Impact of Development of Technology on Education: Key Micro and Macro Economies of Australia

The purpose of this paper was to discuss and examine the impact of development of technology on education in key micro and macro economies of Australia. Research for this paper included application of micro and macro economics concepts, presentation of facts that are collected from different sources as well as deeper analysis of the changes in micro and macro economies of Australia caused by technological changes in education supported by a range of other scholarly articles. The paper provides advantages and disadvantages of development of technology on education as well as impact of technology on education in key micro and macro economies of Australia. Based on the analysis, the education industry in general is benefitted by development of technology caused by increasing access to information and flexible study schedule through e-learning. The paper then moved into micro and macro analysis of the impact technology has on education.  The key factors in micro economics that were discussed are long run demand and supply, labour demand and supply, resistance to change and effect on universities and the environment. In macro economics, the key factors that were discussed are increased access to education in the country, decrease in structural unemployment rate, decreased demand for Australian academics, increased level of global competition and decrease in GDP as well as increase in information asymmetry. The paper provides detailed analysis on the impact of technological development on key micro and macro economies. In general, this paper suggests that as the inevitable development of technology in education will have both positive and negative effects on Australian economies, the key challenge is in managing the development by minimising its negative impacts and nourishing the positive impact

Ordered semigroups characterized by (ϵ ϵ vqk)-fuzzy generalized bi-ideals

In this paper, we introduce a considerable machinery that permits us to characterize a number of special (fuzzy) subsets in ordered semigroups. In this regard, we generalize (Davvaz and Khan in Inform Sci 181:1759-1770 2011) and define (is an element of, is an element of boolean (ϵ ϵ vqk)-fuzzy generalized bi-ideals in ordered semigroups, which is a generalization of the concept of an (alpha, beta)-fuzzy generalized bi-ideal in an ordered semi-group. We also define (is an element of, is an element of boolean (ϵ ϵ vqk)-fuzzy left (resp. right)ideals. Using these concept, some characterization theorems of regular, left (resp. right) regular, completely regular and weakly regular ordered semigroups are provided. The upper/lower parts of an (is an element of, is an element of boolean (ϵ ϵ vqk)-fuzzy generalized bi-ideal and (is an element of, is an element of boolean (ϵ ϵ vqk)-fuzzy left (resp. right)-ideal are given, and some characterizations are provided

Impact of Big Data over Telecom Industry

During past few years, data is growing exponentially attracting researchers to work a popular term, the Big Data. Big Data is observed in various fields, such as information technology, telecommunication, theoretical computing, mathematics, data mining and data warehousing. Data science is frequently referred with Big Data as it uses methods to scale down the Big Data. Currentlymore than 3.2 billion of the world population is connected to internet out of which 46% are connected via smart phones. Over 5.5 billion people are using cell phones. As technology is rapidly shifting from ordinary cell phones towards smart phones, therefore proportion of using internet is also growing. Thereis a forecast that by 2020 around 7 billion people at the globe will be using internet out of which 52% will be using their smart phones to connect. In year 2050 that figure will be touching 95% of world population. Every device connect to internet generates data. As majority of the devices are using smart phones togenerate this data by using applications such as Instagram, WhatsApp, Apple, Google, Google+, Twitter, Flickr etc., therefore this huge amount of data is becoming a big threat for telecom sector. This paper is giving a comparison of amount of Big Data generated by telecom industry. Based on the collected datawe use forecasting tools to predict the amount of Big Data will be generated in future and also identify threats that telecom industry will be facing from that huge amount of Big Data

Exploring the Implications of Emotional Intelligence to Enhance Employees’ Performance

Emotional intelligence (EI) is an effective tool to increase organizational productivity. This study depicts the impact of EI on employees’ performance who are engaged with customer services by using four elements i.e. self awareness, self management, social awareness and relationship management. A sample of 120 respondents was selected from four paint manufacturing companies in Pakistan. The primary data was collected through the structured questionnaire and simple regression method was used to investigate the relationship between employee’s performance and emotional intelligence. The results illustrate that EI has positive impact on employee’s performance. It is suggested that the implication of EI be ensured as contemporary need of customer services in paint industries so that organization productivity may be enhanced with efficient employees’ performance.&nbsp

A new classification of hemirings through double-framed soft h-ideals

Due to lack of parameterization, various ordinary uncertainty theories like theory of fuzzy sets, and theory of probability cannot solve complicated problems of economics and engineering involving uncertainties. The aim of the present paper was to provide an appropriate mathematical tool for solving such type of complicated problems. For the said purpose, the notion of double-framed soft sets in hemirings is introduced. As h-ideals of hemirings play a central role in the structural theory, therefore, we developed a new type of subsystem of hemirings. Double-framed soft left (right) h-ideal, double-framed soft h-bi-ideals and double-framed soft h-quasi-ideals of hemiring are determined. These concepts are elaborated through suitable examples. Furthermore, we are bridging ordinary h-ideals and double-framed soft h-ideals of hemirings through double-framed soft including sets and characteristic double-framed soft functions. It is also shown that every double-framed soft h-quasi-ideal is double-framed soft h-bi-ideal but the converse inclusion does not hold. A well-known class of hemrings i.e. h-hemiregular hemirings is characterized by the properties of these newly developed double-framed soft h-ideals o

Perioperative glycemic control and its outcome in patients following open heart surgery

