Regional Growth Research Articles

Safety and effectiveness of an antiseptic wound cleansing and irrigation solution containing polyhexamethylene biguanide.

There is currently a wide range of cleansing and irrigation solutions available for wounds, many of which contain antimicrobial agents. The aim of this study was to assess the safety of HydroClean Solution (HARTMANN, Germany), a polyhexamethylene biguanide (PHMB)-containing irrigation solution, in a standard cytotoxicity assay, and to assess its effect in a three-dimensional (3D) full-thickness model of human skin. A number of commercially available wound cleansing and irrigation solutions, including the PHMB-containing irrigation solution, were tested in a cytotoxicity assay using L929 mouse fibroblasts (ISO 10993-5:2009). The PHMB-containing irrigation solution was then assessed in an in vitro human keratinocyte-fibroblast 3D full-thickness wounded skin model to determine its effect on wound healing over six days. The effect of the PHMB-containing irrigation solution on tissue viability was measured using a lactate dehydrogenase (LDH) assay, and proinflammatory effects were measured using an interleukin-6 (IL-6) production assay. The PHMB-containing irrigation solution was shown to be equivalent to other commercially available cleansing and irrigation solutions when tested in the L929 fibroblast cytotoxicity assay. When assessed in the in vitro 3D human full-thickness wound healing model, the PHMB-containing irrigation solution treatment resulted in no difference in levels of LDH or IL-6 when compared with levels produced in control Dulbecco's phosphate-buffered saline cultures. There was, however, a pronounced tissue thickening of the skin model in the periwound region. The experimental data presented in this study support the conclusion that the PHMB-containing irrigation solution has a safety profile similar to other commercially available cleansing and irrigation solutions. Evidence also suggests that the PHMB-containing irrigation solution does not affect tissue viability or proinflammatory cytokine production, as evidenced by LDH levels or the production of IL-6 in a 3D human full-thickness wound healing model. The PHMB-containing irrigation solution stimulated new tissue growth in the periwound region of the skin model.

Regional Economic Growth Forecast Based on Artificial Intelligence and Computer Vision Model

Introduction: Regional economic growth can be predicted to make more effective countermeasures and promote the development of local regions. However, the existing regional economic growth forecasting models have the problems that the forecasting speed is too slow and the forecasting results are inaccurate, which greatly hinders people's understanding of economic growth. Methods: Based on artificial intelligence and computer vision model, this paper designed a regional economic growth forecast model and predicted the economic growth of different regions. Through testing different areas, it was found that: The prediction risk index of the economic growth prediction model based on artificial intelligence and computer vision model was lower. Results: Among them, the accuracy rate was increased by 6.9%, and the prediction speed was improved, as well as the user satisfaction rate was increased by 9.16%. Conclusion: Therefore, artificial intelligence and computer vision technology could optimize the regional economic growth forecast model.

Effects of carbon emission trading system on corporate green total factor productivity: Does environmental regulation play a role of green blessing?

Extant studies focus on the impact of environmental regulation on regional economic growth or environmental pollution, and a lot of research outcomes have been made. However, from the perspective of corporate green sustainable development, the question of whether carbon emission trading represents a “green blessing” remains unclear. To address this issue, we employ a staggered difference-in-differences model to investigate the effects and mechanisms of the carbon emissions trading pilot policy (CETPP) on the green total factor productivity (GTFP) of listed manufacturing companies in China. Our results demonstrate that: a) CETPP can effectively promote corporate GTFP, and the robustness of this result is verified through a series of checks; b) the mediating role of environmental, social, and governance (ESG) performance is critical in the relationship between CETPP and corporate GTFP, with environmental and governance performance serving as two key transmission channels; and c) CEO green experience and public environmental concern both play the moderating roles on the relationship between CETPP and GTFP; d) CETPP has a stronger positive impact on GTFP of private enterprises and enterprises in the maturity life cycle; and e) CETPP has a spatial spillover effect on GTFP, and the effect will decay as spatial distance increases. Our study offers both theoretical and practical implications for enterprises to achieve their green economic development objectives, so as to promote China's high-quality development.

