bluuebunny/crossref_metadata_2025 huggingface dataset:
Visualization Experiment on the Influence of the Lost Circulation Material Injection Method on Fracture Plugging
Authors: Feng Yi , Xin Guolin , Sun Wantong , Li Gao , Li Rui , Liu Huibin
Published: January 2025

The drilling fluid loss or lost circulation via near-wellbore fractures is one of the most critical problems in the drilling of deep oil and gas resources, which causes other problems such as difficulty in achieving wellbore pressure control and reservoir damage. The conventional treatment is to introduce granular lost circulation material (LCM) into the drilling fluid to plug the fractures. As the migration mechanism of the LCM in irregular fractures has not been completely figured out as of yet, the low success rate of fracture plugging and repeated drilling fluid loss still obstruct the exploitation of deep oil and gas resources. In this paper, the spatial data of actual rock fracture surfaces were obtained through structured light scanning, and an irregular surface identical to the rock was machined on a transparent polymethyl methacrylate plate. On this basis, a visualization experimental apparatus for fracture plugging was established, and the fracture flow space of this device was consistent with that of the actual rock fracture. Employing cylindrical nylon particles as LCM, a visualization experiment study was carried out to investigate the process of LCM bridging and fracture plugging and the influence of LCM injection methods. The experimental results show that the process of fracture plugging includes the sporadic bridging, plugging zone extension and merging, thickening of the plugging zone and complete plugging of the fracture. It was observed in the visualization experiment that a large number of small particles flow deep into the fracture in the traditional fracture plugging method, where all types and sizes of LCM are injected at one time. After changing the injection sequence, which injects the large particles first and the small particles subsequently, it is found that the large particles will form single-particle bridging at a specific depth of the fracture, intercepting subsequently injected particles and thickening the plugging zone, which finally increases the area of the plugging zone by 19%. The visualization experiment results demonstrate that modifying the LCM injection method significantly enhances both the LCM utilization rate and the fracture plugging effect, thereby reducing reservoir damage. This is conducive to reducing the drilling cost of fractured formation. Additionally, the visualized experimental approach introduced in this study can also benefit other research areas, including proppant placement and solute transport in rock fractures.
A Joint Prediction of the State of Health and Remaining Useful Life of Lithium-Ion Batteries Based on Gaussian Process Regression and Long Short-Term Memory
Authors: Luo Xing , Song Yuanyuan , Bu Wenxie , Liang Han , Zheng Minggang
Published: January 2025

To comprehensively evaluate the current and future aging states of lithium-ion batteries, namely their State of Health (SOH) and Remaining Useful Life (RUL), this paper proposes a joint prediction method based on Gaussian Process Regression (GPR) and Long Short-Term Memory (LSTM) networks. First, health features (HFs) are extracted from partial charging data. Subsequently, these features are fed into the GPR model for SOH estimation, generating SOH predictions. Finally, the estimated SOH values from the initial cycle to the prediction start point (SP) are input into the LSTM network in order to predict the future SOH trajectory, identify the End of Life (EOL), and infer the RUL. Validation on the Oxford Battery Degradation Dataset demonstrates that this method achieves high accuracy in both SOH estimation and RUL prediction. Furthermore, the proposed approach can directly utilize one or more health features without requiring dimensionality reduction or feature fusion. It also enables RUL prediction at the early stages of a battery’s lifecycle, providing an efficient and reliable solution for battery health management. However, this study is based on data from small-capacity batteries and does not yet encompass applications in large-capacity or high-temperature scenarios. Future work will focus on expanding the data scope and validating the model’s performance in real-world systems, driving its application in practical engineering scenarios.
Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation
Authors: Maleki Reza , Wu Falin , Qu Guoxin , Oubara Amel , Fathollahi Loghman , Yang Gongliu
Published: January 2025

The increasing demand for food and rapid population growth have made advanced crop monitoring essential for sustainable agriculture. Deep learning models leveraging multispectral satellite imagery, like Sentinel-2, provide valuable solutions. However, transferring these models to diverse regions is challenging due to phenological differences in crop growth stages between training and target areas. This study proposes the Adaptive Month Matching (AMM) method to align the phenological stages of crops between training and target areas for enhanced transfer learning in cropland segmentation. In the AMM method, an optimal Sentinel-2 monthly time series is identified in the training area based on deep learning model performance for major crops common to both areas. A month-matching process then selects the optimal Sentinel-2 time series for the target area by aligning the phenological stages between the training and target areas. In this study, the training area covered part of the Mississippi River Delta, while the target areas included diverse regions across the US and Canada. The evaluation focused on major crops, including corn, soybeans, rice, and double-cropped winter wheat/soybeans. The trained deep learning model was transferred to the target areas, and accuracy metrics were compared across different time series chosen by various phenological alignment methods. The AMM method consistently demonstrated strong performance, particularly in transferring to rice-growing regions, achieving an overall accuracy of 98%. It often matched or exceeded other phenological matching techniques in corn segmentation, with an average overall accuracy across all target areas exceeding 79% for cropland segmentation.
Development of an Aerial Manipulation System Using Onboard Cameras and a Multi-Fingered Robotic Hand with Proximity Sensors
Authors: Sato Ryuki , Badard Etienne Marco , Romulo Chaves Silva , Wada Tadashi , Ming Aiguo
Published: January 2025

