Fr. Philip LeMasters, Dean of the School of Social Sciences and Religion at McMurry University, tries to account for why homosexuality has become the defining issue of our time, arguing that it was the civil rights movement and the sexual revolution that has turned us all into political hedonists.

Preaching from the first chapter of 1 Corinthians, Fr. Pat discusses what is attractive in the Church, what distracts us from Christ, and the importance of resistance if one is to make progress.

Faith needs to be something we put into action. A wonderful example of this is the life and person of Dr Martin Luther King, Jr. The Christian Faith teaches the equality of all people—and Dr King acted on that belief.

Dr. Philip Mamalakis and Andrew Williams, the creators and facilitators of “Finding the freedom to live in the image of God,” a new therapeutic program based on Orthodox principles for sexual addictions and sex-related issues.

Attention Interest Desire Action (AIDA) is a copy formula that uses features and benefits to move prospects through the customer journey.

The post Attention Interest Desire Action: Use this to get, and keep, people reading appeared first on Coaching and training to scale your copywriting business, plus programs for new copywriters, startups, and marketers.

We know that clarity cures busywork. We also know that action brings clarity. When you’re stuck and lacking clarity, take action and just get started. But don’t get lost doing busywork disguised as procrastination.

How many priorities do you have in your business and life right now? If you’re struggling to gain traction, perhaps its your lack of focus that’s causing your lack of growth.

Health Minister Mike Nesbitt said he would not be able to match pay deals for healthcare staff in other parts of UK.

Treasury secretary speaks out to reassure the markets after a rise in the cost of government borrowing.

The abandoned vehicle is now listed as a "historical landmark" - with a near perfect rating.

Hartlepool Borough Council is told Intro Bar started operating despite no planning permission.

Cash-strapped Slough Borough Council says it is facing an "unprecedented magnitude" of cuts.

The Broads Authority wants to tighten rules to allow it to dispose of boats deemed unserviceable.

‘Michiganders should know when and what their governor is working on’

This work describes a methodology that supports the design and implementation of software modules, which represent the individual and collaborative three-dimensional interaction process phases. The presented methodology integrates three modeling approaches: Petri Nets, a collaborative manipulation model based on the combination of single user interaction techniques taxonomy, and object-oriented programming concepts. The combination of these elements allows for the description of interaction tasks, the sequence of interaction processes being controlled by Petri Nets with the codes generated automatically. By the integration of these approaches, the present work addresses not only the entire development cycle of both individual and collaborative three-dimensional interaction, but also the reuse of developed interaction blocks in new virtual environment projects.

RDF data can be analyzed with various query languages such as SPARQL. However, due to their nature these query languages do not support fuzzy queries that would allow us to extract a broad range of additional information. In this article we present a new method that transforms the information presented by subject-relationobject relations within RDF data into Activation Patterns. These patterns represent a common model that is the basis for a number of sophisticated analysis methods such as semantic relation analysis, semantic search queries, unsupervised clustering, supervised learning or anomaly detection. In this article, we explain the Activation Patterns concept and apply it to an RDF representation of the well known CIA World Factbook.

Transactions on Data Privacy, Volume 12 Issue 2 (2019) has been published.

Transactions on Data Privacy, Volume 12 Issue 3 (2019) has been published.

Transactions on Data Privacy, Volume 13 Issue 1 (2020) has been published.

Transactions on Data Privacy, Volume 13 Issue 2 (2020) has been published.

Transactions on Data Privacy, Volume 13 Issue 3 (2020) has been published.

Transactions on Data Privacy, Volume 14 Issue 1 (2021) has been published.

Transactions on Data Privacy, Volume 14 Issue 2 (2021) has been published.

Transactions on Data Privacy, Volume 14 Issue 3 (2021) has been published.

Transactions on Data Privacy, Volume 15 Issue 1 (2022) has been published.

Transactions on Data Privacy, Volume 15 Issue 2 (2022) has been published.

Transactions on Data Privacy, Volume 15 Issue 3 (2022) has been published.

Transactions on Data Privacy, Volume 16 Issue 1 (2023) has been published.

Transactions on Data Privacy, Volume 16 Issue 3 (2023) has been published.

Transactions on Data Privacy, Volume 17 Issue 1 (2024) has been published.

