Digital Commons Network^™

The Intricate Dance Of Emotions And Psychophysiology: Unveiling The Secrets Of Microexpressions, Jaiteg Singh, Deepika Sharma, Babar Shah, Sukhjit Singh Sehra, Farman Ali, Irfan Hussain

All Works

Background: Emotion recognition plays a pivotal role in behavioral analysis, mental health assessment, and human-computer interaction. Micro-expressions, which are brief and involuntary facial movements, offer valuable insights into concealed emotions. However, validating micro-expressions remains a challenge due to their subtlety and short duration. This study aims to enhance the validation and classification of micro-expressions by integrating electromyogram (EMG) signals with facial action units (AUs). Methods: EMG data was collected using the EMG Muscle Sensor Module V3.0, interfaced with an Arduino Mega 2560 microcontroller. To ensure signal clarity, various data filtration techniques were applied to eliminate noise, motion artifacts, and baseline …

An Efficient Approximation To The Vibrational Coupled Cluster Method For Large Molecules, Nivedhitha P Ms

Theses and Dissertations

The Watson Hamiltonian is a widely used model for describing anharmonic vibrational motion in polyatomic molecules. It expresses the kinetic energy in separable dimensionless normal coordinates and represents the potential energy as a Taylor series expansion around the equilibrium geometry, usually up to the quartic approximation. Several computational methods have been developed to solve the corresponding vibrational Schrödinger equation for predicting infrared (IR), Raman, and vibrational circular dichroism (VCD) spectra. These include the Vibrational Self-Consistent Field (VSCF) method, Vibrational Configuration Interaction (VCI) and its approximations, and Vibrational Second-Order Perturbation Theory (VPT2), each providing different balances between computational cost and accuracy. …

Unequal Recovery: Climate Gentrification And The Marginalization Of Southern Urban Communities In Disaster Relief, Ryan Simone Anderson '26

Honor Scholar Theses

Increases in the severity and frequency of natural disasters in the United States have highlighted the vast inequalities that low-income communities must be prepared to face and rapidly recover from. In the Southern US, this dilemma is prevalent, with a higher risk of flooding, hurricanes, and tornadoes due to increased exposure to natural disasters and climate-related events. These climate-induced issues have revealed a connection between environmental risks and socio-economic vulnerability. Climate gentrification occurs when lower-income communities are displaced to hazardous or vulnerable areas, while wealthier communities relocate to safer, more protected areas. Well-documented, large-scale disasters such as Hurricane Katrina (2005) …

Knightly Arts For Modern Audiences: Faithfully Portraying Historical European Martial Arts In Contemporary Media, Justus (Isaiah) Morgan '26

Honor Scholar Theses

The ahistorical spectacular stylization of medieval and Renaissance European martial arts, which is common in modern artistic media, is flawed. In at least some cases a historically informed approach is preferable. This thesis describes how one might take such a historically informed approach to writing a fight scene. It examines the martial arts practiced by elite members of society through the medieval poems Beowulf and The Song of Roland, and through martial arts manuals including Fiore de’i Liberi’s Flos Delatorum, the glosses of Johannes Liechtenauer’s Zettel, and the rapier manuals of Camillo Agrippa and Girard Thibault d’Anvers. It considers audience …

The Influence Of Lower-Body Explosive Power, Speed, And Eye-Foot Coordination On Long Jump Performance: A Path Analysis Study, Alwi Fahruzy Nasution, Imanuddin Siregar

Indonesian Journal of Research in Physical Education, Sport, and Health

Background: Long jump performance is influenced by various physical and coordinative components, particularly lower-body explosive power, running speed, and eye-foot coordination. However, limited studies have simultaneously examined the predictive relationships among these variables using a path analysis model among university students in physical education programs. Objective: This study aimed to analyze the direct and indirect predictive relationships among lower-body explosive power, speed, eye-foot coordination, and long jump performance. Methods: This study employed a quantitative, cross-sectional, correlational design with path analysis. The sample consisted of 30 students selected using a total sampling technique. Data were collected using standardized physical performance tests, …

Improving Academic Learning Time Effectiveness Through Lesson Study In Elementary Physical Education, Nora Antika, Meirizal Usra, Wahyu Indra Bayu, Iyakrus Iyakrus, Herri Yusfi, Arizky Ramadhan, Asha Hasnimy Mohd Hashim, Japhet Ndayisenga, José Vicente García-Jiménez

