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Articles 2581 - 2610 of 1104556
Full-Text Articles in Entire DC Network
Macroscopic Momentum-Space Tomography: Utilizing High-Z Cryogenic Target Arrays As Resonant Phase-Retrieval Lenses For Substrate Interferometry, Christopher L. Eckes
Macroscopic Momentum-Space Tomography: Utilizing High-Z Cryogenic Target Arrays As Resonant Phase-Retrieval Lenses For Substrate Interferometry, Christopher L. Eckes
Defensive Publications Series
This paper introduces a formal engineering architecture to transition the Dimensionally Extended Holographic Projection (DEHP) model from numerical simulation to empirical instrumentation. Integrating the spatial phase-retrieval mechanics of 3D Photoemission Orbital Tomography (3D-POT) with the high-density containment engineering of deep-underground liquid xenon detectors, we outline a method for a macroscopic momentum-space microscope. Rather than treating the September 1, 2026 LUX-ZEPLIN 248 keV anomaly as an exogenous particle collision, we demonstrate that a high-Z condensed target array can function as an active, resonant phase-retrieval lens. We provide the complete mathematical tensor frameworks, specific material specifications, and structural engineering steps required to …
Detecting Scan Flop State Corruption During A Functional-To-Scandump Mode Transition Using Parallel Seed Initialization And Comparison, Sunder Garg, Prakash Narayanan, Krunal Siddhapathak, Shivam Sharma, Mayank Parasrampuria
Detecting Scan Flop State Corruption During A Functional-To-Scandump Mode Transition Using Parallel Seed Initialization And Comparison, Sunder Garg, Prakash Narayanan, Krunal Siddhapathak, Shivam Sharma, Mayank Parasrampuria
Defensive Publications Series
During silicon debug, a system-on-chip (SoC) captures its internal sequential state through a scan-based extraction step, referred to as Scandump. Moving the design from functional operation into Scandump mode is an asynchronous event, where a glitch on a reset or clock signal can toggle sequential elements and corrupt the captured state. This document describes a verification method that freezes the design with a global clock-stop signal, writes a known random seed in parallel into the scannable flip-flops (scan flops) as value A, moves the design into Scandump mode, and samples the resulting flop state in parallel as value B. Comparing …
Machine‑Learning Estimation Of Static Ir Drop In System‑On‑Chip Power Grids Using Gradient‑Boosted Regression And Image‑To‑Image Translation, Prateek Pendyala
Machine‑Learning Estimation Of Static Ir Drop In System‑On‑Chip Power Grids Using Gradient‑Boosted Regression And Image‑To‑Image Translation, Prateek Pendyala
Defensive Publications Series
Designing the power delivery network of a system‑on‑chip (SoC) involves repeated changes to the layout and to the power grid, and engineers conventionally re‑evaluate each change with a commercial static current‑resistance (IR) drop analysis. These analyses can run from tens of minutes to several hours across many compute workers, which lengthens each design iteration. This disclosure describes a machine‑learning approach that estimates per‑node static IR drop for multi‑million‑node power grids from electrical and spatial features of a design database. The approach provides two complimentary techniques: a gradient‑boosted decision‑tree regression that predicts incremental IR drop from extracted power and resistance features, …
Early Prediction Of Design‑Rule‑Check Violation Hotspots From Placement‑Stage Congestion Feature Maps Using A Fully Convolutional Network, Prateek Pendyala
Early Prediction Of Design‑Rule‑Check Violation Hotspots From Placement‑Stage Congestion Feature Maps Using A Fully Convolutional Network, Prateek Pendyala
Defensive Publications Series
