Miracle-dz/UniFAR-FTUs huggingface dataset:
Thermal negativity in a two qubit XXX and XX spin chain model in an external magnetic field

In this paper we studied the thermal negativity in a two-qubit XX spin ½ chain model and XXX spin 1/2 chain model(isotropic Heisenberg model)spin-1/2 chain subjected to an external magnetic field in z direction. We calculate analytical relation for the thermal negativity for two qubit XX and XXX spin chain models in the external magnetic field. Effects of the magnetic field and temperature on the negativity are shown. We have also plotted two kind of behavior in the thermal negativity which scales by magnetic field and temperature. It is shown that when the magnetic field along in axis z is considerable, thermal negativity can be decrease for higher temperature. We found the critical temperature of negativity for XX spin chain model and XXX spin chain model with added external magnetic field where there are independent from magnetic field. We also have shown in both of two models after T=TC the negativity is zero. We find the critical temperature for this models and show that the critical temperature is independent of magnetic field. We found that the negativity with increasing the temperature T, at first the quantum correlations in the system increase, smoothly reaches the maximum, and then after the critical temperature turn into zero.
Explaining Argentina's Great Depression of 1975-1990

This paper is part of the project "Explaining Economic Growth Performance" launched by the Global Development Network. The authors revisit the evidence on growth in Argentina, looking at aggregate data as well as national income data by sector. This paper's primary hypothesis is that government policies during 1975-90 increased capital costs, reducing the capital per worker and thereby inducing a labor reallocation. This analysis assumes that the elasticity of substitution between capital and labor is higher in the service industry, so that new entrants to the labor force were allocated to the service sector where it was easier to substitute labor for capital.
Psychometric Properties of the Swedish Version of the Fear of Complications Questionnaire

Objectives: To translate and evaluate the psychometric properties of the Swedish version of the Fear of Complications Questionnaire. Design: Cross-sectional study design and scale development. Settings: Totally, 469 adults (response rate 63.5%) with Type 1 diabetes completed the questionnaires. Participants were recruited from two university hospitals in Sweden. Participants: Eligible patients were those who met the following inclusion criteria: diagnosed with Type 1 diabetes, diabetes duration of at least 1 year and aged at least 18 years. Methods: The Fear of Complications Questionnaire was translated using the forward-backward translation method. Factor analyses of the questionnaire were performed in two steps using both exploratory and confirmatory factor analysis. Convergent validity was examined using the Hospital Anxiety and Depression Scale and the Fear of Hypoglycaemia Fear Survey. Internal consistency was estimated using Cronbach’s alpha. Results: Exploratory factor analysis supported a two-factor solution. One factor contained three items having to do with fear of kidney-related complications and one factor included the rest of items concerning fear of other diabetes-related complications, as well as fear of complications in general. Internal consistency was high Cronbach’s alpha 0.96. The findings also gave support for convergent validity, with significant positive correlations between measures (r = 0.51 to 0.54). Conclusion: The clinical relevance of the identified two-factor model with a structure of one do
METACOGNITIVE STRATEGY TEACHING IN THE ESL ORAL CLASSROOM RIPPLE EFFECT ON NON-TARGET STRATEGY USE

While strategy instruction research generally focuses on the effect of the teaching on learners’ use of the strategies targeted for instruction, the present study examines the ‘wash over’ effect on learners’ use of pre-existing, non-target strategies. The study involved a treatment class and a comparison class in the ESL oral classroom in Hong Kong. A quasi-experimental design was adopted in which the treatment class received metacognitive strategy instruction to enhance students’ ability to manage English group discussion tasks. A data collection method comprising observations and stimulated recall interviews that aimed to tap respectively overt strategy use and covert strategic thoughts was employed. The findings indicate that, for the treatment class, while there seemed to be no ‘wash over’ effect from target to non-target strategies in the frequency of use of the whole sample of non-target strategies over time, there were increases in the frequency of use of individual, non-target strategies that were pertinent to the specific nature of small group discussion tasks. The findings are discussed with respect to the differential and desirable effects of the strategy teaching and to the relationship between task type and strategy choice. Implications for strategy instruction will also be drawn.
14 Generalized Problematic Internet Use Scale 2: update on the psychometric properties among Italian young adults.

