bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Carbon Taxes and Carbon Tax Recovery on the Chinese Economy: A Green Technological Progress Perspective
Authors: Xu Weicheng , Zhang Yunpeng
Published: February 2025

Environmental challenges, particularly the emission of greenhouse gases (GHGs), pose significant threats to global sustainability. Sustainability requires achieving economic growth and social progress while minimizing environmental degradation, improving resource efficiency, and ensuring long-term ecological balance. At present, many studies have shown that carbon taxes may negatively impact the economy. However, environmental regulations also drive firms to pursue green technological innovations, thereby promoting progress. Previous studies on the regulatory measure of carbon taxes have often overlooked the potential influence of green technological progress on economic outcomes. To address these gaps, our research selected panel data from 30 provinces in China, spanning from 2005 to 2021, and employed the System Generalized Method of Moments (SYS-GMM) to evaluate the effect of carbon taxes on green total factor productivity (GTFP) and green total factor energy efficiency (GTFEE). The regression results, representing the green technological progress coefficient, are then incorporated into the China Energy-Environment-Economic Analysis 2.0 (CEEEA2.0) model. We also add carbon tax recovery to this model in order to analyze their economic impact from the new perspective of green technological progress. The SYS-GMM findings suggest that carbon taxes positively impact GTFP and GTFEE, with impact coefficients of 7.2% and 3.4%, respectively. The CEEEA2.0 model reveals that, without considering green technological progress, the introduction of carbon taxes negatively impacts the economy. However, this impact may turn into a positive one when green technological progress is considered. Additionally, carbon tax recovery measures help mitigate economic losses or enhance gains. Overall, this study offers a fresh perspective for modeling carbon tax implementation and holds both theoretical and practical significance and provides actionable insights into designing carbon tax policies that balance economic growth, social equity, and environmental sustainability.
Spatiotemporal Evolution and Driving Mechanism of Production–Living–Ecological Space from 1990 to 2020 in Hunan, Central China
Authors: Wu Shanfeng , Mo Wenbo , Zhang Runlei , Xiao Xuan , Li E , Liu Xi , Yang Nan
Published: February 2025

China’s rapid economic growth has increased tensions between production, living, and ecological spaces (PLES), making sustainable land-use planning difficult. Therefore, PLES evolution and processes are a focus of current research. Remote sensing data with land-use transition matrices, centroid migration, standard deviation ellipses, spatial autocorrelation, and geographic detectors were used to study the dynamics of PLES in Hunan Province from 1990 to 2020, elucidate its mechanisms and main influencing factors, and provide a comprehensive understanding of its evolutionary characteristics. The main conclusions of our analysis are as follows: (1) Ecological space was the dominant land-use type, while production space increased, putting strain on natural areas. (2) Living space increased by 40.73% over three decades, mostly comprising manufacturing space, highlighting urban expansion. (3) Despite land-use changes, Loudi City’s PLES centroid remained central. (4) Standard deviation ellipses showed spatial shrinkage with directional stability, implying enhanced land usage within borders rather than outward growth. (5) The geographic detector analysis showed that the GDP, population density, slope, and elevation influenced these spatial changes. Economic prosperity drove urban expansion, but the slope and elevation limited development to accessible locations. These findings provide policymakers with essential information for balancing urbanization and ecological preservation and provide a case study for sustainable PLES design in rapidly developing regions.
Use of Lighting Technology in Controlled and Semi-Controlled Agriculture in Greenhouses and Protected Agriculture Systems—Part 1: Scientific and Bibliometric Analysis
Authors: Villagran Edwin , Espitia John Javier , Rodriguez Jader , Gomez Linda , Amado Gina , Baeza Esteban , Aguilar-Rodríguez Cruz Ernesto , Flores-Velazquez Jorge , Akrami Mohammad , Gil Rodrigo , Arias Luis Alejandro
Published: February 2025

This paper examines the essential role of artificial lighting in protected agriculture, a crucial sector in addressing the increasing global food demand and the challenges posed by climate change. It explores how advanced lighting technologies, particularly LED systems, have revolutionized productivity and sustainability in greenhouses and indoor or urban farming systems. These technologies enable precise control over key factors influencing crop growth, optimizing both yield and resource efficiency. The methodology was based on a bibliometric analysis developed in four phases: collection of information in the scientific database Scopus, filtering and selection of relevant documents, quantitative and qualitative analysis of trends, and visualization of the results using tools such as VOSviewer. The study included scientific publications between 1974 and 2024, focusing on keywords related to greenhouse lighting technologies and protected agriculture systems. Key findings identified a significant increase in research over the last two decades, with countries such as the United States, Canada, the Netherlands, and China leading the way in scientific output. The main trends in artificial lighting for protected agriculture include the use of specific light spectra (particularly red and blue) to optimize photosynthesis and morphogenesis, as well as the integration of LED systems with digital sensors and controllers for enhanced precision. However, in developing countries such as Colombia, the adoption of these technologies remains in its early stages, presenting significant opportunities for implementation and expansion. Additionally, this bibliometric analysis provides a robust foundation for identifying key areas for improvement and guiding future research toward more sustainable and efficient agricultural practices.
The Effect of Human Resource Analytics on Organizational Performance: Insights from Ethiopia
Authors: Tessema Shimelis Adugna , Yang Shuai , Chen Chiyin
Published: February 2025

