指导cache静态划分的程序性能profiling优化技术

对于共享cache的多核处理器,如何管理好各个核对cache的利用,对于充分发挥多核处理器性能是很关键的问题.目前采用的cache替换方法程序间会出现性能干扰,cache静态划分技术则是通过为同时运行的程序分配不同的空间来解决性能干扰问题.为了给程序分配合适大小的cache空间,需要对程序进行性能profiling,即事先多遍运行收集程序在各种cache容量下的性能数据,这种性能profiling方法开销巨大,影响实用.为了解决性能profiling需要多遍运行程序的问题,提出了只需单遍运行的程序性能profiling优化技术.该技术利用在线的phase分析技术识别程序的运行阶段,避免对相同阶段的重复profiling;同时分析程序各phase的性能同cache容量变化的关系趋势,对于性能不敏感的容量变化则不进行profiling,降低开销.在程序运行结束后通过程序各phase在cache各种容量下的性能来估计程序在各容量下的整体性能,以指导cache静态划分.实验表明,该技术的开销仅为7%,而该方法指导的cache划分比未划分时有8%的性能改进,同多遍运行的程序性能profiling指导的cache划分性能相比仅有1%的下降.

Assessment of spermatogenesis in camels via seminiferous tubule staging and testosterone profiling

Objective:To investigate the successive morphological stages of spermatogenesis,hormonal regulation,and testosterone profile in dromedary camel reproduction.Methods:Testicular tissue samples were obtained from 12 dromedary bull camels aged 7 to 8 at a local abattoir.The histological assessment involved tissue processing,hematoxylin and eosin(H&E)staining,and examination under a microscope.Stereological analysis,germ cell identification,and assessment of seminiferous tubules and maturation were conducted.Testosterone assay was performed by radioimmunoassay using blood samples collected at regular intervals.Results:The study revealed 12 phases of the dromedary camel's seminiferous epithelium cycle,highlighting distinct morphological characteristics and cellular processes.Acrosomal migration,maturation,cap formation,and the Golgi-mediated synthesis of proacrosomal vesicles were also explained in dimension,as were the steps of acrosome biogenesis.Spermatids and mature sperm cells were present when spermatogenesis phases were examined.An analysis of the dimensions of seminiferous tubules revealed specific measures for diameter,area,and epithelial height about luminal characteristics.Moreover,there were noticeable variations in the serum testosterone concentrations during the study period,indicating temporal dynamics.Conclusions:This study outlines the spermatogenesis process in dromedary camels across 12 stages,emphasizing cellular dynamics and acrosomal biogenesis.It also provides seminiferous tubule measurements and observes seasonal testosterone fluctuations,offering insights into reproductive regulation and potential strategies for camel breeding conservation.

A News Media Bias and Factuality Profiling Framework Assisted by Modeling Correlation

News media profiling is helpful in preventing the spread of fake news at the source and maintaining a good media and news ecosystem.Most previous works only extract features and evaluate media from one dimension independently,ignoring the interconnections between different aspects.This paper proposes a novel news media bias and factuality profiling framework assisted by correlated features.This framework models the relationship and interaction between media bias and factuality,utilizing this relationship to assist in the prediction of profiling results.Our approach extracts features independently while aligning and fusing them through recursive convolu-tion and attention mechanisms,thus harnessing multi-scale interactive information across different dimensions and levels.This method improves the effectiveness of news media evaluation.Experimental results indicate that our proposed framework significantly outperforms existing methods,achieving the best performance in Accuracy and F1 score,improving by at least 1%compared to other methods.This paper further analyzes and discusses based on the experimental results.

