In light of recent events,it is becoming extremely difficult to ignore the serious environmental pollution caused by pharmaceuticals in water.In this study,two novel metal-organic gels(MOGs),JLUE-MOG-1 and JLUE-MOG-2,...In light of recent events,it is becoming extremely difficult to ignore the serious environmental pollution caused by pharmaceuticals in water.In this study,two novel metal-organic gels(MOGs),JLUE-MOG-1 and JLUE-MOG-2,were successfully synthesized using a solvothermal method and then used for photocatalytic removal of a typical pharmaceutical[chlortetracycline hydrochloride(CTC)]from water.After treatment with a freeze-drying procedure,the resultant metal-organic aerogels were obtained and their morphologies and porous structures were fully characterized using SEM,TEM,TGA,PXRD,UV-Vis,FT-IR,XPS and nitrogen adsorption measurements.The accessibility of the porousness was verified from the adsorption performance,which was investigated to keep to the pseudo-second-order kinetic model and the Langmuir isotherm model.Furthermore,the catalytic tests disclosed that JLUE-MOG-1 showed an extremely high photocatalytic activity,which largely outperformed JLUE-MOG-2 in terms of larger specific surface area and better response to visible irradiation caused by the Fe-O clusters.Furthermore,because of the synergistic effect of the Fenton-like reaction and photocatalytic process,the photocatalytic performance of JLUE-MOG-1 could be enhanced in the presence of hydrogen peroxide(H_(2)O_(2)).Then,the effects of photocatalyst dosage,H_(2)O_(2) concentration and initial solution pH on the photocatalytic degradation of CTC were examined.Therefore,because of a combination of high porosity,hierarchical pore structures,easily accessible triazine-moieties and Fe-functionalities,an efficient and recyclable heterogeneous photocatalyst,with a high throughput and a wide operating range,for wastewater treatment was successfully achieved.展开更多
饥饿程度的准确判别是实现水产养殖精准投喂的关键环节。目前常见的投喂方式多依赖人工经验,缺乏客观依据,容易导致投喂量不当和过度投喂等问题。在现有的鱼类摄食行为分类方法中,多数依据摄食时产生的水花剧烈程度来定性评估摄食强度,...饥饿程度的准确判别是实现水产养殖精准投喂的关键环节。目前常见的投喂方式多依赖人工经验,缺乏客观依据,容易导致投喂量不当和过度投喂等问题。在现有的鱼类摄食行为分类方法中,多数依据摄食时产生的水花剧烈程度来定性评估摄食强度,但这类标准主观性强,本质上仍未脱离对人工经验的依赖。在水产养殖中,约15%~30%的饲料因过度投喂而浪费,其中过度投喂贡献12.3%。因此,提出了一种基于深度视频与红外视频融合的量化检测方法,旨在提升鲈鱼摄食强度精准判定。将深度视频与红外视频的帧图像输入到DAIF-MOG2(Depth And Infrared Fusion-Mixture of Gaussians 2)优化模型进行特征提取,并将提取后结果进行融合与饥饿度评估,最后给出量化饥饿程度分数。针对DAIF-MOG2优化模型,基于MOG2算法进行了改进,将单阶段单模态学习优化为分阶段多模态学习,提高了学习稳定性并弥补了单一模态的局限性,引入了形状特征约束与物理空间的验证约束,提升了复杂环境下整体检测性能与鲁棒性。实验结果表明,提出的多模态融合模型鲈鱼摄食强度量化判定方法,准确率达到94.2%,相较于原始MOG2模型,综合性能提升51.6%,能够快速实现鱼类饥饿程度判断,有效利用多模态信息,确保实际养殖场景下鲈鱼投喂的及时性与准确性,减少饲料浪费情况。展开更多
目的探讨视神经炎缓解期发生抗N-甲基-D-天冬氨酸受体(N-methyl-D-aspartate-receptor,NMDAR)脑炎的临床特征。方法回顾性分析视神经炎缓解期出现抗NMDAR脑炎患者1例,并结合已发表的国内外文献进行复习。结果患者28岁女性,因“发作性意...目的探讨视神经炎缓解期发生抗N-甲基-D-天冬氨酸受体(N-methyl-D-aspartate-receptor,NMDAR)脑炎的临床特征。方法回顾性分析视神经炎缓解期出现抗NMDAR脑炎患者1例,并结合已发表的国内外文献进行复习。结果患者28岁女性,因“发作性意识不清、四肢抽搐伴幻听2 h 40 min”就诊,既往视神经炎激素冲击治疗减量过程中出现“癫痫样发作”,住院期间再次癫痫发作。行头颅磁共振成像示边缘叶脑炎并脑膜炎;血清、脑脊液检查抗NMDAR1抗体阳性。诊断为“视神经炎缓解期抗NMDAR脑炎”,经激素治疗后症状好转,1年后随访未见复发。结论视神经炎患者出现癫痫症状时,建议行自身免疫性脑炎相关抗体检测,尽早明确诊断及治疗。展开更多
基金supported by the National Natural Science Foundation of China(Project No.21601177)the Open Project of the State Key Laboratory of Inorganic Synthesis and Preparative Chemistry,College of Chemistry,Jilin University(No.2019-29)the 111 Project(B16020).