Strategic human resource management plays a crucial role in fostering long-term organizational performance through data-driven decision-making. Human Resource Analytics (HRA), using advanced business intelligence and integrated reporting tools, provides insights that optimize decision-making and strategy alignment. Despite its potential, the impact of HRA on organizational performance remains insufficiently explored. This study addresses this gap by examining the effects of HRA on organizational performance in Ethiopian organizations. A quantitative research design was employed, utilizing a survey method to collect data from 269 valid responses across 55 organizations in Addis Ababa, Ethiopia. Structural Equation Modeling (SEM) via SmartPLS 3.0 software was used for data analysis. The findings reveal that HRA significantly enhances organizational performance, with this relationship mediated by strategic alignment between HR and organizational goals. Additionally, firm size was found to moderate the impact of HRA on performance, with larger firms deriving greater benefits. The results suggest that HRA serves as a powerful driver of enhanced organizational performance, with larger firms potentially reaping even greater benefits from its implementation. These results also underscore the importance of strategic alignment in leveraging HRA for improved performance, particularly in the context of Ethiopian organizations, where HRA adoption is still evolving. This study offers practical implications for organizations seeking to enhance workforce management and performance through data-driven HR strategies.
Systematic Generation and Evaluation of Synthetic Production Data for Industry 5.0 Optimization
Authors: Liaskovska Solomiia , Tyskyi Sviatoslav , Martyn Yevgen , Augousti Andy T. , Kulyk Volodymyr
Published: February 2025

Our research focused on analyzing and advancing information technologies to identify ecological parameters in production. The primary goals were to enhance efficiency, reduce waste, and minimize the environmental impact of manufacturing processes. By incorporating the results of the study, we observed and systematized changes occurring in the transition from Industry 4.0 to Industry 5.0. Special attention was given to studying processes and technologies related to the generation of synthetic data and analyzing the implementation of cutting-edge technologies. The research object includes new parameters introduced within the framework of Industry 5.0, encompassing automation and cognitive technologies. Our scientific interests also extended to synthetic data used in modeling various production processes, including optimizing device performance in manufacturing and forecasting abnormal situations in industrial equipment operations. The subject of the research involves algorithms for generating synthetic data and methods for validating them to ensure their statistical similarity to real-world data. During the study, we also analyzed the impact of artificial intelligence implementation on improving the efficiency and adaptability of manufacturing systems.
Computer-Assisted Evaluation of Zygomatic Fracture Outcomes: Case Series and Proposal of a Reproducible Workflow
Authors: Benedetti Simone , Frosolini Andrea , Cascino Flavia , Pignataro Laura Viola , Franz Leonardo , Marioni Gino , Gabriele Guido , Gennaro Paolo
Published: February 2025

Background: Zygomatico-maxillary complex (ZMC) fractures are prevalent facial injuries with significant functional and aesthetic implications. Computer-assisted surgery (CAS) offers precise surgical planning and outcome evaluation. The study aimed to evaluate the application of CAS in the analysis of ZMC fracture outcomes and to propose a reproducible workflow for surgical outcome assessment using cephalometric landmarks. Methods: A retrospective cohort study was conducted on 16 patients treated for unilateral ZMC fractures at the Maxillofacial Surgery Unit of Siena University Hospital (2017–2024). Inclusion criteria included ZMC fractures classified as Zingg B or C, treated via open reduction and internal fixation (ORIF). Pre- and post-operative CT scans were processed for two- and three-dimensional analyses. Discrepancies between CAS-optimized reduction and achieved surgical outcomes were quantified using cephalometric landmarks and volumetric assessments. Results: Out of the 16 patients (69% male, mean age 48.1 years), fractures were predominantly on the right side (81%). CAS comparison between the post-operative and the contralateral side revealed significant asymmetries along the X and Y axes, particularly in the fronto-zygomatic suture (FZS), zygo-maxillary point (MP), and zygo-temporal point (ZT). Computer-assisted comparison between the post-operative and the CAS-simulated reductions showed statistical differences along all three orthonormal axes, highlighting the challenges in achieving ideal symmetry despite advanced surgical techniques. CAS-optimized reductions demonstrated measurable improvements compared to traditional methods, underscoring their utility in outcome evaluation. Conclusions: CAS technology enhances the precision of ZMC fracture outcome evaluation, allowing for detailed comparison between surgical outcomes and virtual simulations. Its application underscores the potential for improved surgical planning and execution, especially in complex cases. Future studies should focus on expanding sample size, refining workflows, and integrating artificial intelligence to automate processes for broader clinical applicability.
Geocoding Applications for Enhancing Urban Water Supply Network Analysis
Authors: Orgoványi Péter , Hammer Tamás , Karches Tamás
Published: February 2025

