Fr. Apostolos encourages us that it is possible to change. May we approach the Feast of the Transfiguration "with a sense of humility and anticipation that we too might be radically changed into that same image from glory to glory."

Fr. Apostolos Hill speaks about the importance of being transfigured in Jesus Christ.

Fr. Tom discusses how the Christian life consists of personal transformation and a deep urgency to bring others into the fold.

Join Deacon John Skowron in today's discussion. What are we withholding from God's will? Are we making time for Christ in our lives?

Fr. Gregory Hallam brings the homily on the Feast of the Transfiguration.

Fr. Dn. Emmanuel gives the sermon about the Feast of the Transfiguration of our Lord.

Fr. Gregory introduces a guest preacher today who talks about the pattern of redemption: the Lord heals the soul and then the body.

On this special edition of Ancient Faith Presents, Metropolitan Kallistos Ware speaks on the Transfiguration during the course of a weeklong pilgrimage to Mull and Iona that was organized by Friends of Orthodoxy on Iona.

Ancient Faith Radio correspondent Chrysanthe Loizos takes us "behind the scenes" at the Orthodox Monastery of the Transfiguration in Ellwood City, PA. With the blessing of the Abbess, Mother Christophora, Chrysanthe gives us a glimpse into the daily life of the nuns as well as their purpose and goals.

Part one of a four-part documentary called "Transformation: Same-Sex Attraction Through the Lens of Orthodox Christianity." In this first episode, we meet four individuals who are faithful, obedient Orthodox Christians in terms of celibacy, but are attracted to members of the same sex. What are their stories, struggles, and disappointments? How have they been received in the Orthodox Church? And what do they want the Church to know about that struggle? Resource: Christian Faith and Same Sex Attraction by Fr. Thomas Hopko

Part two of "Transformation: Same-Sex Attraction Through the Lens of Orthodox Christianity." In part two, we take a deep dive into the theology surrounding same-sex attraction. What do the Scripture, canons, and Fathers have to say about it? Is it sinful to have a same-sex attraction? Archbishop Michael, Dr. Jeannie Constantinou, Fr. Harry Linsinbigler, Dr. Roxanne Louh, and Dr. Edith M. Humphrey are among our panelists. Resource: Christian Faith and Same Sex Attraction by Fr. Thomas Hopko

Part three of our four-part documentary Transformation: Same-Sex Attraction Through the Lens of Orthodox Christianity How are we doing as a Church at showing love to everyone who walks in our doors? Are we welcoming or judgmental? Does a warm welcome translate into endorsement of someone's lifestyle? If we are to truly love one another and bear one another's burdens, we need to get to know them first. Resource: Christian Faith and Same Sex Attraction by Fr. Thomas Hopko

Part four of our four-part documentary, "Transformation: Same Sex Attraction Through The Lens Of Orthodox Christianity." In this episode, we will hear a call to listen, to engage, to show patience, and extend the benefit of the doubt wherever we can—especially our young people who are asking tough questions and deserve to be heard. Resource: Christian Faith and Same Sex Attraction by Fr. Thomas Hopko

In this homily from 2006, Fr. Pat reflects upon the Body of Christ, the Sacraments, and our own transfiguration in Christ.

What can the Transfiguration teach us about being the bee?

In this first episode of 2016, host Kevin Allen speaks with Archimandrite and Abbot Sergius of the Monastery of Saint Tikhon of Zadonsk, the oldest Orthodox monastery in the U.S., about practical ways Christians can cooperate with the grace of God to "...be transformed ..." (Rom. 12:2) into the Likeness of Christ. Abbot Sergius is the author of the book "Acquiring the Mind of Christ: Embracing the Vision of the Orthodox Church" (St Tikhon Seminary Press). Father Sergius is the 16th Abbot of Saint Tikhon’s Monastery and Lecturer of Orthodox Spirituality at Saint Tikhon’s Orthodox Theological Seminary.

Fr. Philip reflections on the Transfiguration of our Lord Jesus Christ. "... you will do well if you take heed, as to a lamp shining in a dark place, until day breaks, and the Morning Star dawns forth in your hearts."

