bluuebunny/crossref_metadata_2025 huggingface dataset:
Automatic Power Direction Control of Dual Active Bridge/Triple Active Bridge Converter in Emergency Energy Supply for Sustainability
Authors: Nie Yu , Zhang Xiaotian , Hu Yihua , Nasr Esfahani Mohammad
Published: September 2024

With their multidirectional power flow capability, dual active bridge (DAB) and triple active bridge (TAB) converters find application in energy routers as DC/DC transfer components for emergency energy supply during significant power outages. These converters ensure stable sustainable power transmission across various energy sources while enabling high-power conversion. However, controlling power direction poses a challenge in DAB/TAB converters for emergency energy supply, typically a rapid change of power direction of any port of DAB/TAB converters. To address this problem, this study proposes a novel automatic power direction control method for DAB/TAB converters, enabling bidirectional power transmission without manual intervention based on the state of charge (SOC) of battery for emergency energy supply. This method realizes the change of power direction of each port in DAB/TAB converter automatically according to different situations, even in emergencies. Given the now widespread shortage of emergency energy and the higher cost of labor regulation, this approach simplifies operations and enhances system safety and sustainability by eliminating the need for human supervision. A well-implemented automatic control method ensures efficient and consistent power transfer within the system by change the direction in about 3 s, whenever power direction adjustment is necessary.
A Deep CNN-Based Salinity and Freshwater Fish Identification and Classification Using Deep Learning and Machine Learning
Authors: Rahman Wahidur , Rahman Mohammad Motiur , Mozumder Md Ariful Islam , Sumon Rashadul Islam , Chelloug Samia Allaoua , Alnashwan Rana Othman , Muthanna Mohammed Saleh Ali
Published: September 2024

Concerning the oversight and safeguarding of aquatic environments, it is necessary to ascertain the quantity of fish, their size, and their distribution. Many deep learning (DL), artificial intelligence (AI), and machine learning (ML) techniques have been developed to oversee and safeguard the fish species. Still, all the previous work had some limitations, such as a limited dataset, only binary class categorization, only employing one technique (ML/DL), etc. Therefore, in the proposed work, the authors develop an architecture that will eliminate all the limitations. Both DL and ML techniques were used in the suggested framework to identify and categorize multiple classes of the salinity and freshwater fish species. Two different datasets of fish images with thirteen fish species were employed in the current research. Seven CNN architectures were implemented to find out the important features of the fish images. Then, seven ML classifiers were utilized in the suggested work to identify the binary class (freshwater and salinity) of fish species. Following that, the multiclass classification of thirteen fish species was evaluated through the ML algorithms, where the present model diagnosed the freshwater or salinity fish in the specific fish species. To achieve the primary goals of the proposed study, several assessments of the experimental data are provided. The results of the investigation indicated that DenseNet121, EfficientNetB0, ResNet50, VGG16, and VGG19 architectures of the CNN with SVC ML technique achieved 100% accuracy, F1-score, precision, and recall for binary classification (freshwater/salinity) of fish images. Additionally, the ResNet50 architecture of the CNN with SVC ML technique achieved 98.06% and 100% accuracy for multiclass classification (freshwater and salinity fish species) of fish images. However, the proposed pipeline can be very effective in sustainable fish management in fish identification and classification.
Evaluation of Geoenvironment Carrying Capacity in Mineral Resource-Based Cities from the Perspective of Sustainable Development
Authors: Liu Jiawei , Liu Gao , Ma Zhengqi , Chen Fengchuan , Wu Yaodong , Ge Chongji , Wang Xu
Published: September 2024

The exploitation of natural resources and the degradation of the geological environment pose dual challenges for mineral resource-based cities amidst rapid economic development and urbanization. Evaluating geoenvironmental carrying capacity is essential in measuring the harmony between human activities and the geological environment. Unfortunately, current evaluation methods do not adequately capture the intricate interplay of multiple factors, hindering a comprehensive understanding of this concept in mineral resource cities. To address this gap, this study integrates the DPSR model into the assessment of geoenvironmental carrying capacity, aligning with the characteristics and sustainable development objectives of these cities. By employing catastrophe theory, entropy method, and analytic hierarchy process, a robust evaluation index system specific to mineral resource cities is established. Using Fushun City in Liaoning Province, China, as a case study, the analysis reveals consistently high comprehensive evaluation values over the past five years, reflecting the city’s actual environmental status. The research highlights enhancing the response layer as a key strategy to boost regional geoenvironmental carrying capacity. These results offer valuable insights for the planning of mineral resource cities, fostering regional sustainable development, and promoting geological environmental protection.
Analysis of the Spatio-Temporal Differences and Structural Evolution of Xizang’s County Economy
Authors: Zhang Peng , Wang Yuge , Yu Zhengjun , Shao Xiong , Chong Heap-Yih
Published: September 2024

