Resource Type

Journal Article 1144

Conference Videos 24

Year

2024 41

2023 95

2022 130

2021 95

2020 57

2019 57

2018 51

2017 46

2016 53

2015 57

2014 54

2013 46

2012 56

2011 55

2010 54

2009 44

2008 31

2007 38

2006 17

2005 12

open ︾

Keywords

sustainable development 13

water resources 13

drinking water 11

water 11

water mist 11

food security 10

water quality 10

water treatment 9

Wastewater treatment 8

water resource 7

Adsorption 6

Climate change 6

adsorption 6

Membrane fouling 5

demand response 5

hydrogen 5

surface water 5

wastewater treatment 5

Microbial community 4

open ︾

Search scope:

排序: Display mode:

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3

Abstract:

● A novel deep learning framework for short-term water demand forecasting

Keywords: Short-term water demand forecasting     Long-short term memory neural network     Convolutional Neural Network    

Short-term Load Forecasting Using Neural Network

Luo Mei

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 77-80

Abstract: three BP ANN models,  namely SDBP, LMBP and BRBP Model,  are established to carry out the short-termload forecasting work, and the results are compared.

Keywords: short-term load forecasting(STLF)     ANN     Levenberg-Marquardt     Bayesian regularization     optimized algorithms    

Effect of short-term atrazine addition on the performance of an anaerobic/anoxic/oxic process

Changyong WU, Xiaoling LI, Zhiqiang CHEN, Yongzhen PENG,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 2,   Pages 150-156 doi: 10.1007/s11783-010-0020-9

Abstract: anaerobic/anoxic/oxic (AO) wastewater treatment process was implemented to treat domestic wastewater with short-termaccidental pollution on the operation of a wastewater treatment plant (WWTP) in relation to Chemical Oxygen DemandThe specific NH NO reduction rate decreased slightly due to the short-term atrazine addition.The phosphorus removal rate was not affected by the short-term addition of atrazine under the appliednot removed with the AO process, even via absorption by the activated sludge in the process of the short-term

Keywords: biological nutrient removal     atrazine     anaerobic/anoxic/oxic (A2O) process     oxygen demand removal     oxygen    

Physics Guided Deep Learning-based Model for Short-term Origin-Destination Demand Prediction in Urban

Shuxin Zhang,Jinlei Zhang,Lixing Yang,Feng Chen,Shukai Li,Ziyou Gao,

Engineering doi: 10.1016/j.eng.2024.04.020

Abstract: Accurate origin–destination (OD) demand prediction is crucial for the efficient operation and managementcalled the physics-guided adaptive graph spatial–temporal attention network (PAG-STAN) for metro OD demandSubsequently, a novel dynamic OD demand matrix compression module is proposed to generate dense real-timeOD demand matrices.and conventional scenarios, highlighting its robustness and sensitivity for metro OD demand prediction

Keywords: OD demand prediction     Urban rail transit     PAG-STAN     Pandemic    

Anlotinib as third- or further-line therapy for short-term relapsed small-cell lung cancer: subgroup

Frontiers of Medicine 2022, Volume 16, Issue 5,   Pages 766-772 doi: 10.1007/s11684-021-0916-8

Abstract: investigate the efficacy and safety of anlotinib as third- or further-line therapy in patients with short-termPatients with short-term relapsed SCLC (disease progression within 3 months after completing ≥ two linesFor patients with short-term relapsed SCLC, third- or further-line anlotinib treatment was associated

Keywords: anlotinib     chemotherapy     short-term relapsed     small-cell lung cancer    

Response of bacterial communities to short-term pyrene exposure in red soil

Jingjing PENG, Hong LI, Jianqiang SU, Qiufang ZHANG, Junpeng RUI, Chao CAI

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 4,   Pages 559-567 doi: 10.1007/s11783-013-0501-8

Abstract: However, long-term exposure studies did not detect any significant effects of pyrene on soil microorganismIn this study, short-term microcosm experiments were conducted to identify the immediate effect of pyreneShort-term exposure to pyrene resulted in dominance of Proteobacteria in soil, followed by Acidobacteria

Keywords: pyrene     bacterial communities     terminal restriction fragment length polymorphism     short-term exposure     rank-abundance    

distal pancreatectomy versus conventional laparoscopic distal pancreatectomy: a comparative study for short-term

