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Take the pulse of your Instagram presence The BIME's Instagram connector provides Media analytics and Account analytics. Media Analytics allows you to analyse the number of Likes and Comments of any public instagram feed over time along the posts and their characteristics (size, geographic origin, captions...). Account analytics gives you a view of the account stats such as number of followers, posts and follows. Built for benchmark As most of the feeds are public, you can compare your performance versus others and/or aggregate several accounts under your brand. Consolidated views You can consolidate your view with any other BIME data source. Compare & contrast with your Facebook or Youtube to find the most efficient channel to invest on. About BIME : BIME delivers a simple-to-use yet powerful data analysis and dashboarding cloud platform accessible everywhere that enables modern organizations to explore, understand and communicate data with style. Its UI combines the visual simplicity and elegance of the best consumer apps with powerful features to connect to all major data sources, on-premise or online - from spreadsheets and traditional relational databases to Google Analytics, Facebook, Twitter, YouTube, Salesforce and Zendesk and up to Big Data sources such as Google BigQuery, Amazon Redshift, Microsoft Azure and SAP HANA. BIME runs entirely in the cloud so enterprises avoid spending tens of thousands of dollars on servers to upload and refine their data. No other BI service is as flexible and powerful, as beautiful and enjoyable and as affordable as BIME. In the mobile first, cloud first world, maximizing ease of use is the name of the game for any business application. BIME is setting a new industry standard for business intelligence UI.

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This paper evaluates the implications of Eastern EU enlargement with the use of a computable general equilibrium model. The focus is on accession to the Single Market, with explicit modelling of the removal of border costs and costs of producing to different national standards. The results indicate significant welfare gains for the CEECs (volume of GDP increases by 1.4-2.4%) and modest gains for the EU. The steady state scenarios, which allow for the capital stock adjustment in response to higher return to capital, more than double the static welfare gains. Authored by: Maryla Maliszewska Published in 2004

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Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46 Event Link:- https://meetups.mulesoft.com/events/details/mulesoft-mysore-presents-exploring-gemini-ai-and-integration-with-mulesoft/ Agenda ● Java 17 Upgrade Overview ● Why and by when do customers need to upgrade to Java 17? ● Is there any immediate impact to upgrading to Mule Runtime 4.6 and beyond? ● Which MuleSoft products are in scope? For Upcoming Meetups Join Mysore Meetup Group - https://meetups.mulesoft.com/mysore/ YouTube:- youtube.com/@mulesoftmysore Mysore WhatsApp group:- https://chat.whatsapp.com/EhqtHtCC75vCAX7gaO842N Speaker:- Shubham Chaurasia - https://www.linkedin.com/in/shubhamchaurasia1/ Priya Shaw - https://www.linkedin.com/in/priya-shaw Organizers:- Shubham Chaurasia - https://www.linkedin.com/in/shubhamchaurasia1/ Giridhar Meka - https://www.linkedin.com/in/giridharmeka Priya Shaw - https://www.linkedin.com/in/priya-shaw Shyam Raj Prasad- https://www.linkedin.com/in/shyam-raj-prasad/

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http://sandymillin.wordpress.com/iateflwebinar2024 Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error. Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials. This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.

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Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.

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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction. This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.

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