Transformation Process Research Articles

Unveiling the impact of nitrogen deficiency on alkaloid synthesis in konjac corms (Amorphophallus muelleri Blume)

BackgroundKonjac corms are known for their alkaloid content, which possesses pharmacological properties. In the primary cultivation areas of konjac, nitrogen deficiency is a common problem that significantly influences alkaloid synthesis. The impact of nitrogen deficiency on the alkaloids in konjac corms remains unclear, further complicated by the transition from mother to daughter corms during their growth cycle.ResultsThis study examined 21 alkaloids, including eight indole alkaloids, five isoquinoline alkaloids, and eight other types of alkaloids, along with the associated gene expressions throughout the development of Amorphophallus muelleri Blume under varying nitrogen levels. Nitrogen deficiency significantly reduced corm diameter and fresh weight and delayed the transformation process. Under low nitrogen conditions, the content of indole alkaloids and the expression of genes involved in their biosynthesis, such as tryptophan synthase (TRP) and tryptophan decarboxylase (TDC), exhibited a substantial increase in daughter corms, with fold changes of 61.99 and 19.31, respectively. Conversely, in the mother corm, TDC expression was markedly reduced, showing only 0.04 times the expression level observed under 10 N treatment. The patterns of isoquinoline alkaloid accumulation in corms subjected to nitrogen deficiency were notably distinct from those observed for indole alkaloids. The accumulation of isoquinoline alkaloids was significantly higher in mother corms, with expression levels of aspartate aminotransferase (GOT), chorismate mutase (CM), tyrosine aminotransferase (TAT), and pyruvate decarboxylase (PD) being 4.30, 2.89, 921.18, and 191.40 times greater, respectively. Conversely, in daughter corms, the expression levels of GOT and CM in the 0 N treatment were markedly lower (0.01 and 0.83, respectively) compared to the 10 N treatment.ConclusionsThe study suggests that under nitrogen deficiency, daughter corms preferentially convert chorismate into tryptophan to synthesize indole alkaloids, while mother corms convert it into tyrosine, boosting the production of isoquinoline alkaloids. This research provides valuable insights into the mechanisms of alkaloid biosynthesis in A. muelleri and can aid in developing nitrogen fertilization strategies and in the extraction and utilization of alkaloids.

Austenite-martensite interfacial patterns and energy dissipation of phase transformation in Ni-Mn-Ga single crystal

The martensitic phase transformation occurs in Shape Memory Alloys (SMA) via the nucleation/propagation of the Austenite-Martensite interface (A-M interface), which is a transition region (domain) between the two coexisting phases. For providing compatibility, the transition region consists of various martensitic twin structures (laminates), forming different interfacial patterns, such as parallel laminates and branching laminates. Due to the energy accumulation in the interfacial structures (e.g., elastic mismatch and twin-boundary surface energy), the interfacial patterns should be relevant to the driving force (energy dissipation) and the associated kinetics of the phase transformation. In this paper, we adopt a special thermal loading, small-temperature-gradient “heating-cooling-reheating”, to control the A-M interface's forward and reverse propagation to generate different interfacial patterns in a Ni-Mn-Ga single crystal SMA with the observation on the twin structures (by optical microscope and SEM) and the InfraRed measurement on the temperature hysteresis of the interface propagation (for characterizing the thermal driving force). Simple energetic analysis indicates that the thermal driving force (energy dissipation) is directly related to the stored energy in the interfacial structure, particularly the large mismatch elastic energy near the habit plane. This study not only provides the details of the various interfacial patterns and their dependence on the loading path, but also indicates the driving force and the associated mechanism about the pattern evolution to understand the phase transformation process.

Gandasari Gandawangi Dance: The Transformation of Legendary Form Into Tourism Arts in Jalawastu Brebes

This article traces the transformation process of the legend of the characters Gandasari and Gandawangi into Gandasari Gandawangi Dance, created as a tourism performing art in Jalawastu Traditional Village, Brebes, Central Java. The legend narrates the story of a civil war among prominent figures embracing Islam in that region. From this narrative, a dance and music performance with an innovative tourism package highlighting Jalawastu Traditional Village's local wisdom was realized. The research methodology employed in this study is qualitative with an ethnographic approach. Data collection techniques encompassed interviews, documentary studies, and field observations. Observations were conducted to gather data, which was subsequently analyzed to formulate the transformation process and understand the significance of the Gandasari Gandawangi Dance. This article concludes that Gandasari Gandawangi Dance is adapted from the legend and further developed with creative dance movements, thereby serving as a tourism performing art that is expected to enhance the tourism potential of Jalawastu Traditional Village.

