# Noise Annoyance in Physical Sciences: Perspective 2015-2024
## 2 Materials and Methods  
### Data Selection  
This article adopts the method of selecting research material already described and used in a previous article, taking into account the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) standard and based on the approach developed by [PERSON] et. al. [11; 12; 13]. This study was divided into two stages. Firstly, advanced searches were conducted in the Scopus database by combining specific search words in the title, abstract, and keywords of publications. Secondly, based on the search, categories (domains) of divisions were distinguished and described. The search was carried out in the following steps: in the first order, articles were narrowed down within the title, abstract, and keyword for the keyword \"noise annoyance\", with these words having to occur in that order (\"precedes by\", 0--distance between words). The search resulted in 1952 records. Next, a filter was applied regarding the time of publication PUBYEAR > 2014 AND PUBYEAR < 2025, which in effect narrowed the field of research interest to the period 2015-2024 and limited the search results to 960 items. In the next step, all subject areas that were not within the authors' scope of interest were excluded. A SUBJAREA Filter was applied in the following form: (NOT SUBJAREA(MEDI OR NURS OR VETE OR DENT OR HEAL OR MULT OR AGRI OR BIOC OR IMMU OR NEUR OR PHAR OR ARTS OR BUSI OR DECI OR ECON OR PSYC OR SOCI OR CENG OR CHEM OR COMP OR MATE OR MATH OR PHYS). The result was as follows:  
1. A total of 127 records qualified for further analysis, encompassing the following research areas: Earth and Planetary Sciences (EART), Energy (ENER), Engineering (ENGI), and Environmental Science (ENVI). This selection was driven by the focus of this review on the physical sciences' perspective of noise annoyance, aiming to synthesize literature directly addressing the physical aspects, sources, and technological interventions related to noise. While we acknowledge that fields like medicine and social sciences offer valuable insights into the health and societal impacts of noise, their exclusion was a deliberate choice to maintain a focused analysis on the physical science domain (e.g., like medicine and social sciences). Future research could benefit from integrating findings from these excluded fields to provide a more holistic understanding of noise annoyance. 2. A total of 833 records were excluded, originating from research areas such as Health Sciences (Medicine (MEDI), Nursing (NURS), Veterinary Medicine (VETE), Denistry (DENT), Health Professions (HEAL)); Life Sciences (Agricultural and Biological Sciences (AGRI), Biochemistry, Genetics, and Molecular Biology (BIOC), Immunology and Microbiology (IMMU), Neuroscience (NEUR), Pharmacology, Toxicology, and Pharmacy (PHAR)); Physical Sciences (Chemical Engineering (CENG), Chemistry (CHEM), Computer Science (COMP), Materials Science (MATE), Mathematics (MATH), Physics and Astronomy (PHYS)); Social Sciences (Arts and Humanities (ARTS), Business, Management, and Accounting (BUSI), Decision Sciences (DECI), Economics, Econometrics, and Finance (ECON), Psychology (PSYC), Social Sciences (SOCI)). Further selection also excluded documents of the following types: review, conference review, and articles in Chinese. For this purpose, filters were applied: DOCTYPE filter (EXCLUDE (DOCTYPE, \"re\") OR EXCLUDE (DOCTYPE, \"cr\")); document type: review, conference review, filter LANGUAGE (EXCLUDE (LANGUAGE, \"Chinese\")) were excluded. This resulted in 112 publications. The data was imported into a CSV (Comma-Separated Values) file and, additionally, into a text file. Consequently, the results can be viewed in terms of the information contained therein. The file has the following columns: \"Authors\", \"Author full names\", \"Author(s) ID\", \"Title\", \"Year\", \"Source title\", \"Cited by\", \"DOI\", \"Link\", \"Abstract\", \"Author Keywords\", \"Index Keywords\", \"Document Type\", \"Publication Stage\", \"Open Access\".