Miracle-dz/UniFAR-FTUs huggingface dataset:
Antibodies to Plasmodium falciparum Glycosylphosphatidylinositols: Inverse Association with Tolerance of Parasitemia in Papua New Guinean Children and Adults

ABSTRACT Individuals living in regions of intense malaria transmission exhibit natural immunity that facilitates persistence of parasitemia at controlled densities for much of the time without symptoms. This aspect of immunity has been referred to as malarial “tolerance” and is thought to partly involve inhibition of the chain of events initiated by a parasite toxin(s) that may otherwise result in cytokine release and symptoms such as fever. Antibodies to the candidate Plasmodium falciparum glycosylphosphatidylinositol (GPI) toxin have been viewed as likely mediators of such tolerance. In this study, the relationship between antibodies to P. falciparum GPIs, age, and parasitemia was determined in asymptomatic children and adults living in Madang, Papua New Guinea. The prevalence and intensity of antibody responses increased with age and were lowest in children 1 to 4 years old with the highest-density parasitemias. In children of this age group who were tolerant of parasitemia during the study, only 8.3% had detectable immunoglobulin G (IgG) and none had IgM antibodies to GPI. This suggests that anti-GPI antibodies are unlikely to be the sole mediator of malarial tolerance, especially in children younger than 5 years. Following antimalarial treatment, clearance of parasitemia led to a fall in anti-GPI IgG response in children and adolescents within 6 weeks. As anti-GPI antibodies potentially play a role in protecting against disease progression, our results caution against the treatment of asymptomatic parasitemia and suggest that generation of a sustained antibody response in children poses a challenge to novel antitoxic vaccination strategies.
Superpixel-based classification of polarimetric synthetic aperture radar images

Nowadays, polarimetric synthetic aperture radar (PolSAR) image classification is an important and widely studied topic. To overcome the limitations of pixel-based classification methods, we present, in this paper, a novel superpixel-based classification framework for PolSAR images. The framework takes the spatial relations between pixels into account and fully uses the statistical characteristics and contour information of PolSAR data. The framework is capable of integrating various inherent features of PolSAR data, improving classification accuracies, and making the results more understandable. Experiments on the AIRSAR data set show that the framework provides a promising solution for classifying PolSAR images.
A Survey of Measurement-Based Spectrum Occupancy Modeling for Cognitive Radios

Spectrum occupancy models are very useful in cognitive radio designs. They can be used to increase spectrum sensing accuracy for more reliable operation, to remove spectrum sensing for higher resource usage efficiency, or to select channels for better opportunistic access, among other applications. In this survey, various spectrum occupancy models from measurement campaigns taken around the world are investigated. These models extract different statistical properties of the spectrum occupancy from the measured data. In addition to these models, spectrum occupancy prediction is also discussed, where autoregressive and/or moving-average models are used to predict the channel status at future time instants. After comparing these different methods and models, several challenges are also summarized based on this survey.
Political Socialization: Modeling Teen Political and Civic Engagement

Research on adolescent political and civic engagement has focused on a wide variety of socializing agents, including parents, school, peers, and the media. This study builds an explanatory model that connects macro-level (e.g., religion, education) and micro-level (parents, school curricula, and media) socialization agents. Using the ecological systems model of child development, the study shows a pattern of influence involving parents' political engagement and civic engagement, as well as teens' use of online political media. Media influence in the context of other factors is noted, along with the model's implications for further research on political socialization.
Load-aware dynamic RRH assignment in Cloud Radio Access Networks

