Optimal design of culling compensation policy under the African swine fever——Based on simulations of typical pig farms in China

This paper aims to optimize the culling compensation policy from a micro perspective through scenario simulation.Based on an investigation of 273 pig farms in eight regions,four typical pig farms were constructed according to farm size and breeding mode,representing the swine producers in China.Besides,a decision objective function of pig farms facing suspected African swine fever(ASF)outbreaks was constructed.This study used a mathematical programming model to design and simulate scenarios based on compensation standards and local implementation levels,aiming to incentivize pig farms to report epidemics.The results show that the optimal decisions on epidemic reports differed among typical farms and by herd daily age.The results suggest the following adjustments for optimizing culling compensation policies:(1)to set culling compensation standards based on the market value and(2)to maintain a high level of epidemic surveillance capability in the animal husbandry and veterinary sector.

3D Model Occlusion Culling Optimization Method Based on WebGPU Computing Pipeline

Nowadays,Web browsers have become an important carrier of 3D model visualization because of their convenience and portability.During the process of large-scale 3D model visualization based on Web scenes with the problems of slow rendering speed and low FPS(Frames Per Second),occlusion culling,as an important method for rendering optimization,can remove most of the occluded objects and improve rendering efficiency.The traditional occlusion culling algorithm(TOCA)is calculated by traversing all objects in the scene,which involves a large amount of repeated calculation and time consumption.To advance the rendering process and enhance rendering efficiency,this paper proposes an occlusion culling with three different optimization methods based on the WebGPU Computing Pipeline.Firstly,for the problem of large amounts of repeated calculation processes in TOCA,these units are moved from the CPU to the GPU for parallel computing,thereby accelerating the calculation of the Potential Visible Sets(PVS);Then,for the huge overhead of creating pipeline caused by too many 3D models in a certain scene,the Breaking Occlusion Culling Algorithm(BOCA)is introduced,which removes some nodes according to building a Hierarchical Bounding Volume(BVH)scene tree to reduce the overhead of creating pipelines;After that,the structure of the scene tree is transmitted to the GPU in the order of depth-first traversal and finally,the PVS is obtained by parallel computing.In the experiments,3D geological models with five different scales from 1:5,000 to 1:500,000 are used for testing.The results show that the proposed methods can reduce the time overhead of repeated calculation caused by the computing pipeline creation and scene tree recursive traversal in the occlusion culling algorithm effectively,with 97%rendering efficiency improvement compared with BOCA,thereby accelerating the rendering process on Web browsers.

Impact of Vaccination and Culling on Controlling Foot and Mouth Disease: A Mathematical Modelling Approach

Foot and mouth disease (FMD) is a major threat, not only to countries whose economies rely on agricultural exports, but also to industrialized countries that maintain a healthy domestic livestock industry by eliminating major infectious diseases from their livestock populations. In this paper a simple mathematical model is formulated and comprehensively analyzed to assess the impact of vaccination and culling on controlling FMD. Overally the study demonstrates that vaccination and culling are essential on controlling FMD if they are all implemented. Furthermore the study illustrates that culling latently infected (early detection of infected animals) is extremely important on controlling FMD dynamics.

Analysis of the lifetime and culling reasons for AI boars

Background: The aim of the study was to analyze the lifetime and culling reasons for boars used in insemination centers(AI centers).Methods: The data collected from 355 culled boars from 1998 to 2013 included: age at start of semen collection,boar herd life, culling reason, daily gain and lean meat content, and number of ejaculates not meeting sales requirements after dilution. Culling reasons were divided into 7 groups: low semen value(LSV), low or lack of libido(LL), leg problems(LP), infectious diseases(ID), old age(OA), reduced demand for semen from the given boar(RD),and others(OT).Results: The most common culling reasons for boars were LSV(23.7%) and RD(22.5%). It was observed that the lowest daily gains were noted in boars culled due to OA. Boars culled due to OA and RD were maintained in production for the longest time(over 1000 d), for LSV and ID retention was about 700 d, and due to LL below 400 d. The survival probability was over 0.9 until 1.5 yr, and just over 0.2 until 4 yr. The highest relative frequency was observed in the 36 ^(th) and 42 ^(nd) mo of life(over 16%). Hazard risk analysis revealed a more than 10 times higher risk of culling in the case of LL, ID or OT, in comparison to OA.Conclusions: The results can be used as a direct point of reference for the identification of emerging problems in AI boar exploitation and the development of an appropriate culling policy in AI centers.

