bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact Of Social Media Marketing On Buying Behavior Of Ladies
Authors: Aziz Khanda Gharib , Jabar Lava , Wahbi Darya , Luqman Rayan
Published: February 2024

Social media has impacted society in significant ways on the fiscal, political, and societal levels over the past ten years. Traditional media's impact is waning, but social media platforms are being adopted globally at an unprecedented rate, highlighting the extraordinary nature of the social media phenomenon. This study examines the effects of social media and influential personalities within social media on women’s buying behaviour, and the extent to which social media influences women’s buying behaviour. For this purpose, online survey forms were distributed to 226 women aged 18 to over 55 years. In addition to demographic information including age, education, income, marital status and social media types including Facebook, Instagram, Snapchat, WhatsApp, Twitter, and YouTube, we have six questions for the independent variable social media and five for the dependent variable setting female buying behaviour. Our data were analysed with the help of SPSS. The results show that part of women’s buying behaviour is determined by social media marketing. Other changes attributed to other factors that influence women’s buying behaviour.
Membangun Ketangguhan Keluarga Dalam Menciptakan Masyarakat Yang Madani
Authors: Rosyada Rosyada
Published: February 2024

Mewujudkan masyarakat madani adalah membangun kota budaya bukan sekedar merevitalisasikan adab dan tradisi masyarakat lokal, akan tetapi juga membangun masyarakat yang berbudaya agamis sesuai keyakinan individu, masyarakat berbudaya yang saling cinta dan kashi yang menghargai nilai – nilai kemanusiaan. Ugkapan lisan dan tulisan tentang masyarakat madani semakin marak akhir-akhir ini seiring dengan perkembangan zaman dari masa ke masa. Gerakan membangun masyarakat madani Indonesia adalah sebuah pilihan tepat untuk menjadikan bangsa dan negara sejahtera. Membangun ketangguhan keluarga merupakan salah satu hal yang penting dalam menciptakan masyarakat madani. Karena pendidikan pertama yang didapat manusia masyarakat berasal dari keluarga atau orang – orang yang tinggal bersama walaupun tidak sedarah. Keluarga yang menjadi batu bata pertama untuk membangun sebuah istana masyarakat muslim dan merupakan madrasah iman yang diharapkan dapat mencetak generasi-generasi muslim yang mampu meninggikan kalimat Allah SWT. dan meneladani ajaran-ajaran rasululah saw. Bila pondasi ini kuat maka mencerminkan karakter yang baik bagi masyarakat dan akan terwujudnya kesejahteraan yang didambakan dalam bermasyarakat yang madani.
What do our trade journals publish?
Authors: Editorial Article
Published: February 2024

.
Research Data Publishing Ethics Working Group flowchart: Concerns about risk (e.g. potential harm or privacy breach) – Pre-publication
Authors: FORCE11 COPE
Published: February 2024

.
Regional Dissent: Do Local Economic Conditions Influence FOMC Votes?
Authors:   Federal Reserve Bank of San Francisco, Bobrov Anton , Kamdar Rupal ,   Indiana University  Bloomington, Ulate Mauricio ,   Federal Reserve Bank of San Francisco
Published: February 2024

U.S. monetary-policy decisions are made by the 12 voting members of the Federal Open Market Committee (FOMC). Seven of these members, coming from the Federal Reserve Board of Governors, inherently represent national-level interests. The remaining five members, a rotating group of presidents from the 12 Federal Reserve districts, come instead from sub-national jurisdictions. Does this structure have relevant implications for the monetary policy-making process? In this paper, we first build a panel dataset on economic activity across Fed districts. We then provide evidence that regional economic conditions influence the voting behavior of district presidents. Specifically, a regional unemployment rate that is one percentage point higher than the U.S. level is associated with an approximately nine percentage points higher probability of dissenting in favor of looser policy at the FOMC. This result is statistically significant, robust to different specifications, and indicates that the regional component in the structure of the FOMC could matter for monetary policy.
MOBILITY AND MOVEMENT RIGHTS IN MALAYSIA: THE CONSTITUTIONAL ULTIMATUM
Authors:   Faculty of Law, Universiti Teknologi MARA Sabah Branch, Kota Kinabalu Campus, Muhammad Izwan Ikhsan , Saslina Kamaruddin ,   Faculty of Management & Economics, Sultan Idris Education University, Perak, Ku Mohd Amir Aizat Ku Yusof ,   Faculty of Law, Universiti Teknologi MARA Sabah Branch, Kota Kinabalu Campus
Published: February 2024

