Construction Of System Research Articles

The Role of Green Taxation Governance in China: A Review of the Development and Impacts of Environmental Protection Tax

The initiatives from China’s “ecological civilisation construction” to “promoting the modernisation of harmonious coexistence between man and nature”, and then to the dual-carbon goal of “carbon peaking – carbon neutrality”, highlight China’s firm determination to promote green development further. On January 1, 2018, the Environmental Protection Tax Law of the People’s Republic of China was officially implemented as the first new green tax focused on environmental governance in China. This marks the formal entry of China’s environmental protection into the tax era and the establishment of a green tax system with environmental protection tax (EPT) as the core. By a comprehensive review of the development, multi-dimensional effects and tax optimisation paths of China’s EPT, this paper hopes to provide an important reference for government departments to improve the construction of the green tax system, for enterprises to enhance their green governance capabilities, and for scholars to extend the study of the green tax system.

Integration of Immunosyringe Sensors with Bar-Chart Chips for Prick-and-Read Testing of Prostate Specific Antigen.

Pressure-based signal transduction is of promise in developing microfluidic immunoassays such as volumetric bar-chart chips (V-chips), but new working principles are required to further simplify the methods in point-of-care testing (POCT). Herein, we developed immunosyringe sensors and integrated them with bar-chart chips for simple prick-and-read testing of prostate specific antigen (PSA) as a model target. Disposable syringes served as the host for the construction of the sandwich-type immuno-recognition system. Platinum nanoparticles (Pt NPs) as the peroxidase-mimicking detection probe catalyzed the decomposition of H2O2 to produce O2 in the syringe cylinders, enabling the pressure-driven automatic injection of liquids from the syringes. The immuno-recognition event in the syringes was thereby converted into the quantitative autoinjection behavior of the syringes, namely, immunosyringe sensors. By simply pricking the sensors to bar-chart chips, we visually and quantitatively read the immunoassay signals as the bar-chart injection distance of liquids from the syringes in channels of the chips. The immunoassay showed a limit of detection (LOD) of 0.41 ng/mL in PSA detection with satisfactory accuracy in testing clinical serum samples. Owing to the integration with the immunosyringe sensors, this method, in comparison with conventional V-chips, works in a simpler prick-and-read manner without complex chip configurations and specialized chip operations (e.g., on-chip loading of microvolume reagents and sealing treatments). Therefore, the immunoassay shows great potential in POCT applications.

Cross-Transition-Dipole Stacking of Conjugated Organic Molecules: Structure, Exciton Behavior and Optoelectronic Property.

Organic conjugated molecules have gained widespread application as organic semiconductors due to their unique optoelectronic properties. The rigidity of these large conjugated structures facilitates strong intermolecular interactions, which significantly influence their properties in the solid state through various molecular arrangements. The study of the relationship among molecular arrangement, exciton behavior, and optoelectronic properties is an eternal research topic. Cross-dipole stacking is a specific molecular arrangement that demonstrates unique characteristics and has received continuous attention over the past decades. This mini-review will first discuss the unique exciton behaviors in cross-dipole stacking based on exciton models, including weak exciton coupling and suppression of Förster resonance energy transfer. These exciton behaviors, determined by molecular stacking arrangements, are fundamental to the optoelectronic properties of cross-dipole stacking systems. Next, we will introduce well-defined cross-dipole systems and summarize their design principles from a molecular structure perspective. Finally, we will present the specific optoelectronic properties of cross-dipole stacking systems and their outstanding performance, such as high solid-state luminescence, good charge carrier mobility, and significant CD/CPL. Through this mini-review, we hope to enhance the understanding of cross-dipole stacking, contributing to the construction of such systems, the exploration of excited-state behaviors, and the discovery of high-performance materials.

Risk Assessment of Small-Diameter Shield Construction in a Deep Drainage Tunnel Based on an ISM–CRITIC–Cloud Model

The deep drainage tunnel project is an important measure to alleviate urban waterlogging. The construction of a deep drainage tunnel is a complicated process, involving many influencing factors, and there are correlations among these influencing factors, so the risk assessment is difficult. In this study, the ISM method, CRITIC method and cloud model are combined to build a risk assessment model for the small-diameter shield construction of a deep drainage tunnel. Firstly, the risk index system of small-diameter shield construction in a deep drainage tunnel is put forward. Secondly, the ISM method is used to divide the risk indicators and extract the key risk factors. Then, these key risk factors are weighted with the CRITIC method, and the cloud model is used to evaluate the construction risk of a small-diameter shield of a deep drainage tunnel. Finally, the feasibility and accuracy of the proposed method are verified by a practical case. It was found that the risk assessment method proposed in this study can not only effectively assess the level of security risk, but also identify the key risk factors and rank the importance of these factors. The results of this study can reduce the interference items and workload of risk assessment to a certain extent, and help provide managers with an accurate decision-making basis.

