查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A robot, designed to mimic the motion of a snail, has been developed by researchers at the University of Bristol. Adding to the increasing innovative new ways robots can navigate, the team, base d at the Bristol Robotics Laboratory, fitted the robot with a sliding suction me chanism enabling the device to slide on water, a substitute of a snail's mucus w hich also acts as an adhesive. The study, which was published in the journal of Nature Communications, shows a novel way for robots to scale walls easily, potentially changing how difficult-t o-access surfaces such as blades of wind turbines, hulls of ships, aircrafts and glass windows of skyscrapers are autonomously inspected. These features also en dow sliding suction with great potential for future applications in robotic fiel ds, including industrial gripping, climbing, outdoor and transportation. Snails can stably slide across a surface with only a single high-payload sucker, offering an efficient adhesive locomotion mechanism for next-generation climbin g robots. The critical factor for snails' sliding suction behaviour is mucus sec retion, which reduces friction and enhances suction.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Machine Learning have be en published. According to news reporting originating from Ithaca, New York, by NewsRx correspondents, research stated, "Sinus node dysfunction because of abnor mal impulse generation or sinoatrial conduction block causes bradycardia that ca n be difficult to differentiate from high parasympathetic/low sympathetic modula tion (HP/LSM). Beat-to-beat relationships of sinus node dysfunction are quantifi ably distinguishable by Poincar & eacute; plots, machine learning, and 3-dimensional density grid analysis."
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-Thyroid Can cer is the subject of a report. According to news reporting originating from Nan chang, People's Republic of China, by NewsRx correspondents, research stated, "T he TNFRSF9 molecule is pivotal in thyroid carcinoma (THCA) development. This stu dy utilizes Pathomics techniques to predict TNFRSF9 expression in THCA tissue an d explore its molecular mechanisms." Our news editors obtained a quote from the research from Nanchang University, "T ranscriptome data, pathology images, and clinical information from the cancer ge nome atlas (TCGA) were analyzed. Image segmentation and feature extraction were performed using the OTSU's algorithm and pyradiomics package. The dataset was sp lit for training and validation. Features were selected using maximum relevance minimum redundancy recursive feature elimination (mRMR_RFE) and mod eling conducted with the gradient boosting machine (GBM) algorithm. Model evalua tion included receiver operating characteristic curve (ROC) analysis. The Pathom ics model output a probabilistic pathomics score (PS) for gene expression predic tion, with its prognostic value assessed in TNFRSF9 expression groups. Subsequen t analysis involved gene set variation analysis (GSVA), immune gene expression, cell abundance, immunotherapy susceptibility, and gene mutation analysis. High T NFRSF9 expression correlated with worsened progression-free interval (PFI) and a cted as an independent risk factor [hazard ratio (HR) = 2.178 , 95% confidence interval (CI) 1.045-4.538, P = 0.038] . Nine pathohistological features were identified. The GBM Pathomics model demon strated good prediction efficacy [area under the curve (AUC) 0.819 and 0.769] and clinical benefits. High PS was a PFI ris k factor (HR = 2.156, 95% CI 1.047-4.440, P = 0.037). Patients wit h high PS potentially exhibited enriched pathways, increased TIGIT gene expressi on, Tregs infiltration (P <0.0001), and higher rates of ge ne mutations (BRAF, TTN, TG)."
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 reporting out of Sao Jos e dos Campos, Brazil, by NewsRx editors, research stated, "Helical piles are adv antageous alternatives in constructions subjected to high tractions in their fou ndations, like transmission towers." Funders for this research include Coordination of Superior Level Staff Improveme nt. The news journalists obtained a quote from the research from Aeronautics Institu te of Technology: "Installation torque is a key parameter to define installation equipment and the final depth of the helical pile. This work applies machine le arning (ML) techniques to predict helical pile installation torque based on info rmation from 707 installation reports, including Standard Penetration Test (SPT) data. It uses this information to build three datasets to train and test eight machine-learning techniques. Decision tree (DT) was the worst technique for comp aring performances, and cubist (CUB) was the best. Pile length was the most impo rtant variable, while soil type had little relevance for predictions. Prediction s become more accurate for torque values greater than 8 kNm."
