Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatial-Temporal Math and its Effect on Student Achievement

The purpose behind this action research was to determine the effect Spatial-Temporal (ST) Math, a web-based mathematics program, has on student achievement at a second grade level. The ST Math program was given to a small group of second grade students on top of the classroom mathematics curriculum while another group of students strictly used the classroom mathematics curriculum. A pre and post assessment were given to these students over an eight week period. This quantitative data was analyzed to determine the correlation between the students’ exposer to ST Math and their achievement on the assessments. After analyzing the data, it shows that students’ scores who participated in the ST Math program increased. However, when compared to the students who did not participate in the math program, there was no distinct difference in scores. SPATIAL-TEMPORAL MATH 3 Spatial-Temporal Math and its Effect on Student Achievement A mathematics curriculum can have a great impact on student achievement in the content area. When the curriculum does not meet the needs of every student, educators look elsewhere to add supplemental materials. There are many different supplemental curriculums available to educators. It is important for educators to know which supplemental materials are more beneficial than others. This teacher researcher’s classroom was no different. The current classroom mathematics curriculum, Saxton Math, was severely outdated and teachers have been searching for a supplemental curriculum to include in their everyday mathematics instruction. Before jumping into a new curriculum, data needed to be analyzed on the correlation between the program and student achievement. The supplemental mathematics curriculum, Spatial-Temporal (ST) Math was chosen. ST Math is a web-based program that students participate in individually. There is not any direct teacher instruction. Students are introduced to multiple situations where they are challenged to use their math concept knowledge and problem solving skills to complete each situation. Situations get more and more complex as students complete them correctly. In comparison, situations get easier as students do not complete them correctly. There are hints along the way for students to request if they find themselves stuck.
Assessing seasonal dietary variability and vulnerability in the Kilombero Valley

Food security is one of the most important considerations in assessing sustainable livelihoods, whereby enough safe, nutritious, and culturally appropriate food is a necessary condition for improving overall wellbeing. Yet, small-scale subsistence agriculturalists are particularly vulnerable to environmental, economic, and social issues across a globalizing world, and food security is increasingly difficult to achieve. Seasonal variability of harvest yields, unpredictability of climate patterns, and poor access to external markets pose substantial obstacles for these populations to achieve a sustainable way of living. This research project focuses on household food security and seasonal resource variability among small-scale agricultural villages adjacent to Udzungwa Mountains National Park (UMNP), Tanzania. The study will analyze Income and Expenditure Diary data on produced and purchased items for 119 households in the village of Mang’ula B over a 12-month period, review Household Survey Questionnaire data, take a closer look at the experience of individual households, assess the nutritional status of local dietary and consumption patterns, and use supplementary data from key informants. Food security is gleaned through the domains of dietary quantity and quality from season to season for subsistence households in the village of Mang’ula B in the Kilombero Valley. The aim of this analysis is to identify household-level seasonal vulnerability in livelihood strategies and assess overall community nutritional status, considering implications for the protection of UMNP. More specifically, it examines (1) what people are eating from season to season, and (2) what nutritional patterns, if any, exist in times of extreme shortage and vulnerability. These questions seek to explain how and to what extent the community members’ dietary needs are being met in order to maintain or increase their quality of life without ultimately compromising the protection of biological diversity in UMNP.
Valuation of Latin-American stock prices with alternative versions of the Ohlson model: An investigation of cointegration relationships with time-series and panel-data

We develop an investigation regarding the determinants of the stock prices in six Latin American emerging markets (Argentina, Brazil, Chile, Colombia, Mexico and Peru). We test the traditional Ohlson model and an international version of it. The international model includes the Dow Jones index as an additional explanatory variable. We use time-series and panel-data cointegration methodologies to assess the long-run relationships among the variables postulated by both models. We use quarterly data for the period 2000:01-2010:03. The results suggest that panel-data techniques may be better than time-series ones for the assessments. They support the use of the Ohlson models and, specially, the international one. The variables are significant and have the postulated signs. These results hold when the firms are considered as a whole and for the commercial and construction firms. Furthermore, the results also suggest that the Latin American asset prices are complementary to the US ones in the long run.
Influence of Tourism Frequency on Association Model of Ecotourism Action

