Modeling Analysis Research Articles

Research on Safety Performance Evaluation and Improvement Path of Prefabricated Building Construction Based on DEMATEL and NK

To address the common issues of lacking indicator system identification, causal relationship quantification, and path simulation analysis in the current research on safety performance in prefabricated construction, a method for improving safety performance in prefabricated construction based on the decision-making trial and evaluation laboratory (DEMATEL) and NK model is proposed. Firstly, through theoretical analysis and literature review, the indicator system for safety performance in prefabricated construction is identified using the grounded theory. Secondly, expert research and quantitative analysis are combined to analyze the causal relationship of the indicators using the DEMATEL method. Then, the DEMATEL method is integrated with the NK model to carry out a key indicator adaptability modeling analysis and three-dimensional simulation. Finally, a case study is conducted to validate the usability and effectiveness of the proposed model and method. The results show that X6 (construction and implementation of safety management system) had the highest impact on the other indicators, and X14 (quality and safety status of prefabricated components) was most influenced by other indicators. X6 (construction and implementation of safety management system), X1 (personnel safety awareness and attitude), X14 (quality and safety status of prefabricated components), and X12 (construction site working environment) were identified as key performance indicators. “X6 (construction and implementation of safety management system) → X1 (personnel safety awareness and attitude) → X14 (quality and safety status of prefabricated components) → X12 (construction site working environment)” was considered the optimal path to improve construction safety performance.

Methylparaben changes the community composition, structure, and assembly processes of free-living bacteria, phytoplankton, and zooplankton

Parabens are common contaminants in river and lake environments. However, few studies have been conducted to determine the effects of parabens on bacteria, phytoplankton, and zooplankton communities in aquatic environments. In this study, the effect of methylparaben (MP) on the diversity and community structure of the aquatic plankton microbiome was investigated by incubating a microcosm with MP at 0.1, 1, 10, and 100 μg/L for 7 days. The results of the Simpson index showed that MP treatment altered the α-diversity of free-living bacteria (FL), phytoplankton, and zooplankton but had no significant effect on the α-diversity of particle-attached bacteria (PA). Further, the relative abundances of the sensitive bacteria Chitinophaga and Vibrionimonas declined after MP addition. Moreover, the relative abundances of Desmodesmus sp. HSJ717 and Scenedesmus armatus, of the phylum Chlorophyta, were significantly lower in the MP treatment group than in the control group. In addition, the relative abundance of Stoeckeria sp. SSMS0806, of the Dinophyta phylum, was higher than that in the control group. MP addition also increased the relative abundance of Arthropoda but decreased the relative abundance of Rotifera and Ciliophora. The β-diversity analysis showed that FL and phytoplankton communities were clustered separately after treatment with different MP concentrations. MP addition changed community assembly mechanisms in the microcosm, including increasing the stochastic processes for FL and the deterministic processes for PA and phytoplankton. Structural equation modeling analysis showed a significant negative relationship between bacteria richness and phytoplankton richness, and a significant positive relationship between phytoplankton (richness and community composition) and zooplankton. Overall, this study emphasizes that MP, at environmental concentrations, can change the diversity and structure of plankton microbial communities, which might have a negative effect on ecological systems.

PENGARUH PROMOSI, KUALITAS PRODUK DAN KUALITAS PELAYANAN TERHADAP KEPUTUSAN PEMBELIAN PADA TOKO BANGUNAN CITRA UTAMA

In this day and age, it is necessary to increase the purchase of a product. Consumer purchasing decisions regarding a product need to be considered. The aim of this research is to determine the influence of promotions, product quality and service quality on product purchasing decisions at the Citra Utama Building Store. The population in this research is all consumers who have purchased products at the Citra Utama Building Store. The sample used in this research was 100 respondents. The sampling technique uses probability sampling techniques. Data collection was carried out by respondents filling out existing questionnaires. In this research, structural Equation Modeling (SEM) analysis tools were used, with an emphasis on the Partial Least Squares (PLS) method, and the tool used was Smart PLS version 4.0. Data analysis testing includes checking the Convergent Validity of the Outer Model, Reliability, as well as evaluating the Inner Model which includes R Square, F-Square, and Hypothesis Testing. The results of this research show that promotion and service quality have a positive and significant effect on purchasing decisions at the main image building store. Meanwhile, product quality has no influence on product purchasing decisions at the main image building store.