Visibility Culling Algorithm with Hierarchical Adaptive Bounding Setting

Hierarchical adaptive bounding setting （HABS）, a novel algorithm to reduce potentially visible set, is designed to be Used for various geometry shape character in complex simulation scene to greatly improve geometry spatial storage precision. A spatial hierarchy tree is used to represent the topology of the model, and then the visibility geometry set from the viewpoint is determined by processing the hierarchy tree and frustum detection. In this process, HABS improves the viewpoint-to-region visibility detection efficiently. The algorithm is well-suited for complex models whose shape characters are various.

Occlusion Culling Algorithm Using Prefetching and Adaptive Level of Detail Technique

A novel approach that integrates occlusion culling within the view-dependent rendering framework is proposed. The algorithm uses the prioritized-layered projection（PLP） algorithm to occlude those obscured objects, and uses an approximate visibility technique to accurately and efficiently determine which objects will be visible in the coming future and prefetch those objects from disk before they are rendered, view-dependent rendering technique provides the ability to change level of detail over the surface seamlessly and smoothly in real-time according to cell solidity value.

通过包络面重构的大规模粒子并行绘制算法

针对大规模粒子高表现可视化需求,提出基于包络面重构的大规模粒子并行绘制算法。该算法以连续曲面的形式表示,绘制大规模粒子的团簇表面及其物理量分布。对算法进行了分布式并行化,从而可以通过大规模并行来处理亿以上规模的粒子数据。在算法实现上,还解决了并行计算时的块间裂缝问题,并提出了快速查找邻域粒子的方法,同时,基于可见性对粒子数据进行剔除,提高了绘制效率。由此,可以通过带光照效果的光滑曲面来高表现展示大规模粒子数据中的团簇结构及其物理量分布。实验结果表明,该算法在512核上可在5 s内完成上亿粒子的绘制,并行效率可达60%。该算法已成功应用到大规模并行非平衡分子动力学模拟等实际模拟应用中。

基于深度学习无人机影像道路实景三维修复

针对基于无人机倾斜影像实景三维重建中,移动目标对道路实景三维重建造成几何变形和纹理失真的问题,提出一种基于深度学习的无人机影像道路实景三维修复方法。首先,通过添加注意力机制的深度学习网络模型YOLOv8对影像中目标进行检测;其次,在得到影像对应目标标记的基础上,根据已生成三维Mesh模型中各三角面在可视影像集合中的投影位置,结合影像所标记目标的对应范围,统计各三角面的类别信息以此判定移动目标;最后,利用移动目标判定结果对移动目标造成的三维模型几何变形及纹理错误进行修复,实现道路实景三维重建。结果表明:改进的网络模型较YOLOv4、YOLOv5和YOLOv8模型,平均精度(mAP)值平均提升10.82%,移动目标判定准确率达97.43%。与流行国外商业软件相比,所提方法重建修复效果更佳,自动化程度更高。

基于Web3D的车间可视化系统设计与实现

针对当前三维可视化系统中存在的渲染速度慢、渲染效率低等问题,引入视锥体剔除渲染算法,基于Web3D技术设计了可视化车间系统。该系统采用B/S框架,利用Three.js技术实现场景的3D加载,实现了在浏览器上进行虚拟化仿真模拟。使用八叉树和轴对称包围盒的视锥体剔除渲染算法,提高了三维场景的渲染速度。并通过综合车间的实际验证,实现了车间设备的工作状态实时监控,生产数据展示更加立体、直观,有效提升了车间可视化系统运行效率和交互性能,满足了现代化车间的管理需求。

