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Changes In The Utilization Of Osteoporosis Drugs After The 2010 Fda Bisphosphonate Drug Safety Communication, Bander Balkhi, Enrique Seoane-Vazquez, Rosa Rodriguez-Monguio

Pharmacy Faculty Articles and Research

Introduction

In October 2010, the US Food and Drug Administration (FDA) issued a safety communication regarding the risks of atypical fractures of the femur, with bisphosphonates drugs. This study evaluated the impact of the bisphosphonates FDA safety communication on the utilization of osteoporosis medications in Medicaid programs.

Methods

Osteoporosis drugs utilization data from the July 2006 to June 2014 were extracted from the national Summary Files from the Medicaid State Drug Utilization Data maintained by the Centers for Medicare & Medicaid Services (CMS). We performed an interrupted time series analyses to evaluate trends in utilization of osteoporosis drugs before and …

Past Observable Dynamics Of A Continuously Monitored Qubit, Luis Pedro García-Pinto, Justin Dressel

Mathematics, Physics, and Computer Science Faculty Articles and Research

Monitoring a quantum observable continuously in time produces a stochastic measurement record that noisily tracks the observable. For a classical process, such noise may be reduced to recover an average signal by minimizing the mean squared error between the noisy record and a smooth dynamical estimate. We show that for a monitored qubit, this usual procedure returns unusual results. While the record seems centered on the expectation value of the observable during causal generation, examining the collected past record reveals that it better approximates a moving-mean Gaussian stochastic process centered at a distinct (smoothed) observable estimate. We show that this …

Exploring The Determinants Of Vulnerable Road Users' Crash Severity In State Roads, Àlvaro Alfonso Caviedes Cómbita

Dissertations and Theses

Pedestrians and bicyclists are the most vulnerable road users and suffer the most severe consequences when crashes take place. An extensive literature is available for crash severity in terms of driver safety, but fewer studies have explored non-motorized users' crash severity. Furthermore, most research efforts have examined pedestrian and bicyclist crash severity in urban areas. This study focuses on state roads (mostly outside major urban areas) and aims to identify contributing risk factors of fatal and severe crashes involving pedestrians and bicyclists in state roads. Two ordinal regression models were developed (one for pedestrian and the other for bicyclist crashes) …

Costs And Benefits Of Mobility: The Case Of Chinese Seafarers, L Tang, G Chen

Plymouth Business School

No abstract provided.

Session 4 Discussion Notes, Ocean Waves Workshop 2017

Ocean Waves Workshop

No abstract provided.

Editor's Notes, Stuart Love, D'Esta Love

Leaven

No abstract provided.

What Shall Prevent Me? Even Me. . .From Full Participation In The Kingdom, Claire Davidson Frederick

Leaven

No abstract provided.

Editor's Notes

Leaven

No abstract provided.

Session 3 Discussion Notes, Ocean Waves Workshop 2017

Ocean Waves Workshop

No abstract provided.

Meeting Minutes, Wku Graduate Council

Graduate School

Meeting minutes.

Making Sense With Manipulatives: Developing Mathematical Experiences For Early Childhood Teachers, Cara E. Furman

Education and Culture

This paper is premised on the fact that math can be an important tool in helping people make sense of the world. Math offers a unique and particular lens, helping people to focus on a range of characteristics from shape and amount to the relationship between the general and the particular. To promote math as a tool for making sense, early childhood math instruction ought to teach it in a manner that helps children make sense of mathematical concepts.

Specifically, I argue here that manipulatives are often brought into the early childhood classroom to promote “hands-on” learning without facilitating making …

The Mindfulness Practice, Aesthetic Experience, And Creative Democracy, Kyle A. Greenwalt, Cuong H. Nguyen

Education and Culture

In this paper, we explore the degree to which the Buddhist mindfulness practice and the habits of democratic citizenship can be reconstructed in light of each other. We ask what mindfulness is, seeking to first understand it in its Buddhist context. Then we turn to the work of John Dewey in order to seek possibilities for mutual reconstruction. Finally, we ask how we can reconcile mindful acceptance of the present with the ameliorative habits of the democratic citizen—and what this might mean for a reconstructed progressive education practice.

John Dewey And Citizen Politics: How Democracy Can Survive Artificial Intelligence And The Credo Of Efficiency, Harry C. Boyte

Education and Culture

No abstract provided.

