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    Research from Dalian Jiaotong University in the Area of Machine Learning Publish ed (Fast reconstruction of milling temperature field based on CNN-GRU machine le arning models)

    10-11页
    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 Dalian, People’s Republic of China, by NewsRx correspondents, research stated, “With th e development of intelligent manufacturing technology, robots have become more w idespread in the field of milling processing.” Financial supporters for this research include National Natural Science Foundati on of China.
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    Investigators at Ecole nationale d’administration publique Report Findings in Ar tificial Intelligence (Artificial Intelligence: Opportunities and Challenges for Public Administration)

    11-12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 Artific ial Intelligence. According to news originating from Montreal, Canada, by NewsRx editors, the research stated, “Artificial intelligence (AI) could be at the hea rt of a fourth revolution by significantly changing professional identity, relat ionships between individuals and resource management. To help public administrat ion practitioners and researchers cope with changes anticipated by AI, this rese arch note maps existing conceptual approaches on the opportunities and challenge s of AI in public administration and proposes a conceptual framework and initiat ives that can inform and support effective, public interest-oriented technology policymaking.” Our news journalists obtained a quote from the research from Ecole nationale d’a dministration publique, “This research note outlines a potential research agenda , with multi-level opportunities and challenges, to accelerate this critical wor k. En modifiant consid & eacute;rablement l’identit & eacute; professionnelle, les relations entre les individus et la gestion des res sources, l’intelligence artificielle (IA) pourrait bien & ecirc;tr e au c oe ur d’une quatri & egrave;me r & eacute;vol ution. Dans le but d’aider les praticiens et les chercheurs en administration pu blique & agrave; g & eacute;rer les changements pr & eacute;vus par l’IA, cette note de recherche cartographie les approches conceptu elles existantes concernant les opportunit & eacute;s et les d & eacute;fis pos & eacute;s par l’IA dans l’administration publique; elle propose un cadre conceptuel et des initiatives pouvant conseiller et soute nir une & eacute;laboration de politiques technologiques efficaces et ax & eacute;es sur l’int & eacute;r & ecirc;t public.”
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    Research from Taichung Veterans General Hospital in Machine Learning Provides Ne w Insights (The application of machine learning for identifying frailty in older patients during hospital admission)

    12-13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 ar tificial intelligence. According to news reporting out of the Taichung Veterans General Hospital by NewsRx editors, research stated, “Early identification of fr ail patients and early interventional treatment can minimize the frailty-related medical burden. This study investigated the use of machine learning (ML) to det ect frailty in hospitalized older adults with acute illnesses.” Our news correspondents obtained a quote from the research from Taichung Veteran s General Hospital: “We enrolled inpatients of the geriatric medicine ward at Ta ichung veterans general hospital between 2012 and 2022. We compared four ML mode ls including logistic regression, random forest (RF), extreme gradient boosting, and support vector machine (SVM) for the prediction of frailty. The feature win dow as well as the prediction window was set as half a year before admission. Fu rthermore, Shapley additive explanation plots and partial dependence plots were used to identify Fried’s frailty phenotype for interpreting the model across var ious levels including domain, feature, and individual aspects. We enrolled 3367 patients. Of these, 2843 were frail. We used 21 features to train the prediction model. Of the 4 tested algorithms, SVM yielded the highest AUROC, precision and F1-score (78.05%, 94.53% and 82.10 %). O f the 21 features, age, gender, multimorbidity frailty index, triage, hemoglobin , neutrophil ratio, estimated glomerular filtration rate, blood urea nitrogen, a nd potassium were identified as more impactful due to their absolute values.”
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    New Artificial Intelligence Findings Reported from Virginia Polytechnic Institut e and State University (Virginia Tech) (Lori: Local Low-rank Response Imputation for Automatic Configuration of Contextualized Artificial Intelligence)

