Hydrobiology of a flooding ecosystem. Lake Chenhu in Hanyang, Hubei, with preliminary estimation of its potential fisher production capacity

Yanling Liang,Ji Wang,Chuanlin Hu 江原大學校 附設 環境硏究所 1992 環境硏究 Vol.9 No.-

For the purpose of fishery development, a hydrobiological investigation of Lake Chenhu was carried out in 1983 with reference to the productivity of various food organisms as well as fish. Of the entire lake, the annual net primary production was determined to be 27,818 x 10? kcal for wet land vegetation. The annual secondary production chiefly from gastroposd was 2,632 x 10?kcal. On the basis of 1981-1982 fishery data, the production of the main stocked fishes in the lake was also roughly computed. Analysing all obtained production data. we find the energy conversion rate of food organisms to fish in the water at the present stage is fairly low. Even in 1982, the year of beller fishery management, food energy converted to plankton feeders or herbivores was only 1.6-1.8%: energy converted to fish yield was even lower, only 0.2-0.8%. To get a potential fish output of the ecosystem, a lentative estimation of fishery capacity of Lake Chenbu was made by uning the index of fond quotionts and relevant conversion factors. The theoretical fish production in the lake is estimated to be around 6,000 and through the improvement of fishery management and annual fish yield of 2,000 can be experted.

Annual production of Branchiura sowerbyi (Oligochaeta:Tubificidae) in the Donghu Lake, Wuhan, China

Yanling Liang 江原大學校 附設 環境硏究所 1992 環境硏究 Vol.9 No.-

Branchiura sowerbyi in the Donghu Lake (Wuhan. China) completes its life cycle in one year. Its production rates were 6.7 g m^(-3) yr^(-1) (wet weight) during the period from April 1962 to May 1963 and 8.6 g m^(-3) yr^(-1) during the period from August 1963 to August 1964. The standing stocks in corresponding periods were 1.9 g m^(-3) (wet weight) and 1.1 g m^(-3), and the P/B ratios were 3.6 and 7.8. Based on the standing stock during 1973-1975, an evaluation of recent productin levels of B. sowerbyi in Donghu Lake has also been made (i.e. 5.7-33.5 g m^(-3) yr^(-1).

Correlations of Fecal Bacterial Communities with Age and Living Region for the Elderly Living in Bama, Guangxi, China

Liang Zhao,Xuewei Qiao,Jun Zhu,Xiaoying Zhang,Jingli Jiang,Yanling Hao,Fazheng Ren 한국미생물학회 2011 The journal of microbiology Vol.49 No.2

Bama County (Guangxi, China) is famous for its longevous population. In this study, intestinal microflora of 17 healthy elderly subjects of different ages and from different regions (rural and urban) in Bama,were analyzed by denaturing gradient gel electrophoresis (DGGE). Significant effects of age and living region on the whole intestinal bacterial communities were observed by redundancy analysis (RDA). A total of 11 bacterial strains that were correlated with age and living region were identified using a t-value biplot combined with band sequencing. Four bacterial strains were correlated with both age and living region of the elderly in Bama. Two Bacteroides strains and one Ruminococcaceae strain were abundant in the rural, younger elderly; conversely, one Desulfovibrio strain was high in the urban, older elderly. Another Bacteroidetes strain was only correlated with the participant’s age, and its abundance increased with the age of the elderly. The richness of one Clostridium sordellii strain, which was only correlated with the elderly living region, was high in the urban elderly. The study also found five other novel bacterial strains that were correlated with the age or living region of the elderly in Bama. These results expand our understanding of age- and region-effects on the intestinal microflora of the elderly and raise the possibility of developing probiotics originating from centenarians.

Short-Term Wind Speed Forecast Based on Least Squares Support Vector Machine

Yanling Wang,Xing Zhou,Likai Liang,Mingjun Zhang,Qiang Zhang,Zhiqiang Niu 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.6

There are many factors that affect the wind speed. In addition, the randomness of wind speed also leads to lowprediction accuracy for wind speed. According to this situation, this paper constructs the short-timeforecasting model based on the least squares support vector machines (LSSVM) to forecast the wind speed. The basis of the model used in this paper is support vector regression (SVR), which is used to calculate theregression relationships between the historical data and forecasting data of wind speed. In order to improvethe forecast precision, historical data is clustered by cluster analysis so that the historical data whose changingtrend is similar with the forecasting data can be filtered out. The filtered historical data is used as the trainingsamples for SVR and the parameters would be optimized by particle swarm optimization (PSO). Theforecasting model is tested by actual data and the forecast precision is more accurate than the industrystandards. The results prove the feasibility and reliability of the model.

