bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluasi Praktik Kependidikan (PK) Mahasiswa Prodi PJKR di Masa Pandemi Covid-19
Authors: Andrianto Sigit Dwi , Sunardi Jaka , Yudanto Yudanto , Pambudi Aris Fajar , Rizkyanto Willy Ihsan 
Published: October 2022

Praktik Kependidikan (PK) merupakan program wajib tempuh bagi mahasiswa prodi kependidikan untuk menyiapkan diri menjadi guru profesional, namun PK pada dua tahun belakangan tidak dapat berjalan sebagaimana mestinya akibat adanya pandemi. Tujuan dari penelitian ini adalah untuk mengevaluasi penyelenggaraan PK Mahasiswa Program Studi Pendidikan Jasmani Kesehatan dan Rekreasi (PJKR) di Masa Pandemi Covid. Langkah-langkah teknik pengumpulan data meliputi usaha membatasi penelitian, mengumpulkan informasi melalui observasi, wawancara, baik yang terstruktur maupun tidak. Penelitian menggunakan metode CIPP. Context: 1) Latar Belakang Program mendapatkan nilai rata-rata 3,44 kategori baik; 2) Pembinaan mendapatkan nilai rata-rata 3,53 kategori baik; dan 3) Tujuan Program Pembinaan mendapatkan nilai rata-rata 3,61 kategori Baik. Input: 1) Kualifikasi Guru pamong dengan nilai rata-rata 3,63 kategori Baik, 2) Mahasiswa PK nilai rata-rata 3,48 kategori Baik, 3) Sarana dan Prasarana nilai rata-rata 3,59 kategori Baik, 4) Dukungan dari orangtua nilai rata-rata 3,72 kategori Baik. Sedangkan pada indikator 5) Pendanaan nilai rata-rata 3,24 kategori Cukup Baik. Process: 1) Pelaksanaan Program Sekolah nilai rata-rata 3,47 kategori Baik, dan 2) Monitoring nilai rata-rata 3,38 dengan kategori Baik. Product: Indikator Prestasi mendapatkan skor rata-rata nilai 1,67 kategori Tidak Baik. Educational Practice (PK) is a mandatory program for students of education study programs to prepare themselves to become professional teachers, but PK in the last two years has not been able to run properly due to the pandemic. The purpose of this study was to evaluate the implementation of Educational Practices (EP) for Students of the Physical Education Health and Recreation Study Program (PEHR) during the Covid Pandemic Period. The steps of data collection techniques include efforts to limit research, collect information through observation, interviews, both structured and unstructured. The study used the CIPP method. Context: 1) Program Background got an average score of 3.44; 2) Coaching gets an average score of 3.53; and 3) The objective of the Coaching Program is to get an average score of 3.61, all three of which are in the Good category. Inputs: 1) Qualifications of Civil Service Teachers with an average score of 3.63; 2) EP students have an average score of 3.48; 3) Facilities and infrastructure with an average score of 3.59; 4) Support from parents with an average score of 3.72, all four of them were in a Good category. Meanwhile, indicator 5) Funding has an average value of 3.24 in the Fairly Good category. Process: 1) Implementation of School Programs with an average score of 3.47 in the Good category, and 2) Monitoring an average score of 3.38 in the Good category. Product: Achievement Indicators get an average score of 1.67 in the Bad category.
Updating the Data on Malaria Vectors in Malaysia: Protocol for a Scoping Review
Authors: Ali Rafidah , Wan Mohamad Ali Wan Najdah , Wilson Putit Perada 
Published: October 2022

Background
Malaria is still a public health threat. From 2015 to 2021, a total of 23,214 malaria cases were recorded in Malaysia. Thus, effective intervention and key entomological information are vital for interrupting or preventing malaria transmission. Therefore, the availability of malaria vector information is desperately needed.

Objective
The objective of our study is to update the list of human and zoonotic malaria vectors in Malaysia. This work will include (1) the characterization of the key behavioral traits and breeding sites of malaria vectors and (2) the determination of new and potential malaria vectors in Malaysia. The findings of our scoping review will serve as decision-making evidence that stakeholders and decision makers can use to strengthen and intensify malaria surveillance in Malaysia.

