Volume 30, Issue 1

The study aimed to find out the different teaching practices of the mathematics teachers of public secondary schools and the NAT performance in Mathematics II for the School Year 2011-2012. The descriptive research design was used. Data were gathered through the use of the questionnaire checklist. The respondents of the study were second year high school students of Zone II Division of Zambales. The data were analyze using the percentage, weighted mean, ANOVA, t-test and regression analysis. Findings showed that a typical student respondent is aged 14.009, a female, whose mother’s and father’s educational attainment was a college level, with a mean monthly family income of Php 14,300.32. The weighted MS (Mean Percentage Score) in NAT Mathematics is 42.85. The respondents perceived the teaching practice, professional development of teachers as often done; the planning and lesson preparation, lesson implementation, assessment of learning and classroom management was also often practiced. Significant difference on the perceptions of the respondents toward the teaching practices of mathematics teachers when grouped according to sex, educational attainment of mother and father and monthly family income was established. A significant relationship between teaching practices and NAT Performance in Mathematics II as to professional and classroom management while was found. Teachers to undertake professional enhancement, exposure and development like acting as lecturer, resource person and consultant is highly suggested.

In this paper the effect of Brownian motion and Thermophoresis on boundary layer flow of MHD nanofluid flow over a moving surface with the influence of thermal radiation are studied The governing partial differential equations are transformed into ordinary differential equations, by using a similarity transformation. The resulting ordinary differential equations are solved by homotopy analysis method. We observed physical insight and interesting aspects of the problem in presence of thermal radiation. The effect of different non-dimensional parameters are studied namely Prandtle number Pr, Brownian motion parameter Nb Thermophoresis parameter Nt, Lewis number Le, Hartman number Ha and Radiation parameter R are depicted graphically for velocity, temperature and nanoparticle concentration profile.

Water is considered to be a prime natural resource, a basic human need and the elixir of human, faunal and floral life. According to experts, water is ranked second essential thing in this world next to oxygen. One can live without food for many days, but one can only survive for a few days without water. The availability of packaged drinking water for human consumption at recent times is a boon to humankind. The rise in health consciousness, increase in the tourism sector and the wide availability of packaged drinking water, had raised the per capita consumption of bottled water in India. The study has made an attempt to analyse the consumer preference towards packaged drinking water in Odisha. The literature related to the study was thoroughly reviewed and five independent variables (demographic & socio-economic factors, marketing factors, psychological factors, sensory factors and social influence) were identified as predictors for consumer preference towards packaged drinking water. The aim of the study is to empirically test the cause and effect relationship between those variables. The research involves data from both primary and secondary sources to reach at a specific conclusion. Purposive samples of 352 were selected from the population in the study area. The data collection instrument that found suitable and used in this study was a questionnaire with seventy-six questions in total. Statistical tool SPSS 20 has been applied to classify and analyse the data collected in the survey undertaken. The data were processed with the help of appropriate analytical tools like mean, standard deviation, t-test, ANOVA, and regression analysis. Multiple determinants shape consumer behaviour toward packaged drinking water. Thus, consumers’ preferences, behaviour and their perception of packaged drinking water are heterogeneous and depend not only on the appearance and sensory properties but also on psychological, demographical, socio-economical, marketing and social aspects.

Microorganisms carrying pmoA and nosZ genes are major drivers of methane and nitrous oxide fluxes from soils. However, most studies on these organisms have been conducted in mesic ecosystems so little is known about the factors driving their distribution in drylands, the largest biome on Earth. We conducted a global survey to evaluate the role of climate- and soil[1]related variables as predictors of the richness, abundance and community structure of bacteria carrying pmoA and nosZ genes.

This paper explains the differing retirement preferences within the baby boomer generation that will influence demand in retirement related industries. We will summarize and analyze the retirement models growing out of this and seek to identify and envision a retirement structure with a high potential for growth. As average life-spans continue to increase and as the largest generation in history, the Baby-Boomers, enter retirement, demand for retirement related communities, care, and facilities are expected to boom and experience expeditious growth. Alongside this, studies have found that Baby Boomers are aging-in place, which is prompting them, in aggregate, to age-alone at higher rate than any other generation in U.S. history (Janet and Overberg,2018). The result is an unprecedented incidence of seclusion signifying a looming threat to public health caused by new preferences among retirees and a swollen suburban housing market with valuations largely out of reach of younger generations (Dowell and Ryu, 2018). This paper is written with the assumption that, as Baby-Boomers’ retire in greater and greater numbers, the demand for alternative-style social communities/networks is set to boom. We seek to explore the data on this and compare the effectivity of different retirement structures in their ability to combat social isolation, mitigate financial burden, and incorporate aging in place. In areas where data does not exist or is scarce, we will use logically and variably solid speculation on a retirement structure’s effectivity.

