Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating one-sided programming models for GPU cluster computations

The Global Array toolkit (GA) [1] is a powerful framework for implementing algorithms with irregular communication patterns, such as those of quantum chemistry. On the other hand, accelerators such as GPUs have shown great potential for important kernels in quantum chemistry, for example, atomic integral generation [2] and dense linear algebra in correlated methods [3]. Integration of the global address space (GAS) programming model and associated one-sided protocols with GPU programming paradigms such as CUDA has the potential to revolutionize quantum chemistry by allowing the efficient use of very large clusters of heterogeneous nodes, such as the future multi-petaflop installation expected at Oak Ridge National Laboratory in 2012. This paper reports on our preliminary investigations of the technical challenges and performance opportunities associated with cluster-GPU computation using the simplest approximation to quantum chemistry applications: parallel matrix-matrix multiplication (MMM). We focus on the role of asynchronous execution of network communication, device-to-host transfer, and kernel launch to understand the extent of latency-hiding that can be achieved for dense algorithms on large matrices.
Securing massive MIMO at the physical layer

We consider a single-cell downlink massive MIMO system in the presence of an adversary capable of jamming and eavesdropping. We show that, classical attacks of eavesdropping and data jamming can be simultaneously rendered useless. Specifically, we show that, the secure degrees of freedom (DoF) attained in the presence of classical attacks is as same as the maximum DoF attained under no attack. We propose a novel beamforming strategy that establishes information theoretic security without need to Wyner encoding. We next introduce a new attack strategy that involves jamming pilot signals and eavesdropping in succession. We show that under such an attack, the maximum secure DoF is equal to zero. Furthermore, the maximum achievable rates of users vanish even in the asymptotic regime in number of base station (BS) antennas. We develop counter strategies for this new attack in which we use secret key to encrypt the pilot sequence. We show that hiding the training signal assignments from the adversary enables the users to achieve a secure DoF, identical to the one achieved under no attack.
Is home peak expiratory flow monitoring effective for controlling asthma symptoms?

A case in which a home peak expiratory flow (PEF) monitoring device was recommended led us to review the evidence examining this intervention. The clinical question to be answered was: should these devices be consistently recommended to all patients with asthma? A comprehensive search revealed eight randomized controlled trials, one review and one consensus report. Four trials provided all subjects with asthma education and compared patient‐specific action plans based on symptoms to those based on PEF readings. Four trials compared usual asthma care to peak flow monitoring (PFM) and varied in both their content and intensity of asthma education. Six out of eight studies showed improvement in some selected markers of asthma morbidity with home PFM‐based action plans. Improvements were also observed in patients using a symptom‐based action plan. These studies did not demonstrate any obvious advantage of PFM compared with symptom‐based monitoring but did suggest that a monitoring plan with predetermined actions based on PEF measurements or symptoms can lead to improved asthma control. Although not specifically studied, PFM may be more appropriate and effective for patients who have difficulty identifying worsening of asthma control through symptom monitoring.
Fabrication and optimization of Al-doped zinc oxide layer for application in radial p-n junction silicon solar cells

The influence of thickness of optimized Al-doped zinc oxide (AZO) front contact layer on an efficiency of a radial p-n junction silicon (Si) solar cell has been studied. Vertically aligned Si wire arrays for the radial p-n junction solar device were fabricated by metal catalytic etching and p-n junction was prepared by spin-on-dopant (SOD) diffusion method. AZO thin films as a top contact layer were conformally deposited on the radial p-n junction Si solar cell by atomic layer deposition (ALD) technique. To determine the best conversion efficiency, the thickness of AZO thin film varied from 15 nm to 80nm. Both short circuit current (Jsc) and power conversion efficiency (η) of the cell increased as the thickness of AZO film is changed from 15nm to 48nm, but decreased at the AZO thicknesses exceeding 48nm. The conversion efficiency of the best sample is 5.6% and Jsc of 22.2mA/cm2, when the thickness of AZO front contact is 48nm. It is considered that the optimized AZO contact layer plays a role of increasing photocurrent by lowering contact resistance and surface recombination centers.
Dirac neutrino dark matter

We investigate the possibility that dark matter is made of heavy Dirac neutrinos with mass m [ GeV–a few TeV] and with suppressed but non-zero coupling to the standard model Z as well as a coupling to an additional Z′ gauge boson. The first part of this paper provides a model-independent analysis for the relic density and direct detection in terms of four main parameters: the mass, the couplings to the Z, to the Z′ and to the Higgs. These WIMP candidates arise naturally as Kaluza–Klein states in extra-dimensional models with extended electroweak gauge group SU(2)L × SU(2)R × U(1). They can be stable because of Kaluza–Klein parity or of other discrete symmetries related to baryon number for instance, or even, in the low mass and low coupling limits, just because of a phase-space-suppressed decay width. An interesting aspect of warped models is that the extra Z′ typically couples only to the third generation, thus avoiding the usual experimental constraints. In the second part of the paper, we illustrate the situation in details in a warped grand unified theory model.
The colony stimulating factors discovery, development, and clinical applications

