High-quality Performance Research Articles

Switching Time Optimization for Binary Quantum Optimal Control

Quantum optimal control is a technique for controlling the evolution of a quantum system and has been applied to a wide range of problems in quantum physics. We study a binary quantum control optimization problem, where control decisions are binary-valued and the problem is solved in diverse quantum algorithms. In this paper, we utilize classical optimization and computing techniques to develop an algorithmic framework that sequentially optimizes the number of control switches and the duration of each control interval on a continuous time horizon. Specifically, we first solve the continuous relaxation of the binary control problem based on time discretization and then use a heuristic to obtain a controller sequence with a penalty on the number of switches. Then, we formulate a switching time optimization model and apply sequential least-squares programming with accelerated time-evolution simulation to solve the model. We demonstrate that our computational framework can obtain binary controls with high-quality performance and also reduce computational time via solving a family of quantum control instances in various quantum physics applications.

Legal forms of ensuring personnel security in the personnel management system of public agencies

Relevance. The relevance lies in the need for a comprehensive study of the legal forms of ensuring security in the administrative and public sphere: a competence-based approach to personnel and career modeling, ethics of official behavior, reasonable state and public control over certain types of permitted activities of Russian officials, support for the social status of an employee.Purpose. The purpose is a legal analysis of existing areas of personnel policy to prevent occupational risks within the framework of security, including the identification of positive examples of the functioning of similar foreign institutions.Objective. The objectives are to summarize scientific positions on the methodology of ensuring safety in the personnel management system; consideration of legislative innovations in the regulation of the sphere of labor; identification of risks of illegal and unethical behavior of officials at various stages of professional activity, identification of legal ways to eliminate them; assessment of foreign experience in the field of personnel security.Methodology. The use of formal-dogmatic, comparative-legal and other scientific methods made it possible to identify a system of measures taken by administrative and public structures in order to overcome threats to the high-quality and objective performance of official duties by employees of public agencies.Results. The results are in the importance of transforming the personnel selection mechanism (the preliminary stage of the process of filling a public position), eliminating the shortcomings of the existing practice of competitive procedures, preventing illegal, unethical behavior of employees. Elements of novelty are present in the proposal to develop measures to regulate the initial stage of personnel work in civil institutions, which is currently limited by formal requirements for candidates and regulated by various departmental acts.Conclusion. It is concluded that it is necessary to improve the procedures for the admission and distribution of personnel to public agencies in the Russian Federation, including improving a number of competitive procedures based on anonymity by analogy with foreign experience.

Application of bioinformatic tools in cell type classification for single-cell RNA-seq data.

The advancements in single-cell RNA sequencing (scRNAseq) technology have significantly transformed genomics research, enabling the handling of thousands of cells in each experiment. As of now, 32,068 research studies have been cataloged in the Pubmed database. The primary aim of scRNAseq investigations is to identify cell types, understand the antitumor immune response, and identify new and uncommon cell types. Traditional techniques for identifying cell types include microscopy, histology, and pathological characteristics. However, the complexity of instruments and the need for precise experimental design make it difficult to fully capture the overall heterogeneity. Unsupervised clustering and supervised classification methods have been used to solve this task. Supervised cell type classification methods have gained popularity as large-scale, high-quality, well-annotated and more robust results compared to clustering methods. A recent study showed that support vector machine (SVM) gives a high-quality classification performance in different scenarios. In this article, we compare and evaluate the performance of four different kernels (sigmoid, linear, radial, polynomial) of SVM. The results of the experiments on three standard scRNA-seq datasets indicate that SVM with linear and SVM with sigmoid kernel classify the cells more accurately (approx. 99 %) where SVM linear kernel method has remarkably fast computation time and we also evaluate the results using some single cell specific evaluation matrices F-1 score, MCC, AUC value. Additionally, it sheds light on the potential use of kernels of SVM to give underlying information of single-cell RNA-Seq data more effectively.

From Motivation to Performance: The Crossroads of Teachers as the Fulcrum of Education

This phenomenological study explored the teachers’ motivation and their performance during the school year 2023-2024. The participants of the study were the 15 teachers purposefully chosen from the district 10, Division of Malaybalay City. The data were gathered from the participants using phenomenological interviews. The researcher analyzed the data using Creswell’s qualitative analysis framework. From the data, five themes emerged on the teachers’ motivation, given their principals’ leadership style. These themes are: empowering teachers for student success through professional growth support, creating an empowering and supportive school culture through leadership excellence, building motivation through recognition and growth opportunities, empowering teachers through collaboration and supportive leadership, and fostering teacher empowerment through supportive leadership and trust. As for the performance of school heads as motivators and translators of high-performing leadership, two themes emerged: inspiring excellence through motivating teachers for student success and empowering teachers for high-quality performance. On the other hand, the challenges and support yielded two themes: challenges of adaptation, inequities, uncertainties, and expectations, and thriving together through communication, empowerment, and support.

