Java Mobile Programming for Android. Java is the technology of choice for building applications using managed code that can execute on mobile devices. Android is an open source software platform and Linux- based operating system for mobile devices. The Android platform allows developers to write managed code using Java to manage and control the Android device. Android applications can be developed by using the Java programming language and the Android SDK. So, familiarity with the basics of the Java programming language is a prerequisite for programming on the Android platform. This article discusses where Java fits in mobile application development and how we can use Java and Android SDK to write applications that can work on Android devices. The Choice of Java. What made Java be the technology of choice for mobile development for the Android platform? The Java Programming Language emerged in the mid- 1. James Gosling of Sun Microsystems. Incidentally, Sun Microsystems was since bought by Oracle. Java has been widely popular the world over, primarily because of a vast array of features it provides. All these, added to Java's meteoric rise, were the prime factors that attributed to the decision of adopting Java as the primary development language for building applications that run on Android. Java programs are secure because they run within a sandbox environment. Programs written in Java are compiled into intermediate code known as bytecode. This bytecode is then executed inside the context of the Java Virtual Machine. You can learn more about Java from this link. How To Write Program In J2me EmulatorUsing Java for Building Mobile Applications. The mobile edition of Java is called Java ME. Java ME is based on Java SE and is supported by most smartphones and tablets. The Java Platform Micro Edition (Java ME) provides a flexible, secure environment for building and executing applications that are targeted at embedded and mobile devices. The applications that are built using Java ME are portable, secure, and can take advantage of the native capabilities of the device. Java ME addresses the constraints that are involved in building applications that are targeted at mobile devices. In essence, Java ME addresses the challenge of executing applications on devices that are low on available memory, display, and power. There are various ways to build applications for Android devices, but the recommended approach is to leverage the Java programming language and the Android SDK. You can explore more about the Android SDK Manager from here. The Dalvik Virtual Machine (Dalvik VM)The Android platform leverages the Dalvik Virtual machine (Dalvik VM) for memory, security, device, and process management. Although the internal intricacies of how the Dalvik Virtual Machine works is not that important to an average developer, you can think of the Dalvik VM as a box that provides the necessary environment for you to execute an Android application sans the need of having to worry about the target device. To get started using Java for Android, you should first download and install Android Studio. You then may want to take advantage of the SDK Manager to download and install the latest SDK tools and platforms. Summary. Programs that are targeted at the Android platform are written in Java and executed by the Dalvik Virtual Machine (DVM). Trail: Learning the Java Language. This lesson describes where and how to use annotations in a program effectively. In this article, we have had a look at how and why Java fits in as far as the mobile application development industry is concerned. I will discuss more on how you can build applications using Java for Android devices in another article here. How to create a simple MIDlet application with NetBeans. How to run basic J2ME Hello World program Abhishek Gupta. Subscribe Subscribed Unsubscribe 13 13. Java ME Embedded and Java Card Application Technology Trail. Java ME Related Sites. Java ME Embedded Documentation; Oracle Technology Network. MOBILE APPLICATION DEVELOPMENT LAB 1 Write a J2ME program to show how to change from STATISTICS 100 at Indian. Write a J2ME program which creates the following. Learn why Java is the language. Manufacturers Ship Java ME; Why Software Developers Choose Java. This sample Java program demonstrates how to write to a file in Java. JSF JSP Java Beans J2ME JDBC Linux Mac OS.
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Makers owners manual read download elektra t3 coffee.MPH in Epidemiology – Online and On Campus MPH in Epidemiology. Current medical and dental students are not eligible for the MPH in epidemiology program. The Department of Epidemiology is the oldest, and among the largest, in the world. Students gain proficiency in study designs, measurement and inference to illuminate. Epidemiology - Wikipedia, the free encyclopedia. Epidemiology is the study and analysis of the patterns, causes, and effects of health and disease conditions in defined populations. It is the cornerstone of public health, and shapes policy decisions and evidence- based practice by identifying risk factors for disease and targets for preventive healthcare. Epidemiologists help with study design, collection, and