Análise dos aspectos legais das prescrições de medicamentos

This article describes a survey of prescriptions dispensed in drugstores and pharmacies in the city of Araraquara in the state of São Paulo, Brazil, in May 2006. Their contents were assessed for compliance with the laws in force on drug prescription and dispensing. A total of 1,335 prescriptions were examined: 40 (3%) were unsigned, 212 (15.9%) did not contain the prescribing physician's stamp, 170 (12.7%) were undated. There were prescriptions containing corrections (4.6%), and written in code (4.4%). Only 58.8% were legible and easy to understand; nevertheless all of them were dispensed. Some did not specify the name of the patient (7.2%). On how to use the medication prescribed, not a single prescription contained all the information required by law. Specifically, 7.6% lacked information on dosage, 54.3% on presentation, 33.6% on how to take the drug, and 51.2% on duration of treatment. The data show a general failure to comply with the laws on drug prescription and dispensing. Incomplete information on the drugs and their correct use could lead to irrational use and errors in medication. The lack of prescribers' signature and stamp, date of emission and name of patient can lead to fraudulent and counterfeit prescriptions. Thus, the data found point to the need for capacitation of prescribing and dispensing professionals and the importance of the role of professional associations in guiding their members.

Desenvolvimento de metodologia analítica ambientalmente mais amigável para a determinação de ureía em atrizes diversas

Pós-graduação em Química - IQ

Métodos analíticos para a identificação de espécies animais

The food industry has been rapidly modernized, and with this the disposal and the consumption of industrialized food has been increasing continually. These products lose their original morphological characteristics, requiring fast and reliable tests that could help to identify the species in question, as most fraudulent behavior in the milk and dairy industry (meat and fish) is carried out where there is partial or total exchange of the original material for other with less value at market. Nowadays there is a lot of techniques that can be used for the identification of animal species, based on muscle protein, or DNA analysis. In the case of protein based analysis, we can mention several types of electrophoresis and immunologic methods, as ELISA. In the case of DNA based methods, we have several assays that use the amplification of DNA fragments, known as PCR, as proof. All these techniques have advantages and disadvantages that can be affected by factors- the sample condition, or the degree of relation between the species in question. Because of this, it’s necessary that a continuous study looking for the improvement of the available techniques, making sure that the confirmation of food authenticity is in place. This is to ensure the true product value, to comply with labeling regulationand and protect the consumer of frauds

Análises microbiológicas e quantificação de proteína de soja pela metodologia isotípica (δ13C and δ15N) em hambúrgueres bovinos de marcas comerciais brasileiras

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Bagging k-dependence probabilistic networks: An alternative powerful fraud detection tool

Fraud is a global problem that has required more attention due to an accentuated expansion of modern technology and communication. When statistical techniques are used to detect fraud, whether a fraud detection model is accurate enough in order to provide correct classification of the case as a fraudulent or legitimate is a critical factor. In this context, the concept of bootstrap aggregating (bagging) arises. The basic idea is to generate multiple classifiers by obtaining the predicted values from the adjusted models to several replicated datasets and then combining them into a single predictive classification in order to improve the classification accuracy. In this paper, for the first time, we aim to present a pioneer study of the performance of the discrete and continuous k-dependence probabilistic networks within the context of bagging predictors classification. Via a large simulation study and various real datasets, we discovered that the probabilistic networks are a strong modeling option with high predictive capacity and with a high increment using the bagging procedure when compared to traditional techniques. (C) 2012 Elsevier Ltd. All rights reserved.

