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International Journal of Mining Science and Technology 2013年第5期23卷 725-731页

作者： T.Laxmi Satya Sai Srikant D.S.rao r.bhima rao Mineral Processing Department CSIR-Institute of Minerals and Materials Technology Department of Electronics and Communication Engineering SRM University Aryan College of Engineering and Technology

This paper deals with the recovery of ilmenite mineral from red sediments of badlands topography and suggested flowsheet with material *** results of these investigations reveal that the red sediment samples contain 33.2%total heavy mineral,in which ilmenite mineral concentrate is 28.71%(by weight).The ilmenite concentrate recovered from red sediment sample by physical benefciation process,which included scrubbing,desliming,gravity concentration,magnetic and electrostatic separation,contains 99.41%grade with 97.3%*** ilmenite mineral concentrate recovered from red sediments is also suitable for industrial *** characterization studies on ilmenite reveal that the TiO2percentage is marginally increasing from 46.69%to 47.86%with increasing magnetic intensity from0.46 to 1.55 T.

关键词： red sediments Badlands topography Ilmenite Benefciation Characterization

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用添加剂改善磁性氧化铁粉碎性能

化工装备技术 1991年第6期12卷 41-42页

作者： r.bhima rao B.r.Manapatra 严培德

长期以来,人们一直在努力寻求降低湿式介质研磨设备高能耗的方法。笔者从一篇专业论文中注意到,在湿式研磨粉碎过程中使用化学添加剂来改善物料的特性,便能提高物料的可粉碎性。为此,笔者作了广泛调查研究,以磁性氧化铁(又称四氧化三铁... 详细信息

长期以来,人们一直在努力寻求降低湿式介质研磨设备高能耗的方法。笔者从一篇专业论文中注意到,在湿式研磨粉碎过程中使用化学添加剂来改善物料的特性,便能提高物料的可粉碎性。为此,笔者作了广泛调查研究,以磁性氧化铁(又称四氧化三铁,以颜料和擦光剂原料为物料,配以不同的添加剂进行试验。结果证明,使用氧化钙为添加剂,物料的粉碎效果明显改善。电子扫描显微照片表明,在氧化钙添加剂作用下,磁性氧化铁表面蜂窝结构组织骤增,因而变得松脆,易于粉碎。

关键词：助剂磁性氧化铁粉碎性能研磨

Flotation tree analysis for recovery of sillimanite from red sediments

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International Journal of Mining Science and Technology 2015年第5期25卷 843-848页

作者： Laxmi T. rao r.bhima Advanced Materials Technology Department Institute of Minerals & Materials Technology Aryan Institute of Engineering and Technology Bijupatnaik University of Technology

In this paper an attempt is made to recover sillimanite by flotation tree analysis process and conventional flotation process from non magnetic fraction of red *** experimental results of both the processes are *** data reveal that the deslimed sample contains 33.2%(by weight) total heavy minerals and out of which the sillimanite mineral content is 3.6%(by weight).It is observed that flotation tree analysis needs 10 cells to get five output products and where as conventional flotation process needs 15 cells to recover similar grade of five output ***,flotation tree analysis is not only economic process but also efficient process(to say efficient process,the tree analysis product should be higher grade).

关键词： Tree analysis Flotation red sediment Sillimanite

recovery of Total Heavy Minerals from Badlands of Basanputti Village,Odisha

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Journal of Earth Science 2012年第6期23卷 892-899页

作者： T Laxmi rajalaxmi Mohapatra r.bhima rao Institute of Minerals and Materials Technology Council of Scientific and Industrial ResearchBhubaneswar 751013India Aryan Institute of Engineering and Technology Bijupatnaik UniversityBhubaneswarIndia

The badland topography of Basanputti Village, Ganjam District, Odisha, possesses red sediments. The typical red sediment deposit, on average, consists of 71.8% total heavy minerals （THM）, out of which 62.1% are ilmenite. The other heavy minerals sillimanite, zircon, garnet, monazite, and pyriboles are in the order of abundance identified. In this present study, Mozley mineral separator has been used to recover THM from red sediment. Mineral separator results indicate that a product ob- tained contains 72.2% by weight with 94.4% THM and 95% recovery. The ilmenite concentrate recov- ered using dry low-intensity magnetic separator from the THM concentrate can be used in pigment in- dustries after suitable pyrometallurgical/chemical processing methods.

关键词： red sediment total heavy mineral (THM) Mozley mineral separator Perm roll mag-netic separator ilmenite zircon.

