查看更多>>摘要：Researchers detail new data in Robotics - Robotics and Automation. According to news reporting out of Piscataway, New Jersey, by NewsRx editors, research stated, “Foot slip is one of the leading causes of fall-related injuries during human walking. The underlying slip dynamics help understand bipedal recoverability under gait perturbation and therefore provide a tool to design proactive slip-induced fall prevention strategies.” Financial support for this research came from National Science Foundation (NSF). Our news journalists obtained a quote from the research from the Rutgers University - The State University of New Jersey, “We present a new integrated wearable sensing and exoskeleton-enabled fall prevention under unexpected foot slip. The real-time slip detection is realized with a set of small, wearable inertial measurements units on both legs. We use the balance recoverability and inter-limb coordination analyses to design the balance recovery strategies. The bilateral knee exoskeleton provides assistive torque control and helps walker to follow the designed gait recovery strategies. Multiple subject experiments are presented to demonstrate the exoskeleton-enabled recovery under foot slip. Various critical metrics, including slip distance, velocity, swing leg touch-down time, are systematically compared to assess the efficacy of both the exoskeleton and the controller.”
查看更多>>摘要：Research findings on are discussed in a new report. According to news originating from Dalian, People’s Republic of China, by NewsRx editors, the research stated, “The key to reducing operation and maintenance costs and improving reliability is to evaluate the condition and fault detection methods of ship ballast water systems.” Financial supporters for this research include Innovation Engineering of The Offshore Liquefied Natural Gas Equipment Industry Chain; Development of Liquid Cargo And Electromechanical Simulation Operation System For Liquefied Natural Gas Ship. The news correspondents obtained a quote from the research from Dalian Maritime University: “To reduce the impact of support vector machine (SVM) parameter uncertainty and improve the accuracy of ship ballast water system fault diagnosis models, this paper proposes a multi-strategy collaborative improved sparrow search algorithm (ISSA) to optimize the parameters of SVM for fault diagnosis. First, ISSA initializes the population using tent chaotic maps to improve spatial distribution uniformity and stabilize the population quality. Second, the discoverer in the algorithm adopts an adaptive weighting strategy to avoid falling into local optima and accelerate the convergence speed. Finally, the follower position introduces mutation strategies and chaotic perturbations to enhance local evolution capabilities and improve the utilization of search areas. The experimental results show that compared with sparrow search algorithm (SSA), particle swarm optimization algorithm (PSO), genetic Algorithm (GA), whale optimization algorithm (WOA), and grey wolf optimization algorithm (GWO), ISSA can obtain better optimal solutions at the fastest convergence rate on the benchmark test function. On the dataset of the ship ballast water system, the ISSA-SVM fault diagnosis model proposed in this paper has the best classification performance, with an average accuracy of 97.44%.”
查看更多>>摘要：New research on Oncology - Cervical Cancer is the subject of a report. According to news reporting out of Essen, Germany, by NewsRx editors, research stated, “ The aim of this study was to investigate the potential of multiparametric F-FDG PET/MR imaging as a platform for radiomics analysis and machine learning algorithms based on primary cervical cancers to predict N- and M-stage in patients. A total of 30 patients with histopathological confirmation of primary and untreated cervical cancer were prospectively enrolled for a multiparametric F-FDG PET/MR examination, comprising a dedicated protocol for imaging of the female pelvis.” Our news journalists obtained a quote from the research from University Hospital Essen, “The primary tumor in the uterine cervix was manually segmented on post-contrast T1-weighted images. Quantitative features were extracted from the segmented tumors using the Radiomic Image Processing Toolbox for the R software environment for statistical computing and graphics. 45 different image features were calculated from non-enhanced as well as post-contrast T1-weighted TSE images, T2-weighted TSE images, the ADC map, the parametric Ktrans, Kep, Ve and iAUC maps and PET images, respectively. Statistical analysis and modeling was performed using Python 3.5 and the scikit-learn software machine learning library for the Python programming language. Prediction of M-stage was superior when compared to N-stage. Prediction of M-stage using SVM with SVM-RFE as feature selection obtained the highest performance providing sensitivity of 91 % and specificity of 92 %. Using receiver operating characteristic (ROC) analysis of the pooled predictions, the area under the curve (AUC) was 0.97. Prediction of N-stage using RBF-SVM with MIFS as feature selection reached sensitivity of 83 %, specificity of 67 % and an AUC of 0.82.”
