bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reducing the risk of power equipment failure when using information from information measurement system of vibration diagnosis rotating units of auxiliary engines of power plant
Authors: Zvaritch V M , Gyzhko Y I 
Published: December 2024

Abstract
Sustained operation of critical infrastructure facilities is an extremely important problem. Power Stations are among these facilities. The reliability of Power Station equipment is closely linked to the effective monitoring and diagnostic systems they are equipped. Such systems are constructed in several stages. Good prioritization is an effective way to address security and risk management issues. It aims to maximize the benefits of available resources by focusing on the most important issues and thereby minimizing inherent security risks. Such decisions may be influenced by an inaccurate interpretation of the system state caused by a forced consensus of judgements on an adverse event. In practice, the process of risk management and assessment involves several technical and organizational factors, not just indicators of the severity of an adverse event. The paradigm of risk analysis in the energy sector is clearly related to the risk paradigm that exists in the development of cybersecurity systems. Such decisions may be influenced by an inaccurate interpretation of the system state caused by a forced consensus of judgements on an adverse event. The paper considers the peculiarities of constructing wireless elements of a multilevel diagnostic system for power plant auxiliary motors and the methodology for assessing the auxiliary motor resistance and their impact on the power plant operation.
The issues of technological modeling of physicochemical iron removal from deep groundwater at the rapid filter
Authors: Poliakov V L , Martynov S Y 
Published: December 2024

Abstract
An exact solution to the task of physicochemical iron removal from natural water containing excess iron ferric form at the rapid filters is presented in the article. The principles of applied optimization of filters for iron removal are formulated based on technical and economic calculations. Three filter control algorithms are described and technological modeling of its operation is performed throughout the service life of the filter medium when implementing a regular algorithm. The impact of the main design parameter on the economic indicators and, first of all, the reduced costs is analyzed. The possibility of minimizing the cost of water treatment through a reasonable choice of the packed bed height has been demonstrated.
Concept of synthesis of the digital twin of the rock massif based on the stability criterion
Authors: Shchokin V , Shchokina O , Aniskov O 
Published: December 2024

Abstract
The proposed concept of synthesizing the digital twin of a rock massif is based on the application of a developed method for determining stability coefficients. This method involves measuring the intensity of electromagnetic pulse (EMP) in rock formations and application of Intelligent AutoRegressive Moving Average with Bumpiness and Sparsity regularization (ARMABiS) system. ARMABiS is a modification of the Wang-Mendel fuzzy neural network designed for field processing of primary information regarding the transient process of EMP intensity before, during, and after a mass explosion in a quarry. The reconstruction of the spatial field of stability criteria for the rock massif along the quarry perimeter is also considered. The uniqueness of the method lies in the prior determination of the frequency range corresponding to the specified depth of the rock massif to assess the stability reserve coefficient. Explosions during rock blasting are used as an external influence on the massif. The method involves measuring the parameters of the transient process through electromagnetic pulse impulses during mass explosions and until the restoration of the background EMP level. The stability reserve coefficient of the massif is determined by a formula that considers the internal friction angle of rock formations, the maximum value of EMP induced by the explosion, and the duration of damping to the background EMP level
About the methodology to improve concept of maximum security of nuclear facility at minimum costs
Authors: Diviziniuk M M , Farrakhov O V , Zinovieva I S , Kutsenko V O , Shevchuk R 
Published: December 2024

Abstract
Given work describe proposals concerning Pampuro method use for improvement of the maximum security concept of nuclear facility at minimum costs. The main provisions of the maximum security concept ensuring for nuclear facility at minimum cost are analyzed. The meaning of the terms threat and risk in relation to critical infrastructure objects is considered. One of the directions for optimal management concept implementing of protected critical infrastructure object using the Pampuro method is proposed. The mathematical model was developed to ensure security of protected nuclear facility at minimum of costs. It takes into account different intensities of terrorist influence. It was concluded that software implementation of the developed mathematical apparatus can be used as a unified software product by security services or physical protection services of various protected objects.
Features of designing systems for the formation of an internal microclimate of a high class of cleanliness of operating rooms of medical institutions
Authors: Lobanchykova N M , Vakaliuk T A , Korbut V P , Lobanchykov S M , Krasnov Y B 
Published: December 2024

