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3. DiSCIoser: unlocking recovery potential of arm sensorimotor functions after spinal cord injury by promoting activity-dependent brain plasticity by means of brain-computer interface technology: a randomized controlled trial to test efficacy

Author

Emma Colamarino, Matteo Lorusso, Floriana Pichiorri, Jlenia Toppi, Federica Tamburella, Giada Serratore, Angela Riccio, Francesco Tomaiuolo, Alessandra Bigioni, Federico Giove, Giorgio Scivoletto, Febo Cincotti, and Donatella Mattia

Subjects
EEG-based Brain-Computer Interface, Spinal cord injury, Hand functional sensorimotor recovery, Brain plasticity, Motor imagery, Neurorehabilitation, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background Traumatic cervical spinal cord injury (SCI) results in reduced sensorimotor abilities that strongly impact on the achievement of daily living activities involving hand/arm function. Among several technology-based rehabilitative approaches, Brain-Computer Interfaces (BCIs) which enable the modulation of electroencephalographic sensorimotor rhythms, are promising tools to promote the recovery of hand function after SCI. The “DiSCIoser” study proposes a BCI-supported motor imagery (MI) training to engage the sensorimotor system and thus facilitate the neuroplasticity to eventually optimize upper limb sensorimotor functional recovery in patients with SCI during the subacute phase, at the peak of brain and spinal plasticity. To this purpose, we have designed a BCI system fully compatible with a clinical setting whose efficacy in improving hand sensorimotor function outcomes in patients with traumatic cervical SCI will be assessed and compared to the hand MI training not supported by BCI. Methods This randomized controlled trial will include 30 participants with traumatic cervical SCI in the subacute phase randomly assigned to 2 intervention groups: the BCI-assisted hand MI training and the hand MI training not supported by BCI. Both interventions are delivered (3 weekly sessions; 12 weeks) as add-on to standard rehabilitation care. A multidimensional assessment will be performed at: randomization/pre-intervention and post-intervention. Primary outcome measure is the Graded Redefined Assessment of Strength, Sensibility and Prehension (GRASSP) somatosensory sub-score. Secondary outcome measures include the motor and functional scores of the GRASSP and other clinical, neuropsychological, neurophysiological and neuroimaging measures. Discussion We expect the BCI-based intervention to promote meaningful cortical sensorimotor plasticity and eventually maximize recovery of arm functions in traumatic cervical subacute SCI. This study will generate a body of knowledge that is fundamental to drive optimization of BCI application in SCI as a top-down therapeutic intervention, thus beyond the canonical use of BCI as assistive tool. Trial registration Name of registry: DiSCIoser: improving arm sensorimotor functions after spinal cord injury via brain-computer interface training (DiSCIoser). Trial registration number: NCT05637775; registration date on the ClinicalTrial.gov platform: 05-12-2022.

Published
2023
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4. The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a statistical analysis plan for a randomized controlled trial

Author

Marta Cipriani, Floriana Pichiorri, Emma Colamarino, Jlenia Toppi, Federica Tamburella, Matteo Lorusso, Alessandra Bigioni, Giovanni Morone, Francesco Tomaiuolo, Filippo Santoro, Daniele Cordella, Marco Molinari, Febo Cincotti, Donatella Mattia, and Maria Puopolo

Subjects
EEG-based brain-computer interface, Stroke, Hand functional motor recovery, Neurorehabilitation, Randomized controlled trial, Statistical analysis plan, Medicine (General), R5-920
Abstract

Abstract Background Electroencephalography (EEG)-based brain-computer interfaces (BCIs) allow to modulate the sensorimotor rhythms and are emerging technologies for promoting post-stroke motor function recovery. The Promotoer study aims to assess the short and long-term efficacy of the Promotoer system, an EEG-based BCI assisting motor imagery (MI) practice, in enhancing post-stroke functional hand motor recovery. This paper details the statistical analysis plan of the Promotoer study. Methods The Promotoer study is a randomized, controlled, assessor-blinded, single-centre, superiority trial, with two parallel groups and a 1:1 allocation ratio. Subacute stroke patients are randomized to EEG-based BCI-assisted MI training or to MI training alone (i.e. no BCI). An internal pilot study for sample size re-assessment is planned. The primary outcome is the effectiveness of the Upper Extremity Fugl-Meyer Assessment (UE-FMA) score. Secondary outcomes include clinical, functional, and user experience scores assessed at the end of intervention and at follow-up. Neurophysiological assessments are also planned. Effectiveness formulas have been specified, and intention-to-treat and per-protocol populations have been defined. Statistical methods for comparisons of groups and for development of a predictive score of significant improvement are described. Explorative subgroup analyses and methodology to handle missing data are considered. Discussion The Promotoer study will provide robust evidence for the short/long-term efficacy of the Promotoer system in subacute stroke patients undergoing a rehabilitation program. Moreover, the development of a predictive score of response will allow transferring of the Promotoer system to optimal clinical practice. By carefully describing the statistical principles and procedures, the statistical analysis plan provides transparency in the analysis of data. Trial registration ClinicalTrials.gov NCT04353297 . Registered on April 15, 2020.

Published
2023
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7. Methods for SARS-CoV-2 hospital disinfection, in vitro observations

Author

Dora E. Corzo-Leon, Hadeel Mohammed Abbood, Rosa A. Colamarino, Markus F.C. Steiner, Carol Munro, Ian M. Gould, and Karolin Hijazi

Subjects
SARS-CoV-2, Virucidal, Ultraviolet-C, Ozonated water, Chlorhexidine, Sodium dichloroisocyanurate, Infectious and parasitic diseases, RC109-216, Public aspects of medicine, RA1-1270
Abstract

Summary: Introduction: Escalation of chemical disinfection during the COVID-19 pandemic has raised occupational hazard concerns. Alternative and potentially safer methods such as ultraviolet-C (UVC) irradiation and ozone have been proposed, notwithstanding the lack of standardized criteria for their use in the healthcare environment. Aim: Compare the virucidal activity of 70% ethanol, sodium dichloroisocyanurate (NaDCC), chlorhexidine, ozonated water, UVC-222 nm, UVC-254 nm against three SARS-CoV-2 variants of concern cultured in vitro. Methods: Inactivation of three SARS-CoV-2 variants (alpha, beta, gamma) by the following chemical methods was tested: ethanol 70%, NaDCC (100 ppm, 500 ppm, 1000 ppm), chlorhexidine (2%, 1% and 0.5%), ozonated water 7 ppm. For irradiation, a je2Care 222nm UVC Lamp was compared to a Sylvania G15 UV254 nm lamp. Results: Viral inactivation by >3 log was achieved with ethanol, NaDCC and chlorhexidine. The minor virucidal effect of ozonated water was

Published
2024
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8. DiSCIoser: unlocking recovery potential of arm sensorimotor functions after spinal cord injury by promoting activity-dependent brain plasticity by means of brain-computer interface technology: a randomized controlled trial to test efficacy

Author

Colamarino, Emma, Lorusso, Matteo, Pichiorri, Floriana, Toppi, Jlenia, Tamburella, Federica, Serratore, Giada, Riccio, Angela, Tomaiuolo, Francesco, Bigioni, Alessandra, Giove, Federico, Scivoletto, Giorgio, Cincotti, Febo, and Mattia, Donatella

Published
2023
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9. The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a statistical analysis plan for a randomized controlled trial

Author

Cipriani, Marta, Pichiorri, Floriana, Colamarino, Emma, Toppi, Jlenia, Tamburella, Federica, Lorusso, Matteo, Bigioni, Alessandra, Morone, Giovanni, Tomaiuolo, Francesco, Santoro, Filippo, Cordella, Daniele, Molinari, Marco, Cincotti, Febo, Mattia, Donatella, and Puopolo, Maria

Published
2023
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13. Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation

Author

Floriana Pichiorri, Jlenia Toppi, Valeria de Seta, Emma Colamarino, Marcella Masciullo, Federica Tamburella, Matteo Lorusso, Febo Cincotti, and Donatella Mattia

Subjects
Brain computer interface, EEG, EMG, Corticomuscolar coherence, Stroke, Graph theory, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract Background Brain-Computer Interfaces (BCI) promote upper limb recovery in stroke patients reinforcing motor related brain activity (from electroencephalogaphy, EEG). Hybrid BCIs which include peripheral signals (electromyography, EMG) as control features could be employed to monitor post-stroke motor abnormalities. To ground the use of corticomuscular coherence (CMC) as a hybrid feature for a rehabilitative BCI, we analyzed high-density CMC networks (derived from multiple EEG and EMG channels) and their relation with upper limb motor deficit by comparing data from stroke patients with healthy participants during simple hand tasks. Methods EEG (61 sensors) and EMG (8 muscles per arm) were simultaneously recorded from 12 stroke (EXP) and 12 healthy participants (CTRL) during simple hand movements performed with right/left (CTRL) and unaffected/affected hand (EXP, UH/AH). CMC networks were estimated for each movement and their properties were analyzed by means of indices derived ad-hoc from graph theory and compared among groups. Results Between-group analysis showed that CMC weight of the whole brain network was significantly reduced in patients during AH movements. The network density was increased especially for those connections entailing bilateral non-target muscles. Such reduced muscle-specificity observed in patients was confirmed by muscle degree index (connections per muscle) which indicated a connections’ distribution among non-target and contralateral muscles and revealed a higher involvement of proximal muscles in patients. CMC network properties correlated with upper-limb motor impairment as assessed by Fugl-Meyer Assessment and Manual Muscle Test in patients. Conclusions High-density CMC networks can capture motor abnormalities in stroke patients during simple hand movements. Correlations with upper limb motor impairment support their use in a BCI-based rehabilitative approach.

Published
2023
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22. Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients

Author

Valeria de Seta, Jlenia Toppi, Emma Colamarino, Rita Molle, Filippo Castellani, Febo Cincotti, Donatella Mattia, and Floriana Pichiorri

Subjects
EEG, Electromyography (EMG), CMC, BCI—brain computer interface, hybrid BCI, stroke, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Brain-Computer Interface (BCI) systems for motor rehabilitation after stroke have proven their efficacy to enhance upper limb motor recovery by reinforcing motor related brain activity. Hybrid BCIs (h-BCIs) exploit both central and peripheral activation and are frequently used in assistive BCIs to improve classification performances. However, in a rehabilitative context, brain and muscular features should be extracted to promote a favorable motor outcome, reinforcing not only the volitional control in the central motor system, but also the effective projection of motor commands to target muscles, i.e., central-to-peripheral communication. For this reason, we considered cortico-muscular coupling (CMC) as a feature for a h-BCI devoted to post-stroke upper limb motor rehabilitation. In this study, we performed a pseudo-online analysis on 13 healthy participants (CTRL) and 12 stroke patients (EXP) during executed (CTRL, EXP unaffected arm) and attempted (EXP affected arm) hand grasping and extension to optimize the translation of CMC computation and CMC-based movement detection from offline to online. Results showed that updating the CMC computation every 125 ms (shift of the sliding window) and accumulating two predictions before a final classification decision were the best trade-off between accuracy and speed in movement classification, independently from the movement type. The pseudo-online analysis on stroke participants revealed that both attempted and executed grasping/extension can be classified through a CMC-based movement detection with high performances in terms of classification speed (mean delay between movement detection and EMG onset around 580 ms) and accuracy (hit rate around 85%). The results obtained by means of this analysis will ground the design of a novel non-invasive h-BCI in which the control feature is derived from a combined EEG and EMG connectivity pattern estimated during upper limb movement attempts.

Published
2022
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23. Infections and multiple sclerosis: Recommendations from the French Multiple Sclerosis Society

Author

Papeix, C., Donzé, C., Lebrun-Frénay, C., Laplaud, D., Thouvenot, E., Ayrignac, X., Pourcher-Martinez, V., Zéphir, H., de Seze, J., Michel, L., Bensa, C., Cara-Dalliere, C., Guen-noc, A.M., Casez, O., Maarouf, A., Bourre, B., Kwiatkowski, A., Cohen, M., Maillart, E., Collongues, N., Louapre, C., Androdias, G., Guegen, A., Audoin, B., Mattey, G., Bernady, P., Faucheux, J.M., Labauge, P., Meckies, C., Stankoff, B., Tourniaire, P., Dinh, A., Guennoc, A.M., Durnad-Dubief, F., Wiertlewski, S., Derache, N., Le page, E., Pittion, S., Vukusic, S., Clavelou, P., Heinzlef, O., Colamarino, R., Planque, E., Rico, A., Sheiber nogueira, C., de Seze, M., Ciron, J., Alchaar, H., Bensmail, D., Biotti, D., Branger, P., Brochet, B., Castan, B., Creange, A., Creisson, E., DeBroucker, T., Depaz, R., Douay, X., Dulau, C., Faucher, M., Fournier, M., Fromont, A., Gallien, P., Gout, O., Grimaud, J., Hervé, Y., Kerbrat, A., Kremer, L., Lanotte, L., Magy, L., Mania, A., Maurousset, A., Moisset, X., Montcuquet, A., Moreau, T., Morel, N., Patry, I., Peaureaux, D., Pouget, M.C., Ruet, A., Saint-Val, C., Stahl, J.P., Taithe, F., Tattevin, P., Vaillant, M., Vuoto, F., and Donze, C.

