Introduction. This paper analyses the cross-cultural Website design strategy of a division of a single multinational company, namely Honda Cars. Method. We conducted a content analysis of sixty-one ...Honda Cars Websites, each targeted at a different country. Analysis. We perform t-tests and compute Pearson correlations to verify and quantify the cultural convergence of the Honda Cars Websites. We use novel regression analyses to explain the deviations between the culture reflected in the Websites and the culture of the country the sites are targeted at. Results. We find that the sites of Honda Cars are by and large culturally congruent – for all the dimensions of national culture originally proposed by Hofstede and Hall. The templates that some regional offices of Honda Cars provided to their branches thus do not appear to have overly constrained local developers in creating a culturally sensitive site. Finally, the sites show a higher degree of localisation when the Internet penetration in the country is high and a lower localisation degree when the country has an extreme score on a specific cultural dimension. Conclusions. Our results suggest that the observed cultural congruence is partly deliberate and partly accidental.
Three experts from Health Education England’s professional support unit talk to Abi Rimmer about what you can do if you think you may have chosen the wrong specialty
Nonsynonymous mutations change the protein sequences and are frequently subjected to natural selection. The same goes for nonsense mutations that introduce pre-mature stop codons into CDSs (coding ...sequences). Synonymous mutations, however, are intuitively thought to be functionally silent and evolutionarily neutral. Now researchers know that the optimized synonymous codon usage is advantageous in the speedy mRNA translation process. With the advent of NGS technique, the explosion of NGS data generated from the tumor tissues help researchers identify driver mutations in cancer-related genes, but relatively less attention is paid to the SNP data in healthy human populations when studying cancer.
Here, we analyzed the publically available human SNPs. We classified these SNPs according to their functional and evolutionary categories. By simply dividing the human genes into cancer-related genes and other genes, we compared the features of nonsynonymous, synonymous and nonsense mutations in these two gene sets from multiple aspects.
We provided lines of evidence that the nonsynonymous, synonymous and nonsense mutations in cancer-related genes undergo stronger purifying selection when compared to the expected pattern in other genes. The lower nonsynonymous to synonymous ratio observed in cancer-related genes suggests the suppression of amino acid substitutions in these genes. The synonymous SNPs, after excluding those in splicing regions, exhibit preferred changes in codon usage and higher codon frequencies in cancer-related genes compared to other genes, indicating the constraint exerted on these mutations. Nonsense mutations are less frequent and located closer to stop codons in cancer-related genes than in other genes, which putatively minimize their deleterious effects.
Our study demonstrated the evolutionary constraint on mutations in CDS of cancer-related genes without the requirement of data from cancer tissues or patients. Our work provides novel perspectives on interpreting the constraint on mutations in cancer-related genes. We reveal extra constraint on synonymous mutations in cancer-related genes which is related to codon usage bias and is in addition to the splicing effect.
This study examined online communication on social networking web pages in a longitudinal sample of 92 youths (39 male, 53 female). Participants' social and behavioral adjustment was assessed when ...they were ages 13-14 years and again at ages 20-22 years. At ages 20-22 years, participants' social networking website use and indicators of friendship quality on their web pages were coded by observers. Results suggested that youths who had been better adjusted at ages 13-14 years were more likely to be using social networking web pages at ages 20-22 years, after statistically controlling for age, gender, ethnicity, and parental income. Overall, youths' patterns of peer relationships, friendship quality, and behavioral adjustment at ages 13-14 years and at ages 20-22 years predicted similar qualities of interaction and problem behavior on their social networking websites at ages 20-22 years. Findings are consistent with developmental theory asserting that youths display cross-situational continuity in their social behaviors and suggest that the conceptualization of continuity may be extended into the online domain.
## In Detail Mobile app and website design are two of of the most popular areas of user experience design. Axure RP 7 allows you to design and build mobile prototypes and deploy them to real devices ...for testing and stakeholder review. It also allows you to create an interactive HTML website wireframe or UI mockup without coding. Axure 7 has new features such as new widget events, page events, adaptive views, and so on, that give you more flexibility while building mobile prototypes. If you have experience with Axure but have never designed anything for mobile devices or responsive design, this book will get you started right away. This book contains working examples of how to complete some common mobile design tasks using Axure and focuses on creating rich, functional prototypes for mobiles, whether they are apps or websites. Using this practical, example-oriented guide, you will learn how Axure RP 7 can be used by user experience designers to create and deploy mobile prototypes on smartphones and tablets. You will also learn how Axure RP 7 can be used to create adaptive views for multi-device designs, sliding menus, mobile-friendly forms, drag and drop interactions, tool bars, and basic transitional animations common to mobile apps. You will get to know how to publish prototypes so that they can be tested or demonstrated on a real mobile device. ## Approach This book is a step-by-step tutorial which includes hands-on examples and downloadable Axure files to get you started with mobile prototyping immediately. You will learn how to develop an application from scratch, and will be guided through each and every step. ## Who this book is for If you are a mobile-centric developer/designer, or someone who would like to take their Axure prototyping skills to the next level and start designing and testing mobile prototypes, this book is ideal for you. You should be familiar with prototyping and Axure specifically, before you read this book.
