Fr. Roberto Ubertino, Founder and Executive Director of St. John the Compassionate Mission, explains how mission work begins by showing how God is already working in people's lives.

Fr. Apostolos talks about the importance of the Cross.

A temptation for some Orthodox Christians is to take in the beauty of the church services while remaining somewhat mentally disengaged. Fr Tom reminds us that Christ's command to "launch out into the deep" is given to everyone to plumb the depths of the wisdom and word of God. (Sixteenth Sunday after Pentecost)

Fr Thomas reminds us of the value of learning to deepen our faith.

Dr. Rossi interviews Fr. Nicholas Solak, parish priest of Holy Trinity Orthodox Church in Stroudsburg, PA, on the topic of Clergy Peer Learning Groups in the life of a priest.

Dr. Albert Rossi reflects on the spiritual lessons that can be learned from the famous Mona Lisa.

John Maddex interviews Dr. Costas Athanasopoulos of the Institute for Orthodox Christian Studies about the school's new Distance Learning Program.

An interview with Professor David Frost from the Institute for Orthodox Christian Studies in Cambridge. Hear about some programs you can take advantage of even if you don't live in the UK!

Archpriest Gregory Hallam who publishes his sermons here on the Voice from the Isles podcast also hosts on the UK Antiochian Deanery website a three-year diploma in Orthodox theology. The course has the bishop’s blessing, and a distance learning option is available. Fr. Gregory offers this taster podcast from the third year, Lecture 61. If you are interested in this course please visit this web page for details:- http://www.antiochian-orthodox.co.uk/e-quip.htm

Bobby Maddex interviews Costas (Constantinos Athanasopoulos), the Director of Distance Learning at the Institute for Orthodox Christian Studies in the UK, and Michael Basham, a recent graduate of this distance-learning program.

Bobby Maddex interviews Dr. David Frost, the principal and administrator of the Institute for Orthodox Christian Studies in Cambridge, England, about the institute's Distance Learning Program, which is currently accepting new applicants.

Matthew Gallatin interviews Anne Van Fossen about the Classical Learning Resource Center, an online classroom with instruction in Greek, Latin, mythology, philosophy, and critical thinking.

Bobby Maddex interviews Anne Van Fossen, cofounder of the Classical Learning Resource Center, an online Orthodox classical education program.

Bobby Maddex welcomes back to the program Anne Van Fossen, one of the founders of the Classical Learning Resource Center, to discuss some of the exciting new developments that are taking place at the center.

Bobby Maddex welcomes back to the program Anne Van Fossen, one of the founders of the Classical Learning Resource Center, to discuss some of the exciting new developments that are taking place at the online school.

Bobby Maddex interviews Anne Van Fossen, one of the founders of the Classical Learning Resource Center, about the growing slate of educational offerings at the CLRC.

Bobby Maddex interviews Anne Van Fossen of the Classical Learning Resource Center (CLRC). Use the coupon code AFRDiscount10 to receive a 10% discount off the CLRC's Christian Study Courses.

Bobby Maddex interviews Anne Van Fossen and Bryan Smith. Anne is the chief academic officer of the Classical Learning Resource Center, or CLRC, and Bryan is the school’s Chief Operations Officer. The CLRC is offering a 10% discount off any CLRC Christian Studies class for AFR listeners for the next two weeks. The coupon code is AFRDiscount10.

Bobby Maddex interviews Anne Van Fossen, the Chief Academic Officer of The Classical Learning Resource Center. Together they discuss some exciting new developments at the CLRC, including a new online academy!

I graduated college 30 years ago. Email wasn't a big thing, and the web (and YouTube) didn't really exist. So imagine what it took, how much work was involved, to learn something new. I'm not saying I walked to school in the snow, uphill both ways. But learning something new meant either finding a mentor ... Read more

The post Learning Something New appeared first on Chris Lema.

BBC Radio Stoke’s Matt Weigold went to try his hand at apple wanging for Alton Apple Day.

