9 results match your criteria: "The University of Zanjan[Affiliation]"

A polymer inclusion membrane (PIM) composed of 50 wt% base polymer poly(vinylidenefluoride--hexafluoropropylene), 40 wt% extractant Aliquat 336, and 10 wt% dibutyl phthalate as plasticizer/modifier provided the efficient extraction of vanadium(V) (initial concentration 50 mg L) from 0.1 M sulfate solutions (pH 2.5).

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In this research, dispersive liquid-phase microextraction has been used for the extraction of some phenols including phenol, 3-methylphenol, 4-nitrophenol, 2-chlorophenol, tert-buthylphenol from aqueous samples, and then the analysis was done by the gas chromatography-flame ionization detector technique. For the first time, a laboratory homogenizer has been applied for dispersing of extracting organic solvent. To improve the chromatographic behavior, acetic anhydride was used as a derivatization reagent of the analytes.

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A new diclofenac molecularly imprinted electrochemical sensor based upon a polyaniline/reduced graphene oxide nano-composite.

Biosens Bioelectron

December 2018

Phase Equilibria Research Laboratory, Department of Chemistry, Faculty of Science, The University of Zanjan, Postal Code 45371-38791 Zanjan, Iran.

Article Synopsis
  • A diclofenac-imprinted polymer was created using a combination of polyaniline, reduced graphene oxide, and triphenylamine to produce a selective electrochemical sensor for detecting diclofenac.
  • The sensor’s effectiveness was examined through cyclic voltammetry, revealing a clear anodic peak at around 0.5 V, and a calibration curve indicated a linear response for diclofenac concentrations between 5-80 mg/L.
  • The sensor demonstrated a low detection limit of 1.1 mg/L and high precision, with relative standard deviations of 2.43% and 2.47% for inter- and intra-day analyses, respectively, making it suitable for DCF detection in various solutions, including pharmaceutical
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Purpose: This paper reports on a generic framework to provide clinicians with the ability to conduct complex analyses on elaborate research topics using cascaded queries to resolve internal time-event dependencies in the research questions, as an extension to the proposed Clinical Data Analytics Language (CliniDAL).

Methods: A cascaded query model is proposed to resolve internal time-event dependencies in the queries which can have up to five levels of criteria starting with a query to define subjects to be admitted into a study, followed by a query to define the time span of the experiment. Three more cascaded queries can be required to define control groups, control variables and output variables which all together simulate a real scientific experiment.

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A poly(vinylidene fluoride-co-hexafluoropropylene)-based polymer inclusion membrane (PIM) using Cyphos® IL 101 (i.e. trihexyl(tetradecyl)phosphonium chloride) as the carrier and 2-nitrophenyl octyl ether as a plasticizer in a mass ratio of 55/35/10 was employed for the on-line extractive separation of V(V) prior to its spectrophotometric determination in a flow injection analysis (FIA) system using xylenol orange as the colorimetric reagent.

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DrugMiner: comparative analysis of machine learning algorithms for prediction of potential druggable proteins.

Drug Discov Today

May 2016

School of Information Technology and Mathematical Sciences, Division of Information Technology, Engineering and the Environment, The University of South Australia, Adelaide, SA, Australia; Department of Genetics & Evolution, School of Biological Sciences, The University of Adelaide, Adelaide, SA, Australia; School of Biological Sciences, Faculty of Science and Engineering, Flinders University, Adelaide, SA, Australia. Electronic address:

Application of computational methods in drug discovery has received increased attention in recent years as a way to accelerate drug target prediction. Based on 443 sequence-derived protein features, we applied the most commonly used machine learning methods to predict whether a protein is druggable as well as to opt for superior algorithm in this task. In addition, feature selection procedures were used to provide the best performance of each classifier according to the optimum number of features.

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Restricted natural language based querying of clinical databases.

J Biomed Inform

December 2014

Health Language Laboratories, School of Information Technologies, The University of Sydney, NSW, Australia; Innovative Clinical Information Management Systems, Sydney, Australia. Electronic address:

Purpose: To elevate the level of care to the community it is essential to provide usable tools for healthcare professionals to extract knowledge from clinical data. In this paper a generic translation algorithm is proposed to translate a restricted natural language query (RNLQ) to a standard query language like SQL (Structured Query Language).

Methods: A special purpose clinical data analytics language (CliniDAL) has been introduced which provides scheme of six classes of clinical questioning templates.

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The objective was to establish prolonged effects of a rumen-protected Met (RPM) product (SmartamineM) on milk production and reproduction of high-producing early-lactation cows under extended very high ambient temperatures. Twenty four fresh Holstein cows (27 +/- 9 days in milk, 617 kg b.wt.

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Crop and medicinal plants proteomics in response to salt stress.

Front Plant Sci

February 2013

Department of Biology, Faculty of Sciences, The University of Zanjan Zanjan, Iran.

Increasing of world population marks a serious need to create new crop cultivars and medicinal plants with high growth and production at any environmental situations. Among the environmental unfavorable conditions, salinity is the most widespread in the world. Crop production and growth severely decreases under salt stress; however, some crop cultivars show significant tolerance against the negative effects of salinity.

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