Digital Commons Network^™

Predicting Delivery Time Of Components In A Supply Chain, Venki Raman, Sunil Reddy

Defensive Publications Series

Generally, the present disclosure is directed to predicting a delivery time of components in a supply chain. 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 delivery time of a component based on enterprise data relating to the component.

Generating Travel Itineraries Based On User Interests, David Parkinson

Defensive Publications Series

Generally, the present disclosure is directed to generating a travel itinerary for a user based on the user’s interests. 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 interest of a user and generate a travel itinerary based on user preferences and interests.

Identifying Hold State In An Automated Calling System, Thomas Price

Defensive Publications Series

Generally, the present disclosure is directed to identifying that a caller is on hold or has been removed from hold when calling a calling system such as, for example, an automated calling system. 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 that a hold state has changed (e.g. a caller has been placed on hold or has been taken off hold) based on call data from a call.

Machine Learning To Determine Type Of Vehicle, Thomas Price

Defensive Publications Series

Generally, the present disclosure is directed to determining the vehicle type of a vehicle (e.g. for use in vehicle navigation). 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 vehicle type of a vehicle based on vehicle data relating to the operation and/or capacity of a vehicle.

Machine Learning To Identify Vehicle Maintenance Needs, Thomas Price

Defensive Publications Series

Generally, the present disclosure is directed to identifying maintenance needs for a vehicle. 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 vehicle maintenance needs for a vehicle based on vehicle data from the vehicle.

Scorpions Of The Horn Of Africa (Arachnida: Scorpiones). Part Xii. Pandinurus Hangarale Sp. N. (Scorpionidae) From Somaliland And A Review Of Type Locality And True Distribution Of Pandinurus Smithi (Pocock, 1897), František Kovařík, Graeme Lowe, Tomáš Mazuch, Ahmed Ibrahim Awale, Jana Štundlová, František Šťáhlavský

Euscorpius

Pandinurus hangarale sp. n. from Somaliland is described and fully complemented with color photos of live and preserved specimens, as well as its habitat. Hemispermatophore of P. hangarale sp. n. is illustrated and described. In addition to the analyses of external morphology and hemispermatophores, we also describe the karyotype of P. hangarale sp. n. (2n=120). Known localities of Pandinurus smithi (Pocock, 1897) are compiled; the type locality is not in Somaliland but in Ethiopia (Turfa) and in reality it is probably an endemic of Ethiopia.

Identifying Energy Overconsumption Based On Ambient Noise Audio Signatures, Thomas Price

Defensive Publications Series

Generally, the present disclosure is directed to identifying energy overconsumption in a 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 predict a device is in a state of energy overconsumption based on ambient noise data and electricity throughput.

Image Moderation Using Machine Learning, Dave Feltenberger, Rob Neuhaus

Defensive Publications Series

Generally, the present disclosure is directed to moderating images using 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 a probability that an image will be accepted and/or rejected according to one or more rules of a submission service based on image data from the image.

Machine Learning For Accurate Battery Run Time Prediction, Liang Jia

Defensive Publications Series

Generally, the present disclosure is directed to using machine learning to manage state of charge of a battery. 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 future energy consumption and optimal charging rate of a battery based on battery characteristics and expected user routine.

Removing Breathing Artifacts From Audio, N/A

Defensive Publications Series

Generally, the present disclosure is directed to removing breathing artifacts from audio. 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 generate a clean audio sample based on audio data from the audio sample.

Configuring Music Variation In A Music Compilation, Thomas Price

Defensive Publications Series

Generally, the present disclosure is directed to determining an optimal level of music variation in an assortment of music such as, for example, a music streaming service. 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 level of music variation based on historical level of music variation preferences and/or listening data.

Discovering Employment Listings From Imagery, Charles Armstrong

Defensive Publications Series

Generally, the present disclosure is directed to discovering employment listings from imagery. 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 identify employment listings based on image data.

Stylizing Map Based On Examples Of Representative Styling, Joshua Schpok

Defensive Publications Series

Generally, the present disclosure is directed to stylizing a map based on one or more examples of representative styling. 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 map styling rules based on one or more examples of representative styling.

Senate Minutes 12-7-17, Kutztown University Of Pennsylvania

Senate Minutes

No abstract provided.

Media Impact On Nfl Fans, Justin White

Sport Management Undergraduate

The purpose of the study was to examine the complex relationship between NFL fans and the media in reaction to a newly hired NFL coach. The conclusions and process were important to all three groups because each group is directly affected by the others and the results. Fans can change the way they consume media and the organizations can change the way they interact with the media in an attempt to change the way the media writes about the team. It was known that media framing exists but the extent to which it exists in NFL circles had not been …

The Five Hundred And Forty-Fourth Report Of The Curricular Affairs Committee: Curricular Proposals, University Of Rhode Island Faculty Senate

Faculty Senate Bills

No abstract provided.

