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INTRODUCTION The phenomenon of organizational insentience has been one of the main challenges in recent years and refers to a situation in which the employees of an organization have become indifferent to their organizational environment. The current research was conducted to investigate the causes and contexts of the formation of organizational insentience in the Red Crescent Society of Tehran province, Iran. METHODS: This applied study was conducted based on the descriptive-correlation method of data collection. The statistical population of this research included all the managers of Red Crescent Society in Tehran province in 2021. The samples (n=90) were selected using Cochran's statistical formula and stratified random sampling. The required data were collected using a researcher made organizational insentience questionnaire. The validity and reliability of the questionnaire were checked and confirmed. The collected data were analyzed in Smart PLS software using structural equation modeling with partial least squares approach. FINDINGS: The results of the research showed that causal conditions had a direct, positive, and significant effect on the central category with a standard beta coefficient of 0.725, t=17.625, and P=0.001 at the level of one percent error. Moreover, contextual conditions with a beta coefficient of 0.410, t=3.107, and P=0.002 had a direct, positive, and significant effect on the category of strategies at the level of one percent error. Intervening conditions had a direct, positive, and significant effect on strategies at the level of one percent error (standard beta coefficient=0.221, t=3.008, and P=0.003). The central category had a direct, positive, and significant effect on the strategy category with a beta coefficient of 0.334, t=2.282, and P=0.023 at the five percent error level. Based on the results, at one percent error level, the strategies presented in the research had a direct, positive, and significant effect on the outcomes (standard beta coefficient=0.347, t=3.769, and P=0.000). In total, the results showed the existence of organizational insentience in the Red Crescent Society of Tehran province, which can be reduced by applying appropriate methods. CONCLUSION: According to the findings, by reducing the sense of meaninglessness, double standards, eliminating organizational discrimination, applying appropriate procedures in strategies and their implementation, paying attention to the structural dimensions of the Red Crescent Society in Tehran province, and implementing meritocracy management, it would be possible to increase organizational social capital, the level of interest, commitment, and responsibility of employees towards the Society and work, organizational independence, organizational justice, the atmosphere of trust, and supportive behaviors from the Society and employees. By adopting these measures, a step would be taken toward preventing the formation of organizational insentience in the Red Crescent Society of Tehran province.

Heart failure is a severe medical ailment that significantly impacts patients’ well-being and the healthcare system. For improved results, early detection and immediate treatment are essential. This work aims to develop and evaluate predictive models by applying sophisticated ensemble learning techniques. In order to forecast heart failure, we used a clinical dataset from Kaggle. We used the well-known ensemble techniques of bagging and random forest (RF) to create our models. With a predicted accuracy of 82.74%, the RF technique, renowned for its versatility and capacity to handle complex data linkages, fared well. The bagging technique, which employs several models and bootstrapped samples, also demonstrated a noteworthy accuracy of 83.98%. The proposed model achieved an accuracy of 90.54%. These results emphasize the value of group learning in predicting cardiac failure. The area under the ROC curve (AUC) was another metric to assess the model’s discriminative ability, and our model achieved 94% AUC. This study dramatically improves the prognostic modeling for heart failure. The findings have extensive implications for clinical practice and healthcare systems and offer a valuable tool for early detection and intervention in cases of heart failure.

In the 21st century, the meaning of places is essential to people. Meanings have gained symbolic importance through tourism heritage. Tourism is a powerful force  in shaping the world and our understanding of different cultures, people, and  places. This research investigates the complexities of religious tourism and the  management of religious destinations. It obtains criteria for managing religious  goals with a detailed look and uses the descriptive-analytical method based on  library documents and the opinion of research experts. Then, using research experts  and ISM-PLS hybrid approach, a three-level framework for managing religious  goals in Yazd city has been presented and analyzed. The results showed that the  government's decisions and actions were the most effective criteria. The ultimate  goal was to create a sense of trust and security among religious tourists. It is hoped  that the findings of this research will be a starting point for managing religious  tourism destinations and a guide for examining the complexities of Islamic tourism  destinations and their management.