Structural Analysis Approach Research Articles

Analisis Faktor-faktor Yang Mempengaruhi Kepuasan Tamu Favehotel Gatot Subroto Jakarta

This study aims to determine the strategic factors and their relationship in improving the level of guest satisfaction at favehotel Gatot Subroto Jakarta. This study aims to determine the strategic factors and their relationship in increasing guest satisfaction at Favehotel Gatot Subroto Jakarta. This study uses a structural analysis approach. The analytical method uses MICMAC to identify the most influential variables and their relationship to guest satisfaction at Favehotel Gatot Subroto Jakarta. The results of the analysis that embody the typology of strategic variables based on the strength of influence found 19 strategic variables classified in 4 quadrants, namely: (1) Dominant variables consist of: 3 variables, 2 price dimensions and 1 location dimension, (2) Key variables consist of: 7 variables (2 dimensions of product, 2 dimensions of facilities, 2 dimensions of atmosphere, and 1 dimension of promotion). (3) The output variable consists of: 1 variable (1 service dimension). (4) Autonomous variables consist of: 8 variables (3 service dimensions, 2 promotion dimensions, 1 location dimension, 1 facility dimension, 1 location dimension). The results of this study indicate various sources of information for policy makers in increasing guest satisfaction at Favehotel Gatot Subroto Jakarta.

Teaching Complex Sentences in ESL Reading: Structural Analysis

Informed by the reading ability of English complex sentences, as well as the syntactic acquisition and cognition, this empirical study, based on a structural analysis approach, investigated 32 Chinese high school students in their ESL (English as Second Language) reading course. The results indicated that: (1) the differences between students’ pre- and post-test are significant; (2) structural analysis approach was found to have independent positive predictive effects on Chinese high school students’ syntactic proficiency. The findings can generate implications for TESL (Teaching English as Second Language) and provide insights to theoretical conceptualization of L2 (Second Language) reading.

Overturning Mechanisms of Jacks, Cranes and Pile Driving Machines

ABSTRACT Overturning accidents involving jacks, movable cranes and pile driving machines during construction have often occurred in Japan. In this article, a theoretical study is made by assuming that structural stability, like buckling, is related to a fundamental cause. Overturning mechanisms can be categorized as: (1) the overturning moment exceeds the resisting moment; (2) the load exceeds the critical load; and (3) the deformation exceeds the stability limit. In order to study these three mechanisms, two structural analysis approaches, i.e. the moment approach and the stability approach, are applied. By the moment approach, mechanism (1) is explained by comparing the overturning moment with the resisting moment, which has been utilized mostly in past investigations. On the other hand, the stability approach is applied to cases of types (2) and (3), by which the overturning mechanism of movable heavy machines on soft ground can be rationally explained. On soft ground, theoretically even with no overturning moment there is a possibility that machines could overturn. This article investigates the fundamental cause of overturning accidents based not only on the overturning moment approach but mainly on the structural stability approach. By understanding the overturning mechanisms, further accidents may be prevented.

A Novel Nonlinear Elasticity Approach for Analysis of Nonlinear and Hyperelastic Structures

There are many materials that the linear elasticity theory cannot predict their mechanical behavior against applied loads. This research proposes a comprehensive theoretical method to obtain the mechanical response of hyperelastic models (with nonlinear elastic deformations) such as polymers and rubbers. They are vital in the design phase of complicated engineering structures like engine mounts and structural bearings in aerospace and automotive industries. The presented theory is implemented in detail and has no limitations in analyzing geometrically and physically nonlinear materials. As a test case, the governing equations of a sheet made of nonlinear elastic material are derived within the framework of this new approach. The derived governing equations are completely nonlinear in all major directions. Consequently, results can be one of the most accurate mathematical simulation results for nonlinear elastic material structures. Then, the obtained equations are solved using a meshless solution method named the semi-analytical polynomial method. The stress and deformation results of the structure under uniform and non-uniform transverse external loadings are obtained for different types of boundary conditions, loading, and material properties. Consequently, this research can be widely used as a suitable essential reference for researchers studying the mechanical behavior of nonlinear elastic structures.

