Structural Analysis Techniques Research Articles

Structural Analysis Technique and Its Validation for Large Range Mirror Refocusing System for Spaceborne Deployable Telescopes

Large aperture deployable telescopes with numerous onboard instruments are popular in the space industry for astronomy. Scientific data in various wavelength bands, from 0.6µ to 28µ, is provided by these instruments and is crucial for deep space exploration. The deployment mechanisms handle the alignment and functionality at the telescope level only. At instrument level, there is always a need for a refocusing system which can cater individual need of instrument for focusing independent to other instruments nearby. In this paper, we present a structural analysis technique for such a type of large range mirror refocusing mechanism, similar to the Near Infrared Spectrograph (NIRSpec) payload of the James Webb Space Telescope (JWST). The method relies on geometric non-linearity for large deflection, in which the structure's stiffness matrix changes as a function of loading. We have designed, analyzed structurally, and tested a 4mm range slider crank based compliant mechanism. The outcomes of linear and non-linear static analysis, computed numerically, have been compared. There are noticeable significant variations in one direction between the two analyses' results. The results are validated using appropriately designed and realized test setups, like measurements of displacement, changes in focus and image position of the optical system.

Implementing innovation in project-based learning in electro-mechanical engineering education

This study investigates the implementation of project-based learning (PBL) in electro-mechanical engineering education, emphasizing the modeling and application of an innovation process to enhance student engagement, motivation, and employability. Initially, the innovation process was systematically modeled using Structured Analysis and Design Technique (SADT) to manage and organize skills, knowledge, and resources effectively. This model was subsequently applied in an educational experience focused on highly technical aspects such as energy conversion modeling, mechanical improvements, material science, and efficiency analysis. These aspects were primarily applied in the context of permanent magnet synchronous machines employed in electric vehicle (EV) axles. The SADT modeling allowed for a clear delineation of the innovation phases, ensuring a structured approach to project execution. Statistical analysis of the PBL approach indicated significant improvements in student performance, with a 25% increase in problem-solving skills and a 30% enhancement in critical thinking abilities. The case study demonstrated that industry-oriented projects significantly boost student satisfaction, particularly in problem definition and solution identification, leading to a more engaging and effective learning experience.

ECLiPSE: a versatile classification technique for structural and morphological analysis of 2D and 3D single-molecule localization microscopy data.

Single-molecule localization microscopy (SMLM) has gained widespread use for visualizing the morphology of subcellular organelles and structures with nanoscale spatial resolution. However, analysis tools for automatically quantifying and classifying SMLM images have lagged behind. Here we introduce Enhanced Classification of Localized Point clouds by Shape Extraction (ECLiPSE), an automated machine learning analysis pipeline specifically designed to classify cellular structures captured through two-dimensional or three-dimensional SMLM. ECLiPSE leverages a comprehensive set of shape descriptors, the majority of which are directly extracted from the localizations to minimize bias during the characterization of individual structures. ECLiPSE has been validated using both unsupervised and supervised classification on datasets, including various cellular structures, achieving near-perfect accuracy. We apply two-dimensional ECLiPSE to classify morphologically distinct protein aggregates relevant for neurodegenerative diseases. Additionally, we employ three-dimensional ECLiPSE to identify relevant biological differences between healthy and depolarized mitochondria. ECLiPSE will enhance the way we study cellular structures across various biological contexts.

The Role of Self-Efficacy as a Mediator Between Active Organization and Job Readiness

The world of work requires students to have abilities and work skills as a basis for negotiation since willingness to work is the basis. At the same time, the organization promotes students' self-efficacy, making them more mature and career-ready. This study aims to determine the importance of self-efficacy as a mediator between organizational activities and work readiness. The research method uses a quantitative approach. The subjects were 95 students from the Faculty of Economics and Management, Mulawarman University, who were selected through simple random sampling. The data collection method uses three types of scales: work readiness scale, organizational activity scale, and self-efficacy scale. Structural Equation Modeling analysis technique and statistical software Smart PLS are adopted. The research results show that self-efficacy can play a partial role as a mediator between organizational activity and students' job readiness, organizational activity can directly affect students' work motivation, and Organizational activity can affect students' self-efficacy. This study concludes that self-efficacy plays a vital role in improving students' job readiness, directly or indirectly, in the current millennium.

