语境在口译理解、信息推理与预测、译语输出等方面都发挥着重要作用。数字化资源在口译教学中已经得到广泛应用,但语境缺失是其中不容忽视的问题。文章以技术手段重构资源语境为着眼点,以IVY(Interpreting in Virtual Reality,虚拟现实...语境在口译理解、信息推理与预测、译语输出等方面都发挥着重要作用。数字化资源在口译教学中已经得到广泛应用,但语境缺失是其中不容忽视的问题。文章以技术手段重构资源语境为着眼点,以IVY(Interpreting in Virtual Reality,虚拟现实口译)资源库为例,从环境语境、角色语境、认知语境、任务语境等方面探讨了数字化口译教学资源的语境重构方法,以期对提升数字化资源的应用价值、增强口译教学的效果有所助益。展开更多
Plant peroxidase extracted from Coccinia grandis Lin. （Ivy gourd） was purified from crude extract by ammonium sulfate precipitation, ion-exchange chromatography, and size exclusion chromatography. The purified enzym...Plant peroxidase extracted from Coccinia grandis Lin. （Ivy gourd） was purified from crude extract by ammonium sulfate precipitation, ion-exchange chromatography, and size exclusion chromatography. The purified enzyme preparation exhibited a specific activity of 6106.63 p.mol.minl.mg protein1, while purification fold and yield were 17.45 and 34.70%, respectively. The purified peroxidase was homogenous as judged by native and sodium dodecyl sulfate （SDS） polyacrylamide gel electrophoresis. The molecular weight as determined by gel filtration and SDS-polyacrylamide gel electrophoresis was 45 kD, which suggested that the purified peroxidase contained only one subunit. The apparent Km and Vmax values of the enzyme against phenol were 93 p.M and 561 μmol.min^-1.mg protein^-1, respectively. The temperature and pH optimum for purified peroxidase were 45℃ and pH 6.0, respective. However, it was stable at 30-60℃ and pH 4.0-8.0. The presence of metal ions such as Cu2＋ and Ca2＋ enhanced peroxidase activity. On the other hand, Cr3＋ and Hg2＋ strongly inhibited the enzyme activity at 500 p.M. Sodium dodecyl sulfate reduced a half of peroxidase activity at approximately 3 mM. Ivy gourd was stability in the presence of each urea concentrations. The affinity of the enzyme with different substrates showed as the highest relative activities on gallic acid followed by catechin, ascorbic acid and caffeic acid, respectively.展开更多
Recently,the press conference was held at Shanghai Time Square of Warner Hotel.Mrs Karin Malmstrom, Director of Cotton Council International, China was present at the conference and
With the rapid development of e-commerce,the scale and complexity of logistics operations continue to increase,and the claims risks caused by abnormal events such as cargo damage,delays,and loss during transportation ...With the rapid development of e-commerce,the scale and complexity of logistics operations continue to increase,and the claims risks caused by abnormal events such as cargo damage,delays,and loss during transportation are becoming increasingly prominent.The traditional claims processing model,primarily based on manual review,is no longer adequate for the high-frequency,large-scale business demands in terms of processing efficiency,decision consistency,and cost control.There is an urgent need to introduce intelligent methods to achieve accurate identification and hierarchical management of claims risks.Addressing the challenges of diverse feature dimensions,highly imbalanced category distribution,and difficulty in distinguishing different risk types in logistics claims data,this paper proposes a Random Forest Logistics Claims Risk Classification Model(IVY-RF)based on the IVY growth optimization algorithm.This method uses a random forest as the basic classifier,fully leveraging its advantages in nonlinear relationship modeling and feature interaction capture.It also introduces the IVY metaheuristic optimization algorithm to adaptively optimize the model’s key hyperparameters globally.Experimental results based on real-world logistics claims datasets demonstrate that the IVY-RF model significantly outperforms comparable models such as IVY-LightGBM and IVY-XGBoost in core evaluation metrics,including macro-average F1 score,weighted precision,and weighted recall,achieving a better performance balance between the majority and minority high-risk categories.The findings indicate that the proposed IVYRF model exhibits significant advantages in prediction accuracy,stability,and engineering feasibility,providing reliable technical support for logistics companies to conduct intelligent identification and refined management of claims risks.展开更多
