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101. Patient-caregiver relationship in cancer fatigue and distress. A dyadic approach

Author: Taurisano, Paolo, De Feudis, Rossana L., Graziano, Giusi, Marzano, Nicola, Curci, Antonietta, Fidanzio, Antonella, Annunziata, Maria Antonietta, Antinone, Valeria, Brovelli, Simona, Carone, Mariagrazia, Cavanna, Luigi, Cormio, Claudia, Cuomo, Arturo, Di Mattei, Valentina, Di Silvestre, Annarita, Lettini, Alessandro, Petrone, Antonio, Scriminaci, Maria Carmela, Tralongo, Paolo, De Caro, Maria Fara, and Lanciano, Tiziana
Published: 2023
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102. Syndrome or symptoms? Assessing cothymia, neuroticism and lifetime comorbidity in a sample of psychiatric patients

Author: Fiammetta Iannuzzo, Fabiana Fiasca, Antonella Mattei, Carmela Mento, Maria Catena Silvestri, Fabrizio Turiaco, Rocco Antonio Zoccali, Maria Rosaria Anna Muscatello, and Antonio Bruno
Subjects: cothymia, neuroticism, psychiatric disorders, comorbidity, Medicine (General), R5-920
Abstract: Background. Cross-sectional and longitudinal psychiatric comorbidity rates could represent a syndromic process rather than the co-occurrence of different disorders. ‘Cothymia’, the concomitant presence of depression and anxiety symptoms, and the ‘neuroticism’ dimension have been proposed as candidate vulnerability factors for psychiatric disorders trajectories. Based on this background, the present research was aimed at assessing the role of cothymia and neuroticism as syndromic processes in lifetime psychiatric disorders, and examining homotypic or heterotypic trends in the diagnostic continuum of comorbid mental disorders. Materials and methods. Data collection was carried out retrospectively through the consultation of medical records at the Psychiatry Unit of the University Hospital of Messina. Cothymia was determined by the lifetime presence of depression and other anxiety disorders, and neuroticism was determined by the presence of borderline personality disorders and other personality disorders. Results. Cothymia and neuroticism were found in 580 patients with higher rates of hospitalization, drug prescription, polypharmacotherapy, and longer duration of illness. Furthermore, diagnostic trajectories in patients with cothymia and neuroticism followed both homotypic and heterotypic progressions. Limitations: This study presented several limitations. The small sample size from a restricted recruitment area, and the retrospective design may have influenced a realistic and accurate estimation of the lifetime prevalence of the disorders. Conclusions. Despite the limitations, the findings of this study confirm the presence of consistent and meaningful homotypic and heterotypic trajectories in psychiatric patients, suggesting that the evolution of lifetime diagnoses should become a focus in theoretical and practical approaches to psychiatric disorders.
Published: 2024
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103. Epstein–Barr virus, Cytomegalovirus, and Herpes Simplex-1/2 reactivations in critically ill patients with COVID-19

Author: Alessia Mattei, Lorenzo Schiavoni, Elisabetta Riva, Massimo Ciccozzi, Roberta Veralli, Angela Urselli, Vincenzo Citriniti, Antonio Nenna, Giuseppe Pascarella, Fabio Costa, Rita Cataldo, Felice Eugenio Agrò, and Massimiliano Carassiti
Subjects: HSV, Critically ill, Mortality, COVID-19, Pneumonia, Bacteremia, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract: Abstract Objectives To assess the incidences of Herpes Simplex-1 and 2 (HSV-1, HSV-2), Cytomegalovirus (CMV), Epstein–Barr Virus (EBV) reactivations in critically ill COVID-19 patients. To determine the association between viral reactivation and in-hospital mortality, Intensive Care Unit Bloodstream infection (ICU–BSI), ventilator-associated pneumonia (VAP). Design Observational retrospective cohort study. Setting COVID-19 Intensive Care Unit. Patients From November 2020 to May 2021, one hundred and twenty patients with COVID-19 severe pneumonia were enrolled and tested for HSV-1, HSV-2, CMV and EBV at the admission in ICU and weekly until discharge or death. The presence of VAP and ICU–BSI was evaluated according to clinical judgement and specific diagnostic criteria. Measurements and main results One hundred and twenty patients were enrolled. Multiple reactivations occurred in 75/120 (63%) patients, single reactivation in 27/120 patients (23%). The most reactivated Herpesvirus was EBV, found in 78/120 (65%) patients. The multivariate analysis demonstrated that viral reactivation is a strong independent risk factor for in-hospital mortality (OR = 2.46, 95% CI 1.02–5.89), ICU–BSI (OR = 2.37, 95% CI 1.06–5.29) and VAP (OR = 2.64, 95% CI 1.20–5.82). Conclusions Human Herpesviruses reactivations in critically ill patients with COVID-19 severe Pneumonia are associated with mortality and with a higher risk to develop both VAP and ICU–BSI.
Published: 2024
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104. Resting‐state fMRI functional connectome of C9orf72 mutation status

Author: Mario Stanziano, Davide Fedeli, Umberto Manera, Stefania Ferraro, Jean P. Medina Carrion, Sara Palermo, Paola Sciortino, Maurizio Cogoni, Federica Agosta, Silvia Basaia, Massimo Filippi, Marina Grisoli, Maria C. Valentini, Filippo De Mattei, Antonio Canosa, Andrea Calvo, Maria G. Bruzzone, Adriano Chiò, Anna Nigri, and Cristina Moglia
Subjects: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract: Abstract Objective The resting‐state functional connectome has not been extensively investigated in amyotrophic lateral sclerosis (ALS) spectrum disease, in particular in relationship with patients' genetic status. Methods Here we studied the network‐to‐network connectivity of 19 ALS patients carrying the C9orf72 hexanucleotide repeat expansion (C9orf72+), 19 ALS patients not affected by C9orf72 mutation (C9orf72−), and 19 ALS‐mimic patients (ALSm) well‐matched for demographic and clinical variables. Results When compared with ALSm, we observed greater connectivity of the default mode and frontoparietal networks with the visual network for C9orf72+ patients (P = 0.001). Moreover, the whole‐connectome showed greater node degree (P
Published: 2024
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105. Vorwort:(Un)Eingeschränkt entscheiden. Reproduktionspolitiken und Selbstbestimmung

Author: Oxana Eremin, Antje Langer, Annalisa Mattei, and Claudia Mahs
Subjects: reproduktionspolitiken, selbstbestimmung, The family. Marriage. Woman, HQ1-2044
Published: 2024
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106. TYROBP/DAP12 knockout in Huntington’s disease Q175 mice cell-autonomously decreases microglial expression of disease-associated genes and non-cell-autonomously mitigates astrogliosis and motor deterioration

Author: Jordi Creus-Muncunill, Jean Vianney Haure-Mirande, Daniele Mattei, Joanna Bons, Angie V. Ramirez, B. Wade Hamilton, Chuhyon Corwin, Sarah Chowdhury, Birgit Schilling, Lisa M. Ellerby, and Michelle E. Ehrlich
Subjects: Complement, Huntington’s disease, Microglia, Multi-omics, Neuroinflammation, Q175, Neurology. Diseases of the nervous system, RC346-429
Abstract: Abstract Introduction Huntington’s disease (HD) is a fatal neurodegenerative disorder caused by an expansion of the CAG trinucleotide repeat in the Huntingtin gene (HTT). Immune activation is abundant in the striatum of HD patients. Detection of active microglia at presymptomatic stages suggests that microgliosis is a key early driver of neuronal dysfunction and degeneration. Recent studies showed that deletion of Tyrobp, a microglial protein, ameliorates neuronal dysfunction in Alzheimer’s disease amyloidopathy and tauopathy mouse models while decreasing components of the complement subnetwork. Objective While TYROBP/DAP12-mediated microglial activation is detrimental for some diseases such as peripheral nerve injury, it is beneficial for other diseases. We sought to determine whether the TYROBP network is implicated in HD and whether Tyrobp deletion impacts HD striatal function and transcriptomics. Methods To test the hypothesis that Tyrobp deficiency would be beneficial in an HD model, we placed the Q175 HD mouse model on a Tyrobp-null background. We characterized these mice with a combination of behavioral testing, immunohistochemistry, transcriptomic and proteomic profiling. Further, we evaluated the gene signature in isolated Q175 striatal microglia, with and without Tyrobp. Results Comprehensive analysis of publicly available human HD transcriptomic data revealed that the TYROBP network is overactivated in the HD putamen. The Q175 mice showed morphologic microglial activation, reduced levels of post-synaptic density-95 protein and motor deficits at 6 and 9 months of age, all of which were ameliorated on the Tyrobp-null background. Gene expression analysis revealed that lack of Tyrobp in the Q175 model does not prevent the decrease in the expression of striatal neuronal genes but reduces pro-inflammatory pathways that are specifically active in HD human brain, including genes identified as detrimental in neurodegenerative diseases, e.g. C1q and members of the Ccr5 signaling pathway. Integration of transcriptomic and proteomic data revealed that astrogliosis and complement system pathway were reduced after Tyrobp deletion, which was further validated by immunofluorescence analysis. Conclusions Our data provide molecular and functional support demonstrating that Tyrobp deletion prevents many of the abnormalities in the HD Q175 mouse model, suggesting that the Tyrobp pathway is a potential therapeutic candidate for Huntington’s disease.
Published: 2024
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107. Early estimates on monkeypox incubation period, generation time and reproduction number in Italy, May-June 2022

Author: Guzzetta, Giorgio, Mammone, Alessia, Ferraro, Federica, Caraglia, Anna, Rapiti, Alessia, Marziano, Valentina, Poletti, Piero, Cereda, Danilo, Vairo, Francesco, Mattei, Giovanna, Maraglino, Francesco, Rezza, Giovanni, and Merler, Stefano
Subjects: Quantitative Biology - Populations and Evolution
Abstract: We analyzed the first 255 PCR-confirmed cases of monkeypox occurred in Italy in 2022. Preliminary estimates indicate: mean incubation period of 9.1 days (95%CI of the mean: 6.5-10.9); mean generation time of 12.5 days (95%CI of the mean: 7.5-17.3); reproduction number in the MSM community of 2.43 (95%CI: 1.82-3.26)., Comment: 3 pages, 1 figure, 1 table, supplementary material
Published: 2022

108. Determining the volume fraction in 2-phase composites and bodies using time varying applied fields

Author: Mattei, Ornella, Milton, Graeme W., and Putinar, Mihai
Subjects: Mathematical Physics
Abstract: A body $\Theta$ containing two phases, which may form a periodic composite with microstructure much smaller that the body, or which may have structure on a length scale comparable to the body, is subjected to slowly time varying boundary conditions that would produce an approximate uniform field in $\Theta$ were it filled with homogeneous material. Here slowly time varying means that the wavelengths and attenuation lengths of waves at the frequencies associated with the time variation are much larger than the size of $\Theta$, so that we can make a quasistatic approximation. At least one of the two phase does not have an instantaneous response but rather depends on fields at prior times. The fields may be those associated with electricity, magnetism, fluid flow in porous media, or antiplane elasticity. We find, subject to these approximations, that the time variation of the boundary conditions can be designed so boundary measurements at a specific time $t=t_0$ exactly yield the volume fractions of the phases, independent of the detailed geometric configuration of the phases. Moreover, for specially tailored time variations, the volume fraction can be exactly determined frommeasurements at any time $t$, not just at the specific time $t=t_0$. We also show how time varying boundary conditions, not oscillating at the single frequency $\omega_0$, can be designed to exactly retrieve the response at $\omega_0$., Comment: 35 pages, 8 figures
Published: 2022
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109. Towards Group Learning: Distributed Weighting of Experts

Author: Abramowitz, Ben and Mattei, Nicholas
Subjects: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Multiagent Systems, Economics - Theoretical Economics
Abstract: Aggregating signals from a collection of noisy sources is a fundamental problem in many domains including crowd-sourcing, multi-agent planning, sensor networks, signal processing, voting, ensemble learning, and federated learning. The core question is how to aggregate signals from multiple sources (e.g. experts) in order to reveal an underlying ground truth. While a full answer depends on the type of signal, correlation of signals, and desired output, a problem common to all of these applications is that of differentiating sources based on their quality and weighting them accordingly. It is often assumed that this differentiation and aggregation is done by a single, accurate central mechanism or agent (e.g. judge). We complicate this model in two ways. First, we investigate the setting with both a single judge, and one with multiple judges. Second, given this multi-agent interaction of judges, we investigate various constraints on the judges' reporting space. We build on known results for the optimal weighting of experts and prove that an ensemble of sub-optimal mechanisms can perform optimally under certain conditions. We then show empirically that the ensemble approximates the performance of the optimal mechanism under a broader range of conditions.
Published: 2022

110. Pitfalls in gpr data interpretation: false reflectors detected in lunar radar cross sections by Chang'e-3

Author: Li, Chunlai, Xing, Shuguo, Lauro, Sebastian E., Su, Yan, Dai, Shun, Feng, Jianqing, Cosciotti, Barbara, Di Paolo, Federico, Mattei, Elisabetta, Xiao, Yuan, Ding, Chunyu, and Pettinelli, Elena
Subjects: Physics - Geophysics
Abstract: Chang'e-3(CE-3) has been the first spacecraft to soft-land on the Moon since the Soviet Union's Luna 24 in 1976. The spacecraft arrived at Mare Imbrium on December 14, 2013 and the same day, Yutu lunar rover separated from lander to start its exploration of the surface and the subsurface around the landing site. The rover was equipped, among other instruments, with two Lunar Penetrating Radar systems (LPR) having a working frequency of 60 and 500 MHz. The radars acquired data for about two weeks while the rover was slowly moving along a path of about 114 m. At Navigation point N0209 the rover got stacked into the lunar soil and after that only data at fixed position could be collected. The low frequency radar data have been analyzed by different authors and published in two different papers, which reported totally controversial interpretations of the radar cross sections. The present study is devoted to resolve such controversy carefully analyzing and comparing the data collected on the Moon by Yutu rover and on Earth by a prototype of LRP mounted onboard a model of the CE-3 lunar rover. Such analysis demonstrates that the deep radar features previously ascribed to the lunar shallow stratigraphy are not real reflectors, rather they are signal artefacts probably generated by the system and its electromagnetic interaction with the metallic rover.
Published: 2022

