Structural Trends Research Articles

Spatio-temporal variations of energy carbon emissions in Xinjiang based on DMSP-OLS and NPP-VIIRS nighttime light remote sensing data.

With the rapid economic development of Xinjiang Uygur Autonomous Region (Xinjiang), energy consumption became the primary source of carbon emissions. The growth trend in energy consumption and coal-dominated energy structure are unlikely to change significantly in the short term, meaning that carbon emissions are expected to continue rising. To clarify the changes in energy-related carbon emissions in Xinjiang over the past 15 years, this paper integrates DMSP/OLS and NPP/VIIRS data to generate long-term nighttime light remote sensing data from 2005 to 2020. The data is used to analyze the distribution characteristics of carbon emissions, spatial autocorrelation, frequency of changes, and the standard deviation ellipse. The results show that: (1) From 2005 to 2020, the total carbon emissions in Xinjiang continued to grow, with noticeable urban additions although the growth rate fluctuated. In spatial distribution, non-carbon emission areas were mainly located in the northwest; low-carbon emission areas mostly small and medium-sized towns; and high-carbon emission areas were concentrated around the provincial capital and urban agglomerations. (2) There were significant regional differences in carbon emissions, with clear spatial clustering of energy consumption. The clustering stabilized, showing distinct "high-high" and "low-low" patterns. (3) Carbon emissions in central urban areas remained stable, while higher frequencies of change were seen in the peripheral areas of provincial capitals and key cities. The center of carbon emissions shifted towards southeast but later showed a trend of moving northwest. (4) Temporal and spatial variations in carbon emissions were closely linked to energy consumption intensity, population size, and economic growth. These findings provided a basis for formulating differentiated carbon emission targets and strategies, optimizing energy structures, and promoting industrial transformation to achieve low-carbon economic development in Xinjiang.

The Impact of Urbanization on Rural Population Structure in China

Urbanization has been speeding up in China since reform and opening up policies were promoted, which promotes the progression of rural economy, but furthermore provides a certain degree of negative impact on the rural population structure. On the basis of summarizing the concept of urbanization, this study provides a thorough analysis of China's recent rural population structure and urbanization trend, and finally concludes that the quickening pace of urbanization in China makes the rural population structure face some problems and challenges. This study also offers some thoughts and recommendations in this area. At the same time, when analyzing the trend and population structure, by comparing and summarizing the secondary data and relevant literature, this paper concludes that China's urbanization has caused problems such as talent shortage in rural areas, rural aging and gender structure imbalance of the left-behind population. To solve these problems, China should establish a sound and perfect social security system and encourage the integration of rural and urban development. China ought to also establish a sound pension system and optimize the population structure; in rural areas, the promotion of respect for women has been strengthened and relevant laws have been introduced to gradually eliminate gender discrimination. It is beneficial to promote the national economy, cultural development.

Mapping structural and research trends in schizophrenia and metabolic syndrome: A bibliometric analysis

An escalating body of research is directing its focus toward schizophrenia (SZ) patients who grapple with metabolic syndrome (MS). By employing bibliometric approach, this study comprehensively assessed the research landscape and prevailing trends within SZ and MS-related fields. All relevant publications related to SZ and MS were systematically extracted from the Web of Science Core Collection database up to August 15, 2023. Data analysis was conducted using software such as VOSviewer, Citespace, Pajek, and R software, as well as online bibliometric website. A total of 2651 publications on SZ and MS were collected, with the United States emerging as the primary contributor (n = 1970). Pivotal international research collaborations were observed, notably between the United States and the United Kingdom (n = 56). The French Research Universities exhibited prolific contributions. Schizophrenia Research emerged as the foremost influential journal in this domain. In addition to “schizophrenia” and “metabolic syndrome,” keywords such as “atypical antipsychotics” and “body weight” featured prominently within the literature. Our study underscores the growing significance of SZ with MS research. These findings collectively shed light on the dynamic and evolving nature of research pertaining to SZ and MS, reflecting an unwavering commitment to unravel the complexities and implications inherent in these intertwined domains.

