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Properties and catalytic mechanism of -glutamyltranspeptidase from NX-2

WANG Qian, YAO Zhong, XUN Zhijing, XU Xiaoying, XU Hong, WEI Ping

Frontiers of Chemical Science and Engineering 2008, Volume 2, Issue 4,   Pages 456-461 doi: 10.1007/s11705-008-0075-3

Abstract: catalyses the transfer of the -glutamyl moiety to a variety of amino acids and short peptides, GGT has importantpractical value for enzymatic synthesis of -glutamyl compounds.

Keywords: catalytic mechanism     mmol·min·L     D-glutamine     affinity parameter     important practical    

The development trend and practical innovation of smart cities under the integration of new technologies

Xiaohong CHEN

Frontiers of Engineering Management 2019, Volume 6, Issue 4,   Pages 485-502 doi: 10.1007/s42524-019-0057-9

Abstract: These cities have conducted practical innovations and typical cases in many sectors, such as in government

Keywords: new technology integration     smart city     big data     practical innovation    

Flocculation behaviors of a novel papermaking sludge-based flocculant in practical printing and dyeing

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-021-1390-x

Abstract:

•PSBF performed better than PAC and PAM in CODCr removals.

Keywords: Practical wastewater treatment     Commercial coagulant/flocculant     Secondary coagulation-flocculation process    

P2P energy trading via public power networks: Practical challenges, emerging solutions, and the way forward

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 189-197 doi: 10.1007/s11708-023-0873-9

Abstract: In this paper, the practical challenges of conducting P2P energy trading via public power networks areidentified and presented, based on the analysis of a practical Local Virtual Private Networks (LVPNs

Keywords: distribution network     local virtual private network     network charges     peer-to-peer (P2P) energy trading     practical    

A reliable and practical reference objective for the deviation diagnosis of energy system parameters

Liping LI, Zheng LI,

Frontiers in Energy 2009, Volume 3, Issue 4,   Pages 440-445 doi: 10.1007/s11708-009-0051-8

Abstract: The core objective to optimize a complex energy system is to set the reference target to guide the parameter adjustment of system operation. In this paper, a new case-based approach is proposed based on an online performance assessment program and its long-term operation data for a large power unit. The online model of a coal-fired power unit’s performance assessment is demonstrated, and the distribution pattern of the performance index is revealed by statistical analysis of the abundant data. The fundamental issues (representation of the similarity of two thermal processes, similarity measure, etc.) are tackled. The key sections and key parameters for the completion of similarity determination are proposed, which are essential to realize a case-based strategy. A full-scope simulator of power unit is used to test the availability of the method. The advantage of the case-based approach is the integrality of information over other methods.

Keywords: energy system     case-based     optimization     power unit operation     performance    

Innovation, practical benefits and prospects for the future development of automatic milking systems

Hongzhe JIANG,Wei WANG,Chunyang LI,Wei WANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 1,   Pages 37-47 doi: 10.15302/J-FASE-2016117

Abstract: Nevertheless, this innovation has not been reviewed comprehensively and the practical benefits of AMS

Keywords: automatic milking systems (AMS)     innovation     milking machine     practical effect     future prospects    

Environmental pollution and DNA methylation: carcinogenesis, clinical significance, and practical applications

Yi Cao

Frontiers of Medicine 2015, Volume 9, Issue 3,   Pages 261-274 doi: 10.1007/s11684-015-0406-y

Abstract: Epigenetic changes caused by environmental pollution play important roles in the development and progression

Keywords: environmental pollution     DNA methylation     cancer     biomarker     diagnosis     therapy     prevention    

Elements’ important ranking of China drug safety management system: applying the non-structural

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 290-299 doi: 10.1007/s11705-009-0283-5

Abstract: Drug safety management is an important issue in China drug management system and attracts great attentionsIn order to reduce drug incident, this study discusses some important elements associated with ChinaBesides, a methodology for rating the important elements is described and applied.The results indicate that the sample systems are the most important in these important elements, andThis study not only points out the important ranking of the pivotal elements in China drug safety management

Keywords: management system     different     management     important ranking     non-structural fuzzy    

Presentation of machine learning methods to determine the most important factors affecting road traffic

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 657-666 doi: 10.1007/s11709-022-0827-z