Organizational Performance Improvement Model Based on Talent Management Through Religiosity Organizational Citizenship Behavior

Purpose: This research aims to determine the influence of talent management on organizational performance; the influence of religiosity organizational citizenship behavior as a mediator on organizational performance; the influence of digital literacy as a mediator on organizational performance; the influence of talent management, digital literacy and religiosity organizational citizenship behavior simultaneously on employee performance and employee performance. organization, and designing a model for improving organizational performance through digital literacy and religiosity organizational citizenship behavior as mediators Theoretical Framework: Drawing from the practice-based view theory, this research focuses on several constructs and relationships between talent management, digital literacy and organizational citizenship behavior in ASNs in government agencies which have not yet been widely studied. This research is an effort to develop a model for improving organizational performance through talent management and ASN digital literacy and also combines aspects of organizational citizenship behavior which are based on religious values, which are still rarely used by previous researchers. The research method used is an explanatory survey approach to explain the relationship between variables through hypothesis testing in the field. Research that uses descriptive surveys and explanatory survey methods is carried out by collecting information from samples directly at the scene of the incident (empirical) through questionnaires with the aim of finding out the opinions of the samples regarding the research problem. And this research uses the Partial Least Squares Structural Equation Modeling analysis technique (PLS-SEM), to model many variables in research Results and Discussion: To examine the influence of mediator variables, Partial Least Squares Structural Equation Modeling analysis technique (PLS-SEM),to estimate the causal relationship between variables (causal model) that has been determined previously based on the theory. Answering research questions requires correct statistical data processing. The results of this research will be more powerful if adequate statistical data processing is used. Scientifically based research shows that findings can be evaluated and proven, and if other researchers used the same procedures, the results would almost certainly be the same. As a result, researchers chose statistical data processing techniques to use in these calculations. The result of research. Based on the results of research regarding "Model for Improving Organizational Performance Based on Talent Management Through Religious Organizational Citizen Behavior", the following results were obtained: Overview of talent management, religiosity organizational citizenship behavior, digital literacy, employee performance and organizational performance in Regency/City Government Agencies throughout West Java Province are in the high/good category, which means they are running in accordance with agency procedures. Talent management has a significant positive effect on organizational performance in Regency/City Government Agencies throughout West Java Province. This is based on the results of direct effect hypothesis testing, the t-statistics results obtained were 2.482 and the significance results (pvalue) obtained were 0.007 (0.007<0.05), so Ho was rejected and Ha was accepted. Religious organizational citizenship behavior is unable to mediate the influence of talent management on employee performance. This is based on the results of testing the indirect effect hypothesis, obtaining a significance result (pvalue) of 0.053 (0.053>0.05). Meanwhile, digital literacy is able to mediate the influence of Talent Management on Employee Performance. This is based on the results of testing the indirect effect hypothesis, obtained a significance result (pvalue) of 0.000 (0.000<0.05). Digital literacy, religiosity organizational citizenship behavior and employee performance are able to mediate the influence of talent management on organizational performance. This is based on the results of testing the indirect effect hypothesis, obtained a significance result (pvalue) <0.05. There is an increase in organizational performance through digital literacy and religiosity organizational citizenship behavior in talent management. Implications: The research results show that religiosity organizational citizenship behavior, digital literacy and employee performance are variables that can mediate the influence of talent management on organizational performance in Regency/City Government Agencies throughout West Java Province.

Image-based quantitative probing of 3D heterogeneous pore structure in CBM reservoir and permeability estimation with pore network modeling

Coalbed methane (CBM) recovery is attracting global attention due to its huge reserve and low carbon burning benefits for the environment. Fully understanding the complex structure of coal and its transport properties is crucial for CBM development. This study describes the implementation of mercury intrusion and μ-CT techniques for quantitative analysis of 3D pore structure in two anthracite coals. It shows that the porosity is 7.04%–8.47% and 10.88%–12.11%, and the pore connectivity is 0.5422–0.6852 and 0.7948–0.9186 for coal samples 1 and 2, respectively. The fractal dimension and pore geometric tortuosity were calculated based on the data obtained from 3D pore structure. The results show that the pore structure of sample 2 is more complex and developed, with lower tortuosity, indicating the higher fluid deliverability of pore system in sample 2. The tortuosity in three-direction is significantly different, indicating that the pore structure of the studied coals has significant anisotropy. The equivalent pore network model (PNM) was extracted, and the anisotropic permeability was estimated by PNM gas flow simulation. The results show that the anisotropy of permeability is consistent with the slice surface porosity distribution in 3D pore structure. The permeability in the horizontal direction is much greater than that in the vertical direction, indicating that the dominant transportation channel is along the horizontal direction of the studied coals. The research results achieve the visualization of the 3D complex structure of coal and fully capture and quantify pore size, connectivity, curvature, permeability, and its anisotropic characteristics at micron-scale resolution. This provides a prerequisite for the study of mass transfer behaviors and associated transport mechanisms in real pore structures.

