基于Construct 3的射击类游戏设计与开发——以飞机大战为例

Construct 3作为小而精的H5跨平台游戏引擎,强大的交互性和用户友好性使其在2D游戏开发方面独具优势。借助Construct 3重构经典射击类游戏“飞机大战”,通过Event Sheet实现游戏中背景循环滚动、动画导入、角色创建与随机运动、游戏难度控制、游戏变量控制等主要功能。经过测试,游戏可打包发布成Web、移动设备和PC端.exe格式,游戏交互、特效运行流畅,游戏变量与难度控制处于合理范围。

3D Model Construction and Ecological Environment Investigation on a Regional Scale Using UAV Remote Sensing

The acquisition of digital regional-scale information and ecological environmental data has high requirements for structural texture,spatial res-olution,and multiple parameter categories,which is challenging to achieve using satellite remote sensing.Considering the convenient,facilitative,and flexible characteristics of UAV(unmanned air vehicle)remote sensing tech-nology,this study selects a campus as a typical research area and uses the Pegasus D2000 equipped with a D-MSPC2000 multi-spectral camera and a CAM3000 aerial camera to acquire oblique images and multi-spectral data.Using professional software,including Context Capture,ENVI,and ArcGIS,a 3D(three-dimensional)campus model,a digital orthophoto map,and multi-spectral remote sensing map drawing are realized,and the geometric accuracy of typical feature selection is evaluated.Based on a quantitative remote sensing model,the campus ecological environment assessment is performed from the perspectives of vegetation and water body.The results presented in this study could be of great significance to the scientific management and sustainable development of regional natural resources.

“新工科”背景下建筑设计人才“3+3+3”培养模式的建构

“新工科”国家战略的推动下,我国高等院校建筑人才培养面临新的挑战,建筑设计人才培养体系、培养质量与“新工科”建设愿景仍存在差距。该研究借鉴新加坡高等教育发展历程以及新加坡国立大学建筑设计人才培养内涵,探析如何在“新工科”背景下推动建筑设计人才培养模式的建构,以培养主体、培养途径、培养层级三要素为建筑设计人才培养框架,创新性提出“3+3+3”多层级建筑人才培养模式,以期为“新工科”战略的实施提供高素质建筑设计人才保障。

3D printing of functional bioengineered constructs for neural regeneration: a review

Three-dimensional(3D)printing technology has opened a new paradigm to controllably and reproducibly fabricate bioengineered neural constructs for potential applications in repairing injured nervous tissues or producing in vitro nervous tissue models.However,the complexity of nervous tissues poses great challenges to 3D-printed bioengineered analogues,which should possess diverse architectural/chemical/electrical functionalities to resemble the native growth microenvironments for functional neural regeneration.In this work,we provide a state-of-the-art review of the latest development of 3D printing for bioengineered neural constructs.Various 3D printing techniques for neural tissue-engineered scaffolds or living cell-laden constructs are summarized and compared in terms of their unique advantages.We highlight the advanced strategies by integrating topographical,biochemical and electroactive cues inside 3D-printed neural constructs to replicate in vivo-like microenvironment for functional neural regeneration.The typical applications of 3D-printed bioengineered constructs for in vivo repair of injured nervous tissues,bio-electronics interfacing with native nervous system,neural-on-chips as well as brain-like tissue models are demonstrated.The challenges and future outlook associated with 3D printing for functional neural constructs in various categories are discussed.

Construction and visualization of 3D vacant place model

The method of building 3D model was discussed at first. Aiming at the feature of mine vacant place,a method to build the 3D vacant place model based on multi TIN (triangular irregular network) was put forward, and the data structure and visualization of vacant place were discussed. Then some crucial technologies of realizing function in 3D-GIS were proposed. In addition,the software about special 3D mapping and assaying was introduced.

Expression Vector Construction and Genetic Transformation of <i>Rosa rugosa β</i>-l,3-Glucanase Gene (<i>RrGlu</i>)

In order to lay a foundation for researching the function of Rosa rugose (R. rugosa) RrGlu gene, the RrGlu gene was amplified from the styles of R. rugosa “Tanghong”, a gene expression vector named PBI121-RrGlu was constructed and the vector was introduced into tobacco with the agrobacterium-mediated method. PCR results showed that the RrGlu gene was integrated into the tobacco genome.