Unlocking a Key Residue in a Lipase for Efficient Polyethylene Terephthalate (PET) Hydrolysis and Influencing Depolymerization Product Profiles

Polyethylene terephthalate (PET) pollution is a global challenge. Advancing the bioprospecting of PET‐degrading enzymes through metagenomics and using computational and functional methods to identify key positions influencing the catalytic rate and selectivity are part of the solution. Here, we report PETase activity in the metagenomic lipase LipMRD9, which exhibits peak activity at 30 °C and pH 9.0 and has a denaturation temperature of 42 °C. In addition to acting on long‐chain triglycerides (up to 13 units (U)/mg, pH 8.0, 30 °C) and a wide range of 34 other esters (up to 228 U/g), LipMRD9 hydrolyses mono(2‐hydroxyethyl) terephthalate (57 U/g) and bis(2‐hydroxyethyl) terephthalate (131 U/g). It also efficiently deconstructs GoodFellow amorphous submicro‐ and nanosized PET particles (984/2238 µM degradation products at 30/40 °C, pH 7.0, 21.5 h) and films (112/198 µM degradation products at 30/40 °C, pH 7.0, 7 days). Through molecular modelling and experimental analysis, the active site of LipMRD9 was revealed, identifying a key residue contributing to its PETase activity compared with those of its closest homologues. This residue plays a crucial role in determining the distinct profiles of degradation products from PET hydrolysis and should be studied in other PETases for its influence on the catalytic process.

Exploring the relationships between digital transformation, organizational slack and business performance: a configurational approach

PurposeThe survival of companies today hinges on their adaptability and flexibility, with digital transformation (DT) and organizational slack (OS) playing crucial roles. Despite their recognized importance, these factors are often studied separately. This study aims to explore how OS facilitates DT and evaluate their synergies and trade-offs to improve performance.Design/methodology/approachUsing data from the European Manufacturing Survey, structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA), we investigate causal relationships and possible combinations between different dimensions of OS and DT that contribute to business performance.FindingsWe confirmed the positive effect of OS and DT on business performance, highlighting the importance of organizational over technological factors. While not definitively establishing OS as a precursor to DT, our findings underscore the need for human and operational slack to improve performance, especially in less technology-intensive contexts.Research limitations/implicationsOur findings evidence that decision-makers should integrate OS with DT initiatives to improve the firm’s competitiveness. However, it is worth noting that while OS seems essential in low-tech shopfloors, its importance is lower in high-tech environments. Furthermore, within the possible combinations, managers should promote operational slack and digitalization, as it seems fundamental to improve business performance.Originality/valueThis article contributes to the management field in three ways. First, it clarifies controversies by providing evidence of the positive roles of DT and OS as drivers of competitiveness for manufacturing firms. Second, we verify that OS is not directly linked to DT, challenging existing assumptions. Third, it investigates the combinations of OS and DT that drive business performance improvement, emphasizing their synergies and trade-offs.

Hydrogeochemical analysis of processes affecting HCH removal using ZVI-based treatment technology

