bluuebunny/crossref_metadata_2025 huggingface dataset:
REGULATION OF GAS WELL PRODUCTION IN OFFSHORE OIL AND GAS FIELDS
Authors: Gulbahar Mammadova, Tagay Aliyev Gulbahar Mammadova, Tagay Aliyev
Published: March 2024

The main issue in the operation of gas wells is the regulation of the pressure in the well and the establishment of certain dimensions of the production flow. There is a "practical well productivity" in the field of gas production. Practical productivity measures are expressed as a percentage of full open well production, practical productivity should not exceed 25% of open well production. Practical productivity is effective and economically efficient debit. Limits of 20 or 25% apply to more or less large flow rates and early stages of operation. Then, due to the depletion of the reservoir, the pressure is very low, so it is allowed to take all the flow rate that the well can produce. At the last stage of the operation, the gas can be produced under vacuum. This optimum pressure also determines the "practical yield". Wellbore pressure can be expressed as a percentage of the pressure present in the formation during production at a distance from the well where the formation has not yet been depleted. To achieve practical productivity, it is necessary to produce gas with a certain back pressure. For each formation, it is important to have an "optimal working pressure" in the well during operation. For this reason, creating an optimal technological mode in wells during operation is one of the important issues. In the optimal technological mode, well production is maximum and resource consumption is minimum. In this mode, harmful events that disrupt the normal operation of the well do not occur. The so-called "90% method" is recommended for the operation of gas fields in the Republic of Azerbaijan. This method has been successfully applied in a number of gas fields in the United States.
Keywords: gas production, productivity, field depletion, practical productivity, flow rate, optimal mode, average well.
THE IMPACT OF TEMPERATURE ON SUCTION PERFORMANCE OF GEAR PUMPS
Authors: Ilman Hasanov, Madat Hamdulla Ilman Hasanov, Madat Hamdulla
Published: March 2024

Through meticulous experimental setups, including a closed-loop system and precision temperature controllers, our study systematically explores the impact of temperature variations on gear pump behavior. This observed phenomenon is attributed to fluid viscosity changes and underscores the intricate interplay between thermal dynamics and gear pump efficiency. In the comparative analysis, our findings are bench-marked against industry standards, revealing both congruities and disparities. The study goes beyond the immediate implications by presenting a sensitivity analysis of different gear materials concerning temperature variations. This work not only contributes to the theoretical understanding of fluid machinery but also has practical ramifications. The presented advanced statistical insights, including a cor-relation matrix, add depth to our comprehension of the interconnected factors influencing gear pump operation. In conclusion, this study provides a nuanced understanding of temperature's influence on gear pump suction performance. By combining empirical evidence with advanced statistical insights, our findings offer practical insights for optimizing gear pump efficiency in varying temperature conditions, ultimately contributing to the evolving landscape of fluid machinery research.
Keywords: gear pump, temperature variations, suction performance, fluid dynamics, experimental setup.
QUALITY AND CONTINUITY OF PLASMA PROCESSING OF THE TOP SURFACE LAYER OF THE REDUCER DRIVING SHAFT
Authors: Ayyam Abbasov, Turgay Namazov Ayyam Abbasov, Turgay Namazov
Published: March 2024

The method of repairing and restoring machine parts by plasma flow is one of the most advanced methods. Based on this, the article explains the superior indicators of plasma processing of the worn upper surface layer of the drive shaft of the reducer. It is noted that the internal structure of the general reducer consists of a combination of details. It is said that the drive shaft is the main part of the reducer that is subjected to the greatest load during operation. And in connection with the diametrical inner surface of the gear wheel and the top surface of the drive shaft, these surfaces are subject to wear in the process of vibration during operation. It is noted that a certain restoration method should be carried out for the worn part of the upper surface layer of the drive shaft. And this method is carried out to increase the physical-mechanical properties of the upper surface layer of the drive shaft. The restoration of the upper surface layer of the part (drive shaft) by the plasma method is explained. The coating formed on the upper surface layer of the drive shaft of the reducer as a result of diffusion increases the service life of this shaft. It is called from the vacuum-ion plasma method. And as a general result, plasma processing has a positive effect on the quality and durability of the wearable top surface layer of the reducer drive shaft. It is noted that this processing method is effective for strengthening the worn upper surface layer of the drive shaft of the reducer.
Keywords: drive shaft, top surface layer, plasma processing, strength, quality, continuity.
Strengthening the shield: analysing the Finland-Russia border dynamics in the context of EU and NATO security among contemporary geopolitical
Authors: Wywiał Przemysław
Published: March 2024

Objectives

The flood that hit the south of Poland in 1997 was an important test for the national security system, including above all the institutions and services responsible for general security and protection of the population. The Polish Armed Forces were also involved in the flood relief operations. The aim of the publication is to analyse the involvement of the forces and resources of the Krakow Military District in the flood relief operation.

