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Using Scratch Wound Assay To Study The Effect Of Soil Arsenic On Human Keratinocyte Cell Migration Due To Contact Exposure, Manas Warke, Laura De March, Srinivas Kannan, Madeline English, Rohan Sarkar, Rupali Datta, Smitha Rao

Michigan Tech Research Data

The scratch wound assay was performed on Human immortalized keratinocytes (HaCaT) cells to observe the effect on cell migration due to contact exposure to arsenic-contaminated Immokalee soil. The cell migration was observed through a microscope for 72 h. HaCaT cells were seeded in 48-well plate. On day 3, treatment media was added (n=8). The cells were treated with four concentrations of soil As (45, 225, 450, and 900 mg/kg) and two controls - Negative control (NC; Pure media) and control (C; 0 mg/kg soil As) for 72 h. A scratch was made using a pipette tip. The wound healing was …

Using Scratch Wound Assay To Study The Effect Of Soil Arsenic On Human Dermal Fibroblasts Cell Migration Due To Contact Exposure, Manas Warke, Laura De Marchi, Srinivas Kannan, Madeline English, Rohan Sarkar, Rupali Datta, Smitha Rao

Michigan Tech Research Data

The scratch wound assay was performed on Normal Human Primary Dermal Fibroblasts (HDFa) cells to observe the effect on cell migration due to contact exposure to arsenic-contaminated Immokalee soil. The cell migration was observed through a microscope for 72 h. HDFa cells were seeded in 48-well plate. On day 3, treatment media was added (n=8). The cells were treated with four concentrations of soil As (45, 225, 450, and 900 mg/kg) and two controls - Negative control (NC; Pure media) and control (C; 0 mg/kg soil As) for 72 h. A scratch was made using a pipette tip. The wound …

Metabolites From Trypanosome-Infected Cattle As Sensitive Biomarkers For Animal Trypanosomosis, Merid N. Getahun, John Ngiela, John Mark O. Makwatta, Peter Ahuya, Tawich K. Simon, Samuel K. Kamau, Baldwyn Torto, Daniel Masiga

All Peer-Reviewed Publications

Trypanosomes are important global livestock and human pathogens of public health importance. Elucidating the chemical mechanisms of trypanosome-relevant host interactions can enhance the design and development of a novel, next-generation trypanosomosis diagnostics. However, it is unknown how trypanosome infection affects livestock volatile odors. Here, we show that Trypanosoma congolense and Trypanosoma vivax infections induced dihydro-β- ionone and junenol, while abundance of dihydro-α-ionone, phenolics, p-cresol, and 3-propylphenol significantly elevated in cow urine. These biomarkers of trypanosome infection are conserved in cow breath and the urine metabolites of naturally infected cows, regardless of population, diet, or environment differences. Furthermore, treating trypanosome-infected cows …

Dataset For 1 M Resolution Snow Depth, Topographical, And Vegetation Structural Metrics, Ahmad Hojatimalekshah, Nancy F. Glenn, Josh Enterkine

Boise Center Aerospace Laboratory Data

The dataset is a collection of 1m resolution snow depth, elevation, aspect, slope, canopy percent cover, canopy height, foliage height diversity (FHD) with 0.5 m, 1 m, and 2 m voxel sizes. We processed lidar data of Grand Mesa, Colorado, representing a data collection effort by the NASA SnowEx campaign. Using the data we investigate how structural diversity and topography affect snow depth patterns. Snow depth is computed by snow-off and snow-on dataset from September 2016 and February 2020, respectively. Snow-off lidar data were collected by the Airborne Snow Observatory (ASO), lidar system created by NASA/JPL. Snow-on lidar data are …

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. …

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 …

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 …

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 …

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 …

Sticky Floors And Glass Ceilings: Gender Wage Gap In Egypt, Mona Said, Mahdi Majbouri, Ghada Barsoum

Faculty Journal Articles

The fact that the Middle East and North Africa (MENA) region has the lowest labor force participation rate for women in the world has been extensively studied, but discrimination in pay against working women has received considerably less attention. Using recently available datasets, this study examines the distribution of wages (inequality) across men and women employed in the public versus the private sector in Egypt. The analysis shows that because working women tend to be more educated than working men, the gender wage gap would have been larger if women had the same endowments. Quantile regressions and recentered influence functions …

Usu 1730 Online Library Workshop (Outdated), Usu Libraries

All E-Learning Resources

Attention: As of 2026 updated versions of this item will no longer be available on Digital Commons. Please contact [email protected] for more information.

Introduces students to information literacy, evaluating sources, and Donovan's Dilemma.

