Faylasū al-ʻArab: al-Kindī -- al-Muʻallim al-thānī: al-Fārābī -- al-Shāʻir al-ḥakīm: al-Mutanabbī -- Baṭalīmūs al-ʻArab: Ibn al-Haytham -- Shaykh al-Islām: Ibn Taymīyah.

A contemporary to Thomas Aquinas in Latin Catholic Italy, and with a parallel motivation to stabilize each his own civilization in its flux and storm, 'Abd Allah Baydawi of Ilkhan Persia wrote a compact and memorable Arabic Summation of Islamic Natural and Traditional Theology. With the same strokes of his pen he presented the Islamic version of the Science of Theological Statement, bafflingly called "Kalam" while familiarly embracing "Theology". Baydawi's Tawali'al-Anwar min Matal'al-Anzar (Rays of Dawnlight Outstreaming from Far Horizons of (...) Logical Reasoning), with Mahmud Isfahani's commentary, is a formidably clear logical and mental vision of mankind's final completion as a spiritual structure in Islam. Reality - in nature's Possible mode, in an apodictic Divine mode, and in humanity's heroic Prophetic mode - comprises man's Worldview and is the Theme of the Baydawi/Isfahani discourse. The Edifice of Man and Humanity's evanescent Evidence within it are both hugely arresting and moving. The print edition is available as a set of two volumes (9789004121027). (shrink)

Faith and reason; Islam; Islamic philosophy.

Standard introduction to Islamic philosophy.

Thoughts of Haji Abdul Malik Karim Amrullah, a prominent Indonesian author and ulama, on Islamic ethics.

This study presents the circuitous route taken in an attempt to identify an assessment mechanism for evaluating the impact of STS courses. After initially developing a survey that faculty felt only allowed for the measurement of student opinions about the impact of required STS general education courses, the faculty at Clemson University identified Aikenhead and Ryan's Views on Science-Technology-Society (VOSTS) as an instrument that, when used with the scoring guide created in this project, might be able to assess the sophistication (...) of students views about science and technology in society. The results from administering the pre- and post-VOSTS surveys in one STS course revealed no significant differences when comparing the sophistication of students' views about STS before and after the course. These findings demonstrate that, among other considerations discussed in the manuscript, it will be difficult to find a way of assessing STS courses that can be used for the diverse courses meeting the requirement. (shrink)

Radiography images are widely utilized in the health sector to recognize the patient health condition. The noise and irrelevant region information minimize the entire disease detection accuracy and computation complexity. Therefore, in this study, statistical Kolmogorov–Smirnov test has been integrated with wavelet transform to overcome the de-noising issues. Then the cat swarm-optimized deep belief network is applied to extract the features from the affected region. The optimized deep learning model reduces the feature training cost and time and improves the overall (...) disease detection accuracy. The network learning process is enhanced according to the AdaDelta learning process, which replaces the learning parameter with a delta value. This process minimizes the error rate while recognizing the disease. The efficiency of the system evaluated using image retrieval in medical application dataset. This process helps to determine the various diseases such as breast, lung, and pediatric studies. (shrink)