clark, Sara, Devan, Eliya, Fitt, Sophia, Gaul, John, Jolly, Danielle, Kane, James Dimitri, Kwok, Kelvin, Laura, Sharon, Lee, Vivian, Liang, Ina, Luo, Haili, Miles, Stephanie, Noor, Anthony, Simpson, Renwick, Cox, Aram, Thani, Nova, Egoroff, Natasha, Farik, Shebani, Moss, Jana-Lee, Salama, Paul, Phan, Du, Townend, David, Barnett, Stephen, Hasan Kheslat, Hajar, Jamieson-Grigg, Chloe, Larner, Brett, Proud, David, Riddiough, Georgina, Seevanayagam, Sivendran, Zhao, Chris, An, Vinna, Drake, Anna, Hunt, Benjamin, Jain, Anshini, Lim, Christopher Seng Hong, Luck, Tara, Maroske, Georgia, Roubos, Nicholas, Sengupta, Shomik, Tsigaras, Zac, Ward, Salena, Zhou, Jessie, Coates, Amy, Nataraja, Ramesh, Gillard, Andrew, Petrakis, Nikki, Qureshi, Maryum, Seow, Sean Ezekiel, Vivian-Taylor, Josephine, Wheatley, Jennifer, O’Connor, Brendan, Teague, Warwick, Hii, Michael Wei, Isaacs, Anna, Johnson, Mary Ann, Price, Veronique, Rowcroft, Alistair, Shaw, Kalai, Stark, Claire, Lauritz, Brianne, Ong, Chui Foong, Tang, Howard, Davis, Amelia, Peerally, Bibi Nabeeha, Aubin, Anne-Marie, Lim, Zhi Ying, Alsoudani, Ali, Amico, Francesco, Anning, Rebecca, Dale, Tyson, Duggal, Anchal, Ennis, Brendan, Fu, Yi Xin Joanna, Gani, Jonathan, Gelzinnis, Scott, Hadlow, Claudia, Hardstaff, Ruth, Lau, Wayne Yan, Liang, Hsin-Ping, Lim, Daniel, Mcilwain, Elysse, Ming, Yan Joyce, Ocsan, Ryan James, Organ, Nicole, Paterson, Amanda, Perez Cerdeira, Marisol, Ting, Caleb, Willoughby, Ellisha, Bailey, Ashley, Narayanan, Viswanathan, Wilkes, Anna, Zhao, Jie, D’Souza, Carl, Forbes, Clara, Haddleton, Monique, Mohammed Abdul, Naseer, Archer, Leigh, Dilevska, Tina, Hans, Tasvinder, Kumar, Mohit, Pham, Terence, Picazo Pineda, Fernando, Suk-Udom, Supisara, Jeyamanoharan, Nivedan, Sala, Michael, Dravid, Madhulika, McCartney, Conor, Sam, Apostolou, Christos, Berney, Christophe, Lam, Andrew, Ma, Vanessa, Cope, Jennifer, Llorando, Alyssa, Mahin, Humaira Haider, Syed, Faisal, Ireland, Patrick, Zhu, Bonnie, Zitt, Matthias, Königsrainer, Ingmar, Allmer, Caterina, Mitteregger, Martin, Seitinger, Gerald, Duller, David, Mathew, Erwin, Skias, Christoph, Brinskelle, Petra, Holzmeister, Clemens, Kahn, Judith, Kresic, Josip, Lindenmann, Joerg, Lumenta, David, Puchwein, Paul, Singer, Georg, Wolf, Axel, Arco, Daniel, Kilic, Nura, Widschwendter, Peter, Freyschlag, Christian, Graber, Michael, Hirsch, Jakob, Kuen, Marlene, Liebensteiner, Michael, Messner, Franka, Messner, Alex, Naegele, Felix, Osl, Antonia, Ower, Cornelia, Rauchegger, Teresa, Reimer, Daniel, Sokolovski, Filipp, Süss, Markus, Thaler, Martin, Zehetner, Claus, Allerstorfer, Jakob, Haslhofer, David, Pisecky, Lorenz, Poier, Nikolaus, Schmolmüller, Christoph, Zwittag, Paul, Windischbauer, Amadeus, Fischer, Ines, Kirchweger, Patrick, Saini, Thomas, Berger, Julian, Fraz, Wolfgang, Nia, Arastoo, Kenez, Mihaly, Nichita, Margit, Noe, Chiara, Borhanian, Kurosch, Emmanuel, Klaus, Gantschnigg, Antonia, Grechenig, Michael, Gruber, Ricarda, Manzenreiter, Lisa, Schredl, Philipp, Weitzendorfer, Michael, Gruber, Michaela, Grünbart, Martin, Kemmetinger, Vanessa, Mosshammer, Victoria, Schaetz, Tobias, Lanner, Maximilian, Binder, Alf-Dorian, Bernardi, Martin H., Dawoud, Christopher, Foessleitner, Philipp, Grimm, Christoph, Pesta, Maximilian, Pillerstorff, Robert, Riss, Stefan, Scheriau, Georg, Fisus, Andreea, Ruiss, Manuel, Meindl, Nikolaus, Primavesi, Florian, Steiner, Florian, Falkensammer, Eva, Knotzer, Hans, Trivik-Barrientos, Felipe, Alam, Mahmood, Mulla, Husain, Qader, Kawthar, Shirazi, Ahmed, Juma, Isam, Waheed Akbar Mohamad Akbar Nawab Deen, Fatema, AbdulQadir, Seemal, Jabr, Abdulla, Almoosa, Noora, Alam, Mohammed Shadrul, Basher, AKM Khairul, Islam, S.M. Nazmul, Khan, Sadia, Mannan, Iftekhar Ibne, Corbin, Sasha, O’Shea, Margaret, Phillips, Emil, Straltsov, Vladislav, Lyzikov, Alexei, Borges, Mafalda, Vleminckx, Nils, Bontinck, Julie, Van Haver, Anne-Sophie, Viste, Claire, Van Daele, Elke, Jansen, Yanina, Messaoudi, Nouredin, Ruyssers, Michael, Van Eetvelde, Ellen, Akpla, Marcellin, Agossou, Hermann, Aouagbe Behanzin, Hulrich, Yome, Hugues, Boukari, Alassan, Amossou, Labissi Francois, Dossou, Francis, Boras, Miran, Čuljak Blagojević, Ivana, Gunaric, Filip, Letica, Ludvig, Martinovic, Vlatka, Miskovic, Josip, Rastović, Pejana, Sesar, Irena, Favaretto Filho, Rodolfo Jose, Rodrigues, Rodrigo, Schalge Campioto, Débora, Alonso, Nivaldo, Fernandes Rezende, Ricardo, Marson, Fernando Augusto Lima, Accorsi Neto, Alfeu, Accorsi, Guilherme, Machareth, Camila, Viegas Moura, Barbara, Guarienti, Luciano, Becker, Karin, Dias, Andre, Girardi Fachin, Camila, Stychnicki, Adriano Seikiti, Avelino, Melissa, Elaine Francisca, Amorim, Robson, Bellotti Leão, Maria Eduarda, Melo da Camara, Isabelle, Silva Junior, Rubem Alves, Soares Da Silva Menezes, Agna, Cavazzola, Leandro Totti, Roloff Cardoso, Guilherme, Silva Neto, Brasil, Soares, Tilaê, Guerra, Enilde Eloena, Salem, Moacyr, de Campos Prado, Caio Antonio, Zani, Ana Carolina Tagliatti, Lourenço Gomes dos Santos, Carolina, Quintana, Silvana Maria, Veccechi Bijos Zaccaro, Marília, Lima, Leonardo, da Cunha Viana Júnior, Alonço, Trindade Martins, Isabela, R Oliveira, Priscila, Schmitz Nunes, Kamilla, Abdallah, Emne, Facure, Luciana, Kupper, Bruna, Leite, Fernanda, Marques, Narimã, Scintini Herbst, Ana Carolina, Soares Dos Santos, Silvana, Gonçalves, Rodrigo, Machado, Vinicius, Nadal, Luis Roberto, Pansani, Adrieli, Simonsen, Marcelo, Tsuchiya, Daniela, Vasconcelos, Vladimir, Kim, Nam Jin, Nunes, Rafael, Pinto, Fabio, Sigoli Pereira, Thiago Henrique, Volpe, Gustavo Jardim, Nardi, Caroline, Braz de Oliveira, Layze, Ribeiro, Ivonizete Pires, Sousa, Álvaro Francisco Lopes de, Freitas, Marcelo Augusto Faria, Rodrigues da Cunha, Juliano, Dimitrov, Dobromir, Gyokova, Elitsa, Neykov, Vasil, Atanasov, Boyko, Kamenova, Paolina, Yotsov, Tsanko, Spassov, Kolyo, Tsankov, Tsanko, Brown, James, Bali, Krittika, Bigam, David, Dajani, Khaled, Hong, Dennis, Luketic, Lea, Mayer, Robert, McGee, Jacob, Yang, Homer, Hanson, Melissa, Hopkins, Brent, Merchant, Richard, Belzile, Etienne, Boucher-Kovalik, Sofia, Corriveau-Durand, Simon, Cote, Mathieu, Côté, Mathilde, Demers, Suzanne, Desbiens, Christine, El Ouazzani, Mehdi, Gosselin, Karo, Maheux-Lacroix, Sarah, Nadeau, Sylvie, Nguyen, Sebastien, Pelet, Stéphane, Wood, Melissa, Atrey, Amit, Ellenbogen, Yosef, Kellett, Sorcha, Suresh, Hrishikesh, Gentili, Fred, St. Jacques, Leslie, Tabasinejad, Raha, Hsiao, Marvin, Broe, Claire, Grey, Rebecca, Lindberg, Andrew, Mata Gutierrez, Juan, Phillips, Drew, Fernández, Esteban, Ochoa Gaete, Katherine, Sandoval Tobar, Mauricio, Reyes, José Tomás, Rivera, Barbara, Cohn, David, Recabal, Pedro, Sandoval, Camilo, Pincheira, Camila, Torres, Janina, Valenzuela, Marco, Yang, Kun, Zhang, Yuexin, Cunchuan, Wang, Yang, Wah, Liang, Tingbo, Caicedo, Camilo, Perez Granados, Carolina, Serrano, Oscar, Vega Calvera, Andrea Juliana, Acosta Buitrago, Lina M., Cabrera Rivera, Paulo Andrés, Cormane Alfaro, Valeria, Guerrero-Becerra, Albert Franz, Kadamani Abiyomaa, Akram, Polanía Sandoval, Camilo Andrés, Roman Ortega, Carlos Fernando, Téllez, Manuela, Arias-Amézquita, Fernando, Escorcia, Elkin, Herrera-Almario, Gabriel, Monsalve, Guillermo, Caicedo Giraldo, María Alejandra, Castillo Florez, Maria Carolina, Cendales, María Angelica, Daniel, Mario, Espitia, Hernando, Navarro, Juan Carlos, Parra Abaunza, Katherine, Pulido, Eliana, Riveros Castillo, William Mauricio, Rubiano, Wilson, Salgado Tovar, Javier Mauricio, Trillos, Marcial, Villate leon, Juan pablo, Becerra Mendez, Luis, Beltran, Rafael Jose, Calderon Quiroz, Pedro Hernando, Cervera Bonilla, Sergio, Garcia Mora, Mauricio, Mariño, Ivan, Pinilla Morales, Raúl Eduardo, Puerto, Angela, Quintero-Ortíz, Ma. Andrea, Suarez, Raul, Velez Bernal, Jorge Luis, Camargo Gómez, Daniela, Christian kammerer, Acuna Saravia, Maria Fernanda, Arroyave, Roberto, Barreto Angulo, Jose Maria, Dueñas-Ramirez, Juan Carlos, Escobar Vidarte, Oscar Andres, Gomez, Laura, Gomez, Alejandro, Herrera Castañeda, Enrique, Hinaoui, Marisol, Idrobo Escobar, Anuar Armando, Llanos Lucero, Carlos Antonio, Montoya Casella, Antonio José, Perea Serna, Andrea Carolina, Ríos-Samper, Gabriel, Sandoval, John, Sarmiento Ramirez, Guillermo Alberto, Zuluaga Zuluaga, Mauricio, Figueroa, Juan Sebastian, Gonzalez Mosos, Maria Fernanda, Jaramillo Roncancio, Juan Jose, Mosos, Monica, Ramirez, Juan Sebastian, Idarraga Ramírez, Leidy Natalia, Marin Gonzalez, Ana Maria, Mejia, David Alejandro, Vanegas, Luis Emiro, Aruachan Vesga, Sandra, Martinez Estrada, Gustavo Antonio, Giraldo Velasquez, Angela