Transactions on Data Privacy, Volume 17 Issue 2 (2024) has been published.

Transactions on Data Privacy, Volume 17 Issue 3 (2024) has been published.

Physical and social aspects each make up a separate part of servicescape. Together, these make up the servicescape. Although previous research has frequently investigated these aspects separately, the purpose of this study is to simultaneously find out the impact of both aspects within the casual dining restaurants' context. In total, 462 customers in Delhi were polled for this study, and structural equation modelling was used to analyse the data. According to the results, both the social and physical parts of the servicescape have the ability to affect how satisfied customers are, which in turn can affect how they behave in the future.

Action recognition plays a vital role in analysing human body behaviour and has significant implications for research and education. However, traditional recognition methods often suffer from issues such as inaccurate time and spatial feature vectors. Therefore, this study addresses the problem of inaccurate recognition of aerobic gymnastics action image data and proposes a visualised three-dimensional convolutional neural network algorithm-based action recognition model. This model incorporates unsupervised visualisation methods into the traditional network and enhances data recognition capabilities through the introduction of a random noise perturbation enhancement algorithm. The research results indicate that the data augmented with noise perturbation achieves the lowest mean square error, reducing the error value from 0.3352 to 0.3095. The use of unsupervised visualisation analysis enables clearer recognition of human actions, and the algorithm model is capable of accurately recognising aerobic movements. Compared to traditional algorithms, the new algorithm exhibits higher recognition accuracy and superior performance.

The world is transitioning towards the digitalisation of everyday tasks significantly. The impact of digital literacy on technological usage is immense. The awareness and utilisation of the digital India schemes are needed to determine unorganised retailers' overall satisfaction with digitalisation and technological usage. The chief motive of this research is to assess and analyse digital literacy in terms of technology usage and the awareness cum utilisation level of the various digital India schemes proposed by the Government of India for unorganised retailers. The conceptual framework consists of the factors such as digital literacy and digital India schemes that determine the overall satisfaction of retailers with technology usage. The corresponding results of the study synthesised the impact of digital literacy, digital India schemes, and the awareness cum utilisation level of technology among unorganised retailers based on recommendations to enhance the performance of the unorganised retail sector.

The number of online resources available for teaching and learning in higher education has been growing enormously during the last decade. A recent development is the emergence of Massive Open Online Courses (MOOCs) and of Open Educational Resources (OER). The result is a huge number of videos that are available on line. Can these videos enrich learning? As a pilot study we added sixteen videos to an existing introductory course in Human-Computer Interaction. This course is mandatory in the Bachelor programs Computer Science and Information Science (second year). Watching the videos was optional for the students. The videos originated for the most part from the MOOC Human-Computer Interaction, produced by Stanford University. We offered this course to a pilot group of eight students. The educational context was problem-based learning in distance education. The videos were welcomed by all of the students and were found to be useful in their learning process. The students watched the videos intensively and appreciated them very well. A main reason for the students to be positive about the videos was that they liked to alternate reading texts and watching videos.

Aim/Purpose: In the midst of COVID-19, classes are transitioned online. Instructors and students scramble for ways to adapt to this change. This paper shares an experience of one instructor in how he has gone through the adaptation. Background: This section provides a contextual background of online teaching. The instructor made use of M-learning to support his online teaching and adopted the UTAUT model to guide his interpretation of the phenomenon. Methodology: The methodology used in this study is action research through participant-observation. The instructor was able to look at his own practice in teaching and reflect on it through the lens of the UTAUT conceptual frame-work. Contribution: The results helped the instructor improve his practice and better under-stand his educational situations. From the narrative, others can adapt and use various apps and platforms as well as follow the processes to teach online. Findings: This study shares an experience of how one instructor had figured out ways to use M-learning tools to make the online teaching and learning more feasible and engaging. It points out ways that the instructor could connect meaningfully with his students through the various apps and plat-forms. Recommendations for Practitioners: The social aspects of learning are indispensable whether it takes place in person or online. Students need opportunities to connect socially; there-fore, instructors should try to optimize technology use to create such opportunities for conducive learning. Recommendations for Researchers: Quantitative studies using surveys or quasi-experiment methods should be the next step. Validated inventories with measures can be adopted and used in these studies. Statistical analysis can be applied to derive more objective findings. Impact on Society: Online teaching emerges as a solution for the delivery of education in the midst of COVID-19, but more studies are needed to overcome obstacles and barriers to both instructors and students. Future Research: Future studies should look at the obstacles that instructors encounter and the barriers with technology access and inequalities that students face in online classes.