Due to spatio-temporal variation of mobile subscriber's data traffic requirements, traffic load experienced by base stations present at different cell sites exhibit highly dynamic behavior in traditional cellular systems. This non-uniform and dynamic traffic load leads to under utilization of the base station computing resources at cell sites. Cloud Radio Access Network (C-RAN) is an innovative architecture which addresses this issue and keeps the Total Cost of Ownership (TCO) under safe limit for cellular operators. In C-RAN, the baseband processing units (BBUs) are segregated from cell sites and are pooled in a central cloud data center thereby facilitating shared access for a set of Remote Radio Heads (RRHs) present at cell sites. In order to truly exploit the benefits of C-RAN, the BBU pool deployed in the cloud has to efficiently serve clusters of RRHs (i.e., many-to-one mapping between RRHs and BBUs in the BBU pool) and thereby minimizing the required number of active BBUs. In this work, potential benefits of C-RAN are studied by considering realistic traffic loads of base stations deployed in urban areas by using statistical models. We propose a lightweight and load-aware algorithm, Dynamic RRH Assignment (DRA), which achieves BBU pooling gain close to that of a well known First-Fit Decreasing (FFD) bin packing algorithm. Using extensive simulations, we show that DRA consumes only 25% of time on average compared to FFD for the case of urban cellular deployment of 1000 RRHs. DRA slightly overestimates the required number of active BBUs as compared to FFD by 1.7% and 1.4% for weekdays and weekends, respectively.
Cytokinin Induction of RNA Polymerase I Transcription in Arabidopsis thaliana*

RNA polymerase I (pol I) transcribes the repeated genes that encode the precursor of 17-18, 5.8, and 25-28 S ribosomal RNA (rRNA). Pol I transcription is up-regulated in growing cells and down-regulated in quiescent cells, presumably reflecting the demand for ribosomes and protein synthesis. However, the signal transduction pathways responsible for pol I regulation are poorly understood. We tested the effects of exogenously applied plant hormones on promoter-dependent rRNA transcription in Arabidopsis thaliana Gibberellic acid, abscisic acid, auxin, and ethylene had no detectable effect on rRNA transcription, but kinetin (a cytokinin) stimulated rRNA transcription within 1 h of treatment. Increased steady-state levels of accurately initiated rRNA transcripts, detected by S1 nuclease protection, were paralleled by increased levels of nascent rRNA transcripts in isolated nuclei. Therefore, the primary effect of cytokinin appears to be at the level of transcription initiation rather than rRNA stability. Pol I accounts for ∼34% of total nuclear transcription in untreated plants and ∼60% following cytokinin treatment. The specific responsiveness of pol I transcription to kinetin suggests that cytokinins may act as general regulators of protein synthetic capacity and growth status in plant cells.
Closed-Loop Prevention of Hypotension in the Heartbeating Brain-Dead Porcine Model

Objective: The purpose of this paper is to demonstrate feasibility of a novel closed-loop controlled therapy for prevention of hypertension in the heartbeating brain-dead porcine model. Methods: Dynamic modeling and system identification were based on in vivo data. A robust controller design was obtained for the identified models. Disturbance attenuation properties and reliability of operation of the resulting control system were evaluated in vivo. Results: The control system responded both predictably and consistently to external disturbances. It was possible to prevent mean arterial pressure to fall below a user-specified reference throughout 24 h of completely autonomous operation. Conclusion: Parameter variability in the identified models confirmed the benefit of closed-loop controlled administration of the proposed therapy. The evaluated robust controller was able to mitigate both process uncertainty and external disturbances. Significance: Prevention of hypertension is critical to the care of heartbeating brain-dead organ donors. Its automation would likely increase the fraction of organs suitable for transplantation from this patient group.
Topographic patterns of intestinal metaplasia and gastric cancer

OBJECTIVE:The role of intestinal metaplasia in gastric oncogenesis has been demonstrated by both cross-sectional and longitudinal studies. This study was designed to determine whether, in a population at high risk for gastric cancer, different topographical patterns and phenotypes of intestinal metaplasia were associated with different degrees of cancer risk.METHODS:A total of 68 Colombian patients with gastric cancer and 67 controls with nonulcer dyspepsia were studied by an extensive biopsy protocol. Intestinal metaplasia was assessed semiquantitatively by histology and was characterized histochemically. In both patients and controls, the Spearman's correlation test was applied to the test if the gastric distribution of metaplastic lesions resulted in specific topographical patterns associated with different risks for cancer.RESULTS:Four topographical patterns of intestinalization emerged: 1) “Focal,” in 14 cancer patients and 16 controls; 2) “Antrum-predominant,” in seven cancer patients and six controls; 3) “Magenstraße” (involving the lesser curvature from cardia to pylorus) in 25 cancer patients and four controls. This pattern was associated with higher cancer risk (OR = 5.7; 95% CI: 1.3–26) than were the two less extensive patterns; and 4) “Diffuse,” involving essentially the entire gastric mucosa with the exception of the fundus, was unique to 13 cancer patients. The OR for cancer was 12.2; 95% CI: 2.0–72.9. Incomplete-type metaplasia significantly correlated with the extent of total metaplasia and was also associated with greater cancer risk.CONCLUSIONS:In a population with high risk for gastric cancer, the extension of intestinal metaplasia correlates with the extent of its “incomplete” phenotype and is significantly associated with increased cancer risk. Both the extent and location of intestinal metaplasia along the lesser curvature (from the cardia to the prepyloric zones) identify patients with the highest cancer risk.
Self-Immolative Polycations as Gene Delivery Vectors and Prodrugs Targeting Polyamine Metabolism in Cancer

