Digital Commons Network^™

Systemic Regulation Of Artificial Intelligence, Yonathan Arbel, Matthew Tokson, Albert Lin

Articles

Today's artificial intelligence ("AI") systems exhibit increasing capabilities across a remarkable variety of tasks. The rapid growth in AI ability has caught the attention of policymakers, parliaments, and the United Nations. These entities are increasingly looking towards regulating AI, not only in its particular applications, but as a technology. Yet legal scholarship has thus far offered little to this new and critical regulatory conversation, which has instead been dominated by computer scientists and technologists.

This Article begins the project of assessing AI's broader risks and law's role in addressing them. These risks are wide ranging -they span harms to vulnerable …

Microglial Piezo1 Mechanosensitive Channel As A Therapeutic Target In Alzheimer's Disease, Erol D Ikiz, Erin R Hascup, Chilman Bae, Kevin N Hascup

Articles

Microglia are the resident macrophages of the central nervous system (CNS) that control brain development, maintain neural environments, respond to injuries, and regulate neuroinflammation. Despite their significant impact on various physiological and pathological processes across mammalian biology, there remains a notable gap in our understanding of how microglia perceive and transmit mechanical signals in both normal and diseased states. Recent studies have revealed that microglia possess the ability to detect changes in the mechanical properties of their environment, such as alterations in stiffness or pressure. These changes may occur during development, aging, or in pathological conditions such as trauma or …

Investigation Of The Uv-Resistance Of Photopolymerisable Glass For Space Applications, Luca Sorridente, Tatsiana Mikulchyk, Izabela Naydenova, Kevin Murphy

Articles

The progress of space based scientific research leads to an increasing demand for more efficient and less bulky instruments. Conventional refractive elements make up a critical part of many optical instruments launched into space; however, they can be bulky and heavy. Holographic optical elements are an efficient alternative to replace the conventional optical elements as they are lightweight and can be miniaturized. Current materials typically used for volume holographic optical elements are not robust enough for use in space environment. Recently a promising photopolymerisable glass has been developed using a sol-gel technique, which can provide dry layers suitable for holographic …

Photopolymer Material Durability And Safety In Holographic Diffusers For Visual Applications, Matthew Hellis, Alan Casey, Edoardo Splendi, Suzanne Martin, Matthew Sheehan, Kevin Murphy

Articles

This study introduces novel holographic diffuser applications employing acrylamide- or diacetone acrylamide-based photopolymers, patterned within the volume on a micron scale by a single-beam holographic recording process. These diffusers have previously been presented as potential treatments for amblyopia and diplopia. This work has now been extended to spectrometric analysis to determine their properties under broadband light. Diffusive elements with higher diffusion efficiencies exhibited a marginal reduction (< 5%) in diffusion efficiency across most of the visible spectrum. Given the intended application of these holographic diffusers, cytotoxicity assessments were also performed. This is significant as there is a difference in toxicity between the crystalline acrylamide (classified as a category 3 material) and diacetone acrylamide (classified as a category 4 material). The findings indicated substantially lower toxicity in holograms produced with diacetone acrylamide-based photopolymer. The accelerated ageing of both formulations of holographic diffusers indicated that the acrylamide-based holographic diffusers did not reduce efficacy in the 292 days of ageing. The diacetone acrylamide-based holographic diffusers exhibited reduced efficacy by day 182. Despite this, both formulations have been shown to perform for prolonged periods as the treatment modality would require. These results emphasise that holographic diffusers exhibit minimal spectral impact, and longevity on the scale of treatment regimes which are crucial considerations for their prospective use case as treatments for amblyopia and diplopia.

Modeling Redistribution Of Nanozeolites In Holographic Recording, Dana Mackey, Jack Lyons Dr, Izabela Naydenova

Articles

Zeolite doped photopolymers have been studied experimentally due to their potential application in the develop- ment of optical sensors. It has been shown that dopant redistribution can be achieved by holographic recording and has a direct influence on the sensitivity of the recorded grating. To achieve better theoretical understanding of these processes, this paper proposes an extended photopolymerization-diffusion mathematical model for describing the dynamics of nanozeolite redistribution during recording in an acrylamide-based photopolymer. Using numerical simulations of this model, we investigate how recording conditions, dopant transport parameters, and initial load affect the refractive index modulation of the resulting photonic structure.

