Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligent reflecting surface empowered WPCN system over generalized κ−μ$$ \kappa -\mu $$ fading channels: Performance analysis and optimization

Intelligent reflecting surfaces (IRS), which dynamically modify the incident electromagnetic wave propagation characteristics, are appealing as a potential candidate to improve the spectral and energy efficiency of future wireless communication networks. In this paper, we investigate the performance of an IRS‐enabled wireless powered communication network (WPCN), which consists of a dedicated power source (PS), an energy‐constrained wireless device (WD), and a data access point (DAP). Due to energy limitations, WD first performs energy harvesting (EH) operation through the radio‐frequency (RF) signal supplied by the PS and then uses this energy to transmit its information to DAP. In this system setup, an IRS module is employed at both PS and DAP, respectively, in order to enhance the wireless energy transfer and wireless information transfer efficiency. For the underlying system model, we develop a unified performance evaluation framework with regard to outage probability, average throughput, effective throughput, and average, by assuming a generalized κ−μ$$ \kappa -\mu $$ fading channels. In addition, we also present an asymptotic analysis, under a high signal‐to‐noise ratio assumption, which helps us to understand the system behavior deeply. Furthermore, an optimal EH time duration is developed for the proposed model to achieve maximum system throughput. The numerical simulation results demonstrate that the IRS‐enabled wireless transmission mechanisms for the WPCN system help to boost the overall performance significantly compared to conventional WPCN networks. All the derived numerical results are verified with Monte‐Carlo simulation results.
Secure Bluetooth Communication in Smart Healthcare Systems: A Novel Community Dataset and Intrusion Detection System

Smart health presents an ever-expanding attack surface due to the continuous adoption of a broad variety of Internet of Medical Things (IoMT) devices and applications. IoMT is a common approach to smart city solutions that deliver long-term benefits to critical infrastructures, such as smart healthcare. Many of the IoMT devices in smart cities use Bluetooth technology for short-range communication due to its flexibility, low resource consumption, and flexibility. As smart healthcare applications rely on distributed control optimization, artificial intelligence (AI) and deep learning (DL) offer effective approaches to mitigate cyber-attacks. This paper presents a decentralized, predictive, DL-based process to autonomously detect and block malicious traffic and provide an end-to-end defense against network attacks in IoMT devices. Furthermore, we provide the BlueTack dataset for Bluetooth-based attacks against IoMT networks. To the best of our knowledge, this is the first intrusion detection dataset for Bluetooth classic and Bluetooth low energy (BLE). Using the BlueTack dataset, we devised a multi-layer intrusion detection method that uses deep-learning techniques. We propose a decentralized architecture for deploying this intrusion detection system on the edge nodes of a smart healthcare system that may be deployed in a smart city. The presented multi-layer intrusion detection models achieve performances in the range of 97–99.5% based on the F1 scores.
Tropical‐wave activity and Madden–Julian oscillation termination

The Madden–Julian oscillation (MJO) is the dominant mode of intraseasonal variability in the tropics and generates large‐scale precipitation, cloud, and circulation anomalies. Interactions between the MJO and dry and convectively coupled equatorial waves (CCEWs) have been identified in previous works; however, these studies have not focused on MJO events that maintain themselves versus those that decay. Knowledge on how pre‐existing MJO events interact with CCEWs is important for producing more realistic and reliable representations of MJO events in weather forecast and global climate models. This study presents an analysis of intraseasonally varying outgoing longwave radiation (OLR) and zonal wind anomalies at 200 and 850 hPa from National Oceanic and Atmospheric Administration (NOAA) observations and ERA‐Interim reanalysis data respectively, throughout the lifetime of observed MJO events. A climatology of continuing and terminating MJO events is created from an event identification algorithm using common tracking indices including the OLR‐based MJO Index (OMI), filtered OMI (FMO), real‐time multivariate MJO (RMM), and velocity potential MJO (VPM) index. Wheeler–Kiladis power spectra are calculated for each event type to identify predominant wave modes. Symmetric and anti‐symmetric wave spectra are composited and results include the sensitivity of the variables used to define the waves and index choice for identifying the MJO. Our results show fractional differences between continuing and terminating MJO events that are statistically significant at the 95% level. Statistical significance is most prominent within the MJO band where continuing events have higher power, as well as global mixed Rossby–gravity (MRG) waves and tropical depression (TD) waves where terminating events have higher power. These results are mostly robust to meteorological variable and index although the importance of Kelvin waves is amplified in the VPM. A regional analysis including phase separation contains results that are sensitive to variable and domain although westward traveling waves are commonly associated with MJO termination regardless of location.
Bone Health after Bariatric Surgery: Consequences, Prevention, and Treatment