Predicting Age and Gender in Author Profiling: A Multi-Feature Exploration

Author Profiling (AP) is a subsection of digital forensics that focuses on the detection of the author’s personalinformation, such as age, gender, occupation, and education, based on various linguistic features, e.g., stylistic,semantic, and syntactic. The importance of AP lies in various fields, including forensics, security, medicine, andmarketing. In previous studies, many works have been done using different languages, e.g., English, Arabic, French,etc.However, the research on RomanUrdu is not up to the mark.Hence, this study focuses on detecting the author’sage and gender based on Roman Urdu text messages. The dataset used in this study is Fire’18-MaponSMS. Thisstudy proposed an ensemble model based on AdaBoostM1 and Random Forest (AMBRF) for AP using multiplelinguistic features that are stylistic, character-based, word-based, and sentence-based. The proposed model iscontrasted with several of the well-known models fromthe literature, including J48-Decision Tree (J48),Na飗e Bays(NB), K Nearest Neighbor (KNN), and Composite Hypercube on Random Projection (CHIRP), NB-Updatable,RF, and AdaboostM1. The overall outcome shows the better performance of the proposed AdaboostM1 withRandom Forest (ABMRF) with an accuracy of 54.2857% for age prediction and 71.1429% for gender predictioncalculated on stylistic features. Regarding word-based features, age and gender were considered in 50.5714% and60%, respectively. On the other hand, KNN and CHIRP show the weakest performance using all the linguisticfeatures for age and gender prediction.

AMachine Learning Approach to User Profiling for Data Annotation of Online Behavior

The user’s intent to seek online information has been an active area of research in user profiling.User profiling considers user characteristics,behaviors,activities,and preferences to sketch user intentions,interests,and motivations.Determining user characteristics can help capture implicit and explicit preferences and intentions for effective user-centric and customized content presentation.The user’s complete online experience in seeking information is a blend of activities such as searching,verifying,and sharing it on social platforms.However,a combination of multiple behaviors in profiling users has yet to be considered.This research takes a novel approach and explores user intent types based on multidimensional online behavior in information acquisition.This research explores information search,verification,and dissemination behavior and identifies diverse types of users based on their online engagement using machine learning.The research proposes a generic user profile template that explains the user characteristics based on the internet experience and uses it as ground truth for data annotation.User feedback is based on online behavior and practices collected by using a survey method.The participants include both males and females from different occupation sectors and different ages.The data collected is subject to feature engineering,and the significant features are presented to unsupervised machine learning methods to identify user intent classes or profiles and their characteristics.Different techniques are evaluated,and the K-Mean clustering method successfully generates five user groups observing different user characteristics with an average silhouette of 0.36 and a distortion score of 1136.Feature average is computed to identify user intent type characteristics.The user intent classes are then further generalized to create a user intent template with an Inter-Rater Reliability of 75%.This research successfully extracts different user types based on their preferences in online content,platforms,criteria,and frequency.The study also validates the proposed template on user feedback data through Inter-Rater Agreement process using an external human rater.

Genomic profiling of colorectal cancer in large-scale Chinese patients:amplification and somatic mutations in ERBB2

Objectives:Human epidermal growth factor receptor 2(HER2)-targeted therapies have demonstrated potential benefits for metastatic colorectal cancer(mCRC)patients with HER2 amplification,but are not satisfactory in cases of HER2 mutant CRCs.Methods:Consequently,further elucidation of amplifications and somatic mutations in erythroblastic oncogene B-2(ERBB2)is imperative.Comprehensive genomic profiling was conducted on 2454 Chinese CRC cases to evaluate genomic alterations in 733 cancer-related genes,tumor mutational burden,microsatellite instability,and programmed death ligand 1(PD-L1)expression.Results:Among 2454 CRC patients,85 cases(3.46%)exhibited ERBB2 amplification,and 55 cases(2.24%)carried ERBB2 mutation.p.R678Q(28%),p.V8421(24%),and p.S310F/Y(12%)were the most prevalent of the 16 detected mutation sites.In comparison to the ERBB2 altered(alt)group,KRAS/BRAF mutations were more prevalent in ERBB2 wild-type(wt)samples(ERBB2wt vs.ERBB2alt,KRAS:50.9%vs.25.6%,p<0.05;BRAF:8.5%vs.2.3%,p<0.05).32.7%(18/55)of CRCs with ERBB2 mutation exhibited microsatellite instability high(MSI-H),while no cases with HER2 amplification displayed MSI-H.Mutant genes varied between ERBB2 copy number variation(CNV)and ERBB2 single nucleotide variant(SNV);TP53 alterations tended to co-occur with ERBB2 amplification(92.3%)as opposed to ERBB2 mutation(58.3%).KRAS and PIK3CA alterations were more prevalent in ERBB2 SNV cases(KRAS/PIK3CA:45.8%/31.2%)compared to ERBB2 amplification cases(KRAS/PIK3CA:14.1%/7.7%).Conclusion:Our study delineates the landscape of HER2 alterations in a large-scale cohort of CRC patients from China.These findings enhance our understanding of the molecular features of Chinese CRC patients and offer valuable implications for further investigation.

