Author: "A. Tsuruta" - Searchworks@Jio Institute Digital Library Search Results

24,657 results on '"A. Tsuruta"'

1. Comparison of observation- and inventory-based methane emissions for eight large global emitters

Author: A. M. R. Petrescu, G. P. Peters, R. Engelen, S. Houweling, D. Brunner, A. Tsuruta, B. Matthews, P. K. Patra, D. Belikov, R. L. Thompson, L. Höglund-Isaksson, W. Zhang, A. J. Segers, G. Etiope, G. Ciotoli, P. Peylin, F. Chevallier, T. Aalto, R. M. Andrew, D. Bastviken, A. Berchet, G. Broquet, G. Conchedda, S. N. C. Dellaert, H. Denier van der Gon, J. Gütschow, J.-M. Haussaire, R. Lauerwald, T. Markkanen, J. C. A. van Peet, I. Pison, P. Regnier, E. Solum, M. Scholze, M. Tenkanen, F. N. Tubiello, G. R. van der Werf, and J. R. Worden
Subjects: Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract: Monitoring the spatial distribution and trends in surface greenhouse gas (GHG) fluxes, as well as flux attribution to natural and anthropogenic processes, is essential to track progress under the Paris Agreement and to inform its global stocktake. This study updates earlier syntheses (Petrescu et al., 2020, 2021, 2023), provides a consolidated synthesis of CH4 emissions using bottom-up (BU) and top-down (TD) approaches for the European Union (EU), and is expanded to include seven additional countries with large anthropogenic and/or natural emissions (the USA, Brazil, China, India, Indonesia, Russia, and the Democratic Republic of the Congo (DR Congo)). Our aim is to demonstrate the use of different emission estimates to help improve national GHG emission inventories for a diverse geographical range of stakeholders. We use updated national GHG inventories (NGHGIs) reported by Annex I parties under the United Nations Framework Convention on Climate Change (UNFCCC) in 2023 and the latest available biennial update reports (BURs) reported by non-Annex I parties. Comparing NGHGIs with other approaches highlights that different system boundaries are a key source of divergence. A key system boundary difference is whether anthropogenic and natural fluxes are included and, if they are, how fluxes belonging to these two sources are partitioned. Over the studied period, the total CH4 emission estimates in the EU, the USA, and Russia show a steady decreasing trend since 1990, while for the non-Annex I emitters analyzed in this study, Brazil, China, India, Indonesia, and DR Congo, CH4 emissions have generally increased. Quantitatively, in the EU the mean of 2015–2020 anthropogenic UNFCCC NGHGIs (15±1.8 Tg CH4 yr−1) and the mean of the BU CH4 emissions (17.8 (16–19) Tg CH4 yr−1) generally agree on the magnitude, while inversions show higher emission estimates (medians of 21 (19–22) Tg CH4 yr−1 and 24 (22–25) Tg CH4 yr−1 for the three regional and six global inversions, respectively), as they include natural emissions, which for the EU were quantified at 6.6 Tg CH4 yr−1 (Petrescu et al., 2023). Similarly, for the other Annex I parties in this study (the USA and Russia), the gap between the BU anthropogenic and total TD emissions is partly explained by the natural emissions. For the non-Annex I parties, anthropogenic CH4 estimates from UNFCCC BURs show large differences compared to the other global-inventory-based estimates and even more compared to atmospheric ones. This poses an important potential challenge to monitoring the progress of the global CH4 pledge and the global stocktake. Our analysis provides a useful baseline to prepare for the influx of inventories from non-Annex I parties as regular reporting starts under the enhanced transparency framework of the Paris Agreement. By systematically comparing the BU and TD methods, this study provides recommendations for more robust comparisons of available data sources and hopes to steadily engage more parties in using observational methods to complement their UNFCCC inventories, as well as considering their natural emissions. With anticipated improvements in atmospheric modeling and observations, as well as modeling of natural fluxes, future development needs to resolve knowledge gaps in the BU and TD approaches and to better quantify the remaining uncertainty. TD methods may emerge as a powerful tool to help improve NGHGIs of CH4 emissions, but further confidence is needed in the comparability and robustness of the estimates. The referenced datasets related to figures are available at https://doi.org/10.5281/zenodo.12818506 (Petrescu et al., 2024).
Published: 2024
Full Text: View/download PDF

2. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019

Author: A. M. R. Petrescu, C. Qiu, M. J. McGrath, P. Peylin, G. P. Peters, P. Ciais, R. L. Thompson, A. Tsuruta, D. Brunner, M. Kuhnert, B. Matthews, P. I. Palmer, O. Tarasova, P. Regnier, R. Lauerwald, D. Bastviken, L. Höglund-Isaksson, W. Winiwarter, G. Etiope, T. Aalto, G. Balsamo, V. Bastrikov, A. Berchet, P. Brockmann, G. Ciotoli, G. Conchedda, M. Crippa, F. Dentener, C. D. Groot Zwaaftink, D. Guizzardi, D. Günther, J.-M. Haussaire, S. Houweling, G. Janssens-Maenhout, M. Kouyate, A. Leip, A. Leppänen, E. Lugato, M. Maisonnier, A. J. Manning, T. Markkanen, J. McNorton, M. Muntean, G. D. Oreggioni, P. K. Patra, L. Perugini, I. Pison, M. T. Raivonen, M. Saunois, A. J. Segers, P. Smith, E. Solazzo, H. Tian, F. N. Tubiello, T. Vesala, G. R. van der Werf, C. Wilson, and S. Zaehle
Subjects: Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract: Knowledge of the spatial distribution of the fluxes of greenhouse gases (GHGs) and their temporal variability as well as flux attribution to natural and anthropogenic processes is essential to monitoring the progress in mitigating anthropogenic emissions under the Paris Agreement and to inform its global stocktake. This study provides a consolidated synthesis of CH4 and N2O emissions using bottom-up (BU) and top-down (TD) approaches for the European Union and UK (EU27 + UK) and updates earlier syntheses (Petrescu et al., 2020, 2021). The work integrates updated emission inventory data, process-based model results, data-driven sector model results and inverse modeling estimates, and it extends the previous period of 1990–2017 to 2019. BU and TD products are compared with European national greenhouse gas inventories (NGHGIs) reported by parties under the United Nations Framework Convention on Climate Change (UNFCCC) in 2021. Uncertainties in NGHGIs, as reported to the UNFCCC by the EU and its member states, are also included in the synthesis. Variations in estimates produced with other methods, such as atmospheric inversion models (TD) or spatially disaggregated inventory datasets (BU), arise from diverse sources including within-model uncertainty related to parameterization as well as structural differences between models. By comparing NGHGIs with other approaches, the activities included are a key source of bias between estimates, e.g., anthropogenic and natural fluxes, which in atmospheric inversions are sensitive to the prior geospatial distribution of emissions. For CH4 emissions, over the updated 2015–2019 period, which covers a sufficiently robust number of overlapping estimates, and most importantly the NGHGIs, the anthropogenic BU approaches are directly comparable, accounting for mean emissions of 20.5 Tg CH4 yr−1 (EDGARv6.0, last year 2018) and 18.4 Tg CH4 yr−1 (GAINS, last year 2015), close to the NGHGI estimates of 17.5±2.1 Tg CH4 yr−1. TD inversion estimates give higher emission estimates, as they also detect natural emissions. Over the same period, high-resolution regional TD inversions report a mean emission of 34 Tg CH4 yr−1. Coarser-resolution global-scale TD inversions result in emission estimates of 23 and 24 Tg CH4 yr−1 inferred from GOSAT and surface (SURF) network atmospheric measurements, respectively. The magnitude of natural peatland and mineral soil emissions from the JSBACH–HIMMELI model, natural rivers, lake and reservoir emissions, geological sources, and biomass burning together could account for the gap between NGHGI and inversions and account for 8 Tg CH4 yr−1. For N2O emissions, over the 2015–2019 period, both BU products (EDGARv6.0 and GAINS) report a mean value of anthropogenic emissions of 0.9 Tg N2O yr−1, close to the NGHGI data (0.8±55 % Tg N2O yr−1). Over the same period, the mean of TD global and regional inversions was 1.4 Tg N2O yr−1 (excluding TOMCAT, which reported no data). The TD and BU comparison method defined in this study can be operationalized for future annual updates for the calculation of CH4 and N2O budgets at the national and EU27 + UK scales. Future comparability will be enhanced with further steps involving analysis at finer temporal resolutions and estimation of emissions over intra-annual timescales, which is of great importance for CH4 and N2O, and may help identify sector contributions to divergence between prior and posterior estimates at the annual and/or inter-annual scale. Even if currently comparison between CH4 and N2O inversion estimates and NGHGIs is highly uncertain because of the large spread in the inversion results, TD inversions inferred from atmospheric observations represent the most independent data against which inventory totals can be compared. With anticipated improvements in atmospheric modeling and observations, as well as modeling of natural fluxes, TD inversions may arguably emerge as the most powerful tool for verifying emission inventories for CH4, N2O and other GHGs. The referenced datasets related to figures are visualized at https://doi.org/10.5281/zenodo.7553800 (Petrescu et al., 2023).
Published: 2023
Full Text: View/download PDF

3. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies

Author: A. Berchet, E. Sollum, R. L. Thompson, I. Pison, J. Thanwerdas, G. Broquet, F. Chevallier, T. Aalto, P. Bergamaschi, D. Brunner, R. Engelen, A. Fortems-Cheiney, C. Gerbig, C. D. Groot Zwaaftink, J.-M. Haussaire, S. Henne, S. Houweling, U. Karstens, W. L. Kutsch, I. T. Luijkx, G. Monteil, P. I. Palmer, J. C. A. van Peet, W. Peters, P. Peylin, E. Potier, C. Rödenbeck, M. Saunois, M. Scholze, A. Tsuruta, and Y. Zhao
Subjects: Geology, QE1-996.5
Abstract: Atmospheric inversion approaches are expected to play a critical role in future observation-based monitoring systems for surface fluxes of greenhouse gases (GHGs), pollutants and other trace gases. In the past decade, the research community has developed various inversion software, mainly using variational or ensemble Bayesian optimization methods, with various assumptions on uncertainty structures and prior information and with various atmospheric chemistry–transport models. Each of them can assimilate some or all of the available observation streams for its domain area of interest: flask samples, in situ measurements or satellite observations. Although referenced in peer-reviewed publications and usually accessible across the research community, most systems are not at the level of transparency, flexibility and accessibility needed to provide the scientific community and policy makers with a comprehensive and robust view of the uncertainties associated with the inverse estimation of GHG and reactive species fluxes. Furthermore, their development, usually carried out by individual research institutes, may in the future not keep pace with the increasing scientific needs and technical possibilities. We present here the Community Inversion Framework (CIF) to help rationalize development efforts and leverage the strengths of individual inversion systems into a comprehensive framework. The CIF is primarily a programming protocol to allow various inversion bricks to be exchanged among researchers. In practice, the ensemble of bricks makes a flexible, transparent and open-source Python-based tool to estimate the fluxes of various GHGs and reactive species both at the global and regional scales. It will allow for running different atmospheric transport models, different observation streams and different data assimilation approaches. This adaptability will allow for a comprehensive assessment of uncertainty in a fully consistent framework. We present here the main structure and functionalities of the system, and we demonstrate how it operates in a simple academic case.
Published: 2021
Full Text: View/download PDF

4. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017

Author: A. M. R. Petrescu, C. Qiu, P. Ciais, R. L. Thompson, P. Peylin, M. J. McGrath, E. Solazzo, G. Janssens-Maenhout, F. N. Tubiello, P. Bergamaschi, D. Brunner, G. P. Peters, L. Höglund-Isaksson, P. Regnier, R. Lauerwald, D. Bastviken, A. Tsuruta, W. Winiwarter, P. K. Patra, M. Kuhnert, G. D. Oreggioni, M. Crippa, M. Saunois, L. Perugini, T. Markkanen, T. Aalto, C. D. Groot Zwaaftink, Y. Yao, C. Wilson, G. Conchedda, D. Günther, A. Leip, P. Smith, J.-M. Haussaire, A. Leppänen, A. J. Manning, J. McNorton, P. Brockmann, and A. J. Dolman
Subjects: Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract: Reliable quantification of the sources and sinks of greenhouse gases, together with trends and uncertainties, is essential to monitoring the progress in mitigating anthropogenic emissions under the Paris Agreement. This study provides a consolidated synthesis of CH4 and N2O emissions with consistently derived state-of-the-art bottom-up (BU) and top-down (TD) data sources for the European Union and UK (EU27 + UK). We integrate recent emission inventory data, ecosystem process-based model results and inverse modeling estimates over the period 1990–2017. BU and TD products are compared with European national greenhouse gas inventories (NGHGIs) reported to the UN climate convention UNFCCC secretariat in 2019. For uncertainties, we used for NGHGIs the standard deviation obtained by varying parameters of inventory calculations, reported by the member states (MSs) following the recommendations of the IPCC Guidelines. For atmospheric inversion models (TD) or other inventory datasets (BU), we defined uncertainties from the spread between different model estimates or model-specific uncertainties when reported. In comparing NGHGIs with other approaches, a key source of bias is the activities included, e.g., anthropogenic versus anthropogenic plus natural fluxes. In inversions, the separation between anthropogenic and natural emissions is sensitive to the geospatial prior distribution of emissions. Over the 2011–2015 period, which is the common denominator of data availability between all sources, the anthropogenic BU approaches are directly comparable, reporting mean emissions of 20.8 Tg CH4 yr−1 (EDGAR v5.0) and 19.0 Tg CH4 yr−1 (GAINS), consistent with the NGHGI estimates of 18.9 ± 1.7 Tg CH4 yr−1. The estimates of TD total inversions give higher emission estimates, as they also include natural emissions. Over the same period regional TD inversions with higher-resolution atmospheric transport models give a mean emission of 28.8 Tg CH4 yr−1. Coarser-resolution global TD inversions are consistent with regional TD inversions, for global inversions with GOSAT satellite data (23.3 Tg CH4 yr−1) and surface network (24.4 Tg CH4 yr−1). The magnitude of natural peatland emissions from the JSBACH–HIMMELI model, natural rivers and lakes emissions, and geological sources together account for the gap between NGHGIs and inversions and account for 5.2 Tg CH4 yr−1. For N2O emissions, over the 2011–2015 period, both BU approaches (EDGAR v5.0 and GAINS) give a mean value of anthropogenic emissions of 0.8 and 0.9 Tg N2O yr−1, respectively, agreeing with the NGHGI data (0.9 ± 0.6 Tg N2O yr−1). Over the same period, the average of the three total TD global and regional inversions was 1.3 ± 0.4 and 1.3 ± 0.1 Tg N2O yr−1, respectively. The TD and BU comparison method defined in this study can be operationalized for future yearly updates for the calculation of CH4 and N2O budgets both at the EU+UK scale and at the national scale. The referenced datasets related to figures are visualized at https://doi.org/10.5281/zenodo.4590875 (Petrescu et al., 2020b).
Published: 2021
Full Text: View/download PDF

5. Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO2

Author: T. Thum, J. E. M. S. Nabel, A. Tsuruta, T. Aalto, E. J. Dlugokencky, J. Liski, I. T. Luijkx, T. Markkanen, J. Pongratz, Y. Yoshida, and S. Zaehle
Subjects: Ecology, QH540-549.5, Life, QH501-531, Geology, QE1-996.5
Abstract: The trajectories of soil carbon in our changing climate are of the utmost importance as soil is a substantial carbon reservoir with a large potential to impact the atmospheric carbon dioxide (CO2) burden. Atmospheric CO2 observations integrate all processes affecting carbon exchange between the surface and the atmosphere and therefore are suitable for carbon cycle model evaluation. In this study, we present a framework for how to use atmospheric CO2 observations to evaluate two distinct soil carbon models (CBALANCE, CBA, and Yasso, YAS) that are implemented in a global land surface model (JSBACH). We transported the biospheric carbon fluxes obtained by JSBACH using the atmospheric transport model TM5 to obtain atmospheric CO2. We then compared these results with surface observations from Global Atmosphere Watch stations, as well as with column XCO2 retrievals from GOSAT (Greenhouse Gases Observing Satellite). The seasonal cycles of atmospheric CO2 estimated by the two different soil models differed. The estimates from the CBALANCE soil model were more in line with the surface observations at low latitudes (0–45∘ N) with only a 1 % bias in the seasonal cycle amplitude, whereas Yasso underestimated the seasonal cycle amplitude in this region by 32 %. Yasso, on the other hand, gave more realistic seasonal cycle amplitudes of CO2 at northern boreal sites (north of 45∘ N) with an underestimation of 15 % compared to a 30 % overestimation by CBALANCE. Generally, the estimates from CBALANCE were more successful in capturing the seasonal patterns and seasonal cycle amplitudes of atmospheric CO2 even though it overestimated soil carbon stocks by 225 % (compared to an underestimation of 36 % by Yasso), and its estimations of the global distribution of soil carbon stocks were unrealistic. The reasons for these differences in the results are related to the different environmental drivers and their functional dependencies on the two soil carbon models. In the tropics, heterotrophic respiration in the Yasso model increased earlier in the season since it is driven by precipitation instead of soil moisture, as in CBALANCE. In temperate and boreal regions, the role of temperature is more dominant. There, heterotrophic respiration from the Yasso model had a larger seasonal amplitude, which is driven by air temperature, compared to CBALANCE, which is driven by soil temperature. The results underline the importance of using sub-annual data in the development of soil carbon models when they are used at shorter than annual timescales.
Published: 2020
Full Text: View/download PDF

6. Maesaka-Seki-Watanabe's formula for multiple harmonic $q$-sums

Author: Tsuruta, Yuto
Subjects: Mathematics - Number Theory, Mathematics - Combinatorics
Abstract: Maesaka, Seki, and Watanabe recently discovered an equality called the MSW formula. This paper provides a $q$-analogue of the MSW formula. It discusses the new proof of the duality relation for finite multiple harmonic $q$-series at primitive roots of unity via $q$-analogue of the MSW formula. This paper also gives a $q$-analogue of Yamamoto's generalization of the MSW formula for Schur type., Comment: 12 pages
Published: 2024

7. A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models

Author: Tsuruta, Hirofumi, Yamazaki, Hiroyuki, Maeda, Ryota, Tamura, Ryotaro, and Imura, Akihiro
Subjects: Computer Science - Machine Learning, Quantitative Biology - Genomics
Abstract: Antibodies are crucial proteins produced by the immune system to eliminate harmful foreign substances and have become pivotal therapeutic agents for treating human diseases. To accelerate the discovery of antibody therapeutics, there is growing interest in constructing language models using antibody sequences. However, the applicability of pre-trained language models for antibody discovery has not been thoroughly evaluated due to the scarcity of labeled datasets. To overcome these limitations, we introduce AVIDa-SARS-CoV-2, a dataset featuring the antigen-variable domain of heavy chain of heavy chain antibody (VHH) interactions obtained from two alpacas immunized with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike proteins. AVIDa-SARS-CoV-2 includes binary labels indicating the binding or non-binding of diverse VHH sequences to 12 SARS-CoV-2 mutants, such as the Delta and Omicron variants. Furthermore, we release VHHCorpus-2M, a pre-training dataset for antibody language models, containing over two million VHH sequences. We report benchmark results for predicting SARS-CoV-2-VHH binding using VHHBERT pre-trained on VHHCorpus-2M and existing general protein and antibody-specific pre-trained language models. These results confirm that AVIDa-SARS-CoV-2 provides valuable benchmarks for evaluating the representation capabilities of antibody language models for binding prediction, thereby facilitating the development of AI-driven antibody discovery. The datasets are available at https://datasets.cognanous.com.
Published: 2024

8. The Global Methane Budget 2000–2017

Author: M. Saunois, A. R. Stavert, B. Poulter, P. Bousquet, J. G. Canadell, R. B. Jackson, P. A. Raymond, E. J. Dlugokencky, S. Houweling, P. K. Patra, P. Ciais, V. K. Arora, D. Bastviken, P. Bergamaschi, D. R. Blake, G. Brailsford, L. Bruhwiler, K. M. Carlson, M. Carrol, S. Castaldi, N. Chandra, C. Crevoisier, P. M. Crill, K. Covey, C. L. Curry, G. Etiope, C. Frankenberg, N. Gedney, M. I. Hegglin, L. Höglund-Isaksson, G. Hugelius, M. Ishizawa, A. Ito, G. Janssens-Maenhout, K. M. Jensen, F. Joos, T. Kleinen, P. B. Krummel, R. L. Langenfelds, G. G. Laruelle, L. Liu, T. Machida, S. Maksyutov, K. C. McDonald, J. McNorton, P. A. Miller, J. R. Melton, I. Morino, J. Müller, F. Murguia-Flores, V. Naik, Y. Niwa, S. Noce, S. O'Doherty, R. J. Parker, C. Peng, S. Peng, G. P. Peters, C. Prigent, R. Prinn, M. Ramonet, P. Regnier, W. J. Riley, J. A. Rosentreter, A. Segers, I. J. Simpson, H. Shi, S. J. Smith, L. P. Steele, B. F. Thornton, H. Tian, Y. Tohjima, F. N. Tubiello, A. Tsuruta, N. Viovy, A. Voulgarakis, T. S. Weber, M. van Weele, G. R. van der Werf, R. F. Weiss, D. Worthy, D. Wunch, Y. Yin, Y. Yoshida, W. Zhang, Z. Zhang, Y. Zhao, B. Zheng, Q. Zhu, and Q. Zhuang
Subjects: Environmental sciences, GE1-350, Geology, QE1-996.5
Abstract: Understanding and quantifying the global methane (CH4) budget is important for assessing realistic pathways to mitigate climate change. Atmospheric emissions and concentrations of CH4 continue to increase, making CH4 the second most important human-influenced greenhouse gas in terms of climate forcing, after carbon dioxide (CO2). The relative importance of CH4 compared to CO2 depends on its shorter atmospheric lifetime, stronger warming potential, and variations in atmospheric growth rate over the past decade, the causes of which are still debated. Two major challenges in reducing uncertainties in the atmospheric growth rate arise from the variety of geographically overlapping CH4 sources and from the destruction of CH4 by short-lived hydroxyl radicals (OH). To address these challenges, we have established a consortium of multidisciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate new research aimed at improving and regularly updating the global methane budget. Following Saunois et al. (2016), we present here the second version of the living review paper dedicated to the decadal methane budget, integrating results of top-down studies (atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up estimates (including process-based models for estimating land surface emissions and atmospheric chemistry, inventories of anthropogenic emissions, and data-driven extrapolations). For the 2008–2017 decade, global methane emissions are estimated by atmospheric inversions (a top-down approach) to be 576 Tg CH4 yr−1 (range 550–594, corresponding to the minimum and maximum estimates of the model ensemble). Of this total, 359 Tg CH4 yr−1 or ∼ 60 % is attributed to anthropogenic sources, that is emissions caused by direct human activity (i.e. anthropogenic emissions; range 336–376 Tg CH4 yr−1 or 50 %–65 %). The mean annual total emission for the new decade (2008–2017) is 29 Tg CH4 yr−1 larger than our estimate for the previous decade (2000–2009), and 24 Tg CH4 yr−1 larger than the one reported in the previous budget for 2003–2012 (Saunois et al., 2016). Since 2012, global CH4 emissions have been tracking the warmest scenarios assessed by the Intergovernmental Panel on Climate Change. Bottom-up methods suggest almost 30 % larger global emissions (737 Tg CH4 yr−1, range 594–881) than top-down inversion methods. Indeed, bottom-up estimates for natural sources such as natural wetlands, other inland water systems, and geological sources are higher than top-down estimates. The atmospheric constraints on the top-down budget suggest that at least some of these bottom-up emissions are overestimated. The latitudinal distribution of atmospheric observation-based emissions indicates a predominance of tropical emissions (∼ 65 % of the global budget, < 30∘ N) compared to mid-latitudes (∼ 30 %, 30–60∘ N) and high northern latitudes (∼ 4 %, 60–90∘ N). The most important source of uncertainty in the methane budget is attributable to natural emissions, especially those from wetlands and other inland waters. Some of our global source estimates are smaller than those in previously published budgets (Saunois et al., 2016; Kirschke et al., 2013). In particular wetland emissions are about 35 Tg CH4 yr−1 lower due to improved partition wetlands and other inland waters. Emissions from geological sources and wild animals are also found to be smaller by 7 Tg CH4 yr−1 by 8 Tg CH4 yr−1, respectively. However, the overall discrepancy between bottom-up and top-down estimates has been reduced by only 5 % compared to Saunois et al. (2016), due to a higher estimate of emissions from inland waters, highlighting the need for more detailed research on emissions factors. Priorities for improving the methane budget include (i) a global, high-resolution map of water-saturated soils and inundated areas emitting methane based on a robust classification of different types of emitting habitats; (ii) further development of process-based models for inland-water emissions; (iii) intensification of methane observations at local scales (e.g., FLUXNET-CH4 measurements) and urban-scale monitoring to constrain bottom-up land surface models, and at regional scales (surface networks and satellites) to constrain atmospheric inversions; (iv) improvements of transport models and the representation of photochemical sinks in top-down inversions; and (v) development of a 3D variational inversion system using isotopic and/or co-emitted species such as ethane to improve source partitioning. The data presented here can be downloaded from https://doi.org/10.18160/GCP-CH4-2019 (Saunois et al., 2020) and from the Global Carbon Project.
Published: 2020
Full Text: View/download PDF

