Miracle-dz/UniFAR-FTUs huggingface dataset:
Bioresorbable vascular scaffold implantation in acute coronary syndromes: clinical evidence, tips and tricks

Percutaneous coronary intervention (PCI) with a drug-eluting stent (DES) is routine treatment for patients with acute coronary syndromes (ACS). However, permanent metallic caging of the vessel has several shortcomings, such as side branch jailing and impossibility of late lumen enlargement. Moreover, DES PCI is affected by vasomotion impairment. In ACS a high thrombus burden and vasospasm lead to a higher risk of acute and late acquired stent malapposition than in stable patients. This increases the risk of acute, late and very late stent thrombosis. In this challenging clinical setting, the implantation of bioresorbable vascular scaffolds (BVS) could represent an appealing therapeutic option. Temporary vessel scaffolding has proved to have several advantages over metallic stent delivery, such as framework reabsorption, late lumen enlargement, side branch patency, and recovery of physiological reactivity to vasoactive stimuli. In the thrombotic environment of ACS, BVS implantation has the benefit of capping the thrombus and the vulnerable plaque. Bioresorbable vascular scaffolds also seems to reduce the incidence of angina during follow-up. Acute coronary syndromes patients may therefore benefit more from temporary polymeric caging than from permanent stent platform implantation. The aim of this review is to update the available knowledge concerning the use of BVS in ACS patients, by analyzing the potential pitfalls in this challenging clinical setting and presenting tricks to overcome these limitations.
Midbrain Dopamine Neurons: Projection Target Determines Action Potential Duration and Dopamine D2 Receptor Inhibition

Broad action potentials (APs) and dopamine (DA) D2 receptor (D2R)-mediated inhibition are widely used to identify midbrain DA neurons. However, when these measures are taken alone they do not predict DA content in ventral tegmental area (VTA) neurons. In fact, some VTA neuronal properties correlate better with projection target than neurotransmitter content. Here we report that amygdala (AMYG)-projecting VTA DA neurons have brief APs and lack D2R agonist (quinpirole; 1 μm) autoinhibition. However, they are hyperpolarized by both the GABAB agonist baclofen (1 μm) and the κ-opioid receptor agonist U69593 [(+)-(5α,7α,8β)-N-methyl-N-[7-(1-pyrrolidinyl)-1-oxaspiro[4.5]dec-8-yl]benzeneacetamide; 1 μm]. Furthermore, we show that accurate prediction of DA content in VTA neurons is possible when the projection target is known: in both nucleus accumbens- and AMYG-projecting neural populations, AP durations are significantly longer in DA than non-DA neurons. Among prefrontal cortex-projecting neurons, quinpirole sensitivity, but not AP duration, is a predictor of DA content. Therefore, in the VTA, AP duration and inhibition by D2R agonists may be valid markers of DA content in neurons of known projection target.
A high performance 3D interconnection network for many-core processors

As technology scales, interconnection has played an important role in improving performance and reducing power consumption of CMP. While most of studies are mainly focus on two-dimension (2D) interconnection. With the increase of cores, the traditional 2D network techniques are no longer efficient for many-core processors. Three-dimension (3D) interconnection appears as a promising solution in high performance and power efficient interconnects design. In this paper, we propose a low-diameter 3D interconnection network for many-core processors. In our network, long range links are used to replace multiple short links. The path between any two nodes is no more than 5 hops. All the designs are evaluated by using a cycle-accurate 3D network simulator, and integrated with the Orion power model for performance and power analysis. The results show up to 33.00% latency reduction and 24.39% energy reduction on average compared with canonical 3D mesh network.
Object Class Detection and Classification using Multi Scale Gradient and Corner Point based Shape Descriptors

This paper presents a novel multi scale gradient and a corner point based shape descriptors. The novel multi scale gradient based shape descriptor is combined with generic Fourier descriptors to extract contour and region based shape information. Shape information based object class detection and classification technique with a random forest classifier has been optimized. Proposed integrated descriptor in this paper is robust to rotation, scale, translation, affine deformations, noisy contours and noisy shapes. The new corner point based interpolated shape descriptor has been exploited for fast object detection and classification with higher accuracy.
Universal Context Tree PTH-Order Least Squares Prediction

