Miracle-dz/UniFAR-FTUs huggingface dataset:
SQLtoKeyNoSQL: a layer for relational to key-based NoSQL database mapping

Today, many applications produce and manipulate a large volume of data, the so-called Big Data. Traditional databases (DB), like relational databases, are not suitable to Big Data management. In order to solve this problem, a new category of DB has been proposed, the so-called NoSQL DB. NoSQL DB have different data models, as well as different access methods which are not usually compatible with the SQL language. In this context, approaches have been proposed for providing mapping of relational DB schemata and operations to equivalent ones in NoSQL DB to deal with large relational data sets in the cloud, focusing on scalability and availability. However, these approaches map relational DB only to a single NoSQL data model and, sometimes, to a specific NoSQL DB product. This paper presents SQLtoKeyNoSQL, a layer able to translate relational schemata as well as SQL commands to equivalent schemata and access methods to any key-oriented NoSQL DB (document-oriented, key-value and column-oriented). We present the architecture of our layer focusing on our mapping strategies, as well as some preliminary experiments that evaluate the impact of SQLtoKeyNoSQL as a solution for transparent mapping of relational DB to key-based NoSQL DB.
Augmented Reality Based Museum Guidance System for Selective Viewings

There have been several museum and exhibition guidance systems that are based on RFID and visual tags. Using these systems, additional information on the paintings and exhibits may be provided in the forms of text, image, speech, and video. However, at museums and exhibitions, many tourists are often interested in exhibits of some particular style, authors, or coteries. Previously developed guide systems do not provide such functionality to the best of our knowledge. The proposed Augmented Reality based guidance system may guide the users to exhibits of their interest for selective viewings. Location of the next exhibit of interest may be informed to the users as well as additional multimedia information on the exhibits of interest. Such information is shown on the Augmented Reality views of the user's display device. The proposed system is composed an Ultra-Mobile PC (UMPC), an inertia tracker, and a camera. In the beginning, the user may select his/her preference on the exhibits from the menu, and then the system starts guiding by showing the relative orientation, distance, and visual cue to find match. When the user finds and locates the matching visual cue within a matching box of the display screen, the system provides multimedia information on the exhibit. According to the preliminary user test, the proposed system is convenient and useful for navigating through large-scale exhibitions.
Snapshots of the EYES project

The EYES project (IST-2001-34734) is a three years European research project on self-organizing and collaborative energy-efficient sensor networks. It addresses the convergence of distributed information processing, wireless communications, and mobile computing. The goal of the project is to develop the architecture and the technology which enables the creation of a new generation of sensors that can effectively network together so as to provide a flexible platform for the support of a large variety of mobile sensor network applications. This paper provides a broad overview of the EYES project and highlights some approaches and results of the architecture.
A Retinal-Specific Regulator of G-Protein Signaling Interacts with Gαo and Accelerates an Expressed Metabotropic Glutamate Receptor 6 Cascade

Go is the most abundant G-protein in the brain, but its regulators are essentially unknown. In retina, Gαo1 is obligatory in mediating the metabotropic glutamate receptor 6 (mGluR6)-initiated ON response. To identify the interactors of Go, we conducted a yeast two-hybrid screen with constituitively active Gαo as a bait. The screen frequently identified a regulator of G-protein signaling (RGS), Ret-RGS1, the interaction of which we confirmed by coimmunoprecipitation with Gαo in transfected cells and in retina. Ret-RGS1 localized to the dendritic tips of ON bipolar neurons, along with mGluR6 and Gαo1. When Ret-RGS1 was coexpressed in Xenopus oocytes with mGluR6, Gαo1, and a GIRK (G-protein-gated inwardly rectifying K+) channel, it accelerated the deactivation of the channel response to glutamate in a concentration-dependent manner. Because light onset suppresses glutamate release from photoreceptors onto the ON bipolar dendrites, Ret-RGS1 should accelerate the rising phase of the light response of the ON bipolar cell. This would tend to match its kinetics to that of the OFF bipolar that arises directly from ligand-gated channels.
Hyperspectral Unmixing with Robust Collaborative Sparse Regression

