Miracle-dz/UniFAR-FTUs huggingface dataset:
A cross sectional study to assess clinical profile of acne vulgaris presenting to a tertiary care teaching hospital

Background: Acne is one of the most commonly prevalent skin conditions. It commonly affects the adolescents and young adult age groups. The lesions start as microcomedones and progress to nodular or inflammatory acne with post inflammatory hyperpigmentation. Although acne is not life threatening it has multiple impacts in the affected individual’s quality of life and psychological morale. Hence this study was undertaken to analyze the clinical profile of patients having acne vulgaris to facilitate better management. Materials and methods: A cross sectional observational study was conducted among patients attending the dermatological outpatient department in a tertiary care hospital. A pre-tested semistructured questionnaire was administered to the individuals after obtaining informed written consent. Data on demographical variables, menstrual history and clinical features of acne were collected and presented. Results: A major proportion of the population was comprised of adolescents and young adults similar to previous studies. Around 13% of them had a positive family history of acne. Associated factors such as menstrual flare, increased consumption of dairy products and high glycemic index foods were also present. Almost 88% of the participants had mild acne. Half of them had post inflammatory hyperpigmentation. Conclusions: Most patients of acne vulgaris are either adolescents or young adults. This group is more prone to endocrine co-morbidities such as polycystic ovarian syndrome and impairment in quality of life. Hence considering the above factors, early diagnosis and management of acne vulgaris B.M. Monisha, G. Kannan, Muthusamy. A cross sectional study to assess clinical profile of acne vulgaris presenting to a tertiary care teaching hospital. IAIM, 2018; 5(5): 111-116. Page 112 is essential. This is expected to yield better results in the long term in improving the quality of life in the affected persons.
- 1-Development of androids for studying on human-robot interaction

Both the appearance and behavior of the robots are significant issues in the development of humanoids. However, designing the robot’s appearance, especially to give it a humanoid one, was always a role of the industrial designer. To tackle the problem of appearance and behavior, two approaches are necessary: one from robotics and the other from cognitive science. The approach from robotics tries to build very humanlike robots based on knowledge from cognitive science. The approach from cognitive science uses the robot for verifying hypotheses for understanding humans. We call this crossinterdisciplinary framework android science. This paper mainly introduces the developed androids as the test bed.
An Experiment with the CRF + + Parts of Speech ( POS ) Tagger for Odia

Pitambar Behera, M.A., B.Ed., M.Phil., Ph.D. ==================================================================== Abstract This research work presents a probability-based CRF++ parts of speech (POS) tagger for Odia language. A corpus of approximately 600k tokens has been annotated manually in the Indian Languages Corpora Initiative (ILCI) project for Odia. The whole Odia corpus has been annotated based on the Bureau of Indian Standards (BIS) tagset developed by the DIT, govt. of India with some modifications under the ILCI. The tagger has been trained and tested with 2, 36, 793 and 1, 28, 646 tokens respectively. It provides 94.39% accuracy in the domain of seen data and 88.87% in the unseen dataset in precision and recall measures. In addition, this study further conducts an IA (inter-annotator) agreement, an error analysis to figure out salient erroneous labels committed by the automatic tagger and provides various suggestions to improve its efficiency. Furthermore, this study also provides the user-interface architecture and its functionalities.
A Numerical Study on the Effects of N2 Dilution on the Flame Structure and Temperature Distribution of Swirl Diffusion Flames

 Abstract—The numerical modeling is performed to study the effects of N2 addition to the fuel stream on the flame structure and temperature distribution of methane-air swirl diffusion flames with different swirl intensities. The Open source Field Operation and Manipulation (OpenFOAM) has been utilized as the computational tool. Flamelet approach along with modified k-ε model is employed to model the flame characteristics. The results indicate that the presence of N2 in the fuel stream leads to the flame temperature reduction. By increasing of swirl intensity, the flame structure changes significantly. The flame has a conical shape in low swirl intensity; however, it has an hour glass-shape with a shorter length in high swirl intensity. The effects of N2 dilution decrease the flame length in all swirl intensities; however, the rate of reduction is more noticeable in low swirl intensity.
'THE EU, CONFLICT RESOLUTION AND THE CASE OF CYPRUS'