9. Bezold Abscess in a Case of Eosinophilic Otitis Media

Author: Tsuruta, Satoshi and Fujiwara, Takashi
Subjects: Mastoiditis, Otitis media, abscess, Eosinophilic otitis media
Abstract: Case Presentation: A 57-year-old man with a history of bronchial asthma and eosinophilic sinusitis presented to the emergency department with an exacerbation of otitis media. His primary complaints were otopyorrhea, headache, and neck pain with redness. Contrast-enhanced computed tomography revealed a posterior neck abscess contiguous with the mastoid process. The patient underwent mastoidectomy and received antimicrobial therapy. Eosinophilic granulation tissue in the middle ear obstructed the middle ear aditus and directed the inflammatory process toward the mastoid tip. Discussion: Bezold abscess is a rare extracranial complication of acute mastoiditis. Therefore, clinicians should consider neck pain with redness as an important physical sign that suggests Bezold abscess in patients with otitis media.
Published: 2024

10. Anatomical Flow Diversion by Hybrid Strategy for Intractable Large Cerebral Aneurysms

Author: Tsuruta, Wataro, Hara, Takayuki, Miyamoto, Satoshi, Isozaki, Jun, Ishigami, Daiichiro, Hosoo, Hisayuki, Ito, Yoshiro, Hayakawa, Mikito, Marushima, Aiki, and Matsumaru, Yuji
Published: 2024
Full Text: View/download PDF

11. Inverse modelling of European CH4 emissions during 2006–2012 using different inverse models and reassessed atmospheric observations

Author: P. Bergamaschi, U. Karstens, A. J. Manning, M. Saunois, A. Tsuruta, A. Berchet, A. T. Vermeulen, T. Arnold, G. Janssens-Maenhout, S. Hammer, I. Levin, M. Schmidt, M. Ramonet, M. Lopez, J. Lavric, T. Aalto, H. Chen, D. G. Feist, C. Gerbig, L. Haszpra, O. Hermansen, G. Manca, J. Moncrieff, F. Meinhardt, J. Necki, M. Galkowski, S. O'Doherty, N. Paramonova, H. A. Scheeren, M. Steinbacher, and E. Dlugokencky
Subjects: Physics, QC1-999, Chemistry, QD1-999
Abstract: We present inverse modelling (top down) estimates of European methane (CH4) emissions for 2006–2012 based on a new quality-controlled and harmonised in situ data set from 18 European atmospheric monitoring stations. We applied an ensemble of seven inverse models and performed four inversion experiments, investigating the impact of different sets of stations and the use of a priori information on emissions. The inverse models infer total CH4 emissions of 26.8 (20.2–29.7) Tg CH4 yr−1 (mean, 10th and 90th percentiles from all inversions) for the EU-28 for 2006–2012 from the four inversion experiments. For comparison, total anthropogenic CH4 emissions reported to UNFCCC (bottom up, based on statistical data and emissions factors) amount to only 21.3 Tg CH4 yr−1 (2006) to 18.8 Tg CH4 yr−1 (2012). A potential explanation for the higher range of top-down estimates compared to bottom-up inventories could be the contribution from natural sources, such as peatlands, wetlands, and wet soils. Based on seven different wetland inventories from the Wetland and Wetland CH4 Inter-comparison of Models Project (WETCHIMP), total wetland emissions of 4.3 (2.3–8.2) Tg CH4 yr−1 from the EU-28 are estimated. The hypothesis of significant natural emissions is supported by the finding that several inverse models yield significant seasonal cycles of derived CH4 emissions with maxima in summer, while anthropogenic CH4 emissions are assumed to have much lower seasonal variability. Taking into account the wetland emissions from the WETCHIMP ensemble, the top-down estimates are broadly consistent with the sum of anthropogenic and natural bottom-up inventories. However, the contribution of natural sources and their regional distribution remain rather uncertain. Furthermore, we investigate potential biases in the inverse models by comparison with regular aircraft profiles at four European sites and with vertical profiles obtained during the Infrastructure for Measurement of the European Carbon Cycle (IMECC) aircraft campaign. We present a novel approach to estimate the biases in the derived emissions, based on the comparison of simulated and measured enhancements of CH4 compared to the background, integrated over the entire boundary layer and over the lower troposphere. The estimated average regional biases range between −40 and 20 % at the aircraft profile sites in France, Hungary and Poland.
Published: 2018
Full Text: View/download PDF

12. Response of water use efficiency to summer drought in a boreal Scots pine forest in Finland

Author: Y. Gao, T. Markkanen, M. Aurela, I. Mammarella, T. Thum, A. Tsuruta, H. Yang, and T. Aalto
Subjects: Ecology, QH540-549.5, Life, QH501-531, Geology, QE1-996.5
Abstract: The influence of drought on plant functioning has received considerable attention in recent years, however our understanding of the response of carbon and water coupling to drought in terrestrial ecosystems still needs to be improved. A severe soil moisture drought occurred in southern Finland in the late summer of 2006. In this study, we investigated the response of water use efficiency to summer drought in a boreal Scots pine forest (Pinus sylvestris) on the daily time scale mainly using eddy covariance flux data from the Hyytiälä (southern Finland) flux site. In addition, simulation results from the JSBACH land surface model were evaluated against the observed results. Based on observed data, the ecosystem level water use efficiency (EWUE; the ratio of gross primary production, GPP, to evapotranspiration, ET) showed a decrease during the severe soil moisture drought, while the inherent water use efficiency (IWUE; a quantity defined as EWUE multiplied with mean daytime vapour pressure deficit, VPD) increased and the underlying water use efficiency (uWUE, a metric based on IWUE and a simple stomatal model, is the ratio of GPP multiplied with a square root of VPD to ET) was unchanged during the drought. The decrease in EWUE was due to the stronger decline in GPP than in ET. The increase in IWUE was because of the decreased stomatal conductance under increased VPD. The unchanged uWUE indicates that the trade-off between carbon assimilation and transpiration of the boreal Scots pine forest was not disturbed by this drought event at the site. The JSBACH simulation showed declines of both GPP and ET under the severe soil moisture drought, but to a smaller extent compared to the observed GPP and ET. Simulated GPP and ET led to a smaller decrease in EWUE but a larger increase in IWUE because of the severe soil moisture drought in comparison to observations. As in the observations, the simulated uWUE showed no changes in the drought event. The model deficiencies exist mainly due to the lack of the limiting effect of increased VPD on stomatal conductance during the low soil moisture condition. Our study provides a deeper understanding of the coupling of carbon and water cycles in the boreal Scots pine forest ecosystem and suggests possible improvements to land surface models, which play an important role in the prediction of biosphere–atmosphere feedbacks in the climate system.
Published: 2017
Full Text: View/download PDF

13. The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015

Author: I. T. van der Laan-Luijkx, I. R. van der Velde, E. van der Veen, A. Tsuruta, K. Stanislawska, A. Babenhauserheide, H. F. Zhang, Y. Liu, W. He, H. Chen, K. A. Masarie, M. C. Krol, and W. Peters
Subjects: Geology, QE1-996.5
Abstract: Data assimilation systems are used increasingly to constrain the budgets of reactive and long-lived gases measured in the atmosphere. Each trace gas has its own lifetime, dominant sources and sinks, and observational network (from flask sampling and in situ measurements to space-based remote sensing) and therefore comes with its own optimal configuration of the data assimilation. The CarbonTracker Europe data assimilation system for CO2 estimates global carbon sources and sinks, and updates are released annually and used in carbon cycle studies. CarbonTracker Europe simulations are performed using the new modular implementation of the data assimilation system: the CarbonTracker Data Assimilation Shell (CTDAS). Here, we present and document this redesign of the data assimilation code that forms the heart of CarbonTracker, specifically meant to enable easy extension and modification of the data assimilation system. This paper also presents the setup of the latest version of CarbonTracker Europe (CTE2016), including the use of the gridded state vector, and shows the resulting carbon flux estimates. We present the distribution of the carbon sinks over the hemispheres and between the land biosphere and the oceans. We show that with equal fossil fuel emissions, 2015 has a higher atmospheric CO2 growth rate compared to 2014, due to reduced net land carbon uptake in later year. The European carbon sink is especially present in the forests, and the average net uptake over 2001–2015 was 0. 17 ± 0. 11 PgC yr−1 with reductions to zero during drought years. Finally, we also demonstrate the versatility of CTDAS by presenting an overview of the wide range of applications for which it has been used so far.
Published: 2017
Full Text: View/download PDF

14. Global methane emission estimates for 2000–2012 from CarbonTracker Europe-CH4 v1.0

Author: A. Tsuruta, T. Aalto, L. Backman, J. Hakkarainen, I. T. van der Laan-Luijkx, M. C. Krol, R. Spahni, S. Houweling, M. Laine, E. Dlugokencky, A. J. Gomez-Pelaez, M. van der Schoot, R. Langenfelds, R. Ellul, J. Arduini, F. Apadula, C. Gerbig, D. G. Feist, R. Kivi, Y. Yoshida, and W. Peters
Subjects: Geology, QE1-996.5
Abstract: We present a global distribution of surface methane (CH4) emission estimates for 2000–2012 derived using the CarbonTracker Europe-CH4 (CTE-CH4) data assimilation system. In CTE-CH4, anthropogenic and biospheric CH4 emissions are simultaneously estimated based on constraints of global atmospheric in situ CH4 observations. The system was configured to either estimate only anthropogenic or biospheric sources per region, or to estimate both categories simultaneously. The latter increased the number of optimizable parameters from 62 to 78. In addition, the differences between two numerical schemes available to perform turbulent vertical mixing in the atmospheric transport model TM5 were examined. Together, the system configurations encompass important axes of uncertainty in inversions and allow us to examine the robustness of the flux estimates. The posterior emission estimates are further evaluated by comparing simulated atmospheric CH4 to surface in situ observations, vertical profiles of CH4 made by aircraft, remotely sensed dry-air total column-averaged mole fraction (XCH4) from the Total Carbon Column Observing Network (TCCON), and XCH4 from the Greenhouse gases Observing Satellite (GOSAT). The evaluation with non-assimilated observations shows that posterior XCH4 is better matched with the retrievals when the vertical mixing scheme with faster interhemispheric exchange is used. Estimated posterior mean total global emissions during 2000–2012 are 516 ± 51 Tg CH4 yr−1, with an increase of 18 Tg CH4 yr−1 from 2000–2006 to 2007–2012. The increase is mainly driven by an increase in emissions from South American temperate, Asian temperate and Asian tropical TransCom regions. In addition, the increase is hardly sensitive to different model configurations ( 4 yr−1 difference), and much smaller than suggested by EDGAR v4.2 FT2010 inventory (33 Tg CH4 yr−1), which was used for prior anthropogenic emission estimates. The result is in good agreement with other published estimates from inverse modelling studies (16–20 Tg CH4 yr−1). However, this study could not conclusively separate a small trend in biospheric emissions (−5 to +6.9 Tg CH4 yr−1) from the much larger trend in anthropogenic emissions (15–27 Tg CH4 yr−1). Finally, we find that the global and North American CH4 balance could be closed over this time period without the previously suggested need to strongly increase anthropogenic CH4 emissions in the United States. With further developments, especially on the treatment of the atmospheric CH4 sink, we expect the data assimilation system presented here will be able to contribute to the ongoing interpretation of changes in this important greenhouse gas budget.
Published: 2017
Full Text: View/download PDF

15. Evanescently coupled topological ring-waveguide systems for chip-scale ultrahigh frequency phononic circuits

Author: Hatanaka, Daiki, Takeshita, Hiroaki, Kataoka, Motoki, Okamoto, Hajime, Tsuruta, Kenji, and Yamaguchi, Hiroshi
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: Topological phononics enabling backscattering-immune transport is expected to improve the performance of electromechanical systems for classical and quantum information technologies. Nonetheless, most of the previous demonstrations utilized macroscale and low-frequency structures and thus offered little experimental insight into ultrahigh frequency phonon transport, especially in chip-scale circuits. Here, we report microwave phonon transmissions in a microscopic topological ring-waveguide coupled system, which is an important building block for wave-based signal processing. The elastic waves in the topological waveguide evanescently couple to the ring resonator, while maintaining the valley pseudospin polarization. The resultant waves are robust to backscattering even in the tiny hexagonal ring, generating a resonant phonon circulation. Furthermore, the evanescently coupled structure allows for a critical coupling, where valley-dependent ring-waveguide interference enables blocking of the topological edge transmission. Our demonstrations reveal the capability of using topological phenomena to manipulate ultrahigh frequency elastic waves in intricate phononic circuits for classical and quantum signal-processing applications., Comment: 13 pages, 9 figures
Published: 2023
Full Text: View/download PDF

16. DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials

Author: Tsuruta, Hirofumi, Katsura, Yukari, and Kumagai, Masaya
Subjects: Condensed Matter - Materials Science, Computer Science - Machine Learning
Abstract: Machine learning (ML) is becoming increasingly popular for predicting material properties to accelerate materials discovery. Because material properties are strongly affected by its crystal structure, a key issue is converting the crystal structure into the features for input to the ML model. Currently, the most common method is to convert the crystal structure into a graph and predicting its properties using a graph neural network (GNN). Some GNN models, such as crystal graph convolutional neural network (CGCNN) and atomistic line graph neural network (ALIGNN), have achieved highly accurate predictions of material properties. Despite these successes, using a graph to represent a crystal structure has the notable limitation of losing the crystal structure's three-dimensional (3D) information. In this work, we propose DeepCrysTet, a novel deep learning approach for predicting material properties, which uses crystal structures represented as a 3D tetrahedral mesh generated by Delaunay tetrahedralization. DeepCrysTet provides a useful framework that includes a 3D mesh generation method, mesh-based feature design, and neural network design. The experimental results using the Materials Project dataset show that DeepCrysTet significantly outperforms existing GNN models in classifying crystal structures and achieves state-of-the-art performance in predicting elastic properties.
Published: 2023

17. AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions

Author: Tsuruta, Hirofumi, Yamazaki, Hiroyuki, Maeda, Ryota, Tamura, Ryotaro, Wei, Jennifer N., Mariet, Zelda, Phloyphisut, Poomarin, Shimokawa, Hidetoshi, Ledsam, Joseph R., Colwell, Lucy, and Imura, Akihiro
Subjects: Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods
Abstract: Antibodies have become an important class of therapeutic agents to treat human diseases. To accelerate therapeutic antibody discovery, computational methods, especially machine learning, have attracted considerable interest for predicting specific interactions between antibody candidates and target antigens such as viruses and bacteria. However, the publicly available datasets in existing works have notable limitations, such as small sizes and the lack of non-binding samples and exact amino acid sequences. To overcome these limitations, we have developed AVIDa-hIL6, a large-scale dataset for predicting antigen-antibody interactions in the variable domain of heavy chain of heavy chain antibodies (VHHs), produced from an alpaca immunized with the human interleukin-6 (IL-6) protein, as antigens. By leveraging the simple structure of VHHs, which facilitates identification of full-length amino acid sequences by DNA sequencing technology, AVIDa-hIL6 contains 573,891 antigen-VHH pairs with amino acid sequences. All the antigen-VHH pairs have reliable labels for binding or non-binding, as generated by a novel labeling method. Furthermore, via introduction of artificial mutations, AVIDa-hIL6 contains 30 different mutants in addition to wild-type IL-6 protein. This characteristic provides opportunities to develop machine learning models for predicting changes in antibody binding by antigen mutations. We report experimental benchmark results on AVIDa-hIL6 by using machine learning models. The results indicate that the existing models have potential, but further research is needed to generalize them to predict effective antibodies against unknown mutants. The dataset is available at https://avida-hil6.cognanous.com.
Published: 2023

18. Partial Hydrogenation of N-heteropentacene: Impact on molecular packing and electronic structure

Author: Ono, Yutaro, Tsuruta, Ryohei, Nobeyama, Tomohiro, Matsui, Kazuki, Sasaki, Masahiro, Tadokoro, Makoto, Nakayama, Yasuo, and Yamada, Yoichi
Subjects: Condensed Matter - Materials Science
Abstract: Four-nitrogen-containing 5,6,13,14-Tetraazapentacene (BTANC) has attracted attention as a new n-type organic semiconductor with a rigid crystalline phase due to intermolecular CH-N hydrogen bonding. However, in the thin film transistor of BTANC, poor carrier transport properties and low stability in the ambient condition have been reported so far; thus further refining and understanding of the thin film of BTANC will be required. Here, by means of carefully-controlled vacuum deposition of BTANC in the narrow window of temperature avoiding impurity sublimation and thermal degradation of molecules, we produced a well-defined monolayer on Cu(111) for molecular-level investigations. Synchrotron photoemission of the monolayer revealed a noticeable alteration of the chemical state of N atoms, which is unexpected for the pure BTANC molecule. In addition, molecular imaging of the monolayer by scanning tunneling microscope (STM) revealed that the molecular packing structure in the monolayer significantly differed from that in the single crystal of BTANC. These observations can be interpreted as a result of the partial hydrogenation of N atoms in BTANC and the emergence of the NH-N type intermolecular hydrogen bonding in the monolayer. These findings will provide a general remark and strategy to control the molecular packing structure and electronic property in the molecular films of the nitrogen-containing acenes, by means of controlled hydrogenation., Comment: 27 pages, including supplementary material, 4 figures in the main text, 2 supplementary figures
Published: 2023

19. Ultralow radiant exposure of a short-pulsed laser to disrupt melanosomes with localized thermal damage through a turbid medium

Author: Shimojo, Yu, Nishimura, Takahiro, Tsuruta, Daisuke, and Ozawa, Toshiyuki
Published: 2024
Full Text: View/download PDF

20. Marker effect p-values for single-step GWAS with the algorithm for proven and young in large genotyped populations

Author: Leite, Natália Galoro, Bermann, Matias, Tsuruta, Shogo, Misztal, Ignacy, and Lourenco, Daniela
Published: 2024
Full Text: View/download PDF

21. Epigenetic repression of de novo cysteine synthetases induces intra-cellular accumulation of cysteine in hepatocarcinoma by up-regulating the cystine uptake transporter xCT

Author: Yamauchi, Tomoaki, Okano, Yumi, Terada, Daishu, Yasukochi, Sai, Tsuruta, Akito, Tsurudome, Yuya, Ushijima, Kentaro, Matsunaga, Naoya, Koyanagi, Satoru, and Ohdo, Shigehiro
Published: 2024
Full Text: View/download PDF

22. Totally thoracoscopic atrial fibrillation surgery following massive small bowel resection due to superior mesenteric artery embolization: report of two cases

Author: Nakayama, Taisuke, Nakamura, Yoshitsugu, Niitsuma, Kusumi, Ushijima, Masaki, Yasumoto, Yuto, Kuroda, Miho, Nakamae, Kosuke, Minamidate, Naoshi, Hayashi, Yujiro, Tsuruta, Ryo, Ito, Yujiro, Furutachi, Akira, and Yusa, Hiroaki
Published: 2024
Full Text: View/download PDF

23. Photoinduced dynamics during electronic transfer from narrow to wide bandgap layers in one-dimensional heterostructured materials

Author: Saida, Yuri, Gauthier, Thomas, Suzuki, Hiroo, Ohmura, Satoshi, Shikata, Ryo, Iwasaki, Yui, Noyama, Godai, Kishibuchi, Misaki, Tanaka, Yuichiro, Yajima, Wataru, Godin, Nicolas, Privault, Gaël, Tokunaga, Tomoharu, Ono, Shota, Koshihara, Shin-ya, Tsuruta, Kenji, Hayashi, Yasuhiko, Bertoni, Roman, and Hada, Masaki
Published: 2024
Full Text: View/download PDF

24. Bacterial accumulation in intestinal folds induced by physical and biological factors

Author: Yang, Jinyou, Isaka, Toma, Kikuchi, Kenji, Numayama-Tsuruta, Keiko, and Ishikawa, Takuji
Published: 2024
Full Text: View/download PDF

25. Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions

Author: Tibrewal, Kushal, Ciais, Philippe, Saunois, Marielle, Martinez, Adrien, Lin, Xin, Thanwerdas, Joel, Deng, Zhu, Chevallier, Frederic, Giron, Clément, Albergel, Clément, Tanaka, Katsumasa, Patra, Prabir, Tsuruta, Aki, Zheng, Bo, Belikov, Dmitry, Niwa, Yosuke, Janardanan, Rajesh, Maksyutov, Shamil, Segers, Arjo, Tzompa-Sosa, Zitely A., Bousquet, Philppe, and Sciare, Jean
Published: 2024
Full Text: View/download PDF

26. Tissue culture response and in vitro plant regeneration of ‘Haruka’ (Cerasus Sato-zakura Group ‘Haruka’), a new cultivar of Japanese flowering cherry

Author: Maruyama, Tsuyoshi E., Tsuruta, Momi, and Katsuki, Toshio
Published: 2024
Full Text: View/download PDF

27. Ambipolar Heating of Magnetars

Author: Tsuruta, Sachiko, Kelly, Madeline J., Nomoto, Ken'ichi, Mori, Kanji, Teter, Marcus, and Liebmann, Andrew C.
Subjects: Astrophysics - High Energy Astrophysical Phenomena
Abstract: Magnetars, neutron stars thought to be with ultra-strong magnetic fields of $10^{14 - 15}$ G, are observed to be much hotter than ordinary pulsars with $\sim 10^{12}$ G, and additional heating sources are required. One possibility is heating by the ambipolar diffusion in the stellar core. This scenario is examined by calculating the models using the relativistic thermal evolutionary code without making the isothermal approximation. The results show that this scenario can be consistent with most of the observed magnetar temperature data., Comment: 12 pages, 4 figures, 1 table. Accepted by the Astrophysical Journal on February 9, 2023
Published: 2023
Full Text: View/download PDF

28. Study of original B cells producing pathogenic IgG and IgA autoantibodies in anti-BP180-type mucous membrane pemphigoid

Author: Hayashi, Daisuke, Hashimoto, Takashi, Mine, Mako, Ishii, Norito, Hashimoto, Koji, Tsuchisaka, Atsunari, and Tsuruta, Daisuke
Published: 2024
Full Text: View/download PDF

29. Autonomous Navigation of a Mobile Robot with a Monocular Camera Using Deep Reinforcement Learning and Semantic Image Segmentation.

