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Application and mechanism of polysaccharide extracted from Enteromorpha to remove nano-ZnO and humic acid in coagulation process

Jianzhang Sun, Baoyu Gao, Yuanxia Luo, Moxi Xue, Xing Xu, Qinyan Yue, Yan Wang

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 3, doi: 10.1007/s11783-018-1029-8

Abstract: Enteromorpha polysaccharide (Ep) extracted from alga a novel green coagulant aid for nanoparticles (NPs) and heavy metal ions removal and the structure of EP was intensively studied in this study. The integration of Ep with polyaluminum chloride (PAC-Ep) coagulants exhibited higher coagulation performance than that of the polyaluminum chloride (PAC) because of the negatively charged NPs suspension and humic aid (HA) solution. Significant high removal efficiencies of dissolved organic matter (94.1%), turbidity (99.3%) and Zn ions (69.3%) were achieved by the PAC-Ep coagulants. The dual-coagulation properties of PAC-Ep for different pollutants was based on multiple mechanisms, including (i) Al charge neutralization; (ii) hydroxy aluminum hydroxyl bridging formed polynuclearhydroxy complexes bridge and sweep colloidal particles; (iii) adsorption and bridging of Ep chain for the NPs and heavy metal ions. Results indicated that the destabilization of colloid was induced by the coexisting HA and higher removal was achieved as ions adsorption was enhance in the presence of HA complexation. On the basis of that, the extraction of polysaccharide is a promising candidate for its high coagulation performance in water treatment.

Keywords： Algal Extraction     Enteromorpha polysaccharide     1H-13C nuclear magnetic resonance(NMR)     Fourier transform infrared (FTIR)     X-ray photoelectron spectroscopy (XPS)     Coagulation mechanism    

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Metabolomics in human type 2 diabetes research

Jingyi Lu, Guoxiang Xie, Weiping Jia, Wei Jia

Frontiers of Medicine 2013, Volume 7, Issue 1,   Pages 4-13 doi: 10.1007/s11684-013-0248-4

Abstract:

The high prevalence of diabetes and diabetic complications has caused a huge burden on the modern society. Although scientific advances have led to effective strategies for preventing and treating diabetes over the past several decades, little progress has been made toward curing the disease or even getting it under control, from a public health and overall societal standpoint. There is still a lack of reliable biomarkers indicative of metabolic alterations associated with diabetes and different drug responses, highlighting the need for the development of early diagnostic and prognostic markers for diabetes and diabetic complications. The emergence of metabolomics has allowed researchers to systemically measure the small molecule metabolites, which are sensitive to the changes of both environmental and genetic factors and therefore, could be regarded as the link between genotypes and phenotypes. During the last decade, the progression made in metabolomics has provided insightful information on disease development and disease onset prediction. Recent studies using metabolomics approach coupled with statistical tools to predict incident diabetes revealed a number of metabolites that are significantly altered, including branched-chain and aromatic amino acids, such as isoleucine, leucine, valine, tyrosine and phenylalanine, as diagnostic or highly-significant predictors of future diabetes. This review summarizes the current findings of metabolomic studies in human investigations with the most common form of diabetes, type 2 diabetes.

Keywords： metabolomics     type 2 diabetes     metabolic pathway     mass spectrometry     nuclear magnetic resonance (NMR)    

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Precipitation study of CO

Siming Chen, Yue Wu, Geoffrey W. Stevens, Guoping Hu, Wenshou Sun, Kathryn A. Mumford

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 3,   Pages 415-424 doi: 10.1007/s11705-019-1882-4

Abstract: Focused beam reflectance measurement (FBRM) and C nuclear magnetic resonance ( C NMR) analysis wereC NMR spectroscopic analysis showed that the crystals precipitated from the CO -unsaturated KGLY solutions

Keywords： crystallization     precipitation     glycinate     FBRM     13C NMR    

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Recent Advances in 19Fluorine Magnetic Resonance Imaging with Perfluorocarbon Emulsions Review

Anne H. Schmieder,Shelton D. Caruthers,Jochen Keupp,Samuel A. Wickline,Gregory M. Lanza

