The quality of mint and chamomile tea brands available in the retail market in Bosnia and Herzegovina were assessed based on their total phenolic and flavonoids contents, total antioxidant capacity and levels of heavy metals (Cd, Pb, Cr, Fe and Cu). The results showed that both the mint and chamomile had high amounts of phenolic compounds and high antioxidant activity rates. However, the total phenolics and flavonoids were significantly higher in the mint than in the chamomile. The studied toxic heavy metals (Pb, Cd and Cr) were present at non-toxic levels in all the herbal tea samples, while the levels of Fe and Cu in some herbal teas slightly exceeded the World Health Organization’s permissible limits. Accordingly, the results of this study indicate that the potential health risk of Cd, Cr and Pb exposure through the consumption of studied herbal teas appears to be very low with no significant health implications to consumers. Contrary, based on the samples examined in this study, the consumption of herbal teas could expose the consumer to the potential health risks associated with Cu and Fe. Therefore, further studies are needed to test this possibility.

The analysis of data on the sensory evaluation of the quality of wines obtained using traditional technologies in the Krasnodar Territory, Russia, was carried out using the statistical ranking criteria – the Spearman and Kendall correlation coefficients, as well as the positional analysis – Cronbach's alpha. Data on the sensory evaluation of 60 samples of natural dry red and white wines are presented, among which 20 are white wines, 40 are red wines produced in 2010–2015. Eleven specialists aged between 32 and 66 years (the average age was 50 years; 4 females and 7 males) participated in the sensory evaluation procedure. All participants are considered experts in the field of wine, work in the wine industry and have professional experience in the field of sensory analysis. The results of the consistency study of expert evaluations, the reliability of the general score scale, as well as the analysis of the loyalty of experts in the wine quality assessment are presented in the article. The reliability of the proposed loyalty scale is shown, i.e., the scale of the sum of scores given by each expert in the evaluation of the quality of wines. The database on the sensory evaluation of the quality of wines, obtained for all wine samples using positional analysis, makes it possible to assess the contribution of each of the 60 wine samples to their ranking by mean scores. The data may be of interest to scientists and oenologists for the wine quality assessment.

Abstract Background Translation is a tightly regulated process, controlling the rate of protein synthesis in cells. Ribosome sequencing (Ribo-Seq) is a recently developed tool for studying actively translated mRNA and can thus directly address translational regulation. Ribo-Seq libraries need to be sequenced to a great depth due to high contamination by rRNA and other contaminating nucleic acid fragments. Deep sequencing is expensive, and it generates large volumes of data, making data analysis complicated and time consuming. Methods and results Here we developed a platform for Ribo-Seq library construction and data analysis to enable rapid quality assessment of Ribo-Seq libraries with the help of a small-scale sequencer. Our data show that several qualitative features of a Ribo-Seq library, such as read length distribution, P-site distribution, reading frame and triplet periodicity, can be effectively evaluated using only the data generated by a benchtop sequencer with a very limited number of reads. Conclusion Our pipeline enables rapid evaluation of Ribo-Seq libraries, opening up possibilities for optimization of Ribo-Seq library construction from difficult samples, and leading to better decision making prior to more costly deep sequencing.

Scientific evaluation of cultivated land quality is the premise for ensuring food security and improving land quality. In this research, new evaluation method was developed referring to the Soil Quality Index method, using Xiangzhou District, Hubei province, China, as the studying area. Five first-level indicators including physical and chemical properties, nutrient condition, management condition, health condition and ecological environmental condition of cultivated land were selected for construction of the index system. 28 second-level indicators including topographic position, organic matter, active potassium, effective phosphorus, effective sulfur, effective boron, cadmium concentration, soil runoff nitrogen, soil runoff phosphorus, etc., were selected. Interpolation methods were compared between Inverse Distance Weighted (IDW) method, Spline method and Ordinary Kriging (OK) method at different evaluation scales to reduce the effect of modifiable areal unit problem (MAUP). The IDW method at the small scale was finally performed in the evaluation process. The results showed that the average cultivated land quality index was 6.09 in Xiangzhou District. The main limiting factors of cultivated land quality included soil bulk density, organic matter, effective phosphorus, pH, effective boron, effective sulfur, soil runoff nitrogen and phosphorus. Therefore, land quality improving suggestions were put forward by adopting ecological agricultural engineering and applying suitable organic fertilizer.

Environmental constraints are not only important aspects that affect the cultivated land quality but also necessary factors that shall be considered when evaluating the cultivated land quality scientifically. Moreover, identifying the quality condition of cultivated land accurately is the premise for guaranteeing food security. Based on the case study of diluvial fan terrain in Jimsar County, Xinjiang in the arid region of Northwest China, this study utilizes a geographic information system spatial analysis and a multifactor comprehensive evaluation method and constructs a comprehensive evaluation index system for cultivated land quality on account of three dimensions, namely soil properties, farming conditions, and natural environmental conditions. To reduce the Modifiable Areal Unit Problem (MAUP) effect and improve the accuracy of the quality evaluation results of cultivated land, this study compares the spatial interpolation methods of Inverse Distance Weighted Matrix (IDW), Ordinary Kriging (OK), and Spline Functions (Spline) based on different cultivated land evaluation units. Through the assessment on the comparison results, we finally adopted large-scale cultivated land as the quality evaluation unit of cultivated land and Ordinary Kriging (OK) as the spatial interpolation method. The results indicated that the average grade of the quality index of cultivated land in the diluvial fan terrain of Jimsar County is 6.66 at the middle or lower level; the quality of cultivated land and natural environment conditions reduce with the rise of elevation of the diluvial fan terrain, indicating a vertical zonality differentiation rule; the farming conditions keep sliding from the middle part of diluvial fan terrain to the edge of the diluvial fan terrain and the piedmont slope. The major factors affecting the quality of the cultivated land include the soil capacity, soil pH, soil organic matter, the quantity of straw returning to the field, source of irrigation water, water delivery method, part of the diluvial fan, groundwater level depth, and geomorphic type. Therefore, the measures to improve the quality of the cultivated land are put forward, mainly including improving the soil, carrying out land consolidation projects, and developing highly efficient water-saving irrigation agriculture. This study provides favorable references and directions for the sustainable utilization and quality improvement of cultivated land resources in arid regions.