Methods

Theoretical methods such as analysis, synthesis and inference on the basis of available sources, including legal acts, the military press (the Krakow Military District magazine Nasz Refleks) and scientific studies, were used to achieve the adopted objective.

Results

The article succeeds in achieving its aim. The structure and tasks of the Cracow Military District were presented. The preparation of engineering and anti-chemical troops to fight against non-military threats was discussed. Then the anti-flood action of the army was shown. Finally, the activities of the engineering and anti-chemical forces were analysed.

Conclusions

The Polish Armed Forces played a very important role in combating the effects of the 1997 floods. The action confirmed the good training and high morale of the soldiers. Engineering and anti-chemical troops performed specialised tasks. A major problem in the first days of the flood action was the chaos in the process of directing the flood action at the local level. There was also a lack of Civil Defence structures that could carry out humanitarian activities for the affected population.
Binary Numeration: From Ancient Egypt to a 19th Century French Mathematical Recreation
Authors: Moyon Marc
Published: March 2024

This article focuses on the use of base 2 in two historical contexts: ancient Egypt during the Middle Kingdom and 19th-century France. In ancient Egypt, base 2 was central to the “duplation” algorithm to multiply two numbers. In 19th-century France, it featured in mathematical recreations by Charles-Ange Laisant and Édouard Lucas. Duplation in ancient Egypt involved doubling a number successively, leveraging the binary nature of the numbering system for rapid calculations. In France, Laisant and Lucas contributed to mathematical recreations rooted in base 2, popularizing mathematics and engaging the public. The article aims to present these historical resources, highlighting their educational potential. It suggests integrating these examples into mandatory education from age 9 onwards, offering students a practical understanding of mathematics and its history. However, specific teaching methods are left to the reader’s discretion.
Meta-Analysis Study: Implementation of Rapport Element in Mathematics Education
Authors: Jumiran Mohamad Nurizwan , Masri Rohaidah , Adnan Mazlini , Tahir Norhaiza
Published: March 2024

Rapport is one of the elements that can be implemented among the students which aims to help them in enhancing their motivation and achievement during their conducted lessons in mathematics. Furthermore, it is needed to analyse critically and synthesize the trend of research and the method used in researching before implementing the rapport element in mathematics subjects in Malaysia. This research has analysed upon four articles related to implementation of rapport element which have been randomly picked from other researchers in Malaysia within a timeframe of 2016 to 2021. The results found that most of the previous researchers tend to choose the quantitative research method which adapted surveys design on collecting data over their research. The samples involved secondary school and high-level education students. Based on the 4 articles that were selected, it was found that there was a study on the effectiveness of the rapport elements in the process of teaching and learning as well as studies related to the significant relationship between the rapport element and other variables such as attitude, parents’ involvement and peers’ supports and also mathematics performance amounting to three researches. Overall, the research conducted by Malaysian researchers proved that the rapport element is suitable to be implemented among the students that help to result in better achievement besides providing motivational support for them. The rapport element will also help the students to have a better experience of learning mathematics in class.
Penerapan Sistem Informasi Akuntansi Menggunakan Software Accurate dalam Pengambilan Keputusan UMKM di Kota Mataram
Authors: Cahyani Suci , Nurabiah Nurabiah
Published: March 2024

Accurate is an accounting information system that is useful for facilitating the management of financial data for companies and MSMEs and producing information in the form of financial reports that can be used as a basis for decision making. So far there are still many MSMEs that have not implemented accounting information systems such as accurate software. This research is intended to find out how to implement an accounting information system using accurate software in decision making for MSMEs in Mataram City. The research method used was descriptive qualitative with data collection techniques through interviews and documentation with informants, namely each owner or manager and employees responsible for implementing Accurate Software from 4 MSMEs in Mataram City, including CV. Prabu Pande Perkasa, CV. Lancar Jaya Abadi, Geshuter Lombok, and Mahkota Lancar. The results of this research can be concluded that the application of Accurate Software to several MSMEs in Mataram City can be said to be quite effective according to TAM theory even though there is one drawback related to invoices which shows that there is an additional need for data processing. Then, in making decisions, MSMEs tend to take low risks, pay attention to basic information, and must have creative thinking.
Resiko Usahatani Kopi di Kabupaten Lampung Barat
Authors: Syahputra Fikri
Published: March 2024

