Miracle-dz/UniFAR-FTUs huggingface dataset:
CENTRE FOR ECONOMETRIC ANALYSIS CEA@Cass

This paper provides a method for the analysis of the spatial and temporal diffusion of shocks in a dynamic system. We use changes in real house prices within the UK economy at the level of regions to illustrate its use. Adjustment to shocks involves both a region speci c and a spatial e¤ect. Shocks to a dominant region London are propagated contemporaneously and spatially to other regions. They in turn impact on other regions with a delay. We allow for lagged e¤ects to echo back to the dominant region. London in turn is inuenced by international developments through its link to New York and other nancial centers. It is shown that New York house prices have a direct e¤ect on London house prices. We analyse the e¤ect of shocks using generalised spatio-temporal impulse responses. These highlight the di¤usion of shocks both over time (as with the conventional impulse responses) and over space. JEL Classi cation: C21, C23 Keywords: House Prices, Cross Sectional Dependence, Spatial Dependence. We are grateful to Alex Chudik, Chris Rogers, Ron Smith, Elisa Tosetti, and participants in the Cambridge Finance Workshop for helpful comments where a preliminary version of this paper was rst presented.
Can AERONET data be used to model the monochromatic beam and circumsolar irradiances?

Can AERONET data be used to accurately model the monochromatic beam and circumsolar irradiances under cloud-free conditions in desert environment? Y. Eissa, P. Blanc, L. Wald, and H. Ghedira MINES ParisTech, PSL Research University, O.I.E. – Centre Observation, Impacts, Energy, CS 10207 – 06904 Sophia Antipolis CEDEX, France Masdar Institute, Research Center for Renewable Energy Mapping and Assessment, P.O. Box 54224, Abu Dhabi, United Arab Emirates
A Dual Mutation Scheme Embedded Evolutionary Programming for Continuous Optimization

Evolutionary Programming (EP) and Differential Evolution (DE) are well known as simple and efficient schemes for global optimization over continuous spaces. Both EP and DE use mutation for producing offspring. The mutation operators of EP usually generate the search step size for mutation by probability distribution functions while the mutation operators of DE generate it by adding a weighted difference vector between two individuals to a third individual. In this paper, a new EP algorithm is proposed based on dual mutation scheme (DMEP) as it incorporates both the mutation operators of EP and DE literature. Thus the balance between exploration and exploitation is obtained by two different categories of mutation operators. To evaluate the performance of the proposed scheme, a test-suite of 37 benchmark functions has been used and results have been compared with some prominent evolutionary systems. Experimental results show the remarkable effectiveness of the dual mutation scheme employed by DMEP. KeywordsEvolutionary Programming; Exploration; Exploitation; Distribution-Based Mutation Operators; Differential Mutation Operators
Morphology and morphometry of feline bone marrow-derived mesenchymal stem cells in culture1

