Impact of perinatal factors on continuous early monitoring of brain electrocortical activity in very preterm newborns by amplitude-integrated EEG.

Background:Amplitude-integrated electroencephalogram (aEEG) is increasingly used for neuromonitoring in preterms. We aimed to quantify the effects of gestational age (GA), postnatal age (PNA), and other perinatal factors on the development of aEEG early after birth in very preterm newborns with normal cerebral ultrasounds.Methods:Continuous aEEG was prospectively performed in 96 newborns (mean GA: 29.5 (range: 24.4-31.9) wk, birth weight 1,260 (580-2,120) g) during the first 96 h of life. aEEG tracings were qualitatively (maturity scores) and quantitatively (amplitudes) evaluated using preestablished criteria.Results:A significant increase in all aEEG measures was observed between day 1 and day 4 and for increasing GA (P < 0.001). The effect of PNA on aEEG development was 6.4- to 11.3-fold higher than that of GA. In multivariate regression, GA and PNA were associated with increased qualitative and quantitative aEEG measures, whereas small-for-GA status was independently associated with increased maximum aEEG amplitude (P = 0.003). Morphine administration negatively affected all aEEG measures (P < .05), and caffeine administration negatively affected qualitative aEEG measures (P = 0.02).Conclusion:During the first few days after birth, aEEG activity in very preterm infants significantly develops and is strongly subjected to the effect of PNA. Perinatal factors may alter the early aEEG tracing and interfere with its interpretation.

Characterization of lead-recycling facility emissions at various workplaces : major insights for sanitary risks assessment

Most available studies on lead smelter emissions deal with the environmental impact of outdoor particles, but only a few focus on air quality at workplaces. The objective of this study is to physically and chemically characterize the Pb-rich particles emitted at different workplaces in a lead recycling plant. A multi-scale characterization was conducted from bulk analysis to the level of individual particles, to assess the particles properties in relation with Pb speciation and availability. Process PM from various origins were sampled and then compared; namely Furnace and Refining PM respectively present in the smelter and at refinery workplaces, Emissions PM present in channeled emissions.These particles first differed by their morphology and size distribution, with finer particles found in emissions. Differences observed in chemical composition could be explained by the industrial processes. All PM contained the same major phases (Pb, PbS, PbO, PbSO4 and PbO·PbSO4) but differed on the nature and amount of minor phases. Due to high content in PM, Pb concentrations in the CaCl2 extractant reached relatively high values (40 mg.L-1). However, the ratios (soluble/total) of CaCl2 exchangeable Pb were relatively low (< 0.02%) in comparison with Cd (up to 18%). These results highlight the interest to assess the soluble fractions of all metals (minor and major) and discuss both total metal concentrations and ratios for risk evaluations. In most cases metal extractability increased with decreasing size of particles, in particular, lead exchangeability was highest for channeled emissions. Such type of study could help in the choice of targeted sanitary protection procedures and for further toxicological investigations. In the present context, particular attention is given to Emissions and Furnace PM. Moreover, exposure to other metals than Pb should be considered. [Authors]

Functional calibration procedure for 3D knee joint angle description using inertial sensors.

Measurement of three-dimensional (3D) knee joint angle outside a laboratory is of benefit in clinical examination and therapeutic treatment comparison. Although several motion capture devices exist, there is a need for an ambulatory system that could be used in routine practice. Up-to-date, inertial measurement units (IMUs) have proven to be suitable for unconstrained measurement of knee joint differential orientation. Nevertheless, this differential orientation should be converted into three reliable and clinically interpretable angles. Thus, the aim of this study was to propose a new calibration procedure adapted for the joint coordinate system (JCS), which required only IMUs data. The repeatability of the calibration procedure, as well as the errors in the measurement of 3D knee angle during gait in comparison to a reference system were assessed on eight healthy subjects. The new procedure relying on active and passive movements reported a high repeatability of the mean values (offset<1 degrees) and angular patterns (SD<0.3 degrees and CMC>0.9). In comparison to the reference system, this functional procedure showed high precision (SD<2 degrees and CC>0.75) and moderate accuracy (between 4.0 degrees and 8.1 degrees) for the three knee angle. The combination of the inertial-based system with the functional calibration procedure proposed here resulted in a promising tool for the measurement of 3D knee joint angle. Moreover, this method could be adapted to measure other complex joint, such as ankle or elbow.

