5,365 research outputs found
An examination of the verbal behaviour of intergroup discrimination
This thesis examined relationships between psychological flexibility, psychological inflexibility, prejudicial attitudes, and dehumanization across three cross-sectional studies with an additional proposed experimental study. Psychological flexibility refers to mindful attention to the present moment, willing acceptance of private experiences, and engaging in behaviours congruent with oneâs freely chosen values. Inflexibility, on the other hand, indicates a tendency to suppress unwanted thoughts and emotions, entanglement with oneâs thoughts, and rigid behavioural patterns. Study 1 found limited correlations between inflexibility and sexism, racism, homonegativity, and dehumanization. Study 2 demonstrated more consistent positive associations between inflexibility and prejudice. And Study 3 controlled for right-wing authoritarianism and social dominance orientation, finding inflexibility predicted hostile sexism and racism beyond these factors. While showing some relationships, particularly with sexism and racism, psychological inflexibility did not consistently correlate with varied prejudices across studies.
The proposed randomized controlled trial aims to evaluate an Acceptance and Commitment Therapy intervention to reduce sexism through enhanced psychological flexibility. Overall, findings provide mixed support for the utility of flexibility-based skills in addressing complex societal prejudices. Research should continue examining flexibility integrated with socio-cultural approaches to promote equity
Southern Adventist University Undergraduate Catalog 2023-2024
Southern Adventist University\u27s undergraduate catalog for the academic year 2023-2024.https://knowledge.e.southern.edu/undergrad_catalog/1123/thumbnail.jp
The influence of CEO leadership on organizational learning in internationalizing high-tech companies in China
This research explores how CEO leadership affects the learning process of internationalizing high-tech companies. There has been a growing recognition of the role of leadership in the international learning process. For example, scholars have discussed the influence of several factors, such as leadersâ cognition, decision-making style, and entrepreneurship, on international learning process. Moreover, CEO leadership has been treated as an important factor that can affect a companyâs organizational learning. However, very few studies have discussed the role of leadership in the organizational learning process of companiesâ internationalization. Based on a review of existing research gaps in the role of leadership in organizational and international learning literature, this research seeks to gain rich insights into how leadership influences organizational learning in high-tech companiesâ internationalizing in the Chinese context. This research focused on two common leadership styles in China, authoritarian leadership and empowering leadership. These two leadership styles can be explained through Chinese traditional philosophy and from the lens of power, authoritarian leadership and empowering leadership are deserved to be compared.
This research adopts a qualitative approach based on 8 case studies of Chinese high-tech internationalizing companies. Semi-structured interviews with the CEO and at least two senior managers were carried out in each case. This research contributes to international learning process literature. CEO leadership is proposed as a key factor that can influence each construct associated with the international learning process and cause different international learning processes. This research also contributes to both leadership and internationalization literature as it uses organizational learning as a bridge linking leadership and internationalization. Different leadership styles could cause different internationalization outcomes in performance and management perspectives due to different international learning processes. Moreover, CEO leadership could be changed during companiesâ internationalization process
La traduzione specializzata allâopera per una piccola impresa in espansione: la mia esperienza di internazionalizzazione in cinese di Bioretics© S.r.l.
