Water is an essential element for people, as well as for sustaining life on the planet. In this way, due to the contamination that water can suffer from a chemical or biological type, it is necessary to have knowledge about its availability based on its quality characteristics. Consequently, statistical models are the relevant means to carry out an evaluation and future estimates about the quality of surface waters. Therefore, the present work is aimed at formulating a statistical model that allows determining the degree of contamination of the waters of the El Macho estuary, located in the city of Machala, province of El Oro. The applied methodology was of a basic type, since a search of theoretical foundations was carried out that allows to deepen in the statistical modeling for studies of water quality. The research design is correlational under a multivariate statistical model of multiple linear regression. The unified multiple linear regression model concluded that the biochemical oxygen demand significantly determines the water quality of the estuary, according to the chemical parameter, chemical oxygen demand and the physical parameter total dissolved solids. The coefficient of determination indicates that these variables explain 99.9% of the variation of the dependent variable.
The research aim is to find out the specificity of the endo-adaptive component (Taraxacum Officinale L.) as a determinant of the adaptation syndrome of plant organisms against the background of ecosystem stability. The theoretical-methodological basis of the work was the synergistic use of scientific principles and a systematic approach, which determined a transparent approach to the choice of research methods: general scientific, general biological, mathematical statistics. It has been proven that in modern conditions, plants adapt to changes in the environment due to various adaptation mechanisms (xeromorphic features, etc.) which were formed in the process of phylogenetic development and which determine the existence of drought-resistant plants. It is shown that the reactions responses of plants help to identify the main components of xeromorphism, to investigate the corresponding changes in the formation of the general adaptation syndrome of the plant organism.
The purpose of this article is to determine the ecological consequences of the explosion of the Kakhovka hydroelectric plant (southern Ukraine) on the biological diversity of the region. The main research methods were: theoretical generalization and system-functional approach, analysis, synthesis, expedition method. The ecological consequences of the destruction of a hydroelectric dam are divided into two types: drainage and flooding. As a result of the flooding, 48 objects of the nature reserve fund, with a total area of 120 thousand hectares, were affected. Aquatic biotopes and biotopes characteristic of overmoistened areas were the most affected by drainage. 38 rare types of biotopes, which are under the protection of the Bern Convention, were affected by the ecological disaster; wetlands of international importance (so-called Ramsar) with an area of 33,000 hectares in the Dnipro delta and seven objects of the Emerald network. Prospects for further research are related to the study of biotope restoration after an ecological disaster.
The purpose of the article is to justify the use of digital technologies to ensure environmental safety in the context of the green economy development, taking into account its tasks and principles. The research methodology is a comprehensive approach that makes it possible to comprehensively approach the methods and techniques of scientific knowledge, to carry out a comprehensive analysis of the subject of research, to reveal the essence of the green economy and the purpose of implementing digital technologies to ensure environmental safety, to follow the system-forming connections between economic, social, and ecological processes in a global dimension, to highlight the directions of using digital technologies to ensure environmental safety, which gives a synergistic effect for the development of the green economy. It has been proven that the use of artificial intelligence technologies, information logistics systems make it possible to solve many problems in agriculture in the process of production, processing, transportation and preservation of agricultural products. Highlighting the negative consequences of digitization in relation to the environmental component, which includes the increase in energy consumption, electronic waste and cyber security, made it possible to outline directions for their leveling.
Venezuelan Guajira is a region with great opportunities for agricultural development; This is why it is proposed in this area to establish the cultivation of ecological or organic aloe vera as a way for the production of raw materials aimed at the cosmetological, pharmacological and nutraceutical industries, which would contrib ute to the development of the region.
The article characterizes and defines the directions of artificial intelligence technology use in modern organizations and discusses those categories that will remain promising in the future. It highlights the main advantages and risks that currently exist with respect to the use of artificial intelligence and its development in Human Resources processes (HR processes). It was concluded that the main areas of use of artificial intelligence technology in modern organizations and categories that will continue to be promising in the future are defined: automation and optimization of processes; generating insights for decision making. It was emphasized that, in order to prevent the emergence of threats to humanity, in the process of developing artificial intelligence, specialists must establish certain restrictions and its developers must prioritize the issue of protection of user data and ensure control of its use.
