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25,180 results on '"Cuellar A"'

1. The Prosecutor's Fallacy and Expert Testimony: A Modern Take Using Likelihood Ratios

Author

Cuellar, Maria

Subjects
Statistics - Applications
Abstract

Forensic examiners and attorneys need to know how to express evidence in favor or against a prosecutor's hypothesis in a way that avoids the prosecutor's fallacy and follows the modern reporting standards for forensic evidence. This article delves into the inherent conflict between legal and scientific principles, exacerbated by the prevalence of alternative facts in contemporary discourse. Courts grapple with contradictory expert testimonies, leading to a surge in erroneous rulings based on flawed amicus briefs and testimonies, notably the persistent prosecutor's fallacy. The piece underscores the necessity for legal practitioners to navigate this fallacy within the modern forensic science framework, emphasizing the importance of reporting likelihood ratios (LRs) over posterior probabilities. Recognizing the challenge of lay comprehension of LRs, the article calls for updated recommendations to mitigate the prosecutor's fallacy. Its contribution lies in providing a detailed analysis of the fallacy using LRs and advocating for a sound interpretation of evidence. Illustrated through a modified real case, this article serves as a valuable guide for legal professionals, offering insights into avoiding fallacious reasoning in forensic evidence assessment.

Published
2025

2. Exploring quasar evolution with proximate molecular absorbers: Insights from the kinematics of highly ionized nitrogen

Author

Cuellar, R., Noterdaeme, P., Balashev, S., López, S., D'Odorico, V., and Krogager, J. -K.

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

We investigate the presence and kinematics of NV absorption proximate to high redshift quasars selected upon the presence of strong $H_{2}$ and HI absorption at the quasar redshift. Our spectroscopic observations with X-shooter at the VLT reveal a 70% detection rate of NV (9 of 13 quasars with 2.5 < z < 3.3), remarkably higher than the 10% detection rate in intervening DLA systems and the 30% rate observed within a few thousand km/s of the source in the general quasar population. While many NV components lie within the velocity range of the neutral gas, the kinematic profiles of high-ionization species appear decoupled from those of low-ionization species, with the former extending over much larger velocity ranges, particularly towards bluer velocities. We also observe significant variations in the NV/SiIV, which we attribute to varying ionization conditions, with a velocity-dependent trend: blueshifted NV components systematically exhibit higher ionization parameters compared to those near the quasar's systemic redshift. Furthermore, the most redshifted systems relative to the quasar show no evidence of NV absorption. The results suggest that proximate $H_{2}$ absorption systems select critical stages of quasar evolution, during which the quasar remains embedded in a rich molecular environment. Redshifted systems trace infalling gas, potentially associated with mergers, preceding the onset of outflows. Such outflows may reach or even carry out neutral and molecular gas.This latter stage would correspond to proximate $H_{2}$ systems located around or blueshifted relative to the quasar's systemic z. Finally, the only case in our sample featuring highly blueshifted neutral gas shows no evidence of an association with the quasar.Our findings highlight the need to account for the ionization state when defining a velocity threshold to distinguish quasar-associated systems from intervening., Comment: 20 pages, 22 figures, accepted for publication in A&A

Published
2025

3. How Often are Fingerprints Repeated in the Population? Expanding on Evidence from AI With the Birthday Paradox

Author

Gold, Jackson and Cuellar, Maria

Subjects
Statistics - Applications
Abstract

The assumption of fingerprint uniqueness is foundational in forensic science and central to criminal identification practices. However, empirical evidence supporting this assumption is limited, and recent findings from artificial intelligence challenge its validity. This paper uses a probabilistic approach to examine whether fingerprint patterns remain unique across large populations. We do this by drawing on Francis Galton's 1892 argument and applying the birthday paradox to estimate the probability of fingerprint repetition. Our findings indicate that there is a 50\% probability of coincidental fingerprint matches in populations of 14 million, rising to near certainty at 40 million, which contradicts the traditional view of fingerprints as unique identifiers. We introduce the concept of a Random Overlap Probability (ROP) to assess the likelihood of fingerprint repetition within specific population sizes. We recommend a shift toward probabilistic models for fingerprint comparisons that account for the likelihood of pattern repetition. This approach could strengthen the reliability and fairness of fingerprint comparisons in the criminal justice system.

Published
2024

4. Statistical Issues in the Diagnosis of Shaken Baby Syndrome/Abusive Head Trauma

Author

Cuellar, Maria

Subjects
Statistics - Applications
Abstract

The diagnosis of Shaken Baby Syndrome/Abusive Head Trauma (SBS/AHT) is fraught with controversy due to critical statistical deficiencies in the data underpinning these diagnoses. This paper examines the reliability and scientific foundation of SBS/AHT through a statistical lens, highlighting the lack of independently verified ground truth, contextual biases, data circularity, and diagnostic heterogeneity. These issues render current methodologies inadequate and complicate evaluations of diagnostic accuracy, particularly when legal determinations are integrated into medical assessments. Without empirical evidence validating the specificity of symptoms like subdural hematoma, retinal hemorrhage, and brain swelling, the diagnosis remains untested and its foundational validity unproven. We recommend that physicians focus on reporting observed clinical signs and avoid making determinations of abuse, which should remain within the legal domain. Addressing these challenges requires comprehensive, high-quality data collection encompassing contextual, medical, and legal information to evaluate the accuracy, repeatability, and reproducibility of SBS/AHT diagnoses. These efforts are essential to protect vulnerable children while ensuring fairness and accuracy in legal proceedings involving allegations of abuse.

Published
2024

5. The Overlooked Risks of Non-Validated Exclusions

Author

Cuellar, Maria

Subjects
Statistics - Applications
Abstract

Despite calls for reform to enhance forensic science, insufficient attention has been paid to the potential errors arising from exclusions. Often based on intuitive judgment rather than empirical evidence, exclusions can lead to significant errors. Additionally, exclusions can imply inclusions, especially when ancillary information narrows the pool of suspects in an investigation. Without empirical evidence demonstrating that class characteristics alone can consistently be used for comparison with high repeatability, replicability, and accuracy, these characteristics should not be employed for exclusions. Errors in exclusions require the same scrutiny as errors in inclusions. Validity studies and reports of the accuracy of a forensic method must include both false positive rates and false negative rates, since only focusing on false positive rates can lead, and has led, to errors and subsequent miscarriages of justice.

Published
2024

6. Shaping AI's Impact on Billions of Lives

Author

Cuéllar, Mariano-Florentino, Dean, Jeff, Doshi-Velez, Finale, Hennessy, John, Konwinski, Andy, Koyejo, Sanmi, Moiloa, Pelonomi, Pierson, Emma, and Patterson, David

Subjects
Computer Science - Artificial Intelligence, Computer Science - Computers and Society, Computer Science - Emerging Technologies, Computer Science - Machine Learning
Abstract

Artificial Intelligence (AI), like any transformative technology, has the potential to be a double-edged sword, leading either toward significant advancements or detrimental outcomes for society as a whole. As is often the case when it comes to widely-used technologies in market economies (e.g., cars and semiconductor chips), commercial interest tends to be the predominant guiding factor. The AI community is at risk of becoming polarized to either take a laissez-faire attitude toward AI development, or to call for government overregulation. Between these two poles we argue for the community of AI practitioners to consciously and proactively work for the common good. This paper offers a blueprint for a new type of innovation infrastructure including 18 concrete milestones to guide AI research in that direction. Our view is that we are still in the early days of practical AI, and focused efforts by practitioners, policymakers, and other stakeholders can still maximize the upsides of AI and minimize its downsides. We talked to luminaries such as recent Nobelist John Jumper on science, President Barack Obama on governance, former UN Ambassador and former National Security Advisor Susan Rice on security, philanthropist Eric Schmidt on several topics, and science fiction novelist Neal Stephenson on entertainment. This ongoing dialogue and collaborative effort has produced a comprehensive, realistic view of what the actual impact of AI could be, from a diverse assembly of thinkers with deep understanding of this technology and these domains. From these exchanges, five recurring guidelines emerged, which form the cornerstone of a framework for beginning to harness AI in service of the public good. They not only guide our efforts in discovery but also shape our approach to deploying this transformative technology responsibly and ethically.

