35t反射炉喷流换热器的改造

通过对反射炉喷流换热器结构参数的调整。在保证传热强度的条件下，适当降低喷流速度，以达到降低喷流换热器的阻力损失的目的。     

中深孔采矿系列爆破漏斗试验研究

为了优化现有的中深孔凿岩爆破参数，通过系列爆破漏斗试验，为采矿设计提供合理的炸药单耗、最小抵抗线和最大孔底距参数范围，从而改善爆破效果，降低采矿成本。     

冷轧厂米巴赫焊机焊接参数优化的研究

对冷轧厂米巴赫焊机焊接工艺优化，用参数正交试验，电算数理统计，探明了各工艺参数与焊接接头可轧性的关系，建立了离线预报数学模型，提高了焊缝塑性，降低了冷轧焊缝的断带率。     

优化参数降低矿石大块率

针地造成矿石大块的原因，在理论指导下，通过反复试验，优化爆破参数，降低了大块率。     

迁钢公司2160热轧短行程控制模型研究

针对迁钢公司2160热轧在实际生产中遇到的带钢头尾宽度超差问题，分析其过程控制系统中短行程控制模型的设定及在线自适应方法，并通过模型仿真给出各人工配置参数对神经网络形式曲线形状的影响，据此来调整人工配置参数和自适应参数。实践表明，细化人工配置参数层别和调整在线自适应参数可成功降低带钢头尾宽度与本体宽度的偏差，提高带钢头尾宽度控制精度。     

焦油加工真空系统的改造

焦化厂焦油加工通过更新真空泵，改造泵的运转参数和管道连接，得到合适的真空度，满足了生产的需要。同时，通过改造降低了设备运转故障，节约了备件损耗和能源损耗，降低了生产成本。     

冷轧厂米巴赫焊机接参数优化的研究

对冷轧厂米巴赫焊机焊接了工艺优化，用参数正交试验，电算理统计，探明了各工艺参数与焊接接头可轧性的关系，建立了离线预报数学模型，提高了焊缝塑性，降低了冷轧焊缝的断带率。     

铁矿石烧结工艺参数优化模型的设计与应用

在分析配矿方案、工艺参数、产、质量指标三者相互关系的基础上，提出了两种优化烧结工艺参数的数学逻辑模型，即网络输出参数优化模型和网络输入参数优化模型．通过神经网络建模，比较建模结果，网络输入参数优化模型的效果更好．在神经网络模型的基础上结合遗传算法求解网络输入参数优化模型，计算出最佳的工艺参数．模型通过应用，不仅降低了烧结能耗，而且提高了烧结矿的产、质量，验证了模型的有效性和实用性．     

板坯连铸结晶器非正弦振动技术的应用

介绍了武汉钢铁（集团）公司第三炼钢厂结晶器液压正弦/非正弦振动技术，对非正弦振动与正弦振动的特点进行了比较。研究VAI提供给我厂的振动参数之间的关系，对振动参数进行了优化调整，降低负滑脱时间，明显减少板坯振痕深度和改善了表面质量，同时增加了正滑脱时间，降低了粘连漏钢的风险，提高了操作安全性。     

12500KVA节能型变压器的研制

介绍了风冷变压器技术性能，参数，结构及为提高变压器可靠性和降低损耗而采取的关键技术。     

改善大新锰矿爆破质量的途径

广西大新锰矿是一个大型露天开采的锰矿山，现有的凿岩爆破参数不尽合理，方法单调，爆破效果不理想。本文根据矿山具体情况，提出按不同地段的地质条件，采用不同的凿岩爆破方法和爆破多数，可以改善爆破质量，加快采剥进度，降低成本，提高效益。     

大口径方管滚模成形工艺的仿真分析

针对滚模成形大口径方形管成形工艺,采用有限元仿真软件ANSYS/DYNA对拉拔、推挤和滚轧进行仿真和比较分析,揭示各工艺过程的变形特点和作用力变化规律,为优选成型工艺参数提供了基础。     

大口径方管排辊成形工艺的仿真分析

针对四道次滚模压制大口径方形管成形工艺，采用有限元仿真软件ANSYS／DYNA对冷拔、推挤和滚轧进行仿真和比较分析，揭示各工艺成形的形状变形特点和作用力变化规律，为优选成型工艺参数提供了基础。     

浅谈建筑工程质量通病的产生背景

通过对建筑工程质量通病产生背景的分析、探讨、总结,希望有助于各级工程管理人员从不同的侧面分析和认识这些因素,采取不同对策,不同检查手段进行有效控制,以减少质量通病的产生.     

