查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-New research on Respiratory Tract Diseases and Co nditions - Obstructive Sleep Apnea is thesubject of a report. According to news reporting from Kuopio, Finland, by NewsRx journalists, researchstated, "Obstru ctive sleep apnea is a heterogeneous sleep disorder with varying phenotypes. Sev eralstudies have already performed cluster analyses to discover various obstruc tive sleep apnea phenotypicclusters."Funders for this research include Tampereen Tuberkuloosisaatio, Orionin Tutkimus saatio, HengityssairauksienTutkimussaatio, Agence Nationale de la Recherche.The news correspondents obtained a quote from the research from the University o f Eastern Finland,"However, the selection of the clustering method might affect the outputs. Consequently, it is unclearwhether similar obstructive sleep apne a clusters can be reproduced using different clustering methods.In this study, we applied four well-known clustering methods: Agglomerative Hierarchical Cluste ring; Kmeans;Fuzzy C-means; and Gaussian Mixture Model to a population of 865 suspected obstructive sleepapnea patients. By creating five clusters with each method, we examined the effect of clustering methodson forming obstructive slee p apnea clusters and the differences in their physiological characteristics. Weutilized a visualization technique to indicate the cluster formations, Cohen's k appa statistics to find thesimilarity and agreement between clustering methods, and performance evaluation to compare the clusteringperformance. As a result, two out of five clusters were distinctly different with all four methods, whilethree other clusters exhibited overlapping features across all methods. In terms of agreement, Fuzzy Cmeansand K-means had the strongest (k = 0.87), and Agglo merative hierarchical clustering and GaussianMixture Model had the weakest agre ement (k = 0.51) between each other. The K-means showed thebest clustering perf ormance, followed by the Fuzzy C-means in most evaluation criteria. Moreover, Fu zzyC-means showed the greatest potential in handling overlapping clusters compa red with other methods."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-A new study on Robotics - Robotics and Automation is now available. Accordingto news reporting originating in La Gard e, France, by NewsRx journalists, research stated, "This letterfocuses on categ orizing diver gestures by analyzing angle features extracted from the movements of theirupper limbs without exploiting information encoded by the hands, as is generally the case in the literature.Our approach is intended to be as generic as possible, in order to enable gesture recognition, whatever thediver's equipm ent, and to use the usual signs used by divers."Funders for this research include Region Provence-Alpes-Cote d'Azur, Notilo Plus /Delair Marine Company.The news reporters obtained a quote from the research from the University of the South Toulon-Var,"New shallow RNN pipelines based on LSTM and GRU are proposed and evaluated with regard to a DTWKNNdeterministic baseline. For underwater g estures, a preliminary energy-based SVM separation stageis introduced to distin guish between one-arm and two-arm gestures. All classification strategies are validated using a leave-one-out protocol on a motion capture dataset comprising 14 divers performing 11distinct gestures. The database was collected in-house wit h a total of 1078 individual gesture recordings.The SVM separation stage clearl y improves the results, from 15% for DTW-KNN to 5% f or RNNs."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Liver Diseases and Con ditions - Non-Alcoholic Fatty Liver Diseaseis the subject of a report. Accordin g to news reporting from Changsha, People's Republic of China, byNewsRx journal ists, research stated, "Non-alcoholic fatty liver disease (NAFLD) represents a m ajor globalhealth challenge, often undiagnosed because of suboptimal screening tools. Advances in machine learning(ML) offer potential improvements in predict ive diagnostics, leveraging complex clinical datasets."The news correspondents obtained a quote from the research from the Hunan Univer sity of ChineseMedicine, "We utilized a comprehensive dataset from the Dryad da tabase for model development andtraining and performed external validation usin g data from the National Health and Nutrition ExaminationSurvey (NHANES) 2017-2 020 cycles. Seven distinct ML models were developed and rigorouslyevaluated. Ad ditionally, we employed the SHapley Additive exPlanations (SHAP) method to enhan cethe interpretability of the models, allowing for a detailed understanding of how each variable contributesto predictive outcomes. A total of 14,913 particip ants were eligible for this study. Among the sevenconstructed models, the light gradient boosting machine achieved the highest performance, with an areaunder the receiver operating characteristic curve of 0.90 in the internal validation s et and 0.81 in theexternal NHANES validation cohort. In detailed performance me trics, it maintained an accuracy of 87%,a sensitivity of 92.9% , and an F1 score of 0.92. Key predictive variables identified included alanine aminotransferase,gammaglutamyl transpeptidase, triglyceride glucose-waist circu mference, metabolic score forinsulin resistance, and HbA1c, which are strongly associated with metabolic dysfunctions integral to NAFLDprogression. The integr ation of ML with SHAP interpretability provides a robust predictive tool for NAFLD, enhancing the early identification and potential management of the disease."