Recent progress and challenges in structural construction strategy of metal-based catalysts for nitrate electroreduction to ammonia

Ammonia plays an essential role in human production and life as a raw material for chemical fertilizers.The nitrate electroreduction to ammonia reaction(NO_(3)RR)has garnered attention due to its advantages over the Haber-Bosch process and electrochemical nitrogen reduction reaction.Therefore,it represents a promising approach to safeguard the ecological environment by enabling the cycling of nitrogen species.This review begins by discussing the theoretical insights of the NO_(3)RR.It then summarizes recent advances in catalyst design and construction strategies,including alloying,structure engineering,surface engineering,and heterostructure engineering.Finally,the challenges and prospects in this field are presented.This review aims to guide for enhancing the efficiency of electrocatalysts in the NO_(3)RR,and offers insights for converting NO_(3)-to NH_(3).

Ex vivo 3D osteocyte network construction with primary murine bone cells

Osteocytes reside as three-dimensionally（3D） networked cells in the lacunocanalicular structure of bones and regulate bone and mineral homeostasis. Despite of their important regulatory roles, in vitro studies of osteocytes have been challenging because：（1） current cell lines do not sufficiently represent the phenotypic features of mature osteocytes and（2） primary cells rapidly differentiate to osteoblasts upon isolation. In this study, we used a 3D perfusion culture approach to：（1） construct the 3D cellular network of primary murine osteocytes by biomimetic assembly with microbeads and（2） reproduce ex vivo the phenotype of primary murine osteocytes, for the first time to our best knowledge. In order to enable 3D construction with a sufficient number of viable cells, we used a proliferated osteoblastic population of healthy cells outgrown from digested bone chips. The diameter of microbeads was controlled to：（1） distribute and entrap cells within the interstitial spaces between the microbeads and（2） maintain average cell-to-cell distance to be about 19 mm. The entrapped cells formed a 3D cellular network by extending and connecting their processes through openings between the microbeads. Also, with increasing culture time, the entrapped cells exhibited the characteristic gene expressions（SOST and FGF23） and nonproliferative behavior of mature osteocytes. In contrast, 2D-cultured cells continued their osteoblastic differentiation and proliferation. This 3D biomimetic approach is expected to provide a new means of：（1） studying flow-induced shear stress on the mechanotransduction function of primary osteocytes,（2） studying physiological functions of 3D-networked osteocytes with in vitro convenience,and（3） developing clinically relevant human bone disease models.

工程车辆3-RPS座椅悬架半主动滑模控制

工程车辆处于恶劣的工作环境中,垂向单维度的被动减振无法满足实际需求。为解决该问题,依据可实现三维减振的3-RPS并联机构座椅悬架,提出一种新型三维控制策略。基于“座椅-人体”三维振动数学模型,设计一种新的三维天棚控制模型,作为滑模控制的参考对象。设计滑模控制器,并根据Lyapunov稳定判据,对控制系统的稳定性进行分析判断。利用Simulink软件建立座椅-人体受振模型,对处于E、F、G级3种路面环境中,分别采用滑模控制以及被动控制模式的座椅的减振效果进行仿真对比分析。结果表明,相较于被动控制的座椅悬架,采用三维滑模控制的座椅悬架在垂直方向上的加速度下降率在38.88%至57.06%之间;俯仰方向上的角加速度的下降率在36.00%至54.89%之间;侧倾方向上的角加速度的下降率在49.58%至59.97%之间。且可有效降低垂直方向上的加速度峰值,对于冲击载荷减振性能良好。研究成果可为半主动多维减振座椅悬架控制策略的研究提供一定参考。