In the 1960s, ca. 3000–5000 tons of HCH residue were disposed of in an overburden dump at the Hájek kaolin/uranium mine site (Czech Republic). The dump leachate, which has a 136 μg/l average total content of hexachlorocyclohexane (HCH) isomers, discharges into a local creek and contaminates the ecosystem. A full-scale prototype for the treatment of dump leachate comprised three sequential stages: 1) permeable reactive modules filled with macro-zerovalent iron (mZVI), 2) a biosorption module and 3) an aerobic wetland module. After commissioning, HCH removal efficiency reached 95%, but decreased to 70% over the following 230 days, primarily due to the efficiency of the mZVI modules dropping from 76% to 39%. Hydrogeochemical analysis and geochemical modelling revealed that the reduction in efficiency was mainly caused by passivation of mZVI surfaces and clogging of mZVI pore spaces through precipitation of goethite, calcite and rhodochrosite, or siderite and magnetite instead of goethite where boundary conditions for O2 differed. XRD analysis of the solid phase from the mZVI modules confirmed the geochemical modelling results. The major part of the precipitated products (46–66 wt%) comprised a ferric hydroxide amorphous phase, especially in the initial mZVI module inlet, with goethite the second most abundant precipitate (10–40 wt%). Siderite and calcite also mainly precipitated in the initial module inlet. In conclusion, mZVI appears to be a suitable reductant for HCH; however, the longevity of the ZVI-based treatment system was negatively affected by precipitates in the presence of high concentrations of iron, manganese and carbonate species.

Home literacy environment mediated socioeconomic status’ impact on handwriting skill of children with intellectual disabilities

Objectives Mastering Chinese handwriting is a fundamental skill, yet it poses a challenging task for children with intellectual disability (ID). Socioeconomic status (SES) and home literacy environment (HLE) are two important family factors known to influence children’s academic achievement. This study aimed to explore the HLE’s role in SES’ influence on Chinese handwriting skill of children with ID. Methods Chinese handwriting skill was tested directly on 192 children with ID (7-12 years old), while SES and HLE questionnaires were completed by their parents. Data entry, analysis and structural equation modeling were performed using the Statistical Package for Social Sciences software. Results SES was shown not directly correlated with any of the three handwriting skills (β = 0.02, p > 0.05). Instead, the former influenced the latter indirectly via HLE; informal HLE played a complete intermediary role in this relationship (SES-informal HLE: β = 0.42, p < 0.001; informal HLE-handwriting skill: β = 0.41, p < 0.001), while formal HLE had no effect (SES-formal HLE: β = 0.34, p < 0.001; formal HLE-handwriting skill: β=-0.10, p > 0.05). Conclusions SES influences Chinese handwriting of children with ID via mediation by informal HLE. These findings emphasize the importance of maintaining high SES and creating rich HLE in the development of Chinese handwriting skill of children with ID.

Impact of narrative nursing cognition, self-efficacy, and social support on the practices of registered nurses in China: a structural equation modeling analysis

BackgroundNarrative nursing is a novel approach according with humanistic care, which has been shown to be effective in improving health outcomes for both patients and nurses. Nevertheless, few studies have investigated the status of narrative nursing practice among nurses, and a comprehensive understanding of factors influencing this practice remains elusive.DesignThis was an observational, cross-sectional study using convenience sampling method.MethodsAfter obtaining the informed consent, a total of 931 registered nurses from three hospitals in China were investigated. Data were collected using the Social Support Rating Scale, the General Self-efficacy Scale, and the Knowledge-Attitude-Practice Survey of Clinical Nurses on Narrative Nursing. All the scales were validated in the Chinese population. The questionnaire results were verified by an independent investigator. Factors influencing narrative nursing practice were determined through a series of analyses, including independent sample t-tests, one-way ANOVA, and Pearson correlations. Subsequently, path analysis was performed and a structural equation model was established.ResultsThe score of narrative nursing practice in this study was 30.26 ± 5.32. The structural equation model showed a good fit, with a Root Mean Square Error of Approximation (RMSEA) of 0.007 (90%CI: 0.000, 0.047). Both social support and narrative nursing attitude could directly affect narrative nursing practice (βsocial support = 0.08, P < 0.001; βattitude = 0.54, P < 0.001) and indirectly influence it via self-efficacy (βsocial support = 0.04, P < 0.001; βattitude = 0.06, P < 0.001). In addition, narrative nursing knowledge (β = 0.08, P < 0.001) and the nurses’ growth environment (β=-0.06, P < 0.001) also affected the practice of narrative nursing.ConclusionNarrative nursing in China is at a medium level and could be influenced by several personal and environmental factors. This study highlighted the critical role of nursing management in the advancement of narrative nursing practices. Nurse managers should prioritize specialized training and cultivate supportive environments for nurses to improve their narrative nursing practices.

