Digital Commons Network^™

29si Solid State Mas Nmr Study On Leaching Behaviors And Chemical Stability Of Different Mg-Silicate Structures For Co2 Sequestration, Guanhe Rim

Faculty Scholarship

Silicon is one of the most earth abundant elements, and thus, the fate and reactivity of silicate materials are often important for various energy and environmental technologies including carbon sequestration, where CO2 is captured and stored as a thermodynamically stable solid carbonate phase. Thus, understanding the structures and chemistries of different silicate phases has become an important research aim. In this study, the changes in the silicate structures (Q0-Q4) of heat-treated Mg-bearing mineral (serpentine) exposed to a CO2-water system (carbonic acid) was investigated using 29Si MAS NMR, XRPD and ICP-OES and the identified structures were employed to explain complex leaching …

Influence Of Cap Weight On The Motion Of A Janus Particle Very Near A Wall, Christopher L. Wirth

Faculty Scholarship

The dynamics of anisotropic nano- to micro scale colloidal particles in confined environments, either near neighboring particles or boundaries, is relevant to a wide range of applications. We utilized Brownian dynamics simulations to predict the translational and rotational fluctuations of a Janus sphere with a cap of nonmatching density near a boundary. The presence of the cap significantly impacted the rotational dynamics of the particle as a consequence of gravitational torque at experimentally relevant conditions. Gravitational torque dominated stochastic torque for a particle >1 μm in diameter and with a 20-nm-thick gold cap. Janus particles at these conditions sampled mostly …

Protein Footprinting: Auxiliary Engine To Power The Structural Biology Revolution, Mark R. Chance, Erik R. Farquhar, Sichun Yang, David T. Lodowski, Janna G. Kiselar

Faculty Scholarship

Structural biology is entering an exciting time where many new high-resolution structures of large complexes and membrane proteins are determined regularly. These advances have been driven by over fifteen years of technology advancements, first in macromolecular crystallography, and recently in Cryo-electron microscopy. These structures are allowing detailed questions about functional mechanisms of the structures, and the biology enabled by these structures, to be addressed for the first time. At the same time, mass spectrometry technologies for protein structure analysis, “footprinting” studies, have improved their sensitivity and resolution dramatically and can provide detailed sub-peptide and residue level information for validating structures …

Virtual Visits For Care Of Patients With Heart Failure In The Era Of Covid-19: A Statement From The Heart Failure Society Of America, Eiran Z. Gorodeski

Faculty Scholarship

In response to the COVID-19 pandemic, US federal and state governments have implemented wide-ranging stay-at-home recommendations as a means to reduce spread of infection. As a consequence, many US healthcare systems and practices have curtailed ambulatory clinic visits—pillars of care for patients with heart failure (HF). In this context, synchronous audio/video interactions, also known as virtual visits (VVs), have emerged as an innovative and necessary alternative. This scientific statement outlines the benefits and challenges of VVs, enumerates changes in policy and reimbursement that have increased the feasibility of VVs during the COVID-19 era, describes platforms and models of care for …

Hysteresis Effects And Roughness Suppression Efficacy Of Polyethylenimine Additive In Cu Electrodeposition In Ethaline, Nora A. Shaheen, Ijjada Mahesh, Rohan Akolkar

Faculty Scholarship

Deep eutectic solvents (DES) are environmentally-friendly electrolytes that are gaining interest for electrodeposition and energy storage applications. In these applications, metal electrodeposits with smooth, nondendritic morphology are desired and thus effective strategies for suppressing roughness evolution are critically needed. A commonly employed and rather effective strategy for suppressing roughness evolution in metal electrodeposition is the use of electrolyte additives; however, the availability of such additives in DES electrolytes is limited and so is the understanding of the mechanisms through which additives suppress roughness amplification in DES media. In the present contribution, we demonstrate that polyethylenimine (PEI) is an effective electrolyte …

Building A Law-And-Political-Economy Framework: Beyond The Twentieth-Century Synthesis, K. Sabeel Rahman, Amy Kapczynski, David Singh Grewel, Jedediah Britton-Purdy

Faculty Scholarship

No abstract provided.

