Intention Of Work Research Articles

Numerical Entropic Analysis of Mixed MHD Convective Flows from a Non-Isothermal Vertical Flat Plate for Radiative Tangent Hyperbolic Blood Biofluids Conveying Magnetite Ferroparticles: Dual Similarity Solutions

Magnetic nanofluids are exploited in cancer therapeutics through drug delivery and cancer imaging. In addition, these kinds of nanoparticles play an interesting role in the destruction of cancerous cells without distressing the nearby strong cells by generating larger temperatures around tumors. Therefore, the intention of the present research work is to analyze the features of entropy generation toward the significant impacts of thermal radiation and magnetic field on the mixed convective incompressible flow of a tangent hyperbolic magnetite iron oxide nanofluid from a vertical impermeable plate under the effective effects of viscous dissipation and Joule heating. Here, the blood fluid is taken as a base non-Newtonian liquid for the present homogenous magnetic mixture. For simplifying the governing conservation equations, appropriate transformations are taken into account to switch correctly the resulting partial differential equations to ordinary differential equations. The converted mathematical formulations are solved numerically via an efficient algorithm based on the bvp4c method. The multiple results are marked in the range of opposing flows only. The influences of sundry physical constraints on temperature, fluid velocity and entropy are inspected by the assistance of various graphical representations. Moreover, the obtained values of the Nusselt number and skin friction coefficient are scrutinized numerically and discussed physically in detail. As the main findings, it is perceived that the Weissenberg number decelerates the nanofluid motion and enhances the temperature in both possible solutions, whereas the power-law index accelerates the generating convective flow and diminishes the temperature distribution. Besides, the entropy generation shows an increasing behavior toward the volume fraction of nanoparticles, Weissenberg number, Reynolds and Brinkman numbers in both forms of solutions, while a decreasing trend is noticed for the power-law index. A comparative analysis with the available results is performed tabularly for some limiting cases.

PENGARUH KOMPENSASI DAN SEMANGAT KERJA TERHADAP INTENSI TURNOVER PADA KARYAWAN PT. JAYA SAMUDRA BERSAMA DI KOTA AMBON

Research was implemented with objective to know Compensation and Spirit at Work empirically to employee Turnover Intention. Data resources from this research were taken from books references, journal, electronic media and interview. Research was implemented to 44 research subjects of operational employee and used probability sampling technique and distribute questionnaire of Compensation, Spirit at Work and Turnover Intention to Employee of PT. Jaya Samudra Bersama, in Ambon. Data analyses had been used regression analyses technique and used SPSS Statistical 16 for windows program. Results of the research are shows that hypothesis use in this research could be accepted. First hypothesis shows that there is a negative influence between Compensation to Turnover Intention with value of correlation are -0,568; it means that if compensation is more higher, employee Turnover Intention will lower. Second hypothesis shows that there is an influence of loyalty to Turnover Intention with correlation value of -0,345 which means that if loyalty higher then employee Turnover Intention will get lower. Third hypothesis shows that there is an influence between Compensation and Spirit at Work to Turnover Intention with value of r = -0,463 which mean that more higher Employee Compensation and Spirit at Work then will lower employee Turnover Intention. While effective contribution of this research to compensation and Spirit at Work to Turnover Intention of employee in PT. Jaya Samudra Bersama are 46,3%. Keywords: Compensation, Spirit at Work, Turnover Intention

Extending a Conceptual Framework for Junior Doctors' Career Decision Making and Rural Careers: Explorers versus Planners and Finding the 'Right Fit'.

This study uses data from a Rural Clinical School of Western Australia (RCSWA) and WA Country Health (WACHS) study on rural work intentions among junior doctors to explore their internal decision-making processes and gain a better understanding of how junior doctors make decisions along their career pathway. This was a qualitative study involving junior doctor participants in postgraduate years (PGY) 1 to 5 undergoing training in Western Australia (WA). Data was collected through semi-structured telephone interviews. Two main themes were identified: career decision-making as an on-going process; and early career doctors’ internal decision-making process, which fell broadly into two groups (‘explorers’ and ‘planners’). Both groups of junior doctors require ongoing personalised career advice, training pathways, and career development opportunities that best “fit” their internal decision-making processes for the purposes of enhancing rural workforce outcomes.

