Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the role of brand identification and brand love in generating higher levels of brand loyalty

The aim of this study is to develop a model that integrates brand identity, brand-life congruence, customer hotel brand identification (CHBI), and brand love into one model and to test its predictive power in explaining brand loyalty. The survey data were gathered from (432) guests who were staying in seven well-known hotels located in Jordan. Data were analyzed using a structural equation modeling SmartPLS2.0. Four key findings emerged from the current research. First, compared to brand identity, brand-lifestyle congruency appears to have a stronger and more significant relationship with CHBI. Second, CHBI contributes only to the development of brand love. Third, CHBI appears to influence brand loyalty only indirectly via brand love. Fourth, the current research provides an empirical support on the applicability of Sternberg’s love theory in the hotel industry. This research adds to the body of knowledge on hotel brand loyalty through examining its relationship with four key constructs, whose effect either had been examined in isolation or had never been examined. It tests for the first time how brand identity and brand-lifestyle congruence contribute to the development of CHBI, which in turn, engenders a powerful emotional experience with hotel brands and cultivates affection and passion to that brand. Those heavy emotional feelings in turn provide an important basis upon which hotel brand loyalty is established.
Social-aware video delivery: challenges, approaches, and directions

We have recently witnessed the convergence of online social network services and online video services: users import videos from content sharing sites, and propagate them along the social connections by re-sharing them. Such social behaviors have dramatically reshaped how videos are disseminated, and users are now actively engaged as part of the social ecosystem, rather than being passive consumers. Despite the increasingly abundant bandwidth and computation resources, the ever increasing data volume of user generated video content and the boundless coverage of socialized sharing have presented unprecedented challenges. This article first presents the challenges in social-aware video delivery. Then we present a principal framework for social-aware video delivery and a state-of-the-art overview of approaches. Moreover, we identify the unique characteristics of social-aware video access and social content propagation, and reveal the design of individual modules and their integration toward enhancing users' experience in the social network context. Finally, we discuss future research directions.
Von Mises' Frequentist Approach to Probability

Richard Von Mises (1883-1953), the originator of the birthday problem, viewed statistics and probability theory as a science that deals with and is based on real objects rather than as a branch of mathematics that simply postulates relationships from which conclusions are derived. In this context, he formulated a strict Frequentist approach to probability. This approach is limited to observations where there are sufficient reasons to project future stability – to believe that the relative frequency of the observed attributes would tend to a fixed limit if the observations were continued indefinitely by sampling from a collective. This approach is reviewed. Some suggestions are made for statistical education.
Fast automated segmentation of femoral heads in fluoroscopic X-ray images

In fluoroscopic tracking for fractured femur bone fixation, a precise identification of the femoral head provides valuable guidance for positioning the implant instruments such as nails and screws. Noise, occlusions and weak edges challenge the task of automatically segmenting the femoral head. In this paper, a fast and fully automated method to precisely delineate the femoral head in fluoroscopic X-ray images is presented. The proposed method comprises two stages: First, a candidate circle detection stage using a set of curved Gabor filters and a Gabor-based Hough transform is applied to estimate a few candidate circles approximating the femoral head. Second, a fine circle determination stage extracts the target circle from the candidates by analyzing the anatomical features of the femoral head and its spatial relation to the acetabulum. The validity and robustness of the method were tested on a set of 1184 fluoroscopic images from different vendors.
Registering a clinical trial in ClinicalTrials.gov.

2007;131;909-912; Prepublished online February 15, 2007; Chest Deborah A. Zarin and Alla Keselman ClinicalTrials.gov Registering a Clinical Trial in http://chestjournals.org and services can be found online on the World Wide Web at: The online version of this article, along with updated information ). ISSN: 0012-3692. http://www.chestjournal. org/misc/reprints.shtml ( of the copyright holder may be reproduced or distributed without the prior written permission Northbrook IL 60062. All rights reserved. No part of this article or PDF by the American College of Chest Physicians, 3300 Dundee Road, 2007 Physicians. It has been published monthly since 1935. Copyright CHEST is the official journal of the American College of Chest
A novel cognitive model of reading: Neuropsychology research on internal processing of the brain

The cognitive models of internal language processing in the brain are fundamental areas in cognitive informatics. Neuropsychology is a useful method which effectively reveals the mechanisms of the knowledge representation of natural intelligence. Because reading is a basic intelligence processing, a model based on neuropsychological research may explain the fundamental mechanism of the reading process from clinical aspect. This article presents a novel cognitive model to explain the process of reading Chinese characters. A study of a Chinese patient with surface dyslexia indicates that there are two distinctive pathways in reading Chinese characters. And the whole process of reading Chinese characters is a nested process. The model that explains the mechanisms of reading process in the brain is described, and the physical and physiological meanings of this model are explained. In summary, this new novel model can be employed to contribute for reading model development of artificial intelligence.
Attention biases, anxiety, and development: toward or away from threats or rewards?