Polycations are explored as carriers to deliver therapeutic nucleic acids. Polycations are conventionally pharmacological inert with the sole function of delivering therapeutic cargo. This study reports synthesis of a self-immolative polycation (DSS-BEN) based on a polyamine analogue drug N1,N11-bisethylnorspermine (BENSpm). The polycation was designed to function dually as a gene delivery carrier and a prodrug targeting dysregulated polyamine metabolism in cancer. Using a combination of NMR and HPLC, we confirm that the self-immolative polycation undergoes intracellular degradation into the parent drug BENSpm. The released BENSpm depletes cellular levels of spermidine and spermine and upregulates polyamine catabolic enzymes spermine/spermidine N1-acetyltransferase (SSAT) and spermine oxidase (SMO). The synthesized polycations form polyplexes with DNA and facilitate efficient transfection. Taking advantage of the ability of BENSpm to sensitize cancer cells to TNFα-induced apoptosis, we show that DSS-BEN enhances the cell killing activity of TNFα gene therapy. The reported findings validate DSS-BEN as a dual-function delivery system that can deliver a therapeutic gene and improve the outcome of gene therapy as a result of the intracellular degradation of DSS-BEN to BENSpm and the subsequent beneficial effect of BENSpm on dysregulated polyamine metabolism in cancer.
A data-centric architecture for data-driven spoken dialog systems

Data is becoming increasingly crucial for training and (self-) evaluation of spoken dialog systems (SDS). Data is used to train models (e.g. acoustic models) and is 'forgotten'. Data is generated on-line from the different components of the SDS system, e.g. the dialog manager, as well as from the world it is interacting with (e.g. news streams, ambient sensors etc.). The data is used to evaluate and analyze conversational systems both on-line and off-line. We need to be able query such heterogeneous data for further processing. In this paper we present an approach with two novel components: first, an architecture for SDSs that takes a data-centric view, ensuring persistency and consistency of data as it is generated. The architecture is centered around a database that stores dialog data beyond the lifetime of individual dialog sessions, facilitating dialog mining, annotation, and logging. Second, we take advantage of the state-fullness of the data-centric architecture by means of a lightweight, reactive and inference-based dialog manager that itself is stateless. The feasibility of our approach has been validated within a prototype of a phone-based university help-desk application. We detail SDS architecture and dialog management, model, and data representation.
CD73 Activity is Dispensable for the Polarization of M2 Macrophages

The ectoenzyme CD73 catalyzes the hydrolysis of AMP, and is one of the most important producers of extracellular adenosine. On regulatory T cells, CD73 is necessary for immunosuppressive functions, and on Th17 cells CD73-generated adenosine exerts anti-inflammatory effects. However, the expression and function of CD73 in pro-inflammatory M1 and in immunosuppressive M2 macrophages is largely unknown. Here we show that CD73 expression and enzyme activity were induced in in vitro polarized pro-inflammatory human M(LPS+TNF) monocytes/macrophages, while CD73 was absent from immunosuppressive M(IL-4+M-CSF)-polarized macrophages. Inhibition of CD73 activity with the inhibitor AMPCP did not affect the polarization of human monocytes. In mice, CD73 was present on resident peritoneal macrophages. In striking contrast, elicited peritoneal macrophages remained CD73 negative regardless of their polarization towards either a pro-inflammatory M(LPS) or anti-inflammatory M(IL-4c) direction. Finally, the ability of peritoneal macrophages to polarize to pro- and anti-inflammatory cells was perfectly normal in CD73-deficient mice in vivo. These data indicate that, in contrast to other major leukocyte subpopulations, CD73 activity on macrophages does not play a major role in their polarization and that in mice host CD73 on any cell type is not required in vivo for peritoneal macrophage polarization towards either a pro- or an anti-inflammatory direction.
Stabilization Control of the Differential Mobile Robot Using Lyapunov Function and Extended Kalman Filter