Evaluating the reliability of bi-temporal canopy height model generated from airborne laser scanning for monitoring forest growth in boreal forest region

ABSTRACT The discrepancies in data across different phases and the unexplored optimal spatial resolution present challenges when using multi-temporal canopy height models to accurately discern actual forest growth. In this study, we evaluated the reliability of bi-temporal CHMs to characterize growth changes in a boreal natural forest over a four-year period. A maximum mosaic method was introduced to construct a CHM from various flight strips, aimed at minimizing data alignment errors. Subsequently, the canopy height and height changed derived from six different height percentile metrics and five spatial resolutions were evaluated. The results showed that higher resolution (e.g., < 2 m) and lower height metrics (e.g., 85th height percentile) consistently underestimated. Tree growth correlation with individual segmentation surpassed field-measurements at all resolutions and height metrics. for the optimal resolution and height metrics, the results suggest that using a 95th height percentile the 10 m scale effectively represents both canopy height ( R 2012 2  = 0.95, RMS E 2012  = 0.88 m, rRMS E 2012  = 5.83%; R 2016 2  = 0.96, RMS E 2016  = 1.11 m, rRMS E 2016  = 6.91%) and height changes ( R 2  = 0.59, RMSE  = 0.86 m, rRMSE  = 18.38%). This study demonstrates the necessity of carefully evaluating data characteristics and resolutions when employing multi-temporal CHM for forest dynamics monitoring.

Hubungan Antara Kemiskinan dan Pertumbuhan Ekonomi di Provinsi Sulawesi Barat: Pendekatan Vector Autoregresive (VAR)

This research aims to analyze the relationship between poverty and regional economic growth in West Sulawesi province. Using panel data from five city/districts during the 2011-2022 period, the analysis model applied is vector autoregressive which is then equipped with a Granger causality test. The study results reveal that economic growth significantly reduces poverty levels. On the other hand, the poverty rate does not affect economic growth. The results of the Granger causality test reveal the existence of one-way causality from economic growth to poverty. The poverty rate responds to changes in economic growth. On the other hand, economic growth does not respond to changes in poverty rate. This finding has the implication that increasing economic growth is very important when regional governments of west sulawesi province effort to reduce poverty rate.

The Temporal and Spatial Evolution Characteristics of the Ecosystem Service Value and Conversion Rate in China’s Key State-Owned Forest Regions

To achieve a sustainable development path that harmonizes ecological and economic considerations, China has advocated the “two mountains” concept: “lucid waters and lush mountains are invaluable assets”. This idea posits that those who protect the environment can economically benefit by selling pristine landscapes and utilizing rich ecological resources. This paper use “the equivalence factor method” to calculate ecological benefits, introduces a technical measure—the conversion rate of ecosystem service value—and analyzes its temporal and spatial evolution from 2003 to 2020 in the operational areas of 87 state-owned forestry enterprises in Northeast China. The findings show: (1) a significant improvement in ecosystem-service quality, with its value increasing from 404.7 to 850.2 billion CNY between 2003 and 2020. The restoration of the ecological environment in China’s KSFR provides a foundation for economic and social development. (2) A decrease in the economic gains derived by operators from developing protected ecosystems, with the most significant decline observed in economic benefits generated from the supply product, including timber harvesting. However, the industrial structure in KSFR shifted from being dominated by timber production to diversified development, with non-timber forest resources becoming an important part of regional economic growth. (3) Significant potential for realizing the value of ecosystem services, evidenced by an increasing trend in the conversion rates of cultural, regulatory, and supporting services. These findings underscore the effectiveness of China’s natural forest protection and restoration policies in optimizing forest ecology and realizing the “two mountains” concept through appropriate market transactions and ecological compensation mechanisms.

