Precise reconstruction of the morphological structure of the soybean canopy and acquisition of plant traits have great theoretical significance and practical value for soybean variety selection, scientific cultivation, and fine management. Since it is difficult to obtain all-around information on living plants with traditional single or binocular machine vision, this paper proposes a three-dimensional (3D) method of reconstructing the soybean canopy for calculation of phenotypic traits based on multivision. First, a multivision acquisition system based on the Kinect sensor was constructed to obtain all-around point cloud data of soybean in three viewpoints, with different fertility stages of soybean as the research object. Second, conditional filtering and K-nearest neighbor filtering (KNN) algorithms were used to preprocess the raw 3D point cloud. The point clouds were matched and fused by the random sample consensus (RANSAC) and iterative closest point (ICP) algorithms to accomplish the 3D reconstruction of the soybean canopy. Finally, the plant height, leafstalk angle and crown width of soybean were calculated based on the 3D reconstruction of soybean canopy. The experimental results showed that the average deviations of the method was 2.84 cm, 4.0866° and 0.0213 m, respectively. The determination coefficients between the calculated values and measured values were 0.984, 0.9195 and 0.9235. The average deviation of the RANSAC + ICP was 0.0323, which was 0.0214 lower thanthe value calculated by the ICP algorithm. The results enable the precise 3D reconstruction of living soybean plants and quantitative detection for phenotypic traits.
In2TiO5, containing both early transition metal (d(0)) and p-block metal (d(10)), is a very promising candidate for possible application in H2 production because of its suitable edges of conduction and valence bands and the crystal structure, which is considered to favor mobility of charge carriers. Herein we report, for the first time, the synthesis of novel oxygen vacancies (OV), N-doped In2TiO5 (OV,N-In2TiO5) with controllable band gap. The resultant OV,N-In2TiO5 sample was prepared by a multistep sol-gel calcination process and studied as a near-infrared (NIR) light-driven photocatalyst for H2 production. OV and N-doping can effectively extend the photoresponse of In2TiO5 to the NIR region due to an interband springboard and the reduced band gap, thus leading to efficient NIR light photocatalytic H2 production activity with Pt as a cocatalyst.
The research of soybean canopy morphology had important theoretical significance and practical application value for clarifying the growth and development law of soybean. In order to quantitatively and dynamically describe the growth and development, Dongnong252 soybean was used as the research object. A soybean phenotype acquisition system based on Kinect sensor was used to achieve high-precision and non-destructive acquisition of soybean canopy images during the whole growth period. The Intrinsic Shape Signatures-Coherent Point Drift (ISS-PCD) combined with the Iterative Closest Point (ICP) algorithm was used to reconstruct the three-dimensional (3D) canopy structure of soybean with multiple perspectives, which provided a reliable basis for plant stem and leaf segmentation. The accuracy of plant stem and leaf segmentation was 85.64% by Distance-field-based segmentation pipeline (DFSP) algorithm, which provided accurate information for extracting and calculating 3D phenotypic parameters such as plant height, crown width, stem thickness, leaf length and leaf width from three scales of whole plant, stem and leaf. By analyzing the quantitative relationship between phenotypic parameters and physiological development time of soybean, the Richards equation was used to construct a simulation model of soybean leaf length, maximum leaf width, plant height, crown width and stem thickness. The results showed that the Coefficient of determination R2 value of each soybean simulation model reached above 0.9357, which improved the goodness of fit of the model by 0.03 compared with the Logistic model. The Root Mean Square Error (RMSE) of the model ranged from 0.0020 to 0.1112, indicating that the simulation model had high accuracy, predictability and reliability. It could understand the dynamic changes of soybean organs in different periods from vegetative growth to reproductive growth, and take reasonable measures to accurately manage according to the dynamic changes. This research provided important references for dynamic prediction of soybean plant growth, cultivation management, and plant type design, and had certain biological significance for exploring soybean growth law.
Objective:The aim of this study is to investigate the changes and correlation of tinnitus and depression in adult patients with severe deafness after cochlear implantation. Methods:A total of 166 adult patients who underwent cochlear implantation（CI） were retrospectively selected as the research objects. All patients were investigated by Chinese Version of the Tinnitus Handicap Inventory（THI-C） and Chinese Version of the Beck Depression Inventory-Ⅱ（BDI-Ⅱ-C） before and after operation, and the improvement of tinnitus after operation was observed THI-C and BDI-Ⅱ-C scores before and after operation and the correlation between them. Results:Re-examination at 6 months after CI showed that the evaluation grade of tinnitus disability before and after the operation decreased significantly（Z=-9.478, P<0.001）, and the THI-C score （t=69.128, P<0.001）, and BDI-Ⅱ-C score （t=58.531，P<0.01）were significantly reduced. Spearman correlation analysis showed that there was a significant positive correlation between THI-C and BDI-Ⅱ-C scores before and after operation, aswell as the improvement of THI-C score and BDI-Ⅱ-C score（rpreoperative=0.763, rpostoperative=0.741, rdifference=0.741, all P<0.001）. Conclusion:Cochlear implantation can significantly improve tinnitus and depression in adult patients with sensorineural hearing loss. With the improvement of tinnitus, the depressive state of patients can be alleviated accordingly.目的：探讨成人重度、极重度耳聋患者耳蜗植入术（CI）后耳鸣和抑郁状态的变化及其相关性。 方法：回顾性选择166例行CI的成人患者作为研究对象，所有患者手术前后均接受中文版耳鸣残疾评估量表（THI-C）调查和贝克抑郁量表第2版中文版（BDI-Ⅱ-C）调查，观察患者术后耳鸣改善情况、手术前后THI-C和BDI-Ⅱ-C得分情况以及两者之间的相关性。 结果：CI术后6个月复查，患者手术前后耳鸣残疾评估等级显著下降（Z=-9.478，P<0.001），THI-C评分（t=69.128，P<0.001）、BDI-Ⅱ-C评分（t=58.531，P<0.01）均显著降低。Spearman相关性分析显示，手术前、后THI-C和BDI-Ⅱ-C评分之间以及THI-C评分改善程度和BDI-Ⅱ-C评分改善程度之间均具有显著正相关性（r术前=0.763、r术后=0.741、r差值=0.741，均P<0.001）。 结论：CI能显著改善成人感音神经性聋患者的耳鸣和抑郁程度。随着耳鸣程度的改善，患者抑郁状态也得以相应缓解。.
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