Published
2021
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24. COMPARISON OF TWO METHODS OF FIXATION OF SUPRACONDYLAR FRACTURES OF THE HUMERUS IN CHILDREN

Author

HENRIQUE MELO NATALIN, JÉSSICA COLAMARINO SESSA DA SILVA, and JOSÉ BATISTA VOLPON

Subjects
Humeral Fractures, Bone Wires, Children, Medicine, Orthopedic surgery, RD701-811
Abstract

ABSTRACT Objective: To compare the outcomes of the fixation of complete and displaced supracondylar humeral fractures in children with two different Kirschner wire configurations. Methods: The type of fixation was randomized to either crossed (19 cases), or two divergent lateral Kirschner wires (24 cases). The comparison was made six months later between the two treated groups and each group with the non-fractured elbow (clinical alignment, range of motion, Baumann angle, and lateral humeral capitellar angle). Results: 43 children were evaluated (65% boys) with a mean age of six years and five months. The carrying angle (p = 0.94), extension (p = 0.89), and the Flynn´s criteria (p = 0.56) were similar between the groups. The flexion was slightly smaller for the crossed wire group (p = 0.04), but similar to the uninjured side. The Baumann angle was not different between the two fixations (p = 0.79) and the contralateral side (p = 0.1). The lateral humeral capitellar angle was slightly greater for the lateral pinning (p = 0.08), but with no difference with the uninjured elbow (p = 0.62). No iatrogenic injuries were observed. Conclusion: Both fixations presented similar outcomes that did not significantly affect the carrying angle in relation to the non-fractured side. Level of evidence II, Therapeutic study - Investigating the results of treatment.

Published
2021
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25. EEG-Derived Markers to Improve Prognostic Evaluation of Disorders of Consciousness

Author

Toppi, Jlenia, Quattrociocchi, Ilaria, Riccio, Angela, D'Ippolito, Mariagrazia, Aloisi, Marta, Colamarino, Emma, Pichiorri, Floriana, Cincotti, Febo, Formisano, Rita, and Mattia, Donatella

Abstract

Disorders of consciousness (DoC) are characterized by alteration in arousal and/or awareness commonly caused by severe brain injury. There exists a consensus on adopting advanced neuroimaging and electrophysiological procedures to improve diagnosis/prognosis of DoC patients. Currently, these procedures are prevalently applied in a research-oriented context and their translation into clinical practice is yet to come. The aim of the study consisted in the identification of measures derived from routinary electroencephalography (EEG) able to support clinicians in the prediction of DoC patients’ outcome. In the present study, a routine EEG was recorded during rest from a sample of 58 DoC patients clinically diagnosed as Unresponsive Wakefulness State (UWS) and Minimally Conscious State (MCS) and followed-up for 3 months. EEG-based features characterizing brain activity in terms of spectral content and resting state networks organization were used in a predictive machine learning model to i) identify which were the most promising features in predicting patients’ exit from the DoC, regardless of the clinical diagnosis and ii) verify whether such features would have been the same best discriminating UWS from MCS or specific of the outcome prediction. A predictive machine learning model was built on EEG features related to spectral content and resting state networks which returned up to 85% of performance accuracy in outcome prediction and 76% in DoC state recognition (UWS vs MCS). We provided preliminary evidence for the exploitation of a routine EEG to improve the clinical management of non-communicative patients to be confirmed in a larger DoC population.

Published
2024
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27. A Scoping Review of Technology-Based Approaches for Upper Limb Motor Rehabilitation after Stroke: Are We Really Targeting Severe Impairment?

Author

Colamarino, Emma, Morone, Giovanni, Toppi, Jlenia, Riccio, Angela, Cincotti, Febo, Mattia, Donatella, and Pichiorri, Floriana

Subjects
*STROKE rehabilitation, *RANDOMIZED controlled trials, *STROKE patients, *STROKE, *ACTION research
Abstract

Technology-based approaches for upper limb (UL) motor rehabilitation after stroke are mostly designed for severely affected patients to increase their recovery chances. However, the available randomized controlled trials (RCTs) focused on the efficacy of technology-based interventions often include patients with a wide range of motor impairment. This scoping review aims at overviewing the actual severity of stroke patients enrolled in RCTs that claim to specifically address UL severe motor impairment. The literature search was conducted on the Scopus and PubMed databases and included articles from 2008 to May 2024, specifically RCTs investigating the impact of technology-based interventions on UL motor functional recovery after stroke. Forty-eight studies were selected. They showed that, upon patients' enrollment, the values of the UL Fugl-Meyer Assessment and Action Research Arm Test covered the whole range of both scales, thus revealing the non-selective inclusion of severely impaired patients. Heterogeneity in terms of numerosity, characteristics of enrolled patients, trial design, implementation, and reporting was present across the studies. No clear difference in the severity of the included patients according to the intervention type was found. Patient stratification upon enrollment is crucial to best direct resources to those patients who will benefit the most from a given technology-assisted approach (personalized rehabilitation). [ABSTRACT FROM AUTHOR]

Published
2024
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28. Urinary tract infections and multiple sclerosis: Recommendations from the French Multiple Sclerosis Society

Author

Donzé, C., Papeix, C., Lebrun-Frénay, C., Collongues, N., de Seze, M., Dinh, A., Even, A., Scheiber-Nogueira, C., Bensa, C., Bourre, B., Carra-Dallière, C., Ciron, J., Cohen, M., Guennoc, A.M., Louapre, C., Lebreton, F., Michel, L., Maillart, E., Audoin, B., Ayrignac, X., Bernady, P., Brochet, B., Clavelou, P., Colamarino, R., Declemy, A., de Seze, J., Derache, N., Faucheux, J.-M., Heinzlef, O., Labauge, P., Laplaud, D., Lepage, E., Leray, E., Magy, L., Mathey, G., Mekies, C., Mondain, V., Planque, E., Pelletier, J., Pittion, S., Stankhof, B., Tournaire, P., Thouvenot, E., Vukusic, S., Wiertlevski, S., Zephir, H., Alchaar, H., Androdias, G., Benazet, M., Bensmail, D., Biotti, D., Blanchard-Dauphin, A., Bonnan, M., Boutière, C., Branger, P., Bresch, S., Bru, J.-P., Camdessanché, J.-P., Castel Canal, E., Coustans, M., Casez, O., Castan, B., Creange, A., Creisson, E., De Broucker, T., Depaz, R., Douay, X., Dulau, C., Durand-Dubief, F., Fagniez, O., Faucher, M., Floch, A., Fournier, M., Fromont, A., Gallien, P., Gamé, X., Gault, D., Gayou, A., Giroux, M., Gout, O., Grimaud, J., Hautecoeur, P., Kerbrat, A., Kremer, L., Kwiatkowski, A., Labeyrie, C., Lachaud, S., Lanctin-Garcia, C., Lanotte, L., Manchon, E., Maurousset, A., Milor, A.-M., Moisset, X., Mont-Cuquet, A., Moreau, T., Ouallet, J.-C., Patry, I., Peaureaux, D., Pouget, M.-C., Pourcher Martinez, V., Radot, C., Ruet, A., Saint-Val, C., Salmon, A., Taithe, F., Tatevin, P., Vaillant, M., Stahl, J.-P., Vuoto, F., Zaenker, C., and Lebrun-Frenay, C.

Published
2020
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31. Ti[O.sub.2] Industry: Painful Results Not Shared Across Value Chain

Author

Colamarino, Gerald

Subjects
Business, Chemicals, plastics and rubber industries
Abstract

The Ti[O.sub.2] industry has experienced three extremely difficult quarters, as rapid decreases in underlying demand, followed by destocking, led to significant decreases in demand. Multinational producers' (MNPs) volume in Q4 [...]

Published
2023

32. The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a study protocol for a randomized controlled trial to test early and long-term efficacy and to identify determinants of response

Author

Donatella Mattia, Floriana Pichiorri, Emma Colamarino, Marcella Masciullo, Giovanni Morone, Jlenia Toppi, Iolanda Pisotta, Federica Tamburella, Matteo Lorusso, Stefano Paolucci, Maria Puopolo, Febo Cincotti, and Marco Molinari

Subjects
EEG-based brain-computer interface, Stroke, Hand functional motor recovery, Brain plasticity, Motor learning, Motor imagery, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background Stroke is a leading cause of long-term disability. Cost-effective post-stroke rehabilitation programs for upper limb are critically needed. Brain-Computer Interfaces (BCIs) which enable the modulation of Electroencephalography (EEG) sensorimotor rhythms are promising tools to promote post-stroke recovery of upper limb motor function. The “Promotoer” study intends to boost the application of the EEG-based BCIs in clinical practice providing evidence for a short/long-term efficacy in enhancing post-stroke hand functional motor recovery and quantifiable indices of the participants response to a BCI-based intervention. To these aims, a longitudinal study will be performed in which subacute stroke participants will undergo a hand motor imagery (MI) training assisted by the Promotoer system, an EEG-based BCI system fully compliant with rehabilitation requirements. Methods This longitudinal 2-arm randomized controlled superiority trial will include 48 first ever, unilateral, subacute stroke participants, randomly assigned to 2 intervention groups: the BCI-assisted hand MI training and a hand MI training not supported by BCI. Both interventions are delivered (3 weekly session; 6 weeks) as add-on regimen to standard intensive rehabilitation. A multidimensional assessment will be performed at: randomization/pre-intervention, 48 h post-intervention, and at 1, 3 and 6 month/s after end of intervention. Primary outcome measure is the Fugl-Meyer Assessment (FMA, upper extremity) at 48 h post-intervention. Secondary outcome measures include: the upper extremity FMA at follow-up, the Modified Ashworth Scale, the Numeric Rating Scale for pain, the Action Research Arm Test, the National Institute of Health Stroke Scale, the Manual Muscle Test, all collected at the different timepoints as well as neurophysiological and neuroimaging measures. Discussion We expect the BCI-based rewarding of hand MI practice to promote long-lasting retention of the early induced improvement in hand motor outcome and also, this clinical improvement to be sustained by a long-lasting neuroplasticity changes harnessed by the BCI-based intervention. Furthermore, the longitudinal multidimensional assessment will address the selection of those stroke participants who best benefit of a BCI-assisted therapy, consistently advancing the transfer of BCIs to a best clinical practice. Trial registration Name of registry: BCI-assisted MI Intervention in Subacute Stroke (Promotoer). Trial registration number: NCT04353297 ; registration date on the ClinicalTrial.gov platform: April, 15/2020.

Published
2020
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33. Parallel Factorization to Implement Group Analysis in Brain Networks Estimation

Author

Andrea Ranieri, Floriana Pichiorri, Emma Colamarino, Valeria de Seta, Donatella Mattia, and Jlenia Toppi

Subjects
connectivity estimation, tensor decomposition, parallel factorization, group analysis, EEG, partial directed coherence, Chemical technology, TP1-1185
Abstract

When dealing with complex functional brain networks, group analysis still represents an open issue. In this paper, we investigated the potential of an innovative approach based on PARAllel FActorization (PARAFAC) for the extraction of the grand average connectivity matrices from both simulated and real datasets. The PARAFAC approach was solved using three different numbers of rank-one tensors (PAR-FACT). Synthetic data were parametrized according to different levels of three parameters: network dimension (NODES), number of observations (SAMPLE-SIZE), and noise (SWAP-CON) in order to investigate the way they affect the grand average estimation. PARAFAC was then tested on a real connectivity dataset, derived from EEG data of 17 healthy subjects performing wrist extension with left and right hand separately. Findings on both synthetic and real data revealed the potential of the PARAFAC algorithm as a useful tool for grand average extraction. As expected, the best performances in terms of FPR, FNR, and AUC were achieved for great values of sample size and low noise level. A crucial role has been revealed for the PAR-FACT parameter, revealing that an increase in the number of rank-one tensors solving the PARAFAC problem leads to an increase in FPR values and, thus, to a worse grand average estimation.

