Building brand awareness and a positiveimage in po- litical PR is essential for building brand equity. It includes use of various renowned channels of promotion such as advertising, word of mouth, publicity, social media like blogs, sponsorships, launching events, etc. To create brand awareness in political PR, it is important to create reliable brand image, slogans and taglines. The brand message to be communicated should also be consistent. Strong brand awareness leads to high sales and high market share. Brand awareness can be regarded as a means through which consumers become acquainted and familiar with a brand and recognize that brand. The concept of Brand aware- ness should be well employed by Political PR. To improve public relations approaches into political PR and employ awareness as a success factor for political competition, we suggest the following Matrix, invented by public relations practitioners and political marketing researchers: Pr.Dr. Kakhaber Djakeli and Tea Tshumburidze in 2011.
Now in Uzbekistan offers impeccable service and all the tourists left the warmest memories of your stay in the country. Rich historical and cultural heritage, centuries-old traditions of the Uzbek people, unique architectural monuments of ancient cities of Uzbekistan attract many tourists from abroad. Uzbekistan has many historical monuments in such cities as Bukhara, Khiva and Samarkand, which for many centuries were the capitals of powerful empires. Ethnic tourism provides an opportunity to immerse themselves in the lifestyle of Uzbekistan. From spring to autumn various ethnographic, culinary and craft fairs are held, where tens of thousands of spectators from all over the world gather to get acquainted with the cultural diversity of the Uzbek people. All this is inevitable for the formation of a positiveimage of Uzbekistan in the international arena, turning it into an attractive tourist center.
17. A clean smelling house creates a positiveimage in the buyer's mind. Be aware of any odour from cooking, cigarette smoke, pets etc. These may have adverse effects on potential buyers. Remember that some people are much more sensitive to odours than others. Smokers rarely notice the odour of cigarettes that ills their houses, and pet owners may be oblivious to objectionable dog or cat odours.
Suggests a positiveimage, Reinforces product concept, Communicates product benefit ,Says something about user, Avoids linguistic traps. The brand name is quite often used interchangeably within "brand", although it is more correctly used to specifically denote written or spoken linguistic elements of any product. In this context a "brand name" constitutes a type of trademark, if the brand name exclusively identifies the brand owner as the commercial source of products or services
Brand image is a set of beliefs, ideas, and impressions that a person has towards a brand . The reputation of the brand will affect the consumer’s view of a product, so the reputation of the brand must create a positiveimage in the mind of the consumers. According to Hawkins, Best, and Coney, brand image is a perception in the minds of consumers about the good impression of a brand . This good impression will be created if the brand has unique advantages, good reputation, popular and trustworthy. The brand image itself has the potential to influence consumers' perceptions and expectations about the goods and services and ultimately affects customer satisfaction. Some previous research results show that brand image has a significant influence on customer satisfaction .
Image is an invaluable entity for an organization or a company. According to Sutisna (2002: 332), there are five benefits from the positiveimage. First, the organizational image conveys shared expectations through external marketing campaign. The positiveimage on a product makes a company easier to communicate effectively and easier to understand through word of mouth communication. Second, the organizational image is considered as a filter that has a perception on the company's activities. Third, an image relates to a consumer's experience and perceived expectations. Fourth, image has a great effect on management or internal impact. And last, positive brand image can utilize a company to develop a product line againts the old product.
ments and the normalized bone tissue signal showed high inter- observer agreement. The mean value of the normalized bone tis- sue signal was higher in the diploic space than in the other skull layers. This result could reflect the characteristics of the tissue in the diploic space, which has a fat component in the marrow cav- ity; this factor results in a short T1 relaxation time in MR imaging and a decreased number of Hounsfield units on the CT image. These quantitative comparison results of the 2 imaging modalities imply that ZTE skull MR imaging could reproduce images close to the skull itself and suggest that ZTE skull MR imaging could be a valid alternative to CT for skull imaging in a variety of clinical situations. Furthermore, these results also support the findings of previous studies 9,20 that suggested possible technical applications
on nerve abnormalities than diffusion weighted image, including microstructural changes and fiber tractography. By contrast, mDIXON only provides information on the structural changes of nerves. The combination of T2-weighted image-high resolution with mDIXON or diffusion weighted image provided better results for the detection of brachial plexus injuries than mDIXON or diffusion weighted image alone because a combination can detect lesions in both pre- and postganglionic injuries. Given that the combination of T2-weighted image-high resolution and mDIXON had the highest diagnostic yield, we recommend it be used as the diagnostic tool for brachial plexus injuries in preference to conventional myelography.
