查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting out of Via Manzoni, Italy, by NewsRx editors, research stated, “Lumbar spine fixation and fusion is currently perfor med with intraoperative tools such as intraoperative CT scan integrated to navig ation system to provide accurate and safe positioning of the screws.” Our news journalists obtained a quote from the research from IRCCS Humanitas Res earch Hospital, “The use of microscopic visualization systems enhances visualiza tion and accuracy during decompression of the spinal canal as well. We introduce a novel setting in microsurgical decompression and fusion of lumbar spine using an exoscope with robotized arm (RoboticScope) interfaced with navigation and he ad mounted displays.”
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 originating in Nanjing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Vascular calcifi cation (VC) significantly increases the incidence and mortality rates of cardiov ascular diseases, severely threatening public health as a global issue. Currentl y, there are no effective methods to prevent and treat vascular calcification.” The news reporters obtained a quote from the research from Southeast University, “This study proposes a machine learning-assisted surface-enhanced Raman scatter ing (SERS) technique for label-free, highly sensitive analysis of VC rat serum. We prepared gold nanobipyramid (GNBP) substrates using seedmediated and liquid- liquid interface self-assembly methods and measured the SERS spectra of the seru m. The collected spectral data were processed using a Principal Component Analys is (PCA)-Linear Discriminant Analysis (LDA) model to achieve effective sample di fferentiation. In this analysis model, GNBP substrates enabled rapid, sensitive, and label-free serum spectral detection, achieving classification accuracy, sen sitivity, and specificity of 96.0%, and an AUC value of 0.98, signi ficantly outperforming currently used machine learning methods. By analyzing the PCA loading plots, key spectral features that distinguished VC were successfull y captured.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news originating from Macau, People’s Republic of China, by NewsRx correspondents, research stated, “Boron neutron ca pture therapy (BNCT) is a highly targeted, selective and effective technique to cure various types of cancers, with less harm to the healthy cells. In principle , BNCT treatment needs to distribute the boron (B) atoms inside the tumor tissue s, selectively and homogeneously, as well as to initiate a nuclear fission react ion by capturing sufficient neutrons which releases high linear energy particles to kill the tumor cells.”
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 Ro botics. According to news reporting originating in Liberec, Czech Republic, by N ewsRx editors, the research stated, “Companies that frequently use robotic proce ss automation often encounter difficulties in maintaining their RPA portfolio. T o address these problems and reduce time spent investigating erratic behavior of RPA bots, developers can benefit from exploring methods from process sciences a nd applying them to RPA.” Financial supporters for this research include Technical University of Liberec, SGS, Pointee.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news reporting from Tehran, Iran, by NewsRx journal ists, research stated, “Vibration-driven robots constitute an innovative paradig m for achieving locomotion, leveraging periodic vibrations to meticulously contr ol the movement of an internal mass, thus affording them a high degree of precis ion while navigating surfaces with varying friction characteristics.” Our news journalists obtained a quote from the research from Shahid Beheshti Uni versity: “This paper is dedicated to the refinement of trajectory tracking in pl anar vibration-driven robots, achieved through the meticulous design and impleme ntation of a Proportional-Integral-Derivative (PID) controller and Sliding Mode Controller (SMC). The considered vibration-driven robot is propelled using two p arallel reciprocating unbalanced masses which allows the robot to have various m aneuvers in two dimensions. The movement of the robot is improved by employing b ristles to make non-isotropic Coloumb’s friction on the surfaces. At first, the governing dynamic equations of the robot are derived by considering the stick-sl ip effect and using the Euler-Lagrange method. Moreover, a PID controller for ac curate trajectory tracking within the robot’s natural coordinate system is desig ned and employed. The fine-tuning of the PID controller’s coefficients is accomp lished through the application of the NSGA-II optimization method.”
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 robotic s. According to news reporting originating from Sao Paulo State University (UNES P) by NewsRx correspondents, research stated, “The present study aimed to compar e the efficiency of different pens and animal flow configuration layouts in free stall pens using a robotic milking system (RMS) with guided flow based on the be havioral patterns of multiparous lactating Holstein dairy cows in a commercial f arm. The behavior of 24 cows in freestall pens was evaluated, divided into 4 dif ferent stall configurations: original (OR), conversion (CVS), toll-booth I (TBI) , and toll-booth II (TBII), each featuring distinct circulation layouts with dif ferent configurations of location, position, and number of guided-flow RMS equip ment, feed bunk, water trough, commitment pen, sand beds, sorting gates, and one -way gate.” Financial supporters for this research include Conselho Nacional De Desenvolvime nto Cientifico E Tecnologico.
