Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship of Late Loss in Lumen Diameter to Coronary Restenosis in Sirolimus-Eluting Stents

Background—Observed rates of restenosis after drug-eluting stenting are low (<10%). Identification of a reliable and powerful angiographic end point will be useful in future trials. Methods and Results—Late loss (postprocedural minimum lumen diameter minus 8-month minimum lumen diameter) was measured in the angiographic cohorts of the SIRIUS (n=703) and E-SIRIUS (n=308) trials. Two techniques, the standard normal approximation and an optimized power transformation, were used to predict binary angiographic restenosis rates and compare them with observed restenosis rates. The mean in-stent late loss observed in the SIRIUS trial was 0.17±0.45 mm (sirolimus) versus 1.00±0.70 mm (control). If a normal distribution was assumed, late loss accurately estimated in-stent binary angiographic restenosis for the control arm (predicted 35.4% versus observed 35.4%) but underestimated it in the sirolimus arm (predicted 0.6% versus observed 3.2%). Power transformation improved the reliability of the estimate in the sirolimus arm (predicted 3.2% [CI 1.0% to 6.7%]) with similar improvements in the E-SIRIUS trial (predicted 4.0% [CI 1.2% to 7.0%] versus observed 3.9%). In the sirolimus-eluting stent arm, in-stent late loss correlated better with target-lesion revascularization than in-segment late loss (c-statistic=0.915 versus 0.665). Conclusions—Because distributions of late loss with a low mean are right-skewed, the use of a transformation improves the accuracy of predicting low binary restenosis rates. Late loss is monotonically correlated with the probability of restenosis and yields a more efficient estimate of the restenosis process in the era of lower binary restenosis rates.
Differential roles of orexin receptor-1 and -2 in the regulation of non-REM and REM sleep

Orexin-A and orexin-B are hypothalamic neuropeptides that play critical roles in the maintenance of wakefulness. Intracerebroventricular (ICV) administration of orexin-A has been shown to promote wakefulness and suppress both rapid eye movement (REM) sleep and non-REM (NREM) sleep through the orexin receptor-1 (OX1R) and orexin receptor-2 (OX2R). Here, we elucidated the differential roles of orexin receptors in the regulation of sleep and wakefulness by comparing the effects of ICV orexin-A administration in wild-type, OX1R−/−, and OX2R−/− mice. The effects of orexin-A on wakefulness and NREM sleep were significantly attenuated in both knock-out mice as compared with wild-type mice, with substantially larger attenuation in OX2R−/− mice than in OX1R−/− mice. These results suggest that although the OX2R-mediated pathway has a pivotal role in the promotion of wakefulness, OX1R also plays additional roles in promoting arousal. In contrast, suppression of REM sleep by orexin-A administration was slightly and similarly attenuated in both OX1R−/− and OX2R−/− mice, suggesting a comparable contribution of the two receptors to REM sleep suppression. Histological studies demonstrated differential distributions of each receptor subtype in distinct neuronal populations with specific neurotransmitter identities in brainstem cholinergic/monoaminergic neurons. In the laterodorsal tegmental and pedunculopontine tegmental nuclei especially, cholinergic neurons exclusively expressed OX1R mRNA, but OX2R mRNA was expressed mainly in GABAergic putative interneurons. Thus, each orexin receptor subtype plays differential roles in gating NREM and REM sleep through distinct neuronal pathways.
Children's Reading in Low‐Income Countries

Children around the world, especially in low-income countries, lack equal opportunities to develop the early skills on which school-based learning takes place. Indeed, global data show that there are hundreds of millions of children with very low reading scores, even after many of them have gone to school for two or more years. Current research has accelerated in the area of early grade reading, as well as in language of instruction. Multiple studies and interventions have suggested innovative directions to support children's reading among the most marginalized groups. The 2030 United Nations Sustainable Development Goals, along with other global initiatives, are poised to make a major positive difference for such children in the coming years. A renewed focus on early reading worldwide and among the poor is part of what has been called the “learning as development” agenda.
Network Security Monitoring in a Small-Scale Smart-Grid Laboratory