Maciel B.B. , Rebelatto C.L. K. , Brofman P.R. S. , Brito H.F. V. , Patricio L.F. L. , Cruz M.A. & Locatelli-Dittrich R. 2014. Morphology and morphometry of feline bone marrowderived mesenchymal stem cells in culture. Pesquisa Veterinária Brasileira 34(11):11271134. Programa de Pós-Graduação em Ciências Veterinárias, Universidade Federal do Paraná, Setor de Ciências Agrárias, Rua dos Funcionários 1540, Juvevê, Curitiba, PR 80035-050, Brazil. E-mail: roslocdi@ufpr.br Mesenchymal stem cells (MSC) are increasingly being proposed as a therapeutic option for treatment of a variety of different diseases in human and veterinary medicine. Stem cells have been isolated from feline bone marrow, however, very few data exist about the morphology of these cells and no data were found about the morphometry of feline bone marrow-derived MSCs (BM-MSCs). The objectives of this study were the isolation, growth evaluation, differentiation potential and characterization of feline BM-MSCs by their morphological and morphometric characteristics. In vitro differentiation assays were conducted to confirm the multipotency of feline MSC, as assessed by their ability to differentiate into three cell lineages (osteoblasts, chondrocytes, and adipocytes). To evaluate morphological and morphometric characteristics the cells are maintained in culture. Cells were observed with light microscope, with association of dyes, and they were measured at 24, 48, 72 and 120h of culture (P1 and P3). The non-parametric ANOVA test for independent samples was performed and the means were compared by Tukey’s test. On average, the number of mononuclear cells obtained was 12.29 (±6.05x106) cells/mL of bone marrow. Morphologically, BM-MSCs were long and fusiforms, and squamous with abundant cytoplasm. In the morphometric study of the cells, it was observed a significant increase in average length of cells during the first passage. The cell lengths were 106.97±38. 16μm and 177.91±71. 61μm, respectively, at first and third passages (24 h). The cell widths were 30.79±16.75 μm and 40.18±20. 46μm, respectively, at first and third passages (24 h). The nucleus length of the feline BM-MSCs at P1 increased from 16. 28μm (24h) to 21. 29μm (120h). However, at P3, the nucleus length was 26. 35μm (24h) and 25. 22μm (120h). This information could be important for future application and use of feline BM-MSCs.
Study on Theoretical Aspects of Virtual Data Integration and its Applications

Data integration is the technique of merging data residing at different sources at different locations, and providing users with an integrated, reconciled view of these data. Such unified view is called global or mediated schema. It represents the intentional level of the integrated and reconciled data. In the data integration system, our area of interest in this paper is characterized by an architecture based on a global schema and a set of sources or source schemas. The objective of this paper is to provide a study on the theoretical aspects of data integration systems and to present a comprehensive review of the applications of data integration in various fields including biomedicine, environment, and social networks. It also discusses a privacy framework for protecting user’s privacy with privacy views and privacy policies.
Synthesis Project: Context Recovery Through Meta-Sensing

The problem of multi-source integration of scientiﬁc data requires detailed knowledge of the representational formats for all data sources participating in the application. An instance of such a system is a sensori-motor network. In such a system, the position of a subject is maintained as it moves about an instrumented space. Visual sensory modes extract salient regions of interest as potential subjects to be tracked from pictures taken from their viewpoint of a scene. We must ensure that feature vectors computed from such regions of one sensor refer to the same object in the world viewed by another sensor as pose can aﬀect a sensor’s response. Across a multi-modal sensor system, data can diﬀer in any combination of resolution, feature vector representation, and mode. I examine the matching problem in a multi-modal sensori-motor network. Using a Convergent Computing approach for integrating poly-lingual systems, I treat feature vectors as object oriented types. With meta-information on a feature vector’s structure, equivalences between two diﬀerent representations can be found through a series of transformations. As disparate sensory modes diverge in their information content and semantics, the integration problem becomes more diﬃcult. In stochastic domains, feedback from the environment can improve matching.
A well-calibrated ocean microwave / imager algorithm for special sensor

I describe an algorithm for retrieving geophysical parameters over the ocean from special sensor microwave / imager (SSM/I) observations. This algorithm is based on a model for the brightness temperature Ts of the ocean and intervening atmosphere. The retrieved parameters are the near-surface wind speed W, the columnar water vapor V, the columnar cloud liquid water L, and the line-of-sight wind W_. I restrict my analysis to ocean scenes free of rain, and when the algorithm detects rain, the retrievals are discarded. The model and algorithm are precisely calibrated using a very large in situ database containing 37,650 SSM/I overpasses of buoys and 35,108 overpasses of radiosonde sites. A detailed error analysis indicates that the TB model rms accuracy is between 0.5 and 1 K and that the rms retrieval accuracies for wind, vapor, and cloud are 0.9 ms 1, 1.2 mm, and 0.025 mm, respectively. The error in specifying the cloud temperature will introduce an additional 10% error in the cloud water retrieval. The spatial resolution for these accuracies is 50 km. The systematic errors in the retrievals are smaller than the rms errors, being about 0.3 ms l, 0.6 mm, and 0.005 mm for W V, and L, respectively. The one exception is the systematic error in wind speed of -1.0 ms that occurs for observations within +20 ° of upwind. The inclusion of the line-of-sight wind WLS in the retrieval significantly reduces the error in wind speed due to wind direction variations. The wind error for upwind observations is reduced from -3.0 to -1.0 ms 4. Finally, I find a small signal in the 19-GHz, horizontal polarization (hpol) TB residual ATsn that is related to the effective air pressure of the water vapor profile. This information may be of some use in specifying the vertical distribution of water vapor.
ISSN 1392–124X (print), ISSN 2335–884X (online) INFORMATION TECHNOLOGY AND CONTROL

