Plasseraud IP

A sealing block configured to seal a lead film covering a lead metal and a pouch covering the lead film. The sealing block includes a first sealing surface extending in a length direction and is configured to apply pressure in a height direction perpendicular to the length direction. The first sealing surface includes a center sealing surface extending in the length direction; and a side sealing surface located at each end of the center sealing surface in the length direction. The side sealing surface is stepped in the height direction with respect to the center sealing surface, and the side sealing surface has a sealing protrusion that protrudes in the height direction to a predetermined distance from the side sealing surface.

La présente invention concerne un dispositif de chargement et de déchargement d'un objet, pour véhicule ayant un espace de chargement s'étendant jusqu'à une ouverture arrière, ce dispositif de chargement et de déchargement comprenant une flèche (26) supportée par un mât (27) monté sur un châssis (28) de base, ce mât (27) définissant un axe principal. Selon l'invention, - la flèche (26) formée d'un unique bras rigide, est montée pivotante autour de cet axe principal et est également mobile en rotation autour d'un axe de rotation, qui est perpendiculaire à cet axe principal de sorte que l'extrémité libre de la flèche (26) est apte à se déplacer en rotation entre une élévation supérieure et une élévation inférieure placées hors du véhicule, le châssis (28) de base étant positionné sur la surface inférieure de l'espace de chargement, - ledit dispositif de chargement et de déchargement comprenant un unique câble (20) assurant à la fois l'étayage de la flèche (26) et le levage d'un objet, cet unique câble (20) passant par un chemin de câble comprenant une pluralité de poulies (36), cet unique câble comportant à son extrémité libre, une butée, pour venir en arrêt contre l'extrémité libre de la flèche (26) en vue d'assurer l'étayage de la flèche (26) lorsque l'unique câble (20) est sous tension, et - ledit dispositif de chargement et déchargement comprend une unique unité de motorisation (37) montée sur ledit mât (27), ou sur un support de ladite flèche (26), pour entraîner ledit câble (20) en déplacement et l'étayage de la flèche (26).

The present document involves a computer-implemented method for pairing anatomical entities of at least one patient on medical images, the method comprising:- obtaining (S1) at least a first medical image and a second medical image of an anatomical region of said patient, andfor each medical image:o segmenting (S2) at least one anatomical reference entity of said medical image to generate a first segmentation map,o segmenting (S3) at least one anatomical target entity of said medical image to generate a second segmentation map,o computing (S4) a feature tensor respectively based on the first and second segmentation maps,- computing (S5) a similarity matrix between the feature tensor of said first medical image and the feature tensor of said second medical image,- characterizing (S6) the correspondence between anatomical entities of said first and second medical images, based on the similarity matrix.

A roof assembly (30, 30', 30") for a railway vehicle comprising a roof member (32, 33), acroteria (32a, 32b; 32a', 32b', 32a", 32b") and connecting elements (34a, 34b; 34a', 34b'; 34a", 34b") arranged to support both the roof member (32, 33) and the acroteria (32a, 32b; 32a', 32b', 32a", 32b"), each connecting element (34a, 34b; 34a', 34b'; 34a", 34b") being a single component, the roof assembly (30, 30', 30") further comprising a base platform (38) and each connecting element (34a, 34b; 34a', 34b'; 34a", 34b") being arranged to be fixed to a respective supporting part (38a, 38a') which represents a side end portion of said base platform (38).

The doorway assembly (5) comprises at least one mobile opening element (25) between an open position (30) and a close position (35). The doorway assembly (5) further comprises a manual opening system (40) and an electrical opening system (45). The doorway assembly (5) comprises a monitoring system (75) of the opening element. The monitoring system (75) comprises a recording module (80) configured to count the number (100) of electrical actuations (85) of the electrical opening system (45) and the number (105) of manual actuations (90) of the manual opening system (40) over a given period. The monitoring system (75) further comprises a comparison module (95) configured to compare the two numbers (100) and (105) over the given period.

Methods of reproducibly determining a beam size parameter of a laser beam utilizing a calibration standard and additive manufacturing systems that perform the methods. The calibration standard includes a calibration body that includes an aperture and defines a plurality of distinct aperture dimensions. Each distinct aperture dimension is measured along a corresponding dimension vector. The method includes, for each distinct aperture dimension, scanning the laser beam across the calibration body and along the corresponding dimension vector and, during the scanning, measuring a resultant energy of the laser beam as a function of position along the corresponding dimension vector. The method also includes generating an energy-dimension correlation between a characteristic of the resultant energy of the laser beam for each distinct aperture dimension and the distinct aperture dimension. The method further includes determining the beam size parameter based, at least in part, on the energy-dimension correlation.

The flexible 2D bag (2) for distributing a biopharmaceutical product (F) can be assembled from two film pieces, by forming a peripheral seam with the film peripheral edges joined, thereby defining a longitudinal axis (A1) and an interior volume (V) between a seam bottom portion (2a) and a seam top portion (2b). Port(s) integrated through the seam bottom portion (2a) allow distribution of the product outside the containing part via respective lower outlets, for a sterile filling of several final containers (FC) with gravity-assisted flow in conditions of use. When forming the peripheral seam, a port (30) is integrated through a side seam portion (4) to provide a fluid inlet (3) away from the seam bottom portion (2a) with a spacing (d3) of at least 30 mm along the axis (A1). Gas management ports (11, 12) for gas circulation, positioned away from the bottom portion can be present.

An outdoor cooling unit includes a condenser heat exchanger configured to pass a refrigerant in a refrigeration circuit, at least one economizer heat exchanger configured to pass a cooling fluid in a load-cooling circuit, and a controller configured to receive an input signal indicating an ambient temperature and send an output signal to rotate the at least one economizer heat exchanger in response to receiving the input signal.

A method (500) for conditional predictive maintenance in aircraft systems (100) using machine learning-based surrogate models (210) is disclosed. The described method (500) addresses the challenge of accurately detecting anomalies and predicting maintenance needs amidst complex operational and environmental variables. The method (500) involves receiving operational data from aircraft sensors (102), aircraft devices (104), and/or a memory (212), training a surrogate model (210) to predict aircraft device operations, and predicting operational outputs. Deviations (406) between predicted and actual outputs (400, 402) are analyzed to identify potential anomalies, distinguishing between noise and actual faults. This approach enables real-time monitoring and proactive maintenance scheduling, reducing reliance on scheduled inspections and enhancing aircraft reliability. The system (100) is adaptable to various environmental conditions and operational modes, ensuring consistent performance across different flight profiles. This method (500) is particularly useful for improving the efficiency and accuracy of aircraft maintenance operations.

A predictive maintenance system and method for predictive maintenance of an aircraft system using machine learning-based models includes accessing privately stored data for a plurality of clients from a central server. A surrogate model can be applied to the privately stored data to identify one or more anomalies within the privately stored data and/or a large language model (LLM) can be applied to the privately stored data to identify one or more records within the privately stored data associated with a component of an aircraft system. The method includes determining a relationship between the one or more anomalies and the one or more records within the privately stored data to predict operational anomalies of the aircraft system.