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Papers presented at a conference held in 2005 in Thiruvananthapuram, Kerala, India ; articles with reference to Kerala, India.

Electrocardiograms (ECG) are extensively used for the diagnosis of cardiac arrhythmias. This paper investigates the use of machine learning classification algorithms for ECG analysis and arrhythmia detection. This is a crucial component of a conventional electronic health system, and it frequently necessitates ECG signal reduction for long-term data storage and remote transmission. Signal processing methods must be used to extract the function of the morphological properties of the ECG signal changing with time, which is difficult to discern in the typical visual depiction of the ECG signal. In biomedical research, signal processing and data analysis are commonly employed methodologies. This work proposes the use of an ECG arrhythmia classification method based on Fast Fourier Transform (FFT) for feature extraction and an improved AlexNet classifier to distinguish the difference between four types of arrhythmia conditions that were collected from records. The Convolutional Neural Network (CNN) algorithm’s results are compared to those of other algorithms, and the simulation results prove that the proposed technique is more effective for various parameters. The final results of the proposed system show that its ability to find deviations is 20% better than that of traditional systems.

In conventional modern vehicles, the Internet of Things-based automotive embedded systems are used to collect various data from real-time sensors and store it in the cloud platform to perform visualization and analytics. The proposed work is to implement computer vision-aided vehicle intercommunication V2V (vehicle-to-vehicle) implemented using the Internet of Things for an autonomous vehicle. Computer vision-based driver assistance supports the vehicle to perform efficiently in critical transitions such as lane change or collision avoidance during the autonomous driving mode. In addition to this, the main work emphasizes observing multiple parameters of the In-Vehicle system such as speed, distance covered, idle time, and fuel economy by the electronic control unit are evaluated in this process. Electronic control unit through brake control module, powertrain control module, transmission control module, suspension control module, and battery management system helps to predict the nature of drive-in different terrains and also can suggest effective custom driving modes for advanced driver assistance systems. These features are implemented with the help of the vehicle-to-infrastructure protocol, which collects data through gateway nodes that can be visualized in the IoT data frame. The proposed work involves the process of analyzing and visualizing the driver-influencing factors of a modern vehicle that is in connection with the IoT cloud platform. The custom drive mode suggestion and improvisation had been completed with help of computational analytics that leads to the deployment of an over-the-air update to the vehicle embedded system upgradation for betterment in drivability. These operations are progressed through a cloud server which is the prime factor proposed in this work.

Background Learning disabilities occur in very young children, yet they are usually not noticed until the child reaches school age. These issues can affect the child's ability to perform activities of daily living and their ability to learn including academic activities. Occupational therapy can assist with improving their ability to learn which will also help their performance at school. Aims and objectives The present study was designed to investigate the impact of interoceptive programs on improving academic self-regulation and reducing behavioral problems among children with learning disabilities. The objectives of the study were to determine a learning disability through the use of the Learning Disability Checklist. The Academic Self-Regulation Questionnaire for Learning Disability (SRQ-A LD) was used to assess the degree of academic self-regulation, while the Behavior Rating Inventory for Executive Functioning-2 (BRIEF-2) was used to assess the degree of behavioral problems. The primary objective was to evaluate the efficacy of interoceptive programs to enhance academic self-regulation and lessen behavioral issues in the experimental group, as well as to find out the impact of conventional occupational therapy for children with learning disabilities in the control group. Methodology This was a quasi-experimental design with convenience sampling and selected samples (n=50), which were then split into two groups, an experimental group (n=25) and a control group (n=25), based on the inclusion and exclusion criteria. The experimental group received intervention based on interoception activities, while the control group received conventional occupational therapy. A pre-test and post-test were conducted to measure the changes. The study assessed 50 children in the range of 7 to 11 years, using an initial Madras Dyslexia Association Checklist. Academic self-regulation was assessed using SRQ-A LD. Behaviors were assessed using BRIEF-2. The duration of the study was six months, three sessions per week, lasting 45 minutes to an hour each. The statistical analysis was done with significance at a 1% alpha level using IBM SPSS version 29.0 (Armonk, NY: IBM Corp). Results The pre-test and post-test data were analyzed using the Wilcoxon signed-rank test and the Mann-Whitney test. The study found that the interoceptive program had an impact on academic self-regulation and behavioral problems among children with learning disabilities. The p-value of academic self-regulation was <0.001, and the p-value of the behavior rating inventory was <0.001, the alternate hypothesis was accepted. Thus, the results showed significant improvement in academic self-regulation and behavioral problems in the experimental group compared to the control group. Conclusion The results of the study showed that the Interoceptive program helped children with learning disabilities improve their academic self-regulation and have fewer behavioral issues. Interoception can positively regulate their behavior. For this reason, the primary therapeutic approach for children with learning disabilities can be the implementation of Interoceptive activities.