Taking the Cyprus conflict as a case study, this article aims to utilise the literature on EU bordering practices to explain the EU’s ability to manage and resolve conflict and to explore more precisely how perceptions of the EU as a normative construction by conflict parties affect the EU’s ability to transform EU hard borders with negative influence, into open frontiers, with potentially more positive influence in conflict situations. It argues that such a dual approach can capture, in a more complex way, the dynamics of EU impact through providing an understanding of precisely how differentiated interpretations of EU norms amongst conflicting parties, inside and outside, hinder or enable the movement to open frontiers. Through locating the Cypriot conflict in such a way, more specificity is provided in analysing the conditions under which the EU can intervene positively to resolve conflict. Paper prepared for the GARNET Conference, ‘The EU in International Affairs’, Brussels, 24-26 April 2008, Panel VIII.2, ‘The EU and Conflict Resolution I’ First Draft. Comments welcome! Dr George Christou Department of Politics and International Studies Coventry CV4 7AL Tel: +44 (0) 24 765 23110 E-mail: g.christou@warwick.ac. uk
Modeling the Dynamics of WeChat Social System

e phenomena in social systems, just like many laws of nature, are of dynamic origins. For the rst time, we systematically summarize our experiences in dealing with dynamic phenomena/data in WeChat social system, which is one of the largest, most complex social systems in the real world. A framework is proposed, which covers the pipeline of dealing with complex data, complex phenomena, complex mechanisms, a spectrum of methodologies, and various applications. By following our framework, we discuss four main aspects of dynamics in WeChat social system, including human dynamics, network dynamics, group dynamics and cascade dynamics. We abstract the data structures from the digital logs, investigate the phenomena we observed from the data, explain the possible mechanisms governing the phenomena, and give models we design according to our methodology spectrum to answer various “WHEN” related questions. We illustrate the “research network” underlying our framework when applied to four dynamic scenarios. Typical applications are summarized and illustrated. e framework we give could potentially guide future researches on social dynamics related problems, sheding light on modeling and designing data structures, explaining observed phenomena, inferring possible mechanisms, choosing and designing dynamic models, and pinpointing applications in the real-world social systems.
Impact of trade liberalization on firm ’ s labour demand by skill : The case of Tunisian manufacturing October 2003 ( First draft )

This paper investigates the impact of trade liberalization process in Tunisia on employment by distinguishing different skills and different types of firms using micro level data covering the period 1983-1994. There is considerable disagreement among analysts on the impact of recent trade reforms on labour. Our contribution to these debates in this paper is essentially an empirical issue. The analysis of a Tunisian firms data may be viewed as an attempt to apprehend how employment in Tunisia, a developing country, adjusted to the trade reforms. Using a micro-level detail on individual firms, we are able to trace the relationship between changes in trade policies and manufacturing employment at the firm level and by skill. Although trade reforms are generally implemented at the sector level, their effects may vary significantly across firm characteristics such as ownership (public vs. private) and degree of export orientation. We can then measure the effects of trade policy on employment for different types of firms. We also try to associate changes in employment directly with measure of change in trade protection, rather than link them to changes in imports and exports which is more common.
Determinants of remittance behavior among female marriage immigrants in South Korea

This study examines determinants of the propensity and level of remittances among female marriage immigrants in South Korea. We use a nationally representative survey dataset of registered foreigners. Adopting an extended altruism framework, we hypothesize a positive relationship between socioeconomic status and remittances and a negative association between duration of stay and remittances. We fit a double hurdle model to produce probit coefficients in one part and OLS results in the other part. The probability of sending remittances increases if the women are Vietnamese or Uzbek, work, and earn monthly income at certain levels. The level of remittance decreases with a larger household size but increases drastically with a higher level of income. In addition, our model confirms that there are indeed two different mechanisms for deciding whether to remit and level of remittance. An implication is that, through remittances, having economic power is likely to increase the chance of maintaining transnational ties with families in the origins. Theoretical and technical development is needed to fully account for the remittance behavior of marriage immigrants.
Research on Pedestrian Detection Based on PCANet

In the research of pedestrian detection, it is still a difficult task to express the pedestrian feature in the complex environment. PCANet which comprises only the very basic data processing components is a simple deep learning network. Compared with the traditional manually select features, it can extract the deeper abstract expression of the data, and has achieved a high recognition rate in the field of image recognition. In this paper, PCANet is brought in to extract pedestrian and non-pedestrian features and SVM classifier is applied for dichotomy. In the stage of detection, selective search algorithm is used to achieve pedestrian primary areas. Experimental results show that the algorithm we proposed has a higher detection rate, compared with the state of the art algorithm, in the INRIA pedestrian detection datasets.
COW AND HERD PREDICTORS OF UDDER HEALTH STATUS IN A RANDOM SAMPLE OF ARGENTINIAN DAIRY HERDS

1 Departamento de Patología Animal, Facultad de Agronomía y Veterinaria, Universidad Nacional de Río Cuarto, Córdoba, Argentina. Ruta 36 km 601, C.P. X5804ZAB, Río Cuarto, Córdoba, Argentina. 2 Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina.3 Departamento de Microbiología e Inmunología, Facultad de Ciencias Exactas, Físico-Química y Naturales, Universidad Nacional de Río Cuarto, Córdoba, Argentina.
Issuer-heterogeneity and time-heterogeneity in the rating migration dynamics of U.S. financial institutions Abstract This study examines issuer-heterogeneity and time-heterogeneity in the rating migration