Egypt: How And Why A Heavily Indebted Country In The 1980s Emerged Solvent, Adel Beshai, Maryam Abouzeid

Faculty Journal Articles

This article deals with Egypt's debt crisis experience of the 1980s, which marked its own place in history. By the 1980s Egypt had a savings-investment gap; an export import gap; and a gap between government revenue and expenditure. The textbook answer was the Washington Consensus. Towards the end of the 1980s Egypt's military debt plus an interest rate of 15 per cent put the country in a situation where it wanted the debt to be cancelled. The USA responded that debt forgiveness wouldn’t be possible given the laws of the land. However, with Egypt’s participation in the liberation of Kuwait …

Kinetics, Products, And Brown Carbon Formation By Aqueous-Phase Reactions Of Glycolaldehyde With Atmospheric Amines And Ammonium Sulfate (Raw Data), David O. De Haan, Alyssa A. Rodriguez, Michael A. Rafla, Hannah G. Welsh, Elyse A. Pennington, Jason R. Casar, Lelia N. Hawkins, Natalie G. Jimenez, Alexia De Loera, Devoun R. Stewart, Antonio Rojas, Matthew-Khoa Tran, Peng Lin, Alexander Laskin, Paola Formenti, Mathieu Cazaunau, Edouard Pangui, Jean-François Doussin

Chemistry and Biochemistry: Faculty Scholarship

The zipped data files are in the following formats: Metadata: Word documents (.docx), Chamber data: Excel spreadsheets (.xlsx) and European Data Format files (.edf), organized by experiment number and instrumentation. “CAPS” files contain cavity attenuated phase shift (CAPS) extinction and scattering data; “SMPS” files contain scanning mobility particle sizing aerosol number and aerosol mass data.

Disseminating The Living Story: Promoting Youth Awareness Of Lebanon Contested Heritage, Gehan Selim, Nabil Mohareb, Eslam Eslamahy

Faculty Journal Articles

This article introduces an intervention framework to build the capacity of Lebanese youth to participate in effectively preserving Beirut’s heritage. Despite the current sectarian politics, enabling the youth to voice their narratives of the lived everyday contestation could herald their substantial contribution to the city’s urban reconciliation and peace-making process with the past. Through interviews and focus groups within the wider academic community, NGOs, and activists in Lebanon, the youth reflected on their interpretations of contestation and which elements of the local contested heritage are authentic. We argue that such authenticity is gained through lived space and experience, as we …

2001 Mars Odyssey Gamma Ray Spectrometer Element Concentration Maps, A. Rani, A. Basu Sarbadhikari, D. R. Hood, O. Gasnault, S. Nambiar, S. Karunatillake

Planetary Science Lab

Chemical provinces were defined on Mars a decade ago using orbital nuclear spectroscopy of K, Th, Fe, Si, Ca, Cl, and H2O. However, past multivariate analyses yielded three sets of provinces, suggesting methodologic variability. Province-stability to the inclusion of Al and S is also unknown, presenting additional uncertainties for geologic insight. Here we consolidate key multivariate methods to define the first cross-validated provinces. In southern highlands, the highly incompatible K and Th show non-uniform distribution with higher values in mid Noachian and Hesperian than late Noachian – early Hesperian volcanic terrains. Silica- and Al-depletion trends from Noachian to Amazonian indicate …

Womans Exponent Transcription File For Download, Lula Greene Richards, Emmeline B. Wells, Annie Wells Cannon, Harold B. Lee Library

The Woman’s Exponent Transcription

No abstract provided.

Outcomes After Intracranial Rescue Stenting For Acute Ischemic Stroke, Christine Tschoe, Joshua Osbun, Et Al.

2020-Current year OA Pubs

BACKGROUND: In cases of failed recanalization despite modern mechanical thrombectomy (MT) techniques, intracranial rescue stenting (RS) may be beneficial. However, outcomes and complications of RS relative to the natural history of ongoing emergent large vessel occlusion are unknown. To evaluate whether RS for ongoing emergent large vessel occlusion after failed MT achieves superior outcomes to the natural history of persistent emergent large vessel occlusion.

METHODS: Patients from the Stroke Thrombectomy and Aneurysm Registry who underwent RS after failed MT from 2014 to 2019 were analyzed. For outcome comparisons, patients were screened for inclusion/exclusion criteria of 3 major randomized, controlled MT …

Radar Simulator Output Used For Tracking Isolated Convections, Mariko Oue, Mariko Oue

SoMAS Research Data

No abstract provided.

Indigenize Milwaukee Map Data, Bryan C. Rindfleisch, Alex Liberato, Cameron Fronczak, Clare Camblin, Marshall Kopacki

Digital Scholarship Lab

The CSV file for the Indigenize Milwaukee Map located at https://indigenizemilwaukeeproject.github.io/map. The map uses Leaflet Story Maps with Google Sheets.

This file is updated annually.

