Results 101 to 110 of about 60,192 (299)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

MARKETING POLICIES THROUGH THE INTERNET: THE CASE OF SKIING CENTERS IN GREECE [PDF]

open access: yesBuletin ştiinţific: Universitatea din Piteşti. Seria Ştiinţe Economice, 2012
Lately, Internet constitutes a major tool for transactions in every aspect and supports innovative marketing policies. Broadband Internet has become “the key to success” for businesses, as it offers various advantages and benefits through Internet ...
Panagiotis LEFAKIS   +5 more
doaj  

Internet sales as a new mode of internationalization [PDF]

open access: yes, 2008
The way that organizations explore the Internet has been the focus of a substantial body of scientific studies and non-academic reflection. The main goal of this study is to analyze the potential of the internet as a mode of internationalization and the ...
Couto, João P.   +3 more
core  

Chitosan‐Carbon Dot Composite Materials Form a Leaf Surface Barrier to Mitigate the Enrichment and Invasion of Nanoplastics: From Leaf Interface to Systemic Response

open access: yesAdvanced Science, EarlyView.
Foliar spraying of CS‐CDs can form a film on the leaves of Brassica rapa, effectively reducing the enrichment and absorption of PS in the leaves, while increasing the biomass and nutrient content of the plants. In addition, CS‐CDs can also enrich the interfoliar microbial community and activate the plant's own defense metabolic pathways.
Beibei Zhao   +6 more
wiley   +1 more source

Balancing Stealth and Targetability: cCPP‐ and PEG‐Modified Liposomes for the Targeted Delivery of Anti‐HER2 Nanobodies

open access: yesAdvanced Science, EarlyView.
This study addresses the rapid renal clearance of anti‐HER2 nanobodies by developing specialized liposomal carriers. It details the formulation of dual modified liposomes, demonstrating how PEGylation preserves structural integrity and cell‐penetrating peptides enhance cellular interaction.
Giulia Pander   +14 more
wiley   +1 more source

Change of digital interaction of consumers and organizations

open access: yesУченые записки Российской академии предпринимательства, 2021
Communication channels on the Internet contribute to the functioning of the company in the market, by directing the interaction of the organization with all subjects of both external and internal environment.
A. A. Volokhov
doaj  

Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang   +11 more
wiley   +1 more source

Highly Stabilized Ni‐Rich Cathodes Enabled by Artificially Reversing Naturally‐Formed Interface

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The application of Ni‐rich cathode materials is obstructed by interfacial and structural instability. This work proposes a facile and cost‐effective Al‐based vapor‐phase surface reaction strategy on Ni‐rich cathode to maintain its structural integrity from near‐surface to bulk.
Jinjin Ma   +11 more
wiley   +1 more source

Hotel guests encouraged to shoot their own trustworthy videos [PDF]

open access: yes, 2009
Bruce Grant-Braham looks at the latest hospitality information technology ...
Grant-Braham, Bruce
core  

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

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