Recently, aerial manipulations are becoming more and more important for the practical applications of unmanned aerial vehicles (UAV) to choose, transport, and place objects in global space. In this paper, an aerial manipulation system consisting of a UAV, two onboard cameras, and a multi-fingered robotic hand with proximity sensors is developed. To achieve self-contained autonomous navigation to a targeted object, onboard tracking and depth cameras are used to detect the targeted object and to control the UAV to reach the target object, even in a Global Positioning System-denied environment. The robotic hand can perform proximity sensor-based grasping stably for an object that is within a position error tolerance (a circle with a radius of 50 mm) from the center of the hand. Therefore, to successfully grasp the object, a requirement for the position error of the hand (=UAV) during hovering after reaching the targeted object should be less than the tolerance. To meet this requirement, an object detection algorithm to support accurate target localization by combining information from both cameras was developed. In addition, camera mount orientation and UAV attitude sampling rate were determined by experiments, and it is confirmed that these implementations improved the UAV position error to within the grasping tolerance of the robot hand. Finally, the experiments on aerial manipulations using the developed system demonstrated the successful grasping of the targeted object.
A Review of CNN Applications in Smart Agriculture Using Multimodal Data
Authors: El Sakka Mohammad , Ivanovici Mihai , Chaari Lotfi , Mothe Josiane
Published: January 2025

This review explores the applications of Convolutional Neural Networks (CNNs) in smart agriculture, highlighting recent advancements across various applications including weed detection, disease detection, crop classification, water management, and yield prediction. Based on a comprehensive analysis of more than 115 recent studies, coupled with a bibliometric study of the broader literature, this paper contextualizes the use of CNNs within Agriculture 5.0, where technological integration optimizes agricultural efficiency. Key approaches analyzed involve image classification, image segmentation, regression, and object detection methods that use diverse data types ranging from RGB and multispectral images to radar and thermal data. By processing UAV and satellite data with CNNs, real-time and large-scale crop monitoring can be achieved, supporting advanced farm management. A comparative analysis shows how CNNs perform with respect to other techniques that involve traditional machine learning and recent deep learning models in image processing, particularly when applied to high-dimensional or temporal data. Future directions point toward integrating IoT and cloud platforms for real-time data processing and leveraging large language models for regulatory insights. Potential research advancements emphasize improving increased data accessibility and hybrid modeling to meet the agricultural demands of climate variability and food security, positioning CNNs as pivotal tools in sustainable agricultural practices. A related repository that contains the reviewed articles along with their publication links is made available.
Cross-Domain Person Re-Identification Based on Multi-Branch Pose-Guided Occlusion Generation
Authors: Liu Pengnan , Wang Yanchen , Li Yunlong , Cheng Deqiang , Xu Feixiang
Published: January 2025

Aiming at the problems caused by a lack of feature matching due to occlusion and fixed model parameters in cross-domain person re-identification, a method based on multi-branch pose-guided occlusion generation is proposed. This method can effectively improve the accuracy of person matching and enable identity matching even when pedestrian features are misaligned. Firstly, a novel pose-guided occlusion generation module is designed to enhance the model’s ability to extract discriminative features from non-occluded areas. Occlusion data are generated to simulate occluded person images. This improves the model’s learning ability and addresses the issue of misidentifying occlusion samples. Secondly, a multi-branch feature fusion structure is constructed. By fusing different feature information from the global and occlusion branches, the diversity of features is enriched. This enrichment improves the model’s generalization. Finally, a dynamic convolution kernel is constructed to calculate the similarity between images. This approach achieves effective point-to-point matching and resolves the problem of fixed model parameters. Experimental results indicate that, compared to current mainstream algorithms, this method shows significant advantages in the first hit rate (Rank-1), mean average precision (mAP), and generalization performance. In the MSMT17→DukeMTMC-reID dataset, after re-ranking (Rerank) and time-tift (Tlift) for the two indicators on Market1501, the mAP and Rank-1 reached 80.5%, 84.3%, 81.9%, and 93.1%. Additionally, the algorithm achieved 51.6% and 41.3% on DukeMTMC-reID→Occluded-Duke, demonstrating good recognition performance on the occlusion dataset.
A Comprehensive Analysis of a Social Intelligence Dataset and Response Tendencies Between Large Language Models (LLMs) and Humans
Authors: Mori Erika , Qiu Yue , Kataoka Hirokatsu , Aoki Yoshimitsu
Published: January 2025

In recent years, advancements in the interaction and collaboration between humans and have garnered significant attention. Social intelligence plays a crucial role in facilitating natural interactions and seamless communication between humans and Artificial Intelligence (AI). To assess AI’s ability to understand human interactions and the components necessary for such comprehension, datasets like Social-IQ have been developed. However, these datasets often rely on a simplistic question-and-answer format and lack justifications for the provided answers. Furthermore, existing methods typically produce direct answers by selecting from predefined choices without generating intermediate outputs, which hampers interpretability and reliability. To address these limitations, we conducted a comprehensive evaluation of AI methods on a video-based Question Answering (QA) benchmark focused on human interactions, leveraging additional annotations related to human responses. Our analysis highlights significant differences between human and AI response patterns and underscores critical shortcomings in current benchmarks. We anticipate that these findings will guide the creation of more advanced datasets and represent an important step toward achieving natural communication between humans and AI.
Is Securitisation a Natural and Useful Response to Existential Threats? Introducing the Idea of Peacification
Authors: Kivimäki Timo
Published: January 2025