Eric C. H. Lai,Chung Ngai Tang

Frontiers of Medicine 2015, Volume 9, Issue 3,   Pages 356-360 doi: 10.1007/s11684-015-0404-0

Abstract:

Robotic system has been increasingly used in pancreatectomy. However, the effectiveness of this method remains uncertain. This study compared the surgical outcomes between robot-assisted laparoscopic distal pancreatectomy and conventional laparoscopic distal pancreatectomy. During a 15-year period, 35 patients underwent minimally invasive approach of distal pancreatectomy in our center. Seventeen of these patients had robot-assisted laparoscopic approach, and the remaining 18 had conventional laparoscopic approach. Their operative parameters and perioperative outcomes were analyzed retrospectively in a prospective database. The mean operating time in the robotic group (221.4 min) was significantly longer than that in the laparoscopic group (173.6 min) (P = 0.026). Both robotic and conventional laparoscopic groups presented no significant difference in spleen-preservation rate (52.9% vs. 38.9%) (P = 0.505), operative blood loss (100.3 ml vs. 268.3 ml) (P = 0.29), overall morbidity rate (47.1% vs. 38.9%) (P = 0.73), and post-operative hospital stay (11.4 days vs. 14.2 days) (P = 0.46). Both groups also showed no perioperative mortality. Similar outcomes were observed in robotic distal pancreatectomy and conventional laparoscopic approach. However, robotic approach tended to have the advantages of less blood loss and shorter hospital stay. Further studies are necessary to determine the clinical position of robotic distal pancreatectomy.

Keywords: distal pancreatectomy     pancreatic neoplasm     robotic surgery    

Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 3,   Pages 334-338 doi: 10.1007/s11783-007-0057-6

Abstract: Based on this, a short-term forecasting chaos neural network model of WWTP influent quantity was builtReasonable forecasting results were achieved using this method.

Keywords: nonlinear     reconstruction     WWTP influent     characteristic     Reasonable forecasting    

LDformer: a parallel neural network model for long-term power forecasting

田冉,李新梅,马忠彧,刘颜星,王晶霞,王楚

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1287-1301 doi: 10.1631/FITEE.2200540

Abstract: Accurate long-term power forecasting is important in the decision-making operation of the power gridHowever, most time-series forecasting models do not perform well in dealing with long-time-series predictionFirst, we combine Informer with long short-term memory (LSTM) to obtain deep representation abilities

Keywords: Long-term power forecasting     Long short-term memory (LSTM)     UniDrop     Self-attention mechanism    

Insights into simultaneous anammox and denitrification system with short-term pyridine exposure: Process

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1433-3

Abstract:

Short-term effect of the pyridine exposure on the SAD process was

Keywords: Anammox     Inhibition     Metabolic pathway     Microbial community     Pyridine     SAD    

A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1688-y

Abstract:

● A novel VMD-IGOA-LSTM model has proposed for the prediction of water

Keywords: Water quality prediction     Grasshopper optimization algorithm     Variational mode decomposition     Long short-term    

Evaluating the short-term effect of ambient temperature on non-fatal outdoor falls and road traffic injuries

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 9, doi: 10.1007/s11783-023-1705-1

Abstract:

● A study assessing the temperature-injury relationship was conducted among students.

Keywords: Ambient temperature     Fall     Road traffic injury     Student     China    

An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem

Tahir Nadeem MALIK,Salman ZAFAR,Saaqib HAROON

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 404-417 doi: 10.1631/FITEE.1400189

Abstract: Short-term hydrothermal scheduling (STHTS) is a non-linear and complex optimization problem with a set

Keywords: Valve-point effect     Prohibited discharge zones     Differential evolution     Chaotic sequences     Constraint handling    

The second short-term warm ischemia after vascular anastomosis did not affect early renal function recovery

Tao Qiu, Jiangqiao Zhou, Xiuheng Liu, Minghuan Ge, Zhiyuan Chen

Frontiers of Medicine 2012, Volume 6, Issue 3,   Pages 329-331 doi: 10.1007/s11684-012-0211-9

Abstract:

Ischemic postconditioning was defined as rapid intermittent interruptions of blood ?ow in the early phase of reperfusion, which has been found to be protective against renal ischemia-reperfusion injury (IRI) in animal models but not in clinical trials. We describe a case that the allograft renal vein was twisted because of the surgeon’s mistake, which caused the warm ischemia of allograft after reperfusion. The allograft restored blood flow without second reperfusion and cold preservation after 9 min of warm ischemia. The patient was followed up for 3 months and the allograft worked well without complications.

