Results 271 to 280 of about 651,073 (343)
Atypical development and swift resolution of an ulcerated hemangioma: a case report. [PDF]
Chakhunashvili K+2 more
europepmc +1 more source
Passively Ultra Cooling Patch Enabling High‐Efficiency Power‐Water Cogeneration
Photovoltaics are the most viable solar energy technology. This work introduces an ultra‐cooling patch (UCP) for passive thermal management of PV, achieving a 28% increase in power density and a water production rate of 2.2 L day−1. The enhancement results from the aligned channels and configurable heat transfer pathways of the UCP, which significantly
Zhengyi Mao+15 more
wiley +1 more source
Clinical analysis of 25 cases of infant umbilical granuloma treated with topical application of common salt granules. [PDF]
Bao J, Li H, Yu D, Jiang L, Hong Y.
europepmc +1 more source
Practical Considerations in the Design and Use of Non‐Crystalline Metal–Organic Frameworks
This review explores the emerging field of non‐crystalline MOFs ‐ amorphous, liquid, and glassy forms ‐ highlighting how they differ from traditional crystalline MOFs. It discusses their unique synthesis strategies, fundamental principles, and diverse applications.
Hamidreza Mahdavi+8 more
wiley +1 more source
Hailey-Hailey Disease: An Updated Review With a Focus on Therapeutic Mechanisms. [PDF]
Mathur M+4 more
europepmc +1 more source
Thermionics in Topological Materials
Thermionics is one of the fundamental energy conversion mechanisms in solid state systems. Recent development in topological materials opens new avenues in developing thermionic systems and devices. Due to the linear energy dispersion and topological protection of charge transport, these new materials are promising candidates for high efficiency ...
Sunchao Huang+8 more
wiley +1 more source
Treatment of Postinflammatory Hyperpigmentation Following Acne With Microneedling and Panax Ginseng-Derived Exosomes. [PDF]
Wan J+5 more
europepmc +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu+9 more
wiley +1 more source