The Constitution of Malaysia protects freedom of movement. However, national security, public order, public health, punishment of offenders, subversion, emergency and special immigration rules in Sabah and Sarawak restrict mobility rights under the Constitution. The purpose of this article is to examine the scope and characteristics of freedom of movement under the Malaysian Constitution, as well as the reasons for restricting such rights. The freedom of movement in Malaysia is limited because of the extensive exclusions that can be used to deny such rights. This article concludes that individual movement rights should be balanced against competing goals to maintain national security, public health, offender punishment, subversion, and emergency.
Biochar and compost amendment to enhance sweet corn growth
Authors:   Faculty of Plantation and Agrotechnology, Universiti Teknologi MARA, 77300 Merlimau, Melaka, Malaysia, ABDULLAH NUR SURAYA , ABDUL RAHMAN MUHAMMAD ARSYAD ,   Faculty of Plantation and Agrotechnology, Universiti Teknologi MARA, 77300 Merlimau, Melaka, Malaysia, ABDUL AZIZ NOORSHILAWATI ,   Faculty of Plantation and Agrotechnology, Universiti Teknologi MARA, 26400 Bandar Jengka, Pahang, Malaysia
Published: February 2024

Planting in polybags is a common solution to the issue of limited land for agricultural activity in urban areas. The proper use of planting medium and amendment with beneficial organic compounds such as biochar and compost could provide high yield in return. The present study aimed to evaluate the effects of biochar and compost application in the medium for corn grown in polybags. Five treatments comprised of T0 (soil) as control, T1 (soil and compost at ratio 1:1), T2 (soil and biochar at ratio 1:1), T3 (soil, compost, and biochar at ratio 1:1:0.5), and T4 (soil, compost, and biochar at ratio 1:2:2) were prepared. The experiment was arranged in a randomized complete block design (RCBD) with four replications. The results indicated that the highest corn performance was recorded in T2. The mean values were significantly different in some growth parameters such as stem diameter (2.82 cm), fruit weight (307.25 cm), fruit diameter (5.71 cm), and plant fresh weight (324.00 g) as compared to control and other treatments. The results also found that biochar is more efficient for corn grown in polybags than compost. However, soil amended with a high amount of biochar and compost has reduced corn growth. The study provides beneficial information and contributions to the existing literature on the optimization of suitable medium for promoting corn growth in polybags. Using biochar and compost can reduce dependency on extensively used inorganic fertilizer, which is harmful to the environment.
PERANCANGAN FILM DOKUMENTER KERIS KERATON SURAKARTA SEBAGAI UPAYA PELESTARIAN WARISAN LELUHUR BUDAYA BANGSA
Authors: Firmansyah Andre , Tumimomor Anthony Y.M.
Published: February 2024

Keris merupakan salah satu warisan budaya Indonesia yang perlu dilestarikan, dan dikenalkan untuk generasi sekarang. Berdasarkan hasil penelusuran yang dilakukan, ditemukan data bahwa masih adanya masyarakat Surakarta yang beranggapan bahwa keris hanya digunakan sebagai pajangan atau jimat yang masih disangkut-pautkan dengan hal-hal yang berkaitan mistis.  Selain itu kurangnya kesadaran masyarakat akan pengetahuan tentang keris dan adanya perbedaan antara keris dalam keraton dan luar keraton Surakarta masih sangat minim di masyarakat. Sehingga perlu adanya media informasi yang mampu memperkenalkan dan memberikan informasi mengenai keris Keraton dan perbedaan keris ini dengan keris luar Keraton melalui media audio visual, salah satunya adalah film dokumenter. Penelitian ini menerapkan metode kualitatif dan strategi linier dalam proses perancangan film dokumenter, sehingga diharapkan mampu menghasilkan media informasi audio visual yang dapat memberikan pengenalan secara detail dan aktual mengenai detail keris dalam keraton dan perbedaanya dengan keris luar keraton kepada masyarakat Surakarta secara khusus dan masyarakat Indonesia secara umum.
PERANCANGAN DAN IMPLEMENTASI ENCODER DAN DECODER CRC-16 BERBASIS TABEL LOOKUP PADA ARDUINO
Authors: Pantow Prayogo Pangestu , Wellem Theophilus
Published: February 2024

Deteksi kesalahan pada data yang dikirimkan melalui saluran komunikasi sangat penting untuk mendapatkan data yang akurat dan sistem komunikasi yang handal. Salah satu kode yang populer dan banyak digunakan sebagai kode pendeteksi kesalahan adalah Cyclic Redundancy Check (CRC). Penelitian ini bertujuan untuk merancang dan mengimplementasikan encoder dan decoder CRC-16 dengan polinomial 0x8005 pada platform Arduino IoT. Penghitungan nilai CRC-16 dilakukan menggunakan algoritma yang memanfaatkan tabel pencarian. Algoritma berbasis tabel pencarian dipilih karena kecepatannya dalam menghitung nilai CRC dari data masukan. Hasil implementasi encoder dan decoder kemudian diuji menggunakan dua board Arduino yang mengirimkan data secara serial. Hasil penelitian menunjukkan bahwa decoder pada sisi penerima dapat mendeteksi kesalahan pada data yang dikirimkan, dan encoder pada sisi pengirim dapat menghitung nilai CRC dari data masukan dengan benar sesuai spesifikasi kode CRC-16. Waktu yang dibutuhkan encoder untuk menghitung nilai CRC-16 dari data input dengan panjang yang bervariasi menunjukkan bahwa data input dengan panjang 2 karakter (16 bit) dan 128 karakter (1024 bit) masing-masing membutuhkan waktu 0,016 milidetik dan 0,72 milidetik.
The loyalty imperative: Understanding the link between organizational culture and employee commitment
Authors: Wijonarko Gugus , Muksin Nani Nurani , Rajiani Ismi
Published: February 2024