Author: Ryuto Tsuruta and Kazuyuki Morioka
Published: 2024
Full Text: View/download PDF

30. Polyhedral Realization as Deltahedra Using Subgraph Isomorphism Test

Author: Tsuruta, Naoya, Xhafa, Fatos, Series Editor, and Takenouchi, Kazuki, editor
Published: 2024
Full Text: View/download PDF

31. Aneurysm Isolation is Associated with Complete Occlusion of Aneurysms After Flow Diverter Treatment

Author: Fujitani, Shigeta, Tsuruta, Wataro, Tomioka, Arisa, Ishigami, Daiichiro, Sekine, Tomokazu, Hosoo, Hisayuki, Kamiya, Yuki, and Matsumaru, Yuji
Published: 2023
Full Text: View/download PDF

32. Prognostic factors in cutaneous apocrine carcinoma: a single-institution retrospective study of 32 patients

Author: Tsuruta, Seiji, Ogata, Dai, Namikawa, Kenjiro, Nakano, Eiji, Hiki, Kojiro, Okumura, Mao, Matsui, Yoshiyuki, Nakayama, Yuichi, Wada, Shogo, and Yamazaki, Naoya
Published: 2023
Full Text: View/download PDF

33. MetricSifter: Feature Reduction of Multivariate Time Series Data for Efficient Fault Localization in Cloud Applications.

Author: Yuuki Tsubouchi and Hirofumi Tsuruta
Published: 2024
Full Text: View/download PDF

34. Bank credit to SMEs in Japan: Evidence from normal times, the global financial crisis, and the COVID-19 crisis

Author: Tsuruta, Daisuke
Published: 2024
Full Text: View/download PDF

35. Bias correction for kernel density estimation with spherical data

Author: Tsuruta, Yasuhito
Published: 2024
Full Text: View/download PDF

36. Preventive interventions for throwing injuries in baseball players: a scoping review

Author: Karasuyama, Masaki, Tsuruta, Takashi, Kawakami, Junichi, Oike, Takuya, Uchida, Kazuki, and Minamikawa, Tomohiko
Published: 2024
Full Text: View/download PDF

37. Dehydration of turbine engine lubricant oil using cellulose hydrogel

Author: Estevam, Bianca Ramos, Perez, Isadora Dias, Gonçalves, Henrique Luiz, Zago, Gustavo Pereira, Tsuruta, Karina Mayumi, Neto, Roberto Mendes Finzi, Mancuzo, Mechelangelo Viana, Cavallini Junior, Aldemir Aparecido, Soares, João B.P., Moraes, Ângela Maria, and Fregolente, Leonardo Vasconcelos
Published: 2025
Full Text: View/download PDF

38. Impact of beta-blocker uptitration on patients after transcatheter edge-to-edge mitral valve repair for secondary mitral regurgitation: The OCEAN-mitral registry

Author: Saito, Tetsuya, Tsuruta, Hikaru, Iwata, Juri, Kajino, Akiyoshi, Sakata, Shingo, Ryuzaki, Toshinobu, Saji, Mike, Asami, Masahiko, Enta, Yusuke, Shirai, Shinichi, Izumo, Masaki, Mizuno, Shingo, Watanabe, Yusuke, Kubo, Shunsuke, Amaki, Makoto, Kodama, Kazuhisa, Yamaguchi, Junichi, Naganuma, Toru, Bota, Hiroki, Ohno, Yohei, Yamawaki, Masahiro, Ueno, Hiroshi, Mizutani, Kazuki, Nakashima, Masaki, Otsuka, Toshiaki, Yamamoto, Masanori, Ieda, Masaki, and Hayashida, Kentaro
Published: 2025
Full Text: View/download PDF

39. Automatic data-based bin width selection for rose diagram

Author: Tsuruta, Yasuhito and Sagae, Masahiko
Published: 2023
Full Text: View/download PDF

40. High plasma BNP concentration associates with clinical outcome after mechanical thrombectomy: Post hoc analysis of SKIP

Author: Aoki, Junya, Suzuki, Kentaro, Sakamoto, Yuki, Matsumaru, Yuji, Takeuchi, Masataka, Morimoto, Masafumi, Kanazawa, Ryuzaburo, Takayama, Yohei, Kamiya, Yuki, Shigeta, Keigo, Okubo, Seiji, Hayakawa, Mikito, Ishii, Norihiro, Koguchi, Yorio, Takigawa, Tomoji, Inoue, Masato, Naito, Hiromichi, Ota, Takahiro, Hirano, Teruyuki, Kato, Noriyuki, Ueda, Toshihiro, Iguchi, Yasuyuki, Akaji, Kazunori, Tsuruta, Wataro, Miki, Kazunori, Fujimoto, Shigeru, Higashida, Tetsuhiro, Iwasaki, Mitsuhiro, Kanamaru, Takuya, Saito, Tomonari, Katano, Takehiro, Kutsuna, Akihito, Nishiyama, Yasuhiro, Otsuka, Toshiaki, and Kimura, Kazumi
Published: 2024
Full Text: View/download PDF

41. Access to and quality of elective care: a prospective cohort study using hernia surgery as a tracer condition in 83 countries