The Five Hundred And Forty-Fourth Report Of The Curricular Affairs Committee, University Of Rhode Island Faculty Senate

Faculty Senate Bills

No abstract provided.

Turning Apathy To Ambition: Strategies For Countering Student Disinterest, Jared Bryan

Tutor's Column

Apathetic students – those who do not care enough about writing to engage in a session - are some of the hardest to tutor. Their reluctance to engage with the tutor is often the result of a perceived lack of connection between their personal interests and the topic they are writing about, or even writing in general. The connection between writing and STEM fields, for example, is not often readily apparent; the necessity of written communication in one form or another is often lost in the theory and technical skills that dominate the major. This reduces the problem of inspiring …

Black And White And Gray All Over, Harper Forsgren

Tutor's Column

This essay examines the division between keeping professional regulations as a Writing Tutor while working with a paper that goes against the tutor’s personal moral code. It suggests two approaches to handling these situations, from leaving the paper exactly as it is to respect personal authorship to following the tutor’s own moral obligation to inform the student of the incendiary ideals written in the essay. It then concludes that the true answer may lie somewhere in between these two proposed solutions. The narrative follows the author’s experience as a peer tutor, explaining the first time she encountered an essay that …

College Senate Minutes December 7, 2017, Bronx Community College Senate

BCC Governance Archives

Minutes for the meeting of the College Senate on December 7, 2017.

Pharmacomechanical Catheter-Directed Thrombolysis For Deep-Vein Thrombosis., Suresh Vedantham, Samuel Z Goldhaber, Jim A Julian, Susan R Kahn, Michael R Jaff, David J Cohen, Elizabeth Magnuson, Mahmood K Razavi, Anthony J Comerota, Heather L Gornik, Timothy P Murphy, Lawrence Lewis, James R Duncan, Patricia Nieters, Mary C Derfler, Marc Filion, Chu-Shu Gu, Stephen Kee, Joseph Schneider, Nael Saad, Morey Blinder, Stephan Moll, David Sacks, Judith Lin, John Rundback, Mark Garcia, Rahul Razdan, Eric Vanderwoude, Vasco Marques, Clive Kearon

Reading Hospital Interventional Radiology

BACKGROUND: The post-thrombotic syndrome frequently develops in patients with proximal deep-vein thrombosis despite treatment with anticoagulant therapy. Pharmacomechanical catheter-directed thrombolysis (hereafter "pharmacomechanical thrombolysis") rapidly removes thrombus and is hypothesized to reduce the risk of the post-thrombotic syndrome.

METHODS: We randomly assigned 692 patients with acute proximal deep-vein thrombosis to receive either anticoagulation alone (control group) or anticoagulation plus pharmacomechanical thrombolysis (catheter-mediated or device-mediated intrathrombus delivery of recombinant tissue plasminogen activator and thrombus aspiration or maceration, with or without stenting). The primary outcome was development of the post-thrombotic syndrome between 6 and 24 months of follow-up.

RESULTS: Between 6 and 24 …

December 7, 2017, James Madison University

The Breeze, 2010-2019

The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia.

Meeting Agenda, Wku Staff Council

Staff Council

Agenda of December 2017 meeting.

Educational Policies Committee Agenda, December 7, 2017, Utah State University

Educational Policies Committee

• Curriculum Subcommittee
• Course approvals
• Program proposals
• Academic Standards Subcommittee
• General Education Subcommittee

V. 85, Iss. 10, December 7, 2017

Archway (1946-2020)

No abstract provided.

John Barna V. Board Of School Directors Pant

2017 Decisions

USDC for the Middle District of Pennsylvania

John Torrey V. New Jersey Department Of Law A

2017 Decisions

USDC for the District of New Jersey

The Setonian, December 7, 2017, Seton Hall University

2017

No abstract provided.

Wearing The Collaborator Hat, Jessica Hahn

Tutor's Column

Writing tutors take on several roles when working with students, which range from coaches to counselors. However, one of the most important roles of writing tutors is the collaborator. Collaboration encourages both the tutor and the student to draw on each of their strengths, rather than only relying on the knowledge of the tutor alone. Some roles that restrict tutors as collaborators are roles such as editors and experts. Tutors avoid being editors of papers because they are only able to address surface level issues in writing rather than global issues. Being an expert is too much of a burden …

Non-Invasive Positive Pressure Ventilation In The Obese Patient Population An Intervention To Enhance Oxygenation: A Quality Improvement Project, Justin Smith

Doctoral Projects

Obesity is a comorbidity that can be challenging to the anesthetist. Patients who are obese are at risk for rapidly desaturating after becoming apneic during the induction of a general anesthetic. This rapid desaturation is mainly attributed to their decreased oxygen reserve that is a result of their obesity. Mississippi is known to have a disproportionately higher percentage of citizens who are obese, compared to other states (Johnson, 2016). Desaturation in the obese is important to avoid because it leads to atelectasis and prolongs recovery. When an anesthetist is providing a general anesthetic to the obese patient population, it is …