The need to decide whether to securitise an issue area that poses an existential threat, and then treat it as a security matter, is often regarded as a choice without positive alternatives. This article introduces an alternative framing: the “peacification” of issue areas that pose existential threats. It also demonstrates that there is variation in the levels of security and peace framing in authoritative speech. By measuring these levels in authoritative US presidential papers and comparing them with levels of success in the US efforts to reduce organised violence, the article falsifies the assumption that securitisation is the only realistic way to frame existential threats. Correlative evidence fails to support the view that the securitisation of organised violence is useful. This finding is highly significant for challenging the naturalness of mainstream security framing, which, due to the very grammar of “security,” is premised on political othering. After all, security is a property of an agent, while security issues traditionally arise from threats posed by another agent. By disaggregating the elements of these two framings, this article offers plausible explanations as to why, in general, peacification may be a better framing for the prevention of organised violence than securitization.
About the Rare-Earth Metal(III) Bromide Oxoarsenates(III) RE5Br3[AsO3]4 with A- (RE = La and Ce) or B-Type Structure (RE = Pr, Nd, Sm–Tb) and RE3Br2[AsO3][As2O5] (RE = Y, Dy–Yb)
Authors: Locke Ralf J. C. , Ledderboge Florian , Goerigk Felix C. , Zimmer Frank C. , Schleid Thomas
Published: January 2025

The monoclinic rare-earth metal(III) bromide oxoarsenates(III) RE5Br3[AsO3]4 of the A-type (RE = La and Ce) crystallize in the space group C2/c with the lattice parameters a = 1834.67(9) pm, b = 553.41(3) pm, c = 1732.16(9) pm and β = 107.380(3)° for La5Br3[AsO3]4 and a = 1827.82(9) pm, b = 550.67(3) pm, c = 1714.23(9) pm and β = 107.372(3)° for Ce5Br3[AsO3]4 with Z = 4, while, for the B-type (RE = Pr, Nd and Sm–Tb), they prefer the space group P2/c with lattice parameters from a = 881.23(5) pm, b = 547.32(3) pm, c = 1701.14(9) pm and β = 90.231(3)° for Pr5Br3[AsO3]4 to a = 875.71(5) pm, b = 535.90(3) pm, c = 1643.04(9) pm and β = 90.052(3)° for Tb5Br3[AsO3]4 with Z = 2. The closely related rare-earth metal(III) bromide oxoarsenates(III) RE3Br2[AsO3][As2O5] crystallize in the triclinic space group P1¯ with lattice parameters from a = 539.15(4) pm, b = 870.68(6) pm, c = 1092.34(8), α = 90.661(2)°, β = 94. 792(2)° and γ = 90.223(2)° for Dy3Br2[AsO3][As2O5] to a = 533.56(4) pm, b = 869.61(6) pm, c = 1076.70(8), α = 90.698(2)°, β = 94.785(2)° and γ = 90.053(2)° for Yb3Br2[AsO3][As2O5] with Z = 2. All three structures have the same building units with [REO8]13− and [REO4Br4]9− polyhedra as well as isolated ψ1-tetrahedral [AsO3]3− anions in common, with the exception that, in the latter two, ψ1-[AsO3]3− tetrahedra linked by a corner form a pyroanionic [As2O5]4− entity. A- and B-type differ in the stacking sequence of their 2∞{[(RE3)Ot4/1(Br1)v1/2(Br2)e3/3]6.5−} layers. While the former have an ABC sequence, the latter exhibit an AAA variant. In the triclinic structures, the (RE3)3+ sites are thinned out, while the As3+ sites are simultaneously enriched, resulting in the mentioned condensed units.
Perceptions of Organizational Change Readiness for Sustainable Digital Transformation: Insights from Learning Management System Projects in Higher Education Institutions
Authors: Veseli Artan , Hasanaj Petrit , Bajraktari Agron
Published: January 2025

The adoption of Learning Management Systems (LMS) in Higher Education Institutions (HEI) offers a transformative potential to enhance educational quality, operational efficiency, and cost-effectiveness while promoting sustainable digital transformation. However, resistance to LMS implementation often undermines these benefits. Initial perceptions of an Organizational Change Readiness (OCR) play a crucial, as they shape attitudes and behaviors, often resulting in rumors, disengagement, and resistance. The objective of the study is to explore how attributes of change, leadership support, internal organizational context, and attributes of change targets impact OCR in the context of LMS implementation. Drawing from organizational change management and information systems literature, this study examines key factors influencing these early perceptions within LMS initiatives. A cross-sectional survey was conducted with 316 university personnel across seven public universities and three private colleges. Data were analyzed using partial least squares, revealing that vision clarity, change appropriateness, top-management support, project champion effectiveness, and organizational flexibility explaining 75% of the variance in perceived OCR. Conversely, factors such as change efficacy, organizational history of change, organizational conflicts, and group self-efficacy demonstrated limited influence. These findings underscore the importance of aligning LMS initiatives with institutional goals, fostering sustainable digital practices, and enhancing policy frameworks to facilitate smooth adoption. This study provides actionable insights for promoting sustainable educational transformation in HEIs, particularly in contexts where traditional teaching methods prevail and resistance to technological change is common.
Does Market-Based Environmental Regulatory Policy Improve Corporate Environmental Performance? Evidence from Carbon Emission Trading in China
Authors: Li Nan , Zhang Huilin , Zhang Xiangyan , Xie Xin
Published: January 2025

