bluuebunny/crossref_metadata_2025_split huggingface dataset:
Análise da Influência da Cultura Organizacional Sobre o Processo Criativo na Indústria da Moda
Authors: Scarpato Lenice Eli Lunkes Scarpato , Schreiber Dusan , Theis Vanessa 
Published: August 2023

Este artigo objetiva identificar os elementos da cultura organizacional que fomentam ou inibem a criatividade dos profissionais de áreas criativas, que atuam em empresas do setor coureiro-calçadista localizadas na região do Vale dos Sinos. Em termos metodológicos, optou-se pela abordagem qualitativa e estratégia de pesquisa de campo, sendo os dados coletados por meio de entrevistas semiestruturadas e analisados por meio da análise textual. Como principais resultados, se evidenciou que os principais elementos que fomentam a criatividade são: autonomia e liberdade para criar; comunicação; colaboração; d) responsabilidade e comprometimento; e) valorização do trabalho criativo; f) oportunidade para desenvolvimento e crescimento profissional. Como inibidores do processo criativo, encontrou-se: desvalorização de ideias; falta de oportunidade de desenvolvimento profissional; comodismo; falta de mão-de-obra qualificada; frustração com o trabalho; pressão pelo pouco tempo de criar; responsabilidade pelo sucesso das vendas; pressão pelos custos de produção; multifuncionalidade do designer de moda.
STUDI TENTANG MINAT MAHASISWA TERHADAP MATA KULIAH PILIHAN PAKET PATUNG PADA PROGRAM STUDI PENDIDIKAN SENI RUPA FAKULTAS BAHASA DAN SENI UNIVERSITAS NEGERI PADANG
Authors: Andapes Riga , Widiarti Lisa 
Published: August 2023

Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh faktor internal dan eksternal yang memengaruhi minat mahasiswa pada mata kuliah pilihan paket seni patung pada Program Studi Pendidikan Seni Rupa. Penelitian ini menggunakan metode deskriptif kuantitatif, yaitu metode yang membuat gambaran mengenai kejadian dan situasi yang sebenarnya. subyek penelitian ini adalah mahasiswa Program Studi Pendidikan Seni Rupa sebanyak 49 orang yang mengambil mata kuliah pilihan paket yang terdaftar pada Semester Januari – Juni 2022. Teknik pengambilan sampel menggunakan teknik yaitu proportionate stratified random sampling. Penyusunan instrumen penelitian berpedoman pada skala Linkert. Sebelum alat pengumpulan data digunakan, langkah yang dilakukan terlebih dahulu dilakukan uji coba mengetahui validitas dan reliabilitas instrument. Analisis validitas menggunakan rumus pearson produk moment dan reliabelitas menggunakan rumus Alpha. Hasil analisis relibilitas instrumen adalah 0.936. Teknik analisis data ini mengunakan program SPSS versi 16.0 dan Microsoft Exel 2010. Hasil penelitian ini menunjukan bahwa faktor yang mempengaruhi minat mahasiswa Program Studi Pendidikan Seni Rupa Fakultas Bahasa dan Seni Universitas Negeri Padang terhadap mata kuliah pilihan paket seni patung yang terdiri dari faktor internal tinggi (75.02%) antara lain faktor perhatian (79.12%), faktor bakat (68.16%), dan faktor kesiapan (71.02%). Faktor eksternal sangat tinggi (80.89%) antara lain faktor kurikulum (82.45%), faktor metode pembelajaran (85.61%), faktor tugas (79.71%), faktor dosen yang mengajar (78.37%), dan sosial dan lingkungan (79.18%).Kata kunci : pengaruh minat, mata kuliah, mahasiswa
Pengembangan Modul Pembelajaran Ragam Hias Bagi Siswa Kelas VII SMP Negeri 1 V Koto Timur
Authors: Syawal Erdi , Efrizal Efrizal 
Published: August 2023

