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Imitating Quantum Probabilities: Beyond Bell’s Theorem and Tsirelson Bounds
- Marek Czachor
- Kamil Nalikowski
2024 Pełny tekst Foundations of Science
Local hidden-variable model of singlet-state correlations discussed in M. Czachor, Acta Phys. Polon. A 139, 70, is shown to be a particular case of an infinite hierarchy of local hidden-variable models based on an infinite hierarchy of calculi. Violation of Bell-type inequalities can be interpreted as a `confusion of languages' problem, a result of mixing different but neighboring levels of the hierarchy. Mixing of non-neighboring levels results in violations beyond the Tsirelson bounds.
Immune escape of B-cell lymphoblastic leukemic cells through a lineage switch to acute myeloid leukemia
- Karolina Bełdzińska-Gądek
- Ewa Zarzycka
- Krzysztof Pastuszak
- Katarzyna Borman
- Krzysztof Lewandowski
- Jan M. Zaucha
- Witold Prejzner
2024 LEUKEMIA & LYMPHOMA
Acute leukemia (AL) with a lineage switch (LS) is associated with poor prognosis. The predisposing factors of LS are unknown, apart from KMT2A rearrangements that have been reported to be associated with LS. Herein, we present two cases and review all 104 published cases to identify risk factors for LS. Most of the patients (75.5%) experienced a switch from the lymphoid phenotype to the myeloid phenotype. Eighteen patients (17.0%) experienced a transformation from acute myelogenous leukemia (AML) to acute lymphoblastic leukemia (ALL). Forty-nine (46.2%) patients carried a KMT2A rearrangement. Most of the cases involved LS from B-cell ALL (B-ALL) to AML (59.4%), and 49 patients (46.2%) carried KMT2A-rearrangements. Forty patients (37.7%) received lineage-specific immunotherapy. Our findings suggest that the prevalence of KMT2A rearrangements together with the lineage-specific immunotherapy may trigger LS, which supports the thesis of the existence of leukemia stem cells that are capable of lymphoid or myeloid differentiation.
Impact of abiotic stressors on nutrient removal and rhizomicrobiome composition in floating treatment wetland with Equisetum hyemale
- Nicole Nawrot
- Przemysław Kowal
- Ewa Wojciechowska
- Ksenia Pazdro
- Jolanta Walkusz-miotk
- Sławomir Ciesielski
- Filip M. G. Tack
2024 Pełny tekst SCIENCE OF THE TOTAL ENVIRONMENT
Floating treatment wetlands (FTW) are receiving growing interest as a phyto-technology. However, there are significant research gaps regarding the actual role of plant species and plant-microbiome interactions. In this study, the nutrient uptake of Equisetum hyemale was examined in FTW microcosms under the influence of abiotic stressors: As (3 mg/L) and Pb (3 mg/L) as well as Cl− (300 and 800 mg/L) in reference to a control during a short screening experiment. High removal efficiency of nutrients in water solutions, up to 88 % for TN and 93 % for PO4-P, was observed. However, PO4-P removal was inhibited in the As reactor, with a maximum efficiency of only 11 %. Lead and As were removed with high efficiency, reaching 98 % and 79 % respectively. At the same time only Pb was effectively bound to root biomass, reaching up to 51 %. Limited As accumulation of 0.5 % in plant roots suggests that microbial processes play a major role in its reduction. The development and structure of microbiome in the microcosms was analysed by means of 16S rRNA gene amplicon sequencing, proving that Pb was the most influential factor in terms of selection pressure on specified bacterial groups. In the As treatment, the emergence of a Serratia subpopulation was observed, while the Cl− treatment preserved a rhizobiome composition most closely resembling the control. This study indicates that E. hyemale is a suitable species for use in FTWs treating Pb polluted water that at the same time is capable to withstand periodic increases in salinity. E. hyemale exhibits low As binding in biomass; however, extended exposure might amplify this effect because of the slow-acting, but beneficial, mechanism of As uptake by roots and shoots. Microbiome analysis complements insights into mechanisms of FTW performance and impact of stress factors on bacterial structure and functions.
