bluuebunny/crossref_metadata_2025 huggingface dataset:
Deviations from Normality in Autocorrelation Functions and Their Implications for MA(q) Modeling
Authors: Royer-Carenzi Manuela , Hassani Hossein
Published: February 2025

The identification of the orders of time series models plays a crucial role in their accurate specification and forecasting. The Autocorrelation Function (ACF) is commonly used to identify the order q of Moving Average (MA(q)) models, as it theoretically vanishes for lags beyond q. This property is widely used in model selection, assuming the sample ACF follows an asymptotic normal distribution for robustness. However, our examination of the sum of the sample ACF reveals inconsistencies with these theoretical properties, highlighting a deviation from normality in the sample ACF for MA(q) processes. As a natural extension of the ACF, the Extended Autocorrelation Function (EACF) provides additional insights by facilitating the simultaneous identification of both autoregressive and moving average components. Using simulations, we evaluate the performance of q-order identification in MA(q) models, which is based on the properties of ACF. Similarly, for ARMA(p,q) models, we assess the (p,q)-order identification relying on EACF. Our findings indicate that both methods are effective for sufficiently long time series but may incorrectly favor an ARMA(p,q−1) model when the aq coefficient approaches zero. Additionally, if the cumulative sums of ACF (SACF) behave consistently and the Ljung–Box test validates the proposed model, it can serve as a strong candidate. The proposed models should then be compared based on their predictive performance. We illustrate our methodology with an application to wind speed data and sea surface temperature anomalies, providing practical insights into the relevance of our findings.
Nexus Amid Green Marketing, Green Business Strategy, and Competitive Business Among the Fashion Industry: Does Environmental Turbulence Matter?
Authors: Vehbi Asim , Farmanesh Panteha , Solati Dehkordi Niloofar
Published: February 2025

Organizations within the fashion industry have been encouraged to adopt more sustainable marketing strategies to address growing sustainability concerns. Nevertheless, the unpredictability of environmental volatility makes it difficult to adopt green practices. Since the fashion industry is the most environmentally damaging sector, applying sustainable practices may develop competitiveness in the dynamic nature of the environment. The study utilizes resource-based view (RBV) theory to investigate how competitiveness might be enhanced in this setting through sustainable strategies. Using a purposive and convenience sampling method, 400 questionnaires were distributed to managers of Iranian textile companies and company personnel knowledgeable about green initiatives and AI. After screening the data, 230 questionnaires were considered appropriate for analysis. A quantitative analysis was carried out to analyze the data. Using PLS-SEM for analysis, the findings indicate that green marketing (GM) significantly impacts green marketing strategies (GMS), with competitive strategy (CS) serving as a mediator. Furthermore, green marketing significantly impacts the competitive strategy, and competitive business strategies affect the company’s green initiatives. Additionally, environmental turbulence (ET) is found to negatively moderate the relationship between green marketing and competitive strategies, indicating that ET (market turbulence, technological turbulence, as well as competition intensity) can diminish the effectiveness of sustainability initiatives. Managers and marketers in the fashion industry interested in enhancing their competitive edge through environmentally friendly marketing and sustainable tactics will find this study informative and insightful.
The Carbon Sequestration Potential of Skyscraper Greenery: A Bibliometric Review (2003–2023)
Authors: Wang Mo , Xu Haoyu , Zhao Jiayu , Sun Chuanhao , Liu Yongqi , Li Jianjun
Published: February 2025

Nature-based solutions (NBS) encompass a diverse range of ecosystem-based strategies aimed at addressing urban sustainability challenges. Among these, skyscraper greenery emerges as a specialized application of NBS, integrating vertical vegetation systems into high-rise architecture to enhance carbon sequestration, mitigate urban heat islands, and improve air quality. By extending NBS principles into the vertical dimension of cities, this approach offers a scalable solution for climate adaptation in high-density urban environments. This study provides a comprehensive bibliometric analysis of skyscraper greenery research from 2003 to 2023, employing advanced tools such as CiteSpace and Bibliometrix to assess publication trends, elucidate key research themes, and identify prevailing knowledge gaps. The findings underscore the environmental benefits of skyscraper greenery, including its role in alleviating the urban heat island effect, improving air quality, and enhancing urban biodiversity. Additionally, economic advantages, such as reductions in energy consumption and operational costs, further highlight its multifaceted utility. Carbon sequestration within skyscraper greenery primarily occurs through vegetation’s photosynthetic processes, which are influenced by plant species, substrate composition, and system design. Thermal performance, ecosystem services, and biodiversity emerge as pivotal themes driving research in this domain. However, the field faces persistent challenges, including inconsistent methodologies for measuring carbon sequestration, a lack of technical standards, and limited public awareness. Future studies must prioritize the standardization of carbon measurement protocols, optimization of plant and substrate selection, and integration of skyscraper greenery within comprehensive urban sustainability frameworks. Addressing socio-economic barriers and enhancing policy incentives will be essential for widespread adoption. This review emphasizes the transformative potential of skyscraper greenery as a multifunctional strategy for climate mitigation, advancing resilient, low-carbon, and sustainable urban environments.
Assessing the Sustainability of Local Construction Materials in Ecuador Through an Interdisciplinary Approach
Authors: Martínes Juan Sebastián , Barros Estefania , Padrón Kristi , Aguirre Jonnathan , Matasci Cecilia , Crenna Eleonora , Gauch Marcel , Vanegas Paul , Sucozhañay Dolores
Published: February 2025

