以废弃水稻秸秆为原料制备氢气试验研究

随着化石能源的大量消耗和环境危害的日益加剧,开发清洁高效的可再生能源得到了广泛的关注。由于发热量高且对环境无污染,氢能受到人们的重视,氢气制备得到了广泛的发展。生物制氢法利用生物技术分解有机废弃物(如稻草秸秆)制备氢气,该工艺方法具有设备简单、操作容易成本低等优点。为此,本实验以废弃水稻秸秆为原料,使用连续搅拌釜式反应器进行反应制备氢气,研究p H和水力停留时间(HRT)对废弃水稻秸秆发酵产氢的影响。     

ZigBee和线阵CCD技术在西藏智能温室中的应用

利用西藏地区太阳能丰富的优势,采用太阳能资源为主要供能方式,为智能温室系统构建基于Zig Bee协议的无线传感网络和nRF2401无线传感器的双层无线通信网络,以减少西藏地区有线布线成本和解决温室群控制问题。同时,在传统智能温室中结合线阵CCD技术,为智能温室系统提供实时、直观的作物生长状况数据,有效提高对温室内环境因素的监控效率及温室智能自动化控制程度,以满足现代化高效节约型农业的发展形势需求,以及西藏地区特定的地理环境对于农业自动化的需求。     

杏果输送过程中定向稳定性的试验研究-基于正交试验

杏果输送过程中定向稳定性问题的关键所在是寻找影响定向成功率的主要因素,将各影响因素经过科学的组合对比,找到最佳组合,提高水果在实际生产过程中的定向成功率。为此,利用正交试验、高速摄像仪和动应变测量系统相结合的方法确定影响杏果定向成功率的主要因素,即入口通道宽度(D)、夹持带的速度大小(V)、杏子尺寸大小(I)。通过正交对比试验,得知底部输送带采用齿皮带时比光皮带的定向效果好,最佳试验因素组合是D=30mm、V=1.29m/s、I=34~35mm。利用高速摄像观测统计发现:杏果大部分在定向通道的第3区域达到定向稳定。考虑夹持片对输送带振动影响的情况下,统计出杏子的定向稳定区域主要集中于输送通道的第3区域,为杏子切刀的位置选择提供了依据。     

基于FEM-SPH耦合算法的土壤切削仿真研究

建立了旋耕刀和土壤的FEM-SPH耦合仿真模型,基于FEM-SPH耦合算法,采用MAT147土壤材料和国家标准Ⅲ型旋耕刀,结合LS-DYNA971求解器,对土壤切削仿真进行了研究。对旋耕刀切削土壤的耕作过程进行了数值仿真模拟分析,得到了切削力和切土能耗随时间的变化曲线;计算出旋耕刀单刀切土扭矩为8.75N·m,与试验结果接近。通过正交试验分析,耕作深度为主导因子,对切土功率影响较大,调整耕作深度可有效降低土壤切削的功耗,提高耕作效率。研究表明:FEM-SPH耦合算法可有效应用于土壤切削仿真,可为研究土壤的破碎机理和耕作器具的优化设计提供理论依据。     

4LMZ160型履带式苎麻联合收割机的研究

分析了我国苎麻联合收割机现状及存在的问题,设计了适合我国苎麻主产区收获作业的履带式苎麻联合收割机,并对样机的关键部件进行了详细说明。该机一次可完成割幅160mm收割,整机转弯半径小,操作方便,对麻地高垄有较好适应性。其整机结构配置新颖独特,使用半喂入稻麦联合收获机底盘,采用全液压传动技术直接驱动苎麻收割机行走和机具作业,可一次性完成切割、输送、收集功能。田间性能测试结果表明:该机漏割率、割茬高度、作业小时生产率等各项性能指标均到达设计要求。     

整秆式甘蔗收获机内物流排杂高速摄影分析

为了研究整秆式甘蔗收获机内物流排杂运动机理,研制了甘蔗收获机内物流排杂试验台,并利用高速摄像机拍摄了甘蔗与蔗叶在物流通道内的运动全过程,并对图像进行分析。结果表明,甘蔗在物流运动过程中发生弹跳、扭转和弯曲变形,在剥叶运动过程中发生断尾,并且通过排杂装置将蔗叶与甘蔗分离后排出。通过建立甘蔗收获机内各部件元件与甘蔗、蔗叶的简化力学模型,结合甘蔗和蔗叶的力学特性分析了甘蔗和蔗叶在物流通道内的运动机理。甘蔗在物流运动中主要受到的作用力为各部件对甘蔗的轴向力、垂直于甘蔗运动方向的切向力和摩擦力。     

