Miracle-dz/UniFAR-FTUs huggingface dataset:
Jaysingpur GEOTECHNICAL CHARACTERIZATION CEMENT-FLY ASH – FIBERS MIX

The fly ash is a waste produced mostly from the burning of coal in thermal power station which contributes to environmental pollution. It is naturally-cementitious coal combustion by-product. Many studies have been reported in the literature on the performance evaluation of soil – fly ash system as well soil-fly ashfiber system. Although ample studies have been reported with randomly distributed fibers, relatively less amount of work is found in respect of polypropylene fibers and cement. In view of this, an experimental investigation being undertaken for the performance evaluation of polypropylene fiber-cement-fly ash system is proposed to be reported in Dissertation report. The objective of present investigation is to quantify the optimum quantity of randomly distributed fibers and cement on the performance in terms of unconfined compressive strength especially when it is planned to be used as sub base for foundation and also in highways The results obtained so far reveals that there is significant improvement in the compressive strength with inclusion of randomly distributed fibers. Further it is observed that the optimum moisture content increases and maximum dry density decreases with increase in percentage of polypropylene fibers with stabilized Fly ash.
Role of surface bonding in thermo physical properties of Indium nitride nano-semiconductor

In this paper we have analyzed the effect of size and number of atom-pairs in normalized per atom pair binding (cohesive) energy and melting temperature of the Indium nitride ( InN ) nano-particle using simple model approach. It is observed that the per-atom-pair binding (cohesive) energy and melting temperature are a quadratic function of the inverse of the particle size for InN nano-particle. The per atom-pair binding (cohesive) energy and melting temperature comes near that of their bulk value with increasing the particle size and same as the bulk material when the particle size is above than 100 nm.
HOMOMORPHISMS BETWEEN LIE JC∗-ALGEBRAS AND CAUCHY-RASSIAS STABILITY OF LIE JC∗-ALGEBRA DERIVATIONS

It is shown that every almost linear mapping h:A → B of a unital Lie JC∗ -algebra A to a unital Lie JC∗ -algebra B is a Lie JC∗ algebra homomorphism when h(2nu ◦ y) = h(2nu) ◦ h(y) , h(3nu ◦ y) = h(3nu)◦h(y) or h(qnu◦y) = h(qnu)◦h(y) for all y ∈ A , all unitary elements u ∈ A and n = 0, 1, 2, · · · , and that every almost linear almost multiplicative mapping h:A → B is a Lie JC∗ -algebra homomorphism when h(2x) = 2h(x) , h(3x) = 3h(x) or h(qx)qh(x) for all x ∈ A . Here the numbers 2, 3, q depend on the functional equations given in the almost linear mappings or in the almost linear almost multiplicative mappings. Moreover, we prove the Cauchy–Rassias stability of Lie JC∗ -algebra homomorphisms in Lie JC∗ algebras, and of Lie JC∗ -algebra derivations in Lie JC∗ -algebras. Mathematics Subject Classification: 17B40, 39B52, 46L05, 17A36.
Empowerment and Sport Feminism : A Critical Analysis

The idea that sport and physical activity empower women is common, perpetuated by sources as diverse as the popular media and feminist scholars. But not only is empowerment a notoriously under-theorised concept, it is especially problematic when applied to physical activity. While sport may appear to endow power (by helping women increase their confidence and self-esteem), organised physical activity could equally be said to disempower (it can make women feel inadequate, or convince them that their bodies are flawed and in need of re-working). Similarly, whatever empowering properties sport may nurture, these typically celebrate masculinities, tend to devalue other kinds of physical prowess and legitimise aggression. The data in this article includes a typology that classifies 38 recently published examples of sport feminist literature in the context of empowerment. The relationship between sport and empowerment is analysed and evaluated in detail. Articles are classified into one of four broad categories, based on firstly, the author's perspective on sport, and secondly, whether they recognise any contradictions in their position, and how they subsequently deal with these contradictions. For example, some scholars identify social contradictions physical activity simultaneously means empowering experiences and conforming to social expectations but they do not provide an adequate discussion of the issues. Careful analysis reveals that the literature does not adequately address these contradictions; it can only be concluded that it is not known if, how, why, or under what conditions, physical activity empowers women. It appears so obvious, natural and simple. Organised sport and fitness activities make women feel great about themselves and their bodies; they liberate women, give them autonomy and empower them. But what, precisely, is the mechanism of this process or phenomenon? Is it real? Or is it an illusion? Is it universal, or does it depend on the individual woman, or the sport? The assertion that sport empowers women is reinforced by both the popular media and respected scholars. The media often construe fitness pursuits as empowering. Women's fitness magazines, according to Tina Eskes and her colleagues, describe 'aerobics, weight-lifting and healthy eating habits . as ways of exercising command, control, and mastery over one's body, and consequently, one's life'. Advertisements often make bold assertions such as: 'You don't just shape your body. You shape your life'. Large corporations such as Nike also perpetuate myths that exercise and dieting empower women. Some feminist scholars recognise the contradictions and set out to explore them. Frequently, however, empowerment is inserted into discussions of women and sport with little explanation or consideration of the counterarguments. For example, can one conclude that a woman is empowered because she says that physical activity makes her 'feel better about herself?
Improving the Quality of multimedia Experience through sensory effects

