查看更多>>摘要：Investigators publish new report on computational intelligence. According to news reporting from Tokyo, Japan, by NewsRx journalists, research stated, “This paper proposes a personal values modeling method that does not require attribute ratings.” Funders for this research include Japan Society For The Promotion of Science. Our news editors obtained a quote from the research from Tokyo Metropolitan University: “The proposed method is applied to memory-based and model-based collaborative filtering (CF) to demonstrate its effectiveness. A recent trend in CF is to introduce additional factors than interaction history. A rate matching rate (RMRate) has been proposed for modeling user’s personal values, and it has been shown to be effective in increasing diversity and recommending niche (long-tail or unpopular) items. However, RMRate needs an attribute-level evaluations in addition to rating (total evaluation) to items, which limits its applicability. To obtain users’ personal values model only from a rating matrix, this paper defines users’ personal values as their tendency to select popular/unpopular items and reputable/unreputable items. Ten attributes are proposed to model user’s personal values, all of which can be calculated from a rating matrix without additional information.”
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news originating from Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “Although the sorption of antibiotics in soil has been extensively studied, their spatial distribution patterns and sorption mechanisms still need to be clarified, which hinders the assessment of antibiotic resistance risk. In this study, machine learning was employed to develop the models for predicting the soil sorption behavior of three classes of antibiotics (sulfonamides, tetracyclines, and fluoroquinolones) in 255 soils with 2203 data points.” Our news journalists obtained a quote from the research from Chongqing University, “The optimal independent models obtained an accurate predictive performance with R of 0.942 to 0.977 and RMSE of 0.051 to 0.210 on test sets compared to combined models. Besides, a global map of the antibiotic sorption capacity of soil predicted with the optimal models revealed that the sorption potential of fluoroquinolones was the highest, followed by tetracyclines and sulfonamides. Additionally, 14.3% of regions had higher antibiotic sorption potential, mainly in East and South Asia, Central Siberia, Western Europe, South America, and Central North America. Moreover, a risk index calculated with the antibiotic sorption capacity of soil and population density indicated that about 3.6% of soils worldwide have a high risk of resistance, especially in South and East Asia with high population densities.”
查看更多>>摘要：Data detailed on Robotics have been presented. According to news originating from Toowoomba, Australia, by NewsRx correspondents, research stated, “This investigation explores an approach for tactile sensing to guide a knife attached to a robot to cut red meat. During cutting, the discrimination of tissue types and the approach to tissue interfaces is an important factor in this variable, deforming medium.” Financial support for this research came from University of South-ern Queensland. Our news journalists obtained a quote from the research from the University of Southern Queensland, “Using a force sensor attached to a standard knife controlled by a 6-axis robotic manipulator, cuts were performed to a depth of approximately 20 mm across striploin chops. Force patterns showed significant similarity in cross-correlation analysis, with an 80-97% correlation coefficient. The force sensor reading exhibited identifiable patterns that could be tracked to pinpoint critical stages of the cutting process, validating the potential of tactile sensing in meat processing.”
查看更多>>摘要：Data detailed on Machine Learning have been presented. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “In this study, a novel framework was presented for accelerating the prediction of the mechanical response of honeycomb structures under dynamic crushing, using 2D cells to surrogate 3D honeycomb structures by machine learning (ML). The sizes of different honeycomb structures were designed and the necessary training data obtained through finite element (FE) simulations, but without using any explicit design parameters of the honeycomb cells in the ML model.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Science and Technology innovation Program of Beijing institute of technology, State Key Laboratory of Explosion Science and Technology (Beijing Institute of Technology), Academic Start-up Program for Young Teachers (Beijing Institute of Technology), Sci-ence and Technology Innovation Program of Beijing institute of tech-nology.
