Miracle-dz/UniFAR-FTUs huggingface dataset:
Spaceborne Traffic Monitoring with Dual Channel Synthetic Aperture Radar Theory and Experiments

This paper revises the theoretical background for upcoming dual-channel Radar satellite missions to monitor traffic from space. As it is well-known, an object moving with a velocity deviating from the assumptions incorporated in the focusing process will generally appear both displaced and blurred in the azimuth direction. To study the impact of these (and related) distortions in focused SAR images, the analytic relations between an arbitrarily moving point scatterer and its conjugate in the SAR image have been reviewed and adapted to dual-channel satellite specifications. To be able to monitor traffic under these boundary conditions in real-life situations, a specific detection scheme is proposed. This scheme integrates complementary detection and velocity estimation algorithms with knowledge derived from external sources as, e.g., road databases.
Generalized nested sampling for compression and exact recovery of symmetric Toeplitz matrices

This paper considers the problem of estimating the symmetric and Toeplitz covariance matrix of compressive samples of wide sense stationary random vectors. A new structured deterministic sampling method known as the "Generalized Nested Sampling" is introduced which enables compressive quadratic sampling of symmetric Toeplitz matrices. , by fully exploiting the inherent redundancy in the Toeplitz matrix. For a Toeplitz matrix of size N ×N, this sampling scheme can attain a compression factor of O(√N) even without assuming sparsity and/or low rank, and allows exact recovery of the original Toeplitz matrix. When the matrix is sparse, a new hybrid sampling approach is proposed which efficiently combines Generalized Nested Sampling and Random Sampling to attain even greater compression rates, which, under suitable conditions can be as large as O(√N), using a novel observation formulated in this paper.
Wavelet-Based Color Image Segmentation using Self-Organizing Map Neural Network

Image segmentation has been and is likely to be an important component of the content-based image acquisition and retrieval systems. In this paper, we have proposed an image segmentation technique that uses Kohonen's self-organizing map (SOM) neural network for segmentation of color images. It has been observed that, SOM training if performed on the wavelet-transformed image, not only reduces the training time of the SOM but also make more compact segments. Our experiments have shown better results produced by our proposed technique than the previous approaches in practice.
Information-Sharing and Community-Building: Exploring the Use of Twitter in Science Public Relations

Social media have given rise to new opportunities for science organizations to communicate with the public. Building on theories of science communication and public relations, this study examined scientific institutions’ use of Twitter for one-way and two-way communication in connection with science festivals over the period 2012 to 2015, using NanoDays as a case study. It identified three communicative functions of tweets by organizations—information, participation, and community—with most tweets being informational and containing hyperlinks. Nevertheless, longitudinal analyses indicated that organizations have increasingly incorporated community-building practices such as hashtags. Findings help clarify how social media engender science communication paradigms.
Analysis and Improvement of a Verifiable Phrase Search over Encrypted Data in a Single Phrase

Z. A. Kissel proposed a verifiable single-phase phrase search scheme using symmetric encryption algorithm, which was proved non-adaptively secure in the Semi-Honestbut-Curious (SHBC) model. We present a security analysis of Z. A. Kissel's scheme and show that the cloud service provider can obtain some new phrases' trapdoors and search outcomes based on the client's a phrase query. Additionally, we propose an improvement to simplify Kissel's scheme and enhance its security.
Recent Progress in Alzheimer’s Disease Research, Part 3: Diagnosis and Treatment

The field of Alzheimer’s disease (AD) research has grown exponentially over the past few decades, especially since the isolation and identification of amyloid-β from postmortem examination of the brains of AD patients. Recently, the Journal of Alzheimer’s Disease (JAD) put forth approximately 300 research reports which were deemed to be the most influential research reports in the field of AD since 2010. JAD readers were asked to vote on these most influential reports. In this 3-part review, we review the results of the 300 most influential AD research reports to provide JAD readers with a readily accessible, yet comprehensive review of the state of contemporary research. Notably, this multi-part review identifies the “hottest” fields of AD research providing guidance for both senior investigators as well as investigators new to the field on what is the most pressing fields within AD research. Part 1 of this review covers pathogenesis, both on a molecular and macro scale. Part 2 review genetics and epidemiology, and part 3 covers diagnosis and treatment. This part of the review, diagnosis and treatment, reviews the latest diagnostic criteria, biomarkers, imaging, and treatments in AD.
PathSync: Multi-User Gestural Interaction with Touchless Rhythmic Path Mimicry

In this paper, we present PathSync, a novel, distal and multi-user mid-air gestural technique based on the principle of rhythmic path mimicry; by replicating the movement of a screen-represented pattern with their hand, users can intuitively interact with digital objects quickly, and with a high level of accuracy. We present three studies that each contribute (1) improvements to how correlation is calculated in path-mimicry techniques necessary for touchless interaction, (2) a validation of its efficiency in comparison to existing techniques, and (3) a demonstration of its intuitiveness and multi-user capacity 'in the wild'. Our studies consequently demonstrate PathSync's potential as an immediately legitimate alternative to existing techniques, with key advantages for public display and multi-user applications.
Multiple Sources toward the High-Mass Young Star S140 IRS 1

