56 research outputs found
Creation and Analysis of Habitat Capability Ratings within the Muskwa-Kechika Management Area (MKMA).
No full textThe goal of this project was to accurately represent ungulate (stone sheep, elk, moose) critical winter habitat in the Muskwa-Kechika Management Area (MKM-A). This was achieved by analyzing previously created GIS models, calculating statistics, analyzing telemetry data, and much discussion with the biologist who set the parameters of the GIS models. The goal was achieved. The rest of this paper will focus on the processes involved in achieving the stated goal.Student paper submitted for GIS 492.Geographic Information System
KONSEP INTERAKSI EDUKATIF DALAM PENDIDIKAN ISLAM DALAM PERSPEKTIF AL-QUR’AN
No full textA story is considered related to education if in the interaction process involves the following aspects: aims of education, educators, learners, material, and methods. In this research, the author examines stories inside the al-Qur’an, particularly which of educational interaction model within the people in the past. From the background above, this paper answers a research questions, what is the concept of educational interaction from the Qoranic perspective and its implementation in education world. The primary resources in this research is coming from the story of Ibrahim and Musa (Q.S. Al-Kahfi: 60-82), the story of Ibrahim dan Ismail (Q.S. Al-Shaffat: 102-107), and the story of Luqman (Q.S. Luqman: 12-19). The findings of this study show that the concept of educational interaction in in the al-Qur’an consists of 1) the aims of education: humanism, insan kamil, and highest endeavor; 2) the educators: wise, mercy, democratic, understanding students’ psychological condition, knowledgeable, comprehending the materials, patient, and sincere; 3) the learners: obedient, determined, patient, strong motivation, never giving up, well mannered, humble, and respecting teachers; and 5) methods: dialogic, modelling, democratic, and advicing
TIME RESOLVED ICLAS SPECTROSCOPY of RADICAL
No full textAuthor Institution: Department of kinetics and katalysis, N.N. Semenov Institute of Chemical Physics; Levedev Physical Institute, N.N. Semenov Institute of Chemical Physics radical absorption spectrum was recorded in the 1.22-1.27 mkm range with the spectral resolution using intracavity laser absorption spectrometer based on color centers LiF laser. The rotationnaly resolved vibronic bands: (0,0,0)-(0,0,0), (0,2,0)-(0,1,0) and (0,0,2)-(0,0,1) of the electronic transition were analyzed. The mechanism of the forbiden rotational subbands appearance will be discussed
DIMENSIONAL EFFECT ON IR ABSORBTION BAND CONTOUR OF BENZENE
No full textAuthor Institution: Samarkand State UniversityIR absorption band contour for gaseous and liquid benzene was studied. For gaseous benzene the contour involves narrow Q-branch and two side P and R-branches. Distance between P and R-branch is . Absorption band of liquid benzene at 3-5 mkm layer thick involves central Q-branch. With increasing of layer thick the band contour deformation and the disappearing of Q-branch has been found. At layer thick more 15 mkm the band contour involves two side branches the distance between which is approximately agrees with those for gas phase. As a result of phase correlation and selforganization in liquid the superimposed oscillating wave packets are formed. They form lateral components in absorption spectrum. At small layer thicks due to the disturbance of phase correlation takes place the nonsymmetric transitions of energy. They form the Q-branches. With the increase of layer thick due to realization of phase correlation takes place the disappearing of Q-branch
Metacognitive Knowledge Monitoring in Post-Secondary Education: The Consequences of Poor Knowledge Monitoring and a Program to Facilitate It
No full textOne of the most frustrating teaching dilemmas in post-secondary education is helping students who claim to have mastered the course content but are unable to demonstrate their understanding. These students are often convinced they have a command of the material and may even be able to persuade their instructor that their failure is due to the test. But instructors who carefully question these students realize that most of these students have not mastered the material. This paper will briefly report on research from the last decade on metacognitive knowledge monitoring, and then present a program that teaches both self-regulated learning (SRL) and metacognition. Over the past five years the author has researched the relationship between metacognitive knowledge monitoring (MKM) and classroom learning and has developed a program in his educational psychology class which compels students to regulate their own learning and develops metacognitive skills
THE INFLUENCE OF CHEMICAL COMPOSITION OF HIGH-CHROMIUM CAST IRONS ON THE MACHINABILITY