Impact of high-pressure processing on the bioactive compounds of milk - A comprehensive review
- Shahida Anusha Siddiqui
- Sipper Khan
- Nur Alim Bahmid
- Andrey Ashotovich Nagdalian
- Seid Mahdi Jafari
- Roberto Castro Munoz
2024 Pełny tekst JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
High-pressure processing (HPP) is a promising alternative to thermal pasteurization. Recent studies highlighted the effectivity of HPP (400–600 MPa and exposure times of 1–5 min) in reducing pathogenic microflora for up to 5 logs. Analysis of modern scientific sources has shown that pressure affects the main components of milk including fat globules, lactose, casein micelles. The behavior of whey proteins under HPP is very important for milk and dairy products. HPP can cause significant changes in the quaternary (> 150 MPa) and tertiary (> 200 MPa) protein structures. At pressures > 400 MPa, they dissolve in the following order: αs2-casein, αs1-casein, k-casein, and β-casein. A similar trend is observed in the processing of whey proteins. HPP can affect the rate of milk fat adhering as cream with increased results at 100–250 MPa with time dependency while decreasing up to 70% at 400–600 MPa. Some studies indicated the lactose influencing casein on HP, with 10% lactose addition in case in suspension before exposing it to 400 MPa for 40 min prevents the formation of large casein micelles. Number of researches has shown that moderate pressures (up to 400 MPa) and mild heating can activate or stabilize milk enzymes. Pressures of 350–400 MPa for 100 min can boost the activity of milk enzymes by up to 140%. This comprehensive and critical review will benefit scientific researchers and industrial experts in the field of HPP treatment of milk and its effect on milk components.
Impact of information systems (IS) infusion on Open Government Data (OGD) adoption
- Ricardo Matheus
- Charalampos Harris Alexopoulos
- Nina Rizun
- Loukis Euripides
- Stuti Saxena
2024 Pełny tekst Digital Policy Regulation and Governance
Purpose – This study aims to underline the possible influence of the moderator, information systems (IS) infusion, on Open Government Data (OGD) adoption and usage. Design/methodology/approach – Using the partial least squares-structural equation modeling methodological approach, the adapted unified theory of acceptance and use of technology (UTAUT) model has been used for understanding the role of themoderating variable, namely, IS infusion. Findings – Findings show that the moderating impact of IS infusion is positively significant with respect to the performance expectancy–behavioral intention relationship thereby bolstering the impact on users’ perception of OGD vis-a-vis work/academics performance and negatively significant for social influence–behavioral intention, information quality–behavioral intention, thereby clinching the fact that with the increased engagement and involvement of OGD in the everyday life of the user, the role of significant others and information quality gets least significant. Originality/value – Extant OGD-focused research has underscored the impact of different variables as far as OGD adoption and usage is concerned; the present study seeks to add on to the extant literature by understanding the implications of IS infusion on the adapted UTAUT model constructs and behavioral intention relationships
Impact of new, navigable canal through the Vistula spit on the hydrologic balance of the Vistula lagoon (Baltic Sea)
- Roman Cieśliński
- Izabela Chlost
- Michał Szydłowski
2024 JOURNAL OF MARINE SYSTEMS
The object of research - the Vistula Lagoon is one of the two lagoons on the Polish coast, which is of great importance not only from an economic point of view, but also an environmental one. The purpose of the paper is to provide calculations on the current water balance for the Vistula Lagoon, before and after construction of a canal through the Vistula Spit. This is important because the construction of a new connection between the Vistula Lagoon and the Baltic Sea can result in changes in the lagoon's water balance, which in turn cause changes in the Vistula Lagoon biotic and abiotic environment. In addition, we wish to update the estimate of the water exchange between the Vistula Lagoon and the Baltic Sea through the Strait of Baltiysk and to estimate the exchange through the Vistula Spit canal after it is fully open. The main works consisted of researching source materials from various state institutions, which allowed to calculate the water balance of the Vistula Lagoon and perform mathematical modeling. These data include the amount of precipitation and evaporation, the amount of inflow from the catchment, the amount of inflow from polders, underground supply, the amount of inflow and outflow through the Strait of Baltiysk. The largest portion of the water received by a coastal lagoon comes from the adjacent ocean. In this case, it is about 75%. In addition, an array of catchment sources yields 20% of the studied lagoon's water. The Strait of Baltiysk constitutes the main outflow pathway for water exiting the Vistula Lagoon – close to 98% of outflow. Simulations have shown that the construction of the Nowy Swiat ship canal will not alter the water balance in the Vistula Lagoon to a meaningful extent. The problems that may emerge include those related to changes in the local biotic and abiotic environment due at the construction stage or in the period that follows resulting from the disturbance of highly polluted lagoon floor deposits. Thus it may be argued that the new canal is desirable from an economic or flood control point of view, but not from an environmental point of view.
