Miracle-dz/UniFAR-FTUs huggingface dataset:
Control of Calcium Homeostasis and Load Regulation in a Ventricular Z-Plane Model

Calcium is considered one of the most important ions involved in the intricate workings of the heart. The control of intracellular calcium is crucial to the process called excitation-contraction coupling, enabling the chambers of the heart to contract and relax. It is involved in some of the most common heart diseases, like cardiac disfunction and arrhythmias, so knowing how it behaves during the calcium homeostasis cycle, the process of self-regulation which takes place in every beat, it is crucial for medical purposes. If we want to understand the basic physiology of this organ it is important to study in detail how calcium moves through the various organelles of the myocyte provoking this process. In this work, calcium fluxes will be studied in order to better understand the mechanisms of self-regulation of calcium concentrations in ventricular myocytes. It will require the comprehension of the intracellular calcium dynamics and their interaction and influence in the different microdomains of the cell. Be aware of ryanodine receptors and sarcoplasmic reticulum importance as well as the different mechanisms to increase or reduce the concentration of this ion in the myocyte, and study how these mechanism affect to cytosolic calcium concentration, which at the end is the responsable of the cardiac response. We will investigate the formation of steady state solutions and how the NCX work for getting stable responses. In this way a subsequent study has been carried out by means of simulations using a z-plane ventricular model to observe how different variables affect calcium homeostasis.
Advanced Energy Optimization Algorithms for 2D and 3D Video-Based Graphics Applications

Videos have become an important part in our daily lives. Thankfully, the recent shift to an entire digital video pipeline allowed the introduction of improved tools and algorithms for professional video processing. Therefore, despite its complexity, video processing has never been easier to use and more available to the general public than it is today. However, due to the rapid technological advances new challenges in video processing have emerged. The ability to capture high definition content has often outpaced the progress of computing hardware. Furthermore, with the renaissance of stereoscopic 3D a new dimension is added to video processing algorithms. This additionally increases computational demands as well as it introduces its own sets of problems. Moreover, the ubiquitous of currently available displays results in a wide range of possible video output formats. Viewers consume video content on small handhelds as well as on high definition glasses-free 3D displays. This requires sophisticated video processing methods to ensure best viewing conditions on all output devices. This thesis aims at improving the way 2D and 3D video content can be adapted and artistically enhanced. The first two challenges emerge from the content-display gap. Often the resolution and aspect ratio of the output display may significantly vary from the original content. This thesis introduces a novel image domain warping (IDW) framework and shows that it can be utilized to fit content to different display dimensions without introducing too much noticeable artifacts. We present a novel efficient system that gives complete artistic control over this retargeting process. A similar content-display gap also exists for stereoscopic productions. Different display dimensions result in different depth perception. To counteract those undesired depth changes we will extend the technique of IDW to be able to change the depth perception of 3D content. Our novel method does not only allow to close the 3D-content display gap, but also gives artists a new innovative post processing tool to locally modify the depth composition. We introduce disparity mapping operators. These operators formalize insights from perception and production rules and are the basis for a general framework for stereoscopic disparity editing. Moreover, we use the same novel IDW approach to generate multi-view video
INVESTIGATION OF CERTAIN PERFORMANCE CHARACTERISTICS OF A THALLIUM ACTIVATED SODIUM IODIDE SCINTILLATION DETECTOR

An investigation and quantification of certain performance characteristics of a flat type 3” x 3” thallium activated sodium iodide scintillation detector was carried out. Certain performance characteristics like the operating voltage, the energy calibration, the photomultiplier tube (PMT) gain, the detector resolution and detector efficiency of the detector were determined and discussed. A quality assurance programme was carried out in laboratories of North Eastern Hill University, Shillong, India and Bhabha Atomic Research Centre (BARC), Mumbai, India to validate our analytical method for determination of radio-nuclides in environmental samples. The quality of the data generated by cross-checking method assures that the NaI(Tl) detector which is used for our study is efficient and trustworthy whereby data generated by it can be considered authentic and of acceptable quality.
Analysis of Socio-Economic Characteristics and Utilization of Healthcare Facilities in Owo Local Government Area of Ondo State, Nigeria

