Table 3 gives the empirical values of green compression strength against green compression strength values calculated using the developed mathematical model. A look at Table 3 shows that the difference between the empirical values of green compression strength and the calculated green compression strength values is not so much. The table showed that green compression strength has been predicted for 8% clay content and 9% mois- ture content, and 9% clay content and 10% moisture content and the result of the prediction is within a reasona- ble range as can be seen in the table. The results in Table 3 have shown that the developed model can be a quick method or tool for the prediction of green compression strength on the shop floor. Given the importance of this parameter the green compression strength of a moulding mixture can be estimated using the model and the in- formation can be used in predicting the mouldability of the moulding mixture. As stated earlier green compres- sion strength of 10.34 kPa and above is required for mouldability of green sand moulds [4]-[6] [14]. Statistical approach have indeed proven to be a good method for the study of green compression strength as can be seen above it had provided a step by step analysis of the relationship between green compression strength and the two variables of clay content and moisture content. Their interactive influence on green compression strength has also been studied through the use of multiple **coefficient** of **determination** R 2 . No wonder it had been supported by many researchers as a useful research tool [8]-[14].

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Abstract — The aim of the present study is to explore applicability of artificial intelligence techniques such as ANFIS (Adaptive Neuro-Fuzzy Inference System) in forecasting flood for the case study, Dharoi Dam on the Sabarmati river near village Dharoi in Kheralu Taluka of Mehsana District in Gujarat State, India. The proposed technique combines the learning ability of neural network with the transparent linguistic representation of fuzzy system. ANFIS models with various input structures and membership functions are constructed, trained and tested to evaluate the models. Statistical indices such as Root Mean Square Error (RMSE), Correlation **Coefficient** (R), **Coefficient** of **Determination** (R 2 ) and Discrepancy Ratio (D) are used to evaluate performance of the ANFIS models in forecasting flood. This objective is accomplished by evaluating the model by comparing ANFIS model to Statistical method like Log Pearson type-III method to forecasting flood. This comparison shows that ANFIS model can accurately and reliably be used to forecast flood in this study.

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reveal the individual effect of clay and moisture content on dry shear strength of the moulding mixture. The two equations can be used to predict the influence of the variable factors individually on the dry shear strength. The two equations are showing that as the two independent variables increase, dry shear strength also increases. This is supported by the strong positive correlation coefficients and coefficients of **determination**. For Equation (15) the correlation **coefficient** for the relationship between dry shear strength and clay content variation is 0.96 while the **coefficient** of **determination** is 0.93, which means 93% in changes of dry shear strength is as a result of vari- ations in clay content assuming clay content is acting alone. For Equation (16) the correlation **coefficient** for the relationship between dry shear strength and moisture content variation is 0.97 while the **coefficient** of determi- nation is 0.95, which means 95% in changes in values of dry shear strength is as a result of variations in mois- ture content assuming it is acting alone. The regression results fully agree with previous works by several au- thors [7]-[15] including Jain [16] who studied the influence of clay and moisture on dry shear strength. Clay and moisture content increase, both increase the dry shear strength of moulding mixtures.

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earnings per share (EPS), increase by 0.509% for every 1% increase in return on equity (ROE), increase by 0.001% for every 1% increase in liquidity, decrease by 0.003% for every 1% increase in leverage, decrease by 0.165% for every 1% increase in corporate tax and increase by 0.086% for every 1% increase in sales growth. The significant values or P-values of 0.757, 0.772, 0.994, 0.976, 0.548 & 0.612 in all the respective variables are greater than the t-value of 0.05. We, therefore, accept Null Hypothesis and reject Alternative hypothesis that the impact of corporate earnings, profitability, liquidity, financial leverage, corporate tax and sales growth on dividend payout of Avon Crowncaps & Containers Nig. Plc is insignificant. The correlation **coefficient** (r) of 0.913 shows a strong relationship and the **coefficient** of **determination** (r 2 ) of 0.833 indicates that about 83% of variation in dividend payout can be explained by corporate earnings, profitability, liquidity, financial leverage, corporate tax and sales growth.

