Clinical Outcomes of Intra-Articular Ozone Injections in Hip Osteoarthritis: A Retrospective Study Comparing Different Injection Frequencies. [PDF]
Ozalp B, Pire A, Uyar M, Eyigor C.
europepmc +1 more source
The Effect of Lactic Acid in Association With Steam in Reducing Microorganisms in Soft Wheat
ABSTRACT Background and Objectives Within the food industry, steam is an effective method of microbial reduction for a variety of products. Previous studies have shown that tempering soft wheat with organic acids, as well as steam application, can potentially reduce wheat's microbial load with minor changes in the functional properties of the flour ...
Shpresa Musa +3 more
wiley +1 more source
Does PI-ME/CFS recall post-COVID (PASC) syndrome?
Salvatore Chirumbolo +2 more
doaj +1 more source
Alternative protocols for sanitizing hatching eggs and their effects on the microbiota of eggshell surface and chick yolk sac. [PDF]
Melo EF +7 more
europepmc +1 more source
This study proposed a structure‐designed benzohydrazide derivative, namely 4‐methoxybenzohydrazide (MeOBH), as an additive to regulate crystallization, passivate defects, optimize energy‐level structure, and enhance phase stability of β‐CsPbI3 perovskite films.
Haiyan Zhao +10 more
wiley +1 more source
Application of Gaseous Ozone to Enhance Quality and Microbiological Safety of Strawberries. [PDF]
Zardzewiały M +4 more
europepmc +1 more source
Carbon‐14 Perovskite Betavoltaics Reach Record 10.79% Efficiency
A perovskite‐based betavoltaic cell incorporating carbon‐14 nanoparticles and formamidinium lead iodide achieves a record energy conversion efficiency of 10.79%. The device design enhances charge generation through an electron avalanche multiplication mechanism.
Hong Soo Kim +6 more
wiley +1 more source
Ozonized Water-Mediated Maillard Reaction of Fructose-Glycine: Characterization and Antioxidant Properties. [PDF]
Panpipat W +6 more
europepmc +1 more source
Data‐Driven Design of Scalable Perovskite Film Fabrication via Machine Learning–Guided Processing
Considering complex process parameters and poor reproducibility in perovskite thin film fabrication, this study uses machine learning to analyze and predict high‐dimensional process variables. The Random Forest model, identified as the most effective, can effectively analyze and rapidly predict optimal process parameters from extensive data.
Hong Liu +9 more
wiley +1 more source