Organizational commitment (EOC) and employee loyalty are two critical constructs that contribute to organizational success. Understanding the intricate relationship between these factors is essential for organizations seeking to cultivate a loyal and committed workforce. This study delves into the mediating effect of EOC on employee loyalty, examining the mechanisms through which organizational culture fosters a loyal workforce. To investigate the mediating role of EOC, a sample of 300 employees from the Indonesian Port Corporation was surveyed. Path analysis, a statistical technique that assesses the strength and direction of relationships between multiple variables, was employed to test the study’s hypothesis. The findings revealed a strong association between organizational culture, EOC, and employee loyalty. Organizational culture dimensions, particularly teamwork, respect for individuals, stability, attention to detail, and outcome orientation, were positively related to EOC and employee loyalty. Furthermore, EOC was found to mediate the relationship between organizational culture and employee loyalty, indicating that EOC plays a crucial role in shaping employee loyalty within a supportive organizational culture context. These findings underscore the importance of fostering EOC to enhance employee loyalty and organizational success. Organizations seeking to cultivate a loyal workforce should create a supportive organizational culture that promotes teamwork, respect for individuals, stability, attention to detail, and outcome orientation. By nurturing these cultural traits, organizations can foster a strong sense of EOC among their employees, increasing employee loyalty, productivity, and organizational growth.
Isolation and characterization of new bacterial 1 strains degrading low-density polyethylene
Authors: Szczyrba Elżbieta , Pokynbroda Tetiana , Koretska Nataliia , Gąszczak Agnieszka
Published: February 2024

Plastics have become indispensable in everyday life due to their properties. For this reason, the accumulation of polymer waste in the natural environment is becoming a serious global problem. The aim of the research was to isolate microorganisms capable of biodegrading plastics. The studies focused on the biodegradation of low-density polyethylene as the most common polymer. Seven and five bacterial strains were isolated from the landfill and compost, respectively. The morphological and biochemical characteristics of the isolates were determined. These isolates were able to survive in an environment where the only carbon source was LDPE, but no increase in biomass was obtained. However, analysis of the spectra obtained by the ATR-FTIR method showed the formation of chemical changes on the polymer surface. Bacterial biofilm formation was visualized by scanning electron microscopy. The toxicity of plastic biodegradation products in a liquid environment was tested and their safety for plants was confirmed. However, these biodegradation products have acute lethal toxicity for the Daphnia magna. LDPE films were pre-treated with H 2O 2, HNO 3, or heat. The biodegradation of HNO 3-treated LDPE by isolated bacteria was the most significant. The weight loss was approximately 8%, and 6%, for landfill and compost-isolated bacterial strains, respectively.
Літературна рефлексія війни: від афективної до раціональної
Authors: Pukhonska Oksana
Published: February 2024

The author of the article analyzes the first literary attempts to reflect the experience of Russia’s full‑scale war against Ukraine. The main attention is paid to the problem of the traumatic experience of the war, based on the first feelings of shock and its consequences. The researcher considers three books (anthologies of poems, essays and diaries Poetry without Shelter, The War‑2022 and Oksana Zabuzhko’s essay A Long Journey), which were published during the first year of the war. These are dissimilar books, but they represent one problem from different points of view. The texts are those of contemporary Ukrainian authors who survived the traumatic experience of the Russian invasion in February 2022 in different places and under different circumstances. The author of the article interprets these works as a cultural tool in the process of mastering the state of shock, and later – as a mechanism for the verbal representation of the trauma itself.
Номінація хліба в українських центральноподільських говірках: етнолінгвістичний контекст
Authors: Horofianiuk Inna
Published: February 2024

The article considers the names of bread, fixed in 35 settlements of Vinnytsia and Khmelnytsky regions of Ukraine – the Central Podolia dialects. Information of a nominative and ethnolinguistic character about the traditional terminology of bread from Podolia has been introduced into the information space. Most fixed names of bread have an open internal form, they have been classified according to the principle of nomination, in particular: 1) nomination by the appearance of bread; 2) nomination by the function of bread; 3) nomination by holiday affiliation; 4) nomination by the way of baking bread. The dialect text material is rich in beliefs and superstitions related to baking, consumption and the use of bread in family, calendar rituals of the Podolians. The sacralization and symbolization of bread reflects the ancient mythological ideas of the Podolians, more broadly – all Ukrainians, which unites us with the Slavic world, and therefore can subsequently become a reliable source for a deeper study of Ukrainian‑Slavic linguistic, ethnolinguistic, ethnocultural ties.
The Modern Construction of Spatial Narrative and Artistic Aesthetic Value of Han Portraits in the Internet Era
Authors: Huang Jie
Published: February 2024