查看更多>>摘要：Researchers detail new data in robotics. According to news originating from Iasi, Romania, by NewsRx editors, the research stated, “This paper focuses on a topic that is frequently used nowadays namely 3D printing.” The news correspondents obtained a quote from the research from Faculty of Machine Manufacturing and Industrial Management: “The term 3D printing encompasses several manufacturing technologies that build parts layer-by-layer an inconvenience of this process is that the deposition of material takes place in the plane (2D space) then by applying a constant increment on the third axis it is moved to the next plane. The deposition of material is taking part in a 2D space. There are many types of 3D printing such as FDM (fused deposition modeling), SLA (stereolitography), SLS (selective laser sintering), DMLS (direct metal laser sintering), DLP (digital light process), EBM (electron beam melting). Typically these applications involve low-volumes and complex geometries. Often, components for aerospace and medical applications are ideal candidates for production 3D printing.”
查看更多>>摘要：Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Columbus, Ohio, by NewsRx editors, research stated, “The objective of this study was to explore the feasibility of current 3D reconstruction in assessing the position of maxillary impacted canines from 2D panoramic X-rays. A dataset was created using pre-treatment CBCT data from a total of 123 patients, comprising 74 patients with impacted canines and 49 patients without impacted canines.” Financial supporters for this research include Ohio State University College of Dentistry. Our news correspondents obtained a quote from the research from Ohio State University: “From all 74 subjects, we generated a dataset containing paired 2D panoramic X-rays and pseudo-3D images. This pseudo-3D image contained information about the location of the impacted canine in the buccal/lingual, mesial/distal, and apical/coronal positions. These data were utilized to train a deep-learning reconstruction algorithm, a generative AI. The location of the crown of the maxillary impacted canine was determined based on the output of the algorithm. The reconstruction was evaluated using the structure similarity index measure (SSIM) as a metric to indicate the quality of the reconstruction. The prediction of the impacted canine’s location was assessed in both the mesiodistal and buccolingual directions. The reconstruction algorithm predicts the position of the impacted canine in the buccal, middle, or lingual position with 41% accuracy, while the mesial and distal positions are predicted with 55% accuracy.”
查看更多>>摘要：Investigators discuss new findings in Machine Learning. According to news reporting out of Clayton, Australia, by NewsRx editors, research stated, “We present a novel approach that determines the location and dip of geologic structures by clustering Euler deconvolution depth solutions using DensityBased Spatial Clustering Applications with Noise (DBSCAN). This method and workflow rely on the association of changes in the location and relationships between Euler depth clusters and cluster boundaries with changes in rock susceptibility.” Financial supporters for this research include Australian Society of Exploration Geophysics Foundation Grant, Geological Survey Victoria, Australian Society of Exploration Geophysics Foundation, Monash-IITB scholarship. Our news journalists obtained a quote from the research from Monash University, “We applied our method to global magnetic and high-resolution aeromagnetic datasets over Phanerozoic-Precambrian zonebounding faults in west and central Victoria. The architecture of these structures at different scales from this imaging technique is comparable to interpreted 2D seismic reflection data. The results from the global magnetic data resolved the architecture of these structures below 5 km, while the aeromagnetic data used were limited to structural information of faults above 2 km depth. Therefore, this method shows the structural relationship of the west-dipping Avoca Fault that soles into the east-dipping Moyston Fault at a depth of similar to 22 km in central Victoria and at a shallower depth of similar to 15 km southward beneath the Quaternary basaltic rocks of the Newer Volcanic Province. In the vicinity of the Heathcote Zone, the method resolves the location, dip, and overprinting relationship between faults and extrusive rocks, such as the relationship between the Heathcote and Mount William Faults and the granitic Cobaw Batholith. We show how combining magnetic data at various scales can track faults from the near-surface to deeper roots while avoiding possible over-interpretation. We demonstrate how to optimise the DBSCAN parameters and a sensitivity analysis of how to determine clusters and cluster boundaries that are geologically relevant in the absence of geological constraints.”