One of the most critical complications of bariatric surgery (BS), which has been widely discussed recently, is its adverse effects on the health of the bones and skeletal system. Studies show that bone mineral density (BMD) decreases significantly in the early years after BS Nutritional deficiencies are a common complication of BS that can last for months to years after surgery. For example, calcium absorption will significantly reduce after BS The role of gut hormones, endocrine factors, and adipokines in altering bone metabolism should never be overlooked. The available information and guidelines emphasize the periodic evaluation of BMD in patients undergoing BS The method of measuring BMD after BS is essential. DXA and quantitative computed tomography (QCT) are two convenient methods for measuring BMD. Many studies indicate a more detailed study of microarchitecture and cortical and trabecular bone mass with the help of QCT. The overall risk of fractures increases years after BS There are some recommendations for overcoming the adverse effects of BS on bone health. Endurance and resistance exercise after BS can help to mitigate BMD reduction and bone changes. In this review, we will explain each of these points in detail.
LETTER TO THE EDITOR: Longitudinal electron momentum distributions in single ionization of helium by light projectiles

Longitudinal electron momentum distributions in single ionization of helium by proton and antiproton impact are calculated using the CDW - EIS model. The distributions are studied at intermediate and high energies. The present results are in good qualitative agreement with CTMC simulations at 100 keV impact energy. Large differences appear in comparison to the predictions from the saddle-point emission theory.
Hard scattering factorization from effective field theory

In this paper we show how gauge symmetries in an effective theory can be used to simplify proofs of factorization formulas in highly energetic hadronic processes. We use the soft-collinear effective theory, generalized to deal with back-to-back jets of collinear particles. Our proofs do not depend on the choice of a particular gauge, and the formalism is applicable to both exclusive and inclusive factorization. As examples we treat the $\ensuremath{\pi}\ensuremath{-}\ensuremath{\gamma}$ form factor $(\ensuremath{\gamma}{\ensuremath{\gamma}}^{*}\ensuremath{\rightarrow}{\ensuremath{\pi}}^{0}),$ light meson form factors $({\ensuremath{\gamma}}^{*}\stackrel{\ensuremath{\rightarrow}}{M}M),$ as well as deep inelastic scattering ${(e}^{\ensuremath{-}}\stackrel{\ensuremath{\rightarrow}}{p}{e}^{\ensuremath{-}}X),$ the Drell-Yan process $(p\overline{p}\ensuremath{\rightarrow}{\mathrm{Xl}}^{+}{l}^{\ensuremath{-}}),$ and deeply virtual Compton scattering $({\ensuremath{\gamma}}^{*}\stackrel{\ensuremath{\rightarrow}}{p}{\ensuremath{\gamma}}^{(*)}p). $
Using Targeting to Optimize Program Design: Evidence from an Energy Conservation Experiment

We investigate the potential for targeted treatment assignment rules to improve the performance of a large-scale behavioral intervention to encourage households to conserve energy. We derive treatment rules based on observable household characteristics that maximize the expected benefits of the intervention. Targeting treatment using transparent and easily implemented rules could yield significant gains; the energy savings from optimal treatment assignments are predicted to be double those achieved by the intervention as implemented. Predicted cost savings from targeting are even larger. Our results underscore the potential for targeted treatment assignment to generate significant benefits in many domains.
Overcoming barriers to informed consent in neurological research: Perspectives from a national survey

The ethical recruitment of participants with neurological disorders in clinical research requires obtaining initial and ongoing informed consent. The purpose of this study is to characterize barriers faced by research personnel in obtaining informed consent from research participants with neurological disorders and to identify strategies applied by researchers to overcome those barriers. This study was designed as a web-based survey of US researchers with an optional follow-up interview. A subset of participants who completed the survey were selected using a stratified purposeful sampling strategy and invited to participate in an in-depth qualitative interview by phone or video conference. Data were analyzed using a mixed methods approach, including content analysis of survey responses and thematic analysis of interview responses. Over 1 year, 113 survey responses were received from US research personnel directly involved in obtaining informed consent from participants in neurological research. Frequently identified barriers to informed consent included: cognitive and communication impairments (e.g. aphasia), unrealistic expectations of research participants, mistrust of medical research, time constraints, literacy barriers, lack of available social support, and practical or resource-related constraints. Strategies to enhance informed consent included: involving close others to support participant understanding of study-related information, collaborating with more experienced research personnel to facilitate training in obtaining informed consent, encouraging participants to review consent forms in advance of consent discussions, and using printed materials and visual references. Beyond conveying study-related information, researchers included in this study endorsed ethical responsibilities to support deliberation necessary to informed consent in the context of misconceptions about research, unrealistic expectations, limited understanding, mistrust, and/or pressure from close others. Findings highlight the importance of training researchers involved in obtaining informed consent in neurological research to address disease-specific challenges and to support the decision-making processes of potential research participants and their close others.
The combined effect of foreign direct investment on firm productivity

