Digital Commons Network^™

Interaction With Augmented Reality Sandbox Does Not Produce Greater Gains In Topographic Map Skills For Undergraduate Students, Celeste Kenworthy

Honors Program: Senior Projects (Public)

The augmented reality (AR) sandbox allows students to interact with topographic maps in a 3D space. Being able to understand topographic maps is important to geologists and they are taught in many introductory geology courses. Recent research has focused on whether the AR sandbox can improve students’ topographic map skills. Previous studies have found that students who interact with the AR sandbox do not score significantly better on topographic map assessments (TMAs) than their peers. One proposed reason for this is the limited time students have to interact with the AR sandbox. This study sought to address this by creating …

Course Outline And Weekly Plans For Eds 705 Eds 705 Practicum In Curriculum And Instruction For Culturally And Linguistically Diverse Young Children, Lisa Cavallero

Open Educational Resources

Topics covered in this course include: interest inventories, assessing students, online tools for assessment, lesson planning, standards, IEPs, diverse classroom, growth mindset.

This course outline includes:

• all assignments for the course (link to assignments packet).
• links to lecture slides
• instructor notes
• additional resources

Note: users will be prompted to make their own copy of documents when clicking on links to Google Docs and Google Slides.

Using Incremental Ensemble Learning Techniques To Design Portable Intrusion Detection For Computationally Constraint Systems, Promise Ricardo Agbedanu, James Rwigema, Richard Musabe, Ignace Gatare

All Rsif Scholars' Publications

Computers have evolved over the years, and as the evolution continues, we have been ushered into an era where high-speed internet has made it possible for devices in our homes, hospital, energy, and industry to communicate with each other. This era is known as the Internet of Things (IoT). IoT has several benefits in a country’s economy’s health, energy, transportation, and agriculture sectors. These enormous benefits, coupled with the computational constraint of IoT devices, make it challenging to deploy enhanced security protocols on them, making IoT devices a target of cyber-attacks. One approach that has been used in traditional computing …

Recent Advances In Thermochemical Conversion Of Biomass Into Drop-In Fuel:A Review, Ishaq Kariim, Hulda Swai, Thomas Kivevele

All Rsif Scholars' Publications

The global evolutional changes towards the use of renewable energy sources for transportation purposes are on the increase in an attempt to mitigate the environmental hazard and the proposed depletion associated with fossil fuel resources. Pyrolysis and hydrothermal processes of biomass conversion into renewable biofuels are resulted into the production of biocrude with high oxygen content due to the presence of large amount of oxygenates in biomass feedstocks. The presence of oxygen content in bio-oil causes corrosion, low heating value, instability and high viscosity in bio-oil. These challenges have necessitated the application of upgrading techniques such as catalytic hydrodeoxygenation process …

Effects Of Polyethylene Oxide Particles On The Photo-Physical Properties And Stability Of Fa-Rich Perovskite Solar Cells, Richard Kipyegon Koech, Yusuf A. Olanrewaju, Reisya Ichwani, Moses Kigozi, Deborah O. Oyewole, Omolara V. Oyelade, Dahiru M. Sanni, Sharafadeen A. Adeniji, Erika Colin‑Ulloa, Lyubov V. Titova, Julia L. Martin, Ronald L. Grimm, Abdulhakeem Bello, Oluwaseun K. Oyewole, Esidor Ntsoenzok, Winston O. Soboyejo

All Rsif Scholars' Publications

n this paper, we use Polyethylene Oxide (PEO) particles to control the morphology of Formamidinium (FA)‑rich perovskite films and achieve large grains with improved optoelectronic properties. Consequently, a planar perovskite solar cell (PSC) is fabricated with additions of 5 wt% of PEO, and the highest PCE of 18.03% was obtained. This solar cell is also shown to retain up to 80% of its initial PCE after about 140 h of storage under the ambient conditions (average relative humidity of 62.5 ± 3.25%) in an unencapsulated state. Furthermore, the steady‑state PCE of the PEO‑modified PSC device remained stable for long (over …

Explanation-Driven Deep Learning Model For Prediction Of Brain Tumour Status Using Mri Image Data, Loveleen Gaur, Mohan Bhandari, Tanvi Razdan, Saurav Mallik, Zhongming Zhao

Faculty, Staff and Student Publications

Cancer research has seen explosive development exploring deep learning (DL) techniques for analysing magnetic resonance imaging (MRI) images for predicting brain tumours. We have observed a substantial gap in explanation, interpretability, and high accuracy for DL models. Consequently, we propose an explanation-driven DL model by utilising a convolutional neural network (CNN), local interpretable model-agnostic explanation (LIME), and Shapley additive explanation (SHAP) for the prediction of discrete subtypes of brain tumours (meningioma, glioma, and pituitary) using an MRI image dataset. Unlike previous models, our model used a dual-input CNN approach to prevail over the classification challenge with images of inferior quality …

Breast Cancer Detection: Shallow Convolutional Neural Network Against Deep Convolutional Neural Networks Based Approach, Himanish Shekhar Das, Akalpita Das, Anupal Neog, Saurav Mallik, Kangkana Bora, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Of all the cancers that afflict women, breast cancer (BC) has the second-highest mortality rate, and it is also believed to be the primary cause of the high death rate. Breast cancer is the most common cancer that affects women globally. There are two types of breast tumors: benign (less harmful and unlikely to become breast cancer) and malignant (which are very dangerous and might result in aberrant cells that could result in cancer).

