Digital Commons Network^™

Psdoodle: Searching For App Screens Via Interactive Sketching, Soumik Mohian, Christoph Csallner

Association of Computing Machinery Open Access Agreement Publications-Archive

Keyword-based mobile screen search does not account for screen content and fails to operate as a universal tool for all levels of users. Visual searching (e.g., image, sketch) is structured and easy to adopt. Current visual search approaches count on a complete screen and are therefore slow and tedious. PSDoodle employs a deep neural network to recognize partial screen element drawings instantly on a digital drawing interface and shows results in real-time. PSDoodle is the first tool that utilizes partial sketches and searches for screens in an interactive iterative way. PSDoodle supports different drawing styles and retrieves search results that …

Psdoodle: Fast App Screen Search Via Partial Screen Doodle, Soumik Mohian, Christoph Csallner

Association of Computing Machinery Open Access Agreement Publications-Archive

Searching through existing repositories for a specific mobile app screen design is currently either slow or tedious. Such searches are either limited to basic keyword searches (Google Image Search) or require as input a complete query screen image (SWIRE). A promising alternative is interactive partial sketching, which is more structured than keyword search and faster than complete-screen queries. PSDoodle is the first system to allow interactive search of screens via interactive sketching. PSDoodle is built on top of a combination of the Rico repository of some 58k Android app screens, the Google QuickDraw dataset of icon-level doodles, and DoodleUINet, a …

Iotree: A Battery-Free Wearable System With Biocompatible Sensors For Continuous Tree Health Monitoring, Tuan Dang, Trung Tran, Khang Nguyen, Tien Pham, Nhat Pham, Tam Vu, Phuc Nguyen

Association of Computing Machinery Open Access Agreement Publications-Archive

In this paper, we present a low-maintenance, wind-powered, battery-free, biocompatible, tree wearable, and intelligent sensing system, namely IoTree, to monitor water and nutrient levels inside a living tree. IoTree system includes tiny-size, biocompatible, and implantable sensors that continuously measure the impedance variations inside the living tree's xylem, where water and nutrients are transported from the root to the upper parts. The collected data are then compressed and transmitted to a base station located at up to 1.8 kilometers (approximately 1.1 miles) away. The entire IoTree system is powered by wind energy and controlled by an adaptive computing technique called block-based …

Towards A Common Lexicon For Equity, Diversity, And Inclusion Work In Academic Medicine, José E Rodríguez, Edgar Figueroa, Kendall M Campbell, Judy C Washington, Octavia Amaechi, Tanya Anim, Kari-Claudia Allen, Krys Foster, Maia Hightower, Yury Parra, Maria H Wusu, William A Smith, Mary Ann Villarreal, Linda H Pololi

Department of Family & Community Medicine Faculty Papers

Differential rewarding of work and experience has been a longtime feature of academic medicine, resulting in a series of academic disparities. These disparities have been collectively called a cultural or minority "tax," and, when considered beyond academic medicine, exist across all departments, colleges, and schools of institutions of higher learning-from health sciences to disciplines located on university campuses outside of medicine and health. A shared language can provide opportunities for those who champion this work to pool resources for larger impacts across the institution. This article aims to catalog the terms used across academic medicine disciplines to establish a common …

Suny Cortland Handbook 2022, State University Of New York College At Cortland

SUNY Cortland Handbook

No abstract provided.

Deliberations Before Running Another Wikipedia Editing Assignment, Laurel Smith Stvan

Linguistics & TESOL Faculty Publications & Presentations - Archive

In assessing a popular Open Educational Resource that instructs and is shaped by students, I weigh the costs for both instructors and students in using classroom Wikipedia editing assignments. Based on experiences from before and during the Covid era, I assess the ROI in instructor time and attention, reviewing what has worked best or been a struggle for editing projects aimed at expanding linguistics stubs. Successfully launching these engaged learning tasks encompasses two areas: filling Wikipedia content gaps and building student skills. Content gap concerns include finding relevant page topics for students to work with; recognizing constraints on biography pages …

Trends In The Diversity Of Pediatric Faculty: 2000 To 2020, Emma A Omoruyi, Colin J Orr, Greg Russell, Kimberly Montez

Faculty, Staff and Student Publications

OBJECTIVE: Academic medicine diversity is important for addressing health disparities and training the next generation. A recent study highlighted the lack of diversity among pediatric trainees over time. However, trends in US pediatric faculty diversity have not been clearly illuminated. The aim of this study is to evaluate pediatric faculty diversity trends and compare racial/ethnic representation between pediatric faculty and the US population.

