Results 171 to 180 of about 9,242,012 (330)

Response Bias in International Marketing Research. [PDF]

The saturation of domestic markets in the industrialized parts of the world, combined with increased competition in home markets from foreign competitors forces many companies to look for opportunities beyond their national boundaries.
Jong, M.G. de
core  

Ultrathin Amphipathic Dual‐Polymer Networks: Unlocking Hyper‐Permeable CO2 Capture via Solvent‐Mediated Poly(Ethylene Oxide) Amorphization

Advanced Functional Materials, EarlyView.
Hydrophilic PEO‐copolymers and hydrophobic PDMS are physically integrated via a compatibilizing solvent into an amphipathic dual‐polymer network with versatile interfacial affinity and completely amorphized PEO segments for hyper‐permeable CO2 transport.
Ji Wu, Fan Feng, Baiwang Zhao, Jordan Yuan Zhe Ng, Kaiyu Wang, Can Zeng Liang, Guangtai Zheng, Boxuan Zhao, Tai‐Shung Chung, Sui Zhang   +9 more
wiley   +1 more source

Electron‐Deficient Linkers Enhance H2O2 Electrosynthesis in Covalent Organic Frameworks

Advanced Functional Materials, EarlyView.
Linker π‐conjugation modulates the electronic state of the Ni–N4 centers and their interaction with the key *OOH intermediate while preserving the primary coordination motif. NiPc‐PTDA delivers an H2O2 selectivity of 92% and a production rate of 34.8 mol gcat−1 h−1, highlighting linker electronic properties as a molecular design parameter for NiPc ...
Houting Xie, Rui Guo, Zhen Liu, Yang Hu, Laichun Zhao, Omid Mazaheri, Bufeng Zhang, Shuaijun Pan   +7 more
wiley   +1 more source

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

Advanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto, Javier Zamudio‐García, Abraham Sánchez‐Caballero, David Marrero‐López, Vincenzo Esposito   +4 more
wiley   +1 more source

An Unsupervised Learning Approach to Evaluate Questionnaire Data—What One Can Learn from Violations of Measurement Invariance

Data Science Journal
In several branches of the social sciences and humanities, surveys based on standardized questionnaires are a prominent research tool. While there are a variety of ways to analyze the data, some standard procedures have become established.
Max Hahn-Klimroth, Paul W. Dierkes, Matthias W. Kleespies   +2 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Assessing the measurement invariance of Free Will and Determinism Plus scale across four languages: a registered report

Royal Society Open Science
Free will is assumed to be the core of an individual’s self-concept. Belief in free will has been studied extensively and was found to be correlated with many behavioural and psychological outcomes.
Siqi Duan, Chenghao Zhou, Qinglan Liu, Yixin Gong, Zenan Dou, Jingguang Li, Hu Chuan-Peng   +6 more
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source