The carbon emissions trading (CET) policy is a crucial market-based environmental regulatory policy for managing corporate carbon emissions, thereby assisting China in achieving its carbon peak and carbon neutrality goals. This study examines whether such a policy can boost corporate environmental performance. Based on China’s CET pilot as a quasi-natural experiment, this paper employs the difference-in-differences method and difference-in-difference-in-differences method to analyze the data of listed companies in the pilot regions from 2010 to 2020. Findings show that the policy of CET has a significant positive influence on firms’ environmental performance. Notably, while high-pollution companies benefit substantially, the effect is relatively weaker compared to others. Mechanism analysis shows that the policy drives improvements through enhanced environmental management and green innovation, and government environmental subsidies promote the effect of CET on environmental performance. In addition, the impact is more pronounced in state-owned, large-scale, and power industry companies; companies in regions with strong environmental regulations; and with high executive green awareness. These findings provide some insights for refining China’s CET framework and enhancing environmental outcomes.
Urban Arterial Lane Width Versus Speed and Crash Rates: A Comprehensive Study of Road Safety
Authors: Azin Bahar , Ewing Reid , Yang Wookjae , Promy Noshin Siara , Kalantari Hannaneh Abdollahzadeh , Tabassum Nawshin
Published: January 2025

Reducing vehicle lane widths has been proposed as an effective strategy to decrease vehicle speeds and enhance road safety. However, the safety benefits of narrower travel lanes remain a topic of debate due to mixed findings in the literature. This study examines the relationship between lane width, vehicle speed, and crash occurrence to comprehensively understand their impact on road safety and transportation planning. Using data from 320 urban arterial sections in Utah, the analysis reveals that narrower lane widths are associated with reduced vehicle speeds. For every additional foot of lane width, 85th and 95th percentile speeds increase by 1.012 mph and 1.088 mph, respectively. Furthermore, injury crash modeling indicates that a one-foot increase in lane width is associated with a 38.3% increase in the odds of an injury crash on a roadway section. These findings contribute to the growing evidence supporting the implementation of narrower lane widths as a strategy to improve road safety, foster multimodal infrastructure, and promote sustainable urban transportation systems. We recommend that UDOT adopt a minimum lane width of 10 or 11 feet for arterials in highly urbanized areas, such as downtowns and major activity centers.
Methods for Calculating Greenhouse Gas Emissions in the Baltic Sea Ports: A Comparative Study
Authors: Tombak Mari-Liis , Tapaninen Ulla , Kotta Jonne
Published: January 2025

Ports are vital nodes of maritime transport. To be able to decrease their GHG emissions, ports have developed various automated or semiautomated tools for emission assessment. In this study, we focus on an open-source tool called EVISA and compare how seven Baltic Sea ports are using this tool. We found that the results of these assessments are incomparable, all the ports use the tool differently, and report different numbers of emissions. We also compare how one port, the Port of Tallinn, uses two different tools and ends up with different numbers of emissions. The study offers a detailed comparison of the port-specific methods, data collection processes, and calculation principles, evaluating their effectiveness in measuring emissions from maritime transport in ports. Additionally, it highlights the pressing need for standardised greenhouse gas emission mapping methodologies in ports. The results highlight the need to create a cohesive, easy-to-use tool that complies with established standards like the GHG Protocol, IPCC guidelines, and ISO 14064.
Research on Logistics Service Supply Chain Coordination in the Context of Green Innovation
Authors: Sun Yuxiang , Zhang Xiaopu , Huang Xirou , Cao Wenbin
Published: January 2025

