In this episode, Fr. Daniel shares wisdom from St. John Cassian, St. Moses the Black, and St. Anthony the Great on the problem of discernment and talks about why it is so important for us - and especially clergy - to take the problem seriously. Fr. Daniel Greeson is rector of St. Anne's Orthodox Church in Oakridge TN and the editor and a writer for the new Ancient Faith Ministry Blog "Every Thought Captive", where he is publishing a series on the challenge of discernment (among other topics). Enjoy the show!

Resolutions are compatible with Orthodoxy, especially when the goal is to grow closer to God. Does Christ radiate in you?

In this episode Father John concludes his reflection on the critical state of western Christendom on the eve of modern times, exploring how the Reformation tried to resolve the issue of anthropological pessimism but ironically served to intensify it.

Between now and Christmas, Dn. Michael Hyatt teaches a short series entitled Peace on Earth. In this episode he focuses in on unresolved conflict at home, work, and church and the tools given to us by God to avoid them.

Carta: Gál 3: 23-4:5, Evangelio Lc 18: 18- 27 El Diácono Alejandro predico sobre la conversión. Letter: Gal 3: 23-4:5, Gospel: Lk 18: 18-27 Deacon Alejandro preached about conversion.

Using the example of the crowd who followed Jesus to a deserted place where he healed and fed them, Deacon Luke Loboda encourages us to trust Christ to come into the desolate places of our life to be present with us and heal us.

Fr. Gregory says that we don't need a New Year's resolution but rather a New Year's revolution.

Fr. Dn. Christopher speaks on the Feast of Sts. Peter and Paul.

Dr. Albert Rossi offers a method for conflict resolution as illustrated through his personal experience.

Bobby Maddex interviews David and Mangala Frost of the Institute for Orthodox Christian Studies (IOCS) about a new IOCS Orthodox evangelism tool called The Way, now available in the United States exclusively through Conciliar Press.

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.

John Maddex interviews Fr. Evan Armatas about a great resource for families as they prepare for their journey through Great Lent. With the coupon code AFR2014, receive a 10% discount. Find out more HERE.

Bobby Maddex interviews Steven Christoforou, the Youth Protection and Parish Ministries Coordinator for the Department of Youth and Young Adult Ministries of the Greek Orthodox Archdiocese (GOA) of America and the host of the Ancient Faith Radio video podcast Be the Bee, about the many resources for youth and young adult ministry that are available from the GOA.

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!

Most people don't keep their new year's resolutions. Is it because we're too busy trying to do more rather than be more?

Love isn’t just a feeling; it’s a choice, an action. We can show our love for our neighbors (and live our Faith) by getting involved with philanthropic groups like FOCUS North America.

You've probably heard the Parable of the Sower, and that we're called to make our hearts good soil, ready to receive God's Word. But what about our call to be sowers, to be people who plant the seeds of the Gospel? Y2AM has a special challenge for you this Advent: are you ready to #BeTheSower?

Love isn't simply something to talk about, it's something to live. Help us support IOCC in this year's Project for Awesome, and live the Gospel. Together, we can make the world a more awesome place.

Human trafficking is a big problem all over the world. In this year's Project for Awesome, we're supporting the HOPE Project, a new program that connects survivors of human trafficking housing, occupations, potential, and empowerment.

We all do it. Almost every single New Years Day we declare that we're going to live differently. We're going to get in shape. We're going to climb Mount Everest. Unfortunately most resolutions fizzle out and die within a few days, weeks or months. How can we keep our resolutions?

Lost Shore has a wave pool three times the size of Wembley football pitch - but how does it work?

Sculptor Andy Scott was commissioned to create a sculpture outside the stadium of Minnesota United FC.

Blackpool's £65m regeneration depends upon planning permission being granted, a public inquiry hears.

Norma received her award for services to the Special Olympics Sandwell.

The "disgusting huge white trailer has been there for ages now", reports one resident.