In previous and related work sensory effects are presented as a tool for increasing the user experience of multimedia presentations by stimulating also other senses than vision or audition. In this paper we primarily investigated the relationship of the Quality of Experience (QoE) due to various video bit-rates of multimedia contents annotated with sensory effects (e.g., wind, vibration, light). Therefore, we defined a subjective quality assessment methodology based on standardized methods. The paper describes the test environment, its setup, and conditions in detail. Furthermore, we experimented with a novel voting device that allows for continuous voting feedback during a sequence in addition to the overall quality voting at the end of each sequence. The results obtained from the subjective quality assessment are presented and discussed thoroughly. In anticipation of the results we can report an improvement of the quality of the multimedia experience thanks to the sensory effects.
Range Image Sensor Based Eye Gaze Estimation by Using the Relationship Between the Face and Eye Directions

Abstract In this paper, we estimate the eye gaze by using the face direction to estimate the object of interest in an extensive area such as an educational display or museum exhibit. However, the direction of the gaze may differ from that of the face. Therefore, our approach was to use a method that utilizes both the face and eye directions to improve the accuracy of our estimation compared to only using the face direction. The first part of our study involved apprehending the relationship between the direction of the face and the eyes. The second part entailed estimating the eye gaze using this relationship. We then evaluated the effectiveness of this method in comparison to using the relationship with the face direction only.
Developing an Assessment Tool of ITIL Implementation in Small Scale Environments

Considering the problematic of IT Service Management (ITSM) frameworks Implementation in SMEs, among the various frameworks available for companies to manage their IT services, ITIL is recognized as the most structured and effective framework. Nevertheless, ITIL has been criticized for not been appropriate for small scale enterprises. This paper provided a practical tool formally developed according to Design Science Research (DSR) approach, it aimed to find out the key factors that affect ITIL implementation success in SMEs, the objective was to eliminate the misunderstanding of the IT service management model’s implementation purpose. It determines various Critical Success Factors (CSFs) of ITIL implementation, the weight of each CSF is calculated with Analytical Hierarchy Process (AHP) and the evaluation was executed in a Moroccan SME. Therefore, it provides an evaluation method in order to help researchers and managers to determine the issues related to local culture of SMEs while adopting ITIL Framework. Results show that the top management support is the most important factor for Moroccan SMEs. It is found that an approach for determining ITIL processes implementation sequencing order need to be developed in order to achieve quick wins.
Seamless Viewpoint Switching for Multiview Video

This paper presents a smooth viewpoint change scheme for multiview video using view interpolation based on image warping techniques. The proposed method produces high-quality scenes for continuously changing viewpoints and needs only cost-effective coding overheads. The proposed scheme facilitates seamless viewpoint-aware video playback and provides a new experience for video entertainments, like sports or performance.
Pattern-Directed Protection Valuation

Abstract : Because of the urgent security requirements in many existing general- purpose operating systems, the large investment committed to such systems, and the large number of protection errors embedded in them, the problem of finding such errors is one of major importance. This report presents an approach to this task, based on the premise that the effectiveness of error searches can be greatly increased by techniques that use 'patterns', i.e., formalized descriptions of error types. It gives a conceptual overview of the pattern- directed evaluation process and reports the authors' initial experience in formulating patterns from the analysis of protection errors previously detected in various systems, as well as in applying the pattern-directed technique.
Parameter identification and vibration control in Modular manipulators

The joint parameters of modular manipulators are prerequisite data for effective dynamic control. A method for identifying these parameters using fuzzy logic was devised to study modular redundant robots. Experimental modal analysis and finite element modeling were exploited to model the dynamics. The joint parameters of a nine degrees-of-freedom (9-DOF) modular robot have been identified. In addition, active vibration control based on a neural network and a genetic algorithm were investigated. Ideal control simulation results for a reduced dynamic model of the 9-DOF modular robot were then derived.
Efficient Simulation for the Maximum of Infinite Horizon Discrete-Time Gaussian Processes

