Miracle-dz/UniFAR-FTUs huggingface dataset:
Particle Hemodynamics Analysis after Coronary Angioplasty

The resistance to flow through a stenosis caused by viscous friction, flow separation, turbulence, and eddies at the site of the stenosis results in energy loss. Energy loss produces pressure loss distal to the stenosis and thus a pressure gradient across the narrowed segment. Assessment of shear stress, along with percent stenosis, in arterial lesions might prove to be a valuable diagnostic tool to identify patients at risk of developing acute platelet thrombus formation in stenosed arteries. The goal is to provide a logical approach to the use of coronary physiological measurements to assist both clinicians and investigators in improving patient care.
Modified local tetra pattern based CBIR system

Content based image retrieval (CBIR) is a method of retrieving images from large image database, which has been found according to user's interest. This paper represents high order local pattern descriptors. Image features are extracted using these descriptors. Image retrieval and indexing algorithm uses these local patterns for content-based image retrieval (CBIR). The local binary pattern (LBP) and local ternary pattern (LTP) encode the relationship between the referenced pixel and its neighbors by calculating gray- level difference. It can extract more detailed information than first order LBP. The local tetra pattern (LTrP) encodes the relationship between the referenced pixel and its surrounding neighbors, based on the directions that are calculated using the first-order derivatives in horizontal and vertical directions. To get more effective result we proposed new method that is modified local tetra pattern (MLTrP). It encodes relationship between pixel based on the directions which are calculated using first order derivatives in horizontal, vertical and diagonal direction. This will improve the performance of the system in terms of average precision and average recall.
Effect of hydrodynamic conditions on water eutrophication: A review

Hydrodynamic conditions,including the flow velocity,discharge and water disturbances,play a key role in the occurrence,development,continuation and extinction of eutrophication.In order to prevent and control eutrophication,it is vital to study the influence of hydrodynamic conditions on eutrophication.Hydrodynamic conditions can not only affect the growth and interspecific competition of algae,but also change natural environment and nutrient loads of the water body.More details are as follows. (1)The flow velocity has a very significant effect on algae aggregation and distribution,as well as nutrients and the dominant algae.It is also found that there is an adaption period of the growth of algae biomass to the change of the flow velocity. (2) Discharge makes an effect on eutrophication mainly by altering the flow velocity and water quantity. (3) Water disturbance,which mainly originating from wind and tide et al,directly acts on algae cells and groups in strengthening the aggregation of algae,as well as influences the mixture and transportation of nutrients in vertical and horizontal directions.Reynolds Number and the type of water circulation are also regarded as hydrodynamic factors,which can make influence to eutrophication.At present,the study of hydrodynamic conditions' impacts on eutrophication is still in the stage of qualitative research.Some key issues,such as the influence on nutrients,the law of hysteretic nature and critical value of hydrodynamic conditions,still need further study.
CAPITAL PÚBLICO Y PRODUCTIVIDAD DE LA ECONOMÍA ESPANOLA

The aim of this paper is to analyze the role of public capital, specially the role played by the different types of infrastructures and their territorial distribution in the productivity gains of the Spanish private sector. The analysis is carried out starting from an estimation of Spanish public capital endowments, elaborated, for the first time, by the Instituto Valenciano de Investigaciones Economicas and dissagregated functionally and territorially into the 17 Spanish regions. After a brief description of the Spanish public and private endowments and their relation to other OCDE countries as well as of the public capital stock structure, the capacity of public capital to explain productivity gains in the Spanish economy is analyzed, obtaining as a main result that the public capital stock structure is relevant for private productivity and that the infrastructures directly linked to the production process have a more significant and positive effect than the social ones. El objetivo de este trabajo es analizar el papel que el capital publico, los tipos de infraestructuras en los que se concreta y la distribucion territorial de las mismas desempenan en las ganancias de productividad del sector privado de la economia espanola. El analisis se realiza a partir de la elaboracion por el Instituto Valenciano de Investigaciones Economicas de la primera estimacion de dotaciones de capital publico de las Administraciones Publicas con desagregacion funcional y territorial por Comunidades Autonomas. Tras una breve descripcion de los datos basicos de la economia espanola en lo que se refiere a dotaciones de capital publico y privado en comparacion con diversos paises de la OCDE, asi como de la composicion del stock de capital publico en Espana, se analiza la capacidad del capital publico para explicar las ganancias de productividad de la economia espanola tanto a nivel agregado como a nivel regional, obteniendose como principal resultado que la composicion del stock de capital publico se muestra relevante para explicar la productividad privada, y las infraestructuras ligadas directamente al proceso productivo presentan un efecto positivo y mis significativo que las sociales.
A Sequential Factorization Method for Recovering Shape and Motion from Image Streams