Political marketing mix and the influence of social media promotion on voting decision through perceived value: a study of the 2020 South Tangerang city election

This research aims to examine the influence of Marketing Mix (4P) variables consisting of product, price, place, and promotion, perceived value, and vote decision. The approach used in this research is a quantitative approach. The sample used in this research is the community in South Tangerang City registered in the Permanent Voter List in the 2020 South Tangerang City Regional Election, totaling 175 respondents. Research data was obtained from the result of filling out a questionnaire and analyzed using Structural Equation Modeling analysis techniques with the help of the Smart PLS program. The results of this research show that (i) Political Product affects the voting decision; the higher the political product possessed by the political candidate, the higher the voting decision, and vice versa; (ii) Political Price affects the voting decision; the higher the Political Price, the higher the voting decision, and vice versa; (iii) Political Place does not have a significant effect on voting decision, which means that people in South Tangerang City prefer promotion through social media; (iv) Political Promotion affects the Voting Decision; the higher the Political Promotion, the higher the Voting Decision, and vice versa; (v) Political Promotion affects perceived value; the higher the political promotion, the higher the perceived value in the community, and vice versa; (vi) Perceived Value affects the Voting Decision; the higher the Perceived Value, the higher the Voting Decision, and vice versa; (vii) Perceived Value positively mediates the relationship between Political Promotion and Voting Decision. The promotion variable has the highest value and the strongest influence on voting decision. In general, the conclusion drawn from this research is that the implementation of Marketing Mix (4P) is important in influencing the voting decision of the community in South Tangerang City. Political candidates can pay attention to these aspects to strengthen their advantage in future political contests.

Systematic Elastostatic Stiffness Model of Over-Constrained Parallel Manipulators Without Additional Constraint Equations

The establishment of an elastostatic stiffness model for over constrained parallel manipulators (PMs), particularly those with over constrained subclosed loops, poses a challenge while ensuring numerical stability. This study addresses this issue by proposing a systematic elastostatic stiffness model based on matrix structural analysis (MSA) and independent displacement coordinates (IDCs) extraction techniques. To begin, the closed-loop PM is transformed into an open-loop PM by eliminating constraints. A subassembly element is then introduced, which considers the flexibility of both rods and joints. This approach helps circumvent the numerical instability typically encountered with traditional constraint equations. The IDCs and analytical constraint equations of nodes constrained by various joints are summarized in the appendix, utilizing multipoint constraint theory and singularity analysis, all unified within a single coordinate frame. Subsequently, the open-loop mechanism is efficiently closed by referencing the constraint equations presented in the appendix, alongside its elastostatic model. The proposed method proves to be both modeling and computationally efficient due to the comprehensive summary of the constraint equations in the Appendix, eliminating the need for additional equations. An example utilizing an over constrained subclosed loops demonstrate the application of the proposed method. In conclusion, the model proposed in this study enriches the theory of elastostatic stiffness modeling of PMs and provides an effective solution for stiffness modeling challenges they present.

Correlated 4D-STEM and EDS for the classification of fine Beta-precipitates in aluminum alloy AA 6063-T6

Tuning the properties of aluminum alloys AA 6063-T6 involves artificial aging to induce precipitate formation, particularly β’’ and β’ phases. Previous characterization challenges due to their similar appearance are addressed here by correlating 4D scanning transmission electron microscopy (4DSTEM) and energy-dispersive spectroscopy (EDS) mapping. This approach allows us to analyze the structure and composition of precipitates individually, overcoming limitations of conventional imaging and structural analysis techniques when the precipitates appear simultaneously, as is often the case. We present detailed characterizations of needle-shaped Beta precipitates, revealing distinct diffraction patterns (DPs) and compositional differences. The method's applicability extends beyond aluminum alloys, offering a promising strategy for complex composite material characterization with multimodal scanning transmission electron microscopy (STEM) techniques.