Global markets are currently immersed in two all-encompassing and unstoppable processes: internationalization and globalization. While the former pushes companies to look beyond the borders of their country of origin to forge relationships with foreign trading partners, the latter fosters the standardization in all countries, by reducing spatiotemporal distances and breaking down geographical, political, economic and socio-cultural barriers. In recent decades, another domain has appeared to propel these unifying drives: Artificial Intelligence, together with its high technologies aiming to implement human cognitive abilities in machinery. The âLanguage Toolkit â Le lingue straniere al servizio dellâinternazionalizzazione dellâimpresaâ project, promoted by the Department of Interpreting and Translation (ForlĂŹ Campus) in collaboration with the Romagna Chamber of Commerce (ForlĂŹ-Cesena and Rimini), seeks to help Italian SMEs make their way into the global market. It is precisely within this project that this dissertation has been conceived. Indeed, its purpose is to present the translation and localization project from English into Chinese of a series of texts produced by Bioretics© S.r.l.: an investor deck, the company website and part of the installation and use manual of the Aliquis© framework software, its flagship product. This dissertation is structured as follows: Chapter 1 presents the project and the company in detail; Chapter 2 outlines the internationalization and globalization processes and the Artificial Intelligence market both in Italy and in China; Chapter 3 provides the theoretical foundations for every aspect related to Specialized Translation, including website localization; Chapter 4 describes the resources and tools used to perform the translations; Chapter 5 proposes an analysis of the source texts; Chapter 6 is a commentary on translation strategies and choices
Applying machine learning: a multi-role perspective
Machine (and deep) learning technologies are more and more present in several fields. It is undeniable that many aspects of our society are empowered by such technologies: web searches, content filtering on social networks, recommendations on e-commerce websites, mobile applications, etc., in addition to academic research. Moreover, mobile devices and internet sites, e.g., social networks, support the collection and sharing of information in real time. The pervasive deployment of the aforementioned technological instruments, both hardware and software, has led to the production of huge amounts of data. Such data has become more and more unmanageable, posing challenges to conventional computing platforms, and paving the way to the development and widespread use of the machine and deep learning. Nevertheless, machine learning is not only a technology. Given a task, machine learning is a way of proceeding (a way of thinking), and as such can be approached from different perspectives (points of view). This, in particular, will be the focus of this research. The entire work concentrates on machine learning, starting from different sources of data, e.g., signals and images, applied to different domains, e.g., Sport Science and Social History, and analyzed from different perspectives: from a non-data scientist point of view through tools and platforms; setting a problem stage from scratch; implementing an effective application for classification tasks; improving user interface experience through Data Visualization and eXtended Reality. In essence, not only in a quantitative task, not only in a scientific environment, and not only from a data-scientist perspective, machine (and deep) learning can do the difference
The Power of Patents: Leveraging Text Mining and Social Network Analysis to Forecast IoT Trends
Technology has become an indispensable competitive tool as science and
technology have progressed throughout history. Organizations can compete on an
equal footing by implementing technology appropriately. Technology trends or
technology lifecycles begin during the initiation phase. Finally, it reaches
saturation after entering the maturity phase. As technology reaches saturation,
it will be removed or replaced by another. This makes investing in technologies
during this phase unjustifiable. Technology forecasting is a critical tool for
research and development to determine the future direction of technology. Based
on registered patents, this study examined the trends of IOT technologies. A
total of 3697 patents related to the Internet of Things from the last six years
of patenting have been gathered using lens.org for this purpose. The main
people and companies were identified through the creation of the IOT patent
registration cooperation network, and the main groups active in patent
registration were identified by the community detection technique. The patents
were then divided into six technology categories: Safety and Security,
Information Services, Public Safety and Environment Monitoring, Collaborative
Aware Systems, Smart Homes/Buildings, and Smart Grid. And their technical
maturity was identified and examined using the Sigma Plot program. Based on the
findings, information services technologies are in the saturation stage, while
both smart homes/buildings, and smart grid technologies are in the saturation
stage. Three technologies, Safety and Security, Public Safety and Environment
Monitoring, and Collaborative Aware Systems are in the maturity stage
Noticing Patents
Patents take the form of public letters that the U.S. Patent and Trademark Office (USPTO) actively disseminates. Whether these documents sufficiently provide the public with notice of the technologies they describe, as well as the proprietary rights that they assert, has been subject to long-standing debate. Many commentators conclude that patents are often filed too early in the research and development cycle, are deliberately drafted in a vague or obtuse manner, or are simply too numerous. As a result, identifying the relevant patent landscape is not just difficult for technology implementers, but possibly undesirable as a matter of innovation policy. Yet prior scholarship has seldom acknowledged current statutory mechanisms to improve the notice function of patents after they issue. This Article endeavors to fill that gap.
