scholarly journals Possibilities of the Lotka-Volter’s Model using in the Area of Environmentalism

2019 ◽  
Vol 263 ◽  
pp. 01014
Author(s):  
Gabriel Fedorko ◽  
Vieroslav Molnár
Keyword(s):  
System Dynamics ◽  
Continuous Model ◽  
Environmental Problems ◽  
Simulation Tools ◽  
Simulation And Optimization ◽  
Industrial Sectors ◽  
Wide Range ◽  
Water Courses ◽  
Conventional Methods ◽  
The Impact

Environmental problems are becoming more and more important in all industrial sectors. This trend is closely linked to the increase of the number and extent of solved tasks and problems. Often these are complex problems that involve the impact of a wide range of different factors. Traditional conventional methods are not suitable for their solutions. Contrary, the use of simulation and optimization tools is very effective. Their application is based on attested formulas and models, for example, the model of Lotka-Volter. It is a continuous model of system dynamics, which is used successfully in various areas. Within the frame of environmentalism, it could find application in suitable simulation tools in the questions of a solution of the problem of water and water courses protection.

Drought and water management in the German agricultural sector - a participatory system dynamics approach

2020 ◽  
Author(s):  
Rodrigo Valencia ◽  
Sabine Egerer ◽  
María Máñez
Keyword(s):  
Climate Change ◽  
Water Management ◽  
Water Balance ◽  
System Dynamics ◽  
Model Building ◽  
Elevated Temperatures ◽  
Agricultural System ◽  
Group Model ◽  
Wide Range ◽  
The Impact

<p>Higher temperatures and changes in precipitation patterns caused by climate change may potentially affect water availability for agriculture and increase the risk of crop loss in Northeast Lower Saxony (NELS), Germany. The drought of 2018 showed that an intensification of irrigation might be a temporary solution. However, a long-term increase in water extraction, especially during drought periods, is not a sustainable solution. To assess possible water management solutions, we implement a participatory system dynamics approach, namely Group Model Building, to develop a qualitative system dynamics model (QSDM) describing the agricultural system and its relation to water resources in NELS.</p><p>The development of the QSDM seeks to understand the complexity of the interactions between agriculture and hydrological systems, recognize the stakeholders’ needs and identify risks and weaknesses of both systems. By understanding this, we expect to reinforce the adaptation process, reduce conflict and be able to suggest tailored solutions and adaptation measures. The QSDM incorporates a wide range of perceptions, as twenty stakeholders ranging from farmers, government agencies, environmental protection organizations and local water authorities were involved in the QSDM development. Their perceptions were recorded in the QSDM through individual interviews and a group workshop.</p><p>Through the QSDM, we identified and mapped the structure and connections between agriculture and the water balance. It was also possible to identify the strongest feedback loops governing both sectors as well as their influence on the current situation. The loops represent behaviors and structures, which might become unmanageable under climate change conditions. The causal loops include the different uses for the available water of the region, the impact of irrigation, the significance of crop selection and the importance of sustainable soil management.</p><p>By analyzing the system this way, we confirmed that climate change poses a risk to the region as elevated temperatures could increase the crop water demand and increase the need for irrigation. In the same way, changes in the rain patterns could affect the water balance of the region. The agricultural system has, however, potential to adapt by implementing new water management strategies such as restructuring water rights, water storage and reuse and conjunctive water use. Other measures include increasing the irrigation efficiency, changing crops and enhancing the soil quality, among others.</p>

System dynamics models for the simulation of sustainable urban development

Kybernetes ◽  
2019 ◽  
Vol 49 (2) ◽  
pp. 460-504 ◽  
Author(s):  
Mirjana Pejic Bach ◽  
Emil Tustanovski ◽  
Andrew W.H. Ip ◽  
Kai-Leung Yung ◽  
Vasja Roblek
Keyword(s):  
System Dynamics ◽  
Urban Development ◽  
Environmental Problems ◽  
Sustainable Urban Development ◽  
System Modelling ◽  
Content Type ◽  
System Dynamics Modelling ◽  
Wide Range ◽  
The Future ◽  
Dynamics Modelling