The Apostle Peter witnessed the Transfiguration and wanted it to stay there but God the Father had other plans.

So What had the other nine apostles been getting up to?

You will do well to pay attention to this says Apostle Peter. 2 Peter 1: 10 - 19, Matthew 17: 1 - 9

Artificial Intelligence (AI) is changing how user experience design is handled across various industries by playing a vital role in developing tailored and seamless experiences for users. Starting from app […]

The post How AI is Transforming User Experience (UX)  appeared first on Tech Digest.

Using pre-existing software components (COTS) to develop software systems requires the composition and adaptation of the component interfaces to solve mismatch problems. These mismatches may appear at different interoperability levels (signature, behavioural, quality of service and semantic). In this article, we define an approach which supports composition and adaptation of software components based on model transformation by taking into account the four levels. Signature and behavioural levels are addressed by means of transition systems. Context-awareness and semanticbased techniques are used to tackle quality of service and semantic, respectively, but also both consider the signature level. We have implemented and validated our proposal for the design and application of realistic and complex systems. Here, we illustrate the need to support the variability of the adaptation process in a context-aware pervasive system through a real-world case study, where software components are implemented using Windows Workflow Foundation (WF). We apply our model transformation process to extract transition systems (CA-STS specifications) from WF components. These CA-STSs are used to tackle the composition and adaptation. Then, we generate a CASTS adaptor specification, which is transformed into its corresponding WF adaptor component with the purpose of interacting with all the WF components of the system, thereby avoiding mismatch problems.

Image forgery detection techniques refer to the process of detecting manipulated or altered images, which can be used for various purposes, including malicious intent or misinformation. Image forgery detection is a crucial task in digital image forensics, where researchers have developed various techniques to detect image forgery. These techniques can be broadly categorised into active, passive, machine learning-based and hybrid. Active approaches involve embedding digital watermarks or signatures into the image during the creation process, which can later be used to detect any tampering. On the other hand, passive approaches rely on analysing the statistical properties of the image to detect any inconsistencies or irregularities that may indicate forgery. In this paper for the detection of scaling and cropping attack a deep learning method has been proposed using ResNet. The proposed method (Res-Net-Adam-Adam) is able to achieve highest amount of accuracy of 99.14% (0.9914) while detecting fake and real images.

The intelligent financial sharing platform in the online realm is capable of collecting, storing, processing, analysing and sharing financial data through the integration of AI and big data processing technologies. However, as data volume grows exponentially, the cost of financial data storage and processing increases, and the asset accounting and financial profit data sharing analysis structure in financial sharing platforms is inadequate. To address the issue of data security sharing in the intelligent financial digital sharing platform, this paper proposes a data-sharing framework based on blockchain and edge computing. Building upon this framework, a non-separable task distribution algorithm based on data sharing is developed, which employs multiple nodes for cooperative data storage, reducing the pressure on the central server for data storage and solving the problem of non-separable task distribution. Multiple sets of comparative experiments confirm the proposed scheme has good feasibility in improving algorithm performance and reducing energy consumption and latency.

With the expansion of business scope, the environment faced by enterprises has also changed, and competition is becoming increasingly fierce. Traditional financial systems are increasingly difficult to handle complex tasks and predict potential financial risks. In the context of the digital economy era, the booming financial sharing services have reduced labour costs and improved operational efficiency. This paper designs and implements an intelligent financial sharing platform, establishes a fund payment risk early warning model based on an improved support vector machine algorithm, and tests it on the Financial Distress Prediction dataset. The experimental results show that the effectiveness of using F2 score and AUC evaluation methods can reach 0.9484 and 0.9023, respectively. After using this system, the average financial processing time per order decreases by 43%, and the overall financial processing time decreases by 27%. Finally, this paper discusses the role of intelligent financial sharing platform in accounting transformation and optimisation of production.