This paper presents the design of a control model to navigate the differential mobile robot to reach the desired destination from an arbitrary initial pose. The designed model is divided into two stages: the state estimation and the stabilization control. In the state estimation, an extended Kalman filter is employed to optimally combine the information from the system dynamics and measurements. Two Lyapunov functions are constructed that allow a hybrid feedback control law to execute the robot movements. The asymptotical stability and robustness of the closed loop system are assured. Simulations and experiments are carried out to validate the effectiveness and applicability of the proposed approach.
Novice educators' perceptions of the teacher education programme proposed by the Norms and Standards for Educators : research article

The introduction of the new teacher education model that includes competences and educator roles has marked a major change in teacher preparation programmes. The purpose of this study was to ascertain how novice educators perceive the new teacher education programme, that is, to find out whether novice educators perceive the teacher education training programme as adequate. In this context, novice educators are educators who have taught for 18 to 24 months after completing the teacher education programme. A questionnaire was administered to 897 novice educators who completed their teacher education in 2004 and 2005. The results reveal that the novice educators perceived the programme as inadequate. The novice educators indicated that the programme did not prepare them adequately for the teaching profession.
Leakage power optimization techniques for ultra deep sub-micron multi-level caches

On-chip L1 and L2 caches represent a sizeable fraction of the total power consumption of microprocessors. In deep sub-micron technology, the subthreshold leakage power is becoming the dominant fraction of the total power consumption of those caches. In this paper, we present optimization techniques to reduce the leakage power of on-chip caches assuming that there are multiple threshold voltages, VTH's, available. First, we show a cache leakage optimization technique that examines the trade-off between access time and leakage power by assigning distinct VTH's to each of the four main cache components address bus drivers, data bus drivers, decoders, and SRAM cell arrays with sense-amps. Second, we show optimization techniques to reduce the leakage power of L1 and L2 on-chip caches without affecting the average memory access time. The key results are: 1) 2 VTH's are enough to minimize leakage in a single cache; 2) if L1 size is fixed, increasing the L2 size can result in much lower leakage without reducing average memory access time; 3) if L2 size is fixed, reducing L1 size can result in lower leakage without loss of the average memory access time; and 4) smaller L1 and larger L2 caches than are typical in today's processors result in significant leakage and dynamic power reduction without affecting the average memory access time.
Assembly of components based on interface automata and UML component model

We propose an approach which combines component UML model and interface automata in order to assemble components and to verify their interoperability. We specify component based system architecture with component UML model, and component interfaces with interface automata. Interface automata is a common Input Output (I/O) automata-based formalism intended to specify the signature and the protocol level of component interfaces. We improve interface automata approach by component UML model, in order to consider system architecture, in component composition and interoperability verification methods. Therefore, we handle in interface automata, the connection between components, and the hierarchical connections between composite components and their subcomponents.
1H NMR Metabonomics Indicates Continued Metabolic Changes and Sexual Dimorphism Post-Parasite Clearance in Self-Limiting Murine Malaria Model

