Digital Commons Network^™

Establishing A Secure Sharing Environment Using Partial Cryptographic Keys, Salmaan Rashid

Defensive Publications Series

A system for establishing a secure sharing environment using partial cryptographic keys. The proposed system uses a complete cryptographic key divided into multiple partial keys and provided to two or more participants. The participants attest each TEE of the secure sharing environment desired for use and send, to each TEE, their respective partial key. Each TEE combines the received partial keys to generate the complete cryptographic key. Using the complete cryptographic key, the TEEs can securely communicate and share data with each other.

Volume 41-1 Complete Issue, C. Nicholas Raphael

The Geographical Bulletin

Volume 41-1 Complete Issue

Drinking Water Issues And Management In The Republic Of The Philippines, William James Smith, Jr

The Geographical Bulletin

Major drinking water issues and management schemes in the Republic of the Philippines are examined utilizing a political geographic perspective. By examining these issues and management schemes, administrators in developing countries, such as the Philippines, can provide more effective drinking water management for their citizens. Effective drinking water management is an essential building block in the foundation of sustainable development. This type of socio-political and economic research demonstrates the importance of equity in "safe" drinking water distribution, and the value of watershedbased and integrated natural resource management. The importance of recognizing the provision of safe drinking water as a human …

Interview With Jim Fields, Coo (Pitt Ohio), Elizabeth Gingerich

The Journal of Values-Based Leadership

No abstract provided.

Book Review: Ai [Artificial Intelligence] Fundamentals For Business Leaders, Eya Mahouachi

The Journal of Values-Based Leadership

Artificial Intelligence Fundamentals for Business Leaders: Up to Date with Generative AI (Byte-sized Learning Book 1) is a recent book in a series of four on Artificial Intelligence. It is authored by I. Almeida, the Chief Transformation Officer at Now Next Later AI, an AI advisory, training, and publishing business that supports organizations with their AI strategy, transformation, and governance.

This book is organized around understanding AI, Data and Data Management, Machine Learning, Deep Learning, Model Selection and Evaluation, and Generative AI. The last chapter incorporates an assignment for leaders. This book employs an effective approach to help readers grasp …

How To Create A Mentoring Culture In An Organization, M. S. Rao

The Journal of Values-Based Leadership

The purpose of this paper is to provide basic inputs about the concept of mentoring to the readers. It touches on the role of mentoring in leadership and mentoring that is essential for entrepreneurs. It focuses on the myths and truths in mentoring. It suggests that there is more need to explore deeply about entrepreneurial mentoring. It helps look at the role of leaders in leadership mentoring. It stresses that there should be a blend of both inside and outside mentors to make the mentoring meaningful and fruitful. It may provide further scope for emerging areas in mentoring like lateral …

The Association Of Leadership Styles With Psychosocial Safety Climate: The Case Of Authentic Leadership, Eugene Laloo, Robyn Coman, Natalia K. Hanley

The Journal of Values-Based Leadership

Psychosocial safety climate (PSC) is an organisation-level construct that measures an organisation’s commitment to the prevention of psychological harm in the workplace and has been identified as a lead indicator for psychological hazards. A key factor in PSC is senior leaders’ involvement through the establishment of policies, procedures, and practices for the prevention of psychological harm in the workplace. While leadership has been identified as an antecedent for a favourable PSC, the impact of different leadership styles on PSC has not been extensively studied.

This article reports a multivariate study of five contemporary leadership styles and their impact on PSC. …

The Leadership Identity Presented On Linkedin, Carl L. Tolbert

The Journal of Values-Based Leadership

LinkedIn has evolved in a way similar to other social media platforms but is unique in that it focuses on professional networking and careers. Many professionals seek to showcase their leadership skills and philosophies as part of a publicly showcased online persona. This paper aimed to examine the posts specific to leadership and thematically investigate presentation strategies, motivation, and purposes behind the posts. The paper begins with a historical review from the inception of LinkedIn through pivotal milestones in the history of the company. Key concepts from the literature are then reviewed specific to social media use and motivations behind …

Kitkats And Boiling Kettles: Understanding Reciprocal Relationships In The Workplace, Gavin Mason, Garry Nicholson

The Journal of Values-Based Leadership

Often referred to as a law, principle, norm or rule, reciprocity can be defined as a state or condition of free interchange or mutual responsiveness. This paper considers the importance of reciprocity in organisational settings, whilst identifying three reciprocal exchange behaviours of which leaders should be aware. A Socratic dialogue using the Nelson/Heckmann approach is adopted as a research method, with the primary methodological concern being that of the axiological field of philosophy. Axiology deals with the nature of value and asks what is intrinsically worthwhile. This can lead to multiple questions about what we value in an organisational context. …

Rethinking Leadership Roles In A Future With Dei, Mostafa Sayyadi, Michael J. Provitera

The Journal of Values-Based Leadership

No abstract provided.

