High-quality Performance Research Articles

PROBLEMS OF QUALITY MANAGEMENT OF THE ORGANIZATION

In the conditions of the transition to the market, the success of each specific producer is evaluated by the level of production efficiency, determined, first of all, by the level of meeting the needs of society with the lowest costs. Today, the defining characteristic that shapes public needs is the quality of products. This is due to the fact that the quality of products in conditions of competition is the main incentive for the purchase of products, one of the factors of its competitiveness. Solving the problem of increasing the competitiveness of domestic enterprises it begins, first of all, with a review of approaches to product quality assurance, which is produced According to modern approaches, quality is universal and comprehensive a concept that is understood not only the quality of the products and services we consume, as well as the quality of the environment, quality of human relations, quality of life in as a whole Therefore, quality appears as a measure of the relationship between business entities in the process conducting quality business. To ensure quality, it is necessary to have not only a material base and qualified personnel, but also a systematic approach to quality management issues. Organization must create an effective management system, which directs its efforts to the high-quality performance of all implemented processes, which, in in turn, will ensure the achievement of a high-quality result. A significant role in quality improvement is played by standards, which are the regulatory framework quality systems. International standards ISO series 9000 are generally recognized today, which concentrated quality management experience accumulated in different countries. In many countries, including Ukraine, they are accepted as national, and introduced in Ukraine effective from 01.10.2001.State of affairs in the field of quality management for Ukrainian enterprises cannot be defined as satisfactory. The development of export relations showed that domestic products enterprises is uncompetitive on the world market in terms of quality. In connection with thus, the problem of developing and implementing effective cost management methods to ensure product quality becomes particularly important.

An improved global fast terminal high-order sliding mode control strategy based on novel reaching law for improving PMLSM dynamic performance

Due to its better power density and efficiency, permanent magnet linear synchronous motor (PMLSM) is ideal for generating electricity with wave power device (WPD). Nevertheless, when the PMLSM for the WPD control system is impacted by changes in motor characteristics and interference from the outside environment, it typically is unable to deliver high-quality dynamic performance on schedule. Although sliding mode control (SMC) has been introduced to improve the robustness of the system greatly in recent decades, traditional methods still have problems such as slow dynamic response, poor anti-disturbance performance, large chattering amplitude, and phase delay. To solve the above defects in SMC, an improved global fast terminal high-order SMC strategy based on novel reaching law for improving PMLSM dynamic performance is proposed in this paper, as well as the sliding mode surface and control law of the speed controller is designed based on this control strategy. The proposed strategy would not only shorten the dynamic response time but also weaken the chattering magnitude in the sliding mode stage, improving the dynamic performance of both speed and current. The simulation results demonstrate that in comparison to the traditional PI and SMC control methods, the improved strategy proposed in this paper can further enhance the control performance of the linear motor, demonstrating the method’s enormous potential in the double closed-loop vector control system of PMLSM for WPD.

Implementation and Comparison of Three Image Reconstruction Algorithms in FPGA Toward Palm-Size Photoacoustic Tomography

Photoacoustic (PA) imaging has been widely applied in both preclinical and clinical applications. With a significantly increasing number of data acquisition channels, fast high-quality image reconstruction with low-cost for PA imaging is an open challenge. In this paper, we propose a palm-size PAT system, named palmPAT, to achieve miniaturized low-cost PA imaging modality with high performance. To prove the feasibility, Field Programmable Gate Array (FPGA) implementation of PA image reconstruction is performed to achieve high-quality imaging performance with miniaturized size and cost. This FPGA implementation can be easily adapted to widely used algorithms, such as delay-and-sum (DAS) and its variants (e.g. DMAS, DAS-CF). We have performed in-vivo human finger experiments to demonstrate the feasibility and potential. To our best knowledge, this is the first study concentrated on the implementation and comparison of three frequently-used PA image reconstruction algorithms based on FPGA platform.

