Employment law expert system

This paper reviews the development and application architecture of an expert system to assist the Mauritian population with queries they may have about labor or employment law. The expert system makes use of Machine Learning, Speech Recognition/Synthesis and Natural Language Processing techniques to converse with users through a web interface. The expert system also takes advantage of a large knowledge base, that allows the system to teach itself employment law principles. The knowledge base is created from "Understanding Employment Law and Remuneration Orders in Mauritius", written by Ved Prakash Torul [1], which is a simplified version of the Employment Relations Act and the Employment Rights Act. The book explains employment law in common language, to help the public understand their constitutional rights. The expert system allows users to communicate and express their employment issues, so that they are aware of their next course of action, either they are an employer, employee, or a union. The paper also reviews the evaluation period, which consisted of a preliminary testing period. Through the evaluation, it was concluded that the expert system was able to respond to individual responses with a Precision of 66% and Recall of 85%. While the Expert System is able to converse with users on certain topics on Employment Law, further evaluation would need to be conducted. Additionally, the knowledge base will need to be updated over time

Calibration Curve Approaches for Nonlinear Data Points Obtained in Colo 320 Exosomes Determination

The limit of detection (LOD) is defined as the lowest quantity or concentration of a component that can be reliably distinguished from the limit of blank (LOB). LOD value is one of the most important parameters considered for many determination methods and is usually calculated on the linear correlation between signal and concentration. However, the linear correlation may not always be obtained in experimental studies. We claim that data with low linear correlation have meaning, and we present such a study because analytical studies based on these data are not easily understood in the literature. In this manuscript, we suggest that a calibration curve can be obtained from nonlinear data points and the LOD value can be calculated. We tested this approach for the determination of exosomes and supported it with mathematical calculations. We produced a label-free sensor using anti-CD63 on the gold electrode for selective and reliable impedimetric detection of the exosomes obtained from Colo 320 cell lines in data points that are high concentrations and out of linearity. We characterized in detail what each calculation means. This sensor with a LOD value of 3.90x1011 exosome particles mu L-1 and with a cubic polynomial model for the calibration curve was considered sensitive and reliable, especially for high vesicle content of samples such as cell culture medium

Direct impedimetric detection of exosomes and practical application in urine

Exosomes are nanoscale vesicles released from tumor-derived cells. They are very popular cancer biomarkers in non-invasive liquid biopsy diagnosis and evaluation of therapeutic response. Rapid analysis of exosomes with proteins or other biomarkers requires complex methods and has a relatively high cost. We indicate the fabrication of a biosensor for the detection of exosomes at low concentrations using immunological recognition strategies. The implementation of the biosensor consists of two steps: (i) functionalization of screen-printed electrodes (SPEs) with tetraspanin anti-CD63 antibodies and (ii) capturing exosomes by the electrode surface. Label-free detection of exosomes was successful with the Nyquist diagram, one of the main demonstrations of electrochemical impedance spectroscopy (EIS). In addition, we increased the consistency of the results by including the Bode diagrams of the measurements in our study. The proposed biosensor as a sensitive and reliable impedimetric method for detecting exosomes was established in a working range of 3.7 x 10( )3 to 3.7 x 10(8) particles mL(-1) with a detection limit of 2.0 x 10(3) particles mL(-1). [GRAPHICS]

Employment law expert system

This paper reviews the development and application architecture of an expert system to assist the Mauritian population with queries they may have about labor or employment law. The expert system makes use of Machine Learning, Speech Recognition/Synthesis and Natural Language Processing techniques to converse with users through a web interface. The expert system also takes advantage of a large knowledge base, that allows the system to teach itself employment law principles. The knowledge base is created from "Understanding Employment Law and Remuneration Orders in Mauritius", written by Ved Prakash Torul [1], which is a simplified version of the Employment Relations Act and the Employment Rights Act. The book explains employment law in common language, to help the public understand their constitutional rights. The expert system allows users to communicate and express their employment issues, so that they are aware of their next course of action, either they are an employer, employee, or a union. The paper also reviews the evaluation period, which consisted of a preliminary testing period. Through the evaluation, it was concluded that the expert system was able to respond to individual responses with a Precision of 66% and Recall of 85%. While the Expert System is able to converse with users on certain topics on Employment Law, further evaluation would need to be conducted. Additionally, the knowledge base will need to be updated over time