111. A Multi-stage deep architecture for summary generation of soccer videos

Author: Sanabria, Melissa, Precioso, Frédéric, Mattei, Pierre-Alexandre, and Menguy, Thomas
Subjects: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Multimedia
Abstract: Video content is present in an ever-increasing number of fields, both scientific and commercial. Sports, particularly soccer, is one of the industries that has invested the most in the field of video analytics, due to the massive popularity of the game and the emergence of new markets. Previous state-of-the-art methods on soccer matches video summarization rely on handcrafted heuristics to generate summaries which are poorly generalizable, but these works have yet proven that multiple modalities help detect the best actions of the game. On the other hand, machine learning models with higher generalization potential have entered the field of summarization of general-purpose videos, offering several deep learning approaches. However, most of them exploit content specificities that are not appropriate for sport whole-match videos. Although video content has been for many years the main source for automatizing knowledge extraction in soccer, the data that records all the events happening on the field has become lately very important in sports analytics, since this event data provides richer context information and requires less processing. We propose a method to generate the summary of a soccer match exploiting both the audio and the event metadata. The results show that our method can detect the actions of the match, identify which of these actions should belong to the summary and then propose multiple candidate summaries which are similar enough but with relevant variability to provide different options to the final editor. Furthermore, we show the generalization capability of our work since it can transfer knowledge between datasets from different broadcasting companies, different competitions, acquired in different conditions, and corresponding to summaries of different lengths
Published: 2022

112. In silico methods for immunogenicity risk assessment and human homology screening for therapeutic antibodies

Author: Aimee E. Mattei, Andres H. Gutierrez, Soorya Seshadri, Jacob Tivin, Matt Ardito, Amy S. Rosenberg, William D. Martin, and Anne S. De Groot
Subjects: Anti-drug antibodies, EpiMatrix, immunogenicity, immunoinformatics, JanusMatrix, monoclonal antibody, Therapeutics. Pharmacology, RM1-950, Immunologic diseases. Allergy, RC581-607
Abstract: ABSTRACTIn silico immunogenicity risk assessment has been an important step in the development path for many biologic therapeutics, including monoclonal antibodies. Even if the source of a given biologic is ‘fully human’, T cell epitopes that are contained in the sequences of the biologic may activate the immune system, enabling the development of anti-drug antibodies that can reduce drug efficacy and may contribute to adverse events. Computational tools that identify T cell epitopes from primary amino acid sequences have been used to assess the immunogenic potential of therapeutic candidates for several decades. To facilitate larger scale analyses and accelerate preclinical immunogenicity risk assessment, our group developed an integrated web-based platform called ISPRI, (Immunogenicity Screening and Protein Re-engineering Interface) that provides hands-on access through a secure web-based interface for scientists working in large and mid-sized biotech companies in the US, Europe, and Japan. This toolkit has evolved and now contains an array of algorithms that can be used individually and/or consecutively for immunogenicity assessment and protein engineering. Most analyses start with the advanced epitope mapping tool (EpiMatrix), then proceed to identify epitope clusters using ClustiMer, and then use a tool called JanusMatrix to define whether any of the T cell epitope clusters may generate a regulatory T cell response which may diminish or eliminate anti-drug antibody formation. Candidates can be compared to similar products on a normalized immunogenicity scale. Should modifications to the biologic sequence be an option, a tool for moderating putative immunogenicity by editing T cell epitopes out of the sequence is available (OptiMatrix). Although this perspective discusses the in-silico immunogenicity risk assessment for monoclonal antibodies, bi-specifics, multi-specifics, and antibody-drug conjugates, the analysis of additional therapeutic modalities such as enzyme replacement proteins, blood factor proteins, CAR-T, gene therapy products, and peptide drugs is also made available on the ISPRI platform.
Published: 2024
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113. Keratinous and corneous-based products towards circular bioeconomy: A research review

Author: Giovanni Davide Barone, Irene Tagliaro, Rodrigo Oliver-Simancas, Matteo Radice, Livia M. Kalossaka, Michele Mattei, Antonino Biundo, Isabella Pisano, and Amparo Jiménez-Quero
Subjects: Alpha-keratin, Corneous beta-protein, Environmentally sustainable technology, Biotechnology, Resource recovery, Environmental sciences, GE1-350, Environmental technology. Sanitary engineering, TD1-1066
Abstract: Keratins and corneous proteins are key components of biomaterials used in a wide range of applications and are potential substitutes for petrochemical-based products. Horns, hooves, feathers, claws, and similar animal tissues are abundant sources of α-keratin and corneous β-proteins, which are by-products of the food industry. Their close association with the meat industry raises environmental and ethical concerns regarding their disposal. To promote an eco-friendly and circular use of these materials in novel applications, efforts have focused on recovering these residues to develop sustainable, non-animal-related, affordable, and scalable procedures. Here, we review and examine biotechnological methods for extracting and expressing α-keratins and corneous β-proteins in microorganisms. This review highlights consolidated research trends in biomaterials, medical devices, food supplements, and packaging, demonstrating the keratin industry's potential to create innovative value-added products. Additionally, it analyzes the state of the art of related intellectual property and market size to underscore the potential within a circular bioeconomic model.
Published: 2024
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114. Lipid rafts mediate multilineage differentiation of human dental pulp-derived stem cells (DPSCs)

Author: Santilli, Francesca, Fabrizi, Jessica, Martellucci, Stefano, Santacroce, Costantino, Iorio, Egidio, Pisanu, Maria Elena, Chirico, Mattea, Lancia, Loreto, Pulcini, Fanny, Manganelli, Valeria, Sorice, Maurizio, Delle Monache, Simona, and Mattei, Vincenzo
Subjects: Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Biological Sciences, Stem Cell Research, Prevention, Dental/Oral and Craniofacial Disease, Underpinning research, 1.1 Normal biological development and functioning, DPSCs, lipid rafts, gangliosides, osteogenic, chondrogenic and adipogenic differentiation, multilineage differentiation, mesenchymal stem cells, dental pulp stem cells, Biological sciences, Biomedical and clinical sciences
Abstract: Cell outer membranes contain glycosphingolipids and protein receptors, which are integrated into glycoprotein domains, known as lipid rafts, which are involved in a variety of cellular processes, including receptor-mediated signal transduction and cellular differentiation process. In this study, we analyzed the lipidic composition of human Dental Pulp-Derived Stem Cells (DPSCs), and the role of lipid rafts during the multilineage differentiation process. The relative quantification of lipid metabolites in the organic fraction of DPSCs, performed by Nuclear Magnetic Resonance (NMR) spectroscopy, showed that mono-unsaturated fatty acids (MUFAs) were the most representative species in the total pool of acyl chains, compared to polyunsatured fatty acids (PUFAs). In addition, the stimulation of DPSCs with different culture media induces a multilineage differentiation process, determining changes in the gangliosides pattern. To understand the functional role of lipid rafts during multilineage differentiation, DPSCs were pretreated with a typical lipid raft affecting agent (MβCD). Subsequently, DPSCs were inducted to differentiate into osteoblast, chondroblast and adipoblast cells with specific media. We observed that raft-affecting agent MβCD prevented AKT activation and the expression of lineage-specific mRNA such as OSX, PPARγ2, and SOX9 during multilineage differentiation. Moreover, this compound significantly prevented the tri-lineage differentiation induced by specific stimuli, indicating that lipid raft integrity is essential for DPSCs differentiation. These results suggest that lipid rafts alteration may affect the signaling pathway activated, preventing multilineage differentiation.
Published: 2023

115. Cardiac computed tomographic imaging in cardio-oncology: An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT). Endorsed by the International Cardio-Oncology Society (ICOS).

Author: Lopez-Mattei, Juan, Yang, Eric H, Baldassarre, Lauren A, Agha, Ali, Blankstein, Ron, Choi, Andrew D, Chen, Marcus Y, Meyersohn, Nandini, Daly, Ryan, Slim, Ahmad, Rochitte, Carlos, Blaha, Michael, Whelton, Seamus, Dzaye, Omar, Dent, Susan, Milgrom, Sarah, Ky, Bonnie, Iliescu, Cezar, Mamas, Mamas A, and Ferencik, Maros
Abstract: Cardio-Oncology is a rapidly growing sub-specialty of medicine, however, there is very limited guidance on the use of cardiac CT (CCT) in the care of Cardio-Oncology patients. In order to fill in the existing gaps, this Expert Consensus statement comprised of a multidisciplinary collaboration of experts in Cardiology, Radiology, Cardiovascular Multimodality Imaging, Cardio-Oncology, Oncology and Radiation Oncology aims to summarize current evidence for CCT applications in Cardio-Oncology and provide practice recommendations for clinicians.
Published: 2023

116. Novel insights and therapeutic approaches in secondary AML

Author: Giovanni Marconi, Michela Rondoni, Beatrice Anna Zannetti, Irene Zacheo, Davide Nappi, Agnese Mattei, Serena Rocchi, and Francesco Lanza
Subjects: acute myeloid leukemia, AML, secondary AML, myelodysplasia-related, chemotherapy-related, AML genetics, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Secondary acute myeloid leukemia (sAML) presents as a complex and multifaceted ensemble of disorders, positioning itself as both a challenge and an intriguing frontier within hematologic oncology. Its origins are diverse, stemming from antecedent hematologic conditions, germline predisposing mutations, or the sequelae of cytotoxic therapies, and its development is driven by intricate genetic and epigenetic modifications. This complexity necessitates a diverse array of therapeutic strategies, each meticulously tailored to address the distinctive challenges sAML introduces. Such strategies require a personalized approach, considering the variegated clinical backgrounds of patients and the inherent intricacies of the disease. Allogeneic stem cell transplantation stands as a cornerstone, offering the potential for curative outcomes. This is complemented by the emergence of innovative treatments such as CPX-351, venetoclax, and glasdegib, which have demonstrated promising results in enhancing prognosis. The evolving landscape of sAML treatment underscores the importance of continued research and innovation in the field, aiming not only to improve patient outcomes but also to deepen our understanding of the disease’s biological underpinnings, thereby illuminating pathways toward more effective and individualized therapies.
Published: 2024
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117. Examining Generalizability across Different Surveys: Comparing Nutrient-Based Food Patterns and Their Cross-Sectional Associations with Cardiometabolic Health in the United States Hispanic/Latino Adults

Author: Jeanette J Varela, Josiemer Mattei, Daniela Sotres-Alvarez, Yasmin Mossavar-Rahmani, Amanda C McClain, Luis E Maldonado, Martha L Daviglus, and Briana JK Stephenson
Subjects: dietary patterns, Hispanic/Latino diets, NHANES, HCHS/SOL, nutrient intake, factor analysis, Nutrition. Foods and food supply, TX341-641, Nutritional diseases. Deficiency diseases, RC620-627
Abstract: Background: Ethnicity, cultural background, and geographic location differ significantly within the United States Hispanic/Latino population. These variations can greatly define diet and its relationship with cardiometabolic disease, thus influencing generalizability of results. Objectives: We aimed to examine nutrient-based food patterns (NBFPs) of Hispanic/Latino adults and their association with cardiometabolic risk factors (dyslipidemia, hypertension, obesity, diabetes) across 2 United States population-based studies with differing sampling strategies. Methods: Data were collected from Mexican or other Hispanic adult participants from 2007–2012 National Health and Nutrition Examination Survey (NHANES) (n = 3605) and 2007–2011 Hispanic Community Health Survey/Study of Latinos (HCHS/SOL, n = 14,416). NBFPs were derived using factor analysis on nutrient intake data estimated from 24-h dietary recalls and interpreted using common foods in which these nutrients are prominent. Cross-sectional associations between NBFPs (quintiles) and cardiometabolic risk factors, defined by clinical measures and self-report, were estimated using survey-weighted multivariable-adjusted logistic models, accounting for multiple testing. Results: Five NBFPs were identified in both studies: 1) meats, 2) grains/legumes, 3) fruits/vegetables, 4) dairy, and 5) fats/oils. Associations with cardiometabolic risk factors differed by NBFP and study. In HCHS/SOL, the odds of diabetes were lower for persons in the highest quintile of meats NBFP (odds ratio [OR]: 0.73; 95% confidence interval [CI]: 0.58, 0.92) and odds were higher for those in the lowest quintile of fruits/vegetables (OR: 0.71; 95% CI: 0.55, 0.93) compared to those in the third (moderate intake) quintile. Those in the fourth quintile of dairy NBFP had higher odds of hypertension than those in the third quintile (OR: 1.31; 95% CI: 1.01, 1.70). In NHANES, the odds of hypertension were higher for those in the fourth quintile of dairy (OR: 1.88; 95% CI: 1.10, 3.24) than those in the third quintile. Conclusions: Diet–disease relationships among Hispanic/Latino adults vary according to 2 population-based studies. These differences have research and practical implications when generalizing inferences on heterogeneous underrepresented populations.
Published: 2024
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118. Adaptación transcultural, validez, confiabilidad e interpretabilidad de la versión argentina del cuestionario de creencias de miedo y evitación (FABQ) en sujetos con dolor lumbar

Author: Santiago Gigena, Romina Belen Mattei, Gonzalo Jove, María Lourdes Laurens, Denise Masuello, and Daniela Rocío Castro
Subjects: cuestionario de creencias de miedo y evitación, dolor lumbar, kinesiofobia, estudios de validación, Medicine
Abstract: Objetivo: Realizar una adaptación transcultural y validación del cuestionario de creencias de miedo y evitación (FABQ, por sus siglas en inglés) para sujetos argentinos con dolor lumbar (DL) y reportar las propiedades psicométricas de confiabilidad, validez e interpretabilidad. Materiales y métodos: Se realizó un estudio observacional, prospectivo y longitudinal. Se incluyeron de forma consecutiva residentes argentinos hispanohablantes mayores de 18 años con DL. El estudio comprendió una fase de adaptación, seguida de una fase de validación. Los sujetos fueron evaluados el día de su admisión al estudio (T1) y 48 a 72 horas después (T2). Se utilizó una escala global de cambio como anclaje externo para evaluar la estabilidad clínica. Resultados: Fueron elegibles 74 sujetos. La media de la puntuación total del FABQ fue de 50,24 (DE: 20,64). La consistencia interna (alfa de Cronbach) fue de 0,85 (IC 95 %: 0,79 - 0,91). La confiabilidad test-retest fue aceptable, con un coeficiente de correlación intraclase de 0,765 (IC 95 %: 0,61 - 0,86). El error estándar de medición fue de 4,85 puntos, y el cambio mínimo detectable (95 %) fue de 13,45. La mediana de tiempo para que los sujetos completen el cuestionario fue de 3,86 minutos (RIQ 3,44 – 4,85), y la media de tiempo para puntuarlo fue de 24,40 segundos (DE 13,77). No se observó efecto suelo o techo. Conclusión: El FABQ en su versión argentina es un cuestionario válido, confiable y viable para evaluar las creencias de miedo y evitación en sujetos con DL.
Published: 2024
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119. Health Care Fraud and Abuse: Lessons From One of the Largest Scandals of the 21st Century in the Field of Spine Surgery

Author: Thomas Szewczyk, BS, Michael S. Sinha, MD, JD, MPH, Jack Gerling, BS, Justin K. Zhang, MD, MSCI, Philippe Mercier, MD, PhD, and Tobias A. Mattei, MD, FACS
Subjects: Surgery, RD1-811
Abstract: Up to hundreds of billions of dollars are annually lost to fraud and abuse in the US health care, making it a significant burden on the system. This study investigates a specific instance of health care fraud in spine surgery, in which a medical device company ended up paying $75 million to settle violations of the False Claims Act. We review the surgical background regarding the kyphoplasty procedure, as well as its billing and reimbursement details. We also explore the official legal complaint brought by the US Department of Justice to tell the story of how one of the most significant medical innovations in spine surgery in the 21st century turned into a widespread fraudulent marketing scheme. In the sequence, we provide a detailed root cause analysis of this scandal and propose some proactive measures that can be taken to avoid such type of unfortunate events. Ultimately, this historical health care scandal constitutes a valuable lesson to surgeons, health care administrators, medical device companies, and policymakers on how misaligned incentives and subsequent unscrupulous practices can transform a medical innovation into an unfortunate tale of fraud and deceit.
Published: 2024
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120. Editorial: The GABAA receptor: a target of pharmacologically active molecules

Author: Margot Ernst, Wei Lu, and César Mattei
Subjects: GABAA receptors, subunit, therapeutics, epilepsy, central nervous system, Therapeutics. Pharmacology, RM1-950
Published: 2024
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121. Adaptação dos acadêmicos de Medicina em currículo PBL e tradicional ao ensino remoto na pandemia

Author: Izabel Cristina Meister Martins Coelho, Mariana Xavier e Silva, Adriana Buechner de Freitas Brandão, Ana Carolina Bernard Veiga, Carolina Arissa Tsutida, and Maria Paula Miranda Mattei
Subjects: Currículo, Aprendizagem Baseada em Problemas, Medicina, Covid-19, Aprendizado Online, Education (General), L7-991, Medicine (General), R5-920
Abstract: RESUMO Introdução: Em 2020, o mundo foi afetado pelo novo coronavírus, e isso gerou mudanças históricas em diversos setores, incluindo o da educação, que teve que se adaptar rapidamente ao formato online. Objetivo: Este estudo teve como objetivo comparar se houve uma melhor adaptação ao ensino remoto durante a pandemia de Covid-19 dos acadêmicos de Medicina que estudam em currículos PBL quando comparada a de alunos com currículos em modelo disciplinar expositivo. Método: Trata-se de um estudo transversal. Foram incluídos na pesquisa os estudantes matriculados do segundo ao quarto ano do curso de Medicina que tenham preenchido o questionário completamente e cursado pelo menos um semestre de ensino remoto durante o ano de 2020. Resultado: Houve uma diferença significativa entre as metodologias, com maior adaptação dos estudantes que utilizaram o modelo PBL em comparação aos que cursaram no modelo disciplinar expositivo durante a pandemia de Covid-19. Conclusão: Na amostra estudada, o método PBL mostrou-se superior ao método disciplinar, nos quesitos avaliados, na adaptação de estudantes de Medicina ao ensino remoto.
Published: 2024
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122. Prostate cancer screening in Switzerland: a literature review and consensus statement from the Swiss Society of Urology

Author: Christoph Würnschimmel, Dominik Menges, Maciej Kwiatkowski, Silvan Sigg, Lukas Prause, Agostino Mattei, Daniel Engeler, Daniel Eberli, Helge Seifert, Massimo Valerio, Cyrill A. Rentsch, and Ashkan Mortezavi
Subjects: Medicine
Abstract: Over a decade ago, the United States Preventive Services Taskforce (USPSTF) recommended against prostate-specific antigen (PSA)-based screening for prostate cancer in all men, which considerably influenced prostate cancer screening policies worldwide after that. Consequently, the world has seen increasing numbers of advanced stages and prostate cancer deaths, which later led the USPSTF to withdraw its initial statement. Meanwhile, the European Union has elaborated a directive to address the problem of implementing prostate cancer screening in “Europe’s Beating Cancer Plan”. In Switzerland, concerned urologists formed an open Swiss Prostate Cancer Screening Group to improve the early detection of prostate cancer. On the 20th of September 2023, during the annual general assembly of the Swiss Society of Urology (SGU/SSU) in Lausanne, members positively voted for a stepwise approach to evaluate the feasibility of implementing organised prostate cancer screening programs in Switzerland. The following article will summarise the events and scientific advances in the last decade during which evidence and promising additional modalities to complement PSA-based prostate cancer screening have emerged. It also aims to provide an overview of contemporary strategies and their potential harms and benefits.
Published: 2024
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123. ARE THERE ADVANTAGES IN DOUBLE TRANSIT RECONSTRUCTION AFTER TOTAL GASTRECTOMY IN PATIENTS WITH GASTRIC CANCER? A SYSTEMATIC REVIEW

Author: Luigi Carlo da Silva COSTA, Ary Augusto de Castro MACEDO, Juliana Mattei de ARAÚJO, Ewerton Lima da SILVA, Luís Felipe Gomes Reis de MORAES, Aline dos SANTOS, Hugo Gomes SOARES, Valdir TERCIOTI JUNIOR, João de Souza COELHO NETO, Nelson Adami ANDREOLLO, and Luiz Roberto LOPES
Subjects: Gastric Cancer, Gastrectomy, Gastric Bypass, Anastomosis in Roux-en-Y, Surgery, RD1-811, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract: ABSTRACT BACKGROUND: Curative treatment for gastric cancer involves tumor resection, followed by transit reconstruction, with Roux-en-Y being the main technique employed. To permit food transit to the duodenum, which is absent in Roux-en-Y, double transit reconstruction has been used, whose theoretical advantages seem to surpass the previous technique. AIMS: To compare the clinical evolution of gastric cancer patients who underwent total gastrectomy with Roux-en-Y and double tract reconstruction. METHODS: A systematic review was carried out on Web of Science, Scopus, EmbasE, SciELO, Virtual Health Library, PubMed, Cochrane, and Google Scholar databases. Data were collected until June 11, 2022. Observational studies or clinical trials evaluating patients submitted to double tract (DT) and Roux-en-Y (RY) reconstructions were included. There was no temporal or language restriction. Review articles, case reports, case series, and incomplete texts were excluded. The risk of bias was calculated using the Cochrane tool designed for randomized clinical trials. RESULTS: Four studies of good methodological quality were included, encompassing 209 participants. In the RY group, there was a greater reduction in food intake. In the DT group, the decrease in body mass index was less pronounced compared to preoperative values. CONCLUSIONS: The double tract reconstruction had better outcomes concerning body mass index and the time until starting a light diet; however, it did not present any advantages in relation to nutritional deficits, quality of life, and post-surgical complications.
Published: 2024
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124. Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms

Author: Barbara Wanjiru Citarella, Christiana Kartsonaki, Elsa D. Ibáñez-Prada, Bronner P. Gonçalves, Joaquin Baruch, Martina Escher, Mark G. Pritchard, Jia Wei, Fred Philippy, Andrew Dagens, Matthew Hall, James Lee, Demetrios James Kutsogiannis, Evert-Jan Wils, Marília Andreia Fernandes, Bharath Kumar Tirupakuzhi Vijayaraghavan, Prasan Kumar Panda, Ignacio Martin-Loeches, Shinichiro Ohshimo, Arie Zainul Fatoni, Peter Horby, Jake Dunning, Jordi Rello, Laura Merson, Amanda Rojek, Michel Vaillant, Piero Olliaro, Luis Felipe Reyes, S.A. Moharam, Sabriya Abdalasalam, Alaa Abdalfattah Abdalhadi, Naana Reyam Abdalla, Walaa Abdalla, Almthani Hamza Abdalrheem, Ashraf Abdalsalam, Saedah Abdeewi, Esraa Hassan Abdelgaum, Mohamed Abdelhalim, Mohammed Abdelkabir, Israa Abdelrahman, Sheryl Ann Abdukahil, Lamees Adil Abdulbaqi, Salaheddin Abdulhamid, Widyan Abdulhamid, Nurul Najmee Abdulkadir, Eman Abdulwahed, Rawad Abdunabi, Ryuzo Abe, Laurent Abel, Ahmed Mohammed Abodina, Amal Abrous, Lara Absil, Kamal Abu Jabal, Nashat Abu Salah, Abdurraouf Abusalama, Tareg Abdallah Abuzaid, Subhash Acharya, Andrew Acker, Elisabeth Adam, Safia Adem, Manuella Ademnou, Francisca Adewhajah, Diana Adrião, Anthony Afum-Adjei Awuah, Melvin Agbogbatey, Saleh Al Ageel, Aya Mustafa Ahmed, Musaab Mohammed Ahmed, Shakeel Ahmed, Zainab Ahmed Alaraji, Abdulrahman Ahmed Elhefnawy Enan, Reham Abdelhamid Ahmed Khalil, Ali Mostafa Ahmed Mohamed Abdelaziz, Kate Ainscough, Eka Airlangga, Tharwat Aisa, Ali Aisha, Bugila Aisha, Ali Ait Hssain, Younes Ait Tamlihat, Takako Akimoto, Ernita Akmal, Chika Akwani, Eman Al Qasim, Ahmed Alajeeli, Ahmed Alali, Razi Alalqam, Aliya Mohammed Alameen, Mohammed Al-Aquily, Zinah A. Alaraji, Khalid Albakry, Safa Albatni, Angela Alberti, Osama Aldabbourosama, Tala Al-dabbous, Amer Aldhalia, Abdulkarim Aldoukali, Senthilkumar Alegesan, Marta Alessi, Beatrice Alex, Kévin Alexandre, Abdulrahman Al-Fares, Asil Alflite, Huda Alfoudri, Qamrah Alhadad, Hoda Salem Alhaddad, Maali Khalid Mohamed Abdalla Alhasan, Ahmad Nabil Alhouri, Hasan Alhouri, Adam Ali, Imran Ali, Maha TagElser Mohammed Ali, Syed Ali Abbas, Yomna Ali Abdelghafar, Naseem Ali Sheikh, Kazali Enagnon Alidjnou, Mahmoud Aljadi, Sarah Aljamal, Mohammed Alkahlout, Akram Alkaseek, Qabas Alkhafajee, Clotilde Allavena, Nathalie Allou, Lana Almasri, Abdulrahman Almjersah, Raja Ahmed Alqandouz, Walaa Alrfaea, Moayad Alrifaee, Rawan Alsaadi, Yousef Al-Saba'a, Entisar Alshareea, Eslam Alshenawy, Aneela Altaf, João Melo Alves, João Alves, Rita Alves, Joana Alves Cabrita, Maria Amaral, Amro Essam Amer, Nur Amira, Amos Amoako Adusei, John Amuasi, Roberto Andini, Claire Andrejak, Andrea Angheben, François Angoulvant, Sophia Ankrah, Séverine Ansart, Sivanesen Anthonidass, Massimo Antonelli, Carlos Alexandre Antunes de Brito, Ardiyan Apriyana, Yaseen Arabi, Irene Aragao, Francisco Arancibia, Carolline Araujo, Antonio Arcadipane, Patrick Archambault, Lukas Arenz, Jean-Benoît Arlet, Christel Arnold-Day, Lovkesh Arora, Rakesh Arora, Elise Artaud-Macari, Diptesh Aryal, Angel Asensio, Elizabeth A. Ashley, Muhammad Ashraf, Muhammad Sheharyar Ashraf, Abir Ben Ashur, Franklin Asiedu-Bekoe, Namra Asif, Mohammad Asim, Grace Assi, Jean Baptiste Assie, Amirul Asyraf, Fouda Atangana, Ahmed Atia, Minahel Atif, Asia Atif Abdelrhman Abdallahrs, Anika Atique, Moad Atlowly, AM Udara Lakshan Attanyake, Johann Auchabie, Hugues Aumaitre, Adrien Auvet, Abdelmalek Awad Ali Mohammed, Eyvind W. Axelsen, Ared Ayad, Ahmed Ayman Hassan Helmi, Laurène Azemar, Mohammed Azizeldin, Cecile Azoulay, Hakeem Babatunde, Benjamin Bach, Delphine Bachelet, Claudine Badr, Roar Bævre-Jensen, Nadia Baig, John Kenneth Baillie, J Kevin Baird, Erica Bak, Agamemnon Bakakos, Nazreen Abu Bakar, Hibah Bileid Bakeer, Ashraf Bakri, Andriy Bal, Mohanaprasanth Balakrishnan, Irene Bandoh, Firouzé Bani-Sadr, Renata Barbalho, Nicholas Yuri Barbosa, Wendy S. Barclay, Saef Umar Barnett, Michaela Barnikel, Helena Barrasa, Cleide Barrigoto, Marie Bartoli, Joaquín Baruch, Romain Basmaci, Muhammad Fadhli Hassin Basri, AbdAlkarim Batool, Denise Battaglini, Jules Bauer, Diego Fernando Bautista Rincon, Denisse Bazan Dow, Abigail Beane, Alexandra Bedossa, Ker Hong Bee, Husna Begum, Sylvie Behilill, Albertus Beishuizen, Aleksandr Beljantsev, David Bellemare, Anna Beltrame, Beatriz Amorim Beltrão, Marine Beluze, Nicolas Benech, Lionel Eric Benjiman, Suzanne Bennett, Luís Bento, Jan-Erik Berdal, Lamis Berdeweel, Delphine Bergeaud, Hazel Bergin, Giulia Bertoli, Lorenzo Bertolino, Simon Bessis, Sybille Bevilcaqua, Karine Bezulier, Amar Bhatt, Krishna Bhavsar, Isabella Bianchi, Claudia Bianco, Sandra Bichoka, Farah Nadiah Bidin, Felwa Bin Humaid, Mohd Nazlin Bin Kamarudin, Muhannud Binnawara, Zeno Bisoffi, Patrick Biston, Laurent Bitker, Mustapha Bittaye, Jonathan Bitton, Pablo Blanco-Schweizer, Catherine Blier, Frank Bloos, Mathieu Blot, Filomena Boccia, Laetitia Bodenes, Debby Bogaert, Anne-Hélène Boivin, Ariel Bolanga, Isabela Bolaños, Pierre-Adrien Bolze, François Bompart, Aurelius Bonifasius, Joe Bonney, Diogo Borges, Raphaël Borie, Hans Martin Bosse, Elisabeth Botelho-Nevers, Lila Bouadma, Olivier Bouchaud, Sabelline Bouchez, Damien Bouhour, Kévin Bouiller, Laurence Bouillet, Camile Bouisse, Latsaniphone Bountthasavong, Anne-Sophie Boureau, John Bourke, Maude Bouscambert, Aurore Bousquet, Marielle Boyer-Besseyre, Maria Boylan, Fernando Augusto Bozza, Axelle Braconnier, Cynthia Braga, Timo Brandenburger, Filipa Brás Monteiro, Luca Brazzi, Dorothy Breen, Patrick Breen, David Brewster, Kathy Brickell, Tessa Broadley, Helen Brotherton, Alex Browne, Nicolas Brozzi, Sonja Hjellegjerde Brunvoll, Marjolein Brusse-Keizer, Petra Bryda, Nina Buchtele, Polina Bugaeva, Marielle Buisson, Danilo Buonsenso, Erlina Burhan, Donald Buri, Aidan Burrell, Ingrid G. Bustos, Denis Butnaru, André Cabie, Susana Cabral, Joana Cabrita, Eder Caceres, Cyril Cadoz, Rui Caetano Garcês, Kate Calligy, Jose Andres Calvache, João Camões, Valentine Campana, Paul Campbell, Josie Campisi, Cecilia Canepa, Mireia Cantero, Janice Caoili, Pauline Caraux-Paz, Sheila Cárcel, Filipa Cardoso, Filipe Cardoso, Nelson Cardoso, Sofia Cardoso, Simone Carelli, Nicolas Carlier, Thierry Carmoi, Gayle Carney, Inês Carqueja, Marie-Christine Carret, François Martin Carrier, Ida Carroll, Gail Carson, Maire-Laure Casanova, Mariana Cascão, Siobhan Casey, José Casimiro, Bailey Cassandra, Silvia Castañeda, Nidyanara Castanheira, Guylaine Castor-Alexandre, Ivo Castro, Ana Catarino, François-Xavier Catherine, Paolo Cattaneo, Roberta Cavalin, Giulio Giovanni Cavalli, Alexandros Cavayas, Adrian Ceccato, Masaneh Ceesay, Shelby Cerkovnik, Minerva Cervantes-Gonzalez, Muge Cevik, Anissa Chair, Catherine Chakveatze, Adrienne Chan, Meera Chand, Jean-Marc Chapplain, Charlotte Charpentier, Julie Chas, Muhammad Mobin Chaudry, Jonathan Samuel Chávez Iñiguez, Anjellica Chen, Yih-Sharng Chen, Léo Chenard, Matthew Pellan Cheng, Antoine Cheret, Thibault Chiarabini, Julian Chica, Suresh Kumar Chidambaram, Leong Chin Tho, Catherine Chirouze, Davide Chiumello, Sung-Min Cho, Bernard Cholley, Danoy Chommanam, Marie-Charlotte Chopin, Yock Ping Chow, Ting Soo Chow, Nathaniel Christy, Hiu Jian Chua, Jonathan Chua, Jose Pedro Cidade, José Miguel Cisneros Herreros, Anna Ciullo, Jennifer Clarke, Rolando Claure-Del Granado, Sara Clohisey, Cassidy Codan, Caitriona Cody, Jennifer Coles, Megan Coles, Gwenhaël Colin, Michael Collins, Pamela Combs, Jennifer Connolly, Marie Connor, Anne Conrad, Elaine Conway, Graham S. Cooke, Hugues Cordel, Amanda Corley, Sabine Cornelis, Alexander Daniel Cornet, Arianne Joy Corpuz, Andrea Cortegiani, Grégory Corvaisier, Camille Couffignal, Sandrine Couffin-Cadiergues, Roxane Courtois, Stéphanie Cousse, Juthaporn Cowan, Rachel Cregan, Gloria Crowl, Jonathan Crump, Claudina Cruz, Marc Csete, Ailbhe Cullen, Matthew Cummings, Gerard Curley, Elodie Curlier, Colleen Curran, Paula Custodio, Ana da Silva Filipe, Charlene Da Silveira, Al-Awwab Dabaliz, John Arne Dahl, Darren Dahly, Umberto D'Alessandro, Peter Daley, Zaina Dalloul, Heidi Dalton, Jo Dalton, Seamus Daly, Juliana Damas, Joycelyn Dame, Cammandji Damien, Nick Daneman, Jorge Dantas, Frédérick D'Aragon, Gillian de Loughry, Diego de Mendoza, Etienne De Montmollin, Rafael Freitas de Oliveira França, Ana Isabel de Pinho Oliveira, Rosanna De Rosa, Cristina De Rose, Thushan de Silva, Peter de Vries, Jillian Deacon, David Dean, Alexa Debard, Bianca DeBenedictis, Marie-Pierre Debray, Nathalie DeCastro, William Dechert, Romain Decours, Eve Defous, Isabelle Delacroix, Alexandre Delamou, Eric Delaveuve, Karen Delavigne, Nathalie M. Delfos, Ionna Deligiannis, Andrea Dell'Amore, Christelle Delmas, Pierre Delobel, Corine Delsing, Elisa Demonchy, Emmanuelle Denis, Dominique Deplanque, Pieter Depuydt, Diane Descamps, Mathilde Desvallées, Santi Dewayanti, Pathik Dhangar, Alpha Diallo, Souleymane Taran Diallo, Sylvain Diamantis, André Dias, Fernanda Dias Da Silva, Rodrigo Diaz, Juan Jose Diaz, Priscila Diaz, Bakary K. Dibba, Kévin Didier, Jean-Luc Diehl, Wim Dieperink, Jérôme Dimet, Vincent Dinot, Fara Diop, Alphonsine Diouf, Yael Dishon, Cedric Djadda, Félix Djossou, Annemarie B. Docherty, Helen Doherty, Arjen M. Dondorp, Christl A. Donnelly, Yoann Donohue, Sean Donohue, Peter Doran, Céline Dorival, Eric D'Ortenzio, Yash Doshi, Phouvieng Douangdala, James Joshua Douglas, Renee Douma, Nathalie Dournon, Joanne Downey, Mark Downing, Thomas Drake, Aoife Driscoll, Ibrahim Kwaku Duah, Claudio Duarte Fonseca, Vincent Dubee, François Dubos, Audrey Dubot-Pérès, Alexandre Ducancelle, Toni Duculan, Susanne Dudman, Abhijit Duggal, Paul Dunand, Mathilde Duplaix, Emanuele Durante-Mangoni, Lucian Durham, III, Bertrand Dussol, Juliette Duthoit, Xavier Duval, Anne Margarita Dyrhol-Riise, Sim Choon Ean, Ada Ebo, Marco Echeverria-Villalobos, Michael Edelstein, Siobhan Egan, Linn Margrete Eggesbø, Khadeja Ehzaz, Carla Eira, Mohammed El Sanharawi, Marwan El Sayed, Mohammed Elabid, Mohamed Bashir Elagili, Subbarao Elapavaluru, Mohammad Elbahnasawy, Sohail Elboshra, Brigitte Elharrar, Jacobien Ellerbroek, Merete Ellingjord-Dale, Hamida ELMagrahi, Mohammad Muatasm Elmubark, Loubna Elotmani, Lauren Eloundou, Philippine Eloy, Basma Elshaikhy, Tarek Elshazly, Wafa Elsokni, Aml Ahmed Eltayeb, Iqbal Elyazar, Zarief Kamel Emad, Hussein Embarek, Isabelle Enderle, Tomoyuki Endo, Gervais Eneli, Chan Chee Eng, Ilka Engelmann, Vincent Enouf, Olivier Epaulard, Haneen Esaadi, Mariano Esperatti, Hélène Esperou, Catarina Espírito Santo, Marina Esposito-Farese, Rachel Essaka, Lorinda Essuman, João Estevão, Manuel Etienne, Anna Greti Everding, Mirjam Evers, Isabelle Fabre, Marc Fabre, Ismaila Fadera, Asgad Osman Abdalla Fadlalla, Amna Faheem, Arabella Fahy, Cameron J. Fairfield, Zul Fakar, Komal Fareed, Pedro Faria, Ahmed Farooq, Hanan Fateena, Mohamed Fathi, Salem Fatima, Karine Faure, Raphaël Favory, Mohamed Fayed, Niamh Feely, Jorge Fernandes, Susana Fernandes, François-Xavier Ferrand, Eglantine Ferrand Devouge, Joana Ferrão, Mário Ferraz, Benigno Ferreira, Isabel Ferreira, Bernardo Ferreira, Sílvia Ferreira, Nicolas Ferriere, Céline Ficko, Claudia Figueiredo-Mello, William Finlayson, Thomas Flament, Tom Fletcher, Aline-Marie Florence, Letizia Lucia Florio, Brigid Flynn, Deirdre Flynn, Jean Foley, Victor Fomin, Tatiana Fonseca, Patricia Fontela, Karen Forrest, Simon Forsyth, Denise Foster, Giuseppe Foti, Berline Fotso, Erwan Fourn, Robert A. Fowler, Marianne Fraher, Diego Franch-Llasat, Christophe Fraser, John F. Fraser, Marcela Vieira Freire, Ana Freitas Ribeiro, Craig French, Caren Friedrich, Ricardo Fritz, Stéphanie Fry, Nora Fuentes, Masahiro Fukuda, G. Argin, Valérie Gaborieau, Rostane Gaci, Massimo Gagliardi, Jean-Charles Gagnard, Amandine Gagneux-Brunon, Abdou Gai, Sérgio Gaião, Linda Gail Skeie, Adham Mohamed Galal Mohamed Ramadan, Phil Gallagher, Carrol Gamble, Yasmin Gani, Arthur Garan, Rebekha Garcia, Julia Garcia-Diaz, Esteban Garcia-Gallo, Navya Garimella, Denis Garot, Valérie Garrait, Basanta Gauli, Anatoliy Gavrylov, Alexandre Gaymard, Johannes Gebauer, Eva Geraud, Louis Gerbaud Morlaes, Nuno Germano, Malak Ghemmeid, Praveen Kumar Ghisulal, Jade Ghosn, Marco Giani, Tristan Gigante, Elaine Gilroy, Guillermo Giordano, Michelle Girvan, Valérie Gissot, Gezy Giwangkancana, Daniel Glikman, Petr Glybochko, Eric Gnall, Geraldine Goco, François Goehringer, Siri Goepel, Jean-Christophe Goffard, Jin Yi Goh, Brigitta Golács, Jonathan Golob, Kyle Gomez, Joan Gómez-Junyent, Marie Gominet, Alicia Gonzalez, Patricia Gordon, Isabelle Gorenne, Laure Goubert, Cécile Goujard, Tiphaine Goulenok, Margarite Grable, Jeronimo Graf, Edward Wilson Grandin, Pascal Granier, Giacomo Grasselli, Lorenzo Grazioli, Christopher A. Green, Courtney Greene, William Greenhalf, Segolène Greffe, Domenico Luca Grieco, Matthew Griffee, Fiona Griffiths, Ioana Grigoras, Albert Groenendijk, Fassou Mathias Grovogui, Heidi Gruner, Yusing Gu, Jérémie Guedj, Martin Guego, Anne-Marie Guerguerian, Daniela Guerreiro, Romain Guery, Anne Guillaumot, Laurent Guilleminault, Maisa Guimarães de Castro, Thomas Guimard, Marieke Haalboom, Daniel Haber, Ali Hachemi, Abdurrahman Haddud, Nadir Hadri, Wael Hafez, Fakhir Raza Haidri, Fatima Mhd Rida Hajij, Sheeba Hakak, Adam Hall, Sophie Halpin, Shaher Hamdan, Abdelhafeez Hamdi, Jawad Hameed, Ansley Hamer, Raph L. Hamers, Rebecca Hamidfar, Bato Hammarström, Naomi Hammond, Terese Hammond, Lim Yuen Han, Matly Hanan, Rashan Haniffa, Kok Wei Hao, Hayley Hardwick, Ewen M. Harrison, Janet Harrison, Samuel Bernard Ekow Harrison, Alan Hartman, Sulieman Hasan, Mohammad Ali Nabil Hasan, Mohd Shahnaz Hasan, Junaid Hashmi, Madiha Hashmi, Amoni Hassan, Ebtisam Hassanin, Muhammad Hayat, Ailbhe Hayes, Leanne Hays, Jan Heerman, Lars Heggelund, Ahmed Helmi, Ross Hendry, Martina Hennessy, Aquiles Rodrigo Henriquez-Trujillo, Maxime Hentzien, Diana Hernandez, Andrew Hershey, Liv Hesstvedt, Astarini Hidayah, Eibhlin Higgins, Rupert Higgins, Samuel Hinton, Hiroaki Hiraiwa, Haider Hirkani, Hikombo Hitoto, Antonia Ho, Yi Bin Ho, Alexandre Hoctin, Isabelle Hoffmann, Wei Han Hoh, Oscar Hoiting, Rebecca Holt, Jan Cato Holter, Juan Pablo Horcajada, Ikram Houas, Mabrouka Houderi, Catherine L. Hough, Stuart Houltham, Jimmy Ming-Yang Hsu, Jean-Sébastien Hulot, Abby Hurd, Iqbal Hussain, Aliae Mohamed Hussein, Mahmood Hussein, Fatima Ibrahim, Bashir Ibran, Samreen Ijaz, M. Arfan Ikram, Carlos Cañada Illana, Patrick Imbert, Muhammad Imran Ansari, Rana Imran Sikander, Hugo Inácio, Carmen Infante Dominguez, Yun Sii Ing, Mariachiara Ippolito, Vera Irawany, Sarah Isgett, Tiago Isidoro, Nadiah Ismail, Margaux Isnard, Mette Stausland Istre, Junji Itai, Daniel Ivulich, Danielle Jaafar, Salma Jaafoura, Hamza Jaber, Julien Jabot, Clare Jackson, Abubacarr Jagne, Stéphane Jaureguiberry, Denise Jaworsky, Florence Jego, Anilawati Mat Jelani, Synne Jenum, Ruth Jimbo-Sotomayor, Ong Yiaw Joe, Ruth Noemí Jorge García, Silje Bakken Jørgensen, Cédric Joseph, Mark Joseph, Swosti Joshi, Mercé Jourdain, Philippe Jouvet, Anna Jung, Hanna Jung, Dafsah Juzar, Ouifiya Kafif, Florentia Kaguelidou, Neerusha Kaisbain, Thavamany Kaleesvran, Sabina Kali, Karl Trygve Kalleberg, Smaragdi Kalomoiri, Muhammad Aisar Ayadi Kamaluddin, Armand Saloun Kamano, Zul Amali Che Kamaruddin, Nadiah Kamarudin, Kavita Kamineni, Darshana Hewa Kandamby, Kong Yeow Kang, Darakhshan Kanwal, Dyah Kanyawati, Mohamed Karghul, Pratap Karpayah, Todd Karsies, Daisuke Kasugai, Kevin Katz, Christy Kay, Lamees Kayyali, Seán Keating, Pulak Kedia, Andrea Kelly, Aoife Kelly, Claire Kelly, Niamh Kelly, Sadie Kelly, Yvelynne Kelly, Maeve Kelsey, Kalynn Kennon, Sommay Keomany, Maeve Kernan, Younes Kerroumi, Sharma Keshav, Shams Khail, Sarah Khaled, Imrana Khalid, Antoine Khalil, Irfan Khan, Quratul Ain Khan, Sushil Khanal, Abid Khatak, Krish Kherajani, Michelle E. Kho, Denisa Khoo, Ryan Khoo, Saye Khoo, Muhammad Nasir Khoso, Amin Khuwaja, Khor How Kiat, Yuri Kida, Peter Kiiza, Beathe Kiland Granerud, Anders Benjamin Kildal, Jae Burm Kim, Antoine Kimmoun, Detlef Kindgen-Milles, Nobuya Kitamura, Eyrun Floerecke Kjetland Kjetland, Paul Klenerman, Rob Klont, Gry Kloumann Bekken, Stephen R. Knight, Robin Kobbe, Paa Kobina Forson, Chamira Kodippily, Malte Kohns Vasconcelos, Sabin Koirala, Mamoru Komatsu, Franklina Korkor Abebrese, Volkan Korten, Stephanie Kouba, Mohamed Lamine Kourouma, Karifa Kourouma, Arsène Kpangon, Karolina Krawczyk, Ali Kredan, Vinothini Krishnan, Sudhir Krishnan, Oksana Kruglova, Anneli Krund, Pei Xuan Kuan, Ashok Kumar, Deepali Kumar, Ganesh Kumar, Mukesh Kumar, Dinesh Kuriakose, Ethan Kurtzman, Demetrios Kutsogiannis, Galyna Kutsyna, Ama Kwakyewaa Bedu-Addo, Sylvie Kwedi, Konstantinos Kyriakoulis, Marie Lachatre, Marie Lacoste, John G. Laffey, Nadhem Lafhej, Marie Lagrange, Fabrice Laine, Olivier Lairez, Sanjay Lakhey, Marc Lambert, François Lamontagne, Marie Langelot-Richard, Vincent Langlois, Eka Yudha Lantang, Marina Lanza, Cédric Laouénan, Samira Laribi, Delphine Lariviere, Stéphane Lasry, Sakshi Lath, Naveed Latif, Youssef Latifeh, Odile Launay, Didier Laureillard, Yoan Lavie-Badie, Andy Law, Cassie Lawrence, Teresa Lawrence, Minh Le, Clément Le Bihan, Cyril Le Bris, Georges Le Falher, Lucie Le Fevre, Quentin Le Hingrat, Marion Le Maréchal, Soizic Le Mestre, Gwenaël Le Moal, Vincent Le Moing, Hervé Le Nagard, Ema Leal, Marta Leal Santos, Biing Horng Lee, Heng Gee Lee, Su Hwan Lee, Jennifer Lee, Todd C. Lee, Yi Lin Lee, Gary Leeming, Bénédicte Lefebvre, Laurent Lefebvre, Benjamin Lefèvre, Sylvie LeGac, Merili-Helen Lehiste, Jean-Daniel Lelievre, François Lellouche, Adrien Lemaignen, Véronique Lemee, Anthony Lemeur, Gretchen Lemmink, Ha Sha Lene, Jenny Lennon, Rafael León, Marc Leone, Tanel Lepik, Quentin Lepiller, François-Xavier Lescure, Olivier Lesens, Mathieu Lesouhaitier, Amy Lester-Grant, Andrew Letizia, Sophie Letrou, Bruno Levy, Yves Levy, Claire Levy-Marchal, Katarzyna Lewandowska, Erwan L'Her, Gianluigi Li Bassi, Janet Liang, Ali Liaquat, Geoffrey Liegeon, Kah Chuan Lim, Wei Shen Lim, Chantre Lima, Bruno Lina, Lim Lina, Andreas Lind, Maja Katherine Lingad, Guillaume Lingas, Sylvie Lion-Daolio, Keibun Liu, Marine Livrozet, Patricia Lizotte, Antonio Loforte, Navy Lolong, Leong Chee Loon, Diogo Lopes, Dalia Lopez-Colon, Anthony L. Loschner, Paul Loubet, Bouchra Loufti, Guillame Louis, Silvia Lourenco, Lara Lovelace-Macon, Lee Lee Low, Marije Lowik, Jia Shyi Loy, Jean Christophe Lucet, Carlos M. Luna, Olguta Lungu, Miles Lunn, Liem Luong, Nestor Luque, Dominique Luton, Olavi Maasikas, Moïse Machado, Sara Machado, Gabriel Macheda, Mustafa Magzoub, Rafael Mahieu, Sophie Mahy, Ana Raquel Maia, Lars S. Maier, Oumou Maiga Ascofare, Mylène Maillet, Thomas Maitre, Nimisha Abdul Majeed, Maximilian Malfertheiner, Nadia Malik, Paddy Mallon, Fernando Maltez, Denis Malvy, Victoria Manda, Laurent Mandelbrot, Frank Manetta, Julie Mankikian, Edmund Manning, Aldric Manuel, Veronika Maráczi, Ceila Maria Sant′Ana Malaque, Flávio Marino, Samuel Markowicz, Ana Marques, Catherine Marquis, Laura Marsh, Brian Marsh, Megan Marshal, John Marshall, Celina Turchi Martelli, Dori-Ann Martin, Emily Martin, Guillaume Martin-Blondel, Alessandra Martinelli, F. Eduardo Martinez, Martin Martinot, Alejandro Martín-Quiros, Ana Martins, João Martins, Nuno Martins, Caroline Martins Rego, Gennaro Martucci, Olga Martynenko, Eva Miranda Marwali, Marsilla Marzukie, David Maslove, Sabina Mason, Sobia Masood, Fatma Masoud, Moise Massoma, Palmer Masumbe, Mohd Basri Mat Nor, Moshe Matan, Henrique Mateus Fernandes, Meghena Mathew, Christina Mathew, Mathieu Mattei, Laurence Maulin, Juergen May, Javier Maynar, Mayfong Mayxay, Thierry Mazzoni, Lisa Mc Sweeney, Colin McArthur, Naina McCann, Peter McCanny, Aine McCarthy, Anne McCarthy, Colin McCloskey, Rachael McConnochie, Sherry McDermott, Sarah E. McDonald, Aine McElroy, Samuel McElwee, Natalie McEvoy, Allison McGeer, Kenneth A. McLean, Paul McNally, Bairbre McNicholas, Edel Meaney, Cécile Mear-Passard, Maggie Mechlin, Nastia Medombou, Omar Mehkri, Ferruccio Mele, Luis Melo, Kashif Ali Memon, João João Mendes, Ogechukwu Menkiti, Kusum Menon, France Mentré, Alexander J. Mentzer, Emmanuelle Mercier, Noémie Mercier, Antoine Merckx, Mayka Mergeay-Fabre, Blake Mergler, António Mesquita, Roberta Meta, Osama Metwally, Agnès Meybeck, Dan Meyer, Alison M. Meynert, Vanina Meysonnier, Mehdi Mezidi, Céline Michelanglei, Isabelle Michelet, Efstathia Mihelis, Vladislav Mihnovit, Duha Milad Abdullah, Jennene Miller, Hugo Miranda-Maldonado, Nor Arisah Misnan, Nik Nur Eliza Mohamed, Nouralsabah Mohamed, Tahira Jamal Mohamed, Alaa Mohamed Ads, Ahmed Reda Mohamed Elsayed Abdelhalim, Libya Mohammed, Shrouk Fawze Mohammed Mostafa, Manahil Omer Abdelrahman Mohammedahmed, Omer Abdullah Mohammedelhassan, Asma Moin, Walaa Mokhtar, Elena Molinos, Brenda Molloy, Mary Mone, Agostinho Monteiro, Claudia Montes, Giorgia Montrucchio, Sarah Moore, Shona C. Moore, Lina Morales Cely, Marwa Morgom, Lucia Moro, Catherine Motherway, Ana Motos, Hugo Mouquet, Clara Mouton Perrot, Julien Moyet, Suleiman Haitham Mualla, Mohamed Muftah, Aisha Kalsoom Mufti, Ng Yong Muh, Mo'nes Muhaisen, Dzawani Muhamad, Jimmy Mullaert, Fredrik Müller, Karl Erik Müller, Daniel Munblit, Syed Muneeb Ali, Nadeem Munir, Laveena Munshi, Aisling Murphy, Patrick Murray, Marlène Murris, Srinivas Murthy, Himed Musaab, Alamin Mustafa, Mus'ab Mustafa, Dana Mustafa, Himasha Muvindi, Dimitra Melia Myrodia, Farah Nadia Mohd-Hanafiah, Behzad Nadjm, Dave Nagpal, Alex Nagrebetsky, Blanka Nagybányai-Nagy, Herwin Nanda Boudoin, Mangala Narasimhan, Nageswaran Narayanan, Prashant Nasa, Rashid Nasim Khan, Ahmad Nasrallah, Adel Gerges Nassif Metri, Alasdair Nazerali-Maitland, Nadège Neant, Holger Neb, Nikita Nekliudov, Matthew Nelder, Erni Nelwan, Raul Neto, Emily Neumann, Wing Yiu Ng, Pauline Yeung Ng, Anthony Nghi, Duc Nguyen, Orna Ni Choileain, Niamh Ni Leathlobhair, Nerissa Niba, Alistair D. Nichol, Prompak Nitayavardhana, Stephanie Nonas, Nurul Amani Mohd Noordin, Nurul Faten Izzati Norharizam, Anita North, Alessandra Notari, Mahdad Noursadeghi, Adam Nowinski, Saad Nseir, Leonard Numfor, Nurnaningsih Nurnaningsih, Dwi Utomo Nusantara, Elsa Nyamankolly, Anders Benteson Nygaard, Fionnuala O. Brien, Annmarie O. Callaghan, Annmarie O'Callaghan, Giovanna Occhipinti, Derbrenn OConnor, Max O'Donnell, Lawrence Ofori-Boadu, Tawnya Ogston, Takayuki Ogura, Tak-Hyuk Oh, Sophie O'Halloran, Katie O'Hearn, Sally-Ann Ohene, João Oliveira, Larissa Oliveira, Piero L. Olliaro, Cinderella Omar Rageh Elnaggar, Alsarrah Ali Mohammed Omer, Pierre Ondobo, David S.Y. Ong, Jee Yan Ong, Wilna Oosthuyzen, Anne Opavsky, Peter Openshaw, Saijad Orakzai, Claudia Milena Orozco-Chamorro, Jamel Ortoleva, Mohamed Osama Elsayed Soliman, Javier Osatnik, Linda O'Shea, Miriam O'Sullivan, Eman Othman, Siti Zubaidah Othman, Nadia Ouamara, Rachida Ouissa, Micheal Owusu, Ama Akyampomaa Owusu-Asare, Eric Oziol, Maïder Pagadoy, Justine Pages, Amanda Palacios, Massimo Palmarini, Giovanna Panarello, Hem Paneru, Lai Hui Pang, Mauro Panigada, Nathalie Pansu, Aurélie Papadopoulos, Rachael Parke, Melissa Parker, Jérémie Pasquier, Bruno Pastene, Fabian Patauner, Drashti Patel, Mohan Dass Pathmanathan, Luís Patrão, Patricia Patricio, Lisa Patterson, Rajyabardhan Pattnaik, Christelle Paul, Mical Paul, Jorge Paulos, William A. Paxton, Jean-François Payen, Sandra L. Peake, Kalaiarasu Peariasamy, Giles J. Peek, Florent Peelman, Nathan Peiffer-Smadja, Vincent Peigne, Mare Pejkovska, Paolo Pelosi, Ithan D. Peltan, Rui Pereira, Daniel Perez, Thomas Perpoint, Antonio Pesenti, Vincent Pestre, Lenka Petrou, Michele Petrovic, Ventzislava Petrov-Sanchez, Frank Olav Pettersen, Gilles Peytavin, Richard Odame Philips, Ooyanong Phonemixay, Soulichanya Phoutthavong, Michael Piagnerelli, Walter Picard, Olivier Picone, Maria de Piero, Djura Piersma, Carlos Pimentel, Raquel Pinto, Catarina Pires, Lionel Piroth, Ayodhia Pitaloka, Chiara Piubelli, Riinu Pius, Simone Piva, Laurent Plantier, Hon Shen Png, Julien Poissy, Ryadh Pokeerbux, Sergio Poli, Georgios Pollakis, Diane Ponscarme, Diego Bastos Porto, Andra-Maris Post, Douwe F. Postma, Pedro Povoa, Diana Póvoas, Jeff Powis, Sofia Prapa, Viladeth Praphasiri, Sébastien Preau, Christian Prebensen, Jean-Charles Preiser, Anton Prinssen, Gamage Dona Dilanthi Priyadarshani, Lucia Proença, Sravya Pudota, Bambang Pujo Semedi, Mathew Pulicken, Peter Puplampu, Gregory Purcell, Luisa Quesada, Vilmaris Quinones-Cardona, Else Quist-Paulsen, Mohammed Quraishi, Fadi Qutishat, Maia Rabaa, Christian Rabaud, Ebenezer Rabindrarajan, Aldo Rafael, Marie Rafiq, Abdelrahman Ragab, Mutia Rahardjani, Arslan Rahat Ullah, Ahmad Kashfi Haji Ab Rahman, Rozanah Abd Rahman, Fernando Rainieri, Giri Shan Rajahram, Pratheema Ramachandran, Nagarajan Ramakrishnan, José Ramalho, Ahmad Afiq Ramli, Blandine Rammaert, Grazielle Viana Ramos, Asim Rana, Rajavardhan Rangappa, Ritika Ranjan, Christophe Rapp, Aasiyah Rashan, Thalha Rashan, Ghulam Rasheed, Menaldi Rasmin, Indrek Rätsep, Cornelius Rau, Tharmini Ravi, Ali Raza, Andre Real, Stanislas Rebaudet, Sarah Redl, Brenda Reeve, Attaur Rehman, Muhammad Osama Rehman Khalid, Dag Henrik Reikvam, Renato Reis, Jonathan Remppis, Martine Remy, Hongru Ren, Hanna Renk, Anne-Sophie Resseguier, Matthieu Revest, Oleksa Rewa, Maria Ines Ribeiro, Antonia Ricchiuto, David Richardson, Denise Richardson, Laurent Richier, Siti Nurul Atikah Ahmad Ridzuan, Ana L. Rios, Asgar Rishu, Patrick Rispal, Karine Risso, Maria Angelica Rivera Nuñez, Chiara Robba, André Roberto, Stephanie Roberts, Charles Roberts, David L. Robertson, Olivier Robineau, Anna Roca, Ferran Roche-Campo, Paola Rodari, Simão Rodeia, Bernhard Roessler, Claire Roger, Pierre-Marie Roger, Roberto Roncon-Albuquerque, Jr., Mélanie Roriz, Manuel Rosa-Calatrava, Michael Rose, Dorothea Rosenberger, Andrea Rossanese, Matteo Rossetti, Patrick Rossignol, Carine Roy, Benoît Roze, Desy Rusmawatiningtyas, Clark D. Russell, Maeve Ryan, Steffi Ryckaert, Aleksander Rygh Holten, Isabela Saba, Sairah Sadaf, Musharaf Sadat, Valla Sahraei, Abdurraouf Said, Nadia Saidani, Pranya Sakiyalak, Fodé Bangaly Sako, Moamen Salah, Ali Alaa Salah Eldin Mohamed Abbas, Nawal Salahuddin, Leonardo Salazar, Jodat Saleem, Mohammed Saleh Alyasiri, Talat Ahmed Abu Salem, Gabriele Sales, Charlotte Salmon Gandonniere, Hélène Salvator, Dana Samardali, Shaden Samardali, Yehia Samir Shaaban Aly Orabi, Emely Sanchez, Olivier Sanchez, Kizy Sanchez de Oliveira, Angel Sanchez-Miralles, Vanessa Sancho-Shimizu, Gyan Sandhu, Zulfiqar Sandhu, Pierre-François Sandrine, Oana Săndulescu, Marlene Santos, Shirley Sarfo-Mensah, Bruno Sarmento Banheiro, Iam Claire E. Sarmiento, Benjamine Sarton, Ankana Satya, Sree Satyapriya, Rumaisah Satyawati, Egle Saviciute, Yen Tsen Saw, Justin Schaffer, Tjard Schermer, Arnaud Scherpereel, Marion Schneider, János Schnur, Stephan Schroll, Michael Schwameis, Gary Schwartz, Janet T. Scott, James Scott-Brown, Nicholas Sedillot, Tamara Seitz, Jaganathan Selvanayagam, Mageswari Selvarajoo, Malcolm G. Semple, Rasidah Bt Senian, Eric Senneville, Claudia Sepulveda, Filipa Sequeira, Tânia Sequeira, Ary Serpa Neto, Ellen Shadowitz, Syamin Asyraf Shahidan, Hamza Shahla, Laila Shalabi, Haitam Shames, Anuraj Shankar, Shaikh Sharjeel, Pratima Sharma, Catherine A. Shaw, Victoria Shaw, John Robert Sheenan, Dr. Rajesh Mohan Shetty, Rohan Shetty, Mohiuddin Shiekh, Nobuaki Shime, Keiki Shimizu, Sally Shrapnel, Shubha Kalyan Shrestha, Pramesh Sundar Shrestha, Hoi Ping Shum, Nassima Si Mohammed, Ng Yong Siang, Moses Siaw-Frimpong, Jeanne Sibiude, Bountoy Sibounheuang, Nidhal Siddig, Atif Siddiqui, Maqsood Ahmed Siddiqui, Louise Sigfrid, Fatoumata Sillah, Piret Sillaots, Catarina Silva, Maria Joao Silva, Rogério Silva, Benedict Sim Lim Heng, Wai Ching Sin, Dario Sinatti, Mahendra Singh, Punam Singh, Pompini Agustina Sitompul, Karisha Sivam, Vegard Skogen, Sue Smith, Benjamin Smood, Coilin Smyth, Morgane Snacken, Dominic So, Tze Vee Soh, Lene Bergendal Solberg, Joshua Solomon, Tom Solomon, Emily Somers, Agnès Sommet, Myung Jin Song, Rima Song, Tae Song, Jack Song Chia, Arne Søraas, Albert Sotto, Edouard Soum, Ana Chora Sousa, Marta Sousa, Maria Sousa Uva, Vicente Souza-Dantas, Mamadou Saliou Sow, Alexandra Sperry, Elisabetta Spinuzza, B. P. Sanka Ruwan Sri Darshana, Shiranee Sriskandan, Sarah Stabler, Thomas Staudinger, Stephanie-Susanne Stecher, Trude Steinsvik, Ymkje Stienstra, Birgitte Stiksrud, Eva Stolz, Amy Stone, Anca Streinu-Cercel, Adrian Streinu-Cercel, Geoff Strong, Ami Stuart, David Stuart, Richa Su, Decy Subekti, Gabriel Suen, Jacky Y. Suen, Prasanth Sukumar, Asfia Sultana, Charlotte Summers, Dubravka Supic, Deepashankari Suppiah, Magdalena Surovcová, Atie Suwarti, Andrey Svistunov, Sarah Syahrin, Augustina Sylverken, Konstantinos Syrigos, Jaques Sztajnbok, Konstanty Szuldrzynski, Shirin Tabrizi, Fabio S. Taccone, Lysa Tagherset, Shahdattul Mawarni Taib, Sara Taleb, Cheikh Talla, Jelmer Talsma, Renaud Tamisier, Maria Lawrensia Tampubolon, Kim Keat Tan, Yan Chyi Tan, Hiroyuki Tanaka, Taku Tanaka, Hayato Taniguchi, Huda Taqdees, Arshad Taqi, Coralie Tardivon, Yousef Tarek Kamal Mostafa, Ali Tarhabat, Pierre Tattevin, M Azhari Taufik, Hassan Tawfik, Tze Yuan Tee, João Teixeira, Sofia Tejada, Marie-Capucine Tellier, Sze Kye Teoh, Vanessa Teotonio, François Téoulé, Olivier Terrier, Nicolas Terzi, Hubert Tessier-Grenier, Adrian Tey, Alif Adlan Mohd Thabit, Anand Thakur, Zhang Duan Tham, Suvintheran Thangavelu, Elmi Theron, Vincent Thibault, Simon-Djamel Thiberville, Benoît Thill, Jananee Thirumanickam, Niamh Thompson, Shaun Thompson, Emma C. Thomson, David Thomson, Mathew Thorpe, Surain Raaj Thanga Thurai, Ryan S. Thwaites, Paul Tierney, Vadim Tieroshyn, Peter S. Timashev, Jean-François Timsit, Noémie Tissot, Fiona Toal, Jordan Zhien Yang Toh, Maria Toki, Kristian Tonby, Sia Loong Tonnii, Marta Torre, Antoni Torres, Margarida Torres, Rosario Maria Torres Santos-Olmo, Hernando Torres-Zevallos, Aboubacar Tounkara, Michael Towers, Fodé Amara Traoré, Tony Trapani, Cécile Tromeur, Ioannis Trontzas, Tiffany Trouillon, Jeanne Truong, Christelle Tual, Sarah Tubiana, Helen Tuite, Alexis F. Turgeon, Jean-Marie Turmel, Lance C.W. Turtle, Anders Tveita, Pawel Twardowski, Makoto Uchiyama, PG Ishara Udayanga, Andrew Udy, Roman Ullrich, Alberto Uribe, Asad Usman, Effua Usuf, Timothy M. Uyeki, Cristinava Vajdovics, Piero Valentini, Luís Val-Flores, Stijn Van de Velde, Marcel van den Berge, Machteld van der Feltz, Job van der Palen, Paul van der Valk, Nicky Van Der Vekens, Peter Van der Voort, Sylvie Van Der Werf, Laura van Gulik, Jarne Van Hattem, Carolien van Netten, Ilonka van Veen, Noémie Vanel, Henk Vanoverschelde, Michael Varrone, Shoban Raj Vasudayan, Charline Vauchy, Pavan Kumar Vecham, Shaminee Veeran, Aurélie Veislinger, Sebastian Vencken, Sara Ventura, Annelies Verbon, José Ernesto Vidal, César Vieira, Deepak Vijayan, Judit Villar, Pierre-Marc Villeneuve, Andrea Villoldo, Gayatri Vishwanathan, Benoit Visseaux, Hannah Visser, Chiara Vitiello, Manivanh Vongsouvath, Harald Vonkeman, Fanny Vuotto, Suhaila Abdul Wahab, Noor Hidayu Wahab, Nadirah Abdul Wahid, Marina Wainstein, Laura Walsh, Wan Fadzlina Wan Muhd Shukeri, Chih-Hsien Wang, Steve Webb, Katharina Weil, Tan Pei Wen, Hassi Wesam, Sanne Wesselius, T. Eoin West, Murray Wham, Bryan Whelan, Nicole White, Paul Henri Wicky, Aurélie Wiedemann, Surya Otto Wijaya, Keith Wille, Sue Willems, Bailey Williams, Patricia J. Williams, Virginie Williams, Jessica Wittman, Calvin Wong, Xin Ci Wong, Yew Sing Wong, Teck Fung Wong, Natalie Wright, Lim Saio Xian, Ioannis Xynogalas, Siti Rohani Binti Mohd Yakop, Masaki Yamazaki, Elizabeth Yarad, Yazdan Yazdanpanah, Nicholas Yee Liang Hing, Abdelrahman Yehia Mahmoud Abdelaal, Cécile Yelnik, Chian Hui Yeoh, Stephanie Yerkovich, Touxiong Yiaye, Toshiki Yokoyama, Hodane Yonis, Obada Yousif, Saptadi Yuliarto, Akram Zaaqoq, Marion Zabbe, Gustavo E. Zabert, Kai Zacharowski, Masliza Zahid, Maram Zahran, Nor Zaila Binti Zaidan, Maria Zambon, Miguel Zambrano, Alberto Zanella, Nurul Zaynah, Hiba Zayyad, Alexander Zoufaly, and David Zucman
Subjects: COVID-19, Non-respiratory symptoms, Respiratory symptoms, Risk factors, Mortality, Science (General), Q1-390, Social sciences (General), H1-99
Abstract: Background: COVID-19 is primarily known as a respiratory illness; however, many patients present to hospital without respiratory symptoms. The association between non-respiratory presentations of COVID-19 and outcomes remains unclear. We investigated risk factors and clinical outcomes in patients with no respiratory symptoms (NRS) and respiratory symptoms (RS) at hospital admission. Methods: This study describes clinical features, physiological parameters, and outcomes of hospitalised COVID-19 patients, stratified by the presence or absence of respiratory symptoms at hospital admission. RS patients had one or more of: cough, shortness of breath, sore throat, runny nose or wheezing; while NRS patients did not. Results: Of 178,640 patients in the study, 86.4 % presented with RS, while 13.6 % had NRS. NRS patients were older (median age: NRS: 74 vs RS: 65) and less likely to be admitted to the ICU (NRS: 36.7 % vs RS: 37.5 %). NRS patients had a higher crude in-hospital case-fatality ratio (NRS 41.1 % vs. RS 32.0 %), but a lower risk of death after adjusting for confounders (HR 0.88 [0.83–0.93]). Conclusion: Approximately one in seven COVID-19 patients presented at hospital admission without respiratory symptoms. These patients were older, had lower ICU admission rates, and had a lower risk of in-hospital mortality after adjusting for confounders.
Published: 2024
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125. The obstacle problem in masonry structures and cable nets

Author: Amendola, Ada, Mattei, Ornella, Milton, Graeme W., and Seppecher, Pierre
Subjects: Mathematics - Optimization and Control
Abstract: We consider the problem of finding a net that supports prescribed forces applied at prescribed points, yet avoids certain obstacles, with all the elements of the net under compression (strut net) or under tension (cable web). In the case of masonry structures, for instance, this consists in finding a strut net that supports the forces, is contained within the physical structure, and avoids regions that may be not accessible due, for instance, to the presence of holes. We solve such a problem in the two-dimensional case, where the prescribed forces are applied at the vertices of a convex polygon, and we treat the cases of both single and multiple obstacles. By approximating the obstacles by polygonal regions, the task reduces to identifying the feasible domain in a linear programming problem. For a single obstacle we show how the region $\Gamma$ available to the obstacle can be enlarged as much as possible in the sense that there is no other strut net, having a region $\Gamma_1$ available to the obstacle with $\Gamma_1 \subset\Gamma$. The case where some of the forces are reactive, unprescribed but reacting to the other prescribed forces, is also treated. It again reduces to identifying the feasible domain in a linear programming problem. Finally, one may allow a subset of the reactive forces to each act not at a prescribed point, but rather at any point on a prescribed line segment. Then the task reduces to identifying the feasible domain in a quadratic programming problem., Comment: 22 pages, 12 figures, 3 supplemental videos
Published: 2022
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126. Asteroid Taxonomy from Cluster Analysis of Spectrometry and Albedo

