Analysis about Planning and Modification of the Upper and Lower Structures of the 38 Floor Apartment SkyHouse Project with Equivalent Static Analysis

The modeled building structure is a regular building, with the number of levels being varied. The structural model is divided into 38-level portals. This research uses the help of the SAP2000 v21 program to facilitate the earthquake analysis process. The results of the study that will be compared are displacements between levels and base shear that occur due to earthquake forces. The results of the analysis have shown that static analysis produces greater results for the structural models compared to dynamic analysis. The difference in displacement between levels produced by the two methods in the three structural models is still included in the displacement limits between levels of permission required in SNI 1726-2012, so that the three models can still be analyzed by static analysis and dynamic analysis. Because the results of displacement and base shear in static analysis are greater than dynamic analysis, static analysis is safer if used for earthquake force loading in general structural calculations. Although in earthquake analysis, dynamic analysis is a more accurate analysis because the analysis process is closer to the actual situation.

Poor Parenting on Underage Drinking Through Frustration and Impulsivity

Underage drinking continues to be a perilous social problem in the United States with its numerous negative consequences. Contributing to our understanding of this issue, the current study examined the relationship between poor parenting, frustration, impulsivity, and underage drinking. Based on the theoretical framework of Agnew’s general strain theory (GST), this study tested three structural models with national youth data ( N = 5,030). Results showed that poor parenting had a significant influence on frustration, impulsivity, and underage drinking. Particularly, frustration and impulsivity mediated the relationship between poor parenting and underage drinking. Further, impulsivity played a crucial role in GST. Additionally, an alternative model with a potential mediator (i.e., impulsivity) will provide insight to further our understanding of underage drinking.

Prioritization and ranking of lean practices: a case study

PurposeThe paper aims to identify, prioritize and rank lean practices in the context of an Indian automotive component manufacturing organization using interpretive ranking process (IRP) and interpretive structural modeling (ISM) approaches.Design/methodology/approachLean practices are identified from the literature. Then, two hierarchical models were are developed using two distinct modeling approaches – ISM and IRP with expert opinions from an Indian automotive component manufacturing organization to analyze the contextual relationships among the various lean practices and to prioritize and rank them with respect to performance dimensions.FindingsIn the study, the hierarchical structural models are developed using ISM and IRP approaches for an Indian automotive component manufacturing organization. In ISM-based modeling, lean practices can be categorized into five levels. Top priority should be given to the motivators followed by value chain, system/technology and organization centric practices. IRP model shows the dominance relationship among the various lean practices with respect to performance dimensions.Practical implicationsThe models are constructed from the organizational standpoint to evaluate their impact to the implementation of lean manufacturing. The study leverages the organizations to prioritize limited resources as per the hierarchy. Managers get the inter-linkages and ranking of various lean practices, which leads to a better perspective for the effective implementation of lean. The structural models also assist management to assign proper roles to employees/departments for effective lean implementation.Originality/valueThere is hardly any structural model of lean practices in the literature for clustering, prioritizing and ranking of lean practices. The study fills this gap and develops the hierarchical models of lean practices through IRP and ISM approaches for an Indian automotive component manufacturing organization. The results from both approaches are compared for illustrating the benefits of one over the other.

Masa Kerja: Pemoderasi Pengawasan dan Budaya Organisasi Terhadap Kinerja Karyawan

Penelitian bermaksud menganalisis masa kerja sebagai pemoderasi pengawasan dan budaya orgaisasi terhadap kinerja. Data diperoleh dari kuesioner yang diberikan kepada 50 karyawan PT. Anugerah Analisis Sempurna melalui google form. Analisis data dengan model struktur diolah menggunakan WarpPLS. Temuan penelitian adalah adanya peran masa kerja dalam memoderasi pengawasan terhadap kinerja tetapi tidak memoderasi budaya organisasi terhadap kinerja.Research intends to analyze working period as a moderation of supervision and a culture of performance. The data was obtained from questionnaires given to 50 employees of PT. Anugerah Analisis Sempurna through google form. Data analysis with structural models is processed using WarpPLS. The study's findings were that there was a role for the work in moderating oversight of performance but not as moderating of the organization's culture toward performance.

THE CONCEPT OF “EYE” IN THE ART OF ANNA AKHMATOVA: IMAGE OF “BODY-MAKING MAN”

The anthropocentric postulates of Silver age’s poetry “acmeism” are opened as an idea of continuity of cultural and civilization models; the concept of "spiritual body of the Universe", of world physiological basis are represented. The article reveals the idea of continuity of cultural and civilization models in the works of acmeism representatives. The conceptual importance of the somatic lexicon as the name of parts of a body is analyzed in A. Akhmatova's masterpieces, especially the “eye” image. It is important to analyze the somatic lexicon as a component of the model of "body-making man” reproducing the most harmonious condition of the world. The authors of the article interpret static data determining the character and the number of references to the concept “eye” in A. Akhmatova's poetry and deduce the main regularities of the use of this concept. The structural models of constructions that include "eye" are revealed; the most productive semantic groups corresponding to traditional cultural interpretations and archetypes are highlighted. The main interpretations of the “eye” as a retranslator of inner feelings, a means of cognition of the world, a semantic detail of mythological and individual-author images are highlighted. The antithesis “closed eye - open eye” is introduced, the color symbolism of the “eye” is deciphered. The paper differentiates cultural and individual-author associative rows of the studied units. The authors of the article hypothesize the importance of “eye” in the works of A. Akhmatova as a part of the concept of “spiritual body of the Universe”; they reveal the dualism of this organ, which combines the experience of studying the outer world with the function of a conductor of feelings and emotions to the outer world. The idea of the fruitfulness of further observations on the functioning of somatic vocabulary in the works of A. Akhmatova in the aspect of anthropocentric model is introduced.