With the global advancement of sustainable development concepts, the logistics industry is confronting significant environmental challenges, making green innovation a critical driver for industrial transformation and upgrading. However, during the green innovation process in logistics service supply chains, the differing roles of logistics service integrators and logistics service providers, combined with high costs and uncertain returns, hinder coordination efficiency. Therefore, it is imperative to enhance the coordination of supply chain contracts. Nevertheless, existing literature provides limited insights into the coordination capacities and impacts of different contracts on green innovation in logistics service supply chains. This study develops a Stackelberg game model where the logistics service integrator acts as the leader and logistics service providers serve as followers, examining the effects of cost-sharing contracts, revenue-sharing contracts, and hybrid cost-sharing and revenue-sharing contracts on supply chain coordination. Numerical simulations are employed to validate the findings. The results indicate that hybrid contracts provide the strongest incentives for green innovation among supply chain participants, whereas cost-sharing contracts offer relatively weaker incentives for integrators’ green design innovation. In addition, revenue-sharing contracts and hybrid contracts were effective in reducing the wholesale price of green logistics services, although all three contract types resulted in higher market prices. Finally, all three contract types achieve Pareto improvements in the supply chain, with hybrid contracts maximizing the total profit of the supply chain. This study not only elucidates the incentive mechanisms and relative advantages of different contracts in supply chain collaboration, but also offers critical theoretical and practical insights for designing contracts to foster green innovation in the logistics sector.
Multilevel Analysis Applied in High-Impact Environments: Causes and Effects of Firm and Political Activities During the Pandemic in the Restaurant Sector
Authors: Fernández-de-Caleya-Dalmau Ramón , Ramos-Abascal María Isabel , Maylín-Aguilar Caridad
Published: January 2025

The COVID-19 pandemic has meant a serious risk to the economic viability of companies and the sustainability of employment in the restaurant sector, a high-impact activity for the economy and employment in Mexico and Spain. This paper analyzes the causes of the prolonged and intense damage to companies and employees via multilevel analysis techniques and a qualitative, inductive methodology drawing on multiple sources. Research propositions posit that the sectoral structure, management practices, and institutional actions during and after the pandemic are predictors of recovery or continued losses. The balanced result of these three levels of analysis, in a severe crisis situation, such as the global pandemic, reveals that the combination of low institutional protection at the macro level, a hostile industry structure at the meso level, and a focus solely on economic sustainability as the primary business objective resulted in widespread resignation and put survival at risk, particularly for smaller companies and entrepreneurs. Analysis of the firms’ and stakeholders’ actions also shed light on the inter-relations, such as the negative effect of macro general policies on a fragmented, asymmetric meso level. Inter-relations among customers and firms’ behavior gave insights that could increase resilience before general critical events. Finally, the balanced results recommend a simultaneous effort from firms and policy makers to make possible a profound change while addressing the sector’s shortcomings. Firms’ effort in managing key assets, such as human capital, to acquire the capacity for the flexibility, adaptability, and innovation essential for change and renewal, must be endorsed by institutional support and customer recognition of the contributions of this singular service and cultural industry.
Development of RT-PCR Assays for Simple Detection and Identification of Sabin Virus Contaminants in the Novel Oral Poliovirus Vaccines
Authors: Singh Olga , Manukyan Hasmik , Tritama Erman , Lee Shwu-Maan , Weir Jerry P. , Laassri Majid
Published: January 2025

Background/Objectives: Conventional live oral poliovirus vaccines (OPVs) effectively prevent poliomyelitis. These vaccines are derived from three attenuated Sabin strains of poliovirus, which can revert within the first week of replication to a neurovirulent phenotype, leading to sporadic cases of vaccine-associated paralytic poliomyelitis (VAPP) among vaccinees and their contacts. A novel OPV2 vaccine (nOPV2) with enhanced genetic stability was developed recently; type 1 and type 3 nOPV strains were engineered using the nOPV2 genome as a backbone by replacing the capsid precursor polyprotein (P1) with that of Sabin strains type 1 and type 3, respectively. The nOPV vaccines have a high degree of sequence homology with the parental Sabin 2 genome, and some manufacturing facilities produce and store both Sabin OPV and nOPV. Therefore, detecting Sabin virus contaminations in nOPV lots is crucial. Methods: This study describes the development of pan quantitative reverse transcription polymerase chain reaction (panRT-PCR) and multiplex one-step RT-PCR (mosRT-PCR) assays for the straightforward detection and identification of contaminating Sabin viruses when present in significantly higher amounts of nOPV strains. Results: The two assays exhibit high specificity, reproducibility, and sensitivity to detect 0.0001% and 0.00001% of Sabin viruses in nOPV, respectively. Additionally, an analysis of 12 trivalent nOPV formulation lots using both methods confirmed that the nOPV lots were free from Sabin virus contamination. Conclusions: The results demonstrated that the RT-PCR assays are sensitive and specific. These assays are relevant for quality control and lot release of nOPV vaccines.
Three-Dimensional Particle Tracking Velocimetry Investigation of Flow Dynamics Around Simplified Stones at Low Submergence: Implications for Instream Habitat
Authors: Nilsson Dan A. , Andersson Anders G. , Larsson I. A. Sofia , Andersson Robin , Billstein Mats
Published: January 2025

