bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of 48 Months of Closed-Loop Insulin Delivery on Residual C-Peptide Secretion and Glycemic Control in Newly Diagnosed Youth With Type 1 Diabetes: A Randomized Trial
Authors: Ware Julia , Boughton Charlotte K. , Allen Janet M. , Wilinska Malgorzata E. , Hartnell Sara , Thankamony Ajay , Randell Tabitha , Ghatak Atrayee , Besser Rachel E.J. , Elleri Daniela , Trevelyan Nicola , Campbell Fiona M. , Sibayan Judy , Bailey Ryan , Calhoun Peter , Dunseath Gareth , Hovorka Roman ,   CLOuD Consortium, Randell Tabitha , Verhoeven Vreni , Hovorka Roman , Thankmonay Ajay , Acerini Carlo , Dunger David , Boughton Charlotte , Ware Julia , Tauschmann Martin , Lakshman Rama , Allen Janet , Wilinska Malgorzata , Hartnell Sara , Cezar Alina , Ashcroft Nicole , de Barros Tamarozzi Mirela , Murthy Meena , Ghatak Atrayee , Thornborough Keith , Mimnagh Jonathon , Shakeshaft Joanne , Phelan Karen , Besser Rachel , Law Rebecca , Megson Clare , Haest Jane , West Alison , Stamford Imogen , Elleri Daniela , McDonald Morag , Trevelyan Nicola , Dewar Helen , Brampton Rachel , Price Gabrielle , Crouch Gillian , Campbell Fiona , Yong James , Metcalfe Emily , Cameron Andrew , Lawton Julia , Rankin David , Sibayan Judy , Calhoun Peter , Bailey Ryan , Rusnak Jessica , Bugielski Brian , Dunseath Gareth , Luzio Stephen , Northam Elisabeth , Todd John , Roze Stéphane , Scott Eleanor , Jones Tim , Patterson Chris , Adolfsson Peter , Gregory John , Greene Stephen , Blair Jo , Passmore Alexia 
Published: June 2024

OBJECTIVE
We evaluated the effect of long-term intensive metabolic control with hybrid closed-loop (CL) on residual C-peptide secretion and glucose control compared with standard insulin therapy in youth with type 1 diabetes over 48 months.

RESEARCH DESIGN AND METHODS
Following the 24-month primary phase of a multicenter, randomized, parallel trial of 96 newly diagnosed youth aged 10 to 16.9 years, participants were invited to an extension phase using treatment allocated at randomization. They continued with hybrid CL using the Cambridge algorithm or standard insulin therapy (control) until 48 months after diagnosis. Analysis was by intention-to-treat.

RESULTS
At 24 months after diagnosis, 81 participants (mean ± SD age 14 ± 2 years) continued in the extension phase (47 CL, 34 control). There was no difference in fasting C-peptide corrected for fasting glucose at 48 months between groups (CL: 5 ± 9 vs. control: 6 ± 14 pmol/L per mmol/L; mean adjusted difference −2 [95% CI −7, 4; P = 0.54]). Central laboratory HbA1c remained lower in the CL group by 0.9% (10 mmol/mol [95% CI 0.2, 1.5; 3, 17 mmol/mol); P = 0.009). Time in target range of 3.9 to 10.0 mmol/L was 12 percentage points (95% CI 3, 20; P = 0.008) higher in the CL group compared with control. There were 11 severe hypoglycemic events (6 CL, 5 control) and 7 diabetic ketoacidosis events (3 CL, 4 control) during the extension phase.

CONCLUSIONS
Improved glycemic control was sustained over 48 months after diagnosis with CL insulin delivery compared with standard therapy in youth with type 1 diabetes. This did not appear to confer a protective effect on residual C-peptide secretion.
Electrochemical Properties of Activated Carbon Electrodes for Supercapacitor Application: The Effect of Various Electrolyte Concentrations of Na2SO4
Authors: Rosi Memoria , Fatmizal M Nanang Ziad , Siburian Dedy Hendra , Ismardi Abrar , Abdullah Nor Hakimin 
Published: June 2024

