Miracle-dz/UniFAR-FTUs huggingface dataset:
The Use of Meditation in the Treatment of Attention Deficit Disorder with Hyperactivity.

A total of 24 children, meeting several criteria for being diagnosed as having an attention deficit disorder with hyperactivity, were selected for study. Children were assigned to one of three conditions: a meditation-training group, a progressive-muscle-relaxation group, or a waiting-list control group. Subjects in the training groups were seen on an individual basis for 20 minutes twice weekly for a period of 4 weeks. Meditating subjects sat with eyes closed, breathed slowly and deeply, and repeated the Sanskrit word "ahnam" ("nameless") first out loud and then silently for periods gradually increasing in duration from 2 to 8 minutes. Relaxing subjects tensed and relaxed hands, forearms, biceps, triceps, shoulders, stomach, thighs, and calves in periods increasing from 2 to 8 minutes. Results indicated that both the meditation-training and relaxation-training groups showed significant decreases in levels of impulsivity. No change in impulsivity was found in the control group. In the measures of selective deployment of attention and freedom from distractibility, only meditation training resulted in significant improvement. Parent rating scales reflected a significant improvement in the behavior of children in both the meditation-training and relaxation-training groups. The Locus of Control Scale failed to show significant changes over the course of the study for any of the groups. (Author/RH) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ***********************************************************************
Hybrid Beamforming for Massive MIMO with Channel Correlation

The uplink where both the transmitter and receiver can use a large antenna array is considered. This is proposed as a method of antenna offloading and connecting small cell access points (SCAP) in a Two-Tier cellular network. Due to having a limited number of RF-chains, hybrid beamformers are designed where phase-only processing is done at the RF-band, followed by traditional digital processing at the baseband. The designed receiver is a row combiner that clusters sufficiently correlated antenna elements, and its’ performance is compared against randomly projecting onto a subspace by a Discrete Fourier Transform (DFT) matrix. The analogue to the row combiner is a column spreader, which is dependent on the transmit correlation, and repeats the transmitted signal over antenna elements that are correlated. A key benefit of this approach is to reduce the number of phase shifters used, while outperforming the DFT scheme. When only the transmitter has correlation and is RF-chain limited, the baseband precoding vectors are shown to be the eigenvectors of the effective transmit correlation matrix. Depending on the channel correlation, this matrix can be approximated to have a tridiagonal Toeplitz structure with the proposed column spreader (CS). The resulting eigenvalues and associated eigenvectors have a closed form solution, which leads to simplified calculation of the sum rate and precoding vectors.
Convectively Coupled Kelvin Waves: From Linear Theory to Global Models

AbstractThe authors analyze composite structures of tropical convectively coupled Kelvin waves (CCKWs) in terms of the theory of Raymond and Fuchs using radiosonde data, 3D analysis and reanalysis model output, and annual integrations with the ECMWF model on the full planet and on an aquaplanet. Precipitation anomalies are estimated using the NOAA interpolated OLR and TRMM 3B42 datasets, as well as using model OLR and rainfall diagnostics. Derived variables from these datasets are used to examine assumptions of the theory. Large-scale characteristics of wave phenomena are robust in all datasets and models where Kelvin wave variance is large. Indices from the theory representing column moisture and convective inhibition are also robust. The results suggest that the CCKW is highly dependent on convective inhibition, while column moisture does not play an important role.
Graph Minors: XV. Giant Steps

Abstract Let G be a graph with a subgraph H drawn with high representativity on a surface Σ . When can the drawing of H be extended “up to 3-separations” to a drawing of G in Σ if we permit a bounded number ( κ say) of “vortices” in the drawing of G , that is, local areas of non-planarity? (The case κ =0 was studied in the previous paper of this series.) For instance, if there is a path in G with ends in H , far apart, and otherwise disjoint from H , then no such extension exists. We are concerned with the converse; if no extension exists, what can we infer about G ? It turns out that either there is a path as above, or one of two other obstructions is present.
Climate Change and Agriculture: An Economic Analysis of Global Impacts, Adaptation and Distributional Effects

Contents: 1. Introduction 2. The Role of Climate in Agricultural Production 3. Literature Review of Economic Impacts of Climate Change on Agriculture 4. The Ricardian Method 5. Modeling Adaptation to Climate Change 6. Structural Ricardian Models 7. Ricardian Analyses of Aggregate Data 8. Ricardian Models of Individual Farms 9. Adaptation 10. Structural Ricardian Models 11. Summary of Results 12. Policy Implications and Future Research Needs Index
Modular organization of directionally tuned cells in the motor cortex: Is there a short-range order?

