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    New research shows AI dog personality algorithm could match you with your new 'best friend'

    1-2页
    查看更多>>摘要：2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A multi-disciplinary research team specializing in canine behavior and Artificial Intelligence has developed an AI algorithm that automates the high-stakes process of evaluating potential working dogs’ personalities. They hope to help dog training agencies more quickly and accurately assess which animals are likely to succeed long term in careers such as aiding law enforcement and assisting persons with disabilities. The personality test could also be used for dog-human matchmaking, helping shelters with proper placement, thus reducing the number of animals returned for not being a good fit with their adoptive families. The scientists, from the University of East London and University of Pennsylvania, conducted the research on behalf of their sponsor Dogvatar, a Miami, Fla.-based canine technology startup. They an- nounced the dog personality testing algorithm results in their paper, “An Artificial Intelligence Approach To Predicting Personality Types In Dogs,” published Jan. 29, 2024 in Scientific Reports.
      原文链接:
    • NETL
    • NSTL

    Researchers from Southwest Petroleum University Publish Findings in Engineering (Seismic Attribute Extraction and Application Based on the Gabor Wavelet Transform)

    2-2页
    查看更多>>摘要：2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on engineering. According to news originating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “The most common method for interpreting strata with seismic data is to relate the peaks and troughs of adjacent traces based on the seismic waveform characteristics. This can be captured by machine learning and deep learning methods to stratigraphic segmentation as many people investigated in industry.” Financial supporters for this research include Scientific Research And Technology Development Project of Petrochina Company Ltd..
      原文链接:
    • NETL
    • NSTL
    • IEEE

    Royal Sussex County Hospital Reports Findings in Cholecystectomy (Laparoscopic versus robotic cholecystectomy: a systematic review with meta-analysis to differentiate between postoperative outcomes and cost-effectiveness)

    3-3页
    查看更多>>摘要：2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Cholecystectomy is the subject of a report. According to news reporting from Brighton, United Kingdom, by NewsRx journalists, research stated, “Robotic cholecystectomy (RC) has shown promising outcomes in multiple studies when compared with the gold standard laparoscopic cholecystectomy (LC). The objective of this study is to compare the postoperative surgical outcomes and cost in patients undergoing RC versus LC.”
      原文链接:
    • NETL
    • NSTL

    Rush University Medical Center Researcher Publishes New Data on Artificial Intelligence (Aesthetically Ideal Breasts Created With Artificial Intelligence: Validating the Literature, Racial Differences, and Deep Fakes)

    4-4页
    查看更多>>摘要：2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligence have been presented. According to news reporting out of Chicago, Illinois, by NewsRx editors, research stated, “A woman’s breasts are integrally tied to her identity and sense of femininity. Despite extensive study of breast aesthetics, there is no discrete formula for the “ideal breast” to guide the aesthetic surgeon.” The news correspondents obtained a quote from the research from Rush University Medical Center: “Racial and cultural differences heavily influence preferences in breast morphology. Artificial intelligence (AI) is ubiquitous in modern culture and may aid in further understanding ideal breast aesthetics. This study analyzed AI-generated images of aesthetically ideal breasts, evaluated for morphologic differences based on race, and compared findings to the literature. An openly accessible AI image-generator platform was used to generate images of aesthetically ideal Caucasian, African American, and Asian breasts in three-quarter profile and frontal views using simple text prompts. Breast measurements were obtained and compared between each racial cohort and to previously described ideal breast parameters. Twenty-five images were analyzed per racial cohort, per pose (150 total). Caucasian breasts were observed to fit nicely into previously described ideal breast templates. However, upper to lower pole ratios, nipple angles, upper pole slope contours, nipple areolar complex positions, and areolar size were observed to have statistically significant differences between racial cohorts.”
      原文链接:
    • NETL
    • NSTL
    • Oxford Univ Press

    Study Data from Hebei University of Technology Provide New Insights into Robotics (A Learning Control Strategy for Robot- assisted Bathing Via Impedance Sliding Mode Technique With Non- repetitive Tasks)

    5-5页
    查看更多>>摘要：2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Robotics. According to news originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “This paper investigates an impedance-based iterative learning sliding mode control scheme for robot-assisted bathing, taking into consideration scenarios with unknown model parameters. Initially, the utilization of impedance control is not confined to merely adjusting the desired trajectory but is also instrumental in ensuring active compliance control during the robot-assisted bathing procedure.” Funders for this research include National Key R&D Program of China, Hebei Province Special research and development plan project.
      原文链接:
    • NETL
    • NSTL
    • Inst Control Robotics & Systems, Korean Inst Electrical Engineers

    Second Affiliated Hospital of Harbin Medical University Reports Findings in Colon Cancer (Robot-assisted radical resection of col- orectal cancer using the KangDuo surgical robot versus the da Vinci Xi robotic system: short-term outcomes of a ...)