Application of Time-Series Modeling in Forecasting the Doctorate-Level Science and Technology Workforce

The science and technology (S&T) workforce plays a crucial role in social development by promoting technological innovation and economic growth, as well as serving as a key indicator of research and development productivity and measure of innovation capability. Therefore, effective S&T workforce policies must be established to enhance national competitiveness. This study proposes a time-series forecasting methodology to predict the scale and structural trends of South Korea’s doctorate-level S&T workforce. Based on earlier research and case data, we applied both the traditional time-series model exponential smoothing and the latest model Prophet, developed by Meta, in this study. Further, public data from South Korea were used to apply the proposed models. To ensure robust model evaluation, we considered multiple metrics. With respect to both forecasting accuracy and sensitivity to data variability, Prophet was found to be the most suitable for predicting the S&T doctorate workforce’s scale. The scenarios derived from the Prophet model can help the government formulate policies based on scientific evidence in the future.

A Novel Method for Aircraft Structural Dynamic Strain Trend Signal Processing via Optimized Parallel Computing

In this study, we investigate the underlying causes of drift in the time history curves of measured parameters obtained through strain electrical measurements and assess their impacts on load measurements. To address the challenge of efficiently processing large volumes of aircraft load data, we propose and analyze a multi-level parallel algorithm specifically designed for the data processing of aircraft load measurements. To achieve this objective, we discuss parallel processing at both medium- and fine-grained levels and develop two distinct parallel processing algorithms: one for coarse- and medium-grained aircraft-type data streams, and another for medium- and fine-grained takeoff and landing data streams. The efficacy of these algorithms is validated through the processing of load data measured on a specific aircraft wing. The results demonstrate that the proposed approach offers a novel technical pathway for large-scale scientific computations and enhances data processing efficiency in the domain of aircraft load spectrum analysis.

The effects of land cover transition and its patch mosaics on soil erosion using geospatial technology in South Wollo, Ethiopia

Soil erosion has been a significant threat to agricultural productivity, dam sustainability, and ecosystem services in the highlands of Ethiopia. Despite some watershed-specific research on this problem, the spatiotemporal distribution of soil erosion risks is still rarely assessed in South Wollo. This study aims to monitor land cover changes, analyze landscape mosaics, and estimate soil loss in South Wollo from 1990 to 2020. The Revised Universal Soil Loss Equation (RUSLE) was utilized to estimate soil loss. Key informant interviews and field observations were conducted to gain further insights into land cover change and soil erosion. The results showed that agricultural land use was dominant, covering 50.75 % of the study area in 1990 and it continued to expand at an annual rate of 1.73 %, primarily on shrubland and grassland. The landscape structure was more heterogeneous in the north compared to the central and southern areas. In 1990, the mean soil loss was 21.13 t ha-1yr−1, totaling 41.53 million tons. By 2020, These figures had increased to 28.97 t ha-1yr−1 and 49.86 million tons, respectively. Areas experiencing very severe soil erosion (>50 t ha-1yr−1) expanded from 10.81 % (1990) to 13.57 % (2020). The magnitude of soil loss also differed among land cover types, with the highest rates observed in bare land (>85 t ha-1yr−1), followed by agricultural land (>30 t ha-1yr−1). Soil loss factors and landscape metrics exhibited a significant correlation with soil loss, though the strength and direction of these interactions varied. Land cover change and its associated soil erosion were primarily exacerbated by policy factors, including tenure insecurity and disregard for farmers’ indigenous conservation knowledge. This study offers valuable insights into the trends of land cover transitions, landscape structure, and soil loss. It will help guide sustainable land management, aimed at increasing green legacy and reducing soil loss.

Detection of damage caused by Nezara viridula on soybean using novel imaging approaches based on computed tomography and image color analysis.

