Acting Under Secretary of Health requested that a working group be established to develop the Veterans Health Initiative (VHI). He envisioned this as a comprehensive program to recognize the connection between certain health effects and military service, to allow military history to be better documented, to prepare health care providers to better serve their veteran patients, and to establish a data base for further study. This was first discussed by the Acting Under Secretary in relation to the health of former prisoners of war. Development was really begun by the former Chief Academic Affairs Officer, Dr. David Stevens, with the Military Service History project. This involves a pocket card for medical residents detailing the important components of a military service history targeting the health risks associated with various periods of service and more generic issues of concern and a website containing references relevant to the issues. Educational modules in the Veterans Health Initiative VHA will assist health care providers in recognizing the connection between certain health effects and military service, prepare health care providers to better serve veteran patients, and will provide a data base for further study. This independent study is designed to provide primary care practitioners with an introduction to the pathologies that lead to sight loss, their functional implications, appropriate method of referrals, training programs, and special considerations for interactions with visually impaired individuals. After completing this independent study, participants would be able to: • Define legal blindness; • Describe the causes of sight loss; • Delineate the functional implications of vision loss • Delineate the psycho/social impact of vision loss on the veteran; • Outline the role of the Visual Impairment Services Team (VIST) in the treatment of legally blind veterans and the referral process; • Describe the special personal and environmental considerations needed for visually impaired patients; • Describe the special medical considerations needed for visually impaired patients; • Describe the primary care practitioner's role in assisting veterans in establishing well-grounded claims for disability related to the loss of vision; and • Describe compensation and pension benefits provided for veterans with eye disabilities. After completing this independent study, you should 1. be able to: state the definition of legal blindness; 2. be able to: associate eye diseases with their visual implications; 3. be able to: demonstrate insight into the functional and Psycho/Social implications of sight-loss; 4. know when referrals to VIST are indicated; 5. understand …

시력 손상과 시각 장애(Visual Impairment and Blindness)

Ganong's review of medical physiology , Ganong's review of medical physiology , کتابخانه دیجیتال جندی شاپور اهواز

Ganong's review of medical physiology

Waste management is one of the crucial issues in the creation of smart cities. Because of population growth, keeping urban areas clean is a challenge. The Internet of things (IoT) has played a vital role in urban computing because it facilitates the collection, integration, and processing of various types of information. Thus, the aim of this research is to develop an Internet of Things-Based Urban Waste Management System. IoT devices hav been used to monitor human activity and to support waste management. Information about a city was collected and processed in a cuckoo search-optimized long short-term recurrent neural network. The network facilitated the analysis of the waste type, truck size, and waste source. This information alerted the waste management centers so that the appropriate actions could be taken. The efficiency of this IoT-based waste management process was evaluated through an experimental analysis. The system was found to ensure that the bins were processed on a priority basis with minimum error (0.16) and maximum accuracy (98.4%) in the minimum amount of time (15 min).

Internet of things-based urban waste management system for smart cities using a Cuckoo Search Algorithm

The indoor location-based services has become attractive with the fast improvement of indoor position estimation and with the spread of smart phones. Bluetooth Low Energy is one of the most recent advancements for IoT and particularly appropriate for ultra-low power sensors running on Complementary Metal-Oxide Semiconductor coin cell batteries. Bluetooth Low Energy is effective option for indoor positioning frameworks which offers sensible exactness and minimal effort arrangement. An estimation strategy utilizing Bluetooth low energy labels turns out to be most enhancing and promising among different procedures for assessing area on the grounds that a most of advanced mobile phones uses Bluetooth. The BLE tags transmit advertisement packets intermittently, which incorporate one of universally unique identifier, a major and a minor value only identified with every tag. At the point when a cellphone gets the advertisement packet, the Smartphone Indoor Positioning Application initiates the scanning by turning on Bluetooth and detects a BLE tags. In this paper, received signal strength of BLE tags and transmitting power is measured first so as to take position of BLE tag for indoor situating. BLE CY8CKIT-042 is utilized as a BLE tag to arrange the BLE segment. The figured parameter such as RSSI and transmitting power is used to accesses the distance determination between smartphone and BLE tags.

Indoor Positioning System using Bluetooth Low Energy

Ensuring food for all requires an interdisciplinary approach, an evaluation of all sectors of the economy and the formulation of objectives which include proper nutrition in overall development plans. It is my contention that the introduction of nutrition priorities at this level, complemented with the traditional immediate and short-term measures of food aid, nutrition programmes, health campaigns and nutrition education will do much to alleviate the world's food problems. Priorities must be defined, planning structures strengthened, and politicians convinced that objectives can be reached. Otherwise, meagre resources will continue to give low priority to agriculture and social reform and we will have accomplished little toward our objective of food for all.

Food for all.