METHODS: Repeat cross-sectional study of the Association of American Medical Colleges Faculty Roster of pediatric faculty from 2000 to 2020. Trends in sex, race, ethnicity, and rank were compared with the Cochran-Armitage test. Data on faculty race/ethnicity …

Fall Southtalks Explore Theme Of Race In The Classroom, Rebecca Lauck Cleary

Blog Posts

Historically, classrooms have functioned as both intensely local spaces and as broader political stages on which debates about equality, identity and access have played out -- nowhere to greater effect than at the University of Mississippi, which marks the 60th anniversary of its integration this fall.

2022 August 22; Faculty Senate Minutes, State University Of New York At Cortland

Minutes

Faculty Senate Minutes, 2022 August 22

SUNY Cortland Teacher Education Unit  Executive Summary of Case Studies of Completer Impact on Students

A Support Vector Machine Based Cure Rate Model For Interval Censored Data, Suvra Pal, Y Peng, S Barui, P Wang

SAGE Open Access Agreement Publications-Archive

The mixture cure rate model is the most commonly used cure rate model in the literature. In the context of mixture cure rate model, the standard approach to model the effect of covariates on the cured or uncured probability is to use a logistic function. This readily implies that the boundary classifying the cured and uncured subjects is linear. In this paper, we propose a new mixture cure rate model based on interval censored data that uses the support vector machine (SVM) to model the effect of covariates on the uncured or the cured probability (i.e., on the incidence part …

Fall Faculty Conference 2022, Academic Affairs

Fall Faculty Conference

The Fall Faculty Conference featured a talk entitled Healing Through Connection: Lessons Learned from the Frontlines of Healthcare by Dr. Laurie Hommema, Senior Medical Director, Provider and Associate Well-Being, Ohio Health, Kristi McClure, MSN, RN, and Lois Sallee, MA, CCC-SLP.

Following the community conversation, faculty broke into different sessions that dealt with helping students become ready for Otterbein, advising success, immersive experiences, launching, and succeeding. After the breakout sessions, several faculty members showcased topics they had been working on. Jennifer Merkowitz (Music, 2022 Teacher of the Year) presented Making a Melody, Leesa Kern (Sociology, Criminology & Justice Studies) presented …

How Relevant Is The Apa Ethics Code To Industrial-Organizational Psychology? Applicability, Deficiencies, And Recommendations, Logan L. Watts, Joel Lefkowitz, Manuel F. Gonzalez, Sampoorna Nandi

Cambridge University Press Open Access Agreement Publications-Archive

Opinions have been divided regarding the relevance of the APA Ethics Code to non-mental health specialties and even whether the code should attempt to encompass all psychology specializations. However, these opinions have crystallized without the benefit of any appreciable empirical data, until now. This study investigates the applicability of the ethical principles and standards of the code to 398 first-person narratives of ethical incidents reported by industrial-organizational (I-O) psychologists. On average, 2.8 (of the 5) principles enumerated in the code were deemed applicable to each incident, and each principle was applicable to more than half the incidents provided. Of the …

Robust Self-Training Strategy For Various Molecular Biology Prediction Tasks∗, Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang

Association of Computing Machinery Open Access Agreement Publications-Archive

Molecular biology prediction tasks suffer the limited labeled data problem since it normally demands a series of professional experiments to label the target molecule. Self-training is one of the semi-supervised learning paradigms that utilizes both labeled and unlabeled data. It trains a teacher model on labeled data, and uses it to generate pseudo labels for unlabeled data. The labeled and pseudo-labeled data are then combined to train a student model. However, the pseudo labels generated from the teacher model are not sufficiently accurate. Thus, we propose a robust self-training strategy by exploring robust loss function to handle such noisy labels, …

