Miracle-dz/UniFAR-FTUs huggingface dataset:
AN OSIRIS STUDY OF THE GAS KINEMATICS IN A SAMPLE OF UV-SELECTED GALAXIES: EVIDENCE OF “HOT AND BOTHERED” STARBURSTS IN THE LOCAL UNIVERSE

We present data from Integral Field Spectroscopy for three supercompact UV-Luminous Galaxies (ScUVLGs). As nearby (z ∼ 0.2) compact (R50 ∼ 1–2 kpc) bright Paschen-α sources, with unusually high star formation rates (SFR = 3–100 M☉ yr−1), ScUVLGs are an ideal population for studying detailed kinematics and dynamics in actively star-forming galaxies. In addition, ScUVLGs appear to be excellent analogs to high-redshift Lyman Break Galaxies (LBGs), and our results may offer additional insight into the dynamics of LBGs. Previous work by our team has shown that the morphologies of these galaxies exhibit tidal features and companions, and in this study we find that the dynamics of ScUVLGs are dominated by disturbed kinematics of the emission line gas—suggesting that these galaxies have undergone recent feedback, interactions, or mergers. While two of the three galaxies do display rotation, v/σ<1—suggesting dispersion-dominated kinematics rather than smooth rotation. We also simulate how these observations would appear at z ∼ 2. Lower resolution and loss of low surface brightness features cause some apparent discrepancies between the low-z (observed) and high-z (simulated) interpretations and quantitatively gives different values for v/σ, yet simulations of these low-z analogs manage to detect the brightest regions well and resemble actual high-z observations of LBGs.
Analysis of User Trajectories Based on Data Distribution and State Transition: a Case Study with a Massively Multiplayer Online Game Angel Love Online

At present, trajectory data, series of coordinate data traversed by moving objects, can be readily obtained due to the advent of positioning technologies. Clustering of trajectories and giving meanings to the resulting clusters is an active research area. Recently, we proposed an analysis approach that clusters trajectories in two steps: the first step based on data distribution and the second step based on state transition. In this approach, for coping with the distinguished characteristic of each trajectory, a map of interest is dynamically divided into multiple states, according to the trajectory distribution, and a quadtree is generated for each trajectory. The first-step clustering is then performed based on the differences between the quadtrees. For all trajectories in a resulting cluster of interest, the second-step clustering is further performed based on the differences in their state-to-state transition probabilities using a proposed method for comparing a pair of trajectories with different quadtree structures. In this paper, after presenting a procedure for visualizing a cluster of interest in order to interpret its movement behaviors, we give and discuss a case study where our approach is applied to real trajectory data obtained from Angel Love Online, a massively multiplayer online game, manifesting player behaviors in the target map.
The iab-7 Polycomb Response Element Maps to a Nucleosome-Free Region of Chromatin and Requires Both GAGA and Pleiohomeotic for Silencing Activity

ABSTRACT In the work reported here we have undertaken a functional dissection of a Polycomb response element (PRE) from the iab-7 cis-regulatory domain of the Drosophila melanogasterbithorax complex (BX-C). Previous studies mapped the iab-7PRE to an 860-bp fragment located just distal to the Fab-7boundary. Located within this fragment is an ∼230-bp chromatin-specific nuclease-hypersensitive region called HS3. We have shown that HS3 is capable of functioning as a Polycomb-dependent silencer in vivo, inducing pairing-dependent silencing of amini-white reporter. The HS3 sequence contains consensus binding sites for the GAGA factor, a protein implicated in the formation of nucleosome-free regions of chromatin, and Pleiohomeotic (Pho), a Polycomb group protein that is related to the mammalian transcription factor YY1. We show that GAGA and Pho interact with these sequences in vitro and that the consensus binding sites for the two proteins are critical for the silencing activity of theiab-7 PRE in vivo.
Investigating Organizational Self-control: A Willpower Perspective