Worldwide, concrete is used as the material of choice in the construction sector. In Latin American countries, concrete is primarily used in structural elements, because it is a low-maintenance, versatile, and economical material. With its characteristics, concrete has made it possible to cover Ecuador’ housing deficit to some extent. However, this construction material does not entirely respond to the needs of local communities, who are especially concerned about the displacement of traditional techniques and the loss of cultural heritage. In Ecuador, different fiber- and earth-based materials have been used in the construction sector for a long time. These materials present different technical, environmental, social, and cultural characteristics. This study aimed to evaluate the sustainability of the production of six local materials in Ecuador under three dimensions: environmental, social, and cultural, using local data. The data were collected in local production workshops, and life-cycle-based methodologies were applied. The results showed the relevance of developing regional inventories to represent the reality of production within the territory. Additionally, integrating the evaluation of environmental, social, and cultural dimensions shed light on the current situation of the building materials production sector, identifying possible trade-offs or synergies with a sustainable and interdisciplinary approach.
Modulating Coffee Fermentation Quality Using Microbial Inoculums from Coffee By-Products for Sustainable Practices in Smallholder Coffee Production
Authors: Duque-Buitrago Luisa-Fernanda , Calderón-Gaviria Karen-Dayana , Torres-Valenzuela Laura-Sofia , Sánchez-Tamayo Martha-Isabel , Plaza-Dorado José-Luis
Published: February 2025

This study developed an inoculum culture for semi-controlled coffee fermentation using lactic acid bacteria (LAB) and yeast, with coffee production by-products as carbon sources. The viability of the inoculum was optimized by using a mixture design to vary the proportions of coffee pulp (CP) and wastewater (CWW) in 0.25 increments; as a process variable, fermentation time ranged from 36 to 48 h for LAB and 12 to 36 h for yeast. Soluble solids (SS), pH, and titratable acidity (TA) were monitored, and the response variable was the variation in microbial viability. The optimized inoculums were used for coffee fermentation alone and in combination, and fermentation parameters and sensory evaluation were measured. The optimal by-product combination for LAB inoculum was 100% CP, with a 48 h fermentation, reaching a maximum of 7.8 × 107 CFU/mL. The optimal formulation for yeast was 100% CWW for 36 h, achieving a maximum concentration of 8.3 × 108 CFU/mL. Experimental results for both inoculums were fit to a quadratic statistical model with R2 of 0.84 and 0.88 and Adj-R2 of 0.77 and 0.83 for LAB and yeast, respectively. The optimized inoculums produced high sensory scores, particularly in balance, fragrance, and acidity. Using mixed inoculums, we achieved the highest fragrance/aroma score (8.25) and an improved balance, attributed to higher TA and lower pH, which are linked to enhanced flavor complexity. This demonstrates that by-product-based inoculums can not only increase microbial viability but also improve the sensory quality of coffee, supporting sustainable practices in coffee processing.
Spent Mushroom Substrate as a Renewable Energy Resource: Evaluating Its Biogas Production Potential
Authors: Ravlikovsky Andrew , Pinheiro Maria Nazaré Coelho , Kucheruk Petro , Symochko Lyudmyla
Published: February 2025

Spent mushroom substrate (SMS), often overlooked as waste despite its richness in organic matter and mineral micronutrients, is increasingly recognized as a versatile resource for various applications. This study examines the potential of SMS as a feedstock for biogas production. A periodic mesophilic fermentation regime at 36.0 ± 0.1 °C was selected to conduct the experiments, after mixing the substrate with the inoculum, over a period of 38 days. The experimental results showed an average biogas yield of 292.7 Nm3/t of fresh SMS, with a methane concentration of 66.2%, making SMS a competitive resource for renewable energy production. This approach not only offers economic benefits for agricultural and energy sectors, but also supports environmental sustainability by promoting waste reduction and resource valorization.
Real-Time Scanning Curve of Soil–Water Characteristic Curve for Sustainability of Residual Soil Slopes
Authors: Daramola Abdulroqeeb Mofeyisope , Satyanaga Alfrendo , Adejumo Babatunde David , Kim Yongmin , Qian Zhai , Kim Jong
Published: February 2025

The scanning curve of the soil–water characteristic curve (SWCC) represents the intermediate paths followed by soil as it transitions between the initial drying and main wetting cycles. The alternating occurrence of climatic conditions, such as rainfall and evaporation in different regions globally, provides a valuable framework for understanding how these dynamics influence the scanning curve. Monitoring the scanning curve can provide valuable insights for managing water resources and mitigating the impacts of drought, contributing to environmental sustainability by enabling more precise agricultural practices, promoting water conservation, and supporting the resilience of ecosystems in the face of climate change. It enhances sustainability by enabling data-driven designs that minimize resource use, reduce environmental impact, and increase the resilience of slopes to natural hazards like landslides and flooding. Available studies to determine the scanning curve of SWCC are limited and mostly conducted in the laboratory. This study aims to determine the real-time measurement of the scanning curve of SWCC for unsaturated soil. The research focuses on assessing the hysteresis behavior of residual soil slope from old alluvium through a combination of field instrumentation and laboratory testing. The pore size distribution was derived from the initial drying and main wetting SWCC. Field monitoring (scanning curve) indicates measurable deviations from the experimental results, including a 10% lower saturated water content and a 25% lower air-entry value. This study demonstrates the potential for field-based determination of scanning curves. It highlights their role in improving the prediction of the hydraulic behavior of residual slopes during varying climatic conditions.
Sustainable Development Goals and Corruption: An International Situation Analysis Through the Application of a Three-Way Multivariate Analysis
Authors: Gallego-Álvarez Isabel , Nieto-Librero Ana Belén , Martín-Gallego Eugenio
Published: February 2025

