BayesDB [1, 2] is a probabilistic programming platform that enables users to solve probabilistic data analysis problems using a simple, SQL-like language. Queries execute against generative population models (GPMs), a new abstraction that can be used to integrate data, metadata, qualitative domain knowledge, and quantitative models. Baseline quantitative models are typically built via an AI mod...

a r t i c l e i n f o Groundwater is considered as the most important natural resources in arid and semi-arid regions. In this study, the application of random forest (RF) and maximum entropy (ME) models for groundwater potential mapping is investigated at Mehran Region, Iran. Although the RF and ME models have been applied widely to environmental and ecological modeling, their applicability to...

Environmental friendly and sustainable repair materials with reduced carbon emission have been in high demand worldwide. Frequent deterioration of cement concrete structures is unpreventable requires appropriate materials. Aside from the cementitious, polymeric or resinous used to remedy this problem, geopolymeric mortars are reported be more sustainable, considering lower energy required for i...

The present work aims to build a unique hybrid model by combining six fuzzy operator feature selection-based techniques with logistic regression (LR) for producing groundwater potential models (GPMs) utilising high resolution DEM-derived parameters in Saudi Arabia’s Bisha area. current focuses exclusively on the influence of GPMs modelling, without considering other variables. AND, OR, GAMMA 0....

The way in which the information contained in genotypes is translated into complex phenotypic traits (i.e. embryonic expression patterns) depends on its decoding by a multilayered hierarchy of biomolecular systems (regulatory networks). Each layer of this hierarchy displays its own regulatory schemes (i.e. operational rules such as +/- feedback) and associated control parameters, resulting in c...

Newspaper production is a complex and often suboptimised process, characterised by heterogeneous computer based production tools in a distributed environment. Attempts to optimize this process have generally been on a local subsystem level, without a global perspective. With the emerging IFRAtrack standard for exchanging local and global tracking information, new possibilities for global optimi...

Scheduling tasks on different resources spread over a grid computing system is an NP complete problem. Assorted researchers are developing adaptation scheduling algorithms for getting optimality. Hence they have proved a good result for tasks scheduling about resources selection. In this review, we study the Group-based Parallel Multi-scheduler (GPMS). It is focused on effectively utilizing the...

Background: Pseudomeningoceles (PMs) are infrequent complications of spine surgery resulting from incidental durotomy and subsequent extravasation cerebrospinal fluid. Giant PMs (GPMs), defined as ≥8 cm in major diameter, rarely reported the literature present a challenge due to lack clear guidelines for surgical management. Case Description: Here, authors discuss successful management 25.3 lum...

A flow injection chemiluminescence immunoassay for rapid and sensitive detection of carcinoembryonic antigen (CEA) by using a phenylboronic acid-based immunoaffinity column as a glycoprotein collector was proposed in this paper. The column was prepared by coupling of 3-aminophenylboronic acid on the glass beads through a γ-glycidoxypropyltrimethoxysilane (GPMS) linkage. Based on an indirect com...

The genome-probing microarray (GPM) was developed for quantitative, high-throughput monitoring of community dynamics in lactic acid bacteria (LAB) fermentation through the deposit of 149 microbial genomes as probes on a glass slide. Compared to oligonucleotide microarrays, the specificity of GPM was remarkably increased to a species-specific level. GPM possesses about 10- to 100-fold higher sen...