Digital Commons Network^™

Taint-Triggered Turn-Scoped Tool Downgrade With Attachment-To-Execution Provenance Audit, Gustavo Matthew Assuncao

Defensive Publications Series

This document discloses, and thereby places into the public domain as enabling prior art, a mechanism that contains prompt-injection-to-remote-code-execution in tool-using AI agents that accept untrusted document and image attachments. The core control is turn-granular: any conversational turn that introduces a new untrusted attachment is automatically downgraded to read/vision-only for that turn alone — the mutating tools (writefile, editfile, generatefile, runcommand) are hard-denied regardless of the caller's role, and re-enabled automatically on the next attachment-free turn. Three further specifics harden the loop: (1) the untrusted-content taint envelope is re-applied on every history re-hydration, so a poisoned block can never shed …

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Two-Clock Fail-Closed Entitlement Engine, Gustavo Matthew Assuncao

Defensive Publications Series

Software licensing systems that support offline operation face a structural tension: the same cached credential that lets a product keep running during a licensor-side outage also lets a revoked customer keep running. Conventional stacks resolve this by coupling the cached-token lifetime to the grace window, producing a fail-open tail as long as the grace period — often days. This disclosure describes a two-clock, fail-closed entitlement engine that decouples the two concerns. An availability grace clock lives server-side on the activation row and is refreshed per heartbeat; a separate revocation clock is a signer-enforced offline-token TTL (≤24 hours) whose ceiling the …

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Atomic Crypto-Shred With Trigger-Immutable Audit-Ledger Preservation And Machine-Verifiable Zero-Orphan-Pii Proof, Gustavo Matthew Assuncao

Defensive Publications Series

This document discloses, enablingly and with dated priority, a database-layer mechanism that reconciles two requirements normally in direct tension: the data subject's right to erasure (GDPR Article 17; the COPPA parental deletion right for children's data) and the integrity of a trigger-enforced append-only audit ledger whose rows must never be updated or deleted. The mechanism performs, in one database transaction for one subject: (1) a crypto-shred of a per-subject key row — the key material is set to NULL while a keyref tombstone survives; (2) a manifest-driven purge of every plaintext PII surface, capturing each surface's row count before the …

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Shadow-First Anomaly Ladder With Fail-Low Signals, Inversion-Proof Thresholds, And Would-Block Dual Recording, Gustavo Matthew Assuncao

Defensive Publications Series

This publication discloses, enables, and dates a mechanism for behavioral anomaly gating of autonomous software agents. The distinguishing subject is not the human user but the agent-channel capability exercise: an event in which a principal (a human or a non-human agent) invokes a named capability through a specific channel (an interactive UI, an email-driven command, a messaging bridge, a scheduled job). Six read-only behavioral signals are computed for each such event, each under a fail-LOW contract whereby any datastore error or absent history yields a zero sub-score, so a monitoring blind spot can never fabricate an anomaly. A pure, side-effect-free …

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License-Anchored Llm Capability Governor With Ordinal Down-Only Route Clamp And Tri-Plane Enforcement, Gustavo Matthew Assuncao

Defensive Publications Series

This publication discloses, in enabling detail, a License-Anchored LLM Capability Governor: a system that governs which large-language-model any principal (a human user or an autonomous persona/agent) may cause to run, by resolving exactly one entitlement lever — a license tier — into a concrete model, and then enforcing that resolution wherever a model can be selected. Resolution walks a fixed precedence (per-principal override → role-exception regex → license-to-tier map → legacy role map → global default) and passes through an ordinal capability ladder so that models become comparable, not merely listed. The resolved model is then clamped to the physical …

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Capability-Gate-First Cost-Optimal Llm Task Router With Monotone Hard-Capability Taint, Dif-Fairness-Governed Escalation, And Cheapest-Allowed Self-Clamp, Gustavo Matthew Assuncao

Defensive Publications Series

This document discloses, in enabling detail, a method and system for selecting, on a per-turn basis, which large language model (LLM) answers a given request in a multi-model deployment. The distinguishing property is that capability feasibility is a hard gate evaluated strictly before any cost or difficulty optimization, and a budget is structurally unable to override a capability-forced selection. A four-stage task assessor emits a set of required capability primitives (tooluse, vision, longcontext) under a monotone taint invariant: each later stage may raise, but never lower, a hard requirement detected by an earlier stage, while websearch is deliberately kept soft …

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Fail-Closed, Persona-Scoped Dlp Egress Policy Engine With Classification-Conditional Provider Steering, Gustavo Matthew Assuncao