Endpoint Prediction of EAF Based on Multiple Support Vector Machines

 The endpoint parameters are very important to the process of EAF steel making, but their on line measurement is difficult. The soft sensor technology is widely used for the prediction of endpoint parameters. Based on the analysis of the smelting process of EAF and the advantages of support vector machines, a soft sensor model for predicting the endpoint parameters was built using multiple support vector machines (MSVM). In this model, the input space was divided by subtractive clustering and a sub model based on LS SVM was built in each sub space. To decrease the correlation among the sub models and to improve the accuracy and robustness of the model, the sub models were combined by Principal Components Regression. The accuracy of the soft sensor model is perfectly improved. The simulation result demonstrates the practicability and efficiency of the MSVM model for the endpoint prediction of EAF.     

螺纹钢筋表面黑线缺陷技术研究

主要针对邯钢公司的大规格螺纹表面存在的黑线缺陷进行技术研究，通过分析找出其产生的原因，并提出相应措施来减少表面黑线的产生，提高螺纹表面质量。     

Mathematical model for addiction: Application to Multiple Risk Factor Intervention Trial data for smoking.

Describes habituation and addiction, both psychological and physiological, using the simple equations of the mathematical model of ideodynamics. The parameters in these equations were optimized to smoking data from the Multiple Risk Factor Intervention Trial (MRFIT) program. With only 4 constant parameters, it was possible to calculate accurate time trends for recidivism to smoking among quitters, time trends for secondary cessation among recidivists, and final percentage of smokers in a population with both recidivism and secondary cessation occurring simultaneously. These same parameters further permit predictions for the long-range success of intervention programs to decrease substance dependency. Ideodynamics can also predict time trends of public opinion based on stories in the mass media. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

W－CeO_2合金的烧结与加工缺陷的研究

本文研究了Ｗ－ＣｅＯ＿２合金在制备过程中工艺参数的选择及其对产品质量的影响，系统地探索了粉末粒度、装粉量、成形压力、垂熔电流、坯条密度及ＣｅＯ＿２含量之间的相互关系，从而确立了最佳的制粉、压制、垂熔、加工工艺。文中也分析了产品缺陷产生的原因，提出了避免缺陷的办法。     

球团矿CO还原过程中微观结构的变化

根据高喷煤比的高炉多相流模拟研究数据,对球团矿进行CO还原反应实验,运用扫描电镜等手段对不同还原度的球团矿做微观结构分析,以探究不同还原阶段引起球团矿强度下降原因.微观结构分析表明,还原过程中从高价铁氧化物到低价铁氧化物变化过程中晶格的增大,新生铁相基体孔隙的增加、裂纹的产生以及渣铁分离等是导致强度下降的主要原因.     

A 30-year-old woman with headache

Recent studies have reported a close association between chronic fatigue syndrome and neurally mediated hypotension. We hypothesized that this association may result from an abnormality in autonomic function among patients with chronic fatigue syndrome, which may be detectable using an analysis of heart rate variability. We prospectively studied 19 patients who fulfilled the Centers for Disease Control criteria for chronic fatigue syndrome and 11 controls. Each subject underwent a two-stage tilt-table test while wearing a Holter monitor. Heart rate variability was assessed in the supine baseline position and during upright tilt using frequency domain parameters. In the baseline supine position, high frequency (HF) power, low frequency (LF) power, and the ratio of low frequency power to high frequency power (LF/HF ratio) were similar. In both patient groups, upright tilt resulted in a similar decrease in HF power, increase in LF power, and increase in the LH/HF ratio. In conclusion, autonomic function, as assessed using an analysis of heart rate variability, does not differ in the baseline supine state, nor in response to upright tilt among patients with chronic fatigue syndrome and healthy controls.