Reaction pathway of benzonitrile formation during toluene ammoxidation on vanadium phosphate catalysts

The reaction pathway of the ammoxidation of toluene on (VO)₂P₂O₇ used as catalyst and the interaction of potential intermediates with the pyrophosphate were studied by spectroscopic techniques (FTIR, EPR), temperature-programmed chemisorptions/ reactions (TPD, TPRS) and transient studies such as the temporal analysis of products (TAP) technique. NH₃ is chemisorbed on the catalyst surface, forming three different species, i.e., NH ₄ ⁺ ions located on BrØnsted sites, coordinatively bound NH₃ on Lewis sites and NH ₂ ^– groups, presumably P-NH₂. Toluene that is probably adsorbed on Lewis sites reacts in a first step to a benzyl radical. A subsequent partial oxidation by interaction of V^IV=O groups generates a V...O=CH-C₆H₅ surface structure. This benzaldehyde-like surface species reacts with adsorbed NH₃ according to a Langmuir-Hinshelwood mechanism. TAP experiments on ammonium-containing vanadium phosphates revealed that NH ₄ ⁺ ions could act as potential N-insertion species. No formation of benzylamine as well as the generation of V=NH surface groups as possible intermediates or N-insertion sites were observed.     

四川磷矿制取饲料级脱氟磷酸三钙工艺研究

采用云南化工研究院开发的工业性试验成果，对四川磷矿进行了制取饲料级脱氟磷酸三钙工艺评价试验研究。结果表明：工艺路线、工艺条件及脱氟剂(AAA)均能满足要求，磷的转化率大于93％，脱氟率大于95％，产品质量指标符合企业标准(Q／YXSJ01—1997)。     

两种锅炉给水除氧技术的比较

介绍了两种锅炉给水除氧技术 ,并从装置结构、流程、技术特点、消耗费用等方面进行了进行了对比     

Dynamic Mechanical Properties and Adhesive Joint Strengths of Emulsion Polymers Produced by Power Feed Technique. III. Adhesive Joint Strengths of Grafted Power Feed Copolymer

Power feed copolymers were synthesized using styrene and n-butyl acrylate through non-uniform feeding emulsion polymerization. Poly(vinyl alcohol) (PVA) was used as a protective colloid, onto which vinyl monomers were grafted. Power feed copolymer had a very broad glass transition temperature compared with random copolymer, even if grafting and/or crosslinking were introduced to the system. This tendency was almost the same as the non-grafted power feed copolymer where only low molecular weight surfactant was used.

Adhesive joint strengths of power feed copolymers were evaluated compared with random copolymers. In the case of usual linear power feed copolymer, the adhesive joint strengths were not higher than those of random copolymer, which was considered to be due to the lower film strengths of the power feed copolymer. Power feed copolymer having grafting showed slightly higher adhesive joint strengths over a wide range of temperatures than random copolymer. When crosslinking was introduced to the system, power feed copolymer showed much higher adhesive joint strengths over a wide temperature range.     

高浊度微污染黄河水的处理工艺

在混凝处理中采用5%的清水回流与PAC+HPAM联合投加相结合的方法,形成高浊度微污染黄河水的处理工艺。应用该技术对高浊度水进行生产性试验,除浊效果与传统工艺相比约提高40%～50%,对有机物和NH3-N的去除率也有所提高,同时可使出水的致突变活性呈阴性。     

未来的新闻生产研究分析

通过对互联网20年历史进行回顾得出,技术与受众是影响媒体行业的新兴力量,分析受众接收信息的特点,对未来媒介组织和新闻生产模式的发展方向进行预测,我国目前尚未形成理性的网络舆论,网络舆论是事件主导而非话题主导。     

新闻传播中动画语言的应用

随着数字时代的到来,数字技术不仅使动画在传统影视和游戏领域如虎添翼,其特有的仿真能力使得动画逐渐在电视新闻与网络新闻中也频繁运用,不仅为动画在新闻传播领域开辟了新的应用范围,也打通了各领域间的界限,一方面成为动画本身多元化的拓展,另一方面也为新闻传播方式的多样化提供了一种新的可能。文章旨在梳理动画在新闻传播中的历史沿革,研究数字时代下动画在新闻传播中的应用,并在此基础上思考动画在新闻传播中亟待解决的诸多问题。     

橡胶模型制品胶坯精密预成型机

介绍了橡胶工业橡制品生产中胶坯制备的三种方法，其中详细介绍了精密预成型机制备胶坯。以上海德仁橡塑机械有限公司物精密预成型机为例，从结构，性能及工艺参数等方面进行了分析，说明精密预成型机是批量生产橡胶模型制品的一种得力辅助设备。     

纳米ZSM-5沸石上丁烯芳构化反应

用小型固定床加压反应器研究了液化石油气（C4 LPG）中的丁烯在纳米ZSM-5型催化剂DLG-1上的低温芳构化反应，重点考察了原料中二烯烃和碱性氮杂质，以及反应温度、压力和C4 LPG进料重量空速（WHSV LPG）条件对催化剂芳构化反应活性及稳定性的影响。结果表明：原料中的二烯烃和碱性氮杂质都能加速催化剂失活，其中碱性氮的失活作用比二烯烃大。反应温度、压力和进料重量空速都对催化剂性能有显著影响，最佳反应条件为450℃、2. 0 MPa和WHSV LPG=0. 83 h-1。反应温度、压力和进料空速过高都会导致催化剂积炭失活速度加快。     

A small samples training framework for deep Learning-based automatic information extraction: Case study of construction accident news reports analysis

Knowledge management is crucial for construction safety management. Widely collected and well-organized safety-related documents are recognized to be significant in raising the workers' security awareness and then to prevent hazards and accidents. To improve document processing efficiency, automatic information extraction plays an important role. However, currently, automatic information extraction modeling requires large scale training datasets. It is a big challenge for the engineering industry, especially for the fields which heavily rely on the experts’ knowledge. Limited data sources, and high time and labor costs make it not practical to establish a large-scale dataset. This work proposed a natural language data augmentation-based small samples training framework for automatic information extraction modeling. With the designed cross combination-based text data augmentation algorithm, the deep neural network can be employed to build up automatic information extraction models without large-scale raw data and manual annotations. Characters semantic coding is employed to avoid word segmentation and make sure that the framework can be utilized in different writing language systems. The BiLSTM-CRF model is adopted as the detection core to conduct character classification. Through a case study of two independent accident news report datasets analysis, the proposed framework has been validated. A reliable and robust automatic information extraction model can be established, even though with small samples training.