Miracle-dz/UniFAR-FTUs huggingface dataset:
Cardiovascular risk associated with androgen deprivation therapy.

Prostate cancer is the second leading cause of cancer-related death among men in the United States. [1] Androgen deprivation therapy (ADT) is a common treatment for prostate cancer. ADT includes gonadotropin-releasing hormone (GnRH) agonists (leuprolide, goserelin, triptorelin), bilateral orchiectomy, and anti-androgen receptor blockers such as flutamide and bicalutamide. Several studies have now shown conflicting evidence that anti-androgen therapy may lead to increased cardiovascular morbidity and mortality. [2-5] None of these studies has provided conclusive evidence for causality or a direct link to cardiovascular disease, but they have proposed that therapy side-effects increase parameters that are similar to those of the metabolic syndrome.
Data gathering for a culture specific approach in MIR

In this paper we describe the data gathering work done within a large research project, CompMusic, which emphasizes a culture specific approach in the automatic description of several world music repertoires. Currently we are focusing on the Hindustani (North India), Carnatic (South India) and Turkish-makam (Turkey) music traditions. The selection and organization of the data to be processed for the characterization of each of these traditions is of the utmost importance.
Advantages for Transdermal over Oral Oxybutynin to Treat Overactive Bladder: Muscarinic Receptor Binding, Plasma Drug Concentration, and Salivary Secretion

To clarify pharmacological usefulness of transdermal oxybutynin in the therapy of overactive bladder, we have characterized muscarinic receptor binding in rat tissues with measurement of plasma concentrations of oxybutynin and its metabolite N-desethyl-oxybutynin (DEOB) and salivation after transdermal oxybutynin compared with oral route. At 1 and 3 h after oral administration of oxybutynin, there was a significant increase in apparent dissociation constant (Kd) for specific [N-methyl-3H]scopolamine ([3H]NMS) binding in the rat bladder, submaxillary gland, heart, and colon compared with control values. Concomitantly, submaxillary gland and heart showed a significant decrease in maximal number of binding sites (Bmax) for [3H]NMS binding, which lasted until 24 h. Transdermal application of oxybutynin caused dose-dependent increases in Kd values for specific [3H]NMS binding in rat tissues. The increment of Kd values by transdermal oxybutynin was dependent on the application time. Plasma concentrations of oxybutynin and DEOB peaked at 1 h after oral oxybutynin. In contrast, plasma concentrations of oxybutynin increased slowly, depending on the transdermal application time of this drug until 12 h. Suppression of pilocarpine-induced salivation in rats due to transdermal oxybutynin was significantly weaker and more reversible than that by oral oxybutynin, which abolished salivary secretion. The present study has shown that transdermal oxybutynin binds significantly to rat bladder muscarinic receptors without producing both long-lasting occupation of exocrine receptors and cessation of cholinergic salivation evoked by oral oxybutynin. Thus, the present study provides further pharmacological basis for advantage of transdermal over oral oxybutynin in the therapy of overactive bladder.
Generalized Super-Twisting Observer for Nonlinear Systems

Abstract In this paper it is proposed a novel Lyapunov based design of a generalized Super- Twisting Observer for a class of 2-dimensional nonlinear system. The observer can deal with systems whose states are composed of bounded nonlineaer functions. This is the main difference with the classical Super-Twisting observer, in which the second state is only the derivative of the . rst state. Working with a Strong Lyapunov Function it can be shown sufficient conditions to properly choose the observer gains to ensure . nite time convergence to the real states. The obsrver is tested in a mathematical model regarding to the reduced Glucose-Insulin process. The numerical results have shown a better performance of the observer with lineal compensators in comparison to the classical Super-Twisting Observer. The gains for the observer are designed in order to compensate a more general class of perturbations that appear in the suggested glucose-insuline nonlinear model.
Radar signal classification algorithms synthesis and analysis

The main role in the task of process remote sensing data of the Earth surface are played algorithms of forming and classification those data. From the statistical point of view the solution is based on the maximum-likelihood method. The paper presents analytical equations for likelihood coefficients and the structural scheme of their forming in the solution of radar signal recognition. To analyze the efficiency of the proposed algorithms are found boundary equations for probability calculating of correct signals with the usage of Chernoff-Kailath ratios. This ratios evaluate the upper and lower probability boundaries of correct and incorrect decisions in the case of classification of optional class number from different type surfaces.
A 2 W GaAs Doherty power amplifier for WiMAX applications

