Process In Order Research Articles

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.

EXPERT SYSTEM DIAGNOSES VARICOCHEL DISEASE USING MAMDANI'S FUZZY LOGIC ALGORITHM METHOD

Varicoceles form when valves in the veins that run along the spermatic cord (the structure that suspends the testicles in the scrotum) prevent blood from flowing properly. Most varicocele cases occur during puberty, from the age of 15 to 25 years. If there are symptoms that are not prolonged, treatment is not necessary. However, if a varicocele causes pain, shrinkage of the testicles, impaired fertility, or swelling, surgery will be performed. Symptoms of this disease are similar to hemorrhoids and bladder stones, so it takes an expert. In the research conducted on the Expert System Application for Diagnosing Hyperthyroid Disease with the Mamdani Fuzzy Logic Inference Method, it can be concluded that the expert system can store expert knowledge from experts in solving problems diagnosing hyperthyroid disease while Mamdani fuzzy inference is used for knowledge processing in order to obtain a more accurate diagnosis conclusion. definitely with accuracy . Making the application is expected to make it easier for people to get information without having to wait for the presence of a doctor/expert for varicocele disease, and is expected to reduce or even solve existing problems.

Highly idealized models of scientific inquiry as conceptual systems

The social epistemology of science has adopted agent-based computer simulations as one of its core methods for investigating the dynamics of scientific inquiry. The epistemic status of these highly idealized models is currently under active debate in which they are often associated either with predictive or the argumentative functions. These two functions roughly correspond to interpreting simulations as virtual experiments or formalized thought experiments, respectively. This paper advances the argumentative account of modeling by proposing that models serve as a means to (re)conceptualize the macro-level dynamics of complex social epistemic interactions. I apply results from the epistemology of scientific modeling and the psychology of mental simulation to the ongoing debate in the social epistemology of science. Instead of considering simulation models as predictive devices, I view them as artifacts that exemplify abstract hypothetical properties of complex social epistemic processes in order to advance scientific understanding, hypothesis formation, and communication. Models need not be accurate representations to serve these purposes. They should be regarded as pragmatic cognitive tools that engender rather than replace intuitions in philosophical reasoning and argumentation. Furthermore, I aim to explain why the community tends to converge around few model templates: Since models have the potential to transform our intuitive comprehension of the subject of inquiry, successful models may literally capture the imagination of the modeling community.

(Invited) Architectural Refinement in Core-Shell Ni/Ni(OH)2 Nanowires Array for Enhanced Supercapacitor Performance - A Comprehensive Electrochemical and Finite Element Study

We investigated the electrochemical performance and effect of different aspect ratios of core-shell Ni/Ni(OH)2 nanowires arrayed in an asymmetric supercapacitor with graphene flakes. We created thenanowires with diameters of 35 nm, 100 nm, 150 nm and different height using electrodeposition with help of Anodic Alumina Oxide template, allowing us to regulate their dimensions accurately. We identified an intriguing trend: supercapacitor performance first rises with nanowire height, but then steadily drops when a critical threshold is reached. We used Finite Element Analysis (FEA) to corroborate our experimental results and uncover the underlying electrochemical processes in order to better explain and comprehend this phenomenon. According to the FEA simulations, the nanowire length effects the distribution and accessibility of ionic species surrounding the nanowire array, which influences the charge storage and transfer processes. Figure 1

Understanding the Reaction Processes in Li-Ion Batteries By Voltage Relaxation Analysis

