Results 21 to 30 of about 887 (152)

Spin Dynamics in the van der Waals Ferromagnet CrTe2 Engineered by Niobium Doping

Advanced Functional Materials, EarlyView.
Spin‐dynamic magnetic properties of van der Waals (vdW) ferromagnet 1T‐CrTe2 are tuned via niobium (Nb) as Cr1‐xNbxTe2 (x = 0–0.2). Nb doping enables wide‐band tuning of the resonance frequency from 40 GHz down to the few‐GHz regime, accompanied by a moderate increase in the Gilbert damping from ∼0.066 to ∼0.14.
Dhan Raj Lawati, Prem Bahadur Karki, Jitender Kumar, Karishma Prasad, Mohamed A. Elekhtiar, Kai Huang, Bibek Tiwari, Suvechhya Lamichhane, Rupak Timalsina, Zane Hubble, Ayodimeji E. Aregbesola, John Watt, Sy‐Hwang Liou, Evgeny Y. Tsymbal, Jian Wang, Kapildeb Ambal, Abdelghani Laraoui   +16 more
wiley   +1 more source

Adsorption‐Engineered Hydrocarbon Ionomers for Durable Proton‐Exchange Membrane Fuel Cells

Advanced Materials, EarlyView.
Hydrocarbon ionomers suffer from oxidation‐driven interfacial degradation in PEM fuel cell cathodes, leading to catalyst instability. Here, adsorption‐engineered poly(fluorene) ionomers decouple interfacial anchoring from oxidative degradation, enabling strong catalyst–ionomer interactions while resisting electrochemical oxidation.
Heemin Park, Kate Chen, Su Min Ahn, Hengquan Guo, Cy Fujimoto, Jong‐Ho Choi, Lynda Amichi, Danah Kim, Seung Geol Lee, Xiaojing Wang, Jacob S. Spendelow, Sun Young Kang, Panagiotis Bexis, Eun Joo S. Park, Yu Seung Kim   +14 more
wiley   +1 more source

Current Status and Challenges of Imaging‐Based Diagnosis of Lymph Node Metastasis in Colon Cancer: The Lymph Node Committee of the Japanese Society for Cancer of the Colon and Rectum

Annals of Gastroenterological Surgery, EarlyView.
This review of the status and challenges of diagnosis of lymph node metastasis in colon cancer suggests that it is currently difficult to establish strict criteria for lymph node metastasis, indicating only moderate diagnostic performance. ABSTRACT Background Accurate pre‐treatment evaluation of lymph node metastasis (LNM) in colon cancer is important ...
Shimpei Ogawa, Yuji Takayama, Yasuyuki Takamizawa, Yukihide Kanemitsu, Hideki Ueno   +4 more
wiley   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Análisis de la operación en la mejora del proceso de encerado de cítricos

Ingeniería Industrial, 2022
México es considerado uno de los principales productores de cítricos a nivel mundial. El objetivo de este trabajo es presentar el análisis de la operación para la mejora del proceso de encerado de cítricos en una empresa dedicada a esta actividad ...
Inelvy de los Ángeles Arenas Arrieta, Lidilia Cruz-Rivero, Ernesto Lince-Olguín   +2 more
doaj   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Recensiones

Revista de Estudios de la Administración Local y Autonómica, 2014
Reseñas de los libros: Robert BRUEGMANN, La dispersión urbana. Una historia condensada, Comunidad de Madrid-Consejería de Medio Ambiente y Ordenación del Territorio, Madrid, 2011.
Juan Amenós Álamo, María de los Ángeles Fernández Scagliusi   +1 more
doaj   +3 more sources

Application of machine learning for the prediction of atmospheric corrosion in the metropolitan area of mexico city

ITEGAM-JETIA
In this work, Machine Learning (ML) is applied to predict atmospheric corrosion in the Metropolitan Zone of Mexico City. For this purpose, mass loss is measured as a dependent variable associated with the independent variables relative humidity, wetting
Ernesto Bolaños Rodríguez, Juan Islas, Omar López Ortega, Evangelina Lezama León   +3 more
doaj   +1 more source

Real‐Time Biomass Estimation in High‐Density Yeast Fermentations Using Soft Sensor Modeling

Biotechnology and Bioengineering, EarlyView.
Accurate biomass measurements, both offline and online, are essential to improve prediction and control in yeast fermentation. This study develops regression‐based predictive models to correlate offline measurements (Dry Cell Weight and OD600 from a spectrophotometer) with online OD860 probe signals to provide accurate real‐time biomass estimations and
Ana G. Del Hierro, José Luis Checa‐Barrera, Juan A. Moreno‐Cid, Eoin Casey   +3 more
wiley   +1 more source