Abstract
This publication is devoted to the study of the peculiarities of designing systems for forming an internal microclimate of a high cleanliness class in the operating rooms of medical institutions. The article presents an analysis of the requirements for microclimate hygiene and air environment of operating rooms of medical institutions, cleanliness classes of premises to be implemented with permissible air components and microclimate parameters for operating rooms of medical institutions, analysis of methods of microclimate regulation, analysis of the features of the construction of ventilation and air conditioning systems of high cleanliness class; analysis of air preparation systems for premises. The article identifies the features of ventilation and air conditioning systems and substantiates the need to use multi-stage filtration; installation of air conditioners with air recirculation and central air conditioning for fresh air preparation; creation of overpressure about neighbouring rooms; use of CAV and VAV systems to regulate airflow parameters and provide overpressure. Conceptual design solutions are presented, and typical block diagrams for the formation of an internal microclimate of a high class of cleanliness in operating rooms in a medical institution are developed, which can be used as standard ones in the development of design solutions. The necessity of developing an automation system is substantiated. A typical structural diagram of an automated air conditioning control system has been developed and substantiated. A generalising algorithm for subsystem functioning has been developed, which can be widely used in the design and construction of such systems.
Gypsum recycling using an inclined chamber vibrating jaw crusher
Authors: Fedoskina O V , Yu Svietkina O , Ziborov K A , Yerisov M M , Fedoskin V O 
Published: December 2024

Abstract
The construction of new buildings and the demolition of obsolete and war-damaged buildings generate hundreds of thousands of tonnes of drywall waste. Gypsum waste, harmless in an isolated state, when thrown into a landfill causes environmental problems by polluting groundwater, emitting hydrogen sulphide and greenhouse gases. The solution of such an urgent problem, coinciding with the purpose of this work, is possible through the development of effective technological schemes and equipment for processing waste into secondary raw materials. The research on the selection of the lining plate of the jaws of the vibratory jaw crusher has been carried out on the impact bench. The dependence of effective destruction of gypsum layer of drywall on the profile of lining plates is shown. Drywall was crushed in a laboratory crusher. The innovative technological process allowed to separate the initial composite material into three constituent parts converted into secondary raw materials. The obtained results substantiate the feasibility of processing drywall waste in a vibratory jaw crusher at the place of its formation and obtaining at the same time marketable products, reducing transport costs, improving the environment and preserving mineral resources.
Prospects of the recycling of metallurgical waste
Authors: Maslak O I , Ye Hryshko N , Hlazunova O O , Maslak M V , Yu Yakovenko Ya , Savielova A D 
Published: December 2024

Abstract
The article focuses on the peculiarities of waste management of the mining and metallurgical complex. As a result of growing environmental awareness, iron and steel slag is highly valued as a recycled material that can reduce environmental impact due to its resource conservation and energy conservation. The key factors contributing to increasing the attractiveness of investments in the processing of metallurgical waste are: 1. limitation of supplies of primary metal in case of expected growth of demand in the conditions of energy transition; 2. carbon emissions: steel and aluminum together account for almost 10 percent of global emissions, in turn secondary aluminum production creates 5-25 times less carbon emissions; 3. geopolitical instability and dependence on imports from China increase the need to increase the security of supply of primary metals. One of the promising directions of reuse of metals is the production of building materials. Slag is an improved and more ecological alternative to traditional building materials. It can be used in various applications such as filler for concrete and asphalt mixtures, railway ballast, cement, etc. It has been established that the use of slag cement not only provides high-quality concrete, but also prevents global warming, contributes to the conservation of natural resources and minimizes pollution in landfills.
Radioecological monitoring as a key factor in food quality management
Authors: Iatsyshyn Andrii V , Kovach V O , Lahoiko A M , Gurieiev V O , Humeniuk A A , Semenets-Orlova I A , Shevchuk R 
Published: December 2024