statistical analysis of data, amend interpretation and dissemination of results (including peer review and occasional systematic review). Epidemiology has helped develop methodology used in clinical research, public health studies, and, to a lesser extent, basic research in the biological sciences. Epidemiologists rely on other scientific disciplines like biology to better understand disease processes, statistics to make efficient use of the data and draw appropriate conclusions, social sciences to better understand proximate and distal causes, and engineering for exposure assessment. Etymology. However, the term is widely used in studies of zoological populations (veterinary epidemiology), although the term . Therefore, this epidemiology is based upon how the pattern of the disease cause changes in the function of everyone. History. Imhotep) is known as the father of medicine. The cure to the sickness was to remove or add the humor in question to balance the body. This belief led to the application of bloodletting and dieting in medicine. They were considered to be able to spread by air, multiply by themselves and to be destroyable by fire. In this way he refuted Galen's miasma theory (poison gas in sick people). In 1. 54. 3 he wrote a book De contagione et contagiosis morbis, in which he was the first to promote personal and environmental hygiene to prevent disease. Online Epidemiology Masters Degree Programs. Find out about online graduate degrees in epidemiology. Get program info and course descriptions, as well as career and. Welcome to the Department of Epidemiology, where Research, Methodology and Education are key to accomplishing our mission. With multiple degree options and. Students should be aware of the University of Queensland rules, particularly the General Award Rules. Program Rules for the Master of Epidemiology. The development of a sufficiently powerful microscope by Antonie van Leeuwenhoek in 1. Wu Youke (1. 58. 2- 1. His book Wenyi Lun (Treatise on Acute Epidemic Febrile Diseases) can be regarded as the main etiological work that brought forward the concept, ultimately attributed to Westerners, of germs as a cause of epidemic diseases (source: http: //baike. His concepts are still considered in current scientific research in relation to Traditional Chinese Medicine studies (see: http: //apps. Js. 61. 70e/4. html). Another pioneer, Thomas Sydenham (1. His theories on cures of fevers met with much resistance from traditional physicians at the time. He was not able to find the initial cause of the smallpox fever he researched and treated. In it, he analysed the mortality rolls in London before the Great Plague, presented one of the first life tables, and reported time trends for many diseases, new and old. He provided statistical evidence for many theories on disease, and also refuted some widespread ideas on them. John Snow is famous for his investigations into the causes of the 1. His identification of the Broad Street pump as the cause of the Soho epidemic is considered the classic example of epidemiology. Snow used chlorine in an attempt to clean the water and removed the handle; this ended the outbreak. This has been perceived as a major event in the history of public health and regarded as the founding event of the science of epidemiology, having helped shape public health policies around the world. His findings were published in 1. Disinfection did not become widely practiced until British surgeon Joseph Lister 'discovered' antiseptics in 1. Louis Pasteur. In the early 2. Ronald Ross, Janet Lane- Claypon, Anderson Gray Mc. Kendrick, and others. Epidemiology research to examine the relationship between these biomarkers analyzed at the molecular level, and disease was broadly named . Genetic variation is typically determined using DNA from peripheral blood leukocytes. Since the 2. 00. 0s, genome- wide association studies (GWAS) have been commonly performed to identify genetic risk factors for many diseases and health conditions. While most molecular epidemiology studies are still using conventional disease diagnosis and classification systems, it is increasingly recognized that disease evolution represents inherently heterogeneous processes differing from person to person. Conceptually, each individual has a unique disease process different from any other individual (. Studies to examine the relationship between an exposure and molecular pathologic signature of disease (particularly cancer) became increasingly common throughout the 2. However, the use of molecular pathology in epidemiology posed unique challenges including lack of research guidelines and standardized statistical methodologies, and paucity of interdisciplinary experts and training programs. To resolve these issues and advance population health science in the era of molecular precision medicine, . In MPE, investigators analyze the relationships between; (A) environmental, dietary, lifestyle and genetic factors; (B) alterations in cellular or extracellular molecules; and (C) evolution and progression of disease. A better understanding of heterogeneity of disease pathogenesis will further contribute to elucidate etiologies of disease. The MPE approach can be applied