Miracle-dz/UniFAR-FTUs huggingface dataset:
Topology-Transparent Distributed Multicast and Broadcast Scheduling in Mobile Ad Hoc Networks

Transmission scheduling is a key problem in mobile ad hoc networks. Many transmission scheduling algorithms have been proposed to maximize the spatial reuse and minimize the time-division multiple-access (TDMA) frame length in mobile ad hoc networks. Most algorithms are dependent on the exact network topology and cannot adapt to the dynamic topology in a mobile wireless network. To overcome this limitation, several topology-transparent scheduling algorithms have been proposed. The slots are assigned to guarantee that there is at least one collision-free time slot in each frame. In this paper, we consider multicast and broadcast, and propose a novel topology-transparent distributed scheduling algorithm. Instead of guaranteeing at least one collision-free transmission, the proposed algorithm guarantees one successful transmission exceeding a given probability, and achieves a much better average throughput. The simulation results show that the performance of our proposed algorithm is much better than the conventional TDMA and other existing algorithms in most cases.
Cross linguistic aphasia testing: The Portuguese version of the Aachen Aphasia Test (AAT)

Abstract We report the adaptation of the Aachen Aphasia Test (AAT) to the Portuguese language (PAAT) and the results of its standardization in 125 persons with aphasia and 153 healthy controls. Patients with aphasia had a previous syndromic diagnosis, obtained through a Portuguese aphasia battery, which served as a reference. The control group was stratified by age and educational level. Hierarchical cluster analyses showed good construct validity. The increasing degree of difficulty and complexity throughout the item sets comprising subtests was confirmed. The discriminatory power of the PAAT for the selection of aphasic from non-aphasic persons proved to be as high as for the AAT versions in other languages. Classification of standard aphasic syndromes by means of discriminant analyses was good. Internal consistency, measured by means of Cronbach's alpha coefficient, was high to very high for the different PAAT subtests. Performance differences caused by age or educational level among the healthy control persons emphasized the need for correction factors. In conclusion, the PAAT showed robust psychometrical properties, comparable to the original German and to adaptations to other languages. It constitutes a useful tool for cross-linguistic and multicenter studies. (JINS, 2008, 14, 1046–1056.)
Optimal Multi-Server Allocation to Parallel Queues with Random Connectivity and Retransmissions

We investigate an optimal scheduling problem for a discrete-time system of two parallel queues with infinite capacity, sharing two symmetrical servers. This model can be used to study a variety of scheduling problems in wireless networks. At any time slot, a queue can be served by one or two connected servers; the queue-server connectivity is assumed to be random and modeled by a two-state Markov chain. The arrivals to each queue are assumed to be independent and identically distributed. A scheduled packet completes service successfully with a given probability. Otherwise, it has to be retransmitted in a later time slot. The optimal scheduling policy is defined as the server allocation policy that minimizes, in a stochastic ordering sense, the total number of packets in the system. We prove, using a dynamic coupling method, that a "Most Balancing" policy, a policy that attempts to balance the lengths of the two queues, is optimal. We also compare the performance of the optimal policy to that of a few other policies via simulations.
Solar Rotation Period Driven Modulations of Plasmaspheric Density and Convective Electric Field in the Inner Magnetosphere

This paper presents the first analysis of Van Allen Probes measurements of the cold plasma density and electric field in the inner magnetosphere to show that intervals of strong modulation at the solar rotation period occur in the locations of the outer plasmasphere and plasmapause (~0.7 RE peak‐to‐peak), in the large‐scale electric field (~0.24 mV/m peak‐to‐peak), and in the cold plasma density (~250 to ~70 cm−3 peak‐to‐peak). Solar rotation modulation of the inner magnetosphere is more apparent in the declining phase of the solar cycle than near solar maximum. The periodicities in these parameters are compared to solar extreme ultraviolet irradiance, solar wind dawn‐dusk electric field, and Kp. The variations in the plasmapause location at the solar rotation period anticorrelate with solar wind electric field, magnetospheric electric field, and Kp, but not with extreme ultraviolet irradiance, indicating that convective erosion is the dominant physical process controlling the plasmapause at these timescales.
Embryonic stem cells as a cell source for treating Parkinson’s disease

