TY - JOUR A1 - Peng, Tao A1 - Zhu, Ganghua A1 - Dong, Yunpeng A1 - Zeng, Junjie A1 - Li, Wei A1 - Guo, Weiwei A1 - Chen, Yong A1 - Duan, Maoli A1 - Hocher, Berthold A1 - Xie, Dinghua T1 - BMP4: a possible key factor in differentiation of auditory neuron-like cells from bone-derived mesenchymal stromal cells JF - Clinical laboratory : the peer reviewed journal for clinical laboratories and laboratories related to blood transfusion N2 - Background: Previous studies have shown that BMP4 may play an important part in the development of auditory neurons (ANs), which are degenerated in sensorineural hearing loss. However, whether BMP4 can promote sensory fate specification from mesenchymal stromal cells (MSCs) is unknown so far. Methods: MSCs isolated from Sprague-Dawley (SD) rats were confirmed by expression of MSC markers using flow cytometry and adipogenesis/osteogenesis using differentiation assays. MSCs treated with a complex of neurotrophic factors (BMP4 group and non-BMP4 group) were induced into auditory neuron-like cells, then the differences between the two groups were analyzed in morphological observation, cell growth curve, qRT-PCR, and immunofluorescence. Results: Flow cytometric analysis showed that the isolated cells expressed typical MSC surface markers. After adipogenic and osteogenic induction, the cells were stained by oil red O and Alizarin Red. The neuronal induced cells were in the growth plateau and had special forms of neurons. In the presence of BMP4, the inner ear genes NF-M, Neurog1, GluR4, NeuroD, Calretinin, NeuN, Tau, and GATA3 were up-regulated in MSCs. Conclusions: MSCs have the capacity to differentiate into auditory neuron-like cells in vitro. As an effective inducer, BMP4 may play a key role in transdifferentiation. KW - differentiation KW - auditory neurons KW - BMP4 Y1 - 2015 U6 - https://doi.org/10.7754/Clin.Lab.2015.150217 SN - 1433-6510 VL - 61 IS - 9 SP - 1171 EP - 1178 PB - Clin Lab Publ., Verl. Klinisches Labor CY - Heidelberg ER - TY - JOUR A1 - Mutothya, Nicholas Mwilu A1 - Xu, Yong A1 - Li, Yongge A1 - Metzler, Ralf A1 - Mutua, Nicholas Muthama T1 - First passage dynamics of stochastic motion in heterogeneous media driven by correlated white Gaussian and coloured non-Gaussian noises JF - Journal of physics. Complexity N2 - We study the first passage dynamics for a diffusing particle experiencing a spatially varying diffusion coefficient while driven by correlated additive Gaussian white noise and multiplicative coloured non-Gaussian noise. We consider three functional forms for position dependence of the diffusion coefficient: power-law, exponential, and logarithmic. The coloured non-Gaussian noise is distributed according to Tsallis' q-distribution. Tracks of the non-Markovian systems are numerically simulated by using the fourth-order Runge-Kutta algorithm and the first passage times (FPTs) are recorded. The FPT density is determined along with the mean FPT (MFPT). Effects of the noise intensity and self-correlation of the multiplicative noise, the intensity of the additive noise, the cross-correlation strength, and the non-extensivity parameter on the MFPT are discussed. KW - first passage KW - diffusion KW - non-Gaussian KW - correlated noise Y1 - 2021 U6 - https://doi.org/10.1088/2632-072X/ac35b5 SN - 2632-072X VL - 2 PB - IOP Publishing CY - Bristol ER - TY - JOUR A1 - Reiche, Matthias A1 - Funk, Roger A1 - Zhang, Zhuodong A1 - Hoffmann, Carsten A1 - Reiche, Johannes A1 - Wehrhan, Marc A1 - Li, Yong A1 - Sommer, Michael T1 - Application of satellite remote sensing for mapping wind erosion risk and dust emission-deposition in Inner Mongolia grassland, China JF - Grassland science N2 - Intensive grazing leads to land degradation and desertification of grassland ecosystems followed by serious environmental and social problems. The Xilingol steppe grassland in Inner Mongolia, China, which has been a sink area for dust for centuries, is strongly affected by the negative effects of overgrazing and wind erosion. The aim of this study is the provision of a wind erosion risk map with a spatial high resolution of 25 m to identify actual source and sink areas. In an integrative approach, field measurements of vegetation features and surface roughness length z0 were combined with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image data for a land use