查看更多>>摘要：Investigators publish new report on Robotics. According to news reporting originating from Izhevsk, Russia, by NewsRx correspondents, research stated, “This paper treats the problem of a spherical robot with an axisymmetric pendulum driverolling without slipping on a vibrating plane.” Financial support for this research came from Ministry of Science and Higher Education of Russia. Our news editors obtained a quote from the research from Udmurt State University, “The main purpose of the paper isto investigate the stabilization of the upper vertical rotations of the pendulumusing feedback (additional control action). For the chosen type of feedback,regions of asymptotic stability of the upper vertical rotations of the pendulum are constructedand possible bifurcations are analyzed.” According to the news editors, the research concluded: “Special attention is also given to the question ofthe stability of periodic solutions arising as the vertical rotations lose stability.”
查看更多>>摘要：New research on Oncology - Liver Cancer is the subject of a report. According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Exosome metabolite-based liquid biopsy is a promising strategy for large-scale application in practical clinics toward precise medicine. Given the current challenges in successive isolation and analysis of exosomes and their metabolites in this field, we established a low-cost, high-throughput, and rapid platform for serological exosome metabolic biopsy of hepatocellular carcinoma (HCC) via designed core-shell nanoparticles.” Our news journalists obtained a quote from the research from Fudan University, “It starts with the efficient extraction of high-quality serum exosomes and exosome metabolic features, based on which significantly obvious sample clusters are observed by unsupervised cluster analysis. The following integration of feature selection and supervised machine learning enables the identification of six key metabolites and achieves high-performance prediction between HCC, liver cirrhosis, and healthy controls. Specifically, both sensitivity and accuracy achieve 100% among any pairwise intergroup discrimination in a blind test. The quality and reliability of six key metabolites are further evaluated and validated by using different machine learning algorithms and pathway exploration.”
查看更多>>摘要：Investigators publish new report on artificial intelligence. According to news reporting out of University Park, Pennsylvania, by NewsRx editors, research stated, “The rapid progress of Artificial intelligence in generative modeling is marred by widespread misuse.” The news editors obtained a quote from the research from Pennsylvania State University (Penn State): “In response, researchers turn to use-based restrictions-contractual terms prohibiting certain uses-as a “solution” for abuse. While these restrictions can be beneficial to artificial intelligence governance in APIgated settings, their failings are especially significant in open-source models: not only do they lack any means of enforcement, but they also perpetuate the current proliferation of tokenistic efforts toward ethical artificial intelligence.”
查看更多>>摘要：Data detailed on robotics have been presented. According to news reporting originating from Sao Paulo, Brazil, by NewsRx correspondents, research stated, “Most studies regarding models of tensegrity systems miss the possibility of large static deformations or provide elaborate and lengthy solutions to determine the system dynamics.” Funders for this research include Conselho Nacional De Desenvolvimento Cientifico E Tecnologico. Our news journalists obtained a quote from the research from State University Campinas: “Contrarily, this work presents a straightforward methodology to find the dynamic characteristics of a guyed tensegrity beam structure, allowing the application of vibration control strategies in conditions of large deformations. The methodology is based on a low-order, adaptive, nonlinear finite element model with pre-stressed components. The method is applied to numerical and experimental models of a class 2 tensegrity structure with a high length-to-width aspect ratio.”
查看更多>>摘要：A new study on robotics is now available. According to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “At present, aircraft radome coating cleaning mainly relies on manual and chemical methods.” Financial supporters for this research include Hubei Natural Science Foundation; Wuhan Key Research And Development Plan. The news editors obtained a quote from the research from Hubei University of Technology: “In view of this situation, this study presents a trajectory planning method based on a three-dimensional (3D) surface point cloud for a laser-enabled coating cleaning robot. An automated trajectory planning scheme is proposed to utilize 3D laser scanning to acquire point cloud data and avoid the dependence on traditional teaching-playback paradigms. A principal component analysis (PCA) algorithm incorporating additional principal direction determination for point cloud alignment is introduced to facilitate subsequent point cloud segmentation. The algorithm can adjust the coordinate system and align with the desired point cloud segmentation direction efficiently and conveniently. After preprocessing and coordinate system adjustment of the point cloud, a projection-based point cloud segmentation technique is proposed, enabling the slicing division of the point cloud model and extraction of cleaning target positions from each slice. Subsequently, the normal vectors of the cleaning positions are estimated, and trajectory points are biased along these vectors to determine the end effector’s orientation.”
