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This paper investigates the causative relation between information complexity and construction quality. The objectives are to identify the challenges faced in the communication of information and data on construction projects and determine how these barriers influence quality performance of a project.

Limitations in the literature on information seeking, coupled with the utilization of Theory of Motivated Information Management as a response led to the development of research problem statement. Through comprehensive review of literature published between the years 2005–2019, the paper first identified barriers of information communication in the industry and key performance indicators of construction quality, followed by content analyses to rank and screen out the least important variables. This paved the way for quantitative and qualitative analyses through 180 structured questionnaires and 11 expert opinion sessions that respectively led to the use of systems thinking approach to establish causality.

The study finds ineffective communication, unclear details, changes in contract, information delays, unpleasant relationships between stakeholders and project complexity as the most critical factors causing information complexity in a construction project. These factors cause a reduction in quality performance of a project through increased rework and decreased implementation of total quality management.

The study will assist project managers to diagnose quality-related issues in their projects, trace them back to the challenges and barriers of information communication and then make policy/strategic interventions to reduce such issues through improved information flow.

Majority of the studies in this field of work have identified the effects of ineffective information flow on overall project performance, but very few have focused specifically on the quality of construction projects.

Due to the eruption of the COVID-19 pandemic, many universities were forced to shift from the traditional learning practices to digital learning. Hence, the purpose of this study is to evaluate the factors that affect the university student's adoption of mobile technologies for mobile learning (m-learning) in their learning process.

Technology acceptance model (TAM) is incorporated to study the adoption of mobile learning by university students. Quantitative research technique is used as core research approach in this study. Structural equation modelling (SEM), which is a part of quantitative research method, was employed on the congregated data via a set of questionnaire from 268 University students. SEM is used to explore the relationships among the hypothesized constructs. SPSS and AMOS software were used for the analysis of data.

This study validated the updated TAM model and assessed the students' adoption of mobile technologies for m-learning during COVID-19. All the constructs of proposed model were found to be significant with more than 50% average variance extracted. It was found that two external constructs mobile system efficacy and mobile service efficacy appended in technology acceptance model show the direct positive effect on perceived usefulness and perceived ease of use constructs. However, hypothesized relationships were found to be unsupported among perceived usefulness and perceived ease of use. Furthermore, perceived usefulness and ease of use during m-learning impact the students' usage attitude which consequently impact the students' adoption behaviour towards adoption of mobile technology.

Six constructs were considered for this study; however, mobile information quality for mobile learning was not included which could affect students' adoption criteria. Additionally, this study is limited to a country where future study needs validation of propose constructs in different demographic settings.

No study allied to the students' adoption of mobile technology for m-learning has accomplished in the context of India during COVID-19. Furthermore, TAM model has been updated with regard to the students' adoption of mobile learning during COVID-19 in Indian higher education setting.

This review deals with the pros and cons of ultraviolet (UV) radiation on human beings and the role of textile clothing and the chemicals used for textiles to protect from their harmful effects.

UV radiation (UVR) which has further divided into UVA, UVB, and UVC. Almost 100% of UVC and major portion of UVB are bounced back to stratosphere by ozone layer while UVA enters the earth atmosphere. Excessive exposure of solar or artificial UVR exhibit potential risks to human health. UVR is a major carcinogen and excessive exposure of solar radiation in sunlight can cause cancer in the lip, skin squamous cell, basal cell and cutaneous melanoma, particularly in people with the fair skin.

This article aims to provide a comprehensive overview of the harmful effects of UVR on human skin, factors affecting UV irradiance and factors affecting UV protection offered by textile clothing.

Effect of fiber properties, yarn properties, fabric construction, fabric treatments and laundering has been reviewed along with the identification of gaps in the reported research. A comparison of inorganic and organic UV absorbers has also been given along with different testing and evaluation methods for UV protective clothing.