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Regulation Of Ppp1r15a (Gadd34) And Ppp1r15b (Crep) Mrna Expression And Localization In The Unfolded Protein Response, Krithika Giresh

University of the Pacific Theses and Dissertations

The failure to balance protein synthesis, folding, and degradation in the endoplasmic reticulum (ER) leads to the accumulation of unfolded proteins, leading to ER stress. Cells respond to this stress by activating a response signaling pathway known as the Unfolded Protein Response (UPR). One of the branches of the UPR induces the phosphorylation of eIF2α (Eukaryotic Initiation Factor 2) to attenuate global protein synthesis, allowing for a chance to clear misfolded and unfolded proteins. This phosphorylation of eIF2α is opposed by a phosphatase, containing a catalytic subunit, Protein Phosphatase 1, and a scaffolding protein, either GADD34 or CReP. Inhibition of …

The Question Is Not “Can Humans Talk?” Or “Can They Suffer?” But “Can They Reason?”, Clive Phillips

Animal Sentience

In their target article, Rowan et al (2022) make a welcome attempt to chart the development of Western progress over the past two hundred years toward formally recognizing that animals feel. They outline the heroic efforts of Compassion in World Farming to gain for animals the status of sentient beings rather than merely human property. A broader view exists, from human prehistory to the present day, in which animals have been (and still are) understood to be sentient by indigenous peoples as well as by some Eastern religions. Growing recognition in the West that animals feel represents a new age …

Legal Recognition Of Animal Sentience: The Case For Cautious Optimism, Jane Kotzmann

Animal Sentience

Rowan et al.’s target article provides a valuable indication of the work that was required to reach the point where animals are recognised as sentient in various laws. To ensure this work was not in vain, the language of sentience needs to be used as a moral currency to demand further cultural change involving greater human respect for animals.

Unincorporating Qualified Immunity, Teressa Ravenell

Faculty Publications

Scholars, judges, activists, and policymakers alike have criticized the doctrine of qualified immunity, which emerged in Pierson v. Ray to shield government actors from monetary liability in a wide range of suits filed under 42 U.S.C. § 1983, derived from the Civil Rights Act of 1871. These criticisms have ranged from the practical to the principled, but they largely ignore the question of statutory interpretation: is it valid to read § 1983, which makes no mention of any defense or immunity, as incorporating a qualified defense for government officials who acted in good faith and with probable cause? The Court …

Annual Report Of The Registrar 2021/2022, University Of Northern Iowa

Institutional Effectiveness & Planning Documents

Contents:

--Definitions
--Some Comparisons
--Annual Report Data
--Summary of Attendance
--Attendance by Session
--Degrees Granted 2021/22
--Degree Summary 2021/22
--Program Certificates 2021/22
--Miscellaneous Enrollment Information
--Degrees Granted by College, Degree and Racial/Ethnic Classification

Pascoite Minerals And Potential Application Of Nmr Spectroscopy, Craig C. Mclauchlan, Beth Trent-Ringer, Debbie C. Crans

Faculty Publications – Chemistry

The 20 minerals encompassing the pascoite family of decavanadate isopolyanion-containing [V₁₀O₂₈]⁶⁻ minerals include a few minerals, such as rakovanite, that have been described as containing a protonated decavanadate anion. Rakovanite was originally assigned the formula Na₃[H₃V₁₀O₂₈]•15H₂O and now is redefined with an ideal formula (NH₄)₃Na₃[V₁₀O₂₈]•12H₂O. Nuclear magnetic resonance (NMR) and particularly ⁵¹V NMR spectroscopy is an informative method used to describe the protonation state and speciation in both solid and solution states …

The 2022 Utah College Sexual Behavior Survey: Qualitative Report, Monti Douglas, Cris Meier, Julie Gast, Melissa Ferguson

All Current Publications

Purpose: The purpose of the 2022 Utah College Sexual Behavior Survey project was to use retrospective sexual behavior and education measures to gain a better understanding of the sexual behaviors and perceptions of sex education of Utah youth by asking students aged 18-21 years old about their sexual behaviors as youth. This supplement provides additional qualitative research that aids in understanding our quantitative findings.

Measures: The qualitative survey questions represented three topical areas. These areas included questions about consent, sex education satisfaction, and student’s parental preference when discussing topics about sex and health.

Method: A one-time survey …

Fever Of Unknown Origin (Fuo) In A Healthy Child: A Reminder Of An Uncommon Presentation Of An Uncommon Disease, Julia Vandenheuvel Md, Tibisay Villalobos Md

Department of Pediatrics

No abstract provided.

