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Publications - 6374

Simulating near-surface water infiltration in the Szigetköz region

Publication Name: Pollack Periodica

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The Szigetköz region in north-west Hungary is ecologically sensitive and lies in the Danube River system. Over the past 40 years, ground water and surface water levels have varied significantly due to human activity. This study uses HYDRUS-1D code to simulate shallow ground water dynamics in 1–2 m deep soil profiles. Local meteorological data, soil types (loam, sandy loam, clay loam), vegetation (pasture, corn), and ground water levels inform the model. Results show how dry, average, and wet years affect soil moisture and recharge. The study highlights the impact of vegetation type and ground water depth on infiltration. Findings support future work on climate change, land use, and sustainable water management.

Open Access: Yes

DOI: 10.1556/606.2026.01408

Gene Expression of Peroxisome Proliferator-Activated Receptor γ in Mangalica and Large White Pigs

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 271-276

Description:

The expression of peroxisome proliferator-activated receptor γ gene (PPARγ) – a major regulator of adipogenesis and intramuscular fat deposition in pigs – was analysed in different tissues of Blonde Mangalica (M) and Hungarian Large White (LW) by means of quantitative reverse transcription PCR. In total, 20 experimental animals were raised and fed under identical conditions, and transported to the abattoir at similar body weight (124.7±10.3 kg; p>0.05). In both breeds highest PPARγ expression was observed in backfat (p<0.001), whereas lower levels were measured in muscle samples. The PPARγ mRNA levels in loin (m. longissimus dorsi) and semimembranosus muscle samples did not differ (p>0.05). Elevated PPARγ expression was observed in M backfat compared to LW (p<0.05). Loin and semimembranosus muscle samples of M showed higher PPARγ mRNA levels than LW (P<0.001), as well. Loin muscle marbling scores significantly correlated with β-actin normalized PPARγ expression (r=0.63; p<0.001) indicating the involvement of PPARγ in the regulation of intramuscular fat development. In conclusion, the differential expression of PPARγ in backfat and muscle samples can contribute to the remarkable differences in the constitution and intramuscular fat accumulation of fat-type M and lean-type commercial LW. Muscle PPARγ mRNA levels may be used as an indicator of marbling characteristics in pigs.

Open Access: Yes

DOI: 10.3303/CET23107046

Laboratory Investigation on the Effect of Microsilica Additive on the Mechanical Behavior of Deep Soil Mixing Columns in Saline Dry Sand

Publication Name: Periodica Polytechnica Civil Engineering

Publication Date: 2021-11-02

Volume: 65

Issue: 4

Page Range: 1080-1091

Description:

Since loose and salty subgrades consider as problematic barriers while constructing new transportation infrastructures such as railway tracks and roads are required, the current study aims to find a solution to stabilize these kinds of subgrades using the deep soil mixing (DSM) technique and micro silica additive. In the present study a series of experimental DSM columns were executed in a salty sand-filled chamber utilizing a laboratory scale DSM apparatuses. In the first step, by adding three salt percentages of 5, 10 and 20 into the original sand, four different sandy subgrades with a relative density of 70% were prepared. Considering three percentages of 10, 15 and 20 for micro silica additive, the water-to-cement ratio of 1, salt percentages of 0, 5, 10 and 20 totally 150 sand-cement columns were constructed in the lab environment. In continuation, unconfined compression strength (UCS) and elasticity modulus of all capped DSM columns have been determined and interpreted using scanning electron microscope (SEM) images at three ages of 7,14 and 28 days. The results indicated that increasing the salinity of subgrade soil from 0 to 20% resulted in a falling UCS and Young module by 28 and 21% for 28-days specimens. Furthermore, as a solution, adding micro silica in cement-water grout up to 15% resulted in enhancing mechanical characteristics of the DSM columns. So that adding 15% microsilica caused a 21 and 42% increase in UCS and elasticity modulus of 28-days samples respectively, executed in subgrade with 20% salt.

Open Access: Yes

DOI: 10.3311/PPci.18126

Encountering the cognitive and noetic endeavors of macedon renaissance : PPart II: Macedonian renaissance and system of depicting and meaning for the picture of sephanus rex on the coronation mantle (Royal Casula) of St Stephen of Hungary. Anagrams and their Cognitive Interpretations

Publication Name: 11th IEEE International Conference on Cognitive Infocommunications Coginfocom 2020 Proceedings

Publication Date: 2020-09-23

Volume: Unknown

Issue: Unknown

Page Range: 533-542

Description:

The paper discusses artworks of Royal (Coronation) Robe (Casula) of St Stephen of Hungary in the style of the Macedonian Renaissance representing noetic and pneumatic experiences renewing the traditional Christian views and interpretations. In this part in the framework of the old Greek noetic and Israelite-Judaic pneumatic experiences, the narrative in Plato's sense uses old mythological patterns not as a religious idea but a hermeneutical didactically support the original noetic or pneumatic experience.