Parkinson’s disease (PD) is a neurodegenerative disease characterised by a loss of midbrain dopaminergic (DA) neurons. Transplantation of DA neurons represents a promising treatment for PD, and embryonic stem (ES) cells are a good candidate source for DA neurons. However, although recent reports have demonstrated that DA neurons can be efficiently induced from ES cells and function therapeutically in an animal model of PD, many problems remain to be solved in order for ES cells to be used for clinical applications. This review will describe the current status of this field and the obstacles yet to be overcome, and will outline future research approaches from the clinical perspective.
Increased aortic pulse wave velocity in middle aged women with systemic lupus erythematosus

Systemic lupus erythematosus (SLE) is a connective tissue disease where inflammatory activity affects several organ systems. An increased risk of cardiovascular disease has been identified in these patients, even after correction for traditional risk factors. The aim of the present study was to evaluate arterial stiffness and central hemodynamics in women with SLE in comparison to controls. Arterial tonometry was used to measure aortic (carotid-femoral) and arm (carotid-radial) pulse wave velocity (PWV), reflected pressure waves, and aortic augmentation index (AIx) in 27 women with SLE (52 to 68 years) and 27 controls. Aortic PWV was higher in women with SLE than controls, 9.8 m/s versus 8.2 m/s (P 0.01), after correction for mean arterial pressure and body mass index, 9.5 m/s versus 8.5 m/s (P 0.05). Other parameters were similar, arm PWV, 8.4 versus 8.5 m/s, AIx 34 versus 33% and calculated central aortic pulse pressure 48 versus 43 mmHg, in SLE and controls, respectively (NS). Aortic PWV was positively associated to C-reactive protein (CRP) and complement factor 3 (C3). Women with SLE have increased stiffness of their elastic central arteries. This may be one factor contributing to the increased cardiovascular risk seen in this cohort.
A multi-biomarker score measures rheumatoid arthritis disease activity in the BeSt study

Objective. To evaluate a multi-biomarker disease activity (MBDA) score, a novel index based on 12 serum proteins, as a tool to guide management of RA patients. Methods. A total of 125 patients with RA from the Behandel Strategieën study were studied. Clinical data and serum samples were available from 179 visits, 91 at baseline and 88 at year 1. In each serum sample, 12 biomarkers were measured by quantitative multiplex immunoassays and the concentrations were used as input to a pre-specified algorithm to calculate MBDA scores. Results. MBDA scores had significant correlation with DAS28-ESR (Spearman’s ρ = 0.66, P < 0.0001) and also correlated with simplified disease activity index, clinical disease activity index and HAQ Disability Index (all P < 0.0001). Changes in MBDA between baseline and year 1 were also correlated with changes in DAS28-ESR (ρ = 0.55, P < 0.0001). Groups stratified by European League Against Rheumatism disease activity (DAS28-ESR ≤ 3.2, 3.2–5.1 and > 5.1) had significantly different MBDA scores (P < 0.0001) and MBDA score could discriminate ACR/EULAR Boolean remission with an area under the receiver operating characteristic curve of 0.83 (P < 0.0001). Conclusion: The MBDA score reflects current clinical disease activity and can track changes in disease activity over time.
Hot Pages: Software Caching for Raw Microprocessors

This paper describes Hot Pages, a software based solution for managing on-chip data on the MIT Raw Machine, a scalable, parallel, microprocessor architecture. This software system transparently manages the mapping between the program address space and available on-chip memory. Hot Pages implements a multi-bank memory structure, allowing multiple references in parallel, to provide memory bandwidth matched to the computational resources on the Raw microprocessor. Because virtualization is handled in software rather than hardware, the system is easier to design and test, and provides flexibility for customized solutions. The challenge for this kind of software based approach is to balance the tradeoffs between the added software overheads against opportunities provided by a memory management scheme specialized for each application. Our technique, called Hot Pages, combines both compile-time and runtime techniques to reduce the software overheads. The Hot Pages system optimizes the translation code for the hit case and caches translated virtual page descriptions likely to be reused for nearby memory references. We use pointer analysis to identify program memory references that can reuse a translated virtual page description. This allows us to specialize the code for each memory reference, reducing the cost of performing translations, and eliminating it entirely in some cases. The framework also provides additional opportunities for optimization because the cost of sophisticated memory management schemes can be relegated to translation misses. We present simulation results for a variety of applications running with Hot Pages on a prototype Raw system.
Macrophage Recruitment Contributes to Regeneration of Mechanosensory Hair Cells in the Zebrafish Lateral Line

