Digital Commons Network^™

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 …

How Youth Think About Structural, Individual, And Random Sources Of Wealth Inequality, Amanda R. Burkholder, Riley N. Sims, Melanie Killen

Open Access Fund Publications

This study investigated how youth evaluate wealth inequalities, and whether youth differentiate structural, individual, and random explanations for why such inequalities exist. Understanding these distinctions is necessary for addressing exclusionary attitudes, biases, and discriminatory behaviors that emerge in childhood which have deleterious outcomes for youth. The present study included 262 youth (56.1% female; 27% Black, 49% White, 6.5% Asian American or Pacific Islander, 6% Latine, 6% multiracial, 6% other) who were 9 to 14-years-old, living in the Mid-Atlantic region of the U.S., and from primarily middle to high-middle income backgrounds. Participants evaluated wealth inequalities of different causes, reasoned about their …

Jupiter Mass Binary Objects Show A Minimum Acceleration, Mike Mcculloch

School of Engineering, Computing and Mathematics

Forty-two Jupiter Mass Binary Objects (JuMBOs) have been discovered in the Trapezium Cluster: either brown dwarf stars or planets mutually orbiting in pairs. Here it is shown that, just as in galaxies and wide binaries, the mutual orbits of the objects in each of these twin systems deviate from the Newtonian and level off around a mutual acceleration of 2��2/Θ=2×10−10 m/s2 supporting the minimum acceleration predicted by Quantised Inertia (QI), a theory that attributes inertial mass to an interaction between information horizons and quantum fields and predicts galaxy rotation without the need for dark matter. QI further predicts that the …

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 …

Hospital–Medicare Advantage Vertical Integration And Cardiopulmonary Care In Integrated Hospitals, Geronimo Bejarano, Meehir N. Dixit, Alexander P. Philips, Karen E. Joynt Maddox, Meredith B. Rosenthal, Amal Trivedi, David J. Meyers

2020-Current year OA Pubs

No abstract provided.

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

Visualizing The Effect Of Process Pause On Virus Entrapment During Constant Flux Virus Filtration, Wenbo Xu, Xianghong Qian, Hironobu Shirataki, Daniel Straus, Sumith Ranil Wickramasinghe

Biomedical Engineering Faculty Publications and Presentations

Virus filtration is an essential unit operation used to validate clearance of adventitious virus during the manufacture of biopharmaceutical products such as monoclonal antibodies. Obtaining at least a 10,000-fold reduction in virus particles in the permeate is challenging as monoclonal antibodies are about half the size of the virus particles. Minute virus of mice, FDA-recommended model adventitious virus, was labeled with a fluorescent dye. Laser scanning confocal microscopy was used to determine the location of virus entrapment within the virus filtration membrane. Three different hollow fiber membranes made of regenerated cellulose and polyvinylidene fluoride were tested. Feed streams consisted of …

Allfromair™ Ires (Gen 3) – System Architecture, Process Physics & Compliance Verification, Vesa Olavi Lius

Defensive Publications Series

This disclosure describes the ALLFROMAIR™ IRES (Gen 3), a unified thermodynamic platform integrating heating, cooling, ventilation, and atmospheric water generation (AWG) into a single hardware unit. The system utilizes an ”Anticubic” U-channel geometry with airflow velocities <2.5 m/s to minimize fan power according to the Cube Law. Key innovations include a ”Three-Stage Rocket” thermodynamic process and a ”Turbo Effect” where regenerative pre-cooling reduces compressor temperature lift (\Delta T \approx 5K), enabling practical COPs >30.

The disclosure specifically details a pressure-modulated spray nozzle matrix capable of switching between ”Flash Evaporation” (<300 µm droplets) and ”Film Wetting” modes to maximize latent heat transfer on Heresite P-413/Hydrophilic coated exchangers. The system solves historical displacement ventilation stratification (”The Bahco Problem”) via a scavenger heat exchanger (HX4) coupled to a hydronic floor loop. An integrated ”Water Ring” harvests and purifies condensate to EU Directive 2020/2184 standards, enabling decentralized potable water production for residential, commercial, and tropical applications.

Keywords:

Integrated Regenerative Energy System (IRES), ALLFROMAIR, Anticubic U-Channel, Low Lift Heat Pump, Atmospheric Water Generator (AWG), Pressure Modulated Spray Matrix, Flash Evaporation, Thermodynamic Up-Gearing, Heresite P-413, Hydrophilic Topcoat, Radiant-Assisted Displacement Ventilation, Twin-Leg Air Separation, EU Directive 2020/2184, Three-Stage Rocket Process.

