Effects of computing parameters and measurement locations on the estimation of 3D NPS in non-stationary MDCT images.

The goal of this study was to investigate the impact of computing parameters and the location of volumes of interest (VOI) on the calculation of 3D noise power spectrum (NPS) in order to determine an optimal set of computing parameters and propose a robust method for evaluating the noise properties of imaging systems. Noise stationarity in noise volumes acquired with a water phantom on a 128-MDCT and a 320-MDCT scanner were analyzed in the spatial domain in order to define locally stationary VOIs. The influence of the computing parameters in the 3D NPS measurement: the sampling distances bx,y,z and the VOI lengths Lx,y,z, the number of VOIs NVOI and the structured noise were investigated to minimize measurement errors. The effect of the VOI locations on the NPS was also investigated. Results showed that the noise (standard deviation) varies more in the r-direction (phantom radius) than z-direction plane. A 25 × 25 × 40 mm(3) VOI associated with DFOV = 200 mm (Lx,y,z = 64, bx,y = 0.391 mm with 512 × 512 matrix) and a first-order detrending method to reduce structured noise led to an accurate NPS estimation. NPS estimated from off centered small VOIs had a directional dependency contrary to NPS obtained from large VOIs located in the center of the volume or from small VOIs located on a concentric circle. This showed that the VOI size and location play a major role in the determination of NPS when images are not stationary. This study emphasizes the need for consistent measurement methods to assess and compare image quality in CT.

Iowa Development of Rubblized Concrete Pavement Base Mills County, Construction Report, HR-315, 1990

The concept of rubblizing existing concrete pavement prior to the placement of an asphaltic cement concrete overlay has been around for several years and, in fact, has been tried successfully in the states of New York, Michigan, and Ohio. With available construction and maintenance dollars usually not meeting the demands of the needed work, much of the necessary rehabilitation of existing Portland cement concrete pavements is not being completed when it would be most beneficial. Research project HR-315, "Iowa Development of Rubblized Concrete", has been undertaken to determine the effects of rubblized concrete pavement base as it affects the cracking pattern and longevity of the ACC overlay.

Transcatheter coil embolization of multiple bilateral congenital coronary artery fistulae.

Coronary artery fistulae represent the most frequent congenital anomalies of the coronary arteries, but remain a relatively uncommon clinical problem. Moreover, multiple fistulae originating from both the left and the right coronary arteries and draining into the left ventricular chamber are a rare condition. Due to the low prevalence of these anomalies, the appropriate management of patients with symptomatic coronary artery fistulae is controversial. Transcatheter closure approaches have emerged as a less invasive strategy and are nowadays considered a valuable alternative to surgical correction with similar effectiveness, morbidity and mortality. The percutaneous management, however, is mainly limited by the individual anatomic features of the fistula and an appropriate patient's selection is considered as a key determining factor to achieve complete occlusion. Thus, success rates of transcatheter closure techniques reported in the literature are extremely variable and highly dependent upon the nature of the follow up, which, at present, is not standardized. The optimal management of symptomatic patients with multiple coronary artery fistulae still remains a challenging problem and has been traditionally considered as an indication for cardiac surgery. We report here the case of a patient with double bilateral congenital coronary artery fistulae arising from both the left and right coronary arteries and draining individually into the left ventricular chamber. This patient underwent successful transcatheter anterograde closure of both fistulae using a microcoil embolization technique.

The role of laparoscopic biopsies in lumbar spondylodiscitis.

Infection of an intervertebral disk is a serious condition. Diagnosis often is elusive and difficult. It is imperative to obtain appropriate microbiological specimens before initiation of treatment. The authors describe a 51-year-old woman with lumbar spondylodiscitis that was because of infection after the placement of an epidural catheter for postoperative analgesia. A spinal magnetic resonance imaging confirmed the diagnosis, but computed tomography-guided fine needle biopsy did not provide adequate material for a microbiologic diagnosis. Laparoscopic biopsies of the involved disk provided good specimens and a diagnosis of Propionibacterium acnes infection. The authors believe that this minimally invasive procedure should be performed when computed tomography-guided fine needle biopsy does not provide a microbiologic diagnosis in spondylodiscitis.