This paper presents a GaAs Doherty power amplifier (DPA), designed and implemented at 5.6 GHz, for WiMAX applications. The designed DPA uses two identical 1 W packaged GaAs HEMTs for the main and peaking amplifiers. A maximum output power of 34.4 dBm (2.8 W) was measured, with a maximum power-added efficiency of PAE = 31% (η = 42%). The efficiency was maintained higher than PAE = 23% (η = 29%), over 6 dB of output back-off range, and higher than PAE = 16% (η = 21%) over 10 dB output back-off. The linearity performance of the designed Doherty PA was experimentally tested with a 9-carrier, 64-QAM digitally modulated signal with a peak-to-average-power ratio of PAR = 9.6 dB. An adjacent-channel-leakage ratio of ACLR = −33 dBc was measured at an average output power of Pout, avg. = 24 dBm. To the best knowledge of the authors, this is the first Doherty PA designed and implemented in the 5 – 6 GHz frequency range, in hybrid technology.
Identification of related genes in phages phi 80 and P22 whose products are inhibitory for phage growth in Escherichia coli IHF mutants

Bacteriophage lambda grows in both IHF+ and IHF- host strains, but the lambdoid phage phi 80 and hybrid phage lambda (QSRrha+)80 fail to grow in IHF- host strains. We have identified a gene, rha, in the phi80 region of the lambda(QSRrha+)80 genome whose product, Rha, inhibits phage growth in an IHF- host. A search of the GenBank database identified a homolog of rha, ORF201, a previously identified gene in phage P22, which similarly inhibits phage growth in IHF- hosts. Both rha and ORF201 contain two possible translation start sites and two IHF binding site consensus sequences flanking the translation start sites. Mutations allowing lambda (QSRrha+)80 and P22 to grow in IHF- hosts map in rha and ORF201, respectively. We present evidence suggesting that, in an IHF+ host, lambda(QSRrha+)80 expresses Rha only late in infection but in an IHF- host the phage expresses Rha at low levels early in infection and at levels higher than those in an IHF+ host late in infection. We suspect that the deregulation of rha expression and, by analogy, ORF201 expression, is responsible for the failure of phi80, lambda(QSRrha+)80, and P22 to grow in IHF mutants.
Visible to near infrared conversion in Ce3+-Yb3+ Co-doped YAG ceramics

The energy transfer from Ce<sup>3+</sup> to Yb<sup>3+</sup> in Ce<sup>3+</sup>-Yb<sup>3+</sup>:YA G (Y <inf>3</inf>Al<inf>5</inf>O<inf>12</inf>) ceramics was observed. While the energy transfer efficiency estimated from the lifetime was about 48%, the observed quantum yield of Yb<sup>3+</sup> emission was about 11% upon Ce<sup>3+</sup> excitation in the sample.
FOS-like antigen 1 is a prognostic biomarker in hepatocellular carcinoma

Background/Aim: The prognosis of hepatocellular carcinoma (HCC) is very dismal and the targeted drugs of HCC are limited. Studies of HCC prognostic biomarkers have made little progress, though many new techniques such as high-throughput sequencing have been applied. FOS-like antigen 1 (FOSL1) is generally accepted as a proto-oncogene but its clinical significance in HCC has never been elucidated. Materials and Methods: In our study, we investigated the expression of FOSL1 in 114 paraffin-embedded HCC tissues, and detected FOSL1 mRNA levels in 20 pairs of fresh HCC tissues and their corresponding tumor adjacent tissues. The correlations between FOSL1 expression and clinicopathological factors were analyzed and the prognostic significance of FOSL1 was evaluated with univariate and multivariate analysis. Moreover, we detected the function of FOSL1 in HCC proliferation with experiments in vitro. Results: FOSL1 mRNAs in HCCs were significantly higher than those in tumor adjacent tissues. The percentage of high expression and low expression of FOSL1 accounted for 46% (53/114) and 54% (61/114), respectively. High expression of FOSL1 was significantly associated with larger tumor size (P = 0.021), hepatitis B virus infection (P = 0.014), advanced T stage (P = 0.014), and tumor necrosis metastasis stage (P = 0.014). Moreover, high expression of FOSL1 was significantly correlated with poor prognosis of HCC and could be identified as an independent prognostic biomarker of HCC (hazard ratio = 5.60, 95% confidence interval = 3.00–10.45, P < 0.001). With in vitro function assay, we demonstrated that FOSL1 played an essential role in HCC proliferation. Conclusions: High expression of FOSL1 is an independent risk factor of HCC predicting unfavorable prognosis, indicating that FOSL1 detection could stratify patients with high risk, and anti-FOSL1 therapy may be a promising way to treat HCC.
1200V reverse blocking IGBT with low loss for matrix converter

