Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of effect of 17% edta and 5.25% sodium hypochloride irrigating soloutions on surface hardness of brasseler endosequence root repair material

EVALUATION OF EFFECT OF 17% EDTA AND 5.25% SODIUM HYPOCHLORIDE IRRIGATING SOLOUTIONS ON SURFACE HARDNESS OF BRASSELER ENDOSEQUENCE ROOT REPAIR MATERIAL Himanshu Sharma Marquette University, 2014 Introduction: Root Perforation is an artificial communication between the root canal system and supporting tissue. Various endodontic researchers have published that sealing the perforation immediately has the best prognosis but this predisposes the repair material to come in contact with various root canal irrigants during the course of treatment. The aim of this study was to evaluate the effect of 17% EDTA and 5.25% sodium hypochlorite irrigating solutions on surface hardness of Endosequence Root Repair Material Putty (ERRM). Method: ERRM, 5.25% Sodium Hypochlorite, 17% EDTA and Deionized water were used. 42 samples were prepared and divided into 2 groups. Each group was divided in three sub groups. Sub Groups in Group I were stored in water, 5.25% NaOCl and 17% EDTA for 7 days and were subjected to hardness testing. After 7 days Group II samples were exposed to water, 5.25% NaOCl, 17% EDTA for 10 minutes and 7 days and were subjected to Vickers microhardness tester for hardness testing. Non-Parametric tests were used due to lack of normalcy of the data. Results: Exposure of ERRM to water, 17% EDTA, and 5.2% NaOCl during setting over 7 days had no significant effect on the microhardness of ERRM. NaOCl exposed samples were significantly harder than samples exposed to water for 10 minutes and 7 days. Exposure to EDTA resulted in significantly lower microhardness. Conclusion: 1. Exposure of ERRM to water, 17% EDTA, and 5.2% NaOCl during setting over 7 days had no significant effect on the microhardness of ERRM. 2. Additional exposure to Water or 17% EDTA for 10 minutes reduced the microhardness possibly due to excessive hydration by water resulting in a porous matrix and acidic nature plus calcium depletion by EDTA interfering with the C-S-H gel structure of ERRM. 3. NaOCl (5.25%) increased the microhardness possibly due to non-inhibition of calcium hydroxide formation on the surface and increasing the number and size of the surface crystal. 4. Exposure to extended period of 17% EDTA had detrimental effects on ERRM and samples lacked structural integrity.
DETERMINATION OF SiC CERAMIC FOAMS MICROSTRUCTURE PROPERTIES BY X-RAYS MICROTOMOGRAPHY

Silicon carbide ceramic foams (SiC) can operate at high temperatures, which allow them to be used as heat exchangers, liquid metal filters, composite of rocket nozzles, etc. For many of these applications it is very important to know the foams’ porosity. In this work the porosity of SiC ceramic foams was determined by Xrays microtomography, a powerful non-destructive technique that allows the analysis of the sample’s internal structure. The samples have pore densities of 30, 45, 60, 80 and 100 pores per inch (ppi). The spatial resolution obtained was 24.8 µm. The cross sections’ reconstruction was performed with a cone beam filtered backprojection algorithm. In the analyses, micropores were observed in the foam’s lattice wire of the 30 ppi and 45 ppi samples. Micropores were present in few cross sections of 60 ppi sample too, but it was not found in the 80 ppi and 100 ppi samples. The total porosities obtained were Φ= (88.8 ± 4.3) %, Φ = (85.2 ± 1.4) %, Φ = (82.3 ± 1.8) %, Φ = (79.9 ± 1.3) % and Φ = (80.4 ± 1.5) %, for the 30, 45, 60, 80 and 100 ppi samples, respectively.
An Accounting Research Agenda in the Context of Climate Change. Drawing on the Australian Local Government Sector

