Results 11 to 20 of about 1,639 (186)

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Urinary Tumor DNA to Identify Candidates for Repeat Transurethral Resection in Non-Muscle-Invasive Bladder Cancer. [PDF]

Cancer Sci
Urinary tumor DNA (utDNA) represents a powerful noninvasive biomarker to refine the need for repeat TURBT in high‐risk NMIBC. In our cohort of 161 patients, utDNA testing achieved superior accuracy to cytology, strongly predicted residual disease and recurrence, and could safely reduce unnecessary repeat resections by up to one‐third.
Xue Z, Qie Y, Shen C, Wu Z, Chen H, Lin Y, Li R, Huang S, Hu H.   +8 more
europepmc   +2 more sources

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Reputational Risk: An Investigation Into How Environmental Failures Drive Stock Price Crashes

Business Strategy and the Environment, EarlyView.
ABSTRACT The study examines the relationship between stock price crashes and firm environment reputational risk. Using a large sample of US listed firms, covering a time span from 2007 to 2021, we test the effect of environmental reputation risk on three measures for the stock price crash risk (NEGCSK, DRUV, and CRASH).
Man Dang, Premkanth Puwanenthiren, Edward Jones, Hoang Long Phan, Abdelhafid Benamraoui   +4 more
wiley   +1 more source

Debunking the Myth: A Dive Into the Role of Relational Capital in Sustainable Food Production Systems

Business Strategy and the Environment, EarlyView.
ABSTRACT The shift towards sustainable food production is essential to address the urgent dual challenges of climate change and population growth, with agricultural cooperatives playing a vital role in this transformation. However, many cooperatives struggle to deliver the expected value to their members.
Ismail Badraoui, Tarik Saikouk, Nejib Fattam, Ahmed Hamdi, Vikas Kumar   +4 more
wiley   +1 more source

Innovating for Net‐Zero: Collaborative and Digital Decarbonisation Strategies in Sunset Industries' Global Value Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT Global net‐zero ambitions require transformative strategies to decarbonise carbon‐intensive global value chains (GVCs). This study examines how multinational enterprises (MNEs) in sunset industries integrate carbon capture technologies (CCT) with operational and supply chain dynamics (OSCD) to advance decarbonisation.
Muhammad Mustafa Kamal, Narain Gupta, Ashem Emmanuel Egila, Jianwen Zheng, Attique ur Rehman, Justin Zuopeng Zhang, Remsei Sándor   +6 more
wiley   +1 more source

The role of cardiac acoustic biomarkers in monitoring patients with heart failure: A systematic literature review

ESC Heart Failure, Volume 12, Issue 2, Page 980-997, April 2025.
Abstract Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF.
Javed Butler, Malcolm Brown, Philippe Prokocimer, Ashley C. Humphries, Sophie Pope, Olivia Wright, Jun Su, Osama Elnawasany, Bogdan Muresan   +8 more
wiley   +1 more source

Optimization of Energy Efficiency in Photovoltaic Water Pumping Systems Using Neural Networks

Energy Science &Engineering, EarlyView.
This study investigates an optimal control strategy for a photovoltaic (PV) water pumping system aimed at improving efficiency and autonomy in off‐grid applications. The system uses an induction motor with direct torque control and compares three maximum power point tracking (MPPT) techniques: neural network–based MPPT, Incremental Conductance (IC ...
Sihem Ghoudelbourk, Habib Benbouhenni, Z. M. S. Elbarbary, Mohamed Benidir   +3 more
wiley   +1 more source

Service Work as Lived Experience: A Problematizing Review

Human Resource Management, EarlyView.
ABSTRACT Between employee burnout and growing recruitment challenges, a systemic crisis confronts the service industry. One reason lies in the scope of received human resource management (HRM) approaches, which often emphasize organizational performance metrics at the expense of the emotional, social, and material experiences of doing frontline service
Kushagra Bhatnagar, Julien Cayla, Jean‐Baptiste Suquet   +2 more
wiley   +1 more source