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    Department of Informatics Reports Findings in Esophageal Cancer (Layer-selective deep representation to improve esophageal cancer classification)

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    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-Esophageal Cancer is the subject of a report. According to news reporting originating from Vitoria, Brazil, by NewsRx correspondents, research stated, "Even though artific ial intelligence and machine learning have demonstrated remarkable performances in medical image computing, their accountability and transparency level must be improved to transfer this success into clinical practice. The reliability of mac hine learning decisions must be explained and interpreted, especially for suppor ting the medical diagnosis." Our news editors obtained a quote from the research from the Department of Infor matics, "For this task, the deep learning techniques' black-box nature must some how be lightened up to clarify its promising results. Hence, we aim to investiga te the impact of the ResNet-50 deep convolutional design for Barrett's esophagus and adenocarcinoma classification. For such a task, and aiming at proposing a t wo-step learning technique, the output of each convolutional layer that composes the ResNet-50 architecture was trained and classified for further definition of layers that would provide more impact in the architecture. We showed that local information and high-dimensional features are essential to improve the classifi cation for our task."

    Research on Robotics Detailed by Researchers at College of Mechanical and Electr ical Engineering (Research on Modeling and Motion Optimization for an Underactua ted Bionic Scorpion Robot Arm)

    2-2页
    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 from the College of Mec hanical and Electrical Engineering by NewsRx correspondents, research stated, "F lexible screen possessing a high-contrast ratio to accomplish high-definition di splay can be attributed to the accuracy of polarizer assembly." Financial supporters for this research include Key Science And Technology Resear ch Project of Henan Province. Our news correspondents obtained a quote from the research from College of Mecha nical and Electrical Engineering: "Different from the existing polarizer attache d onto a flexible screen, resulting in low-accuracy and nonalignment attaching b ehaviors, a unique approach of underactuated bionic scorpion robot arms can be d eveloped to explore the stable capture and accurate alignment motion operations. Overall structure design and D-H kinematic simulation of bionic scorpion robot arm can be conducted to analyze virtual three-key typical motions. Motion optimi zation of structural parameters and corresponding motion workspaces verification can be adopted to evaluate motion range and ability. Experiments can be utilize d to verify the rationality of theoretical modeling and optimization simulation of bionic scorpion robot arm. Experimental results illustrate that it is evident to demonstrate that the motion behaviors of bionic scorpion robot arm can be ve rified to be consistent with three key states of virtual theoretical motions. Th e key joints possessing minor errors may also be utilized to illustrate the rela tively excellent dynamic motions existing in bionic scorpion robot arm."

    Findings from Chinese Academy of Sciences Reveals New Findings on Machine Learni ng (Machine Learning Accelerated Discovery of Superconducting Two-dimensional Ja nus Transition Metal Sulfhydrates)

    3-3页
    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 Ma chine Learning. According to news reporting from Beijing, People's Republic of C hina, by NewsRx journalists, research stated, "The MoSH monolayer, one of the Ja nus transition metal sulfhydrates synthesized by stripping the top -layer S of M oS 2 and replacing it with H atoms [Wan et al. , ACS Nano 15 , 20319 (2021)], has been predicted to host strong coupling t wo -gap superconductivity with a calculated critical temperature T c of about 28 .58 K at atmospheric pressure. In this work, by using machine learning aided hig h -throughput calculations, we narrow down 180 possible configurations of two-di mensional Janus transition metal sulfhydrates ( MX H monolayers, where M = trans ition metal group elements and X = S, Se, and Te) to 20 stable metals." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Guangdong Basic and Applied Basic Research Foundation.