KLFDAPC: a supervised machine learning approach for spatial genetic structure analysis.

Geographic patterns of human genetic variation provide important insights into human evolution and disease. A commonly used tool to detect and describe them is principal component analysis (PCA) or the supervised linear discriminant analysis of principal components (DAPC). However, genetic features produced from both approaches could fail to correctly characterize population structure for complex scenarios involving admixture. In this study, we introduce Kernel Local Fisher Discriminant Analysis of Principal Components (KLFDAPC), a supervised non-linear approach for inferring individual geographic genetic structure that could rectify the limitations of these approaches by preserving the multimodal space of samples. We tested the power of KLFDAPC to infer population structure and to predict individual geographic origin using neural networks. Simulation results showed that KLFDAPC has higher discriminatory power than PCA and DAPC. The application of our method to empirical European and East Asian genome-wide genetic datasets indicated that the first two reduced features of KLFDAPC correctly recapitulated the geography of individuals and significantly improved the accuracy of predicting individual geographic origin when compared to PCA and DAPC. Therefore, KLFDAPC can be useful for geographic ancestry inference, design of genome scans and correction for spatial stratification in GWAS that link genes to adaptation or disease susceptibility.

Stress and Failure Onset Analysis of Thin Composite Deployables by Global/Local Approach

The purpose of this work is to propose an innovative global/local approach for the failure onset analysis of deployable composite thin and ultrathin structures. The adoption of this technique allows for overcoming the weaknesses related to the commercial calculation codes, which make use of three-dimensional finite elements to capture the local stress field arising within the booms. In this framework, the proposed approach leads to a reduction of computational cost while keeping a high level of accuracy. This is possible thanks to the Carrera unified formulation, which allows for the modeling of higher-order plate elements for the analysis of local critical regions of complex composite assemblies. To show the potentialities of the global/local approach, particular attention is given to the problems that mostly characterize composites, among which are those related to the free edge, the failure concept, and the interlaminar continuity of the displacements and shear stresses. The analyzed booms are the triangular, rollable, and collapsible; a tape-spring hinge; and a telescopic tubular mast. The results show a perfect accuracy of the in-plane stress components and an accurate description of the out-of-plane components, which is essential for a reliable design of these components in terms of free-edge debonding and failure phenomena.

Паратекстуальність роману М. Продановича «Колекція»: авторська концепція, історико-культурний к

At the present stage of comparative research, a solid theoretical and methodological basis for the phenomenon of intertextual relations has been developed, which allows for a differentiated approach and maximum response to the diversity of intertextual phenomena. Special attention is paid to various forms and genres of intertextual relations, and in particular paratextuality. According to its definitive qualities, it is obviously prone to heterogeneous figurative combinations and modifications, in particular, with discourses for which the primary definitive criterion is semiotic-sign morphology. The modifications made possible by this format, of course, are relevant in highlighting the diverse experience of literary poetics. From the perspective of this combinatorial tendency, the work of Mileta Prodanovich ‒ a contemporary Serbian artist, art critic, writer, winner of national and international awards in the field of literature, attracts more and more research attention. One of the iconic works of the artist is the novel “Collection”. The work is a response to current events in the field of culture ‒ both its modern conceptualization and special phenomena that shape today`s national and world cultural paradigm. In the scientific discourse a significant experience of understanding the poetics of Serbian great prose has been formed, as evidenced by published during the 20th and early 21st century works of domestic and foreign scientists. Accordingly, the expression in the work of M. Prodanovich “Collection” of the modification of paratextuality, realized in interaction with other manifestations of intertextuality, is relevant. The aim of this article is to focus on the figurative content of the paratextual component of the work in relation to poetics in accordance with other strategies of comparative studies, to determine the priorities of formal, semantic and contextual dimensions, the historical and cultural fate of the reality. The research is based on the productivity of comparative-historical and genetic-typological methods in combination with structural analysis and cultural-semiotic approach. The figurative content of the paratextual components of M. Prodanovich`s novel “Collection”, realized in the format of the title and a number of epigraphs, testifies to the existing threshold function, diversified by the original author’s improvisation. In its formal implementation it is necessary to distinguish a kind of complementary combination with figurative solutions that meet the definitive requirements of intertextuality, in particular allusions, as well as ekphrasis. The figurative actualization of the phenomenon of the ancient silverware collection Sevso plays a decisive role in the pronounced configuration. There are two supplementary lines in the system of complementary combination at the level of meaningmaking. The historical and cultural dimension of the reality, whose allusive and referential power proved to be decisive for the poetics of the novel, reveals in the work semantic reflexes related to such a prospective line as the humanization of the aesthetic. At the same time, the allusive actualization of the real context of this reality highlights a powerful semantic and meaningful plan. It should highlight the situation in which, because of unworthy violations of civilizational conventions derived from ethical norms, beautiful works of art, as the top embodiment of beauty, full of good inspiration, can’t fulfill its noble mission, provided by the essence of art: to bring good and joy to people. In the general sense-making, the trajectory of the postulation of the idea of the aspiration of humanity is announced by the semantic projection from the paratextual position in the figurative world of the “Collection”. Thus, in accordance with the contextual prospectus and the author`s concept, a set of priorities essential for the meaning of the novel is consolidated. They define the contours of the need for responsiveness and justice, and it turns out that the desire for good and humanity is potentiated.

Copper(II) Schiff base complex derived from salen ligand: structural investigation, Hirshfeld surface analysis, anticancer and anti-SARS-CoV-2

This work deals with the synthesis and characterization of copper(II) complex [Cu(salen)(H2O)](1) of salen-type Schiff base ligand derived from the condensation of 5-bromo-2-hydroxy-3-methoxybenzaldehyde and ethylenediamine in EtOH. This complex was characterized by different spectroscopic and physicochemical methods. Single crystal X-ray crystallography study revealed that Cu(II) in complex (1) is five-coordinate and adopts a distorted square pyramidal geometry. A DFT calculation was employed to evaluate the optimized electronic structure, HOMO-LUMO, energy gap, and global parameters. A detailed structural and non-covalent interaction on the complex is investigated by single crystal structure analysis and computational approaches. The strength of the interaction and 3D topology of the crystal packing are visualized through an energy framework. Hirshfeld surface and 2D fingerprint plots have been explored in the crystal structure of the complex. The anticancer properties of copper(II) complex was studied against the selected cancerous cell lines of breast cancer, cervical cancer, colon cancer and hepatocellular carcinoma. Additionally, molecular docking and MD simulations was performed on the complex to predict the binding mode and interactions between the ligand and the main protease of the SARS-CoV-2 (PDB ID: 7CBT and 7D1M). The molecular docking calculations of the complex (1) with SARS-CoV-2 virus revealed the binding energy of –8.1 kcal/mol and –7.5 kcal/mol with an inhibition constant of 3.245 µM and 2.318 µM at inhibition binding site of receptor towards 7CBT and 7D1M main protease (Mpro), respectively. Besides this, molecular docking results (–7.6 kcal/mol, 3.196 µM) towards Escherichia coli PBP2 targets (PDB ID: 6G9S) was also studied. Communicated by Ramaswamy H. Sarma

Multiscale analysis of composite structures with goal-oriented mesh adaptivity and reduced order homogenization

We present a multiscale finite element approach for composite structure analysis, applying reduced order homogenization to obtain an accurate surrogate model for microscale RVE computations and establishing macroscale mesh adaptivity towards an error control of a user-defined quantity of interest. By means of the so-called nonuniform transformation field analysis, reduced variables are deduced from a space–time decomposition of inelastic strain fields. Considering the macroscopic dissipation power as a volume-averaged microscopic dissipation power, closed-form macroscale constitutive relations are established, thus resulting into a reduced order homogenization problem. For ease of error estimate, we propose a multifield formulation for the reduced order problem. Based on duality techniques, a backward-in-time dual problem is derived from a Lagrange method, leading to error representations aiming at the quantity of interest. Accordingly, an efficient error estimator combined with a patch recovery technique avoiding nonlinear computations is proposed. The effectiveness of the resulting adaptive algorithm is illustrated by several numerical examples w.r.t. a prototype model.

