Process In Order Research Articles

On autoregressive processes with Lindley-distributed innovations: modeling and simulation

In this paper, we develop an autoregressive process of order one, assuming that the innovation random variable has a Lindley distribution. The key properties of the process are investigated. Five distinct estimation techniques are used to estimate the parameters and simulation studies are conducted. The stationarity of the process is tested using a unit root test. The application of the proposed process to the analysis of time series data is demonstrated using real data sets. Based on some important statistical measures, the analysis of the data sets reveals that the proposed model fits well, and the errors are independent and Lindley-distributed.

Structural color of metallic glass through picosecond laser

Abstract The alteration in surface color of metallic glasses (MGs) holds great significance in the context of microstructure design and commercial utility. It is essential to accurately describe the structures that are formed during the laser and color separation processes in order to develop practical laser coloring applications. Due to the high oxidation sensitivity of La-based metallic glass, it can broaden the color range but make it more complex. Structure coloring by laser processing on the surface of La-based metallic glass can be conducted after thermoplastic forming. It is particularly important to clarify the role of structure and composition in the surface coloring process. The aim is to study the relationship between amorphous surface structural color, surface geometry, and oxide formation by laser processing in metallic glasses. The findings revealed that the periodic structure primarily determines the surface color at laser energy densities below 1.0 J/mm2. In contrast, the surface color predominantly depends on the proportion of oxides that are formed when energy densities exceed 1.0 J/mm2. Consequently, this study provides a novel concept for the fundamental investigation of laser coloring and establishes a new avenue for practical application.

Enhancing Manufacturing Quality Through Statistical Process Control

In the manufacturing industry, statistical process control, often known as SPC, is a strong instrument that can improve both the quality of the product and the efficiency of the process. It comprises the utilization of statistical approaches for the purpose of monitoring and controlling a process in order to guarantee that it functions effectively and generates products that are of a consistently high grade. The statistical process control (SPC) method enables producers to identify variances, trends, and irregularities that may have an impact on product quality. This is accomplished by collecting and analyzing data from the production process. It is possible for manufacturers to discover and rectify problems in real time with the assistance of statistical process control (SPC), which is accomplished through the utilization of control charts, process capability analysis, and other statistical approaches. This results in decreased waste, greater productivity, and increased customer satisfaction. This article examines the fundamentals of statistical process control (SPC), as well as its application in manufacturing environments and the advantages it offers in terms of improving both product quality and process performance.

Creation and functioning of the information-rich space of biological and ecological education of the Technopark "Quantorium" in the conditions of integration of interaction between schools and pedagogical University

The publication reflects the solution of the task of creating a Technopark space functioning on the basis of the latest information, communication and IT technologies for the implementation of modern biological and environmental education in the school-university system using the resources of the Quantorium Technopark. The authors of the study discuss the importance of integrating modern technologies and resources into the educational process in order to increase the effectiveness of learning and the practical applicability of knowledge in this field. The purpose of the article is to describe the concept of an information–rich technological space of biological and environmental education and the principles of its implementation on the basis of the Technopark “Quantorium”. The research methodology is based on the principles of developing training courses and educational and methodological support for them, involving the preparation of educational programs designed to implement innovative methods and the latest technologies in the field of biology, bioengineering, biotechnology and ecology; the use of laboratory and practical work, as well as large-scale application of biological and environmental experiments based on the use of technical resources of the Technopark. The results of the study. The paper analyzes in detail the main components of the technological information-rich space, including information systems, equipment and software used to develop training courses and laboratory work on environmental and biological topics. The role of the Technopark “Quantorium” as a center for innovation and support of educational projects, contributing to the introduction of modern educational technologies, is also considered. In their article, the researchers present the concept of an innovative information-rich space for the practical implementation of biological and environmental education. It is based on the multidisciplinary integrated application of all the resources of the Technopark “Quantorium”. The implementation of this concept will create an effective and innovative information and educational environment for school students and pedagogical university students, contributing to the development of environmental awareness and the training of qualified specialists in the field of ecology and biology.