Methods: To find breast abnormalities like masses and micro-calcifications, competent and educated radiologists often examine mammographic images. This study focuses on computer-aided diagnosis to help …

Prediction Of Fluid Intelligence From T1-W Mri Images: A Precise Two-Step Deep Learning Framework, Mingliang Li, Mingfeng Jiang, Guangming Zhang, Yujun Liu, Xiaobo Zhou

Faculty, Staff and Student Publications

The Adolescent Brain Cognitive Development (ABCD) Neurocognitive Prediction Challenge (ABCD-NP-Challenge) is a community-driven competition that challenges competitors to develop algorithms to predict fluid intelligence scores from T1-w MRI images. In this work, a two-step deep learning pipeline is proposed to improve the prediction accuracy of fluid intelligence scores. In terms of the first step, the main contributions of this study include the following: (1) the concepts of the residual network (ResNet) and the squeeze-and-excitation network (SENet) are utilized to improve the original 3D U-Net; (2) in the segmentation process, the pixels in symmetrical brain regions are assigned the same label; …

The Other Legacy Of Qasim Amin: The View From 1908, Hoda Yousef

Faculty Publications

No abstract provided.

Both Consumptive And Non-Consumptive Effects Of Predators Impact Mosquito Populations And Have Implications For Disease Transmission, Marie C. Russell, Catherine M. Herzog, Zachary Gajewski, Chloe Ramsay, Andy Mccall

Faculty Publications

No abstract provided.

Toward Liquid Cell Quantum Sensing: Ytterbium Complexes With Ultra-Narrow Absorption, Ashley J. Shin, Changling Zhao, Yi Shen, Claire E. Dickerson, Timothy Luke Atallah

Faculty Publications

No abstract provided.

Local Biodiversity Change Reflects Interactions Among Changing Abundance, Evenness, And Richness, Shane A. Blowes, Gergana N. Daskalova, Maria Dornelas, Thore Engel, Nicholas J. Gotelli, Anne E. Magurran, Ines S. Martins, Brian Mcgill, Daniel J. Mcglinn, Alban Sagouis, Hideyasu Shimadzu, Sarah R. Supp, Jonathan M. Chase

Faculty Publications

No abstract provided.

Meet The Staff

The Synapse: Intercollegiate science magazine

No abstract provided.

Left On Red: The Chemistry Of Color, Rebecca Fenselau, Kayla Bertholf

The Synapse: Intercollegiate science magazine

No abstract provided.

How Machine Learning Will Change Our World: How Machine Learning Can Make Life Easier - And A Bit More Complicated, Sakin Kirti

The Synapse: Intercollegiate science magazine

No abstract provided.

Monkey See, Humans Too: Understanding The Link Between Sight And Smell In Five Primate Species, Paul Kamitsuka, Evan Swanson

The Synapse: Intercollegiate science magazine

No abstract provided.

Eczema And Mental Health: The Silent Struggle Of Skin Disorders, Bhavana Huliyar

The Synapse: Intercollegiate science magazine

No abstract provided.

The Acoustics Of Concert Halls: Where Science, Music, & Visual Arts Meet, Norah Han

The Synapse: Intercollegiate science magazine

No abstract provided.

Emulsifiers: The Hidden Ingredients Holding Our Food Together, Joey O'Donnell

The Synapse: Intercollegiate science magazine

No abstract provided.

Earth's Other Lung: Phytoplankton, Sarah Barney

The Synapse: Intercollegiate science magazine

No abstract provided.

What Your Ears "Say" About You: Otoacoustic Emissions, Fay Levin

The Synapse: Intercollegiate science magazine

No abstract provided.

Microplastics In Coral Reef Skeletons: A Threat To Coastal Ecosystems And A Reservoir For Pollutants, Isabelle Small

The Synapse: Intercollegiate science magazine

No abstract provided.

The Food Dye Is Cast: What They Are, Why We Need Them, And If They Are Killing Us, Joey O'Donnel

The Synapse: Intercollegiate science magazine

No abstract provided.

Cerebral Palsy: Understanding The Disease, My Trinh

The Synapse: Intercollegiate science magazine

No abstract provided.

The Tale Of George Wright, Caroline Ward

The Synapse: Intercollegiate science magazine

No abstract provided.

Untitled (Illustration), Isabel Giammusso

The Synapse: Intercollegiate science magazine

No abstract provided.

Untitled (Illustration), Shruti Narayan

The Synapse: Intercollegiate science magazine

No abstract provided.

Untitled (Illustration), Sophia Mira

The Synapse: Intercollegiate science magazine

No abstract provided.

The Synapse 32

The Synapse: Intercollegiate science magazine

No abstract provided.

The Ubiquitous Plastic Pollution Problem: A New Solution Found Through Rebranding Recycling Labels, Sydney Rosensaft

The Synapse: Intercollegiate science magazine

No abstract provided.