Recently, sparse unmixing (SU) of hyperspectral data has received particular attention for analyzing remote sensing images. However, most SU methods are based on the commonly admitted linear mixing model (LMM), which ignores the possible nonlinear effects (i.e., nonlinearity). In this paper, we propose a new method named robust collaborative sparse regression (RCSR) based on the robust LMM (rLMM) for hyperspectral unmixing. The rLMM takes the nonlinearity into consideration, and the nonlinearity is merely treated as outlier, which has the underlying sparse property. The RCSR simultaneously takes the collaborative sparse property of the abundance and sparsely distributed additive property of the outlier into consideration, which can be formed as a robust joint sparse regression problem. The inexact augmented Lagrangian method (IALM) is used to optimize the proposed RCSR. The qualitative and quantitative experiments on synthetic datasets and real hyperspectral images demonstrate that the proposed RCSR is efficient for solving the hyperspectral SU problem compared with the other four state-of-the-art algorithms.
Spanish version of the Objectified Body Consciousness Scale (OBCS): results from two samples of female university students / Versión española de la Objectified Body Consciousness Scale (OBCS): resultados correspondientes a dos muestras de estudiantes universitarias

Abstract Self-objectification happens when people internalize a view of themselves as an object or collection of body parts. Two studies were conducted to validate the Spanish version of the Objectified Body Consciousness Scale (OBCS). This scale assesses self-objectification through three components: body surveillance, body shame and appearance control beliefs in women. In Study 1 and Study 2, 218 and 201 female undergraduate students, respectively, responded to the Spanish version of this scale and other related measures. In Study 2, they also reported on their emotions after being exposed to an objectifying scenario. The three subscales of the Spanish version of the OBCS showed acceptable indices of internal consistency (ranging between α = .68 to .84), and the confirmatory factor analysis showed a three-factor solution to be the most appropriate. Adequate convergent validity was found with respect to the Self-Objectification Questionnaire (SOQ) and other variables such as self-esteem, other-directedness, hostile sexism and enjoyment of sexualization. These findings suggest that the Spanish version of the OBCS is a satisfactory measure of college women’s self-objectification.
Validating Future Force Performance Measures (Army Class): Concluding Analyses

Abstract : The Army needs the best personnel to meet challenging and constantly changing demands. Accordingly, it is seeking recommendations on new predictor measures, in particular, measures of non-cognitive attributes (e.g., interests, values, temperament) that could enhance entry-level Soldier selection and classification decisions. The U. S. Army Research Institute for the Behavioral and Social Sciences (ARI) conducted concurrent and longitudinal criterion-related validity examinations of new measures to inform these recommendations. Data on experimental predictors were collected from over 600 Soldiers in the concurrent effort and about 11,000 Soldiers in the longitudinal effort. In the longitudinal examination, criterion data were collected from Solders at three career points-end of training, after about 12-24 months in-service, and again about a year later. In the present report, we expanded on previous analyses conducted in this Army Class program of research by (a) modeling the latent structure of the predictor and criterion space; (b) examining Soldier performance, attitudes, and continuance over time; (c) examining the individual differences that best predict Soldier outcomes; and (d) examining mediators and moderators of this predictive evidence, with particular emphasis on the role of Military Occupational Specialty. Results represent a significant extension of previous Army enlisted Soldier performance and continuance research.
Cornstarch effect: intensifying flow resistance for increasing DDoS attacks in autonomous overlays

Overlay networks are vital to the continued evolution of web services and content distribution. We propose a reactive mechanism to mitigate flooding attacks in overlay networks. Our approach enhances detection and filtering capability in accordance to the size of an attack. As the DDoS traffic flow increases, we intensify detection and scrubbing in a decentralized manner. Flow resistance increases to minimize penetration and attack flows from reaching their destination. We demonstrate their effectiveness in simulations.
A Critical Role of Erythropoietin Receptor in Neurogenesis and Post-Stroke Recovery