The primary aim of this research is to examine the impact of corruption on the attainment of the Sustainable Development Goals (SDGs) in different countries. To achieve this, the study utilizes the Corruption Perceptions Index (CPI), one of the most widely recognized indicators of corruption. Additionally, the SDG Index is used to evaluate each country’s overall progress toward the 17 SDGs, with scores ranging from 0, representing the worst possible outcome, to 100, indicating achievement of the targets. In this work, the Tucker method has been applied, which has not previously been used in studies on SDGs and corruption and thus provides some novelty to the present research. This method has allowed us to analyze the relationship between the CPI and SDGs. The results obtained show that the lower the level of corruption in a country, the better SDGs are achieved. Thus, it has been observed that CPI scores are closely related to the achievement of goals related to Gender Equality (SDG5), Peace, Justice, and Strong Institutions (SDG16), and Reduced Inequalities (SDG10). This means our findings are extremely useful for enabling governments and institutions to roll out more effective policies and encourage investment for achieving the SDGs related to their region and the pressing need to combat corruption. As a conclusion, this study demonstrates that lower levels of corruption, particularly in Europe and North America, are strongly associated with progress toward SDGs related to Peace, Justice, and Strong Institutions. In contrast, high levels of corruption in regions such as Sub-Saharan Africa and South Asia significantly hinder the achievement of key SDGs, particularly those concerning Decent Work and Economic Growth, as well as Climate Action.
EV Charging Behavior Analysis and Load Prediction via Order Data of Charging Stations
Authors: Wang Shiqian , Liu Bo , Li Qiuyan , Han Ding , Zhou Jianshu , Xiang Yue
Published: February 2025

To understand the charging behavior of electric vehicle (EV) users and the sustainable use of the flexibility resources of EV, EV charging behavior analysis and load prediction via order data of charging stations was proposed. The user probability distribution model is established from the characteristic dimensions of EV charging initial time, initial state of charge, power level, and charging time. Under the conditions of specific districts, seasons, multiple EV types, and specific weather, the Monte Carlo simulation method is used to predict the EV load distribution at the physical level. The correlation between users’ willingness to charge and the electricity price is analyzed, and the logistic function is used to establish the charging load prediction model on the economic level. Taking a city in Henan Province, China, as an example, the calculation results show that the EV charging load distribution varies with the district, season, weather, and EV type, and the 24 h time-of-use (TOU) electricity price and EV quantity distribution are analyzed. The proposed method can better reflect EV charging behavior and accurately predict EV charging load.
The Development of No-Tillage Seeding Technology for Conservation Tillage—A Review
Authors: Ma Yue , Li Zheng , Xu Yandong , Li Chenglong , Ding Hao , Li Chenghao , Tang Qiang , Liu Minghui , Hou Junming
Published: February 2025

In the field of conservation tillage, no-till seeding technology has emerged as an efficient and environmentally friendly form of agricultural production. It is increasingly recognized as a crucial avenue toward sustainable agricultural development. This study focuses on the research of no-till seeding technology, specifically analyzing the technical characteristics of no-till seeders, their principles of operation, and their application. No-till planters are designed to either minimize or eliminate soil tillage. When paired with precision seeding technology, they can significantly reduce soil erosion, promote soil and water conservation, reduce agricultural production costs, and ensure optimal growing conditions for crops. No-till seeding breakers play a critical role in resolving the stubble-breaking issue that is inherent in no-till seeding technology. The integration of no-till planters with stubble breaker knife technology can substantially improve the adaptability and operational efficiency of no-tillage operations under conservation tillage scenarios. This progress offers indispensable technical backup, which not only aims to ramp up food production levels but also contributes agro-ecological protection of the environment.
Accurate Gas–Steam Combined Cycle Efficiency Prediction Based on Neural Network Model
Authors: Wang Tao , Ye Changtong , Hu Hemin , Zhang Bing , Qi Jian , Wang Zhaoming
Published: February 2025

(1) Background: To enhance the efficiency and minimize the energy consumption of combined cycle power plants (CCPPs), it is crucial to research gas–steam combined cycle (GSCC) performance prediction under various conditions. However, current studies focus more on the subsystems of GSCC, including simpler systems like gas turbines and steam turbines, lacking an overall perspective on the GSCC system as a whole. (2) Methods: this paper focuses on GSCC efficiency prediction, while employing continuous and fluctuating operational data from a CCPP. Specifically, variables from two symmetric gas turbines of the GSCC were employed as model inputs. Deep Neural Network, Simple Recurrent Neural Network, Long Short-Term Memory, and Gated Recurrent Unit (GRU) were tested. Furthermore, the GRU network was employed to evaluate the Plate Heat Exchanger (PHE) installation modification of the CCPP. (3) Results: GRU outperformed the other models, achieving a Mean Absolute Percentage Error of 0.855%. Utilizing multiple variables as model inputs provided the models better accuracy. The evaluation of the CCPP modification indicates that the PHE brought a maximum increase of 7.82 percentage points in combined cycle efficiency. (4) Conclusions: Recurrent Neural Networks, represented by GRU, are capable of predicting GSCC efficiency. Meanwhile, utilizing multiple inputs is essential to GSCC overall performance prediction. The research also proved the PHE to be effective in boosting GSCC thermal efficiency.
On a General Functional Equation
Authors: Bahyrycz Anna
Published: February 2025

