Quality Of Guarantees Research Articles

Real-Time Temperature Prediction Model for Online Continuous Casting Control Using Simplified Boundary Condition Computing Method

Numerical process modeling of continuous casting is increasingly applied to optimize production practices for higher product quality guarantees, in which real-time temperature prediction is the key factor that makes it possible to observe and optimize the solidification behavior of the continuous casting process. For offline simulations, the completeness of boundary conditions and accuracy of calculation are core concerns; as for online control, the stability of the model calculation and the correctness are equally important. This study demonstrates a process tracking and online control model of continuous casting based on IoT technology and proposes a simplified calculation method for secondary cooling boundary conditions. The proposed method calculates a comprehensive heat transfer coefficient based on offline simulated parameters and computes the total heat flux of a secondary cooling zone. The experimental results show that the temperature field calculated by this method is stable, and the difference between the actual measured temperature is within an acceptable range of 15 °C. The proposed method no longer requires an online model to consider four types of heat transfer boundary conditions, improving the versatility of the online model. The smoother surface temperature curve is beneficial for dynamic control of secondary cooling water. It can be an alternative method for implementing a more conducive online continuous casting model.

Rapid and Simultaneous Detection of Petroleum Hydrocarbons and Organic Pesticides in Soil Based on Electronic Nose.

The rapid detection of petroleum hydrocarbons and organic pesticides is an important prerequisite for precise soil management. It is also a guarantee for soil quality, environmental safety, and human health. However, the current rapid detection methods are prone to sample matrix interference, complex development processes, short lifespan, and low detection accuracy. Moreover, they face difficulties in achieving simultaneous detection of petroleum hydrocarbons and organic pesticides. In this paper, we developed an electronic nose system for the simultaneous detection of petroleum hydrocarbons and organic pesticides in soil based on gas technology, which includes a sampling module and recognition model. The developed sampling module can simultaneously acquire the odor signals of petroleum hydrocarbons and organic pesticides in soil. The established recognition model can quickly distinguish between healthy soil, soil contaminated by petroleum hydrocarbons, and soil contaminated by organic pesticides. It can also achieve specific recognition of pesticide types and petroleum types. The performance of the developed electronic nose system was verified for real soil, petroleum products, and organic pesticides. The experiment shows that the developed electronic nose system has an accuracy of 100% for three tasks: soil conditions identification, pesticide types identification, and petroleum types identification.

Teaching Practice to Enhance Safety Awareness of Students in Welding Processing Professional Training

As an important part of cultivating students’ practical skills, the safety of welding processing professional training cannot be ignored. Students' safety awareness is directly related to their training effectiveness and personal safety in complex environments such as high temperatures, high pressure, and harmful gasses. Therefore, enhancing students' safety awareness in welding processing professional training is not only a guarantee of teaching quality but also a responsibility for students’ life safety. This article will explore effective teaching strategies and practical methods based on this. By strengthening safety education, simulating real-scene drills, and building a safety culture, we can comprehensively enhance students’ safety awareness and self-protection abilities, escorting their professional growth.

CURRICULUM ADAPTATION FOR STUDENTS WITH SPECIAL EDUCATIONAL NEEDS

This article addresses a topic that is relevant to the present day and of paramount importance for regular schools, which is curricular adaptation for students with special educational needs, discussing the importance of specific training for teachers in regular schools who receive inclusive education students. To guarantee quality education. Its objective is to discuss how to promote social inclusion and at the same time guarantee quality education and guarantee equity, since the audience for special education has been increasing in regular schools. Therefore, curricular adaptation, appropriate strategies and methodology are extremely necessary, but this specific audience needs a more in-depth look on the part of the teacher. In this sense, it is observed that there is a need for continued training of teachers to guarantee quality education to all students without distinction.

