查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on robotics have bee n published. According to news reporting originating from Suzhou, People's Repub lic of China, by NewsRx correspondents, research stated, "Octopus tentacles are equipped with numerous suckers, wherein the muscles contract and expel air, crea ting a pressure difference." Funders for this research include Natural Science Foundation of Jiangsu Province ; National Natural Science Foundation of China; State Key Laboratory of Robotics And System; Hui-chun Chin And Tsungdao Lee Chinese Undergraduate Research Endow ment. The news correspondents obtained a quote from the research from Soochow Universi ty: "Subsequently, when the muscular tension is released, objects can be securel y adhered to. This mechanism has been widely employed in the development of adhe sive systems. However, most existing octopus-inspired structures are passive and static, lacking dynamic and controllable adhesive switching capabilities and ex cellent locomotion performance. Here, we present an octopus-inspired soft robot (OISR). Attracted by the magnetic gradient field, the suction cup structure insi de the OISR can generate a strong adsorption force, producing dynamically contro llable adsorption and separation in the gastrointestinal (GI) tract. The experim ental results show that the OISR has a variety of controllable locomotion behavi ors, including quick scrolling and rolling motions, generating fast locomotion r esponses, rolling over gastric folds, and tumbling and swimming inside liquids."
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 artificial intelligence. According to news reporting originating from Los Alamos , New Mexico, by NewsRx correspondents, research stated, "Despite uranium dioxid e (UO2) being a widely used nuclear fuel, fuel performance models rely extensive ly on empirical correlations of material behavior, leveraging the historical ope rating experience of UO2. Mechanistic models that consider an atomistic understa nding of the processes governing fuel performance (such as fission gas release a nd creep) will enable a better description of fuel behavior under non-prototypic al conditions such as in new reactor concepts or for modified UO2 fuel compositi ons." Our news journalists obtained a quote from the research from Los Alamos National Laboratory: "To this end, molecular dynamics simulation is a powerful tool for rapidly predicting physical properties of proposed fuel candidates. However, the reliability of these simulations depends largely on the accuracy of the atomic forces. Traditionally, these forces are computed using either a classical force field (FF) or density functional theory (DFT). While DFT is relatively accurate, the computational cost is burdensome, especially for f-electron elements, such as actinides. By contrast, classical FFs are computationally efficient but are l ess accurate. For these reasons, we report a new accurate machine learning inter atomic potential (MLIP) for UO2 that provides high-fidelity reproduction of DFT forces at a similar low cost to classical FFs. We employ an active learning appr oach that autonomously augments the DFT training data set to iteratively refine the MLIP."
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 - Arthroplasty is the subject of a report. According to news reporting out of Indianapolis, Un ited States, by NewsRx editors, research stated, "Robotic-assisted total knee ar throplasty (TKA) has been developed to improve functional outcomes after TKA by increasing surgical precision of bone cuts and soft tissue balancing, thereby re ducing outliers. The DePuy Synthes VELYS? Robotic Assisted Solution (VRAS), is o ne of the latest entrants in the robotic TKA market." Financial support for this research came from DePuy Synthes. Our news journalists obtained a quote from the research, "Currently, there is li mited evidence investigating early patient and economic outcomes associated with the use of VRAS. The Premier Healthcare Database was analyzed to identify patie nts undergoing manual TKA with any implant system compared to a cohort of roboti c-assisted TKAs using VRAS between September 1, 2021, and February 28, 2023. The primary outcome was all cause and knee related all-setting revisits within 90-d ays post TKA. Secondary outcomes included number of inpatient revisits (readmiss ion), operating room time, discharge status, and hospital costs. Baseline covari ate differences between the two cohorts were balanced using fine stratification methodology and analyzed using generalized linear models. The cohorts included 8 66 VRAS and 128,643 manual TKAs that had 90-day follow-up data. The rates of bot h all-cause and knee-related allsetting follow up visits were significantly low er in the VRAS cohort compared to the manual TKA cohort (13.86% vs . 17.19%; Mean Difference (MD): -3.34 [95% CI: -5.65 to -1.03] and 2.66% vs. 4.81% ; MD: -2.15 [-3.23 to -1.08], respectively , p-value <0.01) at 90-day follow-up. The incidence of kne e-related inpatient readmission was also significantly lower (53%) for VRAS compared to manual TKA. There was no significant difference between tot al cost of care at 90-day follow-up between VRAS and manual TKA cases. On averag e, the operating room time was higher for VRAS compared to manual TKA (138 vs. 1 34 minutes). In addition, the discharge status and revision rates were similar b etween the cohorts. The use of VRAS for TKA is associated with lower follow up v isits and knee related readmission rates in the first 90 days postoperative."
