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    Studies in the Area of Robotics Reported from Shenyang University of Technology (Prediction of Abnormal Gait Behavior of Lower Limbs Based On Depth Vision)

    87-87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 out of Shenyang, People’s Republic of China , by NewsRx editors, research stated, “As a kind of lower-limb motor assistance device, the intelligent walking aid robot plays an essential role in helping peo ple with lower-limb diseases to carry out rehabilitation walking training. In or der to enhance the safety performance of the lower-limb walking aid robot, this study proposes a deep vision-based abnormal lower-limb gait prediction model con struction method for the problem of abnormal gait prediction of patients’ lower limbs.” Financial support for this research came from Ministry of Education’s Chunhui Pl an.

    Reports Summarize Machine Learning Findings from Harbin Institute of Technology (A Hybrid Non-parametric Ground Motion Model of Power Spectral Density Based On Machine Learning)

    87-88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 Machine Learning is th e subject of a report. According to news reporting originating in Harbin, People ’s Republic of China, by NewsRx journalists, research stated, “In the fields of engineering seismology and earthquake engineering, researchers have predominantl y focused on ground motion models (GMMs) for intensity measures. However, there has been limited research on power spectral density GMMs (PSD-GMMs) that charact erize spectral characteristics.” Financial supporters for this research include National Key Research & Development Program of China, National Natural Science Foundation of China (NSFC ).

    American University of Nigeria Researcher Adds New Study Findings to Research in Machine Learning (Comparing Machine Learning Algorithms for Rice Yield Predicti on in Adamawa and Cross Rivers States of Nigeria)

    88-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on artificial intelligence are discussed in a new report. According to news reporting out of American Universit y of Nigeria by NewsRx editors, research stated, “Rice production is critical fo r global food security, and accurate yield prediction empowers informed decision -making.”Our news journalists obtained a quote from the research from American University of Nigeria: “This paper investigates machine learning (ML) techniques for rice yield prediction in Adamawa and Cross River states, with distinct agroclimatic c onditions. Traditional yield prediction methods that are commonly used often hav e limitations such as less insights into the available data and reduced accuracy . Hence, this research explores the potential of machine learning for improved p rediction accuracy. We leverage climatic data and historical rice yields to trai n and evaluate Decision Trees, Random Forest, Support Vector Regressor, Polynomi al Regressor, Multiple Linear Regression and Long Short-Term Memory (LSTM) model s. Performance is compared using Mean Squared Error, Root Mean Squared Error, Co efficient of Determination, Mean Absolute Error, and Mean Absolute Percentage Er ror. Feature selection identifies All-sky Photosynthetically Active Radiation (P AR) as the most influential factor.”

    New Robotics Data Have Been Reported by Researchers at University of Shanghai fo r Science and Technology (Parameter Identification and Scanning Pose Optimizatio n for Robotic Vision Measurement System)

    89-90页
    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 Robotic s. According to news reporting originating from Shanghai, People’s Republic of C hina, by NewsRx correspondents, research stated, “Robotic vision measurement sys tem (RVMS) has received wide attention due to their advantages, such as nonconta ct, flexible inspection, and strong adaptability to various manufacturing enviro nments. However, compared to contacting coordinate measuring machines, larger me asurement errors are the main reason that limits the wide application of RVMS in high-accuracy measurement scenarios.” Funders for this research include National Natural Science Foundation of China ( NSFC), Natural Science Foundation of Shanghai, Shanghai Pujiang Program.

    Ankara Yildirim Beyazit University Reports Findings in Prostatectomy (The effect of puboperiurethral suspension stitch placement on climacturia after robot-assi sted laparoscopic radical prostatectomy)

    90-91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 Surgery - Prostatectom y is the subject of a report. According to news reporting originating from Ankar a, Turkey, by NewsRx correspondents, research stated, “Climacturia is defined as urine leakage associated with orgasm and can negatively affect patients’ qualit y of life. The high prevalence of climacturia after radical prostatectomy (RP) h as led to continued efforts to reduce climacturia rates.” Our news editors obtained a quote from the research from Ankara Yildirim Beyazit University, “It has been shown that puboperiurethral suspension stitch placemen t during RP assists in the recovery of urinary continence. To evaluate the impac t of puboperiurethral suspension stitch placement during RP on post-RP climactur ia. We conducted a retrospective study of patients who underwent nerve-sparing r obot-assisted laparoscopic RP (RALP) at our institution between 2016 and 2023. T he patients were categorized into 2 groups: Group 1 (n = 32) that underwent nerv e-sparing RALP with puboperiurethral suspension stitch placement and Group 2 (n = 62) that underwent nerve-sparing RALP alone. Patients who were not able to ach ieve penetration at the last follow-up visit were excluded from the study. The c linical history, parameters of prostate cancer, details of medical and surgical treatments, and followup data were evaluated. Differences in sexual and urinary function, climacturia rates, and complications between nerve-sparing RP with an d without puboperiurethral suspension stitch placement. There were no significan t differences between the groups in terms of surgical complications. The mean fo llow-up time was 14.62 ? 3.55 months in Group 1 and 14.43 ? 4.44 months in Group 2 (P = .42). Postoperative erectile functions were similar between the groups. At the last follow-up visit, climacturia was present in 4 patients (12.5% ) in Group 1 and 24 patients (38.7%) in Group 2 (P = .016). The lon g-term stress urinary incontinence rates were similar between the groups. This s tudy provides comparative results on postoperative climacturia rates between ner ve-sparing RALP groups with and without puboperiurethral suspension stitch place ment. These results show that puboperiurethral suspension stitch can help to pre vent postoperative climacturia after RP. This is the first study in the literatu re that evaluates the effect of puboperiurethral suspension stitch on climacturi a. The limitations include the single-center, retrospective design with potentia l selection bias, possible inaccuracies in the recorded medical data, and challe nges in controlling confounding variables.”