S140 IRS 1 is a remarkable source where the radio source at the center of the main bipolar molecular outflow in the region is elongated perpendicular to the axis of the outflow, an orientation opposite to that expected if the radio source is a thermal jet exciting the outflow. We present results of 1.3 cm continuum and H2O maser emission observations made with the Very Large Array in its A configuration toward this region. In addition, we also present results of continuum observations at 7 mm and reanalyze observations at 2, 3.5, and 6 cm (previously published). IRS 1A is detected at all wavelengths, showing an elongated structure. Three water maser spots are detected along the major axis of the radio source IRS 1A. We have also detected a new continuum source at 3.5 cm (IRS 1C) located ≃0.6″ northeast of IRS 1A. The presence of these two young stellar objects (IRS 1A and 1C) could explain the existence of the two bipolar molecular outflows observed in the region. In addition, we have also detected three continuum clumps (IRS 1B, 1D, and 1E) located along the major axis of IRS 1A. We discuss two possible models to explain the nature of IRS 1A: a thermal jet and an equatorial wind.
Components of love and relationship satisfaction: Lesbians and heterosexual women.

171 COPYRIGHT 2012 BY PSI CHI, THE INTERNATIONAL HONOR SOCIETY IN PSYCHOLOGY (VOL. 17, NO. 4/ISSN 2164-8204) *Faculty mentor Research on intimate relationships has focused primarily on heterosexual couples (Kurdek, 1994). Little research is available to help researchers and practitioners alike understand if these theories and findings are applicable, in part or in whole, to lesbian and gay males in relationships. Large discrepancies exist between lesbians and heterosexual women in romantic relationships, ranging from the visibility of their relationships to how their relationships are perceived by society (Felicio & Sutherland, 2001). For instance, in research on heterosexual couples, a central concept is gender differences (Eldridge & Gilbert, 1990), and the heteronormative construct of gender does not pertain to lesbian and gay male relationships (Kurdek, 1994). Additionally, same-sex couples often develop outside of the context of social sanctions and support of family members (Kurdek, 1994). The current study seeks to fill a knowledge gap by focusing on lesbians in relationships. This study explores relationship satisfaction, commitment, passion, and intimacy in lesbians and heterosexual women. These three variables were chosen to provide a comprehensive understanding of relationships as experienced by women of varying sexual orientations.
Assessing the range of kinase autoinhibition mechanisms in the insulin receptor family

To investigate the range of autoinhibitory mechanisms used by TKDs (tyrosine kinase domains) from the insulin receptor family of RTKs (receptor tyrosine kinases), we determined crystal structures of TKDs from TrkA (tropomyosin receptor kinase A, a nerve growth factor receptor) and Ror2 (receptor tyrosine kinase-like orphan receptor 2, an unconventional Wnt receptor). TrkA autoinhibition closely resembles that seen for the insulin receptor, relying on projection of an activation loop tyrosine residue into the substrate-binding site and occlusion of the ATP-binding site by the activation loop. Ror2 employs similar mechanisms, but the unusual replacement of the phenylalanine residue in its Asp-Phe-Gly motif with leucine necessitates occlusion of the ATP-binding site by other means. The unusual Asp-Leu-Gly motif in Ror2 is displaced compared with other inactive kinases, allowing the activation loop to interact directly with the TKD's αC helix, in another mode of autoinhibition that is characteristic of the other extreme of this receptor family: ALK (anaplastic lymphoma kinase) and Met. These findings provide insight into the expected range of activating mutations in these TKDs in cancer. We also describe symmetrical dimers of the inactive TrkA TKD resembling those found in other RTKs, possibly reflecting an arrangement of kinase domains in a pre-formed TrkA dimer.
The Argus prototype: aggregate use of load modules as a high‐density supercomputer

This paper describes the ARGUS prototype, a high‐density, low‐power supercomputer built from an IXIA network analyzer chassis and load modules. The prototype is configured as a diskless distributed system that is scalable to 128 processors in a single 9U chassis. The entire system has a footprint of 0.25 m2 (2.5 ft2), a volume of 0.09 m3 (3.3 ft3) and maximum power consumption of less than 2200 W. We compare and contrast the characteristics of ARGUS against various machines including our on‐site 32‐node Beowulf and LANL's Green Destiny. Our results show that the computing density (Gflops ft−3) of ARGUS is about 30 times higher than that of the Beowulf and about three times higher than that of Green Destiny with a comparable performance. Copyright © 2006 John Wiley & Sons, Ltd.
The Corporate Networks and Symbolic Capital of British Business Leaders

