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Found 6288 publications

The Natural Pattern-based Fuzzy Investment System

Publication Name: Journal of Ecohumanism

Publication Date: 2024-09-20

Volume: 3

Issue: 7

Page Range: 2003-2018

Description:

The underlying research problem concerns simplifying nature’s infinite sustaina-bility pattern into a usable system to prove self-care in the financial field. Many disciplines have discovered self-sustaining systems, implying one should also exist in the portfolio-or asset management field. This paper models and applies a self-sustaining invest-ment system based on nature’s sustainability pattern to present a usable and easi-ly adaptable financial self-care model that can contribute to societal and individ-ual well-being.This interdisciplinary research incorporates fractal patterns from na-ture and integrates these into an innovative investment decision system via a working and utilizable model. The article approaches the problem in three ways. First, it applies an unprecedented, proprietary fuzzy heuristic approach to parse the Mandelbrot set hiding nature’s growth code. Second, it subjects the resulting model system to static, dynamic, and iterative methods. Finally, it tests the above in practice in a focus group research project based on individual decisions in a portfolio collision. The paper brings manageable order to investment deci-sion processes using a specific econophysics approach to provide a complex whole of frames, alternatives, and dynamic wealth management functions. The paper attempts to demonstrate the self-sustaining power of the natural order in investment portfolio returns, behavioral finance, and wealth management deci-sions. The theory of an efficient, well-functioning, self-sustaining investment decision system based on heuristic criteria is developable and has been proven. The study made the organizational dominance measurable and – through fuzzy logic – simplified the complexity of the Mandelbrot set. The research also shows the scalability of the fuzzy symmetry framework, implying that it is transferable to other disciplines.

Open Access: Yes

DOI: 10.62754/joe.v3i7.4354

Light-blooded, blood-fumed and blood-rich: Cultural conceptualizations of vér 'blood' in Hungarian

Publication Name: Language Heart and Mind Studies at the Intersection of Emotion and Cognition

Publication Date: 2020-06-29

Volume: Unknown

Issue: Unknown

Page Range: 139-160

Description:

One of the key issues of recent linguistic trends is to understand the interface between language, culture and human body. The study of the figurative usage of body part and bodily fluid terms unveils cross-cultural specificities of how they are applied to various aspects of life. Anthropologist Victor Turner considers 'blood' a dominant ritual symbol, which highlights its abundant symbolism in Western and non-Western traditions. Employing a Cultural Linguistic framework, the research proposes the basic cultural conceptualizations of vér 'blood' in the Hungarian language, based on phrases that have been collected from various dictionaries and complemented by data extracted from the Hungarian National Corpus. According to the findings, the underlying conceptualizations include death/fight, kinship, human nature, life force, emotion and intensity, where expressions that convey the meaning of intensity derive from more than one conceptualization. It is further pointed out that numerous phrases are culturally constructed and related to cultural beliefs, events and rites such as blood-brotherhood (vérszerzodés 'blood-contract'), duels (elso vérig 'until first blood'), the Medieval theory of four humours (bovérd 'plentiful-blooded'), or the folk belief related to vampires (vérét szívja 'suck his blood').

Open Access: Yes

DOI: DOI not available

The war in Ukraine in light of international law

Publication Name: Hungarian Journal of Legal Studies

Publication Date: 2024-09-18

Volume: 64

Issue: 4

Page Range: 568-579

Description:

The aggression and the 'special military operation' against Ukraine by the Russian Federation have, since their outset, implied not only the violation of fundamental customary and treaty norms of international law, but, at the same time also undermine the foundations of the contemporary international legal order. The 'special military operation' violates several universal international conventions in the elaboration of which the predecessor state of contemporary Russia, the Soviet Union had a definitive role; furthermore, it expressly breaches Russian undertakings concerning respect for the independence and sovereignty of Ukraine. Since in this case the aggressor state is a permanent member of the UN Security Council, thus, instead of the Council, the emergency special session of the UN General Assembly proceeds on the basis of the Uniting for Peace resolution and makes recommendations for collective measures to the Member States. The present study discusses the most important international norms breached with the aggression and during the war, the resolutions of the emergency special sessions of the UN General Assembly, the post-war situation, as well as the issue of remedy and reparation due to Ukraine.