Published
2024

7. AI-Driven Agents with Prompts Designed for High Agreeableness Increase the Likelihood of Being Mistaken for a Human in the Turing Test

Author

León-Domínguez, U., Flores-Flores, E. D., García-Jasso, A. J., Gómez-Cuellar, M. K., Torres-Sánchez, D., and Basora-Marimon, A.

Subjects
Computer Science - Artificial Intelligence
Abstract

Large Language Models based on transformer algorithms have revolutionized Artificial Intelligence by enabling verbal interaction with machines akin to human conversation. These AI agents have surpassed the Turing Test, achieving confusion rates up to 50%. However, challenges persist, especially with the advent of robots and the need to humanize machines for improved Human-AI collaboration. In this experiment, three GPT agents with varying levels of agreeableness (disagreeable, neutral, agreeable) based on the Big Five Inventory were tested in a Turing Test. All exceeded a 50% confusion rate, with the highly agreeable AI agent surpassing 60%. This agent was also recognized as exhibiting the most human-like traits. Various explanations in the literature address why these GPT agents were perceived as human, including psychological frameworks for understanding anthropomorphism. These findings highlight the importance of personality engineering as an emerging discipline in artificial intelligence, calling for collaboration with psychology to develop ergonomic psychological models that enhance system adaptability in collaborative activities., Comment: 25 pages, 2 figures, 7 tables

Published
2024

8. Measuring time-resolved heat transfer fluctuations on a heated-thin foil in a turbulent channel airflow

Author

Cuéllar, Antonio, Amico, Enrico, Serpieri, Jacopo, Cafiero, Gioacchino, Baars, Woutijn J, Discetti, Stefano, and Ianiro, Andrea

Subjects
Physics - Fluid Dynamics
Abstract

We present an experimental setup to perform time-resolved convective heat transfer measurements in a turbulent channel flow with air as the working fluid. We employ a heated thin foil coupled with high-speed infrared thermography. The measurement technique is challenged by the thermal inertia of the foil, the high frequency of turbulent fluctuations, and the measurement noise of the infrared camera. We discuss in detail the advantages and drawbacks of all the design choices that were made, thereby providing a successful implementation strategy to obtain high-quality data. This experimental approach could be useful for experimental studies employing wall-based measurements of turbulence, such as flow control applications in wall-bounded turbulence.

Published
2024

9. Transverse clues on the kpc-scale structure of the circumgalactic medium as traced by C IV absorption

Author

Lopez, S., Afruni, A., Zamora, D., Tejos, N., Ledoux, C., Hernandez, J., Berg, T. A. M., Cortes, H., Urbina, F., Johnston, E. J., Barrientos, L. F., Bayliss, M. B., Cuellar, R., Krogager, J. K., Noterdaeme, P., and Solimano, M.

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

We present VLT/MUSE integral-field spectroscopy ($R\approx 1\,800$) of four giant gravitational arcs exhibiting strong C IV absorption at 8 intervening redshifts, $z_{abs}\approx 2.0$--$2.5$. We detect C IV absorption in a total of 222 adjacent and seeing-uncorrelated sightlines, whose spectra sample beams of ("de-lensed") linear size $\approx 1$ kpc. Our data show that (1) absorption velocities cluster at all probed transverse scales, $\Delta r_\perp\approx0$--$15$ kpc, depending on system; (2) the (transverse) velocity dispersion never exceeds the mean (line-of-sight) absorption spread; and (3) the (transverse) velocity autocorrelation function does not resolve kinematic patterns at the above spatial scales, but its velocity projection, $\xi^{arc}(\Delta v)$, exhibits a similar shape to the known two-point correlation function toward quasars, $\xi^{QSO}(\Delta v)$. An empirical kinematic model suggests that these results are a natural consequence of wide-beam observations of an unresolved clumpy medium. Our model recovers both the underlying velocity dispersion of the clumps ($70$--$170$ \kms) and the mean number of clumps per unit area ($2$--$13$ kpc$^{-2}$). The latter constrains the projected mean inter-clump distance to within $\approx0.3$--$0.8$ kpc, which we argue is a measure of clump size for near-unity covering fraction. The model is also able to predict $\xi^{arc}(\Delta v)$ from $\xi^{QSO}(\Delta v)$, suggesting that the strong systems that shape the former and the line-of-sight velocity components that define the latter trace the same kinematic population. Consequently, the clumps must possess an internal density structure that generates both weak and strong components. We discuss how our interpretation is consistent with previous observations using background galaxies and multiple quasars., Comment: Accepted for publication in A&A

Published
2024
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10. Automation from the Worker's Perspective

Author

Armstrong, Ben, Chen, Valerie K., Cuellar, Alex, Forsey-Smerek, Alexandra, and Shah, Julie A.

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Robotics
Abstract

Common narratives about automation often pit new technologies against workers. The introduction of advanced machine tools, industrial robots, and AI have all been met with concern that technological progress will mean fewer jobs. However, workers themselves offer a more optimistic, nuanced perspective. Drawing on a far-reaching 2024 survey of more than 9,000 workers across nine countries, this paper finds that more workers report potential benefits from new technologies like robots and AI for their safety and comfort at work, their pay, and their autonomy on the job than report potential costs. Workers with jobs that ask them to solve complex problems, workers who feel valued by their employers, and workers who are motivated to move up in their careers are all more likely to see new technologies as beneficial. In contrast to assumptions in previous research, more formal education is in some cases associated with more negative attitudes toward automation and its impact on work. In an experimental setting, the prospect of financial incentives for workers improve their perceptions of automation technologies, whereas the prospect of increased input about how new technologies are used does not have a significant effect on workers' attitudes toward automation.

Published
2024

11. Some effects of limited wall-sensor availability on flow estimation with 3D-GANs

Author

Cuéllar, Antonio, Ianiro, Andrea, and Discetti, Stefano

Subjects
Physics - Fluid Dynamics
Abstract

In this work we assess the impact of the limited availability of wall-embedded sensors on the full 3D estimation of the flow field in a turbulent channel with Re{\tau} = 200. The estimation technique is based on a 3D generative adversarial network (3D-GAN). We recently demonstrated that 3D-GANs are capable of estimating fields with good accuracy by employing fully-resolved wall quantities (pressure and streamwise/spanwise wall shear stress on a grid with DNS resolution). However, the practical implementation in an experimental setting is challenging due to the large number of sensors required. In this work, we aim to estimate the flow fields with substantially fewer sensors. The impact of the reduction of the number of sensors on the quality of the flow reconstruction is assessed in terms of accuracy degradation and spectral length-scales involved. It is found that the accuracy degradation is mainly due to the spatial undersampling of scales, rather than the reduction of the number of sensors per se. We explore the performance of the estimator in case only one wall quantity is available. When a large number of sensors is available, pressure measurements provide more accurate flow field estimations. Conversely, the elongated patterns of the streamwise wall shear stress make this quantity the most suitable when only few sensors are available. As a further step towards a real application, the effect of sensor noise is also quantified. It is shown that configurations with fewer sensors are less sensitive to measurement noise., Comment: in Theoretical and Computational Fluid Dynamics (2024)

Published
2024
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12. Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements

Author

Cuéllar, Antonio, Güemes, Alejandro, Ianiro, Andrea, Flores, Óscar, Vinuesa, Ricardo, and Discetti, Stefano

Subjects
Physics - Fluid Dynamics
Abstract

Different types of neural networks have been used to solve the flow sensing problem in turbulent flows, namely to estimate velocity in wall-parallel planes from wall measurements. Generative adversarial networks (GANs) are among the most promising methodologies, due to their more accurate estimations and better perceptual quality. This work tackles this flow sensing problem in the vicinity of the wall, addressing for the first time the reconstruction of the entire three-dimensional (3-D) field with a single network, i.e. a 3-D GAN. With this methodology, a single training and prediction process overcomes the limitation presented by the former approaches based on the independent estimation of wall-parallel planes. The network is capable of estimating the 3-D flow field with a level of error at each wall-normal distance comparable to that reported from wall-parallel plane estimations and at a lower training cost in terms of computational resources. The direct full 3-D reconstruction also unveils a direct interpretation in terms of coherent structures. It is shown that the accuracy of the network depends directly on the wall footprint of each individual turbulent structure. It is observed that wall-attached structures are predicted more accurately than wall-detached ones, especially at larger distances from the wall. Among wall-attached structures, smaller sweeps are reconstructed better than small ejections, while large ejections are reconstructed better than large sweeps as a consequence of their more intense footprint.

