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Tytuł:
AI-supported reasoning in physiotherapy
Wnioskowanie w fizjoterapii wspierane sztuczną inteligencją
Autorzy:
Mikołajewski, Dariusz
Mikołajewska, Emilia
Powiązania:
https://bibliotekanauki.pl/articles/41203435.pdf
Data publikacji:
2024
Wydawca:
Uniwersytet Kazimierza Wielkiego w Bydgoszczy
Tematy:
artificial intelligence
machine learning
clinical reasoning
clinical decision support system
interview
musculoskeletal pain disorders
physiotherapy
usability
recommender system
self-management
mHealth
sztuczna inteligencja
uczenie maszynowe
wnioskowanie kliniczne
system wspomagania decyzji klinicznych
wywiad
zaburzenia bólowe układu mięśniowo-szkieletowego
fizjoterapia
użyteczność
system rekomendacji
samokontrola
mZdrowie
Opis:
Artificial intelligence (AI)-based clinical reasoning support systems in physiotherapy, and in particular data-driven (machine learning) systems, can be useful in making and reviewing decisions regarding functional diagnosis and formulating/maintaining/modifying a rehabilitation programme. The aim of this article is to explore the extent to which the opportunities offered by AI-based systems for clinical reasoning in physiotherapy have been exploited and where the potential for their further stimulated development lies.
Systemy wspomagania wnioskowania klinicznego w fizjoterapii oparte na sztucznej inteligencji, a w szczególności na danych (uczenie maszynowe), mogą być przydatne w podejmowaniu i weryfikacji decyzji dotyczących diagnostyki funkcjonalnej ora formułowania/utrzymywania/modyfikowania programu rehabilitacji. Celem niniejszego artykułu jest zbadanie, w jakim stopniu możliwości oferowane przez systemy oparte na sztucznej inteligencji w zakresie rozumowania klinicznego w fizjoterapii zostały wykorzystane i gdzie leży potencjał ich dalszego stymulowanego rozwoju.
Źródło:
Studia i Materiały Informatyki Stosowanej; 2024, 16, 2; 21-27
1689-6300
Pojawia się w:
Studia i Materiały Informatyki Stosowanej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A comparative study on performance of basic and ensemble classifiers with various datasets
Autorzy:
Gunakala, Archana
Shahid, Afzal Hussain
Powiązania:
https://bibliotekanauki.pl/articles/30148255.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
classification
Naïve Bayes
neural network
Support Vector Machine
Decision Tree
ensemble learning
Random Forest
Opis:
Classification plays a critical role in machine learning (ML) systems for processing images, text and high -dimensional data. Predicting class labels from training data is the primary goal of classification. An optimal model for a particular classification problem is chosen based on the model's performance and execution time. This paper compares and analyzes the performance of basic as well as ensemble classifiers utilizing 10-fold cross validation and also discusses their essential concepts, advantages, and disadvantages. In this study five basic classifiers namely Naïve Bayes (NB), Multi-layer Perceptron (MLP), Support Vector Machine (SVM), Decision Tree (DT), and Random Forest (RF) and the ensemble of all the five classifiers along with few more combinations are compared with five University of California Irvine (UCI) ML Repository datasets and a Diabetes Health Indicators dataset from Kaggle repository. To analyze and compare the performance of classifiers, evaluation metrics like Accuracy, Recall, Precision, Area Under Curve (AUC) and F-Score are used. Experimental results showed that SVM performs best on two out of the six datasets (Diabetes Health Indicators and waveform), RF performs best for Arrhythmia, Sonar, Tic-tac-toe datasets, and the best ensemble combination is found to be DT+SVM+RF on Ionosphere dataset having respective accuracies 72.58%, 90.38%, 81.63%, 73.59%, 94.78% and 94.01%. The proposed ensemble combinations outperformed the conven¬tional models for few datasets.
