bluuebunny/crossref_metadata_2025 huggingface dataset:
Educational Management and Marriage Status: Transforming Domestic Life for Women
Authors: Nawaz Salma , Bashir Taqadus , Habib Qudasia , Shabbir Malik Shahzad
Published: January 2025

Women in South Asia have historically been marginalized and often overlooked, despite playing a crucial role in families, households, and various aspects of societal life. In many cases, women have not received the recognition or rights they deserve due to limited financial independence, societal preference for sons, traditional family responsibilities, and restrictive cultural norms. This study aims to examine the status of women in Balochistan, focusing on critical issues such as parda (veiling), education, marriage, and domestic life. The findings reveal that the societal position of Balochistani women significantly differs from that of women in Western societies. In Balochistan, societal organization is deeply rooted in gender-based roles, which perpetuate inequalities and severely impact women’s and girls’ lives. These inequities have far-reaching consequences, especially in underdeveloped regions like Balochistan. The lack of equal access to education for girls has led to negative outcomes in health, poverty, and reproductive health, further hindering progress in the region. Various cultural, social, and economic factors continue to influence and undermine women’s status in Balochistani society.
Complex analysis of methods of increase in steel production efficiency on the example of the application of electrical activation of the oxygen flow in top blow converters
Authors:   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Golub T. S. , Molchanov L. S. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine
Published: January 2025

Dynamic modernity and the rapid development of science and technology require the steel industry to constantly improve and intensify all stages of production without significant material costs in order to maintain competitiveness on the construction materials market. This also applies to the currently most effective method of obtaining a liquid metal semi-product - the oxygen-converter method of production. During its existence, being in constant improvement, for the oxygen-converter method, rational indicators of technological factors that can intensify the process have already been thoroughly researched and established, optimal limits of their use have been found, that limits their further improvement. Therefore, new methods of physical influence come to the fore, among which the development of a method of activation of an oxygen gas jet with an electric discharge is relevant. The method proposed by the authors for creating a high-voltage discharge at the outlet of the blowing device was investigated in the paper. This causes the formation of free charged oxygen particles in the gas (ions), that are more active than molecular oxygen in dissolving and interacting with other chemical compounds. The main direction of research reflected in the paper was the thermodynamic analysis of the influence of activation by a high-voltage discharge of an oxygen jet on the course of reactions involving the gaseous phase. The calculations were performed with respect to the Gibbs free energy. This parameter is an indicator of the probability of the free flow of reactions with the formation, in this case, of oxide products. It is indirectly responsible for the intensity of the entire oxygen converter process. Calculations were made for oxidation reactions of melt components in the reaction zone, taking into account the effect of the number of activated particles on the electrode potentials, first of all, of gaseous oxygen. According to the results of the analysis, it was concluded that the process of carbon oxidation and the process of oxygen dissolution in the iron-carbon melt are mainly activated due to the action of gaseous oxygen ions. Accordingly, this should both intensify the course of oxygen converter process itself with active slag formation and the active flow of all oxidation processes, and shorten its duration.
Laboratory study of the mixing characteristics of gas jets of process gases
Authors:   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Molchanov L. S. , Arendach N. A. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Golub T. S. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine
Published: January 2025

Low-carbon and ultra-low-carbon steels are important structural material for modern industry. Due to the combination of unique properties of lightness, strength, ease of forming and welding with low deformation, they have gained widespread use both in the engineering industry and in the production of consumer goods. The production of this type of steel requires a complex process, because the removal of carbon from the iron-carbon melt below the critical concentration has a number of difficulties. First of all, they are related to the peculiarities of the course of reactions between low-concentration carbon dispersed in the melt and oxygen, which must be delivered to the reaction site. This leads to a significant overoxidation of the bath under the conditions of oxygen converter process, and determines the urgency of the search for alternative ways of reducing carbon in the melt. Therefore, a promising direction is to bring iron-carbon melt to low carbon content in steel ladles after the main smelting process with treatment of the melt with a mixture of gases containing a small amount of oxygen through bottom blowing blocks. Blowing gases, before entering the melt, must be evenly mixed to implement a rational combination of both the mixing process due to the neutral component and the supply of the oxidizing component, which is present in a small amount, to different parts of the liquid bath. In this regard, a bench physical study was conducted using shadow imaging methods for the design of a mixing chamber for a mixture of gases, that will precede the bottom purging block. The article presents the results of evaluating the characteristics of the mixing of gases that were fed through the same nozzles, located at different angles to each other, while maintaining the same gas consumption for each of the nozzles. It was noted that the purging unit equipment should be equipped with a mixing chamber according to empirically obtained results with channels for leading various purging gases into the chamber at an angle to the vertical axis within 25 - 40o, and the mixing chamber should have a ratio of height to diameter of 1:1.
Methodological aspects of analysis and interpretation of the results of physical modeling of the processes of interaction of gas jets with liquid phases of an oxygen-converter bath
Authors:   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Molchanov L. S. , Golub T. S. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Semykin S. I. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine
Published: January 2025