The Role of Women in East Kalimantan's Economic Growth

Gender equality is essential because it indicates justice and equality for men and women with the same rights, obligations, and opportunities, resulting in economic growth in the region and country. This study aims to analyze the effects of women's roles: the gender development index (GDI), the gender empowerment index (GEI), the percentage of women as professionals (PWP), the mean years of schooling for women (MYSW), and the women's life expectancy (WLE), on economic growth in East Kalimantan. This study used secondary data from Statistics of East Kalimantan Province (BPS). This data was analyzed using panel data regression covering from 2017 to 2021 from 10 cities/regencies in East Kalimantan. The findings indicate that GEI significantly influences economic growth in East Kalimantan, whereas GDI, PWP, MYSW, and WLE do not significantly affect economic growth. This lack of impact can be attributed to women's limited involvement and participation in various sectors, including economics, education, and health. Consequently, programs aimed at enhancing GDI, PWP, MYSW, and WLE have not translated into tangible economic growth in East Kalimantan. To address this, local governments and stakeholders in East Kalimantan must increase women's participation in political spheres such as parliament and higher education, ensure access to healthcare, and fortify regulations and institutions promoting women's rights, fostering regional economic growth

Effects of Different N Fertilizer Doses on Phenology, Photosynthetic Fluorescence, and Yield of Quinoa

Quinoa (Chenopodium quinoa Willd.) is gaining recognition as a pseudocereal due to its nutritional attributes and adaptability to challenging conditions and marginal soils. However, understanding the optimal fertilization for quinoa growth remains a challenge. This study investigates the effects of nitrogen fertilization (0, 90, 120, and 150 kg using urea) on quinoa phenology, growth, and photosynthesis in the Loess Plateau region of China, a critical area facing soil erosion and ecological degradation. The results showed that nitrogen fertilization significantly influenced quinoa phenology, prompting early flowering and shorter growth at an optimum rate of 120 kg ha−1. Nitrogen application enhanced growth traits such as plant height, stem diameter, and chlorophyll content, particularly at the heading and flowering stages. Photosynthesis-related parameters, including net photosynthesis rate, transpiration rate, stomatal conductance, and intercellular CO2 concentration, were affected by nitrogen application, with higher values observed at 120 kg ha−1. Non-photochemical quenching was significantly increased by nitrogen application, indicating the efficient dissipation of excess energy. The study demonstrated a positive correlation between grain yield and growth traits, photosynthesis-related traits, and chlorophyll content. In conclusion, quinoa yield could be significantly improved at the Loess Plateau region under rainfed conditions by an optimal nitrogen fertilizer rate of 120 kg ha−1, which reduces the growth duration while increasing photosynthesis traits.

Dynamic Analysis of the Growth of Building Area and the Immigrant Population in Shanghai based on the PVAR Model

Since the reform and opening up more than 30 years ago, Shanghai has witnessed rapid development of economic and continuous acceleration of urbanization and continuous growth of building area. However, the number of migrants has decreased over the same period, which is inconsistent with previous studies that show that population affects land demand and floor space. In this paper, panel data of each district of Shanghai from 2014 to 2018 are selected and the panel vector autoregression model (PVAR model) is constructed to analyze the dynamic relationship between the building area growth of each district of Shanghai, the immigrant population and the economic growth. The results show that : (a)There is no long‐term equilibrium relationship between the growth of Shanghai's floor area and the migration of foreign population. (b) The construction area growth in Shanghai can affect the regional GDP growth to a certain extent. (c) The migration of migrants into Shanghai has a certain effect on the economic growth of Shanghai.

The Spillover effect of government relocations on economic growth in Chinese cities

This paper investigates the spillover effect of government locations on economic growth by exploring more than 180 relocation events of city governments in China. Empirical results demonstrate that government relocations improve regional economic growth measured by night lights. This positive effect decreases with the distance to city governments’ new locations. Government relocations are also found to accelerate urbanization. Potential mechanisms include the changes in land conversion and firm birth patterns in the move-in areas. These results indicate that the relocation of local governments can be an effective place-based policy to improve economic growth and urbanization.

