For the last 20 years, the Internet has become one of the most used ways to get information, including healthcare. Healthcare marketing can be a potential driving force for the digital population to use the Internet to surf regarding healthcare information. This paper talks about factors influencing the Internet on Healthcare marketing perceived advantages and disadvantages of its use it.

The purpose of this study was to explore the differences and relationships of teachers' ICT knowledge by school location, work experience, and to explore the relationship between teachers' attitudes and skills in using ICT.This study report states that there is a significant difference between the knowledge of science teachers who teach in cities and science teachers in villages. In addition, there is a significant difference in the knowledge of science teachers about ICT based on work experience. There is also a strong relationship between the attitudes and skills of science teachers in utilizing ICT during the learning process. There is a strong relationship between the attitude of science teachers with ICT skills and attitudes of science teachers on the use of ICT. The attitude of science teachers to use ICT has a weak and positive correlation with the skills of teachers to use ICT in the science learning process. The implication of this research is that computer hardware, internet access, and training facilities can increase teachers' knowledge of ICT, especially experienced teachers.

With the Internet of Effects (IoT) gradationally evolving as the posterior phase of the elaboration of the Internet, it becomes pivotal to fete the colorful implicit disciplines for operation of IoT, and the exploration challenges that are associated with these operations. Ranging from smart metropolises, to health care, smart husbandry, logistics and retail, to indeed hurt living and smart surroundings IoT is anticipated to insinuate into nearly all aspects of diurnal life. Indeed though the current IoT enabling technologies have greatly bettered in the recent times, there are still multitudinous problems that bear attention. Since the IoT conception ensues from miscellaneous technologies, numerous exploration challenges are bound to arise. The fact that IoT is so extensive and affects virtually all areas of our lives, makes it a significant exploration content for studies in colorful affiliated fields similar as information technology and computer wisdom. Therefore, IoT is paving the way for new confines of exploration to be carried out. This paper presents the recent development of IoT technologies and discusses unborn operations and exploration challenges.

 Keywords — Internet of Effects; IoT operations; IoT challenges; unborn technologies; smart metropolises; smart terrain; smart husbandry; smart living

The aim of this present resaerch work is to develope and identify what are the relevant key indicators which guide the implementation of mixed-income housing development and to find a way to compare two indicators:  intergovernmental support and collaboration and Town Planning regulation policy.  Sample size of 200 were selected randomly out of a total population of 300 residents interviewed in a mixed-income residential neighbourhood at Cosmo City, Johannesburg.  The data was Analysed using a statistical methods of confirmatory factor analysis and structural equation model. The research questions is on Whether Town Planning Policies and Regulation impact positively or negatively on the development of Mixed-income housing projects and if there is any correlation between Town Planning Approval and Policies and Inter-governmental collaboration in the development of a mixed-income housing framework?  Results of the findings are as follows:(1) The construct fitted the empirical data as mixed-income housing development framework is guided by six dimensions or indicators. (2) The study also show the relevance of townplanning approval and policy in a given mixed-income housing development as it helps to maintain  and conserve the neighbourhood. The conclusion and recommendation drawn from this study is that both intergovernmental support and collaboration as well as Town Planning regualtions both play very important role in the location of mixed-income housing development in South Africa and other developing economies.

Keywords: confirmatory factor analysis, structural equation model, mixed-income housing, Town Planning regulations and intergovenmental collaborations.

Recently drones have emerged as a great new tool that many companies and even personal entities have decided to exploit. Looking at the potential these new drones have it would be in everyone’s best interest to use these drones or Unmanned Air Vehicles to their fullest potential. One way to help achieve that is by mounting cameras onto these drones and using the data captured by the video feed received from these cameras. This project is using machine learning and computer vision to help make use of the data captured by these drones. A RetinaNet model is used to train various models on images captured from the Stanford campus. The model is detecting various classes of urban artifacts such as pedestrians and cyclists.

Dengue fever, dengue hemorrhagic fever and dengue stroke syndrome are caused by dengue virus (DENV) belonging to the family Flaviviridae and spread through Aedes mosquitoes. Incessant mutation resulting from the proofreading inefficiency of their RNA polymerases under increasing air temperature and CO2 concentration make it thorny to diagnose or strengthening immune system against DENV. The vector competence of Aedes is influenced by diurnal temperature range (DTR). Under these circumstances predicting the genotype of the imminent DENV and vector competence in advance is momentous for vaccine development and vector surveillance. In order to make it efficient, this research aims in designing mobile app ‘DENV SHIELD’ which uses a novel In Vitro Replication Model (IVRM) to predict the nucleotide sequence of imminent genotype of DENV in prior. This app also makes real time prediction of the Vector Competence (VC) based on prediction of DTR corresponding to the region of the user using an Adaptive Network-Based Fuzzy Inference System (ANFIS) model. A self aware artificial intelligence model (SA-AIM) is used for forecasting air temperature and CO2 in advance. DTR is predicted using random forest algorithm which uses ARIMA time series prediction model for getting forecast of wind velocity and solar radiation. Training data are collected from National Center for Biotechnology Information, Centre for Diseases Control and Prevention and National Climate Data Center. The outcome of this research is an early warning system app which will help diagnostic centers and health workers to know genotype of forthcoming variant of virus and vector competence.

This research focuses on studying about the differences of science’ teachers proficiency on ICT’s utilizing for learning process based on schools location and teachers’ education. Finding out the contribution of knowledge, attitude, and ICT’s skills toward ICT utilizing on science learning process. The study shows, there are significant differences between high school science’ teachers in urban and rural areas (t=-5,094, p=0.00). Furthermore, there are notable dissimilar finding between under graduated science’ teachers and postgraduated science’ teachers (t=-3,617, p=0.00). 4 (four) independent variables have major roles to the skills of science teachers’ on  ICT utilizing for  learning process, which is 43.0 percents. Teachers’ attitude toward ICT contributes the highest roles (35, 3 percents), these are followed by teachers’ attitude on ICT utilizing (3, 4 percents), teachers’ knowledge on ICT utilizing (2,3 percents), and ICT facilities (2,0 percents).

We utilize web 2.0 in today's atmosphere to access and update information on the internet. In today's society, we use websites and web applications to do jobs more quickly. Web development has introduced new opportunities as well as new obstacles to web-based education and learning. The first version of the web, Web 1.0, was a static (read-only) medium, whereas Web 2.0 is a Read/Write medium. Web 3.0, the most current and still-evolving version of the web, is now a technologically advanced medium that allows us (users) to read, write, and execute, as well as robots to conduct some of the intellectual thinking once reserved for humans.