Timing of Capacity Change: Models for Capital Intensive Industry

The suitable timing of capacity investments is a remarkable issue especially in capital intensive industries. Despite its importance, fairly few studies have been published on the topic. In the present study models for the timing of capacity change in capital intensive industry are developed. The study considers mainly the optimal timing of single capacity changes. The review of earlier research describes connections between cost, capacity and timing literature, and empirical examples are used to describe the starting point of the study and to test the developed models. The study includes four models, which describe the timing question from different perspectives. The first model, which minimizes unit costs, has been built for capacity expansion and replacement situations. It is shown that the optimal timing of an investment can be presented with the capacity and cost advantage ratios. After the unit cost minimization model the view is extended to the direction of profit maximization. The second model states that early investments are preferable if the change of fixed costs is small compared to the change of the contribution margin. The third model is a numerical discounted cash flow model, which emphasizes the roles of start-up time, capacity utilization rate and value of waiting as drivers of the profitable timing of a project. The last model expands the view from project level to company level and connects the flexibility of assets and cost structures to the timing problem. The main results of the research are the solutions of the models and analysis or simulations done with the models. The relevance and applicability of the results are verified by evaluating the logic of the models and by numerical cases.

Computer-aided volume measurement of posttraumatic orbits reconstructed with AO titanium mesh plates: accuracy and reliability

PURPOSE: To prospectively evaluate the accuracy and reliability of "freehand" posttraumatic orbital wall reconstruction with AO (Arbeitsgemeinschaft Osteosynthese) titanium mesh plates by using computer-aided volumetric measurement of the bony orbits. METHODS: Bony orbital volume was measured in 12 patients from coronal CT scan slices using OsiriX Medical Image software. After defining the volumetric limits of the orbit, the segmentation of the bony orbital region of interest of each single slice was performed. At the end of the segmentation process, all regions of interest were grouped and the volume was computed. The same procedure was performed on both orbits, and thereafter the volume of the contralateral uninjured orbit was used as a control for comparison. RESULTS: In all patients, the volume data of the reconstructed orbit fitted that of the contralateral uninjured orbit with accuracy to within 1.85 cm3 (7%). CONCLUSIONS: This preliminary study has demonstrated that posttraumatic orbital wall reconstruction using "freehand" bending and placement of AO titanium mesh plates results in a high success rate in re-establishing preoperative bony volume, which closely approximates that of the contralateral uninjured orbit.

Making better biogeographical predictions of species' distributions

1. Biogeographical models of species' distributions are essential tools for assessing impacts of changing environmental conditions on natural communities and ecosystems. Practitioners need more reliable predictions to integrate into conservation planning (e.g. reserve design and management). 2. Most models still largely ignore or inappropriately take into account important features of species' distributions, such as spatial autocorrelation, dispersal and migration, biotic and environmental interactions. Whether distributions of natural communities or ecosystems are better modelled by assembling individual species' predictions in a bottom-up approach or modelled as collective entities is another important issue. An international workshop was organized to address these issues. 3. We discuss more specifically six issues in a methodological framework for generalized regression: (i) links with ecological theory; (ii) optimal use of existing data and artificially generated data; (iii) incorporating spatial context; (iv) integrating ecological and environmental interactions; (v) assessing prediction errors and uncertainties; and (vi) predicting distributions of communities or collective properties of biodiversity. 4. Synthesis and applications. Better predictions of the effects of impacts on biological communities and ecosystems can emerge only from more robust species' distribution models and better documentation of the uncertainty associated with these models. An improved understanding of causes of species' distributions, especially at their range limits, as well as of ecological assembly rules and ecosystem functioning, is necessary if further progress is to be made. A better collaborative effort between theoretical and functional ecologists, ecological modellers and statisticians is required to reach these goals.

Quantitative multiparameter assays to measure the effect of adjuvants on human antigen-specific CD8 T-cell responses.

