Introduction: Despite significant reductions, the number of injuries and fatalities in mining remains high. A persistent area of concern continues to be equipment-related incidents.
Method: Mine Safety and Health Administration (MSHA) and Current Population Survey (CPS) data were used to examine equipment-related injuries over the period 1995-2004. Incidents were reviewed to determine which types of mining equipment were most often involved and to identify and characterize trends.
Results: Non-powered hand tools was the equipment category most often involved with non-fatal injuries while off-road ore haulage was the most common source of fatalities.
Summary: Younger employees had an elevated risk of injury while workers >55 years had an elevated risk for fatality. A large majority of incidents involve workers with <5 years experience.
Impact On Industry: Results should increase hazard awareness and enable mine management to select and prioritize problem areas and safety system weaknesses in both underground and surface mining.
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http://dx.doi.org/10.1016/j.jsr.2007.03.011 | DOI Listing |
Nano Lett
January 2025
National Key Laboratory of Uranium Resources Exploration-Mining and Nuclear Remote Sensing, East China University of Technology, Nanchang 330013, China.
Efficient sacrificial-agent-free photosynthesis of HO from air and water represents the greenest, lowest-cost, most real-time avenue for HO production but remains a challenging issue. Here, we show a general and effective approach through a structural design on covalent organic frameworks (COFs) with asymmetric dual-function hybrid linkages for boosting the HO photosynthesis of the COFs. Through such design we can equip a COF with not only a catalytic active center but also a special function for isolating the D-A motif, which consequently endows the COF (CI-COF) built on asymmetric dual-function hybrid linkages with a significantly enhanced efficiency in the generation, transmission, and separation of photogenerated carriers, relative to the COF (II-COF and CC-COF) built on symmetric single-function single linkages.
View Article and Find Full Text PDFHeliyon
January 2025
Institute of Biology, Faculty of Sciences, University of Pécs, H-7624, Pécs, Hungary.
In the global effort to discover or design new effective antibiotics to fight infectious diseases, the increasingly available multi-omics data with novel bioinformatics tools open up new horizons for the exploration of the genetic potential of bacteria to synthesize bioactive secondary metabolites. Rare actinomycetes are a prolific source of structurally diverse secondary metabolites that exhibit remarkable clinical and industrial importance. Recently several excellent genome mining tools have been available for identifying biosynthetic gene clusters, however in cases of poor-quality sequences and inappropriate genome assembly, these tools are not always able to identify the corresponding gene clusters.
View Article and Find Full Text PDFJ Food Sci
January 2025
College of Engineering, Jiangxi Agricultural University, Nanchang, China.
In the intelligent harvesting of eggplant, the lack of in situ identification technology makes it challenging to determine the maturity of purple eggplant fruit. The length of the fruit-setting date can determine when the eggplant is ready to be harvested. This study uses deep learning techniques to predict the date of fruit maturity.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Coal Engineering, Shanxi Datong University, Datong 037000, China.
In the complex environment of fully mechanized mining faces, the current object detection algorithms face significant challenges in achieving optimal accuracy and real-time detection of mine personnel and safety helmets. This difficulty arises from factors such as uneven lighting conditions and equipment obstructions, which often lead to missed detections. Consequently, these limitations pose a considerable challenge to effective mine safety management.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Shenyang Research Institute, China Coal Technology and Engineering Group, Shenyang 113122, China.
The coal industry is a high risk, high difficulty industry, and the annual global mine accident rate is high, so the safety of coal mine underground operations has been a concern. With the development of technology, the application of intelligent security technology in coal mine safety has broad prospects. In this paper, the research progress of vital signs monitoring and support equipment for underground personnel in coal mines is reviewed.
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