Problematic Internet Use (PIU) involves cognitive distortions and dysfunctional behaviors (e.g., compulsive Internet use or using the Internet to alleviate negative emotions) that lead to negative outcomes in various areas of an individual’s life. The Generalized Problematic Internet Use Scale 2 (GPIUS2) is one of the few theory-driven instruments to measure the type of PIU associated with the unique communicative context available online. The purpose of this study was to expand upon previous empirical evidence of the psychometric properties of the GPIUS) among Italian young adults. The present psychometric evaluation of the Italian version of the GPIUS2 was conducted on a sample of 748 undergraduate students (48.3% males) from 18 to 26 years old (M= 21.84 years, SD = 2.20). With regard to scale dimensionality, the four first-order factors model (i.e. preference for online social interaction, mood regulation, deficient self-regulation, and negative outcomes) was confirmed (fit indices: Satorra-Bentler scaled χ 2 /df = 3.03; Comparative Fit Index = 0.93; Tucker–Lewis index = 0.92; Root Mean Square Error of Approximation = 0.05). Internal-consistency Cronbach’s alpha ranged from 0.72 to 0.89. Convergent validity is demonstrated with significant correlations between GPIUS2 and Internet Addiction Test score. Validity was also assessed by exploring the relationship between GPIUS2 and several indices of psychosocial well-being that were expected to be related to PIU on the basis of previous studies. The overall results confirm previous evidence that the GPIUS2 is an adequate measure of generalized PIU cognitions, behaviors, and outcomes among young adults.
Magnetic bipoles in rotating turbulence with coronal envelope

Context. The formation mechanism of sunspots and starspots is not yet fully understood. It is a major open problem in astrophysics. Aims. Magnetic flux concentrations can be produced by the negative effective magnetic pressure instability (NEMPI). This instability is strongly suppressed by rotation. However, the presence of an outer coronal envelope was previously found to strengthen the flux concentrations and make them more prominent. It also allows for the formation of bipolar regions (BRs). We aim to understand the important issue of whether the presence of an outer coronal envelope also changes the excitation conditions and the rotational dependence of NEMPI. Methods. We have used direct numerical simulations and mean-field simulations. We adopted a simple two-layer model of turbulence that mimics the jump between the convective turbulent and coronal layers below and above the surface of a star, respectively. The computational domain is Cartesian and located at a certain latitude of a rotating sphere. We investigated the effects of rotation on NEMPI by changing the Coriolis number, the latitude, the strengths of the imposed magnetic field, and the box resolution. Results. Rotation has a strong impact on the process of BR formation. Even rather slow rotation is found to suppress BR formation. However, increasing the imposed magnetic field strength also makes the structures stronger and alleviates the rotational suppression somewhat. The presence of a coronal layer itself does not significantly reduce the effects of rotational suppression.
Forecasting the direction of incoming radiation based on fusion of gyroscopic and spectroscopic data

A method is shown to estimate the position of a radioactive source by fusing the data from a sodium iodide detector and a gyroscope while panning the detector. Based on simple geometry considerations, the search motion of a detector is modelled as angular panning. Correlation of both sensor streams is shown as a predictor for the direction of the incoming radiation. The method also allows for a rough distance classification, where a distant source or a homogenous radiation field can be distinguished from a single source near to the detector.
THE ROLE OF COMPLETE BLOOD COUNT IN THE DIAGNOSIS OF HEMOGLOBIN E IN PSEUDO HIGH LEVEL OF HEMOGLOBIN A2

