Alien Registration- Bourbeau, Gratia E. (Greenville, Piscataquis County)

https://digitalmaine.com/alien_docs/10043/thumbnail.jp

KORELASI ANTARA TEGANGAN GESER DAN NILAI CBR PADA TANAH LEMPUNG DENGAN BAHAN CAMPURAN SEMEN

Tanah secara umum terdiri dari tiga unsur yaitu butiran tanahnya sendiri serta air dan udara. Kekuatan tanah untuk memikul beban sangatlah menunjang dalam kestabilan suatu struktur bangunan dimana tanah sebagai dasar perkuatan dari struktur bangunan harus memiliki kapasitas dukung dan kuat geser yang tinggi. Sehingga apabila ada kondisi tanah yang buruk maka dapat melakukan stabilisasi tanah. Stabilisasi tanah dapat memperbaiki sifat-sifat fisik tanah. Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh perubahan kuat geser dan nilai CBR pada tanah lempung yang ada di area desa Kalawat setelah distabilisasi dengan semen.Dari uji pemadatan dengan proctor didapatkan nilai ϒdmax = 1,7 kg/cm3 dan ωopt = 23,25 %, dan dari uji CBR rendaman pada campuran 0% semen didapat nilai CBR sebesar 5,6585 %  dan terus mengalami peningkatan hingga pada campuran 10% sebesar 14,339 %, dan dari hasil uji triaksial didapat nilai kohesi pada campuran 0% semen = 2,5 t/m2 terus meengalami peningkatan sampai pada campuran 8% semen = 5,0 t/m2 dan kembali turun pada campuran 10% menjadi 3,8 t/m2, nilai sudut geser dalam tanah pada 0% semen sebesar φ = 16,0⁰ meningkat menjadi φ = 25,3⁰ pada campuran 8% semen dan kembali turun pada campran 10% = 19⁰, dan pada nilai tegangan geser terus mengalami peningkatan yang awalnya 3,0216 t/m2 pada campuran 0% semen menjadi 6,6587 t/m2 pada campuran 10% semen.                                                            Kata kunci : Tanah Lempung, Stabilisasi, CBR, Kuat Geser, Semen, Procto

Cosmological solutions of massive gravity on de Sitter

In the framework of the recently proposed models of massive gravity, defined with respect to a de Sitter reference metric, we obtain new homogeneous and isotropic solutions for arbitrary cosmological matter and arbitrary spatial curvature. These solutions can be classified into three branches. In the first two, the massive gravity terms behave like a cosmological constant. In the third branch, the massive gravity effects can be described by a time evolving effective fluid with rather remarkable features, including the property to behave as a cosmological constant at late time.Comment: 6 pages, 1 figure; discussion extended, a few references added, improved analysis in Section

Past, present and future mathematical models for buildings (i)

This is the first of two articles presenting a detailed review of the historical evolution of mathematical models applied in the development of building technology, including conventional buildings and intelligent buildings. After presenting the technical differences between conventional and intelligent buildings, this article reviews the existing mathematical models, the abstract levels of these models, and their links to the literature for intelligent buildings. The advantages and limitations of the applied mathematical models are identified and the models are classified in terms of their application range and goal. We then describe how the early mathematical models, mainly physical models applied to conventional buildings, have faced new challenges for the design and management of intelligent buildings and led to the use of models which offer more flexibility to better cope with various uncertainties. In contrast with the early modelling techniques, model approaches adopted in neural networks, expert systems, fuzzy logic and genetic models provide a promising method to accommodate these complications as intelligent buildings now need integrated technologies which involve solving complex, multi-objective and integrated decision problems

Past, present and future mathematical models for buildings (ii)

This article is the second part of a review of the historical evolution of mathematical models applied in the development of building technology. The first part described the current state of the art and contrasted various models with regard to the applications to conventional buildings and intelligent buildings. It concluded that mathematical techniques adopted in neural networks, expert systems, fuzzy logic and genetic models, that can be used to address model uncertainty, are well suited for modelling intelligent buildings. Despite the progress, the possible future development of intelligent buildings based on the current trends implies some potential limitations of these models. This paper attempts to uncover the fundamental limitations inherent in these models and provides some insights into future modelling directions, with special focus on the techniques of semiotics and chaos. Finally, by demonstrating an example of an intelligent building system with the mathematical models that have been developed for such a system, this review addresses the influences of mathematical models as a potential aid in developing intelligent buildings and perhaps even more advanced buildings for the future

The Orbit and Mass of the Third Planet in the Kepler-56 System

While the vast majority of multiple-planet systems have their orbital angular momentum axes aligned with the spin axis of their host star, Kepler-56 is an exception: its two transiting planets are coplanar yet misaligned by at least 40 degrees with respect to their host star. Additional follow-up observations of Kepler-56 suggest the presence of a massive, non-transiting companion that may help explain this misalignment. We model the transit data along with Keck/HIRES and HARPS-N radial velocity data to update the masses of the two transiting planets and infer the physical properties of the third, non-transiting planet. We employ a Markov Chain Monte Carlo sampler to calculate the best-fitting orbital parameters and their uncertainties for each planet. We find the outer planet has a period of 1002 $\pm$ 5 days and minimum mass of 5.61 $\pm$ 0.38 Jupiter masses. We also place a 95% upper limit of 0.80 m/s/yr on long-term trends caused by additional, more distant companions.Comment: 7 pages, 1 figure, 2 tables; accepted for publication in AJ. Minor edits made after referee repor

Prospect and potential of Burkholderia sp. against Phytophthora capsici Leonian: a causative agent for foot rot disease of black pepper

Foot rot disease is a very destructive disease in black pepper in Malaysia. It is caused by Phytophthora capsici Leonian, which is a soilborne pathogenic protist (phylum, Oomycota) that infects aerial and subterranean structures of many host plants. This pathogen is a polycyclic, such that multiple cycles of infection and inoculum production occur in a single growing season. It is more prevalent in the tropics because of the favourable environmental conditions. The utilization of plant growth-promoting rhizobacteria (PGPR) as a biological control agent has been successfully implemented in controlling many plant pathogens. Many studies on the exploration of beneficial organisms have been carried out such as Pseudomonas fluorescens, which is one of the best examples used for the control of Fusarium wilt in tomato. Similarly, P. fluorescens is found to be an effective biocontrol agent against the foot rot disease in black pepper. Nowadays there is tremendous novel increase in the species of Burkholderia with either mutualistic or antagonistic interactions in the environment. Burkholderia sp. is an indigenous PGPR capable of producing a large number of commercially important hydrolytic enzymes and bioactive substances that promote plant growth and health; are eco-friendly, biodegradable and specific in their actions; and have a broad spectrum of antimicrobial activity in keeping down the population of phytopathogens, thus playing a great role in promoting sustainable agriculture today. Hence, in this book chapter, the potential applications of Burkholderia sp. to control foot rot disease of black pepper in Malaysia, their control mechanisms, plant growth promotion, commercial potentials and the future prospects as indigenous PGPR were discussed in relation to sustainable agriculture

Alien Registration- Bourbeau, Gratia E. (Greenville, Piscataquis County)

https://digitalmaine.com/alien_docs/10043/thumbnail.jp