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公开(公告)号：US20240384216A1
公开(公告)日：2024-11-21
申请号：US18622737
申请日：2024-03-29
Inventor： Bruce RITTMANN , Everett EUSTANCE , Yen-Jung LAI , Justin FLORY , Diana CALVO MARTINEZ , Tarun SHESH
Abstract: Disclosed herein are methods and systems for membrane carbonation for cultivating microalgas and other microorganisms that utilize a gaseous substrate, as well as to upgrade the quality of mixed-gas streams.
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公开(公告)号：US20240369738A1
公开(公告)日：2024-11-07
申请号：US18654918
申请日：2024-05-03
Inventor： Chao WANG , Yu YAO , Shinhyuk CHOI , Jiawei ZUO
IPC: G02B1/00 , G01J4/02 , G03F7/00 , G03F9/00 , H01L27/146
Abstract: A polarimetric metastructure is disclosed that includes a metasurface structure, one or more vertically coupled double-layer metallic gratings, and a dielectric spacer layer between the metasurface structure and the vertically coupled double-layer metallic gratings.
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23.发明公开公开(公告)号：US20240345142A1
公开(公告)日：2024-10-17
申请号：US18638531
申请日：2024-04-17
Inventor： Anamitra Pal , Behrouz Azimian , Lang Tong
IPC: G01R19/25
CPC classification number: G01R19/2513
Abstract: Time-synchronized state estimation for reconfigurable distribution systems is challenging because of limited real-time observability. A system addresses this challenge by formulating a deep learning (DL)-based approach for topology identification (TI) and unbalanced three-phase distribution system state estimation (DSSE). Two deep neural networks (DNNs) are trained for time-synchronized DNN-based TI and DSSE, respectively, for systems that are incompletely observed by synchrophasor measurement devices (SMDs) in real-time. A data-driven approach for judicious SMD placement to facilitate reliable TI and DSSE is also developed.
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公开(公告)号：US12117344B2
公开(公告)日：2024-10-15
申请号：US17743937
申请日：2022-05-13
Inventor： Yu Yao , Chao Wang , Chu Wang , Jing Bai , Ali Basiri , Xiahui Chen
CPC classification number: G01J4/04 , G02B5/3025
Abstract: A method of fabricating a polarization sensor is described. It includes a quarter-wave plate to convert circularly polarized light into linearly polarized light. The quarter-wave plate is realized as a metasurface. The sensor also includes a linear polarizer to analyze the light generated by the quarter wave plate, and a photodetector to receive the analyzed light. The sensor may be combined with other linear polarization sensors to form a sensor capable of complete measurement of the polarization state of incident light.
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公开(公告)号：US20240341168A1
公开(公告)日：2024-10-10
申请号：US18625825
申请日：2024-04-03
IPC: H10K85/30 , C07F15/00 , H10K50/11 , H10K101/10
CPC classification number: H10K85/346 , C07F15/0086 , H10K50/11 , H10K2101/10
Abstract: A series of novel tetradentate platinum (II) and palladium (II) complexes based on phenyl-pyrazole and pyridinyl-pyrazole and their analogues with bulky substituents have been designed. These complexes can function as emitters in organic electroluminescent devices.
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Patent Agency Ranking
公开(公告)号：US20240339200A1
公开(公告)日：2024-10-10
申请号：US18627831
申请日：2024-04-05
Inventor： DongAo Ma , Jiaxuan Pang , Jianming Liang
IPC: G16H30/40 , G06V10/764 , G16H30/20
CPC classification number: G16H30/40 , G06V10/764 , G16H30/20
Abstract: Exemplary systems include means for receiving medical image data at the system from a plurality of datasets provided via publicly available sources; evaluating the medical image data for the presence of expert notation embedded within the medical image data; determining the expert notations embedded within the medical image data are formatted using inconsistent and heterogeneous labeling across the plurality of datasets; generating an interim AI model by applying a task head classifier to learn the annotations of the expert notations embedded within the medical image data to generate an interim AI model; scaling the interim AI model having the learned annotations of the expert notations embedded therein to additional tasks by applying multi-task heads using cyclical pre-training of the interim AI model trained previously to generate task-specific AI models, with each respective task-specific AI model having differently configured task-specific learning objectives; training a pre-trained AI model specially configured for an application-specific target task by applying task re-visitation training forcing the pre-trained AI model being trained to re-visit all tasks in each round of training and forcing the pre-trained AI model being trained to re-use all accrued knowledge to improve learning by the pre-trained AI model being trained against the current application-specific target task for which the pre-trained AI model is being trained.