    Researcher at Shanghai Jiao Tong University Targets Robotics (A Real-Time Global Re-Localization Framework for a 3D LiDAR-Based Navigation System)

    92-92页
    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 robotic s. According to news reporting from Shanghai, People’s Republic of China, by New sRx journalists, research stated, “Place recognition is widely used to re-locali ze robots in pre-built point cloud maps for navigation. However, current place r ecognition methods can only be used to recognize previously visited places.” Financial supporters for this research include Hai’an Institute of Intelligent E quipment Shanghai Jiao Tong University; Major Science And Technology Projects Fo r Self-innovation of Faw; National Natural Science Foundation of China; National Key R&D Program of China.

    Findings on Machine Learning Discussed by Investigators at Northeastern Universi ty (Identification of Putative Coral Pathogens In Endangered Caribbean Staghorn Coral Using Machine Learning)

    93-93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 Nahant, Massachusett s, by NewsRx editors, research stated, “Coral diseases contribute to the rapid d ecline in coral reefs worldwide, and yet coral bacterial pathogens have proved d ifficult to identify because 16S rRNA gene surveys typically identify tens to hu ndreds of disease-associate bacteria as putative pathogens. An example is white band disease (WBD), which has killed up to 95% of the now-endanger ed Caribbean Acropora corals since 1979, yet the pathogen is still unknown.” Financial supporters for this research include NSF - Directorate for Geosciences (GEO), National Science Foundation (NSF).

    University of Campania Luigi Vanvitelli Reports Findings in Crohn’s Disease (Mac hine learning as a tool predicting short-term postoperative complications in Cro hn’s disease patients undergoing intestinal resection: What frontiers?)

    94-94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 Digestive System Disea ses and Conditions - Crohn’s Disease is the subject of a report. According to ne ws originating from Naples, Italy, by NewsRx correspondents, research stated, “T he recent study, ‘Predicting short-term major postoperative complications in int estinal resection for Crohn’s disease: A machine learning-based study’ investiga ted the predictive efficacy of a machine learning model for major postoperative complications within 30 days of surgery in Crohn’s disease (CD) patients. Employ ing a random forest analysis and Shapley Additive Explanations, the study priori tizes factors such as preoperative nutritional status, operative time, and CD ac tivity index.” Our news journalists obtained a quote from the research from the University of C ampania Luigi Vanvitelli, “Despite the retrospective design’s limitations, the m odel’s robustness, with area under the curve values surpassing 0.8, highlights i ts clinical potential. The findings align with literature supporting preoperativ e nutritional therapy in inflammatory bowel diseases, emphasizing the importance of comprehensive assessment and optimization.”

    University of Cambridge Reports Findings in Type C Niemann-Pick Disease (Graphen e Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Le arning Spike Sorting Algorithm Permit the Analysis of Ultrastructural Neuronal . ..)

    95-96页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nutritional and Metabolic Disease s and Conditions - Type C Niemann-Pick Disease is the subject of a report. Accor ding to news reporting originating from Cambridge, United Kingdom, by NewsRx cor respondents, research stated, “Simultaneously recording network activity and ult rastructural changes of the synapse is essential for advancing understanding of the basis of neuronal functions. However, the rapid millisecond-scale fluctuatio ns in neuronal activity and the subtle sub-diffraction resolution changes of syn aptic morphology pose significant challenges to this endeavor.” Financial supporters for this research include Michael J. Fox Foundation for Par kinson’s Research, Alzheimer’s Research Trust, Medical Research Council, Wellcom e Trust, Schweizerischer Nationalfonds zur Forderung der Wissenschaftlichen Fors chung.

    Researcher from Yanshan University Discusses Findings in Robotics (Parallel Forc e Feedback Device Design with Constant Jacobian Matrix and Net Weight Fully Bala nced)

    95-95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 originating from Yanshan Universi ty by NewsRx correspondents, research stated, “Haptic devices offer realistic an d intuitive feedback to operators, and achieving higher accuracy and transparenc y has been a prominent research focus in this field.” Financial supporters for this research include Education Department, Hebei Provi nce; Natural Science Foundation of Hebei Province.