Previous research on gender in television bears out the importance of study. Historically, research on television programming has shown that male and female television “characters” are frequently typecast into specific gender driven roles. For example, Glascock (2001) examined demographics of gender roles from prime time shows, children’s programming, and the comparison of female and male characters within various sociological and economic classes, and concluded that while there have been improvements in the representation of females on television, women are still grossly underrepresented. In a similar vein, much early research examined gender in regards to the amount of screen time and number of lead characters for males versus females on television. Several studies utilized contentanalysis and found that that women have been grossly underrepresented as characters on television, through factors such as screen time and the amount of lead roles for females [Downs, 1981; Davis, 1990; Glascock, 2003; Lauzen & Dozier, 1999; Lauzen & Dozier, 2002; Lauzen, Dozier & Hicks, 2001; Lauzen, Dozier & Cleveland, 2006; McNeil, 1975; Signorielli & Bacue, 1999].
Abstract | This study assessed the content provided on national tourism websites of 28 European countries. Websites were evaluated for content presented based on 36 topics related to categories of destination/promotion (n = 14 topics), safety/security (n = 11 topics), local authority contacts (n = 3 topics), and health/healthcare (n = 8 topics). A contentanalysis was conducted for official tourism websites utilizing a content rubric containing 36 topics. The percent of topics represented on official websites ranged from 25.0% to 83.3%. Approximately 61% (n = 17) of countries reported information about 50% or more of the topics contained in the rubric. In terms of destination/promotion, all 28 official websites contained information about characteristics of main cities (100%), and each website provided recommendations to tourists regarding destinations to visit (100%), cultural attractions (100%), and natural attractions (100%). However, only 35.7% of websites contained information about the security status of the country or in specific regions/cities, 25% reported information about dangerous locations as related to criminality or terrorism, and 39.3% of websites provided recommendations about ways in which to avoid criminality or terrorism. Findings reveal highlights opportunities for improved efforts to meet the specific needs and behaviors of tourists visiting Europe.
In order to reduce the sample of videos and obtain more information, a concomitant reduction was applied as a result of the initial analysis process and data obtained from the videos (Lessard- Hébert, Goyette, Boutin, & Reis, 2008). Therefore, only the videos under the "education" category were selected in accordance with the aim and research questions of the study. A total sample of 46 videos categorized as “education” was defined from the 140 videos uploaded by the scholars. However, it was still considered too big a number of videos to proceed with the detailed contentanalysis within the limited time frame we had available for the study. To select a small sample of materials, the present study concentrated on the two most viewed videos from the total of 46 videos under the category "education" uploaded by each scholar. This selection was due to the high popularity of these videos, higher quality of the information presented and relation of the content to educational issues. The detailed analysis of the smaller sample allowed to study in more detail the “intention of the communicator” and thus speak from and “insider perspective” when analyzing results (Priest, 1996, pp. 111, 196). Accordingly, the final sample for the present study is composed of six videos in total, the two most viewed videos of each scholar’s YouTube channel, as presented below:
All data was processed using the software Microsoft Excel®, 2010 version. The analysis was performed using the Statistical Package for the Social Sciences® (SPSS), 16.0 version, resort- ing to a binomial test to determine the proportion of experts who indicate that each adequate item was not below 85%. For that, the significance level adopted was 5%, with p > 0.05, and the adequate item was above 85%. Consequently, the components that did not show these proportions were excluded from the final proposal of the ND Ineffective Health Management.
2. Every Web page has got tags that may contain information. Weights in the form of integers have been assigned to the tags of the page. If the content is found on the page (once or multiple times), the weight is to be multiplied by the number of occurrences in each tag and the total weight is added up to get the total page weight.
In Bio-Medical image processing domain, content- based analysis and Information retrieval of bio- images is very critical for disease diagnosis. Content-Based Image Analysis and Information Retrieval (CBIAIR) has become a significant part of information retrieval technology. One challenge in this area is that the ever-increasing number of bio-images acquired through the digital world makes the brute force searching almost impossible. Medical Image structural objects content and object identification plays significant role for image contentanalysis and information retrieval. There are basically three fundamental concepts for content-based bio-image retrieval, i.e. visual- feature extraction, multi-dimensional indexing, and retrieval system process. Each image has three contents such as: colour, texture and shape features. Colour and Texture both plays important image visual features used in Content-Based Image Retrieval to improve results. In this paper, we have presented an effective image retrieval system using features like texture, shape and color, called CBIAIR (Content-Based Image Analysis and Information Retrieval). Here, we have taken three different features such as texture, color and shape. Firstly, we have developed a new texture pattern feature for pixel based feature in CBIAIR system. Subsequently, we have used semantic color feature for color based feature and the shape based feature selection is done using the existing technique. For retrieving, these features are extracted from the query image and matched with the feature library using the feature weighted distance. After that, all feature vectors will be stored in the database using indexing procedure. Finally, the relevant images that have less matched distance than the predefined threshold value are retrieved from the image database after adapting the K-NN classifier.
