Digital Commons Network^™

Enhancing User Engagement During Call Initiation Latency, Aanya Mehta

Defensive Publications Series

This disclosure describes techniques, implemented with user permission, to enhance user engagement during the idle time between call initiation and connection. Contextually relevant, personalized content is displayed while a call is being connected. Such content can include, for example, photos, interaction metrics for the call recipient, event-specific information such as birthdays. For calls to a business, information about the business can be displayed. Display of useful information can improve the user experience of placing calls.

Master Project Architecture: Systems Engineering Framework For An Autonomous, Thermally Integrated, Relativistic Interstellar Platform, Christopher L. Eckes

Defensive Publications Series

This technical disclosure presents the overarching design, interface standards, and operational lifecycle framework for the Autonomous Hive-Mind Sensor Probe (AHSP). The AHSP is a building-scale (60-meter length, approximately 500-metric-ton dry mass), non-biological, modular spacecraft chassis optimized for autonomous, multi-decade interstellar transit at relativistic velocities (\(0.05c - 0.1c\)).

By eliminating the severe mass, volume, and atmospheric shielding constraints associated with biological life-support systems, the AHSP architecture reallocates its structural mass budget to create an entirely unified, self-sustaining thermodynamic and computational ecosystem. This master architecture coordinates six highly integrated technical disclosures and one long-range theoretical supplement, establishing a non-siloed spaceflight platform where …

System And Method For Interaction-Based Training Of Autonomous Agents, Eric Zavesky

Defensive Publications Series

A system and method for training autonomous agents through interaction-based validation is disclosed. The system includes a personality definition component that ingests behavioral specifications to synthesize personality parameters, and a training orchestration agent that conducts structured adversarial interactions with a trainee agent to validate behavioral alignment. An evaluation component detects systematic deviations through semantic analysis and pattern recognition across the interactions, distinguishing between isolated incidents and systematic misalignments. An interaction recording system captures the training exchanges for analysis, while a parameter refinement interface enables human oversight of behavioral modifications. The system addresses challenges in training agents to embody specific personality …

System And Method For Cryptographically Verifying Autonomous Agents In Merchant Transaction System, Sumit Kumar Roy, R V. Vighnesh, Apurba Pandey, Komaljot Kaur

Defensive Publications Series

ABSTRACT

A system for cryptographically verifying autonomous agents in merchant transaction systems includes a verification server configured to receive a transaction request from a terminal agent in a multi-agent delegation chain. The verification server parses a delegation chain manifest from the transaction request, wherein the delegation chain manifest comprises a linked list of signed hop records, each hop record capturing a delegation event from a delegator to a delegate. The verification server verifies, for each hop record in the delegation chain manifest, a delegator signature against a public key retrieved from an agent registry. The verification server verifies a hash …

Gci‑400 Arg‑Cm V1.0 — Atmospheric Resonance‑Guided Climate Modulation Network, Michael Victor Caldwell Mr.

Defensive Publications Series

The Atmospheric Resonance‑Guided Climate Modulation Network (ARG‑CM) is a fully open‑hardware, distributed system that uses real‑time atmospheric resonance sensing (ARPN) to predict moisture waves, trigger uplift, seed clouds, and coordinate atmospheric‑water harvesting in order to cool local and regional climates and reduce heat‑wave intensity.

ARG‑CM integrates:

• GCI‑322 ARPN v1.1 — Atmospheric Resonance‑Prediction Network

• Phoenix‑Water Engine (GCI‑268) — Atmospheric water harvester

• VAR (GCI‑280) — Vortex Atmospheric Reclamator

• CIFRS‑N v4.0 — Food‑Water‑Energy Nexus

• OSM v4.0 — Omni‑Sentinel Mesh

• TEHL‑v1.0 — Thermal‑Energy Harvesting Loop

• Sanitized Block — Structural housing

• CICIS — Compute and control backbone

This disclosure provides everything needed for engineers to …

Gci‑322 Arpn V1.1 — Atmospheric Resonance‑Prediction Network, Michael Victor Caldwell Mr.

Defensive Publications Series

The Atmospheric Resonance‑Prediction Network (ARPN) is a distributed, self‑powered, open‑hardware atmospheric sensing mesh designed to detect pre‑storm infrasonic resonance, pressure‑wave anomalies, and multi‑physics atmospheric signatures in real time. ARPN replaces numerical weather prediction (NWP) with direct physical sensing using a gyroid‑lattice resonant cavity, PVDF piezoelectric membranes, multi‑physics sensors, and a low‑power mesh network based on Ariadne’s Braid (GCI‑286) and CICIS.