With much of the world’s attention turning to the possible causes and effects of climate change, it is timely to investigate what role accounting can and should play in this debate. Although widely recognised that there should be a global approach to slowing down the rate of carbon emissions and consequent rise in temperature, recent events such as the latest UN conference on climate change in Copenhagen, Denmark has demonstrated the difficulties and divisions amongst the global community. Notwithstanding this outcome, there appears to be many opportunities for accounting researchers to add to the body of knowledge so that government policy makers and officials can make informed decisions. The focus of this paper is on outlining a series of possible research questions that specifically relate to the types of accounting information that will be required under a climate change agenda. It is also argued that a multidisciplinary approach is required for this to occur because data taken directly from the current accounting information system will be inadequate and incomplete in this new context. The focus of attention in this paper is limited to the local government sector in coastal communities.
Time consistency in Risk measures

An approach to construct time consistent dynamic risk measures from rescaled one-period risk measures is presented. By composing one-period time risk measure (with suitable scaling) a limit is obtained corresponding to the solution of a BSDE with a particular driver. For composed versions of risk measures Value-at-Risk and Expected Shortfall particular drivers of corresponding BSDEs are proposed. What happens to composed VaR and composed ES when the size of the discrete time grid goes to zero is investigated numerically. In particular, example with smooth terminal payoff when both composed VaR and composed ES converge to the solutions of BSDEs with proposed drivers is presented. Solutions corresponding to those BSDEs depend on the initial choice of risk level α, which gives a natural extension of discrete time risk measures to continuous time.
Analyzing Art, Culture, and Design in the Digital Age

This research explores emotional response to gesture in order to inform future product interaction design. After describing the emergence and likely role of full-body interfaces with devices and systems, the importance of emotional reaction to the necessary movements and gestures is outlined. A gestural vocabulary for the control of a web page is then presented, along with a semantic diferential questionnaire for its evaluation. An experiment is described where users undertook a series of web navigation tasks using the gestural vocabulary, then recorded their reaction to the experience. A number of insights were drawn on the context, precision, distinction, repetition and scale of gestures when used to control or activate a product. These insights will be of help in interaction design, and provide a basis for further development of gestural vocabularies.
PuffinPlot: A versatile, user‐friendly program for paleomagnetic analysis

PuffinPlot is a user‐friendly desktop application for analysis of paleomagnetic data, offering a unique combination of features. It runs on several operating systems, including Windows, Mac OS X, and Linux; supports both discrete and long core data; and facilitates analysis of very weakly magnetic samples. As well as interactive graphical operation, PuffinPlot offers batch analysis for large volumes of data, and a Python scripting interface for programmatic control of its features. Available data displays include demagnetization/intensity, Zijderveld, equal‐area (for sample, site, and suite level demagnetization data, and for magnetic susceptibility anisotropy data), a demagnetization data table, and a natural remanent magnetization intensity histogram. Analysis types include principal component analysis, Fisherian statistics, and great‐circle path intersections. The results of calculations can be exported as CSV (comma‐separated value) files; graphs can be printed, and can also be saved as publication‐quality vector files in SVG or PDF format. PuffinPlot is free, and the program, user manual, and fully documented source code may be downloaded from http://code.google. com/p/puffinplot/.
Life Sciences: Clinical and Marketing Analytics

The rapidly increasing field of analytics has started to play a fundamental role in the progression of pharmaceutical business practices. It has provided tools to accumulate, manage, analyze, and assimilate large volumes of disparate, structured, and unstructured data produced by current healthcare systems. Big data analytics is not branching into aiding the process of healthcare delivery and disease exploration. of “big data” and the advanced analytical methods and technologies used to interpret it—it is a trend seen as having the potential to revolutionize biology, medicine, and health care [10]. As new types of data and tools become available, a unique opportunity is emerging for smarter and more effective discovery, development, and commercialization of innovative biopharmaceutical drugs [2]. ues, get paid for doing as such, and make a benefit. The reason of this article is to comprehend the importance of plans of action and investigate their associations with business technique, advancement administration, and financial hypothesis.
Assessment of aortic elasticity and its relation with left ventricular filling and diastolic parameters by transthoracic and transesophageal echocardiography

