ASSOCIATION BETWEEN CELL PHONE USAGE AND MUSCULOSKELETAL DISORDERS IN SCHOOL GOING CHILDREN

The adverse effects of excessive mobile phone (MP) use on children include deprivation from sleep, increased risk of lack of concentration, depression, anxiety and obesity. No such study has been conducted in children from Pakistan. Objectives: To assess the association of MP usage and musculoskeletal disorders in school going children. Methods: This was a cross sectional survey. Data were collected from different private schools of Karachi, Pakistan. Convenient non probability sampling technique was used. A sample size of 385 students was taken keeping a confidence interval of 95% with 5% margin of error. Results: A total of 385 subjects participated. It was also noticed that 75.6% (291) students have smart phone and 5.2% (20) have conventional phone and remaining 19.2% (74) have camera phone. It was noticed that the participants 306 (79.5%) said they slept for 1–2[Formula: see text]h daily and 30 (7.8%) had sleep for 3–4[Formula: see text]h daily. One hundred and four 104 (27%) had noticed pain in neck. Conclusion: The use of MP for any activity was associated with sleep deprivation and pain in wrist/hands followed by neck and upper back pain. The usage of MP should be limited to avoid the stress on musculoskeletal parts of the body.

Phone Cameras and the Internet as it affects the Photographic Abilities of Students in South-South Nigeria

Illustrations when captured using cameras help its mastery, but photographic skills have been hampered by the discovery of the digitalised camera phone manufactured by Samsung and released in South Korea in June of 2000. Photographic skills have further been slowed down by the coming of the internet. To cover this empirical study, one objective and research question was used. The study therefore examined the effects of phone cameras and the internet on the photographic abilities of students in South-South Nigeria. The target population was students who studied Fine and Applied Arts that specialized in graphics. The population only involved the years three and four students. The methodology was a quantitative survey which applied the interview of students and lecturers. The cluster and purposive sampling method was applied. Data was analyzed using simple percentages. Fifty two students in all were interviewed and presenting four questions while those of lectures was eleven presenting two questions. The action of students in this study was greatly influenced by two theories. The theory of social exchange which is maximized by rewards and minimized by costs and the theory of reinforcement, the stimuli coming from the teachers being quiet on the students direction. The results indicated that the student’s photographic knowledge was negatively affected by the use of phone cameras and the use of the internet especially on their phones. This situation was accentuated by their teachers not insisting on how or where to obtain illustrations. The recommendations included their lecturers insisting on the use of professional cameras, the university authorities providing quality professional cameras for study purposes and lecturers must insist that students avoid the use of phone camera for their illustrative assignments because its provides another avenue to download and copy.

The Prophetic Lens: A Missiological Function of Film for Black Social Movement from Martin Luther King, Jr. to the Camera Phone

Through technological advances and its democratization, the camera is found to have dual functionality. It is both a prophetic and a missiological tool used to awaken the collective conscience of a nation apathetic towards the Black experience and to offer a counter-narrative reorienting the US to becoming a more racially just society. This paper considers definitions of gospel, missions, and the prophetic, outlining a framework for how the camera functions in all three. It briefly explores the use of the camera from Martin Luther King, Jr., during the Civil Rights Movement, to the contemporary citizen with a camera phone, all capturing anti-Black violence. As we will see, like the parables of Jesus were to his kingdom message, the content of the camera has proven vital to acquiring justice by exposing the realities of racial injustice, confronting the status quo, and energising viewers to take positive action.

Mobile Computational Photography: A Tour

The first mobile camera phone was sold only 20 years ago, when taking pictures with one's phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is more camera than phone. How did this happen? This transformation was enabled by advances in computational photography—the science and engineering of making great images from small-form-factor, mobile cameras. Modern algorithmic and computing advances, including machine learning, have changed the rules of photography, bringing to it new modes of capture, postprocessing, storage, and sharing. In this review, we give a brief history of mobile computational photography and describe some of the key technological components, including burst photography, noise reduction, and super-resolution. At each step, we can draw naive parallels to the human visual system.

