Digital Commons Network^™

Affirming Spaces For Reflection, Olivia J. Chu

Teaching and Learning Together in Higher Education

No abstract provided.

Note-Taking That Supports Faculty And Deepens My Own Learning, Gianna Familetti

Teaching and Learning Together in Higher Education

No abstract provided.

Note-Taking As Student Experience: Insights From An Asynchronous Writing Course, Anayat Yousuf

Teaching and Learning Together in Higher Education

No abstract provided.

On Experiments In Visual Note-Taking For Laboratory Observations, Alan Declerck

Teaching and Learning Together in Higher Education

No abstract provided.

Becoming Mindful Of My Positionality And Perspective, Julie Edelstein

Teaching and Learning Together in Higher Education

No abstract provided.

A Multi-Step Process For Taking Notes And Offering Recommendations, Gongyu (Crystal) Yang

Teaching and Learning Together in Higher Education

No abstract provided.

Becoming A More Intentional Observer, Jodi-Anne Reid

Teaching and Learning Together in Higher Education

No abstract provided.

More Than Notes: Building Dialogue Through Classroom Observations, Kal Holder

Teaching and Learning Together in Higher Education

No abstract provided.

Taking Note Of Note-Taking And Note-Reading Experiences: Student And Faculty Partners’ Reflections On Observations In Classroom-Based Pedagogical Partnerships, Alison Cook-Sather

Teaching and Learning Together in Higher Education

No abstract provided.

Agro-Ecotourism In Ciputri Village: Evaluating Potentials And Strategies For Sustainable Tourism Development, Inanditya W. Putri, Hafid Setiadi

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Sustainable rural tourism development requires integrated planning that balances environmental conservation, community participation, and local economic growth. Agro-ecotourism has emerged as an important approach to support village-based tourism development in environmentally sensitive areas. Ciputri Village in Cianjur Regency has been designated as a tourism village and possesses considerable agro-based and ecological potential. However, tourism development remains suboptimal due to limited public awareness, low visitor numbers, and fragmented strategic planning. This study aims to assess agro-ecotourism potential and to formulate priority development strategies. An integrated approach combining Participatory Geographic Information Systems (P-GIS), SWOT-based EFAS/IFAS analysis, and the Analytic Hierarchy Process (AHP) …

Technology, Leadership, And Sustainability In The Post-Crisis Economy: Evidence From Lebanese Organizations, Dania Abbass, Habib Badawi

Arab Economic and Business Journal

This study examines how artificial intelligence integration, transformational leadership, and sustainability practices collectively influence organizational resilience and performance in crisis-affected Arab economies, with a focus on Lebanese organizations navigating compound disruptions. Using a convergent mixed-methods design, quantitative data were collected from 487 managers and employees across Lebanese organizations and comparative international samples in the education, finance, NGO, and tourism sectors, complemented by 32 semi-structured interviews. Results demonstrate that AI integration, transformational leadership, and sustainability practices significantly enhance organizational resilience and performance, with emotional intelligence and affective commitment serving as critical mediators. Organizations combining high implementation across all three dimensions achieved …

Interpretable Linear Models For Heart Disease Prediction: A Comparative Study, Dipok Deb, Emran Hossain

Data Science and Data Mining

Heart disease remains a leading cause of mortality worldwide, underscoring the importance of accurate and transparent methods for early diagnosis. While many machine learning and artificial intelligence models have demonstrated strong predictive performance, their limited interpretability poses challenges for clinical adoption. In this study, we evaluate three interpretable linear classification models—Generalized Linear Model (GLM) logistic regression, L1-regularized (Lasso) logistic regression, and Linear Discriminant Analysis (LDA)—for heart disease prediction using the Cleveland Heart Disease dataset. Following comprehensive data preprocessing, the models are assessed on a held-out test set using standard evaluation metrics, including accuracy, precision, recall, F1-score, and the area under …

Layout-Aware Text Extraction Using Heuristic Segmentation And Llm-Based Refinement, Leonid Kuligin

Defensive Publications Series

Automated text extraction from paginated documents, such as portable document format (PDF) files, can be problematic when layout-agnostic parsers capture non-essential content like headers and footers, which can introduce noise and degrade data quality for downstream applications. A described technique may address this through a multi-stage workflow that combines heuristic analysis with large language models (LLMs). For example, a process can begin with a heuristic segmentation stage to identify potential header, footer, and main content regions based on layout cues, such as text position and font size. This initial segmentation may then be provided as a structured hint to a …

