查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news originating from Guanaju ato, Mexico, by NewsRx editors, the research stated, "This article employed pupi llometry as a non-invasive technique to analyze pupillary light reflex (PLR) usi ng LED flash stimuli." Our news reporters obtained a quote from the research from Instituto Tecnologico de Leon: "Particularly, for the experiments, only the red LED with a wavelength of 600 nm served as the light stimulation source. To stabilize the initial pupi l size, a pre-stimulus (PRE) period of 3 s was implemented, followed by a 1 s st imulation period (ON) and a 4 s post-stimulus period (POST). Moreover, an experi mental, low-cost pupillometer prototype was designed to capture pupillary images of 13 participants. The prototype consists of a 2-megapixel web camera and a li ghting system comprising infrared and RGB LEDs for image capture in low-light co nditions and stimulus induction, respectively."
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 originating in Jiangsu, People's Rep ublic of China, by NewsRx journalists, research stated, "Automated robots are em erging as a solution for labor-intensive fruit orchard management. Three-dimensi onal (3D) reconstruction of tree branches is a fundamental requirement for robot s to perform tasks like pruning and fruit harvesting." The news reporters obtained a quote from the research from Jiangsu University, " Current branch sensing methods often rely on planar segmentation with limited 3D information or computationally expensive point cloud segmentation, which may no t be suitable for natural orchards with obscured tree branches. This study propo ses a novel scheme that reconstructs occluded branches from RGB-D (Red-Green-Blu e- Depth) images by integrating the point clouds converted from planar segmentati on masks and depth images. The proposed approach extends the existing 2D branch sensing techniques to 3D, leveraging multi-view information. The deep learning m odels DeeplabV3 + and Pix2pix are employed to generate the segmentation masks, s eparately. And the Fast Global Registration (FGR) is used to register the multi- view point clouds. The results demonstrate that the output point clouds have at least a 24 % increase in the number of corresponding points after FGR. Furthermore, the time cost per hundred corresponding points is reduced by 8 5 % and 69 % when using the DeepLabV3 + and Pix2pix- based schemes, respectively, compared to the PointNet ++ approach."
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 reporting originating from Jena, Germany, by NewsRx correspondents, research stated, "Although species are centr al units for biological research, recent findings in genomics are raising awaren ess that what we call species can be ill-founded entities due to solely morpholo gy-based, regional species descriptions. This particularly applies to groups cha racterized by intricate evolutionary processes such as hybridization, polyploidy , or asexuality." Our news editors obtained a quote from the research from Max-Planck-Institute fo r Biogeochemistry, "Here, challenges of current integrative taxonomy (genetics/g enomics + morphology + ecology, etc.) become apparent: different favored species concepts, lack of universal characters/markers, missing appropriate analytical tools for intricate evolutionary processes, and highly subjective ranking and fu sion of datasets. Now, integrative taxonomy combined with artificial intelligenc e under a unified species concept can enable automated feature learning and data integration, and thus reduce subjectivity in species delimitation."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news originating from Siksha O Anusandhan University by NewsRx correspondents, research stated, "As populatio n has increased over successive generations, human dependency on electricity has increased to the point where it has become a norm and indispensable, and the id ea of living without it has become unthinkable." The news editors obtained a quote from the research from Siksha O Anusandhan Uni versity: "Machine learning is emerging as a fundamental method for performing ta sks autonomously without human intervention. Forecasting electricity consumption is challenging due to the many factors that influence it; embracing modern tech nology with its heavy focus on machine learning and artificial intelligence is a potential solution. This study employs various machine learning algorithms to f orecast power usage and determine which method performs best in predicting the d ataset based on different variables. Eight models were tested, including Linear Regression, DT Classifier, RF Classifier, KNN, DT Regression, SVM, Logistic Regr ession, and GNB Classifier. The Decision Tree model had the greatest accuracy of 98.3%."
查看更多>>摘要：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 originating from Liege, Bel gium, by NewsRx correspondents, research stated, "PurposeThis study aims to unco ver the constraints of automation and the affordances of augmentation related to implementing artificial intelligence (AI)-powered systems across different task types: mechanical, thinking and study involving 45 interviews with various stakeholders in artistic gymnastics, for which AI-powered systems for the judging process are currently developed an d tested. Stakeholders include judges, gymnasts, coaches and a technology vendor .FindingsWe identify perceived constraints of automation, such as too much mecha nization, preciseness and inability of the system to evaluate artistry or to pro vide human interaction." Financial support for this research came from HEC Liege Research - PRISME.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on artificial intelligence is the su bject of a new report. According to news reporting out of Chiba, Japan, by NewsR x editors, research stated, "This study investigated the accuracy of a machine l earning algorithm for predicting mortality in patients receiving rapid response system (RRS) activation." Our news reporters obtained a quote from the research from Chiba University Grad uate School of Medicine: "This retrospective cohort study used data from the In- Hospital Emergency Registry in Japan, which collects nationwide data on patients receiving RRS activation. The missing values in the dataset were replaced using multiple imputations (mode imputation, BayseRidge sklearn. linear model, and K- nearest neighbor model), and the enrolled patients were randomly assigned to the training and test cohorts. We established prediction models for 30-day mortalit y using the following four types of machine learning classifiers: Light Gradient Boosting Machine (LightGBM), eXtreme Gradient Boosting, random forest, and neur al network. Fifty-two variables (patient characteristics, details of RRS activat ion, reasons for RRS initiation, and hospital capacity) were used to construct t he prediction algorithm. The primary outcome was the accuracy of the prediction model for 30-day mortality. Overall, the data from 4,997 patients across 34 hosp itals were analyzed."
