Results 81 to 90 of about 1,664 (287)

Adaptive pathways for low-carbon steel: From waste utilization to policy-driven transitions

Cleaner Engineering and Technology
This study investigates the decarbonization of steel production by integrating advanced technologies and regional policy mechanisms, targeting the significant carbon footprint of the sector.
Rozhin Ziayeepour, Masoumeh Bararzadeh Ledari, Maryam Fani, Roya Vahedi   +3 more
doaj   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Transforming ports for a low-carbon future: Nexus modeling of hydrogen infrastructure, employment, and resource management in contrasting climates

Energy Nexus
This research study highlights a transformative approach to port development for a low-carbon future by integrating Climate, Land, Energy, and Water Systems (CLEWs) and Water-Energy-Food (WEF) frameworks.
Amirhossein Kordi, Kimia Mohebbi, Masoumeh Bararzadeh Ledari, Seyed Mohammad Shirafkan   +3 more
doaj   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Report: Modeling the Impacts of Altering the Power Generation Mix on the Climate, Land, Energy and Water (CLEWs) Nexus in Kenya

<p><span>A Climate, Land, Energy, Water Systems (CLEWS) model to assess the impacts of altering the power generation mix in Kenya. The CLEWS framework was used to develop three scenarios, Baseline, Reduced Carbon Emissions (RCE), and ...
Omondi, Rose, Manono, Sylvia Sarange
core   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Facile and tailored synthesis of ultrahigh-surface-area clews of carbon nanobelts for high-rate lithium–sulfur batteries

, 2017
Hierarchical clews of carbon nanobelts (CsCNBs) with surface area up to 3445 m2g−1have been synthesized by a template-free method from low cost raw materials.
Yuechao Yao, Haitao Huang, Liang Yu, Wenxuan Tu, Shao-Zhong Zeng, Hongliang Wu, Wenwu Jin, Xierong Zeng, Jizhao Zou   +8 more
core   +1 more source

IMPACCT: An integrated assessment model for policy and financial decision-making in energy planning

Energy Strategy Reviews
As global environmental challenges increase, the need for integrated energy modelling to facilitate data-driven decision-making in energy policy and finance is critical.
Naomi Tan, Ioannis Vrochidis, Hannah Luscombe, Emma Richardson, Fernando Plazas-Niño, Kane Alexander, Leigh Martindale, Neve Fields, Mark Howells, Vivien Foster, John Harrison   +10 more
doaj   +1 more source

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source