bluuebunny/crossref_metadata_2025 huggingface dataset:
The Innovative XClinic Tool: A Pilot Study Validating Its Precision in Measuring Range of Motion in Healthy Individuals
Authors: Galeoto Giovanni , Ruotolo Ilaria , Sellitto Giovanni , Amadio Emanuele , Di Sipio Enrica , La Russa Raffaele , Volonnino Gianpietro , Frati Paola
Published: February 2025

Background: Kinematics experts and physical therapists have implemented the use of sensors for 3D motion analysis, both for static and dynamic movements. XClinic movement sensors are advanced devices designed to analyze movement patterns with high precision. The aim of this study was to validate wearable XClinic sensors for range of motion (ROM) in healthy subjects and obtain normative data. Participants were enrolled at the Sapienza University of Rome in 2024. All participants had to be healthy subjects aged between 18 and 65 years. Data on their demographics, employment and physical activity were collected. All the subjects were tested to assess the active ROM of their shoulder, hip, knee and ankle bilaterally. The same movements were tested using a goniometer to investigate validity, and SF-36 was administered. Fifty subjects were enrolled. The mean age was 28.2 (SD 10.8) years. For the left shoulder, construct validity showed statistically significant values for flexion, extension and extra-rotation, while for the right shoulder, construct validity showed statistically significant values for all movements except intra-rotation. The results concerning the right hip showed statistically significant values for flexion, extra-rotation, intra-rotation and adduction. The left hip showed statistically significant values for all movements except extension. Both the right and left knees showed statistically significant values for flexion. Both the right and left ankles showed statistically significant values for all movements. XClinic sensors offer a reliable and valid solution for the precise monitoring of the ROM of the shoulder and lower limb joints, making them an invaluable asset for clinicians and researchers.
An Improved Kernel Entropy Component Analysis for Damage Detection Under Environmental and Operational Variations
Authors: Hu Shuigen , Yang Jian , Huang Jiezhong , Li Dongsheng , Li Cheng
Published: February 2025

Environmental effects often trigger false alarms in vibration-based damage detection methods used for structural health monitoring (SHM). While conventional techniques like Principal Component Analysis (PCA) and cointegration have been somewhat effective in addressing this issue, challenges such as measurement noise, nonlinear behavior, and non-Gaussian data distribution continue to affect their performance. To address these limitations, a novel damage detection method combining Variational Mode Decomposition (VMD) and Dynamic Kernel Entropy Component Analysis (DKECA) is proposed. The proposed method initially uses the VMD technique to remove seasonal patterns and noise from the modal frequencies. Subsequently, a DKECA model is constructed based on a time-delay data matrix, and the principal components that maximize the Rényi entropy in the high-dimensional space are selected. Using these principal components, a damage detector developed from the T2 statistic is used to determine damage indices for SHM. The effectiveness of the proposed method is verified through both a simulated 7-DOF model and real-world data from the Z24 bridge, with comparative studies highlighting its advantages over existing techniques.
HCT-Det: A High-Accuracy End-to-End Model for Steel Defect Detection Based on Hierarchical CNN–Transformer Features
Authors: Chen Xiyin , Zhang Xiaohu , Shi Yonghua , Pang Junjie
Published: February 2025

Surface defect detection is essential for ensuring the quality and safety of steel products. While Transformer-based methods have achieved state-of-the-art performance, they face several limitations, including high computational costs due to the quadratic complexity of the attention mechanism, inadequate detection accuracy for small-scale defects due to substantial downsampling, inconsistencies between classification scores and localization confidence, and feature resolution loss caused by simple upsampling and downsampling strategies. To address these challenges, we propose the HCT-Det model, which incorporates a window-based self-attention residual (WSA-R) block structure. This structure combines window-based self-attention (WSA) blocks to reduce computational overhead and parallel residual convolutional (Res) blocks to enhance local feature continuity. The model’s backbone generates three cross-scale features as encoder inputs, which undergo Intra-Scale Feature Interaction (ISFI) and Cross-Scale Feature Interaction (CSFI) to improve detection accuracy for targets of various sizes. A Soft IoU-Aware mechanism ensures alignment between classification scores and intersection-over-union (IoU) metrics during training. Additionally, Hybrid Downsampling (HDownsample) and Hybrid Upsampling (HUpsample) modules minimize feature degradation. Our experiments demonstrate that HCT-Det achieved a mean average precision (mAP@0.5) of 0.795 on the NEU-DET dataset and 0.733 on the GC10-DET dataset, outperforming other state-of-the-art approaches. These results highlight the model’s effectiveness in improving computational efficiency and detection accuracy for steel surface defect detection.
Deemed as ‘Distant’: Categorizing Unemployment in Sweden’s Evolving Welfare Landscape
Authors: Östling Maja
Published: February 2025

