Miracle-dz/UniFAR-FTUs huggingface dataset:
COMPARISION AND COMBINATION OF MINING TECHNIQUES FOR GENE ANALYSIS TO IDENTIFY DENGUE

Data Mining is focused on deriving knowledge from multiple data formats using intelligent analytics techniques. Data mining is a field having various techniques that converts the raw data into useful information in various research fields. There are two primary goals for data mining prediction and description. Prediction involves fields or variables in the data sets to predict unknown or future values of other diseases possibilities. On the other hand description involves finding of pattern describing the data that can be present in knowledge base provided for disease prediction. We can predict diseases like hepatitis, Lung cancer liver disorder, breast cancer or heart diseases, diabetes etc, it helps in finding the patterns to decide future trends in medical field. We can use in finding the knowledge and prediction, detection of Dengue as well.
POST-GRADUATE PROGRAM IN PHYSICS UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL

Friction is an extremely ubiquitous phenomenon, to the point that most of the time we do not realize how it affects our lives, from tiny details to fundamental aspects. It is usually regarded as a nuisance related with the loss of energy and wear of machine parts, but without it, we would not hear the violin, the nails would be useless, and life could not be possible because in a wearless regime, the thermal equilibrium would be unattainable. The current experimental techniques able to study friction forces, opened a new field of research involving atomic length scales, called nano-tribology. Despite this, the microscopic origin of friction force remains mostly unsolved until date. In this PhD thesis, was studied the basis of the origin of the friction force, first investigating its dependence with the velocity through the well-known Prandtl-Tomlinson model for zero temperature. The essence of the energy exchange that could explain the emergence of friction was investigated by the dynamics between two particles. One attached to a spring and the other sliding in its direction with a certain speed. The interaction between them represented by Gaussian potential (short range). To simulate a more realistic substrate, the springparticle system was extended to a periodic arrangement of particles, independent between them, and the particle that was thrown against it was replaced by a tip, generally used to scan the surfaces on the atomic force microscope. The main used technique was molecular dynamics, an ideal tool to address the study the dynamics of many particles classical systems.
COMBINING NETWORK THEORY WITH CORPORATE GOVERNANCE: CONVERGING MODELS FOR CONNECTED STAKEHOLDERS

JEL Classification: G32, K22, M13, M21, O31 DOI: 10.22495/cocv17i1art12 Traditional corporate governance patterns are based on the interaction among composite stakeholders and the various forms of separation between ownership and control. Stakeholders cooperate around the Coasian firm represented by a nexus of increasingly complex contracts. These well-known occurrences have been deeply investigated by growing literature and nurtured by composite empirical evidence. Apparently, unrelated network theory is concerned with the study of graphs as a representation of (a)symmetric relations between discrete objects (nodes connected by links). Network theory is highly interdisciplinary, and its versatile nature is fully consistent with the complex interactions of (networked) stakeholders, even in terms of gametheoretic patterns. The connection between traditional corporate governance issues and network theory properties is, however, still under-investigated. Hence the importance of an innovative reinterpretation that brings to “network governance”. Innovation may, for instance, concern the principal-agent networked relationships and their conflicts of interest or the risk contagion and value drivers – three core governance issues. Networks and their applications (like blockchains, P2P platforms, game-theoretic interactions or digital supply chains) foster unmediated decentralization. In decentralized digital platforms stakeholders inclusively interact, promoting cooperation and sustainability. To the extent that network properties can be mathematically measured, governance issues may be quantified and traced with recursive patterns of expected occurrences.
Assessing Nitrogen Limitation in Inoculated Soybean in Southern Brazil