Źródło:
Applied Computer Science; 2023, 19, 1; 107-132
1895-3735
2353-6977
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Neural Networks as a Tool for Supporting a Moulding Sand Control System Based on the Dependency between Selected Moulding Sand Properties
Autorzy:
Mrzygłód, Barbara
Jakubski, Jarosław
Opaliński, Andrzej
Regulski, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/24201264.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
artificial neural network
decision support
green moulding sand
compactibility
Opis:
The article presents the potential for using artificial neural networks to support decisions related to the rebonding of green moulding sand. The basic properties of the moulding sand tested in foundries are discussed, especially compactibility as it gives the most information about the quality of green moulding sand. First, the data that can predict the compactibility value without the need for testing are defined. Next, a method for constructing an artificial neural network is presented and the network model which produced the best results is analysed. Additionally, two applications were designed to allow the investigation results to be searchable by determining the range of values of the moulding sand parameters.
Źródło:
Journal of Casting & Materials Engineering; 2023, 7, 2; 15--21
2543-9901
Pojawia się w:
Journal of Casting & Materials Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Combining predictive distributions of electricity prices : does minimizing the CRPS lead to optimal decisions in day-ahead bidding?
Autorzy:
Nitka, Weronika
Weron, Rafał
Powiązania:
https://bibliotekanauki.pl/articles/27315321.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
decision support
day-ahead electricity bidding
predictive distribution
combining forecast
CRPS learning
Opis:
Probabilistic price forecasting has recently gained attention in power trading because decisions based on such predictions can yield significantly higher profits than those made with point forecasts alone. At the same time, methods are being developed to combine predictive distributions, since no model is perfect and averaging generally improves forecasting performance. In this article, we address the question of whether using CRPS learning, a novel weighting technique minimizing the continuous ranked probability score (CRPS), leads to optimal decisions in day-ahead bidding. To this end, we conduct an empirical study using hourly day-ahead electricity prices from the German EPEX market. We find that increasing the diversity of an ensemble can have a positive impact on accuracy. At the same time, the higher computational cost of using CRPS learning compared to an equal-weighted aggregation of distributions is not offset by higher profits, despite significantly more accurate predictions.
Źródło:
Operations Research and Decisions; 2023, 33, 3; 105--118
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decision-Making Supporting Models Concerning the Internal Security of the State
Autorzy:
Kovalchuk, Oleg
Kasianchuk, Mykhailo
Karpinski, Mikolaj
Shevchuk, Ruslan
Powiązania:
https://bibliotekanauki.pl/articles/27311918.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
information security of the state
decision-making
information and analytical support
internal security
model
Opis:
In the digital society, states’ information security has become one of the key elements of ensuring the competitiveness and sustainable development of the state, guaranteeing its integrity and security in general. An important component of state security is the internal security of the state, which must ensure the personal and public safety of its citizens. Modern Ukraine is building a new system of criminal justice, which requires a new information system for risk assessment and support for optimal decision-making. Today, applied research and the development of information and analytical software for the internal security of the state have acquired a special meaning. In the paper, there is built a set of models for providing operational information for decision-making in criminal justice. This is a cluster model for creating criminal profiles of convicts, and a scoring model for identifying individual characteristics of criminals that have the greatest impact on their propensity to reoffend. The obtained models can provide reliable support for decision-making in the field of criminal justice and become part of the information support system for the internal security of Ukraine in general.
Źródło:
International Journal of Electronics and Telecommunications; 2023, 69, 2; 301--307
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Designing Smart Antennas Using Machine Learning Algorithms
Autorzy:
Samantaray, Barsa
Das, Kunal Kumar
Roy, Jibendu Sekhar
Powiązania:
https://bibliotekanauki.pl/articles/27312957.pdf
Data publikacji:
2023
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
artificial neural network
decision tree
ensemble algorithm
machine learning
smart antenna
support vector machine
Opis:
Smart antenna technologies improve spectral efficiency, security, energy efficiency, and overall service quality in cellular networks by utilizing signal processing algorithms that provide radiation beams to users while producing nulls for interferers. In this paper, the performance of such ML solutions as the support vector machine (SVM) algorithm, the artificial neural network (ANN), the ensemble algorithm (EA), and the decision tree (DT) algorithm used for forming the beam of smart antennas are compared. A smart antenna array made up of 10 half-wave dipoles is considered. The ANN method is better than the remaining approaches when it comes to achieving beam and null directions, whereas EA offers better performance in terms of reducing the side lobe level (SLL). The maximum SLL is achieved using EA for all the user directions. The performance of the ANN algorithm in terms of forming the beam of a smart antenna is also compared with that of the variable-step size adaptive algorithm.
