Results 101 to 110 of about 52,311 (259)

Multi‐method analysis for the three‐dimensional reconstruction of muscle fascicles from DiceCT datasets

The Anatomical Record, EarlyView.
Abstract Muscle architecture is a major determinant of muscle performance and, in mammalian lineages, has been correlated with both feeding ecology and locomotor behaviors. Over the past decade, contrast‐enhanced micro‐CT (DiceCT) has emerged as an alternative to traditional dissection‐based measurement.
Aleksandra Ratkiewicz, Michael C. Granatosky, Cassidy E. Davis, Julia Molnar, Adam Hartstone‐Rose, Edwin Dickinson   +5 more
wiley   +1 more source

Comprehensive Characterization of Acer truncatum Leaf Extract: Identification of Systemic Metabolites and Effects on Performance, Antioxidant Status, and Intestinal Microbiota in Laying Hens

Animal Research and One Health, EarlyView.
Dietary A. truncatum leaf extract is absorbed and improves laying performance in aged hens by enhancing systemic antioxidant capacity and modulating the gut microbiota. ABSTRACT The demand for natural feed additives is considerably increasing in the antibiotic‐free feed era.
Kailong Qin, Jiantao Yang, Minglu Gao, Xiaozhao Tao, Xin Yang, Yanli Liu, Xiaojun Yang   +6 more
wiley   +1 more source

Automated Feature Extraction and Classification of Submerged Cultural Heritage Assets in the Puck Lagoon via Multisensor Remote Sensing

Archaeological Prospection, EarlyView.
ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski, Andrzej Pydyn, Mateusz Popek, Anna M. Kotarba‐Morley, Paweł Tysiąc   +4 more
wiley   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

Identifying Systemic Lupus Erythematosus From Serum Proteomic Profiles Using Machine Learning and Genetic Risk Stratification

Arthritis &Rheumatology, EarlyView.
Objective Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Patients with lupus and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu, Jishnu Das, Amr H. Sawalha   +2 more
wiley   +1 more source

Show Me the Brain!!: A modern approach to neuroanatomy education

Anatomical Sciences Education, EarlyView.
Abstract Show Me the Brain!! (SMtB) is a digital system for interactive graphics that is designed to support instruction in neuroanatomy and neuroscience. It will soon be made open‐source and freely available. SMtB bridges medical and traditional neuroanatomy instruction with the computational systems and representational conventions common in ...
Nicholas C. Hindy, Anthony J. Bishara, Ellie Lovellette, John R. Pani   +3 more
wiley   +1 more source

CTP Ontology: A Semantic Model for Structuring Cultural Thematic Paths

Journal of the Association for Information Science and Technology, EarlyView.
Abstract A thematic path enhances the appreciation of cultural heritage by connecting diverse cultural objects through shared themes. This study introduces the Cultural Thematic Path (CTP) Ontology, designed to support the creation, organization, description, publication, and management of thematic paths within the GLAM (Galleries, Libraries, Archives,
Tiziana Pasciuto, Riccardo Albertoni, Roberta Maggi   +2 more
wiley   +1 more source

Operationalizing BioSSbD: A safe‐and‐sustainable‐by‐design framework for biorefineries

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Biorefineries are central to the transition toward a circular bioeconomy; however, their increasing scale and technological heterogeneity, and the integration of biological, chemical, and thermochemical processes introduce complex challenges related to safety, sustainability, and operational reliability. Existing Safe‐and‐Sustainable‐by‐Design
Fernando Ramonet
wiley   +1 more source

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz, Anna‐Lena Drommershausen, Alexander Grünberger, Dirk Holtmann   +3 more
wiley   +1 more source

Eudragit®‐engineered pH‐responsive probiotic microspheres with enhanced gastrointestinal resistance and prolonged storage stability for inflammatory bowel disease therapy

BMEMat, EarlyView.
This study reports the development of AMS@Eud core‐shell microspheres, combining calcium alginate and pH‐responsive Eudragit® L100, which exhibit exceptional gastrointestinal resistance and long‐term storage stability (only 5.28%–9.09% viability loss over 35 days at 4–25°C), and effectively alleviate inflammatory bowel disease via gut microbiota ...
Ming Teng, Xiaomin Luo, Peng Zhang, Chen Yang, Yuniel Ma, Xinhua Liu   +5 more
wiley   +1 more source