My Life My Choice founder Michael Edwards is recognised during a ceremony at Windsor Castle.

This paper systematically discusses the security and privacy concerns for e-learning systems. A five-layer architecture of e-learning system is proposed. The security and privacy concerns are addressed respectively for five layers. This paper further examines the relationship among the security and privacy policy, the available security and privacy technology, and the degree of e-learning privacy and security. The digital identity attributes are introduced to e-learning portable devices to enhance the security and privacy of e-learning systems. This will provide significant contributions to the knowledge of e-learning security and privacy research communities and will generate more research interests.

With the emergence of the Web 2.0 phenomena, technology-assisted social networking has become the norm. The potential of social software for collaborative learning purposes is clear, but as yet there is little evidence of realisation of the benefits. In this paper we consider Information and Communication Technology student attitudes to collaboration and via two case studies the extent to which they exploit the use of wikis for group collaboration. Even when directed to use a particular wiki designed for the type of project they are involved with, we found that groups utilized the wiki in different ways according to the affordances ascribed to the wiki. We propose that the integration of activity theory with an affordances perspective may lead to improved technology, specifically Web 2.0, assisted collaboration.

Computer Supported Collaborative Learning could highly impact education around the world if the proper Collaborative Learning tools are set in place. In this paper we describe the design of a collaborative learning activity for teaching Chemistry to Chilean students. We describe a PDA-based software tool that allows teachers to create workgroups in their classrooms in order to work on the activity. The developed software tool has three modules: one module for teachers, which runs on a PC and lets them create the required pedagogical material; second, there is a PDA module for students which lets them execute the activity; finally, a third module allows the teacher set workgroups and monitor each workgroup during the activity.

Responsive open learning environments (ROLEs) are the next generation of personal learning environments (PLEs). While PLEs rely on the simple aggregation of existing content and services mainly using Web 2.0 technologies, ROLEs are transforming lifelong learning by introducing a new infrastructure on a global scale while dealing with existing learning management systems, institutions, and technologies. The requirements engineering process in highly populated test-beds is as important as the technology development. In this paper, we will describe first experiences deploying ROLEs at two higher learning institutions in very different cultural settings. The Shanghai Jiao Tong University in China and at the “Center for Learning and Knowledge Management and Department of Information Management in Mechanical Engineering” (ZLW/IMA) at RWTH Aachen University have exposed ROLEs to theirs students in already established courses. The results demonstrated to readiness of the technology for large-scale trials and the benefits for the students leading to new insights in the design of ROLEs also for more informal learning situations.

Improving website structures is the main task of a website designer. In recent years, numerous web engineering researchers have investigated navigation recommendation systems. Page recommendation systems are critical for mobile website navigation. Accordingly, we propose a smart and adaptive navigation recommendation system based on reinforcement learning. In this system, user navigation history is used as the input for reinforcement learning model. The model calculates a surf value for each page of the website; this value is used to rank the pages. On the basis of this ranking, the website structure is modified to shorten the user navigation path length. Experiments were conducted to evaluate the performance of the proposed system. The results revealed that user navigation paths could be decreased by up to 50% with training on 12 months of data, indicating that users could more easily find a target web page with the help of the proposed adaptive navigation recommendation system.

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 confluence of the internet of things (IoT) with smart grids has ushered in a paradigm shift in energy management, promising unparalleled efficiency, economic robustness and unwavering reliability. However, this integrative evolution has concurrently amplified the grid's susceptibility to cyber intrusions, casting shadows on its foundational security and structural integrity. Machine learning (ML) and deep learning (DL) emerge as beacons in this landscape, offering robust methodologies to navigate the intricate cybersecurity labyrinth of IoT-infused smart grids. While ML excels at sifting through voluminous data to identify and classify looming threats, DL delves deeper, crafting sophisticated models equipped to counteract avant-garde cyber offensives. Both of these techniques are united in their objective of leveraging intricate data patterns to provide real-time, actionable security intelligence. Yet, despite the revolutionary potential of ML and DL, the battle against the ceaselessly morphing cyber threat landscape is relentless. The pursuit of an impervious smart grid continues to be a collective odyssey. In this review, we embark on a scholarly exploration of ML and DL's indispensable contributions to enhancing cybersecurity in IoT-centric smart grids. We meticulously dissect predominant cyber threats, critically assess extant security paradigms, and spotlight research frontiers yearning for deeper inquiry and innovation.

