Population Decline Initiated The City s Fiscal Stress

Detroit, MI. Background Population decline initiated the city’s fiscal stress. Once being the largest city in the U.S., Detroit’s population declined from 1.85 million during 1950 to 714,000 in 2010 (Stone et al. 2015, p.91). Similar to the case of D.C., this population decrease is a result of suburbanization. Population decrease resulted in reduced property values and a decline in property tax revenues (Stone et. al. 2015). Parallel to population loss, declining unemployment as a result in crisis in the manufacturing sector also took place. Consequently, the decrease in employment resulted in consistent decline in the city’s income tax receipts, causing revenues to fall approximately by 54 percent (Stone et al.2015). Additionally, the†¦show more content†¦In its recent history, the FCB was not received well by Detroit voters, particularly African-Americans (Presbey 2015). Currently, the majority of Detroit citizens are African Americans and they live in an area rule d by an emergency manager that they did not elect democratically (Presbey 2015). In the 2012 election, Michigan citizens repealed the Emergency Manager Law, in which â€Å"fifty-two percent of the state’s residents, including eighty-two percent of Detroit voters, voted to take away de governor’s right to impose an emergency manager† (Presbey 2015, p.262). However, soon after the repeal the governor drafted a new emergency manager law known as Public Act 425, which could not be repealed because it is tied to the budget. In response to the FCB, different resistance groups have emerged. For example, the Boggs Center to Nurture Community serves as a reaction to the crisis. The group aims to offer comfort to the citizens through a â€Å"revolution of thinking, values and living† (Presby 2015, p. 271). Moreover, recent trouble over Water has caused uproar in the city. Without citizen consent, the FCB shut down water to about 18,000 during the summer of 2014 (Pr esby 2015) and â€Å"households were shut off for due bills as little as $150, and they were often not given clear notice or warning of shutoff procedures† (Presby 2015, p.271). Such actions caused activists fighting against this FCB measure with theShow MoreRelatedSchool Of Social Work At Stephen F. Austin State University At Burke Center5170 Words   |  21 Pagesstaff and resources to serve more people requiring mental health services. 2. Increase Telemedicine: Upgrading tools and adding telemedicine to new sites in Jasper, Woodville, and Trinity. 3. Primary Care Integration: Partnering with the Angelina Cities/County Health District to generate a primary care clinic in the Lufkin facility to offer needed medical treatment for those they serve. 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Drawbacks Podcasting Free Essays

Podcasts and webcasts are easy ways to present and distribute information to listeners all around the globe. However there are several drawbacks to this form of media. The drawbacks can be divided into two sections. We will write a custom essay sample on Drawbacks Podcasting or any similar topic only for you Order Now The first section can be directed towards the process of recording and producing the webcasts. In order to record a webcast you must have: recording equipment, a quiet room, and time. The second section is focused on the persons listening to the webcast. The webcast is strictly auditory and must be accessed on some media device. This can become a problem because some listeners need more than just audio they need other forms of material to help them retain the information. Also because webcasts must be viewed through a mp3 player or computer this can cause a distraction because of the temptation of using the device for something else. Recording and producing is the most difficult area of any webcast. To record a quality webcast that listeners will enjoy and respond to the producer must execute the following three steps: the correct recording equipment, a quiet recording area, and an abundance of time to prepare for recording. The equipment required is very important because it will greatly increase the effectiveness of the webcast. The equipment needed is a microphone, recording software, host website and high-speed internet connection. Without purchasing all of the necessary components it will be impossible to record a quality webcast. The next drawback is the necessity of silence when recording. This can be a setback because any exterior noise in the webcast can cause listeners to become distracted and not retain the information being given. The need for a quiet proper recording area