Purpose System dynamics is a whole-system modelling and learning approach, useful for tackling non-linear problems, such as sustainable urban development. The purpose of this paper is to review system dynamics applications in the simulation of sustainable urban development over a period from 2005 to 2017. Design/methodology/approach The analysis reveals that the number of applications of system dynamics modelling in the area of urban sustainable development increased in the analysed period. Research has changed its focus from the modelling of environmental problems to more complex models, portraying the multidimensional socio-economic processes that have an impact on the sustainability of urban development. Analysed case studies most often use the behaviour reproduction test for model validation, but without a unified approach. In most cases, modelling has been done in China, Germany and the USA, while urban development in the Eastern European countries, Africa and Latin America has not often been investigated. This paper indicates the knowledge gaps and suggests future research directions. Findings Papers that report the use of system dynamics modelling reveal a wide range of applications in urban sustainability. The analysis shows significant emphasis on environmental problems, while the interest for modelling social problems has been increasing during the last several years. Most of the modelled problems examine the sustainability of resources (land, water) and waste management, which are used for insights into the reasons for the system behaviour, forecasting future behaviour and policy testing. Originality/value The presented models were developed in most cases for the purpose of understanding the phenomena examined, as well as the future use of the models in policy planning. This brings us back to the need for greater stakeholder involvement, not only in the initial phase, but also during the whole modelling process, which could increase understanding, use and ownership of the models in the future, and thus increase their practical application.

scholarly journals Investigating the Influence of Process Parameters on the Structural Integrity of an Additively Manufactured Nickel-Based Superalloy

Metals ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 1191
Author(s):  
Hani Hilal ◽  
Robert Lancaster ◽  
Dave Stapleton ◽  
Gavin Baxter
Keyword(s):  
Structural Integrity ◽  
Influence Of Process Parameters ◽  
Nickel Based Superalloy ◽  
Industrial Sectors ◽  
Heat Treated ◽  
Wide Range ◽  
Heat Treated Condition ◽  
Near Net Shape ◽  
Semi Empirical ◽  
The Impact

Additive manufacturing (AM) is a novel near net shape manufacturing technology that joins metallic powders layer upon layer in conjunction with 3D model data and as such offers tremendous potential to a wide range of industrial sectors given its ability to produce highly intricate components with very little material wastage. Subsequently, the aerospace industry has become particularly interested in utilising AM as a means of manufacturing nickel-based superalloys for high-temperature applications, such as non-rotating components within gas turbine engines, which are traditionally fabricated through traditional cast and wrought methodologies. As a result of this, a detailed understanding of the influence of key process variables on the structural integrity of the different experimental builds is required. A semi-empirical quantitative approach for melt track analysis has been conducted and the impact on melt track sizing and defect forming mechanisms in the as-built and heat-treated condition is investigated.

scholarly journals Gross Domestic Regional Product, Population and Environmental Quality: Analysis of 33 Provinces in Indonesia

2021 ◽  
Vol 1 (1) ◽  
pp. 51-65
Author(s):  
Ina Indriana ◽  
Nor Asmat Ismail ◽  
Siti Rahyla Rahmat
Keyword(s):  
Population Growth ◽  
Environmental Quality ◽  
Quality Index ◽  
Agricultural Land ◽  
Environmental Problems ◽  
Quality Analysis ◽  
Public Attention ◽  
Industrial Sectors ◽  
Regional Product ◽  
The Impact