The aim of this paper is to create a new recommendation method that would evaluate the peculiarities of user groups, and to examine experimentally the efficiency of user clustering in order to improve the recommendations. To achieve this goal, we have analysed recommendation systems (RS), their components, operating principles and data, used for accuracy evaluation. The proposed method is based on user clustering; therefore, clustering-based RS are reviewed. Finally, the proposed method is presented and tested with the most appropriate data set of all that discussed in the overview. The research has disclosed dependencies of the efficiency of recommendations on the number of clusters. The experimental results have shown that the proposed method can be applied to high density databases and the results of recommendations are better than those of traditional methods.
Determinants of Online Review Credibility and Its Impact on Consumers' Purchase Intention

Consumers frequently rely on online reviews in forming purchase intentions, but at the same time have increasingly expressed reservations with regard to the credibility of online reviews in recent years. Given the lack of empirical research investigating how consumers assess the credibility of online reviews, this study examines determinants of online review credibility and its effect on consumers’ purchase intentions. Drawing upon elaboration likelihood theory, we develop a research model and empirically test it by means of structural equation modeling with data collected from 282 users of the online review website Yelp. Our findings suggest that factors based on argument quality, including accuracy, completeness and quantity of online reviews, as well as peripheral cues, including reviewer expertise, product/service rating and website reputation, both significantly impact online review credibility, which in turn positively influences consumers’ purchase intentions.
TIP-TILT-PISTON ACTUATORS FOR HIGH FILL-FACTOR MICROMIRROR ARRAYS

Tip-tilt-piston actuators for optical phased arrays with large deflection angle, large piston range, and fast update rates are demonstrated. The devices include bonded low-inertia micromirrors on top of actuators aimed to achieve >96% fillfactor arrays. The gimbal-less design methodology enables scaling devices down to a few 100 μm to allow future implementation of large arrays with <100 μsec update. Several different design architectures have been successfully fabricated and tested as individual devices, and as a 2x2 element array. Devices with square layouts are demonstrated with 800 μm down to 400 μm on a side. In each case the devices consist of 4 vertical combdrive rotators connected by 2 degree-of-freedom (DoF) linkages to a central stage. Each actuator can rotate bidirectionally to raise or lower its linkage, giving the stage the required 3 DoF. The stage is used as a platform for bonding of a thin, low-inertia mirror plate which then completely covers the actuator. A representative high field-factor actuator of 500 μm x 500 μm dimensions achieves optical deflection angles beyond -20° to 20° for both axes and greater than -12 μm to 12 μm pistoning, at <80V actuation. In comparison, a larger low field-factor device with a 600 μm diameter integrated micromirror is also demonstrated which utilizes 3 bi-directional actuators radially offset by 120° to achieve tip-tilt-piston actuation with -10° to 10° deflection in all axes and -30 μm to 30 μm pistoning.
Analysis and Suppression of Low-Frequency Noise for Two-Dimensional Integrated Magnetic Sensor