A study on civil engineering construction simulation technology based on artificial intelligence for civil buildings

Abstract This research delves into utilizing Artificial Intelligence (AI) in civil engineering, specifically construction simulations. The primary objective is to reconcile the discrepancies between conventional structural analysis techniques and the actual performance of structures. By integrating AI technologies—neural networks, cellular automata, and support vector machines— with data mining, this research proposes a novel approach for simulating civil building constructions. Traditional methods, often constrained by underlying assumptions, fail to capture the complex behaviors of engineering structures accurately. The developed AI simulation framework utilizes experimental and on-site data to construct digital models, enabling precise prediction of structural behaviors without the limitations of traditional assumptions. Results indicate that AI-enhanced simulations can significantly improve the accuracy of structural analysis, demonstrating potential for wider application in civil engineering. This advancement promises to enhance the predictability, efficiency, and safety of civil constructions, marking a significant step forward in the field.

관광자원으로서의 사찰음식의 속성이 방문의도 및 구전의도에 미치는 영향

Recently, there has been an increased interest in temple cuisine due to heightened consumer awareness of health and environmental issues. To establish a unique position as a tourist attraction, it is important to understand consumers' intentions and perceptions regarding temple food. Therefore, the aim of this study was to examine the relationship between the attributes of temple cuisine as a tourist resource and visitors' intentions to visit and recommend it. Additionally, the study investigated the mediating effects of consumers' perception of health value and environmental value on the relationship between temple food attributes and revisit and recommendation intentions. The research analyzed 358 consumers interested in temple food using structural equation and SPSS Process Macro analysis techniques. The results showed that consumers' perception of health value and environmental value mediate the relationship between temple food attributes and visit and recommendation intentions. Specifically, among those who had direct experience with temple cuisine, positive perceptions of environmental and health values were associated with higher intentions to visit and recommend. This study contributes by comprehensively examining the interrelationships and processes among temple food attributes, perceptions of health value, perceptions of environmental value, visit intentions, and recommendation intentions. Based on these findings, the study suggests the need for efforts from stakeholders to promote the positive attributes of temple cuisine, stimulate consumers' health and environmental value perceptions, and expand related institutions where consumers can experience temple cuisine. Ultimately, this can increase tourists' loyalty, visit intentions, and recommendation intentions.

Finding atomic dynamics in metal and alloy subnanometer clusters

Abstract This highlight review explains advanced structural analysis techniques utilizing electron microscopy to uncover various properties and phenomena in subnanometer clusters that were previously unknown in larger nanoparticles. The discoveries introduced the concept of “subnano alloying,” where different elements mix at the atomic level in arbitrary proportions, leading to enhanced catalytic performance. Additionally, the behavior and dynamics of these clusters were examined to gain insights into their stability and reactivity. These findings have significant implications for the design of advanced materials with tailored properties and improved catalytic applications.

Impact of the Li-loss mechanisms inherent to the physical vapor deposition of LiCoO2 cathode on its electrochemical performance

GPa-resistant conformal LiCoO2 cathodes grown by physical vapor deposition (PVD), with negative chemical expansion coefficients, are promising systems for mechanically stabilizing cathode/solid electrolyte interfaces in solid-state lithium-ion batteries. However, exploiting its potential preliminarily requires that we are able to control the reversibility of Li stoichiometry under PVD conditions, which represents a major challenge since metal Li is lightweight, volatile and has high diffusivity. By combining different chemical and structural analysis techniques, we identify the mechanisms of Li loss by PVD and demonstrate that unlike the electrochemical delithiation of LiCoO2, the crystallization of LiCoO2 admits only a small amount of Li vacancies, so that in a Li-deficient regime, segregated phases of fully stoichiometric LiCoO2 and Li-free Co oxides are formed. From the laterally- and depth-resolved concentrations of the coexisting phases, we can conclude that PVD-grown LiCoO2 is partially stabilized into morphological features with reduced specific surface areas (i.e., large isotropic faceted grains and thick films), resulting in an improvement of its specific electrochemical properties and performance.

