Miracle-dz/UniFAR-FTUs huggingface dataset:
CIRP Design 2019 ( CIRP Design 2019 ) Auto ated Learning of User Preferences for Selection of High Quality 3 D Designs

In today’s business environment, the trend towards more product variety and customization is unbroken. Due to this development, the need of agile and reconfigurable production systems emerged to cope with various products and product families. To design and optimize production systems as well as to choose the optimal product matches, product analysis methods are needed. Indeed, most of the known methods aim to analyze a product or one product family on the physical level. Different product families, however, may differ largely in terms of the number and nature of components. This fact impedes an efficient comparison and choice of appropriate product family combinations for the production system. A new methodology is proposed to analyze existing products in view of their functional and physical architecture. The aim is to cluster these products in new assembly oriented product families for the optimization of existing assembly lines and the creation of future reconfigurable assembly systems. Based on Datum Flow Chain, the physical structure of the products is analyzed. Functional subassemblies are identified, and a functional analysis is performed. Moreover, a hybrid functional and physical architecture graph (HyFPAG) is the output which depicts the similarity between product families by providing design support to both, production system planners and product designers. An illustrative example of a nail-clipper is used to explain the proposed methodology. An industrial case study on two product families of steering columns of thyssenkrupp Presta France is then carried out to give a first industrial evaluation of the proposed approach. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 28th CIRP Design Conference 2018.
Augmented Reality Knowledge Work : Towards a Research Agenda

This paper argues that the most likely new display technology to achieve widespread adoption is augmented reality (AR) head-mounted displays (HMDs), and further argues that the way this will happen is through making them useful to knowledge workers who use them with laptops and smartphones. Research questions related to these use cases are identified.
Visual Psychophysics and Physiological Optics Mechanisms for Discomfort Glare in Central Vision

Citation: Bargary G, Jia Y, Barbur JL. Mechanisms for discomfort glare in central vision. Invest Ophthalmol Vis Sci. 2015;56:464–471. DOI: 10.1167/iovs.14-15707 PURPOSE. The presence of a bright light source in the visual field can generate visual discomfort. Based on empirical observations we can predict to a reasonable degree of accuracy how uncomfortable a given lighting installation is likely to be; yet very little is known about the mechanism or physiological underpinnings that lead to visual discomfort. This study attempts to elucidate some of the underlying mechanisms by controlling the amount of light reaching the retina and by varying photometric properties of the glare source.
Phonetic Training Improves L 2 Word Recognition

High-Variability Phonetic Training (HVPT) has been shown to be effective in improving the perception of even the hardest second-language (L2) contrasts. However, little is known as to whether such training can improve phonological processing at the lexical level. The present study tested whether this type of training also improves word recognition. Adult proficient French late learners of English completed eight online sessions of HVPT on the perception of English word-initial /h/. This sound does not exist in French and has been shown to be difficult to process by French listeners both on the prelexical (Mah, Goad & Steinhauer, 2016) and the lexical level (Melnik & Peperkamp, 2019). In pretest and posttest participants completed an identification task as well as a lexical decision task. The results demonstrated that after training the learners’ accuracy had improved in both tasks. The theoretical and applied implications are discussed.
Effects of Succession Planning on the Performance of Non-Governmental Organizations in Kenya

Successional planning is an essential issue within organizations, particularly within non-governmental organizations. The empirical literature depicts that albeit numerous of the non-governmental organizations (NGOs) are run and managed by their initiators or by a small management team, very little is observed as pertains adequate and tactical succession planning as a strategy for long-run survivability. The inadequate succession planning practices could have adverse effects on the organization such as internal inefficiencies, derailed performance or even the collapse, especially when the main players exit the establishment upon old age, retirement or seek greener pastures elsewhere. Such exit predisposes the organization to vulnerability, hindered growth, as well as diminishing its worth for its stakeholders, particularly the donors and target beneficiaries. Intrinsically, the study set to assess the effects of successional planning practices on the performance of (NGOs) in Kenya. Objectively, it examined the relationship between successional planning practices and their influence on turn-over rate, organizational conflict, and shareholder expectations. Ideally, this was achieved through a descriptive approach aimed at registered non-governmental organizations in Nairobi. The study engaged both qualitative and quantitative data obtained from 15 NGOs, then presented the analysed data through illustrative frequency distributions. Conclusively, the study identified successional planning as the persistent concern for (NGOs) pursuing performance sustainability. There was an existing gap between conventional management of (NGOs) in Nairobi and the adoption of successional planning practices. Also, it noted that maintaining relevance, and enhancing other effective managerial capabilities were a core contributor to the sustained performance of the NGOs.
Effectiveness of ANC Partition with Film Speaker

