Miracle-dz/UniFAR-FTUs huggingface dataset:
Emotion Evaluation of Four Generations of Woman from a 104-Year Old Ancestress

Normal aging is associated with declines of perception and cognition. Inversely, emotions seem to be preserved compared to younger adults. Viewing, neutral, dramatic and comic films, emotions were evaluated in four generations of woman from a 104-year old ancestress. At the very old age, from this case report, emotions were differently expressed while arousal was still preserved. A constant emotion of scare was expressed during the viewing of these three films (p < 0.001) with significant higher level of disgust (p ≤ 0.01). Only perceptual deficiency cannot explain this difference as cognitive tasks revealed a mild cognitive impairment detected by the Mini Mental State Examination and a substantial impairment on the executive functions by using the Delayed response tasks. These results emphasize that some emotions in a normal aging centenarian are still present, even if not appropriates, and different in comparison to a young adult control group. From this study, it is expected that emotion analysis in old adults viewing selected short films will predict longevity and could discriminate normal processes occurring during normal aging from neurodegenerative diseases.
Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability

Appropriately combining mental practice (MP) and physical practice (PP) in a poststroke rehabilitation is critical for ensuring a substantially positive rehabilitation outcome. Here, we present a rehabilitation protocol incorporating a separate active PP stage followed by MP stage, using a hand exoskeleton and brain-computer interface (BCI). The PP stage was mediated by a force sensor feedback-based assist-as-needed control strategy, whereas the MP stage provided BCI-based multimodal neurofeedback combining anthropomorphic visual feedback and proprioceptive feedback of the impaired hand extension attempt. A six week long clinical trial was conducted on four hemiparetic stroke patients (screened out of 16) with a left-hand disability. The primary outcome, motor functional recovery, was measured in terms of changes in grip-strength (GS) and action research arm test (ARAT) scores; whereas the secondary outcome, usability of the system was measured in terms of changes in mood, fatigue, and motivation on a visual-analog-scale. A positive rehabilitative outcome was found as the group mean changes from the baseline in the GS and ARAT were +6.38 kg and +5.66 accordingly. The VAS scale measurements also showed betterment in mood ( $-$1.38), increased motivation (+2.10) and reduced fatigue ($-$0.98) as compared to the baseline. Thus, the proposed neurorehabilitation protocol is found to be promising both in terms of clinical effectiveness and usability.
Fog-Assisted Translation: Towards Efficient Software Emulation on Heterogeneous IoT Devices

With predictions that in the near future tens of billions of devices will be added to the Internet of Things (IoT), new challenges arise, including the development and deployment of software for a wide variety of devices, architectures, instruction set architectures, and computational resources. Despite the fact that emulation techniques have been successful in the creation of virtual layers to ease software deployment in heterogeneous settings, the power consumption and memory code footprint restrictions of the IoT lead to new issues which still need to be further explored within the scope of software emulation. Therefore, we investigate how a distributed implementation of dynamic translation can be used to increase emulation performance in this context. To evidence this, we present a novel distributed dynamic translator simulator that can simulate environments with several devices running RISCV applications and offloading code compilation through the network. Using this simulator, we tested a scenario with 400 constrained IoT devices running lean virtual machines that are capable of offloading dynamic translation to four fog devices, which in turn have the option of distributing their workload to other fog devices or the cloud.The results show that we can improve the performance of constrained devices by 10 times with the use of fog-assisted translation, while at the same time guaranteeing no extra overhead in the emulation process of the fog devices themselves. These findings suggest that, in general, distributed dynamic translation can leverage fog computing to improve emulation in the IoT, even when it comes to devices with limited resources.
$E$ -Band Low-Profile, Wideband 45° Linearly Polarized Slot-Loaded Patch and Its Array for Millimeter-Wave Communications