Background: Diabetes is not uncommon in patients requiring cardiac surgery. These patients have a higher incidence of morbidity and mortality. Subsequently, diabetes represents a major medico-economic problem in both developed and developing countries. This study was designed to observe the association between glycemic control and outcome of patients after open heart surgery in adult population.Materials and methods: Data was collected retrospectively in all patients who underwent open cardiac surgery (coronary artery bypass grafting, valve, or bypass grafting with valve surgery) and survived 72 hours postoperatively and had diabetes. The study was conducted from January 2015 to December 2016.Results: Of the 129 patients included in the study, male dominated 101 (78.3%). Most frequent surgery was coronary artery bypass grafting (CABG) 123 (95.3%), CABG plus aortic valve replacement 4 (3.1%), and CABG plus mitral valve replacement 2 (1.6%). Considering diabetes, only 3 (2.3%) were on diet control, 112 (86.8%) on oral hypoglycemic agents (OHA), whereas 9 (7%) had control on both insulin and OHA. Only 5 (3.9%) had type I diabetes. The mean fasting blood sugar (FBS) was 154.58 g/dl, and the mean duration of diabetic mellitus was observed 12.32 years. Microvascular and macrovascular complications were 26/129 (20.16%) and 17/129 (13.17%), respectively. Total 75 (58.1%) patients did not require insulin and 54 (41.9%) were treated with insulin intraoperatively to keep the blood glucose level less than 200 g/dl. Cardiac arrhythmias were frequent in the insulin group (P \u3c 0.05), which was also associated with increased stay in the cardiac intensive care unit.Conclusion: Inadequate glycemic control during open cardiac surgery can possibly lead to increased perioperative morbidity and mortality and with decreased long-term survival and recurrent ischemic events. Therefore, aiming for blood glucose levels around 140 mg/dl appears reasonable. Further studies are required to define specific glucose ranges for a clearer definition of recommended blood glucose goals in postoperative cardiac patients for the best outcomes in patients with diabetes mellitus

Customer churn prediction using composite deep learning technique

Customer churn, a phenomenon that causes large financial losses when customers leave a business, makes it difficult for modern organizations to retain customers. When dissatisfied customers find their present company\u27s services inadequate, they frequently migrate to another service provider. Machine learning and deep learning (ML/DL) approaches have already been used to successfully identify customer churn. In some circumstances, however, ML/DL-based algorithms lacks in delivering promising results for detecting client churn. Previous research on estimating customer churn revealed unexpected forecasts when utilizing machine learning classifiers and traditional feature encoding methodologies. Deep neural networks were also used in these efforts to extract features without taking into account the sequence information. In view of these issues, the current study provides an effective method for predicting customer churn based on a hybrid deep learning model termed BiLSTM-CNN. The goal is to effectively estimate customer churn using benchmark data and increase the churn prediction process\u27s accuracy. The experimental results show that when trained, tested, and validated on the benchmark dataset, the proposed BiLSTM-CNN model attained a remarkable accuracy of 81%

Bi-ideals of ordered semigroups based on the interval-valued fuzzy point

Interval-valued fuzzy set theory (advanced generalization of Zadeh’s fuzzy sets) is a more generalized theory that can deal with real world problems more precisely than ordinary fuzzy set theory. In this paper, we introduce the notion of generalized quasi-coincident with (q(Formula Presented)) relation of an interval-valued fuzzy point with an interval-valued fuzzy set. In fact, this new concept is a more generalized form of quasi-coincident with relation of an interval-valued fuzzy point with an interval-valued fuzzy set. Applying this newly defined idea, the notion of an interval-valued (∈,∈vq(Formula Presented)) -fuzzy bi-ideal is introduced. Moreover, some characterizations of interval-valued (∈,∈vq(Formula Presented)) -fuzzy bi-ideals are described. It is shown that an interval-valued (∈,∈vq(Formula Presented)) -fuzzy bi-ideal is an interval-valued fuzzy bi-ideal by imposing a condition on interval-valued fuzzy subset. Finally, the concept of implication-based interval-valued fuzzy bi-ideals, characterizations of an interval-valued fuzzy bi-ideal and an interval-valued (∈,∈vq(Formula Presented)) - fuzzy bi-ideal are considered

Implantable port devices in paediatric oncology patients: A clinical experience from a tertiary care hospital

Objective: To assess the frequency of infection of portacath in children having malignant tumours and undergoing chemotherapy, and to assess the association of the infection with already known risk factors.Methods: The retrospective review was conducted at Aga Khan University Hospital, Karachi, and involved patient data related to the period between January 2005 to December 2010. A questionnaire was designed to collect the required data. A total of 67 children were included having portacath inserted for chemotherapy. Children in which portacath was inserted under local anaesthesia in Radiology department, reinserted or inserted because of a reason other than childhood malignancy were excluded. SPSS 19 was used for statistical analysis.Results: Of the total, 46 (67%) patients were males and a majority of the total (n = 31; 46%) was between 6-10 years of age. Besides, 42 (63%) patients had leukaemia, 7 (11%) had lymphoma and 18 (26%) had various solid tumours. Six (8.95%) ports were removed due to infection. There was significant difference between infection and non-infection groups with respect to absolute neutrophilic count levels (p \u3c 0.001). Positive association was found between low absoulute neutrophilic count level (\u3c or = 500) and the occurrence of port infection.Conclusions: Port infection rate is higher in children with low absoulute neutrophilic count. The issue needs to be addressed and one may have to alter the timings of port insertion. It is recommended to insert port when absolute neutrophilic count is normal. To further evaluate the subject, a multicentre trial must be conducted