bluuebunny/crossref_metadata_2025 huggingface dataset:
Microbial Mineralization-Based Rapid and High-Strength Simultaneous Repair of Surrounding Rock Fracture Zones and Lining Cracks
Authors: Zhang Rongzheng , Zhang Shixia , Song Zhichao , Shen Danyi , Wu Chuangzhou
Published: April 2024

Grouting technology based on microbial mineralization represents a novel approach to enhancing the properties of rock and soil. Widely studied for its combination of high efficiency and environmental friendliness, this method improves the strength and permeability of rock and soil. In this study, a novel approach involving bioslurry + filling particles was proposed to reinforce sand columns. It was observed that the addition of filling particles provided new nucleation sites for crystallization, significantly enhancing the cementation effect of sand particles. After 3 days of grouting treatment, sand columns containing 10% filling particles exhibited an order of magnitude reduction in permeability with the unconfined compressive strength (UCS) reaching 2.5 MPa, more than twice that of sand columns reinforced with bioslurry alone. Additionally, this study presented a method for the simultaneous repair of sand particles and concrete cracks. Results indicated that after 3 days of the grouting treatment, the interfacial shear strength between sand columns and concrete reached 100 kPa. Moreover, for concrete with crack apertures less than 1 mm, the permeability coefficient was reduced by over 80%, while the recovery ratio of the splitting tensile strength reached 64.2%. These findings highlight the potential of microbial mineralized grouting technology in addressing practical challenges, providing a foundation for the rapid and high-strength simultaneous repair of tunnel-surrounding rock fracture zones and lining cracks.
Requirement on the Capacity of Energy Storage to Meet the 2 °C Goal
Authors: Deng Yifei , Wang Yijing , Xing Xiaofan , Xiong Yuankang , Xu Siqing , Wang Rong
Published: April 2024

The inherent power fluctuations of wind, photovoltaic (PV) and bioenergy with carbon capture and storage (BECCS) create a temporal mismatch between energy supply and demand. This mismatch could lead to a potential resurgence of fossil fuels, offsetting the effects of decarbonization and affecting the realization of the Paris target by limiting global warming to below 2 °C in the 21st century. While application of energy storage is widely recommended to address this limitation, there is a research gap to quantify the impacts of energy storage limitation on global warming. Here, we analyzed the hourly variation of global wind and PV power during the period 1981–2020 and the monthly capacity of biomass production in 2019, and thus quantified the impact of decreasing the capacity of energy storage on global warming using a state-of-the-art Earth system model. We found that global warming by 2100 in the SSP1-2.6 scenario would increase by about 20% and exceed 2 °C without deploying energy storage facilities. Achieving the 2 °C target requires reducing power losses of wind and PV by at least 30% through energy storage. This requirement delivers to a cumulative storage capacity of 16.46 TWh using batteries during the period 2021–2100, leading to the international trade of cobalt and manganese across countries due to deficits of minerals at a country level. In the context of energy security, we highlight the importance of considering the limitations of energy storage and mineral shortage in the forthcoming policies of decarbonization.
The Influence Mechanism of Online Social Network Relationships on Sustainable Entrepreneurial Success
Authors: Chen Xianhuan , Ma Yiming , Xie Yuguang
Published: April 2024

Affected by economic uncertainty, the success rate of sustainable entrepreneurship is not optimistic at present. Effectively improving the success rate of sustainable entrepreneurship is of great significance for ensuring and maintaining sustainable development for long-term socioeconomic and environmental sustainability. Based on social network theory, entrepreneurial capital theory, psychological capital theory, and the literature on sustainable entrepreneurship, this study explores the influence mechanism of online social network relationships on sustainable entrepreneurial success from the perspective of those relationships, dividing entrepreneurs’ abilities into an online relationship-building ability and online relationship coordination ability. We used an empirical study with 346 valid questionnaires. The results of a PLS-SEM analysis show that online social network relationships have a significant impact on sustainable entrepreneurial capital, in which online relationship-building capacity has a similar impact on both sustainable entrepreneurial resource integration and acquisition; online relationship-building capacity can positively affect both transactional and interpersonal psychological capital; sustainable entrepreneurial resource integration can be more effective than resource acquisition in promoting sustainable entrepreneurial success through the use of social media; and transactional psychological capital has a more significant impact on sustainable entrepreneurial success than does interpersonal psychological capital. This study provides new insights into how entrepreneurs can fully utilize their online social network relationships to achieve entrepreneurial success.
Consumer Behaviour Regarding Certified Food
Authors: Bravo Ilenia , Colamatteo Ilenia , Balzano Simona , Cappelli Lucio , Iannucci Enrica
Published: April 2024

The consumer decision-making process for buying food products is based on various factors. One of these is the perceived value that the consumer acquires upon seeing a certification label, such as “Protected Designation of Origin” (PDO) and “Protected Geographical Indication” (PGI), which is an indicator of product quality and the degree of sustainability of the supply chain. The aim of the study is to identify the main factors influencing the behaviour and purchasing intentions of Italian consumers through the divulgation of a survey and the application of a statistical approach. The results were elaborated upon using a conceptual model, estimated following the partial least squares approach to structural equation modelling. As a result, the perception of quality influences purchasing decisions and food patterns, as labels play an increasing role in contemporary society, thus making quality standards relevant for the buying outcome. This research contributes to supporting studies on the importance of certifications of origin, as well as highlighting that food safety is a major determinant in the purchasing of certified food products.
Multi-Criteria Decision Analysis of an Innovative Additive Manufacturing Technique for Onboard Maintenance
Authors: Falkonakis Ioannis , Lotfian Saeid , Yeter Baran
Published: April 2024

