Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques.

The mining industry confronts significant challenges in mitigating airborne particulate matter (PM) pollution, necessitating innovative approaches for effective monitoring and prediction. This research focuses on the design and development of an Internet of Things (IoT)-based real-time monitoring system tailored for PM pollutants in surface mines, specifically PM 1.0, PM 2.

Structural equation modelling of work related musculoskeletal disorders among dumper operators.

The aim of this study is to investigate the impact of personal factors, habitual factors, and work-related factors on work-related musculoskeletal disorders (WRMSDs) among dumper operators. In total, 248 dumper operators working in an iron ore mine were considered for this study. A questionnaire was developed and administered to collect dumper operators' personal, habitual, and work-related data.

Drug Repositioning Using Computer-aided Drug Design (CADD).

Drug repositioning is a method of using authorized drugs for other unusually complex diseases. Compared to new drug development, this method is fast, low in cost, and effective. Through the use of outstanding bioinformatics tools, such as computer-aided drug design (CADD), computer strategies play a vital role in the re-transformation of drugs.

Quantitative Analysis of Solar Photovoltaic Panel Performance with Size-Varied Dust Pollutants Deposition Using Different Machine Learning Approaches.

In this paper, the impact of dust deposition on solar photovoltaic (PV) panels was examined, using experimental and machine learning (ML) approaches for different sizes of dust pollutants. The experimental investigation was performed using five different sizes of dust pollutants with a deposition density of 33.48 g/m on the panel surface.

Single-Stage Continent Reconstruction of Composite Pericommissural Defects Using a Combination of Pacman-Style Free Radial Forearm Flaps and Modified Elastic Musculomucosal Flaps.

 Based on the cross-innervation of buccal and marginal mandibular branches of the facial nerve, oblique elastic musculomucosal flaps (OEMMFs) can be harvested and used for continent neo-commissure and modiolus reconstructions. The composite pericommissural defects can then be reconstructed with double cutaneous paddles in Pacman-style free radial forearm flap (PFRFF). This novel single-stage continent reconstruction of composite post-excisional commissure and pericommissural (CPECPC) defects is evaluated in this study.