Structure-guided glyco-engineering of ACE2 for improved potency as soluble SARS-CoV-2 decoy receptor

Infection and viral entry of SARS-CoV-2 crucially depends on the binding of its Spike protein to angiotensin converting enzyme 2 (ACE2) presented on host cells. Glycosylation of both proteins is critical for this interaction. Recombinant soluble human ACE2 can neutralize SARS-CoV-2 and is currently undergoing clinical tests for the treatment of COVID-19. We used 3D structural models and molecular dynamics simulations to define the ACE2 N-glycans that critically influence Spike-ACE2 complex formation. Engineering of ACE2 N-glycosylation by site-directed mutagenesis or glycosidase treatment resulted in enhanced binding affinities and improved virus neutralization without notable deleterious effects on the structural stability and catalytic activity of the protein. Importantly, simultaneous removal of all accessible N-glycans from recombinant soluble human ACE2 yields a superior SARS-CoV-2 decoy receptor with promise as effective treatment for COVID-19 patients.

Investigation of Structural, Electronic and Thermoelectric Properties of Two-Dimensional Graphdiyne/Borophene Monolayers and Hetero-bilayers

The integration of dissimilar 2D materials is important for nanoelectronic and thermoelectric applications. Among different polymorphs and different bond geometries, borophene and graphdiyne are two promising candidates for these applications. In the present paper, we have studied hetero-bilayers comprising graphdiyne-borophene (GDY-BS) sheets. Three structural models, namely S0, S1 and S2 have been used for borophene sheets. The optimum interlayer distance for the hetero-bilayers was obtained through binding energy calculations. Then, the structure and electronic properties of the monolayers and hetero-bilayers were individually examined and compared. Graphdiyne monolayer was shown to be a semiconductor with a band gap of 0.43 eV, while the borophene monolayers, as well as all studied hetero-bilayers showed metallic behavior. The thermoelectric properties of borophene and graphdiyne monolayers and the graphdiyne-borophene bilayers were calculated on the basis of the semi-classical Boltzmann theory. The results showed signs of improvement in the conductivity behavior of the hetero-bilayers. Furthermore, considering the increase in Seebeck coefficient and the conductivity for all the structures after calculating figure of merit and power factor, a higher power factor and more energy generation were observed for bilayers. These results show that the GDY-BS hetero-bilayers can positively affect the performance of thermoelectric devices,

Structural models of SARS-CoV-2 Omicron variant in complex with ACE2 receptor or antibodies suggest altered binding interfaces

There is enormous ongoing interest in characterizing the binding properties of the SARS-CoV-2 Omicron Variant of Concern (VOC) (B.1.1.529), which continues to spread towards potential dominance worldwide. To aid these studies, based on the wealth of available structural information about several SARS-CoV-2 variants in the Protein Data Bank (PDB) and a modeling pipeline we have previously developed for tracking the ongoing global evolution of SARS-CoV-2 proteins, we provide a set of computed structural models (henceforth models) of the Omicron VOC receptor-binding domain (omRBD) bound to its corresponding receptor Angiotensin-Converting Enzyme (ACE2) and a variety of therapeutic entities, including neutralizing and therapeutic antibodies targeting previously-detected viral strains. We generated bound omRBD models using both experimentally-determined structures in the PDB as well as machine learning-based structure predictions as starting points. Examination of ACE2-bound omRBD models reveals an interdigitated multi-residue interaction network formed by omRBD-specific substituted residues (R493, S496, Y501, R498) and ACE2 residues at the interface, which was not present in the original Wuhan-Hu-1 RBD-ACE2 complex. Emergence of this interaction network suggests optimization of a key region of the binding interface, and positive cooperativity among various sites of residue substitutions in omRBD mediating ACE2 binding. Examination of neutralizing antibody complexes for Barnes Class 1 and Class 2 antibodies modeled with omRBD highlights an overall loss of interfacial interactions (with gain of new interactions in rare cases) mediated by substituted residues. Many of these substitutions have previously been found to independently dampen or even ablate antibody binding, and perhaps mediate antibody-mediated neutralization escape (e.g., K417N). We observe little compensation of corresponding interaction loss at interfaces when potential escape substitutions occur in combination. A few selected antibodies (e.g., Barnes Class 3 S309), however, feature largely unaltered or modestly affected protein-protein interfaces. While we stress that only qualitative insights can be obtained directly from our models at this time, we anticipate that they can provide starting points for more detailed and quantitative computational characterization, and, if needed, redesign of monoclonal antibodies for targeting the Omicron VOC Spike protein. In the broader context, the computational pipeline we developed provides a framework for rapidly and efficiently generating retrospective and prospective models for other novel variants of SARS-CoV-2 bound to entities of virological and therapeutic interest, in the setting of a global pandemic.