The noise in output signals from two-dimensional integrated magnetic sensors has been investigated in order to improve the accuracy of position sensing that is applicable to control of a magnetic self-levitation motor. The two-dimensional integrated magnetic sensor investigated herein was composed of a 64×64 array of Hall sensors and fabricated by a 0.18-m complementary metal-oxide-semiconductor (CMOS) standard process. The size of Hall element was 2.7×2.7m2. The dimension of one pixel in which Hall element was embedded was 7×7m2. From the measurement results of magnetic field, output fluctuation caused by the random telegraph noise (RTN) was observed and the value was about 5mVp-p. To reduce RTN, correlated double sampling (CDS) was introduced to integrated magnetic sensor. Using CDS, the noise voltage was reduced to 2.1mVp-p. It is revealed that CDS is useful method to suppress low-frequency noise which occurs on metal oxide semiconductor field effect transistor (MOSFET) in a pixel by RTN.
Polluting Emissions and GDP: Decoupling Evidence from Brazilian States

We provide a comprehensive analysis of the relationship between greenhouse gas (GHG) emissions and GDP in Brazil using both aggregate and state-level data. The trend or Kuznets elasticity is about 0.8 for Brazil, higher than that in advanced countries but below that of major emerging markets. The elasticity is somewhat higher for consumption-based emissions than for production-based emissions, providing evidence against the “pollution haven” hypothesis. Additional evidence comes from state-level data analysis where one can observe a great deal of heterogeneity but also some hope as far as decoupling is concerned. In addition to the trend relationship between emissions and output, we find that there does not seem to exist a cyclical relationship holding in Brazil at the aggregate level (despite having become more procyclical over time), but it does exist in a few states.
An Open-Source Hardware-In-The-Loop Virtualization System for Cybersecurity Studies of SCADA Systems

Industrial control systems are targeted by cyberattacks since Stuxnet in 2010 and attacks have increased in the past years wtr. interconnection with IT systems. Due to their contact with the real world, industrial systems must be protected and engineers must be trained accordingly. In this paper, we present a scalable physical process virtualization platform for cybersecurity study of SCADA systems. Our virtualization platform includes electronic interfaces and a software physical processes simulator, directly connected with the input/output cards of industrial control system hardware. Our system is entirely open source including electronic card schematics, printed circuit boards, embedded software and physical process simulation software and provides a reasonable real-time performance.
Multiscale analysis of MR mammography data Multiskalen-Analyse von MR-Mammography Daten

In this work we propose a method for automatically discriminating between different types of tissue in MR mammography datasets. This is accomplished by employing a wavelet-based multiscale analysis. After the data has been wavelettransformed unsupervised machine learning methods are employed to identify typical patterns in the wavelet domain. To demonstrate the potential of the proposed approach we apply a filtering procedure that extracts the wavelet-based image information related to tumour tissue. In this way we obtain a robust segmentation of suspicious tissue in the MR image. In dieser Arbeit wird ein Ansatz zur automatischen Unterscheidung verschiedener Gewebetypen in MR-Mammographie-Aufnahmen vorgestellt. Dies wird durch Anwendung der wavelet-basierten Multiskalen-Analyse erreicht. Nach Transformation der Daten in die Basis der Wavelets werden unüberwachte Lernverfahren eingesetzt, um spezifische Muster im Skalenraum zu identifizieren. Eine Filterung der Bildinformation, die als Tumor-typisch erkannt wurde, erlaubt eine Segmentierung des im klinischen Datensatz enthaltenen auffälligen Gewebes. keywords MR-Mammography, Multiscale-Analysis, Self Organizing Maps, Discrete Wavelet Transform
Tax Morale

Standard economic models of tax compliance have focused on enforcement-driven compliance. Notably, tax administrators also tend to place a great deal of emphasis on the importance of improving "tax morale" by encouraging voluntary compliance, creating a culture of compliance, and changing social norms. Tax morale does indeed appear to be an important component of compliance decisions, and there is strong evidence that tax morale operates through a variety of underlying channels. There is less evidence - to date - that indicates we know how to leverage these channels to improve compliance and revenue collection in a consistently successful way.
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Dovepress

php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2019:12 43–57 Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Dovepress
Pharmacological treatment option for low Bone Mineral Density and secondary osteoporosis in Anorexia Nervosa: A systematic review of the literature.