Large numbers and functionally competent T cells are required to protect from diseases for which antibody-based vaccines have consistently failed (1), which is the case for many chronic viral infections and solid tumors. Therefore, therapeutic vaccines aim at the induction of strong antigen-specific T-cell responses. Novel adjuvants have considerably improved the capacity of synthetic vaccines to activate T cells, but more research is necessary to identify optimal compositions of potent vaccine formulations. Consequently, there is a great need to develop accurate methods for the efficient identification of antigen-specific T cells and the assessment of their functional characteristics directly ex vivo. In this regard, hundreds of clinical vaccination trials have been implemented during the last 15 years, and monitoring techniques become more and more standardized.

Official Positions for FRAX® Bone Mineral Density and FRAX® simplification from Joint Official Positions Development Conference of the International Society for Clinical Densitometry and International Osteoporosis Foundation on FRAX®.

Tools to predict fracture risk are useful for selecting patients for pharmacological therapy in order to reduce fracture risk and redirect limited healthcare resources to those who are most likely to benefit. FRAX® is a World Health Organization fracture risk assessment algorithm for estimating the 10-year probability of hip fracture and major osteoporotic fracture. Effective application of FRAX® in clinical practice requires a thorough understanding of its limitations as well as its utility. For some patients, FRAX® may underestimate or overestimate fracture risk. In order to address some of the common issues encountered with the use of FRAX® for individual patients, the International Society for Clinical Densitometry (ISCD) and International Osteoporosis Foundation (IOF) assigned task forces to review the medical evidence and make recommendations for optimal use of FRAX® in clinical practice. Among the issues addressed were the use of bone mineral density (BMD) measurements at skeletal sites other than the femoral neck, the use of technologies other than dual-energy X-ray absorptiometry, the use of FRAX® without BMD input, the use of FRAX® to monitor treatment, and the addition of the rate of bone loss as a clinical risk factor for FRAX®. The evidence and recommendations were presented to a panel of experts at the Joint ISCD-IOF FRAX® Position Development Conference, resulting in the development of Joint ISCD-IOF Official Positions addressing FRAX®-related issues.

Characterisation of the LMS200 laser beam under the influence of blockage surfaces. Influence on 3D scanning of tree orchards

The geometric characterisation of tree orchards is a high-precision activity comprising the accurate measurement and knowledge of the geometry and structure of the trees. Different types of sensors can be used to perform this characterisation. In this work a terrestrial LIDAR sensor (SICK LMS200) whose emission source was a 905-nm pulsed laser diode was used. Given the known dimensions of the laser beam cross-section (with diameters ranging from 12 mm at the point of emission to 47.2 mm at a distance of 8 m), and the known dimensions of the elements that make up the crops under study (flowers, leaves, fruits, branches, trunks), it was anticipated that, for much of the time, the laser beam would only partially hit a foreground target/object, with the consequent problem of mixed pixels or edge effects. Understanding what happens in such situations was the principal objective of this work. With this in mind, a series of tests were set up to determine the geometry of the emitted beam and to determine the response of the sensor to different beam blockage scenarios. The main conclusions that were drawn from the results obtained were: (i) in a partial beam blockage scenario, the distance value given by the sensor depends more on the blocked radiant power than on the blocked surface area; (ii) there is an area that influences the measurements obtained that is dependent on the percentage of blockage and which ranges from 1.5 to 2.5 m with respect to the foreground target/object. If the laser beam impacts on a second target/object located within this range, this will affect the measurement given by the sensor. To interpret the information obtained from the point clouds provided by the LIDAR sensors, such as the volume occupied and the enclosing area, it is necessary to know the resolution and the process for obtaining this mesh of points and also to be aware of the problem associated with mixed pixels.