Securities: Its Conception and Protection of Interests of its Holders

Theoretical studies of the problems of the securities markets in the Russian Federation incline to one or other of the two traditional approaches. The first consists of comparing the definition of "valuable paper" set forth in the current legislation of the Russian Federation, with the theoretical model of "Wertpapiere" elaborated by German scholars more than 90 years ago. The problem with this approach is, in Mr. Pentsov's opinion, that any new features of the definition of "security" that do not coincide with the theoretical model of "Wertpapiere" (such as valuable papers existing in non-material, electronic form) are claimed to be incorrect and removed from the current legislation of the Russian Federation. The second approach works on the basis of the differentiation between the Common Law concept of "security" and the Civil Law concept of "valuable paper". Mr. Pentsov's research, presented in an article written in English, uses both methodological tools and involves, firstly, a historical study of the origin and development of certain legal phenomena (securities) as they evolved in different countries, and secondly, a comparative, synchronic study of equivalent legal phenomena as they exist in different countries today. Employing the first method, Mr. Pentsov divided the historical development of the conception of "valuable paper" in Russia into five major stages. He found that, despite the existence of a relatively wide circulation of valuable papers, especially in the second half of the 19th century, Russian legislation before 1917 (the first stage) did not have a unified definition of valuable paper. The term was used, in both theoretical studies and legislation, but it covered a broad range of financial instruments such as stocks, bonds, government bonds, promissory notes, bills of exchange, etc. During the second stage, also, the legislation of the USSR did not have a unified definition of "valuable paper". After the end of the "new economic policy" (1922 - 1930) the stock exchanges and the securities markets in the USSR, with a very few exceptions, were abolished. And thus during the third stage (up to 1985), the use of valuable papers in practice was reduced to foreign economic relations (bills of exchange, stocks in enterprises outside the USSR) and to state bonds. Not surprisingly, there was still no unified definition of "valuable paper". After the beginning of Gorbachev's perestroika, a securities market began to re-appear in the USSR. However, the successful development of securities markets in the USSR was retarded by the absence of an appropriate regulatory framework. The first effort to improve the situation was the adoption of the Regulations on Valuable Papers, approved by resolution No. 590 of the Council of Ministers of the USSR, dated June 19, 1990. Section 1 of the Regulation contained the first statutory definition of "valuable paper" in the history of Russia. At the very beginning of the period of transition to a market economy, a number of acts contained different definitions of "valuable paper". This diversity clearly undermined the stability of the Russian securities market and did not achieve the goal of protecting the investor. The lack of unified criteria for the consideration of such non-standard financial instruments as "valuable papers" significantly contributed to the appearance of numerous fraudulent "pyramid" schemes that were outside of the regulatory scheme of Russia legislation. The situation was substantially improved by the adoption of the new Civil Code of the Russian Federation. According to Section 1 of Article 142 of the Civil Code, a valuable paper is a document that confirms, in compliance with an established form and mandatory requisites, certain material rights whose realisation or transfer are possible only in the process of its presentation. Finally, the recent Federal law No. 39 - FZ "On the Valuable Papers Market", dated April 22 1996, has also introduced the term "emission valuable papers". According to Article 2 of this Law, an "emission valuable paper" is any valuable paper, including non-documentary, that simultaneously has the following features: it fixes the composition of material and non-material rights that are subject to confirmation, cession and unconditional realisation in compliance with the form and procedure established by this federal law; it is placed by issues; and it has equal amount and time of realisation of rights within the same issue regardless of when the valuable paper was purchased. Thus the introduction of the conception of "emission valuable paper" became the starting point in the Russian federation's legislation for the differentiation between the legal regimes of "commercial papers" and "investment papers" similar to the Common Law approach. Moving now to the synchronic, comparative method of research, Mr. Pentsov notes that there are currently three major conceptions of "security" and, correspondingly, three approaches to its legal definition: the Common Law concept, the continental law concept, and the concept employed by Japanese Law. Mr. Pentsov proceeds to analyse the differences and similarities of all three, concluding that though the concept of "security" in the Common Law system substantially differs from that of "valuable paper" in the Continental Law system, nevertheless the two concepts are developing in similar directions. He predicts that in the foreseeable future the existing differences between these two concepts will become less and less significant. On the basis of his research, Mr. Pentsov arrived at the conclusion that the concept of "security" (and its equivalents) is not a static one. On the contrary, it is in the process of permanent evolution that reflects the introduction of new financial instruments onto the capital markets. He believes that the scope of the statutory definition of "security" plays an extremely important role in the protection of investors. While passing the Securities Act of 1933, the United States Congress determined that the best way to achieve the goal of protecting investors was to define the term "security" in sufficiently broad and general terms so as to include within the definition the many types of instruments that in the commercial world fall within the ordinary concept of "security' and to cover the countless and various devices used by those who seek to use the money of others on the promise of profits. On the other hand, the very limited scope of the current definition of "emission valuable paper" in the Federal Law of the Russian Federation entitled "On the Valuable Papers Market" does not allow the anti-fraud provisions of this law to be implemented in an efficient way. Consequently, there is no basis for the protection of investors. Mr. Pentsov proposes amendments which he believes would enable the Russian markets to become more efficient and attractive for both foreign and domestic investors.

