bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study of the Impact of Combining Digital Marketing and Virtual Reality Technology on the Online Shopping Experience
Authors: Lin Shengxuan , Guo Xin 
Published: August 2024

Abstract
Virtual reality technology has brought a new round of information technology revolution for marketing due to its dual potential in marketing efficiency and experience. After combing the applications of the combination of digital marketing and virtual reality technology, this paper takes a store’s VR marketing campaign as an example, selects the relevant evaluation indexes, and, after assigning values to the indexes’ weights, applies the gray fuzzy comprehensive evaluation method to assess the integration effect of digital marketing and virtual reality technology in the sample VR marketing campaign. Afterward, the theoretical model and research hypotheses regarding VR digital marketing’s influence on online purchase experience are proposed, and structural equation modeling is employed to validate the correlation. The results indicate that the integration effect of VR marketing campaigns in the sample stores is above average (75.93 points). The combination of digital marketing and virtual reality technology positively stimulates users’ demand motivation and experience perception (P<0.001), which in turn positively affects users’ satisfaction level and the online shopping experience as a whole of demand motivation, experience perception, and satisfaction level collectively affects users’ post-participation behavior. The combination of digital marketing and virtual reality technology can enhance users’ purchasing experience and further improve publicity conversion and brand impact.
Multi-dimensional analysis of financial accounting information and construction of decision support systems
Authors: Huang Nuoyu 
Published: August 2024

Abstract
Financial information is the core information of modern enterprises, which is of great significance to the sustainable development of enterprises. Based on the cost variance accounting model, the comprehensive budget management model, and the financial crisis early warning model, the financial information decision support system was constructed. Company S was selected for case analysis, and three modules in the decision-making system were used to analyze the company’s operating costs, overall budget management, and financial situation. Among the seven work centers of Company S, the consumption costs of the semi-finished product center and the procurement center account for the highest proportion, reaching more than 50% of the total manufacturing cost. Acquisition operations, raw material processing operations, semi-finished product operations, packaging operations, and quality inspection operations are some of the value-added operations of The Company. The operation efficiency of the procurement center, quality inspection center, maintenance center, and storage center is not high. Raw material processing centers, semi-finished product centers, and packaging centers are highly efficient. In 2022, the net profit of Company S will be -1.7592 million yuan, and the total profit will be -2.7418 million yuan. Management and selling expenses are exceeding the budget. The probability of financial risk was 82.35% and 88.46%, respectively. The company is facing serious financial risks due to its declining corporate sales, solvency, difficult capital turnover, and severe financial risks.
Dynamic Analysis and Forecasting of Employment Market Trends of College Graduates under Big Data Environment
Authors: Li Mu , Xie Zhiyong 
Published: August 2024

Abstract
Predictive analysis of the job market before the employment of college graduates provides a direction to improve the quality of college students’ employment and better articulates the enrollment, training, and employment of colleges and universities. This paper utilizes the missing value filling algorithm and the ADASYN algorithm to preprocess the collected data related to the job market and graduates. Based on the HMIGW algorithm, a data feature selection method is proposed, and the feature collection is obtained after the feature selection process of each data series. Then, the XGBoost algorithm is used to predict and analyze the employment market trend. It was found that the accuracy of the model in analyzing and predicting the dynamics of employment market trends among college graduates reached 97.105% on average. After predicting the employment trend of graduates of a certain major in college S, it is found that the proportion of graduates who enter the Internet industry to work between 2020 and 2030 is relatively high, and the overall employment change trend of the agriculture and forestry job market is large. This paper can provide college graduates with a reference for choosing a career, and the predicted employment market trend can provide support for the development of employment guidance in colleges and universities. In future research, we can consider expanding the scope of the study and optimizing the prediction model.
Research on Intelligent Inspection Method of Prestressed Bridge Engineering Based on Machine Learning
Authors: Liang Peng , Zhang Liming , Zhuo Xiaoli , Mao Jing 
Published: August 2024

Abstract
As an important engineering structure for national and regional transportation infrastructure construction, bridges have important economic, social, and strategic significance. The research centers on the intelligent detection of prestressed bridge engineering, on the one hand, combined with the finite element analysis of the prestressed beam modal in the obtained area, based on LS-SVM to construct the intelligent detection method of effective prestressing of bridge engineering. On the other hand, the ResNet neural network is selected for feature extraction of bridge characteristic parameters, and LSTM is combined to complete the fusion of bridge spatiotemporal features to construct an intelligent detection model of bridge technical condition based on the ResNet-LSTM joint network. The detection performance of the two methods is evaluated through simulation and experimental tests on the dataset. The analysis shows that the maximum error for effective prestress detection of the LS-SVM model is 15.584%, which is 6.121% lower than that of the BP neural network model. The technical condition detection error of less than 0.1 is basically greater than 90% in both discontinuous and continuous time-span detection. It has been verified that the LS-SVM model has a better identification effect on effective prestressing, while the ResNet-LSTM model has a high accuracy prediction effect on the technical condition of the bridge.
Research on Pedestrian Re-identification Techniques in Dynamic Scenes Using Convolutional Neural Networks
Authors: Liu Manjun 
Published: August 2024

