Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiuser MIMO in distributed antenna systems

Distributed antenna systems (DAS) add remote radio units with one or more antennas to enhance coverage and capacity in cellular systems. DAS works by connecting the remote radio units to the base station via a high bandwidth and low latency link. This paper analyzes multiuser multiple input multiple output (MIMO) DAS and compares it with multiuser MIMO communication without DAS in terms of per-user throughput and area spectral efficiency. Zero-forcing transmit beamforming is used at the transmitter. To facilitate rapid simulation and design space exploration, approximations of the ergodic rate are proposed for each technique assuming path-loss, small-scale Rayleigh fading, and out-of-cell interference. Treating all the remote radio units as a super MIMO transmitter gives the best performance even accounting for out-of-cell interference, though gains diminish for higher numbers of active users.
Factors influencing motivation and retention of people with Multiple Sclerosis in exercise activity: A qualitative study

People with Multiple Sclerosis (MS) experience barriers to exercise participation, resulting in low exercise engagement and high levels of dropouts. Consequently, the aim of this study was to examine the psychosocial factors that predict participation and retention in exercise activity and support programmes for people with MS. Fifteen participants diagnosed with MS (ages 42-73, twelve women and three men) were recruited for semi-structured interviews through the Multiple Sclerosis society of Western Australia (MSWA). Data was analysed using inductive thematic analysis as well as the frameworks of social cognitive theory, theory of planned behaviour, self-determination theory and job embeddedness theory. This study identified three themes, attitudes about purpose, improved wellbeing and an opportunity for connection and support that were found to influence motivations to exercise as well as enhancing participation in exercise activity. The combined forces of these factors together with individual characteristics influenced a person’s embeddedness or attachment to their exercise activity, and their decision of whether to stay or leave. These findings are valuable, as it will assist to inform future clinical interventions of factors implicated in retention and what they need to address in order to retain a high number of participants in exercise programmes.
Mentalizing Mediates the Association Between Childhood Maltreatment and Adolescent Borderline and Narcissistic Personality Traits

Background: Childhood maltreatment is theorized to undermine the development of mentalizing and to disrupt the development of healthy narcissism and the integration of personality at the level of affect and interpersonal regulation. Consistent with this, mentalizing can be expected to mediate the relationship between childhood maltreatment and vulnerable and grandiose narcissism as well as borderline personality traits, but this has not been examined in adolescents. Objective: The aim of this study was to examine associations between childhood maltreatment and adolescent personality disorder traits and test the mediating role of mentalizing in a sample of 263 adolescents and young adults aged 12 to 21. Methods: Participants recruited from school and a tertiary institution completed the Childhood Experiences of Care and Abuse Questionnaire (CECA-Q), the Borderline Personality Features Scale for Children (BPFS-C), the Pathological Narcissism Inventory (PNI) and the Reflective Function Questionnaire for Youth (RFQ-Y). Results: Adolescents with histories of sexual and physical abuse reported significantly more borderline personality features, as well as vulnerable and grandiose narcissism. They also reported signficantly more mentalizing difficulties including confusion regarding mental states and excessive certainty regarding mental states of others. Confusion regarding mental states partially mediated the relation between emotional abuse and borderline personality traits, as well as vulnerable and grandiose narcissism. Excessive certainty regarding the mental states of others mediated the relationship between childhood experiences of role reversal and grandiose narcissism. Conclusion: The findings are consistent with a mentalization model of adolescent personality difficulties and show that the relation between childhood maltreatment and personality disorder traits in adolescents may be in part understood in terms of the impact of such experiences on different dimensions of mentalizing.
The Emergency Landing Planner Experiment

In previous work, we described an Emergency Landing Planner (ELP) designed to assist pilots in choosing the best emergency landing site when damage or failures occur in an aircraft. In this paper, we briefly describe the system, but focus on the integration of this system into the cockpit of a 6 DOF full-motion simulator and a study designed to evaluate the ELP. We discuss the results of this study, the lessons learned, and some of the issues involved in advancing this work fur-
Appendix 1 I : Spawning Habitat Selection by Herring in Kamishak Bay , AK Statistical

Statistical Analysis A total of 488,653 km of shoreline in Kamishak Bay, AK was surveyed for Pacific herring (Clupea pallasi) spawning events from fixed-wing aircraft in years 1978 – 2001, with the exception of 1982 and 1997. Every survey followed the same route. Although multiple surveys occurred in each year, the survey frequency was largely a function of weather, perceived size of the spawning cohort, pilot availability and budget. The minimum and maximum number of repeated surveys within a year were 2 and 12, respectively. When split into ~50 m segments (described in Appendix I), this resulted in a total of 9,316 shoreline segments that were surveyed multiple times each year. All surveys within a year were conducted between April 20 th and June 4 th .
Automatic extraction of arterial centerline from whole-body computed tomography angiographic datasets