An integrated approach for the assessment of HAB dynamics in two NW Mediterranean bays from a GEOHAB perspective

Alfacs and Fangar Bay in the Ebro Delta, NW Mediterranean are the major sites in Catalonia for shellfish cultivation. These bays are subject to occasional closures in shellfish harvesting due to the presence of phycotoxins. Fish kills have also been associated with harmful algal blooms. The comparison of phytoplankton dynamics in both bays offers the opportunity to reveal differences in bloom patterns of species known to be harmful for the ecosystem and aquaculture activities. Field research is underway under the GEOHAB framework within the Core Research Project on HABs in Fjords and Coastal Embayments. The overall objective of this study is to improve our understanding of HAB biogeographical patterns, and key elements driving bloom dynamics in time and space within these semi-constrained embayments. Via the comparative approach we aim to improve the prediction for monitoring purposes, with a focus on Karlodinium spp. associated with massive kills of aquaculture species. This objective is addressed by incorporating long-term time series of phytoplankton identification and enumeration with the first results of recent field work in both bays. The latter includes the application of optical sensors, to yield a complementary view with enhanced spatial and temporal resolution of bloom phenomena.

Suivi thérapeutique des médicaments (II). La pratique clinique [Therapeutic drug monitoring: clinical practice].

When requesting a blood level measurement in the context of "Therapeutic drug monitoring" (TDM), numerous aspects have to be considered in the pre-analytical and analytical area, as in the integration of associated clinical data. This review presents therapeutic classes for which a clinical benefit of TDM is established or suggested, at least in some settings. For each class of drugs, the main pharmacokinetic, pre-analytical, analytical and clinical aspects are evaluated in the scope of such a monitoring. Each step of the TDM process is important and none should be neglected. Additional clinical trials are however warranted to better establish the exact conditions of use for such a monitoring.

Review of therapeutic drug monitoring of anticancer drugs part two - Targeted therapies.

Most of oral targeted therapies are tyrosine kinase inhibitors (TKIs). Oral administration generates a complex step in the pharmacokinetics (PK) of these drugs. Inter-individual PK variability is often large and variability observed in response is influenced not only by the genetic heterogeneity of drug targets, but also by the pharmacogenetic background of the patient (e.g. cytochome P450 and ABC transporter polymorphisms), patient characteristics such as adherence to treatment and environmental factors (drug-drug interactions). Retrospective studies have shown that targeted drug exposure, reflected in the area under the plasma concentration-time curve (AUC) correlates with treatment response (efficacy/toxicity) in various cancers. Nevertheless levels of evidence for therapeutic drug monitoring (TDM) are however heterogeneous among these agents and TDM is still uncommon for the majority of them. Evidence for imatinib currently exists, others are emerging for compounds including nilotinib, dasatinib, erlotinib, sunitinib, sorafenib and mammalian target of rapamycin (mTOR) inhibitors. Applications for TDM during oral targeted therapies may best be reserved for particular situations including lack of therapeutic response, severe or unexpected toxicities, anticipated drug-drug interactions and/or concerns over adherence treatment. Interpatient PK variability observed with monoclonal antibodies (mAbs) is comparable or slightly lower to that observed with TKIs. There are still few data with these agents in favour of TDM approaches, even if data showed encouraging results with rituximab, cetuximab and bevacizumab. At this time, TDM of mAbs is not yet supported by scientific evidence. Considerable effort should be made for targeted therapies to better define concentration-effect relationships and to perform comparative randomised trials of classic dosing versus pharmacokinetically-guided adaptive dosing.