Abstract
Pedestrian re-recognition is the process of retrieving pedestrians with the same identity information as a given pedestrian from a cross-domain view candidate image dataset or a non-overlapping surveillance video sequence using computer vision techniques. The goal of this paper is to use convolutional neural network techniques to re-recognize pedestrians in dynamic scenes. Through the use of convolutional calculations, activation function selection, and other techniques, this paper provides basic technical support for the research of pedestrian re-recognition technology. A Siamese network is obtained by applying convolutional neural networks to pedestrian recognition as the main discriminative model for subsequent research. In order to effectively solve the problem of occlusion, illumination, and other possible interference with the recognition effect in dynamic scenes, this paper adopts the image enhancement method of random erasure and introduces the attention mechanism to improve the robustness of the model to the occlusion of pedestrian images. Through the examination of the model on the dataset of the average accuracy mean (MAP) and other indicators and the actual application in the construction site and other scenes, it is proved that the pedestrian re-recognition model used in this paper has a more significant recognition performance compared with other models, and can still maintain more than 80% of the accuracy rate under the application of dynamic and complex scenes.
Construction of Cloud Computing Resource Allocation and Ideological and Political Education Platform Based on the Theme of Party History and Party Building
Authors: Liu Zhicai , Liu Ningning 
Published: August 2024

Abstract
Party history and party-building education is an important carrier of party-building work in colleges and universities, and it is also an important content of cultivating and promoting socialist core values while party-building work is an effective way and the main hand of ideological and political work of students in colleges and universities. This paper takes the large amount of data generated in the process of ideological and political education resource allocation on the theme of party history and party building as the research object and builds a mapping relationship between tasks and ideological and political education resources according to certain strategies based on cloud computing resource allocation. A platform for allocating resources for ideological and political education has been designed and developed, which is based on a time series clustering algorithm and constructs resource overviews, sequence collections, and clustering modules. The functions of student behavior data collection and overview, feature calculation and selection, behavior time series clustering, and group feature analysis are realized, which enhances the efficiency of the ideological and political education resource platform. Functional and performance tests of the platform were completed, and the average system response times of the three modules were 75.05, 80.39, and 69.95ms, which were able to meet the actual application standards. With the help of the platform, the behavioral record data of 6,927 platform users were evaluated and practiced, and the user group classification and group characterization were carried out according to the output of the platform, which provided scientific suggestions for the distribution of ideological and political teaching resource services.
Milrinone in pediatric heart failure
Authors: Aleksandrovich Yu. S. , Agafonova A. V. , Pshenisnov K. V. 
Published: August 2024

Introduction. Heart failure is one of the most dangerous life-threatening conditions in children, requiring complex pathogenetically based treatment aimed at increasing cardiac output.The objective was to analyze publications devoted to assessing the effectiveness and safety of the use of milrinone in critical conditions in children.Materials and methods. The analysis included 60 publications from the PubMed and e-library abstract databases for the period from 2018 to 2023. The search was carried out using the keywords: milrinone, pediatric, neonate, heart failure, acute renal injury, and outcome. After the initial review of the abstracts, 18 articles were excluded from the analysis, if full text was not available or if they did not contain relevant information from a clinical perspective.Results. A significant part of the work is devoted to a comparative analysis of the therapeutic effects of milrinone and levosimendan in the early postoperative period after cardiac surgery in children, the authors of which in most cases believe that these drugs are comparable both in terms of treatment outcomes and side effects. At the same time, the results of a number of studies indicate significant advantages of milrinone, the use of which helps to reduce the level of lactate in the blood, is not accompanied by hypervolemia of the pulmonary circulation, helps to maintain optimal values of average blood pressure and reduce the duration of treatment in the ICU. On the other hand, there is evidence that the use of milrinone in the perioperative period may be associated with an increased need for additional fluid supplementation and an increase in the frequency of deaths after surgery in young children with complex congenital heart defects (CHD). Conclusion. Milrinone is the drug of choice for the treatment of acute heart failure in children with CHD in the early postoperative period and in newborns with persistent pulmonary hypertension.
Addressing disparities in rural and remote access for rheumatology practice through a transformative tele-healthcare delivery system: Experience of a large cohort of patients in eastern India
Authors: DAS BIDYUT KUMAR , PARIDA MANOJ KUMAR , TRIPATHY SAUMYA RANJAN , PATTANAIK SARIT SEKHAR , YADAV SANJAY KUMAR , MISHRA SAROJ K. 
Published: August 2024

Background
We present the experience of telerheumatology consultation services carried out in an eastern state of India.