Behavioral control theory attempts to explain how controllers can ensure controlees work towards controller goals. Prior studies underinvestigate organizational self-control, and produces mixed results. This paper theorizes and elaborates on the construct of organizational self-control, and how controllers can encourage controlees’ organizational self-control. Organizational self-control differs from “personal” self-control in that organizational self-control focuses on getting another individual (e.g., employee) to exert self-control to perform a controller’s task. Consonant with the personal self-control literature, we argue organizational self-control comprises (self) goals, (self) monitoring, and willpower. We further argue organizational self-control is a mediator between external controls (formal and clan control) and controlee performance. While the literature considers external controls’ influence on one’s goal and self-monitoring, it does not consider external controls’ impact on willpower. We demonstrate through a case study in product development that how control is enacted can impact willpower positively, leading to positive control outcomes.
Anomaly Detection In Secure Cloud Environments Using a Self-Organizing Feature Map (SOFM) Model For Clustering Sets of R-Ordered Vector-Structured Features

Cloud computing delivers services over virtualized networks to many end-users. Cloud services are characterized by such attributes as on-demand self-service, broad network access, resource pooling, rapid and elastic resource provisioning and metered services of various qualities. Cloud networks provide data as well as multimedia and video services. Cloud computing for critical structure IT is a relative new area of potential applications. Cloud networks are classified into private cloud networks, public cloud networks and hybrid cloud networks. Anomaly detection systems are defined as a branch of intrusion detection systems that deal with identifying anomalous events with respect to normal system behavior. A novel application of a Self-Organizing-Feature Map (SOFM) of reduced/aggregate sets of ordered vector structured features that are used for detecting anomalies in the context of secure cloud environments is herein proposed. Multivalue inputs consist of reduced/aggregate ordered sets of vector and binary features. The nodes of the SOFM - after training - are indicative of local distributions of feature measurements during normal cloud operation. Anomalies are detected as outliers of the trained SOFM. Each structured vector consists of binary as well as histogram data. The aggregated Canberra distance is used to order histogram data whereas the Jaccard distance is used for multivalue binary data. The so-called Cross-Order Distance Matrix is defined for both cases. The distance depends upon the selection of a similarity/distance measure and a method for operating upon the elements of the Cross-Order Distance Matrix. Several methods of estimating the distance between two ordered sets of features are investigated in the course of this paper.
On the probabilistic computation algorithm for the minimum-size stopping sets of LDPC codes

On the binary erasure channel, the performance of LDPC codes decoded by iterative algorithms is estimated by small-size stopping sets. We have proposed a probabilistic algorithm for computing the minimum size of stopping sets of LDPC codes. In this paper, we analyze the probability and the complexity of finding the minimum-size stopping sets, and give an error probability of determining the minimum size of stopping sets after processing our algorithm. Additionally, we show the numerical results of computing the minimum size of stopping sets of several LDPC codes. In these result, we could compute the minimum size of stopping sets with high reliability.
Using Guidelines to assist in the Visualisation Design Process

The design process of any visualisation involves many design decisions. One way to assist with these design decisions is to provide guidelines. This paper introduces the MS-Guidelines and the rationale behind them. The MS-Guidelines form a group of structured guidelines intended to help in designing not just visual but also multi-sensory displays of abstract data. They are organised by using the structure and concepts of the MS-Taxonomy. This taxonomy functions as a framework that allows guidelines to be categorised at different levels of detail. High-level or general guidelines can support early design considerations. More detailed, low-level guidelines provide support for more specific design decisions. To assist the designer use the guidelines they are incorporated into a multi-sensory design process called the MS-Process. An introduction to the MS-Taxonomy and the MS-Process is provided and discussed briefly in the context of information visualisation. A summary of the MS-Guidelines for visual display design are also presented.
CoVidA: pen-based collaborative video annotation