System For Jurisdictional Mapping And Dynamic Routing Of Cloud Api Requests, Johannes Start, John Lunney

Defensive Publications Series

Cloud agents interacting with third-party services via generic application programming interface (API) endpoints should adhere to data residency requirements. A system may intercept outbound API requests to help manage data sovereignty policies. The system can use a hierarchical region-to-jurisdiction map and a service capability matrix to determine a request's source jurisdiction and identify compliant endpoints for the destination service. If a compliant endpoint is available, the system can dynamically rewrite the request to target that endpoint. If no compliant endpoint is found, the request can be blocked. This technique may facilitate the enforcement of jurisdictional data processing rules by decoupling …

Geographically Constrained Ai Agent Execution Via Signed Policy Tokens, Johannes Start, John Lunney

Defensive Publications Series

Systems for managing data sovereignty can present challenges in governing autonomous artificial intelligence agents, particularly regarding downstream network calls that agents may generate dynamically. This situation can introduce data residency compliance challenges. A described system can attach a portable, cryptographically signed policy token to a data processing request. This token, which may be derived from a residency profile, can specify a geographical or jurisdictional boundary for data processing. Enforcement middleware within an execution environment, such as a cloud computing platform or a containerized environment, can intercept an agent’s outbound network calls and check the destination against the policy contained within …

Orchestrating Agent Failover Using A Relationship Tree With Defined Dependency Types, Gaurav Sangamnerkar, Himesh Mukherjee

Defensive Publications Series

In distributed computing environments with multiple interacting agents, interdependencies can contribute to localized agent failures escalating into system-wide outages, as some protocols may not adequately define dependency-based failover strategies. A control plane framework can manage such interdependencies by employing an agent relationship tree (ART). The ART can be a data structure that maps the relationships between agents and annotates each with a dependency type, for example, solid for dependencies designated as strongrelationship or fluid for those with lower importance. An agent orchestrator can monitor agent health and, upon detecting a failure, can consult the ART to initiate a context-aware recovery …

Downhole Tools Thermal Shield

Defensive Publications Series

Measurement and Logging While Drilling (M/LWD) tools encounter significant challenges when drilling in high-temperature (HT) oil and gas or geothermal wells. These extreme environments can cause downhole tools to fail and sensors to drift, leading to inaccurate readings and compromising the safety and efficiency of drilling operations. Sensitive electronic components, such as sensors, wiring, and circuit boards, are designed to operate within specific temperature ranges, and prolonged exposure to elevated temperatures can result in malfunction or reduced lifespan.

Secure Decommissioning Of Cloud Resources, Pardha Saradhi Mavilla

Defensive Publications Series

Soft deletion is a feature in cloud computing that provides a safety net against accidental deletions using a predefined grace period within which the cloud resource is recoverable. However, soft deletion creates new operational bottlenecks for users who intended to permanently delete their resources, e.g., continued resource occupation by soft-deleted clouds, inhibited redeployment of resources, etc. This disclosure describes techniques for secure soft deletion of cloud resources in a manner that fulfills operational, security, and user experience requirements such as accelerated decommissioning, visibility into the state of decommissioning, and deterministic rollback of decommissioning. A robust, end-to-end, orchestrated procedure balances resource …

Dynamic Antenna Configuration For Ntn Links Via Predictive Look-Up Table Search, Ali Molaei, Kasra Ghaemi, Gregory Black

Defensive Publications Series

Establishing communication links between mobile terminals, such as smartphones or vehicle communication systems, and non-terrestrial networks (NTNs), for instance, low earth orbit satellite constellations, can be impacted by frequent variations in signal characteristics as satellites move. If a static antenna configuration on a mobile device does not adapt to this dynamic signal environment, link degradation may result. A system for dynamic antenna configuration can use a pre-calculated look-up table (LUT) that maps various satellite positions and signal properties to corresponding antenna tune states. During operation, a predictive algorithm on the terminal can use real-time signal strength measurements and the LUT …