    6-6页
    查看更多>>摘要：2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Colon Cancer is the subject of a report. According to news reporting originating in Heilongjiang, People’s Republic of China, by NewsRx journalists, research stated, “The KangDuo surgical robot (KD-SR-01) was recently developed in China. This study aims to evaluate the short-term outcomes of KD-SR-01 for colorectal cancer surgery.” The news reporters obtained a quote from the research from the Second Affiliated Hospital of Harbin Medical University, “This is a multicentre randomised controlled noninferiority trial conducted in three centers in China. Enrolled patients were randomly assigned at a 1:1 ratio to receive surgery using the KD-SR-01 system (KD group) or the da Vinci Xi (DV) robotic system (DV group). The primary endpoint was the success rate of operation. The second endpoints were surgical outcomes, pathological outcomes, and postoperative outcomes. Between July 2022 and May 2023. A total of 100 patients were included in the trial and randomly assigned to the KD group (50 patients) and the DV group (50 patients). All cases were completed successfully without conversion to laparoscopic surgery. The time to flatus and the incidence of postoperative complications of Clavien-Dindo grade Ⅱ or higher grade were comparable between the two groups. Surgeons reported a high level of comfort with the KD-SR-01 system. In the subgroup analysis of different operative procedures, there were no significant differences in docking time, console time, blood loss, and the length of the incision for extraction between the two groups. There were no differences in pathological outcomes including maximum tumor diameter, circumferential resection margin, distal resection margin, and number of harvested lymph nodes.”
      原文链接:
    • NETL
    • NSTL

    Shanghai Jiao Tong University School of Medicine Reports Findings in Chronic Kidney Disease [Machine learning based biomarker dis- covery for chronic kidney disease-mineral and bone disorder (CKD- MBD)]

    7-8页
    查看更多>>摘要：2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Kidney Diseases and Conditions - Chronic Kidney Disease is the subject of a report. According to news reporting originating in Jiangsu, People’s Republic of China, by NewsRx journalists, research stated, “Chronic kidney disease-mineral and bone disorder (CKD-MBD) is characterized by bone abnormalities, vascular calcification, and some other complications. Although there are diagnostic criteria for CKD-MBD, in situations when conducting target feature examining are unavailable, there is a need to investigate and discover alternative biochemical criteria that are easy to obtain.”
      原文链接:
    • NETL
    • NSTL
    • Springer Nature

    Charles Sturt University Reports Findings in Artificial Intelligence (Harnessing Artificial Intelligence for Analysing the Impacts of Nec- tar and Pollen Feeding in Conservation Biological Control)

    8-8页
    查看更多>>摘要：2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news reporting out of Orange, Australia, by NewsRx editors, research stated, “Plant-derived foods, such as nectar and pollen, have garnered substantial research attention due to their potential to support natural enemies of pests. This review is a pioneering exploration of the potential for artificial intelligence approaches to provide insights into the factors that drive the success of conservation biological control.”
      原文链接:
    • NETL
    • NSTL

    New Findings on Machine Learning Described by Investigators at University of Tulsa (Decision Support System for Appointment Scheduling and Overbooking Under Patient No-show Behavior)

    9-10页
    查看更多>>摘要：2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news originating from Tulsa, Oklahoma, by NewsRx correspondents, research stated, “Data availability enables clinics to use predictive analytics to improve appointment scheduling and overbooking decisions based on the predicted likelihood of patients missing their appointment (no-shows). Analyzing data using machine learning can uncover hidden patterns and provide valuable business insights to devise new business models to better meet consumers’ needs and seek a competitive advantage in healthcare.”
      原文链接:
    • NETL
    • NSTL
    • Springer Nature

    Tokyo Institute of Technology Researcher Targets Cyborg and Bionic Systems (Flexible Electrohydrodynamic Fluid-Driven Valve- less Water Pump via Immiscible Interface)

    9-9页
    查看更多>>摘要：2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on cyborg and bionic systems is now available. According to news origi- nating from Tokyo, Japan, by NewsRx editors, the research stated, “The conventional electrohydrodynamic (EHD) pump is limited to pumping functional and dielectric liquids, which restricts its applications in fields like microfluidics, food safety, and materials production.” Our news editors obtained a quote from the research from Tokyo Institute of Technology: “In this study, we present a flexible water pump driven by EHD fluid, achieved by integrating valveless elements into the fluidic channel. Our approach leverages the water-EHD interface to propel the immiscible aqueous liquid and reciprocate this process using the nozzle-diffuser system. All components of the water pump are digitally fabricated and assembled. The valveless parts are created using a laser cutting machine. Additionally, we develop a model for the EHD pump and nozzle-diffuser system to predict the generated flow rate, considering factors such as the asymmetrical performance of the EHD pump, pulse frequency, applied voltage, and structural parameters.”
      原文链接:
    • NETL
    • NSTL
    • Amer Assoc Advancement Science