Over the past 30 years, Swedish labor market politics has swayed towards stronger workfare tendencies, emphasizing activation requirements for unemployed individuals to access welfare benefits. This process aligns with broader neoliberal reforms, fostering an individualistic view of unemployment characterized by personal responsibility for employability. In 2023, the Swedish Public Employment Service (PES) published a report addressing the needs of and solutions for long-term unemployed individuals ‘distant from the labor market’ (Sw. personer långt från arbetsmarknaden), marking the first formal use of this term as the main adhesive category in a political document. This paper examines the construction of the subject position ‘distant from the labor market’, investigating how it delineates and differentiates subgroups within the unemployed population, how this subgroup is understood in relation to other actors, and how discursive frameworks imbue this category with various meanings. Lastly, the paper discusses the categorization in relation to the current developments in the Swedish welfare system, arguing that the formalization of this category should be understood in relation to parallel political processes, such as proposals for a duty of activity for the unemployed, suggesting how this points to a way forward defined by neoliberal tendencies and welfare conditionality.
An Analytical Approach to Gear Mesh Dynamics for the Sustainable Design of Agricultural Machinery Drive Systems
Authors: Twardoch Krzysztof , Sierociński Damian
Published: February 2025

This research aims to advance the understanding and application of dynamic models for gears within agricultural machinery drive trains by developing analytical solutions. Despite the significant advancements in vibration analysis, there is a notable scarcity of comprehensive research that addresses the analytical modeling of gear dynamics, particularly using advanced mathematical techniques such as the multiple scale method (MSM). A new approach to modeling gear meshing is introduced, where the Fourier expansion of a rectangular signal is utilised to simulate the time-varying mesh stiffness (TVMS). Such an approach allows the use of the MSM as an efficient tool to obtain solutions for parametrically induced vibrations. A dynamic model of a simple helical gear system is introduced in the form of Hill’s equation, and a sensitivity analysis is conducted for the main parameters of the system based on the solution obtained with the MSM. The results show the high credibility of the provided method when compared with a well-known state-of-the-art model and that the model reacts to parameter variations as expected. Additionally, an analysis of the energy harvesting possibilities is presented, which shows that, for the default parameter values, the harvester should be tuned to 5694.31 Hz to generate the maximum energy. It is concluded that the proposed model and MSM approach can serve as suitable tools for gear analysis, and the future paths for research are defined.
Digital Economy and Environmental Sustainability: Analysis of Cross-Country Coordination
Authors: Gao Ling , Wen Hui
Published: February 2025

This paper calculates the level of digital economy development and the degree of economic and ecological integration in 100 countries from 2009 to 2022 using the entropy weight method and equal weight method. It empirically tests the impact, influencing mechanisms, and spatial effects of the digital economy on the integration of economy and ecology. Furthermore, it analyzes the coordination degree of the digital economy and economic–ecological integration across different continents using coupling coordination analysis. The research results are as follows: First, the digital economy has promoted the integrated development of economy and ecology in various countries, with a more significant effect in high-income and upper-middle-income countries. Countries with higher levels of digital economy development show a more pronounced promoting effect. Second, the digital economy can reduce energy consumption, promote the efficient utilization of clean energy, lower carbon emissions, and thus facilitate the integrated development of economy and ecology through industrial structure optimization and driving technological innovation. Third, a country’s digital economy has a positive spillover effect on the economic and ecological integration development of its neighboring countries. The coupling coordination analysis reveals that Europe has the highest coupling coordination degree of the digital economy and economic–ecological integration, with significant spatial autocorrelation. This is followed by the Americas, Asia, and Africa. Therefore, countries should actively promote digital economy development, strengthen digital economic cooperation, jointly address international environmental and climate issues, and promote the integration of economy and ecology.
Evaluating Perceptions of the Natural Environment in Relation to Outdoor Activities for a Healthy and Sustainable Life: A Delphi Methodological Approach
Authors: Buceta-Albillos Natividad , Ayuga-Téllez Esperanza
Published: February 2025

In recent years, many studies have been carried out regarding the benefits that nature could bring to people’s well-being. The research presented here applies the Delphi methodology to design a survey aimed at assessing the links between the natural environment, well-being and leisure, enriching the existing body of knowledge. Eighteen experts participated in this study with an integrated approach to sustainability terms. Two rounds of queries were put to the panel of experts between February and July 2021. In the first round, the experts identified the key aspects to be considered when studying the perception of natural environments related to well-being through outdoor activities. In the second query, the experts assessed the importance, relevance and clarity of the questions to be included in the survey. The survey was designed based on the results of these two rounds of queries. This methodology aims to gain a better understanding of the interrelation between people and the natural environment in order to determine the mechanisms by which a relationship with nature can improve people’s health, well-being and sustainable behaviours. The Delphi method could be employed for global research to validate this survey.
The Impact of Digital Infrastructure on Rural Household Financial Vulnerability: A Quasi-Natural Experiment from the Broadband China Strategy
Authors: Deng Yunke , Tao Haixin , Yao Bolun , Shi Xuezhu
Published: February 2025