Author: Mahlke, Max, Carry, Benoit, and Mattei, Pierre-Alexandre
Subjects: Astrophysics - Earth and Planetary Astrophysics
Abstract: The classification of the minor bodies of the Solar System based on observables has been continuously developed and iterated over the past 40 years. While prior iterations followed either the availability of large observational campaigns or new instrumental capabilities opening new observational dimensions, we see the opportunity to improve primarily upon the established methodology. We developed an iteration of the asteroid taxonomy which allows the classification of partial and complete observations (i.e. visible, near-infrared, and visible-near-infrared spectrometry) and which reintroduces the visual albedo into the classification observables. The resulting class assignments are given probabilistically, enabling the uncertainty of a classification to be quantified. We built the taxonomy based on 2983 observations of 2125 individual asteroids, representing an almost tenfold increase of sample size compared with the previous taxonomy. The asteroid classes are identified in a lower-dimensional representation of the observations using a mixture of common factor analysers model. We identify 17 classes split into the three complexes C, M, and S, including the new Z-class for extremely-red objects in the main belt. The visual albedo information resolves the spectral degeneracy of the X-complex and establishes the P-class as part of the C-complex. We present a classification tool which computes probabilistic class assignments within this taxonomic scheme from asteroid observations. The taxonomic classifications of 6038 observations of 4526 individual asteroids are published. The ability to classify partial observations and the reintroduction of the visual albedo provide a taxonomy which is well suited for the current and future datasets of asteroid observations, in particular provided by the Gaia, MITHNEOS, NEO Surveyor, and SPHEREx surveys., Comment: Published in Astronomy and Astrophysics. The table of asteroid classifications and the templates of the defined taxonomic classes are available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsweb.u-strasbg.fr/cgi-bin/qcat?J/A+A/665/A26
Published: 2022
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127. Don't fear the unlabelled: safe semi-supervised learning via simple debiasing