The steel industry is an integral part of modern heavy industry and a base for other industries, as it provides structural materials, among which steel of various grades occupies an important place. In the world, a larger share of steel production falls on oxygen converter process. That fact determines the relevance of constant development and improvement of the process from both technological and environmental aspects. However, any innovation requires research and testing that cannot be carried out in industrial conditions due to the possibility of harming current production and wasting time and resources. Because of this, the direction of modeling the oxygen converter process is actively developing. Modeling can take place physically on cold models or high temperature models, or virtually using mathematical models. However, the latter require preliminary research on physical models to search for patterns that will become their basis. Thus, physical full-scale modeling is an integral basis and source of information about all processes that accompany the production of steel. However, each obtained result must be adequately interpreted. Thus, the paper proposes options for studying and interpreting the dynamic indicators of the blowing process based on the results obtained by physical modeling. The developed methods were used to evaluate various options for cold modeling using aqueous two-phase models, where water simulating liquid steel and other liquid simulating slag are used as model liquids; and high-temperature modeling on a real metal melt on a small scale. The dynamic features of the movement of phases during top blowing were established, that were determined using the specified modeling methods, namely the speed of movement of particles of one phase simulating slag when entering another phase simulating steel melt during blowing; movement of the bath surface depending on technological parameters and based on the results of high temperature modeling, the features of the pulsation of the blowing well, which creates by a jet of blowing gas, have been established.
Selection of criteria and development of models for prediction of elements distribution coefficients in the "metal-slag" system during steel processing at the ladle-furnace unit
Authors:   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Tohobytska D. M. , Belkova A. I. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Stepanenko D. O. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Povorotnia I. R. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Grekov S. V. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine
Published: January 2025

The main principles of the developed method of forecasting the distribution coefficients of sulfur, silicon, manganese and aluminium between the final products of melting after ladle finishing of steel are presented, based on the concept of directional chemical communication and the analytical apparatus of multidimensional data analysis. An evaluation of the interrelationships of the indicators of the "metal-slag" system before and after proofing the steel with appropriate additives at the ladle-furnace unit was performed according to the SAE1006 steel grades. Reasoned informativeness and application of parameters of interatomic interaction that characterize the chemical composition of steel, slag and additives, and indicators of the technological regime as model parameters of predictive models for calculating the distribution coefficients of the elements of impurity (S, P) and matrix (Mn, Si) subsystems of the metal system at non-furnace processing of steel. The generation of the structure of complex indicators of the "metal-slag" and "metal-additive" systems was carried out, taking into account their chemical composition and physical-chemical properties, using the mathematical apparatus of the generalized Harrington desirability function, which allows various indicators to be "collapsed" into a single generalized indicator. Predictive models were developed for calculating the distribution coefficients of elements using complex indicators in the form of Lel = A·Fms^α1·Fmd^α2·Ft^α3, where Fms, Fmd, Ft are complex indicators, respectively, of the "metal-slag", "metal-additive" systems and the technological mode of melting, A, α1, α2, α3 - coefficients of the equations, which are determined for a specific grade of steel. The proposed approach differs from the traditional methods of considering the distribution coefficients of charge elements as constant values and lays down the prerequisites for the development of an algorithm for forecasting and directed formation of the chemical composition of the final melts, taking into account the initial composition of the metal and slag fed into the ladle, and the selection of the optimal composition of slag mixtures, alloying and microalloying additives.
Features of the technology of manufacturing pipes from heat-resistant steel and heat-resistant alloys
Authors:   Ukrainian State University of Science and Technologies, Medvedev M. I. , Bobukh O. S. ,   Ukrainian State University of Science and Technologies
Published: January 2025