A dataset and benchmark for hospital course summarization with adapted large language models.

Brief hospital course (BHC) summaries are clinical documents that summarize a patient's hospital stay. While large language models (LLMs) depict remarkable capabilities in automating real-world tasks, their capabilities for healthcare applications such as synthesizing BHCs from clinical notes have not been shown. We introduce a novel preprocessed dataset, the MIMIC-IV-BHC, encapsulating clinical note and BHC pairs to adapt LLMs for BHC synthesis. Furthermore, we introduce a benchmark of the summarization performance of 2 general-purpose LLMs and 3 healthcare-adapted LLMs. Using clinical notes as input, we apply prompting-based (using in-context learning) and fine-tuning-based adaptation strategies to 3 open-source LLMs (Clinical-T5-Large, Llama2-13B, and FLAN-UL2) and 2 proprietary LLMs (Generative Pre-trained Transformer [GPT]-3.5 and GPT-4). We evaluate these LLMs across multiple context-length inputs using natural language similarity metrics. We further conduct a clinical study with 5 clinicians, comparing clinician-written and LLM-generated BHCs across 30 samples, focusing on their potential to enhance clinical decision-making through improved summary quality. We compare reader preferences for the original and LLM-generated summary using Wilcoxon signed-rank tests. We further request optional qualitative feedback from clinicians to gain deeper insights into their preferences, and we present the frequency of common themes arising from these comments. The Llama2-13B fine-tuned LLM outperforms other domain-adapted models given quantitative evaluation metrics of Bilingual Evaluation Understudy (BLEU) and Bidirectional Encoder Representations from Transformers (BERT)-Score. GPT-4 with in-context learning shows more robustness to increasing context lengths of clinical note inputs than fine-tuned Llama2-13B. Despite comparable quantitative metrics, the reader study depicts a significant preference for summaries generated by GPT-4 with in-context learning compared to both Llama2-13B fine-tuned summaries and the original summaries (P<.001), highlighting the need for qualitative clinical evaluation. We release a foundational clinically relevant dataset, the MIMIC-IV-BHC, and present an open-source benchmark of LLM performance in BHC synthesis from clinical notes. We observe high-quality summarization performance for both in-context proprietary and fine-tuned open-source LLMs using both quantitative metrics and a qualitative clinical reader study. Our research effectively integrates elements from the data assimilation pipeline: our methods use (1) clinical data sources to integrate, (2) data translation, and (3) knowledge creation, while our evaluation strategy paves the way for (4) deployment.

Stress-strain state of high-rise building foundation when constructing a sheet-pile wall

In modern construction practice, when constructing deep pits in complex engineering-geological and hydrogeological conditions, sheet-pile walls are often used in the form of a monolithic reinforced concrete wall in soil. Compared to otherstructural types of fences, the sheet-pile wall in the soil has a number of advantages, such as the possibility of its installation in almost any engineeringgeological and hydrogeological conditions of construction sites, reliable protection of the pit fromflooding during its high-quality performance of works, and increased rigidity. However, the construction of the sheet-pile wall in the soil of this type has a significant impact on the stress-strain state of the soil massif containing it, which negatively affects not only the surrounding buildings, which manifests itself in the form of its additional settlement, but also leads to uneven deformations of the soil massif at the base of slab foundations of highrise buildings, which are erected, increasing theirtilt.But if in recent years a number of works have been devoted to the study of the impact of the installation of a wall in the soil on the additional subsidence of buildings in the surrounding development, which made it possible to establish the regularitiesof their development and develop effective protective measures, then the effect of the wall in the soil on settlement and tilting, buildings that erected in pits has practically not been studied, and their correct assessment is especially important during the construction of high-rise buildings, the tilts of which are strictly limited by current regulatory documents.In view of this, as well as in connection with the volume of construction of high-rise buildings, which is constantly increasing, the implementation of studies aimed at studying the influence of a pit sheet-pile wall in the form of a monolithic reinforced concrete wall in a soil on the settlements and tilts of high-rise buildings on a slab foundation with the aim of increasing the accuracy of their calculation should be considered an actual geotechnical task.The degree of influence of the distance from the sheet-pile wall to the edge of the slab, the depth of the wall into the soil below the bottom of the pit, the contact conditions of the soil massif from the side of the pit with the surface of the fence (soil-concrete), the deformation characteristics of the base and the load on the average settlements and tilts ofhigh-rise buildings on slab foundations were studied.

