bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pemanfaatan Aplikasi Dalam Pengelolaan Data Arsip Pada Yayasan Kopia Raya Insani
Authors: Firasari Elly , Khasanah Nurul , Saputri Daniati Uki Eka , Cahyanti F Lia Dwi 
Published: December 2024

Aplikasi Arsip adalah sistem untuk manajemen arsip elektronik secara lebih tersentralisasi, digital, sistematis, aman, dan terstruktur. Dengan menggunakan metode ini dapat mempermudah organisasi untuk menyimpan, berbagi, dan mengelola arsip secara efisien. Pada kegiatan pelatihan ini diperkenalkan Aplikasi untuk pengelolaan data arsip, yang dapat dimanfaatkan pengurus Yayasan Kopia Raya Insani untuk. Kegiatan Pengabdian kepada Masyarakat (PKM) yang berbentuk pelatihan ini dilaksanakan selama 1 hari, yang mana pengurus memahami dan menerapkan bagaiman acara mengelola arsip menggunakan aplikasi. Adapun kegiatan ini dilaksanakan secara praktek langsung dan interaktif, yang mana pengurus langsung mempraktekan materi yang diberikan Tim Pengabdian Masyarakat serta juga dapat melakukan diskusi secara langsung dengan Tim PM dari Universitas Nusa Mandiri. Pelaksanaan kegiatan pelatihan ini, dilakukan evaluasi terkait pengetahuan serta kemampuan peserta dalam memahami aplikasi yang diguankan untuk pengelolaan data arsip. Dari hasil evaluasi, dapat diketahui bahwa seluruh pengurus telah berhasil memahami dan cara input data arsip ke dalam aplikasi yang akan digunakan.
The enigma of unintentional racial microaggressions
Authors: McCann Malik , Tudor Keith 
Published: December 2024

Unintentional racial and cultural microaggressions towards indigenous and minority peoples while injurious to recipients, are characteristically not recognised by the perpetrator and when challenged, are often not able to be met with curiosity or the capacity for reflection. The difference in racial and cultural realities exposed in these encounters can lead to breakdowns in recognition and polarising dynamics which perpetuate structural oppression. They also represent missed opportunities for greater understanding of the ways socially sanctioned norms, assumptions and beliefs reinforce the implicit positioning of self and other as racial and cultural objects. Through consideration of the societal, interpersonal and intrapsychic aspects of the first author’s experience through heuristic enquiry (supervised by the second author), we consider unintentional racial microaggressive encounters and challenges as the observable outcome of implicit racialisation into colonial society. This article presents some discussion and implications for the discipline or profession of psychotherapy.
Pengaruh Heat Treatment pada Kekerasan Material Baja SKD 11
Authors: Setiawan Hera , Khoeron Slamet 
Published: December 2024

Material untuk cutting tools, punching tools, dan forming tools (non cutting tools) adalah jenis material yang mempunyai kekerasan dan keuletan yang baik. Hal ini dapat dicapai dengan perlakuan panas pada material dies dan punch Penelitian ini bertujuan untuk mempelajari pengaruh proses perlakuan panas (heat treatment) pada kekerasan material Baja SKD 11. Material Baja SKD 11dengan ukuran 130 mm x 115 mm x 30 mm dilakukan proses heat treatment, yaitu hardening temperatur 1.040°C dengan holding time 120 menit dan quenching dengan media pendingin oli, kemudian dilanjutkan tempering dengan temperatur 250°C dan holding time 60 menit. Kekerasan sebelum dan sesudah proses heat treatment diperiksa dan dibandingkan. Hasilnya menunjukkan bahwa harga kekerasan rata-rata raw material SKD 11 adalah 20 HRC, setelah proses hardening dan quenching 54 HRC, dan setelah tempering adalah 47 HRC.
Studi Teoritis Kinerja Propeller Mesin Pesawat tanpa Awak (UAV) dengan Variasi Pitch Propeller untuk Optimalisasi Gaya Thrust
Authors: Faishal Afif , Aklis Nur , Wibowo Ari Mukti , Harjanto Furqaan , Supriyanto Agung , Pambudi Hafizt Bagus , Fadhlan Muhammad , Rofiyantama Dega 
Published: December 2024