This observation aims to create a valid and practical decorative variety learning module product. In this development, 4-D model is the research model used in this development. 4-D model is divided into definition, design, development, dissemination. To fit the short time, the implementation of research is limited to the development stage. This was fixed on input from expert validators, including 3 lecturers of fine arts, 1 lecturer of language and teacher of cultural arts. The development of the decorative learning module was carried out with a small-stage test conducted by 15 grade VII students of SMP Negeri 1 V Koto Timur Padang Pariaman Regency. On the validation sheet given to the validator, the results obtained, namely 87,12% categorized as very valid. While the influence of practical test addressed to students, results of the practicality test given to students, the results were 91,6% categorized as very practical. Based on the assesments of the validater experts and students regarding the decorative learning module it is valid and practical. Keyword: Learning Module, Decorative
FORENSIC MEDICAL ASSESSMENT OF THE VOLUME OF REPEATED TRAUMATIC BRAIN INJURY (CASE FROM EXPERT PRACTICE)
Authors: Biliakov Andrii , Savka Ivan , Gychka Serhiy , Sapielkin Viktor 
Published: August 2023

Repeated traumatic brain injuries (TBI) pose a unique challenge for both clinical and forensic-medical investigations. The link between the consequences of repeated traumas and previous injuries can be extremely complex due to the similarity of symptoms and pathological changes observed in repeat injuries.
Results. The case demonstrates that a severe closed TBI previously suffered by the victim could have contributed to the occurrence of intracranial complications upon subsequent TBI, leading to altered directions of cavitation waves as a result of head impacts and the formation of new contusional foci within previously affected areas, as well as the development of intracranial hemorrhages. The previously suffered severe traumatic brain injury should only be regarded as an unfavorable factor that did not serve as a condition for the development of the repeated TBI and was not causally linked to it but could have facilitated the formation of the extent of the repeated TBI.
Conclusions. The presented case highlights that a comprehensive approach utilizing additional laboratory and instrumental diagnostic methods allows for the differentiation of TBIs occurring at different time intervals. Further research on repeated traumatic brain injuries is necessary.
Дослідження культивування безглютенової злакової культури (Eragrostis tef (Zucc.) Trotter) у Центральній Європі
Authors: Чобоі Йудіт , Сабо Белла , Колесник Анжела 
Published: August 2023

Глобальні зміни клімату можуть призвести до значного підвищення середніх температур і висихання деяких територій на планеті. У 2022 році майже половина Європи пережила спекотне та посушливе літо, якого не було за останні півтисячоліття. Такі негативні зміни клімату, призводять, в тому числі, і до втрат агробіорізноманіття, що є однією із основних проблем сталого розвитку. Сільськогосподарське виробництво має реагувати на ці проблеми, селекцією все нових й нових посухостійких сортів, а також культивуючи та адаптуючи культури, які за своєю суттю є посухостійкими. Тефф (Eragrostis tef (Zucc.) Trotter) — однорічний злак родини Poaceae, який широко культивується в Африці. Його борошно є основним продуктом ефіопської кухні, а тонку солому використовують як корм для тварин. Цільнозернове борошно, виготовлене з цієї культури, стає все більш важливим на ринку здорового харчування. Його використовують у виробництві різноманітних продуктів без глютену, зокрема таких, як макарони та хліб.На відміну від пшениці, кукурудзи та сорго, тефф стійкий до екстремальних кліматичних умов і добре росте як на сухих, так і на перезволожених ґрунтах. Експеримент проведений в 2022 році в демонстраційному саду Університету Ніредьгази. Сіянці були висаджені 30 травня 2022 року на чотирьох моніторингових ділянках площею по 0,5 м2 кожна. Врожай зібрали 18 жовтня, отримані результати, були переведені в кг/га. Встановлена врожайність близько 5 т/га ,однак не можна ігнорувати той факт, що ці показники отримані в умовах зрошення. Урожайність теффа (за умови вирахування чистоти 90%) становить у середньому 1,2 т/га. Це значно нижчі показники, ніж у традиційних зернових культур, але потенційно низькі витрати на виробництво та висока ціна продажу можуть зробити врожай конкурентоспроможним. Вага тисячі ядер становила 0,301 г, що більше, ніж в існуючих літературних відомостях.
Big data methods and news communication innovation from theoretical definition to operational route
Authors: Jin Xin , Hua Yucheng , Tang Qiao 
Published: August 2023

