Use of Advanced Information Technologies for Marine Accident Data Analysis Visualization and Quality Control

Abstract A system of quality-control data analysis by computer is described, in which two-way analysis of variance is used for partitioning sources of laboratory error into day-to-day, within-day, betweenpools and additivity variation. The partition for additivity is described in detail as to its advantages and applications. In addition, control charts based on two-way analysis of variance computations are prepared each month by computer. This computer program is designed to operate with the IBM 1800 or 1130 computers or any computer with a Fortran IV compiler. Examples are presented of use of the control charts and of tables of analysis of variance.

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Quality Control of Herbal Medicines: From Traditional Techniques to State-of-the-art Approaches

Planta Medica ◽

10.1055/a-1529-8339 ◽

2021 ◽

Author(s):

Luiz C. Klein-Junior ◽

Maira R. de Souza ◽

Johan Viaene ◽

Tania M. B. Bresolin ◽

André L. de Gasper ◽

...

Keyword(s):

Quality Control ◽

Data Analysis ◽

Plant Extracts ◽

Herbal Medicines ◽

Botanical Origin ◽

Plant Materials ◽

Holistic View ◽

Marker Selection ◽

Chromatographic Profile ◽

Oriented Approach

AbstractHerbal medicines are important options for the treatment of several illnesses. Although their therapeutic applicability has been demonstrated throughout history, several concerns about their safety and efficacy are raised regularly. Quality control of articles of botanical origin, including plant materials, plant extracts, and herbal medicines, remains a challenge. Traditionally, qualitative (e.g., identification and chromatographic profile) and quantitative (e.g., content analyses) markers are applied for this purpose. The compound-oriented approach may stand alone in some cases (e.g., atropine in Atropa belladonna). However, for most plant materials, plant extracts, and herbal medicines, it is not possible to assure quality based only on the content or presence/absence of one (sometimes randomly selected) compound. In this sense, pattern-oriented approaches have been extensively studied, introducing the use of multivariate data analysis on chromatographic/spectroscopic fingerprints. The use of genetic methods for plant material/plant extract authentication has also been proposed. In this study, traditional approaches are reviewed, although the focus is on the applicability of fingerprints for quality control, highlighting the most used approaches, as well as demonstrating their usefulness. The literature review shows that a pattern-oriented approach may be successfully applied to the quality assessment of articles of botanical origin, while also providing directions for a compound-oriented approach and a rational marker selection. These observations indicate that it may be worth considering to include fingerprints and their data analysis in the regulatory framework for herbal medicines concerning quality control since this is the foundation of the holistic view that these complex products demand.

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Innovation and Internationalization of Hungarian SMEs in the IT Industry

International Journal of Management and Economics ◽

10.2478/ijme-2014-0027 ◽

2014 ◽

Vol 40 (1) ◽

pp. 30-49

Author(s):

László Csonka

Keyword(s):

Information Technology ◽

Data Analysis ◽

Multinational Enterprises ◽

Information Technologies ◽

Secondary Data ◽

Research Development ◽

Internationalization Process ◽

Safety Zone ◽

It Industry ◽

Managerial Capabilities

Abstract The aim of this paper is to look at the extent and type of internationalization among Hungarian information technology (IT) small- and medium-sized enterprises (SMEs) and the possible relationship between the degree of innovativeness and the internationalization of these companies. Information technologies play an important role in the Hungarian economy: this sector is one of the most R&D intensive industries in which many SMEs are active. The paper reviews relevant theories of internationalization in research, development and innovation (RDI) to give a broader picture of the environment in which SMEs have to succeed. This is followed by a secondary data analysis to show the situation of the industry in Hungary, then by an analysis of the survey data and interviews designed specifically for the purpose of this research. The new empirical results show that Hungarian IT SMEs are still at the beginning of the internationalization process: while aware of the advantages of collaborations and internationalization, they are still reluctant to venture out of their “safety zone” and therefore they collaborate only with their closest partners. Very few SMEs have decided to establish international RDI contacts. The analysis suggests that the main barriers in internationalization of the Hungarian SMEs are due to lack of capital, appropriate managerial capabilities and innovation-friendly economic environment. So far, most theories/empirical research have concentrated on the role and activities of multinational enterprises in the internationalization of RDI, while in the literature less relevant knowledge on SMEs is available. The aim of this paper is to contribute to this latter part of the literature by analyzing the international activities of innovative/R&D-intensive SMEs in Hungary.