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 …

Policy-Compliant Generative Artificial Intelligence Deployment Using A Multimodal Critic, Xingyu Federico Xu, Khyatti Gupta, Ágoston Weisz, Felipe Tiengo Ferreira, Anca Dragan, Adilet Zhaxybay, Igor Petrovski

Defensive Publications Series

Generative AI service providers provide access to image generation tools under contractual terms and conditions that require that such tools are used in a compliant way. GenAI service providers can implement guardrails and safety mechanisms to ensure compliance with their terms and conditions, and applicable regulations. However, it is possible for users to bypass such mechanisms and cause a genAI model to generate images that violate the policies of the service provider and/or applicable regulations. This disclosure describes a vision language model (VLM) that detects AI-generated images that violate specified policies. Using preamble-based policy guidelines, the VLM analyzes a generated …

Rack Thermal Topography Gans, N/A

Defensive Publications Series

The technology relates to a framework for designing the thermal layout of compute resource racks to proactively mitigate heat concentration zones and optimize cooling efficiency. The framework utilizes an artificial intelligence (AI) model, specifically a generative adversarial network (GAN), to automate the layout design process. The generative network is configured to ingest physical and operational constraints and produce a simulated layout. The initial layout estimation is then verified by a discriminator network, which acts as a neural network approximation of fluid dynamics, providing a closed-loop feedback mechanism to refine the generated result. The framework allows for the exploration of a …

A Proposed Model For Assessing The Impact Of Sustainable Practices On The Affordability Of Affordable Housing In Egypt Using Ahp, Ayman M Zakaria Eraqi, Omnia Nagy Abd El-Hafez, Amany Nagy Abd El-Hafez

HBRC Journal

Amid rising inflation and a housing crisis in Egypt, this research develops a model to assess the affordability of sustainable housing for low- and middle-income groups by integrating environmental, social, and economic sustainability criteria. The research methodology used Analytic Hierarchy Process (AHP) to evaluate the relative weights of sustainability criteria in housing projects. Based on their impact on construction costs, these criteria were classified by experts into five main groups: Design Criteria (preliminary studies, initial cost, environmental planning), Neighborhood Criteria (location, design, management), Social and Cultural Criteria (privacy and safety), Natural Resource Sustainability (water, energy), Housing Unit Criteria (design and …

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.

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 …

Pengaruh Video Edukasi Unsafe Action Terhadap Tingkat Pengetahuan Dan Perilaku Pekerja Weaving Di Pt X, Ajay Abdiel Ferrall, Maria Paskanita Widjanarti, Jihan Faradisha

National Journal of Occupational Health and Safety

The textile industry is one of the leading sectors in Indonesia, playing a crucial role in providing employment and driving economic growth. However, this industry also carries significant potential for occupational safety and health hazards, particularly due to unsafe actions. Observations at PT X revealed that workers' level of knowledge and behavior regarding unsafe actions remained low. This study was conducted with the aim of analyzing the effectiveness of an educational video intervention on unsafe actions on workers' knowledge and behavior. This quantitative research employed a quasi-experimental design using a non-equivalent control group model. The study was carried out at …

Efektivitas Pemberian Buah Pisang Raja Untuk Menurunkan Kelelahan Kerja Pada Operator Sewing Umkm Garmen X Karanganyar, Virginia Bernardine Gavra Prachristma Sujudi, Tyas Lilia Wardani, Rizqy Kartika Sari

National Journal of Occupational Health and Safety

Work fatigue is a common problem that can reduce productivity and increase the risk of workplace accidents. At UMKM Garmen X Karanganyar, the lack of supplementary food intake causes energy deficits and fatigue among workers. This condition underlies the research to analyze the effectiveness of giving banana raja (Musa paradisiaca L.) as an additional snack in reducing work fatigue among sewing operators at UMKM Garmen X Karanganyar. The research was conducted using a true experimental method with a pre-test and post-test design with a control group. 42 sewing operators were selected from 47 workers using simple random sampling, divided into …

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.

