During the production of nitrile rubber, significant amounts of nitrogen in the form of ammonium are generated in the wastewater. The discharge of this high-nitrogen wastewater can lead to serious environmental issues...During the production of nitrile rubber, significant amounts of nitrogen in the form of ammonium are generated in the wastewater. The discharge of this high-nitrogen wastewater can lead to serious environmental issues, including eutrophication, disruption of aquatic ecosystems, and groundwater contamination. To mitigate these impacts, this research explored the bioremediation capabilities of the macroalgae Ulva lactuca (Chlorophyta) for removing nitrogen from nitrile rubber production wastewater. The study employed single-phase and Michaelis-Menten decay models based on ammonium consumption, using various dilutions of wastewater to identify the optimal concentration for treatment. The physiological state of the macroalgae was monitored by measuring the photosynthetic capacity and specific growth rate during the experiments. In the presence of U. lactuca, ammonium concentrations decreased in all treatment groups, confirming that the ammonium kinetics conformed to both applied models. Our results show that U. lactuca effectively reduces ammonium concentrations, with an approximate removal rate of 0.020 µM·g−1·min−1 across different wastewater concentrations (70%, 80%, 90%, and 100%). Notably, the treatments with 70%, 80%, and 90% wastewater strength achieved about 67% reduction in ammonium, demonstrating the alga’s capacity to treat high-nitrogen wastewater. The photosynthetic performance of U. lactuca initially declined in control conditions but stabilized across all treatments, highlighting its adaptability. The kinetic analysis using the Michaelis-Menten model indicated a Vmax of 1342 μM·g−1·DMh−1, suggesting a robust capacity for ammonium uptake when fully saturated. Our study underscores the potential of Ulva lactuca as a cost-effective and efficient agent for wastewater bioremediation, particularly in settings with high nitrogen loads.展开更多
In this study, based on the simulated discharge results of chemical disinfectants, hypocotyl germination concentration gradient pre-test and concentration gradient determination experiment were set up respectively. La...In this study, based on the simulated discharge results of chemical disinfectants, hypocotyl germination concentration gradient pre-test and concentration gradient determination experiment were set up respectively. Laboratory cultivation was conducted to compare and analyze the root germination and germination indexes, three mangrove hypocotyls of Kandelia candel (Linn.) Druce, Ceriopstagal C.B. Rob. and Bruguiera sexangula var. Rhynchopetalas’ efficiency of cumulative root germination, cumulative germination and the cumulative expansion of the second pair of leaves, one-way analysis of variance was used to obtain the tolerance threshold of three mangrove hypocotyls to strong chlorin disinfectant. The study determined that the by-products of strong chlorin disinfectant, the toxic threshold concentrations of Kandelia candel (Linn.) Druce, Ceriopstagal C.B. Rob. and Bruguiera sexangula var. rhynchopetala are close to 0.55 mg/L, 0.55 mg/L and 0.25 mg/L, respectively. This concentration range is lower than the average concentration of 1.183 mg/L of active chlorine emitted from strong chlorine concentrate during pond clearing in high-level shrimp ponds, indicating that transient emissions of strong chlorine concentrate during pond clearing can have a toxic effect on mangrove plants. The strength of tolerance of the embryonic axes of the three mangrove species to effective chlorine contamination was, Ceriopstagal C.B. Rob. stronger than Bruguiera sexangula var. rhynchopetala, and Kandelia candel (Linn.) Druce is the weakest.展开更多
