Digital Commons Network^™

Optical Integrated Sensing And Communication: Deep Reinforcement Learning-Based Beam Tracking For Dynamic Vehicle-To-Everything Networks, Akshat Sharan

Theses and Dissertations

Optical Wireless Communication (OWC) promises ultra-high bandwidth for vehicular networks but suffers from critical beam misalignment in dynamic environments. The emerging paradigm of Optical Integrated Sensing and Communication (O-ISAC) addresses this challenge by unifying the sensing and communication functions over a single shared optical aperture, enabling real-time environmental awareness to guide beam steering. However, the multi-objective, stochastic nature of this joint optimization problem renders classical closed-form controllers inadequate. This thesis proposes and evaluates a deep reinforcement learning framework for continuous beam tracking in a 2D vehicular O-ISAC scenario. We conduct a comprehensive comparative study of four state-of-the-art deep RL algorithms: …

Investigations Into Biophysical Mechanisms Of Amphiphilic Molecules At Protein And Membrane Interfaces, Samuel Richard Pennock

Theses and Dissertations

Amphiphilic compounds play a key role in chemical biology due to their ability to associate with biochemical complexes through a diverse set of noncovalent interactions. Interactions between amphiphiles and biological targets elicit a wide array of modulatory effects, structural stability, and activity. However, due to the inherent complexity of these interactions, there has yet to be a broadly predictive framework for determining whether a given amphiphile-target interaction will be beneficial or deleterious. This thesis seeks to advance the mechanistic understanding of amphiphile-target interactions by investigating two distinct but unified systems. In the first study, the effects of fatty acid ionic …

Using C/Μ Test To Investigate The Coding And Noncoding Regions To Identify Selective Pressures In Hiv-1 Virus., Annie Tran

Theses and Dissertations

Human immunodeficiency virus type 1 (HIV-1) is a single-stranded RNA retrovirus whose error-prone reverse transcriptase drives a high mutation rate, enabling adaptive mutations on drug target proteins that confer antiviral resistance and complicate long-term treatment. This study therefore aims to detect such adaptive mutations on HIV-1 drug target proteins using our novel analysis framework (c/µ) on 5,711 genomic sequences, with findings expected to inform timely therapeutic adjustments and guide the development of more robust antiretroviral strategies. In Chapter 1, our novel mathematical framework (c/µ) and the Near Neutral Unbalanced Selection Theory (NNUST), which posits that most mutations experience weak but …

Double-Scoring: Reliable Extraction Of Strong Lottery Tickets, Bryce Christopherson, Jack Baretz, Darian Colgrove, Salah Dandan

Mathematics Faculty Publications

The lottery ticket hypothesis proposes that large random neural networks contain sparse subnetworks that can match the performance of dense models after compara- ble training. A stronger version asserts that sufficiently overparameterized random networks contain subnetworks that are already accurate before any weight training. Existing theory establishes that such strong lottery tickets exist, but reliable ex- traction remains difficult. We revisit edge-popup, a frozen-weight score-training method for extracting strong tickets, and identify layerwise sparsity selection as a central bottleneck. We introduce double-scoring, an augmented score-space parameterization that replaces a layerwise sparsity search with optimization over enlarged score tensors. We prove …

Career: New Insights Into The Ancient Carbon Cycle From Siliceous Deep-Sea Sediments, Donald Penman

Funded Research Records

No abstract provided.

Ecological Gdp Of “Lucid Waters And Lush Mountains Are Invaluable Assets”, Wang Guangqian, Deyu Zhong

Bulletin of Chinese Academy of Sciences (Chinese Version)

Based on the concept of “lucid waters and lush mountains are invaluable assets”, this study investigates the theoretical connotation and accounting pathways of ecological GDP. (1) The core connotation of ecological value is elucidated from three dimensions—time, space, and civilization—and an economic quantification framework of principal–interest–interest rate is constructed. With four categories of ecological products as the foundation, the Green Certificate as the entitlement instrument, and a 5% annual simple interest rate as the accounting benchmark, ecological value is transformed from qualitative description to quantitative accounting. (2) The concept of ecological new quality productive forces is proposed, revealing its four-dimensional …