Innovative solutions to frontier exploration in Eastern Mediterranean salt basins

The Eastern Mediterranean region is expected to hold large undiscovered natural gas resources that could address critical energy supply needs of the surrounding countries. However, exploration is challenged due to regional geologic complexities. The combination of Messinian salt structures and diapiric shales in offshore Cyprus and Egypt often causes strong attenuation of seismic energy and severe seismic imaging illumination shadows, which lead to large uncertainty regarding subsalt reservoir presence and the underlying petroleum system assessment. As part of the efforts to solve these imaging challenges, we present innovative seismic acquisition solutions to address key exploration risks such as reservoir presence. A one-sided wide-azimuth configuration consisting of one streamer vessel and one dedicated source vessel operating under the simultaneous-source mode was used to acquire data in a cost-effective way. An 8000 in3 low-frequency source was used on both vessels to provide higher energy output in the low-frequency bands of less than approximately 4 Hz. Our preliminary results show evidence of seismic image uplift due to enhanced acquisition and processing, leading to greater confidence in interpretation, which is critical for positioning wells in future drilling campaigns. This paper highlights seismic testing results undertaken to design a large exploration-scale seismic survey in the Eastern Mediterranean and early results from the execution of that program. This will help better refine optimal design criteria for future acquisition, signal processing, and imaging in order to unlock additional resources beneath complex salt provinces and identify where additional imaging needs still exist.

QR-based Canteen Management System

In recent years, the digitization of administrative and operational processes has transformed various sectors in the world, including food service management. This research presents the development and implementation of a QR-based canteen management system, designed to enhance the efficiency of canteen operations by leveraging contemporary technological advancements. The system employs a desktop application built with C# and the .NET framework, enabling users to order and pay for food items using a QR code-based login and cashless payment system. This solution addresses the inefficiencies of traditional pen-and-paper-based canteen management by automating order processing, payment, and sales record maintenance. The primary objective is to streamline canteen operations, reduce service time, and improve customer satisfaction through a user-friendly and reliable system.

Analysis of the Application of Accounting Information Systems in the Revenue and Cash Receipts Cycle (Case Study of the Company PT. ASM)

PT. ASM is a research, development and consulting services company that has the main objective of assisting in the implementation of Domestic Component Level (TKDN) certification for a product. This study aims to determine how the application of accounting information systems related to the revenue and cash receipt cycle before and after PT ASM uses web-based applications in order processing, and measuring the effectiveness. This study uses a descriptive qualitative approach with a case study research type. The results of the study indicate that web-based applications as one of the improvements to accounting information systems that have been effectively implemented to minimize obstacles in order processing, but have not been fully effective in reducing the overall order completion time significantly.

Bobcat Optimization Algorithm: an effective bio-inspired metaheuristic algorithm for solving supply chain optimization problems

Supply chain efficiency is a major challenge in today’s business environment, where efficient resource allocation and coordination of activities are essential for competitive advantage. Traditional efficiency strategies often struggle for resources for the complex and dynamic network. In response, bio-inspired metaheuristic algorithms have emerged as powerful tools to solve these optimization problems. Referring to the random search nature of metaheuristic algorithms and emphasizing that no metaheuristic algorithm is the best optimizer for all optimization applications, the No Free Lunch (NFL) theorem encourages researchers to design newer algorithms to be able to provide more effective solutions to optimization problems. Motivated by the NFL theorem, the innovation and novelty of this paper is in designing a new meta-heuristic algorithm called Bobcat Optimization Algorithm (BOA) that imitates the natural behavior of bobcats in the wild. The basic inspiration of BOA is derived from the hunting strategy of bobcats during the attack towards the prey and the chase process between them. The theory of BOA is stated and then mathematically modeled in two phases (i) exploration based on the simulation of the bobcat’s position change while moving towards the prey and (ii) exploitation based on simulating the bobcat’s position change during the chase process to catch the prey. The performance of BOA is evaluated in optimization to handle the CEC 2017 test suite for problem dimensions equal to 10, 30, 50, and 100, as well as to address CEC 2020. The optimization results show that BOA has a high ability in exploration, exploitation, and balance them during the search process in order to achieve a suitable solution for optimization problems. The results obtained from BOA are compared with the performance of twelve well-known metaheuristic algorithms. The findings show that BOA has been successful in handling the CEC 2017 test suite in 89.65, 79.31, 93.10, and 89.65% of the functions for the problem dimension equal to 10, 30, 50, and 100, respectively. Also, the findings show that in order to handle the CEC 2020 test suite, BOA has been successful in 100% of the functions of this test suite. The statistical analysis confirms that BOA has a significant statistical superiority in the competition with the compared algorithms. Also, in order to analyze the efficiency of BOA in dealing with real world applications, twenty-two constrained optimization problems from CEC 2011 test suite and four engineering design problems have been selected. The findings show that BOA has been successful in 90.90% of CEC2011 test suite optimization problems and in 100% of engineering design problems. In addition, the efficiency of BOA to handle SCM applications has been challenged to solve ten case studies in the field of sustainable lot size optimization. The findings show that BOA has successfully provided superior performance in 100% of the case studies compared to competitor algorithms.

