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    Data on Bioinformatics Reported by Anna Zhao and Colleagues@@(Role of fatty acid metabolism-related genes in periodontitis based@@on machine learning and bioinfor matics analysis)

    73-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. Accordingto news reporting from Kunming, P eople’s Republic of China, by NewsRx journalists, research stated,“This study a ims to investigate the role of genes related to fatty acid metabolism in periodo ntitis throughmachine learning and bioinformatics methods. Periodontitis datase ts GSE10334 and GSE-16134 weredownloaded from the GEO database, and the fatty a cid metabolism-related gene sets were obtained fromthe GeneCards database.”

    Studies from School of Civil Engineering Reveal New Findings on@@Machine Learning (Research and Prediction of Early-age Loads In@@Double-block Ballastless Track S tructure)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Hunan, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Consideringthe hydr ation reaction of cement, a finite element model(FEM) of the coupling of tempera tureand humidity field and chemical field in the early age of the double-block ballastless track structure wasestablished, and a field monitoring test on the early age of track slab was carried out with the newlyconstructed FuzhouXiamen high-speed railway line as a case to verify the correctness of the FEM. Basedon the official meteorological data from China Meteorological Administration (CMA) and the FEM, thedataset of vertical temperature and humidity gradients in the early age of the track slab was constructed,and five machine learning training models, namely, machine learning (MLR), multivariate polynomial regression(MPR) , support vector regression (SVR), random forest (RF), and gradient boosted regr ession(GBR), were adopted to train the temperature gradient model and humidity gradient model for the earlyage of the track slab.”

    Findings in Machine Learning Reported from Hangzhou Dianzi University@@(Pyrolysis -gasification Conversion of Waste Pharmaceutical@@Blisters: Thermo-kinetic and Th ermodynamic Study, Fuel Gas@@Analysis and Machine Learning Modeling)

    75-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originatingfrom Hangzhou, People’s Republic of Chi na, by NewsRx correspondents, research stated, “It delved intothe pyrolysis-gas ification behavior of waste pharmaceutical blisters (WPBs), exploring both kinet ics andthermodynamics, and employing machine learning modeling. The decompositi on of WPBs occurred inthree stages, with temperature intervals of 140-350, 350- 500, and 500-900 degrees C, respectively.”

    Researcher at Heilongjiang University Describes Research in Machine@@Learning (In tegrating Policy Instruments for Enhanced Urban@@Resilience: A Machine Learning a nd IoT-Based Approach to Flood@@Mitigation)

    76-76页
    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 Harbin, People’s Republ ic of China, by NewsRx journalists, research stated, “In the context of globalu rbanization, the interconnected architecture of economic, social, and administra tive activities in moderncities cultivates a complex web of interdependencies.”

    Universidad de Cuenca Reports Findings in Machine Learning (Gross@@primary produc tivity estimation through remote sensing and machine@@learning techniques in the high Andean Region of Ecuador)

    77-77页
    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 originating in Cuenca, Ecuado r, by NewsRx journalists, research stated, “Accurately estimatinggross primary productivity (GPP) is crucial for simulating the carbon cycle and addressing the challengesof climate change. However, estimating GPP is challenging due to the absence of direct measurements atscales larger than the leaf level.”

    Researchers from Beijing Institute of Technology Report on Findings@@in Robotics (A Novel Memetic Algorithm for Distributed Shape@@Formation of Swarm Robots With Both Acceleration and Velocity@@Constraints)

    78-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Robotics is the subject of a repo rt. According to news reporting out of Beijing,People’s Republic of China, by N ewsRx editors, research stated, “This article investigates the problemof distri buted shape formation (DSF) in swarm robot systems. DSF involves each robot auto nomouslyselecting and moving toward a target point to achieve a desired shape.”

    University Campus Bio-Medico of Rome Reports Findings in Machine@@Learning (Machi ne learning predicts pulmonary Long Covid@@sequelae using clinical data)

    79-79页
    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 originating from Rome, Italy, by NewsRx correspondents, research stated, “Long COVID is amulti-systemic dise ase characterized by the persistence or occurrence of many symptoms that in manycases affect the pulmonary system. These, in turn, may deteriorate the patient’ s quality of life making iteasier to develop severe complications.”

    Recent Findings from Chinese Academy of Sciences Provides New@@Insights into Robo tics (Mitigating Catastrophic Forgetting In Robot@@Continual Learning: a Guided P olicy Search Approach Enhanced@@With Memory-aware Synapses)

    80-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingout of Shenyang, People’s Republic of China, by NewsRx editors, research stated, “Complex operationalscenarios inc reasingly demand that industrial robots sequentially resolve multiple interrelat ed problemsto accomplish complex operational tasks, necessitating robots to hav e the capacity for not only learningthrough interaction with the environment bu t also for continual learning. Current deep reinforcementlearning methods have demonstrated substantial prowess in enabling robots to learn individual simple operational skills.”

    Findings from Dalian Maritime University Advance Knowledge in@@Engineering (The A pplication of Different Surrogate Models in@@Engineering Predictions)

    81-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in engineering. According to news originating fromDalian, People’s Republic of Chi na, by NewsRx correspondents, research stated, “Surrogate models arewidely used in engineering predictions to reduce computational costs and improve efficiency , especially incomplex systems where direct simulations are time-consuming and expensive.”

    Cancer Hospital Reports Findings in Melanoma (The established of@@a machine learn ing model for predicting the efficacy of adjuvant@@interferon alpha1b in patients with advanced melanoma)

    82-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Melanoma is the subject of a report. According to newsreporting from Beijing, People’s Rep ublic of China, by NewsRx journalists, research stated, “Interferonalpha1b(IFN -a1b) has shown remarkable therapeutic potential as adjuvant therapy for melanom a. Thisstudy aimed to develop five machine learning models to evaluate the effi cacy of postoperative IFN-a1b inpatients with advanced melanoma.”