مطالب

This study aims to present a novel generative AI-driven system for hyper-personalized health monitoring. Dynamic data processing, predictive modeling, and flexible learning improve real-time health evaluations. By combining weighted feature aggregation, iterative least squares estimation, and selective feature extraction, the suggested strategy makes predictions that are more accurate while using less computer power. Abnormality detection methods like adaptive thresholding and Kalman filtering provide accurate health monitoring. Attention, gradient-based optimization, and sequence learning improve health trend forecasts as the model improves. Generative AI-driven wearables outperform conventional and AI-based alternatives in many key performance tests. These evaluations include prediction accuracy (94%), real-time monitoring efficiency (93%), adaptability (92%), data integration quality (95%), and system reaction time (90 ms). These devices are safer (96%), have longer battery life (32 hours), and are simpler, more comfortable, and scalable. The results suggest that creative AI can transform personal healthcare into something more adaptable, safe, and affordable. Generative AI-powered smart gadgets are the most sophisticated means to monitor health in real time and deliver individualized, data-driven medical treatment. Future research will concentrate on improving prediction models and developing AI-driven modification approaches to make them more effective in additional healthcare scenarios.

A series of architectural spaces were discovered from the excavation of Tepe C of Bandiān Dargaz, a site revealing both the Islamic and Sasanian periods. The surface layer is related to the Ilkhanid period followed with the layer of the Sasanian period, which further consists of two phases. The architecture of the first phase is the remains of a palace, which had probably been transformed into a set of industrial-production workshops in the second phase of architecture. The remains of the palace include a pillared hall, long halls, and a part that is probably a Mithraeum and was built during the reign of Yazdgerd I.

The aim of the research is to design a model of Support Management Information Systems for penetration strategies of Iranian beverages to international markets and validation it. In this research, a combination of interviews with three-stage coding of grounded theory and questionnaires; therefore, this research is mixed. The statistical population of this research includes experts in the field of marketing international products, and according to the research objective, the sampling in this research is purposeful. The sample size in this research was selected to be 10 people based on the snowball sampling method. The research findings identified 8 factors, including Market characteristics (market analysis and selection of target markets), product characteristics (production and packaging), marketing and branding strategies and advertising, cultural and social factors, market challenges and opportunities, management and organizational processes, distribution and sales network, and competitive pricing. ,. The research results showed that for success and penetration in international markets, Iranian beverage companies need to pay special attention to Market characteristics (market analysis and selection of target markets), product characteristics (production and packaging), marketing and branding strategies and advertising, cultural and social factors, market challenges and opportunities, management and organizational processes, distribution and sales network, and competitive pricing. ,. From competitive analysis and identifying market trends to developing new products and using natural materials, all these factors can help optimize marketing strategies. Furthermore, adapting to different cultures and understanding local needs can play a significant role in the success of marketing strategies. Additionally, the use of new technologies and optimization of managerial processes can improve customer relationship management and increase productivity. Ultimately, analyzing consumer behavior and identifying new opportunities can help identify and exploit market opportunities and lead to the sustainable growth and development of Iranian companies in international markets.