In this paper, we design an ANC partition with film speaker and demonstrate the effectiveness through experimental results. In a cubicle of public areas, like a reception desk inside bank, surrounding sound including conversation and environment noise avoids smooth conversation and the privacy may not be protected due to leaking to the adjacent cubicles. In such a case, the partition should have not only passive sound control function but also active sound control function. However, the ordinary loudspeaker (electrodynamic loudspeaker) may not be implemented into the partition effectively and may not control enough region in the cubicle. In this paper, we implement a film speaker into the partition and realize active noise control (ANC) system. The proposed ANC partition can achieve more than 10 dB noise reduction and wider zone of quiet compared with the ANC partition using the ordinary loudspeaker.
Will this dialogue be unsuccessful ? Prediction using audio features

This paper proposes a method to improve statistical spoken dialogue systems and specifically it aims to provide a way for early detection of unsuccessful dialogues using the audio stream. If an interaction is predicted as unsuccessful, this information could be used to update the policy or to forward the call to a human agent. A dataset of interactions between Amazon Mechanical Turk workers and a statistical spoken dialogue system is used. A total of 702 dialogues are recorded. Then, mel-frequency cepstral coefficients (MFCCs) are extracted from the user’s speech signal, forming a “feature image” which is then given as input to a convolutional neural network comprising of 9 layers. The reported accuracy is 94.7%, and the system manages to predict that a dialogue will be unsuccessful for the 97.9% of the cases. With respect to accuracy, there is an improvement of 17.2%, compared to our previous work on predicting dialogue quality. We observe that for our task, convolutional neural networks can model temporal correlations given context information and that the cepstral domain is a useful and compact representation for convolutional neural networks.
How to present pure-tone infrasound to the ear

An increasing number of individuals are being exposed to infrasound. It is, however, still not clear, how infrasound is perceived by human beings. Regarding auditory perception, one hypothesis is that non-linear processes within the ear generate distortion products that make infrasound audible. To investigate this hypothesis, it is crucial to rule out that such distortions were produced technically, i.e., by the stimulus presentation system rather than the auditory system. This paper introduces a compact, low-distortion infrasound system, based on a commercially available audiometric earphone, for simultaneous presentation of pure-tone infrasound and audio sound to the ear via an ear insert. This system also allows for the recording of sound in the ear canal during signal presentation. Performance characteristics of the system for the stimulus presentation and the sound recording units are presented. It is shown that the interaction of infrasound and audio sound, such as modulation of the audio sound by the infrasound, is negligible with respect to auditory perception.
News Sources Relevant vs Irrelevant Filtering Classified Relevant Classified Irrelevant Annotation Retrain Retrain Labelled Irrelevant Labelled Positive and Negative Pos / Neg Classifier Statistics Select Set Bias

The task of identifying sentiment trends in the popular media has long been of interest to analysts and pundits. Until recently, this task has required professional annotators to manually inspect individual articles in order to identify their polarity. With the increased availability of large volumes of online news content via syndicated feeds, researchers have begun to examine ways to automate aspects of this process. In this work, we describe a sentiment analysis system that uses crowdsourcing to gather non-expert annotations for economic news articles. By using these annotations in conjunction with a supervised machine learning strategy, we can generalize to label a much larger set of articles, allowing us to effectively track sentiment in different news sources over time.
Aus der Medizinischen Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie der Medizinischen Fakultät Charité – Universitätsmedizin Berlin DISSERTATION