Doublet Open‐Shell Graphene Fragments

Recent advances in neutral delocalized radical species based on polycyclic aromatic hydrocarbons with fused hexagonal rings, herein defined as doublet open-shell graphene fragments, are summarized in this review. A few simple yet useful theoretical approaches for structural analysis and molecular design were introduced at first. Then, based on the number of fused hexagonal rings, molecular systems with different size, symmetry and edge structure were discussed with emphasis on those isolated in the crystalline form. Their unique self-association behavior, chemical reactivity and physical properties were summarized and discussed, and insights on their functions and potential applications were provided.

The Nuclear Pore Complex: Birth, Life, and Death of a Cellular Behemoth.

Nuclear pore complexes (NPCs) are the only transport channels that cross the nuclear envelope. Constructed from ~500–1000 nucleoporin proteins each, they are among the largest macromolecular assemblies in eukaryotic cells. Thanks to advances in structural analysis approaches, the construction principles and architecture of the NPC have recently been revealed at submolecular resolution. Although the overall structure and inventory of nucleoporins are conserved, NPCs exhibit significant compositional and functional plasticity even within single cells and surprising variability in their assembly pathways. Once assembled, NPCs remain seemingly unexchangeable in post-mitotic cells. There are a number of as yet unresolved questions about how the versatility of NPC assembly and composition is established, how cells monitor the functional state of NPCs or how they could be renewed. Here, we review current progress in our understanding of the key aspects of NPC architecture and lifecycle.

Robust structured heterogeneity analysis approach for high-dimensional data.

Revealing relationships between genes and disease phenotypes is a critical problem in biomedical studies. This problem has been challenged by the heterogeneity of diseases. Patients of a perceived same disease may form multiple subgroups, and different subgroups have distinct sets of important genes. It is hence imperative to discover the latent subgroups and reveal the subgroup-specific important genes. Some heterogeneity analysis methods have been proposed in the recent literature. Despite considerable successes, most of the existing studies are still limited as they cannot accommodate data contamination and ignore the interconnections among genes. Aiming at these shortages, we develop a robust structured heterogeneity analysis approach to identify subgroups, select important genes as well as estimate their effects on the phenotype of interest. Possible data contamination is accommodated by employing the Huber loss function. A sparse overlapping group lasso penalty is imposed to conduct regularization estimation and gene identification, while taking into account the possibly overlapping cluster structure of genes. This approach takes an iterative strategy in the similar spirit of K-means clustering. Simulations demonstrate that the proposed approach outperforms alternatives in revealing the heterogeneity and selecting important genes for each subgroup. The analysis of Cancer Cell Line Encyclopedia data leads to biologically meaningful findings with improved prediction and grouping stability.

An efficient trans-scale and multi-stage approach for the deformation analysis of large-sized thin-walled composite structure in aircraft assembly

An efficient trans-scale and multi-stage approach for the deformation analysis of large-sized thin-walled composite structure in aircraft assembly

Partitioned path-following strategy for nonlinear structural analyses using the boundary element method