In this paper, firstly, the index system for evaluating the value of spatial narrative and artistic aesthetics of Han portraits is determined, the judgment matrix is constructed by using the AHP method, and the relative weight coefficients of the indexes are calculated. Then the two-by-two judgment matrix of the indicators is given, the sum-product method is used to solve the judgment matrix, and the relative fuzzy affiliation degree of each evaluation indicator is solved by establishing the fuzzy evaluation subset and the fuzzy evaluation rubric set, and then combined with the weight value, a comprehensive calculation is carried out to solve the problem, to seek to take the spatial narrative of the Han portraits as well as the artistic and aesthetic educational value of the embodied level. On this basis, the spatial narrative of Han portraits is divided into evaluation levels, and the artistic aesthetic perception and aesthetic education function scores of the three Han portrait exhibition sites, H1, H2, and H3, are compared horizontally. The results show that the evaluation levels of external conditions, narrative means, narrative content, and narrative soft environment indicators of spatial narrative are 83.9, 69.9, 79.9, and 78.4 respectively, all of which are more than 70. The aesthetic perception levels of the three Han portrait exhibition sites of H1, H2, and H3 in Q are between (50, 90), and the levels of aesthetic and educational function indicators are between (85, 92). This study creates conditions for the better development of Han portraits, and to a certain extent, it also provides a reference for the development of spatial narrative and artistic aesthetic education of other similar Han portraits.
Research on the Sustainable Development and Operation Mechanism Construction of Civic Education Management Path in Colleges and Universities in the Context of Digital Intelligence
Authors: Guo Chao
Published: February 2024

This paper proposes a split hierarchical cluster analysis algorithm to study the management of political education in colleges and universities. The data mining object of a university is selected, and the initial data for the study of ideological and political education and management is obtained by issuing the questionnaire of “quantitative assessment form for counselors”, and the data is optimized by clustering the data with dissimilarity matrices. Based on completing the pre-processing of the research data, the combination of statistical analysis and simulation analysis is used to analyze the example of the management of college civic education in the context of digital intelligence. The results show that when K is equal to 2, both clusters have similar thickness and size, so it is more appropriate to select K=2 to cluster analysis of each crisis group of ideological and political education management, indicating that the split-level cluster analysis algorithm helps to promote the interconnection of the ideological and political education management work. This study can improve the level and overall quality of college students’ ideological and political education in an all-round way, create a high-level management mode of ideological and political education and promote the sustainable development of ideological and political education in colleges and universities.
Cultivation of Core Literacy of Physical Education Professionals in Private Colleges and Universities Based on the Background of Data Mining
Authors: Feng Junwei
Published: February 2024

The purpose of this paper is to analyze the main types of core literacy of sports professionals in colleges and universities using association rules and the XGBoost algorithm. Combined with the confidence rule in association analysis, it finds out the minimum support degree of all the core qualities that satisfy the core qualities of sports professionals in colleges and universities. The efficiency of modeling talent demand can be improved by using the Apriori algorithm. Adding new regression trees sequentially based on the original model using the XGBoost algorithm. The college sports talent demand model was constructed by combining association rules and the XGBoost algorithm. Based on the results, composite talents, professional talents, and application talents are the main types of sports professional talent cultivation positioning. The cultivation ratio of sports composite talents in University A is 0.7, and the cultivation ratio of application composite talents is 0.6. The school’s requirements for sports talent’s ability are the highest, resulting in a cultivation ratio of 0.75 for sports talent. This study promotes, to a certain extent, the cultivation of sports professionals in colleges and universities.
Differential diagnostic value of benign and malignant solid lung nodules based on deep learning
Authors: Wu Xiaoyu , Tang Hua
Published: February 2024

There are numerous imaging methods for clinical screening and diagnosis of solid lung nodules, but they all have certain limitations. This paper selected patients with lung nodules in the People’s Hospital of Province X as an example. C.T. scans were performed on the patients with lung nodules to obtain their imaging histologic features. Then, based on the generative adversarial network in deep learning and using self-supervised learning to optimize the generative negative discriminator, a semi-supervised GAN model was established for the identification and predictive diagnosis of benign and malignant solid lung nodules. A regression analysis model was constructed and data analysis was performed to identify the independent risk factors related to the malignancy of solid lung nodules. The results showed that the patient’s tumor diameter became the most significant independent risk factor for the benign-malignant nature of lung nodules, with an OR of 3.421, which showed a significant difference at the 1% level. The I.C.C. value of each feature of solid lung nodules was more critical than 0.85 in the impactomics feature screening, and the A.U.C. value of benign and malignant prediction diagnosis of solid lung nodules using semi-supervised GAN model reached 0.98. Combining CT impactomics with deep learning can improve the differential prediction of benign and malignant diagnosis of solid lung nodules, which can provide high value for the clinical workers to treat solid lung nodules. The combination of C.T. impactomics and deep learning can improve the differential diagnosis of benign and malignant solid lung nodules and provide high value for clinical workers to treat solid lung nodules.
A Review of Object Detection in Traffic Scenes Based on Deep Learning
Authors: Zhao Ruixin , Tang SaiHong , Supeni Eris Elianddy Bin , Rahim Sharafiz Bin Abdul , Fan Luxin
Published: February 2024

