Digital Commons Network^™

Traces Of Presence: Remembering Daniel Pinheiro, Billy Clark

Journal of Network Music and Arts

A tribute article in memory of artist Daniel Pinheiro (1982–2025).

The Zone: Hyperintimacy In Telemersive Performance, Benjamin Burger, Patrick Muller, Joel De Giovanni, Martin Frölich, Eric Larrieux, Hannah Walter

Journal of Network Music and Arts

This article explores how immersive technologies can create intimate connections between physically separated people through the telematic performance titled The Zone. The project links two stage spaces—one for a performer and one for an audience member—using advanced technologies including volumetric video, 3D scanning, spatial audio, motion capture, and augmented reality. Developed at the Institute of Computer Music and Sound Technology at the Zurich University of the Arts, these Extended Reality (XR) tools enable what we call hyperintimacy—an enhanced form of connection that transcends physical distance through immersive telepresence. Despite the artificial technological context, participants experience genuine encounters that balance digital …

Mediating The Exquisite: Aesthetic Affordances Of The Network Arts, Seth Adams

Journal of Network Music and Arts

This paper argues that the Network Arts afford uniquely nuanced aesthetic interactions among humans and between humans and machines. After defining these moments under a new concept I call exquisite musicking, I investigate how distributed networks of human and nonhuman actors create experiences that challenge or complicate traditional notions of agency, ensemble, aesthetics, and synchrony. Using Actor-Network Theory as a lens of inquiry, I explore the exquisite affordances of network-based musicking, discussing how pitch, timbre, and texture are co-created in networked performances. I also examine how exquisite musicking could serve as a fruitful concept in music education, particularly in pedagogical …

Visionarium, July 2025, Full Issue

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

No abstract provided.

Enhancing Art History Education With Ai: Accessibility, Engagement, And Skill Development, Analisa Soverns-Reed

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

The integration of Artificial Intelligence (AI) in the art history classroom offers transformative opportunities for students through accessibility, engagement, and skill development. This paper explores how AI can democratize access to art history education by providing cost-effective tools that eliminate traditional barriers, such as expensive textbooks, inaccessible archives, or costly field trips. AI-powered platforms like visual recognition software and adaptive learning tools enable students to engage with material more deeply, allowing for personalized learning pathways and interactive explorations of art and its contexts. Beyond content delivery, incorporating AI fosters critical digital literacy, equipping students with the skills to navigate and …

Painting With Ai: Enhancing Creativity And Understanding In The Arts Classroom, Erica Blum

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

In the context of contemporary art and design education, the rapid advancement of generative artificial intelligence has introduced profound shifts in both creative practice and pedagogical responsibility. Art and design professors now encounter students who approach AIdriven tools with a mixture of skepticism and curiosity, often perceiving such technologies as antithetical to authentic artistic development or as expedient alternatives to disciplined practice. This article articulates an instructional approach that leverages Adobe Photoshop’s generative capabilities—specifically neural filters, generative fill, and the manipulation of alpha channels— to position artificial intelligence as a collaborative, rather than substitutive, element within digital art-making. The 2025 …

Bridging Tradition And Technology: Ai As A Catalyst For Heritage Preservation And Humanities Research, Kholoud Ghaith

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

It is an empirical study examining how AI can be the driving force for cultural heritage and humanities conservation. As the AI tools that digitize, analyze, and conserve cultural resources have become in recent years, they have led to digital transformations in machine learning, digital twinning, and natural language processing. These technologies answer the industry's most challenging problems, such as the loss of historical material, access restrictions to heritage sites, and the labor-intensive nature of traditional conservation techniques. In implementing AI in heritage, institutions can document more accurately, keep records predictively, and offer more interesting public experiences via rich digital …

Ai-Powered Storytelling And Interactive Timelines For Arts And Humanities Education, Bhavya Raoulji

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

The integration of artificial intelligence (AI) in education has opened avenues for transformative teaching and learning experiences, particularly in the arts and humanities. This submission explores the development of two AI-driven classroom tools: Chabot and interactive timelines. These tools immerse students in storytelling and historical exploration, fostering critical thinking, creativity, and interdisciplinary collaboration. The Chabot simulates conversations with historical figures or cultural narrators, providing AI-generated responses enriched with contextual details and multimedia content. The interactive timeline offers dynamic visualizations of historical events, enhanced by AI-generated summaries, audio clips, and visual aids. These tools integrate project-based learning methodologies, promoting critical thinking, …

