Miracle-dz/UniFAR-FTUs huggingface dataset:
PNEUTRONIC POSITIONING SYSTEM

In today's industrial enviroment, the need for precise positioning of a load is obvious. Such systems are all subject to the same requirements, without regard to their energy source, such as assuring that a certain precision can be reached, low positioning time, low energy footprint, easily started and maintainted as well as low initial cost. Thus, when the application requires easily obtained low travel and high speed, low cost and easy maintenance, pneutronic systems are the obvious choice in most cases. These systems are flexibile, have low cost and low emissions and maintaining a position in such systems has a low energy cost, especially in regards to linear positioning. Working with compressed gas, usually air is however proving to be the biggest drawback for this type of positioning system. Imperfect seals, nonlinear friction, high influence of temperature and enviroment changes, the influence of changes in the pipes that lead the compressed air along with many other factors lead to the well-known non-linear behaviour of such positioning systems. There is constant and extensive research regarding the improvement of static and transient characteristics of pneutronic positioning systems. Such solutions apply to pneutronic positioning systems that employ either proportional equipment[2][3] or that rely solely on on/off equipment[1][4]. A large portion of
Statistical Mechanics Models for PdH x and PdD x

In recent years we have developed simple empirical mean-field statistical mechanics models for PdHx and PdDx that include both O-site and T-site occupation. A brief account of this work is given here. At low loading it is impossible to fit solubility data over a wide range of temperature assuming only O-site occupation; however, with T-site occupation a good fit is obtained and an O-site to T-site excitation energy near 105 meV is found. Results from neutron diffraction studies at modest loading, and resistance and solubility measurements at high pressure and high loading, are used to infer O-site to T-site excitation energies and develop a smooth fit. The resulting statistical mechanics models have been optimized to provide systematic results at high loading for PdH and PdD, and also to fit the isotherms of the phase diagram of PdH. Estimates for the O-site energy as a function of loading and temperature have been developed in the latter case. c © 2017 ISCMNS. All rights reserved. ISSN 2227-3123
From their lens: Skilled migrants on the impacts of international skilled migration on home-countries

There is an already established knowledge on the impacts of migration from an economic, financial and national development standpoint. Despite the current abundance of discourse on the topic, there is a source of information that remains relatively untapped—the migrants themselves. With the expertise and knowledge about the experience of migration, migrants become good sources of information and perspectives that can contribute to the existing body of knowledge. This paper explores the understandings of Filipino migrant educators on the impacts that highskilled international migration has on the individuals, families, local and national communities in the home-country, as well as on the wider global community. Data was collected through semi-structured, open-ended interviews with three Filipino migrant educators in Darwin, Australia. A thematic analysis was used to identify two things: (1) the impacts of migration on the home-country that Filipino migrant educators know about, and (2) the similarities and differences between the impacts of migration identified in literature and those identified by the migrants. Key findings indicate that the migrants are familiar with some of the impacts of migration on the home-country as in existing literature. The data further reveals that the migrants also recognise other areas affected by migration that are not outlined in the literature reviewed in the study. There are aspects wherein the literature and the migrant educator stories have some similarities and differences. This indicates that while there are some alignments between the two sources, there is still a gap in what is already known about the topic and that further investigations are needed to provide a full representation of the impacts of migration on home-countries. Given that international migration is a global phenomenon, this paper can provide a window to further understand how both home-countries and host-countries can create responsible and conscientious migration policies that may maximise the benefits to both parties.
Structure-altering feature-based triangle mesh model editing for primitive-based engineering parts

This paper presents a structure-altering feature-based editing scheme for triangle mesh models of primitives for engineering application. With the increasing usage of 3D scanning and 3D printing technologies in product design, triangle mesh has become a vital model format in engineering designs. Coupled with its flexible nature in shape manipulation, many design models are now constructed in a mesh form. However, methods to perform direct feature-based mesh model modifications are lacking. Editing features and their defining parameters is greatly underdeveloped for mesh models compared with their parametric model counterparts. Thus, the proposed scheme aims to enable structure-altering feature-based mesh editing through the imposition (mapping) of a feature information layer on top of the triangle mesh model. Feature-based editing is done on the feature information layer. Through information mapping, the mesh model adapts to changes in the feature information layer, resulting in a geometric representation that accurately reflects the feature information layer content. Large-scale model modifications with structure-altering edits are thus achievable for mesh models, allowing straightforward feature-based model editing without the loss of the flexible mesh representation. Numerous case studies have been done to illustrate the effectiveness of the presented feature-based editing scheme.
Business and Financial Cycles in Emerging Markets

