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Time-dependent metabolomics uncover dynamic metabolic adaptions in MCF-7 cells exposed to bisphenol A

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1604-5

Abstract:

● Metabolomic temporal profiling of cells exposed to xenobiotics.

Keywords： Metabolomics     BPA     MCF-7     Temporal profiling     Metabolic adaption     Dysregulation correlation    

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Hormesis-like growth and photosynthetic physiology of marine diatom Bohlin exposed to polystyrene microplastics

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 1,   Pages 2-2 doi: 10.1007/s11783-021-1436-0

Abstract:

• Polystyrene microplastic caused hormesis-like effects in Phaeodactylum tricornutum.

Keywords： Microplastics     Marine microalgae     Phaeodactylum tricornutum Bohlin     Growth     Photosynthetic pigments     Chlorophyll fluorescence parameters    

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Crystal design of bismuth oxyiodide with highly exposed (110) facets on curved carbon nitride for the

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 7,   Pages 1125-1138 doi: 10.1007/s11705-021-2116-0

Abstract: Crystalline materials with specific facet atomic arrangements and crystal facet structures exhibit unique functions according to their facet effects, quantum size effects and physical and chemical properties. In this study, a novel high-exposure (110) facet of bismuth oxyiodide (BiOI) was prepared (denoted as BiOI-110), and designed as nanosheets rich in oxygen vacancies by crystal facet design and regulation. Graphitic carbon nitride was designed as curved carbon nitride with dibromopyrazine, denoted as DCN, which contributed to a significant structural distortion in plane symmetry and improved the separation of charge carriers. Novel heterostructured BiOI-110/DCN nanosheets with a high-exposure (110) facet and abundant oxygen vacancies were successfully designed to enhance the photocatalytic degradation of organic pollutants. It was demonstrated that complete and tight contact between BiOI-110 and DCN was achieved by changing the size and crystal facet of BiOI. Oxytetracycline (OTC) and methyl blue dyes were used as targets for pollutant degradation, and 85.6% and 96.5% photocatalytic degradation efficiencies, respectively, were observed in the optimal proportion of 7% BiOI-110/DCN. The experimental results and electron spin resonance analysis showed that •O2– and h+ played a major role in the process of pollutant degradation. Additionally, high-resolution liquid chromatography-mass spectrography was used to identify the reaction intermediates of OTC, and the possible degradation pathway of this pollutant was proposed. Finally, the excellent reusability of BiOI-110/DCN nanomaterials was confirmed, providing a new approach for the removal of antibiotics that are difficult to biodegrade. Overall, crystal facet design has been proven to have broad prospects in improving the water environment.

Keywords： high-exposure (110) facet     oxygen vacancy-rich     BiOI-110/DCN heterojunction     photocatalytic degradation     visible-light-response    

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Thermal fluid-structure interaction and coupled thermal-stress analysis in a cable stayed bridge exposed

Nazim Abdul NARIMAN

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 609-628 doi: 10.1007/s11709-018-0452-z

Abstract: In this paper, thermal fluid structure-interaction (TFSI) and coupled thermal-stress analysis are utilized to identify the effects of transient and steady-state heat-transfer on the vortex induced vibration and fatigue of a segmental bridge deck due to fire incidents. Numerical simulations of TFSI models of the deck are dedicated to calculate the lift and drag forces in addition to determining the lock-in regions once using fluid-structure interaction (FSI) models and another using TFSI models. Vorticity and thermal convection fields of three fire scenarios are simulated and analyzed. Simiu and Scanlan benchmark is used to validate the TFSI models, where a good agreement was manifested between the two results. Extended finite element method (XFEM) is adopted to create 3D models of the cable stayed bridge to simulate the fatigue of the deck considering three fire scenarios. Choi and Shin benchmark is used to validate the damaged models of the deck in which a good coincide was seen between them. The results revealed that TFSI models and coupled thermal-stress models are significant in detecting earlier vortex induced vibration and lock-in regions in addition to predicting damages and fatigue of the deck due to fire incidents.

