Digital Commons Network^™

Drafting Indenture 'No-Action' Clauses Under New York Law, William N. Lay

The Forum: A Tennessee Student Legal Journal

No abstract provided.

8th Amendment Freedom From Cruel And Unusual Punishment: Lethal Injection Drugs, Casey Elliott

The Forum: A Tennessee Student Legal Journal

No abstract provided.

Breath Of Fresh Air: A Discussion Of National Ambient Air Quality Standards For Ozone, William C. Mazzota, Luke P. Ihnen

The Forum: A Tennessee Student Legal Journal

No abstract provided.

Defective Designs In Airbag Technology, Benjamin Ashley

The Forum: A Tennessee Student Legal Journal

No abstract provided.

Justice For Juveniles: The Importance Of Immediately Appointing Counsel To Cases Involving Status Offenses And Engaging In Holistic Representation Of Juveniles In All Cases, Ashley Goins

The Forum: A Tennessee Student Legal Journal

No abstract provided.

Understanding The Yoder Provision: Analyzing The Impact Of Amendments To Dodd-Frank's Swaps "Push-Out" Provision, William Lay

The Forum: A Tennessee Student Legal Journal

No abstract provided.

Amendment Ii: A Consideration Of The History, Passage & Potential Effects Of The Latest Judicial Selection Process In Tennessee, William H. Neal Iii, Jarrod B. Casteel

The Forum: A Tennessee Student Legal Journal

No abstract provided.

"Medicate-To-Execute": The Dilemma Of Involuntary Medication And Mentally Ill Death Row Inmates, Paige Ayres

The Forum: A Tennessee Student Legal Journal

No abstract provided.

The Challenge Of Lgbt Youth In Foster Care, Benjamin Ashley

The Forum: A Tennessee Student Legal Journal

No abstract provided.

Eliminating The Effective Death Sentence Of Life Without Parole, Joseph Tutro

The Forum: A Tennessee Student Legal Journal

No abstract provided.

What It Means To Be A Parent: A Problematic Outcome In Adoptive Couple V. Baby Girl, Amy Sosinski

The Forum: A Tennessee Student Legal Journal

No abstract provided.

Life At A Middle Kingdom Amethyst Mine: Archaeology Of Site 5, Wadi El-Hudi, Anne-Claire Salmas, Meredith Brand

Audio & Video by Faculty: Webinars, interviews, documentaries, etc...

Ancient Egyptian jewelry is renowned for its beauty, and the purple amethyst jewels from Middle Kingdom royal and elite burials are particularly stunning. As a luxury item, the pharaoh and his administration seemed to have exerted a state monopoly on semi-precious stones like amethyst, yet many questions remain as to how this monopoly was managed and the lives of the miners engaged in back-breaking labor. In 2014 the Wadi el-Hudi Expedition, directed by Kate Liszka (California State University San Bernardino) and co-directed by Bryan Kraemer (Robert and Frances Fullerton Museum of Art) and Meredith Brand (The American University of Cairo), …

2021-07-06_Michigandaily_Covidmap, Michigan Department Of Health & Human Services

Daily Michigan COVID-19 Update

The "WHERE WE STAND WITH COVID-19" map was obtained from Michigan's main COVID-19 page: https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated daily at 3p.m., Monday - Saturday.

The State of Michigan is working around the clock to test and treat COVID-19 patients. Below is the most recent data healthcare experts across the state have compiled.

The image contained a map, indicating total cases by county, and also provides statistics on Total Confirmed Cases, Total COVID-19 Deaths, Daily Confirmed Cases, and Daily COVID-19 Deaths. There …

2021-07-06_Michiganoverview_Covidcounts, Michigan Department Of Health & Human Services

Michigan COVID-19 Confirmed Cases by Date of Onset Data

Data was downloaded as an Excel spreadsheet which appeared in the Public Use Datasets section under the Cumulative Data link of Michigan's Coronavirus webpage, under the url https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173---,00.html.

Cases are aggregated by the date of onset of COVID-19 symptoms, if known, otherwise by laboratory specimen date if known, otherwise by case referral date. Deaths are aggregated by the date of death if known, otherwise by the last date of a change to the case status.

2021-07-06_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services

Michigan COVID-19 Syndromic Surveillance System Data

The Syndromic Surveillance System Data report was obtained from Michigan's COVID-19 dashboard, from under the link "​Coronavirus Symptoms": https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated twice a week on Tuesdays and Fridays.

Syndromic Surveillance System data is obtained from approximately 183 facilities participating in syndromic surveillance (132 Emergency Departments (ED), 51 Urgent Cares) across the State of Michigan. The reporting is based on individuals who present at EDs and may not be representative of the overall population. The coronavirus-like symptoms query searches visit free-text (chief complaint, triage notes, …

2021-07-02_Michigandaily_Covidmap, Michigan Department Of Health & Human Services

Daily Michigan COVID-19 Update

The "WHERE WE STAND WITH COVID-19" map was obtained from Michigan's main COVID-19 page: https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated daily at 3p.m., Monday - Saturday.