ABMRF:An Ensemble Model for Author Profiling Based on Stylistic Features Using Roman Urdu

This study explores the area of Author Profiling(AP)and its importance in several industries,including forensics,security,marketing,and education.A key component of AP is the extraction of useful information from text,with an emphasis on the writers’ages and genders.To improve the accuracy of AP tasks,the study develops an ensemble model dubbed ABMRF that combines AdaBoostM1(ABM1)and Random Forest(RF).The work uses an extensive technique that involves textmessage dataset pretreatment,model training,and assessment.To evaluate the effectiveness of several machine learning(ML)algorithms in classifying age and gender,including Composite Hypercube on Random Projection(CHIRP),Decision Trees(J48),Na飗e Bayes(NB),K Nearest Neighbor,AdaboostM1,NB-Updatable,RF,andABMRF,they are compared.The findings demonstrate thatABMRFregularly beats the competition,with a gender classification accuracy of 71.14%and an age classification accuracy of 54.29%,respectively.Additional metrics like precision,recall,F-measure,Matthews Correlation Coefficient(MCC),and accuracy support ABMRF’s outstanding performance in age and gender profiling tasks.This study demonstrates the usefulness of ABMRF as an ensemble model for author profiling and highlights its possible uses in marketing,law enforcement,and education.The results emphasize the effectiveness of ensemble approaches in enhancing author profiling task accuracy,particularly when it comes to age and gender identification.

家用洗涤对莨纱绸织物性能的影响

莨纱绸是利用全天然的原料在自然条件下加工而成,是中国独有的经典丝绸产品。文章研究了家用洗涤对莨纱绸织物性能的影响,以期对莨纱绸织物的服用性能有更深的了解。在洗涤过程中莨纱绸表面的黑胶层对织物的损伤具有保护作用。同等条件下莨纱绸洗后的强力损伤仅为普通丝绸的一半,具有极优异的耐洗涤性能。随着洗涤的进行,莨纱绸正面的黑胶层会逐渐剥落,织物反面的纤维逐渐起绒和原纤化,这有助于莨纱绸与皮肤触感的改善。反复洗涤后,莨纱绸的悬垂性明显提高,克罗值有所下降,紫外线防护性能提高,疏水性能没有明显改变。结果表明,家用洗涤可以改善莨纱绸的手感和服用性能,使其具有越洗越柔软和越洗越凉爽的织物特性。

复方中药添加剂对新吉林黑猪生产性能、肉品质、免疫及抗氧化性能的影响

试验旨在研究日粮中添加复方中药添加剂对新吉林黑猪生产性能、肉品质、免疫及抗氧化性能的影响。选用体重(75.68±3.28)kg、约4月龄的新吉林黑猪育肥猪40头,随机分为2组,每组5个重复,每个重复4头黑猪。对照组饲喂基础日粮,试验组在日粮基础上添加0.5%复方中草药(由黄芪、人参须、党参、山楂、陈皮和红枣配制而成),饲喂体重达到115 kg时屠宰。结果表明:与对照组相比,试验组新吉林黑猪平均日增重增加、耗料增重比降低(P<0.05),胴体斜长、宰前活重、胴体重、屠宰率增加(P<0.05),血清总抗氧化能力增强、免疫球蛋白A水平升高(P<0.05),肉色红色度加深、肌肉剪切力下降和肌内脂肪含量升高(P<0.05)。由此可见,由黄芪、人参须、党参、山楂、陈皮和红枣所配制而成的复方中药添加剂,能够提高新吉林黑猪育肥猪的生产性能,增强抗氧化能力和免疫能力,改善肉色和嫩度。