Factors that Influence Employee Job Performance: A Case Study of GDEX Express Carrier Bhd

The purpose of this study is to investigate the key factors influencing employee job performance in GDEX. Employee job performance has been found to be easily influenced by corporate behaviours. Therefore, it is important for an organisation to know pertinent issues that are capable of influencing employee job performance in order to help the organisation achieve high-quality work performance in future. The main objective of this study is to investigate variables that would influence employee job performance in GDEX. The four variables include training and development, rewards, good working environment, and effective communication toward employee job performance in GDEX. This study employed the qualitative approach to study employee job performance in a logistics company. The secondary data has been chosen as a research technique to analyze and examine the problem. Based on the secondary research, the findings showed that training and development, rewards, good working environment, and effective communication has a significant positive effect on employee job performance.

Management standards and quality control index for the clinical application of transarterial chemoembolization in the treatment of liver cancer (2024 edition)

Transarterial chemoembolization (TACE) is currently one of the commonly used treatment methods for liver malignancies. The key to ensuring its efficacy is high-quality TACE performance and management.Therefore, to further promote the quality control indicators line for TACE clinical application in the treatment of liver cancer, the National Center for Healthcare Quality Management in Comprehensive Interventional Radiology combined evidence-based medicine, expert consensus, and conditions in China to draft and formulate the "Management standards and quality control index for the clinical application of transarterial chemoembolization in the treatment of liver cancer (2024 edition)" so as to affirm the standardized, precise, and individualized application in clinical practice and improve the overall efficacy in patients with liver malignancies.

Surface Engineering of SnO2 Electron Transport Layers for Efficient Quantum Dot Light Emitting Diodes

Quantum dot light-emitting diodes (QLEDs) have rapidly emerged as a frontrunner in the next generation of display technologies, offering significant advantages over traditional display technologies. Their appeal primarily lies in their ability to emit light efficiently while covering a wide color gamut, which is crucial for achieving high-quality display performance. One of the critical components in the architecture of QLEDs is the electron transport layer (ETL). This layer plays a significant role in transporting electrons from the electrode to the quantum dots while also blocking holes, which ensures efficient recombination of electrons and holes within the quantum dots. Metal oxide-based ETLs, particularly those made from Zn(Mg)O, have been widely used due to their favorable electronic properties, which significantly enhance the overall efficiency of QLED devices. Zn(Mg)O, with its excellent electron mobility and appropriate energy levels, has helped in achieving high external quantum efficiencies (EQE) in QLEDs. However, the performance of Zn(Mg)O-based QLEDs are highly sensitive to the adsorption of oxygen, water, thiol, and acidic compounds from the environment. Uncontrolled enhancement of device efficiency due to altered surface chemistry (so-called positive aging), causes complication for designing driving circuits, hampering the development of commercial devices.One material that has garnered considerable attention as a potential alternative to Zn(Mg)O is tin oxide (SnO2). SnO2 has garnered attention as an alternative ETL material in QLEDs due to a wide band gap, high electron mobility, high transmittance in visible range and chemical stability, as recently reported for superior shelf stability compared to Zn(Mg)O-based ETLs. Recent studies have reported that SnO2-based QLEDs offer superior shelf stability compared to Zn(Mg)O-based QLEDs, which could potentially make them more suitable for reproducibility. However, despite these promising properties, SnO2-based QLEDs have so far exhibited lower performance compared to their Zn(Mg)O-based counterparts. This performance gap suggests that the electrical properties of SnO2 in the context of QLEDs are not yet fully understood and require further investigation.Herein, we synthesized SnO2 nanoparticles (NPs) using a hydrothermal method, which is known for producing high-crystalline nanomaterials. The SnO2 NPs were characterized using a combination of X-ray diffraction (XRD), transmission electron microscopy (TEM), and optical spectroscopy. These techniques confirmed that the synthesized SnO2 NPs exhibited high crystallinity, a uniform size distribution, and a wide band gap exceeding 4.1 eV. The high crystallinity and uniform size are particularly important as they contribute to the consistent electronic properties of the ETL, which in turn affects the overall performance of the QLED. In an effort to further improve the performance of SnO2-based QLEDs, we applied an acid treatment to the SnO2 nanoparticles (NPs). The purpose of this treatment was not only to clean the surface of SnO2 NPs by removing organic ligands but also to passivate electron traps associated with surface hydroxide groups (–OH) on the SnO2 NPs. Excessive organic ligands can degrade the electrical properties, while surface hydroxides are known to act as traps for electrons, which can reduce the efficiency of the electron transport layer (ETL) by preventing electrons from reaching the quantum dots. By reducing the ratio of –OH to O2 ⁻ (IOH/IO), as confirmed by X-ray photoelectron spectroscopy (XPS), we were able to successfully passivate these traps, thereby enhancing the electron transport properties of the SnO2 ETL. As a result of this acid treatment, the QLEDs incorporating acid-treated SnO2 demonstrated improved electrical conductivity, lower turn-on voltage, and increased luminance efficiency. Acid-treated SnO2-based QLEDs exhibit an EQE of up to 14.6%. This is a significant improvement and, to the best of our knowledge, represents the highest efficiency reported for QLEDs employing a single ETL layer. From these results, we confirmed the potential of using SnO2 as a substitute for Zn(Mg)O as an ETL material.