This study was conducted to estimate and compare inorganic salivary calcium, phosphate, magnesium, salivary flow rate, and pH of unstimulated saliva and oral hygiene status of healthy subjects, subjects with periodontitis and dental caries, and to correlate salivary calcium level with number of intact teeth. The study population consisted of 48 systemically healthy subjects in the age group of 18-55 years, which was further divided into three groups: healthy, periodontitis, and dental caries. Oral hygiene index-simplified, probing pocket depth, clinical attachment level, the number of intact teeth, and active carious lesions were recorded. Estimation of inorganic salivary calcium, phosphate, and magnesium was performed spectrophotometrically using Vitros 5.1 FS. Statistical analysis was performed using the one-way analysis of variance test at 5% significance level. There was a statistically significant increase in inorganic salivary calcium, phosphate, pH, flow rate, and poor oral hygiene status in periodontitis group compared to dental caries and healthy group. Subjects with increased inorganic salivary calcium, phosphate, pH, flow rate, and poor oral hygiene are at a higher risk of developing periodontitis. Since there is increased remineralization potential, these subjects have more number of intact teeth compared to the dental caries group.

BACKGROUND: Relationship among periodontitis, obesity, and chronic diseases may be multidirectional. Inflammatory diseases such as periodontitis induce the production of pro-inflammatory cytokines such as TNF-α, IL-1, and IL-6. It has been suggested that the secretion of TNF-α by adipose tissue triggered by lipopolysaccharides from periodontal Gram-negative bacteria promotes hepatic dyslipidemia and decreases insulin sensitivity. AIM: To study the association of obesity with the severity of periodontitis and to compare the blood glucose levels and plasma lipid profile in obese and non-obese subjects with chronic periodontitis. METHODOLOGY: A total of 84 systemically healthy subjects, aged 30-60 years, were included in the study. Periodontal status of the subjects was assessed by recording Community Periodontal Index (CPI) and Gingival Index (Loe and Silness, 1963). Body mass index (BMI) and waist circumference (WC) were used as measures to assess obesity. The fasting plasma lipids level and fasting blood glucose level were measured. Data were analyzed by unpaired 't'test, Fisher's Exact test, and Chi-square test. RESULTS: There was a statistically significant difference in Gingival Index and Community Periodontal Index between the obese and non-obese group. Total cholesterol, triglycerides, and low-density lipoprotein (LDL) levels showed significant difference between the two groups. There was no statistically significant difference in mean age, high-density lipoprotein (HDL) levels, and fasting blood glucose levels between the two groups. CONCLUSION: The present study showed a positive association between obesity and chronic periodontitis. Further long-term studies involving larger sample size are required to confirm this association.

Background Menstruation is a biological process experienced by women every month. This project intends to improve menstrual hygiene skills using video modeling with simulation. Educating adolescent girls with autism spectrum disorder to engage in personal care during their menstrual cycle, particularly sanitation and hygiene, is essential. It is important to develop the knowledge and skills necessary for effective self-care during menstruation to prevent sexual health problems. Additionally, the project aims to provide a safe environment for adolescents to practice their menstrual hygiene routines and relieve the stress from their caregivers. Aim and objective The study aims to evaluate the effect of video modeling with simulation to improve menstrual hygiene skills in adolescents with autism. The ultimate objective of the study is to determine whether video modeling with simulation in the experimental group enhances the practice of menstrual hygiene among adolescent girls with autism, as well as the impact of traditional occupational therapy intervention on improving menstrual hygiene in this population. Methodology This is a quasi-experimental design with convenience sampling and selected samples (n=50), who were then split into two groups: an experimental group (n=25) and a control group (n=25) based on the inclusion and exclusion criteria. The experimental group received video modeling and simulation, while the control group did not receive any specific intervention except parent education and pictorial representations. Pre- and post-tests were conducted to measure the changes. Indian Scale for Assessment of Autism was the screening tool used and the Menstrual Practice Needs Scale (MNPS) was administered. The duration of the study was six months, three sessions per week, lasting 45 minutes to an hour each. The statistical analysis was done with significance at a 1% alpha level using IBM SPSS Statistics for Windows, Version 26 (Released 2019; IBM Corp., Armonk, NY, USA). Results The pre-test and post-test data were analyzed using the Wilcoxon signed-rank test and the Mann-Whitney test. The results demonstrated the comparison of the pre-test and post-test mean scores of the MNPS scores were highly statistically significant (p-value of 0.000) when compared to the control group. Following the implementation of video modeling with simulation, the experimental group's post-test scores were significantly higher than the control group's (p-value of 0.000). Thus, the study showed that video modeling with simulation improved menstrual hygiene in adolescents with autism spectrum disorder. Conclusion The clinical significance of this study was that the adolescents were excited to watch the videos and perform the activities; furthermore, after video modeling with simulation was implemented, there was a significant improvement in the experimental group when compared to the control group. This enhances the practice of the menstrual hygiene skills independently by the adolescents. Video modeling with simulation has paved the way for improving menstrual hygiene in adolescents with autism. Although the findings from the study are positive, more clinical trials are needed to prove that video modeling with simulation can be used as a therapeutic modality.