8 1 Einleitung . 10 1.1 Die Rolle der Glucocorticoide . 10 1.1.1 Die Entdeckung der Glucocorticoide . 10 1.1.2 Die Anwendung in der heutigen Medizin . 11 1.1.3 Die Anwendung bei rheumatoider Arthritis . 12 1.2 Die Wirkmechanismen der Glucocorticoide . 14 1.2.1 Genomische Wirkungen . 15 1.2.2 Nicht-genomische Wirkungen . 17 1.3 Unerwünschte Arzneimittelwirkungen der Glucocorticoide . 18 1.3.1 Unerwünschte Arzneimittelwirkungen im Allgemeinen . 18 1.3.2 Unerwünschte Arzneimittelwirkungen einer „Low-DoseGlucocorticoidtherapie“ bei rheumatoider Arthritis . 22 1.4 Zielsetzung der Arbeit . 23 2 Material und Methoden 25 2.1 Studiendesign . 25 2.2 Studienpopulation . 25 2.2.1 Ort und Zeitraum der Datenerhebung . 25 2.2.2 Patientenkollektiv . 26 2.3 Material und Methoden . 26 2.3.1 Dokumentationsbogen . 26 2.3.2 Patientenrekrutierung, Ablauf . 34 2.3. 3 Daten aus den computerisierten Patientenakten . 34 2.4 Auswertungsverfahren (statistische Datenanalyse) . 35 3 Ergebnisse 36 3.1 Die demographischen und klinischen Charakteristika der Studienpopulation . 36 3.2 Infektionen . 41
Proprioceptive Sensor Dataset for Quadrupeds

This paper presents novel datasets of the hydraulically actuated robot HyQ’s proprioceptive sensors. The datasets include absolute and relative encoders, force and torque sensors, and MEMS-based and fibre optic-based inertial measurement units (IMUs). Additionally, a motion capture system recorded the ground truth data with millimetre accuracy. In the datasets HyQ was manually controlled to trot in place or move around the laboratory. The sequence includes: forward and backwards motion, side-to-side motion, zig-zags, yaw motion, and a mix of linear and yaw motion. All of the datasets are at least five minutes long. The aim of these datasets is to test state estimation using only proprioceptive sensors. The datasets can be downloaded from https://www.doi. org/10.21227/4vxz-xw05. Keywords—Quadruped, dataset, proprioceptive, robotics, IMU, kinematics, state estimation
Fair Package Assignment

We consider the problem of fair allocation in the package assignment model, where a set of indivisible items, held by single seller, must be efficiently allocated to agents with quasilinear utilities. A fair assignment is one that is efficient and envy-free. We consider a model where bidders have superadditive valuations, meaning that items are pure complements. Our central result is that core outcomes are fair and even coalition-fair over this domain, while fair distributions may not even exist for general valuations. Of relevance to auction design, we also establish that the core is equivalent to the set of anonymous-price competitive equilibria, and that superadditive valuations are a maximal domain that guarantees the existence of anonymous-price competitive equilibrium. Our results are analogs of core equivalence results for linear prices in the standard assignment model, and for nonlinear, non-anonymous prices in the package assignment model with general valuations.
The (Heterogenous) Economic Effects of Private Equity Buyouts

The effects of private equity buyouts on employment, productivity, and job reallocation vary tremendously with macroeconomic and credit conditions, across private equity groups, and by type of buyout. We reach this conclusion by examining the most extensive database of U.S. buyouts ever compiled, encompassing thousands of buyout targets from 1980 to 2013 and millions of control firms. Employment shrinks 13% over two years after buyouts of publicly listed firms – on average, and relative to control firms – but expands 13% after buyouts of privately held firms. Post-buyout productivity gains at target firms are large on average and much larger yet for deals executed amidst tight credit conditions. A post-buyout tightening of credit conditions or slowing of GDP growth curtails employment growth and intra-firm job reallocation at target firms. We also show that buyout effects differ across the private equity groups that sponsor buyouts, and these differences persist over time at the group level. Rapid upscaling in deal flow at the group level brings lower employment growth at target firms.
Towards a Framework for Analysis of Human Behavior in VR-based Applications

