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公开(公告)号:US20250043249A1
公开(公告)日:2025-02-06
申请号:US18924564
申请日:2024-10-23
Applicant: McMaster University
Inventor: Ponnambalam Ravi Selvaganapathy , Maedeh Khodamoradi
IPC: C12N5/071
Abstract: This disclosure relates to methods of fabricating self-assembled 3D cell sheets. In one embodiment, the cell sheets are formed by seeding cells to a monolayer density of at least 65% with a culture medium on to a substantially flat substrate having low surface energy and incubating cells on the substrate under time and temperature conditions to form a cell sheet.
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公开(公告)号:US20250041235A1
公开(公告)日:2025-02-06
申请号:US18286732
申请日:2022-04-13
Applicant: McMaster University
Inventor: Maikel Rheinstadter , Sebastian Himbert , Isabella Passos-Gastaldo , Hannah Krivic , Margaret Fahnestock
Abstract: Described herein is a functionalized biological membrane comprising an endogenous bilayer and one or more modifying protein molecules embedded therein or attached thereto. Also described herein is a method of preparing a functionalized biological membrane comprising one or more modifying protein molecules embedded therein or attached thereto, and methods of use and uses of said functionalized biological membranes.
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公开(公告)号:US20240425824A1
公开(公告)日:2024-12-26
申请号:US18751954
申请日:2024-06-24
Applicant: McMaster University
Inventor: Ponnambalam Ravi Selvaganapathy , Maedeh Khodamoradi
IPC: C12N5/071
Abstract: This disclosure relates to methods of fabricating self-assembled 3D cell sheets. In one embodiment, the cell sheets are formed by seeding cells to a monolayer density of at least 65% with a culture medium on to a substantially flat substrate having low surface energy and incubating cells on the substrate under time and temperature conditions to form a cell sheet.
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公开(公告)号:US20240416950A1
公开(公告)日:2024-12-19
申请号:US18335084
申请日:2023-06-14
Inventor: Yashar ZEIYNALI FARID , Hao YANG , Seyhan UCAR
Abstract: A system and method is provided for implementing computer-controlled systems (e.g., vehicle safety and traffic management systems) based on compliance rates. A vehicle system and method are provided that estimate compliance rates in real-time, and have the capability to dynamically modify the computer-controlled instructions generated by a computer-controlled system (e.g., vehicle safety and traffic management systems) in a manner that improves compliance, and in-turn improves overall system performance. For example, a vehicle includes sensors receiving data from a plurality of communicative connected vehicles. The received data is associated with a real-time monitoring of traffic conditions for the vehicle. The vehicle also includes a controller device estimating a compliance rate in real-time based on the received data. The controller device of the vehicle also controls an automated operation of the vehicle using a modified computer-controlled instruction based on the estimated compliance rate.
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公开(公告)号:US20240375145A1
公开(公告)日:2024-11-14
申请号:US18683578
申请日:2022-08-18
Applicant: McMaster University
Inventor: Tohid Didar , Leyla Soleymani , Shadman Khan
Abstract: This disclosure relates to methods of making omniphobic materials which are physically and chemically modified at their surface to create hierarchically structured materials with both nanoscale and microscale structures that provide the omniphobic properties. Uses thereof, including as flexible tubular structures that repel contaminants are also disclosed herein.
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公开(公告)号:US20240349001A1
公开(公告)日:2024-10-17
申请号:US18580344
申请日:2022-07-18
Applicant: MCMASTER UNIVERSITY
Inventor: Navid H. ZANDI , Awny M. EL-MOHANDES , Rong ZHENG
IPC: H04S7/00 , G06N3/0455
CPC classification number: H04S7/303 , G06N3/0455 , H04S2400/11 , H04S2400/15 , H04S2420/01 , H04S2420/03
Abstract: There is provided a system and method for determining individualized head related transfer functions (HRTF) for a user. The method including: receiving measurement data from the user, the measurement data generated by repeatedly emitting an audible reference sound at positions in space around the user and, during each emission, recording sounds received near each ear of the user, the measurement data including, for each emission, the recorded sounds and positional information of the emission; determining the individualized HRTF by updating a decoder of a trained generative artificial neural network model, the decoder receives the measurement data as input, the trained generative artificial neural network model including an encoder and the decoder, the generative artificial neural network model is trained using data gathered from a plurality of test subjects with known spectral representations and directions for associated HRTFs at different positions in space; and outputting the individualized HRTF.