The objective of this article was to establish mechanisms to raise awareness among the population living in risk areas about possible landslides, based on cartographic analysis shown later with virtual reality techniques, specifying that various geomorphological events in Mexico City (CDMX) and in certain parts of the Mexican Republic are becoming more frequent and harmful to the inhabitants. Methodologically, the visualization of a virtual reality model worked in Tinkercad from mapping obtained from Geographic Information Systems (GIS) was implemented, showing the possible affectations to the examined domicile. As a result, it is intended to implement new technologies such as virtual reality based on previous mapping results, which can be used to provide greater explanation to the inhabitants about the repercussions and effects in the event of a landslide, which will affect their homes and, therefore, the integrity of their families.
The objective of the research were to carry out an analysis of the agricultural situation of the Mexican Republic (1968-2018). For the study, descriptive statistics, economic theory, regression models and the data index of "agriculture and rural development" of the World Bank were used. The agricultural GDP of Mexico represents a little more than 3 %, with 12.81 % of the economically active population dedicated to primary activities and 25 million people living in rural areas in 2018. The surface agricultural area is 1 068 910 km2, with 239 250 km2 of arable land, 659 476 km2 of forest area and cereals are produced in a 94 260 km2. There is an average use of 96 tractors/100 km2, the average fertilizer consumption is 73 kg/ha and 5 % of the agricultural area is irrigated. In the medium term, the harvest index, the cereal yield, the cereal production, the animal production index and the food production index will continue to grow through time. In the medium and long term, the decrease in the number of people dedicated to agricultural activities will continue and, in percentage terms the added value generated by agriculture will continue to decrease. In the short term, negative growth rates for the rural population are expected to continue.
The objective of the study was to analyze the impact of online learning on the satisfaction of agroindustrial engineering students. The study was of an applied type, quantitative approach, quasi-experimental design and explanatory level. The population was 235 students of the seventh cycle of Engineering from a private university in Lima. The sample was 70 Agroindustrial Engineering students, from the Supply Chain Management subject, divided into two groups, the control group and the experimental group. The questionnaire had 30 items to measure student satisfaction and its dimensions: teacher competencies, quality of the virtual course, technological tools; virtual classroom design and virtual course development environment. To measure online learning, six online sessions were implemented through Google Meet. A pre-and post-test was performed on each group. In the pre-test, both groups obtained a medium level of perception, while, in the post-test, the control group reached a medium level, and the experimental group reached a high level. In the pre-test, no significant differences were identified between the groups; however, in the post-test it was confirmed that online learning significantly impacts the satisfaction of the students in the experimental group.
The problems of using databases in the crime scene analysis are due to changes in the structure of crime, adaptation of innovative technologies to the needs of law enforcement, and protection of human rights. The complex of these aspects determines the relevance of the topic. The aim of the study is identifying the peculiarities of using databases in the crime scene analysis and the prospects for improving law enforcement activities with a view to crime trends. The research employed logical, comparative methods, forecasting. It was revealed that the mechanism of database creation and use is aimed at the fulfilment of the tasks of working with traces at the crime scene. Correspondence of databases to the needs of law enforcement activities is assessed through criteria grouped into resource, organizational and regulatory clusters. Prospective databases should take crime trends into account. The latest methods of working with traces are the final stage of the adaptation of research in the field of criminal justice. The academic novelty of the study consists in a critical examination of the use of databases in the crime scene analysis as a complex of the issues of communications and innovations in law enforcement activities. The study opens up prospects for the development of unified algorithms for information exchange for counteraction to transnational crime.