Reflections on three decades of digital transformation in local governments

ABSTRACT This article draws from scholarly debates over three decades to argue for a shift in the study of digital transformation in local governments founded in the understanding that technology is an unavoidable tool for local government reform and that academic research in this field needs to be driven by real-world situations that local governments face when they undertake digital transformation processes and assess their results. The article advocates for four specific changes: 1) the acknowledgement that the relationship between the organisation and the use of technology is bi-directional, 2) the adoption of a multi and interdisciplinary perspective in the scholarship of digital transformation in local governments, 3) the study of public value creation as the result of digital transformation processes and local government reforms, and 4) the need to significantly advance the field by building on existing research and findings when a new technology comes into play.

A holistic field experimental inquiry into cadmium's migration and translocation dynamics across the entire growth spectrum of five Japonica rice cultivars

The contamination of farmland soils with cadmium (Cd) poses a substantial threat to agricultural productivity, food security and safety, and ultimately human health. However, little research has been done on the Cd transport mechanisms in highly Cd polluted soil via field experiment. This study, from a field-scale perspective, examines the migration and transformation features of Cd throughout the growth cycle of five (C1, C2, C3, C4, H1) Japonica rice cultivars in Jiangsu Province, China. Analysis of pH, SOM, total Cd, DTPA-Cd, and microbial communities were conducted. C1 ~ C3 were classified as High Cd-accumulating rice (HC), while C4 and H1 were considered as low Cd-accumulating rice (LC) based on the Cd levels in their brown rice.Phloem was confirmed as the main pathway for Cd into rice grains in high-Cd soil. For the HC group, the Cd concentration in brown and polished rice was positively correlated with the Cd concentration in the leaves and spikes; while for the LC group, they were significantly positively correlated with the Cd concentration in both stem and spike (p < 0.05). The husks of the LC group were more effective in intercepting and sequestering Cd. It was revealed that 6 % ~ 9.09 % of the Cd content detected in the rice grains could be attributed to the internal translocation processes occurring within the plant itself, and approximately 90.91 % ~ 93.84 % of the Cd was traced back to the roots' absorption during grouting. Rice polishing decreased the Cd content from the level in the brown rice by 18 % ~ 47 %. Distinct microbial profiles separated rice rhizosphere from bulk soil, with the former favouring copiotrophs in nutrient-rich zones and the latter oligotrophs in lean conditions. This study delivers crucial data support from a field perspective for a deeper understanding and control of Cd migration and transformation processes in highly Cd-contaminated soil.

Contemporary education: globalization and transformation process under the influence of artificial intelligence

Contemporary education: globalization and transformation process under the influence of artificial intelligence

Exploring the microbe-mediated biological processes of BTEX and toxic metal(loid)s in aging petrochemical landfills

Aging petrochemical landfills serve as reservoirs of inorganic and organic contaminants, posing potential risks of contamination to the surrounding environment. Identifying the pollution characteristics and elucidating the translocation/ transformation processes of typical contaminants in aging petrochemical landfills are crucial yet challenging endeavors. In this study, we employed a combination of chemical analysis and microbial metagenomic technologies to investigate the pollution characteristics of benzene, toluene, ethylbenzene, and xylene (BTEX) as well as metal(loid)s in a representative aging landfill, surrounding soils, and underlying groundwater. Furthermore, we aimed to explore their transformations driven by microbial activity. Our findings revealed widespread distribution of metal(loid)s, including Cd, Ni, Cu, As, Mn, Pb, and Zn, in these environmental media, surpassing soil background values and posing potential ecological risks. Additionally, microbial processes were observed to contribute significantly to the degradation of BTEX compounds and the transformation of metal(loid)s in landfills and surrounding soils, with identified microbial communities and functions playing key roles. Notably, co-occurrence network analysis unveiled the coexistence of functional genes associated with BTEX degradation and metal(loid) transformation, driven primarily by As, Ni, and Cd. These results shed light on the co-selection of resistance traits against BTEX and metal(loid) contaminants in soil microbial consortia under co-contamination scenarios, supporting microbial adaptive evolution in aging petrochemical landfills. The insights gained from this study enhance our understanding of characteristic pollutants and microbial transformation processes in aging landfills, thereby facilitating improved landfill management and contamination remediation strategies.