I used a mixed model design, where self-reported hunger was the continuous between- subjects factor and context (negative, high arousal vs. neutral) was the within-subjects factor. After consenting to participate in the study, participants were oriented to the computer-based Affect Misattribution Procedure via Qualtrics. Participants were instructed that they would see affective images before each Chinese pictograph, and that they should try their best to ignore the affective image and instead focus on their intuitive judgment of the pictograph. All participants completed a practice block of eight trials with four neutral and four negative, high arousal photos. For each trial, participants saw a fixation cross on the center of the screen for 125 ms, then a neutral or negative photo for 75 ms, followed by a grey noise mask for 125 ms and the randomly-assigned pictograph for 100 ms. Participants then saw another fixation cross prior to rating how positive vs. negative they found the pictograph to be. All ratings were provided on a likert scale where 1= Extremely Positive, 4= Neither Positive nor Negative, and 7= Extremely Negative.
particularly in El Salvador, Brazil, Chile and Mexico. Brazilians and Mexicans have become notably more positive toward the U.S. in just the past year. Even in Bolivia and Venezuela, two countries where national leaders have regularly engaged in anti-American rhetoric over the past few years, the U.S. on balance gets positive marks, although in both countries ratings are higher among people on the political right than among those on the left. The exception in Latin America is Argentina, where just 41% express a favorable view, although this is still much more positive than the 16% registered in 2007.
After extraction and purification of genomic DNA, it was run under 0.8% gel electrophoresis to check the DNA was extracted or not (Figure 1). On observation it was found that the genomic DNA extraction was positive and it was sufficient to proceed for amplification. Only at two sites AD7, AD8 and AD10 the result was not positive which was further extracted by using the same method and finally it had also given the positive results.
Abstract: Face detection is a biometric technology based on human face features for identity authentication. With the development of e-commerce and other applications, face recognition has become the most potential means of biometric authentication. Classical face recognition is based on statistical methods, but the accuracy of this method is not high. In this paper, a face detection method based on the sliding window and support vector machine is proposed. Firstly, the image is divided into blocks, and the HOG features of the target image are extracted. Then the support vector machine model is trained through the data sets of human face and non-face. The support vector machine model can detect whether the target area belongs to the face area or not. Finally, the whole face area is detected by the sliding window model. Experiments verify the effectiveness of the proposed method.
some risk (e.g., the unhealthy association with alcohol or potential for high-profile scandal; Westberg, Stavros, & Wilson, 2008). Spillover occurs when two brands share strong linkages that, when activated simultaneously, prompt inferences in relation to the innocent partner (Roehm & Tybout, 2006) and con- sumer judgments (Funk & Pritchard, 2006). As partner actions cannot be controlled, poor partner choice or negative partner publicity may result in negative spillover and the transfer of undesirable associations, with the potential to damage brand equity (Washburn, Till, & Priluck, 2000). For example, Doyle, Pentecost, and Funk, (2014) found that negative publicity about a celebrity endorser resulted in negative attitudes among consumers toward the sponsor and event brand. While research has investigated the influence of sport spon- sorship on the sponsoring brand, relatively little is known about the reciprocal influence of the brand alliance on attitudes toward the sponsored party. Simonin and Ruth (1998) reported that a more favor- able attitude toward the alliance resulted in a more positive attitude toward both partners. Baumgarth (2004) replicated these results but also found that the brand alliance could potentially produce asymmetrical effects, whereby attitude became more positive toward one partner but more negative toward the other.
For tiny medical devices, measurement accuracy is extremely demanding, but because of light, as well as the lens distortion, the image edges will produce some distortion. If the device edge which near the image edge has a glitch, the glitch will have a shape distortion in the two images for mosaic, causing corner point lo- cation offset, thus affecting the accuracy of image mo- saic. For which we first using morphological dilation and erosion operation to preprocess the image, elimi- nating the false positive noise generated by image glitch, thus eliminating the inaccurate positioning of the corner points caused by noise, as well as the effect of the corner point location offset, greatly improved the splicing accuracy and detection accuracy.
Vinagre and Neves (2008) used three dimensions to measure consumer satisfaction. The first dimension is expectation. Expectation is the focus of satisfaction literature investigation. In this case, satisfaction happens when product or service performance exceeds or at least same with consumer expectation. The second dimension is emotion, which is the set of response commonly happens during consumer experience. Consumer satisfaction in a higher extent involves positive and negative emotion. The third dimension is involvement. In consumer psychology, involvement is a motivational construct that influences the set of consumer behavior. Although involvement is a complex construct, it is predicted that this can be seen when the service is congruent with service characteristic and consumer needs.
Aperio’s ScanScopes can scan slides automatically using “one-touch” operation. The ScanScopes provide a quality factor for each scan from 0 (worst) to 100 (best). Note that a poor quality factor can be caused by poor slide preparation, like dirt, but that the scan of the tissue still might be good—therefore the operator should not rely on the quality factor alone to determine the quality of a scan; he/she may want to use the quality factor as a triage tool to determine which slide he/she wants to review. Poor slide preparation leads to poor image quality which in some cases can be improved by manually scanning the slide; this allows the operator to select the tissue region to be scanned, position the “pre-scan” and position and manually focus the focus points.
Since the task of quantifying immunohistochemistry is time-consuming and prone to errors, with constrasting reports when compared to automated image analysis [8,10,11], the presented approach tries to propose an unorthodox way to quantification: instead of relying on expert and expensive personnel like pathologists, evalua- tion could be made by a less expensive, untrained crowd working on digital images and statistically aggregated.