首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    University of Cambridge Reports Findings in Meningeal Neoplasms (Machine learnin g for predicting post-operative outcomes in meningiomas: a systematic review and meta-analysis)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Central Nervous System Diseases a nd Conditions - Meningeal Neoplasms is thesubject of a report. According to new s reporting out of Cambridge, United Kingdom, by NewsRx editors,research stated , “Meningiomas are the most common primary brain tumour and account for over one -thirdof cases. Traditionally, estimations of morbidity and mortality following surgical resection have dependedon subjective assessments of various factors, including tumour volume, location, WHO grade, extent ofresection (Simpson grade ) and pre-existing co-morbidities, an approach fraught with subjective variability.”

    McGill University Reports Findings in Brain Metastasis (Machine learning predict ion of brain metastasis invasion pattern on brain magnetic resonance imaging sca ns)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Brain Diseases and Con ditions - Brain Metastasis is the subject of areport. According to news reporti ng out of Quebec, Canada, by NewsRx editors, research stated, “Brainmetastasis invasion pattern (BMIP) is an emerging biomarker associated with recurrence-free and overall survival in patients, and differential response to therapy in precl inical models. Currently, BMIP can only bedetermined from the histopathological examination of surgical specimens, precluding its use as a biomarkerprior to t herapy initiation.”

    Research from Department of English Broadens Understanding of Artificial Intelli gence (Implementation of artificial intelligence in human resource management pr actices)

    68-69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 newsreporting from the Department of Engli sh by NewsRx journalists, research stated, “Analyzing how AI willchange HRM str ategies is the focus of this research.”

    Reports on Machine Learning from Fuzhou University Provide New Insights (Real-ti me Prediction of Pool Fire Burning Rates Under Complex Heat Transfer Effects Inf luenced By Ullage Height: a Comparative Study of Bpnn and Svr)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Fuzhou, People ’s Republic of China, by NewsRx editors, research stated, “Thisresearch utilize s machine learning methods to forecast the complex, non-linear thermal phenomena , alongwith heat transfer mechanisms, that influence the burning rate of pool f ires, especially with changes inullage height. Experiments involving pool fires were systematically designed and carried out, incorporatingdifferent diameters and ullage heights.”

    First People’s Hospital of Changzhou Reports Findings in Non-Small Cell Lung Can cer (Short-term outcomes of robotic- vs. televisionassisted thoracoscopic segme ntal lung resection for early-stage nonsmall- cell lung cancer in the day surger y …)

    70-71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 - Non-Small C ell Lung Cancer is the subject of a report.According to news originating from C hangzhou, People’s Republic of China, by NewsRx correspondents,research stated, “At present, few articles compare the differences between robot-assisted thorac ic surgeries(RATSs) and video-assisted thoracic surgeries (VATSs) in the day su rgery model and there is also littleliterature on what factors influence delaye d discharge from day surgery. This study aims to compareshort-term outcomes bet ween RATS and VATS for segmental lung resection in a day surgery setting, andto identify risk factors for delayed discharge.”

    Tianjin Normal University Reports Findings in Bullying (Dissecting the Predictor s of Cyber-Aggression Through an Explainable Machine Learning Model)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Social Behavior - Bull ying is the subject of a report. According tonews originating from Tianjin, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“The general aggression model (GAM) suggests that cyber-aggression stems from individual cha racteristicsand situational contexts. Previous studies have focused on limited factors using linear models, leading tooversimplified predictions.”

    Sichuan University Reports Findings in Machine Learning (Predicting postoperativ e pulmonary infection risk in patients with diabetes using machine learning)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Chengdu, Peo ple’s Republic of China, by NewsRx correspondents, researchstated, “Patients wi th diabetes face an increased risk of postoperative pulmonary infection (PPI). However, precise predictive models specific to this patient group are lacking.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Uni versity of Queensland (Insights Into Heat Treatments of Biodegradable Mg-y-nd-zr Alloys In Clinical Settings: Unveiling Roles of R’ and R 1 Nanophases and Laten t<i> …)

    73-74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 in Brisbane, Australia, by NewsRx journalists, research stated, “Heat treatment serves as aviable strat egy to effectively mitigate the intense corrosion of biodegradable WE43 alloys. However,limited comprehension of the passivation mechanisms underlying heat tre atment and the dilemma toquantitatively examine the evolution of hydrogen gas i n vivo introduce uncertainties in designing heattreatments for developing clini cally applicable WE43.”

    Wenzhou Seventh People’s Hospital Reports Findings in Bipolar Disorders (Machine learning-driven simplification of the hypomania checklist-32 for adolescent: a feature selection approach)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Mental Health Diseases and Conditions - Bipolar Disorders is thesubject of a report. According to new s reporting originating in Wenzhou, People’s Republic of China, byNewsRx journa lists, research stated, “The Hypomania Checklist-32 is widely used to screen for bipolardisorder, but its length can be challenging for adolescents with manic symptoms. This study aimed todevelop a shortened version of the HCL-32 tailored for adolescents using machine learning techniques.”

    Investigators from China Agricultural University Zero in on Artificial Intellige nce (Ethical and Strategic Challenges of Ai Weapons: a Call for Global Action)

    75-76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 newsreporting from Beijing, People’s Repub lic of China, by NewsRx journalists, research stated, “About adecade ago, theor etical physicist Stephen Hawking expressed extreme concern about the development ofartificial intelligence (AI), stating that ‘the development of full artifici al intelligence could spell the end ofthe human race. Concurrently, in 2014, en trepreneur Elon Musk expressed similar cautionary sentiments,suggesting that AI might surpass nuclear weapons in terms of danger.”