Emission peak shifted incoherent random laser through the combined effects of coupling of surface plasmons in a triangular shaped silver nanostructure, microbubbles, and the waveguiding mechanism

The random laser (RL) is now becoming an essential tool for various photonics applications, and a plethora of research advancements in RL coupled with developments in the field of techniques of syntheses of various nanostructured materials is taking place. But the realization of tuning the peak emission wavelength of RL is still very challenging. However, in this report we have demonstrated an emission peak shifted tunable low threshold incoherent RL in the visible region in a gain medium of a commercially available dye laser material and by employing the rarely used scatterer materials of triangular silver nanoparticles (TSN), microbubbles, and the waveguiding mechanism. The scattering properties of trapped microbubbles, along with the localized surface plasmon resonance property of TSN of appropriate concentration within waveguided thin films composed of glass substrates, have been methodically investigated to demonstrate the reduction in lasing threshold and tunability in the peak emission wavelength. A two-fold reduction in RL threshold by addition of TSN in the disordered system, along with a considerable narrowing down of the emission spectra to a few nanometers, are obtained. Furthermore, the peak emission wavelength shift of 6 nm is reported by suitably changing the system configuration by the addition of an optimum concentration of TSN along with trapped microbubbles. The as-developed system shows high-quality laser performance with the maximum value of η=0.64, a quantity describing the ratio of the number of stimulated radiative photons within RL and the total number of emissive photons. We propose that the total internal reflections from the microbubble surface, along with plasmonic enhancement and scattering from the TSN, mediate the waveguided RL to achieve the low threshold. Therefore, this report is an early step towards demonstrating efficient RL in a ternary scattering system. Many more avenues for investigating this developing research issue may be helpful for the future development of affordable and robust optoelectronic devices.

Degradation of Tetracycline Using a Magnetic Gadolinium-Decorated Nanoplatform: A Peroxidase Biomimetic System with Fenton-Like Catalysis

Pharmaceutical pollutants such as tetracycline (TC) pose a growing global threat to aquatic and terrestrial biodiversity. Developing new methods for the degradation of these pollutants would be a significant advancement in their management. The progress in the development of synthetic enzymes based on nanomaterials has resulted in their replacement for natural enzymes with higher performance quality. In this work, a magnetite/Gd3+/β-cyclodextrin nanoplatform was prepared and used for TC degradation for the first time. The characterization studies were carried out using various methods, including SEM, XRD, and FTIR. The peroxidase-mimic activity of the synthesized nanoplatform was evaluated using a colorimetric assay. Kinetic parameters, including Km and Vmax, were obtained using TMB (3,3′,5,5′-tetramethylbenzidine) and H2O2. The results indicated that prepared particles had a lower Km value than horseradish peroxidase (HRP), which confirmed the higher affinity of the prepared nanoplatform toward its substrates. We also demonstrated that our recyclable nanoplatform (3 mg/mL) was able to degrade 82% of TC (4.5 mM) in 85 min without any initiator such as light or ultrasonic waves. Collectively, these results confirmed the high affinity of the synthesized nanoplatform toward desired substrates, including TC.

New Modeling and Improved Current Control Strategy to Eliminate the Impact of Synchronization Method and Parks Transformation for Grid-connected Four-leg PWM Inverter

The synchronization method’s ability is one of the fundamental guarantees for the stability and accuracy of injected current control for grid-connected converter-based distribution resources. These synchronization methods, such as phase locked loop (PLL), are generally based on Park transformation and grid voltage regulation, which may affect an unstable phenomenon under distortion and unbalanced grid voltage conditions and result in more computational complexity. In this present paper, analogous to the traditional voltage-oriented control strategy (VOC) in the synchronous rotating frame (dq0-frame) based on PLL and Parks transformation, an improved voltage-oriented control strategy (IVOC) without synchronization methods and Parks transformation is proposed for grid-connected four-leg inverters (GC-FLVSI) to achieve accurate current control with high-quality performance in the dq0-frame. This proposed strategy is not only used for controlling the GC-FLVSI but also to provide the module of GC-FLVSI in the dq0-frame based on the instantaneous active and reactive powers theory (DPC). The proposed IVOC strategy has the same properties and identical performance as the traditional VOC when the grid phase angle is correctly detected by any synchronization method, with the advantages of both traditional DPC and VOC at the same time. In order to validate the superiority and excellent dynamic and steady-state performances of the proposed IVOC strategy in comparison with the traditional VOC strategy, some simulation scenarios using MATLAB/Simulink under different operations and grid conditions have been performed and presented.

