bluuebunny/crossref_metadata_2025_split huggingface dataset:
Why curling stones curl?- modelling and numerical experiment -
Authors: Ohashi Tetsuya 
Published: July 2022

Abstract
In curling, a sport played on ice, players release stones on the ice sheet at initial speeds of translation and rotation aiming to a target location with curled trajectory. To elucidate why the stones curl, we focus on the fact that asperities on the leading and trailing parts of the bottom of stone pass through the same spot on the ice surface twice within a short period of time. We also consider the fact that the ice is at a very high temperature close to its melting point and the recovery from the damaged state after the microscopic fracture and plastic deformation by the friction takes place quickly. Theoretical models for the magnitude and direction of the friction force between the stone and ice are developed and the motion of the stone were numerically analysed. Contribution of several factors that may be involved in friction on ice surfaces was investigated in detail. Analysis results were compared with experimental ones in literature and some were found to be in good agreement.
Deep and Contextually Engineered Features for Metaphor Detection
Authors: Razali Md Saifullah , Halin Alfian Abdul , Chow Yang-Wai , Norowi Noris Mohd , Doraisamy Shyamala 
Published: July 2022

Abstract
The focal point of this work is to automatically detect metaphor instances in short texts. It is the study of extricating the most optimal features for the task by using a deep learning architecture combined with carefully handcrafted contextual features. All of these will be discussed in detail in this paper. It is also found that a few sets performed well when they are used independently, but the others not so much. However, even the latter sets become very useful after the combination process with the former sets. Finally, the combined feature sets undergo the classification using well-known machine learning classification algorithms. It is decided that all the five algorithms are used for the purpose of comparison. The best algorithm for this task is found to be Support Vector Machine (SVM). The outcome of all the experiments are good in all the metrics used. Furthermore, result comparison in terms of F1-measure to existing works in the same domain is compiled and stated in this paper. The comparison on each feature set is also stated as additional information.
Assessment of the Consistency of Categorical Features within the DZHK Biobanking Basic Set
Authors: Yusuf Khalid , Tahar Kais , Sax Ulrich , HOFFMANN Wolfgang , KREFTING Dagmar 
Published: July 2022

Abstract
Data quality in health research encompasses a broad range of aspects and indicators. While some indicators are generic and can be calculated without domain knowledge, others require information about a specific data element. Even more complex are indicators addressing contradictions, that stem from implausible combinations of multiple data elements. In this paper, we investigate how contradictions within interdependent categorical data can be identified and if they give additional information about possible quality issues, their cause, and mitigation options. The 19 data elements that represent four biosample types including their pre-analytic states within the DZHK Biobanking basic set are exported to the CDISC Operational Data Model (ODM), transformed and loaded into a tranSMART instance. Through the implementation of a data quality assessment workflow as a SmartR plug-in, statistical information about the domain-specific consistency of interdependent values are retrieved, assessed, and visualized. Data quality indicators have been selected for the assessment according to common recommendations found in the literature. Different contradictions could be discovered in the dataset including mismatch of interdependent values in the pre-analytic states of blood and urine samples, as well as primary and aliquoted samples. The overall assessment rating shows that 99.61% of the interdependent values are free of contradictions. However, measures within the EDC design to avoid contradictions may result in overestimated missing rates in automatic, item-based quality assessment checks. Through consistency checks on interdependent categorical features, we demonstrated that consistency flaws can be found in the categorical data of biobanking metadata and that they can help to detect issues in the data entry process. Our approach underscores the importance of domain knowledge in the definition of the consistency rules but also knowledge about the EDC implementation of such consistency rules to consider the impact on item-based quality indicators.
Chinese National Consensus Committee of Experts on Kawasaki Disease and Chinese Journal of Contemporary Pediatrics: The expert consensuses on Intravenous Immunoglobulin, aspirin, and Glucocorticoid
Authors: Shuying Ren , Fangming Deng , Zhongdong Du , Xiaodong Yang , Lijian Xie , Hong Wang , Fuyong Jiao 
Published: July 2022