Źródło:
Journal of Telecommunications and Information Technology; 2023, 4; 46--52
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Developing a Decision Support System for Supply Chain Component
Autorzy:
Andry, Johanes Fernandes
Nurprihatin, Filscha
Liliana, Lydia
Powiązania:
https://bibliotekanauki.pl/articles/24200510.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
decision support system
extreme programming
furniture manufacture industry
supply chain
Opis:
Increased competition has led businesses to compete with each other in streamlining supply chain processes, especially in the manufacturing sector. Supply Chain Management (SCM) determines the success of industrial business processes because it regulates product flow regarding integration, performance, and information. However, several problems have emerged in the supply chain process, such as a lack of coordination in the production queue, difficulties in forecasting trending products, and suboptimal production capacity. To address these issues, the role of information technology is crucial for implementing a Decision Support System (DSS). This study aims to develop a DSS to improve the supply chain processes. The research method used is Extreme Programming (XP) with a qualitative approach through a questionnaire. The research process involves collecting data, defining boundaries and problems, and designing, coding, and testing the system. As a final step, evaluation is carried out by distributing surveys to obtain valid satisfaction results. This research produces a DSS that has applicability in marketing, accounting, and production processes. The application of DSS in the furniture manufacturing industry can help manage the movement of resources, optimize strategic networks, and assist decision-making in the supply chain process.
Źródło:
Management and Production Engineering Review; 2023, 14, 2; 124--133
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy Multi-criteria Decision Model to Support Product Quality Improvement
Autorzy:
Siwiec, Dominika
Gawlik, Remigiusz
Pacana, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/24200512.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
production engineering
decision support
quality
FAHP
FTOPSIS
multi-criteria decision making
Opis:
Improving product quality while making decisions remains a challenge. The objective of this research was to develop a model that supports the precise enhancement of product quality through comprehensive analysis of possibilities, product incompatibilities, root causes, and recommended improvement actions. The model incorporated various tools and methods such as the SMARTER method, expert team selection, brainstorming, Ishikawa diagram, 5M+E rule, FAHP, and FTOPSIS methods. The study demonstrated that integrating quality management tools and decision-making methods into a unified model enables the accurate prioritization of activities for product quality management. This integrated approach represents the novelty of this research. The model was evaluated using a mechanical seal made of 410 alloy. The research findings can be valuable to enterprises seeking to enhance product quality at any stage of production, particularly for modified or new products.
Źródło:
Management and Production Engineering Review; 2023, 14, 2; 134--149
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of Selected Mechanical Properties in Austempered Ductile Iron with Different Wall Thickness by the Decision Support Systems
Autorzy:
Jaśkowiec, Krzysztof
Opaliński, Andrzej
Kustra, Piotr
Jach, D.
Wilk-Kołodziejczyk, Dorota
Powiązania:
https://bibliotekanauki.pl/articles/27314159.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
ADI
austempered ductile iron
mechanical properties
prediction
decision support systems
decision tree
żeliwo sferoidalne
właściwości mechaniczne
prognozowanie
systemy wspomagania decyzji
Opis:
The structure of Austempered Ductile Iron (ADI) is depend of many factors at individual stages of casting production. There is a rich literature documenting research on the relationship between heat treatment and the resulting microstructure of cast alloy. A significant amount of research is conducted towards the use of IT tools for indications production parameters for thin-walled castings, allowing for the selection of selected process parameters in order to obtain the expected properties. At the same time, the selection of these parameters should make it possible to obtain as few defects as possible. The input parameters of the solver is chemical composition Determined by the previous system module. Target wall thickness and HB of the product determined by the user. The method used to implement the solver is the method of Particle Swarm Optimization (PSO). The developed IT tool was used to determine the parameters of heat treatment, which will ensure obtaining the expected value for hardness. In the first stage, the ADI cast iron heat treatment parameters proposed by the expert were used, in the next part of the experiment, the settings proposed by the system were used. Used of the proposed IT tool, it was possible to reduce the number of deficiencies by 3%. The use of the solver in the case of castings with a wall thickness of 25 mm and 41 mm allowed to indication of process parameters allowing to obtain minimum mechanical properties in accordance with the PN-EN 1564:2012 standard. The results obtained by the solver for the selected parameters were verified. The indicated parameters were used to conduct experimental research. The tests obtained as a result of the physical experiment are convergent with the data from the solver.