County’s level economic disparities remain as a key policy issue for sustainable and healthy regional development, particularly for their spatiotemporal dynamics. This research adopted Geographic Information Systems software and spatial econometric analysis methods to analyze the temporal and spatial disparities, spatial structures, and dynamic evolution processes of the Xizang Autonomous Region’s county-level economy. With the application of the coefficient of variation and spatial autocorrelation methods, the research identified a significant trend of narrowing economic differences among the 74 counties. The study also observes a growing spatial autocorrelation, pointing towards a more clustered economic growth pattern, particularly influenced by the Lhasa economic circle’s expanding regional radiation capacity. The findings underscore the importance of strategic development planning, including the integrated development of Lhasa and Shannan. This study contributes to the literature on regional economic development and offers insights for policy formulation aimed at sustainable and equitable growth in Xizang, which could also benefit future development of counties in developing countries with comparable economic environments.
Robust Financing Decisions of Green Supply Chain under Market Risk
Authors: Liu Huimin , Wei Zengqing , Hu Dingyuan , Yang Jinyu , Linghu Dazhi
Published: September 2024

In the face of global climate change and the collision of consumer preferences towards green and low-carbon, businesses need to accelerate the transition to sustainable development to achieve long-term growth. Companies must raise significant funds to support this transition and manage high market risk. The existing research on green innovation within supply chains often overlooks market risks, particularly those associated with incomplete information. Hence, this paper considers a two-echelon supply chain system composed of a manufacturer and a retailer. Manufacturers are willing to carry out green innovation and make a single product for sale in the consumer market with green preferences. However, innovation is risky due to the uncertainty in the sales volume of green products. In addition, the manufacturer may lack internal capital to invest in the innovation activities and may seek external financial resources, e.g., bank loans or retail prepayment financing. Hence, the manufacturer and retailer must decide which financial option to adopt. The results show that when the market risk is high, the supply chain members tend to make conservative decisions, no matter which financial modes they choose. However, with the robust optimization approach, the manufacturer and the retailer may earn a higher profit when the market risk is high. When the prepayment rate and bank loan interest rate are equal, regardless of the market risk, the manufacturer’s optimal decision is to choose prepayment financing from the retailer. However, when the prepayment rate is higher than the bank loan interest rate, there is no dominant strategy for the manufacturer to choose.
Harmonising Indicators to Report Sustainable Development Goals and Sustainable Energy and Climate Action Plan: Systemic Analysis of Existing Regional and City Indicators Sets
Authors: Ibañez Iralde Nadia Soledad , Lecocq Enric Mont , Pascual Jordi , Martí Audí Núria , Salom Jaume
Published: September 2024

Balancing economy, social justice, and environmental protection while achieving decarbonisation and adapting to climate change poses a significant challenge for nations, regions, and cities. The Sustainable Development Goals and the Sustainable Energy and Climate Action Plans are widely used plans designed to oversee mitigation and adaptation actions. However, despite the common topics addressed by both, the absence of a common framework and the multiplicity of indicators proposed imply an extra effort in their implementation and evaluation, as well as the difficulty of evaluating peer benchmarking. Hence, this review focuses on identifying frequently proposed indicators, highlighting potential links among metrics and establishing a list of potential indicators. The bibliographic analysis conducted allowed the identification of more than 80 sources and 410 different metrics. The study reveals the diversity of approaches chosen to define a set of indicators and underscores the need for a harmonised framework to effectively compare and monitor European regions and cities. Moreover, thanks to this study, a list of potential indicators and the methodology for populating them was established, allowing better coherence among the initiatives and a starting point for small regional and local administrations that often struggle with the availability of data and resources.
Model for the Analysis of Social Regulation and Collaboration during the Development of Group Tasks
Authors: Granados-López Hedilberto , Pérez Johan Hernán , Porras-Muñoz Jonathan , Pedraza-Jiménez Yamile , Gallego-López Felipe Antonio
Published: September 2024

This paper presents a model for the analysis and characterization of social regulation during collaborative task development. The structural part of the model is composed of three components which give rise to the generation of four phases of group interaction. The combination of these phases of group interaction and their components allows us to know whether or not a given group during the execution of tasks manages to develop mechanisms of collaboration and socially shared regulation. As for the conceptual section, the model is supported by three components that deal with task regulation, communication regulation, and collaborative work. Each of these components in turn presents aspects that can be identified in the interaction of the groups during the development of a task. The model was applied with the participation of five work groups made up of graduate students. The type of study was a descriptive quantitative approach. The results made it possible to corroborate the functionality of the model based on the identification of recurrences of events in the phases reached by each of the groups during the development of shared tasks, as well as aspects of collaboration and social regulation during the execution of group tasks in socially and collaboratively regulated learning processes, according to the analysis of the interactions recorded by the groups.
Lie Symmetry Analysis and Explicit Solutions to the Estevez–Mansfield–Clarkson Equation
Authors: Aliyu Aliyu Isa , Yusuf Jibrin Sale , Nauman Malik Muhammad , Ozsahin Dilber Uzun , Agaie Baba Galadima , Zaini Juliana Haji , Umar Huzaifa
Published: September 2024

In this study, we investigate the symmetry analysis and explicit solutions for the Estevez–Mansfield–Clarkson (EMC) equation. Our main objectives are to identify the Lie point symmetries of the EMC equation, construct an optimal system of one-dimensional subalgebras, and reduce the EMC equation to a set of ordinary differential equations (ODEs). We employ the Riccati–Bernoulli sub-ODE method (RBSODE) to solve these reduced ODEs and obtain explicit solutions for the EMC model. The obtained solutions are validated using numerical analyses, and corresponding figures are presented to illustrate the physical implications of the derived solutions.
A Study of the Neutron Skin of Nuclei with Dileptons in Nuclear Collisions
Authors: Xu Ke , Chen Baoyi
Published: September 2024

