A test method for analysing disturbed ethernet data streams

Ethernet connections, which are widely used in many computer networks, can suffer from electromagnetic interference. Typically, a degradation of the data transmission rate can be perceived as electromagnetic disturbances lead to corruption of data frames on the network media. In this paper a software-based measuring method is presented, which allows a direct assessment of the effects on the link layer. The results can directly be linked to the physical interaction without the influence of software related effects on higher protocol layers. This gives a simple tool for a quantitative analysis of the disturbance of an Ethernet connection based on time domain data. An example is shown, how the data can be used for further investigation of mechanisms and detection of intentional electromagnetic attacks. © 2015 Author(s).

Small-plasmid-mediated antibiotic resistance is enhanced by increases in plasmid copy number and bacterial fitness

Plasmids play a key role in the horizontal spread of antibiotic resistance determinants among bacterial pathogens. When an antibiotic resistance plasmid arrives in a new bacterial host, it produces a fitness cost, causing a competitive disadvantage for the plasmid-bearing bacterium in the absence of antibiotics. On the other hand, in the presence of antibiotics, the plasmid promotes the survival of the clone. The adaptations experienced by plasmid and bacterium in the presence of antibiotics during the first generations of coexistence will be crucial for the progress of the infection and the maintenance of plasmid-mediated resistance once the treatment is over. Here we developed a model system using the human pathogen Haemophilus influenzae carrying the small plasmid pB1000 conferring resistance to β-lactam antibiotics to investigate host and plasmid adaptations in the course of a simulated ampicillin therapy. Our results proved that plasmid-bearing clones compensated for the fitness disadvantage during the first 100 generations of plasmid-host adaptation. In addition, ampicillin treatment was associated with an increase in pB1000 copy number. The augmentation in both bacterial fitness and plasmid copy number gave rise to H. influenzae populations with higher ampicillin resistance levels. In conclusion, we show here that the modulations in bacterial fitness and plasmid copy number help a plasmid-bearing bacterium to adapt during antibiotic therapy, promoting both the survival of the host and the spread of the plasmid.

Data, Software, and Advanced Computational Usage of University of Washington Research Leaders

Scientific research is increasingly data-intensive, relying more and more upon advanced computational resources to be able to answer the questions most pressing to our society at large. This report presents findings from a brief descriptive survey sent to a sample of 342 leading researchers at the University of Washington (UW), Seattle, Washington in 2010 and 2011 as the first stage of the larger National Science Foundation project “Interacting with Cyberinfrastructure in the Face of Changing Science.” This survey assesses these researcher’s use of advanced computational resources, data, and software in their research. We present high-level findings that describe UW researchers’: demographics, interdisciplinarity, research groups, data use, software and computational use—including software development and use, data storage and transfer activities, and collaboration tools, and computing resources. These findings offer insights into the state of computational resources in use during this time period as well as offering a look at the data intensiveness of UW researchers.

Computer vision in aseptic pharmaceutical manufacturing: a deep learning-based approach to vial inspection and pack formation during a lyophilizer loading cycle

Vision systems are powerful tools playing an increasingly important role in modern industry, to detect errors and maintain product standards. With the enlarged availability of affordable industrial cameras, computer vision algorithms have been increasingly applied in industrial manufacturing processes monitoring. Until a few years ago, industrial computer vision applications relied only on ad-hoc algorithms designed for the specific object and acquisition setup being monitored, with a strong focus on co-designing the acquisition and processing pipeline. Deep learning has overcome these limits providing greater flexibility and faster re-configuration. In this work, the process to be inspected consists in vials’ pack formation entering a freeze-dryer, which is a common scenario in pharmaceutical active ingredient packaging lines. To ensure that the machine produces proper packs, a vision system is installed at the entrance of the freeze-dryer to detect eventual anomalies with execution times compatible with the production specifications. Other constraints come from sterility and safety standards required in pharmaceutical manufacturing. This work presents an overview about the production line, with particular focus on the vision system designed, and about all trials conducted to obtain the final performance. Transfer learning, alleviating the requirement for a large number of training data, combined with data augmentation methods, consisting in the generation of synthetic images, were used to effectively increase the performances while reducing the cost of data acquisition and annotation. The proposed vision algorithm is composed by two main subtasks, designed respectively to vials counting and discrepancy detection. The first one was trained on more than 23k vials (about 300 images) and tested on 5k more (about 75 images), whereas 60 training images and 52 testing images were used for the second one.

