Tootfinder

Hierarchical Group-wise Ranking Framework for Recommendation Models
YaChen Yan, Liubo Li, Ravi Choudhary
https://arxiv.org/abs/2506.12756 https://

Hierarchical Group-wise Ranking Framework for Recommendation Models
In modern recommender systems, CTR/CVR models are increasingly trained with ranking objectives to improve item ranking quality. While this shift aligns training more closely with serving goals, most existing methods rely on in-batch negative sampling, which predominantly surfaces easy negatives. This limits the model's ability to capture fine-grained user preferences and weakens overall ranking performance. To address this, we propose a Hierarchical Group-wise Ranking Framework with two key com…

Can cloud-based VR streaming handle Wi-Fi OBSS contention?
Miguel Casasnovas, Marc Carrascosa-Zamacois, Boris Bellalta
https://arxiv.org/abs/2507.07677 htt…

Can cloud-based VR streaming handle Wi-Fi OBSS contention?
This paper experimentally analyzes the negative impact of contention caused by neighboring Wi-Fi networks operating on overlapping channels on Virtual Reality (VR) streaming over Wi-Fi, focusing on scenarios of partial and full channel overlap within an 80 MHz channel. Our results show that (i) increasing the number of 80 MHz Overlapping Basic Service Sets (OBSSs) intensifies contention and degrades VR streaming performance; (ii) OBSS activity on the secondary-sided 40 MHz portion degrades perf…

A Positivity-Preserving Finite Element Framework for Accurate Dose Computation in Proton Therapy
Ben S. Ashby, Abdalaziz Hamdan, Tristan Pryer
https://arxiv.org/abs/2506.01105

A Positivity-Preserving Finite Element Framework for Accurate Dose Computation in Proton Therapy
We present a stabilised finite element method for modelling proton transport in tissue, incorporating both inelastic energy loss and elastic angular scattering. A key innovation is a positivity-preserving formulation that guarantees non-negative fluence and dose, even on coarse meshes. This enables reliable computation of clinically relevant quantities for treatment planning. We derive a priori error estimates demonstrating optimal convergence rates and validate the method through numerical ben…

Quenching of single-particle strength inferred from nucleon-removal transfer reactions on $^{15}$C
Y. C. Jiang, J. Chen, B. P. Kay, C. R. Hoffman, T. L. Tang, I. A. Tolstukhin, M. R. Xie, J. G. Li, N. Michel, M. L. Avila, Y. Ayyad, D. Bazin, S. Bennett, J. A. Clark, S. J. Freeman, H. Jayatissa, G. Li, W. P. Liu, J. L. Lou, A. Munoz-Ramos, C. M\"uller-Gatermann, T. Nathan, D. Santiago-Gonzalez, D. K. Sharp, Y. P. Shen, A. H. Wuosmaa, C. X. Yuan

Quenching of single-particle strength inferred from nucleon-removal transfer reactions on $^{15}$C
The difference in the proton and neutron separation energies ($ΔS$) of the weakly bound $^{15}$C ground state is -19.86 MeV, an extreme value. Data from intermediate-energy heavy-ion induced (HI-induced) knockout reactions on nuclei spanning $-20\lesssimΔS\lesssim+20$ MeV, suggest that the degree to which single-particle strength is quenched, $R\mathrm{_{s}}$, has a negative correlation with $ΔS$, decreasing from unity around $-20$~MeV to around 0.2 at $+20$~MeV. For the $^{15}$C ground stat…