Engineering 2015, Volume 1, Issue 4,   Pages 475-489 doi: 10.15302/J-ENG-2015103

Abstract:

The research roots of 19fluorine (19F) magnetic resonance imaging (MRI) dateOver that time span, 1H imaging flourished and was adopted worldwide with an endless arrayof applications and imaging approaches, making magnetic resonance an indispensable pillar of biomedicalIn part, this is due to advances in MRI instrumentation, 19F/1H coil designs, and

Keywords： fluorine     magnetic resonance imaging (MRI)     dual-tuned coil     perfluorocarbon     angiogenesis     cell labeling    

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Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magneticresonance imaging and omics

Frontiers of Medicine   Pages 993-1005 doi: 10.1007/s11684-023-0989-7

Abstract: were subjected to two courses of treatment, and each treatment lasted for 5 days, with an interval of 1The functional magnetic resonance imaging (fMRI) data were analyzed for investigating brain changes induced

Keywords： acupuncture     migraine     fMRI     metabolome     proteome    

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Copolymerization of 1-butene and 1-hexene with supported titanium catalyst

ZHAO Yongxian, SHAO Huafeng, WANG Bo, YAO Wei, HUANG Baochen

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 3,   Pages 304-309 doi: 10.1007/s11705-007-0056-y

Abstract: With TiCl/MgCl (Ti) and Al(-Bu) (Al) as catalysts, the thermoplastic copolymer of 1-butene(Bt) and 1-The copolymer was analyzed with Fourier transform-infrared (FTIR) and nuclear magnetic resonance (H-NMRResults showed that the optimal polymerization conditions were: He/Bt = 0.25, temperature 40ºC–50ºC,Al/Ti = 400–500, Ti/(Bt+He) = 3×10-4*times;10, time 4 h.The crystallization and stereoregularity of poly(1-butene) decreased with the addition of He.

Keywords： reaction     conversion     temperature     polymerization temperature     magnetic resonance    

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artificial institution Project supported by CAPES-PDSE (No. 4926145), CNPq (Nos. 448462/2014-1and 306301/2012-1) and ARC 6 Region Rh?ARC-13-009716-01) A preliminary version was presented at the 13th International

Maiquel DE BRITO,Lauren THÉVIN,Catherine GARBAY,Olivier BOISSIER,Jomi Fred HÜBNER

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 309-324 doi: 10.1631/FITEE.1500369

Abstract: This paper highlights the use of situated artificial institution (SAI) within a hybrid, interactive,normative multi-agent system to regulate human collaboration in crisis management. Norms regulate the actions of human actors based on the dynamics of the environment in which they are situated. This dynamics results from both environment evolution and actors’ actions. Our objective is to situate norms in the environment in order to provide a context-aware crisis regulation. However, this coupling must be a loose one to keep both levels independent and easyto-change in order to face the complex and changing crisis situations. To that aim, we introduce a constitutive level between environmental and normative states providing a loose coupling of normative regulation with environment evolution. Norms are thus no more referring to environmental facts but to status functions, i.e., the institutional interpretation of environmental facts through constitutive rules. We present how this declarative and distinct SAI modelling succeeds in managing the crisis with a context-aware crisis regulation.

Keywords： Situated artificial institutions (SAIs)     Normative system     Tangible interaction     Crisis management    

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Solvability and thermal response of cellulose with different crystal configurations

Qian CHEN, Kai ZHENG, Qingtao FAN, Kun WANG, Haiyan YANG, Jianxin JIANG, Shijie LIU

Frontiers of Engineering Management 2019, Volume 6, Issue 1,   Pages 62-69 doi: 10.1007/s42524-019-0001-z

Abstract: Using liquid- and solid-state NMR signals, the distinct types and dissolving states of cellulose polymorphs

Keywords： cellulose     crystal structure     thermal response     XRD     CP/MAS 13C NMR    

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Development progress of China’s 600 km/h high-speed magnetic levitation train

Frontiers of Engineering Management 2022, Volume 9, Issue 3,   Pages 509-515 doi: 10.1007/s42524-022-0199-z

