Physical Sciences and Mathematics Commons^™

A Brief Treatise On Bayesian Inverse Regression., Debashis Chatterjee Dr.

Doctoral Theses

Inverse problems, where in a broad sense the task is to learn from the noisy response about some unknown function, usually represented as the argument of some known functional form, has received wide attention in the general scientific disciplines. However, apart from the class of traditional inverse problems, there exists another class of inverse problems, which qualify as more authentic class of inverse problems, but unfortunately did not receive as much attention.In a nutshell, the other class of inverse problems can be described as the problem of predicting the covariates corresponding to given responses and the rest of the data. …

Classroom And Computational Investigations Of Camel Up, Thomas J. Clark

Faculty Work Comprehensive List

Camel Up is a popular board game in which players score points by betting on camels which move randomly via a dice mechanic. The game is available both as a board game [1], as well as an IOS App [2]. Because of the random nature of the camels it is generally difficult to play optimally, but one can nevertheless develop various strategies. Probabilistic knowledge proves helpful in assigning relative value to potential game choices. We discuss how this game can be used to motivate and provide context for learning about the concepts of conditional probability and expected value. Also we …

Designing Collaborative Lifelogging To Facilitate Learning In Collaborative Physical-Recreation Communities, Sayed Mousa Ahmadi Olounabadi

Dissertations

Since the 1940s, researchers have envisioned lifelogging as the systematic capture and utilization of lived experiences for augmenting learning, performance, and community Unfortunately, this vision was never actualized since few, if any, systems support lifelogging in the term's original sense. Technologies that emerged through the Quantified-Self (QS) movement allowed users to monitor and track almost every life aspect. However, the decontextualized self-tracking data QS systems produced are unsuitable for supporting learning and community engagement, and therefore have not made lifelogging a reality yet. Central to this dissertation is understanding how to augment learning and community through lifelogging. This is particularly …

International Grassland Congress Outlook – A Historical Review And Future Expectations, L. R. Humphreys

IGC Proceedings (1993-2023)

Features of the history of the International Grassland Congress are mentioned. Aspects of a number of failed themes in grassland science are described with respect to molecular biology, intensive systems of ruminant production, carbohydrate use in plant growth, plant succession and range condition, and stocking method. Future expectations are focused on meeting a balance of objectives, maintaining reductionist science, taking new initiatives in plant improvement and in the development of animal production systems, and reducing barriers to international trade. The adoption of grassland science depends upon the growth of new learning, especially through cyclical interaction between scientists and farmers.

Diabetes Mellitus Affects Working Memory, Dylone C. Braganza, Emmanuel Flores, Lauren A. Crew, Ryan A. Wirt, Andrew A. Ortiz, Adam M. Mcneela, Jefferson W. Kinney, James M. Hyman

Spectra Undergraduate Research Journal

Alzheimer’s disease (AD) degrades the brain’s ability to remember, think, and carry out tasks. The exact cause is not known, but several risk factors have been identified, including diabetes mellitus (DM). DM causes elevated blood sugar levels due to reduced insulin production in the pancreas. The linkage between elevated glucose levels and the behavioral impairments are not fully understood, which was the focus of this study. Rats were trained to alternate directions in a maze to receive a reward on consecutive trials. After training, five rats were injected with streptozotocin (STZ), which induces hyperglycemia by injuring pancreatic beta cells. Three …

Recent Innovations In Education‐Extension‐Research Networks Of Industrialised Agricultures, Mark Paine, Marianne Cerf

IGC Proceedings (1993-2023)

No abstract provided.

Reflecting On, And Revising, International Best Practice Principles For Eia Follow-Up, Angus Morrison-Saunders, Jos Arts, Alan Bond, Jenny Pope, Francois Retief

Research outputs 2014 to 2021

Follow-up is a vital component of Environmental Impact Assessment (EIA), being essential for understanding assessment outcomes. Long-standing international best practice principles for EIA follow-up are reviewed, and revisions proposed, based on workshops with academics and practitioners, literature review and self-reflection. The proposed revision of EIA follow-up principles will feature an introduction with a simple definition and explanation of objectives for follow-up, and 15 principles. The revised principles address: objective; context; early establishment; project life-cycle; transparency; accessibility; accountability; performance criteria provision; enforcement; learning; adaptive environmental management; flexible or adaptive approach; tiering; cumulative effects and overall performance evaluation. Through publishing this proposal, …

More Than Meets The Eye; Accessibility Of Scientific Information Through Art, Rachael Barrows

WWU Honors College Senior Projects

Science is inaccessible to learn in a myriad of ways. Financially it can be difficult to get information. It can also be hard to look up information on your own without knowing what to look for. Teaching science also involves a lot of reading that can be difficult for some disabilities. Through art, however, science can become more accessible, both to share and to learn. Visual learning benefits understanding and retention of information as well as creates clearer holistic concepts. Through paintings, this project shares some scientific information, exploring a way to share and teach science that is more accessible.

