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158. Contenido

159. Characterization of the particle size distribution, mineralogy, and Fe mode of occurrence of dust-emitting sediments from the Mojave Desert, California, USA

160. Clinical and diagnostic evaluation of a wild ocelot (Leopardus pardalis) specimen

161. Probing Iceland's dust-emitting sediments: particle size distribution, mineralogy, cohesion, Fe mode of occurrence, and reflectance spectra signatures

162. Impacto social y humanitario de las jornadas de apoyo al desarrollo que son realizadas por el grupo de acción integral de la armada nacional

164. A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts

165. Assessing Quality of a Business and Information Technology Alignment Large Enrollment Course

166. RPC based tracking system at CERN GIF++ facility

167. Primes and composites in the determinant Hosoya triangle

168. Probing new physics at the LHC with $\mathrm{b}\tau\nu$ final states

169. Ferroelectric response to interlayer shifting and rotations in trilayer hexagonal Boron Nitride

170. Probing a $\mathrm{Z}^{\prime}$ with non-universal fermion couplings through top quark fusion, decays to bottom quarks, and machine learning techniques

171. Rationalizing doping and electronic correlations in LaFe$_2$As$_2$

172. Estimation of Shade Losses in Unlabeled PV Data

173. TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter

174. Enhanced nonlinear interferometry via seeding

175. Non-Parametric Temporal Adaptation for Social Media Topic Classification

176. Activity from matroids to rooted trees and beyond

189. Artificial Intelligence in the Teaching of Natural Sciences on the Threshold of the Fifth Industrial Revolution

192. A Survey on Digital Twin Networks: Use Cases and Enabling Technologies

193. Victims of Enforced Disappearance in Digital Press Narratives in Colombia and Mexico

200. Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy

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