Shallow waterways such as rapids, tributaries and smaller streams can have important ecological functions in both free-flowing and regulated rivers. As more intermittent renewable energy is introduced to the energy system to reduce CO2 emissions, the operational conditions of hydropower plants are changing. This implies various flow scenarios that can lead to more locations with shallow depths and larger variations in water levels and velocities, resulting in increased impact on the riverine ecosystem. Accurate predictions of these impacts require an understanding of the flow dynamics near large roughness elements such as boulders or trees in shallow river regions. This study uniquely investigates the effect of relative submergence, i.e., water depth relative to boulder size, on the flow field, turbulence, and potential fish habitats around idealized stone shapes (hemispheres) in shallow open channel flow using time-resolved 3D particle tracking velocimetry. The results indicate that varying relative submergence significantly affects recirculation zones, velocity and vorticity distribution, as well as turbulent kinetic energy. Notably, larger regions of lower velocity downstream of the roughness elements were generated at lower submergences, which might be favorable for fish energy conservation. Valuable insights into ecohydraulic engineering and habitat restoration in shallow waterways can be gained by understanding the fundamental flow mechanisms at low submergence for the flow around large roughness elements.
Reconstructing the Environmental Conditions in the Prehistoric Coastal Landscape of SE Lemnos Island (Greece) Since the Late Glacial
Authors: Koukousioura Olga , Kouli Katerina , Gkouma Myrsini , Theocharidis Nikolaos , Ntinou Maria , Chalkioti Areti , Dimou Vasiliki-Grigoria , Fatourou Eugenia , Navrozidou Valentini , Kafetzidou Aikaterini , Tsourlos Panagiotis , Aidona Elina , Avramidis Pavlos , Vouvalidis Konstantinos , Syrides George , Efstratiou Nikos
Published: January 2025

Agia Bay is located on the southeastern coast of Lemnos Island. The coastal area today is characterized by aeolian sandy deposits (dunes). The systematic investigation of a 15.5-m long sediment core from the coastal plain of Agia Bay aimed to shed light to the paleoenvironmental evolution of the area that prehistoric groups occupied. The exhaustive study of the faunal and floral remains of the deposits including benthic foraminifera, ostracods, mollusks, pollen, and dinoflagellate cysts as well as plant remains was further supported by sedimentological, micromorphological, and elemental analyses, magnetic susceptibility measurements, ERT, and absolute dating. Four main evolutionary stages have been identified since the Late Glacial. At the base of the sequence, the fluvial activity dominated the sedimentation in the area forming a small shallow wetland, while after 12,500 cal BP, a marine signal was observed at the wetland. At 7500 cal BP, the wetland increased in size and depth, whereas at 6000 up to 4000 cal BP, a connection of the wetland to the sea was established, and an inner lagoon formed. After 4000 cal BP, a nearshore environment developed due to the sea-level rise. Pollen assemblages record the occurrence of a mixed deciduous oak forest in the island interior around 6000 cal BP, while after 5000 cal BP, an expansion of Mediterranean vegetation, shaped by human activity, is inferred.
Review of instruments for promoting northern tourist destinations
Authors:   Peoples Friendship University of Russia, Moscow, Zeveke O. Yu.
Published: January 2025

The review article examines examples of promoting brands of northern tourist territories, both
foreign and Russian destinations.
Promotion strategy in practice of Russian and foreign companies
Authors:   Higher School of Management, Peoples Friendship University of Russia named after Patrice Lumumba, Moscow, Bakhtibekov A. A.
Published: January 2025

Today, the hotel industry is considered one of the most promising and fast-growing
industries, generating huge incomes worldwide. The hotel sector, which is part of the tourism industry,
has great potential for the Russian market. Every year, the number of hotels and motels increases both
within the country and abroad. The hotel industry is a powerful system of the economy of a region or
tourist center, playing an important role in the tourism economy. In the conditions of market competition,
hotel enterprises must provide high quality services to meet the needs of the population and at the
same time make a profit. To achieve this goal, it is necessary to correctly apply marketing, advertising
and PR strategies. The article analyzes Russian and foreign experience in the field of promoting hotel
enterprises.
Congenital heart defects and pregnancy
Authors:   Medsi Clinic, Moscow, Krasnopolskaya A. F.
Published: January 2025

Heart disease ranks first in prevalence among all extragenital diseases during pregnancy.
In the structure of extragenital pathology, diseases of the cardiovascular system account for approximately 10% and are represented, along with arterial hypertension, by congenital and acquired
heart defects, arrhythmias, and other cardiovascular diseases, the diagnosis and treatment of which
during pregnancy pose certain difficulties associated not only with limited diagnostic capabilities,
but also with the choice of drug treatment.
Comparative analysis of the population of the brachiopod belonging to Artemia genus in the hypersaline lakes of Crimea based on its morphometric characteristics
Authors:   Department of the Kerch, Azov-Black Sea branch of VNIRO (AzNIIRKH), Russia, Kerch, Semik A.M. , Zamyatina E.A. ,   Department of the Kerch, Azov-Black Sea branch of VNIRO (AzNIIRKH), Russia, Kerch, Parshin-Chudin A.V. ,   Russian Federal Research Institute of Fisheries and Oceanography (VNIRO), Russia, Moscow, Tyrin D.V. ,   Russian Federal Research Institute of Fisheries and Oceanography (VNIRO), Russia, Moscow
Published: January 2025