Development of the regulatory framework for landscape architecture

Good regulation is anchored on sound professional basis, guarantees quality and protects heritage, while leaving room for design creativity and public interest. This review of the regulatory system for landscape architecture over the last 40 years aims to show how far these guarantees have been achieved. Landscape architecture as a technical and scientific discipline is subject to engineering regulations and legislation related to several areas of heritage protection. The legal instruments for the scope of tasks of the profession, which is diverse and multiscale, are presented in terms of the strategic framework, the spatial, local and architectural-technical planning, the protection of natural and cultural heritage as well as the regulatory system for the professional license.

Efektivitas Akreditasi Sekolah sebagai Upaya Meningkatkan Mutu Pendidikan

Considering that Indonesian education is currently still lagging behind many other countries. Efforts must be made immediately to improve education standards in Indonesia in order to have equal competitiveness with other countries. So that all schools must carry out accreditation as a guarantee of quality. Aims to analyze the role of school accreditation as an effective evaluation tool for improving the quality of education in Indonesia. This research is categorized into literature research which is a series of studies related to library data collection methods through various information. The National Accreditation Board for Madrasah Schools (BAN-SM) is one of the accreditation institutions in Indonesia. In general, the flow of accreditation mechanisms can be implemented through target setting, visitation, validation, verification and determination of results and accreditation certificates. Schools also carry out accreditation follow-up as evaluation material for the development of the school. There are also several challenges and obstacles to accreditation along with solutions that can be taken. Quality assurance of education is very important to ensure quality education as an effort to produce quality human resources. Therefore, it is very important to carry out school accreditation as a strategic step to maintain the quality of education that is evenly distributed throughout the country.

How do celebrities enhance their image through luxury brand endorsements in the era of fan economy? Taking Jackson Wang as an example for LV

With the popularity of social media and the Internet, fan economy has gradually become an important force to promote the development of the entertainment industry and luxury market, playing an important role in celebrity endorsement of luxury brands. As public figures, celebrities have a highly contagious image and influence among their fan base. The love and support of fans bring considerable market returns to the brand, while also deepening fans' love and recognition of celebrities. This emotional connection based interaction further consolidates the celebrity's position in the hearts of fans, enhances their overall image, and makes endorsements more persuasive. Luxury brands are a symbol of status and a guarantee of quality, attracting the attention of global consumers with their unique brand value, exquisite craftsmanship, and high-end positioning. The selection of their spokespersons is particularly crucial. Celebrity endorsement of luxury brands is undoubtedly a win-win choice. When partnering with luxury brands, not only can it bring increased exposure and market share to the brand, but it can also further enhance the image and status of celebrities, laying a more solid foundation for their future development.

ANALYSIS OF THE REGISTRATION OF A LEGAL ENTITY NAME SUBSTANTIALLY SIMILAR TO THE REGISTERED TRADEMARK "CHANTIQUE"

Over time, trademarks have come to play a significant role in businesses established by entrepreneurs. A trademark is defined as a graphical representation that can take the form of a logo, number, or letter. The presence of a trademark in a business provides a guarantee of quality and adds unique value that attracts consumers. However, it is not uncommon for other business actors to imitate trademarks in order to reap substantial benefits. Such actions are deemed unlawful as they harm other entrepreneurs striving to develop their businesses, thereby necessitating legal protection for the affected business actors. The type of research used is normative juridical research. Normative juridical research utilizes secondary data sources as well as legal book. The normative juridical research method is a legal research approach based on legal literature, legal books, and secondary data. Legal protection for trademarks is outlined in Law Number 20 of 2016 on Trademarks and Geographical Indications. According to this regulation, the process of registering a trademark must meet several requirements: it must possess distinctiveness, comply with statutory regulations, be publicly owned, and bear no direct relation to the goods or services being registered. These requirements must be fulfilled by entrepreneurs who wish to register their trademarks. Moreover, Indonesia adheres to a constitutive trademark registration system, where the individual with full rights to a trademark is the one who first registers it commonly referred to as the "first to file" principle. The purpose of this study is to examine the regulations and legal protections for legal entities that bear similarities to a registered trademark.