The plantation sub-sector plays an essential role in maintaining the stability of food security and as a provider of raw materials for national industry. Coffee plants are a commodity that can grow optimally if cultivated in tropical areas. Lampung Province is one of the largest coffee producers in Indonesia. Production in 2022 will reach 118,043 tons. Most coffee farmers in the region form partnerships with companies by forming farmer groups. This research aims to (1) determine the difference in income between company-partner coffee farming and company-non-partner coffee farming and (2) determine the difference in the risk level of company-partner coffee farming and company-non-partner coffee farming. This research method is a survey method. This method is implemented by direct observation of a research object. This research was carried out in 2022. The location was selected based on West Lampung Regency being the largest coffee-producing area in Lampung. The total respondents were 67 coffee farmers from the Sumberjaya sub-district area. Sumberjaya subdistrict was chosen with consideration because it has coffee farmers who are partners and not partners with companies. The respondents were 49 coffee farmers who partnered with a company (PT. Indocafco) and 18 respondents who did not partner with a company. The research respondents were used as a whole (Arikunto, 2006) based on a population <100 (Nazir, 2014). Research data analysis consists of the coffee farming business income of company partners and non-partner farmers and risk analysis of the coffee farming business of company partners and non-partner farmers. The research results found that the total income of the company's partner coffee farms was greater than that of the company's non-partner coffee farms. Partner and non-partner farming is worth pursuing based on the R/C ratio value indicator >1. The coffee farming business of company partners and non-partners has potential risk with the coefficient of variation (CV) indicator value> 0.5. The coffee farming of company partners and non-partners can be profitable with the lower limit value indicator (L)>0.
Analisis Pendapatan pada Usaha Kerupuk Kulit di Kabupaten Kampar (Studi Kasus UD. Kerupuk Kulit Jon Kenedi)
Authors: Afifah Vesdia , Tety Ermi , Kusumawaty Yeni
Published: March 2024

This research analyzed production costs, production, and income obtained from the small-scale animal skin crackers industry Jon Kenedi. This research employed a case study method on local business UD Kerupuk Kulit Jon Kenedi. This industry is the largest, oldest, and most labor-intensive skin cracker business in Kampar Regency. It processes cowhide and buffalo skin into crackers. This research was conducted in December 2022. Data was collected by interviewing and filling out questionnaires directly with the owner of UD Kerupuk kulit Jon Kenedi. The data analysis used in this research was quantitative descriptive analysis using the Microsoft Excel program to analyze production cost, gross income, and profit analysis (net income). The results of the research show that the UD Jon Kenedi Skin Crackers agroindustry incurs production costs of IDR 146,572,050 per month to process 3,205 kg of raw skin so that it can produce 1,726.25 kg of skin crackers with a gross income of IDR 172,625,000 per month and net income of IDR 26,052,950 per month.
Analisis ROI (Return on Social Investment) Program Tanggung Jawab Sosial Lingkungan PT PLN (Persero): Upaya Pemberdayaan Wanita Difable melalui Pelatihan Pembuatan Batik Bekerja Sama dengan Rumah Batik Berkah Jambi
Authors: Malini Henny , Arissetyadhi Iwan , Rustam Yanet
Published: March 2024

People who have disabilities, both physical and mental, are an essential component of society. And by providing support or opportunities for them, they can help create social equality and inclusion. People with disabilities are often associated with a physical identity, leading to stereotypes about their abilities, which can lead to discrimination. The Batik training program for people with disabilities is an initiative that can help improve skills, encourage social inclusion, increase empowerment, and provide employment opportunities. Measuring the value of benefits relative to investment costs used in efforts to empower disabled Women through Batik training in collaboration with House of Batik Berkah Jambi. The evaluation recommends using the Social Return on Investment (SROI) method. The return on social investment method can help measure business performance. The social performance of an ongoing SROI is considered appropriate for understanding impact investing (investment activities that aim to create a social impact), such as activities funded from the company's TJSL funds, which are expected to create a social impact on the community, especially the company's local community. The method of implementing the activities used is qualitative research because this activity is exploratory, descriptive research. Sources were selected using a purposive sampling technique. For SROI evaluation, According to the guidelines issued by the SROI Network UK organization, this research must examine six (six) stages of the SROI analysis method. These stages will include the 2023 SROI empowerment analysis disable program results, providing an SROI value of 2.47 with criteria worth pursuing. This means that PT PLN (Persero) UID S2JB generates a profitable social impact and produces a high SROI ratio.
Pengaruh Harga dan Rasa terhadap Preferensi Konsumen Teh Kulit Buah Naga di Kabupaten Banyuwangi
Authors: Putri Annisa Amalia , Rusti Nanda , Nur Kurniawan Muhammad
Published: March 2024