Current Sharing Method For Digital Voltage-Mode Power Converters, Na

Defensive Publications Series

The technology described in this paper relates to a current sharing method for digital voltage-mode power converters connected in parallel. Specifically, the disclosed technology introduces a current sharing loop that calculates the discrepancy between the local output current and the average current of the power stages and adjusts the voltage loop integrator value based on this error. By modifying the integrator state directly, the system enables immediate duty cycle correction without increasing the control system’s order. This approach achieves rapid and stable current sharing within the switching period while maintaining high voltage regulation accuracy without the need for traditional droop …

Technical Evaluation Of The Interactive Digital Vinyl System (Idvs), Christoph Fussgänger

Defensive Publications Series

This technical evaluation presents the Interactive Digital Vinyl System (IDVS) and the IDVS+, a sensor-based Digital Vinyl System (DVS) control vinyl that adds a rotating touchscreen interface for direct, on-deck control of DJ and music software.

The IDVS+ is a 12-inch, battery-powered device that operates without a stylus, continuously measures its own rotation via internal motion sensors, and transmits motion data wirelessly to a connected computer, DJ player, or smartphone, where the audio is generated and played back. In addition to standard DVS behavior (speed control, forward and reverse movement, and scratching), the IDVS+ introduces a high-resolution touchscreen surface capable …

Framework For Situated Agents Using Tool-Based Perception And Interaction In A Continuous Cognitive Loop, Valentyn Shybanov

Defensive Publications Series

Agentic systems that operate in a transactional or stateless mode can be limited in their ability to perform sustained, multi-step tasks within dynamic digital environments. Such systems may exhibit brittleness, where tool execution failures may lead to a process halting rather than initiating an adaptive recovery. The disclosed technology describes a framework for autonomous agents centered on a continuous perception-cognition-interaction loop. Within this framework, an agent can utilize programmatic tools as sensory inputs to perceive the state of a digital environment and as actuators to effect change, while a cognition layer can process these perceptions to formulate actions. This cyclical …

Characteristics Of One Escherichia Coli Strain Isolated From The Sick Red Panda Excreting Mucus-Like Faeces, Dongjie Cai, Lanjing Ma, Xingxin Fu, Bin Tian, David Ranucci

The Thai Journal of Veterinary Medicine

The purpose of this study is to explore the main pathogens that caused one red panda to excrete mucus-containing faeces continuously. The anal swabs of sick red panda were collected for bacterial isolation, biochemical analysis, 16SrRNA sequencing identification, antimicrobial susceptibility testing, and research on pathogenicity in Mice. An Escherichia coli (E. coli) strain was isolated and determined. This strain was resistant to ampicillin, penicillin G, ceftiofur, and highly sensitive to levofloxacin, imipenem, azithromycin, kanamycin, and compound sulfamethoxazole. All mice died within 8-14 hours after injected intraperitoneally with 6×10⁸ CFU/mL E. coli. Histopathology showed that the lungs, …

Evaluation Of Agreement Between Point-Of-Care And Blood Gas Analyzers For Lactate Measurement In Critically Ill Dogs, Pemika Bunrueang, Parnkaew Wannamala, Wipa Sripodok, Manisin Vanichwatanaramlouk, Kittiya Simphaisarn, Vachira Hunprasit, Chutirat Torsahakul

The Thai Journal of Veterinary Medicine

This study aimed to evaluate the analytical agreement between a handheld point-of-care (POC) lactate meter (StatStrip Xpress^®2 Lac/Hb/Hct, Nova Biomedical) and a standard blood gas analyzer (Stat Profile Prime Plus^® VET, Nova Biomedical) for measuring plasma lactate concentrations in critically ill dogs. Fifty-seven client-owned dogs were admitted to the Emergency Unit and Critical Care Unit (CCU) of the Small Animal Hospital, Chulalongkorn University, enrolled. Blood samples were analyzed using both a handheld POC meter and a blood gas analyzer. To evaluate analytical agreement across a wide concentration range, data were categorized into low (1–4 mmol/L; n = …

Understanding Gender Differences In Academic Achievement Among Engineering Students, Luai Al Labadi, Mohammad Saleh Bataineh, Lim Kyuson, Nida Siddiqui