Indonesian Journal of Research in Physical Education, Sport, and Health

Background: Academic Learning Time in Physical Education (ALT-PE) is a key indicator of instructional effectiveness, reflecting the time students spend actively engaged in meaningful learning activities. However, PE lessons often involve excessive Management and waiting time, reducing opportunities for active participation. Although Lesson Study (LS) is recognized as a collaborative professional development approach that can improve instructional quality, its impact on ALT-PE remains underexplored. Objective: This study examined the effectiveness of Lesson Study (LS) in improving instructional effectiveness and optimizing ALT-PE among elementary school PE teachers. Methods: A qualitative-dominant mixed-methods action research design was employed involving 10 PE teachers from …

Adopting Artificial Intelligence: Cross-Sector Analysis Of Ai Adoption Risks, Brandon Saari, Yona Berger, Yanett Munoz, Alex Agnick, Paul Wagner, Robert J. Honomichl

Journal of Cybersecurity Education, Research and Practice

Artificial intelligence (AI) is rapidly being adopted across public and private sectors. This offers significant gains in efficiency, decision making, and access to information. At the same time, AI introduces complex risks related to cybersecurity, privacy, bias, transparency, accountability, and equity that existing governance and security frameworks do not fully address. This paper presents a cross-sector literature review and comparative analysis of AI adoption risks and mitigation strategies across four critical domains: the federal government, libraries, K–12 education, and healthcare. Drawing on peer-reviewed research, institutional frameworks, and policy guidance, the study identifies sector-specific challenges alongside shared systemic gaps, including insufficient …

Evaluating Square Gradient Theory For Correlation And Prediction Of Surface Tension, J. Richard Elliot

University Research

The ESD EOS [Elliott, Suresh, and Dohohue, IECR 1990, 29, 1476] is incorporated into the open-source Square Gradient Theory (SGT) library published by Mejia et al. [Mejia, Müller, and Chaparro-Maldonado, J. Chem. Inf. Model. 2021, 61, 1244]. The combined formalism is evaluated for accuracy compared to experimental measurements and empirical correlation methods. Earlier evaluations of the ESD EOS have shown it to provide accuracy like other EOSs for vapor pressure, vapor–liquid, liquid–liquid, and solid–liquid equilibria where the databases covered roughly 500 compounds and 100–200 mixtures each. For surface tension, a database of measured values for roughly 1000 compounds has been …

Investigation Of Target Detection In Hyperspectral Images For Aided Target Recognition, Mazharul Hossain

Electronic Theses and Dissertations Archive

Aided/Automatic Target Recognition (AiTR/ATR) enhances human decision-making by improving the detection, localization, and interpretation of targets in sensor imagery. Hyperspectral (HS) imaging provides rich spectral information for AiTR that can significantly improve target detection; however, HS detectors often perform unreliably in real-world conditions due to high data dimensionality, limited labeled training data, class imbalance, sensitivity to environmental and sensor variations, and a shortage of pre-trained models. These challenges frequently lead to degraded performance when models trained in one setting are deployed in different scenes, sensors, or operating conditions. The overarching goal of this dissertation is to make hyperspectral target detection …

Citizenship Education In Social Studies: A Forty-Five-Year Content Analysis (1980–2025), Renita Parks

Electronic Theses and Dissertations Archive

This study examined how citizenship education has been defined, discussed, and framed in major social studies journals between 1980 and 2025. While citizenship education has long been identified as a central purpose of social studies, its meaning has shifted in response to changing political, social, and educational contexts. The purpose of this study was to identify patterns and trends in how citizenship has been conceptualized in professional literature over a 45-year period. A qualitative content analysis was conducted using articles published in three prominent social studies journals. Articles were selected using predetermined criteria and analyzed for definitions of citizenship, contextual …

Ilmu Politik Dan Hukum, Prof, Dr. Soeriono Soekanto, S.H.,M.A.