Published
2024
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13. Making Equity Count: An Initiative for Equitable General Education Assessment

Author

Reem Jaafar, Milena Cuellar, and Justin Rogers-Cooper

Abstract

LaGuardia Community College in Queens, New York is known for its leadership in assessment practices aimed at improving teaching and learning. Its practices to improve student outcomes include remedial math and composition pathways reforms and establishing signature general education core competencies and communication abilities. Combined together, such practices have helped double the graduation rate over a decade. Until recently, however, assessment data had not been disaggregated for different student demographics. In this article, we describe how we transformed our traditional means of analyzing outcomes data toward one that utilized an equity-driven index for two cohorts of students across major racial and ethnic populations. We examined the data for representational equity and equitable performance. In a key finding, we discovered our ongoing assessment practices do not reflect our student population on both counts, especially as a designated Hispanic Serving Institution. Further, we found other under- and over-representation of racial populations in our general education assessment samples. We conclude by suggesting further areas of inquiry with equity-based assessment and note ongoing challenges to systematizing this approach.

Published
2024

17. Genomics yields biological and phenotypic insights into bipolar disorder

Author

O’Connell, Kevin S., Koromina, Maria, van der Veen, Tracey, Boltz, Toni, David, Friederike S., Yang, Jessica Mei Kay, Lin, Keng-Han, Wang, Xin, Coleman, Jonathan R. I., Mitchell, Brittany L., McGrouther, Caroline C., Rangan, Aaditya V., Lind, Penelope A., Koch, Elise, Harder, Arvid, Parker, Nadine, Bendl, Jaroslav, Adorjan, Kristina, Agerbo, Esben, Albani, Diego, Alemany, Silvia, Alliey-Rodriguez, Ney, Als, Thomas D., Andlauer, Till F. M., Antoniou, Anastasia, Ask, Helga, Bass, Nicholas, Bauer, Michael, Beins, Eva C., Bigdeli, Tim B., Pedersen, Carsten Bøcker, Boks, Marco P., Børte, Sigrid, Bosch, Rosa, Brum, Murielle, Brumpton, Ben M., Brunkhorst-Kanaan, Nathalie, Budde, Monika, Bybjerg-Grauholm, Jonas, Byerley, William, Cabana-Domínguez, Judit, Cairns, Murray J., Carpiniello, Bernardo, Casas, Miquel, Cervantes, Pablo, Chatzinakos, Chris, Chen, Hsi-Chung, Clarence, Tereza, Clarke, Toni-Kim, Claus, Isabelle, Coombes, Brandon, Corfield, Elizabeth C., Cruceanu, Cristiana, Cuellar-Barboza, Alfredo, Czerski, Piotr M., Dafnas, Konstantinos, Dale, Anders M., Dalkner, Nina, Degenhardt, Franziska, DePaulo, J. Raymond, Djurovic, Srdjan, Drange, Ole Kristian, Escott-Price, Valentina, Fanous, Ayman H., Fellendorf, Frederike T., Ferrier, I. Nicol, Forty, Liz, Frank, Josef, Frei, Oleksandr, Freimer, Nelson B., Fullard, John F., Garnham, Julie, Gizer, Ian R., Gordon, Scott D., Gordon-Smith, Katherine, Greenwood, Tiffany A., Grove, Jakob, Guzman-Parra, José, Ha, Tae Hyon, Hahn, Tim, Haraldsson, Magnus, Hautzinger, Martin, Havdahl, Alexandra, Heilbronner, Urs, Hellgren, Dennis, Herms, Stefan, Hickie, Ian B., Hoffmann, Per, Holmans, Peter A., Huang, Ming-Chyi, Ikeda, Masashi, Jamain, Stéphane, Johnson, Jessica S., Jonsson, Lina, Kalman, Janos L., Kamatani, Yoichiro, Kennedy, James L., Kim, Euitae, Kim, Jaeyoung, Kittel-Schneider, Sarah, Knowles, James A., Kogevinas, Manolis, Kranz, Thorsten M., Krebs, Kristi, Kushner, Steven A., Lavebratt, Catharina, Lawrence, Jacob, Leber, Markus, Lee, Heon-Jeong, Liao, Calwing, Lucae, Susanne, Lundberg, Martin, MacIntyre, Donald J., Maier, Wolfgang, Maihofer, Adam X., Malaspina, Dolores, Manchia, Mirko, Maratou, Eirini, Martinsson, Lina, Mattheisen, Manuel, McGregor, Nathaniel W., McInnis, Melvin G., McKay, James D., Medeiros, Helena, Meyer-Lindenberg, Andreas, Millischer, Vincent, Morris, Derek W., Moutsatsou, Paraskevi, Mühleisen, Thomas W., O’Donovan, Claire, Olsen, Catherine M., Panagiotaropoulou, Georgia, Papiol, Sergi, Pardiñas, Antonio F., Park, Hye Youn, Perry, Amy, Pfennig, Andrea, Pisanu, Claudia, Potash, James B., Quested, Digby, Rapaport, Mark H., Regeer, Eline J., Rice, John P., Rivera, Margarita, Schulte, Eva C., Senner, Fanny, Shadrin, Alexey, Shilling, Paul D., Sigurdsson, Engilbert, Sindermann, Lisa, Sirignano, Lea, Siskind, Dan, Slaney, Claire, Sloofman, Laura G., Smeland, Olav B., Smith, Daniel J., Sobell, Janet L., Soler Artigas, Maria, Stein, Dan J., Stein, Frederike, Su, Mei-Hsin, Sung, Heejong, Świątkowska, Beata, Terao, Chikashi, Tesfaye, Markos, Tesli, Martin, Thorgeirsson, Thorgeir E., Thorp, Jackson G., Toma, Claudio, Tondo, Leonardo, Tooney, Paul A., Tsai, Shih-Jen, Tsermpini, Evangelia Eirini, Vawter, Marquis P., Vedder, Helmut, Vreeker, Annabel, Walters, James T. R., Winsvold, Bendik S., Witt, Stephanie H., Won, Hong-Hee, Ye, Robert, Young, Allan H., Zandi, Peter P., Zillich, Lea, Adolfsson, Rolf, Alda, Martin, Alfredsson, Lars, Backlund, Lena, Baune, Bernhard T., Bellivier, Frank, Bengesser, Susanne, Berrettini, Wade H., Biernacka, Joanna M., Boehnke, Michael, Børglum, Anders D., Breen, Gerome, Carr, Vaughan J., Catts, Stanley, Cichon, Sven, Corvin, Aiden, Craddock, Nicholas, Dannlowski, Udo, Dikeos, Dimitris, Etain, Bruno, Ferentinos, Panagiotis, Frye, Mark, Fullerton, Janice M., Gawlik, Micha, Gershon, Elliot S., Goes, Fernando S., Green, Melissa J., Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Henskens, Frans A., Hjerling-Leffler, Jens, Hougaard, David M., Hveem, Kristian, Iwata, Nakao, Jones, Ian, Jones, Lisa A., Kahn, René S., Kelsoe, John R., Kircher, Tilo, Kirov, George, Kuo, Po-Hsiu, Landén, Mikael, Leboyer, Marion, Li, Qingqin S., Lissowska, Jolanta, Lochner, Christine, Loughland, Carmel, Luykx, Jurjen J., Martin, Nicholas G., Mathews, Carol A., Mayoral, Fermin, McElroy, Susan L., McIntosh, Andrew M., McMahon, Francis J., Medland, Sarah E., Melle, Ingrid, Milani, Lili, Mitchell, Philip B., Morken, Gunnar, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Myers, Richard M., Myung, Woojae, Neale, Benjamin M., Nievergelt, Caroline M., Nordentoft, Merete, Nöthen, Markus M., Nurnberger, John I., O’Donovan, Michael C., Oedegaard, Ketil J., Olsson, Tomas, Owen, Michael J., Paciga, Sara A., Pantelis, Christos, Pato, Carlos N., Pato, Michele T., Patrinos, George P., Pawlak, Joanna M., Ramos-Quiroga, Josep Antoni, Reif, Andreas, Reininghaus, Eva Z., Ribasés, Marta, Rietschel, Marcella, Ripke, Stephan, Rouleau, Guy A., Roussos, Panos, Saito, Takeo, Schall, Ulrich, Schalling, Martin, Schofield, Peter R., Schulze, Thomas G., Scott, Laura J., Scott, Rodney J., Serretti, Alessandro, Smoller, Jordan W., Squassina, Alessio, Stahl, Eli A., Stefansson, Hreinn, Stefansson, Kari, Stordal, Eystein, Streit, Fabian, Sullivan, Patrick F., Turecki, Gustavo, Vaaler, Arne E., Vieta, Eduard, Vincent, John B., Waldman, Irwin D., Weickert, Cynthia S., Weickert, Thomas W., Werge, Thomas, Whiteman, David C., Zwart, John-Anker, Edenberg, Howard J., McQuillin, Andrew, Forstner, Andreas J., Mullins, Niamh, Di Florio, Arianna, Ophoff, Roel A., and Andreassen, Ole A.

