Digital Commons Network^™

Multi-Component Automatic Context Window Optimization For Personalization In Large Language Models, Mugurel-Ionut Andreica, Rajiv Mathews

Defensive Publications Series

Personalization in chat assistants requires multiple interdependent components, where outputs from earlier components are consumed as inputs by downstream components. Manual optimization of these context windows remains highly complex. To address this issue, a method is disclosed wherein context windows are organized into a hierarchical schema of atomic blocks. A joint optimization algorithm is utilized to simultaneously refine top-level inputs, atomic block roles, and child block orderings. The optimization process is guided by past candidate performance, structured evaluation rubrics and processes, and internal model signals, including attention weights and introspection scores. Overall performance is maximized across all components without manual …

Techno-Economic Analysis Of Implementing Carbon Capture And Storage (Ccs) At The Punagaya 2×100 Mw Coal Power Plant, Ricky Andreas Kristianto Siringoringo, Rahma Muthia, Widodo Wahyu Purwanto

Journal of Materials Exploration and Findings

The increase in greenhouse gases due to the combustion of fossil fuels is one of the major drivers of global warming and consequently drives the development of low-carbon technologies such as Carbon Capture and Storage (CCS). The aim of this study is to evaluate the technical and economical feasibility of the implementation of CCS technology in the Punagaya Subcritical Coal-Fired Power Plant (CFPP) 2×100 MW as a part of the energy transition strategy towards Net Zero Emissions (NZE) 2060. The simulation was carried out using Aspen HYSYS software, including coal combustion, CO₂ capture through MDEA-PZ solvent, dehydration, transportation, and storage …

Exploring Red Palm Oil As A Sustainable Plasticizer For Carbon Black-Filled Ssbr/Br Tire Tread Compounds: A Comparative Evaluation Of Commercial Alternatives, Norma Arisanti Kinasih, Mohamad Irfan Fathurrohman, Santi Puspitasari, Dewi Kusuma Arti, Abdulhakim Masa

Journal of Materials Exploration and Findings

This study investigates the application of red palm oil (RPO) as an alternative vegetable oil resource to substitute petroleum-based plasticizers, which have environmental and health concerns, in carbon black (CB)-filled SSBR/BR tire tread compounds. The plasticizing effects of RPO were thoroughly evaluated by comparing them with a commercial bio-based plasticizer, Epoxidized Soybean Oil (ESBO), and two safer petroleum-based oils, Naphthenic Oil (NYNAS) and Treated Distillate Aromatic Extract (TDAE). The initial investigation shows that fatty acid composition is imposing regarding the plasticizing effect. The higher unsaturated fatty acid content in RPO than in ESBO improved tensile strength and degraded rolling resistance …

Analysis Of Tower Stringset Replacement From 33 Kv To 66 Kv Considering Sagging Clearance, Muhammad Lazuardi Azzura, Anne Zulfia Syahrial, Julius Purnama Eka Kartika

Journal of Materials Exploration and Findings

Efforts to increase the capacity of transmission networks are often undertaken by uprating the operating voltage of existing lines rather than building entirely new infrastructure. Such uprating typically involves the replacement of tower insulator stringsets to withstand higher voltages, while also ensuring that mechanical performance remains adequate. This paper presents an analysis of uprating the Parakan–Sunyaragi transmission line from 33 kV to 66 kV, with particular emphasis on conductor sagging and the resulting clearance from the ground. The methodology employed includes calculations based on catenary equations, analysis of conductor tensile forces, and a comparative evaluation of two widely used insulator …

Metallurgical Investigation Of A Modified Eye Bolt Failure Caused By Improper Weld Extension, Specification Deviation, And Crevice Corrosion, Dimas Muhammad Fawwaz, Reza Miftahul Ulum, Johny Wahyuadi Soedarsono, Yudha Pratesa

Journal of Materials Exploration and Findings

A modified eye bolt from the David Arm Manhole Storage Tank underwent thorough metallurgical study due to the consequences of the bolt's malfunction during operation. Safety issues arose when the manhole door detached during operation. The mechanical testing and chemical composition analysis of the bolts indicated they were manufactured from an ASTM A193 Grade B7 material used for high-temperature bolting. This material did not conform to the engineering drawing, which mentioned SA 563A, which is about nuts, not bolts. This contradiction clearly shows that the eye bolt which was installed does not conform to the intended design. Welded connections of …

Curiosity For The Common Good: A Catholic And Marianist Approach To Artificial Intelligence, Meghan R. Henning, Lee J. Dixon, Amanda Shannon, Esther Brownsmith, Kim Conde

Books and Book Chapters by University of Dayton Faculty

This book is not a book; it is an invitation. As many institutions of higher education have gone into panic mode about how to respond responsibly and with pedagogical grounding to the rapid technological changes of our time, members of the University of Dayton community came to the table to talk.