Application Test of Curing Equipment with Built-in Planetary Rotating Device

In order to improve the curing quality of composite cylindrical parts, a new curing equipment with built-in planetary rotating device was selected. In the process of equipment installation, commissioning and acceptance inspection, the equipment has been improved and applied. The test results show that the planetary rotating device in the furnace can realize the rotation around its own axis line and the revolution in the annular space in the furnace at the same time; Properly increasing the rotation speed of cylindrical parts during curing is conducive to improving the appearance quality of products; It is an effective way to improve the quality and reliability of composite cylindrical parts and meet the requirements of consistency of curing quality of high performance and high quality products by applying the new curing equipment with planetary rotary device, high precision temperature control system and furnace gas circulation system.

Effect of Changing Magnet Material on Cogging Torque and Torque Ripple of Brushless DC Motor

     Brushless DC motors (BLDC)are extensively used for high-control applications because of their small size, high efficiency, and high-performance qualities. It gained popularity since the permanent magnetic materials were improved, so the drive system must have precise positioning and smooth electromagnetic torque for high performance and precision. Numerous elements contribute to torque ripples in this motor; one of them is the type of permanent magnet material. In this paper, a 3-phase, four-pole, 1500 W  BLDC motor was modeled based on RMxprt and Maxwell 2D software. Four magnet materials: alnico 5, ceramic 5, SmCo 28, and NdFe 35, were studied to show the effect of each magnet on motor performance. The finite element analysis (FEA) results showed that the motor's average torque and cogging torque are directly proportional to the magnet strength. Also, the torque ripple exists with using a lower magnet strength magnet. Ndfe35 and SmCo28 have strong mechanical properties, are relatively expensive, and have higher cogging torque and torque ripple. The other materials, Alnico 5 and ceramic 5, are less costly and have less cogging torque and torque ripple. The full load simulations demonstrate that weaker magnets can also provide lower torque. Due to the results presented, while choosing the magnet materials, the trade-off between nominal torque, torque ripple, and price should be taken into account. The methodology adopted in this research will allow motor designers to select the best magnet material,and leading to excellent motor performance without the requirement to construct and test several prototype motors.

Prediction of Thermal Comfort from Operating Temperature and the Predicted Mean Vote / Predicted Percentage Dissatisfied (PMV/PPD) Indices in a Nubian Vault

The building and construction sector has a significant impact on the environment due to its high consumption of energy resources and increasing levels of emissions, and pollution. According to the United Nations Human Settlements Program (UN-HABITAT), the energy used by buildings and construction accounts for more than a third of the final energy consumed in the world and a quarter of greenhouse gas emissions. African countries such as Burkina Faso are concerned in this reality in the field of building. This is why the major issue in the tropic today is the construction of new buildings with high environmental quality and high energy performance. Today's construction choices will have an impact on future generations. The technique and materials of a building contribute to the health, safety and comfort of people. In the present work, the operating temperature and the PMV/PPD indices in a Nubian vault were determined. The operating temperature and the PMV/PPD indices are indicators of thermal comfort. Thus, the knowledge of these indicators allows to appreciate the state of comfort in the Nubian vault. It is in this perspective that the operating temperature will be determined by the adaptive method. The Fanger model is used for the determination of the PMV/PPD indexes. From the state of sensation obtained, acceptable ambient conditions can be defined for an individual in a tropical zone. As an alternative, the most suitable construction type and building materials could be recommended for each type of climate.

Self-supporting electrodes with in situ built aniline on carbon fibers and reduced graphene oxide covalently for stable flexible supercapacitors

Practical applications of flexible electronics have challenged the stability and cycle performance of flexible supercapacitor under continuous mechanical deformation, thus flexible electrode with stable structure has to be considered to maintain high-quality performance. A covalent modification strategy is present here to improve the stability of electrodes. Graphitized carbon cloth (GCC) and reduced graphene oxide (rGO) that modified with aniline by Suzuki reaction, are covalently bonded together with the polymerization of aniline (PANI). The electrode (GCC-PANI-rGO) modified by covalent bonds is stable enough to remain 97.73 % initial specific capacitance after charge-discharge 15,000 times at 40 mA/cm2. The capacitance retention of asymmetric flexible solid supercapacitor (FSSC) prepared by GCC-PANI-rGO and GCC is 108.78 % after 10,000 times mechanical folding. The electrode formed a π-π conjugation system through Suzuki reaction possesses low charge transfer resistance (0.428 Ω), and exhibits high specific capacitance and energy density that up to 11.825 F/cm2 and 1.642 mWh/cm2 at 1 mA/cm2. The energy density of FSSC is 0.266 mWh/cm2 at 1 mA/cm2 and surpasses most FSSC based on PANI and graphene. This work gives an essential covalently synthetic strategy for flexible supercapacitor with stable electrochemical performance in application.