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 artificial intelligence is now available. According to news reporting originating from Tehran, Iran, by NewsRx correspondents, research stated, “Active matter systems, being in a non- equilibrium state, exhibit complex behaviors, such as self-organization, giving rise to emergent phenomena.” Financial supporters for this research include Iran National Science Foundation. The news correspondents obtained a quote from the research from Shahid Beheshti University: “There are many examples of active particles with biological origins , including bacteria and spermatozoa, or with artificial origins, such as self-p ropelled swimmers and Janus particles. The ability to manipulate active particle s is vital for their effective application, e.g., separating motile spermatozoa from nonmotile and dead ones, to increase fertilization chance. In this study, w e proposed a mechanism-an apparatus-to sort and demix active particles based on their motility values (Peclet number). Initially, using Brownian simulations, we demonstrated the feasibility of sorting self-propelled particles. Following thi s, we employed machine learning methods, supplemented with data from comprehensi ve simulations that we conducted for this study, to model the complex behavior o f active particles. This enabled us to sort them based on their Peclet number.”
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 Machine Learning. According to news reporting originating in Tiruchirappalli, India, by NewsRx journalists, research stated, “This research paper presents a study on p redicting the compressive strength of self-compacting concrete (SCC) containing glass aggregate. A stacked ensemble approach was employed, which is a method of combining multiple models to improve the overall performance.” The news reporters obtained a quote from the research from Anna University, “The ensemble consisted of gradient boosting, extreme gradient boost, random forest, and K-nearest neighbors regressors as base learners, and linear regression as t he glass aggregates (FGA), coarse aggregates, coarse glass aggregates (CGA), and superplasticizer were taken as input variables and compressive strength as outp ut variables. The hyperparameters of the base learners were optimized using tree based pipeline optimization (TPOT). The ensemble’s accuracy was evaluated using the K-fold cross-validation technique and statistical metrics. The performance of the stacked ensemble models is found to be better than other machine learning models. Permutation feature importance was used to determine the importance of the features in predicting compressive strength. The results demonstrate that th e stacked ensemble approach with R2 = 0.9866, RMSE = 1.4730, and MAE = 1.0692 pe rformed better than the individual base learners and the other machine learning models.”
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 - Colon Cance r is the subject of a report. According to news reporting out of Shanxi, People’ s Republic of China, by NewsRx editors, research stated, “With the continuous ad vancements in precision medicine and the relentless pursuit of minimally invasiv e techniques, Natural Orifice Specimen Extraction Surgery (NOSES) has emerged. C ompared to traditional surgical methods, NOSES better embodies the principles of minimally invasive surgery, making scar-free operations possible.” Our news journalists obtained a quote from the research from the Third Hospital of Shanxi Medical University, “In recent years, with the progress of science and technology, Robot-Assisted Laparoscopic Surgery has been widely applied in the treatment of colorectal cancer. Robotic surgical systems, with their clear surgi cal view and high operational precision, have shown significant advantages in th e treatment process. To further improve the therapeutic outcomes for colorectal cancer patients, some scholars have attempted to combine robotic technology with NOSES. However, like traditional open surgery or laparoscopic surgery, the use of the robotic platform presents both advantages and limitations.”
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 artificial intelligence is now available. According to news originating from Yongin, South Korea, by Ne wsRx correspondents, research stated, “Existing etch endpoint detection (EPD) me thods, primarily based on single wavelengths, have limitations, such as low sign al-to-noise ratios and the inability to consider the long-term dependencies of t ime series data.” Financial supporters for this research include National Research Council of Scie nce & Technology; Plasma E.I. Conversion Research Center. The news journalists obtained a quote from the research from Myongji University: “To address these issues, this study proposes a context of time series data usi ng long short-term memory (LSTM), a kind of recurrent neural network (RNN). The proposed method is based on the time series data collected through optical emiss ion spectroscopy (OES) data during the SiO2 etching process. After training the LSTM model, the proposed method demonstrated the ability to detect the etch endp oint more accurately than existing methods by considering the entire time series .”
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