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Robotics & Machine Learning Daily News

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    Researchers from Nanjing University Report Recent Findings in Machine Learning ( Simulating a Strongly Nonlinear Backward Stochastic Partial Differential Equatio n Via Efficient Approximation and Machine Learning)

    20-20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 Machine Learning is now available. According to news reporting out of Nanjing, People’s Republic of Chi na, by NewsRx editors, the research stated, “We have studied a strongly nonlinea r backward stochastic partial differential equation (B-SPDE) through an approxim ation method and with machine learning (ML)-based Monte Carlo simulation. This e quation is well-known and was previously derived from studies in finance.”

    Royal Marsden NHS Foundation Trust Reports Findings in Endometrial Cancer (Profi ciency-based progression training in robotassisted laparoscopy for endometrial cancer: peri-operative and survival outcomes from an observational cohort study)

    21-22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 - Endometrial Cancer is the subject of a report. According to news reporting originating in L ondon, United Kingdom, by NewsRx journalists, research stated, “Over the last de cade there has been a transition from traditional laparoscopy to robotic surgery for the treatment of endometrial cancer. A number of gynecological oncology sur gical fellowship programmes have adopted robot-assisted laparoscopy, but the eff ect of training on complications and survival has not been evaluated.”

    University Hospital Carl Gustav Carus Reports Findings in Personalized Medicine (Using machine learning algorithms to detect fear of falling in people with mult iple sclerosis in standardized gait analysis)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Drugs and Therapies - Personalize d Medicine is the subject of a report. According to news reporting out of Dresde n, Germany, by NewsRx editors, research stated, “Multiple sclerosis (MS) is the most common chronic inflammatory disease of the central nervous system. The prog ressive impairment of gait is one of the most important pathognomic symptoms whi ch are associated with falls and fear of falling (FOF) in people with MS (pwMS). 60 % of pwMS show a FOF, which leads to restrictions in mobility as well as physical activity and reduces the quality of life in general.”

    Studies from School of Geosciences Have Provided New Data on Machine Learning (U nraveling hidden relationships between seismic multi-attributes, well dynamic da ta, and Brazilian pre-salt carbonate reservoirs productivity: a shallow versus d eep ...)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Norman, Okl ahoma, by NewsRx correspondents, research stated, “During the initial phases of an EP project, the most reliable data on the reservoir s deliverability are acqu ired via drill stem tests (DST), which provide productivity per flow units, when ever production logging tool (PLT) data are available. However, DSTs are restric ted to a few kilometers, whereas seismic data cover large areas.”

    Research Conducted at University of Ghent Has Provided New Information about Mac hine Learning (Machine Learning Insights Into Caco3 Phase Transitions: Synthesis and Phase Prediction)

    24-25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 Learn ing have been published. According to news reporting originating in Ghent, Belgi um, by NewsRx journalists, research stated, “Machine learning (ML) extends rapid ly in many research areas including design of novel processing routines, imaging , and material science. Particularly, ML enables design of new materials with co mplex structures and shorten the development cycle through model prediction from existing database.” Funders for this research include BOF-UGent, FWO-F.N.R.S under the Excellence of Science (EOS) program, EU project “SurfBio”, FWO, China Scholarship Council, Be lgian Federal Science Policy Office, European Space Agency.

    New Machine Learning Study Findings Have Been Reported by Researchers at Linkopi ng University (Can Machine Learning Approaches Predict Green Purchase Intention? -a Study From Indian Consumer Perspective)

    25-26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 th e subject of a report. According to news reporting from Linkoping, Sweden, by Ne wsRx journalists, research stated, “This paper explores consumer green consumpti on practices and considers a set of factors, including cognitive and behavioural level constructs, that influence green consumption. The paper primarily aims to predict the green purchase intention and classify a consumer as a green or non- green consumer.”

    University of Science and Technology of China Reports Findings in Biomimetics (E xploring Enzyme-Mimicking Metal-Organic Frameworks for CO2 Conversion through Vi brational Spectra-Based Machine Learning)

    26-27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 Nanotechnology - Biomi metics is the subject of a report. According to news reporting from Anhui, Peopl e’s Republic of China, by NewsRx journalists, research stated, “In pursuing the benefits of natural enzyme catalysts while overcoming their limitations, we find metal-organic frameworks (MOFs), renowned for their highly tunable functionalit ies, stand out in biomimetic applications. We used unsupervised machine learning on density functional theory-computed vibrational infrared and Raman spectral f eatures to screen 300 Zn-MOFs for CO conversion, similar to carbonic anhydrase ( CA).”

    Findings on Machine Learning Reported by Investigators at Indian Institute of Te chnology (IIT) Indore (Decoding Cognitive Health Using Machine Learning: a Compr ehensive Evaluation for Diagnosis of Significant Memory Concern)

    27-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating from Indore, India, by NewsRx correspondents, research stated, “The timely identification of significa nt memory concern (SMC) is crucial for proactive cognitive health management, es pecially in an aging population. Detecting SMC early enables timely intervention and personalized care, potentially slowing cognitive disorder progression.” Funders for this research include Department of Science & Technolo gy (India), Council of Scientific & Industrial Research (CSIR) - I ndia, Science and Engineering Research Board under the Mathematical Research Imp act-Centric Support (MATRICS) Scheme.

    Tianjin Medical University General Hospital Reports Findings in Brain Ischemia ( Identification of key genes and immune infiltration in peripheral blood biomarke r analysis of delayed cerebral ischemia: Valproic acid as a potential therapeuti c ...)

    28-29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 Central Nervous System Diseases and Conditions - Brain Ischemia is the subject of a report. According to news reporting from Tianjin, People’s Republic of China, by NewsRx journalist s, research stated, “Delayed cerebral ischemia (DCI) is a common and serious com plication of subarachnoid hemorrhage (SAH). Its pathogenesis is not fully unders tood.”

    Findings from Polytechnic University Torino Update Knowledge of Machine Learning (Review On Machine Learning Techniques for the Assessment of the Fatigue Respon se of Additively Manufactured Metal Parts)

    29-30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 Learn ing have been published. According to news originating from Turin, Italy, by New sRx correspondents, research stated, “The present review paper addresses the inc reasing interest in the application of machine learning (ML) algorithms in the a ssessment of the fatigue response of additively manufactured (AM) metal alloys. This review aims to systematically collect, categorize, and analyze relevant res earch papers in this domain.”