Unveiling customer engagement dynamics in the metaverse: A retrospective bibliometric and topic modelling investigation

This study is a comprehensive retrospective bibliometric and topic modelling analysis of customer engagement within the metaverse. We carefully investigated a sample of 409 articles extracted from the Scopus database and used in this analysis. The aim was to explore the evolution, current state, and emerging trends in this rapidly evolving field. Utilizing advanced bibliometric tools including Biblioshiny and ScientoPy, alongside network visualisation software VOSviewer, we systematically mapped the intellectual landscape, identifying key publications, authors, and institutions that have significantly contributed to the discourse. Furthermore, through machine learning-based Latent Dirichlet Allocation (LDA) analysis, we dissected the thematic structure of the literature, revealing the predominant topics and their interrelations. Our findings highlighted the dynamic nature of customer engagement strategies in the metaverse, emphasizing Design of Immersive Platforms, Personalisation & Customization, and the Interaction & Participation implications of virtual interactions. This study not only synthesizes existing knowledge but also uncovers gaps in the literature, suggesting directions for future research. By providing a holistic view of the domain, this research serves as a valuable resource for academics, practitioners, and policymakers interested in the intersection of customer engagement and virtual environments.

Exploring public-private partnerships in Latin America and the Caribbean using topic modeling and sentiment analysis

Collaboration between the public and private sectors is crucial for supporting resource-constrained government budgets globally. Over the past two decades, studies have recorded significant advances in public-private partnerships (PPPs). However, PPPs in agribusiness within Latin America and the Caribbean (LAC) remain underexplored. This study analyzes the primary issues related to PPPs in agribusiness across selected countries and compares sentiments regarding these partnerships within the analyzed countries. Using text mining, topic modeling, and sentiment analysis, the study found that the main issues revolve around infrastructure, impacting trade, flow, and services in regional, national, and continental agribusiness and exports. While PPPs are seen as an innovative approach to improving public services, sentiment analysis reveals that many countries express anger and disgust, primarily due to concerns about corruption and the state’s inability to manage or play an effective role in these public policies. This study highlights that integrating topic and sentiment data offers a comprehensive view that can inform more effective public policies and development strategies for PPPs in agribusiness.

Metapopulation model of phage therapy of an acute Pseudomonas aeruginosa lung infection.

Phage therapy is increasingly employed as a compassionate treatment for severe infections caused by multidrug-resistant (MDR) bacteria. However, the mixed outcomes observed in larger clinical studies highlight a gap in understanding when phage therapy succeeds or fails. Previous research from our team, using in vivo experiments and single-compartment mathematical models, demonstrated the synergistic clearance of acute P. aeruginosa pneumonia by phage and neutrophils despite the emergence of phage-resistant bacteria. In fact, the lung environment is highly structured, prompting the question of whether immunophage synergy explains the curative treatment of P. aeruginosa when incorporating realistic physical connectivity. To address this, we developed a metapopulation network model mimicking the lung branching structure to assess phage therapy efficacy for MDR P. aeruginosa pneumonia. The model predicts the synergistic elimination of P. aeruginosa by phage and neutrophils but emphasizes potential challenges in spatially structured environments, suggesting that higher innate immune levels may be required for successful bacterial clearance. Model simulations reveal a spatial pattern in pathogen clearance where P. aeruginosa are cleared faster at distal nodes of the bronchial tree than in primary nodes. Interestingly, image analysis of infected mice reveals a concordant and statistically significant pattern: infection intensity clears in the bottom before the top of the lungs. The combined use of modeling and image analysis supports the application of phage therapy for acute P. aeruginosa pneumonia while emphasizing potential challenges to curative success in spatially structured in vivo environments, including impaired innate immune responses and reduced phage efficacy.