The State of Michigan is working around the clock to test and treat COVID-19 patients. Below is the most recent data healthcare experts across the state have compiled.

The image contained a map, indicating total cases by county, and also provides statistics on Total Confirmed Cases, Total COVID-19 Deaths, Daily Confirmed Cases, and Daily COVID-19 Deaths. There …

Interfacing With Robots Without The Use Of Touch Or Speech, Addison Clark, Ahmad Ishfaq

Association of Computing Machinery Open Access Agreement Publications-Archive

As the field of robotics develops, so do the methods of interfacing with and controlling those robots. Many modern robots can be communicated with using commands that require neither speech nor touch. The two main motivations behind this trend are the assistance of people with disabilities and the desire for more natural Human-Robot Interaction (HRI). In allowing nonverbal communication with robots, accessibility of the systems increases to allow more people to interact with and benefit from robotics systems. Additionally, nonverbal communication provides more natural communication, which can lead to many benefits in HRI. This paper provides an overview of existing …

Learning Visuomotor Policies With Deep Movement Primitives, Michail Theofanidis, Asil Kaan Bozcuoglu, Michael Neumann, Fillia Makedon, Maria Kyrarini, Michael Beetz, Jeo Cloud

Association of Computing Machinery Open Access Agreement Publications-Archive

In this paper, we present a novel method to learn end-to-end visuomotor policies for robotic manipulators. The method computes state-action mappings in a supervised learning manner from video demonstrations and robot trajectories. We show that the robot learns to perform different tasks by associating image features with the corresponding movement primitives of different grasp poses. To evaluate the effectiveness of the proposed learning method, we conduct experiments with a PR2 robot in a simulation environment. The purpose of these experiments is to evaluate the system’s ability to perform manipulation tasks.

Weakly-Supervised Hand Part Segmentation From Depth Images, Mohammad Rezaei, Farnaz Farahanipad, Alex Dilhoff, Vassilis Athitos, Ramez Elmasri

Association of Computing Machinery Open Access Agreement Publications-Archive

Existing learning-based methods require a large number of labeled data to produce accurate part segmentation labels. However, acquiring ground truth labels is costly, giving rise to a need for methods that either require fewer labels or can utilize other currently available labels as a form of weak supervision for training. In this paper, in order to mitigate the burden of labeled-data acquisition, we propose a data-driven method for hand part segmentation on depth maps without any need for extra effort to obtain segmentation labels. The proposed method uses the labels already provided by public datasets in terms of major 3D …

Classification Of Mild Cognitive Impairment By Fusing Neuroimaging And Gene Expression Data, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Dajiang Zhu

Association of Computing Machinery Open Access Agreement Publications-Archive

As reversing the pathology of Alzheimer’s disease (AD) is impossible, the diagnosis of mild cognitive impairment (MCI), which is considered as the precursor of AD, has become a more tractable goal. Because both brain structural and functional alterations have been observed in MCI patients, many multimodal fusion approaches have been proposed to classify MCI from normal controls (NC) in clinical studies. Given the complex relationships between brain structure and function, deep learning based models can be helpful in revealing potential non-linear relationships buried in multimodal neuroimaging data. Meanwhile, RNA expression microarray profile can be a complementary feature in brain diseases …

Mina: A Multitasking Intelligent Nurse Aid Robot, Harish Ram Nambiappan, Krishna Chaitanya Kodur, Maria Kyrarini, Nicholas Gans, Fillia Makedon

Association of Computing Machinery Open Access Agreement Publications-Archive

Nurses have to carry out a myriad of tasks, which is one of the main reasons for burnout. In this paper, a robotic Multitasking Intelligent Nurse Aid (MINA) is proposed to assist nurses with everyday tasks and tackle nurse burnout. MINA uses Simultaneous Localization And Mapping (SLAM) to map shelves in a storage room and pointcloud using an RGB-Depth camera. The barcode of the item is first detected using zbar library, and then the pointcloud is generated in ROS and saved accordingly. Preliminary experiments with respect to the creation of a pointcloud map with barcode detection are presented. The preliminary …

Web Scraping Of Covid-19 News Stories To Create Datasets For Sentiment And Emotion Analysis, Poojitha Thota, Ramez Elmasri

Association of Computing Machinery Open Access Agreement Publications-Archive

Over the past few years, the ubiquitous usage of internet to broadcast information worldwide, has proved to be one of the best methods in making people aware about their surroundings. This has also led towards storage of vast amount of data in user interactive websites. Several news channels apart from live streaming, are using internet in such ways to convey their information. And these methods have not only benefited people to acquire regular updates but have also impacted their lives in many ways during the world awakening pandemic like COVID-19. Currently, in this pandemic situation, many leaders including federal and …

“I’M Better Off On My Own”: Understanding How A Tutorial’S Medium Affects Physical Skill Development, Shreyosi Endow, Cesar Torres