The open circuit voltage (OCV) transient observed after current interruption is a very useful electrochemical signal providing crucial information about a Li-ion battery (LIB), including its state of charge and health, and kinetics of internal processes. Generally, OCV transient is divided into immediate and long-term relaxations, which are probably related to current-dependent kinetic processes and changes in the instantaneous thermodynamic state, respectively. Previous studies have attempted to analyze the pulse and relaxation voltages of LIBs under Li concentration gradients in both the electrolyte and electrode, with much success. Nevertheless, they have been limited in understanding what is really happening inside the cell in detail. This was mainly due to the fact that the experiments were performed on full cells with overlapping anode and cathode signals, which hindered the interpretation of detailed internal reactions, and for the same reason, only unsystematic phenomenological interpretations were possible. So it is necessary to separate relaxation signals from the anode and cathode for more accurate analysis. Even in a half-cell, where the signal contribution of the Li counter electrode (CE) to the overall cell signal is believed to be very small, the degree of potential relaxation attributable to the CE might be non-negligible due to the concentration change of active ions around the electrode. Therefore, in order to fully understand the electrochemical characteristics of the working electrode (WE), a precise analysis of the voltage relaxation of a single electrode is required.In this study, various test cells, including three-electrode half-cells and full cell, and a voltage-controllable symmetrical cell, were fabricated to analyze the pulse and relaxation process in order to further understand the reaction kinetics of the battery. In particular, we aimed to distinguish the detailed processes and to understand the overvoltage evolution during battery operation. For this purpose, Ni-rich layered oxide and graphite were used as the cathode and anode, respectively. Li metal was adopted as the CE and RE in both the half-cell and three-electrode cells. In the two- and three-electrode cathode half-cell experiments, it was confirmed that the overpotential contribution of Li CE in half-cells was one-third to half of total overpotential in specific operating conditions. Considering the relatively fast redox reaction rate of Li, this result strongly implies that a concentration overpotential due to the CE can play a critical role in OCV relaxation. In other words, a typical test cell structure where the opposing areas of WE and CE are similar, total cell overpotential is greatly affected by CE. Supporting this argument, a cell designed with a large CE area and abundant electrolyte showed the very small contribution of CE. In experiments with two- and three-electrode anode half-cells, the contribution of Li CE was similar to that of the cathode half-cell. Next, to investigate the change in the effect of Li CE on the overall overpotential as the cell degrades under repeated cycles, the OCV relaxation with cycles was analyzed for the test cells used above. The analysis revealed an obvious cycle dependence of the long-term OCV relaxation signal, which was confirmed to be largely an effect of Li CE. To investigate the unexpected voltage behavior of Li, Li symmetric cells were configured to obtain voltage curves over time with cycling. From the analysis results, it is proposed that the voltage curve variation is mainly due to different local reaction resistances and highly tortuous surface morphology of the Li surface.In conclusion, the overpotential of Li CE had a large impact on total overpotential in the commonly used two-electrode half-cells, which may cause errors in voltage curve interpretation. Under these circumstances, we further investigated whether the systematic and thorough analysis of the OCV relaxation could reliably separate the cathode and anode overpotential signals in the full cell, as well as the detailed reaction signals at each electrode. To this end, we performed an overpotential analysis using two- and three-electrode cells, as well as a voltage-controllable symmetrical cell, cross-validating the results with those obtained in the half-cell experiments above and electrochemical impedance spectroscopy. In this presentation, we will show how to derive the overpotential contribution of the cathode and anode, and the detailed reaction processes from the short- and long-term OCV relaxation curves obtained from a full-cell. Furthermore, we will discuss the reliability of the separated signals and possible future work to improve their accuracy.

Developing Field Effect Transistor Sensors Based on DNA Probes to Detect Staphylococcus Lugdunensis Bacteria

The goal of this research is to work with an Electrical Double Layer (EDL)-gated Field Effect Transistor (FET) to detect the bacteria Staphylococcus lugdunensis, which can cause a variety of illnesses, including infections of the skin and soft tissues. In rare cases, Staphylococcus lugdunensis can be successfully identified using the combination of a positive catalase test, a negative tube coagulase test, a positive PYR test, and a positive ornithine decarboxylase test. We are employing an Electrical DoubleLayer (EDL)-gated Field Effect Transistor (FET) to speed up the procedure because this test is time consuming and requires a highly competent individual to perform. An ssDNA probe was developed, and effectively immobilized on a gold surface electrode sensor with a square surface, and due to hybridization with the cDNA at different concentrations, electrical signals were generated in the form of current.Our sensor was fabricated using photolithography where the gold electrode surface having 500 μm x 500 μm gate sensing area consisting of each individually addressable sensor arranged in a 1 x 8 array which is the extent gate was expose for immobilization purpose. The sensor was then subjectedto O2 plasma & HCl solution for surface cleaning and fluorescence image of baregold were taken Figure1(b).The Single-Stranded DNA comprising of fluorescent dye (FAM) at 3’ and thiol modifier at 5’ was drop-casted on the gold surface and was incubated for 24 hours at 24°C. After, it went through a washing process in order to remove the unbound ssDNA and fluorescence images were taken. We observed that intensity was higher than that of baregold which indicates that our probe has successfully immobilized on the gold surface Figure 1(b).Figure 1(a) represents the device that we designed. The system works with N-Channel Enhancement-Mode DMOS FET (VN10LP) in which a continuous drain voltage (3.5 V) was applied and the drain current which is the signal, were measured at two distinct gate bias voltage (2V and 3V). cDNA having quencher (BHQ1) at 5’ was diluted in different concentration namely 1fM, 10fM, 100fM and 1000fM. These cDNA with different concentrations were drop-casted on our sensor with Tris-EDTA (TE) buffer as the baseline and starting with lower concentration to higher concentration every after 12 seconds periodically where we record the change in signal as shown in Figure 1(c).After the electrical measurement, fluorescence image was taken and we can observe that it quenched which indicates that the cDNA and the immobilized ssDNA has successfully hybridized which give the signal change. Figure 1: (a) Surface Immobilization Principal Display in Extended Gate EDL BioFETs. (b)Fluorescence value comparison. (c) Plot showing the change in drain current over time for aptamersensors exposed to various cDNA concentrations. Figure 1