Hierarchical Multi-Label Text Classification in a Low-Resource Setting

In this thesis we address a multi-label hierarchical text classification problem in a low-resource setting and explore different approaches to identify the best one for our case. The goal is to train a model that classifies English school exercises according to a hierarchical taxonomy with few labeled data. The experiments made in this work employ different machine learning models and text representation techniques: CatBoost with tf-idf features, classifiers based on pre-trained models (mBERT, LASER), and SetFit, a framework for few-shot text classification. SetFit proved to be the most promising approach, achieving better performance when during training only a few labeled examples per class are available. However, this thesis does not consider all the hierarchical taxonomy, but only the first two levels: to address classification with the classes at the third level further experiments should be carried out, exploring methods for zero-shot text classification, data augmentation, and strategies to exploit the hierarchical structure of the taxonomy during training.

A eficiência energética nas redes de telecomunicações e tecnologias de informação e comunicação

A presente tese pretende fazer uma abordagem ao crescimento dos consumos de energia elétrica, que se tem verificado, nos últimos anos, no setor das telecomunicações e das tecnologias de informação; devido ao constante crescimento das redes, dos equipamentos a ela ligados e do tráfego que nelas transita. Num contexto de globalização da economia, no qual, as redes de telecomunicações e de energia elétrica são dois dos maiores contribuintes, a presente tese procura encontrar enquadramentos e soluções para um dos maiores desafios que a humanidade enfrenta atualmente, e que em parte, é consequente dessa globalização: encontrar novas fontes e formas de utilização da energia, -particularmente da energia elétrica - para que a humanidade continue a usufruir, de uma forma sustentável, dos benefícios que a mesma proporciona. Na primeira parte, procura-se fazer uma abordagem que utiliza fontes de informação e conhecimento, do mercado global, nomeadamente, entidades reguladoras e normalizadoras, operadores, fornecedores de tecnologias e consumidores, que abrangessem os três maiores mercados mundiais – União Europeia, Estados Unidos da América e Ásia-Pacífico. Considerou-se fundamental fazê-lo, por se tratar de uma dissertação no âmbito de um Mestrado com o selo de garantia EUR-ACE. Ao longo da dissertação analisou-se a temática da eficiência energética nas redes de telecomunicações e das tecnologias de informação e comunicação, um tema cada vez mais pertinente, já que o número de pessoas com ligações à Internet, já supera os 3 mil milhões, e as redes passaram a ser o meio por onde são transmitidos, a cada segundo, terabytes de sinais de voz, dados e vídeo. Procurou-se encontrar as linhas de orientação que estão a ser traçadas, para otimizar os consumos energéticos, de um complexo sistema convergente de redes e serviços, formado por entidades reguladoras e normalizadoras, operadores, fornecedores de tecnologias e consumidores, onde nem sempre as fronteiras estão perfeitamente definidas. Perante a constatação da realidade exposta, analisou-se as políticas energéticas desenvolvidas nos últimos anos, pelos vários players do mercado das telecomunicações, das tecnologias de informação e dos sistemas elétricos de energia bem como algumas métricas e objetivos comumente aceites. viii São analisados os contributos das partes interessadas, para o desenvolvimento de políticas energéticas eficazes, por forma a permitirem uma implementação, que considere o funcionamento dos equipamentos como um todo, e não de uma forma isolada como tradicionalmente o assunto era abordado. As especificidades na forma como funcionam as redes de telecomunicações e respetivos equipamentos, são expostas sobre várias óticas, comprovando-se que a temática da eficiência energética é uma das áreas mais difíceis lidar, de todas as consideradas nas políticas energéticas. Demonstrou-se que muitos dos equipamentos não estão otimizados em termos de gestão de energia, procurou-se evidenciar as consequências dessa realidade, uma vez que os equipamentos referidos, têm a necessidade de estar permanentemente a ser alimentados pela rede de energia elétrica, para garantir as funções para que foram projetados. Da pesquisa efetuada e descrita ao longo da dissertação, constatamos o empenho de toda a comunidade científica, operadores e agências de energia e de telecomunicações, em resolver o problema, já que há a consciencialização de que o ritmo de crescimento da rede e equipamentos terminais, é superior ao registado na melhoria da eficiência energética dos vários componentes e equipamentos terminais. Na segunda parte do relatório da tese, procurou-se testar a aplicabilidade das normas e recomendações dos organismos que tutelam a atividade a nível global - algumas publicadas nos últimos 2 anos - a um caso prático. Um edifício hospitalar de média dimensão. Foi elaborada uma aplicação informática, que suportada numa metodologia padronizada, seja capaz de fazer a avaliação da eficiência energética dos equipamentos serviços de telecomunicações de informação e comunicação em funcionamento do hospital. Por dificuldades de disponibilidade dos responsáveis do edifício, os resultados ficaram aquém do esperado. Conseguiu-se desenhar a aplicação, inventariar-se apenas parte dos equipamentos. Demonstrou-se que, a forma como alguns equipamentos estão a ser utilizados, não cumprem regras de utilização racional e eficiente. Procurou-se sensibilizar alguns dos responsáveis, para a necessidade de alterar comportamentos e prosseguir o processo de inventariação, por forma, a que o trabalho iniciado atinja os objetivos propostos.