We examine the sequential prediction of individual sequences under the square error loss using a competitive algorithm framework. Previous work has described a first-order algorithm that competes against a doubly exponential number of piecewise linear models. Using context trees, this first-order algorithm achieves the performance of the best piecewise linear first-order model that can choose its prediction parameters observing the entire sequence in advance, uniformly, for any individual sequence, with a complexity only linear in the depth of the context tree. In this paper, we extend these results to a sequential predictor of order pges1, that asymptotically performs as well as the best piecewise linear p th-order model.
The ROSAT-ESO Flux-Limited X-ray (REFLEX) galaxy cluster survey - II. The spatial correlation function

We report the results of the spatial two-point correlation functioncc(r) for the new X- ray galaxy cluster survey REFLEX, which comprises of 452 X-ray selected clusters (449 with redshifts) detected by the ROSAT satellite during the ROSAT All-Sky-Survey (RASS). The REFLEX cluster sample is flux limited to 3 × 10 12 erg s 1 cm 2 in the ROSAT energy band (0.1 − 2.4 keV) and spans 3 decades in X-ray luminosity (10 42 −10 45 h 2 erg s 1 ), containing galaxy groups and rich clusters out to a redshift z ≤ 0.3. Covering a contiguous area of 4.24 sr REFLEX is the largest X-ray cluster sample to date for which spatial clustering has been analysed. Correlation studies using clusters selected on the basis of their X-ray emission are particularly interesting as they are largely free from the projection biases inherent to optical studies. For the entire flux-limited sample we find that the correlation length (the scale at which the correlation amplitude passes through unity) r0 ≃ 20h 1 Mpc. For example, if a power-law fit is made to �(r) over the range 4 − 40h 1 Mpc then r0 = 18.8 ± 0.9. An indication of the robustness of this result comes from the high degree of isotropy seen in the clustering pattern on scales close to the correlation length. On larger scalescc(r) deviates from a power-law, crossing zero at ≃ 45h 1 Mpc. From an examination of 5 volume-limited cluster sub-samples we find no significant trend of r0 with limiting X-ray luminosity. A comparison with recent model predictions for the clustering properties of X-ray flux-limited samples, indicates that Cold Dark Matter models with the matter density m = 1 fail to produce sufficient clustering to account for the data, while m ≃ 0.3 models provide an excellent fit.
The Contribution of Blood Lactate to Brain Energy Metabolism in Humans Measured by Dynamic 13C Nuclear Magnetic Resonance Spectroscopy

To determine whether plasma lactate can be a significant fuel for human brain energy metabolism, infusions of [3-13C]lactate and 1H-13C polarization transfer spectroscopy were used to detect the entry and utilization of lactate. During the 2 h infusion study, 13C incorporation in the amino acid pools of glutamate and glutamine were measured with a 5 min time resolution. With a plasma concentration ([Lac]P) being in the 0.8–2.8 mmol/L range, the tissue lactate concentration ([Lac]B) was assessed as well as the fractional contribution of lactate to brain energy metabolism (CMRlac). From the measured relationship between unidirectional lactate influx (Vin) and plasma and brain lactate concentrations, lactate transport constants were calculated using a reversible Michaelis–Menten model. The results show that (1) in the physiological range, plasma lactate unidirectional transport (Vin) and concentration in tissue increase close to linearly with the lactate concentration in plasma; (2) the maximum potential contribution of plasma lactate to brain metabolism is 10% under basal plasma lactate conditions of ∼1.0 mmol/L and as much as 60% at supraphysiological plasma lactate concentrations when the transporters are saturated; (3) the half-saturation constant KT is 5.1 ± 2.7 mmol/L and VMAX is 0.40 ± 0.13 μmol · g−1 · min−1 (68% confidence interval); and (4) the majority of plasma lactate is metabolized in neurons similar to glucose.
tRNAs as regulators of biological processes