Abstract
Kawasaki disease (KD) is an acute vasculitis with unknown etiology usually occurring in children under 5 years old. It is one of the common acquired heart diseases in children and can cause serious complications such as coronary injury. Although Intravenous immunoglobulin (IVIG) combined with oral aspirin (Asp) is currently recognized as the most effective treatment in KD acute stage and also the first-line treatment to prevent the cardiovascular complications of KD, Glucocorticoid (GC) is mainly used for KD patients with the high risk of Coronary artery aneurysm, no immunoglobulin response and confirmed Coronary artery aneurysm (CAA). There are already consensus guidelines on the diagnosis and treatment of KD at home and abroad, but there are inconsistent opinions in the literature on the mechanism, optimal timing, and dosage of drug treatment for KD. This article will summarize the three consensuses. This review will summarize three consensus items.
Prognostic value of the preoperative fibrinogen-to-prealbumin ratio in patients with resectable pancreatic cancer
Authors: li zhiwei 
Published: July 2022

Abstract

Background and purpose
Systemic inflammation, malnutrition, abnormal blood coagulation, and immunosuppression play important roles in the occurrence and development of tumors. This study aims to compare the fibrinogen-to-prealbumin ratio (FPR), fibrinogen-to-albumin ratio (FAR), and fibrinogen-to-mean platelet volume ratio (FMR) as predictors of the prognosis of patients with resectable PC.
Methods
Using retrospective research methods, 318 patients were enrolled, whom were divided into two groups, namely, the training set and the validation set. The binary logistic test was used to analyse the joint predictive value. The Cox proportional hazards regression model was used to analyse the influence of multiple factors on prognosis, and the Kaplan–Meier method was used to draw survival curves.
Results
The survival curve showed that patients with resectable PC with low preoperative FPR (P = 0.043) and low FAR (P = 0.019) had significantly longer overall survival (OS); Correlation analysis showed that FPR is related to tumour location (P < 0.001), FAR (P < 0.001), and FMR (P < 0.001). The t-ROC analysis showed that the combination of FPR and CA19-9 has a greater predictive value for the prognosis of patients with resectable PC. In subgroup analysis according to stage, FPR was more predictive of the prognosis of patients with stage II PC.
Conclusion
FPR and FAR have a consistent predictive effect on the prognosis of patients with resectable PC, but FPR has a stronger predictive effect on prognosis. At the same time, FPR combined with CA19-9 has better predictive value for patients with resectable PC.
An improved wavelet threshold method and its application in seismic data denoising
Authors: Qin Feilong , Liu Jian , Cheng Yali , Lu LiulI 
Published: July 2022

Abstract
The collected field seismic data is disturbed by random noise, which is not conducive to seismic data interpretation, the noise must be removed from seismic data. Soft and hard threshold methods of wavelet transform can eliminate this noise of seismic data, but they have some shortcomings in signal denoising. So this paper proposes an improved threshold method to seismic data denoising. The improved threshold method can eliminate random noise effectively, which is evaluated by means of root mean square error (RMSE) and signal-to-noise ratio (SNR). Furthermore, according to the decomposition layers of wavelet transform, the selection of reasonable threshold value is obtained, and the simulation results proved that the improved method can well remove noise and the wavelet basis function of wavelet transform is sym3 and the best decomposition level of the new method is 3 layers. Using the improved threshold method to remove noise in actual seismic data, the results show that lots of noise is removed, and the resolution of seismic data profile after noise reduction is high and the texture of it is clear, especially, the effect of the improved threshold method in seismic data denoising is better than that of soft and hard threshold methods.
On Non-Penalization SEMDOT Using Discrete Variable Sensitivities
Authors: Fu Yun-Fei , Long Kai , Rolfe Bernard 
Published: July 2022