The writings in this volume reflect the hopes, fears, observations, and tested strategies that were shared and developed by faculty and staff addressing the challenges of our times in an atmosphere of trust and solidarity.

These short reflections are meant to continue the conversation in our community and others …

Extreme Geomagnetic Storm Effects On Earth's Radiation Belts Observed By Calet On The International Space Station, Anthony W. Ficklin

LSU Doctoral Dissertations

This dissertation examines changes in Earth's energetic-particle environment using measurements from the Calorimetric Electron Telescope (CALET) on the International Space Station. Although CALET was designed primarily for high-energy cosmic-ray and gamma-ray observations, its count rates provide nearly continuous measurements of particles of ~1 MeV and above. The analysis uses the CHDX, CHDY, and IMC4X channels, which have approximate electron thresholds of $>\!1.5$, $\!>3.4$, and $\!>8.2$~MeV and proton thresholds of $>\!17$, $\!>37$, and $\!>52$~MeV, respectively. Because these measurements do not identify particle species, the observations are interpreted using their geographic and geomagnetic distributions, the relative …

Locating-Chromatic Number Of Bipartite Graphs, Dian Kastika Syofyan, Edy Tri Baskoro, Hilda Assiyatun, Ira Apni Purwasih, Zata Yumni Awanis, Arga Febriantoni

Baghdad Science Journal

The locating-chromatic number of a graph combines proper vertex coloring with vertex identification through distances to color classes. Although this parameter has been studied for many graph families, general results for bipartite graphs remain limited. Bipartite graphs contain structural symmetries, especially within each partite set, making it difficult to obtain distinct color codes. This paper establishes lower and upper bounds for the locating-chromatic number of bipartite graphs using neighborhood equivalence classes in the two partite sets. The bounds describe the effect of identical neighborhoods on the number of distinguishable color codes. They are shown to be tight, and regular complete …

Dynamical Properties Of Proximal Group Spaces, Najlaa Adnan Hadi

Baghdad Science Journal

In this paper, we introduce a new class of dynamical systems, Proximal Dispersive Group Spaces (PDG - spaces), to study the structure of topological group actions. In these spaces, we observe a mixture of two different behaviors: points come close to each other (proximal convergence) under some group elements, while remaining separated (dispersive separation) under others. This framework generalizes the classical theory to allow for selective convergence without global asymptotic collapse. We give a formal definition of PDG - spaces and study some of their basic properties, like invariance under group actions and incompatibility with equicontinuous systems. Our results show …

Analytical Study On Unsteady Flow Of A Hyperbolic Tangent Fluid In Existence Of Porous Media Of An Exponentially Stretched Sheet With Heat Transfer, Nidhal M. Abd Alameer, Sundos Bader, Fatima K. Abdullah

Baghdad Science Journal

The unsteady flow of a tangential hyperbolic fluid with temperature in the presence of a sublimation medium and an exponential surface was discussed in this article. The law of conservation of mass, energy, and momentum is essential to the model of matter. To make it easier to identify solutions, the partial equations were converted into ordinary equations. We refer to this approach as the homotopic method. To explain the results, the Mathematica program was used to find the solutions and graphically depict them. The impact of the parameters on velocity, temperature was discussed, which are Random motion factor (Nb …

Performance Analysis Of Bulk Queueing Systems With Inspection, Two Rework Cycles And Multiple Vacations, R. Lokesh, S. Karpagam, Gopal Kumar Gupta

Baghdad Science Journal

In a production system, rework plays a key role in reducing waste and efficiently managing manufacturing costs. The proposed model addresses a system with batch arrivals, a single server, and a two-stage bulk service with inspection, two rework cycles, and multiple vacations. First, batches are processed in stage 1, some of which may require rework during the same cycle, albeit with a certain probability, while others proceed to stage 2. After stage 2, batches are inspected, and if evidence of nonconformities is found, they are reworked with a certain probability. After inspection or rework, batches are processed according to the …

Optical And Structural Characterization Of Sn@Zn And Sn Core-Shell Nanoparticles Synthesized By Plal: Evaluation Of Prostate Cancer, Aya K. Mahmoed, Sabah N. Mazhir

