Results 101 to 110 of about 705,550 (337)

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

Educating children in Architecture: XXth architectural narratives troughs toys design [PDF]

, 2014
Ponencia presentada a Session 2: La infancia en el medio ambiente urbano / The urban childTeaching processes are, since renaissance, created and supported in order to develope specifically skills for a small part of the society.
Ginoulhiac, Marco
core  

System architecture design [PDF]

Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2016
Eckert, Claudia, Jankovic, Marija
openaire   +4 more sources

The MSA Atrophy Index (MSA‐AI): An Imaging Marker for Diagnosis and Clinical Progression in Multiple System Atrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo, Kilian Hett, Amy Cooper, Amy E. Brown, Jessica Iregui, Manus J. Donahue, M. Erik Landman, Italo Biaggioni, Margaret Bradbury, Cynthia Wong, David Stamler, Daniel O. Claassen   +11 more
wiley   +1 more source

Spatial distribution and influencing factors of traditional villages in South Henan region based on GIS analysis

Journal of Asian Architecture and Building Engineering
Traditional villages serve as significant carriers of Chinese cultural heritage, embodying a rich history and unique regional characteristics, and hold considerable research value.
Xiaofang Bi, Xueyi Peng, Zhaokui Zhuang, Nana Zhu   +3 more
doaj   +1 more source

ICU‐EEG Pattern Detection by a Convolutional Neural Network

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano, Hervé Quintard, Andreas Kleinschmidt, Nikita Francini, Oana E. Sarbu, Pia De Stefano   +5 more
wiley   +1 more source

The impact of amenities in rural bed and breakfasts on tourists' emotional experience and behavioral intentions: Perspectives from amenity theory

Acta Psychologica
Amenity theory holds that elements providing pleasant experiences can fulfill emotional needs, attract people, and foster regional development. Utilizing this theory and taking the rural Bed and Breakfasts (B&Bs) in the Yuntai Mountain area as an example,
Hui Liu, Jian Zhang, Ziyao Jia, Haiyan Yan   +3 more
doaj   +1 more source

Annual reports of the schools of drawing, machine design and naval architecture for the sessions of 1903–1904 [PDF]

, 1904
Alex J. MacLean
openalex   +1 more source

Shaped Hierarchical Architectural Design

Electronic Notes in Theoretical Computer Science, 2004
AbstractArchitectural design of software systems deals with high level configuration structuring. Checking that a system belongs to a software architecture style (or shape) implies that the architecture is an instance of a structurally defined class.
Hirsch, Dan, Montanari, Ugo
openaire   +3 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source