Źródło:
Archives of Foundry Engineering; 2023, 23, 2; 137--144
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Single-channel EEG processing for sleep apnea detection and differentiation
Autorzy:
Prucnal, Monika A.
Polak, Adam G.
Powiązania:
https://bibliotekanauki.pl/articles/27311744.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
single-channel EEG
sleep apnea detection
optimization of signal processing
medical decision support
Opis:
Sleep apnea syndrome is a common sleep disorder. Detection of apnea and differentiation of its type: obstructive (OSA), central (CSA) or mixed is important in the context of treatment methods, however, it typically requires a great deal of technical and human resources. The aim of this research was to propose a quasi-optimal procedure for processing single-channel electroencephalograms (EEG) from overnight recordings, maximizing the accuracy of automatic apnea or hypopnea detection, as well as distinguishing between the OSA and CSA types. The proposed methodology consisted in processing the EEG signals divided into epochs, with the selection of the best methods at the stages of preprocessing, extraction and selection of features, and classification. Normal breathing was unmistakably distinguished from apnea by the k-nearest neighbors (kNN) and an artificial neural network (ANN), and with 99.98% accuracy by the support vector machine (SVM). The average accuracy of multinomial classification was: 82.29%, 83.26%, and 82.25% for the kNN, SVM and ANN, respectively. The sensitivity and precision of OSA and CSA detection ranged from 55 to 66%, and the misclassification cases concerned only the apnea type.
Źródło:
Metrology and Measurement Systems; 2023, 30, 2; 323--336
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sustainability assessment of the energy generation systems
Autorzy:
Drożdż, Wojciech
Vovk, Yuriy
Widera, Katarzyna
Łopatka, Agnieszka
Gawlik, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/27324310.pdf
Data publikacji:
2023
Wydawca:
Fundacja Centrum Badań Socjologicznych
Tematy:
sustainable energy
energy generation systems
European Union
multi-criteria decision analysis
policy support
Opis:
Purpose: This paper aims to assess the sustainability of energy generation systems in various European Union countries. It seeks to understand the diverse challenges and opportunities these countries face in transitioning to sustainable energy. Methodology: The study employs a multi-criteria decision analysis (MCDA) approach, considering economic, environmental, and social aspects. Data from various databases, including Eurostat, the International Energy Agency, and the World Bank, were analyzed. Results: The results reveal significant variations in sustainability performance across different countries and regions. With strong policy support and high public awareness, Scandinavian countries generally performed well across all sustainability indicators. In contrast, Eastern European countries faced more challenges due to their heavy reliance on fossil fuels. Theoretical Contribution: This study contributes to the ongoing discourse on sustainable energy by providing a comprehensive assessment of the sustainability of energy generation systems. It underscores the complex and multifaceted nature of sustainability and the various factors that influence it. Practical Implications: The findings provide valuable insights for policymakers and energy providers. They highlight the importance of policy support, public awareness, and acceptance in promoting sustainable energy. They also underscore the need for continued efforts and interventions to address the challenges faced by countries heavily reliant on fossil fuels.
