2003 Mars Report from Cooperative Observation Networks. I. Pre-Opposition

Bibliogravie Mars 2003

Inferring Network Structure from Observation I: Binary Neural Networks

Inferring network structure from observed data is a useful procedure to study the relation between structure and function networks. For networks with observable dynamics but hidden structure, inference gives the best guess of the underlying connectivity that explains the observed data. For networks with known structure and observable dynamics, inference helps to separate parts of the network th...

Opposition Effect on Itokawa: Preliminary Report from Hayabusa Images

Yokota, M. Ishiguro, A. M. Nakamura, R. Nakamura, D. Tholen, P. Smith, J. Saito, T. Kubota, and T. Hashimoto, Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency (JAXA), Sagamihara, Kanagawa 229-8510, JAPAN ([email protected]), School of Earth Environmental Sciences College of Natural Sciences, Seoul National University, Seoul 151-742, KOREA, **...

Observation of the Martian Cryptic Region from Mars Orbiter Camera

Introduction: The distribution of the Martian south pole is not symmetric during the springtime retreat. On the opposite side of the residual cap a socalled cryptic region is found between latitudes 75 and 85 and longitude 150 W and 310 W [8]. A major puzzle about the cryptic region is that the albedo appears almost as dark as the bare ground but the surface temperature still remains cold. The ...

Challenges of Iran's Rural Cooperative Networks

Introduction Nowadays, agriculture is an economic activity which plays an important role in gross domestic product (GDP) for every country by providing food safety for its people. Agricultural activities can also have side effects on environment. Investment in agriculture section and its impact on this section's output is an important issue which is confirmed by researches and studies in thi...