As IOT develops drastically these years, the application of cloud computing in many fields has become possible. In this paper, we take low-voltage current transformers in power systems as the research object and propose a TCN-BI-GRU power measurement method that incorporates the signal characteristics based on the transformer input and output. Firstly, the basic signal enhancement extraction of input and output is completed by using EMD and correlation coefficients. Secondly, multi-dimensional feature extraction is completed to improve the data performance according to the established TCN network. Finally, the power prediction is completed by using BI-GRU, and the results show that the RMSE of this framework is 5.69 significantly lower than other methods. In the laboratory test, the device after being subjected to strong disturbance, its correlation coefficient feature has a large impact, leading to a large deviation in the prediction, which provides a new idea for future intelligent prediction.

Digital Transformation seeks to improve the processes of an organisation by integrating digital technology in all its areas, this is inevitable due to technological evolution that generates new demands, new habits and greater demands on customers and users, therefore Digital Transformation is important. In organisations to maintain competitiveness. In this context, universities are no strangers to this reality, but they find serious problems in their execution, it is not clear how to deal with an implementation of this type. The work seeks to identify tools that can be used in the implementation of Digital Transformation in universities, for this a systematic review of literature is carried out with a method based on three stages, 23 models, 13 frameworks and 8 roadmaps are identified. The elements found are analysed, obtaining eight main components with their relationships and dependencies, which can be used to generate more optimal models for universities.

This empirical study investigates the mediating role of two components of psychological capital (PsyCap), namely self-efficacy and optimism, in the context of the relationship between transformational leadership (TL), work engagement (WE), and innovative work behaviour (IWB). The study was conducted among IT professionals with a minimum of three years of experience employed in Chennai, India. Data collection was executed using a Google Form, and both measurement and structural models were examined using SPSS 25.0 and AMOS 23.0. The findings of this study reveal several significant relationships. Firstly, transformational leadership (TL) demonstrates a robust positive association with work engagement (WE). Furthermore, work engagement (WE) positively correlates substantially with innovative work behaviour (IWB). Notably, the study underscores that two crucial components of psychological capital, specifically self-efficacy and optimism, mediate the relationship between transformational leadership (TL) and work engagement (WE). These findings carry valuable implications for IT company managers. Recognising that transformational leadership positively influences both work engagement and employees' innovative work behaviour highlights the pivotal role of leaders in fostering a productive and innovative work environment within IT organisations.

Smart home devices are vulnerable to various attacks, including distributed-denial-of-service (DDoS) attacks. Current detection techniques face challenges due to nonlinear thought, unusual system traffic, and the fluctuating data flow caused by human activities and device interactions. Identifying the baseline for 'normal' traffic and suspicious activities like DDoS attacks from encrypted data is also challenging due to the encrypted protective layer. This work introduces a concept called synoptic crow search with recurrent transformer network-based DDoS attack detection, which uses the synoptic weighted crow search algorithm to capture varying traffic patterns and prioritise critical information handling. An adaptive recurrent transformer neural network is introduced to effectively regulate DDoS attacks within encrypted data, counting the historical context of the data flow. The proposed model shows effective performance in terms of low false alarm rate, higher detection rate, and accuracy.

Using information criteria is a common method for making a decision about which model to use for forecasting. There are many different methods for evaluating forecasting models, such as MAE, RMSE, MAPE, and Theil-U, among others. After the creation of AIC, AICc, HQ, BIC, and BICc, the two criteria that have become the most popular and commonly utilised are Bayesian IC and Akaike's IC. In this investigation, we are innovative in our use of exponential weighting to get the log-likelihood of the information criteria for model selection, which means that we propose assigning greater weight to more recent data in order to reflect their increased precision. All research data is from the major stock markets' daily observations, which include the USA (GSPC, DJI), Europe (FTSE 100, AEX, and FCHI), and Asia (Nikkei).