Monitoring of innate and adaptive immune responses in the context of human immunotherapy

Summary1 SummaryCancer patients have a better clinical outcome when their tumours display marked infiltration by memory Τ cells. Moreover, the overrepresentation of Th1 gene signatures in primary tumours correlates with favourable prognosis. Thus, vaccination to induce Τ cells capable of infiltrating and eradicating the tumour seems a promising strategy for the treatment of cancer. Here, I monitored CD4 Τ cell responses in melanoma patients vaccinated with the long synthetic peptides Melan- A16-35(A27L) and NY-ESO-179.108. Most of the patients developed strong and diverse peptide antigen specific CD4 Τ cell responses. Analysis of the fine specificity of CD4 Τ cell antigen recognition led to the identification of two new epitopes. The peptide Melan-A16_35(A27L) was delivered by virus-like particles (VLPs) derived from bacteriophage Οβ, which themselves displayed strong immunogenicity. I show evidence for induction of Οβ- and Melan-A specific CD4 Τ cell responses that developed a Th1 functional profile after repeated vaccination cycles. They also specifically released the chemokines CCL-3 and CCL-4, which play important roles in attracting CD8 Τ cells to the APC surface for priming and formation of Τ cell memory. We further found induction of robust humoral IgG responses upon VLP vaccination, and the lgG1-lgG4 isotype composition depended on the adjuvant used. Since heavy chain class switching largely dépends on the presence of CD4 Τ cell help, this result suggests that the adjuvant can influence the differentiation of elicited CD4 Τ cells, thereby contributing to the quality and function of both Β cells and CD8 Τ cells. The nature of the inflammatory processes in the tumour microenvironment can modulate CD8 Τ cell function. A collaboration was established for the investigation regulation of inflammasome activation in human primary monocytes. We identified IL- 4 and TGF-β as strong inhibitors of IL-1 β secretion, Indicating some level of regulation from effector Th2 and Treg responses. We further found a potent inhibition of inflammasome activation by type I interferon, and demonstrated in vivo inhibition of IL-1 β responses in monocytes from active multiple sclerosis patients under IFN-β therapy. This finding further offers a possible explanation for its success, which mechanism of action is still largely unclear. Interestingly, type I interferon is also being used as adjuvant treatment for tumour free metastatic cutaneous melanoma patients. While its clinical benefit has remained controversial, recent data suggest that the subset of patients with ulcerated primary melanoma lesions can benefit from this therapy. Future investigations will shed light on the implication of the inflammasome in this context, and may offer new strategies for improved adjuvant treatments of melanoma.2 RésuméLes patients atteints de cancer ont une meilleure chance de survie si leurs tumeurs s'avèrent être largement infiltrées par des cellules Τ mémoires. De plus, la surreprésentation d'une signature génique Th1 est en corrélation avec un pronostic favorable. Ainsi, la vaccination visant à induire des cellules Τ capables d'infiltrer et de détruire la tumeur parait être une stratégie prometteuse pour le traitement du cancer. Dans ce travail, j'ai procédé au monitoring de la réponse des cellules Τ CD4 dans des patients atteints de mélanome vaccinés avec les longs peptides synthétiques Melan-A16_35(A27L) et NY-ESO-179_108. Ces peptides représentent des antigènes tumoraux reconnus par des lymphocytes T. La majorité des patients a développé une réponse forte et diversifiée des cellules Τ CD4 spécifiques contre les peptides. L'analyse de la spécificité fine de la reconnaissance antigénique des cellules Τ CD4 nous a conduits à l'identification de deux nouveaux épitopes. Le peptide Melan-Aie. 35(A27L) a été délivré par des particules de type viral (VLPs) dérivés de bactériophages Qβ, qui ont eux-mêmes démontré une forte immunogénicité. Mon travail montre les preuves d'une induction de réponses spécifiques des cellules Τ CD4 contre les Qβ et Melan-A développant un profil fonctionnel Th1 après plusieurs cycles de vaccination. Elles secrètent aussi spécifiquement les chimiokines CCL-3 et CCL-4, qui jouent un rôle important dans l'attraction des cellules Τ CD8 à la surface des cellules présentatrices d'antigènes et contribuent ainsi à induire et former la mémoire cellulaire Τ CD8. Nous avons également remarqué une induction de fortes réponses humorales IgG après vaccination avec les VLPs, et que la composition des isotypes lgG1-lgG4 dépendait de l'adjuvant utilisé. Etant donné qu'une commutation de classe de la chaîne lourde dépend largement ùie l'aide des cellules Τ CD4, ce résultat suggère que l'adjuvant puisse influencer la différeritiation de cellules Τ CD4 en différent types, contribuant ainsi à la qualité et à la fonction des cellules Β et des cellules Τ CD8.La nature des processus d'inflammation dans le microenvironnement tumoral peut moduler la fonction des cellules Τ CD8. Une collaboration a été établie pour investiguer la régulation de l'activation de l'inflammasome dans des monocytes primaires humains. Nous avons identifié l'IL-4 et le TGF-β comme étant de puissants inhibiteurs de la sécrétion de IL-Ιβ, indiquant une certaine régulation de la réponse inflammatoire induite par les cellules Th2 et Τ régulatrices. Nous avons également trouvé une forte inhibition de l'activation de l'inflammasome par l'interféron type I, et nous avons démontré une inhibition in vivo de la réponse IL-1 β dans des monocytes de patients atteints d'une sclérose en plaque active sous traitement IFN-β. Ce résultat nous offre une possible explication du succès de cette thérapie, dont le mécanisme reste à ce jour encore largement obscur. Il est intéressant de noter que l'interféron de type I est également utilisé pour le traitement de patients atteints de mélanome cutané métastasique sans tumeurs. Bien que le bénéfice clinique de ce traitement reste controversé, des études récentes montrent qu'une partie des patients atteints de mélanome primaire ulcéré peut tirer bénéfice de cette thérapie. De futures investigations pourront mieux nous renseigner sur l'implication de l'inflammasome dans ce contexte et offrir de nouvelles stratégies pour améliorer les traitements adjuvants du mélanome.