Performance of an ultrasonic ranging sensor in apple tree canopies

Electronic canopy characterization is an important issue in tree crop management. Ultrasonic and optical sensors are the most used for this purpose. The objective of this work was to assess the performance of an ultrasonic sensor under laboratory and field conditions in order to provide reliable estimations of distance measurements to apple tree canopies. To this purpose, a methodology has been designed to analyze sensor performance in relation to foliage ranging and to interferences with adjacent sensors when working simultaneously. Results show that the average error in distance measurement using the ultrasonic sensor in laboratory conditions is ±0.53 cm. However, the increase of variability in field conditions reduces the accuracy of this kind of sensors when estimating distances to canopies. The average error in such situations is ±5.11 cm. When analyzing interferences of adjacent sensors 30 cm apart, the average error is ±17.46 cm. When sensors are separated 60 cm, the average error is ±9.29 cm. The ultrasonic sensor tested has been proven to be suitable to estimate distances to the canopy in field conditions when sensors are 60 cm apart or more and could, therefore, be used in a system to estimate structural canopy parameters in precision horticulture.

Identifying the preferred subset of enzymatic profiles in nonlinear kinetic metabolic models via multiobjective global optimization and pareto filters

Optimization models in metabolic engineering and systems biology focus typically on optimizing a unique criterion, usually the synthesis rate of a metabolite of interest or the rate of growth. Connectivity and non-linear regulatory effects, however, make it necessary to consider multiple objectives in order to identify useful strategies that balance out different metabolic issues. This is a fundamental aspect, as optimization of maximum yield in a given condition may involve unrealistic values in other key processes. Due to the difficulties associated with detailed non-linear models, analysis using stoichiometric descriptions and linear optimization methods have become rather popular in systems biology. However, despite being useful, these approaches fail in capturing the intrinsic nonlinear nature of the underlying metabolic systems and the regulatory signals involved. Targeting more complex biological systems requires the application of global optimization methods to non-linear representations. In this work we address the multi-objective global optimization of metabolic networks that are described by a special class of models based on the power-law formalism: the generalized mass action (GMA) representation. Our goal is to develop global optimization methods capable of efficiently dealing with several biological criteria simultaneously. In order to overcome the numerical difficulties of dealing with multiple criteria in the optimization, we propose a heuristic approach based on the epsilon constraint method that reduces the computational burden of generating a set of Pareto optimal alternatives, each achieving a unique combination of objectives values. To facilitate the post-optimal analysis of these solutions and narrow down their number prior to being tested in the laboratory, we explore the use of Pareto filters that identify the preferred subset of enzymatic profiles. We demonstrate the usefulness of our approach by means of a case study that optimizes the ethanol production in the fermentation of Saccharomyces cerevisiae.

Preclinical Pharmacokinetics, Pharmacodynamics and Safety of Sucroferric Oxyhydroxide.

Sucroferric oxyhydroxide (VELPHORO(®)) is a polynuclear iron-based phosphate binder recently approved for the treatment of hyperphosphataemia in patients with chronic kidney disease (CKD). As a number of the available phosphate binders do not provide the optimal combination of good efficacy, adequate tolerability and low pill burden, sucroferric oxyhydroxide constitutes a promising alternative. Among the attributes of an ideal phosphate binder is minimal absorption and, hence, low risk of systemic toxicity. Accordingly, the iron-releasing properties and absorption, distribution, metabolism and excretion (ADME) profile of sucroferric oxyhydroxide, as well as the possibility of iron accumulation and toxicity, were investigated in a series of preclinical studies. The effect of sucroferric oxyhydroxide on the progression of vascular calcification was also investigated. Sucroferric oxyhydroxide exhibited a high phosphate-binding capacity and low iron-releasing properties across the physiological pH range found in the gastrointestinal tract. In the ADME studies, uptake of (59)Fe-radiolabelled sucroferric oxyhydroxide was low in rats and dogs (<1% from a 50 mg Fe/kg bodyweight dose), with the majority of absorbed iron located in red blood cells. Long-term (up to 2 years) administration of sucroferric oxyhydroxide in rats and dogs was associated with modest increases in tissue iron levels and no iron toxicity. Moreoever, in uraemic rats, sucroferric oxyhydroxide was associated with reduced progression of vascular calcification compared with calcium carbonate. In conclusion, sucroferric oxyhydroxide offers a new option for the treatment of hyperphosphataemia, with a high phosphate-binding capacity, minimal iron release, and low potential for iron accumulation and toxicity.