Objective: Although there are several evidence-based treatments available to increase Bone Mineral Density (BMD) and reduce fracture risk in aging men and women, there are still uncertainties regarding which treatments are efficacious in reducing lifetime fracture risk in women with Anorexia Nervosa (AN). Methods: Medline, PsychInfo, Embase and the Cochrane Database were searched for English Language Studies. Inclusion criteria were studies of females of any age with AN who received pharmacological treatment with the primary aim to increase BMD or reduce fracture risk. Data were extracted from each study regarding pharmacological treatment and dosage used, BMD and bone formation marker outcomes; and participant characteristics including age, Body Mass Index (BMI), duration of AN, and duration of amenorrhea. Results: 675 studies were reviewed, of which 19 fit the inclusion criteria and were included in the final review, investigating a total of 1119 participants; 10 of the 19 included studies were double-blind RCTs. The remaining studies consisted of prospective observational studies, a retrospective cohort study, a case-control study and five non-randomised control trials. Bisphosphonates were effective in increasing BMD in adult women with AN, while estrogen administered transdermally resulted in significant increases in BMD in mature adolescents with AN. Administration of Oral contraceptives (OC) did not significantly increase BMD in randomised or controlled trials, however, lifetime OC use was associated with higher spinal BMD. Conclusion: Future research should clarify the safety of long-term bisphosphonate use in adult women with AN, and verify that transdermal estrogen replacement increases BMD in women with AN.
Influencing Factors Analysis of the Development of Geothermal Energy Industry, a Case Study of Beijing, China

Rapid urbanization has resulted in severe demands on water, heat and energy resources, which threaten the sustainability of the urban economy and environment. Geothermal energy is one of the cleanest sources of energy and it plays an important role in the sustainability of the urban economy and environment. This paper employs Vector Autoregressive Model (VAR) model to detect the effects of water, heat and energy consumption on geothermal adoption and interactions among them. Beijing is chosen as a case study to investigate the water-heat-energy nexus and coupling coordination between geothermal adoption and regional economy. The results reveal that water consumption has mainly affected on geothermal adoption. Water consumption and energy consumption have negative effects on geothermal adoption while centralized heat supply has a positive effect on geothermal adoption. This paper also adopts gear model to investigate coupling coordination between geothermal adoption and regional economy. The rates of geothermal adoption and regional economy are various but they are in the good state of coupling coordination. In addition, the coupling coordination of geothermal adoption and regional economy has the potential to promote.
Assessment Of Factors Affecting Women Socio-Economic Development: The Case Of Wolaita Sodo Town Women Association

Women’s participation in the economic sphere is narrow and largely limited to domestic work and low paying menial jobs in the formal economic sphere due to social, economic, political and other factors. Thus,this study was conducted to assess factors that affect the socio economic development of women at Wolaita Sodo town. Primarily, the study is explanatory in nature and the data used in this paper is mainly primary but to some extent secondary data as well, quantitative and qualitative types of data was incorporated. In doing this research, 50 respondents were taken using a simple random sampling. A questionnairecontaining both open and closed ended questions was distributed. The collected data was analyzed by using both descriptive and inferential statistics. After data was coded and organized, statistical package for social sciences’ software was used to analyze and further cleaning. The finding of study revealed that in Wolaita Sodo town the majority of respondents were having an educational status 10-12 grades. The data shows that women had lower socio economic participation when compared with male counterpart. In addition, the finding of the study exhibited socio-cultural attitudes; lack of asset, gender inequality, religion factor and lack of collateral to access to credit were significantly associated with challenges of women socio-economic development on multivariate analysis at p-value less than 0.05. Moreover, there is traditional belief that considering women as weaker section of society. Hence, it is recommended that the government and other concerned bodies should work together with NGO’s and other organization to strengthen women socio-economic development through providing different skill training, diversification sources of women income, and so on.