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  • CareLine

    Student Work thumbnail: CareLine
    Type:
    Student Work
    Description/Abstract:
    If a relative were placed in a long-term healthcare facility tomorrow, we would all love to be able to communicate frequently with them over the web, wouldn’t we? In many places, we simply cannot. According to the Centers for Disease Control and Prevention (CDC), over eight million people receive some form of long-term care annually. Whether at a nursing home, adult service center, or mental health institution, long-term care has great importance in our society. Yet these facilities mostly operate using dated technology and software. We built CareLine to bridge that communication gap between families, patients, and caretakers. CareLine provides an innovative solution that features a mobile friendly site, built-in office appointment-making, text and video chat, and email notifications with automated updates as a means to ease the anxiety that comes with long-term care. CareLine is a sleek and modern web application that features a built-in calendar for office appointments, text and video chat, and email notifications with automated updates. It has a TypeScript front end with a NodeJS and Fastify back end and a Microsoft SQL Server database. Our app is HIPAA compliant and secured with modern authentication tools. CareLine is designed to increase the amount of communication between not only the family and their relatives in long-term care situations, but also the family and the facility's caretakers. There is a myriad of concerns that come along with these scenarios, which our app aims to ease. While we do not provide the care ourselves, we offer a platform to give families a direct line. CareLine is your line to care, right away
    Creator/Author:
    Souders,Garrett; Thomas, Jeremy, and Moore, Merideth
    Submitter:
    CECH Library Service
    Date Uploaded:
    06/22/2020
    Date Created:
    2019-04
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Mathematical Impact of Relative Motion in the Deformation of Time

    Article thumbnail: Mathematical Impact of Relative Motion in the Deformation of Time
    Type:
    Article
    Description/Abstract:
    El movimiento relativo de un punto respecto de un observador no solo depende de la velocidad relativa del movimiento. La dirección de esta velocidad juega un papel fundamental en la deformación del tiempo. En este estudio, se ha cuantificado el efecto de la dirección sobre el factor de intervalos de tiempo.
    Creator/Author:
    Viaña, Javier
    Submitter:
    Javier Viana
    Date Uploaded:
    06/18/2020
    Date Modified:
    06/18/2020
    Date Created:
    June 10, 2020
    License:
    All rights reserved

  • 1819 Innovation Hub Mobile App

    Student Work thumbnail: 1819 Innovation Hub Mobile App
    Type:
    Student Work
    Description/Abstract:
    Have you had a chance to visit the 1819 Innovation hub yet? If not, you're probably not familiar with all the exciting opportunities and services the building has to offer. To some, the possibilities at 1819 can be quite overwhelming, but with the 1819 Mobile app, we make these opportunities more approachable. With our location based informational beacons and seamless check-in pre-registration process, you can skip to the front of the line and get right to work on your latest ideas and inventions. Using Apple’s Core Location services, the power of Swift, and the latest in Bluetooth low energy beacon technology, the 1819 Mobile app provides you with up to date contextual information about key locations within the University of Cincinnati’s 1819 Innovation Hub. The 1819 Mobile app ensures that you have access to the tools and information needed to succeed in your visit.
    Creator/Author:
    Demoss, Cameron; Holschuh, Chris, and Burns, Aidan
    Submitter:
    CECH Library Service
    Date Uploaded:
    06/15/2020
    Date Created:
    2020-04
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Promotion of food allergy by the unfolded protein response (preprint)

    Document thumbnail: Promotion of food allergy by the unfolded protein response (preprint)
    Type:
    Document
    Description/Abstract:
    This is a preprint of a to be submitted paper that demonstrates that: (1) many important food allergens (eggs, milk, peanuts, tree nuts) induce the unfolded protein response (UPR) in intestinal epithelial cells; (2) induction of the UPR, in turn, stimulates the expression of pro-Th2 cytokines (IL-25, IL-33, TSLP) that are required for the induction of food allergy by these cytokines; (3) egg allergy is suppressed in mouse models by the UPR inhibitor, metformin (a drug widely used to treat diabetes mellitus); and (4) metformin appears to have a protective effects in humans who have alpha-gal syndrome, which is a form of food allergy.
    Creator/Author:
    Finkelman, Fred
    Submitter:
    Fred Finkelman
    Date Uploaded:
    06/02/2020
    Date Modified:
    06/02/2020
    Date Created:
    2020-06-02
    License:
    Open Data Commons Attribution License (ODC-By)

  • Data of SysML SMD Environment Assumptions

    Generic Work thumbnail: Data of SysML SMD Environment Assumptions
    Type:
    Generic Work
    Description/Abstract:
    Environment assumptions elicited from human modelers for a SysML state machine diagram (SMD) in the context of satisfaction of a safety requirement.
    Creator/Author:
    Alenazi, Mounifah and Niu, Nan
    Submitter:
    Nan Niu
    Date Uploaded:
    05/22/2020
    Date Modified:
    05/22/2020
    Date Created:
    2020-05-22
    License:
    Open Data Commons Open Database License (ODbL)