To achieve the high accomplishment of the supercapacitor, various electrolyte concentrations of Na2SO4 (0.5 M, 1 M, and 2 M) were added to the activated carbon (AC) electrode. The AC has a moderate surface area of 1,500 m2/g and a pore size of 1 nm (micropore scale). The AC electrode was deposited from the mixture of AC, carbon black, and polytetrafluoroethylene (PTFE) with a weight ratio of 8:1:1 using the doctor blade method. Cyclic Voltammetry (CV), Galvanostatic Charge Discharge (GCD), and Electrical Impedance Spectroscopy (EIS) were used to characterize the electrodes electrochemically. Based on CV, GCD, and EIS characterizations, the measured specific capacitance of 17.2 F/g and ESR of 4.4 W exhibit the best performance due to their high ionic conductivity. We can conclude that 2 M Na2SO4 is a viable option for the ionic electrolyte of the microporous AC for the high performance of a supercapacitor.
Aspek Sosial dalam Pementasan Teater “Awak Tam Ong” oleh Kelompok Teater Kosong Aceh
Authors: Soeryana Dharminta 
Published: June 2024

Drama “Awak Tam Ong” menarik diteliti karena berupaya memaknai situasi sosial, budaya, ekonomi, hukum, dan politik di tengah masyarakat terkait kehadiran para pendatang pasca tsunami di Aceh. Permasalahan yang diangkat dalam penelitian ini pertama, untuk mengetahui kondisi sosial historis pasca tsunami di Aceh yang mempengaruhi penciptaan naskah ATO. Kedua, mengetahui tema dan permasalan drama ATO. Penelitian ini menggunakan metode kualitatif dengan pengumpulan data melalui observasi, wawancara, dokumentasi. Selanjutnya data-data tersebut dianalisis dengan menggunakan teori struktur dan tekstur yang dirumuskan oleh George Kernodle. Selanjutnya menggunakan pendekatan semiotika teater yang dirumuskan oleh Peirce tentang semiotika didasari pada logika, yakni bagaimana logika orang bernalar berdasarkan tanda-tanda berkaitan dengan objek-objek yang menyerupainya. Penelitian ini juga menggunakan sosiologi teater yang dirumuskan Fortier tentang materialism Marxis tradisional.Hasil penelitian menunjukkan, bahwa (1) naskah ATO adalah garapan teater rakyat dengan sentuhan teater modern. (2) adanya penawaran agar memodifikasi pemulia jamee (memuliakan tamu) sebagai salah satu aplikasi budaya yang sesuai dengan perkembangan jaman tanpa menghilangkan nilai-nilai yang telah ada. (3) adanya usaha saling mempengaruhi antara kelompok Teater Kosong dengan masyarakat Aceh dalam proses penciptaan naskah ATO. (4) selain sebagai media hiburan, pementasan ATO juga media efektif sebagai ruang ekspresi dan komunikasi yang memuat unsur pendidikan (norma, historis, ekonomi, politik, dan religius), sarana pengembangan diri, pengembangan kemahiran bersosial dan berbudaya.Kata Kunci: Teater komedi, pendatang, kondisi sosial budaya dan politik
Analisis Gaya Permainan Biola Gili Karya L. Jaka Pratama
Authors: Dwimauly Shofia , Hermansyah Wawan 
Published: June 2024

Penelitian ini bertujuan untuk mendeskripsikan hasil dari wawancara Gaya (style) permainan Biola pada lagu Gili karya L. Jaka Pratama sebagai bentuk Apresiasi terhadap pegiat seni musik lokal (daerah) yang diharapkan hasil dari pendekripsian tersebut dapat menjadi bahan pengembangan permainan Biola dan dapat menambah Ragam Gaya permainan Biola Nuasantara.Penelitian ini merupakan penelitian kualitatif. Objek penelitian ini adalah lagu berjudul Gili karya L. Jaka Pratama, sedangkan informannya yaitu L. Jaka Pratama. Penelitian difokuskan pada pendekripsian Gaya permainan biola beliau pada salah satu lagu dalam album Sound Of Fisherman yaitu Lagu Gili. Penelitian ini menunjukkan bahwa dalam lagu Gili karya L. Jaka Pratama terdapat beberapa macam gaya permainan biola yang meliputi gaya permainan tradisonal dan beberapa kombinasi gaya permainan modern.
Pengukuran Rasio Keuangan untuk Menilai Abnormal Return Saham Pada Perusahaan yang Melakukan Penawaran Umum Perdana
Authors: Syafaqoh Rizki Zahroh , Sari Shinta Permata 
Published: June 2024