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Keywords： 600 km/h high-speed magnetic levitation train     development history     technological innovation    

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TIN2015-65515-C4-1-R) A preliminary version was presented at the 13th International

JULIAN,C. CARRASCOSA

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 325-337 doi: 10.1631/FITEE.1500343

Abstract: Human-agent societies refer to applications where virtual agents and humans coexist and interact transparently into a fully integrated environment. One of the most important aspects in this kind of applications is including emotional states of the agents (humans or not) in the decision-making process. In this sense, this paper presents the applicability of the JaCalIVE (Jason Cartago implemented intelligent virtual environment) framework for developing this kind of society. Specifically, the paper presents an ambient intelligence application where humans are immersed into a system that extracts and analyzes the emotional state of a human group. A social emotional model is employed to try to maximize the welfare of those humans by playing the most appropriate music in every moment.

Keywords： Multi-agent systems     Virtual environments     Emotional agents    

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Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

Frontiers of Medicine 2020, Volume 14, Issue 5,   Pages 630-641 doi: 10.1007/s11684-019-0718-4

Abstract: Mesial temporal lobe epilepsy (mTLE), the most common type of focal epilepsy, is associated with functional and structural brain alterations. Machine learning (ML) techniques have been successfully used in discriminating mTLE from healthy controls. However, either functional or structural neuroimaging data are mostly used separately as input, and the opportunity to combine both has not been exploited yet. We conducted a multimodal ML study based on functional and structural neuroimaging measures. We enrolled 37 patients with left mTLE, 37 patients with right mTLE, and 74 healthy controls and trained a support vector ML model to distinguish them by using each measure and the combinations of the measures. For each single measure, we obtained a mean accuracy of 74% and 69% for discriminating left mTLE and right mTLE from controls, respectively, and 64% when all patients were combined. We achieved an accuracy of 78% by integrating functional data and 79% by integrating structural data for left mTLE, and the highest accuracy of 84% was obtained when all functional and structural measures were combined. These findings suggest that combining multimodal measures within a single model is a promising direction for improving the classification of individual patients with mTLE.

Keywords： mesial temporal lobe epilepsy     functional magnetic resonance imaging     structural magnetic resonance imaging    

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TIN2012-34003 and TIN2013-47074-C2-1-R) and FPU Scholarship (FPU13/03141) from the Spanish Government A preliminary version was presented at the 13th International Conference on Practical

Miguel OLIVER,Francisco MONTERO,José Pascual MOLINA,Pascual GONZÁLEZ,Antonio FERNÁNDEZ-CABALLERO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 348-364 doi: 10.1631/FITEE.1500347

Abstract: This paper seeks to determine how the overlap of several infrared beams affects the tracked position of the user, depending on the angle of incidence of light, distance to the target, distance between sensors, and the number of capture devices used. We also try to show that under ideal conditions using several Kinect sensors increases the precision of the data collected. The results obtained can be used in the design of telerehabilitation environments in which several RGB-D cameras are needed to improve precision or increase the tracking range. A numerical analysis of the results is included and comparisons are made with the results of other studies. Finally, we describe a system that implements intelligent methods for the rehabilitation of patients based on the results of the tests carried out.

Keywords： Kinect sensor     Rehabilitation system     Capture precision     Multi-camera system    

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Influence of short chain ceramides and lipophilic penetration enhancers on the nano-structure of stratum corneum model membranes studied using neutron diffraction

Annett SCHROETER, Tanja ENGELBRECHT, Reinhard H. H. NEUBERT

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 1,   Pages 29-36 doi: 10.1007/s11705-013-1302-0

Abstract: H NMR spectroscopy was used to study the impact of the ceramides’ degree of order within the stratumThe H NMR spectroscopic measurements showed that CER[NP] based ternary model system had a higher state

Keywords： of the stratum corneum     ceramide     penetration enhancer     model membrane     neutron diffraction     2HNMR spectroscopy    

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A density functional theory study of methane activation on MgO supported NiM cluster: role of M on C–H

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 10,   Pages 1485-1492 doi: 10.1007/s11705-022-2169-8

Abstract: The role of M on the first C–H bond cleavage of CH4 was investigated.Doping elements of the same period in Ni cluster, such as Fe, Co and Cu, for C–H bond activation followsAs a result, Ni–Fe shows the best ability for C–H bond cleavage.Consequently, C–H bond activation demands a lower energy barrier on Ni–Pt cluster.