Geospatial tools and geocoding systems play an increasingly significant role in the modernization and operation of municipal water utility networks. This research explored how geocoding systems could improve network management, facilitate leak detection, and enhance hydraulic modeling accuracy. Various geocoding services, including Google, Bing Maps, and OpenStreetMap APIs were analyzed using address data from a small Central European municipality. The analysis was performed in February and March of 2024. The accuracy and efficiency of these systems in handling spatial data for domestic water networks were assessed and results showed that geocoding accuracy depended on the quality of the service provider databases and the formatting of input data. Google proved the most reliable, while Bing and OpenStreetMap were less accurate. Additionally, the Location Database developed by Lechner Knowledge Center was used as a reliable local reference for comparison with global services. Geocoding results were integrated into GIS softwares (Google Earth ver. 7.3.6.9796, QGIS ver. 3.36, ArcGIS ver 10.8.2) to enable spatial analysis and comparison of geographic coordinates. The findings highlight geocoding’s critical role in efficient water network management, particularly for mapping consumer data and rapidly localizing leaks and breaks. Our findings directly support hydraulic modeling tasks, contributing to sustainable operations and cost-effective interventions.
Effect of Exportin 1/XPO1 Nuclear Export Pathway Inhibition on Coronavirus Replication
Authors: Rahman Masmudur M. , Estifanos Bereket , Glenn Honor L. , Gutierrez-Jensen Ami D. , Kibler Karen , Li Yize , Jacobs Bertram , McFadden Grant , Hogue Brenda G.
Published: February 2025

The nucleocytoplasmic transport of proteins using XPO1 (exportin 1) plays a vital role in cell proliferation and survival. Many viruses also exploit this pathway to promote infection and replication. Thus, inhibiting the XPO1-mediated nuclear export pathway with selective inhibitors has a diverse effect on virus replication by regulating antiviral, proviral, and anti-inflammatory pathways. The XPO1 inhibitor Selinexor is an FDA-approved anticancer drug predicted to have antiviral or proviral functions against viruses. Here, we observed that the pretreatment of cultured cell lines from human or mouse origin with the nuclear export inhibitor Selinexor significantly enhanced the protein expression and replication of mouse hepatitis virus (MHV), a mouse coronavirus. The knockdown of cellular XPO1 protein expression also significantly enhanced the replication of MHV in human cells. However, for SARS-CoV-2, Selinexor treatment had diverse effects on virus replication in different cell lines. These results indicate that XPO1-mediated nuclear export pathway inhibition might affect coronavirus replication depending on cell types and virus origin.
Correction: Patel et al. Application of the Weighted Arithmetic Water Quality Index in Assessing Groundwater Quality: A Case Study of the South Gujarat Region. Water 2023, 15, 3512
Authors: Patel Divya D. , Mehta Darshan J. , Azamathulla Hazi M. , Shaikh Mohdzuned Mohmedraffi , Jha Shivendra , Rathnayake Upaka
Published: February 2025

There was an error in the original publication [...]
The Toppling Deformation and Failure Criteria of a Steep Bedding Rock Slope—The Case of a Bank Slope at the Duonuo Hydropower Station
Authors: Li Tiantao , Li Xuan , Wei Kaihong , Guo Jian , Heng Xi , Yuan Jing , Ran Weiling , Pei Xiangjun
Published: February 2025

In this study, statistical analysis was conducted to categorize a large number of actual typical cases and analyze the formation conditions of toppling deformation in bedding rock slopes. Based on geological prototypes and similarity theory, a bottom friction test was conducted on the toppling deformable body while considering the excavation process. Based on the deformation and failure phenomena observed in the bottom friction test model, along with the displacement curves at key points, the deformation process in steep bedding rock slopes can be divided into the following five distinct stages: the initial phase, the unloading–rebound phase, the tensile failure phase, the bending creep phase, and the bending–toppling damage phase. To evaluate the stability, a new constitutive model of the nonlinear viscoelastic–plastic rheology of rock masses was developed. This model is based on a nonlinear function derived from analyzing the creep test data of rock masses under fractional loading. Furthermore, a mechanical equilibrium differential equation for rock slabs was formulated to quantitatively describe the aging deformation and failure processes of slopes with delayed instability. Finally, a stability criterion and a quantitative evaluation model for toppling deformation slopes that considered time-varying factors were established. The stability of the model was calculated using a hydropower station slope case, and the results were found to be in good agreement with the actual situation.
Wind Turbine Aerodynamics Simulation Using the Spectral/hp Element Framework Nektar++
Authors: Abedi Hamidreza , Eskilsson Claes
Published: February 2025