Results of An International Study of Quantitative BCR/ABL Assays Using Defined RNA Samples

Molecular monitoring of BCR/ABL transcripts by real time quantitative reverse transcription PCR (qRT-PCR) is an essential technique for clinical management of patients with BCR/ABL-positive CML and ALL. Though quantitative BCR/ABL assays are performed in hundreds of laboratories worldwide, results among these laboratories cannot be reliably compared due to heterogeneity in test methods, data analysis, reporting, and lack of quantitative standards. Recent efforts towards standardization have been limited in scope. Aliquots of RNA were sent to clinical test centers worldwide in order to evaluate methods and reporting for e1a2, b2a2, and b3a2 transcript levels using their own qRT-PCR assays. Total RNA was isolated from tissue culture cells that expressed each of the different BCR/ABL transcripts. Serial log dilutions were prepared, ranging from 100 to 10-5, in RNA isolated from HL60 cells. Laboratories performed 5 independent qRT-PCR reactions for each sample type at each dilution. In addition, 15 qRT-PCR reactions of the 10-3 b3a2 RNA dilution were run to assess reproducibility within and between laboratories. Participants were asked to run the samples following their standard protocols and to report cycle threshold (Ct), quantitative values for BCR/ABL and housekeeping genes, and ratios of BCR/ABL to housekeeping genes for each sample RNA. Thirty-seven (n=37) participants have submitted qRT-PCR results for analysis (36, 37, and 34 labs generated data for b2a2, b3a2, and e1a2, respectively). The limit of detection for this study was defined as the lowest dilution that a Ct value could be detected for all 5 replicates. For b2a2, 15, 16, 4, and 1 lab(s) showed a limit of detection at the 10-5, 10-4, 10-3, and 10-2 dilutions, respectively. For b3a2, 20, 13, and 4 labs showed a limit of detection at the 10-5, 10-4, and 10-3 dilutions, respectively. For e1a2, 10, 21, 2, and 1 lab(s) showed a limit of detection at the 10-5, 10-4, 10-3, and 10-2 dilutions, respectively. Log %BCR/ABL ratio values provided a method for comparing results between the different laboratories for each BCR/ABL dilution series. Linear regression analysis revealed concordance among the majority of participant data over the 10-1 to 10-4 dilutions. The overall slope values showed comparable results among the majority of b2a2 (mean=0.939; median=0.9627; range (0.399 - 1.1872)), b3a2 (mean=0.925; median=0.922; range (0.625 - 1.140)), and e1a2 (mean=0.897; median=0.909; range (0.5174 - 1.138)) laboratory results (Fig. 1-3)). Thirty-four (n=34) out of the 37 laboratories reported Ct values for all 15 replicates and only those with a complete data set were included in the inter-lab calculations. Eleven laboratories either did not report their copy number data or used other reporting units such as nanograms or cell numbers; therefore, only 26 laboratories were included in the overall analysis of copy numbers. The median copy number was 348.4, with a range from 15.6 to 547,000 copies (approximately a 4.5 log difference); the median intra-lab %CV was 19.2% with a range from 4.2% to 82.6%. While our international performance evaluation using serially diluted RNA samples has reinforced the fact that heterogeneity exists among clinical laboratories, it has also demonstrated that performance within a laboratory is overall very consistent. Accordingly, the availability of defined BCR/ABL RNAs may facilitate the validation of all phases of quantitative BCR/ABL analysis and may be extremely useful as a tool for monitoring assay performance. Ongoing analyses of these materials, along with the development of additional control materials, may solidify consensus around their application in routine laboratory testing and possible integration in worldwide efforts to standardize quantitative BCR/ABL testing.

Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes

We present a heuristic method for learning error correcting output codes matrices based on a hierarchical partition of the class space that maximizes a discriminative criterion. To achieve this goal, the optimal codeword separation is sacrificed in favor of a maximum class discrimination in the partitions. The creation of the hierarchical partition set is performed using a binary tree. As a result, a compact matrix with high discrimination power is obtained. Our method is validated using the UCI database and applied to a real problem, the classification of traffic sign images.

Mynodbcsv: Lightweight Zero-Config Database Solution for Handling Very Large CSV Files.

Volumes of data used in science and industry are growing rapidly. When researchers face the challenge of analyzing them, their format is often the first obstacle. Lack of standardized ways of exploring different data layouts requires an effort each time to solve the problem from scratch. Possibility to access data in a rich, uniform manner, e.g. using Structured Query Language (SQL) would offer expressiveness and user-friendliness. Comma-separated values (CSV) are one of the most common data storage formats. Despite its simplicity, with growing file size handling it becomes non-trivial. Importing CSVs into existing databases is time-consuming and troublesome, or even impossible if its horizontal dimension reaches thousands of columns. Most databases are optimized for handling large number of rows rather than columns, therefore, performance for datasets with non-typical layouts is often unacceptable. Other challenges include schema creation, updates and repeated data imports. To address the above-mentioned problems, I present a system for accessing very large CSV-based datasets by means of SQL. It's characterized by: "no copy" approach - data stay mostly in the CSV files; "zero configuration" - no need to specify database schema; written in C++, with boost [1], SQLite [2] and Qt [3], doesn't require installation and has very small size; query rewriting, dynamic creation of indices for appropriate columns and static data retrieval directly from CSV files ensure efficient plan execution; effortless support for millions of columns; due to per-value typing, using mixed text/numbers data is easy; very simple network protocol provides efficient interface for MATLAB and reduces implementation time for other languages. The software is available as freeware along with educational videos on its website [4]. It doesn't need any prerequisites to run, as all of the libraries are included in the distribution package. I test it against existing database solutions using a battery of benchmarks and discuss the results.