Published
2025
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20. The Impact of Postprocedural Anticoagulant Use in Patients Undergoing Woven EndoBridge: A Multicenter Propensity Score-Matched Study

Author

Musmar, Basel, Salim, Hamza Adel, Roy, Joanna M., Adeeb, Nimer, Fuleihan, Antony A., Atallah, Elias, Sizdahkhani, Saman, Koduri, Sravanthi, Karadimas, Spyridon, Baba, Bachar El, Howard, Brian M., Grossberg, Jonathan A., Scott, Kyle W., Burkhardt, Jan-Karl, Srinivasan, Visish M., Erazu, Fernanda, Hanel, Ricardo A., Amllay, Abdelaziz, Matouk, Charles, MacNeil, Andrew, Chalouhi, Nohra, Gomez-Paz, Santiago, Grandhi, Ramesh, Jaikumar, Vinay, Levy, Elad, Siddiqui, Adnan, Klaiman, Max, Delgado, Josser, Hoffman, Haydn, Arthur, Adam, Hasan, David M., Notarianni, Christina, Cuellar, Hugo H., Guthikonda, Bharat, Morcos, Jacques, Tjoumakaris, Stavropoula I., Gooch, Michael Reid, Rosenwasser, Robert H., and Jabbour, Pascal

Published
2024
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21. Comparative Efficacy of Flow Diverter Devices in the Treatment of Carotid Sidewall Intracranial Aneurysms: a Retrospective, Multicenter Study

Author

Dmytriw, Adam A., Salim, Hamza Adel, Musmar, Basel, Cancelliere, Nicole M., Griessenauer, Christoph J., Regenhardt, Robert W., Jones, Jesse, Tutino, Vincent, Hasan, Zuha, Limbucci, Nicola, Lay, Sovann V., Spears, Julian, Rabinov, James D., Harrigan, Mark R., Siddiqui, Adnan H., Levy, Elad I., Stapleton, Christopher J., Renieri, Leonardo, Cognard, Christophe, Shaikh, Hamza, Kühn, Anna Luisa, Möhlenbruch, Markus A., Tjoumakaris, Stavropoula I., Jabbour, Pascal, Taussky, Philipp, Settecase, Fabio, Heran, Manraj K. S., Nguyen, Anh, Volders, David, Harker, Pablo, Devia, Diego A., Puri, Ajit S., Psychogios, Marios, Puentes, Juan C., Leone, Giuseppe, Buono, Giuseppe, Tarantino, Margherita, Muto, Mario, Briganti, Francesco, Dalal, Shamsher, Gontu, Vamsi, Alcedo Guardia, Rodolfo E., Vicenty-Padilla, Juan C., Brouwer, Patrick, Schmidt, Matthias H., Schirmer, Clemens, Pickett, Gwynedd E., Andersson, Tommy, Söderman, Michael, Marotta, Thomas R., Cuellar-Saenz, Hugo, Thomas, Ajith J., Patel, Aman B., Mendes Pereira, Vitor, and Adeeb, Nimer

Published
2024
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22. Mexican Clinical Practice Guidelines for Adult Overweight and Obesity Management

Author

Chávez-Manzanera, Emma A., Vera-Zertuche, Juan M., Kaufer-Horwitz, Martha, Vázquez-Velázquez, Verónica, Flores-Lázaro, José R., Mireles-Zavala, Leonor, Calzada-León, Raúl, Garnica-Cuellar, Juan C., Sánchez-Muñoz, Verónica, Ramírez-Butanda, Eduardo, Hernández-González, Ricardo, Vargas-Martínez, María A., Laviada-Molina, Hugo, Violante-Ortíz, Rafael, Esquivias-Zavala, Héctor, García-García, Eduardo, Lavalle-González, Fernando J., Mancillas-Adame, Leonardo, López-Alvarenga, Juan C., Pérez-Hernández, Juan F., Soto-Fuentes, Erika V., Soriano-Cortés, Reina R., Goicoechea-Turcott, Eduardo W., Magallanes-Díaz, Gerardo, Herrera-Hernández, Miguel F., Barquera-Cervera, Simón, Vargas-Contreras, Edith, Díaz-Wionczek, Cybele B., Salmon, Morgan, Jesús, Dinorah Ramírez-De, Villaseñor-Díaz, Juan P., Peña, Javiera, Ramos-Rojas, José, Ávila-Oliver, Camila, Rada, Gabriel, Hussey, Brad, and Salas, Ximena Ramos

Published
2024
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23. Outcomes with General Anesthesia Compared to Conscious Sedation for Endovascular Treatment of Medium Vessel Occlusions: Results of an International Multicentric Study

Author

Radu, Răzvan Alexandru, Costalat, Vincent, Romoli, Michele, Musmar, Basel, Siegler, James E., Ghozy, Sherief, Khalife, Jane, Salim, Hamza, Shaikh, Hamza, Adeeb, Nimer, Cuellar-Saenz, Hugo H., Thomas, Ajith J., Kadirvel, Ramanathan, Abdalkader, Mohamad, Klein, Piers, Nguyen, Thanh N., Heit, Jeremy J., Regenhardt, Robert W., Bernstock, Joshua D., Patel, Aman B., Rabinov, James D., Stapleton, Christopher J., Cancelliere, Nicole M., Marotta, Thomas R., Mendes Pereira, Vitor, El Naamani, Kareem, Amllay, Abdelaziz, Tjoumakaris, Stavropoula I., Jabbour, Pascal, Meyer, Lukas, Fiehler, Jens, Faizy, Tobias D., Guerreiro, Helena, Dusart, Anne, Bellante, Flavio, Forestier, Géraud, Rouchaud, Aymeric, Mounayer, Charbel, Kühn, Anna Luisa, Puri, Ajit S., Dyzmann, Christian, Kan, Peter T., Colasurdo, Marco, Marnat, Gaultier, Berge, Jérôme, Barreau, Xavier, Sibon, Igor, Nedelcu, Simona, Henninger, Nils, Ota, Takahiro, Dofuku, Shogo, Yeo, Leonard L. L., Tan, Benjamin YQ, Gopinathan, Anil, Martinez-Gutierrez, Juan Carlos, Salazar-Marioni, Sergio, Sheth, Sunil, Renieri, Leonardo, Capirossi, Carolina, Mowla, Ashkan, Chervak, Lina M., Vagal, Achala, Khandelwal, Priyank, Biswas, Arundhati, Clarençon, Frédéric, Elhorany, Mahmoud, Premat, Kevin, Valente, Iacopo, Pedicelli, Alessandro, Alexandre, Andrea M., Filipe, João Pedro, Varela, Ricardo, Quintero-Consuegra, Miguel, Gonzalez, Nestor R., YMD, Markus A., Jesser, Jessica, Weyland, Charlotte, ter Schiphorst, Adrien, Yedavalli, Vivek, Harker, Pablo, Aziz, Yasmin, Gory, Benjamin, Paul Stracke, Christian, Hecker, Constantin, Killer-Oberpfalzer, Monika, Griessenauer, Christoph J., Hsieh, Cheng-Yang, Liebeskind, David S., Tancredi, Illario, Fahed, Robert, Lubicz, Boris, Essibayi, Muhammed Amir, Baker, Amanda, Altschul, David, Scarcia, Luca, Kalsoum, Erwah, Dmytriw, Adam A., and Guenego, Adrien

