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关键词： 速生桉   造林技术   广西国有高峰林场  

摘要： 广西国有高峰林场速生桉产业为当地带来了极大的生态效益与经济效益。为了提升速生桉造林经济效益,以广西国有高峰林场速生桉造林技术为例,结合速生桉的生物特性,从科学育苗、造林栽植、病虫害防治等方面论述速生桉造林技术要点。

关键词： 延胡索   浸润切片   烘干   工艺流程   操作要点  

摘要： 陕西省城固县是全国最大的延胡索种植区,2023年延胡索种植面积9.98万亩。近年来,延胡索价格一路上涨,当前市价42元/kg(鲜品),处于历史高位。延胡索切片加工过程中,会因为“二次浸润”、切制造成成分流失,损耗增大。针对此,总结了延胡索切片加工技术要点,为延胡索切片提供参考依据。

关键词： 建筑节能   建筑围护结构   建筑冷负荷   敏感性分析  

摘要： 确定关键的围护结构热工参数有助于既有建筑的节能改造和建筑节能设计。本研究以六安某公寓建筑为例,使用EnergyPlus软件对该公寓进行数值建模。通过正交实验的方法,确定了不同围护结构因素对该建筑冷负荷的影响程度:综合窗墙比>外窗太阳得热系数SHGC>外墙传热系数>外遮阳投影因子。进一步,采用敏感性分析法对综合窗墙比和外窗太阳得热系数进行分析。研究结果显示,综合窗墙比的敏感性系数约0.2573,而外窗太阳得热系数的敏感性系数约为0.182。为建筑节能改造与建筑节能设计工程中的围护结构参数的选择和调整提供了理论依据。

关键词： 饲料配比   防疫措施   饲养密度   养殖场户   节粮型   药物残留   家鹅   化学添加剂  

摘要： 家鹅是由鸿雁和灰雁驯化而来,其主要以鲜草为食,对谷物类饲料的依赖性较低,是一种节粮型家禽。家鹅的抗病力较强,不需要使用过多的药物和化学添加剂,因此鹅肉中的药物残留也较少,且鹅肉富含蛋白质,符合现代人的健康消费理念,具有较好的市场前景。然而,由于养殖场户缺乏雏鹅饲养保健方面的知识,养殖过程中存在温度和湿度控制不合理、防疫措施不到位、饲料配比不当、光照不足、饲养密度过大等问题,导致雏鹅的成活率较低,严重影响了养殖效益,因此如何提高雏鹅成活率是一个亟待解决的问题。

关键词： 巡检机器人   行走机构   稳定性   电机  

摘要： 随着数字化转型的推进,煤矿行业对巡检机器人的需求不断增长。在巡检机器人的设计中,行走机构的设计尤为关键,因为煤矿工作环境特殊,对行走机构有着严格的要求。为了确保机器人在煤矿环境中稳定、可靠地工作,需要对行走机构的受力情况进行精确计算,并论证了设计的可行性。

关键词： Particulate systems   Granular material   Particle-based method   DEM   Thermomechanical   MATLAB   MODELS  

摘要： Accurate multiphysics simulations of particle -formed materials are required in various engineering applications. The Discrete Element Method (DEM) stands out for its ability to capture the complex behavior of such materials. However, the multitude of particle interaction models and parameters involved pose challenges for analysts and researchers. DEMLab addresses this issue as an open -source MATLAB software that offers a user-friendly environment for exploring DEM models in small to medium -scale problems. With a modular and extensible code, it facilitates immediate implementations for testing different formulations or developing new ones. This paper details the software capabilities and how it impacts academic activities.

关键词： Type-2 intuitionistic fuzzy solid transportation problem   Linear programming problem   Matlab   Solution   Software   PSK theorem   NUMBERS  

摘要： It presents the type-2 intuitionistic fuzzy solid transportation problem (type-2 IFSTP) in a real-world situation and introduces an efficient technique based on software codes for solving type-2 IFSTP. It defines various types of intuitionistic fuzzy solid transportation problems (IFSTPs) and presents a mathematical model of full and type-2 IFSTPs. Additionally, the theorem, corollary, and their proof, as well as some results relevant to type-2 IFSTPs, are presented. Both the existing problem's solution and the proposed type-2 IFSTP's solution are compared using software (e.g., Matlab). In particular, solving IFSTPs using Matlab is new in the literature. Shortcomings in the existing results are pointed out and solved. Using the proposed approach, the optimal solution and optimal objective value of both the solid transportation problem (STP) and type-2 IFSTPs are obtained concurrently with one LP model, which is the key objective of this article. It also discusses the time complexity of the existing algorithms for solving STPs with different intuitionistic fuzzy numbers (IFNs). Both the proposed results and the benefits of the proposed methodology are thoroughly discussed. Finally, a sound conclusion and future research directions are provided.