Perception and Interpretation of Advance Warning Signs on County Roads, HR-256, 1984

This research consisted of five laboratory experiments designed to address the following two objectives in an integrated analysis: (1) To discriminate between the symbol Stop Ahead warning sign and a small set of other signs (which included the word-legend Stop Ahead sign); and (2) To analyze sign detection, recognizability, and processing characteristics by drivers. A set of 16 signs was used in each of three experiments. A tachistoscope was used to display each sign image to a respondent for a brief interval in a controlled viewing experiment. The first experiment was designed to test detection of a sign in the driver's visual field; the second experiment was designed to test the driver's ability to recognize a given sign in the visual field; and the third experiment was designed to test the speed and accuracy of a driver's response to each sign as a command to perform a driving action. A fourth experiment tested the meanings drivers associated with an eight-sign subset of the 16 signs used in the first three experiments. A fifth experiment required all persons to select which (if any) signs they considered to be appropriate for use on two scale model county road intersections. The conclusions are that word-legend Stop Ahead signs are more effective driver communication devices than symbol stop-ahead signs; that it is helpful to drivers to have a word plate supplementing the symbol sign if a symbol sign is used; and that the guidance in the Manual on Uniform Traffic Control Devices on the placement of advance warning signs should not supplant engineering judgment in providing proper sign communication at an intersection.

Results of An International Study of Quantitative BCR/ABL Assays Using Defined RNA Samples

Molecular monitoring of BCR/ABL transcripts by real time quantitative reverse transcription PCR (qRT-PCR) is an essential technique for clinical management of patients with BCR/ABL-positive CML and ALL. Though quantitative BCR/ABL assays are performed in hundreds of laboratories worldwide, results among these laboratories cannot be reliably compared due to heterogeneity in test methods, data analysis, reporting, and lack of quantitative standards. Recent efforts towards standardization have been limited in scope. Aliquots of RNA were sent to clinical test centers worldwide in order to evaluate methods and reporting for e1a2, b2a2, and b3a2 transcript levels using their own qRT-PCR assays. Total RNA was isolated from tissue culture cells that expressed each of the different BCR/ABL transcripts. Serial log dilutions were prepared, ranging from 100 to 10-5, in RNA isolated from HL60 cells. Laboratories performed 5 independent qRT-PCR reactions for each sample type at each dilution. In addition, 15 qRT-PCR reactions of the 10-3 b3a2 RNA dilution were run to assess reproducibility within and between laboratories. Participants were asked to run the samples following their standard protocols and to report cycle threshold (Ct), quantitative values for BCR/ABL and housekeeping genes, and ratios of BCR/ABL to housekeeping genes for each sample RNA. Thirty-seven (n=37) participants have submitted qRT-PCR results for analysis (36, 37, and 34 labs generated data for b2a2, b3a2, and e1a2, respectively). The limit of detection for this study was defined as the lowest dilution that a Ct value could be detected for all 5 replicates. For b2a2, 15, 16, 4, and 1 lab(s) showed a limit of detection at the 10-5, 10-4, 10-3, and 10-2 dilutions, respectively. For b3a2, 20, 13, and 4 labs showed a limit of detection at the 10-5, 10-4, and 10-3 dilutions, respectively. For e1a2, 10, 21, 2, and 1 lab(s) showed a limit of detection at the 10-5, 10-4, 10-3, and 10-2 dilutions, respectively. Log %BCR/ABL ratio values provided a method for comparing results between the different laboratories for each BCR/ABL dilution series. Linear regression analysis revealed concordance among the majority of participant data over the 10-1 to 10-4 dilutions. The overall slope values showed comparable results among the majority of b2a2 (mean=0.939; median=0.9627; range (0.399 - 1.1872)), b3a2 (mean=0.925; median=0.922; range (0.625 - 1.140)), and e1a2 (mean=0.897; median=0.909; range (0.5174 - 1.138)) laboratory results (Fig. 1-3)). Thirty-four (n=34) out of the 37 laboratories reported Ct values for all 15 replicates and only those with a complete data set were included in the inter-lab calculations. Eleven laboratories either did not report their copy number data or used other reporting units such as nanograms or cell numbers; therefore, only 26 laboratories were included in the overall analysis of copy numbers. The median copy number was 348.4, with a range from 15.6 to 547,000 copies (approximately a 4.5 log difference); the median intra-lab %CV was 19.2% with a range from 4.2% to 82.6%. While our international performance evaluation using serially diluted RNA samples has reinforced the fact that heterogeneity exists among clinical laboratories, it has also demonstrated that performance within a laboratory is overall very consistent. Accordingly, the availability of defined BCR/ABL RNAs may facilitate the validation of all phases of quantitative BCR/ABL analysis and may be extremely useful as a tool for monitoring assay performance. Ongoing analyses of these materials, along with the development of additional control materials, may solidify consensus around their application in routine laboratory testing and possible integration in worldwide efforts to standardize quantitative BCR/ABL testing.

