Profound Practical Significance Research Articles

Computer vision-based algorithm for precise defect detection and classification in photovoltaic modules

In recent years, driven by advancements in the photovoltaic industry, solar power generation has emerged as a crucial energy source in China and the globe. A progressive annotation approach is employed to pinpoint and label defect samples to enhance the precision of automated detection technology for minor defects within photovoltaic modules. Subsequently, computer vision techniques are harnessed to segment photovoltaic modules and defect samples amidst intricate backgrounds accurately. Finally, a transfer learning training model is deployed to classify and identify defects effectively. The results indicate that the mask-region convolutional neural network model achieves remarkable accuracy and recall rates of 98.7% and 0.913, respectively. Furthermore, the detection speed and inference time are 280.69 frames per second and 3.53 ms, respectively. In essence, the defect detection and classification algorithm utilizing computer vision techniques significantly enhances the precision of automated detection technology in identifying minor defects within complex environments. This advancement holds profound practical significance in ensuring photovoltaic modules’ quality and operational reliability.

Liberating C-H Bond Activation: Achieving 56% Quantum Efficiency in Photocatalytic Cyclohexane Dehydrogenation.

The technology of liquid organic hydrogen carriers presents great promise for large-scale hydrogen storage. Nevertheless, the activation of inert C(sp3)-H bonds in hydrocarbon carriers poses formidable challenges, resulting in a sluggish dehydrogenation process and necessitating high operating temperatures. Here, we break the shackles of C-H bond activation under visible light irradiation by fabricating subnanometer Pt clusters on defective Ce-Zr solid solutions. We achieved an unprecedented hydrogen production rate of 2601 mmol gcat.-1 h-1 (turnover frequency >50,000 molH2 molPt-1 h-1) from cyclohexane, surpassing the most advanced thermo- and photocatalysts. By optimizing the temperature-dominated hydrogen transfer process, achievable by harnessing hitherto wasted infrared light in sunlight, an astonishing 56% apparent quantum efficiency and a 5.2% solar-to-hydrogen efficiency are attained at 353 K. Our research stands as one of the most effective photocatalytic processes to date, holding profound practical significance in the utilization of solar energy and the exploitation of alkanes.

Application of ionic liquid extractant in enhanced separation of 2-propanol-n-hexane azeotrope system

2-Propanol and n-hexane are widely used (as) chemical reagents in electronic, pharmaceutical, and chemical industries. An efficient separation of the azeotropic system of 2-propanol-n-hexane is of profound practical significance. By using the conductor-like screening model for real solve (COSMO-RS) predictive model, ionic liquids as extractants for separating the azeotropic system of 2-propanol-n-hexane were evaluated with selectivity coefficients (S) and capacity (C) as the evaluation indexes. Based on the evaluation results, one high-performance extractants named hydroxylamine Cl (C8A19) was selected from 435 kinds of ionic liquids designed by combining 29 kinds of anions and 15 kinds of cations. Moreover, the reliability of the model in predicting the vapor–liquid phase equilibrium behavior of 2-propanol-n-hexane system was verified. Then, the effect of C8A19 on the vapor–liquid phase equilibrium of the 2-propanol-n-hexane system was investigated theoretically and experimentally. The results show that the azeotrope of the system can be broken when the molar fraction of C8A19 is 0.02, denoting that C8A19 can be used for enhanced separation of 2-propanol-n-hexane system. On the basis of the aforementioned study, the selectivity mechanism of the extractant was analyzed from the perspective of microscopic molecular interactions by using the descriptor (σ-profiles) of COSMO-RS. This study provides both theoretical and data support for further designing high-performance ionic liquid extractants and extraction process.

Analysis of the Influence of FDI on Employment in China

Since the reform and opening up, China continuously improves the investment environment, the foreign direct investment (FDI) continues to grow, which has an impact on all aspects of our economic activity. In recent years, due to the influence of the novel coronavirus epidemic, China's employment situation has fluctuated to a certain extent. How to use foreign direct investment (FDI) to stabilize China's employment situation and increase the number of employment has profound practical significance. Based on this, this paper uses China's 2011-2020 provincial panel data to study the impact of FDI on employment in China. The empirical results show that FDI has a promoting effect on employment in China, and the robustness and endogeneity tests support this conclusion. In view of this, the government should make full and rational use of foreign direct investment, balance the distribution of foreign direct investment between regions, and guide the adjustment of the structure of investment introduction.

