Results 131 to 140 of about 340,876 (247)

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

Learning curve in evaluation of graded progressive image-model teaching in echocardiography. [PDF]

BMC Med Educ
Guo X, Li Y, Zhou X, Lu C.
europepmc   +1 more source

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

Advanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won, Jeongwoo Lee, Hyunwook Kim, Joon Hak Oh   +3 more
wiley   +1 more source

Operative time, recurrence, and complications throughout the initial learning curve in transforaminal endoscopic lumbar discectomy. [PDF]

Acta Neurochir (Wien)
Poelman MD, Boeykens A, Harhangi BS, Schröder ML, Staartjes VE.   +4 more
europepmc   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

CUSUM Analysis as a Predictive Tool for the Learning Curve in Left Bundle Branch Area Pacing. [PDF]

J Clin Med
Tudorancea I, Haba MȘC, Placinta MC, Popa IP, Calistrat EG, Guila A, Crișu D, Onofrei V, Șerban DN, Șerban IL, Iliescu R, Costache Enache II.   +11 more
europepmc   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

The Fallacy of the “Learning Curve”

Foot & Ankle Orthopaedics
John T. Campbell MD, George B. Holmes MD, Christopher P. Chiodo MD, Thomas O. Clanton MD, Ellie Pinsker PhD, Stefan Rammelt MD, PhD, Robert A. Vander Griend MD, Charles L. Saltzman MD   +7 more
doaj   +1 more source

Learning Curve of Robotic Pancreaticoduodenectomy with Portal-Superior Mesenteric Vein Resection for Pancreatic Cancers. [PDF]

J Clin Med
Ku PY, Chen YJ, Lin HC, Chen YH, Huang SY.   +4 more
europepmc   +1 more source

Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications

Advanced Functional Materials, EarlyView.
Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa, Masaki Tsuji, Yoshihiro Furue, Yifan Geng, Satya P. Pati, Satoshi Hamasuna, Takeaki Yajima   +6 more
wiley   +1 more source