Access to spare parts in the maritime industry is limited throughout most of a ship’s life cycle. The limitation is caused by both the geographical distance of vessels from suppliers and the often limited turnaround time during which parts can be delivered. Manufacturing some parts onboard is possible, but it is a time-consuming and labour-intensive process. Advanced manufacturing techniques could be used to improve access to spare parts at sea by combining the desirable materials properties and flexibility of Direct Energy Deposition (DED) and the higher dimensional tolerances of Computer Numerical Control (CNC) manufacturing. The present study assesses the comparative viability of onboard implementation of advanced manufacturing techniques for offshore assets as a capital investment in different modes against an option of no onboard advanced manufacturing using a multi-criteria decision analysis method. To this end, a Technique to Order Preference by Similarity to Ideal Solution (TOPSIS) is employed considering the techno-economic and environmental aspects of the decision-making process as well as the inherent challenges that come with a new area of research. Finally, the challenges, opportunities, and pathways to onboard maintenance using additive manufacturing are discussed within the scope of the sustainable future for ship and offshore energy assets.
The Moderating Effect of ESG Level in the Relationship between Digital Transformation Capability and Financial Performance: Evidence from Foreign Subsidiaries of Korean Firms
Authors: Han Ga-Rog , Lee Jae-Eun
Published: April 2024

This study empirically analyzed the effect of digital transformation capability on the financial performance of foreign subsidiaries of Korean listed firms, focusing on the moderating effect of the ESG level. The results of an empirical analysis on data from 483 foreign subsidiaries of Korean listed firms collected through surveys from February to May 2021 are as follows. First, it was found that digital transformation capability had a positive effect on financial performance. Second, as a result of analyzing the moderating effect of the ESG level, it was found that the environmental (E) level and the social (S) level in ESG strengthened the positive relationship between digital transformation capability and financial performance. However, it was found that the level of governance (G) in ESG rather weakens the positive relationship between digital transformation capability and financial performance. The results of this study suggest that foreign subsidiaries need to actively build digital transformation capability in order to improve their financial performance. Since the results of this study suggest different moderating effects of ESG, practical implications can be suggested that foreign subsidiaries should consider the fact that different effects may occur for each ESG activity if they want to improve their financial performance through digital transformation capability.
Leveraging Technology Enhancement: The Well-Being Emotional Intelligence, Security Keys to the University Students’ Readiness in Digital Learning Ecosystem
Authors: Susanto Heru , Setiana Desi , Besar Norainna , Najib Ali Muhamad , Susanto Alifya Kayla Shafa , Seruddin Rozaidin , Ibrahim Fahmi
Published: April 2024

The principle of the digital learning ecosystem is the application of the educational process through digital learning environment platforms that help users learn more effectively. Educational institutions, teachers and students must evolve to adapt and be ready for the new world of learning. The individual’s emotional quality can influence their readiness in the digital learning ecosystem. This study aimed to examine whether there is a significant relationship between students’ readiness in the digital learning ecosystem and their emotional intelligence levels. This study utilized a correlational research method and multiple linear regression analysis. For data collection, the primary tools used were Trait Emotional Intelligence Scale-Short Form (TEIS-SF) and the Online Learning Readiness Scale (OLRS). The questionnaires were administered to 103 students enrolled in seven different higher institutions in Brunei. The results of the research showed that there was a link between students’ online learning readiness levels and their emotional intelligence levels. This study found that students with a high well-being sub-dimension of emotional intelligence had high online learning readiness levels.
Potential Impact of Sustainable Business Practices: Brand Equity in Fast Food and Millennials’ Purchase Intentions
Authors: Guzmán Valle María de los Ángeles , Arbulú Ballesteros Marco Agustín , Guzmán Valle César Augusto , Montes Ninaquispe Jose Carlos , Pantaleón Santa María Alberto Luis , Ruiz Chacón Stephanie Virginia , Lamadrid Aldana Milagros , Castro Muñoz William Teófilo
Published: April 2024

This study was carried out because we live in a world of constant change and high competition, where local fast-food brands in Chiclayo do not have an adequate position in the consumer’s mind compared to international franchises established in our town. The general objective was to determine the influence of brand equity on the purchase intention for local fast-food brands among Chiclayo millennials. The model proposed includes the constructs of brand equity in various category of food products. This document is intended to contribute to society and the scientific community by providing strategic support to brand owners who work with this approach and individual managers. A quantitative approach was used, with a basic type, explanatory level, and non-experimental cross-sectional design, using Cronbach’s alpha for reliability of the instrument and validity by expert judgment. Customers of local fast-food brands comprised the sample, with a total of 385 people surveyed independent of gender. SPSS v.27 and Microsoft Excel 2019 were used for simple random sampling. It was concluded that millennial consumers have regular brand equity and purchase intention for local fast-food brands, emphasizing that the knowledge dimension does not significantly influence purchase intention.
Neonicotinoid Effects on Soil Microorganisms: Responses and Mitigation Strategies
Authors: Briceño Gabriela , Diez Maria Cristina , Palma Graciela , Jorquera Milko , Schalchli Heidi , Saez Juliana María , Benimeli Claudia Susana
Published: April 2024

