EDUCATION, TRAINING AND AWARENESS OF LAWS AS DETERMINANTS OF COMPLIANCE WITH PLANT PROTECTION LAW: THE CASE OF PESTICIDE USE PRACTICES IN TANZANIA

Pesticide residues in food and environment pose serious health risks to human beings. Plant protection laws, among other things, regulate misuse of agricultural pesticides. Compliance with such laws consequently reduces risks of pesticide residues in food and the environment. Studies were conducted to assess the compliance with plant protection laws among tomato farmers in Mvomero District, Morogoro Region, Tanzania. Compliance was assessed by examining pesticide use practices that are regulated by the Tanzanian Plant Protection Act (PPA) of 1997. A total of 91 tomato farmers were interviewed using a structured questionnaire. Purposive sampling was used in selecting at least 30 respondent farmers from each of the three villages of Msufini, Mlali and Doma in Mvomero District, Morogoro Region. Simple Random Sampling was used to obtain respondents from the sampling frame. Individual and social factors were examined on how they could affect pesticide use practices regulated by the law. Descriptive statistics, mainly frequency, were used to analyze the data while associations between variables were determined using Chi-Square and logistic regression model. The results showed that respondents were generally aware of the existence of laws on agriculture, environment and consumer health, although none of them could name a specific Act. The results revealed further that 94.5% of the farmers read instructions on the pesticides label. However, only 21% used the correct doses of pesticides, 40.7% stored pesticides in special stores, 68.1% used protective gear, while 94.5% always read instructions on the label before using a pesticide product. Training influenced the application rate of pesticide (p < 0.001) while awareness of agricultural laws significantly influenced farmers’ tendency to read information on the labels (p < 0.001). The results showed further that education significantly influenced the use of protective gears by farmers (p = 0.042). Education also significantly affected the manner in which farmers stored pesticide-applying equipment (p = 0.024). Furthermore, farmers’ awareness of environmental laws significantly (p = 0.03) affected farmers’ disposal of empty pesticide containers. Results of this study suggest the need for express provisions on safe use and handling of pesticides and related offences in the Act, and that compliance should be achieved through education rather than coercion. Results also suggest establishment of pesticide disposal mechanisms and structures to reduce unsafe disposal of pesticide containers. It is recommended that farmers should be educated and trained on proper use of pesticides. Farmers’ awareness on laws affecting food, environment and agriculture should be improved.

SC INFORMATION LETTER #16-8

A citator of advisory opinions issued by the Department from 1987 through June 2016 is available. This citator provides assistance in determining what effect new advisory opinions have on those previously published. This citator has been compiled as a reference tool for the convenience of taxpayers, tax practitioners, and Department employees

Chebanov law and Vakar formula in mathematical models of complex systems

Ecological models written in a mathematical language L(M) or model language, with a given style or methodology can be considered as a text. It is possible to apply statistical linguistic laws and the experimental results demonstrate that the behaviour of a mathematical model is the same of any literary text of any natural language. A text has the following characteristics: (a) the variables, its transformed functions and parameters are the lexic units or LUN of ecological models; (b) the syllables are constituted by a LUN, or a chain of them, separated by operating or ordering LUNs; (c) the flow equations are words; and (d) the distribution of words (LUM and CLUN) according to their lengths is based on a Poisson distribution, the Chebanov's law. It is founded on Vakar's formula, that is calculated likewise the linguistic entropy for L(M). We will apply these ideas over practical examples using MARIOLA model. In this paper it will be studied the problem of the lengths of the simple lexic units composed lexic units and words of text models, expressing these lengths in number of the primitive symbols, and syllables. The use of these linguistic laws renders it possible to indicate the degree of information given by an ecological model.