The effect of heads of schools’ supervisory practices on learning achievement in public secondary schools in Ubungo municipality, Tanzania

To create a proactive and effective educational system for individual, community, and national progress, it is presumable that educational stakeholders must oversee educational practices to obtain consistently good results. Supervisory assessment of teaching staff helps educators obtain the support they need to succeed as well as to evaluate, weigh, and examine the benefits of various educational methodologies and tactics to achieve high-quality student performance in schools. This study analysed the effect of heads of schools’ supervisory practices on students’ learning achievement in public secondary schools in Ubungo municipality using 240 participants, including heads of schools, students, and teachers. The study employed a mixed approach with convergent parallel as the design. Various methodologies were employed to gather data, including questionnaires, documentary reviews, observations and semistructured interviews. The results revealed that the supervisory practices of school heads play a greater role in the quality of teaching and overall learning achievement of students in secondary schools. The academic achievement of students is impacted by supervisory practises such classroom visits, teacher mentoring, assessing teachers pedagogical abilities, assisting teachers in creating lesson plans, and other creative teaching methods. However, unfriendly working conditions, including a lack of facilities, funding, and dedicated teachers, make it difficult for school heads to carry out their supervisory duties. As a result, for supervisory practises to have a significant impact on the teaching and learning process, the government must constantly provide adequate school infrastructure, hire enough qualified teachers, create appropriate teaching and learning resources, and set up an efficient monitoring system to improve the teaching and learning process in secondary schools.

Ultra‐Rapid Synthesis of Perovskite Micro/Nanocubes Induced by Nanoporous Surface for Micro/Nanolasers

AbstractPerovskite micro/nanostructure with regular compact structure and high optical gain has provided a viable route toward the miniaturization of micro/nanolaser without an external cavity. Herein, a new process for the ultra‐rapid room‐temperature synthesis of perovskite micro/nanocubes with controllable size by combining surface‐induced crystallization with the perovskite solution route is described. At first, the perovskite precursors PbBr2 are encapsulated into the nanoporous glass monolith and then react with CsBr solution on a glass surface, where nanoscopic pores facilitate heterogeneous nucleation significantly. The whole synthesis process of micro/nanocubes is ultra‐rapid and complete within 20 s. Based on the synthetic perovskite micro/nanocubes, low‐threshold upconversion lasing is successfully realized with a high‐quality factor of 2845, which further confirms the high quality and excellent optical performance of perovskite micro/nanocubes. This powerful solution route provides an ultra‐rapid and facile method for the synthesis of perovskite micro/nanostructure toward miniaturized optoelectronic devices.

Semi-online parameter identification methodology for maritime power lithium batteries

Due to the special working environment of power lithium battery (P-LiB) on all-electric ships, the high-efficiency battery management system (BMS) is required. In this study, a novel semi-online parameter identification methodology integrated with large-scale global optimization algorithm is developed, in order to ensure the high-quality performance of subsequent BMS functions like the equalization control and state-of-charge estimation. Firstly, the P-LiB parameter identification model is established based on the first-order Thevenin equivalent circuit. Then, the evolution strategy of identification model is developed for dynamically updating the model along with the entire charging/discharging process of P-LiB. Considering that the model complexity increases exponentially with dimensionality, the AMCCDE algorithm developed in our previous work is employed to optimize the dynamic model repeatedly. Moreover, the semi-online operation mechanism for AMCCDE is proposed, in which the multiple context vectors are used to exchange information and inherit the optimal solution between each two adjacent semi-online cycles, and the identification solutions can be dynamically corrected and output at the end of each cycle. Finally, the developed semi-online identification methodology is verified using the USTC-DST and USTC-UDDS datasets. Experimental results show that the developed methodology can well balance the identification accuracy and timeliness, and dynamically output the accurate identification solutions in real-time.