Published
2024
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24. Deciphering Schizophrenia and Neurodegenerative Mechanisms Through Gene Coexpression Networks Modelling in L2/3 IT Neurons

Author

Iván, Navarro-Cuéllar Christian, Paredes, Omar, Magjarević, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Flores Cuautle, José de Jesús Agustín, editor, Benítez-Mata, Balam, editor, Reyes-Lagos, José Javier, editor, Hernandez Acosta, Humiko Yahaira, editor, Ames Lastra, Gerardo, editor, Zuñiga-Aguilar, Esmeralda, editor, Del Hierro-Gutierrez, Edgar, editor, and Salido-Ruiz, Ricardo Antonio, editor

Published
2025
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25. Pathways to Make Biochemistry Accessible by Applying Universal Design to the Creation of Novel Educational Materials

Author

Reynaga-Peña, Cristina Gehibie, López-Suero, Carolina del Carmen, Arévalo-Arguijo, Jonathan Ely, Gómez-Flores, Lilia, Magaña-Cruz, Eduardo, Garza-Vera, Luis Fernando, Cuellar-Reynaga, Daniel Alejandro, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Antona, Margherita, editor, Stephanidis, Constantine, editor, Gao, Qin, editor, and Zhou, Jia, editor

Published
2025
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26. Implementation of Classical Decision Trees in a Quantum Computing Paradigm

Author

Cuellar, M. P., Ruiz, L. G. B., Pegalajar, M. C., Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Quintián, Héctor, editor, Corchado, Emilio, editor, Troncoso Lora, Alicia, editor, Pérez García, Hilde, editor, Jove Pérez, Esteban, editor, Calvo Rolle, José Luis, editor, Martínez de Pisón, Francisco Javier, editor, García Bringas, Pablo, editor, Martínez Álvarez, Francisco, editor, Herrero, Álvaro, editor, and Fosci, Paolo, editor

Published
2025
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27. Mediated probabilities of causation

Author

Rubinstein, Max, Cuellar, Maria, and Malinsky, Daniel

Subjects
Statistics - Methodology
Abstract

We propose a set of causal estimands that we call the "mediated probabilities of causation." These estimands quantify the probabilities that an observed negative outcome was induced via a mediating pathway versus a direct pathway in a stylized setting involving a binary exposure or intervention, a single binary mediator, and a binary outcome. We outline a set of conditions sufficient to identify these effects given observed data, and propose a doubly-robust projection based estimation strategy that allows for the use of flexible non-parametric and machine learning methods for estimation. We argue that these effects may be more relevant than the probability of causation, particularly in settings where we observe both some negative outcome and negative mediating event, and we wish to distinguish between settings where the outcome was induced via the exposure inducing the mediator versus the exposure inducing the outcome directly. We motivate these estimands by discussing applications to legal and medical questions of causal attribution.

Published
2024

28. Methodological Problems in Every Black-Box Study of Forensic Firearm Comparisons

Author

Cuellar, Maria, Vanderplas, Susan, Luby, Amanda, and Rosenblum, Michael

Subjects
Statistics - Applications
Abstract

Reviews conducted by the National Academy of Sciences (2009) and the President's Council of Advisors on Science and Technology (2016) concluded that the field of forensic firearm comparisons has not been demonstrated to be scientifically valid. Scientific validity requires adequately designed studies of firearm examiner performance in terms of accuracy, repeatability, and reproducibility. Researchers have performed ``black-box'' studies with the goal of estimating these performance measures. As statisticians with expertise in experimental design, we conducted a literature search of such studies to date and then evaluated the design and statistical analysis methods used in each study. Our conclusion is that all studies in our literature search have methodological flaws that are so grave that they render the studies invalid, that is, incapable of establishing scientific validity of the field of firearms examination. Notably, error rates among firearms examiners, both collectively and individually, remain unknown. Therefore, statements about the common origin of bullets or cartridge cases that are based on examination of ``individual" characteristics do not have a scientific basis. We provide some recommendations for the design and analysis of future studies.

Published
2024

29. Incidence and clinical outcomes of perforations during mechanical thrombectomy for medium vessel occlusion in acute ischemic stroke: A retrospective, multicenter, and multinational study.

Author

Dmytriw, Adam, Musmar, Basel, Salim, Hamza, Ghozy, Sherief, Siegler, James, Kobeissi, Hassan, Shaikh, Hamza, Khalife, Jane, Abdalkader, Mohamad, Klein, Piers, Nguyen, Thanh, Heit, Jeremy, Regenhardt, Robert, Cancelliere, Nicole, Bernstock, Joshua, Naamani, Kareem, Amllay, Abdelaziz, Meyer, Lukas, Dusart, Anne, Bellante, Flavio, Forestier, Géraud, Rouchaud, Aymeric, Saleme, Suzana, Mounayer, Charbel, Fiehler, Jens, Kühn, Anna, Puri, Ajit, Dyzmann, Christian, Kan, Peter, Colasurdo, Marco, Marnat, Gaultier, Berge, Jérôme, Barreau, Xavier, Sibon, Igor, Nedelcu, Simona, Henninger, Nils, Marotta, Thomas, Stapleton, Christopher, Rabinov, James, Ota, Takahiro, Dofuku, Shogo, Yeo, Leonard, Tan, Benjamin, Gopinathan, Anil, Martinez-Gutierrez, Juan, Salazar-Marioni, Sergio, Sheth, Sunil, Renieri, Leonardo, Capirossi, Carolina, Mowla, Ashkan, Chervak, Lina, Vagal, Achala, Adeeb, Nimer, Cuellar-Saenz, Hugo, Tjoumakaris, Stavropoula, Jabbour, Pascal, Khandelwal, Priyank, Biswas, Arundhati, Clarençon, Frédéric, Elhorany, Mahmoud, Premat, Kevin, Valente, Iacopo, Pedicelli, Alessandro, Filipe, João, Varela, Ricardo, Quintero-Consuegra, Miguel, Gonzalez, Nestor, Möhlenbruch, Markus, Jesser, Jessica, Costalat, Vincent, Ter Schiphorst, Adrien, Yedavalli, Vivek, Harker, Pablo, Aziz, Yasmin, Gory, Benjamin, Stracke, Christian, Hecker, Constantin, Kadirvel, Ramanathan, Killer-Oberpfalzer, Monika, Griessenauer, Christoph, Thomas, Ajith, Hsieh, Cheng-Yang, Liebeskind, David, Alexandru Radu, Răzvan, Alexandre, Andrea, Tancredi, Illario, Faizy, Tobias, Fahed, Robert, Weyland, Charlotte, Lubicz, Boris, Patel, Aman, Pereira, Vitor, and Guenego, Adrien

Subjects
AIS, MT, MeVo, Stroke, mechanical thrombectomy, perforation, Humans, Ischemic Stroke, Male, Retrospective Studies, Female, Aged, Middle Aged, Incidence, Thrombectomy, Treatment Outcome, Aged, 80 and over
Abstract

BACKGROUND: Mechanical thrombectomy (MT) has revolutionized the treatment of acute ischemic stroke (AIS) due to large vessel occlusion (LVO), but its efficacy and safety in medium vessel occlusion (MeVO) remain less explored. This multicenter, retrospective study aims to investigate the incidence and clinical outcomes of vessel perforations (confirmed by extravasation during an angiographic series) during MT for AIS caused by MeVO. METHODS: Data were collected from 37 academic centers across North America, Asia, and Europe between September 2017 and July 2021. A total of 1373 AIS patients with MeVO underwent MT. Baseline characteristics, procedural details, and clinical outcomes were analyzed. RESULTS: The incidence of vessel perforation was 4.8% (66/1373). Notably, our analysis indicates variations in perforation rates across different arterial segments: 8.9% in M3 segments, 4.3% in M2 segments, and 8.3% in A2 segments (p = 0.612). Patients with perforation had significantly worse outcomes, with lower rates of favorable angiographic outcomes (TICI 2c-3: 23% vs 58.9%, p

Published
2024

30. A Qualitative Study on the Socialization and Transitions of Early College High School Graduates in Texas

Author

Stephanie Cuellar and Taryn Ozuna Allen

Abstract

Early College High Schools (ECs) are growing in popularity as an affordable avenue for students to obtain up to an associate's degree while in high school in Texas. Using Merton's (1966) Anticipatory Socialization Theory, this study investigated how ECs shaped 13 graduates' social behaviors and norms while in high school, and then how they leveraged those behaviors in their transition to college. Results indicate that while ECs proved to be a supportive environment with nurturing teachers, these programs deemphasized social activities, leading to varying preparation of the social skills necessary for college fully. Recommendations for practice and future research are provided.

