Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings.

In order to advance precision medicine, detailed clinical features ought to be described in a way that leverages current knowledge. Although data collected from biomedical research is expanding at an almost exponential rate, our ability to transform that information into patient care has not kept at pace. A major barrier preventing this transformation is that multi-dimensional data collection and analysis is usually carried out without much understanding of the underlying knowledge structure. Here, in an effort to bridge this gap, Electronic Health Records (EHRs) of individual patients are connected to a heterogeneous knowledge network called Scalable Precision Medicine Oriented Knowledge Engine (SPOKE). Then an unsupervised machine-learning algorithm creates Propagated SPOKE Entry Vectors (PSEVs) that encode the importance of each SPOKE node for any code in the EHRs. We argue that these results, alongside the natural integration of PSEVs into any EHR machine-learning platform, provide a key step toward precision medicine

The synoptic problem: on Matthew's and Luke's use of Mark

In New Testament studies, the synoptic problem is concerned with the relationships between the gospels of Matthew, Mark and Luke. Assuming Markan priority, we investigate the relationship between the words in Mark that are retained unchanged by Matthew and those that are retained unchanged by Luke. This is done by mapping the sequence of words in Mark into binary time series that represent the retention or non-retention of the individual words, and then carrying out a variety of logistic regression analyses

A mathematical model for bioremediation of hydrocarbon-contaminated soils

The AQUASIM executable file is available in DataRepositoriUM (https://doi.org/10.34622/datarepositorium/2BUM2J, accessed on 15 September 2022).Bioremediation of hydrocarbons in soil is a highly complex process, involving a multiplicity of physical, chemical and biological phenomena. Therefore, it is extremely difficult to control and boost the bioremediation of these systems after an oil spill. A mathematical model was developed to assist in the prediction and decision-making regarding the in situ bioremediation of hydrocarbon-contaminated soils. The model considered the most relevant processes involved in the mass transfer and biodegradation of alkanes over time and along the depth of a flooded soil column. Aliphatic hydrocarbons were chosen since they are less water soluble than aromatics and account for 50–90% of the hydrocarbon fraction in several petroleum products. The effect of adding oxygen, nitrate, iron (III) or sulfate as electron acceptors was then simulated (bioremediation scenarios). Additionally, and to feed the model, batch assays were performed to obtain experimental data on hydrocarbon adsorption to soil particles (more than 60% of hydrocarbons tends to be adsorbed to soil particles), as well as hydrocarbon biodegradation rates in the presence of nitrate (0.114 d−1) and oxygen (0.587 d−1). The model indicates that saturated hydrocarbon removal occurs mainly with adsorption/desorption and transport processes in the upper layers of soil due to methanogenic biodegradation in deeper layers, since the other microbial processes are soon limited by the lack of electron acceptors. Simulation results show that higher initial electron acceptor concentrations led to higher hydrocarbon removal, confirming that the model is performing in accordance with the expected. Close to the surface (at 0.1 m depth), all scenarios predicted more than 83% hydrocarbon removal after two years of simulation. Soil re-aeration results in faster hydrocarbon removal (more than 20% after one year) and surfactants addition (around 15% after one year) may also accelerate soil bioremediation. With this model, the simultaneous contributions of the various physicochemical and biological processes are integrated, facilitating the simulation and comparison of different bioremediation scenarios. Therefore, it represents a useful support tool for the management of contaminated sites.This study was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of project MORE (PTDC/AAG-TEC/3500/2014; POCI-01-0145-FEDER-016575), the strategic funding of UIDB/04469/2020 unit and by LABBELS—Associate Laboratory in Biotechnology, Bioengineering and Microelectromechanical Systems, LA/P/0029/2020.info:eu-repo/semantics/publishedVersio

DISPERSION OF MULnWALLED CARBON NANOTUBES BY ADDING A HYDROXYL GROUP

The objective of the project is to prevent the agglomeration known in Carbon nanotubes in order to utilize its exceptional properties. In order to achieve this, it was decided to find a method to dissolve the carbon nanotubes into polar solvents by adding a hydroxyl group ( -OH) that would prevent the agglomeration as well as improve the dispersion significantly into Polar Solvents. In this project, a method is proposed to add a hydroxyl group to the Long chain of the Multi Wall carbon nanotubes which will make it disperse into polar and non-polar solvents using Tetrahydro- furan (THF) and sodium Zincate solution as an electrophilic agents, we added a hydroxyl group to the CNT chain which by reaction of sodium Zincate with the walls of the carbon nano tubes under stable sonication for nearly 12 hours. The product was characterized under Transmission electron microscope which showed significant de-agglomeration which proves that adding a hydroxyl group to the chains of MWCNTs reduce agglomeration significantly as well as improve its dispersion properties. Moreover, after characterizing the sample under the FT-IR spectroscopy, the results have shown bonds between C-OH which proves the attachment of the hydroxyl group that caused the de-agglomeration

Do Landfills Always Depress Nearby Property Values?

All available hedonic pricing estimates of the impact of landfills on nearby property values are assembled, including original estimates for three landfills in Pennsylvania. A meta-analysis shows landfills that accept high volumes of waste (500 tons per day or more) decrease adjacent residential property values by 13.7%, on average. This impact diminishes with distance at a gradient of 5.9% per mile. Lower-volume landfills decrease adjacent property values by 2.7%, on average, with a gradient of 1.3% per mile. While essentially all high-volume landfills negatively impact nearby property values, 20-26% of low-volume landfills do not impact nearby property values.

The Current State and the Prospects of Innovative Development of Export-Organized Ukrainian Industrial Enterprises

The purpose of the article is to study the current state and the prospects of innovative development of export-oriented industrial enterprises of Lviv region and of Ukraine on the basis of modern theory and practice in the field of economics and enterprise management. It is established that the innovative activity of Ukrainian industrial enterprises is at a rather low level with the prospect of further reduction. The key obstacles and difficulties arising on the way of innovative development of Ukrainian export-oriented industrial enterprises are highlighted. The ways of solving the problems of innovative development of export-oriented industrial enterprises in Ukraine are offered. The prospect of further research in this area is the study of key aspects of the development of export-oriented industrial enterprises with the prospect of development and increases their export potential.The purpose of the article is to study the current state and the prospects of innovative development of export-oriented industrial enterprises of Lviv region and of Ukraine on the basis of modern theory and practice in the field of economics and enterprise management. It is established that the innovative activity of Ukrainian industrial enterprises is at a rather low level with the prospect of further reduction. The key obstacles and difficulties arising on the way of innovative development of Ukrainian export-oriented industrial enterprises are highlighted. The ways of solving the problems of innovative development of export-oriented industrial enterprises in Ukraine are offered. The prospect of further research in this area is the study of key aspects of the development of export-oriented industrial enterprises with the prospect of development and increases their export potential