Results 131 to 140 of about 53,216 (300)

Pharmacokinetics and safety of tezepelumab in children with mild, moderate or severe asthma and adolescents with mild‐to‐moderate asthma

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Tezepelumab is a human monoclonal antibody that blocks the activity of thymic stromal lymphopoietin and is approved for adolescents and adults with severe asthma. This analysis assessed pharmacokinetics (PK), pharmacodynamics and safety of tezepelumab up to 85 days postdose in adolescents and children.
Anna Lundahl, Jonathan Grigg, Lubna Abuqayyas, Piotr Kuna, Gillian Hunter, Beata Pawlikowska, Jacob Leander, Michael Levin, Atul Gupta, James Paton, Katharine C. Pike, Jane R. Parnes, Gun Almqvist, Stephanie L. Roseti, on behalf of the study investigators   +14 more
wiley   +1 more source

Application of Deep Learning Algorithm for Web Shell Detection in Web Application Security System

Jurnal Sisfokom
A web shell is a script executed on a web server, often used by hackers to gain control over an infected server. Detecting web shells is challenging due to their complex behavior patterns. This research focuses on using a deep learning approach to detect
Rezky Yuranda, Edi Surya Negara
doaj   +1 more source

Nanomedicine‐driven innovations in postoperative cancer immunotherapy: Remodeling tumor microenvironment and precision delivery strategies

BMEMat, EarlyView.
Nanomedicine‐Driven Strategies for Suppressing Postoperative Tumor Recurrence. This schematic illustrates three pivotal nanomedical strategies that synergistically counteract recurrence by targeting residual disease and the immunosuppressive tumor microenvironment within the surgical cavity.
Lisong Pang, Zhuomin Wang, Zhenhua Jin, Ahmed H. Ghonaim, Hengcheng Zhang, Xinyu You, Jinzhuo Ning, Jiaqing Cao, Yang Liu   +8 more
wiley   +1 more source

Digital Technology's Role in Circular Waste Management: A Systematic Review

Business Strategy and the Environment, EarlyView.
ABSTRACT Combining circular economy ideas with digital tools offers a game‐changing way to tackle global sustainability problems. This paper focuses on how digital changes and circular economy models link up. A review has been conducted for 112 articles from 2021 to September 2025, using PRISMA‐2020 methodology. This study covered new tech like AI, IoT,
Reza Eslamipoor
wiley   +1 more source

Perovskite Photodetectors at the Intelligence Frontier: From Tunable Materials to Adaptive Optoelectronic Systems

Carbon Energy, EarlyView.
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li, Wei Qu, Deepak Kumar, Naini Jain, Nur Wardina Syahirah binti Mohamad Fadil, Nur Najiha binti Ahmad Rasid, Emannuel Kymakis, Maria Vasilopoulou, Chunxiong Bao, Feng Gao, Peng Gao, Sanjeev Kumar Sharma, Mohammad Khaja Nazeeruddin, Abd. Rashid bin Mohd Yusoff, Haotong Wei   +14 more
wiley   +1 more source

slices-rnn-supercon

superconductor inverse ...
zhiqiang cui (17865278)
core   +1 more source

A Graph‐Based Generative Artificial Intelligence Methodology for Autocorrection of Utility‐System P&IDs

Chemie Ingenieur Technik, EarlyView.
This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn, Dominik P. Goldstein, Niels Seijsener, Kevin Dao, Ge H. M. Driessen, Artur M. Schweidtmann   +5 more
wiley   +1 more source

GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong, Mohammad Hossein Modirrousta, Mohammad Hossein Nasirpour, Mohammadreza Mirshekari Chargari, Fardin Mohammadi, Seyed Vahid Moravvej, Leila Rezvanishad, Mohammadreza Rezvanishad, Ivan Bakhshayeshi, Roohallah Alizadehsani, Imran Razzak, Hamid Alinejad‐Rokny, Saeid Nahavandi   +12 more
wiley   +1 more source

On the Role of Depth in the Expressivity of RNNs

CoRR
The benefits of depth in feedforward neural networks are well known: composing multiple layers of linear transformations with nonlinear activations enables complex computations. While similar effects are expected in recurrent neural networks (RNNs), it remains unclear how depth interacts with recurrence to shape expressive power. Here, we formally show
Maude Lizaire, Michael Rizvi-Martel, Éric Dupuis, Guillaume Rabusseau   +3 more
openaire   +3 more sources

Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley   +1 more source