Engineering Methods Research Articles

Ontological model of the process of intensification of teachers’ competencies

Ontological model of the process of intensification of teachers’ competencies

Numerical simulation and mathematical modeling of biomechanical stress distribution in poroelastic tumor tissue via magnetic field and bio-ferro-fluid

Based on scientific evidence, it seems that bio-magnetic systems can change the process of cancer cell death by affecting the distribution of pressure and mechanical stress in the tumor tissue. Already most of the research has been done experimentally and few mathematical modeling and numerical simulations have been done to investigate the relationship between the magnetic parameters and the mechanical stress of the tumor tissue. This is despite the fact that in order to be able to make new equipment with the help of medical engineering methods, it is definitely necessary that the mathematics governing the problem and changes in the effective magnetic parameters (such as the shape of the magnetic source, magnetic flux density, magnetic source distance and ferro-fluid volume fraction) should be studied as much as possible. In this research, using numerical simulation and mathematical modeling, four common geometrical shapes (rectangular and circular) of the static magnetic field source were used to investigate the relationship between the change of the effective magnetic parameters and the mechanical stress created in the tumor tissue. The results of this research showed that when the magnetic flux density and ferro-fluid volume fraction and also the distance between the magnet and the tissue are kept constant, as well as without spending any extra energy, for a rectangular magnet, just by changing the way the source is placed on the tissue, the average biomechanical stress inside the tumor tissue causes a 25 % change. Also, for a circular magnet, just by doubling the radius of the magnet, the average biomechanical stress inside the tumor tissue causes a 73 % change.

Engineering Ta-doped MoSex sensitive films in extended-gate field-effect transistors for ultrahigh sensitivity detection of epinephrine at fM levels

This study presents the production of Ta-doped MoSex films on a flexible polyimide (PI)-based extended-gate field-effect transistor (EGFET) using a straightforward sputtering technique, which is applied for the first time in the evaluation of epinephrine. The Ta-doped MoSex-based EGFET flexible PI sensor through the functionalization of 4-formylphenylboronic acid (4-FPBA), a synthetic receptor allowing for the covalent attachment of epinephrine on the sensing surface. The sensitivity to epinephrine reached 11.48 mV/CEP, with a linearity of 99.912 % within the concentration range of 10-8 to 0.01 μM. Additionally, this flexible sensor exhibited a heightened reference voltage shift response to epinephrine when compared to other neurotransmitters. The successful implementation of this straightforward sputtering engineering method, capable of effectively modifying both the surface and composition of the Ta-doped MoSex film, paves the way for exploring new possibilities in developing diverse types of flexible and adjustable biosensors.

Design E-Learning User Interface On Website-Based Edspert.Id With Kansei Engineering Methods

The development of information technology has encouraged people to rely on information systems, especially through websites. Websites provide easy access to information and learning with various educational materials. Although e-learning has been implemented in many educational websites, Edspert. id, a company in the education sector, has not implemented it yet. User interface design development is one of the important processes in e-learning website development. A user interface that is easy to use will improve the learning experience of learners. This research proposes a solution to design the user interface of Edspert.id e-learning website by using the Kansei Engineering method. This approach has been done beforefor web-based e-learning based on users' emotions. Principal component analysis (PCA) is used to reduce Kansei Word variables that are relevant to users' emotions. The e-learning website element design was then designed based on the PCA results. The next step is to determine the design elements in the e-learning design. Then, partial Least Square (PLS) was used to analyze the relationship between Kansei Word and element design. The results show that there multiuser interface design has two concepts whose element designs are in accordance with user needs.