Cyber Whistleblowers: The Black Sheep Of Whistleblowing?, Andrew Wisniewski Jr.

Cybersecurity Undergraduate Research Showcase

From the Introduction:

Contrary to popular belief, this paper argues that cyber whistleblowing can contribute to a greater cyber security posture. However, this requires the development of clearer legal obligations and protections for cyber whistleblowers. This paper will explore the psychology behind whistleblowing, the effectiveness of whistleblowing in a cybersecurity context, how to create a safer and more transparent environment for whistleblowers and companies, and how current laws contribute to cyber whistleblowing.

Deepfakes: Ai Technology Of The Future, Hosanna Root

Cybersecurity Undergraduate Research Showcase

Deepfakes technology’s danger stems from its ability to create realistic but fake synthesized media that people often identify as something that is real. With this powerful technology in the wrong hands, deepfakes can cause devastating havoc through information warfare, election campaign disruptions, and more, creating distrust in society. Disinformation is already rampant today, even without wide deployments of deepfakes, which is concerning given the fact that deepfakes’ nefarious full potentials are yet to be reached.

Mitigation Of Algorithmic Bias To Improve Ai Fairness, Kathy Wang

Cybersecurity Undergraduate Research Showcase

As artificial intelligence continues to evolve rapidly with emerging innovations, mass-scale digitization could be disrupted due to unfair algorithms with historically biased data. With the rising concerns of algorithmic bias, detecting biases is essential in mitigating and implementing an algorithm that promotes inclusive representation. The spread of ubiquitous artificial intelligence means that improving modeling robustness is at its most crucial point. This paper examines the omnipotence of artificial intelligence and its resulting bias, examples of AI bias in different groups, and a potential framework and mitigation strategies to improve AI fairness and remove AI bias from modeling techniques.

The Dsa Toolkit Shines Light Into Dark And Stormy Archives, Shawn Morgan Jones, Himarsha R. Jayanetti, Alex Osborne, Paul Koerbin, Klein Martin, Michele C. Weigle, Michael L. Nelson

Computer Science Faculty Publications

Web archive collections are created with a particular purpose in mind. A curator selects seeds, or original resources, which are then captured by an archiving system and stored as archived web pages, or mementos. The systems that build web archive collections are often configured to revisit the same original resource multiple times. This is incredibly useful for understanding an unfolding news story or the evolution of an organization. Unfortunately, over time, some of these original resources can go off-topic and no longer suit the purpose for which the collection was originally created. They can go off-topic due to web site …

Data Transfers After Schrems Ii: The Eu-Us Disagreements Over Data Privacy And National Security, Monika Zalnieriute

Vanderbilt Journal of Transnational Law

In the long-awaited Schrems II decision, the Court of Justice of the European Union (CJEU) took a radical, although not an unexpected, step in invalidating the Privacy Shield Agreement, which facilitated data transfers between the European Union and the United States. Schrems II illuminates long-lasting international disagreements between the EU and the United States over data protection, national security, and the fundamental differences between the public and private approaches to the protection of human rights in the data-driven economy and modern state. This Article approaches the decision via an interdisciplinary lens of international law and international relations and situates it …

The Duties Of Occupying Powers In Relation To The Prevention And Control Of Contagious Diseases Through The Interplay Between International Humanitarian Law And The Right To Health, Dr. Marco Longobardo

Vanderbilt Journal of Transnational Law

This Article explores the rules governing the prevention and control of contagious diseases in occupied territory under international law. Although the Article refers to the ongoing COVID-19 pandemic, its scope is broader and encompasses instances of state practice that have occurred over the last two centuries. After a careful analysis of the relevant treaties and episodes of state practice, the Article concludes that occupying powers have duties under international humanitarian law and international human rights law to prevent and control contagious diseases, through cooperating with the local authorities and bringing the necessary medical supplies in the occupied territory. The Article …

The Uncertain Foundations Of Public Law Theory, Jud Mathews, Emad Atiq

Faculty Scholarship

No abstract provided.

Verification Of Risc-V Processor Beyond Rv32i Isa, Yamini Santosh Awasthi, Aishwarya Mahesh, Lili He

Faculty Research, Scholarly, and Creative Activity

The RISC-V processor's open-source architecture provides designers with flexibility in implementing the architecture for a variety of applications. The same advantage, however, makes the verification process difficult because all variations must be verified. The proposed project will create a verification environment for the extended RISC V architecture. RISC-V supports both the "M" standard extension for integer multiplication and division and the "Zicsr" standard extension for control and status register instructions. The above-mentioned ISA classes will be tested using the RV32I ISA-based DUT with a UVM environment around the DUT to verify the M and Zicsr functionalities. The M and Zicsr …

Leading Early Childhood Education In Iowa Schools, Alaina T. Daters

Dissertations and Theses @ UNI

Over the last 15 years, Iowa’s Statewide Voluntary Preschool Programs (SWVPP) have undergone significant growth. By the end of the 2021-2022 school year, 323 out of 327 (99%) of Iowa public school districts offered preschool (Iowa Department of Education, 2022c). As a result, well over 450 Iowa administrators are potentially responsible for leading their district’s preschool program.

The purpose of this mixed methods research study was to gain an understanding of the experiences, knowledge, and pedagogical needs of licensed Iowa administrators that are responsible for their district’s SWVPP. Data was collected through a survey and analyzed using descriptive statistical analysis …

Control-Core: A Framework For Simulation And Design Of Closed-Loop Peripheral Neuromodulation Control Systems, Pradeeban Kathiravelu, Mark Arnold, Jake Fleischer, Yuyu Yao, Shubham Awasthi, Aviral Kumar Goel, Andrew Branen, Parisa Sarikhani, Gautam Kumar, Mayuresh V. Kothare, Babak Mahmoudi

Faculty Research, Scholarly, and Creative Activity

Closed-loop Vagus Nerve Stimulation (VNS) based on physiological feedback signals is a promising approach to regulate organ functions and develop therapeutic devices. Designing closed-loop neurostimulation systems requires simulation environments and computing infrastructures that support i) modeling the physiological responses of organs under neuromodulation, also known as physiological models, and ii) the interaction between the physiological models and the neuromodulation control algorithms. However, existing simulation platforms do not support closed-loop VNS control systems modeling without extensive rewriting of computer code and manual deployment and configuration of programs. The CONTROL-CORE project aims to develop a flexible software platform for designing and implementing …

Partnership To Grow Effective Readers: Professional Learning For Interventionists And Classroom Teachers, Jennifer Lane

Graduate Research Papers

No abstract provided.

Silver Bow Creek/Butte Area Npl Site Butte Priority Soils Operable Unit, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Happy Marriage Of Afro-Pessimism And U.S. Universities: Eurocentrism, Anti-Communism, And An Educational Recipe For Defeat, Derek R. Ford, Nino Brown

Education Studies Faculty publications

No abstract provided.

Streaminghub: Interactive Stream Analysis Workflows, Yasith Jayawardana, Vikas G. Ashok, Sampath Jayarathna

Computer Science Faculty Publications

Reusable data/code and reproducible analyses are foundational to quality research. This aspect, however, is often overlooked when designing interactive stream analysis workflows for time-series data (e.g., eye-tracking data). A mechanism to transmit informative metadata alongside data may allow such workflows to intelligently consume data, propagate metadata to downstream tasks, and thereby auto-generate reusable, reproducible analytic outputs with zero supervision. Moreover, a visual programming interface to design, develop, and execute such workflows may allow rapid prototyping for interdisciplinary research. Capitalizing on these ideas, we propose StreamingHub, a framework to build metadata propagating, interactive stream analysis workflows using visual programming. We conduct …

Visual Descriptor Extraction From Patent Figure Captions: A Case Study Of Data Efficiency Between Bilstm And Transformer, Xin Wei, Jian Wu, Kehinde Ajayi, Diane Oyen

Computer Science Faculty Publications

Technical drawings used for illustrating designs are ubiquitous in patent documents, especially design patents. Different from natural images, these drawings are usually made using black strokes with little color information, making it challenging for models trained on natural images to recognize objects. To facilitate indexing and searching, we propose an effective and efficient visual descriptor model that extracts object names and aspects from patent captions to annotate benchmark patent figure datasets. We compared two state-of-the-art named entity recognition (NER) models and found that with a limited number of annotated samples, the BiLSTM-CRF model outperforms the Transformer model by a significant …

Customer Gaze Estimation In Retail Using Deep Learning, Shashimal Senarath, Primesh Pathirana, Dulani Meedeniya, Sampath Jayarathna

Computer Science Faculty Publications

At present, intelligent computing applications are widely used in different domains, including retail stores. The analysis of customer behaviour has become crucial for the benefit of both customers and retailers. In this regard, the concept of remote gaze estimation using deep learning has shown promising results in analyzing customer behaviour in retail due to its scalability, robustness, low cost, and uninterrupted nature. This study presents a three-stage, three-attention-based deep convolutional neural network for remote gaze estimation in retail using image data. In the first stage, we design a mechanism to estimate the 3D gaze of the subject using image data …

Spaghetti Tracer: A Framework For Tracing Semiregular Filamentous Densities In 3d Tomograms, Salim Sazzed, Peter Scheible, Jing He, Willy Wriggers

Computer Science Faculty Publications

Within cells, cytoskeletal filaments are often arranged into loosely aligned bundles. These fibrous bundles are dense enough to exhibit a certain regularity and mean direction, however, their packing is not sufficient to impose a symmetry between—or specific shape on—individual filaments. This intermediate regularity is computationally difficult to handle because individual filaments have a certain directional freedom, however, the filament densities are not well segmented from each other (especially in the presence of noise, such as in cryo-electron tomography). In this paper, we develop a dynamic programming-based framework, Spaghetti Tracer, to characterizing the structural arrangement of filaments in the challenging 3D …

Segmenting Technical Drawing Figures In Us Patents, Md Reshad Ul Hoque, Xin Wei, Muntabir Hasan Choudhury, Kehinde Ajayi, Martin Gryder, Jian Wu, Diane Oyen

Computer Science Faculty Publications

Image segmentation is the core computer vision problem for identifying objects within a scene. Segmentation is a challenging task because the prediction for each pixel label requires contextual information. Most recent research deals with the segmentation of natural images rather than drawings. However, there is very little research on sketched image segmentation. In this study, we introduce heuristic (point-shooting) and deep learning-based methods (U-Net, HR-Net, MedT, DETR) to segment technical drawings in US patent documents. Our proposed methods on the US Patent dataset achieved over 90% accuracy where transformer performs well with 97% segmentation accuracy, which is promising and computationally …

Refinement Of Alphafold2 Models Against Experimental And Hybrid Cryo-Em Density Maps, Maytha Alshammari, Willy Wriggers, Jiangwen Sun, Jing He

Computer Science Faculty Publications

Recent breakthroughs in deep learning-based protein structure prediction show that it is possible to obtain highly accurate models for a wide range of difficult protein targets for which only the amino acid sequence is known. The availability of accurately predicted models from sequences can potentially revolutionise many modelling approaches in structural biology, including the interpretation of cryo-EM density maps. Although atomic structures can be readily solved from cryo-EM maps of better than 4 Å resolution, it is still challenging to determine accurate models from lower-resolution density maps. Here, we report on the benefits of models predicted by AlphaFold2 (the best-performing …

Scholarly Big Data Quality Assessment: A Case Study Of Document Linking And Conflation With S2orc, Jian Wu, Ryan Hiltabrand, Dominik Soós, C. Lee Giles

Computer Science Faculty Publications

Recently, the Allen Institute for Artificial Intelligence released the Semantic Scholar Open Research Corpus (S2ORC), one of the largest open-access scholarly big datasets with more than 130 million scholarly paper records. S2ORC contains a significant portion of automatically generated metadata. The metadata quality could impact downstream tasks such as citation analysis, citation prediction, and link analysis. In this project, we assess the document linking quality and estimate the document conflation rate for the S2ORC dataset. Using semi-automatically curated ground truth corpora, we estimated that the overall document linking quality is high, with 92.6% of documents correctly linking to six major …

Extraordinary Writ Or Ordinary Remedy? Mandamus At The Federal Circuit, Jonas Anderson, Paul R. Gugliuzza, Jason Rantanen

Utah Law Faculty Scholarship

Ordinarily, in federal court, only case-ending judgments can be appealed. The writ of mandamus is one exception to that so-called final judgment rule. Mandamus permits a litigant who is dissatisfied with a lower court ruling to obtain immediate reversal if, among other things, the ruling was indisputably wrong and the party seeking mandamus has no other way to get relief. This exacting standard stems from mandamus’s origin as one of the common law’s “extraordinary” writs. Federal courts of appeals typically issue mandamus once or twice per year at most. 

In patent cases, however, mandamus is a remarkably ordinary form of …

Campus-Wide Student Learning Assessment: Campus Student Learning Outcomes, Academic Year 2021-2022, University Of Minnesota-Morris

Institutional Effectiveness and Research Reports

No abstract provided.