No full textPurpose. This research is aimed to obtain the regression dependence of the machinability on the chemical composition of pig iron (C, Cr, Mn and Ni) in cast state. Methodology. The method of active experiment planning was used to build a mathematical model. Cast irons of composition 1.09…3.91 % С; 11.43…25.57 % Cr; 0.6…5.4 % Mn; 0.19…3.01 % Ni were studied. Cutting tools with plates 10х10 mm out of ВК8 according to State Standard 19051-80 were used for turning. Cutting modes: cutting depth – 0.8 mm, longitudinal feed – 0.15 mm/rot., spindle’s rotation frequency during turning – 200…360 rot./min. Lubricating and cooling liquids were not applied. Evaluation of iron workability was produced by determining the linear tool flank wear per unit length of the cutting path. Findings. Mathematically probabilistic equation of the regression dependence of the cutting tool’s wear on the C, Cr, Mn and Ni content in the machined cast iron were obtained. It was established that with the increase of Cr content in the cast iron to 14.8 % the cutting tool’s wear decreased as a result of formation of carbide eutectic which destroyed the doped ledeburite continuous frame. Further increase of chromium content promoted appearing of chromic carbides with high microhardness which considerably increased the tool’s wear. The conducted research shown that the minimum cutting tool’s wear 0,18 mkm/m was observed during the machining of cast iron containing: 1.09 % C, 14.8 % Cr, 2.3 % Mn and 1.2 % Ni; and the maximum wear is 48,96 mkm/m – when the content was: 3.91 % C, 11.43 % Cr, 5.4 % Mn and 0.19 % Ni. The tool’s wear reached 47.61 mkm/m during the treatment of cast iron containing 3.91 % C, 25.57 % Cr, 5.4 % Mn and 0.19 % Ni. Originality. Mathematically probabilistic model of the dependence of the cutting tool’s wear on the C, Cr, Mn and Ni content in the machined cast iron has been elaborated by the author. Practical value. The model allows optimizing the compositions of wear-resistant cast irons for castings which require the significant mechanical machining. Cast irons compositions were recommended for different exploitation conditions
Categorisation and perceptual Learning: Why tDCS to Left DLPFC Enhances Generalisation.
No full textIn Associative Learning and Cognition, Homage to Prof. N.J. Mackintosh. Editors: Trobalon JB, Chamizo VD. Barcelona 10 Sep 2016This is the author accepted manuscript. The final version is available from University of Barcelona via the link in this record.In the 27 years that have passed since the McLaren, Kaye and Mackintosh (MKM) model of perceptual learning was first proposed, it has undergone considerable theoretical development and been subject to extensive empirical test. But we would argue that the basic principles of the theory remain as valid today as they were in 1989. One of these principles was that salience modulation of stimulus representations based on prediction error was a key component of latent inhibition and perceptual learning. It was this modification of what was otherwise a fairly basic adaptation of the model for categorisation proposed by McCleland and Rumelhart (M&R) that transformed a system that would exhibit enhanced generalisation as category learning progressed, into one that would instead offer an improved capacity for discrimination between exemplars as a consequence of experience with the category. This modification has only been tested indirectly up until now, by looking at the predictions that flow from it and then comparing them to animal and human discrimination following stimulus pre-exposure. In this chapter we test this principle more directly, by using tDCS to disrupt the modulation of salience by prediction error, and show that when this is done, people exhibit the enhanced generalisation predicted by the standard M&R model. We conclude that our results provide further support for the MKM approach to stimulus representation
The radius and entropy of a magnetized, rotating fully-convective star: analysis with depth-dependent mixing length theories
No full textThis is the author accepted manuscript. The final version is available from American Astronomical Society / IOP Publishing via the DOI in this record.Some low-mass stars appear to have larger radii than predicted by standard 1D structure models; prior work has suggested
that inefficient convective heat transport, due to rotation and/or magnetism, may ultimately be responsible. We examine this
issue using 1D stellar models constructed using Modules for Experiments in Stellar Astrophysics (MESA). First, we consider
standard models that do not explicitly include rotational/magnetic effects, with convective inhibition modeled by decreasing a
depth-independent mixing length theory (MLT) parameter αMLT (following Cox et al. 1981; Chabrier et al. 2007). We provide
formulae linking changes in αMLT to changes in the interior specific entropy, and hence to the stellar radius. Next, we modify
the MLT formulation in MESA to mimic explicitly the influence of rotation and magnetism, using formulations suggested by
Stevenson (1979) and MacDonald & Mullan (2014) respectively. We find rapid rotation in these models has a negligible impact
on stellar structure, primarily because a stars adiabat, and hence its radius, is predominantly affected by layers near the surface;
convection is rapid and largely uninfluenced by rotation there. Magnetic fields, if they influenced convective transport in the