Each ARPN node is battery‑less, powered by the Thermal‑Energy Harvesting Loop (TEHL‑v1.0), hardened using the Sanitized Block composite, and deployable via GCI‑320 Swarm Recovery & Pelletization. The system integrates seamlessly with CIFRS‑N, Phoenix‑Water, VAR, CIWFRS, and the broader Caldwell ecosystem. …

Low-Bandwidth Call Mode Using Audio-Derived Expression And Gesture Parameter Streaming, Anonymous

Defensive Publications Series

Techniques are described for a low-bandwidth call mode that replaces camera video transmission with streaming of audio-derived avatar animation parameters. During a real-time call, endpoints exchange capability information and negotiate an operating tier specifying parameter formats, update rates, and synchronization expectations. In response to user input or automatically upon degraded network conditions (e.g., low uplink bandwidth, loss, or jitter), a sender disables video frame transmission and processes speech audio in short windows using an on-device model to produce a time-stamped parameter stream including visemes and optionally expression and gesture parameters with confidence scores. The stream is adapted in rate, precision, …

Proactive Context-Aware Browser Extension Overlay For Advertising Infrastructure Diagnostics And Automation, Anonymous

Defensive Publications Series

A browser extension injects a proactive, context-aware overlay into a webpage when multiple contextual signals are satisfied. The extension detects a current domain, extracts webpage context indicating a tracking pixel and optional partner container presence, and verifies that an authenticated user is authorized for the detected pixel. The extension queries a backend overlay gating service with the domain. The backend computes a unified gating decision using a server-side activity log that records overlay interactions such as impressions, dismissals, remind-later actions, opt-outs, and CTA clicks, enabling cross-device suppression and frequency control. When authorized and when an actionable diagnostic issue or automation …

Organizational Meta-Learning And Adaptive Escalation For Autonomous Multi-Agent Systems, Anonymous

Defensive Publications Series

Techniques are disclosed for organizational meta-learning and adaptive escalation in autonomous multi-agent project execution. A project signature is generated from features such as scope, domain, team size, duration, parallelism, risk, and novelty. An organizational pattern, including team structure, channel structure, governance structure, and workflow sequence, is retrieved from a pattern library using signature similarity and an effectiveness score computed from prior outcomes. The project is configured and executed using the retrieved pattern. An adaptive escalation controller determines whether to escalate decision points to a human based on decision category, complexity, risk, project phase, agent confidence, and per-human calibration, and records …

Autonomous Infrastructure Provisioning And Adaptive Governance For Multi-Agent Collaboration Systems, Anonymous

Defensive Publications Series

Techniques are described for autonomously provisioning and adapting organizational infrastructure for multi-agent project execution using external collaboration tools. An organizational requirements analyzer generates an organizational plan specifying channels with scopes, modalities, purposes, and governance levels. An infrastructure provisioner creates real-world artifacts (e.g., chat channels, documents, task boards, repository branches) via tool APIs and configures them for dual use by agents through APIs and by humans through native user interfaces, optionally adding humans as observers. A governance negotiation engine enables agents to establish and amend a self-referential governance constitution using proposals and resolution protocols, subject to human veto. A multi-modal router …

Protocol Bridge Architecture For Chat-Directed Cloud Ai Agent Access To Local Application Interfaces With Knowledge Base Integration, Anonymous

Defensive Publications Series

A cloud-enabled, chat-controlled architecture provides remote AI agent access to a local desktop design application through a protocol bridge. A plugin running inside the desktop application connects to a locally executed bridge service using WebSocket and executes commands via an internal plugin API with deep read/write support, including complex assets such as images and fonts. A cloud-hosted agent receives natural-language instructions from a chat platform, retrieves context from an external knowledge base and optionally a brand asset pipeline, generates structured tool commands subject to design-system constraints, and sends the commands as HTTP requests to the local bridge. The bridge translates …

Instructional Strategies For Developing Mathematical Critical Thinking Skills In Secondary Education: A Pris-Ma-Based Systematic Review (2015-2025), Friska Ledina Situngkir, Mangaratua Simanjorang