The purpose of the work. Improvement of the production technology of seamless hot-pressed pipes from heat-resistant steels and alloys of the austenitic class, as well as titanium and zirconium alloys. Development of technical solutions for determining rational temperature-deformation and speed modes of pipe pressing and expansion of pre-drilled blanks, which ensure compliance with the requirements of regulatory documents, namely requirements of foreign standards (ASTME, DIN, etc.), GOST, DSTU, as well as a reduction in the consumption rate of the metal. Research methodology. When determining the mathematical dependence of the rational temperature-deformation parameters of pipe pressing and expansion of pre- drilled blanks, data from experimental studies of pipe pressing made of various steels and alloys were used. Results. A number of technical solutions have been developed to determine the mathematical dependence of the heating temperatures of the workpieces on the deformation parameters (coefficient of extraction during pressing of pipes and expansion of pre- drilled workpieces), pressing speed, temperature of maximum plasticity), dependence of the size of the austenite grain on the parameters of the pressing technology (temperature of heating the workpieces, geometric parameters of the workpieces and tool, temporary tear resistance) and others. Scientific novelty. Rational temperature-deformation regimes for pressing pipes made of heat-resistant and heat-resistant alloys for the aviation industry are determined. Practical significance. The developed regimes were implemented during the development of pipe production technology at domestic and foreign press installations to ensure the requirements of regulatory documentation.
Analysis of trends and problems of the production of low-carbon Cr-Mo-V steel wire rod and wire for welding purposes
Authors:   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Parusov E. V. , Chuiko I. M. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Oliinyk E. V. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Parusov O. V. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine
Published: January 2025

High temperature resistant structural Cr-Mo and Cr-Mo-V steels have existed for more than a century and have been used with great success in the energy and chemical industries. Typical products for these industries are boilers, heaters, heat exchangers, reactors, gas turbines, hydrocrackers, high pressure vessels, etc. For welding such steels in an environment of protective gases and under a flux using a welding wire diam. 1.2–3.0 mm from low-carbon Cr-Mo-V steels, typical representatives of which include CrMoV1Si or Sv-08KhGSMFA and their analogues and modifications. A separate area of use of this wire is the recovery and repair of parts operating under conditions of abrasive wear by the surfacing method. In addition, this wire has prospects for successful application in wire-arc additive manufacturing technologies (3D printing). For the production of such a wire, as a metallurgical billet, is using the wire rod of diameter 5.5 mm, which, along with other consumer properties, should have high manufacturability during deep cold deformation by drawing by modern high-performance equipment. According to the results of the analysis of scientific and technical sources, the work summarizes the modern trends and problems in the production of low-carbon Cr-Mo-V steel wire rod and wire for welding purposes, a number of issues regarding the current requirements of regulatory documentation and specifications of the best global and domestic manufacturers of alloyed steels wire rod are considered, and the main target indicators of the quality of the corresponding metal products are determined, taking into account the characteristics of the welding materials themselves. In order to successfully solve the urgent problem of increasing the deformability of products made of low-carbon Cr-Mo-V steels for welding purposes, a set of scientific and practical tasks has been defined, the solution of which will significantly supplement the database of previously obtained results with new knowledge about the influence of the alloying system on the course of phase-structural transformations and complex of mechanical properties of wire rod. The results of the relevant research will form the basis for the creation of new technological solutions for the controlled management of the structure formation processes of the studied steels and will ensure the production of welding materials at reduced material costs, the production of which is currently absent in Ukraine.
Development of rational heat treatment regimes to reduce residual stresses in parts of complex cross-section made of 316L steel using SLM technology
Authors:   LLC "Additive Laser Technologies of Ukraine", Adjamskiy S. V. ,   Institute of Transport Systems and Technologies National Academy of Sciences of Ukraine, Podolskyi R. V. ,   LLC "Additive Laser Technologies of Ukraine",   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Kononenko G. A. ,   LLC "Additive Laser Technologies of Ukraine",   National Technical University "Dnipro Polytechnic", Klemeshov E. S. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Safronova O. A. ,   LLC "Additive Laser Technologies of Ukraine"
Published: January 2025

