Miracle-dz/UniFAR-FTUs huggingface dataset:
PR3: Power Efficient and Low Latency Baseband Processing for LTE Femtocells

In order to provide greater network capacity, the use of small base stations such as Femtocells has increased to allow higher spectrum reuse. In these Femtocells, base station designers have started to explore the use of general purpose multi-core architectures to provide greater flexibility. Multi-core architectures allow power-performance trade-off possibilities through techniques such as Dynamic Voltage Frequency Scaling (DVFS) and Power Gating. In this work, we propose a power management framework based on reinforcement learning called PR3, which uses both DVFS and Power Gating. Our approach is unique as it introduces a feedback from the network scheduler and baseband processor to the Power Governor, so that information about both the network and computation workloads are included in the decision making. Evaluation on a hardware platform (Odroid XU3) running PHY LTE uplink baseband processing benchmark, shows that PR3performs well in terms of both power and latency. It is able to save upto 50% power while maintaining low processing latency. PR3is also adaptive, making it effective over a wide range of traffic loads.
Prevalence and detection of postnatal depression in an Irish community sample

Abstract Objectives: To establish the prevalence of postnatal depression using standardised methods of diagnosis and to evaluate early detection of postnatal depression. Methods: Prospective cohort study. Prevalence established using two-step screening with EPDS and semi-structured clinical interview for ICD-10 diagnosis. EPDS recorded at day three-five postnatal evaluated as predictor of depression at week six postnatal. Results: Prevalence established at 14.4%. EPDS recorded at day three-five postnatal when combined with past history of depression was a predictor of depression occurring at week six postnatal. Conclusions: We found a similar prevalence of postnatal depression in this Irish sample to other international prevalence studies. There are implications for hospital based screening to identify those at risk of developing a postnatal depression.
High Mobility 4H-SiC MOSFET Using a Thin SiO2/Al2O3 Gate Stack

Enhancement mode 4H-SiC MOSFETs with a channel length of 2 11m achieved a room temperature field effect mobility of 125 cm2/V·s and a subthreshold slope of 130 mY/dec. The devices demonstrated a remarkable temperature stability up to 300°C, remaining enhancement mode with high mobility and an ON/OFF current ratio in excess of $\pmb{10^{6}}$. The fabricated devices utilised a gate stack comprising a 0.7 nm thin thermal Si02, thereby reducing defects following oxidation, and a 40 nm thick Ah03 formed by atomic layer deposition. A high mobility was maintained over a wide gate voltage range.
Phytochemical Profiling of Fruit Powders of Twenty Sorbus L. Cultivars

Rowanberries have been traditionally used in various processed foods. Scientific research demonstrates the pharmacological effects of Sorbus L. fruits are determined by their unique composition of biologically active compounds. The aim of this study was to determine the composition of flavonoids, phenolic acids, anthocyanins, carotenoids, organic acids and sugars as well as the total antioxidant activity in fruit powders of 20 Sorbus cultivars. Chemical profiles of rowanberry fruit powders vary significantly. Cultivars ‘Burka’, ‘Likernaja’, ‘Dodong’, and ‘Fructo Lutea’ distinguish themselves with exclusive phytochemical composition and high antioxidant activity. Fruit powders from ‘Burka’, ‘Likernaja’ contain the highest contents of anthocyanins while fruit powder samples from ‘Fructo Lutea’ and ‘Dodong’ contain the highest levels of phenolic acids, ascorbic acid and the lowest levels of fructose. Fruit powder samples from ‘Dodong’ also contain the highest levels of β-carotene and sorbitol and the lowest levels of malic acid. Cultivars ‘Burka’, ‘Likernaja’, ‘Dodong’, and ‘Fructo Lutea’ could be selected as eligible raw materials for the preparation of rowanberry fruit powders.
Perceived threat of Alzheimer’s disease and related dementias among older Chinese Americans in subsidized housing: Through a cultural lens

Purposes Low socioeconomic status and limited social support may put older residents in subsidized housing at high risk for developing fears of Alzheimer’s disease or related dementias. This study examined the perceived threat of Alzheimer’s disease or related dementias among older Chinese Americans in subsidized housing facilities in Phoenix, Arizona of the United States, and focused on the effect of cultural beliefs (i.e., beliefs toward Alzheimer’s disease or related dementias, and beliefs toward intergenerational support) on the perceived threat of Alzheimer’s disease or related dementias. Method Analyses were based upon a survey of 207 Chinese American older adults (Mage = 75.37, SD = 7.47) living in subsidized housing facilities in the Phoenix metropolitan area. Standardized survey questionnaires were delivered through face-to-face interviews. Results Multivariate analyses suggest that fatalism related beliefs about Alzheimer’s disease or related dementias, rather than stigmatization, were related to higher levels of concerns for developing Alzheimer’s disease or related dementias, while beliefs in intergenerational support were related to lower levels of perceived threat of Alzheimer’s disease or related dementias. However, the protective effect of beliefs in intergenerational support tended to diminish in those living with higher levels of depressive symptoms. Discussion Cultural beliefs can entail both risks and strengths when low-income Chinese American elders attempt to comprehend the implications of Alzheimer’s disease or related dementias. Health education or intervention programs need to address their fatalism beliefs toward Alzheimer’s disease or related dementias, and facilitate the accessibility of intergenerational support for this group.
Explaining Image Classifiers by Counterfactual Generation

When an image classifier makes a prediction, which parts of the image are relevant and why? We can rephrase this question to ask: which parts of the image, if they were not seen by the classifier, would most change its decision? Producing an answer requires marginalizing over images that could have been seen but weren't. We can sample plausible image in-fills by conditioning a generative model on the rest of the image. We then optimize to find the image regions that most change the classifier's decision after in-fill. Our approach contrasts with ad-hoc in-filling approaches, such as blurring or injecting noise, which generate inputs far from the data distribution, and ignore informative relationships between different parts of the image. Our method produces more compact and relevant saliency maps, with fewer artifacts compared to previous methods.
First and Second Order Piezoresistive Characteristics of CMOS FETs: Weak through Strong Inversion

Experimental results validate a continuous model describing the stress dependencies of CMOS FETs from weak through strong inversion. The model incorporates the significant impact of threshold voltage changes (through $\mathrm{n}_{\mathrm{i}}^{2}$) on the stress responses in all regions of operation and describes both first- and second-order longitudinal and traverse piezoresistive coefficients for PMOS and NMOS devices. Orthogonal differential pairs of MOSFETs can be utilized to directly measure the mobility component of the overall stress response.
Muscle weakness and functional disability in patients with myasthenia gravis

Introduction: Muscle weakness and functional disability have not been evaluated in a population‐based study of patients with myasthenia gravis (MG). Methods: All patients with MG in a well‐defined catchment area were identified in the Danish National Patient Registry. Of the 175 eligible patients, 90 participated and were studied using MG‐specific scales, isometric dynamometry, and functional tests. Fifty age‐ and sex‐matched subjects served as controls. Results: Muscle strength was reduced by 13%, 21%, and 12% for shoulder abduction, knee extension, and ankle extension, respectively (P < 0.05). Chair stand and 400‐meter walking were impaired by 24% and 23%, respectively (P < 0.05). Muscle strength and functional performances were related to MG‐specific scales. Discussion: MG patients have moderately reduced isometric muscle strength and impaired physical performance. Muscle weakness and functional tests relate closely to MG‐specific scales, suggesting that dynamometry and functional tests can be used to monitor MG patients and as efficacy parameters in clinical trials. Muscle Nerve 59:218–223, 2019
A Subjective Study of Viewer Navigation Behaviors When Watching 360-Degree Videos on Computers

Virtual reality (VR) applications have become popular recently and rapidly commercialized. The behaviors of users watching 360-degree omni-directional videos have not been fully investigated. In this paper, a dataset of view trajectories for users watching 360-degree videos over computer (desktop/laptop) environment is presented. The dataset includes view center trajectory data collected from viewers watching twelve 360-degree videos over the computer, using mouse to navigate and explore the environment. The selected videos cover a variety of contents, leading to different navigation patterns and behaviors. Based on the dataset, we demonstrate that the viewers share similar viewing patterns over certain 360-degree video category. We also compare the view motion patterns and statistics with prior datasets captured using head-mounted display (HMD). The dataset has been made available online, to facilitate the studies on 360-degree video view prediction, content saliency analysis and VR streaming, etc.
CCOMPASSION: A Hybrid Cloudlet Placement Framework Over Passive Optical Access Networks

Cloud-based computing technology is one of the most significant technical advents of the last decade and extension of this facility towards access networks by aggregation of cloudlets is a step further. To fulfill the ravenous demand for computational resources entangled with the stringent latency requirements of computationally-heavy applications related to augmented reality, cognitive assistance and context-aware computation, installation of cloudlets near the access segment is a very promising solution because of its support for wide geographical network distribution, low latency, mobility and heterogeneity. In this paper, we propose a novel framework, Cloudlet Cost OptiMization over PASSIve Optical Network (CCOMPASSION), and formulate a nonlinear mixed-integer program to identify optimal cloudlet placement locations such that installation cost is minimized whilst meeting the capacity and latency constraints. Considering urban, suburban and rural scenarios as commonly-used network deployment models, we investigate the feasibility of the proposed model over them and provide guidance on the overall cloudlet facility installation over optical access network. We also study the percentage of incremental energy budget in the presence of cloudlets of the existing network. The final results from our proposed model can be considered as fundamental cornerstones for network planning with hybrid cloudlet network architectures.
Protecting Voice Controlled Systems Using Sound Source Identification Based on Acoustic Cues

Over the last few years, a rapidly increasing number of Internet-of-Things (IoT) systems that adopt voice as the primary user input have emerged. These systems have been shown to be vulnerable to various types of voice spoofing attacks. Existing defense techniques can usually only protect from a specific type of attack or require an additional authentication step that involves another device. Such defense strategies are either not strong enough or lower the usability of the system. Based on the fact that legitimate voice commands should only come from humans rather than a playback device, we propose a novel defense strategy that is able to detect the sound source of a voice command based on its acoustic features. The proposed defense strategy does not require any information other than the voice command itself and can protect a system from multiple types of spoofing attacks. Our proof-of- concept experiments verify the feasibility and effectiveness of this defense strategy.
Global overexpression of divalent metal transporter 1 delays crocidolite-induced mesothelial carcinogenesis in male mice

Abstract Exposure to asbestos fiber is central to mesothelial carcinogenesis, for which iron overload in or near mesothelial cells is a key pathogenic mechanism. Alternatively, iron chelation therapy with deferasirox or regular phlebotomy was significantly preventive against crocidolite-induced mesothelial carcinogenesis in rats. However, the role of iron transporters during asbestos-induced carcinogenesis remains elusive. Here, we studied the role of divalent metal transporter 1 (DMT1; Slc11a2), which is a Fe(II) transporter, that is present not only on the apical plasma membrane of duodenal cells but also on the lysosomal membrane of every cell, in crocidolite-induced mesothelial carcinogenesis using DMT1 transgenic (DMT1Tg) mice. DMT1Tg mice show mucosal block of iron absorption without cancer susceptibility under normal diet. We unexpectedly found that superoxide production was significantly decreased upon stimulation with crocidolite both in neutrophils and macrophages of DMT1Tg mice, and the macrophage surface revealed higher iron content 1 h after contact with crocidolite. Intraperitoneal injection of 3 mg crocidolite ultimately induced malignant mesothelioma in ∼50% of both wild-type and DMT1Tg mice (23/47 and 14/28, respectively); this effect was marginally (p = 0.069) delayed in DMT1Tg mice, promoting survival. The promotional effect of nitrilotriacetic acid was limited, and the liver showed significantly higher iron content both in DMT1Tg mice and after crocidolite exposure. The results indicate that global DMT1 overexpression causes decreased superoxide generation upon stimulation in inflammatory cells, which presumably delayed the promotional stage of crocidolite-induced mesothelial carcinogenesis. DMT1Tg mice with low-stamina inflammatory cells may be helpful to evaluate the involvement of inflammation in various pathologies.
Accurate Characterization of Dynamic Cell Load in Noise-Limited Random Cellular Networks