Author: Schmutz, Hugo, Humbert, Olivier, and Mattei, Pierre-Alexandre
Subjects: Statistics - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Statistics - Computation, Statistics - Methodology
Abstract: Semi-supervised learning (SSL) provides an effective means of leveraging unlabelled data to improve a model performance. Even though the domain has received a considerable amount of attention in the past years, most methods present the common drawback of lacking theoretical guarantees. Our starting point is to notice that the estimate of the risk that most discriminative SSL methods minimise is biased, even asymptotically. This bias impedes the use of standard statistical learning theory and can hurt empirical performance. We propose a simple way of removing the bias. Our debiasing approach is straightforward to implement and applicable to most deep SSL methods. We provide simple theoretical guarantees on the trustworthiness of these modified methods, without having to rely on the strong assumptions on the data distribution that SSL theory usually requires. In particular, we provide generalisation error bounds for the proposed methods. We evaluate debiased versions of different existing SSL methods, such as the Pseudo-label method and Fixmatch, and show that debiasing can compete with classic deep SSL techniques in various settings by providing better calibrated models. Additionally, we provide a theoretical explanation of the intuition of the popular SSL methods.
Published: 2022

128. Model-agnostic out-of-distribution detection using combined statistical tests

Author: Bergamin, Federico, Mattei, Pierre-Alexandre, Havtorn, Jakob D., Senetaire, Hugo, Schmutz, Hugo, Maaløe, Lars, Hauberg, Søren, and Frellsen, Jes
Subjects: Statistics - Machine Learning, Computer Science - Machine Learning
Abstract: We present simple methods for out-of-distribution detection using a trained generative model. These techniques, based on classical statistical tests, are model-agnostic in the sense that they can be applied to any differentiable generative model. The idea is to combine a classical parametric test (Rao's score test) with the recently introduced typicality test. These two test statistics are both theoretically well-founded and exploit different sources of information based on the likelihood for the typicality test and its gradient for the score test. We show that combining them using Fisher's method overall leads to a more accurate out-of-distribution test. We also discuss the benefits of casting out-of-distribution detection as a statistical testing problem, noting in particular that false positive rate control can be valuable for practical out-of-distribution detection. Despite their simplicity and generality, these methods can be competitive with model-specific out-of-distribution detection algorithms without any assumptions on the out-distribution., Comment: Accepted at the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Published: 2022

129. Learning Behavioral Soft Constraints from Demonstrations

Author: Glazier, Arie, Loreggia, Andrea, Mattei, Nicholas, Rahgooy, Taher, Rossi, Francesca, and Venable, Brent
Subjects: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computers and Society
Abstract: Many real-life scenarios require humans to make difficult trade-offs: do we always follow all the traffic rules or do we violate the speed limit in an emergency? These scenarios force us to evaluate the trade-off between collective rules and norms with our own personal objectives and desires. To create effective AI-human teams, we must equip AI agents with a model of how humans make these trade-offs in complex environments when there are implicit and explicit rules and constraints. Agent equipped with these models will be able to mirror human behavior and/or to draw human attention to situations where decision making could be improved. To this end, we propose a novel inverse reinforcement learning (IRL) method: Max Entropy Inverse Soft Constraint IRL (MESC-IRL), for learning implicit hard and soft constraints over states, actions, and state features from demonstrations in deterministic and non-deterministic environments modeled as Markov Decision Processes (MDPs). Our method enables agents implicitly learn human constraints and desires without the need for explicit modeling by the agent designer and to transfer these constraints between environments. Our novel method generalizes prior work which only considered deterministic hard constraints and achieves state of the art performance., Comment: arXiv admin note: substantial text overlap with arXiv:2109.11018
Published: 2022

130. Bow-Tie Structures of Twitter Discursive Communities

Author: Mattei, Mattia, Pratelli, Manuel, Caldarelli, Guido, Petrocchi, Marinella, and Saracco, Fabio
Subjects: Computer Science - Social and Information Networks, Physics - Data Analysis, Statistics and Probability
Abstract: In the analysis of Twitter debate, the recent literature focused on discursive communities, i.e. clusters of accounts interacting among themselves via retweets. In the present work, we studied discursive communities in 8 different thematic Twitter datasets in various languages. Surprisingly, we observed that almost all discursive communities therein display a bow-tie structure during political or societal debates. Instead, they are absent when the argument of the discussion is different as sport events, as in the case of Euro2020 Turkish and Italian datasets. We furthermore analysed the quality of the content created in the various sectors of the different discursive communities, using the domain annotation from the fact-checking website Newsguard: we observe that, when the discursive community is affected by m/disinformation, the content with the lowest quality is the ones produced and shared in SCC and, in particular, a strong incidence of low- or non-reputable messages is present in the flow of retweets between the SCC and the OUT sectors. In this sense, in discursive communities affected by m/disinformation, the greatest part of the accounts has access to a great variety of contents, but whose quality is, in general, quite low; such a situation perfectly describes the phenomenon of infodemic, i.e. the access to "an excessive amount of information about a problem, which makes it difficult to identify a solution", according to WHO)., Comment: 47 pages, 25 figures, 7 tables
Published: 2022
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131. Author Correction: A novel antibiotic class targeting the lipopolysaccharide transporter

Author: Zampaloni, Claudia, Mattei, Patrizio, Bleicher, Konrad, Winther, Lotte, Thäte, Claudia, Bucher, Christian, Adam, Jean-Michel, Alanine, Alexander, Amrein, Kurt E., Baidin, Vadim, Bieniossek, Christoph, Bissantz, Caterina, Boess, Franziska, Cantrill, Carina, Clairfeuille, Thomas, Dey, Fabian, Di Giorgio, Patrick, du Castel, Pauline, Dylus, David, Dzygiel, Pawel, Felici, Antonio, García-Alcalde, Fernando, Haldimann, Andreas, Leipner, Matthew, Leyn, Semen, Louvel, Séverine, Misson, Pauline, Osterman, Andrei, Pahil, Karanbir, Rigo, Sébastien, Schäublin, Adrian, Scharf, Sebastian, Schmitz, Petra, Stoll, Theodor, Trauner, Andrej, Zoffmann, Sannah, Kahne, Daniel, Young, John A. T., Lobritz, Michael A., and Bradley, Kenneth A.
Published: 2024
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132. Author Correction: A new antibiotic traps lipopolysaccharide in its intermembrane transporter

Author: Pahil, Karanbir S., Gilman, Morgan S. A., Baidin, Vadim, Clairfeuille, Thomas, Mattei, Patrizio, Bieniossek, Christoph, Dey, Fabian, Muri, Dieter, Baettig, Remo, Lobritz, Michael, Bradley, Kenneth, Kruse, Andrew C., and Kahne, Daniel
Published: 2024
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133. Local anesthesia with blue-dyed lidocaine for a better patient’s tolerance during office-based laryngology procedures: how I do it

Author: Haddad, Ralph, Mattei, Alexia, and Giovanni, Antoine
Published: 2023
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134. Trigger related outcomes of takotsubo syndrome in a cancer population.

Author: Safdar, Ayesha, Ahmed, Talha, Liu, Victor Y, Addoumieh, Antoine, Agha, Ali M, Giza, Dana E, Balanescu, Dinu V, Donisan, Teodora, Dayah, Tariq, Lopez-Mattei, Juan C, Kim, Peter Y, Hassan, Saamir, Karimzad, Kaveh, Palaskas, Nicolas, Tsai, January Y, Iliescu, Gloria D, Yang, Eric H, Herrmann, Joerg, Marmagkiolis, Konstantinos, Angelini, Paolo, and Iliescu, Cezar A
Abstract: Takotsubo syndrome (TTS) occurs more frequently in cancer patients than in the general population, but the effect of specific TTS triggers on outcomes in cancer patients is not well studied.The study sought to determine whether triggering event (chemotherapy, immune-modulators vs. procedural or emotional stress) modifies outcomes in a cancer patient population with TTS.All cancer patients presenting with acute coronary syndrome (ACS) between December 2008 and December 2020 at our institution were enrolled in the catheterization laboratory registry. Demographic and clinical data of the identified patients with TTS were retrospective collected and further classified according to the TTS trigger. The groups were compared with regards to major adverse cardiac events, overall survival and recovery of left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS) after TTS presentation.Eighty one of the 373 cancer patients who presented with ACS met the Mayo criteria for TTS. The triggering event was determined to be "cancer specific triggers" (use of chemotherapy in 23, immunomodulators use in 7, and radiation in 4), and "traditional triggers" (medical triggers 22, and procedural 18 and emotional stress in 7). Of the 81 patients, 47 died, all from cancer-related causes (no cardiovascular mortality). Median survival was 11.9 months. Immunomodulator (IM) related TTS and radiation related TTS were associated with higher mortality during the follow-up. Patients with medical triggers showed the least recovery in LVEF and GLS while patients with emotional and chemotherapy triggers, showed the most improvement in LVEF and GLS, respectively.Cancer patients presenting with ACS picture have a high prevalence of TTS due to presence of traditional and cancer specific triggers. Survival and improvement in left ventricular systolic function seem to be related to the initial trigger for TTS.
Published: 2022

135. Advances in Multimodality Imaging in Cardio-Oncology: JACC State-of-the-Art Review.

Author: Baldassarre, Lauren A, Ganatra, Sarju, Lopez-Mattei, Juan, Yang, Eric H, Zaha, Vlad G, Wong, Timothy C, Ayoub, Chadi, DeCara, Jeanne M, Dent, Susan, Deswal, Anita, Ghosh, Arjun K, Henry, Mariana, Khemka, Abhishek, Leja, Monika, Rudski, Lawrence, Villarraga, Hector R, Liu, Jennifer E, Barac, Ana, and Scherrer-Crosbie, Marielle
Abstract: The population of patients with cancer is rapidly expanding, and the diagnosis and monitoring of cardiovascular complications greatly rely on imaging. Numerous advances in the field of cardio-oncology and imaging have occurred in recent years. This review presents updated and practical approaches for multimodality cardiovascular imaging in the cardio-oncology patient and provides recommendations for imaging to detect the myriad of adverse cardiovascular effects associated with antineoplastic therapy, such as cardiomyopathy, atherosclerosis, vascular toxicity, myocarditis, valve disease, and cardiac masses. Uniquely, we address the role of cardiovascular imaging in patients with pre-existing cardiomyopathy, pregnant patients, long-term survivors, and populations with limited resources. We also address future avenues of investigation and opportunities for artificial intelligence applications in cardio-oncology imaging. This review provides a uniform practical approach to cardiovascular imaging for patients with cancer.
Published: 2022

136. Microplastic in Drinking Water: A Pilot Study

Author: Eleonora Brancaleone, Daniela Mattei, Valentina Fuscoletti, Luca Lucentini, Gabriele Favero, Giancarlo Cecchini, Alessandro Frugis, Valentina Gioia, and Marco Lazzazzara
Subjects: microplastics, water, microplastics detection, Raman microspectroscopy, drinking water, groundwater, Biology (General), QH301-705.5, Microbiology, QR1-502, Biochemistry, QD415-436
Abstract: In recent years, microplastic pollution has been a hot topic as these compounds have been used in various production contexts such as health, food or technology due to their chemical and physical properties and “shelf-life,” making them almost indispensable products in daily life. On the other hand, they have a negative impact on the environment and, consequently, on biota and human health. It is therefore necessary to assess the actual presence of microplastics in drinking water by analysing real samples in order to estimate the possible exposure through drinking water consumption. In this pilot study, drinking water from different aqueous matrices was examined for the presence of microplastics and characterized in terms of shape, size, abundance and polymer type by Raman microspectroscopy analysis. Not all samples analysed were found to be contaminated with microplastics, indeed, some, as in the case of water kiosk samples, were found to be free of such contaminants. The results for the various matrices showed that the microplastics content ranged from less than 2 particles/L to a maximum of 5 + 1.5 particles/L, with sizes ranging from 30 to 100 μm and consisted of the most common polymers such as polyethylene, polypropylene or polyethylene terephthalate.
Published: 2024
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137. Effect of glycosylation on the affinity of the MTB protein Ag85B for specific antibodies: towards the design of a dual-acting vaccine against tuberculosis