V.G. Ambrosini and C. Bayer, Programa de Pós-Graduação em Ciência do Solo, Dep. de Solos, Univ. Federal do Rio Grande do Sul (UFRGS), 7712 Bento Gonçalves Ave, 91540000, Porto Alegre, Rio Grande do Sul, Brasil; S.M. V. Fontoura and R.P. Moraes, Fundação Agrária de Pesquisa Agropecuária, Rod. PR-540, km 09, Colônia Vitória–Entre Rios, Guarapuava, Paraná, Brasil; and W. Carciochi and I.A. Ciampitti, Dep. of Agronomy, Kansas State Univ., 2004 Throckmorton Plant Science Center, Manhattan, KS 66506.
Introducing a new tool to navigate, understand and use the International Code of Zoological Nomenclature

Supplementary Information This supplementary information file contains detailed information on the methods used in this work, including a detailed analysis on the conceptual framework on how the Code has been successfully transformed into a network (Supplementary File 1). Then, the main results of the analysis are given, with emphasis in network properties and calculated metrics (Supplementary File 2). Supplementary File 3 contains an example on how the Code could be re-organized to create subsets on some topics. Finally, basic instructions on how to use this tool are inserted in the end of the file (Supplementary File 4).
Developing Purposeful AI Use Cases - A Structured Method and Its Application in Project Management

An appropriate problem-solution-fit is essential to develop purposeful artificial intelligence (AI) applications. However, in domains with an unintuitive problem-solution-fit, such as project management (PM), organizations require methodological guidance. Hence, we propose a five-step method to develop organization-specific AI use cases: First, companies must consider the context factors technology, organization (in particular data and application domain), and environment. Second, companies must identify existing domain problems and AI solutions. Third, our method facilitates abstraction to understand the underlying nature of the identified problems and AI solutions. Fourth, our problem-solution-matrix assists companies to match AI functions with the domain context. Fifth, companies derive necessary implications for the subsequent use case implementation. To construct and evaluate our method, we followed the design science research paradigm complemented by situational method engineering and based on 14 interviews. Our method addresses a relevant practical problem and contributes to identifying purposeful AI use cases in unintuitive application domains.
The Complexity of Digital Transformation - Conceptualizing Multiple Concurrent Initiatives

Currently, companies launch digital transformation initiatives (DTI) to cope with technological changes, challenging competitive environments, increasing customer demands, and other digitalization challenges. The DTI spectrum is broad and covers structural changes (e.g. dedicated digital units) as well as contextual changes (e.g. overarching cultural change programs). Often companies launch multiple concurrent DTIs resulting in considerable organizational complexity. However, research on how to manage the interplay of DTIs successfully is still scarce. Therefore, we distinguish three coordination aspects (i.e. strategic alignment, governance, communication & culture) to manage DTIs’ interplay. Drawing on organizational and IS research as well as on a single case study with eight interviews, we conceptualize DTIs as manifestations of digital transformation. We show that multiple concurrent DTIs can foster structural and contextual ambidexterity, i.e. leading to hybrid ambidexterity in organizations. Thereby, we contribute to a better understanding of DTIs, their interplay, and their value to increase hybrid ambidexterity.
The Chest CT scan- Don’t stop at the first glance, it’s the little things that matter

Poster: "ECR 2019 / C-3136 / The Chest CT scan- Don’t stop at the first glance, it’s the little things that matter" by: "C. Desiderio1, M. Palermo1, F. Tiralongo1, G. Distefano2, S. Seminatore1, L. A. Mauro1, P. V. Foti1, A. Basile1, S. Palmucci1; 1Catania/IT, 2Ragusa/IT"
Analysis of Single Phase Moisture and Heat Model of Food Drying

Single phase heat and mass models have been widely used to describe the movement of water and heat during drying. In order to reduce the number of parameters and minimise computer time on the problem, reported and non-reported non-dimension numbers have been used. However, very limited research has been done to analyse the sensitivity of these numbers. In this paper, non-dimension analysis of the mathematical model applicable to drying food is discussed. The model combines the principles of mass balance with heat balance for the movement of moisture and heat. Numerical solutions are presented corresponding to one-dimensional food tissues with constant diffusivity. The main finding of the model is the ability of equations with constant properties to represent the movement of moisture and temperature inside the fruit and, consistent with experiment findings, results providing physical contents are assigned appropriate numerical values. Key–Words: heat, mass, sensitivity, diffusivity.
Cost per Click and Clicks Prediction in Autobidding System