In this paper, we deal with a general functional equation in several variables. We prove the hyperstability of this equation in (m + 1)-normed spaces and describe its general solution in some special cases. In this way, we solve the problems posed by Ciepliński. The considered equation was introduced as a generalization of the equation characterizing n-quadratic functions and has symmetric coefficients (up to sign), and it also generalizes many other known functional equations with symmetric coefficients, such as the multi-Cauchy equation, the multi-Jensen equation, and the multi-Cauchy–Jensen equation. Our results generalize several known results.
Strategic Alignment of Technological Innovation for Sustainable Development: Efficiency Evaluation and Spatial Analysis in China’s Advanced Manufacturing Industry
Authors: Chen Zhenghan , Zhang Quan , Tang Tianzhen , Deng Mingran
Published: February 2025

Technological innovation is essential to promoting sustainable development in emerging economies as it drives regional coordination and industry upgrading. In order to address the understudied connection between regional coordination and industrial structural transformation, this study examines the spatial dynamics of technological innovation efficiency (TIE) in China’s advanced manufacturing industry (AMI) along the Yangtze River Economic Belt (YREB) from 2007 to 2022. Through a Data Envelopment Analysis (DEA) and Spatial Durbin Model (SDM), we systematically evaluated TIE patterns using panel data from 11 provinces. Our empirical analysis reveals three key findings. (1) The temporal distribution of TIE in AMI in the YREB showed an annual increasing trend. The spatial distribution characteristics showed a gradient distribution disparity between the eastern, central, and western regions, but the regional gap of TIE in AMI is gradually closing. (2) Through the examination of Moran’s I, the spatial spillover effect of TIE in AMI was observed, that is, the TIE is spreading from high-performance provinces to other regions, suggesting that interregional collaboration and knowledge exchange may be beneficial. (3) According to the factor identification study, the main factors affecting the spatial distribution of TIE in AMI are industrialization, human capital, and innovation capability. Interestingly, the effects of information technology and economic progress are not statistically significant, suggesting that cautious government actions are required. By optimizing technological innovation processes and spatial arrangements, this study adds to the expanding body of knowledge on the spatial aspects of technological innovation and provides valuable insights for policymakers looking to enhance global competitiveness and foster sustainable economic growth in the AMI. The findings advance our knowledge of how to support sustainable economic development in emerging nations by highlighting the critical role that innovation and technology management play in removing regional development obstacles and encouraging the modernization of industrial structures.
Bombesin Receptor Subtype-3 Regulates Tumor Growth by HER2 Tyrosine Phosphorylation in a Reactive Oxygen Species-Dependent Manner in Lung Cancer Cells
Authors: Moody Terry W. , Ramos-Alvarez Irene , Mantey Samuel A. , Jensen Robert T.
Published: February 2025

Bombesin receptor subtype-3 (BRS-3) is a type 1 G-protein-coupled receptor (GPCR). BRS-3 is an orphan GPCR that is structurally related to neuromedin B and gastrin-releasing peptide receptors. When activated, BRS-3 causes phosphatidylinositol turnover in lung cancer cells. BRS-3 stimulates tyrosine the phosphorylation of the epidermal growth-factor receptor (ErbB1); however, it is unknown whether it transactivates ErbB2/HER2. Adding the nonpeptide BRS-3 allosteric agonist MK-5046 or the peptide agonist BA1 to the lung cancer cell line NCI-H727 or to BRS-3-transfected NCI-H1299 lung cancer cells increased the tyrosine phosphorylation of HER2/ERK2. This increase was antagonized by the BRS-3 peptide antagonist Bantag-1 and the small-molecule BRS-3 antagonist ML-18. The increase in HER2/ERK phosphorylation caused by MK-5046 was inhibited by the ROS inhibitors N-acetylcysteine and Tiron (superoxide scavengers). Adding MK-5046 to lung cancer cells increased reactive oxygen species, which was inhibited by NAC or Tiron. MK-5046 and BA1 increased non-small lung cancer cell (NSCLC) colony formation, whereas Bantag-1/ML-18 inhibited proliferation. These results indicate that in lung cancer cells, the activation of BRS-3 regulates HER2 transactivation in an ROS-dependent manner, which can mediate tumor growth. These results raise the possibility that the use of HER2-inhibiting compounds alone or in combination with other agents could represent a novel approach to the treatment of these tumors.
Microplastics in Mussels (Mytilus galloprovincialis): Understanding Pollution in Italian Seas
Authors: Rubini Silva , Munari Martina , Baldini Erika , Barsi Filippo , Meloni Daniela , Pussini Nicola , Barchiesi Francesca , Di Francesco Gabriella , Losasso Carmen , Cocumelli Cristiano , Dara Salvatore , Virgilio Sebastiano , Di Nocera Fabio , Petrella Antonio , Zinni Matteo , Vaccaro Carmela , Eftekhari Negar , Manfredini Stefano , Vertuani Silvia
Published: February 2025