Non-Invasive Near-Field Microwave Sensors For Industrial Internet Of Things Applications, Abirami K

Theses and Dissertations

The industrial sector has been revolutionized by Industrial Revolution 4.0 with the advent of the Internet of Things (IoT) which integrates the physical environment using smart sensors and Artificial Intelligence (AI) mechanisms. This demands the design of smart sensors and actuators to improve the quality of services in Industrial IoT (IIoT). The sensor design using the microwave resonating principle has attracted the research and industrial community for portable, non-invasive, non-destructive and hygienic means to evaluate the quality of substances in the food and farming industry. The microwave planar sensor has advantages in terms of low footprint, low cost, and ease …

Anion Exchange Membrane Durability For Electrochemical Co2 Reduction In Membrane Electrode Assembly Cells, Soundarzo Tasnim

LSU Master's Theses

The electrochemical reduction of CO₂ using membrane electrode assembly (MEA) cells has emerged as a promising approach for carbon capture and conversion into valuable products. This study investigates the degradation mechanisms of anion exchange membranes (AEMs) in CO₂ reduction applications, focusing on Sustainion X37-50, PiperION, and FAA-3-50. The research analyzes the impact of chemical and mechanical degradation on membrane performance, highlighting key stability challenges in long-term operation. Fourier transform infrared spectroscopy (FTIR) and electrochemical impedance spectroscopy (EIS) were employed to monitor functional group stability and ionic conductivity loss over extended operation. The results indicate that hydroxide-induced degradation leads to nucleophilic …

Exact Solutions Of M-Fractional Complex Ginzburg-Landau Equation Via Two Analytical Methods, Nematollah Kadkhoda, Mojtaba Baymani, Maad M. Mijwil, Mostafa Abotaleb

Iraqi Journal for Computer Science and Mathematics

This article investigates the M-fractional complex Ginzburg-Landau (CGL) equationby utilizing the modified simplest equation method and the modified G'G-expansion method. The CGL holds significant importance in the realm of oscillatory phenomena and optical fibers. By implementing a fractional complex transformation, the M-fractional CGL equation is transformed into an ordinary differential equation (ODE).By employing these methodologies, bright periodic solutions, periodic solutions, and dark wave solutions relevant to phenomena witnessed in nonlinear optics or plasma environments are ascertained.It is demonstrated that these methods are very powerful and efficient to solve many fractional differential equations.

Reason for Expression of Concern: …

From Industrial Automation To Intelligent Automation: The Impact Of Iiot On Process Control - A Review?, Ali S. Allahloh, Mohammad Sarfraz, Duraid Y. Mohammed, Nadeen Khaleel Ibrahim, Hayder Hussein Thary

Iraqi Journal for Computer Science and Mathematics

The Industrial Internet of Things (IIoT) is reshaping process control, turning torrents of plant data into near-instant insight. Field evidence already shows unplanned-downtime cuts of 55%, maintenance-budget savings of 40%, and gains in overall-equipment-effectiveness of roughly 15%; nevertheless, fewer than 30% of facilities have pushed beyond pilot scale to full, always-on predictive maintenance. To clarify why, this review screens 312 Scopus records published between 2010 and 2023, then subjects 62 peer-reviewed studies and a broad set of industry reports to deep content analysis, bibliometric mapping, and thematic clustering.The results reveal four tightly connected research fronts—IIoT/Industry 4.0 core technologies, classical process-control …

Soft-Polymeric Contact Lenses Brands Evaluation According To User Preferences, Lina M. Shaker, Wan Nor Roslam Wan Isahak

AUIQ Technical Engineering Science

The development of soft-polymeric contact lenses (SPCLs) has significantly enhanced vision correction by integrating advanced polymeric materials with optimized optical properties. This study examines the impact of refractive index (RI), oxygen permeability (Dk/t), and water content (EWC%) on visual quality and ocular health, correlating material properties with user-reported experiences. A survey of 5,585 medical SPCL users revealed that 31% experienced ocular fatigue and redness, often linked to optical aberrations and replacement frequency. Notably, commercially available SPCLs exhibit RI values ranging from 1.37 to 1.43, deviating from the natural ocular tissue RI (∼1.33), which contributes to light distortions and reduced visual …