Research on attention provides a promising framework for studying anxiety pathophysiology and treatment. The study of attention biases appears particularly pertinent to developmental research, as attention affects learning and has down‐stream effects on behavior. This review summarizes recent findings about attention orienting in anxiety, drawing on findings in recent developmental psychopathology and affective neuroscience research. These findings generate specific insights about both development and therapeutics. The review goes beyond a traditional focus on biased processing of threats and considers biased processing of rewards. Building on this work, we then turn to the treatment of pediatric anxiety, where manipulation of attention to threat and/or reward may serve a therapeutic role as a component of Attention Bias Modification Therapy. Depression and Anxiety 0:1–13, 2011. © 2011 Wiley Periodicals, Inc.
Perceptual Fluency Affects Categorization Decisions

Learning in the prototype distortion task is thought to involve perceptual learning in which category members experience an enhanced visual response (Ashby & Maddox, 2005). This response likely leads to more efficient processing, which in turn may result in a feeling of perceptual fluency for category members. We examined the perceptual fluency hypothesis by manipulating fluency independently from category typicality. We predicted that when perceptual fluency was induced using subliminal priming, this fluency would be misattributed to category membership and would affect categorization decisions. In a prototype distortion task, participants were more likely to judge non-members as category members when they were made perceptually fluent with a matching subliminal prime. This result suggests that perceptual fluency can be reflective of category membership and may be used as a cue during some categorization decisions. In addition, the results provide converging evidence that some types of categorization are based on perceptual learning.
The Effect of Alpinia zerumbet Essential Oil on Post‐Stroke Muscle Spasticity

The essential oil of Alpinia zerumbet (EOAz) presents myorelaxant and antispasmodic actions on cardiac and smooth muscles. The aim of this study was to investigate the effect of EOAz on the skeletal muscle contraction in post‐stroke spasticity. Fifteen adults with unilateral hemiparesis and spasticity resulting from stroke were submitted to surface electromyography readings of the gastrocnemius muscle, before and after 10 daily applications (dermal 0.05 mL per muscle belly) of EOAz. The healthy contralateral muscles without applying the oil were used as controls. The analysis showed that, in both lateral and medial gastrocnemius, the values of all studied variables (root mean square, maximum amplitude and median power frequency) were significantly decreased in pathological legs during muscle contraction (Wilcoxon test, p < 0.05). Moreover, spastic muscles presented different results before and after dermal application of EOAz: The mean values of root mean square and median power frequency were significantly increased in lateral and medial gastrocnemius, and also, the maximum amplitude increased in medial gastrocnemius (Mann–Whitney test, p < 0.05). The results suggest that EOAz acts in the skeletal spastic muscle contraction by promoting relaxation and improvement of the muscular performance. Thus, the EOAz can be useful for the clinical management of secondary effects in patients with cerebral vascular disease.
inematics of shot-geophone migration

Recent analysis and synthetic examples have shown that many prestack depth migration methods produce nonflat image gathers containing spurious events, even when provided with a kinematically correct migration velocity field, if this velocity field is highly refractive. This pathology occurs in all migration methods that produce partial images as independent migrations of data bins. Shot-geophone prestack depth migration is an exception to this pattern: each point in the prestack image volume depends explicitly on all traces within the migration aperture. Using a ray-theoretical analysis, we have found that shot-geophone migration produces focused subsurface-offset domain or flat scattering-angle domain image gathers, provided there is a curvilinear coordinate system defining pseudodepth with respect to which the rays carrying significant energy do not turn, and that the acquisition coverage is sufficient to determine all such rays.Although the analysis is theoretical and idealized, a synthetic example suggests that its implications remain valid for practical implementations, and that shot-geophone prestack depth migration could be a particularly appropriate tool for velocity analysis in a complex structure.
Advancing theory on knowledge governance in universities: a case study of a higher education merger

The deep structure of university knowledge governance system is uncharted. In an exploratory case study of a university merger with an art college, this study inductively examines how knowledge governance structures in universities affect (and are affected by) the creation and passing on of knowledge. The authors found the university governance system to provide advantages primarily for the management of core academic activities of knowledge creation through articulation and for the passing on and dissemination of knowledge through replication. It is also conducive to the coordination and integration of specialized administrative expertise. However, despite insistent calls for more inter-disciplinary research, it tends to discourage the pursuit of innovative, inter-disciplinary combinations of knowledge. These findings shed light on the characteristics of the deep structure of university knowledge governance systems in academic work, namely academic staff identification with, and allegiance to, individual disciplines, as well as the independence of academic work from its particular organizational setting.
Metabolic Flux Analysis of Mitochondrial Uncoupling in 3T3-L1 Adipocytes

