Digital Commons Network^™

Review Of Video Steganography By Using Deep Learning Methods: Datasets, Techniques, And Evaluations, Noor Fahem Sahib, Soukaena Hassan Hashem, Ekhlas Falih Naser

Journal of Soft Computing and Computer Applications

The growing prevalence of cyber threats, including fraud and attacks, has intensified the demand for secure methods of safeguarding confidential information exchanged between users. As telecommunications increasingly rely on multimedia data, video steganography has become a prominent technique to address these concerns. By embedding sensitive data within video files, this approach enhances protection against unauthorized access and common internet-based attacks, offering a robust layer of security in an era of escalating digital risks. With the introduction of Deep Learning (DL) steganography methods recently, video steganography can be defined as a rapidly developing subject within information security. This study provides a …

Real-Time Hand Gesture Recognition System For Abductees Rescue Using Deep Learning Techniques, Aws Saood Mohamed, Nidaa Flaih Hassan, Abeer Salim Jamil

Journal of Soft Computing and Computer Applications

Hand gesture recognition is a challenging problem in computer vision, particularly in terms of security surveillance applications. This study presents the first efficient system for abduction-related hand gesture real-time detection based on deep learning. The most critical problem is to detect and recognize hand gestures in real surveillance conditions and to be computationally effective for real-time multi-hand tracking in various lighting situations while allowing reliable surveillance beyond the 1–4 meters limitation. The proposed system consists of three main parts: The adaptive hand tracking algorithm, which has been used to create the Abductees-Rescue dataset. Introduced pose estimation You Only Look Once …

Hate Speech Detection Using Optimized Feature Representation Via Spiral-Grey Wolf Optimizer-Based Machine Learning Approaches, Noor S. Farhan, Matheel E. Abdulmunim, Hasanen S. Abdullah

Journal of Soft Computing and Computer Applications

Hate speech detection is crucial as social media diversifies. This research present a lightweight, scalable system using traditional machine learning methods along with a new approach called Spiral-Grey Wolf Optimizer (S-GWO).

S-GWO effectively selects key features that consider both meaning and content from the Term Frequency Inverse Document Frequency (TF-IDF) space, leading to high-quality representation without excessive computing power.

The propoused system was tested on Arabic and another English datasets using six machine learning methods: SVM, RF, LR, KNN, NB, and SGD. It achieved 92% accuracy and F1 score on the Arabic dataset, while reaching 100% accuracy on the English …

Tax Trends, E. S. Linett

Tax Adviser

No abstract provided.

(R2141) Analysis Of Map^I_1 , Ph^(Oa)_2 / Ph^I_1 , Ph^O_2 / 1 Retrial Inventory Queue With Two Way Communication, (S, S) Replenishment Policy, Feedback, Bernoulli Vacation And Impatient Customers, G. Ayyappan, V. Ganesan

Applications and Applied Mathematics: An International Journal (AAM)

This work discusses about the topic as the two-way communication retrial inventory queue model, the (s, S) replenishment policy, immediate feedback, Bernoulli vacations, and impatient customers. The assumption we make is that arrivals follow a Markovian arrival process, and the server provides phase type services. When the server is idle and there is a positive inventory, an arriving customer immediately receives service. If not, arriving customers goes to orbit with infinite capacity. Only in the account of positive inventory the server renders rapid feedback for incoming call arrivals, otherwise customer departs. Outgoing calls will only be made by the server …

Tinig-Karakter Sa Mga Pader: Graffiti, Bandalismo, At Mga Banyulatin Sa Piling Panitikang Filipino (Character-Voices On Walls: Graffiti, Vandalism, And Latrinalia In Select Philippine Literature), Harvey James G. Castillo

Filipino Faculty Publications

Makailang beses lilitaw sa tradisyonal na midya at social media sa nagdaang kalahating dekada ang ilang pagtutol, pagbabawal, at pandidiri sa mga graffiti at nagsusulat ng mga graffiti mula sa parehong mamamayan at maykapangyarihan. Bunsod ng paggamit ng mga militanteng grupo sa graffiti bilang anyong pamprotesta sa Kalakhang Maynila, tatagurian ng nakararami ang gayong mga sulatin bilang bandalismo o paninira lamang sa pampubliko o pribadong pagmamay-ari. Taliwas ito sa balintunang paggamit din ng estado at merkado sa graffiti, o estetika ng graffiti, sa pamamahala ng espasyo o pagbebenta ng produkto. Sa ganang ito, bumabaling ang pag-aaral sa panitikan bilang lunan …

Laying Continent's End, George Dardess

Jeffers Studies

No abstract provided.