We investigated the presence of short-range order (<600 μm) in the directional properties of neurons in the motor cortex of the monkey. For that purpose, we developed a quantitative method for the detection of functional cortical modules and used it to examine such potential modules formed by directionally tuned cells. In the functional domain, we labeled each cell by its preferred direction (PD) vector in 3D movement space; in the spatial domain, we used the position of the tip of the recording microelectrode as the cell's coordinate. The images produced by this method represented two orthogonal dimensions in the cortex; one was parallel (“horizontal”) and the other perpendicular (“vertical”) to the cortical layers. The distribution of directionally tuned cells in these dimensions was nonuniform and highly structured. Specifically, cells with similar PDs tended to segregate into vertically oriented minicolumns 50–100 μm wide and at least 500 μm high. Such minicolumns aggregated across the horizontal dimension in a secondary structure of higher order. In this structure, minicolumns with similar PDs were ≈200 μm apart and were interleaved with minicolumns representing nearly orthogonal PDs; in addition, nonoverlapping columns representing nearly opposite PDs were ≈350 μm apart.
Smart Tablet Monitoring by a Real-Time Head Movement and Eye Gestures Recognition System

Different research works are studying to integrate new ways of interaction with mobiles devices such as smartphone and tablets to provide a natural and easy mode of communication to people. In this paper we propose a new system to monitoring tablets through head motions and eye-gaze gestures recognition. This system is able to open browser application with simples' motions by the head and the eyes. For the face detection, we use a Viola and Jones technique, and for the eyes detection and tracking we used Haar classifier to the detection part and the template matching for the tracking part. We develop this system on Android based tablet. Through the front-facing camera the system capture a real-time streaming video on which we implement the detection and recognition module. We test the system on 5 persons and the experiment results shows that this system is robust and it is invariant for the lightness and the moving state of the user. As known the tablet's resources are limited, in consequence the response time of our system is not satisfied for the real time condition. That is why we apply the cloud computing to solve this problem.
DAISY: a distributed architecture for intelligent system

Distributed perceptual systems are endowed with different kind of sensors, from which information flows to suitable modules to perform useful elaborations for decisions making. In this paper a new distributed architecture, named "Distributed Architecture for Intelligent SYstem" (DAISY), is proposed. It is based on the concept of co-operating behavioral agents supervised by a "Central Engagement Module". This module integrates the processing of data coming from the behavioral agents with a symbolic level of representation, by the introduction of a "conceptual space" intermediate analogue representation. The DAISY project is under development; experiments on navigation and exploration for an autonomous robot are done to evaluate its performance.
A New Standard for Instrument Transformer Applications in Industry

Proposed IEEE Standard 3004-1-D1 is a preferred practice for the application of instrument transformers in industrial and commercial facilities and includes references to both ANSI/IEEE and International Electrotechnical Commission practices. This paper will focus on the ratings of current transformers (CTs) applied for protective applications as addressed in this proposed new standard and offer some observations about the methodology used in the two bodies of standards to characterize CTs.
Decoupling and Sources of Structural Transformation of East Asian Economies: An International Input-Output Decomposition Analysis

This study aims to answer two questions using input-output decomposition analysis: 1) Have emerging Asian economies decoupled? 2) What are the sources of structural changes in gross outputs and value-added of emerging Asian economies related to the first question? The main findings of the study are as follows: First, since 1990, there has been a trend of increasing dependence on exports to extra-regions such as G3 and the ROW, indicating no sign of "decoupling", but rather an increasing integration of emerging Asian countries into global trade. Second, there is a contrasting feature in the sources of structural changes between non-China emerging Asia and China. Dependence of non-China emerging Asia on intra-regional trade has increased in line with strengthening economic integration in East Asia, whereas China has disintegrated from the region. Therefore, it can be said that China has contributed to no sign of decoupling of emerging Asia as a whole.
Collective Opinion Spam Detection using Active Inference

Opinion spam has become a widespread problem in the online review world, where paid or biased reviewers write fake reviews to elevate or relegate a product (or business) to mislead the consumers for profit or fame. In recent years, opinion spam detection has attracted a lot of attention from both the business and research communities. However, the problem still remains challenging as human labeling is expensive and hence labeled data is scarce, which is needed for supervised learning and evaluation. There exist recent works (e.g., FraudEagle [2], SpEagle [19]) which address the spam detection problem as an unsupervised network inference task on the review network. These methods are also able to incorporate labels (if available), and have been shown to achieve improved performance under the semisupervised inference setting, in which the labels of a random sample of nodes are consumed. In this work, we address the problem of active inference for opinion spam detection. Active inference is the process of carefully selecting a subset of instances (nodes) whose labels are obtained from an oracle to be used during the (network) inference. Our goal is to employ a label acquisition strategy that selects a given number of nodes (a.k.a. the budget) wisely, as opposed to randomly, so as to improve detection performance significantly over the random selection. Our key insight is to select nodes that (i) exhibit high uncertainty, (ii) reside in a dense region, and (iii) are closeby to other uncertain nodes in the network. Based on this insight, we design a utility measure, called Expected UnCertainty Reach (EUCR), and pick the node with the highest EUCR score at every step iteratively. Experiments on two large real-world datasets from Yelp.com show that our method significantly outperforms random sampling as well as other state-of-the-art active inference approaches.
Puerto Rican Bilingual Professionals Parents: Their Expectations, Motivations, and Practices in Support of their Children's Education and Their Perceptions of Their Children's School.