The appearance of snapping phenomena is frequent in structural analyses involving nonlinearities such as the propagation of localized damage zones, or cracks, as encountered in quasi-brittle materials. In the presence of snapping effects, the standard Newton-based algorithms cannot predict the equilibrium curves correctly by usual displacement or force control. This problem can be circumvented by using path-following techniques. This study proposes a numerical approach for nonlinear structural analysis based on the Boundary Element Method (BEM) coupled with a partitioned path-following strategy. In this strategy, the acting loads are divided into two groups: (a) those perfectly known and (b) those in which only the direction is known, while the magnitude (or load factor/multiplier) is determined to respect the equilibrium of the boundary fields (indirectly controlled) and an additional problem equation, the path-following constraint equation. The resulting nonlinear system is solved using an incremental iterative scheme. For each iteration, the corrections to the boundary fields are obtained in a partitioned manner. First, the portion coming from the unbalanced boundary fields is calculated. Then the correction resulting from a unit load in the direction of the load to be indirectly controlled is obtained. Finally, the load factor is calculated independently using the path-following constraint equation, which can be linear, nonlinear, differentiable, or not. In the numerical tests, the Control of the Nodal Displacement Increment (CNDI) is chosen as path-following constraint equation for the sake of illustration. The results show that the proposed approach can efficiently capture the equilibrium curve even in the presence of severe snap-backs. The approach is designed to be implemented in existing BEM codes straightforwardly, provided that the influence matrices can be accessed. Moreover, no additional pre-conditioning technique is required.

Systematic Approach for Finite Element Analysis of Thermoplastic Impregnated 3D Filament Winding Structures—Advancements and Validation

This work aims to enhance and validate a systematic approach for the structural finite element (FE) analysis of thermoplastic impregnated 3D filament winding structures (fiber skeletons). The idealized modeling of geometrically complex fiber skeletons used in previous publications is refined by considering additional characteristic dimensions and investigating their mechanical influence. Moreover, the modeling approach is transferred from the meso- to the macro-level in order to reduce modeling and computational effort. The properties of meso- and macro-level FE models are compared using the example of simple loop specimens. Based on the results, respective application fields are defined. In the next step, the same modeling approach is applied to a more complex, three-dimensional specimen—the inclined loop. For its macro-level FE model, additional material characterization and modeling, as well as enhancements in the modeling of the geometry, are proposed. Together with previously determined effective composite properties of fiber skeletons, these results are validated in experimental tensile tests on inclined loop specimens.

Efficient approach for dynamic reliability analysis based on uniform design method and Box-Cox transformation

This paper proposes a novel approach for dynamic reliability analysis of uncertain structures subjected to non-stationary stochastic excitations. This approach calculates the first-passage probabilities by evaluating the transformed extreme value distribution (TEVD) instead of the original extreme value distribution (EVD). The Box-Cox transformation is first used to symmetrize the extreme value, and then the generalized Gaussian distribution (GGD) is suggested to approximate the main body and tails of the TEVD. An absolute skewness minimization criterion is proposed to find the optimal Box-Cox transformation parameter. Furthermore, the random-function spectral representation method (RFSRM) and uniform design method (UDM) are successfully combined to estimate the first four central moments of the transformed extreme value with a small sample size. Two numerical examples involving linear and nonlinear shear-frame structures under nonstationary ground motions are investigated. The results indicate that the proposed method can be used for dynamic reliability analysis with high accuracy and efficiency.

LEXICON IN MANTRA LAMPUNG: ANALYSIS OF STRUCTURE AND MEANING

The purpose of this study is to describe the lexicon of the Lampung mantra. Using a structural analysis approach, the study describes a class of words or vocabulary through its distinctive structural markings. In addition, this study also uses lexical and grammatical meaning theory. Furthermore, the study used descriptive methods of analysis aimed at describing facts as they are. The data source was obtained from two books that contained Lampung spells. The results showed the existence of (1) morphological structure of Lampung mantra lexicon including basic words and derivative words. In addition, the derivative word is a Lampung vocabulary that has gained the process of a fixation, repetition process, or has undergone incorporation. (2) The meaning of the word revealed in the Lampung mantra there is lexical and grammatical.