Augmented reality marker-based technology for augmenting newspaper advertisement

In this research, we describe an augmented reality android-based idea in which we utilize augmented reality marker-based technology for augmenting newspaper advertisement with electronic information that does not modify the format of the newspaper document and remains exactly the same, substantially improves the utility of paper by reducing the portion of the printed Ad on the newspaper. An implementation on a camera phone is discussed that lets users retrieve data and access links from newspaper advertisements to electronic data. We carefully examined over twenty people of different ages and occupations who participated in the newspaper-based AR and we got a significant overall response. Further analysis implies that this may assist students in understanding the complex 3D objects, which they can manipulate, learn tasks and improve skills.

Cyanogenic Glycoside Analysis in American Elderberry

Cyanogenic glycosides (CNGs) are naturally occurring plant molecules (nitrogenous plant secondary metabolites) which consist of an aglycone and a sugar moiety. Hydrogen cyanide (HCN) is released from these compounds following enzymatic hydrolysis causing potential toxicity issues. The presence of CNGs in American elderberry (AE) fruit, Sambucus nigra (subsp. canadensis), is uncertain. A sensitive, reproducible and robust LC-MS/MS method was developed and optimized for accurate identification and quantification of the intact glycoside. A complimentary picrate paper test method was modified to determine the total cyanogenic potential (TCP). TCP analysis was performed using a camera-phone and UV-Vis spectrophotometry. A method validation was conducted and the developed methods were successfully applied to the assessment of TCP and quantification of intact CNGs in different tissues of AE samples. Results showed no quantifiable trace of CNGs in commercial AE juice. Levels of CNGs found in various fruit tissues of AE cultivars studied ranged from between 0.12 and 6.38 µg/g. In pressed juice samples, the concentration range measured was 0.29–2.36 µg/mL and in seeds the levels were 0.12–2.38 µg/g. TCP was highest in the stems and green berries. Concentration levels in all tissues were generally low and at a level that poses no threat to consumers of fresh and processed AE products.

Random Forest for video Text Amazigh

In this paper; we introduce a system of automatic recognition of Video Text Amazigh based on the Random Forest. After doing some pretreatments on the video and picture, the text is segmented into lines and then into characters. In the stage of characteristics extraction, we are representing the input data into the vector of primitives. These characteristics are linked to pixels’ densities and they are extracted on binary pictures. In the classification stage, we examine four classification methods with two different classifiers types namely the convolutional neural network (CNN) and the Random Forest method. We carried out the experiments with a database containing 3300 samples collected from different writers. The experimental results show that our proposed OCR system is very efficient and provides good recognition accuracy rate of handwriting characters images acquired via Video camera phone.

Mapping Photography

As a fresh face to the cartography world, I am always inspired by experienced cartographers and the wonderful maps they've designed. The consideration of colours, the layout design and composition applied to create the perfect mapping product. Using their webinars, tutorials and wise words, I always try to create my own perfect cartographic map but with my own unique style applied.With a fascination for photography, this helps me in more ways than just decorating my front room, often acting as a source of inspiration when designing maps. My cartography brain automatically merges the two passions, focusing on the photographs colours, layout and composition, before transferring that style to my map.Within this presentation, I want to explore the world of mapping and photography. How can photographs shape the way our maps look? With a specific focus on internet mapping, I want to showcase how we can create maps inspired from photography, whether that's your iPhone 6 or a £4000 camera. For my presentation, I will customise basemaps using a vector basemap editor and walk through this extremely useful tool. I'll then also focus on how to share your stories in an engaging and easy-to-use platform of Esri's Storymaps. The session will hopefully provide a unique style to designing your maps, that requires nothing but a camera phone and maybe a pretty landscape.

Classification Of Borax Content In Tomato Sauce Through Images Using GLCM

One of the food products that need to be reviewed for safety and is the most consumed is tomato sauce, although it contains a large amount of water in the sauce which has a long shelf life because it contains acid, sugar, salt, and is often given preservatives. The purpose of this study was to determine the tomato sauce using harmful preservatives such as the addition of borax. The dataset used in this study is the image of tomato sauce containing borax and not with the number of samples 400 images of tomato sauce with different comparison percentages starting from the image of tomato sauce with 70% borax content, image of tomato sauce with 50% borax content, image tomatoes with 30% borax content and image of tomato sauce that does not contain borax. A sampling of images using a camera phone brand xiaomi note 5 by mixing borax in the original sauce before the sample is used for the training and testing process. The classification results show the gray level co-occurrence matrix (GLCM) method is quite optimal in classifying tomato sauce data containing borax and not with an average percentage of the introduction of 88%.