Accurate models and nutritional strategies for specific oxidative stress factors: Does the dose matter in swine production?

Oxidative stress has been associated with a number of physiological problems in swine,including reduced production efficiency.Recently,although there has been increased research into regulatory mechanisms and antioxidant strategies in relation to oxidative stress-induced pig production,it remains so far largely unsuccessful to develop accurate models and nutritional strategies for specific oxidative stress factors.Here,we discuss the dose and dose intensity of the causes of oxidative stress involving physiological,environmental and dietary factors,recent research models and the antioxidant strategies to provide theoretical guidance for future oxidative stress research in swine.

Integrated high-performance and accurate shaping technology of low-cost powder metallurgy titanium alloys: A comprehensive review

The practical engineering applications of powder metallurgy (PM) Ti alloys produced through cold compaction and pressure-less sintering are impeded by poor sintering densification, embrittlement caused by excessive O impurities, and severe sintering deforma-tion resulting from the use of heterogeneous powder mixtures. This review presents a summary of our previous work on addressing the above challenges. Initially, we proposed a novel strategy using reaction-induced liquid phases to enhance sintering densification. Near- complete density (relative density exceeding 99%) was achieved by applying the above strategy and newly developed sintering aids. By focusing on the O-induced embrittlement issue, we determined the onset dissolution temperature of oxide films in the Ti matrix. On the basis of this finding, we established a design criterion for effective O scavengers that require reaction with oxide films before their dissol-ution. Consequently, a ductile PM Ti alloy was successfully obtained by introducing 0.3wt% NdB6 as the O scavenger. Lastly, a powder- coating strategy was adopted to address the sintering deformation issue. The ultrafine size and shell-like distribution characteristics of coating particles ensured rapid dissolution and homogeneity in the Ti matrix, thereby facilitating linear shrinkage during sintering. As a result, geometrically complex Ti alloy parts with high dimensional accuracy were fabricated by using the coated powder. Our fundament-al findings and related technical achievements enabled the development of an integrated production technology for the high-performance and accurate shaping of low-cost PM Ti alloys. Additionally, the primary engineering applications and progress in the industrialization practice of our developed technology are introduced in this review.

Predicting the probability distribution of Martian rocks mechanical property based on microscale rock mechanical experiments and accurate grain-based modeling

The exploration of Mars would heavily rely on Martian rocks mechanics and engineering technology.As the mechanical property of Martian rocks is uncertain,it is of utmost importance to predict the probability distribution of Martian rocks mechanical property for the success of Mars exploration.In this paper,a fast and accurate probability distribution method for predicting the macroscale elastic modulus of Martian rocks was proposed by integrating the microscale rock mechanical experiments(micro-RME),accurate grain-based modeling(AGBM)and upscaling methods based on reliability principles.Firstly,the microstructure of NWA12564 Martian sample and elastic modulus of each mineral were obtained by micro-RME with TESCAN integrated mineral analyzer(TIMA)and nanoindentation.The best probability distribution function of the minerals was determined by Kolmogorov-Smirnov(K-S)test.Secondly,based on best distribution function of each mineral,the Monte Carlo simulations(MCS)and upscaling methods were implemented to obtain the probability distribution of upscaled elastic modulus.Thirdly,the correlation between the upscaled elastic modulus and macroscale elastic modulus obtained by AGBM was established.The accurate probability distribution of the macroscale elastic modulus was obtained by this correlation relationship.The proposed method can predict the probability distribution of Martian rocks mechanical property with any size and shape samples.

Effects of data smoothing and recurrent neural network(RNN)algorithms for real-time forecasting of tunnel boring machine(TBM)performance

Tunnel boring machines(TBMs)have been widely utilised in tunnel construction due to their high efficiency and reliability.Accurately predicting TBM performance can improve project time management,cost control,and risk management.This study aims to use deep learning to develop real-time models for predicting the penetration rate(PR).The models are built using data from the Changsha metro project,and their performances are evaluated using unseen data from the Zhengzhou Metro project.In one-step forecast,the predicted penetration rate follows the trend of the measured penetration rate in both training and testing.The autoregressive integrated moving average(ARIMA)model is compared with the recurrent neural network(RNN)model.The results show that univariate models,which only consider historical penetration rate itself,perform better than multivariate models that take into account multiple geological and operational parameters(GEO and OP).Next,an RNN variant combining time series of penetration rate with the last-step geological and operational parameters is developed,and it performs better than other models.A sensitivity analysis shows that the penetration rate is the most important parameter,while other parameters have a smaller impact on time series forecasting.It is also found that smoothed data are easier to predict with high accuracy.Nevertheless,over-simplified data can lose real characteristics in time series.In conclusion,the RNN variant can accurately predict the next-step penetration rate,and data smoothing is crucial in time series forecasting.This study provides practical guidance for TBM performance forecasting in practical engineering.