青贮甘蔗梢替代玉米秸秆对湖羊生长性能、消化代谢及肉品质的影响

[目的]本试验旨在探索青贮甘蔗梢替代青贮玉米秸秆作为肉羊日粮的可行性,并确定最佳的替代比例。[方法]选取3月龄、体重相近[(20.15±2.18)kg]的健康湖羊公羔48只,随机分成4组,每组3个重复,分别用青贮甘蔗梢替代0%(对照组)、50%(A组)、75%(B组)、100%(C组)青贮玉米秸秆饲喂,预试期10 d,正试期为60 d。试验开始和结束时测定湖羊生产性能,并采集血液样品进行血清生化分析;饲喂试验结束后,从每组不同重复各选择1只湖羊屠宰,测定其屠宰性能及肉品质;从每组不同重复再挑选3只湖羊进行消化代谢试验,测定养分消化代谢参数。[结果]B组和C组平均日增重、胴体重和屠宰率显著高于A组和对照组(P<0.05);B组和C组氮沉积量显著高于A组和对照组,A组、B组和C组的表观消化能和能量转化率均显著高于对照组;各组间血液生化指标、肉品质及肉营养成分均无显著差异(P>0.05)。青贮甘蔗梢替代75%和100%青贮玉米秸秆可以显著提高湖羊生长性能和屠宰性能,而且对湖羊血清生化指标、组织器官发育和肉品质无不利影响。[结论]青贮甘蔗梢可替代青贮玉米秸秆饲喂肉羊,且最佳替代比例为75%~100%。

大蒜素对育肥猪生长性能、屠宰性能及肉品质的影响

试验探讨了不同水平的大蒜素对育肥猪生长性能、屠宰性能及肉品质的影响,确定大蒜素在育肥猪生产中的最适添加水平。试验选择体重相近的健康的“杜×长×大”三元杂交育肥猪250头,随机分成5组,每组5个重复,每个重复10头猪。对照组育肥猪饲喂基础饲粮,大蒜素组育肥猪分别饲喂含有50(试验组1)、100(试验组2)、200(试验组3)、400 mg/kg(试验组4)大蒜素的试验饲粮。预试验1周,正式试验期42 d。结果显示,与对照组比较,试验组3和试验组4育肥猪末重显著提高(P<0.05),试验组3的平均日增重提高了11.60%(P<0.05),试验组2和试验组3育肥猪的料重比降低了8.64%和11.96%(P<0.05)。试验组3组育肥猪的宰前活重显著高于对照组(P<0.05);试验组2、试验组3和试验组4育肥猪的胴体重显著高于对照组(P<0.05),背膘厚度显著低于对照组(P<0.05)。试验组3和试验组4育肥猪的背最长肌pH值显著高于对照组(P<0.05),滴水损失显著低于对照组和试验组1(P<0.05),肌苷酸含量显著高于对照组(P<0.05);试验组3背最长肌的红度显著高于对照组和试验组1(P<0.05),试验组2、试验组3和试验组4背最长肌的剪切力显著低于对照组(P<0.05)。试验组3和试验组4育肥猪背最长肌中的总氨基酸、总必需氨基酸及鲜味氨基酸含量显著高于对照组(P<0.05)。研究表明,在育肥猪饲粮中添加适量的大蒜素可以提高生长性能和屠宰性能,改善肌肉品质,大蒜素的最适添加水平为200 mg/kg。