Internet Of Things In Sustainable Agriculture Systems, Ataguba E. Hillary, Ayodeji A. Okubanjo, Nurudeen. S. Lawal, Abisola A. Olayiwola

AUIQ Technical Engineering Science

The agriculture industry has evolved toward intelligent, data-driven processes due to the growing need for food worldwide, environmental sustainability, and effective resource use. A thorough analysis of smart agriculture as a game-changing element of the industry 4.0 revolution is provided in this study, with a focus on the incorporation of Internet of Things (IoT)-based technologies for sustainable farming. To optimize agricultural processes including irrigation, crop health monitoring, climate and weather tracking, animal management, and disease detection, it investigates the functions and uses of smart sensors and IoT devices. The study demonstrates how smart agriculture may meet important issues like food …

Biosynthesis Of Metallic Nanoparticles Using Plant Extracts: Mechanisms, Advances, And Sustainable Applications, Alice Njolke Mafe, Great Iruoghene Edo, Patrick Othuke Akpoghelie, Endurance Fegor Isoje, Ufuoma Augustina Igbuku, Joseph Oghenewogaga Owheruo, Arthur Efeoghene Athan Essaghah

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Growing concerns over the environmental and health impacts of conventional nanoparticle synthesis have driven a shift toward green, plant-based methods. This review highlights the biosynthesis of nanoparticles using plant extracts as a sustainable, economical and non-toxic alternative. Plant-derived phytochemicals such as flavonoids, phenolics, and alkaloids serve dual roles as natural reducing and stabilizing agents, enabling the production of nanoparticles typically ranging between 10 and 100 nm. Several studies have demonstrated up to 80% yield improvement when using optimized extracts from plants like Azadirachta indica and Ocimum sanctum. The review outlines recent progress, including the use of novel botanical sources, …

Synthesis And Characterization Of Temperature- And Ph-Responsive Pia-B-Pnipam@Fe3O4 Nanocomposites, Swati Kumari, Cayla Cook, Fatema Tarannum, Erick Salvador Vasquez-Guardado, Olufemi Ogunjimi, Keisha B. Walters

Chemical and Materials Engineering Faculty Publications

Stimuli-responsive polymers (SRPs) have garnered significant attention in recent decades due to their immense potential in biomedical and environmental applications. When these SRPs are grafted onto magnetic nanoparticles, they form multifunctional nanocomposites capable of various complex applications, such as targeted drug delivery, advanced separations, and magnetic resonance imaging. In this study, we employed a one-step hydrothermal method using 3-aminopropyltrimethoxysilane (APTES) to synthesize APTES-modified Fe₃O₄ nanoparticles (APTES@Fe₃O₄) featuring reactive terminal amine groups. Subsequently, via two consecutive surface-initiated atom transfer radical polymerizations (SI-ATRP), pH- and temperature-responsive polymer blocks were grown from the Fe₃O …

Research Of Hereditarily Deformable Structures Under Seismic Impacts, Abdali Abdukarimov, Kazbek Nuratdinov

Technical science and innovation

This article examines the responses of a structure to both single-component and multi-component seismic impacts if they are generally described by three linear displacements and three rotations of the foundation relative to three orthogonal axes.

A mathematical apparatus has been created that allows developing statistical theories of seismic resistance for studying hereditarily deformable structures under random seismic impacts. Using impulse transition functions, having established the explicit form of the reaction of hereditarily deformable structures to an arbitrary form of random disturbance, it is possible to determine: the mathematical expectation and moments of the outgoing process; correlation functions; spectral densities, i.e. …

Research On Geological Complications Occurring During Drilling Operations At Uzbekneftegaz Jsc Wells, Otabek Rajabovich Eshmurodov, Komilxodja Anvarxodjayevich Raximov, Shaxnoza Hikmatullayevna Mirsaatova, Tolib Olimovich Komilov, Sherali Halloqovich Umedov

Technical science and innovation

This article presents an analysis of maintaining wellbore stability, preventing pack-off formation, stuck pipe incidents, and drilling fluid losses. A technology aimed at ensuring successful and high-quality trouble-free well drilling is analyzed and recommended. Based on data obtained from the Surkhandarya Basin fields, many wells were not drilled to the designed depth. Geophysical data from studied fields indicate that pore pressure retained in clay formations causes wellbore instability. These data also help to identify zones prone to collapse; however, the direct measurement of pore pressure in such formations remains impossible. This research was primarily conducted in the Ustyurt region, one …

