Results 261 to 270 of about 822,221 (394)

Cigarette brand loyalty among smokers in six European countries: Findings from the EUREST-PLUS ITC Europe Surveys. [PDF]

Tob Induc Dis, 2018
Nogueira SO, Tigova O, Castellano Y, Mons U, Kyriakos CN, McNeill A, Trofor AC, Zatoński WA, Zatoński WA, Przewoźniak K, Demjén T, Tountas Y, Quah ACK, Fong GT, Fu M, Vardavas CI, Fernández E, EUREST-PLUS consortium.   +17 more
europepmc   +1 more source

A Structural Model Analysis of Hotel Brand Personality Influencing Restaurant Loyalty Mediated through Restaurant Trust and Satisfaction

, 2011
김지은
openalex   +1 more source

The Effect of Customer Participation Behavior on Brand Loyalty via B2C Microblogging [PDF]

, 2013
Jong Pil Park
openalex   +1 more source

NanoMOF‐Based Multilevel Anti‐Counterfeiting by a Combination of Visible and Invisible Photoluminescence and Conductivity

Advanced Functional Materials, EarlyView.
This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner, Ruben Maile, Murat Cuvalli, Andreas Wolf, Ayisha Komal, Robert Oestreich, Christoph Janiak, Karl Mandel, Alexander Knebel, Klaus Müller‐Buschbaum   +9 more
wiley   +1 more source

Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems

Advanced Functional Materials, EarlyView.
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du, Junjie Yang, Ziyu Lv, Yongbiao Zhai, Zezhuang Yi, Yuhui Xie, Ming‐Lin Zheng, Xiangyu Ma, Guodong Gong, Yan Wang, Ye Zhou, Su‐Ting Han   +11 more
wiley   +1 more source

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

Advanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao, Niamh Mac Fhionnlaoich, Max Besenhard, Arun Pankajakshan, Federico Galvanin, Stefan Guldin   +5 more
wiley   +1 more source

A Study on Comparison between Korean · Chinese Consumers In the Relationship between Domestic Open Market Brand personality, Customer Satisfaction and Brand Loyalty

, 2011
김유경
openalex   +1 more source

Experimental and Theoretical Confirmation of Covalent Bonding in α‐Pu

Advanced Functional Materials, EarlyView.
From a combination of Reverse Monte Carlo dynamic rigid body fitting to the pair distribution functional and novel density functional approaches, the existence of covalent bonding is confirmed in α‐plutonium alongside other bonding types (i.e. mixed bonding schemes).
Alexander R. Muñoz, Matthew S. Cook, David C. Arellano, AM Milinda Abeykoon, Jeremy N. Mitchell, Sarah C. Hernandez, Eric D. Bauer, Christopher A. Mizzi, Boris Maiorov, Neil Harrison, W. Adam Phelan   +10 more
wiley   +1 more source

The Effect of Brand Satisfaction, Trust and Brand Commitment on Loyalty and Repurchase Intentions

, 2012
Aysel Erci̇ş, Sevtap Ünal, F. Burcu Candan, Hatice Yıldırım   +3 more
openalex   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source