Waste-to-energy: biobutanol production from cellulosic residue of sweet potato by Clostridia acetobutylicum

Yanling Jin,Liang Zhang,Zhuolin Yi,Yang Fang,Hai Zhao 대한환경공학회 2022 Environmental Engineering Research Vol.27 No.5

Biobutanol has been emerging as a renewable replacement to overcome fossil fuel limit due to its attractive qualities. The waste resources utilization is an economically feasible and eco-friendly way to produce biobutanol. In this work, the potential of butanol fermentation with sweet potato residue (SPR) obtained from ethanol fermentation was evaluated. To assist sugar release for butanol production by Clostridia acetobutylicum, a pretreatment approach with dilute sulfuric acid was established via response surface methodology. The maximum butanol concentration of 3.77 g/L was obtained at the optimal conditions of pretreatment at 1% (v/v) dilute sulfuric acid, and 115℃ for 30 min. Detoxifying the hydrolysate with XAD-4 resin significantly enhanced butanol fermentation performance, while adding nutritional supplements had no significant influence. The stability of the fermentation process was verified by the 2 L-scale of fermentation, resulting in 7.96 g/L of butanol, 13.42 g/L h of Acetone-Butanol-Ethanol (ABE), and 0.34 g/g of ABE yield, respectively. This study demonstrates a bio-refinery strategy of conversion from waste biomass to energy, confirms the feasibility of utilizing the cost saving SPR as feedstock to produce butanol through fermentation, and provides a novel approach for minimization of environmental pollution.

Simulation and Investigation of Humidity Sensor based on Fiber Grating Fabry-Perot

Xiong Yanling,Liang Huan,Ren Naikui,Han Junsheng,Wu Mingze 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.6

In this article we have discussed the relative humidity sensor based on fiber grating Fabry-Perot (FBG-FP) coated with polyimide (PI) as a moisture sensitive film in theory. The moisture expansion coefficient of PI film as moisture strain on the FBG-FP sensor, which will result the change of the fiber core effective refractive index, the length of the F-P cavity and the period and effective refractive index of FBG. For that reason, the interference fringes of the reflection spectrum will be changed also. The shift of peak wavelength of the spectrum is traced by the simulation of Matlab. We discuss three situations: the coating on the FBG, FP cavity and the both, and regardless of the temperature changes, the simulation results show that the RH sensitivity can reach to 3.77pm/%RH, 2.12 pm/%RH, 4.05 pm/%RH, respectively.

Study on FBG Wavelength Demodulation System with the Continuous Dynamic Scanning of Tunable DFB Laser

Xiong Yanling,Li Qiaoyi,Yang Wenlong,Yu Shengzuo,Ren Naikui,Liang Huan 보안공학연구지원센터(IJSIP) 2014 International Journal of Signal Processing, Image Vol.7 No.3

Detection technologies for RNA modifications

Zhang Yanling,Lu Liang,Li Xiaoyu 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-

To date, more than 170 chemical modifications have been characterized in RNA, providing a new layer of gene expression regulation termed the ‘epitranscriptome’. RNA modification detection methods and tools advance the functional studies of the epitranscriptome. According to the detection throughput and principles, existing RNA modification detection technologies can be categorized into four classes, including quantification methods, locus-specific detection methods, next-generation sequencing-based detection technologies and nanopore direct RNA sequencing-based technologies. In this review, we summarize the current knowledge about these RNA modification detection technologies and discuss the challenges for the existing detection tools, providing information for a comprehensive understanding of the epitranscriptome.

Short-Term Wind Speed Forecast Based on Least Squares Support Vector Machine

Wang, Yanling,Zhou, Xing,Liang, Likai,Zhang, Mingjun,Zhang, Qiang,Niu, Zhiqiang Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.6

There are many factors that affect the wind speed. In addition, the randomness of wind speed also leads to low prediction accuracy for wind speed. According to this situation, this paper constructs the short-time forecasting model based on the least squares support vector machines (LSSVM) to forecast the wind speed. The basis of the model used in this paper is support vector regression (SVR), which is used to calculate the regression relationships between the historical data and forecasting data of wind speed. In order to improve the forecast precision, historical data is clustered by cluster analysis so that the historical data whose changing trend is similar with the forecasting data can be filtered out. The filtered historical data is used as the training samples for SVR and the parameters would be optimized by particle swarm optimization (PSO). The forecasting model is tested by actual data and the forecast precision is more accurate than the industry standards. The results prove the feasibility and reliability of the model.

Study on Thermal Load Capacity of Transmission Line Based on IEEE Standard

Fan Song,Yanling Wang,Lei Zhao,Kun Qin,Likai Liang,Zhijun Yin,Weihua Tao 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.3

With the sustained and rapid development of new energy sources, the demand for electric energy is increasingday by day. However, China’s energy distribution is not balanced, and the construction of transmission lines isin a serious lag behind the improvement of generating capacity. So there is an urgent need to increase theutilization of transmission capacity. The transmission capacity is mainly limited by the maximum allowableoperating temperature of conductor. At present, the evaluation of transmission capacity mostly adopts the staticthermal rating (STR) method under severe environment. Dynamic thermal rating (DTR) technique canimprove the utilization of transmission capacity to a certain extent. In this paper, the meteorological parametersaffecting the conductor temperature are analyzed with the IEEE standard thermal equivalent equation ofoverhead transmission lines, and the real load capacity of 220 kV transmission line is calculated with 7-yearactual meteorological data in Weihai. Finally, the thermal load capacity of DTR relative to STR under givenconfidence is analyzed. By identifying the key parameters that affect the thermal rating and analyzing therelevant environmental parameters that affect the conductor temperature, this paper provides a theoretical basisfor the wind power grid integration and grid intelligence. The results show that the thermal load potential oftransmission lines can be effectively excavated by DTR, which provides a theoretical basis for improving theabsorptive capacity of power grid.