Jurnal Hukum & Pembangunan

Abstract

Quantifying Dag-Ness: A Multi-Component Framework, Erik Csikos

Northeast Journal of Complex Systems (NEJCS)

Directed acyclic graphs (DAGs) are important structures across many disciplines, including mathematics and network science. They are especially useful in modeling causal and hierarchical relationships in a wide variety of applications. The primary
features of a DAG, directedness and acyclicity, are traditionally treated as binary. A graph is either DAG or it is not. Because of this, graphs are not usually interpreted as partially acyclic or partially directed. To address this gap in understanding, we
introduce a framework, consisting of five components, that will provide a continuous measure of DAG-ness. This measure will take into account edge acyclicity, node cyclicity, …

Administering Surveys To International Undergraduates—Recommendations For Best Practices, Ricardo Paniagua, Barry Fass-Holmes

Journal of Comparative & International Higher Education

Researchers and educators historically have administered surveys to collect data, track perceptions, and/or solicit opinions from undergraduates, including internationals, attending American institutions. To promote survey responses’ generalizability, the present report advocates the following recommendations for best practices in survey administration. 1) Use stratified random sampling methodology to identify which specific subset of students from the campus’ source population to invite to the survey. 2) Strive for, design, and implement an administration process that achieves a high response rate (preferably above 90%). 3) Choose an incentive that is truly salient for survey invitees to recruit and reward them for their time. …

Service Abroad: Developing Human Connections And Global Citizenship, Anna Zak

Journal of Comparative & International Higher Education

This grounded theory investigation theorizes how service abroad programs can promote global citizenship development among university students. The analysis of interviews, annotated artifacts, and class assignments delineates the theory that participation in service abroad provides opportunities to form connections to the host community and empathize with people who are different, thereby promoting personal paradigm shifts from caring about the self to caring about the collective. Service offers an entry point into a host community that enables students to embrace a wider global perspective, form a better understanding of social justice, experience profound personal growth, as well as develop human connections …

How Website Trust Develops Across Websites Of Different Quality And How Product Involvement Affects That Development: A Visual Processing Perspective, James Coyle, Lee Hillman, Linh Nguyen

Atlantic Marketing Association Proceedings

No abstract provided.

Translation Quality As A Cue: Effects On Fair Price Perceptions And The Moderating Role Of Consumer Traits, Chiara Marinelli, Marco Balzano, Guido Bortoluzzi

Atlantic Marketing Association Proceedings

No abstract provided.

The Role Of Ai Chatbots In Dentistry: A Systematic Review Of Applications, Benefits, Challenges, And Future Directions, Arushi Kumari, Upasana Reddy, Mamatha Shekar Shetty

International Arab Journal of Dentistry

Introduction: Artificial intelligence (AI) aims to develop systems capable of performing tasks that require human intelligence, including learning, reasoning, and decision-making. In dentistry, AI is increasingly applied across multiple specialties, such as operative dentistry, periodontics, orthodontics, oral and maxillofacial surgery, and prosthodontics, particularly in diagnosis, treatment planning, and prognosis.

Objectives: This review focuses on the application of AI chatbots in dentistry, exploring their potential benefits and limitations. The objective of this review is to addresses the questions: 1. Which dental domains employ AI chatbots? 2. What evidence exists for their performance in diagnostics, patient engagement, and education? 3. What ethical, …

Climate Rhythms And U.S Extremes, Brendan P. Horn

Scholars Week

There is no question that the United States has been hit hard by weather extremes — massive storms, long droughts, and everything in between. We’re often led to believe that our carbon footprint alone drives these events, but the reality is far more complex. While trapped warm water in the Gulf of Mexico can create significant problems, it is far more certain that global climate change follows natural cycles that many are unwilling to acknowledge.

This poster offers a small but clear picture of what truly drives extreme weather in the United States and what we can actually do about …

Preliminary Sonification Of Enso Using Traditional Javanese Gamelan Scales, Sandy Hs Herho, Rusmawan Suwarman, Nurjanna J. Trilaksono, Iwan P. Anwar, Faiz R. Fajary

Northeast Journal of Complex Systems (NEJCS)

Sonification—the mapping of data to non-speech audio—offers an underexplored channel for representing complex dynamical systems. We treat El Niño-Southern Oscillation (ENSO), a canonical example of low-dimensional climate chaos, as a test case for culturally-situated sonification evaluated through complex systems diagnostics. Using parameter-mapping sonification of the Niño 3.4 sea surface temperature anomaly index (1870–2024), we encode ENSO variability into two traditional Javanese gamelan pentatonic systems (pelog and slendro) across four composition strategies, then analyze the resulting audio as trajectories in a two- dimensional acoustic phase space. Recurrence-based diagnostics, convex hull ge- ometry, and coupling analysis reveal that the sonification …