Core Components of Cardiac Rehabilitation Programs: 2024 Update: A Scientific Statement From the American Heart Association and the American Association of Cardiovascular and Pulmonary Rehabilitation

The science of cardiac rehabilitation and the secondary prevention of cardiovascular disease has progressed substantially since the most recent American Heart Association and American Association of Cardiovascular and Pulmonary Rehabilitation update on the core components of cardiac rehabilitation and secondary prevention programs was published in 2007. In addition, the advent of new care models, including virtual and remote delivery of cardiac rehabilitation services, has expanded the ways that cardiac rehabilitation programs can reach patients. In this scientific statement, we update the scientific basis of the core components of patient assessment, nutritional counseling, weight management and body composition, cardiovascular disease and risk factor management, psychosocial management, aerobic exercise training, strength training, and physical activity counseling. In addition, in recognition that high-quality cardiac rehabilitation programs regularly monitor their processes and outcomes and engage in an ongoing process of quality improvement, we introduce a new core component of program quality. High-quality program performance will be essential to improve widely documented low enrollment and adherence rates and reduce health disparities in cardiac rehabilitation access.

Acoustic sub-wavelength imaging via a virtual super-lens

Overcoming the diffraction limit has been a long-lasting pursuit for researchers owing to the great potential it offers in going beyond the fundamental resolution restriction in imaging processes. In acoustics, meta-lenses have been a promising way to achieve sub-wavelength imaging, the practical application of which, however, has been limited by expensive material manufacturing, complex system setup, and material loss. Here, we propose a set of procedures equivalent to a virtual super-lens that selectively amplifies the evanescent wave components in the measured acoustic field spectrum, thereby enabling super-resolution imaging without any auxiliary setups or purposely designed super-lens. The proposed virtual super-lens is experimentally verified by considering the imaging of an irregularly shaped sample with sub-wavelength features. We further demonstrate the robustness of the high-quality imaging performance remains acceptable with some environment background noises. In the light of the simple experimental setup involved, our proposed method is flexible and can be readily applied to various practical imaging scenarios.

Coupling coordination relationship between high-quality economic development and carbon emission performance in China: degree measurement, spatio-temporal evolution, and driving factors

Coupling coordination relationship between high-quality economic development and carbon emission performance in China: degree measurement, spatio-temporal evolution, and driving factors

Study on the Comprehensive Assessment of High-Quality Development Performance of Low Carbon Tourism in China's Rizhao City Empowered by New Quality Productivity

With the rapid development of China's urban economy, the new quality productivity empowerment to promote the high-quality development of tourism in Rizhao City has become a new trend, and the vigorous development of tourism has gradually become a new growth point under the influence of a series of policies on low-carbon tourism in Shandong Province. In order to effectively assess the performance of new quality productivity empowerment to promote the high-quality development of low-carbon tourism in Rizhao City, this paper utilizes the basic data of Rizhao City, China, for the period of 2013-2022, and comprehensively assesses the status of the high-quality development performance of low-carbon tourism in Rizhao City by constructing the spatial ecological niche integrated assessment model, and it is found that: the performance of the high-quality development of low-carbon tourism in the city of Rizhao City, China, which is empowered by the new quality productivity, has shown a There are some differences in the assessment results of the three models, the absolute ecological niche suitability model has the largest assessment result, the relative ecological niche suitability model has the smallest assessment result, and the assessment result of the spatial ecological niche suitability model is located in between the assessment results of the other two models with the effect of equalization, and the assessment result of the spatial ecological niche suitability model shows that the high-quality development performance of the target city's low-carbon tourism The assessment result in 2013 is 0.7783, and the quality level of low-carbon tourism high-quality development performance is III, and the assessment result in 2022 rises to 0.8972, and the quality level of low-carbon tourism high-quality development performance is II, which has already reached the edge of I. In terms of the degree of influence of the evaluation indicators, the insufficient strength of new quality productivity empowerment in Rizhao City, China, affects the performance of low-carbon tourism high-quality development, and the second most influential of the other guideline level indicators on the assessment results is the weak effect category.