Redistributing Justice, Benjamin Levin, Kate Levine

Articles

This Essay surfaces an obstacle to decarceration hiding in plain sight: progressives’ continued support for the carceral system. Despite progressives’ increasingly prevalent critiques of criminal law, there is hardly a consensus on the left in opposition to the carceral state. Many left-leaning academics and activists who may critique the criminal system writ large remain enthusiastic about criminal law in certain areas— often areas in which defendants are imagined as powerful and victims as particularly vulnerable.

In this Essay, we offer a novel theory for what animates the seemingly conflicted attitude among progressives toward criminal punishment—the hope that the criminal system …

Holographic Multiplexing In A Photopolymerisable Hybrid Sol-Gel, Pamela Stoeva, Tatsiana Mikulchyk, Izabela Naydenova, Kevin Murphy

Articles

Holographic multiplexing techniques enhance functionality and information storage by leveraging the inherent selectivity of holograms. This is crucial for advancing holographic sensors, which excel in simultaneously detecting multiple parameters from a single input signal. This study explores the potential of the recent photopolymerisable hybrid sol-gel (PHSG) material for application in Space sensing systems through the investigation of its holographic angular multiplexing capabilities. For the first time, to the best of our knowledge, we report the successful recording of up to five angularly multiplexed gratings with diffraction efficiencies (DE) ≥ 15% in 187 ± 18 µm PHSG layers. A 3 mW/cm2 …

Beyond The Human: Crossovers For An Onto-Epistemological Bifurcation, Ester Toribio-Roura

Articles

Building upon recent studies in new materialisms and feminist critical posthumanism with a focus on human and more-than-human relationships, this paper examines how the posthuman paradigm, by postulating the queering of identit(ies) via entanglement with the more-than-human (including technology), and by offering a critical examination of diverse modes of existence within a broader ecological context, can foster more inclusive and ethically sound ways of being in the world. Although posthumanism encompasses a wide range of perspectives and theories, including transhumanism, at its core, it challenges traditional notions of humanism, blurring the boundaries between what is human and what is more-than-human, …

Early Age Assessment Of A New Course Of Irish Fly Ash As A Cement Replacement, Niall Holmes Dr., Nikki Shaji, Mark Tyrer

Articles

This paper explores the potential of a new source of fly ash, deposited on the site of a coalfired power plant in Ireland dating from 1985 to 1995, as a cement replacement material. A series of X-ray diffraction (XRD) analyses on binder samples with cement replacement levels of 0, 10, 25 and 35% was undertaken to determine the fly ash’s mineralogical composition and to determine its suitability as a supplemental cementitious material (SCM). The XRD results reveal a unique mineral composition with promising characteristics for enhancing the strength and durability of concrete. The experimental results were used to calibrate a …

Gpt Assisted Annotation Of Rhetorical And Linguistic Features For Interpretable Propaganda Technique Detection In News Text., Kyle Hamilton, Bojan Bozic, Luca Longo

Articles

While the use of machine learning for the detection of propaganda techniques in text has garnered considerable attention, most approaches focus on "black-box'' solutions with opaque inner workings. Interpretable approaches provide a solution, however, they depend on careful feature engineering and costly expert annotated data. Additionally, language features specific to propagandistic text are generally the focus of rhetoricians or linguists, and there is no data set labeled with such features suitable for machine learning. This study codifies 22 rhetorical and linguistic features identified in literature related to the language of persuasion for the purpose of annotating an existing data set …

Dual-Systems And Fuzzy-Trace Theory Predictions Of Covid-19 Risk Taking In Young Adults, Sarah M. Edelson, Valerie F. Reyna, Bridget B. Hayes, David M. N. Garavito

Articles

Risk-reduction behaviors are the first line of defense in viral epidemics. Choosing to not engage in risk-reduction behaviors produced millions of preventable deaths from COVID-19. Understanding why this happens and how to predict it is important for theory development and public policy. We took four approaches to this problem: experimentally varying theory-driven predictors (social rewards, transmission risk, and mandatory/voluntary regulations) in choice scenarios, further probing choices in specific scenarios predicted to elicit risk taking, conducting hierarchical regressions with demographic and theory-driven predictors for both scenario types, and conducting corresponding regressions for self-reported protective behaviors. The sample consisted of 247 young …

Explainable Machine Learning For The Regulatory Environment: A Case Study In Micro-Droplet Printing, Elaine Harris, Darragh F. Ryan, Gerard M. O'Connor

Articles

Micro-droplet printing remains an invaluable tool for the additive manufacturing industry due to its versatility, efficiency and cost-effectiveness. The design and deployment of a disposable micro-droplet dispenser seeks to facilitate a quick and easy way to alternate between different printing materials (such as ink, metals, bio-materials, pharmaceuticals, etc.) without the need for thorough cleaning or separate delivery systems. While this works well in principle, in practice achieving consistent performance between dispensers can prove challenging. This paper aims to tackle this issue through the use of Machine Learning (ML) in order to (1) build a model that predicts dispenser performance from …

A New Framework For Condominium Structural Safety Reforms, Stewart E. Sterk, Reid K. Weisbord

Articles

Forty years after the widespread popularization of residential condominium ownership in the United States, millions of Americans now live in aging, densely occupied structures that are subject to little (if any) ongoing regulation of structural safety. Most structural safety requirements are imposed and enforced at the time of initial construction, thus relegating questions of how to maintain a building’s structural integrity to individual owners and the mechanisms of condominium governance. However, reliance on voluntary action by unit owners too often falters because the divided ownership characteristic of the condominium form deters associations from investing in preventive maintenance. Postponement of critical …

Generative Interpretation, Yonathan Arbel, David A. Hoffman

Articles

We introduce generative interpretation, a new approach to estimating contractual meaning using large language models. As AI triumphalism is the order of the day, we proceed by way of grounded case studies, each illustrating the capabilities of these novel tools in distinct ways. Taking well-known contracts opinions, and sourcing the actual agreements that they adjudicated, we show that AI models can help factfinders ascertain ordinary meaning in context, quantify ambiguity, and fill gaps in parties' agreements. We also illustrate how models can calculate the probative value of individual pieces of extrinsic evidence.

After offering best practices for the use of …

Generative Interpretation, Yonathan A. Arbel, David A. Hoffman

Articles

We introduce generative interpretation, a new approach to estimating contractual meaning using large language models. As AI triumphalism is the order of the day, we proceed by way of grounded case studies, each illustrating the capabilities of these novel tools in distinct ways. Taking well-known contracts opinions, and sourcing the actual agreements that they adjudicated, we show that AI models can help factfinders ascertain ordinary meaning in context, quantify ambiguity, and fill gaps in parties' agreements. We also illustrate how models can calculate the probative value of individual pieces of extrinsic evidence.

After offering best practices for the use of …

Biosensor-Enhanced Organ-On-A-Chip Models For Investigating Glioblastoma Tumor Microenvironment Dynamics, Gayathree Thenuwara, Bilal Javed, Baljit Singh, Furong Tian

Articles

Glioblastoma, an aggressive primary brain tumor, poses a significant challenge owing to its dynamic and intricate tumor microenvironment. This review investigates the innovative integration of biosensor-enhanced organ-on-a-chip (OOC) models as a novel strategy for an in-depth exploration of glioblastoma tumor microenvironment dynamics. In recent years, the transformative approach of incorporating biosensors into OOC platforms has enabled real-time monitoring and analysis of cellular behaviors within a controlled microenvironment. Conventional in vitro and in vivo models exhibit inherent limitations in accurately replicating the complex nature of glioblastoma progression. This review addresses the existing research gap by pioneering the integration of biosensor-enhanced OOC …

Arsenic Contamination Needs Serious Attention: An Opinion And Global Scenario, Abhijnan Bhat School Of Food Science And Environmental Health, Kamna Ravi Health, Engineering & Materials Sciences (Hems) Hub, Furong Tian Nanolab Research Centre, Baljit Singh Micra Biodiagnostics Technology Gateway

Articles

Arsenic (As) contamination is a serious global concern, polluting our natural resources, including water and soil, and posing a danger to the environment and public health. Arsenic is present in the groundwater of several countries and this contaminated water is used for irrigation, drinking, and food preparation, which poses the greatest threat to public health. Nearly 106 countries are affected by groundwater arsenic contamination and an estimated 230 million individuals worldwide are exposed to its adverse health effects, including increased cancer risks, associated cardiovascular disease and diabetes, skin lesions, neurological effects, kidney damage, and foetal or cognitive development-related complications. Arsenic …

Defeat Fascism, Transform Democracy: Mapping Academic Resources, Reframing The Fundamentals, And Organizing For Collective Actions, Francisco Valdes

Articles

No abstract provided.

Rule 11 Is No Match For Generative Al, Jessica Gunder

Articles

In a series of high-profile ethics debacles, attorneys who used generative Al technology found themselves in hot water after they negligently relied on fictitious cases and false statements of law crafted by the technology. These attorneys mistakenly relied upon the output they received from a generative Al product without verifying and validating that output. Their embarrassing ethical breaches made national news, and spurred judges to implement standing orders that require attorneys to disclose their use of Al technology. Scholars were quick to criticize these standing orders' and the standing orders are rife with problems. But are they needed? Or are …

Big Data Searches And The Future Of Criminal Procedure, Mary Fan

Articles

This Article proceeds in three parts. Part I illuminates the nostalgic Luddism that influences Fourth Amendment jurisprudence and the challenges posed by evolving technologies to this dominant lens. This Part explains the operation of geofence and keyword warrants and how their power to crack cold cases by unidentified perpetrators both tempt and terrify. The confusion in the courts over the constitutionality of geofence and keyword warrants is emblematic of the larger challenges of the Romantic Luddism in Fourth Amendment originalism that has grown in influence over the decades.

Part II frames and theorizes the concepts of collateral impact and collateral …

Liability Rules For Automated Vehicle: Definitions And Details, William H. Widen, Phillip Koopman

Articles

This paper explains how the law ought to assign liability for automated vehicle accidents by providing an example of a proposed statute. We advocate for the creation of the legal fiction of a "Computer Driver," which can have negligence liability, anytime a court or jury determines that the Computer Driver's behavior failed to imitate or exceed the level of care we would expect of an attentive and unimpaired Human Driver in similar circumstances. We then use this concept to explain how to determine contributory negligence and comparative fault when control of a vehicle is transferred from a Computer Driver to …

Slipping Into Judicial Barbarism?, Pranav Verma

Articles

Book Review | Gautam Bhatia, Unsealed Covers: A Decade of the Constitution, the Courts and the State, HarperCollins Publisher India, 2023

Comparative Assessment Of Gold Nanoparticle-Antibody Conjugates With Two Differently Shaped Particles For Multimodal Colorimetric Lateral Flow Assay, Vinayak Sharma, Bilal Javed, Furong Tian

Articles

Novel detection strategies that exploit the unique properties of gold nanoparticles (AuNPs) hold great potential for the advancement of point-of-care (POC) diagnostics, such as lateral flow and dipstick immunoassay [1–3]. Owing to its biocompatibility and convenient surface modifications, gold nanoparticles with enhanced sensitivity reduce the sample-to-answer times to less than 5 min (Figure 1). Methods like covalent conjugation and electrostatic adsorption are explored for antibody immobilization to develop a gold nanoparticle-based biosensor for fast and sensitive localized surface plasmon resonance (LSPR) for both basic research and clinical diagnostics. The mounting of antibodies on the gold nanoparticle surface requires selective binding …

Comparing Anova And Powershap Feature Selection Methods Via Shapley Additive Explanations Of Models Of Mental Workload Built With The Theta And Alpha Eeg Band Ratios, Bujar Raufi, Luca Longo

Articles

Background: Creating models to differentiate self-reported mental workload perceptions is challenging and requires machine learning to identify features from EEG signals. EEG band ratios quantify human activity, but limited research on mental workload assessment exists. This study evaluates the use of theta-to-alpha and alpha-to-theta EEG band ratio features to distinguish human self-reported perceptions of mental workload. Methods: In this study, EEG data from 48 participants were analyzed while engaged in resting and task-intensive activities. Multiple mental workload indices were developed using different EEG channel clusters and band ratios. ANOVA’s F-score and PowerSHAP were used to extract the statistical features. At …

Distinguishing Privacy Law: A Critique Of Privacy As Social Taxonomy, María P. Angel, Ryan Calo

Articles

What distinguishes privacy violations from other harms? This has proven a surprisingly difficult question to answer. For over a century, privacy law scholars labored to define the elusive concept of privacy. Then they gave up. Efforts to distinguish privacy were superseded at the turn of the millennium by a new approach: a taxonomy of privacy problems grounded in social recognition. Privacy law became the field that simply studies whatever courts or scholars talk about as related to privacy.

Decades into privacy as social taxonomy, the field has expanded to encompass a broad range of information-based harms—from consumer manipulation to algorithmic …

Modelling Hoe Performance With An Extended Source; Experimental Investigation Using Misaligned Point Sources, Jorge Lasarte, Kevin Murphy, Izabela Naydenova, Maria Victoria Collados, Jesús Atencia, Suzanne Martin

Articles

Holographic optical elements (HOEs) have the potential to enable more compact, versatile, and lightweight optical designs, but many challenges remain. Volume HOEs have the advantage of high diffraction efficiency, but they present both chromatic selectivity and chromatic dispersion, which impact their use with wide spectrum light sources. Single-color light emitting diode (LED) sources have a narrow spectrum that reduces these issues and this makes them better suited for use with volume HOEs. However, the LED source size must be taken into consideration for compact volume HOE-LED systems. To investigate the design limits for compact HOE-LED systems, a theoretical and experimental …

Sidewalk Government, Michael C. Pollack

Articles

This Article is about one of the most used, least studied spaces in the country: the sidewalk.

It is easy to think of sidewalks simply as spaces for pedestrians, and that is exactly how most scholars, policymakers, and laws treat them. But this view is fundamentally mistaken. In big cities and small towns, sidewalks are also where we gather, demonstrate, dine, exercise, rest, and shop. They are host to commerce and infrastructure. They are spaces of public access and sources of private obligation. And in all of these things, sidewalks are sites of under-appreciated conflict. The centrality of sidewalks in …

Ai And 6g Into The Metaverse: Fundamentals, Challenges And Future Research Trends, Muhammad Zawish, Fayaz Ali Dharejo, Sunder Ali Khowaja, Saleem Raza, Steven Davy, Kapal Dev, Paolo Bellavista

Articles

Since Facebook was renamed Meta, a lot of attention, debate, and exploration have intensified about what the Metaverse is, how it works, and the possible ways to exploit it. It is anticipated that Metaverse will be a continuum of rapidly emerging technologies, usecases, capabilities, and experiences that will make it up for the next evolution of the Internet. Several researchers have already surveyed the literature on artificial intelligence (AI) and wireless communications in realizing the Metaverse. However, due to the rapid emergence and continuous evolution of technologies, there is a need for a comprehensive and in-depth survey of the role …

Hygrothermal Risk Assessment Of External Wall Insulation Retrofit To Non-Traditional Wall Types In An Irish Context, Using The Glaser Method And A Heat, Air And Moisture Transient Model, Gareth Mcdonnell, Joseph Little

Articles

The Climate Action Plan 2019 targets the low-energy retrofit of 500,000 existing Irish homes before 2030.1 Up to 80 per cent of building failures can be attributed to moisture risks.2 The literature indicated that external wall insulation (EWI, ETICS) failures are mostly due to moisture ingress at junctions and interfaces. A hygrothermal risk assessment of EWI on three walls with rendered concrete/concrete blockwork/cavity walls in Dublin, Belfast and Belmullet was undertaken using transient numerical simulation and the Glaser method. The guidance, common practice indicates a preference for Glaser. The initial simulation results were compared to assess the appropriateness of Glaser. …

Kinetic Modelling Of The Cellular Metabolic Responses Underpinning In Vitro Glycolysis Assays, Nitin Patil, Zohreh Mirveis, Hugh Byrne

Articles

This study aims to demonstrate the benefits of augmenting commercially available, real-time, in vitro glycolysis assays with phenomenological rate equation-based kinetic models, describing the contributions of the underpinning metabolic pathways. To this end, a commercially available glycolysis assay, sensitive to changes in extracellular acidification (extracellular pH), was used to derive the glycolysis pathway kinetics. The pathway was numerically modelled using a series of ordinary differential rate equations, to simulate the obtained experimental results. The sensitivity of the model to the key equation parameters was also explored. The cellular glycolysis pathway kinetics were determined for three different cell-lines, under nonmodulated and …