Although begun as a fantasy of science fiction the Virtual Reality (VR) has found its way of becoming a reality. For today VR technology has transformed into a compelling entertainment and research medium. The given thesis suggest methodology alongside with a real-time data communication system for human behavior analysis in VR-based applications. The goal is achieved through describing development and concepts of a holistic VR-based application which is in turn used as a test-bed for a suggested framework. An experiment is employed to validate the method and system. Analysis of preliminary data provided the tendency of the VR towards acting as an excellent way of learning and confirmed the need for tutorial levels in VR-based applications. Given thesis suggest a way to gather versatile user behavior data from VR-based applications and secondly offers hypothetical reasoning why VR succeeds in providing education. The thesis is in English and contains 69 pages of text, 8 chapters, 12 figures, 6 tables.
IMPROVE COPY MOVE FORGERY IMAGE CLASSIFICATION BY OPTIMIZATION TECHNIQUE

In our society digital images are a powerful and widely used communication medium. They have an important impact on communication and IT industry. But, in this digital savvy world there is no doubt in saying “seeing is no more believing”. So detection is very important challenges for testing in forensic science. In past few years, research goes to detecting and classified for copy move forgery images for forensic requirement. In this paper methodology based on detection and classification by point based and block based features SIFT and SURF is done and uses Ant Colony Optimization in matching and feature selection phases respectively. In case of SIFT and SURF features and proposed SIFT with ACO features, classification is also done by using support vector machine with Gaussian and Polynomial kernel. It is found that SIFT with ACO technique outperforms on another techniques. Keywords— ACO, Gaussian Kernel, Polynomial Kernel, SIFT, SURF, SVM.
Evaluation of prediction equations to estimate gross , digestible , and metabolizable energy content of maize dried distillers grains with solubles ( DDGS ) for swine based on chemical composition

The objective of this study was to cross-validate prediction equations to estimate the concentration of GE, DE, and ME among sources of corn distillers dried grains with solubles (DDGS) with variable chemical composition in growing pigs. Published concentrations (DM basis) of GE, CP, ether extract (EE), NDF, and total dietary fiber (TDF) along with particle size (PS, m), bulk density (BD, g/cm3) and in vivo determinations of DE and ME from 45 sources of DDGS samples were obtained from 5 published studies. Prediction equations for GE (5 equations), DE (20 equations), and ME (19 equations) from published studies were used to calculate the concentration of GE, DE, and ME among DDGS sources and compare with experimentally determined in vivo values. Each equation was evaluated using the entire data set, and data sets that excluded data from which the equation was developed (cross-validation). Equations were compared for their overall explanation of variance (R2), precision for reduction in prediction error (PE, kcal/kg DM), and accuracy in deviation of the predicted mean from the overall observed mean (bias, kcal/kg DM). Prediction of GE concentrations among DDGS sources was poor (PE < 200 and biases > 150) despite moderate explanation of overall variance (R2 < 0.6). Therefore, we tested DE and ME equations that included GE as an input using the actual analyzed GE concentration of samples. Under this condition, the most precise (PE = 144) and accurate (bias = 19) DE equation was DE = −2,161 + (1.39 × GE) − (20.7 × NDF) − (49.3 × EE). The most precise (PE = 149) and accurate (bias = −82) ME equation was ME = −261 + (1.05 × GE) − (7.89 × CP) + (2.47 × NDF) − (4.99 × EE). Predicting GE with Abbreviations: ADF, acid detergent fiber; AOAC, Association of Official Analytical Chemists; CP, crude protein; DDGS, maize dried distillers grains with solubles; DE, digestible energy; DM, dry matter; EE, ether extract; GE, gross energy; ME, metabolizable energy; NDF, neutral detergent fiber; NSP, non–starch polysaccharides; TDF, total dietary fiber. Mention of a trade name, proprietary product, or specific equipment does not constitute a guarantee or warranty by the USDA or University of Minnesota and does not imply approval to the exclusion of other products that may be suitable. The USDA is an equal opportunity provider and employer. ∗ Corresponding author at: 335d Animal Science/Veterinary Medicine Bldg. , 1988 Fitch Ave., University of Minnesota, St. Paul, MN 55108, USA. Tel. : +1 612 624 2764; fax: +1 612 625 1210. E-mail address: shurs001@umn.edu (G.C. Shurson). 1 Current address: Chia Tai Animal Husbandry Investment (Beijing) Co., Ltd. http://dx.doi. org/10.1016/j.anifeedsci. 2014.09. 006 0377-8401/© 2014 Elsevier B.V. All rights reserved.
Présentation clinique et pronostic de la maladie du sommeil chez des enfants d'âge préscolaire au Sud-Soudan