Jurnal Pendidikan Sains

Mathematical critical thinking skills (MCTS) are essential 21st-century competencies that secondary students must develop. However, prior studies indicate these skills remain underdeveloped due to conventional teaching methods focused on procedural mastery. This systematic review, conducted in accordance with PRISMA 2020, synthesized empirical evidence on instructional strategies for fostering MCTS in secondary education. Searches were performed in Scopus, Web of Science, ERIC, ScienceDirect, and Google Scholar for publications between 2015-2025. From 1,342 records initially retrieved, 28 empirical studies were selected for full analysis. The review identifies five principal strategies: Problem-Based Learning (PBL), Inquiry-Based Learning (IBL), STEM/STEAM, Project-Based Learning (PjBL), and ethnomathematics. …

Crises In The Nigerian Defence Sector In The Post-Civil War Period, Hussaini Jibrin

Zamani: A Journal of African Historical Studies

History has it that post-war period in any country in the world appeared to be with many challenges of re-planning the defence system. It involves the reconstruction of pre-war institutions that are destroyed during the war for onward growth and development. Contrary to this tradition, this article explores that, in 1970 while Nigerians were celebrating about the end of the Nigerian civil war, fresh crises emerged in the country’s defence sector. Thus, General Yakubu Gowon’s government redirected its focus on addressing the crises. The crises are numerous, however, this article dwells on four only. These are demobilization exercise in the …

Performance Of Buffer Zones In Tanzania: A Case Of Maswa Game Reserve, 1950s-2010s, James Benedict Kuboja

Zamani: A Journal of African Historical Studies

National parks as core protected areas are universally regarded as the most important wildlife conservancies as they are protecting pristine nature or untouched wilderness. For this reason, global conservationists, with the assistance of colonial governments, introduced buffer zones in a bid to protect important protected areas from poaching and habitat destruction. Despite the promulgation of these buffer zones from the 1950s, scholars have not exhaustively evaluated their effectiveness in the conservation of wildlife resources within core protected areas and wildlife ecosystems at large. Using the case of Maswa Game Reserve in the Serengeti Mara Ecosystem, this article argues that internal …

Generative Endurance Logic: An Axiomatic Framework For Reasoning About Outcome-Generating Objects Under Constraints, Hafiz Burhan Ul Haq, Muhammad Nauman Irshad

Neutrosophic Systems with Applications

This paper introduces Generative Endurance Logic (GEL), a formal framework for studying objects through the outcomes they can produce. In many cases, an object cannot be judged only by a fixed truth value, score, or utility value. A rule, model, action, or strategy may behave well in one situation but fail when the context changes or when small perturbations occur. GEL addresses this issue by treating each object as a generator of outcomes. Each object a is linked to a generation map Ga:X×Ω→Y, where X is the context space, Ω is the …

Static Analysis-Based Android Malware Detection (2021–2026): A Systematic Survey And Taxonomy, Ali Hussein Mohammed Ali, Musaab Riyadh Abdulrazzaq

Al-Esraa University College Journal for Engineering Sciences

Android malware is not only increasing in size and sophistication but is also a challenge to be detected on a large scale. Static analysis is popular due to its ability to detect malware without running applications or tracing run-time events. However, features, datasets, labeling methods, and assessment methodology differ, which makes studying performance difficult. This is a systematic study of 78 peer reviewed articles written between 2021 and 2026 regarding the Android malware detection by static analysis. In each of the studies, the current survey cover the following feature source, feature representation and engineering, learning paradigms, datasets and labeling methods, …

Guided Mind Mapping For Enhancing Spatial Thinking In First-Year Architectural Design Studios, Noor Ayad Rashid, Mustafa Kamil Al-Khafaji

Al-Esraa University College Journal for Engineering Sciences

Spatial thinking constitutes a core cognitive ability in early architectural design education, enabling students to interpret, organize, and transform spatial relationships into coherent architectural configurations. Despite its importance, studio practice often indicates that first-year students rely on surface-level representation rather than engaging in structured spatial reasoning, which leads to fragmented compositions and weak spatial coherence. Accordingly, this study investigates the following research question: To what extent can guided mind mapping support the development of spatial thinking in early architectural design studios? A quasi-experimental design was adopted to examine the impact of structured visual–cognitive guidance on students' spatial reasoning. The study …

Real-Time Adaptive Control Of Machining Parameters In Cnc Milling Using An Ensemble Digital Twin And In-Process Vibration Monitoring For Enhanced Surface Integrity, Ali Qasim Abdulwahid