This study examines issuer-heterogeneity and time-heterogeneity in the rating migration dynamics of U.S. financial institutions during the period 1984-2006. The study found that (i) different downgrade outcomes require separate models while upgrade outcomes can be treated equivalent in the same analysis; (ii) rating history, macro-economic and political conditions are the key determinants of a subsequent rating change. These effects persist after controlling for the current rating, the outlook/ CreditWatch designation; (iii) during the holdout period (2007-2010) issuer-heterogeneity and time-heterogeneity jointly exhibit good forecast performance for upgrades and downgrades to high investment ratings, and show some calibration power for downgrades to mid and low ratings; (iv) accounting for the outlook/ CreditWatch listing, in most cases, does not improve the predictive accuracy of the models out-of-sample. The findings explicitly rule out the Markov and time-homogeneity properties inherent in the discrete time cohort Markov framework, which is commonly used by credit rating agencies to estimate a rating migration matrix.
STRATEGIC COASTAL ASSESSMENTS – EQUIPPING DECISION MAKERS

Australians are loving their coast to death and putting it under increasing pressure. Effective regional planning to maintain or enhance the utility of our coasts requires a clear understanding of the status quo, a thorough understanding of the drivers and consequences of any change, and most importantly a clear understanding of the cumulative impact of multiple possible developments. Strategic assessments are critical to effective coastal planning. Here we examine some of the major scientific challenges facing strategic regional coastal assessments and look at some advances that will lead to improved data acquisition, more robust interpretation and better planning outcomes.
Testing target text fluency: A machine learning approach to detecting syntactic translationese in English-Russian translation

This research is aimed at the semi-automatic detection of divergences in sentence structures between Russian translated texts and non-translations. We focus our attention on atypical syntactic features of translations, because they have a greater negative impact on the overall textual quality than lexical translationese. Inad-equate syntactic structures bring about various issues with target text fluency, which reduces readability and the reader’s chances to get to the text message. From a procedural viewpoint, faulty syntax implies more post-editing effort. In the framework of this research, we reveal cases of syntactic translationese as dissimilarities between patterns of selected morphosyntactic and syntactic features (such as part of speech and sentence length) in the context of sentence boundaries observed in comparable monolingual corpora of learner translated and non-translated texts in Russian. To establish these syntactic differences we resort to a machine learning approach as opposed to the usual statistical significance analyses. To this end we employ models that predict unnatural sentence boundaries in translations and highlight factors that are responsible for their ‘foreignness’.
A Model of Planning, Action, and Interpretation with Goal Reasoning

The cognitive systems literature describes many methods for problem solving and planning. Given a goal state, these methods search for solutions that achieve the goal through interactions with some environment. However, a major assumption is that goals are given, usually by a user directly as input or as part of the problem representation. Furthermore, once given, the goals do not change. Here, we formalize the notion that goal formulation and goal change are themselves major cognitive operations. We include in our model not just plan generation and execution but also interpretation of the environment as plans execute, exogenous events occur, and plans change.
3 Related Work in Video Games , Video Processing and Films

This paper describes different interactive, non photoreal istic techniques which can be easily applied to video games. Based on a study of art and games, an emphasis is put on considering NPR t ools as basic elements to provide different styles and moods, to c onvey different emotional and experiential representations of a game. We restrict ourselves to screen based effects, which permits a ny existing game to use our framework with practically no integratio n c st. This allows us not only to comply with user preferences in ren dering style, but also the creation of multiple gaming experien ces out of the same game. We show the resulting effects in an in-house videogame and in standard Unity demos, and show how the users can change the style of the videogame by means of a menu. CR Categories: I.4. 3 [Image Processing and Computer Vision]: Enhancement
Virtual Reality as a Tool to Facilitate Empathy: Embodied Simulations and Perspective Taking in the Body of Another

Research paradigms for stimulating empathic responses in virtual reality change perceived self-other overlap through illusions that cause users to experience their own body as a virtual avatar with a different type of body. Virtual Alterity paradigms involve sharing aspects of another real person's first-person experience in interactive virtual environments. In this thesis, I define empathy as an other-directed emotion motivating concern for another's welfare, and argue that virtual alterity systems are better designed to facilitate empathy when conceived in this way, as compared to avatar illusions in VR.
Transitional Goos-Hänchen effect due to the topological phase transitions

