查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on Machine Learning are presented in a new report. According to news reporting originating in Beijing, People's Republ ic of China, by NewsRx journalists, research stated, "Material characteristics o f casting moulds are crucial for understanding the evolution and diversification of bronze ritual vessel production in Bronze Age China. During relevant studies , a Back Scattered Electron (BSE) image detector is commonly employed to analyze mould microstructure, effectively revealing the volume ratios and shape feature s of the clay matrix, silt/sand particles, and voids." Financial supporters for this research include National Key Research & Development Program of China, Second-phase opening project of the Palace Museum (Research on Multiple Information Management and Visualization for Cultural Reli cs Protection) - Forbidden City Cultural Heritage Conservation Foundation and th e Longfor-Forbidden City Cultural Heritage Fou.
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Surgery - Radical Cyst ectomy is the subject of a report. According to news reporting out of Lanzhou, P eople's Republic of China, by NewsRx editors, research stated, "To compare perio perative outcomes of robot-assisted radical cystectomy (RARC) using a single-por t (SP) or multi-port (MP) robotic platform. We conducted a comprehensive search of the PubMed, Web of Science, Scopus, and Google Scholar databases until June 2 024." Our news journalists obtained a quote from the research from the Second Hospital of Lanzhou University, "For a combined analysis of the data using random effect s, Review Manager 5.4 was employed. To compare continuous and categorical variab les, the weighted mean difference (WMD) and odds ratio (OR) were employed, respe ctively. Three original studies were included, comprising a total of 170 patient s (SPRARC: 73 versus MP-RARC: 93).Recovery of bowel function was faster in SP-R ARC (WMD -1.02 days, 95% CI - 1.33 to - 0.17; p<0.001), and lymph-node yield was lower than in MP-RARC patients (WMD - 6.32, 95 % CI - 8.90 to - 3.75; p<0.00001).There were no significant differences between the SP-RARC and MP-RARC groups in terms of o ther perioperative outcomes such as surgery duration, length of hospital stay, e stimated blood loss, major complication rate, positive surgical margin rate, rea dmission rate, and recurrence rate. The SP robot offers a safe alternative surgi cal approach to RARC, providing similar postoperative outcomes compared to the M P robot."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Barcelona, Sp ain, by NewsRx journalists, research stated, "The increase in the demand for eXt ended Reality (XR)/Virtual Reality (VR) services in the recent years, poses a gr eat challenge for Wi-Fi networks to maintain the strict latency requirements. In VR over Wi-Fi, latency is a significant issue."Financial supporters for this research include MCIU/AEI/FEDER,UE, European Union (EU), Agencia de Gestio D'Ajuts Universitaris de Recerca Agaur (AGAUR), MCIN/AE I under the Maria de Maeztu Units of Excellence Programme, Spanish Ministry of S cience and Innovation MCIN/AEI/.
查看更多>>摘要：2024 OCT 03 (NewsRx)-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 from Paris, France, by News Rx journalists, research stated, "The computational exploration of reactive proc esses is challenging due to the requirement of thorough sampling across the free energy landscape using accurate ab initio methods." The news correspondents obtained a quote from the research from Sorbonne Univers ity, "To address these constraints, machine learning potentials are employed, ye t their training for this kind of problem is still a laborious and tedious task. In this study, we present an efficient approach to train these potentials by cl everly using a single batch of unbiased trajectories that avoid the pitfalls of trajectories artificially biased along a suboptimal collective variable."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news reporting originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "This paper prese nts an optimal control architecture for Pegasus, a novel quadruped wheel-legged robot with hybrid locomotion capabilities. The proposed control architecture com prises of a hierarchical motion planner and a model predictive controller (MPC) that optimizes motion planning and control in various stages." Financial support for this research came from Shanghai Science and Technology Ag riculture Promotion Project.
查看更多>>摘要：2024 OCT 03 (NewsRx)-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 Wuhan, Peopl e's Republic of China, by NewsRx journalists, research stated, "The printed circ uit heat exchanger (PCHE), a compact and highly efficient device, is capable of operating effectively under demanding conditions, which makes it ideal for super critical CO2 Brayton cycles. In this study, we present a novel airfoil fin PCHE with tip gap, and conduct multi-objective optimization on the tip gap and arrang ement of airfoil fins based on the analysis of the supercritical CO2 flow and he at transfer characteristics." The news reporters obtained a quote from the research from the Huazhong Universi ty of Science and Technology, "We conduct a parameter design using Design of Exp eriment to examine the impact of the dimensionless design parameters, including the horizontal number (Ch), staggered number (Cs), vertical number (Cv), and gap number (Cg). To forecast the flow and heat transfer performance, we utilize a n eural network model called Particle Swarm Optimization-Back Propagation (PSO-BP) . We employ the non-dominated sorting genetic algorithm II to obtain the Pareto optimal front by utilizing Ch, Cs, Cv, and Cg as variables for optimization, and the volumetric heat transfer coefficient (hv) and Fanning friction factor (f) a s objectives for optimization. The results find that the utilization of tip gap can enhance heat transfer while reducing flow resistance. The PSO-BPNN model exh ibits higher prediction accuracy and excellent generalization ability compared w ith traditional BPNN model. The VIKOR and TOPSIS methods identify compromise sch emes with excellent thermal-hydraulic performance."