High-Performance All-Inorganic Perovskite Tandem Photodetectors With Bi2TeO6 Layer Enabled by Enhanced Dual Pyro-Phototronic Effect for Triple-Encryption Imaging Sensing System with Programmable Logic Gate.

As the focus on information security continues to intensify, encrypted imaging sensing technology becomes increasingly indispensable. However, the widespread application of encrypted imaging sensing technology is hindered by high manufacturing costs and complex system construction. Herein, an all-inorganic perovskite/perovskite tandem self-powered photodetector (PDs) is reported, incorporated with Bi2TeO6 layer to enahnce dual pyro-phototronic effect, to realize an innovated encryption imaging sensing system with programmable logic gate. The PDs reach responsivity of 1.46 A W-1 and detectivity of 3.44 × 1013 Jones, the corresponding EQE reaches 342%, which is ≈75.48 times greater than that without pyro-phototronic effect. The outstanding performance resulting from dual pyro-phototronic effect in Cs2PbI2Cl2 perovskite and Bi2TeO6/CsSn0.5Pb0.5IBr2 interface, and optimizing band arrangement from the oxidized Bi2TeO6 layer. The photovoltaic and pyro-phototronic signal of PDs can still be clearly distinguished under 8 kHz pulsed laser. More importantly, the encryption imaging sensing system achieves simultaneous outputs of triple image information, and their programmable optoelectronic logic gate can executesix distinct logical functions, including "OR", "AND", "XOR", "NAND", "NOR" and "XNOR". This research not only provides a feasible strategy for realizing the outstanding pyro-phototronic effect of all-inorganic perovskite materials, but also presents novel insights for designingencrypted imaging sensing technology.

Construction of novel magnetic systems for cancer immunotherapy via cancer-immunity cycle circuits.

The tumor microenvironment (TME) is enriched with immunosuppressive factors that inhibit the recruitment and activation of dendritic cells (DCs), thereby reducing the efficacy of tumor immunotherapy. To address this challenge, we propose an innovative strategy involving the sequential administration of MCM magnetic nanoparticles carrying PROTAC drugs (MCM/ARV) and M-BMDCs in the TEM. This approach not only replenishes DCs in the TEM, but also increases antigen uptake through the attraction between the magnetic particles and promotes DC activation and antigen presentation, thus continuously enhancing the tumor immune cycle. MCM nanoparticles (magnetic nanoclusters coated with calcium-doped manganese carbonate) efficiently load the tumor-targeting drug PROTAC (ARV-825), enhancing its bioavailability, leading to specific degradation of BRD4 in tumor cells, and releasing a large number of tumor-associated antigens. These antigens were captured by MCM nanoparticles to construct magnetized tumor vaccines. Magnetic M-BMDCs introduced at the tumor site are attracted to these magnetized vaccines, resulting in a significant increase in antigen uptake and activation of DCs, significantly enhancing the tumor immune cycle. This co-administration strategy of magnetized vaccines and magnetized BMDCs provides a unique combination therapy for reversing immunosuppressive TEM and enhancing the efficacy of tumor immunotherapy.

A Deep Learning Approach for Real Time Road Damage Detection via Image Processing

Due to the use of subpar building materials in the construction of road drainage systems, traffic accident identification and prevention are becoming increasingly tough and challenging issues in India. The aforementioned issues lead to early road deterioration and potholes, which result in accidents. An estimated 4,64,910 incidents occur in India annually, according to a report published by the Ministry of Road Transport and Highways' transport research wing in New Delhi. This study suggested a deep learning-based approach that uses photos to identify potholes early, lowering the risk of an accident. Inception-V2, Faster Region-based Convolutional Neural Network (F-RCNN), and Transfer Learning serve as the fundamental foundations for this model.There are fewer pothole recognition models that just use machine learning methods to detect potholes, but several models combine machine learning methods with accelerometer data (without the need for images). The study's results show that our proposed model outperforms other pothole detecting techniques currently in use.

