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As Large Language Models (LLMs) increasingly power applications used by children and adolescents, ensuring safe and age-appropriate interactions has become an urgent ethical imperative. Despite progress in AI safety, current evaluations…

Computers and Society · Computer Science 2026-05-26 Junfeng Jiao , Saleh Afroogh , Kevin Chen , Abhejay Murali , David Atkinson , Amit Dhurandhar

We use the illness-death model (IDM) for chronic conditions to derive a new analytical relation between the transition rates between the states of the IDM. The transition rates are the incidence rate (i) and the mortality rates of people…

Methodology · Statistics 2024-02-23 Maryam Saem , Ralph Brinks

We supplement recent evolutionary computations of canonical stellar models (i.e. with inefficient core overshooting) with Z=0.0002, 0.0004, 0.0006, 0.001, 0.004, 0.008 and suitable assumptions about the original He content. Evolutionary…

Astrophysics · Physics 2007-05-23 S. Degl'Innocenti , P. Cariulo , P. G. Prada Moroni , M. Marconi

The rapid adoption of large language models (LLMs) in education raises profound challenges for assessment design. To adapt assessments to the presence of LLM-based tools, it is crucial to characterize the strengths and weaknesses of LLMs in…

Human-Computer Interaction · Computer Science 2026-04-16 Licol Zeinfeld , Alona Strugatski , Ziva Bar-Dov , Ron Blonder , Shelley Rap , Giora Alexandron

Machine learning (ML) models have proven effective in classifying gait analysis data, e.g., binary classification of young vs. older adults. ML models, however, lack in providing human understandable explanations for their predictions. This…

Age-specific mortality improvements are non-uniform, neither across ages nor across time. We propose a two-step procedure to estimate the rates of mortality improvement (RMI) in age-specific death rates (ASDR) at ages 85 and above for ten…

Applications · Statistics 2023-03-30 Trifon I. Missov , Silvio C. Patricio , Francisco Villavicencio

Large language models (LLMs) excel at numerical estimation but struggle to correctly quantify uncertainty. We study how well LLMs construct confidence intervals around their own answers and find that they are systematically overconfident.…

Methodology · Statistics 2025-11-03 Elliot L. Epstein , John Winnicki , Thanawat Sornwanee , Rajat Dwaraknath

Background: Palliative care is referred to a set of programs for patients that suffer life-limiting illnesses. These programs aim to guarantee a minimum level of quality of life (QoL) for the last stage of life. They are currently based on…

We introduce preti, a novel framework for predicting software execution time during the early stages of development. preti leverages an LLVM-based simulation environment to extract timing-related runtime information, such as the count of…

Performance · Computer Science 2025-03-19 Risheng Xu , Philipp Sieweck , Hermann von Hasseln , Dirk Nowotka

We analyze a modification of the Richards growth model by introducing a time-dependent perturbation in the growth rate. This modification becomes effective at a special switching time, which represents the first-crossing-time of the…

Applications · Statistics 2024-10-31 Antonio Di Crescenzo , Paola Paraggio , Francisco Torres-Ruiz

Assessing climate-driven mortality risk has become an emerging area of research in recent decades. In this paper, we propose a novel approach to explicitly incorporate climate-driven effects into both single- and multi-population stochastic…

Applications · Statistics 2025-06-03 Jiacheng Min , Han Li , Thomas Nagler , Shuanming Li

Patient status, angiographic and procedural characteristics encode crucial signals for predicting long-term outcomes after percutaneous coronary intervention (PCI). The aim of the study was to develop a predictive model for assessing the…

Machine Learning · Computer Science 2025-12-30 Daniil Burakov , Ivan Petrov , Dmitrii Khelimskii , Ivan Bessonov , Mikhail Lazarev

Vital signs have been essential clinical measures. Among these, body temperature (BT) and heart rate (HR) are particularly significant, and numerous studies explored their association in hospitalized adults and children. However, a lack of…

Signal Processing · Electrical Eng. & Systems 2024-05-02 Emilie Lu , Thanh-Dung Le

Predicting microstructure evolution during thermomechanical treatment is essential for determining the final mechanical properties of a material, yet conventional simulations based on Partial Differential Equations (PDEs) remain…

Materials Science · Physics 2026-03-26 Pungponhavoan Tep , Marc Bernacki

Progressive diseases worsen over time and are characterised by monotonic change in features that track disease progression. Here we connect ideas from two formerly separate methodologies -- event-based and hidden Markov modelling -- to…

Machine Learning · Computer Science 2021-06-07 Peter A. Wijeratne , Daniel C. Alexander

This study develops a methodology by capturing both the battery aging state and degradation rate for improved life prediction performance. The aging state is indicated by six physical features of an equivalent circuit model that are…

Machine Learning · Computer Science 2023-08-29 Mingyuan Zhao , Yongzhi Zhang

Latest experimental and evaluated $\alpha$-decay half-lives between 82$\leq$Z$\leq$118 have been used to modify two empirical formulas: (i) Horoi scaling law [J. Phys. G \textbf{30}, 945 (2004)], and Sobiczewski formula [Acta Phys. Pol. B…

Nuclear Theory · Physics 2021-05-26 G. Saxena , P. K. Sharma , Prafulla Saxena

Invasive pest establishment is a pervasive threat to global ecosystems, agriculture, and public health. The recent establishment of the invasive spotted lanternfly in the northeastern United States has proven devastating to farms and…

Populations and Evolution · Quantitative Biology 2021-12-22 Stephanie M. Lewkiewicz , Sebastiano De Bona , Matthew R. Helmus , Benjamin Seibold

A model describing the dynamics related to the spreading of non-lethal infectious diseases in a fixed-size population is proposed. The model consists of a non-linear delay-differential equation describing the time evolution of the increment…

Populations and Evolution · Quantitative Biology 2010-10-05 A. Noviello , F. Romeo , R. De Luca

In this work we aim at constraining the age of the young open cluster Melotte 20, known as $\alpha$ Per, using seismic indices. The method consists of the following steps: 1) Extract the frequency content of a sample of stars in the field…

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