The computer equipment company has been acting as an agent for a Fortune 500 manufacturer of intelligent connectivity devices in the provincial region for many years. In early 2020, due to the ...internal and external market environment, its product sales in the provincial market continued to decline significantly and its market share continued to shrink. In the face of fierce market competition, how to quickly transform marketing ideas, the use of big data and other advanced marketing methods, grasp the market demand, accurate target customers, through the expansion of sales scale and seize market share to achieve value-added revenue is a computer equipment companies to be solved the problem. Secondly, the macro environment and micro environment of computer equipment companies were analysed separately using PEST analysis and Porter’s five forces model analysis in the context of the development of China’s digital economy. The starting point of marketing strategy is customer demand, the landing point is customer service, and the core is to take customer demand as the starting point. This paper also further analyses the marketing environment of computer equipment companies by analysing consumer demand in terms of product diversity demand, higher cost performance demand, brand reputation credibility demand, and personalised demand for intelligent services.
How to assess intercultural competence is the key to exploring intercultural effectiveness. Although various methods have been developed for assessing intercultural competence (e.g., interviews, ...self-report questionnaire, critical analysis, etc.), this study assesses intercultural competence using videotapes to observe participants’ performance in the multicultural interactions. A comparative study was conducted comparing home students who were interculturally trained and who did not. By examining their performance in group discussion, two specific aspects – eye gaze and amount of talk – were analysed by both quantitative and qualitative techniques. The results show that trained home students not only had more and longer eye gazes than the untrained students during group discussion, but they also used more other-oriented speech than the untrained. Such findings indicate that the trained home students were more interculturally competent than the untrained especially in the multicultural intra-group interaction setting. As there are many other variables to examine (e.g., non-verbal cues such as body gestures and facial expressions), this study demonstrates a way to assess intercultural competence using videotapes in both verbal and non-verbal cues for the future research.
Summary
We investigated the effect of peroxyl radicals (ROO·), which are products of lipid peroxidation, on the structure and gel properties of myofibrillar proteins (MPs) isolated from rabbit meat. ...2,2′‐Azobis(2‐amidinopropane) dihydrochloride (AAPH) was heated to stably derive ROO·. As the AAPH concentration increased, the protein carbonyl compounds significantly accumulated (P < 0.05), and the total sulfhydryl content was significantly lost (P < 0.05). Circular dichroism spectra, UV absorption spectra, intrinsic fluorescence spectra and surface hydrophobicity revealed that ROO· caused protein unfolding and conformational changes in MPs. Sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS‐PAGE) analysis indicated that moderate (0–3 mm) and relatively high (5 and 10 mm) AAPH concentrations could lead to protein crosslinking and protein aggregation, respectively. These changes in protein structure could influence the gelling properties of MPs. Low‐level protein oxidation could increase gel strength and water holding capacity, whereas high‐level protein oxidation could reduce gel properties.
Moderate oxidative modification generated by peroxyl radicals can result in protein cross‐linking as a result of the formation of disulfide bonds, thereby increasing gel strength and water holding capacity. Protein crosslinking can further aggregate to form protein polymers because of the formation of other covalent bonds, in addition to disulfide bonds, under excessive oxidative modification conditions; thus high‐level protein oxidation could reduce gel properties.
At present, with the development of remote sensing technology and UAV technology, high-resolution remote sensing image has become one of the main data sources for vegetation extraction due to its ...rich texture features and geometric features. How to accurately and quickly extract ground object information from high-resolution images has become a hot topic in computer vision, photogrammetry and GIS research in recent years. At present, it is extremely convenient to acquire high-resolution remote sensing image data, while the extraction of ground object information, especially the vegetation classification and the research on information extraction methods, is relatively backward, which largely depends on the traditional classification methods. This paper summarizes the research progress of remote sensing classification of uav vegetation at home and abroad.
Using conventional and unconventional oil and gas resource evaluation methods with play as a unit, this study evaluates the oil and gas geology and resource potential of conventional oil and gas ...resources and seven types of unconventional resources in the global major oil and gas basins (excluding China). For the first time, resource evaluation data with independent intellectual property rights has been obtained. According to evaluation and calculation, the global recoverable conventional oil resources are 5 350.0×108 t, the recoverable condensate oil resources are 496.2×108 t, and the recoverable natural gas resources are 588.4×1012 m3. The remaining oil and gas 2P recoverable reserves are 4 212.6×108 t, the reserve growth of oil and gas fields are 1 531.7×108 t. The undiscovered oil and gas recoverable resources are 3 065.5×108 t. The global unconventional oil recoverable resources are 4 209.4×108 t and the unconventional natural gas recoverable resources are 195.4×1012 m3. The evaluation results show that the global conventional and unconventional oil and gas resources are still abundant.