Keywords： fire scenario     transient heat transfer     TFSI model     coupled thermal-stress     XFEM    

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Thermal performance of a single-layer packed metal pebble-bed exposed to high energy fluxes

Shengchun ZHANG, Zhifeng WANG, Hui BIAN, Pingrui HUANG

Frontiers in Energy 2021, Volume 15, Issue 2,   Pages 513-528 doi: 10.1007/s11708-019-0638-7

Abstract: accurately measure the temperature of the falling particle receiver since thermocouples may directly be exposed

Keywords： packed bed     solar thermal power plants     high heat fluxes     radiative heat transfer    

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Implementation of total Lagrangian formulation for the elasto-plastic analysis of plane steel frames exposed

Bing XIA, Yuching WU, Zhanfei HUANG

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3,   Pages 257-266 doi: 10.1007/s11709-012-0163-9

Abstract: In this paper, the co-rotational total Lagrangian forms of finite element formulations are derived to perform elasto-plastic analysis for plane steel frames that either experience increasing external loading at ambient temperature or constant external loading at elevated temperatures. Geometric nonlinearities and thermal-expansion effects are considered. A series of programs were developed based on these formulations. To verify the accuracy and efficiency of the nonlinear finite element programs, numerical benchmark tests were performed, and the results from these tests are in a good agreement with the literature. The effects of the nonlinear terms of the stiffness matrices on the computational results were investigated in detail. It was also demonstrated that the influence of geometric nonlinearities on the incremental steps of the finite element analysis for plane steel frames in the presence of fire is limited.

Keywords： co-rotational     total Lagrangian     geometrical nonlinearity     fire     elasto-plastic    

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Phytotoxicity in seven higher plant species exposed to di-

Tingting MA,Ying TENG,Peter CHRISTIE,Yongming LUO

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 2,   Pages 259-268 doi: 10.1007/s11783-014-0652-2

Abstract: We investigated phytotoxicity in seven plant species exposed to a range of concentrations (0– 500 mg·

Keywords： phytotoxicity     di-n-butyl phthalate     bis(2-ethylhexyl) phthalate     malondialdehyde     plant pigments (chlorophyll a     b and carotinoids)    

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Corrosion behavior of Fe–Cr–Ni based alloys exposed to molten MgCl2–KCl–NaCl salt with over-added

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10,   Pages 1608-1619 doi: 10.1007/s11705-023-2349-1

Abstract: MgCl2–NaCl–KCl salts mixture shows great potential as a high-temperature (> 700 °C) thermal energy storage material in next-generation concentrated solar power plants. Adding Mg into molten MgCl2–NaCl–KCl salt as a corrosion inhibitor is one of the most effective and cost-effective methods to mitigate the molten salt corrosion of commercial Fe–Cr–Ni alloys. However, it is found in this work that both stainless steel 310 and Incoloy 800H samples were severely corroded after 500 h immersion test at 700 °C when the alloy samples directly contacted with the over-added Mg in the liquid form. The corrosion attack is different from the classical impurity-driven corrosion in molten chloride salts found in previous work. Microscopic analysis indicates that Ni preferentially leaches out of alloy matrix due to the tendency to form MgNi2/Mg2Ni compounds. The Ni-depletion leads to the formation of a porous corrosion layer on both alloys, with the thickness around 204 µm (stainless steel 310) and 1300 µm (Incoloy 800H), respectively. These results suggest that direct contact of liquid Mg with Ni-containing alloys should be avoided during using Mg as a corrosion inhibitor for MgCl2–NaCl–KCl or other chlorides for high temperature heat storage and transfer.

Keywords： concentrated solar power (CSP)     Mg corrosion inhibitor     Mg–Ni intermetallic     salt purification     thermal energy storage (TES)    

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Deep learning model for estimating the mechanical properties of concrete containing silica fume exposed

Harun TANYILDIZI, Abdulkadir ŞENGÜR, Yaman AKBULUT, Murat ŞAHİN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1316-1330 doi: 10.1007/s11709-020-0646-z

Abstract: In this study, the deep learning models for estimating the mechanical properties of concrete containing silica fume subjected to high temperatures were devised. Silica fume was used at concentrations of 0%, 5%, 10%, and 20%. Cube specimens (100 mm × 100 mm × 100 mm) were prepared for testing the compressive strength and ultrasonic pulse velocity. They were cured at 20°C±2°C in a standard cure for 7, 28, and 90 d. After curing, they were subjected to temperatures of 20°C, 200°C, 400°C, 600°C, and 800°C. Two well-known deep learning approaches, i.e., stacked autoencoders and long short-term memory (LSTM) networks, were used for forecasting the compressive strength and ultrasonic pulse velocity of concrete containing silica fume subjected to high temperatures. The forecasting experiments were carried out using MATLAB deep learning and neural network tools, respectively. Various statistical measures were used to validate the prediction performances of both the approaches. This study found that the LSTM network achieved better results than the stacked autoencoders. In addition, this study found that deep learning, which has a very good prediction ability with little experimental data, was a convenient method for civil engineering.