Classification of EEG Signals using WPT, MGWO and Rule Based Classifiers

The essential intent of the purported work is to develop an accurate automated seizure detection model for the performance evaluation of epileptic patients in an improved manner. Long data sets of EEG signals are recorded for a long duration of time which has taken from PhysioNet CHB-MIT EEG dataset for this experimental work. Six types of elements are excerpted from EEG signals by using WPT method. By using this feature extraction method, variance of monotonic amplitude, Mean of joint instantaneous amplitude and mean monotonic absolute amplitude as features are extracted . These features are inputted to each of the six classifiers for validation of the proposed method. Here, Modified Grey Wolf Optimization technique is used to optimize the parameters of the classifiers. Then, all the features are combinely inputted to the rule based six number of classifiers to detect normal and seizure EEG segments. The developed seizure detection WPT- Naive-Bayes method achieved excellent performance with the average Accuracy, specificity, sensitivity, G-mean, positive predictive value, and Mathews correlation coefficients as 97.24%, 97.34%, 97.13%, 98.1%, 96.99%, 97.66% respectively The average area under curve (AUC) is approximately 1. The proposed method is able to enhance the seizure detection outcomes for proper clinical diagnosis in medical applications.

Experimental Examinations on Purification of Water by Rice Husk and Its Ash

In this research, an effort has been made to provide solutions to water pollution with the utilisation of Rice Husk (RH) & Rice Husk Ash (RHA). It has been accomplished by making water purification filters with RH & RHA. The filters blocks consisting RH& RH were prepared by mixing up of different percentage of RH, RHA, fine aggregate and cement. The ingredients of filter blocks were mixed up in required composition. Casted filter were set for drying followed by the process of curing. Water quality analysis of Pond water, River water & Kitchen waste water was analysed. Various parameters of water passed through different filter blocks were analysed, hence determining the efficiency of the treatment. The main intention of this research work was to reduce the hardness, chloride concentration, presence of turbidity, sulphates and iron content from water samples collected from various locations by using RH based filters and RHA based filters. To determine the reusability of column filter, different sets of experiments were performed. Through these experimental results obtained, it was noticed that the efficiency of column filter was near about 5% after 5 cycles of process. Thus, this study helps to know how RHA can be effectively utilized as filters and about the various parameters that can be removed from the waste water by using RHA based filters.

A Novel Integrated Principal Component Analysis and Support vector Machines based diagnostic system for detection of Chronic Kidney disease

The alarming growth of chronic kidney disease has become a major issue in our nation. The kidney disease does not have specific target, but individuals with diseases such as obesity, cardiovascular disease and diabetes are all at increased risk. On the contrary, there is no such awareness about related kidney disease and its failure which affects individual's health. Therefore, there is need of providing advanced diagnostic system which improves health condition of individual. The intent of proposed work is to combine emerging data reduction technique, i.e., principal component analysis (PCA) and supervised classification technique support vector machine (SVM) for examination of kidney disease through which patients were being suffered from past. Variety of statistical reasoning and probabilistic features were encountered in proposed work like accuracy and recall parameters which examine the validity of dataset and obtained results. Experimental results concluded that SVM with Gaussian radial basis kernel achieved higher precision and performed better than other models in term of diagnostic accuracy rates.

A novel integrated principal component analysis and support vector machines-based diagnostic system for detection of chronic kidney disease

The alarming growth of chronic kidney disease has become a major issue in our nation. The kidney disease does not have specific target, but individuals with diseases such as obesity, cardiovascular disease and diabetes are all at increased risk. On the contrary, there is no such awareness about related kidney disease and its failure which affects individual's health. Therefore, there is need of providing advanced diagnostic system which improves health condition of individual. The intent of proposed work is to combine emerging data reduction technique, i.e., principal component analysis (PCA) and supervised classification technique support vector machine (SVM) for examination of kidney disease through which patients were being suffered from past. Variety of statistical reasoning and probabilistic features were encountered in proposed work like accuracy and recall parameters which examine the validity of dataset and obtained results. Experimental results concluded that SVM with Gaussian radial basis kernel achieved higher precision and performed better than other models in term of diagnostic accuracy rates.

