bluuebunny/crossref_metadata_2025 huggingface dataset:
Mechanical and Corrosion Properties of Friction Stir Welded and Tungsten Inert Gas Welded Phosphor Bronze
Authors: Gopi S. , Mohan Dhanesh G. , Natarajan Elango
Published: December 2023

This study investigated the mechanical and corrosion properties of Friction Stir Welded (FSW) and Tungsten Inert Gas (TIG) welded phosphor bronze (CuSn4) joints. Corrosion tests were conducted on the welded joints, and the percentage of weight loss due to corrosion was measured at different time intervals. Results revealed that the percentage of weight loss due to corrosion of the TIG joint increased with time, whereas the percentage of weight loss due to corrosion of the FSW welded joint remained constant. This could be attributed to recrystallisation that happened in the solid-state welding, which reduced corrosion in the FSW welded joint. In addition, tensile tests were conducted to evaluate the strength of the joints. FSW with a spindle speed of 1300 rpm, weld speed of 0.06mm/sec, plunge depth of 0.25mm, pin profile of pentagon, and flat shoulder profile was found to produce good results. TIG welding with a welding speed of 1.75mm/sec, a gas flow rate of 7.5 cm3/min and an amperage of 120A also produced good results. The tensile strength of FSW was found to be approximately 1.6 times higher than that of TIG welding.
Research on Design Concept and Cultural Inheritance System of Tourism Cultural and Creative Products in the Context of Deep Learning
Authors: Yu Ying
Published: December 2023

In this paper, the design process of cultural and creative product design is first constructed in the context of deep learning and the categories of cultural idea factors are planned. The training of the network for the image extraction classification task is accelerated due to the deep learning model’s fitting ability. Secondly, the 3D virtual intelligence algorithm is applied to use the point cloud as the basis for reconstruction in order to generate a highly reproducible object surface model. Finally, the K-means algorithm is employed to obtain the final extracted color, which constitutes the technical foundation of the product design system. The final results show that the color matching degree reaches 8.91, while the image design level reaches 9.24, which illustrates the effectiveness of the tourism cultural and creative product design system under deep learning.
Exploring the Research on Media Communication Strategies of Public Welfare and Charity Organizations in the Context of Social Governance Innovation
Authors: Yang Qiwei
Published: December 2023

In the context of social governance innovation, the integration and sharing of information are studied through the construction of an information-sharing platform. The process of interpreting the evolution of new media information dissemination includes analyzing the characteristics and laws of information dissemination on various platforms. Based on the existing scale of public welfare charities, the kinetic evolution equation of the public welfare information dissemination model is established to describe the dissemination process of public welfare information and its influencing factors. The impact of media intervention on the final scale of public welfare information dissemination is analyzed using the collected Facebook dataset as the background, and it is found that the higher the media credibility is at t = 4, the public welfare information attracts media attention. After the release of public interest information, the immunity node began to show a gradual upward trend, reaching a maximum of 1.0. Indicating that after the media release of public interest information, the final scale of dissemination of public interest information increases.
Analysis of Innovative Talent Cultivation Strategy of Vocational Education under the Strategy of Developing the Country through Science and Education Based on Big Data Investigation
Authors: Zhang Yiyin
Published: December 2023

This paper is based on the big data survey under the strategy of science and education to develop the country and analyze the talent job skill demand. According to the social demand for education and the characteristics of the student source to design and formulate the talent training structure, through the cultivation of talents and social demand for game analysis, using linear programming methods to establish the game model of talent training mode. Game theory equilibrium theory can be used to solve on the basis of benefit function. The results of the teaching quality monitoring and evaluation system show that the students in this school achieved 9.7 in innovation consciousness and 9.5 in practical ability. The one-time signing rate reached 8.9, and the employment rate reached 7.7. It verifies that the talent cultivation strategy proposed in this paper can improve the quality, reduce the cost of talent cultivation of the enterprises and improve the practicability of the talents.
Color green and sustainable consumption behavior: A self-expansion perspective
Authors: Sun Hongyuan , Wu Zhongda
Published: December 2023

The existing literature on color psychology has focused on the cognitive and perceptual processes of colors. However, few researchers have explored the potential role of colors in shaping people’s environmental decision-making and behavior, a crucial issue related to sustainable development. Indeed, recent research has documented the salient effects of colors on consumers’ decision-making and purchasing behavior. Drawing upon the self-expansion theory, this study aims to investigate an interactive effect of people’s color green preference and their nature exposure experiences on sustainable consumption behavior, as well as the mediating mechanism of nature-connectedness. By conducting a survey study (N = 400), we found evidence of a significant interactive effect of color-green preference and nature exposure experiences on nature connectedness, which, in turn, promoted sustainable consumption behavior. This study extends research in color psychology by exploring how people’s preference for green colors could shape their sustainable consumption behavior. Also, it contributes to the literature on environmental behavior by understanding a self-expansion process of when and why green-preferred individuals consume in an environment-friendly manner.
Exploration of Computer Teaching Reform in Colleges and Universities under the Background of Informatization
Authors: Luo Wei , Wang Qi
Published: December 2023