Published
2023
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34. Study of NMDA Antagonists and Neuropathic Pain (NMDA)

Author

Dr Malou Navez, Pain Clinic, Saint-Etienne Hopital, Dr Marc Sorel, Pain Clinic, Nemours Hospital, Dr Anne-Margot Duclot, Pain Clinic, Paris Rotschild Hospital, Dr Monique Belon, Pain Clinic, Aurillac Hospital, Dr Marie-Christine Crosmary/Dr Renato Colamarino, Pain Clinic, Vichy Hospital, Dr Mohamed El Ayadi, Pain Clinic, Issoire Hospital, and Dr Géraldine Brumauld de Montgazon, Pain Clinic, La Rochelle Hospital

Published
2017

38. Industry: Destocking, Slowing Economies, and Supplier Response

Author

Colamarino, Gerald

Subjects
Business, Chemicals, plastics and rubber industries
Abstract

The second half of 2022 proved a difficult period for the global [TiO.sub.2] industry. Following a very strong first half of 2022, sales decreased dramatically. As underlying demand weakened, customer [...]

Published
2023

39. Immunization and multiple sclerosis: Recommendations from the French Multiple Sclerosis Society

Author

Abadie, V., Achour, C., Ader, F., Alchaar, H., Alkhedr, A., Andreux, F., Androdias, G., Arjmand, R., Audoin, B., Audry, D., Aufauvre, D., Autreaux, C., Ayrignac, X., Bailbe, M., Benazet, M., Bensa, C., Bensmail, D., Berger, E., Bernady, P., Bertagna, Y., Biotti, D., Blanchard-Dauphin, A., Bonenfant, J., Bonnan, M., Bonnemain, B., Borgel, F., Botelho-Nevers, E., Boucly, S., Bourre, B., Boutière, C., Branger, P., Brassat, D., Bresch, S., Breuil, V., Brochet, B., Brugeilles, H., Bugnon, P., Cabre, P., Camdessanché, J.-P., Carra-Dalière, C., Casez, O., Chamouard, J.-M., Chassande, B., Chataignier, P., Chbicheb, M., Chenet, A., Ciron, J., Clavelou, P., Cohen, M., Colamarino, R., Collongues, N., Coman, I., Corail, P.-R., Courtois, S., Coustans, M., Creange, A., Creisson, E., Daluzeau, N., Davenas, C., De Seze, J., Debouverie, M., Depaz, R., Derache, N., Divio, L., Douay, X., Dulau, C., Durand-Dubief, F., Edan, G., Elias, Z., Fagniez, O., Faucher, M., Faucheux, J.-M., Fournier, M., Gagneux-Brunon, A., Gaida, P., Galli, P., Gallien, P., Gaudelus, J., Gault, D., Gayou, A., Genevray, M., Gentil, A., Gere, J., Gignoux, L., Giroux, M., Givron, P., Gout, O., Grimaud, J., Guennoc, A.-M., Hadhoum, N., Hautecoeur, P., Heinzlef, O., Jaeger, M., Jeannin, S., Kremer, L., Kwiatkowski, A., Labauge, P., Labeyrie, C., Lachaud, S., Laffont, I., Lanctin-Garcia, C., Lannoy, J., Lanotte, L., Laplaud, D., Latombe, D., Lauxerois, M., Le Page, E., Lebrun-Frenay, C., Lejeune, P., Lejoyeux, P., Lemonnier, B., Leray, E., Loche, C.-M., Louapre, C., Lubetzki, C., Maarouf, A., Mada, B., Magy, L., Maillart, E., Manchon, E., Marignier, R., Marque, P., Mathey, G., Maurousset, A., Mekies, C., Merienne, M., Michel, L., Milor, A.-M., Moisset, X., Montcuquet, A., Moreau, T., Morel, N., Moussa, M., Naudillon, J.-P., Normand, M., Olive, P., Ouallet, J.-C., Outteryck, O., Pacault, C., Papeix, C., Patry, I., Peaureaux, D., Pelletier, J., Pichon, B., Pittion, S., Planque, E., Pouget, M.-C., Pourcher, V., Radot, C., Robert, I., Rocher, F., Ruet, A., Saint-Val, C., Salle, J.-Y., Salmon, A., Sartori, E., Schaeffer, S., Stankhof, B., Taithe, F., Thouvenot, E., Tizon, C., Tourbah, A., Tourniaire, P., Vaillant, M., Vermersch, P., Vidil, S., Wahab, A., Warter, M.-H., Wiertlewski, S., Wiplosz, B., Wittwer, B., Zaenker, C., Zephir, H., Lebrun, C., and Vukusic, S.

Published
2019
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40. Dextromethorphan and memantine after ketamine analgesia: a randomized control trial

Author

Martin E, Sorel M, Morel V, Marcaillou F, Picard P, Delage N, Tiberghien F, Crosmary MC, Najjar M, Colamarino R, Créach C, Lietar B, Brumauld de Montgazon G, Margot-Duclot A, Loriot MA, Narjoz C, Lambert C, Pereira B, and Pickering G

Subjects
N-methyl-D-aspartate antagonists, peripheral neuropathic pain, drug relay, cognitive-affective status, health-related quality of life, Therapeutics. Pharmacology, RM1-950
Abstract

Elodie Martin,1 Marc Sorel,2 Véronique Morel,3 Fabienne Marcaillou,4 Pascale Picard,4 Noémie Delage,4 Florence Tiberghien,5 Marie-Christine Crosmary,6 Mitra Najjar,6 Renato Colamarino,6 Christelle Créach,7,8 Béatrice Lietar,7 Géraldine Brumauld de Montgazon,9 Anne Margot-Duclot,10 Marie-Anne Loriot,11,12 Céline Narjoz,11,12 Céline Lambert,13 Bruno Pereira,13 Gisèle Pickering1,31Université Clermont Auvergne, Pharmacologie Fondamentale Et Clinique de la Douleur, Neuro-Dol, Inserm 1107, F-63000 Clermont-Ferrand, France; 2Centre D’evaluation et de Traitement de la Douleur/soins Palliatifs, Nemours, France; 3CHU Clermont-Ferrand, Centre de Pharmacologie Clinique/Centre d’investigation Clinique Inserm 1405, F-63003 Clermont-Ferrand cedex, France; 4Centre d’Evaluation et de Traitement de la Douleur, CHU de Clermont-Ferrand, France; 5Centre d’evaluation et de Traitement de la Douleur/soins Palliatifs, CHU Jean Minjoz, Besançon, France; 6Centre d’evaluation et de Traitement de la Douleur, CH Jacques Lacarin Vichy, France; 7Centre d’evaluation et de Traitement de la Douleur, CHU de Saint-etienne, France; 8Inserm U1028 & Umr 5292, Centre de Neurosciences de Lyon, Université Lyon & Jean-monnet De Saint-etienne, France; 9Centre d’evaluation et de Traitement de la Douleur/soins Palliatifs, CH La Rochelle, France; 10Centre d’evaluation et de Traitement de la Douleur, Fondation A de Rothschild, Paris, France; 11Service de biochimie, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, Paris, France; 12Inserm UMR-S 1147, Université Paris Descartes, Paris, France; 13CHU Clermont-Ferrand, Délégation Recherche Clinique & Innovation - Villa annexe IFSI, 58 Rue Montalembert, F-63003 Clermont-Ferrand cedex, FrancePurpose: Intravenous ketamine is often prescribed in severe neuropathic pain. Oral N-methyl-D-aspartate receptor (NMDAR) antagonists might prolong pain relief, reducing the frequency of ketamine infusions and hospital admissions. This clinical trial aimed at assessing whether oral dextromethorphan or memantine might prolong pain relief after intravenous ketamine.Patients and methods: A multicenter randomized controlled clinical trial included 60 patients after ketamine infusion for refractory neuropathic pain. Dextromethorphan (90 mg/day), memantine (20 mg/day) or placebo was given for 12 weeks (n=20 each) after ketamine infusion. The primary endpoint was pain intensity at one month. Secondary endpoints included pain, sleep, anxiety, depression, cognitive function and quality of life evaluations up to 12 weeks.Results: At 1 month, dextromethorphan maintained ketamine pain relief (Numeric Pain Scale: 4.01±1.87 to 4.05±2.61, p=0.53) and diminished pain paroxysms (p=0.03) while pain intensity increased significantly with memantine and placebo (p=0.04). At 3 months, pain remained lower than at inclusion (p=0.001) and was not significantly different in the three groups. Significant benefits were observed on cognitive-affective domains and quality of life for dextromethorphan and memantine (p

Published
2019

42. Natalizumab treatment shows low cumulative probabilities of confirmed disability worsening to EDSS milestones in the long-term setting

