Digital Commons Network^™

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 …

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

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 …

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 …

A Generalized Convolutional Autoencoder Framework For Seismic Waveform Compression, Emad B. Helal, Mostafa M. Ibrahim, Ali G. Hafez

Almaaqal Journal of Sustainability and Emerging Technology

Effective data compression methods have become crucial as the amounts of seismic data are growing exponentially. Due to extensive surveys and ongoing real-time monitoring, compression not only reduces storage requirements but also optimizes communication bandwidth between remote seismic stations and central processing hubs. In this paper, a generalized autoencoder-based compression framework is proposed.. Its primary innovation is a single, fixed network architecture that delivers robust performance across low, medium, and high compression ratios (CRs). Performance was compared with a dynamic pooling-based model and three wavelet-based methods (db4, sym8, coif3) across CRs from 2 to 100. Experimental results demonstrate that the …

A Review Of Machine Learning Methods In Energy Management System, Mays Sattar Al-Fatllah, Zaipatimah Ali, Aidil Azwin Zainul Abidin

Almaaqal Journal of Sustainability and Emerging Technology

Traditional energy sources are vital for energizing residences and industries. Nonetheless, they meet considerable obstacles, such as deteriorating infrastructure, ecological decline, resource exhaustion, price fluctuations, and a disparity between real-time demand and supply. Conversely, renewable energy sources offer cleaner and more sustainable energy sources. Renewable energy mitigates the pollution caused by carbon and greenhouse gas emissions in traditional power systems. Incorporating renewable energy into a power system needs an efficient management system to keep stability and improve power use. Modern energy management systems (EMS) face a significant challenge in controlling renewable and non-renewable energy sources. The challenges encompass intermittent and …

Machine Learning Framework For Automatic Classification Of Nano-Seismic Signals Preceding Earthquakes, Ghada Ali, Ali G. Hafez, Sayed Hasaneen, Hamed Nofel, Nabeel Al-Atwan, Ahmed Mohamed

Almaaqal Journal of Sustainability and Emerging Technology

Nano-seismicity preceding earthquakes has many applications in fault prediction, in structure health monitoring, and in enhancing fault and source parameter determination. Not all earthquakes are preceded by these precursors; therefore, there is a need to identify P-wave arrivals that are preceded by these nano signals, which will eliminate errors in P-wave arrival timing. The current work introduces topologies capable of automatically categorizing the arrivals with nano-seismic precursors. The proposed methods are trained on datasets extracted from stations belonging to Egyptian National Seismic Network (ENSN). These records contain both P-wave arrivals preceded by such nano precursors and other records without these …

A Smart City Transformation Survey: Using Intelligent Buildings To Promote Smart Cities, Salma A. Alhashimi, Majid A. Alwan, Ali N. Aliedani

Almaaqal Journal of Sustainability and Emerging Technology

The challenges of urbanization have been greatly aided by the integration of cutting-edge technology into smart buildings and cities. In smart cities and buildings, machine learning and the Internet of Things are essential for boosting sustainability, increasing safety, and optimizing resource use. In order to enable more effective, connected, and comfortable living in urban settings, this work has introduced the relationship between creative technology and buildings. It also discusses the regulatory frameworks for smart cities and emphasizes the importance of standardization in this regard.

Current Status And Future Trend Of Research On Underground Borehole Measurement Technology For Coal Mines, Chen Long, Yang Dongdong, Li Quanxin, Chu Zhiwei, Zhang Jiguan, Chen Xiang

Coal Geology & Exploration

Background Underground borehole measurement emerges as a core technology for the safe production of coal mines. Its multi-parameter measurements, data accuracy, data transmission rate, and reliability directly influence the timeliness of early warning for disasters, the operating stability of instruments, the accuracy of borehole assessment, and the scientific rigor of intelligent decision-making under complex deep geological conditions. Advances So far, the measurement while drilling (MWD) and post-drilling borehole visualization techniques have developed into a diversified technological system. Specifically, the MWD technique has achieved a leap from wireline to wireless transmission, obviating the reliance on wireline drill rods in traditional measurement …