Computer teaching in colleges and universities under the background of informationization is developing rapidly, but the teaching mode still has more serious problems, and computer teaching reform needs to be emphasized. This paper first proposes solutions to the problems of computer teaching in colleges and universities. Secondly, it uses hierarchical analysis to construct a computer teaching evaluation system model, then carries out educational information data mining through the DMOTE method, and uses C4.5 to optimize the model of DMOTE. Setting up a controlled experiment to analyze the students’ performance after receiving teaching reform, most of the students in the experimental group scored in the two segments of 80-89 and 90 or more, accounting for 60%, and the number of students scoring less than 60 points was less, only 6%. After the reform of the computer model, the students’ performance improvement is more obvious, and the reform effect is good.
Innovation and Practice of Educational Management System of Colleges and Universities under the Concept of Internet+ Education
Authors: Zhou Jing
Published: December 2023

Based on the data mining technology under the concept of Internet + education, this paper determined the type of clustering adopted, the type of clustering variables is discussed, and the division method and hierarchical method of clustering are utilized to divide the educational management work of counselors into management ability, management attitude, and management method, and the teaching quality of teachers is divided into teaching content, teaching art, classroom management, classroom structure, and teaching effect. Educational management countermeasures are proposed for clustering results, and developmental countermeasures and action paths are proposed. The values of management attitude, ability, method, and effect are 0.607, 0.566, 0.5528, and 0.5768, respectively. The scores of students’ education and management work are all above 0.55, which is a moderate level. The four attribute values indicate that management attitude has a strong role in the educational management work of college counselors.
Employment-oriented the education of ideologic and politic methods for college students in the context of deep learning
Authors: Yan Yun
Published: December 2023

Based on the advantages of the education of ideologic and politic in college students’ employment guidance, this paper puts forward the necessity of strengthening the path of the education of ideologic and politic in college students’ high quality and full employment. On the basis of the deep learning background, ID3 algorithm is selected to be applied to college students’ employment guidance, and ID3 algorithm is improved to obtain a classification model with better classification accuracy and decision tree streamlining, and then better provide employment guidance decision-making suggestions. It focuses on analyzing the structure of college students’ employment abilities and the methods of cultivating those abilities in the education of ideology and politics. Most of the students in the three majors of management, economics and engineering think that it is necessary to strengthen the education of ideologic and politic, and the proportion of students is 0.83, 0.94 and 0.80 respectively. The proportion of students in the three majors of literature, art and law who hold the attitude that it is very necessary is 0.40, 0.38 and 0.35 respectively. 74.2% of the students chose to enrich the methods and means of the education of ideologic and politic, and thus the methods of the education of ideologic and politic should be strengthened in order to improve the employment rate of college students.
Exploration and Practical Research on Physical Education Theory Innovation in Colleges and Universities under the Background of Internet
Authors: Bai Dan
Published: December 2023

This paper first analyzes the characteristics of the Internet “connecting everything”, gives the logical starting point for the research of physical education theory based on the Internet, and puts forward three major strategies for the innovation of physical education theory in colleges and universities. Secondly, it constructs the framework of physical education theory innovation in colleges and universities based on teaching and learning and uses the teaching and learning optimization algorithm to describe the teaching and learning phases of teaching and simulate the learning process of students. Finally, 99 students in college R are used as research subjects for comparative analysis of learning interest and performance. The results show that after the experiment, the intensity of students’ learning interest increased from 85.63 to 93.15 in the Experiment 1 class and from 88.89 to 92.43 in the Experiment 2 class, and there was no significant difference between the two experimental classes with P>0.05, and there was a significant increase in the overall learning interest of the students. The data show that the innovation of physical education theory can enhance students’ learning interest, which improves students’ academic performance and provides data support for the development of physical education in colleges and universities.
Analysis of the Cultivation Mechanism of Innovation and Entrepreneurship Ability of College Students in the Context of Information Age
Authors: He Liujian
Published: December 2023

