bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrospark method of obtaining metal nanoparticles for the creation of antifungal drugs (fungicides)
Authors: Lopatko K G , Zazymko O V , Vynarchuk K V , Nazarenko V A , Tugay A V 
Published: December 2024

Abstract
The research is based on the processes of studying electrospark underwater synthesis of conductive metals in a reaction chamber with low conductivity for the production of metal nanoparticles. Experiment had been carried out using confirmation of silver and copper nanoparticles by electron microscopy. The use of nanoforms of metals, in particular nanosuspensions, is considered as an alternative to acutely toxic chemical preparations in crop production for the protection of field crops. Strains of microorganisms – causative agents of diseases of grain crops were used as objects of research. The ultrafine metal phase of metal nanoparticles (particulate nature of matter – PNM) is considered as an alternative to existing agrochemicals based on metal salts. The obtained colloidal solutions of metals have fungicidal properties and can be used to create plant protection products.
Comprehensive approach to calculating operational parameters in hydraulic fracturing
Authors: Pashchenko O A , Khomenko V L , Ratov B T , Koroviaka Ye A , Rastsvietaiev V O 
Published: December 2024

Abstract
Hydraulic fracturing (HF) stands as a pivotal method in the development of challenging hydrocarbon reserves, particularly those associated with low-permeability and fractured reservoirs. As these reserves constitute approximately one-third of global hydrocarbon resources, HF has emerged as an indispensable technology for their extraction. The creation of high-conductivity fractures through HF has demonstrated a remarkable capacity to amplify well flow rates, often achieving two to threefold or greater increases. This study seeks to establish robust scientific and methodological foundations for the calculation of operational parameters in HF by synthesizing insights from theoretical research. Emphasizing a comprehensive design approach, the methodology underscores the pivotal role of dynamic parameters such as fluid type, proppant characteristics, and injection rate in optimizing the efficiency of HF operations. To enhance efficiency, an automated algorithm is proposed for the judicious selection of proppants, facilitating expedited calculations and optimization processes. The proposed approach not only streamlines the parameter selection process but also ensures the implementation of the most effective HF scenarios. Additionally, it serves as a foundational framework for the development of automated tools for HF calculations in field applications, thereby advancing the field of hydrocarbon reservoir development.
Geoinformation modeling of the geoecological state of the floodplain-channel complex of rivers on the territory of the Turka city community of the Lviv Region
Authors: Kovalchuk I P , Kurhanevych L P , Andreychuk Yu M , Blazhivskyi O Y , Vanyo N O 
Published: December 2024

Abstract
The Water Strategy of Ukraine for the period up to 2050 [1] identified the main areas for improving water resources management through the creation of automated information systems for eight river basin districts. Conducting geoecological studies using GIS technologies to assess the state of river-basin systems at the level of an individual community in order to optimize water use and water protection is an urgent scientific task. The creation of geographic information models and the formation of the database took place in the environment of software packages: Google Earth Pro, SAGA, QGIS 3.28 Firenze and ArcGIS 10.8. To assess the geoecological state of the floodplain-channel complex of rivers within the territory of the Turka territorial community (TC), the methodology of Khimko et al. [2, 3] was chosen, which is modified in accordance with the purpose of the research and specific water bodies. The created geoinformation models of the gynaecological state of the floodplain-channel complex of rivers indicate the need to make effective management decisions to optimize the use of natural resources within the basin and floodplain-channel systems and control over the use and protection of water.
Trends in variability of the distribution of particulate organic carbon in the north-western part of the Black Sea
Authors: Sryberko A V , Petrushenko M M , Stepanova Yu V 
Published: December 2024

Abstract
The paper describes the results of a study of the variability in the distribution of particulate organic carbon (POC) concentrations in the north-western part of the Black Sea. The initial data for the calculations were satellite data on the concentration of particulate organic carbon particles. In the process of research, such tasks as the formation of relevant POC databases, built maps of the spatial distribution of POC in the north-western part of the Black Sea in different seasons, the analysis of the intra-annual and inter-annual distribution of POC, and the identification of trends were solved. It was established that the concentration of POC in the north-western part of the Black Sea has a seasonal character with an annual periodicity, with the cyclonic movement of POC along the coast. The maximum concentration of POCs is generally concentrated in wetlands of international importance, indicating that they perform much broader ecosystem functions than filtering and purifying water. These wetlands store blue carbon, occupying a certain link in the marine carbon cycle. This confirms the important role of these coastal ecosystems within the transition of the blue economy of the studied area to sustainable development, namely increasing the contribution to solving climate and biodiversity problems, in accordance with the SDGs: Goal 13 – Climate action, Goal 14 – Life below water, Goal 15 – Life on land. Insufficient consideration of this role in the relevant decisions, in particular according to the Ramsar Convention on Wetlands, will lead not only to a decrease in biodiversity, but also to a deterioration of the climate within the territory of the Northern Black Sea.
Variable-structure controller design for electric drives with variable-torque load
Authors: Voliansky R , Zaliskyi M , Ostroumov I , Averyanova Y , Holubnychyi O , Sushchenko O , Znakovska Y , Pogurelsky O 
Published: December 2024