¡La APTIJ está de cumpleaños y celebra su X Aniversario! Para la ocasión se ha organizado un programa de dos días que incluye una jornada con conferencias y mesas redondas en la sede de la Comisión Europea de Madrid y un taller que estará a cargo de Esther M. Navarro-Hall: Viernes 3 de noviembre 9.00-17.30: Jornada […]

Los neófitos puede que no sepan cómo se aborda una traducción. Aún queda mucho por investigar sobre los procesos cognitivos que operan […]

by Bashar H. Malkawi Copyright is an engine for knowledge. Although copyright creates monopoly, it should not be considered as a good in itself, but as a tool which can be used to achieve desirable objectives in society. Against the

The utilisation of big data presents significant opportunities for businesses to create value and gain a competitive edge. This capability enables firms to anticipate and uncover information quickly and intelligently. The author introduces a human resource scheduling optimisation strategy using a parallel network fusion structure model. The author's approach involves designing a set of network structures based on parallel networks and streaming media, enabling the macro implementation of the enterprise parallel network fusion structure. Furthermore, the author proposes a human resource scheduling optimisation method based on a parallel deep learning network fusion structure. It combines convolutional neural networks and transformer networks to fuse streaming media features, thereby achieving comprehensive identification of the effectiveness of the current human resource scheduling in enterprises. The result shows that the macro and deep learning methods achieve a recognition rate of 87.53%, making it feasible to assess the current state of human resource scheduling in enterprises.

This article studies the application of artificial intelligence technology in natural resource planning and management. This article first introduces the background of NR and AI intelligent technology, then conducts academic research and summary on NR planning management and AI intelligent technology. Then, an algorithm model based on multi-objective intelligent planning algorithm is established. Finally, simulation experiments are conducted, and experiments summary and discussion are provided. The experimental results show that the average efficiency value of the four stages of NR planning and management before use is 5.25, and the average efficiency value of the four stages of NR planning and management after use is 7. The difference in the average efficiency value before and after use is 1.75. It can be seen that the use of AI intelligent technology can effectively improve the efficiency of natural resource planning and management.

Since the advent of the iPhone and rise of mobile technologies, educational apps represent one of the fastest growing markets, and both the mobile technology and educational app markets are predicted to continue experiencing growth into the foreseeable future. The irony, however, is that even with a booming market for educational apps, very little research regarding the quality of them has been conducted. Though some instruments have been developed to evaluate apps geared towards student learning, no such instrument has been created for teacher resource apps, which are designed to assist teachers in completing common tasks (e.g., taking attendance, communicating with parents, monitoring student learning and behavior, etc.). Moreover, when teachers visit the App Store or Google Play to learn about apps, the only ratings provided to them are generic, five-point evaluations, which do not provide qualifiers that explain why an app earned three, two, or five points. To address that gap, previously conducted research related to designing instructional technologies coupled with best practices for supporting teachers were first identified. That information was then used to construct a comprehensive rubric for assessing teacher re-source apps. In this article, a discussion that explains the need for such a rubric is offered before describing the process used to create it. The article then presents the rubric and discusses its different components and potential limitations and concludes with suggestions for future research based on the rubric.

With the rapid development of Artificial Intelligence (AI) technology, significant breakthroughs have been made in its application in many fields. Especially, in the field of enterprise human resource management and employee performance evaluation, AI has demonstrated its powerful ability to optimise and improve performance. This study explores the application of AI in enterprise human resource management and how to use AI to evaluate employee performance. The research includes analysing and comparing existing AI-driven human resource management models, evaluating how AI can help improve employee performance and leadership styles, and designing and developing human resource management computer systems for enterprise employees. Through empirical research and case analysis, this study proposes a new AI-optimised employee performance evaluation model and explores its application and effect in practice. In general, the application of AI can improve the efficiency and accuracy of enterprise human resource management, and provide new possibilities for employee performance evaluation. At present, artificial intelligence technology has been widely used in various fields of daily life, especially in corporate human resource management, providing better support for the development of enterprises.

