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This study aims to propose a normative model to determine the potential of cultural tourism in the municipalities that comprise the region 6 of the State of Jalisco, territorially delimited in the South of Jalisco. Firstly, it is conducted an anlaysis to determine the demand for cultural tourism to determine the cultural tourist profile under the assumptions that tourists especially motivated by culture, tend to travel longer distances than most tourists. It discusses the motivations and satisfactions of cultural tourists to establish the potential market in accordance with the characteristics of the target market in the Southern region of Jalisco. Any operation of cultural tourism companies should make the strategic diagnosis, so that explains the use of SWOT analysis as a tool for strategic planning of cultural tourism enterprises. Finally, we propose the development strategies of cultural tourism in this region of Southern Jalisco.

Architecture begins with the definition of the project and a wish. In the first step we aim to create an embryo for the generation of the work. Like any chaotic system, architecture must gather vital information from the environment in which it intends to grow through negative feedback in order to survive, and with adaptability and flexibility, start to grow like a small bud while remaining flexible. So, in order to prepare the conditions of creation, we need to properly know the context. In addition, architecture is the child of its ground and is responsible elevate the soul of the location and promote it. Flexibility against the environment can guarantee the uniqueness of the design because the environmental conditions are never the same, therefore the work based on it would be non-repetitive. A designer who attempts to create independent form with no regard to the climate, topography and cultural context cannot benefit from this advantage. Studying and analyzing the setting information of the project is the most important stage of designing which, in a perfect design process, equals the time of the execution of the work.

Hair colour is on a high, accounting for major part of the sale of hair care products and spurring new launches. Hair colour today doesn’t necessarily cover strands of gray. A shade of bright burgundy or golden chocolate could well be a fashion statement and colouring hair is definitely a range among urban youth and account for 20 percent growth. The Indian cosmetics market is one segment where the traditional hair treatments sell as much as newer category hairstyling and hair care products. Traditional herbal powders and hair oils for hair conditioning share the same shell with high-end products. The traditional hair care and hair styling methods are changing, which means that buyers are now ready to accept newer product categories. Hence an attempt has been made to study the hair colouring user, their brand preference, whether male or female users more, source of awareness, base of hair colour.

The Large- Scale Computing and network systems consume more amount of power and computer components like Mother Board, Processor, RAM, Hard Disk, VGA (Video Graphics Adapter), AGP (Accelerated Graphics Port), Network ports, data centers and supercomputers. Most of the places like schools, colleges, and IT Industries people work with computer. Day by day the energy consumed by these computer peripherals all over the world is high. Trying to reduce these high energy consumption a study and survey techniques have been analyzed. This survey techniques and solutions will improve the energy efficiency in computing devices and network resources. This method discusses to evaluate the maximum power consumed by the resources and explains the techniques that operate at distributing systems, trying to allocate resource for scheduling, network management. This study aims about the art of energy efficiency in computing resources and network components.

HRD should help the organization articulate the purpose of the knowledge management and career development. Investing in a knowledge management initiative without a clear sense of purpose is like investing in an expensive camera that has far more capabilities than you need to take good pictures of family and friends. The research study is descriptive in nature and is concerned with describing the characteristics of respondents of Knowledge Management and Career Development. In this study, two stages of random sampling technique were used. Stratified random sampling technique and Simple random sampling technique was used to select the employees of selected companies. This study mainly focuses on impact of career development towards knowledge management in IT industries.

Identifying the occurrence of congestion in a Mobile Ad-hoc Network is a major task. The existing TCP congestion control techniques do not handle the unique properties of shared wireless multi-hop link. Frequent changes in the ad-hoc network topology poses great deal of problems for congestion control. There are several approaches proposed for detecting and overcoming the congestion in the mobile ad-hoc network. In this paper we try to bring out some of the congestion control techniques and its salient features.