QUIÑONES, NORMA VICTORIA. Puerto Rican Bilingual Professionals Parents: Their Expectations, Motivations, and Practices in Support of their Children’s Education and Their Perceptions of Their Children’s School. (Under the direction of Dr. Lance Fusarelli and Dr. Paul Bitting.) This research was designed as a qualitative study as it sought to address Puerto Rican bilingual professional parents’ perceptions of their children’s school experiences based in North Carolina. In this study, 6 Puerto Rican bilingual professional parents who live in the North Carolina Research Triangle Park (RTP) area were interviewed about their perceptions regarding their expectations, motivations, and practices in support of their children’s education and their perceptions of their children’s school. Parents interviews, and school archival documents were examined to analyze the data within the conceptual framework of resiliency theory. The research questions in this study are: 1. What are the experiences of Puerto Rican bilingual professional parents with parental involvement in North Carolina public schools? 2. What are the expectations, motivations, and practices they employ to support their children’s education? 3. What are their perceptions of their children’s public school? In addition, the following two sub-questions will be explored: 4. How or to what degree do Puerto Rican bilingual professional parents feel that their children are nurtured and supported in the public schools? 5. To what degree are Puerto Rican bilingual professional parents satisfied with the education their children are receiving in the public schools?
Relationship Between Age, Tenure, and Disability Duration in Persons With Compensated Work-Related Conditions

Objective: The aim of the study was to examine the relationships among age, tenure, and the length of disability following a work-related injury/illness. Methods: This study utilized 361,754 administrative workers’ compensation claims. The relationships between age, tenure, and disability duration was estimated with random-effects models. Results: The age-disability duration relationship was stronger than the tenure-disability duration relationship. An interaction was observed between age and tenure. At younger ages, disability duration varied little based on tenure. In midlife, disability duration was greater for workers with lower tenure than for workers with higher tenure. At the oldest ages, disability duration increased as tenure increased. Conclusions: Findings indicate that age is a more important factor in disability duration than tenure; however, the relationship between age and disability duration varies based on tenure, suggesting that both age and tenure are important influences in the work-disability process.
Optimization Using Selectivity Estimation

This poster describes three static SPARQL optimization approaches for in-memory RDF graphs: (1) a selectivity estimation index (SEI) for single query triple patterns; (2) a query pattern index (QPI) for joined triple patterns; and (3) a hybrid optimization approach that combines both indexes. Using the Lehigh University Benchmark (LUBM), we show that the hybrid approach outperforms other SPARQL query engines such as ARQ and Sesame for in-memory graphs.
Submission Number : ASSET 2009-09-00103 Multiple equilibria in two-sector monetary economies

In this paper, we study the occurrence of local indeterminacy and expectation-driven fluctuations in two-sector monetary economies. In order to capture the credit market imperfections and the liquidity services of money, we consider a general MIUF model with two alternative timings in monetary payments: the Cash-In-Advance timing, in which the cash available to buy goods is money in the consumers' hands after they leave the bond market, and the Cash-After-the Market timing, in which agents hold money for transactions after leaving the goods market. We consider three standard specifications of preferences and we compare these imperfections within a unified setting. First, we show that with the CIA timing, local indeterminacy easily arises with a low enough interest rate elasticity of money demand. Second, we prove that with the CAM timing, determinacy always holds under separable preferences, but can arise in the case of GHH and KPR preferences. We thus prove that compared to aggregate models, two sector models provide new rooms for local indeterminacy when nonseparable standard preferences are considered. Submitted: June 28, 2009. Multiple equilibria in two-sector monetary economies: an interplay between preferences and the timing for money
Design of Microstrip Patch Antenna Using Defected Microstrip Structure

In this paper, the design of compact size Micro strip patch antenna is presented at resonant frequency 2 GHz using defected micro strip structure which has various wireless communication applications. The antenna is constructed using micro strip feed line technique and fabricated using dielectric FR4 substrate which has dimensions of (35.4 mm×45.6 mm). The frequency response gives a very sharp cut off at 2 GHz with return loss of-31.27dB. The simulation is performed using the commercial Electromagnetic simulation software IE3D 14.1.
Virtualizing Mixed-Criticality Operating Systems