Impact of SDN Controller’s Performance on Quality of Service
- Sylwester Kaczmarek
- Jacek Litka
2024 Pełny tekst IEEE Access
Software Defined Networking is a paradigm in network architecture; that is quickly becoming commonplace in modern telecommunication systems. It facilitates network customization for the requirements of different applications and simplifies the implementation of new services. Since its proposal, a significant evolution in its functionality has occurred. However, this development brought along problems of efficiency and performance, which are currently under research. A number of requirements has to be met, if Software Defined Networking is going to be the next step in the Next-Generation Networks progression. The central part of it – the SDN controller – has to put minimum strain on the system and provide performance which does not impede Quality of Service requirements. In this paper, the results of a research on SDN controller’s performance have been provided in the context of keeping up with flows’ QoS. For this, an emulated-physical research platform has been implemented. This research environment utilizes traffic generated accordingly to ITU-T recommendations to validate QoS parameters. The platform is given a thorough description. The results obtained from it take under consideration the implemented traffic sources, as well as the intensity of traffic handled by the controller and the traffic load of data plane links. Authors indicate that even without breaking the limitations set for delays in QoS, the impact of the controller workload is noticeable, which should be mitigated by applying appropriate resource control.
Impact of spraying commercial Bentonite Nanoclay on fortification of the mortar as Nano Sprying Technique (NST) in heritages and historical buildings
- Saeideh Jalalifar
- Hamed Niroumand
- Maryam Afsharpour
- Shadi Rajabi
- Lech Bałachowski
2024 Pełny tekst Scientific Reports
Spraying Bentonite NanoClay as an innovative idea satisfied an urgent need for conservation of historical brick constructions. This research explores the application of Nanotechnology as a Nano-Geotechnics (NaG) and Nano Ground Improvement (NGI) techniques for fortifying the mortar between bricks in historical buildings against some environmental erosive factors. Bentonite Nanoparticles were selected because of their compatibility with mortar. They were applied via Nano Spray to mitigate holes and cracks caused by erosion. Various percentages of bentonite NanoClay (2–10%) Spray and the number of times to spray on the mortar were evaluated. Validation through field emission scanning electron microscopy imaging (FESEM/SEM), X-Ray differaction and Fluorescence analyses (XRD/XRF), Inductively coupled plasma optical emission spectroscopy (ICP-OES), Brunauer–Emmett–Teller (BET), porosity tests, water absorption time measurement, and weathering tests confirmed the efficacy and long-term stability of this method. The result indicated that double spraying of a 2% NanoClay solution proved most effective in reducing porosity, declining water absorption, and enhancing resistance to freezing and rain.
Impact of the Kanban Maturity Model on a Team’s Agile Transformation: Tripling Throughput and Elevating Quality in Three Months
- Jacek Trzesicki
- Krzysztof Marek
- Adam Przybyłek
2024
Agile transformations have been a significant challenge since the beginning of the agile movement, with numerous researchers and practitioners suggesting various structured approaches and guidelines. The Kanban Maturity Model (KMM) is a relatively new approach that focuses on assessing the current maturity level of an organisation, with an emphasis on a spectrum of Kanban practices. This paper presents the initial results of applying the KMM as a guide for subsequent steps in Kanban implementation and agile transformation. The exploratory case study describes the application of the KMM in the agile transformation of a software development team within a midsize organisation. Despite previous unsuccessful attempts to implement Scrum, the adoption of KMM facilitated a rapid and successful implementation of the Kanban Method. Within three months, the team’s throughput tripled, and the quality of the developed software improved significantly. The results suggest that the KMM can be successfully used as an effective guideline for agile transformation of software development teams.