In this paper, we propose a pen-based annotation tool for videos. Annotating videos is an exhausting task, but it has a great benefit for several communities, as labeled ground truth data is the foundation for supervised machine learning approaches. Thus, there is need for an easy-to-use tool which assists users with labeling even complex structures. For outlining and labeling the shape of an object, we introduce a pen-based interface which combines pen and touch input. In our experiments we show that especially for complex structures the usage of a pen device improves the effectiveness of the outlining process.
Transmission Parameters of Metallic Cables under Extreme Temperatures

This paper deals with the measurement and modeling of transmission parameters of metallic cables under extreme temperatures. Metallic cables are often used in hazardous environments and for many critical applications, in which the fire events can occur, e.g. as signaling cables for temperature and fire sensors etc. These cables usually have special fire resistant and retardant coatings and shielding to be able to resist longer during extreme temperatures (fire) compared to the standard cables with polymer (PE, PVC) coatings. However, the transmission characteristics of metallic cables, such as the attenuation and crosstalk, are significantly dependent on the surrounding temperature as well. There are already several models and simulations to describe the temperature influence on transmission characteristics of standard metallic cables, however, these models are usually valid only for a limited temperature range. That is why measurements of a fire retardant metallic cable in special laboratory with certification for fire tests were performed and are presented within this article. These results were subsequently used to estimate models and simulations of typical fire events and their influence on transmission characteristics of metallic cables.
A comparative study of statistical features of language in blogs-vs-splogs

Language usage in Blogs deviate from the language used in traditional corpora largely due to the noise from various causes like spelling errors, grammatical irregularity, overuse of abbreviations and symbolic characters like emoticons. Spam Blogs or Splogs comprise the subset of blogs, which are usually written to target specific audience for marketing promotions and are mostly generated by software that readily imitates Zipfian distribution of words. Therefore it becomes a difficult task to separate splogs from non-splogs using only frequentist distribution of unigrams. In this detailed comparative study we present and highlight several additional statistical features of language, which are hard to imitate and serve as good discriminator between splogs and blogs.
Switching proportional EMG control of a 3D endpoint arm support for people with duchenne muscular dystrophy

Duchenne muscular dystrophy (DMD) is a disease resulting in progressive muscle degeneration. Active arm supports can improve the quality of life for people with DMD by augmenting the residual motor capabilities of their arm. As an extension of our previous study, this research aims at developing a EMG-based control interface to detect the user's movement intention required to control more than 1-DOF. The interface switches between two horizontal and one vertical translations. Translations are proportionally controlled by EMG. The passive interaction torques measured between the arm and the active arm support, are used to make the robot's endpoint resemble a gimbal mechanism. Hence decreasing the endpoint's DOF from six to three by actively reducing the impedance of the rotational DOF. A preliminary evaluation of the control method has been carried out with one healthy subject, within a series of 2-D horizontal tracing and 3-D horizontal-vertical reaching tasks. A pilot study was also conducted with a boy with DMD controlling the device in a 2-D horizontal tracing task. Performance was evaluated in terms of path efficiency, smoothness, task completion rate and time. The results indicate that the control method is able to successfully detect the intention of the user and translate it into the intended movement. Furthermore, the reduction of the endpoint's DOF, results in a simple yet functional controller able to support natural movements of the arm.
Under-actuated tank-like climbing robot with various transitioning capabilities

This paper presents a modular climbing robot connected by two passive compliant joints and featuring an active tail. The objective of this robot is to enable various internal and external transitions which are very challenging tasks for previously developed climbing robots. Realizing the transitions by an using under-actuated system without complex control is another contribution of this research. The robot is driven using a tread-wheel mechanism made of a flat sticky polymer to realize fast and robust climbing. Directional compliant joints are used between the two modules to increase the preload on each front wheel. An active tail is used at the end of the second module to compensate for the negative effects of the compliant joint forces. This combination of directional compliant joints and active tail also allows the robot to perform various internal and external transitions passively. The induced positive preload on the front wheels are analyzed and verified. Three types of internal transition and three types of external transition including a thin-wall transition are achieved by the robot prototype. The concept of the directional compliance with the active tail can be adopted to other climbing robots to enhance robustness and mobility.
NF-κB Induces Expression of the Bcl-2 Homologue A1/Bfl-1 To Preferentially Suppress Chemotherapy-Induced Apoptosis

