Miracle-dz/UniFAR-FTUs huggingface dataset:
THE LICK AGN MONITORING PROJECT 2011: DYNAMICAL MODELING OF THE BROAD-LINE REGION IN Mrk 50

We present dynamical modeling of the broad-line region (BLR) in the Seyfert 1 galaxy Mrk 50 using reverberation mapping data taken as part of the Lick AGN Monitoring Project (LAMP) 2011. We model the reverberation mapping data directly, constraining the geometry and kinematics of the BLR, as well as deriving a black hole mass estimate that does not depend on a normalizing factor or virial coefficient. We find that the geometry of the BLR in Mrk 50 is a nearly face-on thick disk, with a mean radius of 9.6+1.2−0.9 light days, a width of the BLR of 6.9+1.2−1.1 light days, and a disk opening angle of 25 ± 10 deg above the plane. We also constrain the inclination angle to be 9+7−5 deg, close to face-on. Finally, the black hole mass of Mrk 50 is inferred to be log10(MBH/M☉) = 7.57+0.44−0.27. By comparison to the virial black hole mass estimate from traditional reverberation mapping analysis, we find the normalizing constant (virial coefficient) to be log10f = 0.78+0.44−0.27, consistent with the commonly adopted mean value of 0.74 based on aligning the MBH–σ* relation for active galactic nuclei and quiescent galaxies. While our dynamical model includes the possibility of a net inflow or outflow in the BLR, we cannot distinguish between these two scenarios.
controlled release of raloxifene by nanoencapsulation: effect on in vitro antiproliferative activity of human breast cancer cells

: Raloxifene hydrochloride (RH) is considered to be an antiproliferative agent of mammary tissue. The aim of this study was to investigate the effect of the encapsulation of RH in polymeric nanocapsules with anionic or cationic surface on its release profile and antiproliferative activity. They were prepared by interfacial deposition of preformed polymer, followed by wide physicochemical characterization. The in vitro RH release was assessed by the dialysis membrane method and the data analyzed by mathematical modeling. The antiproliferative effect on MCF-7 cell viability was investigated by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay as well as by counting viable cells. They had high encapsulation efficiency, low polydispersity, and nanometric mean size. Nanocapsules prepared with Eudragit ® RS100 and Eudragit ® S100 presented positive and negative zeta potentials, respectively. Drug release studies demonstrated controlled release of RH from anionic nanocapsules, which could be explained due to a stronger interaction of the drug to these nanocapsules and the larger amount of entrapped drug. On the other hand, this control was not observed from cationic nanocapsules due to the larger amount of drug adsorbed onto their surface. MCF-7 cell viability studies and cell counting showed that RH-loaded Eudragit ® RS100 nanocapsules promote the best antiproliferative activity after 24 hours of treatment, whereas the best activity was observed for RH-loaded Eudragit ® S100 nanocapsules after 72 hours. Furthermore, the combined treatment of these formulations improved the antiproliferative effect during the entire treatment.
Intrusion Detection for Attaining Rapid Performance Using PK-Medoid-HHNN Technique.

Over past decade computer networks have a rapid growth, but computer security became a critical problem for computer systems. Thus in recent years various soft computing technique based methods were proposed to detect the growth of intrusion. Also many researchers have reported that large set of pattern classifications and machine learning algorithms are trained and tested for knowledge discovery in intrusion detection with dataset. These above mentioned mechanism are not more unsuccessful in finding client to root and remote to local attacks. Moreover Hyperbolic Hopfield Neural Network based IDS detection system has stability, detection ratio, particularly low-frequent attacks apart from this this mechanism still has concerns in its performance improvement. Thus this paper proposes a new method known as Potential K-Medoid-HHNN approach. This Potential K-Medoid-HHNN system achieves higher intrusion detection rate, detection stability and less false positive rate. At first the proposed system implements the PK-Medoid clustering technique on various training subsets. Finally mono HHNN model is trained using different training subsets to detect the intrusion. The experimental results show that PK-Medoid-HHNN approach achieves better result compared with other existing framework.
A F T Humanities and Human-Centered Machine Learning

Machine learning research focuses extensively on evaluation, but much less on user intentions and values. We argue that there are two primary paradigms of machine learning use: one that builds independent agents, and another that builds interactive tools. When researchers do not recognize differences in intentions and their associated value systems, it can lead to conflicts and misunderstandings. In this chapter we highlight case studies drawn from computational humanities research to illustrate the characteristics of these two interaction patterns.
AN OVERVIEW OF FLARE TECHNIQUES AND FLARE TRAINING METHODS