Impact of trajectory simplification methods on modeling carbon dioxide emissions from ships
- Tadeusz Balcer
- Rafał Szłapczyński
- Thomas Mestl
2024 OCEAN ENGINEERING
Models of ship fuel consumption and emissions play an essential role in estimating global shipping’s greenhouse gas emissions. They are also widely used for verification of reported CO2 emissions for systems like EU MRV (Monitoring, Reporting and Verification) or IMO DCS (Data Collection System). Such models achieve high accuracy using historical spatiotemporal information about each ship from AIS data. However, this approach requires substantial computing capacity. To reduce the computational load, trajectory simplification algorithms are frequently applied. In this work, we evaluate their impact on CO2 estimations by comparing various trajectory simplification methods, including Fixed Time Downsampling, Douglas-Peucker, Top-Down Time Ratio and Optimized Equivalent Passage Plan. Through simulation and a random selection of real ship trajectories we demonstrate that by choosing the right method both, the amount of data as well the computation time can be significantly reduced while maintaining acceptable estimations of CO2 emissions.
Impact of Visual Image Quality on Lymphocyte Detection Using YOLOv5 and RetinaNet Algorithms
- Agata Polejowska
- Milena Sobotka
- Michał Kalinowski
- Marcin Kordowski
- Tomasz Neumann
2024
Lymphocytes, a type of leukocytes, play a vital role in the immune system. The precise quantification, spatial arrangement and phenotypic characterization of lymphocytes within haematological or histopathological images can serve as a diagnostic indicator of a particular lesion. Artificial neural networks, employed for the detection of lymphocytes, not only can provide support to the work of histopathologists but also enable better disease monitoring and faster analysis of the general immune system condition. In this study, the impact of visual quality on the performance of state-of-the-art algorithms for detecting lymphocytes in medical images was examined. Two datasets were used, and image modifications such as blur, sharpness, brightness, and contrast were applied to assess the performance of YOLOv5 and RetinaNet models. The study revealed that the visual quality of images exerts a substantial impact on the effectiveness of the deep learning methods in detecting lymphocytes accurately. These findings have significant implications for deep learning approaches used in digital pathology.
Impact of Work from Home on Agile Software Project Execution – the Empirical Study
- Jakub Chabik
2024
Background: The outbreak of a Covid-19 pandemic changed the working patterns of software projects delivery. Aim: The study examines how the work from home (WFH) impacted the software project execution for emergence of differentiating patterns. Method: The data on project execution in two country locations was examined. The population is 3711 projects across 52 months (26 pre- and 26 post-pandemic) is analyzed. The paper identifies the changed patterns of execution. Results: WFH resulted in a more frequent reporting of the project status, significantly higher granularity of reporting, small changes in the statuses reported and significant changes in the duration of a project in a given status. Conclusion: The study concludes that the WFH have had overall positive impact on the software project execution, but notices that it was achieved with increase in reporting frequency and granularity. Keywords:software engineering, project management, empirical study, data-driven software engineering.
Impacts of Using Exhaust Gas Recirculation and Various Amount of Dimethyl Ether Premixed Ratios on Combustion and Emissions on a Dual-Fuel Compression Ignition Engine
- Denys Stepanenko
- Jacek Rudnicki
- Zbigniew Kneba
2024 Pełny tekst Advances in Science and Technology Research Journal
In the presented research, the authors dealt with the specific properties of the combustion process of dimethyl ether (DME) in a combustion car (Volkswagen Golf IV) engine AJM 1.9 TDI PDE made by Volkswagen factory. Dimethyl ether is an alternative fuel produced most often from natural gas, which can be used in compression ignition engines as a single fuel or co-burned with diesel oil. This work describes the impacts of using exhaust gas recirculation (EGR) system and various diesel to DME substitution ratios from 0% to approximately 25% (on an energy basis), on the combustion process in a dual-fuel diesel engine. The engine has been modified so that DME fuel is introduced into the intake manifold just before the intake valves. The diesel fuel supply system, operation algorithms of the engine electronic control unit and other engine elements were left unchanged as it was built by the manufacturer.
