394 research outputs found

    Focus Factors: Exploring Cross-Cultural Business Dynamics Of Making Deals And Building Relationships In India

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    The world houses a grand spectrum of people and cultures constantly changing and renewing themselves. Some of these peoples are historic and rich with culture, while others are relatively new in history and evolving every day. These cultures are not self-reliant, nor are they self-communicating.  Spread out across every continent, the various cultures and countries of the world are morphing and forming relationships at a rate faster than ever before. As technology continues to flourish, markets and economies continue to become intertwined as well. Cultures and business practices are often vastly different. A serious effort from global business leadership needs to be placed on learning about culture as business deals are formed and negotiated. India is an Asian country containing both a rich history, as well as an extremely significant presence in the current global economy. By presenting a general overview of India, a progressive look at more focused concepts can then be explored. Concepts, such a global cross-cultural leadership, can be looked into as well as how cultures compare and contrast to the business behaviors within India. Furthermore, a broad overview of Geert Hofstede’s research on India is explored for reflection and application. One of the more important focus factors that will be displayed is how negotiation plays into inter-cultural business dealing with India. By focusing on cross-cultural leadership and behavioral dynamics of Indian culture, a greater chance of success in relationship-building and business partnership opportunities can be solidified

    Sustainable Growth and Ethics: a Study of Business Ethics in Vietnam Between Business Students and Working Adults

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    Sustainable growth is not only the ultimate goal of business corporations but also the primary target of local governments as well as regional and global economies. One of the cornerstones of sustainable growth is ethics. An ethical organizational culture provides support to achieve sustainable growth. Ethical leaders and employees have great potential for positive influence on decisions and behaviors that lead to sustainability. Ethical behavior, therefore, is expected of everyone in the modern workplace. As a result, companies devote many resources and training programs to make sure their employees live according to the high ethical standards. This study provides an analysis of Vietnamese business students’ level of ethical maturity based on gender, education, work experience, and ethics training. The results of data from 260 business students compared with 704 working adults in Vietnam demonstrate that students have a significantly higher level of ethical maturity. Furthermore, gender and work experience are significant factors in ethical maturity. While more educated respondents and those who had completed an ethics course did have a higher level of ethical maturity, the results were not statistically significant. Analysis of the results along with suggestions and implications are provided

    Re-recurrent Dermatofibrosarcomaprotuberans of the chest wall.

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    Dermatofibrosarcomaprotuberans is a rare, soft tissue tumour with high rate of recurrence. It is locally aggressive, with a low rate of metastasis. We describe the case of a 42 year old man who presented with a re-recurrent, large tumour situated on the anterior chest wall in the sternal region. We did a wide local excision and covered the resulting defect by using bilateral, pectoralis major myocutaneous flaps. Histopathology and immunohistochemical staining findings were consistent with the diagnosis of Dermatofibrosarcoma Protuberance. Post operatively the patient was treated with chemotherapy and radiotherapy

    Laboratory and field investigations in granular soils to correlate relative density, relative compaction and grain size

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    An attempt has been made to correlate relative density and relative compaction based on laboratory and field test data. In this investigation, 185 sandy soil samples were tested in the laboratory. The experimental investigations include classification tests, maximum and minimum density tests, and standard and modified Proctor and in-situ density tests. The values of the dry unit weight of these samples obtained by performing different tests fall between 14.7 kN/m(3) and 20.8 kN/m(3). Based on these results, linear and multivariate regression analyses were carried out to (a) relate relative compaction and relative density, (b) relate maximum (e(max)) and minimum void ratios (e(min)), and (c) express e(max) and e(min) in terms of median grain size (D-50) and uniformity coefficient (C-u). Experimental and predicted values varied +/- 5%, with a 95% confidence interval for the relation between relative compaction and relative density, and for other relations the variation was +/- 10%. The proposed equations were validated using a new data set which had not been used for the development of the correlations. Proposed equations were also compared with equations presented by various other researchers. Validation of the proposed equations suggests that these equations may be used for future prediction of the respective variables

    Pharmacy Apps: a new frontier on the digital landscape?

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    BACKGROUND: Over the course of recent years smartphone and tablet technology has evolved rapidly. Similarly, the sphere of healthcare is constantly developing and striving to embrace the newest forms of technology in order to optimise function. Many opportunities for mobile applications (i.e. 'apps') pertinent to the healthcare sector are now emerging. OBJECTIVE: This study will consider whether registered pharmacists within the United Kingdom (UK) believe it appropriate to use mobile apps during the provision of healthcare within the community setting. METHODS: Further to Liverpool John Moores University (LJMU) ethical approval, the 30 item questionnaire was distributed to UK registered pharmacists (n=600) practising within inner city Manchester, Liverpool and Newcastle. The questions were formatted as multiple choice, Likert scales or the open answer type. On questionnaire completion and return, data were analysed using simple frequencies, cross tabulations and non-parametric techniques in the Statistical Package for the Social Sciences (SPSS) (v18). RESULTS: The majority of respondents (78.4% of 211 participants) confirmed that they were confident when using mobile apps on their technology platform. In general, mobile apps were perceived to be useful in facilitating patient consultations (55%) and supporting healthcare education (80%). The main barrier for mobile app use within the workplace was company policy, deemed significant in the case of regional / national chain pharmacies (p<0.001). Pharmacists alluded to the fact that whilst mobile apps demonstrate potential in modern day practise, they will have a greater impact in the future (p<0.001). CONCLUSION: The data indicate that although pharmacists are supportive of mobile apps in healthcare, a number of factors (i.e. risk, company policy and lack of regulation) may preclude their use in modern day pharmacy practise. Clearly, limitations of the technology must be addressed in order to maximise uptake within healthcare systems. Pharmacists suggest that as the younger generation ages, mobile apps will become a more accepted method by which to manage healthcare in the wider population