Tunnelling performance prediction of cantilever boring machine in sedimentary hard-rock tunnel using deep belief network

Evaluating the adaptability of cantilever boring machine(CBM) through in-depth excavation and analysis of tunnel excavation data and rock mass parameters is the premise of mechanical design and efficient excavation in the field of underground space engineering.This paper presented a case study of tunnelling performance prediction method of CBM in sedimentary hard-rock tunnel of Karst landform type by using tunneling data and surrounding rock parameters.The uniaxial compressive strength(UCS),rock integrity factor(Kv),basic quality index([BQ]),rock quality index RQD,brazilian tensile strength(BTS) and brittleness index(BI) were introduced to construct a performance prediction database based on the hard-rock tunnel of Guiyang Metro Line 1 and Line 3,and then established the performance prediction model of cantilever boring machine.Then the deep belief network(DBN) was introduced into the performance prediction model,and the reliability of performance prediction model was verified by combining with engineering data.The study showed that the influence degree of surrounding rock parameters on the tunneling performance of the cantilever boring machine is UCS > [BQ] > BTS >RQD > Kv > BI.The performance prediction model shows that the instantaneous cutting rate(ICR) has a good correlation with the surrounding rock parameters,and the predicting model accuracy is related to the reliability of construction data.The prediction of limestone and dolomite sections of Line 3 based on the DBN performance prediction model shows that the measured ICR and predicted ICR is consistent and the built performance prediction model is reliable.The research results have theoretical reference significance for the applicability analysis and mechanical selection of cantilever boring machine for hard rock tunnel.

Vibrations induced by tunnel boring machine in urban areas: In situ measurements and methodology of analysis

Excavation with tunnel boring machine(TBM)can generate vibrations,causing damages to neighbouring buildings and disturbing the residents or the equipment.This problem is particularly challenging in urban areas,where TBMs are increasingly large in diameter and shallow in depth.In response to this problem,four experimental campaigns were carried out in different geotechnical contexts in France.The vibration measurements were acquired on the surface and inside the TBMs.These measurements are also complemented by few data in the literature.An original methodology of signal processing is pro-posed to characterize the amplitude of the particle velocities,as well as the frequency content of the signals to highlight the most energetic bands.The levels of vibrations are also compared with the thresholds existing in various European regulations concerning the impact on neighbouring structures and the disturbance to local residents.

Why Is an Integral an Accurate Value?

The derivative and integral in calculus are both exact values. To explain this reason, the integration interval can be infinitely subdivided. The difference in area between curved trapezoids and rectangles can be explained by the theory of higher-order infinitesimal, leading to the conclusion that the difference between the two is an infinitesimal value. From this, it can be inferred that the result obtained by integration is indeed an accurate value.

Theory and Practice of High-Level Sprint Training Based on Accurate Sectional Timing

There is an obvious gap in sprint level at home and abroad,and there are different opinions on the reasons.According to the analysis,physical energy and its distribution in each segment are the main factors restricting the sprint performance in China.Different from middle and long-distance running,we must rely on accurate sectional timing technology to master the law of speed-physical energy change in the process of sprint.Each stage is an integral part of the whole dash process,and each part restricts each other.Each stage has a relative best achievement.Simply pursuing the optimal state of segment is not only not helpful to the final result,but also counterproductive.

设施黄瓜主要病害发生及综合防控

从病害发生特点、为害症状、侵染循环、流行因素及防控技术等方面对我国设施黄瓜主要病害发生情况及其综合防控技术进行总结、分析和展望,以期为黄瓜主要病害监测和防控技术研究提供参考。

面向教师画像的能力精准测评和可视化呈现

在人工智能助推教师队伍建设背景下,借助画像技术实现对教师能力的精准测评并助力其个性化发展,愈发重要。然而,面向教师画像的能力测评精准性仍有待提高,其可视化呈现方式的解释性也仍显不足。研究根据教师能力的构成特征及多模态数据测评文献分析,构建了全面细粒度的面向教师画像的能力测评框架,并从数据多源采集及其准确处理的角度,提出了有效场景信息识别、数据采集高支持度保障、跨场景数据动态融合、非线性特征提取算法优化等四方面的测评精准性提升策略。结合自主研发的师范生教学基本技能智能实训系统,研究分析了教师画像的数据可视化特征,探讨了能力外显的行为、社会交互、知识、情感等四类数据属性的可视化方式。

基于四行精密播种的玉米直播机设计与试验

为了解决播种玉米种子精度低的问题,设计了一款基于四行精密播种的玉米直播机,可实现玉米种子快速、精准播种。试验表明:该玉米直播机移动性能好、播种速度快、种植深度和每穴种子数量更加准确,封土情况也大幅改善,符合设计需求,具有较高的可靠性和可行性。