Purpose. The article is devoted to the analysis of the role of health-saving technologies for maintaining the mental health of student youth. Particular attention is paid to the fact that in the era of digitalization, there appear new factors that affect the mental health of the student, leading to the development of mental disorders and the emergence of various types

Purpose. The article is devoted to the analysis of the role of health-saving technologies for maintaining the mental health of student youth. Particular attention is paid to the fact that in the era of digitalization, there appear new factors that affect the mental health of the student, leading to the development of mental disorders and the emergence of various types of addictions. The purpose of the article is to provide a scientific substantiation of the system of health-saving measures in the educational process of higher educational institutions as a way to maintain students’ mental health. Method and methodology. The basis of the research is formed by theoretical methods of analysis, generalization, and the comparative method. Results. The novelty of the study lies in the identification of a number of unfavorable factors affecting the mental health of student youth (spending excessive time in social networks, disorders in sleep, work, and rest regimens, the formation of various addictions and phobias). Health-saving technologies that can be applied in the educational process in order to maintain mental health of students are presented. The scope of the results. The results of the study can be applied in the process of educational and awareness-raising work with students of higher educational institutions in order to promote the maintenance of students’ mental health in a digital society.

Data reconstruction of the dynamical connection function in f(Q) cosmology

ABSTRACT We employ Hubble data and Gaussian Processes in order to reconstruct the dynamical connection function in $f(Q)$ cosmology beyond the coincident gauge. In particular, there exist three branches of connections that satisfy the torsionless and curvatureless conditions, parametrized by a new dynamical function $\gamma$. We express the redshift dependence of $\gamma$ in terms of the $H(z)$ function and the $f(Q)$ form and parameters, and then we reconstruct it using 55 $H(z)$ observation data. First, we investigate the case where ordinary conservation law holds, and we reconstruct the $f(Q)$ function, which is very well described by a quadratic correction on top of symmetric teleparallel equivalent of general relativity. Proceeding to the general case, we consider two of the most studied $f(Q)$ models of the literature, namely the square-root and the exponential one. In both cases we reconstruct $\gamma (z)$, and we show that according to Akaike Information Criterion and Bayesian Information Criterion information criteria its inclusion is favoured compared to both $\Lambda$cold dark matter paradigm, as well as to the same $f(Q)$ models under the coincident gauge. This feature acts as an indication that $f(Q)$ cosmology should be studied beyond the coincident gauge.

Identification and prioritization of the challenges faced by vendor organizations in the shape of cyber security: A FUZZY‐AHP ‐based systematic approach

AbstractThe goal of this research study was to identify and prioritize the significant cybersecurity challenges that vendor firms encounter during software development. Using Systematic Literature Reviews (SLRs), 13 significant challenges were found, including “Security issues/Access of Cyberattacks”, “Lack of Right Knowledge”, “Cost Security Issues”, and “Lack of Confidentiality and Trust” among others. To address these concerns, a multifaceted strategy that prioritizes continuing education, training, and investment in cybersecurity measures, as well as cross‐industry cooperation and coordination with government entities, is required. These challenges were ranked using the Fuzzy Analytic Hierarchy Process (F‐AHP). We obtained the following results after applying the Fuzzy Analytic Hierarchy Process: CSC1 (Cyber Security Challenge‐1) “Security Issues/Access of Cyber Attacks”, CSC2 “Lack of Right Knowledge”, and CSC3 “Framework” are the top most critical cyber security challenges, with weightages of 0.1687, 0.1672, and 0.1194, respectively. This study lays the groundwork for future research and assists vendor organizations in addressing the cybersecurity concerns they face during software development. The study also emphasizes the significance of addressing cybersecurity during the software development process in order to avoid the financial and reputational losses associated with cyber intrusions.