At the current stage, the rapid Development of autonomous driving has made object detection in traffic scenarios a vital research task. Object detection is the most critical and challenging task in computer vision. Deep learning, with its powerful feature extraction capabilities, has found widespread applications in safety, military, and medical fields, and in recent years has expanded into the field of transportation, achieving significant breakthroughs. This survey is based on the theory of deep learning. It systematically summarizes the Development and current research status of object detection algorithms, and compare the characteristics, advantages and disadvantages of the two types of algorithms. With a focus on traffic signs, vehicle detection, and pedestrian detection, it summarizes the applications and research status of object detection in traffic scenarios, highlighting the strengths, limitations, and applicable scenarios of various methods. It introduces techniques for optimizing object detection algorithms, summarizes commonly used object detection datasets and traffic scene datasets, along with evaluation criteria, and performs comparative analysis of the performance of deep learning algorithms. Finally, it concludes the development trends of object detection algorithms in traffic scenarios, providing research directions for intelligent transportation and autonomous driving.
Exploring the Digital Transformation Path of Small and Medium-sized Enterprises under the fsQCA Approach for Sustainable Competitive Advantage
Authors: Lu Huie
Published: February 2024

This paper combines the DEA-Malmquist index model and the fsQCA method, and applies them together in studying the exploration of digital transformation paths of small and medium-sized enterprises. First, the data of a traditional company from 2018 to 2022 is selected as the initial research sample, and the data of the sample enterprise is organized. Then, according to the data type of each condition and result, the data were converted into affiliation scores by applying the direct calibration method. The calibrated data were entered into the fsQCA 3.0 software for the necessary conditions test, and the sufficiency antecedent group state analysis was performed for high-level digital transformation. Finally, the performance of enterprises after digital transformation was analyzed in terms of 2 aspects: profitability and operational capacity. The results show that there are 4 paths of high-level digital transformation for SMEs: aspiring firm-led, aspiring government-led, aspiring firm-against-against-against-government synergistic and aspiring firm-against-efficient-market synergistic. The operating margin of transformed enterprises is significantly higher than that of non-transformed and the industry average, with a minimum value of 6.51% in 2021, which is much higher than that of non-transformed. The operating cycle of pre-transformation firms stays at 100-240 days in 2018-2022, which is significantly higher than the level of 80-100 days in the post-transformation period.
Development Status and Strategy Analysis of Medical Big Models
Authors: Zhang Guozheng , Liu Jinxin , Mu Jian
Published: February 2024

It is imperative to embark on a significant model-driven technology route for the intelligent development of the medical industry. This paper constructs a medical big model through three aspects: medical drug recommendation, medical data sampling, and medical image segmentation. The link between symptoms and drugs is established through the PALAS algorithm, the unbalanced numerical dataset is solved by using the oversampling SMOTE method, and the source domain of medical images is labeled by the MCDIFL method to adapt to the unsupervised domain in medical image segmentation. Finally, the development trend of medical macromodeling is discussed, and the data of diabetic patients admitted to Hospital X is used as a study case to specifically explore the effect of medical macromodeling in healthcare. The results show that the data of diabetic patient A was inputted into the medical extensive model analysis to obtain that the average values of patient A’s blood glucose value in the first three years were 7.13, 9.34, and 7.06 mmol/L, respectively, which experienced the evolution from mild to high and then to soft. The results can help medical personnel to make a scientific treatment plan for the patient. This study promotes the innovative application and development of artificial intelligence technology in medical services.
An innovative model of digitally empowered teaching of ideological and political courses for university students
Authors: Yang Han
Published: February 2024