Smart grids are the next generation of electrical grids, enabling the better management and leveling of power consumption by suppliers. Via the use of automatic meter reading, smart grid also provides better information to the end-users, making it possible to enhance their energy consumption and adapt it according to the current energy price, availability and other factors. As the grid becomes more and more reliant to ICT and communication networks, risks related to cybersecurity and privacy have to be taken into account. The link between automatic meters and the distribution operator has to be protected from security breaches that may lead to false billing and the transferred data has to be protected as it contains sensitive information about household and business behavior. In this article we present a limited state-of-the-art review as well as a network security monitoring setup for small-scale laboratory that is in essence a small scale smart grid environment. We discuss about the challenges and threats that are possible in the smart grid environment and the feasibility of using network security monitoring techniques that represent our work-in-progress research in this context.
A recursive structure of sand pile model and its applications

The Sand Pile Model (SPM) and its generalization, the Ice Pile Model (IPM), originate from physics and have various applications in the description of the evolution of granular systems. In this article, we deal with the enumeration and the exhaustive generation of the accessible configuration of the system. Our work is based on a new recursive decomposition theorem for SPM configurations using the notion of staircase bases. Based on this theorem, we provide a recursive formula for the enumeration of SPM(n) and a constant amortized time (CAT) algorithm for the generation of all SPM(n) configurations. The extension of the same approach to the Ice Pile Model is also discussed.
FAMILIES OF MULTI-ROUND HOMOCLINIC AND PERIODIC ORBITS NEAR A SADDLE-CENTER EQUILIBRIUM

We consider a real analytic two degrees of freedom Hamiltonian system possessing a homoclinic orbit to a saddle-centerequilibrium p (two nonzero real and two nonzero imaginary eigenvalues). We take a two-parameter unfolding for suchthe system and show that in nonresonance case there are countable sets of multi-round homoclinic orbits to p. We also nd families of periodic orbits, accumulating at homoclinic orbits.
Drumming and Mindfulness Integrations into an Evidence-Based Group Intervention

ABSTRACT Community mental health, to protect the integrity of service to a highly vulnerable population, has sought to increase the use of evidence-based practice. However, most evidence-based practices have a narrow scope challenging the breadth of effectiveness with consumers with higher levels of comorbidity. This article explores the use of mindfulness and drumming integrated into an evidence-based program: Seeking Safety. In response to the challenges of conducting a cognitive-focused intervention for members diagnosed with posttraumatic stress disorder, addictions, and co-occurring severe/persistent mental illness, mindfulness principles and drumming are used to help manage the emotional needs of group members. This article outlines the foundational principles supporting the group program.
Improving the College Students’ Learning Results and Active Participations in the Elementary Social Science Subject by using Jigsaw Cooperative Learning Technique

This study aimed to improve the college students’ active participation and results in learning the Elementary Social Science subject by using Jigsaw cooperative learning technique and explain their responses to the implementation of the technique. This is a Classroom Action Research. The sample and population used in this study were the students in the F 2015 class who consisted of 38 students; 11 men and 29 women. The data used are observation, learning results/scores, and the students’ responses which were supported by documentation and field notes. Simple quantitative and qualitative descriptive data analysis were used in this research. The results of the study showed an increase in the participation and results, from 72.25% (27 active students) and 73.25 as the average score in Cycle 1 to 83% (32 active students) and 84.5 as the average score in Cycle 2. The students also showed a positive response to the implementation of Jigsaw cooperative learning technique .
PARAMETER EXTRACTION FOR A NEW ANALYTICAL MODEL OF THE SHORT-CHANNEL MOS TRANSISTOR

An extraction method for the parameters of a new analytical model of the submicron MOS transistor for analog applications is presented. The stages which form the extraction process are detailed, along with an original parameter extractor created in Labview, which uses the Levenberg-Marquardt fitting algorithm. Also presented are the results of the fitting of the model to experimental curves obtained with measured data taken from real MOS transistors, as well as to theoretical curves generated with the EKV model.
Emotional factors related to the image quality of screen display