Kinerja pesawat tanpa awak atau unmanned aerial vehicle (UAV) sangat dipengaruhi oleh gaya dorong propeller, yang secara langsung memengaruhi daya angkat pesawat di udara. Gaya dorong propeller pada UAV ini dikenal juga dengan gaya thrust. Berbagai faktor, seperti dimensi, desain propeller, daya mesin UAV, dan kondisi pengoperasian, memengaruhi gaya thrust yang dihasilkan. Oleh karena itu, penelitian dengan membandingkan kinerja propeller sangat penting untuk mengetahui gaya thrust terbaik yang mampu dicapai. Penelitian ini dilakukan untuk menganalisis kinerja propeller dengan perhitungan teoritis pada variasi pitch propeller 7, 8, 9, 10, 11, 12 (Inch) dengan diameter propeller 16 Inch. Perhitungan teoritis didasarkan pada konsep gaya dan perubahan momentum fluida yang melewati propeller. Perhitungan teoritis tersebut divalidasi oleh eksperimen pengujian thrust dengan metode Ground Test pada propeller 16x10 (Diameter x Pitch Propeller) untuk mengetahui kesesuaian perhitungan teoritis dengan eksperimen. Eksperimen dilakukan pada rangkaian uji thrust dengan mesin UAV pada variasi putaran mesin 2000, 3000, 4000, 5000, 6000, 7000 (Rpm). Validasi ini berguna untuk memastikan bahwa model perhitungan yang digunakan dapat merepresentasikan kondisi nyata di lapangan. Hasil penelitian menunjukkan bahwa thrust tertinggi dihasilkan pada propeller dengan pitch 12 inch dengan putaran mesin 7000 Rpm, yaitu sebesar 5,1358 Kgf. Data keseluruhan menjelaskan bahwa pada peningkatan pitch propeller dan putaran mesin menunjukkan adanya kenaikan gaya thrust yang dihasilkan. Pitch propeller dapat berpengaruh terhadap thrust yang dihasilkan karena mampu meningkatkan sudut serang setiap bilah terhadap aliran udara. Sudut serang yang lebih besar ini memungkinkan propeller memindahkan lebih banyak udara dalam setiap putaran. Demikian juga dengan putaran mesin yang meningkat akan memperkuat dorongan setiap propeller terhadap udara sekeliling yang dilaluinya.
THE KONNO–RASTAN PROCEDURE: RESULTS AND OUTCOMES IN CONGENITAL PATIENTS
Authors: Abrami G. , Varrica A. , Hafdhullah M. , Reali M. , Lo Rito M. , Torchio F. , Giamberti A. , Tarus A. 
Published: December 2024

Background and Aim:
Konno-Rastan procedure involves enlargement of aortic annulus to accommodate larger prosthetic valve, improving hemodynamics and reducing patient-prosthesis mismatch. This study aims to evaluate mid-term and echocardiographic results.

Methods:
This study retrospectively examined outcomes in 21 patients, aged 5 to 49 years, between February 2015 and June 2023. Patients were followed for a median of 2.6 years (IQR:1-5 years). The primary outcomes assessed included survival rates, early morbidity, reintervention, mid-term results and echocardiographic status.

Results:
Median age was 23years (IQR:14-36.7), median BSA 1.67m2 (IQR:1.46- 1.8). Eleven were female. Seventeen (81%) had previous procedures, including one balloon valvuloplasty. Average aortic annulus size was 18 mm, mean transvalvular gradient was 47mmHg.Mechanical valves were implanted in 20 patients, one patient receiving biological valve; the average size of the prosthetic valves was 21 mm. Three patients required concomitant surgical procedures. Median CPB time was 140 minutes (IQR:115-178), median aortic cross-clamp time was 110 minutes (IQR:91-138). There were no procedure-related mortalities, no patients experienced major arrhythmias or heart blocks postoperatively. Freedom from reintervention rate was 96% at both 1 year and 5 years and only one requiring a reoperation due to prosthetic valve detachment two months after the procedure for endocarditis. Mean transvalvular gradient at the most recent follow-up was 13mmHg.

