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Physics Preprint PDF DOI

Second harmonic generation and third harmonic generation in topological insulator-based van der Waals metamaterials

Alessandra Di Gaspare, Sara Ghayeb, Craig Knox, Edmund H. Linfield, Joshua Freeman, Miriam S. Vitiello · 2026

High-order harmonic generation (HHG) in solids - the frequency up-conversion of an optical signal - is governed by symmetries. At terahertz (THz) frequencies, HHG is a key technology to access high fr…

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AI & Data Science Preprint PDF DOI

Multi-Level Narrative Evaluation Outperforms Lexical Features for Mental Health

Yuxi Ma, Jieming Cui, Muyang Li, Ye Zhao, Yu Li, Yixuan Wang, Chi Zhang, Yinyin Zang, Yixin Zhu · 2026

How people narrate their experiences offers a window into how the mind organizes them. Computational approaches to therapeutic writing have evolved from lexical counting to neural methods, yet remain …

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Mathematics Preprint PDF DOI

An improved non-linear Roth-type theorem in finite fields

Mark Lewko · 2026

Let $F$ be a finite field of odd characteristic. We prove that any set $A\subset F$ with $|A|\geq C|F|^{5/6}$ contains a nontrivial quadratic progression $(x, x+y, x+y^2), y\neq 0.$ For prime fields, …

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AI & Data Science Preprint PDF DOI

Robust inference methods of diagnostic test accuracy meta-analysis for influential outlying studies via density power divergence

Kotaro Sasaki, Hisashi Noma, Theodoros Evrenoglou · 2026

In diagnostic test accuracy meta-analysis (DTA-MA), standard inference methods using bivariate random-effects models for jointly synthesizing sensitivity and specificity can be sensitive to outlying s…

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Computer Science Preprint PDF DOI

Cognitive Atrophy and Systemic Collapse in AI-Dependent Software Engineering

Frank Ginac · 2026

The integration of Large Language Models (LLMs) into the software development lifecycle (SDLC) masks a critical socio-technical failure: Cognitive-Systemic Collapse. This paper introduces "Epistemolog…

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AI & Data Science Preprint PDF DOI

SAGE: A Strategy-Aware Graph-Enhanced Generation Framework For Online Counseling

Eliya Naomi Aharon, Meytal Grimland, Avi Segal, Loona Ben Dayan, Inbar Shenfeld, Yossi Levi Belz, Kobi Gal · 2026

Effective mental health counseling is a complex, theory-driven process requiring the simultaneous integration of psychological frameworks, real-time distress signals, and strategic intervention planni…

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AI & Data Science Preprint PDF DOI

Fidelity, Diversity, and Privacy: A Multi-Dimensional LLM Evaluation for Clinical Data Augmentation

Guillermo Iglesias, Gema Bello-Orgaz, Maria Navas-Loro, Cristian Ramirez-Atencia, Merce Salvador Robert, Enrique Baca-Garcia · 2026

The scarcity of high-quality annotated medical data, particularly in mental health, poses a significant bottleneck for training robust machine learning models. Privacy regulations restrict data sharin…

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Biology & Life Sciences Preprint PDF DOI

Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection

Himadri S Samanta · 2026

Automated depression detection often relies on static aggregation of conversational signals, potentially obscuring clinically meaningful behavioral dynamics. We investigated whether entropy-driven tem…

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Computer Science Preprint PDF DOI

Human-Augmented Reality Interaction in Rebar Inspection

Mahsa Sanei, Fernando Moreu · 2026

Rebar inspection in reinforced concrete construction requires sustained awkward postures and complex mental mapping of two-dimensional drawings onto three-dimensional assemblies. This study evaluated …

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AI & Data Science Preprint PDF DOI

PSI-Bench: Towards Clinically Grounded and Interpretable Evaluation of Depression Patient Simulators

Nguyen Khoi Hoang, Shuhaib Mehri, Tse-An Hsu, Yi-Jyun Sun, Quynh Xuan Nguyen Truong, Khoa D Doan, Dilek Hakkani-Tur · 2026

Patient simulators are gaining traction in mental health training by providing scalable exposure to complex and sensitive patient interactions. Simulating depressed patients is particularly challengin…

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AI & Data Science Preprint PDF DOI

From Chatbots to Confidants: A Cross-Cultural Study of LLM Adoption for Emotional Support