Sistema per al control de sensors mitjançant P2P

L'objectiu del projecte és la creació d'una aplicació Android que permeti monitoritzar i controlar l'estat de sensors. El projecte ha de definir l'arquitectura del sistema complet tot i que es desenvolupa únicament l'aplicació d'Android i la comunicació peer-to-peer. L'ús de sensors és simulat i queda fora de l'abast d'aquest projecte.

Iowa Water Pollution Control Works and Drinking Water Facilities Financing Programs (Joint Programs of the Iowa Finance Authority and the Iowa Department of Natural Resources), June 30, 2002

State Agency Audit Report State Revolving Fund - Clean Water & Drinking Programs

Forensic intelligence framework. Part II: study of the main generic building blocks and challenges through the examples of illicit drugs and false identity documents monitoring

The development of forensic intelligence relies on the expression of suitable models that better represent the contribution of forensic intelligence in relation to the criminal justice system, policing and security. Such models assist in comparing and evaluating methods and new technologies, provide transparency and foster the development of new applications. Interestingly, strong similarities between two separate projects focusing on specific forensic science areas were recently observed. These observations have led to the induction of a general model (Part I) that could guide the use of any forensic science case data in an intelligence perspective. The present article builds upon this general approach by focusing on decisional and organisational issues. The article investigates the comparison process and evaluation system that lay at the heart of the forensic intelligence framework, advocating scientific decision criteria and a structured but flexible and dynamic architecture. These building blocks are crucial and clearly lay within the expertise of forensic scientists. However, it is only part of the problem. Forensic intelligence includes other blocks with their respective interactions, decision points and tensions (e.g. regarding how to guide detection and how to integrate forensic information with other information). Formalising these blocks identifies many questions and potential answers. Addressing these questions is essential for the progress of the discipline. Such a process requires clarifying the role and place of the forensic scientist within the whole process and their relationship to other stakeholders.

Guidelines for the use and interpretation of assays for monitoring autophagy.

In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field.

Kernel-based methods for change detection in remote sensing images

Nowadays, the joint exploitation of images acquired daily by remote sensing instruments and of images available from archives allows a detailed monitoring of the transitions occurring at the surface of the Earth. These modifications of the land cover generate spectral discrepancies that can be detected via the analysis of remote sensing images. Independently from the origin of the images and of type of surface change, a correct processing of such data implies the adoption of flexible, robust and possibly nonlinear method, to correctly account for the complex statistical relationships characterizing the pixels of the images. This Thesis deals with the development and the application of advanced statistical methods for multi-temporal optical remote sensing image processing tasks. Three different families of machine learning models have been explored and fundamental solutions for change detection problems are provided. In the first part, change detection with user supervision has been considered. In a first application, a nonlinear classifier has been applied with the intent of precisely delineating flooded regions from a pair of images. In a second case study, the spatial context of each pixel has been injected into another nonlinear classifier to obtain a precise mapping of new urban structures. In both cases, the user provides the classifier with examples of what he believes has changed or not. In the second part, a completely automatic and unsupervised method for precise binary detection of changes has been proposed. The technique allows a very accurate mapping without any user intervention, resulting particularly useful when readiness and reaction times of the system are a crucial constraint. In the third, the problem of statistical distributions shifting between acquisitions is studied. Two approaches to transform the couple of bi-temporal images and reduce their differences unrelated to changes in land cover are studied. The methods align the distributions of the images, so that the pixel-wise comparison could be carried out with higher accuracy. Furthermore, the second method can deal with images from different sensors, no matter the dimensionality of the data nor the spectral information content. This opens the doors to possible solutions for a crucial problem in the field: detecting changes when the images have been acquired by two different sensors.

Suivi thérapeutique des médicaments (I). Les principes [Principles of therapeutic drug monitoring]

Requesting a blood level measurement of a drug is part of the global approach known as "Therapeutic Drug Monitoring". Diverse situations require this monitoring approach, such as inadequate response to treatment or organ failure. Every drug however does not possess all the characteristics for a TDM program. The therapeutic range of a TDM drug has indeed to be narrow and its interindividual pharmacokinetic variability to be wide. As the development of new drugs is currently slowing down, the precise management of existing treatments certainly deserves progress, but needs however to be applied rationally, starting from a valid indication to blood sampling, and ending with a sound dosage adaptation decision.

Recommendations on the use of EEG monitoring in critically ill patients: consensus statement from the neurointensive care section of the ESICM.

OBJECTIVES: Recommendations for EEG monitoring in the ICU are lacking. The Neurointensive Care Section of the ESICM assembled a multidisciplinary group to establish consensus recommendations on the use of EEG in the ICU. METHODS: A systematic review was performed and 42 studies were included. Data were extracted using the PICO approach, including: (a) population, i.e. ICU patients with at least one of the following: traumatic brain injury, subarachnoid hemorrhage, intracerebral hemorrhage, stroke, coma after cardiac arrest, septic and metabolic encephalopathy, encephalitis, and status epilepticus; (b) intervention, i.e. EEG monitoring of at least 30 min duration; (c) control, i.e. intermittent vs. continuous EEG, as no studies compared patients with a specific clinical condition, with and without EEG monitoring; (d) outcome endpoints, i.e. seizure detection, ischemia detection, and prognostication. After selection, evidence was classified and recommendations developed using the GRADE system. RECOMMENDATIONS: The panel recommends EEG in generalized convulsive status epilepticus and to rule out nonconvulsive seizures in brain-injured patients and in comatose ICU patients without primary brain injury who have unexplained and persistent altered consciousness. We suggest EEG to detect ischemia in comatose patients with subarachnoid hemorrhage and to improve prognostication of coma after cardiac arrest. We recommend continuous over intermittent EEG for refractory status epilepticus and suggest it for patients with status epilepticus and suspected ongoing seizures and for comatose patients with unexplained and persistent altered consciousness. CONCLUSIONS: EEG monitoring is an important diagnostic tool for specific indications. Further data are necessary to understand its potential for ischemia assessment and coma prognostication.