    13-14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 Artificial Intelligence are presented in a new report. According to news reporting out of Blacksburg, Vi rginia, by NewsRx editors, research stated, “Artificial intelligence (AI) has pl ayed an important role for data-driven decision making in complex engineering pr oblems. However, there has been a huge waste of efforts to configure AI methods (e.g., to select preprocessing and modeling methods, etc.), catering to differen t contexts (e.g., data analytics objectives, data distributions, etc.).” Financial support for this research came from National Science Foundation (NSF). Our news journalists obtained a quote from the research from Virginia Polytechni c Institute and State University (Virginia Tech), “In current practice, data sci entists need to manually configure the AI methods in trial-and-errors according to a specific context, including determining the different options of the pipeli ne components and evaluating the advantages and limitations of an AI method. In this article, we propose a local low-rank response imputation (Lori) method, whi ch will automatically configure AI methods to specific contexts by completing a sparse context-pipeline response matrix. Different from the traditional recommen dation systems, Lori performs multivariate partition of the entire context-pipel ine response matrix based on the principal Hessian directions of the low-rank im puted response matrix. Thus, the partitioned local low-rank response matrices ca n be closely modeled to automatically match the AI methods with the datasets.”
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    Studies from Nankai University Update Current Data on Robotics (A Unified Motion Modeling Approach for Snake Robot’s Gaits Generated With Backbone Curve Method)

    14-15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 from Tianjin, People’s Republic of China, by NewsRx journalists, research stated, “In this article, a unified motio n modeling approach for the 3-D snake robot is proposed, which enables motion pr ediction of all kinds of gaits generated by the backbone curve method on the gro und. More specifically, the motion of the snake robot is novelly decomposed into two components, namely, the curve component and the shift component, which are explicitly related to the backbone curve’s parameters and control’s input.” Funders for this research include National Natural Science Foundation of China ( NSFC), Haihe Lab of ITAI.
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    Researchers’ Work from State Key Laboratory Focuses on Robotics (An Enhanced Spa tial Extrusion Method To Manufacture Largescale Thermoplastic Lattice Structure s)

    15-15页
    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 Robotics. According to news reporting from Guangzhou, People’s Republic of China , by NewsRx journalists, research stated, “Recent advances in additive manufactu ring have enabled a rapid and cost-effective fabrication of complex geometries s uch as lattices. At the architectural scale, the emerging robotic arm spatial ma terial extrusion method with a customized extrusion head has been used to build free-form lattice structures, but most existing studies primarily focused on the realization of geometric forms other than their mechanical properties.” Funders for this research include National Natural Science Foundation of Guangdo ng Province, State Key Laboratory of Subtropical Building and Urban Science, Gua ngdong Provincial Key Laboratory of Modern Civil Engi-neering Technology.
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    Nanchang University Reports Findings in Rectal Cancer (Analysis of the impact on sexual function in early-onset overweight male patients with rectal cancer foll owing robotic surgery)

    16-17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 Oncology - Rectal Canc er is the subject of a report. According to news reporting out of Jiangxi, Peopl e’s Republic of China, by NewsRx editors, research stated, “The effect of radica l resection of male rectal cancer on sexual function has been the focus of atten tion. Despite this, there remains a dearth of robust evidence regarding the infl uence of robotic radical resection of rectal cancer on postoperative sexual func tion, particularly in men diagnosed at an early age.” Our news journalists obtained a quote from the research from Nanchang University , “This study aims to explore the implications of robotic radical resection of r ectal cancer on sexual function in early-onset overweight male patients diagnose d with this disease. A retrospective analysis was performed on male patients und er 50 years old and over 20 years old who were diagnosed with rectal cancer (cT1 -3N0M0) and underwent surgical treatment in the First Affiliated Hospital of Nan chang University from May 2015 to August 2020. Sexual function was evaluated by the International Index of Erectile Function (IIEF) test and scored at 1, 3, 6, and 12 months postoperatively. The sexual function of traditional laparoscopic r adical resection of rectal cancer (L-RE) and robotic radical resection of rectal cancer (R-RE) were compared. According to body mass index, L-RE and R-RE groups were further divided into normal body weight groups (LN-RE and RN-RE) and overw eight groups (LO-RE and RO-RE), and the sexual function of each group was compar ed successively. Neither L-RE nor R-RE patients had significant differences in n umber of lymph nodes removed, tumour size, pathological TNM stage, or first exha ust time or time to eat liquids. The OS and DFS of the L-RE and R-RE groups, as well as the LO-RE and RO-RE groups, did not differ statistically after the logar ithmic rank test (P > 0.05). IIEF scores in both the L-R E and R-RE groups declined sharply 1 month after surgery and then steadily incre ased. The R-RE group’s IIEF scores significantly recovered in 6 months, compared to 12 months in the L-RE group. In comparison of subgroups, the results of sexu al function in the LN-RE and RN-RE groups were similar to those in the L-RE and R-RE groups. Conversely, the RO-RE group showed slightly improved sexual functio n recovery than the LO-RE group 3 and 6 months post-surgery. 12 months after sur gery, no significant difference was observed between the two groups.”
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    University of Sao Paulo Medical School Reports Findings in Robotics (Robot-assis ted versus laparoscopic ileal ureteral replacement: systematic review and meta-a nalysis)