to not only neoplastic diseases but also non- neoplastic diseases. In observational studies, nature is allowed to . Conversely, in experimental studies, the epidemiologist is the one in control of all of the factors entering a certain case study. The identification of causal relationships between these exposures and outcomes is an important aspect of epidemiology. Modern epidemiologists use informatics as a tool. Observational studies have two components, descriptive and analytical. Descriptive observations pertain to the . However, analytical observations deal more with the . These types of studies, in which an astute clinician identifies an unusual feature of a disease or a patient's history, may lead to formulation of a new hypothesis. Using the data from the series, analytic studies could be done to investigate possible causal factors. These can include case control studies or prospective studies. A case control study would involve matching comparable controls without the disease to the cases in the series. A prospective study would involve following the case series over time to evaluate the disease's natural history. This technique has been extensively used in the study of adverse reactions to vaccination, and has been shown in some circumstances to provide statistical power comparable to that available in cohort studies. Case- control studies. It is a retrospective study. A group of individuals that are disease positive (the . The control group should ideally come from the same population that gave rise to the cases. The case- control study looks back through time at potential exposures that both groups (cases and controls) may have encountered. The statistic generated to measure association is the odds ratio (OR), which is the ratio of the odds of exposure in the cases (A/C) to the odds of exposure in the controls (B/D), i. OR = (AD/BC). Cases. Controls. Exposed. ABUnexposed. CDIf the OR is significantly greater than 1, then the conclusion is . If the OR is far less than one, then this suggests that the exposure is a protective factor in the causation of the disease. Case- control studies are usually faster and more cost effective than cohort studies, but are sensitive to bias (such as recall bias and selection bias). The main challenge is to identify the appropriate control group; the distribution of exposure among the control group should be representative of the distribution in the population that gave rise to the cases. This can be achieved by drawing a random sample from the original population at risk. This has as a consequence that the control group can contain people with the disease under study when the disease has a high attack rate in a population. A major drawback for case control studies is that, in order to be considered to be statistically significant, the minimum number of cases required at the 9. As the odds ratio approached 1, approaches 0; rendering case control studies all but useless for low odds ratios. For instance, for an odds ratio of 1. Cases. Controls. Exposed. Unexposed. 84. 10. For an odds ratio of 1. Cases. Controls. Exposed. Unexposed. 16. 52. Cohort studies. The study subjects should be at risk of the outcome under investigation at the beginning of the cohort study; this usually means that they should be disease free when the cohort study starts. The cohort is followed through time to assess their later outcome status. An example of a cohort study would be the investigation of a cohort of smokers and non- smokers over time to estimate the incidence of lung cancer. However, the point estimate generated is the relative risk (RR), which is the probability of disease for a person in the exposed group, Pe = A / (A + B) over the probability of disease for a person in the unexposed group, Pu = C / (C + D), i. RR = Pe / Pu... Case. Non- case. Total. Exposed. AB(A + B)Unexposed. CD(C + D)As with the OR, a RR greater than 1 shows association, where the conclusion can be read . The RR is a more powerful effect measure than the OR, as the OR is just an estimation of the RR, since true incidence cannot be calculated in a case control study where subjects are selected based on disease status. Temporality can be established in a prospective study, and confounders are more easily controlled for. However, they are more costly, and there is a greater chance of losing subjects to follow- up based on the long time period over which the cohort is followed. Cohort studies also are limited by the same equation for number of cases as for cohort studies, but, if the base incidence rate in the study population is very low, the number of cases required is reduced by . For epidemiologists, the key is in the term inference. Correlation is a necessary but not sufficient criteria for inference of causation. The different prerequisites and training requirements in these three disciplines are described in the specific web pages. The programs leading to a Master’s degree are designed to provide training in both theory and practice in the selected discipline, with an opportunity to synthesize the training in the form of either a thesis or a project. The department, unfortunately, cannot guarantee funding for Master’s students. The Doctoral