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Current perspectives on shoot branching regulation

Cunquan YUAN,Lin XI,Yaping KOU,Yu ZHAO,Liangjun ZHAO

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 1, Pages 38-52 doi: 10.15302/J-FASE-2015053

Abstract: Shoot branching is regulated by the complex interactions among hormones, development, and environmental factors. Recent studies into the regulatory mecha-nisms of shoot branching have focused on strigolactones, which is a new area of investigation in shoot branching regulation. Elucidation of the function of the gene has allowed exploration of detailed mechanisms of action of strigolactones in regulating shoot branching. In addition, the recent discovery that sucrose is key for axillary bud release has challenged the established auxin theory, in which auxin is the principal agent in the control of apical dominance. These developments increase our understan-ding of branching control and indicate that regulation of shoot branching involves a complex network. Here, we first summarize advances in the systematic regulatory network of plant shoot branching based on current information. Then we describe recent developments in the synthesis and signal transduction of strigolactones. Based on these considerations, we further summarize the plant shoot branching regulatory network, including long distance systemic signals and local gene activity mediated by strigolactones following perception of external envi-ronmental signals, such as shading, in order to provide a comprehensive overview of plant shoot branching.

Keywords： sugar demand apical dominance decapitation shade shoot branching strigolactones

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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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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 produceMoreover, both di- and mono-dehydration demand a high temperature (150°C or higher), which deserves furtherOn 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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Understanding the demand predictability of bike share systems: A station-level analysis

Frontiers of Engineering Management Pages 551-565 doi: 10.1007/s42524-023-0279-8

Abstract: Predicting demand for bike share systems (BSSs) is critical for both the management of an existing BSSWhile researchers have mainly focused on improving prediction accuracy and analysing demand-influencingUsing Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified thesome stations exhibit high uncertainty (a low entropy of 0.65) and others have almost no check-out demandFindings from this study provide more fundamental understanding of BSS demand prediction, which can help

Keywords： bike share systems demand prediction prediction errors machine learning entropy

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Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2, Pages 204-212 doi: 10.1007/s11783-011-0364-9

Abstract: A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demandIn the demand coverage method, the demand coverage of each set of monitoring stations is calculated byaccumulating their demand coverage under each demand pattern, and the impact of temporal distributionbetween different time periods or demand patterns is ignored.To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method.

Keywords： demand coverage monitoring optimization water distribution network water quality

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Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Frontiers in Energy 2014, Volume 8, Issue 1, Pages 31-40 doi: 10.1007/s11708-014-0296-8

Abstract: This paper applies time series methodologies to examine the causal relationship among electricity demandMoreover, there is a bi-directional Granger causality flow between real per capita GDP and electricity demand; while labor force does not Granger-cause neither real per capita GDP nor electricity demand.This implies that electricity demand and economic growth are jointly determined at the same time for

Keywords： energy policies electricity demand GDP labor force stationarity structural breaks cointegration causality

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Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

Frontiers in Energy 2010, Volume 4, Issue 4, Pages 459-468 doi: 10.1007/s11708-010-0119-5

Abstract: An assessment of the energy demand and the potential for sector-based emission reductions will provideIn this paper, Beijing was selected as a special case for analysis in order to assess the energy demandResults show that in the high motorization-oriented pattern scenario, total energy demand is about 13.94%On the other hand, in the bus and rail transit-oriented scenario, total energy demand is about 11.57%

Keywords： scenario analysis urban traffic pattern energy demand reduction potential

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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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Smart residential energy management system for demand response in buildings with energy storage devices

S. L. ARUN, M. P. SELVAN

Frontiers in Energy 2019, Volume 13, Issue 4, Pages 715-730 doi: 10.1007/s11708-018-0538-2

Abstract: Demand side management (DSM) is one of such smart grid technologies which motivate end users to activelyConsumers are expected to respond (demand response (DR)) in various ways to attain these benefits.discharging) and the amount of power exchange from the battery while considering the variations in consumer demand

Keywords： smart grid demand side management (DSM) demand response (DR) smart building smart appliances energy storage

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Modeling and simulation of industrial water demand of Beijing municipality in China

Shouke WEI, Shafi Noor ISLAM, Alin LEI,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 1, Pages 91-101 doi: 10.1007/s11783-010-0007-6

Abstract: econometric regression models were established in this study to analyze and predict industrial water demandFour scenarios were designed to simulate and analyze the future uncertainty of industrial water demandThe modeling results for industrial water demand suggested that Beijing industry would face a water deficitbetween 3.06 × 10 min 2008 and 2.77 × 10 m in 2015, though its industrial water demand

Keywords： water scarcity water demand water deficit modeling industry scenario Beijing

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Title Author Date Type Operation

Current perspectives on shoot branching regulation

Cunquan YUAN,Lin XI,Yaping KOU,Yu ZHAO,Liangjun ZHAO

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

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

Understanding the demand predictability of bike share systems: A station-level analysis

Journal Article

Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Journal Article

Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Journal Article

Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

Journal Article

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

Firat Salman, Hilal C. Kazici, Hilal Kivrak

Journal Article

Smart residential energy management system for demand response in buildings with energy storage devices