Utilizing a Web-Based Program for Educational Material Distribution in an OBGYN Residency Program

Background: Online modules and assignments are commonly used for continuing education among residents. Ensuring ease of distribution and access to learning modules, assignments and simulations allows for the efficient completion of these tasks. Objective: The purpose of this quality improvement project is to propose a new method for distribution of educational material and assignments to improve resident satisfaction and ease of completion as well as tracking completion by the program manager. Methods: A survey was sent to the 2020-21 academic year OBGYN residents regarding the current in-hospital folder-based distribution of resources. Based on the survey feedback, a checklist was designed in a web-based program (New Innovations). A repeat survey was sent out to current OBGYN residents in the 2021-22 academic year to assess resident satisfaction with the new distribution system. Results: The checklist-based system proposed in this project utilizing a web-based system resulted in improved resident satisfaction and reported ease of use compared to the in-hospital folder-based computer system, with 86% preferring the web-based checklist

UPC++ v1.0 Programmer’s Guide, Revision 2020.3.0

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores

Simultaneous completion and spatiotemporal grouping of corrupted motion tracks

Given an unordered list of 2D or 3D point trajectories corrupted by noise and partial observations, in this paper we introduce a framework to simultaneously recover the incomplete motion tracks and group the points into spatially and temporally coherent clusters. This advances existing work, which only addresses partial problems and without considering a unified and unsupervised solution. We cast this problem as a matrix completion one, in which point tracks are arranged into a matrix with the missing entries set as zeros. In order to perform the double clustering, the measurement matrix is assumed to be drawn from a dual union of spatiotemporal subspaces. The bases and the dimensionality for these subspaces, the affinity matrices used to encode the temporal and spatial clusters to which each point belongs, and the non-visible tracks, are then jointly estimated via augmented Lagrange multipliers in polynomial time. A thorough evaluation on incomplete motion tracks for multiple-object typologies shows that the accuracy of the matrix we recover compares favorably to that obtained with existing low-rank matrix completion methods, specially under noisy measurements. In addition, besides recovering the incomplete tracks, the point trajectories are directly grouped into different object instances, and a number of semantically meaningful temporal primitive actions are automatically discoveredThis work has been partially supported by the Spanish State Research Agency through the María de Maeztu Seal of Excellence to IRI MDM-2016-0656, by the Spanish Ministry of Science and Innovation under project HuMoUR TIN2017-90086-R and the Salvador de Madariaga grant PRX19/00626, and by the ERA-net CHIST-ERA project IPALM PCI2019-103386.Peer ReviewedPostprint (published version

Spartan Daily February 22, 2012

Volume 138, Issue 14https://scholarworks.sjsu.edu/spartandaily/1013/thumbnail.jp

Technology Solutions for Developmental Math: An Overview of Current and Emerging Practices

Reviews current practices in and strategies for incorporating innovative technology into the teaching of remedial math at the college level. Outlines challenges, emerging trends, and ways to combine technology with new concepts of instructional strategy

The Role of the Clinical Educator in Evaluating Nursing Competency

INTRODUCTION: Evaluation of nursing competency is critical to assuring patient safety and maintaining high professional standards in the practice of nursing. All nurses must graduate from an approved nursing program and successfully pass the national board exam before receiving initial licensure. State boards of nursing fulfill the role of gatekeeper, seeking to assure the public that nurses provide safe, competent care. In turn, high public awareness and patient advocacy initiatives require close monitoring of nursing competency. [See PDF for complete abstract