We studied the photoproduction of dileptons from strong electromagnetic fields generated by the nucleus in relativistic heavy-ion collisions. The production of dileptons is calculated based on the Equivalent Photon Approximation (EPA) method, which depends on the strength of the electromagnetic fields and the density of protons in the nucleus. With the EPA method, we construct the connections between dilepton photoproduction and the electromagnetic form factors in the nucleus. Finally, the nuclear proton densities can be determined with the dilepton photoproduction, which is employed to extract the neutron skin in the nucleus. Our calculations indicate that the dilepton photoproduction varies evidently with different proton densities in the nucleus, suggesting a deeper symmetry underlying the connections between proton density (or the neutron skin) and the dilepton photoproduction. This offers a new way to study the neutron skin in the nucleus.
Modulation Recognition System of Electromagnetic Interference Signal Based on SDR
Authors: Dai Wei , Ji Changpeng
Published: September 2024

Considering the electromagnetic interference signal in non-cooperative communication, an automatic modulation identification and detection system of electromagnetic interference signal based on software defined radio is proposed. Based on GNU Radio 3.10.7.0 and HackRF One B210mini, the system estimates the frequency and symbol rate of the interference signal and completes clock synchronization and matching filtering under the condition of unknown a priori information. By extracting high-order cumulants as characteristic parameters, combined with the decision tree classifier, the classification and recognition of six modulation types of interference signals and signal phase correction are realized. This method can distinguish the recognition results in combination with the signal constellation, and complete the real-time reception and recognition of interference signals.
Stability of Resistance of Maize to Ear Rots (Fusarium graminearum, F. verticillioides and Aspergillus flavus) and Their Resistance to Toxin Contamination and Conclusions for Variety Registration
Authors: Mesterhazy Akos , Szabo Balazs , Szieberth Denes , Tóth Szabolcs , Nagy Zoltan , Meszlenyi Tamas , Herczig Beata , Berenyi Attila , Tóth Beata
Published: September 2024

All major ear rots (F. graminearum, F. verticillioides, and Aspergillus flavus) and their toxins are present in maize of preharvest origin in Hungary. Resistance can be an important tool in reducing the infection and toxin contamination from these rots in maize. Previous results identified resistance differences in maize hybrids that were suitable for use in evaluating their risk from toxigenic fungi and their toxins. During the tests, two methodical improvements were achieved: the use of three isolates of the fungus secured and a more precise estimation of resistance to ear rots and their resistance to toxin accumulation or overproduction. The improvement in sampling and the tests of subsamples made the evaluation for the statistics much more exact. This way, we were able to reduce the Within value, providing a statistically more reliable method of evaluation. Earlier data had confirmed that toxin contamination could not be predicted well from visual ear rot severity data. Contradictory results for hybrid ranking were often identified between isolates. The resistance to disease and toxin contamination is not generally valid. The new suggested methodology compares the performance of hybrids in a large number of epidemic situations to identify adaptable hybrids that can respond to diverse conditions; therefore, the stability of resistance and toxin response is decisive information to evaluate risk analyses. The increased number of disease toxin data allowed for lower LSD 5% values for toxins, a much finer analysis of toxin overproduction and underproduction, and a wider database for stability analyses. This way, we obtained important additional separated information about resistance to accumulation of toxins and about maize resistance to these pathogens that is suitable to provide much more reliable testing than was possible until now. Globally, about 50–100 million metric tons can be saved by excluding susceptible hybrids from commercial production.
Comparative Efficacy and Safety of Moxifloxacin and Levofloxacin in a Short Standardised Rifampicin Resistant TB Regimen: A STREAM 2 Secondary Analysis
Authors: Fabiane Stella M. , Chiang Chen-Yuan , Meredith Sarah K. , Gurumurthy Meera , Bayissa Adamu , Nunn Andrew J. , Goodall Ruth L.
Published: September 2024

(1) Background: The World Health Organisation (WHO) categorises moxifloxacin and levofloxacin as Group A drugs, which should be prioritised in the treatment of rifampicin-resistant tuberculosis. We compare their relative efficacy and safety using data from the STREAM trial; (2) Methods: Marginal structural models were used to balance differences in the baseline characteristics of participants receiving the STREAM control regimen containing either moxifloxacin or levofloxacin as this was not a randomised comparison. The difference in proportions between regimens was estimated for favourable outcome, any grade 3/4 adverse event, QTcF increase to ≥500 ms, QTcF increase from baseline by at least 60 ms, and any grade 3/4 adverse event excluding QT events, using weighted analyses; (3) Results: In efficacy analyses (n = 123), the weighted risk difference (moxifloxacin—levofloxacin, wRD) for a favourable outcome was −0.045 (−0.213, 0.123), p = 0.60. Similarly, estimates from the safety analyses (n = 127) showed no evidence of a difference between the fluoroquinolones, other than a suggestion of fewer QTcF increases from baseline on levofloxacin (wRD 0.160 (−0.026, 0.346), p = 0.091); (4) Conclusions: In this small dataset, we found no statistically significant difference in key efficacy or safety outcomes between the moxifloxacin- and levofloxacin-containing regimens; there was a suggestion that QTcF increases from baseline were fewer on levofloxacin.
Changes in Phenotypic and Molecular Features of Naïve and Central Memory T Helper Cell Subsets following SARS-CoV-2 Vaccination
Authors: Mosavie Mia , Rynne Jennifer , Fish Matthew , Smith Peter , Jennings Aislinn , Singh Shivani , Millar Jonathan , Harvala Heli , Mora Ana , Kaloyirou Fotini , Griffiths Alexandra , Hopkins Valerie , Washington Charlotte , Estcourt Lise J. , Roberts David , Shankar-Hari Manu
Published: September 2024