Author

Correale, Jorge, Caride, Alejandro, Deri, Norma H., Ballario, Carlos, Broadley, Simon, Kneebone, Chris, Barnett, Michael, Pollard, John, Hodgkinson, Suzanne, Kermode, Allan, Macdonell, Richard, King, John, Butzkueven, Helmut, Lechner-Scott, Jeannette, Saines, Noel, Slee, Mark, Plummer, Chris, Willekens, Barbara, Vanopdenbosch, Ludo, Belachew, Shibeshih, Phan-Ba, Rémy, Delvaux, Valérie, Bissay, Veronique, Debruyne, Jan, Decoo, Danny, Crols, Roeland, Symons, Anoek, Nagels, Guy, Van Pesch, Vincent, Sindic, Christian, Dubois, Benedicte, Medaer, Robert, D'Hooghe, Marie, Guillaume, Daniel, De Smet, Eric, Seeldrayers, Pierrette, Lysandropoulos, Andreas, Vokaer, Mathieu, Geens, Karine, Willems, Christina, Denayer, Pierre, Bureau, Michel, Retif, Cecile, Dupuis, Michel, Bouquiaux, Olivier, Vanderdonckt, Patrick, van Landegem, William, Caekebeke, Jo, Van Ingelghem, Erwin, Peeters, Katelijne, Gerard, Pascale, de Noordhout, Alain Maertens, Desfontaines, Philippe, Urbain, Etienne, Declercq, Inge, Van Wijmeersch, Bart, Vanroose, Erwin, Wibail, Alain, Barthomolé, Emmanuel, Ursell, Melanie, Sweet, Margaret Elizabeth, Howse, David, Jichici, Draga, Shawush, Melad, Namaka, Mike, Traboulsee, Anthony, Hashimoto, Stan, Lo, Raymond, Marchetti, Paul, Lapierre, Yves, Jacques, Francois, MacLean, Gregg, Bhan, Virender, Duquette, Pierre, Stewart, Bradley, Paulseth, John, Kremenchutzky, Marcelo, Vorobeychik, Galina, O'Connor, Paul, Grand'Maison, François, Havrdova, Eva, Meluzinová, Eva, Valis, Martin, Talab, Radomír, Stourac, Pavel, Zapletalová, Olga, Dufek, Michal, Sládková, Vladimíra, Novotna, Alena, Vancurová, Romana, Lhotaková, Libuse, Fiedler, Jiri, Vachova, Marta, Dolezil, David, Stetkarova, Ivana, Rehankova, Adela, Psenica, Petr, Ulehlova, Veronika, Feketova, Sona, Skoda, Ondrej, Färkkilä, Markus, Taneli, Sarasoja, Koivisto, Keijo, Seppä, Juha Matti, Airas, Laura, Elovaara, Irina, Hartikainen, Päivi, Pirttila, Tuula, Louchart, Pierre, Ille, Olivier, Thenint, Jean philippe, Godet, Etienne, Vioud, Marcel Maillet, Colamarino, Renato, Gugenheim, Michel, Grimaud, Jerome, Kopf, Audrey, Billy, Christophe, Huttin, Bernard, Borsotti, Jean paul, Devos, Philippe, Kendjuo, Jean bertin N, Verier, Albert, Chapuis, Stephane, Daluzeau, Nathalie, Angibaud, Gilles, Uriot, Marie-Sylvie Artaud, Ziegler, François, Sellal, François, Moulignier, Antoine, Lavenu, Isabelle, Ismail, Samir, Devy, Richard, Suceveanu, Manuel, Wagner, Marc, Marcel, Sebastien, Derouiche, Faycal, Mostoufizadehghalamfarsa, Sohrab, Delalande, Sophie, Ruggieri, Irene, Van Nieuwenhuyse, Catherine Bossu, Nifle, Chantal, Ondze, Basile, Vasilescu, Carmen Gurau, Vongsouthi, Cyrille, Coustans, Marc, Anne, Olivier, Amevigbe, Josephine, Servan, Jerome, Merienne, Marc, Eck, Philippe, Berroir, Stephane, Busson, Philippe, Barroso, Bruno, Larrieu, Jean-Marc, Giendaj, Catherine Louvet, Malkoun, Imad, Hautecoeur, Patrick, Kwiatkowski, Arnaud, Pouliquen, Andre, Garrigues, Guillaume, Delerue, Olivier, Giraud, Pierric, Gere, Julien, Vaunaize, Jean, Dereeper, Olivier, Seiller, Nicolas, Alsassa, Roger, Vlaicu, Mihaela, Neuville, Veronique, Faucheux, Jean Marc, Bernady, Patricia, Fanjaud, Guy, Viallet, François, Schroeter, Michael, Schlemilch-Paschen, Sylke, Lange, Thomas, Bohr, Kin-Arno, Jendroska, Klaus, Rehkopf, Elisabeth, Bergmann, Arnfin, Kleinschnitz, Christoph, Postert, Thomas, Scholz, Peter, Mauz, Uwe, Stratmann, Hubert, Siefjediers, Veneta, Prantl, Martin, Gehring, Klaus, Zellner, Ruth, Junge, Kathrin, Zellner, Anton, Bacay, Valerina, Schlegel, Eugen, Polzer, Udo, Strauss, Erik, Link, Andreas, Stenzel, Christoph, Freidel, Matthias, Drews, Joachim, Neudert, Christian, Schmitz, Frank, Jaeger, Joachim, Masri, Said, Heuberger, Wolfgang, Trausch, Beate, Ruhnke, Oliver, Scarel, Serena, Bach, Kathlen, Ernst, Michael, Landefeld, Harald, Richter, Nils, Schmidt, Stephan, Krause, Michaela, Dressel, Alezander, Ruth, Roland, Anvari, Kerstin, Gossling, Jens, Schenk, Christoph, Tiedge, Oliver, Bode, Lutz, Eder, Hans-Thomas, Pfeffer, Oliver, Krug, Reinhard, Lassek, Christoph, Fleischer, Eberhard, Meuth, Sven, Klotz, Luisa Hildegard, Peglau, Ines, Kukowski, Borries, Herting, Birgit, Guthke, Kersten, Schierenbeck, Jurgen, Brockmeier, Bernd, Albrecht, Holger, Wuttke, Matthias, Augspach-Hofmann, Regine, Gunther, Stefan, Redbrake, Martin, Franke, Christian, Buchner, Klaus, Gratz, Thomas, Horn, Rolf, Doemges, Frank, Schreiber, Martin, Brosch, Thomas, Horn, Markus, Kittlitz, Matthias, Vulturius, Gabriele, Hinse, Paul, Malessa, Rolf, Wiehler, Stephan, Katsarava, Zaza, Kastrup, Oliver, Kausch, Ulrich, Gullekes, Martin, Fickinger, Markus, Wenzel, Wilhelm, Botefur, Ingolf C., Reifschneider, Gerd, Rauer, Sebastian, Lang, Michael, Harms, Lutz, Eckhardt, Ulrich, Cursiefen, Simone, Linker, Ralf, Angstwurm, Klemens, Haas, Judith, Schuetze, Ivo, Rohm, Eva, Stienker-Fisse, H., Sailer, Michael, Bohringer, Johannes, Maurer, Mathias, Bause, Eberhard, Wersching, Ronald, Dachsel, Reinhardt, Domke, Sylke, Hoffman, Frank, Tackenberg, Bjorn, Roch, Kerstin, Ziebold, Uwe, Kallmann, Boris, Buehler, Bernhard, Faiss, Judith, Faiss, Juergen, Schimrigk, Sebastian, Menges, Christian, Knop, Karl Christian, Koehler, Wolfgang, Siever, Arno, Bufler, Johannes, Gramsl, Georg, Kuhnler, Benedicta, Maschke, Matthias, Stogbauer, Florian, Staude, Lisa, Bethke, Florian, Bitsch, Andreas, Harmjanz, Arndt D., Windsheimer, Jorg, Kieseier, Bernd C., Berkenfeld, Ralf, Tumani, Hayrettin, Kirsch, Michael, Wildemann, Brigitte, Daniels, Regina, Gottwald, Klaus, Elias, Wolfgang-Gerhard, Hoffmann, Olaf, Schwab, Matthias, Pilz, Christopher, Klostermann, Fabian, Hellwig, Kerstin, Berthele, Achim, Bayas, Antonios, Molitor, Daniel, Grothe, Christoph, Wagner, Bert, Karageorgiou, Klimentini, Mitsikostas, Dimosthenis, Kodounis, Antonios, Plaitakis, Andreas, Papadimitriou, Alexandros, Grigoriadis, Nikolaos, Vlaikidis, Nikolaos, Koutlas, Evaggelos, Kyritsis, Athanassios, Papathanassopoulos, Panagiotis, Makris, Nikolaos, Tavernarakis, Antonios, Scarpini, Elio, Montanari, Enrico, Marrosu, Maria Giovanna, Trojano, Maria, Amato, Maria Pia, Rottoli, Mariarosa, Lugaresi, Alessandra, Florio, Ciro, Gasperini, Claudio, Grimaldi, Luigi, Millefiorini, Enrico, Koudriavtseva, Tatiana, Perla, Franco, Mantegazza, Renato, Bertolotto, Antonio, Ghezzi, Angelo, Aguilar, Sandra Quinones, Eisenberg, Eli Skromne, Lopez, Leondardo Llamas, Estudillo, Rocio Marquez, Schrijver, H.M., Wittebol, M.C., Baart, J.C., van Golde, A.E.L., Hengstman, G.J.D., Pop, P.H.M., Bos (Geldrop), M., Medaer, R., Schyns-Soeterboek, Angelique, van der Zwart, A., van Diepen, A.J.H., Verheul, G.A.M., Verhagen, W.I.M., Bos (Helmond), M., Witjes, R.J.G.M., Sinnige, L.G.F., van Munster, E.Th.L., Sanders, E.A.C.M., van Dijl, Ron, Hupperts, R.M.M., Frequin, S.T.F.M., Visser, L.H., Henselmans, J.M.L., Moll, J.W.B., Midgard, Rune, Myhr, Kjell Morten, Edland, Astrid, Telstad, Wenche, Hognestad, Tone, Lund, Christian, Hovdal, Harald, Kamaljit, Kaur, Schepel, Jan, Hogenesch, Roelfien Ida, Schüler, Stephan, Odeh, Francis, Alstadhaug, Karl B., Korsgaard, Olav, Farbu, Elisabeth, Ingvaldsen, Teis Barclay, Soares (SCO), Diana, Rente, José, Guerra, José Manuel Costa, Morganho, Armando, Leitão, António, de Sá, João, Sá, Maria José, Marques, Pinto, Veloso, Mário, Baptista, Miguel Viana, Szilasiová, Jarmila, Copikova-Cudrakova, Daniela, Prochazkova, Lubica, Klimová, Eleonóra, Donath, Vladimir, Brozman, Miroslav, Ramo, Cristina, Ruiz, Domingo Pérez, Hernández, Carmen Calles, Sola, María Eugenia Marzo, Moro, Roberto Suarez, Vidal, Jose Antonio, Rodríguez, Ana Belén Caminero, Ozaeta, Gisela Martin, Nadal, Jordi Batlle, Esquide, Amaya Alvarez de Arcaya, Urtaza, Javier Olascoaga, Martínez-Yélamos, Sergio, Arbizu, Txomin, Torrenta, Lluis Ramio i, Boggild, Mike, Wilson, Martin, Al-Araji, Adnan, Nicholas, Richard, Harrower, Timothy, Redmond, Ian, Wolf, Tilo, Osei-Bonsu, Michael, Mazibrada, Gordon, Rog, David, Cottrell, David, Constantinescu, Cris, Gray, Orla, Belhag, Mohamed, Shehu, Abdullah, Rashid, Waqar, Duddy, Martin, Kappos, Ludwig, Wiendl, Heinz, Spelman, Tim, Pellegrini, Fabio, Chen, Yi, Dong, Qunming, and Koendgen, Harold

Published
2018
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43. A Small-Scale shRNA Screen in Primary Mouse Macrophages Identifies a Role for the Rab GTPase Rab1b in Controlling Salmonella Typhi Growth

Author

Virtu Solano-Collado, Rosa Angela Colamarino, David A. Calderwood, Massimiliano Baldassarre, and Stefania Spanò

Subjects
host-defense, Salmonella Typhi, Rab GTPases, Rab1b, shRNA screen, macrophages, Microbiology, QR1-502
Abstract

Salmonella Typhi is a human-restricted bacterial pathogen that causes typhoid fever, a life-threatening systemic infection. A fundamental aspect of S. Typhi pathogenesis is its ability to survive in human macrophages but not in macrophages from other animals (i.e. mice). Despite the importance of macrophages in establishing systemic S. Typhi infection, the mechanisms that macrophages use to control the growth of S. Typhi and the role of these mechanisms in the bacterium’s adaptation to the human host are mostly unknown. To facilitate unbiased identification of genes involved in controlling the growth of S. Typhi in macrophages, we report optimized experimental conditions required to perform loss-of function pooled shRNA screens in primary mouse bone-marrow derived macrophages. Following infection with a fluorescent-labeled S. Typhi, infected cells are sorted based on the intensity of fluorescence (i.e. number of intracellular fluorescent bacteria). shRNAs enriched in the fluorescent population are identified by next-generation sequencing. A proof-of-concept screen targeting the mouse Rab GTPases confirmed Rab32 as important to restrict S. Typhi in mouse macrophages. Interestingly and rather unexpectedly, this screen also revealed that Rab1b controls S. Typhi growth in mouse macrophages. This constitutes the first report of a Rab GTPase other than Rab32 involved in S. Typhi host-restriction. The methodology described here should allow genome-wide screening to identify mechanisms controlling the growth of S. Typhi and other intracellular pathogens in primary immune cells.

Published
2021
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44. Graded Atmospheres of Volatile Pyrethroid Overlaid on Host Cues Can Be Established and Quantified Within a Novel Flight Chamber for Mosquito Behavior Studies

Author

Corey E Seavey, Mona Doshi, Angelo Colamarino, Brian N Kim, Andrew K Dickerson, and Bradley J Willenberg

Subjects
Ecology, Insect Science, Ecology, Evolution, Behavior and Systematics
Abstract

Spatial repellents are emerging as a promising approach to reduce vector-disease burden; however, the evolution of genetically resistant mosquitoes decreases repellent efficacy. The development of flight chambers to investigate spatial repellent application techniques is vital for sustainable mosquito control. We present an air-dilution chamber as a novel bioassay to study mosquito flight behavior responses to chemical gradients of the volatile, pyrethroid transfluthrin (TF). Air dilution was used to simulate a larger environment of stable concentration gradients verified with carbon dioxide (CO2) which was homogenously delivered and measured across the chamber to achieve a 5× inlet/outlet [CO2] ratio with 0.17 m/s outlet velocity. Female Aedes (Ae.) aegypti (Diptera: Culicidae, Linnaeus, 1762) were exposed to volatilized TF paired with heat, CO2, and Biogents-Sweetscent host-cues. Tandem solvent extraction-gas chromatography-mass spectrometry (SE-GC-MS) was used to quantify air samples taken during TF emanations with a limit of detection (LOD) and quantification (LOQ) of 2 ± 1 and 5 ± 2 parts-per-trillion (ppt) TF, respectively. Homogenous air diluted emanation of the spatial repellent TF was at least twice that of the 5× CO2 gradient with the same air flow in the chamber. The airborne TF concentrations the mosquitoes were exposed to range from 1 to 170 ppt. Video recordings of mosquito behavior during host-cues exposure revealed increased inlet activity, while exposure to TF protected host resulted in decreased inlet activity over time with inlet-outlet mosquito positional variation. This novel flight chamber design can simulate ‘long’-range exposure with simultaneous quantitation of airborne spatial repellent to understand dose-dependent effects on mosquito behavior.