It seems there are almost as many ﬂare techniques as there are ﬂight instructors. A problem with most popular techniques is that they are presented as “every time right” “perfect landing” methods, without discussing their suitability or limitations regarding differences in airplane type, environmental factors, pilot capabilities, etc. Another problem is that some ﬂare techniques are basically theories derived from geometrical relationships, and lack any human factors and aircraft dynamics considerations. Scientiﬁc research on ﬂare techniques is scarce, and the available literature generally focuses on verifying the effectiveness of a speciﬁc method, rather than comparing beneﬁts and limitations of several techniques. In this paper we provide an overview of ﬂare techniques found in literature and explain each technique’s strengths and weaknesses. In addition, we will provide some suggestions for ﬂare training and initial results of validation experiments of new training support tools.
The inertial chimney: The near‐inertial energy drainage from the ocean surface to the deep layer

A three-dimensional primitive equation numerical model is used to study the behavior of near-inertial waves generated by surface wind stress on an ƒ plane. The model is fixed depth with a rigid lid on the surface and is horizontally periodic. This study shows the behaviors of the wind-generated near-inertial waves for four different eddies: (1) a subtropical cold-core eddy, (2) a subtropical warm-core eddy, (3) a California subsurface warm-core eddy, and (4) the Gulf Stream warm-core ring. The mean secondary circulation generated by the wind-eddy interaction has magnitude to comparable to that of the Ekman current, and its characteristics are determined by the relative angle between wind and current. The propagation characteristics of near-inertial waves are quite different depending upon the sign of the relative vorticity. In a cyclonic eddy, near-inertial wave propagation is outward from the core of the eddy. The propagation direction in an anticyclonic eddy is downward and toward the core. Vertically propagating waves inside the eddy are trapped above a critical layer and slowly dissipated by parameterized viscous effects. The model shows that anticyclones efficiently drain near-inertial energy from the surface to the deep layer below the thermocline.
Stock Composition of Some Sockeye Salmon , Oncorhynchus nerka , Catches in Southeast Alaska , Based on Incidence of AIlozyme Variants , Freshwater Ages , and a Brain-Tissue Parasite

The incidence of four discrete characters of individual sockeye salmon -two genetically inherited proteins (PGM-1*and PGM-2*) , freshwater age at migration, and the presence of the brain-tissue parasite Myxobolus arcticus-in weekly samples from two Alaskan fisheries (Noyes Island in 1986 and Sumner Strait in 1987) were used to infer stock composition of the catches based on corresponding character samples from 73 Alaskan and Canadian stocks. Estimated contributions of 13 stock groups, formed on the basis of character similarity of their members, were roughly consistent with expectations from tagging experiments, knowledge of stock magnitudes, and similar assessments from scales. Imprecision of the estimated contributions by the 13 stock groups limited their practical value; but variability was much reduced for combined estimated contributions by two inclusive categories, namely stock groups whose members had either high or low brainparasite prevalence. Noyes Island catches consisted predominantly of unparasitized fish, most of which were probably of Canadian origin. The majority of Sumner Strait catches consisted of parasitized fish, whose freshwater origins may have been in Alaska or Canada.
Prospective cross-sectional multicenter study on domiciliary noninvasive ventilation in stable hypercapnic COPD patients

Background: Domiciliary noninvasive ventilation (NIV) use in stable hypercarbic COPD is becoming increasingly widespread. However, treatment compliance criteria and factors related to compliance remain to be defined. Methods: This research was designed as a prospective, cross-sectional, multicenter real-life study. Chronic hypercapnic COPD patients who were using domiciliary NIV for at least 1 year and being followed up in 19 centers across Turkey were included in the study. The patients who used NIV regularly, night or daytime and $ 5 hours/d, were classified as “high-compliance group,” and patients who used NIV irregularly and , 5 hours/d as “low-compliance group. ” Results: Two hundred and sixty-six patients with a mean age of 64.5 ± 10.3 years were enrolled, of whom 75.2% were males. They were using domiciliary NIV for 2.8 ± 2 years. Spontaneous time mode ( p , 0.001) and night use ( p , 0.001) were more frequent in the high-compliance group (n = 163). Also, mean inspiratory positive airway pressure values of the high-compliance group were significantly higher than the low-compliance group (n = 103; p , 0.001). Cardiac failure ( p = 0.049) and obesity ( p = 0.01) were significantly more frequent in the high-compliance group. There were no difference between 2 groups regarding hospitalization, emergency department and intensive care unit admissions within the last year, as well as modified Medical Research Council dyspnea and COPD Assessment Test scores. With regard to NIV-related side effects, only conjunctivitis was observed more frequently in the high-compliance group ( p = 0.002). Conclusion: Determination of the patients who have better compliance to domiciliary NIV in COPD may increase the success and effectiveness of treatment. This highly comprehensive study on this topic possesses importance as it suggests that patient and ventilator characteristics may be related to treatment compliance.
Fusion de données provenant de différents capteurs satellitaires pour le suivi de la qualité de l'eau en zones côtières. Application au littoral de la région PACA