Study of Urban Growth Center Development Factors and Simulation The Mamminasata Urban Area

Urban growth starts from a center and affects the surrounding areas, this is due to the emergence of additional centers that will each function as growth poles, to study the dynamics related to urban growth center information, several data and extraction and analysis methods are needed. This study examines several methods of extracting information on urban growth centers from Landsat 8 OLI/TIRS in 2013 and 2023 by utilizing the spectral resolution of Landsat imagery in the Mamminasata area, and integrating spatial modeling to simulate the growth centers of the Mamminasata area in the next 10 years (2043). The results of this research classification method show an accuracy rate of 71.48%. The results of the determinant factor test show that the most influential factors are the distance from the center of shops, slope, then the distance from the university, and the distance from the main road in 2013-2023 Mamminasata Urban Area. The results of this variable drive test are then used in spatial simulations using the markov chain simulation method in the LCM module and show an increase in the area of the growth center in the Mamminasata region, for the entire scope of the Mamminasata region, the Makassar City area shows the highest intensity of regional growth centers and becomes the center of growth in the Mamminasata urban area. The planning concept applied to the results of this study is based on resources, geographic location, and factors affecting the growth center.

LEVELS OF SOCIO- ECONOMIC DEVELOPMENT IN HINDOLI TEHSIL OF RAJASTHAN

Any state's social growth is characterized by the improvement of resource and human connections. The socioeconomic level of the state is determined by factors like regional development, education, health, access to clean water, transportation and communication, electricity, etc. As a result, social facilities serve as the benchmark for measuring and assessing regional growth. Studying the state of social infrastructure in a developing nation like India becomes vital to assess the rising prosperity and welfare work in that region or region. In terms of social work, Hindoli tehsil ranks behind other tehsils of Rajasthan. The extension of social services has been extremely slow in comparison to the rate of agricultural growth and employment opportunities in this area. Different areas of the tehsil have had varying rates of economic development in accordance with their geographical characteristics. The development of social infrastructures like educational institutions, health services, all weather roads, electrification, drinking water facilities, communication services, etc. is as a result conspicuously uneven. The research report under assessment makes recommendations for the correct, expansion of social facilities in the tehsil.

THE INFLUENCE OF INFORMATION SOURCES, AVAILABILITY OF FACILITIES, THE ROLE OF THE MIDWIFE AND THE ATTITUDE OF THE MOTHER ON MOTIVATION IN MONITORING THE GROWTH OF TODDLERS

Background: Nationally, the coverage of infant, toddler and preschool health services tends to decrease compared to 2021, this is due to the impact of the COVID-19 pandemic. Efforts to fulfill the main essential services for infants and toddlers are exclusive breastfeeding,Vitamin A and monitoring of growth and development. It can be seen that the percentage of toddlers monitored for growth and development in Indonesia in 2021 is 69.6%. Meanwhile, the 2021 Strategic Plan target is 70%. Failure to achieve the target of Visit Coverage Percentage of Toddlers whose growth and development are monitored as a result of theCOVID 19 pandemic. Purpose of writing: is to find out the influence of information sources, availability of facilities, the role of midwives and mothers; attitudes towards motivation in monitoring toddler growth and development in several regions in Indonesia. Research Methods: This study used a descriptive correlational method with a cross sectional design. The population in this study were all mothers who had toddlers. The dataanalysis used was univariate and bivariate analysis using the chi square test. Results: From the three regions, the results of the Chy Square test for the TPMB Gunung Sindur Kab. Bogor Value of Midwives Role Obtained p value 0.043 &amp; 0.005 and Kalanganyer Public Health Center District. Lebak p value 0.034;0.005 Meanwhile, in the Mandala Health Center area, the results of the Pearson Chi-Square test for Information Sources obtained p = 0.032 and the Mother Attitude value obtained p = 0.001 , so that Ho was rejected and Ha was accepted, meaning that there is a significant influence between the roles of midwives, sources of information andMother Attitude in Monitoring the Growth and Development of Toddlers. Conclusions: By conducting this research, it is hoped that all mothers who have toddlers can be motivated to monitor the growth and development of their children, given the importance of monitoring children health in order to prevent stunting rates in toddlers.

