Miracle-dz/UniFAR-FTUs huggingface dataset:
LFs from an ∼ 10 deg 2 NB survey 2305

We present results from the largest contiguous narrow-band survey in the near-infrared. We have used the wide-field infrared camera/Canada–France–Hawaii Telescope and the lowOH2 filter (1.187 ± 0.005 μm) to survey ≈10 deg2 of contiguous extragalactic sky in the SA22 field. A total of ∼6000 candidate emission-line galaxies are found. We use deep ugrizJK data to obtain robust photometric redshifts. We combine our data with the High-redshift(Z) Emission Line Survey (HiZELS), explore spectroscopic surveys (VVDS, VIPERS) and obtain our own spectroscopic follow-up with KMOS, FMOS and MOSFIRE to derive large samples of highredshift emission-line selected galaxies: 3471 Hα emitters at z= 0.8, 1343 [O III] + Hβ emitters at z = 1.4 and 572 [O II] emitters at z = 2.2. We probe comoving volumes of >106 Mpc3 and find significant overdensities, including an 8. 5σ (spectroscopically confirmed) overdensity of Hα emitters at z = 0.81. We derive Hα, [O III] + Hβ and [O II] luminosity functions at z = 0.8, 1.4, 2.2, respectively, and present implications for future surveys such as Euclid. Our uniquely large volumes/areas allow us to subdivide the samples in thousands of randomized combinations of areas and provide a robust empirical measurement of sample/cosmic variance. We show that surveys for star-forming/emission-line galaxies at a depth similar to ours can only overcome cosmic-variance (errors <10 per cent) if they are based on volumes >5 × 105 Mpc3; errors on L∗ and φ∗ due to sample (cosmic) variance on surveys probing ∼104 and ∼105 Mpc3 are typically very high: ∼300 and ∼40–60 per cent, respectively.
Motion Control of Seven-Link Human Bipedal Model

This paper discusses development of the mathematical model for a planar seven-link bipedal model which is comprised of an upper body and two legs (thigh, shank and feet in every leg). In sagittal plane, the bipedal model possesses seven degrees of freedom (DOF). Procedures of kinematic model and dynamic model constructions are presented in this paper. Kinematic model includes the coordinates of center of mass that used in the mathematical model procedure. The mathematical model for dynamic equations of motion based on the absolute angle is obtained using Lagrange’s equations. Then, a dimension transformation of mathematical model into relative angles was performed. New inertia matrix of the transformed equations was verified to be symmetric. To investigate the performance of the seven-link bipedal robot using the obtained mathematical mode, a simulation was conducted. The results from the simulation show that the dynamic equations of motion of the model are successfully achieved tracking the reference trajectories by giving small error value of every joint in the model. As conclusion, this equation is able to be used to investigate the motion control of seven-link human bipedal model. Key-Words: seven-link human biped model, Lagrange’s Equation, computed torque control
A Study on the Relationships among Body Sensory Experience, Customer Satisfaction and Customer Loyalty-Beauty SPA Center as an Example

The purpose of this study is to explore influential factors of SPA center customer loyalty. Sample data of consumers of SPA shops are collected by way of non-random sampling method to facilitate questionnaires. 232 out of 265 questionnaires are received, in which 31 questionnaires are invalid such that 201 questionnaires are valid, and the effective response rate is 75.8%. The results obtained are listed as follows: 1) Sensory experience has a significantly positive impact on customer satisfaction and customer loyalty respectively. 2) Customer satisfaction has a significantly positive impact on customer loyalty. 3) Customer satisfaction has a significant mediation effect on the relationships between sensory experience and customer loyalty.
End-to-End Delay Analysis and Optimization of Object Detection Module for Autonomous Driving