Residual internal stresses are one of the features of metallic materials manufactured by layer-by-layer fusion using SLM technology, but they can significantly affect mechanical properties and geometric parameters, therefore, it is necessary to take measures to reduce residual stresses. According to the results of analytical studies, it was found that the most effective way to reduce residual stresses is heat treatment. Purpose of the study. To investigate the influence of heat treatment under different regimes on the change in internal stresses of the first kind using calculations and direct measurements as a deviation of the actual geometric parameters from the specified dimensions of a part of a complex shape manufactured using SLM technology from AISI 316L steel. Research idea. Known studies of the influence of internal stresses depending on the geometry of the part were mainly carried out on elements of a simple shape. The authors developed a model of a product with a complex cross-section, which allows assessing the influence of the wall thickness and the type of transition from a smaller to a larger cross-section. Material and research methodology. A complex-shaped part was manufactured from 316L steel powder using SLM technology according to the developed model. Using the QForm and JmatPRO programs, the deviations in the geometry of the part that arise under the influence of residual stresses after heat treatment using experimental modes (heating to 899°C, holding for 1 hour, cooling in water; heating to 650°C, 2 hours, water; heating to 550°C, 4 hours, water) were calculated and the actual geometry deviations on the product were monitored using a 3-D scanner and Geomagic ControlX software. Based on the results obtained, recommendations were given for heat treatment that will ensure effective reduction of residual stresses and preservation of the initial structure formed during manufacturing using SLM technology.
Prospects for the development of high-strength bainite steels
Authors:   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Kononenko G. A. ,   National Technical University "Dnipro Polytechnic", Kimstach T. V. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine,   Ukrainian State University of Science and Technologies, Safronova O. A. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Podolskyi R. V. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Klynova O. P. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine
Published: January 2025

Purpose of the work. Analysis of the current state of development of high-strength bainite steels, study of the mechanisms of formation of the bainite structure and its influence on the mechanical properties of the material. Determination of the prospects for the application of steels with a carbide-free bainite structure in various industries. Research methodology. Analysis of literature sources devoted to the development and improvement of bainite steels. In the process of research, methods of review/comparison/generalization of data are used, which allow to identify the main trends and approaches in the study of the mechanisms of formation of bainite structures, their influence on properties. Research results. The work analyzes scientific literature sources devoted to the study of the features of bainite transformation. The prospects for the development of high-strength bainite steels, which are characterized by a combination of high strength, plasticity and toughness, are considered. Modern approaches to obtaining bainite structures are analyzed, in particular the use of alloying and heat treatment, which allow to optimize the mechanical properties of steel. The influence of alloying elements on the kinetics of bainite formation, the stability of retained austenite and the general structure of steel is considered. A review of current trends in the development of promising technologies for heat treatment of high-strength bainite steels is carried out. Practical significance. An analysis of the prospects for the application of bainite steels in critical industries, such as transport engineering, energy, construction and the military industry is presented. The directions of future research aimed at expanding the scope of application and improving the performance properties of these steels, as well as ensuring their competitiveness in the modern materials market are considered.
In memory of Leonid Hryhorovych Tuboltsev
Authors:   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Merkulov O. Ye. , Levchenko H. V. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine
Published: January 2025

The article presents data on the life and creative activity of Leonid Grygorovich Tuboltsev, a veteran of the Iron and Steel Institute of Z. I. Nekrasov of the National Academy of Sciences of Ukraine.
FORECASTING NIGERIA'S POPULATION GROWTH USING DEEP LEARNING TECHNIQUE
Authors: Mustapha I. , Sabo U. M. , Jungudo M.
Published: January 2025

Effective governance relies on accurate population data to support resource management, policy-making, and informed decision-making. In Nigeria, census efforts are essential but face challenges such as political bias, ethnic and religious tensions, logistical issues, and technological limitations, resulting in data inaccuracies and highlighting an urgent need for reliable population estimation methods. The research proposes a novel approach to forecasting Nigerian state populations using a Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM) units. The model was developed in Anaconda IDLE, leveraging historical state-wise population obtained from the Demographic Statistics Bulletin published by the Bureau of Statistics. This bulletin compiles population projections and growth trends derived from official national census figures, administrative records, and demographic surveys conducted periodically by government agencies. The data provides state-wise population counts, ensuring comprehensive coverage of the study region. The collection process involved manual extraction of relevant data points comprising 629 samples, verification against supplementary reports to ensure accuracy, and preprocessing to standardize the data for analysis and forecasting. Model accuracy was evaluated using Mean Absolute Percentage Error (MAPE) recording a 2.97% accuracy and Symmetric Mean Absolute Percentage Error (SMAPE) with 2.90% accuracy. The results indicate a substantial improvement in population forecasting reliability. This approach offers policymakers enhanced confidence in population data, demonstrating the potential of deep learning techniques in addressing complex societal challenges.
The Grapes of Conquest: Race, Labor, and the Industrialization of California Wine, 1769–1920
Authors: Ornelas-Higdon Julia
Published: January 2025

California’s wine country conjures images of pastoral vineyards and cellars lined with oak barrels. As a mainstay of the state’s economy, California wines occupy the popular imagination like never before and drive tourism in famous viticultural regions across the state. Scholars know remarkably little, however, about the history of the wine industry and the diverse groups who built it. In fact, contemporary stereotypes belie how the state’s commercial wine industry was born amid social turmoil and racialized violence in eighteenth- and nineteenth-century California.

