Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of a Wireless Control System Network

Wireless communication systems have been a part of everyday life for many decades but implemented in an industrial control system they are yet to make their big breakthrough. This is despite of the fact that wireless control systems show great promise in reducing installation costs and down time. The biggest reason why they have not already revolutionised the industry is reliability, as they are much more susceptible to delays and communication breakdowns compared to their wired counterpart. The foundation for this thesis is the following scenario. In an industry a control loop uses a wireless link between the control computer and the actuator. A forklift moving heavy equipment happens to park in a position where it is blocking the communications. This thesis suggests a solution to this problem through the implementation of two separate measures. First a Collection Tree routing Protocol (CTP) is responsible for detecting broken links and finding a disturbance free path for the packet through the network. Secondly a Kalman filter based Predictive Outage Compensator (POC) estimates the missing data when the real control signal is delayed or missing. In the implementation the Moteiv Tmote Sky was used for the network nodes and the double tank process as test bed for the POC. The results show that the CTP network is capable of routing the data through multiple hops without too much delay and that between 1 and 8 packets are lost during route changes. The POC performs on average 8 % better than the more common and naive solution to simply hold the most recently received value in case of outage.
Perspectives on Merge and Labels

This paper reconsiders so-called freezing effects within Chomsky’s (2004 and sub.) Phase Theory. I argue that freezing (or halting) should not be seen as the consequence of an exocentric {XP,YP} structure in which the heads of XP and YP share some feature (cf. Chomsky 2013, 2015) or as the invisibility of X’ projections (cf. Rizzi 2015). Instead, I submit that A-freezing (Chomsky’s 2000, 2001 Activity Condition) and A-bar freezing (Rizzi’s 2006 Criterial Freezing) should be dealt with by different principles: the former follows from an independently motivated rule of efficient computation (the application of cyclic Transfer; cf. Chomsky 2000, Uriagereka 1999), coupled with Labeling Theory (cf. Chomsky 2013, 2015), whereas the latter is simply syntactically vacuous. In line with previous proposals (cf. Gallego 2009, Epstein, Kitahara & Seely 2016), I claim that XPs in edge positions are not frozen in the narrow syntax (they can always move, unless affected by cyclic Transfer). Nevertheless, such XPs may be part of a configuration and thus receive an interpretation at the semantic component (cf. Chomsky 2001, 2004). Therefore, if they move from an edge, the relevant interpretation at that edge (be it topic, focus, etc.) will be lost, as interpretations of the relevant kind (theta-roles, criterial-roles, etc.) cannot accumulate, which I ultimately attribute to a Principle of Interface Freezing, whose effects can be subsumed under the Principle of Full Interpretation (cf. Chomsky 1986a).
Compositional similarity and β ( beta ) diversity

Spatial variation in species composition is one of the most fundamental and conspicuous features of the natural world. Measures of compositional differentiation and similarity quantify this variation. Conservation biologists apply these measures when setting conservation priorities or evaluating regional conservation plans, and ecologists use them to study the homogenizing or diversifying effects of human activities, natural disturbances, or spatial variability of environmental conditions (McKinney and Lockwood 1999; Olden 2006; Vellend et al. 2007). Measures of similarity and differentiation are also essential tools for evaluating the effects of isolation by distance or geographic barriers, and for describing changes in species composition along environmental gradients. Ecologists aim not merely to describe spatial variation in community composition, but ultimately to understand the causal factors that produce it. Is spatial heterogeneity caused or maintained by disturbances? Do species assemblages converge or diverge in composition over time during succession (Terborgh et al. 1996; Vandermeer et al. 2004)? How do environmental gradients affect the distributions of species (Bray and Curtis 1957; Whittaker 1960, 1972; Tuomisto et al. 1995)? To what extent do compositional differences reflect neutral variation in species abundance due solely to dispersal limitation (Hubbell 2001)? Carefully chosen measures of similarity and differentiation can be connected to appropriate null models to enable hypothesis testing. In ecology, a general approach to assessing compositional differentiation partitions regional diversity (γ) into within(α) and between(β) group components, and derives similarity and differentiation measures from these components. A wide range of similarity, differentiation, and β diversity measures are in common use, reflecting the many ways that assemblages can be said to differ in composition (reviewed by Legendre and Legendre 1998; Vellend 2001; Koleff et al. 2003; Jurasinski et al. 2009; Tuomisto 2010). Here, we provide a conceptual overview of approaches to quantifying compositional similarity and differentiation. We then discuss the fundamental connection between diversity and compositional differentiation, and show how some of the most important and useful similarity and differentiation measures are directly connected to diversity measures through the concept of β diversity.
Neural Word Decomposition Models for Abusive Language Detection