Defensive Publications Series

This document discloses, with sufficient detail to enable a person of ordinary skill in the art to build it, an egress data-loss-prevention (DLP) policy engine that decides what outbound text an autonomous AI system is permitted to transmit to third-party language-model providers. The engine's distinguishing characteristic is that each policy is scoped jointly by three orthogonal dimensions — the internal pipeline route, the identity of the originating AI persona, and the human user role — and that a single first-match decision returns both a content action (allow, redact, block) and the provider that may receive the resulting text. Policies are …

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Fail-Closed Email-As-Agent-Command Channel, Gustavo Matthew Assuncao

Defensive Publications Series

This publication discloses, in enabling detail, a fail-closed protocol that turns inbound email into an authenticated command channel into a tool-using LLM agent. An email carries no HTTP request, so the ordinary web pattern of authenticate-middleware-then-authorize-middleware cannot run; the disclosed protocol reconstructs an equivalent — and in several respects stronger — chain of interlocks as a thirteen-step pipeline where every step fails closed. The three load-bearing novelties are: (1) a DMARC verdict is trusted only when it is stamped by a named trusted relay's authserv-id, reports pass, and is domain-aligned to the parsed sender; (2) execution is gated behind a …

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Ivr-To-Realtime Anti-Language-Drift Session-Instruction Injection, Gustavo Matthew Assuncao

Defensive Publications Series

A realtime conversational voice LLM tends to mirror the language of its conversation history and of the caller's most recent utterance. When such an agent is reached through a preceding DTMF interactive-voice-response (IVR) menu in which the caller has explicitly selected a language ("press 2 for French"), two structural facts conspire to lose that selection: the IVR subsystem and the realtime-voice subsystem are two disjoint processes joined only by a stateless HTTP redirect, and the realtime model's mirroring tendency silently overrides a one-time greeting in the chosen language. This publication discloses a mechanism with two cooperating parts. First, a language …

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Heuristic Capability-To-Rbac Translator With Dual-Read Shadow Evaluation, Gustavo Matthew Assuncao

Defensive Publications Series

A platform that began with a flat set of boolean capabilities (CANUSELLM, CANMANAGEUSERS, …) and a few flat roles must eventually migrate to fine-grained, scoped RBAC where permissions are domain:resource:action tuples and roles are wildcard-composable pattern sets. The conventional path is a hand-maintained translation table plus a flag-day cutover, both of which are labor-intensive and risky: a single mis-mapping is a production outage or a silent privilege escalation. This publication discloses a mechanism that (1) heuristically translates each legacy capability into a fine-grained permission — explicit override map first, then a structural parse of the CAN

Chemistry Of Co2 Capture And Storage: From Molecular Interactions To Advanced Functional Materials, Nany Hairunisa, Hazim F. Abbas, Amamer M. Redwan

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

In light of the industrial development taking place, the burning of fossil fuels for transportation and electricity generation, and the accompanying carbon dioxide emissions, there is an urgent and continuing need to innovate methods of capture and storage, as well as competitive materials to address increasing carbon emissions. This review describes the importance of this procedure and the technologies that help solve this problem, some of which have been adopted by many countries and industrial institutions and differ in their efficiency, cost, and applicability.

Influence Of Altitude On The Energy Payback Time Of Grid-Connected Photovoltaic Systems: A District-Level Analysis In Himachal Pradesh, India, Aniket Sharma, Mohinder Singh

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

This study presents a district-level assessment of the influence of altitude on the Energy Payback Time (EPBT) of grid-connected photovoltaic (PV) systems in the Western Himalayan region of Himachal Pradesh, India. Although several studies have examined photovoltaic performance under different climatic conditions, systematic evaluation of altitude-sensitive EPBT using a standardized PV configuration remains limited for mountainous regions. A uniform 14.82 kWp polycrystalline PV system was simulated for twelve district headquarters representing elevations from 360 m to 3025 m above sea level using PVsyst software and Meteonorm meteorological data. Annual energy output and EPBT were evaluated under identical system configuration and …

Energy And Exergy Analysis Of Combined Cycle Power Plants: A Comprehensive Evaluation, Mohammad Ibrahim Hussein Hussein

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Evaluating the thermodynamic performance of combined cycle power plants (CCPPs) requires a comprehensive understanding of both energy quantity and energy quality across highly integrated components, including the gas turbine, heat recovery steam generator (HRSG), steam turbine, and condenser. This study presents a structured critical review of recent developments in energy and exergy analysis of CCPPs, covering studies published between 2001 and 2025. Unlike previous descriptive summaries, this work introduces a comparative synthesis framework that critically evaluates component-level losses, thermodynamic irreversibilities, and system optimization strategies across conventional and advanced CCPP configurations. The review shows that the condenser is the dominant source …