Al-Esraa University College Journal for Engineering Sciences

Achieving consistent surface integrity in CNC milling under varying materials and degraded tool conditions remains a critical challenge because fixed cutting parameters often induce regenerative chatter, accelerate tool wear, and cause surface and subsurface damage. This paper presents an integrated solution that combines an Ensemble Digital Twin (EDT), real-time in-process vibration monitoring, and a hybrid adaptive controller to maintain high surface quality while preserving productivity. The EDT fuses a physics-based milling dynamics model with a recurrent LSTM surrogate through a context-aware meta-learner that weights model outputs by process state (e.g., tool wear, engagement). A compact real-time monitoring pipeline computes a …

Evaluation Of Mimo Antenna Configurations For High Data-Rate Systems, Ammar Abdulimam Abbood

Al-Esraa University College Journal for Engineering Sciences

This paper introduces a new design of cat-shaped antenna in super wideband (SWB) and high data-rate multiple input multiple output (MIMO) systems. The single-element SWB antenna has a wide frequency range of 2.23 GHz up to more than 100 GHz with outstanding bandwidth ratio (BW Ratio = 44.84:1), fractional bandwidth (FBW = 191%), bandwidth dimensional ratio (BDR = 5567) and a peak gain of 9.52 dB. The single antenna was also expanded to 2 × 2 MIMO array to further improve performance on multipath environments. Measurements and simulation show very good results using radiation patterns, isolation, channel capacity loss (CCL), …

An Intelligent System For Managing High-Priority Vehicle Routing In Smart Cities Using Artificial Intelligence And Spatial Data Analytics, Bahjat Abdulelah Madhloom

Al-Esraa University College Journal for Engineering Sciences

In developing metropolises, there is a risk to public safety in addition to the usual traffic jams. Traffic delays can have life-altering effects every second that fire trucks and ambulances are delayed. Large cities like Baghdad, which suffer from haphazard road sealing and incompetent traffic management, are especially affected, creating daily emergency crisis problems. We create a new intelligent routing system for these top priority vehicles in order to solve this life-or-death problem. Our method uses a trained model with real-time spatial information instead of outdated static maps. A Long Short-Term Memory (LSTM) neural network at its core constantly forecasts …

Video Compression Optimization Techniques Using Artificial Intelligence: Review/Review Article, Amal Abbas Kadhim, Wedad Abdul Khuder Naser, Nada Abdulkareem Hameed

Al-Esraa University College Journal for Engineering Sciences

Compressing video is an important and essential function in today's multimedia systems as it enables the efficient storage and transmission of large volumes of video data. The proliferation of high-resolution videos that are being used in various application areas such as video streaming, video conferencing, surveillance, and autonomous systems has caused the strong demand for more efficient compression algorithms. This paper presents an in-depth review of video compression techniques with particular focus on AI methods. It also discusses traditional video coding standards including H. 264/AVC, H. 265/HEVC, and AV1, including motion estimation, transform coding quantization entropy coding, and rate-distortion optimization. …

Umn Morris Receives Grant To Develop Tool To Monitor Ai Data Centers' Impacts On Water Quantity And Quality, Communications And Marketing

Campus News Archive

No abstract provided.

Three Centuries Of Technological Innovation, Jordan G. Okie, James H. Brown, Astrid Kodric-Brown, Joseph R. Burger, Tatiana P. Flanagan, Trevor S. Fristoe, Sean T. Hammond, Norman Mercado-Silva, Jeffrey C. Nekola, Jennifer Richter

Biology Faculty Publications

What socioecological conditions nurture the ingenuity and collaborative interactions underlying transformative technological innovations? We compiled a dataset on more than 400 major technological inventions from 1690 to 1990 spanning seven categories (agriculture, armaments, information and communication, household, industry, medical, and transportation) and performed inductive macroecological analyses to address how attributes of inventors, teams, and their social and geographic environments contributed to the innovation of new technologies that have changed the way people live. The vast majority of inventions were attributed to single inventors of various ages. The frequency, size, and cultural diversity of teams increased in the 20th Century, as …

Discourse Representation Of Self And Other In The 2020 Trump-Biden Presidential Debates, Victor Babajide Ogunleye, Adesina B. Sunday

Journal of English and Applied Linguistics

Presidential aspirants in the United States engage in debates during campaigns as a medium of enlightening the electorate. Existing studies on the American presidential debates have largely focused on politeness, rhetoric, syntax, and gender, with little attention to the strategies employed to construct the self and opponent(s). Therefore, this research investigates the discourse representation in the presidential debates between Trump and Biden using van Dijk’s socio-cognitive model of critical discourse analysis. Ten excerpts were purposively selected for their relevance in illustrating representation strategies. The analysis revealed positive self-representation and negative other-representation. Positive self-representation featured the self as competent, honest, altruistic, …