In this paper, a large amount of data related to the teaching of ideological and political courses is collected using information technology and preprocessed in the four dimensions of data cleaning, missing value processing, sample labeling, and expert sample data. Aiming at the problem of underfitting of traditional neural network algorithm in the evaluation of digital teaching effect of ideological and political courses, the RBF neural network is improved and optimized by combining radial basis function and radial basis interpolation, and a teaching evaluation model based on the enhanced RBF network is constructed. The combination of statistical and simulation analysis is used to analyze the learning behavior of digitally empowered ideological and political courses. The results show that among the five types of teaching activities, participation in after-class discussion (-1.6443) performs better compared to the other four types of teaching activities (-1.7541, -1.6815, 1.7331, -1.8265), indicating that the neural network algorithm based on the Improved RBF accurately reflects the learning behavior of the group in the teaching of Digital Empowerment Ideology and Politics Course. This study realizes the scientific, modern and intelligent development of digitally empowered ideological and political course teaching. It promotes digital ideological and political course teaching to be more and more scientific and philosophical.
Analysis of Hot Topics and Evolution of Research in World-class Agricultural Universities Based on BERTopic
Authors: Lu Changyun , Zhu Longjiao , Xie Yushi , Xu Wentao , Zhao Yong , Cao Yuan
Published: February 2024

In this paper, the cited papers and cited patents of world-class agriculture-related universities are taken as the research objects, and the preprocessing process of the research hotspot text of agriculture-related universities is accomplished by combining the participle processing method and the TF-IDF method. To make up for the shortcomings of the semantic level of the LDA model, BERTopic is utilized to obtain the document-topic distribution probability and the topic-topic word distribution probability, and the topic hotness of different topics is calculated. Then the Glove method is used to extract the word vector features of the topic words, normalize them, calculate the word vectors by taking the distribution probability values as the weighted weights, solve the topic vectors, and then calculate the similarity of the hot topics in different time windows by the cosine similarity to explore the hot topics and the evolution of the world’s first-class agriculture-related colleges and universities research.
Experimental study of CD4-CART cells for the treatment of CD4-positive T-cell malignant hematologic diseases
Authors: Zang Pengyang
Published: February 2024

In the therapeutic field of T-cell lymphoma/leukemia, long-term efficacy has not yet reached a satisfactory level, especially for relapsed refractory T-cell hematological disorders. In this study, we experimentally explored the therapeutic potential of chimeric antigen-modified T cells targeting CD4 (CD4-CART). Specific CD4-CART-T cells were constructed and evaluated in vitro and in vivo against CD4+ T-cell malignant hematologic diseases using lentiviral vectors. The cytokine responses during CD4+-CART cell therapy were preliminarily analyzed. The study results showed that the incidence of adverse events associated with CAR-T cell therapy was 73.43%, and the incidence of > grade 2 CRS was 34.36%. All 20 patients achieved a 100% CR rate with guaranteed dose control, and none experienced grade 3 or higher CRS or severe neurotoxicity. This finding validates the effectiveness of novel therapeutic strategies such as CAR-T in combating T-cell malignant hematologic diseases and provides an experimental basis for future treatment.
Emotional Computing Technology Applications in Information Systems Security and Their Risk Prevention
Authors: Huang Gaofeng , Xu Xiangjun
Published: February 2024

This paper applies the emotion extraction method based on emotion lexicon to the group emotion analysis of the information system, combines the vector space model to process the text emotion in the information system, expresses the emotion in the form of vectors, and divides the different types of emotion according to the distance between the emotion vectors for identification. The five-level index system in fuzzy mathematics is chosen to measure the value of emotional intensity, and by analyzing the emotional state of the group in the information leakage incident, a decision in line with the user’s emotion is made based on the emotion of the information system security. Accordingly, the security defense index of the information system is improved according to the information security risk index. The results show that in identifying the emotions of the information system security events, the group’s emotions are mainly biased towards the negative. The proportion of negative emotions is the largest of 98%, which indicates that attention should be paid to the confidentiality of the user group’s information in the security of the information system. The maximum security event risk value in the evaluation in the information system is in the T8 period, with a value of 0.819, indicating that the security defense of the information system should be strengthened in the T8 period.
A Research on the Role of P.E. in Cultivating College Students from the Perspective of Integration of Academic Learning and Physical Exercising
Authors: Zhang Min
Published: February 2024

This paper discusses the importance of integrating sports and education in colleges and its role in the overall development of students. The study first constructs a basic framework for sports education in colleges and universities, and then analyzes in depth the positive effects of the integration of sports and education on students’ character, temperament, as well as sports morality and will quality by setting up a regression analysis model and using statistical test methods. The study’s results showed that the integration of sport and education not only significantly enhanced students’ sports morality and will quality, but also significantly positively affected character and temperament building. This finding emphasizes the importance of strengthening the position of the physical education discipline in higher education to promote the holistic development of students. The results showed that the integration of physical education had a positive effect on character and temperament, Sig=0.000<0.01. And the integration of physical education and teaching significantly affected students’ sports morality and volitional qualities, p<0.05. The present study is conducive to enhancing the importance of school physical education in the education system and promoting students’ all-round development.
Construction and Application of Random Forest (RF)-Based Early Childhood Development Assessment Models
Authors: Li Shengwei , Li Guiyun , Lu Xiaomeng
Published: February 2024