ABSTRACT Recent evidence indicates that the transcription factor NF-κB is a major effector of inducible antiapoptotic mechanisms. For example, it was shown that NF-κB activation suppresses the activation of caspase 8, the apical caspase in tumor necrosis factor (TNF) receptor family signaling cascades, through the transcriptional regulation of certain TRAF and IAP proteins. However, it was unknown whether NF-κB controls other key regulatory mechanisms in apoptosis. Here we show that NF-κB activation suppresses mitochondrial release of cytochrome cthrough the activation of the Bcl-2 family member A1/Bfl-1. The restoration of A1 in NF-κB null cells diminished TNF-induced apoptosis by reducing the release of proapoptotic cytochromec from mitochondria. In addition, A1 potently inhibited etoposide-induced apoptosis by inhibiting the release of cytochromec and by blocking caspase 3 activation. Our findings demonstrate that A1 is an important antiapoptotic gene controlled by NF-κB and establish that the prosurvival function of NF-κB can be manifested at multiple levels.
Multi-agent geosimulation for a water distribution System

This paper aims to show a multi-agent geosimulation for a water distribution system that has been designed and developed according to the conceptual and methodological guidelines that dictates a theoretical reference model presented in [1]. The domain of geosimulación system is in the field of Disaster Management and Risk Reduction, The system is oriented to public service and simulates the occurrence of changes in the dynamics of rain on a particular geography that could mean periods of drought. The construction of the system is a planned process of reuse of complete and entire architectures. For this purpose have been used for the construction of the experimental framework, functional simulation system as EpaNet and GALATEA, GIS such as gvSIG, and system integration architectures for distributed simulation such as HLA.
Notes on Orientifolds of Rational Conformal Field Theories

We review and develop the construction of crosscap states associated with parity symmetries in rational conformal field theories. A general method to construct crosscap states in abelian orbifold models is presented. It is then applied to rational U(1) and parafermion systems, where in addition we study the geometrical interpretation of the corresponding parities.
Solar power conversion efficiency in modulated silicon nanowire photonic crystals

It is suggested that using only 1 μm of silicon, sculpted in the form of a modulated nanowire photonic crystal, solar power conversion efficiency in the range of 15%–20% can be achieved. Choosing a specific modulation profile provides antireflection, light trapping, and back-reflection over broad angles in targeted spectral regions for high efficiency power conversion without solar tracking. Solving both Maxwell's equations in the 3D photonic crystal and the semiconductor drift-diffusion equations in each nanowire, we identify optimal junction and contact geometries and study the influence of the nanowire surface curvature on solar cell efficiency. We demonstrate that suitably modulated nanowires enable 20% efficiency improvement over their straight counterparts made of an equivalent amount of silicon. We also discuss the efficiency of a tandem amorphous and crystalline silicon nanowire photonic crystal solar cell. Opportunities for “hot carrier” collection and up-conversion of infrared light, enhanced by.
Transcatheter Atrial Septal Defect Closure under Transthorasic Echocardiography in Children

Objective Atrial septal defect (ASD) device closure is routinely done under the guide of transesophageal or intracardiac echocardiography which are expensive techniques and not easily affordable in developing countries. Methods Using metallic devices, we attempted 32 ASD device closures under transthoracic echocardiography. Findings Of those, 30 procedures were successful (94 %). In two patients with relatively large ASD we encountered difficulty in positioning the device. These patients were referred for surgical closure. Conclusion ASD device closure can be carried out successfully in most patients under transthoracic echocardiography in situations where transesophageal or intravenous echocardiographies are not available or affordable.
Small dose of propofol combined with dexamethasone for postoperative vomiting in pediatric Moyamoya disease patients: a prospective, observer-blinded, randomized controlled study