Soybean (Glycine max L.) is an important leguminous plant, in which pests trigger significant damage every year. Important members of this community are insects with piercing-sucking mouthpart, especially the southern green stinkbug, Nezara viridula L.. This insect with its extraoral digestion causes visible alterations (morphological and color changes) in the seeds. We aimed to obtain precise information about the extent and nature of damage in soybeans caused by N. viridula using nondestructive imaging methods. Two infestation conditions were applied: one with controlled numbers of pests (six insects/15 pods) and another with naturally occurring pests (samples collected from the apical part of the plant and samples from whole plants). An intact control group was also included, resulting in four treatment groups. Seed samples were analyzed by computed tomography (CT) and image color analysis under laboratory conditions. According to our CT findings, the damage caused by N. viridula changed the radiodensity, volume, and shape (Solidity) of the soybean seeds during the pod-filling and maturing period. Radiodensity was significantly reduced in all three damaged categories compared to the intact sample; the mean radiodensity reduction range was 49-412 HU. The seed volume also decreased significantly (25%-80% decrease), with a threefold reduction for samples exposed to regulated damage compared to natural ones. The samples exposed to natural damage showed significant but minor reduction in solidity, while samples exposed to regulated damage showed a prominent decrease (~12%). Image color analysis showed that the damaged samples were well distinguishable, and the differences were statistically verifiable. The achieved data derived from our external and internal imaging approaches contribute to a better understanding of the internal chemical processes, and CT analysis helps to understand the alteration trends of the hidden structure of seeds caused by a pest. Our results can contribute to the development of a practically applicable system based on image analysis, which can identify lots damaged by insects.

Bewährungsprobe Europas: Wettbewerbsfähigkeit in einer Welt im Wandel

Abstract Competitiveness is increasingly becoming a political focus. In times of geopolitical uncertainty, a trend of de-globalization and changing economic structures, the EU must assert itself as a business location in the competition between nations. Location characteristics such as a successful digital and green transformation in the face of increasingly scarce human capital, an incomplete internal market and inadequate defense capabilities are important. A high level of competitiveness is only possible with a European single market that is equipped with sufficient resources and a sound cooperation between the member states in the EU.

Present Situation and Future Prospects of Motor Cooling System

Background: The motor cooling system is mainly used in aerospace, automotive, and marine fields, where the motor system is cooled to extend the service life and safety of the motor. The running power of motors rises too fast, which leads to the failure of heat dissipation as expected and shortens the service life of motors. Therefore, it is necessary to choose an appropriate cooling mode for motors to improve their cooling structure, reduce their temperature rise, and improve their reliability and service life. The internal motor cooling system can perform fixed-point heat dissipation, but the overall heat dissipation is poor. The external motor cooling system can perform overall heat dissipation but has high requirements on the structure. Over the years, the application and development of motor cooling systems have gained more and more attention. Objective: This paper discusses the structural characteristics, advantages, and development trends of the motor cooling system in order to reduce the temperature rise of the motor and improve its reliability and service life. This paper aims to provide an overview and systematic guidance for future designs of the motor cooling system. Methods: According to the structural characteristics of the motor cooling system and the requirements of the motor application field, the most typical internal cooling system and external cooling system in the motor cooling system are summarized. Results: By analyzing the causes and hazards of motor heating, the limited requirements of the motor system in use are summarized. The motor system is classified and compared based on the structure, heat dissipation principle, and use of the motor heat dissipation system. The characteristics of small volume and strong heat dissipation ability are also summarized. Based on the analysis of the internal and external cooling system, the problems of complex structure and poor cooling effect are summarized, and the future development trend and direction of the motor cooling system are discussed in detail. Conclusion: This paper divides the motor cooling system into an internal cooling system and an external cooling system according to the specifications and operating environment. This paper expounds on internal and external cooling systems' different principles, advantages, and disadvantages. This paper summarizes the cooling systems in recent years in order to facilitate their subsequent development and use. The main components of additional patents for future inventions are motor cooling systems, innovation in structure simplification, and cost performance optimization.