Plastic marine litter is a critical issue that threatens marine ecosystems. This study investigated microplastics (MPs) contamination in the Italian seas, involving regions significantly affected by pollution from urban, industrial and agricultural sources. The research, conducted in collaborations between 10 different Experimental Zooprophylactic Institutes throughout Italy, analyzed Mytilus galloprovincialis (common mussels) for its filtration capacity and suitability as a bioindicator. Using data from two projects funded by the Italian Ministry of Health, MPs were detected from 7% to 13% of mussel samples, mainly polypropylene and polystyrene fragments and fibers. These findings align with previous studies highlighting the pervasive presence of MPs and their potential risks as mussels are consumed whole, allowing MPs to be ingested. The study underscores the need for standardized detection methods and coordinated policies to mitigate plastic pollution. Public awareness campaigns and improved waste management practices are key to addressing the environmental and health impacts of MPs. Further research on the long-term effects of MPs on marine ecosystems and human health is essential to developing comprehensive mitigation strategies.
Cellophane Banding Without Intraoperative Attenuation of Congenital Gastrophrenic Shunts in 12 Cases
Authors: Hamon Martin , Haudiquet Philippe P. , Bruwier Aurelie , Schreiber Kevin , Jossier Renaud , Charbonneau Morgane , Picavet Pierre P.
Published: February 2025

Reports on patients with a gastrophrenic shunt treated with cellophane banding without attenuation are scarce. This case series evaluated the outcomes of cellophane banding without intraoperative attenuation in patients with a congenital left gastrophrenic shunt. Seven client-owned dogs and five client-owned cats with congenital left gastrophrenic shunt were included. Data collected from the medical records included signalment, history, physical examination, clinicopathologic testing, diagnostic imaging (pre and postoperative), perioperative complications, hepatic histopathological evaluation, and clinical outcomes. The application of a cellophane band without intraoperative attenuation of congenital left gastrophrenic shunts resulted in complete closure in 10/11 patients at a median follow-up of 60 days (range: 33–174) based on ultrasound. The mean shunt diameter was 6.1 mm (range: 4.2–8). One dog had partial closure of the shunt at 3 months but was lost to follow-up. One dog died perioperatively from seizures. One cat experienced post-attenuation neurologic signs that completely resolved. Cellophane banding without intraoperative attenuation appeared to be a safe and potentially effective approach for managing gastrophrenic shunts. The percentage of shunt closure observed in this cases series is higher than that historically reported for other shunt localizations. Shunt localization may influence closure. Residual shunting may not be associated with shunt diameter. Further studies with larger sample sizes and standardized follow-ups are needed to confirm its efficacy.
Genome-Wide Association Analysis Revealed Candidate Genes Related to Early Growth Traits in Inner Mongolia Cashmere Goats
Authors: Rong Youjun , Ao Xiaofang , Guo Furong , Wang Xinle , Han Mingxuan , Zhang Lu , Xia Qincheng , Shang Fangzheng , Lv Qi , Wang Zhiying , Su Rui , Zhao Yanhong , Zhang Yanjun , Wang Ruijun
Published: February 2025

The Inner Mongolia cashmere goat is a local breed valued for both its cashmere and meat production. Early growth traits include birth weight and weaning weight. Generally, cashmere goats with higher birth and weaning weights tend to exhibit a higher carcass weight at slaughter. Consequently, exploring the genetic variation associated with these early growth traits is crucial in enhancing the meat production performance of Inner Mongolia cashmere goats. For this study, we performed genome-wide association analysis and haplotype analysis on the early growth traits of 212 Inner Mongolia cashmere goats (72 rams, 140 ewes) to identify molecular markers and haplotypes significantly associated with birth and weaning weights. Through genome-wide association analysis and gene annotation, we identified 21 SNPs and 117 candidate genes linked to early growth traits. Notably, genes such as RUNX1T1, ERBIN, MYO15B, NT5C, GRB2, ITGB4, and GALK emerged as significant factors influencing the early growth of Inner Mongolia cashmere goats. Additionally, nine haplotype blocks related to early growth traits were constructed, resulting in eight haplotype combinations. In conclusion, the haplotype combinations A1A1, C1C1, and D1D1 were found to be beneficial for the genetic improvement of early growth traits in Inner Mongolia cashmere goats.
Groundwater Nitrate-Nitrite Modeling in a Grazed Hillslope with Agroforestry and Grass Buffers
Authors: Salceda-Gonzalez Miguel , Udawatta Ranjith P. , Appold Martin S.
Published: February 2025

Groundwater pollution negatively impacts aquatic ecosystems and human health. On the other hand, conservation practices can help reduce groundwater and surface water pollution. Baseflow from agricultural fields can be an important source of nitrate-nitrite (NN) loads in lakes and other surface water bodies. Riparian agroforestry buffers can be an effective barrier between groundwater NN and surface water bodies. The study aimed to determine the effects of agroforestry buffers and widths on groundwater nitrate-nitrite (NN) exports from an agricultural grazing area into a farm lake using flow and solute transport models. The flow and solute models were calibrated and validated for the weather and land use (grazing) conditions observed during the monitoring period, and these conditions were repeated throughout the 10-year projection. The calibration and validation of the flow and solute transport models were satisfactory, yielding determination coefficients R2 > 0.95 and Nash-Sutcliffe coefficients > 0.94. The area of study was modeled under four scenarios: tree-only buffers [cottonwood (Populus deltoides Bortr. ex Marsh.)]; grass-only buffers ([Tall fescue Schedonorus phoenix (Scop.) Holub, Red clover (Trifolium pretense L.), and Lespedeza (Lespedeza Michx)]); tree + grass buffers (a combination of the same tree and grass species of the other two scenarios; and a no-buffer scenario. The tree-only, grass-only, and tree + grass buffers reduced the total mass of NN discharged from the study unit to the lake by 98%, 97%, and 99%, respectively, compared to the no-buffer scenario. Doubling the buffer width from 15 m to 30 m decreased the NN discharge to the lake by 16-fold. Moreover, 7.5 m wide buffers had up to nine times greater NN discharge than 15 m buffers. Results show that agroforestry buffers with trees and grasses in riparian areas significantly remove NN exports in groundwater from agricultural fields, protecting the environment and human health.
Sensitivity Analysis-Aided Calibration of Urban Drainage Modeling
Authors: Kheshti Azar Morteza , Giudicianni Carlo , Creaco Enrico
Published: February 2025

