Results 141 to 150 of about 207,385 (262)

Evaluating the Impact of Cultivar and Processing on Pulse Off-Flavor Through Descriptive Analysis, GC-MS, and E-Nose. [PDF]

J Food Sci
Ponskhe K, DuBois A, Towa L, Hooper S, Cichy K, Mayhew EJ.   +5 more
europepmc   +1 more source

Predicting Crystal Structures and Ionic Conductivities in Li3YCl6−xBrx Halide Solid Electrolytes Using a Fine‐Tuned Machine Learning Interatomic Potential

Advanced Intelligent Systems, EarlyView.
This study refines the Crystal Hamiltonian Graph Network to predict energies, structures, and lithium‐ion dynamics in halide electrolytes. By generating ordered structural models and using an iterative fine‐tuning workflow, we achieve near‐ab initio accuracy for phase stability and ionic transport predictions.
Jonas Böhm, Aurélie Champagne
wiley   +1 more source

Effects of Cooking Methods on the Flavor Characteristics of Volatiles of <i>Boletus edulis</i> Based on GC-IMS, E-Nose, and Sensory Evaluation. [PDF]

Food Sci Nutr
Wu X, Wang J, Liu H, Sun F, Liu F, He J, Tian F, Gan C.   +7 more
europepmc   +1 more source

Remote Language Assessment in School‐Age Children With Phelan–McDermid Syndrome and Genotype–Phenotype Correlation

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT People with Phelan–McDermid syndrome (PMS) have reduced speech and language abilities, yet little research has profiled the communication abilities in this population. The purpose of this study was threefold: identifying the language and communication profiles of school‐aged children with PMS, identifying genetic contributions to language and ...
Sarah Quadri‐Valverde, Jessica Klusek, Linda D. Ward, Diana Ivankovic, Nancy Powers, Vijay Shankar, Rachel A. Lyman, Trudy F. C. Mackay, William Bridges, Katy Phelan, Curtis Rogers, Luigi Boccuto, Sara M. Sarasua   +12 more
wiley   +1 more source

Multivariate Gas Sensor E-Nose System with PARAFAC and Machine Learning Modeling for Quantifying and Classifying the Impact of Fishing Gears. [PDF]

Sensors (Basel)
Silva-Alvarado VL, Lloret J.
europepmc   +1 more source

De Novo Complex Genomic Rearrangement Spanning 2q31.1 in a Proband With Congenital Malformations: Genotype–Phenotype Correlation and Development of a CGR Detection Pipeline

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT The 2q31 region is commonly associated with pathogenic alleles of the HOXD cluster leading to various clinical phenotypes related to skeletal development. We present a proband with tetralogy of Fallot and multiple congenital anomalies. Genomic variant screening including an in‐house CGR detection pipeline pairing genome sequencing (GS ...
Katherine Helle, Jesse D. Bengtsson, Mira Gandhi, Christopher M. Grochowski, Ming Yin Lun, Neha Sudhir, Shalini N. Jhangiani, Fritz J. Sedlazeck, Seema R. Lalani, Neil A. Hanchard, Claudia M. B. Carvalho   +10 more
wiley   +1 more source

Automated Assessment of Green Infrastructure Using E-nose, Integrated Visible-Thermal Cameras and Computer Vision Algorithms. [PDF]

Sensors (Basel)
Shahid A, Fuentes S, Gonzalez Viejo C, Widdicombe B, Unnithan RR.   +4 more
europepmc   +1 more source

Advanced E-Nose System

International Journal for Research in Applied Science and Engineering Technology, 2019
openaire   +1 more source

Clinical, Behavioral and Neuroradiological Phenotype in an Italian Cohort of Patients With Xia Gibbs Syndrome: A Multicenter Cross‐Sectional Study and Systematic Literature Review

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Heterozygous variants in the AHDC1 gene are associated with Xia Gibbs Syndrome (XGS), a genetic disorder with a highly variable phenotype. Cognitive impairment, motor delay, language delay, neonatal hypotonia, and sleep apnea are considered “cardinal” signs of the disease.
Giulia Cinelli, Stefania Della Vecchia, Patrizia Bergonzini, Elisa Caramaschi, Elisabetta Spezia, Claudia Parenti, Simona Filomena Madeo, Laura Lucaccioni, Cavalleri Francesca, Marisa Pugliese, Federico Raviglione, Clara Colonna, Olga Calabrese, Ilaria Stanghellini, Maria Carmen Marongiu, Enrico Biagioni, Anna Rita Ferrari, Roberta Battini, Lorenzo Iughetti   +18 more
wiley   +1 more source

AI-driven 5G IoT e-nose for whiskey classification. [PDF]

Appl Intell (Dordr)
Segura-Garcia J, Fayos-Jordan R, Alselek M, Maicas S, Arevalillo-Herraez M, Navarro-Camba EA, Alcaraz-Calero JM.   +6 more
europepmc   +1 more source