Digital Commons Network^™

Expanding Access To Undergraduate Higher Education For China's Ethnic Minority Populations, Yuqian Zhang, D. Eric Archer

Journal of Critical Global Issues

China has one of the world’s oldest and largest sets of minority affirmative action policies, which provide 125 million individuals from recognized ethnic minority groups with preferences in family planning, school admissions, employment, business financing and taxation, and financial subsidies. This paper aims to examine how China implements preferential policies for ethnic minority undergraduate applicants to its higher education institutions. Policies of preferential admissions in China are designed to compensate for inequalities in educational opportunity among different ethnic groups. This compensatory approach is based on the concept that equal treatment of differently situated groups may itself create inequality. Yet preferential …

Mite Monthly Tip February 2024 Audience Response Systems, Sarah Hipkens

Journal of Maine Medical Center

No abstract provided.

The Federal Home Loan Banks Approach 100: Evolution From Housing Lender To Liquidity Provider, William C. Handorf, Reginald T. O'Shields, Tyler Holt

North Carolina Banking Institute

No abstract provided.

Reforming Fdic Coverage Limits: The Deposit Insurance Cap, Macy T. Cope

North Carolina Banking Institute

No abstract provided.

Energy Optimization In Sustainable Smart Environments With Machine Learning And Advanced Communications, Lidia Bereketeab, Aymen Zekeria, Moayad Aloqaily, Mohsen Guizani, Merouane Debbah

Machine Learning Faculty Publications

Enhancing energy optimization is crucial for sustainable and smart environments such as smart cities, connected and urban buildings, and cognitive cities. Advanced communication systems and Internet of Things (IoT) sensor systems play a key role in enhancing energy efficiency by monitoring and controlling such ecosystems. In this article, we propose a reinforcement learning (RL) approach for optimizing the energy consumption of multipurpose buildings using the EnergyPlus simulation environment. Our RL algorithm uses the proximal policy optimization with clipping (PPO-Clip) for online training and also includes an offline pretraining model to improve the stability of the proposed algorithm. The observed states …

Design Of Protograph Ldpc-Coded Mimo-Vlc Systems With Generalized Spatial Modulation, Dai Lin, Fang Yi, Guan Yongliang, Mohsen Guizani

Machine Learning Faculty Publications

This paper investigates the bit-interleaved coded generalized spatial modulation (BICGSM) with iterative decoding (BICGSM-ID) for multiple-input multiple-output (MIMO) visible light communications (VLC). In the BICGSM-ID scheme, the information bits conveyed by the signal-domain (SiD) symbols and the spatial-domain (SpD) light emitting diode (LED)index patterns are coded by a protograph low-density parity-check (P-LDPC) code. Specifically, we propose a signal-domain symbol expanding and re-allocating (SSER) method for constructing a type of novel generalized spatial modulation (GSM) constellations, referred to as SSERGSM constellations, so as to boost the performance of the BICGSM-ID MIMO-VLC systems. Moreover, by applying a modified PEXIT (MPEXIT) algorithm, we …

The Future Of Robotics: An Advanced Ethical View Of Robotics Contributing To Elderly Care, Medicine, And Workforce Participation, Maximus A. Buckingham, Jerrica M. Foster, Ruta Grinceviciute

Young Scientists and Philosophers on the Border

No abstract provided.

Origami In The Mathematics, Education And Medical Fields, At-Ziry Torres

Young Scientists and Philosophers on the Border

No abstract provided.

Introduction To The Special Issue: Responsible Ai In Libraries And Archives, Sara Mannheimer, Doralyn Rossmann, Jason Clark, Yasmeen Shorish, Natalie Bond, Hannah Scates Kettler, Bonnie Sheehey, Scott W.H. Young

Mansfield Library Faculty Publications

Librarians and archivists are often early adopters and experimenters with new technologies. Our field is also interested in critically engaging with technology, and we are well-positioned to be leaders in the slow and careful consideration of new technologies. Therefore, as librarians and archivists have begun using artificial intelligence (AI) to enhance library services, we also aim to interrogate the ethical issues that arise while using AI to enhance collection description and discovery and streamline reference services and teaching. The IMLS-funded Responsible AI in Libraries and Archives project aims to create resources that will help practitioners make ethical decisions when implementing …

Atomistic Insights Into The Mechanisms Of Ultrasonic Bonding, Milad Khajehvand

Engineering Ph.D. Theses

This thesis research uses a combination of computational and experimental approaches to provide atomistic insights into the mechanisms of ultrasonic bonding (UB), a family of solid-state metal-metal joining techniques, including ultrasonic wire bonding, ultrasonic flip-chip bonding, ultrasonic additive manufacturing, and ultrasonic spot welding. The work investigates the atomic-scale contact formation (i.e., the so-called Jump-to-Contact (JC) mechanism) between the UB counterparts, generation of a network of dislocations (i.e., one-dimensional crystallographic defects) at their interface, and the evolution of the network when the interface is under ultrasonic vibration. In particular, the thesis delivers invaluable insights on the mechanisms for contact formation, bond …

