Latest AI and machine learning research in urinary incontinence for healthcare professionals.
OBJECTIVES: To investigate urodynamic efficacy and safety of mirabegron add-on treatment with tamsulosin for Japanese male patients with overactive bladder (OAB).
Delta-Rule recurrent models maintain a fixed-size state, enabling $O(1)$ inference memory but potentially becoming unstable under extreme-context extrapolation. By tracking RWKV-7 over sequences of up to 100M tokens, we empirically identify a distinct failure pattern: \textbf{localized norm explosion atop a relatively sparse substrate}, rather than global state saturation. Analysis of the recurren...
Reinforcement learning (RL) post-training of large language models (LLMs) is computationally intensive and involves complex system pipelines with subs...
While 3D Gaussian Editing (3DGE) has seen substantial progress, text-driven 3D human garment editing remains largely underexplored. Existing 3DGE work...
Deep learning systems often fail due to subtle implementation faults that alter training behavior. Recent work has studied how to detect and diagnose ...
Diagnosing production incidents in large-scale microservice systems is time-critical for Site Reliability Engineers (SREs). A single 30-minute inciden...
Layered image generation and editing is a fundamental capability that enables layer-wise reuse, editing, and composition of generated visual content, ...
Large Vision-Language Models (VLMs) are increasingly used to evaluate outputs of other models, for image-to-text (I2T) tasks such as visual question a...
This study presents dAMN, a hybrid neural-mechanistic model that integrates neural networks with genome-scale dynamic flux balance analysis (dFBA) to ...
Video-LLMs are increasingly deployed in safety-critical applications but are vulnerable to Energy-Latency Attacks (ELAs) that exhaust computational re...
Mixed-precision training has emerged as an indispensable tool for enhancing the efficiency of neural network training in recent years. Concurrently,...
Copy-paste-modify is a widespread and pragmatic practice in software development, where developers adapt reused code snippets, sourced from platform...
Practitioners building online services and tools often turn to online forums such as Reddit, Law Stack Exchange, and Stack Overflow for legal guidan...
Image generation models have achieved widespread applications. As an instance, the TarFlow model combines the transformer architecture with Normaliz...
In distributed quantum applications such as entanglement distribution, precise time synchronization and efficient time-tagged data handling are esse...
We present an efficient self-contained algorithm for computing the modified Bessel function of the first kind $I_{\nu}(z)$, implemented in a robust ...
Precise medical image segmentation is important for automating diagnosis and treatment planning in healthcare. While images present the most significa...
Restless legs syndrome (RLS) is a relatively common neurosensory disorder that causes an irresistible urge for leg movement. RLS causes sleep disturba...
The integration of generative AI into developer forums like Stack Overflow presents an opportunity to enhance problem-solving by allowing users to p...
Images of war are almost as old as war itself. From cave paintings to photographs of mobile devices on social media, humans always had the urge to c...