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    Third People’s Hospital of Chengdu Reports Findings in Stroke (A CT-based machin e learning model for using clinical-radiomics to predict malignant cerebral edem a after stroke: a two-center study)

    97-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cerebrovascular Diseas es and Conditions - Stroke is the subject of a report. According to news reporti ng originating from Chengdu, People’s Republic of China, by NewsRx correspondent s, research stated, “This research aimed to create a machine learning model for clinicalradiomics that utilizes unenhanced computed tomography images to assess the likelihood of malignant cerebral edema (MCE) in individuals suffering from acute ischemic stroke (AIS). The research included 179 consecutive patients with AIS from two different hospitals.”

    Researcher at Swinburne University of Technology Has Published New Data on Machine Learning (The limitation of machine learning methods for water supply and dem and forecasting: A case study for Greater Melbourne, Australia)

    98-98页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Melbourne, A ustralia, by NewsRx correspondents, research stated, “ABSTRACT: Many cities around the world have faced water scarcity due to climate change, population growth, and urbanization.”

    Central South University Reports Findings in Machine Learning (Conversion of haz ardous waste into thermal conductive polymer: A prediction and guidance from mac hine learning)

    99-99页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating from Hunan, People’s Republic of China, by NewsRx correspondents, research stated, “The preparation methods and thermal conductivity (TC) of the reported thermal conductive polymers vary significantly. A method to clarify the relationship between TC and influencing factors and to reach consistent conclusions is needed.”

    Study Data from CSIR - Central Leather Research Institute Update Knowledge of Ma chine Learning (Unlocking Potential Catalysts: a Machine Learning Approach With Bayesian and Regression Models)

    100-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Chennai, India, by Ne wsRx editors, the research stated, “Due to their excellent catalytic efficiency, endurance, adaptability, and unusual structure, single-atom alloys are an impor tant category of materials with huge potential for efficiently utilising rare and costly metals in catalytic applications. Since no two of these materials are a like, designing a catalyst for each presents its own set of special challenges.”

    Ohio State University Reports Findings in Machine Learning (Machine Learning Cla ssification of Integrin-Expression-Based Magnetic Sorted SW 620 Cells by Simulta neous O-PTIR and SERS)

    101-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news originating from Columbus, Ohio, by New sRx correspondents, research stated, “Immortalized cell lines are commonly used for in vitro studies such as drug efficacy, toxicology, and life cycle due to th eir cost effectiveness and accessibility; however, subpopulations within a cell line can arise from random mutations or asynchronous cell cycles which may lead to results that make interpretation difficult. A method that could classify these differences and separate unique subpopulations would increase our understandin g of heterogeneous cellular responses.”

    Researcher from University of Massachusetts Details Findings in Neural Computati on (Optimizing Attention and Cognitive Control Costs Using Temporally Layered Ar chitectures)

    102-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on neural computation is now available. According to news reporting from the University of Massachusetts by NewsRx journalists, research stated, “The current reinforcement learning frame work focuses exclusively on performance, often at the expense of efficiency.”

    New Findings from University of Extremadura in the Area of Machine Learning Described (Main Causes of Producing Honey Bee Colony Losses In Southwestern Spain: a Novel Machine Learningbased Approach)

    102-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting out of Caceres, Spain, by N ewsRx editors, research stated, “Honey bees assume a pivotal role as primary pollinators, but they are currently facing a growing crisis of colony losses on a g lobal scale. This sector is important for generating essential products, preserving ecosystems, and crop pollination.”

    Investigators from Worcester Polytechnic Institute Zero in on Robotics (An Intui tive Guidewire Control Mechanism for Robotic Intervention)

    103-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting out of Worcester, Massachusetts, by NewsRx edito rs, research stated, “PurposeTeleoperated Interventional Roboticsystems (TIRs) are developed to reduce radiation exposure and physical stress of the physicians and enhance device manipulation accuracy and stability. Nevertheless, TIRs are not widely adopted, partly due to the lack of intuitive control interfaces.”

    Neoma Business School Reports Findings in Machine Learning (Evaluating accession decisions in customs unions: a dynamic machine learning approach)

    104-105页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting from Rouen, France, by NewsRx journalists, research stated, “Previous work in the literature on regional econ omic integration has proposed the use of machine learning algorithms to evaluate the composition of customs unions, specifically, to estimate the degree to whic h customs unions match ‘natural markets’ arising from trade flow data or appear to be driven by other factors such as political considerations. This paper expan ds upon the static approaches used in previous studies to develop a dynamic fram ework that allows to evaluate not only the composition of customs unions at a gi ven point in time, but also changes in the composition over time resulting from accessions of new member states.”

    University of Lausanne Reports Findings in Squamous Cell Carcinoma (Trans Oral Robotic Surgery for HPV-Negative Oropharyngeal Squamous Cell Carcinoma: Follow-Up on Oncological and Functional Outcomes)

    105-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Squamous Cell Carcinoma is the subject of a report. According to news originating from Laus anne, Switzerland, by NewsRx correspondents, research stated, “The efficacy of t ransoral robotic surgery (TORS) for HPV-negative oropharyngeal cancers (OPSCC) i s less explored, especially regarding long-term outcomes and prognostic factors. We conducted a retrospective monocentric study on 37 patients with HPV-negative OPSCC treated with TORS with a median followup of 3 years, assessing survival outcomes using Kaplan-Meyer statistics and swallowing function via the functiona l outcome swallowing scale (FOSS).”