A Robust Real-Time Ellipse Detection Method for Robot Applications

Over the years, many ellipse detection algorithms have been studied broadly, while the critical problem of accurately and effectively detecting ellipses in the real-world using robots remains a challenge. In this paper, we proposed a valuable real-time robot-oriented detector and simple tracking algorithm for ellipses. This method uses low-cost RGB cameras for conversion into HSV space to obtain reddish regions of interest (RROIs) contours, effective arc selection and grouping strategies, and the candidate ellipses selection procedures that eliminate invalid edges and clustering functions. Extensive experiments are conducted to adjust and verify the method’s parameters for achieving the best performance. The method combined with a simple tracking algorithm executes only approximately 30 ms on a video frame in most cases. The results show that the proposed method had high-quality performance (precision, recall, F-Measure scores) and the least execution time compared with the existing nine most advanced methods on three public actual application datasets. Our method could detect elliptical markers in real-time in practical applications, detect ellipses adaptively under natural light, well detect severely blocked and specular reflection ellipses when the elliptical object was far from or close to the robot. The average detection frequency can meet the real-time requirements (>10 Hz).

Machine learning-aided scoring of synthesis difficulties for designer chromosomes.

Designer chromosomes are artificially synthesized chromosomes. Nowadays, these chromosomes have numerous applications ranging from medical research to the development of biofuels. However, some chromosome fragments can interfere with the chemical synthesis of designer chromosomes and eventually limit the widespread use of this technology. To address this issue, this study aimed to develop an interpretable machine learning framework to predict and quantify the synthesis difficulties of designer chromosomes in advance. Through the use of this framework, six key sequence features leading to synthesis difficulties were identified, and an eXtreme Gradient Boosting model was established to integrate these features. The predictive model achieved high-quality performance with an AUC of 0.895 in cross-validation and an AUC of 0.885 on an independent test set. Based on these results, the synthesis difficulty index (S-index) was proposed as a means of scoring and interpreting synthesis difficulties of chromosomes from prokaryotes to eukaryotes. The findings of this study emphasize the significant variability in synthesis difficulties between chromosomes and demonstrate the potential of the proposed model to predict and mitigate these difficulties through the optimization of the synthesis process and genome rewriting.

The criticality of transport and export activities in the economic prosperity of high-middle income countries: the role of logistics performance

ABSTRACT This study considers the economic importance of export activities, logistics performance and transportation services as key agents of sustainable development. Considering this aspect of economic development, this study investigates the mediating role of logistics performance in determining the effects of export and transportation on the economic growth of the panel data of 35 emerging upper-middle-income countries over the period 2008–2018. By employing the economic growth model and considering essential indicators, this investigation addresses key aspects of development in the examined economies. The empirical results show that logistics performance, exports, human capital, and population have a statistically significant impact on economic growth with respective elasticities of 0.28, 0.36, 1.25, and negative 0.05. Importantly, the study reveals that logistics performance moderates the effect of export and transportation on economic growth, thus aiding the sustainable development of upper-middle-income countries by increasing export-economic growth elasticity from 0.36 to 1.26. Although transportation services do not influence economic growth independently, its economic importance became significant with elasticity of 1.113 when logistics performance is improved. Therefore, policy makers in upper-middle-income countries should maintain strict macroeconomic policies that could effectively engineer the sustainable export of goods and services and ensure high-quality logistics performance even in the transport sector.

Compression of Deep-Learning Models Through Global Weight Pruning Using Alternating Direction Method of Multipliers

Deep learning has shown excellent performance in numerous machine-learning tasks, but one practical obstacle in deep learning is that the amount of computation and required memory is huge. Model compression, especially in deep learning, is very useful because it saves memory and reduces storage size while maintaining model performance. Model compression in a layered network structure aims to reduce the number of edges by pruning weights that are deemed unnecessary during the calculation. However, existing weight pruning methods perform a layer-by-layer reduction, which requires a predefined removal-ratio constraint for each layer. Layer-by-layer removal ratios must be structurally specified depending on the task, causing a sharp increase in the training time due to a large number of tuning parameters. Thus, such a layer-by-layer strategy is hardly feasible for deep layered models. Our proposed method aims to perform weight pruning in a deep layered network, while producing similar performance, by setting a global removal ratio for the entire model without prior knowledge of the structural characteristics. Our experiments with the proposed method show reliable and high-quality performance, obviating layer-by-layer removal ratios. Furthermore, experiments with increasing layers yield a pattern in the pruned weights that could provide an insight into the layers’ structural importance. The experiment with the LeNet-5 model using MNIST data results in a higher compression ratio of 98.8% for the proposed method, outperforming existing pruning algorithms. In the Resnet-56 experiment, the performance change according to removal ratios of 10–90% is investigated, and a higher removal ratio is achieved compared to other tested models. We also demonstrate the effectiveness of the proposed method with YOLOv4, a real-life object-detection model requiring substantial computation.