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 Fort Collins, Colorado, by NewsRx editors, research stated, "This study compares the performance of five se lected machine learning models regarding precipitation climatology during the wa rm season in 2022 and 2023 over the continental U.S. Input features included ret rieved products from the microwave integrated retrieval system (MiRS) based on N OAA-20 ATMS data." Funders for this research include Noaa; Cooperative Institute For Research in Th e Atmosphere; Colorado State University; Cooperative Institute For Satellite And Earth System Studies; University of Maryland/, earth System Science Interdiscipl inary Center.
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 Wuhan, People's Repu blic of China, by NewsRx editors, research stated, "Owing to its high pozzolanic reactivity and contribution to packing density, silica fume is almost an indisp ensable part of UHPC, but it brings potentially serious problem of high autogeno us shrinkage. Nanocellulose (NC) is very effective in controlling shrinkage but would also result in different microstructure, whose impact is not clear." Funders for this research include National Natural Science Foundation of China ( NSFC), Hubei Province Key research and development plan. Our news journalists obtained a quote from the research from Wuhan University, " This study aims to explore the compensatory effect of NC on high shrinkage of UH PC. An image process method based on machine learning and stereological methods is proposed to quantify the autogenous shrinkage induced microcracks. Results sh ow that the addition of NC reduces the crack width and area by 57.45 similar to 70.55% and 63.2-83.8%, respectively. The MIP analysis reveals that the incorporation of NC introduces a larger proportion of pores. I n terms of mechanical properties, the higher content of pores brought by NC has a negative effect on compressive strength, however, the enhancement of flexural strength by NC can reach 66.02%. Excellent correlations between 0 a nd 50 nm porosity and compressive strength, crack density and flexural strength are observed with R-2 of 0.94 and 0.98 respectively."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Madrid , Spain, by NewsRx journalists, research stated, "PurposeShort-term rentals (STR s) (like Airbnb) are reshaping social behaviour, notably in gastronomy, altering how people dine while travelling. This study delves into revenue management, ex amining the impact of seasonality and dining options near guests' Airbnb."
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 originating from Beijing, People's Republic of China, by Ne wsRx correspondents, research stated, "Nowadays, the robotic mobile fulfillment system (RMFS) has been increasingly used by online retailers. Compared with trad itional picker -to -parts warehouses, the racks of RMFS do not have to return to the same location after picking, thus we can dynamically change their locations , which brings great potential to efficiently fulfill orders." Funders for this research include National Natural Science Foundation of China ( NSFC), China Postdoctoral Science Foundation.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on artificial intelligence have been published. According to news originating from Al-Iraqia University by NewsRx correspondents, research stated, "Bagging constitutes a prominent ensembl e learning technique in contemporary machine learning." The news reporters obtained a quote from the research from Al-Iraqia University: "With this process, various instances of the base model are trained using vario us subsets of the training data that are extracted by bootstrapping. The resulti ng models are then aggregated, often through voting in a classification problem, to enhance performance and predictive power. Recent advances in bagging techniq ues include variants such as Random Forests, which introduce additional randomne ss by selecting a random subset of features in each partition and boosting algor ithms that iteratively optimize the model's focus on misclassified instances. Th e efficacy of these strategies in enhancing the generality and adaptability of m achine learning models has been impressive. There are many studies that confirm the ability of ensemble learning models to detect phishing attacks. However, the techniques used by these models that have enhanced their detection capabilities have not been highlighted."
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 Sikkim, India, by Ne wsRx editors, research stated, "Rainfall plays a vital role in the field of agri culture as it affects agricultural production and associated economy. However, t he changing trend of rainfall has become a global concern." Our news journalists obtained a quote from the research from Central Agricultura l University, "So the study of changes in the trend of rainfall is necessary. In the present study, an innovative trend analysis method was adopted to assess th e changing trend in the state of Nagaland. Data of 40 years was taken for perfor ming the trend analysis using ITA. The entire process of trend change analysis w as automated using Python programming. The analysis indicated that out of the 11 stations considered, three stations indicated a rising trend, eight indicated f alling trends (annual), four rising and seven falling (monsoon), 0 rising and 11 falling (winter). The extent of trend change varied from -34.5 to 1.1. The spat ial distribution of the trend change was also performed. It was observed that th e southeast part of Nagaland's rising trend was more pronounced compared to the southwest. The change was more prominent during the winter season followed by pr e-monsoon and monsoon."
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 originating in Nanjing, People's Re public of China, by NewsRx journalists, research stated, "Computational thinking (CT) is crucial for students. Robot-supported learning has emerged as a popular approach for CT cultivation." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Humanities and Social Sciences Program of the Ministry of Ed ucation, Philosophy and Social Science Research project of Jiangsu Higher Educat ion, The 14th Five -Year Plan of Jiangsu Provincial Education Science.
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