IDENTIFIKASI POLA PEMANFAATAN RUANG UNTUK AKOMODASI PENGINAPAN PADA LAHAN HUNIAN MASYARAKAT DI LINGKUNGAN PERMUKIMAN DESA PELIATAN UBUD

Homestay within residential homes has become increasingly popular among foreign tourists recently. Due to the high demand for this type of accommodation, homestays and guesthouses have begun to emerge within the homes of local residents around Ubud. Houses that were originally intended solely as residences are now undergoing a functional transformation, adding a role as accommodations for tourists. This has created a complexity in spatial needs within one area, ultimately affecting and blending the spatial values traditionally held by the local community. If this trend continues without efforts to harmonize it with local cultural values and architecture, the cultural identity in the spatial patterns and values of traditional residences could fade. The researcher will examine in detail how space utilization patterns for accommodations within Ubud residences are being managed. Further, factors influencing the placement of spaces for lodging buildings will be explored. The results of the study indicate that most space utilization patterns for homestay buildings within residential homes in the village of Peliatan still apply local architectural styles, although there are some adjustments in construction systems and materials used.

The influence of COVID-19 pandemic on college students’ academic performance and the construction of a learning ability warning system

ObjectiveThis study explored the impact of prevention and control measures taken by Chinese universities on college students’ academic performance during the COVID-19 pandemic.ParticipantsThe sample includes 1,009 senior students, 1,140 junior and sophomore students, and 1,198 freshman students studying at a top university in China from 2012 to 2023.MethodsAnalysis of variance was used to analyze historical data, and a learning ability warning system based on probabilistic neural networks was further proposed.ResultsThere was a significant difference in student academic performance from 2019 to 2022 compared to historical data. Prevention and control measures such as school closures and online teaching have affected the academic performance of college students.ConclusionCOVID-19 has a negative impact on college students’ learning ability. It is necessary to establish a learning ability warning system to assist university management departments in formulating relevant policies to restore the learning ability of college students.

A Comprehensive Evaluation of Water-Saving Society Construction in Xinxiang, Henan Province, China

Water is a crucial and fundamental resource. It is well known that agricultural cultivation, industrial production, and human daily life are not possible without water. Efficiently utilizing water resources is of great significance for achieving global Sustainable Development Goals (SDGs). In order to improve water use efficiency in various industries and promote water-saving development, China has been implementing water-saving society construction since 2002. Henan Province is the main grain-producing area in China, with wheat production accounting for a quarter of the country’s total. As the core area of “Central Plains Agricultural Valley” in Henan Province, Xinxiang City plays an important role in agricultural technology innovation and agricultural production. However, Xinxiang City is facing problems of water scarcity and pollution, which constrain the sustainability of agricultural production. Therefore, building a water-saving society can solve the current water problems faced by Xinxiang City and ensure the sustainable development of the economy and society. This study built an evaluation index system for water-saving society construction in Xinxiang, Henan Province, China. The proposed evaluation index system includes 20 evaluation indices from six aspects—integrated, agricultural water, industrial water, domestic water, water ecology and environment, and water-saving management—and then divides its development level into several stages. The Analytical Hierarchy Process (AHP) was adopted to calculate the index weight. Then, a comprehensive evaluation model for water-saving society construction in Xinxiang City was established by combining it with grey relative analysis (GRA). The results showed that the overall level of water-saving society construction in Xinxiang City is in the excellent stage, whereas water consumption per CNY 10,000 of GDP, the effective utilization coefficient of irrigation water, the reuse rate of industrial water, and the leakage rate of urban water supply network are all in the good stage. However, the urban recycled water utilization rate is still in the poor stage. These research results can effectively and reasonably reflect the development level of water-saving society construction in Xinxiang City and guide the continued implementation of water-saving society construction. At the same time, the comprehensive evaluation of water-saving society construction helps to formulate and adjust water resource management policies and measures; it also holds significant value for sustainable water management and combating water scarcity.

The Current Status and Structural Analysis of College Students’ Employability

Abstract With the rapid development of the social economy and the advent of the knowledge economy era, the employability of college students has become a key indicator for measuring the quality of higher education and promoting social progress. Currently, improving the employability of college students is not only related to their personal development but also to the overall level of the national innovation system and economic construction. This study aims to explore the employability of students at Liuzhou Vocational and Technical College. Through random sampling, we surveyed 300 recent graduates (covering various majors) and 200 previous graduates (covering various majors) from Liuzhou Vocational and Technical College, and invited 10 companies that hired graduates from the college to participate in an online questionnaire survey. We also conducted interviews with five companies that recruit graduates from Liuzhou Vocational and Technical College to analyze in depth the current status of college students' employability, covering aspects such as cognitive ability, professional skills, social skills, and innovative spirit. The research results show that college students have rich theoretical knowledge but lack soft skills such as teamwork, problem-solving ability, interpersonal communication skills, and coordination ability. To address these issues, this paper proposes the development of training courses to enhance the employability of college students.