To develop a safe autonomous driving system, the delay from camera to output of its object detection module should be thoroughly analyzed and optimized. However, surprisingly little attention has been paid to this end-to-end delay of DNN-based object detectors. To the best of our knowledge, this study is one of the first attempts to analyze the internal architecture of Darknet YOLO object detector in terms of its end-to-end delay. Based on the analysis result, we propose an optimized system architecture by our modified pipeline strategy that satisfies the object detector’s needs in general. Our empirical evaluation shows that the end-to-end delay drops to 229 ms (from 1,335 ms) on our evaluation platform, which is an 83% reduction. Note that we only modify the system architecture and do not change the DNN architecture itself; hence there is no penalty on the detection accuracy. Our demo is available at https://youtu.be/n3pr3s09Fs4.
An Automated Approach for Answer Script Evaluation Using Natural Language Processing

The answer script evaluation is an important part of assessing the student’s performance. Typically, the answer script evaluation is done manually which sometimes can be biased. The evaluation depends on the various factors like mood swing of the evaluator, the relation of the student and evaluator. Along with the evaluation is a very tedious work and very time-consuming. In this paper, a digital method based on natural language processing (NPL) is proposed for automatically answer script evaluation. The experiment consists of text extraction from answer script, measure various similarities from summarized extracted text and assign the weight value to each calculated parameter to score the marks to the answer script. For summary generation from the extracted text, we have used keyword-based summarization techniques. Here four similarity measures (Cosine, Jaccard, Bigram, and Synonym) are calculated which has used later as parameters for final marks scoring. The experiment has evaluated answer script effectively and most of the cases the assigned marks is very close to the manually scored marks.
Differentially Marked IncP-1β R751 Plasmids for Cloning via Recombineering and Conjugation

Abstract We demonstrate here for the first time the use of an IncP-1β plasmid, R751, as a gene capture vehicle for recombineering/conjugation strategies to clone large segments of bacterial genomes (20 – 100 + Kb). We designed R751 derivatives containing alternative markers for greater flexibility when using the R751 vehicle across different bacteria. These markers are removable if desired as part of the cloning procedure (with no extra steps needed). We demonstrated utility via cloning of 38 and 22 kb genomic segments from Salmonella enterica serovar Typhimurium and Escherichia coli, respectively. The plasmids expand the options available for use in recombineering/conjugation-based cloning applications.
Equivariant connective K-theory

For separated schemes of finite type over a field with an action of an affine group scheme of finite type, we construct the bi-graded equivariant connective K-theory mapping to the equivariant K-homology of Guillot and the equivariant algebraic Ktheory of Thomason. It has all the standard basic properties as the homotopy invariance and localization. We also get the equivariant version of the Brown-Gersten-Quillen spectral sequence and study its convergence.
Decentralization of wage determination

Despite a global trend of wage decentralization over the past 30 years, we know very little about the labor market implications of decentralized wage determination. A main reason is the lack of exogenous variation in wage regulation linked to detailed outcome data. Using Swedish registry data and exploiting a reform that replaced the fixed national pay scale for teachers with individual wage bargaining, I overcome these issues and provide new evidence on the labor market effects of wage decentralization. The paper presents three sets of empirical results. First, I show that the reform significantly changed the wage structure of teachers. Second, I demonstrate that these wage changes did not affect teacher composition or student outcomes. Finally, I find support for a wage spillover effect to substitute occupations, providing evidence on the dynamics of wage determination across occupations. I argue that the wage spillover effect coupled with the compressed Swedish wage structure likely explains the lack of effects on teacher and student outcomes. Keywords: I20, I28, J31, J45 JEL-codes: Wage Regulation, Decentralization, Teacher Labor Market
LARGE-BANDWIDTH MEASUREMENT OF ACOUSTIC INPUT IMPEDANCE OF TUBULAR OBJECTS

