Title: |
Effectiveness of Rhizobacteria on the Growth, Yield and Diseases of VH1 Purple Rice Cultivated under Plastic-House Conditions |
Authors: |
Nguyen Thi Huong Cam, Do Thi Kieu An, Tien Huynh, Nguyen Van Nam |
Source: |
International Journal of Latest Engineering Research and Applications, pp 01 - 08, Vol 10 - No. 10, 2025 |
Abstract: |
Seven rhizobacterial strains isolated from the rhizosphere soil of purple rice cultivated in Dak Lak Province, Vietnam, were evaluated for their effects on the growth and yield of the VH1 purple rice variety under plastic-house conditions. The experiment was conducted using a completely randomized design (CRD) with three replications and nine treatment formulas. The results showed that all seven strains increased the photosynthetic pigment contents in rice leaves at the flowering stage. These rhizobacteria also strongly stimulated the growth of VH1 purple rice, resulting in increases of 11.53-19.71% in the number of tillers per plant, 13.96-37.43% in flag leaf area, and 6.03-34.61% in root length compared with the two control treatments. Moreover, the inoculated strains enhanced disease tolerance, leading to actual yields ranging from 69.31 to 88.36 quintals per hectare, which were 1.41-2.14 times higher than the controls. Overall, Stenotrophomonas maltophilia RDL1B41, Pseudomonas aeruginosa RDLN43, and Enterobacter mori RDLN105 were identified as the most promising rhizobacterial strains, with potential application in biofertilizer development for sustainable rice cultivation. |
Keywords: |
Diseases, growth, plastic-house conditions, purple rice, rhizobacteria, yield. |
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DOI: |
10.56581/IJLERA.10.10.01-08 |
Title: |
Analysis of Mathematical Correlation Model between Engineering Parameters and Costs |
Authors: |
Yingqian Tian |
Source: |
International Journal of Latest Engineering Research and Applications, pp 09 - 13, Vol 10 - No. 10, 2025 |
Abstract: |
This article studies the mathematical correlation model between engineering parameters and costs, and explores its core role in engineering project management. By analyzing the functional relationship between engineering parameters such as material usage, construction period, equipment specifications, and direct costs, indirect costs, and risk costs, a scientific basis is provided for project budget preparation, cost control, and decision optimization. Research has shown that the popularity of BIM technology and popularization of the Internet provide new possibilities for improving model accuracy. |
Keywords: |
Engineering parameter, costs, BIM technology, Function relationship |
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DOI: |
10.56581/IJLERA.10.10.09-13 |
Title: |
Smoothness and accruals: quality of accounting information analysis in the french and brazilian markets
Smoothness e accruals: análise da qualidade das informações contábeis nos mercados francês e brasileiro |
Authors: |
Geraldo Magella Obolari de Magalhães, Wilson Machado Enes |
Source: |
International Journal of Latest Engineering Research and Applications, pp 14 - 23, Vol 10 - No. 10, 2025 |
Abstract: |
The Quality of Accounting Information (QAI) influences corporate results by providing clear and safe information to investors who, when making decisions in the capital markets, are provided with greater reliability and transparency about the financial realities of companies. In this sense, the objective of this article is to analyze comparatively, the QAI and the management of results of publicly traded companies in developed and emerging economies, represented, respectively, by French and Brazilian companies, in order to highlight possible differences between the two realities. The research has a quantitative approach, using descriptive and exploratory statistics, with regression with unbalanced panel data and correlation analysis. The results suggest that French companies present higher QAI than Brazilian ones, so that the latter are more prone to earnings management than the former, although no statistically significant difference was found between the two markets. The research contributes with the reflection on the managerial characteristics of companies belonging to such diverse economies. |
Keywords: |
Quality of accounting information; Earnings management; Smoothness; Accruals; Capital markets. |
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DOI: |
10.56581/IJLERA.10.10.14-23 |
Title: |
Governing Workforce Sustainability in the Construction Industry: Integrating Employment Systems, Organizational Climate, and Green HRM |
Authors: |
Cheng-Chun Huang, Chun-Shuo Hsiao |
Source: |
International Journal of Latest Engineering Research and Applications, pp 24 - 35, Vol 10 - No. 10, 2025 |
Abstract: |
This study develops and empirically validates a governance-oriented framework for workforce sustainability in the construction industry. Moving beyond conventional retention models, it introduces the Workforce Sustainability Index for Construction (WSI-C)—a multidimensional indicator encompassing attendance stability, occupational health and safety (OHS) performance, perceived career growth, and persistence of green practices. Using survey data from 352 construction professionals in Taiwan, a partial least-squares structural equation model (PLS-SEM) links Employment Systems Quality (ESQ), Organizational Climate (OC), and Green Human Resource Management (GHRM) to WSI-C through organizational identification, job satisfaction, and career growth. The study further proposes the Alignment Index (AI) as a governance-based moderator that quantifies the congruence between formal HR policies and employee perceptions. Results confirm significant direct and indirect effects of ESQ, OC, and GHRM on WSI-C, along with a positive moderation by AI that strengthens the OC → WSI-C and GHRM WSI-C pathways. Incremental-validity testing shows that WSI-C explains an additional 12% of organizational variance (ΔR² = 0.12) beyond traditional retention intention. Theoretically, the study reframes workforce sustainability as a measurable governance capability by formalizing alignment as a quantifiable boundary condition. Practically, it recommends three governance-ready mechanisms—dual-loop alignment monitoring, an early-warning WSI-C dashboard, and stress-zoned training modules—to institutionalize sustainability-oriented HR governance within the construction sector. |
Keywords: |
workforce sustainability, construction industry, employment systems quality, organizational climate, green human resource management, alignment index, governance, PLS-SE |
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DOI: |
10.56581/IJLERA.10.10.24-35 |