could cause additional investments to be made to reserve a recording studio or alternate recording site. The last drawback to webcasting is the amount of time needed to write a script for the topic chosen. It can take several weeks of preparation to research the topic and begin to process the information to write it into script form. The information given must be presented well to the audience so that it will be easy to follow along and process the information clearly. The drawbacks of the second section are mostly focused on the persons listening to the webcasts. The webcast is only broadcasted in audio form and requires the use of an mp3 player or computer. The limitations of webcasting can affect the listeners ability to comprehend and retain the information given. Not everyone can effectively listen and learn from strictly an auditory source of information. Certain people learn more effectively through hands on activities or visually or from reading the material. Because of this webcasting may not be the best medium for sending important information for others to comprehend. Also a webcast must listened to on either an mp3 player or a computer. These devices can become a distraction to some users. These electronic devices may tempt the listener to go off task and begin listening or viewing other material. This would cause the webcast to not fully be comprehended and some valuable information to be unheard. All in all webcasting is the future of efficient business practices but it is not yet perfected. With the correct managing of these drawbacks given, businesses could begin to cut costs and use time more efficiently. How to cite Drawbacks Podcasting, Papers

Computer and Communication Engineering Technology †Free Samples

Question: Discuss about the Computer and Communication Engineering Technology. Answer: Introduction Mobile Cloud Computing is a modern trend in the market. The use of the mobile phones in the market has been increased these days. The use of the cloud computing in the mobile phones has increased the flexibility in the cloud services to the users. The user can access the cloud services easily with the help of their mobile. This assignment deals with the use of the mobile cloud computing in various fields. There are ten journals and articles are taken for analyzing the applications of the mobile cloud computing. This report outlines the concept of the mobile cloud computing from using various journals and articles on the topic. These analyses of the journals help in understanding the importance of the mobile cloud computing in the market. Process of the Work Development of the cloudlet based mobile cloud computing system for the treatment of the patients using healthcare applications has been focused. Smart phone applications and the mobile cloud computing would be integrated (Kollorz et al.,). The Smart phone applications for treatment of the patients would be implied for forming the Wireless connectivity and network for forming the sufficient deployment of the processes. The goal of this paper is to develop a different learning approach for the learners to develop adaptive learning technique, for the dyslexic students. The system will be able to serve opportunities to the learners (Simpson). With the help of mobile learning, the learners will be able to learn from their place and they need not to go to the education center on a daily basis. Server could be accessed by the users whenever needed. It could serve virtual private server to the users (Hossain, 2017). After understanding the application properly, the users will be able to go through online Communication. The automation system could be able to provide accurate and necessary components to the authors. This important application can minimize the system level errors. Kuila et al., (2016) commented that sensor nodes and monitoring approaches could be detected. The security system can ensure and develop a secured relationship between the server and the client. The system will be able to provide a lower cost and lower power system for the consumers (Alizadeh et al., 2016).The solution will be able to deliver a secured cloud based server to the consumers. The roles of smart healthcare services are done properly and the heterogeneous system has done V migration problems. The machines and equipment would be required for the treatment of the patients and it would help in integrating the treatment with the wireless connectivity (Zhu et al., 2016). However, some issues are physical presence is required, network error would cause the disruption of the process, and issues would cause disruption in the treatment and