Nowadays improvements in digital display technologies, it needs to provide user with customized image quality them satisfying in the concatenation of diverse transmission media and a changing viewer environment. To product good image quality for screen display of electronic devices such as TV, monitor, mobile phone, etc., it is important to consider users' emotion. This paper is to investigate emotional factor determining users' satisfaction while watching different levels of screen display image (human, indoor, fruits, and landscape). 36 male and female students participated in this study. While watching participants each scene, only one physical measure could be adjusted remotely by the experimenter. Participants rated their emotion induced by image quality of each scene on emotion assessment scale. Statistical analysis of factor analysis and regression analysis were performed to identify the structure of emotion factors of screen display image quality and emotion factors predicting satisfactory level of the screen display image quality. We examined emotional factors predicting satisfactory level by image quality of four different stimuli (human, indoor, fruits, and landscape). These stimuli had different image qualities combined by different levels of brightness, contrast, sharpness, tint, and color through a screen display. We could identify that the adjectives determining degree of user's satisfaction to the image on screen display turned out `degree of naturalness', `refreshment', and `smoothness'.
Hardware implementation of a cascade particle filter

Recently, many researchers tackle accurate object recognition algorithms and many algorithms are proposed. However, these algorithms have some problems caused by variety of real environments such as a direction change of the object or its shading change. The new tracking algorithm, cascade particle filter, is proposed to fill such demands in real environments by constructing the object model while tracking the objects. We have been investigating to implement accurate object recognition on embedded systems in real-time. In order to apply the cascade particle filter to embedded applications such as surveillance, automotives, and robotics, a hardware accelerator is indispensable because of limitations in power consumption. In this paper we propose a hardware architecture of the cascade particle filter. With our implementation, both the accurate object recognition and real-time processing are possible at an embedded system.
Soft Power: a mídia hollywoodiana e a transmissão dos valores norte-americanos

Este artigo tem como objetivo elaborar um estudo exploratorio a respeito da aplicacao do soft power como estrategia de marketing dos Estados Unidos atraves da industria cinematografica hollywoodiana. Assim sendo, busca mostrar a relacao entre Soft Power e a estrategia de marketing de um pais, intitulada nation branding . O artigo se propoe tambem a comentar a funcao midia no uso do soft power na politica internacional e a seu papel como ator em desenvolvimento nas Relacoes Internacionais, reiterando a importância da midia junto a esfera internacional.
Design and implementation of extended predictive functional control for boiler-turbine unit of power plant

In this paper, a new model predictive controller is introduced to control a power unit process with three inputs and three outputs. This method is proposed to reduce the complexity of the required computation. In fact, the presented controller ensures achieving an acceptable performance in the presence of noise and disturbances and reduces the volume of calculations to control a complex and nonlinear boilerturbine process. The simulation results indicate that the implementation of the proposed controller requires less computing time while the performance degradation is not more than five percent.
Does money lead inflation in the euro area

This paper investigates the properties of monetary and credit aggregates as indicators for future price developments in the euro area. The forecasting performance of models including indicators based on money and credit is assessed in a simulated out-of-sample forecasting exercise for forecast horizons varying from one quarter to three years ahead. The performance of these models is compared with that of models which include indicators based on financial markets, real activity, the labour market and various cost and price measures. The results support the idea that monetary and credit aggregates provide significant and independent information for future price developments in the euro area, especially at medium term horizons JEL Classification: E31, E40, C32
Subcarrier and Power Joint Allocation on the Uplink of Multiuser OFDM Systems (cid:63)

In this paper, we study the subcarriers and power joint allocation on the uplink of multiuser OFDM systems. We propose two subcarrier allocation schemes to improve the uplink capacity: Exhausted Best Channel Allocation(EBCA) and Rounded Best User Allocation(RBUA). The basic idea of EBCA is that subcarriers choose the user, while in RBUA users choose subcarriers. In order to improve the uplink capacity, the distributive power constrains must be considered in the allocation schemes. Simulation results show that the proposed algorithms can enhance the uplink capacity eﬃciently.
A review of volatility and option pricing