In vertebrates, damage to mechanosensory hair cells elicits an inflammatory response, including rapid recruitment of macrophages and neutrophils. While hair cells in amniotes usually become permanently lost, they readily regenerate in lower vertebrates such as fish. Damage to hair cells of the fish lateral line is followed by inflammation and rapid regeneration; however the role of immune cells in this process remains unknown. Here, we show that recruited macrophages are required for normal regeneration of lateral line hair cells after copper damage. We found that genetic ablation or local ablation using clodronate liposomes of macrophages recruited to the site of injury, significantly delays hair cell regeneration. Neutrophils, on the other hand, are not needed for this process. We anticipate our results to be a starting point for a more detailed description of extrinsic signals important for regeneration of mechanosensory cells in vertebrates. J. Cell. Biochem. 117: 1880–1889, 2016. © 2016 Wiley Periodicals, Inc.
A biomechanical and subjective comparison of two powered ambulance cots

This study investigated biomechanical effects of different leg folding/unfolding mechanisms used for loading/unloading two powered cots (Cots A and B) into and from a simulated ambulance. Sixteen experienced emergency medical service (EMS) workers loaded and unloaded cots with weights of 45, 68 and 91 kg placed on the cots to simulate patients. Peak back and shoulder/arm muscle activity was reduced 52–87% when using Cot A in comparison to Cot B. Peak ground reaction force (PGRF) was reduced by 74% with Cot A. Adding weight resulted in increased muscle activity and PGRF when using Cot B, but had little effect when using Cot A. Task time was longer with Cot A, though was not perceived unfavourably by participants. This study confirmed that it is possible to substantially reduce physical stress imposed on EMS workers when loading and unloading a cot to and from an ambulance through improvements in cot design. Practitioner Summary: This study compared two powered ambulance cots, one that lifts/lowers the front and rear wheels independently and one that lifts/lowers the four wheels simultaneously during ambulance loading and unloading. Measured muscle activity, ground reaction forces and operator perceptions support using cot designs that lift/lower the front and rear wheels independently.
Multiple anti-windup loops under multiple static activations: Enlargement of the domain of attraction

Anti-windup design is an intuitive and efficient way to deal with input saturation nonlinearities. In the classic anti-windup design, the compensator is set to be activated immediately as the control signal saturates the actuator. An important innovation in the anti-windup activation mechanism is to delay the activation of the anti-windup mechanism until the saturation reaches to a certain severity which led to a performance improvement of the resulting closed-loop system. More recently, it was shown that by activating a static anti-windup mechanism in anticipation of actuator saturation, significant further performance improvements can be achieved in comparison with the delayed activation design. In addition, we have combined both the delayed and anticipatory activation mechanisms, to develop the multiple activation strategy, in terms of ℒ2 gain performance. This paper furthermore considers the problem of enlarging domain of attraction and demonstrates that the multiple activation of a static multiple feedback anti-windup mechanism would also lead to significant performance improvements over both the immediate and delayed activation schemes.
An Empirical Study of Passive 802.11 Device Fingerprinting

