The evolution of nanotechnology brings materials with novel performance and during last year’s much attempt has been established to include nanoparticles especially nano-silica (NS) into the concrete to improve performance and develop concrete with enhanced characteristics. Generally, NS is incorporated into the self-compacting concrete (SCC) aiming to positively influence the fresh, mechanical, microstructure, and durability properties of the composite. The most important mechanical property for all types of concrete composites is compressive strength. Therefore, developing reliable models for predicting the compressive strength of SCC is crucial regarding saving time, energy, and cost-effectiveness. Moreover, it gives valuable information for scheduling the construction work and provides information about the correct time for removing the formwork. In this study, three different models including the linear relationship model (LR), nonlinear model (NLR), and multi-logistic model (MLR) were proposed to predict the compressive strength of SCC mixtures made with or without NS. In this regard, a comprehensive data set that consists of 450 samples were collected and analyzed to develop the models. In the modeling process, the most important variables affecting the compressive strength such as NS content, cement content, water to binder ratio, curing time from 1 to 180 days, superplasticizer content, fine aggregate content, and coarse aggregate content were considered as input variables. Various statistical assessments such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Scatter Index (SI), OBJ value, and the coefficient of determination (R2) were used to evaluate the performance of the proposed models. The results indicated that the MLR model performed better for forecasting the compression strength of SCC mixtures modified with NS compared to other models. The SI and OBJ values of the MLR model were 18.8% and 16.7% lower than the NLR model, indicating the superior performance of the MLR model. Moreover, the sensitivity analysis demonstrated that the curing time is the most affecting variable for forecasting the compressive strength of SCC modified with NS.
Experiments on a torsional oscillator containing a slab of liquid3He of thickness 105 µm and diameter 8.38 mm are described. Normal phase experiments confirm the theory of the oscillator dynamics but an apparent descrase in the measured value of T2 at lowT casts doubt on the existing slip theory. Measurements for the uniform texture for the A phase give values of s and 44. The s measurements suggest that the A-phase energy gap is enhanced by a factor 1.24 over the BCS value. Distortion of the uniform texture by a magnetic field perpendicular to the slab occurs at a threshold field slightly smaller than predicted. Measurements for fields at different angles to the slab enable accurate values to be deduced for the superfluid density anisotropy and two other viscosity coefficients. The remaining two viscosity coefficients are only poorly determined. Flow alignment of the orbital texture was achieved by increasing the oscillator amplitude. A different texture obtained on some occasions after warming from the B phase was investigated but is not understood. 相似文献
By splitting a large broadcast message into segments and broadcasting the segments in a pipelined fashion, pipelined broadcast can achieve high performance in many systems. In this paper, we investigate techniques for efficient pipelined broadcast on clusters connected by multiple Ethernet switches. Specifically, we develop algorithms for computing various contention-free broadcast trees that are suitable for pipelined broadcast on Ethernet switched clusters, extend the parametrized LogP model for predicting appropriate segment sizes for pipelined broadcast, show that the segment sizes computed based on the model yield high performance, and evaluate various pipelined broadcast schemes through experimentation on Ethernet switched clusters with various topologies. The results demonstrate that our techniques are practical and efficient for contemporary fast Ethernet and Giga-bit Ethernet clusters. 相似文献
A major problem in CAD/CAM integration lies in the difficulty in representing the component definition adequately for all applications. Features are considered as a main factor in the CAD and CAM link because various design, engineering and manufacturing data can be associated with a feature. However, tagging feature labels onto geometry does not guarantee the geometric correctness of the resultant feature; knowledge of the topology and analysis of the geometry is needed to correctly identify the validity of the resultant feature. This paper discusses a feature-based design system capable of representing 2.5D components in terms of manufacturing features such as holes, slots and pockets, which are associated with distinctive manufacturing processes. The system is capable of verifying all the defined features by comparing the definition of the resultant features against those of the applied features. Feature interactions are considered to investigate the effect of the interaction on the validity, accessibility and machinability of each feature. Individual features can be extracted from the product model, where all the information about the product is held, for analyses. Each volumetric feature corresponds to a solid that can be removed by one or more machining operations; as a consequence of applying volumetric features, surface features are generated. These surface features provide enough information to enable the validity and machinability of the individual features to be determined and to establish the possible routes in which the feature can be accessed, if any. The proposed approach has been explored in a rapid prototyping test bed consisting of product modelling environment coupled with a solid modeller. 相似文献
