bluuebunny/crossref_metadata_2025_split huggingface dataset:
Upgrade and absolute calibration of the JET scintillator-based fast-ion loss detector
Authors: Rivero-Rodriguez J. F. , Perez Von Thun C. , Garcia-Muñoz M. , Beaumont P. , Kiptily V. , Garcia-Lopez J. , Goloborodko V. , Jimenez-Ramos M. C. , Rodriguez-Ramos M. , Schoepf K. , Yavorskij V. ,   JET Contributors
Published: April 2021

The JET FILD is a scintillator-based Fast-ion Loss Detector optimized to measure fusion-born alpha-particle losses. This work covers its upgrade and absolute calibration in preparation for the following JET DT experiments. A fast scintillator material (TG-Green) has been installed in the JET FILD. A heater jacket is installed around the fiber bundle, responsible for transmitting the light from the scintillator plate, to anneal the fiber obscuring due to neutron damage. The JET FILD has been upgraded with a 1 Mpx camera and 2 MHz photomultiplier data acquisition hardware. Full-orbit simulations give an estimate of the shading effects on the scintillator plate of the first wall structures and provide a synthetic signal of the JET FILD. A detector instrument function enables absolute values of fast-ion losses using calibration factors. The calibration factors are made available in a shot-to-shot basis for the characterized species and energies and with corrections for the diagnostic conditions. The fast acquisition system sets the Nyquist frequency (1 MHz) above the typical mode frequencies (≈102 kHz), thus making it possible to identify MHD-induced fast-ion losses.
Neutron emission and fast ion simulation for high performance long pulses at EAST
Authors: Yang D. K. , Zhang Y. M. , Xiao M. , Hu Z. M. , Liao L. Y. , Sun J. Q. , Zhong G. Q. , Hu L. Q. , Wan B. N. , Gorini G. , Nocente M. , Tardocchi M. , Xiao C. J. , Fan T. S. 
Published: April 2021

Neutron emission spectroscopy and neutron yield measurements are important for high neutral beam injection (NBI) power heating at the Experimental Advanced Superconducting Tokamak (EAST). The neutron yields mainly depend on the deposition from NBI to the deuterium plasmas in the EAST. We have recently used TRANSP with time dependent diagnostic results to simulate the transport process of 30 s long pulse deuterium plasma discharges in the EAST, obtaining the time dependent fast ion distribution, neutron emission spectrum, and total neutron emission rate. Combined with the time trace of the result measured by a standard 235U fission chamber, the effects of different configurations of NBI heating in EAST fusion plasmas have been evaluated.
A nanobody toolbox targeting dimeric coiled-coil modules for functionalization of designed protein origami structures
Authors: Majerle Andreja , Hadži San , Aupič Jana , Satler Tadej , Lapenta Fabio , Strmšek Žiga , Lah Jurij , Loris Remy , Jerala Roman 
Published: April 2021

Significance
Coiled-coil dimers are structural motifs which occur frequently in natural proteins. They consist of two α-helices which wind around each other to form a supercoil and can be used as versatile modules for the construction of designed proteins. Here, nanobodies generated against the coiled-coil protein origami tetrahedral cage exhibit binding of one to four nanobodies per coiled-coil dimer in the tetrahedron and also in other types of protein origami structures. High-resolution structures of nanobodies bound to coiled-coil dimers revealed the range of binding motifs, including a positive allosteric binding to the tetrahedron and to the isolated coiled-coil dimeric module, introducing nanobodies as building modules in the protein assembly design.
Probing the binding specificities of human Siglecs by cell-based glycan arrays
Authors: Büll Christian , Nason Rebecca , Sun Lingbo , Van Coillie Julie , Madriz Sørensen Daniel , Moons Sam J. , Yang Zhang , Arbitman Steven , Fernandes Steve M. , Furukawa Sanae , McBride Ryan , Nycholat Corwin M. , Adema Gosse J. , Paulson James C. , Schnaar Ronald L. , Boltje Thomas J. , Clausen Henrik , Narimatsu Yoshiki 
Published: April 2021