Application and Challenge of Edge Computing Based on 5G Communication in Information and Communication Systems

With the rapid development of information technology, 5G communication technology has gradually entered real life, among which the application of edge computing is particularly significant in the information and communication system field. This paper focuses on using edge computing based on 5G communication in information and communication systems. First, the study analyzes the importance of combining edge computing technology with 5G communication technology, and its advantages, such as high efficiency and low latency in processing large amounts of data. The study then explores multiple application scenarios of edge computing in information and communication systems, such as integrated use in the Internet of Things, intelligent transportation, telemedicine and Industry 4.0. The research method is mainly based on theoretical analysis and experimental verification, combined with the characteristics of the 5G network to optimize the edge computing model and test the performance of edge computing in different scenarios through experimental simulation. The results show that edge computing significantly improves the data processing capacity and response speed of ICS in a 5G environment. However, there are also a series of challenges in practical application, including data security and privacy protection, the complexity of resource management and allocation, and the guarantee of quality of service (QoS). Through the case analysis and problem analysis, the paper puts forward the corresponding solution strategies, such as strengthening the data security protocol, introducing the intelligent resource scheduling system and establishing a multi-dimensional service quality monitoring mechanism. Finally, this study points out that the deep integration of edge computing and 5G communication will continue to promote the innovative development of information and communication systems, which has a far-reaching impact and important practical significance for promoting the transformation and upgrading in the field of information technology.

Method of designing a cyber-resilient information and communication network

The proposed method for designing a cyber-resilient information and communication network (ICN) is based on solving an optimization problem related to the mutually coordinated calculation of various control variables responsible for choosing the network topology; the order of connecting access networks to ICN core routers; determining the characteristics of the equipment used in terms of its performance and security level; determining the order of routing packet flows. The method assumes that the locations of the probable placement of network routers are known in advance. Due to the synthesized mathematical model, the method provides not a sequential but a simultaneous solution to the primary design tasks, which significantly affects the level of efficiency of the final solutions. The mathematical model on which the developed design method is based is mostly linear. Only the conditions for preventing the overloading of communication links (router interfaces) are non-linear. The cyber resilience of design solutions is ensured by the fact that in the objective function to be minimized, the weighting coefficients, along with cost and quality of service indicators, should also consider network (information) security indicators – the compromise probability or information security risks of network equipment. This will make it possible to synthesize a network with specified or predicted cyber resilience indicators. Prospects for further research in this area are related to the introduction of a mathematical model and a method for designing conditions for ensuring guaranteed quality of service, which will allow only the requirements for the level of cyber resilience to be taken into account at the level of the optimality criterion. On the other hand, an attempt to move to a linear version of the conditions for preventing communication link overload is a certain direction of model improvement, which will somewhat reduce the computational complexity of calculations related to the determination of a large number of control variables.

Halal Guarantee System for Bottled Drinking Water (AMDK) Production of Al-Falah Bangakalan Copontren in View of Has 23000

The need for halal products is very urgent at the moment, especially regarding Muslim consumers in Indonesia. In an effort to improve the Islamic boarding school economy, the government launched the "One Islamic Boarding School, One Product" (OPOP) program, to support halal products. Al-Falah Bangkalan Islamic Boarding School is working on the Islamic boarding school business, by producing Bottled Drinking Water (AMDK) under the Kepank brand. Even though water in fiqh is considered holy and halal, even though it has undergone a filtering process, it requires a halal test to make it safe for consumption, especially for Muslim consumers. This writing examines the implementation of the Halal Guarantee System (SJH) in Kepank AMDK products produced by the Al-Falah Islamic Boarding School, Bangkalan. According to incidents in the field, Islamic boarding schools do not pay attention to halal quality guarantees in accordance with HAS 23000. AMDK producers are starting to realize this need and are trying to implement SJH in every production. This writing uses a descriptive qualitative method. Data collection techniques are taken from primary and secondary data. Data collection techniques were obtained from observation, interviews and documentation. The results of this writing show that the HAS that has been determined in HAS 23000; includes halal management, employee training, as well as halal processing and storage procedures that Kepank AMDK has met standardization, sterilization and components in HAS 23000 as a whole in the SJH process, Kepank AMDK is assisted in the certification process by the halal center of Madura Trunojoyo University and has received halal certification from BPJPH in 2024.