Abnormal return saham merupakan selisih antara return sesungguhnya dikurangi return ekspektasian. Return realisasi adalah return yang telah terjadi, sedangkan return ekspektasian adalah return yang diharapkan oleh investor. Penelitian ini bertujuan untuk menganalisis pengaruh cash ratio, debt to equity ratio, total asset turnover dan return on equity terhadap abnormal return saham pada perusahaan yang melakukan penawaran umum perdana (IPO) di Bursa Efek Indonesia tahun 2020-2022. Teknik pengambilan sampel yang digunakan pada penelitian ini adalah purposive sampling dan sebanyak 118 perusahaan telah memenuhi kriteria sebagai unit observasi. Metode analisis yang digunakan adalah regresi liniear berganda. Hasil penelitian memberikan bukti empiris bahwa debt to equity ratio dan return on equity berpengaruh terhadap abnormal return saham, sedangkan cash ratio dan total asset turnover tidak berpengaruh terhadap abnormal return saham.
Meta-analysis of the Effect of Psychological Interventions on Investment Anxiety and Decision Quality in an Entrepreneurial Group of College Students
Authors: Fang Lina , Wang Yong 
Published: June 2024

Abstract
Depression and anxiety are relatively common psychological problems among college entrepreneurial groups, and the detection rate is increasing year by year, which seriously affects the life of college entrepreneurial groups. In this paper, we searched the International Journal Literature Database to obtain relevant research literature on the effects of psychological interventions on investment anxiety and decision-making quality in college entrepreneurial groups. The Cochrane Handbook of Risk Assessment was used to test the suitability of the literature for Meta-analysis, and the data from the studies in the literature were processed by heterogeneity test and combining the effect sizes, etc. Meta-analysis showed that psychological interventions only had a significant positive effect on the improvement of the investment anxiety scale of college entrepreneurial groups (SMD=-1.06), and the impact of Morita Therapy on investment anxiety was the most significant. At the same time, studies in the literature show that psychological intervention has a strong influence on the improvement of decision-making quality of college entrepreneurial groups, and the combined SMD value of the psychological intervention group and the control group is -1.39. This paper provides an effective theoretical basis for the improvement of investment anxiety and decision-making quality of college entrepreneurial groups. It lays a foundation for the effective development of programs for psychological intervention in colleges and universities.
A Study of Strategies for Integrating Faculty Professional Development and Blockchain Technology in Higher Education
Authors: Meng Xianglong 
Published: June 2024

Abstract
This paper is oriented to the integrated learning bill for college teachers and integrates blockchain technology to construct a high-security and credibility assessment system for college teachers’ professional competence development. Through similarity calculation and hierarchical clustering to form a dataset related to teachers’ professional competence, the TOPSIS-gray correlation analysis algorithm is used to assess the development of teachers’ professional competence tendencies. The teacher information is then transformed to finally form an information profile panel that can comprehensively characterize the development of college teachers’ professional competence, which is stored in the blockchain in the form of a learning bill. The single feature clustering results indicate that the majority of teachers are either good or above in every professional development evaluation feature, with excellent being above 30%. In the overall clustering, only 17.91% were labeled as excellent. In the teacher professional development assessment indicators, the reaction layer (34.9) and learning layer (33.6) have a greater impact on the professional development of teachers in higher education. The F-values of teachers in different subject areas in the overall test of teacher professional development did not reach a significant level (2.11, 0.24, 0.20, and 0.42, respectively). In the correlation test, blockchain technology was significantly and positively correlated with the quality of teachers’ professional development (p<0.05). The validity of the professional development assessment system for college teachers that incorporates blockchain technology is confirmed by this study.
Research on Change and Innovation of Quality Evaluation System of Ideological and Political Education in Contemporary Colleges and Universities-Based on CIPP Model
Authors: Wang Yan , Cao Yang 
Published: June 2024