This paper presents a facile and economic development of dye‐sensitized solar cells using a nonprecious counter electrode made from ball‐milled tellurium‐doped graphene (Te‐Gr) and a natural sensitizer extracted from Calotropis gigantea leaves. The prepared materials were characterized using various techniques, such as Raman spectroscopy, X‐ray diffraction (XRD), atomic force microscopy (AFM), impedance spectroscopy, and scanning electron microscopy with built‐in energy‐dispersive X‐ray spectroscopy (SEM with EDS). The electrochemical activity of the produced counter electrodes and the impedance of the fabricated cells were examined and discussed to devise plans for future enhancement of cell performance. A clear pattern of improvement was found when using cost‐effective Te‐Gr relative to the costly platinum counter electrodes, especially when compared with cells employing another natural sensitizer. The results show approximately 51% enhancement over chlorophyll‐based cells made from spinach, where the added advantage in our approach is the utilization of an abundant plant extract with little nutritional appeal. 相似文献
Drug delivery systems that can control drug release profile to ensure a high therapeutic efficacy and reduced side effects are highly desired in pharmaceutical and biomedical fields. Microparticles are the most commonly used drug delivery systems, because they can be easily administrated to patients, and be engineered with different structures and functions for keeping drug stability, delivering drugs to a desired location, and releasing drugs with a predetermined rate in a well‐controlled manner. Microfluidic techniques show great power for controllable generation of highly monodisperse multiple emulsion droplets with unprecedented structural diversity. Microfluidics‐templated emulsions allow elaborately design and controllable generation of highly uniform microparticles with well‐controlled sizes, shapes, compositions, and structures, and integrated functions for controlled drug release. This review highlights recent progress on controllable microfluidic fabrication of monodisperse emulsion templates and the resultant polymeric microparticles with well‐tailored structures and functions for flexible encapsulation and controlled release of drugs. Especially, a comprehensive overview of the recent biomedical applications of these microparticles with diverse release mechanisms is provided. Finally, perspectives on further advancing the microfluidic techniques for fabricating functional microparticles from lab scale to industrial scale are discussed. 相似文献
The effect of partial replacement of copper by zinc in Tl2Ba2Ca2Cu3O10−δ superconductor phase is studied. Superconducting samples of the nominal composition Tl2Ba2Ca2Cu3−xZnxO10−δ with x ranging from 0 to 0.6 are prepared under normal pressure by a one step of solid-state reaction technique. The samples are characterized by using X-ray powder diffraction, scanning electron microscope (SEM) and EDX. The X-ray data indicate that the partial replacement of Cu2+ions by Zn2+ions does not influence the tetragonal structure of the samples, and the lattice parameters a and c vary according to the difference in the ionic radii of Cu and Zn. The superconducting parameters, such as superconducting transition temperature Tc, critical current density Jc and irreversibility field Bir are calculated from electrical resistivity and AC-magnetic susceptibility measurements. 相似文献
A brain tumor is a mass or growth of abnormal cells in the brain. In children and adults, brain tumor is considered one of the leading causes of death. There are several types of brain tumors, including benign (non-cancerous) and malignant (cancerous) tumors. Diagnosing brain tumors as early as possible is essential, as this can improve the chances of successful treatment and survival. Considering this problem, we bring forth a hybrid intelligent deep learning technique that uses several pre-trained models (Resnet50, Vgg16, Vgg19, U-Net) and their integration for computer-aided detection and localization systems in brain tumors. These pre-trained and integrated deep learning models have been used on the publicly available dataset from The Cancer Genome Atlas. The dataset consists of 120 patients. The pre-trained models have been used to classify tumor or no tumor images, while integrated models are applied to segment the tumor region correctly. We have evaluated their performance in terms of loss, accuracy, intersection over union, Jaccard distance, dice coefficient, and dice coefficient loss. From pre-trained models, the U-Net model achieves higher performance than other models by obtaining 95% accuracy. In contrast, U-Net with ResNet-50 outperforms all other models from integrated pre-trained models and correctly classified and segmented the tumor region. 相似文献
This research investigated leadership and effectiveness of teams operating in a high-velocity environment, specifically trauma resuscitation teams. On the basis of the literature and their own ethnographic work, the authors proposed and tested a contingency model in which the influence of leadership on team effectiveness during trauma resuscitation differs according to the situation. Results indicated that empowering leadership was more effective when trauma severity was low and when team experience was high. Directive leadership was more effective when trauma severity was high or when the team was inexperienced. Findings also suggested that an empowering leader provided more learning opportunities than did a directive leader. The major contribution of this article is the linkage of leadership to team effectiveness, as moderated by relatively specific situational contingencies. (PsycINFO Database Record (c) 2010 APA, all rights reserved) 相似文献
Isoflavones belong to a group of compounds known as flavanoids that share a basic structure consisting of two benzene rings linked through a heterocyclic pyrane C ring. Soybean provides the most abundant source of isoflavones, which have been linked to the prevention of several diseases, including cancer (prostate, colon, and breast cancer), hypercholesterolemia, cardiovascular disease, atherosclerosis, osteoporosis, and relief of menopausal symptoms in certain women. Currently, isoflavone use is targeted as a nutraceutical. In this article, we review the structural aspects and the effect of processing on the different forms of isoflavones in soy protein. We also discuss the impact of these changes on the health benefits of eating foods containing isoflavones. Isoflavones, as a class of phytoestrogens, are gaining a lot of interest in clinical nutrition. 相似文献