A new cause-mechanism independence estimation based cross-domain learning method for machining deformation prediction

Monitoring data-based machining deformation prediction is fundamental for accurate deformation control and product quality guarantee. For problems where involved unobservable variables like residual stress that can lead to data distribution bias, causal cross-domain learning methods have prominent advantages over other pure data-driven methods by shifting cause distributions and mechanisms. However, existing causal methods are based on the hypothesis that cause and mechanism are independent, which ignores the corresponding changes of mechanism across domains and can limit accuracies. This paper proposes a new causal cross-domain learning method based on cause-mechanism independence estimation, where the hypothesis is broken by taking the dependence of cause and mechanism into consideration. A cause-mechanism independence estimator is established by introducing the structural integral of mechanism derivative multiplies cause distribution, and the estimation value can measure the cross-domain changes of mechanism. As a result, the proposed method based predicting model can make efficient distribution shifts according to the estimation. The machining of aero-engine casings is taken as a case study, and experimental results show that the proposed method could predict the deformation well with limited target domain data. Besides, the proposed method can be readily extended to other cross-domain regression problems involved with unobservable variables.

Diversified promotion: A practical analysis of Macao’s continuing education development and improvement program

Macao’s Continuing Education Development and Improvement Program aims to create lifelong learning conditions for Macao residents who have reached the age of 15 and encourage them to pursue continuing education or obtain certification to improve their personal qualities. This paper analyzes the entire implementation process of the Continuing Education Development and Improvement Program in Macao, using the traditional means of policy analysis from three perspectives. For the government, successful implementation ensures the quality of continuing education and promotes the building of a learning society in Macao. For educational institutions, this program provides residents with multiple learning pathways to meet diversified needs. For residents, it alleviates the cost pressure caused by education and promotes individual development in various aspects. However, there are still some problems in the subsequent implementation process that need to be improved, such as unclear positioning, inadequate administrative supervision mechanisms, and a weak guarantee of curriculum quality.

Decoding wheat contamination through self-assembled whole-cell biosensor combined with linear and non-linear machine learning algorithms

The contamination of mycotoxins is a serious problem around the world. It has detrimental effects on human beings and leads to tremendous economic loss. It is essential to develop a rapid and non-destructive method for contamination recognition particularly for early alarm. In this study, the whole-cell biosensor array was constructed and employed for rapid recognition of wheat contamination by combining with machine learning algorithms. Seven key VOCs were explored through univariate coupling to multivariate analysis of orthogonal partial least squares-discrimination analysis (OPLS-DA) models. The promoters of dnaK, katG, oxyR, soxS obtained from the stress-responsive of key VOCs were fused to the bacterial operon and fabricated on the whole-cell biosensor. The constructed whole-cell biosensor array was consisted with four kinds of sensors and 18 sensor unit. The bioluminescent intensity combined with linear machine learning algorithm of partial least squares discriminant analysis (PLS-DA) and non-linear algorithms of back propagating artificial neural network (BP-ANN) and least square support vector machine (LS-SVM) were employed to establish discrimination models for mold contamination especially for early warning. The Monte-Carlo strategy was performed to generate thirty subsets for modeling to give more reliable results. As a result, the whole-cell biosensor combined with non-linear algorithm of LS-SVM was practicable for detecting mold identification for wheat early-warning with the accuracy of 97.24%. Additionally, this study provides practical and effective methods not only for wheat quality guarantee and supervision but also for other foodstuffs.