Users versus Cloud Service Providers, on the Trust, Threats, Confidentiality and Reliability in Using Cloud Computing Services

Cloud Computing refers to applications and services that run on a distributed network using virtualized resources and accessedby common protocol and networking standards. Cloud computing, abstracts the details of system implementation from users anddevelopers. Cloud computing is portioned in three different types of service provision. In each case, the service is hosted remotelyand accessed over the network (usually the internet) through software called a web browser, rather than been installed locally ona customer’s computer. the first among the service is; SaaS (Software as a service), which refers to the provision of software inthe cloud. Secondly, PaaS (Platform as a service), refers to the provision of service that enables customers to deploy in the supply.Thirdly, IaaS (Infrastructure as a service) refers to services providing computer processing power, storage space and networkcapacity, which enables customers to run arbitrary software (including operating systems and network applications) in the cloud.Moreover, there is a need for cloud computing in the society today to obtain an optimum service. APA referencing format wasused to acknowledge those who have done some work in this area. The method adopted for the analysis of the system in thisproject work questionnaire development is sampling and data collection. The intention of this project work is of two folds; first; toidentify the level of trust the users have in using cloud computing services; secondly; to identify the societal challenges foradopting cloud computing, and the solutions from real-world for the challenges that do not have proper mitigation strategiesidentified through literature review.

The Relationship Between Height Components and Bi-iliac/Bi-acromial Index with Blood Pressure Among Chakma Tribal Children of Tripura Aged 6-16 Years

Blood pressure in pre-pubertal and pubertal age group is now an alarming situation to health professionals worldwide. Little knowledge is still with us about how different body composition parameters correlate with blood pressure. Blood pressure (BP) correlates with various factors like weight, height, sitting height (SH) among children and adolescents in developed countries with upper-middle socio-economic society. Intention of present research work is to contrast sitting height, relative sitting height ratio (Cormic Index), biiliocristal to biacromial ratio and BMI of rural Chakma boys and girls between the age 6-16 years of Tripura, North-eastern State, with the National Health and Nutrition Examination Survey III (NHANESIII) reference data to conclude the correlation among sitting height, relative sitting height ratio, biiliocristal-biacromial ratio and BMI with BP among Chakma children of lower socio-economic group of Tripura. A total of 1350 children (676 boys and 674 girls) of 12 government schools from Chakma community aged 6-16 years were selected by stratified cluster random sampling method of North and Dhalai district of Tripura, undergo blood pressure and anthropometric measurements using standard techniques. Multiple regression is applied for establishing the relationship between height, sitting height, relative sitting height ratio, biiliocristal-biacromial ratio and BMI with Systolic blood pressure (SBP) and Diastolic blood presure (DBP) among these children. In comparison with NHANES III reference data, Chakma children aged 6 to 16 years showed lower mean sitting height value. In the multiple regression analysis, sitting height is positively associated with systolic BP (β=0.893; 95% Ci=0.964-0.966) and diastolic BP (β=0.505; 95% Ci=0.935-0.938) in both the sexes. The results of present research work is statistically significant for both sitting height and cormic index with systolic BP (β=0.650; 95% Ci=0.963-0.970 and β=0.103; 95% Ci=0.963-0.970 respectively), whereas only sitting height remains significant with diastolic BP (β=3.519; 95% Ci=0.934-0.946) after being adjusted for age, gender and BMI among Chakma children. The present findings recommended a must large population based research work after being adjusted for factors like dietary habits, athletic performance, salt intake, socio-economic status etc. for accurate estimation of predominance of hypertension among North-eastern children and adolescents. Significant positive association was found between systolic and diastolic blood pressure together with the height, sitting height, relative sitting height ratio among studied population.