不同紫苏原料对贵州黑山羊血清抗氧化酶活性、瘤胃发酵参数、瘤胃微生物区系的影响

试验旨在分析不同紫苏原料对贵州黑山羊淘汰母羊瘤胃发酵参数、血清抗氧化酶活性、瘤胃微生物区系的影响,为开发紫苏及其副产物作为饲料资源在黑山羊淘汰母羊育肥中的应用提供技术支撑。选取32只年龄、体况相近的贵州黑山羊,随机分为1个对照组和3个处理组,饲喂不同全混合日粮颗粒饲料,分别为对照组(CK组)、紫苏秸秆组(S_(1)组)、紫苏饼粕组(S_(2)组)及紫苏种子组(S_(3)组),预试期14 d,试验期60 d,每30 d测定一次体重,试验结束后采集血液、瘤胃液,用于测定血清抗氧化酶活性、瘤胃发酵参数以及瘤胃微生物区系。结果显示:添加不同紫苏组分处理都能显著增加淘汰母羊育肥前期(0~30 d)日增重(P<0.05),其中S_(3)组增重最大,其次为S_(2)和S_(1)组;而育肥后期各组日增重差异不显著(P>0.05)。其次,S_(1)和S_(3)组均能显著提高血清样品超氧化物歧化酶活性(SOD)和丙二醛(MDA)含量(P<0.05),而过氧化氢酶(CAT)活性和总抗氧化能力(T-AOC)含量在各组间表现各不相同(P>0.05)。添加紫苏组分的试验组均能显著降低乙酸含量(P<0.05),丙酸、丁酸、异丁酸、戊酸、异戊酸和总挥发性脂肪酸含量在S_(2)、S_(3)和CK组中差异不显著(P>0.05),而在S_(1)组中相应有机酸含量均显著低于CK组(P<0.05)。氨态氮的含量在各组别间差异不显著(P>0.05)。通过高通量测序分析瘤胃微生物区系发现,不同处理对瘤胃微生物种类没有显著影响,而反应相同微生物物种丰度的Chao1指数和ACE指数在S_(1)与S_(3)间表现不相同,其中Chao1指数差异显著(P=0.047),而ACE指数差异不显著(P=0.062)。OTU检出S_(1)组>S_(2)组>CK组>S_(3)组,从门水平分析各试验组优势菌群丰度,各试验组优势菌群主要为厚壁菌门、拟杆菌门和变形菌门微生物,其中S_(2)和S_(3)组中厚壁菌门、拟杆菌门丰度总和略高于CK组,S_(1)、S_(2)和S_(3)组中变形菌门的丰度均低于CK组;属水平分析各试验组优势菌群主要为普雷沃氏菌属、奎因氏菌属、琥珀酸弧菌属以及不可培养的瘤胃微生物菌属,其中S_(1)、S_(2)和S_(3)组中不可培养瘤胃微生物丰度高于CK组。其余微生物丰度在各试验组中各不相同。上述结果表明,添加不同紫苏组分能够不同程度改善淘汰母羊前期育肥效果,以添加紫苏籽效果最佳,其原因可能是通过增加血清抗氧化能力、调节淘汰母羊对粗纤维和非纤维性碳水化合物的消化能力及调控瘤胃微生物区系的组成,进而改善淘汰母羊的育肥效果。

基于多策略融合灰狼算法的移动机器人路径规划

针对标准灰狼算法(GWO)在解决移动机器人路径规划问题时存在初始参数依赖性强、缺乏多样性及易陷入局部极值的缺陷,提出一种基于多策略融合灰狼算法(LTGWO)。首先运用精英化思想将Logistic-Tent复合混沌映射与反向学习结合,优化灰狼种群分布序列;然后引入sigmoid函数修改收敛因子a,平衡算法全局探索与局部开发能力,并改进控制参数C以更好地拟合灰狼实际捕猎过程;最后加入随适应度值变化的比例权重,提高灰狼个体搜索能力,同时采用种群淘汰策略,淘汰适应度值差的个体,促进种群进化。选用3组不同的栅格地图进行实验,实验结果表明:由LTGWO算法生成的平均路径长度、路径长度标准差都优于对比算法。

A1∑＋ State Lifetime and Predissociation of Cull

A combined cavity ringdown （CRD） and laser induced fluorescence （LIF） spectroscopic study on the A1∑＋-X1∑＋ transition of Cull has been presented. The Cull molecule, as well as its deuterated isotopologue CuD, are produced in a supersonic jet expansion by discharging H2 （or D2） and Ar gas mixtures using two copper needles. Different profiles of relative line intensities are observed between the measured LIF and CRD spectra, providing an experimental evidence for the predissociation behavior in the A1∑＋ state of Cull. The lifetimes of individual upper rotational levels are measured by LIF, in which the J＇-dependent predisso- ciation rates are obtained. Based on the previous theoretical calculations, a predissociation mechanism is concluded due to the strong spin-orbit coupling between the A1∑＋ state and the lowest-lying triplet 3∑＋ state, and a tunneling effect may also be involved in the predis- sociation. Similar experiments are also performed for CuD, showing that the A1∑＋ state of CuD does not undergo a predissociation process.