Improving The Methodology Of Complex Organization Of Rural Areas Based On Gis Technologies, Anvarjon Pardaboyev

Technical science and innovation

In the world, scientific research is being conducted aimed at improving the efficiency of complex organization of rural areas by utilizing modern geographic information systems (GIS) and remote sensing data. These studies focus on shaping the land allocated to these areas, organizing their activities, and forming the basis of cartographic information. Additionally, the use of modern GIS and remote sensing data has become widespread in the complex organization of rural areas in many countries. This method stands out for its effectiveness in organizing regions today.

In our republic, comprehensive measures are being implemented to consistently develop production through structural, institutional, …

Reduction-Driven Mobilization Of Structural Fe In Clay Minerals With High Fe Content, Anke Neumann, Luiza Notini, W. A.P.Jeewantha Premaratne, Drew E. Latta, Michelle M. Scherer

Michigan Tech Publications

Clay minerals contain significant amounts of Fe in their alumosilicate framework, and this structural Fe can be reduced and re-oxidized, constituting a potentially renewable source of reduction equivalents in sedimentary environments. However, dissolution and/or clay mineral transformations during microbial Fe reduction contradict this concept. Here, we investigate how Fe reduction and re-oxidation affect the propensity of Fe to be released from the clay mineral structure and use selective sequential extractions in combination with Mössbauer spectroscopy. Negligible amounts of Fe were released in the sequential extraction of high Fe content clay minerals NAu-1 and NAu-2. Once aqueous Fe(II) was added as …

Leveraging Machine Learning For Accurate Prediction Of Nba Player Salaries, Ye Cheng, Yan Song, Mingqi Wang

Iraqi Journal for Computer Science and Mathematics

Basketball players in the NBA are renowned for their talent, athleticism, and commitment to the game. NBA players may make enormous sums of money; however, they vary greatly. Rookie agreements begin at a lower price and go up following performance. NBA players’ pays are influenced by several factors. Because they influence games and the success of the club, exceptional players fetch larger compensation. This study employs Machine Learning (ML) techniques, including Lasso Regression and Random Forest Regression (RFR) models to analyze wage trends, enhanced by the Slime Mould Algorithm (SMA) and Artificial Rabbit Optimization (ARO) for accuracy. The goal is …

Green Energy Production Using A Hydro-Generator In An Underground Mine Water Pumping Station – Case Study, Andrzej Chmiela, Beata Barszczowska, Eugeniusz Krause, Arkadiusz Kulawik, Adam Smolinski

Journal of Sustainable Mining

The paper analyses the experience of almost one year of production of “green” electricity by a hydro-generator using a constant water drop in the pits of mine water pumping stations. The main technical, economic and environmental parameters obtained by the applied technical and organisational system are presented. Equipping the mine water pumping station with a hydro-generator proved to be a good investment. The investment offers a relatively low risk with a relatively low initial outlay and a relatively short payback period of about 4 years. The innovative use of typical but modern elements in an atypical operating environment has not …

Machine Learning Techniques For Optimizing The Efficiency And Costs Of Drill Steel In Sandstone And Granodiorite: A Case Study In Peru, Marco Cotrina, Jairo Marquina, Jose Mamani, Solio Arango, Eusebio Antonio, Eduardo Noriega, Teofilo Donaires, Dominga Cano

Journal of Sustainable Mining

This research aims to optimize the efficiency and costs of drilling steel in sandstone and granodiorite rocks using machine learning techniques in a Peruvian mine. Predictive models, including random forest (RF), XGBoost (XGB), decision trees (DT), and artificial neural networks (ANN), were applied, along with optimization algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), and simulated annealing (SA). A dataset of 705 entries was analyzed, focusing on drill bit wear, percussion and rotation pressures, and cost per meter drilled. Model performance was evaluated using R², RMSE, MAE, and MAPE. The ANN model …