Mitigating The Effects Of Poor Power Quality Conditions Using Adaptive Model Predictive Current Control, B. O. Akinloye, B. G. Ologunwa, A. A. Okubanjo

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Permanent Magnet Synchronous Motors (PMSMs) are susceptible to performance degradation in applications with poor power quality, such as those found in regions with unstable electrical grids. Conventional control strategies often fail to maintain stability and efficiency under simultaneous voltage sags and harmonic distortions. This paper presents an adaptive Model Predictive Current Control (MPCC) framework designed to enhance the resilience of PMSM drives under such composite disturbances. The proposed strategy integrates three key mechanisms: a real-time voltage sag compensation module that adjusts current references and employs flux-weakening, a multivector-based harmonic mitigation technique embedded within the predictive cost function, and a thermal …

Cybersecurity Governance Of Industrial Iot In Sub-Saharan Africa: Policy Gaps, Threat Landscape, And Lessons From Comparative African Contexts, Faztudo Languisse Eng.

Journal of Cybersecurity Education, Research and Practice

The rapid deployment of Industrial Internet of Things (IIoT) systems across Sub-Saharan Africa's extractive, energy, logistics, and agro-industrial sectors has introduced a cybersecurity challenge of growing urgency: industrial networks that were designed for operational efficiency are increasingly exposed to cyber threats for which neither the organizations nor the regulatory frameworks are adequately prepared. This article examines the cybersecurity governance of IIoT systems in a developing African economy, using Mozambique as a primary case study and drawing comparative lessons from South Africa, Rwanda, and Kenya. Through an integrative literature review and documentary analysis of national digital, cybersecurity, and industrial policies, the …

When Even A Struggling Missionary Becomes The Hero, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

Guiding a struggling missionary back toward wellbeing—through one-on-one counseling and similar interventions—is demanding work that requires significant time and effort. I can only imagine how much of a mission president's already limited time is consumed by this kind of support, making it that much harder to fulfill the broader responsibility of leading an entire mission.

Yet this kind of one-on-one intervention has a drawback that is easy to overlook: it tends to keep the missionary receiving support permanently cast in the role of "the one being helped." As a result, the strength that already lies within that missionary often goes …

Study On Structural Characteristics And Immunomodulatory Activity Of Flammulina Velutipes Crude Polysaccharide, Wang Xinnuo, Peng Chujun, Jin Yumeng, Zhang Molan, You Lijun

Food and Machinery

[Objective] To prepare Flammulina velutipes crude polysaccharide (FVP) and evaluate its structural characteristics and immunomodulatory activity. [Methods] FVP was prepared from Flammulina velutipes using hot-water extraction and ethanol precipitation, and its structural characteristics were characterized by combining Fourier transform infrared spectroscopy (FTIR) and high-performance size-exclusion chromatography–multi-angle laser light scattering–refractive index detection (HPSEC–MALLS–RI). The immunomodulatory activity of FVP was evaluated using RAW 264.7 macrophages and a cyclophosphamide-induced immunosuppressed mouse model. [Results] The total sugar content of FVP is (51.39 ± 1.36) g/100 g. Structural characterization results show that FVP has characteristic features of a β-type pyranose ring and exhibits a multi-component …

Research Progress In Production Process And Flavor Modulation Mechanisms Of Cooking Wine, An Nan, Liu Gongliang, Bai Weidong, Tong Xing, Wang Hong

Food and Machinery

As a core condiment in traditional Chinese cuisine, the flavor modulation mechanisms of cooking wine are closely related to its production processes. This review systematically organizes the three major production systems of cooking wine, i.e., brewed, blended, and seasoned, comparing their differences in base-wine origin, flavor-formation pathways, and product stability. By integrating the latest developments in flavoromics, molecular interactions, and intelligent fermentation, it provides a systematic analysis of the relationship between production process differences and flavor formation mechanisms. The paper clarifies the multi-stage “dissolution–modification–suppression” mechanism for off-flavor removal and proposes a metabolic flux-directed process optimization pathway. Additionally, it explores the …

Fred Luthans, Unl Business Management, Positive Organizational Behavior, Mark Griep, Fred Luthans

UNL ORCA Interview Series

Fred Luthans was awarded the ORCA in 2008. He was born in Clinton, Iowa in 1939. He earned three degrees from the University of Iowa in Iowa City, located only a few miles from Clinton. His bachelor's was in mathematics in 1961, a Master’s of Business Administration in ‘62, PhD in Management and Psychology in 1965. After serving two years as a captain in the Army at West Point, where he taught psychology and leadership, he joined the University of Nebraska-Lincoln as an Associate Professor of Management. He's had a remarkable career, but I'll only mention three major distinctions. His …