Abstract: The purpose of this research was to develop statistical and intelligent models for predicting the severity of road traffic accidents (RTAs) on rural roads. Multiple Logistic Regression (MLR) was used to predict the likelihood of RTAs. For more accurate prediction, Multi-Layer Perceptron (MLP) and Radius Basis Function (RBF) neural networks were applied. Results indicated that in MLR, the model obtained from the backward method with the correct percent of 84.7% and R2 value of 0.893 was the best method for predicting the likelihood of RTAs. Also, MLR showed that the variables of not paying attention to the front not paying attention to the frontroad ahead, followed byand then vehicle-motorcycle/bike accidents were the greatest problems. Among the models, MLP had a better performance, so that the prediction accuracy of MLR, MLP, and RBF were 84.7%, 96.7%, and 92.1%, respectively. MLP model, due to higher accuracy, showed that the variable of reason of accident had the highest effect on the prediction of accidents, and considering MLR results, the variables of not paying attention to the front and then vehicle-motorcycle/bike accidents had the most influence on the occurrence of accidents. Therefore, motorcyclists and cyclists are more prone to accidents, and appropriate solutions should be adopted to enhance their safety.

Keywords: safety     rural accidents     multiple logistic regression     artificial neural networks    

A practical multi-lane factor model of bridges based on multi-truck presence considering lane load disparities

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 877-894 doi: 10.1007/s11709-021-0756-2

Abstract: Many bridge design specifications consider multi-lane factors (MLFs) a critical component of the traffic load model. Measured multi-lane traffic data generally exhibit significant lane disparities in traffic loads over multiple lanes. However, these disparities are not considered in current specifications. To address this drawback, a multi-coefficient MLF model was developed based on an improved probabilistic statistical approach that considers the presence of multiple trucks. The proposed MLF model and approach were calibrated and demonstrated through an example site. The model sensitivity analysis demonstrated the significant influence of lane disparity of truck traffic volume and truck weight distribution on the MLF. Using the proposed approach, the experimental site study yielded MLFs comparable with those directly calculated using traffic load effects. The exclusion of overloaded trucks caused the proposed approach, existing design specifications, and conventional approach of ignoring lane load disparity to generate comparable MLFs, while the MLFs based on the proposed approach were the most comprehensive. The inclusion of overloaded trucks caused the conventional approach and design specifications to overestimate the MLFs significantly. Finally, the benefits of the research results to bridge practitioners were discussed.

Keywords: bridges     multi-lane factor     traffic load     lane load disparity     multi-truck presence     weigh-in-motion data    

Genomic regions under selection for important traits in domestic horse breeds

Xuexue LIU, Yuehui MA, Lin JIANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 289-294 doi: 10.15302/J-FASE-2017155

Abstract: studies and genome wide analyses to identify the genomic regions targeted by positive selection for four important

Keywords: horse     coat color     racing performance     gait     height    

Recent advances in understanding genetic variants associated with economically important traits in sheep

Song-Song XU, Meng-Hua LI

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 279-288 doi: 10.15302/J-FASE-2017151

Abstract: Sheep are one of the most economically important domesticated animals for human society.Additionally, comprehensive information on functional genes and genetic variants associated with economically important

Keywords: sheep     high-throughput screening     productive traits     genome-wide studies    

Five important issues in the present field of knowledge discovery

Yang Bingru

Strategic Study of CAE 2009, Volume 11, Issue 4,   Pages 76-83

Abstract:

In this paper, the author summarized and proposed five important issuesin the present field of knowledge discovery and data mining, which comprise two important core issues, two conjectures, challenge issues in mainstream development, important issues of relevant fields in

Keywords: important core issues in KD     conjectures in KD     challenge issues in KD     protein secondary structure prediction    

Confined masonry as practical seismic construction alternative–the experience from the 2014 Cephalonia

Fillitsa KARANTONI, Stavroula PANTAZOPOULOU, Athanasios GANAS

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 3,   Pages 270-290 doi: 10.1007/s11709-017-0390-1

Abstract:

During August 1953 three strong earthquakes of magnitude ranging from 6.3 to 7.2 shook the Ionian Island of Cephalonia (Kefalonia), Greece, and destroyed almost the entire building stock of the Island which consisted primarily of traditional unreinforced masonry (URM) houses. The authorities went on to restructuring of the building stock, using a structural system that is most like what is known today as confined masonry. They designed about 14 types of one- to two-storey buildings providing the engineers with detailed construction plans. These buildings are known as “Arogi” buildings (Arogi in Greek meaning Aid). On the 24th of January and 3rd of February 2014, two earthquakes of magnitude 6.1 and 6.0 struck the island, causing significant soil damages, developing excessively high ground accelerations. Surprisingly, no damage was reported in the “Arogi” buildings. The seismic behavior of the buildings is examined by FEM linear analysis and it is compared to that of URM structures. Computed results illustrate that the displacements of identical URM buildings would be about twice the magnitudes observed in the corresponding “Arogi” ones, with the implication that the earthquake sequence of 2014 would have caused critical damage should the type of structure be of the URM type. Furthermore, it is illustrated that this low cost alternative method of construction is a very effective means of producing earthquake resilient structures, whereas further reduction of seismic displacement may be achieved in the order of 50% with commensurate effects on damage potential, when reinforced slabs are used to replace the timber roofs.

Keywords: Cephalonia     confined masonry     comparative FEM analysis     unreinforced masonry     seismic damage    

Clinical factors associated with composition of lung microbiota and important taxa predicting clinical

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 389-402 doi: 10.1007/s11684-021-0856-3

Abstract: Few studies have described the key features and prognostic roles of lung microbiota in patients with severe community-acquired pneumonia (SCAP). We prospectively enrolled consecutive SCAP patients admitted to ICU. Bronchoscopy was performed at bedside within 48 h of ICU admission, and 16S rRNA gene sequencing was applied to the collected bronchoalveolar lavage fluid. The primary outcome was clinical improvements defined as a decrease of 2 categories and above on a 7-category ordinal scale within 14 days following bronchoscopy. Sixty-seven patients were included. Multivariable permutational multivariate analysis of variance found that positive bacteria lab test results had the strongest independent association with lung microbiota (R2=0.033; P=0.018), followed by acute kidney injury (AKI; R2=0.032; P=0.011) and plasma MIP-1β level (R2=0.027; P=0.044). Random forest identified that the families Prevotellaceae, Moraxellaceae, and Staphylococcaceae were the biomarkers related to the positive bacteria lab test results. Multivariable Cox regression showed that the increase in α-diversity and the abundance of the families Prevotellaceae and Actinomycetaceae were associated with clinical improvements. The positive bacteria lab test results, AKI, and plasma MIP-1β level were associated with patients’ lung microbiota composition on ICU admission. The families Prevotellaceae and Actinomycetaceae on admission predicted clinical improvements.

Keywords: severe community-acquired pneumonia     lung microbiota     clinical improvements     7-category ordinal scale     Prevotellaceae    

Title Author Date Type Operation

Properties and catalytic mechanism of -glutamyltranspeptidase from NX-2

WANG Qian, YAO Zhong, XUN Zhijing, XU Xiaoying, XU Hong, WEI Ping

Journal Article

The development trend and practical innovation of smart cities under the integration of new technologies

Xiaohong CHEN

Journal Article

Flocculation behaviors of a novel papermaking sludge-based flocculant in practical printing and dyeing

Journal Article

P2P energy trading via public power networks: Practical challenges, emerging solutions, and the way forward

Journal Article

A reliable and practical reference objective for the deviation diagnosis of energy system parameters

Liping LI, Zheng LI,

Journal Article

Innovation, practical benefits and prospects for the future development of automatic milking systems

Hongzhe JIANG,Wei WANG,Chunyang LI,Wei WANG

Journal Article

Environmental pollution and DNA methylation: carcinogenesis, clinical significance, and practical applications

Yi Cao

Journal Article

Elements’ important ranking of China drug safety management system: applying the non-structural

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Journal Article

Presentation of machine learning methods to determine the most important factors affecting road traffic

Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI

Journal Article

A practical multi-lane factor model of bridges based on multi-truck presence considering lane load disparities

Journal Article

Genomic regions under selection for important traits in domestic horse breeds

Xuexue LIU, Yuehui MA, Lin JIANG

Journal Article

Recent advances in understanding genetic variants associated with economically important traits in sheep

Song-Song XU, Meng-Hua LI

Journal Article

Five important issues in the present field of knowledge discovery

Yang Bingru

Journal Article

Confined masonry as practical seismic construction alternative–the experience from the 2014 Cephalonia

Fillitsa KARANTONI, Stavroula PANTAZOPOULOU, Athanasios GANAS

Journal Article

Clinical factors associated with composition of lung microbiota and important taxa predicting clinical

Journal Article