Significance
Siglecs are immunomodulatory receptors that recognize sialic acid–carrying glycans with important functions in immunity. However, many of their natural ligands are poorly defined. We generated a cell-based glycan array comprised of a library of isogenic human cells displaying the greater complexity of sialic acids on diverse glycan structures and glycoconjugates in the natural context of the cell surface. We applied this array to reveal fine binding specificities of Siglecs for sialoglycans, informed of the underlying required glycosyltransferase genes, and provided evidence for selective binding context provided by glycan presentation on distinct protein sequences. Insight into the fine binding specificities of Siglecs will advance understanding their diverse biological functions and benefit therapeutic targeting in autoimmunity, inflammation, cancer, and Alzheimer’s disease.
Reconstruction of primordial power spectrum of curvature perturbation from the merger rate of primordial black hole binaries
Authors: Kimura Rampei , Suyama Teruaki , Yamaguchi Masahide , Zhang Ying-li 
Published: April 2021

Abstract
The properties of primordial curvature perturbations on small scales are still unknown while those on large scales have been well probed by the observations of the cosmic microwave background anisotropies and the large scale structure. In this paper, we propose the reconstruction method of primordial curvature perturbations on small scales through the merger rate of binary primordial black holes, which could form from large primordial curvature perturbation on small scales.
Sigma-eight at the percent level: the EFT likelihood in real space
Authors: Schmidt Fabian 
Published: April 2021

Abstract
The effective field theory likelihood for the density field of biased tracers allows for
cosmology inference from the clustering of galaxies that consistently uses
all available information at a given order in perturbation theory. This paper
presents results and implementation details on the real-space
(as opposed to Fourier-space) formulation
of the likelihood, which allows for the incorporation of survey window
functions. The implementation further uses a Lagrangian forward model
for biased tracers which automatically accounts for all relevant contributions up to
any desired order. Unbiased inference of σ8 is demonstrated at
the 2% level for cutoff values Ł ≲ 0.14 h Mpc-1 for halo samples over
a range of masses and redshifts. The inferred value shows the expected convergence to the ground truth in the low-cutoff limit. Apart from the possibility of including observational effects, this represents further substantial improvement over previous
results based on the EFT likelihood.
Education Support System Using Indoor Position Information and Physical Activity
Authors: Sekiguchi Ryoichi , Kawakatsu Masaki , Ohyama Minoru 
Published: April 2021

Abstract
In this paper, we propose an education support system that offers two functions: attendance management and advance notification. Attendance management is paramount in the field of education as the attendance of a large number of students needs to be accurately checked in a short time. The proposed system uses Wi-Fi indoor positioning to quickly and accurately determine a student’s indoor location. This system can manage attendance as well as late entries and early departures. Advance notification function prompts students to move from their current location to their destination. The proposed system uses a user’s physical activity and indoor position. This system measures the travel time between classrooms using the user’s smartphone. Based on the collected travel time and the current position of the student, a notification of the start of travel is made at an optimal advance notification time. This prevents students from being late for lectures.
The Application of Artificial Intelligence Voice Recognition on Helping Elders Use Mobile Phones More Easily
Authors: Yao Qingyuan 
Published: April 2021

Abstract
The problem that elders struggle to use mobile phone devices and elders often refuse to gain in touch with contacting devices with newest technologies have attracted people’s attention for a long time. It has already become a social phenomenon that elders tend to refuse smart devices such as smartphones. The reason is that most smartphones own a complex system, which has too high a difficulty for elders to master. The elders have a strong need for a way to remove the obstacle between their demands and the input of system orders. AI voice recognition, on the other hand, can basically remove this issue from consideration, for it can replace the manual manipulation part with machine-learning-based understanding of commands. Through deep learning methods mentioned in this paper, AI voice recognition can analyze orders given by voice, pick out key words and form into an order, and eventually execute the order properly. Voice recognition programs can also detect the elders’ health conditions through the attributes of the voice and make fast reactions automatically. This article aims to find a way to build targeted AI voice recognition systems for a specific kind of people, for example, the senior citizens, which is the target of the system in this article. This article also proposes rational prospects for future AI voice recognition applications in mental treatment or psychological researches areas.
Application of Machine Learning to Predict And Diagnose Diabetes
Authors: Li Xu 
Published: April 2021

