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Publications - 6289

Isolation of chemical constituents from Filago vulgaris and antiproliferative activity of the plant extract and its flavonoid against human tumor cell lines

Gergely Király Gyula Pinke István Zupkó Zsuzsanna Hajdú Peter Forgo Judit Hohmann

Publication Name: Pakistan Journal of Pharmaceutical Sciences

Publication Date: 2020-07-01

Volume: 33

Issue: 4

Page Range: 1593-1597

Description:

Phytochemical investigation of the whole plant of Filago vulgaris Lam. (Asteraceae) resulted in the isolation and characterization of seven compounds, including a rare methoxylated flavonol (araneol), tetrahydrofurofuranolignans (pinoresinol and syringaresinol), p-hydroxybenzaldehyde, vanillin, vanillic acid and scopoletin. The structures of the compounds were determined by NMR and mass spectroscopy. All compounds were first obtained from this species and reported for the genus Filago. Our results demonstrate that highly methoxylated flavonols lacking substituents on ring B and lignans can be regarded as taxonomic markers for the tribe Inuleae. The lipophilic extract of F. vulgaris was found to have antiproliferative activity against HeLa cells (62.1±0.9% inhibition at 30 µg/ml), and araneol was highly effective against this tumour cell line (IC50 8.36 μM).

Open Access: Yes

DOI: 10.36721/PJPS.2020.33.4.REG.1593-1597.1

Growth, biostimulant and biopesticide activity of the MACC-1 Chlorella strain cultivated outdoors in inorganic medium and wastewater

Francisco Gabriel Acién Fernández Gergely Lakatos Zoltán Molnár Tomáš Grivalský João Artur Câmara Manoel Karolína Ranglová Francisca Suárez Estrella Vince Ördög Jiří Masojídek

Publication Name: Algal Research

Publication Date: 2021-03-01

Volume: 53

Issue: Unknown

Page Range: Unknown

Description:

The use of wastewater (WW) for cultivation contributes to the sustainability of microalgae production due to the reduced costs of cultivation. The main objective of this work was to study growth, physiological performance and bioactivity of the microalgae strain Chlorella vulgaris MACC-1 grown in two nutrient sources – inorganic BG-11 medium and centrate from municipal WW. For the comparison, two thin-layer cultivation units – thin-layer cascade and a novel, thin-layer raceway pond – were used. The cultures grew well in both units showing good photosynthetic activity. The germination index of watercress seeds, as well as the auxin-like activity in mung bean and cytokinin-like activity in wheat growth tests were used to evaluate the biostimulant potential. The slight increase on the germination index was determined in C. vulgaris cultures grown in BG-11, but the biomass revealed no biostimulant activity when cultivated in WW. On the other hand, the antibacterial and antifungal activities determined by antagonism bioassay using dual cultures were significantly higher when grown in WW. We expect that the antimicrobial activities may be induced by WW-microbes and the biostimulating effect could probably be suppressed by the presence of some inhibiting substances. The results revealed a clear interplay among ambient irradiance intensity, growth rate, maximum quantum yield of PSII, Fv/Fm and oxygen production/respiration.

Open Access: Yes

DOI: 10.1016/j.algal.2020.102136

A bibliometric analysis of IoT applications in logistics and supply chain management

Imen Zrelli Abderahman Rejeb

Publication Name: Heliyon

Publication Date: 2024-08-30

Volume: 10

Issue: 16

Page Range: Unknown

Description:

The rapid integration of the Internet of Things (IoT) into logistics and supply chain management (SCM) marks a significant transformation towards enhanced efficiencies, security, and sustainability. Through a comprehensive bibliometric analysis of 2680 publications from the Scopus database, this study charts the evolution of IoT within logistics and SCM and reveals a shift from foundational explorations to mature implementations. The research unfolds a complex thematic structure, highlighting the revolutionary impacts of IoT and related technologies such as RFID, the synergy of Industry 4.0 with SCM through Artificial Intelligence (AI) and the Industrial Internet of Things (IIoT), the strategic role of blockchain for enhanced traceability and security, and the advent of novel communication and encryption technologies for secure data exchanges. Further, the analysis categorizes the scholarly discourse into critical areas including big data and IoT optimization in SCM, IoT-driven innovation in the food supply chain, applications of blockchain and smart contracts, digital transformation through Industry 4.0, security advancements with intelligent systems, and the exploration of advanced technologies for Industry 4.0 and 5.0. This review not only delineates the intellectual landscape of IoT applications in logistics and SCM but also identifies emerging research areas such as blockchain integration, 5G potential, and AI-driven optimizations, suggesting pathways for future research to broaden the understanding in this dynamically evolving field. It serves as an essential resource for academics and practitioners, providing insights into the transformative role of IoT in logistics and SCM and proposing directions for future technological and academic endeavors.

Open Access: Yes

DOI: 10.1016/j.heliyon.2024.e36578

Misinterpretation of sample contamination in a Hungarian casework

Gabor Kovacs Zsolt Pádár

Publication Name: Forensic Science International Genetics Supplement Series

Publication Date: 2015-12-01

Volume: 5

Issue: Unknown

Page Range: e425-e427

Description:

The risk of contamination is a generally recognized and intensively researched field of forensic DNA [1–5]. In spite of quality assurance systems, recommendations and regulations, this risk is always present even in routine casework as evidenced by this example from Hungary. In a murder case, buried bodies were discovered and exhumed. The genetic analyses of remains were performed in two different laboratories (A and B). In case of unidentifiable N.N. body the first analysis in “Lab A” used the soft tissues (muscle) from bone sample. Based on the results, the first two opinions of “Lab A” excluded the biological relationship of N.N. with the putative relatives. The subsequent analysis of “Lab B” used the soft tissue parallel to the bone sample from the N.N. body, and the opinion supported the hypothesis of biological (maternal) relationship with high probability (W = 99.999%). We examined and tried to resolve the contradictions presented by the two interpretations, which originate from contamination of the remaining soft tissue.

