Effect of Spatial Distribution of Precipitation Data on Temporal and Spactial Uncertainty of Swat Output

Accurate modeling of water quality, water availability, and transport of pollutants at the watershed scale requires an accurate representation of the precipitation data. For this reason, the ability of hydrologic models to predict accurate outputs depends to a great extent on how well the rainfall data is distributed. In general, rainfall intensities can vary in space and time, particularly in convective events. A number of schemes are available to account for temporal and spatial uncertainties of precipitation data. The simplest method is the arithmetic mean, which assumes the rainfall is uniformly distributed over the watershed. The Thiessen polygon method is an improvement over the arithmetic approach, by assigning the record from the closest rain gauge to the unstamped location. The Centroid method is another popular method. The centroid method uses the rain gauge nearest to the centroid of each subbasin. The objectives of this project are (1) to assess the impacts of using different interpolation schemes for incorporating spatially variable precipitation data into the Soil and Water Assessment Tool (SWAT) and (2) assess the impacts of using three levels of subbasin delineation on the streamflow

Entanglement and Bell's inequality violation above room temperature in metal carboxylates

In the present work we show that a special family of materials, the metal carboxylates, may have entangled states up to very high temperatures. From magnetic susceptibility measurements, we have estimated the critical temperature below which entanglement exists in the cooper carboxylate \{Cu$_2$(O$_2$CH)$_4$\}\{Cu(O$_2$CH)$_2$(2-methylpyridine)$_2$\}, and we have found this to be above room temperature ($T_e \sim 630$ K). Furthermore, the results show that the system remains maximally entangled until close to $\sim 100$ K and the Bell's inequality is violated up to nearly room temperature ($\sim 290$ K)

Properties of blended mortars produced with recycled by-products from different waste streams

The construction industry encounters significant challenges in effectively managing solid waste produced during the extraction and production of building materials. In different countries, slurry waste generated from granite and marble processing industries, such as glass industry waste, constitutes a considerable portion of the total solid waste. Its undesirable disposal is causing unprecedented environmental damage. Using these non-biodegradable wastes to produce building materials would reduce the environmental burden and contribute to sustainable construction. This study, in detail, investigates the feasibility of utilizing Granite Powder (GP), Ground Granite Powder (GGP), and Ground Glass Waste (GGW) as partial replacements of components in blended mortar mixes. The mix modifications consist of partial replacement of cement with GGW, GP, and GGP in the range of 5–15% and fine aggregate replacement with Marble powder (MP) in 10–30% by mass. The mechanical, physical, and microstructure properties of blended and control mortar mixes were studied on the 3rd, 7th, 28th, and 91st curing days. The results demonstrate that the partial substitution of 10% GGW and 5% GP with cement and 10% MP with fine aggregates in blended mortars enhance the compressive strength at the later curing age (28 and 91 days) compared to that of a control mortar, which is associated to the development of higher pozzolanic reactivity. The XRD results showed the formation of the lowest content of calcium hydroxide (CH) and the highest content of calcium silicate gel in the blended mortars compared to the control mortar. The results enrich the data available in the literature not always univocal, as in the case of using marble and glass waste, providing also interesting information about the influence of granite powder on the hydration process in a mortar mix actually missing

MOAB: Multi-Modal Outer Arithmetic Block for Fusion of Histopathological Images and Genetic Data for Brain Tumor Grading

Brain tumors are an abnormal growth of cells in the brain. They can be classified into distinct grades based on their growth. Often grading is performed based on a histological image and is one of the most significant predictors of a patient's prognosis; the higher the grade, the more aggressive the tumor. Correct diagnosis of the tumor's grade remains challenging. Though histopathological grading has been shown to be prognostic, results are subject to interobserver variability, even among experienced pathologists. Recently, the World Health Organization reported that advances in molecular genetics have led to improvements in tumor classification. This paper seeks to integrate histological images and genetic data for improved computer-aided diagnosis. We propose a novel Multi-modal Outer Arithmetic Block (MOAB) based on arithmetic operations to combine latent representations of the different modalities for predicting the tumor grade (Grade II, III and IV). Extensive experiments evaluate the effectiveness of our approach. By applying MOAB to The Cancer Genome Atlas (TCGA) glioma dataset, we show that it can improve separation between similar classes (Grade II and III) and outperform prior state-of-the-art grade classification techniques

What do we know about business and economics research during COVID-19: a bibliometric review

The destructive COVID-19 has emerged as the most lethal disease and dented the global economies in every aspect. Consequently, a large amount of research emerged to understand the dynamics of COVID-19. Using meta-literature approach with combination of both bibliometric (quantitative) and content analysis (qualitative) approach, this study aims to present a comprehensive review of COVID-19 business-related research of 477 articles. The results reveal the most the most relevant and influential scientific aspects of the literature such as authors, articles, institutions, journals, and countries. We also identify intellectual structure within six streams: 1) COVID-19 and global economy, 2) Dynamics of COVID-19 in business and management research, 3) COVID-19 and financial markets, 4) COVID-19 and its implication for tourism & hospitality industry, 5) Dynamic of supply chain and COVID-19 and 6) COVID-19 and functionality of government. Lastly, the review of the literature helps us to identify the research gaps and present 62 future research directions

Search for a signal on intermediate baryon systems formation in hadron-nuclear and nuclear-nuclear interactions at high energies

We have analyzed the behavior of different characteristics of hadron-nuclear and nuclear-nuclear interactions as a function of centrality to get a signal on the formation of intermediate baryon systems. We observed that the data demonstrate the regime change and saturation. The angular distributions of slow particles exhibit some structure in the above mentioned reactions at low energy. We believe that the structure could be connected with the formation and decay of the percolation cluster. With increasing the mass of colliding nuclei, the structure starts to become weak and almost disappears ultimately. This shows that the number of secondary internuclear interactions increases with increasing the mass of the colliding nuclei. The latter could be a reason of the disintegration of any intermediate formations as well as clusters, which decrease their influence on the angular distribution of the emitted particles.Comment: 2 pages and one figur