Molecular changes in lymphocytes following SARS-CoV-2 vaccination are incompletely understood. We hypothesized that studying the molecular (transcriptomic, epigenetic, and T cell receptor (TCR) repertoire) changes in CD4+ T cells following SARS-CoV-2 vaccination could inform protective mechanisms and refinement of future vaccines. We tested this hypothesis by reporting alterations in CD4+ T cell subsets and molecular features of CD4+ naïve and CD4+ central memory (CM) subsets between the unvaccinated and vaccinated groups. Compared with the unvaccinated, the vaccinated had higher HLA-DR expression in CD4+ T subsets, a greater number of differentially expressed genes (DEGs) that overlapped with key differentially accessible regions (DARs) along the chromatin linked to inflammasome activation, translation, regulation (of apoptosis, inflammation), and significant changes in clonal architecture beyond SARS-CoV-2 specificity. Several of these differences were more pronounced in the CD4+CM subset. Taken together, our observations imply that the COVID-19 vaccine exerts its protective effects via modulation of acute inflammation to SARS-CoV-2 challenge.
Common Carp (Cyprinus carpio) Reinvasion and Population Expansion in Lake Winona: A Modified Urban Floodplain Lake in Minnesota, USA
Authors: Mundahl Neal D. , Schnaser Avery C. , Kluzak Christopher M. , Henkelman McKenzie L.
Published: September 2024

Common or European carp (Cyprinus carpio) were eliminated from Lake Winona during a 1973 lake reclamation project. Multiple efforts to prevent their return and eliminate spawning opportunities have failed. Carp have remained in the lake for the past 50 years, but more recent observations of spawning activity in the lake suggest that their numbers have increased. We used shoreline electrofishing data from Lake Winona (2005–2021), along with carp abundance and effects models, to estimate the abundance of carp in Lake Winona, and to evaluate the need for future carp management within the lake. Carp size (mean TL = 614 mm, mean weight = 3.42 kg) did not differ between eastern and western basins, but densities were three times higher in the western basin (105 compared to 34 fish/hectare), and carp had significantly higher relative weights in the western (117%) versus the eastern (107%) basin. Carp biomass estimates for the eastern (116 kg/hectare) and western (360 kg/hectare) basins suggest that the lake may soon experience significant declines in macrophyte cover and other ecological damage associated with that loss. With an estimated adult carp population of >6900 fish and a carp biomass (23,750 kg) 1.5 times greater than the biomass of all carp killed during the 1973 reclamation, carp management activities (e.g., fish removal and spawning migration barriers) should be initiated soon to protect the Lake Winona game fish community.
Assessing the Hydrologic Response of a Major Drinking Water Reservoir to Extreme Flood Events and Climate Change Using SWAT and OASIS
Authors: Paul Supria , Pradhanang Soni M. , Boving Thomas B.
Published: September 2024

Extreme flood events present a significant challenge for operators and managers of large drinking water reservoirs. Detailed flood response analysis can predict the hydrology response of a reservoir to changing climate conditions and can aid in managing the reservoir in anticipation of extreme events. Herein, the Soil and Water Assessment Tool (SWAT), a watershed model, was used in conjunction with a reservoir management model, the Operational Analysis and Simulation of Integrated Systems (OASIS) model, to evaluate extreme flood events across a set of initial reservoir storage capacities across various CMIP6 climate scenarios. The SWAT model was calibrated and validated with PRISM climate data in conjunction with land and soil cover data and multi-site gauged stream discharges. The validated model demonstrated satisfactory performance (NSE = 0.55 and R2 = 0.56) for total reservoir inflow. The resulting inflow values from SWAT were utilized to set up a calibrated/validated OASIS model (NSE = 0.55 and R2 = 0.68). OASIS was then used to assess alternative operating rules for the reservoir under varying climate scenarios (RCP4.5 and RCP8.5) and extreme events (synthetic hurricanes). Focusing on a major reservoir in the Northeastern United States, the analysis of the reservoir response was based on (1) reservoir volume–elevation curve, (2) daily reservoir inflow, (3) daily precipitation, (4) spillway flow, and (5) reservoir evaporation. Projected future scenarios indicate a >20% increase in precipitation in April compared to historical records, coupled with likely reduced runoff from November to March. With extreme conditions most likely in the month of April, RCP4.5 and RCP8.5 projections suggest that most scenarios result in a 10–15% increase in the mean of 3D30Y runoff volumes, and a 150% increase under the most extreme conditions. For 7D30Y runoff volumes in April, the RCP4.5 and RCP8.5 analyses reveal an increased likelihood of the reservoir elevation reaching overspill flow levels during the latter half of the simulation period (2020 to 2080). Our findings indicate that simulations with SWAT coupled with OASIS can assist reservoir managers in regulating water levels in anticipation of extreme precipitation events.
Evolution and Quantitative Characterization of Stress and Displacement of Surrounding Rock Structure due to the Multiple Layers Backfill Mining under Loose Aquifers
Authors: Liu Jiawei , Sui Wanghua
Published: September 2024