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k = ∝ λ (8) The variation of extinction **coefficient** values can be depicted from Table 3. It can be seen that the values ranges from 0.10 - 0.27 and 0.04 - 0.24 for as-deposited and annealed films, respectively. The low value of ex- tinction **coefficient** for both as-deposited and annealed thin films shows the smoothness and homogeneity of deposited films. The refractive indices for Ni-doped Sb 2 S 3 thin films were calculated using the following rela-

Pressures and flow rates were measured in accessible surface glomeruli of mutant Wistar rats under conditions deliberately designed to prevent achievement of filtration pressure equilibrium, that is, the equalization of transcapillary hydrostatic and oncotic pressures by the efferent end of the glomerulus as typically observed in the normal hydropenic rat. Disequilibrium was obtained at elevated levels of glomerular plasma flow (GPF) brought about by acute expansion of plasma volume with a volume of rat plasma equal to 5% of body weight. Glomerular hydrostatic and oncotic pressures measured at high GPF were used to calculate the ultrafiltration **coefficient**, K f , the product of effective hydraulic

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Theoretical derivation of local resistance **coefficient** of sudden expansion tube is presented. Sev- eral assumptions are analyzed in the theoretical derivation. That the head loss shall be neglected is affirmed. Experimental data proves that the pressure before and after sudden expansion section is basically the same. That the friction force on the side face of control body is neglected is denied and it is pointed out that such neglect is the main cause for error between theoretical calculation and actual measurement. Experimental device for measuring local resistance **coefficient** is de- signed in combination with theoretical derivation process. Optimal gradually varied flow section is selected after sudden expansion pipe in Bernoulli equation based on variation of piezometer tube head. It is pointed out in accordance with experimental data analysis that the value of local resistance **coefficient** of sudden expansion tube determined through experimental data is closer to the actual situation during pipeline design.

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Using the Randles circuit model, we determined that, for the impedance to fall on a straight line in a Cole–Cole plot, a dimensionless fluctuation **coefficient** that represents the quantity of the fluctuation in ion concentration near an electrode must be considered. The electrochemical impedance spectroscopy (EIS) measurement in a silver ferrocyanide-thiocyanate solution containing antimony potassium tartrate (APT) known as a leveling agent fell on a straight line in a Cole–Cole plot. The dimensionless fluctuation **coefficient** of silver ions, which was shown to be independent of the APT concentration, was determined to be 8.9 by comparison with calculations of the Randles model impedance. In addition, according to the derived formulae, exchange current density and equilibrium concentration of silver ions were determined.

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Inverse problems for the parabolic heat equation consisting of determining the unknown radiative/absorption/perfusion **coefficient** depending on both time and space have re- cently received some attention, (Deng et al., 2008, 2010; Savateev, 1995). The knowledge of this physical property is important in understanding the heat transfer in biological tissue, (Trucu, 2009). Its direct measurement is not available in the general case when it depends on both space and time. However, it can be inferred by inverse methods based on the measurement of the interior temperature, as considered in (Trucu et al., 2011). On the other hand, this formulation means that infinitely many intrusive temperature mea- surements with thermocouples embedded inside the material are necessary at all space points and for all times. A possible alternative to this general inverse modelling is to restrict the generality of the **coefficient** by seeking it as a sum of a function dependent of time and one dependent of space. This additive class in which the admissible **coefficient** is sought allows to formulate an inverse problem for which measurement of the tempera- ture in time at a single fixed space point together with measurement in space at a fixed time are sufficient to ensure that the identification is possible. A similar approach has previously been investigated in related problems concerned with the identification of an additive heat source, (Hazanee and Lesnic, 2013; Hao et al., 2014). However, the inverse heat source problem is linear whilst the **coefficient** identification problem investigated in this paper is nonlinear and this significantly complicates its study.