Smart Cities And Aging Well: Exploring The Links Between Technological Models And Social Models For Promoting Daily Social Interaction For Geriatric Care, Jocelyne Kiss, Lindenwood University

Faculty Scholarship

The aging global population requires a new social model to meet the growing social, economic, and physical needs of seniors. Western social models need to be reconsidered in light of examples that support communal ways of living, which are sustainable through smart city design for more supportive geriatric care systems. To address the complex problems of geriatric care in this growing aging population with specific needs related to increased lifespan and limited financial resources, the use of emerging technologies, such as artificial intelligence (AI) and the Internet of Things (IoT), should be considered. As retirement ages rise and funds for …

Design And Test The Effectiveness Of Interpretive Signs Using Eye Tracking And Biometric Data, Hadara Gordon, Wendy Miyazaki

Baker/Koob Endowments Awarded Projects

Recreational trails on forested lands should satisfy the needs of recreationists, safeguard important habitats, and maintain the natural environment (Kortenkamp et al., 2021). Appropriate management is critical because of the increasing number of visitors. Signs are a cost-effective method to reduce the negative impacts on visitors and enhance visitor experiences (Brown et al., 2010). This research aimed to investigate how visitors pay attention to signs, view the trail surrounded by trees and behave in a natural space.

College Street Journal (March 2024), College Of The Holy Cross

College Street Journal

College Street Journal serves as a student platform for business-related news, opportunities and resources at Holy Cross. Readers will discover a broad range of important topics from relevant news and economic issues, career development opportunities and advice, as well as Ciocca center and campus-wide opportunities to grow outside of the classroom.

Highlights of this edition include Study Abroad, China and the real estate market, Catholic schools in Boston, Israel's war on Gaza, alumni interviews, and a faculty editorial.

3d Pictorial Representations Of O2- And Ho2 Compared To Dft Results, Tzu-Hsiang Huang, Joseph D. Alia

Chemistry Publications

The Linnett Double Quartet (LDQ) (1) and Bohr Orbit Bonding (BOB) (2) methods were used to accurately represent the spin density distribution for superoxide (O2 -) and hydroperoxyl radical (HO2). These structural pictures were superimposed on the spin density plot produced by DFT. The Valency Interaction Formula (VIF) method (3) was also applied to these molecules and it matched the NBOs from NBO analysis of DFT results. The interaction between O2 - and H2O were analyzed and the stronger basicity of the beta-spin electrons of superoxide was identified by looking at the LDQ structure and confirmed with NBO analysis. The …

Investing In Climate: A Role For 'Sovereign Climate Funds', Marianna Kozintseva, Thierry Wizman

Sim Kee Boon Institute for Financial Economics

Efforts to address climate change have generally been focused on deploying mitigation technologies. However, it is adaptation technologies (and climate risk transfer) that will have to gain an increasing share of an investment pool dedicated to climate if human systems are to stay resilient to climate forces. Just like mitigation projects, adaptation projects have a strong public goods aspect, wherein public returns exceed private returns, and thus call for the state’s involvement. We argue that sovereign climate funds (SCFs) - new types of sovereign wealth funds with a climate investment mandate - can be critical purpose-built conduits especially for undertaking …

Machine Learning Application Of Generalized Gaussian Radial Basis Function And Its Reproducing Kernel Theory, Himanshu Singh

Math Faculty Publications and Presentations

Gaussian Radial Basis Function Kernels are the most-often-employed kernel function in artificial intelligence for providing the optimal results in contrast to their respective counterparts. However, our understanding surrounding the utilization of the Generalized Gaussian Radial Basis Function across different machine learning algorithms, such as kernel regression, support vector machines, and pattern recognition via neural networks is incomplete. The results delivered by the Generalized Gaussian Radial Basis Function Kernel in the previously mentioned applications remarkably outperforms those of the Gaussian Radial Basis Function Kernel, the Sigmoid function, and the ReLU function in terms of accuracy and misclassification. This article provides a …

Transient Analysis Of Two- Class Priority Queuing System, A. M. K. Tarabia, R. Alqady, Gh. Alshreef

Journal of Statistics Applications & Probability

A transient solution of Two-class priority queuing system was discussed in this paper, the first class with high priority and the second one with low priority and the capacity of the system is infinite. Various performance measures are examined. Some numerical analyses are discussed and some special cases are deduced and confirmed the results.

