The brake is maintained by measuring the airgap and remaining thickness of the rubberized lining material. This airgap check is made by inserting feeler gauges between the pressure plate and the magnebody. Read about this procedure here: -us/how-to-check-crane-brake-adjustments-on-demag-end-trucks-equipped-with-zb-motors/

Demag motors are typically built with bi-metallic temperature overload switches inside the windings. These switches will open when normal operating temperatures are exceeded. If the motor is overheating, further investigation and diagnosis is necessary. Read more about the steps to take to check the motor windings. -us/troubleshooting-3-phase-ac-motors-on-demag-hoists-trolleys-and-bridge-drives/


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In this work, we develop DeMAG (Deciphering Mutations in Actionable Genes), a specialized supervised classifier for the 59 ACMG SF genes. DeMAG achieves the best overall performance across VEPs when tested on variants with clinical annotations. Further, we evaluate DeMAG on variants in additional 257 clinically associated disease genes, that our model has not been trained on, and found that it has high predictive power, reaching 91% sensitivity and 85% specificity. We anticipate that as additional clinical data becomes available, more genes can benefit from the partners score feature and from DeMAG predictions in general. We share predictions and interpretations of all ~1.3 million missense variants in the 59 ACMG SF genes and ~4.3 million variants for 257 other clinically relevant genes as a web application (demag.org) and provide our software and data for download (git.mpi-cbg.de/tothpetroczylab/demag/).

In conclusion, we anticipate that our tool and the web server (demag.org) will facilitate variant assessment and clinical decision-making. Moreover, the newly developed features can be applied to other genotype-phenotype predictors and be generalized to other genes and organisms.

Despite the increasing use of genomic sequencing in clinical practice, the interpretation of rare genetic variants remains challenging even in well-studied disease genes, resulting in many patients with Variants of Uncertain Significance (VUSs). Computational Variant Effect Predictors (VEPs) provide valuable evidence in variant assessment, but they are prone to misclassifying benign variants, contributing to false positives. Here, we develop Deciphering Mutations in Actionable Genes (DeMAG), a supervised classifier for missense variants trained using extensive diagnostic data available in 59 actionable disease genes (American College of Medical Genetics and Genomics Secondary Findings v2.0, ACMG SF v2.0). DeMAG improves performance over existing VEPs by reaching balanced specificity (82%) and sensitivity (94%) on clinical data, and includes a novel epistatic feature, the 'partners score', which leverages evolutionary and structural partnerships of residues. The 'partners score' provides a general framework for modeling epistatic interactions, integrating both clinical and functional information. We provide our tool and predictions for all missense variants in 316 clinically actionable disease genes (demag.org) to facilitate the interpretation of variants and improve clinical decision-making.

I need to calculate the shortest Tdemag (time when the UCC28704 will sample the Vs pin after turn-off of MOSFET), refer datasheet Fig 14. Of course, in an existing simple DCM flyback with known components, this can be easily calculated once we know the minimum MOSFET current at turn-off, which can be calculated from the minimum turn-off voltage at the CS pin, and value of resistor Rcs. Datasheet Table 6.5 states that minimum CS turn-off voltage is 170mV. However, what I do not understand at this time is how the resistor RLC modulates this turn-off voltage (refer Fig 24). Please advise how to calculate the minimum MOSFET turn-off current from the components of Figure 24, taking into account RLC 006ab0faaa

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