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effect of fluorophore on phenylboronic acid fluorophore/cyclodextrin complex for selective glucose recognition

Takeshi Hashimoto, Mio Kumai, Mariko Maeda, Koji Miyoshi, Yuji Tsuchido, Shoji Fujiwara, Takashi Hayashita

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 1,   Pages 53-60 doi: 10.1007/s11705-019-1851-y

Abstract: site of a fluorescent probe, we have created a unique system that changes its twisting response to sugar

Keywords： sugar recognition     phenylboronic acid     cyclodextrin     fluorescence response     induced circular dichroism    

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Greenhouse gas emissions mitigation and economic viability of sugar crops in China

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023529

Abstract:

● Sugarcane and sugar beet yield and carbon footprint rose with time

Keywords： Economic profits     GHG emissions     labor input     nitrogen input     sugar    

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Fermentative hydrogen production from beet sugar factory wastewater treatment in a continuous stirred

Gefu ZHU, Chaoxiang LIU, Jianzheng LI, Nanqi REN, Lin LIU, Xu HUANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 1,   Pages 143-150 doi: 10.1007/s11783-012-0456-1

Abstract: fermentation process was evaluated for wastewater treatment and bio-hydrogen production from acidic beet sugar

Keywords： fermentative hydrogen production     continuous stirred tank reactor (CSTR)     specific hydrogen production rate     beet sugar    

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Microbial community dynamics at high organic loading rates revealed by pyrosequencing during sugar refinery

Liguo Zhang, Qiaoying Ban, Jianzheng Li

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 4, doi: 10.1007/s11783-018-1045-8

Abstract:

High strength sugar refinery wastewater was treated in a mesophilic

Keywords： Upflow anaerobic sludge blanket     Sugar refinery wastewater     Organic loading rate     Pyrosequencing     Microbial    

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neural network-based production process modeling and variable importance analysis approach in corn to sugar

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 3,   Pages 358-371 doi: 10.1007/s11705-022-2190-y

Abstract: Corn to sugar process has long faced the risks of high energy consumption and thin profits.network-based production process modeling and variable importance analysis approach is proposed for corn to sugarbased on the selected most important sites to maintain high quality and stable production for corn to sugar

Keywords： big data     corn to sugar factory     neural network     variable importance analysis    

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Production of pectic extracts from sugar beet pulp with antiproliferative activity on a breast cancer

Jacqueline CONCHA, Caroline WEINSTEIN, María Elvira Zú?IGA

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 4,   Pages 482-489 doi: 10.1007/s11705-013-1342-5

Abstract: In the last years, sugar beet pectins have been the subject of several investigations involving extractionIn this work, sugar beet pectin extraction was performed in the following steps: lipid extraction with

Keywords： pectic extracts     antiproliferative activity     breast cancer     enzymatic treatment    

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: It is a very important task to automatically fix the number of die in the image recognition system ofA multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedAs a result, time consumed by one image recognition is shortened, the performance of the image recognition

Keywords： clustering     different     recognition algorithm     Algorithm     multiobjective    

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Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Frontiers of Medicine 2021, Volume 15, Issue 4,   Pages 575-584 doi: 10.1007/s11684-020-0816-3

Abstract: has become the focus of spinal surgery research so as to strengthen the objectivity of tissue state recognitionThis article reviews the progress of different tissue state recognition methods in spinal surgery and

Keywords： spinal surgery     tissue state recognition     image     force sensing     bioelectrical impedance    

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CAR T cells redirected against tumor-specific antigen glycoforms: can low-sugar antigens guarantee a

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 322-338 doi: 10.1007/s11684-021-0901-2

Abstract: Immune-based therapies have experienced a pronounced breakthrough in the past decades as they acquired multiple US Food and Drug Administration (FDA) approvals for various indications. To date, six chimeric antigen receptor T cell (CAR-T) therapies have been permitted for the treatment of certain patients with relapsed/refractory hematologic malignancies. However, several clinical trials of solid tumor CAR-T therapies were prematurely terminated, or they reported life-threatening treatment-related damages to healthy tissues. The simultaneous expression of target antigens by healthy organs and tumor cells is partly responsible for such toxicities. Alongside targeting tumor-specific antigens, targeting the aberrantly glycosylated glycoforms of tumor-associated antigens can also minimize the off-tumor effects of CAR-T therapies. Tn, T, and sialyl-Tn antigens have been reported to be involved in tumor progression and metastasis, and their expression results from the dysregulation of a series of glycosyltransferases and the endoplasmic reticulum protein chaperone, Cosmc. Moreover, these glycoforms have been associated with various types of cancers, including prostate, breast, colon, gastric, and lung cancers. Here, we discuss how underglycosylated antigens emerge and then detail the latest advances in the development of CAR-T-based immunotherapies that target some of such antigens.