We consider the problem of estimating the probability that the maximum of a Gaussian process with negative mean and indexed by positive integers reaches a high level, say b. In great generality such a probability converges to 0 exponentially fast in a power of b. Under mild assumptions on the marginal distributions of the process and no assumption on the correlation structure, we develop an importance sampling procedure, called the target bridge sampler (TBS), which takes a polynomial (in b) number of function evaluations to achieve a small relative error. The procedure also yields samples of the underlying process conditioned on hitting b in finite time. In addition, we apply our method to the problem of estimating the tail of the maximum of a superposition of a large number, n, of independent Gaussian sources. In this situation TBS achieves a prescribed relative error with a bounded number of function evaluations as n ↗ ∞. A remarkable feature of TBS is that it is not based on exponential changes of measure. Our numerical experiments validate the performance indicated by our theoretical findings.
Calcium/calmodulin dependence of nitric oxide synthase from Viviparus ater immunocytes

The calcium ion dependence of soluble and particulate nitric oxyde synthase (NOS) activity from Viviparus ater immunocytes was investigated. At a calcium ion concentration of 2 nM, the NOS activity measured by citrulline formation was 27.1 ± 2.2 and 9.3 ± 0.8 pmol/min/10 6 cell for soluble and particulate NOS, respectively. The increase in free calcium ion concentration to 300 nM increases enzyme activity to 57.5 ± 4.1 and 23.5 ± 1.2 pmol/min/10 6 cell, respectively. The 50 % activation of the calcium-dependent activity is 91 and 97 nM Ca 2+ for soluble and particulate enzymes. Trifluoperazine, an inhibitor of the calmodulin-dependent enzyme, partially inhibits both activities. Soluble NOS is five times more sensitive than particulate NOS. The behaviour of both activities with three NOS inhibitors (7-nitroindazole, S-methylisothiourea sulphate, diphenyleneiodonium) is very similar, with IC50 values that are not significantly different. The calcium ion dependence of NOS activities, in a range of free calcium ion variations, which are transiently observed in receptor-stimulated cells, suggests that nitric oxyde in V. ater immunocytes not only has a defensive role but also signalling relevance in cross talking between immunocytes and other cells.
PERFORMANCE OF THE CESR SUPERCONDUCTING RF SYSTEM AND FUTURE PLANS

As we have reported at the last SRF Workshop two years ago, staged transition of the Cornell Electron Storage Ring (CESR) RF System from normal conducting to superconducting was completed in September 1999 with installation of the fourth superconducting B-cell cavity [1]. Since that time the last cavity has been commissioned and RF system has operated stably providing CESR beams with up to 1.13 MW of RF power to support total beam current up to 800 mA. CESR is a symmetric energy ee collider operating in a bunch train mode with CLEO detector studying B meson decays at thte center of mass energy near the Υ(4S) resonance (≈5.3 GeV) [2]. At the same time CESR provides beams for experiments with synchrotron radiation (SR) at the Cornell High-Energy Synchrotron Source (CHESS). CHESS facility operates in a parasitic mode simultaneously with high-energy physics experiments at CLEO. The latest running period lasted nine months ending in June 2001. The emphasis was put on a steady running of the machine aiming to reach integrated luminosity of at least 10 fb. This goal was achieved by delivering of just over 11 fb. The typical total beam current at the start of the fill was 750 mA and typical RF power delivered to beam by one cavity was 280 kW. Beginning in the fall 2001 CESR will run at Υ resonances below Υ(4S), and during machine studies periods at J/Ψ resonances [3]. Eventually, after some hardware modification and upgrade, CESR will be able to operate over the energy range of 1.5 to 5.6 GeV with expected luminosity of 3×10 cms at 1.9 GeV. CLEO and CHESS will then operate in a time-sharing mode of operation. The CESR upgrade includes modification of the RF. Two more superconducting cavities will be added to provide higher total RF voltage for bunch shortening.
Due to Staphylococcus aureus PneumoniaPatients with Hospital-Acquired Primary Determinant of Outcome in Panton-Valentine Leukocidin Is Not the Presence of Genes Encoding

Published Ahead of Print 28 December 2011. 10.1128/JCM.06219-11. 2012, 50(3):848. DOI: J. Clin. Microbiol. Barriere and Vance G. Fowler Jr. Genter, Kevin R. Braughton, Frank R. DeLeo, Steven L. Yurong Zhang, Steven Y. C. Tong, Felicia Ruffin, Fredric C. Batu K. Sharma-Kuinkel, Sun H. Ahn, Thomas H. Rude, Due to Staphylococcus aureus Pneumonia Patients with Hospital-Acquired Primary Determinant of Outcome in Panton-Valentine Leukocidin Is Not the Presence of Genes Encoding
A Study on Impulse Noise and Its ModelsPublisher: SAIEE