Malaria, a mosquito-borne disease caused by Plasmodium spp. is considered to be a global threat, specifically for the developing countries. In human subjects considerable information exists regarding post-malarial physiology. However, most murine malarial models are lethal, and most studies deal with acute phases occurring as disease progresses. Much less is known regarding physiological status post-parasite clearance. We have assessed the physiological changes at the organ levels using 1H NMR based metabonomics in a non lethal self-clearing murine malarial model of P. chabaudi parasites and Balb/C, far beyond the parasite clearance point. The results showed distinct metabolic states between uninfected and infected mice at the peak parasitemia, as well as three weeks post-parasite clearance. Our data also suggests that the response at the peak infection as well as recovery exhibited distinct sexual dimorphism. Specifically, we observed accumulation of acetylcholine in the brain metabolic profile of both the sexes. This might have important implication in understanding the pathophysiology of the post malarial neurological syndromes. In addition, the female liver showed high levels of glucose, dimethylglycine, methylacetoacetate and histidine after three weeks post-parasite clearance, while the males showed accumulation of branched chain amino acids, lysine, glutamine and bile acids.
Efficacy of artesunate plus amodiaquine versus that of artemether-lumefantrine for the treatment of uncomplicated childhood Plasmodium falciparum malaria in Zanzibar, Tanzania.

BACKGROUND This is the first clinical trial comparing the efficacy of artesunate plus amodiaquine (ASAQ) and artemether-lumefantrine (AL)--the major artemisinin-based combination therapy (ACT) candidates for treatment of malaria in Africa--that involved an extended, 42-day follow-up period, polymerase chain reaction-adjusted parasitological cure rates (PCR APCRs), and systematic analyses of genetic markers related to quinoline resistance. METHODS. A total of 408 children with uncomplicated Plasmodium falciparum malaria in Zanzibar, Tanzania, were enrolled. Children who were 6-8 months of age and/or who weighed 6-8 kg were assigned to receive ASAQ for 3 days. Children who were 9-59 months of age and who weighted > or =9 kg were randomly assigned to receive either ASAQ or AL for 3 days in standard doses. Intention-to-treat analyses were performed. RESULTS Age- and weight-adjusted PCR-APCRs by follow-up day 42 were 91% (188 of 206 patients) in the ASAQ group and 94% (185 of 197 patients) in the AL group (odds ratio [OR] for the likelihood of cure, 2.07; 95% confidence interval [CI], 0.84-5.10; P=.115). A total of 5 and 7 recrudescences occurred after day 28 in the ASAQ and AL groups, respectively. On the assumption that 10 malaria episodes with uncertain PCR results were recrudescences, PCR-APCRs decreased to 88% in the ASAQ group and to 92% in the AL group. Unadjusted cure rates by day 42 were 56% (116 of 206 patients) in the ASAQ group versus 77% (151 of 197 patients) in the AL group (OR, 2.55; 95% CI, 1.66-3.91; P<.001). Rates of reinfection by day 42 were 36% (65 of 181 patients) in the ASAQ arm versus 17% (31 of 182 patients) in the AL arm (OR, 0.37; 95% CI, 0.22-0.60; P<.001). A significant selection of P. falciparum multidrug resistance gene 1 allele 86N was found in isolates associated with reinfection after AL treatment, compared with isolates at baseline (2.2-fold increase; P<.001). CONCLUSIONS Both treatments were highly efficacious, but AL provided stronger prevention against reinfection. The high proportion of recrudescences found after day 28 and the genetic selection by the long-acting partner drug underlines the importance of long follow-up periods in clinical trials. A long follow-up duration and performance of PCR genotyping should be implemented in programmatic surveillance of antimalarial drugs.
Effects of Loss Rate on Ad Hoc Wireless Routing

This paper uses measurements from two deployed wireless ad hoc networks to illustrate the effects of link loss rates on routing protocol performance. Measurements of these networks show that the radio links between the majority of nodes have substantial loss rates. These loss rate are high enough to decrease forwarding performance, but not high enough to prevent existing ad hoc routing protocols from using the links. Link-level retransmission can mask high loss rates, at the cost of substantial decreases in throughput. Simulations, driven by the observed loss rates, show that the shortest paths chosen by existing routing protocols tend to find routes with much less capacity than is available along the best route. Based on these observations, we present a routing metric intended to allow routing protocols to find good routes in wireless ad hoc networks. The metric is the expected total number of transmissions required to deliver a packet along a route. This metric favors routes with high throughput and low total impact on spectrum. It is expected to perform better than existing techniques that eliminate links based on loss rate thresholds.