Miracle-dz/UniFAR-FTUs huggingface dataset:
Consequences of regulatory fit for leader–follower relationship quality and commitment

A central tenet of regulatory focus theory is that people hold more positive appraisals and exhibit greater dedication when their regulatory focus is congruent with the orientation of the immediate context, a phenomenon known as regulatory fit. Unfortunately, scant attention has been paid to regulatory fit in interpersonal contexts and the consequences of relationship partners having congruent promotion and prevention foci. Integrating regulatory fit theory with theories of relational leadership, we predicted that regulatory fit would enhance relationship quality and commitment within leader–follower dyads. These predictions were examined across three samples, using data collected from multiple sources and at multiple times. Our results indicated that promotion fit, prevention fit and the interaction between them predicted relationship quality and commitment to the leader, which in turn predicted leader-targeted citizenship behaviour and withdrawal cognition. These relationships remained after controlling for demographic fit and followers’ and leader's individual regulatory foci. Practitioner points Leader–follower regulatory fit predicts high-quality relationship with one's supervisor. Leader–follower promotion fit predicts affective commitment to supervisor. Leader–follower prevention fit predicts normative commitment to supervisor. Promotion fit and prevention fit interact to have synergistic effects on outcomes.
Commutation-Torque-Ripple Minimization in Direct-Torque-Controlled PM Brushless DC Drives

This paper describes an improved implementation of direct torque control (DTC) to a permanent-magnet brushless dc (BLDC) drive. The commutation torque ripple, which occurs every 60deg elec. in a conventional three-phase BLDC machine with two-phase 120deg elec. conduction, is reduced by employing a hybrid two- and three-phase switching mode during the commutation periods. It is based on the criterion of minimizing the error between the commanded torque and the estimated torque and does not require knowledge of the conduction duration of the three-phase switching mode. It adaptively adjusts the phase-current waveform to maintain constant electromagnetic torque so that commutation torque ripple, which would have resulted with conventional DTC, particularly at high rotational speeds, is effectively eliminated, as confirmed by both simulations and measurements.
A 2.5-bit/cycle 10-bit 160-MS/s SAR ADC in 90-nm CMOS process

This paper presents a single-channel 2.5-bit/cycle successive-approximation register (SAR) analog-to-digital converter (ADC). In comparison with conventional 2.5-bit/cycle SAR ADC, the proposed technique can save one sub-digital-to-analog converter (sub-DAC) and reduce the requirement on resolution for the other sub-DACs. Besides, the proposed digital code error correction provides a wider error tolerance range. The proposed ADC was fabricated in TSMC 90-nm CMOS process. At 1-V supply and 160 MS/s, the measured peak signal-to-noise and distortion ratio (SNDR) is 53.06 dB with power consumption of 1.97 mW.
Simplified Channel Model for Simulation of Free-Space Optical Communications

Free-space optical (or optical wireless) communications represent an attractive technology for the realization of high-bandwidth wireless communications. However, for propagation through the atmosphere the characteristics of the optical signal are different from those of the signals from, e.g., fiber channels or radio-frequency wireless channels, and therefore the error characteristics on these links are also different. For evaluating fading mitigation techniques for optical wireless communications a channel model is needed that can be easily used by protocol designers. Existing channel models for optical wireless communications are based on atmospheric propagation theory and therefore require a deep physical understanding of the optical propagation through the atmosphere. The goal of this publication is to develop a simplified approach for modeling the received power dynamics of the atmospheric free-space optical channel. The proposed model consists of a random number generator and a low-pass filter and is therefore easy to implement and use. This approach is only valid for systems utilizing intensity modulation with direct detection, but this limitation is acceptable since most commercially available systems use this modulation format. The channel model is developed based on the statistics of received power measurements from a maritime-mobile link, a land-mobile link, and a satellite downlink.
Neuro-fuzzy logic based fusion algorithm of medical images

CT, single photon emission computed tomography (SPECT) and nuclear magnetic resonance imaging (MRI) are complementary on reflecting human information. In order to provide more useful information for clinical diagnosis, we have a need to fuse the effective information. In the pixel-level fusion between the medical images, we presented a fusion algorithm based on neuro-fuzzy logic in this paper, and utilized hybrid algorithm which mixes BP algorithm with least mean square (LMS) algorithm to train the parameters of membership function. Employ the data of medical image CT, SPECT and MRI to achieve the fusion simulation, and compare with the simulation results of BP neural network on the basis of the evaluation standards which are the standard deviation and the information entropy. By the contrast and analysis, we got the following conclusions: the fused images based on neuro-fuzzy logic not only reserve more texture features, but also enhance the information characteristics of two original images.
Tight bounds on the Lovász-Schrijver rank for approximate Capacitated Facility Location ∗