Methods
The scoping review will be conducted based on the following four electronic databases: Scopus, PubMed, Google Scholar, and Science Direct. A search strategy was conducted for articles published from database inception to March 2022. The criteria for article inclusion were any malaria vector–related studies conducted in Malaysia (with no time frame restrictions) and peer-reviewed studies. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) will be used to guide our systematic approach. Data from published research literature will be extracted by using a standardized data extraction framework, including the titles, abstracts, characteristics, and main findings of the included studies. To assess the risk of bias, articles will be screened independently by 2 reviewers, and a third reviewer will make the final decision if disagreements occur.

Results
The study commenced in June 2021, and it is planned to be completed at end of 2022. As of early 2022, we identified 631 articles. After accessing and evaluating the articles, 48 were found to be eligible. Full-text screening will be conducted in mid-2022. The results of the scoping review will be published as an open-access article in a peer-reviewed journal.

Conclusions
Our novel scoping review of malaria vectors in Malaysia will provide a comprehensive evidence summary of updated, relevant information. An understanding of the status of Anopheles as malaria vectors and the knowledge generated from the behavioral characteristics of malaria vectors are the key components in making effective interventions for eliminating malaria.

International Registered Report Identifier (IRRID)
DERR1-10.2196/39798
The Feasibility and Acceptability of an mHealth Conversational Agent Designed to Support HIV Self-testing in South Africa: Cross-sectional Study
Authors: Ntinga Xolani , Musiello Franco , Keter Alfred Kipyegon , Barnabas Ruanne , van Heerden Alastair 
Published: October 2022

Background
HIV testing rates in sub-Saharan Africa remain below the targeted threshold, and primary care facilities struggle to provide adequate services. Innovative approaches that leverage digital technologies could improve HIV testing and access to treatment.

Objective
This study aimed to examine the feasibility and acceptability of Nolwazi_bot. It is an isiZulu-speaking conversational agent designed to support HIV self-testing (HIVST) in KwaZulu-Natal, South Africa.

Methods
Nolwazi_bot was designed with 4 different personalities that users could choose when selecting a counselor for their HIVST session. We recruited a convenience sample of 120 consenting adults and invited them to undertake an HIV self-test facilitated by the Nolwazi_bot. After testing, participants completed an interviewer-led posttest structured survey to assess their experience with the chatbot-supported HIVST.

Results
Participants (N=120) ranged in age from 18 to 47 years, with half of them being men (61/120, 50.8%). Of the 120 participants, 111 (92.5%) had tested with a human counselor more than once. Of the 120 participants, 45 (37.5%) chose to be counseled by the female Nolwazi_bot personality aged between 18 and 25 years. Approximately one-fifth (21/120, 17.5%) of the participants who underwent an HIV self-test guided by the chatbot tested positive. Most participants (95/120, 79.2%) indicated that their HIV testing experience with a chatbot was much better than that with a human counselor. Many participants (93/120, 77.5%) reported that they felt as if they were talking to a real person, stating that the response tone and word choice of Nolwazi_bot reminded them of how they speak in daily conversations.

Conclusions
The study provides insights into the potential of digital technology interventions to support HIVST in low-income and middle-income countries. Although we wait to see the full benefits of mobile health, technological interventions including conversational agents or chatbots provide us with an excellent opportunity to improve HIVST by addressing the barriers associated with clinic-based HIV testing.
The Agreement Between Virtual Patient and Unannounced Standardized Patient Assessments in Evaluating Primary Health Care Quality: Multicenter, Cross-sectional Pilot Study in 7 Provinces of China
Authors: Zeng Minrui , Cai Yiyuan , Cao Jin , He Qianyu , Wang Xiaohui , Lu Yun , Liang Huijuan , Xu Dong , Liao Jing 
Published: October 2022

Background
The unannounced standardized patient (USP) is the gold standard for primary health care (PHC) quality assessment but has many restrictions associated with high human and resource costs. Virtual patient (VP) is a valid, low-cost software option for simulating clinical scenarios and is widely used in medical education. It is unclear whether VP can be used to assess the quality of PHC.

Objective
This study aimed to examine the agreement between VP and USP assessments of PHC quality and to identify factors influencing the VP-USP agreement.

Methods
Eleven matched VP and USP case designs were developed based on clinical guidelines and were implemented in a convenience sample of urban PHC facilities in the capital cities of the 7 study provinces. A total of 720 USP visits were conducted, during which on-duty PHC providers who met the inclusion criteria were randomly selected by the USPs. The same providers underwent a VP assessment using the same case condition at least a week later. The VP-USP agreement was measured by the concordance correlation coefficient (CCC) for continuity scores and the weighted κ for diagnoses. Multiple linear regression was used to identify factors influencing the VP-USP agreement.

