Human B-HCG (Total) ELISA Kit

Background and Aims Cognitive impairments are primary hallmarks symptoms of bipolar disorder (BD). Whether these deficits are markers of vulnerability or symptoms of the disease is still unclear. This study used a component-wise gradient (CGB) machine learning algorithm to identify cognitive measures that could accurately differentiate pediatric BD, unaffected offspring of BD parents, and healthy controls. Methods 59 healthy controls (HC; 11.19 +/- 3.15 yo; 30 girls), 119 children and adolescents with BD (13.31 +/- 3.02 yo, 52 girls) and 49 unaffected offspring of BD parents (UO; 9.36 +/- 3.18 yo; 22 girls) completed the CANTAB cognitive battery. Results CGB achieved accuracy of 73.2% and an AUROC of 0.785 in classifying individuals as either BD or non-BD on a dataset held out for validation for testing. The strongest cognitive predictors of BD were measures of processing speed and affective processing. Measures of cognition did not differentiate between UO and HC. Conclusions Alterations in processing speed and affective processing are markers of BD in pediatric populations. Longitudinal studies should determine whether UO with a cognitive profile similar to that of HC are at less or equal risk for mood disorders. Future studies should include relevant measures for BD such as verbal memory and genetic risk scores.

Central composite design (CCD) experiments were performed to investigate the effect of cement content, fine gangue rate and water reducer content on the rheological properties of fresh cemented coal gangue backfill (CGB) and the compressive strength of hardened slurry. The parameter of mixture proportion was optimized by Multi-criteria optimization analysis. The results show that the fresh CGB rheological property conforms to Bingham model, the yield stress of fresh slurry is influenced by the interaction of the three factors, and the plastic viscosity increases with cement content, fine gangue rate and water reducer content. The value of 28 days uniaxial compressive strength (UCS28) is proportional to cement content and water reducer content, while it is inversely proportional to fine gangue rate. The overall satisfaction of slurry rises significantly with the increase of water reducer content. However, it increases firstly and then decreases with the increase of cement content and fine gangue rate, and reaches a maximum at cement content of 210 kg/m(3) and fine gangue rate of 40%. The developed design method can provide scientific reference to reduce the accumulation of waste residues.