Źródło:
Journal of Sustainable Development of Transport and Logistics; 2023, 8, 2; 249--258
2520-2979
Pojawia się w:
Journal of Sustainable Development of Transport and Logistics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
System wspomagający wykrywanie treści wizualnych i tekstowych zagrażających bezpieczeństwu dzieci w cyberprzestrzeni
Autorzy:
Niewiadomska-Szynkiewicz, Ewa
Różycka, Martyna
Staciwa, Katarzyna
Nyczka, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/20311655.pdf
Data publikacji:
2023-10-31
Wydawca:
Akademia Sztuki Wojennej
Tematy:
cybersecurity
Child Sexual Abuse Material
CSAM
decision support system
artificial intelligence
machine learning
deep learning
Opis:
In recent years, there has been a significant increase in threats to children’s safety in cyberspace. The most serious of these include children’s participation in illegal online activities and the production of sexually explicit content involving them. Therefore, it is of fundamental importance to build awareness of cyber threats among our society’s youngest members and teach them skills for the safe use of products and services assigned to cyberspace. A key action for effectively protecting children in this environment is the early detection and reporting to the relevant authorities of illegal behavior and child abuse content. Teams such as Dyżurnet.pl, whose tasks currently include responding to potentially illegal content reported by cyberspace users, and in the near future, possibly also conducting proactive activities in this area, play an important role here. The experience of Dyżurnet.pl clearly shows that effective detection of such content requires automation of activities and appropriate IT tools. This paper presents a novel network monitoring and decision support system using artificial intelligence methods, including deep learning, to automatically detect potentially harmful material, such as Child Sexual Abuse Material (CSAM), erotic content involving children, pornographic content with a created or processed image of a child and pornography involving adults.
Źródło:
Cybersecurity and Law; 2023, 10, 2; 202-220
2658-1493
Pojawia się w:
Cybersecurity and Law
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Work stress among workers of a Moroccan company
Autorzy:
Arji, Samira
Elhaddadi, Mounia
Touhami Ahami, Ahmed Omar
Ziri, Rabea
Powiązania:
https://bibliotekanauki.pl/articles/29519209.pdf
Data publikacji:
2023-03-18
Wydawca:
Fundacja Edukacji Medycznej, Promocji Zdrowia, Sztuki i Kultury Ars Medica
Tematy:
work stress
iso-strain
job-strain
decision latitude
psychological demand
social support
Opis:
Work stress or job-strain and iso-strain are perceived when there is a conflict between the demands placed on a person and their resources to cope with them. They have negative effects on worker health, and organizational productivity and performance. Our study consists of evaluating work stress and its components. 102 workers of different functions (senior managers, supervisors, technicians and executing workers) volunteered and were invited to complete anonymously the Karasek questionnaire (JCQ). The analysis of the results showed a significant prevalence of iso-strain and job-strain. Thus, low decision latitude and high psychological demands are the most widespread stress factors. These results show the need to disseminate information and prevention programs against work stress to managers and staff to ensure the effective performance of a company.
Źródło:
Acta Neuropsychologica; 2023, 21(1); 33-42
1730-7503
2084-4298
Pojawia się w:
Acta Neuropsychologica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wsparcie IT w procesie wyboru kierunku studiów: koncepcja i testowanie aplikacji dla kandydatów na studia w AGH
IT Support in the Process of Choosing a Field of Study: Concept and Testing of Applications for Candidates for Studies at The University of Science and Technology (AGH)
Autorzy:
Worek, Barbara
Pełech-Pilichowski, Tomasz
Kocór, Marcin
Micek, Dorota
Powiązania:
https://bibliotekanauki.pl/articles/30147115.pdf
Data publikacji:
2023
Wydawca:
Katolicki Uniwersytet Lubelski Jana Pawła II. Towarzystwo Naukowe KUL
Tematy:
educational decisions
IT support in the field of education
support for decision-making processes
selection of the field of study
decyzje edukacyjne
wsparcie IT w obszarze edukacji
wsparcie procesów decyzyjnych
wybór kierunku studiów
Opis:
W artykule przedstawiono możliwości wykorzystania wsparcia IT w procesie wyboru kierunku studiów. Możliwości te omówiono na przykładzie projektowanej i testowanej w AGH aplikacji pozwalającej na przedstawianie kandydatom na studia rekomendowanych kierunków, dopasowanych do ich preferencji, predyspozycji, planów związanych ze studiami i karierą zawodową. Projektowane narzędzie ma ułatwiać podejmowanie wyborów, wskazywać potencjał danego kierunku studiów, redukować obciążenia związane z procesem wyboru i jego złożonością. Artykuł przedstawia założenia, które wykorzystano do budowy koncepcji narzędzia, jego elementy i funkcjonalności.
The article presents the possibilities of using IT support in the process of choosing a field of study. These possibilities are discussed on the example of an application designed and tested at the University of Science and Technology (AGH), which allows candidates to be presented with recommended fields of study, tailored to their preferences, predispositions, plans related to studies, and professional career. The tool is designed to facilitate decision making, indicate the potential of a given field of study, and reduce the burden related to the selection process and its complexity. The article presents the assumptions that were used to build the concept of the tool, its elements, and functionalities.