Open Access: Yes

DOI: 10.1556/2052.2023.00003

Food Industry 4.0: Principles, technologies, and the emergence of Seafood 4.0

Publication Name: Seafood 4 0 Digital Physical and Biological Innovations from Sea to Table

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 3-30

Description:

The global food sector is experiencing a significant transformation through the adoption of Industry 4.0 technologies, including artificial intelligence (AI), blockchain, Internet of Things (IoT), robotics, big data analytics, and smart sensors, among others. These advancements are reshaping food production, processing, and supply chains by enhancing efficiency, transparency, and sustainability. This chapter explores the enabling technologies of Industry 4.0 and introduces the concept of Seafood 4.0, demonstrating how these innovations address challenges in aquaculture, fisheries, and seafood processing by optimizing resource use, enhancing traceability, and ensuring product quality while fostering sustainable practices. Applications such as IoT and smart sensors for aquaculture monitoring, blockchain for fisheries traceability, and robotics for seafood processing automation are transforming the sector. However, adaptation of these applications faces significant challenges, including high costs, infrastructure gaps, and data privacy concerns. Overcoming these obstacles will require collaboration among stakeholders, supportive regulatory frameworks, and strategic investment in innovation. The adoption of these advanced technologies empowers diverse food-related sectors, including seafood, to enhance efficiency, transparency, and sustainability, ensuring food security and promoting environmental stewardship.

Open Access: Yes

DOI: 10.1016/B978-0-443-33750-5.00004-4

A wavelet-based adaptive method for determining eigenstates of electronic systems

Publication Name: Theoretical Chemistry Accounts

Publication Date: 2010-03-01

Volume: 125

Issue: 3-6

Page Range: 471-479

Description:

The possibilities for reducing the necessary computation power in wavelet-based electronic structure calculations are studied. The expansion of the expectation values of energy operators, the integrals of basis functions are mostly system-independent, consequently it is not necessary to compute them in each calculations. Fixed building blocks, such as a parameterized expansion of the nuclear and electron-electron cusp can reduce the amount of necessary calculation. An algorithm for local expansion refinement is also given. It is possible to determine the significant expansion coefficients of a high resolution level without solving the Schrödinger equation using only lower resolution results. © Springer-Verlag 2009.

Open Access: Yes

DOI: 10.1007/s00214-009-0653-6

Multiple-solution heat exchanger network synthesis for enabling the best industrial implementation

Publication Name: Energy

Publication Date: 2020-10-01

Volume: 208

Issue: Unknown

Page Range: Unknown

Description:

The synthesis of heat recovery networks traditionally results in an optimal or suboptimal solution for the supplied set of streams and simplifying assumptions. In the current work, the assumption of a single optimal solution is replaced by the goal of generating an ordered set of optimal or quasi-optimal networks. This enables industrial engineers to further select the solution most suitable for detailed design and practical implementation. The problem is formulated for and solved by an extension of the P-graph framework for combinatorial process network optimization. The presented method for HEN synthesis generates a list of solutions ranked by the Total Annualized Cost. In addition to the feasibility, all list elements also feature a degree of heat recovery ranging from the thermodynamic maximum, down to a specified margin allowing accounting for the energy-capital trade-off. The current method is illustrated with three case studies. The obtained results demonstrate optimal solutions that cannot be generated by the Pinch-based methods or the stage-wise superstructure approaches. The proposed parameters, an upper limit on the number of heat exchangers per process stream and a maximum relaxation of utility demand compared to the Pinch targets, allow performing parametric evaluations of the resulting solutions.

