In this study, daily averages of air quality parameters were measured in two stations (S1 and S2) of the organized industrial district in Samsun. The meteorological variables were measured at only one station (S1), such as temperature, relative humidity, wind speed, solar radiation, and ambient pressure in 2007, and the daily promised limit for nitrogen dioxide has been especially exceeded at 206 times for 1^st station. However, exceeds of the limit value in 2006 for 1^st station was reduced by approximately 3.5 times. The daily nitrogen dioxide concentration did not exceed the daily limit of WHO^[1] as for 2^nd station. The results obtained showed that under the influence of dominant wind direction, the second station measurement results are higher than that of the first station. To determine all of the possible environmental effects, the measurements should be analyzed from a multi-point perspective.

This research delves into the urgent requirement for innovative agricultural methodologies amid growing concerns over sustainable development and food security. By employing machine learning strategies, particularly focusing on non-parametric learning algorithms, we explore the assessment of soil suitability for agricultural use under conditions of drought stress. Through the detailed examination of varied datasets, which include parameters like soil toxicity, terrain characteristics, and quality scores, our study offers new insights into the complexities of predicting soil suitability for crops. Our findings underline the effectiveness of various machine learning models, with the decision tree approach standing out for its accuracy, despite the need for comprehensive data gathering. Moreover, the research emphasizes the promise of merging machine learning techniques with conventional practices in soil science, paving the way for novel contributions to agricultural studies and practical implementations.

This study examines innovative teaching approaches’ effect on the quality of education for prospective primary teachers. A mixed-methods approach combining qualitative and quantitative data collection techniques was employed. Initially, the two data sets were analyzed separately—qualitative data through thematic analysis and quantitative data through statistical methods. The themes emerging from the qualitative analysis were then cross-referenced with the quantitative findings to evaluate whether the trends supported each other. For instance, if a qualitative theme indicated that teachers felt more confident using innovative methods, this was supported by quantitative data showing improvements in teacher performance scores or student outcomes. The study had 200 participants, and the study findings revealed a significant positive impact of innovative teaching approaches on the quality of education for future primary teachers. Participants reported increased engagement, improved critical thinking, and enhanced adaptability in classroom settings. The study findings reveal that innovative approaches significantly improve the quality of education for prospective primary teachers by fostering more interactive, technology-enhanced, and student-centered learning environments. To maintain these improvements, it is essential to invest in infrastructure, provide ongoing support for teacher educators, and continuously update curricula to reflect emerging educational technologies and practices. These findings emphasize the importance of innovation in teacher training to meet the evolving demands of primary education.

This study sought an innovative quality management framework for Chinese Prefabricated Buildings (PB) projects. The framework combines TQM, QSP, Reconstruction Engineering, Six Sigma (6Σ), Quality Cost Management, and Quality Diagnosis Theories. A quantitative assessment of a representative sample of Chinese PB projects and advanced statistical analysis using Structural Equation Modeling supported the framework, indicating an excellent model fit (CFI = 0.92, TLI = 0.90, RMSEA = 0.06). The study significantly advances quality management and industrialized building techniques, but it also emphasizes the necessity for ongoing research, innovation, and information exchange to address the changing problems and opportunities in this dynamic area. In addition, this study’s findings and recommendations can help construction stakeholders improve quality performance, reduce construction workload and cost, minimize defects, boost customer satisfaction, boost productivity and efficiency in PB projects, and boost the Chinese construction industry’s growth and competitiveness.

South Africa, like many emerging economies, grapples with the challenges of rapid urbanisation, unequal access to resources, and historical spatial inequalities. Addressing these issues requires a multifaceted approach that reimagines urban real estate development as a catalyst for positive social change. This paper explores the imperative of inclusive urban real estate development in South Africa and presents innovative strategies to promote equity, accessibility, and sustainability in urban environments. Following a quantitative inquiry technique, primary data was gathered from 109 built environment professionals with experience in sustainable urban development. To support this, descriptive and inferential statistics, particularly exploratory factor analysis (EFA), were used. According to the descriptive analysis using the mean score (MS) ranking technique, the development of affordable housing was one of the higher up-front innovative strategies for reshaping real estate development. Ensuring objectivity in city planning, re-engineering the city streets and buildings to create a safer environment were among the highly ranked strategies. The EFA further demonstrated that “urban redevelopment”, “government regulations”, “spatial planning”, “urban policy” and “diversification” were the underlying groups of new approaches for inclusive development. Implementing these innovative strategies, South Africa can move towards a more inclusive and equitable urban landscape, where urban real estate development becomes a force for positive social change, fostering sustainable economic growth and improving the quality of life for all citizens. This research contributes to the ongoing dialogue on urban development in South Africa and offers actionable insights for policymakers, developers, and community stakeholders invested in shaping more inclusive cities.

Kinnow production is hampered due to the lack of micronutrient applications such as zinc (Zn), iron (Fe), and manganese (Mn), which play a significant role in the metabolic activities of the plant, affecting yield and quality. The farmers of the region use mineral micronutrient fertilizers, but it leads to phytotoxicity due to unoptimized fertilizer application dose. In the present investigation, an attempt has been made to optimize the Zn, Mn, and Fe minerals dose as tank mix foliar application for improvement of fruit yield, quality, and uptake of nutrients. The twelve combinations of different doses of zinc sulphate, manganese sulphate, and ferrous sulphate fertilizers replicated three times were tested at kinnow orchards established at Krishi Vigyan Kendra, Bathinda, Punjab, India. The data revealed that the fruit drop was significantly low in the treatment F₁₂ (43.4%) (tank mix spray of 0.3% ZnSO₄ + 0.2% MnSO₄ + 0.1% FeSO₄ ) compared to control treatment. The fruit yield per tree was significantly higher in the treatment F12 compared to untreated control. The juice percentage was also recorded higher in treatment F12 as compared to control, and the juice percentage improved by 2.6%. The leaf nutrient analysis also revealed translocation of higher amount of nutrient from leaf to fruit under optimized supply of micronutrient. Thus, the application of tank mix spray of 0.3% ZnSO₄ + 0.2% MnSO₄ + 0.1% FeSO₄ may be used for better fruit yield and quality.