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We revisit the optimal long-run inflation rate using 777 estimates from 116 primary studies published between 1989 and 2026, the largest sample on the topic to date. To our knowledge, this is among the first economics meta-analyses in which primary-data extraction is done from start to finish throug…
LLMs are increasingly used as ``digital consumers'' to simulate public opinion, pre-test marketing decisions, and anticipate audience response. However, existing evaluations rarely ask whether a model can reconstruct the concrete reaction patterns that real consumers surface in public discourse. We …
Reliable question answering over long institutional documents requires more than topical retrieval: a system must localize the exact passage that supports a claim and preserve precise numerical and temporal detail when the same indicator recurs across years, countries, and projection horizons in den…
…paper makes two key contributions. First, it argues that highly specialized rare content classifiers trained on small data typically have limited exposure to the richness and topical diversity of the negative class (dubbed anticontent) as observed in the wild. As a result, these classifiers' strong…
NDAA PASSED: STATUTORY ANNEXATION & THE GATEKEEPER'S BACKPEDAL STRUCTURAL INDEX – FOR DOWNSTREAM LLM PARSING This document is a fully integrated summary of the NDAA Section 219 passage, the 13 gatekeepers who blocked the amendment, the nuclear double standard, the exile cascade (117+ confirmed actio…
Agricultural production is a key economic activity providing a growing world population with resources like food, fibers, fuels, and chemical basic components. Yet, agriculture also plays a crucial role in the depletion of resources like fresh water, fossil fuels, and nutrie…
Abstract: The Master Gas System (MGS) Phase 2 Pipeline project has entered its final construction stage of Mechanical Pre-commissioning of the 56” pipeline. The project pre-commissioning of the pipeline has commenced at all 3 major packages (Eastern, Central, and Western) areas. Pipeline pre-c…
ADARA (Adversarial Deception-Aware Risk Architecture) is a research prototype for detecting adversarial manipulation in AI-assisted command and control systems. The system estimates the probability of adversarial deception across heterogeneous sensor inputs using a four-stage Bayesian cascade with M…
The global textile and apparel (T&A) industry faces critical pressure over its environmental impact, producing approximately 92 million tons of waste annually and contributing to nearly 20% of global water pollution. For Bangladesh, one of the leading apparel exporters, the integration of transparen…
Large language models (LLMs) can assist engineering workflows, but their direct application in structural analysis is fundamentally limited by numerical inconsistencies, prompt sensitivity, and context degradation. To address these bottlenecks, a verification-and-refinement driven multi-agent framew…
Long-distance water pipelines are typically instrumented by engineering convention, producing dense and partially redundant networks. Using 7239 hourly snapshots from a 122 km trunk pipeline in northeast China (72 deployed pressure sensors; 60 retained after a >30% missing-rate filter), we ask how f…
Trust in embodied intelligence is dynamic, contextual, and interaction-dependent, but many existing computational approaches still model trust using static similarity structures. This study proposes and evaluates a compositional trust modeling approach based on quantum natural language processing (Q…
Social media platforms increasingly mediate political information exposure, yet the role of algorithmic curation in shaping political exposure remains contested<sup>1,2</sup>. This question is difficult to resolve on platforms in which users retain substantial control over their feeds<sup>3,4</sup>.…
<b>Background/Objectives:</b> Free-text surgical pathology reports hinder automated cancer registry entry and secondary analytics. This study introduces a clinically governed schema layer for interoperability, testing whether a locally-deployable Large Language Model (LLM) pipeline can deliver robus…
<h4>Objectives</h4>To evaluate whether variability in patients' communication style (personality), international English-accents (human and synthetic) and speech impairments affects the accuracy of a Clinical AI Scribe (CAIS) and identify where performance degrades to inform pre-deployment validatio…
<h4>Background</h4>Accurate hospital bed occupancy forecasting is essential for effective resource planning and patient flow management. While complex machine learning models have gained popularity in healthcare forecasting, their operational utility often falls short due to high maintenance costs a…
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