Abstract
The effective functioning of radioecological monitoring of food is a crucial task for all countries worldwide as it directly impacts public health. This article confidently describes the migration of radiocesium (Cs) in the environment and its pathways into the human body. The article analyses the data of radionuclide content in food products across France, Spain, Great Britain, Germany, China, and Ukraine. This text confidently compares the regulatory frameworks for food quality management and radioecological monitoring in the mentioned countries. It also provides clear and decisive recommendations for visualising the obtained information on a public portal for scientific research, public awareness, and general use.
Natural phytomelioration of coal mine waste heaps in the context of increased radiation background (on the case of Nadiya mine, Lviv-Volyn coal basin, Ukraine)
Authors: Voloshchyshyn A I , Bosak P V , Popovych V V , Menshykova O V , Kopystynskyi Yu O 
Published: December 2024

Abstract
At the United Nations Climate Change Conference (COP26) in Glasgow in autumn 2021, world leaders and participants decided to phase out coal power. Ukraine is committed to shutting down its state-owned coal-fired power plants by 2035. Natural and technical geosystems in coal mining areas have a significant impact on environmental and anthropogenic environmental safety and require comprehensive research This scientific article delves into the thorough examination of the impact of augmented radiation levels in the waste piles of the Nadiya mine in the Lviv-Volyn coal basin. The exploitation of the Lviv-Volyn coal basin has led to many negative changes in the flora and fauna, atmosphere, hydrosphere and biosphere, and has significantly affected the life and health of the Ukrainian population. The Nadiya mine waste heaps are located on the outskirts of the town of Sosnivka, Chervonohrad district, Lviv region (Ukraine) on fluvioglacial sands, partially on alluvial sediments of the Western Bug River. The height of the waste heaps is over 42 m and the area is 12 hectares. The spoil heap is bounded by woody vegetation on both sides and agricultural land on the other. The spoil heap is composed of burnt and unburnt rocks with sulfuric acid zones on the burnt pieces. Spontaneous combustion is observed on the spoil heap, in particular at the top, where the radiation background was investigated. The radiation power at the top of the spoil heap was found to be significantly higher than in other areas. The investigations of the radiation background of the Nadiia mine spoil heap showed the equivalent dose rate at the top of the heap, which is 0.42 μSv/h, exceeding the permissible standards of 0.3 μSv/h. It should be noted that the excess radiation background is due to the combustion of rock.
Multi-slice electron ptychographic tomography for three-dimensional phase-contrast microscopy beyond the depth of focus limits
Authors: Romanov Andrey , Cho Min Gee , Scott Mary Cooper , Pelz Philipp 
Published: December 2024

Abstract
Electron ptychography is a powerful computational method for atomic-resolution imaging with high contrast for weakly and strongly scattering elements. Modern algorithms coupled with fast and efficient detectors allow imaging specimens with tens of nanometers thicknesses with sub-0.5 Ångstrom lateral resolution. However, the axial resolution in these approaches is currently limited to a few nanometers, limiting their ability to solve novel atomic structures ab initio. Here, we experimentally demonstrate multi-slice ptychographic electron tomography, which allows atomic resolution three-dimensional phase-contrast imaging in a volume surpassing the depth of field limits. We reconstruct tilt-series 4D-STEM measurements of a

Co
3

O
4

nanocube, yielding 2 Å axial and 0.7 Å transverse resolution in a reconstructed volume of