In The Grapes of Conquest Julia Ornelas-Higdon addresses these gaps in the historical narrative and popular imagination. Beginning with the industry’s inception at the California missions, Ornelas-Higdon examines the evolution of wine growing across three distinct political regimes—Spanish, Mexican, and American—through the industry’s demise after Prohibition. This interethnic study of race and labor in California examines how California Natives, Mexican Californios, Chinese immigrants, and Euro-Americans came together to build the industry. Ornelas-Higdon identifies the birth of the wine industry as a significant missing piece of California history—one that reshapes scholars’ understandings of how conquest played out, how race and citizenship were constructed, and how agribusiness emerged across the region. The Grapes of Conquest unearths the working-class, multiracial roots of the California wine industry, challenging its contemporary identity as the purview of elite populations.
Sosialisasi Pemanfaatan Sampah Pelastik Sebagai Media Tanam Kreatif di MI Bustanul Ulum 9 Kabupaten Jember
Authors: Ilyas Muhammad , Fatjriyah Emilliyatul Laily , Zahro Isna Arofatus , Qomariah Nurul , Yuliana Vina , Gufron Moh. Ali
Published: January 2025

Sampah adalah suatu permasalahan yang terjadi di dunia saat ini, bagaimana tidak? Sampah  adalah sesuatu yang sudah tidak dapat di gunakan kembali dan sulit untuk ter-urai sehingga sampah sampah tersebut selain merusak pemandangan sampah juga mencemari lingkungan sekitar bahkan dapat membahayakan makhluk hidup yang ada di bumi. Tujuan dari kegiatan Sosialisasi Sampah Organik dan Sampah Anorganik ini adalah untuk memberikan pengetahuan dan pemahaman bagi anak-anak mengenai bahaya sampah, jenis-jenis sampah, dan menumbuhkan rasa cinta terhadap lingkungan. Penyampaian materi di sampaikan dengan metode ceramah serta powerpoint yang berisi gambar supaya memudahkan anak anak dalam memahami tujuan yang di maksud
Smart green supply chain management: a configurational approach to enhance firm financial performance
Authors: Rehman Saif Ur , Mahmood Rosli , Abidi Naseem , Yusoff Wan Fadzillah Wan
Published: January 2025

This study uses the Resource-Based View (RBV) and technology, organization, and environment (TOE) theories to examine how smart supply chain (SSC) practices affect financial performance (FP) in enterprises of various sizes. Our results show that SSC benefits larger enterprises more financially than smaller firms. SSC has a statistically significant effect on green supply chain management (GSCM) and sustainable supply chain performance (SSCP), and the strength of the relationship declines with a decline in firm size. Smaller enterprises are more receptive to competitive pressure and implement GSCM alongside SSC. Our findings show that SSCP improves financial performance, while GSCM does not, even in large enterprises. Further, mediation effects show that GSCM mediates the relationship between SSC and SSCP, whereas it does not mediate between SSC and FP across all sizes. The impact of SSC on FP is sequentially mediated via GSCM and SSCP. Using a non-linear approach (ANN), we also rank independent variables for small, medium, and large firms. Our research provides important implications.
Implementation and Effect Analysis of Big Data Technology in Teaching Quality Evaluation in Undergraduate Universities
Authors: Na Wang
Published: January 2025

This paper discusses the implementation and effect of big data technology in the teaching quality evaluation of undergraduate universities. With the advent of the era of big data, the application of big data technology in teaching evaluation is increasingly extensive. By analyzing the implementation strategies of big data technology in the evaluation of teaching quality in undergraduate colleges and universities, including data collection, analysis, visualization and feedback mechanism, this paper reveals the important role of big data technology in improving the accuracy of teaching evaluation, optimizing teaching management and supporting personalized teaching. At the same time, this paper also analyzes the actual effect of big data technology in the evaluation of teaching quality in undergraduate colleges and universities through specific cases, and shows the positive role of big data technology in improving the teaching effect and improving students learning results.
Construction of Rural Tourism Information Security Platform Based on Big Data Analysis
Authors: Pan Gao
Published: January 2025

