查看更多>>摘要：Investigators publish new report on robotics. According to news reporting from Stellenbosch University by NewsRx journalists, research stated, "This study presents a novel approach to the design of cost-effective autonomous rovers using a heterogeneous computing architecture." The news editors obtained a quote from the research from Stellenbosch University: "The research focuses on the development and evaluation of an autonomous rover system, priced under $2 700 (USD), that can operate independently in various environments. The system's performance was assessed in realworld conditions, demonstrating an average speed of 0.5 m/s, an energy consumption of 0.2 kWh, and a decision-making error rate below 5%. The results suggest that the use of heterogeneous computing architectures can lead to the development of affordable and efficient autonomous navigation systems."
查看更多>>摘要：New research on Robotics is the subject of a report. According to news reporting out of Berkeley, California, by NewsRx editors, research stated, "This letter presents a differential geometric control approach that leverages SE(3) group invariance and equivariance to increase transferability in learning robot manipulation tasks that involve interaction with the environment. Specifically, we employ a control law and a learning representation framework that remain invariant under arbitrary SE(3) transformations of the manipulation task definition." Financial support for this research came from National Research Foundation of Korea.
查看更多>>摘要：Researchers detail new data in Machine Learning. According to news originating from University Park, Pennsylvania, by NewsRx correspondents, research stated, "Recently, rainfall-runoff simulations in small headwater basins have been improved by methodological advances such as deep neural networks (NNs) and hybrid physics-NN models-particularly, a genre called differentiable modeling that intermingles NNs with physics to learn relationships between variables. However, hydrologic routing simulations, necessary for simulating floods in stem rivers downstream of large heterogeneous basins, had not yet benefited from these advances and it was unclear if the routing process could be improved via coupled NNs." Funders for this research include United States Department of Energy (DOE), Cooperative Institute for Research, United States Department of Energy (DOE), U.S. Department of Interior, National Science Foundation (NSF).
查看更多>>摘要：New research on Nutritional and Metabolic Diseases and Conditions - Malnutrition is the subject of a report. According to news originating from Dhaka, Bangladesh, by NewsRx correspondents, research stated, "This paper presents an in-depth examination of malnutrition in women in Bangladesh. Malnutrition in women is a major public health issue related to different diseases and has negative repercussions for children, such as premature birth, decreased infection resistance, and an increased risk of death."
查看更多>>摘要：New research on Robotics is the subject of a report. According to news reporting out of Qingdao, People's Republic of China, by NewsRx editors, research stated, "The research on proximity sensing electronic skin has garnered significant attention. This electronic skin technology enables detection without physical contact and holds vast application prospects in areas such as human-robot collaboration, human-machine interfaces, and remote monitoring." Financial supporters for this research include National Natural Science Foundation of China, Taishan Scholar Foundation of Shandong Province.
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "This study uses the random forest machine learning algorithm to classify and predict Cr-spinel formation en-vironments in mafic-ultramafic rocks. Cr-spinel is an early-crystallized oxide phase in these rocks and exhibits significant compositional variations that provide valuable insights into their formation environments."
查看更多>>摘要：A new study on robotics is now available. According to news originating from Kawasaki, Japan, by NewsRx correspondents, research stated, "There are many studies analyzing human motion." Financial supporters for this research include Jsps Kakenhi; Waseda University Grant For Special Research Projects. The news reporters obtained a quote from the research from Meiji University: "However, we do not yet fully understand the mechanisms of our own bodies. We believe that mimicking human motion and function using a robot will help us to deepen our understanding of humans. Therefore, we focus on the characteristics of the human gait, and the goal is to realize a human-like bipedal gait that lands on its heels and takes off from its toes. In this study, we focus on kinematic synergy (planar covariation) in the lower limbs as a characteristic gait seen in humans. Planar covariation is that elevation angles at the thigh, shank, and foot in the sagittal plane are plotted on one plane when the angular data are plotted on the three axes. We propose this feature as a reward for reinforcement learning."
