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Articles 1291 - 1320 of 39340
Full-Text Articles in Entire DC Network
A Roadmap For The Integrative Hr Leadership Theory Of Intangible Competitive Advantage, Mostafa Sayyadi, Michael J. Provitera
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, …
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
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
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
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
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
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
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
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
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
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
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
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
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 …
Optimal Algorithm For Managing On-Campus Student Transportation, Youssef Harrath, Jood Alyusuf, Zeena Ghulam, Muna Aldoseri
Optimal Algorithm For Managing On-Campus Student Transportation, Youssef Harrath, Jood Alyusuf, Zeena Ghulam, Muna Aldoseri
Research & Publications
This study analyzed the transportation issues at the University of Bahrain Sakhir campus, where a bus system with an unorganized and fixed number of buses allocated each semester was in place. Data was collected through a survey, onsite observations, and student schedules to estimate the number of buses needed. The study was limited to students who require to move between buildings for academic purposes and not those who choose to ride buses for other reasons. An algorithm was designed to calculate the optimal number of buses for each time slot, and for each day. This solution could improve transportation efficiency, …
Beyond The Greenwash: Identifying Genuine Corporate Sustainability, Victoria Agbakwuru
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
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
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 …
The Learner's Experience Using Augmented Reality, Michael Lionel Atkinson
The Learner's Experience Using Augmented Reality, Michael Lionel Atkinson
Theses and Dissertations
Augmented reality (AR) is a promising learning tool that has the potential to improve learning experiences in unique ways. While AR has been extensively studied in terms of learning outcomes, relatively little has been researched about the qualitative aspect of the learner experience and how that may inform better instruction. This multi-article, journal-ready dissertation addresses this gap. The first article is a review of the literature on what researchers have learned about AR in learning, systematically identifying six areas that appear salient yet underrepresented in the literature. The second article expands further upon this theme by conducting a qualitative study …
Design(Ing) Disruptions: Towards Intimacies Between Feminist Situated Knowledge, Gossip And Design, Senjuti Sangia
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 …
Bilayer Asymmetric-Based Metal-Organic Frameworks Membrane For Blue Energy Conversion, Rockson Kwesi Tonnah, Milton Chai, Mohammad Khedri, Milad Razbin, Reza Maleki, Amir Razmjou, Mohsen Asadnia
Bilayer Asymmetric-Based Metal-Organic Frameworks Membrane For Blue Energy Conversion, Rockson Kwesi Tonnah, Milton Chai, Mohammad Khedri, Milad Razbin, Reza Maleki, Amir Razmjou, Mohsen Asadnia
Research outputs 2022 to 2026
The conversion of Gibbs free energy at the interface of solutions with salinity gradients into electrical energy is essentially a means of mitigating environmental pollution and bolstering the availability of new energy sources to enhance the renewable energy portfolio. However, a three-dimensional (3D) sub-nanofluidic membrane with high ion conductivity and selectivity for a reverse electrodialysis (RED) based osmotic energy conversion in both aqueous and organic solutions remains largely unexplored. Herein, we engineered a bilayer metal organic frameworks (MOFs) membrane with polystyrene sulfonated angstrom-size channels in UiO-66-NH2 base layer and isoreticular MIL-88B membrane as the top layer to enhance permselectivity and …
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
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
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 …
Hellenic Cohesion: A Historic Approach To Transnationalism, Particularism, And Cosmopolitanism In The Greek Immigrant Communities Of Wyoming, Patrick Michael Pace
Hellenic Cohesion: A Historic Approach To Transnationalism, Particularism, And Cosmopolitanism In The Greek Immigrant Communities Of Wyoming, Patrick Michael Pace
Doctoral Dissertations and Projects
Greek immigration to the United States began slowly in the late nineteenth century but found its stride by the second decade of the twentieth century. Behind the incrementally increasing numbers of Greeks emigrating from Greece was an economic collapse related to a mismanaged agricultural industry, leading mostly young men to pursue economic reward abroad in support of families and villages back home. Most early Greek migrants anticipated an eventual return home; however, many moved beyond simple sojourning into permanent settlement for a variety of reasons, including the establishment of proprietorships, the building of families, and nativist driven anti-immigrant legislation. For …
Readiness For Interprofessional Teamwork Of Graduate Public Health Students At The Time Of Their Graduation, Liliana Morosanu