A digital infrastructure has the potential to mitigate the digital exclusion in rural areas, offering a pathway to alleviate the financial vulnerability of rural households. This paper investigates the impact of the Broadband China pilot policy—an important government initiative—on rural household financial vulnerability, utilizing data from five waves of the China family panel studies (CFPS) spanning from 2012 to 2020. By leveraging the quasi-natural experiment provided by the Broadband China initiative, this study makes a novel contribution to understanding how a digital infrastructure affects financial sustainability in rural households. The findings show that the Broadband China pilot policy significantly reduces rural household financial vulnerability, with particularly strong effects on female-headed households, spousal-headed households, and those in regions with a limited traditional or advanced digital finance infrastructure. Further analysis reveals that a digital infrastructure enhances rural household financial resilience by increasing land transfer opportunities through an ‘income effect’ and by fostering non-farm employment and financial literacy through a ‘security effect’. This paper contributes to the literature by shedding light on the specific mechanisms through which a digital infrastructure enhances the financial sustainability of rural households and offers valuable insights into policies aimed at bridging the rural–urban divide.
Analysis of the Sustainable Development Pathway of Urban–Rural Integration from the Perspective of Spatial Planning: A Case Study of the Urban–Rural Fringe of Beijing
Authors: Zhang Anni
Published: February 2025

This study employs various comprehensive research methods to thoroughly analyze the relationship between urban–rural integration and sustainable development, proposing corresponding optimization pathways. First, a literature review method systematically examines existing theories on urban–rural integration and sustainable development. Then, it identifies the main problems and challenges in the current process of urban–rural integration, thereby laying a theoretical foundation for the study. Second, a case study approach is adopted, selecting Caoqiao Village in Fengtai District, Zhenggezhuang Village in Changping District, and Xihoujie Village in Majuqiao Town, Tongzhou District of Beijing, as typical cases. These cases are analyzed in depth to explore their implementation outcomes and validate the practical results of different development pathways. Subsequently, based on specific data from Beijing’s urban–rural fringe, this study utilizes data analysis methods to conduct an in-depth examination of land use changes, ecological environment status, and influencing factors, with a focus on analyzing relevant data from 2009 to 2023. This analysis reveals the dynamic relationship between urban–rural integration and sustainable development. Regression analysis is adopted to quantify the effect of urban–rural integration on sustainable development, thus exploring the correlation between urban–rural integration, spatial planning, economic development, financial development, and sustainable development. Finally, targeted management recommendations and policy optimization plans are proposed based on the principles of ecological protection red lines and urban development boundaries. The results indicate a significant positive correlation between urban–rural integration and sustainable development levels, with a regression coefficient of 0.48, demonstrating its role in promoting sustainable development. The levels of spatial planning and economic development also positively affect sustainable development, with coefficients of 0.32 and 0.27, respectively. Moreover, financial development and social investment levels show a certain positive relationship. It is noteworthy that although the correlation between foreign trade and sustainable development levels is the lowest, the interconnections between other variables further emphasize the key position of urban–rural integration in overall sustainable development. This study offers a theoretical basis and empirical support for spatial planning in the urban–rural fringe of Beijing, ecological environment protection, and scientific policy formulation, thus advancing sustainable urban development.
The Mapping of Global Plastic Pollution Research: A Bibliometric Analysis of the Progress and Thematic Trends
Authors: Yang Jun , Hu Xiaomei , Tan Fenglong
Published: February 2025

The rapid increase in human activity over the past few decades has led to the ubiquity of plastic pollution, causing irreversible damage. This affects sustainable development in terms of the land, sea, and atmosphere. However, we currently lack a comprehensive understanding of this issue. Therefore, in this study, based on 7899 relevant articles published in Web of Science and Scopus from 1974 to 2024, we use the R-tool knowledge mapping method to visualize the current status of global plastic pollution research; identify research hotspots and thematic trends; and summarize key elements in the field. We seek to provide governments, policymakers, and scholars with a comprehensive overview that highlights the issues in environmental science, emphasizing its importance and increasing our understanding of this field. This study indicates that significant international exchanges in plastic pollution research are centered in the UK, US, China, and Australia, with a global focus on prevention and control strategies. In addition, the inherent complexity and transboundary nature of plastic waste underscore the need for advanced technological solutions and extensive collaboration. In the future, the Plastic Pollution Research Center will prioritize technological advances and enhanced international cooperation to address the challenges of plastic pollution.
Application of Symmetric Neural Networks for Bead Geometry Determination in Wire and Arc Additive Manufacturing (WAAM)
Authors: Fernández-Zabalza Aitor , Veiga Fernando , Suárez Alfredo , Uralde Virginia , Sandua Xabier , Alfaro José Ramón
Published: February 2025