This research is focused on knowing how vulnerable the ability of groundwater is to be affected by mining activities. Supporting analysis includes mine design using the stripmine method and research on hydrological and hydrogeological characteristics. Field activities include observation, measurement, testing of groundwater potential with the slugtest method in the study area. Testing of groundwater potential is carried out based on 6 core drill holes, namely GT-01, GT-02, GT-03, GT-04, GT-05, GT-06. Analysis of this study uses the DRASTIC method as a weighting and valuation method. In the DRASTIC method of groundwater vulnerability influenced by several factors, namely, the depth of the groundwater, rainfall, topography (slope), lithology, soil texture and hydraulic conductivity. The types of aquifers found in the study area were free aquifers with a depth of 3.15 – 4.7 m, divided south while aquifers were depressed with a depth of 12.1 – 55.5 m in the northern and central parts. The index value varies when the minimum rainfall is 72-146 with a low level vulnerability and when rainfall is high 96-165 the level of vulnerability is low to high, then the effect of mining activities is the cutting off of aquifer layers.

There is a crucial need for high security, with data and information accumulating in abundance. More attention has now been given to biometrics. Face biometrics, useful for the authentication of a person, is a simple and non[1]intrusive method that recognizes face in a complex multidimensional visual model and develops for it a computational model.

Faces are complex, multidimensional, meaningful visual stimuli and it is difficult to develop a computational model for face recognition. We present a hybrid neural network solution that matches other methods favorably. The system combines local image sampling, a neural map network that is self-organizing, and a convolutional neural network. The self-organizing map provides a quantization of image samples into a topological space where nearby inputs in the original space are also nearby in the output space, thereby reducing the dimensionality and invariance of minor image sample changes, and the convolutionary neural network provides partial unchanged to translation, rotation, scale, and deformation.

First we present an overview of face recognition in this paper and discuss the methodology and how it works. Then we represent the latest techniques of face recognition listing their advantages and disadvantages. Some techniques specified here also improve the effectiveness of face recognition underdifferent conditions of lighti ng and expression of face images.

We use a 400 image database of 40 people that contains quite a high degree of variability in expression, pose, and fa cial details. We analyze the complexity of computations and discuss howto add new classes to the trained recognizer

The pressures of big-time college sports coupled with NCAA academic legislation has set up a system of inequality among student-athletes to achieve academic success. Blackman (2008) emphasized that NCAA academic legislation was racist in nature. Several researchers (Eitzen & Purdy, 1986; Hawkins, 2010; Kiger & Lorentzen, 1986; Purdy, Eitzen, & Hufnagel, 1982) determined that Black student-athletes are woefully underprepared for college but are heavily recruited for athletic ability. Black student-athletes are often isolated from the rest of campus, especially given the stereotypes others have about their motives, academic ability, or skin color. Revenue sport student-athletes have performed worse academically than other athletes and general students on campus (Purdy et al., 1982; Upthegrove et al., 1999). The purpose of this study was to examine grade point average (GPA), time-to-degree, and demographic characteristics of student-athletes entering in 2004 at Division I institutions, comparing Black and White student-athletes in order to examine disparities and the detrimental effects of the system on Black athletes. Through the lens of Critical Race Theory, results indicated that Black athletes are disadvantaged prior to enrollment from the pressure to focus on athletic pursuits and struggle to graduate in a timely manner.

A new labeling and a new graph called cube difference labeling and the cube difference is defined. Let G be a (p,q) graph. G is said to have a cube difference labeling if there exists injection f:V(G)—›{0,1,2,…,p-1} such that the edge set of G has assigned a weight defined by the absolute cube difference of its end vertices, the resulting weights are distinct. A graph which admits cube difference labeling is called cube difference graph. The cube difference labeling for some special graph families like Pan graph, Lollipop graph, Barbell graph, Sunlet graph, Sparkler graph, Fan graph, Triangular Snake Graph, Z-Pn graph are discussed in this paper.

Aluminum zinc sulphide (Al2ZnS4) ternary thin films were successfully deposited on glass substrates using solution growth technique at bath temperatures 298 K and 333K. The films were characterized for structural properties using GBC enhanced mini-material analyzer x-ray diffractometer with a wavelength of 1.5418 A . The structural characterization revealed that the films exhibited polycrystalline structure. The optical characterization was done using UV-VIS-NIR Spectrophotometer. Transmittance was found to vary from 32-90 % and 42-95 %for films deposited at bath temperatures of 298 K and 333K respectively while the optical band gap of 3.40-3.85 eV was observed. The high transmittance in the visible region and wide band gap energy exhibited by the films suggest that the films could be used as window layers in heterojunction solar cell as well as in optoelectronic applications.