Methods
We did this prospective, observational study of patients with rheumatological disorders and followed through telemedicine between December 2015 and May 2019.

Results
During the study period, we provided teleconsultation to 3583 patients with the help of 11 201 telemedicine visits. Patients resided at a median distance of 248 (13 to 510) km from the telemedicine hub. The cumulative savings of the patients as a result of this service were ₹2.4 crore (24 million). The median travel time saved was 7 hours (30 minutes to 12 hours) per patient per visit and a median of ₹6700 was saved per visit per patient.

Conclusion
Sustained efforts over a long period can lead to the delivery of essential rheumatology services via telemedicine to an under-priviledged population, reduce the financial burden of the poor, and help women to access healthcare services in remote parts of low- and middle-income countries (LMICs).
REVITALISASI KAMPUNG WISATA SOHEDEN (SOCO HERBAL GARDEN) KABUPATEN MAGETAN
Authors: Fatmala Fenti , Sari Nika Kartika , Yusdita Elana Era 
Published: August 2024

<p><strong><em>Abstract.</em></strong> <em>The purpose of this article is to explain the implementation of community service carried out by the Ormawa Himadik PPK team. The program was implemented in Soco Village, Bendo District, Magetan Regency with the theme Eduwisata. Soco Village is one of the villages that has started implementing the Edutourism Village program since 2021. However, everything seems neglected and not well maintained due to the lack of visitors and the absence of good and correct tourism management. The activity implementation method consists of 12 methods ranging from surveys to making reports. The results of this program are new conditions including (1) Tourism managers gain knowledge of soft skills and hard skills for tourism management and financial management; (2) After the formation of the POKDARWIS management structure, it is hoped that there will be a clear division of tasks based on the knowledge presented previously; (3) The existence of supporting facilities and infrastructure for the safety and comfort of visitors, namely plant name labels, increasing the number of plant species, repairing miniature ship ladders, and learning facilities for Pancasila student profiles; (4) Arrangement of tourist routes and installation of tourist layouts in Soco Village; (5) There are additional visitors after the facilities and infrastructure have increased, both from students and the general public</em></p><p> </p><p><strong>Abstrak.</strong> Tujuan dari artikel ini adalah untuk menjelaskan implementasi dari pengabdian masyarakat yang dilaksanakan tim PPK Ormawa Himadiksi. Program dilaksanakan di Desa Soco, Kecamatan Bendo, Kabupaten Magetan dengan tema Eduwisata. Desa Soco merupakan salah satu desa yang mulai melaksanakan program Desa Eduwisata sejak tahun 2021. Akan tetapi semua terkesan terbengkalai dan tidak terawat dengan baik karena sepinya pengunjung serta tidak adanya pengelolaan wisata yang baik dan benar. Metode pelaksanaan kegiatan terdiri dari 12 metode mulai dari survey sampai dengan pembuatan laporan. Hasil dari program ini adanya kondisi baru meliputi (1) Pengelola wisata mendapatkan ilmu softskill dan hardskill untuk pengelolaan wisata dan manajemen keuangan; (2) Setelah terbentuknya struktur kepengurusan POKDARWIS diharapkan ada pembagian tugas yang jelas berdasarkan ilmu yang disampaikan sebelumnya; (3) Adanya sarana dan prasarana penunjang untuk keselamatan dan kenyamanan pengunjung, yaitu label nama tanaman, penambahan jumlah spesies tanaman, perbaikan tangga miniatur kapal, dan sarana pembelajaran profil pelajar pancasila; (4) Adanya penataan alur wisata dan pemasangan layout wisata di Desa Soco; (5) Adanya penambahan pengunjung setelah sarana dan prasarana bertambah baik dari kalangan pelajar maupun umum</p><p> </p><div id="gtx-trans" style="position: absolute; left: -50px; top: 450.704px;"> </div>
PELATIHAN PEMBUATAN VCO (VIRGIN COCONUT OIL) DALAM MEWUJUDKAN PROJEK PENGUATAN PROFIL PELAJAR PANCASILA (P5) PADA SISWA KELAS VII SMP WARDHANI
Authors: Isrianto Pramita Laksitarahmi , Wilujeng Sukian , Marmi Marmi , Sunaryo Sunaryo , Ramadhanty Erlinda Shella , Setianingsih Indri 
Published: August 2024