In the physical design of a system‑on‑chip (SoC) layout, design‑rule‑check (DRC) violations often appear late, during detailed routing (a stage that can take days to complete and that may trigger repeated placement adjustments). This document describes a method that estimates where DRC violation hotspots may gather earlier in the process, working from feature maps that become available after placement and global routing. The method arranges these maps (macro regions, cell and pin densities, rectangular uniform wire density (RUDY) maps, and routing congestion) as multi‑channel two‑dimensional inputs to a fully convolutional network (FCN) built as a multi‑scale encoder‑decoder with skip connections …
Predictive, Time‑Scaled Scheduling Of Concurrent Workloads For Power And Thermal Management In A System On A Chip, Mohsen Heidarinejad, Farid Kenarangi, Arpit Mittal, Amin Khajeh
Predictive, Time‑Scaled Scheduling Of Concurrent Workloads For Power And Thermal Management In A System On A Chip, Mohsen Heidarinejad, Farid Kenarangi, Arpit Mittal, Amin Khajeh
Defensive Publications Series
A system on a chip (SoC) that runs several workloads at the same time can experience uneven power draw, localized heating, and reduced responsiveness when it relies on a fixed policy that treats the die as uniform. This document describes a closed‑loop framework that observes on‑die temperature and power, estimates power for subsystems without direct sensors, and predicts near‑term spikes and longer‑term demand from queued work. Using these estimates, the framework stretches or compresses task timelines and recommends per‑subsystem power caps, which a control layer applies through operating‑point adjustment, clock and power gating, and task migration. A supervisory layer then …
When The Protocol Decides - Replay-Ready Infrastructure For Programmable Financial Institutions, Deepak Aggarwal
When The Protocol Decides - Replay-Ready Infrastructure For Programmable Financial Institutions, Deepak Aggarwal
Defensive Publications Series
The rails are becoming intelligent. The governance frameworks developed to manage them remain as before. In the ASEAN+3 group, the financial infrastructure stack is undergoing redesign, starting from the message layer upward. Project Nexus connects national payment systems at near-real-time speeds. ISO 20022 incorporates compliance controls within the financial messages themselves. Project Agorá brings programmable settlement to a distributed ledger. AI is parsing liquidity, fraud, identity, and credit information even before humans can see the information.
This paper presents a simple yet powerful illustration of its main thesis: One decision, three jurisdictions, seven seconds. Decision chains start unfolding themselves at …
The Irrecoverable Institution - Why Replayability - Not Explainability - Is The Governance Standard For Agentic Banking, Deepak Aggarwal
The Irrecoverable Institution - Why Replayability - Not Explainability - Is The Governance Standard For Agentic Banking, Deepak Aggarwal
Defensive Publications Series
Financial institutions have accelerated the deployment of Agentic AI systems. These systems have the capabilities to make decisions and are operating faster than any governance mechanism can respond. However, when such decisions go wrong, the biggest cost incurred is not due to their very first mistake, but because the financial institution lacks the capability of replaying and governing the decision path until other costs increase significantly.
The objective of this paper is to propose Decision Replay as the base governance framework for agentic financial institutions, which would be the capability to replay and govern decisions at any moment, via any …
Banking Rewired - Reimagining The Future Of Banking In A Protocol-Driven World, Deepak Aggarwal
Banking Rewired - Reimagining The Future Of Banking In A Protocol-Driven World, Deepak Aggarwal
Defensive Publications Series
The World is Changed. Has Your Bank?
A fintech executive in New York, USA. An AI researcher in Amsterdam, Netherlands. An MSME owner in Bengaluru, India. Each of them interacts with money not by logging in but living. Money flows, credit adjusts, identity streams, and ethics calculate, all ambiently, intelligently, and consent driven. Not science fiction. This is the shape of banking in a programmable world. Banks are at a crossroads. The question is no longer: "How digital are we?" It is: "How programmable, ethical, and modular is our institution?"