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2. Draw the scatter diagram, which suggests that model could be used, is a graph showing the intensity and direction of the relationship between two variables. Only up to three-dimensional planes are best seen models suggested. This question is important: Does the relationship appear to be linear or curved? 3. Calculate the values of the correlation **coefficient** and the **coefficient** of **determination** (note: correlation **coefficient** measures the percentage of linear association between variables and coefficients of **determination** measures the percentage of variability of the dependent variable explained by the independent variable).

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In this study, a pool of 1481 descriptors classified into 18 different groups was calculated using Dragon soft- ware. Two groups of descriptors (properties and empiri- cal descriptors) were constant or nearly constant for all the 127 compounds. Therefore, these descriptors were di- scarded from further analysis. The remaining 16 groups of descriptors are: molecular walk counts, Galves topo- logical charge indices, Randic molecular profiles, aro- maticity indices, functional groups, atom-centered frag- ments, constitutional, charge, RDF, WHIM, topological, BUCT, geometrical, 3D-MoRSE, GETAWAY and 2D descriptors. Furthermore, chemical descriptors such as HO- MO, LUMO and polarizability were calculated using HyperChem software. Depending on the HOMO and LUMO values, electrophylicity, electronegativity, hard- ness, and softness descriptors were calculated. Other de- scriptors such as surface area approximate, surface area grid. Volume, mass, polarizability, hydration energy, o- ctanol-water partition **coefficient** (log P), and refractivity were calculated (group 17). Discarding highly inter-co- rrelated (r > 0.95) descriptors reduced the total number of descriptors to 223 (see Table S2 in the supporting in- formation). Following the procedure described in the next section, this number of descriptors was declined to 11 descriptors in the “final” MLR regression model (mo- del 11 in Table 1).

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Abstract: The objective of this study was to examine and influence among the strategic partners, administrative experts, employee experts and agents of change on service performance (Study at the State Electricity Company of South Sumatra). The sample used in this study consisted of 360 population, with 150 sample respondents representing the region, Palembang, Jambi, Lahat, Bengkulu and South Sumatra Regional Office. The sampling method used was purposive sampling, the analysis used is multiple linear regression analysis. Based on the data analysis, the regression equation obtained is Y = 7,206 + 0,514 X1 + 0,215 X2 + 0,884 X3 + 0,109 X4 + e. The result of study by using t test partially had the most dominant influence on the service performance that is employee expert was 0,884. The result of study simultaneously used F-test count was 93,349 or P-value (Sig) 0.000 <α 0,5 meaning that it can be stated that there was a positive and significant influence between Strategic Partner variables, Administrative Experts, Employee Experts and Change agent simultaneously on Service Performance of State Electricity Company (PLN) South Sumatera. The value of **coefficient** of **determination** ( was 0.713 this is implied that there was an influence of strategic partners, administrative experts, employees experts and change agents simultaneously on Performance Service of Human resources of State Electricity Company (PLN) South Sumatera of 71.3%. It is suggested that to the state electricity company that partially the strategic partner role had the most dominant influence on electricity service in south Sumatra. This means that the company's strategy to overcome the global competition in the electricity sector, and simultaneously the role of human resources had the most dominant influence. It means that the Company’s commitment in efforts to improve and develop human resources should become a special attention in order to improve the service to customers.

