Miracle-dz/UniFAR-FTUs huggingface dataset:
Personal Bankruptcy and Credit Market Competition

We document a link between U.S. credit supply and rising personal bankruptcy rates. We exploit the exogenous variation in market contestability brought on by banking deregulation—the relaxation of entry restrictions in the 1980s and 1990s—at the state level. We find deregulation explains at least 10% of the rise in bankruptcy rates. We also find that deregulation leads to increased lending, lower loss rates on loans, and higher lending productivity. Our findings indicate that increased competition prompted banks to adopt sophisticated credit rating technology, allowing for new credit extension to existing and previously excluded households.
Multimodal Sensor Data Fusion for Activity Recognition Using Filtered Classifier

Activity recognition (AR) is a subtask in pervasive computing and context-aware systems, which presents the physical state of human in real-time. These systems offer a new dimension to the widely spread applications by fusing recognized activities obtained from the raw sensory data generated by the obtrusive as well as unobtrusive revolutionary digital technologies. In recent years, an exponential growth has been observed for AR technologies and much literature exists focusing on applying machine learning algorithms on obtrusive single modality sensor devices. However, University of Jaén Ambient Intelligence (UJAmI), a Smart Lab in Spain has initiated a 1st UCAmI Cup challenge by sharing aforementioned varieties of the sensory data in order to recognize the human activities in the smart environment. This paper presents the fusion, both at the feature level and decision level for multimodal sensors by preprocessing and predicting the activities within the context of training and test datasets. Though it achieves 94% accuracy for training data and 47% accuracy for test data. However, this study further evaluates post-confusion matrix also and draws a conclusion for various discrepancies such as imbalanced class distribution within the training and test dataset. Additionally, this study also highlights challenges associated with the datasets for which, could improve further analysis.
An analysis of a Borderline Personality Disorder case with compulsive sexual perversions according to Interpersonal Motivational Systems and Metacognitive functioning models

In this study we will show how to conceptualize a Borderline Personality Disorder case with sexual perversions in terms of Interpersonal Motivational Systems and of Metacognitive functioning models, in order to allow a more targeted and effective clinical treatment. To this end, after a theoretical discussion we will analyse some psychotherapy transcripts. In order to support our reflections and therapeutic choices we decided to refer to the metacognitive functioning model according to the Metacognitive- Interpersonal model (Semerari, 1999b; Dimaggio and Semerari, 2003; Carcione et al., 2008; Dimaggio et al., 2008; Dimaggio et al., 2009) and to the Interpersonal Motivational Systems theory within the Cognitive-Evolutionary model (Lichtenberg, 1989; Lichtenberg, Lachman and Fosshage, 1992, 1996; Liotti, 2001, 2005; Liotti, Cortina and Dazzi, 2008). Keyword in english metacognition; sexual perversions; interpersonal motivational systems; sexual addiction; attachment
Molecular characterization of 'sweet' cassavas (Manihot esculenta) from a germplasm bank in Brazilian Eastern Amazonia

Genetic variability of a set of 81 accessions of 'sweet' cassavas (Manihot esculenta) collected mostly in the North region of Brazil was investigated with nine microsatellite loci. All loci were polymorphic, with mean of 6.33 alleles per locus. Analyses indicated that 35 multiloci profiles were represented by a single accession, and 46 showed non-unique profiles, represented by eleven genotypes. Forty-six different multiloci profiles were detected. Most of the putative duplicated accessions were collected in different locations. After the removal of putative duplicated genotypes, genetic parameters were estimated and expected heterozygosity was high (HE=0.73), indicating genetic variability. Structure analysis of this set of 'sweet' cassavas divided the 46 genotypes into two clusters (K=2), and a few genotypes had mixed ancestry. Results indicated the habit of exchange of materials among farmers of the North region of Brazil, and the genetic variability to be exploited in genetic breeding efforts.
Antioxidant Properties of Dihydroxyfumaric Acid and Its Dimethyl Ether: a Comparative DFT Study of Their Reactions with the Stable Radical DPPH*