Early childhood development (ECD) is an essential foundation for children’s future development and a building block and driving force for society’s future development. Traditional evaluation models of early childhood development focus on children’s comprehensive evaluation, ignoring the importance of each evaluation data. In addition, the previous evaluation model mainly relies on the expert’s experience, which is highly dependent and has a strengthened subjectivity. Therefore, this paper combines the random forest algorithm to construct an early childhood development evaluation model and builds a multilayer evaluation index system. Test experiments show that the evaluation results obtained after the model’s training have a lower error than the traditional evaluation model, and the results are closer to the expected results. Application experiments show that the model can effectively present the evaluation results of children’s abilities and intuitively present comprehensive evaluation results, so that parents and teachers can view the corresponding evaluation data according to the needs of children’s development. At the same time, the evaluation results are consistent with the actual development of children, which can provide parents and teachers with effective and reliable evaluation data to improve children’s development program.
How Family Wealth Affects Fertility Intentions: the Roles of Social Media Exposure and Subjective Class Identification
Authors: Xia Qing , Yao Shun
Published: February 2024

Demographic dividend is an important driving force for sustainable economic development in developing countries. In recent years, the Chinese government has introduced a series of policies to encourage fertility, but the fertility rate still continues to decrease, which is likely to have a negative impact on China’s economic development. This study proposes a influencing mechanism model of the fertility intentions of the Chinese population from the perspectives of political economics and social psychology, and validates the model through a national sample survey. It is found that family wealth indirectly and positively affects fertility intentions through Chinese people’s subjective class identification; and social media exposure negatively moderates the relationship between family wealth and subjective class identification. This mechanism provides a theoretical explanation for the current special changes in fertility intentions to a certain extent, and also provides a practical basis for policy makers and media regulators to take measures to stimulate Chinese people’s fertility intentions.
Decorative Arts for International Cultural Exchange in the Information Age: Implications for Global Art Education and Identity Formation
Authors: Wang Xueyan
Published: February 2024

Using the “One Belt, One Road” initiative, the study constructs a model of decorative arts to promote international cultural exchanges, and analyzes its role in promoting the principles of harmony, tolerance and mutual benefit. Using principal component analysis and PLS-SEM model, the study focuses on the specific impact of decorative arts in four aspects: international cultural exchange concept, resource conditions, organizational structure and international cultural education. The study results show that decorative arts significantly promote the idea of international cultural exchange, optimize resource conditions, build an effective organizational structure and advance international cultural education. Specific data show that the impact coefficient of decorative arts in promoting the concept of international cultural exchange on global art education and identity shaping is 0.726, the impact coefficient of resource guarantee is 0.714, the impact coefficient of social organization is 0.788, and the indirect impact coefficient of international cultural education is 0.685.This indicates that decorative arts have an essential position in international cultural exchange and have a global art education and identity shaping has a significant favorable influence. The study highlights the critical role of decorative arts in the era of globalization, provides new perspectives for a deeper understanding of their role in international cultural exchange, and offers essential references for developing strategies to promote global arts education and identity shaping.
Research on Optimization of University English Practice Teaching Mode Based on Graph Structure in Online Learning Environment
Authors: Wang Linyan , Zhang Xinyu
Published: February 2024

This study investigates effective integration of node and edge features through N-way K-shot problem definition and iterative updating of graph structure information. The flexibility and effectiveness of the model are enhanced by using the gate function of the adaptive layer to control the degree of neighborhood aggregation and optimize the edge features through the double stochastic normalization technique. The introduction of the LGACN model strengthens the clustering performance through the Attention Network, and improves the adaptability and accuracy of the teaching model. The empirical Analysis shows that compared with the traditional method, the model has outstanding performance in enhancing students’ knowledge understanding, skill application and vocational quality, especially the student satisfaction in practical teaching effect and student-student mutual evaluation is significantly improved. Among the 256 students in the experimental class, the comprehensive satisfaction score increased from 68.15-80.21 to 80.21-89.89, significantly improving teaching effectiveness. By deeply optimizing the practical teaching mode of college English, this study provides new perspectives and effective strategies for language teaching in online learning environments, which helps to improve teaching effectiveness and student satisfaction.
The way of using digital media based on artificial intelligence technology and the path of creation
Authors: Lu Shan , Ma Shiming
Published: February 2024

This paper explores new approaches to the application and creation of digital media in the context of the rapid development of artificial intelligence technology, with a particular focus on virtual reality interaction. The study utilizes the spatial distance of the enclosing spheres in the hybrid hierarchical enclosing box and the characteristic of non-intersection between the enclosing boxes for collision detection, and the collision information returned by the rays is analyzed in depth. Meanwhile, the intersection test method is used to improve the efficiency of collision detection. And a subjective evaluation of 10 users’ experience in virtual reality art interaction was conducted. The results showed that the system was highly rated in accuracy (average score of 8.39), but rated lower in simplicity (average score of 4.28). There was a positive relationship between the user’s eye gaze duration and the number of interruptions and misoperations in art interactions. At an eye gaze duration of 0.2 seconds, half of the users did not experience interaction interruptions; when the gaze duration increased to 1.2 seconds, all users had no interruptions. This paper provides a practical reference case for using AI technology in digital media applications and creation, especially in enhancing the accuracy and efficiency of virtual reality interactions.
Artificial Intelligence Technology Empowers Communication and Dissemination of New Media Arts
Authors: Chen Huan
Published: February 2024