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公开(公告)号:US20240331531A1
公开(公告)日:2024-10-03
申请号:US18141334
申请日:2023-04-28
Inventor: Yashar Zeiynali Farid , Hao Yang , Seyhan Ucar , Kentaro Oguchi
IPC: G08G1/01
CPC classification number: G08G1/0141 , G08G1/0112 , G08G1/0129 , G08G1/0133
Abstract: An example operation includes one or more of receiving traffic data uploaded from vehicles that are currently operating within a geographic area via a computer network, generating a plurality of macroscopic fundamental diagrams (MFDs) for a plurality of sub-areas within the geographic area, respectively, based on the received traffic data, identifying a sub-area among the plurality of sub-areas which is congested based on the plurality of MFDs, and transmitting routing instructions to the vehicles within the geographic area to divert the vehicles away from the sub-area.
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公开(公告)号:US20240317660A1
公开(公告)日:2024-09-26
申请号:US18572235
申请日:2022-06-23
Applicant: McMaster University
Inventor: Jakob Magolan , Xiong Zhang , Nicholas Jentsch , Mathew Piotrowski , Meghan Fragis , Jarrod Johnson , Lauren Irwin
IPC: C07C37/16
CPC classification number: C07C37/16
Abstract: The present application describes process for preparing an ortho-allylated hydroxy aryl compounds such as compounds of Formula (I) by reacting an allylic alcohol with a hydroxy aryl compound in the presence of aluminum compound selected from alumina and aluminum alkoxides and in a non-protic solvent wherein at least one carbon atom ortho to the hydroxy group in the hydroxy aryl compound is unsubstituted.
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公开(公告)号:US12078370B2
公开(公告)日:2024-09-03
申请号:US17301907
申请日:2021-04-19
Applicant: McMaster University
Inventor: James Scott Cotton , Kelton Friedrich , Vickram Lakhian , Saber Mohamed , Mohamed Yasser Abdelsalam , Jorge Chebeir , Jeff Girard
CPC classification number: F24F11/46 , F24D11/0207 , F24F5/0021 , F24F11/47 , F24F11/63 , G05B19/042 , F24D2200/11 , F24D2200/13 , F24D2200/32 , F24F2203/02 , G05B2219/2614 , G05B2219/2639 , H02J3/381 , H02J2203/20 , H02J2310/12 , H02J2310/48
Abstract: A district energy system includes at least one energy provisioning unit, an energy management controller; a thermal distribution network coupled to the energy provisioning units and to a plurality of coupling interfaces connectable to the associated HVAC system of buildings within a district, and an electrical distribution network coupled to the energy provisioning units and to the coupling interfaces. The coupling interfaces may include both heat pumps and heat exchangers at each building, to provide heating, cooling and enable harvesting of normally wasted thermal energy from the buildings for re-distribution. The controller can manage the selection and number of energy provisioning units (and their operational set points) coupled to the district thermal distribution network and the electrical distribution network to meet the thermal and electrical demands of the district while satisfying other operational goals such as the minimization of greenhouse gas emissions.
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公开(公告)号:US20240273386A1
公开(公告)日:2024-08-15
申请号:US18436182
申请日:2024-02-08
Applicant: McMaster University
Inventor: Mohammadreza Heydarian Firouz Aba , Thomas Edward Doyle , Reza Samavi
IPC: G06N5/04
CPC classification number: G06N5/04
Abstract: A system, method and computer program product for evaluating a multi-label classification machine learning model. A model labelled dataset is received from the model and includes a plurality of data elements each labelled with zero or more model predicted labels of q potential classes. A multi-label confusion matrix is defined to include q+1 rows with q rows for true labels and 1 row for no true label and q+1 columns with q columns for predicted labels and 1 column for no predicted label. The matrix is populated by comparing the model labelled dataset with a true labelled dataset. At least one performance metric is calculated from the populated multi-label confusion matrix.
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