Maria, Tovar, Jesus Hernan, Tovar, German Alirio, Buesaquillo, Christian Ali, Olave Montaño, Victor David, Genda, Eben-ezer, Eboma, Fabrice, Grulović, Karlo, Bosak Versic, Ana, Srsen Medancic, Suzana, Brkic, Lucija, Cokarić, Sara, Tomić, Josipa, Brzic, Domagoj, Dijan, Emilio, Grgec Dragicevic, Maja, Konjevoda, Suzana, Morović, Domagoj, Perišić, Gordan, Zuzul, Matea, Anzic, Srdan Ante, Carevic, Iva, Biočina, Bojan, Bobovec, Dino, Bumber, Boris, Duric Vukovic, Katarina, Jelčić, Ivan, Kastelan, Zeljko, Kolak, Juraj, Pasini, Miram, Penezić, Luka, Prstacic, Ratko, Romić, Ivan, Tomic, Mislav, Luksic, Ivica, Panayiotou, Yiannis, Stavrinidou, Olga, Yiallourou, Anneza, Michal, Burda, Lukáš, Gawel, Wladyslaw B., Lerch, Milan, Macečková, Nicole, Simetka, Ondrej, Vavra, Petr, Zelenik, Karol, Přibyl, Martin, Klíma, Karel, Pirmorad, Setareh, Hotová, Zuzana, Mladěnka, Aleš, Bozo, Nulvin, Hviid, Louise, Kristensen, Helle Ø, Paulsen, Laerke, Ebbehøj, Anders Lyng, Jönsson, Maria Lovisa, Krarup, Peter-Martin, Otte, Helena, Smith, Henry, Bælum, Jens Kristian, Ellebæk, Signe Bremholm, Collado Expósito, María Mabel, Crespo, Aldo, D’óleo García, Claudio Samuel, Figueroa, Jatnna, Garcia-Dubus Rodriguez, U, Guzman, Lillian, Lopez, Ariela, Maletta Francisco, Leeany, Munoz, Herisardy, Perez Fernandez, Maricely Ambar, Rodríguez, Ada, Soto, Joel, Ubinas, Raul, Villegas, Aaron, Acra-Tolari, Ricardo, Beltran, Larissa, Betances, Luis Fernand, Díaz Vásquez, Pedro Pablo, Fernandez, Damaris, Figueroa Germosen, Jiomar Manuel, Mejia De la Cruz, Dolores, Ortiz De La Cruz, Fabio, Pelletier, Gabriela, Próspero Enrique, Rodriguez Pumarol, Suero Almanzar, Irina, Negrete Ocampo, José Ricardo, Sallam, Ibrahim, Sherief, Mohamed, Abdou, Mostafa, Abo Shanab, Ahmed, Abodeeb, Aya, Aboelkhel, Roger, Abosamak, Nour Eldin, Abouelnagah, Yossof, Adel, Dina, Ahmed, Sara, Alberkamy, Abdelrahman, Ali, Ahmed, Ashraf, Olfat, Darwish, Sara, El kharashy, Rasha, Elbadawy, Seifeldin, Elsaka, Alromisaa, Ewedah, Moataz, Ezz, Yara, Gadelrab, Ziyad, Hafez, Nour, Hafez, Youssef, Hassanin, Mohamed, Hussein Aly Salama Aly, Hamza, Ibrahim, Abdelrahman, Mahmoud Abo shabana, Alaa, Mourad, Mohamed, Mubarek, Kamilia, Omar, Samaa, Ragal, Marawan, Romany, John, Salem, Alaa, Samir Abdelaal, Ahmed, Shehata, Abdelrahman, Shenit, Karim, Yehia, Nermin, Khaled Mohamed Eid, Omar, Ibrahim Elsayed, Omar, Shehata, Mostafa Ahmed, Abd El-Ghani, Wael, Abd Elazeem, Hossam Aldein S., Abdalla, Shimaa, Abdel-Aleem, Mahmoud, Abdelfattah, Mahmoud, Abdelhafez, Mohammed, Abdelkarem, Mohamed M., Abubeih, Hossam, Ahmed, Nagm Eldin Abu Elnga, Ahmed, Ahmed, Ahmed Saad, Sarah, Ali, Abdelrahman Ahmed Abdelrahman, Elmaghraby, Khaled, Elsdfy, Shady, Eltayeb, Almoutaz, Essam, Esraa, Gadelkareem, Rabea, Ghoneim, Ahmed, Hamada Takrouney, Mohammed, Hasan, Ahmad, Hassanin, Mohamed Abdelghafor, Mahran, Wesam, Mahrous, Doha, Ragab, Abdelrahman, Sabry, Aya, Safwat, Hadeer, Saleh, Ahmed, Samir, Ahmed, Sayed, Esraa, Taher, Mohamed Gamal, Yousof, Ebrahim Ahmed, Youssef, Ahmed, Zein Elabedeen, Omar, Ali, Samar, Elbehairy, Gehad, Eleisawy, Mahmoud, Elgendy, Abdelrahman, Elhawary, Rewan, Hamdy, Mahmoud, Hassan, Gehad, Nowar, Mostafa, Sabry, Hesham, Tarek Said-elnaby, Ahmed, Zahed, Mohamed, Zahran, Mohamed, Zoghary, Ahmed Zaki, Atef, Mohamed, Abdelhamid, Mahmoud Hossameldin Saad, El Fiky, Lobna, ElGarhy, Ibrahim, Wahba, Abdelrahman, Youssif Omar Fouad, Omar, Abdelsamed, Ahmed, Elsalhy, Mohamed, Eldesouky, Omnia, Wael Mostafa Khalil Bahi, Abdullah, Tawheed, Ahmed, Al-oribi, Saeid, Aly, Nuran Khaled, ElFiky, Mahmoud, Nabil, Ahmed, Samir Farahat, Ahmed, Soliman, Mostafa, Ghaly, Galal, Abbas, Alzhraa Salah, Ibraheem, Maher, Bakry, Abdelrahman, Jammal, Mohamed, M Makram, Abdelrahman, Adel abdelaty, Ahmed, Fayad, Elsayed A., Sallam, Moataz, Elfeki, Hossam, Elsaid, Mahmoud, Mostafa, Mohamed, Sakr, Ahmed, Shetiwy, Mohamed, Tawakl, Noura, Yunes, Asmaa, Atallah, Khalid, Shetiwy, Mosab, Abdelmawla, Ahmed, Abdrabou, Ahmed, Abubakr, Asmaa, Al Gohary, Rawda, Elsabagh, Alaa, Elshabrawy, Enas, Hafez, Ahmed, Mikhail, Pola, Mohamed, Mervat, Nada, Ahmed, Omran, Janna, Salem, Osama, Selim, Salma, Shalaby, Ghada, Wahbah, Mahmoud, Zakaria Abdelbary, Eman, Zayan, Ahmad Helmy, Afify, Abdelrahman, Mohamed Ahmed, Mostafa, Abdeldayem, Hesham, Abdelkader Salama, Ibrahim, Ammar, Khaled, Ayoub, Islam, Gad, Emad Hamdy, Hammad, Essam, Macshut, Mahmoud, Shoreem, Hany, Soliman, Hossam Eldeen, Eldaly, Abdullah, Mashaly, Sarah, Abd-Elsalam, Sherief, Abdel-Elsalam, Wafaa, Morsy, Mohamed Sherif, Nasreddin, Mohammed, Sarsik, Sameh, Kams, Liisa, Rätsep, Tõnu, Riips, Karolin, Abebe, Kirubel, Asfaw, Fitsum, Eshete, Mahder, Gedefaw, Yetsedaw, Menjeta, Abeje, Muleta, Mahteme Bekele, Sefera, Sena, Teklu, Daniel, Tirfe, Leake, Worku, Bereket, Eado, Yegeremu, Woldemariam, Mersha Abebe, Alemu, Megersa, Azmach, Dawit, Mamo, Dr.Mickyas, Menkir, Abel, Woldemariam, Dereje, Wubishet, Estifanos, Supha, Melka, Abebe, Nebyou, Chanie, Abera, Gebre, Hiwot, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Sahlu, Abat, Tiruneh, Abraham Genetu, Zewdneh, Betelhem, Fentaw, Jibril, Tabore, Ketema, Addisalem, Abreha, Tassew, Abdissa, Desalegn, Tesfaw, Mequannet, Asmamaw, Dawit, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Girma, Adissu, Shimelash, Dagim, Ayalew, Tewabe, Kassahun, Berhanu, Mulugeta, Esubalew, Ibrahim, Adem, Mekete, Alem, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Siyoum, Eneyew Getachew, Zeleke, Ewunetu, Degefe, Derje Worku, Eliyas, Nebiyu, Deressa, Yadani, Melese, Lemi, Muleta, Lemesa, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Dr.Gebreagziabher, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Moukoko, Didier, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Doussot, Alexandre, Onorati, Ilaria, Radu, Dana, Marion, Herjean, Trilling, Bertrand, Boleslawski, Emmanuel, Noiret, Barbara, Aubry, Estelle, Christou, Niki, Usseglio, Julie, Denis, Waast, Regenet, Nicolas, Rigaud, Jerome, Anract, Philippe, Dohan, Anthony, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Thouement, Clermidi, Pauline, Langlais, Tristan, Leonelli, Lorenzo, Thomin, Anne, Athiel, Yoann, Cathala, Nathalie, Levy-Zauberman, Yael, Macek, Petr, Mombet, Annick, Ollat, Didier, Fabrice, Chartier-Kastler, Emmanuel, Chereau, Nathalie, Melot, Charlotte, Turco, Célia, Chouillard, Elie, Frasca, Denis, Livin, Marie, Mahmoud, Fedy, Sulpice, Laurent, Cazemajou, Clément Thierry, Nyangoh Timoh, Krystel, Renault, Annaëlle, Cherkaoui, Zineb, Vix, Michel, Gornes, Hugo, Berthoumieu, Pierre, Pierre, Trocard, Del, Mathilde, Vancon, Antoine, Machemedze, Solomon, Muhemi, Roger, Ndizeye, Olivier, O’Connor, Jennifer, Tchoba, Simplice, Schäfer, Benedikt, Wallqvist, Julia, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Goßlau, Yvonne, Maksymiw, Florian, Sommer, Florian, Sommer, Björn, Loch, Florian N, Aghalarov, Ilgar, Braumann, Chris, Horn, Julian, Egger, Eva, Enderes, Jana, Strieth, Sebastian, Treede, Hendrik, Wittmann, Maria, Marche, Benedikt, Schulz, Sissy-Amelie, Fuchs, Hans, Meisel, Cornelia, Petzold, Andrea, Knoefel, Wolfram Trudo, Solodarenko, Oleksandra, Grützmann, Robert, Hackner, Danilo, Faqar-Uz-Zaman, Sara Fatima, Fung, Christian, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Strähle, Jakob, Becker, Johannes, Gonschor, Bernhard, Herbolzheimer, Marit, Hecker, Matthias, Reichert, Martin, Sander, Michael, Schmidt, Götz, Schneck, Emmanuel, Kleeff, Jorg, Lorenz, Kerstin, Thomssen, Christoph, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Klauke, Friederike, Schmidt, Birte, Vinz, Franziska, Sander, Johannes, Betz, Christian Stephan, Bewarder, Julian, Burg, Simon, Klatte, Till Orla, König, Daniela, Köpke, Leon-Gordian, Stangenberg, Martin, Roux, Frederic, Hakami, Ibrahim Abdullah, Mall, Julian W, Graeb, Christian, Huber-Strößner, Kristin, Pempe, Christina, Kelly, Kathrin, Siebert, Julia, Agrawal, Rachit, Qureischie, Homeira, Meyer, Frank, Turial, Salmai, Al-Nawas, Bilal, Battista, Marco Johannes, Heider, Julia, Mueller, Lena Katharina, Jentschura, Sina- Louisa Patrizia, Kowalewski, Karl-Friedrich, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Fichter, Andreas, Schäffer, Christoph, Wegmann, Helmut, Aghamaliyev, Ughur, Böcker, Wolfgang, von Ehrlich-Treuenstätt, Viktor H., Ladurner, Roland, Schlager, Justin Gabriel, Smolka, Wenko, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Hölz, Katharina, Prantl, Lukas, Kröger, Marie, Niemeier, Andreas, Sras, Yara, Steidle, Christoph, Dayan, Davut, Greve, Jens, Löbig, Niklas, Schochter, Fabienne, Wezel, Felix, Schmidbauer, Stefan, Boenicke, Lars, Degener, Stephan, Seiberth, Rose, Smit, Marieke, von