Pesticides play a critical role in pest management and agricultural productivity; however, their misuse or overuse can lead to adverse effects on human health and the environment, including impacts on ecosystems and contamination. Currently, neonicotinoids (NNIs) are the most widely used systemic insecticides and are questioned worldwide for their possible impacts on pollinators. After NNI application, a substantial portion is not absorbed by the plant and may accumulate in the soil, affecting the soil microbial community. In this review, we explore the main studies carried out either in the laboratory or in the field about this matter. The studies report that the application of NNIs affects soil microbial activity and can act on microbial communities differently due to their unique chemical properties, degradation in soil, soil type, effects on soil properties, and methods of application. NNIs alter the diversity, structure, and abundance of soil microbes, in some cases increasing or decreasing their representativeness in soil. Bacterial phyla like Pseudomonadota, Bacillota, Actinomycetota, and Nitrospirota increase after NNI exposure, just like the families Nitrosomonadaceae, Nitrososphaeraceae, Nitrospiraceae, Sphingomonadaceae, Streptomycetaceae, and Catenulisporaceae. At the bacterial genus level, Nitrospira was associated with a decrease in nitrification processes in soil. The bacterial genera Sphingomonas, Streptomyces, Catenulispora, Brevundimonas, Pedobacter, and Hydrogenophaga are related to NNI degradation after application. Microorganisms could minimize the impacts of NNIs in agricultural soil. Therefore, the use of bioinoculation as a bioremediation tool is explored as an alternative to contribute to agricultural sustainability.
Developing an Adaptive Neuro-Fuzzy Inference System for Performance Evaluation of Pavement Construction Projects
Authors: Sirin Okan , Gunduz Murat , Al Nawaiseh Hazem M.
Published: April 2024

This study employs an adaptive neuro-fuzzy inference system (ANFIS) to identify critical success factors (CSFs) crucial for the success of pavement construction projects. Challenges such as construction cost delays, budget overruns, disputes, claims, and productivity losses underscore the need for effective project management in pavement projects. In contemporary construction management, additional performance criteria play a vital role in influencing the performance and success of pavement projects during construction operations. This research contributes to the existing body of knowledge by comprehensively identifying a multidimensional set of critical success performance factors that impact pavement and utility project management. A rigorous literature review and consultations with pavement experts identified sixty CSFs, categorized into seven groups. The relative importance of each element and group is determined through the input of 287 pavement construction specialists who participated in an online questionnaire. Subsequently, the collected data undergo thorough checks for normality, dependability, and independence before undergoing analysis using the relative importance index (RII). An ANFIS is developed to quantitatively model critical success factors and assess the implementation performance of construction operations management (COM) in the construction industry, considering aspects such as clustering input/output datasets, fuzziness degree, and optimizing five Gaussian membership functions. The study confirms the significance of three primary CSFs (financial, bureaucratic, and governmental) and communication-related variables through a qualitative structural and behavioral validation process, specifically k-fold cross-validation. The outcomes of this research hold practical implications for the management and assessment of overall performance indices in pavement construction projects. The ANFIS model, validated through robust testing methodologies, provides a valuable tool for industry professionals seeking to enhance the success and efficiency of pavement construction endeavors.
A Landscape Approach to Understanding Carbon Sequestration Assets at a State-Wide Scale for Sustainable Urban Planning
Authors: Lai Siqi , Zhang Le , Zeng Yijun , Deal Brian
Published: April 2024

This study presents a refined approach to spatially identify carbon sequestration assets, crucial for effective climate action planning in Illinois. By integrating landscape analytical methods with species-specific carbon assessment techniques, we deliver a nuanced evaluation of forest area sequestration potential. Our methodology employs a combination of landscape imagery, deep learning analytics, Kriging interpolation, and i-Tree Planting tools to process forest sample data. The results reveal a spatial variability in sequestration capacities, highlighting significant carbon sinks in southern Illinois. This region, known for its historical woodland richness, showcases the distinct carbon sequestration abilities of various tree species. Findings emphasize the role of biodiversity in the carbon cycle and provide actionable insights for forest management and carbon neutral strategies. This study demonstrates the utility of advanced spatial analysis in environmental research, underscoring its potential to enhance accuracy in ecological quantification and conservation efforts.
Human Reliability Analysis for Fishing Vessels in Korea Using Cognitive Reliability and Error Analysis Method (CREAM)
Authors: Lee Donghun , Kim Hyungju , Koo Kwiyeon , Kwon Sooyeon
Published: April 2024