Modeling Interest Rate Dynamics For The Bank Of Ghana Rates Using The Hull-White Model, Chisara Peace Ogbogbo

Journal of Statistics Applications & Probability

Interest rates play an important role in the financial environment, affecting business transactions directly or indirectly. Fluctuations in interest rates caused largely by demand and supply of credit, regulated by the apex banks, impacts business transactions in the Economy. Understanding the dynamics of interest rates is therefore very important to Financial institutions, individual and corporate investors. In this work, the dynamics of Bank of Ghana’s, daily interest rates, ( Jan 2020 - July 2021) is modeled using the Hull-White model. London interbank offer rates, for the same period are included in the analysis. By estimating the parameters of the model, …

Modeling Interest Rate Dynamics For The Bank Of Ghana Rates Using The Hull-White Model, Chisara Peace Ogbogbo

Journal of Statistics Applications & Probability

Interest rates play an important role in the financial environment, affecting business transactions directly or indirectly. Fluctuations in interest rates caused largely by demand and supply of credit, regulated by the apex banks, impacts business transactions in the Economy. Understanding the dynamics of interest rates is therefore very important to Financial institutions, individual and corporate investors. In this work, the dynamics of Bank of Ghana’s, daily interest rates, ( Jan 2020 - July 2021) is modeled using the Hull-White model. London interbank offer rates, for the same period are included in the analysis. By estimating the parameters of the model, …

The Impact Of Management Characteristics On The Relationship Between Annual Reports Readability And Investment Decision Risks - An Empirical Study On Saudi Companies, Mahfod M. Aldoseri

Journal of Statistics Applications & Probability

This study examines the relationship between annual report readability and investment decision efficiency, as well as the impact of management characteristics. Using content analysis of annual reports from 118 non-financial companies listed on the Saudi Stock Exchange, the study found a positive correlation between readability and investment decision efficiency. It also identified negative correlations between certain management characteristics and both readability and efficiency. The study contributes practical evidence from the Saudi business environment, addressing debates and research gaps in this area.

Robust Estimation Of Multiple Logistic Regression Model, Ehab A. Mahmood

Journal of Statistics Applications & Probability

The multiple logistic regression model is commonly used in scientific researches. It is a regression model with more than two categories of response variable and multi explanatory variables. The conventional maximum likelihood estimator (MLE) is widely used to determine parameter values. It is used because it is famous and easy to apply. However, this estimator is highly sensitive to leverage points and outliers. The main objective of this research is to get the best estimation of the multiple logistic regression parameters with problem of leverage points. Two robust estimators based on robust Mahalanobis distance (RMD) are established. They are named …

Coexistence Skills Among Mothers Of Children With Multiple Disabilities In The Northern Region Of Jordan (Irbid), Najwa Abdel Hamid Darawsheh, Majid Mohammad Al-Khataybeh, Hanadi Alrashdan, Sonia Abed Alhamed Drawsheh, Afaf Saleem Abu Grarh, Meriam Sulaiman Abu Dogush

Journal of Statistics Applications & Probability

The study aimed to verify the effectiveness of a cognitive-behavioral counseling program to develop the coping skills of mothers of children with multiple disabilities in the northern region of Jordan(IRBID), to achieve the objectives of the study, a quasi-experimental approach was used. The study sample consisted of (24) mothers, the results showed that the coping skills of mothers of children with disabilities, the multiple disabilities were all moderate, and no statistically significant differences appeared between the average scores of the experimental group in the post and follow-up measurements.

Exploring Code Vulnerabilities Through Code Reviews: An Empirical Study On Openstack Nova, Taleb Fahmawi, Ahmad Nabot, Issam Jebreen, Ahmad Al-Qerem

Journal of Statistics Applications & Probability

Effective code review is a critical aspect of software quality assurance, requiring a meticulous examination of code snippets to identify weaknesses and other quality issues. Unfortunately, the biggest threat to software quality is developers’ disregard for code-writing standards, which leads to code smells. Despite their importance, code smells are not always identified during code review, creating a need for an empirical study to uncover vulnerabilities in code reviews. This study aimed to explore vulnerabilities in code reviews by examining the OpenStack project, Nova. After analyzing 4873 review comments, we identified 187 comments related to possible vulnerabilities, and a pilot study …

Blockchain Technology Trends In Different Sectors: A Review, Afaf M. Bugawa

Journal of Statistics Applications & Probability

Purpose: Currency transactions between companies or people are often controlled and characterized by third- party organizations. To make any such transaction or set up any digital payment transaction, a credit card company or bank acts as a middleman who helps to complete the transaction. The service provider charges a fee for this. Such transaction systems tend to be centralized, as the information involved in the process is managed and controlled by a third party, not the transacting parties. Blockchain technology innovates upon the transaction mechanism because it helps decentralize the environment by eliminating the third party in the transaction process. …

