Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict effect of oxygen consumption of thylakoid membranes (chloroplasts) from spinach after inhibition. A number of factors were identified that may affect of oxygen consumption of thylakoid membranes from spinach. Factors such as curve, herbicide, dose, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some inhibition of photosynthesis in farms. (...) The evaluation of testing the dataset shows that the ANN model is capable of correctly predicting the effect of oxygen consumption of thylakoid membranes (chloroplasts) from spinach after inhibition with 100% accuracy. (shrink)

This study presents a neural network-based model for predicting smoke potential in a specific area using a Kaggle-derived dataset with 15 environmental features and 62,631 samples. Our five-layer neural network achieved an accuracy of 89.14% and an average error of 0.000715, demonstrating its effectiveness. Key influential features, including temperature, humidity, crude ethanol, pressure, NC1.0, NC2.5, SCNT, and PM2.5, were identified, providing insights into smoke occurrence. This research aids in proactive smoke mitigation and public health protection. The model's accuracy and feature (...) analysis empower decision-makers, with potential applications in real-time smoke event monitoring and preparedness strategies. This work contributes to the field of air quality forecasting and environmental stewardship, offering a data-driven approach to address smoke-related challenges and enhance community well-being. (shrink)

Contemporary Islam presents Europe in particular with a political and moral challenge: Moderate-progressive Muslims and radical fundamentalist Muslims present differing visions of the relation of politics and religion and, consequently, differing interpretations of freedom of expression. There is evident public concern about Western “political correctness,” when law or policy accommodates censorship of speech allegedly violating religious sensibilities. Referring to the thought of philosopher Baruch Spinoza, and accounting for the Universal Declaration of Human Rights, the Universal Islamic Declaration of Human Rights, (...) and various empirical studies on the religious convictions of Muslims, it is argued here that: (1) sovereign European state powers should be especially cautious of legal censorship of speech allegedly violating Muslim religious sensibilities; and (2) instead of legal moves to censorship, European states should defer to the principle of separation of religion and state (political authority). Further, a reasonable interpretation of Islamic jurisprudence allows that matters of religious difference may be engaged and resolved by appeal to private conscience and ethical judgment, rather than by appeal to public law per se. In so far as they are 1 representative of contemporary scholarship, the interpretative positions of Ziad Elmarsafy, Jacques Derrida, and Nasr Abū Zayd are presented in illustration of this latter point. (shrink)