Readiness For Interprofessional Teamwork Of Graduate Public Health Students At The Time Of Their Graduation, Liliana Morosanu
Doctoral Dissertations and Projects
The purpose of this applied study was to solve the problem of lacking empirical evidence for the contribution of interprofessional education (IPE) towards readiness for teamwork interprofessional practice (T-IPP) of Master of Public Health (MPH) graduates, and to design an IPE evaluation model in response. Current knowledge about T-IPP of MPH graduates is insufficient yet critical for professional practice. It is unclear how academic IPE builds MPH students’ T-IPP skills, and whether other training sources exist. A cross-sectional multimethod design was implemented with a sample of 58 MPH graduates from accredited programs within 12 months from graduation, of whom 12 …
Identifying Higher Education Employee Experiences Using A Diffusion Of Innovations Checklist Planning For Knowledge Management Implementation: A Phenomenological Study, Eric Christopher Viets
Identifying Higher Education Employee Experiences Using A Diffusion Of Innovations Checklist Planning For Knowledge Management Implementation: A Phenomenological Study, Eric Christopher Viets
Doctoral Dissertations and Projects
The purpose of this transcendental phenomenology study was to understand the experiences of higher education employees planning to implement knowledge management through utilizing a diffusion of innovations checklist. Knowledge management is generally defined as the process of creating, sharing, using, and managing the knowledge and information of an organization. The theory guiding this study was the diffusion of innovations by Everett M. Rogers, as it provided a clear and comprehensive model of the stages of change and knowledge management implementation. The research questions sought to understand the experiences of ten higher education employees utilizing the diffusion of innovations checklist within …
A Qualitative Study Of Emdr Clinician Treatment Modality Choice And Client Needs, Carole Petrides Bakke
A Qualitative Study Of Emdr Clinician Treatment Modality Choice And Client Needs, Carole Petrides Bakke
Doctoral Dissertations and Projects
The purpose of this transcendental phenomenological qualitative research study was to explore and understand the lived experiences of clinicians practicing eye movement desensitization and reprocessing (EMDR) in the state of Nebraska and their choice of treatment modality, between the audio, visual, and kinesthetic techniques of EMDR. As an evidenced-based treatment therapy, EMDR has been shown to decrease the symptoms of distress in clients with a history of trauma and the treatment of choice for clients with a diagnosis of PTSD. A qualitative approach was used to assess the possible connection between the EMDR techniques as factors in individual preferences and …
Effects Of Supply Chain Issues On It Digital Transformation In Fast Growing Louisiana Sme, John Estes
Effects Of Supply Chain Issues On It Digital Transformation In Fast Growing Louisiana Sme, John Estes
Doctoral Dissertations and Projects
COVID 19 lockdown restrictions hit the business world by surprise in 2020 resulting in various effects on businesses. Many businesses required their employees to work from home for weeks, months, or years at a time. This resulted in a push to digitization during a period the supply chains were also impacted by similar restrictions. Section one lays the groundwork for a single case study on the related effects to digital transformation on engineering services in a Louisiana SME. Section 2 covers the project, a single case study within a fast-growing engineering services business. The study findings answer four key questions …
A Quantitative Study Exploring How Depression Symptom Severity Moderates The Relationship Between Emotional Suppression And Workplace Performance In A Sample Of American Office Worker, Laura A. Duffy
Doctoral Dissertations and Projects
Major depressive disorder (MDD) is a heterogeneous disorder consisting of several subtypes, and both subthreshold depression and acute phase depression are associated with functional, occupational, and social impairments, even after remission. Studies suggest that depression symptom severity negatively affects a person’s health, work performance, and social functioning due to a person’s limited cognitive resources. In Western cultures, employers expect employees who have depression to use emotional regulation in the workplace, but these employees find that this uses cognitive resources to the extent that they are unable to do their work optimally and also fulfill their social functions in the workplace. …
The Impact Of State Investment In Cancer Research Capacity And Infrastructure: A Mixed Methods Study, Paul E. Hull
The Impact Of State Investment In Cancer Research Capacity And Infrastructure: A Mixed Methods Study, Paul E. Hull
Doctoral Dissertations and Projects
The aim of this mixed-methods study is to understand the fiscal and practical impact on a state’s biomedical research ecosystem when state policymakers decide to invest substantially in cancer research capacity and infrastructure. It posits that an investing state is more likely to realize a greater share of contract and grant dollars from the National Cancer Institute (NCI) for its researchers and cancer centers. The quantitative portion of the study, employing a multiple regression analysis of data from all 50 states, finds that investment in cancer research capacity and infrastructure does improve a given state’s relative share of NCI support, …