The literature on volatility modelling and option pricing is a large and diverse area due to its importance and applications. This paper provides a review of the most significant volatility models and option pricing methods, beginning with constant volatility models up to stochastic volatility. We also survey less commonly known models e.g., hybrid models. We explain various volatility types (e.g., realised and implied volatility) and discuss the empirical properties.
PERFORMANCE ANALYSIS OF ENERGY EFFICIENT CLUSTERING SCHEMES FOR WSN

Clustering enables energy constrained wireless sensor networks to consume less battery power for routing the data packets. In order to achieve the key goal of prolonging the lifetime of sensor nodes besides avoiding undesired frequent topological changes, support from clustering mechanism is much appreciable. While proposing clustering mechanisms, attention is needed the way by which the sensor nodes are deployed over the field of interest. The energy consumed by cluster heads of various clusters to collect and aggregate the sensed data from the non-CH members should be balanced over the network to the possible extent. This can not only overcome faster energy depletion of a certain number of cluster heads and improve the performance of wireless sensor networks. Instead of random selection of cluster heads, it is essential to consider the current status of nodes after each round of data transfer to assign the role of cluster heads. The key factor considered for this is the residual energy of sensor nodes. Besides this approach, uniform sensor node deployment is achievable through grid based clustering techniques. This paper is an attempt to analyze the energy efficiency perspectives of a link quality cum residual energy based clustering mechanism and a virtual-grid based clustering mechanism for efficient routing in energy constrained wireless sensor networks.
Performance Evaluation of Block Device Layer with Automatic Parallelism Tuning Using Heterogeneous IP-SAN Protocols

In our previous work, we have proposed a block device layer called BDL-APT (Block Device Layer with Automatic Parallelism Tuning), which maximizes the performance of heterogeneous IP-SAN protocols in a long-fat network. In this paper, we evaluate the performance of BDL-APT with heterogeneous IP-SAN protocols (i.e., iSCSI, NBD and GNBD) in a long-fat network. We implemented BDL-APT as a layer of MD (Multiple Device) driver, which is one of major software RAID implementations included in the Linux kernel. Through extensive experiments, we demonstrate the effectiveness of BDL-APT with heterogeneous IP-SAN protocols in long-fat networks regardless of IP-SAN protocols.
Mature miR-184 as Potential Oncogenic microRNA of Squamous Cell Carcinoma of Tongue

Purpose: The aim of this study was to evaluate the microRNA expression patterns in squamous cell carcinoma (SCC) of the tongue. Experimental Design: Expression levels of 156 human mature microRNAs were examined using real-time quantitative PCR (Taq Man MicroRNA Assays; Human Panel) on laser microdissected cells of 4 tongue carcinomas and paired normal tissues. Expression of mature miR-184 was further validated in 20 paired tongue SCC and the normal tissues. Potential oncogenic functions of miR-184 were evaluated in tongue SCC cell lines (Cal27, HN21B, and HN96) with miR-184 inhibitor. Plasma miR-184 levels were evaluated using real-time quantitative PCR. Results: Using 3-fold expression difference as a cutoff level, we identified 24 up-regulated mature miRNAs including miR-184, miR-34c, miR-137, miR-372, miR-124a, miR-21, miR-124b, miR-31, miR-128a, miR-34b, miR-154, miR-197, miR-132, miR-147, miR-325, miR-181c, miR-198, miR-155, miR-30a-3p, miR-338, miR-17-5p, miR-104, miR-134, and miR-213; and 13 down-regulated mature miRNAs including miR-133a, miR-99a, miR-194, miR-133b, miR-219, miR-100, miR-125b, miR-26b, miR-138, miR-149, miR-195, miR-107, and miR-139. Overexpression of miR-184 was further validated in 20 paired tongue SCC and normal tissues (P = 0.002). Inhibition of miR-184 in tongue SCC cell lines could reduce cell proliferation rate. Down-regulation of c-Myc was observed in two cell lines in response to miR-184 inhibitor. Suppressing miR-184 could induce apoptosis in all three cell lines. Plasma miR-184 levels were significantly higher in tongue SCC patients in comparison with normal individuals, and the levels were significantly reduced after surgical removal of the primary tumors. Conclusions: Overexpression of miR-184 might play an oncogenic role in the antiapoptotic and proliferative processes of tongue SCC. In addition, plasma miR-184 levels were associated with the presence of primary tumor. Further studies on the aberrantly expressed miRNAs in tongue SCC as well as using plasma miRNAs as novel tumor markers are warranted.
Automated vulnerability scanning and exploitation