An Automated Surrogate-Assisted Optimization Framework For Rapid Microfluidic Channel Design Of Point-Of-Care Diagnostic Devices, Ronald Jose, Yunjian Qiu, Lin Jiang, Yun Wang

Faculty Research, Scholarly, and Creative Activity

Saliva-based point-of-care diagnostic devices provide accessible, non-invasive health monitoring but face engineering challenges in ensuring reliable, cost-effective performance outside laboratory settings. Traditional design approaches rely heavily on repeated cycles of simulation, design, and prototyping, creating computational bottlenecks that slow innovation. This work introduces an automated surrogate-assisted optimization framework that integrates multiphysics simulation data, surrogate modeling, and multi-objective optimization to accelerate microchannel design. Synthetic datasets generated through multiphysics simulations are used to train a neural network surrogate model capable of predicting flow performance metrics, including the Dean number and pressure drop. This trained model achieved a mean squared error of 0.000012 …

Sources And Potential Risks Of Micro- And Nanoplastics In Foods, Zhao Xinlong, Li Wei, Zhang Mengling, Xing Liwen, Tian Huafeng

Food and Machinery

Plastics are widely used in food packaging, storage, processing, and other food-related applications, playing a vital role in extending food shelf life, reducing material loss, and promoting food circulation. However, these plastic products that come into direct or indirect contact with foods can release micro- and nanoplastics through various physical and chemical processes. These micro- and nanoplastics can accumulate in the human body through bioaccumulation and other pathways and have become one of the emerging contaminants threatening food safety and human health. This review provides a comprehensive summary of the research progress on the generation pathways, release mechanisms, potential health …

Prediction Model Of Green Grape Water Loss Rate Based On Multi-Model Soft Voting Fusion, Fan Gai, Jing Min, Ji Feng, Ma Maosen, Yao Xiaomin

Food and Machinery

[Objective] This study aims to achieve rapid and non-destructive detection of the water loss rate in green grapes, control losses, and ensure quality. Based on an LED-induced fluorescence spectroscopy system, a prediction method combining collected spectral data with a multi-model soft voting fusion approach was proposed for green grape water loss rate estimation. [Methods] Spectral data from 100 green grape samples were collected. Preprocessing was performed using multivariate scatter correction (MSC), standard normal variate transformation (SNV), normalization, and Savitzky–Golay (SG) filtering. Feature wavelength selection was carried out using the successive projections algorithm. Based on this, prediction models for the green …

Quantitative Analysis Of Sorghum Starch Using Machine Learning And Near-Infrared Spectroscopy, Li Ke, Ouyang Runkun, Dai Yijie, Li Jie, Hou Aixiang, Yang Yu, Li Zongjun

Food and Machinery

[Objective] To establish a model for the rapid quantification of sorghum starch based on near-infrared spectroscopy and machine learning algorithms. [Methods] Brewing sorghum was used as the raw material. Near-infrared diffuse reflectance spectra were collected using a near-infrared spectrometer. The Isolation Forest algorithm was employed to remove outlier samples and optimize the dataset. Subsequently, multiple preprocessing methods and regression models were compared using various modeling software to analyze and establish a quantitative model for sorghum starch. [Results] After preprocessing with the Isolation Forest algorithm, the partial least squares regression (PLSR) model exhibited the best performance, with a coefficient of determination …

An Ai-Driven Safety Traceability And Monitoring System For Food Cold Chain, Zeng Xiaoqing, Zhang Yuyue, Xie Wenqing, Zhou Jianhua

Food and Machinery

Targeting the three major obstacles—information fragmentation, delayed risk response, and ambiguous accountability—in food cold chain safety governance, this study constructs an integrated cold chain safety traceability and monitoring system centered on artificial intelligence technology and incorporating the Internet of Things and blockchain. On the basis of a comprehensive risk analysis of the entire food cold chain process, and drawing on theoretical frameworks including supply chain resilience theory, information asymmetry theory, HACCP, and ISO 22000 food safety standards, this study designs a system architecture organized around five functional modules: multi-source data collection and traceability, dynamic food quality assessment, risk prediction and …

Terminal Control Method Of Parallel Food Sorting Robot With Multi-Algorithm Fusion, He Qing, Wu Tianfeng, Zhao Yini

