Digital Commons Network^™

Building China’S Space Station Intellectual Property Protection System: Strategic Demands, International Rule Competition, And Institutional Pathways, Xiao Youdan, Bing Xiao, Yi Zheng, Xianghui Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

As China’s space station transitions into its application and development phase, on-orbit research outputs are entering a period of concentrated yield. The protection of space station intellectual property (IP) has evolved from a theoretical proposition into a pressing institutional demand. For decades, developed economies, notably the United States and European nations, have dominated the development of international space IP rules. Their core approach extends the traditional principle of territoriality through “legal fiction”, establishing jurisdiction based on the “State of registry’s jurisdiction”—that is, treating space objects as extensions of the registering State’s territory, thereby extending the reach of domestic IP law …

Policy Reflections On Promoting Strategic Oriented Basic Research In China: Insights From The U. S. Department Of Energy’S Basic Research Funding System, You Yu, Yun Liu, Wenneng Zhou

Bulletin of Chinese Academy of Sciences (Chinese Version)

Strategy-oriented basic research is a key pathway to driving major original breakthroughs at the frontiers of science, serving national strategic needs, and securing a leading position in global science and technology. It is also a vital pillar for achieving high-level self-reliance and self-strengthening in science and technology and enhancing the capacity for original innovation. Faced with the urgent need to build a science and technology powerhouse and achieve breakthroughs in key core technologies, China has gradually improved its organizational framework for advancing strategy-oriented basic research and has established a solid foundation for policy support and resource allocation. Nevertheless, when measured …

From Resource Mapping To Mechanism Identification: A Lunar Tethered-Satellite Exploration System And China’S Strategic Opportunities, Wei Yong, Zhiping He, Yanchu Yang, Ke Wang, Junqiang Zhu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Lunar exploration is undergoing a paradigm shift from resource mapping to mechanism identification. Key processes, such as the modulation of volatiles by magnetic anomalies and the contribution of Earth wind to surface hydration, require strictly synchronized observations of magnetic-field gradients, particle fluxes, spectrally detected volatiles, and subsurface hydrogen within the same spatiotemporal window. However, a still-unfilled “near-lunar-surface intermediate layer” gap exists between conventional single-spacecraft orbiters and landed rovers: the capability for multi-altitude, multi-parameter, strictly synchronized process observations. A tethered dual-satellite system, consisting of a main satellite and a subsatellite connected by a 5–10 km short tether, naturally provides a dual-altitude …

Black Soil Organic Carbon Plays A Critical Role In Ensuring Food Security, Zhang Xingyi, Qingsong Shen, Mingming Guo, Na Li, Qiang Chen, Wei Hu, Jianye Li, Yimin Chen, Yansheng Li, Xiaobin Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Carbon-rich Black Soils are an important natural resource ensuring China’s food security, and their soil carbon stocks are closely related to grain production capacity. Based on nearly two decades of regional survey data and long-term field experiments, this study systematically investigated the dynamics of soil organic matter (SOM), its response relationship with crop productivity, and strategies for soil fertility improvement. The results showed that soil carbon stocks in the topsoil (0–20 cm) of the Black Soil region in Northeast China have declined by approximately 60%. In 2019, the regional average SOM content was approximately 36 g/kg and was decreasing at …

Material Affecting Design (Mad): How Living Biomaterials Reshape Computational Design Through Biological Transformation, Abolhassan Pishahang

Electronic Theses and Dissertations 2020 - Present

Living biomaterials grow during fabrication, making strategy selection a design problem distinct from conventional form-making. This dissertation investigates how Pleurotus ostreatus mycelium and Triticum aestivum plant roots reshape the computational design process through their biological behavior. The central argument is that when a designer works with living matter, the material participates in forming, changing the decisions made, the strategies chosen, and the framework required. This relationship between biological transformation and computational design is named the Material Affecting Design (MAD) framework. The research was conducted through a research-through-design methodology grounded in American pragmatist philosophy, particularly the work of Dewey, James, and …

Ai-Powered Knowledge Engines As Research Infrastructure For Systematic Knowledge Discovery, Gary Welz

Publications and Research

This paper proposes knowledge engines as a framework for understanding how intelligent systems — both human and artificial — systematically discover, integrate, and generate knowledge. We argue that history’s greatest scientific minds functioned as knowledge engines, processing information through iterative cycles of ingestion, analysis, synthesis, and communication, guided by curiosity and willingness to challenge established beliefs.