Understanding Risk For Industrial Emergency Response Teams, Terill A. St Martin

ASEM Capstones

2025 ASEM 620 Capstone Project

Gis-Based Swat Modeling For Surface Runoff Assessment To Support Urban Flood Resilience In Central Java, Indonesia, Putri Amalia Sholichah Ms., Endah Sulistyawati, Susana Paulina Dewi

Smart City

Surface runoff significantly contributes to environmental hazards such as floods in Indonesia, including in Borobudur District. Based on watershed delineation, the administrative area of Borobudur District is predominantly located within the Sileng Subwatershed. The rehabilitation zones managed by PT Adaro Indonesia are located in several specific areas within this subwatershed. This study utilizes the SWAT (Soil and Water Assessment Tool) model integrated with GIS (Geographic Information System) to simulate surface runoff quantitaively in the Sileng subwatershed, part of the Progo watershed in Central Java Province. SWAT is applied in this research to simulate surface runoff in both watershed and …

Creating Blood Analogs To Mimic Steady-State Non-Newtonian Shear-Thinning Characteristics Under Various Thermal Conditions, Hang Yi, Alexander Wang, Christopher Wang, Jared Chong, Chungyiu Ma, Luke Bramlage, Bryan Ludwig, Zifeng Yang

Mechanical and Materials Engineering Faculty Publications

Blood analogs are widely employed in in vitro experiments such as particle image velocity (PIV) to secure hemodynamics, assisting pathophysiological diagnoses of neurovascular and cardiovascular diseases, as well as pre-surgical planning and intraoperative orientation. To obtain accurate physical parameters, which are critical for diagnosis and treatment, blood analogs should exhibit realistic non-Newtonian shear-thinning features. In this study, two types of blood analogs working under room temperature (293.15 K) were created to mimic the steady-state shear-thinning features of blood over a temperature range of 295 to 312 K and a shear range of 1~250 s−1 at a hematocrit of ~40%. Type …

Sidesense: Robust Physiological Motion Detection Via Mmwave Joint Communication And Sensing Systems With Multiple Beams, Mohammed Shadman Ishrak, Jannatun Noor Sameera, Alvin Yang, Yanjun Pan, Yao Zheng, Olga Boric-Lubecke, Victor M. Lubecke

Electrical Engineering and Computer Science Faculty Publications and Presentations

A 28-GHz multibeam joint communication and sensing system called SideSense is presented, in which a line-of-sight (LoS) beam is used to maintain reliable communication, while other sensing beams are used to enhance physiological motion detection. SideSense decodes the motion frequency and shape from the channel state information (CSI) by first tuning the gain ratio and phase differences between the LoS communication beam and non-LoS (NLoS) beam to maximize the sensing signal-to-noise ratio (SSNR) without significantly degrading the communication channel capacity (CCC). Analytical results based on a bistatic model are presented to show a gain ratio of around 1 and a …

Feasibility Of Using Recycled Waste Plastic In Concrete Pavements In Nebraska, Amasi Hajahja

Department of Construction Engineering and Management: Dissertations, Theses, and Student Research

Waste plastic (WP) is a growing environmental concern due to its non-biodegradable nature, large-scale production, and harmful impact on natural resources. With nearly 75% of WP in the United States ending up in landfills, effective recycling strategies are urgently needed. In parallel, the limited availability of natural aggregates highlights the need for alternative materials in concrete construction. This study investigates the feasibility of using recycled waste plastic (RWP) in concrete mixtures, both as aggregates and fibers for rigid pavement applications in Nebraska. Concrete mixtures were prepared by partially replacing natural fine aggregates with recycled plastic aggregates (RPA) at replacement levels …

Experimental Analysis Of Satellite Operator Training Using Game-Based Virtual Reality Simulation, Lana Laskey

Doctoral Dissertations and Master's Theses

Satellite data plays a vital role in modern global infrastructure by enabling communications, navigation, and weather forecasting. As demand for satellite technology grows, so does the need for highly trained satellite ground operators. Traditional training regimens for satellite operators employ simulation using two-dimensional computer console displays paired with the varied ability of trainees to generate abstract mental imagery of the scenario. However, this development of mental imagery imposes a considerable learning curve and cognitive workload on the trainee, which may negatively impact the user experience and knowledge gained during the training scenario.

This experimental study investigated the effects of game-based …

Artificial Intelligence In Everyday Life, Sally Brown

Artificial Intelligence Exhibit

This section explores using AI in everyday life including decision making.