The accurate prediction of weld bead geometry is crucial for ensuring the quality and consistency of wire and arc additive manufacturing (WAAM), a specific form of directed energy deposition (DED) that utilizes arc welding. Despite advancements in process control, predicting the shape and dimensions of weld beads remains challenging due to the complex interactions between process parameters and material behavior. This paper addresses this challenge by exploring the application of symmetrical neural networks to enhance the accuracy and reliability of geometric predictions in WAAM. By leveraging advanced machine learning techniques and incorporating the inherent symmetry of the welding process, the proposed models aim to precisely forecast weld bead geometry. The use of neuronal networks and experimental validation demonstrate the potential of symmetrical neural networks to improve prediction precision, contributing to more consistent and optimized WAAM outcomes.
Bending Analysis of Symmetrical Porous Functionally Graded Sandwich Panels
Authors: Huang Zhicheng , Chen Yingjie , Wang Xingguo , Chu Fulei
Published: February 2025

The study of the mechanical behavior of functionally graded material (FGM) sandwich plates under thermo-mechanical loading is of great significance for advanced structural design. This study systematically verifies the applicability of the shear strain functions proposed by Reddy and Touratier in the nonlinear bending analysis of porous FGM sandwich plates. Using the existing four-variable shear deformation theory framework, the governing equations are derived through the principle of minimum potential energy, and the Navier method is applied for a numerical solution. For the first time, the study systematically compared the effects of three different porosity distribution patterns on dimensionless deflection, and verified the reliability of the model by comparing it with literature data. The results demonstrate that the adopted shear strain functions can accurately predict the influence of key parameters, including layer thickness ratio, aspect ratio, side-to-thickness ratio, volume fraction index, and porosity, on the deflection performance of sandwich plates. This research provides an important verification basis for the theoretical analysis and engineering application of FGM sandwich plates, particularly offering quantitative evidence for assessing the influence of porosity effects on theoretical prediction accuracy.
AI Product Factors and Pro-Environmental Behavior: An Integrated Model with Hybrid Analytical Approaches
Authors: Liao Chi-Horng
Published: February 2025

Based on three theories—the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and Responsible Environmental Behavior (REB)—the present study proposes a model of AI product factors and pro-environmental behavior. This study aims to investigate AI product factors that promote pro-environmental behavior by examining behavioral intentions to use AI technology. Unlike previous research, which predominantly focused on external variables such as social norms, cost, and inconvenience, or individual variables like demographic and psychological factors, this study emphasizes the underexplored role of technological factors. It integrates the Fuzzy Decision-Making Trial and Evaluation Laboratory (F-DEMATEL), Structural Equation Modeling (SEM), and Artificial Neural Network (ANN) approaches to assess the relationships among constructs. For the F-DEMATEL, opinions were collected from 20 experts in the environmental field, while SEM and ANN data were gathered from 1726 participants in Taiwan. F-DEMATEL results demonstrated causal relationships between external factors (perceived trust, self-efficacy, and perceived awareness) and the main variables of the TAM. Likewise, SEM results revealed that perceived trust (PT), self-efficacy (SE), and perceived awareness (PA) influence the main variables of TAM. However, the direct relationships between PT and behavioral intention (BI) and PA and BI were not significant. PT and PA indirectly influence BI through perceived usefulness (PU) and perceived ease of use (PEOU). The results also established that BI positively influences pro-environmental behavior. The author has also outlined how stakeholders aiming to encourage sustainable environmental behaviors can utilize the study’s findings to protect the environment.
Artificial Intelligence in Tourism Through Chatbot Support in the Booking Process—An Experimental Investigation
Authors: Wüst Kirsten , Bremser Kerstin
Published: February 2025

AI-controlled chatbots have been used in travel services for some time and range from simple hotel reservations to personalized travel recommendations. However, the acceptance of chatbots compared to human interlocutors has not yet been extensively studied experimentally in the tourism context. In this experimental, randomized, vignette-based, preregistered 2 (agent: AI chatbot/human counterpart) × 3 (situation: positive/neutral/negative) between-subjects design, we hypothesized that booking intention is reduced in chatbots compared to human agents and in situations where the booking can only be made under more negative than the original conditions. Additionally, we hypothesized an interaction effect between agent and situation, presuming that the decrease in booking intention in negative situations would be less strong for human agents than for chatbots. Structural equation modelling of the data indicates strong support for the Technology Acceptance Model in the booking context. As presumed, the booking intention was lower in the negative situation and borderline lower for the chatbot. The interaction effect was shown descriptively in the data. Chatbots are recognized during the booking process and less accepted to support bookings than their human counterparts. Therefore, managers should design chatbots as human-like as possible to avoid losing sales when outsourcing customer contact activities to AI technologies.
Fecal Transmission of Spodoptera frugiperda Multiple Nucleopolyhedrovirus (SfMNPV; Baculoviridae)
Authors: Ávila-Hernández Eduardo , Molina-Ruiz Cindy S. , Gómez-Díaz Juan S. , Williams Trevor
Published: February 2025