Il existe peu de donnees concernant la maladie du sommeil due a T.b. gambiense chez les enfants. Nous comparons les caracteristiques demographiques, cliniques et therapeutiques d'enfants d'âge prescolaire (< 6ans) avec des patients plus âges. Les enfants d'âge prescolaires representent 6.1% (119) des 1958 patients traites de juin 2000 a decembre 2002 a Kiri (Sud-Soudan). Concernant les problemes neurologiques, seuls les troubles de la marche ou du langage sont plus rapportes au stade meningo-encephalitique. Le traitement par pentamidine (stade hemo-lymphatique) est sur et efficace. A contrario, la mortalite du melarsoprol est estimee a 4.9% et 46% des traitements sont interrompus dans ce groupe d'âge. L'encephalopathie arsenicale est moins frequente mais plus severe. En conclusion, la reconnaissance des stades de la maladie par des tests de laboratoire adaptes est essentielle au vu de la presentation clinique peu discriminative et de la haute toxicite du melarsoprol.
PR ] 9 S ep 2 01 9 Optimal portfolio with insider information on the stochastic interest rate

We consider the optimal portfolio problem where the interest rate is stochastic and the agent has insider information on its value at a finite terminal time. The agent’s objective is to optimize the terminal value of her portfolio under a logarithmic utility function. Using techniques of initial enlargement of filtration, we identify the optimal strategy and compute the value of the information. The interest rate is first assumed to be an affine diffusion, then more explicit formulas are computed for the Vasicek interest rate model where the interest rate moves according to an Ornstein-Uhlenbeck process. Incidentally we show that an affine process conditioned to its future value is still an affine process. When the interest rate process is correlated with the price process of the risky asset, the value of the information is proved to be infinite, as is usually the case for initial-enlargement-type problems. However, weakening the information own by the agent and assuming that she only knows a lower-bound or both, a lower and an upper bound, for the terminal value of the interest rate process, we show that the value of the information is finite. This solves by an analytical proof a conjecture stated in Pikovsky and Karatzas (1996).
Real time data acquisition and visualization software package for aerosol size spectrometer

In this report, we discuss about the design, development and implementation of the real-time data acquisition and visualization software package for the aerosol size spectrometer (TSI APS Model 3321) entitled Aerodynamic Particle Sizer Spectrometer TSI 3321 Data Acquisition and Visualization Software. The graphical user interface application software used for data acquisition, control and visualization has been developed in-house using Microsoft Visual Basic 2010.NET rapid application development object oriented programming language. The software package configures the APS 3321 and acquires its data in order to compute and display the aerosol number concentration in 52 pre-defined aerodynamic diameter bins. It also displays the real-time plot of the aerosol number, surface area or volume concentrations along with aerosol number concentration binned information for the size range: < 0.5 μm, 0.5 1.0 μm and > 1.0 μm. The details about the aerosol size spectrometer, data acquisition and visualization software are presented in this technical note. 1Space & Atmospheric Sciences Division, Physical Research Laboratory, Ahmedabad *Corresponding author: rajeshta@prl.res.in