Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Data Mining Techniques to the Data Analyses to Ensure Safety of Medicine Usage

Not only the safety of medicines themselves, from the perspective of medicinal properties, but also the safety of medicine usage is important, in order to ensure the right use of the right medicines and prevent medical accidents. The author has applied data-mining techniques to the analyses of data to investigate the status about the safety of medicine usage, such as the data in the database of medical near-miss cases which have been collected by Japanese government, the investigation data to understand how patients handle the injection device for anti-diabetic drug by themselves after the guidance by a doctor, the questionnaire data asking opinions about the mark indicating a medical property on some cardiac transdermal patch, which were provided by medical experts and/or pharmaceutical companies. The analyses on such data have been traditionally based on the statistical approaches, which bring us the information about the single attribute of data, for instance, the tables showing the frequency of events under some condition and the analysis whether the difference of the frequency is statistically significant, and so on. It is, however, important to extract the information not only of the each attribute independently but also about the relations among them, since each data in the results of the investigations is supposed to be generated under complex conditions, some set of which is an essential cause. In order to find the relationships of data or the items of the data, it is useful to utilize the clustering algorithms to classify the data into some clusters, in each of which data have the same characteristics, and the decision tree algorithms to find the condition to distinguish the data based on the classes to which they belong, from in rough to in detail. By means of both algorithms, we can find a structure among the data, which kinds of data we have obtained and which conditions generate such kinds of data. In this paper, we first make a brief review of some clustering algorithms including agglomerated hierarchical clustering algorithm, TwoStep clustering algorithm and K-means algorithm with the number of seeds optimized by Bayesian information criterion (BIC) and also show how to combine them to the idea of specialization coefficients. Next, we introduce the review of the application to the data related to the safety of medicine usage shown above. Last, we summarize the principle of application of data mining to such analyses.
SOUTH AMERICAN MONSOON DURING THE TWO PHASES OF THE PACIFIC DECADAL OSCILLATION

Monsoon system is the major component of the summer rainfall over some continental areas. This system develops over low latitude lands in response to seasonal thermal contrast between continents and the adjacent oceanic regions. The climate over a large portion of South America (SA) shows monsoon characteristics, among others the wet summer and dry winter (Vera et al., 2005; Grimm et al., 2004). The South American Monsoon system (SAMS) interannual variability is related to the El Niño/Southern Oscillation (ENSO). However, the PDO might also influence the SAMS variability. Decadal variations and long-term trends have been found for hydrometeorological parameters in SA. Zhou and Lau (2001) obtained a decadal mode of summer rainfall with opposite sign anomalies over northwestern and northeastern SA for 1979-1995. Several authors found increased rainfall over the Amazon basin during 1980-1990 relative to 1950-1960 (e.g., Chu et al., 1994). Andreoli and Kayano (2005) found larger
Principal Stress Ratio Effect at Residual Stress Determination Utilizing the Variation of Indentation Hardness

The determination of residual stresses is an important issue when it comes to material failure analysis. The variation of global indentation properties, due to the presence of residual stresses, can serve as a guideline for the size and direction of such stresses. One of these global indentation properties, the material hardness, is unfortunately invariant of residual stresses when metals and alloys are at issue. In this situation, one has to rely on the size of the indentation contact area for residual stress determination. For other materials such as ceramics and polymers, where elastic deformations are of greater importance at indentation, such invariance is no longer present. Here, this variation is investigated based on finite element simulations. The aim is then to determine how the indentation hardness is influenced by the principal residual stress ratio and also discuss if such an influence is sufficient in order to determine the size and direction of such stresses in an experimental situation. It should be emphasized that this work does not suggest a new approach to residual stress determination (by indentation testing) but investigates the applicability of previously derived methods to a situation where the surface stress field is not simplified as equi-biaxial or uniaxial. For simplicity, but not out of necessity, only cone indentation of elastic-perfectly plastic materials is considered.
Widening the Net: Challenges for Gathering Linguistic Data in the Digital Age

Reliable scientific data from the full diversity of the world’s languages is required to validate current views of the human capacity for language. The current methodologies of linguistic investigation—fieldwork, experimentation, the mining of large corpora—have inherent limitations. We raise the challenge of how these methodologies can be transformed to overcome their limitations. Meeting this challenge will require new versions of these methodologies that are simpler, more portable, and less culturally entrenched than those currently in use. Such methodologies should generalize cleanly to diverse languages, communities
ANALYSIS OF VOLTAGE QUALITY PARAMETERS IN LV DISTRIBUTION GRIDS WITH CONNECTED DES