A Roadmap For The Integrative Hr Leadership Theory Of Intangible Competitive Advantage, Mostafa Sayyadi, Michael J. Provitera

The Journal of Values-Based Leadership

Building a dynamic and values-based company is more about the intangible elements of the organization than the financial balance sheet. The capabilities of organizations far exceed profitability potential. People, teams, and structure are the true drivers of success. The aim of this article is to present an intergrade HR leadership theory to effectively shed light on the intangible assets of organizations that far succeed the technical and financial components. In this article, it is assumed that the emergence of dynamic capabilities depends on the intellectual foundations formed in the company, and these foundations can be included in three levels: individual, …

Winter/Spring 2025

The Journal of Values-Based Leadership

No abstract provided.

比较机器学习的不同R 包：一项在公开数据集中的应用研究, Daniel O. Oyeniran, 曾 晴

Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊

机器学习已经成为包括教育领域在内的诸多领域中不可或缺的用于预测的方法。Python 和 R 是机器学习的主流编程工具。为了更好地进行机器学习分析，研究人员开发了功能各异的 R 包。本文探讨了 R 语言中两个主要的机器学习程序包在估计指标方面的功能性与经验性差异。这项比较研究为研究者高效使用R 包提供了综合指导，既能促进科学决策，又能帮助研究者在数据驱动型的研究和实践应用中采用有效的方法。本研究的发现确保研究人员在选择 R 包时做出明智决策，并理解替代方案，同时为实践者降低了算法应用的技术门槛。

Comparison Of Machine Learning Packages In R: An Application With Open Dataset, Daniel O. Oyeniran

Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊

Machine learning has become a prominent approach for prediction in many fields of endeavor, including education. Python and R have become leading software while different packages have been developed for the purpose of carrying out machine learning analysis with differences in functions in R. This paper explored the functional and empirical differences of two major machine learning packages in R to estimate metrics. This comparative study provides a comprehensive guide for leveraging machine learning packages in R, facilitating informed decision-making, and advancing the adoption of effective methodologies in data-driven research and application. Findings in this study ensure that researchers make …

Automated Text Scoring In The Age Of Generative Ai For The Gpu-Poor, Chris M. Ormerod, Alexander Kwako

Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊

Abstract Current research on generative language models (GLMs) for automated text scoring (ATS) has focused almost exclusively on querying proprietary models via Application Programming Interfaces (APIs). Yet such practices raise issues around transparency and security, and these methods offer little in the way of efficiency or customizability. With the recent proliferation of smaller, open-source models, there is the option to explore GLMs with computers equipped with modest, consumer-grade hardware—that is, for the “GPU poor.” In this study, we analyze the performance and efficiency of open-source, small-scale GLMs for ATS. Results show that GLMs can be fine-tuned to achieve adequate, though …

The Rise Of Artificial Intelligence In Educational Measurement: Opportunities And Ethical Challenges, Okan Bulut, Maggie Beiting-Parrish, Jodi M. Casabianca, Sharon C. Slater, Hong Jiao, Dan Song, Christopher Ormerod, Deborah Gbemisola Fabiyi, Rodica Ivan, Cole Walsh, Oscar Rios, Joshua Wilson, Seyma N. Yildirim-Erbasli, Tarid Wongvorachan, Joyce Xinle Liu, Bin Tan, Polina Morilova

Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊

The integration of artificial intelligence (AI) in educational measurement has transformed assessment methods, allowing for automated scoring, swift content analysis, and personalized feedback through machine learning and natural language processing. These advancements provide valuable insights into student performance while also enhancing the overall assessment experience. However, the implementation of AI in education also raises significant ethical concerns regarding validity, reliability, transparency, fairness, and equity. Issues such as algorithmic bias and the opacity of AI decision-making processes risk perpetuating inequalities and affecting assessment outcomes. In response, various stakeholders, including educators, policymakers, and testing organizations, have developed guidelines to ensure the ethical …

Development, Validation, And Reliability Of A New Instrument Of Observation And Technical Evaluation In Karate Athletes, Filipe Ferreira, Rui Miguel Silva, Georgian Badicu, Jarosław Muracki, Bartłomiej Bogdański, Adam Kawczyński