Shakedown analysis of bounded kinematic hardening engineering structures under complex cyclic loads: Theoretical aspects and a direct approach

There exist two basic formulations of static shakedown theorem for bounded kinematic hardening (KH) model in literature. Whether the two formulations are equivalent, whether the conditions of loading-path-independence are satisfied, and how to employ the shakedown theorem to obtain the safety margin of realistic engineering structures under cyclic loading are some key issues to be solved and addressed. This paper presents theoretical aspects of the static shakedown theorem of KH and proposes a direct approach for shakedown analysis of KH structures. The presented direct approach allows for both the two shakedown formulations and considers the simultaneous influences of multiple load vertices. The two formulations are suitable for plastic models with different hardening laws and determine different shakedown load boundaries in the region of incremental collapse. Instead of dealing with a complicated problem of mathematical programming, the presented approach performs several linear elastic finite element iterative calculations, which ensures its high computational efficiency. Furthermore, the direct approach is implemented into Abaqus software platform so that it becomes a general tool to handle large-scale shakedown problems of engineering structures with complex geometry and loading conditions. An illustrative sample with analytical solution and three numerical examples from power plant engineering are adopted to validate these theoretical aspects and to present the potential of the direct approach.

Does Health Consciousness Matter to Adopt New Technology? An Integrated Model of UTAUT2 With SEM-fsQCA Approach.

Every emerging technology has its pros and cons; health-conscious users pay more importance to healthy and environment-friendly technologies. Based on the UTAUT2 model, we proposed a comprehensive novel model to study the factors influencing consumers’ decision-making to adopt the technology. Compared to prior studies that focused on linear models to investigate consumers’ technology adoption intentions and use behavior. This study used a Structural Equation Modeling-fuzzy set qualitative comparative analysis (SEM-fsQCA) approach to account for the complexity of customers’ decision-making processes in adopting new technology. We collected valid responses from 830 consumers, analyzed them, and evaluated them using a deep learning SEM-fsQCA technique to capture symmetric and asymmetric relations between variables. We have extensively incorporated a health-consciousness attitude as a predictor and mediator to understand better the decision-making toward technology adoption, specifically 5G technology. All the factors tested in our model are statistically significant except the economic factors. Health-consciousness attitude (HCA) and behavioral intention (BI) found significant predictors and valid mediators in the process of 5G technology adoption. FsQCA provided six configurations to achieve high 5G adoption. The findings have significant practical ramifications for telecom corporations, advertisers, government officials, and key policymakers. Additionally, the study added substantial theoretical literature to technology adoption, particularly the adoption of 5G technology.

Petri nets and ODEs as complementary methods for comprehensive analysis on an example of the ATM\u2013p53\u2013NF-kappaB signaling pathways

Intracellular processes are cascades of biochemical reactions, triggered in response to various types of stimuli. Mathematical models describing their dynamics have become increasingly popular in recent years, as tools supporting experimental work in analysis of pathways and regulatory networks. Not only do they provide insights into general properties of these systems, but also help in specific tasks, such as search for drug molecular targets or treatment protocols. Different tools and methods are used to model complex biological systems. In this work, we focus on ordinary differential equations (ODEs) and Petri nets. We consider specific methods of analysis of such models, i.e., sensitivity analysis (SA) and significance analysis. So far, they have been applied separately, with different goals. In this paper, we show that they can complement each other, combining the sensitivity of ODE models and the significance analysis of Petri nets. The former is used to find parameters, whose change results in the greatest quantitative and qualitative changes in the model response, while the latter is a structural analysis and allows indicating the most important subprocesses in terms of information flow in Petri net. Ultimately, both methods facilitate finding the essential processes in a given signaling pathway or regulatory network and may be used to support medical therapy development. In the paper, the use of dual modeling is illustrated with an example of ATM/p53/NF-kappaB pathway. Each method was applied to analyze this system, resulting in finding different subsets of important processes that might be prospective targets for changing this system behavior. While some of the processes were indicated in each of the approaches, others were found by one method only and would be missed if only that method was applied. This leads to the conclusion about the complementarity of the methods under investigation. The dual modeling approach of comprehensive structural and parametric analysis yields results that would not be possible if these two modeling approaches were applied separately. The combined approach, proposed in this paper, facilitates finding not only key processes, with which significant parameters are associated, but also significant modules, corresponding to subsystems of regulatory networks. The results provide broader insight into therapy targets in diseases in which the natural control of intracellular processes is disturbed, leading to the development of more effective therapies in medicine.