Experimental determination of the acoustic impedance of tubular objects using a measurement duct with an array of microphones in its wall is considered. A method is proposed in which the influence of the microphone transfer-functions and the discontinuities in the measurement duct are accounted for via a series of calibration measurements with closed tubes. The effects of varying the number of microphones and calibration tubes is studied. Theoretical results show that uniform spacing of both the microphones and calibration tube lengths yields the smallest error within the effective measurement frequency range.
Steady Electron Runaway Model SERM: Astrophysical Alternative for the Maxwellian Assumption

A Steady Electron Runaway Model (SERM) is formulated describing plasmas in the astrophysical “condition” having finite (rather than infinitesimal) Knudsen number, , suggesting an omnipresent leptokurtic, nonthermal, and heat-conducting electron velocity distribution function (eVDF) as the replacement for the Maxwellian ansatz typically made. The shape parameters of SERM’s eVDFs are functionals of the local dimensionless electric field, , shown to be nearly interchangeable with the pressure Knudsen number, . The eVDF is determined by the total density and pressure, heat flux, and with the Maxwellian as a special case when . The nonthermal part of the eVDF is caused by local and global runaway physics and its density fraction is monotonically dependent on . SERM explains the distinguishable conduction band of suprathermal electrons to be the result of the inhomogeneities of astroplasmas that require to enforce quasi-neutrality. SERM shows that the direction of the heat flow should be that of . Almost all reported space age correlations among the shape parameters of the solar wind eVDF are reproduced by this modeling, including scaling of: (i) nonthermal spectral break energy, and (ii) partition of suprathermal density and partial pressure, with solar wind speed. SERM, together with eVDF observations, indirectly bracket , producing a steady-state eVDF, consistent with in situ (i) heat flows, (ii) strahl pitch angle features in high-speed winds, (iii) , and (iv) non-negative probability at all velocities. Because finite is the identified prerequisite for SERM modeling, nonthermal eVDF’s are expected nearly everywhere in astrophysics where .
Ultrasonography of carotid stenosis

The classification of internal carotid artery stenosis is of great impact. The degree of stenosis is the main criterion for the decision between an invasive or non-invasive treatment of extracranial internal carotid artery (ICA) stenoses. By now the North American Symptomatic Carotid Endarterectomy Trial (NASCET) criteria have been internationally approved for radiological grading. According to NASCET the stenosed lumen is compared with the lumen of the distal internal carotid artery. All ultrasound criteria do have limitations and can therefore cause pitfalls in determining the degree of stenosis using one criterion exclusively. Therefore a multi-parametric grading of stenoses should be favored. The multi-parametric “DEGUM” ultrasound criteria have been revised and a novel differentiation between main (primary) and additional (secondary) criteria has been proposed. Recently a similar consensus was reached by the Neurosonology Research Group (NSRG) of the World Federation of Neurology (WFN). Main criteria include the following: imaging of the stenosis in B-mode sonography; visualization of the stenosis by color-coded imaging of flow; measurement of the maximum systolic flow velocity in the area of greatest narrowing of the lumen; systolic flow velocity measurement in the poststenotic segment; assessment of the collateral supply. Additional criteria include the following: indirect findings of an internal carotid artery stenosis in the common carotid artery; evidence of flow disturbances; end-diastolic flow velocity in the area of greatest narrowing of the lumen; the so-called confetti-sign; the carotid ratio. The main advantage of a multi-parametric grading of ICA stenoses is the synergetic effect of the different single criterion. Combining these ultrasound criteria, neurosonography allows reliable grading of carotid stenoses as a basis for decision making.
Retopology and Simpli cation of Reality-based Models for Finite Element Analysis

Reality-based 3D techniques and Finite Element Analysis share the way the object under investigation is discretized. Although their purpose, the generation methods and the quality metrics are di erent, both of them ground on the concept of mesh. Unfortunately, a mesh derived from a reality-based technique are not suitable to be used in a nite element solver directly. This paper aims at comparing di erent methods to prepare computational mesh of geometries derived from non-contact reality-based technologies. A benchmark test object has been acquired with di erent devices, a triangulation laser scanner, a multi-stripe triangulation scanner and a digital camera, and post processed in order to x artifacts. Then, two di erent decimation approaches have been used: a triangular simpli cation and retopology. The acquired geometry, before and after the simpli cations, has been compared with a CAD model employed as reference: mean and standard deviation between the nominal and the acquired geometries have been tracked. Finally, a tensile test has been simulated making use of a general-purpose nite element analysis software and the results have been compared with the exact solution.
An examination of oral articulation of vowel nasality in the light of the independent effects of nasalization on vowel quality

