A Comprehensive Study on Metaheuristic Techniques Using Genetic Approach

Most real-life optimization problems involve multiple objective functions. Finding  a  solution  that  satisfies  the  decision-maker  is  very  difficult  owing  to  conflict  between  the  objectives.  Furthermore,  the  solution  depends  on  the  decision-maker’s preference.  Metaheuristic solution methods have become common tools to solve these problems.  The  task  of  obtaining  solutions  that  take  account  of  a  decision-maker’s preference  is  at  the  forefront  of  current  research.  It  is  also  possible  to  have  multiple decision-makers with different preferences and with different  decision-making  powers. It may not be easy to express a preference using crisp numbers. In this study, the preferences of multiple decision-makers were simulated  and  a solution based on  a genetic  algorithm was  developed  to  solve  multi-objective  optimization  problems.  The  preferences  were collected  as  fuzzy  conditional  trade-offs  and  they  were  updated  while  running  the algorithm interactively with the decision-makers. The proposed method was tested using well-known benchmark problems.  The solutions were found to converge around the Pareto front of the problems

Ras hyperactivation versus overexpression : Lessons from Ras dynamics in Candida albicans

We thank Prof. Neta Dean for the CIp10ADH1-Cherry plasmid and Prof. Aaron Mitchell for the BWP17 strain. We gratefully acknowledge Prof. Sudipta Maiti, TIFR, Mumbai, India for providing the data acquisition software. We also appreciate the feedback and discussions with Dr. Rohini Muthuswami, SLS, JNU as well as from the Protein Society group, New Delhi while this study was taking shape. We thank Prof. Alok Bhattacharya for Cytochalasin D. The GC-MS and fluorescence lifetime measurements were carried out at the Advanced Instrumentation Research Facility (AIRF), JNU. Confocal images were recorded either at the central instrumentation facility (CIF), SLS, JNU or at AIRF, JNU. This work was supported by project grants from Department of Biotechnology (DBT, Project grant no. BT/PR20410/BRB/10/1542/2016) and Department of Science and Technology (DST, Project grant no. SB/SO/BB-011/2014), India to S.S.K; and project grants from Department of Information Technology, (DIT, Project grant no. 12(4)/2007-PDD), India to S.S. for FCS setup. In addition, both S.S. and S.S.K. thank DBT-BUILDER for funding support (Project grant no. BT/PR5006/INF/153/2012). S.S.K. also acknowledges funding support from UGC Resource Networking grant to the School of Life Sciences. We thank DST-PURSE and JNU for assistance with funding for publication. G.S.V. and S.C.S. received a fellowship from UGC; V.A.P., B.Y., P.J., N.P., M.F.K. acknowledge CSIR for fellowships. S.L.S. received a fellowship from ICMR. D.T.H. and M.F.K. thank DBT-BUILDER for funding.Peer reviewedPublisher PD

When Recurrent deep vein thrombosis is beyond only a clot- May-Thurner Syndrome

May-Thurner syndrome (MTS), also known as iliac vein compression syndrome which results in luminal narrowing and intimal hyperplasia, which predispose to venous stasis and recurrent deep vein thromboembolism (DVT). We present a 32-year-old woman with MTS who developed recurrent deep venous thromboses despite undergoing thrombectomy and being on recommended anticoagulation

Hypoglossal Nerve Stimulator Explantation: A Case Series

Hypoglossal nerve stimulation (HGNS) has emerged as a successful surgical treatment strategy for moderate to severe obstructive sleep apnea in patients failing first-line positive airway pressure therapy. HGNS explantation due to adverse events such as pain and infection is rare and has yet to be well described. Here, our correspondence describes the first case series of patients who have undergone explantation of the Inspire HGNS system. Five patients were identified who underwent HGNS explantation. Three patients underwent explantation due to magnetic resonance imaging (MRI) incompatibility. One patient underwent explantation due to poor cosmesis. One patient underwent explantation due to surgical site infection. Average operative explant time was 163 minutes. MRI incompatibility, poor cosmesis, and device-related infection are reasons for HGNS explantation. Future need for MRI or chest wall surgery should be considered in patients being evaluated for HGNS implants

Association Between the 7-Day Moving Average for Nutrition and Growth in Very Low Birth Weight Infants.

BACKGROUND: Very low birth weight (VLBW) infants remain at risk for postnatal growth restriction. Clinicians may have difficulty identifying growth patterns resulting from nutrition interventions, impeding prompt management changes intended to increase growth velocity. This study aimed to quantify the association between growth and nutrition intake through 7-day moving averages (SDMAs). METHODS: The first 6 weeks of daily nutrition intake and growth measurements were collected from VLBW infants admitted to a level 4 neonatal intensive care unit (2011-2014). The association between SDMA for energy and macronutrients and subsequent 7-day growth velocities for weight, length, and head circumference were determined using mixed effects linear regression. Analyses were adjusted for fluid intake, infant characteristics, and comorbid conditions. RESULTS: Detailed enteral and parenteral caloric provisions were ascertained for 115 infants (n = 4643 patient-days). Each 10-kcal/kg/d increase over 7 days was independently associated with increased weight (1.7 g/kg/d), length (0.4 mm/wk), and head circumference (0.9 mm/wk; P \u3c .001, for weight and head circumference; P = .041 for length). Each 1 g/kg/d macronutrient increase was also associated with increased weight (protein, P = .027; fat and carbohydrates, P \u3c .001), increased length (fat, P = .032), and increased head circumference (fat and carbohydrates, P \u3c .001). CONCLUSIONS: The SDMA identifies clinically meaningful associations among total energy, macronutrient dosing, and growth in VLBW infants. Whether SDMA is a clinically useful tool for providing clinicians with prompt feedback to improve growth warrants further attention

Delivery system can vary ventilatory parameters across multiple patients from a single source of mechanical ventilation.

BackgroundCurrent limitations in the supply of ventilators during the Covid19 pandemic have limited respiratory support for patients with respiratory failure. Split ventilation allows a single ventilator to be used for more than one patient but is not practicable due to requirements for matched patient settings, risks of cross-contamination, harmful interference between patients and the inability to individualize ventilator support parameters. We hypothesized that a system could be developed to circumvent these limitations.Methods and findingsA novel delivery system was developed to allow individualized peak inspiratory pressure settings and PEEP using a pressure regulatory valve, developed de novo, and an inline PEEP 'booster'. One-way valves, filters, monitoring ports and wye splitters were assembled in-line to complete the system and achieve the design targets. This system was then tested to see if previously described limitations could be addressed. The system was investigated in mechanical and animal trials (ultimately with a pig and sheep concurrently ventilated from the same ventilator). The system demonstrated the ability to provide ventilation across clinically relevant scenarios including circuit occlusion, unmatched physiology, and a surgical procedure, while allowing significantly different pressures to be safely delivered to each animal for individualized support.ConclusionsIn settings of limited ventilator availability, systems can be developed to allow increased delivery of ventilator support to patients. This enables more rapid deployment of ventilator capacity under constraints of time, space and financial cost. These systems can be smaller, lighter, more readily stored and more rapidly deployable than ventilators. However, optimizing ventilator support for patients with individualized ventilation parameters will still be dependent upon ease of use and the availability of medical personnel