Abstract
The paper is devoted to the design of a framework to study uncertain nonlinear dynamical plants. We use the results of this study to design a variable-structure control system for the considered plants. Our studies are based on the use of interval methods to take into account possible plant parameters variations and perform a piecewise linear approximation of the plant’s nonlinearity. We offer to replace a nonlinear function, which is used to define a plant’s dynamic with a phase space domain where this function is localized. This allows us to rewrite the initial nonlinear differential equation into piecewise linear form and apply the Laplace-Carson transformation for the considered differential equation to define the generalized transfer function which gives us the possibility to study and design system dynamics. We use a determined piecewise linear interval transfer function to solve the inverse dynamic problem and define the controller’s transfer function which allows for reaching the desired motion tra jectories. We show the use of our approach and its benefits by designing a controller for a ventilator electric drive. Comparison of the designed control system with the known one allows us to claim its high accuracy and energy efficiency.
Sustainable development strategies in the field of tourism and recreation in war conditions in Ukraine
Authors: Lavrenenko V V , Oberemchuk V F , Tereshchenko Y O , Farberov I V , Davydkova K M 
Published: December 2024

Abstract
For Ukraine, the question is very acute today: will Ukrainian business be able to continue its activities in war conditions and support the state’s economy. In the conditions of war, it is extremely difficult to solve many practical issues related to the problems of forming a business strategy based on the principles of sustainable development. The basis of which are ecological interests of society, eco-oriented development of companies, constant consumption and production. The article examines the peculiarities of the operation of tourist companies in the conditions of war, conducts a basic STEEPLE analysis, presents five illustrative cases of the experience of the operation of tourist companies during the war, defines the main components of strategies based on the principles of sustainable development and new formats of Ukrainian tourism in the realities of war. The purpose of the research is to study the practical experience of conducting activities in the field of tourism during the war in Ukraine and to develop recommendations for the formation of a strategy for the ecologically oriented development of tourist companies during the war.
Paleogeomorphological amber traps of the prypiat amber-bearing basin of the Ukraine (theory and methodology of searches)
Authors: Komliev O , Remezova O , Spitsya R , Naumenko U , Komlieva M , Koval D , Zhilkin S 
Published: December 2024

Abstract
Ukraine’s amber industry requires expansion of its mineral resource base. The territory of the Prypiat amber basin (PAB) is considered to be the most promising for this purpose. Here, a prognosis and search system for amber (PSSA) has been created that is capable of solving current problems of the industry and its development on a scientific basis, including the concept of the amber-bearing formation (AF) and its practical implementation – the search for the amber-bearing objects (AOs) – traps of various genesis. Currently, it is believed that the main increase in amber production in the territory of the PAB will occur due to paleogeomorphological traps (PTs). This task is solved by the morphochronodynamic concept, the information and methodological basis of which is paleogeomorphology. The morphochronodynamic concept uses the methodology of systems theory, presents its own research method and determines the content of subject cartographic models that reflect the results of the research. These are maps of: paleogeomorphological cycles of development of the geomorphosystem of the time of the AF formation; statics and dynamics of its materialised space-time – the geomorpholithosphere. On their basis, the paleogeomorphological traps of the PAB territory were typified by rank and their general assessment was made to identify increased, primarily industrial, concentrations of amber. The first rank is the geomorpholithosphere of the time of the AF formation, the second rank is its structural elements and, at the same time, forecasting and prospecting units – historically-dynamic basin geomorphosystems. The third rank includes morpholithohorizons of the geomorpholithosphere (elements of its vertical structure) and morpholithocomplexes (elements of its horizontal structure) that are promising for amber deposits. A comprehensive analysis of paleogeomorphological maps of the cycles of geomorphosystem development and formation of the AF allows to distinguish the fourth and fifth ranked PTs in the territory of the PAB. The fourth rank includes some forms of palaeo-relief of perspective cycles (ancient valleys, coastal zones, uplands). The fifth rank includes parts of large forms – depressions in paleodolines, beaches, benches, etc.
Geologically conditioned method of adjustment of a gravimetric network
Authors: Djorova PhD Eng. Severina 
Published: December 2024