programs provide students with training essential to becoming independent scientific researchers. Our programs integrate coursework, practical experience, teaching experience, and completion of a doctoral thesis that contributes to the field both in originality and knowledge. The majority of the students admitted to the department's Ph. D programs are funded from internal, external and supervisor- arranged fellowships, and from teaching and research assistantships. Epidemiology. Epidemiology is the study of the distribution and determinants of health and disease. It is a basic science to clinical medicine, public health, and health services research. Our graduate programs have been offered since the 1. We offer education and research training in the etiology, management and prevention of diseases, and the promotion of health. Areas of existing strength include clinical epidemiology, pharmacoepidemiology, cancer, cardiovascular, respiratory, perinatal, environmental, and occupational epidemiology; clinical trials, health services research. Newly emerging areas of expertise include social epidemiology, public and population health, infectious diseases, neuroepidemiology, psychiatric epidemiology, global health, clinical and health research informatics, genetic, and molecular epidemiology. Graduates with a Master’s degree will be qualified for positions as research associates in industry, government and academic research institutes, and in other agencies and organizations where competencies in study design, research project management, data analysis, and knowledge translation are highly sought after. The doctoral program is aimed at those who seek positions as independent epidemiological investigators and scientific collaborators in academia and public and private agencies, as well as health care institutions, and who will train the next generation of epidemiologists. Admission and Application Information. Public Health. The mission of the Master's of Public Health is to train outstanding public and population health professionals and future leaders by offering a rigorous academic program in methods, research, and practice. Students will study the foundations and principles of epidemiology and biostatistics, as applied to public health research and practice, in order to design, conduct and analyze population- based, environmental, clinical, policy, and methodological public health- related research. Graduates of the program will serve as public and population health practitioners, research professionals, and educators, and will possess the competencies and professionalism to carry out broad public health functions in local, provincial, national, and international settings. They will be recruited by regional, federal, and international health authorities, as well as in the education and private sectors, to meet the increasing demand for public health professionals. Admission and Application Information. Biostatistics. Biostatistics is the study of statistics and statistical methods with application to the biomedical environment. The department has one of the largest concentrations of Ph. D statisticians in any Canadian medical school. They receive funding from the Natural Sciences and Engineering Research Council of Canada, and from other federal and provincial agencies that fund research in the quantitative and health sciences. The research focus of faculty members is on the development of new statistical methods for the collection and analysis of clinical and epidemiologic research data. In 1. 99. 5, we launched a distinct biostatistics training program. In 2. 00. 7 we undertook a major review and modification of the program. Students will benefit from a broader range of courses designed specifically for biostatisticians. There will also be an emphasis on communication and other skills essential for collaborative research. Our programs are aimed at students with strong theoretical training in mathematics and statistics at the undergraduate or Master’s level. Graduates with a Master’s degree will be qualified for positions as statisticians in industry, government and academic research institutes, and other agencies and organizations where skills in data analysis, applied statistics and statistical computing are in high demand. The doctoral program is aimed at those who seek positions as independent statistical researchers and scientific collaborators in academia and biomedicine, directors of statistics units in industry, as well as those who will train the next generation of biostatisticians. Admission and Application Information. Occupational Health. Mc. Gill is known for its pioneering research in occupational hazards associated with agents such as respirable dust, chemical hazards and radiation. The MSc(Applied) and Ph. D programs in Occupational Health are multidisciplinary, and involve engineering, chemistry, ergonomics, epidemiology, and occupational health. The applied programs educate practitioners in occupational health and safety, and in industrial hygiene who will be capable of evaluating the work environment and its hazards, and of proposing appropriate methods of prevention and control. 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