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Objective: The study was conducted with an objective to prophesy the spiker’s performance on the basis of anthropometric characteristics. Variables: In the study, Spiker’s Performance was selected as dependent variable (DV) and selected anthropometric characteristics i.e. SH (Spiker’s Height), SW (Spiker’s Weight), SAL (Spiker’s Arm Length), SFAL (Spiker’s Fore Arm Length, SUAL (Spiker’s Upper Arm Length), SUAC (Spiker’s Upper Arm Circumference), SWC (Spiker’s waist Circumference), SHC (Spiker’s Hip Circumference), SLL (Spiker’s Leg Length), SLLL (Spiker’s Lower Leg Length), STC (Spiker’s Thigh Circumference) and SCC (Spiker’s Calf Circumference) were observed independent variables (IV). Subjects: For the purpose of the present study, 75 spikers were selected as subjects from interuniversity level volleyball tournament organized in India. Statistical Analysis: To find out relationship between Dependent Variable (Spiker’s Performance) and Independent Variables (selected Anthropometric Characteristics), product moment correlation and multiple correlations were applied. For the prophecy of Dependent Variable (Spiker’s Performance) on the basis of Independent Variables (selected Anthropometric Characteristics), multiple regression equation was applied. Conclusions: For the prophecy of Dependent Variable (Spiker’s Performance) on the basis of Independent Variables (selected Anthropometric Characteristics) two regression models are established. Established regression models are: (1) Spiker’s Performance = -35.586 +.667 X Spiker’s Arm Length and (2) Spiker’s Performance = -23.512 +.458 X Spiker’s Arm Length + .210 X Spiker’s Upper Arm Circumference.

The objective of the study was to predict of Libero’s performance on the basis of selected anthropometric characteristics. In this study, Libero’s performance was selected as dependent variable (DV) and selected anthropometric characteristics i.e. LP (Libero’s Performance), LH (Libero’s Height), LW (Libero’s Weight), LAL (Libero’s Arm Length), LFAL (Libero’s Fore Arm Length, LUAL (Libero’s Upper Arm Length), LUAC (Libero’s Upper Arm Circumference), LWC (Libero’s Waist Circumference), LHC (Libero’s Hip Circumference), LLL (Libero’s Leg Length), LLLL (Libero’s Lower Leg Length), LTC (Libero’s Thigh Circumference) and LCC (Libero’s Calf Circumference) were observed as independent variables (IV). For the purpose of the present study, the subjects were selected from Inter-university level Volleyball Tournament. A total of 75 male Liberos were purposively selected for the study. The age of the subjects ranged between 18-28 years. To find out relationship between Dependent Variable (Libero’s Performance) and Independent Variables (selected Anthropometric Characteristics), Product Moment correlation and multiple correlations were applied. For predicting Dependent Variable (Libero’s Performance) on the basis of Independent Variables (selected Anthropometric Characteristics), multiple regression equation was applied. Established regression models are: (1) Libero’s Performance = 114.163-551X Libero’s Height (2) Libero’s Performance = 137.345 -1.171 X Libero’s Height+.913 X Libero’s Leg Length (3) Libero’s Performance = 95.165 -.944 X Libero’s Height+1.296 X Libero’s Leg Length -1.024 X Libero’s Calf Circumference. The findings suggest that performance is associated with anthropometric characteristics with biomechanical implications that may be used to provide a more complete evaluation of Libero’s performance.

Introduction: Vitiligo is an acquired depigmenting disorder having a major impact on quality of life. Childhood onset vitiligo differs from adult onset vitiligo in demographic and clinical characteristics. Aim: To study the clinico-demographic pattern of childhood onset vitiligo. Materials and Methods: Consecutive patients of vitiligo attending Dermatology OPD from April, 2017 to March, 2018 with history of onset of disease before the age of 12 years were evaluated. A detailed history, examination findings, laboratory parameters and VIDA and VASI score were recorded and statistical analysis was done. Results: Of the 120 patients recruited for the study, 48 were male and 72 were female. The mean age of onset of disease was 8.18 years. The most common age group affected was 5 to 10 years (50%). The mean duration of disease was 1.81 years. The most common site affected was head & neck (56.66%), followed by lower limb (26.66%), trunk (23.33%), upper limb (15%) and mucosa (15%). The most common site of onset was eyelids (37.5%). The most common pattern of vitiligo was segmental vitiligo (30%). Leukotrichia was found in 15% and Koebner phenomenon in 19.16%. Autoimmune association was found in 5% and association with other cutaneous conditions in 7.5%. VIDA score was +4 in 35%, +3 in 16.66%, +2 in 10%, +1 in 26.66%, 0 in 6.67% and ?1 in 5%. Conclusion: The most common site of onset was eyelids. The most common pattern was segmental vitiligo. Autoimmune association and association with other skin disorders were less in our study. Keywords: Childhood, Vitiligo, Leukotrichia, Koebner, Autoimmune, VIDA.