classification. To determine the characteristics of the different land use classes, a field observation (ground truth) was performed in April 2009. The correlation of vegetation height and z0 (R2 = 0.8, n = 55) provided the basis for a separation of three main classes, grassland, non-vegetation and other. The integration of the soil-adjusted vegetation index (SAVI) and the spectral information from the atmospheric corrected ASTER bands 1, 2 and 3 (visible to near-infrared) led to a classification of the overall accuracy (OA) of 0.79 with a kappa () statistic of 0.74, respectively. Additionally, a digital elevation model (DEM) was used to identify topographical effects in relation to the main wind direction, which enabled a qualitative estimation of potential dust deposition areas. The generated maps result in a significantly higher description of the spatial variability in the Xilingol steppe grassland reflecting the different land use intensities on the current state of the grassland less, moderately and highly degraded. The wind erosion risk map enables the identification of characteristic mineral dust sources, sinks and transition zones. KW - Advanced Spaceborne Thermal Emission and Reflection Radiometer data KW - dust emission and deposition KW - soil-adjusted vegetation index KW - semiarid grassland KW - wind erosion Y1 - 2012 U6 - https://doi.org/10.1111/j.1744-697X.2011.00235.x SN - 1744-6961 VL - 58 IS - 1 SP - 8 EP - 19 PB - Wiley-Blackwell CY - Malden ER - TY - JOUR A1 - Zhang, Zhuodong A1 - Wieland, Ralf A1 - Reiche, Matthias A1 - Funk, Roger A1 - Hoffmann, Carsten A1 - Li, Yong A1 - Sommer, Michael T1 - Identifying sensitive areas to wind erosion in the xilingele grassland by computational fluid dynamics modelling JF - Ecological informatics : an international journal on ecoinformatics and computational ecolog N2 - In order to identify the areas in the Xilingele grassland which are sensitive to wind erosion, a computational fluid dynamics model (CFD-WEM) was used to simulate the wind fields over a region of 37 km(2) which contains different topography and land use types. Previous studies revealed the important influences of topography and land use on wind erosion in the Xilingele grassland. Topography influences wind fields at large scale, and land use influences wind fields near the ground. Two steps were designed to implement the CFD wind simulation, and they were respectively to simulate the influence of topography and surface roughness on the wind. Digital elevation model (DEM) and surface roughness length were the key inputs for the CFD simulation. The wind simulation by CFD-WEM was validated by a wind data set which was measured simultaneously at six positions in the field. Three scenarios with different wind velocities were designed based on observed dust storm events, and wind fields were simulated according to these scenarios to predict the sensitive areas to wind erosion. General assumptions that cropland is the most sensitive area to wind erosion and heavily and moderately grazed grasslands are both sensitive etc. can be refined by the modelling of CFD-WEM. Aided by the results of this study, the land use planning and protection measures against wind erosion can be more efficient. Based on the case study in the Xilingele grassland, a method of regional wind erosion assessment aided by CFD wind simulation is summarized. The essence of this method is a combination of CFD wind simulation and determination of threshold wind velocity for wind erosion. Because of the physically-based simulation and the flexibility of the method, it can be generalised to other regions. KW - Sensitive areas KW - Wind erosion KW - Computational fluid dynamics KW - Grassland KW - Surface roughness Y1 - 2012 U6 - https://doi.org/10.1016/j.ecoinf.2011.12.002 SN - 1574-9541 VL - 8 IS - 5 SP - 37 EP - 47 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Zhang, Zhuo-dong A1 - Wieland, Ralf A1 - Reiche, Matthias A1 - Funk, Roger A1 - Hoffmann, Carsten A1 - Li, Yong A1 - Sommer, Michael T1 - A computational fluid dynamics model for wind simulation: model implementation and experimental validation JF - Journal of Zhejiang University : an international journal ; Science A, Applied physics & engineering : an international applied physics & engineering journal N2 - To provide physically based wind modelling for wind