This paper attempts to answer the economic implications of combining inward foreign direct investment (IFDI) and outward foreign direct investment (OFDI) by constructing a panel fixed effects model using Chinese industrial firm-level data for the period 1998 – 2013. Specifically, we focus on the impact of combining IFDI and OFDI on firm productivity in China. We also introduce interactive terms into the model to explore the direct and indirect mechanisms through which IFDI and OFDI affect productivity growth. The results show that IFDI and OFDI work together to contribute to productivity growth by acting directly on the level of technology, thereby increasing productivity. IFDI intensifies market concentration, which in turn positively moderates the relationship between OFDI and productivity. Furthermore, IFDI moderates the financing constraints of firms, but has a weaker effect; the easing of financing constraints facilitates the positive impact of OFDI on productivity. Absorptive capacity favours IFDI spillover, but OFDI inhibits absorptive capacity improvements. Our in-depth analysis of the mechanism of the combined impact of IFDI and OFDI on productivity reveals the objectives of using this combination, thereby providing theoretical support and policy recommendations for the implementation of this strategy.
A Simplified Electroencephalography Montage and Interpretation for Evaluation of Comatose Patients in the ICU

OBJECTIVES: Electroencephalography (EEG) is one of the main tools for diagnosis and prognostication of encephalopathy. Our two objectives were to assess: 1) the reliability of intensivists’ interpretations (one trained intensivist and nonexpert intensivists) on specific EEG patterns and 2) the feasibility of performing simplified EEG by a trained intensivist in ICU. DESIGN: Prospective, single-center study. SETTING: One French tertiary-care center. PATIENTS: Thirty-six consecutive ICU patients with encephalopathy. INTERVENTION: A trained intensivist (1-year specific electrophysiologic course) recorded and interpreted EEGs using a 10 monopod montage at bedside. Then, 22 nonexpert intensivists underwent a 1-hour educational session on interpretation of EEG background (activity, continuity, and reactivity) and common patterns seen in ICU. Trained and nonexpert intensivists’ interpretation of EEG recordings was evaluated and compared with an expert neurophysiologist’s interpretation (gold standard). The agreement between the two interpretations was evaluated. Second, the duration of the entire EEG procedure (specifically EEG installation) at bedside was recorded. MEASUREMENTS AND MAIN RESULTS: Agreements and reliability between the trained intensivist and the neurophysiologist were acceptable for minimal (agreement, 94%; Pearson coefficient, 0.60) and maximal (89%, 0.89) background frequency, burst suppression (agreement, 100%; Kappa coefficient, 1), background continuity (83%, 0.59), and reactivity to auditory stimulus (78%, 0.44). Agreements between the 22 nonexpert intensivists and the neurophysiologist were heterogeneous. As a result, 87% of the 22 nonexpert intensivists obtained an acceptable reliability for the minimum background frequency, 95% for the maximum background frequency, and 73% and 95% for burst suppression and isoelectric background identification, respectively. The median duration of the entire EEG procedure was 47 minutes (43–53 min), including 22 minutes (20–28 min) of EEG installation. CONCLUSIONS: Intensivists can rapidly learn background activity and identify burst-suppression and isoelectric background. However, more educational sessions are required for interpretation of other EEG patterns frequently observed in the ICU setting.
3-d convolutional perfectly matched layer models for dynamic soil-structure interaction analysis in the finite element time-domain

The perfectly matched layer (PML) has been employed as a very efficient absorbing boundary condition for solving elastodynamic problems in bounded domains by using the finite difference method. However, in the finite element time domain (FETD), the application of PML formulations usually involves a mixed scheme with velocity/displacement and stresses as unknowns to avoid temporal convolution operations, which could lead to an increase in computational costs especially when three-dimensional (3-D) simulations are used. This paper presents the preliminary research on 3-D convolutional PML models for dynamic soil-structure interaction (SSI) analysis in FETD with displacements as the only unknowns. The variational formulation is derived for the use of finite element method (FEM) to discretize the problem domain, which avoids tricky coordinate transformation and requires minor modification of existing displacement-based finite element software. The stability and efficiency of the proposed formulation are first demonstrated by relevant 3-D benchmark examples even with small bounded domains. Numerical results are also presented for the classical SSI problem of a building with rigid footing on layers on a half-space.
Natural phantom dark energy, wiggling Hubble parameter H(z) and direct H(z) data