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A method to determine the average heat transfer **coefficient** values, h, is required to characterize the effect of cooling by both air and mist respectively. These h values will indicate the amount of heat transferred by both means of cooling, thus enabling us to draw a conclusion on the heat transfer augmentation. In the analysis, the flows on the fin surfaces may be treated as flow between parallel plates. But since the gap between the fins is significantly large and the flow length is comparatively short, the Figure 1: Schematic Diagram of the

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Linear regression models derived for reconstruction of stature are shown in Table 3. Lower limb and foot length showed a significant correlation with the stature (P=0.0001). In addition, for **determination** of the predic- tive accuracy of linear regression models for stature es- timation from lower limb and foot length, **coefficient** of **determination** (R 2 ) and Standard Error of Estimate (S.E.E)

Values of erf (w) can be obtained from standard mathematical tables. It should be noted that in this one-dimensional solution of Fick’s second law, the space and time variables, x and t, are linked in the form ( $ / ); see equation (9). In order to express the diffusion **coefficient** in terms of experimentally measurable quantities, equation (9) is first differentiated with respect to x:

This research article presented an efficient approach to accurate **determination** of potential runoff **coefficient** in Jeddah city using remote sensing and GIS. The ef- fects of land use, soil hydrological characteristics, surface slope, were considered in calculating runoff **coefficient** and consequently runoff depth and runoff vo- lume. The results of the research show that the total runoff volume for a rainfall depth of 106.3 mm is 136.5 million m 3 . Results also show that the main factors

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The effect of various factors on **coefficient** of friction has been investigated by several workers (Ghasemi Varnam- khasti et al., 2007; Joshi et al., 1993; Molenda et al., 2000; Shepherd and Bhardwaj, 1986; Synder et al., 1967). Many re- searchers, determining the static and dynamic friction coef- ficients of agricultural materials, have observed an increase in dynamic friction coefficients with an increase in moisture content (Coskoner and Karababa, 2006; Kappuswamy and Wratten, 1970; Kashaninejad and Rezaghah, 2007). Gupta and Das (1998) reported that dynamic friction coefficients of sun flower seed increased linearly with increase in the moisture content, irrespective of the nature of the surfaces. Chung and Verma (1998) reported that the effect of moisture content was found to be more pronounced on **coefficient** of static friction than **coefficient** of dynamic friction for soy bean, red kidney bean and peanut. The results of this re- search showed that the surface material has a greater effect on dynamic friction **coefficient** than on the **coefficient** of static friction. Kappuswamy and Wratten (1970) in their ex- periments aimed at **determination** of static and dynamic friction coefficients of paddy grains observed that the coeffi- cient of dynamic friction increased generally with increase in velocity at all moisture content.

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Laborious inverse numerical analyses are, therefore, necessary to obtain virtually correct friction coefficients. This can be overcome if a forging- like friction experiment in which friction-sensitive behaviour is independent of material behaviour exists. Such an approach allows the **determination** of the functional relations between the experimental results and the friction coefficients through inverse numerical analyses only once. These functional relations later enable a quick and direct use, still being based on intensive inverse analyses. In cylinder compression tests, the term immigrated contact area (ICA) is introduced by Tan [18] and defined as the lateral surface portion that comes into contact with the platens as deformation proceeds. The preliminary sensitivity analyses show that, at room temperature, ICA is practically independent of material flow curve to a certain extent. Considering the power law formula σ f = Kε n as the material flow curve, ICA

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The experiment for the **determination** of linear absorption **Coefficient** for different materials (absorbers) was carried out in NDA Physics Laboratory.However, some limitations might have been encountered during the experiments. Hence, the results of this investigation is as follows:

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In recent studies, there have been different types of cooling system which have been used widely in different industries. Stirling motors are characteristically cleaner contrasted with diesel motors and calm because of their utilization of outside, steady weight burning. They don't ordinarily require a diesel particulate channel as sediment molecule creation is limited. Because of their mechanical simplicity, and consolidation of gas orientation, modern free-cylinder Stirling motors are sturdy and have exhibited lifetimes in excess of 50,000 hours. The major challenge in this system is the amount of power used to run the system. So, this research shows how a Stirling cooler is used efficiently which works with less power and improve the **coefficient** of performance. Stirling engine creates little vibration contrasted with the interior ignition engine. On account of the absence of the blast, the nonappearance of the valves that open and close, the absence of gas getting away from, the Stirling engine requires simple upkeep. These

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