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A study on analyzing fake news through Neural Network Models

Fake news is defined as a made-up story with an intention to deceive or to mislead. In this paper we present the solution to the task of fake news detection by using Deep Learning architectures. Gartner research [1] predicts that “By 2022, most people in mature economies will consume more false information than true information”. The exponential increase in production and distribution of inaccurate news presents an immediate need for automatically tagging and detecting such twisted news articles. However, automated detection of fake news is a hard task to accomplish as it requires the model to understand nuances in natural language. Moreover, majority of the existing fake news detection models treat the problem at hand as a binary classification task, which limits model’s ability to understand how related or unrelated the reported news is when compared to the real news. To address these gaps, we present neural network architecture to accurately predict the stance between a given pair of headline and article body. Our model outperforms existing model architectures by 2.5% and we are able to achieve an accuracy of 94.21% on test data.

Published by: Ashwini Durgadas Kalpande, Sachin A. Vyawhare

Author: Ashwini Durgadas Kalpande

Paper ID: V7I3-2041

Paper Status: published

Published: June 25, 2021

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Research Paper

The PICC-related complication in Hemato-Oncological patients for the administration of chemotherapeutic drugs

Background Majority of malignant diseases require therapy with chemotherapeutic agents for medium to long term time duration. Duration, feasibility and ease of placement, comfort, and rate of complications in patients are of utmost importance in choosing the type of catheter placement. In light of this peripherally inserted central venous catheters (PICC) have added advantage over conventional central venous catheters. The aim of this study was to evaluate the rate of infection related to PICC, the duration and outcome of PICC in oncological patients. Patients and Methods: A longitudinal study was conducted to look at the PICC (Peripherally Inserted Central Catheter)-related complication rates which occurred in inpatient and outpatient settings on patients who had a PICC line inserted for the administration of chemotherapeutic drugs, between 2015 to 2019, a period of five years. A total of 865 patients with PICC lines were analyzed. Pertinent patient demographics, as well as catheter-related factors, were collected. The data was analyzed by using excel and the association between duration and complication is compared using the chi-square test. p<0.05 is considered as significant.to identify catheter-related complications and the outcome of the PICC line in relation to the removal of the line. The Retrospective data analyzed so waiver of consent is taken on the day of PICC line insertion and the institutional ethical clearance has been taken for this study. As the data is taken retrospectively from the patient records with anonymity being maintained, no actual consent is required in this study. Approval from the hospital ethical committee got. Also during PICC insertion, informed consent is taken from all subjects. Results:s The PICCs placed for 865 patients, each between the duration of 3 months to 6 months was analyzed. The most suitable vein for the insertion was the basilic vein (85%). Conclusions: Our study suggests, PICC is an excellent option for various diagnostic and therapeutic interventions and offers clinicians and nurses a safe and effective option for central access. The data of this study shows PICC to be more cost-effective in terms of longer duration of use and have lower complication rates than the conventional CICCs and hence has to be promoted more in patients for chemotherapy drug administration.

Published by: Sampa Mandal, Leema Chandravadhana, Punitha Rani Singh, Raju C.

Author: Sampa Mandal

Paper ID: V7I3-1931

Paper Status: published

Published: June 25, 2021

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Research Paper

Automated wastewater management using Arduino

Water scarcity is one of the major problems facing major cities of the world and wastage during transmission has been identified as a major culprit. This is one of the motivations for this research, to deploy computing techniques in creating a barrier to wastage in order to not only provide more financial gains and energy saving but also help the environment and water cycle which in turn ensures that we save water for our future. We presented our research in embedding a control system into an automatic water pump controller through the use of different technologies in its design, development, and implementation. The system used ARDUINO to automate the process of water pumping in an overhead tank storage system and has the ability to detect the level of water in a tank, switch on/off the pump accordingly, and display the status on an LCD screen. This research has successfully provided an improvement on existing water level controllers by its use.

Published by: Sahil Patil, Depesh Singh, Kartikeya Tiwari, Manish Salvi

Author: Sahil Patil

Paper ID: V7I3-2110

Paper Status: published

Published: June 24, 2021

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Research Paper

Knowledge, attitude, and practices associated with covid-19 among undergraduate NCC cadets of Tripura, india

COVID-19 is a pandemic that has taken over the entire world and its Knowledge Attitude and Practices (KAP) is important for NCC cadets in order to be well-versed future social workers. This work is carried out to evaluate the adequacy of knowledge of NCC cadets to deal with the ongoing pandemic and their attitudes and practices or roles towards the prevention and control of the pandemic. National Cadet Corps has offered its volunteer cadets for national duty to fight COVID-19. The Exercise has been codenamed ‘Ex NCC Yogdan’ and guidelines for temporary employment of the cadets have already been issued as per the direction of the Ministry of Defence. Methods: A KAP study was conducted in the Undergraduate NCC cadets of Tripura. A questionnaire was sent via Google forms through social media platforms to the participants. Statistical analysis was done by ANOVA, student t-test. Results: The mean ± SD scores attained for knowledge, attitude, and practices were 7.47±1.23, 16.80±2.50. The scores attained by different age groups, semesters, and genders were comparable. The knowledge of the students in regard to main symptoms (99.8.%), mode of spread (92.83%), time taken for the manifestation of the disease (98.15%), and precautions to prevent the spread of the virus (99.02%) is satisfactory. 88% of the students are confident about being able to take care of symptoms. 82% of students are positive about working as frontline workers. Conclusions: Positive attitude and practices are seen in NCC cadets of Tripura, the knowledge is adequate and they can be a vital asset to spreading awareness about COVID-19.

Published by: Dr. Prasanta Deb, Jogamoy Ghosh, Susmita Haldar

Author: Dr. Prasanta Deb

Paper ID: V7I3-2107

Paper Status: published

Published: June 24, 2021

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Research Paper

Dominator coloring of certain graphs

A graph has a dominator coloring if it has a proper coloring in which each vertex of the graph dominates every vertex of some color class. The dominator chromatic number is the minimum number of colors required for a dominator coloring of G. In this paper the dominator chromatic number for comb graph, jewel graph, flower graph is studied and also the dominator coloring of coronagraph of path with triangular snake graph and double triangular snake graph is studied.

Published by: V. Jude Annie Cynthia, Fancy V. F., K. Kavitha

Author: V. Jude Annie Cynthia

Paper ID: V7I3-2055

Paper Status: published

Published: June 24, 2021

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Review Paper

Effect of process parameters on production of biogas from food waste

In a world filled with exhausting fuels, biogas production could be a key technology within the development of sustainable energy supply systems that aims to cover the energy demand using renewable sources and to mitigate greenhouse gas emissions. Biogas production can be achieved through anaerobic digestion (AD), a biological process. Anaerobic digestion is taken into account to be a useful tool that can generate renewable energy and significant research interest. This renewable biofuel can play an important role in decreasing the concerns related to a rapid increase in energy demands and also the greenhouse emission emissions. A unique advantage of this renewable energy production is it uses anaerobic digestion of various organic wastes including food waste. Food wastes have a high potential for biomethane production because it has high organic matter contents. This work intends to present an overview of the effect of process parameters in an anaerobic digester for biogas production. This study is to make an organic processing facility to form biogas that can be more cost-effective, eco-friendly, cut down on landfill waste, generate a high-quality renewable fuel, and reduce carbon dioxide and methane emissions and also, the parameters which affect or influence this process.

Published by: M Kalyani, Arani Nandakumar Chandana, Dimple Katikela

Author: M Kalyani

Paper ID: V7I3-2105

Paper Status: published

Published: June 24, 2021

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