The aim of this study was to develop a new, fully-automated approach for the extraction of arterial centerlines from whole-body computed tomography angiographic (CTA) data sets for the planning of transcatheter aortic valve replacement (TAVR) procedures by the transfemoral approach. The method starts with an image pre-processing step to correct contrast inhomogeneities in different image slices, followed by the detection of anatomical landmarks and subsequent wave propagation, generating a cost matrix that represents the wave traveling time. Finally, the arterial centerlines are extracted from the aortic root to the femoral arteries using the conventional Dijkstra algorithm. 36 patients who underwent TAVR procedures with whole-body CTA scans were studied; 15 for training and the remaining 21 for testing. In 1 training case and 2 testing cases, user interaction was needed to correct the centerline (in the femoral artery). In the remaining 33 cases (91.7%), a fully-automated centerline was obtained with excellent results. In all cases, the average root mean square error was 2.55±0.70mm (training 2.26±0.48mm versus testing 2.77±0.77mm, p = 0.03) and the average mean error was 1.63±0.40mm (training 1.46±0.35mm versus testing 1.74±0.39mm, p = 0.02).
Cardiovascular Effects of Dietary Salt Intake in Aged Healthy Cats: A 2-Year Prospective Randomized, Blinded, and Controlled Study

High salt dry expanded diets are commercially available for cats to increase water intake and urine volume, as part of the prevention or treatment of naturally occurring urinary stone formation (calcium oxalates and struvites). However, chronic high salt intake may have potential cardiovascular adverse effects in both humans, especially in aging individuals, and several animal models. The objective of this prospective, randomized, blinded, and controlled study was to assess the long-term cardiovascular effects of high salt intake in healthy aged cats. Twenty healthy neutered cats (10.1±2.4 years) were randomly allocated into 2 matched groups. One group was fed a high salt diet (3.1 g/Mcal sodium, 5.5 g/Mcal chloride) and the other group a control diet of same composition except for salt content (1.0 g/Mcal sodium, 2.2 g/Mcal chloride). Clinical examination, systolic and diastolic arterial blood pressure measurements, standard transthoracic echocardiography and conventional Doppler examinations were repeatedly performed on non-sedated cats by trained observers before and over 24 months after diet implementation. Radial and longitudinal velocities of the left ventricular free wall and the interventricular septum were also assessed in systole and diastole using 2-dimensional color tissue Doppler imaging. Statistics were performed using a general linear model. No significant effect of dietary salt intake was observed on systolic and diastolic arterial blood pressure values. Out of the 33 tested imaging variables, the only one affected by dietary salt intake was the radial early on late diastolic velocity ratio assessed in the endocardium of the left ventricular free wall, statistically lower in the high salt diet group at 12 months only (P = 0.044). In conclusion, in this study involving healthy aged cats, chronic high dietary salt intake was not associated with an increased risk of systemic arterial hypertension and myocardial dysfunction, as observed in some elderly people, salt-sensitive patients and animal models.
PASSIVE NEAR-FIELD SOURCE LOCALIZATION BASED ON SPATIAL-TEMPORAL STRUCTURE

A new subspace method based on spatial-temporal structure is presented for estimation of directions-of-arrival (DOA's) and ranges of multiple near-field sources impinging on an array of sensors. The arrival angle and range parameters are directly given by the eigenvalues of a set of constructed matrices and the computational complexity of the proposed method is lower than those of several available methods which do not require search operation. Simulation results show that the proposed method outperforms an ESPRIT-like method.
Global measures of distributive mixing and their behavior in chaotic flows

Two measures of distributive mixing are examined: the standard deviation σ and the maximum error E, among average concentrations of finite-sized samples. Curves of E versus sample size L are easily interpreted in terms of the size and intensity of the worst flaw in the mixture. E(L) is sensitive to the size of this flaw, regardless of the overall size of the mixture. The measures are used to study distributive mixing for time-periodic flows in a rectangular cavity, using the mapping method. Globally chaotic flows display a well-defined asymptotic behavior: E and σ decrease exponentially with time, and the curves of E(L) and σ(L) achieve a self-similar shape. This behavior is independent of the initial configuration of the fluids. Flows with large islands do not show self-similarity, and the final mixing result is strongly dependent on the initial fluid configuration.
Improving group creativity: brainstorming versus non-brainstorming techniques in a GSS environment