This paper presents, for the first time, the design concepts of an isolation type 1200 V reverse blocking IGBT (RB-IGBT) for matrix converters. The device features thin wafer technology and a deep boron diffusion technique. From experimental results, it has been found that the 1200 V RB-IGBT attains about 20% reduction in total generated loss when compared to the combination of the IGBT and the diode, while keeping improved blocking capability with both polarities. A high efficiency matrix converter can be achieved by using the RB-IGBTs and this has a great possibility to replace the conventional DC-linked-type circuits.
Class II MHC antigens in early rheumatoid arthritis in Bath (UK) and Madrid (Spain).

OBJECTIVE A number of studies have indicated that rheumatoid arthritis (RA) is a less severe disease in Mediterranean countries than in Northern Europe. We investigated whether differences in the frequency of class II MHC antigens might contribute to this variation in disease severity. METHODS Typing at HLA-DR and -DQ loci was carried out at low and high resolutions by polymerase chain reaction amplification in patients with early RA of less than 6 months' duration (68 patients in Madrid and 68 in Bath) and in control subjects (929 in Madrid and 226 in Bath). Only ethnic Spanish and British individuals were included as patients and controls. RESULTS Shared epitope (SE) alleles represented 19.8 and 28.9% of the total number of class II MHC alleles in controls from Madrid and Bath respectively (P: = 0.00001), this difference being largely due to increased numbers of DRB1*0401 individuals in the British subjects (P: = 0.0000001). Analysis of the patients showed the expected increase in SE alleles when compared with their respective control groups (Madrid, 31.6 vs 19.8%; Bath, 42.6 vs 28. 9%). In Bath the SE was mainly encoded by HLA-DR4 alleles (74.1%), while in Madrid it was encoded almost equally by DR4 (51.1%) and DR1 (44.7%) alleles. The risk of developing RA in carriers of SE alleles was similar in the two cities (Bath, odds ratio 1.83, 95% confidence interval 1.23-2.78; Madrid, odds ratio 1.87, 95% confidence interval 1.25-2.77), and was largely accounted for by HLA-DRB1*0401 alleles. CONCLUSION We conclude that rheumatoid patients in Bath differ from their Spanish counterparts in class II antigen expression and allele frequency. This may be explained partly by genetic differences between the control populations in the two centres, and may help to explain the greater incidence of more severe rheumatoid disease expression seen in RA patients in the UK.
Antiarrhythmic effect of desethylamiodarone in conscious rats

The effect of desethylamiodarone, a metabolite of amiodarone, was studied in the early phase of arrhythmias induced by coronary artery ligation in conscious rats. Desethylamiodarone pretreatment improved survival without altering the occurrence of different types of arrhythmias during the first 20 min after coronary ligation. It was concluded that desethylamiodarone may contribute to the antiarrhythmic effect seen after chronic amiodarone treatment.
Adaptive node and power simultaneous scheduling strategy for target tracking in distributed multiple radar systems

In this paper, we consider an adaptive node and power simultaneous scheduling (ANPSS) strategy for target tracking in distributed multiple radar systems. For all of the available nodes, with full resources allocation, minimizing estimation mean-square error (MSE) may exceed the predetermined system tracking performance goal and cause unnecessary resources consumption. Therefore, tracking performance driven resource allocation schemes for multiple radar systems are proposed. For a predefined estimation MSE threshold, the total transmitted energy is minimized by optimally scheduling node and power resources with the required tracking accuracy. For a given total power budget, the attainable tracking MSE is minimized by optimizing node and power allocation among the transmit radars. The Bayesian Cramer-Rao lower bound (BCRLB) is used as a performance metric. The resulting optimization problems are solved through Zoutendijk method of feasible directions (ZMFD). Numerical results demonstrate that significant resource savings could be obtained through the proposed schemes.
Repeatability of diagnostic features and scoring systems for hepatocellular carcinoma by using MR imaging.