绣球‘杜丽’AP 3基因克隆与基因编辑载体构建

绣球(Hydrangea macrophylla)是以花序为主要观赏部位的园林植物,多用作切花装饰和景观营造,在亚洲、美洲、欧洲广泛栽培。为探究AP 3基因在绣球花萼形成过程中的功能,加快重瓣绣球新品种培育进程,该研究以绣球‘杜丽’为材料,克隆其MADS-box B类基因HmAP 3,并结合生物信息学方法预测基因功能;根据HmAP 3序列信息,筛选出高特异性编辑靶点并构建CRISPR/Cas9基因编辑载体,通过农杆菌转化法将载体整合到绣球基因组中。结果表明:(1)克隆到1段HmAP 3基因的cDNA序列,其序列全长546 bp,共编码181个氨基酸,测序结果表明其氨基酸序列与参考序列一致性为100%,与拟南芥AtAP3相似度为58.8%。(2)不同属植物AP3氨基酸序列差异较大,在同属不同物种中,AP3蛋白主要结构较为保守,仅在少数基序上存在差异。(3)在HmAP 3中共鉴定到2个高特异性靶点,并成功构建2个单靶点CRISPR/Cas9基因编辑载体。(4)该研究共获得5株基因组内含有Cas 9序列的抗性芽,但其靶点均未突变,在抗性芽中没有检测到Cas9表达。该研究探讨了AP 3基因在重瓣绣球育种中的价值,对绣球的CRISPR/Cas9基因编辑技术进行了初探,为绣球优良品种繁育工作奠定了基础。

Construction of <i>k</i>-Variate Survival Functions with Emphasis on the Case <i>k</i>= 3

The purpose of this paper is to present a general universal formula for k-variate survival functions for arbitrary k = 2, 3, ..., given all the univariate marginal survival functions. This universal form of k-variate probability distributions was obtained by means of “dependence functions” named “joiners” in the text. These joiners determine all the involved stochastic dependencies between the underlying random variables. However, in order that the presented formula (the form) represents a legitimate survival function, some necessary and sufficient conditions for the joiners had to be found. Basically, finding those conditions is the main task of this paper. This task was successfully performed for the case k = 2 and the main results for the case k = 3 were formulated as Theorem 1 and Theorem 2 in Section 4. Nevertheless, the hypothetical conditions valid for the general k ≥ 4 case were also formulated in Section 3 as the (very convincing) Hypothesis. As for the sufficient conditions for both the k = 3 and k ≥ 4 cases, the full generality was not achieved since two restrictions were imposed. Firstly, we limited ourselves to the, defined in the text, “continuous cases” (when the corresponding joint density exists and is continuous), and secondly we consider positive stochastic dependencies only. Nevertheless, the class of the k-variate distributions which can be constructed is very wide. The presented method of construction by means of joiners can be considered competitive to the copula methodology. As it is suggested in the paper the possibility of building a common theory of both copulae and joiners is quite possible, and the joiners may play the role of tools within the theory of copulae, and vice versa copulae may, for example, be used for finding proper joiners. Another independent feature of the joiners methodology is the possibility of constructing many new stochastic processes including stationary and Markovian.

Non Destructive 3D, 4D Microscopy and Mineral Phase Characterization in Industrial Minerals, Composites to Construction Materials

Conventional electron and optical microscopy techniques require the sample to be sectioned, polished or etched to expose the internal surfaces for imaging. However, such sample preparation techniques have traditionally prevented the observation of the same sample over time, under realistic three-dimensional geometries and in an environment representative of real-world operating conditions. X-ray microscopy (XRM) is a rapidly emerging technique that enables non-destructive evaluation of buried structures within hard to soft materials in 3D, requiring little to no sample preparation. Furthermore in situ and 4D quantification of microstructural evolution under controlled environment as a function of time, temperature, chemistry or stress can be done repeatable on the same sample, using practical specimen sizes ranging from tens of microns to several cm diameter, with achievable imaging resolution from submicron to 50 nm. Many of these studies were reported using XRM in synchrotron beamlines. These include crack propagation on composite and construction materials; corrosion studies; microstructural changes during the setting of cement; flow studies within porous media to mention but a few.