We propose a taxonomy of nine integrated capabilities — ingestion, digestion, analysis, calculation, comparison, connection, association, analogy, and multimodal communication — that any serious knowledge engine must combine systematically. The argument is deliberately integrative: achieving ambitious research goals requires orchestrating all nine capabilities within …

Community Energy Storage: A Framework For Enhanced Energy Trading And Cost Efficiency, Bassam Al-Hanahi, Aziz

Research outputs 2022 to 2026

The integration of renewable energy sources (RES) into modern electricity grids introduces substantial challenges, primarily due to their inherent variability and the critical need for real-time supply-demand balancing. Community Battery Storage system (CBSS) has emerged as an effective strategy to address these challenges, enhancing grid stability and providing localized economic benefits through optimized energy storage and management. This paper presents a novel energy trading framework that prioritizes community welfare by balancing the reduction of user energy costs with CBSS revenue generation. The proposed model employs a multi-objective optimization approach, utilizing the epsilon-constraint method to strike an optimal balance between minimizing …

Bandwidth-Aware Routing Protocol Monitoring For Software-Defined Network Traffic Engineering, Nupur Kanoi Dutta, Venkata Lakshmana Murthy Varahabhotla

Defensive Publications Series

The present publication describes a centralized network orchestration approach that enhances routing protocol monitoring streams with real-time link-bandwidth metadata. By embedding bandwidth data directly into monitoring messages, the system bypasses edge router routing tables to conserve memory and facilitate dynamic load balancing without out-of-band telemetry correlation.

Keywords: Software-Defined Networking, Traffic Engineering, Routing Protocol Monitoring, Link Bandwidth, Metadata, Telemetry, Load Balancing.

Gender Aspects Of Rihla, El Gharoussi El Mobarik

SOROUD: The journal of Literacy Criticism

Controversially contested, rihla is a genre by itself for the very reasons it is contested for. Anchored in its Arab-Muslim culture, the hijra of the prophet, the cult of pilgrims, and scientific peregrinations, flourished in the Muslim West: it is primarily a Magribine genre. No genre enjoys absolute purity, so does the rihla. It has links with geographical literature, fahrâsa and autobiography. The writing of the narrative in linear form and circular content systematically challenges didactics, pleasant and ethical digressions, but also books: the genre is intertextual.

Fundamental Surface Chemistry And Mechanistic Insights Into The Flotation Of Tellurium-Bearing Pyrite From Sulfide Tailings, Mulenga Chibesa, Fardis Nakhaei, Lana Alagha

Mining Engineering Faculty Research & Creative Works

Tellurium (Te), a critical element for photovoltaic technologies, commonly occurs as a trace constituent in pyrite, which is typically depressed during copper porphyry flotation process and discarded to tailings. Selective flotation of pyrite offers a promising route to enhance Te production within the copper supply chain, although its recovery is often limited by surface oxidation and hydrophilic passivation. This study establishes a mechanistic framework to improve flotation of Te-bearing pyrite from copper sulfide tailings. Micro flotation tests designed using Box–Behnken response surface methodology revealed significant nonlinear and synergistic effects of pH, potassium amyl xanthate (PAX), methyl isobutyl carbinol (MIBC), and …

From Burden To Support: Validating An Ai-Based Dementia Care Voice Assistant App, Modupe Akintomide, Xinyue Zhang, Divya Iyer, Madison Ellison, Sumaya Tamenne

International Nursing Research Congress (INRC)

The prevalence of behavioral symptoms, such as wandering and agitation, in over 90% of persons with Alzheimer's disease and related dementias (Pw-ADRD), with approximately 83% residing in home-based settings [1-3], underscores the urgent need for effective interventions to support informal caregivers. These caregivers are essential for maintaining quality care for Pw-ADRD, yet they frequently encounter substantial challenges in managing behavioral symptoms [4], revealing a significant gap in available resources and support systems.

To address this gap, we developed a prototype for an AI-based Dementia Care Voice Assistant (AI-DECAVA), powered by a large language model (LLM). The system is designed to …

Ai-Powered Gamified Extended Reality Training For Dementia Care Competence In Healthcare Students, Modupe Akintomide, Joy Li, Toi-Ann Kingsby, Dandre Williamson

International Nursing Research Congress (INRC)

The development of dementia care competence among healthcare students remains limited by the scarcity of experiential training opportunities for managing behavioral and psychological symptoms [1]. Traditional curricula often fail to provide sufficient, high-fidelity practice for the complex, emotionally charged interactions characteristic of Alzheimer’s Disease and Related Dementias (ADRD) care [2].