Results
Only 146 VP scores were matched with the corresponding USP scores. The CCC for medical history was 0.37 (95% CI 0.24-0.49); for physical examination, 0.27 (95% CI 0.12-0.42); for laboratory and imaging tests, –0.03 (95% CI –0.20 to 0.14); and for treatment, 0.22 (95% CI 0.07-0.37). The weighted κ for diagnosis was 0.32 (95% CI 0.13-0.52). The multiple linear regression model indicated that the VP tests were significantly influenced by the different case conditions and the city where the test took place.

Conclusions
There was low agreement between VPs and USPs in PHC quality assessment. This may reflect the “know-do” gap. VP test results were also influenced by different case conditions, interactive design, and usability. Modifications to VPs and the reasons for the low VP-USP agreement require further study.
Phát triển hệ thống nuôi siêu thâm canh tôm thẻ chân trắng (Litopenaeus vannamei) trong hệ thống tuần hoàn kết hợp đa loài, thích ứng với biến đổi khí hậu
Authors: Trần Ngọc Hải , Lê Quang Viết 
Published: October 2022

Báo cáo này tổng hợp những thành công trong việc nghiên cứu phát triển hệ thống nuôi siêu thâm canh tôm thẻ chân trắng trong hệ thống tuần hoàn kết nuôi hợp đa loài, thích ứng với biến đổi khí hậu đã được thực hiện tại Khoa thủy sản từ 2020 đến nay. Kết quả nghiên cứu đã xác định được độ mặn thích hợp cho nuôi tôm thẻ từ 15 – 25‰, mật độ tôm nuôi trong khoảng 200 – 300 con/m3 và lượng giá thể thích hợp từ 30 đến 60 L (tương đương 3,75 – 7,5 m3 diện tích bề mặt giá thể/m3 bể nuôi). Kết quả ứng dụng ở quy mô thương mại, trên hệ thống bể nuôi 40m3 thả nuôi với mật độ 300 con/m3, sau 84 ngày nuôi tôm đạt khối lượng trung bình 16,68 – 18,20 g/con, tỷ lệ sống đạt 96,0 – 97,5%, năng suất đạt 4,42 – 4,48 kg/m3 và FCR từ 1,10 – 1,19. Đối với quy mô ao đất lót bạt (500 m3/ao), thả nuôi với mật độ dao động từ 240 – 320 con/m3, sau 84 ngày nuôi tôm đạt khối lượng từ 18,18 – 22,73 g/con,...
Pendayagunaan Zakat Profesi di Unit Pengumpulan Zakat (UPZ) Yayasan Keluarga Muslim Wilmar Dumai
Authors: Putri Intan Novianti , Alhidayatillah Nur 
Published: October 2022

Penelitian ini bertujuan untuk mengetahui bagaimana sebenarnya pendayagunaan zakat profesi yang dilakukan oleh UPZ Yayasan Keluarga Muslim Wilmar Dumai agar dapat membantu perekonomian para mustahiq di Kecamatan Medang Kampai. Dalam penelitian ini penulis menggunakan metode penelitian deskriptif kualitatif dan teknik pengumpulan data meliputi observasi lapangan, wawancara bersama informan, dan dokumentasi. Hasil penelitian menunjukkan bahwa dalam proses pendayagunaan zakat oleh UPZ Yayasan Keluarga Muslim Wilmar Dumai memperhatikan beberapa indikator penting dalam tujuan pendayagunaan zakat. Indikator pertama yaitu dana zakat telah dimanfaatkan sebagai sarana pemberdayaan ekonomi. Hal ini sesuai dengan apa yang penulis temukan di lapangan mengenai pemanfaatan dana zakat untuk membantu perekonomian mustahiq. Kedua, pendayagunaan dana zakat juga dimanfaatkan sebagai bantuan modal usaha, misalnya berupa pemberian modal usaha dagang harian ataupun penyediaan alat dan barang kebutuhan mustahiq untuk memulai usahanya. Ketiga yaitu pendayagunaan zakat yang diprogramkan untuk membuka lapangan pekerjaan. Keempat, pendayagunaan zakat yang difungsikan sebagai media pembinaan sumber daya manusia.
Comparative analysis of CR of ideological and political education in different regions based on improved fuzzy clustering
Authors: Chen Hongwei 
Published: October 2022