The Kurdish Translation of English Collocations in Shakespeare’s the Tempest

Collocations have always been an area of interest for linguists. They study this phenomenon in both translation and language dimensions. The way of using collocations in a source text and the way of translating them are important keys to indicate a text’s linguistic, stylistic and cultural features. It is beyond doubt that collocations are essential word combinations that enhance the pragmatic appeal of a text. More specifically, literary authors use collocations to make the language of their literary works more figurative. Therefore, translators need to be careful enough during their translation process in order to preserve the uniqueness of a language. The present article aims to study those English collocations in literary texts that are translated into Kurdish. To achieve the objective of the study, the researcher takes account of William Shakespeare’s famous play (The Tempest) that is translated into Kurdish by Dr.Azad Hama Sharif who is a famous Kurdish translator. For the same purpose 59 collocations that are used in that literary work are chosen to be the data of the study. Then the selected collocations are classified according to the strategies that are used to translate them. Moreover, the frequency of using each strategy is also presented. The article explores an explicit analysis of translating those collocations from the source into the target language by using Vinay and Darblen’s model of translation. It also delineates that claque is the most used translation strategy and modulation is the least used strategy.

The issue of interconnections and mutual influence of digital transformation in international trade: How digitization affects customer satisfaction?

This research aims to investigate the relationships and mutual influence between the digitalization of international trade and customer satisfaction in the context of the post-COVID-19 economy. To achieve this objective, a comprehensive research project has been developed, involving a quantitative approach that combines the advantages of experiments and surveys. Customer satisfaction was assessed based on key service quality parameters in the SERVQUAL model. The study involved 4 stores operating on the AliExpress international trading platform. The sample included a total of 3796 customers. The research findings confirmed the impact of digitalization on customer satisfaction in international trading operations across nearly all dimensions of the SERVQUAL model. The implementation of basic digital innovations substantially enhanced reliability, order processing and delivery speed, product packaging, and the process of selecting and ordering goods, as well as the regularity of notifications and data security. However, the introduction of a chatbot significantly reduced customer satisfaction with the provision of additional information, leading to a decrease in customer empathy. The academic contribution of this study lies in its ability to complement and expand the scientific understanding of the impact of digitalization on customer satisfaction in international trade in the post-COVID-19 era. The study demonstrated that not all digital innovations are perceived equally positively by customers and do not necessarily lead to increased satisfaction. Accordingly, the practical outcome of this research is the empirical confirmation of the need to test customer satisfaction when implementing digital innovations.

Orderly and synergistic development of urban-rural integration based on evolutionary game model: A case study in the Jiangxi Province, China

The orderly synergy is crucial to the integrated development of urban and rural areas in China. The orderly synergistic development process can be regarded as a game of balancing the interests of rural and urban areas. Therefore, numerical simulations with scenario analysis using the evolutionary game approach are conducted to investigate the orderly synergistic development of urban-rural integration. The results show that: (1) The values of orderly synergistic benefits of urban-rural integration are negatively correlated with the Nash equilibrium values at the municipal and provincial levels. (2) The orderly synergistic benefits of policy and market environments have different strategic choices and behavioral constraints for both urban and rural areas. (3) The benefits of “market-oriented” urban-rural choices are greater than those of “policy-oriented” directions. At the municipal level, the main factors influencing the choice of a “market-oriented” direction are the increased benefits of water resources, land resources, rural population mobility, and urban innovation factors. while at the provincial level, all factors lead to urban-rural trends in a “policy-oriented” direction.