Model the evolutionary pattern of N species and pool size in groundwater continuum by utilizing measured source and sink rates of nitrate and ammonium

Nitrate and ammonium are primary nitrogen (N) contaminants in groundwater and effective restoration strategies depend on understanding the interactions of N transformation processes along redox gradients. Utilizing the 15N tracing technique, we assess nitrate removal rates, focusing on denitrification and anammox in a N-rich groundwater of the Hetao Basin, a typical semiarid region in western China. Results showed that N removal rate (0.36–22.01µM d−1) was composed mainly of denitrification (73 ± 18%), with rates increasing from upstream oxidizing environment to downstream reducing areas. In reducing downstream, both denitrification and anammox adhered to substrate-driven Michaelis-Menten kinetics. Integrating data on all source and sink rates of nitrate and ammonium pools (denitrification, anammox, dissimilatory nitrate reduction ammonia, nitrification, mineralization), we constructed a N-transfer-dynamics model based on chemical stoichiometry. This model effectively captured the observed spatial N transfer patterns and highlighted that the balance of oxidants and biodegradable organic N inputs influences N species retention and removal in groundwater. Our combined experimental and modeling approach underscores the importance of reducing organic N and/or adding oxidants to mitigate groundwater N pollution. These findings provide crucial insights for optimizing high N groundwater remediation strategies and potentially inform for wastewater management practices.

A theoretical framework for value co-creation analysis in carbon sink projects

With the maturation of the carbon market, carbon sink projects have become a thriving business model, and the value co-creation of carbon sink has become a hot topic in interdisciplinary research. However, the theoretical foundation for value co-creation of carbon sink is limited, and existing theoretical frameworks do not fully cover resource allocation, power dynamics, and interaction mechanisms among different actors in project operations. Therefore, this study, based on the theory of value co-creation and supplemented by residual rights theory and circuit of capital theory, has established a comprehensive theoretical framework to consistently understand the driving factors, co-creation process, and outcomes of resource transformation in projects. Using the Forest Ecological Bank in Fujian Province, China as a case study, we applied our theoretical framework for analysis. The results show that our theoretical framework can depict the complete process of value co-creation of carbon sink, reveal the roles played by diverse actors, and capture the project's dynamic changes. The research findings can provide guidance for the sustainable development of carbon sink projects in areas such as strengthening cooperation and partnerships, creating incentive mechanisms, and enhancing the role of third-party institutions.

Factors Affecting Lecturers’ Digital Competence: A Study at some Universities in the North of Vietnam

In recent years, the decrease in swamp land has been observed in both urban and rural areas. This phenomenon is land hoarding to the deliberate Digital transformation has been deeply penetrating all areas of life, contributing to increasing global labor productivity. The process of digital transformation of education and training in the context of the strong industrial revolution is inevitable. This study aims to show the factors affecting the digital competencies of economics lecturers at universities. The author used SPSS 25.0 software to process and analyze data through a survey of 311 lecturers in economics majors, testing the reliability of the scale using Cronbach's alpha coefficient and exploratory factor analysis. of 5 independent variables with 20 observed variables, and the author also uses regression analysis to test the compatibility between independent factors affecting the dependent factor as well as determine the level of impact of factors and model fit. Research results have shown that it is necessary to build a team of lecturers with digital capabilities that meet standards, which is a key condition to achieve the goal of improving the quality of training and education of Vietnam’s universities.

Fuzzy serial-parallel stochastic configuration networks based on nonconvex dynamic membership function optimization

A fuzzy series–parallel stochastic configuration networks (F-SPSCN) is proposed based on the application of nonconvex optimization in fuzzy systems. Firstly, the kernel density estimation method is used to fit the distribution of original input data to generate dynamic nonconvex membership functions, which enhances the fuzzy system ability to handle uncertain industrial data. Then the parameters of the nonconvex membership functions are optimized based on Majorization-Minimization algorithm and Generalized Projective Gradient Descent algorithm. The optimized membership matrices and fuzzy outputs are used as inputs of the serial-parallel stochastic configuration networks to improve the overall prediction accuracy of the model. Finally, the prediction accuracy of the F-SPSCN model has been verified by performing prediction experiments with two different functions and four benchmark datasets. The F-SPSCN model demonstrates superior performance compared to other models in predicting the magnetic separation recovery ratio (MSRR) of hydrogen-based mineral phase transformation (HMPT) process for refractory iron ore.