Understanding Voter Resistance to Political Campaigns: Evidence from National Elections of Pakistan

Political marketing literature acknowledges the pivotal role of marketing campaigns in building political support, yet a notable gap exists in understanding voters’ resistance to political campaigns. This paper argues that voters’ resistance can be managed if their attitudes are understood. Grounded in the Tripartite theory of attitude that conceptualizes attitude as a complex relationship between cognition (voter’s apathy, skepticism and cynicism), affection (voter’s dissatisfaction and frustration) and conation (voter’s resistance to political campaigns), the study tests a model for understanding resistance to political marketing. An empirical investigation of 454 participants from 2018 national elections in Pakistan, utilizing a structured questionnaire for data collection and employing structural equation modeling analysis techniques, reveals that skepticism and dissatisfaction significantly fuel voters’ resistance to political efforts. These factors engender disbelief, erode trust, and diminish interest in political candidates and their parties. Based on these findings, we draw implications for advocating citizen engagement over a sole reliance on advertisements to mitigate negative voter attitudes toward political campaigns.

Electrochemical performance of g-C3N4 embedded NiO nanocomposite anodes for Lithium-ion batteries

The combination of two-dimensional layered heterostructures with transition metal oxide electrodes has attracted considerable attention. In this work, the hydrothermal method is adopted to produce graphitic carbon nitride-embedded Nickel oxide (g-CN/NiO) nanocomposites and tested their electrochemical performance against Li/Li+ half cells. The formation of g-CN/NiO nanocomposite is confirmed through structural analysis techniques, such as XRD and XPS. The scanning electron microscopy image reveals the existence of spherical g-CN/NiO nanocomposite. The g-CN embedded NiO anodes exhibited excellent electrochemical performance and cyclability, and the g-CN/NiO versus Li/Li+ half-cell delivered an initial discharge capacity of 906.4 mAh g-1 at a 0.1C rate. At 500 cycles, the anode delivered 195 mAh g-1 capacity with a columbic efficiency of 99.5 %. Interestingly, the g-CN/NiO anode exhibits two distinct trends in its cycling performance. Until 300 cycles, the capacity fade was perceived, and after 300 cycles, due to the overhang mechanism, an increasing trend was observed. The electrochemical result reveals that the introduction of g-CN improves the structural stability and electron transport properties of g-CN/NiO anodes.

Is the TCA cycle malate dehydrogenase-citrate synthase metabolon an illusion?

This review discusses the intriguing yet controversial concept of metabolons, focusing on the malate dehydrogenase-citrate synthase (MDH-CISY) metabolon as a model. Metabolons are multienzyme complexes composed of enzymes that catalyze sequential reactions in metabolic pathways. Metabolons have been proposed to enhance metabolic pathway efficiency by facilitating substrate channeling. However, there is skepticism about the presence of metabolons and their functionality in physiological conditions in vivo. We address the skepticism by reviewing compelling evidence supporting the existence of the MDH-CISY metabolon and highlighting its potential functions in cellular metabolism. The electrostatic interaction between MDH and CISY and the intermediate oxaloacetate, channeled within the metabolon, has been demonstrated using various experimental techniques, including protein-protein interaction assays, isotope dilution studies, and enzyme coupling assays. Regardless of the wealth of in vitro evidence, further validation is required to elucidate the functionality of MDH-CISY metabolons in living systems using advanced structural and spatial analysis techniques.

The Influence of Entrepreneurship Education on the Competence of Start-Up Ventures in Empowering Nascent Makeup Artists

This research aims to analyze the influence of entrepreneurship education on startup business competencies through the empowerment of prospective makeup artists. The study employs a quantitative approach with structural equation model analysis techniques using the AMOS application. The population of this study comprises alumni of the Entrepreneurial Skills Education Program (PKW) from Training and Course Institutes (LKP) between 2016 and 2018 in West Java. The sampling technique used is random sampling. Data were obtained through a questionnaire completed by 136 respondents. The results of the study indicate that entrepreneurship education does not have a significant effect on startup business competencies through the empowerment of prospective makeup artists. However, entrepreneurship education significantly influences two variables: startup business competencies (48.6%) and the empowerment of prospective makeup artists (89.1%). The study reveals the reasons for the low achievement of the PKW Program's success based on two indicators. Indicator II states that at least 75% of graduates should be able to start a business, and Indicator III specifies that at least 30% of those who start a business should earn an income equivalent to the local minimum wage within six months. The low success rate of the PKW Program in this study is explained by the limited skills of the mentors and the lack of reflection activities during the mentoring process. This research highlights the urgent need for effective mentors when prospective bridal makeup artists design and launch their startups. Mentors play a critical role in providing business insights, market advice, and market validation. Therefore, it is necessary to improve the quality of mentors and establish qualification standards for startup business mentors.