Keywords： cancer immunotherapy     chimeric antigen receptor     solid tumors     tumor-associated antigen     glycosylation     O-glycans     adoptive cell therapy    

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hydrothermal carbon supporting metal oxide nanoparticles as efficient catalyst for mono-dehydration of sugar

Cheng PAN, Chao FAN, Wanqin WANG, Teng LONG, Benhua HUANG, Donghua ZHANG, Peigen SU, Aqun ZHENG, Yang SUN

Frontiers in Energy 2022, Volume 16, Issue 5,   Pages 822-839 doi: 10.1007/s11708-020-0677-0

Abstract: Most known catalytic dehydration of sugar alcohols such as D-sorbitol and D-mannitol can only produceOn the other hand, high mono-dehydration selectivity is obtained for both sugar alcohols by using allstudy provides an efficient, mild, eco-friendly, and cost-effective system for mono-dehydration of sugar

Keywords： hydrothermal carbon     morphology     catalyst     mono-dehydration     sugar alcohol    

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Electrochemical sensor investigation of carbon-supported PdCoAg multimetal catalysts using sugar-containing

Firat Salman, Hilal C. Kazici, Hilal Kivrak

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 4,   Pages 629-638 doi: 10.1007/s11705-019-1840-1

Abstract: Novel PdCoAg/C nanostructures were successfully synthesized by the polyol method in order to develop electrocatalysts, related to the glucose sensor performance of the high glycemic index in beverages. The characterization of this novel PdCoAg/C electrocatalyst was performed by X-ray diffraction, scanning electron microscopy, transmission electron microscopy, and high-resolution transmission electron microscopy equipped with energy dispersive X-ray. The characterization results revealed that electronic state of the PdCoAg/C electrocatalyst was modified by the addition of the third metal. The electrochemical performances of the sensor were investigated by cyclic voltammetry and differential pulse voltammetry. The prepared enzyme-free sensor exhibited excellent catalytic activity against glucose with a wide detection range (0.005 to 0.35 mmol∙L ), low limit of detection (0.003 mmol∙L ), high sensitivity (4156.34 µA∙mmol ∙L∙cm ), and long-term stability (10 days) because of the synergistic effect between the ternary metals. The glucose contents of several energy drinks, fruit juices, and carbonated beverages were analyzed using the novel PdCoAg/NGCE/C sensor system. These results indicate the feasibility for applications in the foods industry.

Keywords： non-enzymatic     glucose detection     ternary metals     glycemic index     beverages    

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View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 917-920 doi: 10.1631/FITEE.1500080

Abstract: Human action recognition is currently one of the most active research areas in computer vision.However, some extrinsic factors are barriers for the development of action recognition; e.g., human actionsThus, view-invariant analysis becomes important for action recognition algorithms, and a number of researchersExperiments on three public view-invariant action recognition datasets, i.e., ViHASi, IXMAS, and WVU,proposed algorithm stably outperforms state-of-the-art counterparts and obtains about 6% improvement in recognition

Keywords： View-invariant     Action recognition     Multi-view learning     L1-norm     Local learning    

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Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1430-6

Abstract:

• UV-vis absorption analyzer was applied in drainage type online recognition

Keywords： Drainage online recognition     UV-vis spectra     Derivative spectrum     Convolutional neural network    

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Face recognition based on subset selection via metric learning on manifold

Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1046-1058 doi: 10.1631/FITEE.1500085

Abstract: With the development of face recognition using sparse representation based classification (SRC), many

Keywords： Face recognition     Sparse representation     Manifold structure     Metric learning     Subset selection    

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The Mission is Possible: Fighting Sugar and Fat for a Healthier Heart

Baofeng Yang, Rui Wang

Engineering 2023, Volume 20, Issue 1,   Pages 1-2 doi: 10.1016/j.eng.2022.10.003

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Title Author Date Type Operation

effect of fluorophore on phenylboronic acid fluorophore/cyclodextrin complex for selective glucose recognition

Takeshi Hashimoto, Mio Kumai, Mariko Maeda, Koji Miyoshi, Yuji Tsuchido, Shoji Fujiwara, Takashi Hayashita

Journal Article

Greenhouse gas emissions mitigation and economic viability of sugar crops in China

Journal Article

Fermentative hydrogen production from beet sugar factory wastewater treatment in a continuous stirred

Gefu ZHU, Chaoxiang LIU, Jianzheng LI, Nanqi REN, Lin LIU, Xu HUANG

Journal Article

Microbial community dynamics at high organic loading rates revealed by pyrosequencing during sugar refinery

Liguo Zhang, Qiaoying Ban, Jianzheng Li

Journal Article

neural network-based production process modeling and variable importance analysis approach in corn to sugar

Journal Article

Production of pectic extracts from sugar beet pulp with antiproliferative activity on a breast cancer

Jacqueline CONCHA, Caroline WEINSTEIN, María Elvira Zú?IGA

Journal Article

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Journal Article

Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Journal Article

CAR T cells redirected against tumor-specific antigen glycoforms: can low-sugar antigens guarantee a

Journal Article

hydrothermal carbon supporting metal oxide nanoparticles as efficient catalyst for mono-dehydration of sugar

Cheng PAN, Chao FAN, Wanqin WANG, Teng LONG, Benhua HUANG, Donghua ZHANG, Peigen SU, Aqun ZHENG, Yang SUN

Journal Article

Electrochemical sensor investigation of carbon-supported PdCoAg multimetal catalysts using sugar-containing

Firat Salman, Hilal C. Kazici, Hilal Kivrak

Journal Article

View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Journal Article

Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Journal Article

Face recognition based on subset selection via metric learning on manifold

Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU

Journal Article

The Mission is Possible: Fighting Sugar and Fat for a Healthier Heart

Baofeng Yang, Rui Wang

Journal Article