Creativity is increasingly important in today's fast changing world. The use of group support systems has been shown to improve the quantity and quality of ideas produced by groups during idea generation. Similarly, creative techniques may be used to increase creativity. Therefore, the use of creative techniques together with a GSS may help groups think more creatively. Brainstorming is the most used and studied of the techniques. However, to further increase creativity, other types of creative techniques may be used. This paper presents a theory addressing structural aspects of both creative techniques and GSS, including testable hypotheses. A laboratory experiment is described that tests these hypotheses for three creative techniques (brainstorming, assumption reversals and analogies) implemented using a GSS. Results support the proposed theory. Analogies produced fewer but more creative ideas. Assumption reversals produced the most ideas, but these ideas were less creative than ideas produced by analogies and brainstorming.
Rotor speed estimation for indirect stator flux oriented induction motor drive based on MRAS scheme JES

In this paper, a conventional indirect stator flux oriented controlled (ISFOC) induction motor drive is presented. In order to eliminate the speed sensor, an adaptation algorithm for tuning the rotor speed is proposed. Based on the model reference adaptive system (MRAS) scheme, the rotor speed is tuned to obtain an exact ISFOC induction motor drive. The reference and adjustable models, developed in stationary stator reference frame, are used in the MRAS scheme to estimate induction rotor peed from measured terminal voltages and currents. The IP gains speed controller and PI gains current controller are calculated and tuned at each sampling time according to the new estimated rotor speed. The proposed algorithm has been tested by numerical simulation, showing the capability of driving active load; and stability is preserved. Experimental results obtained with a general-purpose 1-kW induction machine are presented showing the effectiveness of the proposed approach in terms of dynamic performance.
Demo: AntMonitor: Network Traffic Monitoring and Real-Time Prevention of Privacy Leaks in Mobile Devices

Mobile devices play an essential role in the Internet today, and there is an increasing interest in using them as a vantage point for network measurement from the edge. At the same time, these devices store personal, sensitive information, and there is a growing number of applications that leak it. We propose AntMonitor -- the first system of its kind that supports (i) collection of large-scale, semantic-rich network traffic in a way that respects users' privacy preferences and (ii) detection and prevention of leakage of private information in real time. The first property makes AntMonitor a powerful tool for network researchers who want to collect and analyze large-scale yet fine-grained mobile measurements. The second property can work as an incentive for using AntMonitor and contributing data for analysis. As a proof-of-concept, we have developed a prototype of AntMonitor, deployed it to monitor 9 users for 2 months, and collected and analyzed 20 GB of mobile data from 151 applications. Preliminary results show that fine-grained data collected from AntMonitor could enable application classification with higher accuracy than state-of-the-art approaches. In addition, we demonstrated that AntMonitor could help prevent several apps from leaking private information over unencrypted traffic, including phone numbers, emails, and device identifiers.
Neutrophil Extracellular Traps Directly Induce Epithelial and Endothelial Cell Death: A Predominant Role of Histones

Neutrophils play an important role in innate immunity by defending the host organism against invading microorganisms. Antimicrobial activity of neutrophils is mediated by release of antimicrobial peptides, phagocytosis as well as formation of neutrophil extracellular traps (NET). These structures are composed of DNA, histones and granular proteins such as neutrophil elastase and myeloperoxidase. This study focused on the influence of NET on the host cell functions, particularly on human alveolar epithelial cells as the major cells responsible for gas exchange in the lung. Upon direct interaction with epithelial and endothelial cells, NET induced cytotoxic effects in a dose-dependent manner, and digestion of DNA in NET did not change NET-mediated cytotoxicity. Pre-incubation of NET with antibodies against histones, with polysialic acid or with myeloperoxidase inhibitor but not with elastase inhibitor reduced NET-mediated cytotoxicity, suggesting that histones and myeloperoxidase are responsible for NET-mediated cytotoxicity. Although activated protein C (APC) did decrease the histone-induced cytotoxicity in a purified system, it did not change NET-induced cytotoxicity, indicating that histone-dependent cytotoxicity of NET is protected against APC degradation. Moreover, in LPS-induced acute lung injury mouse model, NET formation was documented in the lung tissue as well as in the bronchoalveolar lavage fluid. These data reveal the important role of protein components in NET, particularly histones, which may lead to host cell cytotoxicity and may be involved in lung tissue destruction.
Parallel Neural Network Training