The study adopts digital ground model (DTM) and digital elevation model (DEM) to construct the virtual spatial environment, and combines extensive texture mapping and small texture mapping techniques to optimize the texture display on the surface of the 3D model. The coordinate system transformation of computer graphics further enhances the fidelity of the virtual environment. In addition, this study analyzes the information diffusion pattern in the network and real space based on the information space model. The empirical analysis shows that the spread of new media art in the virtual communication space has been significantly enhanced, especially in expressing individual and collective emotions, contemporary media art has obvious advantages compared with traditional art. The information dissemination analysis confirms the accuracy of the information diffusion model in predicting the communication trend of contemporary media art, and the negative sentiment index of modern media art is lower than that of traditional art between 2016 and 2023, showing a more positive emotional communication pattern. This study shows that artificial intelligence technology can effectively promote the communication and dissemination of new media art. Through the construction of virtual space and the application of information diffusion model, contemporary media art is not only improved in communication efficiency and dynamics.
Research on Effective Methods to Enhance the Quality of Ideological and Political Education in Colleges and Universities under the Perspective of Internet Plus
Authors: Qiao Xinjie
Published: February 2024

More current research focuses mainly on the construction and innovation of the mechanism of Civic and Political education, and there are few studies related to improving the quality of Civic and Political education from the perspective of student behavioral data. In this paper, we use the data mining structure to deeply mine the students’ civic and political behavior, give the improved K-means and plain Bayesian algorithms based on principal component analysis, and design a data warehouse by applying the campus card data for college students. The data on students’ ideological and political behaviors were mined from three aspects of consumption, study, and life. A perception model of students’ mental health status was established by combining the data of students’ ideological and political behaviors in the campus one-card system with the plain Bayesian algorithm to analyze the students’ mental health status in depth. The results show that the peak monthly consumption of students in the second category of student consumption behavior reaches 893.4 yuan, and the proportion of students in the second category of life behavior reaches 62.13%. In the results of mental health state perception, 32.67% of students have the potential risk of suicide, and more than 50% of students have different degrees of depression. Ideological and political education in colleges and universities need to focus on developing students’ mental health and carry out diversified educational activities to improve the quality of ideological and political education in colleges and universities.
Analysis of the institutional mechanism of school-site cooperation facilitated by artificial intelligence technology in the context of industry-education integration
Authors: Li Hui
Published: February 2024

School-local cooperation is an inevitable choice for higher vocational education, and the construction of school-local cooperation institutions and mechanisms has become the key to the deep integration of school-local, mutual benefit and win-win, long-term stability. Based on the evolutionary game theory under artificial intelligence technology, this paper establishes a tripartite game interaction model of government-enterprise-university, makes relevant research assumptions for the triple game interaction model, solves the threefold benefit function, and constructs a tripartite payment matrix of game interaction based on the research assumptions. Based on the three-party game payment matrix, the stability of the three-party evolutionary game model is studied by replicating the dynamic equations. To obtain the specific strategy of the institutional mechanism of school-local cooperation, the stability of the evolutionary game model was analyzed by numerical simulation and simulation using MATLAB software. The results show that: when the model parameters satisfy the stability condition H(1,1,1), the university and enterprise can reach stability after 0.4 and 0.2 unit time of evolution respectively, and the tripartite evolutionary stability can be realized when the participation costs of local government, enterprise and university are all 80, which promotes the choice of school-local cooperation strategy and enhances the quality of talent cultivation in higher vocational education.
Analysis on the Construction and Realization of Cultivation Mechanism of Young Marxists in Colleges and Universities in the Internet Era
Authors: Gao Yan
Published: February 2024

Based on the design of functional orientation, the training mechanism of young Marxists was innovated by combining network characteristics. Forty experts from enterprises, colleges, and universities were selected, and the Delphi method was applied to finalize the evaluation index system of the Marxist cultivation mechanism. Based on the evaluation index system, the Marxist cultivation mechanism’s evaluation model was constructed using principal component analysis. The results show that the weight coefficient of the effect index Q16 of the Marxist cultivation mechanism is 0.32415, and the weight coefficient of the innovation index Q8 of the Marxist cultivation mechanism is 0.20381. The extracted principal components can effectively explain the key factors of the cultivation mechanism. This study advances the new development of the Marxist cultivation mechanism in terms of epochal, scientific, and systematic, which is of great significance to the development of Marxist education in colleges and universities.