Roan Stallion, Tamar And Other Poems: Centennial Edition, By Robinson Jeffers, Brett Colasacco

Jeffers Studies

No abstract provided.

A Theology Of Creation: Ecology, Art, And Laudato Si', By Thomas Hibbs, David Rothman

Jeffers Studies

No abstract provided.

The Robinson Jeffers Interview: A Conversation With Scott Slovic, Scott Slovic

Jeffers Studies

No abstract provided.

Standardizing Assessment Of Clinical Performance In Physical Therapy: From Good Intentions To Shared Standards, Arvie Vitente, Carmina Rafael, Rolando Lazaro

Rehabilitation Sciences Department Faculty Articles

Clinical education is the crucible in which physical therapy students integrate knowledge, skills, and professional judgment into safe, ethical, and person-centered practice. Yet globally, the assessment of clinical performance remains highly variable, shaped by disparate tools, rubrics, and levels of assessor preparation. While several countries have adopted nationally standardized approaches to clinical assessment, many contexts—including the Philippines—continue to rely on locally developed or institution-specific systems, resulting in inconsistent expectations, inequitable student experiences, and limited capacity for benchmarking, research, and quality improvement. This editorial argues that good intentions alone are insufficient and that the profession must move toward shared, trustworthy standards …

(R2164) The Nature Of The Big Bang Singularity In Inhomogeneous Szekeres Cosmological Frameworks, Ahmed M. Al-Haysah, Abdul-Majeed Al-Izeri

Applications and Applied Mathematics: An International Journal (AAM)

Without killing vector fields, the Szekeres metric is an explicit example of an anisotropic and inhomogeneous solution to the Einstein equations. The inhomogeneous Szekeres cosmological models (ISCM) within the Big Bang singularity (BBS) are obtained. This indicates that the Szekeres solution represents a more general class of exact solutions. It is known to exhibit axial symmetry. We investigate a Big Bang theory of the cosmos, which unexpectedly predicts that the universe started at the so-called BBS a finite length of time ago. A growing number of astrophysical researchers are using inhomogeneous extensions of the Friedmann-Lemaitre-Robertson-Walker (FLRW) solution and, by extension, …

Classifying Glaucoma Disease Images Via Deep Neural Network Technique, Maysoon Jaaffar Rahim, Ali Abid Dawood Al-Zuky, Fatin Ezzat Muhy Al-Dean Al-Obaidi

Baghdad Science Journal

A class of eye diseases known as glaucoma refers to a category of eye disease which is often associated with increased intraocular pressure, and can damage the eye by destroying nerve cells in the retina in addition to the eye's optic nerve. The accuracy of diagnosing glaucoma eye disease depends on the knowledge and experience of the ophthalmologist. Therefore, the need for automatic feature extraction from the retinal image is crucial for the diagnosis of glaucoma eye disease. The current article introduces a multi-layer deep neural network model with convolution and classification layers. The originality of the current search focuses …

Enhancing Patient Experience In Indian Healthcare: A Key Component For Successful Medical Tourism, Elizabeth G. Clark, Elizabeth Ziemba

Visions in Leisure and Business

Post-pandemic, Indian hospital chains have been increasingly expanding their bed capacity, either by constructing new hospitals or acquiring existing healthcare infrastructure in select markets. (1, 2,) A frequent strategy cited for attracting both domestic and international patients is “medical tourism” or “medical value travel.” This paper examines the concept of patient experience and argues that, for India to become a competitive medical tourism destination, hospital operators must prioritize the development and enhancement of patient experience initiatives. By focusing on the quality of patient interactions and care, Indian hospitals can better attract patients from abroad while ensuring sustainable growth and improved …

Managing The Uncertainty Of "Precision" While Navigating Goals Of Care: A Framework For Collaborative Interpretation Of Complex Genomic Testing Results In Critically-Ill Neonates, Donnamaria E. Cortezzo, Katharine Press Callahan, Bimal P. Chaudhari, Elliott M. Weiss, Monica Hsiung Wojcik, Krishna Acharya, Amy B. Schlegel, Kevin M. Sullivan, Jessica T. Fry