One-class classification problem has become a popular problem in many fields, with a wide range of applications in anomaly detection, fault diagnosis, and face recognition. We investigate the one-class classification ...One-class classification problem has become a popular problem in many fields, with a wide range of applications in anomaly detection, fault diagnosis, and face recognition. We investigate the one-class classification problem for second-order tensor data. Traditional vector-based one-class classification methods such as one-class support vector machine (OCSVM) and least squares one-class support vector machine (LSOCSVM) have limitations when tensor is used as input data, so we propose a new tensor one-class classification method, LSOCSTM, which directly uses tensor as input data. On one hand, using tensor as input data not only enables to classify tensor data, but also for vector data, classifying it after high dimensionalizing it into tensor still improves the classification accuracy and overcomes the over-fitting problem. On the other hand, different from one-class support tensor machine (OCSTM), we use squared loss instead of the original loss function so that we solve a series of linear equations instead of quadratic programming problems. Therefore, we use the distance to the hyperplane as a metric for classification, and the proposed method is more accurate and faster compared to existing methods. The experimental results show the high efficiency of the proposed method compared with several state-of-the-art methods.展开更多
The emergence of mechanically one-way materials presents an exciting opportunity for materials science and engineering. These substances exhibit unique nonreciprocal mechanical responses, enabling them to selectively ...The emergence of mechanically one-way materials presents an exciting opportunity for materials science and engineering. These substances exhibit unique nonreciprocal mechanical responses, enabling them to selectively channel mechanical energy and facilitate directed sound propagation, controlled mass transport, and concentration of mechanical energy amidst random motion. This article explores the fundamentals of mechanically one-way materials, their potential applications across various industries, and the economic and environmental considerations related to their production and use.展开更多
基于多学科团队(multi-disciplinary team,MDT)参与的加速康复外科(enhanced recovery after surgery,ERAS)(ERAS-MDT)构架下建立的All in One(AO)病房,通过外科联合具有综合属性的内科协助外科治疗作为AO病房的主体病房,纳入在专业治...基于多学科团队(multi-disciplinary team,MDT)参与的加速康复外科(enhanced recovery after surgery,ERAS)(ERAS-MDT)构架下建立的All in One(AO)病房,通过外科联合具有综合属性的内科协助外科治疗作为AO病房的主体病房,纳入在专业治疗上需要进行深度介入干预的相应专业组成的辅助病房以及协助外科完成治疗工作的相关专业组成的支持治疗病房,组成综合性独立单元体,其目标是探索多学科协同促进外科患者围手术期加速康复的策略。通过在加速康复AO病房实施LEER模式工作流程(即“少痛”“早动”“早食”“安心”)来实现患者术后加速康复这一共同目标。通过AO病房的治疗,期望增加老年、危重症患者的手术率,减少术后并发症的发生率,缩短外科患者平均住院时间,加快外科病房周转,节约有限的医疗资源,并拓展ERAS的应用领域。从形式和内容上创新了MDT,不仅有利于医院通过内部资源整合为外科纾困解难,也为进一步探索和深化慢病管理和临床专业协同工作模式提供了一种有益借鉴。展开更多
目的总结“All in One”技术在“一站式”经导管主动脉瓣置换术联合经皮冠状动脉介入治疗(PCI)中应用的初步经验。方法连续收集2021年7月至2022年9月首都医科大学附属北京安贞医院心脏瓣膜病介入中心在“一站式”经导管主动脉瓣置换术联...目的总结“All in One”技术在“一站式”经导管主动脉瓣置换术联合经皮冠状动脉介入治疗(PCI)中应用的初步经验。方法连续收集2021年7月至2022年9月首都医科大学附属北京安贞医院心脏瓣膜病介入中心在“一站式”经导管主动脉瓣置换术联合PCI中应用“All in One”技术的患者27例进行回顾性分析,总结临床资料、影像学资料、手术操作、住院和出院随访期间主要不良心脑血管事件的发生情况。结果27例患者平均年龄(74.1±7.8)岁;男15例,女12例;平均美国胸外科医师协会评分(6.02±3.25)%;主动脉瓣重度狭窄22例,单纯主动脉瓣重度反流5例;三叶式主动脉瓣20例,二叶式主动脉瓣7例。术前平均跨主动脉瓣血流速度(4.2±1.2)m/s,跨主动脉瓣平均压差(52.1±13.3)mmHg。所有患者均置入药物洗脱支架,其中左主干病变4例,多支血管病变11例,平均置入支架数量(1.8±0.9)枚,应用冠状动脉斑块旋磨术1例。所有患者在PCI术后均置入自膨胀瓣膜,术中无死亡、心肌梗死、脑卒中、急诊转外科手术、血管并发症发生,1例患者行瓣中瓣手术,无中重度瓣周反流。住院期间无死亡、心肌梗死、脑卒中、血管并发症发生,1例患者行永久起搏器植入术。平均随访(7.8±3.7)个月,无死亡、脑卒中及肾功能恶化发生,3例患者因胸闷复查冠状动脉造影,均未发现明显冠状动脉狭窄。结论在“一站式”经导管主动脉瓣置换术联合PCI中应用“All in One”技术是安全可行的。展开更多
目的:总结Chimney支架技术联合All in One技术在经导管主动脉瓣置换术(TAVR)中应用的初步经验。方法:收集2021年7月至2022年7月首都医科大学附属北京安贞医院心脏瓣膜病介入中心在TAVR术中联合应用Chimney支架技术和All in One技术的10...目的:总结Chimney支架技术联合All in One技术在经导管主动脉瓣置换术(TAVR)中应用的初步经验。方法:收集2021年7月至2022年7月首都医科大学附属北京安贞医院心脏瓣膜病介入中心在TAVR术中联合应用Chimney支架技术和All in One技术的10例患者进行回顾性分析,总结临床资料、影像学资料、手术操作、住院和出院随访期间主要不良心脑血管事件的发生情况。结果:10例患者中男性4例,女性6例,平均年龄(76.2±3.9)岁,三叶式主动脉瓣7例,二叶式主动脉瓣3例,术前CT评估均有冠状动脉阻塞危险因素,并且术中球囊预扩张提示冠状动脉阻塞。所有患者均使用一枚药物洗脱支架完成Chimney支架技术,冠状动脉支架置入有8例位于左主干,2例位于右冠状动脉,支架平均直径(3.7±0.3)mm,平均长度(20.6±2.4)mm,在住院及平均随访(7.8±3.7)个月期间,无死亡、心肌梗死、脑卒中等主要不良心脑血管事件发生。结论:TAVR术中Chimney支架技术联合All in One技术安全可行。展开更多
基金国家自然科学基金面上项目“基于高压人群身心健康的工作环境绿色空间体系研究”(编号51978364)丰田跨学科专项2022“未来城市跨学科研究关键技术集成与示范”(Action Plan for Integrated Demonstration of Key Technologies for Interdisciplinary Research on Future Cities)共同资助。