Conclusion:
The Konno procedure is a highly effective option for patients with a small aortic annulus, offering encouraging long-term outcomes. Its strategic incisions optimize exposure and facilitate annulus enlargement, significantly improving hemodynamics. Procedure’s success highlights importance of precise surgical techniques to minimize complications, such as conduction system and coronary injuries, ensuring it remains a reliable choice for complex aortic valve replacements.
Empirical Analysis of Factors Influencing the Change of Management System in Chinese Museums Based on Panel Data Model
Authors: Gu Zhenjing , Tan Xin , Xie Chuzhong 
Published: December 2024

Abstract
This study examines the impact of government size, financial support, and financial development on the economic growth of Chinese museums, using panel data from 34 regions. As the tertiary industry gains prominence in China, museums, essential for cultural dissemination and economic value in tourism and cultural industries, are increasingly in focus. Findings reveal that moderate government size and robust financial support positively influence museum development, making financial backing essential for fostering innovation and market-oriented growth. This research provides a theoretical basis for policymakers, advocating optimized government support and market-driven reforms to further advance China’s museum sector.
Empirical Analysis of the Effect of Inquiry Teaching on Legal Literacy Cultivation of College Students
Authors: Huang Aiwa , Zhang Rencheng , Xu Shuang 
Published: December 2024

Abstract
Undergraduates represent a burgeoning element in the realization of the Chinese dream. Their understanding of the law is intimately connected to the advancement of a law-governed China, underscoring the importance of fostering legal awareness among university students in contemporary times. Utilizing empirical research, this paper delves into the efficacy of the inquiry-based instructional approach in enhancing the legal consciousness of students. In a higher education institution in Hainan, first-year nursing students were randomly assigned to either an experimental or a control cohort. The experimental group received instruction through the inquiry method, contrasting with the traditional teaching method used for the control group. The educational experiment spanned a period of five weeks. Data were gathered via surveys, discussions, and classroom observations, with the SPSS program employed for the quantitative analysis of data, encompassing descriptive statistics, t-tests, and analysis of variance. The findings indicate a marked enhancement in the legal literacy of the experimental group post-experiment, with a statistically significant distinction observed between the experimental and control groups. The paper advances a suite of pedagogical strategies grounded in empirical analysis, with the goal of refining the implementation of the inquiry method in legal education and offering targeted recommendations for institutions of higher learning, educators, and students.
Deep Learning-Based Prediction and Optimized Path Planning for Sports Athletes’ Movement Trajectories
Authors: Sun Diying 
Published: December 2024

Abstract
In today’s increasingly popular sports, more and more scholars are focusing on the use of intelligent ways to further enhance the effectiveness of sports and competitions. In this paper, we use the LSTM network model to extract the sports characteristics of sports athletes, introduce the graph neural network GNN model to realize the spatial and temporal interaction design in the prediction of sports trajectory, and finally output the sports trajectory prediction model through the LSTM decoder module. Meanwhile, based on the trajectory prediction results and the optimization objectives and constraints of the sports trajectory, the sports path planning model is established using the quadratic planning model. The testing of the model found that its motion trajectory prediction model performance improved accuracy and EAO by 22.50% and 35.47%, respectively, compared to the baseline method. In addition, the model is able to accurately predict athletes’ movement trajectories in empirical analysis and can provide reasonable and optimal movement paths for soccer players. The model proposed in this paper can provide athletes with technical improvements and trajectory optimization solutions and formulate targeted training plans to strengthen theoretical guidance for sports athletes. The model can be improved and applied to real sports competitions in future research.
A study on automatic identification of students’ emotional states using convolutional neural networks
Authors: Tao Huiying , Liu Chao , Liu Yanzhang 
Published: December 2024

