Symbolic Solving of Partial Differential Equation Systems and Compatibility Conditions

An algorithm is produced for the symbolic solving of systems of partial differential equations by means of multivariate Laplace–Carson transform. A system of K equations with M as the greatest order of partial derivatives and right-hand parts of a special type is considered. Initial conditions are input. As a result of a Laplace–Carson transform of the system according to initial condition we obtain an algebraic system of equations. A method to obtain compatibility conditions is discussed.

Analysis and Data Mining of Lead-Zinc Ore Data

This paper presents the results of our data mining study of Pb-Zn (lead-zinc) ore assay records from a mine enterprise in Bulgaria. We examined the dataset, cleaned outliers, visualized the data, and created dataset statistics. A Pb-Zn cluster data mining model was created for segmentation and prediction of Pb-Zn ore assay data. The Pb-Zn cluster data model consists of five clusters and DMX queries. We analyzed the Pb-Zn cluster content, size, structure, and characteristics. The set of the DMX queries allows for browsing and managing the clusters, as well as predicting ore assay records. A testing and validation of the Pb-Zn cluster data mining model was developed in order to show its reasonable accuracy before beingused in a production environment. The Pb-Zn cluster data mining model can be used for changes of the mine grinding and floatation processing parameters in almost real-time, which is important for the efficiency of the Pb-Zn ore beneficiation process. ACM Computing Classification System (1998): H.2.8, H.3.3.

The Fifth National Information Day: Open Access to Scientific Information and Data

This work was supported in part by the EU „2nd Generation Open Access Infrastructure for Research in Europe" (OpenAIRE+). The autumn training school Development and Promotion of Open Access to Scientific Information and Research is organized in the frame of the Fourth International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage—DiPP2014 (September 18–21, 2014, Veliko Tarnovo, Bulgaria, http://dipp2014.math.bas.bg/), organized under the UNESCO patronage. The main organiser is the Institute of Mathematics and Informatics, Bulgarian Academy of Sciences with the support of EU project FOSTER (http://www.fosteropenscience.eu/) and the P. R. Slaveykov Regional Public Library in Veliko Tarnovo, Bulgaria.

A Taxonomy of Big Data for Optimal Predictive Machine Learning and Data Mining

Big data comes in various ways, types, shapes, forms and sizes. Indeed, almost all areas of science, technology, medicine, public health, economics, business, linguistics and social science are bombarded by ever increasing flows of data begging to be analyzed efficiently and effectively. In this paper, we propose a rough idea of a possible taxonomy of big data, along with some of the most commonly used tools for handling each particular category of bigness. The dimensionality p of the input space and the sample size n are usually the main ingredients in the characterization of data bigness. The specific statistical machine learning technique used to handle a particular big data set will depend on which category it falls in within the bigness taxonomy. Large p small n data sets for instance require a different set of tools from the large n small p variety. Among other tools, we discuss Preprocessing, Standardization, Imputation, Projection, Regularization, Penalization, Compression, Reduction, Selection, Kernelization, Hybridization, Parallelization, Aggregation, Randomization, Replication, Sequentialization. Indeed, it is important to emphasize right away that the so-called no free lunch theorem applies here, in the sense that there is no universally superior method that outperforms all other methods on all categories of bigness. It is also important to stress the fact that simplicity in the sense of Ockham’s razor non-plurality principle of parsimony tends to reign supreme when it comes to massive data. We conclude with a comparison of the predictive performance of some of the most commonly used methods on a few data sets.

The governance of justice and internal security in Scotland:between the Scottish independence referendum and British decisions on the EU

This article examines how the governance of justice and internal security in Scotland could be affected by the outcome of the Scottish independence referendum in September 2014. The article argues that it is currently impossible to equate a specific result in the referendum with a given outcome for the governance of justice and internal security in Scotland. This is because of the complexities of the current arrangements in that policy area and the existence of several changes that presently affect them and are outside the control of the government and of the people of Scotland. This article also identifies an important paradox. In the policy domain of justice and internal security, a ‘no’ vote could, in a specific set of circumstances, actually lead to more changes than a victory of the ‘yes’ camp.