The forever growing number of embedded control units in some applications such as cars or airplanes are increasing system complexity and making harder to coordinate all this hardware. The increasing capacity of embedded hardware and the advances in virtualization technology make it possible to deal with this problem. There is a current trend to bring many of this control systems to a single platform, thus making it possible for a single hardware platform to manage a whole system with the same isolation guarantees that the use of multiple Microcontroller Units (MCUs) provides, which also implies in a reduction of cost. However, all these different applications have very different purposes and requirements, so the platform should be able to handle all of them, from human interaction to hard real-time control. In our paper, we explore Linux paravirtualization interface, paravirt_ops, to make it run on a confined Virtual Machine (VM) on top of the HyperEPOS real-time hypervisor. The virtualized Linux provides embedded systems with all the functionalities of a general purpose operating system, including human interaction and connectivity, while other VMs define a realm for the proper operation of safe-critical tasks.
Are There Exogenous Variables in Short-Run Production Relations

Near! v all precious tinu' series stiulies ojdema:id fir labor and tritest ment hare treau'd the ossiunption that right-hand side variables (usually output and a price ruriable)are exogenous as a maintained hypothesis. This paper tests that hypothesis. The hypothesis is accepted for output in an inieslnie,it demand eqricetion. but rejected for price variables in both invest,nent and jahor demand equations. In the labor equation. a formulation which treats labor as exogenous. determining output. appears more in accord with the data than the ttsuaiforrnulation.
The influence of boreal biomass burning emissions on the distribution of tropospheric ozone over North America and the North Atlantic during 2010

Abstract. We have analysed the sensitivity of the tropospheric ozone distribution over North America and the North Atlantic to boreal biomass burning emissions during the summer of 2010 using the GEOS-Chem 3-D global tropospheric chemical transport model and observations from in situ and satellite instruments. We show that the model ozone distribution is consistent with observations from the Pico Mountain Observatory in the Azores, ozonesondes across Canada, and the Tropospheric Emission Spectrometer (TES) and Infrared Atmospheric Sounding Instrument (IASI) satellite instruments. Mean biases between the model and observed ozone mixing ratio in the free troposphere were less than 10 ppbv. We used the adjoint of GEOS-Chem to show the model ozone distribution in the free troposphere over Maritime Canada is largely sensitive to NO x emissions from biomass burning sources in Central Canada, lightning sources in the central US, and anthropogenic sources in the eastern US and south-eastern Canada. We also used the adjoint of GEOS-Chem to evaluate the Fire Locating And Monitoring of Burning Emissions (FLAMBE) inventory through assimilation of CO observations from the Measurements Of Pollution In The Troposphere (MOPITT) satellite instrument. The CO inversion showed that, on average, the FLAMBE emissions needed to be reduced to 89% of their original values, with scaling factors ranging from 12% to 102%, to fit the MOPITT observations in the boreal regions. Applying the CO scaling factors to all species emitted from boreal biomass burning sources led to a decrease of the model tropospheric distributions of CO, PAN, and NO x by as much as −20 ppbv, −50 pptv, and −20 pptv respectively. The modification of the biomass burning emission estimates reduced the model ozone distribution by approximately −3 ppbv (−8%) and on average improved the agreement of the model ozone distribution compared to the observations throughout the free troposphere, reducing the mean model bias from 5.5 to 4.0 ppbv for the Pico Mountain Observatory, 3.0 to 0.9 ppbv for ozonesondes, 2.0 to 0.9 ppbv for TES, and 2.8 to 1.4 ppbv for IASI.
UvA-DARE ( Digital Academic Repository ) Well-being inequality and reference groups : an agenda for new research

In this paper it is argued that subjective well-being (SWB) of the individual depends on two types of variables. The first type consists of characteristics of the individual himself, such as age, health, income, etc. The second type of variables consists of the characteristics of the individuals belonging to his reference group. The vast literature about happiness, quality of life, and well-being informs us extensively about the effects of objective variables. How the second type affects well-being is much less investigated. It is argued that the concept of well-being inequality cannot be properly defined without taking the referencing process into account. The reference effect depends on how frequently individuals compare with others and on the degree of social transparency in society. We attempt to give a structural embedding of the idea of reference groups in SWB-models. In this paper we employ the reference-extended model for incorporating in happiness studies the concept of inequality in happiness or SWB. Finally, we plead for an extension of the present happiness paradigm by setting up a new additional agenda for empirical research in order to get quantified knowledge about the referencing process. As a first step we suggest a new question module to be included in new survey questionnaires.