We examine the Goos-Hänchen (GH) effect for a Gaussian beam impinging on the surface of silicene whose topological phase transitions can be modulated by external electric field and/or irradiating circular polarized light. It is shown that both the spatial and angular shifts in the GH effect present a sharp jump due to the topological phase transitions. The transitional GH effect can be attributed to transitional optical conductivity, which relates to Berry curvature and Chern numbers. These results can be broadly extended to other two-dimensional atomic crystals in the graphene family. We believe that the transitional GH effect may offer a possible way to determine the Berry curvature, Chern numbers, and topological phase transition by a direct optical measurement. © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
The Anti-Capitalist Movement and the Migrant Comparing Agendas and Debating Facilities Sussex Migration Working

This paper aims to critically analyse the ways in which one network of the radical left presents migration. By comparing two perspectives, that of the writers and the ‘subjects’, this paper aims to contest the radical left’s idea of migration, allow some migrants a voice that has perhaps been usurped by the radical left, highlight the dangers of representation in general and consider the practical implications of this specific misrepresentation. It aims to draw attention to the misrepresentations that can occur when a wellintentioned, but nevertheless dominant group represents another less privileged one.
Implementation of Synchronous Programs

Synchronous languages allow a high level, concurrent, and deterministic description of the behavior of reactive systems. Thus, they can be used advantageously for the programming of embedded control systems. The runtime requirements of synchronous code are light, but several critical properties must be fulfilled. In this paper, we address the problem of the software implementation of synchronous programs. After a brief introduction to reactive systems, this paper formalizes the notion of “execution machine” for synchronous code. Then, a generic architecture for centralized execution machines is introduced. Finally, several effective implementations are presented.
REACTIVE INKJET PRINTING APPROACH TOWARDS 3D SILCIONE ELASTOMERIC STRUCTURES FABRICATION

Production of 3D silicone structures with tailored architectures has a wide number of applications including soft robotics and stretchable electronics. This work investigates a method based on a reactive inkjet printing approach to produce 3D silicone structures. Printing parameters including pressure and temperature for jetting SE1700 ink to produce silicone structures were optimised. Additives, silicone oil and vinyl terminated polydimethylsiloxane were added to the main SE1700 formula to evaluate mechanical properties of the final parts. Characterisation was performed to understand the change in a sample’s properties in relation to different formulations. Silicone structures with different porosities were printed and the mechanical properties were investigated. It has been demonstrated that 3D silicone structures can be produced using reactive inkjet printing approach. The presented method allowed tailoring of the mechanical properties of silicones without increasing the viscosity properties of the base material by adjusting the silicone formula and using different structures.
A Practical Guide to Studying Emergent Communication through Grounded Language Games

The question of how an effective and efficient communication system can emerge in a population of agents that need to solve a particular task attracts more and more attention from researchers in many fields, including artificial intelligence, linguistics and statistical physics. A common methodology for studying this question consists of carrying out multi-agent experiments in which a population of agents takes part in a series of scripted and task-oriented communicative interactions, called 'language games'. While each individual language game is typically played by two agents in the population, a large series of games allows the population to converge on a shared communication system. Setting up an experiment in which a rich system for communicating about the real world emerges is a major enterprise, as it requires a variety of software components for running multi-agent experiments, for interacting with sensors and actuators, for conceptualising and interpreting semantic structures, and for mapping between these semantic structures and linguistic utterances. The aim of this paper is twofold. On the one hand, it introduces a high-level robot interface that extends the Babel software system, presenting for the first time a toolkit that provides flexible modules for dealing with each subtask involved in running advanced grounded language game experiments. On the other hand, it provides a practical guide to using the toolkit for implementing such experiments, taking a grounded colour naming game experiment as a didactic example.
Imitation Learning with Density Matching Policy Learning : Supplementary Material

where st+1 = f(st, at) is a dynamic model and T is the time horizon. Theorem 1: Given exact occupancy measure of an expert μE , the policy function π̂ achieved from (2) with any T ≥ 1 recovers the original policy function of an experts. Proof: We first consider the occupancy measure and policy function of an expert is derived from the infinite horizon discounted setting of Markov decision process (MDP) which is widely used in both reinforcement learning and inverse reinforcement learning problems. The MDP problem is formulated as follows:
CHALLENGE : RANDOM SYSTEM PERFORMANCE IN TASK 3

In this report we describe the creation of a random, data-blind systems to provide a random baseline for Task 3 (sound event detection in real life audio) in the DCASE 2016 challenge. Particular attention is paid to the results of two sound events occurring in the residential area scene, one very rare, the other very frequent. The relatively good performance of the random system in comparison to the results of the proper detection systems shows the difficulty of Task 3 given the current state-of-the-art sound detection methods.