Intrinsic ROS-production capacity of nanoparticles

Engineered nanomaterials (ENMs) exhibit special physicochemical properties and thus are finding their way into an increasing number of industries, enabling products with improved properties. Their increased use brings a greater likelihood of exposure to the nanoparticles (NPs) that could be released during the life cycle of nano-abled products. The field of nanotoxicology has emerged as a consequence of the development of these novel materials, and it has gained ever more attention due to the urgent need to gather information on exposure to them and to understand the potential hazards they engender. However, current studies on nanotoxicity tend to focus on pristine ENMs, and they use these toxicity results to generalize risk assessments on human exposure to NPs. ENMs released into the environment can interact with their surroundings, change characteristics and exhibit toxicity effects distinct from those of pristine ENMs. Furthermore, NPs' large surface areas provide extra-large potential interfaces, thus promoting more significant interactions between NPs and other co-existing species. In such processes, other species can attach to a NP's surface and modify its surface functionality, in addition to the toxicity in normally exhibits. One particular occupational health scenario involves NPs and low-volatile organic compounds (LVOC), a common type of pollutant existing around many potential sources of NPs. LVOC can coat a NP's surface and then dominate its toxicity. One important mechanism in nanotoxicology is the creation of reactive oxygen species (ROS) on a NP's surface; LVOC can modify the production of these ROS. In summary, nanotoxicity research should not be limited to the toxicity of pristine NPs, nor use their toxicity to evaluate the health effects of exposure to environmental NPs. Instead, the interactions which NPs have with other environmental species should also be considered and researched. The potential health effects of exposure to NPs should be derived from these real world NPs with characteristics modified by the environment and their distinct toxicity. Failure to suitably address toxicity results could lead to an inappropriate treatment of nano- release, affect the environment and public health and put a blemish on the development of sustainable nanotechnologies as a whole. The main objective of this thesis is to demonstrate a process for coating NP surfaces with LVOC using a well-controlled laboratory design and, with regard to these NPs' capacity to generate ROS, explore the consequences of changing particle toxicity. The dynamic coating system developed yielded stable and replicable coating performance, simulating an important realistic scenario. Clear changes in the size distribution of airborne NPs were observed using a scanning mobility particle sizer, were confirmed using both liquid nanotracking analyses and transmission electron microscopy (TEM) imaging, and were verified thanks to the LVOC coating. Coating thicknesses corresponded to the amount of coating material used and were controlled using the parameters of the LVOC generator. The capacity of pristine silver NPs (Ag NPs) to generate ROS was reduced when they were given a passive coating of inert paraffin: this coating blocked the reactive zones on the particle surfaces. In contrast, a coating of active reduced-anthraquinone contributed to redox reactions and generated ROS itself, despite the fact that ROS generation due to oxidation by Ag NPs themselves was quenched. Further objectives of this thesis included development of ROS methodology and the analysis of ROS case studies. Since the capacity of NPs to create ROS is an important effect in nanotoxicity, we attempted to refine and standardize the use of 2'7-dichlorodihydrofluorescin (DCFH) as a chemical tailored for the characterization of NPs' capacity for ROS generation. Previous studies had reported a wide variety of results, which were due to a number of insufficiently well controlled factors. We therefore cross-compared chemicals and concentrations, explored ways of dispersing NP samples in liquid solutions, identified sources of contradictions in the literature and investigated ways of reducing artificial results. The most robust results were obtained by sonicating an optimal sample of NPs in a DCFH-HRP solution made of 5,M DCFH and 0.5 unit/ml horseradish peroxidase (HRP). Our findings explained how the major reasons for previously conflicting results were the different experimental approaches used