The analyses of cellular network performance based on stochastic geometry generally ignore the traffic dynamics in the network. This restricts the proper evaluation and dimensioning of the network from the perspective of a mobile operator. To address the effect of dynamic traffic, recently, the mean cell approach has been introduced, which approximates the average network load by the zero cell load. However, this is not a realistic characterization of the network load, since a zero cell is statistically larger than a random cell drawn from the population of cells, i.e., a typical cell. In this paper, we analyze the load of a noise-limited network characterized by high signal to noise ratio (SNR). The noise-limited assumption can be applied to a variety of scenarios, e.g., millimeter wave networks with efficient interference management mechanisms. First, we provide an analytical framework to obtain the cumulative density function of the load of the typical cell. Then, we obtain two approximations of the average load of the typical cell. We show that our study provides a more realistic characterization of the average load of the network as compared to the mean cell approach. Moreover, the prescribed closed-form approximation is more tractable than the mean cell approach.
When UAVs Ride A Bus: Towards Energy-efficient City-scale Video Surveillance

This paper proposes a network architecture and supporting optimization framework that allows Unmanned Aerial Vehicles (UAVs) to perform city-scale video monitoring of a set of Points of Interest (PoI). Our approach is systems-driven, relying on experimental studies to identify the permissible number of hops for multi-UAV video relaying in a noisy 3-D environment. Our architecture itself is innovative in the sense that it defines a mathematical framework for selecting the UAVs for periodic re-charging by landing on public transportation buses, and then ‘riding’ the bus to the successive chosen Pol. Specifically, we show that our UAV scheduler can be modeled as an instance of multicommodity flow problems, and mathematically solved through Mixed Integer Linear Programming (MILP) techniques. Thus, our centralized formulation identifies the UAV, the next bus, and the next PoI, given the information about energy thresholds, the bus routes in the city and their next arrival times, to ensure persistent and reliable video coverage of all PoIs in the city. Finally, our work is validated via emulation of a city environment with live traffic updates from a real bus transportation network.
Human Tissue-Engineered Model of Myocardial Ischemia-Reperfusion Injury.

IMPACT STATEMENT Reducing ischemia-reperfusion injury would significantly improve patient survival. Current preclinical models are inadequate because they rely on animals, which do not emulate human physiology and the clinical setting. We developed a human tissue platform that allowed us to assess the human cardiac response, and demonstrated the platform's utility by measuring injury during ischemia-reperfusion and the effects of cardioprotective strategies. The model provides a foundation for future studies on how patient-specific backgrounds may affect response to therapeutic strategies. These steps will be necessary to help translate therapies into the clinical setting.
Centralized Adaptive CFAR Detection With Registration Errors in Multistatic Radar

The problem of centralized adaptive constant false alarm rate (CFAR) detection with registration errors in multistatic radar is considered. When the observation data from different radar sites are not properly aligned after transformed into a common coordinate system, registration errors occur. This can severely degrade the target detection performance and positioning accuracy of multistatic radar. In this paper, we focus on the design of adaptive detectors that are applicable for centralized target detection with registration errors in multistatic radar. A maximum likelihood estimation-based generalized likelihood ratio test detector and a maximum a posteriori estimation-based generalized likelihood ratio test detector are developed. Both detectors possess the CFAR property with regard to the unknown statistics of the background noise. Accordingly, the performance of the two proposed detectors are analyzed.
Bendamustine, etoposide, and dexamethasone to mobilize peripheral blood hematopoietic stem cells for autologous transplantation in non-Hodgkin lymphoma

Background Bendamustine is a chemotherapeutic agent that has shown broad activity in patients with lymphoid malignancies. It contains both alkylating and nucleoside analog moieties, and thus, is not commonly used for stem cell mobilization due to concerns that it may adversely affect stem cell collection. Here we describe the lymphoma subset of a prospective, non-randomized phase II study of bendamustine, etoposide, and dexamethasone (BED) as a mobilization agent for lymphoid malignancies. Methods This subset analysis includes diffuse large B-cell lymphoma (N=3), follicular lymphoma (N=1), primary mediastinal B-cell lymphoma (N=1), and NK/T-cell lymphoma (N=1). Patients received bendamustine (120 mg/m2 IV d 1, 2), etoposide (200 mg/m2 IV d 1–3), and dexamethasone (40 mg PO d 1–4) followed by filgrastim (10 mcg/kg/d sc. through collection). Results We successfully collected stem cells from all patients, with a median of 7.9×106/kg of body weight (range, 4.4 to 17.3×106/kg) over a median of 1.5 days (range, 1 to 3) of apheresis. All patients who received transplants were engrafted using kinetics that were comparable to those of other mobilization regimens. Three non-hematologic significant adverse events were observed in one patient, and included bacterial sepsis (grade 3), tumor lysis syndrome (grade 3), and disease progression (grade 5). Conclusion For non-Hodgkin lymphoma, mobilization with bendamustine is safe and effective.
Autologous Chondrocyte Implantation and Tibial Tubercle Osteotomy for Patellofemoral Chondral Defects: Improved Pain Relief and Occupational Outcomes Among US Army Servicemembers

Background: The occupational and functional results of patellofemoral autologous chondrocyte implantation (ACI) are underreported. This investigation sought to establish clinical outcomes and rates for return to work in a predominantly high-demand military cohort undergoing this procedure. Purpose: To determine the return-to-work, pain relief, and perioperative complication rates in a high-demand athletic cohort undergoing patellofemoral ACI. Study Design: Case series; Level of evidence, 4. Methods: All military servicemembers from 2 military medical centers undergoing ACI for high-grade patellofemoral chondral defects between 2006 and 2014 were identified, and data were abstracted from their medical records and clinical databases. Demographic and surgical variables were obtained for patients with at least 2 years of postoperative follow-up, and perioperative complications, rates of return to work, and survivorship from revision were quantified. Results: Seventy-two patients (72%) had >2-year follow-up and had patellofemoral ACI for high-grade chondral defects, with 66 knees (91%) undergoing a concomitant offloading tibial tubercle osteotomy. Mean follow-up was 4.3 years (range, 2.0-9.9 years). The mean ± SD age was 34.4 ± 6.1 years; 86% were male; and 57% were involved in military occupational specialties of heavy or very heavy demand. Second-generation patellofemoral ACI with a type I/III collagen membrane was used for 85% of knees. Most defects were isolated to the patella (n = 40, 55%). The mean total defect surface area was 4.5 ± 2.9 cm2 (range, 2.7-13.5 cm2). Fifty-six servicemembers (78%) returned to their occupational specialties. Three patients (4.1%) were classified as having surgical failures, requiring subsequent knee arthroplasty (n = 2) or a revision chondral procedure (n = 1). Mean visual analog scores improved significantly from 6.5 ± 1.5 to 3.2 ± 2.1 (P < .0001). Multivariate analysis identified use of a periosteal patch as the only significant independent predictor for surgical (P = .013) and overall (P = .033) failures. Age <30 years (P = .019), female sex (P = .019), and regular tobacco use (P = .011) were independent predictors of overall failure. Conclusion: For patellofemoral chondral defects without a failed primary procedure, second-generation ACI successfully returned to work 78% of patients of moderate to very heavy occupational demand with significantly decreased patient-reported knee pain. Risk factors after ACI for patellofemoral articular lesions for overall failure were age <30 years, female sex, and tobacco use, while surgical and overall failures were associated with periosteal patch use.