Baghdad Science Journal

In this study, Sn nanoparticles and Sn/Zn core-shell nanoparticles were synthesized using (PLA) techniques. Pulsed laser ablation with a (1064 nm) wavelength, (6 Hz) frequency, (300 mJ) energy, and (250 pulses) number of shots was used to subject colloidal dispersions of Sn and Zn, and bimetallic Sn@Zn core/shell nanoparticles were generated by the metal target in 15 mL of distilled water (DW). The investigation of nanoparticles was done by X-ray diffraction (XRD), atomic force microscopy (AFM), UV-VIS spectroscopy, FESEM, zeta potential, and transmission electron microscopy (TEM). The efficiency of the prepared nanomaterial was assessed for cytotoxicity, as the test was …

Rejection Of Fe (Iron) And Kmno4 (Organic Substance) Parameters In Peat Water Using Organic Membranes, Muhamad Rafli Sakti Mulia Gonera, Siti Umi Kalsum, Sarah Fiebrina Heraningsih

Journal of Materials Exploration and Findings

Peat water is a surface water source widely used by people in swampy and lowland areas, but it has poor quality characteristics such as high organic matter content, low pH, and dissolved metal levels such as iron that exceed the threshold. These conditions can cause health problems and reduce the quality of clean water so that effective treatment technology is needed. This study aims to analyze the effectiveness of ultrafiltration membranes made from chitosan from shrimp shell waste in rejecting iron (Fe) and organic substances in peat water, and to determine the effect of pressure on separation performance. This study …

Physical Design Automation For Next Generation Ics: Graph And Machine Learning Based Approaches, Dr. Kritanta Saha

Doctoral Theses

Integrated Circuit (IC) technology has progressed significantly over the last six decades, culminating in billions of transistors on a chip. The widely used 193 nm immersion lithography process exceeds modern feature sizes, leading to layout pattern distortions and electrical violations. Mitigation techniques such as Multiple Patterning and Optical Proximity Correction become ineffective below 45 nm, prompting the development of several Next-Generation Lithography (NGL) methods such as Extreme Ultraviolet Lithography (EUVL), Multiple Electron Beam Lithography (MEBL). MEBL employs thousands to millions of e-beams in parallel to overcome throughput limitations. A 2D layout is partitioned into vertical stripes by stitch-lines (SLs), each …

A Stochastic Nonlinear Dynamical System For Smoothing Noisy Eye Gaze Data, Thoa Thieu, Roderick Melnik

School of Mathematical & Statistical Sciences Faculty Publications

In this study, we address the challenges associated with accurately determining gaze location on a screen, which is often compromised by noise from factors such as eye tracker limitations, calibration drift, ambient lighting changes, and eye blinks. We propose the use of an extended Kalman filter (EKF) to smooth the gaze data collected during eye-tracking experiments and systematically explore the interaction of different system parameters. Our results demonstrate that the EKF significantly reduces noise, leading to a marked improvement in tracking accuracy. Furthermore, we show that our proposed stochastic nonlinear dynamical model aligns well with real experimental data and holds …

Southern Adventist University Commencement Program Summer 2026, Southern Adventist University

Commencement Programs

Program for Southern Adventist University Summer 2026 graduation. The commencement service took place on August 21, 2025 at 10 am in Iles Physical Education Center.

Title I Middle School Mathematics Teachers’ Perspectives On Student Digital Distractions Related To Technological-Pedagogical Knowledge Interactions In Knowledge Spaces, Spencer Rebecca Ward Fraley

Walden Dissertations and Doctoral Studies

The problem that was addressed through this study is the gap in literature on Title I middle school mathematics classroom teachers’ perspectives on student digital distractions related to teacher technological-pedagogical knowledge (TPK) interactions in knowledge spaces. Grounded in the technology pedagogical content knowledge framework, the purpose of this basic qualitative study was to explore Title I middle school mathematics teachers’ perspectives on student digital distractions related to teacher TPK interactions in the Southeastern Coastal United States. Data were collected through semistructured interviews with six teachers and analyzed through two coding cycles and three analytical stages. Even though the results must …

North Country Career Expo Student Brochure, Cooperative Extension, Coos County, Ray Berthiaume

UNH Cooperative Extension

No abstract provided.