Effect of ZnS nanowire ARC on CZTS/CdS thin film solar cell by Nebulizer Spray Pyrolysis Technique

The main intention of this experimental work is to eliminate the reflection of the CZTS/CdS thin film solar cell by depositing the ZnS Antireflection coating (ARC) by Nebulizer Spray Pyrolysis Technique. The CZTS/CdS thin films with and without ZnS Antireflection coating (ARC) deposited using nebulizer spray pyrolysis method is reported in this work. The prepared films were characterized by X-ray diffraction, scanning electron microscopy and UV–Vis spectroscopy analysis. Structural parameters such as lattice constants, texture orientation factor, micro strain, dislocation density and crystallite size were estimated using XRD data. The efficiency of CZTS/CdS solar cell is calculated using I-V characteristics. The experimental results exhibit the short circuit current increased from 9.269 × 10−5A to 1.250 × 10−4A and efficiency raised from 0.21% to o.45%. with ZnS as a ARC. The theoretical quantum efficiency of CZTS solar cell with ZnS ARC is increased from 0.020% to 0.030%. The results indicates that the ZnS ARC is one of the perfect ARC in the CZTS solar cell.

Keeping the spark alive: preventing burnout at work while increasing work engagement

Leaders who ignite spirit, encourage passion and light the spark in employees to create the fire in their work environment are called the 'sparking leaders'. This study investigates mainly the impact of sparking leaders on the employees' work engagement, burnout and intention to leave the organisation and on the other side the impact of self-efficacy on the burnout and intention to leave the organisation, additionally. This study was conducted in Istanbul on participants working mainly in healthcare sector. Data of 291 respondents were subjected to exploratory factor analysis, reliability and convergent/discriminant validity analyses, and path analysis using SPSS and LISREL. Findings revealed that sparking leadership, as evaluated by employees, predicted work engagement and decreased their burn out as well as their intention to leave the organisation. The findings also revealed that the self-efficacy of the employees played an important role on decreasing their burn-out and intention to leave the organisation.

Fuzzy-based Classification of Vaporous Compound using Electronic Nose

The Fuzzy logic is a promising method in Artificial Intelligence. This is extensively employed to manage factors in the surroundings. The influence of fuzzy logic is demonstrated by evidence of making of proposed intelligent systems based on fuzzy logic methods e.g. pressure cooker, refrigerator, washing machine and so on. The intention of proposed work is to design an e-nose capable of detecting the distinct smell generated by various chemical vapours. These sensors of gas were used in this scheme. These readings from sensors passed to a fuzzy logic controller. The fuzzification process is taken by Mamdani style. The outcome of the proposed scheme is displayed at LCD display and matched to the outcome of simulation done using Matlab.

Microwave assisted extraction and characterization of polysaccharide from waste jamun fruit seeds

The intention of current work is to recover/extract polysaccharide from jamun fruit seeds (waste) by microwave assisted solid-liquid extraction (MAE) technique using four-factor (microwave power (MWP), pH, time (MWT) and solid to liquid (SL) ratio) five-level central composite rotatable experimental design (CCRED). The observed data was evaluated by statistically and a mathematical model (polynomial) was developed to predict the polysaccharide yield. Numerical optimization technique is used to attain the ideal optimal condition (microwave power of 515 w, pH of 3.2, MWT of 3.1 min and SL ratio of 1:15 g/ml) to retrieve maximal yield of polysaccharide and attained optimal condition was experimentally validated. The experimental yield of polysaccharide (4.71 ± 0.02%) was matched with predicted value (4.72%). Physico-chemical properties of the polysaccharide extracted at optimal condition was investigated. Fourier Transform Infrared Spectroscopy (FTIR) evaluation were carried out in this study to characterize the polysaccharide. Scanning Electron Microscopy (SEM) was also utilized to reveal the morphology of raw and extracted plant sample.