In this paper, a summary is given of an experimental technique to address a known issue in research on the independent effects of nasalization on vowel acoustics: given that the separate transfer functions associated with the oral and nasal cavities are merged in the acoustic signal, the task of teasing apart the respective effects of the two cavities seems to be an intractable problem. The results obtained from the method reveal that the independent effects of nasalization on the acoustic vowel space are: F1-raising for high vowels, F1-lowering for non-high vowels, and F2-lowering for non-front vowels. The results from previous articulatory research performed by the author on the production of vowel nasality in French, Hindi, and English are discussed in the light of these independent effects of nasalization on vowel quality.
Line Scan Cameras

This paper presents a general approach for the simultaneous tracking of multiple moving targets using a generic active stereo setup. The problem is formulated on the plane, where cameras are modeled as “line scan cameras,” and targets are described as points with unconstrained motion. We propose to control the active system parameters in such a manner that the images of the targets in the two views are related by a homography. This homography is specified during the design stage and, thus, can be used to implicitly encode the desired tracking behavior. Such formulation leads to an elegant geometric framework that enables a systematic and thorough analysis of the problem at hand. The benefits of the approach are illustrated by applying the framework to two distinct stereo configurations. In the first case, we assume two pan-tilt-zoom cameras, with rotation and zoom control, which are arbitrarily placed in the working environment. It is proved that such a stereo setup can track up to N = 3 free-moving targets, while assuring that the image location of each target is the same for both views. The second example considers a robot head with neck pan motion and independent eye rotation. For this case, it is shown that it is not possible to track more than N = 2 targets because of the lack of zoom. The theoretical framework is used to derive the control equations, and the implementation of the tracking behavior is described in detail. The correctness of the results is confirmed through simulations and real tracking experiments.
Anger Detection in Social Media for Resource Scarce Languages

Emotion Detection from text is a recent field of research that is closely related to Sentiment Analysis. Emotion Analysis aims to detect and recognize different types of feelings through the expression of texts, such as anger, disgust, fear, happiness, sadness, surprise etc. Identifying emotion information from social media, news articles and other user generated content has a lot of applications. Current techniques heavily depend on emotion and polarity lexicons; however, such lexicons are only available in few resource rich languages and this hinders the research for resource scarce languages. Also, social media texts in Indian languages have distinct features such as Romanization, code mixing, grammatical and spelling mistakes, which makes the task of classification even harder. This research addresses this task by training a deep learning architecture on large amount of data available on social media platforms like Twitter, using emojis as proxy for emotions. The model’s performance is then evaluated on a manually annotated dataset. This work is focused on Hindi language but the techniques used are language agnostic and can be used for other languages as well.
Mock elections as a way to cultivate democratic development and a democratic school culture

Over the last decades, many European Union countries have invested in strengthening participatory learning in citizenship education policy and practice. This survey study provides insight into how high school teachers in the Netherlands advance critical democratic citizenship and a democratic school culture in the context of mock elections. A quarter of the schools that organized mock elections in 2017 participated in the study. Analysis reveals that attention for critical, valuerelated teacher aims and teacher aims directed at strengthening a democratic school culture is still limited in mock election-related education. It also shows that half of the participating schools offer less than one hour of mock electionrelated educational activities, and that one-third of the teachers would like to offer additional educational activities.
Learning a peripersonal space representation using Conditional Restricted Boltzmann Machine