Abstract
This article uses linear regression in machine learning and LightGBM algorithm for data mining, and compares the linear regression and LightGBM algorithm’s ability of fast running speed and high accuracy under the same data conditions. The least squares method is used to make error judgments to realize the rapid and accurate prediction and judgment of the probability of diabetes in a large amount of data. At the same time, the importance and correlation of the variables are compared between the variables. Among them, it is found that Body Mass Index (BMI) has the greatest impact on diabetes, and the factors affecting BMI are weight and height. Height and age can be input into system, automatically determining the BMI value, and providing doctors with a basis for judgment.
Numerical approach for the tuning of tubes in musical instruments
Authors: Ricarte Arlindo , Meireles José , Inácio Octávio 
Published: April 2021

Abstract
Musical instrument design is still a relatively complex task. It frequently relies on empirical and oversimplified analytical approaches. The current computation era may be coupled with these processes to generate easy using tools to aid the design and creation of musical instrument. This study uses numerical routines, based on the modal analysis of simple geometries employed in musical instruments, as a tool to help the intended instrument design. Aluminum tubes, with flexural vibrations designed to resonate in a C4 register were first tested by experimental modal analysis and these results were used as reference to validate the referred numerical approach. Overall, it is shown that the numerical results highly replicate the experimental results and may be further optimized to display an even better correlation. It is, therefore, concluded that this type of computational method may be a fast and easy tool for the tuning of musical instruments.
Information Modelling Method of As-built Process Data
Authors: Dai Sheng , Zhao Gang , Yu Yong , Bao Qiangwei 
Published: April 2021

Abstract
The digital twin concept plays a significant role in the Industry 4.0 era since it was proposed. One key enabling technology for digital twin creation is the information modelling of physical products. Therefore, the modelling approach to modelling as-built process data of physical products, which faithfully reflects the real machining status, emerges to be pivotal. This paper addresses the problem of modelling as-built process data in machining process, which is difficult to accomplish by relevant methods, and hinders data reuse and the long-term archiving. Furthermore, an ontology-based information modelling method of as-built process data is proposed as the recommendation to represent and record the data in the cyberspace. It provides a standardized process for companies to model as-built process data by specifying the contents to be modeled, and the modelling method. To validate the effectiveness, a case study is undertaken in an aviation manufacturing plant at last. The result shows that the proposed information modelling methodology is readily to the virtualization of as-built machining process data.
Weight effects on simple adaptive shimmy suppression system: a case study
Authors: Alaimo A , Esposito A , Orlando C 
Published: April 2021

Abstract
The problem of the shimmy oscillation of aircraft’s nose landing gear is of great interest because such vibration can carry detrimental effects. An adaptive vibration suppression system based on the Modified Simple Adaptive Control is here considered. The saturation of actuator control moment is taken into account and a simple back calculation scheme is introduced to avoid windup effects. The work investigates numerically the influence of aircraft weight on the controlled system response under different disturbing condition.
The 2nd International Annual Meeting on STEM education (IAMSTEM 2019)
Authors: Yuenyong Chokchai , Nam Nguyen Danh , Buan Amilia , Suwono Hadi , Wekke Ismail Suardi , Buang Nor Aishah 
Published: April 2021