Online advertisement is the main source of revenue for most online companies. What is crucial in this market is not only the quality of ads or targeting the right users, but being competitive on prices for click or action for every interaction with the users. In our scenario, advertisers set a monthly budget to be spent in ads. The objective is to fully utilize the available budget, and at the same time maximize the value in terms of click conversion rate. The purpose of this work is to improve predictions for click and cost per click for new potential advertisers whether they decide to go with a higher or lower budget. Displaying a more accurate prediction on our subscription page would lead at increasing the number of advertisement contracts, better trust from customers, and increased long-term value. An exploration of different possible models has been carried on in order to create a linear relation between budget and cost-per-click for each advertiser. In the end, a single model capable of predicting discrete click values at specific budget values has been chosen, and it is ready to be deployed in production. This model presented better offline performances than the previous model, with on average twenty percent improved performance. In parallel with this research, a small research on the new autobidding system that would guarantee a faster reaction to our advertisement landscape changes. This system will simulate real-time updates. In order to support faster bid value changes, a work on the system infrastructure has been studied and deployed. Dedicated to my family and friends who support and encourage me everyday.
UNIVERSITY OF NAIROBI INVESTIGATION OF FORECASTING POTENTIAL OF AIRCRAFT WEATHER HAZARDS OVER KENYA USING NUMERICAL MODEL BY FRANCIS JAGERO (I56/82715/2015) DEPARTMENT OF METEOROLOGY UNIVERSITY OF NAIROBI

iii TABLE OF CONTENTS . iv LIST OF FIGURES . vi LIST OF TABLES . viii LIST OF ACRONYMS . ix CHAPTER ONE . 1 1.0 INTRODUCTION . 1 1.2 Research Problem . 2 1.3 Study Objectives . 2 1.4 Hypothesis . 3 1.5 Justification and Significance of the Research . 3 1.6 Area of Study . 3 CHAPTER TWO . 6 2.0 LITERATURE REVIEW . 6 2.1 Visibility/Ceiling and Clouds. 6 2.2Thunderstorms . 7 2.2.1 Lightning . 9 2.2.2 Wind shear . 10 2.2.3 Aircraft Icing . 10 2.2. 4 Turbulence . 11 2.3 Conceptual Framework . 11 CHAPTER THREE . 14 3.0 DATA AND METHODOLOGY . 14 3.1 Data . 14
Synthesis, magnetic properties and enhanced photoluminescence of Fe3O4-ZnO heterostructure multifunctional nanoparticles

In this paper, Fe3O4-ZnO heterostructure multifunctional nanoparticles (NPs) were successfully prepared in aqueous solution by ultrasound assisted thermolysis. First, iron oxide (Fe3O4) magnetic NPs were prepared by co-precipitation method. The Fe3O4 NPs were modified by 3-aminopropyltriethoxysilane (APTES) to have free amine (-NH2) groups on their surface, then, Zn 2+ ions were added and stirred to adsorb onto the surface of Fe3O4-NH2 NPs in alkaline solution at a pH of 11. This solution was decomposed through thermolysis in ultrasound bath. The results of measurements show that photoluminescence of Fe3O4-ZnO heterostructure multifunctional NPs was enhanced in visible light at 565 nm wavelength to allow detection, labeling, diagnosis, and therapy in biomedicine. Moreover, they exhibit superparamagnetic properties of Fe3O4 with high saturation magnetization (MS), which can be used for seperation application in biomedicine under an external magnetic field.
Kalpa Publications in Computing