Rundstedt, Friedrich-Carl, Germer, Christoph-Thomas, Lock, Johan, Lotz, Christopher, Schlesinger, Tobias, Schmid, Benedikt, Treutlein, Agnes, Agyeman-Duah, Nana Kwaku, Appiah, Enoch, Gakpetor, Delali, Minlah Allah, Stephen, Adu-Aryee, Nii Armah, Agboadoh, Nelson, Bediako Bowan, Antoinette, Brown, George Darko, Clegg-Lamptey, Joe-Nat, Fenu, Benjamin Sena, Kumassah, Philemon, Hussey, Romeo, Agbeno, Evans Kofi, Amoako-Boateng, Mabel, Debrah, Samuel, Doku, Dr Kingsley, Mensah, Philip, Nortey, Michael, Opandoh, Isabella Naa Morkor, Yigah, Makafui, Jiagge, Nuna, Acquaye, Jane, Agyemang-Prempeh, Akosua, Amo-Antwi, Kwabena, Amoah, Michael, Amoah, George, Aning, Daniel Gyawu, Annor Mintah, Dominic, Arthur, Joshua, Darko- Asante, Regina, Gaveh, Valerie, Gyamfi, Frank Enoch, Jonathan, Boakye - Yiadom, Konney, Thomas Okpoti, Kyei, Ishmael, Nimako, Boateng, Ofosu-Barko, Ben Blay, Osabutey, Anita, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abdul-Mumin, Alhassan, Amadu, Munira, Azahares Leal, German, Buunaaim, Alexis, Cheyuo, Ernest, Daboo Salifu, Latif, Issaka, Adamu, Yakubu, Musah, Grypiotis, Ioannis, Papadopoulou, Triada, Korkolis, Dimitrios, Thomakos, Nikolaos, Dellaportas, Dionysios, Dimitra, Papalouka, Hadjizacharias, Theodoros, Konstadoulakis, Manousos, Massaras, Dimitrios, Vezakis, Antonios, Avgerinos, 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Naskar, Upasana, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Priya, Noopur, Parijat, Anand, Anand, Akshay, Chaurasia, Akhilanand, Enny, Loreno E., Kumar, Ambrish, Mishra, Brijesh, Pandey, Amita, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Pushp, Singh, Uma, Singh, Urmila, Srivastava, Chhitij, Verma, Manju Lata, Yadav, Awdhesh, Chanthar, K.m.m.vishvak, Hoysal, Dileep, Mishra, Anjali, Batra, Nitin, Bhatti, Arun, Dhar, Tapasya, Dutta, Rohini, Haque, Parvez David, Luther, Anil, Mahajan, Amit, Pargal, Dr Pinki, Samuel, Abhishek, Singh, Inderjot, Singh Grewal, Sarvpreet, Singhania, Anusha, Thomas, Josy, Krishna, Sunil, Singh, Narinder, Agarwal, Sunny, Balasubramaniam, Srikant, Mhamane, Rameshwar, Nirgude, Anand, Parab, Sandesh, Peswani, Amit, Sahu, Anjana, Samel, Sarika, Shah, Fagun, Abraham, Bejoy, Asari, Ashishkumar, Badhe, Vivek, Badhwar, Sanjiv, Bothara, Vipul, Dalal, Anuj, Date, Avinash, Deshpande, Mandar, Doshi, Anirudha, Gade, Maya, Gajjar, Shreyash, Ghugare, Dr bhavisha, Jain, Divakar, Jenasamant, Saumya Sekhar, Joshi, Vinay, Kalwadia, Neha, Kayal, Akshat, Kulkarni, Yogesh, Mistry, Rajesh, Mulchandani, Manoj, Parab, Dr. Mrunal, Pednekar, Abhinav, Rahmani, Faizan, Rajput, Sunil, Sandlas, Gursev, Sarkar, Hrishikesh, Shetty, Sanket sadanand, Shukla kulkarni, Anshumala, Thete, Raghavendraswami, Wasnik, Shruti, Dhumane, Parag, Sharma, Rahul Deo, Deshmukh, Anuja, Gupta, Stuti, Nayak, Prakash, Thiagarajan, Shivakumar, Tiwari, Virendra Kumar, Voppuru, Saiesh Reddy, Bajpai, Minu, Farooque, Kamran, Parshad, Rajinder, Sharma, Vijay, Bansal, Kuldeep, Bhardwaj, Rohit, Mittal, Abhishek, Ponnusamy, Sabarirajan, Himani, Gadekar, Anup, Panjwani, Taufiq, Kandwal, Pankaj, Kumar, Shashank, Poonia, Dharma Ram, Sadhasivam, Saravanan, Choudhury, Yousuf, Das, Devishmita, Goala, Subhadra, Singha, S Thoibisana, Singha, Damayanti, Parray, Fazl, Shah, Raahil, Wani, Rauf, Hegde, Siddhi, Ankadavar, Dr.sushil, Bafna, Darshan, Lad, Parag, Chisthi, Meer, Jothi, Harihara, C. Mathew, Godwin David, Abel, Livingston, Barla, Ravi Kishore, Benjamin, Santosh, Bliss, Jeremy, Ete, Geley, James, Deeptiman, Jesudason, Mark Ranjan, Karnan, Gomathi, Mark Samuel, Vasanth, Nathan, Senthil K, Selvaraj, Daniel, Surendran, Suraj, T D, Hariharan, Thangaraj, Santhosh Kumar, Thomas, Varghese, Dilmy, Mohammad Adya Firmansha, Pratama, Dedy, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Anam, Khoirul, Sugianto, Julius Albert, Lestari, Mayang Indah, Amba, Erick Gamaliel, Apriawan, Tedy, Wathoni, Roidah Taqiyya Zahra, Widyastuti, Yunita, Yun Jufan, Akhmad, Etezadpour, Mohammad, Mehrad-Majd, Hassan, Rajaei, Parisa, Mehdizadeh, Mohammad, Soltani, Mina, Ali Moazami Pour, Gholamreza Azarnia, Alizadeh, Narges, Hossein Mokarami, Tehrani, Shahrzad, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Fatemi manesh, Hassan, Hejazi, Seyed fakhreddin, Pezeshki Modarres, Mahdi, Shafiee, Ali, Vafaeimanesh, Jamshid, Hosseini, Elahe, Nikoupour, Hamed, Bastaninejad, Shahin, Firouzifar, Mohammadreza, Motasaddi zarandy, Masoud, Yazdani, Nasrin, Mortazavi, SM Javad, Ahmadi, Sayedali, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Al-Isawi, Ali, Al-Masood, Mohammed, Gahtan, Yarub, Ahmed, Abdullah, Muhssein, Haidar, Ekwere, Bosom, Essajee, Murtaza, Chan Chin, Bruno, Edwards Murphy, Amy, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Kayyal, Mohd yasser, Lyons, Maria, Ng, Mei Yee, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Harris, Johnathon, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Salloum, Donohoe, Emma, Larkin, John, Lynch, Thomas Hugh, Manecksha, Rustom, Nagassima, Katharina, Barry, Mary, Dowdall, Joseph, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Murphy, Ben, Njeze, Nwabundo, Reynolds, Ian Sean, Winter, Des, Ravi, Akshaya, Ridgway, Paul, Fowler, Amy, McAnena, Peter, Bahadoor, Muhammad Usaama, Khalid, Mohamed Hamed, Mujtaba, Syed Nadeem, Sarwar, Muhammad assam, Sugrue, Michael, Varzgalis, Manvydas, Jones-Whiting, Larne, Lim, Seantee, Sara, Al-Mukhaizeem, Youssef, Crowley, Clare, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Hill, Rhodri, Khalid, Muhammad Abdullah, Majeed, Zubair, McCullough, Peter, Neary, Peter, Noone, Anthony, O’Kelly, John, Abu abed, Arsan, Haim, Nadav, Hershkovitz, Yehuda, Majadla, Omar, Rabin, Igor, Zmora, Osnat, Demma, Yonatan Avraham, Fishman, Yuri, Farkas, Amicur, Gozal, Yaacov, Greenman, Dmitry, Ostrovsky, Israel Alexander, Pardes, Rivka, Shahar, Tal, Teren, David, Yahud, Reuven, Yellinek, Shlomo, Cianci, Pasquale, Minafra, Marina, Restini, Enrico, Bussolin, Edoardo, De Prizio, Marco, Sulce, Rezart, Poiasina, Elia, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Boussedra, Safia, Cescon, Matteo, Cipolli, Alessandro, Daddi, Niccolo’, De Crescenzo, Eugenia, De Iaco, Pierandrea, Del Gaudio, Massimo, Della Gatta, Anna Nunzia, Droghetti, Matteo, Giorgini, Federico A., Lanci Lanci, Antonio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Perrone, Anna Myriam, Pignatti, Marco, Puglisi, Silvana Bernadetta, Rottoli, Matteo, Schiavina, Riccardo, Serenari, Matteo, Serra, Margherita, Tesei, Marco, Violante, Tommaso, Aspide, Raffaele, Carretta, Alessandro, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Rosetti, Vittoria, Sturiale, Carmelo, Donati, Davide Maria, Palmerini, Emanuela, Berselli, Bruno, Bolognesi, Silvia, Farnia, Francesco, Maremonti, Pietro, Razzaboni, Alessandra, La Mendola, Roberta, Arrigoni, Giulia, Baiocchi, Gian Luca, Molfino, Sarah, Panciani, Pier Paolo, Sartori, Enrico, Zanin, Luca, Perrone, Fabrizio, Cappellani, Alessandro, Giaquinta, Alessia, Gioco, Rossella, Veroux, Pierfrancesco, Cianci, Antonio, Lo Giudice, Arturo, Russo, Giorgio Ivan, Sarpietro, Giuseppe, Scandura, Carmen Emanuela, Barca, Ida, Carnevali, Adriano, De Paola, Gilda, Giannaccare, Giuseppe, Sammarco, Giuseppe, D’Andrea, Marcello, Tosatto, Luigino, Mucilli, Felice, Muraglia, Angelo, Giuliani, Domenico Benvenuto, Segalini, Edoardo, Daniele, Alberto, Gelarda, Enrico, Olearo, Elena, Puppo, Andrea, Testa, Valentina, Porta, Andrea, Birindelli, Arianna, Bernabei, Massimiliano, Feo, Carlo V., Virgilio, Edoardo, Bartolini, Ilenia, Bottari, Andrea, Checcucci, Carlotta, De Vincenti, Rosita, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Maltinti, Gherardo, Taddei, Antonio, Michelagnoli, Stefano, Maccagnano, Giuseppe, Pesce, Vito, Ercolani, Giorgio, Fappiano, Francesca, Barberis, Andrea, Filauro, Marco, Santoliquido, Matteo, Aprile, Alessandra, Barra, Fabio, De Rosa, Raffaele, Ferrero, Simone, Sparavigna, Marco, Vagge, Aldo, Gambardella, Denise, Tedesco, Manfredo, Spampinato, Marcello Giuseppe, Chiarelli, Marco, Grandi, Samuele, Lenzi, Riccardo, Muscatello, Luca, Germano’, Antonino Francesco, Giani, Alessandro, Bissacco, Daniele, Cassinotti, Elisa, Pignataro, Lorenzo, Torretta, Sara, Armellin, Daniele, Basato, Silvia, Carrano, Francesco Maria, Colombo, Giovanni, De Lucia, Francesca, De Virgilio, Armando, Ferreli, Fabio, La Raja, Carlotta, Milana, Flavio, Rossi, Vanessa, Russo, Elena, Tamburello, Sara, Zerbi, Alessandro, Bona, Davide, Adamoli, Laura, Ansarin, Mohssen, Chu, Francesco, De Berardinis, Rita, Pietrobon, Giacomo, Sedda, Giulia, Caputo, Maria, Cellerino, Paola, Crespi, Michele