Tourism public service is an indispensable basic support for tourism activities. With the advent of the era of mass tourism, the needs of tourists are more diversified and detailed, which puts forward higher requirements for the services of rural tourist attractions. Under the background of the rapid development of rural tourism, it has become an important trend to improve the public service of rural tourism. This paper discusses the construction of service quality evaluation model of rural tourism scenic spots from the perspective of tourists' perception, and then extracts eight service quality dimensions of rural tourism scenic spots, including catering service, accommodation service, transportation service, tour service, shopping service, entertainment service, employee service and community service. The analysis of rural tourism public service quality shows that the aggregation validity factor load of each dimension is above 0.6, the combined reliability CR is greater than 0.7, and the average variation extracted is greater than 0.5. Therefore, to verify the reliability of the scale and model of rural tourism public health service quality evaluation, and provide reference for improving the quality of rural tourism service supply and tourist satisfaction.
Research on Digital Media Art Innovation Model Based on Convolutional Neural Security Network
Authors: Dan Wang
Published: January 2025

As a professional system that intersects technology, humanities, and art, digital media art occupies an important position in the art category. With the continuous advancement of information technology, the opportunities and challenges faced by digital media art education have not only brought about changes in digital media art education, but also have a certain impact on the ecological relationship of art design. This paper takes public art as the starting point, analyzes the practical cases related to digital media art at home and abroad, sorts out and summarizes the current digital media art teaching status, based on the method of convolutional neural network, further explores the suitable digital media from the perspective of education and teaching mode Innovative methods for the art profession.
Analysis of Data Information Security in Higher Education Based on Computer Multimedia Technology
Authors: Xingxing Zhang
Published: January 2025

In order to improve the effect of multimedia data analysis in higher education and solve the shortcomings in multimedia data processing and transmission, this paper improves the multimedia data scheduling algorithm and performs global scheduling. Moreover, this paper takes the task to be allocated from the global scheduling queue, selects the core according to a certain strategy, and assigns the task to the local queue of the kernel. Then, on each core, the original task scheduling strategy is executed to schedule the tasks that are ready in the local queue for execution. Moreover, this paper conducts an in-depth study on the application of parallel processing methods in multimedia processing and implements corresponding implementations. In addition, this paper explores the current development of multi-core technology and the use of multi-threaded parallel processing methods, and builds a program flow based on open source multimedia solutions. Finally, this paper takes the university education multimedia data analysis as an example to conduct experimental research. From the research results, we can see that the method proposed in this paper is quite effective.
Analysis of the Legal Protection System for Ecological Agriculture Based on Big Data Mining Algorithms
Authors: Yan Yan
Published: January 2025

In order to improve the ecological agriculture legal protection system, this paper analyzes the agricultural legal data mining from the perspective of big data, and improves the traditional data mining algorithm to make it as an intelligent algorithm that can be applied to the ecological agriculture law. Moreover, this paper combines the actual needs of ecological agriculture legal service objects to construct an intelligent legal service system applicable to ecological agriculture laws, and combines the crawler system to conduct data mining to obtain the ecological agriculture legal protection system model based on big data technology. In addition, after constructing the model, this paper analyzes the performance of each functional module, and uses the model constructed in this paper to analyze the current situation of our country's ecological agricultural legal compensation mechanism, and summarizes the problems and proposes several countermeasures. From the research point of view, it can be seen that the method proposed in this paper has a certain effect in the analysis of the ecological agricultural legal compensation mechanism.
Research on the Economic Data Model of Hidden Markov Chain
Authors: Renrong Jiang
Published: January 2025

Markov chain is widely used in the fields of natural science and engineering technology because of its no aftereffect. The classic Markov chain does not reflect the uncertainty of the object state, and when the state division boundary is too clear, the state transition is unstable. In order to maintain the stability of the state transition and be able to effectively represent and deal with the uncertainty of the object state for sex, this paper proposes a reliability Markov model. The new model introduces the Dempster-Shafer (DS) evidence theory to describe the uncertainty of the object state, classifies all the object states into an identification framework, establishes a basic probability assignment function, and then generates a proposition transition probability matrix, and finally according to the object The current state gets the future state. The reliability Markov model proposed in this paper is a generalization of the classic Markov chain, which is backward compatible with its properties. The example shows that the new model overcomes the above-mentioned shortcomings, and obtains more reasonable and accurate results than the classic Markov chain, and has higher effectiveness and practicability.
Construction of a Driving Behavior Safety Monitoring Platform Based on Artificial Intelligence
Authors: Changliu Li
Published: January 2025

