基于GROW模型的研究生科研能力培养指导方法——以土木工程专业为例

文章以土木工程专业为例,探讨了基于GROW模型培养研究生科研能力的指导方法。GROW模型是一种广泛应用于个人发展和教育领域的教练模型,包括Goal(目标)、Reality(现状)、Options(选择)和Will(意愿)4个关键元素。通过GROW模型设定明确的科研目标、了解研究现状、探讨可行的研究方案和激发执行意愿,导师可指导研究生开展科研工作、锻炼其科研能力,并取得科研成果。实践表明,采用GROW模型不仅让导师在指导研究生的过程中更轻松,研究生在科研过程中成长更明显,而且使师生关系更融洽。基于GROW模型的研究生科研能力培养指导方法科学、系统、实操性强,且效果明显,值得推广应用。

Betaine addition to the diet alleviates intestinal injury in growing rabbits during the summer heat through the AAT/mTOR pathway

Background The aim of this experiment was to investigate the effect of different levels of betaine(Bet)inclusion in the diet on the intestinal health of growing rabbits under summer heat.A total of 100 weaned Qixing meat rabbits aged 35 d with body weight of 748.61±38.59 g were randomly divided into 5 treatment groups:control group(basal diet)and Bet groups(basal diet+0.75,1.0,1.5 or 2.0 g/kg Bet).The average daily temperature in the rabbitry during the experiment was 30.48°C and the relative humidity was 69.44%.Results Dietary addition of Bet had no significant effect on growth performance and health status of growing rabbits(P>0.05),but it increased ileal secretory immunoglobulin A content compared to the control under summer heat(P<0.05).Addition of 0.75 g/kg Bet up-regulated jejunal IL-4,down-regulated ileal TNF-αexpression(P<0.05).The addition of 1.0 g/kg Bet increased the villi height(VH)in the jejunum(P<0.05).Serum glucose levels were reduced,and the expression of SLC6A20 was up-regulated in jejunum and ileum of rabbits fed with 1.5 g/kg Bet(P<0.05).When added at 2.0 g/kg,Bet reduced serum HSP70 content,increased jejunal VH,and up-regulated duodenal SLC7A6,SLC38A2,mTOR and 4EBP-2 expression(P<0.05).Correlation analysis revealed that intestinal mTOR expression was significantly and positively correlated with SLC7A6,SLC38A2,SLC36A1 and IL-4 expression(P<0.05).Conclusions Dietary addition of Bet can up-regulate the expression of anti-inflammatory factors through the AAT/mTOR pathway,improve the intestinal immune function,alleviate intestinal damage in growing rabbits caused by summer heat,and improve intestinal health.

Supplementation of vitamin E or a botanical extract as antioxidants to improve growth performance and health of growing pigs housed under thermoneutral or heat-stressed conditions

Background Heat stress has severe negative consequences on performance and health of pigs,leading to significant economic losses.The objective of this study was to investigate the effects of supplemental vitamin E and a botanical extract in feed or drinking water on growth performance,intestinal health,and oxidative and immune status in grow-ing pigs housed under heat stress conditions.Methods Duplicate experiments were conducted,each using 64 crossbred pigs with an initial body weight of 50.7±3.8 and 43.9±3.6 kg and age of 13-week and 12-week,respectively.Pigs(n=128)were housed individually and assigned within weight blocks and sex to a 2×4 factorial arrangement consisting of 2 environments(thermo-neutral(21.2℃)or heat-stressed(30.9℃))and 4 supplementation treatments(control diet;control+100 IU/L of D-α-tocopherol in water;control+200 IU/kg of DL-α-tocopheryl-acetate in feed;or control+400 mg/kg of a botanical extract in feed).Results Heat stress for 28 d reduced(P≤0.001)final body weight,average daily gain,and average daily feed intake(-7.4 kg,-26.7%,and-25.4%,respectively)but no effects of supplementation were detected(P>0.05).Serum vitamin E increased(P<0.001)with vitamin E supplementation in water and in feed(1.64 vs.3.59 and 1.64 vs.3.24),but not for the botanical extract(1.64 vs.1.67 mg/kg)and was greater when supplemented in water vs.feed(P=0.002).Liver vitamin E increased(P<0.001)with vitamin E supplementations in water(3.9 vs.31.8)and feed(3.9 vs.18.0),but not with the botanical extract(3.9 vs.4.9 mg/kg).Serum malondialdehyde was reduced with heat stress on d 2,but increased on d 28(interaction,P<0.001),and was greater(P<0.05)for antioxidant supplementation compared to control.Cellular proliferation was reduced(P=0.037)in the jejunum under heat stress,but increased in the ileum when vitamin E was supplemented in feed and water under heat stress(interaction,P=0.04).Tumor necrosis factor-αin jejunum and ileum mucosa decreased by heat stress(P<0.05)and was reduced by vitamin E sup-plementations under heat stress(interaction,P<0.001).Conclusions The addition of the antioxidants in feed or in drinking water did not alleviate the negative impact of heat stress on feed intake and growth rate of growing pigs.