MONITORING THE EFFICIENT USE OF THE STAFF AT THE ENTERPRISE

One of the components of the successful operation of the enterprise and its competitiveness is efficiency. It mainly depends on the level of staff efficiency. Tracking this aspect of the business is critical to the success of the enterprise. That is why the question of monitoring the effectiveness of the use of personnel is relevant. To implement the goals of the article, the following methods were used: information on the state of research in the field of effective human resource management was analyzed and synthesized. With the help of a systematic and information-logical approach, the actual directions for improving the evaluation and monitoring of the effectiveness of the use of the company's personnel have been determined. In the course of the research, analytical methods and graphical methods and the synthesis method were also widely used to build a structural scheme of stages and an algorithm for monitoring the effectiveness of personnel use. The article further developed the aspects of evaluating the efficiency of the use of labor resources, which, unlike the existing ones, include aspects of the integration of technologies into monitoring processes, the development of soft skills and the impact of the working environment on the health and well-being of employees. In addition, the structural diagram of the stages and the monitoring algorithm received further development, which, unlike the existing ones, have a more systematic nature and take into account the possibility of selecting assessment and monitoring tools depending on the monitoring stages, categories of personnel and divisions of the enterprise. The proposed improvements will optimize work processes; make informed decisions regarding hiring, firing, professional development, resource allocation, etc.; increase employee motivation; ensure the quality of products or services; satisfy the needs of customers and increase their loyalty by fast and high-quality performance of tasks; increase the company's profit. The obtained results, consisting in the development of a block diagram of stages and an algorithm for monitoring the efficiency of the use of the company's personnel, allow for further research on the specification of the elements of individual stages of monitoring, the justification of key indicators and terms by which it will be carried out, and the development of reporting forms to display the results of monitoring.

Comparative Study of Academic Library Websites Using Web Content Management Systems

This study aimed to investigate and compare the features and functionality of academic library websites built on Web Content Management Systems (CMS) at four universities in Africa. The specific objectives included examining design and layout, identifying content types and resources, assessing interactivity and engagement, evaluating accessibility and usability, and reviewing performance and maintenance. Analysis of the four websites revealed that the University of Cape Town Libraries stood out for its excellent quality in design, layout, content availability, interactivity, accessibility, usability, and performance. In contrast, the Makerere University Libraries showed areas needing improvement, particularly in design, content accessibility, interactivity, and usability. The University of Pretoria Libraries exhibited high-quality performance across all categories, ensuring a positive user experience. Meanwhile, the University of Nairobi Libraries demonstrated potential for enhancement in design, interactivity, and accessibility, while maintaining strong performance and security. Based on these findings, several recommendations were made to enhance the websites' quality and user experience. For Makerere University Libraries, suggestions included improving design and layout, addressing content gaps, implementing accessible forums, and enhancing responsiveness. For the University of Nairobi Libraries, recommendations focused on improving design, providing accessible resources, incorporating online chat or forums, and enhancing overall accessibility and usability.

TO MEET AND CONTINUE ON THE SAME LINE The Új Symposion writer’s attitude to Antun Šoljan’s literary concept

The Croatian author Antun Šoljan (1932–1993) came to the attention of the emerging generations of writers and artists in Vojvodina in the first half of the 1950s. His sensibility as a poet, storyteller, and literary translator, as well as his activity as a newspaper editor and his commitment as a critic, influenced the Symposion generation mostly by encouraging them to follow in his steps, but also by stimulating discussion. My article discusses the multi-directional reception of this attitude, which regards high-quality aesthetic performance and commitment as a function, not of social status, but of free artistic creation, detailing those mutual ideological reference points, connections, or collision surfaces, that are characterized by intellectual self-representation that avoids the false heroism of national myths and continuity of tradition freed from the manic import and/or epigonism of recent trends in world literature.

