Tootfinder

Random Effects Models for Understanding Variability and Association between Brain Functional and Structural Connectivity
Lingyi Peng, Qiaochu Wang, Yaotian Wang, Jie He, Xu Zou, Shuoran Li, Dana L. Tudorascu, David J. Schaeffer, Lauren Schaeffer, Diego Szczupak, Emily S. Rothwell, Stacey J. Sukoff Rizzo, Gregory W. Carter, Afonso C. Silva, Tingting Zhang
https:…

Random Effects Models for Understanding Variability and Association between Brain Functional and Structural Connectivity
The human brain is organized as a complex network, where connections between regions are characterized by both functional connectivity (FC) and structural connectivity (SC). While previous studies have primarily focused on network-level FC-SC correlations (i.e., the correlation between FC and SC across all edges within a predefined network), edge-level correlations (i.e., the correlation between FC and SC across subjects at each edge) has received comparatively little attention. In this study, …

H3 in irradiated protoplanetary disks: Linking far-ultraviolet radiation and hot water vapor
Javier R. Goicoechea, Octavio Roncero, Evelyne Roueff, John H. Black, Ilane Schroetter, Olivier Bern\'e
https://arxiv.org/abs/2506.05189

H3+ in irradiated protoplanetary disks: Linking far-ultraviolet radiation and hot water vapor
The likely JWST detection of vibrationally excited H3+ emission in the irradiated disk d203-506, reported by Schroetter et al., raises the question of whether cosmic-ray ionization is enhanced in disks within clustered star-forming regions, or if alternative mechanisms contribute to H3+ formation and excitation. We present a detailed model of the photodissociation region (PDR) component of a protoplanetary disk-comprising the outer disk surface and the photoevaporative wind-exposed to strong ex…

Sources: Byron Allen takes substantial steps toward selling all of his local TV stations, including those affiliated with ABC, CBS, Fox, and NBC in 24 markets (Matthew Keys/Multicast News)
https://multicastnews.com/p/exclusive-byron-allen-selling-off

Exclusive: Byron Allen is selling his local TV stations
Allen has received offers for some or all of his local TV station portfolio; a divestiture allows Allen Media Group to pay down existing debt, rather than refinance it.

Neuro-Informed Joint Learning Enhances Cognitive Workload Decoding in Portable BCIs
Xiaoxiao Yang, Chan Feng, Jiancheng Chen
https://arxiv.org/abs/2506.23458

Neuro-Informed Joint Learning Enhances Cognitive Workload Decoding in Portable BCIs
Portable and wearable consumer-grade electroencephalography (EEG) devices, like Muse headbands, offer unprecedented mobility for daily brain-computer interface (BCI) applications, including cognitive load detection. However, the exacerbated non-stationarity in portable EEG signals constrains data fidelity and decoding accuracy, creating a fundamental trade-off between portability and performance. To mitigate such limitation, we propose MuseCogNet (Muse-based Cognitive Network), a unified joint …

PDRs4All XIV: CH radical and $H_3^ $ molecular ion in the irradiated protoplanetary disk d203-506
I. Schroetter, O. Bern\'e, J. R. Goicoechea, J. H. Black, O. Roncero, F. Alarcon, P. Amiot, O. Asvany, C. Boersma, S. Br\"unken, J. Cami, L. Coudert, E. Dartois, A. Fuente, B. Gans, A. Gusdorf, U. Jacovella, M. A. Martin Drumel, T. Onaka, E. Peeters, E. Roueff, A. G. G. M. Tielens, M. Zannese

PDRs4All XIV: CH radical and $H_3^+$ molecular ion in the irradiated protoplanetary disk d203-506
Most protoplanetary disks experience a phase in which they are subjected to strong ultraviolet radiation from nearby massive stars. This UV radiation can substantially alter their chemistry by producing numerous radicals and molecular ions. In this Letter we present detailed analysis of the JWST-NIRSpec spectrum of the d203-506 obtained as part of the PDRs4All Early Release Science program. Using state-of-the-art spectroscopic data, we searched for species using a multi-molecule fitting tool, P…

Study: ChatGPT is Bad for Your Brain
#NowWatching

The ArborX library: version 2.0
Andrey Prokopenko, Daniel Arndt, Damien Lebrun-Grandi\'e, Bruno Turcksin
https://arxiv.org/abs/2507.23700 https://arxiv…

The ArborX library: version 2.0
This paper provides an overview of the 2.0 release of the ArborX library, a performance portable geometric search library based on Kokkos. We describe the major changes in ArborX 2.0 including a new interface for the library to support a wider range of user problems, new search data structures (brute force, distributed), support for user functions to be executed on the results (callbacks), and an expanded set of the supported algorithms (ray tracing, clustering).

Perry: A High-level Framework for Accelerating Cyber Deception Experimentation
Brian Singer, Yusuf Saquib, Lujo Bauer, Vyas Sekar
https://arxiv.org/abs/2506.20770

Perry: A High-level Framework for Accelerating Cyber Deception Experimentation
Cyber deception aims to distract, delay, and detect network attackers with fake assets such as honeypots, decoy credentials, or decoy files. However, today, it is difficult for operators to experiment, explore, and evaluate deception approaches. Existing tools and platforms have non-portable and complex implementations that are difficult to modify and extend. We address this pain point by introducing Perry, a high-level framework that accelerates the design and exploration of deception what-if …

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
Mohammed Baharoon, Luyang Luo, Michael Moritz, Abhinav Kumar, Sung Eun Kim, Xiaoman Zhang, Miao Zhu, Mahmoud Hussain Alabbad, Maha Sbayel Alhazmi, Neel P. Mistry, Kent Ryan Kleinschmidt, Brady Chrisler, Sathvik Suryadevara, Sri Sai Dinesh Jaliparthi, Noah Michael Prudlo, Mark David Marino, Jeremy Palacio, Rithvik Akula, Hong-Yu Zhou, Ibrahim Ethem Hamamci, Scott J. Adams, Hassan Rayhan AlOmaish, P…

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
We present ReXGroundingCT, the first publicly available dataset to link free-text radiology findings with pixel-level segmentations in 3D chest CT scans that is manually annotated. While prior datasets have relied on structured labels or predefined categories, ReXGroundingCT captures the full expressiveness of clinical language represented in free text and grounds it to spatially localized 3D segmentation annotations in volumetric imaging. This addresses a critical gap in medical AI: the abilit…

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