Passive activity enhances residual control ability in patients with complete spinal cord injury

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Neural regeneration research 2025年第8期20卷 2337-2347页

作者： Yanqing Xiao Mingming Gao Zejia He Jia Zheng Hongming Bai Jia-Sheng rao Guiyun Song Wei Song Xiaoguang Li Beijing Key Laboratory for Biomaterials and Neural regeneration Beijing Advanced Innovation Center for Biomedical EngineeringSchool of Biological Science and Medical EngineeringBeihang UniversityBeijingChina Department of rehabilitation Evaluation China Rehabilitation Research CenterBeijingChina Cardiac Center Beijing Children’s HospitalCapital Medical UniversityBeijingChina The State Key Laboratory of Virtual reality Technology and Systems Beihang UniversityBeijingChina Department of rehabilitation Engineering China Rehabilitation Science InstituteBeijingChina

Patients with complete spinal cord injury retain the potential for volitional muscle activity in muscles located below the spinal injury ***,because of prolonged inactivity,initial attempts to activate these muscles may not effectively engage any of the remaining neurons in the descending pathway.A previous study unexpectedly found that a brief clinical round of passive activity significantly increased volitional muscle activation,as measured by surface *** this study,we further explored the effect of passive activity on surface electromyographic signals during volitional control tasks among individuals with complete spinal cord *** patients with chronic complete thoracic spinal cord injury were *** electromyography data from eight major leg muscles were acquired and compared before and after the passive activity *** results indicated that the passive activity led to an increased number of activated volitional muscles and an increased frequency of *** the cumulative root mean square of surface electromyography amplitude for volitional control of movement showed a slight increase after passive activity,the difference was not statistically *** findings suggest that brief passive activity may enhance the ability to initiate volitional muscle activity during surface electromyography tasks and underscore the potential of passive activity for improving residual motor control among patients with motor complete spinal cord injury.

关键词： complete spinal cord injury cycle training epidural electrical stimulation motor training passive activity physiological state spinal cord circuit surface electromyography volitional control task

Beneficiation and Characterization of Detrital Zircons from Beach Sand and red Sediments in India

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Journal of Minerals and Materials Characterization and Engineering 2011年第15期10卷 1409-1428页

作者： Sunita routray r. bhima rao Institute of Minerals and Materials Technology(Council of Scientific and Industrial research)Bhubaneswar 751 013 India

This paper deals with the recovery of zircon minerals from beach sand and red sediments of bad land topography and flow sheets with material balance are suggested. The experimental data reveal that the total heavy mineral content of red sediment sample is 43.9% in which zircon mineral concentrate is 2.75% by weight, where as for beach-dune sand sample the THM content is 16.7% in which zircon mineral concentrate is 0.16% by weight. It is found that U and Th and rEE elements contents are much higher in red sediment zircon sample than beach sand zircon. Zircon concentrates recovered from beach-dune sand and red sediments contain 98 to 98.1% zircon with 79.6 to 80% recovery respectively. These zircon minerals from both the sources are suitable for industrial applications.

关键词： Beach -Dune sand red Sediment Zircon Beneficiation Characterization

Infiltration by monocytes of the central nervous system and its role in multiple sclerosis: reflections on therapeutic strategies

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Neural regeneration research 2025年第3期20卷 779-793页

作者： Guangyong Zhang Qing Yao Chubing Long Pengcheng Yi Jiali Song Luojia Wu Wei Wan Xiuqin rao Yue Lin Gen Wei Jun Ying Fuzhou Hua Department of Anesthesiology the Second Affiliated Hospital of Nanchang UniversityNanchangJiangxi ProvinceChina Key Laboratory of Anesthesiology of Jiangxi Province NanchangJiangxi ProvinceChina

Mononuclear macrophage infiltration in the central nervous system is a prominent feature of neuroinflammation. recent studies on the pathogenesis and progression of multiple sclerosis have highlighted the multiple roles of mononuclear macrophages in the neuroinflammatory process. Monocytes play a significant role in neuroinflammation, and managing neuroinflammation by manipulating peripheral monocytes stands out as an effective strategy for the treatment of multiple sclerosis, leading to improved patient outcomes. This review outlines the steps involved in the entry of myeloid monocytes into the central nervous system that are targets for effective intervention: the activation of bone marrow hematopoiesis, migration of monocytes in the blood, and penetration of the blood–brain barrier by monocytes. Finally, we summarize the different monocyte subpopulations and their effects on the central nervous system based on phenotypic differences. As activated microglia resemble monocyte-derived macrophages, it is important to accurately identify the role of monocyte-derived macrophages in disease. Depending on the roles played by monocyte-derived macrophages at different stages of the disease, several of these processes can be interrupted to limit neuroinflammation and improve patient prognosis. Here, we discuss possible strategies to target monocytes in neurological diseases, focusing on three key aspects of monocyte infiltration into the central nervous system, to provide new ideas for the treatment of neurodegenerative diseases.

