Oral care practices in intensive care unit patients- A critical issue
Background: Critically ill patients, who may be unconscious or sedated while they are treated in ICUs, often need the assistance from machines to help them breathe (ventilators). The use of these machines for more than 48 hours may result in ventilator-associated pneumonia (VAP). Oral hygiene care, using a mouth rinse, gel, toothbrush, or combination, together with suctioning secretions, may reduce the risk of VAP in these patients. There are recommendations and guidelines for oral care in the ICU administered to patients in the 2005 AACN Procedure Manual for Critical Care and the guidelines from the Centers for Disease Control and Prevention respectively. However, no gold standard exists for oral care for critically ill patients who are orally intubated. Objective and method: A descriptive study using a self-administered 25 questionnaire was used to describe oral care practices performed by 100 nurses posted in ICU. Results: 84% of the respondents reported oral care practices as a high priority in ICU-administered patients. 63% of nurses provided oral care twice a day for an average duration of 20-40 seconds. The most common tool used were spatulas and gauge (30%); toothbrush (16%); spatulas, gauge, toothbrush and suctioning (14%) followed by spatulas, gauge, and suctioning (10%) with the least used being swabs and foams (2%). 83% of the responders also mentioned the use of chemical plaque control, 6% uses toothpaste, 50% used 0.12% chlorhexidine and 25% used toothpaste and chlorhexidine. Conclusion: There is a gap in actual practices compared with policies because of the variations among different organization policies.
Published by: Uzma Irshad, Sushama R. Galgali
Author: Uzma Irshad
Paper ID: V8I1-1136
Paper Status: published
Published: January 4, 2022
Cognitive ability among LD and normal adolescents
In psychology, cognitive ability refers to aptitude for carrying out mental processes, such as problem-solving, adaptation, comprehension, reasoning, knowledge acquisition, abstract thought, and making connections. In education, cognitive ability is considered a foundation for learning. Learning Disabilities” refers to a variety of disorders that affect the acquisition, retention, understanding, organization, or use of verbal and/or non-verbal information. These disorders result from impairments in one or more psychological processes related to learning, in combination with otherwise average abilities essential for thinking and reasoning. Learning disabilities are specific, not global impairments, and as such are distinct from intellectual disabilities. Hence a study is conducted in order to find out the cognitive ability among LD and normal adolescents.
Published by: Priyadharshini, Jerus Albert Britto J
Author: Priyadharshini
Paper ID: V8I1-1145
Paper Status: published
Published: January 4, 2022
Finger dorsal pattern
This paper investigates a new approach for personal authentication using finger dorsal pattern imaging. The texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. The finger geometry features can be simultaneously acquired from the same image at the same time and integrated to further improve the user-identification accuracy of such a system. The finger-back surface images from each user are normalized to minimize the scale, translation, and rotational variations in the knuckle images. This paper details the development of such an approach using peg-free imaging. The experimental results from the proposed approach are promising and confirm the usefulness of such an approach for personal authentication.
Published by: Priya T. Bendarkar
Author: Priya T. Bendarkar
Paper ID: V8I1-1148
Paper Status: published
Published: January 4, 2022
Socio-economic characteristics of the Sugarcane growers in the Balrampur district of Uttar Pradesh
Sugarcane (Saccharum officinarum) is primarily grown for its juice, which is used to make sugar. The vast majority of the world's sugarcane is grown in subtropical and tropical climates. Sugarcane is a well-established source of sugar and the current first-generation feedstock benchmark for efficient biofuel production. The current study was carried out to assess the socioeconomic characteristics of sugarcane growers in the Balrampur District, which was selected purposively. The study was carried out in selected villages of Tulsipur Tehseel in the Balrampur district of Uttar Pradesh. The samples consisted of 316 respondents who were selected through a proportionate random sampling method. The respondents were interviewed personally and data were collected through a pre-structured and pre-tested interview schedule. The study revealed that the majority of the respondents (51.58%) had middle age group, most of the respondents were illiterate (62.78%), They engaged Agriculture farming as a primary occupation and had operational landholding size up to 1 ha with income levels ranging from 75000/- it was also revealed that most of the respondents occasionally participate in social participation, 67.08 percent of the sugarcane growers had a medium level of participation in extension program, whereas 33.86 and 44.30 percent of them had a medium and low level of innovativeness respectively. It was also found that 58.86 percent of the respondents had medium cosmopolites. Respondents are interested in more information and try out new ideas and technologies within their budget and limits and also farmers who are prone to innovations will try to gather information regarding the new technology from various aspects, they wanted to learn new ways of farming, improved production technologies and want to adopt those technologies at a faster rate with maximum accuracy.
Published by: Alimul Islam, Dipak Kumar Bose
Author: Alimul Islam
Paper ID: V8I1-1155
Paper Status: published
Published: January 4, 2022
Machine learning for 5G technology
The deployment of 4G / LTE mobile networks has solved the big challenge of creating high-capacity mobile real broadband internet. This was made possible mainly by the strong physical level and the flexible network architecture. In addition, there is a strong demand for high reliability and almost zero latency of mobile networks with other new services. Such as vehicle communication or vehicle internet. 5G has overcome some of these challenges. In addition, the adoption of software defense networks and the virtualization of network functions have added greater flexibility to operators, allowing operators to support high-demand services from a variety of vertical markets. It is also necessary to predict its evolution in order to create a network that can be actively and effectively (self-measuring). This chapter explains the role of artificial intelligence and machine learning in creating cost-effective and relevant next-generation mobile networks in 5G and later mobile networks. Some of the practical applications of AI / ML in the network life cycle are discussed.
Published by: Patel Niharkumar Kantibhai, Patel Nirmalkumar Shankarbhai, Gameti Brijesh Jashvantbhai
Author: Patel Niharkumar Kantibhai
Paper ID: V8I1-1137
Paper Status: published
Published: January 3, 2022
The analysis of the sustainable food value chain via business model canvass techniques creates a scope of business opportunity.
The convergent innovation model has based on a linear approach to defining next-generation requirements which rely on science technology, innovation program, and full fill the requirement of three themes as the health of people, environment, and economy for the future, which build firms strategic vision, through developing a new product, new process, and practices in a novel way. Purpose: The current research describes the importance of convergent innovation technology, sustainable pulse value chain, and developed convergent innovation framework model and also establishes a potential mapping between convergent innovation with the sustainable pulse value chain and discussed the pioneering initiative of convergent pulse innovative programmer in Indian pulse processing firms. Design/ Methodology; The current research study is based on explorative method and descriptive method, and review literature based on primary data and secondary data. The convergent innovation technology related, from the field of science, technology which highlight evolution of convergent innovation technology get benefitted to all sectors, as well as the collaboration of convergent innovation with sustainable pulse value chain increases the efficiency of pulse processing firms and enhanced sustainable pulse value chain. Conclusion: The convergent innovation upgrade innovative technology and made expansion of business. It operates in multilevel and cross-sectoral collaborative platforms through pulse processing industries and introduced in the form of pulse innovative programs such as the Odessa pulse program, tata pulse initiative program, etc. which establish the link between villages and modern value chains. The research focused on the mapping of convergent innovation with a sustainable pulse value chain to generate benefits.
Published by: Mandavi Sahu, DR. SAPNA ARORA, Dr. Vishal Jain
Author: Mandavi Sahu
Paper ID: V7I6-1318
Paper Status: published
Published: January 3, 2022