Abstract
To make news communication better adapt to the era of big data, it is necessary to innovate news communication. Accordingly, this paper constructs a big data analysis platform for news communication innovation methods based on the regression analysis model in big data analysis, determines the parameters and coefficients of the regression model with the help of the maximum likelihood estimation method, and determines the form of the regression model. Based on the platform, the main paths of news communication innovation are analyzed, standardized regression coefficients are calculated, and the main methods of news communication innovation are changing news communication forms and news communication media. To verify that the above methods can make news communication innovative, we designed a visualization information platform to change the news communication format and launched a simulation experiment to analyze the effect of news communication under different media. The results showed that after the visualization of the news communication format, the number of viewers of news programs increased from 2.45 million to 3.65 million, an increase of 1.2 million. The conversion rate of audience behavior of news programs increased from the original 63% to 87%, an increase of 24%. From the above results, it is clear that news communication under the big data approach has improved from a theoretical definition to an operational route.
The innovation path of virtual practice teaching in college Civics class based on the Ridge regression model
Authors: Han Fengzhi , Cheng Chen 
Published: August 2023

Abstract
The application of virtual practice teaching to the teaching of college Civics and Political Science class helps to develop a new way of practical teaching in ideological and political theory classes. This paper constructs a virtual practice teaching platform through the Ridge regression model, first calculates the least squares estimation of the virtual practice teaching model and sets up the matrix, standardizes the matrix for the original data set, and gets the estimation cluster of Ridge regression. Then the random variables under virtual practice teaching are given by variance expansion factors, the functions of the practice teaching matrix are defined, and the teaching time modeling analysis is performed with Ridge regression to derive the operating parameters of the matrix. Finally, the innovation path of virtual practice teaching is derived based on the constructed platform parameters. The simulation results show that the head-up rate of students under the virtual practice teaching class for freshmen students reaches 97.54% and 95.14% for sophomores, which is 25.13% and 13.84% higher than that of traditional classrooms. Thus, it can be seen that the platform constructed in this paper is conducive to applying the virtual practice to the teaching mode of college Civics class, promoting the innovative path of college Civics class, and improving the communication and communication ability of students.
Deep Learning-based Fuzzy Translation Problem in Chinese-English Epidemic News Reporting
Authors: Luo Ya 
Published: August 2023

Abstract
To smoothly realize the information conversion from the original language information to the target language, this paper constructs a deep learning-based fuzzy translation model for news reports so that the translated text can faithfully convey the meaning of the original language text information and achieve natural semantic equivalence. A neural probabilistic language model is used to construct objective functions in speech recognition and lexical annotation so that the translated text can provide a more appropriate linguistic representation of the polysemantic words in the original language text according to the differences in contextual morphology. A deep learning occurrence mechanism model is constructed through fuzzy semantic reasoning and fuzzy translation logic, and learning state indicators such as emotional interaction are designed to evaluate the occurrence status of fuzzy translation accurately. The simulation results show that the natural language processing (GLUE) test score of the deep learning-based fuzzy translation model for news reports is 89.8, 9.2, and 6.9 points higher than 80.6 and 82.9 for the other two models, respectively. The average error discrimination ability of the model designed in this paper is 93.57, and the average training set, development set, and test set values are 98.425, 10.16, and 45.95, respectively. Thus, it can be seen that the deep learning-based fuzzy translation model for news reports can more naturally and accurately respond to the dynamic changes in language, which promotes the rapid development of translation theory and practice.
Research on Curriculum Civic Education and Innovation and Entrepreneurship Education Reform in Undergraduate Universities under the Web-based Teaching Collaboration Platform
Authors: Liu Yanjie , Ni Li 
Published: August 2023

