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Found 6278 publications
Experimental Investigation of Conventional and Advanced Control Strategies for Mini Drone Altitude Regulation with Energy-Aware Performance Analysis
Publication Name: Machines
Publication Date: 2026-01-01
Volume: 14
Issue: 1
Page Range: Unknown
Description:
The energy efficiency and hover stability of unmanned aerial vehicles are critical factors, since improper battery utilization and unstable control are major sources of operational failures and accidents. The proportional–integral–derivative (PID) controller, which is applied in approximately 97% of multirotor unmanned aerial vehicle (UAV) systems, is widely used due to its simplicity; however, it is sensitive to external disturbances and often fails to ensure optimal energy utilization, resulting in reduced flight time. Therefore, the experimental investigation of advanced control methods in a real physical environment is well justified. The objective of the present research is the comparative evaluation of seven control strategies—PID, linear quadratic controller with integral action (LQI), model predictive control (MPC), sliding mode control (SMC), backstepping control, fractional-order PID (FOPID), and H∞ control—using a single-degree-of-freedom drone test platform in a MATLAB R2023b-Arduino hardware-in-the-loop (HIL) environment. Although the theoretical advantages and model-based results of the aforementioned control methods are well documented, the number of real-time comparative HIL experiments conducted under identical physical conditions remains limited. Consequently, only a small amount of unified and directly comparable experimental data is available regarding the performance of different controllers. The measurements were performed at a reference height of 120 mm under disturbance-free conditions and under wind loading with a velocity of 10 km/h applied at an angle of 45°. The controller performance was evaluated based on hover accuracy, settling time, overshoot, and real-time measured power consumption. The results indicate that modern control strategies provide significantly improved energy efficiency and faster stabilization compared to the PID controller in both disturbance-free and wind-loaded test scenarios. The investigations confirm that several advanced controllers can be applied more effectively than the PID controller to enhance hover stability and reduce energy consumption.
Open Access: Yes
Prudent use of antibiotics in pig farming: National and international practices and regulatory framework
Publication Name: Magyar Allatorvosok Lapja
Publication Date: 2026-01-01
Volume: 148
Issue: 2
Page Range: 103-120
Description:
Antimicrobial agents, and especially antibiotics, have played a crucial role in combating infectious diseases for decades. As antimicrobial resistance (AMR) becomes more widespread, treatment efficacy decreases, leading to therapeutic failures and significant economic consequences. Global efforts to address AMR are increasingly guided by the “One Health” approach, which emphasizes coordinated strategies spanning human, animal, plant, and environmental health. AMR is now one of the most pressing global health challenges, affecting humans, animals, crops, and ecosystems alike. Among its many contributing factors, the inappropriate use of antimicrobials is particularly critical. To better understand the factors influencing AMR and to implement and assess strategies for reducing antimicrobial use (AMU), accurate and detailed data on actual usage and indications are essential. Systematic data collection allows stakeholders to evaluate their current antibiotic practices and identify areas needing intervention. In EU member states with established traditions of AMU analysis, centralized databases facilitate benchmarking across sectors and countries; however, reporting and analyzing AMU data remains a significant challenge for both EU and national administrations. At the societal level, growing consumer concern demands that veterinarians and livestock keepers gain a deeper understanding of the root causes of disease and production losses. This knowledge supports informed decision-making aimed at improving overall herd health, ensuring economic viability, promoting responsible AMU, and reducing environmental impact. Experience in Hungary and abroad shows that achieving optimal AMU in large-scale livestock farming requires a shift in mindset. This literature review aims to provide a comprehensive overview of the global, European and Hungarian challenges in the fight against antibiotic resistance. It also presents current data collection and monitoring systems, along with the core principles and strategies of responsible AMU.