Modna: Motif-Oriented Pre-Training For Dna Language Model, Weizhi An, Yuzhi Guo, Yatao Bian, Hehuan Ma, Jinyu Yang, Chunyuan Li, Junzhou Huang

Association of Computing Machinery Open Access Agreement Publications-Archive

Obtaining informative representations of gene expression is crucial in predicting various downstream regulatory-related tasks such as promoter prediction and transcription factor binding sites prediction. Nevertheless, current supervised learning with insufficient labeled genomes limits the generalization capability of training a robust predictive model. Recently researchers model DNA sequences by self-supervised training and transfer the pre-trained genome representations to various downstream tasks. Instead of directly shifting the mask language learning to DNA sequence learning, we incorporate prior knowledge into genome language modeling representations. We propose a novel Motif-oriented DNA (MoDNA) pre-training framework, which is designed self-supervised and can be fine-tuned for different …

Faculty, Ferpa, And Covid-19, Marina Kaplan-Iosim

Seton Hall University Dissertations and Theses (ETDs)

This qualitative case study was conducted to understand the experiences of ten faculty participants at a private, not-for-profit, 4-year degree-granting, high research institution located in the Northeast United States, who needed to change from in-person instruction to remote teaching due to COVID-19 during Spring 2020, as they prepared to protect student privacy while teaching online. In addition, this study sought to better understand how faculty were protecting and sharing student data, PII, and other personal information during that time. Data for this study was collected through semi-structured interviews. Narrative methods informed my choice of interviewing because this method provided a …

Towards Automated Input Generation For Sketching Alloy Models, Ana Jovanovic, Allison Sullivan

Association of Computing Machinery Open Access Agreement Publications-Archive

Writing declarative models has numerous benefits, ranging from automated reasoning and correction of design-level properties before systems are built, to automated testing and debugging of their implementations after they are built. Alloy is a declarative modeling language that is well suited for verifying system designs. While Alloy comes deployed in the Analyzer, an automated scenario-finding tool set, writing correct models remains a difficult and error-prone task. ASketch is a synthesis framework that helps users build their Alloy models. ASketch takes as an input a partial Alloy models with holes and an AUnit test suite. As output, ASketch returns a completed …

Classification Of Alzheimer's Disease Via Vision Transformer: Classification Of Alzheimer's Disease Via Vision Transformer, Yanjun Lyu, Xiaowei Yu, Dajiang Zhu, Lu Zhang

Association of Computing Machinery Open Access Agreement Publications-Archive

Deep models are powerful in capturing the complex and non-linear relationship buried in brain imaging data. However, the huge number of parameters in deep models can easily overfit given limited imaging data samples. In this work, we proposed a cross-domain transfer learning method to solve the insufficient data problem in brain imaging domain by leveraging the knowledge learned in natural image domain. Specifically, we employed ViT as the backbone and firstly pretrained it using ImageNet-21K dataset and then transferred to the brain imaging dataset. A slice-wise convolution embedding method was developed to improve the standard patch operation in vanilla ViT. …

Person Identification And Tinetti Score Prediction Using Balance Parameters : A Machine Learning Approach To Determine Fall Risk, Varsha Rani Chawan, Manfred Huber, Nicholas Burns, Kathryn Daniel

Association of Computing Machinery Open Access Agreement Publications-Archive

This paper presents a Machine Learning approach using sensor data from a Smart Floor aimed at addressing a substantial health problem among the elderly population, namely falls. Studies show that one-third of community-dwelling people over age 65 will experience one or more falls each year. Balance and walking patterns are useful indicators to determine the fall risk and are influenced by several parameters and conditions. The Tinetti test is widely used to assess the gait and balance in elder adults to determine the perception of balance and stability during daily activities and fear of falling. It is considered a good …

Gan-Based Face Reconstruction For Masked-Face, Farnaz Farahanipad, Mohammad Rezaei, Mohammadsadegh Nasr, Farhad Kamangar, Vassilis Athitsos