Current Research Progress of ESG and Its Systematic Analysis from the Perspective of Economics

As global environmental, social and governance issues gradually become key factors for enterprise sustainable development and investment decision-making, the research progress of Environment, Social Responsibility and Governance (ESG) has received wide attention. This article will systematically summarize the existing ESG research based on the existing ESG research environment, society and governance, based on the existing research on ESG enterprise value, corporate performance and social responsibility, systematically summarize the existing ESG research, find problems in ESG research and propose solutions through summary. The construction of ESG system in accordance with economics is discussed, and the research found that, The ESG system provides new evaluation indicators and decision-making tools for enterprises and investors. By quantifying the performance of the environment, society and governance, ESG evaluation not only helps enterprises better internalize social costs, improve brand value and employee loyalty, but also alleviates information asymmetry and agency problems, and enhances the long-term risk resistance of enterprises. Based on the discussion of the ESG system in this article, it provides a program discussion to solve the problems in the current ESG research. At the same time, it provides more possibilities for better achieving the coordinated development of society, economy and the environment, and provides a feasibility plan for global sustainable development.

Design and Construction of a Website-Based Tourist Bus Rental System Using the Extreme Programming Method

Design and Construction of a Website-Based Tourist Bus Rental System Using the Extreme Programming Method

Structural insulation panel system (SIP) as an alternative for cooling energy saving, decarbonization, and energy cost reduction in hot and dry climates. A simulation-based approach

ABSTRACT During the last decades, the growing urban prospects represent a challenging condition to develop climate change adaptation solutions before the urban overheating effects and its challenges to the environment, human health, and building energy consumption, which is critical in hot arid climates with record-breaking heatwaves where society is turning to air conditioning instead of energy-efficient building envelopes. The primary aim of this study was to examine the influence of the Structural Insulation Panel (SIP) system heat transfer in energy-related aspects and contrast it with those of conventional construction systems. Therefore, a comparative study was carried out in low-income dwellings to measure the thermal transmittance of the building envelope and assess the thermal energy simulation allocated in Köppen-Geiger´s hot desert climate, characterized by typical maximum temperatures of 45°C in the summer season. The investigation ascertained the levels of energy consumption, the capacity of the air conditioning system, the associated energy costs, and the potential decrease in carbon footprint. The study shows SIP as a viable construction system alternative, the evidence shows a 20% heat gain reduction, the Heating, Ventilation, and Air Conditioning (HVAC) system capacity was reduced by 38%, and energy cost by 27%. The system also contributes to the decarbonization and carbon footprint by 20%. Likewise, to reduce the heat flow, a crucial element is evident, since transmittance in thermal bridges significantly affects the heat transfer in these low thermal conductivity systems with structural reinforcement elements.

Mechanisms of Low Temperature Thickening of Different Materials for Deepwater Water-Based Drilling Fluids

During deepwater drilling, the low mudline temperatures and narrow safe density window pose serious challenges to the safe and efficient performance of deepwater water-based drilling fluids. Low temperatures can lead to physical and chemical changes in the components of water-based drilling fluids and the behavior of low temperature gelation. As a coarse dispersion system, water-based drilling fluid has a complex composition of dispersed phase and dispersing medium. Further clarification of low temperature gelation would be helpful in developing technical approaches to enhance the flat rheology performance of deepwater water-based drilling fluids. In this paper, different components are separated in order to comprehensively analyze the gelation behavior of different materials in water-based drilling fluids at low temperatures. In the first place, the rheological and hydrodynamic radius alterations of inorganic salts, bentonite, and additives in aqueous solutions were examined at low temperatures. The effects of inorganic salts, bentonite, and additives on the purified water system were investigated at low (4 °C)–normal (25 °C)–high (75 °C) temperatures. The low temperature gelation of different materials in pure water systems are fully clarified. The mud containing 4% bentonite with weak low temperature gelation commonly used in deepwater water-based drilling fluids was selected as the basic test system. Inorganic salts, additives, and solid-phase materials were added to the mud containing 4% bentonite. The effects of the interactions between different materials and bentonite particles on the low temperature gelation behavior of mud were analyzed. The higher the bentonite dosage, the stronger the low temperature gelation behavior of mud. The higher the addition of inorganic salts, the more serious the low temperature gelation behavior of mud. Inorganic salts should be avoided as much as possible to add too much. The low temperature gelation behavior of mud with low-viscosity additives is weak. However, the viscosity of mud with high-viscosity additives has a small change in viscosity with increasing temperature. The low temperature gelation of mud with the addition of solid-phase particulate materials with reactive groups on the surface is strong, and the low temperature gelation with the addition of inert particles is weak. This paper elucidates the low temperature gelation mechanism of bentonite, inorganic salts, additives, and solid-phase materials in deepwater water-based drilling fluids. The conclusion can also be used to guide the construction of a drilling fluid system, which is of great significance for the research and development of deepwater water-based drilling fluid additives and the safe and efficient performance of deepwater drilling fluids.