Four Strategic Shifts Redefining the Future Bank
1. From Platform …
System And Method For Elemental Decomposition-Based Provenance Attribution Of Ai-Generated Audio, Eric Zavesky
System And Method For Elemental Decomposition-Based Provenance Attribution Of Ai-Generated Audio, Eric Zavesky
Defensive Publications Series
A system and method determine whether a candidate audio catalog contributed to the training of a generative audio model. An elemental encoder decomposes generated audio and catalog items into elemental embeddings corresponding to aesthetic elements including melodic contour, harmonic progression, rhythmic pattern, and timbral palette. A segmentation engine defines regions of the generated output for scoped analysis. Within each element independently, instance-level scores compare output regions against catalog items while distribution-level alignment compares the catalog's element distributions against distributions over model-generated outputs relative to a reference set. A multi-order analyzer scores recurrence patterns, including motif persistence. A provenance scorer combines …
Localized Generation Of Privacy-Preserving Ambient Chronicles, Karl Tao, Gaurav Arora
Localized Generation Of Privacy-Preserving Ambient Chronicles, Karl Tao, Gaurav Arora
Defensive Publications Series
A system is disclosed for generating a localized activity chronicle within a private environment. Local cameras capture sparse static snapshots of room environments over a local network. A local smart hub platform receives each snapshot directly into an ephemeral, volatile memory buffer. An on-device vision model, such as a quantized vision-language model executed by a local hardware neural processing unit or other local processing resource, processes the snapshot to generate a time-stamped natural-language description of activities within the private environment. Immediately following text generation, the raw snapshot is purged from the volatile memory, preventing raw image data from being stored …
Wearable Apparatus Configured For Ambient Marker Sensing And Application Actions, Carlos Henrique Esteves Mendonca, Joost Korngold
Wearable Apparatus Configured For Ambient Marker Sensing And Application Actions, Carlos Henrique Esteves Mendonca, Joost Korngold
Defensive Publications Series
Transactions involving physical objects often require manual interaction with a mobile device, such as opening a camera application to scan a visual marker, resulting in an interruptive and multi-step process. A wearable extended reality apparatus or device (e.g., smart glasses) is described that may be configured for hands-free processing of digital transactions. The device can use an ambient camera to sense visual markers in an environment. To establish user intent, a dwell mechanism may evaluate gaze duration before triggering a secondary image capture. The device is configured to decode a uniform resource identifier from the visual marker and link to …
Ai-Driven Browser Automation System For Attribute-Based Resource Access, Benjamin Albert Azose, Akancha Murlidhar Gupta, Theodore Thomas Olsauskas-Warren
Ai-Driven Browser Automation System For Attribute-Based Resource Access, Benjamin Albert Azose, Akancha Murlidhar Gupta, Theodore Thomas Olsauskas-Warren
Defensive Publications Series
An AI-driven browser agent framework is disclosed to facilitate attribute-based access to resources by enabling resource access decisions based on user or account characteristics rather than transferable authorization mechanisms. With user permission, the framework allows a browser agent to communicate user credentials, selected eligibility-related information requested by a resource provider for evaluating predefined eligibility criteria associated with a requested resource. Based on the evaluation, the browser agent may be granted immediate access to a resource acquisition workflow, assigned access at a future date or time, placed into a waiting queue, or denied access. By supporting multiple communication mechanisms, coordinated admission …
Cross-Surface Ad Narrative Orchestration Using Llm Sequential Reasoning With Engagement-Responsive Story Branching, Tamar Yakar, Ilia Labzovsky, N/A
Cross-Surface Ad Narrative Orchestration Using Llm Sequential Reasoning With Engagement-Responsive Story Branching, Tamar Yakar, Ilia Labzovsky, N/A
Defensive Publications Series
A system orchestrates stateful, multi-chapter advertising narratives across different digital platforms within real-time bidding environments. The system separates the ad-serving process into an asynchronous control plane for computationally intensive planning and a synchronous data plane for low-latency auction execution. The asynchronous control plane uses a large language model (LLM) to generate a narrative directed acyclic graph (NDAG) that defines a story arc with branching logic based on potential user engagement. The system then compiles this narrative graph into a deterministic state transition matrix for execution at the network edge. To track user progression, the synchronous data plane uses a compact …