Building Ai-Native Innovation System To Drive Transformation And Innovation In Research Organization And Management Models, Hong Xuehai

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence (AI) is profoundly reshaping research paradigms. This study aims to analyze the intrinsic mechanisms through which AI empowers scientific research and its impact on the organizational management models of research. By summarizing what AI can and cannot do in empowering research, it reveals the current effectiveness and capability boundaries of AI in this domain. Based on the extraction of common core conditions for AI-empowered research and the deconstruction of typical cases of AI-enabled research organizational models, this study analyzes the differences between the organizational management model of AI-empowered research and traditional research organizational models. Furthermore, it proposes three …

Understanding And Foresight On Construction Of Foundation Model Industry Innovation Ecosystem, Liu Liu, Chunhui Jia, Yangfan Han, Qiqi Zhang, Jialin Li, Dayuan Li, Junpu Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Foundation models are a key vehicle driving artificial intelligence toward general intelligence, and their industrialization urgently requires support from a systematic and collaborative innovation ecosystem. This study focuses on the construction of the foundation model industry innovation ecosystem. It first reviews the frontier progress and identifies its essence as a complex innovation network featuring the three-dimensional synergy of technological, organizational, and industrial architectures, and then analyzes the architecture along the upstream, midstream, and downstream of the industrial chain: the upstream supports computing power and data, the midstream undertakes algorithmic innovation and platform services, and the downstream realizes multi-scenario value transformation. …

Construction Trends And Addressing Strategy Of Global Carbon Value System In View Of Chinese Enterprise, Xu Shuangqing, Liang Sun, Jianfeng Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

The global carbon value system represents a new consensus on values formed over decades of collective human action to address climate change. Its framework has been preliminarily established, with three dimensions—institutions, norms, and industries—forming a multidimensional space for expansion. Through this framework, the carbon value system can extend its influence to every aspect of human activity. At its core, the carbon value system involves reassessing the value of human activities and establishing new constraints for sustainable development. Consequently, enterprises must transform their traditional development models. For Chinese enterprises, the emergence of the global carbon value system during their pursuit of …

Insights And Implications Of Ai For Science Strategies Of Major Science And Technology Powers, Zhang Zhiqiang, Yawei Shao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence (AI) is transitioning from a research aid to a scientific discovery agent. The new paradigm of “AI + Science” (AI for Science, AI4S) – the intelligent science paradigm (or the fifth paradigm of science) – characterized by the deep integration of artificial intelligence into the entire process of scientific discovery, is rapidly emerging and becoming a “new agent” for intelligent and autonomous execution of scientific discovery and technological invention as well as a key force in reshaping the human knowledge production system and the global landscape of technological competition. The intervention of AI in the field of knowledge …

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 …

Planetary Health: Scientific Frontier For Harmonious Coexistence Between Humans And Nature, Zhu Yongguan, Jue Liu, Hua Zheng, Yaoyang Xu, Weiqi Zhou, Hongliang Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of deeply intertwined global environmental change, biodiversity loss, and health risks, Planetary Health is emerging as a new interdisciplinary field that is gradually becoming the scientific frontier for understanding harmonious coexistence between humans and nature. This study systematically reviews the evolution of Planetary Health from the “Planetary Boundaries” theory to a comprehensive disciplinary framework. Through a paradigmatic comparison with concepts such as public health, global health, and One Health, it reveals that the core breakthrough of Planetary Health lies in redefining human health as an endogenous variable embedded within the stability of Earth’s natural systems. Three major …

New Paradigm Of Forestry And Grassland Research Driven By Artificial Intelligence, Zhang Huaiqing, Jiaojun Zhu, Yang Liu, Tingdong Yang, Tian Gao, Jing Zhang, Xueyan Zhu, Yan Chen, Xian Jiang, Zeyu Cui, Jingwei Tan, Kexin Lei

Bulletin of Chinese Academy of Sciences (Chinese Version)