Transfer RNAs (tRNA) are best known for their role as adaptors during translation of the genetic code. Beyond their canonical role during protein biosynthesis, tRNAs also perform additional functions in both prokaryotes and eukaryotes for example in regulating gene expression. Aminoacylated tRNAs have also been implicated as substrates for non-ribosomal peptide bond formation, post-translational protein labeling, modification of phospholipids in the cell membrane, and antibiotic biosyntheses. Most recently tRNA fragments, or tRFs, have also been recognized to play regulatory roles. Here, we examine in more detail some of the new functions emerging for tRNA in a variety of cellular processes outside of protein synthesis.
1 The GloBAl eCoNomiC impACT oF demeNTiA Alzheimer ’ s diseAse internAtionAl World Alzheimer report 2010 the GlobAl economic impAct of dementiA

Acknowledgements professor Bengt Winblad (Karolinska institutet, Stockholm, Sweden) and dr linus Jönsson (i3 innovus and Karolinska institutet, Stockholm, Sweden) have contributed significantly to the methodological development in the cost estimates. Swedish Brain power (SBp) provided unrestricted financial support for the work of Anders Wimo for this study. Alzheimer's Association (US) for support with reviewing and launching this report. Cover image Ana de Jesus de Bido, a pastor and geriatrician, and her physician husband run a care facility in the Villa Francisca barrio in Santo domingo, dominican republic. here she was on a home visit with 82-year-old Ana luisa Candelario, who cares for her 92-year-old husband. Ana luisa takes little care of herself, often not eating, and pastor Ana consoled her and explained the importance of caregivers taking care of themselves.
On the progenitors of double neutron star systems

We discuss models for calculating the late stages of high-mass binary evolution. Our discussion is based on evo- lutionary calculations for initial binaries composed of a main- sequence star of mass range 8 to 30 M with a neutron star companion. The evolution of the primary is followed with the grids of Schaller et al. (1992) until the two stars interact, and simple analytic ts for helium and carbon-oxygen stars. For non-conservative mass transfer phases, two physical processes are considered: ejection of the excess overflowing matter in the form of jets from the neutron star and common envelope (CE) evolution.Foreachmodel,thecodeallowsustondtheprogen- itors of the four known double neutron star systems (NS-NS) in the disk of the Galaxy. We show that the observed parame- ters of PSR 1913+16 and PSR 1534+12 are consistent with one or two stages of mass transfer. In contrast, the wide orbits of PSR 2303+46 and PSR J1518+49 are the most difcult to re- produce since a moderate orbital shrinkage is required through aCEphase.Inparticular,thelikelihoodoftheformationofPSR J1518+49 appears to be very sensitive to the adopted formalism for CE-evolution.
The definition of a musician in music psychology: A literature review and the six-year rule

The aim of this paper was to investigate if a general consensus could be established for the term “musician. ” Research papers (N = 730) published between 2011 and 2017 were searched. Of these, 95 papers were identified as investigating relationships of any sort connected with a musician-like category (e.g., comparison of musically trained vs. non-musically trained people), of which 39 papers detailing comparative studies exclusively between musicians and non-musicians were analyzed. Within this literature, a variety of musical expertise criteria were used to define musicians, with years of music training (51% of papers) and years of music lessons (13% of papers) being the most commonly used criteria. Findings confirm a general consensus in the literature, namely, that a musician, whether or not selected a priori, has at least six years of musical expertise (IQR = 4.0–10.0 years). Other factors such as practice time and recruiting location of musicians were also analyzed, as well as the implications of how this definition fits in relation to the complexities surrounding the construct of the musician. The “six-year rule,” however, was robust overall.
Noncontact Distance and Amplitude-Independent Vibration Measurement Based on an Extended DACM Algorithm