Smart cities integrate multiple ICT and IOT solutions to build a comfortable human habitation. One of these solutions is to provide an environmentally friendly, efficient and effective garbage management system. The current garbage collection system includes routine garbage trucks doing rounds daily or weekly, which not only doesn't cover every zone of the city but is a completely inefficient use of government resources. This paper proposes a cost-effective IOT based system for the government to utilize available resources to efficiently manage the overwhelming amounts of garbage collected each day, while also providing a better solution for the inconvenience of garbage disposal for the citizens. This is done by a network of smart bins which integrates cloud-based techniques to monitor and analyze data collected to provide predictive routes generated through algorithms for garbage trucks. An android app is developed for the workforce and the citizens, which primarily provides the generated routes for the workforce and finds the nearest available smart bin for citizens.

Location Based Garbage Management System with IoT for Smart City

Waste management has become a major issue in all the part of the world and tends to grow day by day. Mismanagement in waste has become one of the key environmental and health issue. With the increase of population, especially in the urban areas waste collection, categorization, and disposal has become a major hazard for the government authorities. An IoT based waste collection framework is proposed to automate the solid waste identification, localization and collection process. The authors are involved in the identifying key impact factors in the waste collection process and provide systematic and automated solution to optimize the process to achieve higher efficiency. A layered architecture is introduced to handle the waste collection process and an optimization algorithm is derived for the existing business process based on the proposed evaluation criteria. The final outcome is a complete framework which compromises the Inputs, Outputs, Guide and Enables. The main objective is to implement an optimized automated waste collection system with the use of a vast sensor network capable of gathering waste data and by implementing an optimization algorithm in waste collection.

IGOE IoT framework for waste collection optimization

Busy lifestyles these days have led people to forget to drink water regularly which results in inadequate hydration and oily skin, oily skin has become one of the main factors for Acne vulgaris. Acne vulgaris, particularly on the face, greatly affects a person’s social, mental wellbeing and personal satisfaction for teens. Besides the fact that acne is well known as an inflammatory disorder, it was reported to have caused serious long-term consequences such as depression, scarring, mental illness, including pain and suicide. In this research work, a smartphone-based expert system namely “Cureto” is implemented using a hybrid approach i.e. using deep convolutional neural network (CNN) and natural language processing (NLP). The proposed work is designed, implemented and tested to classify Acne density, skin sensitivity and to identify the specific acne subtypes namely whiteheads, blackheads, papules, pustules, nodules and cysts. The proposed work not only classifies Acne Vulgaris but also recommends appropriate treatments based on their classification, severity and other demographic factors such as age, gender, etc. The results obtained show that for Acne type classification the accuracy ranges from 90%-95% and for Skin Sensitivity and Acne density the accuracy ranges from 93%-96%.

CURETO: Skin Diseases Detection Using Image Processing And CNN

In recent years, localization and navigation have been important topics in research. The most popular navigation system is an outdoor navigation with “GPS”; however, the positioning within indoor environments is not possible with “GPS”, so it is resulting in limited operation for indoor environments. In order to overcome this limitation, this paper discussed Bluetooth Low Energy technology based localization model. The “BLE” provides several major forms of parameters linked to location estimation such as “RSSI” and “LQI”. In real time applications such as object tracking and distance estimates require continuous reception of RSSI measurements to estimate the position of the object accurately. Nevertheless, on that point, there are some constraints such as signal attenuation, signal loss, multipath effects, temperature, reflection, a human body and other communication signals. Hence, this research work considered the “RSSI” smoothing approaches. Although there are so many solutions, no RSSI smoothing method has been recognized as a standard method. This paper presents a Feedback filter together with shifting technique at distance domain to reduce fluctuations of the real-time signals. Experiments show that the probability of locating errorless and it is better than the other existing interference avoidance algorithms. General Terms Indoor navigation, Localization, i-Beacon

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Indoor Positioning: Novel Approach for Bluetooth Networks using RSSI Smoothing

Food is the third most essential part of everyone's lives. But generally global food loss and wastage amount has been increased to an amount between one third and one half of all food produced. The reasons can be specified as a lack of appropriate planning, purchase and preparation of too much food, over the preparation of food in restaurants. As a solution, the project team has implemented a mobile application which is capable of capturing an image of a food and identify it and measure the weight. With the gathered data, the implemented system contains an intelligent agent providing suggestions of food recipes with leftover foods and several additional features such as guidance to the user to prepare any kind of food with the help of an interactive Chatbot as well as the user has been directed to get healthy meals by considering the previous meal plans and statistical report analysis. As the results, the implemented recipe generation algorithm of sentimental analysis has obtained 76% accuracy and moreover the team has obtained more accurate unique technique for weight estimation than the currently available calibration techniques.

Shashika Lokuliyana

Papers

Location Based Garbage Management System with IoT for Smart City

IGOE IoT framework for waste collection optimization

CURETO: Skin Diseases Detection Using Image Processing And CNN

Indoor Positioning: Novel Approach for Bluetooth Networks using RSSI Smoothing

Zero Food Waste: Food wastage sustaining mobile application