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公开(公告)号：US20240363202A1
公开(公告)日：2024-10-31
申请号：US18645105
申请日：2024-04-24
申请人： True Elements, Inc.
摘要： Systems, methods, and non-transitory computer-readable media for fate and transport analysis, and more specifically to determining how contaminants change as they move through the environment. Systems can receive chemical contamination data associated with a geographic area, then identify, by executing at least one chemical detection machine learning model using the chemical contamination data, chemical contaminants within the geographic area. The systems can then predict, by executing at least one chemical dispersion machine learning model using at the chemical contaminants, a chemical-specific dispersion of the chemical contaminants within the geographic area. Based on that chemical-specific dispersion, the system can generate at least one assessment.
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2.发明公开公开(公告)号：US20240363201A1
公开(公告)日：2024-10-31
申请号：US18604072
申请日：2024-03-13
发明人： Moonjin LEE , Tae Sung KIM , Yong Myung KIM
摘要： Proposed is a system and method for simulations of marine pollution dispersion using a numerical tracer technique, wherein modeling is faster than conventional diffusion modeling methods by reducing computational volume and load and thereby a simulation of marine pollution dispersion with respect to the long-term continuous discharge may be performed through the numerical tracer technique by configuring to simulate the marine dispersion of suspended sediments (SS) and COD using the Quick Dispersion (Q-DISP) model, which is a diffusion model using the Monte Carlo method, in order to solve the problems of conventional marine pollution dispersion modeling systems and methods using numerical tracer techniques which have the disadvantage of requiring a high-performance computer and a large amount of memory due to the increased computation.
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公开(公告)号：US20240361224A1
公开(公告)日：2024-10-31
申请号：US18648343
申请日：2024-04-27
申请人： Chongqing University
发明人： Le HAN , Ting ZOU , Jian LIU , Lu ZHOU , Haoquan ZHANG , Jingmei YAO
CPC分类号： G01N15/08 , B01D65/109 , C02F1/46 , C02F1/4602 , G01N15/12 , G06F30/27 , G06N3/044 , G06N3/0464 , G06N3/08 , G06N20/00 , G16C20/70 , G01N2015/0853
摘要： The present application introduces a membrane fouling warning methodology grounded in machine learning. It utilizes a machine learning-based membrane fouling prediction model to automatically forecast and generate electrochemical information values, which characterize the extent of membrane fouling at various time points, based on influent water quality parameters. It then acquires the electrochemical information values Zt at a moment t and Zt+Δt at a moment t+Δt. Subsequently, it computes and assesses the respective fouling levels using the electrochemical information values derived from the membrane fouling prediction model. Finally, it issues an early warning signal contingent upon the determined warning level. This methodology facilitates proactive understanding and management of membrane fouling, thereby sustaining the normal operation of the membrane fouling treatment system, mitigating the propensity for membrane assembly fouling, and prolonging the operational lifespan of the membrane assembly.
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公开(公告)号：US12131893B1
公开(公告)日：2024-10-29
申请号：US18497574
申请日：2023-10-30
发明人： Ruizhi Zhu , Xiaoxi Si , Yanqun Xu , Zhihua Liu , Ji Yang , Wei Jiang , Chunbo Liu , Fengmei Zhang , Zhenjie Li , Shiyun Tang
CPC分类号： H01J49/0036 , G01N1/10 , G01N30/8631 , G01N30/8679 , H01J49/425 , G01N2001/1006 , G01N2030/027 , G16C20/20 , G16C20/30
摘要： A method of identifying tobacco carbonyl components using non-targeted mass spectrometry is disclosed, which includes the following steps: (1) preparing a tobacco sample extract; (2) derivatizing (part of) the sample/extract with 2,4-dinitrophenylhydrazine (DNPH); (3) derivatizing (another part of) the sample/extract with DNPH-d3; (4) mixing the derivatized tobacco samples; (5) preparing blank samples; (6) performing ultra performance liquid chromatography (UPLC) and ion trap (Orbitrap) high resolution mass spectrometry (HRMS) on the (derivatized) tobacco samples; (7) processing the LC-MS data; (8) filtering the mass spectrometric characteristic data to retain final chromatographic peaks; and (9) structurally annotating or identifying the retained final chromatographic peaks to obtain the tobacco carbonyl components. The method quickly removes noise or interfering components in the original data set by multiple filtering of the mass spectrometry characteristic data, and enables obtaining composition information of aldehyde and ketone chemical components in cigarettes.
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公开(公告)号：US12130295B2
公开(公告)日：2024-10-29
申请号：US17508309
申请日：2021-10-22
申请人： LipoScience, Inc.
