Digital Commons Network^™

Comparative Life Cycle Assessment Of Copper Production, Xiaohan Wu

Graduate Industrial Research Symposium

Copper demand will surge significantly in the context of global renewable energy technology implementation, but its production is an energy-intensive process. It is crucial to choose the best production method to reduce environmental damage in terms of the enormous copper supply. This research develops a multi-criteria life cycle assessment model for the three main copper production routes- pyrometallurgy, hydrometallurgy, and bioleaching. We complied material and energy flow data to assess each route's life cycle greenhouse gas (GHG) emissions, cost, and resource efficiency. Results indicate bioleaching emits the least GHG emissions (4.09 kg-CO2 eq/kg copper) among the three routes. Hydrometallurgy is …

Characterization Of Biological Particles Using An Integrated Hyperspectral Imaging And Machine Learning, Kaeul Lim, Arezoo Ardekani

Graduate Industrial Research Symposium

Hyperspectral imaging (HSI) is a promising modality in medicine with many potential applications. This study focuses on developing a label-free lipid nanoparticle characterization method using a convolutional neural network (CNN) analysis of HSI images. The HSI data, hypercube, consists of a series of images acquired at different wavelengths for the same field of view, providing continuous spectra information for each pixel. Three distinct liposome samples were collected for analysis. Advanced image preprocessing and classification methods for HSI data were developed to differentiate liposomes based on their material compositions. Our machine learning-based classification method was able to distinguish different liposome types …

Sepsis Treatment: Reinforced Sequential Decision-Making For Saving Lives, Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal

Graduate Industrial Research Symposium

Sepsis, a life-threatening condition triggered by the body's exaggerated response to infection, demands urgent intervention to prevent severe complications. Existing machine learning methods for managing sepsis struggle in offline scenarios, exhibiting suboptimal performance with survival rates below 50%. Our project introduces the "PosNegDM: Reinforcement Learning with Positive and Negative Demonstrations for Sequential Decision-Making" framework utilizing an innovative transformer-based model and a feedback reinforcer to replicate expert actions while considering individual patient characteristics. A mortality classifier with 96.7% accuracy guides treatment decisions towards positive outcomes. The PosNegDM framework significantly improves patient survival, saving 97.39% of patients and outperforming established machine learning …

Online Class-Incremental Learning For Real-World Food Image Classification, Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu

Graduate Industrial Research Symposium

Food image classification is essential for monitoring health and tracking dietary in image-based dietary assessment methods. However, conventional systems often rely on static datasets with fixed classes and uniform distribution. In contrast, real-world food consumption patterns, shaped by cultural, economic, and personal influences, involve dynamic and evolving data. Thus, it requires the classification system to cope with continuously evolving data. Online Class Incremental Learning (OCIL) addresses the challenge of learning continuously from a single-pass data stream while adapting to the new knowledge and reducing catastrophic forgetting. Experience Replay (ER) based OCIL methods store a small portion of previous data and …

Modelling The "Bottom-Up" Development Pattern Of Tar Spot Disease In Corn, Brenden Lane, Joaquín Guillermo Ramírez-Gil, Carlos Góngora-Canul, Mariela Sofia Fernandez Campos, Andres Cruz-Sancan, Fidel E. Jiménez-Beitia, Alex G. Acosta-Guatemal, Wily Sic, C. D. Cruz

Graduate Industrial Research Symposium

In 2015, the corn-infecting pathogen Phyllachora maydis (causal agent of tar spot disease) was reported for the first time in the United States. The disease has since spread across the US, causing major yield losses. In 2021 alone, 5.88 million metric tons (231.3 million bushels) of US corn yield were lost to this disease, costing an estimated US$1.25 billion. Though fungicides can protect against these agroeconomic losses, application timing can be difficult to optimize because our understanding of tar spot dynamics is still evolving. The current view is that tar spot typically develops bottom-up through a repeating infection cycle. Because …

A Machine Learning Model Of Perturb-Seq Data For Use In Space Flight Gene Expression Profile Analysis, Liam F. Johnson, James Casaletto, Lauren Sanders, Sylvain Costes

Graduate Industrial Research Symposium

The genetic perturbations caused by spaceflight on biological systems tend to have a system-wide effect which is often difficult to deconvolute it into individual signals with specific points of origin. Single cell multi-omic data can provide a profile of the perturbational effects, but does not necessarily indicate the initial point of interference within the network. The objective of this project is to take advantage of large scale and genome-wide perturbational datasets by using them to train a tuned machine learning model that is capable of predicting the effects of unseen perturbations in new data. Perturb-Seq datasets are large libraries of …

Accuracy Of Acr-Tirads In Assessment And Diagnosis Of Thyroid Nodules In Patients Underwent Thyroid Surgery In Taksin Hospital, Worawan Chainamnan

Chulalongkorn Medical Journal

Abstract:

Background:

Ultrasound is generally considered to evaluate thyroid nodule sonographic morphology. The ultrasound-based risk stratification systems have been used to assess the probability of cancer in thyroid nodules.