Recent direct H(z) data indicate that the parameter H(z) may wiggle with respect to z. On the other hand, the luminosity distance data of supernovae flatten the wiggles of H(z) because of the integration effect. It is expected that the fitting results can be different in a model permitting a wiggling H(z) because the data of supernovae are degenerate in such a model. As an example the natural phantom dark energy is investigated in this paper. The dynamical property of this model is studied. The model is fitted by the direct H(z) dataset and the SNLS dataset, respectively. The results are rather different, as expected. The quantum stability of this model is also briefly discussed. We find that it is a viable model if we treat it as an effective theory truncated by an upper bound.
Visual fatigue induced by optical misalignment in binocular devices: application to night vision binocular devices

The additional and perhaps unnatural eye-movements required to fuse misaligned binocular images can lead to visual fatigue and decreased task performance. The eyes have some tolerance to optical misalignment. However, a survey of the scientific literature reveals a wide range of recommended tolerances but offers little supporting experimental evidence. Most experimental studies are based on small numbers of participants exposed to brief periods of optical misalignment. Therefore, these published tolerance limits might have limited relevance for long-duration exposure to misaligned binocular devices. Prolonged use of binocular devices may cause visual fatigue irrespective of binocular alignment especially for complex tasks such as night vision flying. This study attempts to identify measures most sensitive to misalignment in order to establish relevant tolerance limits for in-service binocular night vision devices. Firstly, we developed a rugged and deployable test bench that can measure binocular alignment with a reproducibility error of less than 1 arcmin. The bench was used to identify and investigate major factors affecting the stability of the optical misalignment over time. Our results indicated that the optical misalignment of a given device changed over time as a function of the in-service usage and thermal history of the device. Secondly, participants were exposed to experimentally controlled levels of optical misalignment typical of those measured on in-service binocular night vision devices. The visual fatigue of each participant was assessed via a set of oculomotor parameters. The oculomotor parameters showing high sensitivity to optical misalignment were compared for subjects exposed to extended periods of misalignment in a baseline reading task and a task using an actual night vision device.
An Absence of Radio-loud Active Galactic Nuclei in Geometrically Flat Quiescent Galaxies: Implications for Maintenance-mode Feedback Models

Maintenance-mode feedback from low-accretion-rate active galactic nuclei (AGNs), manifesting itself observationally through radio-loudness, is invoked in all cosmological galaxy formation models as a mechanism that prevents excessive star formation in massive galaxies (M* ≳ 3 × 1010 M⊙). We demonstrate that at a fixed mass the incidence of radio-loud (RL) AGNs (L > 1023 W Hz−1) identified in the Faint Images of the Radio Sky at Twenty centimeter and NRAO Very Large Array Sky Survey radio surveys among a large sample of quiescent (non-star-forming) galaxies selected from the Sloan Digital Sky Survey is much higher in geometrically round galaxies than in geometrically flat, disk-like galaxies. As found previously, the RL AGN fraction increases steeply with stellar velocity dispersion σ* and stellar mass, but even at a fixed velocity dispersion of 200–250 km s−1 this fraction increases from 0.3% for flat galaxies (projected axis ratio of q < 0.4) to 5% for round galaxies (q > 0.8). We rule out the hypothesis that this strong trend is due to projection effects in the measured velocity dispersion. The large fraction of RL AGNs in massive, round galaxies is consistent with the hypothesis that such AGNs deposit energy into their hot gaseous halos, preventing cooling and star formation. However, the absence of such AGNs in disk-like quiescent galaxies—most of which are not satellites in massive clusters, raises important questions. Is maintenance-mode feedback a generally valid explanation for quiescence? If so, how does that feedback avoid manifesting at least occasionally as an RL galaxy?
Correlations in local measurements and entanglement in many-body systems

While entanglement plays an important role in characterizing quantum many-body systems, it is hardly possible to directly access many-body entanglement in real experiments. In this paper, we study how bipartite entanglement of many-body states is manifested in the correlation of local measurement outcomes. In particular, we consider a measure of correlation defined as the statistical distance between the joint probability distribution of local measurement outcomes and the product of its marginal distributions. Various bounds of this measure are obtained and several examples of many-body states are considered as a testbed for the measure. We also generalize the framework to the case of imprecise measurement and argue that the considered measure is related to the concept of quantum macroscopicity.
Overview of latest results from PHENIX

An overview of the latest results on the hard probes from the PHENIX experiment at RHIC is given. The results on the measurements of high $p_{T}$ hadrons, hadron-hadron correlations, open heavy flavor and quarkonia, and direct photons from large (Au+Au) to small collision systems ($p$+Al and $p/d/^3$He+Au) provided a deeper insight on the medium created in the large systems and the possible onset of QGP-nization in transition from small to large systems.