文摘During the production of nitrile rubber, significant amounts of nitrogen in the form of ammonium are generated in the wastewater. The discharge of this high-nitrogen wastewater can lead to serious environmental issues, including eutrophication, disruption of aquatic ecosystems, and groundwater contamination. To mitigate these impacts, this research explored the bioremediation capabilities of the macroalgae Ulva lactuca (Chlorophyta) for removing nitrogen from nitrile rubber production wastewater. The study employed single-phase and Michaelis-Menten decay models based on ammonium consumption, using various dilutions of wastewater to identify the optimal concentration for treatment. The physiological state of the macroalgae was monitored by measuring the photosynthetic capacity and specific growth rate during the experiments. In the presence of U. lactuca, ammonium concentrations decreased in all treatment groups, confirming that the ammonium kinetics conformed to both applied models. Our results show that U. lactuca effectively reduces ammonium concentrations, with an approximate removal rate of 0.020 µM·g−1·min−1 across different wastewater concentrations (70%, 80%, 90%, and 100%). Notably, the treatments with 70%, 80%, and 90% wastewater strength achieved about 67% reduction in ammonium, demonstrating the alga’s capacity to treat high-nitrogen wastewater. The photosynthetic performance of U. lactuca initially declined in control conditions but stabilized across all treatments, highlighting its adaptability. The kinetic analysis using the Michaelis-Menten model indicated a Vmax of 1342 μM·g−1·DMh−1, suggesting a robust capacity for ammonium uptake when fully saturated. Our study underscores the potential of Ulva lactuca as a cost-effective and efficient agent for wastewater bioremediation, particularly in settings with high nitrogen loads.
文摘In this study, based on the simulated discharge results of chemical disinfectants, hypocotyl germination concentration gradient pre-test and concentration gradient determination experiment were set up respectively. Laboratory cultivation was conducted to compare and analyze the root germination and germination indexes, three mangrove hypocotyls of Kandelia candel (Linn.) Druce, Ceriopstagal C.B. Rob. and Bruguiera sexangula var. Rhynchopetalas’ efficiency of cumulative root germination, cumulative germination and the cumulative expansion of the second pair of leaves, one-way analysis of variance was used to obtain the tolerance threshold of three mangrove hypocotyls to strong chlorin disinfectant. The study determined that the by-products of strong chlorin disinfectant, the toxic threshold concentrations of Kandelia candel (Linn.) Druce, Ceriopstagal C.B. Rob. and Bruguiera sexangula var. rhynchopetala are close to 0.55 mg/L, 0.55 mg/L and 0.25 mg/L, respectively. This concentration range is lower than the average concentration of 1.183 mg/L of active chlorine emitted from strong chlorine concentrate during pond clearing in high-level shrimp ponds, indicating that transient emissions of strong chlorine concentrate during pond clearing can have a toxic effect on mangrove plants. The strength of tolerance of the embryonic axes of the three mangrove species to effective chlorine contamination was, Ceriopstagal C.B. Rob. stronger than Bruguiera sexangula var. rhynchopetala, and Kandelia candel (Linn.) Druce is the weakest.
文摘One-class classification problem has become a popular problem in many fields, with a wide range of applications in anomaly detection, fault diagnosis, and face recognition. We investigate the one-class classification problem for second-order tensor data. Traditional vector-based one-class classification methods such as one-class support vector machine (OCSVM) and least squares one-class support vector machine (LSOCSVM) have limitations when tensor is used as input data, so we propose a new tensor one-class classification method, LSOCSTM, which directly uses tensor as input data. On one hand, using tensor as input data not only enables to classify tensor data, but also for vector data, classifying it after high dimensionalizing it into tensor still improves the classification accuracy and overcomes the over-fitting problem. On the other hand, different from one-class support tensor machine (OCSTM), we use squared loss instead of the original loss function so that we solve a series of linear equations instead of quadratic programming problems. Therefore, we use the distance to the hyperplane as a metric for classification, and the proposed method is more accurate and faster compared to existing methods. The experimental results show the high efficiency of the proposed method compared with several state-of-the-art methods.