Evaluating the Impact of NPA Dynamics in Selected Indian Banks: A Fifteen-Year Comparative Study

Purpose: The purpose of this study is to investigate the impact on bank profitability, capital structure, and financial stability and trend analysis regarding non-performing assets [NPAs] performance in selected Indian public sector banks vis-à-vis that observed in private sector ones during fifteen years. Methodology: For this research, a quantitative methodological approach has been used, and for quantifiable data, annual reports from four select banks, which include two public sector banks [The Bank of Baroda, The State Bank Of India] as well as two private sector banks [ICICI Bank Ltd., Nainital bank], are analyzed for the period ranging 2008-09 to 2022-23. The analysis calculates Compound Annual Growth Rates [CAGR] and t-tests, Panel Regression models to determine the relationship between GNPA additions, reductions, and write-offs with closing balances. Findings: A major increase in GNPAs is observed in the research among Scheduled Commercial Banks. The public sector banks found an even larger dynamism in NPA growth rates than private sector banks, manifesting the fluctuation to a high degree. The study identifies GNPA addition, reduction, and write-off as key determinants of their respective closing balances. Even though there have been many policy initiatives, the public sector banks [PSBs] remain at a higher level of NPAs due to governance deficits and political interference. The effectiveness of these predictors on GNPA is also confirmed using the Random Effect Model, thus requiring improved risk management practices. Originality: The content of this article is guaranteed to be original.

Knowledge structure and theme trends on mHealth apps for COVID-19: bibliometric analysis

Knowledge structure and theme trends on mHealth apps for COVID-19: bibliometric analysis

DEVELOPMENT OF THE GLOBAL AIR TRANSPORTATION MARKET IN CONDITIONS OF TURBULENCE

The purpose of the article is to develop and substantiate the strategic priorities of international cooperation of air transport enterprises of Ukraine in war and post-war times based on the study of turbulence factors affecting the activity of the global air transport market, as well as the analysis of the strategic development of the world's largest airlines in crisis conditions. The methodological basis of the research is scientific theories of economic cycles and crises, theories of market equilibrium, theories of market structures, theories of cooperation and integration. Both general scientific and special methods of scientific knowledge were used – historical-logical, descriptive-analytical, analysis and synthesis, methods of quantitative and qualitative comparisons. The informational basis of the article is monographic studies and periodical publications of Ukrainian and foreign economists, analytical reports of international aviation organizations, international consulting companies and analytical centres. The article examines the essence, structure and modern trends in the development of the global air transport market. Turbulence factors affecting the dynamics of air transport are identified and justified, including geopolitical instability, economic downturns, rising fuel prices, pandemics, technological innovations etc. The impact of crises on international air transportation was assessed, and the peculiarities of the regulation of the world air market were considered. The role of global strategic alliances in the formation of the world market of air transportation is determined, it is established that international cooperation of air transport enterprises allows to increase the market share. The results of the research made it possible to justify the strategic priorities of international cooperation of air transport enterprises of Ukraine in war and post-war times. Research results can be used for scientific justification and further creation of proper conditions for the effective functioning of the global air transport market, as well as in the development of new strategies for air transport enterprises of Ukraine, which will allow them to remain stable and competitive in conditions of uncertainty and growing threats.

Latitudinal trends in an invasive plant: genetic differentiation, phenotypic plasticity, and the effects of heavy metals and herbivores on growth, defence, and reproductive characteristics

Abstract Background and Aims Invasive species usually demonstrate remarkable adaptability across diverse environments, successfully inhabiting a wide variety of regions. This adaptability often links to genetic differentiation and phenotypic plasticity, leading to latitudinal trends in phenotypic traits. In this study, we collected seeds of invasive plant Phytolacca americana from different latitudes and planted them in homogeneous gardens to investigate the latitudinal variation of P. americana phenotypic traits and to evaluate the effects of herbivory and heavy metals on plant growth, defence, and reproductive characteristics. Methods P. americana seeds from different latitudes were planted in a homogeneous garden. For the experimental treatment, the seeds were divided into four groups: a heavy metal treatment group and its corresponding control group, and a cover treatment group with its corresponding control group. After the fruits matured, their growth, reproduction, and defence indicators were measured. Key Results Significant latitudinal trends were observed in P. americana’s growth and defence characteristics, including changes in branch number, underground biomass, total biomass, and leaf tannin content. Compared to previous field surveys on P. americana, our study found that the latitude trends in growth structure and defence traits were consistent. But the latitudinal trend of reproductive structure is different. Moreover, heavy metals and herbivory substantially influenced the plant’s growth, reproduction, and defence mechanisms, further shaping its latitudinal patterns. Conclusions The observed phenotypic variations in P. americana across latitudes can be largely attributed to the synergistic effects of phenotypic plasticity and genetic variation. At a broader geographical scale, adaptations to heavy metal stress and herbivory pressure among different P. americana populations involve distinct trade-offs related to growth, reproduction, and defence strategies.

