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The purpose of this paper is to investigate how Swiss public libraries are experiencing a normative revolution connected to new cataloging standards, such as RDA and the FRBRization of catalogs.

Thanks to semi-structured interviews, the paper analyzes the current positioning of Swiss public libraries on the “bibliographic transition” issue by using a case study of the network of municipal libraries in Geneva.

In Switzerland, the federal and multi-linguistic structure of the library networks increases the organizational obstacles to the adoption of new cataloging principles and formats. At the local level, the Swiss municipal libraries have to cope with this complexity to transform their structures and continue to offer competitive and effective services to their users.

The paper proposes six scenarios of technology watershed for the analyzed case study and their consequences for cataloging standards and rules.

The paper shows how the adoption of technological and conceptual innovations has to be done in the face of real organizational and administrative constraints, especially in the case of public lending libraries.

The paper analyzes at the empirical and theoretical levels how, especially in Switzerland, the variety of governance levels and linguistic areas have made strategizing more complex for public lending libraries.

The nutritional and anthropometric status can be essential in determining their immune response to vaccines. The purpose of this paper was to investigate the association between diet quality and anthropometric indices with the side effects of the Pfizer-BioNTech COVID-19 vaccine and the SARS-CoV-2 immunoglobulin G titer among Kurdish adults.

This cross-sectional survey-based study was conducted between December 2021 and February 2022. This paper included data on 115 adults, 20–89 years old, from the Kurdistan region. Dietary information was collected using a short food frequency questionnaire, and diet quality was assessed using a plant-based healthy diet score. A blood test was performed to measure the SARS-CoV-2 immunoglobin G (IgG) titer after the vaccination's first and second doses.

Overweight and obese subjects reported more local pain, myalgia, headache, local bruising and local reactions after receiving the first dose of the vaccine (p = 0.04). People on a less healthy diet reported more local pain, myalgia and headache (p = 0.04) and more local bruising and reactions (p = 0.01) after receiving the second dose of the vaccine. On the other hand, the authors observed that those with healthy dietary habits had more IgG titer after the first and second doses of vaccination than those with less healthy dietary habits (p = 0.001).

The results showed that participants with a healthy diet and normal weight status had fewer side effects of the Pfizer-BioNTech COVID-19 vaccine than obese people and those with a less healthy diet.

This purpose of this study is to perfrom the analysis of COVID-19 with the help of blood samples. The blood samples used in the study consist of more than 100 features. So to process high dimensional data, feature reduction has been performed by using the genetic algorithm.

In this study, the authors will implement the genetic algorithm for the prediction of COVID-19 from the blood test sample. The sample contains records of around 5,644 patients with 111 attributes. The genetic algorithm such as relief with ant colony optimization algorithm will be used for dimensionality reduction approach.

The implementation of this study is done through python programming language and the performance evaluation of the model is done through various parameters such as accuracy, sensitivity, specificity and area under curve (AUC).

The implemented model has achieved an accuracy of 98.7%, sensitivity of 96.76%, specificity of 98.80% and AUC of 92%. The results have shown that the implemented algorithm has performed better than other states of the art algorithms.