Wear Resistance of CO_2 Corrosion Product Scale Formed at High Temperature

To investigate the correlation between structure characteristics and wear resistance of CO2 corrosion product scales at high temperature and high pressure, an autoclave was used to prepare CO2 corrosion product scales on N80 steel in carbon dioxide corrosion environment. The correlation between wear resistance of the scales and many other factors, such as temperature, pressure, morphology, structure, velocity of fluid medium, sand grain size, and so on, was comparatively analyzed by a self assembled wear device, and the scale morphologies before or after being worn were observed by scanning electron microscope （SEM）. And then the surface grain size and thickness of scale were measured. The results showed that the cross-section of the corrosion scale was of a double-layer structure, the outer layer of which was composed of regular crystals, whereas the inner layer was a thin scale of fine grains. The outer grain size and thickness of scale varied with temperature, and the initial wear loss was consistent with the surface grain size; at the same time, the total wear loss corresponded to the thickness of scale. Compared to wear resist- ance in different depths of the scale, it was found that the structure of scale was a double-layer structure in cross-section, and the wear resistance of inner layer was better than that of the outer layer; the closer the scale to the matrix, the greater was the wear resistance of scale; and the larger the size or the higher the rotary speed of solid grain in multiphase flowing medium, the more was the wear loss of scale.

Technical efficiency and its determinants in China's hog production

China＇s hog production is undergoing a great transformation due to the soaring demand and changing raising system. Regarding the essential role of pork in Chinese diet, a systematic analysis on the productivity and efficiency of hog production can provide significant implications for policy makers. This paper investigates the productivity and efficiency of hog production and the determinants of technical efficiency in China using a household level panel data（2004–2010）. A stochastic frontier translog production function with scaling property in inefficiency term is adopted for hog production analysis, and the determinants of technical efficiency are incorporated in a one-step estimation using maximum likelihood estimation. Our results show that the average technical efficiency of hog production in China is 0.5914. More importantly, we find that specialized farmers have higher technical efficiency than others, and technical efficiency in the eastern region is higher than that in Central and West China.

Deep Neural Network Based Spam Email Classification Using Attention Mechanisms

Spam emails pose a threat to individuals. The proliferation of spam emails daily has rendered traditional machine learning and deep learning methods for screening them ineffective and inefficient. In our research, we employ deep neural networks like RNN, LSTM, and GRU, incorporating attention mechanisms such as Bahdanua, scaled dot product (SDP), and Luong scaled dot product self-attention for spam email filtering. We evaluate our approach on various datasets, including Trec spam, Enron spam emails, SMS spam collections, and the Ling spam dataset, which constitutes a substantial custom dataset. All these datasets are publicly available. For the Enron dataset, we attain an accuracy of 99.97% using LSTM with SDP self-attention. Our custom dataset exhibits the highest accuracy of 99.01% when employing GRU with SDP self-attention. The SMS spam collection dataset yields a peak accuracy of 99.61% with LSTM and SDP attention. Using the GRU (Gated Recurrent Unit) alongside Luong and SDP (Structured Self-Attention) attention mechanisms, the peak accuracy of 99.89% in the Ling spam dataset. For the Trec spam dataset, the most accurate results are achieved using Luong attention LSTM, with an accuracy rate of 99.01%. Our performance analyses consistently indicate that employing the scaled dot product attention mechanism in conjunction with gated recurrent neural networks (GRU) delivers the most effective results. In summary, our research underscores the efficacy of employing advanced deep learning techniques and attention mechanisms for spam email filtering, with remarkable accuracy across multiple datasets. This approach presents a promising solution to the ever-growing problem of spam emails.

Mechanism of protective film formation during CO_2 corrosion of X65 pipeline steel

Electrochemical techniques, X-ray diffraction （XRD）, and scanning electron microscopy （SEM） were applied to study the corrosion behaviors of X65 steel in static solution with carbon dioxide （CO2） at 65℃. The results show that iron carbonate （FeCO3） deposits on the steel surface as a corrosion product scale. This iron carbonate scale acts as a barrier to CO2 corrosion, and can reduce the general corrosion rate. The protection ability of the scale is closely related to the scale morphological characteristics.