A-188 Modal Failure and Effects Analysis, FMEA methodology, as a strategy to increase patient safety

Abstract Background Patient safety during the clinical care process is considered a priority in healthcare. Failure Mode and Effects Analysis (FMEA) is a proactive and systematic method of process evaluation and is used to identifying where and how each phase of the analytical process could fail allowing the detection of the causes and the effects they produce on the quality of the results that are issued. A regular use of this tool makes possible to identify the most critical steps, propose improvement strategies and evaluate their impact. The aim of the study is to evaluate applicability of the FMEA tool to identify errors in the pre analytical, analytical, and post analytical phase of a clinical laboratory as well as the main causes and effects, to reduce them by proposing improvement strategies Methods For each phase into which the laboratory activity is divided, the frequency and type of errors that are made and their final consequences on the patient are evaluated. A risk index (NPR=OxDxS) is calculated for each error considering the frequency with which it occurs (O), the ease with which it is detected (D) and the severity of the consequences on the patient (S). Values goes from 1 (rarely) to 10 (often). Improvement actions are proposed for all errors with a risk index greater than 100 and this index is re-evaluated after the implementation of that improvement measures. This same analysis is performed for three times over the last 10 years (in 2014, 2019 and 2023). Results In FMEA analysis carried out in 2014, a total of 40 errors were identified in the pre-analytical phase (63.5% of the total), 12 in the analytical phase and 11 in the post-analytical phase. 50% of the total errors detected required improvement strategies because they had an NPR≥100 value. In the 2023 evaluation, a total of 27 errors were identified in the pre-analytical phase, 10 in the analytical phase, and 5 in the post-analytical phase but only 6 required improvement strategies, which represents an 80% reduction in the most critical errors for patient safety. However, the pre-analytical phase continues to be the most critical, as it continues to account for 64% of the total errors identified, including the lack of identification of the patient or sample and the inadequate prior preparation of the patient. In analytical and post-analytical phases, the NPR values obtained in 2023 decrease significantly over analysis carried out in 2014 and its not needed to apply improvement strategies. Automation and the IT tools significantly reduce the number of errors with high NPR values, but it is undoubtedly the involvement of service professionals that makes the difference over the years. Conclusions The use of the FMEA methodological tool allows the design of appropriate indicators to detect and reduce errors in the clinical laboratory. Its application as part of a good quality control allows a continuous improvement in the laboratory process and consequently a guarantee of quality for the patient

Use of a Machine Learning based method to detect anomalous Thermoluminescence Glow Curves (TL-GC) in routine Dosimetry Services

This contribution describes the development of a set of numerical methods based on Machine Learning algorithms to generate an automated classification of experimental Thermoluminescence (TL) Glow Curves obtained routinely by Dosimetry Services. This classification will use experimental data historically recorded by Thermoluminescence Dosimeter (TLD) devices and will be based on the search for possible anomalies in the curves. The classifier tool will ease the labelling of experimental data and the detection of anomalies without previous supervision, implying an improvement in the control evaluations in Quality Guarantee Systems often implemented by Dosimetry Services. Furthermore, this study shows that each curve provides information about the status of each dosimeter, and can be used to perform unsupervised classifications of the measurements.

Strategies to Inelasticize the Halal Food Industry in Indonesia

This research has three main objectives. First, to analyze the potential and prospects of the halal food industry in Indonesia. Second, analyze the elasticity of the halal food industry in Indonesia. Finally, formulate a strategy to inelasticize the halal food industry in Indonesia. The research approach used in this study is mixed methods, which combines quantitative and qualitative research. There are several important findings in this study. First, the potential and projection of the halal food industry in Indonesia, which is based on estimates for 2021, continues to grow. Second, the factors that influence the demand for halal food in Indonesia are income, price, advertising, and halal labeling, and the highest -lowest short-term elasticity values are price elasticity, halal labeling, advertising, and income. Finally, the strategy to inelasticize the halal food industry in Indonesia is divided into two, namely priority strategies and supporting strategies. Priority strategies include: Maintain the stability of people's income; Increase production efficiency (technical efficiency and price efficiency); Improve the quality of Human Resources (HR) and technology improvement; Application of tax incentives; Improving the quality and quantity of advertising; Socialization of halal labeling; Halal certification management; Development of halal supply; Development of halal logistics. Supporting strategies consisting of Need for innovation in the development of halal food industry products; Guarantee of legal certainty and quality of halal food products; Increased ease of location and access; Service innovation; Improved facilities.