In this paper, we introduce a model designed to predict human error probability (HEP) in the context of fishing boat operations utilizing the cognitive reliability and error analysis method (CREAM). We conducted an analysis of potential accidents on fishing boats and calculated the cognitive failure probability (CFP) for each identified accident. The common performance conditions (CPCs) from the original CREAM were adapted to better reflect the conditions on fishing boats, with the adapted CPCs’ validity confirmed through expert consultations. To apply CREAM, data were gathered via a survey of fishermen, with the uncertainty in the collected data addressed through the application of fuzzy set theory (FST). We then established a Bayesian network (BN) model to elucidate the relationship between the fuzzy data and HEP, utilizing a weighted sum algorithm to determine conditional probabilities within the BN. Both basic and extended versions of CREAM were applied to analyze the most common accidents among fishermen, calculating the CFP for each type of accident. According to our analysis, the poorer the dynamic CPC, the higher the probability that a fall accident will occur inside the boat due to human error, necessitating a countermeasure. The paper proposes safety enhancements for small fishing boats and illustrates the increased precision of human reliability analysis (HRA) models in forecasting human error by incorporating quantitative methods. It calls for further data collection and refinement of the model for more accurate operational risk assessments.
Vegetation Analysis in the Archaeological Area of Pasargadae WHS (Iran) Enhancing the Naturalistic Value of the Site within the Occurring Environmental Changes
Authors: Zangari Giulio , Hosseini Zohreh , Caneva Giulia
Published: April 2024

This study provides pioneering research on the vegetation of archaeological areas in Iran to enhance its naturalistic and bioindication values by selecting the Pasargadae World Heritage Site (WHS). Vegetation surveys were carried out in different homogeneous habitats, analyzing the plant communities through statistical elaboration, syntaxonomic role, mapping, and enhancement of plants with conservation interest. In an ecological approach, the study included an analysis of the recent climate changes and human interventions influencing the water resources. Results revealed seven main vegetation types reflecting ecological gradients shaped by environmental, edaphic, and anthropogenic factors. The syntaxonomic analysis showed a primary subdivision in semi-natural grasslands and synanthropic vegetation. Several key species were identified as bioindicators of multiple factors, such as: Launaea acanthodes, Stipa barbata, Alhagi maurorum, Bellevalia saviczii, Glycyrrhiza glabra, Convolvulus arvensis, and Hordeum murinum. The vegetation map showed how the hilly grassland communities hosted the highest number of species with conservation interest and their need to be better protected. Bio-climatic data, such as the construction of dams and the exploitation for irrigation purposes, pointed to the increasing xeric conditions, which make urging conservation efforts for the site’s historical and naturalistic values. The study underscores the importance of preserving places with high plant diversity for effective site management, and enhances the intricate relationship between vegetation and natural features in the occurring environmental changes.
Analyzing GDP Growth Drivers in Saudi Arabia: Investment or Consumption: An Evidence-Based ARDL-Bound Test Approach
Authors: Mohammed Mwahib Gasmelsied Ahmed
Published: April 2024

This study delves into the intricate interplay of economic growth components, specifically focusing on consumption and investment in Saudi Arabia from 2000 to 2022. Employing vector error correction models and co-integration techniques, we analyze the short- and long-term dynamics within the relationship of consumption, investment, and economic growth. Granger causality analysis is also used to discern these pivotal variables’ causal connections. Our empirical analysis reveals a persistent long-term cointegration relationship among the variables, underscoring the enduring nature of their interdependency. Furthermore, our findings highlight consumption and investment’s statistically significant positive impact on economic growth. Notably, the short-term analysis unveils a stable model characterized by an annual adjustment to equilibrium of 100%. Moreover, the Granger causality study demonstrates unidirectional causal linkages among consumption, investment, and economic growth. These findings hold substantial implications for policy formulation in Saudi Arabia. Policymakers must grasp the ramifications of burgeoning prosperity and evolving private consumption patterns on future environmental outcomes. Achieving sustainable long-term results necessitates equal emphasis on bolstering private consumption and fostering other facets of economic growth.
An Optimization Algorithm for Embedded Raspberry Pi Pico Controllers for Solar Tree Systems
Authors: Punitha K. , Rahman Akhlaqur , Radhamani A. S. , Nuvvula Ramakrishna S. S. , Shezan Sk. A. , Ahammed Syed Riyaz , Kumar Polamarasetty P. , Ishraque Md Fatin
Published: April 2024

Solar photovoltaic (PV) systems stand out as a promising solution for generating clean, carbon-free energy. However, traditional solar panel installations often require extensive land resources, which could become scarce as the population grows. To address this challenge, innovative approaches are needed to maximize solar power generation within limited spaces. One promising concept involves the development of biological tree-like structures housing solar panels. These “solar trees” mimic the arrangement of branches and leaves found in natural trees, following patterns akin to phyllotaxy, which correlates with the Fibonacci sequence and golden ratio. By adopting an alternative 1:3 phyllotaxy pattern, three solar panels can be efficiently arranged along the stem of the solar tree structure, each rotated at a 120-degree displacement. Optimizing the performance of solar trees requires effective maximum power point tracking (MPPT), a crucial process for extracting the maximum available power from solar panels to enhance the overall efficiency. In this study, a novel metaheuristic algorithm called horse herd optimization (HHO) is employed for MPPT in solar tree applications. Moreover, to efficiently manage the generated power, a cascaded buck–boost converter is utilized. This converter is capable of adjusting the DC voltage levels to match the system requirements within a single topology. The algorithm is implemented using MATLAB and embedded within a Raspberry Pi Pico controller, which facilitates the generation of pulse-width modulation (PWM) signals to control the cascaded buck–boost converter. Through extensive validation, this study confirms the effectiveness of the proposed HHO algorithm integrated into the Raspberry Pi Pico controller for optimizing solar trees under various shading conditions. In essence, this research highlights the potential of solar tree structures coupled with advanced MPPT algorithms and power management systems to maximize solar energy utilization, offering a sustainable solution for clean energy generation within limited land resources.
Simulation-Based Resilience Evaluation for Urban Rail Transit Transfer Stations
Authors: Yin Xinyao , Chen Junhua , Li Yuexuan
Published: April 2024

