九钼锰酸铵的合成和动力学测定

以(NH4)6Mo7O24·4H2O,MnSO4·H2O和(NH4)2S2O8为原料合成(NH4)6[MnMo9O32]·8H2O(八水合九钼锰酸铵),用紫外可见电子光谱分析法对该化合物进行表征;以490 nm为测定波长,测定浓度为8×10-4mol/L的(NH4)6[MnMo9O32]溶液与浓度分别为4×10-3、6×10-3、8×10-3、12×10-3 mol·L-1的酒石酸溶液进行氧化还原反应时的吸光度.以不同浓度的In(A-A∞)对T作图呈线型关系,确定氧化剂反应级数为一级反应.以不同浓度的Kobs对还原剂浓度作图,其图形也呈直线,确定还原剂反应级数也为一.     

现场条件下建筑结构的热传递衰减倍数与延迟时间

介绍了2001年夏天对南京某一建筑围护结构的衰减倍数与延迟时间进行现场测试的情况.根据房间的内表面吸热频率响应、内表面温度、室内气温和室外综合温度,可计算出建筑围护结构的衰减倍数与延迟时间.实验结果表明,对于建筑围护结构热传导的衰减倍数与延迟时间,0阶和1阶的现场测试值与理论计算值比较吻合,2阶值则相差很大,因此很难精确测试出2阶值.然而,现场条件下基于1阶以内来分析建筑围护结构的衰减倍数与延迟时间仍然是可行的,因为在计算1阶时建筑围护结构的衰减倍数已达到20,完全可以满足工程要求.     

Perceived conversational ability of task-based chatbots – Which conversational elements influence the success of text-based dialogues?

The use of text-based chatbots offering individual support to customers has increased steadily in recent years. However, thus far, research has focused on comparing text-based chatbots with either each other or with humans, whilst the investigation of task-based dialogues has been scarce. This paper aims to identify the characteristics of dialogues – that is, conversational elements – that lead to a successful task-based conversation. For this purpose, the chatbot, KIM, by MAGGI Kochstudio was used. It was designed to help customers find a recipe tailored to their individual needs. In order to investigate which conversational elements contribute to successful communication between the user and the chatbot KIM, a usability study collecting 123 unstructured dialogues and a scenario-based experiment using four dialogues with 627 respondents was conducted. The quantitative analysis demonstrates that task completion is characterized by a higher perception of the chatbot’s conversational ability and user satisfaction. The chatbot should propose correct recipe suggestions following a short dialogue, without the user needing to provide too much input. Based on these findings, we recommended equipping the skillset of task-based chatbots with elements that will complement their assistive qualities – for example, improved use of standard phrases, and reactions to similar domains and non-requests. Gender-specific differences in task completion should be considered.