Implementing fermentation technology for comprehensive valorisation of seafood processing by-products: A critical review on recovering valuable nutrients and enhancing utilisation
- Shahida Anusha Siddiqui
- Dhanya Lakshmikanth
- Chiranjiv Pradhan
- Zahra Farajinejad
- Roberto Castro Munoz
- Abhilash Sasidharan
2024 Pełny tekst CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
Fermentation technology is a biorefining tool that has been used in various industrial processes to recover valuable nutrients from different side streams. One promising application of this technique is in the reclamation of nutritional components from seafood side streams. Seafood processing generates significant amounts of waste, including heads, shells, and other side streams. These side streams contain high quantities of valued nutritional components that can be extracted using fermentation technology. The fermentation technology engages the application of microorganisms to convert the side stream into valuable products like biofuels, enzymes, and animal feed. Natural polymers such as chitin and chitosan have various purposes in the food, medicinal, and agricultural industry. Another example is the fish protein hydrolysates (FPH) from seafood side streams. FPHs are protein-rich powders which could be used in animal nutrition and nutraceutical industry. The resulting hydrolysate is further filtered and dried resulting in a FPH powder. Fermentation technology holds great possibility in the recovery of valuable nutrients from seafood side streams. The process can help reduce waste and generate new value-added products from what would otherwise be considered a waste product. With further research and development, fermentation technology can become a key tool in the biorefining industry.
Importance of artificial intelligence to support the process of anaerobicdigestion of kitchen waste with bioplastics / Znaczenie sztucznej inteligencji we wspomaganiu procesu beztlenowej fermentacji odpadów kuchennych zawierających bioplastiki
- Ryszard Arendt
- Andrzej Kopczyński
- Jan Hupka
- Aleksandra Grabowiec
2024 Przemysł Chemiczny
Artificial intelligence (AI) and machine learning were used to obtain more effective methods for conducting the digestion process and achieving final products. Data acquisition was carried out by an automatic monitoring and anal. research. The knowledge describing the anaerobic digestion process was summarized in the form of rules: IF (premise) THEN (conclusion). The compiled set of rules created a knowledge base of the expert system, which was used to run the anaerobic digestion process and provided instructions to the operator. Knowledge rules were updated and developed during the process. The construction of a mobile laboratory system for the anaerobic digestion of kitchen and food waste, the tech. devices, the structure of the AI system, and selected knowledge rules were presented.
Importance of sign conventions on analytical solutions to the wave-induced cyclic response of a poro-elastic seabed
- Waldemar Magda
2024 Pełny tekst Archives of Civil Engineering
This paper discusses the influence of different sign conventions for strains and stresses, i.e. the solid mechanics sign convention and the soil mechanics sign convention, on the form of governing partial differential equations (the static equilibrium equations and the continuity equation) used to describe the wave-induced cyclic response of a poro-elastic seabed due to propagation of a sinusoidal surface water-wave. Some selected analytical solutions, obtained by different authors and published in specialist literature in the form of complex functions describing the wave-induced pore-fluid pressure, effective normal stress and shear stress oscillations in the seabed, have been analysed and compared with each other mainly with respect to different sign conventions for stains and stresses and also with regard to different orientations of the positive vertical axis of the two-dimensional coordinate system and different directions of surface water-wave propagation. The performed analyses of the analytical solutions has indicated many inaccuracies, or even evident errors and exemplary mistakes of wrong-signed values of basic wave-induced response parameters (the shear stress in particular), thereby disqualifying these solutions and their final equations from practical engineering applications. Most of the mistakes found in the literature must be linked to authors’ lack of understanding and consistency in an uniform application of a certain sign convention for strains and stresses in the soil matrix at both stages of mathematical formulation of the governing problem and correct interpretation of equations of the final analytical solution. The present paper, based mostly on a thorough literature review, ought to draw attention and arouse interest among coastal scientists and engineers in proper identification and use of the existing analytical solutions to the wave-induced cyclic seabed response – solutions which differ very often in the applied sign convention for stresses in the soil matrix.
