查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning-Computational Intelligence is the subject of a report. According to news reporting from Hefei, People's Republic of China, by NewsRx journalists, research stated, "Paperrevi ewer recommendation is an effective method to match reviewers for papers in peer review. However, existing recommendation methods are either sensitive to the or der of paper process or not excepted fair in total." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from the Hefei Univer sity of Technology, "How to efficiently and accurately recommend is still a toug h task and needs to be further explored. Thus, in this paper, we propose a greed y-version automatic paper-reviewer recommendation algorithm regarding both aspec ts of depth and breadth, named as GMCTS. More specifically, from the depth aspec t, we focus on the maximum weight matching between paper and reviewer for each r ecommendation. While from the breadth aspect, we consider the broadest of distin ctive topics (expertise) covered by the recommended reviewers. Furthermore, to a void the unfairness of recommendation, we consider three types of constraints bo th theoretically and experimentally, including paper demand constraint, reviewer workload constraint and multiple types of Conflict Of Interests (COIs). Finally , extensive experiments conducted on benchmark datasets demonstrate that GMCTS a chieves an impressive performance."
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 from Tianjin, P eople's Republic of China, by NewsRx correspondents, research stated, "Normalize d decision support system for lumbar disc herniation (LDH) will improve reproduc ibility compared with subjective clinical diagnosis and treatment. Magnetic reso nance imaging (MRI) plays an essential role in the evaluation of LDH." Our news editors obtained a quote from the research from Tianjin Medical Univers ity, "This study aimed to develop an MRI-based decision support system for LDH, which evaluates lumbar discs in a reproducible, consistent, and reliable manner. The research team proposed a system based on machine learning that was trained and tested by a large, manually labeled data set comprising 217 patients' MRI sc ans (3255 lumbar discs). The system analyzes the radiological features of identi fied discs to diagnose herniation and classifies discs by Pfirrmann grade and MS U classification. Based on the assessment, the system provides clinical advice. Eventually, the accuracy of the diagnosis process reached 95.83%. A n 83.5% agreement was observed between the system's prediction and the ground-truth in the Pfirrmann grade. In the case of MSU classification, 95. 0% precision was achieved. With the assistance of this system, the accuracy, interpretation efficiency and interrater agreement among surgeons wer e improved substantially."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting originating in Barcelona, Spain, by NewsRx journalists, research stated, "This paper proposes an approach for train ing visuo-haptic object recognition models for robots using synthetic datasets g enerated by 3D virtual simulations. In robotics, where visual object recognition has witnessed considerable progress due to an abundance of image datasets, the scarcity of diverse haptic samples has resulted in a noticeable gap in research on machine learning incorporating the haptic sense." Financial support for this research came from Universitat Ramon Llull.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Hereditary Sensory and Motor Neuropathy-Hereditary Spastic Paraplegia is the subject of a report. Ac cording to news reporting from Erlangen, Germany, by NewsRx journalists, researc h stated, "Hereditary spastic paraplegias (HSPs) comprise a group of inherited n eurodegenerative disorders characterized by progressive spasticity and weakness. Botulinum toxin has been approved for lower limb spasticity following stroke an d cerebral palsy, but its effects in HSPs remain underexplored." Funders for this research include Deutsche Forschungsgemeinschaft, Bundesministe rium fur Bildung und Forschung, Else Kroner-Fresenius-Stiftung, Forschungsstiftu ng Medizin am Universitatsklinikum Erlangen.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on robotics have bee n published. According to news reporting from Harbin, People's Republic of China , by NewsRx journalists, research stated, "A small rock shotcrete robot is appli ed in the deep tunnel dynamic disaster physical simulation system in order to si mulate the final operation process of the tunnel project." Financial supporters for this research include National Natural Science Foundati on of China. The news journalists obtained a quote from the research from Harbin Engineering University: "The robot's spraying operation and control include many kind of fac tors. In this paper, the main parameters affecting the spraying operation are an alyzed by establishing the spraying model and coating growth model. For matching reasonably the spraying parameters, the matching equation of spraying quality a nd spraying gun parameter model and spraying feed speed has been derived. Based on the matching equation, the spraying gun structure and robot control system ar e designed, and the spraying distance and spraying gun movement velocity includi ng horizontal and vertical driving have been controlled better. On the basis of theoretical analysis, a small rock hole shotcrete robot prototype has been devel oped and the spraying experiments have been finished. The experimental results s howed that the model and equation established can guided the spraying quality co ntrol."