Published
2024
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32. Design of a Golden Gate Cloning Plasmid for the Generation of a Chimeric Virus-Like Particle-Based Subunit Vaccine Against Porcine Circovirus Type 2

Author

Hernández-Aviña, Ana del Socorro, Mendoza-Gómez, Luis Fernando, Hernández-Mancillas, Xitlalli D., Salazar-González, Jorge Alberto, Zapata-Cuellar, Lorena, Camacho-Ruiz, Rosa María, Comas-García, Mauricio, Sarmiento-Silva, Rosa Elena, Rodríguez, Jorge A., Arellano-Plaza, Melchor, Flores-Valdez, Mario Alberto, and Gutiérrez-Ortega, Abel

Published
2024
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33. Cryptosporidium PI(4)K inhibitor EDI048 is a gut-restricted parasiticidal agent to treat paediatric enteric cryptosporidiosis

Author

Manjunatha, Ujjini H., Lakshminarayana, Suresh B., Jumani, Rajiv S., Chao, Alexander T., Young, Joseph M., Gable, Jonathan E., Knapp, Mark, Hanna, Imad, Galarneau, Jean-Rene, Cantwell, John, Kulkarni, Upendra, Turner, Michael, Lu, Peichao, Darrell, Kristen H., Watson, Lucy C., Chan, Katherine, Patra, Debjani, Mamo, Mulugeta, Luu, Catherine, Cuellar, Carlos, Shaul, Jacob, Xiao, Linda, Chen, Ying-Bo, Carney, Shannon K., Lakshman, Jay, Osborne, Colin S., Zambriski, Jennifer A., Aziz, Natasha, Sarko, Christopher, and Diagana, Thierry T.

Published
2024
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35. Retrospective study assessing the role of the androgen receptor in clear cell renal cell cancer patients treated with VEGFR inhibitors in monotherapy

Author

Osorio, Lucia, Grazioso, Tatiana P., de Velasco, Guillermo, Etxaniz, Olatz, Pérez-Gracia, Jose Luis, Pinto, Álvaro, Durán, Ignacio, Grande, Enrique, Garcia, Pablo Borrega, Lázaro, Martín, Rodriguez, Laura, Villalobos, Maria Laura, García, Lourdes, Cuellar, Andrés, Solís-Hernández, María Pilar, Pernaut, Cristina, Rodríguez-Moreno, Juan Francisco, Rodriguez-Antona, Cristina, and García-Donas, Jesús

Published
2024
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40. Clinical and genetic contributions to medical comorbidity in bipolar disorder: a study using electronic health records-linked biobank data

Author

Sanchez-Ruiz, Jorge A., Coombes, Brandon J., Pazdernik, Vanessa M., Melhuish Beaupre, Lindsay M., Jenkins, Greg D., Pendegraft, Richard S., Batzler, Anthony, Ozerdem, Aysegul, McElroy, Susan L., Gardea-Resendez, Manuel A., Cuellar-Barboza, Alfredo B., Prieto, Miguel L., Frye, Mark A., and Biernacka, Joanna M.

Published
2024
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41. The LC Method: A parallelizable numerical method for approximating the roots of single-variable polynomials

Author

Alba-Cuellar, Daniel

Subjects
Mathematics - Numerical Analysis, Mathematics - Complex Variables
Abstract

The LC method described in this work seeks to approximate the roots of polynomial equations in one variable. This book allows you to explore the LC method, which uses geometric structures of Lines L and Circumferences C in the plane of complex numbers, based on polynomial coefficients. These structures depend on the inclination angle of a line with fixed point that seeks to contain one of the roots; they are associated with an error measure that indicates the degree of proximity to that root, without knowing a priori its location. Using a computer with parallel processing capabilities, it is feasible to construct several of these geometric structures at the same time, varying the inclination angle of the lines with fixed point, in order to obtain an error measure map, with which it is possible to identify, approximately, the location of all polynomial roots. To show how the LC method works, this book includes numerical examples for quadratic, cubic, and quartic polynomials, and also for polynomials of degree greater than or equal to 5; this book also includes R programs that allow you to reproduce the results of the examples on a typical personal computer; these R programs use vectorization of operations instead of loops, which can be seen as a basic and accessible form of parallel processing. This book, in the end, invites us to explore beyond the basic ideas and concepts described here, motivating the development of a more efficient and complete computational implementation of the LC method., Comment: PDF document with 270 pages

Published
2024

42. Locating the roots of a quadratic equation in one variable through a Line-Circumference (LC) geometric construction in the plane of complex numbers

Author

Alba-Cuellar, Daniel

Subjects
Mathematics - Numerical Analysis, Mathematics - Complex Variables
Abstract

This paper describes a geometrical method for finding the roots $r_1$, $r_2$ of a quadratic equation in one complex variable of the form $x^2+c_1 x+c_2=0$, by means of a Line $L$ and a Circumference $C$ in the complex plane, constructed from known coefficients $c_1$, $c_2$. This Line-Circumference (LC) geometric structure contains the sought roots $r_1$, $r_2$ at the intersections of its component elements $L$ and $C$. Line $L$ is mapped onto Circumference $C$ by a Mobius transformation. The location and inclination angle of $L$ can be computed directly from coefficients $c_1$, $c_2$, while $C$ is constructed by dividing the constant term $c_2$ by each point from $L$. This paper describes the technical details for the quadratic LC method, and then shows how the quadratic LC method works through a numerical example. The quadratic LC method described here, although more elaborate than the traditional quadratic formula, can be extended to find initial approximations to the roots of polynomials in one variable of degree $n \geq 3$. As an additional feature, this paper also studies an interesting property of the rectilinear segments connecting key points in a quadratic LC structure., Comment: 7 pages, 2 figures

Published
2024
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47. Genomic landscape of early-stage prostate adenocarcinoma in Mexican patients: an exploratory study

Author

Cerrato-Izaguirre, Dennis, González-Ruíz, Jonathan, Diaz-Chavez, José, Ramírez, Andrea, Scavuzzo, Anna, Jimenez, Miguel A., Cortés-González, Carlo, Rubio, Jairo A., Pérez-Montiel, María D., García-Cuellar, Claudia M., Herrera, Luis A., Sánchez-Pérez, Yesennia, Vaca-Paniagua, Felipe, Barquet-Muñoz, Salim, Cantu-de-Leon, David, Bose, Promita, and Prada, Diddier

Published
2024
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50. Goodbye Hartmann trial: a prospective, international, multicenter, observational study on the current use of a surgical procedure developed a century ago