This paper describes the impact of operation of distributed energy sources on voltage quality parameters in low voltage distribution grids. The survey is based on the evaluation of 60 voltage quality measurements which were carried out in 30 different low voltage distribution grids with connected power sources. These 60 measurements were made in 2016 and were evaluated according to the standard EN 50160. The impact on voltage variations and other voltage quality parameters was analysed.
A fully-abstract output-based semantics of λ μ in the π-calculus

We study the λμ-calculus, extended with explicit substitution, and define a compositional output-based interpretation into a variant of the π-calculus with pairing. We show that this interpretation preserves single-step explicit head-reduction with respect to weak bisimilarity. We use this result to show operational soundness for head reduction, adequacy, and operational completeness. We also show that weak (i.e. lazy) reduction on closed terms is directly implemented through synchronisation. We define four notions of weak equivalence for λμ – one based on weak reduction ‘∼wβμ’, two modelling weak head-reduction and weak explicit head reduction, ‘∼wh’ and ‘∼wxh’ respectively (all considering terms without weak head-normal form equivalent as well), and one based on weak approximation ‘∼A’ – and show they all coincide. We will then show full abstraction results for our interpretation for the weak equivalences with respect to weak bisimilarity on processes using the approach of approximation.
M ay 2 01 9 Manipulating photonic quantum states with long-range interactions

We present a scheme for coherently manipulating quantum states of photons by incorporating multiple photonic modes in a system with long-range interactions. The presence of nonlocal photon-photon interactions destroys the energy or momentum matching conditions between distinct propagating polaritons, and consequently gives rise to blockaded effective coupling between the corresponding polaritons. Such a blockade mechanism protects the system from interaction-induced dissipations and enables highly tunable few-photon nonlinearities. Taking Rydberg atomic ensemble as an example, we illustrate several intriguing phenomena based on the proposed scheme, e.g., the deterministic generation of entangled photon pairs, the nonlinear beam splitting, as well as the establishment of a tunable dressed interaction between individual photons.
Small-scale farmers’ perspectives on what enhances capacity to innovate

Agricultural research and development (ARD) agencies are now more aware of the importance of enhancing capacity of small-scale farmers to innovate and to become better able to adapt to new conditions, problems and opportunities. Challenges for these agencies include: i) monitoring and evaluating changes in capacity to innovate (C2I) at individual and community level as a result of their interventions; and ii) using the monitoring and evaluation (M&E) process as a means for all stakeholders in ARD to learn about what favours and constrains local innovation. Usually, the intervening ARD actors develop the M&E approaches, criteria and indicators to use. In order to better understand the factors that influence C2I from the perspective of small-scale farmers, a mini-study was carried out among 12 such farmers who showcased their innovations at the West African Farmer Innovation Fair in May 2015. The study explored what they saw as the main factors that strengthened local C2I. Semi-structured interviews revealed that many factors identified by the farmers were similar to those identified by intervening agencies, but other factors were mentioned only by farmers, e.g. the role of supportive family members, neighbours and others in their social networks in the innovation processes. Although very limited in scope, this mini-study indicated that there is more to C2I than intervening ARD agencies may expect. This paper calls for attention to this essential yet neglected aspect – the perspectives of small-scale farmers – in evaluating programmes that seek to build C2I as part of their theory of change.
Improvement the shelf life of minced beef

This study examined the effect of acetic acid, carbon dioxide and ground mustard, on the microbiological and chemical quality of raw minced beef storage at 4 °C. The results showed that addition of acetic acid, carbon dioxide and ground mustard significantly delayed the proliferation of aerobic plate counts, Enterobacteriaceae, psychrotrophic counts, and Total Coliform count (MPN) and extended the shelf life of the product up to 6,10 and 12 days, respectively, versus 4 days only for control. Ground mustard was the most effective to decontaminate the minced beef being effective in preventing the growth of a wide variety of microorganisms. Therefore, ground mustard could be utilized successfully to reduce the microbial growth, maintain the chemical quality, and extend the shelf life of minced beef held under proper refrigeration. [Mohamed Tharwat Elabbasy, Kamal Ibrahim Eldesoky and Alaa Eldin Morshdy. Improvement the shelf life of minced beef. Life Sci J 2014;11(9):185-190]. (ISSN:1097-8135). http://www.lifesciencesite. com. 26
iii IMPROVING HADOOP PERFORMANCE BY USING METADATA OF RELATED JOBS IN TEXT DATASETS VIA ENHANCING MAPREDUCE WORKFLOW