基于GROW模型的高校管理育人路径研究

“管理育人”是实现高校思想政治工作质量提升工程的关键环节。做好“管理育人”,需要高校牢固树立“管理就是育人”的先进理念,立足学生成长需求,重新建构大思政背景下的管理工作流程体系,各级部门协同联动,形成有效的育人工作机制。文章将就目前管理育人中存在的认识、设计、实施等问题进行分析,认为管理育人应纳入“大思政课”范畴,按照实践课程进行教学设计,并引入教练教学法中的GROW模型,以学生在管理环节中获得思政教育成长为目标,探索管理育人的有效实施路径,期望对高校落实管理育人提供有益的启示与借鉴。

Oils with different degree of saturation:effects on ileal digestibility of fat and corresponding additivity and bacterial community in growing pigs

Background Oils are important sources of energy in pig diets.The combination of oils with different degree of saturation contributes to improve the utilization efficiency of the mixed oils and may reduce the cost of oil supplemented.An experiment was conducted to evaluate the effects of oils with different degree of saturation on the fat digestibility and corresponding additivity and bacterial community in growing pigs.Methods Eighteen crossbred(Duroc×Landrace×Yorkshire)barrows(initial body weight:29.3±2.8 kg)were surgically fitted with a T-cannula in the distal ileum.The experimental diets included a fat-free basal diet and 5 oil-added diets.The 5 oil-added diets were formulated by adding 6%oil with different ratio of unsaturated to saturated fatty acids(U:S)to the basal diet.The 5 oils were palm oil(U:S=1.2),canola oil(U:S=12.0),and palm oil and canola oil were mixed in different proportions to prepare a combination of U:S of 2.5,3.5 and 4.5,respectively.Results The apparent and standardized ileal digestibility(AID and SID)of fat and fatty acids increased linearly(P<0.05)as the U:S of dietary oils increased except for SID of fat and C18:2.The AID and SID of fat and fatty acids differed among the dietary treatments(P<0.05)except for SID of unsaturated fatty acids(UFA)and C18:2.Fitted one-slope broken-line analyses for the SID of fat,saturated fatty acids(SFA)and UFA indicated that the breakpoint for U:S of oil was 4.14(R^(2)=0.89,P<0.01),2.91(R^(2)=0.98,P<0.01)and 3.84(R^(2)=0.85,P<0.01),respectively.The determined SID of fat,C18:1,C18:2 and UFA in the mixtures was not different from the calculated SID of fat,C18:1,C18:2 and UFA.However,the determined SID of C16:0,C18:0 and SFA in the mixtures were greater than the calculated SID values(P<0.05).The abundance of Romboutsia and Turicibacter in pigs fed diet containing palm oil was greater than that in rapeseed oil treatment group,and the two bacteria were negatively correlated with SID of C16:0,C18:0 and SFA(P<0.05).Conclusions The optimal U:S for improving the utilization efficiency of mixed oil was 4.14.The SID of fat and UFA for palm oil and canola oil were additive in growing pigs,whereas the SID of SFA in the mixture of two oils was greater than the sum of the values of pure oils.Differences in fat digestibility caused by oils differing in degree of saturation has a significant impact on bacterial community in the foregut.