and the potential artifacts appearing when using high sample concentrations. Applying our advanced DCFH protocol with other physicochemical characterizations and biological analyses, we conducted several case studies, characterizing aerosols and NP samples. Exposure to aged brake wear dust engenders a risk of potential deleterious health effects in occupational scenarios. We performed microscopy and elemental analyses, as well as ROS measurements, with acellular and cellular DCFH assays. TEM images revealed samples to be heterogeneous mixtures with few particles in the nano-scale. Metallic and non-metallic elements were identified, primarily iron, carbon and oxygen. Moderate amounts of ROS were detected in the cell-free fluorescent tests; however, exposed cells were not dramatically activated. In addition to their highly aged state due to oxidation, the reason aged brake wear samples caused less oxidative stress than fresh brake wear samples may be because of their larger size and thus smaller relative reactive surface area. Other case studies involving welding fumes and differently charged NPs confirmed the performance of our DCFH assay and found ROS generation linked to varying characteristics, especially the surface functionality of the samples. Les nanomatériaux manufacturés (ENM) présentent des propriétés physico-chimiques particulières et ont donc trouvés des applications dans un nombre croissant de secteurs, permettant de réaliser des produits ayant des propriétés améliorées. Leur utilisation accrue engendre un plus grand risque pour les êtres humains d'être exposés à des nanoparticules (NP) qui sont libérées au long de leur cycle de vie. En conséquence, la nanotoxicologie a émergé et gagné de plus en plus d'attention dû à la nécessité de recueillir les renseignements nécessaires sur l'exposition et les risques associés à ces nouveaux matériaux. Cependant, les études actuelles sur la nanotoxicité ont tendance à se concentrer sur les ENM et utiliser ces résultats toxicologiques pour généraliser l'évaluation des risques sur l'exposition humaine aux NP. Les ENM libérés dans l'environnement peuvent interagir avec l'environnement, changeant leurs caractéristiques, et montrer des effets de toxicité distincts par rapport aux ENM originaux. Par ailleurs, la grande surface des NP fournit une grande interface avec l'extérieur, favorisant les interactions entre les NP et les autres espèces présentes. Dans ce processus, d'autres espèces peuvent s'attacher à la surface des NP et modifier leur fonctionnalité de surface ainsi que leur toxicité. Un scénario d'exposition professionnel particulier implique à la fois des NP et des composés organiques peu volatils (LVOC), un type commun de polluant associé à de nombreuses sources de NP. Les LVOC peuvent se déposer sur la surface des NP et donc dominer la toxicité globale de la particule. Un mécanisme important en nanotoxicologie est la création d'espèces réactives d'oxygène (ROS) sur la surface des particules, et les LVOC peuvent modifier cette production de ROS. En résumé, la recherche en nanotoxicité ne devrait pas être limitée à la toxicité des ENM originaux, ni utiliser leur toxicité pour évaluer les effets sur la santé de l'exposition aux NP de l'environnement; mais les interactions que les NP ont avec d'autres espèces environnementales doivent être envisagées et étudiées. Les effets possibles sur la santé de l'exposition aux NP devraient être dérivés de ces NP aux caractéristiques modifiées et à la toxicité distincte. L'utilisation de résultats de toxicité inappropriés peut conduire à une mauvaise prise en charge de l'exposition aux NP, de détériorer l'environnement et la santé publique et d'entraver le développement durable des industries de la nanotechnologie dans leur ensemble. L'objectif principal de cette thèse est de démontrer le processus de déposition des LVOC sur la surface des NP en utilisant un environnement de laboratoire bien contrôlé et d'explorer les conséquences du changement de toxicité des particules sur leur capacité à générer des ROS. Le système de déposition dynamique développé a abouti à des performances de revêtement stables et reproductibles, en simulant des scénarios réalistes importants. Des changements clairs dans la distribution de taille des NP en suspension ont été observés par spectrométrie de mobilité électrique des particules, confirmé à la fois par la méthode dite liquid nanotracking analysis et par microscopie électronique à transmission (MET), et a été vérifié comme provenant du revêtement par LVOC. La correspondance