Abstract:
The detecting means (1) comprise measuring means (2) adapted to measure and provide at least one raw data corresponding to an aircraft parameter, computing means (3) adapted to estimate at least one derivative of said raw data, and detecting means (4) adapted to detect a failure with the aid of said derivative, said computing means (3) being adapted to estimate said derivative by differentiation.
Abstract:
A system for detecting jamming and/or uncontrolled movement of an aircraft control surface includes first means for estimating the value of at least one parameter of an equation simulating the feedback loop dynamic of the control surface, according to a recursive autoregressive method with exogenous variable of RARX type in a recursive least squares way, and second means for detecting jamming and/or uncontrolled movement of the control surface, according to the estimated parameter value by the application of a decision test in the parametric space.
Abstract:
A device for generating a signal, including: a balun; and a circuit capable of summing up, on a first access terminal of the balun, currents representative of signals received on first input terminals of the device, and on a second access terminal of the balun, currents representative of signals received on second input terminals of the device.
Abstract:
An amplifier including a first amplification stage unit that includes a first transistor configured to modulate a first transistor threshold voltage using a first control voltage on a body of the first transistor, and a first direct current permitting feedback loop electrically coupling a drain of the first transistor with a gate of the first transistor. The amplifier may include a second amplification stage unit that includes a second transistor configured to modulate a second transistor threshold voltage using a second control voltage on a body of the second transistor, and a second direct current permitting feedback loop electrically coupling a drain of the second transistor with a gate of the second transistor.
Abstract:
In various embodiments, a frequency dividing circuit is provided. The frequency dividing circuit may include a first circuit including an m-bit multiplexer configured to receive a positive binary word and a negative binary word as inputs. The frequency dividing circuit may receive a controlled oscillator output signal and a complement of the controlled oscillator output signal, generate a frequency dividing circuit output signal from the controlled oscillator output signal and the complement of the controlled oscillator output signal using the positive binary word and the negative binary word. A ratio of the frequency dividing circuit output signal frequency to the controlled oscillator output signal frequency is a decimal value greater than zero and less than one and is determined using a ratio of a value of the positive binary word to a sum of the value of the positive binary word and an absolute value of the negative binary word.
Abstract:
An adhesive composition comprises a silylated polymer (A) comprising a group of formula (I) and a catalyst (B) of formula (V). In formula (I): —Si(R4)p(OR5)3-p, each R4 independently represents a linear or branched alkyl radical comprising from 1 to 4 carbon atoms; each R5 independently represents a linear or branched alkyl radical comprising from 1 to 10 carbon atoms and optionally comprising one or more heteroatoms chosen from oxygen and nitrogen, or two OR5 groups are involved in the same ring comprising from 2 to 8 carbon atoms; p is an integer equal to 0, 1 or 2. In formula (V): B(OH)R′R″, R′ represents a substituted or unsubstituted aryl group; and R″ is chosen from an OH group and a substituted or unsubstituted aryl group.
Abstract:
The invention relates to a copolymer comprising units derived from monomers of vinylidene fluoride and/or trifluoroethylene, as well as fluorinated monomers X comprising a double bond and a leaving group selected from among chlorine, bromine and iodine atoms, the leaving groups being partially replaced by azide groups in the copolymer.
Abstract:
The present invention relates to a fusion peptide having one of the following formulae: P1-L-P2 (I) or P2-L-P1 (II) wherein P1 is chosen from the proline-rich antimicrobial peptides; Lisa peptide linker; and P2 has the following formula (III): wherein m is 0 or 1; n is an integer comprised between 0 and 9; p is an integer comprised between 0 and 10; r is 0, 1 or 2; s is 0 or 1; Gln is glutamine; R1 is the side chain of arginine or lysine; R2 is for example a —(CH2)—C3-6-cycloalkyl group optionally substituted; R3 is for example a C1-8-alkyl group; R4 is in particular a C1-8-alkyl group optionally substituted by a C3-6-cycloalkyl group; R5 is for example a —(CH2)—C3-6-cycloalkyl group; R6 is in particular —COOH, wherein, when the fusion peptide has the formula (II), its C-terminus contains a —CO— group engaged in a peptide bond with said linker.
Abstract:
The present invention concerns a block copolymer having at least one oligo- or polysaccharide block and at least one elastin-like polypeptide block, wherein said block copolymer comprises at least one repetitive unit having the following formula (I):
wherein R′ is the side chain of a natural or synthetic amino acid other than proline and derivatives thereof.
Abstract:
A method for determining a stereotactic brain target includes at least one target point, the method comprising the following steps: selecting patients for whom the result measured following treatment at at least one target point is greater than or equal to a threshold, postoperative imaging having been performed for each of the patients; processing the postoperative imaging so as to determine coordinates of the at least one target point; selecting brain marker points; processing the postoperative imaging so as to determine coordinates of the marker points; creating a learning database comprising the coordinates of the target points and the coordinates of the marker points determined for all of the selected patients; determining a prediction function giving the coordinates of at least one target point according to the coordinates of the marker points by using the learning database and a supervised statistical learning method; processing preoperative imaging of a new patient to be treated so as to determine coordinates of the marker points of the new patient; using the prediction function so as to obtain the coordinates of at least one target point for the new patient according to the coordinates of the marker points determined for the new patient.