Banyuwangi district has a high productivity of dragon fruit and is a superior horticultural agricultural commodity. One of the areas in Banyuwangi district that has great potential in cultivating dragon fruit is Jambewangi Village. A rich harvest will cause a surplus of dragon fruit on the market, lowering the sale price. During this time, the dragon fruit was eaten, and only the meat was processed, while the fruit's skin was not optimally utilized. The researchers wanted to create an innovation such as a product of herbal tea leather fruit. The research aimed to know and analyze consumers' preferences for the new product of Jambewangi village. This research was conducted from June until September 2023. The variables used in this study are price and taste. The research uses a quantitative approach by using a 1-5 Likert scale questionnaire in the tourist and culinary areas of Banyuwangi District. The sampling approach used is simple random sampling. The data is 32 culinary tourists. The data obtained will be analyzed through validity tests, reliability tests, classical assumption tests, and linear regression tests. The results of this study showed that there is a significant influence between price and taste on consumer preferences, with the F value counting of 16,784 > F table 3.30, so it is understood that when price variables and taste increase together, then the variable of consumers preference also increases, on the contrary, when the price variable and taste decreases. Consumers' preference variables also experience a decrease.
Strategi Pengembangan Teknologi Pertanian Padi Sawah di Langkat Sumatera Utara
Authors: Nofitasari Rahmi
Published: March 2024

Langkat Regency is one of the five largest rice fields in North Sumatra. This is an excellent opportunity to become a rice barn in North Sumatra. So, agricultural technology is needed to support increasing rice productivity. The research aims to form a strategy for developing agricultural technology in Langkat. The development strategy produces SO (strengths-opportunities) strategies, WO (weaknesses-opportunities) strategies, ST (strengths-challenges) strategies, and WT (weaknesses-threats) strategies (North Sumatra. This research was conducted in 2023 with one respondent as a Langkat Regency Agriculture Service field instructor. This resource person was chosen because he was considered capable of describing internal and external problems in lowland rice farming in Langkat. This research used the SWOT tool to identify the IFAS and EFAS factors of lowland rice farming. The study results are accelerating agricultural technology to increase productivity, monitoring the performance of extension workers in reducing pest attacks, and increasing productivity, training, and providing insurance for farmers. The agricultural service collaborates with BMKG for information on extreme weather.
Hubungan Emisi Karbon Dioksida dan Produk Domistik Bruto di Indonesia Periode 2000-2019 (Kajian Elastisitas dan Shift Share)
Authors: Nurhidayati Indah , Agustono Agustono
Published: March 2024

Economic development has positive and negative impacts on society. One of the negative impacts that occurs is the emergence of greenhouse gases (GHGs). GHG is a gas that causes climate change, disrupting the sustainability of economic development. On the other hand, economic growth also has a positive impact in the form of benefits in the form of goods and services produced. Looking at these facts, the expected economic development can increase GDP and reduce carbon dioxide emissions (CO2e). Based on this, this research aims to (1) find out the effect of GDP on CO2e emissions, (2) find out changes in the elasticity of GDP on CO2e emissions for the 2000-2009 and 2010-2019 periods, and (3) find out which sectors can reduce CO2e emissions and who is the trigger for changes in CO 2 e emissions. The data used in the research is secondary data from 2000-2019 from BPS Indonesia. The study was conducted in 2023. Sample for 20 years. The analysis used is regression combined with an intercept dummy, elasticity dummy, and shift share. CO2 emissions match GDP values, approximate benefits, and GHGs. The research results show that GDP positively affects CO2e emissions with an elasticity value greater than 1. The results of the shift-share analysis show that policies at the national level still make a positive contribution to CO2e emissions. Sectoral policies provide varying results. The suggestion that can be given is that GDP is still increasing CO2e emissions. Steps that can be taken by all economic actors, such as the government, entrepreneurs, and society, must prioritize actions that mitigate GHG by seeking to increase GDP and reduce CO2e emissions, namely by combining policy efficiency and sustainability.
Strategi Pemasaran Efektif untuk Meningkatkan Produksi dan Pendapatan Usaha Jamur Tiram (Studi Kasus PT Timur Mushroom Farm Desa Kuajang Kecamatan Binuang Kabupaten Polewali Mandar Sulawesi Barat)
Authors: Mardianti Niken Ayu , Saadah Saadah , Nadja Rahmawaty A , Tenriawaru A. Nixia , Sulianderi Ni Made Viantika
Published: March 2024

Mushrooms are a horticultural plant with many benefits for the human body and are easily cultivated and processed into products. However, many people do not know how to process oyster mushrooms, especially in the Polewali Mandar area, so PT Timur Mushroom Farm was established as a company that develops oyster mushroom cultivation. The research aims to describe internal and external factors and formulate alternative strategies more effective for companies in increasing production and income. The study was conducted in 2023 by combining two methods or a mixture of qualitative and quantitative methods. The data source is primary data obtained through interviews with the owner of PT Timur Mushroom Farm, while the variables in the study are marketing strategy and marketing mix. Secondary data is obtained indirectly through intermediary media such as journal theses from parallel research. Informants in the study ranged from 3 people with data analysis methods in the form of IFE and EFE matrices to determine the company's internal and external factors. The SWOT matrix brings up new strategies that can help the company develop, and the QSPM matrix determines which alternative strategies are prioritized to increase production and company revenue. The results showed 17 internal and external factors in the company. Alternative strat.
Some New Results on the Number of Tagged Parts Over the Partitions with Designated Summands
Authors: Mehta Abhay , Vandna  , Kaur Mandeep
Published: March 2024