This paper presents an experimental and numerical investigation of RCC (Reinforced Concrete) piles with helical grooves under axial and lateral loads in cohesionless soil. A set of experiments is carried out to assess the performance of RCC piles with helical grooves. To replicate the experimental findings, the Finite Element Method (FEM) is employed using Abaqus software. Three-dimensional (3D) models are created to represent both the pile and the soil using Abaqus. The paper compares settlement characteristics and lateral displacement of plain RCC piles and RCC piles with helical grooves. This study also evaluates the impact of varying the pitch of helical grooves on enhancing pile performance. The results indicate that RCC piles with helical grooves outperform plain RCC piles in terms of both axial and lateral load-carrying capacity, inferred from both experimental and analytical techniques.

The development of phosphorus-efficient crop cultivars boosts productivity while lowering eutrophication in the environment. It is feasible to improve the efficiency of phosphorus (P) absorption in lentils by enhancing phosphorus absorption through root architectural traits. The root architectural traits of 110 diverse lentil genotypes of Indian and Mediterranean origin were assessed, and the relationships between traits were investigated. In a hydroponics experiment, the lentil lines were examined at the seedling stage under two conditions: adequate P supply and deficient P supply. The Pearson correlation coefficients between root architectural traits and genetic diversity among lentil lines were assessed. To estimate variance components, a model (fixed factor) was used. In this experiment, both phosphorus (P) and genotype were fixed variables. Our lentil lines showed significant genetic variability and considerable genetic diversity for all traits under both treatments. The TRL (total root length) and PRL (primary root length) showed strong positive associations with all other characteristics excluding root average diameter (RAD) in both P treatments. In both P treatments, the RAD revealed a negative significant association with Total Root Tips (TRT), as well as total root volume (TRV) and total root forks (TRF) in the deficit conditions of P. Total root volume (TRV), total surface area (TSA), and total root tips had higher coefficient variance values. The first two principal components represented 67.88% and 66.19% of the overall variance in the adequate and deficit P treatments respectively. The Shannon-Weaver diversity index (H′) revealed that RAD, PRL, and TSA had more variability than TRT and TRF under both treatments. According to the Comprehensive Phosphorus Efficiency Measure (CPEM), the best five highly efficient genotypes are PLL 18-09, PLS 18-01, PLL 18-25, PLS 18-23, and PLL 18-07, while IG112131, P560206, IG334, L11-231, and PLS18-67 are highly inefficient genotypes. The above contrasting diverse lentil genotypes can be utilized to produce P-efficient lentil cultivars. The lentil germplasm with potentially favorable root traits can be suggested to evaluated for other abiotic stress to use them in crop improvement programme. The scientific breakthroughs in root trait phenotyping have improved the chances of establishing trait–allele relationships. As a result, genotype-to-phenotype connections can be predicted and verified with exceptional accuracy, making it easier to find and incorporate favourable nutrition-related genes/QTLs in to breeding programme.

Context: Dentinal hypersensitivity (DH) is a commonly encountered problem. Several products are used in management of DH with varying results. Need is felt in dentistry for a material that chemically reacts, physically occludes and adheres intimately to dentinal tubules to reduce the possibility of its recurrence. One such material is calcium sodium phosphosilicate-Novamin ® . Aim: To evaluate an efficacy of a 5% calcium sodium phosphosilicate (Novamin ® SHY NM TM ) containing dentifrice compared to placebo for the relief of DH. Settings and Design: Outpatients visiting Dept of Periodontics, Yenepoya Dental College with DH were deemed eligible for this case-control clinical trial after an informed consent. Materials and Methods: 30 patients having at least 2 sensitive teeth with a VAS (Visual Analogue Scale) of >3 cm after air blast stimulation, qualified to participate in the study. Test (SHY NM TM toothpaste containing 5% calcium sodium phosphosilicate) and control (Pepsodent toothpaste without a desensitizing agent) groups, each containing 15 participants, were subjected to cold water and air blast stimulation for an assessment of DH at baseline, 6 th and 8 th week using VAS. Statistical analysis used: Unpaired t-test and repeated measures ANOVA. Results: 5% Novamin ® containing dentifrice significantly reduced DH within 6 th and 8 th week of usage when compared to a placebo dentifrice. Conclusions: A Novamin ® containing dentifrice significantly reduced DH when compared to a placebo dentifrice.