    Researcher at Indian Institute of Technology Indore Releases New Data on Support Vector Machines (Semi-Supervised Approach Using Transductive Support Vector Mac hine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder)

    4-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on are presented in a new r eport. According to news reporting out of Madhya Pradesh, India, by NewsRx edito rs, research stated, "Hydraulic cylinders with higher stages of extraction are e xtensively used in earthmoving and heavy machines due to their longer stroke, sh orter retracted length, and high-end performance." Our news journalists obtained a quote from the research from Indian Institute of Technology Indore: "The rigorous and long hours of operations make cylinders pr one to internal leakage, which visually remains unnoticeable. This paper present s the conceptualization and realization of a newly developed 210 bar high-pressu re hydraulic test rig actuated by a two-stage hydraulic cylinder. Experiments ha ve been carried out to acquire pressure signals for two different leakage condit ions (3% and 5% for moderate and severe leakages res pectively) in the ramp wave motion of the cylinder. A decline in the working pre ssure and the piston velocity by approximately 10% and 45% for these leakage conditions respectively is noted. The time-frequency analysis infers these signals contain low-frequency components."

    Recent Findings in Robotics Described by a Researcher from Henan University of S cience and Technology (Active Collision Avoidance for Robotic Arm Based on Artif icial Potential Field and Deep Reinforcement Learning)

    4-5页
    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 is the subjec t of a new report. According to news reporting out of Luoyang, People's Republic of China, by NewsRx editors, research stated, "To address the local minimum iss ue commonly encountered in active collision avoidance using artificial potential field (APF), this paper presents a novel algorithm that integrates APF with dee p reinforcement learning (DRL) for robotic arms." The news journalists obtained a quote from the research from Henan University of Science and Technology: "Firstly, to improve the training efficiency of DRL for the collision avoidance problem, Hindsight Experience Replay (HER) was enhanced by adjusting the positions of obstacles, resulting in Hindsight Experience Repl ay for Collision Avoidance (HER-CA). Subsequently, A robotic arm collision avoid ance action network model was trained based on the Twin Delayed Deep Determinist ic Policy Gradient (TD3) and HER-CA methods. Further, a full-body collision avoi dance potential field model of the robotic arm was established based on the arti ficial potential field. Lastly, the trained action network model was used to gui de APF in real-time collision avoidance planning. Comparative experiments betwee n HER and HER-CA were conducted."

    Reports from Tianjin University of Traditional Chinese Medicine Advance Knowledg e in Machine Learning (Efficient and Nondestructive Classification of Lily Bulb s By Laser-induced Breakdown Spectroscopy Combined With Machine Learning Methods )

    5-6页
    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 Machine Learn ing have been published. According to news reporting out of Tianjin, People's Re public of China, by NewsRx editors, research stated, "The study presented here i s a pioneering attempt to utilize Laser-Induced Breakdown Spectroscopy (LIBS) fo r the non-destructive testing and classification of lily bulbs. Given the comple xities and time-consuming nature of traditional classification methods based on organic matter content detection, the gradual adoption of spectral technologies as an alternative tool is timely."Funders for this research include Innovation Team and Talents Cultivation Progra m of National Administration of Traditional Chinese Medicine, National Natural S cience Foundation of China (NSFC), Science and Technology Program of Tianjin, Sc ience and Tech- nology Project of Haihe Laboratory of Modern Chinese Medicine.

    Cancer Hospital Reports Findings in Artificial Intelligence (Clinically Applicab le Pan-Origin Cancer Detection for Lymph Nodes via Artificial Intelligence-Based Pathology)

    6-7页
    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 Beijing, People 's Republic of China, by NewsRx correspondents, research stated, "Lymph node met astasis is one of the most common ways of tumour metastasis. The presence or abs ence of lymph node involvement influences the cancer's stage, therapy, and progn osis." Our news journalists obtained a quote from the research from Cancer Hospital, "T he integration of artificial intelligence systems in the histopathological diagn osis of lymph nodes after surgery is urgent. Here, we propose a pan-origin lymph node cancer metastasis detection system. The system is trained by over 700 whol e-slide images (WSIs) and is composed of two deep learning models to locate the lymph nodes and detect cancers. It achieved an area under the receiver operating characteristic curve (AUC) of 0.958, with a 95.2% sensitivity and 72.2% specificity, on 1,402 WSIs from 49 organs at the National C ancer Center, China. Moreover, we demonstrated that the system could perform rob ustly with 1,051 WSIs from 52 organs from another medical centre, with an AUC of 0.925."