Published
2023
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45. Industry: Conflicting Views of the Near-Term Market Explained

Author

Colamarino, Gerald

Subjects
Coatings industry -- Forecasts and trends -- International economic relations, Real property -- Forecasts and trends, Market trend/market analysis, Business, Chemicals, plastics and rubber industries
Abstract

Results from major coatings and [TiO.sub.2] manufacturers created a complex picture of the near-term future for the [TiO.sub.2] industry. The consensus opinion of leading executives was there are many signs [...]

Published
2022

46. The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a statistical analysis plan for a randomized controlled trial

Author

Cipriani, Marta, primary, Pichiorri, Floriana, additional, Colamarino, Emma, additional, Toppi, Jlenia, additional, Tamburella, Federica, additional, Lorusso, Matteo, additional, Bigioni, Alessandra, additional, Morone, Giovanni, additional, Tomaiuolo, Francesco, additional, Santoro, Filippo, additional, Cordella, Daniele, additional, Molinari, Marco, additional, Cincotti, Febo, additional, Mattia, Donatella, additional, and Puopolo, Maria, additional

Published
2023
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48. Venomous gland transcriptome and venom proteomic analysis of the scorpion Androctonus amoreuxi reveal new peptides with anti-SARS-CoV2 activity.

Author

Ghazal, Ahmad, primary, Clarke, David, additional, Abdel-Rahman, Mohamed A., additional, Ribeiro, Antonio, additional, Hijazi, Karolin, additional, Collie-Duguid, Elaina, additional, Pattinson, Craig, additional, Burgoyne, Kate, additional, Muhammad, Taj, additional, Alfadhel, Sanad, additional, Heidari, Zeynab, additional, Samir, Reham, additional, Gerges, Mariam M., additional, Colamarino, Rosa A., additional, and Houssen, Wael E., additional

Published
2023
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50. Clinical features and prognostic factors of listeriosis: the MONALISA national prospective cohort study