文摘In light of recent events,it is becoming extremely difficult to ignore the serious environmental pollution caused by pharmaceuticals in water.In this study,two novel metal-organic gels(MOGs),JLUE-MOG-1 and JLUE-MOG-2,were successfully synthesized using a solvothermal method and then used for photocatalytic removal of a typical pharmaceutical[chlortetracycline hydrochloride(CTC)]from water.After treatment with a freeze-drying procedure,the resultant metal-organic aerogels were obtained and their morphologies and porous structures were fully characterized using SEM,TEM,TGA,PXRD,UV-Vis,FT-IR,XPS and nitrogen adsorption measurements.The accessibility of the porousness was verified from the adsorption performance,which was investigated to keep to the pseudo-second-order kinetic model and the Langmuir isotherm model.Furthermore,the catalytic tests disclosed that JLUE-MOG-1 showed an extremely high photocatalytic activity,which largely outperformed JLUE-MOG-2 in terms of larger specific surface area and better response to visible irradiation caused by the Fe-O clusters.Furthermore,because of the synergistic effect of the Fenton-like reaction and photocatalytic process,the photocatalytic performance of JLUE-MOG-1 could be enhanced in the presence of hydrogen peroxide(H_(2)O_(2)).Then,the effects of photocatalyst dosage,H_(2)O_(2) concentration and initial solution pH on the photocatalytic degradation of CTC were examined.Therefore,because of a combination of high porosity,hierarchical pore structures,easily accessible triazine-moieties and Fe-functionalities,an efficient and recyclable heterogeneous photocatalyst,with a high throughput and a wide operating range,for wastewater treatment was successfully achieved.
文摘饥饿程度的准确判别是实现水产养殖精准投喂的关键环节。目前常见的投喂方式多依赖人工经验,缺乏客观依据,容易导致投喂量不当和过度投喂等问题。在现有的鱼类摄食行为分类方法中,多数依据摄食时产生的水花剧烈程度来定性评估摄食强度,但这类标准主观性强,本质上仍未脱离对人工经验的依赖。在水产养殖中,约15%~30%的饲料因过度投喂而浪费,其中过度投喂贡献12.3%。因此,提出了一种基于深度视频与红外视频融合的量化检测方法,旨在提升鲈鱼摄食强度精准判定。将深度视频与红外视频的帧图像输入到DAIF-MOG2(Depth And Infrared Fusion-Mixture of Gaussians 2)优化模型进行特征提取,并将提取后结果进行融合与饥饿度评估,最后给出量化饥饿程度分数。针对DAIF-MOG2优化模型,基于MOG2算法进行了改进,将单阶段单模态学习优化为分阶段多模态学习,提高了学习稳定性并弥补了单一模态的局限性,引入了形状特征约束与物理空间的验证约束,提升了复杂环境下整体检测性能与鲁棒性。实验结果表明,提出的多模态融合模型鲈鱼摄食强度量化判定方法,准确率达到94.2%,相较于原始MOG2模型,综合性能提升51.6%,能够快速实现鱼类饥饿程度判断,有效利用多模态信息,确保实际养殖场景下鲈鱼投喂的及时性与准确性,减少饲料浪费情况。
文摘目的探讨视神经炎缓解期发生抗N-甲基-D-天冬氨酸受体(N-methyl-D-aspartate-receptor,NMDAR)脑炎的临床特征。方法回顾性分析视神经炎缓解期出现抗NMDAR脑炎患者1例,并结合已发表的国内外文献进行复习。结果患者28岁女性,因“发作性意识不清、四肢抽搐伴幻听2 h 40 min”就诊,既往视神经炎激素冲击治疗减量过程中出现“癫痫样发作”,住院期间再次癫痫发作。行头颅磁共振成像示边缘叶脑炎并脑膜炎;血清、脑脊液检查抗NMDAR1抗体阳性。诊断为“视神经炎缓解期抗NMDAR脑炎”,经激素治疗后症状好转,1年后随访未见复发。结论视神经炎患者出现癫痫症状时,建议行自身免疫性脑炎相关抗体检测,尽早明确诊断及治疗。
