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AGRICULTURAL SUSTAINABILITY UNDER CLIMATE VARIABILITY: COUPLING CROP PHYSIOLOGY WITH PREDICTIVE STATISTICAL MODELS Suzuki, Ren; Gonzales, Samantha; Harris, Oliver
Research of Scientia Naturalis Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i1.3547

Abstract

Agricultural systems are increasingly challenged by climate variability, which disrupts crop productivity and threatens long-term sustainability. Existing approaches often separate physiological understanding from predictive modeling, limiting their ability to capture the complexity of crop responses to environmental stress. This study aims to develop an integrative framework that couples crop physiological processes with predictive statistical models to improve the accuracy and interpretability of agricultural sustainability assessments. A mixed-methods design was employed, combining field-based physiological measurements with advanced statistical and machine learning modeling. Data were collected across multiple agricultural sites, including climatic variables, soil conditions, and key physiological indicators such as photosynthetic rate, stomatal conductance, and water-use efficiency. Predictive models were developed and evaluated using regression analysis and machine learning techniques with cross-validation procedures. Results indicate that models incorporating physiological variables significantly outperform those based solely on climatic data in predicting crop yield. Physiological indicators function as critical mediators between environmental stress and productivity, enhancing both predictive accuracy and explanatory depth. Nonlinear modeling approaches further improve performance by capturing complex interactions among variables. Findings demonstrate that integrating crop physiology with predictive modeling provides a robust framework for understanding and managing agricultural systems under climate variability. This approach supports more adaptive and sustainable agricultural strategies.
THE INFLUENCE OF ISLAMIC PHILOSOPHY ON WESTERN INTELLECTUAL TRADITION: A HISTORICAL PERSPECTIVE Aksan, Sahjad M.; Gonzales, Samantha; Flores, Josefa
Journal of Noesantara Islamic Studies Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnis.v3i2.3653

Abstract

The historical narrative of Western intellectual development often obscures the profound contributions of Islamic philosophy, frequently reducing the Islamic Golden Age to a mere preservation period for Hellenistic thought. This research aims to re-evaluate the specific mechanisms and depth of Islamic influence on the Western intellectual tradition, specifically during the Scholastic revolution. A qualitative historical-philosophical design was employed, utilizing hermeneutic analysis and diachronic mapping of primary Arabic texts and their subsequent Latin translations. Findings reveal that Muslim polymaths like Ibn Sina and Ibn Rushd were not passive conduits but original innovators who provided the metaphysical and logical scaffolding for Western Scholasticism. The study identifies a systematic “transcultural synthesis” where Islamic rationalism fundamentally restructured European epistemology, particularly regarding the distinction between essence and existence and the development of empirical methodologies. This research concludes that the Western philosophical canon is a hybrid construct deeply rooted in Islamic intellectual labor, necessitating a decolonized approach to the history of ideas. Recognizing this shared heritage challenges Eurocentric biases and promotes a more inclusive understanding of global human progress.