HFBAPP/6FDA/BPADA含氟苯醚型聚酰亚胺薄膜的制备与性能研究

以2,2-双[4-(4-氨基苯氧基)苯基]六氟丙烷(HFBAPP)为二胺单体,2,2′-双(3,4-二羧酸)六氟丙烷二酐(6FDA)和双酚A型二醚二酐(BPADA)为二酐单体制备了一系列HFBAPP/6FDA/BPADA含氟苯醚型PI薄膜。通过改变二酐单体比例,分析比较醚键与三氟甲基对PI薄膜综合性能的影响。结果表明:随着三氟甲基含量的升高和醚键含量的降低,HFBAPP/6FDA/BPADA含氟苯醚型PI薄膜的光学性能和热学性能提高,而力学性能下降,玻璃化转变温度最高可达247.3℃,800℃时的残炭率最高可达56.3%,可见光范围内的透光率最高可达88.2%,拉伸强度最高可达84.7 MPa。

拼接成型UHPC免拆模板钢筋混凝土柱的抗震性能

为研究超高性能混凝土(UHPC)免拆模板钢筋混凝土(URC)柱的抗震性能,选取UHPC免拆模板拼接方式和表面处理方式为试验设计参数,制作并完成了9个URC柱和1个钢筋混凝土(RC)柱的拟静力加载试验。模板拼接方式为螺栓加角钢连接、螺栓连接和环氧树脂砂浆连接;表面处理方式为光面处理、气泡膜印花处理和设肋处理,通过拟静力试验研究了模板拼接方式及表面处理方式对该类柱抗震性能的影响。此外,基于平截面假定,提出了URC柱的正截面偏压承载力计算式。结果表明:峰值荷载前,UHPC模板与核心混凝土黏结面无明显破坏,URC柱表现出良好的整体性,尤其是采用螺栓加角钢连接的URC柱,即使加载至极限位移时,也没有发生界面黏结失效破坏;与普通RC柱相比,URC柱的承载力提高了6.4%~43.3%,延性提高了11.4%~48.7%,耗能能力提高了27.7%~85.3%;三种连接方式中,采用螺栓加角钢连接的URC柱承载力最高,连接最可靠。最后,基于平截面假定提出的公式计算值与试验值吻合较好,可为工程应用提供参考。

装配式日光温室柔性复合墙体性能测试与分析

为解决装配式日光温室柔性墙体蓄热能力不足的问题,该研究通过在墙体内侧附加蓄热层的方式,设计了一种集蓄热、保温和防水多功能于一体的装配式柔性复合墙体。首先,通过对多种材料进行综合性能评估,筛选出优质的表层材料和保温材料,将其复合制成柔性保温墙体;其次,将水、沙子、相变水凝胶(phase change hydrogel,PCH)作为蓄热层固定在柔性保温墙体内侧,从而形成柔性复合墙体;最后,在4个模型温室中分别对墙体进行性能测试,以未附加蓄热层的柔性保温墙体为对照(CK),分析试验墙体的蓄热和保温性能。单一墙体材料的性能测试结果表明,表层材料中镀铝编织布、黑色淋膜毡抗拉性能好且不透水,断裂强力分别为1.06、0.56 kN,断裂伸长率分别为30.99%、65.91%;保温材料中再生棉、太空棉和空气柱保温效果较好且使用成本低,热阻值分别为0.30、0.50、0.76(m^(2)·℃)/W。柔性复合墙体的性能测试结果表明,所有处理中5 kg/m^(2) PCH柔性复合墙体的蓄热和保温性能最佳,热阻值为2.50(m^(2)·℃)/W,单位面积累计吸热量与放热量分别为1.48、1.13 MJ/m^(2);在典型晴天和阴天条件下,该处理的夜间室内平均温度分别比CK提高了3.08、1.87℃。上述分析结果表明,通过在柔性保温墙体内侧附加相变蓄热层的方式,能够增强墙体的蓄热和保温性能。研究结果可为今后装配式日光温室柔性复合墙体设计及材料选择提供理论依据。