In this paper, under the background of the information era, according to the control theory of education of Innovation and Creation in institutions of higher education, the evaluation index system of education of Innovation and Creation resources is constructed. In order to optimize the allocation of education of Innovation and Creation resources in institutions of higher education, multi-objective optimization analysis of education of Innovation and Creation resources in institutions of higher education is carried out and combined with the objective function and indicator weights as well as the MOPSO algorithm, which in turn completes the multi-objective optimization analysis model. We establish the research variables, analyze and research scheme, and carry out an empirical analysis of the education of Innovation and Development in higher education institutions against the backdrop of information technology. These form the basis of the study’s methodology for teaching Creative Thinking and Creation mechanisms in higher education institutions. The findings indicate that prior to the experiment, the model’s resource allocation efficiency for Innovation and Creation education varied significantly amongst schools, ranging from a minimum of 0.122 to a maximum of 0.186; after optimization, the allocation efficiency was 0.188, with a mean increase of 20.88%, thereby realizing the optimization of Innovation and Creation education resource allocation.Regarding the optimization of education for innovation and the creation of resource allocation. On education of Innovation and Creation, the interaction term of new entrepreneurship education and entrepreneurship includes the regression coefficient of education of Innovation and Creation*entrepreneurship is 0.038 (Model16: β = 0.038, p<0.001), and it is significant at the level of 0.001, and there is always a positive interaction effect between education of Innovation and Creation and entrepreneurship in the influence on intention. This study can provide a better platform for entrepreneurial practice for students, which is of great importance in enhancing their innovation consciousness and practical abilities in college.
Neural network-based fiber optic cable fault prediction study for power distribution communication network
Authors: Zhang Lixia , Yan Leifang , Shen Wendong , Li Fei , Wu Junyun , Liang Weiwei
Published: December 2023

As the foundation of communication networks, optical fiber carries huge network traffic, so the prediction of fiber optic cable faults is an important guarantee for the operation of communication networks. Based on the combination of fiber optic system networking technology and network management data, this study constructs an alarm correlation analysis method by using data mining technology to obtain the data set of the fault prediction model for the problem of low fault prediction accuracy of traditional communication networks. The dataset is used to balance the sample data by generating a small number of new samples through the generative adversarial network. The memory-based feature generation convolutional network is proposed to enhance the feature interaction to realize fault prediction in communication networks. The prediction model has a high prediction accuracy of 98.68%, which saves about 160 min for repair work through the application of fiber optic cable fault prediction, which compares well with other models. Fault prediction based on neural networks can provide assistance in the operation and maintenance of distribution communication networks.
Lightweight encryption of enterprise data and secure management of eventual graphical model construction
Authors: Liu Kunpeng , Zhu Longzhu , Xu Bin
Published: December 2023

In this paper, we use the event map as well as the even map reaction system, combined with the lightweight network data transmission encryption method of matrix tensor product, to establish the even map model for big data security management. The transmission data is compressed and reconstructed by matrix tensor compression perception, and the lightweight AES encryption of network transmission data is encrypted using the symmetric encryption method. In the end, the effectiveness of AES encryption and decryption while transmitting plaintext data is assessed for each department of Enterprise D in the service area of Edge Server Server. The results show that the lightweight AES encryption algorithm encrypts at an average of 85.33 ms less than the AES encryption algorithm, while the decryption time is 48.17 ms less, and the operation speed is faster. The algorithm demonstrates that it ensures the security of data transmission and enhances encryption and decryption performance simultaneously. In this paper, the research realizes the enterprise data transmission encryption college transmission, which provides a reference for data encryption.
Design and construction of age-friendly smart buildings based on BIM technology
Authors: He Yu
Published: December 2023

This paper explores the entry point of BIM technology in promoting intelligent construction and proposes an engineering safety accident prediction model for the construction of age-friendly intelligent buildings based on the gray prediction GM(1,1) method. Based on the physical condition of the elderly, the needs of the settlement, at the same time, the construction of an intelligent old-age design system, according to the needs of the corresponding response to the old-age building design, to facilitate the residence. The intelligent floor plate is identified as an example of the intelligent design results of age-friendly buildings by empirically analyzing their willingness to construct age-friendly intelligent buildings. In the willingness analysis, the survey results were analyzed for reliability validity and correlation; the reliability α coefficients were all greater than 0.7, the AVEs of the reliability were all higher than 0.5, the CRs were all higher than 0.7, and the reliability validity of the survey was high. The correlation coefficients were all >0, and there was a significant positive correlation between the survey variables. The vibration length was used as a criterion, and the accuracy, precision and recall were all 1. The experiments showed that the elderly have a high degree of intention to build age-appropriate intelligent buildings, and the buildings have a high accuracy in interpreting the state of the elderly, and they can detect problems in time and report them to the relevant personnel.
Leading the Innovative Development of Higher Vocational Teachers in the New Era with Craftsmanship in the Background of Internet
Authors: Liang Pengju
Published: December 2023

As an important part of the education system, higher vocational teachers should follow the trend of education reform and strive to improve themselves. This paper first explores the level of craftsmanship that higher vocational teachers have and constructs an evaluation index system for their craftsmanship level. Then, on the basis of FCM, combined with a mixed Gaussian model, the Gaussian collaborative fuzzy C-mean clustering algorithm, i.e., the GCFCM model, is constructed to classify and evaluate the level of craftsmanship that teachers have. Then, through the survey practice, after descriptive statistical analysis, data processing and clustering analysis were carried out, and the relationship between different types of values and the level of craftsmanship was explored. Finally, the innovative development strategy of higher vocational teachers under the leadership of craftsmanship is proposed from three aspects: cultivation mechanism, development path, and evaluation system. The results show that the cluster center of cluster number 0 is (0.74,0.59), the cluster center of cluster number 1 is (0.65,0.2), and the cluster center of cluster number 2 is (0.32,0.75), and the artisan spirit of the developmental type is lower than that of the excellent type and the comprehensive type of value by about 0.3 and 0.1, respectively. Existing higher vocational teachers have a low level of craftsmanship and need to lead the innovative development of teachers with craftsmanship.
Research on Optimizing the Path of education of ideologic and politic Combined with Multi-Objective Planning for the Cultivation of Innovative and Entrepreneurial Abilities
Authors: Qu Linlin
Published: December 2023

The co-development process between the two is enhanced by this study, which integrates the advancement of creativity and entrepreneurship skills with political and ideological instruction. The multi-objective planning model’s many benefits are utilized to accomplish this. Weak, medium, and strong levels are established based on internal, external, and environmental aspects in order to assess the extent to which political and ideological education has an impact on the development of creativity and entrepreneurial potential. Examine the relationship between national creation and entrepreneurship policies, creation and entrepreneurship courses, creation and entrepreneurship activities, creation and entrepreneurship competitions, and college students’ capacity for creation and entrepreneurship to determine the factors that influence this capacity. The examination of the institution of higher education determines the degree of creativity and entrepreneurship education by collecting data on demand, carrying out access channels, and the degree of cognition of creativity and entrepreneurship education. An optimization path for the education of creative and political students combined with multi-objective planning is suggested after the cultivation of the creation and entrepreneurial capacity of the students’ education is examined. The subjective cognition of creative and political students’ own creation and entrepreneurship capacity is not adequately taught; only 12.35% of them believe that their capacity for innovation is very good or very good, and 42.37% believe that it is not so good and needs to be strengthened.
Refined Urban Grid Simulation Planning Based on Low Carbon Goal Achievement
Authors: Tong Cuizhi , Zhang Hui , Wang Zhixin , Liu Yanzhi , Li Xiao
Published: December 2023

In this paper, a new grid planning combined with low-carbon operation simulation is proposed, a new grid planning and low-carbon operation simulation model is proposed, and the new grid planning model is investigated and illustrated from the four dimensions of constraints. For the new grid simulation planning model, the solution efficiency of the new grid planning model combined with low-carbon operation simulation is improved by the time series clustering method and the extreme scenario identification method based on the amount of lost load. Starting from the low-carbon benefit dynamics of the generation side and the consumption side, a refined urban new grid low-carbon benefit dynamic evaluation model is constructed, while the model parameters and table functions are set, and the low-carbon urban grid simulation planning based on low-carbon simulation is empirically analyzed by means of simulation analysis. The results show that in grid planning, when the carbon emission intensity is 1000gCO2/kWh, the S4 scenario only needs to add an extreme scenario in the iterative process to achieve a relative error accuracy of 0.1%, and the method of using the new grid planning and the low-carbon operation simulation model is sufficient to achieve the target of the loss of load rate and carbon emission intensity. In the evaluation of the low-carbon effect, with the increase in investment amount, the installed capacity of clean energy and the total CO2 emission reduction of the refined urban grid will show two relatively obvious upward trends.
Study on Energy Efficiency Improvement Strategies of Photovoltaic-Hybrid Energy Storage DC Microgrids under the Concept of Green Energy Conservation
Authors: Tong Cuizhi , Zhang Hui , Liu Hongbin , Tian Wei , Wang Chong
Published: December 2023

To improve the energy efficiency of a PV-hybrid energy storage DC microgrid, a series of management strategies are proposed in this paper. According to the working principle of photovoltaic cells, the variable step conductance increment method is used to track and control the output power of photovoltaic cells, and the time constant of the low-pass filter is dynamically adjusted according to the output characteristics of supercapacitors in different SOC intervals, so as to put forward a limit management strategy based on the supercapacitor’s SOC partitioning. An energy management strategy for PV DC microgrid based on hybrid energy storage is proposed to address the impact of internal power fluctuation on DC microgrid operation stability. Based on the voltage deviation range, the system is divided into five operation modes to achieve efficient distribution of system power. Through simulation verification, the charging state difference of the battery bank is reduced by 0.00537 after a charging process of 20 s under the withdrawal and addition of PV power, and the charging power ratio is 5.00:8.14:6.82 at steady state under the withdrawal and addition of the hybrid energy storage unit, U
dc
= 405.4V. This paper’s strategy makes the DC microgrid effective in improving energy efficiency and smoothing out power fluctuations in all operating modes.
Exploration of Strategies for Improving Brand Competitiveness of Agricultural Products in the Context of Digitization
Authors: Xu Meisi
Published: December 2023