Web Engineering Methods in Building a Web-Based School Academic Information System

The advancement of computer technology has paved the way for the development of computer-based information systems, significantly enhancing the efficiency and speed of data processing tasks. In educational settings, particularly in secondary vocational schools, there is a pressing need to transition from traditional manual data handling methods to more sophisticated, automated systems. This study focuses on the development of an academic web application aimed at improving the data processing quality in a secondary vocational school where data is currently managed manually using paper and pen.The existing manual method of processing academic data could be more efficient, prone to errors, and susceptible to data loss. This antiquated approach hinders the school's ability to manage academic information effectively, leading to delays and inaccuracies in data reporting and access. There is a clear necessity for a system that can streamline data processing, ensure data security, and provide easy access to information.The method employed to design this academic information system is web engineering. Web engineering combines engineering principles, management practices, and systematic approaches to create high-quality web-based applications. The development process includes several critical activities: formulation, planning, analysis, engineering, page generation, and testing. The system is implemented using PHP and MySQL, which were chosen for their robustness and reliability in web application development.The development and implementation of the academic information system have demonstrated significant improvements in data processing quality. The system allows for efficient, accurate, and secure handling of academic information. It facilitates quick accessto data from any location, enhancing the practicality of data management. Testing confirmed that all system functions met the predefined requirements, ensuring that the application operates as intended. The introduction of this web-based system has effectively addressed the deficiencies of the previous manual method, providing timely and accurate reporting. This improvement has enhanced the services provided to students, teachers, and principals, leveraging modern technology to achieve greater efficiency in educational administration.KeywordsAcademic, MySQL, PHP, System Information, Web engineering

Dynamical Behaviors and Abundant New Soliton Solutions of Two Nonlinear PDEs via an Efficient Expansion Method in Industrial Engineering

In this study, we discuss the dynamical behaviors and extract new interesting wave soliton solutions of the two significant well-known nonlinear partial differential equations (NPDEs), namely, the Korteweg–de Vries equation (KdVE) and the Jaulent–Miodek hierarchy equation (JMHE). This investigation has applications in pattern recognition, fluid dynamics, neural networks, mechanical systems, ecological systems, control theory, economic systems, bifurcation analysis, and chaotic phenomena. In addition, bifurcation analysis and the chaotic behavior of the KdVE and JMHE are the main issues of the present research. As a result, in this study, we obtain very effective advanced exact traveling wave solutions with the aid of the proposed mathematical method, and the solutions involve rational functions, hyperbolic functions, and trigonometric functions that play a vital role in illustrating and developing the models involving the KdVE and the JMHE. These new exact wave solutions lead to utilizing real problems and give an advanced explanation of our mentioned mathematical models that we did not yet have. Some of the attained solutions of the two equations are graphically displayed with 3D, 2D, and contour panels of different shapes, like periodic, singular periodic, kink, anti-kink, bell, anti-bell, soliton, and singular soliton wave solutions. The solutions obtained in this study of our considered equations can lead to the acceptance of our proposed method, effectively utilized to investigate the solutions for the mathematical models of various important complex problems in natural science and engineering.

Optimizing product design and development of engine carbon cleaning maintenance tools using reverse engineering and VDI 2222 methods

This research article explains the product design and development optimization of multi feature engine carbon cleaning maintenance tools. The implementation of the Reverse Engineering method was integrated with VDI 2222 in the research process. The results of the optimal design and development of this tool obtained a component structure that was able to meet 14 types of consumer needs with a total tool cost of IDR 1.137.900 with a total tool weight of 6.9 kg. The results of the load test simulation concluded that the housing case was able to withstand the overall weight of the components that make up the tool. Depending on the liquid chemical used, the results of tool tests on a limited scale have proven to be able in save fuel consumption by ±12.5% per hour with engine workload which can also be reduced by 3,14%.

Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems

The optimization of yields in multi-reactor systems, which are advanced tools in heterogeneous catalysis research, presents a significant challenge due to hierarchical technical constraints. To this respect, this work introduces a novel approach called process-constrained batch Bayesian optimization via Thompson sampling (pc-BO-TS) and its generalized hierarchical extension (hpc-BO-TS). This method, tailored for the efficiency demands in multi-reactor systems, integrates experimental constraints and balances between exploration and exploitation in a sequential batch optimization strategy. It offers an improvement over other Bayesian optimization methods. The performance of pc-BO-TS and hpc-BO-TS is validated in synthetic cases as well as in a realistic scenario based on data obtained from high-throughput experiments done on a multi-reactor system available in the REALCAT platform. The proposed methods often outperform other sequential Bayesian optimizations and existing process-constrained batch Bayesian optimization methods. This work proposes a novel approach to optimize the yield of a reaction in a multi-reactor system, marking a significant step forward in digital catalysis and generally in optimization methods for chemical engineering.

Горячее деформирование корпусных заготовок в изотермических условиях

Core operations with hollow products, having a periodically changing internal profile, consists in the final machining of press forgings. However, at the same time, metal rejects are high, and despite the high quality of the products obtained, their mechanical characteristics do not always meet the requirements of functioning. For the equipment units, when subjected to heavy loads, the parts are usually made of high-strength materials. Due to the complexity of the work on a workpieces made of high-strength alloys, operations are carried out with heating of the deformed zone of the in-process part or with a total heating. The use of slow deformation in the hot state under certain speed conditions is promising. The process of the internal pattern formation for hollow shells made of titanium alloy VT6 is viewed. These products are mainly used as various airframes and are made using special methods of mechanical engineering. Due to the use of high-strength billet materials, there are difficulties with the mechanization of the production methods. The article evaluates force conditions for generation of geometry on the shells based on CAE modeling. The simulation was performed in the deform complex. The focus of the research was on the assessment of deformation forces and stress intensities. The influence of deformation ratio, strain rates, punch geometry on the strength of the process and stress intensity has been revealed. A regression equation to estimate the forces of the process is deduced. Recommendations on the design of fillets forming operations have been obtained. Deformation modes aimed at achieving rational power modes, respectively, loads on the tool, which indirectly affects its durability, as well as the stress condition in the product, have been found.

Expert Consensus Methods In The Humanities - An Exploration of their Potential

Background Expert consensus methods are regularly used in natural, social, and life sciences. This article explores the potential of applying these methods more frequently in humanities research. Methods The authors reviewed literature and applied the philosophical methods of conceptual analysis and conceptual engineering. Results This article identifies and describes six main elements of expert consensus methods. It also provides an overview of the different types of expert consensus methods regularly used in the natural, social, and life sciences: Delphi studies, nominal groups, consensus conferences, and Glaser’s state of the art method. Subsequently, each of these types is illustrated by an example from the sciences. The article also presents the potential of and objections to the application of expert consensus methods there. It gives four examples of expert consensus methods that were applied in humanities research, also presented in line with the six elements. Conclusions The comparisons and categorization show that, as in the natural, social, and life sciences, expert consensus methods in the humanities can in some instances potentially accelerate the epistemic process and enhance transparency, replicability, diversity, and fair processes. Nevertheless, expert consensus methods need to be fine-tuned to do justice to the unique nature and approaches of the humanities and therefore further research is needed.

Assessment of subsoil characteristics by electrical resistivity method for engineering, groundwater and environmental impact at a proposed estate in a basement complex terrain—a case study from Southwestern Nigeria

Assessment of subsoil characteristics by electrical resistivity method for engineering, groundwater and environmental impact at a proposed estate in a basement complex terrain—a case study from Southwestern Nigeria

Development of a model of the information and analytical system for making decisions on detecting failures of information transmission channels

The object of the research is the channels of information transmission during the control of the information-analytical decision-making system. The development of high technologies and computing capabilities ensures the evolutionary development of smart technologies and socio-cyber-physical systems on the one hand. On the other hand, it forms the integration of targeted (mixed) attacks with the possibility of integration with social engineering methods. In addition, mobile technologies significantly increase the possibilities of data transmission speed. However, this only provides the authentication service, which does not provide a full range of security services. Under such conditions, an urgent task at the decision-making stage is the use of auxiliary systems that ensure the adequacy of decisions and the promptness of their adoption. The proposed mathematical model of the information and analytical system allows to calculate the main technical characteristics of information transmission channels and identify their possible failures. The use of an information and analytical system simplifies the decision-making process, allows to increase the reliability of such decisions due to an increase in the level of automation. Increasing the level of automation in the decision-making process removes subjective factors and the decision depends on the availability of information. Therefore, the reliability of the information transmission channels of the information and analytical system significantly affects the quality of the decisions made. The developed model allows to ensure the required level of reliability of information transmission channels. The obtained results are explained by determining the dependence between the parameters of the information and analytical system and their influence on the quality of information transmission through channels. The results of the study can be used in practice when considering systems with a limited number of states during operation