International Journal for Research in Education

In recent years, a noticeable shift has occurred in academic performance, with females consistently outperforming males in mathematical engineering courses. To investigate the factors contributing to this trend, we conducted a comprehensive survey at a main university in UAE. Analyzing data from 431 engineering students, we found that the time spent studying outside the classroom plays a pivotal role, evidenced by a statistically significant p-value of 0.04, contributing to the gender-based performance disparity. Building upon these findings, we propose short-term solutions that instructors and universities can implement promptly to address this issue. This study underscores the importance of ongoing institution-level, …

The Relationship Between Academic Burnout, Passion, Emotional Regulation And Self-Compassion: A Structural Equation Modeling Study, Afaf S. Almohammadi

International Journal for Research in Education

This study aims to investigate the relationship between academic burnout, passion, self-compassion, and emotional regulation using a structural equation model. A total of 630 female postgraduate students participated and completed measures of academic burnout, passion, self-compassion, and emotional regulation scales. The results showed that academic burnout had a significant negative effect on both harmonious and obsessive passion, as well as self-compassion. However, burnout did not significantly affect the two dimensions of emotional regulation (cognitive reappraisal and expressive suppression). Self-compassion played a mediating role between burnout and obsessive passion. Emotional regulation dimensions did not play a mediating role between burnout and …

Concurrent And Longitudinal Predictions Of Math Anxiety, Science Anxiety, And Enrollment In Science And Art Tracks In Secondary Education, Ahmed Megreya, Ahmed Al-Emadi

International Journal for Research in Education

The worldwide need for STEM (Science, Technology, Engineering, and Mathematics) expertise highlights the critical importance of examining education-related emotions that shape students’ educational pathways and career decisions. Using a sample of tenth-grade students from Qatari schools (N = 391) and a follow-up sample in eleventh grade (N = 350), after their enrollment in either the art or science track, the present study examined the concurrent and longitudinal predictions of math anxiety, science anxiety, and track enrollments in secondary education. The science track attracted a larger number of male students, whereas the art track drew a higher proportion of female students. …

Illusory Competence Inflation As A Mediating Variable In The Relationship Between Cognitive Dependence On Generative Artificial Intelligence And Intellectual Identity Distortion Among Postgraduate Students In Saudi Universities (A Mixed-Methods Study), Mogeda El Sayed El Keshky Prof

International Journal for Research in Education

The present study aimed to examine the relationship between cognitive dependence on generative artificial intelligence (GenAI) and intellectual identity distortion among postgraduate students in Saudi universities, while testing the mediating role of illusory competence inflation. A mixed-methods design was employed. Three scales developed and psychometrically validated by the researcher were administered to a sample of 393 students. In addition, semi-structured interviews were conducted with 11 participants to explore their patterns of smart-tool use and self-perceptions. The qualitative data derived from these interviews were analyzed using a thematic analysis approach. The findings indicated a low level of cognitive dependence on GenAI …

Forecasting Success Rates In The 2025-2030 High School Exam In Jordan Using Time Series Analysis, Haidar Ibrahim Zaza

International Journal for Research in Education

This study applied the ARIMA (1,1,2) model to develop a predictive framework for general success rates of General Secondary Education Certificate students in Jordan, based on annual data from 2005 to 2024 (n = 20). Using the Box–Jenkins time series analysis methodology—including model identification, parameter estimation, diagnostic checking, and forecasting—the ARIMA (1,1,2) specification was identified as the best fit according to the Akaike Information Criterion (AIC) and the Hannan–Quinn Criterion (HQ). All model parameters were statistically significant, and the model passed key accuracy diagnostics. Forecasts for the years 2025 through 2030 indicate a projected increase in success rates, ranging between …

Attitudes Of English Language Trainers At Technical Colleges In Saudi Arabia Towards Using Artificial Intelligence Applications In Teaching, Khalid Mohammad Alhomidhi

International Journal for Research in Education

The research aimed to identify the attitudes of English language trainers in Saudi technical colleges towards the use of artificial intelligence (AI) applications in teaching, considering certain variables. The sample included 140 male and female trainers. A descriptive approach was used, and an attitude scale of 43 items across five dimensions was developed and validated. Results showed that the dimensions of acceptance, interest, and curriculum compatibility with AI applications were rated as “strongly agree” with a very high degree. Meanwhile, the dimensions of evaluation of AI use in teaching and availability of AI tools, training, and support were …