802.11 device fingerprinting is the action of characterizing a target device through its wireless traffic. This results in a signature that may be used for identification, network monitoring or intrusion detection. The fingerprinting method can be active by sending traffic to the target device, or passive by just observing the traffic sent by the target device. Many passive fingerprinting methods rely on the observation of one particular network feature, such as the rate switching behavior or the transmission pattern of probe requests. In this work, we evaluate a set of global wireless network parameters with respect to their ability to identify 802.11 devices. We restrict ourselves to parameters that can be observed passively using a standard wireless card. We evaluate these parameters for two different tests: i) the identification test that returns one single result being the closest match for the target device, and ii) the similarity test that returns a set of devices that are close to the target devices. We find that the network parameters transmission time and frame inter-arrival time perform best in comparison to the other network parameters considered. Finally, we focus on inter-arrival times, the most promising parameter for device identification, and show its dependency from several device characteristics such as the wireless card and driver but also running applications.
Adaptive Edge Analytics for Distributed Networked Control of Water Systems

Over the last decade, there has been a trend where water utility companies aim to make water distribution networks more intelligent in order to improve their quality of service, reduce water waste, minimize maintenance costs etc., by incorporating IoT technologies. Current state of the art solutions use expensive power hungry deployments to monitor and transmit water network states periodically in order to detect anomalous behaviors such as water leakage and bursts. However, more than 97% of water network assets are remote away from power and are often in geographically remote underpopulated areas, facts that make current approaches unsuitable for next generation more dynamic adaptive water networks. Battery-driven wireless sensor/actuator based solutions are theoretically the perfect choice to support next generation water distribution. In this paper, we present an end-to-end water leak localization system, which exploits edge processing and enables the use of battery-driven sensor nodes. Our system combines a lightweight edge anomaly detection algorithm based on compression rates and an efficient localization algorithm based on graph theory. The edge anomaly detection and localization elements of the systems produce a timely and accurate localization result and reduce the communication by 99% compared to the traditional periodic communication. We evaluated our schemes by deploying non-intrusive sensors measuring vibrational data on a real-world water test rig that have had controlled leakage and burst scenarios implemented.
Quantitative Analysis of the Antiviral Activity of CD8+ T Cells from Human Immunodeficiency Virus-Positive Asymptomatic Patients with Different Rates of CD4+T-Cell Decrease

ABSTRACT We have measured in 22 asymptomatic human immunodeficiency virus type 1-infected patients (10 rapid progressors and 12 slow progressors) the proviral load of CD4+ T cells homogeneously superinfected by the same dose of a non-syncytium-inducing virus in the presence or in the absence of autologous CD8+ T cells. We demonstrated that the antiviral activity of CD8+ T cells was highly predictive of the rate of peripheral CD4+ T-cell decline.
Comparison of adherence and persistence among multiple sclerosis patients treated with disease-modifying therapies: a retrospective administrative claims analysis

Purpose: To compare adherence and persistence among patients with multiple sclerosis (MS) initiated on disease-modifying therapy (DMTs), including intramuscular (IM) interferon beta-1a (IFNβ-1a), subcutaneous (SC) IFNβ-1a, IFNβ-1b, or glatiramer acetate (GA). Methods: MS patients initiated on IM-IFNβ-1a, SC-IFNβ-1a, IFNβ-1b, or GA between January 1, 2000 and January 2, 2008 were identified from a retrospective claims database study associated with a large US health plan. The date of DMT initiation was the index date; patients were observed for 6 months before and 12–36 months after the index date. Adherence to the index DMT was measured with a medication possession ratio (MPR), the proportion of days patients possessed their index DMTs; MPR ≥ 0.80 was considered adherent. Persistence was time in days from index date until the earlier of a minimum 60-day gap in DMT therapy or the last DMT claim during follow-up. Adherence and persistence were modeled with logistic and Cox proportional hazard regressions, respectively. Results: The study population comprised 6,680 patients in the DMT cohorts: IM-IFNβ-1a (N = 2,305, 34.5%); IFNβ-1b (N = 894, 13.4%); GA (N = 2,270, 34.0%); and SC-IFNβ-1a (N = 1,211, 18.1%). The IM-IFNβ-1a cohort had significantly higher regression-adjusted odds of adherence relative to the other cohorts: 52.4% higher odds versus the IFNβ-1b cohort (OR = 0.656, CI = 0.561–0.768); 33.5% higher odds versus the GA cohort (OR = 0.749, CI = 0.665–0.844); and 20.6% higher odds versus the SC-IFNβ-1a cohort (OR = 0.829, CI = 0.719–0.957). There were no consistent differences in persistence between the cohorts. Conclusion: IM-IFNβ-1a patients had significantly higher odds of adherence compared with other DMT cohorts, possibly attributable to IM-IFNβ-1a’s less frequent dosing schedule. The benefits of adherence may include better quality of life, lower risk of relapse, and fewer hospitalizations and emergency visits, making adherence a critical component of MS management.
Optimal Power Management With GHG Emissions Limitation in All-Electric Ship Power Systems Comprising Energy Storage Systems