PURPOSE To determine for expert and novice radiologists repeatability of major diagnostic features and scoring systems (ie, Liver Imaging Reporting and Data System [LI-RADS], Organ Procurement and Transplantation Network [OPTN], and American Association for the Study of Liver Diseases [AASLD]) for hepatocellular carcinoma (HCC) by using magnetic resonance (MR) imaging. MATERIALS AND METHODS Institutional review board approval was obtained and patient consent was waived for this HIPAA-compliant, retrospective study. The LI-RADS discussed in this article refers to version 2013.1. Ten blinded readers reviewed 100 liver MR imaging studies that demonstrated observations preliminarily assigned LI-RADS scores of LR1-LR5. Diameter and major HCC features (arterial hyperenhancement, washout appearance, pseudocapsule) were recorded for each observation. LI-RADS, OPTN, and AASLD scores were assigned. Interreader agreement was assessed by using intraclass correlation coefficients and κ statistics. Scoring rates were compared by using McNemar test. RESULTS Overall interreader agreement was substantial for arterial hyperenhancement (0.67 [95% confidence interval {CI}: 0.65, 0.69]), moderate for washout appearance (0.48 [95%CI: 0.46, 0.50]), moderate for pseudocapsule (0.52 [95% CI: 050, 0.54]), fair for LI-RADS (0.35 [95% CI: 0.34, 0.37]), fair for AASLD (0.39 [95% CI: 0.37, 0.42]), and moderate for OPTN (0.53 [95% CI: 0.51, 0.56]). Agreement for measured diameter was almost perfect (range, 0.95-0.97). There was substantial agreement for most scores consistent with HCC. Experts agreed significantly more than did novices and were significantly more likely than were novices to assign a diagnosis of HCC (P < .001). CONCLUSION Two of three major features for HCC (washout appearance and pseudocapsule) have only moderate interreader agreement. Experts and novices who assigned scores consistent with HCC had substantial but not perfect agreement. Expert agreement is substantial for OPTN, but moderate for LI-RADS and AASLD. Novices were less consistent and less likely to diagnose HCC than were experts.
Joint Information Extraction and Compression of Satellite Image Time Series

Ces derniers temps, de nouvelles donnees riches en information ont ete produites : les Series Temporelles d'Images Satellitaires qui permettent d'observer les evolutions de la surface de la Terre. Ces series constituent un grand volume de donnees et elles contiennent des informations complexes et d'interet. Par exemple, de nombreux evenements spatio-temporels, tels que les recoltes, la maturation de cultures ou l'evolution de zones urbaines, peuvent y etre observes et sont utiles pour des problematiques de tele-surveillance. Dans ce contexte, cette these se propose d'extraire l'information automatiquement pour aider a la comprehension des evenements spatio-temporels et de compresser pour limiter l'espace de stockage. Aussi l'objectif majeur de ces travaux consiste en la conception d'une methodologie incorporant conjointement l'extraction d'information et la compression. Ce traitement conjoint nous permet d'obtenir une representation compacte des Series Temporelles d'Images Satellitaires qui contienne un index du contenu informationnel. Plus precisement, ces travaux decrivent dans un premier temps le concept d'extraction et de compression conjointes ou l'extraction est vue comme une compression avec pertes de l'information. Dans un second temps, deux methodologies elaborees a partir du concept precedent sont presentees. La premiere permet de construire un index du contenu informationnel en se fondant sur le principe d'Information Bottleneck. La seconde permet de construire un code ou une representation compacte qui integre un index du contenu informationnel. Finalement, ces deux methodes sont validees et comparees sur des donnees synthetiques et sont par la suite appliquees avec succes aux Series Temporelles d'Images Satellitaires.
A 7.1fJ/conv.-step 88dB-SFDR 12b SAR ADC with energy-efficient swap-to-reset