In recent years, many tour operators have entered to the ecotourism market aiming at the trend of ecotourism. In combination of local ecological and environmental resources, these tour operators have promoted a series of themed ecotourism paths and activities to attract tourists from different places. This study conducted literature review and empirical research to explore the influences of consumers’ tourism involvement, tourism values, perception of ecotourism and affection toward ecotourism on attitude toward ecotourism, perceived value of ecotourism, willingness of consumers and actual ecotourism action. Furthermore, association models were established, and the differences on the association models of tourist groups with different tourism frequencies were compared. Convenience sampling was used to survey the consumers who had participated in ecotourism. A total of 787 valid samples were collected. Based on tourism frequency, the respondents were divided into three groups, namely high frequency, medium frequency and low frequency, and the group models were compared. The results showed that (1) the influence of affection toward ecotourism on perceived value of ecotourism is the most significant among the four independent variables in the three tourism groups; (2) for all three tourism groups, tourism involvement has significantly negative influences on the paths of attitude toward ecotourism, and the influence of high-frequency tourism group is the highest; (3) tourism values of the high-frequency tourism group have a significantly negative influence on the path of perceived value of ecotourism while medium-frequency and low-frequency tourism groups have no significant influence; (4) in the medium-frequency tourism group, the affection toward ecotourism has a significantly positive influence on the path of attitude toward ecotourism, and the influence of this group is the highest while high-frequency and low-frequency groups have no significant influence; (5) for all three tourism groups, perceived value of ecotourism has a significantly positive influence on the path of attitude toward ecotourism and the influence of high-frequency tourism group is the highest.
Automated Mapping of Hydrographic Systems from Satellite Imagery Using Self-Organizing Maps and Principal Curves

A fully automatic and high-precision cartographic mapping of terrain features such as forests, rivers or roads from multispectral satellite or aerial images is a challenging problem in remote sensing, largely due to the fact that it requires an adequate representation of irregular and discontinuous objects. Being able to provide sub-meter resolution multispectral images, high-resolution satellites such as QuickBird or Ikonos broaden the application possibilities of satellite imagery and offer the possibility of making them sensors of choice for a variety of environmental applications. Their high spatial and radiometric resolution facilitates visual interpretation. Temporal resolution of image databases can be largely increased, due to the known revisit time and pointing capabilities of the satellite platform, which facilitates large-scale change-detection and monitoring of selected areas in order to keep natural environment databases up-to-date. Certain analyses involving spectral change detection and dynamically obtained maps can be performed more easily and in a more automated fashion. Finally, high-resolution satellite images offer the potential for being ever more competitive in terms of price with the aerial images. This chapter presents methods based on Self-Organizing Maps (Kohonen et al., 1996) developed in efforts to fully automate the generation of hydrographic maps from remotely sensed imagery. The complexities of generating cartographic representations of hydrological objects, such as rivers and lakes, from satellite and aerial images consists generally of two categories of tasks: the first involves the extraction process of the required linear or a real feature while the second involves generation of a suitable representation in a form appropriate for cartographic map presentation. The presented approach applies the technology of Self-Organizing Maps (SOM) at both stages of the hydrological mapping process, i.e., the detection of water bodies from multispectral images and the subsequent tracing of hydrological systems or networks. The first task can be approached by applying a classification technique or through a scene analysis method. A number of different methods have been reported in the literature. Conventional image processing techniques typically apply edge detection algorithms (Ma & Manjunath, 2000) in efforts to define water regions. A similar problem of road detection from satellite images was discussed in (Auclair Fortier et al., 2001). A rule-based approach to segmentation of satellite images was presented in (Ton et al., 1991). Selection of
Learning in the stock market and credit frictions

Standard models of credit frictions do not typically generate substantial amplification and propagation of macroeconomic shocks. I argue that this is directly related to the failure of these models to generate sucient endogenous volatility in asset prices. I introduce learning about the stock market to a model in which firms borrow against the market value of their collateralised assets. A strong positive feedback loop emerges between beliefs, asset prices and profits which reinforces the learning dynamics. Small shocks on either the supply or demand side of the economy then translate into large and persistent aggregate fluctuations.
Monotonic Derivative Correction for Calculation of Supersonic Flows

Aim of the study. This study examines numerical methods for solving the problems in gas dynamics, which are based on an exact or approximate solution to the problem of breakdown of an arbitrary discontinuity (the Riemann problem). Results. Comparative analysis of finite difference schemes for the Euler equations integration is conducted on the basis of an exact or approximate solution to the problem of an arbitrary discontinuity breakdown. An approach to the numerical solution of the Euler equations governing inviscid compressible gas flow is developed on the basis of the finite volume method and finite difference schemes for flow calculation of various degrees of accuracy. Calculation results show that monotonic derivative correction provides numerical solution uniformity in the breakdown neighborhood. On one hand, it prevents the formation of new extremum points, thereby providing monotonicity, but on the other hand, it causes smoothing of existing minimums and maximums and accuracy loss. Conclusions. The developed numerical calculation method makes it possible to perform high-accuracy calculations of flows with strong non-stationary shock and detonation waves and no nonphysical solution oscillations on the shock wave front.
Real Options Analysis for Commodity Based Mining Enterprises with Compound and Barrier Features

