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3 results on '"Nejjar, Mohamed"'

1. LLMs for Science: Usage for Code Generation and Data Analysis

Author

Nejjar, Mohamed, Zacharias, Luca, Stiehle, Fabian, and Weber, Ingo

Subjects
Computer Science - Software Engineering, Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract

Large language models (LLMs) have been touted to enable increased productivity in many areas of today's work life. Scientific research as an area of work is no exception: the potential of LLM-based tools to assist in the daily work of scientists has become a highly discussed topic across disciplines. However, we are only at the very onset of this subject of study. It is still unclear how the potential of LLMs will materialise in research practice. With this study, we give first empirical evidence on the use of LLMs in the research process. We have investigated a set of use cases for LLM-based tools in scientific research, and conducted a first study to assess to which degree current tools are helpful. In this paper we report specifically on use cases related to software engineering, such as generating application code and developing scripts for data analytics. While we studied seemingly simple use cases, results across tools differ significantly. Our results highlight the promise of LLM-based tools in general, yet we also observe various issues, particularly regarding the integrity of the output these tools provide., Comment: Accepted (ICSSP Special Issue in Journal of Software Evolution and Process); In Print

Published
2023

2. Capillarys 3 Octa®: Analytical Performance Assessment for HbA1c Quantification

Author

Ganouni Mohamed Rayen, Chaira Maha, Bouslama Jamila, Neffati Fadoua, and Nejjar Mohamed Fadhel

Subjects
hba1c, capillarys 3 octa®, capillary electrophoresis, analytical performance, hemoglobinopathies, Medicine
Abstract

Objective: Determination of HbA1c level is a precious indicator for therapeutic follow-up of patients with type 1 or type 2 diabetes. Our study aimed to evaluate the analytical characteristics of Capillarys 3 Octa® HbA1c measurement by capillary electrophoresis. Materials and Methods: Our study involved 265 venous whole blood specimens repeatability, intermediate fidelity, accuracy, linearity, and correlation with the Arkray HA-8180 analyzer which uses HPLC as a dosing method. We studied interferences such as hematocrit, triglycerides, total bilirubin, labile fraction, and hemoglobin abnormalities. Results: The linearity correlation was between 4.4% and 20.3%. There was a strong correlation with HPLC (r > 0.99, P< 0.0001). No interference from hematocrit (20-93%) (P: 0.888), triglycerides (until 25 mmol/L) (P: 0.388), total bilirubin (< 587 µmol/L) (P: 0.993), and labile fraction was observed. No problem related to inter-sample contamination was observed. The sensitivity was zero for homozygous sickle cell disease and S/C composite hemoglobinosis. However, sensitivity was high for heterozygous forms (69% for A/S and 60% for A/C). The analyzer was able to separate and quantify HbA2 fraction, allowing ß-thalassemia accidental detection. Conclusion: Capillarys 3 Octa® based on capillary electrophoresis proved to be precise and a linear instrument for HbA1c measurement. Several clinical interferences and Hb variants had no effect on the results. The results of this evaluation suggest that this analyzer is suitable for routine use in clinical chemistry laboratories.

Published
2022

3. Capillarys 3 Octa®: Analytical Performance Assessment for HbA1c Quantification.

Author

Rayen, Ganouni Mohamed, Maha, Chaira, Jamila, Bouslama, Fadoua, Neffati, and Fadhel, Nejjar Mohamed

Subjects
GLYCOSYLATED hemoglobin, CAPILLARY electrophoresis, HEMOGLOBINOPATHY, SICKLE cell anemia, TYPE 1 diabetes
Abstract

Objective: Determination of HbA1c level is a precious indicator for therapeutic follow-up of patients with type 1 or type 2 diabetes. Our study aimed to evaluate the analytical characteristics of Capillarys 3 Octa® HbA1c measurement by capillary electrophoresis. Materials and Methods: Our study involved 265 venous whole blood specimens repeatability, intermediate fidelity, accuracy, linearity, and correlation with the Arkray HA-8180 analyzer which uses HPLC as a dosing method. We studied interferences such as hematocrit, triglycerides, total bilirubin, labile fraction, and hemoglobin abnormalities. Results: The linearity correlation was between 4.4% and 20.3%. There was a strong correlation with HPLC (r > 0.99, P< 0.0001). No interference from hematocrit (20-93%) (P: 0.888), triglycerides (until 25 mmol/L) (P: 0.388), total bilirubin (< 587 µmol/L) (P: 0.993), and labile fraction was observed. No problem related to inter-sample contamination was observed. The sensitivity was zero for homozygous sickle cell disease and S/C composite hemoglobinosis. However, sensitivity was high for heterozygous forms (69% for A/S and 60% for A/C). The analyzer was able to separate and quantify HbA2 fraction, allowing ß-thalassemia accidental detection. Conclusion: Capillarys 3 Octa® based on capillary electrophoresis proved to be precise and a linear instrument for HbA1c measurement. Several clinical interferences and Hb variants had no effect on the results. The results of this evaluation suggest that this analyzer is suitable for routine use in clinical chemistry laboratories. [ABSTRACT FROM AUTHOR]

Published
2022
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