Since, the 1st International Annual Meeting on STEM education (IAMSTEM) 2018 was organized based on seed funding of Thailand Ministry of Education and Khon Kaen University with aiming to bring STEM education researchers and teachers together for building up STEM education community. The ASEAN Research Network for STEM education (ARN-STEM) was formed in 2018 when the group of STEM education researchers in Southeast Asia jointly organized the IAMSTEM 2018. The primary objective was to encourage the creation of links, and the exchange of ideas and information among the academic community, private-sector firms and organizations, and government policy makers, leading to a better understanding on STEM education related policy and innovations in the ASEAN region.
In 2019, our group is growing up. The 2nd International Annual Meeting on STEM education (IAMSTEM 2019) was held in 27-29 September 2019 at Thai Nguyen University of Education, Thai Nguyen, Vietnam. It gives us great pleasure to announce that the 2nd IAMSTEM 2019 was a resounding success, with over 250 participants from throughout Vietnam and from other countries. On behalf of the organizers, ASEAN Research Network for STEM education (ARN-STEM), ASEAN Comparative Educational Research Network (ACER-N), Science Education Association of Thailand (SEAT), Thailand Office of Basic Education Commission (OBEC); Khon Kaen University, Rajabhat Yala University, Thailand; Universiti Kebangsaan Malaysia, Sekolah Tinggi Agama Islam Negeri (STAIN) Sorong, State University of Malang, Indonesia; Mindanao State University–Iligan Institute of Technology, the Philippines as well as other corporate sponsors whose generous contributions made this a successful meeting. IAMSTEM 2019 provided a unique opportunity for experts, academics, and educators to exchange knowledge and build friendships. The meeting consisted of four keynote speakers, and a number of contributed oral and poster presentations. Resulting from the success of IAMSTEM 2019 are qualified full research articles from the presentations, which have been reviewed and compiled in this IOP Journal of Physics: Conference Series. It is our sincere hope that these proceedings will contribute to advancing our understanding of STEM education and applications and serve as initiators for even greater achievements in the field.
List of Committees are availble in this pdf.
Examine pre-service science teachers’ existing ideas about STEM education in school setting
Authors: Sutaphan Sukanya , Yuenyong Chokchai 
Published: April 2021

Abstract
Thailand Office of Basic Education Commission (OBEC) has pushed in-service teachers to develop his or her competence of organizing STEM education instruction. Another solution of increasing STEM in-service teacher is provide pre-service science teachers to generate their ideas of organizing learning activities and carried out research about STEM education during their teaching practice. This study aimed to examine pre-service science teachers’ conceptions of STEM education. The participants included 10 pre-service science teachers who enrolled school internship course of Khon Kaen University for teaching practice in schools. These participants will be supervised by the author. On the way of supervising, participants have meeting to generate the ideas of STEM education learning activities and research about STEM education on Friday afternoon for every week. Methodology regarded interpretive paradigm. Pre-service teachers’ conceptions of STEM education will be interpreted participant observation, interview, STEM education lesson plan, teaching performance, and other tasks. Data collection was carried out for 4 months. The data will be interpreted to examine the categories of pre-service teachers’ conceptions of STEM education. The findings will clarify what their perception on STEM education, and what and how they generate ideas for developing lesson plan; to integrate science, mathematics, and others for practicing in context; and to provide engineering practices and engineering design of technologies as the context. Their ideas of research about STEM education also reflect what they emphasize to develop students’ 21st century skills, and provide instruction requiring the context of problem solving in the real world or task through teamwork. The paper may have implication for developing pre-service STEM teachers.
Exploring Thai seventh Grade students’ understandings of design thinking
Authors: Wangka Kittiporn , Ladachart Ladapa 
Published: April 2021

Abstract
This study explores 35 Thai seventh grade students’ understandings of design thinking. As design thinking is a process by which designers empatize human needs, define problems, create ideas, make prototypes, and test the prototypes, its important aspects are focused in this study These aspects include (1), human-centerness, (2) problem defining, (3) use of creativity, (4), collaborative work, (5) design constraints, (6), prototype testing, and (7) iterative process. The students’ understandings regarding these seven aspects are examined using an open-ended questionnaire in corroboration with individual semi-structured interviews. The data are analysed using content analysis. The result reveals that most of students had proper understandings of four aspects, which are human-centerness, use of creativity, design constraints, and collaborative work. However, their understandings of the other three aspects (i.e., problem definition, prototype testing, and iterative process) are inadequate. This result provides insights into development of STEM design-based activities to enhance the students’ better understandings of design thinking.
Examining categories of students’ STEM projects in science class
Authors: Phuaknok Onla-or , Yuenyong Chokchai 
Published: April 2021