Drawing on the MOA framework, this study establishes a research model that explains the usage intention of robo-advisors. In the model, three predictors that consist of technology relative advantage, technology herding, and technology familiarity influence usage intention of robo-advisors directly and indirectly via the partial mediation of trust. At the same time, the effects of the three predictors on trust are hypothetically moderated by learning goal orientation and perceived performance risk respectively. Statistical analyses are provided using the data of working professionals from the insurance industry in Taiwan. Based on its empirical findings, this study discusses important theoretical and practical implications.

Aiming at the problem of aggravation of traffic congestion caused by unstable signal control of traffic signal control system, the Multi-Agent Deep Deterministic Policy Gradient-based Traffic Cyclic Signal (MADDPG-TCS) control algorithm is used to control the time and data dimensions of the signal control scheme. The results show that the maximum vehicle delay time and vehicle queue length of the proposed algorithm are 11.33 s and 27.18 m, which are lower than those of the traditional control methods. Therefore, this method can effectively reduce the delay of traffic signal control and improve the stability of signal control.

Physical Layer Security (PLS) and relay technology have emerged as viable methods for enhancing the security of wireless networks. Relay technology adoption enhances the extent of coverage and enhances dependability. Moreover, it can improve the PLS. Choosing relay and jammer nodes from the group of intermediate nodes effectively mitigates the presence of powerful eavesdroppers. Current methods for Joint Relay and Jammer Selection (JRJS) address the optimisation problem of achieving near-optimal secrecy. However, most of these techniques are not scalable for large networks due to their computational cost. Secrecy will decrease if eavesdroppers are aware of the relay and jammer intermediary nodes because beamforming can be used to counter the jammer. Consequently, this study introduces a multi-agent Q-learning-based PLS-enhanced secured joint relay and jammer in dual-hop wireless cooperative networks, considering the existence of several eavesdroppers. The performance of the suggested algorithm is evaluated in comparison to the current algorithms for secure node selection. The simulation results verified the superiority of the proposed algorithm.

To achieve psychological and emotional analysis of massive internet chats, researchers have used statistical methods, machine learning, and neural networks to analyse the dynamic tendencies of texts dynamically. For long readers, the author first compares and explores the differences between the two psychoanalysis algorithms based on the emotion dictionary and machine learning for simple sentences, then studies the expansion algorithm of the emotion dictionary, and finally proposes an extended text psychoanalysis algorithm based on conditional random field. According to the experimental results, the mental dictionary's accuracy, recall, and F-score based on the cognitive understanding of each additional ten words were calculated. The optimisation decreased, and the memory and F-score improved. An <i>F</i>-value greater than 1, which is the most effective indicator for evaluating the effectiveness of a mental analysis problem, can better demonstrate that the algorithm is adaptive in the literature dictionary. It has been proven that this scheme can achieve good results in analysing emotional tendencies and has higher efficiency than ordinary weight-based psychological sentiment analysis algorithms.

In order to reduce the challenges encountered by learners and educators in engaging in educational activities, this paper classifies learners' roles in virtual learning communities, and explores the role of behaviour characteristics and their positions in collaborative knowledge construction networks in promoting the process of knowledge construction. This study begins with an analysis of the relationship structure among learners in the virtual learning community and then applies the FCM algorithm to arrange learners into various dimensional combinations and create distinct learning communities. The test results demonstrate that the FCM method performs consistently during the clustering process, with less performance oscillations, and good node aggregation, the ARI value of the model is up to 0.90. It is found that they play an important role in the social interaction of learners' virtual learning community, which plays a certain role in promoting the development of artificial intelligence.