In this study, high-resolution uav platform and motion structure modeling technology were used to research. Based on uav-image, vegetation coverage was automatically estimated by decision tree ...algorithm, and superimposed with DEM data to analyze the spatial distribution characteristics of vegetation in gobi region and its relationship with terrain. The results show that, based on the high definition image of UAV, the uav high precision image analysis platform is used to extract the sparse vegetation coverage in the Gobi region, and good accuracy is obtained. The use of uav image data has a good applicability for analyzing the sparse vegetation distribution characteristics in the Gobi region.
This paper is taking the Baise-Leye and Molin highway as the study area, using UAV technique to investigate the eco-environment. With the advancement of computer technology, especially the ...development of remote sensing technology, the paper is using the UAV technique in the field of highway engineering will be more profound. The authors are taking the UAV image to extract model. The authors carry out highway environment simulation analysis.
Since the Neoproterozoic, two important cycles of separation and junction of the Rodinia and Pangea supercontinents controlled the formation of the Tethys, Laurasia, Gondwana and Pacifica domains, as ...well as the sedimentary basin types including craton, passive margin, rift, foreland, fore-arc, and back-arc basins. Sixty-eight percent of the discovered reserves are from the Tethys domain, while 49% of the undiscovered possible reserves are in passive margin basins. Six major sets of source rocks, two types of reservoirs (carbonates and clastics), and two regional seals (shale and evaporite) formed in global evolution of basins. Ten patterns are summarized from the above factors controlling the distribution of global hydrocarbon resources. (1) Conventional-unconventional hydrocarbon is accumulated “orderly”. (2) Distribution of Tethys controls the accumulation of the global hydrocarbons. (3) Foreland thrusting zones control the distribution of structural oil/gas fields; (4) Intra-craton uplifts control the distribution of giant oil/gas fields; (5) Platform margins control the banded distribution of giant organic reef and bank type oil/gas fields. (6) Passive margins control the distribution of giant marine oil/gas fields. (7) Foreland deep slopes control the occurrence of large scale heavy oil and bitumen. (8) Basin deposition slopes control the accumulation of tight oil & gas and coalbed methane. (9) Organic rich deep basin sediments control the retention of shale oil and gas. (10) Low temperature and high pressure seafloor sediments control the distribution of hydrate. The conventional/unconventional resources ratio is 2:8. The conventional resources are mainly distributed in the Middle East, Russia, North America, and Latin America. The unconventional resources are mainly distributed in North America, Asia Pacific, Latin America, and Russia. According to the ten trends of global petroleum industry, hydrocarbon exploration is mainly focused on marine deep water, onshore deep layer, and unconventional oil & gas. The peak of oil production will probably come around 2040, and the life span of petroleum industry will last another 150 years. Renewable energy will replace fossil energy, not for the exhaustion of fossil energy, but because it is cheaper and cleaner.
Sequencing errors are key confounding factors for detecting low-frequency genetic variants that are important for cancer molecular diagnosis, treatment, and surveillance using deep next-generation ...sequencing (NGS). However, there is a lack of comprehensive understanding of errors introduced at various steps of a conventional NGS workflow, such as sample handling, library preparation, PCR enrichment, and sequencing. In this study, we use current NGS technology to systematically investigate these questions.
By evaluating read-specific error distributions, we discover that the substitution error rate can be computationally suppressed to 10
to 10
, which is 10- to 100-fold lower than generally considered achievable (10
) in the current literature. We then quantify substitution errors attributable to sample handling, library preparation, enrichment PCR, and sequencing by using multiple deep sequencing datasets. We find that error rates differ by nucleotide substitution types, ranging from 10
for A>C/T>G, C>A/G>T, and C>G/G>C changes to 10
for A>G/T>C changes. Furthermore, C>T/G>A errors exhibit strong sequence context dependency, sample-specific effects dominate elevated C>A/G>T errors, and target-enrichment PCR led to ~ 6-fold increase of overall error rate. We also find that more than 70% of hotspot variants can be detected at 0.1 ~ 0.01% frequency with the current NGS technology by applying in silico error suppression.
We present the first comprehensive analysis of sequencing error sources in conventional NGS workflows. The error profiles revealed by our study highlight new directions for further improving NGS analysis accuracy both experimentally and computationally, ultimately enhancing the precision of deep sequencing.
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