Ozet Background: There are limited data comparing aortic dimensions and elastic properties between transthoracic echocardiography (TTE) and transesophageal echocardiography (TEE). Therefore, we aimed to investigate aortic dimensions and indices of aortic elastic properties as well as their relation with left ventricular (LV) filling and diastolic parameters obtained from TTE and TEE. Method: Forty two patients were included in the study. Aortic dimensions and related elasticity parameters, LV filling and diastolic parameters, left atrial volume index (LAVi), LV mass index were calculated from TTE and TEE recordings in all patients. The correlation analyses were performed for aortic elasticity indices and LV filling and diastolic parameters obtained from TTE and TEE. Results: There were no significant differences in aortic dimensions and elasticity indexes obtained from TTE and TEE. The correlation analysis r evealed that while age E/A, E/E` and LAVi were significantly correlated with aortic elasticity indexes obtained from both TTE and TEE, LV mass index was significantly correlated with only TEE aortic elasticity indices. Conclusion: When compared to TTE, aortic elastic properties obtained from TEE were more closely related with LV filling and diastolic parameters. In addition, the indexes of aortic function were comparable between TEE and TTE with good intra and interobserver variability. Amac: Aort boyutlar ve elastik ozelliklerini transtorasik ekokardiyografi (TTE) ve transozofageal ekokardiyografi
On Bayes approach to optimization

In many real optimization problems the objective function is either hardly tractable or its evaluation is expensive. Hence, we have not full information on its form and can aord to evaluate it at just a few points. Then, certain assumptions on the objective function form (shape) must be done. This could be with advantage taken as a prior information in a Bayes scheme. The Bayes approach to optimization, extensively studied in last several decades, then oers the way of eective search for the extremal point. In the present paper we shall recall the ideas behind Bayes optimization procedures, describe the technique using the model of Gauss process and derive a regression-like method dealing with noisy information on objective function.
Elucidating trophic pathways in benthic deep-sea assemblages of the Mid-Atlantic Ridge north and south of the Charlie-Gibbs Fracture Zone

The Mid-Atlantic Ridge (MAR) is a topographically complex feature in the North Atlantic Ocean with little exploration of benthic fauna except in association with hydrothermal venting, resulting in the biodiversity and ecosystem functioning of the MAR benthos away from these sites remaining largely unknown. Stable isotope analysis of carbon, nitrogen and sulphur were undertaken on fauna collected north and south of the Charlie-Gibbs Fracture Zone, in areas believed to be devoid of hydrothermal venting, to investigate the trophodynamics of the benthic assemblage. δ13C and δ34S values of the benthic and bentho-pelagic fauna indicated a dependence on photosynthetic primary production, with no influence from an unknown chemosynthetic source. A large trophic discrimination in δ13C between consumers and potential food sources (particulate organic matter and surficial sediments) suggested reworking of organic carbon before assimilation by benthic fauna. Interpretation of sediment δ15N values was difficult as these ranged between −0.74 and 23.14‰, suggesting further work is required to understand nitrogen utilisation by benthic deposit feeders. Differences in trophic guilds (predators, predator–scavenger, surface deposit feeders, subsurface deposit feeders and suspension feeders) were evident for δ13C and δ15N, with the main difference between the mobile predators–scavengers and the benthic deposit feeders. Dividing the assemblage based on trophic guilds into food chains dependent on phytodetritus (deposit and suspension feeders) and predation–scavenging (fishes and crustaceans) resulted in strong positive correlations between δ15N and δ13C at both stations. These reflected the 2 dominant trophic pathways organic matter passed through deposit feeders and predatory and scavenging deep-sea fishes and crustaceans.
Glycine-nitrates combustion synthesis and properties of nano-sized Ce 1-x Gd x O 2- d solid solution for solid oxide fuel cell viewpoint