Spatial and temporal evolution analysis of ecological security pattern in Hubei Province based on ecosystem service supply and demand analysis

Realizing the superior stability of natural resources for regional economic growth depends on the construction of the Ecological Security Pattern (ESP)11the Ecological Security Pattern (ESP).. The ESP of Hubei Province was determined based on the supply and demand of ecosystem services (ESSD)22the supply and demand of ecosystem services (ESSD).. The main conclusions are as follows: (1) The overall supply of ecosystem services in Hubei Province exceeds the demand, and the imbalance between supply and demand in Wuhan, Xiangyang and Jingzhou is the most serious. (2) The largest ecological source area in 2000 was 90,506 km2, followed by 86,946 km2 in 2020. (3) 11 long-term ecological obstacles with a total area of 312.96 km2 were identified, which were mainly composed of large areas of cultivated land and water. (5) The ecological protection and restoration pattern of “two axes, three belts, four districts and five cores (two main and three secondary)” has been constructed in Hubei Province. The results of this study provide reference for the management and protection of regional ecosystem and the overall response to ecological problems in Hubei Province.

Bureaucratic transfers and industrial structure changes in China: The role of superstar firms

This paper examines how local industrial structure changes after bureaucratic transfers across Chinese cities. Utilizing firm-level data within the manufacturing sector, we show a positive and significant effect of transferred local leaders on the industrial similarity between cities connected by them, and this response arises 3 years after the transfers. However, when transferring between cities with notable disparities in resource endowments, local leaders induce diminished industrial similarity among connected cities. Our mechanism analyses then find that, after transferred leaders arrive, new superstar firms are more likely to be attracted to their current jurisdictions and new industries in which their previous jurisdictions have already superstar firms tend to be developed in the current jurisdictions, thus making the industrial structure between the connected cities more similar. Furthermore, we find that transferred local leaders contribute to the synchronization of regional economic growth through facilitating the diffusion of productive capabilities across cities.

The influence of AI on the economic growth of different regions in China

High-quality development plays a crucial role in China’s economic progress in the new era. It represents a new concept of advancement and mirrors the increasing aspirations of the populace for an improved standard of living. In this context, the role of artificial intelligence (AI) in promoting sustainable development cannot be overemphasized. This paper explores how AI technologies can drive the transition to a green, low-carbon and circular economy. We have established an index system to measure the development level of the artificial intelligence industry and the high-quality development of the economy, which is relevant to the current state of the artificial intelligence industry and the advancement of the economy. Panel data from 2008 to 2017 has been utilized for this purpose. Global principal component analysis method and entropy value method are employed in the evaluation. Through in-depth analysis of the application of artificial intelligence and environmental protection in various provinces and cities, we clarify that artificial intelligence promotes innovation, saves resources, and is conducive to the development of green economy in the new era.

Triple Helix Dynamics and Hybrid Organizations: An Analysis of Value Creation Processes

AbstractThe Triple Helix model, focusing on interactions among academia, industry, and government, has been an influential model for promoting innovation and regional development. However, limited research explores the model’s micro-level dynamics, alling for further investigation into its effectiveness. This study seeks to fill this gap by critically examining the micro-level dynamics of the Triple Helix model, with an emphasis on the roles played by a hybrid organization in the value creation process. Utilizing a case study approach, this research examines Robotdalen—a successful Swedish applied research initiative in robotics—to answer the research questions: How do value-creation activities within a Triple Helix model evolve and how do hybrid organizations facilitate and shape value creation throughout the development stages of an organization? The analysis contributes a fine-grained view of value creation and development over time in a large Triple Helix innovation initiative, highlighting the importance of hybrid organizations in facilitating collaboration and coordinating resources among stakeholders. The results identify critical factors such as collaboration, commercialization, innovation, and adaptation. This research contributes new theoretical insights and practical implications for leveraging hybrid organizations within the Triple Helix framework, thereby providing valuable guidance for policymakers, practitioners, and scholars engaged in crafting strategies to stimulate regional growth, innovation, and value creation in today’s dynamic global landscape.