In order to improve recommendation coverage, a personalised recommendation method for English online learning resources based on improved collaborative filtering algorithm is studied to enhance the comprehensiveness of personalised recommendation for learning resources. Use matrix decomposition to decompose the user English online learning resource rating matrix. Cluster low dimensional English online learning resources by improving the K-means clustering algorithm. Based on the clustering results, calculate the backfill value of English online learning resources and backfill the information matrix of low dimensional English online learning resources. Using an improved collaborative filtering algorithm to calculate the predicted score of learning resources, personalised recommendation of English online learning resources for users based on the predicted score. Experimental results have shown that this method can effectively backfill English online learning resources, and the resource backfilling effect is excellent, and it has a high recommendation coverage rate.

Due to the problems of low clustering accuracy and efficiency in traditional similar resource clustering methods, this paper studies an English MOOC similar resource clustering method based on grey correlation. Principal component analysis was used to extract similar resource features of English MOOC, and feature selection methods was used to pre-process similar resource features of English MOOC. On this basis, based on the grey correlation method, the pre-processed English MOOC similar resource features are standardised, and the correlation degree between different English MOOC similar resource features is calculated. The English MOOC similar resource correlation matrix is constructed to achieve English MOOC similar resource clustering. The experimental results show that the contour coefficient of the proposed method is closer to one, and the clustering accuracy of similar resources in English MOOC is as high as 94.2%, with a clustering time of only 22.3 ms.

In order to enhance the accuracy of teaching resource recommendation results and optimise user experience, a personalised recommendation method for English teaching resources on the MOOC platform based on data mining is proposed. First, the learner's evaluation of resources and resource attributes are abstracted into the same space, and resource tags are established using the Knowledge graph. Then, interest preference constraints are introduced to mine sequential patterns of user historical learning behaviour in the MOOC platform. Finally, a graph neural network is used to construct a recommendation model, which adjusts users' short-term and short-term interest parameters to achieve dynamic personalised teaching recommendation resources. The experimental results show that the accuracy and recall of the resource recommendation results of the research method are always higher than 0.9, the normalised sorting gain is always higher than 0.5.

In order to shorten the integration and sharing time of English teaching resources, a MOOC English online and offline mixed teaching resource integration model based on convolutional neural networks is proposed. The intelligent integration model of MOOC English online and offline hybrid teaching resources based on convolutional neural network is constructed. The intelligent integration unit of teaching resources uses the Arduino device recognition program based on convolutional neural network to complete the classification of hybrid teaching resources. Based on the classification results, an English online and offline mixed teaching resource library for Arduino device MOOC is constructed, to achieve intelligent integration of teaching resources. The experimental results show that when the regularisation coefficient is 0.00002, the convolutional neural network model has the best training effect and the fastest convergence speed. And the resource integration time of the method in this article should not exceed 2 s at most.

The value and utility of traditional knowledge in conserving and commercialising genetic resources are increasingly becoming apparent due to advances in biotechnology and bioprospecting. However, the absence of an international legally binding instrument within the WIPO system means that traditional knowledge associated with genetic resources is not sufficiently protected like other forms of intellectual property. This means that indigenous peoples and local communities (IPLCs) do not benefit from the commercial exploitation of these resources. The efficacy of domestic tools to protect traditional knowledge and in balancing the rights of IPLCs and intellectual property rights (IPRs) is still debated. This paper employs a doctrinal research methodology based on desktop research of international and regional law instruments and the Constitution of the Republic of South Africa, 1996, to determine the basis for balancing the protection of genetic resources and associated traditional knowledge with competing interests of IPLCs and IPRs in South Africa.

In order to improve the classification accuracy and online allocation accuracy of teaching resources and shorten the allocation time, this paper proposes a new online allocation method of college ideological and political curriculum teaching resources based on differential search algorithm. Firstly, the feedback parameter model of teaching resources cleaning is constructed to complete the cleaning of teaching resources. Secondly, according to the results of anti-interference consideration, the linear feature extraction of ideological and political curriculum teaching resources is carried out. Finally, the online allocation objective function of teaching resources for ideological and political courses is constructed, and the differential search algorithm is used to optimise the objective function to complete the online allocation of resources. The experimental results show that this method can accurately classify the teaching resources of ideological and political courses, and can shorten the allocation time, with the highest allocation accuracy of 97%.