Implementasi Sistem Menu Engineering untuk Peningkatan Kualitas Menu di X Coffee Eatery Tebet

Cafes or coffee shops have grown rapidly and become an important part of the urban lifestyle. In the face of growing market demand, improving menu quality is a key focus for every cafe. Menu engineering systems provide a solid structural foundation for understanding and managing each stage in creating a dish. The purpose of this research is to find out how the level of popularity of the menu at X Coffee Eatery, to find out how the profit level at X Coffee Eatery, and to find out how the menu performance category at X Coffee Eatery. This research uses a descriptive approach with quantitative methods. The results showed that of the 69 menu items, the results can be seen, namely in the X Special menu type 1 menu item which has a popularity level (MM%) of 100%. 16 menu items categorized as star, 4 menus categorized as plowhorse, 23 menus categorized as puzzle and 4 menus categorized as dog. Evaluation is needed for menus with low popularity levels in order to increase popularity through menu engineering methods.

Engineering method for determining the axial moment of inertia of a circular segment

Engineering method for determining the axial moment of inertia of a circular segment

Crowdsourced bug report severity prediction based on text and image understanding via heterogeneous graph convolutional networks

AbstractIn the process of crowdsourced testing, massive bug reports are submitted. Among them, the severity level of the bug report is an important indicator for traigers of crowdsourced platforms to arrange the order of reports efficiently so that developers can prioritize high‐severity defects. A lot of work has been devoted to the study of automatically assigning severity levels to a large number of bug reports in crowdsourcing test systems. The research objects of these works are standard bug reports, focusing on the text part of the report, using various feature engineering methods and classification techniques. However, while achieving good performance, these methods still need to overcome two challenges: no consideration of image information in mobile testing and discontinuous semantic information of words in bug reports. In this paper, we propose a new method of severity prediction by using heterogeneous graph convolutional networks with screenshots (SPHGCN‐S), which combines text features and screenshots information to understand the report more comprehensively. In addition, our approach applies the heterogeneous graph convolutional network (HGCN) architecture, which can capture the global word information to alleviate the semantic problem of word discontinuity and underlying relations between reports. We conduct a comprehensive study to compare seven commonly adopted bug report severity prediction methods with our approach. The experimental results show that our approach SPHGCN‐S can improve severity prediction performance and effectively predict reports with high severity.

Prokaryotic Expression and Functional Verification of Antimicrobial Peptide LRGG.

The antimicrobial peptide LRGG (LLRLLRRGGRRLLRLL-NH2) was designed and chemically synthesized in a study conducted by Jia et al. Gram-negative bacteria were found to be sensitive to LRGG and exhibited a high therapeutic index. Genetic engineering methods were used to create the prokaryotic fusion expression vector pQE-GFP-LRGG, and the resulting corresponding fusion protein GFP-LRGG was subsequently expressed and purified. The precursor GFP was then removed by TEV proteolysis, and pure LRGG was obtained after another round of purification and endotoxin removal. The prokaryotic-expressed antimicrobial peptide LRGG displays a broad-spectrum antibacterial effect on Gram-negative bacteria, and its minimum inhibitory activity (MIC) against Escherichia coli can reach 2 μg/mL. Compared to the chemically synthesized LRGG, the prokaryotic-expressed LRGG exhibits similar temperature, pH, salt ion, serum stability, and cell selectivity. Furthermore, prokaryotic-expressed LRGG showed excellent therapeutic effects in both the infection model of cell selectivity and no embryotoxicity in a Galleria mellonella infection model. The mechanism by which LRGG causes bacterial death was found to be the disruption of the Gram-negative cell membrane.