Has globalization diminished the cohesion and influence of British corporate elites? I draw on data from The Times’ ranking of British business elites in the years preceding the 2008 financial crisis to address this question. The analysis finds elites with royal titles, Oxbridge educations, and English identities are not especially central in director networks. Despite being cohesive, director networks are globally diverse and the symbols of the British ruling class are not central in them. However, those symbols are important to centrality in director networks when taking into account strong ties. The similarity and familiarity of strong ties deepen the influence of symbolic capital in board networks because they place it in a social context. These findings suggest that corporate elites in Britain have a dual loyalty to both globalization and the traditional symbols of the British ruling class.
Optimal Reliability Allocation in Series-parallel Systems from Components ’ Discrete Cost-reliability Data Sets : a Nested Simulated Annealing Approach

It is generally accepted that a component’s cost is an increasing function of its reliability. Most researchers adopt exponentially increasing functions for optimal reliability / redundancy allocation problem formulations. In this paper we address cases where an exact, convex relationship between reliability and cost is not known. Instead, we consider the more realistic assumption of discrete cost-reliability data sets for each component. The resulting integer programming formulations are non-linear and NP hard. We use a nested simulated annealing (SA) approach; one SA for feasibility and one SA for optimality to solve this difficult problem while ensuring feasibility of the final solution. This approach is demonstrated on two example problems with large search spaces.
Relational Energy & Employee Engagement:Role of Employee Voice & Organisational Support

Engaged employees are the main drivers of organizational productivity because of the extra-role activities they perform. Relational energy has been identified as an antecedent of employee engagement, but the variance in employee engagement explained is low. The current study included two organizational variables, employee voice and perception of organizational support as possible variables to enhance the effectiveness of relational energy in predicting employee engagement. Cross-sectional data involving 250 participants from Nigeria was used. Results established direct effects of relational energy, employee voice, and perception of organizational support; perception of organizational support interacted with relational energy to explain additional 5% variance in employee engagement; indicated that more variance was explained by the entire model.
Does Involved Fathering Produce a Larger Total Workload for Fathers Than for Mothers? Evidence from Norway

Objective To compare mothers' and fathers' total workloads within couples with different work-time arrangements in a social democratic welfare state (Norway) and explore possible changes in the 1990s and 2000s. Background Women's double workload in families with two full-time jobs has been well documented. However, some argue that fathers, too, may experience the double burden of market and domestic work as they become more involved in parenting. Method The data are from the Norwegian Time Use Surveys conducted in 1990, 2000, and 2010 among representative samples of the adult population. A subsample of coupled other-sex-parents with at least one child younger than age 20 years were used in the present study. Total workload is the sum of paid and unpaid work activities reported in a time diary. Standard multivariate ordinary least square regressions were used to explore gender differences. Results Full-time work for both parents entailed approximately equal total workloads for fathers and mothers. However, fathers' total workload exceeded mothers' in full-time and part-time couples with school-aged children. Conclusion Despite equal total workloads and reduced specialization, mothers still do less paid work and more family work than fathers in couples where both work full-time in Norway. This is partly related to the gender-segregated labor market. In full-time and part-time couples with school-aged children, fathers' longer working hours are not fully offset by more family work for mothers. Implications Work–family reconciliation policies promoting mothers' employment and fathers' family work may have the potential to reduce gender imbalances in parent's total workloads and moderate gendered specialization patterns.
A highly-integrated CMOS analog baseband transceiver with 180MSPS 13b pipelined CMOS ADC and dual 12b DACs

The 180MSPS, 13b CMOS pipelined ADC of a transceiver is implemented without a dedicated track-and-hold stage and utilizes a front-end 2.5b stage with matched MDAC/comparator tracking circuits. The ADC demonstrates ENOB of 10.6b at 15MHz and 9.7b at 100MHz. It employs a low-jitter delay-lock loop for its phasing. The dual I/Q 12b 180MSPS DACs show over 62dB SFDR over the Nyquist band by utilizing a dynamic linearity enhancing architecture.
A Spectrophotometric Search for Galaxy Clusters in SDSS

Recent large-scale galaxy spectroscopic surveys, such as the Sloan Digital Sky Survey (SDSS), enable us to execute a systematic, relatively unbiased search for galaxy clusters. Such surveys make it possible to measure the 3D distribution of galaxies but are hampered by the incompleteness problem due to fiber collisions. In this study we aim to develop a density-measuring technique that alleviates the problem and derives densities more accurately by adding additional cluster member galaxies that follow optical color-magnitude relations for the given redshift. The new density measured with both spectroscopic and photometric data shows a good agreement with apparent information on cluster images and is supported by follow-up observations. By adopting this new method, a total of 924 robust galaxy clusters are found from the SDSS DR5 database in the redshift range 0.05 < z < 0.1, of which 212 are new. Local maximum-density galaxies successfully represent cluster centers. We provide the cluster catalog including a number of cluster parameters.
Intelligent Tutoring for Interpersonal and Intercultural Skills