This paper examines the socio-economic characteristics of residents and their utilization of available healthcare facilities in Owo local government area of Ondo State, Nigeria. The data utilized in the paper draws on systematic sampling of 368 health consumers in the study area. Findings revealed that socio-economic characteristics play a significant role in determining the frequency of visits to healthcare facilities, this is substantiated with the chi-square test result that revealed a significant relationship between marital status and frequency of visits to healthcare facilities with χ² = 29.175 and significant at p = 0.004 level, as well as income of households and the frequency of visits to healthcare facilities with χ² = 20.961 and significant at p = 0.007 levels. The paper therefore concluded that efforts should be put in place to improve the socio-economic status of individuals through multi-sectoral development activities such as micro-credit facilities and provision of employment opportunities which is believed will invariably improve their access and utilization of healthcare facilities.
Contributions of type II and Ib/c supernovae to Galactic chemical evolution

Type II and Ib/c supernovae (SNe II and Ib/c) have made major stellar nucleosynthetic contributions to the inventories of stable nuclides during chemical evolution of the Galaxy. A case study is performed here with the help of recently developed numerical simulations of Galactic chemical evolution in the solar neighborhood to understand the contributions of SNe II and Ib/c by comparing the stellar nucleosynthetic yields obtained by two leading groups in this field. These stellar nucleosynthetic yields differ in terms of their treatment of stellar evolution and nucleosynthesis. The formulation describing Galactic chemical evolution is developed with the recently revised solar metallicity of ∼0.014. Furthermore, the recent nucleosynthetic yields of stellar models based on the revised solar metallicity are also used. The analysis suggests that it could be difficult to explain, in a self-consistent manner, the various features associated with the elemental evolutionary trends over Galactic timescales by any single adopted stellar nucleosynthetic model that incorporates SNe II and Ib/c.
Hot carbon corona in Mars’ upper thermosphere and exosphere: 1. Mechanisms and structure of the hot corona for low solar activity at equinox

Two important source reactions for hot atomic carbon on Mars are photodissociation of CO and dissociative recombination of CO+; both reactions are highly sensitive to solar activity and occur mostly deep in the dayside thermosphere. The production of energetic particles results in the formation of hot coronae that are made up of neutral atoms including hot carbon. Some of these atoms are on ballistic trajectories and return to the thermosphere, and others escape. Understanding the physics in this region requires modeling that captures the complicated dynamics of hot atoms in 3‐D. This study evaluates the carbon atom inventory by investigating the production and distribution of energetic carbon atoms using the full 3‐D atmospheric input. The methodology and details of the hot atomic carbon model calculation are given, and the calculated total global escape of hot carbon from the assumed dominant photochemical processes at a fixed condition, equinox (Ls = 180°), and low solar activity (F10.7 = 70 at Earth) are presented. To investigate the dynamics of these energetic neutral atoms, we have coupled a self‐consistent 3‐D global kinetic model, the Adaptive Mesh Particle Simulator, with a 3‐D thermosphere/ionosphere model, the Mars Thermosphere General Circulation Model to provide a self‐consistent global description of the hot carbon corona in the upper thermosphere and exosphere. The spatial distributions of density and temperature and atmospheric loss are simulated for the case considered.
Evolving Fuzzy Model (eFuMo) Method for On-line Fuzzy Model Learning with Application to Monitoring System

With evermore complex system the monitoring and fault detection is becoming a crucial part of control systems. They allow fast and effective fault diagnosis and can decrease the cost of system maintenance. Modelling of processes plays a crucial part when designing a monitoring system. In this paper an on-line approach for modelling of fuzzy model is presented (Evolving Fuzzy Model eFuMo). As demonstrated in the paper, the method can be used in the design of model based fault detection system.
Context-Aware Model Applied to HOG Descriptor for People Detection