Natalia Amat-Lefort, Mert Yazan, Amanda Cercas Curry, Flor Miriam Plaza-del-Arco · 2026

Large Language Models (LLMs) are increasingly used not only for instrumental tasks, but as always-available and non-judgmental confidants for emotional support. Yet what drives adoption and how users …

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AI & Data Science Preprint PDF DOI

Assessment of the quantitative impact of occlusal positioning splints on temporomandibular joint conditions

Agnieszka Anna Tomaka, Krzysztof Domino, Dariusz Pojda, Micha{l} Tarnawski · 2026

A computational method for quantitative analysis of temporomandibular joint (TMJ) configuration using occlusal positioning splints is proposed and demonstrated. The method models a positioning splint …

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AI & Data Science Preprint PDF DOI

Analyzing LLM Reasoning to Uncover Mental Health Stigma

Sreehari Sankar, Aliakbar Nafar, Mona Barman, Hannah K. Heitz, Ashwin Kumar, Pouria Tohidi, Dailun Li, Danish Hussain, Russell DuBois, Hamed Hasheminia, Farshad Majzoubi · 2026

While large language models (LLMs) are increasingly being explored for mental health applications, recent studies reveal that they can exhibit stigma toward individuals with psychological conditions. …

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Physics Preprint PDF DOI

Non-Abelian Particle-Loop, Fracton, and Planon Condensation in Cage-Net Models

Yifei Wang, Yu Zhao, Yingcheng Li, Hao Song, Yidun Wan · 2026

We present a framework for non-Abelian p-loop, fracton, and planon condensation in 3+1 dimensions by constructing extended cage-net fracton models using decoupled layers of the Hu-Geer-Wu (HGW) string…

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AI & Data Science Preprint PDF DOI

Uncovering Latent Patterns in Social Media Usage and Mental Health: A Clustering-Based Approach Using Unsupervised Machine Learning

Md All Shahria, Sanjeda Dewan Mithila, Touhid Alam, Mohammad Sakib Mahmood, Mahfuza Khatun · 2026

The widespread adoption of social media has heightened interest in its psychological effects, particularly on mental health indicators such as anxiety, depression, loneliness, and sleep quality, as th…

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AI & Data Science Preprint PDF DOI

AutoGUI-v2: A Comprehensive Multi-Modal GUI Functionality Understanding Benchmark

Hongxin Li, Xiping Wang, Jingran Su, Zheng Ju, Yuntao Chen, Qing Li, Zhaoxiang Zhang · 2026

Autonomous agents capable of navigating Graphical User Interfaces (GUIs) hold the potential to revolutionize digital productivity. However, achieving true digital autonomy extends beyond reactive elem…

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AI & Data Science Preprint PDF DOI

Learning Evidence of Depression Symptoms via Prompt Induction

Eliseo Bao, Anxo Perez, David Otero, Javier Parapar · 2026

Depression places substantial pressure on mental health services, and many people describe their experiences outside clinical settings in high-volume user-generated text (e.g., online forums and socia…

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AI & Data Science Preprint PDF DOI

Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction

Xiaoyu Zheng, Xu Tian, Bin Jiao, Kunbo Cui, Hanhe Lin, Lu Shen, Jin Liu · 2026

Patients with dementia typically exhibit cognitive impairment, which is routinely assessed using the Mini-Mental State Examination (MMSE). Concurrently, their underlying neurophysiological abnormaliti…

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AI & Data Science Preprint PDF DOI

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment

Sophie Chiang, Tom Brennan, Fethiye Irmak Dogan, Jiaee Cheong, Hatice Gunes · 2026

In recent years, the integration of multimodal machine learning in wellbeing assessment has offered transformative potential for monitoring mental health. However, with the rapid advancement of Vision…

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AI & Data Science Preprint PDF DOI

Caries DETR: Tooth Structure-aware Prior and Lesion-aware Dynamic Loss Refinement for DETR Based Caries Detection

Xuefen Liu, Xinquan Yang, Mianjie Zheng, Kun Tang, Xuguang Li, Xiaoqi Guo, Linlin Shen, He Meng · 2026

As dental caries appear as subtle, low-contrast lesions in intraoral imaging, existing deep learning models face significant challenges in the early detection of caries. While recent Transformer-based…

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