Fast Estimation of Loader’s Shovel Load Volume by 3D Reconstruction of Material Piles

Fast and accurate measurement of the volume of earthmoving materials is of great signifcance for the real-time evaluation of loader operation efciency and the realization of autonomous operation. Existing methods for volume measurement, such as total station-based methods, cannot measure the volume in real time, while the bucket-based method also has the disadvantage of poor universality. In this study, a fast estimation method for a loader’s shovel load volume by 3D reconstruction of material piles is proposed. First, a dense stereo matching method (QORB–MAPM) was proposed by integrating the improved quadtree ORB algorithm (QORB) and the maximum a posteriori probability model (MAPM), which achieves fast matching of feature points and dense 3D reconstruction of material piles. Second, the 3D point cloud model of the material piles before and after shoveling was registered and segmented to obtain the 3D point cloud model of the shoveling area, and the Alpha-shape algorithm of Delaunay triangulation was used to estimate the volume of the 3D point cloud model. Finally, a shovel loading volume measurement experiment was conducted under loose-soil working conditions. The results show that the shovel loading volume estimation method (QORB–MAPM VE) proposed in this study has higher estimation accuracy and less calculation time in volume estimation and bucket fll factor estimation, and it has signifcant theoretical research and engineering application value.

Study on Expected Mature Age of Individual Ailanthus altissima

This study was conducted on the analytic tree and got the fitting empirical equation of tree growth,in which the tree growth rate was used as the variable and time as the independent variable.The arithmetical operation to the function got the mature age of tree growth,and the expected mature age of Ailanthus altissima was 21 a.In addition,the application as well as the research direction and matters needing attention were proposed.

The Glutamatergic Postrhinal Cortex–Ventrolateral Orbitofrontal Cortex Pathway Regulates Spatial Memory Retrieval

A deficit in spatial memory has been taken as an early predictor of Alzheimer’s disease(AD) or mild cognitive impairment(MCI). The uncinate fasciculus(UF) is a long-range white-matter tract that connects the anterior temporal lobe with the orbitofrontal cortex(OFC)in primates. Previous studies have shown that the UF impairment associated with spatial memory deficits may be an important pathological change in aging and AD, but its exact role in spatial memory is not well understood. The pathway arising from the postrhinal cortex(POR) and projecting to the ventrolateral orbitofrontal cortex(vlOFC)performs most of the functions of the UF in rodents.Although the literature suggests an association between spatial memory and the regions connected by the POR–vlOFC pathway, the function of the pathway in spatialmemory is relatively unknown. To further illuminate the function of the UF in spatial memory, we dissected the POR–vlOFC pathway in mice. We determined that the POR–vlOFC pathway is a glutamatergic structure, and that glutamatergic neurons in the POR regulate spatial memory retrieval. We also demonstrated that the POR–vlOFC pathway specifically transmits spatial information to participate in memory retrieval. These findings provide a deeper understanding of UF function and dysfunction related to disorders of memory, as in MCI and AD.

Impaired Parahippocampal Gyrus-Orbitofrontal Cortex Circuit Associated with Visuospatial Memory Deficit as a Potential Biomarker and Interventional Approach for Alzheimer Disease

The parahippocampal gyrus-orbitofrontal cortex(PHG-OFC)circuit in humans is homologous to the postrhinal cortex(POR)-ventral lateral orbitofrontal cortex(vlOFC)circuit in rodents.Both are associated with visuospatial malfunctions in Alzheimer’s disease(AD).However,the underlying mechanisms remain to be elucidated.In this study,we explored the relationship between an impaired POR-vlOFC circuit and visuospatial memory deficits through retrograde tracing and in vivo local field potential recordings in 5XFAD mice,and investigated alterations of the PHG-OFC circuit by multi-domain magnetic resonance imaging(MRI)in patients on the AD spectrum.We demonstrated that an impaired glutamatergic POR-vlOFC circuit resulted in deficient visuospatial memory in 5XFAD mice.Moreover,MRI measurements of the PHG-OFC circuit had an accuracy of 77.33%for the classification of amnestic mild cognitive impairment converters versus non-converters.Thus,the PHG-OFC circuit explains the neuroanatomical basis of visuospatial memory deficits in AD,thereby providing a potential predictor for AD progression and a promising interventional approach for AD.

Can multi-modal neuroimaging evidence from hippocampus provide biomarkers for the progression of amnestic mild cognitive impairment?

Impaired structure and function of the hippocampus is a valuable predictor of progression from amnestic mild cognitive impairment（a MCI） to Alzheimer＇s disease（AD）. As a part of the medial temporal lobe memory system,the hippocampus is one of the brain regions affected earliest by AD neuropathology,and shows progressive degeneration as a MCI progresses to AD. Currently,no validated biomarkers can precisely predict the conversion from a MCI to AD. Therefore,there is a great need of sensitive tools for the early detection of AD progression. In this review,we summarize the specifi c structural and functional changes in the hippocampus from recent a MCI studies using neurophysiological and neuroimaging data. We suggest that a combination of advanced multi-modal neuroimaging measures in discovering biomarkers will provide more precise and sensitive measures of hippocampal changes than using only one of them. These will potentially affect early diagnosis and disease-modifying treatments. We propose a new sequential and progressive framework in which the impairment spreads from the integrity of fibers to volume and then to function in hippocampal subregions. Meanwhile,this is likely to be accompanied by progressive impairment of behavioral and neuropsychological performance in the progression of a MCI to AD.