erosion research at regional scale, a 3D computational fluid dynamics (CFD) wind model was developed. The model was programmed in C language based on the Navier-Stokes equations, and it is freely available as open source. Integrated with the spatial analysis and modelling tool (SAMT), the wind model has convenient input preparation and powerful output visualization. To validate the wind model, a series of experiments was conducted in a wind tunnel. A blocking inflow experiment was designed to test the performance of the model on simulation of basic fluid processes. A round obstacle experiment was designed to check if the model could simulate the influences of the obstacle on wind field. Results show that measured and simulated wind fields have high correlations, and the wind model can simulate both the basic processes of the wind and the influences of the obstacle on the wind field. These results show the high reliability of the wind model. A digital elevation model (DEM) of an area (3800 m long and 1700 m wide) in the Xilingele grassland in Inner Mongolia (autonomous region, China) was applied to the model, and a 3D wind field has been successfully generated. The clear implementation of the model and the adequate validation by wind tunnel experiments laid a solid foundation for the prediction and assessment of wind erosion at regional scale. KW - Wind model KW - Computational fluid dynamics (CFD) KW - Wind erosion KW - Wind tunnel experiments KW - Spatial analysis and modelling tool (SAMT) KW - Open source Y1 - 2012 U6 - https://doi.org/10.1631/jzus.A1100231 SN - 1673-565X VL - 13 IS - 4 SP - 274 EP - 283 PB - Zhejiang University Press CY - Hangzou ER - TY - JOUR A1 - Zhang, Zhuodong A1 - Wieland, Ralf A1 - Reiche, Matthias A1 - Funk, Roger A1 - Hoffmann, Carsten A1 - Li, Yong A1 - Sommer, Michael T1 - Wind modelling for wind erosion research by open source computational fluid dynamics JF - Ecological informatics : an international journal on ecoinformatics and computational ecolog N2 - The open source computational fluid dynamics (CFD) wind model (CFD-WEM) for wind erosion research in the Xilingele grassland in Inner Mongolia (autonomous region, China) is compared with two open source CFD models Gerris and OpenFOAM. The evaluation of these models was made according to software technology, implemented methods, handling, accuracy and calculation speed. All models were applied to the same wind tunnel data set. Results show that the simplest CFD-WEM has the highest calculation speed with acceptable accuracy, and the most powerful OpenFOAM produces the simulation with highest accuracy and the lowest calculation speed. Gerris is between CFD-WEM and OpenFOAM. It calculates faster than OpenFOAM, and it is capable to solve different CFD problems. CFD-WEM is the optimal model to be further developed for wind erosion research in Inner Mongolia grassland considering its efficiency and the uncertainties of other input data. However, for other applications using CFD technology, Gerris and OpenFOAM can be good choices. This paper shows the powerful capability of open source CFD software in wind erosion study, and advocates more involvement of open source technology in wind erosion and related ecological researches. KW - Computational fluid dynamics KW - Wind modelling KW - Open source KW - Wind erosion KW - Gerris KW - OpenFOAM KW - SAMT Y1 - 2011 U6 - https://doi.org/10.1016/j.ecoinf.2011.02.001 SN - 1574-9541 VL - 6 IS - 5 SP - 316 EP - 324 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Atsawawaranunt, Kamolphat A1 - Comas-Bru, Laia A1 - Mozhdehi, Sahar Amirnezhad A1 - Deininger, Michael A1 - Harrison, Sandy P. A1 - Baker, Andy A1 - Boyd, Meighan A1 - Kaushal, Nikita A1 - Ahmad, Syed Masood A1 - Brahim, Yassine Ait A1 - Arienzo, Monica A1 - Bajo, Petra A1 - Braun, Kerstin A1 - Burstyn, Yuval A1 - Chawchai, Sakonvan A1 - Duan, Wuhui A1 - Hatvani, Istvan Gabor A1 - Hu, Jun A1 - Kern, Zoltan A1 - Labuhn, Inga A1 - Lachniet, Matthew A1 - Lechleitner, Franziska A. A1 - Lorrey, Andrew A1 - Perez-Mejias, Carlos A1 - Pickering, Robyn A1 - Scroxton, Nick A1 - Atkinson, Tim A1 - Ayalon, Avner A1 - Baldini, James A1 - Bar-Matthews, Miriam A1 - Pablo Bernal, Juan A1 - Breitenbach, Sebastian Franz Martin A1 - Boch, Ronny A1 - Borsato, Andrea A1 - Cai, Yanjun A1 - Carolin, Stacy A1 - Cheng, Hai A1 - Columbu, Andrea