Aim: To evaluate the usefulness of complete blood count (hemoglobin concentration, MCV: mean corpuscular volume, and MCH: mean corpuscular hemoglobin), in diagnostic of hemoglobin E (HbE) when hemoglobin analysis showed pseudo high level of HbA2. Methods: Secondary data were obtained from laboratory records of patients who were referred to the GenNeka Genetic Clinic, Eijkman Institute for Molecular Biology, Jakarta, for thalassemia screening. The patients employed were heterozygous HbE, compound heterozygous HbE with other β-thalassemia mutations, homozygous HbE, and co-inheritance with αthalassemia, that was confirmed by molecular analysis. Complete blood count (CBC) was examined using an automated blood cell analyzer. HbA2 level was measured by HPLC. Molecular analysis was performed by PCR-RFLP method. Hemoglobin concentration, MCV, and MCH values will be presented as a mean or median, and will be compared between heterozygous HbE and compound heterozygous HbE. A comparison was also done between males and females in the heterozygous HbE group. Homozygous HbE and co-inheritance with α-thalassemia will be described as an extrapolation. Results: The hemoglobin concentration, MCV, and MCH values were significantly different between heterozygous HbE and compound heterozygous HbE. Only the hemoglobin concentration and the MCV values were significantly different between males and females in the heterozygous HbE group. Conclusion: CBC is useful in assisting the differentiation of HbE types in misleadingly high HbA2 levels. The sex of the patient has to be considered in the interpretation of CBC results.
Stream Flow Prediction in Flood Plain by Using Artificial Neural Network (Case Study: Sepidroud Watershed)

In order to determine hydrological behavior and water management of Sepidroud River (North of Iran-Guilan) the present study has focused on stream flow prediction by using artificial neural network. Ten years observed inflow data (2000-2009) of Sepidroud River were selected; then these data have been forecasted by using neural network. Finally, predicted results are compared to the observed data. Results showed that neural network could predict stream flow with high precision and the maximum error percentage in data prediction was about 3.
Towards Robust Evaluation of Face Morphing Detection

Automated face recognition is increasingly used as a reliable means to establish the identity of persons for various purposes, ranging from automated passport checks at the border to transferring money and unlocking mobile phones. Face morphing is a technique to blend facial images of two or more subjects such that the result resembles both subjects. Face morphing attacks pose a serious risk for any face recognition system. Without automated morphing detection, state of the art face recognition systems are extremely vulnerable to morphing attacks. Morphing detection methods published in literature often only work for a few types of morphs or on a single dataset with morphed photographs. We create face morphing databases with varying characteristics and how for a LBP/SVM based morphing detection method that performs on par with the state of the art (around 2% EER), the performance collapses with an EER as high as if it is tested across databases with different characteristics. In addition we show that simple image manipulations like adding noise or rescaling can be used to obscure morphing artifacts and deteriorate the morphing detection performance.
Severe acute myocardial ınfarction and peripheral thrombosis in patient with bladder cancer : A case report

Corresponding author / Sorumlu yazar: Ahmet Seyfeddin Gürbüz Adress: Necmettin Erbakan Üniversitesi Tıp Fakültesi, Kardiyoloji Kliniği, Meram / Konya / Türkiye e-Mail: ahmetseyfeddingurbuz@hotmail.com ⸺ Informed Consent: The author stated that the written consent was received from the patient who was presented in this study. Hasta Onamı: Yazar çalışmada sunulan hastadan yazılı onam alındığını ifade etmiştir. ⸺ Conflict of Interest: No conflict of interest was declared by the authors. Çıkar Çatışması: Yazarlar çıkar çatışması bildirmemişlerdir. ⸺ Financial Disclosure: The authors declared that this study has received no financial support. Finansal Destek: Yazarlar bu çalışma için finansal destek almadıklarını beyan etmişlerdir. ⸺
Motion can amplify the face-inversion effect

