Tootfinder

Aptamer-protein interaction prediction model based on transformer
Zhichao Yan, Yue Kang, Buyong Ma
https://arxiv.org/abs/2506.16084 https://

Aptamer-protein interaction prediction model based on transformer
Aptamers are single-stranded DNA/RNAs or short peptides with unique tertiary structures that selectively bind to specific targets. They have great potential in the detection and medical fields. Here, we present SelfTrans-Ensemble, a deep learning model that integrates sequence information models and structural information models to extract multi-scale features for predicting aptamer-protein interactions (APIs). The model employs two pre-trained models, ProtBert and RNA-FM, to encode protein and…

Budget Allocation Policies for Real-Time Multi-Agent Path Finding
Raz Beck, Roni Stern
https://arxiv.org/abs/2507.16874 https://arxiv.org/pdf/2507.16874

Budget Allocation Policies for Real-Time Multi-Agent Path Finding
Multi-Agent Pathfinding (MAPF) is the problem of finding paths for a set of agents such that each agent reaches its desired destination while avoiding collisions with the other agents. Many MAPF solvers are designed to run offline, that is, first generate paths for all agents and then execute them. Real-Time MAPF (RT-MAPF) embodies a realistic MAPF setup in which one cannot wait until a complete path for each agent has been found before they start to move. Instead, planning and execution are in…

Designing Robots with, not for: A Co-Design Framework for Empowering Interactions in Forensic Psychiatry
Qiaoqiao Ren, Remko Proesmans, Arend Pissens, Lara Dehandschutter, William Denecker, Lotte Rouckhout, Joke Carrette, Peter Vanhopplinus, Tony Belpaeme, Francis wyffels
https://arxiv.org/abs/2507.14931

Designing Robots with, not for: A Co-Design Framework for Empowering Interactions in Forensic Psychiatry
Forensic mental health care involves the treatment of individuals with severe mental disorders who have committed violent offences. These settings are often characterized by high levels of bureaucracy, risk avoidance, and restricted autonomy. Patients frequently experience a profound loss of control over their lives, leading to heightened psychological stress-sometimes resulting in isolation as a safety measure. In this study, we explore how co-design can be used to collaboratively develop a co…

Avoiding gang territory so as to not run into actual criminals, wearing masks, no warrants, and:
ICE Tells Agents They Can Start Making Unjustified Arrests Again | Techdirt
https://www.techdirt.com/2025/06/20/ice-tells-agents-they-can-start-making-unjustified-arrests-again/

Spacecraft Safe Robust Control Using Implicit Neural Representation for Geometrically Complex Targets in Proximity Operations
Hang Zhou, Tao Meng, Kun Wang, Chengrui Shi, Renhao Mao, Weijia Wang, Jiakun Lei
https://arxiv.org/abs/2507.13672

Spacecraft Safe Robust Control Using Implicit Neural Representation for Geometrically Complex Targets in Proximity Operations
This study addresses the challenge of ensuring safe spacecraft proximity operations, focusing on collision avoidance between a chaser spacecraft and a complex-geometry target spacecraft under disturbances. To ensure safety in such scenarios, a safe robust control framework is proposed that leverages implicit neural representations. To handle arbitrary target geometries without explicit modeling, a neural signed distance function (SDF) is learned from point cloud data via a enhanced implicit geo…

HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging
Arefin Ittesafun Abian, Ripon Kumar Debnath, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Md Rafiqul Islam, Asif Karim, Reem E. Mohamed, Sami Azam
https://arxiv.org/abs/2507.11325

HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging
Accurate liver and tumor segmentation on abdominal CT images is critical for reliable diagnosis and treatment planning, but remains challenging due to complex anatomical structures, variability in tumor appearance, and limited annotated data. To address these issues, we introduce Hyperbolic-convolutions Adaptive-temporal-attention with Neural-representation and Synaptic-plasticity Network (HANS-Net), a novel segmentation framework that synergistically combines hyperbolic convolutions for hierar…

Lese-Hunde machen Kindern Lust auf Bücher in den @… via @… | ndr.de

Kein Wunder, dass Boing die Flugzeuge jetzt in die arabischen Regionen verkauft. Da ist es ja warm und dann ist es nicht so schlimm, dass die Türen rausfallen😇🤣
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在空中 - 窗外 ✈️ ☁️
📷 Nikon FE
🎞️FOMAPAN Action 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

High-Availability Integrity Monitoring for Multi-Constellation GNSS Navigation with Non-Gaussian Errors
Penggao Yan, Ronghe Jin, Junyi Zhang, Cheng-Wei Wang, Li-Ta Hsu
https://arxiv.org/abs/2507.04284

High-Availability Integrity Monitoring for Multi-Constellation GNSS Navigation with Non-Gaussian Errors
Global navigation satellite systems (GNSS) are essential for aviation, requiring strict integrity monitoring to alert users to hazardously misleading information. Conventional receiver autonomous integrity monitoring (RAIM) and advanced RAIM (ARAIM) rely heavily on Gaussian models in bounding nominal errors, which can be overly conservative with real-world non-Gaussian errors with heavy tails, such as the satellite clock and orbit errors. This paper proposes an extended jackknife detector capab…