查看更多>>摘要：2024 OCT 03 (NewsRx)-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 out of Chongqing, People's Republic o f China, by NewsRx editors, research stated, "The tool axis vectors of the path points in the model are prone to mutation because of the curvature characteristi c of the measured model of the complex curved blade. It may cause unsteady robot ic joint motion and further deteriorate the blade's machining quality." Funders for this research include National Natural Science Foundation of China ( NSFC), Innovation Group Science Fund of Chongqing Natural Science Foundation, In novation Fund of Aero Engine Corporation of China. Our news journalists obtained a quote from the research from Chongqing Universit y, "In order to solve this issue, a strategy for optimizing the tool axis vector s is proposed that will smooth the tool axis vectors dispersed at every complete cross-sectional contour of the blade's measured point cloud. This approach buil ds a tool axis smoothing algorithm on top of the surface energy model (TASE). Co mpared to other typical smoothing methods, TASE improves the tool axis vectors' smoothness by more than 22%. Furthermore, the profile smoothness wi th TASE is improved by more than 27% than that with these typical algorithms. In order to generate the uniform robotic joint-motion, a tool axis i teration algorithm (TAI) is further proposed for the smoothed tool axis vectors with TASE at the blade edges. The smoothness of robotic joint-motion with TAI at the blade edges is improved by over 60% than that without TAI."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Nanotechnology - N anoparticles. According to news reporting originating in Los Angeles, California , by NewsRx journalists, research stated, "Colloidal platinum nanoparticles (Pt NPs) possess a myriad of technologically relevant applications. A potentially su stainable route to synthesize Pt NPs is via polyol reduction in ionic liquid (IL ) solvents; however, the development of this synthetic method is limited by the fact that reaction kinetics have not been investigated." Financial supporters for this research include Alliance for Sustainable Energy, LLC, USC Office of Research and Innovation President's Sustainability Initiative Large Program Award, King Abdulaziz University. The news reporters obtained a quote from the research from the University of Sou thern California (USC), "In-line analysis in a flow reactor is an appealing appr oach to obtain such kinetic data; unfortunately, the optical featurelessness of Pt NPs in the visible spectrum complicates the direct analysis of flow chemistry products via ultraviolet-visible (UV-vis) spectrophotometry. Here, we report a machine learning (ML)-based approach to analyze in-line UV-vis spectrophotometri c data to determine Pt NP product concentrations. Using a benchtop flow reactor with ML-interpreted in-line analysis, we were able to investigate NP yield as a function of residence time for two IL solvents: 1-butyl-1-methylpyrrolidinium tr iflate (BMPYRR-OTf) and 1-butyl-2-methylpyridinium triflate (BMPY-OTf). While th ese solvents are structurally similar, the polyol reduction shows radically diff erent yields of Pt NPs depending on which solvent is used. The approach presente d here will help develop an understanding of how the subtle differences in the m olecular structures of these solvents lead to distinct reaction behavior. The ac curacy of the ML prediction was validated by particle size analysis and the erro r was found to be as low as 4%."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in artificial intelligence. According to news reporting from Leipzig, Germany, by N ewsRx journalists, research stated, "Portable visible-to-near-infrared (VNIR) an d mid-infrared (MIR) spectroscopy coupled with machine learning can provide deta iled and inexpensive information on various key soil properties. However, on-sit e VNIR and MIR proximal sensing applications are hampered by soil moisture and p article size variations, which distort reflectance spectra collected on field-co ndition soils and impede the integration of established MIR and VNIR soil spectr al libraries in predictive models for field measurements."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Support Vector Machine s is the subject of a report. According to news originating from Shijiazhuang, P eople's Republic of China, by NewsRx correspondents, research stated, "This stud y aimed to investigate whether contrast-enhanced computed tomography (CECT) base d radiomics analysis could noninvasively predict the perineural invasion (PNI) i n esophageal squamous cell carcinoma (ESCC). 398 patients with ESCC who underwen t resection between February 2016 and March 2020 were retrospectively enrolled i n this study." Our news journalists obtained a quote from the research from the Fourth Hospital of Hebei Medical University, "Patients were randomly divided into training and testing cohorts in a 7:3 ratio. Radiomics analysis was performed on the arterial phase images of CECT scans. From these images, 1595 radiomics features were ini tially extracted. The intraclass correlation coefficient (ICC), wilcoxon rank-su m test, spearman correlation analysis, and boruta algorithm were used for featur e selection. Logistic regression (LR), random forest (RF), and support vector ma chine (SVM) models were established to preidict the PNI status. The performance of these radiomics models was assessed by the area under the receiver operating characteristic curve (AUC). Decision curve analysis (DCA) was conducted to evalu ate their clinical utility. Six radiomics features were retained to build the ra diomics models. Among these models, the random forest (RF) model demonstrated su perior performance. In the training cohort, the AUC value of the RF model was 0. 773, compared to 0.627 for the logistic regression (LR) model and 0.712 for the support vector machine (SVM) model. Similarly, in the testing cohort, the RF mod el achieved an AUC value of 0.767, outperforming the LR model at 0.638 and the S VM model at 0.683. Decision curve analysis (DCA) suggested that the RF radiomics model exhibited the highest clinical utility. CECT-based radiomics analysis, pa rticularly utilizing the RF, can noninvasively predict the PNI in ESCC preoperat ively."
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