Open Access: Yes
Extension of the Time Dependent Travelling Salesman Problem Model with Interval-Valued Fuzzy Soft Sets with Arithmetic Mean Method
Publication Name: Studies in Computational Intelligence
Publication Date: 2026-01-01
Volume: 1222
Issue: Unknown
Page Range: 35-47
Description:
The Traveling Salesman Problem (TSP) is an extensively studied NP-hard graph search problem. Many researchers pursued the most efficient and practical solutions, by applying various techniques to find the optimum or semi optimum solution (the one with least cost). There are numerous practical extensions and modifications of the original problem, such as The Time Dependent Traveling Salesman Problem (TD TSP). Indeed, the TD TSP was towards more realistic assessment of the traffic conditions of the original TSP. The edges between nodes are assigned different costs (weights), whether they are traveled during the rush hour periods or if they crossed the traffic jam regions (such as city centers). In the classic TD TSP, the edges are assigned higher costs using concrete numbers, which might be looked at as a limitation; because those jam factors are non-deterministic and better be represented by fuzzy numbers. In this paper we introduce a more realistic novel fuzzy-based extension, the IVFSSTD TSP (Interval-Valued Fuzzy Soft Set for the Time Dependent Traveling Salesman Problem). Our core concept employs interval-valued fuzzy soft sets on the costs between nodes to realistically quantify the traffic jam regions, and the rush hours periods effects on any tour, then we user the arithmetic mean operator to take in account all factors affecting an edge simultaneously, which lead to less information loss and more adequate representation for the jam factors. Since the interval-valued fuzzy soft sets are generalization of the original fuzzy sets, which has the ability to simulate uncertain road conditions more efficiently than concrete numbers, then our approach can be considered a useful extension and a practical alternative model of the original abstract problem.
Open Access: Yes
Exercise addiction: A review and evaluation of current research and theory
Publication Name: Journal of Behavioral Addictions
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Background and Aims: While regular physical activity provides many health benefits, exercise can cause more harm than good when done excessively to the point where a person loses control. This condition has been called various names, but the most accurate term is ‘exercise addiction’ (EA) because it reflects both compulsive behavior and dependence. EA is classified as a non-substance-related addictive disorder, or behavioral addiction, and has been the subject of research for over fifty years. However, it is not officially recognized in major diagnostic systems, mainly due to significant conceptual and measurement challenges. This paper provides an overview of current knowledge on EA, including its causes, assessment issues, epidemiology, associated conditions, negative effects, and options for treatment and prevention. Methods: An evaluation-driven narrative review was conducted which synthesized findings from empirical research and theoretical models adopted across EA research. It critically examined prevailing conceptualizations, methodological challenges, and potential treatment approaches. Results: Epidemiological findings are inconsistent and report inflated prevalence rates, partly due to reliance on self-report instruments that often fail to distinguish pathological exercise from passion. Etiological models emphasize the complex interplay between biological, psychological, and behavioral factors. Negative consequences include physical injury, emotional distress, and social strain. Evidence for effective interventions remains sparse. Discussion and Conclusions: Despite growing interest, progress remains slow. There is a need for larger, longitudinal, and experimental studies to advance understanding. Though not included in the DSM-5, greater clinical awareness is vital for early detection and prevention. EA is clinically relevant but still poorly defined, requiring robust empirical and theoretical work.
Open Access: Yes
Changes in antibiotic use in Hungarian large pig farms between 2022 and 2024
Publication Name: Magyar Allatorvosok Lapja
Publication Date: 2026-01-01
Volume: 148
Issue: 3
Page Range: 131-148
Description:
Background: The intensification of pig production systems has been associated with increased antimicrobial use (AMU), which remains a key driver of antimicrobial resistance (AMR) and a major concern for both veterinary and public health sectors. Monitoring and rationalizing antibiotic usage are crucial to prevent the selection of resistant bacterial strains that pose risks to both animal and public health. Objectives: The aim of this study was to assess the structure and magnitude of antibiotic use as well as related reduction strategies, in three large-scale Hungarian swine herds, based on farm data recorded between January 2022 and June 2024. Materials and Methods: Data were collected using a digital herd health monitoring system covering monthly animal health cases and antibiotic usage. Antibiotic use was evaluated by AMEG classification, active ingredient groups, route of administration (e.g. water, feed, injection), treatment type (therapeutic vs. metaphylactic) and age group (e.g. sows, weaners, fatteners). Quantitative indicators included total mass (mg) and mg/PCU values. Results and Discussion: Antibiotic use declined during the study period, particularly in weaned pigs by 87.6% (corrected mg/PCU: from 341.70 to 42.35). The most frequent clinical problems on the examined farms were enteric and respiratory disorders as well as arthritis. Drinking water medication remained dominant (93.8%), though individual treatments increased in frequency. In 2023, a major shift occurred toward targeted therapeutic use (83.7%) over metaphylaxis (16.3%). The increased proportion of AMEG C category antibiotics and reduced use of AMEG D category substances indicate changing prescribing patterns. Regular treatment logs, vaccination protocols, sensitivity testing and the use of organic acids and probiotics may contribute to a more prudent antibiotic approach. These results confirm the importance of diagnostics-driven treatment and farm-specific interventions in AMR mitigation.