In the Capacitated facility location (Cfl) problem we are given a set F of facilities and a set C of clients in a common metric space. Every facility has a hard capacity ui. Opening a facility i incurs a nonnegative cost fi, while assigning a client j to facility i incurs a nonnegative connection cost cij . The goal is to open a subset F ′ ⊆ F of the facilities and assign each client to an open facility so that at most ui clients are assigned to facility i and the total cost is minimized. Cfl is approximable within a constant factor via local search but the natural LP relaxation has an unbounded integrality gap. It is an open question whether there is a relaxation-based approximation algorithm for Cfl or even if an LP with constant integrality gap exists. We present the first study of a comprehensive family of strengthened linear programs for this problem. We consider the hierarchy of polytopes resulting from repeated applications of the Lovász-Schrijver lift-and-project operator on the standard fractional polytope. We show that the LP relaxation for Cfl resulting in Ω(n) rounds, where n is the number of facilities in the instance, has an unbounded integrality gap. The Lovász-Schrijver procedure is known to yield an exact formulation for Cfl in at most n rounds. ∗This research has been co-financed by the European Union (European Social Fund – ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) Research Funding Program: “Thalis. Investing in knowledge society through the European Social Fund”. †Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimiopolis Ilissia, Athens 157 84, Greece; (www.di.uoa.gr/ ̃sgk). Part of this work conducted while visiting the IEOR Department, Columbia University, New York, NY 10027. ‡Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimiopolis Ilissia, Athens 157 84, Greece; (gmoys@di.uoa.gr). Partially supported by an NKUAELKE graduate fellowship.
Heat Shock Protein 90 (HSP90) and Her2 in Adenocarcinomas of the Esophagus

Her2 overexpression and amplification can be found in a significant subset of esophageal adenocarcinomas. The activity of Her2 has been shown to be modulated by molecular chaperones such as HSP90. We analyzed expression/amplification data for HSP90 and Her2 on 127 primary resected esophageal adenocarcinomas in order to evaluate a possible relationship between these two molecules. HSP90 expression determined by immunohistochemistry was observed in various levels. Thirty nine (39) tumors (30.7%) were classified as Her2-positive according to their immunoreactivity and amplification status. There was a significant correlation between HSP90 expression and Her2-status (p = 0.008). This could also be demonstrated by quantitative protein expression analysis with reverse phase protein arrays (r = 0.9; p < 0.001). Her2-status was associated withpT-category (p = 0.041), lymph node metastases (p = 0.049) and tumor differentiation (p = 0.036) with a higher percentage of cases with negative Her2 status in lower tumor stagesA negative Her2-status was also associated with better survival in univariate and multivariate analysis (p = 0.001 and p = 0.014). For HSP90, no associations between clinical and pathological parameters were found. The observed association between HSP90 expression and Her2 suggests a co-regulation of these molecules in at least a subset of esophageal adenocarcinomas. Anti-HSP90 drugs, which recently have been introduced in cancer treatment, may also be an option for these tumors by targeting HSP90 alone or in combination with Her2.
Feasibility Study and Performance Analysis of a Gyroless Orientation Tracker

Inertial orientation tracking systems commonly use three types of sensors: accelerometers, magnetometers, and gyroscopes. The angular rate signal is used to obtain a dead reckoning estimate, whereas the gravitational and local magnetic field measures allow us to apply a correction and to obtain a drift-free result. Considering the present market of inertial MEMS sensors, the current consumption of gyroscopes represents a major part of the power budget of wireless inertial sensor nodes, which should be minimized given the mobility of the application. This paper introduces an orientation tracking algorithm, based on an unscented Kalman filter, that does not require angular rate data for tracking human movements up to 450 °/s , which is a reasonable value for many applications. Since accelerometers measure other accelerations beside gravity and magnetometers are prone to magnetic disturbances, adaptive techniques are applied in order to reduce the influence on the estimations. The performance of the system is quantitatively analyzed and compared to an estimator that includes angular rate information.
WHAT SPEECH TELLS US ABOUT DISCOURSE: THE ROLE OF PROSODIC AND DISCOURSE FEATURES IN DIALOGUE ACT CLASSIFICATION