关键词： blood–brain barrier macrophages monocytes multiple sclerosis neuroinflammation review therapy

Thermal,corrosion and wear analysis of copper based metal matrix composites reinforced with alumina and graphite

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Defence Technology（防务技术） 2018年第4期14卷 346-355页

作者： Venkatesh r Vaddi Seshagiri rao Department of Mechanical Engineering St.Joseph's College of EngineeringChennai600119TamilnaduIndia St.Joseph's College of Engineering ChennaiTamilnaduIndia

The wear and corrosion resistances are important in marine applications, especially when it comes to structural support components like bearings, bushes and blocks. The copper hybrid metal matrix components are the new avenues explored in this front. A novel combination of alumina and graphite were considered as the reinforcements in a copper base for the development of a metal matrix *** metallurgical techniques were used for the development of the MMC. The Vickers' s hardness value of 64.9 Hv has been observed by increasing the volume of alumina. Thermogravimetric analyses were carried out on material samples to estimate the exact sintering temperature and identified that 450-700℃ would be conducive. The TGA curves shows two step decomposition exists between 430 ℃-460 ℃. FT-Ir analysis was done to confirm the peak values of the materials. FTIr exposed the peak value of 1600 cm^(-1) for alumina where as for Copper and graphite peak values have been 2840 cm^(-1) and 17260 cm^(-1) respectively. The potentio dynamic analysis was done to estimate the rate of corrosion on the samples. The sample with nano and micro reinforcements offered intensive resistance to corrosion. The presence of graphite minimized the weight loss of the samples during the corrosion test. Finally the wear rates of the samples were estimated using the Pin On Disc experimental setup. The samples with nano material reinforcement and with a maximum proportion of graphite exhibited a better wear rate of 1.52×10^(-12) m^2/kg under maximum load conditions.

关键词： TGA FTIr Corrosion Pin-on-disc Wear rate

Artificial neural network approach for prediction of stress–strain curve of near b titanium alloy

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rare Metals 2014年第3期33卷 249-257页

作者： Srinivasu Gangi Setti r.N.rao Mechanical Engineering National Institute of Technology

In the present study, artificial neural network（ANN） approach was used to predict the stress-strain curve of near beta titanium alloy as a function of volume fractions of a and b. This approach is to develop the best possible combination or neural network（NN） to predict the stress-strain curve. In order to achieve this, three different NN architectures（feed-forward back-propagation network,cascade-forward back-propagation network, and layer recurrent network）, three different transfer functions（purelin, Log-Sigmoid, and Tan-Sigmoid）, number of hidden layers（1 and 2）, number of neurons in the hidden layer（s）,and different training algorithms were employed. ANN training modules, the load in terms of strain, and volume fraction of a are the inputs and the stress as an *** system was trained using the prepared training set（a,16 % a, 40 % a, and b stress-strain curves）. After training process, test data were used to check system accuracy. It is observed that feed-forward back-propagation network is the fastest, and Log-Sigmoid transfer function is giving the best results. Finally, layer recurrent NN with a single hidden layer consists of 11 neurons, and Log-Sigmoid transfer function using trainlm as training algorithm is giving good result, and average relative error is1.27 ± 1.45 %. In two hidden layers, layer recurrent NN consists of 7 neurons in each hidden layer with trainrp as the training algorithm having the transfer function of LogSigmoid which gives better results. As a result, the NN is founded successful for the prediction of stress-strain curve of near b titanium alloy.

关键词： Artificial neural network (ANN) Stressstrain curve Titanium alloys

Multimodal Biometric Score Fusion Using Gaussian Mixture Model and Monte Carlo Method

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Journal of Computer Science & Technology 2010年第4期25卷 771-782页

作者： r raghavendra rao Ashok G Hemantha Kumar Department of Studies in Computer Science University of Mysore Department of E&C Channabasaveshwara Institute of Technology

Multimodal biometric fusion is gaining more attention among researchers in recent days. As multimodal biometric system consolidates the information from multiple biometric sources, the effective fusion of information obtained at score level is a challenging task. In this paper, we propose a framework for optimal fusion of match scores based on Gaussian Mixture Mode] （GMM） and Monte Carlo sampling based hypothesis testing. The proposed fusion approach has the ability to handle： 1） small size of match scores as is more commonly encountered in biometric fusion, and 2） arbitrary distribution of match scores which is more pronounced when discrete scores and multimodal features are present. The proposed fusion scheme is compared with well established schemes such as Likelihood ratio （Lr） method and weighted SUM rule. Extensive experiments carried out on five different multimodal biometric databases indicate that the proposed fusion scheme achieves higher performance as compared with other contemporary state of art fusion techniques.

关键词： multimodal biometric system match score level fusion Gaussian mixture model Monte Carlo method.