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Physics Preprint PDF DOI

Yukawa screening derivation of the bond-valence rule

Michael L. Whittaker, Pan Wang, Chunhui Li, Naman Katyal, Piotr Zarzycki · 2026

The bond-valence model is a standard way to estimate bond strengths in crystals, but its exponential dependence on bond length has lacked a derivation from a specific physical interaction. We show tha…

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Physics Preprint PDF DOI

A nanoionic diode: Equilibrium rectifying junction enabling large and stable resistance variations

Chuanlian Xiao, Joachim Maier · 2026

We report on a new type of rectifier which is in full contact equilibrium and thus, if down-sized to the nanoscale, shows no drift even if exposed to elevated temperatures and/or extreme waiting times…

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Physics Preprint PDF DOI

Towards High Performance Quantum Computing (HPQ): Parallelisation of the Hamiltonian Auto Decomposition Optimisation Framework (HADOF)

Namasi G Sankar, Georgios Miliotis, Simon Caton · 2026

Practical applicability of quantum optimisation on near term devices is constrained by limited qubit counts and hardware noise, which restricts the scalability of quantum optimisation algorithms for c…

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Mathematics Preprint PDF DOI

Holomorphic Jet Modules and Holomorphic Connections for Noncommutative Complex Curves

Indranil Biswas, Satyajit Guin, Pradip Kumar · 2026

We extend Atiyah's holomorphic jet bundle formalism to holomorphic vector bundles over noncommutative algebras endowed with a bigraded differential calculus truncated at bidegree $(1,1)$; we refer to …

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Computer Science Preprint PDF DOI

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 · 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 Tec…

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Engineering Preprint PDF DOI

Regime-Adaptive Weighted Ensemble Learning for Computing-Driven Dynamic Load Forecasting in AI Data Centers

Ziying Wang, Ying Zhang, Lei Wang, Yuzhang Lin · 2026

Short-term load forecasting for AI data centers presents new challenges because it is computing-driven, with heterogeneous job arrivals, sizes, and durations exhibiting bursty, non-stationary dynamics…

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Engineering Preprint PDF DOI

Real-Time GPU-Accelerated Monte Carlo Evaluation of Safety-Critical AEB Systems Under Uncertainty

Akshay Karjol, Shadi Alawneh · 2026

Automatic Emergency Braking (AEB) systems represent a safety-critical national interest, with the National Highway Traffic Safety Administration (NHTSA) Federal Motor Vehicle Safety Standard (FMVSS No…

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AI & Data Science Preprint PDF DOI

Lightweight Distillation of SAM 3 and DINOv3 for Edge-Deployable Individual-Level Livestock Monitoring and Longitudinal Visual Analytics

Haiyu Yang, Miel Hostens · 2026

Foundation-model pipelines for individual-level livestock monitoring -- combining open-vocabulary detection, promptable video segmentation, and self-supervised visual embeddings -- have raised the acc…

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Computer Science Preprint PDF DOI

Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows

Sajel Surati, Rosanna Bellini, Emily Black · 2026

When generative AI (genAI) systems are used in high-stakes decision-making, its recommended role is to aid, rather than replace, human decision-making. However, there is little empirical exploration o…

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Computer Science Preprint PDF DOI

Understanding the Skills Gap between Higher Education Institutions and the Software Engineering Industry

Huy Phan, Ievgeniia Kuzminykh, Bogdan Ghita · 2026

In the rapidly evolving field of software engineering, the skills required of graduates entering the job market are constantly changing. Several studies have identified a gap between the skills taught…

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Computer Science Preprint PDF DOI

DMRlib: Easy-coding and Efficient Resource Management for Job Malleability

Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Orti, Antonio J. Pena · 2026

Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. H…

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Physics Preprint PDF DOI

Integrable Deformations of the Breitenlohner-Maison Model from 4d Chern-Simons Theory

Meer Ashwinkumar, Matthias Blau · 2026

We derive integrable deformations of the 2d Breitenlohner-Maison (BM) sigma model that describes the stationary, axisymmetric sector of 4d general relativity, as well as higher-rank generalisations th…

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AI & Data Science Preprint PDF DOI

Adaptive and Fine-grained Module-wise Expert Pruning for Efficient LoRA-MoE Fine-Tuning

Weihang Li, Jianchun Liu, Hongli Xu · 2026

LoRA-MoE has emerged as an effective paradigm for parameter-efficient fine-tuning, combining the low training cost of LoRA with the increased adaptation capacity of Mixture-of-Experts (MoE). However, …

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AI & Data Science Preprint PDF DOI

Pythia: Toward Predictability-Driven Agent-Native LLM Serving

Shan Yu, Junyi Shu, Yuanjiang Ni, Kun Qian, Xue Li, Yang Wang, Jinyuan Zhang, Ziyi Xu, Shuo Yang, Lingjun Zhu, Ennan Zhai, Qingda Lu, Jiarong Xing, Youyou Lu, Xin Jin, Xuanzhe Liu, Harry Xu · 2026

As LLM applications grow more complex, developers are increasingly adopting multi-agent architectures to decompose workflows into specialized, collaborative components, introducing structure that cons…

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AI & Data Science Preprint PDF DOI

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling

Fan Jiang, Yu Zhao, Chenyang Lyu, Tianqi Shi, Yichao Du, Feihu Jiang, Longyue Wang, Weihua Luo · 2026

We present Marco-MoE, a suite of fully open multilingual sparse Mixture-of-Experts (MoE) models. Marco-MoE features a highly sparse design in which only around 5\% of the total parameters are activate…

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AI & Data Science Preprint PDF DOI

FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices

Changyu Li, Shuanghong Huang, Jiashen Liu, Ming Lei, Jidu Xing, Kaishun Wu, Lu Wang, Fei Luo · 2026

Federated fine-tuning provides a practical route to adapt large language models (LLMs) on edge devices without centralizing private data, yet in mobile deployments the training wall-clock is often bot…

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Computer Science Preprint PDF DOI

Job-Scheduling Games with Time-Dependent Processing Times

Ido Borenstein, Tami Tamir · 2026

Job-scheduling games have traditionally assumed fixed processing times. However, in many realistic environments, ranging from cyber-security response to high-frequency trading, a task's duration depen…

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AI & Data Science Preprint PDF DOI

DenseScout: Algorithm-System Co-design for Budgeted Tiny Object Selection on Edge Platforms

Xiong Zhouzhi, Zimo Zeng, Yi Chen, Shuqi Xu, Yunfeng Yan, Donglian Qi · 2026

Deploying tiny object perception on edge platforms is challenging because practical systems must satisfy both strict compute budgets and end-to-end latency constraints. A common strategy is to first s…

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Physics Preprint PDF DOI

A nonabelian Wilson surface on a lattice

Andreas Gustavsson · 2026

We analyze the nonabelian surface holonomy on a bipartite hypercubic lattice following a proposal in arXiv:1002.4636 [hep-th]. The bipartite structure of the lattice enables us to introduce spike stri…

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Mathematics Preprint PDF DOI

On the Determinant of K\H{o}nig-Egerv\'ary Graphs

Kevin Pereyra · 2026

Several graph decompositions that factorize the determinant of the adjacency matrix isolate a K\H{o}nig-Egerv\'ary part, such as the SD--KE decomposition and the critical independence decomposition of…

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