TiO2-based photocatalysts from type-II to S-scheme heterojunction and their applications

Photocatalysis is a promising sustainable technology to remove organic pollution and convert solar energy into chemical energy. Titanium dioxide has drawn extensive attention in this field owing to its high activity under UV light, good chemical stability, large availability, low price and low toxicity. However, the poor quantum efficiency derived from fast electron/hole recombination, the limited utilization of sunlight, and a weak reducing ability still hinder its practical application. Among the modification strategies of TiO2 to enhance its performance, the construction of heterojunctions with other semiconductors is a powerful and versatile way to maximise the separation of photogenerated charge carriers and steer their transport toward enhanced efficiency and selectivity. Here, the research progress and current status of TiO2 modification are reviewed, focusing on heterojunctions. A rapid evolution of the understanding of the different charge transfer mechanisms is witnessed from traditional type II to the recently conceptualised S-scheme. Particular attention is paid to different synthetic approaches and interface engineering methods designed to improve and control the interfacial charge transfer, and several cases of TiO2 heterostructures with metal oxides, metal sulfides and carbon nitride are discussed. The application hotspots of TiO2-based photocatalysts are summarized, including hydrogen generation by water splitting, solar fuel production by CO2 conversion, and the degradation of organic water pollutants. Hints about less studied and emerging processes are also provided. Finally, the main issues and challenges related to the sustainability and scalability of photocatalytic technologies in view of their commercialization are highlighted, outlining future directions of development.

Experimental methods in chemical engineering: Monte Carlo

AbstractMonte Carlo (MC) methods employ a statistical approach to evaluate complex mathematical models that lack analytical solutions and assess their uncertainties. To this end, techniques such as Markov chain Monte Carlo (MCMC), bootstrap, and sequential MC methods repeat the same operations over a specified range of conditions. Consequently, both the frequentist and Bayesian statistical approaches are computationally intensive, depending on the problem formulation. Improving sampling techniques and identifying sources of error reduce the computational demand but do not guarantee that the solution reaches the global optimum. Moreover, efficient algorithms and advances in hardware continue to decrease computation time. MC methods are applicable to a plethora of problems ranging from medicine to computational chemistry, economics, and industrial safety, making them integral to the ongoing industrial digitalization by evaluating the quality of applied models. In chemical engineering, MC simulations are used in four clusters of research: design, systems, and optimization; molecular simulation, including CO2 and carbon capture; adsorption and molecular dynamics; and thermodynamics. There is limited cross‐referencing between the design cluster and the other three, which presents an interesting area for future research. This mini‐review presents two applications within chemical engineering: emissions and energy forecasting.

Determination of Slope Safety Factor Based on Hoek & Brown Collapse Criteria on Ampera-Surumana Road Section

Introduction: One way to determine whether a slope is stable or not is by using the safety factor criterion. The method to determine the safety factor using the limit equilibrium method. Administratively the research area is located in the village of Salubomba, Central Banawa District, Donggala Regency, Central Sulawesi Province. The results of the study are also expected to be used as one of the basis for planning the design of stable slopes in the area Method: The methods used in this research were qualitative and quantitative. The process in this research was carried out with each method. The process of collecting secondary data and primary data is carried out by Geology and Geological Engineering methods both qualitatively and quantitatively. Results and Discussion: Observations in this study were made in the field in the form of observations of bridging on road slopes. The bruises in the study area are grouped on the basis of their shape and genetics. Through the results of observations and measurements on rock slopes at the research site. Based on data processing on the GEOSTUDIO 2018 R2 software application. Then, the value of the slope safety factor at observation station 1 is 2.316. Conclusion: Based on testing and analysis of the Hoek & Brown collapse criteria method, it can be concluded that the value of the slope safety factor at observation stations 1, 2, 3, 4, and 5 is 2.316; 2.029; 1.765; 1.658; 2.622 respectively. At station 4 the level of vulnerability is medium (Landslides can occur), at station 3 is at a low level of vulnerability (Landslides rarely occur), while at stations 1,2 and 5 are at a very low level of vulnerability (Landslides very rarely occur).

Patterns of Aneuploidy and Signaling Consequences in Cancer.

Aneuploidy, or a change in the number of whole chromosomes or chromosome arms, is a near-universal feature of cancer. Chromosomes affected by aneuploidy are not random, with observed cancer-specific and tissue-specific patterns. Recent advances in genome engineering methods have allowed the creation of models with targeted aneuploidy events. These models can be used to uncover the downstream effects of individual aneuploidies on cancer phenotypes including proliferation, apoptosis, metabolism, and immune signaling. Here, we review the current state of research into the patterns of aneuploidy in cancer and their impact on signaling pathways and biological processes.