<p><strong><em>Abstract.</em></strong> <em>The development of creativity in students in adolescence needs to be improved because in adolescence the curiosity for something new is higher. Therefore, it is necessary to hone their talents and creativity with positive things. As for the purpose of carrying out community service to students in order to develop knowledge of local wisdom products and skills that are still minimal, the idea of positive student creativity makes school conditions require a thought of transformation of science and technology by utilizing existing potential, so that it can shape the character of the community, especially students and students to be self-sufficient without leaving formal education at school. The creative solution that can be provided is to provide knowledge and training related to VCO (Virgin Coconut Oil) to seventh grade students of Wardhani Junior High School. VCO (Virgin Coconut Oil) is a pure coconut oil that is very beneficial for health. The method of implementation is providing material on the understanding and benefits of VCO, and demonstrating manufacturing techniques with the stages of preparation, implementation, assistance and evaluation. The results of the activity obtained 90% of participants have understood the basic techniques of making VCO and later students can have skills in developing VCO products into business opportunities to become entrepreneurs at a young age</em>.</p><p> </p><p><strong>Abstrak.</strong> Pengembangan kreativitas pada siswa-siswi pada usia remaja perlu ditingkatkan karena pada usia remaja rasa ingin tahu akan sesuatu yang baru lebih tinggi. Oleh sebab itu perlu mengasah bakat dan kreativitasnya dengan hal yang positif. Adapaun tujuan dilaksanakan pengabdian pada siswa siswi agar mengembangkan pengetahuan produk kearifan lokal dan keterampilan yang masih minim ide kreativitas siswa yang bersifat positif membuat kondisi sekolah membutuhkan suatu pemikiran transformasi ilmu pengetahuan dan teknologi dengan memanfaatkan potensi yang ada, sehingga dapat membentuk karakter masyarakat khususnya siswa dan siswi untuk berdikari tanpa meninggalkan pendidikan formal di sekolah. Adapun solusi kreatif yang dapat diberikan yaitu memberikan pengetahuan dan pelatihan terkait VCO (<em>Virgin Coconut Oil) </em>pada siswa kelas VII SMP Wardhani. VCO (<em>Virgin Coconut Oil) </em> merupakan minyak kelapa murni yang sangat bermanfaat bagi kesehatan. Metode pelaksanaannya yaitu pemberian materi tentang pengertian dan manfaat VCO, dan demonstrasi teknik pembuatan dengan tahapan persiapan, pelaksanaan, pendampingan dan evaluasi. Hasil dari kegiatan diperoleh 90% peserta sudah memahami teknik dasar pembuatan VCO dan nantinya siswa-siswa dapat memiliki keterampilan dalam mengembangankan Produk VCO menjadi peluang usaha menjadi <em>enterpreuner </em> pada usia remaja.</p><p> </p>
Rancang Bangun Sistem Deteksi Masker dan Suhu Badan Sebagai Prasyarat Absensi Berbasis Internet of things
Authors: Kadiran Sri Anggraeni 
Published: August 2024

<p>The mask and body temperature detection system for public places is still operated manually. The system was found not to adjust to the conditions of office employees, which required them to always be on guard and check the body temperature of every employee who would enter the office. Therefore, a mask and body temperature detection system was designed as a prerequisite for internet of things-based attendance that can make it easier for office employees to check the body temperature of everyone who will work, and so that employees can be disciplined in time. This system requires a temperaturesensor to detect the body temperature of people who will enter. A person's body temperature is said to be normal if it is lessthan 37.20C. If the temperature exceeds 37.20 C, then a person cannot take attendance. In addition to having a normal body temperature, the second requirement must be met, namely passing mask detection. Someone must wear a mask before entering the room, before taking attendance using a fingerprint. Arduino Uno will send data from the temperature sensor to the database and a 16x2 LCD, so that the system can be connected to the web which can be monitored by the administrator to get data on the number of office employees based on body temperature. In addition, a Raspberry Pi is used which will senddata from the webcam as a result of the mask detection image processing. The results of this final project indicate that the data sent to the web is in accordance with the data based on testing tools.</p>
Does Green Investment Elevate CSR Performance? The Role of CSR Committee As Moderating Factor
Authors: Setyahuni Suhita Whini , Zakaria Fakhmi , Oktoriza Linda Ayu 
Published: August 2024

This study intends to investigate the effect of green investment and CSR committee on CSR performance. This study also analyzes the moderating effect of CSR committee on the relationship between green investment and CSR performance. We analyzed 117 firms-years observation from 39 companies listed in LQ-45 index from 2019-2021. Sample is selected using purposive sampling technique, which the availability of CSR information become the criteria of sample selection. To test the hypotheses, we applied Moderated Regression Analysis (MRA). Our findings indicate that there is a positive impact of green investment and CSR committee on CSR performance. However, CSR committee does not play a moderating role in enhancing CSR performance. By using a new proxy of green investment and CSR performance measurement, our research contributes on providing a new insight on what factors influence the sustainability performance within legitimacy theory framework. Our findings provide empirical evidence that can be used by business practitioners and policymakers to consider the importance of independent CSR committee as a part of sustainability governance.