Aim/Purpose: Blended learning can transform students experience and learning in higher education. Although the literature extensively explores benefits of blended learning, limited research exists to provide a detailed design principle for implementing instructional activities in blended courses and its usage as tool to influence learning outcomes for second language first year accounting learners. Background: The objective of this study is to find out how the learning experience of students was impacted and by designing and implementing blended learning and connectivity between online and face-to-face learning. This paper reviews the challenges and benefits of blended learning and highlights teachers’ and students’ perceptions on the impact of the connectivity of online and face-to-face activities on students’ learning. Methodology: Data was collected from students enrolled in the course using an open-ended questionnaire. There were 220 respondents, representing a response rate of 65%. Data was extracted from the online learning data and grade center. Teachers’ experiences and observations were also noted. The survey results were analyzed using content analysis. Contribution: Research focusing on blended learning design and implementation is limited, and there is no one size fits all when it comes to blended learning. Consequently, this paper contributes to the discussion by highlighting how second language, first-year accounting students benefit from blended learning and the connectivity between online and face-to-face activities. Increased flexibility for learners appears to be one of the most cited rationale for the combination of traditional with online instructional methods, however, this study evaluates blended learning as a tool for transforming the learning experience of second language, first year accounting students. Findings: Findings show that students benefit from blended learning, and connectivity between online and in-class activities allows students to exploit the advantages of both online and face-to-face learning. Students can see the relevance of what they are doing online and how that contributes to their in-class activities and, hence, are motivated to complete the activities. Recommendations for Practitioners: Educators should use a well-designed blended learning pathway to empower students to be in charge of their learning. Placing materials online creates more and better opportunities for engaging students in class. Institutional support is important when implementing blended learning. Recommendations for Researchers: There is a need for more studies on blended learning design and implementation. Future researchers may carry out more studies on how blended learning design affects student engagement and learning for second language learners in other courses. Impact on Society: A blended learning pathway would greatly benefit second language learners to learn better and empower them to be more independent as a self-directed learner who is able to utilize their time wisely. Community of practice is an excellent platform to encourage teaching teams to work together and create innovative teaching and assessment materials. Future Research: Future studies may carry out the study using other methods for example quantitative surveys and interviews to get a deeper understanding of both students and teachers’ perceptions and experiences.

Aim/Purpose: The purpose of this paper is to illuminate the learning that happens in assuming a supervisee’s role during the postgraduate study. Background: The facilitators and barriers students encountered while pursuing postgraduate studies, strategies to achieve success in postgraduate studies, and how to decrease attrition rates of students, have been sufficiently explored in literature. However, there is little written about the personal and professional impact on students when they are being supervised to complete their postgraduate studies. Methodology: Autoethnographic method of deep reflection was used to examine the learning that transpired from the supervisee’s perspective. Two lecturers (a Senior Lecturer in Nursing and an Aboriginal Tutor) focused on their postgraduate journeys as supervisees, respectively, with over 30 years of study experience between them, in Australia and abroad. Contribution: Future postgraduate students, researchers, would-be supervisors and experienced supervisors could learn from the reflections of the authors’ postgraduate experiences. Findings: Four themes surfaced, and these were Eureka moments, Critical friend(s), Supervisory relationship, and Transformative learning. The authors highlighted the significance of a supervisory relationship which is key to negotiating the journey with the supervisor. Essential for these students also were insights on finding the path as well as the destination and the transformative aspects that happened as a necessary part of the journey. Conclusion. The postgraduate journey has taught them many lessons, the most profound of which was the change in perspective and attitude in the process of being and becoming. Personal and professional transformative learning did occur. At its deepest level, the authors’ reflections resulted in self-actualization and a rediscovery of their more authentic selves. Recommendations for Practitioners: This article highlights the importance of the supervisory relationship that must be negotiated to ensure the success of the candidate. Reflections of the transformation are recommended to support the students further. Recommendation for Researchers: Quality supervision can make a significant influence on the progress of students. Further research on the supervisory relationship is recommended. Impact on Society: The support in terms of supervision to ensure postgraduate students’ success is essential. Postgraduate students contribute to the human, social, professional, intellectual, and economic capital of universities and nations globally. Future Research: Further reflections of the transformative learning will advance the understanding of the personal and professional changes that occur with postgraduate supervision.