Pintarin.Edu Application: Assessment Platform As A Complementary Learning Material For The Teaching Principles And Assessment I And Ii Courses, Hayuni Retno Widarti, Munzil Munzil, Raden Bambang Sumarsono, Richa Nan Maharani, Juwita Karina Pratiwi, Deni Ainur Rokhim

Jurnal Pembelajaran Sains

This study aims to design, develop, and launch the Pintarin.Edu application as a lifelong learning-based assessment medium to support the Principles of Teaching and Assessment I and II courses for prospective professional teachers (PPG) students. The innovation of this research lies in the integration of reflective assessment, continuous feedback, interactive discussion features, automatic post-tests, rubric-based task management, and Classroom Action Research (CAR) progress monitoring in one structured digital platform. This study uses a 4D development model (Define, Design, Develop, Disseminate) which includes needs analysis, feature design and development, product validation and revision, and trial and implementation. Validation was carried out …

Framing China In Conflict Reporting: A Critical Discourse Analysis Of Transitivity In Chinese And Western Media, Tingting Geng, Hongmei Tang

Journal of English and Applied Linguistics

This study employs a corpus-based critical discourse analysis (CDA) grounded in Halliday’s transitivity framework to investigate how China’s diplomatic stance is discursively constructed within conflict reporting. Focusing on media coverage of the Russian-Ukrainian War and the Palestinian-Israeli Conflict (2023), the study investigates how Chinese and Western mainstream media depict China’s stance. Based on a self-built corpus of 153 news reports and analyzed via AntConc, the study quantitatively and qualitatively identifies distinct patterns in the use of transitivity processes across the two corpora. The research reveals that Chinese media highlight the outlook for future peace-building initiatives, portraying China as a country …

Enhancing Emotional Vocabulary In Esl Learners Through Corpus-Based Instruction And Bilingual Scaffolding, Udaya Muthyala, Jyothsna Bethala, Banoth Suresh

Journal of English and Applied Linguistics

This study investigates the efficacy of integrating corpus-based tools and bilingual scaffolding to explicitly instruct emotional vocabulary (EV) among secondary school ESL learners. Despite its criticality for interpersonal communication and identity construction, EV remains marginalized in ELT curricula, a research gap driven by the inherent abstractness of affective lexis and a lack of systematic, data-driven frameworks for its instruction. To address this, a quasi-experimental intervention was conducted with 90 Class VIII students at a government high school in Tadepalli, Andhra Pradesh. The study utilized a mixed-methods approach, leveraging Sketch Engine and AntConc to generate contextualized concordance lines, which were further …

Context-Specific Legitimacy In English Language Teaching: Rethinking Nativeness In The Korean Efl Context, Kenn Arcenal, Teri An Joy G. Magpale

Journal of English and Applied Linguistics

Although non-native English-speaking teachers now make up the majority of the global ELT workforce, perceived nativeness continues to function as an enduring filter in hiring and evaluation. This perspective paper examines how that filter operates unevenly across the institutional sectors of South Korea’s EFL labor market, arguing that Filipino English Teachers (FETs) face a distributive rather than a uniformly ideological inequity, with the biggest disadvantage concentrated in commercially driven private academies. Drawing on two companion studies of FETs working across Korean academic sectors (Magpale & Arcenal, 2025, in press) and integrating more recent scholarship on native-speakerism with comparative evidence from …

Full Issue (Volume 5, Issue 1): Critical Discourses, Pedagogical Innovations, And Sociocultural Perspectives In Applied Linguistics

Journal of English and Applied Linguistics

Abstract not applicable.

Creative Constructions In Asian And World Englishes - And What They Teach Us, Edgar W. Schneider

Journal of English and Applied Linguistics

"Creative constructions" are defined as patterns which deviate slightly but noticeably from grammatical, fully licensed structures in English (and are therefore sometimes branded as "wrong"), inviting specific cognitive associations to make sense of them. It is argued that such structures offer a window into the nature of the cognitive manipulation of linguistic innovations and change. The concept is related to creativity in literature and lingua franca English, and it is surveyed theoretically by asking how established grammatical theories (like traditional grammar, structuralism or generativism) or more recent approaches to the nature of grammar (usage-based linguistics, construction grammar, and complex systems …