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Smart model for accurate estimation of solar radiation

Lazhar ACHOUR, Malek BOUHARKAT, Ouarda ASSAS, Omar BEHAR

Frontiers in Energy 2020, Volume 14, Issue 2, Pages 383-399 doi: 10.1007/s11708-017-0505-3

Abstract: Prediction of solar radiation has drawn increasing attention in the recent years. This is because of the lack of solar radiation measurement stations. In the present work, 14 solar radiation models have been used to assess monthly global solar radiation on a horizontal surface as function of three parameters: extraterrestrial solar irradiance ( ), duration sunshine ( ) and daylight hours ( ). Since it has been observed that each model is adequate for some months of the year, one model cannot be used for the prediction of the whole year. Therefore, a smart hybrid system is proposed which selects, based on the intelligent rules, the most suitable prediction model of the 14 models listed in this study. For the test and evaluation of the proposed models, Tamanrasset city, which is located in the south of Algeria, is selected for this study. The meteorological data sets of five years (2000–2004) have been collected from the Algerian National Office of Meteorology (NOM), and two spatial databases. The results indicate that the new hybrid model is capable of predicting the monthly global solar radiation, which offers an excellent measuring accuracy of values ranging from 93% to 97% in this location.

Keywords： global solar radiation statistical indicator hybrid model spatial database correlation coefficients

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Midline2 is overexpressed and a prognostic indicator in human breast cancer and promotes breast cancer

Frontiers of Medicine 2021, Volume 15, Issue 6, Pages 942-942 doi: 10.1007/s11684-021-0876-z

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Screening of indicator pharmaceuticals and personal care products in landfill leachates: a case study

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 9, doi: 10.1007/s11783-023-1716-y

Abstract:

● A systematic framework was developed to identify i-PPCPs for landfill leachate.

Keywords： Landfill leachates PPCPs Indicator Screening criteria Source-specificity

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Investigating the role of exiting vehicles and turn indicator usage in gap acceptance at single-lane

Nathan P. BELZ

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1, Pages 8-16 doi: 10.1007/s11709-016-0365-7

Abstract: Results prompt the consideration of more consistent guidance on and enforcement of turn indicator use

Keywords： roundabouts exiting vehicles turn indicator use headways

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Modeling effects of a tidal barrage on water quality indicator distribution in the Severn Estuary

Guanghai GAO, Roger A. FALCONER, Binliang LIN

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 2, Pages 211-218 doi: 10.1007/s11783-012-0464-1

Abstract: to assess the impacts of proposed Severn Barrage on the hydrodynamic, sediment transport and faecal indicator

Keywords： water quality indicator Severn Estuary numerical model tidal energy

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Water environment security indicator system for urban water management

Tian HAO, Pengfei DU, Yun GAO

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 5, Pages 678-691 doi: 10.1007/s11783-012-0450-7

Abstract: environment management, a systematic approach, encompassing several steps including establish ideal indicatorand organize discussion workshop, should be followed to establish a comprehensive water environment indicatorrelating to water environment security as well as design an appropriate water environment security indicator

Keywords： water environment security supervision and management monitoring parameter indicator system Suzhou

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Factor analysis for the statistical modeling of earthquake-induced landslides

Jeng-Wen LIN, Meng-Hsun HSIEH, Yu-Jen LI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1, Pages 123-126 doi: 10.1007/s11709-019-0582-y

Abstract: Earthquake-induced landslides are difficult to assess and predict owing to the inherent unpredictability of earthquakes. In most existing studies, the landslide potential is statistically assessed by collecting and analyzing the data of historical landslide events and earthquake observation records. Unlike rainfall-induced landslides, earthquake-induced landslides cannot be predicted in advance using real-time monitoring systems, and the development of the models for these landslides should instead depend on early earthquake warnings and estimations. Hence, in this study, factor analysis was performed and the frequency distribution method was employed to investigate the potential risk of the landslides caused by earthquakes. Factors such as the slope gradient, lithology (geology), aspect, and elevation were selected and classified as influential factors to facilitate the construction of a landslide database for the area of study.