(
18.2

nm

)
3

. Our results demonstrate a 13.5-fold improvement in axial resolution compared to multi-slice ptychography while retaining the atomic lateral resolution and the capability to image volumes beyond the depth of field limit. Multi-slice ptychographic electron tomography significantly expands the volume of materials accessible using high-resolution electron microscopy. We discuss further experimental and algorithmic improvements necessary to also resolve single weakly scattering atoms in 3D.
Theoretical investigation of cycling stability in TiS2 anode for zinc-ion rechargeable batteries
Authors: Atthapak Chayanon , Jampaiboon Natthapong , Sukmas Wiwittawin , Alling Björn , Bovornratanaraks Thiti , Ektarawong Annop 
Published: December 2024

Abstract
To advance the development of aqueous zinc-ion batteries (ZIBs), which are considered a promising alternative for sustainable energy storage, it is a crucial step to explore zinc-free metal anodes to prevent zinc-dendrite formation. Titanium disulfide (TiS2) has emerged as a potential anode material for ZIBs, due to its sizeable interlayer spacing and favorable electrochemical properties. However, its stability during battery cycles must be thoroughly investigated to assess its feasibility from a theoretical perspective. Herein, the first-principles calculations are performed to theoretically investigate the stability during the cycles of zinc-intercalated TiS2 (Zn
x
TiS2). Despite its formation energies lying above the thermodynamic convex hull, Zn
x
TiS2 demonstrates robust mechanical and dynamical stabilities over the entire range of zinc-ion intercalation, suggesting its ability to maintain structural integrity under cycling conditions of ZIBs. Our evaluation of structural, elastic, electrochemical, and electronic properties reveals significant changes during the zinc-ion intercalated process, such as the reduction of the open-circuit voltage and changes in the interlayer spacing. These findings indicate that while TiS2 shows promise as an anode material from a theoretical aspect, addressing the irreversible structural changes observed experimentally is essential. Our insights into the mechanism of zinc-ion intercalation in TiS2 provide valuable guidance for future design and optimization of zinc-free metal anodes.
Comprehensive numerical characterization of the piezoresistivity of carbon nanotube polymer nanocomposites
Authors: Elaskalany Mostafa , Behdinan Kamran 
Published: December 2024

Abstract
Polymer nanocomposites reinforced with carbon nanotubes (CNTs) are promising materials for applications in flexible sensors and self-sensing structures due to their enhanced mechanical and electrical properties. This study investigates the piezoresistive behavior of CNT/polymer nanocomposites to establish structure-property relationships addressing the limitations in modeling of the piezoresistivity under varying mechanical strains. Monte Carlo simulations were employed to account for uncertainties in the microstructure of the nanocomposite by randomly dispersing CNTs within the representative volume element. The fiber reorientation model was used to simulate the mechanical deformation effects on CNT kinematics, while the Landauer–Büttiker formula was used to calculate the tunneling resistance between CNTs. The developed model was validated against experimental data to ensure its reliability. The study systematically analyzed the impact of key parameters, including CNT aspect ratio, polymer energy barrier height, Poisson’s ratio, CNT volume fraction, intrinsic CNT conductivity, and the number of CNT conduction channels, on the piezoresistive sensitivity under both tension and compression. One key finding is the contrasting effect of parameters like polymer energy barrier height and CNT intrinsic conductivity under tensile versus compression loadings. Piezoresistivity increases with higher values of energy barrier heights and CNT conductivity under tensile strain but decreases under compression. This comprehensive characterization enhances the design and optimization of CNT/polymer nanocomposites guiding future developments in smart materials and sensing technologies.
Multimodal biometric authentication: a novel deep learning framework integrating ECG, fingerprint, and finger knuckle print for high-security applications
Authors: U Sumalatha , K Krishna Prakasha , Prabhu Srikanth , Nayak Vinod C 
Published: December 2024