monitoring of the patients. Development of the cloudlet based mobile cloud computing system for the treatment of the patients using healthcare applications. Smart phone applications for treatment of the patients (Islam et al., 2017). Smart phone applications and the mobile cloud computing would be integrated over the Mobile cloud computing using network structure and it would form the treatment of the patients. The Smart phone applications for treatment of the patients would be implied for forming the Wireless connectivity and network for forming the sufficient deployment of the processes (Liang, 2016). Feature of the solution This research paper has successfully provided appropriate model to the users so that they could efficiently learn from the online community (Lo'ai et al., 2016). They do not have to consider any other media for communication. With the massive increment in the mobile technology, the role of mobile application is increasing rapidly in the education system for both the normal and disable students. Goal to evaluate the role. Four of the variables are completely interrelated to each other and none of the components could be implemented singly without the help of the others (Benmarrakchi et al., 2016) Considering the advanced technology named as mobile technology, the disable learners will be able to learn a lot from the mobile environment. After successful completion of the study with the help of mobile computing an advanced learning approach could be developed with the portal cloud server (Alghabban, Salama Altalhi, 2016). The learners could access the server on the desired time to learn something new every day. Not only this but also the learners need not to visit the educational institutes for such learning approach. The authors collected data from books and journals and developed survey questions to understand the issues or challenges of traditional learning so that they could develop the advanced (van Deursen, Ben Allouch Ruijter, 2016). Mobile based learning approaches for the disable students. Hyperactivity disorder for attention deficit is a misbalanced situation for the learning environment. In order to mitigate the issue, it is necessary to utilize certain tools and ad vanced technology. For this particular, study material the mobile computing is adopted by the learners (Bahari, 2016). In order to develop a system it is very much necessary to identify the factors of traditional and current education system for the inventory theory. With the help of cloud-based system the decision, making errors could be completely minimized and even resolved (Pee et al., 2016).The users are required to understand the basics of learning disability and educational environment for the disable students (Kuila et al., 2016). After the implementation of the system it is very much necessary to confirm that the system is enough beneficial from the learning perspectives. After getting confirmation, the innovation theories could be developed efficiently (Daud Abas, 2013). The critics of the research paper have collected primary and secondary data from different resources and analyzed that information to develop the advanced learning approach for both of the disable and normal students as well. If the category is identified appropriately then the development of the advanced system will becomes much easier from the system approach. After the identification of traditional approach, only the developers will be able to deploy the modern cloud based approach for the disable student (UNESCO, 2017). ICT system will help the users to provide an appropriate framework or design for the dyslexic students (Alghabban, Salama Altalhi). With cloud system the SLR phase could be developed. The specific learning disabilities are completely resolved with the help of the outcome and mobile cloud based solution evolved by the authors (Elsherif, 2016). Due to lack of learning tools and technologies, most of the students are facing major challenges (Pang et al., 2015). In order to mitigate the errors of traditional coursework, mobile-based cloud computing technology is very much helpful. Conclusion The authors have collected data from different resources and took help from the ICT technologies and tools to develop the education system better from the dyslexic students. The hybrid applications developed to minimize the issues of these students are the dependent variable. In this particular research paper all, the variables are dependent on each other and in order to develop such hybrid application it is necessary to install all the native devices to achieve the cross platform adaptability. References