The partitions with designated summands were introduced. In such partitions, among those parts of the same magnitude, one is tagged or designated. This work presents some new results on partitions with designated summands. The total number of partitions of n with designated summands is denoted by PD(n). PDO(n) indicates how many partitions of n there are with designated summands where every component is odd. The number of tagged parts across all partitions of n with specified summands is known as PDt(n), and the number of tagged parts across all partitions of n with designated summands in which all parts are odd is known as PDOt(n). In this study, we demonstrate a few new congruences modulo 2 and 4. We employed the dissection approach to access our recent discoveries.
Solving Nonlinear Fractional Differential Equations by Using Shehu Transform and Adomian Polynomials
Authors: Singh Amandeep , Pippal Sarita
Published: March 2024

The current article provides a detailed analysis of the solution of non-linear ordinary differential equations of fractional and non-fractional order in series forms using the Shehu transform (ST) and the Adomian decomposition method (ADM), also known as the Shehu transform Adomian decomposition method (STADM). Previously, these methods were used to solve differential equations of integer order as well as a very small number of ordinary and fractional differential equations (FDEs). The Caputo's operator is used in a number of well-known FDEs, including the logistic equation, the Van der Pole equation, and other non-fractional order differential equations like the nonlinear Bratu type equation. It is noted that all of the example issues had series solutions thanks to STADM. Plotting the graph for several series terms of the series solution demonstrates how the approximate solution tends to the closed form solution. In some example problems the impact of α is shown.
Mitigating Multicollinearity in Linear Regression Model with Two Parameter Kibria-Lukman Estimators
Authors: J. I. Idowu , A. T. Owolabi , O. J. Oladapo , K. Ayinde , O. A. Oshuoporu , A. N. Alao
Published: March 2024

This study delves into the challenges faced by the ordinary least square (OLS) estimator, traditionally regarded as the Best Linear Unbiased Estimator in classical linear regression models. Despite its reliability under specific conditions, OLS falters in the face of multicollinearity, a problem frequently encountered in regression analyses. To combat this issue, various ridge regression estimators have been developed, characterized as one-parameter and two-parameter ridge-type estimators. In this context, our research introduces novel two-parameter estimators, building upon a recently developed one-parameter ridge estimator to mitigate the impact of multicollinearity in linear regression models. Theoretical analysis and simulation experiments were conducted to assess the performance of the proposed estimators. Remarkably, our results reveal that, under certain conditions, these new estimators outperform existing estimators, displaying a significantly reduced mean square error. To validate these findings, real-life data was employed, aligning with the outcomes derived from theoretical analysis and simulations.
An Enhanced Differential Evolution Based on Center Mutation for Environmental Economic Dispatch
Authors: xu ke , chen ming
Published: March 2024

In order to improve the convergence of multi-objective differential evolution (DEMO) algorithm while ensuring well distribution, a new method of center mutation-based DEMO (CM-DEMO) is proposed. Firstly, the form of mutation is improved, the center of the population in the current generation is taken as a base vector, and then the direction of difference vector is determined according to the fitness value of the three random vectors of individuals, secondly, the strategy of adaptive crossover probability is given, the crossover probability is determined according to the distribution of fitness value in the population. Test of benchmark functions show that CM-DEMO algorithm has faster convergence rate. Finally, CM-DEMO is applied to environmental economic dispatch of power system. Compared with other methods, the simulation results obtained demonstrate the feasibility and effectiveness of the proposed algorithm for solving the problem.
Innovative of Archives Management in China Based on the Application of Big Data
Authors: zhang caiming , wang wei , wen xiaoyi , pan taiping , ning xinglong , yang menghan , wang jiaotao , wang peng
Published: March 2024

In order to improve the quality of photovoltaic power injected into the grid, a high-voltage flexible direct current (Voltage Source Converter-High Voltage Direct Curren, VSC-HVDC) grid-connected scheme based on a micro-synchronous phasor measurement unit (μPMU) coordinated control strategy is proposed. The four-terminal topology of photovoltaic power plants connected to the grid via VSC-HVDC is designed, and two photovoltaic power plants are connected to the grid via VSC-HVDC model using Matlab/Simulink simulation software to simulate when the light intensity is changed, the photovoltaic power plant is out of operation and the grid voltage occurs In the case of sudden changes, the system voltage, power, and AC side frequency can still maintain stable operation, which verifies the feasibility and effectiveness of the transmission scheme, and improves the stability and power quality of the power grid
Investigating the Acceptance of Meta-Universe Technology for Football Course Training among University Physical Education Teachers: A UTAUT2 and TTF Model Approach
Authors: bu fan
Published: March 2024