Our neural network training approach produces networks that are superior to the limited accuracy of typical connectionist applications. The approach addresses function complexity, network capacity, and training algorithm aggressiveness. Symbolic computing tools are used to develop algebraic representations for the gradient and Hessian of the least-squares cost functions for feed-forward network topologies, with fully~ected and locally-connected layers. These representations are then transformed into block-structured form. They are then integrated with a full-Newton network training algorithm and executed on vector/parallel computers.
Walking control of fully actuated robots based on the Bipedal SLIP model

The goal of this paper is to generate and stabilize a periodic walking motion for a five degrees of freedom planar robot. First of all we will consider a biped version of the spring loaded inverted pendulum (SLIP), which shows openloop stable behavior. Then we will control the robot behavior as close as possible to the simple model. In this way we take advantage of the open-loop stability of the walking pattern related to the SLIP, and additional control actions are used to increase the robustness of the system and reject external disturbances. To this end an upper level controller will deal with the stabilization of the SLIP model, while a lower level controller will map the simple virtual model onto the real robot dynamics. Two different approaches are implemented for the lower level: in the first one, we aim at exactly reproducing the same acceleration that a SLIP would have when put in the same condition, while in the second one, we aim at a simpler control law without exactly reproducing the aforementioned acceleration. The latter case is equivalent to considering a SLIP with additional external disturbances, which have to be handled by the upper level controller. Both approaches can successfully reproduce a periodic walking pattern for the robot.
Polarimetry of Three Powerful Radio Galaxy Cores

We present sensitive, high dynamic range, Very Long Baseline Array (VLBA) polarimetric observations of the cores of three powerful radio galaxies: 3C166, 3C236 and 3C390.3. Significant polarization is detected in one source (3C166) allowing us to map out the Faraday Rotation Measure (RM) distribution and projected magnetic field direction. The inner jet of 3C166 is found to have a rest frame RM of −2300 rad m, similar to those found in quasars cores. No polarized flux was detected from the other two sources, but in both counterjets are seen. The counterjet in 3C236 was previously known, but the detection in 3C390.3 is a new discovery. We suggest that the low fractional polarization in radio galaxy cores is the result of Faraday depolarization by ionized gas associated with the accretion disk. The lower polarization of radio galaxy cores compared to quasars is then naturally explained by unified models as a result of the viewing angle. Subject headings: galaxies: active – galaxies: ISM – galaxies: jets – galaxies: nuclei – quasars: general – radio continuum: galaxies National Radio Astronomy Observatory, Socorro, NM 87801, USA Trinity University, San Antonio, TX 78212, USA Istituto di Radioastronomia, CNR, Bologna, Italy
Unmanned Ground Vehicle Non-Line-of-Sight Operations Using Relaying Radios

Tactical mobile robots used in military and law enforcement operations normally require a robust, long range, and non-line-of-sight communications link to the remote control station. High frequency digital communications, which overcome problems encountered by tethered links and analog radios, are subject to line-ofsight (LOS) limitations. This is often impossible to maintain in urban environments. The proposed solution is to develop a system that will allow the mobile robot to carry multiple relay radios that are automatically deployed when and where needed in order to maintain this communications link. This process is completely transparent to the operator and is entirely handled by the ad-hoc network formed by the relay radios. In this paper, we present a radio relay deployment system that is plugand-playable, and can be attached to many unmanned vehicles requiring long-range and non-LOS operational capability.
Building a Social Newsroom: Visual Analytics for Social Business Intelligence

Insufficient data visualization in current social media tools is hampering opportunities to make effective meaning and take decisive action from social data. This paper presents the technical architecture of a prototype tool for Social Business Intelligence (SBI) under development. Adopting an Action Design Research approach, the goal of the 'Social Newsroom' is to provide practitioners with user interfaces for leveraging such affordances. The construction of specific interfaces is detailed including monitoring dashboards and insights pillars for visual analytics.
Utile Coordination: Learning Interdependencies Among Cooperative Agents

-Wedescribe Utile Coordination, an algorithm that allows a multiagent system to learn where and how to co-ordinate. The method starts with uncoordinated learners and maintains statistics on expected returns. Coordination dependencies are dynamically added if the statistics indicate a statistically signiﬁcant beneﬁt. This re-sults in a compact state representation because only necessary coordination is modeled. We apply our method within the framework of coordination graphs in which value rules represent the coordination dependencies be-tween the agents for a speciﬁc context. The algorithm is ﬁrst applied on a small illustrative problem, and next on a large predator-prey problem in which two predators have to capture a single prey.