本文从科研产出数量、质量和影响力这三个维度,基于1981-2013年Web of Science论文收录信息,以非C9的"985工程"大学以及非"985工程"的"211工程"大学为国内参照样本,以美国IVY大学和澳大利亚Go8大学为国...本文从科研产出数量、质量和影响力这三个维度,基于1981-2013年Web of Science论文收录信息,以非C9的"985工程"大学以及非"985工程"的"211工程"大学为国内参照样本,以美国IVY大学和澳大利亚Go8大学为国际一流大学参照样本,就我国C9大学基础科研生产力进行了比较研究。整体分析发现,我国C9大学在基础科研生产力的三个维度均遥遥领先于国内其他研究型大学;与IVY大学和Go8大学相比,尽管C9大学呈现出强劲的追赶态势,但在基础科研产出质量与影响力方面差距仍然明显,建设世界一流大学的任务相当艰巨。分学科分析发现,C9大学22个学科基础科研生产力状况整体呈现提升趋势,但与IVY大学存在很大差距。计算机科学、环境科学/生态学、空间科学、物理学等服务于国家科技创新、国家发展转型和重大战略需求的学科及其交叉学科,C9大学的学科影响力长期落后于世界平均水平。此外,相对于IVY大学和Go8大学在优势学科影响力上的稳定状态,C9大学优势学科影响力的波动较大,在未来学科建设工作中,需特别重视优势学科的保持和持续发展。展开更多
文摘语境在口译理解、信息推理与预测、译语输出等方面都发挥着重要作用。数字化资源在口译教学中已经得到广泛应用,但语境缺失是其中不容忽视的问题。文章以技术手段重构资源语境为着眼点,以IVY(Interpreting in Virtual Reality,虚拟现实口译)资源库为例,从环境语境、角色语境、认知语境、任务语境等方面探讨了数字化口译教学资源的语境重构方法,以期对提升数字化资源的应用价值、增强口译教学的效果有所助益。
文摘Plant peroxidase extracted from Coccinia grandis Lin. （Ivy gourd） was purified from crude extract by ammonium sulfate precipitation, ion-exchange chromatography, and size exclusion chromatography. The purified enzyme preparation exhibited a specific activity of 6106.63 p.mol.minl.mg protein1, while purification fold and yield were 17.45 and 34.70%, respectively. The purified peroxidase was homogenous as judged by native and sodium dodecyl sulfate （SDS） polyacrylamide gel electrophoresis. The molecular weight as determined by gel filtration and SDS-polyacrylamide gel electrophoresis was 45 kD, which suggested that the purified peroxidase contained only one subunit. The apparent Km and Vmax values of the enzyme against phenol were 93 p.M and 561 μmol.min^-1.mg protein^-1, respectively. The temperature and pH optimum for purified peroxidase were 45℃ and pH 6.0, respective. However, it was stable at 30-60℃ and pH 4.0-8.0. The presence of metal ions such as Cu2＋ and Ca2＋ enhanced peroxidase activity. On the other hand, Cr3＋ and Hg2＋ strongly inhibited the enzyme activity at 500 p.M. Sodium dodecyl sulfate reduced a half of peroxidase activity at approximately 3 mM. Ivy gourd was stability in the presence of each urea concentrations. The affinity of the enzyme with different substrates showed as the highest relative activities on gallic acid followed by catechin, ascorbic acid and caffeic acid, respectively.
文摘Recently,the press conference was held at Shanghai Time Square of Warner Hotel.Mrs Karin Malmstrom, Director of Cotton Council International, China was present at the conference and
文摘With the rapid development of e-commerce,the scale and complexity of logistics operations continue to increase,and the claims risks caused by abnormal events such as cargo damage,delays,and loss during transportation are becoming increasingly prominent.The traditional claims processing model,primarily based on manual review,is no longer adequate for the high-frequency,large-scale business demands in terms of processing efficiency,decision consistency,and cost control.There is an urgent need to introduce intelligent methods to achieve accurate identification and hierarchical management of claims risks.Addressing the challenges of diverse feature dimensions,highly imbalanced category distribution,and difficulty in distinguishing different risk types in logistics claims data,this paper proposes a Random Forest Logistics Claims Risk Classification Model(IVY-RF)based on the IVY growth optimization algorithm.This method uses a random forest as the basic classifier,fully leveraging its advantages in nonlinear relationship modeling and feature interaction capture.It also introduces the IVY metaheuristic optimization algorithm to adaptively optimize the model’s key hyperparameters globally.Experimental results based on real-world logistics claims datasets demonstrate that the IVY-RF model significantly outperforms comparable models such as IVY-LightGBM and IVY-XGBoost in core evaluation metrics,including macro-average F1 score,weighted precision,and weighted recall,achieving a better performance balance between the majority and minority high-risk categories.The findings indicate that the proposed IVYRF model exhibits significant advantages in prediction accuracy,stability,and engineering feasibility,providing reliable technical support for logistics companies to conduct intelligent identification and refined management of claims risks.
文摘本文从科研产出数量、质量和影响力这三个维度,基于1981-2013年Web of Science论文收录信息,以非C9的"985工程"大学以及非"985工程"的"211工程"大学为国内参照样本,以美国IVY大学和澳大利亚Go8大学为国际一流大学参照样本,就我国C9大学基础科研生产力进行了比较研究。整体分析发现,我国C9大学在基础科研生产力的三个维度均遥遥领先于国内其他研究型大学;与IVY大学和Go8大学相比,尽管C9大学呈现出强劲的追赶态势,但在基础科研产出质量与影响力方面差距仍然明显,建设世界一流大学的任务相当艰巨。分学科分析发现,C9大学22个学科基础科研生产力状况整体呈现提升趋势,但与IVY大学存在很大差距。计算机科学、环境科学/生态学、空间科学、物理学等服务于国家科技创新、国家发展转型和重大战略需求的学科及其交叉学科,C9大学的学科影响力长期落后于世界平均水平。此外,相对于IVY大学和Go8大学在优势学科影响力上的稳定状态,C9大学优势学科影响力的波动较大,在未来学科建设工作中,需特别重视优势学科的保持和持续发展。