We provide a comprehensive empirical analysis of the implications of recessions and financial disruption episodes for 24 emerging market countries over the period 1978:1-2011:4. We examine how the linkages between key macroeconomic and financial variables evolve around these episodes and their various overlaps. We report four major results. First, recessions associated with financial disruption episodes, such as credit crunches, equity price busts and financial crises, tend to be deeper than other recessions. Second, compared to advanced countries, recessions and financial disruptions in emerging market countries are more costly and protracted. Third, the temporal dynamics of macroeconomic and financial variables around these episodes in emerging markets differ substantially from those in advanced countries. Fourth, changes in credit appear to be significantly associated with the costs recession episodes in emerging markets. We discuss the implications of these findings for economic policy and future research.  Federal Reserve Board, World Bank, and International Monetary Fund; e-mails: sclaessens@imf.org; akose@imf.org; mterrones@imf.org. An earlier version of this paper was circulated under the title “Recessions and Financial Disruptions in Emerging Markets. ” The views expressed in this paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy.
Furniture Fabric Detection and Overlay using Augmented reality

In this paper, fabric detection of furniture is investigated for the purpose of visualizing it with an augmented reality fabric of a different kind. Two segmentation algorithms using color histogram matching and color transformed MSER, is discussed and used to isolate the furniture structure from a fairly cluttered background. After isolation, filtering by image subtraction from a Laplacian of Gaussian is done to highlight the sub-sections of the furniture with the purpose of reducing fabric texture noise and shadow characteristics. After edge detection and sub-section segmentation, each of those isolated structures are augmented with another fabric type roughly retaining the orientation of the original fabric. Methods to obtain close to correct orientations are discussed. Many of the advantages and drawbacks of the methods used are discussed throughout the paper.
2-1-2018 Interaction between pre-treatment drug use and heterogeneity of psychiatric diagnosis predicts outcomes in outpatients with co-occurring disorders

We examined whether the interaction of baseline stimulant use, assessed by urine drug tests, and type of serious mental illness (SMI) diagnosis predicted stimulant use in a trial of contingency management (CM). The interaction between baseline stimulant use and SMI diagnoses was significant in the overall sample (p=0.002) when controlling for the main effects of treatment condition, baseline stimulant use, and SMI diagnosis. Similar results were also found within the CM sample. Individuals with bipolar disorder were more or less likely, depending on their baseline stimulant-drug test results, to use stimulants during treatment compared to those with other SMI diagnoses.
Locomotion Control of Hexapod Walking Robot with Four Degrees of Freedom per Leg

In this thesis a novel six-legged robot called HAntR is presented. The robot was developed according to needs of the Robotics Laboratory, at the Artificial Intelligent Center, Faculty of Electrical Engineering, Czech Technical University in Prague. Its main purpose is enhancing rough-terrain movement capabilities by upgrading a former design by adding fourth degree of freedom to each leg. We also revised robot torso to fit new leg design and incorporate other requirements such as smaller dimensions with space for at least six Lithium-Ion cells. We thoroughly describe motivations and considerations that led us to the presented particular solution. Further, the solutions of forward and inverse kinematic tasks with partial orientation constraint and important singularities avoidance are presented. The proposed design has been evaluated in several experimental deployments, which utilised developed software controller written in C++. Endurance tests showed, that HAntR is able to remotely operate for over an hour thanks to increased energy density. Maximal speed test resulted to 0.42 m s−1 during tripod gait, which outpaces most of the comparable robotic platforms. Experiment where HAntR stood on platform with varying inclination showed qualitative improvement against former robot. Finally, in accord with the thesis assignment, we proved that HAntR is able to perform walking with adaptive gait using positional feedback only.
DETECTING FREE RIDERS IN COLLECTIVE DESTINATION BRANDS THROUGH A HIERARCHICAL CHOICE PROCESS

Free riding behaviors exist in tourism and they should be analyzed from a comprehensive perspective; while the literature has mainly focused on free riders operating in a destination, the destinations themselves might also free ride when they are under the umbrella of a collective brand. The objective of this article is to detect potential free riding destinations by estimating the contribution of the different individual destinations to their collective brands, from the point of view of consumer perception. We argue that these individual contributions can be better understood by reflecting the various stages that tourists follow to reach their final decision. A hierarchical choice process is proposed in which the following choices are nested (not independent): “whether to buy”, “what collective brand to buy” and “what individual brand to buy”. A Mixed Logit model confirms this sequence, which permits estimation of individual contributions and detection of free riders.
Planar Patch Antenna for 2.4 GHZ Wireless Applications