中小学教师培训GROW模式“微创新”的实践路径——以国培示范项目道德与法治骨干教师培训为例

“十四五”期间,中小学教师国家级培训计划(简称“国培计划”)示范项目锚定提质增效,突出教师核心素养培育。2023年,人民教育出版社承办示范项目道德与法治骨干教师培训,以培育思政课教师核心素养,促进参训的成熟期教师实现“二次成长”为目标,以GROW模式“微创新”的研修规划、研修目标、研修流程、研修资源等关键要素作为实践路径,基于培训设计从输入到输出的“方向微创新”,推动参训者从动机到动力的“学习微创新”,实现培训者从供给到需求的“服务微创新”,探索教师培训模式创新的规律。

GROW模型在教师职业生涯发展规划中的实践与探索

介绍职业生涯规划相关内容及其对教师发展的重要性。认为随着教育环境的快速变化,教师面临着不断更新知识与技能的挑战。探讨GROW模型在教师职业生涯发展规划中的应用,旨在帮助教师明确发展目标(Goals),评估现实情况(Reality),探索实施路径(Options),并制订行动方案(Wrap-ups)。GROW模型能提供一种系统化的方法,教师可以通过该模型更好地实现自我认知,明确努力方向,促进专业成长和职业发展。

数字商务趋势下高校电商专业实践教学改革研究——基于GROW模型

数字商务是我国数字经济的重要组成部分。数字商务不仅将现代信息技术和商务进行整合,更驱动了商业流程和业务更加信息化、智能化、有机化。数字商务趋势下,普通高校电子商务专业实践教学改革势在必行。GROW模型是一种教练模型,应用时按“目标设定、现状分析、选择方案和行动实施”四个步骤进行,其特点是目标明确、流程清晰、驱动融入、促进创新等。将GROW教练模型引入电子商务专业实践教学中,是促进实践教学实施手段和教学方法完善的有效方法。

Novel models for simulating maize growth based on thermal time and photothermal units: Applications under various mulching practices

Maize (Zea mays L.) is one of the three major food crops and an important source of carbohydrates for maintaining food security around the world.Plant height (H),stem diameter (SD),leaf area index (LAI) and dry matter (DM) are important growth parameters that influence maize production.However,the combined effect of temperature and light on maize growth is rarely considered in crop growth models.Ten maize growth models based on the modified logistic growth equation (Mlog) and the Mitscherlich growth equation (Mit) were proposed to simulate the H,SD,LAI and DM of maize under different mulching practices based on experimental data from 2015–2018.Either the accumulative growing degree-days (AGDD),helio thermal units (HTU),photothermal units (PTU) or photoperiod thermal units (PPTU,first proposed here) was used as a single driving factor in the models;or AGDD was combined with either accumulative actual solar hours (ASS),accumulative photoperiod response (APR,first proposed here) or accumulative maximum possible sunshine hours (ADL) as the dual driving factors in the models.The model performances were evaluated using seven statistical indicators and a global performance index.The results showed that the three mulching practices significantly increased the maize growth rates and the maximum values of the growth curves compared with non-mulching.Among the four single factor-driven models,the overall performance of the Mlog_(PTU)Model was the best,followed by the Mlog_(AGDD)Model.The Mlog_(PPTU)Model was better than the Mlog_(AGDD)Model in simulating SD and LAI.Among the 10 models,the overall performance of the Mlog_(AGDD–APR)Model was the best,followed by the Mlog_(AGDD–ASS)Model.Specifically,the Mlog_(AGDD–APR)Model performed the best in simulating H and LAI,while the Mlog_(AGDD–ADL)and Mlog_(AGDD–ASS)models performed the best in simulating SD and DM,respectively.In conclusion,the modified logistic growth equations with AGDD and either APR,ASS or ADL as the dual driving factors outperformed the commonly used modified logistic growth model with AGDD as a single driving factor in simulating maize growth.

