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Institution

Xuzhou Institute of Technology

EducationXuzhou, China
About: Xuzhou Institute of Technology is a education organization based out in Xuzhou, China. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 1696 authors who have published 1521 publications receiving 13541 citations.


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Journal Article
TL;DR: In this paper, an optimum mixture ratio of foamed concrete was designed by mathematical statistics, which not only meet dry density,thermal conductivity, strength, pouring stability and other technical requirements of foammed concrete, but also is economical and easy to operate.
Abstract: On the basis of studying the properties of various raw materials of foamed concrete,a large number of experiments and the production practical experience,an optimum mixture ratio of foamed concrete was designed by mathematical statistics,which not only meet dry density,thermal conductivity,strength,pouring stability and other technical requirements of foamed concrete,but also is economical and easy to operate.The mixture ratio design achieved the purpose of controlling thermal conductivity and compressive strength of foamed concrete,therefore,it can be used to guide the production process of foamed concrete to ensure product quality control.

3 citations

Journal Article
TL;DR: Zhang et al. as mentioned in this paper tested the relationship between environmental pollution and economic growth of 47 prefecture-level resource-based cities from 2003 to 2009 using Environmental Kuznets Curve(EKC) model.
Abstract: Resource-based cities are a kind of special cities which have developed with the exploration of natural resources,and their resource-based industries account for a large share in the economyIn China,there are 118 resource-based cities which have made momentous contributions to the nation's development for decadesIn general,industrial production makes economic growth,as well as environmental pollutionThe higher the share of secondary sector in GDP is,the more pollution emissionThe average of share of secondary sector in GDP in resource-based cities is ten percentage points higher than that in all prefecture-level citiesThe pollution in resource-based cities is also more serious than that in these citiesWith industrial dust,industrial waste water and industrial SO2 as examples,this paper tests the relationship between environmental pollution and economic growth of 47 prefecture-level resource-based cities from 2003 to 2009 using Environmental Kuznets Curve(EKC) modelThe result shows that three pollutants are significant at 1% or 5% level of significanceHere,the EKC of dust emission shows N-shapedThe turning points are 1750 and 39287 yuan of GDP per capitaBut 1750 yuan is out of the sampleIn 2010,the GDP per capita is less than 39287 yuan in most resource-based citiesPer capita dust emission decreases with the increase of GDP per capita in most resource-based cities in the past several years,but will increase in the futureIt shows that economic growth is not decoupling with dust pollutantThe EKCs of waste water and SO2 show inverted U-shaped pattern,which is consistent with the general findings of the relation between economic growth and environmental pollutionThe turning points are 8371 and 16893 yuan respectivelyHerein,8371 yuan is at the right part of waste water EKC in more than half of these resource-based cities,while 16893 yuan is at the right part of SO2 EKC in just a quarter of themIn addition,we find that category of resources influence the shapes and turning points of EKC in resource-based citiesPollutants have various shapes of EKC in different kinds of resource-based citiesTurning points would come early in cities which polluted seriously and have low GDP per capitaCompared with the whole country,resource-based cities have earlier turning point if there are similar EKCFinally,some recommendations are offered to improve the sustainable development of resource-based cities such as taking environmental treatments,carrying out green transformation,developing circular economy and enlarging the overall control

3 citations

Journal ArticleDOI
TL;DR: Using quantitative structure-activity relationship (QSAR) and molecular docking to study the interaction between levofloxacin and thiadiazole histone deacetylase inhibitors and to provide guidance for future drug design.
Abstract: Using quantitative structure-activity relationship (QSAR) and molecular docking to study the interaction between levofloxacin and thiadiazole histone deacetylase inhibitors. The molecular electrical distance vector (MEDV) and multiple linear regression (MLR) were used to study the relationship between the structure and activity of compounds. The three equations obtained by multiple linear regression, their R2 = 0.976, 0.985 and 0.976, and their Rcv2 = 0.949, 0.977 and 0.932. The structures that affect HDAC1 and HDAC6 activity are -O- and -S-, and the structures that affect HDAC2 are -C- and -N-. Finally, molecular docking is used to study the binding of receptors and drug molecules to provide guidance for future drug design.

3 citations

Journal ArticleDOI
TL;DR: In this paper, co-digestion of dairy manure (DM) and Japanese knotweed (JK) was investigated at five different DM-to-JK mixing ratios (100:0, 90:10, 80:20, 60:40, and 0:100; wet weight basis) under thermophilic condition.
Abstract: Anaerobic co-digestion of animal manure and lignocellulosic biomass is a potent approach for sustainable biomethane production. Co-digestion of dairy manure (DM) and Japanese knotweed (JK), which was collected from a riverbank, was investigated at five different DM-to-JK mixing ratios (100:0, 90:10, 80:20, 60:40, and 0:100; wet weight basis) under thermophilic condition. The results showed that the methane yields obtain from the co-digestion of DM and JK were much higher than that obtained from JK alone (104 ml/gVS), which indicates the synergistic effect and the benefits of co-digesting JK with DM. The highest methane yield (232 ml/gVS) was obtained from the DM-to-JK ratio of 90:10, which was 14.9% and 123.1% higher than that from DM and JK alone, respectively. It also showed the highest synergistic effect (61 ml/gVS). However, further increase in JK ratios led to the decrease in methane yield and synergistic effect. Therefore, applying the co-digestion of DM and JK at a ratio of 90:10 is recommended for biomethane production.

3 citations

Journal ArticleDOI
TL;DR: The extraction technology of USWE is highly feasible to extract proanthocyanidins from defatted grape seed and has better scavenging action on DPPH free radical and NaNO2.
Abstract: OBJECTIVE To optimize the the ultrasound-assisted subcritical water extraction (USWE) parameters of proanthocyanidins from defatted grape seed, study antioxidant activity of proanthocyanidins and compare the effects of USWE and other extraction techniques. METHOD The 2 L equipment of USWE was designed and used to extract the proanthocyanidins. The factors including extraction temperature, extraction time and extraction pressure were studied. The best extraction condition was found through the response surface design. Antioxidant activity of proanthocyanidins was studied by its DPPH free radical and NaNO2 scavenging action. RESULT The USWE parameters were extraction temperature 145 degrees C, extraction time 18 min, extraction pressure 14 MPa and the extraction yield (EY) was 4.05% under this extraction condition. The proanthocyanidins extracted under this optimized extraction condition had better scavenging action on DPPH free radical and NaNO2. As compared with the conventional soxhlet's extraction and heat reflux extraction, the USWE cost less extraction time, and possessed high efficiency and so on. CONCLUSION The extraction technology of USWE is highly feasible to extract proanthocyanidins from defatted grape seed.

3 citations


Authors

Showing all 1711 results

NameH-indexPapersCitations
Peng Wang108167254529
Qiong Wu5131612933
Wenping Cao341764093
Bin Hu302133121
Syed Abdul Rehman Khan291312733
Jingui Duan29933807
Vivian C.H. Wu251052566
Lei Chen16991062
Chao Wang1674741
Wenbin Gong1627953
Jing Li16401025
Chao Liu1543737
Qinglin Wang1472595
Yaocheng Zhang1454566
Chao Wang1325774
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202228
2021328
2020181
2019121
201873