Abstract
Multimodal biometric systems represent a significant advancement in biometric authentication technology by integrating multiple modalities to enhance accuracy and security. Our proposed system combines electrocardiogram (ECG), fingerprint, and finger knuckle print (FKP) modalities to achieve improved authentication performance, especially suited for high-security applications. The system first uses ECG for liveness detection, ensuring that only genuine users proceed, followed by fingerprint and FKP for authentication. Three individual Siamese Neural Networks were developed, each optimized to extract distinct features from each modality. Data quality was enhanced using preprocessing methods such as noise reduction and normalization, along with data augmentation strategies to improve model robustness. The system was evaluated using a balanced dataset of 50 samples per biometric modality. Individual average accuracies reached 99.54% for ECG, and 100% for both fingerprint and FKP considering 90 subjects. Using weighted average score-level fusion with a priority on fingerprint and FKP, the system achieved an overall accuracy of 99.80%, with a False Acceptance Rate (FAR) of 0.20%, False Rejection Rate (FRR) of 0.21%, Equal Error Rate (EER) of 0.20%, and an F1-Score of 99.80%. These results demonstrate the system's resilience to spoofing and robustness against data variability, offering a highly secure authentication solution with practical applicability in cloud-based high-security environments, such as banking and healthcare.
An efficient deep learning model for paddy growth stage classification using neural network pruning on UAV images
Authors: Ramachandran Anitha , Kumar K S Sendhil 
Published: December 2024

Abstract
Crop phenology has a vital role in sustainable agriculture, facilitating farmers to make informed decisions throughout the crop-growing season. The traditional method of phenological detection relies on vegetation index calculations and time-series data, which can be extremely costly and difficult to obtain. In contrast, deep learning algorithms can estimate phenological stages directly from images, overcoming Vegetative Index (VI)-based limitations. Unmanned Aerial Vehicles (UAVs) offer high spatial and temporal resolution images at low cost, making them suitable for frequent field monitoring. This study focuses on the classification of rice seedling growth stages using deep learning techniques from images captured by UAVs. The proposed PaddyTrimNet model incorporates neural network pruning to classify paddy growth stages efficiently based on the BBCH (Biologische Bundesanstalt, Bundessortenamt und Chemische Industrie) scale. It focuses on the BBCH11, BBCH12, and BBCH13 using UAV images. PaddyTrimNet is an architecture based on ResNet50 modified specifically to classify rice development stages, incorporating separable convolutional layers to reduce parameters. The model is pruned using the Layer-wise Relevance Propagation method to enhance efficiency without compromising performance. It has demonstrated superior performance in paddy growth stage classification, achieving an accuracy of 96.97% while utilizing only 48.18 MFLOPS. It surpasses the existing pretrained deep learning classification models in terms of both accuracy and computational efficiency. This study contributes to precision agriculture and sustainable farming practices by leveraging deep learning and UAV imagery.
Tool condition monitoring using I-kaz enhanced kernel extreme learning machine
Authors: Gao Chen , Nuawi Mohd Zaki , Wang Jicai 
Published: December 2024

Abstract
In order to improve the accuracy of tool condition monitoring (TCM) in milling, an I-kaz enhanced Kernel Extreme learning Machine (I-kaz_KELM) method is proposed by combining the KELM and I-kaz statistical algorithm. It uses the I-kaz angle function to replace the conventional kernel function to avoid the selection of kernel function and the pre-set of its parameters. A two-layer network model of the I-kaz_KELM is constructed to improve the KELM in feature learning of complex non-linear high-dimensional. Research and analysis of two milling TCM public benchmark datasets (PHM 2010 TCM dataset and NASA TCM dataset) confirmed that the monitoring accuracy of the proposed method is better than SVM and KELM under limited samples. The RESM of the proposed method is reduced by at least 10% compared to the other two methods, and the RESM fluctuation amplitudes of the proposed method with model parameters is reduced by 35%–95% than that of the two other methods. It can be demonstrated that the proposed method can significantly improve learning performance without significantly affecting the learning speed, and has stronger robustness due to reduced sensitivity to the model parameter to be optimized.