Systematic and regular long-term observations of Crimean artemia
populations have not been carried out, and therefore, there is little data in the
literature on the size and weight characteristics and morphometric features
of artemia at different stages of development. It is obvious that the water-salt
regime of many lakes is changing and new observations of the peculiarities
of its biology and the study of its morphometric indicators are required for
a reliable assessment of stocks and forecasting of catch volumes of artemia.
Aim of this work is to study the morphometric characteristics of the brine
shrimp, a branchiopod crustacean (gen. Artemia) of the saline lakes within
Kransnoperekopsk, Chernomorsk, Saky and Lenino Districts of the Republic
of Crimea. The correlation analysis of morphometric (9 morphological and
3 meristic) parameters of Artemia males and females has been conducted.
New data on the length, weight and morphometric characteristics of the
brine shrimp at various stages of its development have been obtained for
the hypersaline water bodies of the Republic of Crimea. In the hyperhaline
lakes of the Republic of Crimea, parthenogenetic and bisexual Artemia
populations have been found. Investigated morphological features of male
and female individuals have shown a different degree of contingency. The
furca parameters in females and the abdomen parameters in males are found
to be the most variable. Based on the morphometric characteristics of the
investigated Artemia populations, a similarity dendrogram for the saline lakes
has been created. The morphometric and cluster analysis made it possible
to categorize the investigated lakes into three groups with differing salinity.
Mineralization of these water bodies exerts a morphogenetic influence on the
growth and development of Artemia.
The effectiveness of probiotics in aquaculture (review)
Authors:   Novosibirsk State Agrarian University, Russia, Novosibirsk, Mikhailov A.A. , Moruzi I.V. ,   Novosibirsk State Agrarian University, Russia, Novosibirsk, Pishchenko E.V. ,   Novosibirsk State Agrarian University, Russia, Novosibirsk, Kalmykova G.V. ,   Mikopro, Russia, Novosibirsk, Mager S.N. ,   Siberian Federal Scientific Center of Agrobiotechnology, Russia, Novosibirsk
Published: January 2025

Fish farming involves a large number of critical stages. Throughout
the entire growth from hatching from eggs to reaching the parameters of commercial fish, a huge number of transplants, transfers to new food, and external environmental changes are carried out. In closed systems, the influence of abiotic factors on aquaculture facilities decreases, but the influence
of anthropogenic factors increases many times. Such an impact, together
with the peculiarities of the intensive method of cultivation, leads to
an increase in the risks of infections and stress, therefore, a lot of scientific research
is aimed at identifying possible ways to increase the immunity of fish to aquaculture. One of the ways to achieve this goal is to introduce effective probiotic supplements into the industry. For the treatment and prevention
of diseases in fish, antibiotics, dyes and other drugs are used, they should be replaced with probiotics, phytobiotics, and vaccination. Modern research is related to the desire to reduce risks both for fish and subsequently for humans.
The danger of using antibiotics lies in dysbiosis, the possibility of the
appearance of pathogen strains immune to them, as well as in the violation
of the natural microflora. The answer to the need to reduce such risks is the use of means aimed at increasing natural immunity. The review examines the modern achievements of Russian scientists in this field.
Organizational design and leasing of hotel type enterprises
Authors:   Voronezh State University of Engineering Technologies, Glagoleva L. E. , Zatsepilina N. P. ,   Department of Quality Management, Hotel Business and Tourism, Voronezh State University of Engineering Technologies, Kovaleva E. N. ,   Department of Higher Mathematics, Voronezh State University of Engineering Technologies, Zatsepilina L. S. ,   Voronezh State University of Engineering Technologies, Sandberg A. B. ,   Voronezh State University of Engineering Technologies, Sehniev M. E. ,   Voronezh State University of Engineering Technologies
Published: January 2025

The article discusses key aspects of organizational design of service enterprises. The main attention is paid to water supply and life support systems that ensure comfort and safety for guests, as well as to modern methods of water purification and disinfection. Lighting, as an important element of comfort and safety, is presented through functional and decorative solutions using energy-saving technologies. Landscaping and interior design are highlighted as essential components in creating a welcoming and inviting environment for visitors. The article emphasizes the importance of an integrated approach to design in order to improve the level of service and competitiveness of an enterprise.
Current trends in the development of Russian foreign trade
Authors:   Krasnodar Branch of the Plekhanov Russian University of Economics, Veselov D. S. , Azizov S. A. ,   Krasnodar Branch of the Plekhanov Russian University of Economics
Published: January 2025

Foreign trade is the leading form of foreign economic activity for most Russian companies. Export is
the most important source of foreign currency earnings in the state economy. Meanwhile, due to imports, the country receives industrial equipment and consumer goods that are not produced by the national economy. The raw materials orientation of exports remains the crucial issue of the country.
Advertising policy of organizations: theoretical aspects of its development
Authors:   Department of International Commerce and Logistics, Presidential Academy (RANEPA), Department of Management, Faculty of Economics, State Academic University for the Humanities, Moscow, Russia, Nikolaeva. M. A. , Goncharova E. V. ,   Faculty of Economics, State Academic University for the Humanities, Moscow, Russia
Published: January 2025

The article discusses the theoretical aspects of the development and implementation of
advertising policies of organizations. The author's definition of the term «advertising policy» is given; the purpose, objectives, principles, main directions of advertising policy, and the grounds for their choice are
indicated. Possible risks from choosing a certain direction of advertising policy and measures to prevent them have been identified. The expected results of the implementation of advertising policy have been established.
Clima organizacional y su relación con la satisfacción laboral del personal administrativo universitario
Authors: Checalla-Anticona Yelitza Maribel , Rodríguez-Román Rufino , Alva-Olivos Manuel Antonio , Carbonell-García Zabely Marly
Published: January 2025

