Digital Commons Network^™

Spartan Daily, August 30, 2023, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2023

Volume 161, Issue 05

Brad Rush V. City Of Philadelphia

2023 Decisions

USDC for the Eastern District of Pennsylvania

Bertumbuh Berkembang: Modul Pelatihan Pendidik Paud, Hani Yulindrasari

Pengembangan Profesional

Modul Pendidik PAUD-HI ini memaparkan berbagai aspek perkembangan anak yang dibagi ke dalam indikator pencapaian per kategori umur di 6 area perkembangan yang mengacu kepada Standar Tingkat Pencapaian Perkembangan Anak (STTPA). Pembelajaran inklusi, pembelajaran berbasis bermain, serta cara komunikasi postif juga dijelaskan dalam modul yang disusun khusus untuk pendidik PAUD.

This module written in Indonesian Bahasa has been developed for Early Childhood Educators and describes key aspects of children's development. It is divided into achievement indicators by age in 6 areas of development referred to in the Standard Levels of Achievement of the Development of Children (in Indonesian: STTPA). Creating …

Curriculum Subcommittee Agenda September 7, 2023, Utah State University

Educational Policies Committee

• Approval of Minutes - April 6, 2023
• Program Proposals
• Semester Course Approval Reviews
• Other Business - New baccalaureate programs template and cross/dual listed info for the EPC handbook
• Adjourn: 3:00 pm

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

Media Relations

No abstract provided.

Deep Learning-Based Predictive Model Of Mrna Vaccine Deterioration: An Analysis Of The Stanford Covid-19 Mrna Vaccine Dataset, Nisreen Sulayman

Baghdad Science Journal

The emergence of SARS-CoV-2, the virus responsible for the COVID-19 pandemic, has resulted in a global health crisis leading to widespread illness, death, and daily life disruptions. Having a vaccine for COVID-19 is crucial to controlling the spread of the virus which will help to end the pandemic and restore normalcy to society. Messenger RNA (mRNA) molecules vaccine has led the way as the swift vaccine candidate for COVID-19, but it faces key probable restrictions including spontaneous deterioration. To address mRNA degradation issues, Stanford University academics and the Eterna community sponsored a Kaggle competition.This study aims to build a deep …

The Relaying Network In Free-Space Optical Communications Using Optical Amplifiers In Cascaded Configuration, Ucuk Darusalam, Arockia Bazil Raj, Fitri Yuli Zulkifli, Purnomo Sidi Priambodo, Eko Tjipto Rahardjo

Makara Journal of Technology

Optical relaying is the best technique to implement free-space optical (FSO) communications as a terrestrial platform. However, atmospheric turbulence (AT) limits the optical-propagation path length. In this study, the implementation of some optical amplifiers (OAs) in cascaded configuration, namely, erbium-doped fiber amplifiers, semiconductor OAs, and Raman amplifiers (RAs), are investigated through simulation. This study aims to search for the maximum link distance of an optical propagation and enhance the FSO performance caused by each configuration of OAs. The optical relaying network consists of three nodes, with each node designed with a space of several kilometers under the influence of AT. …

Atmospheric Pressure Plasma Treatment Of Skin: Penetration Into Hair Follicles, Kseniia Konina, Theresa A. Freeman, Mark J. Kushner

Department of Orthopaedic Surgery Faculty Papers

Sterilization of skin prior to surgery is challenged by the reservoir of bacteria that resides in hair follicles. Atmospheric pressure plasma jets (APPJs) have been proposed as a method to treat and deactivate these bacteria as atmospheric plasmas are able to penetrate into structures and crevices with dimensions similar to those found in hair follicles. In this paper, we discuss results from a computational investigation of an APPJ sustained in helium flowing into ambient air, and incident onto a layered dielectric similar to human skin in which there are idealized hair follicles. We found that, depending on the location of …

Improving Irrigant Flow Characteristics For Enhanced Root Canal Therapy: A Numerical Study, Bibek Banjaday

Masters Theses

This numerical study investigates the flow characteristics within a root canal during a manual endodontic treatment. To underscore the difference in root canal geometry, a simplified root canal (frustum of a cone) and a more complex (realistic) root canal geometry were considered. The needle utilized in all simulations is a side-vented 30G KerrHaweIrrigation Probe, KerrHawe SA, Bioggio, Switzerland. For both root canal geometries, the effect of variation of fluid inlet velocity, needle insertion depth, and needle tilt angle on flow characteristics was examined via velocity contours, turbulent intensity, wall shear stress, and streamline and vector plots. The fluid was Sodium …

My Brother’S Keeper: Two Black Men Navigating The Tenure-Track Experience, Danny E. Malone Jr., Jesse R. Ford

Sociology

This study explores the tenure-track experiences of two junior faculty Black men in higher education, while growing still remains vastly unexplored in higher education. Using an autoethnography approach with a critical race theory lens, the authors explore how race and institutional expectations shape their experiences along the primary components of the tenure process: research, teaching and service. While one author is beginning their tenure journey while the other is ending, findings highlight commonalities along teaching and service experiences are being mediated by their identities as Black men. Their research experiences are distinct from one another given the different research expectations …

Molecular Dynamics Simulation Of Interfacial Tension Of The Co2-Ch4-Water And H2-Ch4-Water Systems At The Temperature Of 300 K And 323 K And Pressure Up To 70 Mpa, Quoc Truc Doan, Alireza Keshavarz, Caetano R. Miranda, Peter Behrenbruch, Stefan Iglauer

Research outputs 2022 to 2026

Subsurface geologic formations such as depleted hydrocarbon reservoirs, deep saline aquifers and shale formations have been considered promising targets for carbon dioxide and hydrogen storage. A solid understanding of the interfacial properties of multiphase systems, including binary (pure gas-water) and ternary (gas mixtures and water), is vital to assess for reliability and storage capacity of the geological formations. However, most previous experimental and simulation studies for interfacial properties have mainly focused on binary systems at low-medium pressure. Only a few experimental and simulation studies investigated the interfacial tension at high pressure (above 20 MPa) for the CO₂-CH_{4 …}

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 …