Le suivi des zones cotieres necessite a la fois une bonne resolution spatiale, une bonne resolution spectraleassociee a un bon rapport signal sur bruit et enfin une bonne resolution temporelle pour visualiser deschangements rapides de couleur de l’eau.Les capteurs disponibles actuellement, et meme ceux prevus prochainement, n’apportent pas a la fois unebonne resolution spatiale, spectrale ET temporelle. Dans cette etude, nous nous interessons a la fusion de 2futurs capteurs qui s’inscrivent tous deux dans le programme Copernicus de l’agence spatiale europeenne:MSI sur Sentinel-2 et OLCI sur Sentinel-3.Comme les capteurs MSI et OLCI ne fournissent pas encore d’images, il a fallu les simuler. Pour cela nousavons eu recours aux images hyperspectrales du capteur HICO. Nous avons alors propose 3 methodes : uneadaptation de la methode ARSIS a la fusion d’images multispectrales (ARSIS), une methode de fusion baseesur la factorisation de tenseurs non-negatifs (Tenseur) et une methode de fusion basee sur l’inversion dematrices (Inversion)Ces 3 methodes ont tout d’abord ete evaluees a l’aide de parametres statistiques entre les images obtenuespar fusion et l’image « parfaite » ainsi que sur les resultats d’estimation de parametres biophysiques obtenuspar minimisation du modele de transfert radiatif dans l’eau.
O PEN -E NDED D REAMER : A N U NSUPERVISED D IVERSITY - ORIENTED N EUROSYMBOLIC L EARNER

Harnessing program induction , coupling robustness and expressivity, by combining some form of symbolic and procedural knowledge appears to be a promising direction towards more open-ended innovation, and extrapolative behavior. Building upon DreamCoder framework (Ellis et al., 2021), we present an unsupervised diversity-oriented neurosymbolic learner: Open-Ended Dreamer (OED). Balancing environmental, language and novelty pressures, OED aims to learn novel, and useful programmatic abstractions. As a first test-bed we experiment with a tower building environment, where we analyze the benefits of library learning, neural guidance, innate priors, or environmental pressures to guide the formation of symbolic knowledge and open-ended program discovery.
Utilizing Synthetic Tabular Data Method to Improve Heart Attack Prediction Accuracy

Predicting heart attack possibility is a crucial step in saving human life because it is one of the leading causes of death. How improve and/or achieve as accurate as possible prediction value is a challenging task. Though Deep Learning networks, such as Recurrent Neural Networks (RNNs) and Long Short-Term Memory networks (LSTMs), have been widely used to predict medical events, the issue of providing perfect prediction outcomes is still progressing. The training data insufficiency is a major hindrance to these network's performance. Accordingly, to overcome that issue, this research develops a method for heart attack prediction by using the Conditional Tabular Generative Adversarial Network (CTGAN) model. By anticipating and warning the patient that he may be having a heart attack, he to take the appropriate preventative steps, the proposed method in this research can help to reduce deaths from heart attacks and preserve patients' lives. The suggested method uses the CTGAN model to expand the patient's laboratory test results to build a synthetic trained database. Then, the RNN and LSTM are trained on the generated dataset to enhance the prediction accuracy, and both RNN and LSTM are evaluated before and after the database expansion. The experimental results show that the accuracy of RNN and LSTM is increased to 100% and 99% from 80% and 65%, respectively and the precision of RNN and LSTM is increased to 100% for each of them from 68% and 0, respectively. Finally, sensitivity(recall) increased for RNN and LSTM from 77% and 0 to 100% and 98%, respectively.
Effects of lightning and sprites on the ionospheric potential, and threshold effects on sprite initiation, obtained using an analog model of the global atmospheric electric circuit