Brand competitiveness of agricultural products has become an important source of agricultural production development. This paper proposes the source and generation mechanism of brand competitiveness through the analysis of brand equity differences, combined with enterprise and consumer levels. Based on the composition of brand competitiveness, brand cognition, quality perception, association and loyalty are selected as the influencing dimensions, and the initial hypothesis of competitiveness is initially constituted by applying relevant factors. Structural equation modeling was used to complete the measurement of the research data so that the model was revised, empirical research was conducted, and strategies for competitiveness enhancement were proposed through the discussion of the influence path coefficients. Brand awareness and brand quality perception have a direct positive effect on the competitiveness of regional brands of agricultural products, and the direct influence path coefficients of brand competitiveness are 0.294 and 0.195, respectively. The path coefficients of the influence of the regional natural environment on brand awareness reach 1.169, with an S.E. value of 0.725 and a C.R. value of 11.063, which are significant. The exploration of digitization shows a clear path for improving the competitiveness of agricultural product brands.
Digital Learning Models in Macro-Educational Reform
Authors: Guo Ying
Published: December 2023

This paper explores the digital learning model from the 4 paths of macro education reform. The four paths of macro education reform include improving the education system, changing the education model, updating education content, and establishing a comprehensive evaluation system. The construction of a learning port is based on the aspects of the learning environment and learning service, as well as research on the characteristics of digital learning modes. Based on BP neural networks, an evaluation model for community education digital resources has been established. The defects of the BP neural network are optimized by using an artificial fish school-frog jump hybrid algorithm, and 19 index factors are selected to construct the evaluation system of digital learning resources. Students’ digital learning abilities and the degree of innovation of digital learning resources in community education were separately analyzed using pre-and post-tests. The average performance of students in the experimental class improved by 9.89 points, and the score interval improved to [85,98], which was significantly better than the control class. The most obvious effect is the improvement of resource use performance, from 7.596 to 9.161. Improved learning ability and innovation of learning resources can be achieved through the use of digital learning modes.
Analysis of Teachers’ Discourse in the Digital Platform Mode of College English Teaching Based on the Information Diffusion Model
Authors: Hong Wenjing
Published: December 2023

This paper utilizes the information diffusion mechanism of the information extension model, which can act on the influence of students in the process of university English teaching to the information extension model to the diffusion ability that English information has. It examines the level of student activity and English information coverage in university English teaching and discusses the use of the information extension model in English teaching. According to the objectives of university English teaching, the functional requirements of the university English teaching platform are analyzed, the university English teaching platform based on the information diffusion model is designed through big data technology, and the English teaching platform combined with the information extension model is analyzed in an example study. The results show that on the model simulation analysis, the performance of this paper’s model is better than the User Rank model and UI-LR model when mining less than 30 information extensions. In the analysis of teachers’ discourse, the speech rate of teachers in the university English teaching platform is mainly concentrated in the range of 140-149 syllables/minute and 150-159 syllables/minute, and only one teacher’s speech rate exceeds 170-179 syllables/minute. This study has the potential to enhance students’ understanding of teachers’ discourse and establish a solid platform for communication between teachers and learners.
Feasibility of Strengthening Sandy Soils Using Industry Waste as Geo-Fiber
Authors: Kadhim Firas Jawad , Abed Musab Sabah , Almusawi Jwad K.
Published: December 2023

Re-using waste generated from daily domestic usage to improve weak soils such as dune sand gives a profitable solution to both environment and the construction sector. In this paper, weak sandy soil was modified with two types of fibers derived from daily domestic use. Plastic bottle waste fiber and tainted polypropylene sediment filter fiber were embedded in the sandy soil with a rate of (0.5%,1%,1.5%, and 2%) by weight of dry soil. Toward this, the direct shear test was conducted to confirm the optimum fiber content and evaluate other parameters such as shear strength, normalized ultimate shear strength, angle of internal friction, and adhesion. The results showed that the 1.5% fiber content showed higher values of angle of internal friction and the normalized ultimate shear strength for both types of fibers. The reinforcement with plastic bottle waste fiber and tainted polypropylene sediment filter fiber enhanced the shear strength parameters and normalized ultimate shear strength. Significant improvement was noticed in the adhesion value with the addition of 2% of tainted polypropylene sediment filter fiber. finally, the effect of fiber addition on the Mohr-coulomb failure envelope was discussed.
Modelling and Evaluation of Noise Dispersion from Wind Turbine Operations
Authors: Juodkiene Vytaute
Published: December 2023

All over the world, the need for energy is increasing, and the methods of obtaining it are harmful to the environment. Traditional energy resources are rapidly depleting. During the extraction and burning of fossil fuels, many different pollutants enter the environment. One of the renewable forms of energy is wind energy. Wind energy is mainly used to generate electricity in wind farms. Wind turbines are a unique source of noise because they are installed at a high height above the ground, and the noise emitted is fluctuating and manifests itself in a wide frequency range. Noise from wind turbines as low as 32 dB(A) is a strong nervous system irritant for some people, while noise of 40 dB(A) and above causes severe discomfort for many people [1]. Detailed noise modeling was carried out in the considered area, assessing how noise affects individual dwellings, noise in the living environment of residential buildings were modeled. The noise level without background noise sources of the nearest residential environment was determined by modeling at 31.9 dB(A) during the night, while the limit value for the protection of human health according to HN 33:2011 is 45 dB(A).
Bearing Capacity Analysis of Floating Foundation Model in Homogeneous Very Soft Clay
Authors: Srihandayani Susy , Hakam Abdul , Mera Mas , Ismail Febrin Anas
Published: December 2023

This study focused on the effect of trapped water on the bearing capacity of PVC pipe pile foundations. This research is divided into two models. The first model (pressure cap pipe pole) and the second model (open press pipe pole) each consist of four variations of PVC pipe diameters of 5.08 cm, 6.35 cm, 7.62 cm, and 10.16 cm (standard size PVC pipe diameter) with the same length of 30 cm. In the first type, all pipes are tightly closed at their upper ends. In the second type, all upper-end caps are given two holes, each with a diameter of 0.5 cm. Each pipe pile is alternately piled into soft soil with a moisture content of 98.8% is in a glass box measuring 120 cm x 20 cm x 60 cm. The test results of the load against decrease were analyzed using the Mazurkiwicks interpretation method. The bearing capacity of the end of the pole (Qp) along with the air trapped in the pipe pile (QA) can increase the carrying capacity of important poles compared to the carrying capacity of the pole side (Qs). PVC pipe poles belong to the floating pile foundation group due to the influence of air trapped inside the pile.
The Hygienic Quality of Meat Produced in a Lgeria: Meta-Analysis
Authors: Guergueb Nadjah
Published: December 2023

This meta-analysis aims to provide a comprehensive overview of the hygienic quality of meat in the context of Algerian meat production. A systematic literature search was conducted across various databases, yielding a pool of studies assessing the microbial contamination levels in different types of meat, including: poultry, beef, lamb, camel, sausages, and minced meat, within Algerian slaughterhouses and butcheries. A total of 25 studies met the inclusion criteria, with a combined sample size of 550 meat samples. The selected studies employed standardized methods for microbial enumeration: Total aerobic mesophilic bacteria (TAMB). The collected data were synthesized using random-effects meta-analysis models to estimate the pooled mean bacterial counts, as well as to explore potential sources of heterogeneity. The results of this meta-analysis, revealed considerable variation in bacterial counts across different meat types and sources. The overall pooled, mean bacterial count was 5.15 colony-forming units per gram (CFU.g−1), with significant heterogeneity observed (I² = 87.52 %, P < 0.001). Subgroup analyses indicated that bacterial counts were notably higher in butcher shops, highlighting the need for targeted interventions to improve hygiene practices in these areas. Furthermore, sensitivity analyses were conducted to assess the influence of individual studies on the overall results, and publication bias was evaluated through a funnel plot. In conclusion, this meta-analysis provides valuable insights into the hygienic quality of meat in Algerian meat production, emphasizing the significance of TAMB as an informative indicator. The observed variations in bacterial counts underscored the importance of hygiene practices throughout the meat supply chain, from farm to consumer.
Comparison of NDVI-2 Vaccine EID50 Titre Values After Three Weeks of Freight Under Cold Monitored Storage Condition
Authors: Egbuji Anthony N. , Gyallak James , Mukaila Fatima , Nnabuife Henry E. , Chukwuedo Anthony A.
Published: December 2023

The EID50 titres per dose values of three batches of NDVI-2 were determined as log10 EID50 7.7, 7.6 and 6.8 after production, against reference EID50 5.5 per dose. These values were log10 EID50 2.2, 2.1 and 1.3 above the reference EID50 for NDVI-2. These vaccines were re-evaluated at PANVAC laboratory Debre-Zeit, prior to release. The initial EID50 values were compared with EID50 values obtained by the certifying laboratory, after three weeks of cold monitored freight. The packaged vaccine cold storage temperature of +1.9 oC prior to the shipment, was recorded with the aid of a temperature logger. The temperature logger was set to record and retain packaged vaccine cold storage temperature at hourly intervals during the freight. At the end of three-week freight, the temperature logger readings were analysed, and temperature range of -2.48 oC to 7.7 oC was observed throughout the freight. However, sudden rise in packaged vaccine storage temperature from 7.7 oC to 22.28 oC was noticed on the last day of freight. The initial EID50 titre per dose values, when compared with EID50 log10 6.5, 6.8, and 6.6 per dose obtained by the certifying laboratory after the cold monitored freight and re-evaluation, showed EID50 titre loss of log10 EID50 1.2, 0.8 and 0.6, respectively. The observed EID50 loss could not invalidate these vaccine batches, considering that these had an initial EID50 titre per dose values that were well above the reference EID50 titre for NDVI-2. In Nigeria, and to our knowledge, this is the first recorded monitored cold storage temperature transit for NDVI-2.
Consumption of Cultural Content in the Digital Environment in the Post-Pandemic Latvia
Authors: Budanceva Jelena , Svirina Anna
Published: December 2023