文摘The emergence of mechanically one-way materials presents an exciting opportunity for materials science and engineering. These substances exhibit unique nonreciprocal mechanical responses, enabling them to selectively channel mechanical energy and facilitate directed sound propagation, controlled mass transport, and concentration of mechanical energy amidst random motion. This article explores the fundamentals of mechanically one-way materials, their potential applications across various industries, and the economic and environmental considerations related to their production and use.
文摘基于多学科团队(multi-disciplinary team,MDT)参与的加速康复外科(enhanced recovery after surgery,ERAS)(ERAS-MDT)构架下建立的All in One(AO)病房,通过外科联合具有综合属性的内科协助外科治疗作为AO病房的主体病房,纳入在专业治疗上需要进行深度介入干预的相应专业组成的辅助病房以及协助外科完成治疗工作的相关专业组成的支持治疗病房,组成综合性独立单元体,其目标是探索多学科协同促进外科患者围手术期加速康复的策略。通过在加速康复AO病房实施LEER模式工作流程(即“少痛”“早动”“早食”“安心”)来实现患者术后加速康复这一共同目标。通过AO病房的治疗,期望增加老年、危重症患者的手术率,减少术后并发症的发生率,缩短外科患者平均住院时间,加快外科病房周转,节约有限的医疗资源,并拓展ERAS的应用领域。从形式和内容上创新了MDT,不仅有利于医院通过内部资源整合为外科纾困解难,也为进一步探索和深化慢病管理和临床专业协同工作模式提供了一种有益借鉴。
文摘目的总结“All in One”技术在“一站式”经导管主动脉瓣置换术联合经皮冠状动脉介入治疗(PCI)中应用的初步经验。方法连续收集2021年7月至2022年9月首都医科大学附属北京安贞医院心脏瓣膜病介入中心在“一站式”经导管主动脉瓣置换术联合PCI中应用“All in One”技术的患者27例进行回顾性分析,总结临床资料、影像学资料、手术操作、住院和出院随访期间主要不良心脑血管事件的发生情况。结果27例患者平均年龄(74.1±7.8)岁;男15例,女12例;平均美国胸外科医师协会评分(6.02±3.25)%;主动脉瓣重度狭窄22例,单纯主动脉瓣重度反流5例;三叶式主动脉瓣20例,二叶式主动脉瓣7例。术前平均跨主动脉瓣血流速度(4.2±1.2)m/s,跨主动脉瓣平均压差(52.1±13.3)mmHg。所有患者均置入药物洗脱支架,其中左主干病变4例,多支血管病变11例,平均置入支架数量(1.8±0.9)枚,应用冠状动脉斑块旋磨术1例。所有患者在PCI术后均置入自膨胀瓣膜,术中无死亡、心肌梗死、脑卒中、急诊转外科手术、血管并发症发生,1例患者行瓣中瓣手术,无中重度瓣周反流。住院期间无死亡、心肌梗死、脑卒中、血管并发症发生,1例患者行永久起搏器植入术。平均随访(7.8±3.7)个月,无死亡、脑卒中及肾功能恶化发生,3例患者因胸闷复查冠状动脉造影,均未发现明显冠状动脉狭窄。结论在“一站式”经导管主动脉瓣置换术联合PCI中应用“All in One”技术是安全可行的。
文摘目的:总结Chimney支架技术联合All in One技术在经导管主动脉瓣置换术(TAVR)中应用的初步经验。方法:收集2021年7月至2022年7月首都医科大学附属北京安贞医院心脏瓣膜病介入中心在TAVR术中联合应用Chimney支架技术和All in One技术的10例患者进行回顾性分析,总结临床资料、影像学资料、手术操作、住院和出院随访期间主要不良心脑血管事件的发生情况。结果:10例患者中男性4例,女性6例,平均年龄(76.2±3.9)岁,三叶式主动脉瓣7例,二叶式主动脉瓣3例,术前CT评估均有冠状动脉阻塞危险因素,并且术中球囊预扩张提示冠状动脉阻塞。所有患者均使用一枚药物洗脱支架完成Chimney支架技术,冠状动脉支架置入有8例位于左主干,2例位于右冠状动脉,支架平均直径(3.7±0.3)mm,平均长度(20.6±2.4)mm,在住院及平均随访(7.8±3.7)个月期间,无死亡、心肌梗死、脑卒中等主要不良心脑血管事件发生。结论:TAVR术中Chimney支架技术联合All in One技术安全可行。