Trajectory Privacy Preservation in Mobile Wireless Sensor Networks

In recent years, there has been an enormous growth of location-aware devices, such as GPS embedded cell phones, mobile sensors and radio-frequency identification tags. The age of combining sensing, processing and communication in one device, gives rise to a vast number of applications leading to endless possibilities and a realization of mobile Wireless Sensor Network (mWSN) applications. As computing, sensing and communication become more ubiquitous, trajectory privacy becomes a critical piece of information and an important factor for commercial success. While on the move, sensor nodes continuously transmit data streams of sensed values and spatiotemporal information, known as ``trajectory information". If adversaries can intercept this information, they can monitor the trajectory path and capture the location of the source node. This research stems from the recognition that the wide applicability of mWSNs will remain elusive unless a trajectory privacy preservation mechanism is developed. The outcome seeks to lay a firm foundation in the field of trajectory privacy preservation in mWSNs against external and internal trajectory privacy attacks. First, to prevent external attacks, we particularly investigated a context-based trajectory privacy-aware routing protocol to prevent the eavesdropping attack. Traditional shortest-path oriented routing algorithms give adversaries the possibility to locate the target node in a certain area. We designed the novel privacy-aware routing phase and utilized the trajectory dissimilarity between mobile nodes to mislead adversaries about the location where the message started its journey. Second, to detect internal attacks, we developed a software-based attestation solution to detect compromised nodes. We created the dynamic attestation node chain among neighboring nodes to examine the memory checksum of suspicious nodes. The computation time for memory traversal had been improved compared to the previous work. Finally, we revisited the trust issue in trajectory privacy preservation mechanism designs. We used Bayesian game theory to model and analyze cooperative, selfish and malicious nodes' behaviors in trajectory privacy preservation activities.

La protection des données personnelles en droit international privé

Les nouvelles technologies et l’arrivée de l’Internet ont considérablement facilité les échanges transnationaux de données entre les entreprises publiques et/ou privées et également entre les personnes elles-mêmes. Cependant cette révolution numérique n’a pas été sans conséquences sur l’utilisation de nos données personnelles puisque cette abondance de données à la portée de tiers peut conduire à des atteintes : la commercialisation des données personnelles sans le consentement de l’intéressé par des entreprises ou encore la diffusion de sa photographie, de son nom, de son prénom à son insu en sont des exemples. La question qui vient alors se poser est en cas de litige, c’est-à-dire en cas d’atteintes au droit à la protection de nos données personnelles, présentant un ou des éléments d’extranéité, quels tribunaux pouvons-nous saisir ? Et quelle est la loi qui sera applicable ? Les droits québécois, de l’Union européenne, et suisse présentent différents critères de rattachement intéressants et adaptés à des situations prenant place hors et sur internet. Le droit commun de chacun de ces systèmes est envisagé, puis appliqué aux données personnelles dans le cadre d’une situation normale, et ensuite à internet si la situation diffère. La doctrine est également analysée dans la mesure où certaines solutions sont tout à fait intéressantes, et cela notamment sur internet. Un premier chapitre est consacré à la compétence internationale des tribunaux et aux critères de rattachement envisageables en droit commun à savoir notamment : le tribunal de l’État de survenance du préjudice, le tribunal de l’État de la faute ou encore le tribunal du domicile de la victime. Et ceux prévus ou non par la doctrine tels que l’accessibilité et le ciblage par exemple. Les conflits de lois sont étudiés dans un deuxième chapitre avec également l’énumération les différents facteurs de rattachement envisageables en droit commun comme la loi de l’État du préjudice, la loi de l’État de la faute ou encore la loi de l’État favorisant la victime. Et également ceux prévus par la doctrine : la loi de l’État « offrant la meilleure protection des données à caractère personnel » ou encore la loi de l’État où est établi le « maître du fichier ». Le tribunal le plus compétent au regard des principes généraux de droit international privé en cas d’atteintes au droit de la protection des données personnelles hors et sur internet est le tribunal de l’État du domicile de la victime. Et la meilleure loi applicable est la loi de l’État du domicile ou de la résidence principale du demandeur et du défendeur à l’instance, et dans le cas où la situation ne présente pas d’éléments d’extranéité, la meilleure loi est la loi favorisant la victime.

Secure and Privacy-aware Data Collection and Processing in Mobile Health Systems

Healthcare systems have assimilated information and communication technologies in order to improve the quality of healthcare and patient's experience at reduced costs. The increasing digitalization of people's health information raises however new threats regarding information security and privacy. Accidental or deliberate data breaches of health data may lead to societal pressures, embarrassment and discrimination. Information security and privacy are paramount to achieve high quality healthcare services, and further, to not harm individuals when providing care. With that in mind, we give special attention to the category of Mobile Health (mHealth) systems. That is, the use of mobile devices (e.g., mobile phones, sensors, PDAs) to support medical and public health. Such systems, have been particularly successful in developing countries, taking advantage of the flourishing mobile market and the need to expand the coverage of primary healthcare programs. Many mHealth initiatives, however, fail to address security and privacy issues. This, coupled with the lack of specific legislation for privacy and data protection in these countries, increases the risk of harm to individuals. The overall objective of this thesis is to enhance knowledge regarding the design of security and privacy technologies for mHealth systems. In particular, we deal with mHealth Data Collection Systems (MDCSs), which consists of mobile devices for collecting and reporting health-related data, replacing paper-based approaches for health surveys and surveillance. This thesis consists of publications contributing to mHealth security and privacy in various ways: with a comprehensive literature review about mHealth in Brazil; with the design of a security framework for MDCSs (SecourHealth); with the design of a MDCS (GeoHealth); with the design of Privacy Impact Assessment template for MDCSs; and with the study of ontology-based obfuscation and anonymisation functions for health data.