Erythropoietin (EPO) is the principal growth factor regulating the production of red blood cells. Recent studies demonstrated that exogenous EPO acts as a neuroprotectant and regulates neurogenesis. Using a genetic approach, we evaluate the roles of endogenous EPO and its classical receptor (EPOR) in mammalian neurogenesis. We demonstrate severe and identical embryonic neurogenesis defects in animals null for either the Epo or EpoR gene, suggesting that the classical EPOR is essential for EPO action during embryonic neurogenesis. Furthermore, by generating conditional EpoR knock-down animals, we demonstrate that brain-specific deletion of EpoR leads to significantly reduced cell proliferation in the subventricular zone and impaired post-stroke neurogenesis. EpoR conditional knockdown leads to a specific deficit in post-stroke neurogenesis through impaired migration of neuroblasts to the peri-infarct cortex. Our results suggest that both EPO and EPOR are essential for early embryonic neural development and that the classical EPOR is important for adult neurogenesis and for migration of regenerating neurons during post-injury recovery.
Exploring affective design for physical controls

Physical controls such as knobs, sliders, and buttons are experiencing a revival as many computing systems progress from personal computing architectures towards ubiquitous computing architectures. We demonstrate a process for measuring and comparing visceral emotional responses of a physical control to performance results of a target acquisition task. In our user study, participants experienced mechanical and rendered friction, inertia, and detent dynamics as they turned a haptic knob towards graphical targets of two different widths and amplitudes. Together, this process and user study provide novel affect- and performance-based design guidance to developers of physical controls for emerging ubiquitous computing environments. Our work bridges extensive human factors work in mechanical systems that peaked in the 1960's, to contemporary trends, with a goal of integrating mechatronic controls into emerging ubiquitous computing systems.
Defective Angiogenesis Delays Thrombus Resolution: A Potential Pathogenetic Mechanism Underlying Chronic Thromboembolic Pulmonary Hypertension

Objective—Restoration of patency is a natural target of vascular remodeling after venous thrombosis that involves vascular endothelial cells and smooth muscle cells, as well as leukocytes. Acute pulmonary emboli usually resolve <6 months. However, in some instances, thrombi transform into fibrous vascular obstructions, resulting in occlusion of the deep veins, or in chronic thromboembolic pulmonary hypertension (CTEPH). We proposed that dysregulated thrombus angiogenesis may contribute to thrombus persistence. Approach and Results—Mice with an endothelial cell–specific conditional deletion of vascular endothelial growth factor receptor 2/kinase insert domain protein receptor were used in a model of stagnant flow venous thrombosis closely resembling human deep vein thrombosis. Biochemical and functional analyses were performed on pulmonary endarterectomy specimens from patients with CTEPH, a human model of nonresolving venous thromboembolism. Endothelial cell–specific deletion of kinase insert domain protein receptor and subsequent ablation of thrombus vascularization delayed thrombus resolution. In accordance with these findings, organized human CTEPH thrombi were largely devoid of vascular structures. Several vessel-specific genes, such as kinase insert domain protein receptor, vascular endothelial cadherin, and podoplanin, were expressed at lower levels in white CTEPH thrombi than in organizing deep vein thrombi and organizing thrombi from aortic aneurysms. In addition, red CTEPH thrombi attenuated the angiogenic response induced by vascular endothelial growth factor. Conclusions—In the present work, we propose a mechanism of thrombus nonresolution demonstrating that endothelial cell–specific deletion of kinase insert domain protein receptor abates thrombus vessel formation, misguiding thrombus resolution. Medical conditions associated with the development of CTEPH may be compromising early thrombus angiogenesis.
Clustering Approach in Route Selection Using Mobile Agent in Mobile Ad-Hoc Network