Achille, Danelli, Piergiorgio, Ferrara, Francesco, Baccellieri, Domenico, Candiani, Massimo, Casiraghi, Arianna, Cipriani, Federica, De Nardi, Paola, Mortini, Pietro, Nocera, Gianluca, Pozzoni, Mirko, Ruffolo, Alessandro Ferdinando, Spina, Alfio, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Fresilli, Stefano, Landoni, Giovanni, Lombardi, Gaetano, Bonomi, Stefano, Guaglio, Marcello, Sala, Laura, Segattini, Silvia, Piccoli, Micaela, Migliore, Marco, Sasia, Diego, Cereda, Marco, Dell’Oro, Cristina, Fogliati, Alessandro, Tamini, Nicolò, Castaldi, Antonio, Bracale, Umberto, Lionetti, Ruggero, Pagano, Gianluca, Peltrini, Roberto, Pirozzi, Nello, D’amico, Maria, Izzo, Francesco, Marra, Ester, Marte, Gianpaolo, Bianco, Francesco, Cappiello, Antonio, Iovino, Claudio, Menna, Maria Paola, Romano, Francesco maria, Rossi, Settimio, Sciaudone, Guido, Ascari, Francesca, Bellora, Paolo, Cerri, Cristina, D’Aloisio, Giordana, Ferrari, Maurizio, Chioffi, Franco, Ciccarino, Pietro, Nezi, Giulia, Bissolotti, Guido, Di Donna, Mariano Catello, Licari, Leo, Salamone, Giuseppe, Toia, Francesca, Annicchiarico, Alfredo, Berretta, Roberto, Capozzi, Vito Andrea, Freyrie, Antonio, Frusca, Tiziana, Arici, Vittorio, Bozzani, Antonio, Filardo, Matteo, de Manzoni Garberini, Andrea, Cauteruccio, Michele, Caristo, Giuseppe, Calabrò, Marcello, Andreani, Lorenzo, Antonio, D’arienzo, Berrettini, Stefano, Colangeli, Simone, Cremonini, Camilla, Dallan, Iacopo, Di Franco, Gregorio, Korasidis, Stylianos, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Statuti, Erica, Tartaglia, Dario, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Ubiali, Paolo, Coiro, Saverio, Mele, Simone, Corbellini, Carlo, Masciandaro, Antonio, Carannante, Filippo, Denaro, Vincenzo, Mazzotta, Erica, Zampogna, Biagio, Cinquepalmi, Matteo, Del Basso, Celeste, Guglielmo, Nicola, Meniconi, Roberto Luca, Sinibaldi, Giovanni, Agnes, Annamaria, Belia, Francesco, Bianchi, Valentina, Cozza, Valerio, Fico, Valeria, Fransvea, Pietro, La Greca, Antonio, Litta, Francesco, Pascale, Marco Maria, Silvia, Tedesco, Benevolo, Maria, Campo, Flaminia, Dona’, Maria Gabriella, Marchesi, Paolo, Mastroianni, Riccardo, Mazzola, Francesco, Moretto, Silvia, Petruzzi, Gerardo, Pichi, Barbara, Tuderti, Gabriele, Bellato, Vittoria, Grande, Michele, Petagna, Lorenzo, Sensi, Bruno, Bruzzaniti, Placido, Ciccarone, Flavia, Cicerchia, Pierfranco Maria, Cirillo, Bruno, D’ambrosio, Giancarlo, De Toma, Giorgio, Familiari, Pietro, Fonsi, Giovanni Battista, Picchetto, Andrea, Salvati, Maurizio, Valentini, Valentino, Zambon, Martina, Zancana, Giuseppa, Zuppi, Emma, Ibrahim, Mohsen, Menna, Cecilia, Rendina, Erino Angelo, Accarino, Giulio, Giancarlo, Accarino, Froiio, Caterina, Copelli, Chiara, Di Maio, Pasquale, Giudice, Marco, Altana, Cristian, Ciccarello, Sandro, Cossu, Maria Laura, Dessole, Francesco, Dettori, Salvatora, Madonia, Massimo, Petrillo, Marco, Piredda, Franco, Rizzo, Davide, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Marano, Luigi, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Roviello, Franco, Abrate, Alberto, Clarizia, Guglielmo, Franzini, Marco, Fratto, Antonio, Grechi, Alessandro, Scarnecchia, Elisa, Maiuri, Vincenzo, Dalprà, Francesca, Battistella, Enrico, Romano, Maurizio, Aizza, Giada, de Manzini, Nicolò, Drigo, Davide, Mastronardi, Manuela, Palmisano, Silvia, Bardelli, Laura, Borroni, Giacomo, Livraghi, Lorenzo, Palumbo, Mara, Zullo, Alessandra, Vignotto, Chiara, Caravati, Andrea, De Cristofaro, Carlotta, Giuliani, Tommaso, Guglielmi, Alfredo, Pedrazzani, Corrado, Butturini, Giovanni, Moretto, Gianluigi, Mastriale, Francesco, Olmi, Stefano, Kushikata, Tetsuya, Oyama, Tasuku, Kamiyama, Mizue, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Deguchi, Yoshihiko, Hoshino, Tatsuki, Inoue, Hiroyuki, Ito, Shingo, Takano, Emi, Yamamoto, Masae, Matsuki, Yuka, Matsumoto, Takashi, Sawada, Atsushi, Sato, Kozo, Makino, Jun, Mizota, Toshiyuki, Yonekura, Hiroshi, Ishikawa, Haruka, Kaiho, Yu, Ogawa, Munehiro, Endo, Shunji, Fujiwara, Yoshinori, Kubota, Hisako, Okada, Toshimasa, Hisamatsu, Yoji, Michiura, Taku, Satoshi, Okazaki, Fujita, Tomoyuki, Fukushima, Satsuki, Otsuka, Yuji, Sawada, Ikumi, Miyamoto, Morikazu, Isada, Tetsuro, Bani Amer, Qaed, Kuratani, Norifumi, Takada, Misa, Noro, Shusaku, Okamura, Yukiyasu, Uesaka, Katshuhiko, Kuroda, Kento, Abe, Nobutsugu, Ando, Tadao, Hirano, Kouichi, Kobayashi, Yoichi, Motoyasu, Akira, Noguchi, Hikari, Tajima, Atsushi, Toyama, Satoshi, Uchida, Tokujiro, Furukawa, Yuri, Hasumi, Yoko, Iida, Katsuyuki, Ikeda, Tatsuhiko, Kuzuhara, Shigeki, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Kawai, Akira, Nakata, Yoshinori, Sawamura, Shigehito, Kobayashi, Takayuki, Alrabadi, Mera, Owais, Qais, Smadi, Aseel, Abunawas, Huthifa, Alhawatmeh, Mohammad, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, Jaradat, Enas, Mubaydeen, Teeba, Alzraikat, Sayel H., Suradi, Haya H., Al Abdallah, Murad, Al Bdour, Zakaria, Al-thaher, Mohammad, Alnajjar, Tareq, AlZaatreh, Mohammad, Ghayada, Ibrahim, Hasanein, Khaled Moh’d Ahmed, Hassouneh, Anas, Hijazeen, Raid, Khasawneh, Barihan, Semrin, Qusai, Theab, Mohammad, Abazeed, Alaa, Alkurdieh, Moh’d Mujahed, Hammouri, Mohammad, Khader, Sereen, Abu Obead, Hamza, Abudari, Hadeel, Al-azzeh, Nimer, Al-Darabah, Ali, Al-Qannas, Mohammad, Ashour, Subhi, Chabaan, Reem, Fawzi, Ahmad, Haij, Manal, Hassouneh, Esraa, Ibrahim, Zainab, Mohamed, Ishak, Qandeel, Mahmoud, Shorman, Marwan, Nofal, Sandra, Salameh, Mohammed, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Baninasr, Eman, Al-latayfeh, Motasem, Al-Shudifat, Abdel-Ellah, Shaikh Ahmad, Abd Almonem, Abu Abed, Laith, Allouzi, Mohammad, Almi’ani, Sari, Alsaiad, Abdulhakim, Daoud, Maher, Dawod, Omar, Fadli, Saba, Qulaghassi, Zaki, Al-howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al-Dabaa, Tawfik, Al-Jarrah, Salsabeel, Alshannaq, Qutaiba, Alsulaiman, Rima, Audat, Ziad, Bdour, Saja, Khatatbeh, Ro’a, Marji, Fares, Abu Ismail, Dima.Y, Alzoubi, Mai, Alzoubi, Malak, Hussein, Hasan, Rawashdeh, Shireen, Ababneh, Adnan, Abu-Eisheh, Basil, Al Shurman, Hana’, Al-atiyah, Hussam, Aljaiuossi, Anas, Hamdoni, Sara, Sakhov, Orazbek, Tanabayeva, Shynar, Amrayev, Sultan, Kukubassov, Yerlan, Parker, Robert, Mwaria, Claude, Kibunyi, Muthoni, Mailu, Claire, Osea, Lydia, Hirsi, Omar, Dashti, Mustafa, Aldalal, Shuaib, Alozairi, Ous, Al-Shaiji, Tariq, Alhunaidi, Omar, Aljewaied, Ali, Farag, Ahmed, Termos, Salah, Sivins, Armands, Apse, Ingus Arnolds, Kaminskis, Aleksejs, Pāvulāns, Jānis, Itani, Rania, Owiedat, Mustafa, Antonios, Ingrid, Milan Moussa, Rita, Abdel Sater, Ali H., Souleiman, Bassem, Ghiya, Peter, Fakih, Ghinwa, Abdulrahman, Taha, Omar Abunaaja, Hayat, Al Gasi, Abd El Jawad, Alsaeiti, Sara, Elkhafeefi, Fatimah, Alhouni, Tarek, Alkeelani, Hana, Alkuwafi, Rauoof, Elbargathe, Osama, Elfadli, Mustafa, Elmahgoub, Asma, Alhaje, Awatif, Haron, Aaya, Alsuwiyah, Suhir, Khel, Samer, Yousef, Rowaida, Abuhlaiga, Ma’aly, Abushahma, Ahmed omar, Aldelensi Alzubi, Alhosen Saleh M, Alnehum, Mohamed alnaser, Alzedam, Ahmad, Matoug, Faisel, Mohammed, Burooj, Sawalem, Mohamed, Kamoka, Elhusain, Salamah, Abdulrauf, Abdeewi, Saedah, Eshnaf, Mabroka, Yahmad, Mohammad, Aljuroushi, Omar, Attia, Hajer, Emran, Ayyah, Samer, Ashraf, Abdullah, Duha milad, Ben esmael, Esraa, Benmasoud, Fatma, Debri, Laila, Younis, Balkees, Elmabrouk, Amna, Hasan, Ameerah Mahdi Abraheem, Alshareea, Entisar, Aribi, Tomather, Lamari, Amani hamid, Mufth, Mohammed, Aburima, Sarah, Al shukri, Asmaa, Alarabi, Rehab, Alelwany, Aisha, Bashir, Rasha, Elhadi, Ahmed, Elkouba, Esraa, Elmsherghi, Nabiha, Haidar, Arwa, Helal, Hala, Kriem, Eslam, Turshani, Laila, Ben Hasan, Hayat, Shaban Ben Hasan, Najat, Shaban Ben Hasan, Rabab, Dambrauskas, Zilvinas, Dekeryte, Inga, Koženiauskaitė, Akvilė, Maleckas, Almantas, Venclauskas, Linas, Zilinskas, Justas, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Jurgaitis, Jonas, Mikutaitis, Vytenis, Samalavicius, Narimantas Evaldas, Slepavicius, Algirdas, Vasiliauskas, Bernardas, Dulskas, Audrius, Cekauskas, Albertas, Zelvys, Arunas, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Andriantsoa, Herimampionona E, Tsiambanizafy, Guillaume Odilon, Solo, Corinne Eulalie, Safiry Andofenohasina, Fanonjomahasoa, Sablon Herinirina, Angelin, Das, Andre, Osman, Mohd Firdauss, Soh, Jien Yen, Zakaria, Zaidi, Chan, Kheng Hooi, Johan, Syamim, Mah, Jin Jiun, Subramaniam, Sentilnathan, Ibrahim, Mohd Razali, Nazimi, Abd Jabar, Bal, Pavin, Fadzli, Ahmad nazran, Jamaris, Suniza, Lee, Yeong