Productive Performance of Double-Muscled Piemontese Culled Cows in Finishing Period

The aims of the study were to evaluate productive performances and environmental impact of double-muscled Piemontese culled cows. In two trials, 39 Piemontese culled cows aged from 46 to 176 mon were fattened using diets commonly applied in farm conditions. The animals were weighed at the beginning and end of the trials. Concentrate and hay intake were recorded daily. After slaughtering, meat, fat and bone yields were recorded and dressing percentage was calculated. The backward linear regression model was employed for statistical analysis. Results showed average body weight （ABW） of cows as （556.97± 55.99） kg and relatively low dry matter intake （DMI） [（9.17± 0.35） kg d^-1] during the fattening period. The ratio between DMI and ABW, i.e., ratio between intake and weight （RIW）, （1.66±0.18）% was negatively influenced by initial body weight （IBW） and duration of finishing period （D）, but age had no effect on RIW. Average daily gain （ADG） was relatively low [（0.55 ±0.21） kg d^-1, and was negatively correlated with IBW and D, which implied that lower IBW and shorter D could have higher ADG and vice versa. The dressing percentage （DP） was （59.80± 1.83）% and the carcass red meat yield （MY） was （75.17±3.10）%. Nevertheless, N efficiency was very low [（4.35 ± 1.76）%], which must be considered in relation to environmental protection so both animal requirements and a well balanced diet need more attention. In conclusion when Piemontese cows will be culled and fattened, IBW and D should be considered carefully in order to get a reasonable ADG and N efficiency to guarantee productive benefits and environmental protection at the same time.

cull小议

近来有关禽流感的报道中经常用Ncun这个词，词典给cull下的定义是“为了减少或者限制数量，剔除动物，尤其是那些弱者”。cull这个词起源于拉丁语，然后进入法语，成了colligere，意思是“绑在一起”；从法语进入了英语，成了cull，原义是“选择植物或者砍伐树”，引申为“

Physical Conditions of Cull Sows Associated with On-Farm Production Records

Cull sow physical conditions were associated with on-farm production records. Sows (923) within one integrated U.S. production system were evaluated at two harvest facilities. Physical conditions evaluated at harvest were analyzed by parity, culling code and production measures. Farm culling codes were categorized into poor body condition (BC), old age (G), lameness (L), other (O), poor litter performance (P) and reproductive failure (R). Production measures included lifetime pigs born alive (LPBA), pigs born alive in the last litter (PBALL), pigs per sow per year (PSY) and weaning to culling interval. The L culling code had a greater (P < 0.05) prevalence of cracked hooves when compared to the other five culling codes (30.9% vs. 18.7%). Sows without front cracked hooves tended (P = 0.07) to have greater PSY (0.80) when compared to sows having front cracked hooves. Females without rear digital overgrowth had more (P < 0.05) PBALL (0.54) and tended (P = 0.06) to have increased PSY (0.80) when compared to sows with rear digital overgrowth. Sows without shoulder lesions had greater (P < 0.05) LPBA (2.01) when compared to sows with shoulder lesions. Regression coefficient estimates for percent lung lesion involvement were positive and tended (P < 0.10) to be different from zero for LPBA (0.06) and PSY (0.03). Females with severe teeth wear tended (P ≤ 0.10) to have fewer LPBA (1.36), PBALL (0.45) and had fewer (P < 0.01) PSY (1.10) when compared to sows without severe teeth wear. Sows culled for BC and L had lower (P < 0.01) backfat when compared to sows from the other four culling codes (1.83 and 2.04 cm vs. 2.47 to 2.85 cm, respectively). Multiple cull sow physical conditions evaluated at harvest had associations with on-farm reproductive measures.

Spatiotemporal changes in antlerless proportion of culled Sika deer in relation to deer density

Population management of herbivores is widely applied to decrease damage to forests in the northern hemisphere. Culling more antlerless deer, including females and fawns, is an effective means of reducing the population and helps to improve management efficiency. To increase the efficiency of antlerless-biased culling, we assessed the spatiotemporal distribution of the antlerless ratio in culled sika deer (Cervus nippon) in relation to population density. We hypothesized that the antlerless ratio is higher at the center of the distribution than at the margins of the deer’s range, because dispersal processes differ according to sex and age: Young male deer first disperse into an unoccupied area, and then males may become established in the new area for approximately 10–15 years before the number of females increases. A statistical model revealed spatiotemporal changes in the antlerless ratio of culled sika deer. The change in the ratio basically fit the density distribution of the deer, which was estimated independently on the basis of fecal pellet count surveys. The antlerless ratio estimated from the model increased asymptotically as deer density rose. The results support our hypothesis and suggest that antlerless sika deer will be more easily culled at the center rather than at the margins of the distribution range. These findings should help to increase the efficiency of managing the deer via antlerless-biased culling.