Open Access: Yes
Parametric Analysis of Metal Matrix Syntactic Foams
Publication Name: Lecture Notes in Mechanical Engineering
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: 15-33
Description:
Metal matrix syntactic foams are playing an increasingly important role in different structures. Their application is primarily aimed at weight reduction and energy absorption. The present research uses sensitivity analysis, response surface methodology, and principal component analysis to quantify the effect of matrix yield strength, matrix-to-filler ratio, ceramic sphere wall strength, and wall thickness-to-diameter ratio on the critical compressive strength of metal matrix syntactic foam. It was found that the thickness-to-diameter ratio and strength of the sphere wall are the determining factors in the evolution of the compressive strength, but the matrix strength has less effect on the output.
Open Access: Yes
Operculate land snails (Gastropoda, Caenogastropoda, Cyclophoroidea) from Padang Bindu Karst, South Sumatra, Indonesia with the description of a new species, Chamalycaeus dayangmerindu
Publication Name: Zookeys
Publication Date: 2026-01-01
Volume: Unknown
Issue: 1272
Page Range: 1-31
Description:
The study on Cyclophoroidea from Padang Bindu Karst, South Sumatra, was conducted to document the species diversity of the superfamily in the area. The samples, including leaf litter and soil samples, were collected in May–June 2021 and followed by the determination and examination on 2023 to 2024 in the Museum Zoologicum Bogoriense. In total 3,780 specimens from the superfamily Cyclophoroidea were examined. Measurements of the shell and operculum were performed using L.A.S V4. 13.0 and IMAGE J. The research revealed 11 species from three families (Cyclophoridae, Diplomatinidae, Pupinidae) and four subfamilies. Plectostoma kitteli is the most abundant species followed by Stomacosmethis cf. jagori (19.84%) and Diplommatina liwaensis (6.67%). A new species, Chamalycaeus dayangmerindu Aulia & Nurinsiyah, sp. nov. is described. The study also discovered four species endemics to Sumatra with one species among them so far only recorded from Padang Bindu karst area. These findings emphasize the region’s unique biodiversity.
Open Access: Yes
Monocular Ground Normal Prediction for the Road Ahead
Publication Name: IEEE Open Journal of Vehicular Technology
Publication Date: 2026-01-01
Volume: 7
Issue: Unknown
Page Range: 1066-1080
Description:
Robust fusion of monocular and inertial data has the potential to offer a low-cost alternative for ground surface normal prediction ahead, compared to more expensive sensors, such as LiDAR. Yet robust camera-based prediction remains challenging, particularly for steep grades and texture-poor, homogeneous road surfaces. To address these issues, we propose an enhanced monocular camera-IMU fusion pipeline incorporating a lightweight transformer-based feature matcher for improved correspondence accuracy, and robust temporal filtering, using a spherical linear interpolation (SLERP) filter, to enhance consistency and reduce drift. To enable rigorous benchmarking and reproducibility, we also standardize the evaluation protocol and release a novel dataset containing synchronized camera, LiDAR, and IMU-derived pose data, specifically captured across diverse incline and decline scenarios. Extensive continuous validation demonstrates that our method significantly improves both accuracy and temporal stability over existing approaches, setting a new state of the art for robust, continuous ground normal estimation ahead.
Open Access: Yes
Grassed Tramway Tracks and Sustainable Urban Mobility: Integrating Nature-based Solutions in City Transport Infrastructure
Publication Name: Acta Polytechnica Hungarica
Publication Date: 2026-01-01
Volume: 23
Issue: 1
Page Range: 271-286
Description:
Urban mobility is crucial to sustainable city development, bridging environmental preservation, economic advancement, and social equity. This paper investigates the potential of grassed tramway tracks (or green tracks) in contributing to sustainable urban mobility and aligning with the United Nations Sustainable Development Goals (SDGs). The study highlights the transformative potential of green tracks by analyzing ecological impact, carbon sequestration, and a comparative evaluation of ecological footprints. The findings emphasize their role in mitigating climate change, enhancing urban biodiversity, and promoting resilient infrastructure, positioning them as a critical solution for achieving sustainable urban development.
Open Access: Yes
