Hasil untuk "Evolution"

H. Innan, F. Kondrashov

P. Keeling, J. Palmer

Michael J. Angilletta, B. S. Cooper, Matthew S. Schuler et al.

R. Lande

D. Futuyma, H. B. Shaffer, D. Simberloff

M. Nei, A. Rooney

I. Petrov, P. Barna, L. Hultman et al.

G. Wagner, L. Altenberg

M. Cody, J. Diamond

W. Hartmann, G. Neukum

R. Wootton

J. Hofbauer

Zbigniew Michalewicz

W. Swanson, V. Vacquier

H. D. Holland, M. Gaffey

In this first full-scale attempt to reconstruct the chemical evolution of the Earth's atmosphere and oceans, Heinrich Holland assembles data from a wide spectrum of fields to trace the history of the ocean-atmosphere system. A pioneer in an increasingly important area of scholarship, he presents a comprehensive treatment of knowledge on this subject, provides an extensive bibliography, and outlines problems and approaches for further research. The first four chapters deal with the turbulent first half billion years of Earth history. The next four chapters, devoted largely to the Earth from 3.9 to 0.6 b.y.b.p., demonstrate that changes in the atmosphere and oceans during this period were not dramatic. The last chapter of the book deals with the Phanerozoic Eon; although the isotopic composition of sulfur and strontium in seawater varied greatly during this period of Earth history, the chemical composition of seawater did not.

Y. Aharonov, J. Anandan

P. Soltis, D. Marchant, Y. Van de Peer et al.

D. Krebs

Fei Yu, Norihito Nakatani, Yiling Hua et al.

By tracing the historical activities of the Japan-China Society of Architecture and Building Technology (JCSABT, 1973–2003), which was established in Japan in 1973, this study firstly provides an overview of the friendly exchange groups visiting China from Japan over a 30-year period. Drawing upon a systematic review of Nichi-Chu Kenchiku [Japan – China Architecture], the official journal of JCSABT, this study delineates the evolving professional concerns and focal themes of Japanese architects engaged in China. The focus gradually shifted from early concerns with the construction of socialist China to an interest in cultural heritage, particularly Chinese vernacular architecture, and later to friendly visits and international exchanges. These shifts reflect the dynamic interplay between political context, architectural evolution, and cultural exchange. The study concludes that beneath the surface of “friendly diplomacy,” China and Japan each pursued distinct agendas. China seeks to learn advanced techniques from Japan, while Japan, faced with pressing issues such as widening urban-rural disparities and environmental crises, endeavours to learn from China’s urban and rural development models. Above all,“architectural diplomacy” played a crucial role in fostering Sino – Japanese friendship. The interplay among state power, architecture, and socioeconomic forces collectively contributed to strengthening bilateral relations in Cold War era.

Heming Jia, Marjan Kordani, Iman Ahmadianfar et al.

Precise forecasting of water quality indices (WQI) is essential for safeguarding ecosystems, human health, and sustainable water resource management. This study presents an innovative approach for evaluating river Water Quality Indices using advanced machine learning methods. The approach combines the least squares support vector machine (LSSVM) with the Sherman–Morrison–Woodbury (SMW) formula and local weighting techniques to improve the model's capacity to identify local trends and nonlinearities. The hybrid model, SMW-LSSVM-R, integrates the advantages of SMW-LSSVM with ridge regression to provide a balanced and resilient predictive framework. The model parameters are improved by a self-adaptive teaching-learning-based differential evolution (SATLDE) method, attaining optimal performance. Additionally, SATLDE is combined with a ridge feature selection model to identify the key input factors and boost accuracy. The model also employs optimized multivariate variational mode decomposition (OMVMD) using SATLDE algorithm to more effectively assess complex data patterns. When the models were tested at two Iranian stations, Farisat and Molasani, the SMW-LSSVM-R model with a testing R value of 0.975 and an RMSE of 0.990, exhibited better performance than the basic and OMVMD-enhanced models. These findings demonstrate the potential of the proposed hybrid model to offer valuable insights into environmental monitoring and management.