The face-inversion effect (FIE) refers to increased response times or error rates for faces that are presented upside-down relative to those seen in a canonical, upright orientation. Here we report one situation in which this FIE can be amplified when observers are shown dynamic facial expressions, rather than static facial expressions. In two experiments observers were asked to assign gender to a random sequence of un-degraded static or moving faces. Each face was seen both upright and inverted. For static images, this task led to little or no effect of inversion. For moving faces, the cost of inversion was a response time increase of approximately 100 ms relative to upright. Motion thus led to a disadvantage in the context of inversion. The fact that such motion could not be ignored in favour of available form cues suggests that dynamic processing may be mandatory. In two control experiments a difference between static and dynamic inversion was not observed for whole-body stimuli or for human-animal decisions. These latter findings suggest that the processing of upside-down movies is not always more difficult for the visual system than the processing of upside-down static images.
Markers of Airway In ammation in the Exhaled Breath Condensate of Preschool

Background: Leukotrienes (LT), isoprostanes, and nitrites/nitrates are biomarkers of airway infl ammation and oxidative stress that can be detected in exhaled breath condensate (EBC). The aim of this study was to evaluate LTB4, LTE4, 8-isoprostane, and nitrite/nitrate levels in the EBC of healthy and wheezing preschool children. Methods: We included 21 healthy nonatopic children and 25 patients with recurrent wheezing episodes in a cross-sectional study. LTB4, LTE4, and 8-isoprostane concentrations were measured directly in EBC using a specifi c enzyme immunoassay; nitrite/nitrate concentrations were measured using a colorimetric assay. Results: LTB4 concentrations were higher in children with wheezing episodes than in healthy controls (76 pg/mL vs 20 pg/mL, P<.001). LTE4 was increased in children with wheezing episodes than in healthy controls (68 pg/mL vs 35 pg/mL, P<.001). Nitrite concentrations were higher in children with wheezing episodes than in healthy controls (14 pg/mL vs 9.7 pg/mL, P<.03). We found no differences in 8-isoprostane and nitrate concentrations between the patients and the healthy controls. Conclusions: Our fi ndings suggest that EBC is a suitable noninvasive method for the assessment of airway infl ammation and oxidative stress in preschool children. Levels of LTB4, LTE4, and nitrites were higher in children with recurrent wheezing episodes than in healthy controls.
Learning Intrinsic Image Decomposition by Deep Neural Network with Perceptual Loss

Intrinsic Image Decomposition (IID) refers to recovering the albedo and shading from images, and it plays important roles in addressing computer vision tasks such as illumination-invariant object recognition and image recoloring. IID is an ill-posed problem and lacks of actual labelled samples for learning. This paper presents a deep neural network (DNN) based method to address this problem. To facilitate the training of DNN, we synthesize an intrinsic image dataset through rendering $\pmb 3\mathbf{D}$ models. To make the learnt model well generalize to realworld images with better visual results, we employ the perceptual loss in model learning. The perceptual loss is constructed upon the activations of a neural network pre-trained on real images, such as the VGG network. Such a loss function implicitly introduces knowledge from real-world images and has the ability of multi-level semantic understanding on the decomposed results. Experimental results show that our model trained on synthetic single-object dataset can produce well decomposition results not only on synthetic images but also on real-world scene-level images (containing multiple objects).
GLOBAL AND NONGLOBAL PARAMETERS OF HORIZONTAL-BRANCH MORPHOLOGY OF GLOBULAR CLUSTERS

