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 Hefei, People's Republic of China, by NewsRx journalists, research stated, "There is st ill a lack of clinical evidence comprehensively evaluating the effectiveness of antiviral treatments for COVID-19 hospitalized patients. A retrospective cohort study was conducted at Beijing You'An Hospital, focusing on patients treated wit h nirmatrelvir/ritonavir or azvudine." The news reporters obtained a quote from the research from the University of Sci ence and Technology of China, "The study employed a tripartite analysis-viral dy namics, survival curve analysis, and AI-based radiological analysis of pulmonary CT images-aiming to assess the severity of pneumonia. Of 370 patients treated w ith either nirmatrelvir/ritonavir or azvudine as monotherapy, those in the nirma trelvir/ritonavir group experienced faster viral clearance than those treated wi th azvudine (5.4 days vs. 8.4 days, p <0.001). No significa nt differences were observed in the survival curves between the two drug groups. AI-based radiological analysis revealed that patients in the nirmatrelvir group had more severe pneumonia conditions (infection ratio is 11.1 vs. 5.35, p = 0.0 07). Patients with an infection ratio higher than 9.2 had nearly three times the mortality rate compared to those with an infection ratio lower than 9.2. Our st udy suggests that in real-world studies regarding hospitalized patients with COV ID-19 pneumonia, the antiviral effect of nirmatrelvir/ritonavir is significantly superior to azvudine, but the choice of antiviral agents is not necessarily lin ked to clinical outcomes; the severity of pneumonia at admission is the most imp ortant factor to determine prognosis."
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 ar tificial intelligence. According to news reporting originating from Charlottesvi lle, Virginia, by NewsRx correspondents, research stated, "Over the past decade, focused ultrasound (FUS) has emerged as a promising therapeutic modality for va rious medical conditions." Funders for this research include Focused Ultrasound Foundation, Charlottesville , Virginia. Our news correspondents obtained a quote from the research from University of Vi rginia: "However, the exponential growth in the published literature on FUS ther apies has made the literature review process increasingly time-consuming, ineffi cient, and error-prone. Machine learning approaches offer a promising solution t o address these chAllenges. Therefore, the purpose of our study is to (1) explor e and compare machine learning techniques for the text classification of scienti fic abstracts, and (2) integrate these machine learning techniques into the conv entional literature review process. A classified dataset of 3588 scientific abst racts related and unrelated to FUS therapies sourced from the PubMed database wa s used to train various traditional machine learning and deep learning models. the fine-tuned Bio-ClinicalBERT (Bidirectional Encoder Representations from Trans formers) model, which we named FusBERT, had comparatively optimal performance me trics with an accuracy of 0.91, a precision of 0.85, a recAll of 0.99, and an F1 of 0.91."
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 originating from the Department of Electrical E ngineering by NewsRx correspondents, research stated, "The concept of digital fa rming can help farmers increase their agricultural production yield. One of the technologies to support digital farming is robotics, which can be utilized to co mplete a redundant task efficiently for 24 hours." The news correspondents obtained a quote from the research from Department of El ectrical Engineering: "This paper presents a simple and effective harvesting rob ot that is applied to harvest a ripe strawberry. The mechanical and electrical d esign is kept simple to ensure it is reproducible. The input from a proximity se nsor and image detection by a Pi camera is utilized by FLC (Fuzzy Logic Controll er) to improve the effectiveness of the harvesting task. The image processing me thod in this study is image segmentation, which fits with the limited source of the microcontroller available in the market. The experiment included 60 times (2 0 times center, left, and right position) harvesting using the FLC algorithm and 60 times without FLC to show the effectiveness of the proposed method. From 60 experiments without an FLC experiment, there is an 80% hit rate fo r strawberries positioned in the middle of an image plane and 55% for left and right strawberries. From 60 times of FLC experiment, 95% hit rate for strawberries positioned in the middle of an image plane, 80% for left and right strawberries. The average time required to finish the task wi thout FLC for strawberries in the middle is 13.51 s, the left is 11.04 s, and th e right is 17.28 s."
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 artific ial intelligence. According to news reporting out of Toyohashi, Japan, by NewsRx editors, research stated, "Reticulated shells exhibit complex vibrations during earthquakes, encompassing components in horizontal and vertical directions, and multiple vibration modes occur." Our news reporters obtained a quote from the research from Toyohashi University of Technology: "In particular, single-layer reticulated shells with a smAll dept h relative to their span exhibit many vibration modes, and the shapes of these m odes can vary depending on the geometry. The method for rapidly setting equivale nt static seismic forces remains unexplored. In response to the above background , this study proposes a novel approach for calculating the seismic forces on sin gle-layer reticulated shells using machine learning techniques. The shells in fo cus are pin-supported cylindrical reticulated shells, typicAlly for the roofs of gymnasiums used as evacuation facilities during severe earthquakes in Japan. Ma chine learning uses numerical analysis results for approximately 20,000 shells, with varied spans, half-open angles, and aspect ratios. A method for preprocessi ng the principal vibration modes as image data is proposed, after which the imag ed vibration modes are predicted from the shape parameters of the shell using a neural network."
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 out of Avila, Spain, by NewsRx ed itors, research stated, "The use of artificial intelligence (AI) is revolutioniz ing many professions and research fields." The news journalists obtained a quote from the research from Catholic University : "Thus, the present study focuses on the implications that AI is having on rese arch in materials science and engineering (MSE). To this end, a bibliometric rev iew has been conducted to analyze the advances that AI is generating in MSE. Alt hough expectations for AI advances in the field of MSE are high, the results of this study indicate that we are still at a preliminary stage of development. It is worth highlighting that despite the progress made, the potential of AI in MSE has not been fully exploited and numerous chAllenges remain to be overcome to a chieve effective and widespread implementation. It should be noted that the suba rea "Materials structure, processing, and properties" is the one that currently presents the largest number of research works linked to AI."