Modern Text Mining techniques seek for extract information in useful formats such as georeferences in digital documents. Automatic recognition of location names in texts is usually solved through Named Entity Recognition (NER) systems. Most current NER are based on Machine Learning and have very high accuracy in detection of location entities in digital documents, especially if the texts are in English due to the lack of available annotated corpora in other languages. However, recent studies are dealing with the challenge of taking the output labels of a NER system and then gather, from a gazetteer, their exact unambiguous geographical coordinates. This is challenging mainly because toponyms use to be very ambiguous, so research in disambiguation methods is relevant. In this paper we describe some of the main ideas towards a method to associate locations with geographical data removing possible confusion between entities with the same name. So far, we have already accomplished Geographic NER and coordinates retrieval but the main research is still in course. We largely discuss about the state of the art around Geoparsing; we explain how our Geographic Entity Recognition module works and finally we describe the research proposal focusing in ambiguity detection.
A Cross-Sectional Analysis of Functional Movement Screen Scores in Male AAA Minor Hockey Players

The Functional Movement Screen (FMS) has been used as a screening tool to assess inefficiencies and asymmetries associated with movement patterns that could potentially lead to injury risks in athletic populations (Kiesel, Plisky, & Voight, 2007; Parenteau-G et al., 2014; Mokha et al., 2016). The primary purpose of the study was to compare FMS scores across four hockey-specific chronological age groups and five stages of maturity in adolescent male ice-hockey players. The secondary purpose of the study was to determine if years of experience in a specific sport, correlated with movement pattern asymmetries. One hundred and eleven male (9-17 years) AAA players completed a battery of physical measurements including; height (cm), weight (kg), grip strength (kg), sit and reach (cm) and the FMS. FMS scores were analyzed by total score (TS), FMS subgroups (FMS movement, FMS flexibility and FMS stability), frequencies of individual movement pattern scores and left/right asymmetries. Significant differences in FMS TS were revealed across both chronological age, categorized by hockey age groups (F (3,107) = 7.002), p<. 001 and stage of maturity (F (4,106) = 4.790), p<. 001, suggesting that FMS TS improved with both age and physical maturity. However, ANCOVA results revealed no significant differences across hockey age groups (F (3,106) =1.917), p=. 131, when maturity was entered as a covariate, suggesting that maturity did not influence FMS TS beyond the effect age. FMS sub-groups revealed significant differences in FMS move and FMS stab across both hockey age group and stage of maturity. No significant differences were found in the frequencies of individual screen scores or left/right asymmetries across hockey age groups or stages of maturity. Therefore, the results did not support the assumption of hockey being a significant unilateral training stimulus.
Towards the identification of miRNAs targeting the translational machinery as novel cancer therapeutics

Increased protein production is a prerequisite for cell proliferation, thus rendering translation and ribosome deregulation a common hallmark of cancer cell biology. A frequently observed mechanism in malignancies is the overactivation of the translational process. As a consequence, strategies that selectively target the ribosomal machinery bear significant promise as cancer therapeutic approaches. To this end, this report provides a workflow for the identification of novel miRNA molecules with the ability to target and suppress ribosomal activity in cancer cells.
Evaluation of an herbal choline feed plant additive in lamb feedlot rations

ABSTRACT An experiment was carried out to evaluate the effect of an herbal choline feed plant additive on the productive parameters and blood metabolites of finishing lambs. Forty male Hampshire × Suffolk lambs (initial body weight of 30.36±3.75 kg) were assigned according to a completely randomized design. Treatments consisted of dietary inclusion of the herbal additive BioCholine at 0, 3, 6, and 9 g/kg dry matter for 56 days. A linear response for herbal choline dose was observed for daily [. ]
Taking back control? How domestic ministries respond to the autonomizing effect of European Regulatory Networks