This work proposes and implements a method based on Context-Aware Visual Attention Model (CAVAM), but modifying the method in such way that the detection algorithm is replaced by Histograms of Oriented Gradients (HOG). After reviewing different algorithms for people detection, we select HOG method because it is a very well known algorithm, which is used as a reference in virtually all current research studies about automatic detection. In addition, it produces accurate results in significantly less time than many algorithms. In this way, we show that CAVAM model can be adapted to other methods for object detection besides Scale-Invariant Feature Transform (SIFT), as it was originally proposed. Additionally, we use TUD dataset image sequences to evaluate and compare our approach with the original HOG algorithm. These experiments show that our method achieves around 2x speed-up at just 2% decreased accuracy. Moreover, the proposed approach can improve precision and specificity by more than 2%.
A COMPARATIVE CHROMOSOMAL COUNT AND MORPHOLOGICAL KARYOTYPING OF THREE INDIGENOUS CULTIVARS OF KALONGI (NIGELLA SATIVA L.)

In the present study karyotypic analysis of three cultivars of Nigella sativa L. , has been carried out to determine chromosomal position by using “Feulgen stain”. The diploid chromosomes were twelve in numbers, characterized in six pair of chromosomes. All the cultivars had similar chromosomal formula 2n = 12 = 10 m + 2T. The total length of chromosomes among the land races of Kohat, (10.84µm to 4.50 µm), Faisalabad (10.00µm to 4.50µm) and Kashmir (4.66 µm to 8.16 µm) were calculated. Based on the centromeric position, there is a slight variation in the total length of the chromosome complements of Kohat and Faisalabad, whereas cultivars of Kashmir was found with much smaller chromosomal length. The variation in centromeric position and chromosomal length among these cultivars may be attributed to genetic recombinations.
Modeling the NIR-silhouette massive disk candidate in M 17

Aims. The physical properties of the massive disk candidate in the star-forming region M 17 are analyzed. Methods. Making use of the rare configuration in which the gas and dust structure is seen in silhouette against the background radiation at λ = 2.2 µm, we determine the column density distribution from a high-resolution NAOS/CONICA image. The influence of scattered light on the mass determination is analyzed using 3D radiative transfer calculations. Further upper flux limits derived from observations with the Spitzer telescope at MIR wavelengths are used together with the NACO image to estimate the flux from the central object. For a range of stellar radii, stellar surface temperatures, and dust grain sizes, we apply three different models to account for the observed fluxes. The stability of the disk against self-gravitational forces is analyzed calculating the ratio of the gravitational acceleration by the central object and the disk, and the deviations from a Keplerian profile. Results. We find that the column density is consistent with a central source surrounded by a rotationally symmetric distribution of gas and dust. The extent of the symmetric disk part is about 3000 AU, with a warped point-symmetrical extension beyond that radius, and therefore larger than any circumstellar disk yet detected. The modeling yields a radial density powerlaw exponent of −1.1 indicating a flat radial density distribution, and a large e-folding scale height ratio H/R of about 0.5. The mass of the entire disk estimated from the column density is discussed depending on the assumed distance and the dust model and ranges between 0.02 and 5 M� . We conclude that unless a star is located close to the disk in the foreground, scattered light will have little influence on the mass determination. We present a Spitzer image taken at λ = 7.8 µm with the disk seen in emission and identify polycyclic aromatic hydrocarbon (PAH) emission on the disk surface excited by the nearby massive stars as a possible source. Our 3D radiative transfer calculations for the scattered light image of the central source through an edge-on disk indicate that the elliptical shape seen in the NACO image does not require the assumption of a binary system and that it is consistent with a single object. We derive stellar main sequence masses of several M� ,5 0M� ,o r 10M� , depending on our assumptions that the extinction of the stellar flux is dominated (i) by the outer disk, (ii) by an inner disk comparable to the disks around intermediate-mass stars, or (iii) by an inner disk with dominating hot dust emission. We find that even for a star-disk mass ratio of 1, only the outer parts of the circumstellar disk may be influenced by self-gravity effects due to the large e-folding scale height ratio.
COMPARATIVE EVALUATION OF ANTIMICROBIAL EFFICACY OF ODONTOPASTE, CHLORHEXIDINE AND PROPOLIS AS ROOT CANAL MEDICAMENTS AGAINST ENTEROCOCCUS FAECALIS AND CANDIDA ALBICANS

