Results 141 to 150 of about 5,997 (204)
Earth's ecosystems are experiencing wide‐ranging impacts from global climate change, including increased average and extreme temperatures. These temperature shifts can drastically affect plant physiology, threatening the future of even common plant species. Here, we focus on photosynthetic function in a native Southern California shrub species.
Anna K. M. Bowen +8 more
wiley +1 more source
Polyphenolic Composition and Evaluation of Antioxidant Activity, Osmotic Fragility and Cytotoxic Effects of Raphiodon echinus (Nees & Mart.) Schauer. [PDF]
Duarte AE +12 more
europepmc +1 more source
Boron‐10 carriers and their applications in boron neutron capture therapy
Summary of different types of boron drugs. Abstract Boron neutron capture therapy (BNCT) has emerged as a promising therapeutic modality in cancer treatment, demonstrating the ability to selectively eliminate cancer cells through the 10B(n,α)7Li nuclear reaction with minimal side effects on normal tissues.
Dachao Tang +7 more
wiley +1 more source
Erythrocyte Fragility in Progressive Multiple Sclerosis. [PDF]
Jacob C +8 more
europepmc +1 more source
There is no specific therapeutic drug regimen for radiation esophagitis. In previous studies, radiation esophagitis was considered a self‐limiting disease; however, current clinical approaches are limited to symptomatic treatment, which yields unsatisfactory therapeutic outcomes.
Hao Zhang +7 more
wiley +1 more source
A Growing Dark Mass in a Patient With a History of Trauma
JEADV Clinical Practice, EarlyView.
Takahiro Hase +7 more
wiley +1 more source
A TETRA‐primer amplification refractory mutation system polymerase chain reaction (T‐ARMS‐PCR) method was developed for simultaneous detection of the L412F/V and G408V mutations. L412F/V mutants were created using the CRISPR/Cas tool and no fitness cost was observed.
Georgios Sofianos +3 more
wiley +1 more source
Lower efficacy of transfusion of red blood cells from donors with sickle cell trait. [PDF]
Dzieciatkowska M +17 more
europepmc +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source