Sähkökoneiden etädiagnostiikan kenttätason tiedonsiirtotarpeen arviointi ja instrumentoinnin kehittäminen

Tässä diplomityössä tarkastellaan sähkökoneiden tyypillisiä vikoja ja joitain näiden havaitsemiseen käytettäviä mittauksia ja analyysejä; mittausten tuottamaa tietomäärää arvioidaan. Muutamia teollisuuslaitoksissa käytettyjä väyliä ja tiedonsiirtoprotokollia esitellään, ja analysoidaan kunnonvalvonnan mittauksien siirtämisen näillä väylillä vaatimaa väylän datansiirtonopeutta. Valvottavien sähkökoneiden määrän ylärajaa arvioidaan kunkin väylän/protokollan tapauksessa. Työssä esitellään ratkaisuja sähkökoneiden etädiagnostiikan tiedonsiirron toteuttamiseksi ja arvioidaan valvottavien sähkökoneiden määrän ylärajaa kussakin tapauksessa. Lisäksi työssä suunnitellaan ja toteutetaan kunnonvalvonnan mitta-antureiden kanssa käytettävä mittaustiedon keräily-yksikkö. Keräily-yksikön sisältävä kunnonvalvonnan ja etädiagnostiikan tiedonkeruu- ja tiedonsiirtojärjestelmä asennetaan kahteen pilot-kohteeseen: sellutehtaalle ja pienvesivoimalaan.

Síntese e atividade antiedematogênica de derivados N-triptofil-5-benzilideno-2,4-tiazolidinadiona e N-triptofil-5-benzilideno-rodanina

Derivatives of N-tryptophyl-5-benzylidene-2,4-thiazolidinedione (7a-c) and N-tryptophyl-5-benzylidene-rhodanine (7d-f) were prepared by condensation of the intermediates 5 and 6 with different benzaldehydes, respectively. Their structural elucidation was carried through by IR, ¹H NMR and MS. The acute toxicity and antiedematogenic activity of the compounds 7b,c and 7e,f were evaluated. The data did not reveal any sign of toxicity, and no mortality was registered. As indomethacin (10 mg/kg; v.o.), the antiedematogenic activity of the compounds 7b (50 mg/kg; v.o.) and 7e, 7f (50 or 100 mg/kg; v.o.) against carrageenan-induced paw edema was verified at time intervals of 180 min.