Modeling and operational characteristics analysis of a dual-source synergetic heat pump based on air energy and biomass waste heat

Air source heat pumps have gradually become a widely used heating solution worldwide due to their advantages of high efficiency, energy conservation, and environmental protection. However, air source heat pumps also face some challenges in practical applications, such as unstable heating and performance degradation in low-temperature environments. In order to improve these problems, based on the cascade heat technology, a new type of dual-source synergetic heat pump system is designed using air energy and biomass waste heat dual heat sources. In order to study its performance, a simulation model of the heat pump system was first constructed using distributed-parameter method. In order to verify the effectiveness of the model, an 18-kW heat pump experimental unit was constructed. By comparing the three key parameters of user side outlet water temperature, high-temperature compressor power, and system coefficient of performance (COP), the results show that the maximum error does not exceed 11 %; Secondly, in order to improve the stability and operational efficiency of the system, a three-level control strategy was designed based on considering the coordination of different grade heat sources; Finally, based on the above, the operating characteristics of the heat pump system were investigated through testing under different external input conditions. The research results indicate that by utilizing cascade heating and parallel heat exchange technology, the heat pump system can achieve stable heating even under large fluctuations in external working conditions. At the same time, compared with air source heat pumps, the COP can be improved by 69.7 % in low-temperature environments. The system results not only provide reference for the design and operation of new heat pump systems, but also provide practical and feasible solutions for the problem of decreased heat pump performance in low-temperature environments.

Whole-brain mechanism of neurofeedback therapy: predictive modeling of neurofeedback outcomes on repetitive negative thinking in depression

Real-time fMRI neurofeedback (rtfMRI-NF) has emerged as a promising intervention for psychiatric disorders, yet its clinical efficacy remains underexplored due to an incomplete mechanistic understanding. This study aimed to delineate the whole-brain mechanisms underpinning the effects of rtfMRI-NF on repetitive negative thinking in depression. In a double-blind randomized controlled trial, forty-three depressed individuals underwent NF training targeting the functional connectivity (FC) between the posterior cingulate cortex and the right temporoparietal junction, linked to rumination severity. Participants were randomly assigned to active or sham groups, with the sham group receiving synthesized feedback mimicking real NF signal patterns. The active group demonstrated a significant reduction in brooding rumination scores (d = −1.52, p < 0.001), whereas the sham group did not (d = −0.23, p = 0.503). While the target FC did not show discernible training effects or group differences, connectome-based predictive modeling (CPM) analysis revealed that the interaction between brain activity during regulation and brain response to the feedback signal was the critical factor in explaining treatment outcomes. The model incorporating this interaction successfully predicted rumination changes across both groups. The FCs significantly contributing to the prediction were distributed across brain regions, notably the frontal control, salience network, and subcortical reward processing areas. These results underscore the importance of considering the interplay between brain regulation activities and brain response to the feedback signal in understanding the therapeutic mechanisms of rtfMRI-NF. The study affirms rtfMRI-NF’s potential as a therapeutic intervention for repetitive negative thinking and highlights the need for a nuanced understanding of the whole-brain mechanisms contributing to its efficacy.

Mental health issues of higher education students reflected in academic research: A text mining study

Objective: This study investigated mental health issues among higher education students to identify key concepts, topics, and trends over three periods of time: Period 1 (2000–2009), Period 2 (2010–2019), and Period 3 (2020–May 2024). Methods: The study collected 11,732 bibliographic records from Scopus and Web of Science, published between January 2000 and May 2024, and employed textual analysis methods, including keyword co-occurrence analysis, cluster analysis, and topic modeling. Results: In Period 1, general topics related to mental health disorders and treatments were identified. Period 2 showed prominence of well-being and help-seeking, as well as the emergence of digital mental health. Period 3 emphasized the impact of COVID-19 and increased technology usage. Conclusions: Based on the findings, we discussed the significance of the study and practical implications for clinicians and policymakers, as well as methodological implications for researchers. Additionally, the limitations of the study and future research were addressed.