The aim of this study is to compare the antimicrobial efficacy of Odontopaste, Chlorhexidine and Propolis as root canal medicaments against Enterococcus faecalis and Candida albicans. Under strict aseptic conditions, microbiological sampling is performed using agar diffusion and broth dilution methods for antibacterial sensitivity. There is a statistically significant difference between three medicaments used against Enterococcus faecalis and Candida albicans. With-in the limitations of the study, Odontopaste has better antibacterial efficacy against Enterococcus faecalis followed by Chlorhexidine, Propolis shows partial antifungal efficacy against Candida albicans. Experimental article (J Int Dent Med Res 2012; 5: (1), pp. 14-25)
Features of an Innovative Company in the Opinion of the Business Entities and the Business Environment Institutions

The aim of this paper is to present key features of innovative enterprise in opinion of entrepreneurs and Business Environment Institutions. The survey conducted among entities from selected EU region reveals how innovativeness is described by entrepreneurs and institutions which supporting them. It appears that the key feature of an innovator is ability to quickly adapt to market changes by modifying offered products and processes. The significant problem, identified by the survey, is insufficient cooperation between entrepreneurs and universities/research centres. Only nineteen per cent of respondents believe that close collaboration with these institutions may have a positive influence on creating innovative solutions. Nine per cent of them believe that hiring academics is a key feature of innovative company. According to this, it is indispensable to create adequate mechanisms, which on the one hand would activate academic world to commercialize their research and on the other hand improve the research information flow.
Keeping one step ahead: tandem, an assessment and intervention programme for parents of adolescents at risk of problem behaviour.

This research emerged from a recognised need arising from other research literature as well as clinical practice to identify and intervene with adolescent problem behaviour at its earliest stages. Working with parents as co-facilitators with the clinician was acknowledged as being the primary means of motivating and supporting adolescents to alter behavioural patterns that if left unattended would most likely lead to complications of a legal and self-harming nature. The importance of looking to parents as the main focus of intervention recognised both the major influence of parents in the life of the adolescent and the underlying prerequisite of a warm, supportive, and hence protective family environment to promote adaptive adolescent development. These essential aspects gave rise to the TANDEM programme, with “The Family Check-Up” (Dishion, Kavanagh & Kiesner, 1999) providing the developmental model. As the focus of this research, this programme aimed to ameliorate dysfunctional adolescent behaviour through clear identification of harmful risk-behaviour, the involvement of the parent in this assessment process, and the supportive development of appropriate skills and self-attributes within the parent as a means of reducing problem adolescent behaviour and an improved parent-adolescent relationship. The principal theoretical orientation of this research was cognitive-behavioural. At the outset, an assessment instrument was developed to identify harmful adolescent risk-behaviour. This development also served to identify domains that reflected normal adolescent risk-behaviour. The development of the assessment instrument commenced with a preliminary investigation of adolescent behavioural patterns. Data for the preliminary investigation was obtained from a metropolitan sample of male and female adolescent high school students (n = 187) ranging in age from 12 to 17 years (M = 14.53 years, SD = 0.50 years). A factor analysis of this data suggested the ongoing
CRACK GROWTH XFEM ANALYSIS USING PARALLEL PROCESSING AND OPTIMUM NUMERICAL METHODS