ii DEDICATION To my parents ……… One of them survived cancer with the hope to see her son excel, whereas the other one financially burdened himself to ensure his son's proper education. iii ACKNOWLEDGEMENTS I would like to first thank all my thesis committee members, Drs. Mohammed Yeasin, Max Louwerse, and David Russomanno, for proving invaluable guidance and suggestions towards this work. I would like to extend my sincere appreciation towards my colleagues from Multiple Aspects of Discourse (MAD) Lab for their help with the experiment set up, data collection, and data analysis. I also want to acknowledge my colleagues from the Computer Vision, Pattern and Image Analysis (CVPIA) Lab for being very supportive of my research throughout my tenure in Memphis. I would like to thank Nafisa Alam who worked diligently on speech segmentation from Chicago over the weekends. Without her contribution, this thesis would not have been finished on time. My parents have endured the pain of being away from their son for eight years to ensure my proper education. I sincerely acknowledge the sacrifices that they have made throughout the years. This thesis investigates the automatic dialogue acts classification in multimodal communication using prosody, discourse features, and their fusion. From an experiment investigating multimodal communication, eight hours of natural audio data was collected. Prosodic and discourse features, which were believed to be strong correlates of dialogue acts, were extracted and the best features were selected using a combination of feature selection algorithms. A variety of classifiers, including traditional and ensemble, were designed and evaluated on a dialogue act classification to compare their performance. The results show that the ensemble feature selection based classification performs consistently across all the models with high validation scores. The final results demonstrated 55% accuracy on classifying 14 dialogues based on prosody, 75% accuracy with discourse and 74% with their fusion, for the best classifier. The unexpected reduction of performance due to fusion is possibly due to the lack of proper normalization of data coming from two different sources and is subject to further exploration.
Combinatorial Control of Light Induced Chromatin Remodeling and Gene Activation in Neurospora

Light is an important environmental cue that affects physiology and development of Neurospora crassa. The light-sensing transcription factor (TF) WCC, which consists of the GATA-family TFs WC1 and WC2, is required for light-dependent transcription. SUB1, another GATA-family TF, is not a photoreceptor but has also been implicated in light-inducible gene expression. To assess regulation and organization of the network of light-inducible genes, we analyzed the roles of WCC and SUB1 in light-induced transcription and nucleosome remodeling. We show that SUB1 co-regulates a fraction of light-inducible genes together with the WCC. WCC induces nucleosome eviction at its binding sites. Chromatin remodeling is facilitated by SUB1 but SUB1 cannot activate light-inducible genes in the absence of WCC. We identified FF7, a TF with a putative O-acetyl transferase domain, as an interaction partner of SUB1 and show their cooperation in regulation of a fraction of light-inducible and a much larger number of non light-inducible genes. Our data suggest that WCC acts as a general switch for light-induced chromatin remodeling and gene expression. SUB1 and FF7 synergistically determine the extent of light-induction of target genes in common with WCC but have in addition a role in transcription regulation beyond light-induced gene expression.
A Comparison of Sound Segregation Techniques for Predominant Instrument Recognition in Musical Audio Signals

The authors address the identification of predominant music instruments in polytimbral audio by previously dividing the original signal into several streams. Several strategies are evaluated, ranging from low to high complexity with respect to the segregation algorithm and models used for classification. The dataset of interest is built from professionally produced recordings, which typically pose problems to state-of-art source separation algorithms. The recognition results are improved a 19% with a simple sound segregation pre-step using only panning information, in comparison to the original algorithm. In order to further improve the results, we evaluated the use of a complex source separation as a pre-step. The results showed that the performance was only enhanced if the recognition models are trained with the features extracted from the separated audio streams. In this way, the typical errors of state-of-art separation algorithms are acknowledged, and the performance of the original instrument recognition algorithm is improved in up to 32%.
A Minimal Solution to Radial Distortion Autocalibration

Simultaneous estimation of radial distortion, epipolar geometry, and relative camera pose can be formulated as a minimal problem and solved from a minimal number of image points. Finding the solution to this problem leads to solving a system of algebraic equations. In this paper, we provide two different solutions to the problem of estimating radial distortion and epipolar geometry from eight point correspondences in two images. Unlike previous algorithms which were able to solve the problem from nine correspondences only, we enforce the determinant of the fundamental matrix be zero. This leads to a system of eight quadratic and one cubic equation in nine variables. We first simplify this system by eliminating six of these variables and then solve the system by two alternative techniques. The first one is based on the Gröbner basis method and the second one on the polynomial eigenvalue computation. We demonstrate that our solutions are efficient, robust, and practical by experiments on synthetic and real data.
Thyroid cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

Thyroid cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up F. Pacini, M. G. Castagna, L. Brilli & G. Pentheroudakis On behalf of the ESMO Guidelines Working Group* Section of Endocrinology and Metabolism, Department of Internal Medicine, Endocrinology and Metabolism and Biochemistry, Section of Endocrinology and Metabolism, University of Siena, Siena, Italy; Department of Medical Oncology, Ioannina University Hospital, Ioannina, Greece
FaceBots: Steps towards enhanced long-term human-robot interaction by utilizing and publishing online social information