The Continuing Challenge Of Progressive Thought: Lessons From A College In Prison, Ellen Condliffe Lagemann

Education and Culture

No abstract provided.

Editor’S Note, David Granger

Education and Culture

No abstract provided.

Session 2 Discussion Notes, Ocean Waves Workshop 2017

Ocean Waves Workshop

No abstract provided.

Domain Restricted Secure Podcasts, Dustin Beutin

Defensive Publications Series

This disclosure describes techniques to securely provide access to audio files across desktop and mobile devices. The audio files, e.g., audio recordings that are part of a podcast, are converted to multimedia files of similar filesize. The converted files, which can optionally include a graphic related to the audio, are uploaded to secure, view-only cloud storage and configured for access by selected users, e.g., users within a particular domain. Access to the files is provided by a widget that can enable users to play the audio via any desktop or mobile device that can access the cloud storage service.

Machine Learning For Hardware Simulation, N/A

Defensive Publications Series

Generally, the present disclosure is directed to improving hardware simulation through machine learning. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict hardware test results based on data extracted from hardware.

Contextual Advertising Based On Content Recognition In A Video, Jason Mayes

Defensive Publications Series

Generally, the present disclosure is directed to providing relevant advertisements based on the visual content of a video. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to determine a relevant advertisement and/or a relevant time for the relevant advertisement based on image data taken from a video.

Identifying And Categorizing Utility Power Anomalies, N/A

Defensive Publications Series

Generally, the present disclosure is directed to predicting utility power anomalies such as, for example, outage events. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict utility power anomalies based on historical and/or current utility power data.

Consistent Hashing For Generating Protobuf Field Numbers, Tomasz Madejski, Rob Shakir

Defensive Publications Series

To convert a YANG-based model into a protobuf format, a unique field identification numbers needs to be assigned to each node in the YANG schema tree. Field identification numbers can be generated by calculating a numeric hash of characteristics of the YANG schema node; for example, its identifier or schema tree path. The resulting hash values provide backwards compatible field identification numbers suitable for protobuf field numbers.

Recognizing Semantic Formatting Information In A Document, N/A

Defensive Publications Series

Generally, the present disclosure is directed to recognizing semantic intent from formatting information. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict the intent of an author for a section (e.g., a word, sentence, line, column and/or paragraph) of a document based on the formatting information of that section of the document.

Suggesting Deletion Of Blurry Photos, Charles Lai, Nicolas Miranda

Defensive Publications Series

Generally, the present disclosure is directed to identifying and suggesting deletion of blurry photos. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a blurriness characteristic of an image based on image data. For example, the blurriness characteristic can describe a percentage of the image that is blurry.

Learning Better Font Slicing Strategies From Data, Quan Wang, Yiran Mao

Defensive Publications Series

Generally, the present disclosure is directed to serving font files in topical subsets. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict topic labels of characters in a font based on a corpus of characters or glyphs.

Session 1 Discussion Notes, Ocean Waves Workshop 2017

Ocean Waves Workshop

No abstract provided.

Using Imagery Of Vegetation And Rooftops To Predict Solar Roof Candidacy, Charles Armstrong

Defensive Publications Series

Generally, the present disclosure is directed to predicting whether a property can be conducive to solar energy system installation with minimal adjustment to peripheral vegetation. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict whether a property can be conducive to solar energy installation with minimal adjustment to peripheral vegetation based on imagery and/or publicly available or user-submitted information about the property or area surrounding the property.

Using Imagery To Identify Abandoned Property In Public Spaces, Charles Armstrong

Defensive Publications Series

Generally, the present disclosure is directed to identifying private property that has been illegally dumped or stored for a prolonged period without use. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict whether an item has been abandoned in a public right-of-way based on imagery of the item and record of public right-of-way.

System Volume Compensating For Environmental Noise, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to an audio system for compensating for ambient environmental noise. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a comfortable volume level based on an intensity of ambient noise.

Using Music To Affect Mood Based On Sentiment Analysis, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to influencing the mood of a person listening to music while operating a system or device. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to select music to play to influence a user’s mood based on user input into a system or device.

Planning Group Meals Based On Preferences Of Attendees, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to determining an optimal place and time for a meeting based on the preferences of the people attending the meeting. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an optimal restaurant and time for a group meal based on personal preferences and/or time availability of members of the group.