The objective of the study was to evaluate the implementation of gamification strategies to improve autonomous learning in Agroindustrial Engineering students, at a public university in Lima-Peru. The materials and methods indicate that the study was basic, with a quantitative approach, non-experimental design and correlational scope. The population was 179 students of the eighth cycle of Agroindustrial Engineering. A probabilistic sampling was carried out, which yielded 104 students. To measure gamification strategies and their dimensions: dynamics, mechanics and components, a questionnaire with 21 items and five response alternatives was used. To measure autonomous learning and its dimensions: personal, institutional and didactic, a questionnaire with 20 items and five response options was used. The results of the descriptive analysis indicate that 49.0% and 50.0% of the students perceive a medium level in gamification strategies and autonomous learning, respectively. The findings of the inferential study reveal that gamification strategies are associated with the autonomous learning of Agroindustrial Engineering students, with p-value <0.005. Likewise, gamification strategies are associated with the personal, institutional and didactic dimensions of autonomous learning.
The main purpose of the article is to form the strategy for effective management of organizational change for agricultural enterprise. The set purpose is achieved through the use of a specific methodology, which includes the method of functional modeling of the IDEF0 standard. The object of the study is the functioning system of a separate agricultural enterprise. As a result of the study the most optimal strategy was formed. This methodology will not only optimize the work of modern agricultural enterprises, developing their safety and engineering aspects, but also, to some extent, normalize the development of the regional agricultural sector in which the enterprise operates. This strategy has three key directions, the implementation of which will fully ensure the normal functioning and development of the agricultural enterprise. The study has its limitations, since to form this model only the activities of one agricultural enterprise in Poland were taken into account; this model may be somewhat limited in use for other enterprises. In this regard, the prospects for subsequent research should be to expand the boundaries of the use of this model to the specifics of the functioning of the agricultural sectors of other countries.
The relevance of the proposed topic is driven by global climate change and the urgent need to optimize the management of natural resources. Forests play a central role in the global carbon balance and are of great socio-economic importance for local communities. The research aims to analyze forest management strategies and their environmental impacts. The study focuses on forest ecosystems in different regions and climatic zones. The methodology is based on a comprehensive analysis of scientific literature, statistical data, and the examination of practical examples. The article highlights the dynamics of forest ecosystem restoration following different types of forestry interventions in different climatic zones, including the Ukrainian context. The impact of forest management on global carbon balances and the socio-economic sphere is assessed. The research shows that adaptive strategies can contribute to sustainable development and biodiversity conservation. The conclusions provide recommendations for the implementation of these strategies at the national level, especially in Ukraine.
Business intelligence offers companies possibilities to access, analyze and interact with the potential market for their industry. The purpose of the study is to expose to what extent Business Intelligence influences strategic analysis in Brazil nut exporting companies in Peru. The methodology is descriptive, non-experimental and correlational in scope, with a population of 45 members of the collectors' association, addressed by a questionnaire on a Likert scale. After analyzing the results, it was possible to obtain that 64.4% state that the Business intelligence tool is useful in their business, because it improves strategic decision making; and 53.3% share the opinion that it diversifies the exportable supply, expanding its benefits towards the inputs and equipment necessary for the efficiency of Brazil nut production, coupled with the finding of the inferential analysis which demonstrates a significant positive relationship between the elements . Among the conclusions, the usefulness of Business intelligence in increasing the level of exports and in the average cost is exposed, for which it offers multiple benefits as a technological tool in market projections, competition and exportable supply to the chestnut business, being a more accurate, prudent and strategic analysis
This work includes an interpretation of the LFSR(n,k) circuit for extrapolation to the physical model of variables in arrangements of renewable energy systems. The method focuses on the identification of correspondence between the terms of the descriptive equation in VHDL and the energy flow feedback relationship based on the Fibonacci sequence. This concept is applied to a mobile array of optimization kites, with the aim of minimizing hardware components for optimal control and compensation of wave patterns for mitigation of environmental impact. As a result, a theoretical formulation is obtained from the phi-LFSR sequence generator, with support in the mathematical model of the configuration of sustainable renewable energy schemes. In this way, a novel concept is incorporated, based on energy recovery by combining wave projections, from optimizers adapted to the installed technology, managing to improve its performance, and extending its useful life, within the circular model.