manner described by MacDonald & Mullan (2014), could lead to more noticeable radius inflation. Finally, we show that these
non-standard effects on stellar structure can be fabricated using a depth-dependent αMLT: a non-magnetic, non-rotating model
can be produced that is virtually indistinguishable from one that explicitly parameterizes rotation and/or magnetism using the two
formulations above. We provide formulae linking the radially-variable αMLT to these putative MLT reformulations
Markov chain Monte Carlo analysis for the selection of a cell-killing model under high-dose-rate irradiation
No full textPurpose: High-dose-rate irradiation with 6 MV linac x rays is a wide-spread means to treat cancer tissue in radiotherapy. The treatment planning relies on a mathematical description of surviving fraction (SF), such as the linear-quadratic model (LQM) formula. However, even in the case of high-dose-rate treatment, the repair kinetics of DNA damage during dose-delivery time plays a function in predicting the dose-SF relation. This may call the SF model selection into question when considering the dose-delivery time or dose-rate effects (DREs) in radiotherapy and invitro cell experiments. In this study, we demonstrate the importance of dose-delivery time at high-dose-rate irradiations used in radiotherapy by means of Bayesian estimation. Methods: To evaluate the model selection for SF, three types of models, the LQM and two microdosimetric-kinetic models with and without DREs (MKMDR and MKM) were applied to describe invitroSF data (our work and references). The parameters in each model were evaluated by a Markov chain Monte Carlo (MCMC) simulation. Results: The MCMC analysis shows that the cell survival curve by the MKMDR fits the experimental data the best in terms of the deviance information criterion (DIC). In the fractionated regimen with 30 fractions to a total dose of 60 Gy, the final cell survival estimated by the MKMDR was higher than that by the LQM. This suggests that additional fractions are required for attaining the total dose equivalent to yield the same effect as the conventional regimen using the LQM in fractionated radiotherapy. Conclusions: Damage repair during dose-delivery time plays a key role in precisely estimating cell survival even at a high dose rate in radiotherapy. Consequently, it was suggested that the cell-killing model without repair factor during a short dose-delivery time may overestimate actual cell killing in fractionated radiotherapy. (C) 2017 American Association of Physicists in Medicin
Determinants of foreign direct investment in Latvia
No full textBakalaura darba „Ārvalstu tiešo investīciju ietekmējošie faktori Latvijā” galvenais mērķis ir izpētīt ienākošo ārvalstu tiešo investīciju ietekmējošos faktorus Latvijā. Balstoties uz zinātniskajiem pētījumiem, tiek noskaidroti iespējamie faktori, kas ietekmē ĀTI. Viena no darbā izmantotajām metodēm ir MKM daudzfaktoru regresijas analīze. Šajā analīzē tiek izmantoti ceturkšņu dati un aplūkotais periods ir no 2001. gada līdz 2014. gadam. Tiek noskaidrots, ka tirgus lielums, tirgus atvērtība un iegūldījumu atdeve pozitīvi ietekmē ienākošās ĀTI plūsmas Latvijā, kamēr tādi faktori kā inflācija, darbaspēka izmaksas, valūtas vērtība un ĀTI novēlotās vērtības netiek novērtēti kā statistiski nozīmīgi. Darbā tiek veikta arī fiksēto efektu paneļregresijas analīze, kas sevī ietver Čehijas, Slovākijas, Slovēnijas, Polijas, Lietuvas un Latvijas ietekmējošos faktorus. Analīzes mērķis ir noskaidrot, vai iegūtie rezultāti šajā valstu grupā sakrīt ar iegūtajiem rezultātiem Latvijā. Autors noskaidro, ka tirgus lielums un iegūldijumu atdeve pozitīvi un statistiski nozīmīgi ietekmē ĀTI. Šis rezultāts sakrīt gan ar MKM iegūtajiem rezūltātiem, gan arī apskatīto literatūru.
Atslēgas vārdi: Ārvalstu tiešās investīcijas, ĀTI, PA, Regresija, PaneļdatiThe aim of Bachelors paper „Determinants of Foreign Direct Investment in Latvia” is to identify and examine determinants of FDI in Latvia. This paper is largely based on the available previous works on FDI determinants. One of the methods used in this paper is Ordinary Least Squares regression. The OLS regression is estimated using quarterly data in the time period from 2001 to 2014. The results of OLS indicate that main determinants of FDI in Latvia are market size, trade openness, and domestic returns. All three of these variables have positive and statistically significant relationship with FDI inflows. Meanwhile factors such as inflation, labor costs, currency valuation and lagged values of FDI inflows prove to be insignificant. This paper also estimates Panel regression using Fixed-Effects. The panel consists of six European countries – Czech Republic, Slovakia, Slovenia, Poland, Lithuania and Latvia. The aim of this panel analysis is to examine the determinants of these countries and compare them to OLS results from Latvia. Author finds that FDI inflows have positive and significant relationship with market size and domestic returns, which is a result that is in line with both the OLS estimation results and previously studied works.
Key words: Foreign Direct Investment, FDI inflows, Determinants, Latvia, OLS , Panel regressio
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