305 research outputs found

    Effect of Cement Stabilization on Shear Strength Parameters of Soft Soils on Agricultural Road

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    Agricultural roads play a crucial role in facilitating transportation in agricultural regions, including horticulture, smallholder farms and plantations. However, the agricultural roads in Sungai Balang, Muar face challenges due to the poor condition of the soft soil. Soft soil is characterized by low shear strength, high compressibility and large settlements, making it unsuitable for efficient road infrastructure. To address these issues, cement stabilization has been proposed in this study as a potential solution to improve the soft soil on agricultural roads in the paddy field area of Sungai Balang. The objectives of this study are to identify the classification of the soft soil on agricultural roads in Sungai Balang through grain size analysis, moisture content test, specific gravity test, Atterberg limit test and standard proctor compaction test and to determine the effectiveness of cement stabilization through direct shear test. The direct shear test was carried out to evaluate the shear strength parameters of the soil on the agricultural roads before and after the addition of different percentages of cement (5%, 10% and 15% by dry weight of the soft soil). The results of soil classification showed that the soft soil on agricultural roads in Sungai Balang was classified as MH, which was silty soil with high plasticity. Besides, the results of direct shear test indicated that the 15% cement specimen achieved the optimum percentages compared to the others. The friction angle of the 15% cement specimen had increased from 28o to 43o and the cohesion had increased from 28.33 kPa to 85.00 kPa compared to the untreated soil samples. By studying the effects of different percentages of cement on soil settlements, the research provides insights into the performance and suitability of cement stabilization in enhancing the stability and strength of soft soils on agricultural roads

    Geotechnical Properties of Malaysian Organic Soils: Case Study in Batu Pahat, Johor

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    Subsurface exploration is required before any development project in order to gain an understanding of the characteristics of the material that one will encounter. The type of the tests and exploration are normally specified based on the design requirement in accordance to respective code of practice. In general, the physical properties and strength of the material are important in civil engineering applications. However, the chemical contents and organic contents are only specified sometimes when necessary despite the fact that the physical and strength of the material are closely related to its chemical properties and organic contents. In most construction works, the top soil and peat soil which are highly organic will be removed prior to carrying out construction work which resulted in exposing the bottom layer of soil. Hence, the aim of this study is to determine the geotechnical properties of the organic soils at the interface layer of peat soil and inorganic soil which normally exposed after removing top soil and peat soil at the surface. The physical & chemical properties, strength and organic contents of the soils are determined in accordance to the BS1377:1990 and BS ISO 13320:2009. Three locations which are identified to be rich in organic soils namely Parit Nipah, Parit Sidek and Batu Puteh of Batu Pahat, were chosen in this case study. These locations are found to be difference geographically. The soil samples were collected using a peat auger at Parit Nipah and Batu Puteh while undisturbed tube sampler was used at Parit Sidek because the soil is too stiff to be sampled using peat auger. The findings of this study showed that the physical properties of the soil are strongly correlated with its organic content. However, the chemical properties and strength of the soil is found to be site dependent and poorly correlated to its organic content.    &nbsp

    Long-Baseline Neutrino Facility (LBNF) and Deep Underground Neutrino Experiment (DUNE) Conceptual Design Report Volume 2: The Physics Program for DUNE at LBNF

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    The Physics Program for the Deep Underground Neutrino Experiment (DUNE) at the Fermilab Long-Baseline Neutrino Facility (LBNF) is described

    Bright light-emitting diodes based on organometal halide perovskite.

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    Solid-state light-emitting devices based on direct-bandgap semiconductors have, over the past two decades, been utilized as energy-efficient sources of lighting. However, fabrication of these devices typically relies on expensive high-temperature and high-vacuum processes, rendering them uneconomical for use in large-area displays. Here, we report high-brightness light-emitting diodes based on solution-processed organometal halide perovskites. We demonstrate electroluminescence in the near-infrared, green and red by tuning the halide compositions in the perovskite. In our infrared device, a thin 15 nm layer of CH3NH3PbI(3-x)Cl(x) perovskite emitter is sandwiched between larger-bandgap titanium dioxide (TiO2) and poly(9,9'-dioctylfluorene) (F8) layers, effectively confining electrons and holes in the perovskite layer for radiative recombination. We report an infrared radiance of 13.2 W sr(-1) m(-2) at a current density of 363 mA cm(-2), with highest external and internal quantum efficiencies of 0.76% and 3.4%, respectively. In our green light-emitting device with an ITO/PEDOT:PSS/CH3NH3PbBr3/F8/Ca/Ag structure, we achieved a luminance of 364 cd m(-2) at a current density of 123 mA cm(-2), giving external and internal quantum efficiencies of 0.1% and 0.4%, respectively. We show, using photoluminescence studies, that radiative bimolecular recombination is dominant at higher excitation densities. Hence, the quantum efficiencies of the perovskite light-emitting diodes increase at higher current densities. This demonstration of effective perovskite electroluminescence offers scope for developing this unique class of materials into efficient and colour-tunable light emitters for low-cost display, lighting and optical communication applications.This is the author accepted manuscript and will be under embargo until 3/2/15. The final version is published in Nature Nanotechnology: http://www.nature.com/nnano/journal/vaop/ncurrent/full/nnano.2014.149.html

    Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

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    Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

    Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

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    This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

    Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

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    Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

    Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

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    Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

    Feedback within the Inter-Cellular Communication and Tumorigenesis in Carcinomas

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    The classical somatic mutation theory (SMT) of carcinogenesis and metastasis postulates that malignant transformation occurs in cells that accumulate a sufficient amount of mutations in the appropriate oncogenes and/or tumor suppressor genes. These mutations result in cell-autonomous activation of the mutated cell and a growth advantage relative to neighboring cells. However, the SMT cannot completely explain many characteristics of carcinomas. Contrary to the cell-centered view of the SMT with respect to carcinogenesis, recent research has revealed evidence that the tumor microenvironment plays a role in carcinogenesis as well. In this review, we present a new model that accommodates the role of the tumor microenvironment in carcinogenesis and complements the classical SMT. Our “feedback” model emphasizes the role of an altered spatiotemporal communication between epithelial and stromal cells during carcinogenesis: a dysfunctional intracellular signaling in tumorigenic epithelial cells leads to inappropriate cellular responses to stimuli from associated stromal or inflammatory cells. Thus, a positive feedback loop of the information flow between parenchymal and stromal cells results. This constant communication between the stromal cells and the tumor cells causes a perpetually activated state of tumor cells analogous to resonance disaster
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