Past and Present of Social Inequality: Analysing Structure and Future Trends

The purpose of the article is to highlight the peculiarities of fundamental and applied forms of social inequality in the context of cultural and historical experience and prospects of civilisational development. Social differentiation has a diverse character, which forms the diversity of parameters of this socio-cultural phenomenon. The purpose of scientific research is to unify social indicators that activate and determine the level of inequality in society. Social processes are marked by contradictions in the worldview and mental understanding, so the issue of inequality is regulated by clear and understandable theoretical, methodological, legal, and socio-cultural guidelines. The research methodology is focused on the scientific and sociological methodological cluster. A sociological study based on content analysis, monitoring, and expert opinions allows us to determine the structure and manifestations of social inequality. Long-term sociological observations and in-depth analytical descriptions form the constants of the fundamental nature of social inequality. The results of the study emphasise the need to correlate the fundamental understanding of social inequality and the applied manifestation of this phenomenon in the socio-cultural space. In today's dynamic world, traditional and sustainable interpretations of inequality are hardly accepted, since the current principles of social development involve rapid permanent changes that determine the parameters of social inequality almost online. Under such conditions, society needs new flexible parameters that will determine the quantitative and qualitative parameters of social inequality. Thus, social inequality is an integral element of cultural and historical experience, having formed the fundamental dimensions of this phenomenon, while its prospects require regulation by society to avoid and mitigate the negative impact of social inequality in the form of injustice, discrimination, chauvinism, etc. Promising areas of research on the problem of social inequality include focusing on the dynamics of the social structure, which fundamentally changes the fundamental and targeted understanding of social inequality, leading to inadequate assessments of threats associated with the direct manifestation of social inequality in society.

Impact of Multi-Factor Features on Protein Secondary Structure Prediction.

Protein secondary structure prediction (PSSP) plays a crucial role in resolving protein functions and properties. Significant progress has been made in this field in recent years, and the use of a variety of protein-related features, including amino acid sequences, position-specific score matrices (PSSM), amino acid properties, and secondary structure trend factors, to improve prediction accuracy is an important technical route for it. However, a comprehensive evaluation of the impact of these factor features in secondary structure prediction is lacking in the current work. This study quantitatively analyzes the impact of several major factors on secondary structure prediction models using a more explanatory four-class machine learning approach. The applicability of each factor in the different types of methods, the extent to which the different methods work on each factor, and the evaluation of the effect of multi-factor combinations are explored in detail. Through experiments and analyses, it was found that PSSM performs best in methods with strong high-dimensional features and complex feature extraction capabilities, while amino acid sequences, although performing poorly overall, perform relatively well in methods with strong linear processing capabilities. Also, the combination of amino acid properties and trend factors significantly improved the prediction performance. This study provides empirical evidence for future researchers to optimize multi-factor feature combinations and apply them to protein secondary structure prediction models, which is beneficial in further optimizing the use of these factors to enhance the performance of protein secondary structure prediction models.