This paper presents a novel methodology for the event-based calibration of urban drainage models based on conceptual simulation of external sub-catchments and physical representation of underground channels. Following the setup of the numerical model of an urban drainage system and the definition of the list of parameters, the methodology proposed is based on two steps, namely the application of sensitivity analysis for the identification of influent parameters and the calibration of the model on each event considering the reduced set of influent parameters by means of an optimizer. The methodology is applied to the Cascina Scala urban catchment in Pavia, northern Italy, for which a rainfall/runoff dataset is available for 14 events. In the applications, the urban drainage system is constructed in the EPA-SWMM environment, and a genetic algorithm is used for calibration. The results prove that the model parameterized with the innovative methodology features a very good fit to experimental data concerning hydrographs at the exit of the catchment while offering significant computational advantages compared with the usual calibration approach.
Analyzing Wave Dragon Under Different Wave Heights Using Flow-3D: A Computational Fluid Dynamics Approach
Authors: Moradi Mehrdad , Ilinca Adrian
Published: February 2025

Wave energy is an increasingly attractive renewable energy source due to its potential and predictability. Various Wave Energy Converters (WECs) have been developed, including attenuators, overtopping devices, and point absorbers. The Wave Dragon, an overtopping device, is a floating structure anchored to the seabed with a mooring system. It uses two reflectors to guide incoming waves into a central reservoir, where the captured water flows through turbines to generate electricity. This study enhances the realism of Wave Dragon simulations by modeling it as a moving structure with moorings, addressing key gaps in prior research. Real-time wave data from the Caspian Sea, collected over a year, were used to develop a 3D model and analyze the device’s performance under varying wave conditions. Four significant wave heights (Hs) of 1.5, 2.5, 3.5, and 4.5 m were tested. The results demonstrate that higher wave heights increase water flow through the turbines, leading to higher energy output, with monthly energy generation recorded as 16.03, 25.95, 31.45, and 56.5 MWh for the respective wave heights. The analysis also revealed that higher wave heights significantly increase pressure forces on the Wave Dragon, from 2.97 × 105 N at 1.5 m to 1.95 × 106 N at 4.5 m, representing a 6.5-fold increase. These findings underscore the potential of Wave Dragons to enhance renewable energy production while ensuring structural robustness in varying wave conditions.
Hydrodynamic Loads on Rectangular Bridge Decks at Very Low Proximity in Fixed and Movable Beds
Authors: Palermo Michele , Kumar Ajit , Wei Huan , Pagliara Stefano
Published: February 2025

Bridges positioned near riverbeds experience complex interactions between flow dynamics and structural geometry, significantly affecting hydrodynamic loading and stability. This study analyzes the effect of deck proximity to the bed on pressure distribution and hydrodynamic loading, including drag and lift forces. Experimental tests were conducted in a rectangular channel using a scaled bridge deck model, varying deck positions, flow conditions, and upstream–downstream water depth levels. To the best of the authors’ knowledge, for the first time, a comparative analysis of hydrodynamic loads on bridge decks was conducted using both rigid and deformable granular beds. Pressure distributions on the front, rear, and bottom faces of the deck were measured using transducers sensors. Our findings corroborate that changes in Reynolds number have minimal impact on the deck drag and lift coefficients, under identical submergence conditions, whereas both coefficients decrease with the Froude number for both bed types. More importantly, the analysis of experimental evidence unveiled some interesting aspects pertaining to the physics of the phenomenon, allowing us to provide the following, unprecedented results: (1) lift and drag coefficients significantly decrease with proximity, exhibiting much higher values than those reported in the literature for larger clearance; (2) under identical hydraulic conditions (both upstream and downstream of the deck), drag and lift coefficients are significantly amplified by the presence of rigid beds compared to granular beds; and (3) the scour evolution alters the effective deck proximity, resulting in time-dependent hydrodynamic loads acting on the deck.
The Competitive Dynamics of Mexican Fresh Grapes in the U.S. Market
Authors: Cano-Espinosa Domicio , Méndez-León Jaciel Ramsés
Published: February 2025