Baltic Journal of Health and Physical Activity

The present study aims to develop and establish the reliability of the System for the Technical Assessment of Kumite (STAK) in karate. Twenty karate fighters aged between 10 and 22 years, consisting of novice and expert athletes participated in the present study. The reliability process focused on three points: i) analysis and evaluation by experts of the content of the observation instrument; ii) analysis and evaluation by expert evaluators of the athletes' performance in each of the chosen techniques; and iii) reliability of the evaluators' observations. The technical evaluation system in karate evaluated the Mawashi Geri, Ura Mawashi Geri, Kizami …

Protection Of Trade Secrets In Global Markets And International Business: Implications For Labor Relations, Oleg M. Yaroshenko, Oleksii Tykhonovych, Yaroslav Kostohryz, Yuliia Ivchuk, Dmytro Sirokha

Markets, Globalization & Development Review

Against the background of globalization and the constant evolution of economic relations, the protection of trade secrets in labor relations becomes a necessity to ensure the sustainable competitiveness of enterprises in the international market. This article analyzes the multifaceted dimensions of trade secret protection, covering global business strategies, intercultural labor practices, international economic relations, and public policy fundamentals. Through the analysis of international agreements such as the TRIPS Agreement and the European Union Directive on Non-Competition Provisions, the article explores how various legal systems address trade secrets in labor relations, emphasizing the need for global harmonization. It also considers cultural …

Potential Impact Of Artificial Intelligence On Small And Medium Enterprises Innovation In The Eu: A Perspective From Poland, Malgorzata Wilczynska, Alina Walenia, Artur Dabek, Daniel Salabura, Halina Kot

Markets, Globalization & Development Review

The development of small and medium-sized enterprises is a complex process that requires the use of all approaches to achieve success. In this regard, finding opportunities to use artificial intelligence in such companies is of great importance. The study aims to assess how this technology affects the innovation and financial performance of small and medium-sized enterprises. To draw the main conclusions, the implementation of artificial intelligence at Polish enterprises, including in the context of their financial performance, namely the level of return on assets and the level of debt, was analysed. The study showed that the introduction of artificial intelligence …

State V. Farnham: The Defendant's Exercise Of The Right To Stand Trial As Negative Character Evidence, Richard F. Buckley

Maine Law Review

A defendant in a criminal case may not receive a more severe sentence because he exercised his sixth amendment right to stand trial. However, determining when a court has more severely sentenced a defendant for exercising his constitutional right to a jury trial is a difficult task. Some argue that a defendant's choice to stand trial is relevant to the sentencing process as character evidence. The decision to stand trial, the argument goes, indicates a defendant's lack of remorse and an unwillingness to take the first step toward redemption by admitting his guilt. Others take the position that consideration in …

The Implications Of Jack Kerouac’S Modern Flâneur In On The Road, Jane Valente

Rushton Journal of Undergraduate Humanities Research

­­­­Post-World War II society became increasingly reliant on automobiles as the primary mode of transportation in the United States, fostering conditions that gave birth to a modern reconceptualization of the flâneur. Jack Kerouac’s On the Road serves as a reference for character analysis, continuing and revising the Parisian origins of the concept. Drawing from literary works such as Virginia Woolf’s Street Haunting and Sherman Young’s essay “Morphings and Ur-Forms,” this essay argues that the protagonist of On the Road, Sal Paradise, embodies a uniquely American flâneur.

Exfoliated Hydrotalcite-Transition Metal Complex Composite For Eco-Friendly And Efficient Catalytic Degradation Of 4-Nitrophenol, Sidra Khan, Najma Memon, Saima Q. Memon, Yilmaz Yurekli

Karbala International Journal of Modern Science

Nitrophenols are notorious aquatic organic contaminants found as degradation products of various parent compounds, including pesticides and industrial chemicals that persist in the environment and must be removed. Catalytic degradation is one of the feasible routes to clean the contaminated water systems, however, environmental contamination with catalysts is also widespread. Herein, we report an environmentally friendly catalyst based on composited Fe-Schiff’s base with exfoliated layered double hydroxides (LDH) of aluminum and nickel (hydrotalcite). The composite showed agglomerated pleated LDH structures sheathed with Fe(III)SB. Nitrogen adsorption isotherm data exhibited improved surface area and narrow pores patterns for composite as compared to …

Automated Regression Testing Framework For Large Language Models, Claudio Criscione, Sebastian Lekies

Defensive Publications Series

This disclosure describes a system for automated regression testing of large language models (LLMs). LLMs can be trained or fine-tuned with safety-oriented data and similar techniques to prevent undesirable outputs. However, additional training and fine-tuning can result in an LLM regressing and producing undesirable outputs. These regressions can be difficult to detect and track given the fast pace of research and development in this field. This system provides automated infrastructure and techniques for testing new versions of LLMs for regression against stored tests. The system includes integrator modules that provide a uniform testing interface for various types of LLMs and …