El presente estudio tiene como objetivo determinar la relación que existe entre el clima organizacional y la satisfacción laboral del personal administrativo en una Universidad privada de Ancash – Perú. Se desarrolló una investigación de tipo descriptiva con diseño no experimental y alcance correlacional. La población estuvo conformada por 166 trabajadores administrativos, trabajándose con la totalidad de esta, por lo que no fue necesario realizar cálculo de la muestra. Existe una relación significativa entre el clima organizacional y la satisfacción laboral del personal administrativo de una Universidad en Ancash, cuyo coeficiente Rho fue igual a 0,777. La importancia de un adecuado clima organizacional bajo relaciones interpersonales entre todos los miembros de la institución, no obstante, la gestión de la empresa obtiene mejores resultados a través del cumplimiento de actividades por parte de los colaboradores
Gestión de la calidad y estrés laboral en personal hotelero
Authors: Flores-Matienzo Prysyla Stheffany , Carbonell-García Carmen Elena , Concha-Huarcaya Manuel Alejandro , Alva-Olivos Manuel Antonio
Published: January 2025

Respecto al objetivo fue determinar la relación entre la gestión de la calidad y el estrés laboral en el Saint Germain Hotel de Trujillo, 2023. La investigación siguió un curso alineado como descriptivo no experimental, la población ascendió al total de 30 trabajadores formales en el Saint Germain Hotel de Trujillo al año 2023. Existe estadísticamente una correlación positiva, además de media, entre gestión de la calidad y estrés laboral (0.684 obtenido con el estadígrafo “r” de Pearson), dicho resultado alcanzó una significancia de 0,029 cumpliendo con el parámetro p < 0,05, ello revela que en caso en que las puntuaciones tengan un aumento en una variable, entonces el aumento se registrará en la segunda variable y viceversa. Se admitió categóricamente la medular hipótesis que admite la correlación
Estrategias motivacionales para mejorar el desempeño laboral en servidores públicos
Authors: Bernuy-Álvarado Cinthia Katherin , Carbonell-García Carmen Elena , Sosa-Aparicio Luis Alberto , Ruíz-Gómez Percy John
Published: January 2025

El objetivo de la investigación fue evaluar el impacto de las estrategias motivacionales en el desempeño laboral de los servidores públicos del Organismo de Formalización de la Propiedad Informal en el año 2023. En términos metodológicos, el estudio se enmarca en el paradigma positivista, ya que busca identificar y explicar las causas del problema y cómo estas se manifiestan en un período de tiempo determinado, utilizando un enfoque hipotético-deductivo. Los resultados del estudio indican que las estrategias motivacionales tienen un efecto positivo en el desempeño laboral de los servidores públicos del Organismo de Formalización de la Propiedad Informal en el año 2023. Esto se evidencia en el análisis comparativo entre el pretest y el postest, donde se observa un incremento del 83.3% en el nivel de desempeño laboral después de la implementación de dichas estrategias.
Calidad de servicio y su relación con la satisfacción del usuario - área de finanzas
Authors: Armas-Zavaleta Kelly Paola , Arroyo-Rosales Elizabeth Madeleine , Armas-Zavaleta María Isabel , Rodríguez-Román Rufino
Published: January 2025

Se estableció como objetivo determinar la relación entre la calidad de servicio y la satisfacción del usuario en el área de finanzas del alumno en una universidad de Nuevo Chimbote, Ancash – Perú. El tipo fue descriptivo con diseño no experimental, la población fue de 350 estudiantes. Existe una relación significativa entre la calidad de servicio y satisfacción del usuario en el área de finanzas del alumno en una universidad de Nuevo Chimbote en Ancash cuyo coeficiente Rho fue igual a 0.945, demostrándose la hipótesis planteada y rechazando a la hipótesis nula, además se determinó la importancia que presentan los servicios educativos y el trato que se brinda a los estudiantes para que se encuentren satisfecho con el servicio que reciben
Desafíos y oportunidades de la educación continua en entornos fiscales: perspectivas de profesionales y empresas
Authors: Mogrovejo-Segarra Jenny Alexandra , Narváez-Zurita Ximena Elizabeth , Montero-Cobo Myrian Alejandra
Published: January 2025

Este estudio profundiza en los desafíos, ventajas y oportunidades de la educación continua en este ámbito, desde la perspectiva tanto de profesionales como de las empresas. tiene como objetivo identificar los principales desafíos y oportunidades que enfrenta la educación continua en entornos fiscales, desde las perspectivas de profesionales y empresas. De tipo descriptivo no experimental. Se identifican oportunidades como la mejora de la educación fiscal, la modernización mediante tecnología en la gestión tributaria y el fomento del emprendimiento. La inclusión de la educación fiscal en los planes de estudio y el desarrollo de herramientas educativas eficaces son aspectos que se consideran relevantes en esta investigación. Este estudio resalta la necesidad de educación continua en materia fiscal para fortalecer el cumplimiento tributario, mejorar la gestión fiscal y contribuir al desarrollo económico y social.