Disturbances often occur in transfer stations; however, little is known about the weaknesses of transfer stations and their ability to cope with passenger flows. Therefore, this paper introduces resilience into the study of transfer stations to enhance their emergency response processes and improve the sustainability of URT networks. It establishes a two-level fuzzy evaluation model, using the G1 weighting method, to assess resilience across various scenarios (daily operation, heavy passenger flow, and emergencies) and identify weaknesses; then, corresponding enhancement strategies are proposed. First, factor sets are established according to resilience stages, including rapidity before disturbance, robustness, redundancy, resourcefulness, and rapidity after disturbance. Using the G1 method, the weight matrix for each factor is calibrated, and a membership degree matrix is determined based on their affiliation with the review set. Multiplying the weight matrix and membership degree matrix yields the resilience value. We apply these steps to a representative station with the assistance of Anylogic simulation in calculating the hard-to-obtain data, yielding a peak-hour resilience value of 0.3425, which indicates a “poor” rating in the review set. By combining the peak-hour resilience with resilience curves under different multiples of peak-hour flows, an enhancement prioritization strategy is proposed for the station, which can act as a reference for the management of URT transfer stations.
Peptide Toxins from Antarctica: The Nemertean Predator and Scavenger Parborlasia corrugatus (McIntosh, 1876)
Authors: Jacobsson Erik , Strömstedt Adam A. , Andersson Håkan S. , Avila Conxita , Göransson Ulf
Published: April 2024

Peptide toxins from marine invertebrates have found use as drugs and in biotechnological applications. Many marine habitats, however, remain underexplored for natural products, and the Southern Ocean is among them. Here, we report toxins from one of the top predators in Antarctic waters: the nemertean worm Parborlasia corrugatus (McIntosh, 1876). Transcriptome mining revealed a total of ten putative toxins with a cysteine pattern similar to that of alpha nemertides, four nemertide-beta-type sequences, and two novel full-length parborlysins. Nemertean worms express toxins in the epidermal mucus. Here, the expression was determined by liquid chromatography combined with mass spectrometry. The findings include a new type of nemertide, 8750 Da, containing eight cysteines. In addition, we report the presence of six cysteine-containing peptides. The toxicity of tissue extracts and mucus fractions was tested in an Artemia assay. Notably, significant activity was observed both in tissue and the high-molecular-weight mucus fraction, as well as in a parborlysin fraction. Membrane permeabilization experiments display the membranolytic activity of some peptides, most prominently the parborlysin fraction, with an estimated EC50 of 70 nM.
Environmental Factors Modulate Saxitoxins (STXs) Production in Toxic Dinoflagellate Alexandrium: An Updated Review of STXs and Synthesis Gene Aspects
Authors: Bui Quynh Thi Nhu , Pradhan Biswajita , Kim Han-Sol , Ki Jang-Seu
Published: April 2024

The marine dinoflagellate Alexandrium is known to form harmful algal blooms (HABs) and produces saxitoxin (STX) and its derivatives (STXs) that cause paralytic shellfish poisoning (PSP) in humans. Cell growth and cellular metabolism are affected by environmental conditions, including nutrients, temperature, light, and the salinity of aquatic systems. Abiotic factors not only engage in photosynthesis, but also modulate the production of toxic secondary metabolites, such as STXs, in dinoflagellates. STXs production is influenced by a variety of abiotic factors; however, the relationship between the regulation of these abiotic variables and STXs accumulation seems not to be consistent, and sometimes it is controversial. Few studies have suggested that abiotic factors may influence toxicity and STXs-biosynthesis gene (sxt) regulation in toxic Alexandrium, particularly in A. catenella, A. minutum, and A. pacificum. Hence, in this review, we focused on STXs production in toxic Alexandrium with respect to the major abiotic factors, such as temperature, salinity, nutrients, and light intensity. This review informs future research on more sxt genes involved in STXs production in relation to the abiotic factors in toxic dinoflagellates.
Proper Orthogonal Decomposition Based Response Analysis of Inlet Distortion on a Waterjet Pump
Authors: Cao Puyu , Yue Rui , Zhang Jinfeng , Liu Xinrui , Wu Gang , Zhu Rui
Published: April 2024