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-Meningeal Neoplasms is the subject of a report. Accor ding to news originating from Guangzhou, People's Republic of China, by NewsRx c orrespondents, research stated, "The objective of our study was to establish and verify a novel combined model based on multiparameter magnetic resonance imagin g (MRI) radiomics and clinical features to distinguish intraspinal schwannomas f rom meningiomas. This research analyzed the preoperative magnetic resonance (MR) images and clinical characteristics of 209 patients with intraspinal tumors who received tumor resection at three institutions. 159 individuals from institutio ns 1 and 2 were randomly assigned into a training group (n=111) and a test group (n=48) in a 7-3 ratio." Our news journalists obtained a quote from the research from the Third Affiliate d Hospital of Southern Medical University, "A nomogram was constructed using the training cohort and was internally and externally verified in the test cohort a nd an independent validation cohort (n=50). Model performance was assessed utili zing the area under the curve (AUC) of receiver operating characteristics (ROC), decision curve analysis (DCA), and calibration curves. The nomogram exhibited s uperior predictive efficacy in distinguishing between spinal schwannomas and men ingiomas when compared to both the radiomics model and the clinical model. The n omogram yielded AUCs of 0.994, 0.962, and 0.949 in the training, test, and exter nal validation cohorts, respectively, indicating its exceptional differentiating ability. The DCAs demonstrated that the nomogram yielded the best net benefit. The calibration curves indicated that the nomogram got good agreement between th e predicted and the actual observation."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting originating from Ghent, Belgium, by N ewsRx correspondents, research stated, "Implementing a robotic system for minima lly invasive surgical procedures necessitates a comprehensive training regimen. This involves not only mastering the technological aspects of the robotic system but also enhancing surgical proficiency in manipulating robotic instruments." Our news editors obtained a quote from the research from University Hospital Ghe nt, "Furthermore, procedural expertise in specific surgeries is critical. Minima lly invasive inguinal hernia repair is particularly suitable as an initial proce dure for human application. The development of a comprehensive training model fo r this type of repair is a crucial element of such an educational pathway. Anato mical dissections were carried out on pigs to assess both the similarities and d ifferences between pig and human anatomy. A structured minimally invasive inguin al hernia repair was performed to determine the suitability of the porcine ingui nal region for training purposes. A detailed anatomical description of the porci ne inguinal region is outlined, to provide a framework for assessing the critica l view of the porcine myopectineal orifice. By integrating the human 'ten golden rules' for safe and effective minimally invasive inguinal hernia repair, the st andardized porcine integrated robotic inguinal hernia training (SPIRIT) model de scribes a step-by-step approach to practice surgical techniques in a realistic s etting."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Lung Diseases and Cond itions-Cystic Fibrosis is the subject of a report. According to news reporting originating in Seattle, Washington, by NewsRx journalists, research stated, "Pe ople with cystic fibrosis (PwCF) experience frequent symptoms associated with ch ronic lung disease. A complication of CF is a pulmonary exacerbation (PEx), whic h is often preceded by an increase in symptoms and a decline in lung function." The news reporters obtained a quote from the research from the University of Was hington, "A symptom cluster is when two or more symptoms co-occur and are relate d; symptom clusters have contributed meaningful knowledge in other diseases. The purpose of this study is to discover symptom clustering patterns in PwCF during a PEx to illuminate symptom phenotypes and assess differences in recovery from PExs. This study was a secondary, longitudinal analysis (N = 72). Participants a t least 10 years of age and being treated with intravenous antibiotics for a CF PEx were enrolled in the United States. Symptoms were collected on treatment day s 1-21 using the CF Respiratory Symptom Diary (CFRSD)- Chronic Respiratory Sympto m Score (CRISS). K-means clustering was computed on day 1 symptom data to detect clustering patterns. Linear regression and multi-level growth models were perfo rmed. Symptoms significantly clustered based on severity: low symptom (LS)-pheno type (n = 42), high symptom (HS)- phenotype (n = 30). HS-phenotype had worse symp toms and CRISS scores (p <0.01) than LS-phenotype. HS-phen otype was associated with spending 5 more nights in the hospital annually (p <0.01) than LSphenotype. HS-phenotype had worse symptoms over 21 days than LS-p henotype (p <0.0001). Symptoms significantly cluster on da y 1 of a CF-PEx."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting from Punjab, Pakistan, by NewsRx j ournalists, research stated, "Smart home devices, also known as IoT devices, pro vide significant convenience; however, they also present opportunities for attac kers to jeopardize homeowners' security and privacy." Funders for this research include Department of Cyber Security And Networks, Sch ool of Computing, Engineering And Built Environment, Glasgow Caledonian Universi ty, Uk. Our news correspondents obtained a quote from the research from COMSATS Universi ty Islamabad: "Securing these IoT devices is a formidable challenge because of t heir limited computational resources. Machine learning-based intrusion detection systems (IDSs) have been implemented on the edge and the cloud; however, IDSs h ave not been embedded in IoT devices. To address this, we propose a novel machin e learning-based two-layered IDS for smart home IoT devices, enhancing accuracy and computational efficiency. The first layer of the proposed IDS is deployed on a microcontroller-based smart thermostat, which uploads the data to a website h osted on a cloud server. The second layer of the IDS is deployed on the cloud si de for classification of attacks. The proposed IDS can detect the threats with a n accuracy of 99.50% at cloud level (multiclassification)."
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 out of Wuhan, People's Republ ic of China, by NewsRx editors, research stated, "Geological disasters such as l andslide, debris flow and collapse are major natural disasters faced by both Chi na and the world, which seriously threaten people's lives, property security and the socio-economic development. Although the method of using the paradigm of tr aditional mathematical statistics and physical model to predict the low-probabil ity events of geological disasters have been developed for decades, the difficul ty of accurate prediction still remains significant, which is recognized as a ma jor and urgent scientific challenge in the field of Earth science." Financial support for this research came from Hubei Luojia Laboratory.
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