La protection des données personnelles en droit international privé

Les nouvelles technologies et l’arrivée de l’Internet ont considérablement facilité les échanges transnationaux de données entre les entreprises publiques et/ou privées et également entre les personnes elles-mêmes. Cependant cette révolution numérique n’a pas été sans conséquences sur l’utilisation de nos données personnelles puisque cette abondance de données à la portée de tiers peut conduire à des atteintes : la commercialisation des données personnelles sans le consentement de l’intéressé par des entreprises ou encore la diffusion de sa photographie, de son nom, de son prénom à son insu en sont des exemples. La question qui vient alors se poser est en cas de litige, c’est-à-dire en cas d’atteintes au droit à la protection de nos données personnelles, présentant un ou des éléments d’extranéité, quels tribunaux pouvons-nous saisir ? Et quelle est la loi qui sera applicable ? Les droits québécois, de l’Union européenne, et suisse présentent différents critères de rattachement intéressants et adaptés à des situations prenant place hors et sur internet. Le droit commun de chacun de ces systèmes est envisagé, puis appliqué aux données personnelles dans le cadre d’une situation normale, et ensuite à internet si la situation diffère. La doctrine est également analysée dans la mesure où certaines solutions sont tout à fait intéressantes, et cela notamment sur internet. Un premier chapitre est consacré à la compétence internationale des tribunaux et aux critères de rattachement envisageables en droit commun à savoir notamment : le tribunal de l’État de survenance du préjudice, le tribunal de l’État de la faute ou encore le tribunal du domicile de la victime. Et ceux prévus ou non par la doctrine tels que l’accessibilité et le ciblage par exemple. Les conflits de lois sont étudiés dans un deuxième chapitre avec également l’énumération les différents facteurs de rattachement envisageables en droit commun comme la loi de l’État du préjudice, la loi de l’État de la faute ou encore la loi de l’État favorisant la victime. Et également ceux prévus par la doctrine : la loi de l’État « offrant la meilleure protection des données à caractère personnel » ou encore la loi de l’État où est établi le « maître du fichier ». Le tribunal le plus compétent au regard des principes généraux de droit international privé en cas d’atteintes au droit de la protection des données personnelles hors et sur internet est le tribunal de l’État du domicile de la victime. Et la meilleure loi applicable est la loi de l’État du domicile ou de la résidence principale du demandeur et du défendeur à l’instance, et dans le cas où la situation ne présente pas d’éléments d’extranéité, la meilleure loi est la loi favorisant la victime.

SC INFORMATION LETTER #16-3

The South Carolina Code of Laws allows the imposition of various types of local sales and use taxes. Citizens of a county, depending upon the needs within the county, may impose one or several local sales and use taxes. Attached are three charts that provide guidance concerning the various types of local sales and use taxes collected by the Department of Revenue and the types of exemptions allowed under each tax.

Summary of Commercial Fishing Laws for Other Equipment/Trotlines and General Commercial Fishing Information 2016-2017

Each year the South Carolina Department of Natural Resources, Marine Resources Division publishes a summary of the laws and regulations of commercial fishing in the state. This publication provides the license requirements, definitions, restrictions, and laws and regulations for the use of fishing equipment.

Data privacy in interoperability environments – a case study in the Portuguese healthcare sector

Data sharing between organizations through interoperability initiatives involving multiple information systems is fundamental to promote the collaboration and integration of services. However, in terms of data, the considerable increase in its exposure to additional risks, require a special attention to issues related to privacy of these data. For the Portuguese healthcare sector, where the sharing of health data is, nowadays, a reality at national level, data privacy is a central issue, which needs solutions according to the agreed level of interoperability between organizations. This context led the authors to study the factors with influence on data privacy in a context of interoperability, through a qualitative and interpretative research, based on the method of case study. This article presents the final results of the research that successfully identifies 10 subdomains of factors with influence on data privacy, which should be the basis for the development of a joint protection program, targeted at issues associated with data privacy.