Effects of dietary oil sources and fat extraction methods on apparent and standardized ileal digestibility of fat and fatty acids in growing pigs

Background:There is a lack of data for the standardized ileal digestibility(SID) of fat and fatty acids in national feed databases.In addition,it is important to specify the procedures used for fat analyses.Therefore,an experiment was conducted to 1) determine the apparent ileal digestibility(AID) and SID of fat and fatty acids in ten different oil sources for growing pigs and to develop prediction equations for SID of fat based on fatty acid composition;and 2) compare the effect of the fat extraction methods on the calculated values for endogenous loss and digestibility of fat.Methods:Twenty-two barrows(initial body weight:32.1 ± 2.3 kg) were surgically fitted with a T-cannula in the distal ileum,and allotted to 1 of 11 experimental diets in a 4-period Youden Square design.A fat-free diet was formulated using cornstarch,soy protein isolate and sucrose.Ten oil-added diets were formulated by adding 6% of dietary oil sources to the fat-free diet at the expense of cornstarch.All diets contained 26% sugar beet pulp and 0.40% chromic oxide.Results:The endogenous loss of ether extract(EE) was lower than that of acid-hydrolyzed fat(AEE;P < 0.01).There were significant differences in the AID and SID of fat and saturated fatty acids across the dietary oil sources(P < 0.05).The SID of AEE for palm oil was lower than that of sunflower oil,corn oil,canola oil,rice oil and flaxseed oil(P < 0.01).The AID and SID of fat ranged from 79.65% to 86.97% and from 91.14% to 99.18%.Although the AID of EE was greater than that of AEE(P < 0.01),there was no significant difference in SID of EE and AEE except for palm oil.The ratio of unsaturated to saturated fatty acids(U/S) had a positive correlation with SID of fat(P < 0.05),whereas C16:0 and long chain saturated fatty acids(LSFA) were significant negatively correlated with SID of fat(P < 0.01).The best-fit equation to predict SID of fat was SID AEE = 102.75-0.15 × LSFA-0.74 × C18:0-0.03 × C18:1(Adjusted coefficient of determination = 0.88,P < 0.01).Conclusions:When calculating the SID of fat,the EE content of the samples can be analyzed using the direct extraction method,whereas the acid hydrolysis procedure should be used to determine the AID of fat.Fat digestibility of dietary oils was affected by their fatty acid composition,especially by the contents of C16:0,LSFA and U/S.

大众传媒与大学生思想政治教育——基于GROW模型

大众传媒是意识形态斗争的重要阵地,推动大众传媒发展,对加强和改进思想政治教育工作、建设教育强国意义深远。基于GROW模型,从信息引导、信息传播、信息筛选、信息反馈四个方面,探讨大众传媒对大学生思想政治教育的影响路径。通过建设“大众传媒+高校第二课堂”,建设立足实践的全方位渗透机制,构建正逆向反馈机制,可以为大众传媒与大学生思想政治教育结合指明新方向、提供新思路。

Structural plane recognition from three-dimensional laser scanning points using an improved region-growing algorithm based on the robust randomized Hough transform

The staggered distribution of joints and fissures in space constitutes the weak part of any rock mass.The identification of rock mass structural planes and the extraction of characteristic parameters are the basis of rock-mass integrity evaluation,which is very important for analysis of slope stability.The laser scanning technique can be used to acquire the coordinate information pertaining to each point of the structural plane,but large amount of point cloud data,uneven density distribution,and noise point interference make the identification efficiency and accuracy of different types of structural planes limited by point cloud data analysis technology.A new point cloud identification and segmentation algorithm for rock mass structural surfaces is proposed.Based on the distribution states of the original point cloud in different neighborhoods in space,the point clouds are characterized by multi-dimensional eigenvalues and calculated by the robust randomized Hough transform(RRHT).The normal vector difference and the final eigenvalue are proposed for characteristic distinction,and the identification of rock mass structural surfaces is completed through regional growth,which strengthens the difference expression of point clouds.In addition,nearest Voxel downsampling is also introduced in the RRHT calculation,which further reduces the number of sources of neighborhood noises,thereby improving the accuracy and stability of the calculation.The advantages of the method have been verified by laboratory models.The results showed that the proposed method can better achieve the segmentation and statistics of structural planes with interfaces and sharp boundaries.The method works well in the identification of joints,fissures,and other structural planes on Mangshezhai slope in the Three Gorges Reservoir area,China.It can provide a stable and effective technique for the identification and segmentation of rock mass structural planes,which is beneficial in engineering practice.