To solve the actual problems of accurate control of flow and quality during the verification of natural gas, an intelligent metrological verification system applicable to the medium-high pressure gas under the condition of multiple sources was researched and developed, so that the communication barriers between industrial control and data processing system during the original verification process were broken, with the data of multiple systems fused and interconnected with the instructions and interacted in real time, realizing the full intelligent control of verification equipment. With the system, a quality control system platform for standard equipment was established, the variation trend and impact of the deviation of standard equipment were assessed in real time through risk prediction, the performance evaluation business of flow meters was expanded, the operation status of flow meters in the full life cycle was analyzed and evaluated by establishing a multi-dimensional mathematical analysis model, the whole-process remote operation of the operation station control system of the data center was realized by reconstructing the operation mode of verification, and the intelligent assembling and disassembling of instruments with explosion-proof AGV vehicles, explosion-proof mechanical arms, and a customized vision measurement system was explored. Moreover, the prospect was made to the intelligent metrological verification technology of natural gas in the 3 aspects of the online verification and calibration technology, the intelligent upgrading of metering technology, and the industrialized metrological platform.

The quality of aquaculture waters is directly related to water management and aquaculture efficiency, which puts forward higher requirements for water quality evaluation. Based on the consideration of the influence of temporal and spatial changes on the water quality, this paper proposed an improved fuzzy comprehensive evaluation method for aquaculture water quality evaluation. Specifically, constructing a new membership function in the first place, and then selecting dissolved oxygen, pH, temperature and ammonia nitrogen content as water quality indexes for aquaculture, after that, collecting 60 sets of water quality index for different seasons in the past three years, finally, evaluating the water quality of Yangjiabo Aquaculture Base. Meanwhile, comparing it with the evaluation results of the single factor evaluation method and the traditional fuzzy evaluation method. The results show that the water quality of the Yangjiabo Aquaculture Base is at the worst level in winter, and the water quality has improved significantly in spring, summer and autumn. Compared with the other two method, the improved method can comprehensively reflect the changes in water quality with time and space, which is more practical, and so it can be considered to provide a scientific basis for efficient aquaculture and water quality classification.

The quality of aquaculture waters is directly related to water management and aquaculture efficiency, which puts forward higher requirements for water quality evaluation. Based on the consideration of the influence of temporal and spatial changes on the water quality, this paper proposed an improved fuzzy comprehensive evaluation method for aquaculture water quality evaluation. Specifically, constructing a new membership function in the first place, and then selecting dissolved oxygen, pH, temperature and ammonia nitrogen content as water quality indexes for aquaculture, after that, collecting 60 sets of water quality index for different seasons in the past three years, finally, evaluating the water quality of Yangjiabo Aquaculture Base. Meanwhile, comparing it with the evaluation results of the single factor evaluation method and the traditional fuzzy evaluation method. The results show that the water quality of the Yangjiabo Aquaculture Base is at the worst level in winter, and the water quality has improved significantly in spring, summer and autumn. Compared with the other two method, the improved method can comprehensively reflect the changes in water quality with time and space, which is more practical, and so it can be considered to provide a scientific basis for efficient aquaculture and water quality classification.

In order to explore the effective method of ecological environment quality evaluation the of environmental pollution treatment of energy consumption emits in industrial parks in China, based on a literature review, 21 evaluation indicators of four types were selected in this paper. With a hierarchical analysis method used to determine the relative weights of each evaluation indicator, and a two-level comprehensive fuzzy evaluation model reconstructed, a comprehensive evaluation study of ecological environment quality was carried out, taking the Nanjing MV Industrial Park as the research object. The evaluation results show that it can be seen that the ecological environment quality of the Nanjing MV Industrial Park has improved in certain degree. The evaluation results are in line with the actual situation, which verifies the validity of the comprehensive fuzzy evaluation model for the comprehensive evaluation of ecological environment quality. The research results have a guiding role for the management practice of environmental pollution in industrial parks and have a significant theoretical support for the government to formulate the ecological environment quality standards and related policies of industrial parks. Graphical Abstract

In response to the problems of large computational volume and tedious computational process of fuzzy integrated evaluation, and general neural network models without clear water quality training criteria, this paper organically combines fuzzy rules, affiliation function, and neural network, and proposes a comprehensive method for the evaluation of water quality based on a T-S fuzzy neural network. On the three water quality monitoring data of six national key monitoring stations in Taihu Lake Basin, three evaluation methods—the one-factor evaluation method, the fuzzy integrated evaluation method, and the T-S fuzzy neural network evaluation method—were used to comprehensively evaluate water environment quality, and the results showed that the T-S fuzzy neural network method has the advantages of convenient calculation, strong applicability, and scientific results.