Abstract: Polyolefin (PO) compositions derived from post-consumer recyclate (PCR) PO based materials having well balanced properties with regards to electric conductivity, impact performance, stiffness, and workability.

Abstract: Mixed-plastics polypropylene blend including mainly polypropylene being benzene free with defined CIELAB color.

Abstract: The present invention relates to a polymer composition comprising the following components: A) 5 to 35 wt.-% based on the overall weight of the polymer composition of a recycled polyolefin fabric substrate; wherein said fabric substrate is coated with a polyolefin composition comprising the following components: a1) an ethylene based plastomer with a density determined according to ISO 1183-1 in the range of 0.857 to 0.915 g/cm3 and a MFR2 (190° C., 2.16 kg) determined according to ISO 1133 in the range of 0.5 to 30 g/10 min; and a2) a propylene based plastomer with a density determined according to ISO 1183-1 in the range of 0.850 to 0.910 g/cm3 and a MFR2 (230° C., 2.16 kg) determined according to ISO 1133 in the range of 0.01 to 30 g/10 min; B) 65 to 95 wt.

Abstract: The invention provides a process for the preparation of a multimodal high density polyethylene (HDPE) having a density of greater than 950 kg/m, a Mz of at least 1000 kDa and a melt flow rate (MFR5) of 0.01 to 4.0 g/10 min, said process comprising: (i) polymerising ethylene in a first polymerisation stage in the presence of a Ziegler-Natta catalyst to prepare a first ethylene homopolymer; (ii) polymerising ethylene in a second polymerisation stage in the presence of said catalyst and said first ethylene homopolymer to prepare an ethylene homopolymer mixture comprising said first ethylene homopolymer and a second ethylene homopolymer; and (iii) polymerising ethylene and at least one alpha-olefin comonomer in a third polymerisation stage in the presence of said catalyst and said ethylene homopolymer mixture to prepare said multimodal HDPE; wherein the split for the third polymerisation stage is at least 50%.

Abstract: Use of a compatibilizer (B) for upgrading a polypropylene-polyethylene blend (A) comprising (A-1) polypropylene and (A-2) polyethylene wherein the weight ratio of polypropylene (A-1) to polyethylene (A-2) is in the range from 19:1 to 1:19 with respect to at least one or more of the following properties (i) elongation at break (ISO 527-1,2; F3/4), (ii) Charpy notched impact strength (1eA) (non-instrumented, ISO 179-1 at +23° C.), (iii) Charpy notched impact strength (1eA) (non-instrumented, ISO 179-1 at 0° C.), (iv) Charpy notched impact strength (1eA) (non-instrumented, ISO 179-1 at ?20° C.), (v) puncture resistance (energy, IS07785-2 at +23° C.) and (vi) low temperature puncture resistance (energy, ISO 7765-2 at 0° C. or ?20° C.), wherein compatibilizer (B) is used in an amount of 1 to 35 wt.-% preferably 2 to 25 wt.-%, more preferably 3 to 9 wt.-% with respect to the final composition.

Abstract: A method and system for training a machine learning model for point of gaze prediction simultaneously analyzes the image of the scene and the image of the driver's face using the machine learning model to generate a point of gaze of a driver in traffic environments. The machine learning model comprises a camera calibration module that can compute an embedding vector that represents the spatial configuration between the driver and the camera system. The camera calibration module improves the overall model's performance, which is jointly trained end to end.

Abstract: A method and system for security assessment include a simulator configured to simulate a warping-based backdoor attack and an evaluation module configured to evaluate security and output a warning about a backdoor risk. The simulator, which comprises a warping unit and a backdoor model, is configured to generate a warping field, the warping unit is configured to receive the clean image and the warping field as inputs and output the warped backdoor image and the simulator is configured to train the backdoor model using the warped backdoor image.

Abstract: Multilayer film which comprises a core layer (C) and two outer layers (0-1, 0-2) sandwiching the core layer, wherein (i) the core layer (C) comprises 90 to 100% by weight of a first bimodal ethylene/1-butene/C6-C12-alpha-olefin terpolymer having a density between >925 kg/m3 and 970 kg/m3 with respect to the total weight of the layer, (ii) two outer layers (0-1) and (0-2) comprise (ii-1) the bimodal terpolymer as defined for the core layer (C) and (ii-2) a second bimodal ethylene/1-butene/C6-C12-alpha-olefin terpolymer having a density between >910 kg/m3 and <925 kg/m3.