Abstract This paper discusses the effects of European Regulatory Networks on the organizational autonomy of participating National Regulatory Agencies. Based on a broader concept of the term autonomy than hitherto applied in the literature on this topic, this paper examines whether national governments have introduced additional control mechanisms on National Regulatory Agencies to compensate for their increased autonomy due to their participation in European Regulatory Networks. The semi-structured interviews, conducted in the Dutch Authority for Consumer and Market and its oversight ministry, have led to a rejection of the hypothesis. There is no evidence that the Dutch Ministry of Economic Affairs and Climate has introduced additional control mechanisms to compensate for the increased autonomy of the Authority for Consumer and Market, gained from participation in the European Competition Network. Nevertheless, this paper provides a stimulating starting point for further research.
DEGREE PROGRAMME IN COMPUTER SCIENCE AND ENGINEERING

In order to implement correct security countermeasures, one must understand the current situation in the network. Gaining situational awareness supports the user in making proper decisions while facing security incidents, thus, it is crucial that security information is gathered from the host systems at the highest accuracy. In addition, the data gathering should correspond to the current needs that may vary from host to host. This thesis presents a tool to remotely manage and conduct adaptive security measurements on multiple hosts. Moreover, the tool can be used to visualize the measurements in real time. The focus of this thesis is to introduce adaptive security measurements. The usability and the requirements of the tool are evaluated in three scenarios. The adaptive aspect of the tool optimises the data gathering and resource usage for the changes in the host environment. In addition, the tool supports user-created security measurements to gather specific data from the host. Therefore, a more accurate image of the current situation can be obtained. The tool provides the common functions of security-measuring instruments to aid users in the process of implementing new measurements. Increased security information gives users a better understanding of the current security level.
A rational approach of early humane endpoint determination in a murine model for cholestasis.

Reduction of animal suffering during in vivo experiments is usually ensured by continuously monitoring the health status using a score sheet and by applying humane endpoints. However, most studies do not evaluate the plausibility of score sheets and do not attempt to reduce the suffering of animals by determining earlier and therefore more humane endpoints. The present study uses data assessed from BALB/cANCrl mice after bile duct ligation to retrospectively analyze which score sheet criteria are informative to determine humane endpoints. The performance of each single as well as combinations of multiple animal welfare parameters was analyzed by a Cox proportional-hazards model followed by Harrell's concordance index. The addition of behavioral parameters, such as burrowing activity, helped to define a more humane early endpoint for euthanizing these animals. Using this approach, we determined that a body weight loss of 10-20 % combined with a reduction of burrowing activity by more than 79.4 % was able to predict that these animals died within two days. Thus, this approach successfully determined an earlier humane endpoint and will therefore reduce the suffering of animals in future experiments. A consequent application of such an approach or similar methods will contribute to the refinement of various animal experiments.
Freedom, Freedom... but What Kind of Freedom? Intrinsic and Extrinsic Sense of Freedom as Predictors of Preferences for Political Community and Attitudes Towards Democracy

In theoretical considerations on democracy freedom is sometimes understood in unconditional and conditional terms. This general distinction underlies I. Berlin's concept of negative and positive freedom, and E. Fromm's concept of 'freedom from' and 'freedom to'. The authors of this paper introduce the concept of extrinsic and intrinsic sense of freedom which is meant to be psychological representation of the philosophical distinction on unconditional and conditional freedom, respectively. An extrinsic freedom results from a lack of external restrictions/barriers, whereas intrinsic freedom is based on the belief that being free means compatibility between one's own actions and preferred values, life goals or worldview. Based on nationwide survey data, the authors show that both forms of freedom are embedded in entirely different basic human values and moral intuitions. Further, it is shown that intrinsic freedom negatively predicts liberal orientation and clearly favors communitarian orientation, whereas extrinsic freedom clearly favors liberal orientation. The authors argue that both forms of experiencing freedom have different effects on support for the principles of liberal democracy. The positive effect of extrinsic freedom is indirect, i.e., entirely mediated by liberal orientation. On the other hand, the effect of intrinsic freedom can be decomposed into three components: a) as a positive direct effect, b) as a positive indirect effect (by strengthening the communitarian orientation), and c) as a negative indirect effect (by weakening the liberal orientation). In conclusion, the consequences of intrinsic and extrinsic freedom are discussed in the light of their relationships with support for democratic principles.