Bacterial and fungal keystone taxa play different roles in maintaining community resistance and driving soil organic carbon dynamics in response to Solidago Canadensis invasion

The invasion of alien plants has significant implications for vegetation structure and diversity, which could lead to changes in the carbon (C) input from vegetation and change the transformation and decomposition processes of C, thereby altering the dynamics of soil organic carbon (SOC) within ecosystems. Whether alien plant invasion increases the SOC stock and changes SOC fractions consistently within regional scales, and the underlying mechanisms driving these SOC dynamics remain poorly understood. This study investigated SOC dynamics by comparing the plots that suffered invasion and non-invasion of Solidago Canadensis across five ecological function areas in Anhui Province, China, considering climate, edaphic factors, vegetation, and soil microbes. The results demonstrated that the impact of S. Canadensis invasion on SOC storage was not consistent at each site in the 0–20 cm soil layer, as indicated by the range of SOC content (5.94–12.45 g kg−1) observed at non-invaded plots. Stable SOC exhibited similar response patterns with SOC to plant invasion, whereas labile SOC did not. In addition, bacterial and fungal communities were shifted in structure at each site by plant invasion. Bacterial communities exhibited greater resistance to S. Canadensis invasion than did fungal communities, as evidenced by three aspects of the resistance indices—community resistance, phylogenetic conservation, and network complexity. The mechanisms driving SOC dynamics under S. Canadensis invasion were explored using structural equation models. This revealed that fungal keystone taxa responsible for community resistance controlled stable SOC fractions. In contrast, bacterial keystone taxa had the opposite effect on labile and stable SOC. Climatic and edaphic factors were also involved in the labile and stable SOC dynamics. Overall, this study provides novel insights into the dynamics of SOC under S. Canadensis invasion on a regional scale.

Digital Transformation in Georgian Banking: Trends and Current Level of Adoption

The significance of digital technologies is crucial in contemporary times. This is especially pertinent for the banking industry, enabling it to deliver high-quality customer service and address market challenges promptly. This article examines the current state of the Georgian banking system, focusing on digital services and products, and the advances banks have made in integrating innovative digital technologies. Using specific criteria, the study evaluates the level of digitization within the banking sector, identifying strengths and areas for improvement. The research also explores the digital transformation experiences of developed countries' banking sectors and considers how these could be implemented in Georgia, taking into account the unique context and challenges faced by the country. The study aims to assess the digital readiness and challenges faced by Georgia's banking sector, leading to the formulation of recommendations to speed up the digital transformation process and enhance competitiveness. Both quantitative and qualitative research methods are used in the research. The digital banking products and services offered by commercial banks are analyzed, with statistical conclusions derived from quantitative data, providing a comprehensive overview of the sector's digital maturity. In the end, the study evaluates the challenges and future prospects for the digital transformation of Georgia's banking system, offering strategic insights and practical solutions for policymakers and industry stakeholders. Keywords: Georgian banking, innovation, digital transformation, mobile banking, online banking, digital payments

Exploring the influence of polymers on soil ecosystems: prospective from agricultural contexts

The utilization of advanced polymeric materials has indeed emerged as a significant trend in sustainable agriculture, offering a range of innovative applications aimed at enhancing productivity, minimizing environmental impact, and promoting resource efficiency. Smart polymeric materials enable the controlled release of pesticides, herbicides, and fertilizers, thereby enhancing their efficacy while reducing the quantities needed. Superabsorbent polymeric materials act as soil conditioners, assisting in alleviating the negative impacts of drought by retaining moisture and enhancing soil structure. This fosters improved plant growth and resilience in water-scarce environments. Polycationic polymers play a role in plant bioengineering, facilitating genetic transformation processes aimed at enhancing crop productivity and disease resistance. Advanced polymeric systems contribute to the arsenal of precision agriculture tools by enabling precise delivery and targeted application of agricultural inputs. This approach enhances resource efficiency, reduces waste, and minimizes environmental impact while optimizing crop yields. In reviewing recent developments in the design and application of advanced polymeric systems for precision agriculture, several key considerations emerge.

