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Dastawez Jahan-Numa

World News, Faithfully Reported

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Health

1353 stories

Public health and medicine worldwide — sourced from WHO News.

Dastawez Jahan-Numa

EdiTikZ: Scientific Figure Editing from Revision Trajectories

arXiv:2609.01409v1 Announce Type: new Abstract: Vision-language models (VLMs) have shown strong performance in generating scientific figures from text or images. However, producing publication-ready figures requires iter…

arXiv (cs)1h ago
Dastawez Jahan-Numa

Blackbox Small-Signal Modeling of Grid-Connected Inverters in Asymmetrical Power Grids

arXiv:2609.01411v1 Announce Type: new Abstract: Power electronic converters are envisaged to be key enablers of modern electric power distribution systems. Grid-connected three-phase inverters are widely used in Smart Gr…

arXiv (cs)1h ago
Dastawez Jahan-Numa

Predicting Subsurface Abnormalities Growth using Physics-Informed Neural Networks

arXiv:2609.01417v1 Announce Type: new Abstract: The research explores the pioneering integration of Physics-Informed Neural Networks (PINNs) into the domain of Ground-Penetrating Radar (GPR) data prediction. This researc…

arXiv (cs)1h ago
Dastawez Jahan-Numa

Provably Safe Sim-to-Real Transfer

arXiv:2609.01418v1 Announce Type: new Abstract: To mitigate the sample complexity of real-world reinforcement learning (RL), a common practice is to first train a policy in a simulator, where samples are cheap, and then …

arXiv (cs)1h ago
Dastawez Jahan-Numa

Vision-Based Leader-Follower Formation Control for Cooperative UAVs in GPS-Degraded Environments

arXiv:2609.01420v1 Announce Type: new Abstract: Cooperation in multi-UAV systems requires reliable relative perception so that follower vehicles can maintain formation and continue their mission safely even when absolute…

arXiv (cs)1h ago
Dastawez Jahan-Numa

From Rollouts to Recipes: Self-Contained Post-Training for LLMs

arXiv:2609.01422v1 Announce Type: new Abstract: Post-training large language models usually applies a single training recipe to all samples, even though the model's own rollouts reveal different sample-level learning sta…

arXiv (cs)1h ago
Dastawez Jahan-Numa

MegaStyle++: Scaling Image Style Space through Hierarchical Style Definition

arXiv:2609.01423v2 Announce Type: new Abstract: Image style is a highly abstract, human-constructed concept shaped by a range of visual factors and intrinsically entangled with content, yet a unified and explicit definit…

arXiv (cs)1h ago
Dastawez Jahan-Numa

CATeye: Coupled Attribute-Topology Invariance Learning for Voucher Abuse Detection

arXiv:2609.01425v1 Announce Type: new Abstract: Voucher abuse poses a major challenge in e-commerce, where malicious users exploit promotional vouchers for profit. Unfortunately, fraud patterns evolve rapidly over time a…

arXiv (cs)1h ago
Dastawez Jahan-Numa

Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading

arXiv:2609.01426v1 Announce Type: new Abstract: Clear cell renal cell carcinoma (CCRCC) grading is essential for treatment planning, yet existing approaches either analyze patch-level images directly or focus solely on n…

arXiv (cs)1h ago
Dastawez Jahan-Numa

Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications

arXiv:2609.01427v1 Announce Type: new Abstract: Dense self-supervised learning (SSL) is a powerful paradigm for learning without annotations the local descriptors required to solve dense medical imaging tasks. We present…

arXiv (cs)1h ago
Dastawez Jahan-Numa

TRIAGE: Three-level Routing and Intelligent Agent Guidance for Efficient Execution

arXiv:2609.01428v1 Announce Type: new Abstract: Large Language Model (LLM) agents based on the ReAct paradigm have demonstrated remarkable capabilities in tool use and task execution. However, ReAct suffers from a fundam…

arXiv (cs)1h ago
Dastawez Jahan-Numa

Learning Sparse Decision Trees via Transformer Variational Auto-Encoders

arXiv:2609.01430v1 Announce Type: new Abstract: Decision trees are among the most widely used models in machine learning, largely due to their transparent decision logic, making them well-suited for high-stakes decision-…

arXiv (cs)1h ago
Dastawez Jahan-Numa

Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search

arXiv:2609.01431v1 Announce Type: new Abstract: Optimal hyperparameter scaling laws describe how the best hyperparameters for large language model (LLM) training change with model and data scale, enabling practitioners t…

arXiv (cs)1h ago
Dastawez Jahan-Numa

Citing Less Critically: LLMs Reshape the Rhetoric and Reach of Scientific Citation

arXiv:2609.01432v1 Announce Type: new Abstract: Scientific citations carry rhetorical intent. Scholars may cite prior work positively (supporting), negatively (contrasting), or neutrally (mentioning). As large language m…

arXiv (cs)1h ago
Dastawez Jahan-Numa

Gaussian Core LoRA: Distribution-Aware Dynamic Adaptation for Broad Concept Erasure

arXiv:2609.01433v1 Announce Type: new Abstract: Concept erasure aims to suppress unsafe, privacy-sensitive, or undesirable generations in text-to-image diffusion models while preserving benign semantics, visual quality, …

arXiv (cs)1h ago
Dastawez Jahan-Numa

Score-Based Generative Data Assimilation for Integrating Aggregated Surveillance Data into Agent-Based Models in Epidemic Tracking

arXiv:2609.01434v1 Announce Type: new Abstract: Reliable epidemic monitoring often requires inferring regional infection burden and transmission heterogeneity from noisy, spatially aggregated, and potentially sparse surv…

arXiv (cs)1h ago
Dastawez Jahan-Numa

HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?

arXiv:2609.01437v1 Announce Type: new Abstract: As agents move from research prototypes to deployed tools, their capability increasingly depends on model-external execution infrastructure, commonly termed the agent harne…

arXiv (cs)1h ago
Dastawez Jahan-Numa

Cross-Modal Guidance for Out-of-View Object Search in Simulated Prosthetic Vision

arXiv:2609.01438v1 Announce Type: new Abstract: Out-of-view guidance is well established in virtual and augmented reality, but its effectiveness may depend on the visual bandwidth available to the user. We test this unde…

arXiv (cs)1h ago
Dastawez Jahan-Numa

Edge-Girth as a Structural Edge Feature for Graph Neural Networks

arXiv:2609.01441v1 Announce Type: new Abstract: Graph neural networks (GNN) based on message passing are provably no more powerful than the one-dimensional Weisfeiler--Leman colour-refinement test (1-WL): two graphs it c…

arXiv (cs)1h ago
Dastawez Jahan-Numa

Diffusion as a Training Curriculum for Timestep-Free Iterative Reasoning

arXiv:2609.01449v1 Announce Type: new Abstract: Diffusion models and recursive reasoners are both iterative, but they carry information across iterations differently. We add a persistent hidden state to a diffusion denoi…

arXiv (cs)1h ago
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