HE COLONY STIMULATING FACTORS (CSFs) are four T glycoprotein regulators able to control the proliferation and differentiation of granulocytes, monocyte-mac-rophages, and certain related hemopoietic cells. This account will describe their discovery and characterization, discuss their actions in vitro and in vivo, the role they may play in the development of myeloid leukemia
How attempts to meet others’ unrealistic expectations affect health: health-promoting behaviours as a mediator between perfectionism and physical health

The traits of perfectionism have been associated with health and longevity. Theoretically and empirically, health behaviours are considered a primary mechanism through which such associations of personality and health occur. However, scant evidence to date indicates behaviours did not mediate between perfectionism and health as anticipated. The aim of the current research was therefore to rigorously examine whether health behaviours mediated associations of perfectionism and physical health-related quality of life (HRQL). A sample of 263 students completed questionnaires measuring subtypes of perfectionism, HRQL, self-efficacy and health-promoting behaviours. Hierarchical regression analyses investigated predictors of physical HRQL and health-promoting behaviours. Non-parametric bootstrapping techniques assessed whether health-promoting behaviours mediated significant associations between perfectionism and physical HRQL. Socially prescribed perfectionism (SPP) significantly predicted poorer physical HRQL, and this association was mediated by health-promoting behaviours, a unique finding. Self-oriented perfectionism did not significantly predict physical HRQL, but was linked with more numerous health-promoting behaviours. In conclusion, results suggest that individuals higher in SPP, who are overly concerned with evaluation by others and with meeting perceived unrealistically high standards of performance, performed fewer health-promoting behaviours, and this mediated the association between SPP and poorer physical HRQL. More broadly, perfectionism predicted physical HRQL and engagement or lack thereof in health-promoting behaviours and should be considered as part of health promotion strategies.
Competitive Stock Replenishment Problem in a Two-Echelon Supply Chain with Competing Retailers

This paper studies a two-echelon supply chain, with a warehouse and n retailers. The entire supply chain is characterized by several parameters including demand variance, inventory holding cost and backorder penalty cost. We investigate replenishment strategies of this system under decentralized and centralized control. We consider horizontal information sharing between these retailers when the shared information is valuable for stabilization of the system. It is shown that unique Nash equilibrium of the competitive retailers system exists. We also propose demand-depended and equational coordination schemes. These three coordination schemes are compared numerically, the result of the simulation show that penalty cost and holding cost effect replenishment in Nash equilibrium greatly, and although the set of strategies under profit oriented Nash equilibrium balance the supply chain system, it increases system cost.
Experiential Avoidance as a Common Psychological Process in European Cultures

Experiential avoidance, the tendency to rigidly escape or avoid private psychological experiences, represents one of the most prominent transdiagnostic psychological processes with a known role in a wide variety of psychological disorders and practical contexts. Experiential avoidance is argued to be based on a fundamental verbal/cognitive process: an overextension of verbal problem solving into the world within. Although cultures apparently differ in their patterns of emotional expression, to the extent that experiential avoidance is based on a fundamental verbal/cognitive process, measures of this process should be comparable across countries, with similar relationships to health outcomes regardless of the language community. This research tests this view in European countries. The psychometric properties of the Acceptance and Action Questionnaire-II, a measure of experiential avoidance, are compared across six languages and seven European countries, for a total of 2,170 nonclinical participants. Multiple group analysis showed that the instrument can be considered invariant across the language samples. The questionnaire constitutes a unidimensional instrument with similar relationships to psychopathology, and has good and very similar psychometric properties in each assessed country. Experiential avoidance reveals not just as transdiagnostic, but also as a transcultural process independent of a specific language community.
Building a Self-Learning Eye Gaze Model from User Interaction Data

Most eye gaze estimation systems rely on explicit calibration, which is inconvenient to the user, limits the amount of possible training data and consequently the performance. Since there is likely a strong correlation between gaze and interaction cues, such as cursor and caret locations, a supervised learning algorithm can learn the complex mapping between gaze features and the gaze point by training on incremental data collected implicitly from normal computer interactions. We develop a set of robust geometric gaze features and a corresponding data validation mechanism that identifies good training data from noisy interaction-informed data collected in real-use scenarios. Based on a study of gaze movement patterns, we apply behavior-informed validation to extract gaze features that correspond with the interaction cue, and data-driven validation provides another level of crosschecking using previous good data. Experimental evaluation shows that the proposed method achieves an average error of 4. 06º, and demonstrates the effectiveness of the proposed gaze estimation method and corresponding validation mechanism.
Ultrasound-Mediated DNA Transformation in Thermophilic Gram-Positive Anaerobes

