Results 131 to 140 of about 6,528 (227)

Noncompetitive Fluorescence Polarization Aptamer Assay for Detecting SARS-CoV‑2 Variants. [PDF]

ACS Omega
Yu-Ting C, Suzuki R, Fujioka Y, Ishida A, Imai A, Fukuyama M, Kasuya M, Ohba Y, Fukuhara T, Shigemura K, Hibara A, Maeki M, Tokeshi M.   +12 more
europepmc   +1 more source

The M40 fingerprint matcher

, 1975
openaire   +1 more source

Prevalence, predictors, barriers and facilitators of self-monitoring of blood glucose in patients with type 2 diabetes: A multicentre cross-sectional study. [PDF]

Malays Fam Physician
Ong MEH, Yong XG, Mahalinggam K, Tan YL, Ismail NA, Yusof MR, Ramachandran P, Lim HM.   +7 more
europepmc   +1 more source

Galanin Receptors in the Central Nervous System: Exploring Ligand Interactions, Signal Transduction, and Potential Clinical Implications. [PDF]

Molecules
Owczarek A, Blecharz-Klin K.
europepmc   +1 more source

Enhanced impact resistance of novel sustainable preplaced aggregate geopolymer concrete reinforced with steel mesh and 5D fibers. [PDF]

Sci Rep
Samadi M, Murali G, Wong LS, Kurpińska M, Abdelgader HS, Abdulkadir I, Lim NHAS, Avudaiappan S, Abdellatief M.   +8 more
europepmc   +1 more source

Challenging behaviors in children with autism spectrum disorders and quality of life in their parents: association between challenging behaviors and parental quality of life. [PDF]

Front Psychol
Yahya NH, Yang WW, Isa NA, Wan Ghazali WS, Kamal Nor N.   +4 more
europepmc   +1 more source

Distributions and Applications of Nitrogen- and Oxygen-Containing Compounds in the Saline Lacustrine Source Rocks of the Baoding-Raoyang Sag, Bohai Bay Basin, Eastern China. [PDF]

ACS Omega
Liu J, Li S, Li X.
europepmc   +1 more source

Factors associated with higher cardiovascular disease risk awareness among patients with cardiovascular risk factors in primary care. [PDF]

BMC Prim Care
Md Nawawi NZ, Kanoo LL, Ramli AS.
europepmc   +1 more source

The project's communications plan update M40

Updated version at M40 of the projects communications ...
openaire   +1 more source

Prediction of early age compressive strength of concrete using machine learning. [PDF]

Sci Rep
Palanisamy AK, Jegatheeswaran D, Ananth C, Bhogayata A, Juneja B, Buribay R, Mezgebe TT.   +6 more
europepmc   +1 more source