Wind power plays an increasingly vital role in sustainable energy development. However, accurately simulating wind turbine aerodynamics, particularly in offshore wind farms, remains challenging due to complex environmental factors such as the marine atmospheric boundary layer. This study investigates the integration and assessment of the Actuator Line Model (ALM) within the high-order spectral/hp element framework, Nektar++, for wind turbine aerodynamic simulations. The primary objective is to evaluate the implementation and effectiveness of the ALM by analyzing aerodynamic loads, wake behavior, and computational demands. A three-bladed NREL-5MW turbine is modeled using the ALM in Nektar++, with results compared against established computational fluid dynamics (CFD) tools, including SOWFA and AMR-Wind. The findings demonstrate that Nektar++ effectively captures velocity and vorticity fields in the turbine wake while providing aerodynamic load predictions that closely align with finite-volume CFD models. Furthermore, the spectral/hp element framework exhibits favorable scalability and computational efficiency, indicating that Nektar++ is a promising tool for high-fidelity wind turbine and wind farm aerodynamic research.
Carbon Productivity’s Impact on Company's Financial Performance (Case Study of Companies Listed on IDX80 Stock Index)
Authors: Tehananda Djie Liveren Adjie , Robiyanto  , Harijono Harijono
Published: February 2025

Objective: Environmental issues are a concern, especially global warming. One of the consequences of global warming is a significant increase in carbon emissions each year. However, investors are trying to understand whether increased carbon also improves companies' financial performance. This study seeks to investigate the influence of carbon productivity on the company’s financial performance (case study of companies listed on the IDX80 index). Research Design & Methods: This research uses a quantitative method with secondary data taken from the company's annual and sustainability reports from 2020 to 2023. The sampling method used is the purposive sampling method. The sample used in this research was 80 companies listed on the IDX80 Index. Panel Data Regression Analysis is used to analyze the data. Findings: The findings of the study indicated carbon productivity has no significant effect on company financial performance, whether measured through ROA or MBR On the other hand, when control variables are added, they have a significant effect on the company's financial performance as measured through ROA. Implications and Recommendations: From these findings, stakeholders, investors and financial managers in the Indonesian capital market can help in making investment decisions, especially regarding the influence of carbon productivity on financial performance and for stakeholders. Contribution & Value Added: This study adds value to the practice of finance that seeks to see that companies that disclose higher carbon emissions will affect the company's financial performance in the context of developing countries, especially Indonesia.
Integrating Multiplex Heterogeneous Network for Knowledge Tracing
Authors: Qiu Liqing , Sun Si’ao
Published: February 2025

Knowledge Tracing (KT) predicts the probability of a student answering the subsequent question correctly based on their past performance, providing an assessment of the mastery of underlying concepts. However, the sparsity of interaction data in KT poses challenges, leading most models to represent questions using concepts and overlooking specific question information. Although the existing graph structure between concepts and questions considers both questions and concepts, current methods predominantly focus on homogeneous or heterogeneous graphs, presupposing a singular edge type linking nodes and neglecting the diverse feature paths within a multiplex heterogeneous network. Addressing these obstacles, the present study presents a model known as Integrating Multiplex Heterogeneous Network for Knowledge Tracing (MHNKT). Treating students and questions as two distinct types of nodes, they are connected through incorrect and correct interactions to construct a multiplex heterogeneous network for student-question. Employing multiplex Heterogeneous Graph Neural Networks (HetGNN), the model learns question representations from heterogeneous node aggregation and multi-type edge aggregation. Additionally, to address the many-to-many relationships between questions and concepts, the question-concept graph is input into a two-layer Graph Convolutional Network (GCN) for acquiring question representations. Results from experiments on four real datasets indicate that the MHNKT model outperforms the baseline model in terms of performance
Adaptive Software Development: A Comprehensive Framework Integrating Artificial Intelligence for Sustainable Evolution
Authors: Soureya Yaya Gadjama , Amougou Ngoumou , Moskolai Ngossaha Justin , Bowong Tsakou Samuel , Fouda Ndjodo Marcel
Published: February 2025

This research presents an innovative methodological framework for software development that integrates Artificial Intelligence (AI) techniques, Software Product Lines (SPL), and Lehman’s [24] aging factors. The main objective is to improve the efficiency and adaptability of design processes for residential spaces through intelligent automation. This framework covers the entire software development life cycle, utilizing AI algorithms to optimize design and respond to the evolving needs of users while maximizing resource usage. A case study on a connected home concretely illustrates the application of this framework, demonstrating its effectiveness in creating dynamic and personalized designs. Furthermore, it addresses the issue of software sustainability by incorporating aging laws throughout their life cycle, an aspect often overlooked in existing solutions. By combining product line engineering and AI techniques, this framework offers a structured approach that promotes both sustainability and personalization. It has the potential to transform practices across various sectors, such as healthcare, finance, and education, while fostering a culture of sustainable innovation. However, its effectiveness also depends on the skills and experience of development teams, highlighting the importance of considering human factors in its application
Enterprise Employee Work Behavior Recognition Method Based on Faster Region-Convolutional Neural Network
Authors: Zhang Lu
Published: February 2025