Traditional project evaluations rely mainly on Net Present Value methodology, and largely ignore the flexibilities available to the sponsor to vary the project after initiation. Real Options Analysis remedies this by applying option pricing theory to more fully evaluate investment decisions. Through several hypothetical gold-mining examples, we illustrate the economic valuation of multi-stage investment decisions as simple or compound options, possibly with barrier option features. Barrier options are common in foreign exchange markets, and also arise in our analysis. The decision to delay commencement contingent on commodity prices rising requires an up-and-in type barrier option, whereas the risk of project nationalization may be modeled by adding an up-and-out barrier feature. Other barrier option features also arise in a Real Options context. We apply recently developed valuation methods for compound and barrier exotic options to several gold-mining examples, and present closed form valuation formulae which we numerically implement using Excel spreadsheet software.
Studies on genotype and diagnosis of tuberculosis in Asian elephants (Elephas maximus) of Nepal [an abstract of dissertation and a summary of dissertation review]

Title Studies on genotype and diagnosis of tuberculosis in Asian elephants (Elephas maximus) of Nepal [an abstract of dissertation and a summary of dissertation review] Author(s) PAUDEL, Sarad Citation 北海道大学. 博士(獣医学) 甲第11968号 Issue Date 2015-09-25 Doc URL http://hdl.handle. net/2115/60010 Rights(URL) http://creativecommons.org/licenses/by-nc-sa/2.1/jp/ Type theses (doctoral abstract and summary of review) Additional Information There are other files related to this item in HUSCAP. Check the above URL. File Information Sarad_Paudel_abstract. pdf (論文内容の要旨)
Analysis of donors trust and relationship commitment in lembaga amil zakat in Indonesia

The purpose of this study is to investigate the role of donors trust and relationship commitment in a non-profit organization. This study used a survey method and takes individual donors of Lembaga Amil Zakat as the research samples. There are 117 respondents used in this research. Structural Equation Modeling (SEM) is selected as the analysis technique. The findings of the study reveal that (1) shared values have significant effect on trust; (2) relationship marketing investment has significant effect on trust; (3) trust has significant effect on relationship commitment; and (4) trust has significant effect on future intentions. The contribution of this study is mainly to broaden the application of social exchange theory and relationship marketing concept which are suitable not only for profit-oriented organizations, but also for nonprofit oriented organizations.
Economic factors influencing fresh fruit and vegetable expenditures in South Korean households

This study identifies consumer and household characteristics, geographical locations and opinions and views of the respondents that influence the expenditure on fresh fruit and vegetable, using a survey data collected from 1,100 female residents of seven urban centers in the Republic of Korea. Two separate equations for fresh fruit and vegetable expenditures were estimated using the OLS after determining that the Heckman’s procedure was not applicable. Results provide insights for the formulation of profiles for consumers according to their expenditures. Calculated elasticities for household income, education, age and number of adults in the case of fresh vegetable expenditure are 0.21, 0.32, 0.39 and 0.31, respectively. Elasticities for income, education and number of adults in the case of fresh fruit expenditure are 0.30, 0.30 and 0.16, respectively. Knowledge from this study is useful for fresh produce strategies by food manufacturers and for public health education led by the government agencies. INDEX WORDS: Expenditure on Fresh Fruit and Vegetable, Korea, Double Log, Socioeconomic and Demographic factors, Location, BMI, Elasticity, Heckman’s Procedure ECONOMIC FACTORS INFLUENCING FRESH FRUIT AND VEGETABLE EXPENDITURES IN SOUTH KOREAN HOUSEHOLDS
Effects of gametic imprinting on beef carcass traits in Japanese Black cattle

In total, 11,855 Japanese Black cattle were used to estimate the magnitude of parent-origin effects for carcass weight (CW) and beef marbling score (BMS). To detect imprinting effects, a model that included a direct genetic effect as well as paternal and maternal gametic effects was used in this analysis. Paternal and maternal gametic effects for CW were found in the models including paternal (model S) and maternal gametic (model D) effects, respectively. In model F, which has both gametic effects, the paternal gametic effect was lower than that in model S. Heritability estimates for CW obtained from the models including gametic effects (S, D, and F) were almost the same as that from model A, which included only a direct additive genetic effect. In contrast, paternal (maternal) gametic effects in model S (D) were larger for BMS than for CW. Notably, the maternal effect was particularly large, and its ratio to the total variance was 0.18. The paternal gametic effect for BMS found in model S was lost in model F, as observed with the paternal effect for CW. This may indicate the existence of partial imprinting effects. Heritability for BMS in model S was almost the same as that in model A. In contrast, those in models D and F were lower due to the large maternal gametic variance. These results suggest that the maternal gametic effect should be considered when estimating genetic parameters and predicting breeding values for BMS. In addition, the estimated imprinting effect for BMS could be used for selecting sires/dams for the production of superior progeny.
Study on the Socio-Economic Condition of Fishermen of the Punorvaba River under Sadar Upazila, Dinajpur

