Eskatologi Dalam Teks Geguritan Atma Prasangsa (Kajian Teks dan Konteks)

<p><em>Hindu talks much about heaven and hell differently from other religion’s explanation. Heaven and hell are closely related and integrated with Karma. Stories in some puranas discuss much about this escatology. On of the text in Indonesia talking much about this is Geguritan Atma prasangsa. This work descriptively describes in detail about heaven and hell, how a man can come to into heaven or hell, what happenes with the soul coming into hell, what kind of penalty applied, and also the principals. This texs tells in good sequences type of death including those wich cause the soul unable to find its way home. The texs also tells about how the soul screamed for being tortured the by the hell authority. And also the kind of perceived by the soul in heaven. How long a soul should be punished in hell or enjoy the heaven before finally reincarnated back to the word. After all joys and miseries experienced by the soul in accordance with their conducts during life finished, the soul sould be reincarnated to continue the journey.</em></p>

ANALISIS STRUKTUR TEKS EKSPOSISI PADA KARYA SISWA KELAS X ADMINISTRASI PERKANTORAN SMK NEGERI 1 JAMBI

The purpose of this research is to describe the students ability in writing exposition text at class XAdministrasi Perkantoran 1 SMK Negeri 1 Kota Jambi Academic Year 2017/2018. This research is qualitative descriptive. The primary data of the research is students exposition text. The data is collected by using documentation technique. The sample is taken by using simple random sampling technique. The result of the research shows that there are 24 students who wrote exposition text by using good thesis structure, there are 27 students who wrote exposition text by using good sequences of argument, and there are 27 students who wrote exposition text by using good repetition. Based on the result of the research, it can be concluded that, in general, students ability in writing exposition text at class XAdministrasi Perkantoran 1 SMK Negeri 1falls into good criteria. Key Words: exposition text, texts structure

Weighted Birkhoff ergodic theorem with oscillating weights

We consider sequences of Davenport type or Gelfond type and prove that sequences of Davenport exponent larger than$\frac{1}{2}$are good sequences of weights for the ergodic theorem, and that the ergodic sums weighted by a sequence of strong Gelfond property are well controlled almost everywhere. We prove that for any$q$-multiplicative sequence, the Gelfond property implies the strong Gelfond property and that sequences realized by dynamical systems can be fully oscillating and have the Gelfond property.

Grappling with Interpreting and Testing People–Landscape Dynamics

This chapter explores how human and natural dynamics of landscape change may be portrayed and tested using both geoarchaeological and GIS-based modelling approaches. Comprehensive sets of well-dated and spatially related archaeological, geoarchaeological, and palaeoenvironmental data are essential prerequisites. In addition to providing visualizations of possible realities, geoarchaeological investigations can ground-truth GIS-based landscape–human interaction models. Together these techniques can both help visualize and interrogate many possible scenarios of change, and allow consideration of other cause–effect relationships of landscape change. More detailed understandings of long-term human and potential future impacts on landscapes should be achievable, especially when coupled with precise environmental and climatic data. Nonetheless, modelling is no substitute for good sequences of palaeoenvironmental data in well understood, culturally shaped landscapes, but it is a valuable tool for aiding interpretation. A number of examples of this kind of application from around the world are presented.

Efficient Planning under Uncertainty with Macro-actions

Deciding how to act in partially observable environments remains an active area of research. Identifying good sequences of decisions is particularly challenging when good control performance requires planning multiple steps into the future in domains with many states. Towards addressing this challenge, we present an online, forward-search algorithm called the Posterior Belief Distribution (PBD). PBD leverages a novel method for calculating the posterior distribution over beliefs that result after a sequence of actions is taken, given the set of observation sequences that could be received during this process. This method allows us to efficiently evaluate the expected reward of a sequence of primitive actions, which we refer to as macro-actions. We present a formal analysis of our approach, and examine its performance on two very large simulation experiments: scientific exploration and a target monitoring domain. We also demonstrate our algorithm being used to control a real robotic helicopter in a target monitoring experiment, which suggests that our approach has practical potential for planning in real-world, large partially observable domains where a multi-step lookahead is required to achieve good performance.