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公开(公告)号：US12102420B2
公开(公告)日：2024-10-01
申请号：US17277596
申请日：2019-09-27
Inventor： Yu Rong , Daniel W. Bliss
IPC: A61B5/024 , A61B5/00 , A61B5/05 , A61B5/0507 , G01S13/02 , G01S13/524 , G01S13/88
CPC classification number: A61B5/024 , A61B5/05 , A61B5/0507 , A61B5/7207 , G01S13/0209 , G01S13/524 , G01S13/88
Abstract: Methods, systems, and devices for direct radio frequency (RF) signal processing for heart rate (HR) monitoring using ultra-wide band (UWB) impulse radar are presented. A radar sensor is able to directly sample a received signal at RF which satisfies the Nyquist sampling rate, preserving a subject's vital sign information in the received signal. The vital sign information can be extracted directly from a raw RF signal and thus down conversion to a complex baseband is not required. The HR monitoring performance from the proposed direct RF signal processing technique provides an improvement in continuous HR monitoring as compared against existing methods using a complex baseband signal and/or other measurement techniques.
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公开(公告)号：US20240316366A1
公开(公告)日：2024-09-26
申请号：US18496330
申请日：2023-10-27
Inventor： William James TYLER
CPC classification number: A61N7/00 , A61B5/245 , A61B5/372 , A61B8/0816 , A61N2007/0026 , A61N2007/0078 , A61N2007/0091
Abstract: An ultrasound device for modulating brain activity may include a body and components for activating the brain. Such components include ultrasound transducers. The devices are used to provide ultrasound waves to brain structures in a subject wearing a device for methods to treat traumatic brain injury, affect postural control, affect wakefulness, attention, and alertness, to provide memory control, to alter cerebrovascular hemodynamics, to minimize stress, and to reinforce behavioral actions.
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公开(公告)号：US20240283090A1
公开(公告)日：2024-08-22
申请号：US18562479
申请日：2022-05-18
Inventor： Jerry Lin , Kishen Rafiz
IPC: H01M50/449 , H01M4/38 , H01M4/505 , H01M4/525 , H01M50/403 , H01M50/431 , H01M50/443 , H01M50/46 , H01M50/491 , H01M50/497
CPC classification number: H01M50/449 , H01M4/382 , H01M4/505 , H01M4/525 , H01M50/403 , H01M50/431 , H01M50/443 , H01M50/46 , H01M50/491 , H01M50/497
Abstract: A lithium-metal battery electrode-supported separator includes an electrically conductive substrate and a separator coated on the substrate. The separator includes plate-shaped zeolite particles, and the zeolite particles define intra-particle pores. A lithium-metal battery includes a first electrode, a separator coated on first electrode, a second electrode that includes lithium metal and is in direct contact with the separator, and an electrolyte in contact with the first electrode and the second electrode.
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公开(公告)号：US20240272159A1
公开(公告)日：2024-08-15
申请号：US18566986
申请日：2022-06-06
Applicant: Arizona Board of Regents on behalf of Arizona State University , American University of Beirut
Inventor： Jitendran Muthuswamy , Massoud Khraiche
IPC: G01N33/569 , G01N27/12 , G01N33/543
CPC classification number: G01N33/56983 , G01N27/12 , G01N33/5438 , G01N2333/165 , G01N2469/20
Abstract: The invention relates to a diagnostic platform for detection of biomarkers associated with a particular condition, disease, or disorder and methods of making and using the same. In various embodiments, the diagnostic platform includes a sensing device and an electronic reading platform. Aspects of the invention are directed to a diagnostic platform for detection of at least one biomarker in a fluid sample. In embodiments, the diagnostic platform comprises a sensing device configured to receive the fluid sample. The platform can further comprise an electronic reading platform and a computing device. The electronic reading platform can be configured to activate the sensor.
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