Backfill mining is an important means of ensuring the high efficiency and safety of the coal mining under thin bedrock and loose aquifers. Based on the case study of Taiping Coalmine, the theoretical analysis of entropy and numerical modeling methods are adopted to establish the visualization model of temporal–spatial cube of stress and displacement induced by the multiple layers backfill mining. Moreover, the quantitative characterization and measurement framework of symmetric KL-divergence is established based on information entropy and mutual information. The results show that: (1) The non-uniformity of stress and displacement is enhanced due to the multiple layers backfill mining, showing certain fluctuation characteristics. (2) The KL-divergence of stress to displacement is slightly greater than that of displacement to stress, and the hotspot distribution law of stress–displacement related efficiency is consistent with KL-divergence. (3) The hotspots of stress entropy and the gap between stress entropy and displacement entropy in multiple layers backfill mining decrease obviously. (4) Stress plays a main role in displacement, and displacement is a linkage response to stress due to the coordinated deformation. Multiple layers backfill mining results in an enhanced correlation degree and more chaotic state between stress and displacement. The results will provide engineering geological basis for optimal design and safe production of backfill mining under loose aquifers.
Zinc Oxide/Moringa Oleifera Gum-Grafted L-Methionine-Functionalized Polyaniline Bionanocomposites for Water Purification
Authors: Tanweer Mohd Saquib , Iqbal Zafar , Rather Adil Majeed , Alam Masood
Published: September 2024

This study evaluates the preparation of novel ternary functional adsorbents based on polyaniline, zinc oxide nanoparticles, and moringa oleifera gum to produce zinc oxide/Moringa oleifera gum-grafted L-methionine-functionalized polyaniline bionanocomposites (ZM-g-Pani) and employed to sequestrate divalent metal ions (Cd2+, Hg2+ and Pb2+) from wastewater samples. The morphological and structural properties of ZM-g-Pani were exploited using FT-IR, FE-SEM/EDS, TEM, and XRD. FT-IR and FE-SEM studies show that the as prepared nanocomposite has an abundant number of reactive groups and a porous structure, thus demonstrating outstanding divalent metal cation removal. FT-IR study confirms that the attachment of L-methionine to polyaniline is facilitated by the C-S linkage. Both TEM and FE-SEM techniques confirmed the clustered granules of ZnO over the surface of polyaniline, which ultimately provided more surface area to adsorb metal ions. The study demonstrated that Cd2+, Hg2+ and Pb2+ ions could undergo physical sorption and chemisorption simultaneously during the adsorption process. The maximum adsorption capacity was 840.33, 497.51, and 497.51 mg/g for Cd2+, Hg2+, and Pb2+, respectively. The impact of co-existing ions, including NO3−, PO43−, SO42−, Cl−, Na+, Cu2+, and Al3+, showed that there were no notable alterations in the adsorption of the selected metal ions with ZM-g-Pani. ZM-g-Pani showed eight successive regeneration cycles for Cd2+, Hg2+, and Pb2+ with more than 85% removal efficiency.
Comparative Study and Optimization of Energy Management Strategies for Hydrogen Fuel Cell Vehicles
Authors: Guo Junjie , Wang Yun , Shi Dapai , Chu Fulin , Wang Jiaheng , Lv Zhilong
Published: September 2024

Fuel cell hybrid systems, due to their combination of the high energy density of fuel cells and the rapid response capability of power batteries, have become an important category of new energy vehicles. This paper discusses energy management strategies in hydrogen fuel cell vehicles. Firstly, a detailed comparative analysis of existing PID control strategies and Adaptive Equivalent Consumption Minimization Strategies (A-ECMSs) is conducted. It was found that although A-ECMS can balance the energy utilization of the fuel cell and power battery well, the power fluctuations of the fuel cell are significant, leading to increased hydrogen consumption. Therefore, this paper proposes an improved Adaptive Low-Pass Filter Equivalent Consumption Minimization Strategy (A-LPF-ECMS). By introducing low-pass filtering technology, transient changes in fuel cell power are smoothed, effectively reducing fuel consumption. Simulation results show that under the 6*FTP75 cycle, the energy loss of A-LPF-ECMS is reduced by 10.89% (compared to the PID strategy) and the equivalent hydrogen consumption is reduced by 7.1%; under the 5*WLTC cycle, energy loss is reduced by 5.58% and equivalent hydrogen consumption is reduced by 3.18%. The research results indicate that A-LPF-ECMS performs excellently in suppressing fuel cell power fluctuations under idling conditions, significantly enhancing the operational efficiency of the fuel cell and showing high application value.
Singularity of organizing rational nutrition for school-age children
Authors:   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod State University of Engineering and Economics, Nizhny Novgorod, Alekseeva T.V. , Davydova Yu.Yu. ,   Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Orlova A.I. ,   Nizhny Novgorod State University of Engineering and Economics, Nizhny Novgorod, Korystin M.I. ,   Voronezh State University of Engineering Technologies, Voronezh, Klimova E.A. ,   Voronezh State University of Engineering Technologies, Voronezh, Apalikhina O.A. ,   Voronezh State University of Engineering Technologies, Voronezh, Veselova A.Yu. ,   Voronezh State University of Engineering Technologies, Voronezh, Albycheva L.A. ,   Voronezh State University of Engineering Technologies, Voronezh
Published: September 2024