Nitrogen Transport Pathways and Source Contributions in a Typical Agricultural Watershed Using Stable Isotopes and Hydrochemistry

The increasing global nitrogen input poses a significant threat to aquatic environments, particularly in agricultural watersheds, where intensive human activities and insufficient water protection infrastructure exacerbate the risk of nitrogen pollution. Accurate identification of nitrogen pollution sources and the associated transformation processes is essential for protecting watershed ecosystems. In this study, a combination of hydrochemical analysis, correlation and principal component analysis, and stable nitrate isotopes (δ15N-NO3− and δ18O-NO3−) were employed to trace nitrogen transport pathways and source contributions in both surface water and groundwater within a typical agricultural watershed. The results revealed the presence of nitrogen pollution, including total nitrogen (TN), ammonia nitrogen (NH3-N), and nitrate nitrogen (NO3−-N), with significant spatial and seasonal variations in both surface water and groundwater. The spatiotemporal evolution of hydrochemical indicators and nitrate isotope compositions highlighted multiple potential sources of nitrogen, including soil input, agricultural input, and manure and sewage input. The results from stable isotope analysis in an R (SIAR) model indicated that ammonium fertilizers (7.1%~78.4%) and manure and sewage (2.6%~69.7%) were the primary sources of nitrates in surface water, while manure and sewage were the main sources in groundwater (67.9%~73.7%). This research demonstrated that nitrification, seasonal variations, and human activities significantly impact nitrogen migration and transformation in agricultural watersheds. However, the issue of groundwater severely polluted by manure and sewage has received insufficient attention. To effectively control nitrogen pollution in agricultural watersheds, it is necessary to improve septic tanks and sewage networks, as well as implement scientific fertilization practices.

Digital Transformation and Enterprise Violation Risk: A ‘Motivation-Opportunity-Attitude’ Framework

In the evolving digital economy, digital transformation has emerged as an important strategic choice for enterprises. Their comprehensive and innovative characteristics have instigated a paradigm shift in enterprise governance ideologies and models. However, this transformation has also introduced heightened demands and challenges to enterprise governance mechanisms during the transitional phase. This study examined the influence of digital transformation on enterprise violation risk using data from Chinese A-share listed companies from 2017 to 2021. The analysis revealed an inverted U-shaped relationship between the degree of digital transformation and enterprise violation risk. This relationship was underpinned by three fundamental dimensions: motivation, opportunity, and management attitude. These dimensions were elucidated through mechanisms involving risk perception, management agency costs, and management responsibilities. These conclusions were reached even after rigorous tests for endogeneity and stability. Furthermore, this study probed specific scenarios in which digital transformation influences enterprise violation risk. This finding revealed that internal control mechanisms and external analysts’ attention moderate this relationship. As the effectiveness of internal controls and the attention of external analysts increase, the inflection point of the inverted U-shaped curve shifts to the left, and the curve progressively smoothens. Thus, greater internal control effectiveness and the governance impact of external analysts can positively affect the correlation between digital transformation and enterprise violation risk, thereby facilitating digital resources to empower enterprise governance. This study contributes to the theoretical discourse on the implications of digital transformation for enterprise governance, particularly in the context of evolving market dynamics. It offers valuable insights and recommendations for effectively driving digital transformation processes.

POLICY DRIVERS OF CHINA'S INTEGRATED ENERGY SERVICES: A CURRENT STATUS REVIEW

Conventional energy production and consumption patterns seriously restrict global sustainable development. In the energy transformation process, integrated energy services play a key role in integrating clean energy and renewing energy consumption patterns. The European Union, the United States, and Japan are leading in developing policy frameworks and integrating integrated energy services. This paper compares and analyzes how the European Union, the United States, Japan, and China respond to the challenges of energy transformation through different energy policy systems. The energy policy systems of the European Union, the United States, and Japan are discussed for reference by China. The review reveals that (1) assigning tasks based on the energy transformation strength of each region is conducive to accelerating the speed of carbon emission reduction in each region; (2) continuous government support and targeted incentives are conducive to attracting market capital, thereby stimulating the advancement of energy technology; and (3) formulating energy efficiency standards for basic equipment can lay a good foundation for energy transformation.