Energy Transition And Economic Diversification In Saudi Arabia, 2005–2025, Amani Mohammed Aldukhail
Energy Transition And Economic Diversification In Saudi Arabia, 2005–2025, Amani Mohammed Aldukhail
Scientific Journal of King Faisal University: Humanities and Management Sciences
This study explores the co-evolution of energy transition and economic diversification in Saudi Arabia during 2005–2025. It addresses the limited historical integration of energy-transition and diversification indicators in the Saudi context. Using a descriptive and analytical design based on secondary data, official statistics, international reports and national policy documents, the research identifies trends in renewable-energy capacity, electricity-mix reform, emissions pledges, non-oil sector performance, oil-sector developments and fiscal sustainability. The findings suggest that Saudi Arabia's energy transition has moved beyond mere policy rhetoric, particularly through plans to move away from liquid fuels in power generation and further develop renewables. Nonetheless, this …
Domain-Specific And Sex-Dependent Behavioral Alterations In The Btbr Mouse Model Of Autism, Jacob Jackson, Conlan Houston, Miles Cornils, Ethan Plummer, Chunxiu Yu
Domain-Specific And Sex-Dependent Behavioral Alterations In The Btbr Mouse Model Of Autism, Jacob Jackson, Conlan Houston, Miles Cornils, Ethan Plummer, Chunxiu Yu
Michigan Tech Publications
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication deficits and restricted, repetitive behaviors, often accompanied by motor, cognitive, and anxiety-related alterations. Although ASD is diagnosed more frequently in males than females, females remain underrepresented in preclinical studies, limiting understanding of sex-dependent phenotypes. The BTBR T+ Itpr3tf/J (BTBR) mouse strain is a widely used animal model of ASD, yet its sex-specific behavioral profiles across functional domains remain incompletely characterized. Here, we conducted a systematic, multi-domain behavioral assessment in male and female BTBR mice and wild-type (WT) controls, examining action control, motor learning, social behavior, …
Irrigation Management With A Field Water Balance And Virus Incidence In Dahlia Cut Flowers, Chloe Seeborg, Melanie Stock, Claudia Nischwitz, Xin Dai, Cambry Adams, Burdette Barker
Irrigation Management With A Field Water Balance And Virus Incidence In Dahlia Cut Flowers, Chloe Seeborg, Melanie Stock, Claudia Nischwitz, Xin Dai, Cambry Adams, Burdette Barker
Plants, Soils and Climate Student Research
Irrigation guidelines are needed for the field production of emerging specialty crops to support the sustainability and economic viability of small farms. The goal of this study was to establish crop coefficients (Kc) of dahlia (Dahlia × hybrida), a popular, profitable cut flower crop, while documenting virus infection. A two-year field study was conducted with two industry-important cultivars that vary in production timing and bloom: ‘Boom Boom White’, an earlier and mid-sized formal decorative, and ‘Café au Lait’, a later and large informal decorative bloom type. A field water balance was used to evaluate five irrigation …
Landscape Greening Following Unseasonal Precipitation Along A Desert–Alpine Gradient, Christian John, Bradyn O’Connor, Thomas R. Stephenson, Eric Post
Landscape Greening Following Unseasonal Precipitation Along A Desert–Alpine Gradient, Christian John, Bradyn O’Connor, Thomas R. Stephenson, Eric Post
Michigan Tech Publications
In seasonally arid systems, where water is a key limiting resource, unseasonal precipitation events may promote landscape greening. Because herbivores track spatial variation in fresh plant growth, dry-season precipitation could be an important catalyst of out-of-season foraging opportunities in seasonal arid environments. The eastern escarpment of California’s Sierra Nevada Mountains in the western United States features an intense ecoclimatic gradient from the Owens Valley’s cold desert to the High Sierra’s alpine tundra, in which patterns of temperature and precipitation vary seasonally and elevationally, and along which critically endangered Sierra Nevada bighorn sheep (“Sierra bighorn”) migrate seasonally. Immediately preceding the unusually …
Employee Salary Report [University Of Missouri - St. Louis] 2026, University Of Missouri-St. Louis
Employee Salary Report [University Of Missouri - St. Louis] 2026, University Of Missouri-St. Louis
UMSL Salary Report
No abstract provided.