Author

Hausfater, Pierre, Pourriat, Jean-Louis, Casalino, Enrique, Riou, Bruno, Pateron, Dominique, Yéni, Patrick, Bricaire, François, Ville, Yves, Azria, Elie, Dommergues, Marc, Bergmann, Jean-François, Wolff, Michel, Mira, Jean-Paul, Guillevin, Loïc, Zuber, Mathieu, Abasse, Soumeth, Aberrane, Saïd, Abgueguen, Pierre, Abokasem, Ayman, Abraham, Bruno, Ache-Papillon, Chantal, Adam, Pascal, Adam, Marie-Noëlle, Adhoute, Xavier, Adoue, Daniel, Afi, Moncef, Afroukh, Nawel, Agha-Mir, Ilhem, Aissa, Nejla, Aissaoui, Liamine, Akerman, Grégory, Akkari, Ali, Al Chaar, Majed, Al Freijat, Faraj, Al-Jalaby, Bachar, Albert, Didier, Albertini, Marie-Thérèse, Albinet, Hélène, Alfonsi, Gwenaël, Ali, Youssef, Chaouche, Zahr-Eddine Ali, Allart, Anne, Alric, Laurent, Améri, Alain, Amoura, Zahir, Ampère, Alexandre, Amroun, Hakim, Ananivi, Amévi, Ancelin, Pascal, André, Thierry, Andremont, Antoine, Andreotti, Dominique, Andriamaneo, Hélinoro, Andriau, Clara, Anglaret, Hélène, Anguel, Nadia, Annaix, Véronique, Anteur, Wassila, Anuset, Delphine, Aoudia, Ourida, Arabi, Miloud, Archambaud, Muriel, Archambaud, Maryse, Ardiet, Emmanuel, Argaud, Laurent, Arista, Sophie, Arlet, Guillaume, Armengaud, Jean, Arnal, Jean-Michel, Arnault, Isabelle, Arsène, Olivier, Assaf, Ziad, Assi, Assi, Assouline, David, Astruc, Dominique, Aubard, Yves, Aubert, Claude, Aubry, Jean-Paul, Auburtin, Marc, Aucher, Philippe, Audeguy, Philippe, Audié, Jean-Pierre, Aumaitre, Hugues, Aumersier, Michel, Auroux, Jean, Autret, Fanny, Auvray, Etienne, Ayach, Badih, Aye, Paul, Ayouz, Khélifa, Bachelier, Marie-Nadège, Badia, Thomas Bachelot Philippe, Badila, Patrice, Bador, Julien, Badurescu, Viorica, Baldesi, Olivier, Bandaly, Françoise, Bandin, Olivia, Bani-Sadr, Firouzé, Bannier, Stéphanie, Baranger, Thierry, Barazer, Isabelle, Barbier, Marie-Christine, Barbier, François, Barbier, Carole, Barbieux, Marianne, Marie, Barboteau, Annick, Barbut, Patricia, Baret, Mylène, Barière, François, Baril, Jean-Yves, Barillot, Isabelle, Barjon, Geneviève, Barnaud, Guilène, Barraduc, Régine, Barraud, Francis, Barraud, Olivier, Barre, Eric, Barrelet, Audrey, Barrier, Jocelyn, Bart, Fréderic, Barthélémy, Gérard, Baty, Gaëlle, Baud, Olivier, Baudel, Jean-Luc, Bay, Jacques-Olivier, Bay, Jérôme, Bazin, Claude, Beague, Sébastien, Beal Ardisson, Dominique, Beaune, Bertrand, Beauplet-Lepage, Anne, Bébéar, Cécile, Bechade, Dominique, Becherrawy, Céline, Becker-Schneider, Michelle, Bednarek, Nathalie, Bedock, Bernard, Begon, Edouard, Bekguesmia, Zaineb, Belaisch-Amart, Joëlle, Belhadj, Karim, Belle, Evelyne, Belmonte, Olivier, Belot, Jean-Pierre, Bemrah, Abdelkader, Ben Soltana, Mouna, Benbara, Amélie, Benddif-Fin, Faiza, Bénézit, François, Benifla, Jean-Louis, Benjelloul, Amine, Benkaci, Yacine, Benkhelil, Abdelaziz, Benoit-Cattin, Thierry, Benoit-Coustou, Sophie, Bensadoun, René-Jean, Bensaid, Thierry, Jacques Bensaude, Raoul, Bérard, Henri, Bercot, Béatrice, Berdin, Bruno, Berger, Marc, Berger, Pierre, Bergheul, Smail, Bergues, Benoît, Berland, Yvon, Bernard, Claude, Bernard, Louis, Bernardaud, Bérangère, Bernardi, Franck, Bernardin, Gilles, Bernasconi, François, Bert-Marcaz, Patrick, Berteaux, Béatrice, Berth-Farges, Anne, Berthelot, Gilles, Berthet, Jean, Bertrand, Kevin, Bertrou, Anne, Besnard, Marianne, Bessede, Emilie, Bethery, Philippe, Beuscart, Claude, Beyne-Rauzy, Odile, Beytout, Jean, Bezian, Marie-Christine, Bicais, Brigitte, Bidart, Sabine, Bidault, Christian, Biessy, Hélène, Bigot, Pierre, Bildea, Adrianna, Bille, Emmanuelle, Billy, Christophe, Biron, Nathalie, Bizet, Jérôme, Blaise, Didier, Blaise, Agathe, Blaison, Gilles, Blaka, Mariam, Blanc, Pierre, Blanc, Stéphane, Blanc-Amrane, Véronique, Blanchard, Pierre, Blanchard-Marche, Geneviève, Blancs, Michèle, Blazejewski, Caroline, Bléher, Yves, Blewoussi, Koffi, Blondet, Romain, Blot, François, Blum, Georges-Fabrice, Bodson, Lucien, Boidin, Emilie, Boileau, Julien, Boileau, Pascal, Boin-Gay, Véronique, Boisseau, Martial, Boisselier, Christine, Bollaert, Pierre-Edouard, Bolot, Pascal, Bonacorsi, Stéphane, Bonfils, Marie, Bonitchi, Pascal, Bonnan, Mickael, Bonnefoy, Philippe, Bonnet, Delphine, Bonnet, Richard, Bonnin, Emmanuelle, Bor, Jacques, Borie, Marie-Françoise, Borstein, Bernard, Bossi, Philippe, Botreau, Yves, Bottero, Julie, Bouasria, Abderrezak, Bouaziz, Radia, Bouchaud, Olivier, Bouche, Flore, Bouchet, Gérard, Bouden, Vincent, Boudhane, Amar, Boudy, Carole-Anne, Boue, François, Bouet, Cédric, Claude Boufetteau, Jean, Bouffandeau, Bernard, Bouhour, Damien, Bouiller, Marc, Bouillet, Laurence, Bouissou, Antoine, Boulain, Luc, Bourgeois, Stéphane, Bourgerette, Evelyne, Bourlet, Anne, Bourlière, Marc, Bourrée, Thomas, Bourrouillou, Aude, Boussekey, Nicolas, Boussier, Remi, Boutoille, David, Bouyer, Jean-Luc, Bouyssou-Destriau, Denise, Bouziges, Nicole, Boyer, Michelle, Braem, Louis, Branger, Bernard, Branger, Catherine, Brasme, Lucien, Bray, Philippe, Brazille, Patricia, Bresson, Violaine, Bret, Laurent, Breton, Anne-Laure, Breuil, Jacques, Brevet, Françoise, Briaud, Michel, Bridoux, Delphine, Briend, Delphine, Briere, Anne-Isabelle, de la Hosseraye, Claire Briere, Brieu, Nathalie, Brieux, Jean-Philippe, Brihier, Hélène, Brisou, Patrick, Brival, Marie-Laure, Broche, David, Brochen, Joëlle, Bron, Camille, Bronet, Nathalie, Bronner, Jacques, Bronowicki, Jean-Pierre, Brosset, François, Brottier-Mancini, Elisabeth, Brovedani, Sophie, Bruley des Varannes, Stanislas, Brunel, Pascale, Brunet, Patrick, Brunet, Xavier, Brunet, Stéphanie, Brung-Lefebvre, Maud, Brunot, Vincent, Brusset, Alain, Burc-Struxiano, Laurence, Burdin, Michèle, Bureau, Thierry, Buron, Fanny, Burucoa, Christophe, Cabalion, Jean, Cabasson, Severine, Cabié, André, Cacheux, Victoria, Cadiergue, Vincent, Cadiot, Guillaume, Caille, Vincent, Cailleaux Pierre-Etienne Cailleux, Vincent, Caillon, Jocelyne, Caillot, Denis, Camara, Mohamed, Cambau, Emmanuelle, Cambonie, Gilles, Camiade, Sabine, Canis, Frederique, Canitrot, Meriem, Canu, Nathalie, Capellier, Gilles, Carbillon, Lionel, Carbonelle, Bernard, Carbonelle, Etienne, Carboni, Marion, Carbonne, Bruno, Carcenac, Francis, Cardot, Florence, Carette, Sylvie, Cariou, Sylvie, Carli, Pierre, Carmagnol, Françoise, Caroli-Bosc, François-Xavier, Caron, François, Cartron, Guillaume, Casali, Patrick, Casanovas, Olivier, Cassignard, Dominique, Castaing, Denis, Castel, Brisse, Castelin, Sandrine, Castelnau, Pierre, Cathebras, Pascal, Catineau, Jean, Catteu, Sylviane, Cattier, Blandine, Cattoen, Christian, Cattoir, Vincent, Caumes, Eric, Caussin, Jean, Cavalié, François, Ceppa, Franck, Cerf, Charles, Ceriez, Anne, Cervantes, Nathalie, Chabanon-Pouget, Bruno, Chabrol, Amélie, Chachaty, Elisabeth, Chahtour, Hanen, Chaix, Fabrice, Challier, Marion, Chalvon-Demersay, Arnaud, Chambreuil, Guy, Chaminade, Bruno, Chamouine, Abdourahim, Chandesris Joséphine Chapalain-Cagnon, Christine, Chapelle, Alain, Chaplain, Chantal, Chapuzet, Claire, Charachon, Sylvie, Charasse, Christophe, Charbonnier, Thierry, Charlier, Franck, Chassin, Olivier, Chassy, Véronique, Chatellier, Delphine, Chatron, Marlène, Chaussade, Hélène, Chavanet, Pascal, Chavel, Pascale, Chekroun, Ali, Chelle, Wladimir, Chelly, Jonathan, Cherlet, Christel, Chevailler, Alain, Chevalet, Pascal, Chevalier, Yannick, Chidiac, Christian, Chimot, Loïc, Chiouk, Nabil, Chiron, Philippe, Chirouze, Catherine, Chopin, Marie-Charlotte, Choukroun, Gabriel, Chouraqui, Martine, Chraibi, Kamilla, Chudersky, Dominique, Chuzeville, Michel, Cingotti, Michel, Cinquetti, Gael, Ciocan, Dragos, Citony, Isabelle, Claise, Catherine, Clarissou-Philippe, Juliette, Claude, Benoît, Clave, Danielle, Clément, Christophe, Climas, Marie-Thérèse, Coetmeur, Daniel, Cognet, Stéphanie, Cohen, Daniel, Coignard, Sophie, Coindre, Jean-Philippe, Coint, Raphaël, Colamarino, Renato, Colingorski, Anne-Marie, Collard, Olivier, Collet, Michel, Collignon, Anne, Collus, Marie-José, Colombani, Jean-Claude, Colombat, Philippe, Combe, Christian, Condominas, Philippe, Conroy, Marie-Chrsitine, Constans, Thierry, Constantin, Nicole, Contamin, Claudine, Corberand, Damien, Cordier, Anne-Marie, Cordonnier, Charlotte, Corneloup, Hélène, Costa, Yannick, Costa, Frédérique, Coste, Mathieu, Costes, Corinne, Cotes, Françoise, Cotteret, Rabea, Couderc, Louis-Jean, Cougoul, Pierre, Coulaud, Jean-Michel, Coulhon, Marie-Pierre, Coulon, Patrice, Courcol, René, Courillon, Florence, Courjon, Johan, Courouble, Jérémie, Courouge-Dorcier, Dominique, Courtade, Henri, Courtois, Stéphanie, Couturier, Pascal, Créange, Alain, Cremet, Lise, Cremniter, Julie, Croize, Jacques, Crombe, Valérie, Croquet, Ingrid, Cua, Eric, Cufi, Marie-Noelle, Cuvillier, Patrice, Dabysing, Marie-Françoise, Dadoun, Karim, Dagada, Corinne, Dahan, Sonia, Dahoumane, Redouane, Daleas, Jacques, Dallay, Dominique, Dalle, Benoît, Damage, Alexandre, Damaj, Lena, Damaj Gandhi, Laurent, Danalaché, Ana, Danin, Pierre-Eric, Danjean, Marie-Pierre, Danquechin Dorval, Etienne, Dao, Anne, Daoud, Patrick, Darchen, Olivier, Dargère, Sylvie, Darre, Bincy, Dassant, Damien, Dassieu, Gilles, Dattin-Dorrière, Valérie, Daupin, Cedric, Daurel, Claire, Dausset, Jean-Claude, Daval Cote, Mélanie, David, Gary, Davido, Benjamin, De Barbeyrac, Bertille, De Biasi, Michel, De Boysson, Hubert, De Clareuil, Edith, De Kermadec, Jean-Michel, De Martino, Sylvie, De Tayrac, Renaud, De Varax, Roland, De Witte, Sten, Debernardi, Anne, Deboutin, Jean-Luc, Debouverie, Marc, Decoene, Christophe, Decoster, Anne, Decousser, Jean-Winoc, Decré, Dominique, Defebvre, Renaud, Degand, Nicolas, Degreff, Jean-Marc, Deiber, Michel, Delaby, Hélène, Delacour, Thierry, Delahaye, Arnaud, Delarbre, Jean-Marie, Delasalle, Chantal, Delbrouck, Claire, Delecalle, Jean-Gilles, Delesalle, Sophie, Delesalle, Chantal, Delhoustal, Laurence, Deligne, Delphine, Delisle Mizon, Françoise, Delobel, Pierre, Delour, Pierre, Delpeuch, Bruno, Demachy, Marie-Claude, Demarchi, Martin, Demarcq, Marie-Joelle, Demontclos, Henri, Dengo, Jean-Christophe, Deprecq, Sophie, Dequin, Pierre-François, Dereeper, Olivier, Deroux, Alban, Derragui, Aicha, Desblache, Julien, Desbois-Nogard, Nicole, Descamps, Dominique, Descamps, Jean-Michel, Deschamps, Christophe, Deschamps, Jacques, Desemerie, Franck, Desfrere, Luc, Desliers, Joelle, Desnoulez, Laurence, Desplaces, Nicole, Després, Nicolas, Dessin, Jean-François, Destors, Marie, Detante, Olivier, Detave, Mathieu, Detourmignies, Laurence, Devaud, Edouard, Devaux, Yves, Devaux, Bruno, Devianne, François, Devidas, Alain, Devos, Philippe, Dewitte, Camille, Dewulf, Gisèle, Dhennain, Chantal, Di Meglio, Chloé, Diallo, Habiboulaye, Diamantis, Sylvain, Dib, Baihas, Didier, Jean-Marc, Dillies, Anne-Françoise, Dingremont, Claire, Djafari, Noureddine, Djeffal, Abdelmajid, Djerad, Hama, Dollon, Christophe, Doloy, Alexandra, Domart, Yves, Donay, Jean-Luc, Dopeux, Loïc, Dorr, Gaelle, Doucet Populaire, Florence, Dournon, Nathalie, Dreyfus, Michel, Dreyfuss, Didier, Du