Nanocrystalline gadolinium-doped ceria powders for solid electrolytes have been successfully prepared via glycine nitrate combustion synthesis and characterized by TGA/DTA, XRD and SEM. Using these powders; highly dense ceramics have been prepared by sintering at 1100°C which is much lower temperature than 1600°C usually required for ceria solid electrolytes prepared by conventional ceramic technique. The effect of compositions on structure and conductivity has also been studied.
Chapter 1 In Vitro Cytotoxicity and Cell Viability Assays : Principles , Advantages , and Disadvantages

Cytotoxicity is one of the most important indicators for biological evaluation in vitro studies. In vitro, chemicals such as drugs and pesticides have different cytotoxicity mechanisms such as destruction of cell membranes, prevention of protein synthesis, irreversible binding to receptors etc. In order to determine the cell death caused by these damages, there is a need for cheap, reliable and reproducible short-term cytotoxicity and cell viability assays. Cytotoxicity and cell viability assays are based on various cell functions. A broad spectrum of cytotoxicity assays is currently used in the fields of toxicology and pharmacology. There are different classifications for these assays: (i) dye exclusion assays; (ii) colorimetric assays; (iii) fluorometric assays; and (iv) luminometric assays. Choosing the appropriate method among these assays is important for obtaining accurate and reliable results. When selecting the cytotoxicity and cell viability assays to be used in the study, different parameters have to be considered such as the availability in the laboratory where the study is to be performed, test compounds, detection mechanism, specificity, and sensitivity. In this chapter, information will be given about in vitro cytotoxicity and viability assays, these assays will be classified and their advantages and disadvantages will be emphasized. The aim of this chapter is to guide the researcher interested in this subject to select the appropriate assay for their study.
Ancient onset of geographical divergence, interpopulation genetic exchange, and natural selection on the Mc1r coat‐colour gene in the house mouse (Mus musculus)

We examined genetic variation in house mice from India and Pakistan, a predominant part of the predicted homeland of this species and also the territory of the subspecies Mus musculus castaneus (CAS), using a nuclear marker for seven tandemly arranged genes (Fanca–Spire2–Tcf25–Mc1r–Def8–Afg3l1–Dbndd1) and compared them with those previously determined for mice from other parts of Eurasia. Construction of a network with the concatenate sequences yielded three distinct clusters representing the three major subspecies groups: CAS, Mus musculus domesticus (DOM) and Mus musculus musculus (MUS). STRUCTURE analysis provided evidence for further subdivision of CAS into two main haplogroups within the Indian subcontinent. Single-gene networks revealed not only gene-specific architecture for subgrouping in CAS, but also allelic exchange among subspecies. These results suggest the earlier onset of allopatric divergence in the predicted homeland (the Middle East and Indian subcontinent) and subsequent intermittent admixing via gene flow across the CAS haplogroups and among the three subspecies groups. A comparison of the levels of nucleotide diversity among the gene regions revealed a less divergent state in the chromosome region containing Mc1r and its adjacent genes, indicative of a selective sweep, suggesting the involvement of natural selection in the Mc1r allelic variation. © 2015 The Linnean Society of London, Biological Journal of the Linnean Society, 2015, 114, 778–794.
Teacher preparation for child protection: A strengths approach.

Teachers face many competing responsibilities and barriers to protect children, which consequently also presents many challenges for pre-service teacher preparation. This paper reports on an Australian doctoral research project that examined the use of strengths approaches in Higher Education with the aim of enhancing pre-service teacher’s child protection understandings and skills. The qualitative research project charted teacher education students’ responses to a strengths-based child protection module that was newly developed for pre-service teachers by the researcher. The research findings confirmed the significant practical and moral demands of child protection education for pre-service teachers, as identified in child protection education literature. Additionally, the participants expressed that the strengths approach they had studied contributed to their increased awareness and confidence in child protection education both during and after the module. The participants reported a positive 'impact' when using strengths approaches upon graduating as teachers and an increase in their preparation and confidence to protect children. The research developed and used a strengths approach to methodology. Qualitative data collection techniques of individual interviews, focus groups and electronic research were modified using strengths principles. Modifications were made in order to maximise collaboration and to allow participants to explore, demonstrate and share their own strengths whilst giving responses to key research themes. The data was examined by contextual and thematic analysis. Interpretations were shaped by principles articulated in strengths literature and research in the field of child protection and teacher education. One of the unexpected findings of the research was how a strengths approach also enhanced the research methodology particularly the design and use of a strengths-based electronic interview method, termed an EView. This research indicated that a strengths approach to pre-service child protection training could provide a positive alternative, or addition, to the single, adjunct child protection workshop currently offered by most teacher education courses. The research findings suggest that an extended strengths approach assisted the cohort of pre-service teachers to understand, develop strategies and connect with child protection issues in their careers. Additionally, the findings suggest that a solutions-based, strengths approach helps to relieve the reported anxiety felt by teachers in dealing with child protection issues. Rather unexpectedly, using a collaborative, strengths-based research process also provided an opportunity to develop and use new techniques to work with research participants.
A Secure Data Access Mechanism for Cloud Tenants