My Love Story With Hifs In The Disc: A Journey To The Humboldt Research Award, Makarand V. Risbud
My Love Story With Hifs In The Disc: A Journey To The Humboldt Research Award, Makarand V. Risbud
Department of Orthopaedic Surgery Faculty Papers
The intervertebral disc is a prime example of tissue adaptation to metabolic and mechanical extremes. As the largest avascular organ in the human body, the disc and the central nucleus pulposus (NP) endure constant compressive loading while sustaining a hypoxic, relatively acidic, and hyperosmotic microenvironment that would be inhospitable to most cell types. Over the past two decades, work from my laboratory has revealed extraordinary details of this type of adaptation, that hypoxia-inducible factors (HIFs), particularly HIF-1α, serve as master regulators of NP cell survival, metabolism, and matrix homeostasis. This review chronicles the scientific and personal journey that began with …
Mythbusting Cybersecurity Information Sharing And Antitrust, Terence Check
Mythbusting Cybersecurity Information Sharing And Antitrust, Terence Check
Journal of Business & Technology Law
No abstract provided.
Programmed To Please, Optimized For Obsession, Ela Ender
Programmed To Please, Optimized For Obsession, Ela Ender
Journal of Business & Technology Law
No abstract provided.
Hydration-Tunable Ionic Liquid-In-Oil Microemulsions For Increased Transdermal Delivery Of High-Molecular-Weight Proteins, Roy Jabidash, Kiyohiro Toyofuku, Rie Wakabayashi, Yoshirou Kawaguchi, Noriho Jeffrey Kamiya, Muhammad Moniruzzaman, Masahiro Goto
Hydration-Tunable Ionic Liquid-In-Oil Microemulsions For Increased Transdermal Delivery Of High-Molecular-Weight Proteins, Roy Jabidash, Kiyohiro Toyofuku, Rie Wakabayashi, Yoshirou Kawaguchi, Noriho Jeffrey Kamiya, Muhammad Moniruzzaman, Masahiro Goto
Publications and Research
Transdermal delivery of high-molecular-weight proteins is challenging because of their large molecular size and hydrophilicity, and the barrier properties of the stratum corneum. We report a hydrated ionic liquid-in-oil (HIL/O) microemulsion for transdermal delivery of high-molecular-weight proteins. A biocompatible ionic liquid (IL) composed of cholinium cation and propionate anion, optimized at 45 wt% hydration, was developed as a protein-compatible solubilization medium that dissolved ovalbumin (molecular mass ∼ 45 kDa) and bovine serum albumin (molecular mass ∼ 66 kDa), whereas lower hydration levels were insufficient for effective protein dissolution. Following solubilization, circular dichroism spectroscopy showed recovery of the native-like secondary structures …
Motivating Second-Order Differential Equation Models Beyond The Spring–Mass System, Katherine E. Rutherford, John C. Borger
Motivating Second-Order Differential Equation Models Beyond The Spring–Mass System, Katherine E. Rutherford, John C. Borger
CODEE Journal
Students in introductory differential equations courses often learn to associate specific equation types with familiar physical systems. While this approach supports procedural fluency, it can inhibit transfer learning: students recognize familiar forms rather than construct models from first principles. This paper presents a modeling-first instructional approach designed to help students recognize the shared structure of second-order differential equations across diverse contexts. Students derive governing equations from fundamental physical laws for multiple systems, including an Inductor, Resistor, and Capacitor (LRC) electrical circuit, a simple pendulum, and viscous pipe flow. Through guided comparison, students identify common components such as inertia, damping, restoring …
The Bg News September 2, 2026, Bowling Green State University
The Bg News September 2, 2026, Bowling Green State University
BG News (Student Newspaper)
The BGSU campus student newspaper. September 2, 2026. Volume 106-Issue 02.