Sing, Lim, Jeffery Zk, Moh Pauzi, Siti Farhan, Nair, Ashvin Krishna, Ng, Doris Sin Wen, Ng We Yong, Yuki Julius, Saaid, Rahmah, Sethi, Neha, Syed Jafer Hussain Zaidi, Syeda Nureena, Teoh, Li Ying, Islah Munjih, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ahmad, Abdul Rauf bin, Lau, Yii Ling, Liew, Ka Yee, Palayan, Kandasami, Abdul Rahman, Noorneza, Firman, Fatin, Hazleigh, Nik Mohd, Mohd Miswan, Mohd Fairudz, Mohd Zahid, Akmal Zulayla, Yahaya, Mohd Yusoff bin Yahaya, Yusoff, Ahmad Ramzi, Darryl, Brincat, Svetlana, Caruana, Clifford, Chircop, Daniel Mario, Czok, Viktoria, Muscat, Esther, Roshan, Mohsin Hassan Khan, Schembri, Nicholas, Jonathan Rubén, Cedillo Rodrìguez, Rojas Aguilar, Antonio, Sosa Duran, Erik Efrain, Arroyo, Diego, Martinez-Said, Hector, Medina-Franco, Heriberto, Pérez de León Vázquez, Martha Patricia, Soto Hernández, Fidel, Stenner, Juan Ignacio, Zuloaga Fernandez del Valle, Carlos Jose, Colunga Tinajero, Carlos Andres, 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Felipe, González León, Juan Antonio, Guzman, Marlin, Herappe, Dorihela, Lerma, Ricardo, Mendoza Pedraza, Fabián Hilario, Noguez Castillo, Monica, Resendiz, Jose Anatolio, Fernandez Rios, Laura Elena, Frigerio, Pamela, Garcia, Iset, Mendoza Frías, Gloria Isela, Anzures Mendoza, Alejandra, Hdez Miguelena, Luis, Zarate Saenz, David, Zavala gonzalez, Miguel angel, Andrade González, Francisco, Cortes, Ludivina, Gurghiș, Radu, Sanjaa, Burmaa, Ait benhamou, Rita, Rghioui, Mounir, Saaf, Sarra, Letrache, Ahmed, Zekhnini, Meryem, Abichou, Wijden, Baroudi, Salma, Hassoun, Chiraz, Zaim, Ouijdane, Arkha, Yasser, Bechri, Hajar, Benchekroun Belabbes, Meryem, Benslimane, Zaineb, Boualila, Lina, El Ouahabi, Abdessamad, Essakalli Hossyni, Leila, Tagmouti, Adam, Belkhadir, Zakaria Houssaïn, Benkabbou, Amine, Boutayeb, Saber, El Ahmadi, Brahim, Ghannam, Abdelilah, Kabbaj, Taha, Majbar, Anass Mohammed, Ndatewapo, Fillipus, Njuki, Peter Ngungi, Abrahams, Jenevive, Bhusal, Subarna, Dwa, Yam, Bloemers, Frank, Besselink, Marc, van Amstel, Paul, Smeele, Ludi, Harlaar, Niels, van der Burg, Sjirk, Franken, Josephine, Oosterling, Steven, Nolte, Peter, Alwayn, Ian, Braat, Andries, Goudsmit, Ben, van de Leemkolk, Fenna E.M., Albers, Kim, Van Goor, Harry, van Ginhoven, Tessa M., Schweitzer, Donald, Leclercq, Wouter, Vancoillie, Peter-Jan, Konsten, Joop, den Boer, Frank, Djamali, Kaveh, Ghamri, Naji, Joseph, Reece, Lie, Samuel, Olliff, Sue, Wood, Daniel, Furkert, Chris, Lim, Eric, Mclauchlan, Jared, Ailabouni, Ramez, Alqassab, Mohammed, Hawkins, Robyn, Baker, Joseph, Ou, Cindy Xin Yi, Singh, Vidit, Frunt, Brytt, Lakshman, Prashant, Henderson, Nigel, Haimona, Maira, Jury, Steffanie, Weeratunga, George, Witcomb Cahill, Henry, Abdussalam, Hameedat Opeyemi, Ahmed, Aminat Olayinka, Adeyeye, Ademola, Kayode-Nissi, Victor, Kadiri, Innih, Oduah, Stella, Abdull, Mohammed, Abdullahi, Mohammed Kabir, Ja’afar, Abubakar Bappah, Ja’afaru, Umma Hani, Yakubu Mohammed, Husseini, Edetanlen, Ekaniyere, Iribhogbe, Oseihie, Irowa, Omorodion, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Akanni, Bolaji, Ezomike, Uchechukwu, Okoro, Kelechukwu, Okwara, Blasius, Abdulsalam, Khalifa, Agida, Eyaofun, Ajibola, Hafees, Benard, Adeka, Buba, Amina, Eniola, Sefiu, Isah, Aliyu, Olute, Anne, Osagie, Olabisi, Pius Ogolekwu, Idoko, Ademola, Samuel, Afuwape, Oludolapo, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Okere, Oghenekevwe, Oladiran, Ajibola, Olagunju, Naomi, Olawoye, Olayinka, Olusanya, Adeola, Oyelakin, Oyeleye, Ugwu, Ebere, Atoyebi, Oluwole, Bode, Chris, Chibuike George, Ihediwa, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo-Ajayi, Oluwaseun, Ojewola, Rufus Wale, Okunowo, Adeyemi, Ugwu, Aloy Okechukwu, Adebara, Idowu, Adeyemo, Olabisi, Banjo, Oluseyi, Obateru, John, Ojo, Owolabi, Oluwafemi, Fatudimu, Adelaja, Aderinsola, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Omisanjo, Olufunmilade, Aderounmu, Adewale, Ajekwu, Temitope, Ajekwu, Samuel, Akeem Aderogba, Adeleke, Balogun, Simon, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Mohammed, Tajudeen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ibraheem, Gbadebo, Odeyemi, Peter Olalekan, Olabinjo, Afusat, Raji, Hadijat Olaide, Salawu, Hafeez, Uche-Okonkwo, Kenechukwu, Anipole, Olalekan, Adesina, Oluwaseyi, Enwerem, Kenneth, Isichei, Mercy, Aghadi, Ifeanyi, Lawal, Jamila, Taingson, Matthew, Yusuf, Nuhu, Takai, Idris Usman, Aji, Sani Ali, Bello-Muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Sadiq, Ibrahim Usman, Mustapha, Magashi, Mahmoud Kawu, Mukhtar, Ibrahim Aliyu, Nwachukwu, Callistus, Suleiman, Ibrahim, A, Maryam, Mahmood, Farrukh, Salihu, Mohammed, Alegbeleye, Justina Omoikhefe, Awopeju, Abimbola, Fyneface-Ogan, Sotonye, Kasso, Terhemen, Onwuagha, Ijeoma, Salami, Babatunde, Ajagha, Okeoghene, Awaisu, Mudi, Nwabuoku, Stanley Emeka, 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Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Mubarik, Areeba, Naz, Falak, Qamar, Javeria Bilal, Sadia, Haleema, Safri, Mohammad, Sattar, abida K., Siddiqui, Muhammad Ahsan Iqbal, Waqar, Usama, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Zia, Kashif, Ali Shaikh, Shafqat, Hussaini, Dr, Kamal, Wajahat, Mughal, Zeeshan Uddin, Nadeem, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Saleem, Shah Masabat, Shah, Aaqil, Siddiqui, Safia, Tariq, Nida, Zamir, Mehroz, Hafiz Muhammad Arif, Ahmed, Ehsan, Ahmed, Jawad, Akbar, Bilal, Ali, Abrar Ashraf, Iqbal, Zafar, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Rafi, Yaseen, Saleem, Irfan, Shaukat, Ayesha, Sikandar, Hafiz Saqib, Tu zahara, Fatima, Ali, Ahsan, Jawad, Muhammad, Noman, Hamza, Taha, Dr Hassan, Dr. Gul e Raana, 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B, Bogie, E, Brazkiewicz, M, Carroll, M, Chandegra, A, Cirelli, C, Deng, A, Fairclough, S, Fung, YJ, Gornell, C, Green, RL, Green, SV, Gulamhussein, AHM, Isaac, AG, Jan, R, Jegatheeswaran, L, Knee, M, Kotecha, J, Kotecha, S, Maxwell-Armstrong, C, McIntyre, C, Mendis, N, Naing, TKP, Oberman, J, Ong, ZX, Ramalingam, A, Saeed Adam, A, Tan, LL, Towell, S, Yadav, J, Anandampillai, R, Chung, S, Hounat, A, Jeyakumar, G, Khalil, A, Khan, UA, Nair, G, Owusu-Ayim, M, Kanani, A, Kilkelly, B, Ogunmwonyi, I, Ong, L, Samra, B, Schomerus, L, Shea, J, Turner, O, Yang, Y, Amin, M, Blott, N, Clark, A, Feather, A, Forrest, M, Hague, S, Hamilton, K, Higginbotham, G, Hope, E, Karimian, S, Loveday, K, Malik, H, McKenna, O, Noor, A, Onsiong, C, Patel, B, Radcliffe, N, Shah, P, Tye, L, Verma, K, Walford, R, Yusufi, U, Zachariah, M, Casey, A, Dor, C, Fludder, V, Fortescue, L, Kalapu, SS, Karel, E, Khera, G, Appleton, B, Ashaye, A, Boggon, E, Evans, A, Faris Mahmood, H, Hinchcliffe, Z, Marei, O, Silva, I, Spooner, C, Thomas, G, Timlin, M, Wellington, J, Yao, SL, Abdelrazek, M, Abdelrazik, Y, Bee, F, Joseph, A, Mounce, A, Parry, G, Vignarajah, N, Biddles, D, Creissen, A, Kolhe, S, K, T, Lea, A, Ledda, V, O’Loughlin, P, Scanlon, J, Shetty, N, Weller, C, Adeoye, A, Bhatti, M, Chadda, KR, Chu, J, Elhakim, H, Foster-Davies, H, Rabie, M, Tailor, B, Webb, S, Abdelrahim, ASA, Choo, SY, Jiwa, A, Mangam, S, Murray, S, Shandramohan, A, Aghanenu, O, Budd, W, Hayre, J, Khanom, S, Liew, ZY, Moody, N, Muhammad-Kamal, H, Odogwu, J, Patel, D, Sattar, Z, Shahrokhi, N, Sinha, I, Thomson, E, Wonga, L, Bain, J, Ricardo, D, Bevis, R, Cherry, C, Darkwa, S, Drew, W, Konda, N, Madani, D, Meda, B, Odunukwe, U, Preest, G, Raheel, F, Rajaseharan, A, Ramgopal, A, Risbrooke, C, Selvaratnam, K, Sethunath, G, Tabassum, R, Taylor, J, Thakker, A, Wijesingha, N, Wybrew, R, Yasin, T, Ahmed Osman, A, Alfadhel, S, Carberry, E, Chen, JY, Drake, I, Glen, P, Jayasuriya, N, Kawar, L, Sinan, LOH, Siu, SSY, Tjen, V, Adeboyejo, O, Bacon, H, Barnes, R, Birnie, C, D’Cunha Kamath, A, Hughes, E, Middleton, S, Owen, R, Schofield, E, Short, C, Wang, H, Willett, M, Zimmerman, M, Balfour, J, Chadwick, T, Coombe-Jones, M, Do Le, HP, Hobson, K, Shehata, Z, Beattie, M, Chmielewski, G, Chong, C, Donnelly, B, Drusch, B, Ellis, J, Farrelly, C, Feyi-Waboso, J, Hibell, I, Hoade, L, Ho, C, Jones, H, Kodiatt, B, Lidder, P, Ni Cheallaigh, L, Norman, R, Patabendi, I, Penfold, H, Playfair, M, Pomeroy, S, Ralph, C, Rottenburg, H, Sebastian, J, Sheehan, M, Stanley, V, Welchman, J, Ajdarpasic, D, Antypas, A, Azouaghe, O, Basi, S, Bettoli, G, Bhattarai, S, Bommireddy, L, Bourne, K, Budding, J, Cookey-Bresi, R, Cummins, T, Davies, G, Fabelurin, C, Gwilliam, R, Hanley, J, Hird, A, Kruczynska, A, Langhorne, B, Lund, J, Lutchman, I, McGuinness, R, Neary, M, Pampapathi, S, Pang, E, Podbicanin, S, Rai, N, Redhouse