Open Access: Yes

DOI: 10.1016/j.fsigss.2015.09.169

A scalable parallel genetic algorithm for solving linear systems

G. Y. Molnarka

Publication Name: Proceedings of the 5th International Conference on Engineering Computational Technology

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

For solving linear system of equations is known several algorithms. Iteration algorithms are recommended for the large linear systems with sparse matrix. But in the case of general non-symmetrical or n x m matrices the classic iterative algorithms are not applicable with a few exceptions. For example in some cases the Lanczos type algorithms are adequate. The algorithm presented here based on the minimization of square of residuum of approximate solution and it has some genetic character. Therefore this algorithm seems to be applicable for construction of parallel algorithm. Here we describe a parallel version of proposed algorithm and give its theoretical analysis. © 2006 Civil-Comp Press.

Open Access: Yes

DOI: DOI not available

A meshless boundary element technique based on multi-level iterated Helmholtz-type interpolation

Csaba Gáspár

Publication Name: International Series on Advances in Boundary Elements

Publication Date: 2002-12-01

Volume: 13

Issue: Unknown

Page Range: 105-114

Description:

A special scattered data interpolation technique is introduced. The interpolation problem is converted to a higher order auxiliary PDE, typically to an iterated Laplace or Helmholtz equation. To solve this PDE, robust multilevel methods are used which are based on a quadtree/octtree subdivision algorithm. Thus, the solution of large interpolation equations are avoided. Using this interpolation method, meshless techniques are constructed which require a set of boundary points only, without any structure. Theoretical results as well as numerical examples are also presented.

Open Access: Yes

DOI: DOI not available

Defining energy- and cost-saving potentials and their application in optimal building refurbishment

Árpád Csík Tamás Csoknyai

Publication Name: Environmental Engineering and Management Journal

Publication Date: 2014-01-01

Volume: 13

Issue: 11

Page Range: 2771-2779

Description:

In this paper, we develop a rigorous theoretical framework and a practical implementation for the evaluation of the energy- and cost-saving potential of buildings. The goal is to promote sustainability in the context of building energetics by achieving the most efficient, optimal exploitation of the financial resources available for refurbishments. The practical realization of this concept requires the evaluation of the optimal refurbishment cost that maximizes the net energetic or financial savings during the life cycle of the building. On the one hand, too small a refurbishment cost might lock-in a substantial amount of energy and cost savings potential. On the other hand, refurbishment costs that are too high due to unnecessarily implemented energy-saving measures are likely to waste financial resources. The key concept behind the theory is the novel definition of the reference value used for the computation of the energy- and cost-saving potentials. From a mathematical point of view, the reference value is obtained by two subsequent optimizations. First, a constrained, single-objective optimization is used to evaluate the best energetic state of the building as a function of the refurbishment cost. Second, a simple unconstrained search must be performed to obtain the minimum value and the minimum place of the one-dimensional cost function. The proposed framework automatically provides personalized solutions corresponding to the actual technical characteristics of the building. These solutions are optimal under the given circumstances of the actual refurbishment, resulting in either the highest possible energy- or cost-saving amounts during the life cycle of the building.

Open Access: Yes

DOI: 10.30638/eemj.2014.309

Reliability based analysis and optimum design of laterally loaded piles

Majid Movahedi Rad

Publication Name: Periodica Polytechnica Civil Engineering

Publication Date: 2017-01-01

Volume: 61

Issue: 3

Page Range: 491-497

Description:

In this study reliability based limit analysis is used to determine the ultimate capacity of laterally loaded piles. The aim of this study is to evaluate the lateral load capacity of free-head and fixed-head long pile when plastic limit analysis is considered. In addition to the plastic limit analysis to control the plastic behaviour of the structure, uncertain bound on the complementary strain energy of the residual forces is also applied. This bound has significant effect for the load parameter. The solution to reliability-based problems is based on a direct integration technique and the uncertainties are assumed to follow Gaussian distribution. The optimization procedure is governed by the reliability index calculation.

Open Access: Yes

DOI: 10.3311/PPci.8756

Dissipation-Induced Luttinger Liquid Correlations in a One-Dimensional Fermi Gas

Ádám Bácsi Balázs Dóra Balázs Dóra Cǎtǎlin Paşcu Moca

Publication Name: Physical Review Letters

Publication Date: 2020-04-03

Volume: 124

Issue: 13

Page Range: Unknown

Description:

We study a one-dimensional Fermi gas in the presence of dissipative coupling to environment through the Lindblad equation. The dissipation involves energy exchange with the environment and favours the relaxation of electrons to excitations. After switching on the dissipation, the system approaches a steady state, which is described by a generalized Gibbs ensemble. The fermionic single particle density matrix resembles deceivingly to that in a hermitian interaction quench. It decays inversely with the distance for short times due to the fermionic correlations in the initial state, which changes into a noninteger power law decay for late times, representing dissipation-induced Luttinger liquid behavior. However, the crossover between the two regions occurs due to dissipation-induced damping, and is unrelated to the propagation of excitations. The velocity of information spreading is set by the dissipative coupling, and differs significantly from the original sound velocity. The thermodynamic entropy grows as -t ln t initially, and saturates to an extensive value. Our results can be tested experimentally in one-dimensional Dirac systems.

Open Access: Yes

DOI: 10.1103/PhysRevLett.124.136401