Improved Bandwidth of Microstrip Wide-Slot Antenna Using Gielis Curves
- Davood Zarifi
- Ali Farahbakhsh
- Michał Mrozowski
2024 IEEE Access
The development of a broadband printed wide-slot antenna based on Gielis curves is presented in this article. The printed wide-slot antenna can be conveniently reshaped to achieve ultra-wideband performance by using superformula. The distinct advantage of employing the superformula in design of wide-slot antenna lies in its ability to define nearly any geometric shape including non-standard, complex and non-intuitive for the wide-slot and by finely tuning just six parameters. To demonstrate the capabilities of the proposed approach, a simple prototype is fabricated and tested. The satisfactory correspondence between the measurement and the simulation results confirms the effectiveness of the antenna being proposed. The experimental findings reveal that the antenna’s impedance bandwidth, where the VSWR is less than 2, spans from 2 to 13.9 GHz, encompassing a range that is 150% wide. Furthermore, the antenna demonstrates a realized gain ranging between 3.8 to 6.4 dBi within its operational frequency spectrum. These results indicate that the antenna exhibits the efficiency and functionality required for application in wideband communication systems
Improved Efficacy Behavioral Modeling of Microwave Circuits through Dimensionality Reduction and Fast Global Sensitivity Analysis
- Sławomir Kozieł
- Anna Pietrenko-Dąbrowska
- Leifur Leifsson
2024 Pełny tekst Scientific Reports
Behavioral models have garnered significant interest in the realm of high-frequency electronics. Their primary function is to substitute costly computational tools, notably electromagnetic (EM) analysis, for repetitive evaluations of the structure under consideration. These evaluations are often necessary for tasks like parameter tuning, statistical analysis, or multi-criterial design. However, constructing reliable surrogate models faces several challenges, including the nonlinearity of circuit characteristics and the vast size of the parameter space, encompassing both dimensionality and design variable ranges. Additionally, ensuring the validity of the model across broad geometry/material parameter and frequency ranges is crucial for its utility in design. The purpose of this paper is to introduce an innovative approach to cost-effective and dependable behavioral modeling of microwave passives. Central to our method is a fast global sensitivity analysis (FGSA) procedure, which is devised to identify correlations between design parameters and quantify their impacts on circuit characteristics. The most significant directions identified through FGSA are utilized to establish a reduced-dimensionality domain. Within this domain, the model may be constructed using a limited amount of data samples while capturing a significant portion of the circuit response variability, rendering it suitable for design purposes. The outstanding predictive capability of the proposed model, its superiority over traditional techniques, and its readiness for design applications are demonstrated through the analysis of three microstrip circuits of diverse characteristics.
Improved maximum power point tracking algorithms by using numerical analysis techniques for photovoltaic systems
- Lyu Guanghua
- Syed M. Hussain
- Arsalan Muhammad Soomar
- Shoaib Shaikh
- Syed Hadi Hussain Shah
2024 Pełny tekst Results in Engineering
Solar photovoltaic (PV) panels generate optimal electricity when operating at the maximum power point (MPP). This study introduces a novel MPP tracking algorithm that leverages the numerical prowess of the predictor-corrector method, tailored to accommodate voltage and current fluctuations in PV panels resulting from variable environmental factors like solar irradiation and temperature. This paper delves into the intricate dynamics of solar panels, presenting a comprehensive mathematical model capturing the interdependencies between current, voltage, power, solar irradiation, and temperature. Existing numerical MPPT techniques are explored to provide their advantages and disadvantages. The proposed algorithm, formulated in MATLAB, encapsulates essential solar panel variables and undergoes rigorous dynamic testing in the Simulink® environment under diverse solar irradiation and temperature scenarios. These results are visually represented through graphs and tabulations. A subsequent section offers a simulation-driven comparative review of the proposed algorithm against established methodologies. The article culminates with conclusions drawn from the empirical findings and outlines promising avenues for future research.
Improving Output Performance of the Ultrasonic Multicell Piezoelectric Motor by Development the Multi-Rotor Structure
- Roland Ryndzionek
2024 Pełny tekst IEEE Access
In recent years, many researches have been carried out on piezoelectric multi-rotor structures. This paper describes the analysis, development and experimental process of an ultrasonic multi-cell piezoelectric motor using a multi-rotor structure. In this design, three independent cells have been integrated into a mechatronic system. Analytical model and finite element method are used for modal and dynamic analysis of the proposed motor. The multicell motor prototype has been manufactured and tested in the laboratory. Finally, the results of analytical, simulations and experimental investigation have been compared. The compared results are in satisfactory agreement. The measured parameters were: resonance frequency characteristics, mechanical characteristics of the single actuator and the complete assembled motor. The maximum speed and load of the motor have been determined. The maximum speed of 512 rpm was obtained with a voltage of 86 Vrms and the maximum stall torque was 120 mNm. Finally, the multi-rotor structure was compared with other rotary ultrasonic structures.