Cheyron, Damien, Dubois, Elodie, Dubois, Nicolas, Dubosc-Marchenay, Nadine, Dubourdieu, Béatrice, Dubroca, Nadine, Dubus, Jean-Christophe, Duche, Catherine, Duchene, Francis, Dudeffant, Patrick, Duez, Jean-Marie, Duhaut, Pierre, Duluc, Françoise, Dumouchel, Hélène, Dumoulard, Bruno, Dupin, Clarisse, Dupon, Michel, Dupont, Mathieu, Dupont, Damien, Dupont, Patrick, Dupre-Narlet, Emmanuelle, Dupretz, Peggy, Dupuy, Claire-Antoinette, Durand, Michel, Durand, Annie, Durliat-Ellie, Solène, Durox, Hélène, Dussopt, Christine, Dutasta, Fabien, Duval, Véronique, Dzeing, Ella, Eboue, Florence, Ede, Cyrille, Eid, Hanna, El Yamani, Abderrazak, Elbez, Annie, Eldeghedy, Mohamed, Elena-Daumas, Martine, Elhadad, Simon, Elharie-Heraux, Zoubida, Eloy, Clarence, Emeriau, Marie-Etiennette, Emond, Jean-Philippe, Equy, Véronique, Erena-Penet, Anne-Sophie, Esnault, Cecilia, Esposito, Laure, Essouri, Sandrine, Estépa, Laurence, Estève, Vincent, Etchemendy, Sabine, Ettahar, Nicolas, Eustache, Marie-Line, Evillard, Mathieu, Evreux, Françoise, Eychene, Jean-Marc, Eyer, Didier, Eymerit, Philippe, Fabre, Jean-Luc, Fabre, Claire, Faibis, Frédéric, Falchero, Lionel, Falguières, Odile, Fallouh, Hassan, Fanjaud, Nicolas, Fantin, Bruno, Farah, Ibrahim, Farto-Bensasson, Fernanda, Fauchais, Anne-Laure, Fauchart, Jean-Pierre, Faucher, Anna, Faucheux, Jean-Marc, Faudon-Gibelin, Anne, Faurie, Pierre, Fèbre, Claudine, Feddal, Toufik, Ferhat Carre, Assia, Ferreira-Maident, Nicole, Ferreyra, Milagros, Ferroni, Agnès, Ferry, Tristan, Feugier, Pierre, Feugier, Jean-Claude, Fezoui, Hacene, Fiette, Hélène, Fille, Alexandra, Filloux, Jean-Michel, Fily, Fabien, Fines, Marguerite, Fissore Magdelein, Cristel, Flahault, Mathilde, Floriot, Christian, Foguem, Clovis, Fonsale, Nathalie, Fontenel, Benoît, Forest, Anne-Marie, Forest, Anne, Forestier, Emmanuel, Fortin, Louise, Fortineau, Nicolas, Fos, Marie-Pierre, Foucart, Saskia, Fouilhoux, Alain-Charles, Fournel, Pierre, Fournier, Damien, Fourrier, François, Fraisse, Thibaut, Fredenucci, Isabelle, Fremin-Batteux, Odile, Frey, Janine, Frimat, Luc, Froidure, Marie, Fruchart, Christophe, Fruleux, Nathalie, Fuhrmann, Christine, Fuillet, Michel, Funakoshi, Nathalie, Fur, Alain, Gabez-Therou, Patricia, Gaborieau, Valerie, Gabriel-Soléan, Sylvie, Gachassin, Laurence, Gaide, Jean-François, Gaillard, Julia, Gaillard, Jean-Louis, Gaillart, Tiphaine, Gaizi, Sad, Gallo, Nicolas, Gameiro, Manuel-Luis, Garandeau, Caroline, Garbi, Aurelie, Garcera, Yves, Gardes, Ghislaine, Garesslin, Olivier, Garnier, Fabien, Garofano, Marie, Garosi, Olivier, Garre, Michel, Garrec, Hélène, Garrigues, Bernard, Gaschet, Anne, Gascon, Alexandre, Gascou, Emmanuel, Gasnault, Jacques, Gatfosse, Marc, Gattault, Jean-François, Gatti, Hélène, Gauche, Bernard, Gaudard, Philippe, Gaudelus, Joel, Gaudry, Stéphane, Gauduchon, Valérie, Gaulthier, Jean-Baptiste, Gauthier, Yvan, Gebeile, Rémi, Geffray, Loïc, Geffroy, Françoise, Geissler, Alain, Gelez, Maud, Gendrin, Vincent, Gengembre, Guy, Gentilhomme, Hervé, Gérart Pons, Sandrine, Germain, Marie-Claude, Gesquière, Julien, Ghedira, Adel, Ghevaert, Christine, Gillot, Jean-Michel, Girard, Edouard, Girard, Serge, Girard, Pierre-Marie, Girard-Buttaz, Isabelle, Giraud, Martine, Glorieux, Isabelle, Goburdhun, Chandrah, Godin, Michel, Godon, Catherine, Goehringer, François, Goffart, Sylvie, Goidin, Isabelle, Goldgran Toledano, Daniele, Golfier, François, Goll, Armand, Gontieron, Olivier, Goquelin, Anne, Got, Laurence, Goudeau, Alain, Goujard, Cécile, Goupil, François, Gouraud, François, Gourlaouen, Alain, Gournay, Jérôme, Goustille, Julien, Goux, Alain, Grandclerc, Benoît, Grange, Jean-Didier, Granger, Thierry, Granier, Françoise, Granier, Michèle, Grasset, Denis, Gravet, Alain, Grawey, Isabelle, Greder Belan, Alix, Grelaud, Jean-Jacques, Grenet, Karine, Gressier, Bernard, Grignon, Bernadette, Grimprel, Emmanuel, Grise, Geneviève, Grobost, Vincent, Gross Goupil, Marine, Grossi, Olivier, Gruffat, Brigitte, Gruson, Anne, Guénard, Yves, Guérard, Arnaud, Guérin, Bruno, Guérin, Mathilde, Guérin, Claude, Guerquin, Bernard, Guerrot, Dominique, Guéry, Benoît, Gueudet, Philippe, Gueugniaud, Pierre-Yves, Guichard, Isabelle, Guichart, François, Guiden, Ozel, Guider, Bertrand, Guillarmé Grossmann, Pascale, Guillemot, François, Guillet, Pierre, Guillet-Caruba, Christelle, Guillois, Bernard, Guilloy, Olivier, Guimard, Thomas, Guimard, Karine, Guimier, Philippe, Guinard, Jérôme, Guinet, François, Guisset, Olivier, Guitteaud, Karine, Gutmann, Laurent, Guyetand, Severine, Haccourt, Fabian, Hacot, Jean-Pierre, Hadou, Tahar, Haiat, Stéphanie, Haioun, Corinne, Hajjar, Mostapha, Hamitou, Zakaria, Hammami, Sarah, Hamon-Charles, Sophie, Hamou-Plotkine, Laurence, Hanouz, Jean-Luc, Harbi, Samia, Harlé, Jean-Robert, Haro, Sophie, Harou, Christian, Harvey, Thierry, Hatem, Ghada, Hausermann, Marie-Hélène, Hauss, Pierre-Alexandre, Hayoun, Fabrice, Hecham, Moussa, Heches, Xavier, Hedjem, Nourredine, Heidt, Anne, Heisel, Nicolas, Heluwaert, Fréderic, Helvadjian, Thierry, Henni, Tawfiq, Henry-Andrieu, Yanne, Hequet, Delphine, Herbecq, Patrick, Herbrecht, Raoul, Hernu, Romain, Herry, Catherine, Herry, Jean-Paul, Herson, Serge, Heurtaux, Marie-Noelle, Heusse, Emmanuelle, Heyraud-Blanchet, Catherine, Hichri, Yoar, Hilbert, Gilles, Hili, Marie-Thérèse, Hiret, Sandrine, Hittinger, Gilles, Hochart, Anne-Cécile, Hodee, Nathalie, Holstein, Anne, Hombrouk-Alet, Cécile, Hominal, Stéphane, Honderlick, Patrick, Honoré Bouakline, Stéphanie, Hory, Bernard, Hourdebaigt-Larrusse, Pierre, Houssaye, Serge, Houssiaux-Maisonneuve, Nathalie, Hrichi, Abdelkader, Hubert, Didier, Huc, Benoît, Humbert, Karine, Hurel, Dominique, Husson-Wetzel, Stéphanie, Hutin, Pascal, Huttin, Bernard, Hyerle, Laura, Iacobelli, Silvia, Ilunga, Serge, Imbert, Guenièvre, Jabre-Sikias, Elias, Jacob, Jean-Louis, Jacobs, Romain, Jacomy, Dominique, Jacquier, Pascal, Jacquier, Hervé, Jaffarbandjee, Marie-Christine, Jamet, Angéline, Jan, Didier, Jang, Guyro, Jaouen, Anne-Christine, Jardel, Henry, Jarlier, Vincent, Jarrige, Luc, Jarrousse, Bernard, Jauhlac, Benoît, Jault, Véronique, Jault, Thierry, Jaunait, Eric, Javouhey, Etienne, Jean, Rodolphe, Jean, Julie, Jean-Pierre, Hélène, Jeanmaire, Eliette, Jeannot, Katy, Jeddi, Hassen, Jego, Mickael, Jennane, Selim, Join-Lambert, Olivier, Joly, Pascal, Jonquet, Olivier, Josien, Eric, Jouatte, Fabienne, Jouffret, Agnès, Jourde-Chiche, Noémie, Jourdes, Emilie, Jouvencel, Philippe, Jouzel, Charlotte, Julienne, Geneviève, Jullian, Eric, Juven, Agnès, Juvin, Philippe, Kaidomar, Michel, Kaiser, Thomas, Kalfon, Pierre, Kaltenbach, Georges, Kamar, Nassim, Kansau, Imad, Kara, Ali, Karaoui, Leila, Karirisi, Apollinaire, Karkous, Bernard, Kassis, Marie, Kayal, Samer, Keller, Marie, Kemenar, Chrystelle, Kennouche, Samir, Kerchache, Aissa, Kerleau, Jean-Marc, Kervegant, Anne-Gaelle, Khalifa-Thellier, Sandrine, Radhouane-Khanjari, Fethi, Kherouf, Hakim, Khodeir, Nordine, Kibbrecht, Eric, Kim, An, Kisterman, Jean-Paul, Kittschke, Bernard, Klapczynski, Frédéric, Kodzin, Marie-José, Konate, Bano, Kouaho, Sylvain, Koulmann, Laurence, Krechiem, Karim, Kubab, Sarah, Kubiak, Charles, Kurtz, Jean-Emmanuel, Labadie, Philippe, Labarrière, Damien, Labaune-Kiss, Andrea, Labé, Aurélie, Labourdette, Isabelle, Labrousse, Philippe, Labussière, Anne-Sophie, Lachenal, Florence, Lacroix, Jérôme, Lafeuillade, Alain, Lafforgue, Marie-Odile, Lafon, Ingrid, Lagasse, Jean-Pierre, Lagrandeur, Julien, Lalot, Jean-Marc, Lalu, Mélissa, Laluque, Simone, Lamache, Sébastien, Lamarca, Richard, Lamberet, Aurore, Lambert, Thierry, Lambiotte, Fabien, Lamia, Bouchra, Lamoine-Gimet, Ghislaine, Lamour, Armelle, Lamy, Brigitte, Lanba, Patrice, Landgraf, Nathalie, Landraud, Luc, Laporte, Jean-Patrick, Larible, Claire, Larrazet, Fabrice, Larroche, Claire, Lasbasses, Claudine, Lassel, Ludovic, Lassere, Bertrand, Laudat, Patrice, Lauque, Dominique, Laurens, Etienne, Laurent, Frédéric, Lauretta, Raphael, Laurin, Max, Lauzanne, Brigitte, Lavalard, Emmanuelle, Lavenu, Isabelle, Lavigne, Jean-Philippe, Le Baron, François, Le Berre, Rozenn, Le Berruyer, Pierre-Yves, Le Bideau, Marc, Le Boterff, Cécile, Le Chevallier, Sylvain, Le Coustumier, Alain, Le Du, Anne, Le Goff, Valérie, Le Henaff, Catherine, Le Lay, Geneviève, Le Maout, Gilles, Le Pierres, Athéna, Le Pimpec, Patricia, Le Poulain, Marguerite, Le Reste, Anne-Marie, Le Sec, Ludovic, Le Turdu, Françoise, Leautez-Nainville, Sophie, Lebas, Eddy, Leblond, Véronique, Lebreton, Marie-Annick, Lebreton, Didier, Lecaillon-Thibon, Evelyne, Lechat, Sylvie, Lechiche, Catherine, Lecis, Alain, Leclercq, Roland, Lecomte, Claire, Lécuyer, Hervé, Ledru, Sylvie, Leduc, Dominique, Leflon, Véronique, Lefort, Christine, Lefranc, Hélène, Lefrant, Jean-Yves, Legendre, Christophe, Legoff, Isabelle, Legout, Laurence, Legrand, Mathieu, Legras, Annick, Legros, Antoine, Leguen, Virginie, Leibinger, Franck, Lelièvre, Jean-Daniel, Lellouche, Franck, Lemaignen, Adrien, Lemarie, Romain, Lemble, Chantal, Lemenand, Olivier, Lemercier, Fanny, Lemery, Didier, Lemmens, Bruno, Lemyze, Malcolm, Leneveu, Michel, Léonetti, Françoise, Léonnet, Caroline, Léotard, Sophie, Lepeletier, Didier, Lepelletier, Didier, Lepeule, Raphael, Lepiller, Quentin, Lequen, Laurence, Leroux, Lionel, Leroux, Stéphane, Leroy, Hélène, Leroy, Vincent, Leroy, Olivier, Lesage, Fabrice, Lescat, Mathilde, Lesecq, Ludovic, Lessene, Aude, Lessinger, Jean-Marc, Letellier, Claire, Letellier, Nicolas, Letouzey, Vincent, Letranchant, Lorraine, Levast, Marion, Leveneur, Yann, Levent, Thierry, Levy, Marie, Levy, Marc, Leysenne, David, Libeau, Benoît, Likose, Ebutu, Lima, Suzanne, Lina, Gérard, Lioger, Bertrand, Lionnet, Benoît, Lipovac, Anne-Sophie, Loffeier, Vincent, Loison, Françoise, Lorchleac'h, Aurélien, Lorge, Fabienne, Loriferne, Jean-François, Lorléa'ch, Aurélien, Louart, Guillaume, Loury-Lariviere, Isabelle, Loustaud, Véronique, Lozniewski, Alain, Luciani, Roger-Charles, Luminitan Elena Lupean, Luca, Lureau, Pierre, Lutz-Murphy, Marie-France, Mbimba, Luwawu, M'Bey, Damien, Maakaroun, Abdallah, Macci, Valérie, Magdoud, Fatma, Mager, Guy, Magna, Théophile, Magny, Jean-François, Mahaza, Chetaou, Mahé, Isabelle, Maillard, Christine, Maillet, Jean-Jacques, Maillet, François, Maillez, Sébastien, Maillot, François, Maisonneuve, Antoine, Makdessi, Solène, Malbrunot, Claire, Malbruny, Brigitte, Malderet, Caroline, Malfuson, Jean-Valère, Malherbe, Philippe, Malherbe, Patrick, Malhiere, Sophie, Mandelbrot, Laurent, Mandin, Laurent, Mandjee, Aziza, Manéglier, Benjamin, Mansouria, Mohammed, Marcu, Elena, Mariette, Jean-Bernard, Mariette, Sylvie, Markarian, Jacques, Marmouset, Carole, Marpeau, Olivier, Marret, Olivier, Marsepoil, Thierry, Marterl-Lafay, Isabelle, Martha, Benoît, Marthelet, Patrick, Martin, Xavier, Martin, Florence, Martin, Pierre, Martin, Régine, Martin, Christian, Martin