The text we see in social media suffers from lots of undesired characterstics like hatespeech, abusive language, insults etc. The nature of this text is also very different compared to the traditional text we see in news with lots of obfuscated words, intended typos. This poses several robustness challenges to many natural language processing (NLP) techniques developed for traditional text. Many techniques proposed in the recent times such as charecter encoding models, subword models, byte pair encoding to extract subwords can aid in dealing with few of these nuances. In our work, we analyze the effectiveness of each of the above techniques, compare and contrast various word decomposition techniques when used in combination with others. We experiment with recent advances of finetuning pretrained language models, and demonstrate their robustness to domain shift. We also show our approaches achieve state of the art performance on Wikipedia attack, toxicity datasets, and Twitter hatespeech dataset.
Analysis of Arctic Oscillation Simulated by Global Warming Prediction Models

The Arctic Oscillation (AO) is a dominant atmospheric phenomenon characterized as opposing atmospheric pressure patterns between the middle and high latitudes. It is defined as a leading mode of an empirical orthogonal function (EOF1) of the sea-level pressure (SLP) in winter Northern Hemisphere by Thompson and Wallace (1998). Since a long-term variability of surface air temperature associated with the Arctic Oscillation Index (AOI) shows high correlation with the recent global warming, it attracts more attention that the AO is an important research problem in the study of global warming. Miller et al. (2006) analyzed data sets of 14 Atmosphere-Ocean General Circulation Models (AOGCM) for the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC-AR4), indicated that the AOI exhibits a positive trend in response to increasing concentrations of greenhouse gases and tropospheric sulfate aerosols. Hori et al. (2007) also exhibited that the gradual trend in the AO is not a result of enhanced natural variability of the AO dynamics itself, but rather a result of the large anthropogenic forced liner trend projected onto the mean climatological state of the Arctic region. Meanwhile, Tanaka and Matsueda (2005) concluded that the AO is a physical mode of a dynamical system for the global atmosphere using the barotropic general circulation model. It was reported by Yukimoto and Kodera (2005) that the ensemble mean of the Meteorological Research Institute (MRI) climate model experiments in the 20th century reflects a response to external forcing, while the deviations from the ensemble mean for each member are considered as internal variability.Interestingly, both of internal variability and the response to external forcing show the AO as the most dominant mode. In this study, we analyze the AO simulated by the dataset of 10 AOGCM for IPCC-AR4 referring to Hori et al. (2007), and reveal features and factors of the AO with global warming conducting the similar analysis as Yukimoto and Kodera (2005).
Desarrollo de una herramienta software para el control de un sistema de fenotipado basado en visión artificial