Thermal modeling and simulation applied to novel microwave hybrid heating process

Owing to the unique encouraging characteristics of microwave hybrid heating, primarily volumetric heating, and additional potentials such as being repeatable, quick, economical, and green; it has been utilized in various processing techniques. The efficient joining of mild steel pipes through microwave hybrid heating in a multimode applicator at 2.45 GHz and 900 W for an operational time of 480 s has already been performed. The modeling and simulation of the process have been performed in this research paper as the numerical analysis of the working environment is crucial for evaluating various aspects of a technique, decreases process-design cycle time, and found to be more economical than experimental trials. The numerical analysis provides in-depth insight-taking into consideration of the electromagnetic field distribution, its interaction with the materials, heat generation and transfer, along with the thermal analysis of the experimental assembly, in addition to the comprehensive parametric analysis. The numerical model of the assembled set-up was developed in order to simulate a real-life heating environment by solving electromagnetic and heat transfer equations and providing analytically predicted results with an accuracy of 3.75% against the experimental results. The analytical modeling and simulation have been strategically fragmented into three phases which are pre-processing, processing, and post-processing phase and elucidated extensively, providing a systematic working of the analytical model. This research will be utilized further in optimizing the microwave hybrid heating process in order to make it time-efficient and inexpensive for its applications to industrial environments.

Development of an Austrian HL7 Member FHIR IG Supporting Medication Ordering, Prescription and Dispense Processes.

The Austrian research project Linked Care explored digitalization in mobile care, focusing on streamlining the medication process to save nursing staff time. A FHIR R5-based workflow was developed to support medication ordering by nurses, prescriptions by practitioners, and dispensing by pharmacies. Key FHIR resources were profiled and published in an HL7 Austria Member Implementation Guide (IG). The IG includes specifications and technical details for implementation and was the first member-contributed IG approved by the HL7 Austria FHIR community in early 2024. These specifications are now being implemented and will be tested in late 2024.

Penerapan Metode Design Thinking untuk Perancangan UI/UX Website MARQETIQ

In the rapidly evolving digital era, the digital marketing service industry in Indonesia faces the challenge of providing more effective and relevant solutions amid intense competition. This research utilizes the Design Thinking methodology to develop the UI/UX of the MARQETIQ website, aiming to enhance user experience by offering digital marketing services tailored to clients' specific needs. Through the five stages of Design Thinking: Empathize, Define, Ideate, Prototype, and Test. The researchers gained deep insights into user needs, formulated key problems, and created and tested innovative design solutions. The research findings indicate that this approach successfully resulted in a more intuitive and responsive website, facilitated the ordering process, and improved client satisfaction and loyalty. These findings demonstrate that applying the Design Thinking approach can significantly enhance user experience and the relevance of services in a digital marketing platform..

Evaluation of computer aided design (CAD) systems and their usage efficiency in Türkiye furniture industry

Computer-aided design (CAD), briefly refers to the utilization of computers to ensure quality and efficiency in design. CAD systems developed in the 1960s in the United States and their consequent application in all developed countries was discussed, focusing on making these systems more effective in the industry and evaluating their implementation conditions in the Turkish furniture sector. Accordingly, the objective of this current research is to summarize the effectiveness of CAD systems in the 2000s while evaluating current applications and their future impacts. In the 2000s, CAD systems required significant labor, hardware, and software support. In the current globalized world, CAD systems have become even more user-friendly with the support of artificial intelligence (AI), alongside more effective applications. The research employed face-to-face survey methods, focusing on large-scale furniture enterprises in the Marmara region. The results were evaluated using SPSS software and reliability tests. In the 2000s, approximately 25% of Turkish furniture enterprises expected CAD systems to shorten the design process, improve product quality, and enhance demand and order fulfilment times. Evaluations of today's enterprises indicate that these expectations remain. Many furniture enterprises in Türkiye utilize integrated software with CAD systems in handling orders. Approximately 46% of Turkish furniture enterprises report efficient use of these programs, while the remaining 54% cite a lack of trained personnel as the reason for inefficient use. CAD applications have contributed to the development of Turkish furniture enterprises. With CAD applications, the order process has decreased by 57 %, and production has increased by 34%. This research aims to provide insights into the current state and future potential of CAD systems in the sector by examining the developments and transformations over the past two decades.