This academic paper explores the integration of artificial intelligence (AI) and virtual reality (VR) in the sports industry, specifically in the context of improving the quality of football teaching in universities. The growing impact of the metaverse concept on science and technology necessitates the utilization of AI as a critical technology in virtual worlds. Furthermore, the success of AI in various fields, coupled with the advancements in information technology, underscores the inevitability of integrating AI and sports. As traditional sports undergo a quality revolution, the integration of AI and virtual reality becomes increasingly crucial. Therefore, this study focuses on the use of VR to enhance the quality of football teaching at the university level.Virtual reality, characterized by its immersive, interactive, and imaginative features, is deemed suitable for constructing physical education courses. This paper explores the strategies for improving the quality of university football courses within the context of the mobile Internet era. By combining physical education with virtual reality technology, the effects of virtual reality-based physical education curriculum and the factors influencing the willingness of physical education teachers to adopt virtual reality technology are examined. To enhance the interpretation of acceptance intentions, this study integrates the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model with the Task-Technology Fit Theory (TTF), resulting in a novel conceptual framework. Moreover, quantitative research based on collected data is conducted. The findings demonstrate that performance expectation, promotion conditions, hedonic motivation, price value, and individual innovation ability serve as significant predictors of acceptance intentions towards virtual reality technology.
Data analysis and visualization of mental health research of Chinese and foreign college students
Authors: chen ke , zhao bin
Published: March 2024

The purpose of this study is to comprehend the study hotspots and frontiers in the field of college students’ mental health in China and overseas, to reveal their similarities and differences, and to clarify the future direction of research. The study visually analyzed 3,314 documents collected by CNKI and 7,931 documents in the Web of Science core collection from 2012 to 2022 using pathfinding network algorithm. The results indicate that a vast network of global partnerships has been established. The number of Chinese scholars published in English journals is increasing rapidly; the hotspots of college students’ mental health research in China and abroad mainly focus on the main characteristics of college students’ psychological problems, the factors influencing the level of mental health and the responses to mental health management, as well as the differences in the focus of Chinese and foreign stage research and the differences in highlighting the frontier themes. These differences in focus and themes of the frontier are important. Future research should strengthen the study of new technologies such as big data and artificial intelligence in early warning and digital intervention of psychological crisis.
Research on the use of social media marketing by small and micro Electronic Commerce enterprises in China
Authors: yuan zhangjie
Published: March 2024

With the development of the Internet, mobile Internet, big data, cloud computing, artificial intelligence and other new generation technologies, information dissemination has entered the era of social media. The development of various social media platforms has changed the mode of e-commerce marketing, and new marketing methods such as “live streaming marketing”, “short video marketing”, and “community marketing” have emerged. However, with the popularization of online shopping and online store opening techniques, more and more online stores are registered on e-commerce trading platforms such as Taobao, JD.com, and Pinduoduo, and the number of products is increasing exponentially. This has led to a decreasing probability of online store products being seen by customers. Therefore, it is very important to carry out social media marketing. There is currently no research conducted on the data of social media marketing conducted by small microelectronic commerce enterprises operating online stores on e-commerce platforms. Therefore, this study will investigate the social media marketing data of these small and micro Electronic Commerce enterprises, including marketing costs (investment costs), teams, marketing methods, marketing effects (revenue obtained), etc. By analyzing these data, the social media marketing status of small and micro Electronic Commerce enterprises will be analyzed, and based on the knowledge learned, some suggestions and strategies will be proposed.
Development Path of Labor Education in the Era of Artificial Intelligence in China
Authors: wang changtu , ren junliang
Published: March 2024

This article elucidates the logical relationship between artificial intelligence and the development of labor education in China. Taking the perspective of Marxist labor theory, it points out that the rise of artificial intelligence is an inevitable outcome of the development of social production relations and productivity. It raises new questions and challenges regarding the essence and role of labor. The article emphasizes the new requirements of artificial intelligence for the quality of workers, highlighting new opportunities and challenges for labor education in adapting to future labor market demands, including technological barriers, digital divides, and the innovation of educational systems and institutions.In conclusion, the article proposes a development path for labor education utilizing artificial intelligence technology. It underscores the upgrading of labor education theories, focuses on the application of artificial intelligence technology in labor education practices, and suggests the establishment of a diversified labor education evaluation system. This aims to cultivate students’ innovative practical abilities, emphasizing interdisciplinary integration and collaborative mechanisms to collectively promote the development of labor education.
Research on the Innovation Path of the Communist Youth League’s Ideological Leadership for Youth in the New Media Environment
Authors: mao yirong , he bin , wang kan , wang xiangyu , zhao ziyi
Published: March 2024