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Fresh data on Robotics - Robotics and Automation are presented in a new report.According to news reporting originatin g from Poznan, Poland, by NewsRx correspondents, research stated,"The letter pr esents a novel solution to determine exposure and threshold values for cameras i n motioncapture systems without excessive interaction with the user. The soluti on is based on the divide andconquer method, which ensures a fast and efficient search of the values."Financial support for this research came from Poznan University of Technology.Our news editors obtained a quote from the research from the Poznan University o f Technology, "As theresults have shown, users without specialist knowledge can significantly improve the tracking capabilitiesof the motion capture system, e specially for smaller passive markers. The tests have proved that forspherical markers with a diameter of 7.9 mm, the full time tracking capabilities can be en sured based onthe settings determined with the proposed method, what is difficu lt to achieve with the default settings.Moreover, the cameras utilisation can b e increased, which should have a positive effect on the overalltracking quality . This makes it possible to use smaller and lighter-weight markers, which is des irable forsmall flying units with payload capacity of a few grams only. The pri mary tests were performed in thelaboratory equipped with 12 OptiTrack Prime(x) 13W cameras. The dedicated programming interfaces(Motive API and Camera SDK) we re used. The validation tests included a DJI Tello EDU unit with fourmarkers at tached."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Sassari, Ital y, by NewsRx journalists, research stated, "Effective monitoring andearly detec tion of invasive alien plant species (IAPs) are crucial for mitigating their spr ead and safeguardingnative habitats. Unmanned Aerial Vehicles (UAVs) offer a co st-efficient solution, providing high resolutionimages."Funders for this research include National Recovery and Resilience Plan (NRRP), Italian Ministry ofUniversity and Research - European Union - NextGenerationEU, Ministry of Education, Universities andResearch (MIUR).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Surgery - Prostatectom y is the subject of a report. According tonews reporting from Beijing, People's Republic of China, by NewsRx journalists, research stated, "Urinaryincontinenc e is a common complication following robot-assisted radical prostatectomy (RARP) . Urethrallength has been identified as a factor affecting postoperative contin ence recovery."The news correspondents obtained a quote from the research from Capital Medical University, "Inthis meta-analysis, we examined the association between use of t he maximal urethral length preservation(MULP) technique and postoperative urina ry continence in patients undergoing RARP. We conducted acomprehensive search o f PubMed, Web of Science, Embase, and the Cochrane Library up to December31, 20 23. The quality of the literature was assessed using the Newcastle-Ottawa Scale. A random-effectsmeta-analysis was performed to synthesize data and calculate t he odds ratio (OR) from eligible studies oncontinence and MULP. Six studies inv olving 1869 patients met the eligibility criteria. MULP was positivelyassociate d with both early continence (1 month after RARP; Z = 3.62, P = 0.003, OR = 3.10 , 95%confidence interval [CI] : 1.68-5.73) and late continence (12 months after RARP; Z = 2.34, P = 0.019,OR = 2.10, 95% CI: 1.13-3.90). Oncological outcomes indicated that MU LP did not increase the overallpositive surgical margin rate or the positive su rgical margin status at the prostate apex (both P> 0.05) ."
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 reporting fromNanjing, People's Republic of China, by NewsRx editors, the research stated, "As an important performanceindicator of battery management systems, lithium-ion battery state of health (SOH) informa tion is crucialto ensure battery safety and extend battery lifetime. Aiming at the problems of feature extraction difficulty,low accuracy of long-term predict ion, and poor parallel computing capability of general data-drivenmethods, this paper proposes a SOH estimation method for lithium-ion batteries based on incre mentalcapacity analysis (ICA) and Transformer."Funders for this research include Aeronautical Science Foundation of China, Fund amental ResearchFunds for the Central Universities.
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 originating from Santiago, C hile, by NewsRx correspondents, research stated, "In recent years,the use of ar tificial intelligence methodologies has demonstrated effectiveness in improving the safety andefficiency of building evacuations during emergencies. However, r esearch in this field has been scattered,with limited understanding of current challenges and emerging trends."Funders for this research include DICYT (Scientific and Technological Research B ureau) of the Universityof Santiago of Chile (USACH), Department of Industrial Engineering, DICYT project: Optimizationof coverage and location of water reser voirs.
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 - Ro botics and Automation have been published.According to news reporting from Rome , Italy, by NewsRx journalists, research stated, "LiDAR odometryis the task of estimating the ego-motion of the sensor from sequential laser scans. This proble m hasbeen addressed by the community for more than two decades, and many effect ive solutions are availablenowadays."Financial support for this research came from Sapienza University of Rome throug h Project H&M: Hyperspectraland Multispectral Fruit Sugar Content Estimation for Robot Harvesting Operations in DifficultEnvironments.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Current study results on Machine Learn ing have been published. According tonews reporting from Adelaide, Australia, b y NewsRx journalists, research stated, "The electrocatalyticreduction of carbon dioxide by metal catalysts featuring dual-atomic active sites, supported on two -dimensional carbon-nitrogen materials, holds promise for enhanced efficiency. T he potential synergybetween various support materials and transition metal comp ositions in influencing reaction performancehas been recognized."Funders for this research include Australian Research Council, University of Ade laide, Center for AugmentedReasoning, Australian Institute for Machine Learning , University of Adelaide, as part of the Wiley- The University of Adelaide agre ement via the Council of Australian University Librarians.
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