Results 171 to 180 of about 362,226 (259)

Improved deep learning model for accurate energy demand prediction and conservation in electric vehicles integrated with cognitive radio networks. [PDF]

Sci Rep
Niranjani V, Haldorai A.
europepmc   +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

Comprehensive energy demand and usage data for building automation. [PDF]

Sci Data
Heer P, Derungs C, Huber B, Bünning F, Fricker R, Stoller S, Niesen B.   +6 more
europepmc   +1 more source

ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan, Yan Jiang, Yuxuan Yong, Tianshuo Zhang, Niannian Zhang, Qianqian Zeng, Xue Gong, Li Meng, Fangfang Bi, Yongmin Liu   +9 more
wiley   +1 more source

Biphasic lipid extraction from microalgae after PEF-treatment reduces the energy demand of the downstream process. [PDF]

Biotechnol Biofuels Bioprod
Papachristou I, Nazarova N, Wüstner R, Lina R, Frey W, Silve A.   +5 more
europepmc   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source

An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection. [PDF]

PLoS One
Sakib M, Siddiqui T, Mustajab S, Alotaibi RM, Alshareef NM, Khan MZ.   +5 more
europepmc   +1 more source

Longitudinal Assessment of Biomarkers in ALS: Discriminative Biomarkers for Disease Progression and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers, Yueh‐Yun Lin, Jason R. Thonhoff, Aaron D. Thome, Alireza Faridar, Weihua Zhao, Shixiang Wen, Stanley H. Appel   +7 more
wiley   +1 more source

Mathematical modeling of Ethiopia's energy demand by sectors and energy types, with forecasts for the next 30 years. [PDF]

Heliyon
Asfaw AH, Teklu G, Birhan A, Eshetu Y, Regasa E, Wondimu T.   +5 more
europepmc   +1 more source

Energy Demand [PDF]

, 1987
openaire   +1 more source