This paper intends to focus on the innovative path of the Communist Youth League’s ideological leadership for youth in the new media environment as the main research direction. The ideological leadership work of college students is the fundamental political task of the Communist Youth League organization in colleges and universities. The article revolves around the characteristics and advantages of the Communist Youth League in colleges and universities in the work of ideological leadership of college students. Through methods such as questionnaire surveys and case studies, it identifies the problems existing in the Communist Youth League’s ideological leadership for youth. By practicing socialist core values, optimizing top-level design, enriching educational connotation, based on campus cultural practice, innovating activity carriers, strengthening the construction of the Communist Youth League team, and improving the evaluation system, it explores new paths for the Communist Youth League organizations in colleges and universities to lead young students with digital technology in the new era, providing references for the ideological leadership work of the Communist Youth League under new circumstances.
Construction of evaluation indicator system of college students’ innovation and entrepreneurship education impact based on CIPP evaluation model
Authors: zhang yueli , chen dehua , zhang lijuan
Published: March 2024

The evaluation indicator of innovation and entrepreneurship education provides a scientific and objective basis for the development of innovation and entrepreneurship education in colleges and universities. To ensure a scientific and reasonable evaluation, it is necessary to establish a comprehensive and feasible evaluation indicator system. This evaluation indicator serves as a crucial tool in measuring the performance of innovation and entrepreneurship education, enabling colleges and universities to identify and address any shortcomings. It also aids in achieving the goals of colleges and universities and effectively managing their performance. This paper utilizes the CIPP evaluation model to construct the evaluation indicator of innovation and entrepreneurship education. The literature research method, interview, and Delphi method (expert survey method) are employed to determine the percentage and weight coefficient of each indicator through two rounds of expert consultation. Finally, based on the guidance of experts and practical experience in evaluating innovation and entrepreneurship education, the final evaluation indicators are determined, consisting of 4 primary indicators, 14 secondary indicators, and 44 tertiary indicators.
The impact of artificial intelligence on the digital transformation of Chinese trade unions
Authors: ren junliang , wang changtu
Published: March 2024

In the digital era of the 21st century, artificial intelligence, as a cutting-edge technology, is causing profound changes globally. China, as a populous country, is renowned worldwide for its rapid economic and social development and rapid technological progress. In this context, the digital transformation of Chinese trade unions, as an important bridge connecting the government, enterprises, and employees, has become an inevitable choice to enhance work efficiency and strengthen public service capabilities. Artificial intelligence has a positive impact on the digital empowerment of Chinese trade unions, including promoting the improvement of trade union work efficiency, enhancing the quality and scope of trade union services, meeting the diverse needs of employees, and strengthening the organizational power and influence of trade unions, promoting the sustainable development of the Chinese trade union cause. By utilizing artificial intelligence technology, the digital transformation of trade unions can be propelled, elevating the intelligence and precision level of trade union work. Trade unions should actively embrace artificial intelligence technology, continuously explore innovation to adapt to the development needs of the digital economy era.
Research on curved surface 3D printing system based on rotary cylinder
Authors: zhang bingbing , feng jiahao , hu yalong , zhang nan , zhang qiang , gao chaojun
Published: March 2024

FDM technology faces pain points such as poor forming surface quality, dependence on support structures, low consumable utilization, and low printing efficiency. Although robotic arm-based 3D printing technology can solve some of the pain points, there is currently no mature solution to comprehensively solve these problems. Considering the FDM printing characteristics of the spiral structure, a curved surface 3D printing system based on rotary cylinder was proposed. Rotary cylinder structure is used as the surface printing abasement, a plane-based curved path planning method is proposed for generating the plane-based curved paths. The classical plane-based path planning theory is applied in the proposed curved path planning method by means of a mapping process from the cylindrical 3D curved path to the cylindrical 2D. The test experiments verify the feasibility of this scheme and its progressiveness. Compared to the path planning methods of ModelLight and Cura software in the plane 3D printing technology, the proposed rotating 3D printing system significantly improves printing efficiency and saves hundreds of times the memory occupied by generated printing files, and provides better surface quality and higher material utilization. This work lays the foundation for the subsequent research on high-speed 3D printing systems.
Ronpetersonite, BaWO4, the Barium Analogue of Scheelite, a New Mineral from the Gun Occurrence in the Yukon, Canada
Authors: Macquistan Mary G. , Groat Lee A.
Published: March 2024