To address this gap, we developed an AI-powered, Gamified Extended Reality (XR) Dementia Behavioral Training App. This immersive platform simulates authentic caregiving encounters with persons living with ADRD. It employs an AI-generated animated patient agent and integrates adaptive difficulty scaling within clinically relevant, scenario-based modules to mirror the complexity of …

Can An Ai System Be Creative? A Critical Perspective From Art And Engineering, Ivan Magrin-Chagnolleau

Presidential Fellows Articles and Research

This paper examines the question of whether artificial intelligence (AI) systems can be creative, approached from the dual perspective of a researcher trained in electrical engineering, pattern recognition, machine learning, and neural networks, who has also spent most of his life engaged in the arts as actor, stage and film director, writer, composer, and visual artist, and in philosophy. Drawing on Margaret Boden’s foundational framework — both her three properties of creativity (novelty, surprise, and value) and her three types of creative processes (combinatorial, exploratory, and transformational) — the paper argues that AI systems are structurally incapable of creativity in …

Leveraging Ai-Driven Financial Resource Identification In Dementia Caregiving-Development Phase, Modupe Akintomide, Xinyue Zhang, Divya Iyer

International Nursing Research Congress (INRC)

Informal dementia caregiving imposes a substantial financial burden on families, compounded by systemic factors such as insurance coverage gaps, prohibitive long-term care costs, and the administrative complexity of navigating public and private benefit programs [1-2].

To address this challenge, we developed an artificial intelligence (AI)-driven application designed to streamline access to financial resources. The system is built on a curated dataset that links multidimensional caregiver profiles with relevant financial support programs. Profiles, encoded as input feature vectors, are derived from structured questionnaire responses capturing variables such as employment status, weekly caregiving hours, out-of-pocket medical expenses, and insurance coverage. Each profile …

Structural Design And Finite Element Analysis Of A 54 Ton Freight Wagon Bolster Test Rig Under Vertical Center Plate Load, Shandy Dwi Prayoga, I Dewa Gede Ary Subagia, I Ketut Adi Atmika, Abdul Rohman Farid, Yunior Lanang Satrio

Journal of Mechanical Engineering Science and Technology (JMEST)

Bolster is one of the bogie's components that receives direct loading from the car body and freight movement. One of the problems that occurs in the bolster is permanent deflection during vertical and transversal static loading. Therefore, a static loading test is required to evaluate the structural strength of the bolster. During the static loading test, a rig is required to hold the bolster so that the bolster is in a fixed position. The rig owned by PT. INKA (Persero) showed a plastic deformation at the vertical center plate load (VCP 5.22P). Therefore, a modified design of the rig is …

Visual-Motor Coordination In Automated Driving: Effects Of Temporal Urgency And Motor Demand On Intervention Behavior, Kailin Cui, Jonathan Chiu, Pranav Meda, Gaojian Huang, Yue Luo

Faculty Research, Scholarly, and Creative Activity

Occupational Applications: This study shows that time-critical automation intervention requests increase drivers’ visual-motor demands, reflected in measurable changes in driving performance and posture (i.e., limb engagement and trunk positioning) during transitions of control. These responses indicate that maneuver urgency and takeover timing can place elevated biomechanical and coordination demands on drivers, particularly in work-based automated driving. For ergonomics and human factors practice, the findings underscore the need to design automated transportation systems (e.g., ridesharing services) that align request timing with operators’ physical and perceptual capabilities. In occupational settings such as automated shuttles and fleet-supervised vehicles, intervention requests should provide adequate …

Look Out For Our Kind, Christof Koch

Animal Sentience

Strongly supportive overall of Birch’s broad tent Sentience Project, I offer an alternative dyadic, single-class, two-stage process based on estimating the probability for sentience, and the associated confidence, for any individual or taxonomic group. I criticize Birch’s narrow computational framework when addressing the question of algorithmic sentience; there are alternative approaches.