Neutral red/carbon dots photodynamic disinfectant spray for sports mouthguards cleaning and perishable foods preservation

Bacterial contamination of medical devices and food poses critical threat to mankind's health. Although some antibiotics can kill bacteria, their mis/overuse in healthcare and agriculture has brought about serious bacterial antibiotic resistance. Thus, developing a convenient and rapid sterilization method becomes increasingly important. Herein, the nanocomposite NR@CDs was synthesized by the assembly of neutral red (NR) with carbon dots (CDs). Compared with NR, NR@CDs has stronger reactive oxygen species (ROS) generation ability. NR@CDs can photodynamically destroy both gram-positive and gram-negative bacteria efficiently, and the minimum inhibitory concentration (MIC) is 45 μg mL−1. NR@CDs spray is an eco-friendly sterilizing agent, with favorable biocompatibility and water-washability properties. Just 1 min of irradiation, NR@CDs spray can quickly and accurately kill the bacteria on the surface of the mouthguards (MGs). As the NR@CDs aqueous solution sprays on cherries, it can effectively prolong the quality guarantee period of perishable foods. The present work provides an innovative strategy to solve the global bacterial contamination and antibiotic resistance problems.

Multifunctional intelligent indication labels featuring antibacterial properties based on pectin/carboxymethyl chitosan incorporated with porous microspheres loaded with anthocyanins: A new approach for salmon preservation and freshness detection

Multifunctional intelligent indication labels tend to prolong the quality guarantee period and monitor the freshness of food. In this study, indication labels were prepared with carboxymethyl chitosan (CMCS) and pectin as substrate, and porous microspheres loaded with anthocyanins (ACN@PGMs) as indicators and antioxidant as well as clove essential oil as an antibacterial agent. The interaction between pectin and CMCS and the addition of ACN@PGMs improved the physical properties and structural density of indication labels due to electrostatic complexing and hydrogen-bonding interactions, which exhibited optimal performance when the added anthocyanins equivalent was 0.25 mg/mL. Meanwhile, the water contact angle and antibacterial activity reached maximum values of 78.8 ± 2.3°, 11.8 ± 0.88 cm (E.coli), and 17.00 ± 0.71 cm (S.aureus), respectively. In addition, indication labels displayed sensitive color responses to different pH and ammonia environments. In application, labels could extend the shelf life of refrigerated salmon from 4 days to 9 days and showed significant color changes when salmon spoiled. Overall, indication labels played a positive role in extending shelf life and visual freshness detection, which could be employed in food quality evaluation and food preservation.

On the strength of Lagrangian duality in multiobjective integer programming

AbstractThis paper investigates the potential of Lagrangian relaxations to generate quality bounds on non-dominated images of multiobjective integer programs (MOIPs). Under some conditions on the relaxed constraints, we show that a set of Lagrangian relaxations can provide bounds that coincide with every bound generated by the convex hull relaxation. We also provide a guarantee of the relative quality of the Lagrangian bound at unsupported solutions. These results imply that, if the relaxed feasible region is bounded, some Lagrangian bounds will be strictly better than some convex hull bounds. We demonstrate that there exist Lagrangian multipliers which are sparse, satisfy a complementary slackness property, and generate tight relaxations at supported solutions. However, if all constraints are dualized, a relaxation can never be tight at an unsupported solution. These results characterize the strength of the Lagrangian dual at efficient solutions of an MOIP.