查看更多>>摘要：New research on Oncology - Cholangiocarcinoma is the subject of a report. According to news reporting originating in Barcelona, Spain, by NewsRx journalists, research stated, “Perihilar cholangiocarcinoma is a challenging technique to be performed by minimally invasive approach being the type III among the most complex procedure. Nowadays, the robotic approach is gaining increasing interest among the surgical community, and more and more series describing robotic liver resection have been reported.” Financial support for this research came from Universitat Pompeu Fabra. The news reporters obtained a quote from the research from Pompeu Fabra University, “However, few cases of minimally invasive Bismuth type IIIA cholangiocarcinoma have been reported. Robotic approach allows for a better dissection and suture thanks to the flexible and precise instruments movements, overcoming some of the limitations of the laparoscopic technique. Therefore, robotic technique can facilitate some of the critical steps of a technically demanding procedure, such as the extended right hepatectomy for perihilar cholangiocarcinoma Bismuth IIIA type. In this multimedia video we describe, for the first time in the literature, a full robotic surgical step-by-step technique with some tips and tricks for treating a perihilar cholangiocarcinoma Bismuth IIIA type, performing a radical extended right hemihepatectomy, including segment I combined with regional lymphadenectomy anf left bile duct reconstruction. A 55-yearold woman with obstructive jaundice (10 mg/dl) was referred to our center. The endobiliary brushing confirmed adenocarcinoma, and MRI/CT showed a focal perihilar lesion of 2 cm, including the main biliary duct bifurcation and extending up to the right duct (Bismuth Type IIIA hilar cholangiocarcinoma). After endoscopic biliary stents placement and 6 weeks after right portal vein embolization, the future liver remnant, including segments Ⅱ and III, reached an enough hypertrophy volume with a ratio of 30%. A right hemihepatectomy with caudate lobe, including standard standard lymphadenectomy and left biliary duct reconstruction was performed. The operation lasted 670 min with an estimated blood loss of 350 ml. Postoperative pathological examination revealed a moderately differentiated adenocarcinoma pT1N0 with 15 retrieved nodes and free margins. The patient experienced a type A biliary fistula and was discharged on the 21st postoperative day without abdominal drainage.”
查看更多>>摘要：Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Bandung, Indonesia, by NewsRx editors, research stated, “The market for electric vehicles (EVs) has been growing in popularity, and by 2027, it is predicted that the market valuation will reach $869 billion. To support the growth of EVs in public road safety, advances in battery safety research for EV application should achieve low-cost, lightweight, and high safety protection.” The news journalists obtained a quote from the research from Institut Teknologi Bandung (ITB): “In this research, the development of a lightweight, crashworthy battery protection system using an excellent energy absorption capability is carried out. The lightweight structure was developed by using metastructure constructions with an arrangement of repeated lattice cellular structures. Three metastructure configurations (bi-stable, star-shaped, double-U) with their geometrical variables (thickness, inner spacing, cell stack) and material types (stainless steel, aluminium, and carbon steel) were evaluated until the maximum Specific Energy Absorptions (SEA) value was attained. The Finite Element Method (FEM) is utilised to simulate the mechanics of impact and calculate the optimum SEA of the various designs using machine learning methodology. Latin Hypercube Sampling (LHS) was used to derive the design variation by dividing the variables into 100 samples. The machine learning optimisation method utilises the Artificial Neural Networks (ANN) and Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to forecast the design that produces maximum SEA. The optimum control variables are star-shaped cells consisting of one vertical unit cell using aluminium material with a cross-section thickness of 2.9 mm. The optimum design increased the SEA by 5577% compared to the baseline design. The accuracy of the machine learning prediction is also verified using numerical simulation with a 2.83% error.”
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