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New short video by The John 10:10 Project discusses design and the incredible set of adaptations for aquatic life exhibited by humpback whales
Organized by the Center for Science and Culture, the 2022 Summer Seminar program will be offered both in person and online.
Heating and cooling of magma (liquid rock) is an important topic of research for those studying igneous (granitic/volcanic type) rocks. One piece of the puzzle is understanding the role of magma movement, and the associated flow of heat by convection, in a magma chamber, although whether large magma chambers even exist is a significant point of discussion in the igneous petrology community. Dr. Carlos Zambra and Dr. Luciano González recently published a paper funded through the Geoscience Research Institute that does some computer modeling of these processes for a selected granitic body in Peru.
At the time of the writing of this article the earth remains the only place in the universe where humans have been able to empirically detect life and its signatures. Why is it so? Is the earth special?
Seeking Understanding - Martin Klingbeil
For Martin Klingbeil, the Berlin Wall was an immovable landmark that permanently separated him from neighbors in the same city. When the wall fell and Germany was reunited, history unfolded before his eyes leading to a life-long fascination with history and what we can know about the people and events of the past. But history can be challenging, particularly to a Bible-believer. On the one hand, the physical evidence left in history's wake can make the Bible come alive, but what about events recorded in detail for which physical evidence has not been found in the present? Do dramatic stories like the slaying of Goliath by a boy named David wielding a sling really sound credible in the current age? And what happens when the academic consensus swings against the very existence of towering figures like King David in Scripture? Dr. Klingbeil addresses these questions and others in this fascinating episode of the Seeking Understanding series, which was filmed in Switzerland, South Africa, Israel and the United States.
Seeking Understanding - Leonard Brand
How do Bible-believing scientists think about data differently? Dr. Brand served for many years as chair of the Earth and Biological Sciences Department at Loma Linda University. With a PhD in evolutionary biology from Cornell University, he understands the Darwinian evolutionary view of origins, and his extensive record of peer reviewed scientific publications gives proof of his excellence as a scientist. In addition to other books, Dr. Brand is an author of "Faith, Reason and Earth History," possibly the best book available on faith and science from a biblical perspective. This widely used textbook is available as a free e-book for anyone who wishes to have a copy and can be downloaded in English and Spanish without cost from the Geoscience Research Institute webpage: https://www.grisda.org/faith-reason-and-earth-history In this episode of the "Seeking Understanding" series, Dr. Brand gives the lowdown on how scientists who are Christians look at the same evidence as those committed to a materialistic view of reality and use the same techniques. The difference he advocates is the use of multiple competing hypotheses to explain data, rather than commitment to interpretation within a given worldview. This leads to some very interesting science!
Christians on Science
Why is it that when it comes to the big questions on origins (e.g., how did the universe come to be, how did life first appear on Earth, where do humans come from?) there are radically different interpretations of the same data? Learn more from this short video about naturalism and the approach of Christian scientists to the study of nature.
Automatic Classification of Plutonic Rocks with Machine Learning Applied to Extracted Shades and Colors on iOS Devices
Machine learning is a powerful approach to automatic classification of rocks. A recent paper by Alférez et al., which includes GRI Scientist Dr. Ben Clausen among its authors, applies machine learning algorithms to extract color information from images of four categories of plutonic rocks, and for subsequent classification on mobile device applications.