全株玉米青贮不同比例替代花生秧对肉羊生产性能及肉品质的影响

试验旨在研究全株玉米青贮不同比例替代花生秧对肉羊生长性能、屠宰性能、肉品质和营养物质消化率的影响。选取杜寒杂交育肥羊100只,随机分为4组,每组5个重复,每个重复5只羊。对照组饲喂含100%花生秧的基础饲粮,3个试验组分别饲喂利用全株玉米青贮替代50%(50%替代组)、75%(75%替代组)、100%(100%替代组)花生秧的试验饲粮,试验期30 d。结果表明:与对照组相比,75%替代组可以显著提高肉羊试验期末重和平均日增重(P<0.05),显著降低肉羊试验期料重比(P<0.05),且75%替代组肉羊试验期末重和平均日增重显著高于50%替代组和100%替代组(P<0.05),料重比显著低于100%替代组(P<0.05);75%替代组可以提高肉羊屠宰前活体重(P<0.05)、胴体重(P>0.05)和眼肌面积(P>0.05);3个替代组对肉羊肉品质各项指标均无显著影响(P>0.05);75%替代组可以显著提高肉羊干物质和有机物的表观消化率(P<0.05)。综上所述,肉羊养殖饲粮中应用全株玉米青贮替代75%的花生秧可以提高肉羊生长性能、屠宰性能及饲粮中干物质和有机物的表观消化率。

刺五加多酚合成纳米氧化锌及其抗氧化和抗菌性能研究

本试验旨在绿色合成纳米氧化锌并探究该纳米氧化锌的活性。以刺五加多酚为原料,绿色合成纳米氧化锌(ZnO NPs),通过紫外-可见分光光度计、X-射线衍射仪(XRD)、傅里叶变换红外光谱仪(FTIR)、扫描电镜(SEM)、透射电镜(TEM)、热重分析(TG)和粒径分析对所制得的样品进行表征,通过1,1-二苯基-2-三硝基苯肼(DPPH)和2,2′-联氮-双-3-乙基苯并噻唑啉-6-磺酸(ABTS)自由基清除试验评价其抗氧化性能,通过沙门氏菌、大肠杆菌和金黄色葡萄球菌抑菌试验评价其抗菌性能。结果表明:本试验成功合成ZnO NPs,其在361 nm处有吸收峰,形态为六方晶系纤锌矿结构,晶体平均粒径为77.45 nm;当ZnO NPs质量浓度达到6 g/L时,对DPPH自由基的清除率达到93.28%;当ZnO NPs质量浓度达到9 g/L时,对ABTS自由基的清除率达到73.83%;ZnO NPs对沙门氏菌、大肠杆菌的最小抑菌浓度为64 g/L,最小杀菌浓度为80 g/L,对金黄色葡萄球菌的最小抑菌浓度为80 g/L,最小杀菌浓度为88 g/L,且ZnO NPs对大肠杆菌、沙门氏菌、金黄色葡萄球菌的抑菌活性均高于氧化锌(ZnO)。本试验以刺五加多酚为原料成功合成ZnO NPs,该ZnO NPs具有良好的抗氧化和抗菌性能,为其进一步开发为饲料添加剂奠定了基础。

