Performance Analysis of Various Routing Protocols in 3D Body Architecture using Qualnet in WBSN

Wireless Body Sensor Network (WBSN) is a connectionless architecture used to monitor health of a patient or an athlete. Various routing strategies have been proposed to increase the network lifetime. In this work, we have compared some well known ad-hoc network routing protocols like DYMO, DSR, ZRP and LAR1 in WBSN. WBSN works in a small area like Bluetooth or Zigbee. Few gateway nodes are also considered to route the traffic. The simulations have been performed using Qualnet 6.1. Various parameters like jitter, throughput, end to end delay, packet delivery ratio has been used for comparison. Results revealed that ZRP have least end to end delay (0.2) and jitter (0.1), but have low throughput i.e. 2362 b/s as compared to DYMO and DSR i.e. 2752 b/s and 3026 b/s

Elucidating Signal Transduction Modulatory Drug Target Network of Colon Cancer: A Network Biology Approach

Latest evaluation and validation of cancer drugs and their targets has demonstrated the lack and inadequate development of new and better drugs, based on available protocols. Even though the specificity of drug targets is a great challenge in the pharmaco-proteomics field of cancer biology, for eradicating such hurdles and paving the way for the drugs of future, a novel step has been envisaged here to study the relation between drug target network and the corresponding drug network using the advanced concepts of proteomics and network biology. The literature mining was done for the collection of receptors and the ligands. About 1000 natural compounds were collected and out of those 300 molecules showed anti-cancer activity against colon cancer. Ligand Vs multiple receptor docking was done using the software Quantum 3.3.0; the results were further used for the designing of a well connected Protein Ligand Interaction (PLI) network of colon cancer. The obtained network is then extrapolated to sort out the receptors expressed in the specific cancer type. The network is then statistically analyzed and represented by the graphical interpretation, in order to ascertain the hub nodes and their locally parsed neighbours. Based on the best docking scores, the graphs obtained from the docking analysis are statistically validated with the help of VisANT. In the network three hub nodes Neutrophil cytosol factor 2, UV excision repair protein RAD23 homolog A, & Receptor-type tyrosine-protein phosphatase eta were identified, which showed the highest interaction with the ligands. Butyrate and Farnesol showed highest interaction as ligands. Multiple Sequence Alignment was done of the binding site sequence of the drug targets to find out the evolutionary closeness of the binding sites. The phylogenetic tree was also constructed to further validate the observation. Further in-vitro and in-vivo studies needs to be done to analyse the receptor specificity and anti tumor activity of these compounds in Colon cancer

Visualization for Histopathology Images using Graph Convolutional Neural Networks

With the increase in the use of deep learning for computer-aided diagnosis in medical images, the criticism of the black-box nature of the deep learning models is also on the rise. The medical community needs interpretable models for both due diligence and advancing the understanding of disease and treatment mechanisms. In histology, in particular, while there is rich detail available at the cellular level and that of spatial relationships between cells, it is difficult to modify convolutional neural networks to point out the relevant visual features. We adopt an approach to model histology tissue as a graph of nuclei and develop a graph convolutional network framework based on attention mechanism and node occlusion for disease diagnosis. The proposed method highlights the relative contribution of each cell nucleus in the whole-slide image. Our visualization of such networks trained to distinguish between invasive and in-situ breast cancers, and Gleason 3 and 4 prostate cancers generate interpretable visual maps that correspond well with our understanding of the structures that are important to experts for their diagnosis.Comment: 5 pages, 3 Figure

A comparative study of propofol and N2O versus sevoflurane and N2O with respect to haemodynamic response and ease of laryngeal mask airway insertion: a prospective randomized double blinded study

Background: Laryngeal mask airway (LMA) is an accepted airway device for spontaneous and modest positive pressure ventilation. Propofol is widely used Induction agent. Sevoflurane is a newer pleasant volatile anaesthetic with rapid induction and recovery with stable haemodynamics. The aim of this study was to compare propofol and sevoflurane with respect of haemodynamic changes and conditions for LMA insertion.Methods: This study was done on 60 female patients of ASA I, II grade between 20-60 years of age. Patients were randomized into two groups (n=30). All patients were preoxygenated and received inj. fentanyl 2µg/kg. Induction agent was propofol 2.5mg/kg (group P) or sevoflurane 8% with vital capacity breath (group S). Loss of eyelash reflex was the end point of induction. Induction time, conditions for LMA insertion, number of attempts, time of successful LMA insertion and haemodynamic parameters were noted.Results: time for induction and LMA insertion was significantly faster in propofol group than group S (p<0.05). Successful LMA insertion in first attempt was 100% in group P with excellent conditions (score 18) while in group S, it was 86.7% with excellent to satisfactory conditions (score 16-17). A significant fall in mean arterial pressure (p<0.05) was noted in group P while pulse rates were comparable in both groups.  Conclusions: Sevoflurane vital capacity breath inhalational induction can be used as an effective alternative to propofol though it requires greater time for LMA insertion but with better haemodynamic stability.

SYNTHESIS, SPECTRAL, AND PHARMACOLOGICAL EVALUATION OF 3 AND 5 SUBSTITUTED 2,4-THIAZOLIDINEDIONE DERIVATIVES

Background: 2,4-Thiazolidinedione derivatives was launched as antidiabetics in 90's. Later the derivatives of 2,4-thiazolidinedione were banned due to hepatotoxicity. To the date, much research has been directed toward the synthesis and novel uses of 2,4-thiazolidinedione compounds.Aim: The aim of the present study is to synthesize a set of 3,5-disudstituted-2,4-thiazolidinediones as antimicrobial. These compounds were evaluated for their antimicrobial activity.Method: First, the 2,4-thiazolidinedione was substituted at the position of 3 using sodium hydroxide and ethanol and then substituted at the position of 5 in the presence of piperdine by the Knoevenagel condensation method. The structures of the compounds were established on the basis of infrared and nuclear magnetic resonance spectral studies.Result: 3,5-disubstituted-5-benzylidine-2,4-thiazolidinediones derivative was synthesized using benzyl halides and aromatic aldehydes. The results obtained showed that TZ-1 exhibited good activity against Bacillus subtilis while no activity against Escherichia coli.Conclusion: Attachment of more heterocyclic rings containing Nitrogen on the 3rd position of 2,4-thiazolidinedione can enhance the antimicrobial activity. Addition of more lipophilic agents may increase the bioavailability and efficacy of the drug. Long alkyl chains on the benzylidene ring can also increase the lipophilic character, and further attachment of these kind of agents on benzylidene chain may produce safe and effective compounds in future