Results 51 to 60 of about 18,483 (234)
Biphoton compression in standard optical fiber: exact numerical calculation
Generation of two-photon wavepackets, produced by spontaneous parametric down conversion in crystals with linearly chirped quasi-phase matching grating, is analyzed.
A. Meda +11 more
core +1 more source
Diagnostic accuracy of urinary prostate protein glycosylation profiling in prostatitis diagnosis [PDF]
Introduction: Although prostatitis is a common male urinary tract infection, clinical diagnosis of prostatitis is difficult. The developmental mechanism of prostatitis is not yet unraveled which led to the elaboration of various biomarkers. As changes in
Decaestecker, Karel +8 more
core +2 more sources
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
EFFECTS OF CHRONIC RENAL FAILURE AND HEMODIALYSIS ON SERUM PSA, FREE PSA, FREE/TOTAL PSA RATIOS
Little is known of the impact of hemodialysis on serum total (tPSA) and free PSA (fPSA) levels. We prospectively studied the impact of hemodialysis with low-flux membranes on serum tPSA, fPSA and free/total PSA (f/tPSA) ratios.
G. Özer +4 more
doaj +2 more sources
Artificial neural network (ANN) velocity better identifies benign prostatic hyperplasia but not prostate cancer compared with PSA velocity [PDF]
Background To validate an artificial neural network (ANN) based on the combination of PSA velocity (PSAV) with a %free PSA-based ANN to enhance the discrimination between prostate cancer (PCa) and benign prostate hyperplasia (BPH).
Carsten Stephan +5 more
core +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar +3 more
wiley +1 more source
PSA – biomarker, mis on muutnud eesnäärmehaiguste kliinilist käsitlust [PDF]
Prostataspetsiifi line antigeen on enim kasutatav eesnäärmehaiguste marker kliinilises meditsiinis, mille tähtsus prostata biomarkerina avastati 1979. aastal. Oluline on teada, et PSA on eesnäärme-, mitte kasvajaspetsiifi line marker.
Ausmees, Kristo, Žarkovski, Mihhail
core +2 more sources
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou +10 more
wiley +1 more source
Abstract BACKGROUND Obesity is a major risk factor for cardiovascular disease, primarily due to its effects on lipid metabolism, oxidative stress, and inflammation. The aim of this study was to evaluate the effects of spirulina (SP) on cafeteria diet (CD)‐induced myocardial oxidative stress and inflammation using biochemical, histological, and in ...
Fatma Arrari +3 more
wiley +1 more source