Lefèvre, Laurent, Martineau, Olivier, Martinet, Olivier, Martinez, Valérie, Martinot, Martin, Martres, Pascale, Marty, Sophie, Marty-Ane, Charles, Marzouk, Paul, Mascade, Géraldine, Masia, Florent, Masseron, Thierry, Masson, Loïc, Masson, Philippe, Matheron, Isabelle, Matica, Slavius, Matray, Olivier, Mattei, Marie-Françoise, Maubert, Bertrand, Maugein, Jeanne, Maureira, Juan-Pablo, May, Thierry, May, Adrien, Maze, Vincent, Meaudre Desgouttes, Eric, Mebazaa, Alexandre, Mechai, Frédéric, Medeau, Virginie, Megbemado, Richard, Mehri, Mona, Mein-Bottini, Myriam, Melis, Adrien, Mellier, Joelle, Ménager, Philippe, Ménard, Céline, Mendes-Martin, Lucile, Menguy, Anne-Claude, Menouar, Mohamed, Merabet, Taoufik, Mercury, Paul, Meregnani, Corinne, Mérigot, Philippe, Mermont, Sylvain, Merrouche, Yacine, Merville, Pierre-Gilles, Mesnage, Renaud, Mesnard, Louis, Messager, Aurélie, Messiaen, Thierry, Messika, Jonathan, Messner Pellenc, Patrick, Métenier, Hervé, Metton, Pierre, Meyer, Christian, Mialon, Michel, Miatello, Jordi, Michaud-herbst, Alban, Michault, Alain, Micheli, Sophie, Michon, Jocelyn, Baptiste Michot, Jean, Mielczarek, Severine, Mignart, Sophie, Mignaut, Virginie, Migraine Bouvagnet, Audrey, Mihout, Fabrice, Mille, Catherine, Millet, Olivier, Milpied, Noel, Mimoz, Olivier, Minet, Jacques, Minguet, Bertrand, Mohty, Mohamad, Moiton, Marie-Pierre, Monarchi, Richard, Monceau, Yannick, Monchi, Mehran, Monlun, Eric, Monsegu, Jacques, Montagne, Nathalie, Montcriol, Ambroise, Montmasson, Bernard, Mootien, Paramasiven, Moquet, Olivier, Morando, Virginie, Moreau, Anne-Sohie, Morel, Yves, Morelon, Emmanuel, Morin-Fatome, Armelle, Morincomme, Mathieu, Morlat, Philippe, Mosser, Laurent, Motard-Picheloup, Annie, Mottaz, Philippe, Moulinoux, Claire, Mouly, Laurence, Mourad, Georges, Mouries, Jean-Claude, Moussa, Hecham, Moustache, Audrey, Muir, Jean-François, Murbach, Valérie, N'guyen, Yohann, N'guyen, Jean-Claude, N'guyen-Khac, Florence, Nabholtz, Jean-Marc, Naceur, Tarik, Nakhleh, Jean, Nare, Aline, Nassif, Xavier, Nathan-Bonnet, Frédérique, Negrery, Huguette, Negrier, Claude, Neri, Dominique, Nesrine, Hakima, Neuwirth, Catherine, Ngami, Eugène, Carole Ngo Bell, Elisabeth, Nicobaharaye, Dieudonné, Nicolet, Laurent, Nicolet, Laurence, Nicolino, Marc, Niel, Philippe, Nikodijevic, Karine, Nkunzimana, Jean-Marie, Noel, Christian, Noirot, Alain, Noto, Philippe, Noulard, Marie-Noelle, Ntalu Nkato, Christophe, Nyunga, Martine, Obiols, Julien, Ochocki, Patrick, Odent, Sylvie, Olivier, Brigitte, Oliviero, Gérard, Ondze, Basile, Orléva, Oléna, Orode, Paul, Osman, Henri, Oswald, Eric, Otean, Paola, Ouazir, Abderkader, Ozanon, Christophe, Paccalin, Marc, Pages, Marie-Christine, Paindaveine, Bénédicte, Pangon, Béatrice, Pannecouck, Jean-Marie, Paquet, Jean-Christophe, Parent, Sabrina, Parisi-Duchene, Elisabeth, Pasche, Jérôme, Pasdeloup, Thierry, Patin, David, Patrigeon, René-Gilles, Patry, Isabelle, Paul, Jean-Gabriel, Pavel, Simona, Pavic, Michel, Pawlotsky, Jean-Michel, Payan, Christopher, Payen, Christiane, Péan, Yves, Péchinot, Frédérique, Péchinot, André, Pecquet, Matthieu, Pélaquier, Agnès, Peltier, Hervé, Penn, Pascale, Pennaforte, Jean-Loup, Perez, Didier, Périsson, Caroline, Perotin, Dominique, Perouse de Montclos, Michèle, Perreve, Sophie, Perronne, Christian, Perrotin, Dominique, Pesque, Valerie, Pestel-Caron, Martine, Pestre, Vincent, Petassou, Fabrice, Petit, Marie-Cécile, Petit Hoang, Camille, Petitjean, Philippe, Pettinelli, François, Peultier, Anne-Sophie, Piala, Jean-Marie, Pialoux, Gilles, Piau, Caroline, Picard, Aurélia, Picaud, Jean-Charles, Pichard, Eric, Pierre, Martin, Pierre, Fabrice, Pierrot, Paul, Piet, Emilie, Piffaut, Marie-Claude, Pigeon, Bertrand, Pignon, Carole, Pinon, Georges, Piquet, Jacques, Piriou, Vincent, Placidi, Eric, Plainfosse, Gillles, Plane, Christophe, Plantier, Isabelle, Claudiu-Plesa, Nicolai, Plésiat, Patrick, Plessis, Patrick, Plouzeau-Jayle, Chloé, Ploy, Marie-Cécile, Pochmalicki, Gilbert, Pofelski, Joanna, Poinsignon, Yves, Poirier, Anne-Sophie, Poitevin, Françoise, Pommier, Christian, Ponceau, Bénédicte, Poncelet, Christophe, Pop, Daniela, Porcheron, Martine, Pordes, Réginald, Porthault, Eric, Portneuf, Marc, Pottier, Anne, Pouedras, Pascal, Poulain, Jocelyne, Poulain, Gérard, Poupet, Hélène, Pouyanne, Julien, Pouzoullic, Marie, Poyart, Claire, Pozzetto, Bruno, Prazuck, Thierry, Pressac, Dominique, Prévost, Fabrice, Prince, Sylvie, Priollet, Pascal, Proost, Olivier, Protar, Daniel, Pujade Lauraine, Eric, Pujol, Antoine, Puybasset, Louis, Puyhardy, Jean, Quentin, Vincent, Quinsat, Denis, Rabier, Valérie, Radaoui, Fouzia, Radenac, Florian, Radenne, Sylvie, Raffenot, Didier, Raffi, François, Rahmani, Hassène, Ramanantsoa, Céline, Ranchon, Guillaume, Ranta, Dana, Raoult, Didier, Rasigade, Jean-Philippe, Rassiat, Emmanuel, Raulin, Olivia, Ravaud, Alain, Ravet, Nathalie, Razafimahefa, Hasinrina, Razafimahery, Mirana, Re, Daniel, Real, Philippe, Rebattu, Paul, Rebeyrotte, Catherine, Reboul, Pascal, Reboux, Anne-Hélène, Recule, Christine, Redonnet, Jean-Philippe, Redor, Alexis, Regouby, Yves, Rémy, Claude, Renard, Gisèle, Renard, Benoît, Renou, Frédéric, Repellin, Philippe, Reveil, Jean-Claude, Revel, Valérie, Reverseau, Anne, Revest, Mathieu, Rey, Philippe, Rey, Hyacine, Rey Zermati, Jany, Reyes Ortega, Guillermo, Reynaud, Alain, Reynes, Jacques, Rezgui, Nasseur, Riahi, Jacques, Ribes, David, Ribier, Arnaud, Richard, Christian, Richardin, Florence, Riche, Agnès, Richette, Pascal, Ridah, Khalid, Riegel, Philippe, Riehl, Frédéric, Rigaux, Françoise, Rioux, Christophe, Rival, Gilles, Rivière, Brigitte, Robert, Henri, Robert, René, Robillard, Pierre-Yves, Roblin, Mélanie, Roblot, Pascal, Roblot, France, Rogeaux, Olivier, Roger, Pierre-Marie, Rohmer-Heitz, Dominique, Rolland, Christophe, Roncato-Saberane, Mariam, Ronda, Isabelle, Rondepierre, Philippe, Roque-Afonso, Anne-Marie, Rosay, David, Rose, Christian, Roseau, Jean-Baptiste, Rosello, Sophie, Rosselli, Sylvène, Rossignol, Serge, Rostaing, Lionel, Roth, Christian, Rothe, Marie-Rose, Roubert, Xavier, Rouget, Sébastien, Rouidi, Ahmed, Roulier, Philippe, Rouquet, Yannick, Rouquette-Vincent, Isabelle, Roure Sobas, Chantal, Rousseau, Sylvaine, Rousseau, Florence, Roussel, Etienne, Roussel, Jean-Christian, Roussel, Christophe, Roussellier, Patricia, Roy, Christophe, Royer, Daniel, Roze, Jean-Christophe, Rozec, Bertrand, Ruimy, Raymond, Ruppé, Etienne, Ruyer, Olivier, Sabbat, Sébastien, Saghi, Tahar, Saigne, Christophe, Sakek, Necera, Salama, Gilles, Salanoubat, Celia, Salaun-Beretta, Guenaelle, Saliba, Elie, Salles, Gilles, Salmon, Odile, Louis Salomon, Jean, Salord, Jean-Michel, Salvucci, Marina, Samson, Thierry, Sanchez, Richard, Sansot, Dominique, Saplacan, Mihaela, Saroufim, Carlo, Sauder, Philippe, Sautereau, Denis, Savare, Ferdinand, Savatier, Rim, Scemla, Anne, Schendel, Adeline, Schmitt, Anna, Schmitt, François, Schmitt, Alain, Schneerson, Morgane, Schneider, Francis, Schved, Jean-François, Schwebel, Carole, Sebban, Anthony, Secher, Aline, Sédillot, Nicholas, Sedjelmaci, Yacine, Segonds, Christine, Seignovert, Camille, Seknazi, Corinne, Semenescu, Marius, Sément, Arnaud, Semet, Jean-Claude, Semet, Guy, Sennevile, Eric, Serier, Miloud, Serre, Arnaud, Seta, Nathalie, Seyrig, Jacques-Arnaud, Sgro, Eric, Sibony-Prat, Joyce, Sicsic, Jean-Luc, Sifaoui, Farid, Signouret, Thomas, Sigur, Nicolas, Silhadi, Souad, Siméoni, Umberto, Simian, Bernard, Similowski, Thomas, Simon, Georges, Simon, François, Simonin, Catherine, Sirbu, Cristina, Sire, Jean-Marie, Sivadon-Tardy, Valérie, Sivery, Bruno, Slama, Michel, Smati, Salim, Sobesky, Rodolphe, Sokeng-Affoule, Hélène, Sollet, Jean-Pierre, Sommabère, André, Sondag, Daniel, Soraudeau, Florence, Sotto, Albert, Soulie, Bruno, Souply, Laurent, Souquet, Jean-Christophe, Soury, Pierre, Souweine, Bertrand, Stahl, Jean-Paul, Steibach, Marie-Isabelle, Stephan, Robin, Stoclin, Annabelle, Stolidi, Philippe, Strock, Paul, Suatean, Diana, Subra, Jean-François, Sucin, Yves, Suel, Philippe, Sullice, Marc, Szwebel, Tali-Anne, Tacchini, Laurent, Talabani-Boizot, Hana, Talarmin, Jean-Philippe, Taleb, Fethi, Tamalet, Catherine, Tamion, Fabienne, Tandonnet, Olivier, Tankovic, Jacques, Tardy, Véronique, Tassot, Christelle, Taurin, Gregory, Taylor, Sabine, Tchenio, Xavier, Tebib, Jacques, Teillet, Laurent, Teixeira, Antonio, Terki, Mustapha, Tesseydre, Sonia, Texier, Jean-Claude, Texier, Anthony, Thellier, Jean-Paul, Thibaud, Didier, Thibault, Michel, Thibaut, Freddy, Thierry, Jacques, Thoinet, Sylvie, Thomas, Pierre, Thomas, René, Thomas, Yves, Thomas, Caroline, Thore, Jean, Thouret, Jean-Marc, Thouvenin, Maxime, Thuet, Francis, Tigaizin, Ahmed, Tigaud, Sylvestre, Tiry, Catherine, Tissieres, Pierre, Tissot, Alain, Tixier, Anne, Touati, Kamel, Toubia, Marie-Lina, Toullalan, Olivier, Tourani, Jean-Marc, Tourrand, Bernadette, Touze, Yvan, Trabelsi-Jnifen, Asma, Traissac, Laurent, Anh Tran, Tu, Tran, Vanessa, Tricoire, Joelle, Tronchon, Laurent, Trouiller, Sébastien, Trystram, David, Ahmed, Becaid, Tsouria, Tuca, Mirela, Turpin, Mathilde, Vache, Bernard, Vachée, Anne, Vaillant, Christine, Valadier, Patrick, Valayer, Patrick, Valette, Xavier, Vallet, Françis, Van de Velde, Florence, Vanden Einjden, Serge, Vandenesch, François, Vande-perre, Philippe, Varin, Marie-Christine, Vary, Gwenaelle, Vaschalde, Yvan, Vassallo, Matteo, Vasse, Marc, Vasseur, Manica, Vatan, Rémi, Vaucel, Jacques, Vergnaud, Michel, Verhaeghe, Annick, Vermesch-Langlin, Annie, Vernet, Guy, Vernet Garnier, Véronique, Verrier, Virginie, Vessieres, Annie, Vialette, Véronique, Viard, Jean-Paul, Vieillard Baron, Antoine, Vighetto, Alain, Villemain, Marc, Villers, Daniel, Vilque, Jean-Pierre, Vinay, Agnès, Vincent, Didier, Vincent, Pascal, Vincent, Colette, Vincent, Simon, Vinci, Clara, Viole, Didier, Violette, Jérémie, Viquesnel, Gerard, Virlouvet, Anne-Laure, Visentin, Séverine, Vittecoq, Daniel, Vodovar, Dominique, Vrigneaud, Laurence, Vu-Thien, Hoang, Vuotto, Fanny, Wafo, Estelle, Wagner, Michel, Walid, Nicola, Walter, Elisabeth, Watson, Sarah, Weinbreck, Pierre, Weinbronn, Eva, Weiss, Emmanuel, Weitten, Thierry, Welker, Yves, Westeel, Pierre-François, Wink, Olivier, Wintenberger, Claire, Woerther, Paul-Louis, Worcel, Isabelle, Wuillai, Anne, Wurmser, Marc, Xavier, Jacob, Yazdanpanah, Yazdan, Yehia, Aihem, Yvenou, Sterenn, Zagdoun, Elie, Zagozda, Dominique, Zame, Thierry-Pascal, Zamfiri, Oana, Zanaldi, Hélène, Zandecki, Marc, Zaoui, Eric, Zarrouk, Virginie, Zarski, Jean-Pierre, Zavadil, Patrick, Zeller, Valérie, Zerbib, Franck, Zerr, Vincent, Zgarni, Lémia, Zoulim, Fabien, Zoveda, Patrick, Zuber, Pierre, Zumbo, Christian, Charlier, Caroline, Perrodeau, Élodie, Leclercq, Alexandre, Cazenave, Benoît, Pilmis, Benoît, Henry, Benoît, Lopes, Amanda, Maury, Mylène M, Moura, Alexandra, Goffinet, François, Dieye, Hélène Bracq, Thouvenot, Pierre, Ungeheuer, Marie-Noëlle, Tourdjman, Mathieu, Goulet, Véronique, de Valk, Henriette, Lortholary, Olivier, Ravaud, Philippe, and Lecuit, Marc

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2017
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