Abstract
Civic and political education work in colleges and universities is a reform measure of human education put forward under the fundamental pursuit and urgent demand for human education in colleges and universities by the development of the country and society. The article first researches the relevant theories of the factor analysis method, completes the construction and step-by-step design of the factor analysis mathematical model of the evaluation index of Civic and Political Education, and further constructs the CIPP model. Finally, it takes the work of Civic and Political Education in School H as an empirical study. It tries to carry out a panoramic evaluation of it so as to improve and optimize the work of Civic and Political Education. The weights of the first-level components based on the CIPP evaluation model are in the following order: evaluation of practice teaching results (0.3814) > evaluation of practice teaching process (0.2834) > evaluation of practice teaching input (0.1735) > evaluation of practice teaching background (0.1590). The results of the application of the evaluation system fully proved the rationality of the indicators constructed in this paper, which can provide a basis for the reform and innovation of Civic and Political Education.
Application of Hierarchical Protection Security Mechanism in Database to Party Building in Colleges and Universities
Authors: Xue Jun 
Published: June 2024

Abstract
With the deepening of digital development, the security protection of databases becomes more important while carrying out the digital transformation of party-building work in colleges and universities. In this study, for the database security in the party building work in colleges and universities, the protection framework of database security protection and the database hierarchical protection system based on the party building work in colleges and universities are constructed according to the needs of data hierarchical security protection. Then, on the basis of the intrusion tolerance mechanism, a database security monitoring system is established using a voting algorithm, and a multilevel information access control method is proposed for hierarchical protection. On this basis, an encryption protection mechanism based on the RSA algorithm is proposed for the sensitive information in the database of university party-building work. Through the empirical analysis of the security mechanism of counterattack protection of the university party building database, it is known that the security of the system in this paper and the probability of normal operation are both greater than 99%, and the likelihood of danger is 0.000002%. In the application of party building work, the data security of the three kinds of business is still maintained above 99.6%. The encryption time consumed is not more than 525ms, which shows that the database hierarchical protection security mechanism system constructed in this paper can meet the requirements of database security in the party building work in colleges and universities and provide a reliable guarantee for the security of the party building work database.
Research on Risk Prediction of New Energy Photovoltaic Power Projects Oriented to Extreme Weather Conditions
Authors: Qiao Yanjun , Wang Zhijian , Yu Junfeng , Hao Shouli , Dong Zhengmao , Fan Ke 
Published: June 2024

Abstract
In light of the increasing frequency of extreme weather events—including persistent low temperatures, rain, snow, freezing conditions, and haze—globally, the vulnerability of photovoltaic (PV) power projects to severe weather has escalated. This study presents a comprehensive analysis of the current construction practices and associated risks of PV power projects. Subsequently, it introduces two innovative risk prediction models: the gray risk prediction model and the CEMD-LSTM risk prediction model, which is enhanced by an improved k-shape clustering algorithm. These models are specifically designed for assessing the risks of new energy PV power projects under extreme weather conditions. To validate the effectiveness of these models, simulation tests are conducted, offering insights into the risk dynamics of new energy PV power projects in adverse meteorological scenarios. The assessment results show that the absolute error of the prediction results of the gray prediction model is large. The absolute value of the absolute error reaches a maximum of 8.0×104 W. The fluctuation of the prediction value is huge, so it is not possible to accurately carry out the risk prediction. The values of MAPE and MSE of the CEMD-LSTM model are 3.26% and 0.21, respectively, and the rate of identification of the risk level of the CEMD-LSTM model is 98.25%, which is higher than 93.48% of the LSTM model. The CEMDLSTM model is capable of predicting the risk of PV power projects with accuracy, and the recognition accuracy of the risk level is superior to that of the LSTM model. This study provides lessons and references for risk prediction of PV power projects in extreme weather conditions.
Innovative Teaching Strategies for Civics Courses Facing Virtual Reality
Authors: Sun Songsong 
Published: June 2024