We present a neural network learning architecture composed of a Restricted Boltzmann Machine (RBM) and a Conditional RBM (CRBM) that performs multisensory integration and prediction, motivated by the problem of learning a representation of defensive peripersonal space. This work follows up on our previous work (Straka and Hoffmann 2017) where we proposed a network composed of a RBM and a feedforward neural network (FFNN). In this work, with a similar 2D simulated scenario, we sought to replace the FFNN with an RBMlike module and opted for the CRBM which is responsible for making a temporal prediction. We demonstrate that the new architecture is capable of learning to map from visual and tactile inputs at a previous time step (without tactile activation) to future activations with the visual stimulus at the “skin” and corresponding tactile activation, including the confidence of the predictions.
WORDNETS MAPPED TO CENTRAL ONTOLOGY – 1

The deliverable describes the progress that has been made toward ontologizing the OntoWordNet with respect to the ontological meta properties of rigidity and non-rigidty, and the progress that has been made toward mapping the Dutch, English, and Italian wordnets onto OntoWordNet. We give a typology of wordnet to ontology mappings, and finally we provide a preliminary discussion of cross lingual rigidity validation within the context of the KYOTO framework. D6.3: Wordnets Mapped to Central Ontology 3/33 KYOTO: ICT-211423 3-3-2009 Table of Content
A Historical Developmental Look at City and Security Perspectives

Environmental Criminology approach is formed by Ray Jeffery in the beginning of 70s by his studies. He wrote a book where he explained possible ways of preventing crime by designing the environment that the crime takes place. Still, historical developments that formed a theoretical basis on the relationship between environment design and crime have to be explained. First references made to Durkheim’s theory of anomie. Ecological approach would be the basis for social disorganization theory and Chicago school studies. Robert Park and Ernest Burgess’s research and contributions led to concentric zone theory. Shaw and McKay’s Chicago based research were also deepened the relationship between environmental and crime. Those studies and many more formed a basis for Jeffery’s research and a new approach aroused. Jeffery wanted to prevent criminal acts by making the potential individual away from crime by focusing on the environment where the crime occurs. Environment in general consists of architecture (physical design of places), built environment (roads, use of lands, construction types), public and social places. While natural environments are also important, design includes mostly built environments. Humans also have to adapt to the changes in their environments. Crime acts, by this means, can be seen as acts of adaptation to the environments. An efficient environment would be seen as places where acts of crime are not optimal choice for individuals. Oscar Newman searched for designing principles for urban environments for acts that do not include crime. In this study, a historical summary is offered by including the general topics that are mentioned. In addition to historical perspectives of the relationship between environment and crime, how previous research is used today is also discussed.
Atmospheric circulation patterns of heavy precipitation in warm season in Iran

In the warm season, with migration west winds to higher latitudes and thus exiting west cyclones from most parts of the Iran, precipitation decreased severely. In certain conditions expands Indian monsoon summer systems to Arabian Sea and create positive vorticity over the area. Sometimes cyclones formed in Arabian Sea curves to Iran and occurs precipitation, especially in the Southeast. In this paper were determined heavy precipitation patterns in the warm season (June to August) in Iran. If at least 10 mm of precipitation were observed at one day, the event was defined as heavy. A cluster analysis on the data in surface and middle level of geopotential height during the period showed five patterns in surface level and six patterns in the middle level. In all patterns of surface level established Lowlong pressure from the Bay of Bengal to the southwest of Iran that can transfer Arabian sea cyclonic systems and produce precipitation over Iran. At the middle level patterns, the subtropical high pressure was stronger and expanded east ward and act as a source of downstream Rossby wave train over Eurasian region. Moisture flux convergence maps at the surface level show moisture enter from the tropics to the system, however humidity resources in Iran are very complicated. In 700 hPa east ward current humidity show in this level humidity transfer from west humidity source to monsoon systems. Identifying patterns can help better understand the process of formation of monsoon precipitation, forecasts and planning to use of it.