Department of Pediatrics Faculty Papers

Each year, many neonates are born with genetic diagnoses that carry a range of prognoses. As the types and availability of genetic testing have expanded, neonatal intensive care units (NICUs) have served as "launching points" for their clinical application. Broad genetic testing has both improved diagnostic precision and expanded uncertainty. Genetic information may be explicitly uncertain, as in the case of a variant of unknown significance (VUS). But it is also frequently uncertain whether/how the information relates to a patient's phenotype or what it may mean for a child's future. Even without ambiguity in the diagnosis or prognosis, the significance …

Teach-Back Techniques In Telehealth: A Review And Insights For Future Directions, Faith A. Albertson, Waka Alnakhi, Shanikque Barksdale, Shannon Stark Taylor, Shaniece Criss, Daniela B. Friedman Ph.D., Karen A. Kemper, Lorie Donelle Phd, Rn, Fcan, Wanda Thompson, Phyllis Macgilvray, Nabil Natafgi

Publications

Background and objectives: The rapid expansion of telehealth during the COVID-19 pandemic has created new challenges in patient-provider communication due to the absence of in-person interactions and visual cues. Teach-back, a method where patients repeat information to confirm understanding, is a promising tool for improving communication in virtual care. This review evaluates the effectiveness of teach-back techniques in telehealth settings.

Methods: A search of four databases (CINAHL, EMBASE, PsycINFO, PubMed) was conducted, yielding 10 studies that met the inclusion criteria. The article inclusion/exclusion criteria consisted of the following: (1) telehealth services topic; (2) direction provision related to teach-back; and (3) …

A Social Media-Based Framework For Marketing Architectural Design Firms In Egypt During Global Economic Downturn, Ayman Ahmed Ezzat Othman, Yara Ahmed Maarek

Architectural Engineering

Purpose – The global economic downturn has greatly impacted the construction industry and architectural design firms (ADFs). Social media, however, provides a strategic avenue to enhance the visibility and resilience of ADFs. This paper aims to develop a framework integrating social media as an innovative marketing approach for mitigating the impacts of the global economic downturn on ADFs in Egypt.

Design/methodology/approach – A qualitative and quantitative research approach was designed to accomplish four objectives. The literature review examined the global economic downturn and marketing ADFs. Three case studies investigated the role of social media in marketing ADFs during economic uncertainties. …

Development Of A Social Media Political Engagement Scale For Thai Youth, Thanaphol Huayhongtong, Nhabhat Chaimongkol

Journal of Education Studies

The purpose of this research was to develop and validate a social media political engagement scale for Thai youth. The sample consists of 934 grade 10-12 students in the academic year 2025, from schools administered under the Office of the Basic Education Commission (OBEC), Ministry of Education. Recruiting by using a muti-stage random sampling. The research instrument was a social media political engagement scale, a 5-point Likert scale, consisting of 73 items. The psychometric quality of the scale was evaluated using the content validity index (CVI), item discrimination indices, and internal consistency reliability. The finalized scale comprised 49 items across …

Read Well, Read Right: Developing Thai Reading Skills Of Third-Grade Students Through Phonics-Based Instruction Combined With Reading Skill Exercises, Wirachai Longkaeo, Sitah Thayati

Journal of Education Studies

This pre-experimental research aimed to 1) examine the effects of phonics-based instruction combined with reading skill exercises on Thai reading skills of third-grade students, and 2) investigate the learning process and factors contributing to the success of this instructional approach. A one-group pretest-posttest was employed. The target group consisted of 15 third-grade students from a private school in Chiang Mai Province, selected through purposive sampling based on their Thai reading assessment scores, identifying students with beginning-level reading foundations. The intervention lasted 10 hours. Research instruments included 1) a Thai reading skill test, and 2) observation and student reflection form. Quantitative …

Psychological Responses To Interval And Continuous Exercise In People Living With Hiv: A Single-Blind, Counterbalanced, Crossover Study., Phelipe Wilde, Victor S. De Queiros, Jason R. Jaggers, Angelo Sabag, Julio M. Alves, Elaine Fernandes, Robert F.C. Rocha, Paulo F. De Almeida-Neto, Ronaldo Vagner Thomatieli-Santos, Paulo Moreira Silva Dantas

