Results 131 to 140 of about 63,938 (281)

Arterial spin labeling performs comparably to 2‐[18F]fluoro‐2‐deoxy‐D‐glucose positron emission tomography for presurgical evaluation in pediatric lesional epilepsy

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to test whether arterial spin labeling (ASL) performs comparably to 2‐[18F]fluoro‐2‐deoxy‐D‐glucose positron emission tomography (FDG‐PET), the mainstay functional imaging technique, in pediatric lesional epilepsy, while avoiding radiotracer exposure and additional sedation.
Antonio Giulio Gennari, Dorottya Cserpan, Raimund Kottke, Niklaus Krayenbühl, Michael Messerli, Martin W. Hüllner, Ruth O'Gorman Tuura, Georgia Ramantani   +7 more
wiley   +1 more source

Adaptive residual observer-based detection and isolation framework against false data injection attack in large-scale power systems. [PDF]

Sci Rep
Yu X, Gao C, Du Y, Gao B, Tian D, Hou T.
europepmc   +1 more source

Inconsistent Transcriptomic Responses to Hexabromocyclododecane in Japanese Quail: A Comparative Analysis of Results From Four Different Study Designs

Environmental Toxicology and Chemistry, EarlyView.
Abstract Efforts to use transcriptomics for toxicity testing have classically relied on the assumption that chemicals consistently produce characteristic transcriptomic signatures that are reflective of their mechanism of action. However, the degree to which transcriptomic responses are conserved across different test methodologies has seldom been ...
Paul Béziers, Elena Legrand, Emily Boulanger, Niladri Basu, Jessica D. Ewald, Paula Henry, Markus Hecker, Jianguo Xia, Natalie Karouna‐Renier, Doug Crump, Jessica Head   +10 more
wiley   +1 more source

Intelligent cybersecurity management in industrial IoT system using attribute reduction with collaborative deep learning enabled false data injection attack detection approach. [PDF]

Sci Rep
Alrashdi I, Duraibi S.
europepmc   +1 more source

Exercise‐specific plasma proteomic signatures in racehorses: Candidates for training adaptation and peak load monitoring

Equine Veterinary Journal, EarlyView.
Abstract Background Racehorses undergo profound physiological changes with training and competition, but current biomarkers inadequately capture the complex molecular dynamics of exercise. This study aimed to identify novel plasma biomarkers of training adaptation and peak load using high‐throughput proteomics.
Jowita Grzędzicka, Bianka Świderska, Ewa Sitkiewicz, Izabela Dąbrowska, Olga Witkowska‐Piłaszewicz   +4 more
wiley   +1 more source

False data injection attack dataset for classification, identification, and detection for IIoT in Industry 5.0. [PDF]

Data Brief
Habib AKMA, Hasan MK, Hassan R, Islam S, Abbas HS.   +4 more
europepmc   +1 more source

Toxicological Evaluation of the Undesirable Components in Processed Infant Foods Using Artificial Intelligence

Future Postharvest and Food, EarlyView.
The detection of toxins in baby food using artificial intelligence. ABSTRACT Infant foods and baby formulas are becoming increasingly popular across the globe owing to their ease of consumption and nutritional value specific to infants. Impurities may find their way into the food chain at any point from the acquisition of raw materials to final ...
Poornima Singh, Anurag Singh, Ashutosh Upadhyay, Navneet Kumar   +3 more
wiley   +1 more source

Enhancing cybersecurity via attribute reduction with deep learning model for false data injection attack recognition. [PDF]

Sci Rep
Alrslani FAF, Alohali MA, Aljebreen M, Alqahtani H, Alshuhail A, Alshammeri M, Almukadi WS.   +6 more
europepmc   +1 more source

A first‐trimester mechanistic framework integrating three Physiopathologic biomarker domains for pre‐eclampsia classification

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To develop and internally validate a mechanistic, three‐domain framework for early classification and prediction of pre‐eclampsia (PE) using first‐trimester angiogenic, uteroplacental, and maternal vascular biomarkers. Methods In a prospective cohort of 1925 singleton pregnancies screened at 11 to 13.6 weeks, placental growth factor (
Johnatan Torres‐Torres, Salvador Espino‐y‐Sosa, Raigam Jafet Martinez‐Portilla, Elsa Romelia Moreno‐Verduzco, Irma Eloisa Monroy‐Muñoz, Juan Mario Solis‐Paredes, Javier Perez Duran, Hector Borboa‐Olivares, Lourdes Rojas‐Zepeda   +8 more
wiley   +1 more source

Metaheuristics based dimensionality reduction with deep learning driven false data injection attack detection for enhanced network security. [PDF]

Sci Rep
Vaiyapuri T, Aldosari H, Alharbi G, Bouteraa Y, Joshi GP, Cho W.   +5 more
europepmc   +1 more source