A pre-experimental study to assess the effectiveness of video assisted teaching programme on knowledge and practice regarding safe handling of chemotherapeutic drugs among the staff nurses at selected hospitals, Thanjavur

A Pre-experimental study to assess the effectiveness of video assisted teaching programme on knowledge and practice regarding safe handling of chemotherapeutic drugs among the staff nurses at selected hospitals, Thanjavur. One-group pretest-post test design was used among 50 staff nurses by using purposive sampling technique. The Self administered knowledge questionnaire and observational check list were given to assess the knowledge and practice in pre and post test levels. Finally, the statistical analysis of data revealed that, in knowledge ('t'=14.18) and practice('t'=18.53) scores of 't' value had a significant difference in pre and post test levels of the staff nurses at 0.05 level. The correlation between the post test levels of knowledge and practice regarding chemotherapeutic drugs, the 'r' value is 0.77; it indicates that there is a positive and significant correlation. The study findings revealed that the Video assisted teaching programme was effective for the staff nurses

Banana Leaf Disease Identification Technique

There is no machine learning techniques have been used in an attempt to detect diseases in the banana plant such as banana bacterial wilt (BBW) and banana black sigatoka (BBS) that have caused a huge loss to many banana growers. The study investigated various computer vision techniques which led to the development of an approach that consists of four main phases. In phase one, images of Banana leaves were acquired using a standard digital camera. Phase two is the preprocessing phase where resizing and morphological operations occur. Next phase is the segmentation phase which translates RGB(Red Green Blue) image to YCbCr (Luminance Chrominance) color space which is then converted to a gray scale image and finally to a binarized image using Adaptive Contrast Map method. Next is the feature extraction phase where extraction of leaf features like color, texture and, shape occurs. Then comes the prominent phase were classification done Using Support Vector Machine classifier as classifier. Lastly, the performance of the classifier is evaluated to determine whether a leaf is diseased or not

Checklist of Mosses (Bryophyta) of Bodamalai Hills in Eastern Ghats, Tamil Nadu

Bodamalai Hills, situated on the Southern Eastern Ghats of Tamil Nadu, were explored for mosses (bryophyta) for the first time. As a result a checklist of mosses has been prepared comprising 52 species belonging to 38 genera and 21 families. The dominant families with the maximum number of species are Pottiaceae, Bryaceae, Stereophyllaceae, Sematophyllaceae and Brachytheciaceae. The dominant genera are Brachymenium and Bryum and the dominant species are Barbula javanica and Bryum capillare

Artificial Intelligence Techniques for Enhancing Smartphone Application Development on Mobile Computing

Nowadays, Artificial Intelligence is being integrated into the modern innovations, including mobile, Electronic gadgets and as well as our daily lives. The smartphones are becoming a crucial and indistinguishable part of modern life. Whether that be in terms of speech, prototype, efficiency, features, quality and so forth, together all system requirements are provided in one machine. Researchers and innovations analysts are making advances in mobile computing with the excellent technologies. While Artificial Intelligence as a commercial product has been directly accessible. In this, both corporations and violent offenders take benefit of emerging technologies and advances. Cyber-security specialists and authorities have predicted there have been high possibilities of cyber-attacks. There's really, besides that, a need to improve quite advanced and powerful data security processes and software to protect all fraudulent activities and threats. The objective of this study is to introduce latest developments of implementing Methodologies to mobile computing, to prove how such techniques could become an efficient resource for data security and protocols, and to provide scope for future research.</p

Artificial Intelligence Techniques for Enhancing Smartphone Application Development on Mobile Computing

Nowadays, Artificial Intelligence is being integrated into the modern innovations, including mobile, Electronic gadgets and as well as our daily lives. The smartphones are becoming a crucial and indistinguishable part of modern life. Whether that be in terms of speech, prototype, efficiency, features, quality and so forth, together all system requirements are provided in one machine. Researchers and innovations analysts are making advances in mobile computing with the excellent technologies. While Artificial Intelligence as a commercial product has been directly accessible. In this, both corporations and violent offenders take benefit of emerging technologies and advances. Cyber-security specialists and authorities have predicted there have been high possibilities of cyber-attacks. There's really, besides that, a need to improve quite advanced and powerful data security processes and software to protect all fraudulent activities and threats. The objective of this study is to introduce latest developments of implementing Methodologies to mobile computing, to prove how such techniques could become an efficient resource for data security and protocols, and to provide scope for future research