Predicting Compressive Strength of Recycled Concrete for Construction 3D Printing Based on Statistical Analysis of Various Neural Networks

Construction 3D printing is changing construction industry, but for its immaturity, there are still many problems to be solved. One of the major problems is to study materials for construction 3D printing. Because printed buildings are very different from traditional buildings, there are special requirements for printing materials. Based on environmental and cost considerations, the recycled concrete as printing material is a perfect choice. In order to study and develop the construction 3D printing materials, it is necessary to predict the properties of them. As one of the most effective artificial intelligence algorithms, artificial neural network can deal with multi-parameter and nonlinear problems, and it can provide useful reference to predict the performance of recycled concrete for 3D printing. However, since there are many types and parameters for neural network, it is difficult to select the optimal neural network with excellent prediction performance. In this paper, by comparing different types of neural networks and statistically analyzing the distribution of the root-mean-square error (RMSE) and the coefficient of determination (R2) of these neural networks, we can determine the best performance among four neural networks and finally select the suitable one to predict the performance of 3D printing concrete.

BeiDou-3 Global Positioning System Officially Initiates Construction

China’s Bei Dou-3 global positioning system has been officially initiated construction with four global networking satel ites to be launched by the end of this year,according to the announcement at the Sixth China Annual Meeting of Satellite Navigation and Location Services in Shenzhen on September 16 and the First Satellite Application International Exposition held.

建构游戏中提升3—6岁幼儿思维品质的差异化策略研究

建构游戏是幼儿通过动手操作进行模拟、再现和塑造的活动,是一种蕴含着想象力和创造力的创造性活动[1]。基于小、中、大段幼儿思维品质发展的不同水平及特点,基于“三引策略”,即引发提问、引发试错、引发评价,探讨支持不同年龄段幼儿思维品质发展的差异化策略。通过深入分析,旨在充分发挥建构游戏对不同年龄段幼儿思维品质发展的价值,有针对性地提高各年龄段幼儿思维品质的发展水平。

A Perspective of 3G Construction in China

1. The problems on hybrid network combining TD-SCDMA 1) Hybrid network is imperative in China At present, there are several major wireless networks in China, namely, GSM network of China Mobile, GSM network and CDMA network of China Unicom, PHS network of China Telecom and China Netcom, and therefore the seamless transition from the existent wireless network to 3G network is an inevitable

MoS_(2)/g-C_(3)N_(4)复合光催化剂的构建及其可见光催化性能研究

本研究通过水热合成法和超声法成功构建MoS_(2)/g-C_(3)N_(4)复合型光催化剂。通过X射线粉末衍射(XRD)、扫描电子显微镜(SEM)、红外光谱(IR)以及紫外-可见吸收光谱(UV-Vis)表征技术对复合型催化剂的物理化学特性进行分析。以光催化降解罗丹明B(RhB)为探针反应,探究可见光下不同质量比的MoS_(2)/g-C_(3)N_(4)复合型光催化剂对RhB光催化降解性能的影响。实验结果表明,当MoS_(2)负载量为30%,光催化降解80 min时,10 mg/L的RhB溶液的降解率为96.7%。MoS_(2)/g-C_(3)N_(4)复合催化剂相比于纯的g-C_(3)N_(4),MoS_(2)降解RhB的效果有显著地提高。光催化降解性能的提升归因于两半导体间MoS_(2)和g-C_(3)N_(4)异质结界面构筑,有效地抑制光生电子(e^(-))和空穴(h^(+))的复合,从而提高复合型光催化剂MoS_(2)/g-C_(3)N_(4)的光催化性能。

基于Construct 3的益智类游戏设计与开发——以垃圾分类为例

借助Construct 3 H5游戏开发引擎,利用可视化的事件编程与场景制作方式,从框架设计、场景制作与界面交互设计三个方面进行了益智游戏垃圾分类PC、网页、移动端的设计与实现。玩家对随机生成的垃圾进行分类,并放置到指定的垃圾桶中,从而阻止垃圾飞到界面外而污染环境;让玩家在游戏中树立正确的环保意识,掌握垃圾分类的方法。测试结果表明,游戏可在PC、网页和移动端流畅运行;垃圾随机生成、点击拖拽、分类、重玩、关卡等功能良好;玩家生命值、环保积分、倒计时等全局变量参数正常。同时,呼吁研究者与开发者加强电子游戏的教育功能和社会责任。