Ki67 is a nuclear non-histone protein that is universally expressed in proliferating cells (including those in G1, S, G2 and M) but not quiescent (G0) cells and is often used as a bio- marker of cell proliferation rate in tumour biopsies [25–27]. The multiparametric cell cycle method described above was utilised to determine the fraction of cells in G0 by immunostain- ing for Ki67 expression (using a rabbit antibody and an AF647 labelled secondary antibody) in combination with DNA and EdU contentanalysis, and pHH3 (S10) expression levels (using a mouse antibody and an AF546 labelled secondary antibody). Example images of HT29 cells are shown in Fig 7A. From a plot of normalised DNA content versus log mean Ki67 intensity of HT29 cells grown in 10% or 0.2% FCS it was possible to identify the fraction of quiescent cells (Fig 7B). Plotting the log Ki67 mean allows better visualisation of the range of Ki67 intensities. The [Select Population] building block can therefore define the G0 population as Normalised DNA 0.7–1.4, Log EdU Sum 3.2–4.3, pHH3 (S10) Mean <300 and Ki67 Mean <200. Serum starvation of HT29 or U87MG induced a dramatic increase in the fraction of Ki67 cells in both cell lines (Fig 7C). In HT29 cells, serum starvation increased the G0 fraction from 7.4 to 46.5%. Likewise, serum starvation induced a large decrease in the fraction of cells actively undergoing DNA synthesis and mitosis in both cell lines.
Finally 218 codes were extracted. Each code highlighted that there was a word or phrase in the transcript that had signiicant meaning. Statements that were related to the phenomenon of patient centeredness were collected and categorized. Therefore, four major categories and 20 subcategories were made. Contentanalysis method was used to analyze the data. In order to rigor the data, we used respondent validity, member check, purposive sampling and researcher triangulation already mentioned.
Although our purpose was conceptual, we used data collected through a contentanalysis of published material, thus warranting a comment on some prima facie data limitations. These limitations warrant some caution in interpretation. First, it is arguable that the keywords better capture the “cross-national” comparative environment rather than the “international” environment per se, as we noted. For IB research, national environments and how they compare to one another are particularly relevant, and may be a large part of what we commonly refer to as “international”. Second, our list of keywords is certainly extensive, but not exhaustive, as an exhaustive list would be impossible. We are also aware that the authors may resort to the use of synonyms for stylistic or aesthetic motives (WEBER 1990). For example, other vocabulary such as industrial strategy, obsolescing bargain, state power, public policy, political hazards, and so forth, could be added as keywords to capture ‘political risk’. Also not exhaustive is our list of possible environment dimensions. Other non-core dimensions could be included to capture the institutional environment and aspects related to the characteristics of the human, labor and of the financial markets, demographic characteristics, geography, and so forth. To some extent, this questions whether we have a concise and yet exhaustive taxonomy that encompasses a complete definition of what the international business environment really is. With these limitations, perhaps the inclusion of the IBE may be under-represented in our researchers may view the added complexity of the IBE as
If we want to combine these, we can see that the difference of statistical analysis and explorative analysis is not highly significant and these could be merged, whereas it is important to have separate category for plain descriptive statistics. In qualitative research we can use a matching that interpretive classification (i.e., contentanalysis) and such qualitative methods, which have a clearly described analysis process are summarized as qualitative enhanced, whereas those papers which claim to have analysed qualitative data but do not give any clear enough process, are qualitative simple. However, such a distinction is not wholly clear, and borderline cases needs to be discussed.
The preceding studies all involved cases of quantitative contentanalysis. Written materials always lend themselves to some form of quantitative analysis with fixed groupings. However, when rigid categories such as word counts are automatically imposed on a writing, the outcome will be a “boring” and tortured picture that put the writings in some kind of order while destroying their authors. This was one thing that I consciously tried to avoid. There were 106 notes. I approached them in some phenomenological mode similar to a reading of clinical process notes. My aim was to read between the lines, decode, decipher, and interpret while remaining faithful to the content and structure of the notes. I began this task trying to identify the author, the audience, the message, and the mode of expression in a note. I then tried to see what I could find in and about a note. Notes as texts are open systems that yield many different readings. I found myself making a distinction between the communication of content and communication of relationship. That is, I was looking for what was being communicated and what was being communicated about the communication, i.e., metacommunication. I looked also for themes, patterns, feeling states, self-object modes of encounter, forms of self-object representations, and modes of final engagement or disengagement with the external world. I was cognizant of the following:
In this study, pulp and kernel of fruits from six Arecaceae species were subjected to proximate analysis, fatty acid composition and total carotenoid contentanalysis. The species with the highest carbohydrate, lipid and protein values were Ptychosperma macarthurii (70.1 g/100 g in the kernel), Syagrus cearensis (40.6 g/100 g in the kernel), and S. coronata (20.6 g/100 g in the pulp). The ash content ranged from 0.61 to 7.51 g/100 g. Lauric, palmitic, and oleic acids were the major fatty acids identified. The total carotenoid contents and retinol activity equivalents were highest in the Pinanga kuhlii (180.3 µg/g) and Acrocomia intumescens (138.0 µg/g) pulp oils. Retinol activity equivalents varied between the investigated species (456 to 1515 μg RAE/100 g). Native species such as A. intumescens, S. coronata, and S. cearensis are good sources of fresh food for the underserved populations that inhabit poorly developed areas such as the semi-arid region of Brazil. P. macarthurii, an exotic species, is an excellent source of ash and carotenoids, demonstrating its potential both as a food source and as bioactive compounds. Pulp and kernel of A. intumescens, could be a good alternative feedstock for soap and biodiesel production, respectively.