The preferred mechanism of the reaction of dihydroxyfumaric acid and its dimethyl ether with the free stable radical 1,1-diphenyl-2-picrylhydrazyl (DPPH*) was revealed by means of Density Functional Theory (DFT) calculations. The proposed mechanism has an ionic character and includes the formation of charge-transfer complexes as the main stage. It is also shown that the lower antioxidant activity of dimethyl ether of dihydroxyfumaric acid is caused by both its lower acidity (as compared with its precursor acid) and formation of more stable intermediates during its reaction with DPPH*. Our results allow one to rationalize the available experimental data.
Magnetic Resonance Imaging of Gadolinium Labeled Monoclonal Antibody Polymers

4,331,647 5/1982 Goldenberg . 424/1 4,352,751 10/1982 Wieder et al. . 260/112 R 4,639,365 l/1987 Sherry . 424/9 4,675,173 6/1987 Widder . 424/9 4,687,659 8/1987 Quay . 424/9 4,728,575 3/1988 Gamble et al. . 428/402.2 4,731,239 3/1988 Gordon . 424/9 4,735,210 4/1988 Goldenberg . 128/654 4,855,353 8/1989 Kurami et al. . 525/54.1 4,863,717 9/1989 Keana . 424/9 |||||||||||||||||| US00523O883A
Major Social Safety Net Programmes in the Context of Dryland Farming: Review and Synthesis. Working Paper, (SaciWater WP- 01/2014).

Poverty is a major issue in rural India, especially in the semiarid tropic region of India. In order to alleviate poverty the Government of India, and state governments, like governments world over, have instituted social protection and social safety net programmes. This paper seeks to review and synthesize implementation of the major social safety net programmes in India and globally and document various social safety net programmes that area commonly being implemented in the semiarid tropical regions of Andhra Pradesh. In order to do this, this paper investigates the existing definitions of poverty, and vulnerability with a special focus on the semiarid tropics of India and examines the need for social assistance in this region. The concepts of social protection in terms of social protection programmes and social safety nets are also investigated. A review of social protection programmes from all over the world is carried out – examining the different programmes in developed nations such as Germany, United States and United Kingdom; developing nations, with a focus on Latin America; and least developed nations in Africa. In this range of studies, it is possible to see how social protection programmes vary, from the more affluent nations, where these programmes are more contributory in nature, dealing more with health and temporary relief in cases of unemployment. Whereas in the less developed nations, where SPPs are a more non-contributory in nature, and form a much more essential part in ensuring livelihood security. The paper then examines the most important social protection programmes in India, in great detail providing a history of development of important schemes meant to ensure food, nutritional and livelihood security, such as the PDS and NREGA among other import programmes, and talks about the criticisms and shortcomings of the programmes. The various SPPs in Andhra Pradesh are examined, with a special focus on Self- Help Groups which are mostly comprised of women have been instrumental in improving well being, not just of women but also of families. There have been reports of issues with many social protection programmes in India, in terms of access, leakages, benefits not being received, the cost effectiveness of these programmes , lack of gender sensitivity in the programmes and so on. Despite all the flaws and gaps in implementation, the way now is forward. There is an urgent need to study how access or lack thereof to the various official and non official social safety net programmes have affected not just the intended direct and indirect beneficiaries, but also those in rural India who are not beneficiaries of the programmes, but who may directly or indirectly be affected by them, either positively or negatively.
Pinning stabilization of complex networks coupled with time delay and disturbed with stochastic noise

A pinning stabilization problem of complex networks with time-delay coupling is studied under stochastic noisy circumstances in this paper. Only one controller is used to stabilize the network to the equilibrium point when the network is connected and the minimal number of controllers is used when the network is unconnected, where the structure of complex network is fully used. Some criteria are achieved to control the complex network under stochastic noise in the form of linear matrix inequalities. Several examples are given to show the validity of the proposed control criteria.
The Link between Output, Inflation, Monetary Policy and Housing Price Dynamics