This study addresses the challenge of performance degradation in waterjet pumps due to non-uniform suction flow. Utilizing the Proper Orthogonal Decomposition (POD) method, it decomposes and reconstructs the flow features within a waterjet pump under non-uniform inflow into a series of modes ranked in descending order of energy. By analyzing the modes with dominant energy, which contain complex information about the flow field, it is revealed that modes 1 and 2 predominantly represent the formation of a concentrated vortex, whereas modes 3 and 4 illustrate its spatial offset. Notably, in the hub section, mode 3 exhibits a delayed flow separation caused by the reduction of circumferential vortex (CV), with a consequent lift in blade loading at the leading edge and a higher head compared to mode 1. In the shroud section, the delayed flow separation in mode 3 suppressed reverse flow and the concentrated separation vortex (CSV) and then increased the blade loading, ultimately enhancing the pump head. The findings provide significant insights into optimizing waterjet pump performance by detailing the interactions between various flow structures and pump components, effectively filling a knowledge gap in applying dimensionality reduction techniques within the distorted flow fields of water jet pumps.
Daily Streamflow Forecasting Using Networks of Real-Time Monitoring Stations and Hybrid Machine Learning Methods
Authors: Zhang Yue , Zhou Zimo , Deng Ying , Pan Daiwei , Van Griensven Thé Jesse , Yang Simon X. , Gharabaghi Bahram
Published: April 2024

Considering the increased risk of urban flooding and drought due to global climate change and rapid urbanization, the imperative for more accurate methods for streamflow forecasting has intensified. This study introduces a pioneering approach leveraging the available network of real-time monitoring stations and advanced machine learning algorithms that can accurately simulate spatial–temporal problems. The Spatio-Temporal Attention Gated Recurrent Unit (STA-GRU) model is renowned for its computational efficacy in forecasting streamflow events with a forecast horizon of 7 days. The novel integration of the groundwater level, precipitation, and river discharge as predictive variables offers a holistic view of the hydrological cycle, enhancing the model’s accuracy. Our findings reveal that for a 7-day forecasting period, the STA-GRU model demonstrates superior performance, with a notable improvement in mean absolute percentage error (MAPE) values and R-square (R2) alongside reductions in the root mean squared error (RMSE) and mean absolute error (MAE) metrics, underscoring the model’s generalizability and reliability. Comparative analysis with seven conventional deep learning models, including the Long Short-Term Memory (LSTM), the Convolutional Neural Network LSTM (CNNLSTM), the Convolutional LSTM (ConvLSTM), the Spatio-Temporal Attention LSTM (STA-LSTM), the Gated Recurrent Unit (GRU), the Convolutional Neural Network GRU (CNNGRU), and the STA-GRU, confirms the superior predictive power of the STA-LSTM and STA-GRU models when faced with long-term prediction. This research marks a significant shift towards an integrated network of real-time monitoring stations with advanced deep-learning algorithms for streamflow forecasting, emphasizing the importance of spatially and temporally encompassing streamflow variability within an urban watershed’s stream network.
Flood Water Depth Prediction with Convolutional Temporal Attention Networks
Authors: Chaudhary Priyanka , Leitão João P. , Schindler Konrad , Wegner Jan Dirk
Published: April 2024

Robust and accurate flood hazard maps are essential for early warning systems and flood risk management. Although physically based models are effective in estimating pluvial flooding, the computational burden makes them difficult to use for real-time flood prediction. In contrast, data-driven models can provide faster flood predictions if trained offline. While most studies have focused on predicting maximum water depth, in this study, we predict pixel-wise water depth maps for entire catchments at a lead time of 2 h. To that end, we propose a deep learning approach that uses a sequence encoding network with temporal self-attention. We also adapt the popular hydrological performance metric Nash–Sutcliffe efficiency (NSE) as our loss function. We test the effectiveness and generalizability of our method using a new dataset called SwissFlood, which consists of 100 catchments and 1500 rainfall events extracted from real observations in Switzerland. Our method produces 2 m spatial resolution flood maps with absolute error as low as 27 cm for water depth exceeding 1 m.
Water Stable Isotopes in the Central Altai Mountainous Rivers as Indicator of Glacier Meltwater Fraction in Runoff
Authors: Bantcev Dmitrii , Rasputina Valeriia , Ovsepian Anaiit , Griga Semyon , Kozachek Anna , Tchikhatchev Kirill , Ganyushkin Dmitrii
Published: April 2024

We used stable water isotopes (δ18O and δ2H) to identify the fractions of glacier meltwater and summer precipitation in the runoff in the Taldura River in the Altai mountains. The mean isotopic characteristics of glacier ice, snow, summer precipitation and river water were obtained. Using isotopic separation of hydrographs, we determined that glacier feeding completely prevails throughout the Taldura River in the middle of the ablation season. In general, the fraction of glacier meltwater in the Taldura River’s runoff in the ablation season varies from 80% to 95% depending on local weather conditions.
A tiktokização como estratégia de combate à desinformação
Authors: Lindemann Cristiane , Schuster Patrícia Regina
Published: April 2024