Author: Dönmez, A Eylül, Goswami, Aakansha Giri, Raheja, Aashna, Bhadani, Aayush, El Kady, Abd Elrahman Safwat, Alniemi, Abdalaziz, Awad, Abdalkarim, Aladl, Abdalla, Younis, Abdalla, Alwali, Abdallah, Khalil, Abdallah, Mansour, Abdallah, Elkhouly, Abdallah Mohamed, Rashad Temerik, Abdallah, Hasan, Abdallatef, Chied, Abdelhafid, Abdraba, Abdelhamid, Hrora, Abdelmalek, Abdelshafi, Abdelrahman, Alwali, Abdelrahman, Maraqa, Abdelrahman, Ghaffar, Abdul, Chekfa, Abdul Jabar, Al Balushi, Abdul Majeed, Quddus, Abdul, Hammadieh, Abdul Rahman, Muntaka, Abdul-Jalilu Mohammed, Asekun, Abdulazeez, Alshahrani, Abdulaziz, Jowharji, Abdulaziz, Alshukre, Abdulbaset, Khair Etareig, Abdulhafid, Abubakar Abdulkarim, Abdulhafiz, Ashiru, Abdulhafiz, Alailesh, Abdulhamid, Al-Mallah, Abdullah, Baydoun, Abdullah, Chaudhry, Abdullah, Askin, Abdullah Emre, Almutairi, Abdulmjeed, Belkhair, Abdulmunem, Abdllah, Abdulrahman, Alhammali, Abdulrahman, Basalim, Abdulrahman, Abouelnagah, Abdulrahman Galal Mohamed Mostafa, Ghazal, Abdulrahman, Mohammed, Abdulrahman, Qasem, Abdulrahman, Anadani, Abdulrazak, Jimoh, Abdulrazaq, Lawal, Abdulrazzaq Oluwagbemiga, Khaity, Abdulrhman, Lawal, Abdulwahab, Elzoubi, Abdurrahim Esseid, Sheshe, Abdurrahman Abba, Cetişli, Abdurrahman Furkan, Oyedele, Abeeb, Aljahdali, Abeer, Aboelnasr, Abeer Gamal Elsyed, Demessie, Abel, Bhargava, Abhilasha, Sonkar, Abhinav Arun, Bavaharan, Abhirame, Khan, Abid, Campbell, Abigail, Oyelekan, Abimbola Adeola Akintunde, Okunlola, Abiodun Idowu, Ojewuyi, Abiodun, Ekerin, Abiola, Saleh, Abobakr, Khairy, Abouelatta, Muthunayagam, Abraham Benjamin, Botha, Abraham, Teshome Sahilemariam, Abraham, Nawawi, Abrar, Muhammad, Abubakar Bala, Dahiru, Abubakar, Yahaya, Abubakar, Abdelmalik, Abubaker, Anuar, Abul Akmal Arif, Ousseini, Adakal, Leon -Del- Angel, Adalberto, Frankel, Adam, Gyedu, Adam, Lim, Adam, Lukáč, Adam, Peckham-Cooper, Adam, Sabbah, Adam, Varga, Adam, Sanou, Adama, Issaka, Adamu, Ningi, Adamu, Yeshitila, Addis, Yingess, Addisu, Olugbami, Adebayo, Moses, Damola-Okesiji, Adebola, Lawal, Adedayo, Ojo, Adedoyin, Hashmi, Adeel, Fakoya, Adegbolahan, Ishola, Adegoke, Abiodun, Adekunle, Ajayi, Adekunle, Mouffokes, Adel, Bonelli, Adele, Adekoya, Adeleke, Akeem Aderogba, Adeleke, Özcan, Adem, Ayoade, Ademidun, Adeyeye, Ademola, Agbaje, Ademola, Talabi, Ademola, Ademuyiwa, Adesoji, Adewumiya, Adesoji, Ademuyiwa, Adesoji O, Aderounmu, Adewale, Adisa, Adewale, Oke, Adewale, Ragab, Adham, Alzadjali, Adil, Baksi, Aditya, Jayapalan, Aditya, Md Yunos, Adnan, Pisanu, Adolfo, Salazar, Adolfo, Salinas Barragan, Adrian Alberto, Fox, Adrian, Stollberg, Adrian, Franco, Adriana, Neves, Adriana, Vricheva, Adriana, Hodonou, Adrien Montcho, Aghayeva, Afag, Liaquat, Affifa, Alsultan, Afnan, Morad, Afnan, Kalidis, Afroditi Angella, Gkouniaroudi, Agathi, Karakosta, Agathi, Lovi, Agbenya, Yevide, Agossou Barthélémy, Duro, Agustin, Rodriguez Gonzalez, Agustin, Tariq, Ahbala, Abaidalla, Ahmad, Abuhammad, Ahmad, Abuhantash, Ahmad, Mansour, Ahmad Adel, Ahmad Zaidi, Ahmad Al Hafeez, Alahmad Alismael, Ahmad, Alayed, Ahmad, Alfarwan, Ahmad, Alhaj, Ahmad, Ali, Ahmad, Alroobi, Ahmad, Alsheikh, Ahmad, Alusef, Ahmad, Alzu'Bi, Ahmad, Kayali, Ahmad Amir, Bouhuwaish, Ahmad, Doghaim, Ahmad, El-Sherbiney, Ahmad, Ghazal, Ahmad, Ramly, Ahmad Nasir, Raza, Ahmad, Qureshi, Ahmad Uzair, Arnaout, Ahmad Yamen, Abdelhamid, Ahmed, Abuthaher, Ahmed, Adel, Ahmed, Ahmayda, Ahmed, Al-Mouahhed, Ahmed, Alagha, Ahmed, Albalawi, Ahmed, Albhaisi, Ahmed, Alrifaee, Ahmed, Azam, Ahmed, Barakat, Ahmed, Al-Hajjaj, Ahmed Basim Abed, Dawoud, Ahmed, El Shamarka, Ahmed, El-Bastwesy, Ahmed, Elghrieb, Ahmed, Elkhalifa, Ahmed, Elmosalamy, Ahmed, Elshazli Mahmoud, Ahmed, Montaser, Ahmed G., Gbeadese, Ahmed, Haty, Ahmed, K. Ali, Ahmed, Awad, Ahmed K., Kedwany, Ahmed, Khalleefah, Ahmed, Abbas, Ahmed M., Allam, Ahmed M., Maher, Ahmed, Elsayed, Ahmed Mohamed, Mohamed Ibrahim Mohamed, Ahmed, Mostafa, Ahmed, Nabil, Ahmed, Nada, Ahmed, Ragheb, Ahmed, Abdelrahman, Ahmed Saber Mohamed, Sabry, Ahmed, Sakr, Ahmed, Elkhodary, Ahmed Salah, Shaheen, Ahmed, Ammar, Ahmed Siddique, Hameed, Ahmer, Akmercan, Ahmet, Aslan, Ahmet, Barcin, Ahmet, Ciftci, Ahmet Burak, Bozkurt, Ahmet Çağlar, Sarı, Ahmet Can, Yaşar, Ahmet Can, Develioğlu, Ahmet, Öztürk, Ahmet Mücteba, Sanli, Ahmet Necati, Rencuzogullari, Ahmet, Yildiz, Ahmet, Kaan, Ahmet Zahit, Toi, Ahouefa Chourika Sakinath, Aljamoudi, Aida, Cheung, Aiden Chak Kei, Gkoutoula, Aikaterini, Kalogeropoulou, Aikaterini, Sarafi, Aikaterini, Abo Al Shamat, Aiman, Sanon, Aimé Serge Titianma, Sanon, Aimée Florence, Hiller, Aimée, Costas-Chavarri, Ainhoa, Lombardero, Ainhoa, Fraile, Ainoa, Bojazyah, Aisha, Kamal, Aisha, Gill, Aisling, Hada, Aïssatou, Gulla, Aiste, Mačiulaitytė, Aistė, Sukumar, Aiswarya, Landaluce-Olavarria, Aitor, Sainz Lete, Aitor, Pal, Ajay Kumar, Malik, Ajaz Ahmad, Horiguchi, Akihiko, Kocaay, Akin Firat, Akinkuolie, Akinbolaji, Olabode, Akingunloye, Fadipe, Akinniyi, Akinmade, Akinola, Darkwa Boateng, Akosua, Appiah-Kubi, Akosua Yeboaa, Alkaseek, Akram, Kadamani Abiyomaa, Akram, Anand, Akshay, Oppong, Akua, Opoku-Agyapong, Akwasi, Asharaf, Al Ameen, Ahmed, Al Samoul, Andani, Al-Hassan Dasana, Alkharusi, Al-Salt, Abd Elsattar, Alaa, Alragheai, Alaa, Alsalahat, Alaa Atta, Hawarah, Alaa, Aldirani, Alaa Nasib, Shabkah, Alaa, Nixon Fulli, Alafi Francis, Nguyen, Alain, Mustafa, Alamin, Joseph, Alan, Huws, Alaw, Aregawi, Alazar Berhe, Sanchez Gallego, Alba, Torroella, Alba, Vazquez Melero, Alba, Dauksa, Albertas, Abreu Da Silva, Alberto, Brun-Peressut, Alberto, Barranquero, Alberto G, Gegúndez Simón, Alberto, Gerundo, Alberto, Navarrete-Peón, Alberto, Viacava, Alberto, Vilar, Alberto, Adam, Albushra Altayeb, Jarimba, Aldo, Johnson, Aleena, Nuñez Venzor, Alejandra, Gonzalez Ojeda, Alejandro, Romero De Diego, Alejandro, Karamarkovic, Aleksandar, Butyrskii, Aleksandr, Edmundson, Aleksandra, Sidorova, Aleksandra, Thomas, Alen, Tomazic, Ales, Giuliani, Alessandra, Iodice, Alessandra, Marano, Alessandra, Marello, Alessandra, Ongaro, Alessandra, Saba, Alessandra, Anastasi, Alessandro, Borello, Alessandro, Broglia, Alessandro, Carta, Alessandro, Finocchio, Alessandro, Francia, Alessandro, Iacomino, Alessandro, Izzo, Alessandro, Ottaiano, Alessandro, Spaziani, Alessandro, Strumia, Alessandro, Biancafarina, Alessia, D'Ignazio, Alessia, Davolio, Alessia, Morello, Alessia, Licciardello, Alessio, Mazzoni, Alessio, Wilkins, Alex, Arekhandia, Alexander, Barlas, Alexandros, Chamzin, Alexandros, Demetriou, Alexandros, Giakoustidis, Alexandros, Kozadinos, Alexandros, Kyriakidis, Alexandros, Sarakatsanos, Alexandros, Rojas, Alexei, Saridaki, Alexia, Litchinko, Alexis, Arnaud, Alexis P, Binder, Alf-Dorian, Yakubu, Alfa, Kavalakat, Alfie, Shamsutdinova, Alfiya, Alberico, Alfonso, Amendola, Alfonso, Sánchez-Terán, Alfonso Iván, Lapergola, Alfonso, Baiden Amissah, Alfred, Königsrainer, Alfred, Twumasi, Alfred, Alhebshi, Alhasan, Abbas, Ali, Abdul Rahman, Ali, Abidali, Ali, Abu Tair, Ali, Ahmad, Ali, Al Mukhtar, Ali, Sharq, Ali Al, Alloush, Ali, Amaigl, Ali, Kheirkhah Vakilabad, Ali Asghar, Bassma, Ali, Hacioglu, Ali Doruk, Elzanaty, Ali, Fani, Ali, Farsi, Ali, Ghummied, Ali, Hajali, Ali, Al Sharqi, Ali Hamed, Hammed, Ali, Hewari, Ali, Isler, Ali, Marouf, Ali, Uysal, Ali Mert, Murtada, Ali, Syed, Ali Naqi, Ozkomec, Ali, Sapmaz, Ali, Wassouf, Ali, Aldurssi, Alia, Polatbekov, Alibek, Caltagirone, Alice, Gori, Alice, Lim, Alicia, Bhatt, Alisha, Mohammed, Aljarrah, Maxwell, Allison, Kiyabayev, Almaz, Eltayeb, Almoutaz, Khamees, Almu'atasim, Abdalla, Alnazir, Pikarsky, Alon, Trigos Díaz, Alonso, A Elhars, Alshymaa, Alhaj Zain, Altayeb, Eltahir, Altayeb, Robin Valle De Lersundi, Alvaro, Sanad, Aly, Abdalhadi, Alya, Sparke, Alyssa, Maqsood-Shah, Amaal, Ali, Amal, Ouachhou, Amal, Ahmad, Aman, Kezze, Amana, Dawson, Amanda Caroline, Ali, Amani, Mohsen, Amani, Brar, Amanpreet, Dembele, Amara, Tansawet, Amarit, Obbeng, Ambe, Chiappini, Ambra, Davis, Amelia, Awidan, Amera, Tibude, Ameya, Shah, Ami, Hilder, Amie, Huremovic, Amila, Alamin, Amin, Egdeer, Amin, Gharib, Amin, Choudhary, Amin Mazhar, Amin, Amina, Ibrahim Hassan, Amina, Rashid, Amina, Patel, Aminah, Sebai, Amine, Asla, Amir, Ghanbari, Amir, Shweiki, Amir, Tursunovic, Amir, Aboshosha, Amira Abdelbadea Abdelhamed, Elbalal, Amira, Abdelhalim, Amira Ramadan, Gupta, Amit, Sinha, Amit, Al-Fandi, Amjad, Awwad, Amjad, Belaid, Amjad, Khatib, Amjad, Al-Zubeidy, Ammar, Niazi, Ammar, Zamareh, Ammar, Salam, Ammara, Ayodele, Amoda, Al Hammoud, Amr, Khouli, Amro, Crowe, Amy, Surkitt, Amy Louise, Alshiteewi, Amyirah, Alvarez Cuiñas, Ana, Cabral, Ana, Dupont, Ana, Faustino, Ana, Carreira-Marques, Ana Lúcia, Preto Barreira, Ana Lúcia, Minaya Bravo, Ana Maria, Pinheiro Pereira, Ana Marta, Minaya-Bravo, Ana, Lourenço, Ana Rita, Mateus Loureiro, Ana Rita, Sánchez Gollarte, Ana, Tvaladze, Ana, Veira, Ana, Perja, Ana-Maria, Dusabimana, Anaclet, Herewini, Anahera, Fatima, Anam, Zafar, Anam, Bangar, Anant, Kutma, Ananta, Mehta, Ananya, Alqerem, Anas, Jaber, Anas, Mourtzouni, Anastasia, Theochari, Anastasia, Zarafidou, Anastasia, Smyrnis, Anastasios, Tsechpenakis, Anastasios, Zakaria, Andee Dzulkarnaen, Cardoso Almeida, Andre, Pita, André, Torbey, André, Abreu, Andrea, Barberis, Andrea, Bartalini Cinughi De Pazzi, Andrea, Belli, Andrea, Sironi, Andrea Carlo, Damigella, Andrea, Manetti, Andrea, Mingoli, Andrea, Natili, Andrea, Police, Andrea, Razzore, Andrea, Scacchi, Andrea, Vazquez Fernandez, Andrea, Luzzi, Andrea-Pierre, Brosin, Andreas, Efstathiou, Andreas, Kirschniak, Andreas, Panagakis, Andreas, Pilavas, Andreas, Scheiwiller, Andreas, Skarpas, Andreas, Chitul, Andrei, Trif, Andrei, Ferreira, Andreia, Silva, Andreia, Subocius, Andrejus, Cembellin, Andres, García Marín, Andrés, Ang, Andrew, Gray, Andrew, Li, Andrew, Skreka, Androniki-Maria, Abdul Rahim, Andy Adib, Bhangu, Aneel, Moncy, Aneena, Mwanjoka, Anganile, Fernández Camuñas, Ángel, De Jesús Gil, Ángela, Molero, Ángela, Sultana, Angela, Suárez Álvarez, Angeles Anabel, Nava Franco, Angelica Magaly, Autiak Ayii Chol, Angelo, Serao, Angelo, Nikolaou, Angelos I., Hassanin, Angham, Evans, Angharad, Vu, Anh, Lala, Anil Kumar, Luther, Anil, Sundaram, Anil, Cerovac, Anis, Abgeko, Anita Eseenam, Agbeko, Anita Eseenam, Sharma, Anju, Gupta, Ankit, Jain, Ankit, Attili, Ann, Alecci, Anna, D'Amore, Anna, Domenech Plana, Anna, Gut, Anna Eleonora, John, Anna, Lareida, Anna, Pesce, Anna Lisa, Paspala, Anna, Sharp, Anna, Victor, Anna, Comandatore, Annalisa, Olsen, Annelisse, Yiallourou, Anneza, Loizou, Annita, Sharma, Anshuman, Asare Twumasi, Anthony, Davor, Anthony, Tabiim, Anthony Jagri, Lin, Anthony, Szpytko, Anthony, Walfor, Anthony, Oosterkamp, Antje, Kachi, Antoine, Khoneisser, Antoine, Bediako Bowan, Antoinette, Sumbaev, Anton, Deserra, Antonello, Punzengruber, Antonia, Thanasa, Antonia, Azzinnaro, Antonio, Castaldi, Antonio, Curado Soriano, Antonio, García Domínguez, Antonio, Lai, Antonio, Martinez German, Antonio, Masciandaro, Antonio, Miele, Antonio, Pesce, Antonio, Ramírez Beas, Antonio, Ramos Bonilla, Antonio, Ramos-De la Medina, Antonio, Zerbinati, Antonio, Athanasiou, Antonios, Panagidis, Antonios, Vezakis, Antonios, Pilavas, Antonis, Boynes, Antony, Mishra, Anurag, Singh, Anurag, Appukuttan, Anuraj, Alhamadi, Anwaar, Gusibat, Anwar, Seidu, Anwar Sadat, Fuertes Muñoz, Anyely Nataly, Abbas, Aoss, Shanker, Aparajeya, Balta, Apostolia, Panagopoulos, Apostolis, Roslani, April, Tahir, Aqsa, Hernández, Araceli, Roumieh, Aram, Pinto, Arbey, Khanduri, Archana, Isik, Arda, Dhinakar, Arelly Samuel Paul, Ioannidis, Argyrios, Tsiaka, Ariadni, Balconi, Arianna, Petrungaro, Arianna, Narin, Arif Emir, Plastiras, Aris, Papadopoulos, Aristeidis, Kontokostopoulos, Aristeidis-Panagiotis, Bang, Aristide, Nikitaras, Aristotelis, Akiba, Arit, Jindal, Arjun, Bedzhanyan, Arkady, Fajardo, Arlene, Antinori, Armando, Galvan, Armando, Belarmino, Armin, Mustafa, Arooba, Mathew, Arpit, Pillai, Arpit, Alrababah, Arqam, Shoker, Arran, Hai, Arrham, Anand, Arun, Bhatti, Arun, Nair, Arun, Prasath S V, Arun, Krishna, Arunachalam, Sinha, Arvind, Abdulnabi, Arwa, Aboumedian, Arwa, Faisal, Arwa, Haidar, Arwa, J, Arya, Ahmed, Asaad, Choudhry, Asad, Albager, Asawer, Jha, Ashesh Kumar, Chhabra, Ashish, Choudhrie, Ashish, Gupta, Ashish, Kumar, Ashish, Tirkey, Ashish, Oommen, Ashok Ninan, Al-Bahla, Ashraf, Bakri, Ashraf, Maghrabi, Ashraf, Mahendran, Ashuvini, Kumar, Ashwani, Das, Asish, Eisa, Assem, Comella, Assia, Shanmugalingam, Aswin, Boztaş Demir, Asya Eylem, Zubillaga-Mares, Asya, Altawaiha, Ata'O Allah, Mitsala, Athanasia, Katsiou, Athanasia-Faidra, Bakalis, Athanasios, Marinis, Athanasios, Migdanis, Athanasios, Soumpasis, Athanasios, Syllaios, Athanasios, Tampakis, Athanasios, Çakmak, Atil, Rahman, Atiqur, Suroy, Atul, L'Hostis, Audrey, Parseliunas, Audrius, Ali, Aun, Rakotondrainibe, Aurelia, Goliath, Austin, Arustamyan, Avetik, Sukhdev Jadhav, Avinash, Chaudhary, Awais, Kumar, Awanish, Denz, Axel, Al Kaddah, Aya, Alaqtash, Aya, Ehab, Aya, Essamei, Aya, Kelzia, Aya, Farrag, Ayatallah, Myintmo, Aye Myat, Bibi, Ayesha, Iqbal, Ayesha, Irshad, Ayeza, Sinjab, Ayham, Izgiş, Aylin, Almugaddami, Ayman Adel Yousuf, Albatanony, Ayman, Ayeni, Ayodeji, Williams, Ayooluwa, AbuNemer, Ayoub, Benmansour, Ayoub, Nidali, Ayoub, Vig, Ayushi, Emran, Ayyah, Abbas, Azadar, Ekpeti, Azuka, Janjua, Azwa, Fathi, Azza, Alzahrani, Azzah, Rehmani, Babar, Ayoade, Babatunde A, Mustapha, Babatunde, L, Badareesh, Alsharari, Bader, Balaravi Pillai, Balakavitha, Balagobi, Balasingam, Mohamad, Balqees, Ibrahim, Bana, Ali, Bandar, Alqahtani, Bandar, Paul, Banderembako, Yigit, Banu, Révérien, Banziriyubusa, Dweik, Bara', Yacoub, Bara', Alzoubi, Baraa, Chkir, Baraa, M.J. Alhaj, Baraa, Binda, Barbara, Carvalho, Bárbara, Demurtas, Barbara, Dieck, Bárbara, Freire, Bárbara, Gama, Bárbara, Habrat, Barbara, Tinoco, Bárbara, Hernandez Cervantes, Barbara Yordanis, East, Barbora, Maguire, Barry, Mckay, Bartholomew, Żaczek, Bartłomiej, Dawud, Bashar, Allbakosh, Bashir, Yunusa, Bashir, Aminu, Bashiru, Ibi, Bashkim, D'Souza, Basil, Alazabi, Basma, Algettawi, Basma, Sharaf Eldin, Basma, Hameed, Basmah Hilal, Abboud, Bassam, Al Soudi, Bassam, Fahmy, Bassam, Ranjous, Batoul, Bereket Araya, Batseba, Eyduran, Batuhan, Alsaid, Bayan, Guerra, Bayron, Markowska, Beata, De Zolt Ponte, Beatrice, Robertson-Jones, Beatrice, Sperotto, Beatrice, Cordeiro, Beatriz, Cuneo, Beatriz, De Andrés-Asenjo, Beatriz, Louro, Beatriz, Estraviz, Begoña, Khan, Belawl, Abdennour, Belkadi, Calcaño, Bellanirys, Kigwe, Ben, Boakye, Benedict, Ağca, Bengi, Togay, Bengü, Esposito, Beniamino, Chiman, Benjamin Guarken, Lulham-Robinson, Benjamin, Martin, Benjamin, Peter, Bennett, Özcan, Berkay, Seshie, Bernard Kofi, Maanikuu, Bernard, Lopes Patrício, Bernardo, Khattab, Besher, Johnson, Bethan, Mcdermott, Bethany, Neall, Bethany, Wang, Betty, Roopavathana. S, Beulah, Fosh, Beverley, Sarang, Bhakti, Sv, Bharath, R Budihal, Bhargavi, Devkaran, Bhavesh, Van Zyl, Bianca, Kharga, Bikram, Al-Sarireh, Bilal, Ali, Bilal, Duman, Bilgesu, Baca, Bilgi, Down, Billy, Mengesha, Birhanu, Owusu Ansah, Bismark, Radja, Bitour, Sime, Bizuneh, Capdevila Vilaró, Blanca, Izedomi, Blessing Ohikhuare, Hao, Bo Zhen, Nimako, Boateng, Phakathi, Boitumelo, Sehgal, Boney, Cakpo, Boniface, Alrayes, Bourhan, Mao, Boyuan, Bogdan-Gabriel, Bratu, Bengaly, Bréhima, Williams, Brielle, Cismasiu, Brigitta, Helou, Brigitte, Davies, Brooke, Arya, Brundha, Cirillo, Bruno, Nardo, Bruno, Pinto, Bruno, Scotto, Bruno, Vieira, Bruno, Kadir, Bryar, Albaihani, Bshaer, Calik, Bulent, Citgez, Bulent, Celik, Burak, Azhar, Burhansyah, Alshaikh, Bushra, Kum, Büşra, Killoran, Callie, Nwachukwu, Callistus, Hidalgo Salinas, Camila, Brasset, Camille, Bertoglio, Camillo Leonardo, Vasquez Maya, Camilo, Zapata Syro, Camilo, Akgün, Can, Yurttas, Can, Semeraro, Candy, Lategan, Carina, Boven, Carine, Uwakunda, Carine, Leal Ferrandis, Carla, Margiani, Carla, Piras, Carla, Samojeden, Carla, Vitiello, Carla, Feo, Carlo V., Bôto, Carlos, Roman Ortega, Carlos Fernando, Ferreras García, Carlos, Figueiredo, Carlos, García-Salas, Carlos, González, Carlos, González Baez, Carlos, Gracia-Roche, Carlos, Guijarro Moreno, Carlos, Hernandez Diaz, Carlos, Ferrero, Carlos Ignacio, Perez Rivera, Carlos J, Jezieniecki, Carlos, Pérez - Padrón, Carlos Josué, León-Espinoza, Carlos, Nuño-Guzmán, Carlos M., Macedo Cardoso De Oliveira, Carlos, Shiraishi Zapata, Carlos, Yanowsky-Gonzalez, Carlos, Sorrentino, Carmen, Tung, Carmen, Cardoso, Carolina, Chavarría Noya, Carolina, Coutinho, Carolina, Korzin, Carolina, Maya, Carolina, Moreno-Licea, Carolina, Panis, Carolina, Righetti, Carolina, Silva, Carolina, Soares-Aquino, Carolina, Golliez, Caroline, Chiam, Carolyn, Kamphues, Carsten, Rahantasoa Finaritra, Casimir Fp, Assis, Catarina, Henriques, Catarina, Quintela, Catarina, Rio Ferreira, Catarina, Rolo Santos, Catarina, Rodrigues, Catarina S., Allmer, Caterina, Bradshaw, Catherine Jane, Rukundo, Cédric, Seneza, Celestin, Raphael, Celine, Guldogan, Cem Emir, Bilir, Cemal, Hacıalioğlu, Cemal, Ersavas, Cenk, Özkan, Cenk, Huaroto Landeo, Cesar Fernando, Ginesta, Cesar, Infante, César, Pastás, César, Ciubotaru, Cezar, Narayan, Chanchal, Mahakalkar, Chandrashekhar, Floros, Charalampos, Demiri, Charikleia, Chatzinikolaou, Charito, Dempers, Charl, Ansah Larbi, Charles, Banka, Charles, Cini, Charles, Dally, Charles, Doku, Charles, Ntow-Boahen, Charles Kwaku, Nicholson Jr., Charles, Cornwell, Charlotte, Stennard, Charlotte, Lionel, Charre, Azmat, Chaudhary Ehtsham, Nyampinga, Chelsea, Tandup, Cherring, Agarwal, Chetan, Parmar, Chetan, Pun, Chetna, Un, Chi Wen, Baars, Chiara Anne, Celano, Chiara, Fumagalli, Chiara, Marafante, Chiara, Zandonella, Chiara, Nwanmah, Chibueze, Osuigwe, Chidimma, Nwokoro, Chigbundu, Nwosu, Chikaodili, Nwosu, Chimdiebele Daisy, Lim, Chin Kent, Ónyeka, Chinonso, Uche, Chisom, Jamieson-Grigg, Chloe, Ong, Chon Sum, Alphonse, Chris, Bode, Chris, Varghese, Chris, Carrillo Sarango, Christian, Esteo Verdu, Christian, Krautz, Christian, Mosca, Christian, Nimbona, Christian, Nikolaou, Christina, Wiesner, Christina, Kloppers, Christo, Kourouniotis, Christoforos, Seiler, Christoph, Knee, Christopha, Mpirimbanyi, Christophe, Aboah, Christopher, Amah, Christopher, Cheong, Christopher, Harmston, Christopher, Leung, Christopher, Seet, Christopher, Smart, Christopher, Chouliaras, Christos, Damaskos, Christos, Doudakmanis, Christos, Kaselas, Christos, Limas, Christos, Ntagkas, Christos, Papazacharias, Christos, Stefanou, Christos, Thrasyvoulou, Christos, Tsalikidis, Christos, Karagianni, Chrysanthi, Kolla, Chrysoula-Christina, Ugwunne, Chuka, Ilo, Chukwudi, Nwegbu, Chukwuemeka, Onwuzu, Chukwuka, Weadick, Ciara, De Martino, Ciro, Donohoe, Claire, Gutierrez De La Rosa, Clara Elena, Florián Villa, Clara Marcela, Petcu, Clara Teodora, Cecconi, Claudia, Banal, Claudine, Brandi, Claudio, Hossu, Claudiu, Onuoha, Clement, Osime, Clement, Shelton, Clifford, Fuentes Orozco, Clotilde, Adumah, Collins, Dina, Constantin, Nastos, Constantinos, Aguero, Coral, Markin, Coretta, Hoogerboord, Cornelis, Da Lio, Corrado, Saviello, Cosimo, Bezede, Cosmin, Distefano, Costanza, Elliot-Wilson, Courtney, Bokossa, Covalic, Lupercio Figueroa, Cristian Israel, Riboni, Cristiana, Meola, Cristiano, Costa, Cristina, Gas, Cristina, Larotonda, Cristina, Soddu, Cristina, Vacca, Cristina, Vera Mansilla, Cristina, Li, Crystal, Agbonrofo, Cynthia, Akli-Nartey, Cynthia, Molewa, Cynthia, Nelly Rosine, Cyuzuzo Ngwije, Rega, D., Koike, Daisuke, Wickramasinghe, Dakshitha, Clarke, Damian, Fry, Damian, Hannedige, Damsadie, Powell, Dan-Beck, Kasasbeh, Dana, Samardali, Dana, Sharl Ajami, Dani, Badran, Dania, Adjei, Daniel, Muhie, Daniel Ahmed, Pérez Muñoz, Daniel Alejandro, Alifoe, Daniel, Aparicio-López, Daniel, Baños Méndez, Daniel, Cristian, Daniel, Eaton, Daniel, Gero, Daniel, Makary, Daniel, Montwedi, Daniel, Muñoz, Daniel, Patterson, Daniel, Reim, Daniel, Agbley, Daniel Yao Dodzie, Patiño García, Daniela Cristina, Di Pietrantonio, Daniela, Pais, Daniela, Rosado, Daniela, Tavares, Daniela, Alberti, Daniele, Fusario, Daniele, Massaro, Daniele, Paglione, Daniele, Pironi, Daniele, Kurochka, Daniil, Centonze, Danilo Corrado, Hackner, Danilo, Herrera, Danilo, Amangaliyev, Daniyar, Silva-Cano, Danny Wladimir, Chaudhry, Daoud, Palmisano, Dario, Ribero, Dario, Vukosav, Dario, Misca, Darius, Lowen, Darren, Rattray, Darren, Walia, Darshanjit Singh, Maan, Darvesh, Muyenzi, Daryle, Verdi, Daunia, Bardsley, David, Reyes Rodríguez, David Estuardo, Fra Corral, David, Garcia López De Goicoechea, David, Gavit, David, Gómez, David, Idowu, David, Konkin, David, Labadah, David Kplorla Kekeli, Liu, David, Merlini, David, Mitchell, David, Moro-Valdezate, David, Osifo, David, Proud, David, Ridder, David, Gobatti, Davide, Muschitiello, Davide, Pertile, Davide, Zulian, Davide, Mengiste, Dawit, Mikami, Dean, Mohanty, Debajyoti, Chatterjee, Debarghya, Komolafe, Deborah Olaitan, Scotto Di Carlo, Deborah, Wright, Deborah, Rahme, Deema, Talreja, Deep Parkash, Jain, Deepak, Rajput, Deepak, Singh, Deepak, Anbu, Deepika, Ibrahim, Dena, Phom, Denchu, Hili, Denise, Osei, Dennis Broni, Daary, Dennis, Kyeremeh, Dennis, Shen, Dennis, Uymaz, Derya Salim, Cianflocca, Desiree, Ashitey, Desmond, Evripidou, Despo, Papageorgouli, Despoina, Kaushal, Devesh, Abeysirigunawardana, Dewmi, Dugar, Dharmendra, Mallik, Dhiraj, Ghosh, Dhruva, Houmran, Diaa, Abdulrahman, Diala, Pantoja Pachajoa, Diana Alejandra, Cardona Gomez, Diana Catalina, Fenner, Diana, Gonzalez, Diana Samantha, Siriwardena, Diana, Garcés Palacios, Diana Sofía, Stoian, Diana, Zuikyte, Diana, Sosa Méndez, Dianne Alitzá, Wickramarathna, Dickson, Mutter, Didier, Palma Portillo, Diego Andrés, Chavez Fernandez, Diego, Córdova