We describe some key issues involved in building an intelligent tutoring system for the ill-defined domain of interpersonal and intercultural skill acquisition. We discuss the consideration of mixed-result actions (actions with pros and cons), categories of actions (e.g., required steps vs. rules of thumb), the role of narrative, and reflective tutoring, among other topics. We present these ideas in the context of our work on an intelligent tutor for ELECT BiLAT, a game-based system to teach cultural awareness and negotiation skills for bilateral engagements. The tutor provides guidance in two forms: (1) as a coach that gives hints and feedback during an engagement with a virtual character, and (2) during an after-action review to help the learner reflect on their choices. Learner activities are mapped to learning objectives, which include whether the actions represent positive or negative evidence of learning. These underlie an expert model, student model, and models of coaching and reflective tutoring that support the learner. We describe several other cultural and interpersonal training systems that situate learners in goal-based social contexts that include interaction with virtual characters and automated guidance. Finally, our future work includes evaluations of learning, expansion of the coach and reflective tutoring strategies, and integration of deeper knowledge-based resources that capture more nuanced cultural aspects of interaction.
L’estime de soi explicite et implicite chez des femmes souffrant de troubles des conduites alimentaires

Cette etude vise l’approfondissement du lien entre l’estime de soi explicite et implicite, l’estime corporelle et les attitudes alimentaires en comparant 58 femmes atteintes de troubles des conduites alimentaires (TCA) a 54 femmes ayant un trouble anxieux et 96 femmes provenant d’un groupe controle. Les resultats montrent que le groupe TCA rapporte davantage d’attitudes alimentaires dysfonctionnelles et d’insatisfaction corporelle. Il presente l’estime de soi explicite et implicite les plus faibles. Chez les TCA, bien que l’estime de soi explicite s’avere le meilleur predicteur des construits a l’etude, l’estime de soi implicite ajoute une contribution independante signifiant l’importance de s’y attarder.
A Data mining Model for predicting the Coronary Heart Disease using Random Forest Classifier

Heart Disease (CHD) is a common form of disease affecting the heart and an important cause for premature death. From the point of view of medical sciences, data mining is involved in discovering various sorts of metabolic syndromes. Classification techniques in data mining play a significant role in prediction and data exploration. Classification technique such as Decision Trees has been used in predicting the accuracy and events related to CHD. In this paper, a Data mining model has been developed using Random Forest classifier to improve the prediction accuracy and to investigate various events related to CHD. This model can help the medical practitioners for predicting CHD with its various events and how it might be related with different segments of the population. The events investigated are Angina, Acute Myocardial Infarction (AMI), Percutaneous Coronary Intervention (PCI), and Coronary Artery Bypass Graft surgery (CABG). Experimental results have shown that classification using Random Forest Classification algorithm can be successfully used in predicting the events and risk factors related to CHD.
Affiliative Behaviour and Conflictual Communication during Brief Family Therapy of Patients with Anorexia Nervosa

Objective Although patients with anorexia nervosa (AN) present positive responses to family therapy, the key features of therapeutic changes still require identification. This study explores the role of conflictual communication and affiliative nonverbal behaviour in therapeutic change in brief strategic family therapy (BSFT) for AN patients. Methods Ten female AN patients and their parents were included in the sample and took part in a 6-month follow-up of BSFT. The durations of conflictual communication and of affiliative nonverbal behaviour estimated by eye contact were compared between the first and the last sessions of family-based treatment using nonparametric statistical tests. Results An increase of the Body Mass Index associated with an increase in the conflictual communication expressed during BSFT sessions were observed. Moreover, affiliative nonverbal behaviour expressed by the father and the patient decrease, after a BSFT follow-up, in conflictual situations only. By contrast, no significant difference was observed in affiliative nonverbal behaviour expressed by the mother. Conclusion The present study demonstrates that the impact of the BSFT differs between members of a family: the AN patient and the father have established a new form of emotional functioning with a decrease in emotional involvement. The study of the combination between verbal and nonverbal communication can represent an important step in the understanding of the mechanisms of therapeutic change.
Summary of high-availability DHCP service solutions

In today's network architecture, as a basic service to decide whether clients can link in network or not, Dynamic Host Configuration Protocol(DHCP) service plays a very important role. The redundancy of DHCP system must be improved in case of single points failure or serious natural disasters which may lead to the interruption of DHCP service. This paper introduces various approaches to realize DHCP system's redundancy, and their advantages and disadvantages. The development of DHCP FAILOVER protocol is also described in this article. This paper aims to introduce different vendors' solution, enabling the reader to select the appropriate solution according to a specific network deployment.