As in data statistical analysis, as in the contentanalysis, it was evident that as much the thera- peutic strategies reached the patient’s areas(s) of interest in therapy, better was his/her verbal language/linguistic intelligence performance, focus of the Language, Speech and Hearing intervention. Therefore, in both analyses, the same results were found, what makes the research more conceivable. statistically signiicant, as it is presented in Table
KOBAYASHI, K.; SALAM, M.U. Comparing simulated and measured values using mean squared deviation and its components. Agronomy Journal, v.92, n.2, p.345-352, 2000. Available from: <https://www.agronomy.org/publications/aj/abstracts/92/2/345>. Accessed: Apr. 22, 2015. doi: 10.2134/agronj2000.922345x. LAMBE, N.R. et al. Predicting intramuscular fat content of lamb loin fillets using CT scanning. In: DAUMAS, G. (Ed.) FARM ANIMAL IMAGING CONGRESS, 2010, Rennes, France. Proceedings… Rennes: IFIP - The French Pork and Pig Institute, 2010. p.9-10. Available from: <https:// www.researchgate.net/publication/264890331_Predicting_ intramuscular_fat_content_of_lamb_loin_fillets_using_CT_ scanning>. Accessed: Apr. 22, 2015.
The results given in tables 1, 2 and 3 reveal that spatial variations of OM and CC are significantly related to variations of SWC and AS across the measured transect. Because these state-space equations are empirical, we only know that the spatial variations of the various sets of observations are related to each other, but we still have to identify why they are related. In the future we shall learn that physical or chemical laws can be incorporated into state-space equations allowing for a more judicious selection of adequate variables as input information, and providing a more realistic explanation of the local and regional spatial and temporal processes occurring in a farmer’s field and across the landscape. It is shown that the state- space analysis under field conditions is able to account for the underlying processes between several variables in each and every local neighborhood within a field. Using this analysis, it is possible to identify a variable that relates to the local behavior of several other variables and stochastically quantify that relationship accounting for both measurement and model errors. The analysis presented here relates soil properties at sites i to neighbors at sites i-1 and is a powerful tool for precision agriculture, of potential importance to farmers since it opens the possibility to examine physical and chemical properties that affect the crop yield within heterogeneous fields. Such an examination gives them specific ideas about how to better farm management, and consequently increase crop production and simultaneously improve the quality of the local environment.
process and integrate the first version of SKCAPS. )n empiric terms the intern coherence and the reliability of the instrument were tested in students. Results: The exploratory factorial analysis carried items in factors that explain % of the total variance of the answers of the subjects and that confirmed the proposed dimensions. The dimension comfort became separated in comfort and discomfort. The SKCAPS presented good reliability in terms of intern consistence alpha . . Finally, the instrument was administered to Physiotherapy students for evaluation of clarity following the exclusion of two items that resulted in averages below . . Conclusions: With the aim of improve the teaching/learning process, we propose the SKCAPS as the first worth and reliable instrument to evaluate the knowledge, the comfort, the discomfort and the atti- tudes regard of human sexuality among Physiotherapy students.
Fresh matter (FM), dry matter (DM), the ratio of fresh and dry matter (RFDM), the relative water content (RWC) and the relative matter content (RMC) of explants were evaluated at 60 days of in vitro cultivation (Table 2). Visual analysis was used to identify changes in the pattern of morphogenetic development and coloring (deficiency or toxicity) of the explants. The dry matter per explant was determined from the weighing of the samples dried in an oven at 60°C until a constant weight was attained. The fresh and dry matter per explant were determined using an analytical balance (0.001 g).
Contrary to the formulation proposed by Barbosa et al. (2006) in his developmental work for a souari Bouillon cube, no starch or soy protein isolate was employed here as supporting ingredients to prepare the souari cube. The intrinsic characteristic of souari flour, with a moisture content of 9.8%, was sufficient for modelling the cubes without any other adjuvant. Of the preliminary formulations tested, one was adopted for the development of three formulations (Table 3) with different quantities of souari flour and fixed quantities of salt, garlic, vegetable fat, glutamate, saffron and dehydrated parsley. These formulations presented a suitable dough consistency and a characteristic flavour and colour. The statistical analysis of the data obtained from the sensory evaluation of the preselected formulations is shown in Table 4. The third formulation differed significantly (p < 0.05) from the second with respect to the intensity of the yellow colour shown by the seasoned rice, and it differed from the first formulation with regard to the characteristic flavour of the fruit. The third formulation contained the highest concentration of souari flour (80%), a fact that justifies the more intensely yellow colour and more striking fruit flavour when compared to the other formulations. As for the other features – brightness, aroma, sweetness, bitterness, and sour and salty tastes – there was no statistical difference at the p level of 0.05.