A series of E-band low-profile wideband antenna arrays with 45° and ±45° dual linear polarizations is presented for high-speed millimeter-wave communication applications. The array element consists of a corner-fed patch with a tilted slot cut at its edge, which suppresses unwanted modes in order to generate the desired 45° linear polarization. Comparing to a traditional 45° tilted patch, the proposed element gets rid of the bending feedline and realizes a higher isolation level between adjacent patches in the side-by-side arrangement. For proof-of-concept demonstration, a <inline-formula> <tex-math notation="LaTeX">$2 \times 8$ </tex-math></inline-formula> array with 45° linear polarization was fabricated and measured, exhibiting a good agreement between simulation and measured results. The proposed array prototype possesses a −10 dB impedance bandwidth of 10.6% (74.3–82.5 GHz). Moreover, a dual <inline-formula> <tex-math notation="LaTeX">$1 \times 8$ </tex-math></inline-formula> array with ±45° dual polarization is also presented, showing a bandwidth of 9.7% (74.4–81.9 GHz) and a high isolation level of greater than 25 dB. The proposed E-band planar arrays own the advantages of low profile, i.e., <inline-formula> <tex-math notation="LaTeX">$\sim 0.067\lambda _{0}$ </tex-math></inline-formula>, single layer, low fabrication cost, simple structure, wide operational bandwidth, i.e., ~10%, and polarization flexibility. They represent promising candidates for high-speed E-band communications.
Influence of Two Preparation Techniques on Transportation of Simulated Type II Root Canals

Introduction: The purpose of this study was to evaluate the changes of canal configuration in simulated type II root canals that were instrumented by two different techniques using ProTaper Universal rotary files. Methods and Materials: Sixty simulated type II root canal in resin blocks were made and randomly divided into two groups. Pre and post-instrumentation images of resin blocks were prepared using stereomicroscope from three surfaces of blocks included two longitudinal section (mesiodistally and buccolingually), and one cross sectional surface. In the first group (G1) the straight canal was instrumented to the working length and the other canal was instrumented up to the area of canals junction. In second group (G2) both canals were instrumented to working length. The superimposed pre and post instrumentation images were assessed by the Adobe Photoshop software. The degree of transportation, centering ability, perimeter, surface and aspetic ratio (AR) in cross section and longitudinal section at apex, 3 mm and 5 mm above the apex, were measured. SPSS software, t-test and Mann-Whitney test were used for statistics analysis. Result: In mesiodistal direction, canal transportation was more (P=0.024) only in junction point in G2 which both canals were instrumented to working length. Also, surface changes were more significant (P=0.02) in G2 in cross sectional direction. The other parameter and also apical transportation had not significant difference in two groups. Conclusion: According to the results of this study, it can be concluded that both two preparation methods of type II canals can be used by rotary instruments.
Impedance Matching and Reradiation in LPTV Receiver Front-Ends: An Analysis Using Conversion Matrices

Linear periodically time-varying (LPTV) circuits are finding increased prominence in reconfigurable transceiver applications. Impedance matching of such circuits to the antenna impedance is essential for fully on-chip receiver topologies. However, deriving the <inline-formula> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula> of an LPTV circuit is non-trivial in general. Moreover, reflections at harmonic offsets from input frequencies can also be expected due to the time-varying nature of the circuit. This paper utilizes the conversion matrix-based analysis technique to compute the <inline-formula> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula> of a general LPTV circuit. Furthermore, it is shown that signal reradiation at harmonic shifts from input frequencies is also obtained as a natural consequence of this analysis. Examples related to mixer-first receivers, switched-capacitor receiver front-ends (with reset), and Filtering-by-Aliasing (FA)-based receivers are considered to verify the analysis. Design guidelines are provided to attain optimal <inline-formula> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula> in a few such scenarios. Explicit analytical expressions are derived for reradiation in ideal <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula>-path mixer-first receivers and FA-based receivers, while guidelines are provided for proper choice of conversion matrix expressions/sizes in case of numerical computation.
3D Action Recognition Using Multiscale Energy-Based Global Ternary Image

This paper presents an effective multiscale energy-based global ternary image (E-GTI) representation for action recognition from depth sequences. The unique property of our representation is that it takes the spatiotemporal discrimination and action speed variations into account, intending to solve the problems of distinguishing similar actions and identifying the actions with different speeds in one goal. The entire method is carried out in two stages. In the first stage, consecutive depth frames are used to generate global ternary image (GTI) features, which implicitly capture both inter-frame motion regions and motion directions. Specifically, each pixel in the GTI represents one of three possible states, namely, positive, negative, and neutral, which indicate the increased, decreased, and same depth values, respectively. To cope with speed variations in actions, energy-based sampling method is utilized, leading to multiscale E-GTI features, where the multiscale scheme can efficiently capture the temporal relationships among frames. In the second stage, all the E-GTI features are transformed by Radon transform (RT) as robust descriptors, which are aggregated by the bag-of-visual-words model as a compact representation. Extensive experiments on benchmark data sets show that our representation outperforms state-of-the-art approaches, since it captures discriminating spatiotemporal information of actions. Due to the merits of energy-based sampling and RT methods, our representation shows robustness to speed variations, depth noise, and partial occlusions.
Using Crash Frequency Analysis to Identify Error-Prone Software Technologies in Multi-System Monitoring

