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FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction
Ravi Shankar Prasad, Dinesh Singh
https://arxiv.org/abs/2508.18031 https://

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction
Craniofacial reconstruction in forensics is one of the processes to identify victims of crime and natural disasters. Identifying an individual from their remains plays a crucial role when all other identification methods fail. Traditional methods for this task, such as clay-based craniofacial reconstruction, require expert domain knowledge and are a time-consuming process. At the same time, other probabilistic generative models like the statistical shape model or the Basel face model fail to ca…

Oscar-winning director on his new Ukraine war film: https://benborges.xyz/2025/08/22/oscarwinning-director-on-his-new.html

The project of a ground-based wide-angle EAS Cherenkov light imaging detector for PCR mass composition study in the 1-1000 PeV energy range
D. V. Chernov, E. A. Bonvech, O. V. Cherkesova, E. L. Entina, V. I. Galkin, V. A. Ivanov, T. A. Kolodkin, V. I. Osedlo, N. O. Ovcharenko, D. A. Podgrudkov, T. M. Roganova, M. D. Ziva
https://

The project of a ground-based wide-angle EAS Cherenkov light imaging detector for PCR mass composition study in the 1-1000 PeV energy range
This report presents a draft of a new detector designed to determine the chemical composition of primary cosmic rays based on the characteristics of the angular distribution of Cherenkov light from EAS. The installation, consisting of several such detectors, will be able to register individual EAS events in the energy range from 1 to 1000 PeV with high angular resolution of up to 0.2$^\circ$. The proposed detector's distinctive feature is its simple design and wide viewing angle of above $\pm30…

Functional law of large numbers and central limit theorem for Crump-Mode-Jagers branching processes
Ibrahima Dram\'e, Etienne Pardoux
https://arxiv.org/abs/2508.12058 https:…

Functional law of large numbers and central limit theorem for Crump-Mode-Jagers branching processes
We establish a Law of Large Numbers and a Central Limit Theorem for a class of Crump Mode Jagers continuous time branching processes, where the birth rate is age dependent, and also random (different from one individual to the next), in the limit of a large number of ancestors. The only difficulty concerns the tightness in the Skorohod space $D$ for the central limit theorem. We exploit a criterion for the CLT in $D$ due to M. Hahn \cite{MH}.

Worst-case Nonparametric Bounds for the Student T-statistic
David Edelman
https://arxiv.org/abs/2508.13226 https://arxiv.org/pdf/2508.13226

Worst-case Nonparametric Bounds for the Student T-statistic
We address the problem of finding worst-case nonparametric bounds for T-statistic bythe considering the extremal problem of maximising $\mathbb{P}(S(w)\ge t)$ over nonnegative weight vectors $w\in\mathbb{R}^n$ with $\|w\|_2=1$, where $S(w)=\sum_{i=1}^n w_i \varepsilon_i$ and $\varepsilon_i$ are independent Rademacher variables. While classical results of Hoeffding [1] and Chernoff [2] provide sub-Gaussian upper bounds, and optimal-order inequalities were later obtained by the author […

This https://arxiv.org/abs/2311.16593 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid transmission. Initial testing methods primarily revolved around identifying the genetic composition of the coronavirus, exhibiting a relatively low detection rate and requiring a time-intensive procedure. To address this challenge, experts have suggested using radiolo…

Can LLMs Reason About Trust?: A Pilot Study
Anushka Debnath, Stephen Cranefield, Emiliano Lorini, Bastin Tony Roy Savarimuthu
https://arxiv.org/abs/2507.21075 https://

Can LLMs Reason About Trust?: A Pilot Study
In human society, trust is an essential component of social attitude that helps build and maintain long-term, healthy relationships which creates a strong foundation for cooperation, enabling individuals to work together effectively and achieve shared goals. As many human interactions occur through electronic means such as using mobile apps, the potential arises for AI systems to assist users in understanding the social state of their relationships. In this paper we investigate the ability of L…