This article gives an overview of impulse noise and its models, and points out some important and interesting facts about the study of impulse noise which are sometimes overlooked or not well understood. We discuss the different impulse noise models in the literature, focusing on their similarities and differences when applied in communications systems. The impulse noise models discussed are memoryless (Middleton Class A, Bernoulli-Gaussian and Symmetric alpha-stable), and with memory (Markov-Middleton and Markov-Gaussian). We then go further to give performance comparisons in terms of bit error rates for some of the variants of impulse noise models. We also compare the bit error rate performance of single-carrier (SC) and multi-carrier (MC) communications systems operating under impulse noise. It can be seen that MC is not always better than SC under impulse noise. Lastly, the known impulse noise mitigation schemes (clipping/nulling using thresholds, iterative based and error control coding methods) are discussed.
Genetic Comparison of Two Different Arabian Oryx Populations in UAE Based on Microsatellite Analysis

This is a genetic comparison study of Arabian Oryx (Oryx leucoryx) population at two different locations (A &B) based on nuclear microsatellite DNA markers. Arabian Oryx is listed as vulnerable and endanger by the World Conservation Union (IUCN). Thirty microsatellite markers from bovine family were applied to investigate the genetic diversity of the Arabian Oryx and to set up a molecular inventory. Among 30 microsatellite markers used, 13 markers were moderately polymorphic. Arabian Oryx at location A has shown better gene diversity over location B. However, mean number of alleles were less than location B. Data of within population inbreeding coefficient indicates inbreeding at both locations (A&B). Based on the analysis of polymorphic microsatellite markers, the study revealed that Arabian Oryx need a genetically designed breeding program. Keywords—Arabian oryx, Microsatellites
Adaptation and the poor: development, resilience and transition

Risk minimization is no longer a sufficient survival strategy for poor people in livelihood systems increasingly exposed to frequent extreme events. This calls for comprehensive adaptation to climate change. Within the climate change regime, adaptation is as central as mitigation but needs to be much more explicitly addressed at local, national and global levels. There is also a need for policy renewal in other international regimes that are central to adaptation, such as environment, human rights, development and trade. Accordingly, this article addresses poverty-relevant adaptation through the medium of three discourses: development, resilience, and transition theory. Development, as a post-war project of theories, strategies and policies, spells out the links between rich and poor countries and offers modernization trajectories but few solutions for adaptation and sustainability transitions. Resilience, as an analytical framework emerging in ecology in the 1970s in reaction to ideas of equilibrium, depicts incremental changes and capacity to preserve systems within given frames but does not recognize that social change mainly implies transitions to renewed forms of production, consumption and distribution with new combinations of organization, institutions and technology. Transition theory focuses on profound multilevel changes in complex (sub)systems, thereby offering a powerful framework for theorizing empirical findings and promoting adaptation as a transition to sustainability.
Analysis of MapReduce Algorithms

MapReduce is a programming model that is designed to handle computations on massive amounts of data in parallel. The basic idea behind this model is the divide and conquer algorithm. The big data on which computations needs to be performed is split among nodes of a cluster, each of which performs the computations on the subset of data[6]. The technique used here is, when handling huge datasets, instead of moving the data across different programs, were are splitting the data among the cluster nodes and make the same program run on each subset of data. In this paper we are going to discuss the need for MapReduce algorithms, the basic concepts behind MapReduce and analyze a few map reduce algorithms and their performance[6].
Genome‐wide gene‐environment interaction in depression: A systematic evaluation of candidate genes

Gene by environment (GxE) interaction studies have investigated the influence of a number of candidate genes and variants for major depressive disorder (MDD) on the association between childhood trauma and MDD. Most of these studies are hypothesis driven and investigate only a limited number of SNPs in relevant pathways using differing methodological approaches. Here (1) we identified 27 genes and 268 SNPs previously associated with MDD or with GxE interaction in MDD and (2) analyzed their impact on GxE in MDD using a common approach in 3944 subjects of European ancestry from the Psychiatric Genomics Consortium who had completed the Childhood Trauma Questionnaire. (3) We subsequently used the genome‐wide SNP data for a genome‐wide case‐control GxE model and GxE case‐only analyses testing for an enrichment of associated SNPs. No genome‐wide significant hits and no consistency among the signals of the different analytic approaches could be observed. This is the largest study for systematic GxE interaction analysis in MDD in subjects of European ancestry to date. Most of the known candidate genes/variants could not be supported. Thus, their impact on GxE interaction in MDD may be questionable. Our results underscore the need for larger samples, more extensive assessment of environmental exposures, and greater efforts to investigate new methodological approaches in GxE models for MDD.