Preliminary Study on the Construction of Evaluation Index System for Clinical Medicine Postgraduates Based on Job Competency

Objective: To evaluate the practicality of constructing multiple evaluation index systems for postgraduates in clinical medicine professional degree based on job competency. Methods: The theoretical framework of the evaluation index system was initially developed using expert consultation, literature review, and other methods. 20 survey experts were selected and consulted using the Delphi method to screen and evaluate the weights of multiple indicators. Data was then entered into a table to evaluate the practicality of the constructed indicators. Results: The questionnaire recovery rate of the first round of expert consultation was 92.50%, and the second round was 100.00%. The comparison between the two groups showed P < 0.05. The authority level of the first round was 0.817, and the second round was 0.811. In the first round of coordination, the chi-square value of the first-level indicators was 0.498, and the chi-square value of the second-level indicators was 0.628. In the second round of coordination, the chi-square value of the first-level indicators was 0.573, and the chi-square value of the second-level indicators was 0.634. The comparison between the two rounds showed P < 0.05. The evaluation index system included 2 first-level indicators, 5 second-level indicators, and 31 third-level indicators. Conclusion: Constructing an evaluation index system based on job competency is highly scientific, with a reasonable construction process and high practical value.

Application of tunneling magnetoresistance in electromagnetic tomography system construction.

Tunneling magnetoresistance (TMR) is a magnetic sensor that measures the magnetic induction component toward a sensitive axis. It is used in electromagnetic tomography (EMT) systems for its high sensitivity, frequency independence, and small size. TMR-based EMT (TMR-EMT) system construction and performance enhancement require a more comprehensive understanding of TMR characteristics. This paper introduces the construction principle of a TMR-EMT system, studies effect of TMR quantity on imaging results, compares the difference between TMR-EMT and coil-based EMT (Coil-EMT) in imaging results, analyzes the influence of TMR characteristics on the measurements, and gives the corresponding solutions. Simulations and experiments indicate that adding more TMRs could enhance imaging quality, obtaining better results than Coil-EMT imaging quality. The experimental results show that dynamically adjusting the excitation amplitude and downward zero-crossing switching can effectively improve the problems of output saturation and deteriorating consistency of measurements caused by TMR nonlinear characteristic.

Highly Efficient and One-pot New Betti Bases: PEG-400 and Al2O3 Mediated Synthesis, Optimizations, and Cytotoxic Studies

Background: Multicomponent reactions (MCRs) have proven as one of the best alternatives to minimize several environmental consequences, mainly the use of hazardous chemicals, byproducts, and severe production processes. Literature reveals that MCRs with PEG-400 and metal oxide-based greener media provide a new and useful strategy for the construction of biologically potent organic systems. Objective: The present study aimed to synthesize newer Betti bases by a modified Betti reaction employing a highly efficient catalyst for the direct synthesis of a novel class of non-racemic amino benzyl naphthol ligands under green solvent media. The involvement of the articulated framework (4a-4j) was studied against nine cancer panels (NCI-60 cell lines) in terms of inhibiting/killing cancer cells. Methods: For the modification of the Betti reaction, we used 2-aminopyridin-3-ol, aromatic aldehydes, and a naphthol system using greener media employing PEG-400 and alumina as a prime active and highly selective catalyst. Furthermore, the antiproliferative activity against NCI-60 human cancer cell lines (GI50) was used for the development of pharmacologically active compounds and exhibited the single dose (10-5 M) study. Results: Based on greener media synthesis, recompenses of ease of workup, less reaction time, higher yield, and higher atom economy, as well as environmentally friendly, were reported. Betti bases were obtained at a yield of 87-98% and characterized by spectroscopic techniques. Among the synthesized scaffolds, compound 4b was found to be extra potent in melanoma cancer [MDAMB- 435], while compound 4h showed promising inhibition in leukemic cancer cell lines [HL- 60(TB) and MOLT-4]. Conclusion: A straightforward way for an efficient synthesis of Betti bases was developed via the reaction of naphthol and aldehydes with amines in PEG-400 media. An Al2O3 was effectively catalyzed in the Betti reaction in excellent yields without the formation of any other by-product in atom economy and environmentally benign way. The newly synthesized hybrids were tested in vitro against a panel of cancer cell lines, and some of the compounds exhibited significant inhibitory anti-proliferative effects. The most potent compounds (4b and 4h) showed interesting results, and compound 4b was found extra potent in melanoma cancer cell lines with -62% GI values.

