Results 41 to 50 of about 901,587 (295)
Behavioral economics and the ‘new’ paternalism1
The paper provides a critical appraisal of the normative program of behavioral economics known as ‘new paternalism’. First, it explores the theoretical foundations of behavioral economics, describes major behavioral anomalies associated with bounded ...
Rostislav Kapeliushnikov
doaj +1 more source
From Pollution to Value: Electrochemical Systems for Transforming Flue Gas into Chemicals and Fuels
This review presents a comprehensive overview of the strategies whereby low‐concentration CO2 in flue gas can be directly valorized to value‐added chemicals and fuels. It covers recent progress in integrated CO2 capture and conversion, including amine and bi(carbonate) reduction‐based systems.
Meng Wang +7 more
wiley +1 more source
The Pathological Paradigm of Neuroeconomics
This paper focuses mainly on the neuroeconomics of reward-processing behaviors, which is also known as “neurocellular economics” (Ross, 2008). It aims to demonstrate that neuroeconomists are implicitly influenced by medical concerns.
Nicolas Vallois
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This review summarizes the recent advances in sodium‐ion battery electrolytes (including organic, aqueous, gel, ionic liquid, and solid‐state types) and their influence on the solid electrolyte interphase (SEI). It discusses SEI formation, aging, and optimization, as well as cases where no SEI forms, providing insights into the critical relationship ...
Meng Li +8 more
wiley +1 more source
Recent research on laser‐processed cermets and cemented carbides highlights significant advancements, yet a notable paucity of studies and persistent challenges remain. Efforts are increasingly focused on developing low‐cost, environmentally friendly cermets as alternatives to conventional materials.
Himanshu Singh Maurya +2 more
wiley +1 more source
Through economics to Noble goals [PDF]
The winner of the 2015 Nobel Prize in Economic Sciences, Angus Deaton, is the economist most famous for his work related to health, welfare and economic development.
Pantelić Svetlana
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Applications of QSPR and Machine Learning in Molecular Photonics
Quantitative structureproperty relationships (QSPR) and machine learning (ML) are transforming photochemistry by enabling pre‐synthetic screening of photoactive molecules. This review outlines advances in data‐driven discovery of optical materials and functional dyes, identifies effective descriptors and models for photophysical processes, and provides
Andrey A. Buglak +2 more
wiley +1 more source
Women with overweight or obesity follow intended isocaloric early and late time‐restricted eating (TRE) in a crossover trial. Shotgun plasma lipidomics reveals no significant differences between interventions, but identify pronounced lipid changes—including reductions in ceramides and phosphatidylcholines—within the early TRE.
Kristof Szekely +15 more
wiley +1 more source
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong +7 more
wiley +1 more source
Waste graphite anodes from spent lithium‐ion batteries serve as a sustainable lithium source for synthesizing lithium ethylene glycolate. This reactive species efficiently catalyzes PET depolymerization under mild conditions, achieving rapid and selective monomer recovery.
Yeping Xie +6 more
wiley +1 more source