Utilizing microwave continuous-wave Doppler radars to wirelessly detect mechanical vibrations have been attracting more and more interests in recent years. In this paper, aiming to solve the null point and nonlinear issues in small-angle approximation-based Doppler radar sensors and eliminate the codomain restriction in the arctangent demodulation approach, we propose and investigate an extended differentiate and cross-multiply (DACM) algorithm. With an additional accumulator, the noise performance of the original DACM algorithm is improved. Moreover, the amplitude information of the vibration can be directly retrieved from accumulation without involving any distance-dependent issue. Experimental validations show that the proposed algorithm can fully recover the vibration patterns with the measured noncalibrated amplitude agreeing well with the known precalibrated data. Application examples of mechanical fault detection and human vital sign detection are demonstrated, showing a wide range of potential applications of this algorithm.
Indoor localization of ubiquitous heterogeneous devices

We investigated the particular case of heterogeneous devices used in location based applications. The results suggest applying relative signal strength readings to overcome variations in the wireless characteristics of different devices. An experiment was used to determine an optimum data collection interval. Finally, a full end-to-end reference implementation is constructed. The results show that heterogeneous commodity devices can achieve good localization without a calibration period or expert site surveying.
A method to assess collaboration during the learning by means of video games

Although many studies have focused on the quality of the solution (learning achieved by the student during the learning process), we think that it is important to assess the process to achieve this solution (activities and relations carried out during the learning process). Our proposal is intended to achieve measurements as quantitative as possible about the group work during the learning process in order to study the relations that appear inside the groups. To do this, in this paper we present a method to determine the context in which messages occur in order to classify them according our message categorization. The analysis of the collaboration process carried out during the learning process or in our case, during the playing process, can be easier if including the context in which these tasks were carried out.
Family Sessions as Part of Child Psychological Assessment: Goals, Techniques, Clinical Utility, and Therapeutic Value

Including a family session in a child assessment can significantly advance the assessor's and parents' understanding of the child's problems and enhance the likelihood that parents will follow through on recommendations after the assessment. A family session allows the assessor to observe the child in the family context, test systemic hypotheses, better understand the meaning of individual test results, and try out possible interventions. A family session may also help parents see systemic aspects of their child's problems, help the child feel less blamed, foster positive experiences among family members, and offer the family a glimpse of family therapy. We describe methods and techniques for structuring family sessions and offer guidance on preparing for and conducting such sessions depending on one's case conceptualization. Detailed case examples illustrate each technique and demonstrate the immediate and subsequent impact of family sessions as well as their therapeutic value. We also address common clinical and pragmatic issues.
Biomass-Derived Carbon Fiber Aerogel as a Binder-Free Electrode for High-Rate Supercapacitors

A flexible carbon fiber aerogel with a very high surface area for supercapacitor application is reported by carbonization and chemical activation of low-cost natural cotton with KOH. The carbon fibers in the aerogel present as a twisted and tubular structure. Depending on the amount of KOH used in the activation process, the specific surface area of aerogels ranges from 1536 to 2436 m2 g–1, while their electrical conductivity remains ∼860 S m–1. In spite of pore size in the range of 1.0–4.0 nm and pore volume mainly contributed by micropores, the carbon aerogel exhibits a high specific capacitance of 283 F g–1 (1 A g–1) in 6 M KOH aqueous electrolyte and retains a high capacitance retention of 224 F g–1 at current density up to 100 A g–1. Importantly, a symmetric capacitor built with the aerogel electrodes exhibits a rather small time constant (0.56 s). The superior capacitive performance of a CF electrode is closely related to its distinct structural advantage. The tubular carbon fibers that are several .
YASCA: A collective intelligence approach for community detection in complex networks