The original Faster Region-Convolutional Neural Network (R-CNN) model based on Convolutional Neural Network (CNN) is not effective enough to solve the challenge of identifying employee work behavior data sets. To overcome this limitation, an innovative optimization strategy is proposed in this paper. First, we replace the traditional Visual Geometry Group (VGG) network with a Residual Network (ResNet) to ensure that the features extracted from the image are more comprehensive and detailed. Then, multi-scale feature fusion technology combined with Convolutional Block Attention Module (CBAM) is used to predict the multi-layer feature layers and further strengthen the fused feature maps. This method makes the feature map contain both high-level semantic information and low-level detail information, and provides a richer feature description for small size targets. In order to further improve the accuracy of target detection, Regional of Interest (ROI) align technology is selected to replace the traditional ROI pooling method. Through these improvements, an enhanced version of Faster R-CNN algorithm is successfully constructed. In comparison experiments, the performance of the improved Faster R-CNN algorithm is evaluated against Support Vector Machine (SVM), Extreme Learning Machine (ELM), Single Shot MultiBox Detector (SSD) and the original Faster R-CNN algorithm. The results show that under the condition of similar recognition speed, the improved Faster R-CNN shows significant advantages in recall rate, accuracy rate and accuracy rate. Specifically, the processing time of the algorithm is kept within 0.40 seconds, and the accuracy and accuracy of the algorithm have reached a high level of more than 90%
Stephen Dedalus and Contemporary Youth: A Comparative Study of Identity, Rebellion and the Quest for Freedom in a Changing World
Authors: Rasheeda C. T.
Published: February 2025

James Joyce’s A portrait of the artist as a Young Man, focuses on hardships and goals of young individuals. In this paper through Stephen’s journey we goes through similarities of his life and challenges faced by contemporary youth. Both struggle to overcome the complexities of identity formation, complaints of traditional education, search for intellectual freedom. When comparing to modern expression of individuality Stephen’s quest for artistic autonomy this paper highlight the relevance of Joyce’s protagonist. The novel is highly experimental. When we compare Stephen’s quest for identity to modern individuality like social media activities and their creativity using technology. This paper highlight the relevance of Stephen Dedalus. Through this comparative analysis we get an insight into the dynamics of youth, education and society.
The Role of Art Education in Holistic Development
Authors: Jesima Banu M. , Shobana S.
Published: February 2025

Art education helps people develop cognitive, emotional, social, and creative skills. This study examines how art can increase critical thinking, problem-solving, emotional intelligence, cultural knowledge, and empathy. Art transforms people into well-rounded people, according to this research. It uses several educational environments and development philosophies. This study examines how art education affects children’s personal and social development. Mixed-methods study involves questionnaires, interviews, and classroom observations. The findings show that frequent exposure to artistic practices promotes mental well-being, self-expression, and teamwork, making education more holistic. According to the report, art education is not just an extracurricular activity but an integral part of a well-rounded education. It promotes its integration into regular education to create adaptable, empathetic, and innovative people who can handle the challenges of a changing world.
Smart Contracts ¿Cómo automatizar las contrataciones en Bolivia?
Authors: Uría Vacaflores Sebastián
Published: February 2025

La tecnología ha sido crucial para la transformación de la sociedad, agilizando el satisfactorio cumplimiento de necesidades. Aunque la sociedad actual disfruta de ventajas tecnológicas, diversos aspectos de la vida aún se están adaptando a las nuevas demandas de la "realidad electrónica". En este sentido, la digitalización del intercambio de bienes y servicios se torna fundamental para la sociedad, para lo cual los smart contracts se presentan como herramientas esenciales al objeto de desarrollar el comercio en un país. La inclusión de estos contratos en un país como Bolivia podría brindar grandes beneficios al desarrollo económico y la transparencia y dinamismo de las contrataciones. Sin embargo, para poder lograr esto, primero es esencial entender qué son los smart contracts, cómo funcionan y cómo pueden ser incorporados al ordenamiento jurídico de un país.
Ponderación y diálogo intercultural. Jurisprudencia y práctica del Tribunal Constitucional Plurinacional
Authors: Rojas Tudela Farit
Published: February 2025

El Tribunal Constitucional Plurinacional (TCP) ha establecido mediante la Sentencia Constitucional Plurinacional (SPC) 1422/2012 y SCP 0722/2018 S4, el llamado “test del paradigma del vivir bien”, en el cual ha establecido los criterios para un diálogo e interpretación intercultural de los derechos y las condiciones para una ponderación intercultural de derechos, que presenta una apropiación de la técnica de la ponderación propia de la corriente denominada post-positivismo; sin embargo, esta apropiación excede la matriz de racionalidad moderna de esta técnica y habilita la posibilidad de una comprensión distinta de la ponderación desde los márgenes de la llamada “traducción intercultural”. El presente artículo parte de una revisión teórica de las condiciones de la ponderación y, en particular, la ponderación intercultural, a partir de la revisión de las sentencias del TCP que han desarrollado (en parte) el “test del paradigma del vivir bien”; asimismo, los hallazgos se matizan con conversaciones que son resultado de entrevistas no estructuradas llevadas a cabo con funcionarios de la Secretaría Técnica y Descolonización del TCP, respecto al alcance y desarrollo del diálogo intercultural, que es condición necesaria para la interpretación y la ponderación intercultural.
O Porto Carioca e a Renda da Terra:
Authors: Serodio Breno , Bretas Vicente
Published: February 2025