Abstract: In recent years environmental problems have become the focus of public attention in the world. The growth of the industry triggered by population growth is the main cause of the emergence of environmental problems. This research was conducted to determine the impact of Gross Domestic Regional Product growth, population growth on environmental quality. This study involved 33 provinces in Indonesia as a unit of analysis. Secondary data was collected from the Indonesian Central Bureau of Statistics. Data analysis was performed using panel least square with software Warp-PLS version 6.0. Previous research deployed CO2 Emission and pollution as an indicator of environmental performance, this research used a score of environmental quality index which covers water quality index, index of air quality and index of forest cover. Findings showed Gross Domestic Product and population have a negative effect on environmental quality. This research indicates government need to that encourages the household and industrial sectors to use environmentally friendly energy, limits and controls the conversion of forests and agricultural land into land for settlement, agriculture, and industry, and encourages the household and industrial sectors to provide waterways and ensure that liquid waste discharged into rivers, lakes or waterways does not harm the environment. Keywords :  Gross Domestic Regional Product, Population, Environmental Quality  

Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects

2020 ◽  
Vol 26 (7) ◽  
pp. 1893-1924 ◽  
Author(s):  
Serge-Lopez Wamba-Taguimdje ◽  
Samuel Fosso Wamba ◽  
Jean Robert Kala Kamdjoug ◽  
Chris Emmanuel Tchatchouang Wanko
Keyword(s):  
Artificial Intelligence ◽  
Firm Performance ◽  
Case Studies ◽  
Research Question ◽  
Business Value ◽  
Organizational Level ◽  
Content Type ◽  
Industrial Sectors ◽  
Wide Range ◽  
The Impact

PurposeThe main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation projects. This study was conducted using a four-step sequential approach: (1) analysis of AI and AI concepts/technologies; (2) in-depth exploration of case studies from a great number of industrial sectors; (3) data collection from the databases (websites) of AI-based solution providers; and (4) a review of AI literature to identify their impact on the performance of organizations while highlighting the business value of AI-enabled projects transformation within organizations.Design/methodology/approachThis study has called on the theory of IT capabilities to seize the influence of AI business value on firm performance (at the organizational and process levels). The research process (responding to the research question, making discussions, interpretations and comparisons, and formulating recommendations) was based on a review of 500 case studies from IBM, AWS, Cloudera, Nvidia, Conversica, Universal Robots websites, etc. Studying the influence of AI on the performance of organizations, and more specifically, of the business value of such organizations’ AI-enabled transformation projects, required us to make an archival data analysis following the three steps, namely the conceptual phase, the refinement and development phase, and the assessment phase.FindingsAI covers a wide range of technologies, including machine translation, chatbots and self-learning algorithms, all of which can allow individuals to better understand their environment and act accordingly. Organizations have been adopting AI technological innovations with a view to adapting to or disrupting their ecosystem while developing and optimizing their strategic and competitive advantages. AI fully expresses its potential through its ability to optimize existing processes and improve automation, information and transformation effects, but also to detect, predict and interact with humans. Thus, the results of our study have highlighted such AI benefits in organizations, and more specifically, its ability to improve on performance at both the organizational (financial, marketing and administrative) and process levels. By building on these AI attributes, organizations can, therefore, enhance the business value of their transformed projects. The same results also showed that organizations achieve performance through AI capabilities only when they use their features/technologies to reconfigure their processes.Research limitations/implicationsAI obviously influences the way businesses are done today. Therefore, practitioners and researchers need to consider AI as a valuable support or even a pilot for a new business model. For the purpose of our study, we adopted a research framework geared toward a more inclusive and comprehensive approach so as to better account for the intangible benefits of AI within organizations. In terms of interest, this study nurtures a scientific interest, which aims at proposing a model for analyzing the influence of AI on the performance of organizations, and at the same time, filling the associated gap in the literature. As for the managerial interest, our study aims to provide managers with elements to be reconfigured or added in order to take advantage of the full benefits of AI, and therefore improve organizations’ performance, the profitability of their investments in AI transformation projects, and some competitive advantage. This study also allows managers to consider AI not as a single technology but as a set/combination of several different configurations of IT in the various company’s business areas because multiple key elements must be brought together to ensure the success of AI: data, talent mix, domain knowledge, key decisions, external partnerships and scalable infrastructure.Originality/valueThis article analyses case studies on the reuse of secondary data from AI deployment reports in organizations. The transformation of projects based on the use of AI focuses mainly on business process innovations and indirectly on those occurring at the organizational level. Thus, 500 case studies are being examined to provide significant and tangible evidence about the business value of AI-based projects and the impact of AI on firm performance. More specifically, this article, through these case studies, exposes the influence of AI at both the organizational and process performance levels, while considering it not as a single technology but as a set/combination of the several different configurations of IT in various industries.

