In the era of globalization the markets and opportunities for more growth and revenues have increased. Today, teams and organizations face rapid change like never before. Organization required changing their current strategy or adopting the latest technology for better output and making an edge over their competitors. But due to implementation of new technology or strategy; there are some employees in the organization who react on the implementation; they won’t be happy over the change. This paper explain if any organization wants to include any new technology in their daily work then there will be a big fix of understanding the core method coping with it. Employee will get confuse how to cope up that technology, it might be a machine newly included in the factory. The main objective of this paper is to find out the reaction after implementing new technology in Ready Made Garments (RMG) factory. If we put as an example then RMG sector is the best suited for this. In this sector managements always try to adopt a change in their technologies.

Today, the aged people are rapidly increasing and the number of children is decreasing in Japan. This social problem causes the demand of the care and welfare equipments to support a nursing and a self-reliance for the senior. For example, a power assist device for reducing the burden of the user has been researched and developed. The purpose of this study is to develop a small and light-weight pneumatic control valve and to apply it to the care and welfare equipments. In our previous study, the small-sized quasi-servo valve using two inexpensive on/off valves was developed and tested. The pressure control type quasi-servo valve was also proposed and tested by using the quasi-servo valve, a pressure sensor and an embedded controller. In this paper, the pressure control type quasi-servo valve is applied to a force control of the pneumatic cylinder, and its control performance is investigated.

This paper investigates the role of IT governance and business-IT alignment in company divestment. Divestments are described as strategy’s missing link. Divestment is commonly an affirmation of dynamic volatile internal or external business landscapes and the aspiration is consistently to bolster and underline the company’s efficacy and performance. Divestiture will oblige enactment of the company business strategy and it thus includes a strategic proportion. Divestment can be a pertinent and lucrative strategy. The successful accomplishment of a divestiture is generally calculated by the dimension of accomplishment in realizing the elemental strategic goal that the company set out to achieve when adopting a divestment strategy. The paper will also highlight the relevance of Information Technology (IT) in a divestment strategy by discussing the habits of an effective IT governance model and the business-IT alignment levels and approaches to support the company’s strategy and goals, even if it is a divestment strategy.

Easy availability of remote sensing dataset increases its importance and use by multiple folds, especially in areas of rough and difficult terrain like snow bound mountains. But at the same chances of misinterpretations will also be increased in the same proportion, when dealing with high altitude mountains in remote sensing. Seasonal variation within single year time framework and temporal changes in long time are more important to understand separately. Verification of the imagery selection, operations and findings is the key of analysis. This paper focused upon misinterpretation often occurs in the geospatial domain by shifting the focus, when observations transforming to information. A negligible error in selection of imagery, operation or perception make it possible to misinterpret the findings. In this study we are try to withdrawing kind attention of users toward small-small negligence, that cost a lot. In this study we take area under Nanda Devi national Park as an example to highlight such errors. As we observed a clearly change in vegetation cover as well as in snow cover on direct compression of satellite images from two different time frame in first operation. While in reality the change in snow cover is just because of seasonal snow fall is only become known after second operation. Such kind of misinterpretations are often in studies using geo-spatial technologies and remote sensing. Therefore, it must be required to validates and examine observations every time whenever reporting, our findings. And also requires to understanding about concepts properly prier interpret results and observation of any findings. Article like this useful to manager’s researcher and other remote sensing users in assessment, clarification and validations of their findings.

With growing digitalization and enhancement of IT infrastructure, the youngsters are utilizing the power of internet to buy things online. As the acceptance of online shopping is rising among Indian consumers, the competition is also increasing in E-Commerce space. As many ecommerce websites are in the field, they all are studying the attributes which influence’s customers for online shopping. This paper highlights the attributes which leads to online shopping attractiveness in young generation in India. The review of literature identified sixteen important attributes which can be converged into the following four main dimensions that can be named as determinants of online shopping attractiveness: (a) Ease of Transaction (b) Website Image (c) Product Information (d) Website Security. This study is relevant to academician, researchers and industry people who works in the field of E-Commerce.