García, Diego, Enjuto, Diego, Giulitti, Diego, Sasia, Diego, Visconti, Diego, Yiğit, Dilara, George, Dilip, Rabaia, Dima, Georgiev, Dimitar, Hadzhiev, Dimitar, Alexandrou, Dimitrios, Balalis, Dimitrios, Giakoustidis, Dimitrios, Manatakis, Dimitrios K., Korkolis, Dimitrios, Lytras, Dimitrios, Massaras, Dimitrios, Moris, Dimitrios, Politis, Dimitrios, Sampanis, Dimitrios, Schizas, Dimitrios, Tsiardas, Dimitrios, Vardakostas, Dimitrios, Kotsaris, Dimitris, Khattab, Dina Hesham, M. Awad, Dina, Alrokh, Dina Sami, Schippers, Dina, Waleed, Dina, Salinovic, Dinko, Gonçalves Múrias Gomes, Diogo Miguel, Silva, Diogo, Vaz Acosta, Diogo, Morton, Dion, Panagopoulos, Dionisios, Kelgiorgi, Dionysia, Dellaportas, Dionysios, Prevezanos, Dionysios, Joshi, Dipti, Ozal, Direm, Yigit, Direnc, Chimkaomasiri, Divine, Jabbar, Diya, Nepogodiev, Dmitri, Belekar, Dnyanesh, Abdalaziz, Doaa, Abunemer, Doaa, Attia, Doaa, Elkafrawy, Doaa, Dimitrov, Dobromir, Pignatelli, Domenica, Merlicco, Domenico, Soriero, Domenico, Zerbo, Domenico, Atouguia, Domingas, Fairbrass, Dominic, T. Enti, Donald, Venskutonis, Donatas, Rukavina, Dora, Caruso, Dorena, Herappe, Dorihela, Lee, Dorinda Norbetha, Ofosuhene, Doris, Hajela, Apoorva, Badwan, Basem, Kulkarni, Datta, Dhawan, Deep, Dhillon, Jeevanjit, Mehmood, Manzer, Mahmood, Namrah, Nikam, Narendra, Ramchandani, Radhakrishna, Thind, Ravinder Singh, Riazhussain, D Hafiz, Maqsood, Saliha, Alalawi, Yousef, Tyagi, Harshdeep, Kshirsagar, Shivani, Ahmed, Hisham, Juan Carlos, Luna Cydejko, Kone, Dramane, Omar, Duaa, Alves, Duarte Gil, Subasinghe, Duminda, Ommi, Durgesh, Joshiba, Durshney, Chakarov, Dzhevdet, Arkoh, Ebenezer Ameyaw, Frimpong-Manso, Ebenezer, Ada, Ece, Lincango, Eddy P., Lozada Hernandez, Edgard Efren, Hodžić, Edin, Di Marco, Edith, Baccalini, Edoardo Andrea, Baldini, Edoardo, González Marín, Eduardo, Gutierrez, Eduardo, Sepúlveda, Eduardo, Dainius, Edvinas, Zhang, Edward, Yenli, Edwin Mwintiereh Ta-Ang, Antoniou, Efstathios, Kapasakis, Efstathios, Baili, Efstratia, Poulios, Efthymios, Kubiliute, Egle, Osaze, Ehioghae, Afeikhena, Ehis, Elshennawy, Eiad, Athanasopoulou, Eirini, Synekidou, Eirini, Ekaladze, Eka, Tampaki, Ekaterini Christina, Adam, Elaf, Adel Hamdoun Aziz, Elaf, Yousuf, Elamin, Gialamas, Eleftherios, Spartalis, Eleftherios, Bedzhanyan, Elen, Toma, Elena Adelina, Daukšaitė, Elena, Desiato, Elena, Dvivedi, Elena, Hadzhieva, Elena, Martí Cuñat, Elena, Montalbán Martínez, Elena, Montanari, Elena, Signaroli, Elenasofia, Efremidou, Eleni, Gavriil, Eleni, Karakeke, Eleni, Mavrodimitraki, Eleni, Papamattheou, Eleni, Jose, Elenza, Cianci, Eleonora, Ciccioli, Eleonora, Daleva, Eleonora, Locci, Eleonora, Lori, Eleonora, Silanos, Eleonora, Ayala, Elí, Bankart, Eliana, Brolese, Eliane, Efstathiou, Elias, Salloum, Elias, Colak, Elif, Terzi, Elif Didem, Ametefe, Elikem, Cagigal Ortega, Elima Pilar, Donnarumma, Elio, Mina, Elisa, Reitano, Elisa, Wallner, Elisabeth, Moggia, Elisabetta, Betz, Elise, Kontis, Elissaios, Anestiadou, Elissavet, Gimson, Eliza, Lun, Elizabeth, Fraser, Elizabeth, Li, Elizabeth, Torres De Anda, Elizabeth Magaly, Murphy, Elizabeth Mary Ann, O'Connell, Elizabeth, Redondo, Elizabeth, Lun, Elizabeth Weng Yan, Francis, Ella, Haiden, Elmar, Hamed, Elmonzir, Alkhalifa, Elmustafa, Dexter, Eloise, Daketsey, Elorm, Setsoafia, Elorm, Mohamed, Elsagad, Mohammed, Elsamoual, Hegab, Elsayed, Ay, Elvin, Adinolfi, Elvira, Mbanzabugabo, Elvis, Chin, Elynn, Ahmed, Emad Ali, Younes, Eman, Basile, Emanuela, Gessa, Emanuela, Pontecorvi, Emanuele, Romairone, Emanuele, Hatangimana, Eméry, Ndizeye, Emile, Ciofic, Emilia, Dijan, Emilio, López-Negrete Cueto, Emilio, Baker, Emily, Reid, Emily, Schmidt, Emily, Alić, Emir, Bičakčić, Emir, Agbowada, Emma, Colton, Emma, Downing, Emma, Haege, Emma, O'Neill, Emma, Roussos, Emmanouel, Nachelleh, Emmanuel Aadereyir, Adebunmi, Emmanuel, Obiesie, Emmanuel Ahuizechukwu, Akakpo, Emmanuel Bismark, Konlan, Emmanuel Dammigu Francis, Nwangwu, Emmanuel Ifeanyi, Kafui Ayodeji, Emmanuel, Ofori, Emmanuel Owusu, Spanoudakis, Emmanuel, Abate, Emmanuele, Balik, Emre, Bozdağ, Emre, Bozkurt, Emre, Karabulut, Emre Cagri, Ozoran, Emre, Tunçcan, Emre, Tuzuner, Emre, Halilović, Emsad, Alabed, Enaam, Zidan, Enas, Hodžić, Enes, Aybar, Engin, Yildirim, Engin Okan, Wong, Enoch, Yhoshu, Enono, Bisogno, Enrica, Andolfi, Enrico, Ferri, Enrico, Potenza, Enrico, Spalice, Enrico, Volpin, Enrico, González, Enrique, Downes, Eoin, Gallo, Erdachew, Kamer, Erdinc, Naidoo, Eressa, Erginöz, Ergin, Bara, Eric, Irungu, Eric, García-Villegas, Eric Yusif, Mazzotta, Erica, Monati, Erica, Chan, Erick, Gómez Mejía, Erika, Dylja, Eris, Somuncu, Erkan, Yavuz, Erkan, Begunić, Ernes, Margelis, Ernest, Osei, Ernest Owusu, Saitoglou, Ertzan, Agastra, Ervis, Mazumdar, Eshan, Soyer Güldoğan, Esra, Abu Siam, Esra'A, Abdelbaset, Esraa, Abdu, Esraa, Adel Mahmod Sultan, Esraa, Nubi Mohamed, Esraa Gamal, Abuobaida Banaga Hag El Tayeb, Essam Eldien, Ali, Essraa, Page-Taylor, Estelle, Marra, Ester, Garcia Santos, Esther Pilar, Elsheikh, Ethar, Unal, Ethem, Tan, Eugene, De Leo, Eugenio, Borges, Eva, Gáspár, Éva, Ruiz-Daum, Eva, Apostolopoulos, Evaggelos, Samara, Evangelia, Barkolias, Evangelos, Fradelos, Evangelos, Hopping, Eve, Romo Ascencio, Evelia Veronica, Sosa Ferreira, Ever David, Shestakov, Evgenii, Tyurina, Evgenya, Hristova, Evguenia, Efthymiou, Evripidis, Tokidis, Evripidis, Harrison, Ewen, Dontoh, Ewurama Akroma, Mansour, Eyad, Yeshialem, Eyosiyas, Dabbagh, Ezeddin, Amer, Ezzeldin, Manasci, Fabiana, Gomes, Fabio, Medas, Fabio, d'Acapito, Fabrizio, Vassallo, Fabrizio, Haddad, Fadi, Elhabishi, Fadwa, Akhtar, Fahad, Tauheed, Fahad, Al Abbood, Fahd, Gareb, Fahed, Ghazali, Fairuz, Alnazawi, Faisal, Ondago, Faith, Rasoaherinomenjanahary, Fanjandrainy, Wiese, Fanny, González Ponce, Fanny Yesenia, Georgiades, Fanourios, Ali, Farah, Galley, Fareeda, Huda, Farhanul, Amir, Farhat Naaz, Ashraf, Fariha, Alfarsi, Faris, Ayasra, Faris, Ali, Farman, Mahmoud, Faten, Aliskander, Fater, Tahir Lwdie, Fathea, Buyuker, Fatih, Aguilar Del Castillo, Fátima, Mohammed Daoud, Fatima Ahmed, Alowjaly, Fatima, Oni, Fatima, Rauf, Fatima, Elkhafeefi, Fatimah, Hourri, Fatine, Monib, Fatma A., Alshreef, Fatma, Benghalbon, Fatma, Ntirenganya, Faustin, Ashraf, Fauziyah, Chahrour, Fayez, Ahmad, Fazal, Parray, Fazlul Qadir, Philips, Febi, Campus, Federica, Di Marco, Federica, Ferraina, Federica, Frongia, Federica, Maffeis, Federica, Natali, Federica, Pederiva, Federica, Scolari, Federica, Tofani, Federica, Marin, Federico Alberto Niccolò, Biolchini, Federico, Cappellacci, Federico, Corronca, Federico, Mazzola, Federico, Suldrup, Federico, Nyarko, Felicia, Casas J, Felipe, Zapata, Felipe, Aigner, Felix, Alakaloko, Felix, Amoako, Felix, Camacho, Felix, Hammett, Felix, Kuubetersob B. N, Felix, Alahmad, Feras, Alnimri, Feras, Haddad, Feras, Gool, Ferhana, Castro, Fernanda, Diaz, Fernanda, Lucero, Fernanda, Vovola, Fernanda, Mahnic, Fernando, Mercado Sanchez, Fernando, Prieto La Noire, Fernando, Soggiu, Fiammetta, Tsige, Fikreab, Brzeszczyński, Filip, Rudisch, Filip, Valente Costa Pinto, Filipa, Ramalho De Almeida, Filipe, Banchini, Filippo, Palomino Escalante, Fiorella, Fadzlullah, Fitri, Terefe, Fitsum, Sulo, Fjorenta, Ciccarone, Flavia, Tirelli, Flavio, Krämer, Florian, Grama, Florin, Spanos, Foivos, Solimene, Folco, Akinwande, Foluso, Osman, Forzia, Stefou, Foteini, Kyramargios, Fotios, Stavratis, Fotios, Alassani, Fousseni, Ascari, Francesca, Cammelli, Francesca, D'Agostino, Francesca, Tropeano, Francesca Paola, Peters, Francesca, Ré, Francesca, Brucchi, Francesco, Casti, Francesco, Coratti, Francesco, Ferrara, Francesco, Floris, Francesco, Izzo, Francesco, Maffei, Francesco, Palmieri, Francesco, Pata, Francesco, Porcelli, Francesco, Selvaggi, Francesco, Velluti, Francesco, Mulita, Francesk, Bello, Francis, Caiquo, Francis, Dossou, Francis, Eshun, Francis Junior, Opoku Twene, Francis, Tierenye, Francis, Quayson, Francis William, Romo Rosales, Francisco David, Ibañez Ortiz, Francisco, León Frutos, Francisco Javier, Redondo Calvo, Francisco Javier, Silva Rivera, Francisco Javier, Barbosa Camacho, Francisco José, Bujalance Cabrera, Francisco Manuel, Ruescas, Francisco, Irakiza, Franck Fanon, Corvatta, Franco, Pascual, Franco Raúl, Roviello, Franco, Roodt, Francois, Gyamfi, Frank Enoch, Olaniru, Frank, Owusu, Frank, Bader, Franz G., Anzinger, Franz-Xaver, Agbodo, Fred David Anku, Ris, Frederic, Agbemafoh, Frederick Mawuli, Afonso, Frederico, Nazareth, Frederico, Berrevoet, Frederik, Hounde, Fréjus, Demiral, Furkan, Hassooni, Furqan Ridha Hassooni, Kafa, Gabi, Cárdenas Rivera, Gabriel, Ntwari, Gabriel, Szydlo Shein, Gabriel, Ambriz González, Gabriela, Nita, Gabriela Elisa, Bellio, Gabriele, Moitzi, Gabriele, Urdang, Gabriella, Marom, Gad, Gallo, Gaetano, Luglio, Gaetano, Poillucci, Gaetano, Singh, Gagandeep, Saletta, Gaia, Abouelnagah, Galal, Yarovenko, Galina, Kazobinka, Gallina, Ahmed, Gamal Mutwakil Gamal, Rahman, Ganiyu Adebisi, Smith, Garett, Pillai, Gargi, Saxena, Garima, Gbessi, Gaspard, Nkunguzi, Gaston, Jalal, Gaurav, Chillarge, Gauri, Singh, Gautam, Mevognon, Gedeon, Getachew, Gedion, George, Gejoe, De La Peña González, Gema, Martínez Izquierdo, Gema, Grande, Gennaro, Birikorang, Geoffrey, Weber, Georg F., Singer, Georg, Ansong, George, Bashour, George, Brown, George Darko, Hneino, George, Kavalieratos, George, Kenchadze, George, Nagy, George, Pappas Gogos, George, Skroubis, George, Waiyaki, George, Cox, Georgia, Zeringa, Georgia, De Wee, Georgin, Hart, Georgina, Bekakos, Georgios, Fragulidis, Georgios, Kapogiannatos, Georgios, Karakaidos, Georgios, Kokkinos, Georgios, Kostoulas, Georgios, Koukoulis, Georgios, Peros, Georgios, Rados, Georgios, Tsoulfas, Georgios, Verras, Georgios-Ioannis, Berger, Geraint, Adoro, Gerard Ayuka, Chamoso Mialdea, Gerardo, Palmieri, Gerardo, Procaccini, Gerardo, Steenkamp, Gerhard, Viscido, Germán Rodrigo, Dajti, Gerti, Alemayehu, Getachew, Seyfu, Gezachew, Birqeeq, Ghada, Alsheikh, Ghadeer, Alrayyes, Ghaith, El Hunjul, Ghalib Nashaat, Zaza, Ghayath, Matroud, Ghazlah, Alhadwah, Ghena, Maltinti, Gherardo, Awais, Ghina, Shamsi, Ghina, Calini, Giacomo, Carganico, Giacomo, Zanus, Giacomo, Canu, Gian Luigi, Mendiola, Gian, Ibero Casadiego, Giana Pamela, Cocorullo, Gianfranco, Baronio, Gianluca, Pellino, Gianluca, Zanni, Gianluca, Poto, Gianmario Edoardo, Gravante, Gianpiero, Aduroja, Gideon, Almogy, Gidon, Bond-Smith, Giles, Natchagande, Gilles, Bechara, Gio, Brachini, Gioia, Riccioli, Giordana, Ercolani, Giorgio, Farris, Giorgio, Giraudo, Giorgio, Mammolo, Giovanna, Pavone, Giovanna, Sgarzini, Giovanna, Aprea, Giovanni, Fonsi, Giovanni Battista, Boroni, Giovanni, De Angeli, Giovanni, De Palma, Giovanni Domenico, Emiliani, Giovanni, Grava, Giovanni, Guercio, Giovanni, De Carlo, Giulia, Del Corpo, Giulia, Duranti, Giulia, Galatioto, Giulia, Grassi, Giulia, Graziano, Giulia, Marini, Giulia Maria Francesca, Munzi, Giulia, Tarantino, Giulia, Borda-Luque, Giuliano, Pellicano', Giuseppe Antonino, Canonico, Giuseppe, Carollo, Giuseppe, Ietto, Giuseppe, Palomba, Giuseppe, Pascarella, Giuseppe, Salamone, Giuseppe, Sica, Giuseppe, Sorrentino, Giuseppe, Orlando, Giuseppina, Pignata, Giusto, Pisarevi, Givi, Akcakoca, Gizem, Owusu, Godfred, Yohanna Abrak, Godwin, Kurtoglu, Gokalp Kagan, Kurtoglugk, Gokalp Kagan, Alıcı, Gökhan, Kurtoglu, Goktug Mert, Delgado Hernandez, Gonzalo, Augustin, Goran, Bhat, Gowhar Aziz, Sundaram Venkatesan, Gowtham, Chang, Grace, Eke, Grace, Lee, Grace, Massarra, Grace, Travaglini, Grazia, Scialandrone, Grazisa, Stavrou, Gregor A., Di Franco, Gregorio, Charalambous, Gregory, Christodoulidis, Gregory, Kouraklis, Gregory, Goodwin, Gregory Richard, Devidze, Grigol, Fialho, Guilherme, Santos, Guilherme, Cabezudo, Guillermo, García-Santos, Guillermo, Pou, Guillermo, Romero Reyna, Guillermo, Yanowsky-Reyes, Guillermo, Ozyuksel, Gul, Karadeniz Cakmak, Guldeniz, Kucuk, Gultekin Ozan, Bulbuloglu, Guney Cem, Sarp, Guray, Kaur, Gurleen, Nibogora, Guy Darcy, Hamdan, Gymar, Ogundipe, Habeeb, Yunes, Habib, Ayesh, Hadeel, Al Atassi, Hadi, Jalilehvand, Hadis, Masalma, Hafez, Jafarkhan, Hafis, Shahid, Hafiz Huzaifa, Younus, Hafsa, Al-Derume, Hail, Shames, Haitam, Mimouni, Haithem Ahmed, Aldare, Hajar, Odah Bashi, Hajar Omar, Abusnina, Hajer, Altounsi, Hajir, Qayum, Hajra, Baysal, Hakan, Bolukbasi, Hakan, Yigitbas, Hakan, Alkhatib, Hala, Afzal, Haleema, Mftah, Halima, Oyinlola, Halimah, Tümer, Haluk, Dolo, Hamadoun, Braham, Hamdi, Ozsahin, Hamdi, Abu-Arish, Hamdoon, Al-Aamri, Hamed, Fadlalmola, Hammad Ali, Abu Obead, Hamza, Al-Fahel, Hamza, Al-Zoubi, Hamza, Asaad, Hamza, Ejaz, Hamza, Jaber, Hamza, Bhatti, Hamza Waqar, Mohammadi Sardoo, Hamzeh, Farhat, Hana, Idheiraj, Hanadi, Zwaraa, Hanady, Al Sohabi, Hanan, Basharat, Hanan, Said, Hanan, Al-Abdallat, Haneen, Foad, Haneen, Daaboul, Hanen, Al Qadhi, Hani, Elhallaq, Hani, Alhusaini, Hanin, Lidbetter, Hannah, Reilly, Hannah, Moya- Ambriz, Hannia Betzabeth, Lederhuber, Hans, Fehrer, Hans-Jörg, Xiao, Haotian, Iswariah, Harish, Kaur, Harmeena, Cheema, Harnoor Kaur, Foda, Haroun, Chauhan, Harpreet, Kaur, Harpreet, Sagar, Harry, Unwin, Harry, Kaur, Harsharan, Panga, Harshavardhan, Gupta, Harshit, Prabhakar, Harshit Kumar, Anand, Harshitha, Pahwa, Harvinder Singh, Abbadi, Hasan, Amoudi, Hasan, Zaini, Hasan Hadi Zaini, Škiljo, Hasan, Miyasika, Hasangi, Altabbaa, Hashem, Haj Freej, Hasn, Abdelazim, Hassan, Habiba, Hassan, Kamal, Hassan, Sabir, Hassan, Zaigham, Hassan, Pehlivan, Hatice, Telci, Hatice, Abuobaida, Hayat, Tetley, Heather, Taher, Heba, Aguado López, Héctor, Askarpour, Hedyeh, Sherif Farouk Ahmed Hassan, Heidi, Devesa, Helena, Arbogast, Helmut, Nuñez Del Barrio, Henar, Abiyere, Henry, Delacave, Henry, Rice, Henry E., Pleass, Henry, Bradly, Hera, Islam, Heraa, Lule, Herman, Abozied, Hesham, Le Roux, Hettie, Hamdar, Hiba, Yaghmour, Hiba, Bileid Bakeer, Hibah, Al Miskry, Hilal, Ulman, Hilmican, Abdoun, Hind, Essalim, Hind, Yonekura, Hiroshi, Kato, Hiroyuki, Amin-Tai, Hizami, Kynaston, Holly, Pérez Baca, Honorio De Jesús, Irfan Khan, Hoor, Amir, Hosam, Elghadban, Hosam, Elfeki, Hossam, Wain, Howard, Adjei, Hubert, Dąbrowski, Hubert, Novák, Hubert, Alzuhd, Huda, Capote, Hugo, Gomez-Fernandez, Hugo, Stark, Hugo, Willy-Chidire, Hulda, Aouagbe Behanzin, Hulrich, Oneizah, Humam M.A., Dalati, Husam, Ebied, Husam, Mahajna, Husam, Ahmad, Husnain, Altawati, Husni, Adi, Hussam, Albalawi, Hussam, Alfakeer, Hussein, Embarek, Hussein, Ibrahim, Hussein, Malkawi, Hussein, Ekwuazi, Hyginus, Psilopatis, Iason, Wasiu, Ibitowa, Kereet, Ibraheem M., Suleiman, Ibrahem, Fortune, Ibrahim, Aburumman, Ibrahim, Adel, Ibrahim, Adham, Ibrahim, Ali, Ibrahim, Arnaout, Ibrahim, Çakır, Ibrahim, Suleiman, Ibrahim Eneye, Fagiri, Ibrahim, Hajmohammed, Ibrahim, Özata, ıbrahim Halil, Kandil, Ibrahim, Ahmed, Ibrahim Mutwakil Gamal, Tagreda, Ibrahim, Garzali, Ibrahim Umar, Nadi, Ibtihal, Ogundele, Ibukunolu, Pius Ogolekwu, Idoko, Shariff, Idriss, Jakaityte, Ieva, Abdullah, Ifra, Babajimi-Joseph, Igbagbolere, Guirguis, Ihab, Orji, Iheanyi, Okoro, Iheanyichukwu, Ahmed, Ihsan, Obianyo, Ijeoma, Njere, Ike, Ugwueke, Ikechukwu, Nzenwa, Ikemsinachi C, Zerrouq, Ikram, Clementi, Ilaria, Neri, Ilaria, Yavuz, Ilayda Esma, Hoxhaj, Ilda, Fakhradiyev, Ildar, R Fakhradiyev, Ildar, Gomatos, Ilias, Fidoshev, Iliya, Gouazar, Iltimass, Alnimer, Imad, Boudis, Imad Eddine, Boumakhlouf, Imad Eddine, Abdalla, Iman, Herrero, Imanol, Osman, Imoro, Nasser, Inas, Singh, Indra, P S, Induchoodan, Borges Da Costa, Inês, Colaço, Ines, Lourenço, Inês Mariana, Mogárrio, Inês, Königsrainer, Ingmar, Ahmed, Intezar, Hamdun, Intisar Hisham Said, Tanase, Ioan, Bokos, Ioannis, Contis, Ioannis, Demiris, Ioannis, Gerogiannis, Ioannis, Gogoulis, Ioannis, Karatsolis, Ioannis, Katsaros, Ioannis, Kozadinos, Ioannis, Margaris, Ioannis, Maroulis, Ioannis, Papaconstantinou, Ioannis, Siannis, Ioannis, Sougkas, Ioannis, Spyridakis, Ioannis, Tierris, Ioannis, Tsakiridis, Ioannis, Imihteev, Ion, Negoi, Ionut, Chatzis, Iosif, Shahbaz, Iqra, Didier, Irabishohoje, Pipia, Irakli, Parwaiz, Iram, Durán Sánchez, Iran Irani, Norman, Irena, Bakaweri, Irenaeus Nutumie, Santos, Irene, Mylona, Irene Chrysovalanto, De Haro Jorge, Irene, Cervera, Iria, Dajti, Irida, Datji, Irida, Matache, Irina Mihaela, Russo, Iris Shari, Aremu, Is'haq Ishola, Amankwaa, Isaac, Caitens, Isaac, Esparza Estrada, Isaac, Mubezi, Isaac, Gascon Ferrer, Isabel, Serrano, Isabel, Dong, Isabella, Mondi, Isabella, Serfontein, Isabella, Rakshit, Ishani, Kyei, Ishmael, Murshed, Ishraq, Cabrera, Ishtar, Abo Elhagag, Islam, Alsoubie, Ismael, Lawani, Ismail, Bilgin, Ismail Ahmet, Cholah, Ismail, Hamzaoglu, Ismail, Lawani, Ismaïl, Maharem, Israa, Shehadeh, Israa, Hagbevor, Israel, Bahikoro, Issa Wendpouiré, Laopeamthong, Issaree, Mikulic, Iva, Bacic, Ivan, Rakvin, Ivan, Separovic, Ivan, Vidić, Ivan, Conversano, Ivana, Mrazkova, Ivana, Yotsov, Ivelin, Ilieva, Ivelina, Ćoza, Ivo, Ali, Iyad, Aljada, Iyad, Hussein, Iyad, Tesfahun, Iyasu, Sadiq, Izzah, Martinez Martin Del Campo, J Francisco, Mackenzie, Jack, Maida, Jack Vittorio, Kaippally, Jacob, Montero García, Jacobo, Andreuccetti, Jacopo, Martellucci, Jacopo, Secchi, Jacopo, Van Niekerk, Jacques, Saunders, Jada, Duffield, Jaime A., Tavares-Ortega, Jaime Alberto, Orozco-Perez, Jaime, Mihanovic, Jakov, Woleský, Jakub, Bryan, James, Bundred, James, Cui, James, Glasbey, James, Casella Mariolo, James Rossario, Suliman, Jamil, Mohammad Mohammad, Jamiu, Bolanowski, Jan, Goedeke, Jan, Grosek, Jan, Moravik, Jan, Ringers, Jan, Roman, Jan, Chew, Janae, Maritz, Jancke, Martin, Janet, Velkoski, Jaqueline, Wong, Jason, García-Quijada, Javier, Tk, Jayakumar, Siby, Jayas, Mcnab-Hand, Jaymee, Gusa, JB, Gusa, Jean Bosco, Allen, Jean Claude, Mbonicura, Jean Claude, Rugambwa, Jean Paul, Jordaan, Jean- Jacques, Razafindrahita, Jeannie Ba, Do, Jee Eun, Senavirathna, Jeewantha, Kalyanapu, Jeffrey A, Chan, Jeffrey, Ofori, Jeffrey, Otote, Jeffrey, Akiely, Jehad, Cassiano Neves, Jelena, Gillingham, Jemima, Herrera Batres, Jenifer Olga María, Ezeh, Jennifer, Okei, Jennifer, Vu, Jennifer, Guevara, Jenny, Siu, Jenny, Rolinger, Jens, Skaff, Jeolle, Uys, Jernelle, Makama, Jerry Godfrey, Barklimore, Jessica, Dei-Asamoa, Jessica, Jahjah, Jessica, Jones, Jessica, Ng, Jessica, Ricardo, Jéssica, Schembri Higgans, Jessica, You, Jessica, Annan, Jessie, Aguilar, Jesus Antonio, Pizarro Lozano, Jesús, Lim, Jia Hui, Zhu, Jiang, Wang, Jianxue, Abbasy, Jibran, Ugwu, Jideofor, Rathod, Jignesh, Albalushi, Jihan, Najajra, Jinan, Fu, Jing Hui, Tefay, Joan Sia Tan, Domingues, Joana Cristina, Simoes, Joana FF, Figueiredo, Joana, Fontaínhas, Joana, Frazão, Joana, Marques Antunes, Joana, Simoes, Joana, Marx, Joanna Naemi, Dias-Ferreira, João, Fernandes, João, Mendes, João, Pinho, João, Ribeiro, João, Vaz, João, Dominguez, Joaquina, Abutu John, Job, Chen, Joe Jun Qiao, Enaholo, Joel, Alaji, Joelle, Miller, Johanna, Binder, Johannes, Daleku, John, Katogiritis, John, Khoury, John, Anyorigiya, John Noah, Reilly, John, Abebrese, John Tabiri, Ahale, Johnny Lordson, Tabora-Zepeda, Johnny, Barrutia Leonardo, Jon, Demma, Jonathan Abraham, Hong, Jonathan, Chejfec-Ciociano, Jonathan Matias, Oppong, Jonathan, Quansah, Jonathan, Sutcliffe, Jonathan, Taiwo, Jones, Nyamekye - Baidoo, Joojo, Prat-Ortells, Jordi, Dongmo, Jordy, Kleeff, Jorg, Jimenez Flores, Jorge Alberto, Pellecer Cano, Jorge Bernardo, Chóliz, Jorge, Giubi Bobeda, Jorge Eduardo, Escartin, Jorge, Febré, Jorge, Gass, Jörn-Markus, Calvache, Jose A, Guzman Barba, Jose Aldo, Gutiérrez Gómez, José Alonso, Calvache, Jose Andres, Acevedo Parrales, José Danilo, Orozco Navarro, José Esteban, Viñas, José Federico, Gomez, José, Goncalves-Nobre, Jose Guilherme, Valenzuela, José Ignacio, Garcia Galocha, Jose Luis, Rodicio Miravalles, Jose Luis, Faylona, Jose Macario, Alvarez Hernandez, Jose Manuel, De Francisco Rios, Jose Mario, Martin Fernandez, Jose, Michel, José, Carlos, José Miguel, Mondino, Jose, Vieira De Sousa, José Pedro, Asturias Luna, José Rodrigo, Hernández, Jose Rodrigo, García, José Sebastian, Galea, Joseph, Hwang, Joseph, Leong, Joseph, Yorke, Joseph, Psaila, Josephine, Walshaw, Josephine, Ampadu, Joshua, Linker, Joshua, Ng-Kamstra, Joshua, Olorunfunmi, Joshua, Mavrek, Josip, Miskovic, Josip, Petric, Josipa, Avakoudjo, Josue, Al Karmi, Joud, Fahed, Joud, Suleiman Hadidi, Joudd, Alkharish, Joul, Juloski, Jovan, Vaitekūnas, Jovydas, Wang, Joyce, Flores Prado, Juan Armando, Beltrán De Heredia, Juan, Garcia Vera, Juan Carlos, Molina Marin, Juan David, Gonzalez Aboytes, Juan Eduardo, Ulloa Robles, Juan Jose, Blas Laina, Juan Luis, Carranza Rosales, Juan Manuel, Morales, Juan, Naranjo Fernández, Juan Ramón, Al Daradkah, Jude, Aseme, Jude, Ede, Jude, Kahn, Judith, Lindert, Judith, Deeb, Judy, Mühlhäusser, Julia, Sidorovskaia, Julia, Carrizo, Julian, Napoli, Juliana, Pereira-Macedo, Juliana, Ribeiro, Juliana, De Deken, Julie, Nnoli, Juliet, Paredes, Julieta, Zevallos-Quiroz, Julio Cesar, Gonzalez Garcia, Julio, Adjei, Julius, Olaogun, Julius, Kutkevičius, Juozas, Metzger, Jürg, Košir, Jurij Aleš, Kosir, Jurij, Seyi-Olajide, Justina, Zajac, Justyna Karolina, Dhima, Jyoti, Dhiman, Jyoti, Shreyas, K, Türker, Kadir Yağız, Lee, Kai, Khutsishvili, Kakhi, Yu, Kam Keung Auston, Das, Kamala, Özdoğan, Kamil, Reddy, Kamireddy Madana Raghava, Kabulov, Kamran, Nahar, Kamrun, Rajaratnam, Kanapathippillai, Wijesinghe, Kanchana, Sevnaran, Kapil, Khalil, Karam, Singh, Karanbir, Fayed, Kareem, Booyse, Karien, Geiger-Timm, Karin, Maharaj, Karl, Bhutia, Karma, Richter, Karolina, Komorowska, Katarzyna, Urbańska, Katarzyna, Waddell, Kate, Kambouri, Katerina, Tata, Katerina, Richetti, Katharina, Griffin, Katherine, McKenzie, Katherine, Tambudze, Katherine, Hall, Katheryn, Chu, Kathryn, Theodoropoulou, Katina, Kröning, Katrin, Bozada-Gutiérrez, Katya, Raghuwanshi, Kaustubh, J B, Kavitha, Ahmed Ibrahim, Kefah, Bwala, Kefas John, Iles, Kelly, Jasso