Faculty and Staff Scholarship

Abstract
Aim: This study compared acute psychological responses to a single session of low-volume high-intensity interval exercise (HIIE-LV), high-volume highintensity interval exercise (HIIE-HV), and moderate-intensity continuous exercise (MICE) in people living with HIV, and healthy controls using a randomized, counterbalanced crossover design. Methods: The participants (people living with HIV, and healthy controls) completed three exercise sessions in randomized order: HIIE-HV (4  4 min at 80% of maximal power output [Wmax]), HIIE-LV (10  60 s at 90% Wmax), and MICE (30 min at 60% Wmax). Psychological outcomes included affective response assessed by the Feeling Scale, exercise enjoyment and future exercise intention …

Development Of A Competency-Based Curriculum Through Co-Creation Mechanism To Build High-Skilled Labor Force: Case Studies Of Thailand, Singapore, Germany And South Korea, Panisa Harnpathananun, Somboon Sirisunhirun

Journal of Education Studies

Thailand’s time-based education system still faces limitations in developing 21st Century skills and misalignment with labor market demands. This article analyzes the development of a competency-based curriculum (CBC) through case studies of Thailand, Singapore, Germany, and South Korea, aiming to propose guidelines for enhancing high-skilled labor that corresponds to the needs of the industrial sectors. The study reveals that Thailand has CBC pilot projects such as Work-integrated Learning (WiL), Skill-Mapping, and Higher Education Sandbox. However, it also has key weaknesses, for example, weak tripartite cooperation (government, private sectors, educational institutions), insufficient financial support, inflexible curricula that do not focus on …

The Effects Of Contemplative Facilitation On The Enhancement Of Self-Awareness Among The Elderly: A Case Study Of The Social Welfare Development Center For Older Persons, Chanokporn Suwittayapan, Proetphan Daensilp, Jiraporn Kespichayawattana

Journal of Education Studies

This action research aims to examine a contemplative facilitation process that fosters self-awareness among the elderly. The participants were 10 elderly people from a Social Welfare Development Center for Older Persons in Phra Nakhon Si Ayutthaya Province. Qualitative data were collected through participant observation and in-depth interviews, and data were analyzed using thematic analysis. The results revealed that the developed contemplative facilitation process, grounded in mindfulness cultivation, observation of the body, emotions, and thoughts, and deep listening, comprised eight activity sessions incorporating art-based activities and nature-connected practices. This process led to the development of self-awareness in four main areas: 1) …

Hybrid Pre-Trained Models With Machine Learning Classifier For Skin Cancer Classification, Toqa A. Sadoon, Asaad F. Qasim, Mohammed Khalaf, Ali M. Hasan

Baghdad Science Journal

Classification of skin lesions can be challenging because of the subtle variation on the skin surface due to the appearance of these lesions. In the other hand, the digital dermoscopy has been widely used by dermatologist to diagnose cancer. For accurate detection, the clinicians should have a lot of experiences, but human nature is prone to error, forgetfulness, tension, and speed in diagnosis, all of which can affect the accuracy of detection. For these reasons, automated skin lesion classification has been used by many researchers to help dermatologists in making the right and accurate decision during diagnosis. A preprocessing image …

Numerical Simulations Of Ship Liquid Tank Sloshing Based On Graph Neural Networks, Wenkang Zhang, Xiaofeng Sun, Yiping Zhong, Yong Yin

Journal of System Simulation

Abstract: To address the high consumption of computational resources in simulating ship liquid tank sloshing using computational fluid dynamics simulation methods, a data-driven numerical simulation model was proposed based on graph neural networks. An encoder-processor-decoder framework was employed in the proposed model. The encoder extracted features of fluid particles from the first five time steps. The processor learnt latent motion patterns of fluid and updated features, and the decoder predicted features of particles at subsequent time steps. The processor incorporated a self-attention mechanism to enable dynamic adjacency weight allocation and emphasize the influence of irregular tank wall regions. Training …

The Gamification Of Online Dating: Exploring The Intersection Of Play, Choice, And Romance In Digital Spaces, Emma Taylor