Key Technical Difficulties, Challenges, And Prospects Of Geologic Co2 Sequestration In Saline Aquifers, Wei Hengfei, Shi Junjie, Nie Xiaodong, Fang Jie, Chen Jing, Zhao Yue, Sun Dawei, Li Xin, Zhang Yong, Guo Pei

Coal Geology & Exploration

Background and Method Carbon capture and storage (CCS) technology represents the primary technical direction for large-scale carbon emission reduction. Among various CCS techniques, geologic CO₂ sequestration in saline aquifers holds great potential, establishing it as a major technique for future carbon storage. Based on a review of the current status of research on global geologic CO₂ sequestration in saline aquifers, this study comprehensively analyzed the technical difficulties, challenges, and prospects of this technology, focusing on the dilemma of the application of this technology under complex geological conditions in China. Results and Conclusions A huge gap in both the …

Solving Data Mining Challenges In Neutrosophic Environments Using Bio-Inspired Optimization Techniques, Samia Mandour, Abduallah Gamal, Mohamed Belal

Neutrosophic Sets and Systems

No abstract provided.

Effects Of Video Game Type On Cognitive Performance And Brain Functional Connectivity: A Longitudinal Eeg Study, Jingqing Lu, Ruifang Cui, Lijun Jiang, Chenyu Mu, Weiyi Ma, Diankun Gong, Dezhong Yao

General Human Environmental Sciences Faculty Publications and Presentations

Background: Previous research has shown that video gaming experience is associated with changes in cognitive and perceptual functions as well as neural structure and function. However, how the different types of video games differentially influence cognitive function and neuroplasticity remains unclear. Methods: In this 30-week longitudinal study, participants were randomly assigned to an action video game group or a strategy card game group. Behavioral assessments and resting-state electroencephalography (EEG) recordings were administered at six time points to evaluate changes in attention, working memory, executive function, and their neural correlates. Results: Both groups showed significant improvements in multiple cognitive tasks, but …

New Development Of The Neutrosophic Fuzzy Soft Set Framework Using Several Aggregation Operator Techniques, Ahmad A. Abubaker, Abdallah Al-Husban, R. Uma

Neutrosophic Sets and Systems

No abstract provided.

Advances In Research And Future Prospects Of Borehole Geophysical Prospecting Technology For Coal Mines, Li Ping, Wei Rong, Fan Tao, Zhao Rui, Jiang Bici, Tian Xiaochao, Wang Bingchun

Coal Geology & Exploration

Background Borehole geophysical prospecting technology for coal mines integrates the advantages of both drilling and geophysical prospecting. Accordingly, multiple critical advances have been achieved in its applications to the technologies and equipment for intelligent coal mining in recent years, enabling long-distance, relatively high-precision geological exploration. This technology plays an increasingly important role in a range of fields, including deep mineral resource exploration and the reconnaissance surveys of hidden disaster-causing factors, providing robust support for safe and efficient coal mining. Advances This study systematically reviews the development history of borehole geophysical prospecting technology, elaborating advances in research on the methodology, theories, …

Soft Set Models Applied To Pattern Recognition Via 3-Valued Extension Of Neutrosophic Soft Sets, Ahmad A. Abubaker, M. Palanikumar

Neutrosophic Sets and Systems

No abstract provided.

On Performance Analysis Of A Neutrosophic Bipolar Fuzzy And Texture-Based Model For Covid-19 Detection From Chest X-Rays, Sanjayprabu S, Senthil Kumar L, Santhakumari R, Mareeswari R, Ajithkumar R

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic-Based Feature Set (Nbfs) For Brain Tumor Detection Using Glcm Features And Knn Classifier On Mri Images, S. Gowri, V. M. Vijayalakshmi

Neutrosophic Sets and Systems

No abstract provided.

