Digital Commons Network^™

Neutrosophic Approaches To Environmental Law And Policy, Santiago Fernando Fiallos Bonilla, Diego Fernando Coka Flores, Janneth Ximena Iglesias Quintana, Víctor Raúl Reátegui Paredes

Neutrosophic Sets and Systems

No abstract provided.

Application Of Neutrosophic Correlation In The Identification Of Deficiencies In Animal Protection, Teresa De Jesús Molina Guitérrez, Mesías Elías Machado Maliza, Milena Álvarez Tapia, Noel Moreno Lemus

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Analysis Of Equity In The Justice System, Bolívar David Narváez Montenegro, Oscar Fabian Silva Montoya, Julián Rodolfo Santillan Andrade, Christian Fernando Tantaleán Odar

Neutrosophic Sets and Systems

No abstract provided.

Ethics In Medical Research And Experimentation, Carlos Castañeda Guillot, Icler Sisalema Aguilar, Alex Valencia Herrera, Wilder Fabio Ramos Palacios

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems {Special Issue: Neutrosophic Advancements And Their Impact On Research In Latin America}, Vol. 62, 2023, Florentin Smarandache, Mohamed Abdel-Basset, Maikel Leyva Vazquez, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Perceived Brand Authenticity As The Answer To Global Crises, Magdalena Grębosz-Krawczyk

European Management Studies

Purpose: The aim of the article is to assess the impact of perceived brand authenticity and its different dimensions on the brand choice of young consumers. Design/methodology/approach: The experiment was applied in the study. A sample of 180 Polish young respondents from Lodz region participated in the study in December 2022. Findings: The research results confirm that perceived brand authenticity positively affects the brand choice in case of young consumers, even if a higher price is applied. The most important PBA dimension in the case of mineral water is the brand naturalness. The study also proved that the brand origin …

Concrete Or Abstract? The Effects Of Picture Concreteness And Mental Illness Prevalence On Destigmatizing Mental Illnesses, Roma Subramanian, Sungkyoung Lee, Jonathan Santo, Shinobu Watanabe-Galloway

Psychology Faculty Publications

This study investigated how picture concreteness (cartoon versus photo) and mental illness prevalence level (high versus low) in mental health messages influence mental illness stigma via a within-subjects online experiment (N = 92). Findings revealed that, compared to cartoons, photos elicited greater empathic closeness, decreased social distancing intention (especially for the low-prevalence mental illnesses of schizophrenia and bipolar disorder), and increased intention to support mental health policies. Compared to photos, cartoons increased comprehension (especially for the high-prevalence mental illnesses of depression and anxiety) and reduced personal responsibility for mental illness. Messages about high-prevalence mental illnesses compared to low-prevalence mental illnesses …

Byu Law Review Subscription Information

BYU Law Review

No abstract provided.

Full Issue

BYU Law Review

No abstract provided.

Hidden Contracts, Shmuel I. Becher, Uri Benoliel

BYU Law Review

Transparency is a promising means for enhancing democratic values, countering corruption, and reducing power abuse. Nonetheless, the potential of transparency in the domain of consumer contracts is untapped. This Article suggests utilizing the power of transparency to increase consumer access to justice, better distribute technological gains between businesses and consumers, and deter sellers from breaching their consumer contracts while exploiting consumers’ inferior position.

In doing so, this Article focuses on what we dub “Hidden Contracts.” Part I conceptualizes the idea of hidden contracts. It first defines hidden contracts as consumer form contracts that firms unilaterally modify and subsequently remove from …

Twenty-First Century Split: Partisan, Racial, And Gender Differences In Circuit Judges Following Earlier Opinions, Stuart Minor Benjamin, Kevin M. Quinn, Byungkoo Kim

BYU Law Review

Judges shape the law with their votes and the reasoning in their opinions. An important element of the latter is which opinions they follow, and thus elevate, and which they cast doubt on, and thus diminish. Using a unique and comprehensive dataset containing the substantive Shepard’s treatments of all circuit court published and unpublished majority opinions issued between 1974 and 2017, we examine the relationship between judges’ substantive treatments of earlier appellate cases and their party, race, and gender. Are judges more likely to follow opinions written by colleagues of the same party, race, or gender? What we find is …

“Any”, James J. Brudney, Ethan J. Leib

BYU Law Review

Our statute books use the word “any” ubiquitously in coverage and exclusion provisions. As any reader of the Supreme Court’s statutory interpretation docket would know, a large number of cases turn on the contested application of this so-called universal quantifier. It is hard to make sense of the jurisprudence of “any.” And any effort to offer a unified approach—knowing precisely when its scope is expansive (along the “literal-meaning” lines of “every” and “all”) or confining (having a contained domain related to properties provided by contextual cues)—is likely to fail. This Article examines legislative drafting manuals, surveys centuries of Court decisions, …

Balance In The Basin, Casey Lee Mcclellan

BYU Law Review

The National Environmental Policy Act (NEPA) changed the way land managers and users interact with public lands. However, its stringent requirements are not responsive to today’s environmental and economic realities. For the future of sustainable mineral extraction, there must be a better way. Adaptive management, a more flexible planning process, should be used on public lands to ensure greater leeway for operators, environmentalists, and local economies. By analyzing rural northeastern Utah’s Uinta Basin’s history and existing public land use plans, this Note applies adaptive management to the area to show how thinking outside the box can solve seemingly unsolvable problems.

Byte A Carrot For Change: Uprooting Problems In Data Privacy Regulations, Sarah Terry

BYU Law Review

There is a growing gap between technology advancement and a lagging regulatory system. This is particularly problematic in consumer data privacy regulating. Companies hold collected consumer data and determine its use largely without accountability. As a result, ethical questions that carry society-shaping impact are answered in-house, under the influence of groupthink, and are withheld from anyone else weighing in.

This Note poses a solution that would address multiple data privacy regulation issues. Namely, an incentive approach would help even out the information-imbalanced system. Incentives are used as tools throughout intellectual property law to foster commercial progress, discourage trade secrets, and …

Unlocking The Potential Of Earned Value Management In Construction: A Comparative Study, Mohamed Elsaid

Theses and Dissertations

The implementation of earned value management (EVM) in the construction industry faces challenges when it comes to application, accuracy, and interpretability of results, with potential enhancements yet to be realized. In light of technological advancements, there is an opportunity to develop a controlled EVM approach for improved project management. The goal of this research is to enhance the application and accuracy of earned value techniques in Egyptian construction projects through a comprehensive evaluation of Earned Duration, Earned Schedule, and Planned Value methods. The key challenge that is addressed in this research lies in selecting an optimal technique considering the variations …

’Tis The Season: Tale Of The Three Unwise Women, Jethro K. Lieberman

Other Publications

No abstract provided.

Credit Risk Modeling Using Interpreted Xgboost, Marcin Hernes, Jędrzej Adaszyński, Piotr Tutak

European Management Studies

Purpose: The aim of the paper is to develop a credit risk assessment model usingb the XGBoost classifier supported by interpretation issues. Design/methodology/approach: The risk modeling is based on Extreme Gradient Boosting (XGBoost) in the research. It is a method used for regression and classification problems. It is based on a sequence of decision trees using a gradient-based optimization method of the loss function to minimize the errors of weak estimators. We use also methods for performing local and global interpretability: ceteris paribus charts, SHAP and feature importance approach. Findings: Based on the research results, it can be concluded that …

Technology Intelligence As A One Of The Key Factors For Successful Strategic Management In The Smart World, Anna Adamik

European Management Studies

Purpose: Due to the poor recognition in the literature of the phenomenon of Technology Intelligence in contemporary organizations, the aim of the paper is to attempt to recognize the essence and significance of Technology Intelligence of organizations operating in a Smart World. Design/methodology/approach: The paper is conceptual-empirical in nature. The operationalization proposal is based on the identification and assessment of the Technology Intelligence of organizations as one of the key pillars of effective management in the Smart World. Findings: An organization’s Technology Intelligence significantly accelerates and improves the quality of many organizational processes, including smart strategic management. Unfortunately, it does …

Social Media Utilization Of Public Benefit Organizations During The Covid-19 Pandemic, Piotr Szamrowski, Marian Oliński

European Management Studies

Purpose: The main purpose of the research was twofold. First, it was to assess the impact of the COVID-19 pandemic on the publishing activity of Polish public benefit organizations on Facebook. Second, to determine the impact of content published in a crisis situation on the public reaction. Design/methodology/approach: During the investigation, the financial reports of public benefit organizations were analyzed. Farther the basic parameters of the organization’s Facebook profile and the content published on Facebook were analyzed (1025 organizations were covered by the research). From the reports, financial data of organizations has been collected. Both in 2020 and in 2021, …

A Critical Computing Curriculum Design Case: Exploring Tribal Sovereignty For Middle School Students, Kristin A. Searle, Aubrey Rogowski, Colby Tofel-Grehl, Mengying Jiang

Journal of Computer Science Integration

We report on our efforts to design an integrated computing curriculum for middle school students in Montana that is in line with the Kapor Center’s focus on culturally sustaining-revitalizing pedagogies. Montana provides a unique context for doing this work because a state constitutional mandate requires all K-12 students to learn about tribal histories and cultures through Indian Education For All (IEFA). IEFA centers around seven essential understandings about Indigenous peoples in Montana that are integrated across content areas. In addition, implementation of Montana’s CS standards began in the 2021–2022 school year. In the curricular design, we sought to bring together …

Employing An Abolitionist, Critical Race Pedagogy In Cs: Centering The Voices, Experiences And Technological Innovations Of Black Youth, Tiera Tanksley

Journal of Computer Science Integration

This paper proposes a pedagogical extension of culturally responsive praxis called abolitionist, critical race pedagogy in CS. To showcase the power and potentiality of this pedagogy, this paper examines the experiences of 2 cohorts of Black high school students (n = 30) who participated in a critical race technology course that was taught during the dual pandemic of COVID-19 and anti-Black racism. The goal of this summer course was to employ an abolitionist, critical race pedagogy in CS to foster Black students’ ability to critically examine the ubiquity of anti-Black racism within the socio-technical architectures (e.g. code, data, algorithms and …

Indicators Of Fatigue During A Soccer Match Simulation Using Gps-Derived Workload Values: Which Metrics Are Most Useful?, Benjamin J. Snyder, Cameron Maung-Maung, Cameron Whitacre

Open Access Fund Publications

Research into women’s competitive soccer matches has shown distance and high-speed running (HSR) reductions over time, but the effects on some GPS-derived metrics have not been investigated. The purpose of this project was to examine the utility of common GPS metrics for indicating fatigue from the T-SAFT90 match simulation in collegiate soccer players. Unlike in competitive matches, changes to these metrics occurred as early as 15 min, with HSR, average and max speed, and speed intensity (SI) exhibiting significant declines. HSR and SI were even further decreased in later periods, with HSR lower in minutes 30–40 (T30–35 and T35–40) than …

Chimera Baryon Spectrum In The Sp(4) Completion Of Composite Higgs Models, Ho Hsiao, Ed Bennett, Deog Ki Hong, Jong-Wan Lee, C.-J. David Lin, Biagio Lucini, Maurizio Piai, Davide Vadacchino

School of Engineering, Computing and Mathematics

In strongly coupled gauge theories that serve as completions of composite Higgs models, thefermionic bound states formed by fermions (hyperquarks) transforming in different representations, called chimera baryons, could serve as top partners, by embedding of the Standard Modelappropriately. We report our results on the spectrum of chimera baryons in the �� ��(4) gauge theorywith hyperquarks transforming in fundamental and two-index antisymmetric representations. Forthis study, we adopt the quenched approximation. We investigate the mass hierarchy between thelightest chimera baryons with different quantum numbers, as a function of the lattice parameters.Inspired by baryon chiral effective field theory, and the Akaike Information Criterion, …

The Deconfinement Phase Transition In $Sp(2n)$ Gauge Theories And The Density Of States Method, David Mason, Biagio Lucini, Maurizio Piai, Enrico Rinaldi, Davide Vadacchino

School of Engineering, Computing and Mathematics

First-order phase transitions in the early universe might produce a detectable background ofgravitational waves. As these phase transitions can be generated by new physics, it is importantto quantify these effects. Many pure Yang-Mills gauge theories are known to undergo first-orderdeconfinement phase transitions, with properties that can be studied with lattice simulations.Despite the recent surge of interest in ����(2��) gauge theories as a candidate for models of physicsbeyond the standard model, studies of these theories at finite temperature are still very limited. Inthis contribution we will present preliminary results of an ongoing numerical investigation of thethermodynamic properties of the deconfinement phase …

Lattice Studies Of Sp(2n) Gauge Theories Using Grid, Niccolo Forzano, Ed Bennett, Peter Boyle, Jong-Wan Lee, Julian Lenz, Biagio Lucini, Alessandro Lupo, Maurizio Piai, Davide Vadacchino, Luigi Del Debbio, Deog Ki Hong, C.-J David Lin

School of Engineering, Computing and Mathematics

No abstract provided.

Understanding The Biering-Sørensen Test: Contributors To Extensor Endurance In Young Adults With And Without A History Of Low Back Pain, Jonathan Shaw, Jesse V. Jacobs, Linda R. Van Dillen, George J. Beneck, Jo Armour Smith

Physical Therapy Faculty Articles and Research

The Biering-Sørensen test is commonly used to assess paraspinal muscle endurance. Research using a single repetition of the test has provided conflicting evidence for the contribution of impaired paraspinal muscle endurance to low back pain (LBP). This study investigated how Sørensen test duration, muscle activation, and muscle fatigability are affected by multiple repetitions of the test and determined predictors of Sørensen test duration in young adults with and without a history of LBP. Sixty-four young individuals performed three repetitions of the Sørensen test. Amplitude of activation and median frequency slope (fatigability) were calculated for the lumbar and thoracic paraspinals and …

Single-Pulse Electrical Stimulation Artifact Removal Using The Novel Matching Pursuit-Based Artifact Reconstruction And Removal Method (Mparrm), Tao Xie, Thomas J Foutz, Markus Adamek, James R Swift, Cory S Inman, Joseph R Manns, Eric C Leuthardt, Jon T Willie, Peter Brunner

2020-Current year OA Pubs

No abstract provided.

Using Long-Read Cage Sequencing To Profile Cryptic-Promoter-Derived Transcripts And Their Contribution To The Immunopeptidome, Ju Heon Maeng, H Josh Jang, Alan Y Du, Shin-Cheng Tzeng, Ting Wang

2020-Current year OA Pubs

Recent studies have shown that the noncoding genome can produce unannotated proteins as antigens that induce immune response. One major source of this activity is the aberrant epigenetic reactivation of transposable elements (TEs). In tumors, TEs often provide cryptic or alternate promoters, which can generate transcripts that encode tumor-specific unannotated proteins. Thus, TE-derived transcripts (TE transcripts) have the potential to produce tumor-specific, but recurrent, antigens shared among many tumors. Identification of TE-derived tumor antigens holds the promise to improve cancer immunotherapy approaches; however, current genomics and computational tools are not optimized for their detection. Here we combined CAGE technology with …

Timeliness In Deterministic Network Data Transfer With An Mqtt Publisher For A Mobile Truck Platoon Scenario, Akram Sheriff, Pascal Thubert, Frank Brockners

Defensive Publications Series

Techniques are presented herein that support the guaranteed and timely delivery of operational technology (OT) messages across any technology-agnostic, wireless Internet of things (IoT) gateway (within a cluster, a truck platoon, a mobility as a service (MaaS) use case, etc.) when the primary node that is running an MQTT publisher (having an active network connection to an MQTT broker or MQTT server) becomes unavailable. Under such an arrangement, an MQTT broker could, depending upon the MaaS or other use case, be running in an edge layer (in an edge-native mode, in a fog layer, or in a cloud layer as …

An Ensemble Dnn Model For Automatic Detection Of Covid-19 From Cxr Scans, Hagar Hesham Eldawoudy, Mohamed Abdelazim Mohamed, Eman Abdelhalim

Mansoura Engineering Journal

The new coronavirus 2019 (COVID-19) pandemic has been destructive to human life and has resulted in a significant number of deaths globally. Detecting COVID-19 as early as possible is a critical way to prohibit the virus from quickly passing among people. RT-PCR is a method used for COVID-19 detection, but it is very expensive and isn’t an accurate method due to its sensitivity of 60–70%. For these reasons, deep learning and imaging techniques are combined by doctors, scientific experts, and professionals for accurate and rapid COVID-19 detection. In this work, we propose a stacked ensemble model based on Linear Regression …