芝麻酱感官词典的开发和建立

为建立芝麻酱的感官词典,依据GB/T 16861-1997《感官分析通过多元分析方法鉴定和选择用于建立感官剖面的描述词》产生芝麻酱的感官描述词,以几何平均值法分析删减描述词以制作芝麻酱感官风味轮,以相关性分析和主成分分析提炼关键性描述词,对关键性描述词添加定义、寻找参比样并进行强度赋值以形成芝麻酱关键性感官属性定量描述词汇表。结果显示,最终提炼20个关键性描述词(7个气味描述词,8个风味描述词,3个口感描述词,2个外观描述词)对芝麻酱感官特征进行定量描述分析。通过芝麻酱感官词典获得了不同芝麻酱的感官属性特征,且不同产地和焙炒条件芝麻酱的感官特征存在差异,这验证了芝麻酱感官词典的有效性。芝麻酱感官词典的开发为芝麻酱感官评价体系的建立提供了基础。

基于Web的大规模三维空间模型高效可视化关键技术

在网络环境下客户端对大规模的三维空间模型进行可视化时仍存在着渲染时间长、计算量大等诸多问题,表现为模型遮挡剔除计算效率低、模型数据传输效率低以及渲染不同模型时存在性能和质量不平衡问题等方面。针对上述问题,提出了针对不同的空间模型剔除粒度的优化选择策略、基于WebGPU计算管线的遮挡剔除算法和基于多线程的大规模三维空间模型数据快速调度方案,降低了离线遮挡剔除方法的预处理时间消耗,提高了模型切换的效率和场景渲染的速率。开发了基于Web的大规模三维空间模型可视化原型系统,开展了不同尺度的三维模型加载与可视化实验,结果表明,本文方法可以有效减少网络环境下大规模三维空间模型数据可视化的加载和渲染时间,增强用户体验。

基于热红外与可见光图像融合的生菜水分胁迫指数模型研究

为了准确提取作物冠层温度,监测作物水分亏缺状态,以不同水分处理的生菜为研究对象,分别利用手持式热像仪和佳能相机获取生菜的热红外和可见光图像,计算生菜冠层可见光图像与热红外图像的仿射变换参数,并进行配准融合,以获取生菜冠层区域的热红外图像,而后计算不同处理下的基于冠层温度的水分胁迫指数(Crop Water Stress Index, CWSI)与日蒸散量(Evapotranspiration,ET),分析不同灌溉处理下CWSI同ET的相关关系来监测生菜水分亏缺程度。结果表明,基于仿射变换的热红外目标提取方法可以实现生菜冠层的准确提取,剔除背景后生菜冠层的平均温度值由20.25℃下降至19.25℃。不同水分处理下的生菜热红外冠层的CWSI值展示出明显的差异,且CWSI与ET呈显著负相关,当CWSI越大,ET越小,表明CWSI可以应用在生菜水分胁迫状态监测,能够很好的反应土壤水分含量变化状况。

腹腔镜下子宫肌瘤剔除术治疗子宫肌瘤的可行性及对患者卵巢功能的影响

目的 探究腹腔镜下子宫肌瘤剔除术应用于子宫肌瘤患者的治疗效果及对患者卵巢功能的改善作用。方法 选取2020年6月—2022年1月淄博市妇幼保健院接受子宫肌瘤剔除术的56例子宫肌瘤患者为研究对象,依据随机数表法分为对照组与观察组,各28例。对照组行开腹子宫肌瘤剔除术,观察组行腹腔镜下子宫肌瘤剔除术。两组均术后随访6个月。比较两组围术期、卵巢功能等相关指标。结果 观察组术后排气、住院时间短于对照组,差异有统计学意义(P<0.05)。相较于术前,术后3、6个月两组血清促卵泡生成素(follicle-stimulating hormone, FSH)、促黄体生成素(luteinizing hormone, LH)、雌二醇(estradiol, E2)水平,均呈下降趋势,且观察组更低于对照组,差异有统计学意义(P<0.05);术后3、6个月两组患者血清抗苗勒氏管激素(anti-müllerian hormone, AMH)水平均升高,观察组更高于对照组,差异有统计学意义(P<0.05)。观察组患者术后并发症总发生率10.71%低于对照组的35.71%,差异有统计学意义(P<0.05)。两组手术时间、术中出血量、子宫肌瘤复发情况对比,差异无统计学意义(P>0.05)。结论 腹腔镜下子宫肌瘤剔除术能够有效缩短患者住院天数,降低对其卵巢功能的影响及术后并发症发生率。