Rushed Kanawati, University of paris Sorbonne Cit´e1. INTRODUCTIONComplex networks are frequently used for modeling interactions in real-world systems in diverse ar-eas, such as sociology, biology, information spreading and exchanging, scientometrics and many otherdifferent areas. One key topological feature of real-world complex networks is that nodes are arrangedin tightly knit groups that are loosely connected one to each other. Such groups are called communities.Nodes composing a community are generally admitted to share common proprieties and/or be involvedin a same function and/or having a same role. Hence, unfolding the community structure of a networkcould give us much insights about the overall structure a complex network.We distinguish between two different problems: partitioning the whole graph into (eventually over-leaping) communities [Fortunato 2010] and identifying ego-centered communities for a given querynode [Kanawati 2014a]. In this work we propose a new algorithm, YASCA, that use local communityidentiﬁcation in order to compute a global graph partition into communities. The algorithm belongsto the seed centric algorithms family [Kanawati 2014b]. The basic idea of seed centric algorithms isto select a set of nodes (i.e. seeds) around which communities are constructed. Being based on localcomputations, these approaches are very attractive to deal with large-scale and/or dynamic networks.Different algorithms apply different policies for seed selection and for community construction aroundseeds. The number of seed nodes can be pre-determined [Khorasgani et al. 2010] or computed by theapproach itself [Kanawati 2011]. The seed selection process can be : random [Khorasgani et al. 2010] orinformed [Kanawati 2011]. The community construction can be made applying consensus techniques,expansion techniques or agglomeration techniques [Kanawati 2011]. Next we propose an original seedcentric approach that apply an ensemble clustering approach [Strehl and Ghosh 2003] to differentnetwork partitions derived from ego-centered communities computed for each selected seed.2. YASCA: THE PROPOSED ALGORITHMThe YASCA
The study of bandwidth and dual-band for near field broadband electric field coupling antenna

The near-field broadband electric field coupling antenna has many remarkable advantages, such as simple operation, safe connection and high efficient transmission of large capacity data. In recent years, it has been widely used in many fields. The TranferJet™ antenna mentioned in this paper is a typical representative of the high-speed near-field wireless technology. The target of broadening bandwidth and dual-band has been come true by transforming the form of the micro-strip line and coupled electrode. It shows the performance of the improved antenna employing 3D electromagnetic simulation software to simulate.
Educational Opportunities for Clinical Counseling Simulations in Second Life

Traditionally, human services counseling (HSC) training programs have relied upon face-to-face interactions, including such methods as simulated counseling sessions and live supervision, to teach interpersonal and clinical skills. Concerns about the ability of online media to facilitate the interpersonal interaction needed to teach discipline-specific skills has delayed adoption of online learning for these programs (Jaffee 1998; Patrick 2004). In fact, some HSC programs have resisted online education because of the perceived inability of the medium to provide the same quality of instruction as the face-to-face environment (Granello 2000; Greenidge and Daire 2005; Lambert 1988; Walker 2009a).
Laparoscopic-Assisted Percutaneous Endoscopic Transgastrostomy Jejunostomy

Background and Objectives: New therapeutic protocols for patients with end-stage Parkinson disease include a carbidopa/levodopa combination using continuous, modulated enteral administration via a portable pump. The typical approach involves a percutaneous endoscopic transgastrostomy jejunostomy (PEG-J), which requires a combination of procedures designed to ensure that no organ is interposed between the abdominal wall and the gastric surface. Lack of transillumination in maximal endoscopic light settings is a major contraindication for PEG-J, and we decided to use a different approach to establish enteric access for long-term medication delivery via pump, using a minimally invasive procedure. Methods: In all patients, we performed a laparoscopic-assisted percutaneous transgastrostomy jejunostomy (LAPEG-J) after an unsuccessful endoscopic transillumination. Results: Five patients with end-stage Parkinson disease were referred to our department after successful therapeutic testing with administration of levodopa/carbidopa via naso-jejunal tube. All patients failed the endoscopic transillumination during the endoscopic procedure and were considered for LAPEG-J. In all patients, the LAPEG-J procedure was uneventful. The most common reason identified for failed transillumination was a high position of the stomach, followed by interposition of the liver or colon between the stomach and anterior abdominal wall. There were no complications regarding the LAPEG-J procedure, and all patients were discharged during the second postprocedural day. Conclusions: LAPEG-J provides a simple and safe option for placing a jejunostomy after an unsuccessful PEG-J attempt.