井工煤矿甲烷排放精准监测与核算

甲烷作为全球第二大温室气体,具有增温潜势高、寿命短的特点,主要来源于煤炭、油气生产、农业、畜牧业和废弃物处理等领域。积极稳妥有序控制甲烷排放,兼具减缓全球温升的气候效益、能源资源化利用的经济效益、协同控制污染物的环境效益和减少生产事故的安全效益。甲烷也是煤矿生产排放中最主要的温室气体,目前对煤矿甲烷的排放监测及其在煤矿三维立体空间内的浓度分布研究将成为我国甲烷排放控制行动的重点,对煤矿企业更好顺应国家战略具有重要意义。选取山西某高瓦斯矿井、陕西某低瓦斯矿井进行甲烷排放监测核算,以固定监测、手工监测、无人机监测及矿后活动监测等方式研究我国高低瓦斯矿井甲烷分布,并对其甲烷排放量开展分析。结果表明:①美国Climate TRACE网站公布的山西某高瓦斯矿井、陕西某低瓦斯矿井2022年度甲烷排放量与实测法计算的结果差异较大,其中公布的某低瓦斯矿井年度甲烷排放量为实测法计算结果的10.92倍,自上而下的监测核算方法准确性不足,无法为碳交易提供可靠的数据支持。②矿后活动监测核算发现,采用IPCC缺省值计算的矿后活动甲烷排放量是实测法计算的3~5倍,且不同粒径和暴露时间下煤样反馈的矿后活动排放量差异较大。亟需一套统一精准的测试标准,为未来碳市场交易提供公平准确的数据。

大学生慢就业现象的影响因素与应对策略研究

近年来,大学生慢就业现象比较常见,引起社会广泛关注。为科学评价大学生慢就业现象,合理引导高校毕业生就业,选取河北省5所高校2023年应届毕业生为调研对象,开发测评量表,编制设计调查问卷,构建大学生慢就业影响因素测评体系,对其就业能力、就业准备、职业规划、就业观念、就业压力等影响因素进行定量评价,探索应对大学生慢就业现象的策略。大学生就业率是衡量高校教学质量与就业情况的重要指标,也是经济社会发展的重要保障,为此高校应紧跟社会需求,优化人才培养方案,提升人才培养素质;毕业生自身也应摆正就业心态,积极做好就业准备与职业规划;毕业生家庭也应改变择业观,尊重子女的就业选择,协助其做好职业发展规划,帮助其进一步明确人生目标。

医药类高校图书馆精准化学科服务发展现状及服务模式研究

文章采用文献调研法和网络调研法,从部门和人员设置、基础服务、科研支持服务、管理与决策支持服务等角度,对2022年软科医科类大学排名前30的高校图书馆学科服务现状进行调研。针对调研中发现的问题,构建基于数据驱动的全景式精准化学科服务模式,以期为医药类高校图书馆学科服务的发展提供参考。

强涌潮水流条件下直立圆柱体的涌潮作用力试验研究

为厘清强涌潮河口直立式圆柱体受到的涌潮作用力与涌潮水流条件、圆柱直径的关系,通过涌潮水槽模型试验研究了三种直径直立圆柱在不同潮前水深、涌潮高度条件下的涌潮作用力。结果表明,强涌潮的涌潮作用力为直立圆柱受到冲击力叠加该时刻的水流绕流阻力、圆柱前后水位压差力。通过数据回归分析,得到了一个无量纲涌潮作用力计算公式。该公式表明,涌潮作用力分析计算除了要考虑涌潮高度、圆柱直径外,潮前水深也是关键因素,且涌潮作用力与圆柱直径之间存在显著的非线性关系。

基于仿真数据驱动的激光钻进气体喷嘴结构优化

激光钻进采用气体作为循环介质进行清孔,合理的气体流动特性是高效清孔的保障,气体喷嘴是影响气体流动特性的直接因素,其结构设计不合理会严重影响激光钻进的效率。针对激光钻进实验平台中的气体喷嘴,构建喷嘴基本型态,对影响气体清孔效率的喷嘴结构尺寸进行分析,制定仿真方案,通过Fluent模拟气体流场,对清孔效果进行分析,采用神经网络分析喷嘴结构及仿真结果,训练神经网络模型,得出最佳清孔效率时的喷嘴结构参数并进行验证,为喷嘴结构设计提供参考。