Association of Computing Machinery Open Access Agreement Publications-Archive

The shift towards distance learning brought forth by the pandemic has highlighted the shortcomings of teaching physical skills at a distance. With the emergence of new augmented and connected mediums, new opportunities arise for transferring physical skills that have resisted traditional documentation methods. However, there lacks a framework that allows tutorial authors to capitalize on a new medium’s unique affordances rather than remediating existing tutorial conventions. Our work analyzes a body of tutorials rendered in various mediums for centering clay on a pottery wheel — a foundational skill that exemplifies the difficulties of physical skill transfer. Through the lens of …

Map Visualization Using Spatial And Spatio-Temporal Data: Application To Covid-19 Data, Mohammad A. Shaito, Ramez Elmasri

Association of Computing Machinery Open Access Agreement Publications-Archive

Currently, spatial geographic data can be collected for many applications that involve data on the planet earth. These collected data typically have coordinates (x, y), or longitude and latitude in map space, and thus can be located and displayed on maps. Data alone represents facts and has no meaning on its own but becomes meaningful when it is associated with application knowledge, such as elections, crimes, disease, etc. For example, there is no meaning behind those numbers (1, 23, 125, 355, . . .), yet they are data that can get meaning when correlated with the total number of cases …

Self-Supervised Human Activity Recognition By Augmenting Generative Adversarial Networks, Mohammad Zaki Zahed, Ashish Jaiswal, Ramesh Babu Ashwin, Maria Kyrarini, Fillia Makedon

Association of Computing Machinery Open Access Agreement Publications-Archive

This article proposes a novel approach for augmenting generative adversarial network (GAN) with a self-supervised task in order to improve its ability for encoding video representations that are useful in downstream tasks such as human activity recognition. In the proposed method, input video frames are randomly transformed by different spatial transformations, such as rotation, translation and shearing or temporal transformations such as shuffling temporal order of frames. Then discriminator is encouraged to predict the applied transformation by introducing an auxiliary loss. Subsequently, results prove superiority of the proposed method over baseline methods for providing a useful representation of videos used …

Attacking Audio Event Detection Deep Learning Classifiers With White Noise, Rodrigo Dos Santos, Ashwitha Kassetty, Shirin Nilizadeh

Association of Computing Machinery Open Access Agreement Publications-Archive

We develop deep learning-based classifiers for Audio Event Detection (AED), attacking them next with some white noise disturbances. We show that an attacker can use such simple disturbances to potentially fully avoid detection by AED systems. Prior work has shown that attackers can mislead image classification tasks, however this work focuses on attacks against AED systems, by tampering the audio and not image. This work brings awareness to the designers and manufacturers of AED systems and devices, as these solutions are becoming more ubiquitous by the day.

A Simulated Environment For Traversability Estimation Experiments In Field Robotics Applications, Christos Sevastopoulos, Stasinos Konstantopoulos

Association of Computing Machinery Open Access Agreement Publications-Archive

We present an environment for simulated experiments in field robotics, and especially in experiments on estimating the traversability of foliage and other objects that appear as obstacles but that can be overcome by the robot without circumventing them. The simulated environment is developed in the Unity real-time development platform, integrated with the ROS middleware. In the preliminary experiments presented here, we demonstrate that our environment is able to simulate the sensory input needed in order to train supervised traversability estimation models.

Sequential Late Fusion Technique For Multi-Modal Sentiment Analysis, Debapriya Banerjee, Fotios Lygerakis, Fillia Makedon

Association of Computing Machinery Open Access Agreement Publications-Archive

Multi-modal sentiment analysis plays an important role for providing better interactive experiences to users. Each modality in multi-modal data can provide different viewpoints or reveal unique aspects of a user’s emotional state. In this work, we use text, audio and visual modalities from MOSI dataset and we propose a novel fusion technique using a multi-head attention LSTM network. Finally, we perform a classification task and evaluate its performance.

Designing A Vocational Immersive Storytelling Training And Support System To Evaluate Impact On Working And Episodic Memory, Sanika Doolani, Callen Wessels, Fillia Makedon

Association of Computing Machinery Open Access Agreement Publications-Archive

Working memory and episodic memory are mainly responsible for the storage and recollection of information, whereas Storytelling is the most ancient and effective way of relaying this information to the user. We have designed an interactive and immersive storytelling system using Augmented Reality to improve episodic and working memory. This paper presents an overview of the tasks we used to improve these 2 sections of memory and also presents a study design on how we plan to evaluate our system to prove its effectiveness in comparison to desktop 2D-based training.

Manifolk: A 3d T-Sne Visualizer, Krishna Chaitanya Kodur, Ramesh Babu Ashwin, Fillia Makedon

Association of Computing Machinery Open Access Agreement Publications-Archive

Manifolk is a tool to visualize the output of dimensionality reduction algorithms like t-SNE, PCA etc. One of this tool’s main uses is that it de-clutters graphs by plotting data points pertaining to a subset of labels. The subset of labels to be plotted can be selected using the provided checkboxes. A case study on data from a publicly available action recognition dataset like UCF101 shows how this tool can help find outliers. With the rise in self-supervised methods for training deep neural networks, this tool helps researchers better visualize the embeddings learned by the model.