Abstract
To make better integration of curriculum thinking education and undergraduate college innovation and entrepreneurship education, this paper takes the data of resources related to curriculum thinking education and undergraduate college innovation and entrepreneurship education, inputs them into a multi-sensor information fusion based on Bayesian estimation, calibrates the data and eliminates invalid data. The optimal fusion number is determined by calculating the confidence distance measure of the sensor readings. Build a web-based teaching collaboration platform based on information fusion. To verify that the built teaching collaboration platform can integrate resources such as teaching contents and teaching objectives of both, thus achieving educational reform. The simulation results show that the number of students who choose to start their own business is 1,150 more than those who do not use the platform, and the success rate of starting a business is 36% higher than those who do not use the platform when the web-based teaching collaboration platform is used to educate students on curriculum thinking and politics and innovation and entrepreneurship in undergraduate colleges and universities. From the above results, it is clear that the built platform can promote the cultivation of innovative talents in undergraduate colleges and universities.
Research on optimal path planning technology for vehicle positioning and navigation system
Authors: Yan Ying 
Published: August 2023

Abstract
Intelligent Transportation System (ITS) is created in the context of the full development and progress of contemporary science and technology, aiming to help people make the best choice, drive the best vehicle, and control the best road network traffic. Intelligent vehicle positioning and navigation system is a high-tech integrated system that applies automatic vehicle positioning technology, geographic information system and database technology, computer technology, multimedia technology, and modern communication technology. In this paper, based on the research of GPS and GIS technology, by analyzing and comparing the advantages and disadvantages of different optimal path planning algorithms, we propose to optimize the A* algorithm by using the minimum heap sorting method for nodes and combining the twoway search and hierarchical search strategies to complete the improvement of the A* algorithm. The experimental results show that the path search speed of the improved algorithm has been significantly improved and the path design optimization is obvious. The improvement algorithm proposed in this paper is feasible and reasonable, which is good for upgrading the in-vehicle navigation system and relieving urban traffic congestion.
Risks and preventive measures for manufacturing enterprises in the Context of cloud accounting
Authors: Li Hang 
Published: August 2023

Abstract
The wide application of “Internet+” makes the organic integration of accounting and cloud computing a trend, and cloud accounting is also favored by enterprises for its efficient information sharing and high scalability; however, in the actual promotion due to the openness of the Internet and other special reasons, it also reveals such problems and risks as confusion in choosing cloud services, confusion in service level agreement, confusion in system irregularities and insufficient legal compliance. This paper takes the risk of transmission, storage, and use of financial information in the process of applying cloud accounting in manufacturing enterprises as the research object, to identify, confirm and evaluate the risk factors of cloud accounting and propose counter strategies. The results show that the relationship between the risk factors of cloud accounting are: risk of decision making in applying cloud services > risk of data information security > risk caused by insufficient understanding of service level agreement > risk of system Therefore, the risk of using cloud accounting in manufacturing enterprises is moderate and controllable, and as long as the risk factors are controlled reasonably, the use of cloud accounting is beneficial to the development of manufacturing enterprises.
New Green’s Function Method for Solving Underground Oil Seepage Problems
Authors: Li Linkai , Kang Hao , Gong Wangting , Zhou Xinyu , Fang Pengwei , Wang Zaizhou , Zhang Chunxiang , Qu Yongjie 
Published: August 2023

Abstract
Compared with the variables separation method and integral-transform method, Green’s function method is much more applicable and thus of great practical significance. Based on the general steps of Green’s function method, a new method is originally raised to get Green’s function in oil and gas flow problems through underground formations. After that, the transient pressure solution is get for flow in a spherical reservoir by using this method. This case enlarged the application of Greenʼs method function, and this work can also be a good foundation for the solution of more and more complicated flow problems in oil and gas reservoirs.
Statistical Analysis of Export Waybill Data of Cross-Border E-Commerce Based on ISM Model
Authors: Huang Dan , Li Li 
Published: August 2023