Knowledge, Attitude and Practice towards Osteoporosis among General Practitioners Working in Al Majmaah Province, KSA

Background: Osteoporosis is the most common metabolic disorder affecting bone which develops because of normal ageing, excessive bone loss during adulthood and impaired development of peak bone mass. Awareness among physicians is vital for the early detection and timely treatment and hence fractures prevention. The present study was carried out to study the knowledge, attitude and practice towards osteoporosis among general practitioners working in Al Majmaah, KSA. Methodology: This crosssectional research was conducted among all the qualified family physicians, general practitioners and resident doctors in Majmaah province, KSA. Data collection was done based on a standardized KAP questionnaire. Results: All the data were entered and analysed according to the intentions of the present work. Good level of knowledge concerning the diagnosis was observed among the study subjects and a high proportion of respondents believed in the preventive strategies of the disease. Responses were obtained from total of43 practitioners who included 23.3% female, and 76.7% male in and around Majmaah province. Majority (72.1%) of the respondent’s attitude was that osteoporosis has major effect on the health of the community. In relation to practice aspects, prescription of 76.7% responders includes bisphosphonates as the most commonly used drug for treatment of osteoporosis. Conclusion: A considerable level of knowledge and positive attitude towards osteoporosis was found; however, practices for the prevention of osteoporosis still need improvement. There is a need to extend the medical knowledge of general practitioners in Al Majmaah Province, KSA, regarding the contemporary management of osteoporosis and its risk factors. Professional training programs are required to enhance the practitioner’s knowledge and attitude to improve their practices.

Work Intention as Mediator in the Relationship between Work Passion and Organizational Commitment among Teachers in Malaysia

Organizational commitment among employees is important to determine organizational effectiveness as employees with higher organizational commitment have higher motivation to stay with their organization. In recent years, previous studies have shown that the teachers’ organizational commitment are low and moderate. Therefore, this study focuses on the effect of work passion toward organizational commitment with work intention as the mediator. The objectives of this study was to determine the effect of work passion on work intention and organizational commitment among teachers and to determine the role of work intention as a mediator in the effect of work passion on organizational commitment among teachers. This study employed a cross-sectional survey involving 355 school teachers in Malaysia through multi-stage cluster sampling technique. Data were analyzed using descriptive analysis, while confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to determine the fitness of the model with the data. Findings showed that organizational commitment and work passion among school teachers were moderate, while work intention was at a higher level. SEM analysis showed that the model has a good fit with CMIN/df= 3.22, GFI = 0.95, CFI=0.97, TLI=0.95, RMSEA=0.08. In addition, job factors have a significant direct effect on work intention and organizational commitment. Results also showed that work intention mediated the relationship between work passion and organizational commitment. The results of this imply the importance of work passion and work intention in enhancing organizational commitment among teachers in Malaysia.

Enhancement of Heat Transfer Characteristics using Aerofoil Fin over Square and Circular Fins

The thermal conductivity of fin material, its geometrical profile and the mode of heat transfer etc, are the key factors which generally affects the heat transfer from fins. The present research deals with the improvement in heat transfer characteristics and the investigation of fin performance efficiency by using fins of varying geometrical profiles in pin fin apparatus. In this study the heat transfer characteristics inside a rectangular duct with circular, square and aerofoil geometrical profiles of fins were analyzed experimentally. The intention of the present work is to evaluate the heat transfer coefficient, Reynolds number, Nusselt number, pressure drop and efficiency of fin with circular, square and aerofoil geometrical profiles and all the results obtained will be compared with those from a circular fin of same material surface. In the present study, experimental results of the heat transfer characteristics of all the three geometrical profiles of fins under constant heat flux conditions are presented. Experiments are performed at various Reynolds numbers in the range of 1000–9000 and heat fluxes in the range of 0.91–3.64 kW/m2. The predicted results are validated by comparing with measured data. The predicted results are in reasonable agreement with the experiments. It is found that with increase in Reynolds number, the Nusselt number and thermal performance increases, for a fin having aerofoil profile as compared with a fin with square and circular profile. These are because of delayed separation of air and increase in contact time for a fin having aerofoil profile as compared with a fin with square and circular profile.