Abstract
The paper aims to examine Thai high school students’ categories of STEM proposal projects. Participants included 200 Grade 10 students in class 1 - 5 who were learning on science course. Students were asked to apply their science and others to develop their STEM projects as the last part of science course. There were 43 STEM projects from class 1 – 5 which were categorized. Methodology regarded interpretive paradigm. Categories of STEM projects were be interpreted through project proposal, students’ presenation, participant observation and conversation interview. The findings revealed that the 43 STEM projects could be categorized into 8 categories. These included 1) internet of things (IoT) for agriculture business, 2) providing computer knowledge for further development of industry or entrepreneur, 3) providing how to apply scientific knowledge/methods as technology for further development of industry or entrepreneur, 4) providing how to apply scientific knowledge/methods as technology for further development of agriculture business, 5) developing scientific model, 6) making consumer products, 7) making medical products, and 8) technology products for industry or entrepreneur. The most of STEM projects were provided in two categories including the project about making consumer products and projects about providing how to apply scientific knowledge/methods as technology for further development of industry or entrepreneur. This paper may implications for enhancing students to do STEM projects.
Examining Grade 11 students’ existing ideas of engineering design process of fluid and Bernoulli’s principle through Predict-Observe-Explain (POE)
Authors: Bunprom S , Boontemsuk C , Tupsai J , Yuenyong C 
Published: April 2021

Abstract
This study aimed to examine Grade 11 students’ existing ideas of the engineering design process on the problem based on fluid and Bernoulli’s principle unit through predict-observe-explain (POE). To promote high school students’ engineering literacy. Participants included 36 Grade 11 students who were studying in Khon Kaen University Demonstration Secondary School (suksasart), organized into 7 groups. Methodology regarded interpretive paradigm. The Hynes et.al. (2011) framework of the engineering design process (EDP) was applied as the reference of students’ existing ideas of the engineering design process (EDP) consists of 9 steps including 1) identify need or problem, 2) research need or problem, 3) develop possible solutions, 4) select the best possible solution, 5) construct a prototype, 6) test and evaluate solution, 7) communicate the solution, 8) redesign and 9) completion decision. The question to start with “how the airplane can fly in the air” was the main problem, provided students to design possible solutions. The findings indicated that students cooperative learning to apply Bernoulli’s principles to solve the problem was interpreted to clarify students’ existing ideas of the engineering design process. The paper may have implications for STEM education teaching and learning.
The Development Learning Activities Using Three Levels of Chemical Representation for Enhance Upper Secondary Students’ Organic Chemistry Concepts
Authors: Mekwong Sayamon , Chamrat Suthida 
Published: April 2021

Abstract
The purpose of this study is to develop chemistry learning activities using three levels of chemical representations for enhancing upper secondary students’ organic chemistry concepts. The three levels of chemical representations are an important framework in chemistry education. Many students held misconceptions in organic chemistry because of students’ incapability to connect among the three levels of chemical representations. Development chemistry learning activities using three levels of chemical representations started by analyzing the applications of such a framework in organic chemistry lessons. The teaching strategy would follow the Life-Observation-Notation or LON approach. Chemistry learning activities were developed and received a quality examination by three experts who have experience in teaching chemistry to assess the content validity that arranged the chemistry learning activities according to the content. There are many teaching strategies used in these learning activities, such as concept map, demonstration, analogy, and hands on activities were developed. The learning activities provide abilities to relating the phenomena at a macroscopic level to a microscopic and symbolic level. The learning activities are expected to develop students’ understanding of chemical phenomena and organic chemistry concepts.