Background Thermophilic, Gram-positive, anaerobic bacteria (TGPAs) are generally recalcitrant to chemical and electrotransformation due to their special cell-wall structure and the low intrinsic permeability of plasma membranes. Methodology/Principal Findings Here we established for any Gram-positive or thermophiles an ultrasound-based sonoporation as a simple, rapid, and minimally invasive method to genetically transform TGPAs. We showed that by applying a 40 kHz ultrasound frequency over a 20-second exposure, Texas red-conjugated dextran was delivered with 27% efficiency into Thermoanaerobacter sp. X514, a TGPA that can utilize both pentose and hexose for ethanol production. Experiments that delivered plasmids showed that host-cell viability and plasmid DNA integrity were not compromised. Via sonoporation, shuttle vectors pHL015 harboring a jellyfish gfp gene and pIKM2 encoding a Clostridium thermocellum β-1,4-glucanase gene were delivered into X514 with an efficiency of 6×102 transformants/µg of methylated DNA. Delivery into X514 cells was confirmed via detecting the kanamycin-resistance gene for pIKM2, while confirmation of pHL015 was detected by visualization of fluorescence signals of secondary host-cells following a plasmid-rescue experiment. Furthermore, the foreign β-1,4-glucanase gene was functionally expressed in X514, converting the host into a prototypic thermophilic consolidated bioprocessing organism that is not only ethanologenic but cellulolytic. Conclusions/Significance In this study, we developed an ultrasound-based sonoporation method in TGPAs. This new DNA-delivery method could significantly improve the throughput in developing genetic systems for TGPAs, many of which are of industrial interest yet remain difficult to manipulate genetically.
Multi-Source Feature Selection via Geometry-Dependent Covariance Analysis

Feature selection is an effective approach to reducing dimensionality by selecting relevant original features. In this work, we studied a novel problem of multi-source feature selection for unlabeled data: given multiple heterogeneous data sources (or data sets), select features from one source of interest by integrating information from various data sources. In essence, we investigate how we can employ the information contained in multiple data sources to effectively derive intrinsic relationships that can help select more meaningful (or domain relevant) features. We studied how to adjust the covariance matrix of a data set using the geometric structure obtained from multiple data sources, and how to select features of the target source using geometry-dependent covariance. We designed and conducted experiments to systematically compare the proposed approach with representative methods in our attempt to solve the novel problem of multi-source feature selection. The empirical study demonstrated the efficacy and potential of multi-source feature selection.
Investigation of association of 13 polymorphisms in eight genes in southeastern African American Alzheimer disease patients as compared to age-matched controls.

Alzheimer disease (AD) is an emotionally devastating and exceptionally costly disease. Apolipoprotein E (APOE) is a major risk factor gene for AD regardless of age of onset or family history. However, this association may not be as strong or consistent in ethnic groups such as African Americans, raising the possibility of other modifier gene(s). In a group of African American AD patients, a significantly increased risk of AD was associated with two E4 alleles (OR = 5.6; 95% CI = 1.5-21.0) or one E4 allele (OR = 2.5; 95% CI = 1.3-5.0) when compared to E3/E3 genotype, and there was a significant lowering of age of onset for affecteds with E4/E4 genotype as compared to one E2 allele (P = 0.02) or all others (P = 0.03). We also found a significant increase in age of onset with the -308 #2 (A) allele of TNF when compared to AD cases with no #2 allele. A significant increase in age was also demonstrated with the #2 allele (99 base pairs) of the microsatellite TNFa, located approximately 10.5 kb upstream of TNF. When these two alleles were combined with the TNF -238G (#1) allele to give a haplotype, the significant increase in age was still demonstrated. Polymorphisms in the APOE promoter and six other candidate genes did not appear to demonstrate any significant association with our African American AD patients. Our results confirm the established association of APOE4 to AD observed in several ethnic groups, including African Americans. In addition, TNF appears to have some modifying effect in AD, primarily on age of onset, or it could be in linkage disequilibrium with a modifier locus nearby.
Image-based motion compensation for structured light scanning of dynamic surfaces

Many structured light scanning systems based on temporal pattern codification produce dense and robust results on static scenes but behave very poorly when applied to dynamic scenes in which objects are allowed to move or to deform during the acquisition process. The main reason for this lies in the wrong combination of encoded correspondence information because the same point in the projector pattern sequence can map to different points within the camera images due to depth changes over time. We present a novel approach suitable for measuring and compensating such kind of pattern motion. The described technique can be combined with existing active range scanning systems designed for static surface reconstruction making them applicable for the dynamic case. We demonstrate the benefits of our method by integrating it into a gray code-based structured light scanner, which runs at 30 3D scans per second.
Perceived Benefit and Risk as Multidimensional Determinants of Bitcoin Use: A Quantitative Exploratory Study

