Results 171 to 180 of about 394,506 (307)

Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties

Advanced Functional Materials, EarlyView.
Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon, Raúl López‐Martín, Verner Håkonsen, Nader Yaacoub, Francisco J. Terán, Alberto López Ortega, Jose A. De Toro, Gurvinder Singh   +7 more
wiley   +1 more source

Deep neural network approach integrated with reinforcement learning for forecasting exchange rates using time series data and influential factors. [PDF]

Sci Rep
Madhulatha TS, Ghori DMAS.
europepmc   +1 more source

Bio‐Orthogonally Crosslinked Supramolecular Polymer Bottlebrush Hydrogels for Long‐Term 3D Cell Culture

Advanced Functional Materials, EarlyView.
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi, David Pretzel, Peer Nölte, Kourosh Rezaei, Ulrich S. Schubert, Johannes C. Brendel   +5 more
wiley   +1 more source

How labor market institutions influence the relationship between exchange rate regimes and economic growth. [PDF]

PLoS One
Kuokštis V, Asali M, Spurga SA.
europepmc   +1 more source

Exposures and exposure hedging in exchange rate risk management [PDF]

Corporations are affected by increasing volatilities on foreign exchange markets. A response to this development was the creation of financial instruments, so called derivatives, in order to protect corporations from the effects of flexible exchange ...
Pohn-Weidinger, Johannes, Schäfer, Klaus   +1 more
core  

Tuning the Selectivity of the CO2 Reduction Reaction by Means of Synergistic Interactions in the Cu, Ag, Ce System

Advanced Functional Materials, EarlyView.
Multi‐metal Cu─Ce─Ag nanoparticles harness synergistic interactions to drive efficient electrochemical CO2 reduction reaction toward C2+ products at high current densities. Ag enhances CO production, Ce modulates Cu oxidation states, and together they boost *CO coverage and local pH to enhance C─C coupling, enabling record C2+ yields with suppressed ...
Nini Zhang, Muhammad Adib Abdillah Mahbub, Bashir Eid, Thomas Quast, Jian Zhang, Ridha Zerdoumi, Xin Wang, Sabine Seisel, Wangcheng Zhan, Wolfgang Schuhmann   +9 more
wiley   +1 more source

A matter of principle or a matter of money? How fairness evaluations change with experimental currencies. [PDF]

PLoS One
Chugunova M, Luhan WJ.
europepmc   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

Stabilization of Miscible Aqueous Phases via Diffusion‐Controlled Multifunctional Nanoparticle‐Ligand Complexation

Advanced Functional Materials, EarlyView.
This study presents a versatile approach to harnessing miscible aqueous domains, enabling liquid‐in‐liquid compartmentalization using a barrier formed in situ rather than bulk immiscibility. The barrier forms upon the complexation of multifunctional nanoparticles and ligands at the contact boundary of aqueous phases.
Seyyed Alireza Hashemi, Mahyar Panahi‐Sarmad, Ahmadreza Ghaffarkhah, Vahid Rad, Masoud Soroush, Thomas P. Russell, Orlando J. Rojas, Mohammad Arjmand   +7 more
wiley   +1 more source

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting. [PDF]

Front Artif Intell
Ogol BO, Omondi E, Olukuru J, Muriithi B, Senagi K.   +4 more
europepmc   +1 more source