A Novel Heart Disease Prediction System using Deep Multi-Layer Perceptron and Optimal Feature Selection Mechanism

Diagnosis and prognosis of heart disease (HD) are essential medical tasks for a correct classification, which helps cardiologists to treat the patient properly. The current medical system is unable to obtain the entire information from the heart disease database. It is difficult for a physician to analyze and diagnose chronic disease because it is a challenging endeavor. Hence this paper proposes a novel weight and bias tune deep multi-layer perceptron for heart disease prediction (WBTDMLP) with optimal feature selection using modified random forest (MRF). The proposed system comprised ‘3’ phases such as data preprocessing, feature selection, and HD prediction. Initially the HD prediction data is collected from the Cleveland dataset and the missing value imputation and data normalization is applied on the dataset to preprocess the dataset. Following that, the feature selection was performed by using the MRF algorithm. Finally, the HD prediction is done based on WBTDMLP approach and the parameters are tuned by Sobel sequence with Brownian random walk-based dragonfly optimization algorithm (SSBRWDOA). The results indicate that the proposed approach reaches 97.89% accuracy, which is relatively higher than existing methods

Adoption of Recommended Package of Practices of Chickpea Varieties (JG-11 and JAKI 9218) in Dharwad District of Karnataka, India

Chickpea (Cicer arietinum L.) is mainly a rabi season crop of India grown in diverse agroclimatic conditions under various cropping systems and a major pulse crop in Karnataka state. JG-11 and JAKI-9218 are two prominent chickpea varieties cultivated by farmers in Dharwad district along with Annigeri-1 (local variety). The study throws light on profile characteristics and level of adoption of recommended package of practices of the above chickpea varieties. The study was conducted in Dharwad, Navalgund and Kundagol taluks of Dharwad district of Karnataka state during 2020-21 with a sample of 135 chickpea farmers. “Ex-post facto” research design was employed for the study. The data was elicited through personal interview method. Nearly half (48.89 %) of chickpea farmers belonged to low adoption category of recommended chickpea package of practices followed by medium (36.30 %) and high (14.81 %) categories. The probable reasons for low to medium adoption of recommended practices because majority of the farmers are not aware of the recommended package of practices and also farmers expressed disbelief towards the recommended package of practices because if they practice other methods, they have a fear of losing the yield.&nbsp

Switching in the expression pattern of actin isoforms marks the onset of contractility and distinct mechanodynamic behavior during cardiomyocyte differentiation

Abstract Differentiation of cardiac progenitor cells (CPC) into cardiomyocytes is a fundamental step in cardiogenesis, which is marked by changes in gene expression responsible for remodeling of the cytoskeleton and in altering the mechanical properties of cells. Here we have induced the differentiation of CPC derived from human pluripotent stem cells into immature cardiomyocytes (iCM) which we compare with more differentiated cardiomyocytes (mCM). Using atomic force microscopy and real‐time deformability cytometry, we describe the mechanodynamic changes that occur during the differentiation process and link our findings to protein expression data of cytoskeletal proteins. Increased levels of cardiac‐specific markers as well as evolution of cytoskeletal morphology and contractility parameters correlated with the expected extent of cell differentiation that was accompanied by hypertrophic growth of cells. These changes were associated with switching in the balance of the different actin isoforms where β‐actin is predominantly found in CPC, smooth muscle α‐actin is dominant in iCM cells and sarcomeric α‐actin is found in significantly higher levels in mCM. We link these cytoskeletal changes to differences in mechano‐dynamic behavior of cells that translate to changes in Young's modulus that depend on the cell adherence. Our results demonstrate that the intracellular balance of actin isoform expression can be used as a sensitive ruler to determine the stage of differentiation during early phases of cardiomyocyte differentiation that correlates with an increased expression of sarcomeric proteins and is accompanied by changes in cellular elasticity

Data set for the mass spectrometry based exoproteome analysis of Aspergillus flavus isolates

Aspergillus flavus is one of the predominant causative organisms of mycotic keratitis in tropical parts of the world. Extracellular proteins are the earliest proteins that come in contact with the host and have a role in the infection process. Exoproteins of A. flavus isolated from infected cornea, sputum and a saprophyte were pooled and identified using high resolution mass spectrometry in order to get the total exoproteome from cultures isolated from different sources. A total of 637 proteins was identified from the pooled A. flavus exoproteome. Analysis based on GO annotations of the 637 identified proteins revealed that hydrolases form the predominant class of proteins in the exoproteome. Interestingly, a greater proportion of the exoproteins seem to be secreted through the non-classical pathways. This data represent the first in-depth analysis of the representative A. flavus exoproteome of a large set of isolates from distinct sources. This data have been deposited to the ProteomeXchange with identifier PXD001296