Association of Computing Machinery Open Access Agreement Publications-Archive

Facial recognition and identification which play an important role in human-computer interaction, secure authentication and criminal face recognition, are impeded by the advent of face masks due to COVID-19 pandemic. This is a challenging problem due to the following reasons: (i) masks cover quite a large part of the face even below the chin, (ii) it is not possible to collect and prepare a real paired-face images with and without mask object, (iii) face alterations and the presence of different masks is even more challenging. In this work, we propose a general framework that can be used to reconstruct the …

An Investigation Of Quantitative Measures Of Sleep-Apnea-Induced Nocturnal Cardiac Stress, Pegah Askari, Mahrshi B. Jani, Donald E. Watenpaugh, Khosrow Behbehani

Association of Computing Machinery Open Access Agreement Publications-Archive

Obstructive Sleep Apnea (OSA) affects an estimated 18 million individuals in the U.S. adult population. Numerous research findings indicate that OSA has significant adverse effects on the cardiac health. Current method of assessing the severity of OSA using apnea hypopnea index (AHI) which is the average count of apneic events per hour of sleep does not reflect how OSA affects the cardiovascular system health. In this study, we investigate the possibility of analyzing the nocturnal Electrocardiography (ECG) signal to assess the adverse impact of sleep apnea events on the heart. Our approach focuses on determining whether nocturnal cardiac arrhythmia is …

Light-Weight Seated Posture Guidance System With Machine Learning And Computer Vision, Rithik Kapoor, Ashish Jaiswal, Fillia Makedon

Association of Computing Machinery Open Access Agreement Publications-Archive

In today’s world, the increased time people spend in front of their computers has been one of the main causes for neck and back pains. Especially, since the pandemic, it has been quite evident that slouching at home for long hours on hand-held devices and computers has led many people towards spinal pains and injuries. Backed with scientific research, it has been proven that these pains can be prevented with proper monitoring of the seated posture and taking breaks in between. This paper focuses on building a light-weight end-to-end system that monitors the user’s posture and provides feedback whenever it …

Automated System To Measure Static Balancing In Children To Assess Executive Function, Hamza Reza Pavel, Enamul Karim, Mohammad Zaki Zadeh, Ashish Jaiswal, Rithik Kapoor, Fillia Makedon

Association of Computing Machinery Open Access Agreement Publications-Archive

We present multiple methods based on computer vision and deep learning to automate the task of ”Balancing on one foot”. This is one of the Activate Test of Embodied Cognition (ATEC) tasks used to measure cognitive skills in children through physical activity. A dataset of 27 children performing the ATEC task is used to train and validate the deep learning models used to automate the task. As opposed to most balance identification systems that use sensors, our proposed approach relies only on computer vision which can be easily deployed at home or classroom environment, is portable, and cheap. Our proposed …

Large-Scale Self-Supervised Human Activity Recognition, Mohammad Zaki Zadeh, Ashish Jaiswal, Hamza Reza Pavel, Aref Hebri, Rithik Kapoor, Fillia Makedon

Association of Computing Machinery Open Access Agreement Publications-Archive

In this paper, a self-supervised approach is used to obtain an effective human activity representation using a limited set of annotated data. This research is aimed on acquiring human activity representation in order to improve the accuracy of classifying videos of human activities in the NTU RGB+D 120 dataset. The effectiveness of various self-supervised approaches, as well as a supervised method, is studied. The results reveal that when the training set gets smaller, the performance of supervised learning approaches diminishes, whereas self-supervised methods maintain their performance by utilizing unlabeled data.

Smartphone Based Iot-Controller Framework For Assisting The Blind In Human Robot Interaction, Harish Ram Nambiappan, Enamul Karim, Md Jillur Rahman Saurav, Anushka Srivastav, Nicholas Gans, Fillia Makedon

Association of Computing Machinery Open Access Agreement Publications-Archive

In this paper, a novel smartphone-based IoT-Controller Framework is proposed for effective interaction between robots and people who are blind. This framework focuses on assisting visually impaired users in a pick and place task scenario in contrast to previous works, which primarily focus on navigation and localization. The user can give speech commands to the robot using a smartphone application, which is sent to a server for recognition and retrieval of information such as positions and type of object to be grasped. The details are sent to the robot, which performs the commanded task. Preliminary tests with five participants over …

