Results 241 to 250 of about 2,837,746 (331)
An improved chromosomal-scale genome assembly of the Tanaka's snailfish (Liparis tanakae). [PDF]
Chen Y, Jin Y, Su C, Zhang F, Shan X.
europepmc +1 more source
Engineering Strategies for 2D Layered Tin Halide Perovskite Field‐Effect Transistors
2D halide perovskites are promising candidates for field‐effect transistor (FET) applications due to their high stability and suppressed ion migration in the presence of bulky organic spacers. This review systematically summarizes the optimization engineering strategies of 2D perovskite FETs and future challenges, which provide guidance for developing ...
Shuanglong Wang+4 more
wiley +1 more source
A decade of Does: celebrating the 125th anniversary of MLA through an annual meeting conversation with past Janet Doe lecturers. [PDF]
Perry G, Tooey MJMJ.
europepmc +1 more source
Breaking the Capacity Limit for WO3 Anode‐Based Li‐Ion Batteries Using Photo‐Assisted Charging
This image illustrates a photo‐assisted rechargeable lithium‐ion battery. (a) shows the battery structure, where light enhances electron‐hole generation in the anode, boosting ion flow. (b) compares discharging performance, revealing over 60% higher capacity under light compared to dark conditions, showcasing the benefit of light‐assisted energy ...
Rabia Khatoon+7 more
wiley +1 more source
Information Needs of Public Health Nurses and the Role of the Library of Medical Science University
Noriko Taira, Kumi Mikuni
openalex +2 more sources
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+5 more
wiley +1 more source
Integrating PICO principles into generative artificial intelligence prompt engineering to enhance information retrieval for medical librarians. [PDF]
Robinson K, Bontekoe K, Muellenbach J.
europepmc +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
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+10 more
wiley +1 more source