Pandemic Pivot: Designing A Participatory Simulation To Support Social Distancing And Remote Learning, K. K. Lamberty, Paul Friederichsen, Audrey Le Meur, Joseph Moonan Walbran

Computer Science Publications

Participatory simulations usually aim to bring simulations off screen into a shared physical space with people acting as agents in the simulation. In this paper, we describe considerations and design decisions related to creating a participatory simulation for use in learning settings with restrictions imposed due to the COVID-19 pandemic where typical classroom interactions were no longer allowed. We describe how our design decisions might help children both “dive in” and “step out” to understand more about pollinators and the prairie in spite of various restrictions on how exactly they can interact with each other. Our simulation, Buzz About, uses …

Game-Based Learning In Science: Can Video Games Simplify Organic Chemistry?, Rachel Israel

Senior Honors Theses

Organic chemistry has been taught in the same way for decades, and students still have difficulty understanding and comprehending the subject material. Perhaps it is time to change the methods by which this subject is taught. Video games have been successfully used in education to create learning environments that increase student motivation and engagement as well as challenge students and promote collaboration. It is difficult for students to maintain a growth mindset in organic chemistry within the classroom. However across different genres, video games create a unique environment where an individual is encouraged to try again when they fail. This …

An In-Depth Look At Learning Computer Language Syntax In A High-Repetition Practice Environment, Stephanie Gonzales

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Students in an introductory computer science course generally have difficulty producing code that follows the arrangement rules known as syntax. Phanon was created to help students practice writing correct code that follows the rules of syntax. Previous research suggests this tool has helped students improve their exam scores and strengthen effectiveness in the course. A study was conducted to observe students while they complete the syntax exercises to find meaningful patterns in the steps the students take to complete an exercise.

Evidence to support high intrinsic load was found throughout the study, which is a measure of difficulty learning a …

Identify Rna-Associated Subcellular Localizations Based On Multi-Label Learning Using Chou’S 5-Steps Rule, Hao Wang, Yijie Ding, Jijun Tang Ph.D., Quan Zou, Fei Guo

Faculty Publications

Background: Biological functions of biomolecules rely on the cellular compartments where they are located in cells. Importantly, RNAs are assigned in specific locations of a cell, enabling the cell to implement diverse biochemical processes in the way of concurrency. However, lots of existing RNA subcellular localization classifiers only solve the problem of single-label classification. It is of great practical significance to expand RNA subcellular localization into multi-label classification problem.

Results: In this study, we extract multi-label classification datasets about RNA-associated subcellular localizations on various types of RNAs, and then construct subcellular localization datasets on four RNA categories. In order to …

Improving Landsat Predictions Of Rangeland Fractional Cover With Multi-Task Learning And Uncertainty, B.W. Allred, B. Bestelmeyer, C.S. Boyd, C. Brown, K.W. Davies, M. Ellsworth, T. Erickson, S.D. Fuhlendorf, T.V. Griffiths, V. Jansen, M.O. Jones, J. Karl, A. Knight, J.D. Maestas, J.J. Maynard, S.E. Mccord, D.E. Naugle, H.D. Starns, D. Twidwell, D.R. Uden

School of Natural Resources: Faculty Publications

No abstract provided.

Learning Across Disciplines In Socio-Environmental Problem Framing, D. Pennington, R. Bonnstetter, E. Gehrig, R. Stokes

School of Natural Resources: Faculty Publications

No abstract provided.

Evaluating Student Attitudes And Learning At Remote Collegiate Soil Judging Events, R. Owen, A. Anderson, A. Bhandari, K. Clark, M. Davis, A. Dere, N. Jelinski, C. Moorberg, K. Osterloh, D. Presley, J. Turk, R. Young

School of Natural Resources: Faculty Publications

No abstract provided.

A Rebellion Framework With Learning For Goal-Driven Autonomy, Zahiduddin Mohammad

Browse all Theses and Dissertations

Modeling an autonomous agent that decides for itself what actions to take to achieve its goals is a central objective of artificial intelligence. There are various approaches used to build autonomous agents including neural networks, state machines, utility functions, learning agents, and cognitive architectures. In this thesis, we focus on cognitive architectures. Our approach uses specific knowledge of the world, the goals they pursue, and the actions being performed. Most agents do what they are told (i.e., achieve the goals given to them by a human), but a genuinely autonomous agent does more. It can formulate its own goal or …