A Survey and Analysis of Intelligent Forecasting and Decision-Making Evaluation of Urban Growth using Artificial Intelligence

A dense concentration of human-made features such as residences, businesses, highways, bridges, and trains characterize urban areas, which are developed regions that encircle cities and are home to most of the population's non-agricultural labourers. Monitoring and modeling urban development have become critical for long-term urban planning and decision-making. Urban growth prediction models are crucial for understanding the causes and implications of urban land use patterns and predicting upcoming growth of city based on the current scenario, ensuring sustainable city development. The Cellular Automata (CA) approach has been used to simulate the urban growth in a hypothetical region, based on principles governing cell spatial interaction and parameters for exploring alternative urban shapes. However, CA faces numerous uncertainties and more research is requited to enhance its adaptability to urban environments. In recent times, Artificial Intelligence models like Machine Learning (ML) and Deep Learning (DL) are being utilized for urban growth prediction, enhancing decision-making and overcoming uncertainty. In order to help with future urban development planning, these models are essential for accurate management and control of urban expansion. This article presents a comprehensive review of ML and DL models for urban prediction. The first step is a quick review of the many urban prediction models developed by various academics using ML and DL models. The next step is to provide a new way for reliably projecting where cities will expand in the future by comparing current frameworks and determining their shortcomings.

Effects of geographical origin and post-harvesting processing on the bioactive compounds and sensory quality of Brazilian specialty coffee beans

Specialty coffee beans are those produced, processed, and characterized following the highest quality standards, toward delivering a superior final product. Environmental, climatic, genetic, and processing factors greatly influence the green beans’ chemical profile, which reflects on the quality and pricing. The present study focuses on the assessment of eight major health-beneficial bioactive compounds in green coffee beans aiming to underscore the influence of the geographical origin and post-harvesting processing on the quality of the final beverage. For that, we examined the non-volatile chemical profile of specialty Coffea arabica beans from Minas Gerais state, Brazil. It included samples from Cerrado (Savannah), and Matas de Minas and Sul de Minas (Atlantic Forest) regions, produced by two post-harvesting processing practices. Trigonelline, theobromine, theophylline, chlorogenic acid derivatives, caffeine, caffeic acid, ferulic acid, and p-coumaric acid were quantified in the green beans by high-performance liquid chromatography with diode array detection. Additionally, all samples were roasted and subjected to sensory analysis for coffee grading. Principal component analysis suggested that Cerrado samples tended to set apart from the other geographical locations. Those samples also exhibited higher levels of trigonelline as confirmed by two-way ANOVA analysis. Samples subjected to de-pulping processing showed improved chemical composition and sensory score. Those pulped coffees displayed 5.8% more chlorogenic acid derivatives, with an enhancement of 1.5% in the sensory score compared to unprocessed counterparts. Multivariate logistic regression analysis pointed out altitude, ferulic acid, p-coumaric acid, sweetness, and acidity as predictors distinguishing specialty coffee beans obtained by the two post-harvest processing. These findings demonstrate the influence of regional growth conditions and post-harvest treatments on the chemical and sensory quality of coffee. In summary, the present study underscores the value of integrating target metabolite analysis with statistical tools to augment the characterization of specialty coffee beans, offering novel insights for quality assessment with a focus on their bioactive compounds.

Characteristics of shock wave in 355 nm laser-induced damage growth in fused silica

During the 355 nm laser-induced damage growth in fused silica, the distance of shock wave propagation decreases as the irradiation number increases. The dynamic image of the damage reveals that the growth of the damage cavity region is one of the primary reasons for the variation in shock wave propagation distance and structure. The growth coefficient and the depth-to-diameter ratio of the cavity are closely related to the decrease in shock wave propagation distance. Based on the Taylor–Sedov theory, this work presents a modified scaling that couples the growth coefficient with the depth-to-diameter ratio. The calculated results are in agreement with the experiment. It is a valuable complement to the study of shockwave propagation characteristics of damage growth.