The Impact of Environmental Factors on Adolescents’ Involvement in School Bullying

This article analyzes the environmental factors contributing to adolescents’ school bullying involvement. Compared with internal factors such as psychosocial factors, environmental factors are more likely to be manipulated, so the study of environmental factors of school bullying is of profound practical significance for the prevention and control of school bullying. Through systematic analysis and conclusion of relevant literature on environmental factors that cause school bullying in Google Scholar, these environmental factors are frequently influencing aspects of bullying, such as social context: (immigration issues, poor academic achievements, low socioeconomic status, community, and inferiority), school: (physical, emotional, and social environment), peer influence: (normative social influence and group think), family: (family economic conditions, parental conflict and the quality of the family environment and family-of-origin parenting styles). Those environmental factors that have potential negative effects on the physical and mental health of adolescents are revealed so as to offer insight into finding feasible ways to reduce campus violence.

Development and Promotion of Wushu Guidelines in Shanxi Province University

Background and Aim: Wushu, often regarded as one of the key elements of traditional Chinese culture, along with medicine, Beijing Opera, and calligraphy, form what is known as the "four quintessences of China." This cultural heritage has evolved and gained profound practical significance over thousands of years. This research aims to assess and advance the current status of "Wushu in campus" initiatives in higher education institutions, contributing to students' health, the propagation of Chinese Wushu, and the preservation of traditional national culture. Materials and Methods: There were 5,320 undergraduate students enrolled in Shanxi University, divided into 1,685 people in North China University, 1,935 people in Taiyuan Normal University, and 1,700 people in Shanxi University. 370 Wushu students were simply random sampling selected from three universities in Shanxi Province, and 15 Wushu teachers from 3 universities, 3 people from each university. Two Wushu course administrators from 3 universities, a total of 15 people. The total sample size was 385 people. This research used questionnaires and expert interviews to collect the data and develop guidelines for promoting Wushu in universities. Then, through 9 experts in a focus group to confirm the results of developing and promoting Wushu in universities. This research used mean, standard deviation, and percentage to analyze the data. Results: the Wushu into the campus activity guidelines indicated analysis were, Teaching with 7 tertiary components, Relevant department with 6 tertiary components, Complete system with 5 tertiary components, and Competition with 4 tertiary components. Conclusion: "Wushu into the campus" activities for students, to provide them with more ways to exercise. This activity will publicize Wushu from multiple angles and sides so that more people can see Wushu, understand Wushu, learn Wushu, and even love Wushu, which can publicize the traditional culture of the Chinese nation.

Fluorescent imaging and smartphone detection of ClO- using sensors based on trifluoromethylquinoline-substituted pyranonitrile

In the field of novel fluorescent sensors, achieving rapid and sensitive tracking of target substances has become an urgent imperative. Applying this technology to the detection of biomarkers for biological diseases holds profound practical significance. Hypochlorous acid (HClO) is a significant reactive oxygen species (ROS) within biological systems. Aberrant metabolism of HClO can result in disruptions of physiological functions and oxidative stress, consequently influencing the development of various diseases. In this context, our study has successfully developed a novel fluorescent probe named W-4a, which employs trifluoromethyl quinoline as a substitute for traditional pyranonitrile compounds, enabling the rapid (<40 s) and highly sensitive (UV limit of detection: 1.62 μM; fluorescence limit of detection: 0.14 μM) detection of ClO-, during the detection process, ClO- effectively activated the fluorescent probe and showed a distinct red fluorescent signal at 687 nm. Furthermore, the W-4a probe exhibits excellent biocompatibility and excels in both exogenous and endogenous ClO- detection imaging within cells, Co-localization experiments indicate that probe W-4a effectively targets the Golgi apparatus. Additionally, in conjunction with the W-4a probe, we have devised a portable smart detection method for hypochlorous acid in environmental settings, which holds the potential to serve as a flexible and potent tool for monitoring environmental toxicity.

Impact of digital trade on regional carbon emissions.

In the context of the dual carbon targets, digital trade brings new impetus to China's economic development to achieve low-carbon emission reduction. This article uses panel data from 30 provinces in China from 2011 to 2020, and uses a two-way fixed effect model to empirically investigate the impact of digital trade development on regional carbon emissions and its heterogeneity. The results show that the development of digital trade significantly reduces regional carbon emissions, and the conclusion is still valid after conducting the robustness tests. Digital trade can reduce regional carbon emissions by exploiting its effects of expanding economic scale, upgrading industrial structure, and promoting green technology innovation. In addition, the carbon reduction effect of digital trade varies due to differences in regions, trade openness, and carbon emission intensity. The carbon reduction effect of digital trade in central and western regions is larger than that in eastern regions, and the effect in inland regions is greater than that in coastal regions. As the degree of trade liberalization increases and carbon intensity decreases, the carbon reduction effect of digital trade will also weaken. The research conclusions have profound practical significance for achieving the carbon neutrality target, effectively addressing climate change, and promoting high-quality economic development.