Abstract
Vigorously developing ideological and political education (IPE) is the only way to boost talent training, and scientific and technological progress, and lead to the upgrading of the economic structure. Therefore, by analysing the internal relationship between the current social and economic growth and the development of IPE in colleges, this article introduces the investment of IPE into the social production function model where the gravity search method is used to optimise fuzzy clustering, and the classified data sets of each province in China are determined by genetic algorithm. In addition, the calculation model of contribution rate (CR) of IPE in different regions based on an improved fuzzy clustering algorithm is established, and the influence of IPE on regional economic development in eastern, western and central regions is compared and analysed, which is helpful to realise the optimal allocation of educational resources in China.
Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach
Authors: Zalasiński Marcin , Laskowski Łukasz , Niksa-Rynkiewicz Tacjana , Cpałka Krzysztof , Byrski Aleksander , Przybyszewski Krzysztof , Trippner Paweł , Dong Shi 
Published: October 2022

Abstract
In the verification of identity, the aim is to increase effectiveness and reduce involvement of verified users. A good compromise between these issues is ensured by dynamic signature verification. The dynamic signature is represented by signals describing the position of the stylus in time. They can be used to determine the velocity or acceleration signal. Values of these signals can be analyzed, interpreted, selected, and compared. In this paper, we propose an approach that: (a) uses an evolutionary algorithm to create signature partitions in the time and velocity domains; (b) selects the most characteristic partitions in terms of matching with reference signatures; and (c) works individually for each user, eliminating the need of using skilled forgeries. The proposed approach was tested using Biosecure DS2 database which is a part of the DeepSignDB, a database with genuine dynamic signatures. Our simulations confirmed the correctness of the adopted assumptions.
Semantic Hashing for Fast Solar Magnetogram Retrieval
Authors: Grycuk Rafał , Scherer Rafał , Marchlewska Alina , Napoli Christian 
Published: October 2022

Abstract
We propose a method for content-based retrieving solar magnetograms. We use the SDO Helioseismic and Magnetic Imager output collected with SunPy PyTorch libraries. We create a mathematical representation of the magnetic field regions of the Sun in the form of a vector. Thanks to this solution we can compare short vectors instead of comparing full-disk images. In order to decrease the retrieval time, we used a fully-connected autoencoder, which reduced the 256-element descriptor to a 32-element semantic hash. The performed experiments and comparisons proved the efficiency of the proposed approach. Our approach has the highest precision value in comparison with other state-of-the-art methods. The presented method can be used not only for solar image retrieval but also for classification tasks.
The Eurasian security system: a preliminary framework for understanding the emerging Sino–Russian relationship
Authors: Kukkola Juha , Puranen Matti 
Published: October 2022

Abstract
After the Russian invasion of Ukraine, Sino–Russian relations have rapidly become a hotly debated topic within the fields of strategic studies and international relations. In this article, we propose a preliminary theoretical model for analysing the Russian–Chinese relation as a complex security system. By security system, we mean a system consisting of two or more elements (states) with shared and interdependent security concerns and interests. From the shared understandings of security of the elements, the system emerges with its emergent attributes and properties. After providing its theoretical and conceptual framework based on recent ideas in complex system theories, the article narrates how the Eurasian security system began to develop after the restructuring of global and Eurasian security architectures following the collapse of the Soviet Union in 1991. During the following decades, China and Russia developed mutually homogenous sets of perceived security threats and interests, and later in the post 2014-era, these interests converged to establish the Eurasian security system.
Multivariate Nonconformity Analysis for Paving Stone Manufacturing Process Improvement
Authors: Knop Krzysztof 
Published: October 2022