Practical Efficient Microservice Autoscaling With Qos Assurance, Md Rajib Hossen, Mohammad A. Islam, Kishwar Ahmed

Association of Computing Machinery Open Access Agreement Publications-Archive

Cloud applications are increasingly moving away from monolithic services to agile microservices-based deployments. However, efficient resource management for microservices poses a significant hurdle due to the sheer number of loosely coupled and interacting components. The interdependencies between various microservices make existing cloud resource autoscaling techniques ineffective. Meanwhile, machine learning (ML) based approaches that try to capture the complex relationships in microservices require extensive training data and cause intentional SLO violations. Moreover, these ML-heavy approaches are slow in adapting to dynamically changing microservice operating environments. In this paper, we propose PEMA (Practical Efficient Microservice Autoscaling), a lightweight microservice resource manager that …

Mississippi Institute Of Arts And Letters Honors Um Alumni, Faculty, Rebecca Lauck Cleary

Blog Posts

Six with UM ties among 2022 award winners The Mississippi Institute of Arts and Letters honored several University of Mississippi alumni and faculty members as part of its annual awards to accomplished individuals in various creative fields. UM alumni and faculty receiving 2022 awards from the MIAL are William Dunlap and Kenneth Holditch, recipients of the Noel Polk Lifetime Achievement Award; W. Ralph Eubanks, winner of the Nonfiction award for "A Place Like Mississippi: A Journey Through a Real and Imagined Literary Landscape"; Scott Barretta, Citation of Merit for hosting Mississippi Public Broadcasting's "Highway 61"; Bill Ellison, Citation of Merit …

Inequalities In (Trans)National Surrogacy: A Call For Examining Complex Lived Realities With An Empirical Lens, Heather Jacobson, Virginie Roze

SAGE Open Access Agreement Publications-Archive

Income disparity has become a mainstay of the international critique and public discourse on commercial surrogacy. Using existing empirical data, including our two respective field studies in India and the United States, we analyze surrogacy from a gender perspective and show how the visibility of gender disparities in a transnational context encourages assumptions at the local and national context. In doing so, we highlight the narrative of inequality, explore the complexity of surrogacy outside of a one-note narrative, and show how that narrative operates to overshadow the complex, lived experiences of those engaged in surrogacy.

Postsecondary Students With Disabilities: The History Of Higher Education Legislation, Toby Tomlinson Baker

The Scholarship Without Borders Journal

Legislation for SWDs led to the enrollment of postsecondary students with disabilities (SWDs) in higher education, but it has also created the increased prevalence of dropouts among postsecondary SWDs (NCES, 2020) Although postsecondary disability status has garnered attention, it continues to be neglected as a political need in higher education. Historically, postsecondary students with disabilities were discouraged from attending higher education settings (Madaus & Shaw, 2004). Disability laws were amended decades later, and therefore impacted the progress of students with disabilities. Thus, SWDs did not attend college since there was minimal activism by individuals seeking greater access to colleges and …

Ralph Eubanks Honored For Reflecting Mississippi, Rebecca Lauck Cleary

Blog Posts

Ralph Eubanks claims he is a nonfiction writer because he is bad at making things up, but his gentle grace in describing the beauty and pain of the landscape of Mississippi needs no fictionalization. The Mississippi Humanities Council has lauded Eubanks, visiting professor of English and Southern Studies at the University of Mississippi and writer-in-residence at the Center for the Study of Southern Culture, with a 2022 Public Humanities Award. The UM alumnus was presented the Reflecting Mississippi Award for his work as a memoirist and literary scholar.

2022 Great Expectations Spring Faculty Conference, Academic Affairs

Spring Great Expectation Faculty Conference

The 2022 Great Expectations Spring Faculty Conference featured a talk about renewal in file drawers facilitated by Alison Prindle (Professor Emerita of English, INST Chair 1987-1994) and Beth Daugherty (Professor Emerita of English, INST Chair 1994-2000).

After the talk, various groups and departments offered programs that talked about the experiences of the groups, the use of Open Education Resources, and integrating ecological knowledge into the curriculum. The day finished out with a discussion of the 2022-2023 common book, What The Eyes Don't See by Mona Hanna-Attisha.