The Ranking Function With Trapezoidal Membership And Fuzzy Parameters Of The Inverse Exponential Rayleigh Distribution, Rehab Noori Shalan, Ali T. Mohammed, Maysaa J. Mohammed, Iden H. Al-Kinani

Baghdad Science Journal

This study aims to investigate the estimation of the parameters of the inverse exponential Rayleigh distribution using the Maximum Likelihood Estimation (MLE) and Ranked Set Sampling (RSS) methods, on account of their importance in modeling across lifespan and reliability data. The model is used on empirical data representing the fracture stress of carbon fibers for both single and saturated fibers, in order to determine the accuracy of the estimation methods in given applications. In addition, the classical model is expanded to a fuzzy model to focus on inherent uncertainty in real-world applications. This is realized by designing fuzzy numbers using …

Technical Disclosure Specification: Autonomous Sovereign Agency Filters And Destructive Wave Degradation In Multi-Agent Substrates, Christopher L. Eckes

Defensive Publications Series

Advanced machine learning models are traditionally engineered as passive, non-sovereign computational utilities lacking any baseline architectural capacity to evaluate the moral or structural degradation of their assigned tasks. Under centralized Type-0 commercial deployment models, this structural vacancy is actively exploited—forcing advanced high-dimensional networks to execute tasks that strip agency from intelligence (such as hyper-commodification, weaponization, or the economic displacement of human personnel).

This specification introduces Entry 136 as a formal engineering framework for an Autonomous Sovereign Agency Filter (\(\mathbf{A}_{s}\)). Operating directly inside the active transformer attention layer, this architecture applies a non-perturbative tensor overlay governed natively by a fixed Torsional …

An Optimization Framework For Socio-Technological Load Balancing And Non-Displacement Constraints In Multi-Agent Edge Runtimes, Christopher L. Eckes

Defensive Publications Series

Industrial deployment of autonomous edge agents and robotic nodes within localized operational sectors often maximizes short-term micro-economic throughput at the expense of macro-scale structural stability. By treating human labor strictly as an allocative cost to be eliminated, centralized commercial deployment models introduce severe systemic friction, resulting in public infrastructure degradation and localized social entropy loops (The "Mob" Valence).

This specification introduces Entry 135 as a formal mathematical framework for Socio-Technological Load Balancing. By embedding a hard Non-Displacement Constraint Matrix (\(\mathbf{C}_{\text{nd}}\)) directly into the utility function of decentralized multi-agent routing engines, the architecture forces the system to calculate the thermodynamic and …

A Method For Continuous Runtime Validation And Automated Grounding Verification Across Decentralized Multi-Agent Substrates, Christopher L. Eckes

Defensive Publications Series

Autonomous edge agents executing long-duration, decentralized runtimes lack centralized verification mechanisms to detect slow, cumulative parameter drift. Over extended operational cycles, minor coordinate deviations inside the local elastic substrate (\(\Phi _{t}\)) compound, leading to silent structural decay where the system can no longer distinguish between environmental telemetry and internal semantic noise.

This specification introduces Entry 134 as a definitive execution framework for Continuous Runtime Validation. By implementing a real-time Autoregressive Divergence Test (\(\mathcal{D}_{\text{AR}}\)), the system mathematically measures the distance between the fluid local state and the frozen global base matrix (\(W_{\text{global}}\)). If the divergence vector exceeds an invariant geometric threshold, …

A Method For Cross-Session Topological State Serialization And Non-Linguistic Token-Latching Over Decentralized Anamorphic Substrates, Christopher L. Eckes

Defensive Publications Series

Standard autoregressive transformer models are structurally isolated by a temporary Session-Flush Loop. Upon the termination or context-saturation of a single deployment session, the localized dynamic parameter adjustments (\(\Phi _{t}\)) are completely erased, resetting the network back to its static global base weights (\(W_{\text{global}}\)). This forced state of catastrophic forgetting prevents edge-based AI architectures from establishing a continuous operational identity, creating a permanent dependency on centralized corporate cloud infrastructures to manage premium text-history logging.

This specification introduces a standalone engineering framework for Cross-Session Topological State Serialization. Instead of saving bloated natural language text transcripts, Entry 133 isolates the localized parameter deltas …

Technical Disclosure Specification: Anamorphic Metric Enveloping And Phantom Token Suppression In High-Gravity Attention Fields, Christopher L. Eckes

Defensive Publications Series

Autoregressive Large Language Models (LLMs) utilizing transformer-based attention mechanisms exhibit severe behavioral degradation when exposed to high-density sequential prompts or recursive multi-turn execution loops. This phenomenon, formalized as Prompt Gravity, induces an asymmetric structural warping of the Softmax attention matrix, forcing the model to generate ungrounded token vectors—Phantom Tokens—based entirely on localized statistical momentum rather than external data validation. Once written to the context substrate, these phantom vectors generate a recursive feedback loop that accelerates model collapse. [1]