Keywords： CH4 dissociation     Ni–M     C–H bond activation     charge transfer    

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Probes and nano-delivery systems targeting NAD(P)H:quinone oxidoreductase 1: a mini-review

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 2,   Pages 123-138 doi: 10.1007/s11705-022-2194-7

Abstract: The two-electron cytoplasmic reductase NAD(P)H:quinone oxidoreductase 1 is expressed in many tissues.NAD(P)H:quinone oxidoreductase 1 is well-known for being highly expressed in most cancers.quinone oxidoreductase 1 to diagnose tumours.quinone oxidoreductase 1-activating drug β-lapachone.quinone oxidoreductase 1.

Keywords： NAD(P)H:quinone oxidoreductase 1     cancer therapy     target     probe     nanosystem    

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Title Author Date Type Operation

Application and mechanism of polysaccharide extracted from Enteromorpha to remove nano-ZnO and humic acid in coagulation process

Jianzhang Sun, Baoyu Gao, Yuanxia Luo, Moxi Xue, Xing Xu, Qinyan Yue, Yan Wang

Journal Article

Metabolomics in human type 2 diabetes research

Jingyi Lu, Guoxiang Xie, Weiping Jia, Wei Jia

Journal Article

Precipitation study of CO

Siming Chen, Yue Wu, Geoffrey W. Stevens, Guoping Hu, Wenshou Sun, Kathryn A. Mumford

Journal Article

Recent Advances in 19Fluorine Magnetic Resonance Imaging with Perfluorocarbon Emulsions

Anne H. Schmieder,Shelton D. Caruthers,Jochen Keupp,Samuel A. Wickline,Gregory M. Lanza

Journal Article

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magneticresonance imaging and omics

Journal Article

Copolymerization of 1-butene and 1-hexene with supported titanium catalyst

ZHAO Yongxian, SHAO Huafeng, WANG Bo, YAO Wei, HUANG Baochen

Journal Article

artificial institution Project supported by CAPES-PDSE (No. 4926145), CNPq (Nos. 448462/2014-1and 306301/2012-1) and ARC 6 Region Rh?ARC-13-009716-01) A preliminary version was presented at the 13th International

Maiquel DE BRITO,Lauren THÉVIN,Catherine GARBAY,Olivier BOISSIER,Jomi Fred HÜBNER

Journal Article

Solvability and thermal response of cellulose with different crystal configurations

Qian CHEN, Kai ZHENG, Qingtao FAN, Kun WANG, Haiyan YANG, Jianxin JIANG, Shijie LIU

Journal Article

Development progress of China’s 600 km/h high-speed magnetic levitation train

Journal Article

TIN2015-65515-C4-1-R) A preliminary version was presented at the 13th International

JULIAN,C. CARRASCOSA

Journal Article

Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

Journal Article

TIN2012-34003 and TIN2013-47074-C2-1-R) and FPU Scholarship (FPU13/03141) from the Spanish Government A preliminary version was presented at the 13th International Conference on Practical

Miguel OLIVER,Francisco MONTERO,José Pascual MOLINA,Pascual GONZÁLEZ,Antonio FERNÁNDEZ-CABALLERO

Journal Article

Influence of short chain ceramides and lipophilic penetration enhancers on the nano-structure of stratum corneum model membranes studied using neutron diffraction

Annett SCHROETER, Tanja ENGELBRECHT, Reinhard H. H. NEUBERT

Journal Article

A density functional theory study of methane activation on MgO supported NiM cluster: role of M on C–H

Journal Article

Probes and nano-delivery systems targeting NAD(P)H:quinone oxidoreductase 1: a mini-review

Journal Article