Defined-Trust Transport Protocol For Limited Domains, Kathleen Nichols

Defensive Publications Series

The Defined-trust Transport (DeftT) is designed to provide secure, default-deny networking for closed communities with dynamic membership and a collection-based construct that is efficient on broadcast media. Such closed communities, also known as limited domains [LDCCR], are frequently used in Operational Technology (OT) networking, in particular , in Critical Infrastructure uses. DeftT is designed to express and enforce application- and deployment-specific integrity, authentication, access control and behavior constraints directly in its protocol modules. It enables secure and completely self-contained (e.g., no external identity servers or certificate authorities) overlay networks where credentialed members can join and leave at any time. Security …

Beyond The Greenwash: Identifying Genuine Corporate Sustainability, Victoria Agbakwuru

Lincoln Memorial University Law Review Archive

As sustainability becomes a critical factor in corporate strategy and consumer decision-making, the rise of greenwashing—where companies exaggerate or falsify environmental claims—poses a significant challenge. This article delves into the legal landscape of greenwashing in the United States and the European Union. It considers regulations specifically tailored to combating greenwashing and encouraging sustainability in those regions. Genuine sustainability practices that companies can engage in are identified and recommended. These include embracing ESG reporting, truth in advertising, transparency, certification and compliance, consistency, and accountability.

Highly Porous Nanocarriers For Osmolyte Delivery And Drought Mitigation In Wheat And Ryegrass, David Britt

Funded Research Records

No abstract provided.

Stress Testing Deep Learning Models For Prostate Cancer Detection On Biopsies And Surgical Specimens, Brennan T. Flannery, Anant Madabhushi

Faculty Scholarship

The presence, location, and extent of prostate cancer is assessed by pathologists using H&E-stained tissue slides. Machine learning approaches can accomplish these tasks for both biopsies and radical prostatectomies. Deep learning approaches using convolutional neural networks (CNNs) have been shown to identify cancer in pathologic slides, some securing regulatory approval for clinical use. However, differences in sample processing can subtly alter the morphology between sample types, making it unclear whether deep learning algorithms will consistently work on both types of slide images. Our goal was to investigate whether morphological differences between sample types affected the performance of biopsy-trained cancer detection …

Design(Ing) Disruptions: Towards Intimacies Between Feminist Situated Knowledge, Gossip And Design, Senjuti Sangia

Masters Theses

This project highlights and problematizes the knowledge traditions and politics foundational to problem-solving paradigms in design education and practice. By emphasising the ontological nature and turn in design (Willis, 2006, Fry, 2012) , this thesis critically appraises the aforesaid formulations by extending intersectional feminist theories to dominant design epistemology. Drawing on the sociological framing of the matrix of domination, I investigate the dichotomy of the designer and user- as designers, users, and communities find themselves at different junctions in the matrix of domination. Further, I critique design frameworks from the analytical lenses of feminist situated knowledge, In so doing, I …

Assessing Spatial Distribution And Quantification Of Native Trees In Saskatchewan's Prairie Landscape Using Remote Sensing Techniques, Elham Shafeian, Bryan J. Mood, Kenneth W. Belcher, Colin P. Laroque

Aspen Bibliography

The importance of trees in non-forest landscapes has been the focus of only a few studies. However, these trees provide many important ecosystem services. In this study, we mapped and quantified these trees using Sentinel-2 (S2) and very high-resolution (VHR) Google satellite imagery without any field campaigns. We performed a Random Forest (RF) classification to map the spatial distribution of native trees in different scenarios. The optimal model showed an overall accuracy and kappa of 0.99 and 0.98, respectively. We mapped 40,500 km² of tree cover, including native tree cover (approximately 29,565 km²≈10.5%), excluding plantations, regional and …

Enhancing Cybersecurity Strategies Through Automated Cti Extraction, Risk Prioritization, And Privacy-Conscious Information Sharing, Spencer Rian Massengale

Theses and Dissertations

Cybersecurity operations require the ability to collect and analyze large amounts of cyber threat intelligence (CTI) to assess risks and formulate defensive strategies against emerging threats. This task has become increasingly complex due to the rapid evolution of cyber threats and the growing volume of unstructured, natural-language CTI sources. The scale of data and analysis needed to utilize CTI effectively far exceeds humans' manual capacity, especially for organizations with limited resources. This research focuses on leveraging Large Language Models (LLMs) and machine learning techniques to enhance CTI extraction, risk assessment, and data sharing. We utilized LLMs to automate the extraction …