Background For effective postoperative antiemetic management in pediatric moyamoya disease patients receiving fentanyl based postoperative analgesia, a multimodal approach has been recommended. The uncertain efficacy of ondansetron for pediatric neurosurgical patients or the possible antiemetic effect of small dose of propofol motivated us to evaluate the preventive effect of a subhypnotic dose of propofol combined with dexamethasone on postoperative vomiting (POV), especially during immediate postoperative periods. Methods In a prospective observer-blind randomized controlled study, we compared dexamethasone 0.15 mg/kg alone (Group D) with dexamethasone combined with propofol of 0.5 mg/kg (Group DP) in 60 pediatric patients, aged 4-17 years, who underwent indirect bypass surgery and received fentanyl-based postoperative analgesia. Occurrence of vomiting and pain score (Wong-Baker facial score) and requirement of rescue analgesic and antiemetic were continually measured (0-2, 2-6, 6-12 and 12-24 postoperative hours). For statistical analysis, in addition to the Fisher's exact test, a generalized linear mixed model (GLMM) and the linear mixed model (LMM) for repeated measures were used for vomiting and pain scores, respectively. Results There was no statistical significance of POV incidence, requirement of rescue analgesic and pain score between the two groups at any measured intervals. The incidence of POV was 53.3% during 24 hours in both groups, and was especially 6.7% and 13.3% (P = 0.671) during 0-2 hr and 16.7% and 23.3% (P = 0.748) during 2-6 hr in group D and group DP, respectively. Conclusions A small dose of propofol combined with dexamethasone appears ineffective to preventing POV in pediatric moyamoya patients receiving continuous fentanyl infusion.
Technology in Purchasing: Impacts on Performance and Future Confidence

This study investigates how top Finance & Accounting managers perceive the performance implications of adopting technologies to improve Purchasing processes. Based on a large-sample (454) survey, we employ multivariate data analysis techniques to specifically provide insights into how e-Purchasing impacts organizational performance. We model a theoretical construct of e-Purchasing and empirically confirm our literature-based hypotheses that e-Purchasing strongly and positively correlates with the integration between the Finance and Purchasing departments, improves the operational performance within these departments, and positively affects the confidence of managers in future organizational performance in the face of internal and external risk. We discuss implications for purchasing and supply researchers and practitioners as well as areas for further research.
Towards privacy-preserving fault detection

In this paper, we discuss the problem of detecting general faults in distributed systems that handle confidential information. Detecting non-crash faults is difficult in this setting because, to check the behavior of a given node, we need to know its expected behavior -- but that can depend on the confidential information. Classical zero-knowledge proofs are difficult to apply because they are designed to verify functions with a fixed number of inputs, but in many distributed systems, both the size and the number of a node's "inputs" (the messages it has received from other nodes) are not known. We propose an approach that can efficiently provide zero-knowledge fault detection for certain systems. Our approach spreads the detection tasks across multiple nodes, leveraging a node's existing knowledge whenever possible. We use epistemic reasoning to infer such knowledge, and we combine classical zero-knowledge proofs with a special data structure to handle inputs of unknown size. We show how our approach can be applied to a simple example system, and we report some initial performance measurements.
SUPERLUMINARY UNIVERSE: A POSSIBLE SOLUTION TO THE INITIAL VALUE PROBLEM IN COSMOLOGY

The spontaneous breaking of local Lorentz invariance in the early Universe, associated with a first order phase transition at a critical time tc, generates a large increase in the speed of light and a superluminary communication of information occurs, allowing all regions in the Universe to be causally connected. This solves the horizon problem, leads to a mechanism of monopole suppression in cosmology and can resolve the flatness problem. After the critical time tc, local Lorentz (and diffeomorphism) invariance is restored and light travels at its presently measured speed. The kinematical and dynamical aspects of the generation of quantum fluctuations in the superluminary Universe are investigated. A scale invariant prediction for the fluctuation density amplitude is obtained.