甘肃地区遗传代谢病疾病谱及致病基因分析

目的对甘肃地区新生儿遗传代谢病(inherited metabolic disorder,IMD)的疾病谱和致病基因变异进行分析。方法回顾性分析2018年1月—2021年12月甘肃省妇幼保健院286682例新生儿IMD筛查的串联质谱数据,对串联质谱初筛及复查阳性的患儿进行基因分析。结果286682例新生儿中共发现28个致病基因导致的23种IMD,IMD总患病率为0.63‰(1/1593),其中苯丙酮尿症患病率最高(0.32‰,1/3083),其次为甲基丙二酸血症(0.11‰,1/8959)及四氢生物蝶呤缺乏症(0.06‰,1/15927)。在28个致病基因中共鉴定出166种变异,其中9个基因中存在13种新变异。根据美国医学遗传学与基因组学学会指南,5种新变异为致病变异,7种为可能致病变异,1种为临床意义未明。结论该研究丰富了IMD相关致病基因变异数据库,为该地区IMD精准筛查与诊断体系的建立提供基础性数据。

10种杀虫剂对桃小食心虫防治效果评价

【目的】研究不同杀虫剂对桃小食心虫Carposina sasakii Matsmur的防治效果,筛选环境友好型农药和施药量,为有效控制桃小食心虫的发生与危害提供科学依据。【方法】选择10种新型杀虫剂2022年采用田间小区药效试验,比较不同杀虫剂的防治效果。【结果】10种处理药后7 d防效均较好,处理间无显著性差异(P>0.05),其中10%联苯·氟酰脲悬浮剂、1%苦参碱可溶液剂和12%甲维·虫螨腈悬浮剂,在药剂稀释倍数药后14 d,防效均能达到93.33%以上,1%苦参碱可溶液剂在药后21 d各所有处理区防治效果均在90.00%以上,不同药剂之间在药后14~21 d防治效果有一定波动。【结论】参试10种药剂各处理区药后7 d对桃小食心虫均具有显著的防治效果,其中1%苦参碱可溶液剂、10%联苯·氟酰脲悬浮剂和12%甲维·虫螨腈悬浮剂,施药后14 d防治效果表现优异,可在生产实践中使用。

HSP超前探测技术在煤矿TBM掘进巷道中的应用研究

随着全断面掘进机TBM(Tunnel Boring Machine)逐渐应用于煤矿岩巷掘进,对不良地质构造进行超前准确快速预测的需求日益迫切。通过对主动源地震波超前探测方法的特点和TBM破岩震源超前探测技术的适用性进行分析,结合煤矿巷道地质和生产条件,提出了适用于煤矿巷道TBM掘进的HSP超前探测方法。以河南平顶山首山一矿TBM掘进底板瓦斯治理巷道为工程背景,选用防爆硬件一体化设计的探测仪器在煤矿巷道中进行应用。构建了空间型观测方式对煤矿巷道近水平煤线进行探测,优化了双护盾TBM掘进巷道狭小空间检波器阵列式布置参数;基于时频分析、互相关干涉处理、反射与散射联合反演等方法处理原始信号并进行探测结果成像。研究表明:采用空间型观测方式可实现与巷道小角度斜交煤线的识别,设计震源与首检波器间距离为15 m时最优。通过时频分析提取有效信号,利用互相关干涉法获取虚拟震源道和反射特征曲线,并结合反射与散射联合反演成像得到探测区域地层反射能量分布图,能够较准确地推测得到围岩存在的不良地质构造。通过比较现场开挖揭露情况与探测结果发现两者吻合度较高,表明HSP超前探测方法可实现掘进工作面前方100 m范围内超前无损地质预测,有助于提高煤矿岩巷TBM掘进速度。

冻结立井井筒机械化掘进现状及发展趋势

针对我国“富煤贫油少气”的能源赋存结构及煤炭未来一段时间将长期占据能源消耗主导地位的特点,回顾了我国煤炭井工开采领域冻结立井井筒机械化掘进发展历程。钻爆法凿井作为我国立井井筒施工的主要工法,炸药的应用大幅提高了冻结井筒的掘进效率,配套的伞钻打孔、抓岩机装岩、大型井架及设备提升、大模板砌壁等大型机械化设备的应用,大幅提高了井筒成井速度;竖井钻机、反井钻机及竖井掘进机作为特殊地层条件下立井井筒特殊凿井方式,也有各自应用范围。面对我国西部富水弱胶结地层特点及智慧矿山发展趋势,采用冻结+钻爆法施工难以满足千米级弱胶结岩层立井井筒智能化无人化的建设需求,而采用冻结+竖井掘进机钻井是未来超深立井井筒技术发展方向之一。结合国外冻结+竖井掘进机凿井工程案例,针对我国西部富水弱胶结岩层立井井筒建设,提出了冻结+竖井掘进机凿井在冻结壁厚度和强度设计理论、双层钢筋混凝土井壁永久支护、低温环境下竖井掘进机掘进破岩形式以及分级上排渣方式等冻-掘-支-运协同作业方面提出了合理化建议;明确了井壁结构与弱胶结围岩相互作用机理,优化双层井壁结构方法,构建竖井掘进机掘-支-运同步作业模式等,提升井筒建设综合效率,提高信息化水平,推动立井井筒向机械化、绿色化和智能化发展。