Open Access: Yes

DOI: 10.1016/j.energy.2020.118330

Analysis of Hamacher power aggregation operators for circular complex p, q-quasirung orthopair fuzzy 2-tuple linguistic sets and their application in green industry development

Publication Name: Heliyon

Publication Date: 2024-09-15

Volume: 10

Issue: 17

Page Range: Unknown

Description:

Green industry development focuses on balancing economic and financial growth with environmental stewardship and ensuring that companies and industries are contributing positively to both environmental sustainability and prosperity. This manuscript aims to develop the novel technique of circular complex p, q-quasirung orthopair fuzzy 2-tuple linguistic (CCp, q-QOF2-TL) set and their operational laws based on algebraic t-norms and Hamacher t-norms, where the algebraic t-norms and Einstein t-norms are the special cases of the Hamacher t-norms for parameter ϜℲs=l and ϜℲs=2. Further, we derive the Hamacher power aggregation operators based on any finite collection of CCp, q-QOF2-TL numbers (CCp, q-QOF2-TLNs), called CCp, q-QOF2-TL Hamacher power average (CCp, q-QOF2-TLHPA) operator, CCp, q-QOF2-TL Hamacher power weighted average (CCp, q-QOF2-TLHPWA) operator, CCp, q-QOF2-TL Hamacher power geometric (CCp, q-QOF2-TLHPG) operator, CCp, q-QOF2-TL Hamacher power weighted geometric (CCp, q-QOF2-TLHPWG) operator, and described their basic properties, called idempotency, monotonicity, and boundedness. Further, we demonstrate the technique of multi-attribute decision-making (MADM) problem based on the above operators to evaluate the major factor that will be playing in the development of the green industry. Finally, we compare the proposed ranking values with the obtained ranking values of existing techniques to show the supremacy and superiority of the initiated approaches.

Open Access: Yes

DOI: 10.1016/j.heliyon.2024.e36799

Laboratory tests and numerical modeling for embankment foundation on soft chalky silt using deep-mixing

Publication Name: 18th International Conference on Soil Mechanics and Geotechnical Engineering Challenges and Innovations in Geotechnics Icsmge 2013

Publication Date: 2013-01-01

Volume: 3

Issue: Unknown

Page Range: 2521-2524

Description:

The deep-mixing is nowadays world-wide accepted method as a ground treatment technology to improve the permeability, strength and deformation properties of soils. Binders, such as lime or cement are mixed in-situ with the soil by rotating mixing tools. The method is undergoing rapid development, particularly with regard to its range of applicability, cost effectiveness and environmental advantages. The paper describes the results of laboratory tests on chalky silt samples mixed with cement of different content. The influence of the different mixing parameters on the unconfined compression strength and deformation modulus is shown and evaluated. Typical results of the laboratory tests were used in numerical modeling with PLAXIS 3D as input parameters to study the behavior of a 4 m high embankment constructed on this soil improved by deep mixed columns with different spacing and diameters. The parameters of the soil improvement technique were analyzed to study their influence on the settlement and the stability of the embankment. The trends of the calculation outputs are shown and evaluated.

Open Access: Yes

DOI: DOI not available

Influence of the Tensor Product Model Representation of qLPV Models on the Feasibility of Linear Matrix Inequality Based Stability Analysis

Publication Name: Asian Journal of Control

Publication Date: 2018-01-01

Volume: 20

Issue: 1

Page Range: 531-547

Description:

The paper investigates and proves the statement, that the convex hull of the polytopic tensor product (TP) model representation influences the feasibility of linear matrix inequality (LMI) based stability analysis methods. The proof is based on a complex stability analysis example of a given quasi linear parameter varying (qLPV) state-space model. Specifically, the three degree of freedom (3-DoF) aeroelastic wing section model including Stribeck friction is used as the tool for the example model. The proof is achieved by utilizing TP model transformation and LMI based tools. As a first step, numerous TP model type control solutions holding different convex hulls are systematically derived of the qLPV model via LMI based control design methods. As a second step, each control solution is further equivalently transformed for different TP model representations holding different convex hulls. Finally, the stability of all solutions over all TP model representations are checked via LMI based stability analysis methods. As a result of the two steps, a two dimensional (2D) convex hull space is attained for the 3-DoF aeroelastic wing section model. The two dimensions are denoted by the LMI based control design and the LMI based stability analysis for different convex hulls. Based on the numerical results, a detailed, comprehensive analysis is provided. The paper as a novelty proves the statement, that the polytopic TP model representation of a given control solution strongly influences the feasibility of LMI based stability analysis methods.

Open Access: Yes

DOI: 10.1002/asjc.1566