A1 - Couchoud, Isabelle A1 - Cruz, Francisco A1 - Demeny, Attila A1 - Dominguez-Villar, David A1 - Dragusin, Virgil A1 - Drysdale, Russell A1 - Ersek, Vasile A1 - Finne, Martin A1 - Fleitmann, Dominik A1 - Fohlmeister, Jens Bernd A1 - Frappier, Amy A1 - Genty, Dominique A1 - Holzkamper, Steffen A1 - Hopley, Philip A1 - Kathayat, Gayatri A1 - Keenan-Jones, Duncan A1 - Koltai, Gabriella A1 - Luetscher, Marc A1 - Li, Ting-Yong A1 - Lone, Mahjoor Ahmad A1 - Markowska, Monika A1 - Mattey, Dave A1 - McDermott, Frank A1 - Moreno, Ana A1 - Moseley, Gina A1 - Nehme, Carole A1 - Novello, Valdir F. A1 - Psomiadis, David A1 - Rehfeld, Kira A1 - Ruan, Jiaoyang A1 - Sekhon, Natasha A1 - Sha, Lijuan A1 - Sholz, Denis A1 - Shopov, Yavor A1 - Smith, Andrew A1 - Strikis, Nicolas A1 - Treble, Pauline A1 - Unal-Imer, Ezgi A1 - Vaks, Anton A1 - Vansteenberge, Stef A1 - Veiga-Pires, Cristina A1 - Voarintsoa, Ny Riavo A1 - Wang, Xianfeng A1 - Wong, Corinne A1 - Wortham, Barbara A1 - Wurtzel, Jennifer A1 - Zong, Baoyun T1 - The SISAL database BT - a global resource to document oxygen and carbon isotope records from speleothems JF - Earth System Science Data N2 - Stable isotope records from speleothems provide information on past climate changes, most particularly information that can be used to reconstruct past changes in precipitation and atmospheric circulation. These records are increasingly being used to provide "out-of-sample" evaluations of isotope-enabled climate models. SISAL (Speleothem Isotope Synthesis and Analysis) is an international working group of the Past Global Changes (PAGES) project. The working group aims to provide a comprehensive compilation of speleothem isotope records for climate reconstruction and model evaluation. The SISAL database contains data for individual speleothems, grouped by cave system. Stable isotopes of oxygen and carbon (delta O-18, delta C-13) measurements are referenced by distance from the top or bottom of the speleothem. Additional tables provide information on dating, including information on the dates used to construct the original age model and sufficient information to assess the quality of each data set and to erect a standardized chronology across different speleothems. The metadata table provides location information, information on the full range of measurements carried out on each speleothem and information on the cave system that is relevant to the interpretation of the records, as well as citations for both publications and archived data. Y1 - 2018 U6 - https://doi.org/10.5194/essd-10-1687-2018 SN - 1866-3508 SN - 1866-3516 VL - 10 IS - 3 SP - 1687 EP - 1713 PB - Copernicus CY - Göttingen ER - TY - JOUR A1 - Comas-Bru, Laia A1 - Harrison, Sandy P. A1 - Werner, Martin A1 - Rehfeld, Kira A1 - Scroxton, Nick A1 - Veiga-Pires, Cristina A1 - Ahmad, Syed Masood A1 - Brahim, Yassine Ait A1 - Mozhdehi, Sahar Amirnezhad A1 - Arienzo, Monica A1 - Atsawawaranunt, Kamolphat A1 - Baker, Andy A1 - Braun, Kerstin A1 - Breitenbach, Sebastian Franz Martin A1 - Burstyn, Yuval A1 - Chawchai, Sakonvan A1 - Columbu, Andrea A1 - Deininger, Michael A1 - Demeny, Attila A1 - Dixon, Bronwyn A1 - Hatvani, Istvan Gabor A1 - Hu, Jun A1 - Kaushal, Nikita A1 - Kern, Zoltan A1 - Labuhn, Inga A1 - Lachniet, Matthew S. A1 - Lechleitner, Franziska A. A1 - Lorrey, Andrew A1 - Markowska, Monika A1 - Nehme, Carole A1 - Novello, Valdir F. A1 - Oster, Jessica A1 - Perez-Mejias, Carlos A1 - Pickering, Robyn A1 - Sekhon, Natasha A1 - Wang, Xianfeng A1 - Warken, Sophie A1 - Atkinson, Tim A1 - Ayalon, Avner A1 - Baldini, James A1 - Bar-Matthews, Miryam A1 - Bernal, Juan Pablo A1 - Boch, Ronny A1 - Borsato, Andrea A1 - Boyd, Meighan A1 - Brierley, Chris A1 - Cai, Yanjun A1 - Carolin, Stacy A1 - Cheng, Hai A1 - Constantin, Silviu A1 - Couchoud, Isabelle A1 - Cruz, Francisco A1 - Denniston, Rhawn A1 - Dragusin, Virgil A1 - Duan, Wuhui A1 - Ersek, Vasile A1 - Finne, Martin A1 - Fleitmann, Dominik A1 - Fohlmeister, Jens Bernd A1 - Frappier, Amy A1 - Genty, Dominique A1 - Holzkamper, Steffen A1 - Hopley, Philip A1 - Johnston, Vanessa A1 - Kathayat, Gayatri A1 - Keenan-Jones, Duncan A1 - Koltai, Gabriella A1 - Li, Ting-Yong A1 - Lone, Mahjoor Ahmad A1 - Luetscher, Marc A1 - Mattey, Dave A1 - Moreno, Ana A1 - Moseley, Gina A1 - Psomiadis, David A1 - Ruan, Jiaoyang A1 - Scholz, Denis A1 - Sha, Lijuan A1 - Smith, Andrew