THE IMPACT OF LEADERSHIP PRACTICES TO TEAM MEMBERS’ SATISFACTION

2009 ◽  
Vol 8 (1) ◽  
Author(s):  
Chalimah .
Keyword(s):  
Conflict Resolution ◽  
Leadership Practices ◽  
Hotel Industry ◽  
Leader Behavior ◽  
Team Leader ◽  
Shop Floor ◽  
Team Members ◽  
Top Executives ◽  
Wide Range ◽  
The Impact

eamwork is becoming increasingly important to wide range of operations. It applies to all levels of the company. It is just as important for top executives as it is to middle management, supervisors and shop floor workers. Poor teamwork at any level or between levels can seriously damage organizational effectiveness. The focus of this paper was therefore to examine whether leadership practices consist of team leader behavior, conflict resolution style and openness in communication significantly influenced the team member’s satisfaction in hotel industry. Result indicates that team leader behavior and the conflict resolution style significantly influenced team member satisfaction. It was surprising that openness in communication did not affect significantly to the team members’ satisfaction.

Stress, anxiety, depression and burnout in frontline health care workers during COVID-19 pandemic: a brief systematic review and new data from Russia

2021 ◽  
Author(s):  
Ekaterina Mosolova ◽  
Dmitry Sosin ◽  
Sergey Mosolov
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Female Gender ◽  
Assessment Tools ◽  
Care Workers ◽  
Younger Age ◽  
Wide Range ◽  
Associated Risk Factors ◽  
Anxiety Depression ◽  
The Impact

During the COVID-19 pandemic, healthcare workers (HCWs) have been subject to increased workload while also exposed to many psychosocial stressors. In a systematic review we analyze the impact that the pandemic has had on HCWs mental state and associated risk factors. Most studies reported high levels of depression and anxiety among HCWs worldwide, however, due to a wide range of assessment tools, cut-off scores, and number of frontline participants in the studies, results were difficult to compare. Our study is based on two online surveys of 2195 HCWs from different regions of Russia during spring and autumn epidemic outbreaks revealed the rates of anxiety, stress, depression, emotional exhaustion and depersonalization and perceived stress as 32.3%, 31.1%, 45.5%, 74.2%, 37.7% ,67.8%, respectively. Moreover, 2.4% of HCWs reported suicidal thoughts. The most common risk factors include: female gender, nurse as an occupation, younger age, working for over 6 months, chronic diseases, smoking, high working demands, lack of personal protective equipment, low salary, lack of social support, isolation from families, the fear of relatives getting infected. These results demonstrate the need for urgent supportive programs for HCWs fighting COVID-19 that fall into higher risk factors groups.

A MODELING SYSTEM FOR CLIMATE CHANGE RISK ASSESSMENT, MANAGEMENT AND HEDGING IN COASTAL AREAS

2017 ◽  
Author(s):  
Sergei Soldatenko ◽  
Sergei Soldatenko ◽  
Genrikh Alekseev ◽  
Genrikh Alekseev ◽  
Alexander Danilov ◽  
...  
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Coastal Areas ◽  
Mitigation Strategies ◽  
System Structure ◽  
The Arctic ◽  
Risk Modeling ◽  
Wide Range ◽  
Adverse Weather ◽  
The Impact