Identification and functional analysis of C-type lectin from mosquito Aedes albopictus in response to dengue virus infection

BackgroundC-type lectins (CTLs) are a large family of proteins with sugar-binding activity. CTLs contain an evolutionarily conserved C-type lectin domain (CTLD) that binds microbial carbohydrates in a calcium-dependent manner, thereby playing a key role in both microbial pathogenesis and innate immune responses. Aedes albopictus is an important vector for transmitting dengue virus (DENV) worldwide. Currently, the molecular characteristics and functions of CTLs in Ae. albopictus are largely unknown.MethodsTranscripts encoding CTL proteins in the Ae. albopictus genome assembly were analyzed via sequence blast. Phylogenetic analysis and molecular characterization were performed to identify the functional domains of the CTLs. Quantitative analysis was performed to determine the gene expression features of CTLs during mosquito development and in different tissues of female adults after blood feeding. In addition, the functional role of CTLs in response to DENV infection was investigated in Ae. albopictus mosquito cells.ResultsWe identified 39 transcripts encoding CTL proteins in the Ae. albopictus transcriptome. Aedes albopictus CTLs are classified into three groups based on the number of CTLDs and the domain architecture. These included 29 CTL-Ss (single-CTLDs), 1 immulectins (dual-CTLD) and 9 CTL-Xs (CTLDs with other domains). Phylogenetic analysis and structural modeling indicated that CTLs in Ae. albopictus are highly conserved with the homologous CTLs in Aedes aegypti. The expression profile assay revealed differential expression patterns of CTLs in both developmental stages and in adult female tissues. Knockdown and overexpression of three CTLs (CTL-S12, S17 and S19) confirmed that they can promote dengue virus infection in Ae. albopictus cells.ConclusionsThe CTL genes in Ae. albopictus mosquito and other mosquito species are evolutionarily conserved and exhibit different developmental and tissue expression features. The functional assay indicated that three CTLs in Ae. albopictus mosquitoes are involved in promoting dengue virus infection. Our study revealed that CTLs play important roles in both the physiological processes and viral infection in mosquito vectors.Graphical

Key microbial taxa play essential roles in maintaining soil muti-nutrient cycling following an extreme drought event in ecological buffer zones along the Yangtze River.

Climatic extremes, especially extreme droughts, are occurring more frequently and profoundly impacting biogeochemical processes. However, the relative importance of microbial communities on soil nutrient cycling and community maintenance under natural extreme drought events remains elusive. During a record-breaking drought in the Yangtze River Basin (YRB) in the summer of 2022, we collected ambient soils and drought-affected bare and vegetated soils in ecological buffer zones from two sites with similar soil and vegetation characteristics along the YRB, and examined the relative contribution of soil bacterial communities in supporting multi-nutrient cycling index (MNCI) involving carbon-, nitrate- and phosphorus-cycling and their associations with microbial network. Extreme drought decreased (p < 0.05) bacterial α-diversity but increased MNCI in vegetated soils at both sites, while both remained unchanged (p > 0.05) in bare soils, possibly as a result of vegetation releasing rhizodeposits under drought which selectively recruited bacterial communities. Bacterial community compositions were shifted (p < 0.05) only in vegetated soils, and they exerted more influence than α-diversity on soil MNCI. Notably, the Anaerolineae, identified as a biomarker enriched in vegetated soils, had close associations with enzyme activities and soil MNCI at both sites, suggesting their potential recruitment by vegetation to withstand drought. Furthermore, key ecological clusters (Module 1) in bacterial co-occurrence networks at both sites supported (p < 0.05) higher MNCI, despite no substantial variation in network structure due to drought. Specifically, the most important taxa within Module 1 for predicting soil MNCI revealed by random forest modeling analysis (R2=0.44 - 0.63, p < 0.001), such as B1-7BS, SBR1031 and Nocardioides, could be deeply involved in soil nitrogen-cycling, suggesting an essential role of specialized interactions of bacterial communities in maintaining soil multifunctionality. Overall, this study demonstrates that changes in biomarkers and functional taxa under extreme drought may better reflect the biological mechanisms involved in microbial communities impacting ecosystem function, which may aid in forecasting the ecological consequences of ongoing climate change in the ecological buffer zones along the YRB.

