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Articles 31261 - 31276 of 31276
Full-Text Articles in Entire DC Network
Creation And Implementation Of The Innovation-Based Learning Framework: A Learning Analytics Approach, Lauren Singelmann
Creation And Implementation Of The Innovation-Based Learning Framework: A Learning Analytics Approach, Lauren Singelmann
Electrical and Computer Engineering
To meet the national and international call for creative and innovative engineers, many engineering departments and classrooms are striving to create more authentic learning spaces where students are actively engaging with design and innovation activities. For example, one model for teaching innovation is Innovation-Based Learning (IBL) where students learn fundamental engineering concepts and apply them to an innovation project with the goal of producing value outsidethe classroom. The model has been fairly successful, but questions still remain about how to best support students and instructors in open-ended innovation spaces. To answer these questions, learning analytics and educational data mining (LA/EDM) …
The Genomic Alteration Landscape Of Pancreatic Duct Adenocarcinoma, David Adeleke
The Genomic Alteration Landscape Of Pancreatic Duct Adenocarcinoma, David Adeleke
Genomics and Bioinformatics
By 2030, PDAC is projected to be the second leading cause of cancer-related death in the US. PDAC is a multifactorial disease driven by genomic alterations. Understanding this alteration landscape will both refine the knowledge of disease etiology and enhance disease stratifications, drug design, and targeted treatment. This study aimed to identify novel genetic alterations that are associated with pancreatic cancer biology and prognosis to further refine the genetic focus for therapy development, disease subtyping, and risk assessment in PDAC. To this end, SNV, CNV, and clinical data for PDAC patients were downloaded from the ICGC data portal and analyzed …
Contracts In The Age Of Smart Readers, Yonathan A. Arbel, Becher, Shmuel I.
Contracts In The Age Of Smart Readers, Yonathan A. Arbel, Becher, Shmuel I.
Articles
No abstract provided.
Stealing Organs?, Benjamin J. Mcmichael
Stealing Organs?, Benjamin J. Mcmichael
Articles
Every nine minutes, a new person joins a waitlist for an organ transplant, and every day, seventeen people die waiting for an organ that will never come. Because the need for organ transplants far outstrips the number of available organs, the policies and rules governing organ allocation in the United States are critically important and highly contentious. Recently, proponents of a new allocation system one focused more on sharing organs across the nation instead of allocating organs primarily to local transplant candidates have gained ground. Bolstered by two separate lawsuits in the past five years, advocates of greater national sharing …
Federalism By Deception: The Implied Limits On Congressional Power, Bryan K. Fair
Federalism By Deception: The Implied Limits On Congressional Power, Bryan K. Fair
Articles
The purpose of this Article is to lay bare federalism by deception and the theory of implied limits on federal power. Other scholars have recently noted the rise of anti-federalist viewpoints in modern cases. I go a step further to demonstrate how Supreme Court Justices have embraced anti-federal ideology, but have cited Federalist sources, including Marshall, to announce unenumerated limits on federal legislative power.
What Is Consumer Protection For?, Luke Herrine
What Is Consumer Protection For?, Luke Herrine
Articles
When law and economics barreled its way into consumer protection scholarship two score years ago, it brought with it the consumer sovereignty framework: an approach to analysis in which actual markets are compared to an ideal market in which consumers optimize exogenous welfare functions by choosing between optimally competitive sellers. Even after two decades of behavioralist critique and even with increasingly critical perspectives taking root since the Global Financial Crisis, this consumer sovereignty ideal continues to serve as both a descriptive and normative baseline for consumer protection scholarship.
This Article argues that it is time to reconsider the consumer sovereignty …
Bringing Predictability To The Chaos Of Punitive Damages, Benjamin Mcmichael, W. Kip Viscusi
Bringing Predictability To The Chaos Of Punitive Damages, Benjamin Mcmichael, W. Kip Viscusi
Articles
Punitive damages remain unique in the American legal system. Awarded in the civil context with none of the protections offered in criminal law, courts levy punitive damages to punish and deter. The Supreme Court of the United States has clearly stated that courts may only seek to achieve these two goals when imposing punitive damages. A closer reading of the Court's punitive damages jurisprudence, however, reveals another goal that has largely been ignored: predictability. Unlike punishment and deterrence, predictability is not a purpose for which to award punitive damages. Instead, the Court requires that, when awarded, the level of punitive …
“When Will The Time Finally Come When There Will Only Be Humans”: An Unknown Letter From Beethoven To Heinrich Von Struve, Julia Ronge
The Beethoven Journal
Transcription, translation, and discussion of a recently discovered letter from Ludwig van Beethoven to Heinrich von Struve from 1795. In the letter, Beethoven expresses a yearning for a time when there are only humans, without distinctions of rank and class. This sentiment accords with Schiller’s ode An die Freude, which Beethoven set to music more than once.
Flexible And Robust Real-Time Intrusion Detection Systems To Network Dynamics, Kicho Yu, Khanh Nguyen, Younghee Park
Flexible And Robust Real-Time Intrusion Detection Systems To Network Dynamics, Kicho Yu, Khanh Nguyen, Younghee Park
Faculty Research, Scholarly, and Creative Activity
Deep learning-based intrusion detection systems have advanced due to their technological innovations such as high accuracy, automation, and scalability to develop an effective network intrusion detection system (NIDS). However, most of the previous research has focused on model generation through intensive analysis of feature engineering instead of considering real environments. They have limitations to applying the previous methods for a real network environment to detect real-time network attacks. In this paper, we propose a new flexible and robust NIDS based on Recurrent Neural Network (RNN) with a multi-classifier to generate a detection model in real time. The proposed system adaptively …
Implementing A (Modern) Progressive Consumption Tax, Manoj Viswanathan
Implementing A (Modern) Progressive Consumption Tax, Manoj Viswanathan
Faculty Scholarship
Progressively taxing consumption has much normative appeal, but pre vious legal scholarship has incorrectly assumed that directly accounting for the expenditures of individual taxpayers is administratively infeasible. Changes in consumer spending and advances in technology require revisiting this assumption. This article proposes a novel framework through which an individual accounting progressive consumption tax (IAPCT) can be imple mented and establishes the IAPCT's superiority to previously proposed forms of progressive consumption taxation. IAPCT advantages include a significant reduction in tax filing costs, improved enforcement, and the immediate de ployment of place-based tax policy.
In Search Of The Public Interest, Jodi L. Short
In Search Of The Public Interest, Jodi L. Short
Faculty Scholarship
“Public interest” standards in statutory delegations to agencies represent the greatest hopes and the darkest fears of the U.S. administrative state. On the one hand, the public interest standard provides a vessel for agencies to infuse policymaking with the moral and ethical commitments of the community. On the other hand, regulation in the public interest opens the door to the arbitrary exercise of tyrannical state power. Despite the lofty aspirations and ominous warnings about regulation in the public interest, little is known about how agencies actually decide what is in the public interest when charged by statute to do so. …
Visual Task Classification Using Classic Machine Learning And Cnns, Devangi Vilas Chinchankarame, Noha Elfiky, Nada Attar
Visual Task Classification Using Classic Machine Learning And Cnns, Devangi Vilas Chinchankarame, Noha Elfiky, Nada Attar
Faculty Research, Scholarly, and Creative Activity
Our eyes actively perform tasks including, but not limited to, searching, comparing, and counting. This includes tasks in front of a computer, whether it be trivial activities like reading email, or video gaming, or more serious activities like drone management, or flight simulation. Understanding what type of visual task is being performed is important to develop intelligent user interfaces. In this work, we investigated standard machine and deep learning methods to identify the task type using eye-tracking data-including both raw numerical data and the visual representations of the user gaze scan paths and pupil size. To this end, we experimented …
Leveraging Initial Cognitive Load To Predict User Response To Complex Visual Tasks, Reem Albaghli, Yaman Jandali, Sarah Almahmid, Nada Attar
Leveraging Initial Cognitive Load To Predict User Response To Complex Visual Tasks, Reem Albaghli, Yaman Jandali, Sarah Almahmid, Nada Attar
Faculty Research, Scholarly, and Creative Activity
In this study, we were able to show how cognitive load measurement during the initiation of a complex visual task can predict user response. We measured cognitive load using pupil size and microsaccade rate. The initial phase of task was defined as the first 25 percent of the trial Reaction Time (RT), which was variable up to 50 seconds. The complex visual task entailed a set of twelve words that could be grouped based into 1, 2, or 3 categories or sets, e.g., the words bed, pillow, headboard, etc. can be grouped into a single set that is bedroom. We …
The Integer-Antimagic Spectra Of A Disjoint Union Of Hamiltonian Graphs, Uğur Odabaşi, Dan Roberts, Richard M. Low
The Integer-Antimagic Spectra Of A Disjoint Union Of Hamiltonian Graphs, Uğur Odabaşi, Dan Roberts, Richard M. Low
Faculty Research, Scholarly, and Creative Activity
Let A be a nontrivial abelian group. A simple graph G = (V,E) is A-antimagic, if there exists an edge labeling f: E(G) → A\{0} such that the induced vertex labeling (Formula Presented) is a one-to-one map. The integer-antimagic spectrum of a graph G is the set IAM(G) = {k: G is Zk-antimagic and k ≥ 2}. In this paper, we determine the integer-antimagic spectra for a disjoint union of Hamiltonian graphs.
Computation Of New Diagonal Graph Ramsey Numbers, Richard M. Low, Ardak Kapbasov, Arman Kapbasov, Sergey Bereg
Computation Of New Diagonal Graph Ramsey Numbers, Richard M. Low, Ardak Kapbasov, Arman Kapbasov, Sergey Bereg
Faculty Research, Scholarly, and Creative Activity
For various connected simple graphs G, we extend the table of diagonal graph Ramsey numbers R(G,G) in ‘An Atlas of Graphs.’ This is accomplished by first converting the calculation of R(G,G) into a satisfiability problem in propositional logic. Mathematical arguments and scientific computing are then used to calculate R(G,G).
Room To Breathe: Using Adaptive Architecture To Examine The Relationship Between Alexithymia And Interoception, Haneen Abdulhamid, Nils Jäger, Holger Schnädelbach, Alastair D. Smith
Room To Breathe: Using Adaptive Architecture To Examine The Relationship Between Alexithymia And Interoception, Haneen Abdulhamid, Nils Jäger, Holger Schnädelbach, Alastair D. Smith
School of Psychology
ObjectiveIndividuals with alexithymia experience difficulties interpreting emotional states in self and others, which has been associated with interoceptive impairment. Current theories are primarily based on subjective and conscious measures of interoceptive sensitivity, such as heartrate detection, but it is unclear whether similar observations would be found for objective or implicit psychophysiological measures. The present exploratory study assesses the potential of a novel assay through the use of adaptive immersive architecture [ExoBuilding].MethodsN = 88 participants were screened for alexithymic traits and N = 27 individuals, representing the range of scores, were sampled to participate in the behavioural task. In a repeated-measures …