espanolLos sistemas basados en vision ar tificial permiten automa tizar el proces o de fenotipado de los sistemas biologicos. Estos sistemas permiten capturar grandes cantidades de datos de forma rapida y con un bajo coste asociado. Hemos desarrollado una herramien ta software flexible para el fenotipado basada en vision artificial. La herramienta controla los parametros del experimento: dias de experimento, hor as dia/noche, permite la utilizacion de diferen tes tipos de camaras, etc. La herramienta ha sido pr ogramada en C++ lo que ha permitido integrar y ejecutar diferentes algoritmos de procesado de ima gen de librerias como OPENCV y MIL. EnglishComputer vision systems a llow to automate the process of obtai ning phenotypic fea tures in plants. These systems produce large amounts of data in a quick fash ion and with a low associated cost. In this work we present a flexible software tool for phen otyping analysis based on computer vision. The tool allows a total management of the experimen t parameters such as experiment time, hours of night-time and daytime periods or use of different cameras with time of image acquisition. The system has been programmed in C++ allowing it to be applied in different co mputer environments, using different computer vision algo rithms to perform image processing
DISTRIBUTED SENSOR APPLICATIONS FOR CIVIL INFRASTRUCTURE MONITORING AND SENSING RICH APPROACH TO THE DESIGN OF MODERN MECHATRONIC SYSTEMS

Sensor technology is having a dramatic effect on improving the performance for a wide scale of engineering systems. In the first part of the paper advances in sensors sensor networks on large-scale civil infrastructure are examined. The civil infrastructure includes constructed facilities such as for transportation, water resources, and the built environment, particularly in densely populated urban regions. A wireless sensor network with time synchronization and reliable data transfer is developed and applied to structural health monitoring of bridges. The second part of this paper explores advantages of aggressive usage of sensors in the design and operation of mechatronic systems, i.e. sensing rich approach. Two examples of such approaches are the power transmission mechanism or drive train under servo control and the fault diagnosis and identification for vehicles for automated driving. Aspects of distributed sensor systems for civil infrastructure and mechatronic systems will be identified and suggestions made for future research that will leverage new developments for a wide range of engineering applications
Title : Biochar as a Tool for Climate Change Mitigation and Soil Management

1 Glossary 1 2 Definition of the Subject 2 3 Introduction 3 4 What is biochar and how can it contribute to carbon mitigation? 4 5 Biochar production 8 6 Properties of biochar 12 7 Carbon mitigation potential of alternate production technologies 15 8 Evaluating carbon abatement from biochar 20 9 What are the Impacts of Biochar on Soil? 37 10 Conclusion: Evaluating the Sustainability of Pyrolysis-Biochar Systems 49 11 Future Directions for Research, Development and Demonstration 50 12 References 53
Utilizing Digital Educational Games to Enhance Adult Learning

As adult educators, we strive to facilitate learning using a variety of teaching strategies that engage learners. Learning by doing is a powerful method that combines both application and practice to address the needs and motivations of adult learners. Digital educational games provide one type of an engaging instructional strategy for adult learners that can be delivered in both synchronous and asynchronous learning environments. Digital educational games are not something new, however, as they were developed soon after the first computer games (Wolfe & Crookall, 1998). Additionally, game-based educating has been used in many adult learning contexts, including the corporate environment to train staff in financial and economic skills, and in the military system for combat and strategy training (Whitton & Hollins, 2008). Despite these successful applications, there is a lack of recognition of digital educational games as a significant instructional method for the adult learner (Connolly, Boyle, MacArthur, Hainey, & Boyle, 2012; Gros, 2007). In this chapter, we review the research literature on adult learning via games in terms of learner motivation and engagement, specifically focusing on adult learning in the online environment. We will define key terms and essential characteristics of educational games, share best practices for developing and designing engaging educational games as an instructional strategy, and discuss the types of learning outcomes that can be achieved through the use of effective educational games, concentrating on adult learners in the online environment.
REGULATORY CAPTURE IN THE CONTEXT OF THE IRISH REGULATORY FRAMEWORK

Niamh Callaghan looks at the overall regulatory framework of the transport sector in Ireland, and reveals how prone it is to regulatory ‘capture’ by interest groups who often compete with each other to do so. She also demonstrates the benefits that have accrued from deregulation, for example in the Irish taxi industry, despite the resistance to embrace competition on the part of Irish regulatory authorities.
Optical Pipelined Multi‐bus Interconnection Network Intrinsic Topologies