The production of viable nucleopolyhedrovirus in the feces of infected lepidopteran larvae represents a poorly understood route for virus transmission prior to host death. In the present study, we examined the presence of viable virus in the feces of fourth-instar Spodoptera frugiperda larvae infected with the Nicaraguan isolate of Spodoptera frugiperda multiple nucleopolyhedrovirus (SfMNPV-NIC). Feces production increased in samples taken at 2 to 6 days post-inoculation but was significantly lower in infected insects compared to controls. Second instars experienced 3.9 to 68.3% of polyhedrosis disease following consumption of feces collected at 2–5 days post-inoculation, which subsequently fell to 29.1% in the 6-day sample. Calibration of the insect bioassay using OB-spiked samples of feces indicated that the concentration of OBs varied between 5.4 × 102 and 4.4 × 105 OBs/100 mg of feces in infected fourth instars. Quantitative PCR analysis of fecal samples indicated the presence of 0 to 7629 copies/mg feces following amplification targeted at the polyhedrin gene. However, no correlation was detected between qPCR estimates of virus concentration and time of sample collection or the quantity of feces collected. The qPCR estimates were positively correlated with the prevalence of lethal infection observed in the insect bioassay, but the correlation was weak and several samples did not amplify. Calibration of the qPCR assay using OB-spiked samples of feces provided estimates that were 5- to 10-fold lower than the insect bioassay, indicating inhibition of the amplification reaction or loss of material during processing. In a greenhouse experiment, 2.5–48.3% of second-instar larvae acquired lethal infection following a 24 h period of feeding on maize plants on which fourth instar larvae had deposited their feces at 3 days and 4 days post-infection, respectively. These findings highlight the potential of OB-contaminated feces as a source of biologically significant quantities of inoculum for virus transmission prior to the death of infected insects and represent an additional contribution to the biological control of lepidopteran pests by these pathogens.
Synergistic Antiviral Activity of Xanthan Gum and Camostat Against Influenza Virus Infection
Authors: Chun Kyeunghwa , Na Yujeong , Kim Byeongyong , Lee Dongjin , Choi Jongseo , Kim Gwanyoung , Kim Sokho , Kim Min-Soo
Published: February 2025

Influenza A virus (IAV) is a major cause of respiratory infections worldwide. Current preventive measures, though effective for decades, face limitations due to the continuous evolution of viral strains and challenges in targeting specific viral proteins. In this study, we conducted in vivo screenings to evaluate the antiviral properties of various promising polymers to overcome the limitations of current virus infection prevention strategies. Subsequently, we performed detailed physiological and pathological assessments over an extended infection period. In the animal experiments regarding weight loss, a key symptom of viral infection, the group treated with xanthan gum (XG) showed significant suppression of weight loss compared to the untreated group starting from 3 DPI. Throughout the experiment, the treated group maintained a body weight similar to that of the uninfected group. In the virus titration and lung tissue pathology analysis, the group treated with the test substance showed a significantly lower viral load and tissue pathology results closer to normal compared to the untreated group. Additionally, we conducted in vitro combination treatment experiments to evaluate the antiviral ability of XG in conjunction with camostat, a previously known TMPRSS2 inhibitor. The results demonstrated that in the combination-treated groups, XG and camostat exhibited significantly higher cell viability at lower concentrations compared to the single-treatment groups for influenza A H1N1, A H3N2, and B type. These results indicate that XG possesses potential capabilities in inhibiting respiratory viruses and may be utilized in conjunction with existing antiviral treatments.
Pb2+ Adsorption, Performance, and Response Surface Optimization of Hydroxyapatite Nanowire Sodium Alginate Aerogel (HSA)
Authors: Cao Weiyuan , Yang Zixuan , Liu Ren , Zhang Zilin , Chen Guokuan , Zhou Zilin , Xu Liwei
Published: February 2025

A novel composite biomass aerogel adsorbent (HSA) was prepared by dual physical and chemical cross-linking using sodium alginate (SA) as an organic biomass template and hydroxyapatite nanowires (HAPNWs) as an inorganic biomass skeleton. The structure of the HSA was characterized by scanning electron microscopy (SEM), X-ray powder diffractometry (XRD), Fourier transformed infrared spectroscopy (FTIR), and stress testing. One-factor experiments were conducted focusing on adsorption conditions at a Pb ion concentration of 300 mg/L, and the adsorption conditions were optimized using the response surface method. The optimal conditions obtained by numerical optimization using Design-Expert 13 were as follows: pH of 7.23, adsorption temperature of 35.42 °C, and adsorption time of 1050.73 min; the optimal adsorption capacity was 278.874 mg/g. To further reveal the adsorption mechanism of HSA, its adsorption model and kinetics were analyzed. Adsorption was most consistent with the Langmuir isothermal adsorption model, while the kinetics were most consistent with the pseudo-secondary kinetic model. R2 reached 0.9986, indicating a mono-molecular layer of adsorption by heat, while the main adsorption mechanism was chemisorption.
Inteligencia Artificial en el desarrollo de las habilidades académicas en estudiantes de Bachillerato
Authors: Figueroa De La Rosa Adrian Oscar , Lamas González Margarita de las Nieves
Published: February 2025

