Application of Catboost algorithm as a predictive tool in a CNC turning process
In this paper, an ensemble learning method, in the form of a Categorical boost (Catboost) algorithm is adopted as an effective predictive tool for envisaging values of average surface roughness and material removal rate during the CNC turning operation of C45 steel workpiece with a tungsten carbide cutting tool. In order to develop the related models, a grid with combinations of different hyperparameters is created and tested for all the possible hyperparametric combinations of the model. The configurations having the optimal values of the considered hyperparameters and yielding the lowest training error are finally employed for predicting the response values in the CNC turning process. The performance of the developed models is finally validated with the help of root mean squared percentage error. It can be observed that Catboost can be efficiently applied as a predictive tool with excellent accuracy in machining processes.
Published by: Lalitkishore N., Shriraam Manoharan
Author: Lalitkishore N.
Paper ID: V9I5-1153
Paper Status: published
Published: October 12, 2023
Forensic pathology and autopsy techniques
forensic medicine and pathology play a vital role in the justice system and society at large. The techniques and expertise of forensic pathologists are instrumental in determining the cause of death, solving crimes, and ensuring justice is served. This field continues to evolve with advancements in technology, making it a critical aspect of modern law enforcement and public health.
Published by: Dr. G. Panneer Selvam
Author: Dr. G. Panneer Selvam
Paper ID: V9I5-1160
Paper Status: published
Published: October 12, 2023
A Study to Examine the Efficacy of Nurse Driven Client Centered Intervention on Sexuality Among Middle Adulthood in Primary Health Center, Achankuttapatty at Salem-Pilot study
Background: Middle adulthood, typically spanning from the ages of 40 to 65, is a significant phase in an individual's life characterized by various physical, emotional, and psychological changes. Among these changes, the evolution of one's sexual identity and experience remains a critical aspect of overall well-being. Nurses, as frontline healthcare providers, are ideally positioned to address these issues through client-centered interventions. This research study aims to investigate the efficacy of nurse-driven client-centered interventions in addressing sexuality-related issues among middle-aged adults. It will explore the impact of such interventions on sexual health outcomes, emotional well-being, and overall quality of life in this population. Methods: The research approach adopted for the study was a true experimental design. The selection of subjects was done by Simple random sampling technique method and the sample consisted of 10 middle adulthoods residing in Achankuttapatty, Salem, Tamil Nadu. The data was collected by administering Multi-dimensional Sexuality Questionnaire (MSCQ) questionnaires The validity and reliability of the tool were obtained. The collected data were analyzed by using descriptive and inferential statistics in terms of Frequency, Percentage distribution chi-square test, and independent ‘t-test. Results: In the experimental group most (75%) of them were moderate satisfaction whereas in the control group most (60%) of them were severe satisfaction. The overall mean percentage in the experimental group was 83% whereas in the control group, it was 66%, revealing a difference of 17%. The paired test value in the experimental group was 19.1 whereas in the control group, it was. The unpaired‘t test value was 8.4, which shows that there is a highly significant difference between the experimental group and control group post-test scores of sexuality in middle adulthood. Conclusion: From the findings it can be concluded that hallmark Vs resilience training and behavioral intervention was effective in improving the functions of sexuality in middle adulthood.
Published by: S. Nasira, Dr. P. Padmavathi
Author: S. Nasira
Paper ID: V9I5-1162
Paper Status: published
Published: October 12, 2023
A novel risk assessment and screening tool for Learning Disorders in children
Learning disorders (LDs) are neurodevelopmental disabilities with a worldwide prevalence of 5-15%. Lack of awareness paired with heterogeneity in testing methods results in non-identification of LDs in children. Assessment tests presently used to diagnose LDs require the physical presence of a medical professional, are time-consuming and expensive, and adopt a non-child-centric approach. DysDiag proposes novel, accessible, and easy-to-administer risk assessment and screening tests (based on DSM-5 criteria), for LDs in children (5-8 years). DysDiag’s test for Dyslexia consists of a gamified, visual-based quiz that accesses the child’s phonemic, auditory, and visual-based skills followed by a pronunciation test and parental questionnaire. The test for Dysgraphia includes 2 Machine Learning Image Classification Models that classify the child’s handwritten sample as dysgraphic or normal and further evaluate the sample for 6 diagnostic symptoms. The models recorded F1 scores of 0.785 and 0.964 respectively. The test of Dyscalculia includes a facial emotion recognition model alongside a response-time-based math quiz and a parental questionnaire. DysDiag was tested on 40 children consisting of a case group of pre-diagnosed children (n=20, mean age=6yrs) and a control group (n=20, mean age=7yrs). The children were tested by a registered medical professional followed by DysDiag’s screening tests. DysDiag recorded a sensitivity and specificity of 90%, a Positive Predictive Value of 94.73%, and a Negative Predictive Value of 90.47%. DysDiag was also reviewed and rated by 15 psychologists and pediatricians. DysDiag proved to be a clinically viable tool that can aid in the early identification and mass screenings for LDs at elementary schools.
Published by: Spurti Nimbali
Author: Spurti Nimbali
Paper ID: V9I5-1166
Paper Status: published
Published: October 12, 2023
Assessment of cybercrime investigations in forensic medicine
"Assessment of Cybercrime Investigations in Forensic Medicine" is an interesting and relevant topic that intersects the fields of cybercrime, digital forensics, and forensic medicine. Here's a breakdown of how you could structure your paper presentation on this topic:
Published by: Dr. G. Panneer Selvam
Author: Dr. G. Panneer Selvam
Paper ID: V9I5-1163
Paper Status: published
Published: October 12, 2023
A study to assess the effectiveness of a structured teaching program on knowledge regarding HIV-AIDS among the students of selected JR. College in Aurangabad city.
India is one of the largest and most populated countries in the world, with over one billion inhabitants of this number, it’s estimated that around 2.5 million people are currently living with HIV. One group pre-test and post-test design was used in this study. A purposive sampling technique was used to select 60 Jr. College students. Based on the objective collected data was analyzed by using descriptive and inferential statistics like mean, median, standard deviation, paired t-test, and chi-square test. An analysis finding depicts that the corresponding p<0.05, so the null hypothesis is rejected. The change in the post-test knowledge score (23.76) of Jr. College students is significantly higher than the pre-test score (15.73). The structured teaching program is proven an effective method to improve the knowledge of Jr. College students regarding HIV-AIDS. The study also had a significant association between knowledge score and Age and other variables are not significant.
Published by: Shaikh Ateeq Ahmed
Author: Shaikh Ateeq Ahmed
Paper ID: V9I5-1171
Paper Status: published
Published: October 12, 2023