The present study was conducted to evaluate livelihood status of fishing community of the Punorvaba River under Dinajpur Sadar Upazila during the period from January to August, 2013. The livelihood status of fishermen were studied in terms of age structure, family size and type, occupation status, educational status, housing condition, drinking water facilities, sanitary facilities, health facilities, credit facilities and monthly income. It was found that most of the fishermen were belonged to the age groups of 36-45 years (40%), represented by 90% Muslim. The family size of fishing community is usually consisted of 5-7 members. Over 45% of the fishermen primarily engaged in fishing. Among them 50% was illiterate and 7% was SSC and above group. About 40% of the fishermen received health service from village doctors, 23% from upazila health complex and remaining 7% got health service from MBBS doctors. Some management strategies such as prohibition of catching brood fish, control of destructive gears, establishments of fish sanctuaries, release of fish fry have been suggested by the fishermen to stop the decreasing trend in the fish catch and to enhance fish production.
Identifying Rogue/Nefarious Applications

A security equipment vendor was recently describing their Network Intrusion Detection System. Of particular interest was a new technology the product implemented for detecting botnets. When asked how this technology worked, the vendor embarked on a lengthy explanation, the crux of which, was that the botnet detection algorithm used a port-based scheme that looked for TCP connections on port 6667. While port-based application detection schemes certainly have their uses and their advantages (they are easy to implement and easy to understand), for detecting rogue/nefarious 1 applications, they are sadly lacking. This is not a new problem, and much work has been done in this area. We oer a contribution towards rogue application identification, while providing a framework that can be expanded for the identification of more applications. Our initial motivation for this work was the detection of botnets. Several techniques have been developed to automatically identify (and often classify) various types of communication streams. Some use clues from the trac
The Activation-Relaxation Technique: ART Nouveau and Kinetic ART

The evolution of many systems is dominated by rare activated events that occur on timescale ranging from nanoseconds to the hour or more. For such systems, simulations must leave aside the full thermal description to focus specifically on mechanisms that generate a configurational change. We present here the activation relaxation technique (ART), an open-ended saddle point search algorithm, and a series of recent improvements to ART nouveau and kinetic ART, an ART-based on-the-fly off-lattice self-learning kinetic Monte Carlo method.
Considerations for aggregation of motion-captured files in structured databases for DHM applications

One way of enhancing motion simulation in digital human modeling (DHM) tools is to use data-driven methods which are based on real motion data. In spite of the availability of motion captured datasets which are offered for different purposes by commercial and research institutes, aggregation and integration of these motions in a unified and structured database system is not straight forward. Lack of this integration, limits the availability of existing data and causes DHM tools not to be able to use the data efficiently. Also for the researchers, comparison and analysis of data get very hard if not impossible. When searching for a specific motion pattern, it is optimal if the stored data in the database can be directly compared, analyzed and then retrieved if necessary. This study highlights several sources of incompatibility among motion capture files which shall be considered when implementing a comprehensive data management system for manipulating motion captured data. Subsequently, these incompatibilities are analyzed in more detail and necessary considerations and possible solutions are proposed in order to overcome the integration obstacles.
Classification based on Empathy level by Mining Economic Prosperity and Environmental Indicators

The role of economic prosperity and environmental empathy indicators affects empathy level of a country and shows how much a country is empathetic. We put forward a methodology to classify a country’s empathy by dividing it into five labels: (1) apathetic; (2) lessempathetic; (3) empathetic; (4) more-empathetic; (5) future-empathetic, by mining the selected economic prosperity and environmental empathy indicators. We justified our indicators by means of unsupervised clustering, and clustered world countries with respect to the economic prosperity and environmental empathy indicators and assigned those labels. Furthermore, building hierarchical structured decision trees on the labeled dataset helped us in finding important patterns in classification of empathy and evaluating the level of empathy of a country in an interesting and effective way.
Experimental Investigation on Torsional Rigidity of Power Screws

The lead crews or power screws are very important components in machine tools, power transmission equipment and in general machinery. These components are often subjected to twisting moments. As cross section of power screw is not solid circle, the torsion expression available in simple torsion theory is not useful for the estimation of torque carrying capacity. In this paper two analytical models have been developed to evaluate torsion rigidity of power screws. To validate the results obtained from these developed models, an experimental set up is built up in this work.