La construción del fraude y los partidos políticos en la Argentina de los años treinta

En este trabajo se reconstruye la trayectoria del régimen fraudulento durante el gobierno de Agustín Justo (1932-1938). Las acciones coercitivas desplegadas por los caudillos durante la jornada electoral fueron su rasgo más evidente, pero la instrumentación del fraude tuvo alcances más profundos. A lo largo de esta experiencia, el ejercicio abierto de la coerción sobre el principal partido opositor y el avasallamiento de los derechos de la ciudadanía fueron acompañados por la reorganización del Estado en un sentido que quebró la relación de equilibrio entre los poderes a través de la subordinación del Poder Judicial y el Legislativo a las directivas del elenco gobernante. En este texto se identifican las prácticas y las decisiones desplegadas por los partidos políticos del campo opositor y del oficialista en relación con este proceso.

La construción del fraude y los partidos políticos en la Argentina de los años treinta

En este trabajo se reconstruye la trayectoria del régimen fraudulento durante el gobierno de Agustín Justo (1932-1938). Las acciones coercitivas desplegadas por los caudillos durante la jornada electoral fueron su rasgo más evidente, pero la instrumentación del fraude tuvo alcances más profundos. A lo largo de esta experiencia, el ejercicio abierto de la coerción sobre el principal partido opositor y el avasallamiento de los derechos de la ciudadanía fueron acompañados por la reorganización del Estado en un sentido que quebró la relación de equilibrio entre los poderes a través de la subordinación del Poder Judicial y el Legislativo a las directivas del elenco gobernante. En este texto se identifican las prácticas y las decisiones desplegadas por los partidos políticos del campo opositor y del oficialista en relación con este proceso.

La construción del fraude y los partidos políticos en la Argentina de los años treinta

En este trabajo se reconstruye la trayectoria del régimen fraudulento durante el gobierno de Agustín Justo (1932-1938). Las acciones coercitivas desplegadas por los caudillos durante la jornada electoral fueron su rasgo más evidente, pero la instrumentación del fraude tuvo alcances más profundos. A lo largo de esta experiencia, el ejercicio abierto de la coerción sobre el principal partido opositor y el avasallamiento de los derechos de la ciudadanía fueron acompañados por la reorganización del Estado en un sentido que quebró la relación de equilibrio entre los poderes a través de la subordinación del Poder Judicial y el Legislativo a las directivas del elenco gobernante. En este texto se identifican las prácticas y las decisiones desplegadas por los partidos políticos del campo opositor y del oficialista en relación con este proceso.

Intrusion-Resilient Integrity in Data-Centric Unattended WSNs

Unattended Wireless Sensor Networks (UWSNs) operate in autonomous or disconnected mode: sensed data is collected periodically by an itinerant sink. Between successive sink visits, sensor-collected data is subject to some unique vulnerabilities. In particular, while the network is unattended, a mobile adversary (capable of subverting up to a fraction of sensors at a time) can migrate between compromised sets of sensors and inject fraudulent data. In this paper, we provide two collaborative authentication techniques that allow an UWSN to maintain integrity and authenticity of sensor data-in the presence of a mobile adversary-until the next sink visit. Proposed schemes use simple, standard, and inexpensive symmetric cryptographic primitives, coupled with key evolution and few message exchanges. We study their security and effectiveness, both analytically and via simulations. We also assess their robustness and show how to achieve the desired trade-off between performance and security.

Discernment of bee pollen loads using computer vision and one-class classification techniques

In this paper, we propose a system for authenticating local bee pollen against fraudulent samples using image processing and classification techniques. Our system is based on the colour properties of bee pollen loads and the use of one-class classifiers to reject unknown pollen samples. The latter classification techniques allow us to tackle the major difficulty of the problem, the existence of many possible fraudulent pollen types. Also presented is a multi-classifier model with an ambiguity discovery process to fuse the output of the one-class classifiers. The method is validated by authenticating Spanish bee pollen types, the overall accuracy of the final system of being 94%. Therefore, the system is able to rapidly reject the non-local pollen samples with inexpensive hardware and without the need to send the product to the laboratory.

