Pretreatment diffusion weighted imaging (DWI) is effective to predict the response to chemotherapy for spine metastases of breast cancer, but current methods of analyzing DWI data with multiple b-values require a predefined mathematical model for curve fitting. This study proposes and validates a method of combining hi...
Hai-Tao Zhu, Yan‐Jie Shi, Xiao-Ting Li et al.· BMC Medical Imaging· 0 citations
DFDM links noise-dependent denoising with molecular graph quality by integrating complementary local and global representations throughout generation by using signal-to-noise-ratio-guided, layer-specific weights to adapt their contributions during reverse generation.
Long-Bin Sun, Xiu-Juan Lei, Mei Ma· Molecular diversity· 0 citations
The present study aimed to develop and evaluate a flucytosine-loaded invasomal gel for improved topical antifungal drug delivery. Nine invasomal formulations (F1–F9) were prepared by varying terpene and phosphatidylcholine concentrations while maintaining flucytosine concentration at 1% w/v. The prepared invasomes were...
Manu Kumar Singh*, Dr. Sandesh Asati, Dr. Brijesh Sirohi, Dr. Vishnu Raj· Zenodo (CERN European Organi...· 0 citations
Lacuna discovers cryptic binding pockets: sites that are absent or too small to detect in a protein's unbound structure and open only during conformational fluctuation. It generates a conformational ensemble from any input structure, detects pockets independently in every conformer, clusters the detections into persist...
Clayton Moore· Zenodo (CERN European Organi...· 0 citations
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Cracking is the dominant serviceability and durability pathway in reinforced concrete because it accelerates the ingress of water, chlorides, sulfates, carbon dioxide, and other aggressive species toward the cement matrix and steel reinforcement. Self-healing concrete (SHC) seeks to convert this passive material into a...
Khaled Aldhufri· Zenodo (CERN European Organi...· 0 citations
Resumen La noción de brecha digital nació para describir una diferencia binaria de acceso físico a computadoras e internet. La investigación posterior la reformuló como una desigualdad estratificada en niveles (acceso, habilidades y usos, resultados), pero la difusión de la inteligencia algorítmica, es decir, de los si...
D Craig· Zenodo (CERN European Organi...· 0 citations
The paper proposes a new green‑growth framework that moves beyond the traditional Environmental Kuznets Curve (EKC), arguing that the EKC’s assumed trajectory—where environmental degradation rises and then falls with income—no longer reflects the dynamics of modern, energy‑intensive economies. Drawing on surplus‑energy...
Hunter Hughes· Zenodo (CERN European Organi...· 0 citations
spectraMR is a research framework for MRI reconstruction, super-resolution and generative modelling. It spans GAN, diffusion (including cold and latent diffusion), VAE/VQ-VAE, masked-autoencoder and self-supervised pretraining, reconstruction-only, domain-adaptation, physics-driven, disentangled, sensitivity-estimation...
Adnane Gdihi· Zenodo (CERN European Organi...· 0 citations
Abstract This study explores entropy generation in the magnetohydrodynamic flow of a tetra hybrid nanofluid. ( $${\text{Al}}_{2} {\text{O}}_{3} - {\text{Cu}} - {\text{SiO}}_{2} - {\text{TiO}}_{2} /{\text{H}}_{2} {\text{O}}$$ ) over a permeable surface embedded in a Darcy–Forchheimer porous medium, motivated by the need...
M. S. Pooja, J. Santhosh Kumar, K. M. Praveena Kumara et al.· Discover Applied Sciences· 0 citations
This study looks at how technological diffusion and security infrastructure shape economic development, with GDP per capita as the main outcome measure. The aim is to explain why income levels and growth trajectories differ across advanced, transitional, and developing economies — and what structural features drive tho...
Dance Nikolovska Vrateovska, Snezana Mojsoska, Vladimir Kitanov· Zenodo (CERN European Organi...· 0 citations
This study reports the experimental design-based optimization of ionic self-assembled lecithin (LC)–chitosan (CS) hybrid nanoparticles using progesterone (PG), a poorly water-soluble lipophilic model drug, to investigate the design-driven development of these nanoparticles. Nanoparticles were prepared by ethanol inject...
Brenda Alves Lopes, Thais Letícia Moreira da Silva, Patrícia Mazureki Campos et al.· Colloid & Polymer Science· 0 citations
This paper presents a hybrid semi-analytical/deep-learning framework for nonlinear PDEs, combining the New Iterative Method (NIM) with Physics-Informed Neural Networks (PINNs). A truncated NIM series provides a closed-form baseline satisfying the initial condition exactly, while a neural network learns only the residua...
A. Alshehry, Saima Noor, Humaira Yasmin et al.· Scientific Reports· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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