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It has always been a common demand to stay away from the harsh environment with narrow space, numerous devices, complex operation process, and hidden hazards, and realize intelligent unmanned mining in the coal industry. To achieve this goal, it is very necessary for us to develop an effective theory of vision computing for underground coalmine applications. Its main task is to build effective models or frameworks for perceiving, describing, recognizing and understanding the environment of underground coalmine, and let intelligent equipment get 3D environment information in coalmine from images or videos. To effectively develop this theory and make it better for intelligent development of coalmine, this paper first analyzed the similarities and differences about computer vision and visual computing in coalmine, and proposed its composition architecture. And then, this paper introduced in detail the key technologies involved in visual computing in coalmine including visual perception and light field computing, feature extraction and feature description, semantic learning and vision understanding, 3D vision reconstruction, and sense computing integration and edge intelligence, which is followed by typical application cases of visual computing in coalmines. Finally, the development trend and prospect of underground visual computing in coalmine was given. In this section, this paper focused on concluding the key challenges and introducing two valuable applications including coalmine Augmented Reality/Mixed Reality and parallel intelligent mining. With the breakthrough of underground vision computing, it will play a more and more important role in the intelligent development of coal mines.

A series of researches were conducted on the collection and organization of software engineering big data, software development knowledge representation and extraction, intelligent software development tools and service platforms. The purpose is to establish big data based intelligent software development technique systems, develop intelligent software development supporting tools, and form the next-generation intelligent software development environment and cloud-based platforms incorporating human, tools, and data. The outcome of the project includes a public service platform for the widespread innovation of the people and a series of intelligent software development environments for enterprises.

The open source software development process contains a lot of valuable data, which is huge in scale, fragmented, and rapidly expanding. Aimming to the characteristics, the big data structure of open source ecosystem of software engineering was studied, and a self-growing collection and processing framework and a convergence and sharing environment was proposed. The related research on the development of intelligent software based on open source big data of software engineering, and typical applications based on analysis and mining of open source big data of software engineering were expounded, and relevant guidance for the research and application of big data of open source ecosystem for intelligent software development was provided.

In order to reduce the human disturbance for blood analysis results, an automatic blood type image recognition system is established, and the system's hardware and software recognition algorithm is researched. The hardware of the system consists of a DSP chip, a SDRAM chip, a FLASH chip, an image coding chip, an image decoding chip, a U disk/SD card control chip, etal. The software recognition algorithm consists of gray-scale transformation, smoothing filtering, template matching, threshold processing, color component extraction, etal. Experimental results indicate that the software recognition algorithm can segment the micro-tubular from the blood card and recognize the red blood cell distribution effectively. In addition, the blood card's type can be differentiated through the color difference effectively. This system can meet the basic requirement of blood type image's automatic recognition. [ABSTRACT FROM AUTHOR]

The article reports on the veterinary study of Zhao Yue-ping and colleagues which aimed to identify the trichomonas vaginalis virus (TVV) by electrophoretic analysis of total nucleic acids. It states that the viral particles were examined with a transmission electron microscope, cloned, and assayed. The DNA sequence of the cloned fragment had shared the nucleotide sequence identity of the TVV and the dsRNA virus was detected in the trichomonas vaginalis in humans.

Objective: To investigate the status of Cryptosporidium infection in the population in Nanjing City so as to provide the evidence for the prevention and control of cryptosporidiosis., Methods: A total of 100 fecal samples were collected from each of three districts (Liuhe, Qixia and Gaochun) and one hospital (Nanjing Zhongda Hospital) in 2015 and 2016 respectively. The fecal samples were detected for Cryptosporidium with microscopy (by using the gold amine phenol-modified acid-fast staining) and the positive samples were detected again for the molecular biology confirming by using the fluorescence quantitative PCR., Results: During the two years, 581 cases of normal population who lived in the city were surveyed and no Cryptosporidium infection was found. Among 202 cases of outpatients with chronic diarrhea, there were 9 Cryptosporidium positive cases with the microscope scanning method (4.46%), and among the 9 cases, 7 cases showed obvious logarithmic amplification curves showing positive Cryptosporidium nucleic acid, but 2 cases without the obvious logarithmic amplification curves, and the Cryptosporidium nucleic acid positive rate was 3.47%., Conclusions: Cryptosporidium infection is not found in the normal population of Nanjing City, but the Cryptosporidium infection is found in the chronic diarrhea patients. The results imply that we should strengthen the detection of Cryptosporidium in the chronic diarrhea patients, so as to provide the evidence for improving the diagnosis and treatment of cryptosporidiosis.