VOTESCRIPT: Telematic voting system designed to enable final count verification

In this paper we present a global description of a telematic voting system based on advanced cryptography and on the use of smart cards (VOTESCRIPT system) whose most outstanding characteristic is the ability to verify that the tally carried out by the system is correct, meaning that the results published by the system correspond with votes cast. The VOTESCRIPT system provides an individual verification mechanism allowing each Voter to confirm whether his vote has been correctly counted. The innovation with respect to other solutions lies in the fact that the verification process is private so that Voters have no way of proving what they voted in the presence of a non-authorized third party. Vote buying and selling or any other kind of extortion are prevented. The existence of the Intervention Systems allows the whole electoral process to be controlled by groups of citizens or authorized candidatures. In addition to this the system can simply make an audit not only of the final results, but also of the whole process. Global verification provides the Scrutineers with robust cryptographic evidence which enables unequivocal proof if the system has operated in a fraudulent way.

Plataforma de evaluación de algoritmos para la identificación de usuarios

La minería de datos es un campo de las ciencias de la computación referido al proceso que intenta descubrir patrones en grandes volúmenes de datos. La minería de datos busca generar información similar a la que podría producir un experto humano. Además es el proceso de descubrir conocimientos interesantes, como patrones, asociaciones, cambios, anomalías y estructuras significativas a partir de grandes cantidades de datos almacenadas en bases de datos, data warehouses o cualquier otro medio de almacenamiento de información. El aprendizaje automático o aprendizaje de máquinas es una rama de la Inteligencia artificial cuyo objetivo es desarrollar técnicas que permitan a las computadoras aprender. De forma más concreta, se trata de crear programas capaces de generalizar comportamientos a partir de una información no estructurada suministrada en forma de ejemplos. La minería de datos utiliza métodos de aprendizaje automático para descubrir y enumerar patrones presentes en los datos. En los últimos años se han aplicado las técnicas de clasificación y aprendizaje automático en un número elevado de ámbitos como el sanitario, comercial o de seguridad. Un ejemplo muy actual es la detección de comportamientos y transacciones fraudulentas en bancos. Una aplicación de interés es el uso de las técnicas desarrolladas para la detección de comportamientos fraudulentos en la identificación de usuarios existentes en el interior de entornos inteligentes sin necesidad de realizar un proceso de autenticación. Para comprobar que estas técnicas son efectivas durante la fase de análisis de una determinada solución, es necesario crear una plataforma que de soporte al desarrollo, validación y evaluación de algoritmos de aprendizaje y clasificación en los entornos de aplicación bajo estudio. El proyecto planteado está definido para la creación de una plataforma que permita evaluar algoritmos de aprendizaje automático como mecanismos de identificación en espacios inteligentes. Se estudiarán tanto los algoritmos propios de este tipo de técnicas como las plataformas actuales existentes para definir un conjunto de requisitos específicos de la plataforma a desarrollar. Tras el análisis se desarrollará parcialmente la plataforma. Tras el desarrollo se validará con pruebas de concepto y finalmente se verificará en un entorno de investigación a definir. ABSTRACT. The data mining is a field of the sciences of the computation referred to the process that it tries to discover patterns in big volumes of information. The data mining seeks to generate information similar to the one that a human expert might produce. In addition it is the process of discovering interesting knowledge, as patterns, associations, changes, abnormalities and significant structures from big quantities of information stored in databases, data warehouses or any other way of storage of information. The machine learning is a branch of the artificial Intelligence which aim is to develop technologies that they allow the computers to learn. More specifically, it is a question of creating programs capable of generalizing behaviors from not structured information supplied in the form of examples. The data mining uses methods of machine learning to discover and to enumerate present patterns in the information. In the last years there have been applied classification and machine learning techniques in a high number of areas such as healthcare, commercial or security. A very current example is the detection of behaviors and fraudulent transactions in banks. An application of interest is the use of the techniques developed for the detection of fraudulent behaviors in the identification of existing Users inside intelligent environments without need to realize a process of authentication. To verify these techniques are effective during the phase of analysis of a certain solution, it is necessary to create a platform that support the development, validation and evaluation of algorithms of learning and classification in the environments of application under study. The project proposed is defined for the creation of a platform that allows evaluating algorithms of machine learning as mechanisms of identification in intelligent spaces. There will be studied both the own algorithms of this type of technologies and the current existing platforms to define a set of specific requirements of the platform to develop. After the analysis the platform will develop partially. After the development it will be validated by prove of concept and finally verified in an environment of investigation that would be define.