Author

Perrone, Gennaro, Giuffrida, Mario, Abu-Zidan, Fikri, Kruger, Vitor F., Livrini, Marco, Petracca, Gabriele Luciano, Rossi, Giorgio, Tarasconi, Antonio, Tian, Brian W. C. A., Bonati, Elena, Mentz, Ricardo, Mazzini, Federico N., Campana, Juan P., Gasser, Elisabeth, Kafka-Ritsch, Reinhold, Felsenreich, Daniel M., Dawoud, Christopher, Riss, Stefan, Gomes, Carlos Augusto, Gomes, Felipe Couto, Gonzaga, Ricardo Alessandro Teixeira, Canton, Cassio Alfred Brattig, Pereira, Bruno Monteiro, Fraga, Gustavo P., Zem, Leticia Gonçalves, Cordeiro-Fonseca, Vinicius, de Mesquita Tauil, Renato, Atanasov, Boyko, Belev, Nikolay, Kovachev, Nikola, Meléndez, L. Juan José, Dimova, Ana, Dimov, Stefan, Zelić, Zdravko, Augustin, Goran, Bogdanić, Branko, Morić, Trpimir, Chouillard, Elie, Bajul, Melinda, De Simone, Belinda, Panis, Yves, Esposito, Francesco, Notarnicola, Margherita, Lauka, Lelde, Fabbri, Anna, Hentati, Hassen, Fnaiech, Iskander, Aurélien, Venara, Bougard, Marie, Roulet, Maxime, Demetrashvili, Zaza, Pipia, Irakli, Merabishvili, Giorgi, Bouliaris, Konstantinos, Koukoulis, Georgios, Doudakmanis, Christos, Xenaki, Sofia, Chrysos, Emmanuel, Kokkinakis, Stamatios, Vassiliu, Panteleimon, Michalopoulos, Nikolaos, Margaris, Ioannis, Kechagias, Aristotelis, Avgerinos, Konstantinos, Katunin, Jevgeni, Lostoridis, Eftychios, Nagorni, Eleni-Aikaterini, Pujante, Antonio, Mulita, Francesk, Maroulis, Ioannis, Vailas, Michail, Marinis, Athanasios, Siannis, Ioannis, Bourbouteli, Eirini, Manatakis, Dimitrios K., Tasis, Nikolaos, Acheimastos, Vasileios, Maria, Sotiropoulou, Stylianos, Kapiris, Kuzeridis, Harilaos, Korkolis, Dimitrios, Fradelos, Evangelos, Kavalieratos, George, Petropoulou, Thalia, Polydorou, Andreas, Papacostantinou, Ioannis, Triantafyllou, Tania, Kimpizi, Despina, Theodorou, Dimitrios, Toutouzas, Konstantinos, Chamzin, Alexandros, Frountzas, Maximos, Schizas, Dimitrios, Karavokyros, Ioannis, Syllaios, Athanasios, Charalabopoulos, Alexandros, Boura, Maria, Baili, Efstratia, Ioannidis, Orestis, Loutzidou, Lydia, Anestiadou, Elissavet, Tsouknidas, Ioannis, Petrakis, Georgios, Polenta, Eleni, Bains, Lovenish, Gupta, Rahul, Singh, Sudhir K., Khanduri, Archana, Bala, Miklosh, Kedar, Asaf, Pisano, Marcello, Podda, Mauro, Pisanu, Adolfo, Martines, Gennaro, Trigiante, Giuseppe, Lantone, Giuliano, Agrusa, Antonino, Di Buono, Giuseppe, Buscemi, Salvatore, Veroux, Massimiliano, Gioco, Rossella, Veroux, Gastone, Oragano, Luigi, Zonta, Sandro, Lovisetto, Federico, Feo, Carlo V., Pesce, Antonio, Fabbri, Nicolò, Lantone, Giulio, Marino, Fabio, Perrone, Fabrizio, Vincenti, Leonardo, Papagni, Vincenzo, Picciariello, Arcangelo, Rossi, Stefano, Picardi, Biagio, Del Monte, Simone Rossi, Visconti, Diego, Osella, Giulia, Petruzzelli, Luca, Pignata, Giusto, Andreuccetti, Jacopo, D’Alessio, Rossella, Buonfantino, Massimo, Guaitoli, Eleonora, Spinelli, Stefano, Sampietro, Gianluca Matteo, Corbellini, Carlo, Lorusso, Leonardo, Frontali, Alice, Pezzoli, Isabella, Bonomi, Alessandro, Chierici, Andrea, Cotsoglou, Christian, Manca, Giuseppe, Delvecchio, Antonella, Musa, Nicola, Casati, Massimiliano, Letizia, Laface, Abate, Emmanuele, Ercolani, Giorgio, D’Acapito, Fabrizio, Solaini, Leonardo, Guercioni, Gianluca, Cicconi, Simone, Sasia, Diego, Borghi, Felice, Giraudo, Giorgio, Sena, Giuseppe, Castaldo, Pasquale, Cardamone, Eugenia, Portale, Giuseppe, Zuin, Matteo, Spolverato, Ylenia, Esposito, Marialusia, Isernia, Roberta Maria, Di Salvo, Maria, Manunza, Romina, Esposito, Giuseppe, Agus, Marcello, Asti, Emanuele Luigi Giuseppe, Bernardi, Daniele Tiziano, Tonucci, Tommaso Panici, Luppi, Davide, Casadei, Massimiliano, Bonilauri, Stefano, Pezzolla, Angela, Panebianco, Annunziata, Laforgia, Rita, De Luca, Maurizio, Zese, Monica, Parini, Dario, Jovine, Elio, De Sario, Giuseppina, Lombardi, Raffaele, Aprea, Giovanni, Palomba, Giuseppe, Capuano, Marianna, Argenio, Giulio, Orio, Gianluca, Armellino, Mariano Fortunato, Troian, Marina, Guerra, Martina, Nagliati, Carlo, Biloslavo, Alan, Germani, Paola, Aizza, Giada, Monsellato, Igor, Chahrour, Ali Chaouki, Anania, Gabriele, Bombardini, Cristina, Bagolini, Francesco, Sganga, Gabriele, Fransvea, Pietro, Bianchi, Valentina, Boati, Paolo, Ferrara, Francesco, Palmieri, Francesco, Cianci, Pasquale, Gattulli, Domenico, Restini, Enrico, Cillara, Nicola, Cannavera, Alessandro, Nita, Gabriela Elisa, Sarnari, Jlenia, Roscio, Francesco, Clerici, Federico, Scandroglio, Ildo, Berti, Stefano, Cadeo, Alessandro, Filippelli, Alice, Conti, Luigi, Grassi, Carmine, Cattaneo, Gaetano Maria, Pighin, Marina, Papis, Davide, Gambino, Giovanni, Bertino, Vanessa, Schifano, Domenico, Prando, Daniela, Fogato, Luisella, Cavallo, Fabio, Ansaloni, Luca, Picheo, Roberto, Pontarolo, Nicholas, Depalma, Norma, Spampinato, Marcello, D’Ugo, Stefano, Lepre, Luca, Capponi, Michela Giulii, Campa, Rossella Domenica, Sarro, Giuliano, Dinuzzi, Vincenza Paola, Olmi, Stefano, Uccelli, Matteo, Ferrari, Davide, Inama, Marco, Moretto, Gianluigi, Fontana, Michele, Favi, Francesco, Picariello, Erika, Rampini, Alessia, Barberis, Andrea, Azzinnaro, Antonio, Oliva, Alba, Totaro, Luigi, Benzoni, Ilaria, Ranieri, Valerio, Capolupo, Gabriella Teresa, Carannante, Filippo, Caricato, Marco, Ronconi, Maurizio, Casiraghi, Silvia, Casole, Giovanni, Pantalone, Desire, Alemanno, Giovanni, Scheiterle, Maximilian, Ceresoli, Marco, Cereda, Marco, Fumagalli, Chiara, Zanzi, Federico, Bolzon, Stefano, Guerra, Enrico, Lecchi, Francesca, Cellerino, Paola, Ardito, Antonella, Scaramuzzo, Rosa, Balla, Andrea, Lepiane, Pasquale, Tartaglia, Nicola, Ambrosi, Antonio, Pavone, Giovanna, Palini, Gian Marco, Veneroni, Simone, Garulli, Gianluca, Ricci, Claudio, Torre, Beatrice, Russo, Iris