This study analyses empirically the link between real house prices and key macro variables like prices, output and interest rates for ten OECD countries. We find out that a monetary policy shock lowers real house prices in all ten countries, where the interest rate shock explains between 12 and 24 percent of the fluctuations in house prices. Impulse responses indicate that house prices rise after an output shock in nine of ten countries. But we also find evidence that real estate prices have a large impact on these key macroeconomic variables. We find out that the house price shock is a germane aggregate demand shock because it raises output and prices and leads to increasing money market rates in all countries. The story behind this finding is that increasing house prices lead to an increase in households' net worth which leads to increasing consumption expentitures and thereby stimulates aggregate demand. This stimulus on aggregate demand leads to increasing output and inflationary pressures on which the central bank reacts by tightening monetary policy. We find out that 12 to 20 percent of output fluctuations and around 10 to 20 percent of price fluctuations can be traced back to the housing demand shock. Moreover, we find that these housing demand shocks are a key driver of money market rates. We conclude that this channel is empirically relevant.
A DUAL-BAND MILLIMETER-WAVE KINETIC INDUCTANCE CAMERA FOR THE IRAM 30 m TELESCOPE

The Néel IRAM KIDs Array (NIKA) is a fully integrated measurement system based on kinetic inductance detectors (KIDs) currently being developed for millimeter wave astronomy. The instrument includes dual-band optics allowing simultaneous imaging at 150 GHz and 220 GHz. The imaging sensors consist of two spatially separated arrays of KIDs. The first array, mounted on the 150 GHz branch, is composed of 144 lumped-element KIDs. The second array (220 GHz) consists of 256 antenna-coupled KIDs. Each of the arrays is sensitive to a single polarization; the band splitting is achieved by using a grid polarizer. The optics and sensors are mounted in a custom dilution cryostat, with an operating temperature of ∼70 mK. Electronic readout is realized using frequency multiplexing and a transmission line geometry consisting of a coaxial cable connected in series with the sensor array and a low-noise 4 K amplifier. The dual-band NIKA was successfully tested in 2010 October at the Institute for Millimetric Radio Astronomy (IRAM) 30 m telescope at Pico Veleta, Spain, performing in-line with laboratory predictions. An optical NEP was then calculated to be around 2 × 10−16 W Hz−1/2 (at 1 Hz) while under a background loading of approximately 4 pW pixel−1. This improvement in comparison with a preliminary run (2009) verifies that NIKA is approaching the target sensitivity for photon-noise limited ground-based detectors. Taking advantage of the larger arrays and increased sensitivity, a number of scientifically relevant faint and extended objects were then imaged including the Galactic Center SgrB2 (FIR1), the radio galaxy Cygnus A, and the NGC1068 Seyfert galaxy. These targets were all observed simultaneously in the 150 GHz and 220 GHz atmospheric windows.
Do Aid Donors Coordinate Within Recipient Countries

Aid fragmentation and a lack of donor coordination have been widely recognized as principal problems impairing the effectiveness of aid. In particular, the importance of within-country division of labor has been highlighted in recent years. At the same time, rigorous quantitative analyses of within-country aid coordination are largely missing. Taking the whole donor pool(including NGOs) within an aid recipient country into account, we examine the coordination behavior of donors across regions and sectors. Our results indicate a modest degree of donor coordination within Cambodia, even after the 2005 Paris Declaration. In particular, the coordination efforts among bilateral donors seem rather limited, suggesting that their political and economic interests prevent closer coordination. With respect to the behavior of NGOs, we find them to be mainly active in the same regions and sectors as official donors, creating coordination problems between the two groups of donors. In addition, NGOs appear to cluster in the regional-sectoral space although there seems to be some sort of coordination among them.
Cepheid distances from the Baade–Wesselink method