Developing a Customer Model for Targeted Marketing using Association Graph Mining

Data mining is the procedure to find out significant information from large database by applying several mining techniques. Finding out products that are purchased together is a major issue in basket market analysis. So, developing a customer model is important for targeted marketing. The traditional dataset is taken into account because the origin of information which is available from the history of sales repository. While applying the basic techniques on transactional data analysis, it fails when the process has a greater number of transactional information. Also, it is difficult to identify suitable correlation between one product to another. In this paper Market Basket Analysis is extended towards into network level and it recommends a product network consideration it clearly states that the correlation involving products bought together by customer. This research work focuses on product to product network analysis in market basket network. The direct and indirect approach is applied in associated product network from history of retailer data. The major intention of this research work is to find the group of essential products purchase by the customer together. So, it will bring out consumer profile, product blue print, guidance from associated products and provide effective result from large number of customer wholesale outline

Faktor Pendorong Wisatawan Malaysia Berkunjung ke Sumatera Barat

The background of this research is to identify the motivations factors which become the background the visiting of Malaysian to West Sumatera and to identify group/segmentation of tourist based on motivation in journey to West Sumatera. The research population is the tourist from Malaysia that visit West Sumatera. The sample in this research is international tourist, not the visitor working intention or diplomatic guest. From the result of the research it is found that the factors which stimulate the tourist motivation from Malaysia who visit West Sumatera are presitige, culture, medical treatment, natural view, leasure and fresh air. In fact, the dominan motivation in visiting West Sumatera are prestige and pride factor. Meanwhile, market segmentation based on tourist motivation that visit West Sumatera, which are : fresh air, The natural beauty and culture.

Immersive placement experiences promote rural intent in allied health students of urban and rural origin.

IntroductionPre-vocational placement experiences are known to considerably influence the career preferences of health graduates and are a key factor in growing the rural allied health workforce. This paper explores the rural placement experiences and future work intentions of students who attended a placement with the University of Newcastle Department of Rural Health.MethodsPart of a larger longitudinal mixed methods study of students’ placement experiences and subsequent career choices, this study explored students’ placement evaluations responses. Following each placement, students were invited to complete an online survey which asked about their placement experiences and future work intentions. Counts and proportion tests were performed for frequencies of quantitative variables. Wilcoxon signed rank tests were conducted on the paired pre- and post-rural intent scores to determine any perceived differences in intent before and after placement for students both with and without a rural background. Qualitative data from short answer questions were analyzed thematically guided by qualitative content analysis. Data were comparatively analyzed for students of a rural or urban background.ResultsFour hundred and forty end of placement surveys were completed by 275 students (response rate 69.8%). There was a positive shift in intention to work rurally for students of both rural and urban background post-placement, but this was only statistically significant in the group from an urban background (p≤0.001). From the qualitative analysis three themes emerged: immersed rural supported placement experience, immersed interaction in rural life with other students, and immersed interaction in the rural community. Students from both rural and urban backgrounds indicated similar benefits and challenges.ConclusionWhile the positive impact of rural placement experiences and rural background on future rural practice is well known, this study highlights the importance of positive supported placement experience for students from both rural and urban backgrounds.

Strength and micro-structural properties of self-compacting concrete incorporating copper slag

Copper manufacturing industry produces abundant quantity of copper slag as an industrial by-product. Its management and disposal poses a major challenge for the environment, thus an urgent need for its potential alternative is recommended. The intent of the current research work was to design self-compacting concrete mixes incorporating copper slag as fine aggregate replacement. Compressive strength, split tensile strength along with micro-structural analysis of SCC mixes were conducted for up to 90 days of curing. Linear Regression analysis was executed to correlate the fresh properties of SCC. Flowability and passing ability of SCC mixes enhanced as the content of copper slag increased, at constant water cement ratio and fixed quantity of superplasticiser. Compressive strength and split tensile strength increased as the content of copper slag escalated. SEM, EDS and XRD analysis confirmed the development of calcium silicate hydrate gel in concrete mixes with the progressing curing ages from 7 to 90 days. Analysis of variance (ANNOVA) was used to compare different SCC mixes at 7, 28 and 90 days of curing age. Post hoc Tukey HSB was used for multiple comparision between SCC mixes varying from 0% to 60%. Statistical analysis reported that 28-day and 90-day compressive strength was statistically significant while 7-day compressive strength was found out to statistically insignificant.