Faults are common in large software systems and must be analyzed to prevent future failures such as system outages. Due to their sheer amount, the observed failures cannot be inspected individually but must be automatically grouped and prioritized. An open challenge is to find similarities in failures across different systems. We propose a novel approach for identifying error-prone software technologies via a cross-system analysis based on monitoring and crash data. Our approach ranks the error-prone software technologies and analyzes the occurred exceptions, thus making it easier for developers to investigate cross-system failures. Finding such failures is highly advantageous as fixing a fault may benefit many affected systems. A preliminary case study on monitoring data of hundreds of different systems demonstrates the feasibility of our approach.
Pneumococcal vaccine impacts on the population genomics of non-typeable Haemophilus influenzae

Between 2008/09 and 2012/13 the molecular epidemiology of non-typeable Haemophilus influenzae (NTHi) carriage in children <5 years of age was determined; a period that included pneumococcal conjugate vaccine (PCV) 13 introduction. Significantly increased carriage in post-PCV13 years was observed and lineage-specific associations with S. pneumoniae were observed before and after PCV13 introduction. NTHi were characterised into eleven discrete, temporally stable lineages, congruent with current knowledge regarding the clonality of NTHi. This increase could not be linked to the expansion of a particular clone and demonstrates different dynamics to before PCV13 implementation during which time NTHi co-carried with vaccine serotype pneumococci.
Architectural Support for Unlimited Memory Versioning and Renaming

Data versioning and renaming is a technique to enforce true dependencies and eliminate false dependencies in concurrent out-of-order execution. By extending the addressing to memory to support both a location and a version number, the memory system can match loads with the appropriate stores. With multiple versions of data for a single memory location, Write-after-Read and Write-after-Write dependencies are avoided. In this paper, we present architectural support for O-structures, which provide memory versioning and renaming. We describe a microarchitectural implementation of an O-structure in the cache hierarchy of a multicore processor and demonstrate the need of each feature provided by O-structures. Our evaluation shows that O-structures can be effective in supporting a range of parallel workloads, including irregular, pointer-heavy code.
SELECT: A Distributed Publish/Subscribe Notification System for Online Social Networks

Publish/subscribe (pub/sub) mechanisms constitute an attractive communication paradigm in the design of large-scale notification systems for Online Social Networks (OSNs). To accommodate the large-scale workloads of notifications produced by OSNs, pub/sub mechanisms require thousands of servers distributed on different data centers all over the world, incurring large overheads. To eliminate the pub/sub resources used, we propose SELECT - a distributed pub/sub social notification system over peer-to-peer (P2P) networks. SELECT organizes the peers on a ring topology and provides an adaptive P2P connection establishment algorithm where each peer identifies the number of connections required, based on the social structure and user availability. This allows to propagate messages to the social friends of the users using a reduced number of hops. The presented algorithm is an efficient heuristic to an NP-hard problem which maps workload graphs to structured P2P overlays inducing overall, close to theoretical, minimal number of messages. Experiments show that SELECT reduces the number of relay nodes up to 89% versus the state-of-the-art pub/sub notification systems. Additionally, we demonstrate the advantage of SELECT against socially-aware P2P overlay networks and show that the communication between two socially connected peers is reduced on average by at least 64% hops, while achieving 100% communication availability even under high churn.
An FPGA-Based Acceleration Methodology and Performance Model for Iterative Stencils

Iterative stencils represent the core computational kernel of many applications belonging to different domains, from scientific computing to finance. Given the complex dependencies and the low computation to memory access ratio, this kernels represent a challenging acceleration target on every architecture. This is especially true for FPGAs, whose direct hardware execution offers the possibility for high performance and power efficiency, but where the non-fixed architecture can lead to very large solutions spaces to be explored. In this work, we build upon an FPGA-based acceleration methodology for iterative stencil algorithms previously presented, where we provide a dataflow architectural template that implements optimal on-chip buffering and is able to increase almost linearly in performance using a scaling technique denoted as iterations queuing. In particular, we propose a set of design improvements and we elaborate an accurate analytical performance model that can be used to support the exploration of the design space. Experimental results obtained implementing a set of benchmarks from different application domains on a Xilinx VC707 board show an average performance and power efficiency increase over the previous work of respectively 22.8x and 9.9x, and a prediction error that is on average 0.5%.
Constructive, illusory, and distressed posttraumatic growth among survivors of breast cancer: A 7-year growth trajectory study