Abstract 2: Reduction of Laboratory Supply Costs and Streamlining of Ordering Process

Abstract 2: Reduction of Laboratory Supply Costs and Streamlining of Ordering Process

Implementasi Pelaksanaan Administrasi Kesiswaan dalam Meningkatkan Mutu Pendidikan di MIN 4 Sukoharjo

This study examines the implementation of the student administration that exists at MIN 4 Sukoharjo. Student administration is a service provided by the school to the student participant. The student administration at MIN 4 Sukoharjo covers new student admission programmes, new student appointment, implementation of school order in an effort to improve student discipline, and the execution of competition participation from the school level to the international level. The research uses qualitative research methods with interviews, observations, and documentation data collection techniques. The subjects in this study are representatives of the head of the student department and teachers. The results of the study show that there is implementation of student administration from the admission of new students to the graduation of students. With the existence of student administration can help the course of the process of order that exists in the school, as well as support for the enforcement of related activities between teachers and students including the inclusion of a race to measure the level of students' ability inside and outside the school.

The evolution of artificial intelligence on nursing education in China

The incorporation of artificial intelligence (AI) in nursing education is a major innovation that has the capacity of changing the practices in the classroom as well as improving the learning outcomes. AI technologies such as machine learning, neural networks, natural language processing, and computer vision enable AI systems to perform intelligent functions like knowledge acquisition, problem-solving, and decision-making. These technologies are most useful in healthcare as they organize and provide insights from large clinical and patient records in decision making processes in order to improve health care. Nevertheless, the following issues are some of the challenges that need to be considered for proper implementation of AI in the Nursing Education especially in China. These are issues such as technological requirements, information security, and other petty issues including the issue of ethics as well as issues of the resistance that is likely to be encountered from the practitioners in the field, students included. However, the prospects of AI, XR, and VR technologies in improving the delivery of nursing education and equipping students with adequate preparation to work in today’s advanced health systems cannot be underestimated.

The Transformation of Senkatana

The research question in this article is to trace how the legend of Senkatana was transformed first into a drama and then into a tragedy. The methodology that is applied is to compare the salient features of the legend, the drama, and then the tragedy. An overarching finding is that the playwright developed a number of transformational processes in order to transform the essence of the plot, the number and line-up of characters as well as the drama’s structure. A second overarching finding concerns the medium of delivery where an originally orally narrated legend is transformed into a drama text written for performance on a stage before an audience. The third finding applies to the transformation of the character of Senkatana. This happens on a transcendental level when the legendary hero and king dies and becomes a deity after death—an instance of transformation that leads to transfiguration. A concluding finding is that several contemporary contextual readings of Mofokeng’s classic are possible.

Using a Mathematical Model to Evaluate the Efficiency of Memory Allocation Algorithm

One of the key research areas in operating systems is memory allocation and process management by the operating system. Memory allocation is the process of allocating blocks of memory to different executing processes in order to improve overall system performance. This paper analyses the efficiency of memory allocation algorithms (first fit, best fit and worst fit) in the multiple partition and contiguous memory allocation scheme. A Mathematical model was used on process sizes in terms of percentage internal fragmentation (IF%), percentage external fragmentation (EF%), and percentage total utilization (TU%), this was done to compare the performance of the memory allocation algorithm. Results from the analysis show that the best fit made more efficient use of the available memory space than that of first-fit and worst fit.