In the maintenance of diesel engines, wear parts and lubricant analysis are used to predict possible worst condition of equipments, which may lead to premature failures. Content of micro element in the crank case oil can be used to find the worst condition of the equipment. Periodical lubricant analysis can reveal the microelements in the crank case oil. Copper, Iron, Chromium, Lead, Aluminum and Silicon are the micro metallic particles normally come to the oil from wear and tear of engine. Among these micro elements Silicon and Soot play vital role in wear and tear of the engine. Four engines are used for this study. Two brand new 12 Cylinder, V-Type CATERPILLAR Engines of 5AG 2301–3412 DITA model– coupled with 500 KVA power generator sets, parallel operated engines based on power demand. SAE 15W40 (Unique oil) CAT Fluid CI 4 has been used. It was operated from 05 hrs to 1200 hour meter reading@ 80% variable load condition. Another two sets of old 3406 C DITA & 3306 B DITA Cat Engine with CAT DEO 15W40 oil has also been used for this analysis. In this study, how both silicon and soot materials accelerate the wear and tear is analyzed.

This study describes undergraduate casual-leisure information behaviors relevant to online videos. Diaries and in-depth interviews were used to collect data. Twenty-four undergraduates participated in this study (9 men, 15 women; all were aged 18–22 years). This study proposes a model of casual-leisure information behaviors and contributes new insights into user experience in casual-leisure settings, such as online video programs, with implications for other information domains.

Cardiovascular comorbidities are most frequent comorbidities in COPD and are responsible for many deaths in those patients. The aim of the study was to investigate the prevalence and the risk factors of these comorbidities. In the survey 114COPD patients were included with severe and very severe stage of the disease, FEV1<50%, which were stable. Cardiovascular comorbidity was detected in 92 (80.7%) respondents, 61.9 % with severe and 38.1 % with very severe COPD. Blood sugar (p=0.023*), CRP (p=0.00007**), CAT score (p<0.0006**) and number of exacerbations (p<0.0001) were significantly higher in patients with cardiovascular comorbidity. We can conclude that cardiovascular comorbidities are frequent in COPD patients with severe and very severe stage. They have a great impact in this patients.

Background: Iron supplementations to the pregnant women in Iraq mostly considered as obligatory routine health care additive treatment without real assessing to the iron status in these people, therefore the acceptable range of iron must be estimated and the relationship between iron status and miscarriage should be explored. Objective: In miscarriage and pregnant women that supplemented with iron tablets the levels of oxidative stress should be assessed and compared to the iron status to show the type and the strength of correlation between them. Patients and methods: 96 pregnant women were participate in this study and categorized into. First group: Pregnant iron supplemented group (PIS group) includes 35 pregnant women (36.46%) during their 1st trimester or middle of 2nd trimester of pregnancy (18-36 year) and they were received an oral iron supplementation as 250 mg of ferrous gluconate tablet, three times a day. Second group: Pregnant iron non– supplemented group (PINS group) includes 31 pregnant women (32.29%) during their 1st trimester or middle of 2nd trimester of pregnancy (19-37 year) and they were non supplemented with iron and they considered as control group. Third group: Miscarriage iron supplemented group (MIS group) includes 30 miscarriage pregnant women(31.3%) during their 1st trimester or middle of 2nd trimester (19-40 year) taken an oral iron supplementation as 250 mg of ferrous gluconate tablet, three times a day. Results: The study at first assess the iron status by measuring Hb, serum ferritin and serum iron in the three groups of women and shows that there is a significant differences p< 0.005 between oxidative stress parameters of the miscarriage women and the pregnant women that taken oral supplements of iron tablets. The MDA and PC were higher in miscarriage in comparison to pregnant. The decrement in GSH level in miscarriage was also significant (P value< 0.025). The correlations between serum iron concentration and oxidative stress para

This study aims to determine the best practices and provide a model of the technical solutions that can effectively and systematically limit fraudulent transactions of online orders in e-commerce services, using the methods of analytical mining and case studies. Based on a process of fraud prevention and detection performed in the e-business Dangdang, Inc., a leading online retailer in China, twelve identifying features of fraudulent order data were extracted and compiled into a feature matrix. Logistic regression with this matrix was then used to build a model to judge if an order was fraudulent. The model was tested using various order data with machine learning techniques to meet the requirements of being effective, correct, adaptive, and persistent. Then an online detection and prevention schema was established and the hypothesis of so-called Behavior Pattern Change Assumption (BPCA) was proven. The results show the model can detect 94% of fraudulent orders. The Anti-fraud Schema System established for Dangdang is shown to be the best model for the determination and prevention of fraudulent behaviors in the e-commerce services.