Automated vulnerability scanning is often used in professional development environments to find critical security issues. But what if those techniques are applied to scripts available on the internet? Many scripts are shared on sites like Sourceforge and GitHub, but security might not have been a priority during their development. Using a completely automated approach, a large number of these scripts were downloaded, analysed for vulnerabilities, tested, and finally websites using these scripts were searched for. Combining the information gathered during all these steps in this approach, a list can be generated of web servers running vulnerable code and the parameters needed to exploit these. Because each of these steps is completely automated, it is possible to continuously download new or updated scripts, and find vulnerable systems that are open to the internet. During this project, more than 23,000 scripts were downloaded of which more than 2,500 were identified as containing possible vulnerable code. Using the Google search engine, it was possible to find almost 8,000 installations of these vulnerable scripts.
Characterization of aerosol chemical composition with aerosol mass spectrometry in Central Europe: An overview

Abstract. Real-time measurements of non-refractory submicron aerosols (NR-PM1) were conducted within the greater Alpine region (Switzerland, Germany, Austria, France and Liechtenstein) during several week-long field campaigns in 2002–2009. This region represents one of the most important economic and recreational spaces in Europe. A large variety of sites was covered including urban backgrounds, motorways, rural, remote, and high-alpine stations, and also mobile on-road measurements were performed. Inorganic and organic aerosol (OA) fractions were determined by means of aerosol mass spectrometry (AMS). The data originating from 13 different field campaigns and the combined data have been utilized for providing an improved temporal and spatial data coverage. The average mass concentration of NR-PM1 for the different campaigns typically ranged between 10 and 30 μg m−3. Overall, the organic portion was most abundant, ranging from 36% to 81% of NR-PM1. Other main constituents comprised ammonium (5–15%), nitrate (8–36%), sulfate (3–26%), and chloride (0–5%). These latter anions were, on average, fully neutralized by ammonium. As a major result, time of the year (winter vs. summer) and location of the site (Alpine valleys vs. Plateau) could largely explain the variability in aerosol chemical composition for the different campaigns and were found to be better descriptors for aerosol composition than the type of site (urban, rural etc.). Thus, a reassessment of classifications of measurements sites might be considered in the future, possibly also for other regions of the world. The OA data was further analyzed using positive matrix factorization (PMF) and the multi-linear engine ME (factor analysis) separating the total OA into its underlying components, such as oxygenated (mostly secondary) organic aerosol (OOA), hydrocarbon-like and freshly emitted organic aerosol (HOA), as well as OA from biomass burning (BBOA). OOA was ubiquitous, ranged between 36% and 94% of OA, and could be separated into a low-volatility and a semi-volatile fraction (LV-OOA and SV-OOA) for all summer campaigns at low altitude sites. Wood combustion (BBOA) accounted for a considerable fraction during wintertime (17–49% OA), particularly in narrow Alpine valleys BBOA was often the most abundant OA component. HOA/OA ratios were comparatively low for all campaigns (6–16%) with the exception of on-road, mobile measurements (23%) in the Rhine Valley. The abundance of the aerosol components and the retrievability of SV-OOA and LV-OOA are discussed in the light of atmospheric chemistry and physics.