This article presents factual data, regulatory documents, problems, and nutritional features of children of different school ages in organized groups.
Comparative assessment of antioxidant properties of ground and instant coffee
Authors:   Peter the Great St. Petersburg Polytechnic University, Nilova L.P.
Published: September 2024

The results of studies of the content of phenolic compounds and caff eine and antioxidant activity of ground and instant coffee are presented using the case of two trademarks. Regardless of the trademark, instant coffee contains more phenolic compounds and caffeine, forming higher values of antioxidant activity.
Scientific and Practical Approaches to Assessing the Effectiveness of Budget Expenditures
Authors:   Research Financial Institute of the Ministry of Finance of the Russian Federation, Moscow, Rykova I. N. , Rykov G. K. ,   Research Financial Institute of the Ministry of Finance of the Russian Federation, Moscow
Published: September 2024

The relevance of the study is determined by the fact that clarifying the essence and content of the characteristic "efficiency of budget expenditures" allows us to adjust the stages and procedures for assessing budget expenditures in conditions of instability in the formation of budget forecasts. Materials and research methods used in the article include: monographic and economic-statistical methods, systems approach, situational analysis. Based on a generalization of scientific and theoretical aspects to assessing the effectiveness of budget expenditures, the authors identified the key functions of government decisions in the field of optimization of the budget process. As part of the analysis and assessment of the eff ectiveness of budget expenditures in Russia, the article clarifi es the volumes of unfulfi lled budget expenditure obligations in the context of line ministries and departments. The calculations made of the dynamics and structure of budget funds allowed the authors to illustrate the trends in the distribution of the highest shares of unfulfi lled expenditure budget obligations. Graphical analysis and relative growth rates used in calculating the dynamics of budget expenditures made it possible to establish patterns of influence of objective factors on the results of the approved budget schedule. As a result of the research, the criteria for assessing the effectiveness of budget expenditures in the Russian Federation were improved and recommended for use in the practice of the activities of authorized executive bodies.
Analysis of Stability of The Banking System with The Hurwitz Criterion and Forecasting by The Random Forest Deep Learning Model
Authors:   Volgograd State Technical University, Volgograd, N. I. N. I. , Kuzmina T. I. ,   Russian Economic University. G.V. Plekhanov, Moscow, Maramygin M. S. ,   Ural State Economic University, Ekaterinburg, Minaeva O. A. ,   Volgograd State Technical University, Volgograd, Yurova O. V. ,   Volgograd State Technical University, Volgograd, Petrova M. А. ,   Volgograd State Technical University, Volgograd
Published: September 2024

The article conducts a study of theoretical approaches to assessing the stability of the domestic banking system and forming a model that allows predicting its development in modern conditions. The relevance of the study is that in conditions of market uncertainty, approaches are increasingly being used to ensure the sustainable development of the banking system using artificial intelligence systems. During the study, pairwise correlation coefficients were identified between 11 factorial characteristics and the resulting characteristic — profi t growth (%), the Hurwitz matrix was formed. The determinant of the stability matrix of the banking system was calculated using the Hurwitz criterion. A DL-model "RF Regression" (DL-model "Random Forest") has also been formed, which allows predicting the increase in profi t of the banking system. The DL model was generated on the Collab service using the pandas, GridSearchCV, sklearn libraries using the results of the work of 144 commercial banks at the end of 2023. To calculate the determinant of a square matrix of dimension 11x11, a special program was written using the Python language. The calculated parameters of the DL model made it possible, based on the values of the regression equation coeffi cients, to form a polynomial and assess the stability of the banking system using the Hurwitz criterion. The resulting calculated value of the determinant of the Hurwitz matrix turned out to be greater than zero, which means that the banking system is stable in 2023. The novelty lies in the fact that the authors proposed approaches that make it possible to identify existing patterns in the development of the banking system, obtain a forecast of the dynamics of the banking system’s profi t and assess its stability using the Hurwitz criterion. The paper puts forward and proves the hypothesis that using the Random Forest DL model, a forecast of the increase in net profi t of commercial banks can be obtained, which predetermines the stability and dynamics of their development. The conclusions are that the results obtained can be successfully used in practice to predict and ensure sustainable development of the domestic banking system.
Analysis of Modern Challenges and Prospects: The Role of Education, Technology and Ideas in Shaping Society, Based on the Experience of the Ancient Roman Way of Life. Selfishness as a Way of Forming a Stable Financial System
Authors:   Taganrog Institute of Management and Economics, Taganrog, Pavlov О. V.
Published: September 2024