This paper presents the theory and design of a planar patch antenna in the shape of a rectangle at 2.4GHz. The antenna is designed with FR4 as a substrate which has a dielectric constant of 4.4. The frequency of operation is chosen to be 2.4GHz as the antenna can support many wireless applications in the frequency band like Wi-Fi and Bluetooth. The antenna is simulated using Ansoft's High Frequency Structure Simulator. The designed patch antenna has a return loss of -24dB which is acceptable given the scope of the antenna. Index Term: FR4, Microstrip, Return Loss, Substrate
Paying Attention to Function Words

All natural languages exhibit a distinction between content words (like nouns and adjectives) and function words (like determiners, auxiliaries, prepositions). Yet surprisingly little has been said about the emergence of this universal architectural feature of natural languages. Why have human languages evolved to exhibit this division of labor between content and function words? How could such a distinction have emerged in the first place? This paper takes steps towards answering these questions by showing how the distinction can emerge through reinforcement learning in agents playing a signaling game across contexts which contain multiple objects that possess multiple perceptually salient gradable properties.
Distribution and Speciation of Ni in Sepiolite-falcondoite-type “ Garnierite ” by EXAFS / JOSEP ROQUÉ-ROSELL

Ni-laterites represent one of the main Ni sources worldwide, with about 40% of the annual production (Gleeson et al., 2003). A problem in laterites is to find a reliable system to control the exact partitioning of Ni among the different minerals in the lateritic profile, because laterite profiles are generally constituted by fine-grained minerals. The determination of Ni-sorption mechanisms during the process of lateritization arises as a very important target from both the mining and environmental point of view (e.g. RoquéRosell et al., 2010).
Modified profile likelihood in models for clustered data with missing values

Clustered data are frequently subject to missing values, especially those collected from longitudinal studies. The main focus of the analysts is usually not on the clustering variables, hence the group-specific parameters are treated as nuisance. If a fixed effects formulation is preferred and the total number of clusters is large relative to the single-group sizes, classical frequentist techniques are often misleading. We propose here to combine multiple imputation and the modified profile likelihood function to obtain accurate inferences on a parameter of interest under models with incidental parameters for incomplete grouped observations. Such solution is examined via simulation studies which shed light on the convenience for the imputation model to take into account the clustered structure of the data. Abstract Nei dati raggruppati si registrano abitualmente valori mancanti, soprattutto in quelli raccolti per studi longitudinali. L’attenzione degli analisti di solito non è rivolta alle variabili di raggruppamento, dunque i parametri specifici dei vari cluster sono considerati di disturbo. Se si preferisce adottare una formulazione ad effetti fissi ed il numero totale di gruppi è grande rispetto alle singole dimensioni di questi, le classiche tecniche frequentiste risultano spesso inadeguate. Qui proponiamo di combinare l’imputazione multipla e la verosimiglianza profilo modificata per ottenere un’inferenza accurata sul parametro d’interesse in modelli con parametri incidentali per osservazioni incomplete organizzate in cluster. Tale soluzione viene esaminata attraverso studi di simulazione che fanno luce sull’opportunità che il modello di imputazione tenga conto della struttura raggruppata dei dati.
Preview and Postview Control System for Trajectory Tracking and Obstacle Avoidance to Unknown Objects for Redundant Manipulators

This research is concerned with a control method for trajectory tracking and obstacle avoidance by redundant manipulators. When an operation system dose not require preparations about positioning and definition of a contour of a working object, the working efficiency will be improved. Working to unknown objects is desired to be executed automatically. When a trajectory of manipulator's hand is on the surface of the object, the object could be an obstacle, and both the trajectory tracking and obstacle avoidance must be controlled parallel in the same time. We have formerly presented a redundancy control system using a preview control to achieve simultaneously these two tasks. The preview control system is a method to change the current arm form by referring to the form in the future . However, the manipulator sometimes happens to collide against the passed obstacle. This paper proposes a new redundancy control method to solve this problem. This system consists of both the preview and postview controls , considering into the past arm form by using its redundancy. This system is applied to objects which contour is concave and the effectiveness is verified through simulation experiments.
On Combining Expert Opinions