Digital all‐optical parallel computing is an important research direction and spans conventional devices and convergent nano‐optics deployments. Optical bus‐based interconnects provide interesting aspects such as relative information communication speed‐up or slow‐down between optical signals. This aspect is harnessed in the newly proposed All‐Optical Linear Array with a Reconfigurable Pipelined Bus System (OLARPBS) model. However, the physical realization of such communication interconnects needs to be considered. This paper considers spatial layouts of processing elements along with the optical bus light paths that are necessary to realize the corresponding interconnection requirements. A metric in terms of the degree of required physical constraint is developed to characterize the variety of possible solutions. Simple algorithms that determine spatial layouts are given. It is shown that certain communication interconnection structures have associated intrinsic topologies.
Content-based Recommender System for Movie Website

Recommender System is a tool helping users find content and overcome information overload. It predicts interests of users and makes recommendation according to the interest model of users. The original content-based recommender system is the continuation and development of collaborative filtering, which doesn’t need the user’s evaluation for items. Instead, the similarity is calculated based on the information of items that are chose by users, and then make the recommendation accordingly. With the improvement of machine learning, current content-based recommender system can build profile for users and products respectively. Building or updating the profile according to the analysis of items that are bought or visited by users. The system can compare the user and the profile of items and then recommend the most similar products. So this recommender method that compare user and product directly cannot be brought into collaborative filtering model. The foundation of content-based algorithm is acquisition and quantitative analysis of the content. As the research of acquisition and filtering of text information are mature, many current content-based recommender systems make recommendation according to the analysis of text information. This paper introduces content-based recommender system for the movie website of VionLabs. There are a lot of features extracted from the movie, they are diversity and unique, which is also the difference from other recommender systems. We use these features to construct movie model and calculate similarity. We introduce a new approach for setting weight of features, which improves the representative of movies. Finally we evaluate the approach to illustrate the improvement.
Anomaly Detection on Time Series Data

Anomaly detection is an important problem that has been researched within diverse application domains. Detection of anomalies in the time series domain finds extensive application in monitoring system status, mal-ware/spam detection, credit-card fraud etc. In this work we explore methods to detect anomalies in multivariate as well as uni variate time-series and proposed a novel method using Dictionary Learning, Sparse Representation, Singular Value Decomposition and Topological anomaly detection(TAD). We have tested the proposed method on real as well as synthetic data sets. Our novel method brings down the false positive rates as compared to the existing methods.
Cordiality in the Context of Duplication in Helm and Closed Helm

Let G = (V (G), E(G)) be a graph and let f : V (G)→ {0, 1} be a mapping from the set of vertices to {0,1} and for each edge uv ∈ E assign the label |f(u) − f(v)|. If the number of vertices labeled with 0 and the number of vertices labeled with 1 differ by at most 1 and the number of edges labled with 0 and the number of edges labeled with 1 differ by at most 1, then f is called a cordial labeling. We discuss cordial labeling of graphs obtained from duplication of certain graph elements in helm and closed helm. MSC: 05C78.
THE WCRP CMIP 3 MULTIMODEL DATASET A New Era in Climate Change Research

The history of climate change modeling was first characterized in the 1980s by a number of distinct groups developing, running, and analyzing model output from their own models with little opportunity for anyone outside of those groups to have access to the model data. This was partly a consequence of relatively primitive computer networking and data transfer capabilities, along with the daunting task of collecting and storing such large amounts •
Izanagi-Pacific ridge subduction revealed by a 56 to 46 Ma magmatic gap along the northeast Asian margin