Gdpr And The Importance Of Data To Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans

Faculty Scholarship

What is the impact of the European Union’s General Data Protection Regime (“GDPR”) and data regulation on AI startups? How important is data to AI product development? We study these questions using unique survey data of commercial AI startups. AI startups rely on data for their product development. Given the scale and scope of their business models, these startups are particularly susceptible to policy changes impacting data collection, storage and use. We find that training data and frequent model refreshes are particularly important for AI startups that rely on neural nets and ensemble learning algorithms. We also find that firms …

An Introduction To The Collection [Get In Good Trouble: A Collection Of Essays By Millennial Law Scholars], Verónica C. Gonzales

Faculty Scholarship

Get in Good Trouble: A Collection of Essays by Millennial Law Scholars Introduction by Verónica C. Gonzales-Zamora with essays by Kinda Abdus-Saboor, Ernestine Chaco, Marcus Gadson, Verónica Gonzales-Zamora, Camilo Romero, Lysette Romero Córdova, Morenike Saula, Joseph Schremmer, and Hon. Roshanna Toya. Afterword by Marcus Gadson. In response to the global pandemic, legal education in the United States shifted almost immediately to new tools and methods of delivery. Unsure of the lasting impact of these shifts, law faculty and law students around the country remain in limbo preparing for different scenarios when instruction resumes. Millennial law professors and scholars, with decades …

A Third-Party Doctrine For Digital Metadata, H. Brian Holland

Faculty Scholarship

For more than four decades, the third-party doctrine was understood as a bright-line, categorical rule: there is no legitimate privacy interest in any data that is voluntarily disclosed or conveyed to a third party. But this simple rule has dramatic effects in a world of ubiquitous networked computing, mobile technologies, and the commodification of information. The digital devices that facilitate our daily participation in modern society are connected through automated infrastructures that are designed to generate vast quantities of data, nearly all of which is captured, utilized, and stored by third-party service providers. Under a plain reading of the third-party …

Revisiting A Classic Problem In Statutory Interpretation: Is A Minister A Laborer?, Lawrence Solan, Tammy Gales

Faculty Scholarship

No abstract provided.

Independent Creation In A World Of Ai, Clark Asay

Faculty Scholarship

Scholars have long debated whether the outputs of AI systems should be subject to copyright. On the one hand, the automated nature of many AI systems may make copyright unnecessary as an incentive for the creation of those AI systems’ outputs, in which case society would be better off withholding copyright protections from them. On the other hand, those outputs often exhibit sufficient creativity to merit copyright protection, and without copyright, parties that use AI systems to create such outputs may lack the necessary incentives to do so.

In this Essay, prepared as part of the Florida International University Law …

Geneva Statement On Heritable Human Genome Editing: The Need For Course Correction, Roberto Andorno, Francoise Baylis, Marcy Darnovsky, Donna Dickenson, Hille Haker, Katie Hasson, Leah Lowthorp, George J. Annas, Catherine Bourgain, Katherine Drabiak, Sigrid Graumann, Katrin Grüber, Matthias Kaiser, David King, Regine Kollek, Calum Mackellar, Jing-Bao Nie, Osagie K. Obasogie, Mirriam Tyebally Fang, Gabriele Werner-Felmayer, Jana Zuscinova

Faculty Scholarship

As public interest advocates, policy experts, bioethicists, and scientists, we call for a course correction in public discussions about heritable human genome editing. Clarifying misrepresentations, centering societal consequences and concerns, and fostering public empowerment will support robust, global public engagement and meaningful deliberation about altering the genes of future generations.

Electrochemical Characterization Of Bromine Reduction To Tribromide In Individual Nitrobenzene-In-Water Emulsion Droplets, Liang Chang, Allen J. Bard

Faculty Scholarship

We report an electrochemical study of bromine reduction to tribromide in a single nitrobenzene (NB) droplet during a single collision event. The feasibility of this study is based on the favorable distribution of Br2 in NB rather than in water, which was demonstrated by voltammetry at the NB/water interface. The NB-in-water emulsions containing the ionic liquids trihexyltetradecylphosphonium bis(trifluoromethylsulfonyl)amide (ILPA) as the supporting electrolyte and sodium dodecyl sulfate (SDS) as the surfactant were prepared by a high-power ultrasonication. Its single droplet as an attoliter reactor, colliding on a 25 μm Pt UME, was monitored by chronoamperometry. The spike-type current transients of …

Proteins Inform Survival-Based Differences In Patients With Glioblastoma, L. C. Stetson, Daniela M. Schlatzer, Peter Liao, Karen Devine, Kristin Waite, Marta E. Couce, Andrew E. Sloan, Mark R. Chance, Jill S. Barnholtz-Sloan

Faculty Scholarship

Background: Improving the care of patients with glioblastoma (GB) requires accurate and reliable predictors of patient prognosis. Unfortunately, while protein markers are an effective readout of cellular function, proteomics has been underutilized in GB prognostic marker discovery. Methods: For this study, GB patients were prospectively recruited and proteomics discovery using liquid chromatography-mass spectrometry analysis (LC-MS/MS) was performed for 27 patients including 13 short-term survivors (STS) (≤10 months) and 14 long-term survivors (LTS) (≥18 months). Results: Proteomics discovery identified 11 941 peptides in 2495 unique proteins, with 469 proteins exhibiting significant dysregulation when comparing STS to LTS. We verified the differential …

Fair Use In Oracle: Proximate Cause At The Copyright/Patent Divide, Wendy J. Gordon

Faculty Scholarship

In Oracle America, Inc. v. Google LLC, the Federal Circuit undermined copyright law’s deference to patent law and, in doing so, delivered a blow to both regimes. Copyright’s deference— including a historic refusal to enforce rights that might undermine the public’s liberty to copy unpatented inventions-- is a necessary part of preserving inventors’ willingness to accept the short duration, mandatory disclosure, and other stringent bargains demanded by patent law. Deference to patent law is also integral to copyright law’s interior architecture; copyright’s refusal to monopolize functional applications of creative work lowers the social costs that would otherwise be imposed by …

Access To Algorithms, Hannah Bloch-Wehba

Faculty Scholarship

Federal, state, and local governments increasingly depend on automated systems — often procured from the private sector — to make key decisions about civil rights and civil liberties. When individuals affected by these decisions seek access to information about the algorithmic methodologies that produced them, governments frequently assert that this information is proprietary and cannot be disclosed.

Recognizing that opaque algorithmic governance poses a threat to civil rights and liberties, scholars have called for a renewed focus on transparency and accountability for automated decision making. But scholars have neglected a critical avenue for promoting public accountability and transparency for automated …

The Algorithmic Divide And Equality In The Age Of Artificial Intelligence, Peter K. Yu

Faculty Scholarship

In the age of artificial intelligence, highly sophisticated algorithms have been deployed to provide analysis, detect patterns, optimize solutions, accelerate operations, facilitate self-learning, minimize human errors and biases and foster improvements in technological products and services. Notwithstanding these tremendous benefits, algorithms and intelligent machines do not provide equal benefits to all. Just as the digital divide has separated those with access to the Internet, information technology and digital content from those without, an emerging and ever-widening algorithmic divide now threatens to take away the many political, social, economic, cultural, educational and career opportunities provided by machine learning and artificial intelligence. …

Can Algorithms Promote Fair Use?, Peter K. Yu

Faculty Scholarship

In the past few years, advances in big data, machine learning and artificial intelligence have generated many questions in the intellectual property field. One question that has attracted growing attention concerns whether algorithms can be better deployed to promote fair use in copyright law. The debate on the feasibility of developing automated fair use systems is not new; it can be traced back to more than a decade ago. Nevertheless, recent technological advances have invited policymakers and commentators to revisit this earlier debate.

As part of the Symposium on "Intelligent Entertainment: Algorithmic Generation and Regulation of Creative Works," this Article …

Automation In Moderation, Hannah Bloch-Wehba

Faculty Scholarship

This Article assesses recent efforts to encourage online platforms to use automated means to prevent the dissemination of unlawful online content before it is ever seen or distributed. As lawmakers in Europe and around the world closely scrutinize platforms’ “content moderation” practices, automation and artificial intelligence appear increasingly attractive options for ridding the Internet of many kinds of harmful online content, including defamation, copyright infringement, and terrorist speech. Proponents of these initiatives suggest that requiring platforms to screen user content using automation will promote healthier online discourse and will aid efforts to limit Big Tech’s power.

In fact, however, the …

Patent Shopping, Janet Freilich

Faculty Scholarship

Over the past decade, scholars have identified many entities who use the patent system in ways that differ from the traditional model of patent use — entities such as patent assertion entities, patent aggregators, or owners of large patent portfolios. This Article presents a model that explains the behavior of some of the biggest and most controversial entities in the patent system. This Article argues that such entities are engaged in “patent shopping” where the plaintiff makes a strategic choice of patent in order to obtain the best facts and substance in a case and thereby maximize the chance of …

Arcing Towards Justice: Dr. King’S 2020 Vision, Sonia Gipson Rankin

Faculty Scholarship

Professor Gipson Rankin discusses the Rev. Dr. Martin Luther King’s journey, the experiences that shaped his worldviews, and how we can use these ideas to create a strong future for everyone. She connects Dr. King’s work to artificial intelligence and equality.

If the media player is not working, go directly to the video on the Sandia National Laboratories Mediasite.

Detecting Corporate Environmental Cheating, Seema Kakade, Matt Haber

Faculty Scholarship

As evidenced by the Volkswagen diesel emissions scandal, corporations cheat on environmental regulations. Such scandals have created a surge in the academic literature in a wide range of areas, including corporate law, administrative law, and deterrence theory. This article furthers that literature by focusing on one particular area of corporate cheating—the ability to learn of the cheating in the first place. Detecting corporate cheating requires significant information about corporate behavior, activity, and output. Indeed, most agencies have broad statutory authority to collect such information from corporations, through targeted records requests, and inspection. However, authority is different from ability. The corporate …

Remedial Payments In Agency Enforcement, Seema Kakade

Faculty Scholarship

During the Obama Administration, the government settled many enforcement cases involving alleged violations of the nation’s federal statutes. The settlements have several requirements, including that the defendants pay money for beneficial projects to mitigate or offset harm directly or indirectly caused by defendant’s actions. For example, the government settled an environmental enforcement case against Volkswagen that included payments for environmental projects, and a mortgage enforcement case against Bank of America that included payments for housing education projects. These payments have spawned renewed criticism amongst conservative groups who have long claimed that payments for projects are mechanisms for agencies to get …

The Role Of Trust Law Principles In Defining Public Trust Duties For Natural Resources, John C. Dernbach

Faculty Scholarship

No abstract provided.

Get With The Pronoun, Heidi K. Brown

Faculty Scholarship

No abstract provided.

Affirmative Action As Transitional Justice, Yuvraj Joshi

Faculty Scholarship

No abstract provided.

An Essay On The Quieting Of Products Liability Law, Aaron Twerski

Faculty Scholarship

No abstract provided.

If You Can’T Beat ‘Em, Join ‘Em (Virtually): Institutionally Managing Law Students As Consumers In A Covid World, Debra Vollweiler

Faculty Scholarship

No abstract provided.

Oliver Evans And The Framing Of American Patent Law, Christopher Beauchamp

Faculty Scholarship

No abstract provided.

Neurotic: Neuroscience Tool For Interactive Characterization, Hillel J. Chiel

Faculty Scholarship

A software tool for synchronization of video with signals would be of broad general use to behavioral neuro-scientists. A new program, called neurotic (NEUROscience Tool for Interactive Characterization), allows users to review and annotate signal data synchronized with video, performs simple initial analyses including signal filtering and spike detection, is easy to use, and supports a variety of file formats. The program also facilitates collaborations by using a portable specification for loading and processing data and retrieving data files from online sources. Two examples are shown in which the software is used to explore experimental datasets with extracellular nerve or …