Alghabban, W. G., Salama, R. M., Altalhi, A. (2016). Mobile Cloud Computing and M-Learning: State of Art. Alghabban, W. G., Salama, R. M., Altalhi, A. M-Learning: Effective Framework for Dyslexic Students Based on Mobile Cloud Computing Technology. Alizadeh, M., Abolfazli, S., Zamani, M., Baharun, S., Sakurai, K. (2016). Authentication in mobile cloud computing: A survey.Journal of Network and Computer Applications,61, 59-80. Bahari, S. F. S. M. (2016). A Review of Learning Courseware for Children with Learning Disabilities in Malaysia. Benmarrakchi, F., El Kafi, J., Elhore, A., Haie, S. (2016). Exploring the use of the ICT in supporting dyslexic students preferred learning styles: A preliminary evaluation.Education and Information Technologies, 1-19. Daud, S. M., Abas, H. (2013, December). 'Dyslexia Baca'Mobile App--The Learning Ecosystem for Dyslexic Children. InAdvanced Computer Science Applications and Technologies (ACSAT), 2013 International Conference on(pp. 412-416). IEEE. Kollorz, J. Penne, J. Hornegger and A. Barke, "Gesture recognition with a Time of flight camera," Int. J. Intell. Syst. Technol. Appl., pp. 334-343, 2008. Elsherif, T. B., (2016), Towards M-LearningEffective Tool to Improve Education for Dyslexic Students, International Journal of Engineering and Innovative Technology (IJEIT), 5 (9),pp.1-7 G., Salama, R. M., Altalhi, A. (2016). Mobile Cloud Computing and M-Learning: State of Art. Hossain, M. S. (2017). Cloud-supported cyberphysical localization framework for patients monitoring.IEEE Systems Journal,11(1), 118-127.https:www.medgadget.com/2013/05/leica-3d-surgical-microscopes-with-truevision technology.html Alizadeh, M., Abolfazli, S., Zamani, M., Baharun, S., Sakurai, K. (Authentication in mobile cloud computing: A survey. Journal of Network and Computer Applications, 61, 59-80. (2016). Islam, M. M., Razzaque, M. A., Hassan, M. M., Nagy, W., Song, B. (2017). Mobile Cloud-Based Big Healthcare Data Processing in Smart Cities.IEEE Access. Islam, M. M., Razzaque, M. A., Hassan, M. M., Nagy, W., Song, B. Mobile Cloud-Based Big Healthcare Data Processing in Smart Cities. IEEE Access. (2017). Kuila, S., Shridhar, S., Patel, C., Iyengar, N. C. S. (2016). Cloud Computing Security by Using Mobile OTP and an Encryption Algorithm for Hospital Management.Journal of Computer and Mathematical Sciences,7(11), 558-565. Kuila, S., Shridhar, S., Patel, C., Iyengar, N. C. S. (2016). Cloud Computing Security by Using Mobile OTP and an Encryption Algorithm for Hospital Management. Journal of Computer and Mathematical Sciences, 7(11), 558-565 Liang, P. C. (2016).Cost-effective design of real-time home healthcare telemonitoring based on mobile cloud computing(Doctoral dissertation, University of Surrey (United Kingdom)). Lo'ai, A. T., Bakhader, W., Mehmood, R., Song, H. (2016, December). Cloudlet-based Mobile Cloud Computing for Healthcare Applications. InGlobal Communications Conference (GLOBECOM), 2016 IEEE (pp. 1-6). IEEE. National Institute of Neurological Disorders and Stroke, Dyslexia Information Page, 2011. [Online]. Available: https://www.ninds.nih.gov/disorders/dyslexia/dyslexia.htm. [Accessed: 03-Jul-2015]. Pang, L., Chen, C. J., Teh, C. S., Anding, P. N. (2015). Online Learning for Individuals with Dyslexia: A. Pee, N. C., Leong, P. H., Othman, M. A., Sulaiman, H. A., Othman, M. F. I., Rahim, Y. A. (2016). DycScreenCross-Platform Dyslexia Screening Test for Malaysian Children Through Hybrid Applications. InAdvanced Computer and Communication Engineering Technology(pp. 1083-1091). Springer, Cham. C. Simpson, "Smart wheelchairs: A literature review," Journal of Rehabilitation Research andDevelopment, vol. 42, pp. 423-36, 2005. Unesco (2017). Accessible ICTs and Personalized Learning for Students with Disabilities Retrieved 17 August 2017, from https://www.unesco.org/fileadmin/MULTIMEDIA/HQ/CI/CI/pdf/accessible_ict_personalized_learning_2012%20.pdf. van Deursen, A. J., Ben Allouch, S., Ruijter, L. P. (2016). Tablet use in primary education: Adoption hurdles and attitude determinants.Education and information technologies,21(5), 971-990. van Deursen, A. J., Ben Allouch, S., Ruijter, L. P. (2016). Tablet use in primary education: Adoption hurdles and attitude determinants. Education and information technologies, 21(5), 971-990. Yang, L. T., Leung, V. C. A novel sensory data processing framework to integrate sensor networks with mobile cloud. IEEE Systems Journal, 10(3), 1125-1136. (2016). Zhu, C., Wang, H., Liu, X., Shu, L., Yang, L. T., Leung, V. C. (2016). A novel sensory data processing framework to integrate sensor networks with mobile cloud.IEEE Systems Journal,10(3), 1125-1136.