    17-18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 report. According to news reporting originating from Sao Paulo, Brazil, b y NewsRx correspondents, research stated, “Robot-assisted laparoscopic surgery ( RALS) and conventional laparoscopic surgery (LS) are the main options for ileal ureteral replacement (IUR). It is not clear which option is superior.” Our news editors obtained a quote from the research from the University of Sao P aulo Medical School, “The purpose of this study is to compare RALS and LS for IU R. We searched MEDLINE, Embase, Web of Science, Scopus, Cochrane Central, and Go ogle Scholar for studies comparing RALS and LS for IUR. The outcomes of interest are operative time, blood loss, postoperative stay, and Clavien-Dindo complicat ions. Meta-analysis was performed with Rev Man version 5.4. We included 36 patie nts from 3 studies. The mean age was 44 years, with 53% male patie nts. Blood loss (MD -89.13 cc, CI -129.03 to -49.22, I = 0%) was si gnificantly lower in patients undergoing RALS when comparing with LS. No differe nces were observed when comparing operative time (MD -10.99 minutes, CI -85.66 t o 63.59, p = 0.77, I = 64%), postoperative stay (MD -2.56 days, CI -8.24 to 3.13, p = 0.38, I = 30%), and postoperative complications (OR 1.63, CI 0.27 to 10.02, p = 0.60, I = 0%).”
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    Research Reports on Artificial Intelligence from University of Bridgeport Provid e New Insights (xLSTMTime: Long-Term Time Series Forecasting with xLSTM)

    17-17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 artific ial intelligence. According to news originating from Bridgeport, Connecticut, by NewsRx correspondents, research stated, “In recent years, transformer-based mod els have gained prominence in multivariate long-term time series forecasting (LT SF), demonstrating significant advancements despite facing challenges such as hi gh computational demands, difficulty in capturing temporal dynamics, and managin g long-term dependencies.” Our news correspondents obtained a quote from the research from University of Br idgeport: “The emergence of LTSF-Linear, with its straightforward linear archite cture, has notably outperformed transformerbased counterparts, prompting a reev aluation of the transformer’s utility in time series forecasting. In response, t his paper presents an adaptation of a recent architecture, termed extended LSTM (xLSTM), for LTSF. xLSTM incorporates exponential gating and a revised memory st ructure with higher capacity that has good potential for LTSF. Our adopted archi tecture for LTSF, termed xLSTMTime, surpasses current approaches. We compare xLS TMTime’s performance against various state-of-the-art models across multiple rea l-world datasets, demonstrating superior forecasting capabilities.”
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    Medical University of Vienna Reports Findings in Machine Learning (Improving Lam eness Detection in Cows: A Machine Learning Algorithm Application)

    18-19页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting originating in Vienna, Austria, by NewsR x journalists, research stated, “The deployment of diverse datagenerating techn ologies in livestock farming holds the promise of early disease detection and im proved animal well-being. In this paper, we combine routinely collected dairy fa rm and herd data with weather and high frequency sensor data from 6 farms to pre dict new lameness events in various future periods, spanning from the following day to 3 weeks.” The news reporters obtained a quote from the research from the Medical Universit y of Vienna, “A Random Forest classifier, using input features selected by the B oruta Algorithm, was used for the prediction task; effects of individual feature s were further assessed using partial dependence plots. We achieve precision sco res of up to 93% when predicting lameness for the next 3 weeks and when using information from the last 3 weeks, combined with a balanced accuracy of 79%. Removing sensor data results have tendency to reduce the p recision for predictions, especially when using information from the last one,2 or 3 weeks. Moving to a larger data set (without sensor data) of 44 farms keeps the similar balanced accuracy but reduces precision by more than 30% , revealing a substantial a trade-off in model quality between false positives ( false lameness alerts) and false negatives (missed lameness events).”
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