Abstract Recent progress on Baade–Wesselink (BW)-type techniques to determine the distances to classical Cepheids is reviewed. Particular emphasis is placed on the near-infrared surface-brightness (IRSB) version of the BW method. Its most recent calibration is described and shown to be capable of yielding individual Cepheid distances accurate to 6%, including systematic uncertainties. Cepheid distances from the IRSB method are compared to those determined from open cluster zero-age main-sequence fitting for Cepheids located in Galactic open clusters, yielding excellent agreement between the IRSB and cluster Cepheid distance scales. Results for the Cepheid period–luminosity (PL) relation in near-infrared and optical bands based on IRSB distances and the question of the universality of the Cepheid PL relation are discussed. Results from other implementations of the BW method are compared to the IRSB distance scale and possible reasons for discrepancies are identified.
What can the spatial distribution of galaxy clusters tell about their scaling relations

Context. The clustering of galaxy clusters is sensitive not only to the parameters characterizing a given cosmological model, but also to the links between cluster intrinsic properties (e.g., the X-ray luminosity, X-ray temperature) and the total cluster mass. These links, referred to as the cluster scaling relations, represent the tip of the iceberg of the so-called cross-roads between cosmology and astrophysics on the cluster scale. Aims. In this paper we aim to quantify the capability of the inhomogeneous distribution of galaxy clusters, represented by the twopoint statistics in Fourier space, to retrieve information on the underlying scaling relations. To that end, we make a case study using the mass–X-ray luminosity scaling relation for galaxy clusters and study its impact on the clustering pattern of these objects. Methods. To characterize the clustering of galaxy clusters, we define the luminosity-weighted power spectrum and introduce the luminosity power spectrum as direct assessment of the clustering of the property of interest, in our case, the cluster X-ray luminosity. Using a suite of halo catalogs extracted from N-body simulations and realistic estimates of the mass–X-ray luminosity relation, we measured these statistics with their corresponding covariance matrices. By carrying out a Fisher matrix analysis, we quantified the content of information (by means of a figure of merit) encoded in the amplitude, shape, and full shape of our probes for two-point statistics. Results. The full shape of the luminosity power spectrum, when analyzed up to scales of k ∼ 0.2 h Mpc−1, yields a figure of merit that is two orders of magnitude above the figure obtained from the unweighted power spectrum, and only one order of magnitude below the value encoded in X-ray luminosity function estimated from the same sample. This is a significant improvement over the analysis developed with the standard (i.e., unweighted) clustering probes. Conclusions. The measurements of the clustering of galaxy clusters and its explicit dependence on the cluster intrinsic properties can contribute to improving the degree of knowledge regarding the underlying links between cluster observables and cluster masses. We therefore suggest future clustering analysis of galaxy clusters to implement the weighted statistics and especially the luminosity (or any other property of interest) power spectrum when aiming at simultaneously constraining cosmological and astrophysical parameters.
DISCRETE DURATION MODEL HAVING AUTOREGRESSIVE RANDOM EFFECTS WITH APPLICATION TO JAPANESE DIFFUSION INDEX

This article describes a semiparametric estimation method for a discrete duration model with autoregressive random effects using Markov chain Monte Carlo techniques, and analyzes the duration of ten monthly economic times series which are components of the Japanese leading diffusion index. By introducing common time-dependent random effects to the individual duration, we capture a co-movement among durations that represents external macroeconomic factors. A dynamic modelling approach is employed assuming smoothness conditions on the baseline hazard function for long duration times with sparse observations.
Foraging for patchily-distributed hosts by the parasitoid, Nemeritis canescens

(1) The locomotory responses which influence patch time allocation were investigated for the parasitoid, Nemeritis canescens (Grav.). Arrestment in patches was brought about by orthokinetic and klinotactic responses to a host-produced chemical and, indirectly, by oviposition. (2) A series of ovipositions increased patch time in a manner dependent on their rate rather than their absolute number. (3) A behavioural model is developed for the duration of a patch visit at different host densities. The aggregative response predicted is compared with experimental findings. (4) The effect of experience on patch time is investigated. Nemeritis avoids already visited patches. More long-term effects of conditioning on patch time are also suggested. (5) The manner in which Nemeritis forages is compared to that predicted by foraging models, and the nature of the parasitoid foraging process is discussed.
Polarization Dependent Raman Active Modes Study of the Mo1 xWxS2 Mixed Layered Crystals