We present a sequential factorization method for recovering the three-dimensional shape of an object and the motion of the camera from a sequence of images, using tracked features. The factorization method originally proposed by Tomasi and Kanade produces robust and accurate results incorporating the singular value decomposition. However, it is still difficult to apply the method to real-time applications since it is based on a batch-type operation and the cost of the singular value decomposition is large. We develop the factorization method into a sequential method by regarding the feature positions as a vector time series. The new method produces estimates of shape and motion at each frame. The singular value decomposition is replaced with an updating computation of only three dominant eigenvectors, which can be performed in time, while the complete singular value decomposition requires operations for a matrix. Also, the method is able to handle infinite sequences since it does not store any increasingly large matrices. Experiments using synthetic and real images illustrate that the method has nearly the same accuracy and robustness as the original method. O P ( ) O FP ( ) F P × A Sequential Factorization Method for Recovering Shape and Motion from Image Streams Toshihiko Morita and Takeo Kanade 8 June 1994 CMU-CS-94-158 This research is sponsored by the Department of the Army, Army Research Office under Grant No. DAAH04-94-G0006. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Department of the Army or the U.S. Government. ACM Computing Reviews
An early Holocene narwhal tusk from the Canadian high Arctic

A narwhal (Monodon monoceros) tusk from 34 m above sea level and located at 82°N on the northwest coast of Ellesmere Island has been radiocarbon dated at 6,830 ± 50 B.P. It was collected from a narrow coastal strip which is isolated from the adjacent Arctic Ocean by glacier ice, ice shelf and multiyear pack ice. The specimen represents an early Holocene range extension of 400–700 km over the present. Because the narwhal requires abundant open water to survive, the Holocene tusk is an important independent item of proxy data on palaeoclimatic change. Contemporary migration routes are directly related to seasonal sea ice in the inter-island channels of the central Canadian Arctic archipelago. The presence of a narwhal on the northwest Ellesmere Island coast at 6,830 ± 50 B. P. suggests that sea ice and ice-shelf conditions were more favourable at that time. A comprehensive chronological framework for late Quaternary and Holocene geomorphic/climatic events from northern Ellesmere Island records a warm early Holocene characterized by abundant driftwood entry into the high Arctic. This was followed by a mid-Holocene climatic deterioration during which the ice shelves of the Ellesmere coast formed. Therefore, the narwhal tusk is further evidence that a period of maximum postglacial warmth occurred during the early Holocene in the Canadian high Arctic.
Machine learning for identifying patterns in human gait

Neurological patients can have severe gait impairments that contribute to fall risks. Predicting falls from gait abnormalities could aid clinicians and patients mitigate fall risk. The aim of this study was to predict fall status from spatial-temporal gait characteristics measured by a wearable device in a heterogeneous population of neurological patients. Participants ( n = 384, age 49-80 s) were recruited from a neurology ward of a University hospital. They walked 20 m at a comfortable speed (single task: ST) and while performing a dual task with a motor component (DT1) and a dual task with a cognitive component (DT2). Twenty-seven spatial-temporal gait variables were measured with wearable sensors placed at the lower back and both ankles. Partial least square discriminant analysis (PLS-DA) was then applied to classify fallers and non-fallers. The PLS-DA classification model performed well for all three gait tasks (ST, DT1, and DT2) with an evaluation of classification performance Area under the receiver operating characteristic Curve (AUC) of 0.7, 0.6 and 0.7, respectively. Fallers differed from non-fallers in their specific gait patterns. Results from this study improve our understanding of how falls risk-related gait impairments in neurological patients could aid the design of tailored fall-prevention interventions.
On a model for quantum friction. I. Fermi’s golden rule and dynamics at zero temperature

- We investigate the dynamics of a quantum particle in a confining potential linearly coupled to a bosonic field at temperature zero. For a massive field we show, by employing complex deformation techniques, that Markovian semigroup which approximates the particles dynamics on the time scale r == ~2 t (A strength of the coupling) is determined by the resonances of the full energy operator. We also show that Markovian master equation technique leads to the right prediction for the life-time of resonances. We discuss the dissipation of the particle into its ground state both in the time mean and on the above time scale
Feature extraction using multi-temporal fully polarimetric SAR data