Nosso artigo tem como objetivo examinar como aquilo que estamos chamando de tiktokização do jornalismo atua no combate à desinformação. A intenção é avançar nas contribuições científicas acerca do conceito, ainda pouco explorado pela agenda acadêmica. Estipulamos ainda como objetivo analisar, sob o amparo metodológico da Análise de Conteúdo (AC), quais são as estratégias narrativas que a Agência Lupa utiliza na plataforma TikTok, tanto para divulgação de fact-checking, quanto para promover a literacia midiática. Foram submetidos à investigação 24 vídeos, veiculados entre os meses de julho a dezembro de 2022. Concluímos que há uma movimentação por parte da referida iniciativa para “informar-educar”, oferecendo conteúdos com estruturas narrativas que incorporam algumas potencialidades estéticas da plataforma – o que percebemos como um imperativo estratégico. Além disso, numa aposta à condição emotiva do jornalismo, a Lupa subverte o uso do artifício da emoção. Tão empregada no contexto da desinformação, em prol da dilatação do fenômeno da pós-verdade, em que evidências são substituídas por crenças pessoais, o apelo emotivo – utilizado pela agência através do recurso meme – visa, neste caso, simplificar ou reforçar a veracidade do acontecimento narrado.
A comunicação corporativa e o consumo de ativismo: o caso da Simple Organic no Instagram
Authors: Fischer Giovanna Masiero , Tondato Marcia Perencin
Published: April 2024

O objetivo deste artigo é refletir sobre a configuração da comunicação corporativa como estímulo ao consumo de ativismo na pós-modernidade, suas características e formas de expressão. No contexto de nossa problematização, caracterizamos o consumo como um ato de expressão identitária e cultural, entendendo que os símbolos são utilizados como forma de atribuição de significados e valores. A problematização diz respeito a como o estímulo ao consumo de ativismo engendra a ordem capitalista pós-moderna, em um sistema que se retroalimenta e se transforma a partir das suas próprias inquietações, utilizando as mídias sociais para aumentar o alcance da narrativa e atingir uma audiência mais ampla. Para responder a isso, realizamos um estudo tendo como base um perfil de produtos veganos no Instagram (Simple Organic) observando como se configura o conteúdo das postagens da empresa em relação aos símbolos apresentados, entre 04 e 14 de outubro de 2023. Analisamos a estratégia discursiva da marca sob a ótica de deslocamentos identitários, buscando entender os padrões narrativos empregados. Observamos nas narrativas da marca, nas redes sociais, uma tendência à apropriação de signos de consumo já estabelecidos culturalmente.
Representações do aborto em cena: disputas narrativas e construção do direito humano à vida
Authors: Borges Vânia Coutinho Quintanilha , Borges Wilson Couto
Published: April 2024

Nossa reflexão parte de pensar o lugar que o aborto – e uma perspectiva de controle sobre o corpo da mulher – ocupa em nossa sociedade. Associada a essa primeira dimensão, nosso foco recai sobre o processo de descriminalização (em oposição a criminalização vigente) do aborto, concebendo-o como uma prática que precisa estar imersa numa série de cuidados cuja dimensão da saúde da mulher ocupa lugar central. Em 1988, com a Constituição Cidadã, a ADPF 442 torna-se um ponto de tensão entre a manutenção da criminalização do aborto ou sua descriminalização. Com o avanço das pautas conservadoras, observa-se como o debate sobre o aborto é atravessado por elementos constitutivos da nossa realidade, especialmente pela centralidade que a mídia vem ocupando desde o final do século passado e cuja capilaridade se acentua neste século. Tal protagonismo passa a ser tão ou mais significativo à medida que a chegada da internet e das redes sociais digitais multiplicam os polos de produção de conteúdo – assumido aqui como narrativa – gerando novos partícipes das mais variadas agendas. Assim, a arruda e a “maré verde” são tomadas como símbolos que serão apropriados por grupos partidários da descriminalização do aborto em oposição aos que defendem a manutenção da criminalização.
Empreendedorismo como propósito: o ethos discursivo dos “cases de sucesso” do inChurchapp
Authors: Nogueira Deivison Brito
Published: April 2024

O artigo tem como foco de pesquisa o aplicativo inChurch criado para fazer a gestão operacional e financeira de instituições religiosas. Busca-se compreender como o aplicativo inChurch modifica o ethos discursivo das instituições religiosas. Expressões como “captação de fiéis”, “gestão da membresia” e “retenção de pessoas” refletem o ethos discursivo do mundo dos negócios. A abordagem metodológica proposta pelo artigo consiste na construção do ethos discursivo por meio da análise de cases de sucesso de igrejas-clientes que utilizam o aplicativo inChurch. O referencial teórico adota uma perspectiva crítica dividida em três partes: a) as mudanças na relação entre fiéis e igrejas e a expansão das plataformas digitais; b) o uso de aplicativos móveis pelas instituições religiosas em um contexto de midiatização da sociedade; c) a análise do ethos discursivo dos líderes religiosos em um contexto neoliberal. A argumentação sugere que as plataformas digitais, especialmente o uso de aplicativos de gestão, têm modificado a maneira como as igrejas lidam com questões relacionadas à “expansão do reino”, visto que associar igreja ao mundo dos negócios torna-se uma contradição, uma vez que as instituições religiosas geralmente prezam por práticas desvinculadas de rentabilidade.
QUEM TEM MEDO DA COR ROSA? EDUCAÇÃO DE MENINOS E MENINAS
Authors: Baliscei João Paulo
Published: April 2024