Food and Machinery

[Objective] To address the problems of low trajectory tracking accuracy, delayed dynamic response, poor adaptability to external disturbances, and difficulty in meeting the requirements of high-speed and high-precision food sorting in the existing end-effector control of parallel food sorting robots. [Methods] A food sorting system based on a DELTA parallel robot was developed, and an end-effector control strategy integrating an improved whale optimization algorithm, adaptive fuzzy control, and nonsingular fast terminal sliding mode control was designed. Adaptive fuzzy control was used to adjust the output gain in real time to enhance controller tracking accuracy. The improved whale optimization algorithm was …

Effect Of Double-Bin Plansifter Motion Parameters On Sieving Efficiency, Li Shuang, Wang Fengcheng, Deng Xiangzhi, Li Xinze, Zhang Baowei, Fu Yunfeng, Xue Chunzhi

Food and Machinery

[Objective] The aim is to explore the effect of double-bin plansifter motion parameters on the material sieving efficiency of different systems after wheat milling. [Methods] The milled materials produced by the break system, tailing roll, and scratch system, obtained from a typical milling production line, were selected as raw materials. The double-bin plansifter was used to sieve different materials to investigate the variations in residence time inside the sieve body and in sieving performance under different motion parameters of milled materials in each system. The motion parameters with the optimal sieving performance for the milled materials from each system were …

Extraction Optimization For Polyphenols From Clausena Anisum-Olens Kernel , As Well As Their Antioxidant And Antibacterial Activities, Liao Jianhong, Su Xiufang, Zheng Guangjin, Li Ganghui

Food and Machinery

[Objective] To optimize the extraction process of polyphenols from Clausena anisum-olens kernel, and to analyze their in vitro antioxidant and antibacterial activities. [Methods] With ultrasonic temperature, power, time, as well as solid–liquid ratio and ethanol volume fraction as experimental factors, the response surface method was employed to optimize the ultrasonic extraction process of polyphenols from C. anisum-olens kernel. Furthermore, the in vitro antioxidant activity of the polyphenols was investigated via free radical scavenging assays, and the antibacterial activity was determined using the well diffusion method. [Results] The optimal extraction process is an ultrasonic power of 94 W, an ultrasonic time …

A Multi-Defect Detection System Based On Improved Yolov 8s And Morphological Features For Fragrant Pear Grading, Wang Jinkai, Wu Chenchen, Cheng Rouxin, Wu Rentao

Food and Machinery

[Objective] To address the high missed detection rate of defective fruits and poor grading accuracy in current post-harvest fragrant pear sorting. [Methods] On the basis of an existing visual inspection system for fragrant pears, a machine vision detection system integrating an improved YOLOv8s algorithm and multi-dimensional morphological features is designed. An ECA attention module is introduced to enhance the model sensitivity to subtle defects, enabling fast and precise localization and segmentation of pears. Conventional morphological feature extraction is employed to conduct multi-dimensional shape analysis for identifying and rejecting defective fruits. Pressure-sensitive sensors are then used to grade the remaining qualified …

Comparative Analysis Of Beef Quality From Bashan Region, Wan Xiaohui, Yao Pingbo, Zhang Duoduo, Ma Xiaowen, Tang Youxue, Liu Yongfeng

Food and Machinery

[Objective] To clarify the unique quality of beef from the Bashan region. [Methods] Xizhen cattle beef from the eastern, southern, south-central, central, and northern regions of Zhenba County, Shaanxi Province, is taken as the material to investigate the differences in nutritional quality (moisture, protein, fat, and minerals) and eating quality (color, texture, and flavor). [Results] Zhenba beef has unique qualities, such as high protein and total mineral content, compared with the nutrient composition of beef in the food nutrient composition database published by the National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention. For nutritional quality, …

Comparison And Optimization Of Glycoprotein Extraction Processes For Six Panax Medicinal Herbs Using Ultra-High Pressure Extraction Technology, Chang Fangyu, Zang Hao, Cheng Liye, Han Lusheng, Du Lianyun, Wang Enpeng

Food and Machinery

[Objective] To comprehensively compare and screen glycoprotein preparation processes for six representative medicinal materials from the genus Panax. [Methods] Glycoprotein yield, DPPH radical scavenging capacity, hydroxyl radical scavenging capacity, and Fe2+ chelation inhibition rate were used as evaluation indicators. Glycoprotein extraction rates and antioxidant activities of six medicinal materials, including P. ginseng, P. notoginseng, P. quinquefolius, P. japonicus (T. Nees) C. A. Mey., P. stipuleanatus H. T. Tsai & K. M. Feng, and P. bipinnatifidus Seem, were compared using traditional thermal extraction and ultra-high pressure processing (UHPP). The Box–Behnken response surface method was employed to optimize UHPP parameters for P. …