心理危机学生干预中家校沟通的“GROW”策略

加强家校沟通形成教育合力,是学校教育成功的必由之路。在调查高中阶段心理危机学生家校沟通中存在的问题基础上,探讨并挖掘影响家校沟通的关键因素,提出了家校高效沟通的GROW策略:要反映“真问题”,激发家长参与家校共育的意愿;要专注“危机解决”,做好家长心理科普和情绪应对;要明确“合作权责”,树立家校共育的主体意识;要聚焦“治疗目标”,做好学生休学、复学工作。

In-Situ Growing of Branched CNFs on Reusable RCFs to Construct Hierarchical Cross-Linked Composite for Enhanced Microwave Absorption

The recycling of carbon fibers and protection from unwanted microwave radiation are two important environmental issues that need to be addressed in modern society.Herein,branched carbon nanofibers(CNFs)were grown in-situ on recycled carbon fibers(RCFs)through the chemical vapor deposition method using nickel as catalysts and thiophene as aided-catalysts.The effect of thiophene on the growth morphology of CNFs was investigated.Correspondingly,branched CNFs-RCFs and straight CNFs-RCFs were respectively obtained in the presence and absence of thiophene.The microstructure and electromagnetic behaviour investigations have shown that the branched CNFs possess a typical multi-branched structure,with more defects,pores and a larger specific surface area than the straight CNFs,which lead to better impedance matching and adequate dielectric loss ability for the branched CNFs-RCFs.The reflection loss(RL)results show that the branched CNFs-RCFs exhibit an optimum RL of -23.6 dB at 1.5 mm and a best effective absorption bandwidth(EAB)of 7.5 GHz at 2.0 mm.This research provides an innovative microwave absorbing material with adequate absorbing strength and outstanding EAB,while also promoting the sustainable reuse of the RCFs resources.

Effect of Temperature on Frost-Free Days and Length of Crop Growing Season across Southern Ontario

Climate change has an impact on various climatic variables. In this study our focus is mainly on temperature characteristics of climate parameter. In temperate and humid regions like southern Ontario, the effect of climate change on Frost-free days in winter is distinctive. The average annual temperature is going upward but the extreme increase is in the winter temperature. Winter average temperature is going up by about 2˚C. However, extreme daily minimum temperature is going up by more than 3˚C. This climate effect has a great impact on the nature of precipitation and length of frost-free days. The snowfall over winter months is decreasing and the rainfall is increasing. However, the number of frost-free days during late fall months, early winter months, late winter months and early spring months are increasing. This result reveals an increase in length of the growing season. This research focuses on the effect of change in climatic variables on Frost-free days in Southern Ontario. Therefore, special attention should be given to the effect of change in climate Frost-free conditions on length of crop growing in winter season for potential investigation.

矿业系统工程60年发展与展望

矿业是以安全高效绿色开发和清洁高效低碳利用矿产资源为目的行业,也是经济社会发展的基础行业。为了使矿业开发更加经济、考虑的因素更加全面、设计和开发过程更加优化,20世纪50年代末期,将运筹学和计算机技术引入到了矿业工程,形成了矿业系统工程这一新的学科分支。早期的矿业系统工程主要是以采矿生产过程优化和计算机在矿山设计、采掘计划编制、信息处理、应用软件开发为主,且多以露天矿为研究对象。近年来矿业系统工程研究紧密结合大数据、人工智能、网络技术等,在矿山信息网络构建、运销系统、智能开采、设备管理、安全管理等方面取得了丰硕成果。详细阐述了矿业系统工程的起源和发展过程,并以运筹学和计算机在矿业中的应用国际会议(APCOM),尤其是已经举办的十五届全国矿业系统工程学术会议为脉络,客观地总结了矿业系统工程的发展过程和研究内容演变。以CNKI数据库为数据基础,通过聚类分析,研究了近20 a矿业系统工程的刊文量和研究对象及其变化。矿业系统工程的未来发展应聚焦于系统科学思想与现代采矿技术的结合,建立科学的系统及其边界,比如科学采矿系统、矿山全生命周期系统、智能矿山系统等八大系统,矿业系统工程的发展将更加注重数字化、智能化、可持续发展、信息化和自动化等方面的创新和应用,同时将不断拓展其应用领域,以实现矿业开发的最优化、高效化、绿色化和低碳化。