As the future big data storage center for tenants, cloud computing has been a hot issue recently, it consists of many large datacenters which are usually geographically distributed and heterogeneous, secure data access from cloud computing platform is a big challenge for cloud tenants. In this paper, we present a secure data access mechanism based on identity-based encryption and biometric authentication for cloud tenants. We review briefly about identity-based encryption and biometric authentication firstly and then we proposed a data access mechanism for cloud tenants, the mechanism set double protection for confidential data of cloud tenants, encryption will make the tenants data secure against the peekers and biometric authentication will eliminate the maloperations over tenants data by root administrator in cloud service. We compared the proposed mechanism with other technology and schemes through comprehensive analysis and experiment data; the results show that the proposed data access mechanism is feasible and suitable for cloud tenants. Keywords—Cloud computing; Big data center; Data access; Data security.
Reconfigurable Tactical Impulse Radio UWB for Communication and Indoor Localization

The paper is focused on the design of a new reconfigurable tactical UWB impulse radio enabling indoor communication and localization for military application. The proposed system contains both a physical and a MAC (Medium Access Control) layer. It proposes to answer military needs for information sharing and for indoor localization of infantry. The physical layer is based on IR-UWB (Impulse Radio Ultra WideBand). Its goal is to ensure communication and distance evaluation between the transmitter and the receiver. IR-UWB is necessary for constraints such as low power consumption, reconfigurability, through the wall propagation, fine resolution localization, low probability of detection and interception. These advantages come from the use of a very large bandwidth with very short pulses. The digital baseband implementation of a reconfigurable IR-UWB transceiver is based on a coherent Rake receiver and on a parallel search acquisition. Its synchronization accuracy is of 0.33 ns. This enables distance evaluation with a precision of 10 cm. The MAC layer deals with the multi user access and the positioning. TDMA is used for sharing the channel between users. WiDeCS, a master-slave TOA (Time of Arrival) cross layer mechanism is implemented for time synchronization. This algorithm can also determine the Time of Flight of the IR-UWB signal due to timestamps at the physical layer. This algorithm followed by triangulation and-or angle of arrival techniques leads to 3D positioning.
Spatiotemporal Traffic State Prediction Based on Discriminatively Pre-trained Deep Neural Networks

The availability of traffic data and computational advances now make it possible to build data-driven models that capture the evolution of the state of traffic along modeled stretches of road. These models are used for short-time prediction so that transportation facilities can be operated in an efficient way that guarantees a high level of service. In this paper, we adopted a state-of-the-art machine learning deep neural network and the divide-and-conquer approach to model large road stretches. The proposed approach is expected to be a tool used in daily routines to enhance proactive decision support systems. The proposed approach maintains spatiotemporal correlations between contiguous road segments and is suitable for practical applications because it divides the large prediction problem into a set of smaller overlapping problems. These smaller problems can be solved in a reasonable time using a medium configuration PC. The proposed approach was used to model 21.1- and 30.7-mile stretches of highway along I-15 and I-66, respectively. The resulting predictions were better than predictions obtained using partial least squares regression.