A labeling technology for LANDSAT imagery

There are no author-identified significant results in this report

Label Identification from Statistical Tabulation (LIST) test and evaluation

There are no author-identified significant results in this report

A discriminant approach to parameter estimation in the linear model with unknown variance-covariance matrix

There are no author-identified significant results in this report

Large Area Crop Inventory Experiment (LACIE). List spectral keys study

There are no author-identified significant results in this report

The multicategory case of the sequential Bayesian pixel selection and estimation procedure

A Bayesian technique for stratified proportion estimation and a sampling based on minimizing the mean squared error of this estimator were developed and tested on LANDSAT multispectral scanner data using the beta density function to model the prior distribution in the two-class case. An extention of this procedure to the k-class case is considered. A generalization of the beta function is shown to be a density function for the general case which allows the procedure to be extended

Surgical Subtask Automation for Intraluminal Procedures using Deep Reinforcement Learning

Intraluminal procedures have opened up a new sub-field of minimally invasive surgery that use flexible instruments to navigate through complex luminal structures of the body, resulting in reduced invasiveness and improved patient benefits. One of the major challenges in this field is the accurate and precise control of the instrument inside the human body. Robotics has emerged as a promising solution to this problem. However, to achieve successful robotic intraluminal interventions, the control of the instrument needs to be automated to a large extent. The thesis first examines the state-of-the-art in intraluminal surgical robotics and identifies the key challenges in this field, which include the need for safe and effective tool manipulation, and the ability to adapt to unexpected changes in the luminal environment. To address these challenges, the thesis proposes several levels of autonomy that enable the robotic system to perform individual subtasks autonomously, while still allowing the surgeon to retain overall control of the procedure. The approach facilitates the development of specialized algorithms such as Deep Reinforcement Learning (DRL) for subtasks like navigation and tissue manipulation to produce robust surgical gestures. Additionally, the thesis proposes a safety framework that provides formal guarantees to prevent risky actions. The presented approaches are evaluated through a series of experiments using simulation and robotic platforms. The experiments demonstrate that subtask automation can improve the accuracy and efficiency of tool positioning and tissue manipulation, while also reducing the cognitive load on the surgeon. The results of this research have the potential to improve the reliability and safety of intraluminal surgical interventions, ultimately leading to better outcomes for patients and surgeons

Shifting Perception in Tragedy: September 2001 to September 2002 in Theatre

This paper explores the performances and plays that were produced in reaction to the September 2001 terrorist attacks in relation to classical and contemporary theories on tragedy. This includes an overview of the immediate response to the attacks by the theatre community in New York and the nation as a whole along with the thoughts of contemporary scholars who tend to view tragedy as being intangible and impossible to define. In comparison to the contemporary scholars, Kenneth Burke and Francis Ferguson’s scholarship on the tragic rhythm attempts to define the different parts of tragedy. Burke and Ferguson’s work and the thoughts of contemporary scholars are used to analyze some of the plays written in response to 9/11 including Anne Nelson’s The Guys, Craig Wright’s Recent Tragic Events, and Richard Montoya’s Anthems: Culture Clash in the District. The paper concludes by reflecting on how these plays related to their audiences when they were first performed

Year Four

Eukaryon has grown since its very first issue four years ago and continues to grow without losing pace. From being a faculty-student joint endeavor at the start up, to becoming a student run journal in the true sense, from having a singular student member four years ago, to twenty staff members this year, we have come a long way

FORMULATION AND EVALUATION OF NEUSILIN US2 ADSORBED AMORPHOUS SOLID SELF-MICROEMULSIFYING DELIVERY SYSTEM OF ATORVASTATIN CALCIUM ®

ABSTRACTObjective: The objective of the present study was to improve the dissolution profile of poorly water-soluble atorvastatin calcium (ASC), via formationof its solid self-microemulsifying drug delivery system (SSMEDDS).Methods: The SSMEDDS was prepared using oleic acid, Tween 80 and propylene glycol as an oil phase, surfactant, and co-surfactant, respectively.Initially, the solubility of ASC was examined in different oils, surfactants and co-surfactants, and pseudo-ternary phase diagrams were constructedsubsequently to optimize the ratio of the excipients having greater microemulsion region. The liquid self-emulsifying batches of ASC were developedwith the optimized excipients and evaluated for droplet size, zeta potential, percentage transmittance, self-emulsification time assessment, dispersibilitytest, and drug release. Neusilin US2 was employed as an adsorbent to transform optimized liquid emulsifying batch A1 to solid formulation. The solidformulation was characterized by particle size analysis, differential scanning calorimetry, X-ray powder diffractometry, scanning electron microscopy,and in vitro drug release.®Results: The characterization studies revealed the transformation of crystalline ASC to amorphous form in solid adsorbed batch. The drug releasestudies demonstrated remarkable improvement in dissolution profile of ASC from its liquid as well as SSMEDDS as compared to pure drug.Conclusion: The development of SSMEDDS could be a reliable and alternative approach for improvement of dissolution performance of ASC.Keywords: Atorvastatin, Self-microemulsifying, Amorphous, Formulation, Neusilin® US2

A Comparison of Optimized Link State Routing with Traditional Ad-hoc Routing Protocols

The performance of mobile ad-hoc networks (MANET) is related to the efficiency of the routing protocols in adapting to frequently changing network topology and link status. This paper addresses the issue by comparing the relative performance of three key ad-hoc routing protocols: Destination-sequenced Distance Vector (DSDV), Ad-hoc Ondemand Distance Vector (AODV) and Optimized Link State Routing (OLSR). The protocols are tested based on two scenarios, namely, tactical networks for ships and sensor-based network nodes. Four performance metrics were measured by varying the maximum speed of mobile hosts, network size and traffic load, to assess the routing capability and protocol efficiency. The simulation results indicate that AODV performs better than OSLR and DSDV in the first scenario. Although OLSR also performed relatively well, the associated high routing overhead is the dominant reason for not choosing it. On the other hand, OLSR emerged as the protocol of choice for sensor networks, where the high routing overhead is counteracted by consistently better performance in all other metrics. Due to the slow evolution of the sensor network topology, OLSR performed satisfactorily for best effort traffic but needed subtle adjustments to balance between latency and bandwidth to meet the requirements of delay-sensitive applications