Abstract
Density-based topology optimization algorithms, such as solid isotropic material with penalization (SIMP), pursue solid/void solutions to yield distinct topologies, however blurry or zigzag boundaries are unavoidable. By contrast, newly developed elemental volume fraction based algorithms pursue solid/void grid points, and the intermediate elements, consisting of both solid and void grid points, are artificially defined as boundary elements through which smooth boundaries can be formed. Smooth-Edged Material Distribution for Optimizing Topology (SEMDOT) algorithm is a typical elemental volume fraction based method developed based on the SIMP framework. However, the current version of SEMDOT needs to use the material penalization scheme in SIMP to facilitate the distinction of solid, void, and boundary elements. This framework restriction has motivated the development of the non-penalized SEMDOT algorithm to establish the physically meaningful relation between the elemental volume fraction and its material property. This study adopts discrete variable sensitivities for solid, void and assumed boundary elements instead of continuous variable sensitivities to eliminate the material penalization scheme and obtain efficient smooth topological layouts. The efficiency, effectiveness, and general applicability of the proposed non-penalized SEMDOT algorithm are demonstrated in three case studies containing compliance minimization, compliant mechanism design, and heat conduction problems, as well as thorough comparisons with penalized SEMDOT. The numerical results show that the convergency of non-penalized SEMDOT is stronger than penalized SEMDOT, and improved results can be obtained by non-penalized SEMDOT.
Global Weak Solutions for 1D Compressible Navier-Stokes/Allen-Chan System with Vacuum
Authors: Li Yinghua , Yan Yuanxiang , Ding Shijin , Chen Gaoyang 
Published: July 2022

Abstract
In this paper, we consider a diffffuse interface model coupled by Navier-Stokes equaitons and Allen-Cahn equations. We study 1D compressible system with free boundary when the initial density is assumed to be compactly supported and connects to vacuum continuously. The global existence of weak solutions is established by using line method.
Perspectives through a Two-Slit Camera
Authors: Crannell Annalisa , Abraham Ojima , Dai Jihang , Gong Yike , McClain Rebecca , Ramaswamy Nithya , Reisner: Charles , Shinn Evan , Wang Shen 
Published: July 2022

Abstract
We give geometric constructions for drawing the images of cubes as seen in a two-slit camera: an apparatus for which, instead of having a single barrier with a pinhole, there are a pair of barriers each with a slit allowing light to pass through. Although a two-slit camera is an example of a “generalized linear camera”, the images of lines are often hyperbolas. Nonetheless, we can use ruler-and-compass constructions to draw the images of cubes in one-, two-, and three-point perspective.
Hubungan karakter semangat kebangsaan terhadap hasil belajar siswa di SMPN 1 Muaro Jambi
Authors: Pratiwi Nur Ika Sandi 
Published: July 2022

Tujuan dari penelitian ini adalah untuk mengetahui bagaimana hubungan karakter semangat kebangsaan siswa dengan hasil belajar siswa di SMPN 1 Muaro Jambi. Jenis penelitian ini adalah penelitian kuantitatif dengan menggunakan metode asosiatif kuantitatif jenis korelasional. Teknik pengumpulan data dalam penelitian ini adalah dengan menggunakan angket atau kuesioner dan soal yang dibagikan kepada siswa dengan sampel 35 orang yaitu siswa kelas VII SMPN 1 Muaro Jambi. Dengan populasi seluruh siswa SMPN 1 Muaro Jambi. Analisis data pada penelitian ini menggunakan jenis penelitian kuantitatif dengan menggunakan program SPSS untuk melakukan uji asumsi ( normalitas dan linearitas) dan membuat hipotesis melalui uji korelasional. Hasil dari penelitian menunjukkan dengan menggunakan uji korelasi didapatkan nilai Pearson correlation 0,027 0,05 maka dapat dinyatakan bahwa Ho ditolak atau terdapat hubungan antara karakter semangat kebangsaan dengan hasil belajar siswa di SMPN 1 Muaro Jambi.AbstractThe purpose of this study was to find out how the character of the nationality of students correlates with the learning outcomes of SMPN 1 Muaro Jambi. This type of research is a quantitative research using a correlational quantitative type associative method. The data collection technique in this study was to use questionnaires or questionnaires and questions that were distributed to students with a sample of 35 people namely VII SMPN 1 Muaro Jambi. With a population of all students of Muaro Jambi Middle School 1. Data analysis in this study uses a type of quantitative research using the SPSS program to test assumptions (normality and linearity) and make hypotheses through correlational tests. The results of the study show that using the correlation test obtained Pearson correlation value 0.027 0.05, it can be stated that Ho is rejected or there is a relationship between the character of national spirit and student learning outcomes at SMPN 1 Muaro Jambi.The purpose of this study was to find out how the character of the nationality of students correlates with the learning outcomes of SMPN 1 Muaro Jambi. This type of research is quantitative research using a correlational quantitative type associative method. The data collection technique in this study was to use questionnaires or questionnaires and questions that were distributed to students with a sample of 35 people namely VII SMPN 1 Muaro Jambi. With a population of all students of Muaro Jambi Middle School 1. Data analysis in this study uses a type of quantitative research using the SPSS program to test assumptions (normality and linearity) and make hypotheses through correlational tests. The results of the study show that using the correlation test obtained Pearson correlation value 0.027 0.05, it can be stated that Ho is rejected or there is a relationship between the character of national spirit and student learning outcomes at SMPN 1 Muaro Jambi.
Literasi media sosial masyarakat milenial dalam perspektif teori prosesing informasi Gagne
Authors: Fatimah Nurul 
Published: July 2022