Open Access: Yes

DOI: 10.1109/CogInfoCom50765.2020.9237909

On the physical and mathematical interpretation of the isokinetic hypothesis

Publication Name: Journal De Physique IV JP

Publication Date: 2004-12-01

Volume: 120

Issue: Unknown

Page Range: 85-91

Description:

Based on the investigation of additive kinetic differential equations it is shown that the concept of the traditional isokinetic hypothesis defined by Christian can be easily generalized. By introducing the notion of the weakly isokinetic process, it is verified that the extended isokinetic model can be expressed in terms of an integro-differential equation. A special property of this integro-differential equation is that its right-hand side includes such state-parameters, which are determined by the whole temperature history (i.e. each state parameter is a functional of the time-temperature function, or any other selected state functions). © EDP Sciences.

Open Access: Yes

DOI: 10.1051/jp4:2004120009

Preface

Publication Name: Studies in Computational Intelligence

Publication Date: 2023-01-01

Volume: 1040

Issue: Unknown

Page Range: v-ix

Description:

No description provided

Open Access: Yes

DOI: DOI not available

A Comprehensive Model for the Assessment of Digitalization Transformation in Supply Chain Management †

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

The rise of Industry 4.0 has made digital transformation a critical element of modern supply chain management, offering organizations a pathway to competitive advantage. While the prior literature has examined aspects of digitalization, few studies present a comprehensive view of the transformation process through to its practical application. This study proposes and aims to validate a digital transformation model developed by the author, based on a systematic literature review of 284 articles from Scopus and Web of Science. The model outlines a progression from data management to the integration of enabling technologies, culminating in enhanced supply chain decision-making. It introduces three key metrics—readiness, adoption, and Digital Maturity—to guide companies through distinct stages of transformation. Validation will be conducted using a mixed-methods approach, combining expert interviews and a quantitative survey with SCM professionals. This study offers both a theoretical framework and practical roadmap to support organizations in evolving their digital transformation strategies.

Open Access: Yes

DOI: 10.3390/engproc2025113064

Stabilization of Expansive Soils Using Mechanical and Chemical Methods: A Comprehensive Review

Publication Name: Civil Engineering and Architecture

Publication Date: 2021-08-01

Volume: 9

Issue: 5

Page Range: 1289-1294

Description:

The presence of expansive soils on construction sites is problematic in geotechnical engineering. The swell-shrink behaviour makes these soils not suitable to be used in their natural state. The expansive soil damages cause financial loss yearly more than floods, hurricanes, tornadoes, and earthquakes combined. Moreover, the cost of cut to spoil of expansive soils during construction projects has continued to rise because of the high cost of earthworks, haulage, and the increasing scarcity of spoil areas because of the built environment. Nonetheless, a proper stabilization technique can significantly enhance the expansive soil's properties. The research project attempts to review, report the limits and merits of mechanical and chemical methods utilized to stabilize expansive soils in line with their efficiency, environmental concerns, and cost-effectiveness. A review of mechanical and chemical treatment techniques is conducted in this regard. Ultimately, each stabilization method exhibits its merits and limitations. The lack of standards for the treatment of swelling soils is a significant problem in engineering practice. Specialists in the domain of soil treatment must work together to obtain an optimized stabilization approach and protocol. Moreover, engineers should perform a geoenvironmental assessment appropriate for chemical stabilization methods and additives utilized. This research work contributes as a guideline in the selection and application of chemical and mechanical stabilization methods.

Open Access: Yes

DOI: 10.13189/cea.2021.090503

Optimization in fuzzy flip-flop neural networks

Publication Name: Studies in Computational Intelligence

Publication Date: 2010-11-03

Volume: 313

Issue: Unknown

Page Range: 337-348

Description:

The fuzzy J-K and D flip-flops present s-shape transfer characteristics in same particular cases. We propose the fuzzy flip-flop neurons; single input-single output units derived from fuzzy flip-flops as sigmoid function generators. The fuzzy neurons-based neural networks, Fuzzy Flip-Flop Neural Networks (FNN) parameters are quasi optimized using a second-order gradient algorithm, the Levenberg-Marquardt method (LM) and an evolutionary algorithm, the Bacterial Memetic Algorithm with Modified Operator Execution Order (BMAM). The quasi optimized FNN's performance based on Dombi and Yager fuzzy operations has been examined with a series of test functions. © 2010 Springer-Verlag Berlin Heidelberg.

Open Access: Yes

DOI: 10.1007/978-3-642-15220-7_27