La Inteligencia Artificial (IA) ha ganado popularidad y más cuando se trata del desarrollo de habilidades académicas en estudiantes. El objetivo de la investigación fue evaluar el impacto de una propuesta didáctica con IA en el desarrollo de las habilidades académi-cas en jóvenes de Bachillerato de una Institución Educativa ecuatoriana. Se trabajó con metodología mixta y diseño descriptivo; para la recolección de información se utilizaron las técnicas de encuestas y entrevistas, la muestra estuvo constituida por 261 adolescen-tes y 45 docentes. Los resultados evidenciaron que el uso de la IA en la educación tiene aspectos positivos y mejorables, considerando que, en su aplicación el profesorado debe asumir el reto de capacitarse para aplicarlas efectivamente. Se concluyó que esta nueva tendencia tecnológica en el desarrollo de las habilidades académicas en estudiantes de nivel medio y su inclusión en el aula, constituye un gran desafío para la comunidad edu-cativa ecuatoriana.
Un organismo viviente
Authors: Argañaraz Cecilia M.
Published: February 2025

Este artículo se propone explorar diversas dimensiones de las obras hidráulicas desde la perspectiva de uno de los protagonistas más importantes en su creación: los ingenieros. Puntualmente, mediante un ejercicio de antropología histórica, hemos recabado algunas discusiones, problemas e ideas sobre las obras hidráulicas producidas por estos actores entre 1890 y 1930. Este artículo se desprende de una investigación más amplia, que estudió controversias vinculadas al agua en los siglos XIX y XX en el valle de Catamarca (Catamarca, Argentina). Los ingenieros, en ese contexto, emergieron como actores clave que, creemos, permiten describir densamente las relaciones que se articulan en torno las obras hidráulicas. Queremos, especialmente, recorrer la distancia entre las prácticas y discusiones cotidianas de estos actores y las narrativas y argumentos que les otorgan a los primeros un sentido más amplio. Para los ingenieros del cambio de siglo, las obras hidráulicas son, o existen mediante, las discusiones por salario, el régimen de los ríos, las diversas opciones y problemas técnicos; pero también se entienden como organismos vivientes que encarnan el progreso nacional y permiten la elevación moral y material de los miembros de una “nueva sociedad” civilizada.
Morphometry of Seeds of the Species Serjania comata Radlk in a Remnant of Atlantic Forest, Alagoinhas, Bahia
Authors: Joyce Raianne de Oliveira Barbosa  , Stefani Hiaminique dos Santos de Carvalho  , Gracineide Selma Santos de Almeida
Published: February 2025

The Atlantic Forest is a biodiversity-rich area, but it is highly threatened due to the numerous human actions that have affected ecosystems since the colonial era. Considering that morphological studies of forest seeds will serve as subsidies for reforestation programs and research on seed technology and physiology in the conservation of native forests, the study on the morphometry of seeds of the species Serjania comata Radlk will contribute positively to knowledge despite the diversity of species present in the ecosystems, to characterize the morphometry of S. comata seeds in remnants of the Atlantic Forest, to represent biodiversity conservation strategies, serving as subsidies for the implementation of management projects for the recovery of degraded areas. The study area is a remnant of the Atlantic Forest in Alagoinhas-Ba, with collections from October 2023 to January 2024. After the seed processing process, they were characterized following descriptive parameters suggested by the literature. The species has fruits characterized as echizocarpic with three wing expansions and oblong-oval seeds, with a sharp end, rigid, shiny, brown integument and a visible hilum. The research analyzed morphometric data from 304 species of seeds, and it was possible to observe a slight variation in the variable's size and weight.
Using the MLP Classifier Model with Markov Chains Observing the Bovespa Index
Authors: Bruno Oliveira Cardoso  , José Roberto de Araujo
Published: February 2025

The application of resources in the financial market in the form of investment is primarily linked to variable income, which has a higher risk, requiring a more thorough assessment to increase its assertiveness. Successful past experiences influence decisions and can lead to correct choices. Mathematical and statistical models should assist in decision-making to optimize their success. This work involves creating a web service connector to capture data from the BOVESPA index, randomly used to choose between three websites: Infomoney, Investnews, and Valor Invest. This work used an Artificial Neural Network (ANN) Classification model, the MLPClassifier, and compared this model alone and about itself with the insertion of the modeling with Markov Chains. The MLPClassifier model proved satisfactory, given that performance metrics measure its classifications, and the speed will depend on the number of hidden layers used. By including Markov Chains in the MLPClassifier model, it was possible to refine the classification process of the model, which already had a very high level of assertiveness.
Bibliometric Analysis of Ornithophilous Species of Bromeliaceae in the Atlantic Forest
Authors: Jéssica Figuera Oliveira Miranda  , Joelma Araujo dos Santos  , Maria Dolores Ribeiro Orge  , José Antonio da Silva Dantas
Published: February 2025