Objective:

To determine the efficacy of ultrasound-based American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) in estimating the risk of malignancy in thyroid nodules.

Methods:

A descriptive retrospective cross-sectional study was conducted in Taksin Hospital. In total, 324 patients with thyroid nodules underwent sonography and surgery, which pathological diagnosis were available, from January 2008 to April 2022. The ACR-TIRADS and ultrasound features were used to determine the risk …

مدى تفعيل التعليم المدمج في تدريس اللغة الإنجليزية وانعكاسه على التحصيل الدراسي لدى طلبة الصف الخامس الأساسي في محافظة مادبا من وجهة نظر المعلمين, Ola Adel Sharaf Abu Ghanam

Journal of the Association of Arab Universities for Research in Higher Education مجلة اتحاد الجامعات العربية للبحوث في التعليم العالي

هدف المقال التعرف إلى مدى تفعيل التعليم المدمج في تدريس اللغة الإنجليزية وإنعكاسه على التحصيل الدراسي لدى طلبة الصف الخامس الأساسي في المدارس الحكومية في محافظة مادبا من وجهة نظر المعلمين. واعتمدت الدراسة المنهج الوصفي التحليلي، حيث تكونت عينة الدراسة من (95) معلمًا ومعلمة من معلمي اللغة الإنجليزية في المدارس الحكومية/ بمديرية قصبة مادبا/ محافظة مادبا، وبالطريقة القصدية، ولتحقيق أهداف الدراسة تم استخدام مقياس التعليم المدمج، والتحقق من خصائصه السيكومترية قبل تطبيقه. توصلت نتائج الدراسة أن تفعيل التعليم المدمج في تدريس اللغة الإنجليزية وإنعكاسه على التحصيل الدراسي لدى طلبة الصف الخامس الأساسي من وجهة نظر المعلمين جاء بمستوى مرتفع، كما …

التوجه نحو ابعاد التفوق الرياضي لدى الطلبة المشاركين في الفرق الرياضية في جامعة جدارا وعلاقته ببعض المتغيرات, Islam Mohammad Abbas, Farah Hassan Nuseir, Samer Abueid

Journal of the Association of Arab Universities for Research in Higher Education مجلة اتحاد الجامعات العربية للبحوث في التعليم العالي

هدف المقال تحديد التوجه نحو ابعاد التفوق الرياضي لدى الطلبة المشاركين في الفرق الرياضية في جامعة جدارا، واعتمد الباحثون المنهج الوصفي لملاءمته وطبيعة الدراسة حيث شملت عينة الدراسة (103) لاعب من الطلبة المشاركين في الفرق الرياضية المختلفة لجامعة جدارا خلال العام الأكاديمي 2022 – 2023، حيث شكلت العينة ما نسبته (61.6%) من مجتمع الدراسة البالغ (167) لاعبا واستخدم الباحثون مقياس دونالد دل (Donald Dell) لقياس التوجه نحو ابعاد التفوق الرياضي، والذي اعد صورته العربية د. محمد حسن علاوي حيث يتكون من المقياس من (54) عبارة. وأشارت استنتاجات الدراسة الى وجود موافقة بالتوجه نحو ابعاد التفوق الرياضي (التوجه نحو ضبط النفس، …

أثر اضطراب الانتباه في صعوبات التعلم ضمن مدارس مديرية تربية قصبة الكرك, Nour Atallah Fares Alsarairah

Journal of the Association of Arab Universities for Research in Higher Education مجلة اتحاد الجامعات العربية للبحوث في التعليم العالي

هدف المقال التعرف الى أثر اضطراب الانتباه في صعوبات التعلم ضمن مدارس مديرية تربية قصبة الكرك، وذلك تبعا لوجهـة نظر المعلمين أنفسهم. تم استخدام المنهج الوصفي والتحليلي من أجل تحقيق أهداف الدراسة والإجابة على أسئلتها. تكون مجتمع الدراسة من المدارس الحكومية في قصبة الكرك والتي يبلغ عددها (118) مدرسة، وتتكون من (2300) معلم، وتم أخذ عينة عشوائية بلغت (330) معلما ومعلمة. ولاختبار فرضيات الدراسة تم استخدام تحليل الانحدار المتعدد. بينت نتائج الدراسة أنه يوجد أثر ذو دلالة إحصائية لاضطراب الانتباه في صعوبات التعلم (صعوبات القراءة، صعوبات الكتابة، صعوبات الرياضيات) ضمن مدارس مديرية تربية قصبة الكرك. وأوصت الدراسة بمجموعة من التوصيات …

درجة امتلاك معلمات المرحلة الأساسية لعادات العقل في مدارس محافظة مادبا, Hanan Ahmad Mohammad Alhour

Journal of the Association of Arab Universities for Research in Higher Education مجلة اتحاد الجامعات العربية للبحوث في التعليم العالي

هدف المقال إلى معرفة درجة امتلاك معلمات المرحلة الأساسية لعادات العقل في مدارس محافظة مادبا، وقد تم استخدام الاستبانة كأداة للدراسة، ومجتمع الدراسة من معلمات المرحلة الأساسية في محافظة مأدبا، وبلغ عدد العينة (120) معلمة، وقد أظهرت نتائج الدراسة أن درجة امتلاك عادات العقل قد جاء بدرجة متوسطة، وقد أظهرت النتائج كذلك وجود فروق ذات دلالة إحصائية في درجة امتلاك معلمات المرحلة الأساسية لعادات العقل تعزى للمؤهل العلمي ولصالح من كانت مؤهلاتهم العلمية دراسات عليا، بينما أظهرت عدم وجود فروق ذات دلالة إحصائية تعزى لسنوات الخبرة، وقد أوصت الدراسة إلى ضرورة وضع البرامج التدريبية التي من شأنها تنمية عادات العقل …

Student Perspectives On Assignment Deadline Policies In Computer Science Courses, J. Kim, Christian Murphy

Computer Science Faculty Works

While the COVID-19 pandemic encouraged higher education to be more flexible, there is now growing uncertainty regarding the usefulness of flexibility as students return to in-person classes, particularly in fast-paced, rigorous fields such as Computer Science (CS). A big part of providing flexibility in education is through assignment deadlines. On one hand, flexible deadline policies may reduce student stress, help students face unexpected circumstances, and improve student learning; on the other, too much flexibility may lead to procrastination and poor time management. In order to help CS instructors make informed decisions when choosing an assignment deadline policy, we compared student …

Hidden Meanings In Elementary Instrumental Music Method Books: A Multimodal Critical Discourse Analysis, Mara Hope Thompson

Education Doctorate Dissertations

Textbooks serve as the primary resource utilized to deliver curriculum in a variety of subject areas and educational contexts. However, much previous research has found that texts often convey concealed meanings in the form of hidden and null curricula. This Multimodal Critical Discourse Analysis (MCDA) explored the musical discourses and cultural contexts of musical examples in two elementary instrumental music textbook series to investigate whose values, cultures, perspectives, and knowledge are conveyed by the texts and whose are excluded or misrepresented. Framed by the social theory of Postcolonialism, the research revealed binary ideologies of exoticism embedded in many aspects of …

Jason Ritchie Named Stefani-Miller Chair For Teaching Excellence, Edwin Smith

University of Mississippi News

OXFORD, Miss. – Lauded by students and peers as an inspiring teacher, University of Mississippi chemistry professor Jason Ritchie has been named the second faculty member to hold the Doctors Andrew Stefani and Eldon Miller Memorial Chair for STEM Teaching and Research.

Experiences Of Undergraduate Computer Science Students Living With Mental Health Conditions, J. Ji, Christian Murphy, B. Blaser, J. Akullian

Computer Science Faculty Works

Along with the growing number of students with disabilities in higher education comes an opportunity to explore the difficulties they experience, especially in the post-pandemic era, as well as how to better support them, thus making post-secondary education more inclusive. A considerable amount of research has been done in providing accommodation for students with physical disabilities, but other hindrances to accessibility such as mental health conditions are prone to be overlooked, perhaps in part due to the stigmatization and subjective invisibility of this topic, specifically in rigorous, competitive fields such as Computer Science (CS). In order to bridge this gap, …

Learning About Ai: Level Up Your Skills Without Overwhelming Your Mind, Jennifer Freer, Lara Nicosia

Presentations and other scholarship

OpenAI and deep learning and neural networks, oh my!  The swiftly developing landscape of artificial intelligence, combined with its rapid integration into our work and personal lives, can feel confusing and overwhelming.  This session will help you think about AI in your own work and plan your own personal AI learning journey, while also providing thoughtful recommendations on how both you and your users can get started.  The presenters will discuss common terminology, user-friendly resources for understanding AI, questions to ask when exploring AI tools, and ideas on how to start building your own knowledge on this topic.  The information …

March 2024 General Studies Council Minutes, University Of Nebraska At Kearney General Studies Council

General Education Council

No abstract provided.

Development Of Bifunctional Peptides As Scaffolds For Bifunctional Catalysis And A Novel Method Of Peptide Stapling Using Squaric Esters, Adam X. Wayment

Theses and Dissertations

Enzymes are some of nature's most powerful tools in chemical processes. However, their molecular complexity makes them difficult to synthesize and complicates their application in traditional organic synthesis. Peptides, a building block of enzymes, can be rapidly synthesized and have been used as a possible alternative in achieving enzyme-like catalysis. However, most peptide-based catalysts are limited in reaction-scope and are unable to incorporate traditional organic catalysts. We have designed a helical peptide scaffold capable of being functionalized with a wide variety of organocatalysts as well as transition-metal based catalysts. In order to understand how the peptide structure effects reactivity and …

The Art Of Avoiding Strategic Miscalculation, Steven W. Knott

The US Army War College Quarterly: Parameters

This examination of British War Secretary George Cornewall Lewis and the gold standard memorandum he penned in 1862 (that proved instrumental in preventing British intervention in the American Civil War) offers insights for modern leaders on how to avoid institutional barriers to effective strategic thinking and political-strategic miscalculation through insightful analysis of potential liabilities and policy assumptions. It shows how outstanding strategic thinkers possess an informed and reflective filter to evaluate past, present, and anticipated events—developed through a good education, diverse practical experience, lifelong intellectual curiosity, empowerment, and access to senior leadership.

Detecting Anomalies In Time Series Using Kernel Density Approaches, Robin Frehner, Kesheng Wu, Alexander Sim, Jinoh Kim

Faculty Publications

This paper introduces a novel anomaly detection approach tailored for time series data with exclusive reliance on normal events during training. Our key innovation lies in the application of kernel-density estimation (KDE) to scrutinize reconstruction errors, providing an empirically derived probability distribution for normal events post-reconstruction. This non-parametric density estimation technique offers a nuanced understanding of anomaly detection, differentiating it from prevalent threshold-based mechanisms in existing methodologies. In post-training, events are encoded, decoded, and evaluated against the estimated density, providing a comprehensive notion of normality. In addition, we propose a data augmentation strategy involving variational autoencoder-generated events and a smoothing …

Metatranscriptomic Insights Into The Interaction Between Microcystis Blooms And Hydrogen Peroxide, Taylor L. Hancock

USF Tampa Graduate Theses and Dissertations

For this dissertation I studied the interactions of hydrogen peroxide and cyanobacterial harmful algal blooms (cHABs) dominated by Microcystis in the Caloosahatchee River, FL. Specifically, I examined how taxonomic and functional succession relates to both natural hydrogen peroxide dynamics and hydrogen peroxide added to the environment as a cHAB treatment. Chapter 2 investigated how taxonomic succession and gene expression patterns relate to blooms and associated elevated hydrogen peroxide concentrations. The results showed that gene expressions related to cyanobacterial growth were positively correlated with hydrogen peroxide. The genes identified included enzymes capable of hydrogen peroxide generation which were expressed by blooming …

Instability And Quantization In Quantum Hydrodynamics, Yakir Aharonov, Tomer Shushi

Mathematics, Physics, and Computer Science Faculty Articles and Research

We show how the quantum hydrodynamical formulation of quantum mechanics converts the nonlocality in the standard wave-like description of quantum systems by an instability of the quantum system, which opens the door to a new way for studying quantum systems based on known methodologies for studying the stability of fluids. As a second result, we show how the Madelung equations describe quantized energies without any external quantization conditions.

Who Do You Think Is The Greatest-Ever Economist?, Mark Skousen

Business Faculty Articles and Research

"Deciding who is the Greatest of All Time (GOAT) is a popular debate in sports. Is it Michael Jordan in basketball? Lionel Messi in fútbol? Muhammed Ali in boxing? Babe Ruth in baseball? (In case you are wondering, the answer is 'yes' in each category.)

Tyler Cowen, professor at George Mason University and co-publisher of the popular Marginal Revolution website, has come up with one of the most clever, entertaining ways to write a history of economic thought by selecting his favorite GOAT in economics."

Enriched Regions Of 228Ra Along The U.S. Geotraces Pacific Meridional Transect (Gp15), Willard S. Moore, Matt Charette, Paul Henderson, Doug Hammond, Nathaniel Kemnitz, Emilie Leroy, Eun Young Kwon, Mikael Hult

Faculty Publications

The half‐life of 228Ra (5.7 years) aligns well with near‐surface and near‐bottom ocean mixing timescales. Because 228Ra is sourced from sediments, regions of enhanced activity represent water that has recently interacted with sediments on the continental margin or seabed. The GP15 meridional transect from Alaska to Tahiti along152°W encountered several regions in the upper ocean where 228Ra was enriched. These enrichments follow surface and subsurface ocean current patterns and pair with earlier measurements of 228Ra and transient radionuclides to reveal the origins of these enriched regions. An enriched region at Alaska margin stations 1–3 was sourced locally but did not …

Induction Of Neuroinflammation And Brain Oxidative Stress By Brain-Derived Extracellular Vesicles From Hypertensive Rats, Xinqian Chen, Xin Yan, Leah Gingerich, Qing Hui Chen, Lanrong Bi, Zhiying Shan

Michigan Tech Publications

Neuroinflammation and brain oxidative stress are recognized as significant contributors to hypertension including salt sensitive hypertension. Extracellular vesicles (EVs) play an essential role in intercellular communication in various situations, including physiological and pathological ones. Based on this evidence, we hypothesized that EVs derived from the brains of hypertensive rats with salt sensitivity could trigger neuroinflammation and oxidative stress during hypertension development. To test this hypothesis, we compared the impact of EVs isolated from the brains of hypertensive Dahl Salt-Sensitive rats (DSS) and normotensive Sprague Dawley (SD) rats on inflammatory factors and mitochondrial reactive oxygen species (mtROS) production in primary neuronal …

Teachers’ Experience With The Implementation Of Response To Intervention, Laura Lynette Gamboa

Walden Dissertations and Doctoral Studies

Response to Intervention (RtI) implementation has been an issue at a local school district in the United States for several years. Teachers have reported lack of resources and training on the RtI process and minimal support from administration, which have impeded their understanding of the intervention. As a result, students who are receiving RtI are not being provided with adequate instruction. The purpose of this study was to examine teachers’ experiences and the barriers that hinder RtI delivery. The conceptual frameworks that grounded this study consisted of Malcolm Knowles’s theory of andragogy, the concepts of self-direction, and adult education in …

2024 March 7 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

March 7, 2024, The Daily Mississippian

Daily Mississippian (all digitized issues)

No abstract provided.

Pelcap: Natural Capital In Plankton & Pelagic Habitats, Paul Tett, Eileen Bresnan, Matthew Faith, Matt Holland, Mike Best

School of Biological and Marine Sciences

This policy brief fact sheet descries ecosystem services provided by pelagic habitats and a natural capital accounting of the the economic contribution pelagic habitats provide to the UK, as estimated by the Office of National Statistics.Plankton is vital for the functioning of marine ecosystems but is hard to value monetarily. According to the Office of National Statistics, plankton in UK waters provides services valued at up to 3.4 £ billion per year. PHEG members think that this is an underestimate.This project was funded by the Department for Environment, Food and Rural Affairs (Defra) as part of the marine arm of …

Exploring The Design Of Low-End Technology To Increase Patient Connectivity To Electronic Health Records, Rens Kievit, Abdullahi Abubakar Kawu, Mirjam Van Reisen, Dympna O'Sullivan, Lucy Hederman

Conference papers

The tracking of the vitals of patients with long term health problems is essential for clinicians to determine proper care. Using Patient Generated Health Data (PGHD) communicated remotely allows patients to be monitored without requiring frequent hospital visits. Issues might arise when the communication of data digitally is difficult or impossible due to a lack of access to internet or a low level of digital literacy as is the case in many African countries. The VODAN-Africa project (van Reisen et al., 2021) started in 2020 and has greatly increased the capabilities of clinics in different countries in both Africa and …