Over recent years, the innovative decentralized payment system Bitcoin has received much attention in practice and academia. Despite a growth of transaction volume and an increasing attention in the area of e-commerce, there is little academic research examining the factors influencing adoption. To fill this research gap, this paper documents an exploratory study of the key determinants and inhibitors of Bitcoin use. Drawing upon the Technology Acceptance Model and a literature review, we integrate various benefits and risks of Bitcoin use to form the multidimensional constructs Perceived Benefit and Perceived Risk. We propose and empirically test a theoretical model that explains the use of Bitcoin as an online payment system for legitimate purchases and money transfers. Furthermore, we recognize several conceptual and methodological development potentialities for technology acceptance theories in the context of decentralized and sharing economy systems.
Community Structure Identification in Networks via Detecting Community Center Method

Identifying community structure in a simple network G(V, E) is essentially a clustering problem. The most important step to solve this problem is to determine the number of communities and find out community centers. Therefore, each node's local centrality CL and local dissimilarity δ are introduced. Nodes which have both high local centrality and local dissimilarity are chosen as the centers of the communities and the number of centers equals to the number of communities. After that we assign each node to its corresponding community by using Kmeans clustering method or Hierarchical clustering method. In the last part we applied our approach to a real relationship network and made a very satisfactory result.
Parent-child interaction in the formation of emotional and social competence: The impact of individual differences and cultural variability

iv Dedication . vi Acknowledgement . vii List of Tables . xv List of Figures . xvi CHAPTER I: INTRODUCTION . 1 Significance of the Problem . 2 Temperament. 3 Attachment Theory . 5 Parent Socialization . 6 Biological and Social Influences . 7 Research Questions and Hypotheses . 14 Research Question #1 . 14 Hypothesis #1 . 14 Research Question #2 . 16 Hypothesis #2 . 16 CHAPTER II: LITERATURE REVIEW . 17 Historical Background . 17 Emotion Regulation . 19 Temperament. 33 Attachment Theory . 45
How Business Intelligence Creates Value

Assessing IT business value has long been recognized as a major challenge, stemming largely from the considerable variability in the role and contribution of IT. This study examines the business value associated with business intelligence (BI) systems, suggesting that business value assessment is largely contingent on system type and should consider its unique contribution. The study adopts a process-oriented approach to evaluating the value contribution of BI, arguing that it stems from the improvement of business processes. The study develops and tests a research model that explains the unique mechanisms through which BI creates business value. The model draws on the resource-based view to identify key resources and capabilities that determine the impact of BI on business processes and, consequently, on organizational performance. Furthermore, the research model seeks to analyse the manner in which the organizational approach to innovation moderates the business value of BI. Analysis of data collected from 159 managers and IT/BI experts, using Structural Equations Modelling (SEM) techniques, shows that BI largely contributes to business value by improving both operational and strategic business processes. Further, it highlights the effect of the organizational approach toward exploration on transforming BI resources into capabilities and further into business
Withania somnifera Root Extract Enhances Telomerase Activity in the Human HeLa Cell Line

Aging is a decelerating unidirectional process of life. Shortening of telomeric DNA, the (TTAGGG)n hexanucleotide repeats, which form the caps at the chromosome ends, is implicated to determine the aging process, and more importantly the healthy lifespan itself. Telomerase, a ribonucleoprotein having reverse transcriptase activity, arrests telomere loss through addition of the TTAGGG repeats de novo, to the ends of the chromosome. The telomere/telomerase maintenance is an inevitable necessity to delay aging and for a healthy lifespan. Here, we report the potential of full-spectrum, high concentration Ashwagandha (Withania somnifera), an Ayurvedic medicinal herb, root extract to increase telomerase activity. HeLa cells, when treated with various concentrations of Ashwagandha root extract, showed an increase in telomerase activity measured with the established Telomerase Rapid Amplification Protocol (TRAP) assay. Ashwagandha root extract increased telomerase activity with highest enhancement of ~45% at 10 - 50 μg concentration. Thus, Ashwagandha root extract has the anti-aging inducing potential.
Optimal mode selection and synchronization for robust video communications over error-prone networks

We describe an effective method for increasing error resilience of video transmission over bit error prone networks. Rate-distortion optimized mode selection and synchronization marker insertion algorithms are introduced. The resulting video communication system takes into account the channel condition and the error concealment method used by the decoder, to optimize video coding mode selection and placement of synchronization markers in the compressed bit stream. The effects of mismatch between the parameters used by the encoder and the parameters associated with the actual channel condition and the decoder error concealment method are evaluated. Results for the binary symmetric channel and wideband code division multiple access mobile network models are presented in order to illustrate the advantages of the proposed method.