Pressure control strategies in biosafety level-3 large-scale production facilities for animal vaccines

This paper summarized the pressure control methods used in 16 large-scale production facilities in China for vaccines against foot-and-mouth disease virus and highly pathogenic avian influenza virus.We presented the pressure control modes,with their characteristics,of the"constant supply"mode-variable exhaust air volume system and the"constant supply"mode-constant exhaust air volume system.This paper analyzed the influence of common problems(e.g.,pressure reference zero drift,positive pressure reversal and failure to restore the original normal working conditions after working condition conversion)on system stability during pressure control in BSL-3 large-scale production facilities and their solutions,providing references for the design and implementation of similar construction projects under the new situation.

Anticorrosion performance of the coating/metal system by electrochemical impedance spectra

In order to investigate the anticorrosion performance of the organic coating/metal system, electrochemical impedance spectra （EIS） were measured in the 3.5wt% NaCl solution, the chemical component and the formation of corrosion products scale were analyzed by laser Raman microspectroscopy, and the pattern of the organic coating/metal system was observed by scanning electron microscopy （SEM）. The characteristics and the delamination process of the organic coating/metal system were investigated systematically, and the emphases were on the transportation of the corrosive medium and the changes of the coating/metal interface. The results show that the impedance decreases at the initial immersion, then increases at the middle-immersion, and again decreases at last, which is related to the corrosion products scale. The concentration of Cl in the coating, which destroys the corrosion products scale, increases with the immersion time.

Study on Propagation of Chicken Infectious Bursal Disease Virus on Vero Cells Using Microcarriers in Fermentor

It was in flask optimization tests proved that 2% serum, pH 7.0, 5:10 000 inoculation concentration of infectious bursal disease virus (IBDV) and 108 hours cultivation for IBDV harvest after its inoculation were the optimal conditions when IBDV was propagated on Vero cells. 250 ml self-made spinner bottle and 5 L stirring fermentor tests proved that IBDV could maintain higher liters for a long time and the highest liters of IBDV in a spinner bottle and a fermentor were 8.875 and 8.58 ( - lgTCID50/0.1 ml) respectively when IBDV was proliferated on Vero cells using 2 g/L microcarriers in a spinner bottle and a fermentor and was cultivated under the optimum conditions obtained from flask tests after Vero cells had developed a confluent monolayer on microcarriers, which were at least one titer higher than the highest titer in the traditional rolling bottle. All these results suggested that this technology could be applied to large scale production for IBDV.

Scalable one-step wet-spinning of triboelectric fibers for large-area power and sensing textiles

Textile-based electronic devices have attracted increasing interest in recent years due to their wearability,breathability,comfort.Among them,textile-based triboelectric nanogenerators(T-TENGs)exhibit remarkable advantages in mechanical energy harvesting and self-powered sensing.However,there are still some key challenges to the development and application of triboelectric fibers(the basic unit of T-TENG).Scalable production and large-scale integration are still significant factors hindering its application.At the same time,there are some difficulties to overcome in the manufacturing process,such as achieving good stretchability and a quick production,overcoming incompatibility between conductive and triboelectric materials.In this study,triboelectric fibers are produced continuously by one-step coaxial wet spinning.They are only 0.18 mm in diameter and consist of liquid metal(LM)core and polyurethane(PU)sheath.Due to the good mechanical properties between them,there is no interface incompatibility of the triboelectric fibers.In addition,triboelectric fibers can be made into large areas of T-TENG by means of digital embroidery and plain weave.The T-TENGs can be used for energy harvesting and self-powered sensing.When they are fixed on the forearm can monitor various strokes in badminton.This work provides a promising strategy for the large-scale fabrication and large-area integration of triboelectric fibers,promotes the development of wearable T-TENGs.

Productivity Change and Growth in Posts and Telecommunications Sector

First,the Production Functions(PF)are estimated for Posts and Telecommunications(P&T)sector's aggregate economy, using annual data from 1957 to 1993. In this paper the contributions of factorinputs to the output growth are measured.Some comparative static results are presented and some interesting results about the economic characteristics of P&T sector are introduced.