Ronpetersonite, BaWO4, is a new mineral from the Gun occurrence in the Yukon, Canada, where it is found in aggregates up to 500 µm in diameter in a groundmass comprised of witherite, cerchiaraite-(Al), and edingtonite. Grains of ronpetersonite are heavily included and anhedral. Crystals are colorless and transparent with a vitreous luster and white streak. Fracture and cleavage could not be determined. The calculated density is 6.363 g/cm3 based on the empirical formula. The empirical formula calculated on the basis of electron probe microanalysis (n = 11) is Ba1.00W1.00O4. Ronpetersonite is tetragonal, I41/a (space group 88), a = 5.6192(4) Å, b = 5.6192(4) Å, c = 12.7348(11) Å, α = 90.0(0)°, β = 90.0(0)°, γ = 90.0(0)°, V = 402.11(6) Å3, Z = 4. The crystal structure [R1 = 1.2% for 400 reflections with Fo > 4σ(Fo) and R1 = 1.8% for all 491 unique reflections] shows ronpetersonite to be the Ba-analogue of scheelite. The mineral is named in honor of Emeritus Professor Dr. Ronald C. Peterson of Queen’s University for his important contributions to mineralogy, especially the mineralogy of mine wastes, sulfate minerals, and the mineralogy of Mars.
Comparative Analysis of Pupils’ Academic Achievements in Public and Private Schools in Ekiti State
Authors: Ajayi Oyedokun Samuel
Published: March 2024

The study observed the comparative analysis of pupils’ academic achievements in public and private schools in Ekiti State. The study used a descriptive research design of survey type. The sample consisted of one hundred and eighty-two (182) respondents that were selected from the private and public primary schools in urban and rural areas of Ekiti State. A simple random sampling technique was employed in the selection of the 182 respondents and gender equality was considered in selecting respondents for the study. Two instruments were developed and used for the study. Based on the data analyses, findings revealed that there was a significant difference in academic achievements of private and public primary school pupils in favour of private schools. It was further revealed that there were significant effects of the factors responsible for difference(s) in academic achievements between private and public primary school pupils. The outcome of the study showed that the public primary schools which were established, financed and managed by the government have not been performing up to expectation with respect to academic achievements of pupils. Sequel to the findings of the study, it was recommended that government should give adequate priority and proper attention to the education industry, particularly, the public primary schools to enhance proper pupils’ academic achievement.
Financial Development and Real Sector Growth: An Empirical Investigation of Nigerian Economy (1970-2022)
Authors: Oluranti Olufemi Adebayo , Adepoju Oluseye Taiwo , Muhammad Rahilatu Ahmad , Gambo Nasamu
Published: March 2024

The implementation of several banking sector reforms in Nigeria were undertaken to enhance accessibility of finance to especially, the real sector of the Nigerian Economy, but surprisingly the sector is still bedevilled with inadequate access to finance especially from the deposit money banks that warehoused about 90% of the total financial sector assets. High nominal interest rate is the major cause for many firms to avoid bank-borrowing. These myriad financing challenges facing the real sector calls for the assessment of finance-growth nexus in Nigeria. In this regard, this study examines the long run relationship between selected financial development indicators and real sector growth in Nigeria over the period 1970-2022. Based on the nature of the study, correlational research design was adopted while secondary data source was mainly employed. Johansen and Juselius’ (1990) approach to cointegration and Vector’s Error Correction Modelling (VECM) was used to determine the extent of the relationship between the variables. The findings of the study revealed that in the short-run, liquid liabilities of deposit money banks, trade openness and credit to the private sector exert statistically significant influence on the real sector of Nigerian Economy while in the long-run, liquid liabilities of deposit money banks, trade openness, credit to the private sector, interest rate spread and government expenditure exert statistically significant influence on the real sector of Nigerian Economy. Conclusively, the study affirmed that the Mckinnon and Shaw (1973) theory of Financial Liberalisation can explain the paucity of funding to the real sector of the Nigerian economy. The policy implications of the study are; financial reforms should focus providing low-cost credit and liberalising the interest rate. Also, government and deposit money banks should direct their on-lending activities and credit facilities towards encouraging and financing entrepreneurs to increase investment and in turn real sector growth.
Impact of Communication in the Success of Health Insurance Schemes in Nigeria: The Plateau State Contributory Healthcare Management Agency Perspective
Authors: Fabong Jemchang Yildam
Published: March 2024

The importance of communication in the success of health insurance has become glaring over the years. Communication principles are used today as Health communication control strategies, educating patients about medical care options on various disease prevention, advocacy on marketing health plans and products etc. This study evaluated the communication strategies of the Plateau State Contributory Health Insurance Agency (PLASCHEMA) on the Plateau citizens. The method of study was mixed; quantitative and qualitative approach. Both primary and secondary sources were employed in obtaining data. The population of the study consists of 6 Local Government Areas in Plateau State. Findings established that PLASCHEMA as an organization utilizes the corporate communication strategies and that there is good level of awareness of PLASCHEMA activities. The study concluded that the communication processes in place by PLASCHEMA have been yielding average level of outcomes. For better impact, the study recommended that the agency needs to diversify its communication approaches, adopt strategies to step down their campaigns in local languages, hire the services of information professional and public relation consultants as parts of the envisaged capacity building.