查看更多>>摘要：Investigators publish new report on robotics. According to news reporting from Belgrade, Serbia, by NewsRx journalists, research stated, "Emerging robotic systems with compliant characteristics, incorporating nonrigid links and/or elastic actuators, are opening new applications with advanced safety features, as well as improved performance and energy efficiency in contact tasks." Financial supporters for this research include Science Fund of The Republic of Serbia. Our news journalists obtained a quote from the research from University of Belgrade: "However, the complexity of such systems poses challenges in modeling and control due to their nonlinear nature and model variations over time. To address these challenges, the paper introduces Locally Weighted Projection Regression (LWPR) and its online learning capabilities to keep the model of compliant actuators accurate and enable the model-based controls to be more robust."
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting originating from Ankara, Turkey, by NewsRx correspondents, research stated, "Non-linear relationships at the genotype level are essential in understanding the genetic interactions of complex disease traits. Genome-wide association Studies (GWAS) have revealed statistical association of the SNPs in many complex diseases." Financial support for this research came from Turkiye Bilimsel ve Teknolojik Arastirma Kurumu. Our news editors obtained a quote from the research from the Graduate School of Informatics, "As GWAS results could not thoroughly reveal the genetic background of these disorders, Genome-Wide Interaction Studies have started to gain importance. In recent years, various statistical approaches, such as entropy-based methods, have been suggested for revealing these non-additive interactions between variants. This study presents a novel prioritization workflow integrating two-step Random Forest (RF) modeling and entropy analysis after PLINK filtering. PLINK-RF-RF workflow is followed by an entropy-based 3-way interaction information (3WII) method to capture the hidden patterns resulting from non-linear relationships between genotypes in Late-Onset Alzheimer Disease to discover early and differential diagnosis markers. Three models from different datasets are developed by integrating PLINK-RF-RF analysis and entropybased three-way interaction information (3WII) calculation method, which enables the detection of the third-order interactions, which are not primarily considered in epistatic interaction studies. A reduced SNP set is selected for all three datasets by 3WII analysis by PLINK filtering and prioritization of SNP with RF-RF modeling, promising as a model minimization approach. Among SNPs revealed by 3WII, 4 SNPs out of 19 from GenADA, 1 SNP out of 27 from ADNI, and 4 SNPs out of 106 from NCRAD are mapped to genes directly associated with Alzheimer Disease. Additionally, several SNPs are associated with other neurological disorders. Also, the genes the variants mapped to in all datasets are significantly enriched in calcium ion binding, extracellular matrix, external encapsulating structure, and RUNX1 regulates estrogen receptor-mediated transcription pathways. Therefore, these functional pathways are proposed for further examination for a possible LOAD association. Besides, all 3WII variants are proposed as candidate biomarkers for the genotyping-based LOAD diagnosis. The entropy approach performed in this study reveals the complex genetic interactions that significantly contribute to LOAD risk. We benefited from the entropy-based 3WII as a model minimization step and determined the significant 3-way interactions between the prioritized SNPs by PLINK-RF-RF."
查看更多>>摘要：Fresh data on robotics are presented in a new report. According to news reporting originating from Bucharest, Romania, by NewsRx correspondents, research stated, "The paper describes the development of an optimization model for the layout of an industrial robot relative to known locations of served machines and operations to be performed." The news correspondents obtained a quote from the research from University Politehnica of Bucharest: "Robotized material handling applications, defined by trajectories (paths, speed profiles) and final points, are considered in this research. An energy-monitoring framework set up by joint velocities provides input data that are fed to the optimization model. The physical placement of the robot base stands for the decisional variables, while the objective function is represented by the total distance covered by individual joints along established task routes transposed into energy consumption. The values of the decisional variables are restricted by trajectory constraints (waypoints on paths), joint operating values and link dimensions."
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