In this paper, a brand new strategy that integrates latent Dirichlet allocation (LDA), term frequency-inverse document regularity (TF-IDF), social networking analysis (SNA), and a hidden Markov model (HMM) is suggested for GT recognition. The LDA design was utilized to extract hidden information of eco-friendly products. In inclusion, systematic linkage, betweenness centrality, technology co-occurrence rate, the sheer number of patents, and also the range good countries or territories designated by the patent were selected to analyse the technology topic qualities. Then, the fundamentality, pervasiveness, and advantage characteristics of GTs had been combined to identify GTs of eco-friendly materials. About this basis, HMM ended up being employed to predict the advancement trend of GTs. The results reveal that sixteen technologies are GTs of eco-friendly products. Moreover, degradable composite materials and cellulose removal practices becomes the focus of study later on. These scientific studies can provide a unique method for the recognition of GTs of eco-friendly products and help nations or companies to help make let-7 biogenesis effective choices to develop GTs, reducing the burden in the environment.Long-term retention and buildup of hefty metals in surface liquid and sediment pose outstanding danger into the sustainable growth of aquatic ecosystems and real human health. In this analysis, macrozoobenthos, and area liquid and sediment heavy metal (Mn, Cr, Cu, Ni, Pb, Zn, Cd, and As) samples were collected from 23 sites into the top and middle reaches of the Heihe River into the summers of 2019-2020. The interrelationships between hefty metals and macrozoobenthos were analyzed by Pearson correlation analysis and redundancy analysis (RDA), and also the contamination level and prospective environmental risk of the hefty metals in surface water and sediments were considered by extensive air pollution index (WQI), solitary prospective ecological risk index ([Formula see text]), and sediment high quality guideline-quotient (SQG-Q), respectively. The results showed that the amount of heavy metal air pollution when you look at the surface water of the Heihe River had been acutely low, however the articles of Mn and Pb exceeded the next course of surface water and Basommatophora, Coleoptera, Hemiptera, and Araneae can be used as signal types for heavy metal and rock pollution in area sediments. The research indicated that macroinvertebrate neighborhood traits had a sensitive reaction to hefty metals into the surface waters and sediments of the Heihe River, that can be used to evaluate the air pollution standing of hefty metals in inland rivers.Chemical fractions of heavy metals (Mo, Ni, Cu, Zn, Fe, Mn, Pb, Cd, and Cr) and compositions of bacteria and fungi in surface sediments from the Mo-Ni polymetallic mine area had been examined. The results indicated that the mean concentrations of Mo, Ni, Cu, Zn, and Cd were Medical pluralism greater than their back ground values. The mean percentage of Cr in residual small fraction had been a lot higher than compared to other heavy metals. Mo, Cu, Zn, Fe, and Pb were primarily connected with oxidizable fraction. The dominant proportions of Mn and Cd had been found in exchangeable fraction with mean percentages of 93.46per cent and 54.50%, respectively. Relating to RAC classification and prospective ecological risk index (PERI), the Cd with a high bioavailability had an extremely large environmental threat. The MisSeq sequencing results of micro-organisms and fungi revealed that microbial communities discrepantly react to different sampling websites. The essential abundant phylum of germs and fungi had been Proteobacteria and Ascomycota, respectively. The bioavailable heavy metals including Mo-B, Pb-B, and Cd-B were recognized to have important impacts on both principal microbial and fungal communities. The present study manifested that the bioavailability of rock is essential to evaluate the potential environmental threat and plays a vital part in shaping microbial framework.Occupational health and safety (OHS) risk evaluation research reports have attained relevance recently as a result of increasing occupational accidents and work-related conditions. Medical industry features a better risk than numerous sectors for work-related accidents and occupational conditions. Even though the wellness industry is among the priority sectors in Turkey, OHS practices haven’t been totally implemented in this field. As a result, this research adopts a two-stage method to evaluate the OHS risks when you look at the wellness sector by combining the Fine-Kinney and multi-criteria reluctant fuzzy linguistic term ready (HFLTS) techniques. The recommended technique was applied to the OHS dangers in the operating room of a public hospital in chicken. As a solution to your problem, first, the possibility dangers and associated risks when you look at the running area had been decided by the experts. In this first stage, 44 dangers had been determined from the viewpoints of specialists and files of past incidents. Parameter loads had been then determined utilising the multi-criteria HFLTS strategy click here . The multi-criteria HFLTS method had been made use of to evaluate seven dangers is categorized as substantial-risk or maybe more in accordance with the Fine-Kinney strategy, taking into account parameter weights.