Cloud Computing provides different services to the users with regard to processing data. One of the main concepts in Cloud Computing is BigData and BigData analysis. BigData is a complex, un-structured or very large size of data. Hadoop is a tool or an environment that is used to process BigData in parallel processing mode. The idea behind Hadoop is, rather than send data to the servers to process. Hadoop divides a job into small tasks and sends them to servers. These servers contain data, process the tasks and send the results back to the master node in Hadoop. Hadoop contains some limitations that could be developed to have a higher performance in executing jobs. These limitations are mostly because of data locality in the cluster, jobs and tasks scheduling, CPU execution time, or resource allocations in Hadoop. Data locality and efficient resource allocation remains a challenge in cloud computing MapReduce platform. We propose an enhanced Hadoop architecture that
ACCF / AHA / HRS Focused Update on the Management of atients With Atrial Fibrillation ( Updating the 2006 Guideline )

011 WRITING GROUP MEMBERS . Samuel Wann, MD, MACC, FAHA*, Chair; Anne B. Curtis, MD, FACC, FAHA*†; raig T. January, MD, PhD, FACC*†; Kenneth A. Ellenbogen, MD, FACC, FHRS†‡; ames E. Lowe, MD, FACC*; N.A. Mark Estes III, MD, FACC, FHRS§; Richard L. Page, MD, FACC, FHRS‡; ichael D. Ezekowitz, MB, ChB, FACC*; David J. Slotwiner, MD, FACC‡; arren M. Jackman, MD, FACC, FHRS*; William G. Stevenson, MD, FACC, FAHA ; ynthia M. Tracy, MD, FACC*
DETECTION OF LOGICAL CLONE IN CODE USING DATA DEPENDENCY AND EXPRESSION LIST

Code plagiarism is a main issue in various institutes and software industries. We don’t have a perfect approach in detecting the code copied. In various countries like INDIA, USA and UK majority of industries and institutes have gained their own tool for detection of code plagiarism. The developed tools will identify the code program similarities based on statements written in programming language. Our proposed work is to develop an approach which detects the dependencies based on data. We consider data program for tracking similarities on code. The list of expression and data dependencies are detected based on code copied. We prepared a dependency matrix which checks the dependencies of data in the program and compares with the list using efficient method.
AN INVESTIGATION ON MICRO ROBOT FOR MEDICAL APPLICATIONS

This study deals about the development of micro robotics has the potential to make these tiny intelligent micro robots to navigate throughout the body in nearby future. It will revolutionize the medical field by making the therapeutic and diagnostic procedures less invasive. It calls for the micro robot to be bio compatible, remotely controllable and able to perform the designated functions. In this work, design of micro robot for use in circulatory system is focused. First, the introduction about the MEMS and the various methods of actuation, locomotion and powering of micro robot are discussed. Second, the conceptual designs for the micro robot are proposed based on the information collected from field study and the best design is being selected based on the selection criteria. Third, the method of actuation, mathematical model are proposed for the selected design. Finally, the report concludes with the suggestions for improvement in the design of micro robot.
Application of Image Compression Based on Discrete Cosine Transform

Image compression encoding is one of the key techniques in modern multimedia and communication field. DCT is one of the most widely used in image compression processing. It uses the symmetry of the Fourier transform and performs a folding operation on the boundary of the image. It transforms the image into even function form. DCT has been widely used in the areas such as image compression and other fields due to its good energy compaction property and fast computation. In recent years, DCT is one of the basic processing modules in a series of international standard of video coding. Especially, the DCT transform is used in the JPEG and the MPEG. This paper briefly introduces the concept and theory of DCT. The paper introduces the core of DCT coding, and uses the MATLAB language to achieve the DCT-based image compression. Keywords-Data Compression; Image Compression; Discrete Cosine Transform; Joint Photography Experts Group Compression Encoding; Coding
Systems Analysis and Management: Structure, Strategy and Design

In this book the author has â€ževeloped new methods of systems analysis in order to obtain better performance in planning, organization and m a n a g e m e n t of complex programs. These methods can be used to deal with The Elephant Problem: How to see the whole problem by putting together the views of many experts, each of whom sees only certain aspects of the problem. Also, the author stresses that the eventual solution of complex problems lies in making the structure of the system explicit and understandable. This means Top Management can have better u n d e r s t a n d i n g and control,address more cogent questions to Experts and Technical Managers,with less risk delegate authority and responsibility, use the organizational structures for better information flow and division of responsibility. Middle Management can better understand and manage their domain,see clearly their interfaces with other components, know what to communicate, when and to whom, expect to receive information they need when they need it.
From Conceptual Probabilistic Behavior to Operational Measurements

This paper discusses a new approach to incorporate probabilistic behavior in object-oriented Business Models. Probabilistic Finite State Machines are presented and analyzed in terms of their Dynamic and Static properties. In this way, conceptual behavior models are translated in a precise fashion into measures that are very relevant from an operational point of view, for the implementation of the conceptual models. The techniques proposed here only represent a first step into a new area of Business Modeling.
Syntactic Nuts: Hard Cases, Syntactic Theory, and Language Acquisition

On the nature of linguistic explanation Between learning and predetermination Architecture of the learner The theory of syntactic categories either, etc. for Determiners and quantifiers Odd prepositions the the Uniformity Syntactic idiosyncrasies and the learner Reductions Movements Inflections Other potential nuts Brief mention Generality and idiosyncrasy in grammar Syntactic complexity Consequences Summary References Index
Entity resolution using cloud computing

Roles and capabilities of analysts are changing as the volume of data grows. Open-source content is abundant and users are becoming increasingly dependent on automated capabilities to sift and correlate information. Entity resolution is one such capability. It is an algorithm that links entities using an arbitrary number of criteria (e.g., identifiers, attributes) from multiple sources. This paper demonstrates a prototype capability, which identifies enriched attributes of individuals stored across multiple sources. Here, the system first completes its processing on a cloud-computing cluster. Then, in a data explorer role, the analyst evaluates whether automated results are correct and whether attribute enrichment improves knowledge discovery.
Supporting the participation of autonomous mobile robots as players in multimedia performances

Progress in robotics has led to the development of commercial robots, especially entertainment ones, which aspire to become a part of our everyday lives. However, the integration of these devices in significant art and entertainment applications, such as multimedia performances, is especially hard because of the lack of appropriate development environments. The paper seeks to address this problem by describing CHOROS, a Java-based environment that allows authoring and control of multimedia performances involving autonomous mobile robots. Authoring is accomplished through an interface that possesses augmented reality features. A behavior-based controller is responsible for controlling the behavior of the robots during the performance.
Detection of human eye components on the basis of multispectral imaging

In this paper the methods for selecting of the most important parts of the human eyes are described. On the basis of the real 21 channel multispectral images the model of finding the lens and the spot are defined. These methods are based on the most popular algorithms of image processing. The approach to veins detection is still undefined but in the article the most important channels are pointed out and the channel difference between eyelash and the veins are also mentioned.
Web Ontology Language OWL and its description logic foundation

W3C Web Ontology Working Group have been developing the Web ontology language OWL, which is a semantic markup language for publishing and sharing ontologies on the semantic Web. OWL is designed as an extension of RDF/S (resource description framework/schemas) and is derived from the DAML+OIL Web Ontology Language. Its success will depend heavily on its underlying logic foundation, especially description logics (DLs), and reasoning services which can provide. An introduction to OWL and some discussions about relationships between OWL and its underlying description logic is described.
Language Transfer in the Acquisition of Negation: The Case of a Young Salvadoran Child.

ABSTRACT A study examined the acquisition of negation in English as a Second Language in a 4-year-old Salvadoran girl, a native speaker of Spanish. Specifically, the study looked for evidence of language transfer in bilingual acquisition and the direction of that transfer (Spanish to English, English to Spanish). Over 5 months, spontaneous speech (55 samples) was recorded in several natural settings (school, home, and restaurant) and an imitation task method was used to elicit additional language samples (n=100). The syntactic structures studied were negative-verb sequence, "do" inclusion in the verb form, and sentence subject omission. These data were also compared with data from a previous study of monolinguals and bilinguals of the same age. Results indicate that in the case of the first two structures examined, the child had internalized the rules of Spanish negation well enough to influence the use of Spanish negative structures in her English constructions. In the case of sentence subject omission, findings did not indicate a Spanish influence, but rather that she had acquired enough English rules on sentence subject inclusion to influence her use of this structure in both Spanish and English, suggesting a two-way transfer effect. (MSE)
Three predictions are better than one: Sentence multi‐emotion analysis from different perspectives

Emotion prediction has been a core task in affective computing, which aims at finding the thorough human mental states by analyzing people's activities. In this paper, we focus on predicting emotions in the public online blogs from different people, by extracting as many reasonable emotions for each blog sentence as possible. Concretely, we consider three different perspectives for analyzing the multiple emotions in a sentence: (i) predict sentence emotions by examining the emotion related topics in a global sense; (ii) predict the sentence emotions from the context‐sensitive word emotions; and (iii) predict sentence emotions by considering the emotional significance in the local bag of words. We build different probabilistic models from each perspective, to separately generate the sentence emotion probabilities. We then integrate these probabilistic models to jointly predict the emotion probabilities. Because the component models are based on different emotional assumptions with distinct features, the integrated predictions should predict emotions from more general perspectives and therefore yield better results. In the experiment, we employ different evaluation criteria to compare the multi‐emotion predictions from the single and integrated models. Compared to the results in the baseline model, our bi‐integrated models achieve 8.69% higher Micro F1 and 7.78% higher Macro F1 scores, on average. Moreover, our tri‐integrated model acquires 10.00% higher Micro F1 and 9.19% higher Macro F1 scores than the baseline results, which proves our assumption, and suggests interesting features in the different emotion perspectives. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.