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 reporting originating in Bergamo , Italy, by NewsRx journalists, research stated, "Inflammatory bowel disease (IB D) includes Crohn's Disease (CD) and Ulcerative Colitis (UC). Correct diagnosis requires the identification of precise morphological features such basal plasmac ytosis." The news reporters obtained a quote from the research, "However, histopathologic al interpretation can be challenging, and it is subject to high variability. The IBD-Artificial Intelligence (AI) project aims at the development of an AI-based evaluation system to support the diagnosis of IBD, semi-automatically quantifyi ng basal plasmacytosis. A deep learning model was trained to detect and quantify plasma cells on a public dataset of 4981 annotated images. The model was then t ested on an external validation cohort of 356 intestinal biopsies of CD, UC and healthy controls. AI diagnostic performance was calculated compared to human gol d standard. The system correctly found that CD and UC samples had a greater prev alence of basal plasma cells with mean number of PCs within ROIs of 38.22 (95 % CI: 31.73, 49.04) for CD, 55.16 (46.57, 65.93) for UC, and 17.25 (CI: 12.17, 27. 05) for controls. Overall, OR=4.968 (CI: 1.835, 14.638) was found for IBD compar ed to normal mucosa (CD: +59 %; UC: +129 %). Additiona lly, as expected, UC samples were found to have more plasma cells in colon than CD cases."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Surgical Procedures - Arthroscopy is the subject of a report. According to news reporting originating in Shenzhen, People's Republic of China, by NewsRx journalists, research stated, "To investigate the short-term clinical efficacy of robot-assisted retrograde d rilling and arthroscopic microfracture for osteochondral lesions of the talus (O CLT). This study was divided into two groups: experimental group: robot-assisted retrograde drilling group; control group: arthroscopic microfracture group." The news reporters obtained a quote from the research from Shenzhen Second Peopl e's Hospital, "A total of 6 OCLT patients who were treated with robot navigation -assisted retrograde drilling and 10 OCLT patients who were treated with arthros copic microfracture between October 2020 and October 2021 were retrospectively a nalyzed. There were 11 males and five females, with a mean age of 36 years. The patients were followed up for 6-12 months to compare the changes in the OCLT les ion area by magnetic resonance imaging (MRI), visual analogue scale/score (VAS) and American Orthopedic Foot and Ankle Society score (AOFAS) before and after su rgery. All 16 patients were followed up for an average of 8 months, and no compl ications such as joint infection, nerve injury, or active bleeding occurred duri ng the follow-up period. Only one patient suffered discomfort involving transien t postoperative pain in the operative area, but did not experience long-term num bness or chronic pain. Postoperative MRI revealed that none of the patients had severe signs of osteonecrosis, osteolysis or cystic changes of the talus, with l esion areas smaller than those before surgery. The difference was statistically significant (<0.01). The patients in the experimental grou p showed a more significant improvement in the last 3 months than in the first 3 months of the follow-up period. At the last follow-up, the VAS score was 3 poin ts in the experimental group and 2.2 points in the control group, and the AOFAS score was 88.6 points in the experimental group and 88 points in the control gro up, all of which were significantly higher than those before operation, and the differences were statistically significant, but there was no statistically signi ficant difference between the groups. Both robot navigation-assisted retrograde drilling and arthroscopic microfracture for bone marrow stimulation (BMS) to tre at OCLT in all patients obtained satisfactory effects in the short term. In addi tion, the follow-up revealed that with excellent efficacy and few complications, robot navigation-assisted retrograde drilling was safe and minimally invasive, and greatly reduced operative time."
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 robotics is now availab le. According to news reporting from Harbin, People's Republic of China, by News Rx journalists, research stated, "Active power-assist lower limb exoskeleton rob ots aim to enhance wearer assistance while ensuring wearer comfort and simplifyi ng the exoskeleton's design and control." Funders for this research include National Natural Science Foundation of China; Natural Science Foundation of Hebei Province of China. The news journalists obtained a quote from the research from Harbin Institute of Technology: "This study proposes an active assistance method known as Equivalen t Force on Connection (EFOC). The EFOC method effectively addresses the limitati ons encountered in conventional Joint Torque Proportional Compensation (JTPC) ap proaches. These limitations include the necessity for exoskeleton robot configur ations to align with human limb structures for parallel assistance at each lower limb joint, as well as the exoskeleton's inability to contribute a greater prop ortion of assistance due to the excessive load on specific skeletal and muscular structures, resulting in wearer discomfort. Furthermore, the effectiveness of t he EFOC method is evaluated and validated for assistance during both the stance and swing phases of single-leg movements."
查看更多>>摘要：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 out of Xi'an, People's Republic of Chin a, by NewsRx editors, research stated, "Cadmium selenide (CdSe) is an inorganic semiconductor with unique optical and electronic properties that make it useful in various applications, including solar cells, light-emitting diodes, and biofl uorescent tagging. In order to synthesize high-quality crystals and subsequently integrate them into devices, it is crucial to understand the atomic scale cryst allization mechanism of CdSe." Funders for this research include National Natural Science Foundation of China ( NSFC), National Science Fund for Excellent Young Scientist Fund Program (Oversea s) of China, Science and Technology Activities Fund for Overseas Researchers of Shaanxi Province, China, Research Fund of the State Key Laboratory of Solidifica tion Proceeding (NPU) of China, International Center for Materials Discovery (IC MD) cluster of NPU, Swiss National Supercomputing Centre (CSCS).
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