Value of Carrying Forward and Practicing the Spirit of the “Two Roads” in the New Era

The spirit of the “two roads” is the extremely valuable spiritual wealth derived during the construction and maintenance of the S. C.-T. B. and Q. H.- T. B. highways. It is the important manifestation of the national spirit and the spirit of the times and the strong spiritual motivation that urges Chinese people to realize the great rejuvenation of the Chinese nation in the new era. Coupled with abundant ideological implications, the spirit of the “two roads” involves massive historical clues. In the new era, it is of significant and profound practical significance to energetically carry forward and practice the spirit of the “two roads”.

Philosophy of Life in Indian Epics Ramayana and Mahabharata

In the treasure of Indian folklore, there are two world-famous epics, the Ramayana and the Mahabharata, with two-four thousand stanzas each. If the Ramayana is a story about love and family, the Mahabharata tells about the fierce kingship battles. The Ramayana written in Sanskrit is sacred pride and is one of the works imbued with the spirit of Dharma teachings, following the Indian mind, aspirations and psychology, and national character. Mahabharata is one of the works containing the entire reason for life, the way of life of people following the thoughts, aspirations and psychology, and personality of the Indian people. The two epics not only reflect the Indian culture in particular but also the world culture in general. This also reflects the immense importance of both works and should be likened to Asia's greatest works of fantasy. Therefore, Ramayana and Mahabharata always contain a profound moral philosophy of life embodied in the conception of man and society, of good and evil of the ancient Indians, so studying this issue is both scientific value and profound practical significance.

Assessment of the Sustainability of the Resource-Based Province Shanxi, China Using Emergy Analysis

According to the BP Statistical Yearbook of World Energy, China’s coal production and consumption have ranked first in the world in recent years. Shanxi, a central China province, plays an important role in China’s energy supply because of its large coal reserves, long mining history, and high output. The aim of this study was to evaluate the sustainability of the eco-economic system in Shanxi Province, a typical resource-based region. Through emergy analysis, this study quantified the sustainable development of the eco-economic system in Shanxi Province from 2013 to 2020 from five dimensions: basic emergy quantity, social subsystem, economic subsystem, environmental subsystem, and capacity for sustainable development. The results show that Shanxi Province has made great progress in recent years in terms of the emergy value of renewable resources, per capita emergy consumption, and electricity emergy ratio, but the proportion of nonrenewable emergy is still large, the intensity of emergy is high, and the exchange rate of emergy is low. Lastly, the sustainable development indicators ESI and EISD reflect that Shanxi Province is gradually improving the utilization efficiency of resources, and Shanxi Province has achieved certain results after experiencing transition pains. This study, combined with the actual situation of Shanxi Province and the problems found, puts forward corresponding countermeasures. The analysis method used in this study provides a theoretical basis for the scientific evaluation of the sustainable development of a resource-based region, and the research results have profound practical significance for improving the quality of Shanxi’s economic development and helping Shanxi’s economic transformation.

Heterogeneous Dynamic Correlation Research among Industrial Structure Distortion, Two-Way FDI and Carbon Emission Intensity in China

The increase in carbon emissions year by year poses a severe challenge to the high-quality development and sustainability of China’s economy. How to reduce the intensity of carbon emissions has become a prominent issue to promote green growth. Based on the provincial panel data from 2011 to 2020, this paper uses Exploratory Spatial Data Analysis (ESDA), the spatial econometric model and intermediary effect test as analysis methods. The following results are drawn. Firstly, China’s industrial structure distortion index shows a downward trend. The industrial structure distortion index is the highest in the west of China, followed by the middle of China and is the lowest in the east of China. Secondly, the distortion of the industrial structure will not only lead to the increase in local carbon emission intensity but also produce reverse spillover to adjacent areas. Thirdly, the results of intermediary effect analysis show that industrial structure distortion can affect the transmission mechanism of carbon emission intensity by affecting two-way FDI. This paper has a profound practical significance for promoting the process of industrial upgrading by insisting on developing foreign trade to achieve carbon emission reduction. The main innovation of this paper is to put forward the concept of industrial structure distortion and bring it into a unified research framework with two-way FDI and carbon emission intensity.