Sistema domótico controlado por mensajería instantánea Whatsapp para personas con discapacidad

El presente PFC tiene como objetivo el desarrollo de un gestor domótico basado en el dictado de voz de la red social WhatsApp. Dicho gestor no solo sustituirá el concepto dañino de que la integración de la domótica hoy en día es cara e inservible sino que acercará a aquellas personas con una discapacidad a tener una mejora en la calidad de vida. Estas personas, con un simple comando de voz a su aplicación WhatsApp de su terminal móvil, podrán activar o desactivar todos los elementos domóticos que su vivienda tenga instalados, “activar lámpara”, “encender Horno”, “abrir Puerta”… Todo a un muy bajo precio y utilizando tecnologías OpenSource El objetivo principal de este PFC es ayudar a la gente con una discapacidad a tener mejor calidad de vida, haciéndose independiente en las labores del hogar, ya que será el hogar quien haga las labores. La accesibilidad de este servicio, es por tanto, la mayor de las metas. Para conseguir accesibilidad para todas las personas, se necesita un servicio barato y de fácil aprendizaje. Se elige la red social WhatsApp como interprete, ya que no necesita de formación al ser una aplicación usada mayoritariamente en España y por la capacidad del dictado de voz, y se eligen las tecnologías OpenSource por ser la gran mayoría de ellas gratuitas o de pago solo el hardware. La utilización de la Red social WhatsApp se justifica por sí sola, en septiembre de 2015 se registraron 900 millones de usuarios. Este dato es fruto, también, de la reciente adquisición por parte de Facebook y hace que cumpla el primer requisito de accesibilidad para el servicio domotico que se presenta. Desde hace casi 5 años existe una API liberada de WhatsApp, que la comunidad OpenSource ha utilizado, para crear sus propios clientes o aplicaciones de envío de mensajes, usando la infraestructura de la red social. La empresa no lo aprueba abiertamente, pero la liberación de la API fue legal y su uso también lo es. Por otra parte la empresa se reserva el derecho de bloquear cuentas por el uso fraudulento de su infraestructura. Las tecnologías OpenSource utilizadas han sido, distribuciones Linux (Raspbian) y lenguajes de programación PHP, Python y BASHSCRIPT, todo cubierto por la comunidad, ofreciendo soporte y escalabilidad. Es por ello que se utiliza, como matriz y gestor domotico central, una RaspberryPI. Los servicios que el gestor ofrece en su primera versión incluyen el control domotico de la iluminación eléctrica general o personal, el control de todo tipo de electrodomésticos, el control de accesos para la puerta principal de entrada y el control de medios audiovisuales. ABSTRACT. This final thesis aims to develop a domotic manager based on the speech recognition capacity implemented in the social network, WhatsApp. This Manager not only banish the wrong idea about how expensive and useless is a domotic installation, this manager will give an opportunity to handicapped people to improve their quality of life. These people, with a simple voice command to their own WhatsApp, could enable or disable all the domotics devices installed in their living places. “On Lamp”, “ON Oven”, “Open Door”… This service reduce considerably the budgets because the use of OpenSource Technologies. The main achievement of this thesis is help handicapped people improving their quality of life, making independent from the housework. The house will do the work. The accessibility is, by the way, the goal to achieve. To get accessibility to a width range, we need a cheap, easy to learn and easy to use service. The social Network WhatsApp is one part of the answer, this app does not need explanation because is used all over the world, moreover, integrates the speech recognition capacity. The OpenSource technologies is the other part of the answer due to the low costs or, even, the free costs of their implementations. The use of the social network WhatsApp is explained by itself. In September 2015 were registered around 900 million users, of course, the recent acquisition by Facebook has helped in this astronomic number and match the first law of this service about the accessibility. Since five years exists, in the internet, a free WhatsApp API. The OpenSource community has used this API to develop their own messaging apps or desktop-clients, using the WhatsApp infrastructure. The company does not approve officially, however le API freedom is legal and the use of the API is legal too. On the other hand, the company can block accounts who makes a fraudulent use of his infrastructure. OpenSource technologies used in this thesis are: Linux distributions (Raspbian) and programming languages PHP, Python and BASHCSRIPT, all of these technologies are covered by the community offering support and scalability. Due to that, it is used a RaspberryPI as the Central Domotic Manager. The domotic services that currently this manager achieve are: Domotic lighting control, electronic devices control, access control to the main door and Media Control.

Narratives and counter-narratives on "marriage of convenience" : conjugality and (il)legality in portuguese migration policies and in couples’ experiences

Tese de doutoramento, Sociologia (Sociologia da Família, Juventude e das Relações do Género), Universidade de Lisboa, Instituto de Ciências Sociais, 2016