Reducing Systemic Bias In Behavioral Targeting Using Explainable Ai: The Harmonia Complex Systems Approach, Ruchira Deokar, Preethi Nanjundan, Jossy P. George, Carlos Gershenson

Northeast Journal of Complex Systems (NEJCS)

Behavioral targeting is a key part of the modern advertising web's algorithmic engine. However, it is unclear whether optimization processes worsen bias, promote unchecked spread in filter bubbles or lower overall users' trust levels. This paper introduces HARMONIA (Holistic Adaptive Regulatory Model for Optimizing Non-transparent Intelligent Advertising), a comprehensive, data-driven Explainable Artificial Intelligence (XAI) framework aimed at transforming behavioral targeting via transparency, interpretability, and adaptive ethical regulation. This paper conducted a comprehensive Explorative Data Analysis (EDA) on the public Criteo Display Advertising Dataset, which contains over 45 million records, to identify patterns in high-dimensional user-ad interaction space. This analysis uncovered …

Relation Between Swelling Potential And Swelling Pressure For Different Types Of Expansive Clay Of New Cairo, Sherouk Hany Mohamed, Amr Radwan, Mohammed Rabie, Hussein Mostafa

HBRC Journal

The purpose of this paper is to present correlations that may help in predicting swelling pressure (P_S) and swelling potential (SP) for expansive clay, which can contribute to solving engineering problems such as cracking, shifting or other structural damage, that may occur, if the behavior of this type of soil is not taken into consideration. Therefore, in this research, five different samples of expansive clay soils were collected from different site locations in New Cairo, Egypt. Then, these samples were dried, pulverized and passed through sieve No. 40 (0.425 mm). The samples were prepared initially at maximum dry …

The Level Of Use Of Artificial Intelligence Applications In Teaching Mathematics From The Perspective Of Mathematics Teachers And The Challenges They Face, Yahya Hijab Alhazmi

University of Bisha Journal for Educational Sciences

The research aimed to identify the extent to which secondary school mathematics teachers utilize artificial intelligence applications in teaching, and to identify the challenges they may face. Using a descriptive survey methodology and data collected from an electronic questionnaire developed by the researcher (and after verifying its validity and reliability), the questionnaire was administered to a sample of 363 male and female teachers in secondary schools affiliated with the Jazan Education Department. The research found a moderate level of AI use among teachers and identified key challenges affecting both teachers and students. No significant differences related to gender or experience …

The Impact Of Differentiated Instruction Strategy In Life Skills And Family Education On The Development Of Twenty-First Century Skills Among Sixth-Grade Primary Students, Tahani Khalid Al-Jubair

University of Bisha Journal for Educational Sciences

This study aimed to identify the effect of using the differentiated instruction strategy in the Life Skills and Family Education course on developing 21st-century skills among first-grade intermediate female students. The researcher adopted a quasi-experimental design. The study sample consisted of (50) first-grade intermediate students from Fatimah Al-Zahra Intermediate School, affiliated with the Eastern Province Education Office in the city of Dammam, during the academic year 1446 AH. The sample was equally divided into two groups: an experimental group (25 students) and a control group (25 students). To achieve the study objectives, a 21st-century skills questionnaire was developed, along with …

Design Of An Adaptive Sliding Mode For Satellite Attitude Control Based On Barrier Function, Osamah A. Aldoori, Mohammed Y. Hassan, Abbas H. Issa

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Sliding mode control (SMC) has demonstrated significant success in controlling nonlinear systems, particularly those subject to disturbances and uncertainties. However, due to the negative effect of the Chattering phenomenon, it has become necessary to employ an Adaptive Sliding Mode Controller (ASMC) capable of handling time-varying disturbances. This work presents a two-phase Barrier Function (BF) based Adaptive Sliding Mode Controller (BFASMC). This controller is designed to achieve robust stability and performance of nonlinear systems without prior knowledge of disturbance bounds, and applied to satellite Attitude control. The first phase is a constant gain adaptation to ensure rapid convergence, while, the second …

Design And Numerical Analysis Of A High-Quality Factor Plasmonic 1 × 3 Demultiplexer Based On Mim Waveguides, Karrar A. Kzar, Ahmed Ghanim Wadday, Sinan M. Abdulsatar