Addressing the current limitations in forestry and grassland research, particularly in cross-scale system cognition, complex process mechanism representation, and multi-scenario simulation, this study proposes an artificial intelligence-driven paradigm reconstruction framework, to shift the research model from experience-oriented approaches toward data- and intelligence-driven integration. On this basis, the study systematically establishes a multidimensional mapping between artificial intelligence and forestry and grassland research across research objects, processes, and objectives, and clarifies their intrinsic coupling mechanisms and technical pathways. Furthermore, it develops a foundational capability system to support the new paradigm from four key dimensions: data, computing power, models, and applications. By examining …

Progress And Prospective Of New Pollutants Study, Ruan Ting, Chunyang Liao, Yawei Wang, Maoyong Song, Yaqi Cai, Guibin Jiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The governance of new pollutants has been becoming a critical strategic demand for the high-quality development of China. The policy will be further advanced during the coming National 15th Five-Year Plan period. Nevertheless, significant challenges remain in aspects such as list of controlled chemicals, standard development, measurement methods, alternative approaches, and remediation techniques. Existing experience in addressing traditional pollutants remains insufficient to adequately address the concealed and complex ecological and/or health risks associated with new pollutants. Thus, a strengthening of basic research is the optimal approach to tackling these challenges and avoiding detours. To better identify the critical scientific challenges …

Open Sharing And Collaborative Governance: Practices And Implications Of National Institutes Of Health’S Digital Transformation, Long Yuntao, Bingzhi Wang, Zheping Xu, Yang Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the rapid development of information technology, research projects and tasks of research institutes are increasing rapidly. Scientific and technological resources are the core and foundation of scientific research work, and scientific research institutes are faced with the needs of processing, management and coordination of a large number of scientific and technological resources. Digital transformation has become an inevitable choice for the high-quality development of scientific research institutes. The U.S. National Institutes of Health (NIH), as the world’s top scientific research institute, has continuously introduced a number of initiatives in the field of digital transformation, such as institutional reform policies, …

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 …

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 …

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 …

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 …

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 …

"The First Web Novel At 30: The Collection And The Creative Process", Robert Arellano, Scott Rettberg

ELO (un)supervised 2026

Summer 2026 marks the 30th anniversary of Sunshine '69, recognized as the first novelistic hypertext fiction published on the web. While the full work remains accessible online—an "(un)supervised" preservation achievement in itself—the archive remains split between boxes and memory. This conversation between the work's creator and a major scholar in electronic literature documents both specific preservation challenges and systemic patterns in what the field chooses to preserve.

Topics include: figuring out web-born composition before established methodologies existed; the three decades of technical decisions that kept a 1996 work alive through format obsolescence and server migrations; and what gets lost …

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 …

Ni2-Imido Bispincer Platforms: Cooperative Reactivity Enabled Through Substrate Addition Across A Ni2n Unit, David De Los Santos, Kritika Gour, Manar M. Shoshani

School of Integrative Biological & Chemical Sciences Faculty Publications

Transition metal imido complexes are renowned for their capacity to undertake challenging 1,2 additions owing to the high basicity of the imido moiety. Access to transition metal imidos is often limited to the addition of organic azides to metal precursors, hindering the design of molecular constructs incorporating imido units. Bimetallic bispincer complexes, 1 and 2, are presented, which are anchored by a central imido moiety supported by pyridyl imine donors, forming highly planarized Ni2N-aryl cores. Complex 2, which also features a Ni─Ni σ-bond, is able to engage in cooperative substrate cleavage of main group hydrides via a formal 1,2 addition …

T.C. Thornton: A Methodist Educator Of Antebellum Mississippi, Tommy W. Rogers

Journal of Mississippi History

No abstract provided.

Factors Influencing Piglet Average Daily Gain During The First Week Of Lactation In Hyperprolific Sow Under Tropical Conditions, Yosua Kristian Adi, Preechaphon Taechamaeteekul, Jakavat Ruampatana, Manmueang Malison, Roy Neville Kirkwood, Padet Tummaruk

The Thai Journal of Veterinary Medicine

Birth weight (BW) is a key determinant of average daily gain (ADG) in piglets; however, hyperprolific sow genetics, particularly under tropical conditions, have increased the proportion of low-birth-weight piglets. This study evaluated factors associated with ADG during the first 7 days of lactation within birth weight categories (1.3 kg). A total of 1,185 piglets from 97 litters that survived to day 7 were included. Factors analyzed were cumulative birth interval, birth order, colostrum intake per kilogram of body weight, rectal temperature at 24 h postpartum, sex, intrauterine growth restriction (IUGR), and cross-fostering. Birth weight, cumulative birth interval, birth order, colostrum …

