20 research outputs found
A Modified Linear Integral Resonant Controller for suppressing jump-phenomenon and hysteresis in micro-cantilever beam structures
No full textCredit author statement James MacLean: developed the theory and performed the simulations. Sumeet S. Aphale: supervised the overall research, helped with theoretical development, presentation of results and document formatting.Peer reviewe
Co-Surgeons in Breast Reconstructive Microsurgery: What Do They Bring to the Table?
No full textAs the content in this document has been previously published in the journal Microsurgery, an internal indefinite embargo will be placed on this document through the department of Medical Student Research at UT Southwestern. This will ensure that this document will not be published online and will remain only within the UT Southwestern system to not infringe upon copyright regulations established between the authors and Microsurgery.The general metadata -- e.g., title, author, abstract, subject headings, etc. -- is publicly available, but access to the submitted files is restricted to UT Southwestern campus access and/or authorized UT Southwestern users.INTRODUCTION: Current research within other surgical specialties suggests that a co-surgeon approach may reduce operative times and complications associated with complex bilateral procedures, possibly leading to improved patient and surgical outcomes. We sought to evaluate the role of the co-surgery team and its development in free flap breast reconstruction.
METHODS: A retrospective review of free-flap breast reconstruction by two surgeons from 2011-2016 was conducted. We analyzed 128 patients who underwent bilateral-DIEP breast. Surgical groups were: single-surgeon reconstruction (SSR; 35 patients), Co-Surgery where both surgeons are present for entire reconstruction (CSR-I; 69 patients), and Co-Surgery reconstruction where co-surgeons appropriately assist in two concurrent or staggered cases (CSR-II; 24 patients). Efficiency data collected was OR time and patient length-of-stay (LOS). The rate of flap-failure, return to OR, infection, wound breakdown, seroma, hematoma and PE/DVT were compared.
RESULTS: Single-surgeon reconstruction had significantly longer OR time (678 vs 485 minutes, p< 0.0001), LOS (5 vs 3.9 days, p<0.001), higher wound occurrences of the umbilical site that required surgical correction [11.4 percent (n=4) versus 1.5 percent,(n=1); p<0.043] compared to CSR-I. Similarly, SSR had significantly longer average OR time (678 vs 527 minutes p< 0.0001), average LOS (5 days vs 4 days, p=0.0005) when compared to CSR-II. There were no total increased patient related complications associated with co-surgery (CSR- I or II).
CONCLUSION: The addition of a Co-surgeon, even with concurrent surgery, reduces operative time, average patient LOS, and post-operative complications. This work lends a strong credence that Co-surgery model is associated with increased operative efficiency
Studies on Size reduction of Rice
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
A dual-loop tracking control approach to precise nanopositioning
No full textThe author(s) received no financial support for the research, authorship, and/or publication of this article.Peer reviewe
Preparation and Study of the Nutritional Properties of Cereal Flakes with special reference to Oat Flakes
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Analysis and Design of Triple Band Compact Microstrip Patch Antenna with Fractal Elements for Wireless Applications
No full textAbstractThis paper presents the design of triple band compact microstrip patch antenna with fractal elements. The antenna has been designed on FR4 substrate with thickness 1.6mm, dielectric constant 4.4 and resonant frequency of antenna is 3.2GHz. Gain of antenna is improved by addition of fractal elements to the nine corners of the nonagon patch. Introduction of fractal elements improved the gain from 1.24dB to 7.96dB and miniaturization takes place due to the decrease in resonant frequency from 3.38GHz to 2.88GHz on increasing the iteration number. The three iterations of antenna is designed and simulated by using HFSS V13 software and the designed antennas covers the frequency bands of WLAN, WiMax and other wireless applications which comes under the frequency ranges of S-band, C-band and X-band
Multifaceted utilization of a cortical stimulator during tumor resection
No full textAbstractBackgroundNeurosurgeons use Ojemann cortical stimulators to map and localize cortical and subcortical regions of the brain to map functional areas intraoperatively to avoid resecting or damaging functional tissue. Here we describe a technique where, rather than using a separate retracting tool, a handheld Ojemann cortical stimulator was used to retract cerebral parenchyma while simultaneously stimulating descending white matter tracts to prevent accidental damage to white matter tracts involved with motor function.Case descriptionA 48-year-old patient developed intractable seizures and preoperative workup showed a left frontal brain mass close to her motor region. Subdural grid electrodes were implanted to localize the patient's ictal onset zone. The electrodes were then removed and the tumor was resected along with the ictal onset zone. During the resection, the neurosurgeon (S. Vadera) successfully utilized the Ojemann cortical stimulator to stimulate descending white matter tracts to prevent accidental injury to the patient and also retract cerebral parenchyma during resection. Four weeks post-operative, the patient had made a complete recovery and had no unforeseen deficits or weaknesses.ConclusionHere we show that the Ojemann cortical stimulator can be used as an effective retraction tool as well as a cerebral parenchyma stimulator, effectively preventing accidental injury to functional tissue while concurrently giving the neurosurgeon a free hand to perform other tasks
Modeling hard-disk power consumption
No full textRights to individual papers remain with the author or the author's employer. Permission is granted for noncommercial reproduction of the work for educational or research purposes. This copyright notice must be included in the reproduced paper. USENIX acknowledges all trademarks herein
Learning stabilizable nonlinear dynamics with contraction-based regularization
No full text© The Author(s) 2020. We propose a novel framework for learning stabilizable nonlinear dynamical systems for continuous control tasks in robotics. The key contribution is a control-theoretic regularizer for dynamics fitting rooted in the notion of stabilizability, a constraint which guarantees the existence of robust tracking controllers for arbitrary open-loop trajectories generated with the learned system. Leveraging tools from contraction theory and statistical learning in reproducing kernel Hilbert spaces, we formulate stabilizable dynamics learning as a functional optimization with a convex objective and bi-convex functional constraints. Under a mild structural assumption and relaxation of the functional constraints to sampling-based constraints, we derive the optimal solution with a modified representer theorem. Finally, we utilize random matrix feature approximations to reduce the dimensionality of the search parameters and formulate an iterative convex optimization algorithm that jointly fits the dynamics functions and searches for a certificate of stabilizability. We validate the proposed algorithm in simulation for a planar quadrotor, and on a quadrotor hardware testbed emulating planar dynamics. We verify, both in simulation and on hardware, significantly improved trajectory generation and tracking performance with the control-theoretic regularized model over models learned using traditional regression techniques, especially when learning from small supervised datasets. The results support the conjecture that the use of stabilizability constraints as a form of regularization can help prune the hypothesis space in a manner that is tailored to the downstream task of trajectory generation and feedback control. This produces models that are not only dramatically better conditioned, but also data efficient