White, G, Sujith, J, Thomas, P, Walker, I, Winterton, R, Anderson, P, Barrington, M, Bhadra, K, Clark, G, Gibson, C, Hudson, S, Kaminskaite, V, Longshaw, A, MacKrill, E, McLachlan, F, Murdeshwar, A, Nieuwoudt, R, Parker, P, Randall, R, Rawlins, E, Reeves, SA, Rye, D, Sirkis, T, Sykes, B, Ventress, N, Wosinska, N, Akram, B, Burton, L, Coombs, A, Long, R, Ong, C, Sethi, M, Gaba, F, Khor, Z, Les, JW, Mak, R, Moin, S, Ng Kee Kwong, KC, Paterson-Brown, S, Tew, YY, Bardon, A, Burrell, K, Coldwell, C, Costa, I, Dexter, E, Hardy, A, Khojani, M, Mazurek, J, Reynolds, J, Soma, A, Agiotakis, S, Alsusa, H, Desai, N, Peristerakis, I, Adcock, A, Ayub, H, Bennett, T, Bibi, F, Brenac, S, Chapman, T, Clarke, G, Clark, F, Galvin, C, Gwyn-Jones, A, Henry-Blake, C, Kerner, S, Kiandee, M, Lovett, A, Pilecka, A, Ravindran, R, Siddique, H, Sikand, T, Treadwell, K, Akmal, K, Apata, A, Barton, O, Broad, G, Darling, H, Dhuga, Y, Emms, L, Habib, S, Jeater, J, Kan, CYP, Kathiravelupillai, A, Kirmani, S, Kulasabanathan, K, Lacey, H, Lal, K, Manafa, C, Mansoor, M, McDonald, S, Mustoe, S, Nottrodt, L, Oliver, P, Papapetrou, I, Pattinson, F, Raja, M, Reyhani, H, Shahmiri, A, Small, O, Soni, U, Aguirrezabala Armbruster, B, Hakim, MA, Hawkins-Hooker, L, Howell, KA, Hullait, R, Jaskowska, A, Ottewell, L, Thomas-Jones, I, Vasudev, A, Clements, B, Fenton, J, Gill, M, Haider, S, Lim, AJM, Maguire, H, McMullan, J, Nicoletti, J, Samuel, S, Unais, MA, White, N, Yao, PC, Yow, L, Brady, R, Cheekoty, P, Cheong, J, Chew, SJHL, Chow, R, Ganewatta Kankanamge, D, Mamer, L, Mohammed, B, Ng Chieng Hin, J, Renji Chungath, R, Royston, A, Sharrad, E, Sinclair, R, Treherne, K, Wyatt, F, Maniarasu, VS, Appanna, T, Bucknall, T, Hussain, F, Owen, A, Parry, R, Sagua, N, Spofforth, K, Yuen, ECT, Bosley, N, Hardie, W, Moore, T, Regas, C, Abdel-Khaleq, S, Ali, N, Bashiti, H, Buxton-Hopley, R, Constantinides, M, D’Afflitto, M, Deshpande, A, Duque Golding, J, Frisira, E, Germani Batacchi, M, Gomaa, A, Hay, D, Iakovou, A, Iakovou, D, Ismail, E, Jefferson, S, Khouli, Y, Mason, J, McCaughan, R, Moffatt, J, Morawala, A, Nadir, H, Neyroud, F, Nikookam, Y, Parmar, A, Pinto, L, Richards, E, Trainer, C, Valetopoulou, A, Vassiliou, A, Wantman, A, Wilde, S, Dickinson, M, Rockall, T, Senn, D, Wcislo, K, Zalmay, P, Adelekan, K, Allen, K, Bajaj, M, Gatumbu, P, Hang, S, Hashmi, Y, Kaur, T, Kawesha, A, Woodmass, M, Adelowo, T, Ahari, D, Alhwaishel, K, Clayton, B, Cockroft, A, Curtis Lopez, C, Hilton, M, Ismail, N, Kouadria, M, Lee, L, MacConnachie, A, Monks, F, Mungroo, S, Nikoletopoulou, C, Sara, X, Shahid, A, Suresh, G, Wilcha, R, Atiyah, A, Dermanis, A, Gibbons, H, Hyde, A, Lawson, A, Lee, C, Leung-Tack, M, Li Saw Hee, J, Mostafa, O, Pattani, N, Plumbley-Jones, J, Pufal, K, Sanghera, J, Saram, S, Scadding, S, See, S, Stringer, H, Torrance, A, Vardon, H, Wyn-Griffiths, F, Brew, A, Kaur, G, Soni, D, Tickle, A, Akbar, Z, Appleyard, T, Figg, K, Jayawardena, P, Johnson, A, Kamran Siddiqui, Z, Lacy-Colson, J, Oatham, R, Rowlands, B, Sludden, E, Turnbull, C, Allin, D, Ansar, Z, Azeez, Z, Dale, VH, Garg, J, Horner, A, Knight, S, McGregor, C, McKenna, J, McLelland, T, Packham-Smith, A, Rowsell, K, Spector-Hill, I, Adeniken, E, Baker, J, Bartlett, M, Chikomba, L, Connell, B, Deekonda, P, Dhar, M, Elmansouri, A, Gamage, K, Goodhew, R, Hanna, P, Knight, J, Luca, A, Maasoumi, N, Mahamoud, F, Manji, S, Marwaha, PK, Mason, F, Oluboyede, A, Pigott, L, Razaq, AM, Richardson, M, Saddaoui, I, Wijeyendram, P, Yau, S, Atkins, W, Liang, K, Miles, N, Praveen, B, Ashai, S, Braganza, J, Common, J, Cundy, A, Davies, R, Guthrie, J, Handa, I, Iqbal, M, Ismail, R, Jones, I, Lee, KS, Levene, A, Okocha, M, Smith, A, Subramaniam, E, Tandle, S, Wang, A, Watson, A, Wilson, C, Chan, XHF, Khoo, E, Montgomery, C, Norris, M, Pugalenthi, PP, Common, T, Cook, E, Mistry, H, Shinmar, HS, Agarwal, G, Bandyopadhyay, S, Brazier, B, Carroll, L, Goede, A, Harbourne, A, Lakhani, A, Larwood, J, Merchant, J, Pattenden, S, Pradhan, A, Raafat, N, Rothwell, E, Shammoon, Y, Sudarshan, R, Vickers, E, Wingfield, L, Ashworth, I, Azizi, S, Bhate, R, Chowdhury, T, Christou, A, Davies, L, Dwaraknath, M, Farah, Y, Garner, J, Gureviciute, E, Hart, E, Javid, S, Kankam, HK, Kaur Toor, P, Kaz, R, Kermali, M, Khan, I, Mattson, A, McManus, A, Murphy, M, Nair, K, Ngemoh, D, Norton, E, Olabiran, A, Parry, L, Payne, T, Pillai, K, Punjabi, K, Raghunathan, A, Raza, M, Ritehnia, J, Simpson, G, Smith, W, Sodeinde, S, Studd, L, Subramaniam, M, Thomas, J, Towey, S, Tsang, E, Tuteja, D, Vasani, J, Vio, M, Adams, J, Anthony Wilkinson, J, Asvandi, S, Austin, T, Bald, A, Bix, E, Carrick, M, Chander, B, Cooper Drake, B, Crosbie, S, D Portela, S, Francis, D, Gallagher, C, Gillespie, R, Gravett, H, Gupta, P, Ilyas, C, Johny, J, Jones, A, Kinder, F, MacLeod, C, Macrow, C, Maqsood-Shah, A, Mather, J, McCann, L, McMahon, R, Mitham, E, Mohamed, M, Munton, E, Nightingale, K, O‚ÄôNeill, K, Onyemuchara, I, Senior, R, Shanahan, A, Sherlock, J, Spyridoulias, A, Stavrou, C, Stokes, D, Tamang, R, Taylor, E, Trafford, C, Uden, C, Waddington, C, Yassin, D, Zaman, M, Bangi, S, Cheng, T, Hussain, N, Imani-Masouleh, S, Mahasivam, G, McKnight, G, Ng, HL, Ota, HC, Pasha, T, Ravindran, W, Vishnu K, S, Zaman, S, Carr, W, Cope, S, Eagles, EJ, Howarth-Maddison, M, Li, CY, Reed, J, Ridge, A, Stubbs, T, Teasdaled, D, Umar, R, Worthington, J, Dhebri, A, Kalenderov, R, Alattas, A, Arain, Z, Bhudia, R, Chia, D, Daniel, S, Dar, T, Garland, H, Girish, M, Hampson, A, Lehovsky, K, Mullins, W, Omorphos, N, Vasdev, N, Venkatesh, A, Waldock, W, Bhandari, A, Brown, G, Choa, G, Eichenauer, CE, Ezennia, K, Kidwai, Z, Lloyd-Thomas, A, Macaskill Stewart, A, Massardi, C, Sinclair, E, Skajaa, N, Tan, I, Afsheen, N, Anuar, A, Azam, Z, Bhatia, P, Davies-kelly, N, Dickinson, S, Elkawafi, M, Ganapathy, M, Khoury, EG, Licudi, D, Mehta, V, Neequaye, S, Nita, G, Tay, VL, Zhao, S, Botsa, E, Cuthbert, H, Elliott, J, Furlepa, M, Lehmann, J, Mangtani, A, Narayan, A, Shah, D, Shaw, C, Zhao, Z, Beck, C, Caldwell, S, Clements, JM, French, B, Kenny, R, Kirk, S, McClung, A, McLaughlin, N, Watson, S, Whiteside, E, Alyacoubi, S, Arumugam, V, Beg, R, Dawas, K, Garg, S, Lloyd, ER, Mahfouz, Y, Manobharath, N, Moonesinghe, R, Morka, N, Prashar, J, Yip, S, Adeeko, ES, Ajekigbe, F, Bhat, A, Farrugia, A, Gurung, C, Long, T, Malik, B, Manirajan, S, Newport, D, Rayer, J, Ridha, A, Saran, T, Sinker, A, Waruingi, D, Allen, R, Al Sadek, Y, Alves do Canto Brum, H, Asharaf, H, Ashman, M, Balakumar, V, Barrington, J, Baskaran, R, Berry, A, Bhachoo, H, Bilal, A, Boaden, L, Chia, WL, Covell, G, Crook, D, Dadnam, F, Davis, L, De Berker, H, Doyle, C, Fox, C, Gruffydd-Davies, M, Hafouda, Y, Hill, A, Hubbard, E, Hunter, A, Inpadhas, V, Jamshaid, M, Jandu, G, Jeyanthi, M, Kantor, C, Kwak, SY, Malik, N, Matt, R, McNulty, P, Miles, C, Mohomed, A, Myat, P, Niharika, J, Nixon, A, O‚ÄôReilly, D, Parmar, K, Pengelly, S, Price, L, Ramsden, M, Turnor, R, Wales, E, Waring, H, Wu, M, Yang, T, Ye, TTS, Zander, A, Zeicu, C, Bellam, S, Francombe, J, Kawamoto, N, Rahman, MR, Sathyanarayana, A, Tang, HT, Hollingshead, J, Page, V, Sugarman, J, Chiong, J, Fung, E, Kan, SY, Kiang, J, Kok, J, Krahelski, O, Liew, MY, Lyell, B, Sharif, Z, Speake, D, Alim, L, Amakye, NY, Chandrasekaran, J, Chandratreya, N, Drake, J, Owoso, T, Thu, YM, Abou El Ela Bourquin, B, Alberts, J, Chapman, D, Rehnnuma, N, Ainsworth, K, Carpenter, H, Emmanuel, T, Fisher, T, Gabrel, M, Guan, Z, Hollows, S, Hotouras, A, Ip Fung Chun, N, Jaffer, S, Kallikas, G, Lewinsohn, B, Liu, FY, Mohammed, S, Rutherfurd, A, Situ, T, Stammer, A, Taylor, F, Thin, N, Urgesi, E, Zhang, N, Ahmad, MA, Bishop, A, Bowes, A, Dixit, A, Glasson, R, Hatta, S, Hatt, K, Larcombe, S, Preece, J, Riordan, E, Fegredo, D, Haq, MZ, Li, C, McCann, G, Stewart, D, Baraza, W, Bhullar, D, Burt, G, Coyle, J, Deans, J, Devine, A, Hird, R, Ikotun, O, Manchip, G, Ross, C, Storey, L, Tan, WWL, Tse, C, Warner, C, Whitehead, M, Wu, F, Court, EL, Crisp, E, Huttman, M, Mayes, F, Robertson, H, Rosen, H, Sandberg, C, Al Bakry, M, Ashwell, W, Bajaj, S, Bandyopadhyay, D, Browlee, O, Burway, S, Chand, CP, Elsayeh, K, Elsharkawi, A, Evans, E, Ferrin, S, Fort-Schaale, A, Iacob, M, I, K, Impelliziere Licastro, G, Mankoo, AS, Olaniyan, T, Otun, J, Reddy, R, Saeed, D, Simmonds, O, Singhal, G, Tron, K, Wickstone, C, Williams, R, Bradshaw, E, De Kock Jewell, V, Knight, C, Metezai, H, Mirza-Davies, A, Spink, D, and Wischhusen, S
Published: 2024
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32. Zukunft der Orthopädie und Unfallchirurgie in Deutschland