Aim/Purpose . The quantitative comparative ex post facto research study covered in this paper aims to fill gaps in the literature by focusing on whether gender influences perceptions of leadership; diversity, equity, inclusion, and accessibility (DEIA); and job satisfaction among federal employees within the Department of Justice using empirical data. The study also explores whether there are relationships between the perception of leadership and job satisfaction and the perception of DEIA and job satisfaction. Background. Since 2002, the United States Office of Personnel Management (OPM) has administered the Federal Employee Viewpoint Survey (FEVS), which measures employee perceptions of whether and to what extent successful organizational conditions exist in their agencies. Areas currently assessed within the FEVS include training, job satisfaction, leadership effectiveness, management effectiveness, work-life balance, and diversity, equity, inclusion, and accessibility. The exploration of variations in perceptions of leadership, DEIA efforts, and job satisfaction among U.S. federal employees by gender and other criteria are crucial areas for research that are underrepresented in the literature. This is not only important for the United States federal government, which is grappling with high attrition rates, but also for public administrations around the world. Methodology. A quantitative ex post facto research design was used to analyze data from responses of U.S. federal employees working for the Department of Justice. Leadership, job satisfaction, and DEIA were all measured using aggregate scores from pre-determined question sets. Differences based on gender were analyzed using t-tests. Additionally, chi-squares and Spearman’s rank correlations were employed in order to explore whether there is a relationship between the perception of leadership and job satisfaction and the perception of DEIA efforts and job satisfaction among U.S. federal government workers. Contribution. The findings of this study aid in providing empirical data to support the need for federal government leadership to understand the impact of employees’ perceptions on their willingness to continue working in the federal government. The research study was grounded in Public Service Motivation Theory, which centers around factors that motivate individuals to pursue and maintain careers in the public service sector. More specifically, this study supported the public service motivation theory in that it looked at gender as a mitigating factor in public service motivation as well as explored the role of leadership and DEIA as a correlating factor to job satisfaction. The results of this research have practical implications for federal government leaders interested in increasing employee motivation and retention and who should be considering the range of sociocultural and demographic characteristics that have been found in the research to impact employee perceptions and experiences. Findings. The analyses found differences in perceptions of leadership, DEIA, and job satisfaction among United States Federal Government employees based on gender. Additionally, perceptions of leadership and DEIA were both found to influence job satisfaction. The first research question explored in this study used a t-test to consider whether the perception of leadership among U.S. federal employees differed based on participant gender with significance found. The second research question examined whether the perceived job satisfaction of U.S. federal employees differed based on gender, with statistical significance detected. The third research question focused on whether perception of DEIA differed when gender was explored and the results of the t-test indicated a significant difference in perceptions of DEIA when gender was considered. The fourth research question considered the relationship between the perception of leadership and job satisfaction. A Chi-square and a Spearman Rank Correlation were performed, and a relationship was found to exist. Research question five explored whether a relationship exists between the perception of diversity, equity, inclusion, and accessibility initiatives and job satisfaction, with significance found following a chi-square and a Spearman rank correlation. Recommendations for Practitioners. Leadership behaviors of managers and the existence of DEIA policies play a critical role in employees’ job satisfaction and commitment. The recommendations for organizational leadership in the public service sector include addressing gender inequality in work practices and environments and cultivating more inclusive organizational cultures. Recommendations for Researchers. The lack of inclusion of socio-cultural norms in the research on public service motivation is a gap that has yet to be sufficiently addressed and is an area of research that should be explored. Impact on Society. Research on public service motivation in local, state, national, and international government employment can aid organizations in developing strategies for improving recruitment, selection, and retention in public service organizations. This information can advance scientific knowledge on transforming management and leadership practices across sectors. Future Research. Future research can expound on what has been done here by examining in more detail how various identities, and more specifically intersecting identities, within the LGBTQIA+ community as well as other historically marginalized groups, impact such factors as perceptions of leadership, job satisfaction, employee motivation and retention, and work-life balance. Perceptions of specific DEIA initiatives should also be further explored.