Re: Butte Priority Soils Operable Unit Draft Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan: Bres No. 46 – Missoula Mine, Mike Mcanulty
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Butte Priority Soils Operable Unit Draft Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan: Bres No 135 – Washoe Sampling Works, Mike Mcanulty
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Megawatts, But Few Permanent Jobs? An Agent-Assisted Evidence Review Of The Data-Centre Construction Cliff, M. Reza Hosseini, Abdolmajid Erfani, Ania Khodabakhshian, Farzad Rahimian
Megawatts, But Few Permanent Jobs? An Agent-Assisted Evidence Review Of The Data-Centre Construction Cliff, M. Reza Hosseini, Abdolmajid Erfani, Ania Khodabakhshian, Farzad Rahimian
Michigan Tech Publications
Purpose – Data-centre capacity is expanding rapidly, yet job claims vary by an order of magnitude. This paper synthesises quantitative evidence on facility-attributable construction and operational employment, separates direct jobs from wider multiplier-supported employment, and benchmarks data centres against energy and other built-asset comparators. Design/methodology/approach – A documented protocol governed an agent-assisted evidence synthesis: two search streams, deterministic identifier checks, record-level source review and six-layer coding. Roughly 4, 545 candidate mentions across about 591 records were harmonised to 44 rows from 20 sources. All 44 rows have completed source-verification records; no independent double coding is claimed. Estimates were compared within, …
Variability In Nutrient And Carbon Cycling Of Constructed Marshes, Alyssa Leclaire, Jenny Davis, Molly Bost, David De La Garza
Variability In Nutrient And Carbon Cycling Of Constructed Marshes, Alyssa Leclaire, Jenny Davis, Molly Bost, David De La Garza
School of Earth, Environmental, & Marine Sciences Faculty Publications
Salt marshes provide valuable ecosystem services, including filtering nutrients and trapping sediments from the water column, but are increasingly threatened by sea-level rise and coastal development. Constructed marshes offer a potential pathway to offsetting marsh loss, but the extent to which they can replace the ecosystem services provided by mature natural marshes is not well understood. Using a chronosequence of constructed marshes (1, 21, and 44 years old) and a natural reference marsh (>100y old) in Beaufort, NC, we assessed the development of plant communities, sediment characteristics, and nutrient and carbon cycling over time. We compared aboveground biomass, surface …
Ecofriendly Synthesis Of Silver Nanoparticles As Antimicrobial Active Agents From Its Cationic Precursors, Abdul Haris Watoni Watoni
Ecofriendly Synthesis Of Silver Nanoparticles As Antimicrobial Active Agents From Its Cationic Precursors, Abdul Haris Watoni Watoni
Chimica et Natura Acta
This review presents a comprehensive survey on the green synthesis of silver nanoparticles from silver nitrate precursor using plant extracts along with their characterization and antimicrobial activity assessment. The synthesis of silver nanoparticles through a green chemistry approach is increasingly in demand because it is environmentally friendly, easy to do, and efficient, especially for the purpose of antimicrobial active ingredients in disinfectant and antiseptic formulas. Green synthesis of silver nanoparticles can be carried out using silver nitrate as a silver precursor and plant extracts as a source of bioreductants and capping agents. The synthesis products are then characterized using UV-Vis …
Research And Innovation Update, September 2, 2026, Office Of The Vice President For Research And Innovation
Research And Innovation Update, September 2, 2026, Office Of The Vice President For Research And Innovation
Office of Research, Economic Engagement and Outreach
No abstract provided.