Results 101 to 110 of about 61,045 (270)

Advancing Environmental Sustainability: The Role of Artificial Intelligence in Monitoring, Predicting, and Controlling Sulfur Dioxide Emissions

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley   +1 more source

Immersive virtual reality as a teaching tool in neuroanatomy: A scoping review

Anatomical Sciences Education, EarlyView.
Abstract Basic core courses in various undergraduate programs, such as neuroanatomy, pose a challenge for students due to the large volume and complexity of the content. In this context, educational technologies such as immersive virtual reality (IVR), which allow students to actively interact with learning materials, offer a complementary pedagogical ...
Nathálya Gardênia de Holanda Marinho Nogueira, Eloá Naiara de Assis Teodoro, Maria Clara Ramos, Phelipe Henrique Alves Batalha Coelho, Gustavo Eyer de Menezes, Guilherme Menezes Lage, Bárbara de Paula Ferreira, Sara Edith Souza de Assis Leão   +7 more
wiley   +1 more source

Acute effects of THC and a CBD+THC combination on cardiovascular haemodynamics and respiratory muscle activity during loaded breathing in healthy adults: A randomized placebo‐controlled crossover study

British Journal of Clinical Pharmacology, EarlyView.
Aims This study aimed to evaluate the acute effects of cannabidiol plus tetrahydrocannabinol (CBD+THC) and tetrahydrocannabinol (THC) oils on cardiovascular haemodynamics, respiratory muscle activity and peripheral tissue perfusion in healthy adults. Methods In this randomized, double‐blind, crossover trial, participants received orally administered ...
Edna Karla Ferreira Laurentino, Marina Lyra L. C. Fagundes, Bruno Lobão Soares, Rodrigo Torres‐Castro, Matias Otto‐Yañez, Emerson Arcoverde Nunes, Matheus Freitas Fernandes Pedrosa, Jéssica Danielle Medeiros da Fonsêca, Vanessa R. Resqueti, Guilherme Augusto de Freitas Fregonezi   +9 more
wiley   +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

Evaluation result of BA-SVR.

, 2019
Evaluation result of BA-SVR.
Maohui Zhang (6475487), Yifei Yang (585215), Yuewei Dai (3737326)   +2 more
core   +1 more source

Entrepreneurial Ecosystem Conditions and Sustainable Value Creation: Predictive Evidence From Knowledge‐Intensive Ventures in São Paulo, Brazil

Business Strategy and the Environment, EarlyView.
ABSTRACT Entrepreneurial ecosystems (EEs) are systems shaping innovation and sustainable development, yet limited evidence exists on the relative predictive contribution of their components to sustainable value creation. This study examines associations between six EE dimensions and environmental, social and economic value creation among 245 knowledge ...
Damaris Chieregato Vicentin, Gustavo Hermínio Salati Marcondes de Moraes, Bruno Brandão Fischer, João Henrique Paulino Pires Eustachio, Walter Leal Filho   +4 more
wiley   +1 more source

Univariate predictors of non-SVR.

, 2019
Univariate predictors of non-SVR.
Yi-Hao Yen (837269), Kwong-Ming Kee (738453), Tsung-Hui Hu (349887), Chao-Hung Hung (349882), Jing-Houng Wang (349885), Sheng-Nan Lu (53407), Chien-Hung Chen (367115)   +6 more
core   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Algorithms based on support vector regression to predict future glycemia in type 1 diabetes therapy

, 2022
openIl diabete mellito è una patologia epidemica mondiale e, secondo i più recenti dati dell’Organizzazione Mondiale della Sanità, si classifica come la nona causa di morte nel mondo. Si distinguono due diverse tipologie di diabete mellito: il diabete
BUSINARO, GIADA
core  

Electrospun Porous Materials for the Next‐Generation Proton Exchange Membrane Fuel Cells: Progress, Challenges, and AI‐Optimized Perspectives

Carbon Energy, EarlyView.
Incorporating AI to optimize solution, process, and environment enables efficient prediction of structural properties and performance, allowing tailoring of GDL, CL, and PEM fabrication to guide PEMFC toward 9.0 kW L‒1 by 2040. ABSTRACT The performance and commercial viability of proton exchange membrane fuel cells (PEMFCs) are constrained by key ...
Shangfeng Jiang, Panfeng Wang, You Gong, Zeyu Sun, Huatan Chen, Geng Wang, Ting Tao, Chuang Zhai, Xi Wang, Ruixin Chen, Jiaxin Jiang, Bingrong Zhang   +11 more
wiley   +1 more source