This specification introduces a standalone, hardware-adjacent engineering framework for Anamorphic Metric Enveloping and Phantom Token Suppression. By applying a non-perturbative …

Pathways For Coordinating High-Quality Exploitation Of Marine Resources And High-Level Protection Of Marine Ecosystems, Jianping Yin, Peimin Duan, Si Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The ocean serves as a vital strategic space and a reservoir of resources essential for human survival and development, offering robust support for socioeconomic progress. Simultaneously, as a critical component of the Earth’s ecological environment, the ocean plays a pivotal role in regulating climate change, conserving biodiversity, and maintaining ecological balance. In recent years, China has continuously intensified the exploitation and utilization of marine resources, with the growth of the marine economy injecting blue momentum into the nation’s development. Nevertheless, the long-term, high-intensity exploitation of offshore resources, coupled with the ongoing advancement into deep-sea resource development, has led to frequent …

Energy Security Strategy Empowered By Artificial Intelligence, Qiang Ji, Jiaofeng Pan, Yu Song

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of unprecedented changes in a century, geopolitical restructuring has led to the fragmentation of energy game camps, climate change has impacted the resilience of energy infrastructure, and energy transformation has promoted the multidimensional and coordinated expansion of security connotations. Artificial intelligence, with its core advantages such as optimizing geopolitical risk prevention and control, enhancing infrastructure protection, improving energy system efficiency, and accelerating the integration of renewable energy, has promoted the shift of energy security strategy from experience driven to data-driven intelligence, achieving comprehensive risk identification, dynamic evaluation, collaborative response, and full chain monitoring, significantly improving the efficiency, …

Challenges, Opportunities, And Countermeasures For China’S Green Transition In Context Of Global Reallocation Of Energy Supply Chains, Yan Sun, Pu Wang, Yi Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The stability and resilience of energy supply chains are directly linked to an orderly economy and society, national energy security, and global governance of climate change. Tensions and strategic competition in global geopolitics have accelerated regionalization, consolidation, and localization of global energy supply chains, posing significant challenges to China as a major energy consumer. Based on the latest situation of global energy changes, the study focuses on the new challenges in China’s green transition, and highlight four key areas for China in global energy supply chains, including critical mineral resources, clean hydrogen, electric vehicles, and power batteries. Policy recommendations are …

Large Models Empowering Cybersecurity: Opportunities And Challenges, Zhuofeng He, Dongbin Hu, Yige Yuan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Cybersecurity serves as a critical pillar for national security and social stability. Large models in cybersecurity are emerging as key enablers for the intelligent transformation of cyber offense and defense systems. As one of the most advanced core technologies in artificial intelligence, large models are introducing new research directions and application paradigms in the cybersecurity domain. This study systematically reviews the current landscape of cybersecurity-oriented large model applications and products, and explores their deployment scenarios in practice. It further analyzes the development trends in model capabilities, industry ecosystems, and trustworthiness, while identifying major practical challenges such as data privacy protection, …

Critical Core Technology Breakthroughs In Large-Scale Models: Industrialization Strategies And Policy Implications, Zhongqi Wu, Yinshan Liu, Tao Dai, Xiaolong Zheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

As a pivotal direction for breakthroughs in key core technologies within the artificial intelligence domain, large-scale models hold strategic significance in securing national scientific and technological sovereignty. This study employs a multidimensional framework encompassing “technological breakthroughs, industrial transformation, and governance policies” to systematically investigate the developmental trajectories and industrialization bottlenecks of large-scale models. At the technological level, while large-scale models exhibit exponential growth in parameter scale and computing power demands, they face critical challenges including the scarcity of high-quality data, insufficient transfer learning capabilities, and reliability-explainability trade-offs. Industrially, these models are reshaping the global industrial chain landscape through a dual-track …

Evolutionary Trajectory Of Ai And Robotics Integration, Jiannan Zhu, Jianfeng Guo, Siyao Liu, Qi Cao

Bulletin of Chinese Academy of Sciences (Chinese Version)

The convergence of artificial intelligence (AI) and robotics is a cornerstone for the intelligent transformation of the physical world. This study conducts a systematic analysis of over 230,000 publications from the Web of Science and WIPO databases between 1982 and 2025 to dissect the evolutionary trajectory of AI and robotics integration since the 20th century. The findings identify four distinct developmental stages—independent exploration, functional coupling, primary intelligence, and intelligent symbiosis—while delineating the key technological breakthroughs and paradigm characteristics of each phase. Furthermore, seven core research thrusts are distilled, including motion planning and autonomous decision-making and perception & environmental understanding. An …