关键词： MATLAB  

摘要： This article presents svds-C, an open-source and high-performance C program for accurately and robustly computing truncated SVD, e.g. computing several largest singular values and corresponding singular vectors. We have re-implemented the algorithm of svds in Matlab in C based on MKL or OpenBLAS and multi-thread computing to obtain the parallel program named svds-C. svds-C running on shared-memory computer consumes less time and memory than svds thanks to careful implementation of multi-thread parallelization and memory management. Numerical experiments on different test cases which are synthetically generated or directly from real-world datasets show that, svds-C runs remarkably faster than svds with averagely 4.7X and at most 12X speedup for 16-thread parallel computing on a computer with Intel CPU, while preserving same accuracy and consuming about half memory space. Experimental results also demonstrate that svds-C has similar advantages over svds on the computer with AMD CPU, and outperforms other state-of-the-art algorithms for truncated SVD on computing time and robustness. © 2024 The Author(s)

关键词： Predictive models   Mechanical properties   Polymer nanocomposites   Particle agglomeration   Bone tissue engineering   NANOPARTICLES AGGREGATION/AGGLOMERATION   FIBROUS SCAFFOLDS   NANOCOMPOSITES   BEHAVIOR   FABRICATION   COMPOSITES   NETWORK   FIBERS  

摘要： Computational modeling is a new approach to optimize Young's modulus of scaffolds by performing a minimal number of experiments. However, presenting a modeling algorithm to predict Young's modulus and characterize the governing parameters is a challenging task. Here, a novel modeling approach has been proposed to estimate Young's modulus of scaffolds, considering particle agglomeration and interphase interactions. Employing the characteristic parameters of these two phenomena, we modified the Maxwell model using a simple three-step algorithm to determine the optimal value of these parameters and predict Young's modulus. Interestingly, the model provides a precision of more than 95% for all the studied cases and presents a remarkably better performance compared to the two other models. For instance, the proposed model has reduced the average absolute relative error of Young's modulus of poly (3-hydroxybutyrate)-keratin/hydroxyapatite nanorods from 25.1% to 0.08%, demonstrating the high efficiency of this model in predicting Young's modulus of scaffolds. The results of this study could lighten the way of fabricating nanobiocomposites with optimal mechanical properties, spending lower cost and energy. (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic). (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(

关键词： MATLAB  

摘要： Background: The fractal dimension (FD) is a valuable tool for analysing the complexity of neural structures and functions in the human brain. To assess the spatiotemporal complexity of brain activations derived from electroencephalogram (EEG) signals, the fractal dimension index (FDI) was developed. This measure integrates two distinct complexity metrics: 1) integration FD, which calculates the FD of the spatiotemporal coordinates of all significantly active EEG sources (4DFD); and 2) differentiation FD, determined by the complexity of the temporal evolution of the spatial distribution of cortical activations (3DFD), estimated via the Higuchi FD [HFD(3DFD)]. The final FDI value is the product of these two measurements: 4DFD × HFD(3DFD). Although FDI has shown utility in various research on neurological and neurodegenerative disorders, existing literature lacks standardized implementation methods and accessible coding resources, limiting wider adoption within the field. Methods: We introduce an open-source MATLAB software named FDI for measuring FDI values in EEG datasets. Results: By using CUDA for leveraging the GPU massive parallelism to optimize performance, our software facilitates efficient processing of large-scale EEG data while ensuring compatibility with pre-processed data from widely used tools such as Brainstorm and EEGLab. Additionally, we illustrate the applicability of FDI by demonstrating its usage in two neuroimaging studies. Access to the MATLAB source code and a precompiled executable for Windows system is provided freely. Conclusions: With these resources, neuroscientists can readily apply FDI to investigate cortical activity complexity within their own studies. © 2024 The Authors