The overarching goal of the FaceBots project is to support the achievement of sustainable long-term human-robot relationships through the creation of robots with face recognition and natural language capabilities, which exploit and publish online information, and especially social information available on Facebook, and which achieve two significant novelties. The underlying experimental hypothesis is that such relationships can be significantly enhanced if the human and the robot are gradually creating a pool of episodic memories that they can co-refer to (“shared memories”), and if they are both embedded in a social web of other humans and robots they mutually know (“shared friends”). We present a description of system architecture, as well as important concrete results regarding face recognition and transferability of training, with training and testing sets coming from either one or a combination of two sources: an onboard camera which can provide sequences of images, as well as facebook-derived photos. Furthermore, early interaction-related results are presented, and evaluation methodologies as well as interesting extensions are discussed.
Economic News and Personal Economic Expectations

Personal economic evaluations are a component of consumer confidence and predict political behavior. However, very few studies have examined the link between mediated information and personal economic evaluations. This research examines the conditions under which exposure to media content influences personal economic expectations as well as which sources of information impact personal economic expectations. Results are based on an integration of a four-wave national panel survey and media content data. Findings show that exposure to unemployment news in tabloid outlets was a significant predictor of personal economic expectations. The implications of these results are further discussed.
The effect of broadening the definition of generalized anxiety disorder on healthcare resource utilization and related costs in outpatient psychiatric clinics

Background: Patients with generalized anxiety disorder (GAD) are among the highest users of healthcare resources. The broadening of the DSM-IV criteria for GAD has been a subject of controversy in the literature, but its consequences have not been analyzed to date. Objective: The purpose of this study was to analyze how the broadening of the DSM-IV criteria affects healthcare resource utilization and related costs. Methods: A multicentre, prospective, observational study was conducted in randomly selected outpatient psychiatric clinics between October 2007 and April 2008. Patients diagnosed according to DSM-IV or broader criteria (1 month of excessive or non-excessive worry and only 2 associated DSM-IV symptoms) for the first time were consecutively enrolled. Socio-demographic data, healthcare resources and corresponding costs were collected over a 6-month period. Results: A total of 3549 patients were systematically recruited, 1815 in the DSM-IV criteria group (DG) and1264 inthe broad criteria group (BG). Treatments prescribed were similar for antidepressants in both groups (77.0% in the DG vs. 75.3% in the BG, p = 0.284), and slightly higher in the DG for benzodiazepines (71.5% vs. 67.2% respectively, p = 0.011) and anticonvulsants (72.1% vs. 67.0% respectively, p = 0.002). Healthcare resource utilization was statistically reduced to a similar extent in both groups as a consequence of treatment, yielding a reduction in the cost of illness of €1196 (SD = 1158) and €1112 (SD = 874) respectively; p = 0.304, over a 6-month period. Conclusion: The broadening of the GAD criteria could lead to earlier diagnosis not necessarily associated with an increase in healthcare resource utilization or costs to the National Health System in the six-month follow-up.
If you repeat your interlocutor's syntactic structure, you are likely to repeat her pronunciation, too

Past studies showed that in dialogue, interlocutors copy each others’ behavior in various ways. Copying on one grammatical level leads to increased chances of copying on other levels as well, a so-called ‘alignment boost’. The identification of specific alignment boosts offers important insights into the architecture of language comprehension and production because it highlights relations between different types of linguistic representations. We examine the possibility of a direct influence from grammar on sound with no involvement of the conceptual system. In priming experiments with non-words, we show the existence of a direct syntactic alignment boost to segmental phonology. The outcomes are of relevance to models of language processing.
Effect of light illumination on the low-frequency noises in amorphous-IGZO TFTs

We investigate the low frequency noise (LFN) behaviors of the amorphous indium-gallium-zinc oxide (a-IGZO) thin film transistors (TFTs) under light illumination. The LFNs are measured after the illumination of light with various wavelengths, and the measured data shows that the normalized noise spectral density (Sid/ID2) significantly decreases after the illumination of blue light. This phenomenon can be attributed to the increased number of carriers after the illumination of blue light in a-IGZO TFTs. In some devices, we found that the transfer curve and the Sid/ID2 significantly changes when source and drain biases are exchanged. The exact mechanism causing this phenomenon is not exactly known yet, but the different Schottky barrier height between source/a-IGZO interface and drain/a-IGZO interface is considered as a possible cause of this phenomenon. We also found that the Schottky contact noise from the contact can be significantly reduced by illuminating the blue light on the contact region in a-IGZO TFTs.
Night-time pedestrian detection by visual-infrared video fusion

A method of night-time pedestrian detection by fusion of visual and infrared video was proposed. At first, infrared video is denoised by spatio-temporal filtering, then bright regions which corresponding to high temperature regions in infrared video frames are segmented by seeded region growing algorithm, then pedestrian are detected by fusion of region-color and region-shape information, at last, infrared video and visual video are fused to enhance detection result. Results show that combination of CCD and IR camera sensors can help to solve night-time surveillance problem.