Author: Roberta Bernardini, Sara Tengattini, Zhihao Li, Luciano Piubelli, Teodora Bavaro, Anamaria Bianca Modolea, Maurizio Mattei, Paola Conti, Stefano Marini, Yongmin Zhang, Loredano Pollegioni, Caterina Temporini, and Marco Terreni
Subjects: Lipoarabinomannan, Tuberculosis, Mycobacterium, Glycoconjugate, Antibodies, Vaccine, Biology (General), QH301-705.5
Abstract: Abstract Background To create a dual-acting vaccine that can fight against tuberculosis, we combined antigenic arabino-mannan analogues with the Ag85B protein. To start the process, we studied the impact of modifying different parts of the Ag85B protein on its ability to be recognized by antibodies. Results Through our research, we discovered that three modified versions of the protein, rAg85B-K30R, rAg85B-K282R, and rAg85B-K30R/K282R, retained their antibody reactivity in healthy individuals and those with tuberculosis. To further test the specificity of the sugar AraMan for AraMan antibodies, we used Human Serum Albumin glycosylated with AraMan-IME and Ara3Man-IME. Our findings showed that this specific sugar was fully and specifically modified. Bio-panning experiments revealed that patients with active tuberculosis exhibited a higher antibody response to Ara3Man, a sugar found in lipoarabinomannan (LAM), which is a major component of the mycobacterial cell wall. Bio-panning with anti-LAM plates could eliminate this increased response, suggesting that the enhanced Ara3Man response was primarily driven by antibodies targeting LAM. These findings highlight the importance of Ara3Man as an immunodominant epitope in LAM and support its role in eliciting protective immunity against tuberculosis. Further studies evaluated the effects of glycosylation on the antibody affinity of recombinant Ag85B and its variants. The results indicated that rAg85B-K30R/K282R, when conjugated with Ara3Man-IME, demonstrated enhanced antibody recognition compared to unconjugated or non-glycosylated versions. Conclusions Coupling Ara3Man to rAg85B-K30R/K282R could lead to the development of effective dual-acting vaccines against tuberculosis, stimulating protective antibodies against both AraMan and Ag85B, two key tuberculosis antigens.
Published: 2024
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138. Enhancing the Functional Performance of Patients with Late-Stage Age-Related Macular Degeneration Implanted with a Miniature Telescope using Rehabilitation Training

Author: Paola Sasso, Alfonso Savastano, Faustino Vidal-Aroca, Angelo Maria Minnella, Giuseppe Francione, Leonardo Sammarco, Valentina Cima, Ritangela Ghiraldelli, Roberta Mattei, and Stanislao Rizzo
Subjects: Late-stage age-related macular degeneration (AMD), Geographic atrophy, Visual impairment, Implantable ophthalmic device, Intraocular lens, Low vision, visual rehabilitation, speed reading, reading acuity, smaller-incision new generation implantable miniature telescope, SING IMT, Ophthalmology, RE1-994
Abstract: Abstract Introduction In this work, our aim is to report the functional outcomes of cataract surgery with smaller-incision new-generation miniature telescope (SING IMT) implantation followed by rehabilitation training in patients with central visual loss due to late-stage age-related macular degeneration (AMD). Methods This retrospective study included patients who were monocularly implanted with SING IMT and then followed a rehabilitation program based on 6 biweekly sessions focused on visual abilities, reading, writing, visual motor integration and mobility. A total of 11 participants were included in this study. Reading acuity (RA), reading speed (RS), and fixation stability (FS) were assessed biweekly at 6-, 8-, 10-, 12-, 14-, and 16-week follow-up visits after SING IMT implantation and at a final assessment at 24 weeks. Best-corrected distance visual acuity (BCDVA) was also measured at baseline and at the same postoperative timepoints. Results Mean baseline BCDVA was 12.5 ± 8.6 letter score. Both RA and RS were found to be significantly improved from the first rehabilitation session (6 weeks after surgery) to the last session (24 weeks after surgery). At the end of the rehabilitation program, mean RA was 0.45 ± 0.19 LogMAR and mean RS was 30.9 ± 17.6 words per minute. Moreover, all patients achieved a FS of 15 s or more after the last rehabilitation session. Most patients (55%) achieved an improvement of 15 letters in BCDVA at the end of the study. Conclusions This study suggests that rehabilitation training can improve visual functions of patients with late-stage AMD implanted with SING IMT in real-world tasks such as reading skills.
Published: 2024
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139. Vertical stabilization of tokamak plasmas via Extremum Seeking

Author: De Tommasi, Gianmaria, di Grazia, Luigi Emanuel, Dubbioso, Sara, Mattei, Massimiliano, Mele, Adriano, and Pironti, Alfredo
Subjects: Physics - Plasma Physics, 93D15
Abstract: In this paper we propose a vertical stabilization~(VS) control system for tokamak plasmas based on the extremum seeking (ES) algorithm. The gist of the proposed strategy is to inject an oscillating term in the control action and exploit a modified ES algorithm in order to bring to zero the average motion of the plasma along the unstable mode. In this way, the stabilization of the unstable vertical dynamic of the plasma is achieved. The approach is validated by means of both linear and nonlinear simulations of the overall~ITER tokamak magnetic control system, with the aim of demonstrating robust operation throughout the flat-top phase of a discharge and the capability of reacting to a variety of disturbances., Comment: 17 pages, 14 figures
Published: 2022

140. Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives

Author: Mattei, Pierre-Alexandre and Frellsen, Jes
Subjects: Statistics - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Statistics - Computation, Statistics - Methodology
Abstract: We revisit the theory of importance weighted variational inference (IWVI), a promising strategy for learning latent variable models. IWVI uses new variational bounds, known as Monte Carlo objectives (MCOs), obtained by replacing intractable integrals by Monte Carlo estimates -- usually simply obtained via importance sampling. Burda, Grosse and Salakhutdinov (2016) showed that increasing the number of importance samples provably tightens the gap between the bound and the likelihood. Inspired by this simple monotonicity theorem, we present a series of nonasymptotic results that link properties of Monte Carlo estimates to tightness of MCOs. We challenge the rationale that smaller Monte Carlo variance leads to better bounds. We confirm theoretically the empirical findings of several recent papers by showing that, in a precise sense, negative correlation reduces the variational gap. We also generalise the original monotonicity theorem by considering non-uniform weights. We discuss several practical consequences of our theoretical results. Our work borrows many ideas and results from the theory of stochastic orders.
Published: 2022

141. Belief Revision in Sentential Decision Diagrams

Author: Mattei, Lilith, Facchini, Alessandro, and Antonucci, Alessandro
Subjects: Computer Science - Artificial Intelligence
Abstract: Belief revision is the task of modifying a knowledge base when new information becomes available, while also respecting a number of desirable properties. Classical belief revision schemes have been already specialised to \emph{binary decision diagrams} (BDDs), the classical formalism to compactly represent propositional knowledge. These results also apply to \emph{ordered} BDDs (OBDDs), a special class of BDDs, designed to guarantee canonicity. Yet, those revisions cannot be applied to \emph{sentential decision diagrams} (SDDs), a typically more compact but still canonical class of Boolean circuits, which generalizes OBDDs, while not being a subclass of BDDs. Here we fill this gap by deriving a general revision algorithm for SDDs based on a syntactic characterisation of Dalal revision. A specialised procedure for DNFs is also presented. Preliminary experiments performed with randomly generated knowledge bases show the advantages of directly perform revision within SDD formalism., Comment: Extended version with proofs of a paper under review
Published: 2022

142. Strong and long-range radiative interaction between resonant transitions

Author: Ying, Lei, Mattei, Michael S., Liu, Boyuan, Zhu, Shi-Yao, Goldsmith, Randall H., and Yu, Zongfu
Subjects: Physics - Optics
Abstract: Enhancing the radiative interaction between quantum electronic transitions is of general interest. There are two important properties of radiative interaction: the range and the strength. There has been a trade-off between the range and the strength observed in the literature. Such apparent trade-off arises from the dispersion relation of photonic environments. A general recipe is developed to overcome such trade-off and to simultaneously enhance the range and the strength of radiative interactions.
Published: 2022
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143. Topological Moduli Space for Germs of Holomorphic Foliations III: Complete families

Author: Marín, David, Mattei, Jean-François, and Salem, Eliane
Subjects: Mathematics - Dynamical Systems, Mathematics - Classical Analysis and ODEs, Mathematics - Complex Variables, 37F75, 32M25, 32S50, 32S65, 34M
Abstract: In this work we use our previous results on the topological classification of generic singular foliation germs on $(\mathbb C^{2},0)$ to construct complete families: after fixing the semi-local topological invariants we prove the existence of a minimal family of foliation germs that contain all the topological classes and such that any equisingular global family with parameter space an arbitrary complex manifold factorizes through it., Comment: The paper entitled "Topologically complete families of germs of holomorphic foliations" with reference arXiv:2105.12688 (version 1) has been modified and divided in two parts: the paper "Topological moduli space for germs of holomorphic foliations II: Universal deformations" with reference arXiv:2105.12688v2 and the current paper
Published: 2022

144. When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data

Author: Awad, Edmond, Levine, Sydney, Loreggia, Andrea, Mattei, Nicholas, Rahwan, Iyad, Rossi, Francesca, Talamadupula, Kartik, Tenenbaum, Joshua, and Kleiman-Weiner, Max
Subjects: Computer Science - Artificial Intelligence, Computer Science - Computers and Society
Abstract: One of the most remarkable things about the human moral mind is its flexibility. We can make moral judgments about cases we have never seen before. We can decide that pre-established rules should be broken. We can invent novel rules on the fly. Capturing this flexibility is one of the central challenges in developing AI systems that can interpret and produce human-like moral judgment. This paper details the results of a study of real-world decision makers who judge whether it is acceptable to break a well-established norm: ``no cutting in line.'' We gather data on how human participants judge the acceptability of line-cutting in a range of scenarios. Then, in order to effectively embed these reasoning capabilities into a machine, we propose a method for modeling them using a preference-based structure, which captures a novel modification to standard ``dual process'' theories of moral judgment.
Published: 2022
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145. Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments

Author: Ganapini, Marianna B., Campbell, Murray, Fabiano, Francesco, Horesh, Lior, Lenchner, Jon, Loreggia, Andrea, Mattei, Nicholas, Rahgooy, Taher, Rossi, Francesca, Srivastava, Biplav, and Venable, Brent
Subjects: Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract: Current AI systems lack several important human capabilities, such as adaptability, generalizability, self-control, consistency, common sense, and causal reasoning. We believe that existing cognitive theories of human decision making, such as the thinking fast and slow theory, can provide insights on how to advance AI systems towards some of these capabilities. In this paper, we propose a general architecture that is based on fast/slow solvers and a metacognitive component. We then present experimental results on the behavior of an instance of this architecture, for AI systems that make decisions about navigating in a constrained environment. We show how combining the fast and slow decision modalities allows the system to evolve over time and gradually pass from slow to fast thinking with enough experience, and that this greatly helps in decision quality, resource consumption, and efficiency., Comment: arXiv admin note: substantial text overlap with arXiv:2110.01834
Published: 2022

146. Efficacy and Safety of Reparixin in Patients with Severe COVID-19 Pneumonia: A Phase 3, Randomized, Double-Blind Placebo-Controlled Study

Author: Piemonti, Lorenzo, Landoni, Giovanni, Voza, Antonio, Puoti, Massimo, Gentile, Ivan, Coppola, Nicola, Nava, Stefano, Mattei, Alessia, Marinangeli, Franco, Marchetti, Giulia, Bonfanti, Paolo, Mastroianni, Claudio Maria, Bassetti, Matteo, Crisafulli, Ernesto, Grossi, Paolo Antonio, Zangrillo, Alberto, Desai, Antonio, Merli, Marco, Foggia, Maria, Carpano, Marco, Schiavoni, Lorenzo, D’Arminio Monforte, Antonella, Bisi, Luca, Russo, Gianluca, Busti, Fabiana, Rovelli, Cristina, Perrotta, Elisabetta, Goisis, Giovanni, Gavioli, Elizabeth M., Toya, Sophie, De Pizzol, Maria, Mantelli, Flavio, Allegretti, Marcello, and Minnella, Enrico Maria
Published: 2023
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147. Special issue on Advanced statistical modeling and causal inference with complex data for better decision making

Author: Conversano, Claudio, Ding, Peng, Mattei, Alessandra, Panzera, Agnese, and Ragozini, Giancarlo
Published: 2023
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148. Current Limit Avoidance Algorithms for DEMO Operation

Author: di Grazia, Luigi Emanuel, Frattolillo, Domenico, De Tommasi, Gianmaria, and Mattei, Massimiliano
Published: 2023
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149. Earthquake Characteristics and Structural Properties of the Southern Tyrrhenian Basin from Full Seismic Wave Simulations

Author: Nardoni, Chiara, De Siena, Luca, Magrini, Fabrizio, Cammarano, Fabio, Maeda, Takuto, and Mattei, Elisabetta
Published: 2023
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150. Ultra-high field magnetic resonance imaging of the quadriceps tendon enthesis in healthy subjects

Author: Guenoun, Daphne, Wirth, Theo, Roche, Damien, Michel, Constance P., Daudé, Pierre, Ogier, Augustin C., Chagnaud, Christophe, Mattei, Jean Pierre, Pini, Lauriane, Guye, Maxime, Ollivier, Matthieu, Bendahan, David, and Guis, Sandrine
Published: 2023
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