Objective: To understand the schistosomiasis control knowledge, attitude, and practice (KAP), and influencing factors of behaviors among residents in Jiangsu Province, so as to provide the evidence for making effective health education and health promotion models., Methods: The probability proportionate to size sampling (PPS) and multi-stage sampling methods were adopted to sample the research objects. A questionnaire survey of schistosomiasis control KAP was conducted in the residents of 16 to 69 years old in schistosomiasis endemic areas of Jiangsu Province, and the results were statistically analyzed., Results: The total awareness rate of the participants was 95.98% for schistosomiasis control knowledge. The correct rates of attitude and practice were 89.06% and 77.43%, respectively. The awareness/correct rates of knowledge, attitude and practice reduced in turns significantly ( χ 2 =1 282.96, P < 0.01). The knowledge awareness rate of fishermen and boatmen was 90.98%, but their attitude correct rate was only 53.81% ( χ 2 =120.52, P < 0.01). The unconditional logistic regression analysis showed that with the education level increasing, their practice correct rate rose, and the participants with the college degree or above had a higher correct rate compared to illeterate ones ( OR = 6.411, 95% CI : 4.896-8.395). The practice correct rate of the fisher-men and boatmen was only 5.1% of the rate of the farmers ( OR = 0.051, 95% CI : 0.029-0.091)., Conclusions: The total awareness rate of basic knowledge of schistosomiasis prevention and control in the residents of Jiangsu Province has reached the requirements in the "National Schistosomiasis Control Long-term Planning Outline (2004-2015)", but the correct rate of behaviors is low. The education level, occupation and residential areas affect the health behaviors of schistosomiasis prevention and control. Therefore, it is necessary to carry out targeted health promotion activities to promote the formation of healthy lifestyle and behaviors.

Objective: To observe the development of Schistosoma japonicum after single sexual infection and double sexual infection respectively., Methods: A single Oncomelania hupensis snail was infected by a single schistosome miracidium. The larva were induced and released from the snail after 60-day incubation at 26 ℃. The mice were infected by the larva (single sexual infection) and dissected 40 days after the infection. All the worms were collected and the sex of the larvae was determined by the sex of the adult worms. Then, the mice and rabbits were infected by single sex of larvae (single sexual infection) and double sex of larvae (double sexual infection) respectively. The mice and the rabbits were dissected 40 days after the infection. All the worms were collected and measured under a microscope., Results: All the male or female worms were collected from the mice and rabbits after single sexual infection. There were three main forms of worms after dissection of double sexual infection of mice and rabbits: folded mature male and female, male or female. Few folded male and immature female were found. Only the double sexual larva infected mice or rabbits had schistosome eggs in the liver and the liver had typical schistosome egg nodules. The single sexual larva infected mice or rabbits had no schistosome eggs or schistosome egg nodules in the liver tissues. The single male larva could develop to worms with the testis, and with a little smaller size compared to the mature folded male, while the single sexual infection female worm could not develop to the mature stage with much thinner and smaller compared to the mature folded female., Conclusions: The male or female worms from single sexual infection are smaller than those from double sexual infection (mature worms - folded male and female). So it is necessary to check single sex worms in vessels of intestinal mucosa thoroughly in the sentinel mice when no schistosome eggs were found in the liver.

In order to measure the microscopic 3D morphology of the objects with high-precision, a 3D texture measurement system of digital gatling based on structured light was designed, which can calculate the 3D height information with the analytic phase method. First, the authors collected sixteen equal step phase images by the four-step equal step method, and calculated their main value by dividing them into four groups. Then, the authors found the average as the final phase main value. The pretreatment on the fringe was done by the adaptive Wiener filter and wavelet multi-threshold method to eliminate the various effects of noise, projector distortion and CCD camera distortion. Besides, gradient-oriented phase unwrapping algorithm based on multifrequency was introduced to avoid phase discontinuity point in the course phase unwrapping, and it was proven to be effective and stable. Experiments showed that the system's 3D resolution was 2.75 microm, and the high degree accuracy was better than 0.5 microm, when the system was running with the fringe parameter p0 = 22.7 mm(-1). In addition, the system has many advantages such as fast measuring, simple operation and non-contact, which can meet the need of the high precision measurement requirements for the microscopic 3D morphology.