This study evaluated the competitive performance of Mexican fresh grape exports in the United States market from 2002 to 2022. Over this period, Mexican exports exhibited a pronounced declining trend, while competitors such as Chile and Peru significantly increased their market shares. Employing the Revealed Comparative Advantage (RCA) index and Constant Market Share analysis (CMSA), the growth dynamics of the export performance were systematically decomposed. The findings reveal a substantial contraction in Mexico’s export volumes and market share, which plummeted from 27.5% in 2002 to a mere 6.1% in 2022, alongside a marked decline in its RCA from 2.4 to 0.3. In stark contrast, Peru demonstrated remarkable growth, expanding its market share from 0.7% to 39.4%, driven by structural advantages and superior competitiveness. While Chile maintained consistent export volumes, it experienced a relative decline in its market share, ceding ground to emerging players like Peru. The analysis underscores the structural and competitive challenges confronting Mexico in the U.S. fresh grape market, emphasizing the urgent need for strategic policy interventions. These should focus on enhancing productivity, capitalizing on market opportunities, and bolstering agricultural competitiveness. Peru’s success underscores the critical role of dynamic production strategies and alignment with evolving market demands in securing sustained export growth.
Actividad antimicrobiana del extracto metanolico de los tallos de Verbena Litoralis
Authors: Guamán Ordoñez Juddy Anabel , Silverio Calderón Carmen Elizabeth , Morán Jonathan , Alvarado Caceres Jessica Vanessa
Published: February 2025

La herbolaria, también conocida como fitoterapia, ha sido reconocida como la forma más antigua para prevenir y tratar disímiles enfermedades. Más del 80% de la población mundial recurre al uso de las plantas medicinales para el cuidado de la salud. La Verbena litoralis se ha utilizado en diversas culturas por sus propiedades medicinales. Objetivo: Evaluar la actividad antibacteriana de los metabolitos secundarios presentes en el extracto metanólico del tallo de Verbena litoralis K, mediante el método de pozos en agar para la inhibición de Staphylococcus aureus. Materiales y métodos: Se utilizó un estudio experimental, tipo exploratorio, con una muestra de 60 tallos de la planta estudiada, recolectada en la Provincia de El Oro, Cantón Santa Rosa. Resultados: Se realizó un análisis de varianza, ANOVA, que mostró un valor de p < 0.05, lo que permite rechazar la hipótesis nula y sugiere diferencias significativas en, al menos, una de las concentraciones evaluadas, lo que implica un 5% de probabilidad de que los resultados sean atribuibles al azar, minimizando así el riesgo de error tipo I. Conclusiones: la investigación reveló que los tallos de Verbena litoralis Kunth presentan una humedad promedio del 8.15% y un contenido de cenizas totales del 3.39%, lo que asegura tanto la estabilidad como la alta pureza del producto, características fundamentales para su aplicación terapéutica, debido a su alto potencial antibacteriano. El análisis fitoquímico y la cromatografía en capa delgada han permitido identificar metabolitos secundarios, incluyendo alcaloides, azúcares reductores, fenoles y taninos, que sugiere posibles usos terapéuticos
Redes sociales y su impacto en la salud mental de estudiantes universitarios: un estudio bibliométrico
Authors: Valero Ancco Vidnay Noel , Sosa Gutierrez Fredy , Miranda Salas Vicentina Socorro
Published: February 2025

El uso creciente de las redes sociales en la actualidad se ha convertido en un tema crítico debido a su repercusión en la salud mental de los universitarios. Objetivo: Analizar las principales producciones científicas relacionadas con las redes sociales y su impacto en la salud mental de los estudiantes universitarios. Material y métodos: Se realizó un estudio bibliométrico descriptivo con un enfoque cuantitativo de trabajos publicados entre 2014 y 2024. Se identificaron y analizaron 277 documentos relevantes extraídos de la base de datos Scopus. Se utilizó el software VOSviewer para el análisis de co-ocurrencia de palabras clave y otras categorías pertinentes en la producción científica. Resultados: Se evidenció un aumento exponencial en la producción científica a partir de 2020, con un pico de 52 artículos en 2022. Este crecimiento se asocia con el impacto de la pandemia de COVID-19, que intensificó el uso de plataformas digitales como medio principal de interacción. Estados Unidos, Reino Unido y China destacaron como los países con la mayor cantidad de publicaciones en esta temática, aunque también hubo una representación significativa de otros países a nivel mundial. La revista International Journal of Environmental Research and Public Health se posicionó como la más productiva en este campo, mientras que Medicina fue el área temática con más investigaciones, seguida por Psicología y Ciencias Sociales. Conclusión: Es fundamental continuar el estudio de este fenómeno, enfocándose en intervenciones que utilicen las redes sociales de manera positiva para mejorar el bienestar mental de los estudiantes universitarios
Personalidad y comportamiento en reclusos en entornos penitenciarios: Una revisión sistemática
Authors: Saravia Paz Soldan Cathy Jacqueline
Published: February 2025

El estudio profundiza en la relación entre rasgos de personalidad y comportamientos en el entorno carcelario. Utilizando un enfoque metodológico mixto, el análisis incluye aspectos cuantitativos y cualitativos. Es así que nos planteamos la pregunta de investigación: ¿Cuáles son los principales hallazgos de la literatura científica abierta sobre la personalidad? Objetivo. Analizar las investigaciones disponibles en acceso abierto acerca de la influencia de la personalidad en el comportamiento de internos en entornos penitenciarios. Metodología. Se realizó una revisión sistemática en bases científicas como: Dialnet, DOAJ, ScienceDirect, SSOAR, JSTOR, durante el periodo 2019- 2024, incluyendo información en español e inglés, centrados en la relevancia, calidad metodológica y actualidad de los estudios. Resultados. La búsqueda de artículos para el estudio fue un total de 200, pero mediante los criterios de inclusión y exclusión, se seleccionaron 31 artículos para su análisis. Se destaca la importancia de la adaptación de programas terapéuticos individualizados para abordar las necesidades psicológicas específicas de los internos, lo cual podría contribuir significativamente a su rehabilitación y reintegración social Conclusión. Los programas basados en el análisis conductual, como los sistemas de fases que refuerzan comportamientos positivos, han mostrado ser efectivos para reducir la reincidencia. Estos sistemas permiten a los internos mejorar sus condiciones mediante la participación activa en actividades organizadas y comportamientos pro-sociales
Bienestar psicológico: una revisión teórica
Authors: Rozas Calderón Vanessa , Enciso Sotomayor Esmeralda
Published: February 2025