Iraqi Journal of Computers, Communications, Control and Systems Engineering

This study aims to design plasmonic filters as essential components in photonic integrated circuits,based on surface plasmon polaritons (SPPs).Surface plasmon polaritons (SPPs) are electromagnetic waves that are transmitted at metal-insulator boundaries.Optical apparatuses founded on SPPs have been widely planned too deliberate because of their outstanding possessions, like beat the diffraction limit and treatment light at subwavelength range and at high speed in minor constructions. Design and analyzing a compact 1 × 3 optical demultiplexer in a plasmonic nano structure be also designed utilize the finite element method (FEM), and the suggested structure was arithmetically simulated utilize COMSOL Multiphysics 5.6 software. …

Reliability Analysis For Deep Learning Secured Wireless Sensor Networks, Abeer Hussein Abdulrasool, Ekhlas Kadhum Hamza, Ahmed Mudheher Hasan

Iraqi Journal of Computers, Communications, Control and Systems Engineering

With the advancement of software, wireless sensor networks (WSNs) face many problems and challenges, such as loss or limitation of node power resources, as well as intrusions and other cyberattacks. This study aims to improve the reliability of WSNs to mitigate the impact of cyber-attacks by applying effective detection and prevention techniques to ensure their continuous operation, as well as to maintain the security, privacy, and integrity of information. Several efficient approaches and smart techniques have been presented in literature to enhance the reliability and security of WSNs against various cyber-attacks. Recent studies focused on the deep learning (DL) algorithms …

Design And Implementation Of An Ofopid Controller For Iraqi Two Areas Power System Using Ant-Colony Optimization Algorithm, Mazin N. Ajaweed, Abbas H. Issa, Mazin T. Muhssin

Iraqi Journal of Computers, Communications, Control and Systems Engineering

This study introduces a multi-zone of the Iraqi system model powered by various energy sources, where decentralized controllers operate independently to manage the system's frequency. The system model comprises two zones: the first zone represents the north and central power plants of Iraq. The second zone incorporates the Euphrates and southern power plants of Iraq. The data of the system is obtained from the Iraqi Ministry of Electricity. To evaluate the system's performance, a load disturbance is applied to the system. The study examines various control methodologies, first with an Optimised Proportional-Integral-Derivative (OPID) controller as the baseline, subsequently progressing to …

Secret Key Generation From Real-Time Audio In Communication Apps, Rasha M. Mohsin

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Social media platforms security growing challenge of Security vulerabilities, underscoring for secure communication channels and robust user privacy safeguards. Althought key exchange protocol of the Diffie-Hellman (DH) widely adopted, remains various attacks of susceptible asnumber_theoretic exploits, Discrete Logarithm Attacks (DLAs) and Man_in_the_Middle Attacks (MITMAs). This study aim to generate cryptographic key depend on WAV audio files. By operating the entropy and distinctiveness of speech and ambient sound. Audio features has extracting by system to generat secure keys compatible with the DH protocol. The facilitate of these keys is strong encryption and decryption processes, thereby that enhancing the security of communication. …

Federated Learning With Deep Learning: A Comprehensive Survey, Sarah H. Mnkash, Faiz A. Alawy, Israa T. Ali

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Federated Learning (FL) introduces a decentralized machine learning paradigm where model training occurs directly on user devices, ensuring data privacy by keeping sensitive information local. This approach ensures data privacy and security by keeping all sensitive or personally identifiable information local to the device, thereby eliminating the need to transfer or centralize raw data. In this survey, we examine federated deep learning — its challenges, recent developments, application domains, privacy preservation strategies, and future trends. We will give some primitive reference papers of the heterogeneity of statistics and systems, communication cost, fairness, and trust. Applications in health, Internet of Things …

Improving The Tracking Performance Of Par-4 Robot Using Nature-Inspired Optimization Algorithms To Tune The Pid Controller, Shaymaa M. Mahdi, Ahmed I. Abdulkareem, Amjad J. Humaidi

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The Par-4 Delta parallel robot is a powerful candidate in most pick-and-place applications that require high speed, high acceleration, and high precision. Improving the tracking accuracy of parallel robots primarily relies on control design, which is essential for achieving enhanced performance and precision. The PID controller includes proportional, integral, and derivative values. On the other hand, the process of optimum tuning for a PID controller is complex and time-consuming until optimization approaches are employed. The Particle Swarm Optimization (PSO), Flower Pollination Algorithm (FPA), and Whale Optimization Algorithm (WOA) algorithms are the three Nature-Inspired Optimization algorithms proposed in this research for …