    Countering Active Attacks on RAFT-based IoT Blockchain Networks

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    This paper considers an Internet of Thing (IoT) blockchain network consisting of a leader node and various follower nodes which together implement the RAFT consensus protocol to verify a blockchain transaction, as requested by a blockchain client. Further, two kinds of active attacks, i.e., jamming and impersonation, are considered on the IoT blockchain network due to the presence of multiple {\it active} malicious nodes in the close vicinity. When the IoT network is under the jamming attack, we utilize the stochastic geometry tool to derive the closed-form expressions for the coverage probabilities for both uplink and downlink IoT transmissions. On the other hand, when the IoT network is under the impersonation attack, we propose a novel method that enables a receive IoT node to exploit the pathloss of a transmit IoT node as its fingerprint to implement a binary hypothesis test for transmit node identification. To this end, we also provide the closed-form expressions for the probabilities of false alarm, missed detection and miss-classification. Finally, we present detailed simulation results that indicate the following: i) the coverage probability improves as the jammers' locations move away from the IoT network, ii) the three error probabilities decrease as a function of the link quality

    Attitude and awareness on importance of breastfeeding among childbearing women in a rapidly developing country

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    Background: Health authorities in United Arab Emirates passed a law giving all the mothers the right to breastfeed their children even during the working hours. The objective of this study is designed to explore the degree of awareness among mothers in childbearing period on breastfeeding importance and practices.Methods: A cross sectional explorative questionnaire-based survey included 400 mothers from multi health centres in 3 emirates of United Arab Emirates as follows: Abu Dhabi 100 samples, Dubai 100 samples and Sharjah 200 samples, who were in their childbearing period and had a minimum of one child during the study period between July 2016 and November 2016.Results: Total 54.5% of mothers were above 30 years of age. 48% were local and 52% were non-local. 80% were familiar with the advantages of breastfeeding. 84.8% believed that exclusive breastfeeding up to 6 months is important and 41% had breastfed their children exclusively. 76% had the skin-to-skin contact with their baby and 43.5% had started breastfeeding within the first hour after birth, of them, 10% had delivered by caesarean section.  82% were roaming in with their baby during hospital stay and 81% had practiced demand breastfeeding. 89.9% of mothers had received the support they needed for breastfeeding from hospital staff. 56% had not used pacifier during the hospital stay and 56% had used bottle-feeding. 55% of mothers were employed, 72% of them had the intention to continue exclusive breastfeeding for a minimum of 6-month period.Conclusions: Attitude and awareness on breastfeeding are encouraging. Educational efforts, workshops and public awareness should be enhanced and maximized

    Non-Contact Monitoring of Dehydration using RF Data Collected off the Chest and the Hand

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    We report a novel non-contact method for dehydration monitoring. We utilize a transmit software defined radio (SDR) that impinges a wideband radio frequency (RF) signal (of frequency 5.23 GHz) onto either the chest or the hand of a subject who sits nearby. Further, another SDR in the closed vicinity collects the RF signals reflected off the chest (or passed through the hand) of the subject. Note that the two SDRs exchange orthogonal frequency division multiplexing (OFDM) signal, whose individual subcarriers get modulated once it reflects off (passes through) the chest (the hand) of the subject. This way, the signal collected by the receive SDR consists of channel frequency response (CFR) that captures the variation in the blood osmolality due to dehydration. The received raw CFR data is then passed through a handful of machine learning (ML) classifiers which once trained, output the classification result (i.e., whether a subject is hydrated or dehydrated). For the purpose of training our ML classifiers, we have constructed our custom HCDDM-RF-5 dataset by collecting data from 5 Muslim subjects (before and after sunset) who were fasting during the month of Ramadan. Specifically, we have implemented and tested the following ML classifiers (and their variants): K-nearest neighbour (KNN), support vector machine (SVM), decision tree (DT), ensemble classifier, and neural network classifier. Among all the classifiers, the neural network classifier acheived the best classification accuracy, i.e., an accuracy of 93.8% for the proposed CBDM method, and an accuracy of 96.15% for the proposed HBDM method. Compared to prior work where the reported accuracy is 97.83%, our proposed non-contact method is slightly inferior (as we report a maximum accuracy of 96.15%); nevertheless, the advantages of our non-contact dehydration method speak for themselves.Comment: 8 pages, 9 figures, 2 table
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