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Showing 40093 results for "nursing" in Computer Science
Computer Science Preprint PDF DOI

Efficient Multivector Retrieval with Token-Aware Clustering and Hierarchical Indexing

Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini ยท 2026

Multivector retrieval models achieve state-of-the-art effectiveness through fine-grained token-level representations, but their deployment incurs substantial computational and memory costs. Current soโ€ฆ

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Measuring research data reuse in scholarly publications using generative artificial intelligence: Open Science Indicator development and preliminary results

Lauren Cadwallader, Iain Hrynaszkiewicz, parth sarin, Tim Vines ยท 2026

Numerous metascience studies and other initiatives have begun to monitor the prevalence of open science practices when it is more important to understand the 'downstream' effects or impacts of open scโ€ฆ

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When and How AI Should Assist Brainstorming for AI Impact Assessment

Jarod Govers, Sanja Scepanovic, Daniele Quercia ยท 2026

A key task in AI practice is to assess potential impacts to prevent harm. Current AI tools assisting AI impact assessment have not been designed or evaluated for collaborative team brainstorming, and โ€ฆ

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Computing Witnesses Using the SCAN Algorithm

Fabian Achammer, Stefan Hetzl, Renate A. Schmidt ยท 2026

Second-order quantifier elimination is the problem of finding, given a formula with second-order quantifiers, a logically equivalent first-order formula. While such formulas are not computable in geneโ€ฆ

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ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training

Wenxiang Lin, Xinglin Pan, Ruibo Fan, Shaohuai Shi, Xiaowen Chu ยท 2026

Communication has emerged as a critical bottleneck in the distributed training of large language models (LLMs). While numerous approaches have been proposed to reduce communication overhead, the potenโ€ฆ

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Test Before You Deploy: Governing Updates in the LLM Supply Chain

Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue Li ยท 2026

Large Language Models (LLMs) are increasingly used as core dependencies in software systems. However, the hosted LLM services evolve continuously through provider-side updates without explicit versionโ€ฆ

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Line Segment Clipping using Quadrilateral Concavity and Convexity

Bimal Kumar Ray ยท 2026

This paper proposes an algorithm for clipping line segment against an axis-aligned rectangular window. The conventional algorithms for line segment clipping treat the clipping boundary and/or the lineโ€ฆ

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SandSim: Curve-Guided Gaussian Splatting for Reconstructing Sand Painting Processes

Yilin Wang, Haojie Huang, Chen Li, Yang Li, Changbo Wang, Chenhui Li ยท 2026

Sand painting is a process-driven art where visual appearance emerges from granular accumulation. Given a single image, reconstructing a plausible sand painting process requires modeling coherent stroโ€ฆ

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A Longitudinal Analysis of Good First Issue Practices and Newcomer Pull Requests in Popular OSS Projects

Hirotatsu Hoshikawa, Hidetake Tanaka, Kazumasa Shimari, Raula Gaikovina Kula, Kenichi Matsumoto ยท 2026

Open-source software (OSS) projects rely on effective newcomer onboarding to sustain their communities. OSS projects widely adopt "good first issue" (GFI) labels to highlight beginner-friendly tasks. โ€ฆ

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From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation

Boyuan Gu, Yijin Yang, Shuaiqi Cheng, Xiaorong Ding ยท 2026

Cuffless blood pressure (BP) estimation based on Pulse Transit Time (PTT) has emerged as a promising solution for continuous health monitoring. However, conventional models relying on the Moens-Kortewโ€ฆ

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Why Learners Drift In and Out: Examining Intermittent Discontinuance in AI-Mediated Informal Digital English Learning (AI-IDLE) Using SEM and fsQCA

Yiran Du, Huimin He ยท 2026

This study examined intermittent discontinuance in AI-mediated informal digital learning of English (AI-IDLE) through the cognition-affect-conation framework. Survey data were collected from 632 Chineโ€ฆ

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RCW-CIM: A Digital CIM-based LLM Accelerator with Read-Compute/Write

Yan-Cheng Guo, Tian-Sheuan Chang, Jian-Wei Su ยท 2026

Digital computing-in-memory (DCIM) has emerged as a promising solution for large language model (LLM) acceleration by minimizing data transfers between external DRAM and on-chip accelerators while maiโ€ฆ

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Exploring the Adoption Intention in Using AI-Enabled Educational Tools Among Preservice Teachers in the Philippines: A Partial-Least Square Modeling

Vanessa B. Sibug, Emerson Q. Fernando, Almer B. Gamboa, Roque Francis B. Dianelo, Agnes R. Regala, Joseph Alexander Bansil, Jan Henry B. Sunga, Vernon Grace M. Maniago, John Paul P. Miranda ยท 2026

This study examines the factors influencing pre-service teachers' behavioral intention to use AI-enabled educational tools during their practicum, using the Unified Theory of Acceptance and Use of Tecโ€ฆ

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Pragmos: A Process Agentic Modeling System

Pedro-Aaron Hernandez-Avalos, Luciano Garcia-Banuelos ยท 2026

The advent of Large Language Models (LLMs) has significantly transformed tasks across Software Engineering. In the context of Business Process Management, LLMs are now being explored as tools to derivโ€ฆ

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Static Attribution of Android Residential Proxy Malware Using Graph Kernels

Peter Clark, Yong Guan, Zhonghao Liao ยท 2026

Android residential proxy applications represent a growing class of potentially-unwanted programs (PUPs) that covertly route third-party traffic through end-user devices, enabling ad fraud, credentialโ€ฆ

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Evaluating Epistemic Guardrails in AI Reading Assistants: A Behavioral Audit of a Minimal Prototype

Matthew Christian Agustin ยท 2026

Large language model (LLM) reading assistants are increasingly used in settings that require interpretation rather than simple retrieval. In these contexts, the central risk is not only error or unsafโ€ฆ

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Unified Data Discovery across Query Modalities and User Intents

Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Shazia Sadiq, Volkan Dedeoglu, Reza Arablouei ยท 2026

Data discovery - retrieving relevant tables from a data lake in response to user queries - is a fundamental building block for downstream analytics. In practice, data discovery must support different โ€ฆ

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SafeTune: Mitigating Data Poisoning in LLM Fine-Tuning for RTL Code Generation

Mahshid Rezakhani, Nowfel Mashnoor, Kimia Azar, Hadi Kamali ยท 2026

As large language models (LLMs) are increasingly fine-tuned for hardware tasks like RTL code generation, the scarcity of high-quality datasets often leads to the use of rapidly assembled or generated โ€ฆ

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What Suppresses Nash Equilibrium Play in Large Language Models? Mechanistic Evidence and Causal Control

Paraskevas V. Lekeas, Giorgos Stamatopoulos ยท 2026

LLM agents are known to deviate from Nash equilibria in strategic interactions, but nobody has looked inside the model to understand why, or asked whether the deviation can be reversed. We do both. โ€ฆ

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A Gated Hybrid Contrastive Collaborative Filtering Recommendation

Eduardo Ferreira da Silva, Mayki dos Santos Oliveira, Joel Machado Pires, Denis Dantas Boaventura, Maycon Maciel Peixoto, Cassio Serafim Prazeres, Gustavo Bittencourt Figueiredo, Miriam Capretz, Frederico Araujo Durao ยท 2026

Recommender systems increasingly incorporate textual reviews to enrich user and item representations. However, most review-aware models remain optimized for rating prediction rather than ranking qualiโ€ฆ

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