查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Cancer is the subject of a report. According to news reporting originating from Salt Lake City, Utah, by NewsRx correspondents, research stated, “Immunohistochemistry (IHC) is used t o guide treatment decisions in multiple cancer types. For treatment with checkpo int inhibitors, PD-L1 IHC is used as a companion diagnostic.” Our news editors obtained a quote from the research from the University of Utah, “However, the scoring of PD-L1 is complicated by its expression in cancer and i mmune cells. Separation of cancer and non-cancer regions is needed to calculate tumor proportion scores (TPS) of PD-L1, which is based on the percentage of PD-L 1 positive cancer cells. Evaluation of PD-L1 expression requires highly experien ced pathologists and is often challenging and time consuming. Here we used a mul ti-institutional cohort of 77 lung cancer cases stained centrally with the PD-L1 22C3 clone. We developed a four-step pipeline for measuring TPS that includes t he co-registration of H&E, PD-L1 and negative control (NC) digital slides for exclusion of necrosis, segmentation of cancer regions and quantificat ion of PD-L1+ cells. As cancer segmentation is a challenging step for TPS genera tion, we trained DeepLab V3 in the Visiopharm software package to outline cancer regions in PD-L1 and negative control (NC) images and evaluated the model perfo rmance by mean intersection over union (mIoU) against manual outlines. Only 14 c ases were required to accomplish an mIoU of 0.82 for cancer segmentation in hema toxylin stained NC cases. For PD-L1 stained slides, a model trained on PD-L1 til es augmented by registered NC tiles achieved an mIoU of 0.79. In segmented cance r regions from whole slide images, the digital TPS achieved an accuracy of 75 % against the manual TPS scores from the pathology report. Major reasons for algor ithmic inaccuracies include the inclusion of immune cells in cancer outlines and poor nuclear segmentation of cancer cells.”
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. Study 1 investigates the effect of immersive AI (vs traditional hospitality) on custo mers’ behavioral intentions and the need for differentiation using virtual-assis ted reality.” Financial support for this research came from Fundacao para a Ciencia e a Tecnol ogia (FCT).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Surgery - Prostatectom y is the subject of a report. According to news originating from Milan, Italy, b y NewsRx correspondents, research stated, “It is unknown whether perioperative a nd functional outcomes of Retzius-sparing robot-assisted radical prostatectomy ( RS-RARP) may be affected by large prostate sizes (PS). All patients treated with RS-RARP were identified and compared according to PS.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Research findings on Machine Learning are discussed in a new report. According to news reporting from Graz, Austria, b y NewsRx journalists, research stated, “Mesh degeneration is a bottleneck for fl uid-structure interaction (FSI) simulations and for shapeoptimization via the me thod of mappings. In both cases, an appropriate mesh motion techniqueis required .” The news correspondents obtained a quote from the research from Karl-Franzens-Un iversity, “The choice is typically based on heuristics, e.g., the solution opera tors of partialdifferential equations (PDE), such as the Laplace or biharmonic e quation. Especially the latter,which shows good numerical performance for large displacements, is expensive. Moreover,from a continuous perspective, choosing th e mesh motion technique is to a certain extentarbitrary and has no influence on the physically relevant quantities. Therefore, we considerapproaches inspired by machine learning. We present a hybrid PDE-NN approach, where theneural network (NN) serves as parameterization of a coefficient in a second order nonlinearPDE. We ensure existence of solutions for the nonlinear PDE by the choice of the neu ralnetwork architecture. Moreover, we present an approach where a neural network corrects theharmonic extension such that the boundary displacement is not chang ed. In order to avoidtechnical difficulties in coupling finite element and machi ne learning software, we work witha splitting of the monolithic FSI system into three smaller subsystems. This allows to solve themesh motion equation in a sepa rate step. We assess the quality of the learned mesh motiontechnique by applying it to a FSI benchmark problem.”
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 artificial intell igence have been published. According to news reporting from Islamabad, Pakistan , by NewsRx journalists, research stated, “Electrical load forecasting remains a n ongoing challenge due to various factors, such as temperature and weather, whi ch change day by day. In this age of Big Data, efficient handling of data and ob taining valuable information from raw data is crucial.”
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 . According to news originating from the University of Malaya by NewsRx correspond ents, research stated, “As climate change increases the risk of extreme rainfall events, concerns over flood management have also increased.” Our news correspondents obtained a quote from the research from University of Ma laya: “To recover quickly from flood damage and prevent further consequential da mage, flood waste prediction is of utmost importance. Therefore, developing a ra pid and accurate prediction of flood waste generation is important in order to r educe disaster. Several approaches of flood waste classification have been propo sed by various researchers, however only a few focus on prediction of flood wast e. In this study, a Long Short-Term Memory (LSTM) and Support Vector Machine (SV M) approach is adapted to address these challenges. Two different raw datasets w ere obtained from the ‘Advancing Sustainable Materials Management: Facts and Fig ures 2015’ source. The datasets were for 9 years (1960, 1970, 1980, 1990, 2000, 2005, 2010, 2014, 2015), and are labelled as the materials generated in the Muni cipal Waste Stream from 1960 to 2015 and the materials Recycled and Composted in Municipal Solid Waste from 1960 to 2015.”
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 artificial intell igence have been published. According to news originating from the Universidad T ecnica Estatal de Quevedo by NewsRx correspondents, research stated, “College co ntext and academic performance are important determinants of academic success; u sing students’ prior experience with machine learning techniques to predict acad emic success before the end of the first year reinforces college self-efficacy.”
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 - Androids is the subject of a report. According to news reporting originating in Beijing, Pe ople’s Republic of China, by NewsRx journalists, research stated, “Various cogni tive systems have been designed to model the position and stiffness profiles of human behavior and then to drive robots by mimicking the human’s behavior to acc omplish physical humanrobot interaction tasks through a properly designed imped ance controller. However, some studies have shown that variable stiffness parame ters of the impedance controller can cause the violation of the passivity constr aint of the robot states, and make the robot’s stored energy exceed the external energy injected from the human user, thus leading to the unsafe human-robot int eraction.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Data detailed on Robotics have been pr esented. According to news reporting from Changchun, People’s Republic of China, by NewsRx journalists, research stated, “For the application background of phys ical human robot interaction (pHRI), a novel decentralized position/torque contr ol scheme of modular robot manipulators (MRMs) is developed based on the human m otion intention identification in this investigation. Different from traditional control schemes which are oriented to pHRI tasks depending on the biological si gnal or the multisensory, the developed decentralized position/torque control is realized by utilizing only position measurements of each joint module in this p aper.”
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 Robotics have been published. According to news reporting originating in Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “At present, human -r obot collaboration systems usually focus on robot followership and only achieve one-way system feedback. To make robots proactively collaborate with humans in u nstructured and unknown scenarios and achieve the transition from ‘Follower’ to ‘Collaborator’, a robot proactive collaborative controller based on human multim odal information is proposed, which integrates a motion planning controller (MPC ) for predicting human arm motion and a reaction controller (RC) for learning hu man perception and variable impedance behavior.”
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