Research purpose. COVID-19 has a huge impact on the life-style in modern society, including the switching to online studies and remote work. The majority of the studies view the consequences as negative, while at the same time the pandemic have enhanced some positive changes. The goal of the research is to find out, how the time spent online and the content consumed online are changed due to pandemic as well as to determine what cultural content young people are consuming online.

Design / Methodology / Approach. To achieve the research purpose author conducted a survey, using own developed instrument – questionnaire. In total, 1029 respondents participated and 934 questionnaires were valid. The survey was conducted in December 2020 using snowball sampling. The developed questionnaire contained 14 questions were grouped into 2 sections: A) Questions about consumption on cultural content online before and during the pandemic and B) Respondent profile.

Findings. Totally the number of hours young people are spending online in post-pandemic period increased because of COVID, but most fastest growth is by those who spent more than 8 hours (from 15 to 100 persons). 53,2% from all respondents are spending about ¼ of all time online consuming cultural content, and 23,2% are not consummating cultural content online at all. 3 main significant reasons why the youth is spending time online are: it is easy and fast (77%); the digital environment is always along in the phone (77%); in the digital environment it is possible to communicate with friends (65%). Spending time online most respondents are consuming informative content, including news and blogs (64%) and the content related to hobbies or leisure (60%), but the cultural content was ranked with just 26%. The most used digital cultural content is movie watching (30,5%), seminars and courses about culture (18,6%), conferences dedicated to culture topics (17,1%), tours in world museums (16,3%) and study books (15,9%). Further, gender, like gender, can not be considered both a significant factor and a predictor of digital consumption. Unlike the two, occupation and place of living are predictors for share of online cultural consumption: occupation appeared to be a moderating factor for digital consumption of cultural content, which make Latvian findings different from what appears in literature.

Originality / Value / Practical implications. The results of the research are representing changes in online consumption of culture goods and services caused by COVID-19. As the target group of this survey are youth from 18 to 25 years old, they can be used by evaluating potential and planning of culture goods and services online for this target group. It because evident, that some of the post-pandemic cultural consumption trends appeared as the impact of pandemic, enhancing cultural consumption growth in certain areas, involving more youngsters to cultural consumption compared to pre-pandemic period.
A pan-cancer analysis of the oncogenic role of Golgi transport 1B in human tumors
Authors: Tian Bo , Pang Yanan , Gao Ye , Meng Qianqian , Xin Lei , Sun Chang , Tang Xin , Wang Yilin , Li Zhaoshen , Lin Han , Wang Luowei
Published: December 2023

Background

Owing to the aggressiveness and treatment-refractory nature of cancer, ideal candidates for early diagnosis and treatment are needed. Golgi transport 1B (GOLT1B) has been associated with cellular malignant behaviors and immune responses in colorectal and lung cancer, but a systematic pan-cancer analysis on GOLT1B has not been conducted.

Methods

The expression status and clinical association of GOLT1B in The Cancer Genome Atlas (TCGA) were analyzed. Genetic and methylation alterations in GOLT1B were explored. The relationship between GOLT1B and immune cell infiltration was also investigated. Genes related to GOLT1B expression were selected and analyzed.

Results

GOLT1B was highly expressed in most tumors, and there was a positive correlation between GOLT1B expression and clinical pathological parameters. High expression levels of GOLT1B have been associated with poor prognosis of most cancers. Copy number amplification was the primary type of GOLT1B genetic alterations, which was related to the prognosis of pan-cancer cases. There were different levels of GOLT1B promoter methylation across cancer types. The methylation level of the probe cg07371838 and cg25816357 was closely associated with prognosis in diverse cancers. There was also a positive correlation between GOLT1B genetic alterations and CD4+ T lymphocytes, especially the Th2 subset, as well as between GOLT1B expression and the estimated infiltration value of cancer-associated fibroblasts. Serine/threonine kinase receptor-associated protein (STRAP), integrator complex subunit 13 (INTS13), and ethanolamine kinase 1 (ETNK1) were the most relevant genes for GOLT1B expression, and their interactions with GOLT1B were involved in regulating the transforming growth factor (TGF)-β receptor signaling pathway and epithelial-mesenchymal transition (EMT).

