查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingoriginating from Nanjing Universi ty by NewsRx correspondents, research stated, “The association betweenthe magne tic properties of lake sediments and heavy metal(loid)s (HMs) is well-documented ; however,their correlation with the chemical fractions of HMs remains under-in vestigated.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Artificial Intelligence is now available. According to news reportingoriginating in Selangor, Malaysia , by NewsRx journalists, research stated, “The water quality of thewastewater t reatment plant is generally observed by carrying out water quality testing and b y visualobservation by the wastewater engineer. However, to get the lab testing result is very time consuming andproper treatment cannot be implemented on tim e to treat the wastewater.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Sydney, Australia, by NewsRx editors, research stated, “Prevalence of suicidal behaviourincreases rap idly in middle to late adolescence. Predicting suicide attempts across different ages wouldenhance our understanding of how suicidal behaviour manifests in thi s period of rapid development.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cardiovascular Disease s and Conditions - Abdominal Aortic Aneurysmis the subject of a report. Accordi ng to news reporting originating in Groningen, Netherlands, by NewsRxjournalist s, research stated, “Challenging infrarenal aortic neck characteristics have bee n associated withan increased risk of type Ia endoleak after endovascular aneur ysm repair (EVAR). Short apposition (<10mm circumferentia l shortest apposition length [SAL]) on the first post-operative computed tomographyangiography (CTA) has been associated with type Ia endoleak.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews reporting out of Jiangsu , People’s Republic of China, by NewsRx editors, research stated, “The leafarea -to-fruit ratio (LAFR) is an important factor affecting fruit quality. Previous studies on LAFR haveprovided some recommendations for optimal values.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to news reportingfrom Prairie View, Texas, by NewsRx journalists, research stated, “The United States is predicted to experience an annual decline in milk production due to heat stress of 1.4 and 1.9 kg/da y by the 2050s and 2080s,with economic losses of USD 1.7 billion and USD 2.2 bi llion, respectively, despite current cooling effortsimplemented by the dairy in dustry.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Transfusion Medicine - Blood Transfusion is the subject of a report.According to news reporting out o f Sichuan, People’s Republic of China, by NewsRx editors, researchstated, “The safety and efficacy of single-port and multi-port robot-assisted partial nephrec tomy (SPRAPNand MP-RAPN, respectively) were assessed for treating partial neph rectomy in this study. Asystematic review of PubMed, Cochrane Library, and Web of Science databases was conducted up to June2024 to compare studies on SP-RAPN and MP-RAPN.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news originating fromTehran, Iran, by NewsRx co rrespondents, research stated, “In the present study, the seismic behavior of hunchbacked block-type gravity quay walls rested on non-liquefiable dense seabed s oil layer is investigated,and the optimal geometries for these wall types are p roposed by performing non-linear time history dynamicanalyses using Lagrangian explicit finite difference method. For this purpose, first, a reference numerical model of the hunchbacked quay wall is developed, and its seismic response is v alidated against thewell-documented physical model tests.”
查看更多>>摘要：“Ⅰ. Cross-Reference to Related Applications“This application claims priority to U.S. Provisional Patent Application Ser. No . 63/443,379, filedFeb. 4, 2023, the entirety of which is incorporated by refer ence as if fully disclosed herein.“Ⅱ. Field of the Invention“The present invention relates generally to using augmented intelligence to anal yze urinary samplescollected from patients for clinical diagnosis.“Ⅲ. General Background“Microscopic examination of the urinary sediment is a tool of proven clinical ut ility. However, it requirestraining and expertise for proper identification of urinary casts. Incorrect cast identification my lead toflawed clinical decision making. Current limitations of urine sediment analysis include accessibility because specialized analysis may be available only at academic and research center s; time-consumption anddelays because of processing, analysis, findings, and va lidation from specialists increase current workflowtime and diagnosis requires timely decisions to be clinically relevant; sample processing requires specialized processing techniques and microscope settings are required correctly analyze samples; results can beinterpreted incorrectly or incompletely because commerci ally available automated urine analyzers failto identifying casts or acanthocyt es. Accordingly, what is needed is a machine learning approach forautomated rea l-time identification of urinary sediments.”
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“A machine learning model may not perform as well during de ployment in production as it did whenvalidating it offline. This can be because the distribution of data that a machine learning model is exposedto can change over time, commonly referred to as data drift or feature drift. The drift can b e gradual orcan happen overnight and cause the model’s performance or output to change. Tracking changes in dataand understanding how these changes affect mod el performance is critical to understanding if a machinelearning model is worki ng appropriately.”
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