Abstract: According to embodiments of the present invention, a method of additive manufacturing of an object using object material is provided. The method includes forming the object by processing some of the object material, and forming an object identifier by forming a pattern having at least one coded volume within an internal volume of the object, each of the at least one coded volume enclosing unprocessed object material. According to further embodiments of the present invention, an object manufactured using the method of additive manufacturing and a method of scanning an object identifier formed using the method of additive manufacturing are is also provided.

Abstract: A method for producing an ?-olefin oligomer, the method including subjecting ?-olefin to oligomerization reaction to produce an ?-olefin oligomer mixture, carrying out distillation separation of ?-olefin oligomer having less than n carbon atoms in the mixture to obtain a distillation residue containing ?-olefin oligomer having n or more carbon atoms, and then carrying out a step of removing high molecular weight molecules from the distillation residue.

Abstract: A process for increasing MFR2 of a polyethylene copolymer or an ethylene plastomer or elastomer comprising: (I) extruding a copolymer of polyethylene copolymer having a density of 910 to 970 kg/m3 and an MFR2 of 1 and 100 g/10 min or an ethylene plastomer or elastomer having a density of 855 to 910 kg/m3 and an MFR2 of 0.5 and 100 g/10 min in the presence of 0.1 to 2 wt % of a non-peroxide radical initiator so as to produce a polyethylene copolymer having an MFR2 of 200 g/10 min or more, or an ethylene plastomer or elastomer having a MFR2 of 200 g/10 min or more.

Abstract: The invention proposes a method of calculating aerodynamic derivatives for flight vehicle including the following steps: step 1: simulation and calculation of static aerodynamic coefficients for flight vehicle; step 2: simulate forced harmonic oscillation, specifically: create the harmonic oscillation profile by channels and determine the combined derivative according to the pitch, roll and yaw channels for at least 3 different frequencies; step 3: calculate the aerodynamic derivatives for each channel, specifically: establish a mathematical model describing the forced harmonic oscillations according to the channels, developing an optimal program to minimize the cost function and estimate parameters.

Abstract: A process for increasing MFR2 of a polyethylene copolymer or an ethylene plastomer or elastomer comprising: (I) extruding a copolymer of polyethylene copolymer having a density of 910 to 970 kg/m3 and an MFR2 of 1 and 100 g/10 min or an ethylene plastomer or elastomer having a density of 855 to 910 kg/m3 and an MFR2 of 0.5 and 100 g/10 min in the presence of 0.1 to 2 wt % of a non-peroxide radical initiator so as to produce a polyethylene copolymer having an MFR2 of 200 g/10 min or more, or an ethylene plastomer or elastomer having a MFR2 of 200 g/10 min or more.

Abstract: A method for producing an ?-olefin oligomer, the method including subjecting ?-olefin to oligomerization reaction to produce an ?-olefin oligomer mixture, carrying out distillation separation of ?-olefin oligomer having less than n carbon atoms in the mixture to obtain a distillation residue containing ?-olefin oligomer having n or more carbon atoms, and then carrying out a step of removing high molecular weight molecules from the distillation residue.

Abstract: A method of detecting a user input includes sensing one or more touch events at a device. In some embodiments, a method includes sensing a first touch event via a first housing of a device. The method also includes generating a first detection signal based on the first touch event. The method also includes sensing a second touch event via a second housing of the device, the second housing conductively isolated from the first housing. The method also includes generating a second detection signal based on the second touch event. The method also includes classifying, based on the first detection signal and the second detection signal, the first touch event as user input. The method also includes identifying one or more actions based on the classification of the first touch event as the user input, the one or more actions associated with the user input.

Abstract: A process for increasing MFR2 of a polyethylene copolymer or an ethylene plastomer or elastomer comprising: (I) extruding a copolymer of polyethylene copolymer having a density of 910 to 970 kg/m3 and an MFR2 of 1 and 100 g/10 min or an ethylene plastomer or elastomer having a density of 855 to 910 kg/m3 and an MFR2 of 0.5 and 100 g/10 min in the presence of 0.1 to 2 wt % of a non-peroxide radical initiator so as to produce a polyethylene copolymer having an MFR2 of 200 g/10 min or more, or an ethylene plastomer or elastomer having a MFR2 of 200 g/10 min or more.

Abstract: A method of detecting a user input includes sensing one or more touch events at a device. In some embodiments, a method includes sensing a first touch event via a first housing of a device. The method also includes generating a first detection signal based on the first touch event. The method also includes sensing a second touch event via a second housing of the device, the second housing conductively isolated from the first housing. The method also includes generating a second detection signal based on the second touch event. The method also includes classifying, based on the first detection signal and the second detection signal, the first touch event as user input. The method also includes identifying one or more actions based on the classification of the first touch event as the user input, the one or more actions associated with the user input.