Abstract
A modified method of parametric adjustment is proposed, with the introduction of zero drift as an additional unknown. It is shown that this method is more reliable and efficient for processing gravimetric measurements. The advantages of the proposed approach over the well-known methods used today for processing the results of relative gravimetric measurements are substantiated. The results obtained with the proposed adjustment approach are analyzed, as well as the possibilities for optimizing the overall program for measuring the gravimetric network. The analysis is supported by an example from a specific and real object. Conclusions and recommendations follow.
Underwater photogrammetry
Authors: Gospodinova Veselina , Kirov Alexander 
Published: December 2024

Abstract
The paper presents the nature and principles of underwater photogrammetry, the features of the environment, and the means and methods for data capture and processing. It discusses the current state of underwater photogrammetry and presents an overview of its applications. The aim is to introduce divers, researchers, and other specialists to the possibilities offered by underwater photogrammetry. The paper presents a comprehensive overview of the methodology from data acquisition to the generation of a three-dimensional digital model. The paper can also help recreational divers to broaden their professional interests and subsequently retrain and start providing data for use by geologists, biologists, engineers, ecologists, and other specialists. Similarly, it can also help professional divers and diving instructors to expand their knowledge so that they can carry out activities related to tracing and monitoring underwater infrastructure. Finally, diving associations can benefit from this paper if they use it to promoting underwater photogrammetry and its applications.
Robust quantum metrology with random Majorana constellations
Authors: Goldberg Aaron Z , Hervas Jose R , Sanz Angel S , Klimov Andrei B , Řeháček Jaroslav , Hradil Zdeněk , Hiekkamäki Markus , Eriksson Matias , Fickler Robert , Leuchs Gerd , Sánchez-Soto Luis L 
Published: December 2024

Abstract
Even the most classical states are still governed by quantum theory. A number of physical systems can be described by their Majorana constellations of points on the surface of a sphere, where concentrated constellations and highly symmetric distributions correspond to the least and most quantum states, respectively. If these points are chosen randomly, how quantum will the resultant state be, on average? We explore this simple conceptual question in detail, investigating the quantum properties of the resulting random states. We find these states to be far from the norm, even in the large-number-of-particles limit, where classical intuition often replaces quantum properties, making random Majorana constellations peculiar and intriguing. Moreover, we study their usefulness in the context of rotation sensing and find numerical evidence of their robustness against dephasing and particle loss. We realize these states experimentally using light’s orbital angular momentum degree of freedom and implement arbitrary unitaries with a multiplane light conversion setup to demonstrate the rotation sensing. Our findings open up new possibilities for quantum-enhanced metrology.
Using random forests to explore the feasibility of groundwater knowledge transfer between the contiguous US and Denmark
Authors: Ma Yueling , Koch Julian , Maxwell Reed M 
Published: December 2024

Abstract
Groundwater is our largest freshwater reservoir, playing an important role in the global hydrologic cycle. Lack of reliable groundwater data restricts the development of global groundwater monitoring systems linking observations with modeling at spatial scales relevant for local decision making. Despite the growing interests in machine learning (ML) for groundwater resource modeling, taking ML models to the global scale is still outstanding due to sparse groundwater data. The contiguous US (CONUS) has extensive groundwater information covering a wide range of hydrogeologic settings. We hypothesize that a ML model trained on the CONUS is transferable to other regions, and thus can be used to produce a global water table depth (WTD) map within the bounds of transferability. To test this hypothesis, we conduct a study on transferring groundwater knowledge between the CONUS and Denmark, using several random forest models trained against ∼30 m resolution long-term mean WTD data. The joint model trained on data from the CONUS and Denmark outperforms the individual models trained separately, implying similarities within global groundwater systems. The largest improvement occurs in Denmark, where the testing Nash-Sutcliffe efficiency rises from 0.68 to 0.95. SHapley Additive exPlanations (SHAP) values are utilized to express the importance of input variables. While annual mean precipitation plays a key role in the joint model and the model for the CONUS, it is the second least important input variable in the model for Denmark where local processes dominate. Moreover, Köppen-Geiger climate classification shows a significant impact on the model testing performance and the importance ranking of input variables, which might be a missing input variable in the applied random forest models. This study provides unique insights into future ML model developments towards global groundwater monitoring and improves our confidence in producing a hyper-resolution global WTD map for sustainable freshwater management.
Biomedical applications of the engineered AIEgen-lipid nanostructure in vitro and in vivo
Authors: Suo Meng , Zhang Tianfu , Liang Xing-Jie 
Published: December 2024