School of Law, Humanities and Social Sciences

The rise of online dating platforms has transformed the way individuals approach romantic relationships, with many users increasingly engaging in these platforms as a form of entertainment in addition to finding meaningful connections. Central to this shift is the growing phenomenon of gamification, the incorporation of game-like elements, into non-game contexts. This article proposes to explore the gamification of online dating, examining how these game mechanics shape user behaviours, influence romantic choices, and impact relationship outcomes. By analysing the ways in which dating platforms integrate game-inspired features, this study will also assess the implications of gamified experiences for the nature …

Emotive Immersion: Eeg-Driven Ai Art In Immersive Visual Spaces (Full Dome), Yuming Chen, Gianni Corino

School of Art, Design and Architecture

This paper proposes a rethinking of the “Future Screen” through the integration of affective computing, generative AI, and immersive spatial display. As an advanced screen paradigm, the full dome environment transcends flat, passive interfaces and enables dynamic, multisensory, and emotionally adaptive media experiences (Von Chamier-Waite, 2013). Building on this potential, the research presents Coids, an interactive dome installation. In this work, real-time emotional states are captured using EEG-based emotion recognition. These inputs dynamically shape AI-generated visuals within a shared immersive setting.Drawing on theories of immersion, presence, AI generated visuals and affect, the study explores how physiological data, even from low-resolution …

Volumetric Video With Skateboarders: Creative Opportunities Of Working With An Emerging Screen Technology Beyond The Studio, Dani Landau, Diego Zamora

School of Art, Design and Architecture

Volumetric video is an emerging moving image technology in which each pixel is recorded witha location in three dimensions. Volumetric videos are normally created in studios using rigs made upof multiple cameras with LiDAR sensors and computers that combine the moving images. We tookthis technology out of the studio to explore variations of this technique in public skateparks. We foundthat as the technology is still in developing stages there are creative constraints: the lidar cameras sense at a limited distance to the subject, the image is of a relatively low resolution, and there are often glitches in theimage. In our …

Satellite-Mediated Quantum Clock Synchronization: Towards Precise Timing At A Global Scale, Sage B. Ducoing

LSU Doctoral Dissertations

Accurate timekeeping is essential for scientific and technological advancements, particularly in areas of communication, networking, navigation, and high precision measurements. While many methods of time resolution are already established using classical resources, they fail to combine high precision outcomes with large-scale implementations. Additionally, numerous quantum networking architectures using satellite-assisted methods have demonstrated quantum communication on scales exceeding ground-based methods. For these reasons, we propose the use of a time synchronization method by which pairs of highly time-correlated photons are exchanged between clocks on satellites and clocks on Earth, al- lowing users to reconstruct the time offsets between their clocks. This …

Distinct Populations Of Lung Capillary Endothelial Cells And Their Functional Significance, Joel James, Dan Yi, Zhiyu Dai, Et Al.

2020-Current year OA Pubs

The role of the lung's microcirculation and capillary endothelial cells in normal physiology and the pathobiology of pulmonary diseases is obviously vital. The recent discovery of molecularly distinct aerocytes and general capillary (gCaps) endothelial cells by single-cell transcriptomics (scRNAseq) advanced the field in understanding microcirculatory milieu and cellular communications. However, increasing evidence from different groups indicated the possibility of a more heterogeneous nature of lung capillaries. Therefore, we investigated enriched lung endothelial cells by scRNAseq and identified five novel populations of gCaps with distinct molecular signatures and roles. Our analysis suggests that two major populations of gCaps that express Scn7a(Na

Power-Efficient Speech Detection And Transcription Utilizing Cascaded Visual Triggers And Sensor Fusion, Jon Hurwitz, Yaaseen Mahomed

Defensive Publications Series

Voice interaction is often the primary input modality for wearable electronic devices, such as augmented reality (AR) glasses. However, effective interaction via a voice interface can be difficult in certain common scenarios such as noisy environments, quiet environments where the wearer cannot provide audible spoken input, etc. This disclosure describes techniques that enable adaptive, multi-modal speech-to-text transcription on smart glasses using sensor fusion. The smart glasses include microphones (e.g., a microphone array), a vibration sensor (e.g., in the nose bridge), and low-power cameras that have the wearer’s lips in the field of view. Data streams from these sensors are combined …