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    New Machine Learning Data Have Been Reported by Investigators at Chinese Academy of Sciences (Evaluation of Machine Learning Method In Genomic Selection for Growth Traits of Pacific White Shrimp)

    76-77页
    查看更多>>摘要:2024 FEB 27 (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 reporting originating in Qingdao, People’s Republic of China, by NewsRx journalists, research stated, “The Pacific white shrimp is one of the most important species in the aquaculture industry worldwide, and the growth is regarded as primary trait for selective breeding programmes. In this study, the heritability and genetic correlation of two growth traits, including body length (BL) and the ratio of abdomen length to cephalothorax length (AL/CL) were analyzed, and the genomic prediction based on different genomic selection models including machine learning method were evaluated.” Funders for this research include Chinese Academy of Sciences, National Key R & D Program of China, Natural Science Foundation of Shandong Province, Taishan Scholars Program, Key Research and Development Program of Shandong, Earmarked fund for CARS-48.

    Bucharest University of Economic Studies Researchers Publish New Study Findings on Artificial Intelligence (Artificial Intelligence Adop- tion in the Workplace and Its Impact on the Upskilling and Reskilling Strategies)

    77-78页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intelligence have been published. According to news originating from Bucharest, Romania, by NewsRx correspondents, research stated, “The technology inno- vation, especially in the case of artificial intelligence, has significantly transformed the work processes and how they are organised and performed.” Our news journalists obtained a quote from the research from Bucharest University of Economic Studies: “Even if the adoption of advanced technologies usually leads to a higher work performance, there are risks of negative disruptions in the working systems, such as non-ethical use and social negative effects. The paper presents the results of an ethnographic research conducted by the authors, with the objective to identify the impact of the artificial intelligence adoption in the workplace on the professional knowledge and skills requirements and on the upskilling and reskilling strategies. Three different domains were considered: information technology, education, and scientific research. One relevant conclusion of the research is that knowledge and skills requirements should be studied from multiple perspectives, such as profession dynamics, not only from the technology innovation perspective. The research originality mainly consists in the way in which the concept of the level of upskilling/reskilling importance is defined and applied, based on professional knowledge and skills development requirements. By using the assessed level of upskilling/reskilling importance, strategies and related actions may be defined and undertaken.”

    New Robotics Research from McMaster University Discussed (Ac- tuators for Improving Robotic Arm Safety While Maintaining Per- formance: A Comparison Study)

    78-79页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on robotics is the subject of a new report. According to news reporting out of Hamilton, Canada, by NewsRx editors, research stated, “Since robotic arms operating close to people are becoming increasingly common, there is a need to better understand how they can be made safe when unintended contact occurs, while still providing the required performance. Several actuators and methods for improving robot safety are studied and compared in this paper.” The news editors obtained a quote from the research from McMaster University: “A robotic arm moving its end effector horizontally and colliding with a person’s head is simulated. The use of a conventional electric actuator (CEA), series elastic actuator (SEA), pneumatic actuator (PA) and hybrid pneumatic electric actuator (HPEA) with model-based controllers are studied. The addition of a compliant covering to the arm and the use of collision detection and reaction strategies are also studied. The simulations include sensor noise and modeling error to improve their realism. A systematic method for tuning the controllers fairly is proposed. The motion control performance and safety of the robot are quantified using root mean square error (RMSE) between the desired and actual joint angle trajectories and maximum impact force (MIF), respectively. The results show that the RMSE values are similar when the CEA, SEA, and HPEA drive the robot’s first joint.”

    Findings from Massachusetts Institute of Technology Provides New Data about Robotics and Automation (Robust Mader: Decentral- ized Multiagent Trajectory Planner Robust To Communication De- lay In Dynamic Environments)

    79-80页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Robotics and Automation have been presented. According to news reporting originating in Cambridge, Massachusetts, by NewsRx journalists, research stated, “Com- munication delays can be catastrophic for multiagent systems. However, most existing state-of-the-art multiagent trajectory planners assume perfect communication and therefore lack a strategy to rectify this issue in real-world environments.” Financial support for this research came from Boeing Research and Technology.

    Shandong University Reports Findings in Lung Cancer (Exploring pollutant joint effects in disease through interpretable machine learning)

    80-81页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Lung Cancer is the subject of a report. According to news reporting from Qingdao, People’s Republic of China, by NewsRx journalists, research stated, “Identifying the impact of pollutants on diseases is crucial. However, assessing the health risks posed by the interplay of multiple pollutants is challenging.” The news correspondents obtained a quote from the research from Shandong University, “This study introduces the concept of Pollutants Outcome Disease, integrating multidisciplinary knowledge and em- ploying explainable artificial intelligence (AI) to explore the joint effects of industrial pollutants on diseases. Using lung cancer as a representative case study, an extreme gradient boosting predictive model that in- tegrates meteorological, socio-economic, pollutants, and lung cancer statistical data is developed. The joint effects of industrial pollutants on lung cancer are identified and analyzed by employing the SHAP (Shapley Additive exPlanations) interpretable machine learning technique. Results reveal substantial spa- tial heterogeneity in emissions from CPG and ILC, highlighting pronounced nonlinear relationships among variables. The model yielded strong predictions (an R of 0.954, an RMSE of 4283, and an R of 0.911) and emphasized the impact of pollutant emission amounts on lung cancer responses. Diverse joint effects patterns were observed, varying in terms of patterns, regions (frequency), and the extent of antagonistic and synergistic effects among pollutants.”