The purpose of the research is to identify the plight of the touristic industry in Ukraine during the war, which had a severe impact on the sector. As a result of the research, the problems of the touristic industry in Ukraine during the war have been analyzed and it was shown that a large part of resources were lost, the impossibility of the internal and business tourism, which caused a threatening crisis for the entire industry. The quantitative analytic method, the system analysis and synthesis method were used in the research. The peculiarity of the touristic industry is that the entire Ukrainian economy has been shifted to military lines, the touristic infrastructure has begun to provide services to refugee, territorial defence, and volunteer organizations. The main regions that are attractive for tourists are Lviv, Ivano-Frankivsk, and Transcarpathia regions. It was concluded that domestic and foreign tourism in Ukraine demonstrates a desire to preserve itself as an important economic branch, a tendency to internal transformations in the wartime reality conditions and prospects for rapid recovery in the postwar period.
In Venezuela there are policies for the management of hazardous solid waste, but there are no defined guidelines for the recovery, treatment and disposal of electrical and electronic waste. As a result, these wastes can represent a problem in environmental management. One of the strategies used to promote the management of electronic waste is through the promotion of research lines that contribute to the use of waste and improvements to management systems; therefore, the present research aims to analyze the potential research lines for the management of electronic waste that can be used with national capacities. Based on the elaboration of a SWOT matrix, 11 lines of research are proposed that focus on the development of projects that promote the generation of statistics, implementation of regulations and compliance with international agreements. The SWOT analysis also showed that the strengths are associated with human capital and experience in the treatment of electronic waste and the weaknesses are related to financing constraints and the uncertainty concerning current legal frameworks.
The purpose of the research is the theoretical and practical aspects of the formation of the concept of green ecotourism as a digital developmental creative technology. The research methodology of green ecotourism concept as a sustainable development factor can be analyzed using the following methods: 1) Data science -analysis and processing of travel agency data in digital form; 2) Data Mining, which includes data extraction, intelligent data analysis, in-depth data analysis aimed at expanding and personalizing customer data for further touristic business development; 3) Big data methods; 4) Agile method for improving digital technologies; 6) Scrum methods for analyzing rural green ecotourism phenomenon. Researching result. 1.The historical prerequisites for the green ecotourism formation as a social and cultural phenomenon and dynamic process are analyzed. 2. The essence of the revitalization concept of rural areas with expanding opportunity aim of the culture and tourism industry has been clarified. 3. The directions of the ecotourism development as a sustainable development economic factor have been identified. 4. The ecosystem is revealed as a complete natural system for the ecotourism development.
This research aims to conduct a statistical analysis of wind behavior, both in terms of magnitude and direction, in equatorial high Andean zones within the Province of Chimborazo, spanning altitudes between 2900 meters above sea level (masl) and 4300 masl. The study utilizes meteorological data from the "Chingazo" and "Chimborazo" automatic weather stations for the years 2015, 2016, and 2017. The analysis reveals that the annual average wind speeds at the respective sites are 6.23 meters per second (m/s) and 10.74 m/s. Notably, 74.11% of the recorded wind speeds at the Chingazo station exceeded 3 m/s, with a maximum speed of 20 m/s. Meanwhile, at the Chimborazo site, 88.85% of the observed wind speeds exceeded 3 m/s, with a peak speed of 31 m/s. Furthermore, the predominant wind direction at the Chimborazo site is East_South_East (ESE), accounting for 35.33% of the data, while at the Chingazo site, it is East_North_East (ENE), representing 32.43% of the dataset. These findings exceed the minimum requirements for the technical feasibility of establishing wind farms. In conclusion, the statistical analysis conducted on these equatorial high Andean sites in the Chimborazo Province, spanning altitudes from 2900 masl to 4300 masl, supports the feasibility of implementing wind farms in these regions.
