Moving Beyond Grades: A Shift in Assessing First-Year Composition

In Spring 2020, I conducted an I.R.B. approved study with the students in my English 103: Writing About Writing course. I wanted to determine how students felt about the two grading models—a qualitative-grading system vs a modified form of contract grading that I called a participation-based system—at two separate points in the semester. Early on I gave students a survey gathering data about their past experiences with both models. Prior to enrollment in my course, none had experienced a participation-based classroom, but everyone was familiar and comfortable with grading rubrics. The survey had 21 questions and gauged concepts from the effects of qualitative grading on creativity to the way assessments helped them understand assignments. Then, after experiencing a participation-based model, I gave a follow up survey with similar questions to see how their views and opinions of the two systems changed with experience. In addition, I used student reflection to gain written data regarding the assessments. This research was inspired by studies done by Peter Elbow, Linda Nilson, Asao Inoue, and many other scholars who have been exploring new composition assessment models. My study shows that grading and grading rubrics may end up doing more harm than good

Design of an Automated Employee Scheduling System

Many retail stores, as well as other organizations that employ a multitude of part-time employees, rely on developing schedules frequently, since the availabilities of the employees as well as the needs of the business change often. This process is often performed on a weekly basis, and is complex and time-consuming. The schedule must typically satisfy numerous requirements, including business needs, legal restrictions, and employee availability constraints. As a result, errors are common, and employee time that could have been spent on improving sales or operations is instead consumed by the scheduling task. This project explores two solution methods for this problem. One method is the use of linear programming (LP) to develop an optimal schedule weekly. The other is the design and implementation of a scheduling system that uses a heuristic method. After developing both methods it was determined that while the LP approach may lead to optimal solutions, it was impractical due to high costs and complexity. The heuristic approach resulted in an automatic scheduling system that is easy to use, low cost, and flexible. The new scheduling system was evaluated and approved by future users

Positive regulation of meiotic DNA double-strand break formation by activation of the DNA damage checkpoint kinase Mec1(ATR)

During meiosis, formation and repair of programmed DNA double-strand breaks (DSBs) create genetic exchange between homologous chromosomes-a process that is critical for reductional meiotic chromosome segregation and the production of genetically diverse sexually reproducing populations. Meiotic DSB formation is a complex process, requiring numerous proteins, of which Spo11 is the evolutionarily conserved catalytic subunit. Precisely how Spo11 and its accessory proteins function or are regulated is unclear. Here, we use Saccharomyces cerevisiae to reveal that meiotic DSB formation is modulated by the Mec1(ATR) branch of the DNA damage signalling cascade, promoting DSB formation when Spo11-mediated catalysis is compromised. Activation of the positive feedback pathway correlates with the formation of single-stranded DNA (ssDNA) recombination intermediates and activation of the downstream kinase, Mek1. We show that the requirement for checkpoint activation can be rescued by prolonging meiotic prophase by deleting the NDT80 transcription factor, and that even transient prophase arrest caused by Ndt80 depletion is sufficient to restore meiotic spore viability in checkpoint mutants. Our observations are unexpected given recent reports that the complementary kinase pathway Tel1(ATM) acts to inhibit DSB formation. We propose that such antagonistic regulation of DSB formation by Mec1 and Tel1 creates a regulatory mechanism, where the absolute frequency of DSBs is maintained at a level optimal for genetic exchange and efficient chromosome segregation

Agreement Elements for Outsourcing Transfer of Born Digital Content

This report suggests the elements that should be considered when constructing an outsourcing agreement (or memorandum of understanding) for transferring born digital content from a physical medium, while encouraging adherence to both archival principles and technical requirements

Cross-Modal Data Programming Enables Rapid Medical Machine Learning

Labeling training datasets has become a key barrier to building medical machine learning models. One strategy is to generate training labels programmatically, for example by applying natural language processing pipelines to text reports associated with imaging studies. We propose cross-modal data programming, which generalizes this intuitive strategy in a theoretically-grounded way that enables simpler, clinician-driven input, reduces required labeling time, and improves with additional unlabeled data. In this approach, clinicians generate training labels for models defined over a target modality (e.g. images or time series) by writing rules over an auxiliary modality (e.g. text reports). The resulting technical challenge consists of estimating the accuracies and correlations of these rules; we extend a recent unsupervised generative modeling technique to handle this cross-modal setting in a provably consistent way. Across four applications in radiography, computed tomography, and electroencephalography, and using only several hours of clinician time, our approach matches or exceeds the efficacy of physician-months of hand-labeling with statistical significance, demonstrating a fundamentally faster and more flexible way of building machine learning models in medicine

Variability in antifungal and antiviral use in hospitalized children

We analyzed antifungal and antiviral prescribing among high-risk children across freestanding children’s hospitals. Antifungal and antiviral days of therapy varied across hospitals. Benchmarking antifungal and antiviral use and developing antimicrobial stewardship strategies to optimize use of these high cost agents is needed.Infect Control Hosp Epidemiol2017;38:743–746</jats:p

Anisotropic body compliance facilitates robotic sidewinding in complex environments

Sidewinding, a locomotion strategy characterized by the coordination of lateral and vertical body undulations, is frequently observed in rattlesnakes and has been successfully reconstructed by limbless robotic systems for effective movement across diverse terrestrial terrains. However, the integration of compliant mechanisms into sidewinding limbless robots remains less explored, posing challenges for navigation in complex, rheologically diverse environments. Inspired by a notable control simplification via mechanical intelligence in lateral undulation, which offloads feedback control to passive body mechanics and interactions with the environment, we present an innovative design of a mechanically intelligent limbless robot for sidewinding. This robot features a decentralized bilateral cable actuation system that resembles organismal muscle actuation mechanisms. We develop a feedforward controller that incorporates programmable body compliance into the sidewinding gait template. Our experimental results highlight the emergence of mechanical intelligence when the robot is equipped with an appropriate level of body compliance. This allows the robot to 1) locomote more energetically efficiently, as evidenced by a reduced cost of transport, and 2) navigate through terrain heterogeneities, all achieved in an open-loop manner, without the need for environmental awareness