Salah satu dampak positif globalisasi adalah pesatnya perkembangan Teknologi Informasi dan Komunikasi (TIK) yang disinyalir akan membantu mempermudah dan mempercepat kerja manusia. Derasnya perkembangan TIK yang masuk ke setiap negara tidak mampu dibendung lagi oleh masyarakat, baik masyarakat dalam kondisi siap maupun belum siap menerima gempuran teknologi tersebut, situasi memaksa masyarakat untuk tetap menerima perkembangan tersebut. Melimpahnya sumber informasi terutama yang beredar melalui media sosial seringkali membuat masyarakat penggunanya terbuai dan mudah sekali terprovokasi atas isi dari berita-berita yang beredar tersebut. Media sosial berhasil mengalahkan media konvensional (mainstream) berupa buku teks dan naskah informasi lainnya. Begitu banyaknya informasi yang keluar masuk, tidak lagi memberi kesempatan pada masyarakat untuk menelaah dan mengendapkan informasi-informasi tersebut agar menjadi sebuah pembelajaran yang bermanfaat dan berguna. Sejauh ini dampak yang muncul dan dirasakan oleh masyarakat pengguna yang belum siap terhadap perkembangan TIK tersebut adalah munculnya hoax (berita yang belum tentu kebenarannya) yang menjangkiti seluruh lapisan masyarakat baik generasi muda maupun generasi tua. Tulisan ini akan mencoba melihat perkembangan literasi media sosial yang terjadi di Indonesia dengan menggunakan perspektif teori prosesing informasi Gagne.AbstractOne of the positive effects of globalization is the rapid development of Information and Communication Technology (ICT) which is allegedly going to help simplify and accelerate human work. The rapid development of ICT entering every country cannot be dammed by the community, both the people are ready or not ready to accept the onslaught of technology, the situation forces the community to continue to accept these developments. The abundance of information sources especially those circulating through social media often leaves the user community lulled and easily provoked by the contents of the news circulating. Social media defeated conventional (mainstream) media in the form of textbooks and other information manuscripts. So much information comes in and out, no longer gives the opportunity for the public to examine and precipitate the information so that it becomes useful and useful learning. So far the impact that appears and is felt by the user community who are not ready for the development of ICT is the emergence of hoaxes (news that is not necessarily true) that affects all levels of society both the younger generation and the older generation. This paper will try to see the development of social media literacy that is happening in Indonesia by using the perspective of Gagne's information processing theory.
Pengaruh kecerdasan emosional, lingkungan kampus, dan penggunaan media sosial terhadap prestasi belajar
Authors: Situmorang Betris Juliana , Kirana Kusuma Chandra , Kurniawan Ignatius Soni 
Published: July 2022