Keywords: renal transplantation     vein twist     ischemia-reperfusion injury    

Short-term effect of temperature variation on the competition between PAOs and GAOs during acclimation

Nanqi REN, Han KANG, Xiuheng WANG, Nan LI

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 2,   Pages 277-282 doi: 10.1007/s11783-010-0226-x

Abstract: Sequencing batch reactor (SBR) for enhanced biological phosphorus removal (EBPR) processes was used to investigate the impact of the temperature shock on the competition between phosphorus-accumulating organisms (PAOs) and glycogen accumulating organisms (GAOs) in start-up stage. During the 34 days operation, SBR was set with temperature variation(0–5 d, 22±1°C; 6–13 d, 29±1°C; 14–34 d, 14±1°C). PAOs and GAOs were analyzed by fluorescent in situ hybridization (FISH), and intracellular polyphosphate granules were stained by Neisser-stain. The results showed that the influence of temperature shock on PAOs’ abundance was more serious than that on GAOs in the enriching process. Under sudden and substantially temperature variation, from 22±1°C to 29±1°C and then to 14±1°C, the domination of PAOs was deteriorated. After temperature shock, PAOs’ competitive advantages at low temperature that concluded in other study did not appear in our study. As mesophilic, GAOs (indicated by and ) were more temperature adaptive and better grew and took the domination at 14±1°C in the end. In the competition process, organisms of tetrad forming organisms (TFOs)-like shape which were considered as typical GAOs, were observed. With the evidence of poly-P granules containing by Neisser-straining and result of FISH, these organisms of TFOs-like shape were better to be assumed as adaption state or a special self-protecting shape of PAOs.

Keywords: fluorescent in situ hybridization (FISH)     tetrad forming organisms (TFOs)     temperature variation     enhanced biological phosphorus removal (EBPR)    

Title Author Date Type Operation

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Journal Article

Short-term Load Forecasting Using Neural Network

Luo Mei

Journal Article

Effect of short-term atrazine addition on the performance of an anaerobic/anoxic/oxic process

Changyong WU, Xiaoling LI, Zhiqiang CHEN, Yongzhen PENG,

Journal Article

Physics Guided Deep Learning-based Model for Short-term Origin-Destination Demand Prediction in Urban

Shuxin Zhang,Jinlei Zhang,Lixing Yang,Feng Chen,Shukai Li,Ziyou Gao,

Journal Article

Anlotinib as third- or further-line therapy for short-term relapsed small-cell lung cancer: subgroup

Journal Article

Response of bacterial communities to short-term pyrene exposure in red soil

Jingjing PENG, Hong LI, Jianqiang SU, Qiufang ZHANG, Junpeng RUI, Chao CAI

Journal Article

distal pancreatectomy versus conventional laparoscopic distal pancreatectomy: a comparative study for short-term

Eric C. H. Lai,Chung Ngai Tang

Journal Article

Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Journal Article

LDformer: a parallel neural network model for long-term power forecasting

田冉,李新梅,马忠彧,刘颜星,王晶霞,王楚

Journal Article

Insights into simultaneous anammox and denitrification system with short-term pyridine exposure: Process

Journal Article

A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Journal Article

Evaluating the short-term effect of ambient temperature on non-fatal outdoor falls and road traffic injuries

Journal Article

An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem

Tahir Nadeem MALIK,Salman ZAFAR,Saaqib HAROON

Journal Article

The second short-term warm ischemia after vascular anastomosis did not affect early renal function recovery

Tao Qiu, Jiangqiao Zhou, Xiuheng Liu, Minghuan Ge, Zhiyuan Chen

Journal Article

Short-term effect of temperature variation on the competition between PAOs and GAOs during acclimation

Nanqi REN, Han KANG, Xiuheng WANG, Nan LI

Journal Article