On stopwords, filtering and data sparsity for sentiment analysis of Twitter

Sentiment classification over Twitter is usually affected by the noisy nature (abbreviations, irregular forms) of tweets data. A popular procedure to reduce the noise of textual data is to remove stopwords by using pre-compiled stopword lists or more sophisticated methods for dynamic stopword identification. However, the effectiveness of removing stopwords in the context of Twitter sentiment classification has been debated in the last few years. In this paper we investigate whether removing stopwords helps or hampers the effectiveness of Twitter sentiment classification methods. To this end, we apply six different stopword identification methods to Twitter data from six different datasets and observe how removing stopwords affects two well-known supervised sentiment classification methods. We assess the impact of removing stopwords by observing fluctuations on the level of data sparsity, the size of the classifier's feature space and its classification performance. Our results show that using pre-compiled lists of stopwords negatively impacts the performance of Twitter sentiment classification approaches. On the other hand, the dynamic generation of stopword lists, by removing those infrequent terms appearing only once in the corpus, appears to be the optimal method to maintaining a high classification performance while reducing the data sparsity and substantially shrinking the feature space

Innováció és dinamizmus. Kölcsönhatás a rendszerek és a technikai haladás között = Innovation and dynamism. Reciprocal effect between systems and technical advance

A posztszocialista átalakulással foglalkozó irodalom rendszerint az átmenet politikai, gazdasági és társadalmi oldalával foglalkozik, holott az elmúlt húsz évben fontos változások mentek végbe a technikai haladás terén is. A kapitalizmus egyik fő erénye a dinamizmus, a vállalkozás, az innovációs folyamat erős ösztönzése. Valamennyi (polgári célokra használt) forradalmian új terméket a kapitalista rendszer hozta létre, a szocialista rendszer legfeljebb katonai rendeltetésű új termékekkel tudott előállni. A cikk azt elemzi, hogy mennyiben magyarázható ez a mélyreható különbség a két rendszer veleszületett hajlamaival, alapvető tulajdonságaival. Az új termékek térhódítása (köztük a számítógép, a mobiltelefon, az internet, az információs-kommunikációs szféra radikális átalakulása) megváltoztatta az emberek mindennapi életét. Miközben sokan mindezt kedvező változásként élik meg, nem vesznek tudomást a kapitalista rendszer és a gyors technikai haladás közötti okozati összefüggésről. A kapitalizmusnak e fontos erényét a mikroökonómia szokványos oktatása sem világítja meg a diákok számára, és nem kap kellő hangsúlyt a vezető politikusok megnyilvánulásaiban sem. _________________ Literature on post-socialist transformation usually deals with the political, economic and social sides of it, although there have also been important changes in the field of technical advance in the last twenty years. One of capitalisms main virtues is the strong incentive it gives to dynamism, enterprise and the innovation process. Every revolutionary new prodŹuct (for civilian use) has been brought about by the capitalist system. The socialist system was capable at most of developing new military products. The article analyses how far this radical difference can be explained by the innate tendencies and basis attributes of the two systems. Our daily lives have been transformed by these new products (for instance, the sphere of information and communications by the computer, the mobile phone and the internet). While many people see all these as favourable changes, fewer discern the causal relation between the capitalist system and rapid technical progress. Yet the usual syllabus of microeconomics does not enlighten students on this important virtue of capitalism, which is not adequately emphasized in the statements of leading politicians either.

Gender, identity, and the security state: The politics of international drug trafficking

This dissertation examined how United States illicit drug control policy, often commonly referred to as the "war on drugs," contributes to the reproduction of gendered and racialized social relations. Specifically, it analyzed the identity producing practices of United States illicit drug control policy as it relates to the construction of U.S. identities. ^ Drawing on the theoretical contributions of feminist postpositivists, three cases of illicit drug policy practice were discussed. In the first case, discourse analysis was employed to examine recent debates (1986-2005) in U.S. Congressional Hearings about the proper understanding of the illicit drug "threat." The analysis showed how competing policy positions are tied to differing understandings of proper masculinity and the role of policymakers as protectors of the national interest. Utilizing critical visual methodologies, the second case examined a public service media campaign circulated by the Office of National Drug Control Policy that tied the "war on drugs" with another security concern in the U.S., the "war on terror." This case demonstrated how the media campaign uses messages about race, masculinity, and femininity to produce privileged notions of state identity and proper citizenship. The third case examined the gendered politics of drug interdiction at the U.S. border. Using qualitative research methodologies including semi-structured interviews and participant observation, it examined how gender is produced through drug interdiction at border sites like Miami International Airport. By paying attention to the discourse that circulates about women drug couriers, it showed how gender is normalized in a national security setting. ^ What this dissertation found is that illicit drug control policy takes the form it does because of the politics of gender and racial identity and that, as a result, illicit drug policy is implicated in the reproduction of gender and racial inequities. It concluded that a more socially conscious and successful illicit drug policy requires an awareness of the gendered and racialized assumptions that inform and shape policy practices.^

Airline Deregulation, Computerized Reservation Systems, and Travel Agents

With the beginning of airline deregulations in 1978, U.S. domestic operations were in for a period of turmoil, adjustment, vibrancy, entrepreneurship, and change. A great deal has been written about the effects of deregulation on airlines and their personnel, and on the public at large. Less attention has been paid to the effects on travel agents and on the seminal role of computerized reservations systems (CRSs) in the flowering of travel agencies. This article examines both of these phenomena.