El presente artículo hace un análisis de diversas investigaciones sobre el bienestar psicológico, sobre todo aquellas que se han enfocado a hacer análisis teóricos sobre el concepto y la evolución del mismo. Se han revisado artículos publicados en plataformas confiables como Scopus, Scielo, Latindex y repositorios de universidades nacionales y extranjeras. En el análisis se ha observado que la mayoría de teorías sobre el bienestar psicológico, consideran factores contextuales, sociales y personales que contribuyen al desarrollo del mismo, además afirman que la variable no es estable a lo largo del desarrollo de las personas y que deben promoverse características que contribuyan a su desarrollo para garantizar que las personas lleguen a una etapa adulta y a la vejez en las mejores condiciones, puesto que altos niveles de bienestar psicológico se asocian a una mejor calidad de vida, menos dificultades en las relaciones sociales y mayores niveles de satisfacción, además de ser también un factor protector contra problemas de la vida diaria, situaciones estresantes o enfermedades. Se llega a la conclusión de que la teoría más completa sobre el bienestar psicológico es el modelo de Carol Ryff, quien considera seis dimensiones para la variable, asociadas a los factores que contribuyen a entenderla en su complejidad como constructo dinámico y en constante evolución
Relato de caso: Hérnia de Amyand associada a apendicite complicada
Authors: Ferreira Lucas , Meirelles Gabriel Alves , Lima Isabela Lopes , Silva Bruna Oliveira , Cruz Vinicius Machado Bringel de Castro , Bezerra Eduardo Rodrigues , Castro Daniela Cirqueira , Ferreira Rodrigo Costa
Published: February 2025

INTRODUÇÃO A hérnia de Amyand é um tipo raro de hérnia inguinal, que o conteúdo herniário é o próprio apêndice, o qual se pronuncia no canal inguinal. O objetivo do presente trabalho é o de relatar um caso de uma hérnia de Amyand que teve uma incomum complicação no pós-operatório tardio de abscesso escrotal. RELATO DE CASO Paciente do sexo masculino, 82 anos, admitido no pronto socorro (PS) do Hospital Geral de Palmas (HGP) relatando há 10 dias nodulação na região inguinal direita, irredutível, associada a dor e febre, sem peritonite. Negava alteração do trânsito intestinal. Dado diagnóstico de hérnia inguinal estrangulada, com ultrassonografia sem distensão de alças intestinais e conteúdo herniário indefinido. Encaminhado ao centro cirúrgico onde foi realizada hernioplastia e apendicectomia por técnica de Bassini, achados: hérnia inguinal indireta com apendicite grau IV. Alta hospitalar no 5º dia de pós-operatório com hematoma em bolsa escrotal moderado. Evoluiu em pós-operatório tardio com coleção em bolsa escrotal, sendo necessário realização de antibioticoterapia e drenagem cirúrgica. DISCUSSÃO A hérnia de Amyand pode se apresentar de forma semelhante a uma hérnia inguinal encarcerada ou estrangulada, o que torna os casos de diagnóstico pré-operatórios raros. A hérnia foi classificada como do tipo 2 pela classificação de Losanoff & Basson. Devido ao risco no uso de tela nas hérnias tipo 2, a técnica de Bassini foi escolhida. Complicações do pós-operatório comuns são reincidência da hérnia ou hematoma, sendo a formação hematoma ou abscesso escrotal uma variações mais raras.
Granuloma anular papular generalizado em paciente diabético: relato de caso
Authors: Saldanha Isabele Martins , Bittencourt Maraya de Jesus Semblano , Khoury Samara Tamires de Sousa , Leal Amélia Santos
Published: February 2025

Introdução: O granuloma anular (GA) configura como uma dermatose inflamatória benigna. A literatura descreve várias formas morfológicas. A forma generalizada é rara e apresenta-se como múltiplas pápulas, eritematosas, formando placas anulares. Porém, a morfologia papular isolada, na ausência das placas, é um fenômeno pouco comum para o GA generalizado. Assim, faz-se necessária discussão para acurácia diagnóstica. Relato de caso: Homem, 87 anos, apresentando múltiplas lesões pelo tronco, com 3 meses de evolução e prurido associado. É diabético e hipertenso. Ao exame dermatológico foram observadas múltiplas pápulas eritematosas, infiltradas e disseminadas, especialmente no dorso. O estudo histopatológico foi compatível com GA. Após quatro meses, paciente evoluiu com regressão total das lesões. Discussão: Sua etiologia e patogênese permanecem indeterminadas, no entanto, a doença tem sido muito associada ao diabetes mellitus, dentre outras condições. O diagnóstico do GA se dá pela correlação clínico-patológica. Devido ao caráter autolimitado, o GA tende a remissão espontânea. Tal fato dificulta a avaliação da eficácia do tratamento. Ainda assim, na literatura encontramos diversas opções terapêuticas. Conclusão: Diante do quadro, se faz fundamental a discussão clínica sobre o assunto afim de aprimorar o diagnóstico e proporcionar o melhor seguimento de forma individualizada.