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    Sun Yat-sen University Reports Findings in Machine Learning (Precise prediction of phase-separation key residues by machine learning)

    84-84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 news reportingout of Guangdong, People’s Re public of China, by NewsRx editors, research stated, “Understandingintracellula r phase separation is crucial for deciphering transcriptional control, cell fate transitions, anddisease mechanisms. However, the key residues, which impact ph ase separation the most for protein phaseseparation function have remained elus ive.”

    Kunshan Hospital of Traditional Chinese Medicine Reports Findings in Parkinson’s Disease (Utilizing Machine Learning to Identify Biomarkers of Endoplasmic Retic ulum Stress and Analyze Immune Cell Infiltration in Parkinson’s Disease)

    85-86页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Neurodegenerative Dise ases and Conditions - Parkinson’s Diseaseis the subject of a report. According to news reporting from Kunshan, People’s Republic of China, byNewsRx journalist s, research stated, “The neurodegenerative disorder known as Parkinson’s disease (PD)affects many people. The objective of this investigation was to examine th e relationship between immunesystem infiltration, ATP-binding cassette transpor ter subfamily A member 7 (ABCA7) and TBL2 as wellas potential therapeutic targe ts for the identification of PD associated to endoplasmic reticulum (ER)stress. ”

    Songshan Lake Materials Laboratory Reports Findings in Machine Learning (Machine learning-enabled high-throughput industry screening of edible oils)

    86-87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 news reporting out of Guangdong, People’s Re public of China, by NewsRx editors, research stated, “Long-termconsumption of m ixed fraudulent edible oils increases the risk of developing of chronic diseases which hasbeen a threat to the public health globally. The complicated global s upply-chain is making the industrymalpractices had often gone undetected.”

    Study Data from St. Louis University School of Medicine Update Knowledge of Robo tics (A Rare Variant of Zinner Syndrome Involving Ectopic Ureteral Implantation into the Seminal Vesicle Causing Recurrent Epididymitis)

    86-86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 reportingfrom St. Louis University School of Medicine by NewsRx journalists, research stated, “Zinner syndromeis a rare con genital anomaly characterized by a triad of renal dysgenesis/agenesis, cysts in the ipsilateralseminal vesicle, and ejaculatory duct obstruction.”

    Study Findings on Machine Learning Reported by Researchers at Anhui Agricultural University [Improving the prediction performance of leaf wat er content by coupling multi-source data with machine learning in rice (Oryza sa tiva L.)]

    87-88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 ar tificial intelligence. According to news reportingoriginating from Anhui Agricu ltural University by NewsRx correspondents, research stated, “Leaf watercontent (LWC) significantly affects rice growth and development. Real-time monitoring o f rice leaf waterstatus is essential to obtain high yield and water use efficie ncy of rice plants with precise irrigation regimesin rice fields.”

    Studies from Pennsylvania State University (Penn State) Update Current Data on M achine Learning (Constrained re-calibration of two-equation Reynolds-averaged Na vier-Stokes models)

    88-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of University Par k, Pennsylvania, by NewsRx editors, research stated, “Machine-learnedaugmentati ons to turbulence models can be advantageous for flows within the training datas et but canoften cause harm outside.”

    New Support Vector Machines Research Has Been Reported by Researchers at North C arolina State University (Active Learning for Stacking and AdaBoost-Related Mode ls)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on support vector machines are presented in a new report. According to newsreporting originating from Rale igh, North Carolina, by NewsRx correspondents, research stated, “Ensemblelearni ng (EL) has become an essential technique in machine learning that can significa ntly enhance thepredictive performance of basic models, but it also comes with an increased cost of computation.”

    Study Data from Nankai University Update Knowledge of Computational Intelligence (Autopilot Controller of Fixed-wing Planes Based On Curriculum Reinforcement Le arning Scheduled By Adaptive Learning Curve)

    90-91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 - Com putational Intelligence is the subject ofa report. According to news reporting from Tianjin, People’s Republic of China, by NewsRx journalists,research stated , “In this paper, we present a novel curriculum reinforcement learning method th at canautomatically generate a high-performance autopilot controller for a 6-de gree-of-freedom (6-DOF) aircraftwith an unknown dynamic model, which is difficu lt to be handled using traditional control methods. Inthis method, a sigmoid-li ke learning curve is elegantly introduced to generate goals (the desired heading, altitude, and velocity) from easy to hard for autopilot.”

    Researchers from Hunan City University Detail Findings in Machine Learning (Surf ace Settlement Prediction of Rectangular Pipejacking Tunnel Based On the Machin e-learning Algorithm)

    91-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Lea rning. According to news reporting originatingfrom Yiyang, People’s Republic of China, by NewsRx correspondents, research stated, “The construction disturbance mechanism of rectangular pipe-jacking tunnels is more intricate than that of ci rcular tunnels,leading to potential issues such as excessive accumulation and d eformation of the surrounding formation,which can result in engineering disaste rs. However, there is currently a lack of reliable methods forpredicting these disturbances.”

    Research from Chung-Ang University Yields New Data on Machine Learning (Pulse sh ape discrimination in an organic scintillation phoswich detector using machine l earning techniques)

    91-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from Seoul, South K orea, by NewsRx correspondents, research stated, “We developed machinelearning algorithms for distinguishing scintillation signals from a plastic-liquid couple d detector known asa phoswich.”