Egyptian seaweed resources from the South Sinai coast to develop alginate-based biohybrid composites for enhanced lead(II) removal from industrial wastewater

Herein, crosslinked-alginate (CAL) was extracted from Egyptian marine biowaste (brown seaweed discarded near seashore of Ras Sedr, Sinai). Novel biohybrid composites were fabricated by hybridizing CAL chains with either carbohydrate polymer (starch, St) or proteinaceous content (albumin, Alb). Physicochemical properties of such biocomposites were characterized using XRD, FTIR, Raman, DLS, SEM and AFM analyses. Compared to CAL, starch as hybridizing agent enthuses existence of stacking-oriented alginate chains of higher amorphicity and lower zeta-potential (-17 mV). Hybridization of alginate matrix with albumin chains yielded high negatively charged (-37.8mV) crystalline biocomposite with smooth surfaces. Performance of St-CAL and Alb-CAL biocomposites toward Pb2+ removal from wastewater was scrutinized. The impact of pH, adsorbate concentration, contact time, and thermodynamic studies on Pb2+ removal using these biocomposites were estimated. Removal efficiency of St-CAL was superior to that of Alb-CAL yielding ~ 70% for 5 succussive runs. Pb2+ adsorption process over St-CAL was spontaneous with exothermic nature at room temperature and followed Freundlich model with pronounced adsorption energy and capacity. Fitness of kinetic models for St-CAL was ranked as pseudo-first-order with escalated intra-particle diffusion rates. Construction of oxygen-rich hybrid carbohydrate systems is willingly applied in future as green cleaner to wastewater from heavy metal ions.

Construction of template-free amplification system coupled with capillary electrophoresis for the simultaneous detection of three tumor-associated DNA repair enzymes

DNA repair enzymes are important in the repair of DNA lesions for maintaining the genome stability, and their abnormal expression induced various human cancers. Simultaneous detection of these DNA enzymes could provide convincing evidence based on the comparison of the activity of multiple enzymes than on that of single enzyme. Although fluorescence approach has been applied for the simultaneous detection both of DNA repair enzymes, the spectral overlap and multiwavelength excitation severely restrict the number of available fluorophores. Thus, it is difficult to simultaneously detect three enzymes in a single analysis by fluorescence detection. Herein, we developed a method for the simultaneous determination of three DNA repair enzymes including human flap DNA endonuclease 1 (FEN1), human alkyladenine DNA glycosylase (hAAG) and uracil DNA glycosylase (UDG) based on the combination of template-free amplification system with capillary electrophoresis-laser induced fluorescence (CE-LIF) detection. The amplification system was adopted to transfer and amplify the enzymatic products into different length DNA fragments which could be separated effectively by CE-LIF without the complicated modification of the capillary inner wall or labeling different tails on signal probes for separation. The method demonstrated a detection limit of 0.07 U/mL (0.08-160 U/mL) for FEN1, 2.40 U/mL (2.5-250 U/mL) for hAAG and 2.1 × 10−4 U/mL (0.0004-2.5 U/mL) for UDG, the relative standard deviations (RSDs) of peak time and peak area for different analytes were as follows: 2.50%-4.37% and 3.24%-7.18% (inter-day); 1.37%-2.71% and 1.43%-3.02% (intra-day), 4.28%-6.08% and 4.16%-7.57% (column to column), respectively. And it can identify the inhibitor-like drugs, evaluate enzymatic kinetics and achieve the detection of three enzymes in cell extracts, providing a simple and powerful platform for simultaneous detection of more DNA repair enzymes.