The exclusive fishing zone for the artisanal fishery in Chocó Colombia: origins, development, and consequences for artisanal fisheries and food security.

Exclusive Fishing Zones (EFZs) are a type of place-based management tool often used to mitigate conflicts between fishing sectors by granting fishing rights to one of the sectors. This case study enhances our knowledge of the pre- and post-implementation processes associated with EFZs as well as its consequences for fish stocks and artisanal fishers and their families. The study draws upon interviews with artisanal fishers and key informants related to an EFZ established in 2008 in Colombia (the Chocó-EFZ). The findings of this research indicate that conflicts at sea and on land between artisanal and industrial fisheries triggered the Chocó-EFZ process. Results also show some potential benefits of the Chocó-EFZ including: a) mitigating conflicts between artisanal fishers and industrial shrimpers; b) contributing to the food security of artisanal fishing households and sustaining local fish stocks; c) supporting an existing informal community-based management as well as promoting the development of a co-management regime. Potential negative effects of the Chocó-EFZ include: a) displacement of industrial fishing effort and, b) job loss within the industrial shrimp industry. The findings of this research also indicate that there are multiple factors that jeopardize the effectiveness and continuation of the Chocó-EFZ, some of which include diversity of fisheries, power struggles among stakeholders, and disagreement about exclusive access to fish resources.

Comparative performance between two photogrammetric systems and a reference laser tracker network for large-volume industrial measurement

This paper determines the capability of two photogrammetric systems in terms of their measurement uncertainty in an industrial context. The first system – V-STARS inca3 from Geodetic Systems Inc. – is a commercially available measurement solution. The second system comprises an off-the-shelf Nikon D700 digital camera fitted with a 28 mm Nikkor lens and the research-based Vision Measurement Software (VMS). The uncertainty estimate of these two systems is determined with reference to a calibrated constellation of points determined by a Leica AT401 laser tracker. The calibrated points have an average associated standard uncertainty of 12·4 μm, spanning a maximum distance of approximately 14·5 m. Subsequently, the two systems’ uncertainty was determined. V-STARS inca3 had an estimated standard uncertainty of 43·1 μm, thus outperforming its manufacturer's specification; the D700/VMS combination achieved a standard uncertainty of 187 μm.

The Relationship Between Support Systems and Disease Burden for Families Coping with Sickle Cell Disease in South Africa and Cameroon

Background: Sickle cell disease (SCD) is a debilitating genetic blood disorder that seriously impacts the quality of life of affected individuals and their families. With 85% of cases occurring in sub-Saharan Africa, it is essential to identify the barriers and facilitators of optimal outcomes for people with SCD in this setting. This study focuses on understanding the relationship between support systems and disease outcomes for SCD patients and their families in Cameroon and South Africa.

Methods: This mixed-methods study utilizes surveys and semi-structured interviews to assess the experiences of 29 SCD patients and 28 caregivers of people with SCD across three cities in two African countries: Cape Town, South Africa; Yaoundé, Cameroon; and Limbe, Cameroon.

Results: Patients in Cameroon had less treatment options, a higher frequency of pain crises, and a higher incidence of malaria than patients in South Africa. Social support networks in Cameroon consisted of both family and friends and provided emotional, financial, and physical assistance during pain crises and hospital admissions. In South Africa, patients relied on a strong medical support system and social support primarily from close family members; they were also diagnosed later in life than those in Cameroon.

Conclusions: The strength of medical support systems influences the reliance of SCD patients and their caregivers on social support systems. In Cameroon the health care system does not adequately address all factors of SCD treatment and social networks of family and friends are used to complement the care received. In South Africa, strong medical and social support systems positively affect SCD disease burden for patients and their caregivers. SCD awareness campaigns are necessary to reduce the incidence of SCD and create stronger social support networks through increased community understanding and decreased stigma.