Process Activities Of A Neutrosophic-Based Smart Simulation Framework For Islamic Sacred Rituals, Nabil M. Abdelaziz, Mohamad S. Al-Thenyan

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic‑Enhanced Cephalometric Analysis With Improved Diagnostic Accuracy For Egyptian Population, Nagham Ahmed Abdelmegeed, Amal F. Abdel-Gawad

Neutrosophic Sets and Systems

No abstract provided.

An Intelligent Soft Computing-Oriented Strategy For Managing Global Sustainability Issues In Dynamic Environments, Walaa M. Sabry

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 94, 2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Utilization Of Dual Catalysts For High-Yield Boron Nitride Nanotube Synthesis Via Chemical Vapor Deposition, Şaban Kalay

Turkish Journal of Chemistry

The direct synthesis of boron nitride nanotubes (BNNTs) via chemical vapor deposition (CVD) in high-temperature furnaces remains highly challenging due to difficulties in optimizing key experimental parameters such as synthesis temperature and catalyst composition. These challenges often result in uncontrolled growth behavior, adversely affecting the quality and yield of the BNNTs. In this study, colemanite was effectively utilized as a boron source for the high-yield synthesis of directionally aligned BNNTs. The synthesis was carried out using a CVD method that used a dual-catalyst system comprising Fe2O3 and MgO in conjunction with a silicon carbide template under high-temperature conditions. The resulting …

Optimizing Crime Response Time Using Predictive Analytics Models, Mohammad Hassan Bin Yaqoob

Theses

Timely and efficient emergency response is essential for public safety, particularly in high- risk urban environments. However, existing dispatch systems often rely on reactive decision- making, leading to delays and inefficient resource allocation. This thesis explores how artificial intelligence (AI) and data modeling can enhance police response times through predictive analytics. A systematic review of 17 peer-reviewed studies identified key predictors such as dispatch behavior, crime history, temporal characteristics, and geographic location. Using real-world emergency response and crime data, predictive models were developed and evaluated through algorithms including XGBoost, Linear Support Vector Machine (LSVM), Generalized Linear Model (GLM), and Neural …

Impact Of Physical Activity On Sleep In Adults Recovering From Substance Use Disorders: A Protocol For An N-Of-1 Observational Study, Sascha Thal, Cele Richardson, Joanne Mcveigh, Craig Thompson, Phoebe Wan, Bingyan Pang, Hugh Riddell, Stephen Bright, James Clarke, Bronwyn Myers

Research outputs 2022 to 2026

Introduction Sleep impairments are prevalent among individuals recovering from substance use disorders (SUDs) and are associated with poorer treatment outcomes and increased relapse risk. Physical activity (PA) is known to enhance sleep in general populations, but its day-to-day effects on sleep during SUD recovery remain underexplored, especially across different recovery stages. Methods and Analysis In this observational n-of-1 study, we aim to examine within-person associations between daily PA and sleep quality in three groups of individuals at varying stages of substance use recovery (early treatment, continuing care and long-term recovery). A substudy will validate the agreement between two wearable sleepmonitoring …

A Pilot Qualitative Study To Better Understand The Factors Related To Suicides And Inform Public Health Action Across A Predominantly Coastal And Rural Area: Cornwall, Southwest Of England: International Journal Of Environmental Research And Public Health, Paula Chappell, Jane Horrell, Kerryn Husk, Beth Simons, Richard A. Sharpe

Peninsula Medical School

Background: Better understanding factors leading to suicide and prevention opportunities is a global public health priority. This qualitative pilot study tested whether reviewing inquest recordings could generate insights during COVID-19 and inform public health prevention programmes across a predominantly rural and coastal area where there are significant health inequalities. Methods: Fifty-five inquest recordings reached a suicide conclusion between March 2020 and January 2021. Stratified sampling was used to obtain two samples from each month. Template analysis was employed to thematically analyse data from 30 inquests. Results: Risk factors during this period were social isolation, anxiety, difficulty in routine creation and …