The presented text includes extensive reflections on the topic of modern society, its problems and prospects. In the text, the author touches on various aspects, ranging from the importance of the family to the development of technology and progressive ideas. The author discusses the importance of education and raising the level of education of the population as a way to combat poverty and create a happy society. He also describes the influence of progressive and conservative ideas on the formation of laws and institutions in society. Special attention is paid to refl ections on the use of technologies, including artificial intelligence, and their impact on various spheres of life. The author discusses the impact of progressivity on modern market relations, including new forms of interaction between consumers and producers. It is also worth noting that the text contains references to philosophy and consideration of a number of historical factors in the context of modern challenges and prospects. In general, the text has a complex structure and a wide range of topics under consideration. The author draws a number of important analogies and draws conclusions about the need for interaction between progressive and conservative principles to achieve sustainable development of society. The author also suggests creating an alternative to microfi nance organizations in the form of private investment funds that will issue long-term loans for education and life improvement to young people. The proposed system involves investing in people not for interest, but for a share of future income. This approach will free up start-up entrepreneurs from huge interest rates and burdensome microfi nance conditions. In addition, the author puts forward the idea to consolidate the activities of such funds in legislation to ensure transparency and reputational responsibility. Analyzing the text, it can be noted that the main idea is that investing in people for a long time can contribute to the development of education, stimulate entrepreneurial activity of young people and create new intellectual resources for the country.
Omega 3 Fatty Acids Attenuate the Acute Kidney Injury to CKD Transition and Renal Fibrosis
Authors: Tokumaru Kai , Imafuku Tadashi , Satoh Takao , Inazumi Tomoaki , Hirashima Shu , Nishinoiri Ayano , Nagasaki Taisei , Maeda Hitoshi , Sugimoto Yukihiko , Tanaka Motoko , Matsushita Kazutaka , Maruyama Toru , Watanabe Hiroshi
Published: September 2024

Key Points

Omega-3 polyunsaturated fatty acids prevent AKI to CKD transition and renal fibrosis.

Eicosapentaenoic acid metabolites 18-hydroxyeicosapentaenoic acid, 17,18-epoxyeicosatetraenoic acid, and 17,18-dihydroxyeicosatetraenoic acid have antifibrotic effects.

Background

AKI is an established risk factor for developing CKD. Recently, the renoprotective effect of omega-3 polyunsaturated fatty acids (ω3PUFAs) has attracted attention. The aims of this study were to evaluate the effect of ω3PUFAs on the transition of AKI to CKD and to identify fatty acid active metabolites in renal tissue.

Methods

Two mice models of the AKI to CKD transition (7-week, male) and unilateral ureteral obstruction–induced renal fibrosis (11-week, male) were fed linseed oil, rich in ω3PUFAs (Lin group), or with soybean oil, low in ω3PUFAs (Soy group). Renal fatty acids and metabolites composition in mice were measured by liquid chromatography-mass spectrometry. Rat renal fibroblast cells were used for in vitro study.

Results

At day 14 after 35 minutes of bilateral renal ischemia reperfusion, significant increase in survival was observed in the Lin group compared with the Soy group. Using the 30-minute bilateral renal ischemia–reperfusion model (AKI to CKD model), the Lin group showed attenuated renal tissue damage and fibrosis. In addition, the antifibrotic effect of the Lin group was also observed in the unilateral ureteral obstruction renal fibrosis model. In the two mice models, levels of eicosapentaenoic acid (EPA) and its metabolites were significantly elevated in renal tissue of mice fed with Lin. Cultured NRK-49F incubated with EPA and its metabolites 18-hydroxyeicosapentaenoic acid, 17,18-epoxyeicosatetraenoic acid, and 17,18-dihydroxyeicosatetraenoic acid displayed suppressed TGF-β1–stimulated α-smooth muscle actin protein expression. These effects were suppressed in the presence of an inhibitor of a cytochrome P450 involved in EPA metabolism. This observation suggests that the EPA metabolites have antifibrotic effects.

Conclusions

ω3PUFAs prevent the AKI to CKD transition and renal fibrosis. Moreover, the EPA metabolites 18-hydroxyeicosapentaenoic acid, 17,18-epoxyeicosatetraenoic acid, and 17,18-dihydroxyeicosatetraenoic acid were found to have antifibrotic effects.
Inspeção principal detalhada de construções civis antigas: exemplos de aplicação de drones para inspeção de construções Romanas
Authors: Elizalde Rubén Rodríguez
Published: September 2024

O uso de aeronaves não tripuladas (RPAS), mais conhecidas como drones, se estendeu ao longo dos últimos anos com aplicações múltiplas e muito diversas, entre os quais estão as inspeções de elementos de patrimônio arquitetônico, construções singulares e estruturas antigas o delicado. O presente artigo contém precisamente várias inspeções rutinarias, levadas ao cabo de forma experimental sobre elementos patrimoniais diversos, e das inspeções principais detalhadas, acometidas sobre a Ponte Romana de Alcántara (situada na Extremadura, Espanha) e sobre um bonde do Aqueduto de Segóvia. (também localizado na Espanha), ambos também com multas puramente experimentais. Com a realização de todas elas e a informação obtida, você poderá valorizar se a aeronave poderá servir como ferramenta de qualidade para a realização dos trabalhos que atualmente são levados a cabo com pessoal qualificado, o transporte e a instalação de aparelhos médios auxiliares e um alta inversão econômica e de tempo, especialmente no planejamento cuidadoso dos trabalhos. Do mesmo modo, se inclui de forma muito especial na segurança e na redução de riscos: segurança e redução de riscos para o monumento a inspecionar, e redução de riscos para a segurança e a saúde dos trabalhadores que atualmente desempeñan tales labores.
Metacognición en el aprendizaje de las matemáticas en estudiantes de secundaria
Authors: Belmar Mellado Marta Ester , Rojas Andías Claudia , Paukner Nogues Fraño Ivo , Acuña González Juan Carlos , Domínguez Maldonado Julio César
Published: September 2024