Shari, Rottoli, Matteo, Tanzanu, Marta, Belvedere, Angela, Milone, Marco, Manigrasso, Michele, De Palma, Giovanni Domenico, Piccoli, Micaela, Pattacini, Gianmaria Casoni, Magnone, Stefano, Bertoli, Paolo, Pisano, Michele, Massucco, Paolo, Palisi, Marco, Luzzi, Andrea-Pierre, Fleres, Francesco, Clarizia, Guglielmo, Spolini, Alessandro, Kobe, Yoshiro, Toma, Takayuki, Shimamura, Fumihiko, Parker, Robert, Ranketi, Sinkeet, Mitei, Mercy, Svagzdys, Saulius, Pauzas, Henrikas, Zilinskas, Justas, Poskus, Tomas, Kryzauskas, Marius, Jakubauskas, Matas, Zakaria, Andee Dzulkarnaen, Zakaria, Zaidi, Wong, Michael Pak-Kai, Jusoh, Asri Che, Zakaria, Muhammad Nazreen, Cruz, Daniel Rios, Elizalde, Aurea Barbara Rodriguez, Reynaud, Alejandro Bañon, Hernandez, Edgard Efren Lozada, Monroy, Jose maria Victor Palomo, Hinojosa-Ugarte, Diego, Quiodettis, Martha, Du Bois, María Esther, Latorraca, José, Major, Piotr, Pędziwiatr, Michał, Pisarska-Adamczyk, Magdalena, Walędziak, Maciej, Kwiatkowski, Andrzej, Czyżykowski, Łukasz, da Costa, Silvia Dantas, Pereira, Bela, Ferreira, Ana Rita Oliveira, Almeida, Filipe, Rocha, Ricardo, Carneiro, Carla, Perez, Diego Pita, Carvas, João, Rocha, Catarina, Ferreira, Cátia, Marques, Rita, Fernandes, Urânia, Leao, Pedro, Goulart, André, Pereira, Rita Gonçalves, Patrocínio, Sara Daniela Direito, de Mendonça, Nuno Gonçalo Gonçalves, Manso, Maria Isabel Cerqueira, Morais, Henrique Manuel Cardoso, Cardoso, Paulo Sebastião, Calu, Valentin, Miron, Adrian, Toma, Elena Adelina, Gachabayov, Mahir, Abdullaev, Abakar, Litvin, Andrey, Nechay, Taras, Tyagunov, Alexander, Yuldashev, Anvar, Bradley, Alison, Wilson, Michael, Panyko, Arpád, Látečková, Zuzana, Lacko, Vladimír, Lesko, Dusan, Soltes, Marek, Radonak, Jozef, Turrado-Rodriguez, Victor, Termes-Serra, Roser, Morales-Sevillano, Xavier, Lapolla, Pierfrancesco, Mingoli, Andrea, Brachini, Gioia, Degiuli, Maurizio, Sofia, Silvia, Reddavid, Rossella, de Manzoni Garberini, Andrea, Buffone, Angelica, del Pozo, Eduardo Perea, Aparicio-Sánchez, Daniel, Dos Barbeito, Sandra, Estaire-Gómez, Mercedes, Vitón-Herrero, Rebeca, de los Ángeles Gil Olarte-Marquez, Mª, Gil-Martínez, José, Alconchel, Felipe, Nicolás-López, Tatiana, Rahy-Martin, Aida Cristina, Pelloni, María, Bañolas-Suarez, Raquel, Mendoza-Moreno, Fernando, Nisa, Francisca García-Moreno, Díez-Alonso, Manuel, Rodas, María Elisa Valle, Agundez, María Carmona, Andrés, María Inmaculada Pérez, Moreira, Claudia Cristina Lopes, Perez, Aintzane Lizarazu, Ponce, Iñigo Augusto, González-Castillo, Ana María, Membrilla-Fernández, Estela, Salvans, Silvia, Serradilla-Martín, Mario, Pardo, Pablo Sancho, Rivera-Alonso, Daniel, Dziakova, Jana, Huguet, Jose Mugüerza, Valle, Naila Pagès, Ruiz, Enrique Colás, Valcárcel, Cristina Rey, Moreno, Cristina Ruiz, Salazar, Yeniffer Tatiana Moreno, García, Juan Jesús Rubio, Micó, Silvia Sevila, López, Joaquín Ruiz, Farré, Silvia Pérez, Gomez, Maite Santamaria, Petit, Nuria Mestres, Titos-García, Alberto, Aranda-Narváez, Jose Manuel, Romacho-López, Laura, Sánchez-Guillén, Luis, Aranaz-Ostariz, Veronica, Bosch-Ramírez, Marina, Martínez-Pérez, Aleix, Martínez-López, Elías, Sebastián-Tomás, Juan Carlos, Jimenez-Riera, Granada, Jimenez-Vega, Javier, Cuellar, Jose Aurelio Navas, Campos-Serra, Andrea, Muñoz-Campaña, Anna, Gràcia-Roman, Raquel, Alegre, Javier Martínez, Pinto, Francisca Lima, O’Sullivan, Sara Nuñez, Antona, Francisco Blanco, Jiménez, Beatriz Muñoz, López-Sánchez, Jaime, Carmona, Zahira Gómez, Fernández, Rocio Torres, Sierra, Isabel Blesa, de León, Laura Román García, Moreno, Verónica Polaino, Iglesias, Eva, Cumplido, Paola Lora, Bravo, Altea Arango, Simó, Ignacio Rey, Domínguez, Carlota López, Caamaño, Aloia Guerreiro, Lozano, Rafael Calleja, Martínez, Manuel Durán, Torres, Álvaro Naranjo, de Quiros, Javier Tomas Morales Bernaldo, Pellino, Gianluca, Cloquell, Miriam Moratal, Moller, Elsa García, Jalal-Eldin, Sami, Abdoun, Ahmed K., Hamid, Hytham K. S., Lohsiriwat, Varut, Mongkhonsupphawan, Aitsariya, Baraket, Oussama, Ayed, Karim, Abbassi, Imed, Ali, Ali Ben, Ammar, Houssem, Kchaou, Ali, Tlili, Ahmed, Zribi, Imen, Colak, Elif, Polat, Suleyman, Koylu, Zehra Alan, Guner, Ali, Usta, Mehmet Arif, Reis, Murat Emre, Mantoglu, Baris, Gonullu, Emre, Akin, Emrah, Altintoprak, Fatih, Bayhan, Zulfu, Firat, Necattin, Isik, Arda, Memis, Ufuk, Bayrak, Mehmet, Altıntaş, Yasemin, Kara, Yasin, Bozkurt, Mehmet Abdussamet, Kocataş, Ali, Das, Koray, Seker, Ahmet, Ozer, Nazmi, Atici, Semra Demirli, Tuncer, Korhan, Kaya, Tayfun, Ozkan, Zeynep, Ilhan, Onur, Agackiran, Ibrahim, Uzunoglu, Mustafa Yener, Demirbas, Eren, Altinel, Yuksel, Meric, Serhat, Hacım, Nadir Adnan, Uymaz, Derya Salim, Omarov, Nail, Balık, Emre, Tebala, Giovanni D., Khalil, Hany, Rana, Mridul, Khan, Mansoor, Florence, Charlotte, Swaminathan, Christie, Leo, Cosimo Alex, Liasis, Lampros, Watfah, Josef, Trostchansky, Ivan, Delgado, Edward, Pontillo, Marcelo, Latifi, Rifat, Coimbra, Raul, Edwards, Sara, Lopez, Ana, Velmahos, George, Dorken, Ander, Gebran, Anthony, Palmer, Amanda, Oury, Jeffrey, Bardes, James M., Seng, Sirivan Suon, Coffua, Lauren S., Ratnasekera, Asanthi, Egodage, Tanya, Echeverria-Rosario, Karla, Armento, Isabella, Napolitano, Lena M., Sangji, Naveen F., Hemmila, Mark, Quick, Jacob A., Austin, Tyler R., Hyman, Theodore S., Curtiss, William, McClure, Amanda, Cairl, Nicholas, Biffl, Walter L., Truong, Hung P., Schaffer, Kathryn, Reames, Summer, Banchini, Filippo, Capelli, Patrizio, Coccolini, Federico, Sartelli, Massimo, Bravi, Francesca, Vallicelli, Carlo, Agnoletti, Vanni, Baiocchi, Gian Luca, and Catena, Fausto

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2024
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