Socialmente, é comum que se recorram às cores para caracterizar e distinguir meninos e meninas. Isso ocorre, inclusive, em espaços escolares, onde a educação está em disputa e as cruzadas e resistências desse tema perpassam, dentre tantos elementos, as cores. Quem tem medo do rosa, e por que o tem? Este artigo, metodologicamente bibliográfico, tem como objetivo investigar as relações de gênero propostas aos meninos e meninas, em âmbitos educativos e escolares, a partir da cor rosa. Para alcançá-lo, apresentam-se dois tópicos. No primeiro, debruça-se sobre pesquisas dos Estudos Culturais que verificam como, em contextos escolares da Educação Infantil e do Ensino Fundamental, meninos e meninas se relacionam com a cor rosa. No segundo, explica-se a relação pejorativa que se tem feito entre cor rosa e homossexualidade, referindo-se ao sistema de identificação adotado pelo nazismo alemão, e exemplificando como ele ainda aparece em situações cotidianas. Por fim, analisa-se que há uma associação duplamente negativa em relação a cor rosa e sublinho os prejuízos que, desde a educação, isso acarreta ao desenvolvimento das crianças.
CENAS DE GÊNERO E HETERONORMATIVIDADE NA EDUCAÇÃO INFANTIL: entre permanências e mudanças
Authors: Almeida Cássia Cristiane Lopes de , Mendonça Vivane Melo de
Published: April 2024

Essa pesquisa traz cenas e discursos de gênero e heteronormatividade que se articulam com seus respectivos referenciais teóricos. A perspectiva metodológica é qualitativa e partiu das memórias de professora-pesquisadora e também de entrevistas semiestruturadas realizadas com profissionais da educação, tendo como objetivo compreender se/quando o gênero e a heteronormatividade estão na atuação de professoras, auxiliares de educação, gestoras/es e funcionárias/os na Educação Infantil. Observou-se que estas pessoas estão reproduzindo em suas práticas pedagógicas e/ou em seus discursos o binarismo de gênero e os conceitos heteronormativos de controle dos corpos infantis. As professoras que abraçaram a mudança de suas práticas pedagógicas foram em busca de formação continuada. Conclui-se com a necessidade de fomento para formação continuada de docentes em gênero e sexualidade e de novas pesquisas que explorem estas questões de um ponto de vista interseccional na Educação Infantil.
VIOLÊNCIA DE GÊNERO NA UNIVERSIDADE: resistências para além de silêncios e omissões
Authors: Cavaleiro Maria Cristina , Lizzi Elisangela Aparecida da Silva
Published: April 2024

O objetivo deste artigo é apresentar os resultados de investigação sobre a prevalência da violência de gênero em uma universidade pública estadual do Paraná, bem como nuances identificadas nesse cenário. O percurso metodológico se configurou em um estudo de pesquisa transversal realizado com estudantes da Universidade Estadual do Norte do Paraná (UENP), maiores de 18 anos, utilizando amostragem aleatória estratificada e coletou dados por meio de um questionário online sobre violência de gênero e outros tipos de violências no ambiente universitário. Os dados foram analisados empregando estatísticas descritivas e análise de corpus textuais, com ênfase nas situações de violência de gênero, resultando em medidas descritivas, gráficos e tabelas ilustrativas, bem como em análise do conteúdo das respostas. Os resultados corroboram aspectos do sexismo e de múltiplas formas de violência de gênero - com intensa presença de assédio moral, ameaças, humilhações e violência sexual - no ambiente universitário, o silenciamento das denúncias, a omissão e o complacência da instituição. Apesar das declarações de inclusão social e direitos humanos em documentos da universidade, revela-se a ausência de compromisso com a concretização de políticas institucionais visando o combate à violência de gênero no ambiente universitário.
ATRAVESSAMENTOS DOS DISCURSOS ANTIGÊNERO NAS PERCEPÇÕES DE DOCENTES SOBRE VIOLÊNCIAS CONTRA CRIANÇAS
Authors: Spaziani Raquel Baptista , Lana Rayanny Zanetti Torquatro de
Published: April 2024

Este estudo teve como objetivo analisar as possíveis reverberações dos movimentos anti-gênero nos relatos de docentes do Ensino Fundamental I sobre as violências contra crianças, buscando entender os seus temores e as suas ações de resistência em sala de aula. Participaram da pesquisa seis docentes da Rede Municipal de uma capital e de cidades do interior ao entorno, com idade variando entre 24 e 47 anos. Utilizou-se um roteiro de entrevista semiestruturada, cujas questões norteadoras disseram respeito às percepções sobre as violências contra crianças, as dimensões de gênero presentes em tais violências e a possibilidade de enfrentá-las na escola. Os dados foram analisados por meio de análise de conteúdo, com as seguintes categorias temáticas: Percepções de docentes sobre as relações entre gênero e violências contra crianças; Atravessamentos dos discursos anti-gênero em seus relatos; Práticas contra-hegemônicas e resistências em sala de aula. Observou-se que o(as) participantes demonstraram se incomodar com as tentativas de cerceamento de um trabalho crítico na escola que dificulta, ainda mais, a implementação de ações voltadas à educação em sexualidade para crianças. No entanto, percebeu-se que o(as) professor(as) demonstraram resistir a essa lógica por meio de ações voltadas ao diálogo com estudantes sobre gênero, sexualidade e violências.