Grinding, the commonly used final finishing process across various industries for preparation of surfaces, uses an abrasive cutting wheel. Surface finish is the most commonly used index of final ...product quality in terms of aesthetics, corrosion resistance and others. The final surface finish of the grounded components depends on the cutting conditions of the grinding wheel and the machining parameters. Grinding wheel loading and wheel wear are the significant factors that determine the cutting conditions of the grinding wheel. Grinding wheel dressing is usually carried out to restore the original cutting conditions of the wheel. Speed, feed and depth of cut are the various machining parameters that affect the final surface finish. This paper aims to develop a predictive as well as optimization model by integrating Artificial Neural Network (ANN) with Genetic Algorithm (GA). Experiments were conducted on cylindrical grinding machine with Silicon Carbide grinding wheel. Speed, feed and depth of cut were selected as the three machining parameters with three different levels. Multilayer Normal Feed Forward ANN model of type 3-5-1 was considered for the prediction of surface roughness. Predicted values using the ANN model showed good agreement with the experimental values of surface roughness. Using ANN model alone could have the drawback that local minima based on initial parameters/training can be mistaken for the global optimum. Integrating Genetic Algorithm (GA) with ANN model overcomes this to a great extent. Such a hybrid technique can result in global optimal point of the machining parameters thereby leading to minimum surface roughness. The experimental results show the feasibility of the proposed method in the predictive modeling and optimization of grinding parameters.
Medial swivel variant of talonavicular dislocation is rare. Usually, it is caused by high velocity trauma. They are relatively easier to reduce and are associated with fewer complications than pure ...dorsal dislocations and sub talar dislocations. We report a case of medial swivel dislocation of talonavicular caused by a low energy trauma, its management and one year follow up result.
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•This study is the first step towards the creation of a metabolomic map of calcified human aortic valves.•The study highlights an independent association of LysoPA with CAVS ...severity.•The study demonstrates that LysoPA levels are associated with faster CAVS progression rate.
This study outlines the first step toward creating the metabolite atlas of human calcified aortic valves by identifying the expression of metabolites and metabolic pathways involved at various stages of calcific aortic valve stenosis progression. Untargeted analysis identified 72 metabolites and lipids that were significantly altered (p < 0.01) across different stages of disease progression. Of these metabolites and lipids, the levels of lysophosphatidic acid were shown to correlate with faster hemodynamic progression and could select patients at risk for faster progression rate.
Increasing reports of successful and safe application of bone marrow derived mesenchymal stem cells (BM-MSCs) for cell therapy are pouring in from numerous studies. However poor survival of ...transplanted cells in the recipient has impaired the benefits of BM-MSCs based therapies. Therefore cell product preparation procedures pertaining to MSC therapy need to be optimized to improve the survival of transplanted cells. One of the important ex vivo procedures in the preparation of cells for therapy is passaging of BM-MSCs to ensure a suitable number of cells for transplantation, which may affect the turnover of proteins involved in regulation of cell survival and (or) death pathways. In the current study, we investigated the effect of an increase in passage number of BM-MSCs in cell culture on the intracellular protein turnover (protein synthesis, processing, and degradation machinery). We performed proteomic analysis of BM-MSCs at different passages. There was no significant difference observed in the ribosomal, protein processing, and proteasomal pathways related proteins in BM-MSCs with an increase in passage number from P3 to P7. Therefore, expansion of MSCs in the cell culture in clinically relevant passages (Passage 3-7) does not affect the quality of MSCs in terms of intracellular protein synthesis and turnover.
SWISH Oliver, Nuria; Smith, Greg; Thakkar, Chintan ...