Abstract
Since the concept of aggregation-induced emission (AIE) was first coined by Tang and co-workers, AIE-active luminogens (AIEgens) have drawn widespread attention among chemists and biologists due to their unique advantages such as high fluorescence efficiency, large Stokes shift, good photostability, low background noise, and high biological visualization capabilities in the aggregated state, surpassing conventional fluorophores. A growing number of AIEgens have been engineered to possess multifunctional properties, including near-infrared emission, two-photon absorption, reactive oxygen species (ROS) generation and photothermal conversion, making them suitable for deep-tissue imaging and phototherapy. AIEgens show great potential in biomedical applications in vitro and in vivo. However, despite the favorable photophysical stability and ROS/heat generation capability in the aggregated state, limitations including uncontrolled size, low targeting efficiency, and unexpected dispersion in physiological environments have hindered their biomedical applications. The combination of AIEgens with lipids offers a simple, promising, and widely adopted solution to these challenges. This review article provides an overview of the synthesis methods of AIEgen-lipid nanostructures and their applications in the biomedical engineering field, aiming to serve as a guideline for developing these AIEgens-lipid nanostructures with promising biological applications.
A review of optical and thermal eye tissue parameters for improved computational models in retinal laser therapy
Authors: Zanellati G , Allegrini D , Auricchio F , Romano M R , Cattenone A , Alaimo G , Marconi S 
Published: December 2024

Abstract
Laser surgery is recognized as a highly effective method for managing retinal diseases. However, the thermal effects of the laser on different eye tissues are not entirely understood yet. In this context, computational modeling can be a useful tool to predict therapy outcomes. Accurate optical and thermal parameters of ocular tissues are crucial to correctly modeling the laser-tissue interactions. The present work aims to provide an easily accessible list of optical and thermal parameters for developing computational models involving ocular tissues. An extensive literature review was conducted to gather data on these parameters. The sources of data and the methodology used to calculate these parameters are analyzed in detail to ensure the reliability of the proposed values. In particular, this review focuses on density, specific heat, thermal conductivity, refractive index, and absorption coefficient, with optical properties referring to the 577 nm wavelength. The review underscores a common tendency to rely on pre-existing values when developing new computational models, often lacking clarity regarding selection criteria and data sources. This emphasizes the necessity for new experimental studies to improve the accuracy of ocular tissue properties.
An exergy-related soft sensor modeling framework for quality prediction in multimode hot rolling process based on bidirectional minimal gated unit and broad learning system
Authors: Zhang Chuanfang , Yin Wenxiao , Peng Kaixiang , Zhang Xueyi 
Published: December 2024

Abstract
Quality prediction plays a vital role in enhancing the product quality and economic benefits of manufacturing processes. Variability in working modes, dynamic behaviors observed in sequential data, and the inadequate utilization of energy consumption information have resulted in poor universality and diminished prediction accuracy of conventional deep learning-based quality prediction approaches. To this end, an exergy-related soft sensor modeling framework is designed in this paper. Specifically, an integrated correlation coefficient is proposed to select exergy-related variables. In order to fully use the historical and future dynamic information of exergy-related variables, bidirectional minimal gated unit (BiMGU) is combined with broad learning system (BLS) for feature extraction and quality prediction. After that, the expansion ability of the proposed method is further discussed. Finally, the proposed soft sensor framework is applied to a real hot rolling process (HRP). The experimental results indicate that the proposed framework has higher prediction performance than the other deep learning methods. Compared to traiditional BiMGU, the mean absolute error (MAE) and the root mean squared error (RMSE) of the proposed method are reduced by 0.0105 and 0.0114, respectively.
Confronting industry 4.0 adoption barriers: a systematic examination of challenges in FMCG plants within developing nations
Authors: Prakash Surya , Shukla Om Ji 
Published: December 2024

Abstract
This study investigates the barriers to Industry 4.0 (I4.0) adoption in Fast-Moving Consumer Goods (FMCG) plants within developing nations using a mixed-method approach. Barriers such as limited digital infrastructure, resource constraints, and lack of skilled workforce were identified and analysed through expert interviews and fuzzy-DEMATEL analysis. The analysis revealed that barriers such as high implementation costs, resistance to change, Risk aversion, and long return on investment period challenges were particularly influential, acting as both direct impediments and triggers for other barriers. The intricate interrelationships among the barriers were mapped, highlighting their cascading effects on I4.0 adoption. The study provides insights into the causes and effects of these barriers, aiding in the formulation of targeted strategies for overcoming them. The implications of the study extend to the enhancement of operational efficiency, innovation, and competitiveness in FMCG plants within developing nations. Furthermore, the findings emphasize the need for policy interventions and collaborative efforts among industry stakeholders to mitigate these barriers effectively. Future research should focus on cross-country comparisons to identify differences and similarities in the barriers to Industry 4.0 adoption across diverse economic and industrial contexts.