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 from Tabriz, Iran, by NewsR x journalists, research stated, "The amount of rainfall in different regions is influenced by various factors, including time, place, climate, and geography." Our news journalists obtained a quote from the research from University of Tabri z: "In the Lake Urmia basin, Mediterranean air masses significantly impact preci pitation. This study aimed to model precipitation in the Lake Urmia basin using monthly rainfall data from 16 meteorological stations and five machine learning methods (RF, M5, SVR, GPR, and KNN). Eight input scenarios were considered, incl uding the monthly index, longitude, latitude, altitude, distance from stations t o Lake Urmia, and distance from the Mediterranean Sea. The results revealed that the random forest model consistently outperformed the other models, with a corr elation rate of 0.968 and the lowest errors (RMSE = 5.66 mm and MAE = 4.03 mm). This indicates its high accuracy in modeling precipitation in this basin. This s tudy's significant contribution is its ability to accurately model monthly preci pitation using spatial variables and monthly indexes without measuring precipita tion."
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 out of Florence, Italy, by NewsRx edi tors, research stated, "Benefits and harms of avoid the sent placement during In traCorporeal Neobladder configuration are still debated. Our objective was to de scribe the stepby- step technique of Florence intracorporeal neobladder (FloRIN) configuration performed with stentless procedure focusing on perioperative and mid-term functional outcomes."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Artificial In telligence. According to news originating from Beijing, People's Republic of Chi na, by NewsRx correspondents, research stated, "Train timetabling plays a major role in railway planning processes, serving as a link between service providers and commuters to ensure reliable service delivery. However, mathematical optimiz ation application to expansive subway systems is uncertain due to challenges in coordinating multiple lines, the necessity for integration with passenger demand , and multi-modal coordination."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting from London, United Ki ngdom, by NewsRx journalists, research stated, "Obstructive sleep apnea (OSA) is a common chronic disorder characterized by repeated breathing pauses during sle ep caused by upper airway narrowing or collapse. The gold standard for OSA diagn osis is the polysomnography test, which is time consuming, expensive, and invasi ve."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on robotics are presented i n a new report. According to news originating from Peter the Great St. Petersbur g Polytechnic University by NewsRx correspondents, research stated, "Background. The topic of the article is timely." The news reporters obtained a quote from the research from Peter the Great St. P etersburg Polytechnic University: "Many interesting and technically quite feasib le ideas in equipping the stage were not implemented in the theater due to the l ack of direct groundwork and limited time resources. Problem statement. Generali zation of the latest experience in the field of theatrical machinery requires ra ising the issue to the level of an interdisciplinary scientific direction based on mechanics, mechatronics and robotics.Purpose. The need to implement the incr easingly complex ideas of performance directors in a modern theater requires the improvement of demonstration equipment, primarily theatrical machinery based on new scientific achievements and modern technical means of mechanization and aut omation. Research methods. Special stage robots can have a very different appear ance, for example, they can be zoomorphic or anthropomorphic, but while maintain ing the style of constructivism, they can have a man-made appearance. Such robot s can perform complex movements, while they usually have numerous moving parts w ith independent drives. To provide flexible motion control capabilities with a f ocus on spectator perception, it is required to use microprocessor control with coordination from central control computers. Results."
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 Machine Learning. According to news reporting originating from Harbin, People's Republi c of China, by NewsRx correspondents, research stated, "Bio-oil is widely used a nd has great application potential. With the development of artificial intellige nce, machine learning has been gradually applied in the field of biomass, the da ta augmentation method is a common operation method for training models in the f ield of computer or data processing." Funders for this research include National "Belt and Road" Innovative Talent Exc hange Program for Foreign Experts, National Natural Science Foundation of China (NSFC), Natural Science Foundation of Heilongjiang Province.
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