Keywords： concrete     high temperature     strength properties     deep learning     stacked auto-encoders     LSTM network    

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Large deflection behavior effect in reinforced concrete columns exposed to extreme dynamic loads

Masoud ABEDINI, Azrul A. MUTALIB, Chunwei ZHANG, Javad MEHRMASHHADI, Sudharshan Naidu RAMAN, Roozbeh ALIPOUR, Tohid MOMENI, Mohamed H. MUSSA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 532-553 doi: 10.1007/s11709-020-0604-9

Abstract: Reinforced concretes (RC) have been widely used in constructions. In construction, one of the critical elements carrying a high percentage of the weight is columns which were not used to design to absorb large dynamic load like surface bursts. This study focuses on investigating blast load parameters to design of RC columns to withstand blast detonation. The numerical model is based on finite element analysis using LS-DYNA. Numerical results are validated against blast field tests available in the literature. Couples of simulations are performed with changing blast parameters to study effects of various scaled distances on the nonlinear behavior of RC columns. According to simulation results, the scaled distance has a substantial influence on the blast response of RC columns. With lower scaled distance, higher peak pressure and larger pressure impulse are applied on the RC column. Eventually, keeping the scaled distance unchanged, increasing the charge weight or shorter standoff distance cause more damage to the RC column. Intensive studies are carried out to investigate the effects of scaled distance and charge weight on the damage degree and residual axial load carrying capacity of RC columns with various column width, longitudinal reinforcement ratio and concrete strength. Results of this research will be used to assessment the effect of an explosion on the dynamic behavior of RC columns.

Keywords： RC column     scaled distance     blast load     LS-DYNA    

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ZnFe2O4 deposited on BiOCl with exposed (001) and (010) facets for photocatalytic

Guixian Song, Xionggang Wu, Feng Xin, Xiaohong Yin

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 2,   Pages 197-204 doi: 10.1007/s11705-016-1606-y

Abstract: Higher CF and CH yields were obtained for the pure BiOCl and BiOCl composite samples with more exposed(001) facets than for the samples with more exposed (010) facets.This is due to the higher density of oxygen atoms in the exposed (001) facets, which creates more oxygenmechanism for the photocatalytic reduction of CO in cyclohexanol over ZnFe O -BiOCl composites with exposed

Keywords： reduction of CO2     cyclohexanol     ZnFe2O4 deposited BiOCl     facet     composite photocatalyst    

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Analyses of levels of thyroid hormones and its receptor expression in puerperants and newborns from an e-waste dismantling site

JU Ying, CHEN Lan, JIANG Qi, YANG Kedi, CHEN Xuemin, XU Guojian, LI Liping

Frontiers of Medicine 2008, Volume 2, Issue 3,   Pages 276-282 doi: 10.1007/s11684-008-0052-8

Abstract: triiodothyronine (FT), free thyroxine(FT),thyroid stimulating hormone(TSH)among the subjects from the exposedWe found that the FT levels of both maternal serum and umbilical cord serum in the exposed group wereHowever, the increased TSH levels in the exposed group had statistically significance compared to those1 mRNA levels both in placentas and umbilical cords in the exposed group were lower than those in theHowever, the TSHR mRNA levels in the exposed group were significantly different compared to those in

Keywords： control     immuno radiometric     FT     TSH     exposed    

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Observations on pathological and histochemical changes in piglet livers infected with Taenia saginata asiatica

LINGHU Yan, ZHU Wujun, BAO Huai′en, CHEN Yan

Frontiers of Medicine 2007, Volume 1, Issue 3,   Pages 258-263 doi: 10.1007/s11684-007-0049-8

Abstract: The results show that -exposed piglets were indeed infected.

