Microbial Degradation of Recalcitrant Compound

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Design of Electric Vehicle

The aim of this thesis work 'Design of electric vehicle including different power train components' is to design an energy model of electric vehicle including different power train components with the application of a design and simulation tool, which in this thesis work would be MATLAB Simulink software. With this design and simulation, we expect to find the energy consumption by a vehicle by virtue of different types of forces acting on vehicle when subjected to different standard driving cycles. This work also includes a survey of different vehicles which runs on electric propulsion either only or in assisted mode in the present market

My View is the Best View: Procedure Learning from Egocentric Videos

Procedure learning involves identifying the key-steps and determining their logical order to perform a task. Existing approaches commonly use third-person videos for learning the procedure, making the manipulated object small in appearance and often occluded by the actor, leading to significant errors. In contrast, we observe that videos obtained from first-person (egocentric) wearable cameras provide an unobstructed and clear view of the action. However, procedure learning from egocentric videos is challenging because (a) the camera view undergoes extreme changes due to the wearer's head motion, and (b) the presence of unrelated frames due to the unconstrained nature of the videos. Due to this, current state-of-the-art methods' assumptions that the actions occur at approximately the same time and are of the same duration, do not hold. Instead, we propose to use the signal provided by the temporal correspondences between key-steps across videos. To this end, we present a novel self-supervised Correspond and Cut (CnC) framework for procedure learning. CnC identifies and utilizes the temporal correspondences between the key-steps across multiple videos to learn the procedure. Our experiments show that CnC outperforms the state-of-the-art on the benchmark ProceL and CrossTask datasets by 5.2% and 6.3%, respectively. Furthermore, for procedure learning using egocentric videos, we propose the EgoProceL dataset consisting of 62 hours of videos captured by 130 subjects performing 16 tasks. The source code and the dataset are available on the project page https://sid2697.github.io/egoprocel/.Comment: 25 pages, 6 figures, Accepted in European Conference on Computer Vision (ECCV) 202

A Study to Compare Major Adverse Cardiac Event in Patient Undergoing PCI with Drug Eluting Stents Vs Bare Metal Stents

This study compared Major Adverse Cardiac Event in patient with Acute Coronary Syndromes undergoing PCI with Drug Eluting Stents Vs Bare Metal Stents. A retrospective, observational study was carried out in an inpatient setting of the private tertiary care hospital. Patients with >18 years, diagnosed for Acute Coronary Syndromes (ACS), required intervention in coronary artery with implantation of Drug Eluting Stents (DES) or Bare Metal Stents (BMS) were recruited in the study. The data had been collected from file or database of the hospital. All subjects were followed for major adverse cardiac event. Result. A total of 202 patients who underwent percutaneous coronary intervention (PCI) were enrolled into DES group (N=101) and BMS group (N=101). All patients were followed up at 1 month, 3 months, 6 months & 12 months for Major Adverse Cardiac Events (MACE). Clinical outcomes during 12 months were compared between DES group & BMS group. There was no significant difference in baseline parameters including demographic, risk factors of ACS, diagnosis, angiographic parameters between both groups. Overall MACE rates were reported non-significantly high in BMS group patients (14.85%) compare to DES group patients (8.91%) (P=0.458). However, DES group had lower rates of death (0.99% vs 1.98%, P=0.57), rate of MI (3.96% vs 4.95% P=0.73), rate of revascularization (1.98% vs 3.96% p=0.42) & rate of sub acute thrombosis (1.98% vs 3.96% P=0.42) and higher rate of bleeding (1.98% vs 0.99% p=0.57) compare to cohort-II. Conclusion. The use of DES in the setting of Acute Coronary Syndrome is associated with lower Major Adverse Cardiac Event (MACE) rate compared to BMS without compromising the overall safety over the course of one-year follow-up. The long-term safety of drug-eluting stents needs to be ascertained in large, randomized trials

Drug utilization pattern in type II diabetes mellitus patients attending non-communicable disease clinic in a tertiary care hospital

Background: Diabetes mellitus is a metabolic disorder. Early institution of treatment is necessary to prevent complications. Since treatment of diabetes requires lifetime therapy; this study is designed to understand the prescription trends at Non Communicable Disease clinic set up and to provide rationale.Methods: This cross-sectional, observational study was conducted over a period of 2 months (May 2017- June 2017). Details of demographic data, duration and family history of diabetes, antidiabetic medications prescribed, history of comorbid diseases and drugs prescribed by physician for the treatment of comorbid diseases were collected in a structured format. Height and weight were recorded, and body mass index was calculated.Results: Study population included 294 patients and patients in the age groups of 40-59 years formed the bulk. 39% patients were overweight and 19.39% were obese. 93.20% patients were prescribed with metformin. 37 patients received insulin injection. 64.29% received more than one antidiabetic drug. Hypertension (82.05%) was the most common comorbid disease. Amlodipine was the most commonly prescribed antihypertensive drug.Conclusions: Metformin was the most commonly prescribed antidiabetic drug. Utilization of newer antidiabetic drug is inferior. Use of rationale fixed dose combination improves patient compliance

Remaining Flying Time Prediction Implementing Battery Prognostics Framework for Electric UAV's

In this paper the problem of building trust in the online safety prediction of an fixed wing small electric unmanned aerial vehicles (e-UAV) for remaining flying time is addressed. A series of flight tests are described to verify the performance of the remaining flying time prediction algorithm. The estimate of remaining flying time is used to activate an alarm when the predicted remaining time falls below a threshold of two minutes. This updates the pilot to transition to the landing sequence of the flight profile. A second alarm is activated when the battery state of charge (SOC) falls below a specified safety limit threshold. This SOC threshold is the point at which the battery energy reserve would no longer safely support enough aborted landing attempts. During the test flights, the motor system is operated with the same predefined timed airspeed profile for each test. To test the robustness of the developed prediction algorithm, partial tests were performed with and remaining were performed without a simulated power train fault. To simulate a partial power train fault in the e-UAV the pilot engages a resistor bank at a specified time during the test flight. The flying time prediction system is agnostic of the pilot's activation of the fault and must adapt to the vehicle's state. The time at which the limit threshold on battery SOC is reached, it is then used to measure the accuracy of the remaining flying time predictions. This is demonstrated through comparing results from two battery models being developed. Accuracy requirements for the alarms are considered and the results discussed

Free energies of membrane stalk formation from a lipidomics perspective

Many biological membranes are asymmetric and exhibit complex lipid composition, comprising hundreds of distinct chemical species. Identifying the biological function and advantage of this complexity is a central goal of membrane biology. Here, we study how membrane complexity controls the energetics of the first steps of membrane fusions, that is, the formation of a stalk. We first present a computationally efficient method for simulating thermodynamically reversible pathways of stalk formation at coarse-grained resolution. The method reveals that the inner leaflet of a typical plasma membrane is far more fusogenic than the outer leaflet, which is likely an adaptation to evolutionary pressure. To rationalize these findings by the distinct lipid compositions, we computed ~200 free energies of stalk formation in membranes with different lipid head groups, tail lengths, tail unsaturations, and sterol content. In summary, the simulations reveal a drastic influence of the lipid composition on stalk formation and a comprehensive fusogenicity map of many biologically relevant lipid classes