International Conference on Intelligent User Interfaces: Proceedings of the 11th international conference on Intelligent user interfaces; 29 Jan.-01 Feb. 2006,
01/2006
Conference Proceeding
Information workers are often involved in multiple tasks and activities that they must perform in parallel or in rapid succession. In consequence, task management itself becomes yet another task that ...information workers need to perform in order to get the rest of their work done. Recognition of this problem has led to research on task management systems, which can help by allowing fast task switching, fast task resumption, and automatic task identification. In this paper we focus on the latter: we tackle the problem of automatically detecting the tasks that the user is involved in, by identifying which of the windows on the user's desktop are related to each other. The underlying assumption is that windows that belong to the same task share some common properties with one another that we can detect from data. We will refer to this problem as the task assignment problem.To address this problem, we have built a prototype named Swish that: (1) constantly monitors users' desktop activities using a stream of windows events; (2) logs and processes this raw event stream, and (3) implements two criteria of window "relatedness", namely the semantic similarity of their titles, and the temporal closeness in their access patterns.In addition to describing the Swish prototype in detail, we validate it with 4 hours of user data, obtaining task classification accuracies of about 70%. We also discuss our plans on including Swish in a number of intelligent user interfaces and future lines of research.
Even simple observation of stock price graphs can reveal dominant patterns. In our work, we will refer to such re-occurring, dominant patterns as “coherent structures”, a term borrowed from the ...theory of turbulence in fluid dynamics. Stock price performance exhibits coherent structures, which by definition make it non-random, although a price-versus-time graph might seem totally chaotic to the naked eye. A novel low order modeling technique for systems that are seemingly random has been developed. Though stock market data is used for the formulation and verification of the technique, its application in diverse fields is verified. The dissertation discusses some of the salient features of the novel technique along with a dynamic system analogy. The technique reduces many of the significant limitations associated with traditional methods like Fourier analysis and digital filters. Application of the technique to a nonlinear dynamical system and meteorological data are presented as well as the primary application on stock market securities.
Increasing reports of successful and safe application of bone marrow derived mesenchymal stem cells (BM-MSCs) for cell therapy are pouring in from numerous studies. However poor survival of ...transplanted cells in the recipient has impaired the benefits of BM-MSCs based therapies. Therefore cell product preparation procedures pertaining to MSC therapy need to be optimized to improve the survival of transplanted cells. One of the important ex vivo procedures in the preparation of cells for therapy is passaging of BM-MSCs to ensure a suitable number of cells for transplantation, which may affect the turnover of proteins involved in regulation of cell survival and (or) death pathways. In the current study, we investigated the effect of an increase in passage number of BM-MSCs in cell culture on the intracellular protein turnover (protein synthesis, processing, and degradation machinery). We performed proteomic analysis of BM-MSCs at different passages. There was no significant difference observed in the ribosomal, protein processing, and proteasomal pathways related proteins in BM-MSCs with an increase in passage number from P3 to P7. Therefore, expansion of MSCs in the cell culture in clinically relevant passages (Passage 3–7) does not affect the quality of MSCs in terms of intracellular protein synthesis and turnover.
This paper describes an attempt to design a knowledge-based large vocabulary speech recognition system. Our motivation is to replace features based on the short-term spectra, such as Mel-frequency ...cepstral coefficients (MFCC), by features that explicitly represent some of the distinctive features of the speech signal. However, rather than attempting to compute acoustic correlates of these distinctive features, we have engineered an approach where neural networks are trained to map short-term spectral features to the posterior probability of some distinctive features. These probabilities are then used as features in a large vocabulary tied-state HMM-based recognizer. Experimental results on the Wall Street Journal Task show that such a system, while not outperforming a MFCC-based system, generates very different error patterns. After combining the results of a base-line MFCC system with the results of several systems based on the proposed approach, we were able to obtain reductions in word error rates of 19% and 10 % on the 5K and 20K tasks respectively over our best MFCC-based systems.
Even simple observation of stock price graphs can reveal dominant patterns. In our work, we will refer to such re-occurring, dominant patterns as “coherent structures”, a term borrowed from the ...theory of turbulence in fluid dynamics. Stock price performance exhibits coherent structures, which by definition make it non-random, although a price-versus-time graph might seem totally chaotic to the naked eye.
A novel low-order modeling technique for systems that are seemingly random has been developed. Though stock market data is used for the formulation and verification of the technique, its application in diverse fields is verified. The dissertation discusses some of the salient features of the novel technique along with a dynamic system analogy. The technique reduces many of the significant limitations associated with traditional methods like Fourier analysis and digital filters. Application of the technique to a nonlinear dynamical system and meteorological data are presented as well as the primary application on stock market securities.
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