DEMANDS STATED BY ARTISTIC GYMNASTICS COACHES AT THE BEGINNING OF THEIR CAREERS

High quality performance of sports coaches involves the use of professional, interpersonal and intrapersonal skills (Côté & Gilbert, 2009). The complexity of the work of sports coaches, especially in Artistic Gymnastics (AG), due to the profound technical and physical demands right from the basic categories, can be magnified for coaches with little experience entering the field. Thus, this study aimed to identify the perceptions of coaches at the beginning of their careers regarding the types of skills required for their professional routine. We interviewed five coaches affiliated with the Santa Catarina Gymnastics Federation (Brazil) with less than 10-year experience in AG. During the interviews, indicators, such as professional routine and knowledge required in this context, were addressed. We used Braun and Clarke's (2019) reflexive thematic analysis to analyze the data. The results show that the complexity of coaches' work requires an expanded repertoire of knowledge. In general, coaches realize that relevant professional and interpersonal skills to teach gymnastics are the most required types of knowledge in daily practice. Intrapersonal skills, on the other hand, seem to be less needed, which may contribute to the preservation of an authoritarian culture in sports training. The requirements discussed in this study lead to implications for and reflections on AG coaches’ training programs, especially in the structure of the body of knowledge that provides a good basis for dealing with their daily challenges.

Comparison Between Self-Deliberate Practice and Directed Learning Training Methods for Basic Life Support Knowledge and High-Quality Cardiopulmonary Resuscitation Skill Retention in Second-Year Medical Students 3 and 6 Months After Training.

Cardiopulmonary resuscitation (CPR) requires well-trained medical personnel. Multiple learning methods can be done for CPR skills training. This study aimed to compare self-deliberate practice (SDP) method and directed learning (DL) method to improve basic life support (BLS) knowledge and CPR skill performance in medical students. This is an experimental, single-blind, randomized controlled trial study of 40 medical students from February to July 2019. Forty subjects were randomly assigned into SDP and DL groups through a voluntary sampling method. Both groups attended a 1-day course and then practiced once a month for 3months. The DL group had practice sessions with assigned tutors, while the SDP group had to practice by themselves. Examination of BLS knowledge and CPR performance quality (compression depth, rate, and performance score) was collected before and after course lecture, after a skills training, 3 and 6months after training. Subject characteristics of both groups were comparable. Significant knowledge and skill improvement were found in the DL group and the SDP group when compared to their knowledge and skill before training. There were no significant differences between both groups in BLS knowledge and CPR performance quality in all examination periods. Both SDP and DL teaching methods show significant improvement and excellent retention in BLS knowledge and high-quality CPR performance. These two learning methods are both feasible and bring positive results for students. The online version contains supplementary material available at 10.1007/s40670-023-01746-7.

Introduction of Multicomponent Dyes into 2D MOFs: A Strategy to Fabricate White Light-Emitting MOF Composite Nanosheets

Metal-organic frameworks (MOFs) have been extensively studied in host-guest chemistry by means of ultrahigh porosities, tunable channels, and component diversities. As the host matrix, MOFs exhibit immense potential in the preparation of single-phase white light-emitting (SPWLE) materials. Nonetheless, it is a great challenge that the size of the introduced guest molecules is limited by MOF pores, which affects the WLE optimization. In this work, two-dimensional (2D) MOFs are first utilized as the host matrices to simultaneously encapsulate red-green-blue fluorescent dyes for SPWLE. Various dyes@2D MOF composites with high-quality WLE performances and ultrathin nanosheet morphologies are directly assembled from 2D MOF precursors and dyes in high yields. Owing to the flexible interlamellar space of 2D MOFs, different types and sizes of guests can be easily introduced, which greatly expands the range of available MOF hosts and guests, making the WLE much more tunable. The strategy of employing 2D MOFs as the host matrices to introduce multicomponent dyes for SPWLE nanosheets resolves the restriction of MOF pores on the guest molecule size and opens a new avenue to rationally design and prepare SPWLE nanosheets that are highly solution-processable.