Abstract
Emotion recognition, as a hot topic in human-computer interaction, is now widely used in the field of education, which provides teachers with real-time teaching feedback through emotion computation. Physical behavior is one of the main means for humans to express emotions. This paper proposes to combine a temporal segmented sampling network (TSN) and spatiotemporal graph convolutional network (STGCN) to construct a dual-stream feature model to describe the spatiotemporal characteristics of physical behavior. The performance of the model was tested on 192 volunteers, and it was found that the TSN+STGCN model had the highest recognition rate in the NM (97.31%), BG (88.22%), and CL (78.95%) conditions compared to the CNN model and STGCN model. The angle of recognition for emotional recognition will affect the recognition rate, which is reflected in the fact that the closer the angle of recognition is to 90°, the worse the recognition rate is. In the six emotion recognition tests, the TSN+STGCN model can completely recognize the anger and sadness emotions; the happy emotion (98.18%) has the highest recognition accuracy, and the shocked emotion (73.91%) has the lowest recognition accuracy. The model was tested in a classroom as an example, and it was found that the number of students with positive emotions under a certain moment was higher, and the students’ mood fluctuation ladder line within the classroom also provided a basis for teachers to judge the students’ learning status within the classroom.
A Study on Short Video News Dissemination Efficiency Enhancement and Media Image Online Remodeling Strategies
Authors: Jin Weijiao , Zhu Xiaolin 
Published: December 2024

Abstract
This paper studies and analyzes the communication strategy of news and information short videos. It looks at the weights of each element in the communication strategy of short news videos from the point of view of the 4I theory of network-integrated marketing and builds an optimization path for the communication strategy of short news videos using the hierarchical analysis method. The weight order of content narrative (0.4128) > user motivation satisfaction (0.3219) > multiple interactions (0.1334) > user behavior (0.1319) was obtained. The optimization path of the 4I communication strategy showed a significant positive correlation (P<0.05) with four aspects: account fan volume, account live broadcasting situation, number of comments on the video work, and the account fan base. By adhering to positive and positive reporting themes and creating news genres with form, the 4-aspect strategy can transform the media image online.
Statistical Modeling Analysis of the Relationship between Player Performance and Winning and Losing in Sporting Football Games
Authors: Guo Sainyu , Yu Lihua 
Published: December 2024

Abstract
The continuous development of big data technology makes data acquisition and organization easier and faster than before, and predicting the results of sports games through data mining algorithms has become a hot research direction. In this paper, crawler technology is used to collect data on players’ performance, game scores, wins, and losses in sports soccer games. Once the data has been pre-processed, the key player performance features are identified through a stepwise regression method, and the gray correlation coefficient and weighted gray correlation degree of dimensionless data are calculated. Finally, based on the gray correlation coefficient between player performance and match score and the SHAP model, a prediction model for the win and loss of soccer matches was constructed. The study shows that there is a strong correlation between the performance of players and the winners and losers in soccer matches, and the SHAP model has good applicability to the complex non-linear relationship between the performance statistics of players and the winners and losers in soccer matches, and the prediction accuracy can reach 91.6%. This paper provides certain decision support for the tactical formulation and execution scenarios of teams in soccer matches and lays the foundation for the research direction in the field of competitive sports in the prediction of match results.
Integrated use of three physical exploration methods in open-pit coal mining surveys- A case study
Authors: Zhang Jimiao , Su Xiaohong , Zhang Ping , Wang Zian , Xia Chen 
Published: December 2024

Abstract
In an exploration study of the slope of an open-pit mine, three geophysical methods were employed: transient electromagnetic method, background noise method, and seismic reflection method. Detailed surveys were conducted on the northern, southern, and western slopes. The three methods collectively identified multiple fracture zones and water-rich areas in the roof of coal seam 5. The results revealed significant fracturing and water content in the northern and southern slopes, while the western slope remained relatively intact. Active source seismic exploration made it clear what the coal seams 5 and 6 were made of in terms of seismic wave group characteristics. This matched up with the supplementary exploration report’s information on how the mining area was spread out. The geological information on rock mass indices and fracture degrees provided in the supplementary exploration report was effectively complemented by geophysical techniques. The anomalies identified by the three methods showed substantial overlap. The study indicates that the rock mass in the mining area is predominantly soft rock, which softens and disintegrates easily when exposed to water, thereby affecting slope stability. It is recommended to optimize the drilling layout based on geophysical results to provide prerequisites for slope stability monitoring and management.
A data-driven approach to the optimization of Bajiquan movements in wushu sports
Authors: Li Xiangyang , Lv Yongfei , Dong Wei 
Published: December 2024