Data, Competition, and Consumer Privacy in Digital Markets

In digital markets personal information is pervasively collected by firms. In the first chapter I study data ownership and product customization when there is exclusive access to non rival but excludable data about consumer preferences. I show that an incumbent firm does not have an incentive to sell an exclusively held dataset with a rival firm, but instead it has an incentive to trade a customizing technology with the other firm. In the second chapter I investigate the effects of consumer information on the intensity of competition. In a two dimensional model of product differentiation, firms use information on preferences to practice price discrimination. I contrast a full privacy and a no privacy benchmark with a regime in which firms are able to target consumers only partially. When data is partially informative, firms are always better-off with price discrimination and an exclusive access to user data is not necessarily a competition policy concern. From a consumer protection perspective, the policy recommendation is that the regulator should promote either no privacy or full privacy. In the third chapter I introduce a data broker that observes either only one or both dimensions of consumer information and sells this data to competing firms for price discrimination purposes. When the seller exogenously holds a partially informative dataset, an exclusive allocation arises. Instead, when the dataset held is fully informative, the data broker trades information non exclusively but each competitor acquires consumer data on a different dimension. When data collection is made endogenous, non exclusivity is robust if collection costs are not too high. The competition policy suggestion is that exclusivity should not be banned per se, but it is data differentiation in equilibrium that rises market power in competitive markets. Upstream competition is sufficient to ensure that both firms get access to consumer information.

Data protection by design in the e-health care sector: theoretical and applied perspectives

In the digital age, e-health technologies play a pivotal role in the processing of medical information. As personal health data represents sensitive information concerning a data subject, enhancing data protection and security of systems and practices has become a primary concern. In recent years, there has been an increasing interest in the concept of Privacy by Design, which aims at developing a product or a service in a way that it supports privacy principles and rules. In the EU, Article 25 of the General Data Protection Regulation provides a binding obligation of implementing Data Protection by Design technical and organisational measures. This thesis explores how an e-health system could be developed and how data processing activities could be carried out to apply data protection principles and requirements from the design stage. The research attempts to bridge the gap between the legal and technical disciplines on DPbD by providing a set of guidelines for the implementation of the principle. The work is based on literature review, legal and comparative analysis, and investigation of the existing technical solutions and engineering methodologies. The work can be differentiated by theoretical and applied perspectives. First, it critically conducts a legal analysis on the principle of PbD and it studies the DPbD legal obligation and the related provisions. Later, the research contextualises the rule in the health care field by investigating the applicable legal framework for personal health data processing. Moreover, the research focuses on the US legal system by conducting a comparative analysis. Adopting an applied perspective, the research investigates the existing technical methodologies and tools to design data protection and it proposes a set of comprehensive DPbD organisational and technical guidelines for a crucial case study, that is an Electronic Health Record system.

Algorithmic business and EU law on fair trading

This thesis studies how commercial practice is developing with artificial intelligence (AI) technologies and discusses some normative concepts in EU consumer law. The author analyses the phenomenon of 'algorithmic business', which defines the increasing use of data-driven AI in marketing organisations for the optimisation of a range of consumer-related tasks. The phenomenon is orienting business-consumer relations towards some general trends that influence power and behaviors of consumers. These developments are not taking place in a legal vacuum, but against the background of a normative system aimed at maintaining fairness and balance in market transactions. The author assesses current developments in commercial practices in the context of EU consumer law, which is specifically aimed at regulating commercial practices. The analysis is critical by design and without neglecting concrete practices tries to look at the big picture. The thesis consists of nine chapters divided in three thematic parts. The first part discusses the deployment of AI in marketing organisations, a brief history, the technical foundations, and their modes of integration in business organisations. In the second part, a selected number of socio-technical developments in commercial practice are analysed. The following are addressed: the monitoring and analysis of consumers’ behaviour based on data; the personalisation of commercial offers and customer experience; the use of information on consumers’ psychology and emotions, the mediation through marketing conversational applications. The third part assesses these developments in the context of EU consumer law and of the broader policy debate concerning consumer protection in the algorithmic society. In particular, two normative concepts underlying the EU fairness standard are analysed: manipulation, as a substantive regulatory standard that limits commercial behaviours in order to protect consumers’ informed and free choices and vulnerability, as a concept of social policy that portrays people who are more exposed to marketing practices.