García, Kelvin, Oğur, Kemal, Fretwell, Kenneth, Oluchukwu, Kenneth, Onyekachi, Kenneth, Voon, Kenneth, Oderoha, Kevin Ewomazino, Nieto Yrigoin, Kevin, Quispe De La Roca, Kewin, Anaam, Khadega, Bensmain, Khadija, Shwail, Khadija, Akter, Khadiza, Sawaftah, Khaled Ahmad, Shamiyah, Khalid Adnan, Bhatti, Khalid, Mohammed, Khalid Miftah Ghuraybeel, Ayyoub, Khalil, Cholah, Khalil, Rahman, Khandakar Rezwanur, Abdulrahman, Khawla, Al-Shami, Khayry, Hayat, Khizar, Al Hinai, Khulood, Taghavi, Kiarash, Shodunke, Kikelomo, Abo Zaal, Kinaz, Ewool, Kingsley, Gaikwad, Kiran, Shemyatovsky, Kirill, Dey, Kirsty Elaine, Mishra, Kirti Kumar, Rathod, Kirtikumar J, Senanayake, Kithsiri Janakantha, Noguchi, Kiyonari, Kordeni, Kleoniki C., Dembele, Klétigui Samuel, Spassov, Kolyo, Khalid, Komal, Petrenko, Konstantin, Bekiaridou, Konstantina, Rekouna, Konstantina, Athanassiou, Konstantinos, Avgerinos, Konstantinos, Bouchagier, Konstantinos, Bouliaris, Konstantinos, Bramis, Konstantinos, Iliakopoulos, Konstantinos, Kontzoglou, Konstantinos, Ntatsis, Konstantinos, Pavlopoulos, Konstantinos, Perivoliotis, Konstantinos, Polychronopoulos, Konstantinos, Giannakopoulos, Konstantinos S., Zakkas, Konstantinos, Zapsalis, Konstantinos, Koumarelas, Konstantinos-Eleftherios, Mori, Krinal, Ooi, Krisada, Ascencio Diaz, Kriscia Vanessa, Jasaitis, Kristijonas, Nieuwenhuys, Kristin, Atherton, Kristy, Smith, Kristy, Sharma, Kruti, Jaffry, Kumail, Lehmann, Kuno, Ayad, Kusay, Luthra, Kush Kumar, Nanayakkara, Kushan, Agbedinu, Kwabena, Oduro-Boateng, Kwaku Boakye, Boakye-Acheampong, Kwame, Sim, Kwang Kiat, Yalley, Kwekuma, Collins, Kyeremeh, Muscat, Kyle, Hofmann, Kyra, Lambri, Kyriaki, Bananis, Kyriakos, Nassim, Kyrillos, Allan, Lachlan, Codina Corrons, Laia, Hijazein, Laith, Moolla, Laith, Sweidan, Laith, Rai, Lajpat, Devi, Lakshmi, Fountoulis, Lampros, Andreski, Lara, Bonello, Lara, Rodrigues Madeira, Lara, Tafesh, Lara, Yasin, Lara, Martinez, Laura, Fortuna, Laura, Peña Balboa, Laura Gabriela, García-Zambrano, Laura, Bolaños, Laura Isabela, Jiménez, Laura, Lely, Laura, Ortega Lechuga, Laura, Rossi, Laura, Rubin, Laura, Ruiz-Villa, Laura, Sequi, Laura, Sahan, Laura-Ann, Johnstone, Lauren, Monteiro, Lauren, Abdullahi, Lawal Barau, Jovcheski, Lazo, Siragusa, Leandro, Kang, Leannedra, Elgebaly, Leenah, Mansour, Lefteris, Robine-Durnell, Lélia, Bray, Lemuel Davies, Mohammed, Lena, Licari, Leo, Onyebulu, Leonard, Chieng, Leonard Ron, Solaini, Leonardo, Chardalias, Leonidas, Fountarlis, Leonidas Ilias, Van Den Hil, Leontine, Tapia Moral, Leopoldo, Petashvili, Leri, Heeren, Letícia, Laface, Letizia, Niyidukunda, Lewis, Barnard, Liam, Torres Bavestrello, Lidice Veronica, Hasan, Lilav, Dyab, Lima, Venclauskas, Linas, Beukes, Linda, Gabellini, Linda, Liepa, Linda, Zeng, Lingjuan, Dubs, Linus, Rampersad, Lisa, Catozzi, Livio, Castro, Lizeth, Milic, Ljiljana, Shawesh, Lobna, Anyanwu, Lofty-John, Khalifa, Lojina, Cheng, Lok Pong, Manoj Joshua, Lokavarapu, Shammas, Lora, Fuentes Rivera Lau, Lorena, Rodríguez Gómez, Lorena, Capello, Lorenzo, Epis, Lorenzo, Fatucchi, Lorenzo Maria, Rende, Lorenzo, Ripamonti, Lorenzo, Ackam, Louis, Moniz, Lourenço, Bains, Lovenish, Alriyami, Lubna, Alokshi, Lubnah, Martinek, Lubomir, Tulinsky, Lubomir, Samison, Luc, Lo Piccolo, Luca Benedetto, Cardinali, Luca, Nespoli, Luca Carlo, Casingena, Luca, Degrate, Luca, Bonomo, Luca Domenico, Morelli, Luca, Ottaviani, Luca, Resca, Luca, Scaravilli, Luca, Schiavone, Luca, Theuil, Luca, Casalduero, Lucas, Lee, Lucas D., Granero, Lucas, Caram, Lucas Jose, Barni, Lucia, Cidade Costa, Luciana, Paredes, Luciana, Poggi, Luciano, Marquez, Lucila, Garciandia, Lucio, Taglietti, Lucio, Pramod, Ludiya, Stella, Ludovica, Carbone, Ludovico, Bracciano, Luigi, Cobellis, Luigi, Conti, Luigi, Fedele, Luigi, Ragazzini, Luigi, Simonelli, Luigi, Verre, Luigi, Flores Chávez, Luis Adrián, Rea Bocanegra, Luis Alberto, Pelayo Orozco, Luis Ángel, Asensio Gomez, Luis, Bravo, Luis, Flores Chávez, Luis Manuel, Poggi, Luis, Cabezudo, Luis Ramón, Sante Serna, Luis, Tallon-Aguilar, Luis, Talé-Rosales, Luis-Fernando, Chantada, Luisa, Moreira, Luísa, Hasan, Lujain, M Mheidat, Lujain, Eisner, Lukas, Gantner, Lukas, Havranek, Lukas, Majerčák, Lukáš, Pánči, Lukáš, Nawacki, Łukasz, Adagrah Aniakwo, Luke, Bromley, Luke, Green, Luke, Paterson, Luke, Peters, Luke, Abdur-Rahman, Lukman, Omomeji, Lukman, Amosu, Lukmon, Kolongi, Lungushinga Christopher, Bin Aizan, Luqman Naim, Imchen, Lurong, Chang, Lydia, Mukamazera, Lydie, Katsiaras, Lykoyrgos, Al-Boukhari, Lynn, Chong, Lynn, Karydakis, Lysandros, Peris, M. Roosindu, Cancelas, Mª Dolores, Kariem, Maahir, Amoako-Boateng, Mabel, Alshamikh, Mabroukah, Ishak, Mabruok, Narayanan, Machingal, Matyja, Maciej, Walędziak, Maciej, Zounon, Mack-Arthur, Trindade, Madalena, Shahid, Madeeha, Kelly, Madeleine, Bajwa, Madiha, Bowles, Madison, Roussos, Madison, Sampaio-Alves, Mafalda, Manfredini, Magda, Kołomańska, Magdalena, Redynk, Magdalena, Farooq, Maham, Ali, Mahamudu Ayamba, Rodha, Mahaveer Singh, Alsalawi, Mahdi, Lodha, Mahendra, Sethi, Mahesh Kumar, Khalil, Mahfoud, Singh, Mahima, Abdualqader, Mahmmoud yehia, Abdelhafez, Mahmood, Sersarah, Mahmood, Abdelreheem, Mahmoud, Abu Al Amrain, Mahmoud, Barbarawi, Mahmoud, Diab, Mahmoud, Eissa, Mahmoud, ElFiky, Mahmoud, Elmesalmi, Mahmoud, Elmousili, Mahmoud, Fahmy, Mahmoud, Faisal, Mahmoud, Jabal, Mahmoud, Saad, Mahmoud M., Mahafdah, Mahmoud, Marei, Mahmoud Marei Abdelaziz, Mostafa, Mahmoud, Reda, Mahmoud, Zahran, Mahmoud, Suleman, Mahmowd, Genç, Mahmut Salih, Haghighat Ghahfarokhi, Mahta, Abubakar, Maimuna, Haimona, Mairarangi, Camuera, Maite, H. Oweidat, Majd, Mansour, Majd, Kalabić, Majda, MohammedAli, Majdeddin, Abu Daoud, Majdi, Almahjoub, Majdolin, Bilfaqirah, Majed, Yigah, Makafui, Akkawe, Malak, Dery, Malcolm, West, Malcolm, Rius, Malena, Nandasena, Malith, Aljarawn, Mallak, Masaaod, Mallak, Manangi, Mallikarjuna, Windsouri, Mamadou, Battili, Mamata, Rakotonaivo, Mamisoa Judicaël, Benghazi, Manaji, Al-Dhaheri, Manal, Almaqrahi, Manal, Katif, Manal, Alshami, Manar, Ibrahim, Manar, Ramazanov, Manas, Kaur, Mandeep, Agrawal, Manish Kumar, Pathak, Manish, Aggarwal, Manisha, Chandrasegaram, Manju, Anandan, Manoj, K S D, Manoj Kishan Lal, Kumar, Manoj, Sarda, Manoj, K B, Manojkumar, Jokubauskas, Mantas, Moreno Gonzales, Manuel Arturo, Cruz, Manuel, Diez Alonso, Manuel, Garcia, Manuel, Perez, Manuel, Mosquera Paz, Manuel Santiago, Cammelli, Manuela, Mercurio, Manuela, Singh, Manvinder, Taamreh, Manwa, Canals Sin, Mªpilar, Carbonell Pradas, Mar, Nunes, Mara, Sawaftah, Marah Ahmad, Khalil, Maram, Schneider, Marcel André, Steffani, Marcella, Pisano, Marcello, Doniquian, Marcelo Alejandro, Martínez Bareiro, Marcelo Nicolás, Pagani, Marcelo, Scortechini, Marcelo, Carvalho, Márcia, Sánchez Audelo, Marco Antonio, Brizzolari, Marco, Ceresoli, Marco, De Prizio, Marco, Amisano, Marco Francesco, Gramellini, Marco, Marcianò, Marco, Mariani, Marco, Milone, Marco, Montagna, Marco, Piccino, Marco, Santos, Marco, Dyer, Marcus, Kang, Marcus, Mahadi, Mardhiana, Zawadzki, Marek, Yinusa, Margaret, Bernardo, Margarida, Nunes Luís, Margarida, Gambelli, Margherita, Flint, Margot, Aggelidou, Maria, Bequis, Maria Agustina, Sotiriou, Maria Aikaterini, Ñañez, Maria Alejandra, Tahir, Maria Ambreen, Gascón Domínguez, María Ángeles, Asimakidou, Maria, Mourato, Maria Beatriz, Blanco, Maria, Christou, Maria, Coronas Soucheiron, Maria, Pignanelli, Maria Costanza, Kalaydjian, María Cristina, Martí-Ejarque, Maria del Mar, Olmedo Reinoso, María Del Mar, Cebollero, María Del Pilar, Derattani, Maria, Gama Caldeira, Maria Do Carmo, Drogouti, Maria, Gonzalez-Gonzalez, Maria Elena, Muñoz Fernández, María Elena, Muriel, María Emilia, Duran, María Eugenia, Zarate Casas, María Fernanda, Florou, Maria, Piacentini, Maria Gaia, Seixo, Maria Inês, Bellini, Maria Irene, Peña Soria, Maria Jesús, Martínez, María José, Medina, Maria José, Rueda Medécigo, María José, Karakeke, Maria, Kausar, Maria, Kyriazi, Maria, Marqueta De Salas, Maria, Modolo, Maria Marta, Mateu, Maria, Mavri, Maria, El Ghoul Miliotou, Maria Melina, Moreno Gijon, Maria, Papadoliopoulou, Maria, Proclamà, Maria Pia, Picciochi, Maria, Reis, Maria, Rennis, Maria, D'Anna, Maria Rosa, Ruffoli, Maria, Ruiz Soriano, María, Sánchez Ramirez, Maria, Sánchez-Rubio, María, Schüler, Maria, Sotiropoulou, Maria, Barrio Renteria, Maria Teresa, Tsopozidi, Maria, Vasconcelos, Maria, Facchino, Maria Vittoria, Wikar, Maria, Aguilera-Arevalo, Maria-Lorena, Abdu, Mariam, Asarbakhsh, Mariam, Elmiesiry, Mariam, Ashong, Marian Esi, Gomes, Mariana, Capuano, Marianna, Lill, Marianne, Nieto Galvan, Mariano, Osso, Mariasara, Olivos, Maricarmen, Sacdalan, Marie Dione, Weber, Marie-Christin, Gonzalez, Marijose De Cristo, Ferreira, Marília, Infantes Ormad, Marina, Kouliou, Marina Nektaria, Ransome, Marina, Vicario Bravo, Marina, Cuesta Argos, Mario, Faletar, Mario, Giuffrida, Mario, Lainez Escribano, Mario, Pacilli, Mario, Pannullo, Mario, Rodriguez-Lopez, Mario, Trejo-Avila, Mario, Merrakos, Marios, Tello Jimenez, Marisol, Kalisvaart, Marit, Quaunine, Marium, Perera, Mariyan, Harris, Mark, Youssef, Mark Melad Thabet, Peter, Mark, Philipp, Mark, Portelli, Mark, Jesudason, Mark Ranjan, Sammut, Mark, Tomlinson, Mark, Zammit Vincenti, Mark, Despotidis, Markos, Albertsmeier, Markus, Quante, Markus, Löffler, Markus W., Gurung, Markush, Gumsheimer, Marlena, Benamrouche, Maroua, Chaccour, Maroun, Ahmed, Marriam, Farooqui, Marryam Riaz, Angelini, Marta, Ortega Escudero, Marta, Martin Gimenez, Marta Pilar, Reia, Marta, Scricciolo, Marta, Caramantin Obando, Martha Maria, Gosselink, Martijn, Bertrand, Martin, Dum, Martin, Kajic, Martin, Karamanliev, Martin, Kyereh, Martin, Lucchini, Martin, Schön, Martin, Morna, Martin Tangnaa, Binda, Martina, Ceolin, Martina, Martorana, Martina, Zambon, Martina, Shams, Marvi, Alansary, Marwa, Alnuwayli, Marwa, Khalifa, Marwa, Bahnacy, Marwan, Iqreewi, Marway, Nnabagulanyi, Mary, Saleem, Marya, Alhimyar, Maryam, Kamal, Maryam, Masood, Maryam, Razaq, Maryam, Siddique, Maryam, Lazo Ramírez, Maryzela, Edeeb, Masaoud, Solkar, Maseera, Adetoyi, Mashood, Adeniyi, Caccetta, Massimiliano, Casati, Massimiliano, Veroux, Massimiliano, Dugo, Massimo, Bevanda, Mateo, Santillan, Mateo, Mietła, Mateusz, Pryt, Mateusz, Muir, Mathew, Bei, Matilda, McGuinness, Matt, Aulicino, Matteo, Castrovillari, Matteo, Filardo, Matteo, Palmeri, Matteo, Pisano, Matteo, Rottoli, Matteo, Gjoka, Mattheus, Binks, Matthew, Corcos, Matthew, Kwon, Matthew, Maybury, Matthew, Sammut, Matthew, Tutton, Matthew, Watson, Matthew, Biebl, Matthias, Janda, Matthias, Maak, Matthias, Wichmann, Matthias, Berselli, Mattia, Gritti, Mattia, Molteni, Mattia, Pacilli, Maurizio, Favoriti, Mauro, Garino, Mauro, Podda, Mauro, Santarelli, Mauro, Alfaid, Mawada, Albert, Mawadri Jimmy Isaac, Oyortey, Mawuenyo Attawa, Enßlin, Max, Berlet, Maximilian, Brunner, Maximilian, Kießler, Maximilian, Scheiterle, Maximilian, Sohn, Maximilian, Busch, Maximiliane, Perkins, Maya, Sabboh, Maya, Badkur, Mayank, Okudero, Mayowa, Mohamedshafee, Maysoon, Al-Juaifari, Maytham Aqeel, Elesseily, Mazen, Mohammad, Mazen, Nikberg, Maziar, Jean Claude, Mbonicura, Şermet, Medeni, Chisthi, Meer, Luthra, Meera, Sulciner, Megan, Kaple, Meghali, Bhat, Meghana, Koç, Mehmet Ali, Avci, Mehmet Alperen, Kizilkaya, Mehmet Celal, Kara, Mehmet Emin, Ozcelik, Mehmet Faik, Ozsoy, Mehmet Sait, Zaigham, Mehreen, Mesfin, Mekdelawit, Kalender, Mekselina, Mellado Tellez, Mel Paul, González De Miguel, Melania, Farrugia, Melanie, Theodoridou, Melanie, Barcelona, Melden Darrell, Aktas, Melik Kagan, Fernández Zurita, Melissa Andrea, Bautista, Melissa, Park, Melissa, Rodríguez-Ordoñez, Melissa-Zohemia, Yashar, Meltem, Worku, Mengistu, Al-Fraijat, Meran, Estaire Gómez, Mercedes, Shoshkova, Meri Danailova, Kruščica, Merima, Tanal, Mert, Çuhadar, Merve, Tokocin, Merve, Agyapong, Meshach Manu, Erkaya, Metincan, Okechukwu, Mgbako, Adinku, Michael, Bickford, Michael, Ediale, Michael, Issa, Michael, Konstantinidis, Michael K., Lie, Michael, M. Nathan, Michael, Maclean, Michael, Nortey, Michael, Pellen, Michael, Pham, Michael, Pitiakoudis, Michael, Singh, Michael Prodip, Spartalis, Michael, Van Der Colf, Michael, Wilson, Michael, Billis, Michail, Karanikas, Michail, Papamichail, Michail, Vailas, Michail, Kisielewski, Michał, Kusiński, Michał, Nycz, Michał, Święch, Michał, Fagbayimu, Micheal, Adamina, Michel, Fiogbe, Michel, Prudhomme, Michel, Angelucci, Michela, Campanelli, Michela, Cricrì, Michele, Grande, Michele, Manigrasso, Michele, Scopelliti, Michele, George, Michelle, Mozel, Michelle, Galasyuk, Mick, Chevallay, Mickael, Giuliano, Micol, Dobón Rascón, Miguel Ángel, Fernandez Romero, Miguel Angel, García Ureña, Miguel Ángel, Zaragoza Mendieta, Miguel Ángel, Bejarano Serrano, Miguel, Brito, Miguel, Calderon, Miguel, Jurado Román, Miguel, Palas, Miguel, Li Valencia, Miguel Roberto, Sebastián-Mendoza, Miguel-Julián, Muresan, Mihai-Stefan, Slavchev, Mihail, Agapov, Mikhail, Milentijević, Milica, Catterall, Millie, Stjepanovic, Milos, Doss, Mina, Natey, Mina, Aikins, Minas, Mattis, Minca, Ekanayake, Minoli Tharushika, Tora, Mir Mehrab Sharmin, Alsharayri, Mira, Shalaby, Mira, Boras, Miran, Riba Martínez, Mireia, Mogiatti, Mirella, Salibašić, Mirhan, Biancu, Miriam, Cappiello, Miriam, Koschke, Miriam Luise, Sadek, Mirna, Szura, Miroslaw, Horga, Miruna, Dason, Mishael, Tayyab, Mishal, Imirski, Mitko, Pejović, Mladen, Tabaza, Mo'Ath, Alneasan, Moaaz, Shalkamy, Moamen, Issa, Moammad Issa, Erfan, Moatasem, Ewedah, Moataz, Srour, Moayad, Beletachew, Moges, Abbas, Mohamad, Farho, Mohamad Ali, Marawy, Mohamad Kher, Klib, Mohamad, Morjan, Mohamad, Sawas, Mohamad Nabhan, Elghriani, Mohamed Abdelbaset Masoud, Abdelmaboud, Mohamed, Abdelmaksoud, Mohamed, Abdullahi, Mohamed, Abo Abdo, Mohamed, Ahmed, Mohamed, Ahmoud, Mohamed, Al Sayed, Mohamed, Suliman, Mohamed Almouafaq, Alsori, Mohamed, Altajouri, Mohamed, Assalhi, Mohamed, Berrakkouch, Mohamed, Elnour, Mohamed, Abdelsalam, Mohamed Elsayed Elaraby Abdelrahim, Elsayed Metwally, Mohamed, Hajalamin, Mohamed, Kamal Matter, Mohamed, Khaled, Mohamed, Kouta, Mohamed, Masoud, Mohamed, Almihashhish, Mohamed Miftah, Mokhtar, Mohamed, Mostafa, Mohamed, Yassin, Mohamed Musa, Bouhafs, Mohamed Nedjmeddine, Herdan, Mohamed Omar, Omer, Mohamed, Osman, Mohamed, Zaazou, Mohamed, Zahed Abdalla, Mohamed, Melouane, Mohamed-Sami, Abed, Mohammad, Sawaftah, Mohammad Ahmad Mohammad, Al-Masri, Mohammad, Al-Qannas, Mohammad, Ali-Hassanzadeh, Mohammad, Yunus, Mohammad Alif, Aloulou, Mohammad, Alrantisi, Mohammad, Araydah, Mohammad, Bani Hani, Mohammad, Barakat, Mohammad, Durrani, Mohammad, Khan, Mohammad Faisal, Dwikat, Mohammad Fuad, Hasan, Mohammad, Nabhan, Mohammad Hassan, Hijazi, Mohammad, Abu Albahrain, Mohammad Karam, Barakat, Mohammad Mounzer, Mubarak, Mohammad, Omar, Mohammad, Pourfridoni, Mohammad, Mslmani, Mohammad Rabee, Salah, Mohammad, Tanashat, Mohammad, Yahmad, Mohammad, Elmujtaba, Mohammed, Abd Al-Fattah, Mohammed, Abdelkabir, Mohammed, Abosedra, Mohammed, Sarker, Mohammed Abu Kawsar, Abudabbous, Mohammed, Abuwarda, Mohammed, Elgak, Mohammed Ahmed, Al Hinai, Mohammed, Al Zebda, Mohammed, Al-Shehari, Mohammed, Alharthi, Mohammed, Ali, Mohammed, Ismael Alamin, Mohammed Ali, Alqadasi, Mohammed, Alshanwani, Mohammed, Alshehri, Mohammed, Asaad, Mohammed, Bashir, Mohammed, Bohlala, Mohammed, Meghaizerou, Mohammed El Amine, Albanna, Mohammed Emad Hashem, Ghunaim, Mohammed, Goga, Mohammed, Hajhamad, Mohammed, Hamada Takrouney, Mohammed, Hammoda, Mohammed, Hamoud Almahly, Mohammed, Muragi, Mohammed, Mohammed, Mohammed Mustafa Hassan, Obaid, Mohammed, Omar, Mohammed, Said, Mohammed, Salah, Mohammed, Saleh Khatab, Mohammed, Aliyu, Mohammed Salele, Shakhshir, Mohammed, Sheriff, Mohammed, Tageldin, Mohammed, Abdelfattah, Mohanad, Daher, Mohanad, Lotfy, Mohanad, Alqedrh, Mohannad, Nasani, Mohannad, Mohd Shah, Mohd Shahrulsalam, Madany, Mohie El-Din Mostafa, Mobolaji-Ojibara, Mojisola, Nkogatse, Moleseng, Alazabi, Mona, Gupta, Money, Bogdan, Monica, Guerrero, Monica, Noguez Castillo, Monica, Gureh, Monika, Kacem, Montasser Jamaleddine, Tarar, Moosa Feroze, Seto, Morel, Steinruecke, Moritz, Edena, Morrison, Abdulsalam, Moruf, Abdelhadi Suliman Adam, Mosab, Saleh, Mosab, Anati, Mosaikah, Dokurugu, Moses Abdulai, Agunloye, Moses, Ibadin, Moses, Momoh, Moses, Abdelkarim, Mostafa, Kamar, Mostafa, Kotb, Mostafa, Mahran, Mostafa, Mohamad Amin, Mostafa, Shalaby, Mostafa, Waseem, Mostafa, Almaletti, Motasem, Saifi, Motaz, Tsuruta, Motohisa, Agbadebo, Mouhamed, Arnaout, Moumen, Ojo, Moyosoluwa, Sharma, Mrthyunjayani, Azzuz, Muad Mohamed Ramadan, Haj Hussein, Mudar, Ameen, Muftiat Omolola, Nkoronko, Mugisha, Fitri, Muhamad, Abdullah, Muhammad, Bashir, Muhammad Ahmad, Sadiq, Muhammad Ahmad, Ahmed, Muhammad, Ali, Muhammad, Al-Yusuf, Muhammad Ali, Haider, Muhammad Aliyan, Alshaar, Muhammad, Mirza, Muhammad Bilal, Che Yaacob, Muhammad, Daniyan, Muhammad, Elzayat, Muhammad, Butt, Muhammad Faizan, Sadiq, Muhammad Hamza, Chishti, Muhammad Haris, Ismail, Muhammad Izzat Shufphi, Kashif, Muhammad, Khalid, Muhammad, Mansoor Iqbal, Muhammad, Bin Khalid, Muhammad Moaz, Rafique, Muhammad Nouman, Raheem, Muhammad, Khalid, Muhammad Saud, Usama, Muhammad, Usman Malik, Muhammad, Saqib, Muhammad Waleed, Elhadi, Muhammed, Ateş, Muhammed Ikbal, Demirpolat, Muhammed Taha, Ergenç, Muhammer, Bello, Muideen, Kulimbet, Mukhtar, Nyirenda, Mulinda, Taeme, Mulugeta, Denini, Muna, Aziz, Munazzah, Yahaya, Mundashiru, Eugene, Muneza, Amadu, Munira, Chauhan, Munish, Acar, Murat, Teressa, Murti, Dauphin, Muryango, Arafat, Musa, Althomali, Musab, Rayzah, Musaed, Husain, Musharraf, Tolani, Musliu Adetola, Abu Jayyab, Mustafa, Al-Attraqchi, Mustafa, Kara, Mustafa Alper, Seker, Mustafa Ege, Gün, Mustafa, Hamed, Mustafa, Mehanny, Mustafa, Oncel, Mustafa, Sabri Massadi, Mustafa, Uyanik, Mustafa Safa, Uzunoglu, Mustafa Yener, Abdullahi, Mustapha, Saidani, Mustapha, Nofal, Mutaz, San, Myat, Ishak, Myrna, Keramida, Myrto D., Nik Burhanuddin, N.M. Syahrin, Talat, Nabila, Shehata, Nada, Alasbahi, Nadeen, Marcos, Nádia, Al Amri, Nadiah, Absy, Nadine, Parker, Naeelah, Lindi, Naeimah, Omer, Nafisa, Papadogianni, Nafsika, Rawal, Nagendra, Ismaiel, Nahar, Ben Hasan, Najat, Albahloul, Najla, Gokhare Viswanath, Nakul, Srinivas, Namitha, Christian, Nana Ama, Obuobi, Nana Kwame Asare, Beharry, Naomi, Yousefzadeh Kandevani, Naser, Alnamari, Nashwan, Oyelowo, Nasir, Oloko, Nasirudeen, Alzerwi, Nasser, Mosbah, Nasser, Shulman, Nastassia, Andrade, Natacha, Boumas, Natacha, Cobeño Tamayo, Natalia, Barrera Lopez, Natalia Guadalupe, Palamara, Natalia, Blencowe, Natalie, Marzouqa, Natalie, Blencowe, Natalie S, Salgadoe, Natalie, Techapongsatorn, Nathakorn, Paez, Nathaly, Ekwo, Nathan, Saini, Navdeep, Malik, Naveed Akhtar, Sharma, Naveen, Kumar, Navin, Chaudhry, Navneet Kumar, Karimbocus, Nawaaz, Rasool, Nazeerah, Lodhi, Nazia, Kavak, Nazli, Ildephonse, Ndayiragije, Diomede, Nduwimana, Bayleyegn, Nebiyou S., S.Bayleyegn, Nebiyou, Jović, Nediljko, Mosleh, Neebal, Aruldas, Neerav, Kapur, Neeti, Paul Sigamony, Negine Paul, Karthikeyan, Neha, Tabatabaian, Nelia, Affram, Nelson, Agboadoh, Nelson, Tran, Nelson, Lalovic, Nenad, Agugua-Obianyo, Nene, Kullab, Nermen, Lahmer, Nesrin, Raiq, Neven, Soldo, Neven, Spiteri, Neville, Chen, Nevin, Al Rabadi, Nezar, Christian, Ngarambe, Cabrel, Ngongang Ngansop, Leonelle Lore, Nguefack Noudem, Furbetta, Niccolò, Ensor, Nicholas, Tsantikos, Nick, Seeger, Nico, Cillara, Nicola, Eardley, Nicola, Petrarota, Nicola, Tartaglia, Nicola, Feijoo, Nicolas, Finocchiaro, Nicole, Koter, Nicole, De Santis, Nicolò, Fabbri, Nicolò, Schiavon, Nicolò, Tamini, Nicolò, Sharma, Nidhi, Sánchez Fuentes, Nieves, Solomon, Nigus, Bugdayci, Nihat, Lekiashvili, Nika, Gupta, Nikhil, Narain, Nikhil, Uttam, Nikita, Kłos, Nikola, Ververidis, Nikolaos Adrianos, Arkadopoulos, Nikolaos, Dimitrokallis, Nikolaos, Garmpis, Nikolaos, Gouvas, Nikolaos, Kalampokis, Nikolaos, Kopanakis, Nikolaos, Kydonakis, Nikolaos, Machairas, Nikolaos, Memos, Nikolaos, Michalopoulos, Nikolaos, Mathioudakis, Nikolaos Nestor, Roukounakis, Nikolaos, Stamos, Nikolaos, Tasis, Nikolaos, Tsakiridis, Nikolaos, Vlachakos, Nikolaos, Zampitis, Nikolaos, Kouzakos, Nikolas, Börner, Nikolaus, Dimitriou, Nikoletta, Dafnios, Nikos, Banerjee, Niladri, Klammer, Nils, Maharjan, Nima, Rabai, Nimah, Oscar, Nimpaye, Harrison, Nina, Kheyrbek, Nina, Kansakar, Nirajan, Bhat, Nisar, Krishnappa, Nischal, Pahuja, Nisha, Paul Ambrose, Nitin, Renovat, Niyongabo, Musawa, Nizar, Nwanne, Njideka, Steve, Nkurunziza, Chidumije, Nnaemeka, Nwafulume, Nnaemeka, Celestine, Nnamani, Duru, Nnamdi, López Bernal, Noelia Esthela, Laquatra, Noemi, Pasqua, Noemi, Awwad, Noor Al-Deen, Ali, Nora, Hielscher, Nora, Trabulsi, Nora, Hüser, Norbert, Muñoz Montes, Norberto, Eshak, Norma-Sol, Rajab, Nosaiba, Lahnaoui, Nouhaila, Ouachou, Nouhaila, Ali, Nour, Dadoush, Nour, Fazili, Noureen, Theophile, Ntahompagaze, Ntanzi, Ntuthuko, Bibila, Nubia Samuel, Alwaer, Nuhay, Naabo, Nuhu, Jiagge, Nuna, Freitas Oliveira, Nuno Miguel, Pratas, Nuno, Morricone, Nunzia, Franco, Nunzio Francesco, Binti Yusri, Nur Aima, Ramli, Nur Natasya, Abd Ghani, Nur Suriyana, Umar, Nura, Aly, Nuran Khaled, Lakhanov, Nurgali, Al-Hroub, Nurhan, Kiziltoprak, Nurhilal, Chavarrias, Nuria, Maulenov, Nurlan, Akinbami, Nurudeen, Abdulraheem, Nurudeen Toyin, Karunaratne, Nuwanthika, Jeannette, Nyiransabiyera, Altobaishat, Obieda, Egwuonwu, Ochonma Amobi, Enciu, Octavian, Cohen-Arazi, Oded, Pheiffer, Odette, Okoye, Odili Aloysius, Omoike, Ofure, čančar, Ognjen, Ekwunife, Okechukwu Hyginus, Emuze, Okundayo, Eljizoly, Ola Abdallah, Al Hamdani, Ola, Emadeldeen, Ola, Morgan, Ola, Olajumoke, Oladapo, Popoola, Olakunle, Ajiboye, Olalekan, Olasehinde, Olalekan, Jolayemi, Olamide, Babatunde, Olanrewaju, Balogun, Olanrewaju, Olajide, Olawumi, Lisin, Oleg, Bellou, Olga, Jurić, Oliver, Ladlow, Oliver, Whitehurst, Oliver, Camilleri, Olivia, Montaño