The combo of coding with spatial assorted qualities opens up new measurements in wireless interchanges, and can offer successful answers for the difficulties confronted in acknowledging solid rapid connections. Use of Space-Time Block Coding (STBC) with Multiple-Input Multiple-Output (MIMO) set-up proves to be an efficient method for this task. In wireless environment there is no prior knowledge of the channel state information (CSI) and hence it is required to employ some estimation techniques to obtain an estimate of the channel. Channel estimation is thus an important step in receiver design. Multiple Input Multiple Output (MIMO) is a promising candidate for the upcoming generation communication networks. It has been proposed to develop wireless systems that offer both high capability and good performance. To accomplish high date rate and ful?ll the power, MIMO systems are equipped with High Power Ampli?er (HPA). Unfortunately, the nonlinearity of HPA has a crucial impact and affects the receiver’s performance. Due to the high bandwidth utilization efficiency, multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) techniques have become a major trend for modern communications. However, MIMO-OFDM techniques need exact synchronization and channel estimation methods to compensate the frequency offset and utilize the multiple antenna diversity.

Magnetic resonance Image (MRI) is a medical image method use in radiology to visualize internal body structures like tissues. MRI method provides high-quality contrast effect to visual tissues of brain and MRI contrast is enhancing appearance of tumors in brain. In this survey compared the CLIC, EM, AFCM, Bias Field Estimation, SFKFCM, MFCM and FLGMM methods for accurate brain segmentation in MRI images. CLIC method to evaluate metric tissue classification and estimate bias field minimizing energy, optimal bias field derived smoothness of CLIC method. It’s applied for fully automated applications. AFCM applied on corrupted images in reality accurate in classification and partial volume effect. MR data corrupted truth brightness variation in each component. AFCM implementation is faster than other methods one major problem in AFCM method is to look for clusters of the same shape, size and increased complexity. Bias corrected FCM method with spatial neighborhood regularization period and its time taking; lacks robustness to noise is main problem of the method. In GKFCM method with a spatial bias correlation can automatically learn parameters by prototype driven learning scheme and this method is effective more robust to noise. SFKFCM method for segmenting brain MRI images and correcting spurious variations, to improve the separability of observed data, fast clustering scheme improve speed up process and execution time is reduced improved clustering results. MFCM for adaptive segmentation and intensity correlation of MR images and automation available for the segmentation of MR images into tissues classes correcting interscan intensity inhomogenetics. MFCM leads to increased improvement in quality of 3D brain structures and visualization. GMM voxel intensities in each target region, its lack of taking spatial information and uncertainty data may produce poor segmentation result. To overcome problem in segmentation FGMM concept is proposed for uncertainty data and parameter quality improvement. The integration of the weighted GMM energy functions in the entire image and uses a truncated Gaussian kernel function to incorporate spatial constraints into local GMM employ the fuzzy membership function to balance each GMM segmentation process. FGMM reduced noise, low contrast, bias field and improved segmentation result compared with all other methods proposed by previous researches.

The Ab-initio and charge density analysis of Au and thiol substituted Dicyclopentyl-Cyclohexan (DCC) molecular nanowire, was carried out using high level Density Functional Theory (DFT) with the help of LANL2DZ basis set coupled with the Bader’s theory of atoms in molecules . All the studies were carried out in the presence of an applied electric field which is gradually increasing from 0.05–0.26VÅ?1. The effect of the applied electric field on the geometrical and the topological analysis of the molecular wire is thoroughly made and studies were made to charcterise the bonds, especially the terminal bonds, which shows ionic nature. The variation in the dipole moment as a consequence of the polarization caused by the applied EF is thoroughly studied. HOMO-LUMO analysis was carried out to determine the way the molecule interacts with other species which may initiates the conductivity. The I–V characteristics of the molecule have been studied for various applied fields for finding the conducting nature of the molecule-electrode-molecule system. The molecular electrostatic potential surface was plotted over the geometry of the molecule to elucidate the reactivity of the molecule.

The abnormal right coronary artery originating from the left coronary system is an extremely rare variation of isolated single coronary artery. It is often a benign entity and the patients remain asymptomatic. Nevertheless, it can lead to sudden death during exertion. The treatment of this coronary anomaly may be medical, percutaneous and/or surgical. We present here a right coronary artery originating from the proximal left anterior descending artery in the first case and from the left main coronary artery in the second case. Both patients were seen to have an acute coronary syndrome with multi-vessel coronary artery disease.