Abstract
This paper uses the expository structural model (ISM) as the basis for research. Firstly, it briefly analyzes the business structure of our cross-border e-commerce and foreign trade business. The specific organizational structure of the enterprise will encounter a variety of interference. This paper constructs a set of enterprise supply chain performance evaluation indexes based on balanced scoring. The writing improves the information level, logistics ability, customer status maintenance, and other vital links. Simulation results show that this method can improve the overall performance of foreign trade documents.
Respiratory Rehabilitation Improves Quality of Life and Functionality of Covid 19 Patients
Authors: Markovic Vladan , Jurisic-Skevin Aleksandra , Grbovic Vesna , Simovic Stefan , Todorovic Zeljko , Zdravkovic Nebojsa , Dimitrijevic Jelena , Zdravkovic-Petrovic Natasa 
Published: August 2023

Abstract
Respiratory rehabilitation leads to reduction of symptoms, strengthens extremity musculature and improves emotional state and management of daily activities in patients with respiratory diseases. Aim of our study was to determine quality of life and functionality of COVID 19 patients before and after respiratory rehabilitation program. The study was conducted at the Clinical Center, Kragujevac, from June to July 2020. The study was a prospective clinical trial and included 62 patients with the acutephase of COVID-19. Respiratory rehabilitation program started at hospital and continued at home for three months overall. Quality of life was measured by the EQ-5D-5L and patient’s functionality by The FIM score. All five dimension of EQ-5D-5L were higher after respiratory rehabilitation program as well as EQ-5D index score and VAS score (0.8516±0.202 and 53.31±17.129 before rehabilitation, 0.9147±0.074 and 64.53±8.368 after rehabilitation). Respiratory exercise showed significantly improvement in FIM total score from 104.48±12.880 to 106.21±9.791, as well as in FIM motor and cognitive subscores. Respiratory rehabilitation program improves quality of life and functionality of COVID 19 patients.
KARAKTERISTIK IBU BERSALIN DENGAN PLASENTA PREVIA DI RUMAH SAKIT UMUM PUSAT SANGLAH TAHUN 2018-2019
Authors: Dewi Ni Kadek Deby Cindra , Surya I Gede Ngurah Harry Wijaya , Mahendra I Nyoman Bayu 
Published: August 2023

ABSTRAK
Penyebab kematian ibu tersering di Indonesia disebabkan perdarahan obstetri dan plasenta previa merupakan salah satu perdarahan obstetri yang sering terjadi namun penyebab plasenta previa belum diketahui dengan pasti dan hanya dicurigai bersifat multifaktorial. Oleh karena itu penelitian ini bertujuan untuk mengetahui karakteristik ibu bersalin dengan plasenta previa di Rumah Sakit Umum Pusat Sanglah pada tahun 2018-2019 berdasarkan faktor risiko usia, jumlah paritas, jarak kehamilan sebelumnya, riwayat kuretase, riwayat operasi sesar, riwayat plasenta previa sebelumnya, kehamilan ganda serta tumor (mioma uteri dan polip endometrium).
Penelitian ini merupakan penelitian potong-lintang deskriptif. Subjek penelitian adalah ibu hamil yang bersalin di RSUP Sanglah Denpasar. Data penelitian ini adalah data sekunder yang diperoleh dari rekam medis RSUP Sanglah Denpasar periode 2018-2019. Data yang terkumpul diolah, dan disajikan dalam bentuk tabel.
Jumlah sampel yang sudah memenuhi kriteria inklusi dan ekslusi sebanyak 44 sampel. Persentase kasus terbanyak ditemukan pada kelompok usia tidak berisiko (56,3%), kelompok multipara (52,3%), jarak kehamilan > 2 tahun (47,7%), kelompok tanpa riwayat kuretase (61,4%), kelompok dengan riwayat operasi sesar (52,3%), kelompok tanpa riwayat plasenta previa sebelumnya (88,6%), kelompok kehamilan tunggal (95,5%), dan kelompok tanpa tumor (88,6%).
Kata kunci:plasenta previa, karakteristik plasenta previa, ibu bersalin.