Disentangling Thermal Effects Using Life Cycle Simulation Modelling On The Biology And Demographic Parameters Of Dolichogenidea Gelechiidivoris, A Parasitoid Of Tuta Absoluta, Pascal O. Aigbedion-Atalor, Martin P. Hill, Abdelmutalab G.A. Azrag, Myron P. Zalucki, Samira A. Mohamed

All Peer-Reviewed Publications

Dolichogenidea gelechiidivoris (Marsh) (Syn. Apanteles gelechiidivoris) (Hymenoptera: Braconidae), a konoibiont larval endoparasitoid of the South American tomato pinworm Tuta absoluta (Meyrick), was imported into Kenya in 2017 for the first classical biological control of T. absoluta in Africa. We determined the thermal thresholds of D. gelechiidivoris, with T. absoluta as host, using life cycle simulation modelling. Life-table data of D. gelechiidivoris were generated at six constant temperatures (10, 15, 20, 25, 30, and 35 °C, 65 ± 5% RH, and 12L: 12D photoperiod). Multiple non-linear functions were fitted to model some aspects of the biology of the parasitoid, including its …

Microhabitat And Patch Selection Detection From Gps Tracking Collars Of Semi-Free Ranging Mashona Cattle Within A Semi-Arid Environment, C. Gwatirisa, B. T. Mudereri, T. Chitata, C. Mukanga, M. M. Ngwenya, J. V. Muzvondiwa, R. Mugandani, M. Sungirai

All Peer-Reviewed Publications

Over the last 30 years, the global positioning system (GPS) tracking collars have significantly enhanced livestock grazing behavior studies. Practices designed to understand and improve livestock grazing distribution can now be accurately and cost-effectively monitored with GPS tracking. The behavior and spatiotemporal microhabitat selection of Mashona cattle relative to the season in a semi-free-range grazing system was evaluated using a low‐cost GPS herd activity monitoring (GPSHAM) collar. The GPSHAM automatically logged the position of the lead cow at 20-second intervals over a 7–hour daily grazing period. Additionally, the GPS data was complemented by visually observing the lead cow during daylight …

A Fungal-Based Pesticide Does Not Harm Pollination Service Provided By The African Stingless Bee Meliponula Ferruginea On Cucumber (Cucumis Sativus), Evanson R. Omuse, Saliou Niassy, Nkoba Kiatoko, H. Michael G. Lattorff, John M. Wagacha, Thomas Dubois

All Peer-Reviewed Publications

Stingless bees (Apidae: Meliponini) provide pollination services to crops and produce high–quality honey. The application of agrochemicals during the management of crop pests is an increasing threat to pollinators and the ecosystem services they provide. Biopesticides are considered as better alternatives; however, there is limited evidence of their impact on stingless bees. We evaluated the effect of the most widely used African fungal biopesticide (Metarhizium anisopliae ICIPE 69) on mortality, foraging behavior and pollination success of the African stingless bee Meliponula ferruginea under semi-field conditions. Colonies of M. ferruginea were introduced into four 24 m2 greenhouse compartments containing blooming cucumber …

Cassava-Maize Intercropping Systems In Southern Nigeria: Radiation Use Efficiency, Soil Moisture Dynamics, And Yields Of Component Crops, Charles Chigemezu Nwokoro, Christine Kreye, Magdalena Necpalova, Olojede Adeyemi, Matti Barthel, Pieter Pypers, Stefan Hauser, Johan Six

All Peer-Reviewed Publications

Efficient utilization of incident solar radiation and rainwater conservation in rain-fed smallholder cropping systems require the development and adoption of cropping systems with high resource use efficiency. Due to the popularity of cassava-maize intercropping and the food security and economic importance of both crops in Nigeria, we investigated options to improve interception of photosynthetically active radiation (IPAR), radiation use efficiency (RUE), soil moisture retention, and yields of cassava and maize in cassava-maize intercropping systems in 8 on-farm researcher-managed multi-location trials between 2017 and 2019 in different agro-ecologies of southern Nigeria. Treatments were a combination of (1) maize planting density (low …

Scalloped Hammerhead (Sphyrna Lewini) Jaw, Daria W. Ghegan, Brittney Dreyer, David Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

Jaw prep from Sphyrna lewini (Scalloped Hammerhead) obtained from the NSU Fisheries and Avian Ecology

Al-Ghazālī, Averroes And The Critique Of Avicenna’S Metaphysics, Ahmed El-Sayed Abdel Meguid

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

Talk by Dr. Ahmed Abdelmeguid “Al-Ghazālī, Averroes and the Critique of Avicenna’s Metaphysics: An Arabic Premodern Critique of Essentialism and Naturalism Ahmed Abdel Meguid is an Assistant Professor in the Department of Philosophy at the American University in Cairo (AUC), Cairo, Egypt. He earned his BA at AUC and his MA and PhD in Philosophy at Emory University. He has presented papers at key institutions in North America and Europe including Harvard, Yale, Oxford, and was recently a fellow of the Center for Ethics at the University of Toronto. His research draws on Islamic andGerman philosophy focusing on metaphysics and …

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 …

The Big Book Project, Atreyee Majumder, Bhavin Patel

Popular Media

No abstract provided.