The horizontal-branch (HB) morphology of globular clusters (GCs) is mainly determined by metallicity. However, the fact that GCs with almost the same metallicity exhibit different HB morphologies demonstrates that at least one more parameter is needed to explain the HB morphology. It has been suggested that one of these should be a global parameter that varies from GC to GC and the other a nonglobal parameter that varies within the GC. In this study we provide empirical evidence corroborating this idea. We used the photometric catalogs obtained with the Advanced Camera for Surveys of the Hubble Space Telescope and analyze the color–magnitude diagrams of 74 GCs. The HB morphology of our sample of GCs has been investigated on the basis of the two new parameters L1 and L2 that measure the distance between the red giant branch and the coolest part of the HB and the color extension of the HB, respectively. We find that L1 correlates with both metallicity and age, whereas L2 most strongly correlates with the mass of the hosting GC. The range of helium abundance among the stars in a GC, characterized by ΔY and associated with the presence of multiple stellar populations, has been estimated in a few GCs to date. In these GCs we find a close relationship among ΔY, GC mass, and L2. We conclude that age and metallicity are the main global parameters, while the range of helium abundance within a GC is the main nonglobal parameter defining the HB morphology of Galactic GCs.
Modeling a hierarchical structure of factors influencing exploitation policy for water distribution systems using ISM approach

Water distribution systems are one of the basic elements of contemporary technical infrastructure of urban and rural areas. It is a complex engineering system composed of transmission networks and auxiliary equipment (e.g. controllers, checkouts etc.), scattered territorially over a large area. From the water distribution system operation point of view, its basic features are: functional variability, resulting from the need to adjust the system to temporary fluctuations in demand for water and territorial dispersion. The main research questions are: What external factors should be taken into account when developing an effective water distribution policy? Does the size and nature of the water distribution system significantly affect the exploitation policy implemented? These questions have shaped the objectives of research and the method of research implementation.
PREDICTION OF OVERBREAK IN UNDERGROUND TUNNEL BLASTING A CASE STUDY

Tunnels are required to be constructed for meeting different human needs such as power generation, transpo rtation, underground storage, sewages etc. Irrespective of the purpose for which the tunnels are driven, all are plagued by overbreak problems. Tunnels driven for water conveyance, in hydroelectric projects, in particular, need to be excavated with minimum overbreak so that the cost of permanent concrete lining is kept to minimum. Predicting overbreak assumes significant importance to design site-specific blasts for minimizing the same. This paper presents a brief review of existing peak particle velocity (PPV) based overbreak estimation models and discusses the influence of PPV on overbreak in a lake tap horizontal tunnel of Koyna Hydro-electric Project, India. Koyna Lake Tap Tunnel is a water feeder tunnel for a fully underground hydroelectric power project. The tunnel had to be driven through hard compact basalt under a shallow cover of 15m beneath a fully charged water body. The rock parting is also compact basalt. Water injection and subsequently grout injection tests confirmed that the rock is intact and there is no evidence of major joints or cavities. Blasting was completed in two rounds: First the lower part (up to spring level) and then the upper part (arch shape) in a controlled manner i.e., by limiting the maximum charge per delay. Vibration studies were conducted for both the rounds using Minimate Plus) 077 Seismographs, placed on the sidewall. The threshold limits of PPV for different degrees of rock damage are proposed from extrapolated vibration predictor equation. The actual overbreak in the tunnel was measured from the tunnel profiles using a Planimeter. It was found that the percentage overbreak varied from 2.45 to 16.07. The predicted overbreak from extrapolated PPV measurements is compared against the measured overbreak to validate the proposed blast-induced rock damage (BIRD) assessment model. The PPV threshold level, for incipient crack growth was found to vary from 1300 to 2000 mm/s; for crack widening from 2000 to 2800 mm/s and for overbreak from 2800 to 5200 mm/s.
Quantifying the errors in gravity reduction

Mistakes in processing gravity data lead to errors in the final product. This can mean that overlapping gravity surveys are often incompatible, and can lead to incorrect geological interpretations. In this paper I demonstrate the magnitude of the errors introduced at various stages of the gravity reduction process. I have focussed on errors relating to calibration factors, time zones and time changes, height, geodetic datums, gravity datums, and the equations involved therein. The errors range from below the level of detection, to many milligals. The results highlight the need to not only be diligent and thorough in processing gravity data, but also how it is necessity to document the steps taken when processing data. Without properly documented gravity surveys they cannot be reprocessed should an error be identified.