Cluster-based mechanisms in ad hoc networks not only make a large network appear smaller, but more importantly. In our scheme, each MN is disseminated to predict its own mobility pattern, and this information is disseminated to its neighbors using a scalable clustering algorithm. The work proposes a prediction based Clustering Approach for Route Discovery Protocol (CARDP)using Mobile Agent in Mobile ad-hoc Network. This paper presents a scalable way to predict mobility, and thus availability of MNs which is achieved with the virtual cluster and it is named as (b,e,m) model. Here we compare our work with other three algorithms in term of cluster head stability. Our clustering algorithm enables adaptability, autonomy, economy, scalability and survivability requirements in managing ad hoc networks by adopting Mobile Agent–Based clustering Approach. In our result cluster stability is measured and improved using clustering
Discovering Unique Game Variants

We present a method for computationally discovering diverse playable game variants, using a ﬁne-tuned exploration of game space to explore a game’s design. Us- ing a parameterized implementation of the popular mobile game Flappy Bird, we vary its parameters to create unique and interesting game variants. An evolutionary algorithm is used to ﬁnd game variants in the playable space which are as far apart from each other as possible, helping ﬁnd the most unique versions; we also use a clus- tering algorithm to ﬁnd representative variants. Manual playtesting conﬁrms that the discovered game variants are playable and signiﬁcantly different to the original game in challenge, game feel, and theme.
TelegraphCQ: continuous dataflow processing

At Berkeley, we are developing TelegraphCQ [1, 2], a dataflow system for processing continuous queries over data streams. TelegraphCQ is based on a novel, highly-adaptive architecture supporting dynamic query workloads in volatile data streaming environments. In this demonstration we show our current version of TelegraphCQ, which we implemented by leveraging the code base of the open source PostgreSQL database system. Although TelegraphCQ differs significantly from a traditional database system, we found that a significant portion of the PostgreSQL code was easily reusable. We also found the extensibility features of PostgreSQL very useful, particularly its rich data types and the ability to load user-developed functions. Challenges: As discussed in [1], sharing and adaptivity are our main techniques for implementing a continuous query system. Doing this in the codebase of a conventional database posed a number of challenges:
An implantable bio-micro-system for drug monitoring

Multi-target and continuous monitoring by wireless implantable devices is of increasing interest for personalized therapy. In this work an implantable system is presented which is capable of measuring different drugs with Cyclic Voltammetry (CV) method. The wireless microsystem consists of four modules, namely (i) The inductive coil; (ii) Power management IC; (iii) Readout and control IC; (iv) Biosensor array. The power management IC provides 1.8 V with as high as 2 mW power for the readout IC. The configurable readout IC is able to control the biosensor array and measure the sensor current in CV method. CV experiments performed with this microsystem well agree with a commercial equipment for two well known anti-cancer drugs, Etoposide and Mitoxantrone, detection.
Student Perceptions of Online Video Cases to Promote Helping Skills Training

Video case based learning was integrated with multimodal online learning to facilitate helping skills training for graduate students. Five online cases were utilized before students participated in classroom-based roleplays and live practice. Students’ reactions to the activity were positive, and recommendations for counselor training are described. Author's Notes The authors acknowledge the assistance of Dr. Aaron Rochlen in developing the videos described in this manuscript.
EDRS PRICE