Asset–Based Community Development and Appreciative Inquiry (ABCD/AI) Approach to Community Transformation: The Case of the Drewsland Community

This article is based on a 2014 study of Drewsland, an inner–city community in Kingston, Jamaica. It includes an investigation of how the Asset–Based Community Development and Appreciative Inquiry approaches may be applied to identify the assets of the Drewsland community, empower the residents, and guide the community transformation process through collaboration and partnership between these assets. The study concluded that since educational transformation is a subset of community transformation, community transformation in Drewsland is possible through collaboration among a community and leadership network including the school, community–based organizations, government entities, the church, and the business community.

Effect of mineral additives and ammonia-oxidizing bacteria additions on physicochemical properties, nitrogen retention and microbial dynamics during vermicomposting of chicken manure and green waste

Vermicomposting is an effective technology to transform organic wastes into organic fertilizers. However, a large amount of nitrogen will be lost through ammonia (NH3) volatilization during verimicomposting. Herein, in this study, we investigated the effects of mineral additives (diatomite, zeolite) and exogenous ammonia-oxidizing bacteria (AOB) (Nitrosomonas europaea, Nitrosospira multiformis) added individually or combinedly on the physicochemical changes, the conversion of nitrogen, and the resident microbial community succession during chicken manure and green waste co-vermicomposting. The results showed that the combined addition of AOB and mineral additives significantly improved vermicompost quality and maturity in terms of humus, carbon/nitrogen ratio (C/N), humic acid/fulvic acid ratio (HA/FA) and germination index. Compared with the control, jointly adding AOB and mineral additives reduced NH3 emissions by 65.72%~71.05%, accelerated the conversion of NH4+-N to NO3−-N, increased total nitrogen (TN) contents by 23.22%~25.21%. The combination of AOB and mineral additives significantly increased the activities of ammonia monooxygenase, hydroxylamine oxidase, and nitrate oxidoreductase, and enhanced the amount of AOB community. Additionally, the combined addition of AOB and mineral additives increased bacterial richness and diversity, accompanied by increased relative abundances of Luteimonas, Cellvibrio, Saccharimonadales, and Pseudomonas. These microbial shifts were correlated with enhanced lignocellulose degradation, organic phosphate mineralization, and promotion of plant growth. Moreover, vermiompost-based growing media with mineral additives and AOB can significantly promote the growth of purple cabbage as compared to the vermicompost without additives. Overall, the synergistic use of AOB and mineral additives (diatomite, zeolite) was recommended as a favorable approach for reducing nitrogen losses and improving the efficiency of chicken manure and green waste vermicomposting. This study offers a novel approach to mediated nitrogen transformation processes and reduce nitrogen loss.

Sustainable transformation of energy sector: Cluster analysis for the sustainable development strategies of selected European countries

Implementing measures by the European countries within the framework of the ratification of the Paris Climate Agreement should ensure an enlarged share in energy production from alternative energy sources and the introduction of new alternative energy capacities, which would provide an annual decrease in carbon dioxide emissions growth rate, reduce anthropogenic pressure on the natural environment and the use of non-renewable natural resources while preserving biodiversity. This paper aims at forming a system of indicators of sustainable transformation of the energy sector and studying their influence on the policy of environmental-oriented development. The paper applies Ward's method for determining the optimal cluster number and discriminant analysis for checking which variables significantly influence the formation of countries' clusters. The six clusters of countries obtained describe the different features of decarbonisation and climate change mitigation policies. Using discriminant analysis helped to single out the most relevant indicators of the energy sector's transformation in the direction of its decarbonisation and climate change mitigation. The most significant indicators (energy efficiency, electricity production capacities for renewables and wastes, and share of energy from renewable sources) largely determine the pace and features of forming sustainable development strategies for the energy sector. By highlighting the relevant cluster groups in the study, their characteristic features, and ways of transformational processes in the energy sector were discovered. This enabled the authors to form specific directions for strengthening and activating the processes of decarbonisation of the energy sector and climate change mitigation. There outcomes can become the basis for further research and the formation of appropriate strategies for sustainable development and transformation of the energy sector. The results stemming from this study could help scholars and other affiliated persons determine future strategies for research for implementing Sustainable Development Goals 2030.