SYNOPTIC ABSTRACTIn various decision contexts, a decision-maker has to combine the estimates or information supplied by several experts. Methods which may be used to combine different estimates are presented with examples. A new method is presented when the opinions of the experts have a particular form of dependence, namely a common overlap of knowledge base. The role of interaction among the experts, and the emergence of consensus, are discussed. New methods are also presented for combining expert estimates when a small or sketchy amount of observational data is available.
An Implementation of Reduced Neural Network Using Genetic Algorithm for Email Spam Detection

Email spam detection is one of the most urgent problems on the internet. Many models that detect spam require a large size of neural network, which can consume a lot of memory and time. In this report, a network reduction technique based on the distinctiveness with Genetic Algorithm is implemented to prune the neural network. The goal of this network reduction technique is to reduce the number of hidden units without affecting the accuracy. A backward propagation neural network classifier is used to verify the performance of this technique. Sensitivity and specificity are two primary performance evaluation methods. At the end of the report, comparison of results is shown with the original network reduction technique and the results of another paper based on the same dataset. The result shows that this adaptive neural network technology has about 75% compression rate with a minor loss of performance. This report confirms that this technique can be applied to real-world problems.
Friend Recommendation based on Hashtags Analysis

Social networks include millions of users constantly looking for new relationships for personal or professional purposes. Social network sites recommend friends based on relationship features and content information. A significant part of information shared every day is spread in Hashtags. None of the existing content-based recommender systems uses the semantic of hashtags while suggesting new friends. Currently, hashtags are considered as strings without looking at their meanings. Social network sites group together people sharing exactly the same hashtags and never semantically close ones. We think that hashtags encapsulate some people interests. In this paper, we propose a framework showing how a recommender system can benefit from hashtags to enrich users’ profiles. This framework consists of three main components: (1) constructing user’s profile based on shared hashtags, (2) matching method that computes semantic similarity between profiles, (3) grouping semantically close users using clustering technics. The proposed framework has been tested on a Twitter dataset from the Stanford Large Network Dataset Collection consisting of 81306 profiles.
Role of Contrastive and Noncontrastive Associates in the Interpretation of Focus Particles

The present research examines the mechanisms underlying the comprehension of focus alternatives. In particular, we investigate whether listeners determine alternatives based on general semantic priming mechanisms or whether they only consider contrastive alternatives, elements that can replace the expression in focus. In a probe recognition experiment, we compare the retrieval of contrastive alternatives with that of general associates of a focused expression across conditions with focus particles (only or also) and a condition without a particle. The rationale is that focus particles like only necessarily involve the computation of alternatives and should therefore affect the retrieval of relevant alternatives. The results of the study show that focus particles influence the retrieval of unmentioned contrastive alternatives but not that of general associates. Therefore, we suggest that alternatives are determined by a specialized mechanism that takes into account whether or not an element can replace a focused expression and only these possible replacements are relevant for the processing of focus particles.
A day-ahead economic dispatch method considering extreme scenarios based on a wind power uncertainty set

As the intermittency of wind power is a growing concern in the day-ahead economic dispatch, this paper proposes a day-ahead economic dispatch method considering extreme scenarios of wind power by using an uncertainty set. The uncertainty set inspired by robust optimization is used to describe wind power intermittency in this paper. Four extreme scenarios based on the uncertainty set are formulated to represent the worst cases of wind power fluctuation. An economic dispatch method considering the costs of both load shedding and wind curtailment is proposed. The economic dispatch model can be easily solved by a quadratic programming method owing to the introduction of four extreme scenarios and the uncertainty set of wind power. Simulation is done using the IEEE 30-bus system and the results verify the effectiveness of the proposed method.
Call-by-need is clairvoyant call-by-value

Call-by-need evaluation, also known as lazy evaluation, provides two key benefits: compositional programming and infinite data. The standard semantics for laziness is Launchbury’s natural semantics DBLP:conf/popl/Launchbury93, which uses a heap to memoise the results of delayed evaluations. However, the stateful nature of this heap greatly complicates reasoning about the operational behaviour of lazy programs. In this article, we propose an alternative semantics for laziness, clairvoyant evaluation, that replaces the state effect with nondeterminism, and prove this semantics equivalent in a strong sense to the standard semantics. We show how this new semantics greatly simplifies operational reasoning, admitting much simpler proofs of a number of results from the literature, and how it leads to the first denotational cost semantics for lazy evaluation.