Results 191 to 200 of about 51,507 (261)

Efficacy and safety of cannabinoids in the treatment of spasticity in multiple sclerosis: A systematic review of randomized clinical trials

British Journal of Clinical Pharmacology, EarlyView.
Aims This work aimed to evaluate the efficacy and safety of cannabinoids for the treatment of MS‐related spasticity. Methods Systematic searches were conducted in PubMed, EMBASE, and LILACS on 2 December 2025. Randomized controlled trials evaluating natural or synthetic cannabinoids for MS‐related spasticity were included.
Letícia Hamm‐Buiar, Daniela Gorski, Marcela Harumi Kagueiama, Astrid Wiens   +3 more
wiley   +1 more source

Interval Prediction of Remaining Useful Life Based on Uncertainty Quantification with Bayesian Convolutional Neural Networks Featuring Dual-Output Units. [PDF]

Sensors (Basel)
Qu Z, He J, Liu Y, Mao S, Han X.
europepmc   +1 more source

Minimizing Off‐Target Effects of CRISPR‐Cas9 With Optimized sgRNA: Evaluation of Efficiency and Specificity in the Tumor Protein 53 (TP53) Region

Biotechnology and Bioengineering, EarlyView.
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) – Cas9‐based genome editing has emerged as a widely used tool across various disciplines, ranging from molecular biology to gene therapy. This revolutionary technology, which enables precise gene editing, represents a significant advancement in biotechnology, opening new frontiers for ...
Ali Mertcan Köse, Monia Ranalli, Drenka Trivanovic, Irina Maslovaric   +3 more
wiley   +1 more source

Advances in causal discovery methods for ecological time series

Biological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki, Masato Yamamichi, Yutaka Osada, Masayuki Ushio, Kohei Nakajima, Hiroshi Masuya, Shohei Shimizu   +6 more
wiley   +1 more source

NbBayesLM: bayesian prediction of nanobody thermostability using protein language model. [PDF]

Front Bioinform
Shishir FS, Rudro R, Sarker B, Zhong C, Shomaji S.   +4 more
europepmc   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Bayesian Networks and Causal Discovery. [PDF]

Entropy (Basel)
Gao X, Wang Z.
europepmc   +1 more source

Achieving Carbon Neutrality: Strategic Pathways to Sustainability and Net Zero in Manufacturing Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT Reaching global net‐zero targets has become an urgent priority as businesses and nations face increasing pressure to reduce greenhouse gas emissions. Achieving carbon neutrality in manufacturing supply chains requires comprehensive systemic changes across business processes.
Vimal K. E. K., Sivakumar K., Jayakrishna Kandasamy, Umesh Kumar, Anil Kumar, Ashutosh Samadhiya   +5 more
wiley   +1 more source

Bayesian regularization optimization technique for hybrid nanofluid with Cattaneo Christov flux model using wax and sand nanoparticles. [PDF]

Discov Nano
Liaqat S, Alhashmi AA, Jaghdam IH, Alkhaldi TM, Abbas M, Darem AA.   +5 more
europepmc   +1 more source

Forecasting Airport Passenger Flows Using Mobile Network Data: Insights for Sustainable Mobility and Strategic Infrastructure Planning

Business Strategy and the Environment, EarlyView.
ABSTRACT Airports are strategic and environmental nodes in global transport systems where rapid passenger growth challenges capacity, sustainability, and resilience. This study uses anonymized mobile network data to analyze and forecast passenger dynamics at Lisbon Airport, Portugal, linking data‐driven insights to sustainable mobility and ...
João Carlos Ferreira, Carlos M. P. Sousa, Marco Esperança, Babak Taheri   +3 more
wiley   +1 more source