常德市经济型酒店发展的SWOT分析

经济型酒店在全国各地目前的发展是如雨后春笋般崛地而起,发展势头惊人,在大城市得到较好发展后,现在中小城市遍地开花,而因"水土不服"等各方面的因素而发展受挫,出现了一系列混乱竞争、恶性定价等现象。以及各大连锁品牌酒店的入驻,加上本地原有的中、低星级酒店及本土经济型酒店,使得经济型酒店在中小城市的竞争日趋激烈,如何能在新市场中立于不败之地,这是经济型酒店在发展过程中亟待解决的重要问题。此次研究以常德市经济型酒店发展的为例,运用SWOT方法对发展常德市经济型酒店发展的优势、劣势、机遇及威胁进行了分析,并提出常德市经济型酒店发展的对策和措施。     

Effects of dietary lysozyme levels on growth performance,intestinal morphology,non‐specific immunity and mRNA expression in weanling piglets

The aim of the present study was to determine the effect of dietary lysozyme levels on growth performance, gut health and non‐specific immunity of weanling piglets. A total of 150 weanling piglets were allocated to six treatments. The piglets were fed the same basel diet supplemented with 0, 30, 60, 90 and 120 mg/kg lysozyme as well as antibiotics for 28 days. From day 14 to day 28 of dietary treatment, piglets fed 90 mg/kg lysozyme had greater average daily gain than piglets fed control diet. During the whole experimental period, piglets fed 120 mg/kg lysozyme tended to have greater average daily gain than piglets fed control diet. Compared with piglets fed control diet, piglets fed diets containing antibiotics and 90 mg/kg lysozyme had greater villus height to crypt depth ratio in duodenum and jejunum. Additionally, dietary supplementation of 60 and 90 mg/kg lysozyme as well as antibiotics enhanced the phagocytic activity of peritoneal macrophages in piglets. In conclusion, dietary lysozyme can accelerate the growth of weanling piglets by improving gut health and non‐specific immunity and supplementing 90 mg/kg lysozyme is as effective as antibiotics (20 mg/kg colistin sulphate + 50 mg/kg kitasamycin) in improving the growth performance of weanling piglets.     

The effect of lactic acid bacterial starter culture and chemical additives on wilted rice straw silage

Lactic acid bacteria (LAB) are suitable for rice straw silage fermentation, but have been studied rarely, and rice straw as raw material for ensiling is difficult because of its disadvantages, such as low nutrition for microbial activities and low abundances of natural populations of LAB. So we investigated the effect of application of LAB and chemical additives on the fermentation quality and microbial community of wilted rice straw silage. Treatment with chemical additives increased the concentrations of crude protein (CP), water soluble carbohydrate (WSC), acetic acid and lactic acid, reduced the concentrations of acid detergent fiber (ADF) and neutral detergent fiber (NDF), but did not effectively inhibit the growth of spoilage organisms. Inoculation with LABs did not improve the nutritional value of the silage because of poor growth of LABs in wilted rice straw. Inoculation with LAB and addition of chemical materials improved the quality of silage similar to the effects of addition of chemical materials alone. Growth of aerobic and facultatively anaerobic bacteria was inhibited by this mixed treatment and the LAB gradually dominated the microbial community. In summary, the fermentation quality of wilted rice straw silage had improved by addition of LAB and chemical materials.     

INVITED REVIEW—IMAGE REGISTRATION IN VETERINARY RADIATION ONCOLOGY: INDICATIONS,IMPLICATIONS, AND FUTURE ADVANCES

The field of veterinary radiation therapy (RT) has gained substantial momentum in recent decades with significant advances in conformal treatment planning, image‐guided radiation therapy (IGRT), and intensity‐modulated (IMRT) techniques. At the root of these advancements lie improvements in tumor imaging, image alignment (registration), target volume delineation, and identification of critical structures. Image registration has been widely used to combine information from multimodality images such as computerized tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) to improve the accuracy of radiation delivery and reliably identify tumor‐bearing areas. Many different techniques have been applied in image registration. This review provides an overview of medical image registration in RT and its applications in veterinary oncology. A summary of the most commonly used approaches in human and veterinary medicine is presented along with their current use in IGRT and adaptive radiation therapy (ART). It is important to realize that registration does not guarantee that target volumes, such as the gross tumor volume (GTV), are correctly identified on the image being registered, as limitations unique to registration algorithms exist. Research involving novel registration frameworks for automatic segmentation of tumor volumes is ongoing and comparative oncology programs offer a unique opportunity to test the efficacy of proposed algorithms.