درخت حوزه‌های تخصصی

SUBJECT & OBJECTIVES : This research explored the concept of human perfection through the lenses of Ibn Arabi’s Mysticism and Theravada Buddhism Mysticism. The aim was to create a dialogue between Buddhism and Ibn Arabi's mysticism, and to shed light on the similarities and differences in their perspectives on human perfection. METHOD & FINDING : This research presented a comparative research study of the profound mystical teachings of Ibn Arabi, a renowned Sufi mystic, and Theravada Buddhism, the oldest existing school of Buddhism. The study examined the nature of self, the significance of the spiritual journey, and the role of love  in both traditions. This study found that in the approach of the perfect human from Ibn Arabi's viewpoint, a individual achieves unity with the divine; While Theravada Buddhism seeks human perfection through the attainment of the Arhat, a liberated being free from suffering and ignorance. CONCLUSION : The study offered a comprehensive understanding of human perfection from Ibn Arabi's and Buddhist mystical perspectives, and revealed that both traditions challenge the conventional understanding of self and advocate for a transcendent perspective that seeks to realize the ultimate reality of existence. The study also showed that both traditions have different metaphysical and ontological assumptions, as well as different methods and practices of meditation and contemplation. Finally, concluded that the comparative study of Ibn Arabi’s Mysticism and Theravada Buddhism Mysticism can enhance dialogue and understanding, as well as provide insights into the nature of human existence.

Identification of persistence component of inflation and prediction about future inflation structure is a crucial ingredient of an inflation targeting strategies or other related monetary policies. Monetary policy makers perform this task by extracting the measure known as “core inflation”. This measure is a good indicator for tracking trend of inflation and forecasting future inflation. Measures of core inflation was developed by using wavelet methods in our research. The maximum overlap discrete wavelet transformation (MOWT) and multi resolution analysis (MRA) methods are performed for extracting core inflation in period 1381(1)-1400(3) in Iran by monthly data. Using this methods is relatively new in the literature and are ideally appropriated for this task. The best wavelet in each wavelet families choose in accordance with Shannon entropy and logarithm of energy. On the other hand the properties of wavelet-based core inflation measure was evaluated by some tests. The results reveal that our new measure is more superior to the traditional approaches that used in previous studies in Iran.