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Road Traffic Accident Data Analysis and Its Visualization

Civil Engineering and Architecture ◽

10.13189/cea.2021.090530 ◽

2021 ◽

Vol 9 (5) ◽

pp. 1603-1614

Author(s):

Muhammad Babar Ali Rabbani ◽

Muhammad Ali Musarat ◽

Wesam Salah Alaloul ◽

Ahsen Maqsoom ◽

Hamna Bukhari ◽

...

Keyword(s):

Data Analysis ◽

Road Traffic Accident ◽

Traffic Accident ◽

Road Traffic ◽

Accident Data

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Moving translational mass spectrometry imaging towards transparent and reproducible data analyses: A case study of an urothelial cancer cohort analyzed in the Galaxy framework

10.1101/2021.08.09.455649 ◽

2021 ◽

Author(s):

Melanie Christine Föll ◽

Veronika Volkmann ◽

Kathrin Enderle-Ammour ◽

Konrad Wilhelm ◽

Dan Guo ◽

...

Keyword(s):

Mass Spectrometry ◽

Quality Control ◽

Data Analysis ◽

Mass Spectrometry Imaging ◽

Urothelial Cancer ◽

Type I ◽

Raw Data ◽

The Galaxy ◽

Muscle Invasive ◽

Reproducible Manner

Background: Mass spectrometry imaging (MSI) derives spatial molecular distribution maps directly from clinical tissue specimens. This allows for spatial characterization of molecular compositions of different tissue types and tumor subtypes, which bears great potential for assisting pathologists with diagnostic decisions or personalized treatments. Unfortunately, progress in translational MSI is often hindered by insufficient quality control and lack of reproducible data analysis. Raw data and analysis scripts are rarely publicly shared. Here, we demonstrate the application of the Galaxy MSI tool set for the reproducible analysis of an urothelial carcinoma dataset. Methods: Tryptic peptides were imaged in a cohort of 39 formalin-fixed, paraffin-embedded human urothelial cancer tissue cores with a MALDI-TOF/TOF device. The complete data analysis was performed in a fully transparent and reproducible manner on the European Galaxy Server. Annotations of tumor and stroma were performed by a pathologist and transferred to the MSI data to allow for supervised classifications of tumor vs. stroma tissue areas as well as for muscle-infiltrating and non-muscle invasive urothelial carcinomas. For putative peptide identifications, m/z features were matched to the MSiMass list. Results: Rigorous quality control in combination with careful pre-processing enabled reduction of m/z shifts and intensity batch effects. High classification accuracy was found for both, tumor vs. stroma and muscle-infiltrating vs. non-muscle invasive tumors. Some of the most discriminative m/z features for each condition could be assigned a putative identity: Stromal tissue was characterized by collagen type I peptides and tumor tissue by histone and heat shock protein beta-1 peptides. Intermediate filaments such as cytokeratins and vimentin were discriminative between the tumors with different muscle-infiltration status. To make the study fully reproducible and to advocate the criteria of FAIR (findability, accessibility, interoperability, and reusability) research data, we share the raw data, spectra annotations as well as all Galaxy histories and workflows. Data are available via ProteomeXchange with identifier PXD026459 and Galaxy results via https://github.com/foellmelanie/Bladder_MSI_Manuscript_Galaxy_links. Conclusion: Here, we show that translational MSI data analysis in a fully transparent and reproducible manner is possible and we would like to encourage the community to join our efforts.

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