Źródło:
Roczniki Nauk Społecznych; 2023, 51, 3; 7-19
0137-4176
Pojawia się w:
Roczniki Nauk Społecznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zgoda dyrektora generalnego KOWR na nabycie nieruchomości rolnej. Wybrane problemy prawne
Consent of the General Director of the State Centre for the Support of Agriculture for the acquisition of agricultural property. Selected legal issues
L’autorizzazione del direttore generale del centro nazionale per il sostegno agricolo all’acquisto dell’immobile agricolo. alcuni problemi giuridici scelti
Autorzy:
Łobos-Kotowska, Dorota
Powiązania:
https://bibliotekanauki.pl/articles/29802614.pdf
Data publikacji:
2023-01-27
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
National Centre for the Support of Agriculture
decision of the General Director
limitation of the ownership of agricultural real estate
Krajowy Ośrodek Wsparcia Rolnictwa
decyzja dyrektora generalnego
ograniczenie własności nieruchomości rolnych
Opis:
Celem rozważań jest ocena ewolucji ograniczeń w obrocie nieruchomościami rolnymi, z uwzględnieniem swoistego charakteru umów prowadzących do przeniesienia własności nieruchomości rolnych oraz publicznoprawnego charakteru ingerencji władzy publicznej w obrót nieruchomościami rolnymi. Szczególnym przejawem takiej ingerencji jest zgoda dyrektora generalnego KOWR na nabycie nieruchomości rolnej przez podmiot, który nie spełnia ustawowych przesłanek. Zgoda taka wyrażana jest w formie decyzji administracyjnej i poprzedza zawarcie umów, które skutkują przeniesieniem własności nieruchomości rolnej. W konkluzji autorka stwierdza wzrost ingerencji państwa w obrót nieruchomościami rolnymi. Proces ten realizowany jest przy zastosowaniu metod publicznoprawnych. Konieczność uzyskania zgody dyrektora generalnego KOWR stanowi bowiem władczą ingerencję w sferę prawa własności.
L’articolo si propone di valutare l’evoluzione dei vincoli alla compravendita degli immobili agricoli, tenendo conto sia della specificità dei contratti di trasferimento di proprietà degli immobili agricoli sia di un carattere pubblico che caratterizza l’ingerenza della pubblica amministrazione nella compravendita in esame. Un caso particolare di tale ingerenza è l’autorizzazione del Direttore generale del Centro nazionale per il sostegno agricolo all’acquisto di un immobile agricolo da parte di un ente che non soddisfa i requisiti di legge. Tale autorizzazione è espressa sotto forma di decisione amministrativa e viene rilasciata prima della stipulazione dei contratti di trasferimento di proprietà degli immobili agricoli. Nella parte conclusiva l’autrice fa notare che la suddetta ingerenza è aumentata. Questo processo si realizza attraverso modalità di carattere pubblico in quanto il fatto di dover ottenere l’autorizzazione del Direttore generale del Centro è un’ingerenza imperiosa nella sfera dei diritti di proprietà.
The aim of this study was to assess the evolution of restrictions on the trading in agricultural real estate, taking into account the specific nature of contracts that lead to the transfer of agricultural real estate, and the public law nature of interference exercised by a public authority in the trading in agricultural real estate. A particular manifestation of such interference is the requirement of a consent of the General Director of the State Centre for the Support of Agriculture prior to the acquisition of agricultural real estate by an entity that does not meet the statutory prerequisites. The consent takes the form of an administrative decision and precedes the conclusion of agreements resulting in the transfer of ownership of agricultural real estate. The study has determined that there is an ongoing increase of the state interference in the trading in agricultural real estate being implemented with the use of public law means. The mandatory consent of the General Director of the State Centre for the Support of Agriculture constitutes a sovereign interference in the sphere of property rights.
Źródło:
Przegląd Prawa Rolnego; 2022, 2(31); 69-80
1897-7626
2719-7026
Pojawia się w:
Przegląd Prawa Rolnego
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 416

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