Christopher A1 - Strikis, Nicolas A1 - Treble, Pauline A1 - Unal-Imer, Ezgi A1 - Vaks, Anton A1 - Vansteenberge, Stef A1 - Voarintsoa, Ny Riavo G. A1 - Wong, Corinne A1 - Wortham, Barbara A1 - Wurtzel, Jennifer A1 - Zhang, Haiwei T1 - Evaluating model outputs using integrated global speleothem records of climate change since the last glacial JF - Climate of the past : an interactive open access journal of the European Geosciences Union N2 - Although quantitative isotope data from speleothems has been used to evaluate isotope-enabled model simulations, currently no consensus exists regarding the most appropriate methodology through which to achieve this. A number of modelling groups will be running isotope-enabled palaeoclimate simulations in the framework of the Coupled Model Intercomparison Project Phase 6, so it is timely to evaluate different approaches to using the speleothem data for data–model comparisons. Here, we illustrate this using 456 globally distributed speleothem δ18O records from an updated version of the Speleothem Isotopes Synthesis and Analysis (SISAL) database and palaeoclimate simulations generated using the ECHAM5-wiso isotope-enabled atmospheric circulation model. We show that the SISAL records reproduce the first-order spatial patterns of isotopic variability in the modern day, strongly supporting the application of this dataset for evaluating model-derived isotope variability into the past. However, the discontinuous nature of many speleothem records complicates the process of procuring large numbers of records if data–model comparisons are made using the traditional approach of comparing anomalies between a control period and a given palaeoclimate experiment. To circumvent this issue, we illustrate techniques through which the absolute isotope values during any time period could be used for model evaluation. Specifically, we show that speleothem isotope records allow an assessment of a model's ability to simulate spatial isotopic trends. Our analyses provide a protocol for using speleothem isotope data for model evaluation, including screening the observations to take into account the impact of speleothem mineralogy on δ18O values, the optimum period for the modern observational baseline and the selection of an appropriate time window for creating means of the isotope data for palaeo-time-slices. Y1 - 2019 U6 - https://doi.org/10.5194/cp-15-1557-2019 SN - 1814-9324 SN - 1814-9332 VL - 15 IS - 4 SP - 1557 EP - 1579 PB - Copernicus CY - Göttingen ER - TY - JOUR A1 - Rosin, Paul L. A1 - Lai, Yu-Kun A1 - Mould, David A1 - Yi, Ran A1 - Berger, Itamar A1 - Doyle, Lars A1 - Lee, Seungyong A1 - Li, Chuan A1 - Liu, Yong-Jin A1 - Semmo, Amir A1 - Shamir, Ariel A1 - Son, Minjung A1 - Winnemöller, Holger T1 - NPRportrait 1.0: A three-level benchmark for non-photorealistic rendering of portraits JF - Computational visual media N2 - Recently, there has been an upsurge of activity in image-based non-photorealistic rendering (NPR), and in particular portrait image stylisation, due to the advent of neural style transfer (NST). However, the state of performance evaluation in this field is poor, especially compared to the norms in the computer vision and machine learning communities. Unfortunately, the task of evaluating image stylisation is thus far not well defined, since it involves subjective, perceptual, and aesthetic aspects. To make progress towards a solution, this paper proposes a new structured, three-level, benchmark dataset for the evaluation of stylised portrait images. Rigorous criteria were used for its construction, and its consistency was validated by user studies. Moreover, a new methodology has been developed for evaluating portrait stylisation algorithms, which makes use of the different benchmark levels as well as annotations provided by user studies regarding the characteristics of the faces. We perform evaluation for a wide variety of image stylisation methods (both portrait-specific and general purpose, and also both traditional NPR approaches and NST) using the new benchmark dataset. KW - non-photorealistic rendering (NPR) KW - image stylization KW - style transfer KW - portrait KW - evaluation KW - benchmark Y1 - 2022 U6 - https://doi.org/10.1007/s41095-021-0255-3 SN - 2096-0433 SN - 2096-0662 VL - 8 IS - 3 SP - 445 EP - 465 PB - Springer Nature CY - London ER -