The Porto Maravilha Project, currently underway in the port area of Rio de Janeiro, is one of the most striking expressions of contemporary strategic planning or neoliberalism in Brazil. This article aims to understand this initiative in light of the theory of land rent, with the objective of identifying the different forms through which land rent can be observed within the scope of the subject. Thus, it returns to fundamental categories of Marxist thought to define the three forms of land rent conceptualized by Marx (2017) and revisited by Harvey (2005; 2015). The Porto Maravilha Project is framed as a process that enhances the generation and extraction of land rent in the urban space of Rio de Janeiro. However, ultimately, none of the three forms of rent—differential, absolute, and monopoly—manifest themselves purely in the concrete plan.
Efeito das características físicas e da cobertura do solo na vazão e turbidez de nascentes sob diferentes abordagens estatísticas
Authors: Barros Rodrigues Vinicius , Braga Capetine Thales , Tamiozzo Pereira Torres Fillipe
Published: February 2025

The lack of proper planning and disorderly land use significantly impacts natural resources, especially water. The increase in data volume to address complex challenges, such as protecting and enhancing water resource availability, introduces potential issues like overfitting and multicollinearity during analyses. Therefore, this study aimed to employ different statistical methods to mitigate these issues, examining the effects and influences of environmental factors and soil physical characteristics on the flow and turbidity of 82 springs. Various approaches were utilized, including Random Forest and Akaike Information Criterion, both proving consistent concerning the analyzed variables. Arboreal coverage showed a stronger correlation with increased flow, while shrub coverage favored higher turbidity. Shrub coverage can facilitate surface runoff, contributing to increased flow turbidity. The vegetation coverage (arboreal and shrub) may have favored water infiltration processes, enhancing flow. The provided results have the potential to play a crucial role in guiding best practices in data analysis and strategies for the recovery and protection of springs.
Aplicación de la estrategia de estados mediante la ingeniería didáctica
Authors: Reyes Cabrera Neptali Antony , Morales Bedoya Marco Antonio , Damián Núñez Edgar Froilán , Damián Núñez Nalda Guadalupe
Published: February 2025

El presente estudio tiene como objetivo mostrar la aplicación de la Estrategia de Estados a través de la Historia de las Matemáticas (EEHM) en estudiantes universitarios de primer ciclo. Dicha estrategia consiste en integrar las actividades matemáticas en el aula con el desarrollo histórico de esta disciplina. Su implementación se estructura en una serie de pasos diseñados para facilitar el aprendizaje de las matemáticas en los estudiantes. Desde este enfoque didáctico, los alumnos adquieren conocimientos sobre conceptos, definiciones y manipulación de objetos matemáticos, además de fortalecer su pensamiento lógico y razonamiento matemático dentro de un marco sustentado en la historia de esta ciencia. La investigación se llevó a cabo con una muestra de 23 estudiantes de primer ciclo de la Universidad Continental, sede Lima, durante el año 2022, quienes constituyeron la población de estudio. El diseño metodológico utilizado fue el de ingeniería didáctica, una variante del enfoque preexperimental. Para evaluar el impacto de la estrategia, se aplicaron cuestionarios con siete preguntas por cada tema abordado. Los resultados evidencian que la EEHM favorece un aprendizaje más eficiente, dado que los estudiantes demostraron una mayor capacidad para resolver problemas matemáticos. Se concluye que la aplicación de esta estrategia genera una disposición más positiva hacia la resolución de problemas, tanto dentro como fuera del ámbito matemático.
Effect of contact force on diode characteristics of Rh/epitaxial graphene/n-SiC
Authors: Nabemoto Asato , Ohno Yasuhide , NAGASE Masao
Published: February 2025

The contact force dependence of the electrical characteristics of metal/epitaxial graphene/n-SiC diodes was investigated using conductive contact-mode scanning probe microscopy (SPM) with a Rh-coated conductive nano probe. Graphene nano-islands formed by the thermal decomposition method were used. The measured electrical characteristics showed excellent rectification behavior. The on-off ratio improved with increasing contact force. The estimated Schottky barrier height decreased with increasing contact force. In the low contact force regime (< 100 nN), Fowler-Nordheim tunneling (FNT) phenomena were observed, as the carbon layers (graphene and buffer layer) acted as a tunneling barrier.
Recognition of optical patterns directly irradiated to a three-dimensional silver sulfide physical reservoir
Authors: Ohno Yuki , Tanaka Hirofumi , HASEGAWA Tsuyoshi
Published: February 2025

In recent years, physical reservoirs have garnered attention for their low power consumption and computational cost. Among them, three-dimensional materials have been shown to enhance performances in nonlinear transformation and short-term memorization compared to two-dimensional materials. While two-dimensional physical reservoirs have been used to demonstrate various applications, such studies using three-dimensional physical reservoirs remain limited. In this study, we demonstrated the ability to recognize optical patterns directly irradiated to a three-dimensional silver sulfide reservoir. The three-dimensionalization enabled simultaneous irradiation and recognition of optical patterns to different sides. In this task, we achieved over 80% accuracy on average for 16-pattern classification, demonstrating the potential application of three-dimensional physical reservoirs.
«Et un vergier qui fu de pris / i avoit d’eve et d’air enclos». Giardini incantati nell’Erec et Enide e nel Lai de l’oiselet (e altrove)
Authors: Favaretto Niccolò Antonio
Published: February 2025