This paper investigates the critical component of thermal power station which requires preventive maintenance by using MCDM methods. The data have been collected from one the thermal power plant. The major outage of the thermal power plant unit is due the MFT. MFT is operated to protect the boiler from any unsafe operation condition in the boiler. To reduce the MFT of generating unit, each cause of MFT is important to analyze. The main causes of MFT are flame failure and protection, coal mills, induced draft, forced draft and primary air fans, drum level high or low, furnace pressure high or low, etc. Fans and coal mills are the critical cause of MFT which are determine by using MCDM methods. The attributes used for the decision making are number of failures, outage hours and mean-time-to-repair.

Concrete is one the most extensively used construction material all over the world. Many scientists and researchers are in quest for developing alternate construction material that are environment friendly and contribute towards sustainable development. Huge amount of rubber tyres waste is being generated day by day which creates the disposal problem and has many environmental issues. As this scrap rubber waste is an elastic material having less specific gravity, energy absorbent material can be used as a replacement material for obtaining lightweight concrete. In present study an attempt is made to partially replace the rubber aggregates by coarse aggregates in concrete and to study its impact on properties of concrete. A modified concrete is prepared by replacing coarse aggregates in concrete with rubber aggregates by varying the replacement proportion from 0% to 20% with increment of 5%. 3 cubes for each percentage of replacement are casted and tested after 28th days of curing. The physiomechanical properties like density, compressive strength and elastic properties of modified concrete are determined from concrete cubes experimentally and further stresses and displacement at every 50 mm depth of beams are determined analytically by method of initial functions (MIF). MIF is an analytical method in which elastic properties and theoretical loads are used to analyse the beams without conducting any experimental programme. The analytical results by MIF are compared with bending theory.

This paper determines the optimum process parameters of the non-conventional electrical discharge machining (EDM). The performance of the EDM machine depends upon the process parameter used. In this analysis weight percentage, pulse current (Ip), discharge voltage (V) and pulse duration (Ton) used as process parameters. The optimized output parameters are MRR, TWR, surface roughness and flatness. By using face centered composite design nine trials were conducted on the work piece which is made up of AISI D2 tool steel. The trial results obtained were used in AHP and PROMETHEE multi attribute decision making method. The weights of the responses were determined by the AHP method and select the best alternative by AHP and PROMETHEE method. machining parameters and accuracy of the component produce by EDM can be control by using the obtained results

This paper determines the optimum process parameters of the non-conventional electrical discharge machining. The performance of the EDM machine depends upon the process parameter used. In this analysis, weight percentage, pulse current (Ip), discharge voltage (V), and pulse duration (Ton) are used as process parameters. The optimized output parameters are MRR, TWR, surface roughness, and radial overcut. By using face-centered composite design, nine trials were conducted on the workpiece which is made up of Al7075/SiC/WS2 hybrid composite. The trial results obtained were used in decision-making method correlation coefficient and standard deviation (CCSD) integrated approach. These results give useful information on how to control the machining parameters and accuracy of the components produced from EDM. Decision-making method used is simple, and results obtained are confirmed by conducting confirmation experiments.

This paper presents a study carried out on reinforced concrete infilled beams. In reinforced concrete beams, less stressed concrete near neutral axis can be replaced by some light weight material like bricks to reduce the weight of the structure and also achieve the economy. Infilled zone is obtained with the help of stress block diagram, used for limit state design of reinforced concrete beams as per IS 456. Method of initial functions is used for the analysis of infilled reinforced concrete composite beams. The method of initial function (MIF) is an analytical method of elasticity theory. The results obtained by MIF are compared with those predicting by Finite Element Method (FEM) based software ANSYS, and it is observed that they are comparable.

Behaviour of beam depends on its depth. A beam is considered as deep, if the depth span ratio is 0.5 or more. In the available beam theories, we have to apply correction in case of deep beams. In the present work, method of initial functions (MIF) is used to study the effect of depth on the behaviour of concrete beam. The MIF is an analytical method of elasticity theory. It gives exact solutions of different types of problems without the use of assumptions about the character of stress and strain. In this method, no correction factor is required for beams having larger depth. Results are obtained for three different cases of depth span ratios and compared with available theory and finite element method-based software ANSYS. It is observed that deep beam action starts at depth span ratio equal to 0.25.

The present work illustrates the method of initial functions (MIF) to see the effect of elastic properties on the behaviour of the beam. Generally for beams, modulus of elasticity, shear modulus and Poisson’s ratio are the commonly used parameters, however in the present study, varied Poisson’s ratio has been considered and its effect on the behaviour of beam has been observed. The MIF being an analytical method have the ability to workout exact solutions of different types of problems without the use of hypotheses about the character of stress and strain. In the present study, the equations of two-dimensional elasticity have been used for deriving the governing equations.