    Nanjing University of Chinese Medicine Reports Findings in Hematoma [Application of Robotic Stereotactic Assistance (ROSA) for spontaneous intracereb ral hematoma aspiration and thrombolytic catheter placement]

    7-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Hematoma is the subjec t of a report. According to news reporting out of Nanjing, People's Republic of China, by NewsRx editors, research stated, "Spontaneous intracerebral hemorrhage (ICH) accounts for up to 20% of all strokes and results in 40% mortality at 30 days. Although conservative medical management is still the stan dard treatment for ICH patients with small hematoma, patients with residual hema toma 15 mL after surgery are associated with better functional outcomes and surv ival rates." Our news journalists obtained a quote from the research from the Nanjing Univers ity of Chinese Medicine, "This study reported our clinical experience with using Robotic Stereotactic Assistance (ROSA) as a safe and effective approach for ste reotactic ICH aspiration and intra-clot catheter placement. A retrospective anal ysis was conducted of patients with spontaneous ICH who underwent ROSA-guided IC H aspiration surgery. ROSA-guided ICH surgical techniques, an aspiration and int ra-clot catheter placement protocol, and a specific operative workflow (pre-oper ative protocol, intraoperative procedure and postoperative management) were empl oyed to aspirate ICH using the ROSA One Brain, and appropriate follow-up care wa s provided. From September 14, 2021 to May 4, 2022, a total of 7 patients were i ncluded in the study. Based on our workflow design, ROSA-guided stereotactic ICH aspiration effectively aspirated more than 50% of hematoma volume (or more than 30 mL for massive hematomas), thereby reducing the residual hemat oma to less than 15 mL. The mean operative time of entire surgical procedure was 1.3 ± 0.3 h, with very little perioperative blood loss and no perioperative com plications. No patients required catheter replacement and all patients' function al status improved."

    Studies from Taiyuan Institute of Technology Reveal New Findings on Robotics [Simultaneous localization and mapping (SLAM)-based robot localization and naviga tion algorithm]

    8-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on robotics are presented in a new rep ort. According to news reporting from the Taiyuan Institute of Technology by New sRx journalists, research stated, "This research paper presents a comprehensive study of the simultaneous localization and mapping (SLAM) algorithm for robot lo calization and navigation in unknown environments." Our news reporters obtained a quote from the research from Taiyuan Institute of Technology: "The SLAM algorithm is a widely used approach for building a map of an environment and estimating the robot's position within it, which is especiall y useful in dynamic and unstructured environments. The paper discusses various S LAM techniques, including the Kalman filter (KF) and GraphSLAM algorithms, and t heir use in probabilistic estimation of the robot's position and orientation. Th e paper also explores different path-planning techniques that can be used with t he map created by the SLAM algorithm to generate collision-free paths for the ro bot to navigate toward its goal. The paper also discusses recent advances in dee p learning-based SLAM algorithms and their applications in indoor navigation wit h ORB and RGB-D cameras."

    Researcher from Macau University of Science and Technology Reports Details of Ne w Studies and Findings in the Area of Robotics (Wafer Delay Minimization in Sche duling Single-Arm Cluster Tools with Two-Space Process Modules)

    9-10页
    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 Macao, People's Republic of China, by NewsRx journalists, research stated, "In semiconductor manufacturing, multi-spac e process modules (PMs) are adopted in some cluster tools for wafer processing. With multi-space PMs, a PM can have multiple wafers concurrently." Financial supporters for this research include Science And Technology Developmen t Fund (Fdct), Macau Sar. The news editors obtained a quote from the research from Macau University of Sci ence and Technology: "Also, the internal chamber in a PM should rotate to make t he robot able to load/unload a wafer into/from a space in the PM. This means tha t the wafer staying time in PMs is affected by both the rotation operations of t he internal chambers of PMs and the robot tasks. Thus, minimizing the wafer dela y time is quite challenging. In this work, for cluster tools with single-arm rob ots and two-space PMs, efforts are made for wafer delay minimization in scheduli ng the tools. Specifically, a two-wafer backward strategy is presented to operat e the tools in a steady state. Then, the workloads of each processing step and t he robot are analyzed."