Angeles, Olivia, Pryer, Olivia, Ray, Olivia, Gabom, Olivier, Ndizeye, Olivier, Ojewuyi, Olufemi, Oluyemi, Olukayode, Elebute, Olumide, Ogunsua, Oluseyi, Fasiku, Olushola Kayode, Fasoro, Olusola, Fatudimu, Oluwafemi, Osunlusi, Oluwafemi, Owolanke, Oluwagbenga, Oso, Oluwarotimi, Alaba, Oluwaseun, Ojo, Oluwaseun, Oluseye, Oluwaseun, Oyinloye, Oluwaseun, Al Alyani, Omaima, Okrah, Omane, Agha, Omar, Al-Fahel, Omar, Almomani, Omar, Alruwaili, Omar, Ibarra, Omar, Ibrahim, Omar, Khalil, Omar, Kouli, Omar, Lima Azurdia, Omar, Mansour, Omar, Mohamed Mokbel, Omar, Omar, Omar, Bedak, Omer, Ozkan, Omer Faruk, Yalkın, Omer, Mohamed, Omnia, Ayandipo, Omobolaji, Faboya, Omolara, Williams, Omolara Modupe, Irowa, Omorodion, Attawodi, Onuche, Salako, Opeyemi, Ioannidis, Orestis, Agcaoglu, Orhan, Martin Sole, Oriol, Webster, Orla, Abouhiekal, Osama, Al Shaqran, Osama, Bahsas-Zaky, Osama, Nubi, Osama Gamal, Hany, Osama, Matar, Osama, Mahafdah, Osama R., Sarhan, Osama, Osagie, Osasumwen, Soublett Rivas, Óscar Alexander, Gülcicek, Osman Bilgin, Cuenca Torres, Osmar Manuel, Carpineto Samorani, Osvaldo, Arsalan, Othman, Coyoy-Gaitán, Otto, Nouhail, Oumaima, Boujidi, Oumama, Dicko, Ousmane A A, Ahmad, Owais, Christianah, Oyegbola, Küpçüoğlu, Özge, Zanbak Mutlu, Özgecan Pırıl, Chadha, P, Prabhu, P Santosh, Carmignani, Pablo, Arteaga Asensio, Pablo Cesar, Del Val Ruiz, Pablo, Royo Dachary, Pablo, Sancho Pardo, Pablo, Vásquez, Pablo, Sukhvibul, Pakkapol, Assouto, Pamphile, Evangelou, Panagiota, Dorovinis, Panagiotis, Kapsampelis, Panagiotis, Kokoropoulos, Panagiotis, Kostoglou, Panagiotis, Manikis, Panagiotis, Sakarellos, Panagiotis, Lykoudis, Panagis, Kumar, Pankaj, Patel, Panna, Paraskeva, Panoraia, Vassiliu, Panteleimon, Antonakis, Pantelis, De Nardi, Paola, Marongiu, Paola, Kamenova, Paolina, Venturelli, Paolina, Belotti, Paolo, Ubiali, Paolo, Grivas, Paraskevas, Stamopoulos, Paraskevas, Chatzikomnitsa, Paraskevi, Trakosari, Paraskevi, Tekam Wadje, Parfait Stéphane, Manjunath, Parikshith, Gupta, Pariza, Dhamija, Parth, Haque, Parvez, Haque, Parvez David, Haque, Parwez Waseemul, Nze Obiang, Pascal Christian, Probst, Pascal, Chiacchio, Pasquale, Cianci, Pasquale, Favoriti, Pasqualino, Koggoh, Patience, Bernardo, Patrícia, Omwansa, Patricia, Serrano Méndez, Patricia, Owens, Patrick, Tang, Patrick, Walker, Patrick, Chimezie Andrew, Paul, Trinity, Paul, Wilson, Paul, George, Paul Yohan, Artigot, Paula, Devlin, Paula, Vladova, Paulina, Cabrera Rivera, Paulo Andrés, Arunachalam, Pavai, Glushkov, Pavel, Levíček, Pavel, Lal, Pawanindra, Panahi, Pedram, David Santos, Pedro, Laranjo, Pedro, Palazon Bellver, Pedro, Rego Ponte, Pedro, Salas Núñez, Pedro, Sornoza, Pedro, Chloropoulou, Pelagia, Correia, Penélope, Limani, Perparim, Agbonrofo, Peter, Boateng, Peter Agyekum, Elemile, Peter, Francúz, Peter, Riedl, Peter, Tschann, Peter, Yuide, Peter, Hudáč, Petr, Ostruszka, Petr, Zimmermann, Petra, Nambala, Petrus, Shimbulu, Petrus, Thomas, Phebey A, Kumassah, Philemon, Alexander, Philip, Mensah, Philip, Taah-Amoako, Philip, Horvath, Philipp, Garcia-Dubus, Philippe, Holt, Phillip, Lapolla, Pierfrancesco, Cicerchia, Pierfranco Maria, Palumbo, Piergaspare, Anoldo, Pietro, Calò, Pietro Giorgio, Grondona, Pietro, Masseria, Pietro, Riva, Pietro, Milewski, Piotr Jan, Kowalewski, Piotr, Kasetsermwiriya, Pohpdham, Patel, Poojan, Leungon, Poramet, Kaur, Prabhjot, Arya, Prafull Kumar, Shivashankar, Pranav, Kothari, Prashant, Dummala, Prashanth, Shukla, Prateek, John, Pravin, Adebayo, Precious, Andrejevic, Predrag, Thambi, Prem, Anandan, Premkumar, Idjerhe, Prince, Boateng, Prince Kwame, Ntem, Prince, Waghchoure, Prince, Yeboah Owusu, Prince, Moodley, Priyanka, Suresh, Priyanka, Kanavidis, Prodromos, Odigie, Vincent, Christodoulou, Prokopis, Nashidengo, Pueya Rashid, Patel, Puja, Dolatzay, Qayom Khan, Mashlah, Qusai, Sabbah, Qutaiba, Sethi, R, Robitsek, R. Jonathan, Jubran, Ra'Ed, Raheem Attallah Al-obaidy, Raad, Michael, Rabha, Abela, Rachel, Colbran, Rachel, Geow, Rachel, Titcombe, Rachel, Soglonou, Rachelle, Ait Ben Addi, Rachid, Jayakrishnan, Radhakrishnan, Acharya, Radhika, Salim, Radhwan, Guzmán Lambert, Radisnay, Donchev, Radoslav, Drasovean, Radu, Andreou, Rafael, Perez-Soto, Rafael Humberto, Santana Ortiz, Rafael, Villalobos Mori, Rafael, Sokratous, Rafailia, Smolinski Kurek, Rafal Ludwik, Solecki, Rafal, Basile, Raffaele, Abd Elkareem, Raghad, Yousef Yassin, Raghad, Faisal, Raghdah, Abd Alkareem, Rahaf, Hegy, Rahma, Jaba'Teh, Rahmah, Sharma, Rahul Deo, Gupta, Rahul, Saxena, Rahul, Sinha, Rahul, Varshney, Rahul, Ripoll I Palmés, Raimon, Lunevicius, Raimundas, Raghunath, Rajat, Redkar, Rajeev, Sharma, Rajeev, Philip Sridhar, Rajeevan, Krishna Raj, Rajesh, Nathani, Rajesh, Kottayasamy Seenivasagam, Rajkumar, Ahmed, Rakesh, Handa, Rakesh, Vakil, Rakesh, Armah, Ralph, Attaf, Ram, Elazary, Ram, Alkhatib, Rama, Alzu'Bi, Rama, Raddad, Rama, Kaur, Ramanjot, Kaur, Ramanpreet, Nataraja, Ramesh, Hussam Yacoub Hattar, Ramez, Ben Hmida, Rami, Chaudhary, Ramkaran, Ramirez Calas, Ramon Andres, Soliva Domínguez, Ramón, Ghaleb, Ramzi, Batir, Rana, Haddad, Rana, Sugair, Rana, Suleiman, Rand, Perera, Ranga, Altayargh, Rania, Joumaa, Ranim, Ellawala, Ranjith, Elaifia, Rany, Eloka, Raphael, Hernandez Rodriguez, Raquel Angelica, Diaz, Raquel, Lalanda, Raquel, Rodríguez-Uria, Raquel, Olatunji, Rasheed, Wani, Rauf, Díaz Pedrero, Raúl, Ubiñas, Raul, Lertnamvongwan, Raunika, Hiary, Rawan, Almahadin, Rawan Khalid Za'al, Radwan, Rawan, Issa, Rawand, Dar, Rayees Ahmad, Nyirenda, Raymond, Eghonghon, Raymond Atah, Oppong, Raymond, Govindaraju, Rayshini, Kalouk, Razan, Abad, Rebeca, Akankoatuesi Apatewen, Rebecca, Bradley, Rebecca, Enejo, Rebecca Eboshogwe, Hauwa Sani, Rebecca, Jurdon, Rebecca, Sönmez, Recep Erçin, Belouz, Reda, Abhinaya, Reddy, Abu Salah, Reem, Alatawi, Reem, Alqahtani, Reem, Sayad, Reem, Adel Diab, Rehab, Függer, Reinhold, Madi, Reman, Pajtak, Renata, Barradas, Renato, Díaz-Ruiz, Renato, Patrone, Renato, Palacios Huatuco, René M., Casma Bustamante, Renzo, Ranadive, Reuben Rajappa, Askari, Reza, Sulce, Rezart, Liang, Rhea, Tummon, Rhea, Roberts, Rhianna, Mcclen, Rhys, Duvenage, Riaan, Kattini, Ribal, Alvarado Hurtado, Ricardo, Tenfen Carneiro, Ricardo Augusto, Castro Lara, Ricardo Jesús, Silva Borges, Ricardo, Souto, Ricardo, Vaz Pereira, Ricardo, Barone, Riccardo, Fratarcangeli, Riccardo, Guercio, Riccardo, Magarini, Riccardo, Malatesti, Riccardo, Tripathi, Richa, Crawford, Richard, Kpangkpari, Richard, Marlin, Richard, McGee, Richard, Nesco, Richard, Spence, Richard, Akpaka, Richfield, Alinde, Rigobert, Khalid, Rija, Sato, Rikiya, Kitamura, Riley, Baldan, Rino, Agyei Boakye, Rita, Branquinho, Rita, Hleyhel, Rita, Miranda Pera, Rita, Pinheiro Duque, Rita, Ribeiro Dias, Rita, Bhatia, Riya, Rabah, Rnad, Damseh, Ro'Ya, Alzughayyar, Roa, Daradkeh, Roa'A, Bassam, Roaa, Refaie, Roaa, Bethune, Rob, Elshennawy, Roba, Cachia, Robert, Franz, Robert, Grützmann, Robert, Kibuuka, Robert, Laskowski, Robert, Mazurkiewicz, Robert, Munyaneza, Robert, Parker, Robert, Sagoe, Robert, Sucher, Robert, Granata, Roberta, Ruccella, Roberta, Tutino, Roberta, Badra, Roberto, Mares País, Roberto, Sampietro, Roberto, Scola, Roberto, Mackay, Robyn, Tumolo, Rocco, Figueroa, Rodrigo, Doamba, Rodrigue, Habib, Rohan, Gujjuri, Rohan R, Anjum T Siddeek, Rohik, Mittal, Rohin, Kumar, Rohit, Goudou, Roland, Rüdrich, Roland, Senin, Roman, Moukarzel, Romika, Ferlini, Romina Lorena, Ribeiro, Rómulo, Schmidt-Branden, Romy, Zerna Encalada, Ronald, Ferreira Acosta, Rosa, Lopatriello, Rosanna, Perez, Rosario, Hall, Rosie, Alloni, Rossana, Arena, Rossella, Gioco, Rossella, Polo, Roxy, Shen, Ru, Doherty, Ruairi, Rivas, Ruben, Oppong-Amoah, Ruby, Ooi, Rucira, Radojković, Rudolf, Herrera, Rudy, Bernardino, Rui, Ediru, Rukevwe, Al Shehhi, Ruqaiya, Masri, Ruqaya, Hodgson, Russell, Azimov, Rustam, Martínez Díaz, Rut, Santos Pereira, Rute, Naidoo, Ruvashni, Noor, Ruzaimie, Campbell, Ryan, Khalil, Ryta, Chigblo, S. Pascal, Abuzahra, Saad, Halabi, Saad, Maqbool, Saad, Alsmadi, Saba, Chaudhary, Sabah, Chowdhury, Sabbir Ahmed, Jayatilleke, Sachitha, Hayat, Saddaqat, Megdiche, Sadok, Abed, Saed, Abdeewi, Saedah, Toprak, Safa, Salim, Safauldeen, Yussif, Safia, P, Sagar, Trejo Ramos, Sagrario Leticia, Shittu, Saheed, Mahdi, Saher, Alijla, said, Al-Doghme, Saja, Bataineh, Saja, Mathew, Sajjan, Alshagrawi, Salah, Ibrahim Tour Harakan, Salah, Ibrahim, Salaheldin, Al Momani, Salam, Workineh, Saleamlak Tigabie, Said, Saleeha, Turkmani, Saleem, Ba-Shammakh, Saleh Ali Mohammed, Alshab, Saleh, Hammad, Saleh, Salama, Salem, Alneihuom, Salih, Karahan, Salih Nafiz, Dawo, Sallu, Ng, Sally, Nofal, Sally, Ahmed, Salma, Amahmid, Salma, Elnoamany, Salma, Fakhouri, Salma, Selim, Salma, Abrayik, Salmi, Di Saverio, Salomone, Kassad, Saloua, Carrabetta, Salvatore, Costa, Salvatore, Gargiulo, Salvatore, Schirone, Salvatore, Sorrenti, Salvatore, Beavis, Sam, Lawday, Sam, Alananzeh, Samah, Arafa, Samah, Bani Amer, Samah, Mamduh, Samah, Omar, Samah, Altaf, Saman, Dos Santos Rocha Ferreira, Samantha, Quoy, Samantha, Emile, Sameh, Abu Salem, Samer, Al Athath, Samer, Yigman, Samet, Eldirdiri, Sami, Imam, Sami, Jomaa, Sami, Errami, Samia, Kessab, Samia, Muhammad, Saminu, Delibegovic, Samir, Kanaan, Samir, Aliozor, Sampson, Olori, Samson, Sani, Samuel Ali, Anim, Samuel, Bennett, Samuel, Debrah, Samuel, Ghattas, Samuel, Brenu, Samuel Gyasi, Robinson, Samuel James Alexander, Arthur, Samuel Joseph, Mcclintock, Samuel, Mensah, Samuel, Ogunlade, Samuel, Tingle, Samuel, Jabeen, Sana, Borrego Canovaca, Sandra, De La Cruz Ahufinger, Sandra, Tsoti, Sandra Maria, Paterna -Lopez, Sandra, Sanz, Sandra, Tsatsu, Sandra, Hügli, Sandro, Yunusa, Sani Abdullahi, Aji, Sani Ali, Katragadda, Sanjay, Edem, Sanketh, Irrinki, Santhosh, Shivashankar Chikkanayakanahalli, Santhosh, Bertone, Santiago, Karmarkar, Santosh, Abbas, Sara, Alashhab, Sara, Alsaeiti, Sara, Andrade, Sara, Egreara, Sara, Elfallah, Sara, Galati, Sara, García López, Sara, Giovampietro, Sara, Ismail, Sara, Kamari, Sara, Lauricella, Sara, Marzorati, Sara, Mohammed, Sara, Moschella, Sara, Mostafa Yassin, Sara, Patrocínio, Sara, Massa, Sara Tiziana, Vertaldi, Sara, Abdelmohsen, Sarah, Al Sharie, Sarah, Barbosa Castelo Branco, Sarah, Bowman, Sarah, Condron, Sarah, Elfurdag, Sarah, Ellouzy, Sarah, Fennelly, Sarah, Mansour, Sarah, Molfino, Sarah, Qwyder, Sarah, Rennie, Sarah, Robinson, Sarah, Segnitome, Sarah, Staight, Sarah, Yassin, Sarah, Alsibai, Sareyah, Khan, Sarfaraz, Khurana, Sarita, Rafiq, Sarmad, Malhi, Sarvpreet Singh, Dognia, Satchmo, D A, Sathiafrey, Babu, Satia, Subbiah Nagaraj, Satish, Meena, Satya Prakash, Vasquez, Saul, Bradulskis, Saulius, Mikalauskas, Saulius, Laura, Saura García, Verhage, Savannah Skye, Simeonidis, Savvas, Sarwary, Sayed Haschmatullah, Naidu, Sayuri, Schimpke, Scott, Davis, Sean, Stevens, Sean, Sierra, Sebastian, Dos Santos, Sebastiano, Strachan, Sebastien, Bektas, Sebnem, Atupra, Sedinam Adjoa Asiedua, Kreid, Sedra, Bugren, Seeraj, Saudí-Moro, Sef, Ashini, Sehar, Aboseif, Seif, Abdul Rahman, Seif-Aldin, Karim, Seiver, Öztürk, Selen, Akuffo, Selma, Awad, Selmy, Srishankar, Selvaratnam, Tobome, Sèmèvo Romaric, Malek, Sepand, Quartarone, Serafino, Grimaldi, Serena, Guarriello, Serena, Kalenga, Serge, Katorkin, Sergei, Trujillo Ponce, Sergio Adrian, Villeda, Sergio Alejandro, Intini, Sergio Giuseppe, Vázquez-Sánchez, Sergio Jiram, Salido, Sergio, Valeri, Sergio, Yilmaz, Serhan, Meriç, Serhat, Bensalem, Serien, Sucu, Serkan, Yılmaz, Serkan, Uludağ, Server Sezgin, Torres Rodríguez, Servio Tulio, Ooi, Sett, Luciano, Severino, Houndji, Sèwou Francklin Albert, Agordjor, Seyram, Ward, Sezar, Samardali, Shaden, Altoume, Shadi, Mahfoud, Shafik, Razaq, Shahad, Khan, Shahbano, Husanov, Shahboz, Ahmed, Shaheer, Islam, Shahnoor, Waqar, Shahzad Hussain, Kumaran, Shairashree, Magrhi, Shamsa, Zhang, Shane, Kashyap, Shankarsai, Karandikar, Sharad, Sundaramurthy, Sharada, Chowdhury, Sharfuddin, Jayasekara, Sharitha, Laura, Sharon, Shanker, Shashwat, Ababneh, Shatha, Gilbert, Shaun, Kenworthy, Shaunna, Ng, Shawn Hong Ming, Mackenzie, Shawn, Salindera, Shehnarz, Khattak, Shehrbano, Loke, Sheih Nee, Manzoor, Sheikh Viqar, Alwardi, Sheikha, Allam, Shereen, Tawfik, Sherifa, Francis, Shikha, Cai, Shirley, Dindyal, Shiva, Pandya, Shivangi, Chopra, Shreya, Ingley, Shreya, Kulkarni, Shrirang, Kosna, Shuba, Nayak, Shubhalaxmi, Ahuja, Shubham, Hariharan, Shubhang, Karuppusamy Krishnasamy, Shyam, Khare, Siddhant, Handa, Siddhartha, Amin Omar Alsiddig, Siddig, Alqurashi, Siddiga, Al-Tahayneh, Sief-Addeen, Sibiya, Silindokuhle, Perretta, Silvana, Ibarra Camargo, Silvia Alejandra, Montisci, Silvia, Mungo, Silvia, Puddu, Silvia, Severi, Silvia, Agudelo Mendoza, Silvia Valentina, Makkai-Popa, Silviu Tiberiu, Boyes, Simon, Monkhouse, Simon, Stock, simon, Alberti, Simona, Meneghini, Simona, Giudici, Simone, Guadagni, Simone, Birolo, Simone Lorenzo, Novello, Simone, Oliveira, Simone, Gumede, Simphiwe, Dhole, Simran, Budhwani, Simran Saleem, Ramjit, Sinead, Yumurtacilar, Sinem, Mahendra, Sirigi Naga, Abeykoon, Sithira, Moh Pauzi, Siti Farhan, Rajendra, Sittampalam, Sundararajan, Siva, Gananadha, Sivakumar, Kamarajah, Sivesh K, Marawu, Siyasanga, Basu, Sk, Hassan, Sleman, Reddy, Snigdha Mettu, Anaya Sanchez, Sofia, Gaspar Reis, Sofia, Gomez, Sofía, Gamba, Sofia Lucia, Pimentel Morais, Sofia, Ashry, Soha, Abdullateef, Sohaila, Bandyopadhyay, Soham, Samadi, Soheil, Pathan, Sohilkhan R., Lakew, Solomon, Basu, Somprakas, Ohri, Sonali, Alonso Marcos, Sonia, Amoza Pais, Sonia, Fortuna Martins, Sónia, Gill, Sonia, Matthiess, Sonia, Sabbatini, Sonia, Soto Schütte, Sonia, Engel, Sophie, Eam, Sothseyhakmonique, Botaitis, Sotirios, Lawani, Souliath, Jamil, Soumaya, Kondpan, Sourav, Oum, Sovannarith, Govender, Sovishnee, Christodoulou, Spyridon, Davakis, Spyridon, Vernadakis, Spyridon, Gkogkos, Spyros, Gobishangar, Sreekanthan, Suresh, Sreelakshmi, Vembar, Sridhar, M, Srikanth, Abdelrasoul Elnour Ismail, Srraa, Zourntou, Stamatina-Emmanouela, Nwabuoku, Stanley Emeka, Ideh, Stanley, Charitonos, Stavria, Liapis, Stavros Chrysovalantis, Faber, Stefan, Piccioni, Stefania Angela, Romano, Stefania, Silvestre, Stefania, Jarmusch, Stefanie, Soelling, Stefanie, Cardelli, Stefano, Chaifouroosh Mamagany, Stefano, Corso, Stefano, Basso, Stefano Maria Massimiliano, Megna, Stefano, Bitsianis, Stefanos, Tsatsos, Stefanos, Morales, Steffanía, Gerdes, Stephan, Göller, Stephanie, Hanna, Stephanie, Tabiri, Stephen, Agana, Stephen, Theivendran, Stephen Arthur, Kache, Stephen, Knight, Stephen R, Smith, Stephen, Stonelake, Stephen, Wrenn, Stephen, Gopaul, Steven, Vederaki, Styliani, Kapiris, Stylianos, Kykalos, Stylianos, Hlaing, Su Su, Chia, Su Yin Denise, Abu Khousa, Suad, M. Udwan, Suad, Raul, Subrat, Chase, Suchita, Nair, Sudharrshan, Joseph, Sudhir, Singh, Sudhir Kumar, Singh, Sudhir, Timmalah, Suhaylah, Alsuwiyah, Suhir, Thalgaspitiya, Sujeewa Priyantha Bandara, Sellahewa, Sujeewa, Neogi, Sujoy, Burger, Sule, Polat, Süleyman, Alkadi, Sulman, Asiri, Sultan, Otho, Sumaira, Mewa Kinoo, Suman, Ebrahim, Sumayyah, Tontus, Sumeyya, Midya, Sumit, Thuraisamy Sarma, Sundaramoorthy Iyer, Payyanur Thotan, Sundeep, Kumar Venkatappa, Sunil, Techapongsatorn, Suphakarn, Kaur, Supreet, Jp, Supritha, Tan, Suqi, Djote, Surafel Mulatu, Surendran, Suraj, Singh, Surendra, Chilaka, Suresh, Lee, Susan, Henriques, Susana, Giridaran, Suseendirarajah, Achugatla, Sushma, Kumar, Suvam, Brincat, Svetlana, Deshpande, Swati, Batista, Sylvia, Akharaekpanya, Tachporn, Moges, Tadesse Girma, Türkmen, Taha Berkay, Alhaj Hasan, Taima, Alshawabkeh, Taima', Majed, Taima', Lawal, Taiwo Akeem, Ibiyeye, Taiye Taibat, Rashid, Tajamul, Košir Božič, Tajda, Mohammed, Tajudeen, Khewater, Talal, Abelman, Talia, Al Barhi, Tamadher, Mogne, Tamiris, Salazar-Lorenzana, Tania Abril, Akter, Tania, Gómez Sanz, Tania, Motiwala, Tanmay, Valizadeh Elizeh, Tanya, Almahdi, Tanzeel, Albushary, Tanzel Alrahman, Abdulrahman, Taofeeq, Finlay, Tara, Chouari, Tarak, Awad, Tarek, Sabra, Tarek, M. Abubasheer, Tareq, Alhusban, Tariq, Yılmaz, Tarık Emre, Aloqaili, Tasneem, Aldirawi, Tayef, Karahasanoğlu, Tayfun, Gülşen, Taygun, Jemal, Tebarek, Nadeem, Tehmina, Singh, Tejinder Paul, Alinger, Temsula, Longkumer, Temsutoshi, Lo, Terence, Gimenez Maurel, Teresa, Uprak, Tevfik Kıvılcım, Petropoulou, Thalia, Rawther, Thampi, Techapongsatorn, Thawin, Manickam, Thendral, Padioti, Theodora, Kozonis, Theodoros, Sidiropoulos, Theodoros, Tsirlis, Theodoros, Theodosopoulos, Theodosios, Hessou, Thierry Kinnongni, Uiyapat, Thitapon, Agyen, Thomas, Harris, Thomas, Hugh, Thomas J, Jorgensen, Thomas W., Theivendrampillai, Thrshegan, Pham, Thuy Vy, Branco, Tiago, Nagwamutse, Tijjani Nasiru, Tony V, Tina, Devabalan Koil, Titus, Pilia, Tiziana, Abdulmola, Tmador Mahmed Ali, Oyeyemi, Tobiloba, Kebede, Tolera, Ibarra-Hurtado, Tomás Ramón, Reichelt, Tomas, Gach, Tomasz, Stefura, Tomasz, Wojewoda, Tomasz, Soric, Tomislav, Risteski, Toni, Tridip, Tridip Dutta Baruah, Yotsov, Tsanko, Doma Bhutia, Tshering, Girma, Tsion, Kwan, Tsun Yu, Ivanov, Tsvetomir, Iahmo, TT, Ashkar, Tuleen, Mabogoane, Tumi, Olobatoke, Tunde, Sholadoye, Tunde T., Mishra, Tushar Subhadarshan, Parker, Tyla, Ezomike, Uchechukwu, Dilibe, Uchenna, Kumbhar, Uday, Una, Uduak-Abasi, Grossi, Ugo, Ezidiegwu, Ugochukwu, Edith, Ugwuoke, Daspal, Ujjwal, Kalu, Ukoha Agwu, Dietz, Ulrich, Ronellenfitsch, Ulrich, Wirth, Ulrich, Abdullah, Umar, Rivolta, Umberto, Jayarajah, Umesh, Kanyan Kassim, Umu-Hera, Govindan, Unnikrishnan, Fernandes, Urânia, Akram, Usman, Mohammed Bello, Usman, Omara, Usra, Naidoo, Uvarasen, Mahendravarman, Vaishnaivy, Negoita, Valentina Madalina, Mariottini, Valentina, Murzi, Valentina, Zucchini, Valentina, Agbakwuru, Valentine, Armenta Tapia, Valeria Estefania, Gentilino, Valerio, Borgogni, Vanessa, Ng, Vanessa, Wolfschluckner, Vanessa, Silvestri, Vania, Žufić, Vanja, Gunasaegaram, Varman, Kamalathevan, Vasan, Pillay, Vasanthan, Neykov, Vasil, Kalles, Vasileios, Mousafeiris, Vasileios, Papadopoulos, Vasileios, Tsaousis, Vasileios, Tselepidis, Vasileios, Vougas, Vasileios, Georgilaki, Vasiliki, Nikolaou, Vasiliki, Themelidi, Vasiliki, Manchev, Vassil, Ioannou, Veatriki, Jha, Vedant Shekhar, Dragisic, Vedran, Sutharshan, Vengadasalam, Alonso, Veronica, Brocco, Veronica, Ongil Rodríguez, Verónica, Schirinzi, Veronica, Budyakova, Veronika, Naunova, Vesna, Panduro-Correa, Vicky, Ruiz López, Víctor Andrés, Bill, Victor, Dassah, Victor, Gonzabay, Víctor Eduardo, Etwire, Victor, Modekwe, Victor, Serna-Alarcon, Victor, De Donato, Victor Ugo, Duque Mallén, Victoria, Liu, Victoria, Sharma, Vidushi, Kumar, Vijaya, Muralidharan, Vijayaragavan, Kakotkin, Viktor, Enemuo, Vincent, Kudoh, Vincent, Osoka, Vincent, Siepaal, Vincent, Granata, Vincenza, Dinuzzi, Vincenza Paola, Lizzi, Vincenzo, Ricchiuti, Vincenzo, Mosca, Vinicio, Kanna D, Vinoth, Nair, Vipin Venugopal, Ledda, Virginia, Michael, Vishal, Singh, Vishavdeep, Govindasamy, Vishendran, Kollengode, Viswanathan V, Giordano, Vittoria, Morinelli, Vittoria, Lin, Vivian, Cuk, Vladica, Cijan, Vladimir, Çalik, Volkan, Bakshi, Vrushank, Ten, Vyacheslav, Ratheesh, Vysakh, Alsado, Wael, Mayo, Wafik, Yang, Wah, Rehman, Wajeeh Ur, Abbas, Walaa, Al-Khyatt, Waleed, Mabood, Waleed, Santucci, Walter, Yew, Wan Ting, Tahir, Warda, De Silva, Warusha Dhammika Dulantha, Wijenayake, Wasantha, Almadhoun, Waseem J.N., Alhroub, Wasef, Ebrahim, Wesam, Jabłoński, Wiktor, Krawczyk, Wiktor, Bhatti, William, Lai, William Kwan Ho, Petrushnko, Wilson, Afedo, Wisdom, Kasetsermwiriya, Wisit, Serednicki, Wojciech, Wysocki, Wojciech, Zerefa, Wondwossen Amtataw, Vagena, Xanthoula, Tarrado, Xavier, Papazarkadas, Xenofon, Po, Xiang Yuen, Ouadi, Yacine, Myla, Yacob, Haido, Yacoub, Hasan, Yafea, Karataş, Yağmur, Carpio Colmenares, Yahaira, Galvañ Félix, Yaiza, Balogun, Yakub Lekan, Maktabi, Yaman, Nerabani, Yaman, Fulgence, Yamuremye, De Silva, Yannick, Asar, Yara, Samer Morsy, Yara, Ghaleb, Yasameen Saif Saeed Mohammed, Vashishth, Yash, M S, Yashas, Manickchund, Yashoda, Sakaray, Yashwant, Kara, Yasin, Tosun, Yasin, Zwain, Yasir, Farag, Yasmeen, Jedidi, Yasmine, Seada, Yasmine, Aldebasi, Yasser, Ashour, Yasser, Badr, Yassin, Sarpong, Yaw, Alawneh, Yazan, Aung, Yee Lay, Orabi, Yehia, Lam, Yick Ho, Şen, Yigit Kaan, Koyluoglu, Yilmaz Onat, Huang, Yining, Mintz, Yoav, Perez, Yocarli, Chamara, Yohan, Melkamu, Yohannes, Maestre González, Yolanda, Dean, Yomna, Metaferia, Yonas Yilma, Malki, Yosra, Mohamed, Younis, A. Omar, Yousef, Alhammoud, Yousef, Allaoua, Yousef, Tanas, Yousef, El Okazy, Youssef, Kerolous, Youssef, Mohamed, Youssef, Al-Junaidi, Youssuf, Lakdawala, Yousuf, Lu, Yuann, Asano, Yukio, Altinel, Yuksel, Aktimur, Yunus Emre, Fishman, Yuri, Kudryavcev, Yurii, Tandoğan, Yusuf Iskender, Razafimandimby, Yves Michaël, Adofo-Asamoah, Yvonne, Şenol, Zafer, Odeh, Zahra, Benamrouche, Zahra Rayane, Alkhaier, Zahraa, Al-Sheikh Ali, Zaid, Zaher, Zain Aldin, Alnajjar, Zaina, Al-Balushi, Zainab, Alkhuzaie, Zainab, Khraim, Zakaria, Toutounji, Zakaria, Djama, Zakarya, Farraj, Zamil, Shah, Zamir Ahmad, Khan, Zara, Khan, Zarnigar, Abo Alarous, Zayn Alabden, Asaad, Zaynab, Demetrashvili, Zaza, Lorenc, Zbigniew, Brekalo, Zdrinko, Hannouneh, Zein Alabdin, Robertson, Zelda, Bady, Zeyad, Durna, Zeynep, Wong, Zhen Yu, Fozo, Zien Alabdin, Klib, Zienab, Chin, Ziling, Tamou, Zime Farid, Johnson, Zina, Shabello, Ziyad, Orzeszko, Zofia, Aljalabi, Zohal, Al-Azher El-Hamel, Zohour, Karampotaki, Zoi Rafaila, Valera Sanchez, Zoraida, Matkovic, Zoran, Azhar, Zubair, Qureshi, Zubaria, Correa López, Zulema Margarita, Balciscueta, Zutoia, Musilová, Zuzana, Katusic, Zvonimir, Osama, Zyad, and Dauksa, Zygimantas
Published: 2024
Full Text: View/download PDF

