The detection on tetracycline( TC) in drinking water poses an environmental issue since TC has been widely used to prevent animal disease and promote their growth. In addition,TC was difficult to remove or biodegrade,...The detection on tetracycline( TC) in drinking water poses an environmental issue since TC has been widely used to prevent animal disease and promote their growth. In addition,TC was difficult to remove or biodegrade,which posed a challenge to the conventional techniques. In this work,the batch experiments on TC adsorption in aqueous solution of hydrogel( HG) consisting of graphene oxide( GO) and TiO_2 nanotubes( TN) were successfully conducted. HG composite( HG-TN-GO) was prepared with TN and GO with self-assembly method during the oxidation-reduction reaction,and criogel( CG) with TN and GO was characterized by pH at point of zero charge( pH_(pzc)), transmission electron microscopy, Raman spectroscopy and X-ray photoelectron spectroscopy( XPS). The adsorption capacity of HG-TN-GO on TC was evaluated by analyzing its isotherms. The maximum adsorption capacity reached 751. 3 mg/g. Besides,the adsorption isotherms were well fitted by the Langmuir model, with the theoretical maximum( q_m) of 797. 0 mg/g. The adsorption process was systematically studied by varying pH during the whole adsorption process. The adsorption occurred probably via π-π interaction and cation-π bonding between TC and the HG-TN-GO surface. The composite could be regenerated in 50% ethanol aqueous solution,without significant capacity loss. After 6 recycles,the decrease of adsorption capacity was less than 10%.展开更多
Bismuth telluride（Bi2Te3） based alloys, such as p-type Bi（0.5）Sb（1.5）Te3, have been leading candidates for near room temperature thermoelectric applications. In this study, Bi（0.48）Sb（1.52）Te3 bulk materials...Bismuth telluride（Bi2Te3） based alloys, such as p-type Bi（0.5）Sb（1.5）Te3, have been leading candidates for near room temperature thermoelectric applications. In this study, Bi（0.48）Sb（1.52）Te3 bulk materials with MnSb2Se4 were prepared using high-energy ball milling and spark plasma sintering（SPS） process. The addition of MnSb2Se4 to Bi（0.48）Sb（1.52）Te3 increased the hole concentration while slightly decreasing the Seebeck coefficient, thus optimising the electrical transport properties of the bulk material. In addition, the second phases of MnSb2Se4 and Bi（0.48）Sb（1.52）Te3 were observed in the Bi（0.48）Sb（1.52）Te3 matrix. The nanoparticles in the semi-coherent second phase of MnSb2Se4 behaved as scattering centres for phonons,yielding a reduction in the lattice thermal conductivity. Substantial enhancement of the figure of merit, ZT, has been achieved for Bi（0.48）Sb（1.52）Te3 by adding an Mn（0.8）Cu（0.2）Sb2Se4（2mol%） sample, for a wide range of temperatures, with a peak value of 1.43 at 375 K, corresponding to -40% improvement over its Bi（0.48）Sb（1.52）Te3 counterpart. Such enhancement of the thermoelectric（TE） performance of p-type Bi2Te3 based materials is believed to be advantageous for practical applications.展开更多
光场图像作为一种能够捕获场景每个位置光线信息的图像类型,在电子成像、医学影像和虚拟现实等领域具有广泛的应用前景.光场图像质量评估(Light Field Image Quality Assessment,LFIQA)旨在衡量此类图像的质量,但当前方法面临视觉效果...光场图像作为一种能够捕获场景每个位置光线信息的图像类型,在电子成像、医学影像和虚拟现实等领域具有广泛的应用前景.光场图像质量评估(Light Field Image Quality Assessment,LFIQA)旨在衡量此类图像的质量,但当前方法面临视觉效果与文本模态间异构性的重要挑战.为解决上述问题,本文提出了一种基于文本-视觉的多模态光场图像质量评估模型.具体来说,在视觉模态方面,我们设计了多任务模型,结合边缘自动阈值算法有效丰富了光场图像的关键表示特征.在文本模态方面,基于输入噪声特征与预测噪声特征的对比,准确识别光场图像的噪声类别,并验证了噪声预测对优化视觉表示的重要性.基于上述研究,进一步提出了一种优化的通用噪声文本配置方法,并结合边缘增强策略,显著提升了基线模型在光场图像质量评估中的准确性和泛化能力.此外,通过消融实验,评估了各组件对整体模型性能的贡献,验证了本文方法的有效性和稳健性.实验结果表明,该方法不仅在公开数据集Win5-LID和NBU-LF1.0的实验中表现出色,还在融合数据集中展示出优秀的实验结果,与现有最优算法相比,本文所提方法在两个数据库中的性能分别提升了2%和6%.本文提出的噪声验证策略和配置方法不仅为图像质量评估中的噪声预测任务提供了有价值的参考,也可用于其它噪声预测类型的辅助任务.展开更多