Growing Momentum

Zimbabwe makes big gains in agricultural yields on the back of Chinese cooperation For the first time in 56 years, Zimbabwe was able to produce sufflcient wheat for its population,and in the process, became the only African country to do so.According to the country’s Cluster Agricultural Development Services, Zimbabwe achieved a milestone in wheat production by harvesting 375,000tonnes of the grain in 2022.

基于连续观测数据的毛乌素沙地生长季土壤水分动态及其对降雨的响应

水分是制约半干旱区沙地植物生长发育和生态建设的关键非生物因子。于2008—2010年和2018—2021年生长季(4—10月)对毛乌素沙地流动、半固定和固定沙地0~100cm深土壤水分进行了连续观测,系统分析了不同固定程度沙地土壤水分动态变化规律及其对降雨的响应。结果表明:(1)受降雨季节变化的影响,流动、半固定和固定沙地不同深度土壤水分季节变化一般呈∽型或双峰型,10 cm和30 cm深土壤水分含量波动较大,60 cm和100 cm深土壤水分含量波动较小。(2)3种固定程度沙地生长季土壤水分动态差异明显,总体来看,流动沙地土壤水分状况最好,且土壤水分含量变化相对平缓,固定沙地土壤水分状况最差,且土壤水分含量变化最为剧烈,半固定沙地居于二者之间;固定沙地10~30cm深土壤水分状况好于半固定沙地和流动沙地,30~100cm深土壤水分状况则相反。(3)降雨格局是形成土壤水分时空格局的主要原因,随降雨事件降雨量增加,降雨的入渗深度逐渐增加;但是固定沙地土壤水分的深层补充需较强的降雨和较长的时间。生长季降雨事件以小降雨事件为主,表层土壤水分波动更剧烈。生长季初期降雨较少且以小降雨事件为主,10cm以下土壤水分补充困难,土壤水分状况较差。流动沙地和半固定沙地10~30cm深土壤水分状况好于30~100cm深土壤,而固定沙地土壤水分状况则相反。研究结果可为半干旱区沙化土地近自然植被恢复与固沙植被稳定性维持提供科学依据。

基于GROW模型的研究生高效学习模式探索

传统讲授法以教师为主导,不利于学生创新性和潜能的发挥。我们提出“GROW模式”包括目标确定(Goal)、现状分析(Reality)、方案选择(Options)、行动计划(Will)四个步骤。该模型应用到研究生教学中,教师先提出课题的目标,学生思考和比较,并做出方案选择,确定具体的方案,从而实现课堂教学的高效化。GROW模式以“学生为学习中心”,注重发挥学生的潜能,从而培养学生的创新意识、合作能力、研究能力等多方面能力,实现学生的“自我成长”。该模式应用于《高等环境化学》教学中,取得了良好的教学效果。

基于渐进式生成对抗网络的农作物病虫害细粒度分类

随着深度学习应用的普及和飞速发展,基于深度学习的图像识别方法广泛应用于农作物病虫害领域,但大部分的神经网络重视识别准确率的提高,却忽略神经网络庞大的参数计算量。为解决这个问题,基于渐进式生成对抗网络判别器模型和卷积注意力模块,提出一种改进的渐进式生成对抗网络判别器CPDM网络模型对农作物病虫害进行识别。通过对渐进式生成对抗网络判别器网络结构的调整,采用均衡学习率、像素级特征向量归一化和卷积注意力模块增强CPDM网络模型的特征提取能力,提高对真实图片的识别准确率。试验在PlantVillage数据集上进行,将该模型与VGG16、VGG19和ResNet18进行比较,得到TOP-1准确率分别为99.06%、96.50%、96.65%、98.86%,分别提高2.56%、2.41%、0.2%,且参数量仅为8.2 M。试验证明提出的CPDM网络模型满足在保证分类准确率的基础上,有效控制神经网络参数计算量的目的。