[1] A quantitative model of the global atmospheric electric circuit has been constructed using the PSpice electrical engineering software package. Currents (~1 kA) above thunderstorms and electrified rain/shower clouds raise the potential of the ionosphere (presumed to be an equipotential surface at 80 km altitude) to ~250 kV with respect to the Earth's surface. The circuit is completed by currents flowing down through the fair-weather atmosphere in the land/sea surface and up to the cloud systems. Using a model for the atmospheric conductivity profile, the effects of both negative and positive cloud-to-ground (CG) lightning discharges on the ionospheric potential have been estimated. A large positive CG discharge creates an electric field that exceeds the breakdown field from the ionosphere down to ~74 km, thereby forming a halo, a column sprite, and some milliseconds later, from ~67 km down to ~55 km at ~60 ms after the discharge, a "carrot" sprite. Estimates are made of the return stroke current and the thundercloud charge moment change of a +CG discharge required to exceed the threshold breakdown field, or the threshold field for creating and sustaining negative or positive streamers. The values for breakdown at 80 km altitude are 35 kA and 350 C.km, (Coulomb.kilometers), respectively, and those at 70 km altitude are 45 kA and 360 C.km, respectively. The different temporal and spatial developments of the mesospheric electric field distinguishing between column and carrot sprites agree with the latest deductions from recent observations. The current flowing in the highly conducting sprite reduces the ionospheric potential by ~1 V.
The deep structure of the Larderello‐Travale geothermal field from 3D microearthquake traveltime tomography

With the aim of exploring the deep structure of the Larderello‐Travale (LT) geothermal field, a high resolution 3‐D tomographic inversion of microearthquake traveltimes has been performed. Results show that the deep part of the Larderello‐Travale field is characterized by the presence of a structure having a velocity range of 6.0–6.5 km/s and a convex shape deepening towards the northeastern and the southeastern sides of the field. Earthquakes are mostly concentrated on the top of the high velocity structure and below the ‘K horizon’ implying a transition of rheological properties at depth. The reported dependence on time of ts‐tp observed at one station located above an earthquake cluster suggests that the variation in pore fluid pressure might be responsible for the transition of rheological properties along the contact. In such an area, changes in pore fluid pressure might be related to time‐dependent hydraulic mechanisms that are very effective in crustal rocks at elevated temperatures.
Understanding the past-climate history from Antarctica

Antarctic ice cores have become a unique and powerful resource for studies of climate change. They contain information on past climate, on forcing factors such as greenhouse gas concentrations, and on numerous other environmental parameters. For recent centuries, sites with high snow accumulation are chosen. They have, for example, provided the only direct evidence that carbon dioxide concentrations have increased by over 30% over the last two centuries. They have provided key datasets for other greenhouse gases, and for other forcings such as solar and volcanic. Over longer timescales, the Vostok ice core has shown how greenhouse gas concentrations and climate have closely tracked one another over the last 400 000 years. Other cores have shown detailed spatial and temporal detail of climate transitions, including the Antarctic response during rapid climate events such as Dansgaard-Oeschger events. The new core from Dome C has extended the range of ice cores back beyond 800 000 years, and even older ice could be obtained in future projects.
Extended depth of field imaging at 94 GHz

We describe a computational imaging technique to extend the depth-of field of a 94-GHz imaging system. The technique uses a cubic phase element in the pupil plane of the system to render system operation relatively insensitive to object distance. However, the cubic phase element also introduces aberrations but, since these are fixed and known, we remove them using post-detection signal processing. We present experimental results that validate system performance and indicate a greater than four-fold increase in depth-of-field from 17" to greater than 68".
Cerdà and Barcelona: The need for a new city and service provision

This paper examines Ildefons Cerda's 1860 Plan for the Urban Expansion of Barcelona; specifically, how and why it was conceived in a unique way, in which the provision of services to the population was an important part. Cerda based his expansion proposal on an in‑depth socio-statistical study of old Barcelona's population conditions. The high mortality rates of the working‑class population and poor health and education conditions pushed Cerda to design a new type of urban planning, which he defined as "urbanism". In his proposal for the new city, he planned the location of services such as marketplaces, schools and hospitals. The first part of this paper introduces the urban and political preconditions of Barcelona and the statistics on which Cerda based his contribution. The second part uses location theory and a geographic information system (GIS) to analyse the pattern of location and the population served by markets and hospitals. In addition, topographic maps from 1926 and 1975 are used to study the development of the expansion up to when it was fully developed. The evolution of the city differed from Cerda's proposal, partly due to unexpected increases in population density, the built environment, and higher amounts of building occupation. Nevertheless, Cerda's layout of streets and avenues has prevailed.
Sustainable smart-parking management for connected and autonomous vehicles

This report addresses the parking-seeking problem and suggests a smart parking algorithm that can guide vehicles to the best parking lot in a parking area, minimizing travel time and maximizing chances of finding an available spot. The developed algorithm exploits data available from connected and smart parking and road infrastructure, using an optimization algorithm based on a multicriteria decision-making process. The project was financed by Vinnova and was a collaboration between VTI, University of Skövde, Stockholm City, Stockholm Parking and Kista Science City