New Geographic Distributional Records For Fishes From The Black River At Black Rock, Lawrence County, Arkansas, C. T. Mcallister, H. W. Robison

Journal of the Arkansas Academy of Science

During February and/or March 2020-2025, various fishes were collected with a modified minnow trap and hoop nets from the White River drainage of the Black River at Black Rock, Lawrence County, Arkansas. A total of 35 species within 11 families were collected and the following taxa represent new distributional records: Acipenseridae: Lake Sturgeon (Acipenser fulvescens); Polydontidae: Paddlefish, Polyodon spathula; Catostomidae: Quillback (Carpiodes cyprinus), Highfin Carpsucker (Carpiodes velifer), Blue Sucker (Cycleptus elongatus), Northern Hogsucker (Hypentelium nigricans); Leuciscidae: Creek Chub (Semotilus atromaculatus). The most significant discoveries were the collection …

Spatial Distribution And Source-Sink Matching Of Stationary Co2 Emissions In Zhejiang Province, Zhu Qianlin, Chen Dongbao, Liu Hanxiao, Lu Shijian, Chen Fu

Coal Geology & Exploration

Objective Carbon capture, utilization, and storage (CCUS) is supposed to become an essential technology for the consumption of fossil fuels under the background of achieving carbon neutrality. Delving into the spatial distribution of regional CO₂ stationary sources and the source-sink matching characteristics will contribute to more rational decision-making in CCUS deployment and promote the development of carbon sequestration technology. Methods This study investigated the spatial distribution of CO₂ stationary sources in Zhejiang Province and, using the carbon emission factor method, assessed their CO₂ emissions based on their scales. Furthermore, it analyzed the geological features of both onshore …

Physical Simulation Experiments On 4d Visualization Of Dynamic Methane Diffusion And Adsorption In Low-Porosity And Low-Permeability Coals, Liu Tong, Jiao Baizhuo, Lin Baiquan, Sang Shuxun, Yang Wei, Liu Shiqi, Liu Ting, Li He, Yang Mingxing

Coal Geology & Exploration

Objective and Method The diffusivity of methane (CH₄) in coal seams significantly influences the surface extraction of coalbed methane (CBM) and underground gas drainage. However, the visualized characterization of the diffusion and migration processes of CH₄ in coals remains challenging. To address this issue, this study systematically demonstrated the similarity between krypton (Kr) and CH₄ in their adsorption and diffusion behavior in coals. Utilizing Kr—a gas with high X-ray attenuation—as a tracer substitute for CH₄, this study achieved the transparent observation of the dynamic gas migration process in low-porosity, low-permeability, and heterogeneous coals using …

Compression Forming Of Basic Oxygen Furnace Slag-Gypsum Blocks: Performance Enhancement And Environmental Assessment, Fengyi Zhang

Student Works (2020-2029)

The construction industry plays a crucial role in global development but faces significant environmental challenges, particularly CO2 emissions from cement production. Gypsum blocks provide a sustainable alternative to traditional cement concrete blocks. However, the low mechanical strength and water resistance of gypsum materials limit the widespread adoption of gypsum-based materials in the construction industry. This study initially produced gypsum-based blocks using compression forming, adding supplementary cementitious materials (SCMs), and subjecting accelerated carbonation curing (ACC). It was found that compression forming addressed the shortcomings of traditional block manufacturing (high energy consumption and long production time), and the addition of SCMs generated …

Incidental Cardiac Metastasis In Breast Carcinoma, Yaomin Chen, Haibo Wang, Zhiyan Fu, Ellen Elizabeth Connor

School of Medicine Faculty Publications

Background and Clinical Significance: Metastatic breast cancer is a major global health burden, with common metastatic sites including the bones, lungs, liver, and brain. Cardiac metastasis is rare and often clinically silent, leading to underdiagnosis. Recognizing cardiac involvement, even when asymptomatic, is important for understanding the full extent of disease and ensuring optimal patient care. Case Presentation: We report the case of a woman with advanced breast carcinoma who showed no clinical or imaging evidence of cardiac involvement throughout the course of her illness. Following her death from progressive metastatic disease, an autopsy revealed metastatic carcinoma infiltrating the myocardium and …

Effective Dominating Energy In Neutrosophic Over Graphs, E. Lincy, V. Maheswari

Neutrosophic Sets and Systems

No abstract provided.

Pythagorean Neutrosophic Fuzzy Em-Swara-Topsis Approach For Green Supply Selection, Sudip Kumar Gorey, Sreejata Sen Sarma, Avijit De

Neutrosophic Sets and Systems

No abstract provided.

Reliability Estimation Using Interval-Valued Neutrosophic Number For Multi-Criteria Decision Making Problems, Supriya Supriya, Suneel Kumar

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.

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.