Author: Roth, Andreas, Böcker, Wolfgang, and Madry, Henning
Published: 2024
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33. Activation of distinct inflammatory pathways in subgroups of LR-MDS

Author: Schneider, Marie, Rolfs, Clara, Trumpp, Matthias, Winter, Susann, Fischer, Luise, Richter, Mandy, Menger, Victoria, Nenoff, Kolja, Grieb, Nora, Metzeler, Klaus H., Kubasch, Anne Sophie, Sockel, Katja, Thiede, Christian, Wu, Jincheng, Woo, Janghee, Brüderle, Andreas, Hofbauer, Lorenz C., Lützner, Jörg, Roth, Andreas, Cross, Michael, and Platzbecker, Uwe
Published: 2023
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34. Medley2K: A Dataset of Medley Transitions

Author: Faber, Lukas, Luck, Sandro, Pascual, Damian, Roth, Andreas, Brunner, Gino, and Wattenhofer, Roger
Subjects: Computer Science - Sound, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract: The automatic generation of medleys, i.e., musical pieces formed by different songs concatenated via smooth transitions, is not well studied in the current literature. To facilitate research on this topic, we make available a dataset called Medley2K that consists of 2,000 medleys and 7,712 labeled transitions. Our dataset features a rich variety of song transitions across different music genres. We provide a detailed description of this dataset and validate it by training a state-of-the-art generative model in the task of generating transitions between songs., Comment: MML 2020 - 13th Int. Workshop on Machine Learning and Music at ECML-PKDD 2020
Published: 2020