Este estudio tuvo como objetivo comprender el aporte de la metacognición al aprendizaje de las matemáticas en estudiantes de educación secundaria. Para ello, se desarrolló una revisión bibliográfica de los últimos 10 años, con un universo de 193 artículos obtenidos de diferentes bases de datos. De ellos, se seleccionaron 15 
artículos de las bases de datos ProQuest y Scielo. La investigación se desarrolló con un enfoque cualitativo donde se obtuvieron resultados en relación con las habilidades metacognitivas, los procesos metacognitivos y las estrategias de aprendizaje. Con base a esta revisión, se concluyó que la metacognición es fundamental en el aprendizaje de las matemáticas en secundaria, ya que posibilita la autorreflexión del propio proceso favoreciendo aprendizajes significativos.
Extended Kalman filter design for compass navigation tool on visual impaired person
Authors: Solihin Ridwan , Sudrajat Sudrajat , Utomo TB , Putra Febi Ariefka Seftian , Supriyadi Tata
Published: September 2024

Orang normal, robot, dan kendaraan cerdas mengandalkan kombinasi indera visual dan memori ingatan sebagai peta untuk navigasi dalam melakukan mobilitas mandiri. Berbeda dengan tunanetra yang mengandalkan kombinasi indera lain yang masih berfungsi serta tongkat standar maupun elektronik dalam melaksanakan aktifitas mobilitas mandiri. Tongkat masih memiliki kekurangan, diantaranya hanya dapat memberikan informasi isyarat sentuhan, suara, dan getar terhadap jarak objek di lingkungan sekitar. Penelitian ini mengembangkan rancangan dan implementasi produk terapan berupa kompas bicara untuk informasi navigasi tunanetra dengan isyarat suara delapan titik arah mata angin. Produk terapan dibuat mudah dipasang pada sabuk pinggang pengguna dan mudah digunakan. Sistem elektronik arah jam berupa sinyal data 360 derajat yang berasal dari sensor kompas dijadikan masukan sebagai pengganti indera visual untuk mikrokontroler unit (MCU). Sinyal data dari kompas terlebih dahulu dilakukan filter menggunakan Kalman untuk menghilangkan noise dari gangguan lingkungan dan gelombang elektromagnetik. Eksperimen dengan dua skenario berbeda menunjukan sistem dapat berfungsi sempurna dengan menjadi dukungan efektif selama mobilitas mandiri tunanetra. Selain itu, alat ini layak digunakan untuk melatih tunanetra dengan mengkombinasikan terhadap alat bantu perjalanan tongkat standar dengan akurasi lebih besar 0,95% lebih baik dengan filter.
Performa quality of service (QoS) melalui implementasi blue-green deployment pada infrastruktur multiple server
Authors: Irfan Taufik , Wijaya Farhan Mulya , Slameta Slameta
Published: September 2024

Dalam pengembangan perangkat lunak, strategi deployment seperti blue-green deployment menjadi krusial untuk merilis aplikasi dengan efisien, minim risiko dan menghindari downtime. Dalam penelitian ini, blue-green deployment digunakan untuk memastikan pembaruan aplikasi berjalan lancar dan handal. Strategi ini melibatkan dua lingkungan terpisah, biru dan hijau, lingkungan biru menjalankan versi aplikasi saat ini, sedangkan lingkungan hijau menjalankan versi baru. Dengan demikian, analisis performa quality of service (QoS) dilakukan pada infrastruktur multiple server untuk memvalidasi efektivitas strategi ini. Pengujian dilakukan dengan mengukur tiga parameter QoS throughput, response time, dan packet loss menggunakan dua klien pada kondisi sebelum, selama, dan setelah update deployment yang melibatkan penambahan fitur pada aplikasi web. Pengujian QoS pada aplikasi web menunjukkan keterkaitan erat antara throughput, response time, dan packet loss, di mana perubahan pada satu parameter mempengaruhi parameter lainnya. Berdasarkan standar TIPHON dari ETSI, skenario 1 hingga 5 memiliki response time sangat baik dan packet loss sangat baik, sementara skenario 6 hingga 8 memiliki response time buruk dan packet loss yang berkisar dari baik hingga sedang.
Analysis Categories of Verb Semantic In Prince William’s Oath of Loyalty at the King’s Coronation
Authors: Putri Amelia Amanda , Amalia Karina Dea , Triana Dwi , Yasmin Zarah Khodijah , Lubis Hanny Shah Rahma Reswara
Published: September 2024

This paper aims to describe the categories and semantic roles of verbs in Prince William's oath of allegiance during the coronation of King Charles III. The paper employs a qualitative approach. The researchers used documentation techniques to gather data by reading or watching various data sources from YouTube and media articles, and taking note of the required data. Data analysis was conducted using analytical techniques. Based on the data analysis, the following results were obtained. First, the researchers identified the semantic categories of verbs in Prince William's oath of allegiance at King Charles III's coronation. The verb categories are 'pledge' and 'bear'. Second, the verb "pledge" belongs to the category of action verbs. Additionally, the verb "bear" also belongs to the category of action verbs.