Multi-Actor Roles In Basic Education Provision For Indonesian Migrant Workers’ Children In Sabah And Sarawak, Neneng Heryati, Chandra Wijaya, Lina Jannah

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

This study examines the governance of basic education access for Indonesian Migrant Workers’ children in Sabah and Sarawak by focusing on the roles of multi-actors involved in service provision. Using a qualitative approach through in-depth interviews and document analysis, the study finds that the operation of Community Learning Centers is highly dependent on the interaction between the Malaysian government as the licensing authority, plantation companies as facility providers and funders, and the Indonesian government through Atdikbud, KJRI/KRI, and SIKK as facilitators of educational diplomacy and the roles of PMI communities. Non-governmental organizations such as Humana Child Aid Society also enhance …

Engaging Stakeholders To Build, Sustain, And Grow Responsible Business: Some Frameworks, Meena Raghunathan, Kara Li Liu

Markets, Globalization & Development Review

This is a follow-up Dialogue commentary to the MGDR publication:

Raghunathan, Meena and Liu, Kara Li (2024) "Moving from ‘Managing Stakeholders’ to ‘Managing for Stakeholders’: The Imperative for Responsible Business," Markets, Globalization & Development Review: Vol. 9: No. 3, Article 4.
DOI: 10.23860/MGDR-2024-09-03-04
Available at: https://digitalcommons.uri.edu/mgdr/vol9/iss3/4.

In this commentary, the concepts of stakeholder approach to management is expanded and deepened.

Import Substitution Industrialization In Africa: Guinea's Experience, Mamadou Saliou Diallo

Markets, Globalization & Development Review

Import substitution industrialization (ISI) is such a template that many countries lagging behind in terms of development considered as an essential phase. The process of adopting ISI by these countries, however, displays contrasts in many aspects. The more apparent cases of differences in ISI adoption emanate from the East-Asian and Sub-Saharan African (SSA) models. These two regions are both latecomers in that industrial revolution, compared to Latin American countries being pioneers, was a chronologically later undertaking. Despite constraining factors, the East-Asian model thrives to become a successful experience. Meanwhile, SSA and Latin American countries still strive to achieve this ambition. …

Development And Validation Of Instruments To Measure Medication Adherence In Hypertensive Patients (Mahp): The Indonesian Case, Burhannudin Ichsan, Erna Herawati, Sri W. Basuki, Ikhwansyah W. Pramudyatama, Umatul Khoiriyah

Journal of Health Research

Background: Hypertension is a chronic disease that poses a significant public health issue globally. Medication adherence among hypertensive patients remains low, leading to various complications that adversely affect individuals, families, and the broader economy and society. To our knowledge, no specific instrument exists to measure medication adherence in hypertensive patients (MAHP) exclusively. This study aims to develop and validate an instrument to measure medication adherence and adherance-related behaviors among hypertensive patients.

Methods: The research consisted of two methods: (1) scale construction and (2) scale validation. The construction phase included: (1) defining the construct and its domains, (2) item development, …

Factors Influencing Tuberculosis Diagnosis, Treatment And Recovery In Alor, East Nusa Tenggara (Ntt), Indonesia, Abdillah Ahsan, Fitri Kurnia Rahim, Elisabeth Kramer, Indah Suci Widyahening, Maulida Gadis Utami

Journal of Health Research

Background: Indonesia aims to reduce tuberculosis (TB) incidence by 50% in 2025 and 80% in 2030. In Alor, TB case notification has reached only 38%, while contact investigation remains low at 21% (46 of 220 cases), ranking 6^th lowest in East Nusa Tenggara (NTT). This study explored factors influencing TB diagnosis, treatment, and recovery.

Method: Focus group discussions were conducted with 32 recovered TB patients at three community health centers (Moru, Alor Kecil, and Kenarilang). In-depth interviews were held with six key local stakeholders, including representatives from the Health Office, the Research and Development Unit, three heads of community …