Research constituent, intellectual structure and current trends in environmental sustainability-an analytical retrospective

Climate change is a paramount problem for humanity, representing a substantial danger to all living organisms. Industrialization, a vital factor for economic progress, has resulted in global warming, posing a threat to the long-term viability of our ecosystem. Currently, a wide range of techniques and technologies are being used to guarantee the preservation of the environment for future generations. This study employed data from the Scopus database to do topic modeling. Authors used latent Dirichlet allocation to extract research themes related to environmental sustainability from a corpus of 4023 research articles published between 1976 and 2022. By utilizing clustering methodologies to analyze the collection of words, Authors successfully forecasted two, five, and ten study subjects, emphasizing specific domains that necessitate additional investigation by scholars. Based on coherence ratings, five subjects have been identified as prospective study areas requiring further scientific exploration. The results of our research emphasize the significance of incorporating environmentally-friendly technologies in different industries to promote a long-lasting and eco-friendly ecosystem. In addition, authors recommend prioritizing implementing sustainable and environmentally friendly technologies, improving the management of ecosystems, encouraging water conservation, promoting agricultural advancements, and advancing renewable energy resources as crucial strategies for protecting the environment and enhancing ecological conditions. This analysis illuminates current research trends in environmental sustainability and potential pathways for future investigation and intervention.

Using heat map data to measure population development trends and urban disparities of large-scale affordable communities in China

Over the past decade, large-scale affordable communities have proliferated in the suburban areas of major Chinese cities. Most of the housing in these communities consists of affordable housing provided by the government and constructed by developers, targeted at middle to low-income individuals through restricted-price sales and rentals. With more than a decade of occupancy, it is crucial to examine the development status of these communities. This study employs regular collection of heat map data to observe the population density trends in communities from 2020 to 2024. By analyzing population density and its derived variables, the study examines changes in daytime and nighttime populations during weekdays, as well as the differences between the Spring Festival period and regular population data. Combining urban context, we use both quantitative and qualitative methods to analyze population quantity and structure trends and further explore the development disparities among cities. The study reveals a widespread increase in population across 35 communities in five cities from 2020 to 2021, peaking in 2021 and 2022, with differentiation among cities after 2023. Before 2022, there was a pattern in the development of community population quantity and structure: communities with faster population growth exhibited a simultaneous increase in commuter proportions. The impetus for community population changes is largely attributed to the varying attractiveness of cities to the floating population, with the five cities demonstrating distinct patterns. The method used in this study to collect population data, as opposed to traditional questionnaire surveys, presents advantages in terms of real-time, efficiency, convenience, and high sensitivity. This approach can offer feasible insights for establishing a real-time monitoring system for the development of large-scale affordable communities in China in the future.

Comparative Analysis Between Japan's Real Estate Economy and China's Real Estate Status

Japan's real estate bubble economy in the 1990s caused a major blow to the Japanese economy, Japan entered the "disappearing 30 years". The causes of Japan's real estate bubble economy and the reasons why the bubble burst are worthy of the world's countries to learn from. 21st century since the rapid development of China's real estate economy, housing prices are growing rapidly. The real estate economy has been overheated in some areas, although the Chinese government has taken relevant measures to cool down, still can't relax the vigilance, people should always pay attention to the overheated areas of real estate prices, land prices. Through the comparison between China and Japan, although the economic structure and development trend are similar when the property overheating phenomenon occurs, the economic development background and international background between the two countries are different, and the governments of the two countries have adopted different strategies to deal with the property overheating phenomenon. So in conclusion, although there are some areas in China where real estate is overheating, China's real estate market will not burst the bubble. In order to prevent China's real estate bubble from bursting and its impact on economic development, China should pay attention to the reasons behind it and make targeted policy adjustments, while also drawing on the lessons learned from other countries to promote the healthy and stable development of the real estate economy.