查看更多>>摘要：Investigators discuss new findings in Artificial Intelligence. According to news reporting from Devon, United Kingdom, by NewsRx journalists, research stated, “Advancements in Artificial Intelligence (AI) have led to the development of autonomous decision-making processes, allowing customers to delegate decisions and tasks. Such technologies have the potential to alter the retailing landscape.” The news correspondents obtained a quote from the research from the University of Exeter, “Grounded in the unified theory of acceptance and use of technology and Hofstede’s cultural theory, this article investigates customers’ adoption of AI-based autonomous decision-making processes by analyzing 454 customer responses using covariance-based structural equation modeling. The results reveal that effort expectancy, performance expectancy, facilitating conditions, and social influence are positively associated with customers’ adoption of autonomous decision-making processes. Collectivism strengthened the positive association of social influence with customer attitude, whereas uncertainty avoidance dampened the associations of performance expectancy, effort expectancy, and social influence with attitude.”
查看更多>>摘要：Investigators discuss new findings in Robotics. According to news reporting out of Iowa City, Iowa, by NewsRx editors, research stated, “Traditional robots are characterized by rigid structures, which restrict their range of motion and their application in environments where complex movements and safe human-robot interactions are required. Soft robots inspired by nature and characterized by soft compliant materials have emerged as an exciting alternative in unstructured environments.” Financial supporters for this research include United States Department of Defense, Office of Naval Research, Iowa State University. Our news journalists obtained a quote from the research from the University of Iowa, “However, the use of multicomponent actuators with low power/weight ratios has prevented the development of truly bioinspired soft robots. Octopodes’ limbs contain layers of muscular hydrostats, which provide them with a nearly limitless range of motions. In this work, we propose octopus-inspired muscular hydrostats powered by an emerging class of artificial muscles called twisted and coiled artificial muscles (TCAMs). TCAMs are fabricated by twisting and coiling inexpensive fibers, can sustain stresses up to 60 MPa, and provide tensile strokes of nearly 50% with <0.2 V/cm of input voltage. These artificial muscles overcome the limitations of other actuators in terms of cost, power, and portability. We developed four different configurations of muscular hydrostats with TCAMs arranged in different orientations to reproduce the main motions of octopodes’ arms: shortening, torsion, bending, and extension. We also assembled an untethered waterproof device with on-board control, sensing, actuation, and a power source for driving our hydrostats underwater.”
查看更多>>摘要：Research findings on Machine Learning are discussed in a new report. According to news originating from Puebla, Mexico, by NewsRx correspondents, research stated, “Experimentally, the standard molar enthalpy of formation in the crystalline phase at 298.15 K, Delta H-f(m)degrees(cr) for 7-methoxy-4-methylcoumarin (7M4MC) was calculated by traditional linear regression, which was obtained by combustion calorimetry. Similarly, the standard molar enthalpy of sublimation was determined through the standard molar enthalpy of fusion and by the standard molar enthalpy of vaporization, from differential scanning calorimetry and thermogravimetry, respectively; lately using these results, the standard molar enthalpy of formation in the gas phase was calculated at 298.15 K, Delta H-f(m)degrees(g).” Funders for this research include Consejo Nacional de Ciencia y Tecnologia (CONACyT), Consejo Nacional de Ciencia y Tecnologia (CONACyT), VIEP-BUAP. Our news journalists obtained a quote from the research from the Benemerita University Autonoma of Puebla, “In addition ML was used to predict the standard molar enthalpy of formation in the gas phase for the 7M4MC, constructing an experimental data set containing three kinds of functional groups: esters, coumarins, and aromatic compounds. The procedure was performed by using multiple linear regression algorithms and stochastic gradient descent with a R-2 of 0.99. The obtained models were used to compare those predicted values versus experimental for coumarins, resulting in an average error rate of 9.0%.”
NETL
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Fuji Technology Press Ltd
Elsevier
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Taylor & Francis
IEEE
Mary Ann Liebert, Inc
Amer Chemical Soc