A Big Data Integration Platform for Ideological and Political Education for Smart Campuses

The advent of large data and the era of large data has brought significant impact and changes to human production and life. Through the acquisition, analysis, processing, prediction, and dissemination of big data in scientific research, large data has emerged as the source of advanced technological to generate global quantitative data. It not only reveals the gaps and deficiencies of traditional approaches to ideological and mechanical studies methods in obtaining ideological behavior but also information about academic subjects providing support for optimizing and innovative technology and ideological transformation and then conducting intellectual and practical research in colleges and universities. In the age of large digital data, the ideology and politics of education are facing modern domestic and foreign situations, as well as new characteristics and new needs for ideology and politics study. This makes ideology and politics research methods even more important, which is seen as an opportunity for continuous creation and innovation and also adapts to the requirements of the times and reality. Smart campus refers to an intelligent integrated environment for campus work, study, and life based on the Internet of Things. This integrated environment takes various application service systems as the carrier and fully integrates teaching, scientific research, management, and campus life. From the large-scale data era, the educational theory of whether colleges and universities’ ideological and political research is rich or not supports more scientific theories to carry out psychological and mechanical research. It is evident that in the age of large data, the ideological and political research in colleges and institutes is not only a theoretical issue but also an important practical issue. Therefore, conducting ideological and political research in colleges and institutes in the age of large data has profound theoretical significance and great practical significance.

Technology for the Detection of Ablation Defects in Buffer Layers of High-Voltage Cables

This article discusses the main structure of HV cables as well as the characteristics of buffer layers and detection of ablation defects. To effectively detect ablation defects in the buffer layer, two approaches, terahertz time-domain measurements and commercial computed tomography (CT), were used in the laboratory to evaluate samples of cable with these defects and compare different preset conditions for detecting defects. The test results showed that the terahertz time domain measurement method was more sensitive than CT to moisture intrusion into the cable, but terahertz wave energy was reflected on the surface of the aluminum sheath of the cable and could not penetrate the sheath, thus, it was difficult to use this method to detect internal defects. The commercial CT method used X-rays to penetrate the aluminum sheath, and it could effectively obtain data for the three-dimensional reconstruction of each layer of material, other than the copper core. The structure of the cable was mapped through three-dimensional reconstruction using VGstudio Max software, and the three-dimensional map and gray value analysis were combined. The results confirmed that defects with different densities in the buffer layer could be detected by commercial CT. Thus, commercial CT detection methods provide an effective solution for identifying hidden defects in cables and have profound practical significance for the development of methods to detect defects when cables are in use.

CÁC LOẠI DỰ ÁN HỌC TẬP TRONG MÔN KĨ THUẬT Ở TIỂU HỌC

Project - based learning is a teaching model in which learners perform a complex learning task, with a combination of theory and practice to create a specific product. One of the advantages of this teaching model is to develop students' abilities, especially communication and cooperation, problem solving, self-study, and critical thinking... as the current educational goal is aiming. In the context of the transition from knowledge-oriented education to competency-oriented education, the research and application of project teaching in subjects in general and technical subjects in primary schools in particular has profound practical significance. By analyzing the concept, characteristics, project teaching process and systematizing the project classifications; Based on the characteristics of engineering subjects in elementary school, the article divides engineering subject projects into 4 types: inquiry project, research project, practice project, mixed project, concept clarification , characteristics, application process of each type of project and propose specific examples suitable to the characteristics of grade 4 and grade 5 technical subjects according to the approach to the 2018 Technology curriculum.

Ho Chi Minh's Thought on Medical Ethics and its Significance for Vietnam Today

Ho Chi Minh is one of the revolutionary leaders who discussed ethics the most, being himself a great example of practising revolutionary ethics. Especially, He paid great attention to medical ethics. The job of physicians is special and noble, and directly related to the health and lives of people, so it requires each cadre and staff of the health sector to improve their expertise, raising their sense of responsibility, being committed to their service and having the ethics of the job. Ho Chi Minh's thought on medical ethics bears profound scientific content and great practical significance. Vietnamese physicians today need to study and follow the thought, and need to practice and improve themselves more and more to be deserving examples of what He taught - “Physicians shall be like caring and gentle mothers”.