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 artific ial intelligence. According to news originating from Guilin, People's Republic o f China, by NewsRx correspondents, research stated, "Bionic tubes are of interes t in vehicle engineering due to their superior crashworthiness potential." The news reporters obtained a quote from the research from Guilin University of Aerospace Technology: "This study proposes a crashworthiness response investigat ion and machine learning-based multi-objective optimization of pine cone-inspire d muti-celled tubes (PCMTs). The base computer PCMT model was correlated using e xisting experiments, followed by a dynamic response evaluation of different PCMT geometrical and thickness configurations to assess their structural performance . Surrogate models of these PCMTs were then constructed using machine learning a lgorithms, and their main and interaction effects were analyzed. A non-dominated sorting genetic algorithm II (NSGA-II) approach was employed to perform a multi -objective optimization. The results demonstrate that thickness change had more effect on the initial peak force (IPF) and the mean crushing force (MCF) than th e specific energy absorption (SEA). Besides, due to the coupling effect, IPF, MC F and SEA of the optimal design solution of the PCMTs could reach a 36.82 % , 61.66 % and 72.95 % increase than the sum case, su ggesting that embedding inner tubes could significantly increase energy absorpti on with a relative minor IPF increase."
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 Boston, Massach usetts, by NewsRx correspondents, research stated, "To assess the ability of the Annalise Enterprise CXR Triage Trauma artificial intelligence model to identify vertebral compression fractures on chest radiographs and its potential to addre ss undiagnosed osteoporosis and its treatment. This retrospective study used a c onsecutive cohort of 596 chest radiographs from four U.S. hospitals between 2015 and 2021." Our news journalists obtained a quote from the research, "Each radiograph includ ed both frontal (anteroposterior or posteroanterior) and lateral projections. Th ese radiographs were assessed for the presence of vertebral compression fracture in a consensus manner by up to three thoracic radiologists. The model then perf ormed inference on the cases. A chart review was also performed for the presence of osteoporosis-related ICD-10 diagnostic codes and medication use for the stud y period and an additional year of follow up. The model successfully completed i nference on 595 cases (99.8%); these cases included 272 positive ca ses and 323 negative cases. The model performed with area under the receiver ope rating characteristic curve of 0.955 (95% CI: 0.939 to 0.968), sen sitivity 89.3% (95% CI: 85.7 to 92.7%) and specificity 89.2% (95% CI: 85.4 to 92.3% ). Out of the 236 true-positive cases (i.e., correctly identified vertebral comp ression fractures by the model) with available chart information, only 86 (36.4% ) had a diagnosis of vertebral compression fracture and 140 (59.3%) had a diagnosis of either osteoporosis or osteopenia; only 78 (33.1% ) were receiving a disease modifying medication for osteoporosis. The model iden tified vertebral compression fracture accurately with a sensitivity 89.3% (95% CI: 85.7 to 92.7%) and specificity of 89.2% (95% CI: 85.4 to 92.3%)."
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 - Head and Ne ck Cancer is the subject of a report. According to news reporting from Glasgow, United Kingdom, by NewsRx journalists, research stated, "Machine learning has be en effective in other areas of medicine, this study aims to investigate this wit h regards to HNC and identify which algorithm works best to classify malignant p atients. An observational cohort study." The news correspondents obtained a quote from the research from the University o f Strathclyde, "Queen Elizabeth University Hospital. Patients who were referred via the USOC pathway between January 2019 and May 2021. Predicting the diagnosis of patients from three categories, benign, potential malignant and malignant, u sing demographics and symptoms data. The classic statistical method of ordinal l ogistic regression worked best on the data, achieving an AUC of 0.6697 and balan ced accuracy of 0.641. The demographic features describing recreational drug use history and living situation were the most important variables alongside the re d flag symptom of a neck lump."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Johor, Mala ysia, by NewsRx correspondents, research stated, "Afghanistan faces severe air q uality issues in major cities due to various sources like transportation, domest ic energy use, and industrial activity. This study investigates PM2.5 spatiotemp oral variability and its future relationship with six meteorological variables: precipitation, temperature, dewpoint temperature, wind speed, boundary layer hei ght and surface pressure." Financial support for this research came from Professional Development Research University (PDRU) fund of Universiti Teknologi Malaysia (UTM).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on robotics are disc ussed in a new report. According to news reporting from Qingdao, People's Republ ic of China, by NewsRx journalists, research stated, "The artificial potential Field (APF) is an important method for robot path planning." Funders for this research include Key Research And Development Project of Shando ng Province. The news journalists obtained a quote from the research from College of Transpor tation: "However, some information in APF is not fully utilized in practical app lications. In this paper, an improved artificial potential field (IAPF) method i s presented, in which the local path information is defined and used. And the ca lculation formulas for various forces in IAPF are given, which include repulsive force (R-force) of obstacle on the robot, the attractive force (A-force) of tar get on the robot, and the resultant force of R-force and A-force. Then, based on the local path information, a method for solving the robot fAlling into local o ptimality problem is proposed and used into IAPF. FinAlly, IAPF is respectively simulated and discussed in general scenario, complex scenario, and scenarios wit h the same and different size of circular obstacles. The results show that IAPF has higher efficiency than traditional artificial potential field (TAPF) method and can overcome the local optimality problem."
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