Jembatan Box Girder Segmental

Box girder bridge in Indonesia, including new. The intent and purpose of this thesis is to plan the bridge box girder structure. Where bridges with spans plan along 310 m with 2 pillars and different pillar heights. Because there are differences in the height of this bridge inspected by stiffnes balance method to locate deviation and shakes the same time so strong pillar and not collapse. Planning earthquake loads based on the latest regulations (SNI 03-2833-2008 Earthquake Resistance Evaluation Standards for Bridge). Analysis of bridge structures using SAP program. The bottom structure which includes abutment and foundation broom method to determine the shear boundary. The conclusion that can be drawn is necessary to balance stiffnes to know the exact dimensions of the pillars of that bridge is on it can stand firmly. Plastic hinge to determine the maximum acceptable shear pillar and foundation to determine the shear foundation failure not to occur, which can lead to the destruction of the structure

Studi Eksperimental Pengaruh Penambahan Abu Sekam Padi Nano Dan Bahan Tambah Superplasticizer Terhadap Kuat Tekan Beton

This research aimed to investigate effect of using nano materials rice husk ash and superplasticizer admixture to concrete compressive strength. Nano rice husk ash used as subtitute of pozzolan portland cement. Production of nano rice husk ash use Planetary Ball Milling with duration of milling for 1 hour. To determine effect of using nano materials rice husk ash dan superplasticizer admixture used variation percentage of materials nano rice husk ash such ash 5%, 10%, and 15% with or without superplasticizer admixture. Tests were conducted at 28 days with uniaxial loading (one-way). Result of this research indicate normal concrete without substitution of nano rice husk ash and without superplasticizer have highest of concrete compressive strength. Concrete with rice husk ash decreased in compressive strength because of rice husk ash absorb much water and increase the length of hydration process of cement in concrete mix. Although there is a decrease through this research is expected, nano techonology in civil engineering can more developed

Synthesis and Evaluation of Tripodal Peptide Analogues for Cellular Delivery of Phosphopeptides

Tripodal peptide analogues were designed on the basis of the phosphotyrosine binding pocket of the Src SH2 domain and assayed for their ability to bind to fluorescein-labeled phosphopeptides. Fluorescence polarization assays showed that a number of amphipathic linear peptide analogues (LPAs), such as LPA4, bind to fluorescein-labeled GpYEEI (F-GpYEEI). LPA4 was evaluated for potential application in cellular delivery of phosphopeptides. Fluorescence microimaging cellular uptake studies with fluorescein-attached LPA4 (F-LPA4) alone or with the mixture of LPA4 and F-GpYEEI in BT-20 cells showed dramatic increase of the fluorescence intensity in cytosol of cells, indicating that LPA4 can function as a delivery tool of F-GpYEEI across the cell membrane. Fluorescent flow cytometry studies showed the cellular uptake of F-LPA4 in an energy-independent pathway and confirmed the cellular uptake of F-GpYEEI in the presence of LPA4. These studies suggest that amphipathic tripodal peptide analogues, such as LPA4, can be used for cellular delivery of phosphopeptides

Selenoprotein P Influences Colitis-Induced Tumorigenesis by Mediating Stemness and Oxidative Damage.

Patients with inflammatory bowel disease are at increased risk for colon cancer due to augmented oxidative stress. These patients also have compromised antioxidant defenses as the result of nutritional deficiencies. The micronutrient selenium is essential for selenoprotein production and is transported from the liver to target tissues via selenoprotein P (SEPP1). Target tissues also produce SEPP1, which is thought to possess an endogenous antioxidant function. Here, we have shown that mice with Sepp1 haploinsufficiency or mutations that disrupt either the selenium transport or the enzymatic domain of SEPP1 exhibit increased colitis-associated carcinogenesis as the result of increased genomic instability and promotion of a protumorigenic microenvironment. Reduced SEPP1 function markedly increased M2-polarized macrophages, indicating a role for SEPP1 in macrophage polarization and immune function. Furthermore, compared with partial loss, complete loss of SEPP1 substantially reduced tumor burden, in part due to increased apoptosis. Using intestinal organoid cultures, we found that, compared with those from WT animals, Sepp1-null cultures display increased stem cell characteristics that are coupled with increased ROS production, DNA damage, proliferation, decreased cell survival, and modulation of WNT signaling in response to H2O2-mediated oxidative stress. Together, these data demonstrate that SEPP1 influences inflammatory tumorigenesis by affecting genomic stability, the inflammatory microenvironment, and epithelial stem cell functions

BESC knowledgebase public portal†

The BioEnergy Science Center (BESC) is undertaking large experimental campaigns to understand the biosynthesis and biodegradation of biomass and to develop biofuel solutions. BESC is generating large volumes of diverse data, including genome sequences, omics data and assay results. The purpose of the BESC Knowledgebase is to serve as a centralized repository for experimentally generated data and to provide an integrated, interactive and user-friendly analysis framework. The Portal makes available tools for visualization, integration and analysis of data either produced by BESC or obtained from external resources

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery