Tootfinder

Anisotropic flow coefficients for charged hadrons in $O O$ collisions at $\sqrt{s_{\mathrm{NN}}}=7$ TeV using AMPT
Jagbir Singh, Muhammad Usman Ashraf, Ahsan Mehmood Khan, Aditya Rana, Sonia Kabana
https://arxiv.org/abs/2507.17400

Anisotropic flow coefficients for charged hadrons in $O+O$ collisions at $\sqrt{s_{\mathrm{NN}}}=7$ TeV using AMPT
In this article, we report on the predictions of $v_2$, $v_3$ and $v_4$ for charged hadrons in O+O collisions at $\sqrt{s_{\mathrm{NN}}}~=~7$~TeV using both AMPT-default and AMPT-String Melting. These predictions are compared with the existing published data of $p+p$, $p+Pb$, and $Pb+Pb$ collisions at LHC energies. The transverse momentum ($p_T$) dependence of $v_2$ is also investigated for different centrality classes. $O+O$ collisions provide a unique opportunity to bridge the gap between sma…

Did I go to Świebodzice, and take an easy trail? Perhaps.
Did I suffer from acrophobia all the time? Definitely.

Behöver redigera en pdf hemifrån. Försöker logga in på det betalda Adobekonto jag har genom jobbet för att göra mitt jobb men Adobe insisterar på att jag inte har betalat för Acrobat (det enda programmet vi betalar för). Jag vill bara byta ut några år. Åter och åter igen blir det såhär när jag försöker använda kommersiell mjukvara. De vägrar ge mig tillgång till en tjänst vi betalat för, som fri mjukvara hade kunnat göra lika bra. Fattar verkligen inte varför man ska betala för mjukvara.

On Trustworthy Rule-Based Models and Explanations
Mohamed Siala, Jordi Planes, Joao Marques-Silva
https://arxiv.org/abs/2507.07576 https://

On Trustworthy Rule-Based Models and Explanations
A task of interest in machine learning (ML) is that of ascribing explanations to the predictions made by ML models. Furthermore, in domains deemed high risk, the rigor of explanations is paramount. Indeed, incorrect explanations can and will mislead human decision makers. As a result, and even if interpretability is acknowledged as an elusive concept, so-called interpretable models are employed ubiquitously in high-risk uses of ML and data mining (DM). This is the case for rule-based ML models,…

AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models
Lian Yan, Haotian Wang, Chen Tang, Haifeng Liu, Tianyang Sun, Liangliang Liu, Yi Guan, Jingchi Jiang
https://arxiv.org/abs/2507.21773

AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models
In the agricultural domain, the deployment of large language models (LLMs) is hindered by the lack of training data and evaluation benchmarks. To mitigate this issue, we propose AgriEval, the first comprehensive Chinese agricultural benchmark with three main characteristics: (1) Comprehensive Capability Evaluation. AgriEval covers six major agriculture categories and 29 subcategories within agriculture, addressing four core cognitive scenarios: memorization, understanding, inference, and genera…

Forward and inverse problems for a mixed-type equation with the Caputo fractional derivative and Dezin-type non-local condition
Ravshan Ashurov, Umida Dusanova, Navbahor Nuraliyeva
https://arxiv.org/abs/2507.12129

Forward and inverse problems for a mixed-type equation with the Caputo fractional derivative and Dezin-type non-local condition
This work is dedicated to the study of a mixed-type partial differential equation involving a Caputo fractional derivative in the time domain $t > 0$ and a classical parabolic equation in the domain $t < 0$, along with Dezin-type non-local boundary and gluing conditions. The forward and inverse problems are studied in detail. For the forward problem, the existence and uniqueness of solutions are established using the Fourier method, under appropriate assumptions on the initial data and the righ…

Transportation Cyber Incident Awareness through Generative AI-Based Incident Analysis and Retrieval-Augmented Question-Answering Systems
Ostonya Thomas, Muhaimin Bin Munir, Jean-Michel Tine, Mizanur Rahman, Yuchen Cai, Khandakar Ashrafi Akbar, Md Nahiyan Uddin, Latifur Khan, Trayce Hockstad, Mashrur Chowdhury
https://arxiv.org/abs/2508.025…

Transportation Cyber Incident Awareness through Generative AI-Based Incident Analysis and Retrieval-Augmented Question-Answering Systems
Technological advancements have revolutionized numerous industries, including transportation. While digitalization, automation, and connectivity have enhanced safety and efficiency, they have also introduced new vulnerabilities. With 95% of data breaches attributed to human error, promoting cybersecurity awareness in transportation is increasingly critical. Despite numerous cyberattacks on transportation systems worldwide, comprehensive and centralized records of these incidents remain scarce. …

The Scintillator Surface Detector of the Pierre Auger Observatory
The Pierre Auger Collaboration
https://arxiv.org/abs/2507.07762 https://

The Scintillator Surface Detector of the Pierre Auger Observatory
Data collected so far by the Pierre Auger Observatory have enabled major advances in ultra-high energy cosmic ray physics and demonstrated that improved determination of masses of primary cosmic-ray particles, preferably on an event-by-event basis, is necessary for understanding their origin and nature. Improvement in primary mass measurements was the main motivation for the upgrade of the Pierre Auger Observatory, called AugerPrime. As part of this upgrade, scintillator detectors are added to …

Models for differential cross section in proton-proton scattering and their implications at ISR and LHC energies
Muhammad Saad Ashraf, Nosheen Akbar, Sarwat Zahra
https://arxiv.org/abs/2506.05532

Models for differential cross section in proton-proton scattering and their implications at ISR and LHC energies
Few composite exponential models for the differential cross section are proposed to analyse the proton-proton ($pp$) elastic scattering at several energies. These proposed models are fitted to the data for $pp$ elastic differential cross section reported at CERN-ISR, LHC, and extrapolated energies of other models. These models have produced important features including dip-bump structure and shrinkage of the forward peak. Position of the dip is also well produced by our models for all the data …

Phase Noise Tolerance for Low-Pilot-Overhead OFDM Terahertz Links Beyond 64-QAM
Bowen Liu, Takasumi Tanabe
https://arxiv.org/abs/2508.05026 https://arxiv.o…

Phase Noise Tolerance for Low-Pilot-Overhead OFDM Terahertz Links Beyond 64-QAM
THz wireless communications have garnered significant attention due to their unprecedented data rates enabled by the abundant untapped spectrum. However, advanced modulation formats beyond 64-QAM remain largely unexplored, as phase errors introduced during up/down-conversion severely limit system performance. Particularly, OFDM transmission is highly susceptible to aggravated ICI induced by phase noise, undermining the orthogonality of subcarriers. While PLLs and pilot-assisted compensation can…