Keywords： earthquake factor analysis slope landslides statistical modeling

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Analysis on the distinguishing features of traditional Chinese therapeutics and related statistical issues

Jingqing Hu, Jie Qiao, Deying Kang, Baoyan Liu

Frontiers of Medicine 2011, Volume 5, Issue 2, Pages 203-207 doi: 10.1007/s11684-011-0138-6

Abstract: Some statistical problems are raised based on these features.First, complex statistical methods that can analyze subjective indexes and latent variables, multidimensional

Keywords： traditional Chinese therapeutics feature statistic

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China’s Agriculture Green Development: from Concept to Actions

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023512

Abstract:

● A target-threshold indicator evaluation system is proposed to measure

Keywords： agricultural transformation Agriculture Green Development historical trend indicator system theoretical

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Recent development on statistical methods for personalized medicine discovery

Yingqi Zhao, Donglin Zeng

Frontiers of Medicine 2013, Volume 7, Issue 1, Pages 102-110 doi: 10.1007/s11684-013-0245-7

Abstract: Recently, a number of new statistical methods have been developed to tackle the important problem of

Keywords： dynamic treatment regimes personalized medicine reinforcement learning Q-learning

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Statistical considerations for genomic selection

Huimin KANG, Lei ZHOU, Jianfeng LIU

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3, Pages 268-278 doi: 10.15302/J-FASE-2017164

Abstract: This review covers the most commonly used statistical methods and some extensions of them, i.e., ridge

Keywords： genomic estimated breeding value genomic selection linkage disequilibrium statistical methods

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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2, Pages 149-156 doi: 10.1007/s11465-010-0008-y

Abstract: been gradually employed to increase the automation and intelligence degree in quality control using statistical

Keywords： statistical process control (SPC) fuzzy adaptive resonance theory (ART) histogram control chart time

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Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 6, Pages 895-904 doi: 10.1007/s11783-014-0736-z

Abstract: spatial variations of water quality data sets for the Xin'anjiang River through the use of multivariate statistical

Keywords： Xin'anjiang River multivariable statistical analysis temporal variation spatial variation water quality

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Midline2 is overexpressed and a prognostic indicator in human breast cancer and promotes breast cancer

Lan Wang,Jueheng Wu,Jie Yuan,Xun Zhu,Hongmei Wu,Mengfeng Li

Frontiers of Medicine 2016, Volume 10, Issue 1, Pages 41-51 doi: 10.1007/s11684-016-0429-z

Abstract:

Midline2 (MID2) is an ubiquitin-conjugating E2 enzyme linked to tumor progression and a novel interacting partner of breast cancer 1, early-onset (BRCA1). However, the role of MID2 in breast cancer remains unknown. This study investigated the expression, prognostic value, and role of MID2 in breast cancer. The expression of MID2 mRNA and protein was significantly upregulated in breast cancer tissue and established cell lines compared with that in normal breast epithelial cells and paired adjacent non-tumor tissue (P<0.001). Immunohistochemical analysis demonstrated that MID2 was overexpressed in 272 of 284 (95.8%) paraffin-embedded, archived breast cancer tissue. Moreover, MID2 expression increased with advanced clinical stage (P<0.001). High MID2 expression was significantly associated with advanced clinical stages and T, N, and M staging (all P<0.05). Univariate and multivariate analyses indicated that high MID2 expression was an independent prognostic factor for poor overall survival in the entire cohort (93.73 vs. 172.1 months; P<0.001, log-rank test) and in subgroups with stages Tis+ I+ II and III+ IV. Furthermore, 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide colony formation, and anchorage-independent growth ability assays were conducted. Results showed that siRNA silencing of MID2 expression significantly reduced MCF-7 and MDA-MB-231 cell proliferation in vitro and blocked the growth of MDA-MB-231 cell xenograft tumors in vivo (P<0.05). This study indicated that MID2 may be a novel prognostic marker and interventional target in breast cancer.

Keywords： breast cancer MID2 proliferation overall survival xenograft

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Application of statistical design for the production of inulinase by

M. DILIPKUMAR, M. RAJASIMMAN, N. RAJAMOHAN

Frontiers of Chemical Science and Engineering 2011, Volume 5, Issue 4, Pages 463-470 doi: 10.1007/s11705-011-1112-1

Abstract: A Plackett-Burman design was employed for screening 18 nutrient components for the production of inulinase using sp. and pressmud as the substrate via solid-state fermentation (SSF). From the experiments, three nutrients viz. yeast extract, FeSO ·7H O, and NH NO were found to be the most significant components. Hence these three components were selected and optimized using Response Surface Methodology (RSM). The optimum conditions are: yeast extract 0.00274 g/gds, FeSO ·7H O 0.00011 g/gds and NH NO 0.00772 g/gds. The effect of the substrate concentration and initial moisture content were also studied. A substrate concentration of 12 g and an initial moisture content of 65% are optimum for the maximum production of inulinase (89 U/gds).

Keywords： inulinase pressmud Response Surface Methodology (RSM) streptomyces sp