The author investigates the implications underlying the reprise of the enchanted garden as the setting for the story narrated in the Lai de l’oiselet and the final duel in Chrétien de Troyes’ Erec et Enide. Through comparison with other works, the main reason for this reprise is found in the character that the vergier takes on as an ‘other’ dimension, functional to the promotion of harmony between love, chivalry and community.
«Roma, quondam orbis caput, nunc nudum nomen et fabula»: rovine materiali e morali nel De situ urbis veteris et inclyte urbis Rome di Pier Paolo Vergerio
Authors: Piccolo Martina
Published: February 2025

The present contribution aims to investigate the sources used by Vergerio in De situ veteris et inclyte urbis Rome, an unfinished treatise of a topographical and archaeological-antiquarian nature. In the wake of Petrarch - the true proponent of the topos of the ‘memory of Rome’ - Vergerio offers the reader a far from sweetened representation of the Urbe. Of particular interest is the relationship with sources, especially the Mirabilia urbis Romae, from which the descriptions of the city gates are taken, for example. De situ is also based on Vergerio’s reading of other authors such as Paolo Diacono, Martino Polono and Petrarch, whom he approaches through an original yet critical approach, with the aim of refuting some medieval beliefs about the main sights of the city of Rome.
Rancang Bangun Dashboard Manajemen Arsip Data Berbasis Web dengan Metode Extreme Programming (XP)
Authors: Suryadi Agus , Suri Ghea Paulina , Herasmus Hilda , Putra Panji Priantono
Published: February 2025

Pengelolaan arsip yang efisien merupakan aspek penting dalam operasional perusahaan, terutama dalam divisi Merchandising di PT. Indomarco Prismatama. Sistem pengarsipan manual yang digunakan sebelumnya menghadapi berbagai kendala, seperti kesulitan pencarian dokumen, keterbatasan akses, serta risiko kehilangan atau kerusakan data. Oleh karena itu, penelitian ini bertujuan untuk merancang dan mengembangkan Dashboard Manajemen Arsip Data Berbasis Web menggunakan metode Extreme Programming (XP) guna meningkatkan efisiensi pengelolaan arsip.Sistem ini dibangun menggunakan framework Laravel dan database MySQL, dengan fitur utama seperti pengelolaan arsip digital, pencarian cepat, serta akses berbasis hak pengguna. Perancangan sistem dilakukan dengan pendekatan Use Case Diagram, Activity Diagram, dan Class Diagram, sedangkan pengujian menggunakan metode black box testing untuk memastikan fungsionalitas sistem sesuai dengan kebutuhan.Hasil penelitian menunjukkan bahwa sistem ini mampu meningkatkan kecepatan pencarian arsip, keamanan data, serta efisiensi koordinasi antar pengguna. Dengan demikian, sistem ini dapat menjadi solusi efektif dalam pengelolaan arsip perusahaan. Pengembangan lebih lanjut dapat mencakup fitur backup otomatis dan integrasi dengan sistem internal lainnya.
Specific composition of raspberry herbivorous pest in the Сentral Forest Steppe of Ukraine
Authors: Kava L. , Kucher L. , Sikalo O. , Kucher T.
Published: February 2025

Goal. To study the species composition of herbivorous pests and to determine the dominant species on raspberry.
Methods. The research was conducted in the Forest Steppe of Ukraine during 2023—2024 years. Clarification of the species composition of herbivorous pests was carried out according to generally accepted methods. Insects were identified using markers. To study the species composition of raspberry herbivorous pests research methods generally accepted in entomology were used: mowing with an entomological net, visual inspection of plants, soil samples.
Results. The insects that were discovered during the research belong to 5 orders (Coleoptera, Hemiptera, Diptera, Hymenoptera and Lepidoptera). Oder Coleoptera, which included 6 species from 4 families, was characterized by the greatest species diversity. The analysis of the species composition of raspberry herbivorous pests based on feeding relationships showed that this culture is dominated by polyphages — 9 species, but the main damage is caused by 2 types of oligophages.
Conclusions. According to the results of the monitoring of the entomocomplex of raspberry in the Central Forest Steppe of Ukraine, 14 species of pests from 5 oders were found. Analysis of their species composition shows that representatives of the order Coleoptera dominated — 43%. It has been established that the most dangerous pests that cause significant damage in the Forest Steppe are a complex of pests of generative organs: the raspberry beetle (Byturus tomentosus F.) and the raspberry strawberry weevil (Anthonomus rubi Hrbs.).
Monitoring of the phytosanitary state of grape plantations in the south of Ukraine in 2022—2024
Authors: Klechkovskyi Yu. , Mohyliuk N. , Shmatkovska K. , Tsurkan R.
Published: February 2025

