Results 241 to 250 of about 26,519 (281)

Abstract Interpretation of Functional Programs using an Attribute Grammar System

, 2009
Jeroen D. Fokker, S. Doaitse Swierstra
openalex   +1 more source

The Impact of Militarization and Industrialization as a Threat to Sustainable Environmental Development in NATO Countries

Sustainable Development, EarlyView.
ABSTRACT There has been an increase in defense investment in recent years, which makes it necessary to investigate its impact on environmental degradation. This study examines the long‐term relationships between militarization, industrialization, and environmental degradation as a risk factor and threat to sustainable environmental development in NATO ...
Ahmet Keser, Nalan Işik, Pelin Aliyev, Eda Dineri, Zeynep Kose   +4 more
wiley   +1 more source

Sustainable Schools: Changing Society Towards Sustainability

Sustainable Development, EarlyView.
ABSTRACT A change in mindset has taken place in educational institutions, characterised by a growing awareness of sustainability and environmental aspects. Inspired by the UNESCO Global Action Programme, various ministries have allowed to be certified as a School of Sustainability at different levels, albeit on a voluntary basis and without substantial
Monika Bauer, Gertrud E. Morlock
wiley   +1 more source

A novel binary hashing for agricultural scenery classification. [PDF]

Sci Rep
Wang H, Liu JH, Yang Y.
europepmc   +1 more source

Uncovering Semantic Patterns in Sustainability Research: A Systematic NLP Review

Sustainable Development, EarlyView.
ABSTRACT This study maps how Natural Language Processing (NLP) contributes to sustainability. Using a PRISMA‐guided review of 131 English‐language articles from Web of Science (2018–2025), we combine bibliometric co‐word mapping with BERTopic to derive complementary structural and semantic views. Four themes emerge: Topic 0—Climate Change Discourse and
Ehsan Tashakori, Yaser Sobhanifard, Adel Aazami, Rahim Khanizad   +3 more
wiley   +1 more source

Designing “Korean” Kimchi: Speculative Configuration of Distance and Commodity Value in the Chinese Kimchi Industry

Economic Anthropology, EarlyView.
ABSTRACT In the Chinese kimchi industry, manufacturers employ product names, photographs, and logistical strategies to promote their kimchi's “Koreanness.” So, what makes their kimchi “Korean,” and how does its Koreanness formulate kimchi's commodity value?
Heangjin Park
wiley   +1 more source

From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity

Small, EarlyView.
Antimicrobial peptides (AMPs) are promising candidates for next‐generation antibiotics, acting through mechanisms such as membrane disruption and intracellular targeting. This review examines how variations in bacterial membrane composition critically influence AMP activity.
Paolo Rossetti, Marius F.W. Trollmann, Christina Wichmann, Thomas Gutsmann, Christian Eggeling, Rainer A. Böckmann   +5 more
wiley   +1 more source

Electrochemical and Mechanical Evolution of Sulfide‐Based Solid Electrolytes: Insights from Operando XPS and Cell Pressure Measurements

Small, EarlyView.
This research explores the electro‐chemo‐mechanical properties of Li3PS4 solid electrolytes in all‐solid‐state batteries beyond their electrochemical stability window. Employing operando X‐ray photoelectron spectroscopy and operando pressure measurements, it identifies and quantifies the Li3PS4 redox byproducts, their onset‐potentials and reversibility,
Valerie Siller, Linfeng Xu, Laurent Castro, Aurélie Guéguen, Mario El Kazzi   +4 more
wiley   +1 more source

Idea Density and Grammatical Complexity as Neurocognitive Markers. [PDF]

Brain Sci
Iacono D, Feltis GC.
europepmc   +1 more source

Machine Learning‐Assisted Prediction of State of Health in Lithium Metal Batteries with Electrochemical Impedance Spectroscopy

Small Science, EarlyView.
This study investigates the artificial intelligence‐driven method for predicting the state of health of lithium metal batteries based on electrochemical impedance spectroscopy (EIS) data. Four machine learning algorithms achieve accuracy exceeding 95%, identifying phase shift as a critical feature for prediction and establishing a connection between ...
Jinsoo Yoon, Seoyoung Chae, Chaeyoung Jeong, Minju Lee, Sohui Jang, Kyoohee Woo, Hyungmin Cho, Wooseok Yang   +7 more
wiley   +1 more source