Abstract
This paper innovatively applies the teaching system integrating virtual reality and intelligent voice interaction to Civics classroom teaching. Using 3ds Max modeling, I can build a multimedia blackboard, code display table, characters, and other three-dimensional teaching models. Rendering optimization of the model and the scene is carried out to construct a real and rich teaching scene. Viterbi technology realizes the search of keywords in the speech through the process of continuous speech recognizer, keyword searcher, confidence confirmation, and keyword confirmation in order to discover intelligent voice interaction. The results of the Civics test, questionnaire, and structural modeling show that there is a significant difference between the experimental group’s performance and the control group in terms of the total performance (T=2.367, P=0.032), the vividness and intuition of the teaching content (X²=5.743, P=0.022) and the cognitive load (T=0.78, P=0.000<0.05). For all dimensions, the immersive VR environment scored higher than the interactive VR environment. The p-values of perceived usefulness and want-to-use attitude are 0.022 and 0.024, respectively. Based on this, the Civics teaching system of virtual reality and intelligent voice interaction can effectively improve students’ performance, classroom satisfaction, and acceptance.
The Application of Digital Technology in the Conservation of Traditional Cultural Landscapes
Authors: Xiong Shuhui , Xie Meiling , Xu Yi 
Published: June 2024

Abstract
The traditional digital protection system lacks the extraction and display of the landscape based on spatial information technology, resulting in an incomplete digital archive of the conventional landscape constructed. To optimize the traditional cultural landscape protection strategy, this paper constructs a specific technical route using digital technology. Inclined photogrammetry and 3D laser scanning technology are used to carry out 3D modeling of regional traditional cultural landscapes, and the combination of the results of the two can be used to visualize the spatial layout of the landscape in the protection of traditional cultural landscapes. Based on the 3D model, the landscape space was analyzed using spatial syntax. According to the spatial syntax, the integration degree, clustering coefficient, control degree, and average depth of the sight line of the landscape in City D were analyzed. The comprehensibility value of the landscape space in City D was 0.26, and the landscape identifiability was not high. The development of overall space and local space is inconsistent, and the ratio of global integration degree to local integration degree, R², is 0.45, with a low value and average correlation. By analyzing the specific situation of the landscape and constructing the resistance surface, we examine the various resistance factors faced by the protection of traditional cultural landscapes. The analysis results indicate that rural roads and settlements are more suitable for the construction of cultural landscapes.
Research on the Dissemination Strategies of Traditional Culture in Anime Illustrations and Picture Books - Based on the Application of Information Diffusion Models
Authors: Zhang Wangzhe , Chen Min 
Published: June 2024

Abstract
Animation illustrations and picture books themed on traditional culture play a crucial role in its dissemination. This paper analyzes the present scenario of traditional cultural transmission via these mediums and introduces an information diffusion model as the theoretical framework for subsequent questionnaire design and analysis. The model incorporates the theory of network dimensional force and information diffusion resistance to depict the diffusion process within cyberspace, accounting for the constraints imposed by information resistance. This results in a model that accurately mirrors the realities of the network environment. The study further examines the velocity and distortion in information diffusion, exploring the model’s diffusion scale and laws. In assessing the diffusion effectiveness through a questionnaire on cartoon illustrations and picture books, findings indicate a moderate inclination towards purchases, with average willingness and mean purchase values at 3.32 and 3.35, respectively. The analysis reveals that the pivotal factors affecting dissemination include content knowledge, thematic significance, and channel preferences, all scoring an average of 4 in terms of mean and median values. However, the overall satisfaction with the dissemination of traditional culture remains moderate among respondents. To enhance the dissemination effectiveness, it is imperative to advance the construction of conventional cartoon-quality illustrations and picture books, thereby fostering a more robust propagation of traditional culture.
Construction of a forecasting model for tourist attraction footfall
Authors: Cui Jianfeng , Li Yun , Li Cuixia 
Published: June 2024

Abstract
The accurate prediction of visitor flow in tourist attractions presents a significant challenge within the tourism industry and holds substantial reference value for both park management and tourist experiences. Addressing this, our study develops a predictive model specifically tailored to tourist sites using trajectory data. Recognizing the limitations of current algorithms in identifying accurate stay regions, we utilize a segmentation method predicated on change points. This approach integrates a Back Propagation (BP) neural network with the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm to enhance the precision of stay region identification. Building upon this foundation, we further incorporate Gaussian fitting techniques to construct a comprehensive crowd prediction model for tourist attractions. The research results verify that the model in this paper can estimate the passenger flow better by predicting the passenger flow of Zhongshan Park in city A. It is found that when the passenger flow is below 15000, the passenger flow is less. When the passenger flow is larger in the range of 15000~30000, and when the passenger flow is more than 30000, it will be saturated and crowded, and the model constructed in this paper has a more accurate passenger flow. The model built in this paper has a high accuracy of people flow prediction value.