Birla Institute of Technology, Mesra

About: Birla Institute of Technology, Mesra is a education organization based out in Ranchi, India. It is known for research contribution in the topics: Computer science & Dielectric. The organization has 2801 authors who have published 4789 publications receiving 52426 citations. The organization is also known as: BIT.

Early and accurate prediction of diabetics based on FCBF feature selection and SMOTE

Abstract: Diabetes is a chronic hyperglycemic disorder. Every year hundreds of millions of people around the world have diabetes. The presence of irrelevant features and an imbalanced dataset are significant issues to train the model. The availability of patient medical records quantifies symptoms, body characteristics, and clinical laboratory test values that can be used in the study of biostatistics aimed at identifying patterns or characteristics that cannot be detected by current practice. This work proposes a machine learning-based healthcare model for accurate and early detection of diabetics. Five machine learning classifiers such as logistic regression, K-nearest neighbor, Naive Bayes, random forest, and support vector machine are used. Fast correlation-based filter feature selection is used to remove the irrelevant features. The synthetic minority over-sampling technique is used to balance the imbalanced dataset. The model is evaluated with four performance measuring matrices: accuracy, sensitivity, specificity, and area under the curve (AUC). An experimental outcome shows few relevant features are needed to enhance the accuracy of the developed model. The RF classifier achieves the highest accuracy, sensitivity, specificity, and AUC of 97.81%, 99.32%, 98.86%, and 99.35%.

Synthesis of poly(o‐phenylenediamine) nanofiber with novel structure and properties

Abstract: The poly(o-phenylenediamine) (PoPD) was synthesized from the monomer o-phenylenediamine in various organic solvent medium viz. dimethyl sulfoxide (DMSO), N,N-dimethyl formamide (DMF) and methanol using ammonium per sulfate as a radical initiator. The structure just like polyaniline derivative with free NH functional groups of the synthesized polymers confirmed by various standard characterizations was explained from the proposed polymerization mechanism. All the synthesized polymers were completely soluble in common organic solvent like DMSO and DMF because of the presence of polar free NH functional groups in its structure. The formation of polymer nanofiber by reverse salting-out process was confirmed, and the synthesized polymer in DMSO medium was the best polymer in terms of nano-morphology as well as conducting properties. Interestingly, the average DC conductivity of undoped polymer film was recorded as 2.21 × 10−6 Scm−1 because of induced doping through self charge separation. Moreover, the conductivity of the polymer film was further increased to 1.16 × 10−3 Scm−1 after doping by sulfuric acid. Copyright © 2016 John Wiley & Sons, Ltd.

Identification of calcium binding sites on calsequestrin 1 and their implications for polymerization

Abstract: Biophysical studies have shown that each molecule of calsequestrin 1 (CASQ1) can bind about 70–80 Ca2+ ions. However, the nature of Ca2+-binding sites has not yet been fully characterized. In this study, we employed in silico approaches to identify the Ca2+ binding sites and to understand the molecular basis of CASQ1–Ca2+ recognition. We built the protein model by extracting the atomic coordinates for the back-to-back dimeric unit from the recently solved hexameric CASQ1 structure (PDB id: 3UOM) and adding the missing C-terminal residues (aa350–364). Using this model we performed extensive 30 ns molecular dynamics simulations over a wide range of Ca2+ concentrations ([Ca2+]). Our results show that the Ca2+-binding sites on CASQ1 differ both in affinity and geometry. The high affinity Ca2+-binding sites share a similar geometry and interestingly, the majority of them were found to be induced by increased [Ca2+]. We also found that the system shows maximal Ca2+-binding to the CAS (consecutive aspartate stretch at the C-terminus) before the rest of the CASQ1 surface becomes saturated. Simulated data show that the CASQ1 back-to-back stacking is progressively stabilized by the emergence of an increasing number of hydrophobic interactions with increasing [Ca2+]. Further, this study shows that the CAS domain assumes a compact structure with an increase in Ca2+ binding, which suggests that the CAS domain might function as a Ca2+-sensor that may be a novel structural motif to sense metal. We propose the term “Dn-motif” for the CAS domain.