This bibliometric analysis quantified the articles published on ornithophilous species of Bromeliaceae in the Atlantic Forest biome, demonstrating the scarcity of studies and the need for work to reduce the knowledge of this plant-animal relationship in the state of Bahia (Brazil). The bibliometric analysis of ornithophilous species of Bromeliaceae in the Atlantic Forest in the time cut from 1996 to 2024, with the first filter of the expressions "ornithophilia, Bromeliaceae, Atlantic Forest", selected 251 articles from 819 authors in 96 journals from 23 countries, with Brazil highlighted by 111 articles (44%). The second filter with the term "pollination" generated 40 (15.9%) articles listed by national institutions. In Brazil, most of the surveys on ornithological pollination in Bromeliaceae were carried out in the Atlantic Forest (96%). The third filter for the final selection of articles published by authors of Brazilian institutions grouped only 8 (3%) articles from the initial total. The method is effective and limited, excluding articles published in the middle of the dissemination books in modest or low-cost journals. A non-factor of impact phase can also devalue research of regional or local relevance, leading to a distorted vision of the relevance of endemism.
The role of FDI in building integrated resilience of regional development during economic crises
Authors: Bernat Maria , Łukaniszyn-Domaszewska Katarzyna , Romaniuk Urszula , Szewczyk Mirosława
Published: February 2025

The purpose of this study is to explore how foreign direct investment (FDI) enhances regional economic resilience, particularly during economic crises. Using a comparative approach, the study analysed the responses of foreign-invested entities versus domestically funded entities during the 2020 pandemic crisis. Findings reveal that, while both groups experienced investment and revenue declines, foreign-invested entities showed significantly less contraction and demonstrated stronger post-crisis growth, surpassing pre-pandemic levels. This indicates that FDI presence bolsters regional stability and adaptability in the face of economic disruptions. Limitations include a focus on a single crisis event, suggesting further research across varied economic conditions. Practical implications highlight FDI’s potential in policy strategies aimed at building regional resilience. The study contributes original insights into FDI’s role in economic stabilisation, offering value to policymakers and regional development stakeholders.
Экологический маркетинг: особенности выбора экологичных товаров российскими потребителями
Authors: Степанова Л.М. , Иванов А.А.
Published: February 2025

В статье раскрывается сущность экологического маркетинга и особенности выбора российскими потребителями экологичных товаров. Как показывает практика, в последнее время во всем мире возрастает интерес к экологическим и социальным проблемам общества. Тема экопродукции и ответственного потребления становится всё более популярной в России, в связи с чем растёт число потребителей, которые проявляют избирательность в выборе товара по признаку его экологичности. Поэтому компаниям следует обратить внимание на растущую потребность общества в экологичных товарах.

The article reveals the essence of ecological marketing and the peculiarities of the choice of environmentally friendly goods by Russian consumers. Recently there has been a growing interest in the environmental and social problems of society around the world. Eco-products and responsible consumption is becoming more and more popular in Russia. Therefore, there is a growing number of consumers who are selective in choosing a product based on its environmental friendliness. Companies should pay attention to the growing public demand for sustainable products.
Оценка наличия и движения основных производственных фондов
Authors: Карпова М.В. , Рознина Н.В. , Лапина Е.Н.
Published: February 2025

Основные фонды – это часть производственных фондов, участвующих в нескольких производственных циклах, служащих на предприятии длительное время, сохраняющие при этом свою натуральную форму и переносящие свою стоимость на готовую продукцию постепенно, по частям, по мере изнашивания. В работе проведена оценка состава и структуры основных производственных фондов по вещественно-натуральному признаку. Рассчитаны показатели характеризующие обеспеченность основными производственными фондами, их наличие, движение и эффективность использования.

Fixed assets are part of the production assets involved in several production cycles, serving at the enterprise for a long time, while maintaining their natural form and transferring their value to the finished product gradually, in parts, as they wear out. The paper evaluates the composition and structure of fixed production assets on a material-natural basis. Indicators characterizing the availability of fixed production assets, their availability, movement and efficiency of use are calculated.
Анализ эффективности хозяйственной деятельности организации
Authors: Карпова М.В. , Рознина Н.В. , Дуничева С.Г.
Published: February 2025

Переход к рыночной экономике требует от предприятий повышения эффективности производства, конкурентоспособности продукции и услуг на основе внедрения достижений научно-технического прогресса, эффективных форм хозяйствования и управления производством, ухода от бесхозяйственности, активизации предпринимательства, инициативы работников трудового коллектива. Важная роль в реализации этой задачи отводится экономическому анализу деятельности субъектов хозяйствования. С его помощью вырабатывается стратегия и тактика развития предприятия, обосновываются планы и управленческие решения, осуществляется контроль за их выполнением, выявляются резервы повышения эффективности производства, оцениваются результаты деятельности предприятия, его отдельных подразделений и работников. В работе проведена оценка эффективности хозяйственной деятельности аграрного хозяйства. Проанализированы показатели состояния, движения и эффективности использования основных производственных фондов, показатели эффективности использования оборотных средств, показатели эффективности оценки труда и заработной платы, показатели эффективности.