Conclusions

This pan-cancer analysis provided a comprehensive understanding of the oncogenic role of GOLT1B, highlighting a potential mechanism whereby GOLT1B influences the tumor microenvironment, as well as cancer immunotherapy.
Autophagy-dependent ferroptosis in infectious disease
Authors: Li Jiarou , Wang Hongliang
Published: December 2023

Autophagy is the initial defense response of the host against pathogens. Autophagy can be either non-selective or selective. It selectively targets the degradation of autophagic substrates through the sorting and transportation of autophagic receptor proteins. However, excessive autophagy activity will trigger cell death especially ferroptosis, which was characterized by the accumulation of lipid peroxide and free iron. Several certain types of selective autophagy degrade antioxidant systems and ferritin. Here, we summarized the latest researches of autophagy in infection and discuss the regulatory mechanisms and signaling pathways of autophagy-dependent ferroptosis.
Crosstalk between gut microbiota and gut resident macrophages in inflammatory bowel disease
Authors: Zhang Haohao , Wang Xueying , Zhang Jing , He Yixuan , Yang Xiumin , Nie Yongzhan , Sun Lijuan
Published: December 2023

Macrophages residing in the gut maintain gut homeostasis by orchestrating patho-gens and innocuous antigens. A disturbance in macrophages leads to gut inflamma-tion, causing conditions such as inflammatory bowel disease (IBD). Macrophages ex-hibit remarkable plasticity, as they are sensitive to various signals in the tissue micro-environment. During the recent decades, gut microbiota has been highlighted refer-ring to their critical roles in immunity response. Microbiome-derived metabolites and products can interact with macrophages to participate in the progression of IBD. In this review, we describe recent findings in this field and provide an overview of the current understanding of microbiota-macrophages interactions in IBD, which may lead to the development of new targets and treatment options for patients with IBD.
Digitaler Euro: hohe Kosten bei nicht erkennbaren Vorteilen
Authors: Bofinger Peter
Published: December 2023

The ECB has embarked on an uncertain path with the digital euro project. It is pursuing a strategy that is unclear about what problems it is trying to solve and what specific goals it is trying to achieve. The ECB has not yet been able to diagnose a clear market failure that would justify such far-reaching government intervention. The attempt to claim the need for a “monetary anchor” instead is not very convincing. The current design is unlikely to attract much interest from citizens and thus will not contribute to greater European strategic autonomy in the payment system. This requires a solution that does not rely on system-specific balances and is therefore more convenient, while simultaneously avoiding impending risks to the financial system.
Digitales Zentralbankgeld: Dabei sein ist nicht alles
Authors: Schäfer Stefan
Published: December 2023

The European Central Bank (ECB) wants to push ahead with the “digital euro” project. However, the digital euro is by no means the only and possibly not even a good (let alone the best) way to respond to the comprehensive change in the world of money. In terms of its reputation, the ECB must act with the utmost caution. Instead of launching its own project on the market in just a few years, the ECB would be well advised to take a step back and support a competition of ideas that is open to all technologies.
Claudia Goldin revolutioniert Wissen um Frauen im Arbeitsmarkt
Authors: Gathmann Christina , Sierminska Eva
Published: December 2023

This year’s Nobel Prize in Economics goes to Claudia Goldin from Harvard University. She is a labour economist as much as an economic historian, and only the third woman to receive the Nobel Prize in Economics. Goldin revolutionised our knowledge and understanding of women’s educational and occupational choices, their labour market careers and the family obligations they have faced over the centuries. Her work is extremely broad, spanning from historical studies of girls’ educational choices in the 19th century to the determinants of the gender pay gap in the 21st century. Her work sheds light on important economic and social developments that many have been overlooked. She identifies patterns and relationships that were previously hidden or unknown, and shows novel causal mechanisms for long-run changes that are di˚cult to identify empirically.
Von der Krisenreserve zur Agrarreserve – falsche Anreize im neuen Rechtsrahmen?
Authors: Kranen Dirk H. , Röpcke Iris , Weyel Jan-Eric
Published: December 2023

The European Union’s new Agricultural Crisis Reserve, introduced in 2023, aims at enhancing support for the agricultural sector during market crises. Unlike its predecessor, this reserve is funded directly from the EU budget, eliminating the need to cut direct payments to farmers. However, this change has unintentionally created an incentive for member states to trigger the reserve more frequently, depleting its resources rapidly. This article explores how this shift has led to a “Tragedy of the Commons” scenario, where member states seek individual advantages at the expense of the collective interest.
Entgelttransparenzgesetz erreicht Ziel nicht
Authors: Brändle Tobias , Koch Andreas
Published: December 2023

The German Pay Transparency Act (Entgelttransparenzgesetz) is intended to help enforce the principle of equal pay for women and men doing equal work or work of equal value. After the second evaluation, it is clear that this is not being achieved with the existing instruments of the law. Without major changes, the law remains largely ineffective - while at the same time imposing substantial bureaucratic requirements on firms. This article describes the results of the second evaluation and shows possible reforms.