The main objective of this study was to explore the potential of the multi-temporal PolSAR data in LULC mapping and to evaluate the accuracy of classification using single date and multi-temporal data. Multi-temporal data acquired on three different dates were used. Advanced classification techniques Support Vector Machine and Rule Based Hierarchical approaches were performed on multitemporal ALOS PALSAR data to classify features at different temporal combinations. In this study, SVM classification was applied on the derived output of Yamaguchi decomposition model, for which kernel approach of second order polynomial was used. In Rule Based Hierarchical approach, Backscattering coefficients, Yamaguchi and H/A/Alpha decomposition statistics are computed and analyzed to estimate the decision boundaries of the features to separate feature at different hierarchical levels. SVM classified the PolSAR data efficiently of single data, highest overall accuracy and kappa statistics achieved was 67.65% and 0.61 from the individual image. Rule based classified map of single date, highest overall accuracy and kappa statistics achieved was 68% and 0.67. Based on the accuracy assessment, SVM and Rule Based classification both are approximately of same accuracy but comparatively Rule Based classification was accurate temporally. Rule Based classification was further considered for multi-temporal classification and achieved high overall accuracy and kappa statistics of 80% and 0.76. This proves that multi-temporal PolSAR data helps to increase the accuracy of classification in LULC mapping.
Experimental Investigation of Machining Parameters for EDM Using D 2 tool Steel

In this paper, the optimization of responses i. e. , Material Removal Rate (MRR), Tool Wear Rate (TWR) and OverCut (OC) of Electric discharge machining (EDM) has been accomplished using L27 orthogonal array based on Taguchi design. The influence of machining parameters i.e. Discharge current, pulse on time, duty cycle and voltage has been analysed on AISI D2 tool steel as a workpiece.The experimental results indicate that the proposed models could adequately describe the performance indicators within the limits of the factors that are being investigated. Finally the responses have been optimized for a given machining condition by analysis of variance (ANOVA) analysis.
3-D SHEAR VELOCITY STRUCTURE IN NORTH-WEST CHINA

Different tectonic units in North-West China, such as Junggar Basin, Altay Mt., Tian-shan Mt., Inner-Mongolian Fold Zone, Tarim Basin, Qaidam Basin and Qilian Mt., are discussed in the present study. It is found out based on the group velocity of Rayleigh wave and the relevant models of shear wave velocity in depth that Tarim Basin shows certain distinct features of a stable geological block, while other tectonic units belong to active areas. Their particular velocity distribution in depth are related to their tectonic evolution. A considerable portion of Bouguer gravity anomaly is contributed by the relief of Moho discontinuity. It is also found out that there exist obvious difference in velocity structure between eastern part (Beishan) and western part of Tianshan in the lid of the upper mantle. The high velocity lid in the upper mantle is related to the special stress field in this area.
Drosophila MAGI interacts with RASSF8 to regulate E-Cadherin-based adherens junctions in the developing eye

Morphogenesis is crucial during development to generate organs and tissues of the correct size and shape. During Drosophila late eye development, interommatidial cells (IOCs) rearrange to generate the highly organized pupal lattice, in which hexagonal ommatidial units pack tightly. This process involves the fine regulation of adherens junctions (AJs) and of adhesive E-Cadherin (E-Cad) complexes. Localized accumulation of Bazooka (Baz), the Drosophila PAR3 homolog, has emerged as a critical step to specify where new E-Cad complexes should be deposited during junction remodeling. However, the mechanisms controlling the correct localization of Baz are still only partly understood. We show here that Drosophila Magi, the sole fly homolog of the mammalian MAGI scaffolds, is an upstream regulator of E-Cad-based AJs during cell rearrangements, and that Magi mutant IOCs fail to reach their correct position. We uncover a direct physical interaction between Magi and the Ras association domain protein RASSF8 through a WW domain-PPxY motif binding, and show that apical Magi recruits the RASSF8-ASPP complex during AJ remodeling in IOCs. We further show that this Magi complex is required for the cortical recruitment of Baz and of the E-Cad-associated proteins α- and β-catenin. We propose that, by controlling the proper localization of Baz to remodeling junctions, Magi and the RASSF8-ASPP complex promote the recruitment or stabilization of E-Cad complexes at junction sites. Highlighted article: The apical scaffold protein Magi regulates localization of the polarity protein Bazooka and hence E-cadherin deposition and adherens junction remodelling in Drosophila eye epithelial cells.
Multilinear approach to the precipitation-lightning relationship: a case study of summer local electrical storms in the northern part of Spain during 2002-2009 period

Abstract. Storms developed under local instability conditions are studied in the Spanish Basque region with the aim of establishing precipitation–lightning relationships. Those situations may produce, in some cases, flash flood. Data used correspond to daily rain depth (mm) and the number of CG flashes in the area. Rain and lightning are found to be weakly correlated on a daily basis, a fact that seems related to the existence of opposite gradients in their geographical distribution. Rain anomalies, defined as the difference between observed and estimated rain depth based on CG flashes, are analysed by PCA method. Results show a first EOF explaining 50% of the variability that linearly relates the rain anomalies observed each day and that confirms their spatial structure. Based on those results, a multilinear expression has been developed to estimate the rain accumulated daily in the network based on the CG flashes registered in the area. Moreover, accumulates and maximum values of rain are found to be strongly correlated, therefore making the multilinear expression a useful tool to estimate maximum precipitation during those kind of storms.
Time‐dependent macrodispersion for solute transport in anisotropic heterogeneous aquifers