entre l'épaisseur de revêtement et la quantité de matériau de revêtement disponible a été démontré et a pu être contrôlé par les paramètres du générateur de LVOC. La génération de ROS dû aux NP d'argent (Ag NP) a été diminuée par un revêtement passif de paraffine inerte bloquant les zones réactives à la surface des particules. Au contraire, le revêtement actif d'anthraquinone réduit a contribué aux réactions redox et a généré des ROS, même lorsque la production de ROS par oxydation des Ag NP avec l'oxygène a été désactivé. Les objectifs associés comprennent le développement de la méthodologie et des études de cas spécifique aux ROS. Etant donné que la capacité des NP à générer des ROS contribue grandement à la nanotoxicité, nous avons tenté de définir un standard pour l'utilisation de 27- dichlorodihydrofluorescine (DCFH) adapté pour caractériser la génération de ROS par les NP. Des etudes antérieures ont rapporté une grande variété de résultats différents, ce qui était dû à un contrôle insuffisant des plusieurs facteurs. Nous avons donc comparé les produits chimiques et les concentrations utilisés, exploré les moyens de dispersion des échantillons HP en solution liquide, investigué les sources de conflits identifiées dans les littératures et étudié les moyens de réduire les résultats artificiels. De très bon résultats ont été obtenus par sonication d'une quantité optimale d'échantillons de NP en solution dans du DCFH-HRP, fait de 5 nM de DCFH et de 0,5 unité/ml de Peroxydase de raifort (HRP). Notre étude a démontré que les principales raisons causant les conflits entre les études précédemment conduites dans la littérature étaient dues aux différentes approches expérimentales et à des artefacts potentiels dus à des concentrations élevées de NP dans les échantillons. Utilisant notre protocole DCFH avancé avec d'autres caractérisations physico-chimiques et analyses biologiques, nous avons mené plusieurs études de cas, caractérisant les échantillons d'aérosols et les NP. La vielle poussière de frein en particulier présente un risque élevé d'exposition dans les scénarios professionnels, avec des effets potentiels néfastes sur la santé. Nous avons effectué des analyses d'éléments et de microscopie ainsi que la mesure de ROS avec DCFH cellulaire et acellulaire. Les résultats de MET ont révélé que les échantillons se présentent sous la forme de mélanges de particules hétérogènes, desquels une faible proportion se trouve dans l'échelle nano. Des éléments métalliques et non métalliques ont été identifiés, principalement du fer, du carbone et de l'oxygène. Une quantité modérée de ROS a été détectée dans le test fluorescent acellulaire; cependant les cellules exposées n'ont pas été très fortement activées. La raison pour laquelle les échantillons de vielle poussière de frein causent un stress oxydatif inférieur par rapport à la poussière de frein nouvelle peut-être à cause de leur plus grande taille engendrant une surface réactive proportionnellement plus petite, ainsi que leur état d'oxydation avancé diminuant la réactivité. D'autres études de cas sur les fumées de soudage et sur des NP différemment chargées ont confirmé la performance de notre test DCFH et ont trouvé que la génération de ROS est liée à certaines caractéristiques, notamment la fonctionnalité de surface des échantillons.

Capital Controls with International Reserve Accumulation: Can this Be Optimal ?

Motivated by the Chinese experience, we analyze a semi-open economy where the central bank has access to international capital markets, but the private sector has not. This enables the central bank to choose an interest rate different from the international rate. We examine the optimal policy of the central bank by modelling it as a Ramsey planner who can choose the level of domestic public debt and of international reserves. The central bank can improve savings opportunities of credit-constrained consumers modelled as in Woodford (1990). We find that in a steady state it is optimal for the central bank to replicate the open economy, i.e., to issue debt financed by the accumulation of reserves so that the domestic interest rate equals the foreign rate. When the economy is in transition, however, a rapidly growing economy has a higher welfare without capital mobility and the optimal interest rate differs from the international rate. We argue that the domestic interest rate should be temporarily above the international rate. We also find that capital controls can still help reach the first best when the planner has more fiscal instruments.