Small-scale botanical in enhancing indoor air quality: A bibliometric analysis (2011-2020) and short review

The rising frequency of heat-related illnesses among adolescences, particularly during the dry season, is quite concerning. High temperatures and heatwaves have been proven in studies to aggravate pre-existing health issues and raise the risk of mortality in this demographic group. Climate change is projected to worsen current health concerns while also creating new ones, especially among vulnerable groups such as adolescents and young people. Unfortunately, there has been little study on the influence of climate change on death rates among Malaysian adolescents. As a result, the goal of this study is to look at the relationship between annual temperature and mortality rates among Malaysian adolescents. The study's specific goal is to evaluate the extent to which one of the climate change variables, which is temperature is linked to mortality rates in this demographic group. In this study, a linear regression model is used to analyse data from 1980 to 2021 to investigate the relationship between annual temperature and mortality rates among Malaysian adolescents. To isolate the influence of climate change on mortality rates, the study controls for a variety of demographic and socioeconomic characteristics. The regression analysis results show that temperature is significantly associated with mortality rates among Malaysian adolescents. This study gives evidence of the major influence of climate change on mortality rates among adolescents and young people in Malaysia. The findings underline the critical need for targeted treatments and policies to address climate change-related health hazards and protect vulnerable groups.

Section: Discussionmentioning

confidence: 99%

Climate and Adolescence Mortality: Exploring the Linkages

Siti Mariam Norrulashikin,

Siti Rohani Mohd Nor,

Nur Arina Bazilah Kamisan

et al. 2024

“…It aids researchers in determining the most active authors, institutions, nations, journals, and types of work within a topic, as well as the number of citations and author collaboration [9]. Bibliometrics analysis has gained prominence lately as it helps to identify trends in a research domain or topic [10][11][12][13].…”

Section: Bibliometric Analysismentioning

confidence: 99%

Visualising Current Research Trends in Class Imbalance using Clustering Approach: A Bibliometrics Analysis

Nurul Syahida Abu Bakar,

Wan Fairos Wan Yaacob,

Yap Bee Wah

et al. 2024

In recent years, extensive research has been carried out on big data class imbalance problems using the clustering approach. The bibliometric analysis employs statistical techniques to map and assess trends in a specific research domain based on keywords, author affiliations, and citations. Bibliographic analysis assists us in comprehending unstructured big data. This study aims to present a comprehensive literature review on class imbalance problems using the clustering approach and identify gaps in the research domain using bibliometric analytical techniques. The Scopus and Web of Science databases were used to extract 663 articles on class imbalance data using a clustering approach published between 2010 and 2021. We used the VOS (Visualisation of Similarities) viewer to visualise the bibliometric analytical outcomes. Co-citation and co-word analysis were used to visualise the publication trend and identify areas of current research interest. The study's key findings evidenced a growing interest in the research domain. Herrera, f., and Chawla N. V. are dominant authors in this field, and China is leading the publication in the clustering approach for the big data imbalance problem. The top three affiliations are from China: Tsinghua University, the Chinese Academy of Sciences, and Beihang University. Conducting an in-depth bibliometric analysis using other databases such as Science Direct, IEEE, and Emerald is recommended. This study may assist researchers in understanding the nature of the big data imbalance problem using a clustering approach and providing insights for future research derived from these worldwide databases.

“…Besides that, to achieve the purpose of this paper, a literature review was utilised to analyse the issues by locating, evaluating, and integrating the data. A methodical, explicit, and repeatable procedure for identifying, evaluating, and synthesising the most recent corpus of completed and documented studies by researchers, scholars, and professionals is referred to as a systematic literature review [51,52,53]. There are various keywords and search engines used to collect articles that would help in answering the research questions.…”

Section: Search Strategymentioning

confidence: 99%

A Review on Software Quality Models for Learning Management Systems

Yarshini Thamilarasan,

Raja Rina Raja Ikram,

Mashanum Osman

et al. 2023

The objective of this paper is to review the basic software quality model and identify which existing software quality model and quality characteristics are suitable for Learning Management Systems. A literature review was conducted from the following sources - Science Direct, Scopus, and Elsevier. The search terms used are “online learning”, “basic software quality model” AND “learning management system”. The results of the literature review have identified five main software quality models commonly referred to in software quality literature – McCall, Boehm, FURPS, Dromey, and ISO 9126. In addition, ten common quality attributes for learning management systems identified are maintainability, portability, reliability, efficiency, usability, functionality, security, traceability, availability, and customizability. By identifying the most appropriate software quality model and characteristics for Learning Management Systems, this paper aims to provide guidance to developers and practitioners in the field of online learning to improve the quality and effectiveness of their systems.