Interaktiivisen asiakasrajapinnan mahdollistamat energiatehokkuutta tukevat toiminnot ja niiden kannattavuus

Automaattisen mittarinluvun yleistyminen ja asiakkaan verkkoliitynnässä käytettävän tekniikan kehittyminen luovat pohjan uudentyyppisen interaktiivisen asiakasrajanpinnan synnylle. Se voi osaltaan mahdollistaa asiakkaan entistä joustavamman sähköverkkoon liitynnän sekä nykyistä reaaliaikaisemmat ja tarkemmat mittaukset. Näiden pohjalle on mahdollista kehittää erilaisia energiatehokkuutta tukevia toimintoja ja niihin perustuvia palveluita. Tämän työn tarkoituksena on tutkia interaktiivisen asiakasrajapinnan mahdollistamia energiatehokkuutta tukevia toimintoja. Lupaavimpia toimintoja, niiden kannattavuutta ja potentiaalia energiatehokkuuden parantamisessa analysoidaan tarkemmin. Lisäksi tarkastellaan niihin tarvittavaa tekniikkaa, mittaustietoja ja tiedonsiirtoa. Nykyinen tekniikka mahdollistaa useiden erilaisten energiatehokkuutta tukevien toimintojen toteuttamisen. Tässä työssä käsiteltiin tarkemmin energiayhtiön AMR-pohjaista tasehallintaa ja sähkön pienkuluttajien hintaohjausta. AMR-pohjaisen tasehallinnan havaittiin olevan oikein kohdennettuna kannattavaa. Sähkön hintaohjaus voi laajassa mittakaavassa toteutettuna olla kannattavaa, mutta yksittäiskohteissa sen toteutuksen kustannukset ovat liian suuret. Suurimpia ongelmia energiatehokkuutta tukevien toimintojen toteutuksen kannalta muodostavat usein kiinteät kustannukset sekä yleisten rajapin-tavaatimusten ja toimintamallien puute. Tuotteiden standardointi, sarjatuotanto sekä tekniikan kehittyminen voivat mahdollistaa kiinteiden kustannusten huomattavan pienenemisen ja tätä kautta toimintojen kustannustehokkuuden paranemisen. Kehittämällä uusia yhteisiä toimintamalleja ja tuotteita voidaan käytettävissä olevaa tekniikkaa hyödyntää tehokkaammin. Myös uudet näköpiirissä olevat nopeammat ja luotettavammat tiedonsiirtotekniikat voivat mahdollistaa reaaliaikaisemmat mittaustietojen ja signaalien välitykset, mikä usein parantaa toimintojen tehokkuutta ja kannattavuutta.

Advances in therapeutic risk management through signal detection and risk minimisation tool analyses

Les quatre principales activités de la gestion de risque thérapeutique comportent l’identification, l’évaluation, la minimisation, et la communication du risque. Ce mémoire aborde les problématiques liées à l’identification et à la minimisation du risque par la réalisation de deux études dont les objectifs sont de: 1) Développer et valider un outil de « data mining » pour la détection des signaux à partir des banques de données de soins de santé du Québec; 2) Effectuer une revue systématique afin de caractériser les interventions de minimisation de risque (IMR) ayant été implantées. L’outil de détection de signaux repose sur la méthode analytique du quotient séquentiel de probabilité (MaxSPRT) en utilisant des données de médicaments délivrés et de soins médicaux recueillis dans une cohorte rétrospective de 87 389 personnes âgées vivant à domicile et membres du régime d’assurance maladie du Québec entre les années 2000 et 2009. Quatre associations « médicament-événement indésirable (EI) » connues et deux contrôles « négatifs » ont été utilisés. La revue systématique a été faite à partir d’une revue de la littérature ainsi que des sites web de six principales agences réglementaires. La nature des RMIs ont été décrites et des lacunes de leur implémentation ont été soulevées. La méthode analytique a mené à la détection de signaux dans l'une des quatre combinaisons médicament-EI. Les principales contributions sont: a) Le premier outil de détection de signaux à partir des banques de données administratives canadiennes; b) Contributions méthodologiques par la prise en compte de l'effet de déplétion des sujets à risque et le contrôle pour l'état de santé du patient. La revue a identifié 119 IMRs dans la littérature et 1,112 IMRs dans les sites web des agences réglementaires. La revue a démontré qu’il existe une augmentation des IMRs depuis l’introduction des guides réglementaires en 2005 mais leur efficacité demeure peu démontrée.