The expected values of the spatial second-order moments of a solute body transported by groundwater are derived for flow through heterogeneous formations of a stationary random anisotropic structure. They are based on a general formulation, which reduces to most existing results in the literature as particular cases. Detailed results are given for the spatial variance as a function of time in the case of axisymmetric anisotropy, average flow parallel to the plane of isotropy, first-order approximation in the log conductivity variance sigma/sub Y//sup 2/, and high Peclet numbers. These results fill the gap existing between the studies of Dagan (1982, 1984), on one hand, and those of Gelhar and Axness (1983) and Neuman et al. (1987), on the other. A preliminary investigation of the higher-order effects in sigma/sub Y//sup 2/ suggests that the use of the first-order approximations is warranted, at present, only for sigma/sub Y//sup 2/ << 1. The impact of the errors of estimation of the parameters on which transport depends is briefly analyzed.
Applying Interaction Design : A matter of working out guidelines in the design

Working in a software project is a challenge. People with different backgrounds are together working towards the goal of delivering a run able piece of software. As the development proceeds, different guidelines such as: Technology, quality directives, user goals, customer goals, style guides etc. will influence the design. This report will focus on the design of the graphical user interface and discuss how it benefits from making the guidelines explicit in the design process. Today it is identified that interaction design has a problem of reaching practical use in software industry. This thesis will present an approach to interaction design that can be used in practice in the complex nature of software development. The approach stresses the importance of not having only one perspective on design. A design group needs to have more than the end user’s perspective when developing an interactive product. In order to fit reality and fulfill user goals in the design, it is important to make the design process and its guidelines explicit to the developers. During this spring I have been involved in a large software engineering project, developing the interface design of an instant messaging application. In this Master thesis, I will explain how I developed my approach to interaction design in the organization of a project. I will also describe my experiences of working with the method of persona in order to make the user goals explicit in the design. The main purpose of this report is to show a practical way of working with interface design. The work resulted in traceability of design decisions, which was not the goal of this project, merely the result of an approach to design.
The Impact of Macroeconomic News on Exchange Rate Volatility

This study investigates the impact of new information on the volatility of exchange rates. The impact of scheduled US and European macroeconomic news on the volatility of USD/EUR 5-minute returns was tested by using the Flexible Fourier Form method. The results were consistent with earlier studies. Macroeconomic news increased volatility significantly, and news on the United States was the most important. The much-tested hypothesis of bad news having a greater impact on volatility was re-confirmed in this study. The announcements were also divided into two categories, the first containing the news that gave conflicting information on the state of the economy (bad and good news at the same time) and the other containing the news that was consistent (where either good or bad news was announced). Conflicting news was found to increase volatility significantly more than consistent news. The impact of 'no-surprise' news was also tested. Even news the forecast of which was equal to an announcement seemed to increase volatility.
Physiological significance of forest tree defoliation : results from a survey in a 1 mixed forest in Tuscany ( central Italy ) 2 3

A survey of tree crown defoliation and leaf physiological traits (chlorophyll a fluorescence, nitrogen content, and stable carbon isotope composition) was carried out in the thermophilous deciduous forests in Tuscany (central Italy). In contrast to large scale surveys, where variation in defoliation can be associated with the change in environmental conditions, in a limited homogenous area the defoliation of co-existing tree species may have different significance and depends on the interaction between the characteristics of each individual species with biotic stress and environmental conditions. The survey included measurements of structural and vegetational characteristics of the forest stands, such as Leaf Area Index (LAI), basal area and tree diversity, which is expressed as the Shannon diversity index. The five tree species studied (Castanea sativa, Quercus cerris, Quercus ilex, Quercus petraea and Ostrya carpinifolia) showed species-specific crown conditions and physiological features relative to stand structure and diversity. The shape of the crowns and their area (LAI) affected forest defoliation. Tree diversity reduced defoliation in C. sativa, which was the tree species most affected by defoliation, and likewise for Q.ilex. Chlorophyll a fluorescence parameters showed lower photosynthetic efficiency in defoliated C. sativa, O. carpinifolia and Q. petraea trees. Similarly, foliar nitrogen content decreased in defoliated C. sativa and O. carpinifolia trees, whereas δ13C was higher in defoliated C. sativa. These responses may be related to the health status of C. sativa, since it was subjected to pathogen damages and insect attacks. In contrast, the mast year in O. carpinifolia may have diverted the nutrient resources from leaves to fruits, and consequently explaining the physiological effects on the tree crown. These results suggest that the combined analysis of defoliation with foliar features and stand characteristics can provide insights into tree health and vitality.