Synthesis and application of gadolinium-doped ZnO/silica mesoporous nanocomposite for methylene blue removal

In this study, a silica mesoporous nanomaterial was synthesized using a hydrothermal method and then surface-modified with Gadolinium-doped ZnO nanoparticles. The synthesized samples were characterized using FTIR, XRD, BET, XPS, FESEM, and EDS techniques for surface and structural morphology analysis. Structural analysis revealed that the synthesized SBA-15 mesoporous silica possessed a crystalline structure. Conversely, the mesoporous material modified with zinc oxide and gadolinium oxide nanoparticles became amorphous. The activity of this nanocomposite for the removal of methylene blue, a colored pollutant, was evaluated. Five factors affecting methylene blue removal efficiency, including initial dye concentration, adsorbent amount, contact time, pH, and temperature, were investigated. The optimal values identified for efficient methylene blue removal were: initial concentration 10 mg/L (ppm), adsorbent amount 0.015 g, time 15 min, pH 7, and temperature 25 °C. The reusability of the adsorbent was also investigated, and it was found to exhibit good reusability for up to 8 cycles without a significant decrease in its methylene blue removal efficiency.

STRUCTURAL CHANGES DURING THERMAL STRENGTHENING OF THE RAILWAY WHEEL

Purpose. Justification of mechanism of the structure transformations in the carbon steel of the railway wheel during disk thermal strengthening. Research methods. The material for the study was carbon steel of a railway wheel with a content of 0.57 % C, 0.65 % Si, 0.45 % Mn, 0.0029 % S, 0.014 % P and 0.11 % Cr. The railway wheel was heated to temperatures higher than Ac3, kept at this temperature to complete austenite homogenization process, and disk was rapidly cooled to the specified temperature. Degree defectiveness structure of the metal after accelerated cooling was assessed using technique of X-ray structural analysis. Strength stress, yield stress and relative elongation of the carbon steel were determined at stretching at rate of deformation 10-3 s-1. Results. At accelerated cooling of the carbon steel, the sources of strengthening are the processes of blocking mobile dislocations due to the condensation of carbon atoms on them and dispersion strengthening from the formed particles of the carbide phase. At temperatures of termination of forced cooling of carbon steel above 300…350 °C, the reduction rate of strength properties is determined by the excess of total effect of softening from decomposition of the solid solution, acceleration of spheroidization and coalescence of cementite particles over the blocking of dislocations by carbon atoms and dispersion hardening. Scientific novelty. The level of strength and plasticity characteristics of carbon steel of the railway wheel disc, depending on the temperature end forced cooling, is determined by the ratio of the influence of degree super saturation of the solid solution and the dispersion strengthening by carbide phase. Practical value. For temperatures termination of accelerated cooling of 200…300 °C, degree of super saturation of the solid solution is the main factor that determines the level of strength and plasticity characteristics. When manufacturing an all-rolled railway wheel, the strength limit of the disc metal can be increased by accelerated cooling to the middle range of temperature.

Artistic time and Space in the Stories of V. Bykov

The analysis of time and space in a work of art - the chronotope is one of the most pressing problems of modern research. The purpose of the work is to acquaint specialists with the aesthetic function of the chronotope in the stories of V. Bykov. The technique of structural, comparative-typological and intertextual analysis was used. The study revealed the role of retrospections. V. Bykov's retrospectives are complex, the author examines several time layers. The concept of time causes the destruction of the plot, which cannot be restored in chronological (plot) sequence. The depiction of time and space used by the writer makes it possible to reveal the character of a person in an extreme situation as concisely and convincingly as possible. The result of the analysis is the conclusion that the stories of V. Bykov are a significant stage in the evolution of artistic thinking.