In this paper, crack growth analysis program using extended finite element method, is solved in parallel and the most optimum numerical method is presented. XFEM is the method for overcoming some FEM difficulties. For instance, if the domain includes time variable discontinuity, re-meshing of the entire or part of the domain is needed in every time step of discontinuity development. In XFEM, model meshing is done regardless of discontinuities existence and then they will be modelled by some enrichment functions. This procedure advantage is that the domain degree of freedom remains constant, so it isn't necessary solving a big system of too many equations. Moreover, in this research the best numerical method for solving XFEM system of equations is investigated by the implementation of various iterative methods. Krylov Subspace methods, which were a revolutionary in system of equations iterative solving, have been used for the XFEM problem. Parallel processing is employed to make the problem solving faster. g,�CrackGrowthAnalysis,�IterativeSolution,�Krylo vSubspace� Researcheshavebeenguidedtodevelopnew,�faster� andmore� accuratemethodsasaconsequenceofnecessityofa nalyzing� variousindustrialproblems. �Numericalmethodsare� themost� desiredmethodsamongvarioustechniques. �Researche shave� beenobligedtomakewideusageofhigh-speedcompu ters� becauseofcomplexityofproblems. �Duetothefact� thatexact� solutionofalltechnicalproblemsisimpossible,� n umerical� methodsareofgreatvalue. � Computationalmechanicsis� employedasoneofthemostefficienttechniques. � W hile� emergenceofFiniteElementMethodinrecentcentur yisthe� reasonwhyindustry,�especiallyinstructuralanaly sisfield,�has�
AHybridModel for Accurate Energy Analysis of WSNNodes

Energy modeling is an important issue for designing and dimensioning low power wireless sensor networks (WSN). In order to help the developers to optimize the energy spent by WSN nodes, a pragmatic and precise hybrid energy model is proposed. This model considers different scenarios that occur during the communication and evaluates their energy consumption based on software profiling as well as the hardware components power profiles. The proposed model is a combination of analytical derivations and real time measurements. Firstly, the analytical model provides a global view of various elements of the link and MAC layers and shows their impact on the energy consumption. Secondly, the real-time measurements provide an accurate estimate of the power consumption of the software as well as the hardware platform. These experiments are particularly useful to understand the MAC layer mechanisms, such as wake up or data collisions for the preamble sampling category, and the energy wasted by collisions is evaluated. The presented model is validated under a specific setup with three different test cases. The results verify that the relative error is between 1 to 8%.
Investigating the Extent to Which Personality Traits and Demographics Affect Job Satisfaction

The primary concern of this paper is to investigatethe extent to which three variables (i.e. personality traits, demographic variables, and job satisfaction) are interrelated with each other and what effect they have on each other in relation to the UK retail sector. The four different types of retail stores i.e. Tesco, Primark, Ikea and WH Smith were selected for survey purpose to minimise the class biasness.Total 300 close-ended questionnaires were distributed and 220 responses were obtained.The findings reveal that i®Neuroticismi¯ is negatively associated with job satisfaction as well as with i®Extraversioni¯. However, it is positively correlated with other three personality groups including i®Agreeablenessi¯, i®Conscientiousi¯, and i®Opennessi¯. On the other hand, i®Openness to experiencei¯ has a negative relationship with i®Agreeablenessi¯. It is also found from the ranking analysis that employees with i®Agreeablenessi¯ and i®Conscientiousnessi¯ personalities are more successful in their career and consequently they are more satisfied with their jobs.
Exascale Machines Require New Programming Paradigms and Runtimes

Extreme scale parallel computing systems will have tens of thousands of optionally accelerator-equipped nodes with hundreds of cores each, as well as deep memory hierarchies and complex interconnect topologies. Such exascale systems will provide hardware parallelism at multiple levels and will be energy constrained. Their extreme scale and the rapidly deteriorating reliability of their hardware components means that exascale systems will exhibit low mean-time-betweenfailure values. Furthermore, existing programming models already require heroic programming and optimization efforts to achieve high efficiency on current supercomputers. Invariably, these efforts are platform-specific and non-portable. In this article, we explore the shortcomings of existing programming models and runtimes for large-scale computing systems. We propose and discuss important features of programming paradigms and runtimes to deal with exascale computing systems with a special focus on data-intensive applications and resilience. Finally, we discuss code sustainability issues and propose several software metrics that are of paramount importance for code development for ultrascale computing systems.