The Cenozoic Abanico rift system: Implications of increased southward extension in the southern central Andes, in Chile

The late Eocene-Early Miocene intra-arc Abanico extensional basin represents a major feature in central Chile (∼31°-42°S). Such basin system concentrated the magmatic activity along this Andean region and hosted locally more than 3.000 m of volcanic and volcaniclastic deposits (Abanico Formation) over a southward thinning crust (<35 km thick). South of 34°30′S, major changes occur in and out of the basin realm that modify the rather regular distribution of the geological features observed northwards, namely: 1. Southward termination of the exposures of the Farellones Formation, 2. Increased presence of pre-Abanico volcanic and plutonic exposures in the basin realm, 3. Southward width increase of the basin, 4. Abrupt end in the Maule region of the Cretaceous plutonic swaths exposed in the eastern Coastal Cordillera and westward bend of the swaths of Mesozoic units, 5. Increased presence of primitive volcanic rocks in the west-side of the basin, and 6. Presence, south of 36°S, of the Cura-Mallín Formation on the east-side of the basin. These changes are caused by the oblique orientation of the Abanico basin relative to the Mesozoic structural and paleogeographic trends and are enhanced by the increased southward opening of the basin. This opening would have occurred through a westward scissors-like rotation of the block of continental crust located west of the basin, which corresponds to the present-day Coastal Cordillera south of 34°30′S. The eastern border, which is represented by the El Diablo fault, remained essentially fixed. The westward rotation is supported by the north-northeast orientation of the Mesozoic plutonic and stratified swaths south of 34°30′S. Additionally, the swaths of Mesozoic rocks are obliquely interrupted by the similarly oriented western border of the basin. Previous analogue models designed to understand the opening and closure mechanisms of an extensional basin show that greater extension and subsidence in the basin occur next to the mobile border, which in the Abanico basin was located on its west side. This observation aligns with the increased southward presence of primitive volcanic rocks, like the Colbún Formation, in the region where crustal thinning would have been greater. Analogue models show that the increased southward extension allowed the development of wider depocenters. In the Maule region, an eastern depocenter near the El Diablo fault, hosted the Early to Middle Miocene deposits of the Cura-Mallín Formation. During contraction, deeply rooted reverse faults can involve basement rocks of the basin and bring them up to the surface as observed in the Abanico basin realm in the Tinguiririca and Maule regions. This study also highlights the continuity and importance of the El Diablo fault in the configuration of the basin. It is shown that, notwithstanding the existence of major changes south of 34°30′S, this fault represents a major structural element that remained unchanged along the Andean segment comprised between ∼32° and 36°30′S separating the Cenozoic deposits to the west from Mesozoic deposits to the east. This fault can be traced continuously from, at least, the Aconcagua valley (33°S) to the Maule region (36°30′S), and most probably extends further south. Apart from separating the Cenozoic Abanico basin deposits from the Mesozoic units involved in the east-vergent Andean fold-thrust belt, its trace forms an almost straight line that connects the Palomo, Tinguiririca, Planchón-Peteroa, Descabezados, San Pedro and Rezago volcanic centers and complexes, hot-springs, and hydrothermal alterations.

Women Entrepreneurship: A Bibliometric Review from 2012 to 2022

This study aims for bibliometric analysis by analysing trends in various authors, documents, topics, conceptual structures and collaboration networks on women entrepreneurship. This work analysed 329 publications that were recovered from the Web of Science record from the period of 2012–2022 (and early access articles of 2023) and conclusions were drawn using the ‘bibliometric R-package’ and ‘VOSviewer’. Observations have shown that after 2018, scholarly attention quickened. Trending areas related to women’s entrepreneurship during the selected period include gender, growth, women and work. Highly relevant themes that are underdeveloped till now related to women entrepreneurs which can attract researchers in the future include mediating roles, moderating roles, leadership, performance, determination and much more. This bibliometric evaluation provides a thorough, organized, impartial analysis of women entrepreneurs. Results showed that business, management and entrepreneurship disciplines rule writings on women’s entrepreneurship. This study has identified four components based on the selected data, i.e., strengths, weaknesses, opportunities and dangers faced by women entrepreneurs. There is an utmost need for capacity development and training, particularly in the areas of governance, leadership, communications and the use of information, communication and technology in business because the majority of women entrepreneurs are unable to provide appropriate services to their members. The findings may give scholars and professionals information about the current situation and trending topics of female entrepreneurs. We put out a few research questions that may be addressed in the future for each of the primary study directions.