Abstract
During the development of Chinese traditional martial arts, most of them have been passed down from master to disciple in the form of oral hand-to-hand transmission, which makes it difficult for most of them to be “standardized” and regulated. The digital characteristics of Bajiquan movements are explored using motion capture technology in this paper. The 3D Suit equipment is used to collect the position and rotation angle of the human body, and the collected data are processed by quaternion, Euler angle, and Kalman filtering to get the research data without interfering with information. After analysis of the results, there is a significant difference between the traditional training mode and the data-driven mode in the four dimensions of the stance of the Bajiquan Hammer Bracing Movement, indicating that the data-driven method is more effective in optimizing the Bajiquan movement. This study can help martial arts enthusiasts master the technical fundamentals of Bajiquan more quickly, which is crucial for the preservation and advancement of Chinese martial arts.
Safety of Aircrew and Airline Passengers During the COVID-19 Pandemic: A Narrative Review
Authors: Minoretti Piercarlo 
Published: December 2024

Abstract
During 2020, severe acute respiratory syndrome (SARS)-coronavirus-2 (SARS-CoV-2) rapidly spread worldwide and caused over 59,000,000 confirmed cases of Coronavirus Disease 2019 (COVID-19), a mild-to-severe respiratory disease that generated a globally unexpected increase in hospitalizations and intensive care unit admissions. COVID-19 – declared a pandemic on March 11, 2020, by the World Health Organization – is substantially affecting the aviation transportation system worldwide.
In an effort to mitigate the pandemic, nearly all countries adopted preventive and containment measures – including lockdown or restriction to movements – to decrease human-to-human transmission. As a consequence of travel restrictions, a considerable drop in air passenger demand occurred, although in-flight transmission SARS-CoV-2 cases have been limited to date. In addition, the COVID-19 pandemic generated occupational health issues on aviation personnel. Given the magnitude of the disruptions, the role of governmental authorities and legislators is crucial to mitigate the impact of the COVID-19 pandemic.
Particularly, attention should be given to protect both aircrew members’ and passengers’ health and safety, while minimizing the risk of SARS-CoV-2 transmission. The aim of this review is to provide an overview on the impact of the COVID-19 pandemic on the aviation industry and to highlight the need of critically improving pre-flight diagnostic tests execution to protect the health of aircrew members and ensure airline passengers’ safety. Optimizing communications, before and during the flight, to keep aircrew members and passengers properly informed on all travel requirements will be also crucial.
Morphological identification of hookworm species in five regions of Cameroon
Authors: Dongmo C.N. , Jatsa H.B. , Tchuem Tchuente L-A 
Published: December 2024

Summary
Infections with hookworms (Necator americanus and Ancylostoma duodenale) remain a major public health problem in low- and middle-income countries. However, the information about the distribution of each species is inaccurate in many countries since their traditional diagnosis is based only on the identification of eggs in stool under a microscope. We aimed to identify the prevalence of hookworm species using morphological stools to identify L3 larvae to gain insights into the distribution of both species in five regions of Cameroon. Samples were collected from schoolchildren in five regions and 34 subdivisions of Cameroon and examined using the Kato-Katz method. We randomly selected a total of 157 samples among hookworm's positive stool samples. They were cultured using the Harada-Mori test-tube technique. The morphological identification of a total of 8063 isolated hookworm filariform larvae L3 was conducted following established criteria. The sensitivity rate to the Harada-Mori technique was 58 %. Among the 8063 L3 larvae identified during this study, 230 (2.95 %) of L3 larvae were identified as A. duodenale, and 7833 (97.15 %) of L3 larvae were identified as N. americanus. A. duodenale was observed only in the Mouanko subdivision in the Littoral region. The complementary use of the Kato Katz and the Harada-Mori culture techniques to screen hookworm infections contributes to the differentiation of N. americanus and A. duodenale as the two hookworm species in Cameroon. An extended molecular study in the localities where only N. americanus has been identified is necessary to reach more conclusions on the distribution of hookworm species in Cameroon.