    New Robotics Study Findings Have Been Reported by Investigators at University of Sao Paulo (Motion Planning of a Fish-like Piezo- electric Actuated Robot Using Model-based Predictive Control)

    81-82页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented in a new report. According to news reporting from Sao Carlos, Brazil, by NewsRx journalists, research stated, “This work proposes a novel methodology for planning the motion of fish-like soft robots actuated by macro-fiber composite (MFC) pairs. These structures should mimic oscillatory and undulation movements, which can be accomplished if the amplitude of the tail motion is larger than that of the head motion.” Funders for this research include Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP), Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES), Conselho Nacional de Desen- volvimento Cientifico e Tecnologico (CNPQ).

    Universidade Municipal de Sao Caetano do Sul Reports Findings in Schwannoma (Robotic-Assisted Resection of a Benign Schwannoma of the Obturator Nerve: A Rare Case)

    82-82页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Schwannoma is the subject of a report. According to news reporting from Sao Caetano do Sul, Brazil, by NewsRx journalists, research stated, “Neurilemmomas are rare tumors derived from the Schwann cells that comprise the peripheral nerve sheaths. They have a slow growth and rarely display malignancy.” The news correspondents obtained a quote from the research from Universidade Municipal de Sao Caetano do Sul, “Early diagnosis is rare, and the treatment consists by surgical resection. Although robotic-assisted surgery is commonly used for treating retroperitoneal diseases, there are few reports of resection of retroperitoneal and pelvic schwannoma through robotic-assisted surgery. In the present study, we reported a case of complete excision of a benign retroperitoneal schwannoma of the obturator nerve by robotic-assisted surgery. A 51-year-old woman was referred by her gynecologist for left pelvic discomfort of a 3-month duration. The physical examination was normal, but a computerized tomography scan of the abdomen and pelvis showed an expansive pelvic lesion in the topography of the left iliac vessels, a hypodense contrast enhancement measuring 4.6 × 3.4 cm. Magnetic resonance imaging showed an extraperitoneal lesion located medially and inferiorly to the left external iliac vessels, with a size of 4.9 × 3.7 cm, and of probable neural etiology. Surgical resection of the tumor was recommended because of the diagnostic hypothesis of obturator nerve schwannoma. This case showed that retroperitoneal neurilemmomas are difficult to diagnose owing to a lack of specific symptoms, and the best treatment is complete tumor resection.”

    Investigators from Michigan State University Target Machine Learn- ing (One Bead Per Residue Can Describe All-atom Structures)

    83-84页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from East Lansing, Michigan, by NewsRx journalists, research stated, “Atomistic resolution is the standard for high -resolution biomolecular structures, but experimental structural data are often at lower resolution. Coarse -grained models are also used extensively in computational studies to reach biologically relevant spatial and temporal scales.” Funders for this research include NIH National Institute of General Medical Sciences (NIGMS), National Science Foundation (NSF).

    Study Findings on Artificial Intelligence Are Outlined in Reports from Sunchon National University (Technological Tools and Artifi- cial Intelligence in Estrus Detection of Sows-A Comprehensive Re- view)

    83-83页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial intelligence have been published. According to news reporting from Suncheon, South Korea, by NewsRx journalists, research stated, “In animal farming, timely estrus detection and prediction of the best moment for insemination is crucial.” Our news correspondents obtained a quote from the research from Sunchon National University: “Tra- ditional sow estrus detection depends on the expertise of a farm attendant which can be inconsistent, time-consuming, and labor-intensive. Attempts and trials in developing and implementing technological tools to detect estrus have been explored by researchers. The objective of this review is to assess the automatic methods of estrus recognition in operation for sows and point out their strong and weak points to assist in developing new and improved detection systems. Real-time methods using body and vulvar temperature, posture recognition, and activity measurements show higher precision. Incorporating artificial intelligence with multiple estrus-related parameters is expected to enhance accuracy. Further development of new systems relies mostly upon the improved algorithm and accurate data provided.”

    Researchers at Jiangxi University of Science and Technology Report New Data on Field Robotics (Finite-time Command Filter Control for Dynamic Positioning of Remotely Operated Vehicles Based On Disturbance Observer)

    84-85页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics - Field Robotics are presented in a new report. According to news reporting originating in Ganzhou, People’s Republic of China, by NewsRx journalists, research stated, “To deal with the problems of low positioning accuracy and poor stability caused by model parameter uncertainty and external disturbances in the remotely operated vehicle (ROV) dynamic positioning control system, the adaptive fuzzy control is combined with a disturbance observer to estimate the lumped disturbances and the error compensation mechanism is introduced to design the ROV dynamic positioning controller based on the finite-time command filter.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China (NSFC).