Paper-based electrode assemble for impedimetric detection of miRNA

In the present work, a paper-based electrode assemble was developed and implemented to detect target microRNA 155 (miRNA 155) via electrochemical impedance spectroscopy (EIS) measurements. In this concept, gold nanoparticles (AuNPs) modified paper based electrode assemble system (AuNP-PE) was designed, and characterized by scanning electron microscopy (SEM), cyclic voltammetry (CV) and EIS measurements. The impedimetric detection of miRNA 155 was performed by measuring the fractional change at the charge transfer resistance (R-ct). The detection limits were found as 33.8 nM in PBS and 93.4 nM in fetal bovine serum (FBS) medium, respectively. The selectivity of the proposed assay was tested against to non-complementary (NC) and mismatch (MM) miRNA sequences in the presence of mixture sample containing miRNA:NC (1:1) and miRNA: MM (1:1) in PBS (pH 7.40) or FBS. The analytical performance and the selectivity of impedimetric biosensor were also tested in FBS.Newton-Katip Celebi Funding programme; Turkish Scientific and Technological Research Council (TUBITAK) [215Z702]; British Council (Newton fund, Institutional Links) [216182787]; Turkish Academy of Sciences (TUBA)This study was supported under the Newton-Katip Celebi Funding programme and all authors acknowledge the financial support from Turkish Scientific and Technological Research Council (TUBITAK; Project no. 215Z702) and from British Council (Newton fund, Institutional Links, Ref: 216182787). PhD and master students respectively E. E. and E.Y. acknowledge a project scholarship through by project (TUBITAK Project no. 215Z702). Authors also acknowledge to helpful discussion of Assoc. Prof. Yildiz Uludag as the project consultant during project (TUBITAK; Project no. 215Z702). A.E. also would like to express her gratitude to the Turkish Academy of Sciences (TUBA) as a Principal member for its partial support

Paper-based electrode assemble for impedimetric detection of miRNA

PubMed: 335927662-s2.0-85098630807In the present work, a paper-based electrode assemble was developed and implemented to detect target microRNA 155 (miRNA 155) via electrochemical impedance spectroscopy (EIS) measurements. In this concept, gold nanoparticles (AuNPs) modified paper based electrode assemble system (AuNP-PE) was designed, and characterized by scanning electron microscopy (SEM), cyclic voltammetry (CV) and EIS measurements. The impedimetric detection of miRNA 155 was performed by measuring the fractional change at the charge transfer resistance (Rct). The detection limits were found as 33.8 nM in PBS and 93.4 nM in fetal bovine serum (FBS) medium, respectively. The selectivity of the proposed assay was tested against to non-complementary (NC) and mismatch (MM) miRNA sequences in the presence of mixture sample containing miRNA:NC (1:1) and miRNA:MM (1:1) in PBS (pH 7.40) or FBS. The analytical performance and the selectivity of impedimetric biosensor were also tested in FBS. © 2020 Elsevier B.V.215Z702 British Council: 216182787 Türkiye Bilimler Akademisi Consejo Nacional para Investigaciones Científicas y Tecnológicas, CONICITThis study was supported under the Newton-Katip Celebi Funding programme and all authors acknowledge the financial support from Turkish Scientific and Technological Research Council (TUBITAK; Project no. 215Z702) and from British Council (Newton fund, Institutional Links, Ref: 216182787). PhD and master students respectively E.E. and E.Y. acknowledge a project scholarship through by project (TUBITAK Project no. 215Z702). Authors also acknowledge to helpful discussion of Assoc. Prof. Yildiz Uludag as the project consultant during project (TUBITAK; Project no. 215Z702). A.E. also would like to express her gratitude to the Turkish Academy of Sciences (TUBA) as a Principal member for its partial support.This study was supported under the Newton-Katip Celebi Funding programme and all authors acknowledge the financial support from Turkish Scientific and Technological Research Council (TUBITAK; Project no. 215Z702) and from British Council (Newton fund, Institutional Links, Ref: 216182787 ). PhD and master students respectively E.E. and E.Y. acknowledge a project scholarship through by project (TUBITAK Project no. 215Z702). Authors also acknowledge to helpful discussion of Assoc. Prof. Yildiz Uludag as the project consultant during project (TUBITAK; Project no. 215Z702). A.E. also would like to express her gratitude to the Turkish Academy of Sciences (TUBA) as a Principal member for its partial support