Background Increasing energy expenditure at the cellular level offers an attractive option to limit adiposity and improve whole body energy balance. In vivo and in vitro observations have correlated mitochondrial uncoupling protein-1 (UCP1) expression with reduced white adipose tissue triglyceride (TG) content. The metabolic basis for this correlation remains unclear. Methodology/Principal Findings This study tested the hypothesis that mitochondrial uncoupling requires the cell to compensate for the decreased oxidation phosphorylation efficiency by up-regulating lactate production, thus redirecting carbon flux away from TG synthesis. Metabolic flux analysis was used to characterize the effects of non-lethal, long-term mitochondrial uncoupling (up to 18 days) on the pathways of intermediary metabolism in differentiating 3T3-L1 adipocytes. Uncoupling was induced by forced expression of UCP1 and chemical (FCCP) treatment. Chemical uncoupling significantly decreased TG content by ca. 35%. A reduction in the ATP level suggested diminished oxidative phosphorylation efficiency in the uncoupled adipocytes. Flux analysis estimated significant up-regulation of glycolysis and down-regulation of fatty acid synthesis, with chemical uncoupling exerting quantitatively larger effects. Conclusions/Significance The results of this study support our hypothesis regarding uncoupling-induced redirection of carbon flux into glycolysis and lactate production, and suggest mitochondrial proton translocation as a potential target for controlling adipocyte lipid metabolism.
Evaluating the Robustness of Game Theoretic Solutions When Using Abstraction

Game theory is a tool for modeling multi-agent decision problems and has been used to analyze strategies in domains such as poker, security, and trading agents. One method for solving very large games is to use abstraction techniques to shrink the game by removing detail, solve the reduced game, and then translate the solution back to the original game. We present a methodology for evaluating the robustness of different game-theoretic solution concepts to the errors introduced by the abstraction process. We present an initial empirical study of the robustness of several solution methods when using abstracted games.
Optimal Training Design for Channel Estimation in Amplify and Forward Relay Networks

In this paper, we study training based channel estimation for relay networks using the amplify-and-forward (AF) transmission scheme. We first point out that separately estimating the channel from source to relay and the channel from relay to destination incurs several problems. We then propose a new estimation scheme that directly estimates the overall channel from source to destination. The proposed channel estimation well matches the AF based space time coding that was developed recently. Both linear least-square estimator and minimum mean- square-error estimator are studied. The corresponding optimal training sequences and the optimal precoding matrices are also derived.
Implementation of Genomic Prediction in Lolium perenne (L.) Breeding Populations

Perennial ryegrass (Lolium perenne L.) is one of the most widely grown forage grasses in temperate agriculture. In order to maintain and increase its usage as forage in livestock agriculture, there is a continued need for improvement in biomass yield, quality, disease resistance, and seed yield. Genetic gain for traits such as biomass yield has been relatively modest. This has been attributed to its long breeding cycle, and the necessity to use population based breeding methods. Thanks to recent advances in genotyping techniques there is increasing interest in genomic selection from which genomically estimated breeding values are derived. In this paper we compare the classical RRBLUP model with state-of-the-art machine learning techniques that should yield themselves easily to use in GS and demonstrate their application to predicting quantitative traits in a breeding population of L. perenne. Prediction accuracies varied from 0 to 0.59 depending on trait, prediction model and composition of the training population. The BLUP model produced the highest prediction accuracies for most traits and training populations. Forage quality traits had the highest accuracies compared to yield related traits. There appeared to be no clear pattern to the effect of the training population composition on the prediction accuracies. The heritability of the forage quality traits was generally higher than for the yield related traits, and could partly explain the difference in accuracy. Some population structure was evident in the breeding populations, and probably contributed to the varying effects of training population on the predictions. The average linkage disequilibrium between adjacent markers ranged from 0.121 to 0.215. Higher marker density and larger training population closely related with the test population are likely to improve the prediction accuracy.
A HIERARCHICAL APPROACH TO AUTOMATIC MUSICAL GENRE CLASSIFICATION

A system for the automatic classification of audio signals according to audio category is presented. The signals are recognized as speech, background noise and one of 13 musical genres. A large number of audio features are evaluated for their suitability in such a classification task, including well-known physical and perceptual features, audio descriptors defined in the MPEG-7 standard, as well as new features proposed in this work. These are selected with regard to their ability to distinguish between a given set of audio types and to their robustness to noise and bandwidth changes. In contrast to previous systems, the feature selection and the classification process itself are carried out in a hierarchical way. This is motivated by the numerous advantages of such a tree-like structure, which include easy expansion capabilities, flexibility in the design of genre-dependent features and the ability to reduce the probability of costly errors. The resulting application is evaluated with respect to classification accuracy and computational costs.
Physiological metrics of mental workload: A review of recent progress

Abstract : This report reviews research on physiological metrics of mental workload performed in the last decade. The focus of the review is on measurement techniques that have potential for fundamental explanation of mental workload and for use in operational environments. The techniques are examined within a framework of measurement criteria. These criteria include: sensitivity, diagnosticity, intrusiveness, reliability, and generality of application. Over 200 articles are covered by the review. Measures reviewed include: electroencephalograms, event-related potentials, magnetoencephalograms, positron emission tomography, electro-oculograms, cardiovascular measures, pupillometry, respiratory measures, and electrodetmal measures. Keywords: Mental workload, Physiological metrics, Electroencephalogram, Magnetoencephalogram, Cardiovascular function, Pupillometry, Respiration, Electrodermal responses.
Allelic Exclusion of the T Cell Receptor β Locus Requires the Sh2 Domain–Containing Leukocyte Protein (Slp)-76 Adaptor Protein

Signaling via the pre-T cell receptor (TCR) is required for the proliferative expansion and maturation of CD4−CD8− double-negative (DN) thymocytes into CD4+CD8+ double-positive (DP) cells and for TCR-β allelic exclusion. The adaptor protein SH2 domain–containing leukocyte protein (SLP)-76 has been shown to play a crucial role in thymic development, because thymocytes of SLP-76−/− mice are arrested at the CD25+CD44− DN stage. Here we show that SLP-76−/− DN thymocytes express the pre-TCR on their surfaces and that introduction of a TCR-α/β transgene into the SLP-76−/− background fails to cause expansion of DN thymocytes or developmental progression to the DP stage. Moreover, analysis of TCR-β rearrangement in SLP-76−/− TCR-transgenic mice or in single CD25+CD44− DN cells from SLP-76−/− mice indicates an essential role of SLP-76 in TCR-β allelic exclusion.
A fully distributed power control algorithm for cellular mobile systems

Several distributed power control algorithms that can achieve carrier-to-interference ratio (CIR) balancing with probability one have been proposed previously for cellular mobile systems. In these algorithms, only local information is used to adjust transmitting power. However, a normalization procedure is required in each iteration to determine transmitting power and, thus, these algorithms are not fully distributed. In this paper, we present a distributed power control algorithm which does not need the normalization procedure. We show that the proposed algorithm can achieve CIR balancing with probability one. Moreover, numerical results reveal our proposed scheme performs better than the algorithm presented in Grandhi et al. [1994]. The excellent performance and the fully distributed property make our proposed algorithm a good choice for cellular mobile systems.
THE VALUE OF BOREHOLE-TO-SURFACE INFORMATION IN NEAR-SURFACE CROSSWELL SEISMIC TOMOGRAPHY

Detailed information about the spatial distribution of subsurface properties is important in many fields. One method that can image the seismic velocity structure of the shallow subsurface is crosswell seismic tomography. By including rays traveling from the boreholes to the surface, the angular coverage of crosswell tomograms can be significantly improved. We investigated the effects of these borehole-to-surface rays on synthetic and field data. The tests on synthetic data showed that including borehole-tosurface information did not significantly change the tomogram’s resolution. Tomographic inversion of a field data set collected at the Boise Hydrogeophysical Research Site, however, showed that including borehole-to-surface information improves a tomogram’s ability to image layer boundaries, and improves the velocity estimates for slow layers. The tomogram generated using the crosswell and borehole-to-surface information is consistent with the previously interpreted hydrostratigraphic units at the site.
An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity

Abstract To efficiently learn from feedback, cortical networks need to update synaptic weights on multiple levels of cortical hierarchy. An effective and well-known algorithm for computing such changes in synaptic weights is the error backpropagation algorithm. However, in this algorithm, the change in synaptic weights is a complex function of weights and activities of neurons not directly connected with the synapse being modified, whereas the changes in biological synapses are determined only by the activity of presynaptic and postsynaptic neurons. Several models have been proposed that approximate the backpropagation algorithm with local synaptic plasticity, but these models require complex external control over the network or relatively complex plasticity rules. Here we show that a network developed in the predictive coding framework can efficiently perform supervised learning fully autonomously, employing only simple local Hebbian plasticity. Furthermore, for certain parameters, the weight change in the predictive coding model converges to that of the backpropagation algorithm. This suggests that it is possible for cortical networks with simple Hebbian synaptic plasticity to implement efficient learning algorithms in which synapses in areas on multiple levels of hierarchy are modified to minimize the error on the output.