The existing driver driving behavior supervision platform is slightly insufficient in the overall control of fleet safety management. This is reflected in the lack of a clear definition of safety monitoring and the inability to implement timely intervention in case of bad driving behavior. Thus, the current fleet safety accident rate is still high. Based on this background, this paper proposes a safety management method for drivers on the way. This method combines the analytic hierarchy process to analyze the driver's driving behavior, identify the bad driving behavior on the way and push it to the team administrator in time. The team manager can intervene in time when facing the bad driving behavior of drivers. This can effectively prevent and control the occurrence of fleet safety accidents. Combined with this theory and method, this paper designs and implements a safety supervision platform based on driving behavior. The platform mainly includes six functional modules: data preprocessing, driving behavior calculation, safety value calculation, data storage and push, and real-time display. The test shows that the platform can reduce the human factors affecting vehicle driving safety.
Research on the Construction of Legal System of Religious Property Rights based on Big Data Technology
Authors: Tianyi Zhang
Published: January 2025

In order to improve the scientific nature of the legal system of religious property rights, this paper combines big data technology and echo network technology to analyze the legal system of religious property rights, and proposes a DTDR-HCRJ network method. The method combines dynamic time delay based data reconstruction and HCRJ neural network to perform multivariate time series prediction for religious property rights data analysis. Moreover, according to the distribution and degree of variation of dynamic time delays, this paper tailors the time dimension and span of the corresponding multivariate data for each predicted value. Through the experimental research, it can be seen that the legal system model of religious property rights based on big data technology based on this problem has certain effects.
Analysis of Children's Literature Works based on Intelligent Image text Recognition
Authors: Yifan Meng
Published: January 2025

In order to improve the analysis effect of children's literary works, this paper builds an analysis system of children's literary works based on intelligent image text recognition technology. Moreover, this paper proposes a retrieval method with rotation, scale, and displacement invariance. For more abstract hand-drawn sketches, this paper proposes to use classification to identify the categories of sketches and to assist the retrieval process based on the similarity information of the tags.In order to improve the demand for the analysis of literary works, this paper uses images as the identification object to construct a system framework and process.In addition, in order to avoid the impact of speed on the accuracy of corner recognition, this paper performs isometric resampling of strokes in the preprocessing stage, and introduces an image structure feature recognition system.Finally, this paper designs experiments to test the system. From the test results, it can be seen that the system basically meets the analysis needs of children's literature and can be applied to practice.
Refining Cyber Fraud Tactics in the Retail Sector Applying Defense Mechanisms for Digital Trade Platforms
Authors: Dalia Magdi
Published: January 2025

The proposed work integrates deep learning and blockchain technologies to investigate a hybrid strategy for combating cybercrime in the retail industry. Long Short-Term Memory Networks combined with Convolutional Neural Networks have been used efficiently and effectively for anomaly detection, with a high success rate for fraudulent transactions. The Proof-of-Authority consensus algorithm is used in the blockchain measure, which ensures immediate validity with a transaction throughput of 1,200 transactions per second and validation times averaging 0.9 seconds. It offers a scalable and effective solution for securing digital trade platforms in retail and shows a reduction in fraud over six months.
Analysis of Regional Innovation Capability Based on Information Security Data Mining Algorithm
Authors: Meng Li
Published: January 2025

In order to explore the correlation of population structure and regional innovation capabilities, this paper uses big data technology as the basis to mine massive data and find out the main factors that affect regional innovation capabilities. Moreover, this article studies the influence of population structure on regional innovation capabilities and explores the internal correlation between population structure and regional innovation capabilities, which expands the research field of factors affecting regional innovation capabilities. In addition, this article initially establishes a relatively complete theoretical research framework on the influence of population structure on regional innovation capabilities and constructs a basic model of the correlation between population structure and regional innovation capabilities by combining theory with reality. Finally, this article uses actual data analysis and big data technology to carry out experimental analysis. From the research results, it can be seen that the system constructed in this paper has a certain effect, which demonstrates the correlation of population structure and regional innovation capabilities.
Multiple Data Analysis of College Students' Physical Health Based on Big Data
Authors: Huizhong Zhang
Published: January 2025