Abstract
The article presents the result of multidimensional analysis of ‘Behaton’ type paving stones’ nonconformities for improving the production process by improving the quality of the final product. Statistical tools, including SPC tools and quality tools, both basic and new, were used to analyse nonconformities in the spatial-temporal system, i.e. according to the type of nonconformity and according to the examined months. The purpose of using the data analysis tools was to thoroughly analyse the cases of nonconformities of the tested product, obtain information on the structure of these nonconformities in the various terms, and information on the stability and predictability of the numerical structure of nonconformity over time. Potential causes influencing a large percentage of paving stone defects were identified, factors and variables influencing the most frequently occurring nonconformities were determined, and improvement actions were proposed. As a result of the multidimensional and multifaceted analyses of paving stone nonconformities, it was shown that in the structure of nonconformity there were cases that were unusual in terms of the number of occurrences, and the lack of stability in the number of nonconformities in terms of the examined months was proven. Three critical nonconformities of the tested product were identified: side surface defects, vertical edge defects, and scratches and cracks. It was determined that the most important factor causing a large percentage of nonconformity was the time of shaking and vibrating the concrete, which was significantly related to the technical condition of the machines, and the most important reason for a large percentage of paving stone nonconformity was the lack of efficient maintenance. Machine, method, and man turned out to be the most important categories of problem factors and specific remedial actions were proposed. A multidimensional look at the structure of paving stone nonconformity as well as the factor and causes causing them has brought a lot of valuable information for the management staff of the analysed company, thanks to which it is possible to improve the production process and improve the quality of the final product.
CFD Optimisation of the Longitudinal Volume Distribution of a Ship’s Hull by Constrained Transformation of the Sectional Area Curve
Authors: Kraskowski Marek 
Published: October 2022

Abstract
The paper presents a proposal for a formalised approach to hull shape optimisation with respect to total resistance, by fine-tuning longitudinal volume distribution. An algorithm for automated modification of the hull is presented, allowing for varying the sectional area distribution with a negligible influence on the resulting displacement. Computational fluid dynamics (CFD) solver STAR-CCM+ and computer computer-aided design (CAD) software NX were used to search the optimal volume distribution of selected parent shapes, with respect to total resistance. The bow part and the aft part were optimised separately. The resulting resistances of the selected optimal shapes were then verified by means of scale model tests, realised in the towing tank at the Maritime Advanced Research Centre (CTO) S.A. A noticeable gain in total resistance was achieved and confirmed by experimental tests. The proposed approach seems to be a promising method for relatively quick parametric optimisation of the designed hull shapes; it is also applicable for generic CFD optimisation studies.
Flow Field Characteristic Analysis of Cushion System of Partial Air Cushion Support Catamaran in Regular Waves
Authors: Yang Jinglei , Sun Han-bing , Li Xiao-wen , Liu Xin 
Published: October 2022

Abstract
In order to study the flow field characteristics of cushion system of partial air cushion support catamaran (PACSCAT) in waves, an analysis was carried out involving flexible treatment on the bow and stern air seals to simulate air seal shape under test conditions by means of computational fluid dynamics method and fluid structure interaction (FSI) method. On this basis, the pressure conditions of the air cushion chamber and the pressurized chamber at different wavelengths and different speeds are studied and compared with experimental results. The experimental results show that: for the air cushion pressure, the nonlinear characteristics of the numerical calculation results are more subtle than the experimental values, after linear transformation, the amplitudes of the experimental values are obviously greater than the calculated values after linear transformation, but the average values are not much different; At low speed of 2.0m/s, the spatial pressure distribution of the pressurized chamber and the air cushion chamber are uniformly distributed, at high speed of 3.6m/s, except for a certain pressure jump occurred in the air cushion chamber near the stern air seal, the pressure in other spaces is also evenly distributed, it proves that the pressurized chamber type of air intake can effectively meet the air cushion pressure balance.
Jacking and Energy Consumption Control Over Network for Jack-Up Rig: Simulation and Experiment
Authors: Do Viet-Dung , Dang Xuan-Kien , Tran Tien-Dat , Pham Thi Duyen-Anh 
Published: October 2022

Abstract
Oil and gas projects differ from regular investment projects in that they are frequently large-scale, categorised as vital national projects, highly technological, and associated with significant risks. Drilling rigs are a crucial component of the oil and gas sector and the majority of the systems and equipment aboard drilling rigs are operated automatically. Consequently, it is crucial to address the topic of an advanced control theory for off-shore systems. Network technology connected to control is progressively being used to replace outdated technologies, together with other contemporary technologies. In this study, we examine how to adapt a networked control jacking system to the effects of internal and external disturbances with a time delay, using a Fuzzy controller (FC)-based particle swarm optimisation. To demonstrate the benefit of the proposed approach, the developed Fuzzy Particle Swarm Optimisation (FPSO) controller is compared with the fuzzy controller. Finally, the results from simulations and experiments utilising Matlab software and embedded systems demonstrate the suitability of the proposed approach.