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh kecerdasan emosional, lingkungan kampus dan penggunaan media sosial secara parsial bersama-sama terhadap prestasi belajar mahasiswa, pengaruh kecerdasan emosional terhadap prestasi belajar mahasiswa, pengaruh lingkungan kampus terhadap prestasi belajar mahasiswa, pengaruh penggunaan media sosial terhadap prestasi belajar mahasiswa. Metode penelitian yang digunakan adalah survey. Jumlah sampel 82 orang mahasiswa program studi manajemen angkatan 2017 Fakultas Ekonomi Universitas Saarjanawiyata Tamansiswa (UST) Yogyakarta. Teknik sampling yang digunakan yaitu accidental sampling. Hasil penelitian: 1.) Terdapat pengaruh positif dan signifikan kecerdasan emosional terhadap prestasi belajar mahasiswa; 2.) Terdapat pengaruh positif dan signifikan lingkungan kampus terhadap prestasi belajar mahasiswa; 3.) Terdapat pengaruh positif dan signifikan penggunaan media sosial terhadap prestasi belajar mahasiswa; dan 4.) Terdapat pengaruh positif dan signifikan kecerdasan emosional, lingkungan kampus dan penggunaan media sosial secara bersama-sama terhadap prestasi belajar mahasiswa.AbstractThis study aimed to determine the effect of emotional intelligence, campus environment, and the use of social media simultaneously on student achievement, the influence of emotional intelligence on student achievement, campus environment on student achievement, the use of social media on student achievement. The research method used was a survey. The total sample is 82 students batch 2017 of the management study program, Faculty of Economics, Sarjanawiyata Tamansiswa University (UST). The sampling technique used is accidental sampling. Research results: 1.) there is a positive and significant effect of emotional intelligence on student achievement; 2.) There is a positive and significant influence of campus environment on student achievement; 3.) There is a positive and significant influence of the use of social media on student achievement: 4.) There is a positive and significant influence of emotional intelligence, campus environment, and the use of social media simultaneously on student achievement.
Persepsi mahasiswa pendidikan profesi guru dalam jabatan terhadap efektivitas pembelajaran daring menggunakan Learning Management System (LMS) Space
Authors: Prisuna Bayu Fitra , Budiyono Budiyono 
Published: July 2022

Persepsi dari mahasiswa perlu dikaji dan dianalisis secara tepat, sehingga dapat menjadi refleksi bagi program studi dalam mengukur keberhasilan pada pelaksanaan pembelajaran daring berbasis Learning Management System (LMS) Space pada pelaksanaan Pendidikan Profesi Guru (PPG) dalam jabatan tahun 2021. Penelitian ini bertujuan untuk mengetahui persepsi mahasiswa pendidikan profesi guru dalam jabatan terkait efektivitas pembelajaran daring menggunakan LMS Space di Institut Agama Islam Negeri (IAIN) Pontianak. Pendekatan penelitian ini adalah penelitian kuantitatif dengan jenis penelitian survei. Populasi dalam penelitian ini adalah seluruh mahasiswa aktif program studi pendidikan profesi guru dalam jabatan tahun 2021. Pengambilan sampel menggunakan teknik simple random sampling dan menghasilkan sampel penelitian sebanyak 154 orang. Jenis instrumen yang digunakan adalah angket persepsi mahasiswa. Adapun penelitian ini mendapatkan gambaran terkait efektivitas pembelajaran daring di program studi pendidikan profesi guru dalam jabatan. Efektivitas pembelajaran daring secara keseluruhan jika dirata-ratakan dari keempat nilai Indeks Kinerja Mutu (IKM) setiap aspek berada pada nilai interval indeks kinerja mutu sebesar 3,43, yaitu memiliki makna kinerja unit pelayanan berada pada kategori sangat baik atau memiliki mutu pelayanan dengan nilai A.AbstractStudents' perceptions need to be studied and analyzed appropriately so that they can be a reflection for study programs in measuring success in the implementation of online learning based on the Learning Management System (LMS) Space in the implementation of Teacher Professional Education (PPG) in positions in 2021. This study aims to determine the perception of teaching profession education students in positions related to the effectiveness of online learning using LMS Space at the Institut Agama Islam Negeri (IAIN). This research approach is quantitative research with a survey research type. The population in this study were all active students in the teaching profession education study program in 2021. The sample was taken using a simple random sampling technique and produced a research sample of 154 people. The type of instrument used is a student perception questionnaire. This study provides an overview of the effectiveness of online learning in the in-service teacher professional education study program. The effectiveness of online learning as a whole, if averaged from the four values of the Quality Performance Index (IKM), each aspect is in the quality performance index interval value of 3.43, which means that the performance of the service unit is in the very good category or has service quality with an A value.