Research progress of green chemical mechanical polishing slurry

Atomic-scale fabrication is an effective way to realize the ultra-smooth surfaces of semiconductor wafers on an atomic scale. As one of the crucial manufacturing means for atomically precise surface of large-sized functional materials, chemical mechanical polishing (CMP) has become a key technology for ultra-smooth and non-damage surface planarization of advanced materials and devices by virtue of the synergetic effect of chemical corrosion and mechanical grinding. It has been widely used in aviation, aerospace, microelectronics, and many other fields. However, in order to achieve ultra-smooth surface processing at an atomic level, chemical corrosion and mechanical grinding methods commonly used in CMP process require some highly corrosive and toxic hazardous chemicals, which would cause irreversible damage to the ecosystems. Therefore, the recently reported green chemical additives used in high-performance and environmentally friendly CMP slurry for processing atomically precise surface are summarized here in this paper. Moreover, the mechanism of chemical reagents to the modulation of materials surface properties in the CMP process is also analyzed in detail. This will provide a reference for improving the surface characteristics on an atomic scale. Finally, the challenges that the polishing slurry is facing in the research of atomic-scale processing are put forward, and their future development directions are prospected too, which has profound practical significance for further improving the atomic-scale surface accuracy.

In-situ Cu Coating on Steel Surface after Oxidizing at High Temperature.

Almost all copper in scrap steel is recovered, so research on copper-bearing steel has profound practical significance. The surface enrichment of copper occurs in all copper-bearing steels studied in this paper after being heated at high temperature. In-situ oxidation-induced copper coatings were discovered on the descaled copper-bearing steels after heating at around 1150 °C for 2 h in air. Scattered copper precipitates in or under rust after heating at a lower temperature. A new concept was created using in-situ composites prepared by direct oxidation of matrix, and there was no bonding problem found between the coating and the matrix. The enrichment form of copper in steel is related to the oxidation rate, oxidation time, heating temperature and copper content.

Longitudinal and Torsional Vibration Characteristics of Boron Nitride Nanotubes

Boron nitride nanotubes (BNNTs) are new cousins of carbon nanotubes (CNTs), which alternately substitute boron and nitrogen atoms for carbon atoms entirely. Its excellent physical and chemical properties, such as excellent thermal stability, chemical inertness and strong acid corrosion resistance, make BNNTs products be favorable to machine, thus scientific activities focused on them have profound practical significance and great application prospect. However, the vibration characteristics of BNNTs is still the least understood aspects. Longitudinal and torsional free vibration of single-walled boron nitride nanotubes are investigated through a coupling atomistic-continuum model with Euler beam model and atomistic simulations. Euler beam model with the involved atomistic-continuum multiscale model is capable of capturing the size effect since physical meanings of the integration for involved higher order gradient tensors are corresponding to size effect. The analytical solutions obtained by the coupling method are compared with atomistic simulation and are found to be in a good agreement. Computational results demonstrate that fundamental frequencies are in an order of 1 THz for both cantilevered and clamped boron nitride nanotubes, independent of tubular chirality. The effect of tubular radius on fundamental frequencies of both longitudinal and torsional free vibrations are large when it is small, especially the latter. The error between coupling method and atomistic simulation generally decreases as the length/diameter ratio increases. For a given length/diameter ratio, tubular radius have a distinctly decreasing effect on the error no matter what the kind of constraint is. However, a small difference observed in the study of torsional free vibration is that the clamped constraint gives rise to a slight increasing effect on the error as the tubular radius increases, but limited to a small degree. The vibrational modes confirm that the difference is originated from the involved breathing vibration in both torsional and longitudinal free vibration.

A hybrid model for electricity price forecasting based on least square support vector machines with combined kernel

With the continuous development of the global electricity market, the electricity market needs the electricity price forecasting result to be accurate, and electricity price forecasting also has more profound practical significance. Accurate price forecasting can not only better reflect the operation of the electricity market but also help to make better decisions about the electricity market. However, the electricity price is affected by a variety of uncertain subjective and objective factors, as well as the constraints of the power system, making it more difficult to obtain accurate electricity price forecasting than electricity load forecasting. The kernel function occupies a very important position in a support vector machine (SVM), which is the key to the mature development of SVM theory. When using SVM for classification and regression, the appropriate kernel function is the basis and precondition for obtaining better classification and approximation effects. In this paper, a new combinatorial kernel function that combines RBF and UKF kernel functions is proposed and is applied to a least squares support vector machine (LSSVM), and based on this, a new hybrid model empirical mode (EMD)-Mixed-LSSVM is proposed to forecast electricity price. The hybrid model puts the electricity price data after the noise reduction by the EMD into the LSSVM with the combined kernel function for calculation. In this paper, we forecast the electricity price in Australia and compare the results of EMD-Mixed-LSSVM with other methods. The results show that EMD-Mixed-LSSVM can effectively improve the accuracy of electricity price forecasting.