基金Environmental Engineering,Natural Science Foundation of China(No.51522805)Innovation Foundation of Nanjing Institute of Technology,China(No.CKJB201410)
文摘The detection on tetracycline( TC) in drinking water poses an environmental issue since TC has been widely used to prevent animal disease and promote their growth. In addition,TC was difficult to remove or biodegrade,which posed a challenge to the conventional techniques. In this work,the batch experiments on TC adsorption in aqueous solution of hydrogel( HG) consisting of graphene oxide( GO) and TiO_2 nanotubes( TN) were successfully conducted. HG composite( HG-TN-GO) was prepared with TN and GO with self-assembly method during the oxidation-reduction reaction,and criogel( CG) with TN and GO was characterized by pH at point of zero charge( pH_(pzc)), transmission electron microscopy, Raman spectroscopy and X-ray photoelectron spectroscopy( XPS). The adsorption capacity of HG-TN-GO on TC was evaluated by analyzing its isotherms. The maximum adsorption capacity reached 751. 3 mg/g. Besides,the adsorption isotherms were well fitted by the Langmuir model, with the theoretical maximum( q_m) of 797. 0 mg/g. The adsorption process was systematically studied by varying pH during the whole adsorption process. The adsorption occurred probably via π-π interaction and cation-π bonding between TC and the HG-TN-GO surface. The composite could be regenerated in 50% ethanol aqueous solution,without significant capacity loss. After 6 recycles,the decrease of adsorption capacity was less than 10%.
基金supported by the National Natural Science Foundation of China(Grant Nos.51472052 and Y6J1421A41)
文摘Bismuth telluride（Bi2Te3） based alloys, such as p-type Bi（0.5）Sb（1.5）Te3, have been leading candidates for near room temperature thermoelectric applications. In this study, Bi（0.48）Sb（1.52）Te3 bulk materials with MnSb2Se4 were prepared using high-energy ball milling and spark plasma sintering（SPS） process. The addition of MnSb2Se4 to Bi（0.48）Sb（1.52）Te3 increased the hole concentration while slightly decreasing the Seebeck coefficient, thus optimising the electrical transport properties of the bulk material. In addition, the second phases of MnSb2Se4 and Bi（0.48）Sb（1.52）Te3 were observed in the Bi（0.48）Sb（1.52）Te3 matrix. The nanoparticles in the semi-coherent second phase of MnSb2Se4 behaved as scattering centres for phonons,yielding a reduction in the lattice thermal conductivity. Substantial enhancement of the figure of merit, ZT, has been achieved for Bi（0.48）Sb（1.52）Te3 by adding an Mn（0.8）Cu（0.2）Sb2Se4（2mol%） sample, for a wide range of temperatures, with a peak value of 1.43 at 375 K, corresponding to -40% improvement over its Bi（0.48）Sb（1.52）Te3 counterpart. Such enhancement of the thermoelectric（TE） performance of p-type Bi2Te3 based materials is believed to be advantageous for practical applications.
文摘光场图像作为一种能够捕获场景每个位置光线信息的图像类型,在电子成像、医学影像和虚拟现实等领域具有广泛的应用前景.光场图像质量评估(Light Field Image Quality Assessment,LFIQA)旨在衡量此类图像的质量,但当前方法面临视觉效果与文本模态间异构性的重要挑战.为解决上述问题,本文提出了一种基于文本-视觉的多模态光场图像质量评估模型.具体来说,在视觉模态方面,我们设计了多任务模型,结合边缘自动阈值算法有效丰富了光场图像的关键表示特征.在文本模态方面,基于输入噪声特征与预测噪声特征的对比,准确识别光场图像的噪声类别,并验证了噪声预测对优化视觉表示的重要性.基于上述研究,进一步提出了一种优化的通用噪声文本配置方法,并结合边缘增强策略,显著提升了基线模型在光场图像质量评估中的准确性和泛化能力.此外,通过消融实验,评估了各组件对整体模型性能的贡献,验证了本文方法的有效性和稳健性.实验结果表明,该方法不仅在公开数据集Win5-LID和NBU-LF1.0的实验中表现出色,还在融合数据集中展示出优秀的实验结果,与现有最优算法相比,本文所提方法在两个数据库中的性能分别提升了2%和6%.本文提出的噪声验证策略和配置方法不仅为图像质量评估中的噪声预测任务提供了有价值的参考,也可用于其它噪声预测类型的辅助任务.