Method And Apparatus For Digital Identity Construction Using Graph-Based Similarity Analysis, Karanjit Saha, Riddhi Banerjee

Defensive Publications Series

A method for digital identity construction includes extracting, by a processor, information related to a plurality of users or entities from one or more data sources. The method includes creating a plurality of tables to organize the extracted information. The method includes constructing a connected component graph based on the created plurality of tables, wherein the connected component graph is a single-dimensional graph. The method includes splitting the single-dimensional connected component graph into a multi-dimensional graph and converting the multi-dimensional graph into a vector data structure. The method includes comparing vectors of the vector data structure to identify similarity and …

Dynamic Cascades In Hyper-Connected Geopolitical Systems: Quantifying Attrition Wave Mechanics And Resonance Stabilization Paths Toward Type 1 Civilizational Metrics, Christopher L. Eckes

Defensive Publications Series

Modern global security architectures behave not as isolated friction points, but as a fluid, hyper-connected ecosystem. When a high-friction decision or structural error occurs within a single systemic node, it generates a kinetic wave that propagates throughout the entire network, building destructive momentum as it strikes secondary institutional vulnerabilities. This paper introduces a rigorous, quantitative framework for mapping these interconnected crises.

By defining an 18-Month Continuous Friction Engine and deploying object-oriented system dynamics modeling, we evaluate how global stability degrades when states systematically trade technical and operational merit for ideological compliance. We anchor our wave mechanics calculations in empirical, real-world …

Embedding Evaluation For Continuous Improvement In A Cohort-Based Doctoral Residency Model: Evidence From An Ed.D. Program, Monica J. Weir

The Interactive Journal of Global Leadership and Learning

The Doctor of Education (Ed.D.) in Educational Leadership Program at Minnesota State University Moorhead (MSUM) includes two required summer residency weeks that serve as signature components of the doctoral experience. Given their central role in supporting academic milestones and scholarly community, program faculty have embedded systematic evaluation into residency design to support continuous improvement. This article describes a multi-phase, utilization-focused evaluation framework examining residency preparation, implementation, and participant experience. The evaluation designer collaborated with program faculty to design pre- and post-residency week instruments that elevate doctoral student voice and support faculty-led reflection. Preliminary findings indicated strong value placed on peer …

Preparing Teachers To Read The Data: Strengthening Data Literacy For Early Literacy Decision-Making, Tevia Q. Strand

The Interactive Journal of Global Leadership and Learning

Teachers are increasingly expected to use literacy screening and benchmark data to guide instruction, identify student needs, and participate in multi-tiered systems of support. However, pre-service and early-career teachers may enter the profession without sufficient preparation to interpret assessment data or connect benchmark patterns to instructional action. This white paper examines the gap between teacher preparation and the realities of K-12 data use, with particular attention to early literacy decision-making. Drawing from Bradbury’s discussion of teacher preparation and the changing realities of education, this paper argues that data literacy is an essential part of preparing teachers for equitable classroom practice. …

Provocable Forgiveness In Noisy Brand--Consumer Systems:An Agent-Based Study Of Repeated Interaction, Tahere Ahmadiyan, Hamidreza Navidi, Behbod Keshavarzi

Northeast Journal of Complex Systems (NEJCS)

Repeated brand--consumer exchange is often treated as a managerial problem of loyalty, recovery, and trust. It can also be read as a small complex system: many local decisions about cooperation, retaliation, and forgiveness accumulate into market-level selection. This study uses that perspective to examine which relational rules survive when communication is imperfect. Eight canonical Iterated Prisoner's Dilemma strategies are translated into marketing archetypes and evaluated through round-robin tournaments, a six-level noise sweep, proportional-fitness ecological dynamics, and finite-population Moran invasion tests. The tournament leaderboard is calculated without same-strategy self-play, so that reported payoffs reflect inter-archetype competition rather than homogeneous self-coordination. At …