A Successful And Ideal Randomized Orthogonal Additive Response Model, Manzoor A. Khanday, Tanveer A. Tarray, S. Alkhazaleh, A. Ibrahim, Pratyay Das, Akansha Rawat

Journal of Statistics Applications & Probability

An innovative additive randomized response technique (RRT) has been put forth in this study. The proposed models characteristics have been researched. Theoretically, it has been demonstrated that under highly realistic circumstances, the recommended additive model is superior to the existing one. RRTs are used to lessen response biases in sensitive research question self-report surveys (e.g., on socially undesirable characteristics). Evidence suggests that they cannot entirely eradicate self-protective response mechanisms. There are RRTs made especially to assess the effectiveness of such tactics in order to solve this issue. Also provided in support of the current study are numerical examples.

Proposed Mechanisms For Enhancing Social Capital Management In Arab Universities, Ashraf M. A. Mahmoud, Amjad M. Daradkah, Turki K. Alotaibi, Buthiana E. Awais, Rabha A. Alqudah, Maha I. Al- Momani

Journal of Statistics Applications & Probability

The paper develops proposed mechanisms to enhance social capital management in Arab universities. The descriptive approach is used to achieve the research objectives. The research sample consists of 611 faculty members from Arab universities randomly selected to answer the questionnaire on the reality of social capital in Arab universities. The research instrument consists of two questionnaires consisting of 48 items to measure social capital management mechanisms in Arab universities. The findings indicate that the degree of reality of social capital in Arab universities is medium with a mean of (3.47). The results also show that their approval regarding the suggested …

Implications Of Ai Chatbots In Education: Challenges And Solution, W. Awad, J. Moosa

Journal of Statistics Applications & Probability

AI Chatbots are commonly used nowadays in different sectors such as real estate, marketing, healthcare, as well as education, in which both students and educators use these intelligent systems to gain personalized support and guidance to perform their tasks. Usage varies from solving assignments or setting the assignment questions, similarly, matters arising on whether these uses are acceptable, salutary, or ethical. In this research, a review of AI chatbots, and their ethical implications are presented, and a framework for better use of AI Chatbots in Educational Institutions is proposed in order to control the unethical use of it.

Renewable Energy And Economic Growth In Saudi Arabia: A Test Of Interrelationship, Saad I. A. Elkalawy, Abdullah S. Al Shammre, Nagwa A. A. Abdelkawy, Amani M. A. Mohammed, Maged A. Hassan, Abdelhameed A. Montash

Journal of Statistics Applications & Probability

In this paper, we examine the causal relationship between renewable energy and economic growth in Saudi Arabia from 1990 to 2021. Our hypothesis suggests a bidirectional causal link between economic growth and the adoption of renewable energy, emphasizing the significant impact of transitioning to renewables on Saudi Arabias economic growth. The findings indicate a unidirectional causal relationship in the short and long term, with real GDP influencing actual investment spending and the labor force influencing real GDP. Moreover, there is a unidirectional causal relationship between real GDP to renewable energy, suggesting that real GDP drives the development of renewable energy …

Analyzing The Impact Of Human Resources Competence And Work Motivation On Employee Performance: A Statistical Perspective, Z. T. Rony, I. M. S. Wijaya, D. Nababan, J. Julyanthry, M. Silalahi, L. M. Ganiem

Journal of Statistics Applications & Probability

HR competence is a factor that influences employee performance employees have HR competence and high work motivation hence performance good employees come true. The research method used in research field using a quantitative approach. Data analysis method used multiple regression model analysis. The results of research on test results partial results obtained by the t-count value for the HR competency variable (X1) level significant in the HR competency variable of 0.01 <0.05 means significant, while the value of t table is 2.017 t count > t table (2.652> 2.017), meaning that the variable HR competence has a significant and positive effect on employee performance, the results of the partial test on the variable work …

Proposed Vision For Enhancing Psychological Capital Management As A Gateway To Achieving Competitive Advantage In Arab Universities, Rabha Adnan Alqudah, Amjad Mahmoud Daradkah, Turki K. Alotaibi, Buthiana Elias Awais, Ahmed Abd_ Alkareem H. Al_ Ruheel, Maha I. Al-Momani

Journal of Statistics Applications & Probability

This paper develops proposed vision for enhancing psychological capital management as a gateway to achieving competitive advantage in Arab universities. The descriptive approach and prospective analysis approach are used to achieve the research objectives. The questionnaire is used as a research instrument. The research sample consists of (513) faculty members randomly selected and 199 experts selected using the stratified purposeful sampling method. The findings indicate that the overall mean of the reality of availability of psychological capital is (3.49) with a medium degree for all dimensions, as the highest dimension is resilience with (3.56) while the lowest dimension is hope …