42. Inhibition of G protein-coupled receptor 68 using homoharringtonine attenuates chronic kidney disease-associated cardiac impairment

Author: Yoshida, Yuya, Fukuoka, Kohei, Sakugawa, Miyu, Kurogi, Masayuki, Hamamura, Kengo, Hamasaki, Keika, Tsurusaki, Fumiaki, Sotono, Kurumi, Nishi, Takumi, Fukuda, Taiki, Kumamoto, Taisei, Oyama, Kosuke, Ogino, Takashi, Tsuruta, Akito, Mayanagi, Kouta, Yamashita, Tomohiro, Fuchino, Hiroyuki, Kawahara, Nobuo, Yoshimatsu, Kayo, Kawakami, Hitomi, Koyanagi, Satoru, Matsunaga, Naoya, and Ohdo, Shigehiro
Published: 2024
Full Text: View/download PDF

43. The spatial and temporal characterization of type IV creep fracture in notched specimen of modified 9Cr–1Mo steel

Author: Tsuruta, H., Toda, H., Hirayama, K., Shimizu, K., Fujihara, H., Takeuchi, A., and Uesugi, M.
Published: 2024
Full Text: View/download PDF

44. Hidden correlation between rheological dynamics and crack formation in water-based slurry

Author: Nakajima, Hideaki, Matsumoto, Naoyuki, Ogura, Toshihiko, Kondo, Naoki, Mimura, Ken-ichi, Tanaka, Shinji, Tsuruta, Akihiro, Watanabe, Ryota, Oishi, Akihiro, Usukawa, Ryutaro, Kobashi, Kazufumi, and Okazaki, Toshiya
Published: 2024
Full Text: View/download PDF

45. Genetic architecture and accuracy of predicted genomic breeding values for sea lice resistance in the St John River aquaculture strain of North American Atlantic salmon

Author: Vallejo, Roger L., Pietrak, Michael R., Milligan, Melissa M., Gao, Guangtu, Tsuruta, Shogo, Fragomeni, Breno O., Long, Roseanna L., Peterson, Brian C., and Palti, Yniv
Published: 2024
Full Text: View/download PDF

46. The effect of physical collateral and personal guarantees on business startups

Author: Honjo, Yuji, Ono, Arito, and Tsuruta, Daisuke
Published: 2024
Full Text: View/download PDF

47. Genetic correlations of direct and indirect genetic components of social dominance with fitness and morphology traits in cattle

Author: Tuliozi, Beniamino, Mantovani, Roberto, Schoepf, Ivana, Tsuruta, Shogo, Mancin, Enrico, and Sartori, Cristina
Published: 2023
Full Text: View/download PDF

48. Incidence and causative agent distribution of viral-induced paediatric asthma exacerbations under strict infection control measures: a single-centre retrospective study in Japan

Author: Sasada, Tsuyoshi, Hayashi, Ken, Okafuji, Ikuo, Miyakoshi, Chisato, and Tsuruta, Satoru
Published: 2023
Full Text: View/download PDF

49. Spontaneous orientation polarization of flavonoids

Author: Akaike, Kouki, Hosokai, Takuya, Ono, Yutaro, Tsuruta, Ryohei, and Yamada, Yoichi
Published: 2023
Full Text: View/download PDF

50. Using social interaction models for genetic analysis of skin damage in gilts

Author: Leite, Natália Galoro, Knol, Egbert, Tsuruta, Shogo, Nuphaus, Stefanie, Vogelzang, Roos, and Lourenco, Daniela
Published: 2023
Full Text: View/download PDF

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Region

Database

Publisher

24,657 results on '"A. Tsuruta"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources