Digital Commons Network^™

Valuing Social Data, Amanda Parsons, Salomé Viljoen

Law & Economics Working Papers

Social data production is a unique form of value creation that characterizes informational capitalism. Social data production also presents critical challenges for the various legal regimes that are encountering it. This Article provides legal scholars and policymakers with the tools to comprehend this new form of value creation through two descriptive contributions. First, it presents a theoretical account of social data, a mode of production which is cultivated and exploited for two distinct (albeit related) forms of value: prediction value and exchange value. Second, it creates and defends a taxonomy of three “scripts” that companies follow to build up and …

Optimization Of A Bioreactor, Ali Alshami

AI Assignment Library

The primary objective of this assignimentis to learn to work effectively as a team, and to design an experiment where optimization is essential.

Accomplishments Of Endwall Contouring On Heat Transfer In A Passage Of A Turbine Blade, Kozhikkatil Sunil Arjun, Tide Porathoor Sunny, Narayanan Biju

Makara Journal of Technology

The study explores axisymmetric endwall contouring with emphasis on the design of novel endwalls capable of heat load reduction. Optimizations with parameterization numerically determined by the endwall of flat shape led to the endwall of the contoured shape with substantial depletion of heat transfer in the passage of the vane. Heat transfer attributes for the generated contoured endwalls were analyzed for the exit Reynolds number of 2 × 106 . Endwall three-dimensional contouring resulted in remarkable changes in secondary flow vortices, jet-to-secondary flow interaction, and film cooling effectiveness on the flat endwall. The results pointed out that the axisymmetric convergent …

Selection Of Materials For A Nuclear Rocket Engine, Marcos Fernandez-Tous

AI Assignment Library

Selection of materials which will be used in the construct of a nuclear reactor for a space rocket.

Mexican American Adolescents’ Conversations About Goals: The Centrality Of Financial Aspiration To Career And Educational Pursuit, Heidi Adams Rueda, Qihao Zhan, Lela Rankin, Deaven Greenberg

Social Work Faculty Publications

We explored Mexican American adolescents’ goals as discussed with a romantic relationship partner. Thirty-four Mexican American hetero-dating couples aged 15 to 17 (M = 11.71 months dating) from an urban city in a Southwest border state participated in a video-taped discussion. Drawing on Social Cognitive Career Theory, we inductively coded for themes and found that youth prioritized career, education, family planning, travel, and relationship goals. We were sensitized to the centrality of financial aspiration to each of these themes, and further operationalized youth’s level of financial aspiration as either modest, ambivalent, or high. Applying this template, we analyzed the …

Can Artificial Intelligence, Specifically Large Language Models (Llms), Enhance Human Emotional Intelligence Responses In A Small Team Work Environment?, Jason Evans

AI Assignment Library

Compare real-world human responses to potential conflict situations to an artificial intelligence response. Several articles have suggested that LLMs may actually be more successful at modeling proper human emotional responses than factual based responses. The objective of this assignment is for students to discover if and how a LLM can serve as a model for proper responses to minimize conflict and increase team effectiveness. This specific assignment was designed for aviation students, but can be adapted for any small team working environment.

It Governance Matter: A Structured Literature Review, Nariman Osama Kandil, Ehab Kamel Abou-Elkheir, Amr M. Kotb

All Works

The aim of this paper is to critically explore information technology governance (ITG) context, its consequences, its various aspects, its determinants, disclosure, maturity, and challenges. There are some motivations that urge the researchers to carry out this study. First, the review of prior relevant literature reveals a limited number of studies addressing the IT governance context, its consequences, its various aspects, its determinants, and challenges. Second, very little is known about the potential implications of IT governance within the business and how it is significant to the decision-makers (e.g., shareholders, board of directors, executives, etc.). Finally, little research employs the …

Steve Catanich Oral History Interview, Steve Catanich

Raymond College

No abstract provided.

Permeability Prediction For Expansive Soil Based On Physical Properties Using Artificial Neural Networks, Ferry Fatnanta, Imam Suprayogi, Nicola Rabb Ranata, Soewignjo Agus Nugroho, Agus Ika Putra

Makara Journal of Technology

Permeability is a soil parameter related to the construction industry to understand the processes of infiltration, runoff, and settlement. The risk of testing errors is inevitable in permeability investigations, especially in expansive soils. Trial and error in permeability testing becomes difficult due to soils with small pore sizes and large shrinkage expansion. Several studies related to soil physical properties that affect permeability have been conducted. However, the correlation results obtained still have poor accuracy. Artificial neural networks (ANN) are machine learning systems that can change their structure to solve problems that are included in the system. The use of ANNs …

Impact Of Digital Transformation On Achieving Sustainability In Utility Sector Of Uae, Abdulrahman Salem Alsaleh

Theses

The central focus of the current study is to understand the impact of digital technology on sustainable practices in a utility sector within the UAE. The research examined whether AI, blockchain, and big data can improve sustainability in the company to completely understand how digital technologies influences sustainable practices in the county’s utility sector. Data were gathered using the survey data collection method for a quantitative review. The reliability of the data was examined using Cronbach’s Alpha, and the strength of the relationships between the variables was investigated using correlation analysis. The extent to which the adoption of AI, big …

Senate Meeting, August 30, 2023, Academic Senate

Academic Senate Minutes

No abstract provided.

Post Covid-19 Effect On Medical Staff And Doctors' Productivity Analysed By Machine Learning, Maitham G. Yousif, Khalid Hashim, Salman Rawaf

Baghdad Science Journal

The COVID-19 pandemic has profoundly affected the healthcare sector and the productivity of medical staff and doctors. This study employs machine learning to analyze the post-COVID-19 impact on the productivity of medical staff and doctors across various specialties. A cross-sectional study was conducted on 960 participants from different specialties between June 1, 2022, and April 5, 2023. The study collected demographic data, including age, gender, and socioeconomic status, as well as information on participants' sleeping habits and any COVID-19 complications they experienced. The findings indicate a significant decline in the productivity of medical staff and doctors, with an average reduction …

Researchers Awarded Close To $3 Million To Develop Sustainable In-Space Manufacturing, Robbin Ray

UNH Today Archive

No abstract provided.

The Parthenon, August 30, 2023, Evan Green, Conner Woodruff, Matt Schaffer, Chayce Matheny, Victoria Ware, Shauntelle Thompson, Rafael Alfonso, Scott Price

The Parthenon

No abstract provided.

Understanding The Use Of Artificial Intelligence In Cybercrime, Katalin Parti, Thomas Dearden, Sinyong Choi

International Journal of Cybersecurity Intelligence & Cybercrime

Artificial intelligence is one of the newest innovations which offenders exploit to satisfy their criminal desires. Although understanding cybercrime that is associated with this relatively new technology is essential in developing proper preventive measures, little has been done to examine this area. Therefore, this paper provides an overview of the two articles featured in the special issue of the International Journal of Cybersecurity Intelligence and Cybercrime, one about deepfakes in the metaverse and the other about social engineering attacks. The articles were written by the winners of the student paper competition at the 2023 International White Hat Conference.

Victimization By Deepfake In The Metaverse: Building A Practical Management Framework, Julia Stavola, Kyung-Shick Choi

International Journal of Cybersecurity Intelligence & Cybercrime

Deepfake is digitally altered media aimed to deceive online users for political favor, monetary gain, extortion, and more. Deepfakes are the prevalent issues of impersonation, privacy, and fake news that cause substantial damage to individuals, groups, and organizations. The metaverse is an emerging 3-dimensional virtual platform led by AI and blockchain technology where users freely interact with each other. The purpose of this study is to identify the use of illicit deep fakes which can potentially contribute to cybercrime victimization in the metaverse. The data will be derived from expert interviews (n=8) and online open sources to design a framework …

Harnessing Large Language Models To Simulate Realistic Human Responses To Social Engineering Attacks: A Case Study, Mohammad Asfour, Juan Carlos Murillo

International Journal of Cybersecurity Intelligence & Cybercrime

The research publication, “Generative Agents: Interactive Simulacra of Human Behavior,” by Stanford and Google in 2023 established that large language models (LLMs) such as GPT-4 can generate interactive agents with credible and emergent human-like behaviors. However, their application in simulating human responses in cybersecurity scenarios, particularly in social engineering attacks, remains unexplored. In addressing that gap, this study explores the potential of LLMs, specifically the Open AI GPT-4 model, to simulate a broad spectrum of human responses to social engineering attacks that exploit human social behaviors, framing our primary research question: How does the simulated behavior of human targets, based …

Maritime Collision Regulations As A Structure For Space Travel, Swathi Paruchuru

Brooklyn Journal of International Law

The exploration of space via manned and unmanned missions has been almost constant since the mid-20th century. With developing technology and the advent of private actors in space travel, the emerging problem of space traffic requires some form of guidelines in order to prevent collisions and continue the peaceful use of space. Space Traffic Management is an emerging field with new theories still being posited. This Note examines the ways in which maritime Collision Regulations (COLREGs) can be used as a guideline to create infrastructure for the control of traffic in space, regarding both satellites and general space debris. This …

Beyond Consumer Protection: Standardized Stablecoins Disclosure As Information Infrastructure, Shuping Li

Brooklyn Journal of International Law

This article argues for standardized disclosure for stablecoins regulation. Information disclosure has long been considered a primary tool for consumer protection. Stablecoin issuers should disclose honestly and responsibly about the qualification of themselves, as well as the value, quantity, and operational mechanism of their stablecoins. Such disclosure can prevent issuers from taking advantage of information asymmetries for consumer exploitation or fraud. It is then up to the consumers to make informed investment or consumption decisions. More importantly, this paper argues that the fundamental role of information disclosure is to form a knowledge base for financial regulation and policymaking. The importance …

Synchrotron Photoionization Study Of Two Reactions, Alpha Angelica Lactone And Propargyl Alcohol Oxidation Initiated By O(3p) Atoms, Golbon Rezaei

Master's Theses

This work describes the oxidation behavior of biofuels, Alpha Angelica Lactone, and Propargyl Alcohol through combustion experiments conducted at the chemical Dynamics Beamline 9.0.2 of the Advanced Light Source (ALS) situated at the Lawrence Berkeley National Laboratories (LBNL) in Berkeley, CA. The combustion process of these two biofuels was initiated by O(3P), and they were analyzed using a multiplexed chemical kinetics photoionization mass spectrometer with tunable synchrotron radiation. The primary products of these two reactions were identified by kinetic time traces and characterized using the photoionization spectra.

The initial chapter of this work describes the importance of using biofuels instead …

Butte Priority Soils Operable Unit (Bpsou) Unreclaimed And Insufficiently Reclaimed Sites Request For Change 2023-01, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

‘The Food Of The Home’ An Exploration Of Place And Practice Of Ordinary Women In Dublin City 1950-2000 On Irish Cuisine, Roann Byrne

Dissertations

Before the rise of restaurants and the accessibility of dining out, the home was where food engagement took place. In the recent surge of Irish Michelin restaurants, and our growing reputation for food culture, one element has been overlooked. Long before the great chefs and level of fine dining we have now – the heart of Irish food culture lay in the home. In the ongoing debate of what Irish cuisine is, we haven’t thought to look inwards, to the routes of our food engagement. This thesis seeks to understand the places, practices and engagement of ordinary women and food …

Investigating The Resistance Properties Of Concrete Containing Waste Carpet Fibers, Faezeh Nejati, Ali Mahboobi

Makara Journal of Technology

This research was conducted with the aim of investigating the use of waste carpet fiber (WCF) and assessing the resistance properties of concrete. The main goal of this study was to investigate the effect of the internal processing of concrete containing WCF on increasing its resistance properties. At the same time, the secondary goals pursued in the research included determining the optimal percentages of carpet fibers in improving compressive strength, tensile strength, and bending strength. The materials used included cement, aggregates, water, WCF, and super lubricant. This research applied seven mixing designs: A, B1, B2, C1, C2, D1, and D2. …

Office Of Research, Economic Engagement And Outreach Update, August 30, 2023, Office Of Research, Economic Engagement And Outreach

Office of Research, Economic Engagement and Outreach

No abstract provided.

Revealing The Power Practices And Ideology Of Pedophiles In Pedophile Community Through Transitivity Choices, Antok Risaldi, Anang Santoso, Moch. Syahri, Yuni Pratiwi

Bahasa dan Seni: Jurnal Bahasa, Sastra, Seni, dan Pengajarannya

Among the choices of grammatical forms, the transitive system stands out in the pedophile community. The purpose of this study is to reveal the exercise of power and ideology of pedophiles through their transitive choices. In systemic functional linguistics (SFL), the transitivity system is widely used to analyze isolated clauses and contextual clauses. The data for this research was taken from conversational texts by pedophiles at WordPress Jakongsu from December 2021 to February 2022. Data were collected through netnography approach (Kozinets, 2010), which applies ethnography collection technique in the virtual world. The existed data were compiled in a digital archive. …

Assessing The Impact Of Access To Library Resources And Services On The Learning Outcomes Of Distance Learners In National Open University Of Nigeria, Musa Yila Umar Dr., Babarotimi Opeyemi Oluwaseun Mr., Snimbalya Simeon Bukar Mrs.

Library Philosophy and Practice (e-journal)

Abstract

This paper examines the influence of access to library resources and services on the learning outcomes of distance learners in Nigeria. The study's objectives include investigating the impact of library resources and services on learning outcomes and exploring their joint influence. Research hypotheses are formulated and tested. The literature review demonstrates that library resources and services positively impact academic performance, research skills, engagement, and community sense among distance learners. Challenges such as user interface difficulties and information literacy skill gaps are discussed. The research methodology utilizes a survey design with a population of 4802 students and a sample size …

تحليلُ خصائص حوادث المشاة ومُحدِّداتها المكانية في مدينة الرياض خلال الفترة (2017 – 2019), مفرح ضايم القرادي

Journal of Arts and Social Sciences

حوادث الدَّهْس- نظم المعلومات الجغرافية- المُحدِّدات المكانية- كثافة الحوث- الانحدار الجغرافي الموزون.

The Central Role Of Active Learning In University Education: With Special Reference To Content Courses The Central Role Of Active Learning In University Education: With Special Reference To Content Courses, Rashid Ali Al-Balushi

Journal of Arts and Social Sciences

This paper raises the question of why university graduates lack higher order intellectual skills, and ascribes this to the teaching approach adopted for content courses. It argues that the lack of critical thinking and problem solving as well as research skills is due to the widespread use of the direct approach to instruction for university content courses. It thus argues that the solution is in adopting teaching approaches that promote active learning, like the discussion approach and the problem-based approach. The recommended approaches aim at arousing students’ curiosity about the material through assigning readings and presenting problems, which prompts the …

Asymmetric Secondary Flows Above Geometrically Symmetric Surface Roughness, Wen Zhang, Xiang Yang, Xiaowei Zhu, Minping Wan, Shiyi Chen

Mechanical and Materials Engineering Faculty Publications and Presentations

The mean flow behaviour of a turbulent boundary layer over rough walls is expected to exhibit symmetries that govern the flow dynamics. In particular, when roughness elements are arranged in a spanwise symmetric manner, the mean flow above them should also exhibit spanwise symmetry. This symmetrical consideration has garnered substantial empirical support. We conduct direct numerical simulations (DNS) of flow over aligned cube arrays to test such symmetry considerations further. We vary the surface coverage density from 0.25 % to 6.25 %, and employ an averaging time of about 100 large-eddy turnover times, which is longer than the typical averaging …

Reconstructing 42 Years (1979–2020) Of Great Lakes Surface Temperature Through A Deep Learning Approach, Miraj Kayastha, Tao Liu, Daniel Titze, Timothy C. Havens, Chenfu Huang, Pengfei Xue

Michigan Tech Publications

Accurate estimates for the lake surface temperature (LST) of the Great Lakes are critical to understanding the regional climate. Dedicated lake models of various complexity have been used to simulate LST but they suffer from noticeable biases and can be computationally expensive. Additionally, the available historical LST datasets are limited by either short temporal coverage (<30 >years) or lower spatial resolution (0.25° × 0.25°). Therefore, in this study, we employed a deep learning model based on Long Short-Term Memory (LSTM) neural networks to produce a daily LST dataset for the Great Lakes that spans an unparalleled 42 years (1979–2020) at …