The extensive electrification of ship power systems has become a very appealing option for the development of more efficient and environmentally friendly ships. Optimal power management and energy storage systems will have a key role in such systems as they can lead to fuel consumption reduction and increase overall ship efficiency. However, technical difficulties arising from the inherent complexity of such systems should be overcome. In this paper, the optimal operation of a ship electric power system comprising full electric propulsion and energy storage system is analyzed. An optimal power management method is proposed so that the operation cost is minimized, greenhouse gas emissions are limited and, at the same time, the associated technical and operational constraints are not violated.
The Power of Non-Uniform Wireless Power

We study a fundamental measure for wireless interference in the SINR model known as (weighted) inductive independence. This measure characterizes the effectiveness of using oblivious power --- when the power used by a transmitter only depends on the distance to the receiver --- as a mechanism for improving wireless capacity. We prove optimal bounds for inductive independence, implying a number of algorithmic applications. An algorithm is provided that achieves --- due to existing lower bounds --- capacity that is asymptotically best possible using oblivious power assignments. Improved approximation algorithms are provided for a number of problems for oblivious power and for power control, including distributed scheduling, connectivity, secondary spectrum auctions, and dynamic packet scheduling.
2 Illustrative ACE Research Areas

Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents. Starting from initial conditions, specified by the modeler, the computational economy evolves over time as its constituent agents repeatedly interact with each other and learn from these interactions. ACE is therefore a bottom-up culture-dish approach to the study of economic systems. This chapter discusses the key characteristics and goals of the ACE methodology. Eight currently active research areas are highlighted for concrete illustration. Potential advantages and disadvantages of the ACE methodology are considered, along with open questions and possible directions for future research.
Abnormal panretinal response pattern to carbogen inhalation in experimental retinopathy of prematurity.

PURPOSE Present technologies are not able to determine which retinas are at risk for the development of neovascularization in retinopathy of prematurity (ROP). In this study, the authors evaluated whether a novel magnetic resonance imaging (MRI) method could be used to identify differences between control retinas and those that will develop neovascularization in the newborn rat model of retinopathy of prematurity (ROP). METHODS MRI and a 2-minute carbogen (95% O2/5% CO2) inhalation challenge (see ref. 11) were used to measure noninvasively the change in the posterior vitreous oxygen tension in specific locations across the full extent of the retina in day-12 rats raised in either room air (control, n = 7) or variable oxygen conditions (experimental ROP, n = 7). The experimental ROP animals were examined 2 days before the onset of neovascularization. RESULTS In the ROP group, the response to carbogen was lower (P < 0.05) at every distance from the optic nerve than in the control group. Within the ROP group, the vascular midperipheral retinal reaction to carbogen, 1 to 2 mm from the optic nerve, was as low as that from the avascular periphery, 2 to 3 mm from the optic nerve. Although the vascular central retinal response to carbogen, 0 to 1 mm from the optic nerve, was greater than either the vascular midperipheral retina or the avascular periphery in the ROP group, theoretically this difference could be caused by oxygen diffusing from the hyaloidal circulation. CONCLUSIONS Carbogen-challenge MRI seems to be a useful tool for assessing the risk of retinal neovascularization in the newborn rat ROP model. This MRI method has potential clinical applicability, for example, because effective laser therapy with retinal sparing may be possible if focal photocoagulation, guided by an MRI map, is performed.