IPC分类号： G01N33/92 , A61B5/00 , A61B5/055 , G01R33/465 , G16H10/40 , G16H50/30 , G16H50/50 , G16Z99/00 , G16B20/00 , G16C20/20
CPC分类号： G01N33/92 , A61B5/055 , A61B5/7275 , G01R33/465 , G16H10/40 , G16H50/30 , G16H50/50 , G16Z99/00 , G01N2800/32 , G16B20/00 , G16C20/20
摘要： Disclosed are methods and systems to determine a subject's metabolic vulnerability index (MVX) score using at least one defined mathematical model of risk. The methods comprise evaluating various biomarkers to distinguish various health risks. In one embodiment, the method comprises evaluating biomarkers to determine a relative risk of premature all-cause mortality. The model may include NMR-derived measurements of GlycA, S-HDLP, branched chain amino acids (BCAAs), ketone bodies, total serum protein, and citrate in at least one biosample of the subject.
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公开(公告)号：US12130260B2
公开(公告)日：2024-10-29
申请号：US17602242
申请日：2020-04-07
CPC分类号： G01N29/12 , G01N29/4472 , G16C60/00 , G01N2291/0232
摘要： Structure information for a substance within a volume may be obtained. The structure information may characterize structural non-linearity of the substance within the volume. A structure model for the substance within the volume may be generated based on the structure information and/or other information. The structure model may simulate one or more characteristics of the substance within the volume. Presentation of information on the characteristic(s) of the substance within the volume may be effectuated based on the structure model and/or other information.
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7.发明公开公开(公告)号：US20240355430A1
公开(公告)日：2024-10-24
申请号：US18685729
申请日：2022-04-11
申请人： MEDIRITA
发明人： Young-Woo PAE , Seung-Hyun JIN
摘要： Provided is a method for predicting pharmacological effects of a new drug candidate substance performed by a computing device, wherein the method may include receiving information on a new drug candidate substance, selecting a structural similarity type, which is a reference for determining the similarity between substances, preparing pharmacological effect prediction models corresponding to the selected structural similarity type from among a plurality of pharmacological effect prediction models created by structural similarity type and pharmacological class, and predicting whether the new drug candidate substance will have a pharmacological class corresponding to each of the pharmacological effect prediction models based on an output value obtained by inputting information on the new drug candidate substance into each of the prepared pharmacological effect prediction models.
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8.发明公开公开(公告)号：US20240347144A1
公开(公告)日：2024-10-17
申请号：US18631100
申请日：2024-04-10
摘要： The present invention relates to a system and method for replacing specific solvents and ingredients used in industrial processes with eutectic solvents and mixtures that meet specific characteristics using artificial intelligence. The system is trained and continually updated using experimental formation results obtained in laboratories. The platform is capable of determining whether a completely new system can be formed and predicting some of its physical characteristics. The system is designed to be applied to industrial processes where specific solvents and ingredients are used, and it identifies eutectic solvents that meet or exceed the required characteristics to replace the specific solvent/ingredient. Unlike one process-based approaches, this method does not apply to a specific process, but rather to processes where the specific solvent/ingredient being replaced is used. This present invention provides an effective approach for reducing the use of specific solvents and promoting the use of environmentally-friendly eutectic solvents in industrial processes using artificial intelligence.
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9.发明公开公开(公告)号：US20240345025A1
公开(公告)日：2024-10-17
申请号：US18750532
申请日：2024-06-21
发明人： Rachel MULLEN , Clare RYAN , Seamus O'CONNOR , Stacey HELMING
IPC分类号： G01N27/447 , G01N30/02 , G01N30/72 , G01N30/86 , G16C20/20
CPC分类号： G01N27/44795 , G01N30/72 , G01N30/8624 , G16C20/20 , G01N2030/027
摘要： The disclosure relates to methods of characterizing ampholyte compositions suitable for downstream applications such as capillary isoelectric focusing using liquid-chromatography-mass spectrometry.
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公开(公告)号：US20240344964A1
公开(公告)日：2024-10-17
申请号：US18641039
申请日：2024-04-19
发明人： Joseph T. Trotter , Keegan Owsley , Jonathan Lin
IPC分类号： G01N15/14 , B07C5/342 , B07C5/36 , G01N15/1434 , G01N15/149 , G06V10/70 , G06V20/69 , G16C20/20
CPC分类号： G01N15/1459 , B07C5/3425 , B07C5/361 , G01N15/1425 , G01N15/1434 , G06V10/87 , G06V20/695 , G06V20/698 , G16C20/20 , G01N15/149
摘要： A cell sorting system that automatically generates a sorting strategy based on examples of target events provided by an operator. The target events can be selected using measurements ranging from traditional flow cytometry measurements to derived measurements that are computationally expensive to complex measurements such as images.
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