A total of 84 breast cancer survivors completed a package of psychological inventories in 2009 (Time 1), 2012 (Time 2), and 2016 (Time 3). Latent class growth analysis revealed three posttraumatic growth trajectory patterns: distressed posttraumatic growth (n = 5, 6.7%), illusory posttraumatic growth (n = 42, 56.0%), and constructive posttraumatic growth (n = 28, 37.3%). Women with more frequent use of helplessness–hopelessness coping and lower depression levels at Time 1 were more likely to display an illusory than a constructive posttraumatic growth trajectory pattern. Illusory posttraumatic growth might represent a form of coping rather than authentic positive changes. Researchers and clinicians should understand different patterns of posttraumatic growth.
Generalized Spectral Mixture Kernels for Multi-Task Gaussian Processes

Multi-Task Gaussian processes (MTGPs) have shown a significant progress both in expressiveness and interpretation of the relatedness between different tasks: from linear combinations of independent single-output Gaussian processes (GPs), through the direct modeling of the cross-covariances such as spectral mixture kernels with phase shift, to the design of multivariate covariance functions based on spectral mixture kernels which model delays among tasks in addition to phase differences, and which provide a parametric interpretation of the relatedness across tasks. In this paper we further extend expressiveness and interpretability of MTGPs models and introduce a new family of kernels capable to model nonlinear correlations between tasks as well as dependencies between spectral mixtures, including time and phase delay. Specifically, we use generalized convolution spectral mixture kernels for modeling dependencies at spectral mixture level, and coupling coregionalization for discovering task level correlations. The proposed kernels for MTGP are validated on artificial data and compared with existing MTGPs methods on three real-world experiments. Results indicate the benefits of our more expressive representation with respect to performance and interpretability.
Men Who Sexually Assault Drinking Women: Similarities and Differences With Men Who Sexually Assault Sober Women and Nonperpetrators

Little is known about the attributes of men who sexually assault drinking women as compared with men who sexually assault sober women and nonperpetrators. Findings from a cross-sectional survey of 548 men and a laboratory computer-simulated date completed by a subset (n = 87) support the hypothesis that both groups of perpetrators would share some common risk factors and differ regarding alcohol beliefs and consumption. Men who had previously assaulted a drinking woman gave their simulated date more alcohol to drink and perceived her as being more disinhibited. These findings demonstrate the power of alcohol expectancies and stereotypes about drinking women.
Use of Cloud-Based Computer Aided Design Software in Design Education

Besides of conventional CAD systems, new, cloudbased CAD systems have also been available for some years. These CAD systems designed according to the principle of software as a service (SaaS) differ in some important features from the conventional CAD systems. Thus, these CAD systems are operated via a browser and it is not necessary to install the software on a computer. The CAD-data is stored in the cloud and not on a local computer or central server. This new approach should also facilitate the sharing and management of data. Finally, many of these new CAD systems are available as freeware for education purposes, so the universities can save license costs. The chances and risks of cloud-based systems will first be analyzed in this paper. Then two leading cloud-based CAD systems will be researched. During the process, the technical performance range these new systems offer for the product development will be initially checked and reviewed. For this purpose, various criteria are worked out and the CAD software is evaluated using these criteria. In addition, the criteria are weighted by their importance for design education. This allows one to conclude which capabilities the different CAD system offers for use in education.
Mitotic progression, arrest, exit or death relies on centromere structural integrity, rather than de novo transcription

Recent studies have challenged the prevailing dogma that transcription is repressed during mitosis. Transcription was also proposed to sustain a robust spindle assembly checkpoint (SAC) response. Here, we used live-cell imaging of human cells, RNA-seq and qPCR to investigate the requirement for de novo transcription during mitosis. Under conditions of persistently unattached kinetochores, transcription inhibition with actinomycin D, or treatment with other DNA-intercalating drugs, delocalized the chromosomal passenger complex (CPC) protein Aurora B from centromeres, compromising SAC signaling and cell fate. However, we were unable to detect significant changes in mitotic transcript levels. Moreover, inhibition of transcription independently of DNA intercalation had no effect on Aurora B centromeric localization, SAC response, mitotic progression, exit or death. Mechanistically, we show that DNA intercalating agents reduce the interaction of the CPC with nucleosomes. Thus, mitotic progression, arrest, exit or death is determined by centromere structural integrity, rather than de novo transcription.