Reproduction Beyond Benchmarks: Constbert And Colbert-V2 Across Backends And Query Distributions, Utshab Kumar Ghosh, Ashish David, Shubham Chatterjee

Computer Science Faculty Research & Creative Works

Reproducibility must validate architectural robustness, not just numerical accuracy. We evaluate ColBERT-v2 and ConstBERT across five dimensions, finding that while ConstBERT reproduces within 0.05% MRR@10 on MS-MARCO, both models show a drop of 86-97% on long, narrative queries (TREC ToT 2025). Ablations prove this failure is architectural: performance plateaus at 20 words because the MaxSim operator's uniform token weighting cannot distinguish signal from filler noise. Furthermore, undocumented backend parameters create an 8-point gap due to ConstBERT's sparse centroid coverage, and fine-tuning with 3x more data actually degrades performance by up to 29%. We conclude that architectural constraints in multi-vector retrieval …

Lost Spirits: An Interactive Encounter With A Fractured Soul, Angela Wu

Faculty Research, Scholarly, and Creative Activity

Lost Spirits is a game prototype developed in the Godot engine, utilizing Gemini Pro, a Large Language Model (LLM) for rapid code generation and a local Small Language Model (SLM), Gemma 3 4B, to power AI-driven NPCs (non-player characters). The study investigates whether LLMs can democratize game development for non-technical artists and if real-time AI-driven character interaction can sustain a meaningful narrative arc without traditional branching scripts. Preliminary results suggest that AI significantly accelerates the technical pipeline—enabling the development of a functional 3D prototype within a two-month window—and facilitates rich, responsive character interactions.

One-For-All Community Search On Unseen Graphs, Mo Li, Zhaosong Zhao, Linlin Ding, Renata Borovica-Gajic, Zhongming Yao, Jianxin Li

Research outputs 2022 to 2026

Community search is a fundamental graph-based retrieval problem that aims to identify a query-dependent subgraph whose nodes exhibit strong internal connectivity. While recent learning-based methods improve retrieval effectiveness via graph representation learning, they follow a ''one-use-one-train'' paradigm that requires retraining or fine-tuning for each target graph, leading to high data dependency, high training costs, and limited generalization. To handle this, we propose OFA-CS, a ''one-for-all'' community search framework trained once on source datasets and directly deployed to arbitrary unseen graphs without retraining or fine-tuning, while preserving strong performance. Specifically, we introduce a Spectral-Aware Feature Alignment module to unify feature dimensionality …

The Female Voice, The Male Gaze: Ai Colonial Paradox And African Feminist Futures, Aishat Olayetunde Isiaq Mrs

ELO (un)supervised 2026

At ELO 2026, I propose to examine the feminization of artificial intelligence as a deliberate design choice rooted in a long history of technology and service labour. From the “Hello Girls” of early telephone switchboards to the default female voices of Siri, Alexa, and contemporary chatbots, technology has repeatedly been paired with performed femininity, framing assistance as innate, emotional, and subservient. This paper will critically analyze the paradoxical gendering of artificial intelligence, in which AI assistants are feminized to evoke care and service, while the algorithmic structures behind these systems remain embedded in patriarchal and colonial logics. Drawing on African …

The Question Is A Node: Online Quizzes As Interactive Non-Fiction, Michael Merriam

ELO (un)supervised 2026

The quiz is the most widely deployed form of interactive text in education. Even when it is not digitally administered, it presents a prompt, receives a response, and contains within it a formula determining the consequences of that response. A wrong answer is taken as a failure of learning (not mere recall) and, by virtue of their quasi-digital objectivity, a batch of low quiz scores might warn of difficulty in reaching benchmarks. Ergo, quizzes embody the automation of the supervisory function of the instructor, and the supervision of curricula. 

Quiz questions have something in common with nodes in digital interactive …

Vibe Coding: Ai, Digital Text Recycling, And The Remediation Of Digital Poetry, Yohanna Joseph Waliya

ELO (un)supervised 2026

This paper theorises Vibe Coding as a novel method of AI-assisted creative practice within electronic literature. Vibe Coding describes an affective mode of communication with AI that enables coding via natural-language prompts, in which the author collaborates with generative AI systems to recycle, remediate, and reconfigure existing digital texts into new poetic forms, including interactive animations. Rather than treating code as a fixed procedural logic, Vibe Coding focuses on rhythm, intuition, and affect as central compositional forces shaping both textual production and computational interaction. Relying on theories of remediation, digital recycling, and posthuman authorship, the paper examines how AI functions …

Depth-Dependent Characterization Of Vertical Cracks In Concrete Using Lamb Wave Active Sensing, Nontawat Srisapan, Theo Asumah, Roohollah Askari

Michigan Tech Publications

Vertical cracks in concrete present a major challenge for many conventional nondestructive testing methods (NDT) and structural health monitoring (SHM) methods. Elastic wave-based approaches offer strong interaction with crack faces and depth sensitivity; however, their effectiveness is often limited by the lack of repeatable and tunable excitation sources. Repeatability is critical because scattered and attenuated signals require stacking to achieve adequate signal-to-noise ratios, while tunability is essential because key crack attributes are frequency-dependent and must be probed at appropriate wavelengths. In this study, we develop an active sensing system utilizing a linear impact actuator as a repeatable and tunable mechanical …