Keywords： hydropic degeneration     significant difference     -exposed     favorable intermediate     different    

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Dynamics of a neuron exposed to integer- and fractional-order discontinuous externalmagnetic flux Regular Papers

Karthikeyan RAJAGOPAL, Fahimeh NAZARIMEHR, Anitha KARTHIKEYAN, Ahmed ALSAEDI, Tasawar HAYAT, Viet-Thanh PHAM

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 584-590 doi: 10.1631/FITEE.1800389

Abstract:

We propose a modified Fitzhugh-Nagumo neuron (MFNN) model. Based on this model, an integerorder MFNN system (case A) and a fractional-order MFNN system (case B) were investigated. In the presence of electromagnetic induction and radiation, memductance and induction can show a variety of distributions. Fractionalorder magnetic flux can then be considered. Indeed, a fractional-order setting can be acceptable for non-uniform diffusion. In the case of an MFNN system with integer-order discontinuous magnetic flux, the system has chaotic and non-chaotic attractors. Dynamical analysis of the system shows the birth and death of period doubling, which is a sign of antimonotonicity. Such a behavior has not been studied previously in the dynamics of neurons. In an MFNN system with fractional-order discontinuous magnetic flux, different attractors such as chaotic and periodic attractors can be observed. However, there is no sign of antimonotonicity.

Keywords： Fitzhugh-Nagumo     Chaos     Fractional order     Magnetic flux    

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Title Author Date Type Operation

Time-dependent metabolomics uncover dynamic metabolic adaptions in MCF-7 cells exposed to bisphenol A

Journal Article

Hormesis-like growth and photosynthetic physiology of marine diatom Bohlin exposed to polystyrene microplastics

Journal Article

Crystal design of bismuth oxyiodide with highly exposed (110) facets on curved carbon nitride for the

Journal Article

Thermal fluid-structure interaction and coupled thermal-stress analysis in a cable stayed bridge exposed

Nazim Abdul NARIMAN

Journal Article

Thermal performance of a single-layer packed metal pebble-bed exposed to high energy fluxes

Shengchun ZHANG, Zhifeng WANG, Hui BIAN, Pingrui HUANG

Journal Article

Implementation of total Lagrangian formulation for the elasto-plastic analysis of plane steel frames exposed

Bing XIA, Yuching WU, Zhanfei HUANG

Journal Article

Phytotoxicity in seven higher plant species exposed to di-

Tingting MA,Ying TENG,Peter CHRISTIE,Yongming LUO

Journal Article

Corrosion behavior of Fe–Cr–Ni based alloys exposed to molten MgCl2–KCl–NaCl salt with over-added

Journal Article

Deep learning model for estimating the mechanical properties of concrete containing silica fume exposed

Harun TANYILDIZI, Abdulkadir ŞENGÜR, Yaman AKBULUT, Murat ŞAHİN

Journal Article

Large deflection behavior effect in reinforced concrete columns exposed to extreme dynamic loads

Masoud ABEDINI, Azrul A. MUTALIB, Chunwei ZHANG, Javad MEHRMASHHADI, Sudharshan Naidu RAMAN, Roozbeh ALIPOUR, Tohid MOMENI, Mohamed H. MUSSA

Journal Article

ZnFe2O4 deposited on BiOCl with exposed (001) and (010) facets for photocatalytic

Guixian Song, Xionggang Wu, Feng Xin, Xiaohong Yin

Journal Article

Analyses of levels of thyroid hormones and its receptor expression in puerperants and newborns from an e-waste dismantling site

JU Ying, CHEN Lan, JIANG Qi, YANG Kedi, CHEN Xuemin, XU Guojian, LI Liping

Journal Article

Observations on pathological and histochemical changes in piglet livers infected with Taenia saginata asiatica

LINGHU Yan, ZHU Wujun, BAO Huai′en, CHEN Yan

Journal Article

Dynamics of a neuron exposed to integer- and fractional-order discontinuous externalmagnetic flux

Karthikeyan RAJAGOPAL, Fahimeh NAZARIMEHR, Anitha KARTHIKEYAN, Ahmed ALSAEDI, Tasawar HAYAT, Viet-Thanh PHAM

Journal Article