不同粗蛋白质水平对白王种鸽繁殖性能和乳鸽生长性能的影响

试验旨在探究“2+2”生产模式下不同粗蛋白质水平对白王种鸽繁殖性能和乳鸽生长性能的影响。试验选取产蛋性能相近的300日龄健康种鸽168对,随机分为4组,每组7个重复,每个重复6对种鸽,每对种鸽哺育2只乳鸽。试验Ⅰ组、Ⅱ组、Ⅲ组和Ⅳ组分别饲喂粗蛋白质水平为13.43%、15.04%、16.64%和18.25%的饲粮。试验期46 d,其中孵化期18 d (1~18 d),哺乳期28 d (19~46 d)。结果显示,试验Ⅱ组、Ⅲ组产蛋间隔显著低于试验Ⅰ组(P<0.05),试验Ⅲ组种蛋受精率显著高于试验Ⅰ组、Ⅳ组(P<0.05),试验Ⅲ组入孵蛋孵化率极显著高于试验Ⅰ组、Ⅱ组、Ⅳ组(P<0.01)。试验Ⅲ组乳鸽28日龄体重显著高于试验Ⅰ组(P<0.05),乳鸽屠宰率极显著高于试验Ⅰ组(P<0.01),乳鸽胸肌率显著高于试验Ⅰ组、Ⅱ组、Ⅳ组(P<0.05)。试验Ⅱ组、Ⅲ组、Ⅳ组窝料重比1极显著低于试验Ⅰ组(P<0.01)。研究表明,不同粗蛋白质水平影响了种鸽的繁殖性能、乳鸽的生长性能以及窝料重比,在“2+2”生产模式下,建议白王种鸽饲粮适宜粗蛋白质水平为16.64%。

不同纤维增韧环氧沥青混合料性能

为探究不同种类纤维(玄武岩纤维、玻璃纤维和聚酯纤维)对环氧沥青混合料抗开裂和耐疲劳性能的提升效果,在混合料配比设计的基础上,采用车辙试验、低温小梁试验、浸水马歇尔试验以及冻融劈裂试验等对其进行路用性能测试。通过冲击试验,探究纤维对环氧沥青混合料的三种增韧效果:在环氧沥青混合料中添加纤维可以不同程度提高其路用性能;低温性能再加入纤维后,提升效果较为明显;添加玄武岩纤维路用性能优于玻璃纤维和聚酯纤维。

低压养护下低热水泥混凝土的性能研究

研究了不同养护(低压养护、标准养护)条件下掺不同品种水泥(普通硅酸盐水泥OPC、低热水泥LHPC)混凝土的性能,分析了LHPC混凝土的孔结构对其性能的影响。结果表明:相同养护条件下,LHPC混凝土的后期抗压强度高于OPC混凝土;低压养护条件下,LHPC的放热量远低于OPC,LHPC可以持续进行水化,对低压环境的适应性更好,LHPC混凝土的孔结构更加致密,LHPC混凝土的耐久性能更好;混凝土的耐久性能与孔结构呈线性关系,且耐久性能随着孔结构的劣化而降低。

发酵中药和油莎豆复合物对湖羊生长性能及血清抗氧化和免疫指标的影响

【目的】研究发酵中药和油莎豆复合物对湖羊生长性能、血清抗氧化及免疫指标的影响,为新型饲料添加剂的开发提供依据。【方法】选取体重相近、健康状况良好的育肥湖羊40只,随机分为2组:对照组和试验组,每组20只。对照组湖羊饲喂基础饲粮,试验组湖羊在基础饲粮中添加2%复合发酵物,预试期7 d,正试期42 d,在正试期第0、42天分别称重,计算平均日增重;记录日采食量,计算料重比;在试验第1、21和42天颈静脉采血并分离血清,测定湖羊血清中抗氧化指标和免疫指标。【结果】试验组湖羊的终末体重、平均日增重及平均日采食量均显著高于对照组(P<0.05)。与对照组相比,在试验第21天,试验组湖羊血清中过氧化氢酶(CAT)、总抗氧化能力(T-AOC)活性及免疫球蛋白G(IgG)、γ干扰素(INF-γ)含量分别提高了2.75%、3.46%、7.28%和4.55%(P<0.05),丙二醛(MDA)含量降低了12.72%(P<0.05);在试验第42天,CAT、T-AOC活性及IgG、INF-γ含量分别提高了3.17%、3.67%、9.77%和11.91%(P<0.05),MDA含量降低了15.10%(P<0.05)。【结论】在本试验条件下,饲粮中添加2%发酵中药和油莎豆复合物能有效改善湖羊的生长性能,提高抗氧化和免疫机能,可作为一种新型饲料添加剂应用到畜牧生产中。