Congress has long encouraged intellectual property rights holders to identify their patents on the products they sell. Patent marking has traditionally occurred on physical products or their packaging, although it has been recently extended to Internet-based virtual marking. The marking statute stipulates that patent proprietors that fail to mark face severe remedial restrictions when challenging infringers. Congress has assigned the Food & Drug Administration (FDA) a part in providing patent notice as well. In keeping with federal legislation, the agency maintains two publications, commonly known as the Orange and Purple Books, that act as a patent clearinghouse for approved drugs and licensed biologics.
The role of a patent within the marketplace provides perhaps the most valuable form of notice that that instrument may offer. Yet the marking statute and FDA publications suffer from some apparent flaws. In combination they project a failure to identify all patents that are relevant to the product, favor patent trolls, involve dubious practical workings, promote misleading advertising, and impose punitive sanctions in comparison to the notice requirements of peer intellectual property rights. For its part, the FDA has proven an untutored and unreliable patent publicist for the past four decades.
This Article offers specific suggestions to improve the notice functions of patents after they issue. It calls for the USPTO to develop and populate its own virtual marking database that correlates individual patents with the marketplace. It also encourages the FDA to take further steps to counter abuses of the Orange and Purple Books and to accelerate their patent notice functions. Finally, this Article takes broader lessons from this effort, offering pathways for policymakers to look beyond the patent instrument as they endeavor to improve the patent systemâs notice functions
A web-based platform promoting family communication and cascade genetic testing for families with hereditary breast and ovarian cancer (DIALOGUE study)
The overall aim of this dissertation is to develop an eHealth intervention to promote family communication and cascade genetic testing among families concerned with Hereditary Breast and Ovarian Cancer (HBOC) syndrome. Within this context an international, multi-centre scientific project entitled "DIALOGUE" was designed that aims to develop (Phase A), and test the feasibility (Phase B) of an intervention within various genetic clinics across Switzerland and South Korea. This dissertation describes only the Phase A, the adaptation of an intervention, a web-based platform designed for families with HBOC to share genetic test results, including usability testing in a sample from Switzerland.
Chapter 1 provides a general introduction to the current field of hereditary cancer and cascade genetic testing, including the current state of eHealth technologies in science. The chapter also includes a short introduction to the prototype developed in the U.S.âas well as a description of the DIALOGUE study. In addition, the chapter summarises the main conceptual models, i.e. the Ottawa Decision Support Framework (ODSF) and the Medical Research Council (MRC) framework. These models are commonly implemented in the development and evaluation of complex interventions. The rational of this dissertation is guided by all of these elements.
Chapter 2 provides a detailed description of the dissertationâs specific aims, including the three studies conducted. The articles presented in Chapter 3 describe the methodology and findings of the dissertation. Study I comprises a systematic literature review of previous studies, with a particular focus on HBOC and Lynch syndromes. The literature review identified and synthesised evidence from psychoeducational interventions designed to facilitate family communication of genetic testing results and/or cancer predisposition and to promote cascade genetic testing. A meta-analysis was also conducted to assess intervention efficacy in relation to these two research aims. Our findings highlight the need to develop new interventions and approaches to family communication and cascade testing for cancer susceptibility. Study II describes the state-of-the-art text mining techniques used to detect and classify valuable information from interviews with study participants concerning determinants of open intrafamilial communication regarding genetic cancer risk. This study had two major aims: 1) to quantify openness of communication about HBOC cancer risk, and 2) to examine the role of sentiment in predicting openness of communication. Our findings showed that the overall expressed sentiment was associated with the communication of genetic risk among HBOC families. This analysis identified additional factors that affect openness to communicate genetic risk. These were defined as âhigh-riskâ factors and integrated into the design and development of the intervention. Study III describes the development of the intervention, a web-based platform designed for families with HBOC to share genetic test results. The platform was developed in line with the quality criteria set by the MRC framework. Being web-based, the platform could be accessed via a laptop, smartphone or tablet. Usability testing was applied to evaluate the prototype intervention which received high ratings on a satisfaction scale. Chapter 4 synthesises and discusses the key findings of all the studies presented in the previous chapter, and addresses study limitations and implications for future research
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