In this work, a novel DAC reset scheme for SAR ADCs is proposed, which eliminates the reset energy consumption. This reset energy consumption can be significant and is seldom optimized in low power switching schemes. The scheme can be applied to all differentially reset and switched DACs. This `swap-to-reset' operation is applied to the 2 MSBs of a 12b SAR ADC fabricated in 65nm CMOS, resulting in an energy saving of 33% for the DAC or 18% for the whole ADC. Besides swapping, rotation is also applied to the 2 MSBs of the DAC to enhance the linearity to 88dB SFDR. The SAR ADC operates at 0.8V VDD and 40kS/s, achieving an SNDR of 64.2dB and a FoM of 7.1fJ/conversion-step.
Improvement of Accessibility in Eastern Europe due to Implementation of Road Projects in the Via Carpatia Corridor

The main objective of the present study is to assess the possible impact of the completed Via Carpatia route on changes in potential accessibility. The auxiliary objectives are: a) comparison of the effects of creating the entire route in selected regions and cities (in particular peripherally located medium-sized centres), and b) comparison of the effects of implementation of particular sections of the future undertaking. The eastern peripheries of the European Union remain, in a large part, an area with development opportunities reduced by the lagging transport infrastructure, as this is expressed by lower level of spatial accessibility indicators. The analysis here presented confirmed that the construction of the new corridors (here: Via Carpatia route) can improve this situation. However, the possible positive investment effect is selective in the territorial sense. It is also dependent on other investments, including routes having east-west and oblique orientations.
Pareto-Front Analysis and AdaBoost for Person Detection Using Heterogeneous Features

In this paper, a boosted cascade person detection framework with heterogeneous pool of features is presented. The framework unveils a new feature selection scheme based on Pareto-Front analysis and AdaBoost. At each cascade node, Pareto-Front analysis is used to select dominant features thereby reducing the total number of features to a size easily manageable by AdaBoost. The final detector achieves a very low Miss Rate of 0.07 at 10-4 False Positives Per Window on the INRIA public dataset.
Regulated Localization of Rab18 to Lipid Droplets

Rab GTPases are crucial regulators of membrane traffic. Here we have examined a possible association of Rab proteins with lipid droplets (LDs), neutral lipid-containing organelles surrounded by a phospholipid monolayer, also known as lipid bodies, which have been traditionally considered relatively inert storage organelles. Although we found close apposition between LDs and endosomal compartments labeled by expressed Rab5, Rab7, or Rab11 constructs, there was no detectable labeling of the LD surface itself by these Rab proteins. In contrast, GFP-Rab18 localized to LDs and immunoelectron microscopy showed direct association with the monolayer surface. Green fluorescent protein (GFP)-Rab18-labeled LDs underwent oscillatory movements in a localized area as well as sporadic, rapid, saltatory movements both in the periphery of the cell and toward the perinuclear region. In both adipocytes and non-adipocyte cell lines Rab18 localized to a subset of LDs. To gain insights into this specific localization, Rab18 was co-expressed with Cav3DGV, a truncation mutant of caveolin-3 shown to inhibit the catabolism and motility of lipid droplets. GFP-Rab18 and mRFP-Cav3DGV labeled mutually exclusive subpopulations of LDs. Moreover, in 3T3-L1 adipocytes, stimulation of lipolysis increased the localization of Rab18 to LDs, an effect reversed by β-adrenergic antagonists. These results show that a Rab protein localizes directly to the monolayer surface of LDs. In addition, association with the LD surface was increased following stimulation of lipolysis and inhibited by a caveolin mutant suggesting that recruitment of Rab18 is regulated by the metabolic state of individual LDs.
Improving the Applicability of Bayesian Networks through Production Rules

One of the key challenges in constructing a Bayesian network BN is defining the node probability tables (NPT). For large-scale BN, learning NPT through domain experts knowledge elicitation is unfeasible. Previous works proposed solutions to this problem using the concept of ranked nodes; however, they have limited modeling capabilities or rely on BN experts to apply them, reducing their applicability. In this paper, we present an expert system based on production rules to define NPTs with the purpose of enabling the definition of NPTs by experts with no ranked nodes-specific knowledge. To create the rules, we elicited data from an expert in ranked nodes. To validate our approach, we executed an experiment with a BN already published in the literature to verify if, with our approach, a practitioner can achieve the same or better configuration for the NPTs. We used the Brier score to assess the NPTs accuracy and evaluated the results with the Wilcoxon test. All the Wilcoxon tests executed rejected the null hypotheses that stated that the Brier scores for the original NPTs method were the same as the new NPTs. By using our solution, a practitioner can accurately define NPTs without understanding the concept of ranked nodes.