The impact of teacher work engagement on student engagement: Teaching quality as a mediator

Considering the significance of student engagement as a contributing factor to academic achievement, it is crucial to investigate the methods by which teachers can encourage learning engagement. To this end, we examined the influence of teacher work engagement on student engagement, placing a particular emphasis on the mediating impact of teaching quality. Chinese teachers (N = 291) at a national teaching seminar completed a survey. Structural equation modeling analysis of the data confirmed that teacher work engagement had a positive relationship with both teaching quality and student engagement. Moreover, teacher work engagement indirectly affected student engagement via its mediating impact on teaching quality. This research contributes to the elucidation of the underlying mechanism governing the association between teacher work engagement and student engagement.

FLARE: field line analysis and reconstruction for 3D boundary plasma modeling

Abstract The FLARE code is a magnetic mesh generator that is integrated within a suite of tools for the analysis of the magnetic geometry in toroidal fusion devices. A magnetic mesh is constructed from field line segments and permits fast reconstruction of field lines in 3D boundary plasma codes such as EMC3-EIRENE. Both intrinsically non-axisymmetric configurations (stellarators) and those with symmetry breaking perturbations of an axisymmetric equilibrium (tokamaks) are supported. The code itself is written in Modern Fortran with MPI support for parallel computing, and it incorporates object-oriented programming for the definition of the magnetic field and the material surface geometry. Extended derived types for a number of different magnetohydrodynamic equilibrium and plasma response models are implemented. The core element of FLARE is a field line tracer with adaptive step-size control, and this is integrated into tools for the construction of Poincaré maps and invariant manifolds of X-points. A collection of high-level procedures that generate output files for visualization is build on top of that. The analysis modules are build with Python frontends that facilitate customization of tasks and/or scripting of parameter scans.

EVALUASI ANALISIS GEOTEKNIK PADA TAMBANG TERBUKA BATUBARA PIT NORTH WEST PT ANAK TAMBANG INDONESIA JOB SITE PT ADIMITRA BARATAMA NUSANTARA, KALIMANTAN TIMUR

On a mine slope there will be a driving force and a resisting force. The mine slope will collapse if the driving force is greater than the resisting force. Thus, the principle of mitigating mine slope failure is to reduce the driving force or increase the resisting force. PT Adimitra Baratama Nusantara intends to develop a new mining area in the North-West area within the IUP area. Therefore, it is necessary to carry out a geotechnical study that focuses on slope stability analysis to support open-pit coal mining plans based on data from geotechnical investigations in the field, secondary data and geotechnical laboratory test data. Geotechnical modeling for slope stability analysis was carried out using the Finite Element Method because the overburden and interburden sedimentary rocks of coal seams are considered to have behavior approaching elasto-plastic, so that it will provide results that are close to the actual situation in the field. Modeling and slope stability analysis of the mine opening design represented by section-01 and section-03 with the height of each opening being 126 m and 119 m shows that the high-wall and low-wall slope designs are not yet stable, so a re-design is necessary. with the mine opening floor simulated at level -110 and level -90.

Impact of music learning on students' psychological development with mediating role of self-efficacy and self-esteem.

Professionals and academics have recently placed a greater emphasis on comprehending the elements that go into improving students' psychological wellbeing. Students frequently face major obstacles as a result of the rigorous nature of academic life, which can result in problems like tension, depression and other psychological health concerns. These complications have a long-lasting influence on their future aspirations in addition to affecting their academic achievement. This study determined the effects of music learning on students' academic performance and psychological well-being. The mediating role of self-efficacy and self-esteem are also examined in this study. The data is collected from 326 students in Chinese universities and applied structural equation modeling for empirical analysis. The findings show that music education improves the students' psychological well-being, which in turn improves their academic performance. Additionally, psychological health is a major factor in improving the academic performance. There is significant mediating impact of self-efficacy and self-esteem in relationship between mental well-being and music education. To improve students' psychological health, it is suggested that policy makers should consider the integration of music education into academic settings.