Every aspect of human operations faces a wide range of risks, some of which can cause serious consequences. By the start of 21st century, mankind has recognized a new class of risks posed by climate change. It is obvious, that the global climate is changing, and will continue to change, in ways that affect the planning and day to day operations of businesses, government agencies and other organizations and institutions. The manifestations of climate change include but not limited to rising sea levels, increasing temperature, flooding, melting polar sea ice, adverse weather events (e.g. heatwaves, drought, and storms) and a rise in related problems (e.g. health and environmental). Assessing and managing climate risks represent one of the most challenging issues of today and for the future. The purpose of the risk modeling system discussed in this paper is to provide a framework and methodology to quantify risks caused by climate change, to facilitate estimates of the impact of climate change on various spheres of human activities and to compare eventual adaptation and risk mitigation strategies. The system integrates both physical climate system and economic models together with knowledge-based subsystem, which can help support proactive risk management. System structure and its main components are considered. Special attention is paid to climate risk assessment, management and hedging in the Arctic coastal areas.

The Management of Post-Tonsillectomy Morbidity in Patients With Sleep Apnoea

2019 ◽  
Vol 70 (10) ◽  
pp. 3738-3740
Keyword(s):  
Day Surgery ◽  
Sleep Apnoea ◽  
Integrative Approach ◽  
Multicenter Studies ◽  
Therapeutic Modalities ◽  
Advantages And Disadvantages ◽  
Obstructive Sleep ◽  
Wide Range ◽  
The Impact ◽  
Surgery Center

The Tonsillectomy in children or adults is an intervention commonly encountered in the ENT (Ear Nose and Throat) and Head and Neck surgeon practice. The current tendency is to perform this type of surgery in major ambulatory surgery centers. Two objectives are thus pursued: first of all, the increase of the patient quality of life through the reintegration into the family as quickly as possible and secondly, the expenses associated with continuous hospitalization are reduced. Any tertiary (multidisciplinary) sleep center must ensure the complete diagnosis and treatment (including surgery) of sleep respiratory disorders. Under these conditions the selection of patients and especially the implementation of the specific protocols in order to control the postoperative complications it becomes essential. The present paper describes our experience of tonsillectomy as treatment for selected patients with chronic rhonchopathy (snoring) and mild to moderate obstructive sleep apnoea. It was presented the impact of antibiotics protocols in reducing the main morbid outcomes following tonsillectomy, in our day surgery center. The obtained results can also be a prerequisite for the integrative approach of the patients with sleep apnoea who were recommended surgical treatment. Considering the wide range of therapeutic modalities used in sleep apnoea, each with its specific advantages and disadvantages, more extensive and multicenter studies are needed. Keywords: post-tonsillectomy morbidity, day surgery center, sleep disorders

Topics of Environmental Education Program in Coastal Areas

1992 ◽  
Vol 25 (9) ◽  
pp. 253-259 ◽  
Author(s):  
A. M. O. Rennhack ◽  
D. M. W. Zee ◽  
E. S. Cunha ◽  
M. F. Portilho
Keyword(s):  
Environmental Education ◽  
Rio De Janeiro ◽  
Local Community ◽  
Environmental Problems ◽  
Coastal Areas ◽  
State University ◽  
Urban Centers ◽  
Educational Support ◽  
Wide Range ◽  
Supply Information

Researches and Studies made by the Department of Oceanography of the Institute of Geoscience of the State University of Rio de Janeiro UERJ, evidenced the need for educational support where environment-related questions were concerned. A wide range of environment problems tend to concentrate in coastal areas, owing to disordinate urban growth combined with the lack of substructure to cope with it A large number of these problems can be minimized through the participation of the local community. Thus the goals of environmental education are to supply information, to promote a change in the population's attitude toward environmental problems, besides stimulating its participation by fostering its sense of responsibility. Preliminary results have demonstrated that the community has shown great interest in the work that has been proposed, and it has contributed with participation, promising response. Environmental education is fundamental when we consider possible solutions for environmental problems in coastal urban centers. Only by educating the main cause of environmental problems, man himself, will it be possible to consider the question starting from its very origin. This abstract presents two pioneer experiments in the Municipio of Rio de Janeiro, which are “Muito Prazer Marapendi” (“Glad to know you, Marapendi”) and “Troca de Areias da Praia de Copacabana” (“Exchange of Sands in Copacabana Beach”).

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