A systematic study of a series of Mo1 xWxS2 mixed-layered crystals with 0 ≤ x ≤ 1 grown by the chemical vapor transport method was conducted by using Raman scattering measurements. The composition of the samples was determined by X-ray photoelectron spectroscopy. Measurements in the basal plane revealed two dominant first-order Ramanactive modes A1g and E 1g as well as several second-order modes in the range of 250–450 cm 1 . The E1g mode was observed in the edge plane of thick samples. For all the Mo1 xWxS2 samples, the peaks corresponding to the A1g mode showed one-mode behavior, whereas the peaks corresponding to the E 1 2g mode exhibited two-mode behavior. These results can be explained on the basis of the atomic displacements for each mode. In the case of the A1g mode, only sulfur atoms vibrate, and this results in the one-mode behavior. In contrast, in the case of the E 1 2g mode, metal atoms and sulfur atoms vibrate together, and the resulting mass difference between the vibrating Mo and W cations results in the two-mode behavior of the peaks corresponding to the E 1
Smallmouth Bass in the Pacific Northwest: A Threat to Native Species; a Benefit for Anglers

As a popular sportfish, smallmouth bass (Micropterus dolomieu) generates considerable angling opportunities with benefits to local economies even outside of their native range. Smallmouth bass was first introduced to the Pacific Northwest region of North America as a sportfish over 80 years ago, and this species is now widely distributed. More recently, smallmouth bass have become a large component of the fish community in many streams, rivers, and lakes. Smallmouth bass thrive in the Pacific Northwest largely due to the habitat created by human modifications of the landscape. While a desired sportfish, smallmouth bass may also negatively affect native fishes. Of greatest concern is predation on threatened and endangered Pacific salmon; however, the current level of knowledge is inadequate to make informed management decisions for smallmouth bass. Management options for smallmouth bass are complicated further because fisheries agencies are simultaneously charged with enhancing fishing opportunities and controlling predators of threatened and endangered salmon. To advance conservation science, there is a need to determine the utility of different management approaches, and testing options in key areas of overlap between smallmouth bass and salmon is suggested.
Optimization of the quintic equation of the state based model for the calculations of different thermodynamic properties

Optimization of the quintic equation of the state based model for the calculations of different thermodynamic properties Different thermodynamic properties (the vapour density, the liquid density and the saturation pressure) were calculated by the model based on the Nakamura-Breedveld-Prausnitz equation of state (NBP EOS). Since the original form of the NBP EOS often generates inaccurate results for liquids, it was modified to describe this phase better. The calculations were realized in the subcritical region. So far, the temperature-dependent NBP EOS parameters have been obtained by special correlations. Their constants were fitted to a lot of experimental data. In this paper the equation of state temperature-dependent parameters were obtained by a new method which was based at piecewise cubic Hermite interpolating polynomials (PCHIPs). In the proposed method some experimental data (called the key ones) were used, thus reducing the experimental effort. Seven substances were chosen for the test calculations. Each of them is common in industry. The calculation results were compared with the experimental data. The new method has made an accurate description of vapour-liquid equilibrium for the considered pure substances over a wide temperature range possible.
Characterization of a Time Multiplexed Inductively Coupled Plasma Etcher

We report the experimentally obtained response surfaces of silicon etching rate, aspect ratio dependent etching (ARDE), photoresist etching rate, and anisotropy parameter in a time multiplexed inductively coupled plasma etcher. The data were collected whi le varying eight etching variables. The relevance of electrode power, pressure, and gas flow rates is presented and has been found t o agree with observations reported in the literature. The observed behavior presented in this report serves as a tool to locate a nd optimize operating conditions to etch high aspect ratio structures. The performance of this deep reactive ion etcher allows the tai loring of silicon etching rates in excess of 4 mm/min with anisotropic profiles, nonuniformities of less than 4% across the wafer, and ARDE control with a depth variation of less than 1 mm for trenches of dissimilar width. Furthermore it is possible to prescribe the slope of etched trenches from positive to reentrant. © 1999 The Electrochemical Society. S0013-4651(98)01-009-X. All rights reserved.