35. Lack of oral health awareness and interdisciplinary dental care: a survey in patients prior to endoprosthesis and orthopaedic centres in Germany

Author: Schmalz, Gerhard, Lenzen, Carina, Reuschel, Florentine, Fenske, Fabian, Haak, Rainer, Goralski, Szymon, Roth, Andreas, and Ziebolz, Dirk
Published: 2023
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36. Transforming PageRank into an Infinite-Depth Graph Neural Network

Author: Roth, Andreas, Liebig, Thomas, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Amini, Massih-Reza, editor, Canu, Stéphane, editor, Fischer, Asja, editor, Guns, Tias, editor, Kralj Novak, Petra, editor, and Tsoumakas, Grigorios, editor
Published: 2023
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37. Anterolaterale minimalinvasive Implantation einer Hüfttotalendoprothese

Author: Roth, Andreas and Roth, Andreas
Published: 2022
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38. Untere Extremitäten

Author: Roth, Andreas, Melcher, Peter, Samland, Marie, Schöbel, Tobias, Roth, Andreas, Melcher, Peter, Samland, Marie, and Schöbel, Tobias
Published: 2022
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39. Obere Extremitäten

Author: Roth, Andreas, Melcher, Peter, Samland, Marie, Schöbel, Tobias, Roth, Andreas, Melcher, Peter, Samland, Marie, and Schöbel, Tobias
Published: 2022
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40. Wirbelsäule

Author: Roth, Andreas, Melcher, Peter, Samland, Marie, Schöbel, Tobias, Roth, Andreas, Melcher, Peter, Samland, Marie, and Schöbel, Tobias
Published: 2022
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41. Instantaneous control of interacting particle systems in the mean-field limit

Author: Burger, Martin, Pinnau, Rene, Totzeck, Claudia, Tse, Oliver, and Roth, Andreas
Subjects: Mathematics - Optimization and Control, Mathematics - Analysis of PDEs, Mathematics - Numerical Analysis
Abstract: Controlling large particle systems in collective dynamics by a few agents is a subject of high practical importance, e.g., in evacuation dynamics. In this paper we study an instantaneous control approach to steer an interacting particle system into a certain spatial region by repulsive forces from a few external agents, which might be interpreted as shepherd dogs leading sheep to their home. We introduce an appropriate mathematical model and the corresponding optimization problem. In particular, we are interested in the interaction of numerous particles, which can be approximated by a mean-field equation. Due to the high-dimensional phase space this will require a tailored optimization strategy. The arising control problems are solved using adjoint information to compute the descent directions. Numerical results on the microscopic and the macroscopic level indicate the convergence of optimal controls and optimal states in the mean-field limit,i.e., for an increasing number of particles., Comment: arXiv admin note: substantial text overlap with arXiv:1610.01325
Published: 2019
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42. Mechanical parameter assessment of fresh human cancellous bone of the femoral head in atraumatic femoral head necrosis and primary coxarthrosis

Author: Fischer, Benjamin, Reise, Rebekka, Schleifenbaum, Stefan, and Roth, Andreas
Published: 2023
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43. BMP-2 (and partially GDF-5) coating significantly accelerates and augments bone formation close to hydroxyapatite/tricalcium-phosphate/brushite implant cylinders for tibial bone defects in senile, osteopenic sheep

Author: Sachse, André, Hasenbein, Ines, Hortschansky, Peter, Schmuck, Klaus D., Maenz, Stefan, Illerhaus, Bernhard, Kuehmstedt, Peter, Ramm, Roland, Huber, René, Kunisch, Elke, Horbert, Victoria, Gunnella, Francesca, Roth, Andreas, Schubert, Harald, and Kinne, Raimund W.
Published: 2023
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44. KUOU diskutiert Neues aus Forschung, Exzellenz-Akademie und Berufspolitik

Author: Roth, Andreas
Published: 2024
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45. Atraumatic femoral head necrosis: a biomechanical, histological and radiological examination compared to primary hip osteoarthritis

Author: Hofmann, Alexander, Fischer, Benjamin, Schleifenbaum, Stefan, Kurz, Sascha, Edel, Melanie, Borte, Gudrun, Lehmann, Gabriele, and Roth, Andreas
Published: 2022
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46. Factors associated with dislocation after bipolar hemiarthroplasty through an (antero-)lateral approach in elderly patients with a femoral neck fracture: a retrospective cohort study with a nested case–control subanalysis of radiographic parameters

Author: Fakler, Johannes Karl Maria, Rositzka, Markus, Schopow, Nicolas, Roth, Andreas, Zajonz, Dirk, Ghanem, Mohamed, Kleber, Christian, and Osterhoff, Georg
Published: 2022
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47. Medikamentöse Therapie von Osteonekrosen

Author: Roth, Andreas and Maus, Uwe
Published: 2022
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48. Simultaneous 18F-FDG-PET/MRI for the detection of periprosthetic joint infections after knee or hip arthroplasty: a prospective feasibility study

Author: Henkelmann, Jeanette, Henkelmann, Ralf, Denecke, Timm, Zajonz, Dirk, Roth, Andreas, Sabri, Osama, and Purz, Sandra
Published: 2022
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49. Mit neuen Lehrkonzepten und Netzwerken arbeiten: Essentials der KUOU-Jahrestagung 2023

Author: Roth, Andreas, Böcker, Wolfgang, and Madry, Henning
Published: 2023
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50. Osteoporose

Author: Roth, Andreas and Maus, Uwe
Published: 2023
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