Digital Commons Network^™

Integration Of Adaptive Kalman Filter And Bayesian Models For Diagnostics And Reliability Assessment Of Vision Sensors, Rustam Tulkunovich Khamdamov, Marjona Jasubek Qizi Xoliqova

Chemical Technology, Control and Management

Vision-based sensors constitute a cornerstone of contemporary automation, robotics, and intelligent transportation systems, where their reliability directly determines operational safety and efficiency. Conventional Kalman filtering achieves optimal state estimation under linear dynamics and stationary noise assumptions, yet its performance deteriorates in the presence of sensor malfunctions or nonstationary environments. This study proposes an innovative framework that couples an adaptive Kalman filter with Bayesian inference to strengthen diagnostic capabilities and reliability evaluation of vision sensors. The Kalman filter provides dynamic state tracking, while Bayesian reasoning enables probabilistic fault identification and reliability quantification. The methodological novelty lies in the real-time adjustment of …

Ai For Regression Analysis And More, Eli Snir

Generative AI Teaching Activities

Students use Copilot and NotebookLM to create a dataset and develop statistical analyses including regression.

European Management Studies 2026, Vol. 24, No. 2

European Management Studies

European Management Studies 2026, vol. 24, no. 2

History Happenings, Georgia Southern University

History: News & Publications

No abstract provided.

Semantic-Geometric Decoupling For Universal Spatial Anchoring In Extended Reality, Danila Kharitonenkov, Haichao Miao, Vuthea Chheang

Faculty Research, Scholarly, and Creative Activity

The Vision Language Models (VLMs) demonstrate remarkable performance in semantic reasoning tasks. However, it is still challenging for them to fully understand 3D spatial environment. Trained on 2D data, the model does not understand the relationship between positions and the first-person viewpoint, leading to viewpoint confusion, which is especially evident during egocentric tasks. The VLMs use 2D image Red-Green-Blue channel (RGB) pattern matching instead of actual point cloud coordinates for distance calculations. This modality could prevent the model’s 3D space geometry understanding, and leads to metric hallucination, as the model guesses the distance without mathematical calculations. In addition, the industrial …

Autoencoders As Classifiers Trained On Single Sources Of Radiographic Images For Generalizability Across Unseen Sources, Ryan M. Putney

USF Tampa Graduate Theses and Dissertations

Artificial neural networks trained to classify X-ray images according to disease state will learn to distinguish between technical or procedural variations in the images rather than features relevant to the disease. For example, the model might learn to recognize the machine that captured the image or to distinguish an image taken while the patient is lying supine or standing upright. The present work is aimed at using autoencoders as a generalizable classifier to detect COVID vs pneumonia (PNA) X-ray images. The first experiment was to find an architecture for a fully convolutional autoencoder (CAE) and for a convolutional autoencoder with …

Recent Developments, Steven H. Jacobs

Arkansas Law Review

Recent Developments in Arkansas Law

Anchoring’S Absurd Influence On Judging, Jeffrey J. Rachlinski, Andrew J. Wistrich

Arkansas Law Review

Society demands much from its judges. Notably, judges should never be illogical or inconsistent. The heart of what we expect of a judge is to apply the law to the facts in a logical and consistent way. The human mind, however, is not a giant syllogistic machine. People are obviously capable of using deductive logic, but decades of research on judgment and choice indicate that commonly used cognitive strategies to make decisions do not conform to the dictates of deductive logic. People rely on mental shortcuts, rather than logic. These shortcuts can be efficient and useful, but they do not …

Judicial Rhetoric: Writing Persuasive Opinions, Gerald Lebovits

Arkansas Law Review

In 1947, Judge George Rose Smith denounced, in the Arkansas Law Review, the “dearth of material concerning the mechanics of writing a judicial opinion” as a “striking omission in legal literature.” He was right.

The lack of attention given to the judicial opinion-writing process back then was hard to justify. Judges spend much of their time writing decisions. Decisions are important. They determine rights and responsibilities, as well as resolve controversies. Scholars have written about every aspect of judging and legal issue—except one of the most important ones: how to decide a case and justify the decision. Judicial opinions set …

Intellectual Humility By Design: How Courts Earn Legitimacy And Improve Decisions, Steve Leben

Arkansas Law Review

Courts decide disputes as one branch of our government. Their authority depends not only on getting the outcome right but also on public acceptance of their authority. In a time when confidence in institutions is under pressure, courts cannot assume that legitimacy will take care of itself. They must earn it—case by case—through both the substance of what they decide and the way they exercise authority in public view.

A large body of procedural-justice research explains one side of that equation. People are more willing to accept court decisions, even unfavorable ones, when the process communicates voice, neutrality, respect, and …

Foreword, Amanda B. Hurst

Arkansas Law Review

This Symposium, The Art of Judging, delved into the complexity of the judicial craft, discussing the intellectual, practical, and human dimensions of judicial work. The Symposium addressed courtroom management, decision-making, and opinion writing, as well as the impact of evolving technologies on these core judicial functions. Another key focus was the increasing challenges judges face in responding to litigants’ wellness issues, managing their own well-being, and maintaining the judicial persona—both inside and outside the courtroom. Though the Symposium was not born out of the aim of combating the current climate, where misinformation and misunderstanding of the judicial role threaten …

Doing Away With The Ncaa’S Duration Of Eligibility Rules, Michael Lewis

UNH Sports Law Review

The NCAA imposes durational eligibility limits restricting a student athlete’s eligibility to compete in college sports. Under NCAA rules, an athlete is granted four-seasons of competition in any single sport and no more than five-years of eligibility commencing at matriculation. These rules have come under increasing scrutiny in federal court, as the law acknowledges commercial realities. In numerous cases, federal district courts have enjoined their enforcement against Division I football players under the Sherman Act. On the eve of the Final Four, 2026, the White House weighed in, expressing support for durational limits, and arguing (without support) that imposing limits …

The Independence Of Supervisory Authorities: A Comparative Analysis Of Morocco's Law 09-08 And The European General Data Protection Regulation, Zakariyae Hamdani, Karim Seffar

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

The effectiveness of personal data protection presupposes the establishment of supervisory authorities endowed with substantial independence, guarantors of fundamental rights and capable of preventing the risks inherent in data processing. However, the comparison between the European GDPR and Moroccan Law No. 09-08 reveals a manifest institutional asymmetry. Indeed, European authorities operate within a substantially more comprehensive normative framework, characterised by enshrined autonomy, extended prerogatives and enhanced operational efficiency. Conversely, the Moroccan CNDP remains afflicted by structural deficiencies: institutional dependence, lack of coercive powers and budgetary insufficiency. Consequently, this comparative investigation aims to identify the cardinal principles likely to inform a …

Deepfake: A Practice On The Edge Of Legality, Bouthaïna Aaziz

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

Deepfakes – hyperrealistic videos manipulated using deep learning algorithms – raise significant legal challenges touching on human rights and legal governance. A deepfake usurps the identity of its victim to exploit their credibility and reputation. This article examines the applicable legal framework, first identifying pre-existing rules from Moroccan law (civil liability, personal data protection under Law No. 09-08, criminal provisions of the Penal Code and Press Law No. 88-13) that can be applied to deepfakes, and then advocating for the adoption of an adapted legal framework. The author distinguishes between creative deepfakes (requiring informed consent) and manipulative deepfakes (requiring criminal …

Gafam And Competition Law: The Premises Of Regulation, El Mahdi Taimouri

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

GAFAM are among those structural digital platforms whose ultra-dominant position in digital markets and the originality of their practices raise unprecedented competition issues. Their spontaneous tendency toward concentration results from the implementation of innovative business models based on massive data capture and exploitation through high-performance algorithms. The specificities inherent in these web giants raise questions about the ability of classical competition law rules to ensure efficient regulation. Indeed, competitive regulation of these platforms raises essential challenges and proves indispensable, even if the effective realization of such an undertaking appears laborious.

Requalification Of Employment Relations On Digital Platforms – Commentary On The Ruling Of The Social Chamber Of The French Court Of Cassation Of 4 March 2020, Appeal No. 19-13.316, Abdelhadi Al Hantali El Idrissi

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

Despite the efforts made by legislators to facilitate the task of qualifying the employment contract for judges, the judge's role in this qualification process remains primordial, as they face hybrid and increasingly complex situations that may fall into several contradictory contractual categories not anticipated by the law. This article examines a landmark ruling by the Social Chamber of the French Court of Cassation of 4 March 2020 (Appeal No. 19-13.316), in which the Court confirmed the requalification of a partnership contract between an Uber driver and the company into an employment contract. The analysis is structured around three complementary phases: …

From Legal Norms To Algorithmic Rules: Reflections On Blockchain And Smart Contracts, Yassine Dourhani, Fatim Ezzahra Boussetta

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

Blockchain technology and smart contracts are profoundly reshaping contract law by partially replacing traditional legal rules with algorithmic norms based on automation and self-execution. By embedding the parties' agreement into computer code deployed on a distributed ledger, these technologies promise enhanced security, certainty of performance, and the reduction of traditional intermediaries. However, this emerging algorithmic normativity confronts fundamental requirements of contract law, particularly those relating to validity, flexibility in the face of unforeseen events, and the protection of contracting parties. While automatic execution strengthens technical efficiency, it also exposes significant legal limitations, including the rigidity of code, the absence of …

The Legal Challenges Of Blockchain In Relation To The Legal Professions, Hind Tak-Tak, Hanane Jalal

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

Blockchain technology was initially conceived as a disintermediation tool based on algorithmic trust, aiming to challenge the traditional role of trusted third parties in legal and economic relationships. By relying on distributed, immutable, and transparent ledgers, blockchain claims to offer an alternative to centralized institutions, particularly in the fields of evidence, contracts, and authentication. However, a legal analysis demonstrates that this promise of disintermediation remains largely relative. While blockchain enables technical certification of data and the automated execution of obligations through smart contracts, it does not ensure valid contract formation, effective protection of the weaker party, or compliance with the …

Gender Perspective(S): Lessons From International Human Rights Law To Defend Against Pregnancy Related Prosecutions, Megan Osadzinski

Northwestern Journal of Human Rights

The criminalization of pregnancy outcomes—such as miscarriages, abortion, obstetric emergencies, and stillbirth—is a violation of fundamental human rights guarantees; including the right to a fair trial when read in conjunction with the right to equality and the right to health. This article outlines state obligations under international human rights law toward women charged in pregnancy prosecutions, translating them into national criminal defense strategies using a gender perspective. Using intersectional theory, this article calls for the use of a gender perspective to challenge such prosecutions as unlawful gender-based discrimination and a gendered violation of due process, using the case study of …

Smart Cataloging: Tools, Techniques, And Ai-Driven Audits For Metadata Excellence, Irina Stanishevskaya

Libraries Professional Work

Ensuring high-quality metadata is foundational to effective resource discovery, access, and long-term management withing library systems. However, for early-career librarians, evaluating the accuracy and completeness of bibliographic records can present a significant challenge, particularly when navigating complex cataloging standards. This presentation offers a practical framework for assessing metadata quality based on Resource Description and Access (RDA), MARC 21 encoding, and OCLC Bibliographic Formats guidelines. Attendees will be introduced to strategies that balance precision with workflow efficiency, enabling consistent quality control across diverse cataloging environments. The session will also showcase key tools and evaluative methods that support metadata enhancement, including bibliographic …

Art History Zine, Estelle Artus

Open Educational Resources

Open Assignment

Distribution And Transport Of Lithium Ions At Interfaces Between Graphite And Carboxymethyl Celluloses, Zi-Jun Huang, Zhen-Ying Zheng, Hua-Wei Cao, Jian Wang, Qing-Feng Zhang, Sheng-Li Chen

Journal of Electrochemistry

Carboxymethyl cellulose (CMC) is a water-processable binder widely used for graphite anodes. However, a microscopic understanding of why the identity of CMC counterions (Li⁺/Na⁺/K⁺) strongly affects electrode performance remains limited. Here, molecular dynamics (MD) simulations are used to track Li⁺ transport accessibility across electrolyte/CMC/graphite three-phase interfaces, comparing pure CMC-Li, CMC-Na, CMC-K, and mixed-counterion CMC binders. We find that CMC-Li sustains a continuous Li⁺ transport pathway from the electrolyte through the binder phase toward graphite. In contrast, in CMC-Na and CMC-K, Na⁺/K⁺ ions preferentially enrich at the graphite/binder interface, forming …

Neural Networks In Economics: A Selective Review, Xiaohong Chen, Luis Hoderlein, Jonas Lieber

Cowles Foundation Discussion Papers

The "deep learning revolution" has led to remarkable success of neural networks in applications across a wide range of fields, such as computer vision, speech recognition, natural language processing, code generation, protein structure prediction, image and video generation, and dynamic control. This review introduces neural networks to economists. Recent advances and challenges in approximation theory, neural network architecture, computation, econometric theory and practice are presented. Finally, we survey the rapidly evolving applications of modern neural networks and Large Language Models in economic research.

Anonymous 2, Lily Weston

Bronx Jewish History Project

This interviewee looks back very fondly on his childhood growing up in the Bronx. His parents came to America from Poland in the early 1950s after being in a displaced persons camp in Germany, and settled in a one bedroom apartment on University Avenue off of Kingsbridge road. He recounts a diverse neighborhood, growing up not just around other Jewish people but people from Ireland, Italy, Poland, and of many religious backgrounds as well.

He remembers playing stickball, baseball, and other games on the concrete sidewalk, stating how he and his friends were happy, as “when you're a child and …

Thinking Silence Otherwise: Toward A “Research Other” In Qualitative Research, Rosa Vázquez Recio

The Qualitative Report

Why ask about silence when it comes to research? This paper explores and analyzes how silence, unlike words and verbal expression, has received little attention in the data production process. Despite its different manifestations and meanings in social interactions and knowledge production, silence tends to be overlooked, ignored, or silenced. We focus on analyzing how we relate silence to evidence-based research to describe the “non-places” of silence in qualitative research, addressing controversies and issues. We propose a “research other,” grounded in decolonial approaches and Southern and feminist epistemologies, to argue for the inclusion of silence in the research process. …

Visibility By Design: Communication Infrastructures, Mediation, And Knowledge Transfer On Neurodivergence In Institutional Contexts En [Ponencia] Iamcr 2026, Bárbara Mercedes Castillo Abdul Hadi, María Beltrán-Rodríguez, Luis M. Romero-Rodriguez

Congresos y Conferencias

The social visibility of neurodivergence has become an increasingly salient object of inquiry within communication studies, particularly in relation to public communication, institutional communication, and processes of educational and social inclusion. Previous research has addressed this phenomenon primarily from the perspectives of health communication and awareness-raising campaigns, with a strong focus on stigma reduction and the improvement of public knowledge about neurodevelopmental conditions. However, these approaches have paid comparatively less attention to how communication intervenes in the transfer of scientific knowledge into applied contexts—such as the design of inclusive educational environments—and to its role in articulating the relationship between institutional …

Topographic Control Of Forest Species Distributions In The Interior West From Forest Inventory And Analysis Data, R. Justin Derose, Matthew F. Bekker

Wildland Resources Faculty Publications

The geographic distribution of forest and woodland ecosystems in the Interior West United States is strongly influenced by topographic factors that, in part, control moisture availability through their effect on insolation, precipitation capture, and retention. Through an empirical approach, we use unique, plot-level data from the Forest Inventory and Analysis Program (n = 13,437) over eight ecoregions within eight Interior West states to characterize the distribution of the 12 most abundant tree species with respect to the effects of elevation, slope aspect, and slope steepness. Across species, elevation, and aspect, most forested plots occurred on gentle slopes and the …

Ai And Cataloging: What Do We Know, 4 Years In?, Emily Baldoni, Angela Yon

Faculty and Staff Publications – Milner Library

This poster will disentangle AI hype from AI reality by providing a systematic review and meta-analysis of the current empirical research on AI applications for cataloging. Since the introduction of ChatGPT in November 2022, AI has been proposed as a tool for increasing efficiency and freeing up librarians' time across all areas of librarianship, especially in the area of cataloging and metadata. There is often a gap, however, between current AI realities and the requirements of highly structured library metadata. Surveys show that many catalogers are already using Large Language Model (LLM) tools, with human intervention, to assist in tasks …

Crowd-Sourced Glacier Mapping As A Tool For Enhancing Climate Literacy And Data Generation, Caroline Clason, Sally Rangecroft, Shaun Lewin, Gina Kallis, Tom Mullier, Will Blake, Iain Stewart

School of Geography, Earth and Environmental Sciences

Citizen science approaches are increasingly used to support data generation and public engagement across the environmental sciences, yet their wider pedagogical value within physical geography remains underexamined. To explore the value of mapping-based citizen science for both glaciological investigation and geographical learning, we developed GlacierMap, an interactive online tool enabling participants to map glacier change in Peru’s Cordillera Blanca over a 34-year period. GlacierMap was designed not only to assess the feasibility and value of crowd-sourced glacier mapping, but also as a vehicle to support experiential learning of the trends in, and impacts of, tropical mountain glacier retreat. Participants mapped …

Letter To The Editor: Hemodynamic Role In Hepatic Encephalopathy Pathogenesis Following Transjugular Intrahepatic Portosystemic Shunt Placement, John Halphen, Yash S Dayal, Cameron Laurie, Mohadese Ahmadzade, David Wynne, Mohammad Ghasemi-Rad

Faculty, Staff and Students Publications

Hepatic encephalopathy (HE) is a common complication following transjugular intrahepatic portosystemic shunt (TIPS) placement and is thought to result from reduced hepatic detoxification of neurotoxins. However, Zhuang et al in the World Journal of Radiology demonstrate that this understanding may be incomplete through exploration of the pathophysiology from a hemodynamic perspective. They found significant changes in cerebral blood flow (CBF) and spontaneous brain activity following TIPS. Initially, CBF increased in specific areas within the first month, followed by a return to baseline at three months. These CBF changes coincided with increased spontaneous brain activity that persisted in some areas, suggesting …