FONDUE: Robust resolution-invariant denoising of MR Images using Nested UNets

Abstract Recent human magnetic resonance imaging (MRI) studies continually push the boundaries of spatial resolution as a means to enhance levels of neuroanatomical detail and increase the accuracy and sensitivity of derived brain morphometry measures. However, acquisitions required to achieve these resolutions have a higher noise floor, potentially impacting segmentation and morphometric analysis results. This study proposes a novel, fast, robust, and resolution-invariant deep learning method to denoise structural human brain MRIs. We explore denoising of T1-weighted (T1w) brain images from varying field strengths (1.5T to 7T), voxel sizes (1.2mm to 250µm), scanner vendors (Siemens, GE, and Phillips), and diseased and healthy participants from a wide age range (young adults to aging individuals). Our proposed Fast-Optimized Network for Denoising through residual Unified Ensembles (FONDUE) method demonstrated stable denoising capabilities across multiple resolutions with performance on par or superior to the state-of-the-art methods while being several orders of magnitude faster at low relative cost when using a dedicated Graphics Processing Unit (GPU). FONDUE achieved the best performance on at least one of the four denoising-performance metrics on all the test datasets used, showing its generalization capabilities and stability. Due to its high-quality performance, robustness, fast execution times, and relatively low-GPU memory requirements, as well as its open-source public availability, FONDUE can be widely used for structural MRI denoising, especially in large-cohort studies. We have made the FONDUE repository and all training and evaluation scripts as well as the trained weights available at https://github.com/waadgo/FONDUE.

An empirical study of the level of corruption intolerance among the employees of the Ministry of Internal Affairs

ObjectivesThe report presents the objective need to measure the level of corruption intolerance in the public sector and its importance for the formation of specific behavior aimed at the observance of important value principles in the performance of official duties in the public sector. The activity of the state administration should justify society's expectations of professional competence, legality, loyalty, correctness and responsibility. That is why corruption intolerance can be accepted as a factor for measuring the quality of activity in the public sector. The empirical research on the corruption intolerance in the Ministry of the Intenal Affairs is an important indicator for the efficiency of the system.MethodsThe scientific methodology used is a combination of a theoretical review of the issue, a critical scientific review and the presentation of new scientific advances in the measurement of corruption intolerance.ResultsThe rates of corruption intolerance in the Ministry of Internal Affairs are satisfactory.ConclusionsThere is an objective need to maintain a high level of motivation and effectiveness of training to achieve high-quality professional performance of official duties among the employees of the Ministry of Internal Affairs. Therefore, Dynamic socio-economic changes necessitate a new approach to the problems of measuring the corruption intolerance.

Effects of Stretch-Bending Straightening on the Tensile Properties of Cold Rolled Packaging Steel

Achieving perfect flatness, tension-free surfaces, and exceptional resistance to spring back are important characteristics of packaging steel, setting the standard for high-quality material performance. To guarantee these crucial parameters, the implementation of the stretch-bending process at the final stage of the production route is indispensable. Besides improving the flatness properties, the induced plastic deformation results in an accompanying change in the mechanical properties. This investigation focuses on understanding this change in mechanical properties due to different stretch-bending straightening process parameters. A multivariate predictive model is created to calculate a process window for achieving the desired flatness and also mechanical properties in the production of packaging steel. This model is validated by experiments with a laboratory facility.

High thermally stable and efficient rare-earth celsian by phase transformation of Ba2+-Exchanged SOD zeolite

The white LEDs with high performance and excellent luminous quality is of high importance for developing the current lighting industry, and high thermally stable blue phosphors play a critical role in the preparation of white LEDs. Herein, we reported a facile way to obtain highly efficient blue Eu2+-doped celsian phosphor with excellent thermal stability by a phase transformation of Ba2+-exchanged SOD Zeolite strategy. The structure of phosphors changed from nepheline to celsian with the doping of Ba2+, and the maximum emission intensity blue-shifts from 550 nm to 450 nm under the excitation of 370 nm. The PLQY is determined to be 56 %, 96 % and 82 % for the phosphor with Ba2+ doping concentration being 0, 1.49 and 1.86, respectively, and the luminescence intensity at 423 K is can be 80 %, 102 % and 93 % of its intensity at room temperature. Finally, the package of the LED device based on our yellow and blue phosphors together with the commercial red CaAlSiN3:Eu2+ phosphor is constructed to show warm white light with the CCT of 3705 K and a high CRI of 97.7. This study provides a facile way for obtaining satisfactory phosphors for high-quality lighting.