Reddit, known as “the front page of the Internet,” has been one of the most widely visited Web sites since its inception in 2005. As a social networking site it is unique in that the personal ...relationships between its users are considered secondary to its content, which includes both original, user-generated content and links to outside sources. Although previous research has investigated other social networking platforms in depth, relatively little has been written on Reddit. The present research considers a variety of indicators, including text readability, emoticon usage, and domain linkage. It was found that the most popular communities on Reddit behave very differently from each other, in terms of language sophistication, sentiment, and topicality (as measured by top-level links to outside sources). The results can be used to inform future investigations of online discourse spaces, particularly those in the contemporary social media sphere.
Over the past few decades, scholars have paid increasing attention to the role of native speakerism in the field of TESOL. Several recent studies have exposed instances of native speakerism in TESOL ...recruitment discourses published through a variety of media, but none have focused specifically on professional websites advertising programs in Southeast Asia. In this article, the authors report findings from a critical discourse analysis of textual and visual features in 59 websites recruiting for specific language schools located in China, Japan, Korea, Taiwan, and Thailand. They find that the ideal candidate is overwhelmingly depicted as a young, White, enthusiastic native speaker of English from a stable list of inner-circle countries. Furthermore, they find that these sites place more emphasis on the opportunities to make money, travel, and experience adventure in exotic cultures that come with the TESOL jobs being advertised, rather than on the jobs themselves. The authors conclude by providing a discussion of their findings informed by work in cultural studies and critical race theory, and suggest ways in which readers can fight against the entrenchment of native speaker and White privilege in the field of TESOL.
This study examines a range of factors associated with future citation and altmetric counts to a paper. The factors include journal impact factor, individual collaboration, international ...collaboration, institution prestige, country prestige, research funding, readability, length, title length, number of cited references, field size, and field type and will be modeled in association with citation counts, Mendeley readers, Twitter posts, Facebook posts, blog posts, and news posts. The results demonstrate that eight factors are important for increased citation counts, seven different factors are important for increased Mendeley readers, eight factors are important for increased Twitter posts, three factors are important for increased Facebook posts, six factors are important for increased blog posts, and five factors are important for increased news posts. Journal impact factor and international collaboration are the two factors that significantly associate with increased citation counts and with all altmetric scores. Moreover, it seems that the factors driving Mendeley readership are similar to those driving citation counts. However, the altmetric events differ from each other in terms of a small number of factors; for instance, institution prestige and country prestige associate with increased Mendeley readers and blog and news posts, but it is an insignificant factor for Twitter and Facebook posts. The findings contribute to the continued development of theoretical models and methodological developments associated with capturing, interpreting, and understanding altmetric events.
Background In the era of the internet, individuals have increasingly accustomed themselves to gathering necessary information and expressing their opinions on public web-based platforms. The health ...care sector is no exception, as these comments, to a certain extent, influence people’s health care decisions. During the onset of the COVID-19 pandemic, how the medical experience of Chinese patients and their evaluations of hospitals have changed remains to be studied. Therefore, we plan to collect patient medical visit data from the internet to reflect the current status of medical relationships under specific circumstances. Objective This study aims to explore the differences in patient comments across various stages (during, before, and after) of the COVID-19 pandemic, as well as among different types of hospitals (children’s hospitals, maternity hospitals, and tumor hospitals). Additionally, by leveraging ChatGPT (OpenAI), the study categorizes the elements of negative hospital evaluations. An analysis is conducted on the acquired data, and potential solutions that could improve patient satisfaction are proposed. This study is intended to assist hospital managers in providing a better experience for patients who are seeking care amid an emergent public health crisis. Methods Selecting the top 50 comprehensive hospitals nationwide and the top specialized hospitals (children’s hospitals, tumor hospitals, and maternity hospitals), we collected patient reviews from these hospitals on the Dianping website. Using ChatGPT, we classified the content of negative reviews. Additionally, we conducted statistical analysis using SPSS (IBM Corp) to examine the scoring and composition of negative evaluations. Results A total of 30,317 pieces of effective comment information were collected from January 1, 2018, to August 15, 2023, including 7696 pieces of negative comment information. Manual inspection results indicated that ChatGPT had an accuracy rate of 92.05%. The F1-score was 0.914. The analysis of this data revealed a significant correlation between the comments and ratings received by hospitals during the pandemic. Overall, there was a significant increase in average comment scores during the outbreak (P<.001). Furthermore, there were notable differences in the composition of negative comments among different types of hospitals (P<.001). Children’s hospitals received sensitive feedback regarding waiting times and treatment effectiveness, while patients at maternity hospitals showed a greater concern for the attitude of health care providers. Patients at tumor hospitals expressed a desire for timely examinations and treatments, especially during the pandemic period. Conclusions The COVID-19 pandemic had some association with patient comment scores. There were variations in the scores and content of comments among different types of specialized hospitals. Using ChatGPT to analyze patient comment content represents an innovative approach for statistically assessing factors contributing to patient dissatisfaction. The findings of this study could provide valuable insights for hospital administrators to foster more harmonious physician-patient relationships and enhance hospital performance during public health emergencies.
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