  • 2020 BUV (basic utility vehicle): steering and suspension

    Student Work thumbnail: 2020 BUV (basic utility vehicle): steering and suspension
    Type:
    Student Work
    Description/Abstract:
    Senior design capstone report
    Creator/Author:
    Lamascid, Gustavo
    Submitter:
    CEAS Library Staff
    Date Uploaded:
    05/19/2020
    Date Modified:
    05/19/2020
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • 46mm end cap: cost savings

    Student Work thumbnail: 46mm end cap: cost savings
    Type:
    Student Work
    Description/Abstract:
    Senior design capstone report
    Creator/Author:
    McCartney, Dan
    Submitter:
    CEAS Library Staff
    Date Uploaded:
    05/18/2020
    Date Modified:
    05/18/2020
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Securing A Small Office Home Office Network: Integrating A Supervised Neural Network Algorithm

    Article thumbnail: Securing A Small Office Home Office Network: Integrating A Supervised Neural Network Algorithm
    Type:
    Article
    Description/Abstract:
    Small office home office networks have become a target for many threat actors, hackers and cyber attackers and hence there is an urgent need to secure the network from such attackers. Most small office home office network users do not see the need to provide enough security to their networks because they assume no one is going to hack them forgetting that the biggest threat of our small home networks today comes from the outside. The challenge of misconfiguration of routers, firewalls and default configurations in our small home networks renders the network vulnerable to attacks such as DDos , phishing attacks , virus and other network attacks hence the need to implement a detection algorithm to help identify flaws in the pattern of the small office network. It turns out that about 75% of existing approaches focused on intrusion detection in 802.11 wireless networks of a SOHO and not the entire network. These approaches do not efficiently secure the network entirely leaving the rest prone to attacks can occur with or without the internet. This paper proposes to add another layer of security to the other preventive measures in a SOHO network by designing, implementing and testing a supervised neural network algorithm to identify attacks on the small home network and also to send a notification to users to keep them informed of the activities on their network. The supervised neural network algorithm will have a dataset representing both attacks and non-attacks which will be used in the training phase. The system should be able to detect and identify the various attacks and anomalies when they occur on the network and help keep the users informed.
    Creator/Author:
    Azumah, Sylvia Worlali and Li, Chengcheng
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Implementation of a hybrid machine learning technique for network intrusion detection

    Article thumbnail: Implementation of a hybrid machine learning technique for network intrusion detection
    Type:
    Article
    Description/Abstract:
    The current rapid growth in the computer and internet development has ushered in numerous cybersecurity challenges which are constantly evolving with time. The current cybersecurity solutions are no longer optimal in tackling these emerging cyber threats and attacks. This paper proposes the creation of a cybersecurity dataset to be used for a hybrid machine learning (ML) approach of supervised and unsupervised learning for an effective intrusion detection system. The proposed model entails a five-stage process which starts at the setup of a simulated network environment of network attacks to generate a dataset which feeds into the data normalization stage and then to data dimension reduction stage using the principal component analysis as a feature extraction method after which the data of reduced dimension is clustered using the k-Means method to bring about a new data set with fewer features. This new dataset is afterward classified using the enhanced support vector machine (ESVM). The proposed model is expected to provide a high-quality dataset and an efficient intrusion detection system in terms of intrusion detection accuracy of 99.5%, short train time of 3seconds and a low false-positive rate of 0.4%.
    Creator/Author:
    Eichie, Maxwell
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved

  • Crime Hot Spots: Proposing a new model for appropriate identification of crime hot spots

    Article thumbnail: Crime Hot Spots: Proposing a new model for appropriate identification of crime hot spots
    Type:
    Article
    Description/Abstract:
    This research focuses on two fundamental aspects of hot spot policing that have been widely neglected by previous scholarly research. These aspects include the adequate concentration of crime at a smaller geographical unit to be considered a crime hot spot, and the cost-benefit implication of focusing limited police resources on such a smaller place in an effort to prevent criminal activities. Substantial limitations in call-t- service data from police departments raise concern on the purported concentration of crime at places that warrant such strategy in the first place. We will examine data from the Cincinnati Police Department and propose guidelines on adopting a threshold when designating places as crime hot spots, using time and cost-benefit analysis as key determinants.
    Creator/Author:
    Hussein, Abdul Aziz and Ozer, Murat
    Submitter:
    Jess Kropczynski
    Date Uploaded:
    05/15/2020
    Date Modified:
    05/15/2020
    Date Created:
    2020-04-14
    License:
    All rights reserved