Calcium Channel α<sub>2</sub>δ Ligands Mirogabalin, Pregabalin, and Gabapentin: Advancements in Diabetic Peripheral Neuropathic Pain Therapeutics. [PDF]
Wu Y, Guo X, Zhang J.
europepmc +1 more source
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song +3 more
wiley +1 more source
Efficacy and safety of topical vs. oral calcium channel blockers for chronic anal fissures: a systematic review and meta-analysis. [PDF]
Li T, Ye P, He X, Li C, Xi L, Xi Z.
europepmc +1 more source
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
Efficacy of Esaxerenone Plus a Renin-Angiotensin System Inhibitor or Calcium Channel Blocker for Nocturnal Hypertension: A Post Hoc Analysis. [PDF]
Kario K +5 more
europepmc +1 more source
A solid‐state ion exchange strategy constructs dentrimental Li2CO3 into a high‐modulus, high‐surface‐energy interface to enable dendrite‐free deposition of Li metal anode in the harsh carbonate‐based electrolyte. Abstract The practical application of lithium metal batteries (LMBs) in carbonate‐based electrolytes is hindered by uncontrolled lithium (Li)
Qiannan Zhao +5 more
wiley +1 more source
Biphasic effects on human atrial arrhythmogenicity of L-type calcium channel mutations associated with a Brugada/Short QT overlap syndrome - insights from a multiscale simulation study. [PDF]
Xiang Y, Hancox JC, Zhang H.
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Development of nifedipine isosteres: an integrated approach to the design, synthesis, and biological assessment of calcium channel blockers. [PDF]
Zohny YM, Awad SM, Alsaidan O, Rabie MA.
europepmc +1 more source
This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek +4 more
wiley +1 more source