College Students' physical health data has the characteristics of high dimension, and the amount of data is particularly large. Big data method and self-organizing feature mapping network (SOM) method have unique advantages and visualization characteristics for processing high-dimensional mass data, so they become important tools for pattern recognition and visualization analysis of big data. Taking Zhejiang College of Security Technology students' physical health data as an example, this paper analyzes the regional characteristics of influencing factors and explanatory factors of students' physical health with big data and visual SOM method. Results the analysis showed that body weight and BMI index had regional consistency, which were the most important factors affecting students' physical health, and were also the main explanatory variables of students' physical health status. The regional difference of physical health of girls is relatively large, while that of boys is small. The clustering characteristics of students' physical health indicators also have regional consistency. This paper demonstrates the rationality of big data method and self-organizing feature mapping network method in pattern recognition and visual analysis of physical health data. The results provide a certain reference value for the analysis of physical big data.
Heavy Fog Image Enhancement Algorithm Based on Tophat Weighted Bilateral Filtering
Authors: Zihong Chen, Xiaoling Zhang, Liangyan Wang
Published: January 2025

A Retinex algorithm based on Tophat weighted bilateral filtering is proposed to enhance the distortion of images in highly heavy foggy weather, which makes it difficult to recognize objects. Firstly, The Tophat operator is used to correct the bilateral filter, keeping the edge effects of the brightness component. Then, an adaptive Gamma transformation is applied to expand the details of the saturation and brightness of the dark tones, and the reflection component is obtained from the illumination component through the Retinex algorithm to further enhance the detail information of the heavy image. Finally, the enhanced image is obtained by converting the HSV color space model into the RGB color space. The enhancement effect was evaluated from both subjective and objective aspects. The subjective evaluation results showed that the gray-scale range of the image was more reasonable, and objects in the image could be recognized more clearly. In terms of objective evaluation, when compared with the Retinex algorithm with color restoration (MSRCR), guided filter Retinex algorithm (GFR), improved dark prior algorithm, and Frankle-McCann Retinex algorithm (FMR), the proposed method greatly improved in terms of information entropy, standard deviation, and average gradient. The defogging effect was significantly improved.
Design and Implementation of a Workload Management System for University Teachers Based on Python
Authors: Peng Qian, Yuexingzi Wu, Mengting Liu
Published: January 2025

With the rapid development of society and the widespread adoption of computer network technology, the daily management of universities is gradually shifting from traditional manual methods to intelligent and information-based approaches, in order to meet the increasingly complex and diverse educational demands. In this process, managing teachers' daily workloads, which is a fundamental and crucial task, is facing more and more challenges. Traditional manual recording and statistical methods suffer from problems such as data omissions, errors in recording, and delays in statistics, which seriously affect the accuracy and timeliness of workload evaluations. Therefore, solving this issue has become an urgent task for universities. This research aims to design and implement an efficient and scientific university teacher workload management system, which seeks to enhance the precision and timeliness of workload assessments through informatization, ensuring fairness and justice in the management process. This will optimize the allocation and evaluation mechanism of teachers' workloads, thereby improving the work efficiency and motivation of teaching management personnel. The system is primarily developed using Python, presenting a solution that meets the needs of modern university management. The system not only addresses various issues in traditional management methods but also provides data analysis and decision support capabilities, offering strong technical support for the management of university teaching.
Research on Multi-pulse Splicing Algorithm for Coherent Wind Lidar
Authors: Zhendong Wang, Zaihong Hou,*, Jing Xu
Published: January 2025

In the field of pulsed coherent wind data processing, it is an ongoing challenge to effectively balance the accuracy of wind speed resolution while ensuring the accuracy of range resolution. In traditional methods, to maintain a high range resolution, it is often necessary to limit the number of data points in the range gate, which inevitably leads to a reduction in the Fourier transform spectral resolution and, in extreme cases, the loss or omission of key characteristic signals. In response, zero-padding or interpolation methods are usually used for processing, but since these methods do not really increase the amount of information in the data, their effects are not significant. To break through this limitation, a multi-pulse coherent splicing algorithm is proposed, which coherently splices multiple groups of adjacent pulse signals, thus maintaining both a high range resolution and a wind speed resolution. Numerical simulations and actual experiments are used for verification, and the results show that the performance of this algorithm is better than that of the traditional incoherent accumulation algorithm and can effectively serve the actual detection of the wind field.