Recent studies have debated the timing and spatial configuration of a possible intersection between the Pacific-Izanagi spreading ridge and the northeast Asian continental margin during Cretaceous or early Cenozoic times. Here we examine a newly compiled magmatic catalog of ∼900 published Cretaceous to Miocene igneous rock radioisotopic values and ages from the northeast Asian margin for ridge subduction evidence. Our synthesis reveals that a near-synchronous 56–46 Ma magmatic gap occurred across ∼1500 km of the Eurasian continental margin between Japan and Sikhote-Alin, Russian Far East. The magmatic gap separated two distinct phases of igneous activity: (1) an older, Cretaceous to Paleocene pre–56 Ma episode that had relatively lower εNd(t) (−15 to + 2), elevated (87Sr/86Sr)0 (initial ratio, 0.704–0.714), and relatively higher magmatic fluxes (∼1090 km2/m.y.); and (2) a younger, late Eocene to Miocene post–46 Ma phase that had relatively elevated εNd(t) (−2 to + 10), lower (87Sr/86Sr)0 (0.702–0.707), and a lower 390 km2/m.y. magmatic flux. The 56–46 Ma magmatic gap links other geological evidence across northeast Asia to constrain an early Cenozoic, low-angle ridge-trench intersection that had profound consequences for the Eurasian continental margin, and possibly led to the ca. 53–47 Ma Pacific plate reorganization.
Ameliorative role of some antioxidant compounds on physiological parameters and antioxidants response of wheat ( Triticum aestivum L . ) seedlings under salinity stress

Salinity is the most important stresses that reduce growth and yield of wheat plant. In order to study effect of salinity only as well as presence of antioxidants (β-carotene, glutathione, uric acid) individually or in combination of both on growth and some related physiological activities of wheat plant an experiment was conducted completely randomized design with three replications. The decreased levels of seed germination and growth alterations induced by NaCl were alleviated by various levels of antioxidants. Application of antioxidants led to significant differences between responses of antioxidant defense system either non-enzymatic {glutathione and ascorbate} or enzymatic {catalase (CAT), ascorbate peroxidase (APX), Superoxide dismutase (SOD) and Glutathione reductase (GR)}. Protein profile of T. aestivum show variations in the number appearance, disappearance of bands, and variation in the protein content in each band compared to control and to the percentage of each band in the same sample and finally its molecular weight. When treated with NaCl or in combination with antioxidant the organic solutes of wheat seedlings exhibited somewhat variable responses to the salinity levels. [Khaulood A. Hemida, Refaat M. Ali, Wael M. Ibrahim and Makram A. Sayed. Ameliorative role of some antioxidant compounds on physiological parameters and antioxidants response of wheat (Triticum aestivum L.) seedlings under salinity stress. Life Sci J 2014;11(7):324-342]. (ISSN:1097-8135). http://www.lifesciencesite. com. 38
Practical Internet Steganography : Data Hiding in IP

This paper investigates practical techniques and uses of Internet steganography. Internet steganography is the exploitation of Internet elements and protocols for the purpose of covertly communicating supplementary data. Each scenario facilitates the interaction of fundamental steganographic principles with the existing network security environment to more generally bridge the areas of data hiding, network protocols and security.
OTIMIZAÇÃO E ANÁLISE CONVEXA:

Convex Optimization is a special class of problems in mathematical optimization where the cost function and the feasible set are both convex. There are several efficient and trustable methods, mainly interior–point methods, to solve problems like these. This is due to the well developed theory they are based on and to their frequent occurrence in practical applications. Classical problems of convex optimization and their applications are to be analysed. Este projeto contou com o apoio da FAPESP. FEEC-Unicamp. e-mail: ra071855@fee.unicamp. br DMA-IMECC-Unicamp. e-mail: cheti@ime.unicamp. br
The Correlation Model among Service of Medical Quality , Operation Performance , Post-purchase Intentions and Job Satisfaction under National Health Insurance---The Case of Three Hospitals in Tainan Metropolis

This study examined the Correlation Model among Service of Medical Quality, Operation Performance, job satisfaction and Post-purchase intentions under National Health Insurance. A total of 270 outpatients and hospital staff from three hospitals in Tainan, Taiwan were interviewed. Results showed that there is correlation between quality of medical service and operation performance. In addition, there is a relation between quality of medical service and post-purchase intentions.