The Transition to a market economy requires enterprises to increase the efficiency of production, the competitiveness of products and services through the introduction of scientific and technological progress, effective forms of management and production management, avoiding mismanagement, activating entrepreneurship, and the initiative of employees of the labor collective. An important role in the implementation of this task is assigned to the economic analysis of the activities of economic entities. With its help, the strategy and tactics of the company's development are developed, plans and management decisions are justified, their implementation is monitored, reserves for improving production efficiency are identified, and the results of the company's activities, its individual divisions and employees are evaluated. The paper assesses the efficiency of economic activity of the agricultural sector. Analyzed the performance of a condition, movement and use efficiency of fixed assets, indicators of efficiency of use of working capital, performance evaluations and wages, performance.
Анализ использования земельных ресурсов в Кыргызской республике
Authors: Абдиев М.Ж. , Парпиева Ф.С. , Касымова С.М.
Published: February 2025

В статье рассмотрены анализ использования земельных ресурсов в Кыргызской Республике (КР), уточнены их теоретические и практические положения. Предметом исследования выступают земельные ресурсы КР, а целью исследования заключается анализ и оценка эффективности использования земельных ресурсов в КР. По результатам исследования на основе анализа и оценки использования земельных ресурсов в КР предложены пути обеспечения их эффективности с учетом государственной поддержки отрасли, созданием необходимой инфраструктуры.

The article considers the analysis of the use of land resources in the Kyrgyz Republic (KR), clarifies their theoretical and practical provisions. The subject of the study is the land resources of the Kyrgyz Republic, and the purpose of the study is the analysis and evaluation of the effectiveness of the use of land resources in the Kyrgyz Republic. Based on the results of research on the basis of analysis and assessment of the use of land resources in the Kyrgyz Republic, it is proposed to ensure their efficiency by taking into account the state support of the industry, creating the necessary infrastructure.
Анализ финансово-экономической деятельности ОАО «Татарский маслокомбинат» Татарского района Новосибирской области
Authors: Гапон М.Н. , Мирошниченко А.С.
Published: February 2025

Способность предприятия успешно функционировать и развиваться состоит в сохранении равновесия своих активов и пассивов в изменяющейся внутренней и внешней среде, постоянном поддержании своей платежеспособности и инвестиционной привлекательности в границах допустимого уровня риска. Каждое предприятие сталкивается с постоянно меняющейся ситуацией и все время должно решать те или иные проблемы. В целях организации надежного финансового управления очень важно разбираться в положении дел на предприятии, иметь информацию о его рынках, клиентах, поставщиках, конкурентах, качестве его продукции, о путях достижения текущих и перспективных целей . В решении всех этих вопросов, в деле координации работы предприятия и контроля над его деятельностью исключительное значение имеет финансово-экономический анализ деятельности предприятия. На его основе, в частности, определяют основные направления финансовой политики предприятия. Актуальность исследования обусловлена важностью осуществления финансовой деятельности для функционирования любого предприятия, поскольку её грамотное построение определяет финансовую устойчивость предприятия и указывает на перспективы его развития. В статье проведен анализ ликвидности и платежеспособности, финансовой устойчивости, рентабельности, сделаны соответствующие выводы по результатам анализа

the ability of an enterprise to successfully function and develop consists in maintaining the balance of its assets and liabilities in a changing internal and external environment, constantly maintaining its solvency and investment attractiveness within the limits of an acceptable level of risk. Every company faces a constantly changing situation and always has to solve certain problems. In order to organize reliable financial management, it is very important to understand the situation at the enterprise, to have information about its markets, customers, suppliers, competitors, the quality of its products, and how to achieve current and future goals . In solving all these issues, in coordinating the work of the enterprise and controlling its activities, the financial and economic analysis of the enterprise's activities is of exceptional importance. On its basis, in particular, determine the main directions of the financial policy of the enterprise. The relevance of the study is due to the importance of financial activities for the functioning of any enterprise, since its competent construction determines the financial stability of the enterprise and indicates the prospects for its development. The article analyzes liquidity and solvency, financial stability, profitability, and makes appropriate conclusions based on the results of the analysis.
Закупочная деятельность государства у субъектов малого предпринимательства: основные тенденции и проблемные аспекты
Authors: Федотов Д.А. , Фирсова М.А.
Published: February 2025

В настоящее время в России всё большее внимания уделяется малому предпринимательству. Государство использует различные инструменты господдержки субъектов малого предпринимательства, одним из которых является законодательно закрепленная минимальная доля данных субъектов в государственных закупках товаров, работ и услуг. Сумма закупок у малых предприятий демонстрирует более стремительный рост по сравнению с совокупной величиной госзакупок. Поэтому появляется необходимость оценки эффективности рассматриваемого инструмента. Главной целью настоящего исследования является выявление возможных проблем в данной сфере экономики.

At present, in Russia, more and more attention is paid to small business. The state uses various instruments of state support for small businesses, one of which is the legally enshrined minimum share of these entities in public procurement of goods, works and services. The amount of purchases from small businesses shows a more rapid growth in comparison with the total amount of government purchases. Therefore, it becomes necessary to assess the effectiveness of the tool under consideration. The main goal of this study is to identify possible problems in this area of ​​the economy.