Goal. The protection of vineyards is based on monitoring, which provides early detection, assessment of the degree of infection and forecasting of future populations of pests, which increases the chances of avoiding economic losses from them. Phytosanitary monitoring in regulating the intensity of development and spread of phytopathogenic organisms is of undoubted economic and environmental importance.
Methods of the work was to study the peculiarities of the spread and development of harmful objects and weeds in the vineyards of the South of Ukraine. The main research methods were: field — to determine the distribution, development and harmfulness of the main harmful objects of vineyards and weeds; laboratory — to study pathogens of grape diseases; visual and mathematical-statistical. The objects of monitoring were grape plantations of different planting dates and varietal assortment.
Results. Field surveys in 2022—2024 revealed the spread and development of Plasmopara viticola Berl. et Toni and Uncinula necator Berk. on grape plantations in the South of Ukraine. It was found that the most favorable for Plasmopara viticola Berl. et Toni was the vegetation period of 2024, when a high degree of disease development was observed on the inflorescences and the spread in untreated areas was almost 80%, with the development of the disease 20%. It was determined that during the years of research the conditions were favorable for the manifestation of Uncinula necator Berk., the highest percentage of distribution was observed at the end of the growing season on the clusters and reached 60%, with 30% development. Pheromone monitoring conducted during the study period revealed the dynamics of Lobesia botrana Schiff. population development, the timing and duration of all stages of the pest. Observations showed a different number of males of the first generation of the butterfly per trap. The largest number of males, compared to 2023—2024, was recorded in 2022. It was found that a mixed type of weediness is observed in vineyards, namely, root and rhizome perennials, which are the most widespread and harmful weed species. 
Conclusions. The results of the research conducted in 2022—2024, taking into account the phytosanitary condition of vineyards in the following years, provide the basis for the development of a system of protective measures for further implementation in the technology of grape growing.
Expansion of the range of the adventive species Metcalfa pruinosa Say (citrus cicada) in Ukraine
Authors: Klechkovskyi Yu. , Titova L. , Bondareva L.
Published: February 2025

Goal. Determination of the possibility of further spreading of the adventitious insect species Metcalfa pruinosa (Say) in Ukraine using modern computer programs: AgroAtlas, MapInfo Pro15.0 (ESTIMap®) та IDRISI SELVA (Clarklabs®).
Methods. Computer programs AgroAtlas, MapInfo Pro15.0 (ESTIMap®) and IDRISI SELVA (Clarklabs®), which allow for automated creation of predictive maps of the spread of adventitious organisms.
Results. According to our modeling, it was found that climatic conditions throughout Ukraine meet the species’ habitat requirements in terms of a number of indicators: the sum of active temperatures, long-term average annual temperature, long-term average annual temperatures of the coldest (January) and warmest (July) months, and average annual precipitation. The model analysis shows that the potential range of M. pruinosa can be the entire territory of Ukraine, due to the presence of a large range of host plants and the compliance of climatic conditions with the requirements of the species.
Conclusions. The citrus cicada is well adapted and reproduces on various wild and ornamental plants that serve as reserves for it. Existing phytosanitary measures cannot reliably prevent the risk of M. pruinosa spreading in Ukraine. It is necessary to develop a pest control system to prevent further spread and reduce the damage caused by the pest. The inclusion of M. pruinosa in the list of regulated non-quarantine organisms of the List of Regulated Pests of Ukraine may be an effective risk management measure.
Innovative component of the spread of organic farming in the context of the implementation of the concept of sustainable development on the example of the Southern region of Ukraine
Authors: Kuznietsova M. , Labunska O.
Published: February 2025

Goal. To analyze the role of the innovation component in the development of organic farming as one of the areas that contributes to the achievement of global sustainable development goals on the example of the Southern region of Ukraine.
Methods. General scientific methods were used — analysis and synthesis, comparison, scientific abstraction, generalization, graphic research methods. To reveal the topic of the article, the authors developed survey forms and conducted a survey of higher education institutions and scientific institutions of the agro-industrial sector of the Southern region of Ukraine regarding the features, effectiveness and financing of their research activities in the agricultural sector.
Results. Sustainable development goals and the role of organic production in their realization, the current state of organic production in European countries in terms of the growth of organic land over the past 10 years and the number of organic operators were analyzed. The author has collected relevant data on the development of organic production in the regions of Ukraine. It is proved that this area of agricultural activity is knowledge-intensive, and its spread is based on strengthening the innovation component. The data for 2023 for the Southern region of Ukraine are analyzed according to the following indicators: the number of researches conducted for the agro-industrial complex; results of research implementation in the agro-industrial complex; uniqueness of research results; availability of elements of innovation and research infrastructure; sources of funding for research carried out by higher education institutions (HEIs) and scientific institutions of the agricultural sector. The author proves the need to strengthen state support for the agro-industrial sector in order to stimulate the development of organic production by increasing budgetary funding for research in this area.
Conclusions. Based on the survey conducted in higher education institutions and scientific institutions of sectoral subordination in the Southern region of Ukraine, the authors concluded that the availability of a certain number of scientific developments and innovative proposals with a high scientific level and their implementation in the agro-industrial sector will be the key to the accelerated development of organic production as a priority method of agriculture in our country.