A Bayesian-Optimized Ensemble Deep Learning Framework For Automated Detection And Classification Of Retinal Diseases In Ghana Using Oct Images, Gifty Duah, Eric Nyarko, Gideon Nana Amo, Theophilus Dwamena Frimpong, Anani Lotsi

School of Mathematical & Statistical Sciences Faculty Publications

Retinal diseases pose a significant global health challenge due to their potential to cause severe visual impairment and blindness. This study aimed to develop a robust deep learning ensemble framework for the automated detection and classification of retinal diseases from optical coherence tomography (OCT) images. This study used OCT images from WATBORG Eye Services in Ghana, including glaucoma, macular edema, posterior vitreous detachment (PVD), and healthy eyes. The data preprocessing steps included augmentation, resizing, and one-hot encoding. The dataset was divided into training (56%), validation (14%), and testing (30%) sets using stratified sampling. Six convolutional neural network (CNN) architectures, Visual …

Depth-Dependent Characterization Of Vertical Cracks In Concrete Using Lamb Wave Active Sensing, Nontawat Srisapan, Theo Asumah, Roohollah Askari

Michigan Tech Publications

Vertical cracks in concrete present a major challenge for many conventional nondestructive testing methods (NDT) and structural health monitoring (SHM) methods. Elastic wave-based approaches offer strong interaction with crack faces and depth sensitivity; however, their effectiveness is often limited by the lack of repeatable and tunable excitation sources. Repeatability is critical because scattered and attenuated signals require stacking to achieve adequate signal-to-noise ratios, while tunability is essential because key crack attributes are frequency-dependent and must be probed at appropriate wavelengths. In this study, we develop an active sensing system utilizing a linear impact actuator as a repeatable and tunable mechanical …

Spatial Identity In Transition: Revitalizing Surakarta’S Heritage Markets Through Community-Based Placemaking, Eko Nursanty, Sri Mulyani, I Wayan Andhika Widiantara, Arturo Galay Cauba

Journal of Environmental Science and Sustainable Development

Traditional markets are essential socio-cultural infrastructures in heritage cities, shaping everyday interactions, economic life, and collective memory. In Surakarta, four historic markets—Pasar Gede, Pasar Klewer, Pasar Legi, and Pasar Triwindu—sustain the city’s urban identity. However, rapid modernization, commercial restructuring, and shifting consumer behavior have disrupted their spatial and symbolic continuity, raising concerns about the erosion of cultural meaning. Previous studies examined traditional markets mainly from economic or architectural perspectives, rarely exploring how their multidimensional identity evolves under urban transformation. This study investigates how spatial, social, symbolic, and environmental dimensions collectively shape market-based authenticity and the urban identity of Surakarta. A …

Archival Storytelling: Remembering Our Digital History, Dene Grigar

ELO (un)supervised 2026

In When We Are No More: How Digital Memory Is Reshaping Our Future, Abby Smith Rumsey argues that memory is required for survival and impacts not only the survival of a species but of that species’ culture. Needed in this “Age of Matter,” as she calls it, are documentation practices that address the way in which physical and digital memory systems can be combined and harnessed to preserve human experience (13).

This paper addresses Rumsey’s challenge. Using the physical and digital archives held in The NEXT’s collections, it introduces archival storytelling as a method for documenting and, thus, remembering …

Publications Relating To Mississippi, Unknown Authors

Journal of Mississippi History

No abstract provided.

Full Issue: Volume 4, Issue 1 - 2026

Bone Bulletin

i - Editors’ Note by Elijah Hoffman and Liam Gibbons

ii - Foreword by Dr. Alan Hilibrand

7 - Clinical Uncertainty in Digital Monitoring After Shoulder Arthroplasty by Abhi Pandey

10 - The Changing Value of Joint Arthroplasty Under the RVU System by Kiley Hamou

13 - SCALPEL TO ROBOT TO ALGORITHM: Robotics, Artificial Intelligence, and the Evolution of Spine Surgery by Mateja Stefanovic

18 - Suture-Free Nerve Repair in Upper-Extremity Surgery by Adam Gaughan

20 - The Impact of Wide-Awake Local Anesthesia No Tourniquet Surgery on Distal Radius Fracture Plating by Michael Carey

23 - Unicompartmental Versus Total Knee …