DOCUMENT RESUME EC 005 289 Fassler, Joan Performance of Cerebral. Palsied Children under Conditions of Reduced Auditory Input on Selected Intellectual, Cognitive and Perceptual Tasks. Columbia Univ., New York, N.Y. Teachers College. Office of Education (DHEW), Washington, D.C. RR-6 69 27p. EDRS Price MF-$0.25 HC-$1.45 Aural Stimuli, *Cerebral Palsy, Cognitive Processes, *Exceptional Child Research, Learning Characteristics, Memory, Motor Reactions, *Physically Handicapped, *Task Performance The study investigated the task performance of cerebral palsied children under conditions of reduced auditory input and under normal auditory conditions. A non-cerebral palsied group was studied in a similar manner. Results indicated that cerebral palsied children showed some positive change in performance, under conditions of reduced auditory input, on a recall of missing picture test and an attention test and on certain parts of a learning test and digit span test. They showed no change in performance on visual-perceptual or perceptual-motor tasks. The non cerebral palsied children showed no significant change in performance under conditions of reduced auditory input. However, since the difference scores of the non-cerebral palsied group did move in a positive direction, a comparison of the performance of the cerebral palsied and the non-cerebral palsied children did not show a statistical difference in the amount of positive change exhibited by the two groups. (Author) Performance of Cerebral Palsied ter Children under 0C Conditions of Reduced Auditory Input on Selected Intellectual, Cognitive and Perceptual Tasks
Boundary smoothing for mesh segmentation

In segmentation for reverse engineering, an input triangular mesh is usually split into segments for each of which a parametric surface is generated. The segment boundaries must be smooth for fine surfaces to be generated, but today's segmentation methods cannot necessarily generate a sufficient level of smoothness. The authors of this paper were inspired by the work reported in [5], and here try to extend it to efficiently segment a mesh obtained by scanning an object. Fuzzy boundary curves between two neighboring regions are globally rectified using a graph cut approach in which new energy functions are constructed. However, some curves are still not smooth since there are no straight lines around them in the original scanned mesh models, although the corresponding physical curves are smooth. To achieve further smoothing, we split some triangles by adding points and edges based on virtual triangle subdivision and the graph cut approach. As a result, significant further straightening of boundaries is achieved with simple straightest geodesics.
Duality of Super D-brane Actions in General Type IIB Supergravity Background

We examine duality transformations of supersymmetric and $\kappa$-symmetric Dp-brane actions in a general type II supergravity background where in particular the dilaton and the axion are supposed to not be zero or a constant but a general superfield. Due to non-constant dilaton and axion, we can explicitly show that the dilaton and the axion as well as the two 2-form gauge potentials transform as doublets under the $SL(2,R)$ transformation from the point of view of the world-volume field theory.
Adaptive parameter identification based on dead-time compensation for Permanent Magnet Synchronous Machines for the 2011 11th international conference on control, automation and systems (ICCAS 2011)

The objective of this paper is to investigate an accurate on-line parameters identification method for PMSM. Because a majority of controllers are based on motor models, the parameters of stator resistance and dq-axis inductances play important roles for achieving high-performance control. However, voltage drop between the reference and output voltage in a pulse width-modulation (PWM) voltage source inverter affects the accuracy of identification. In this paper a model-reference adaptive identification method is proposed with a simple method for compensating the voltage drop of inverter in the driven system. The global stability of adaptive laws is proved by the Popov's hyper-stability theory. Simulation results proved that the estimated stator resistance and dq-axis inductances converge to the constant after the rotor speed becomes stable. The compensation method introduced in the MRAS is easy to implement without any additional circuits. Experimental results demonstrate the effectiveness of the proposed identified method and the compensation method.
Output Composition of the Monetary Policy Transmission Mechanism in Japan

Abstract In this paper, we investigate the output composition of the monetary policy transmission mechanism in Japan. The predominant channel through which monetary policy affects output in Japan is usually thought to be the investment channel, namely the process whereby a change in the interest rate alters the cost of capital and therefore investment. In the United States, however, the consumption channel, which works through intertemporal substitution, is commonly considered the more significant of the two. The aim of this paper is twofold: 1) based on analysis using VAR models to understand which of the two channels, the consumption channel or the investment channel, plays the more important role in the transmission of the Japanese monetary policy; and 2) to contribute to the research on what Angeloni, Kashyap, Mojon and Terlizzese (2003) term the "Output Composition Puzzle," referring to the fact that whereas in the United States the predominant driver of output changes is the consumption channel, in the Euro area it is the investment channel. Results obtained from the Japanese models imply that the investment channel is more important.