bluuebunny/crossref_metadata_2025_split huggingface dataset:
Circulating testican-2 is a podocyte-derived marker of kidney health
Authors: Ngo Debby , Wen Donghai , Gao Yan , Keyes Michelle J. , Drury Erika R. , Katz Dan H. , Benson Mark D. , Sinha Sumita , Shen Dongxiao , Farrell Laurie A. , Peterson Bennet D. , Friedman David J. , Elmariah Sammy , Young Bessie A. , Smith J. Gustav , Yang Qiong , Vasan Ramachandran S. , Larson Martin G. , Correa Adolfo , Humphreys Benjamin D. , Wang Thomas J. , Pollak Martin R. , Wilson James G. , Gerszten Robert E. , Rhee Eugene P. 
Published: September 2020

Significance
All existing blood biomarkers of kidney function such as creatinine and cystatin C undergo renal clearance and are thus inversely correlated with estimated glomerular filtrate rate (eGFR). Using a proteomic approach, we highlight the renal release of testican-2 among individuals undergoing invasive catheterization and show that higher blood testican-2 levels are associated with higher eGFR and slower rate of subsequent eGFR decline in two large racially diverse cohorts. In conjunction with microscopy and single-cell RNA sequencing of human kidney samples, these studies advance the concept that a protein released by the podocyte can provide insight into the kidney’s health and prognosis. Cell-based studies also raise the possibility that this protein has functional effects on neighboring glomerular endothelial cells.
Endoplasmic reticulum chaperones stabilize ligand-receptive MR1 molecules for efficient presentation of metabolite antigens
Authors: McWilliam Hamish E. G. , Mak Jeffrey Y. W. , Awad Wael , Zorkau Matthew , Cruz-Gomez Sebastian , Lim Hui Jing , Yan Yuting , Wormald Sam , Dagley Laura F. , Eckle Sidonia B. G. , Corbett Alexandra J. , Liu Haiyin , Li Shihan , Reddiex Scott J. J. , Mintern Justine D. , Liu Ligong , McCluskey James , Rossjohn Jamie , Fairlie David P. , Villadangos Jose A. 
Published: September 2020

SignificanceA newly discovered system for immunological detection of diverse bacterial and fungal pathogens involves the MHC-like host protein called MR1. This molecule scavenges metabolites from the biosynthesis of riboflavin by microbes. MR1 presents these compounds on the surface of antigen-presenting cells, where they interact with T cells known as mucosal-associated invariant T cells and stimulate immunity. Critical aspects of the cell biology of metabolite presentation by MR1 are unknown. Here we generated a fluorescent antigen analog and use it to show that MR1 captures its metabolites within the endoplasmic reticulum. We describe proteins that maintain MR1 ready for metabolite binding in the endoplasmic reticulum to promote efficient pathogen detection. MR1 thus monitors extracellular microbial metabolites from within the cell.
Stick–slip model for actin-driven cell protrusions, cell polarization, and crawling
Authors: Sens Pierre 
Published: September 2020

Significance
Spreading and crawling cells display rich nonlinear dynamics, which include periodic phases of growth and retraction of cellular protrusion, traveling waves along the cell edges, and spontaneous cell polarization and crawling. Using a theoretical model combining the mechanosensitivity of cell–substrate adhesion kinetics and linear cell viscoelastic mechanics, I show that the force-sensitive unbinding of adhesion bonds leads to stick–slip dynamics that recapitulate these dynamics’ features. The model also highlights the role of the cell membrane tension in controlling spontaneous symmetry breaking and the transition between spreading and crawling. This suggests that purely mechanical feedback loops, in addition to those involved in biochemical signaling networks, are key regulators of cell crawling.
Stable homotopy groups of spheres
Authors: Isaksen Daniel C. , Wang Guozhen , Xu Zhouli 
Published: September 2020

SignificanceThe geometric objects of interest in algebraic topology can be constructed by fitting together spheres of varying dimensions. The homotopy groups of spheres describe the ways in which spheres can be attached to each other. From the viewpoint of algebraic topology, detailed knowledge of these groups would lead to a classification of geometric objects. We summarize the state of previous knowledge of the stable homotopy groups of spheres through dimension 61 and provide information in dimensions 62 through 90. It is a highly counterintuitive fact that some high-dimensional spheres can be viewed in more than one way from the perspective of differentiability. We enumerate these differentiable structures through dimension 90, except for dimension 4.
Decoding the mystery of American pain reveals a warning for the future
Authors: Case Anne , Deaton Angus , Stone Arthur A. 
Published: September 2020

Significance
The elderly in the United States report less pain than those in midlife—suggesting, perhaps, that once people move into old age, their morbidity will fall. Unfortunately, assessing pain by age at one point in time masks the fact that each successive birth cohort reports more pain at any given age than the cohorts that came before it. We cannot use the experience of the elderly today to project pain prevalence of the elderly tomorrow. Today’s elderly have experienced less pain throughout their lives than those in midlife today, who will be tomorrow’s elderly. If these patterns continue, pain prevalence will continue to increase for all adults; tomorrow’s elderly will be sicker than today’s elderly, with serious implications for healthcare.
Structural stability of CuAl2O4 under pressure
Authors: Agzamova P A , Belik A A , Streltsov S V 
Published: September 2020

Abstract
Structural properties of CuAl2O4, which was recently argued to show unusual suppression of the Jahn–Teller distortions by the spin–orbit coupling, are investigated under pressures up to 6 GPa. Analysis of x-ray powder diffraction experiments shows that CuAl2O4 gets unstable and decomposes onto CuO and Al2O3 at pressures ∼6 GPa and temperature ∼1000 K. This finding is complemented by the density-functional theory + U + spin–orbit coupling calculations, which demonstrate that this instability is partially driven by a (relatively) large compressibility of strongly Jahn–Teller distorted CuO.
Improved SDA-ss algorithm for nonsymmetric algebraic Riccati equations
Authors: Wu Runsheng , Tang Bo 
Published: September 2020

Abstract
It is well known that nonsymmetric algebraic Riccati equation can be efficiently solved by using the structure-preserving doubling algorithm (SDA) with the shift-and-shrink transformation and the corresponding doubling algorithm is called the SDA-ss. In this paper, we propose an improved SDA-ss algorithm. Preliminary numerical experiments show that the algorithm is efficient to derive the minimal nonnegative solution of nonsymmetric algebraic Riccati equation with M-matrix.
The host-market valuation effect of foreign company cross-listings — the case of the Hong Kong market
Authors: Ma Mengmeng , Yi Ronghua , Yu Ying , Yao Xiaoyang 
Published: September 2020

Abstract
This paper studies the valuation effect of time-varying and the difference between different markets of overseas companies cross-listing on the host market. Using the data of the Hong Kong market from 1991 to 2018, we adopt the event study method and multiple regression model to analyse the short- and long-term valuation effect, respectively. Furthermore, two-stage least squares (2SLS) regression are utilized to address the endogeneity. We find that the valuation of foreign company listings on the host market change with the duration and have a significant short-term positive spillover effect. However, the long-term spillover effect is related to the company’s home market. This study provides new insights into foreign cross-listing company valuation, offering a few implications for the establishment of a Chinese International Board.
Automatic detection process of solar active region based on SDO/AIA digital image
Authors: Sukarsih I , Hermawanti A , Respitawulan  , Priyatikanto R , Kurniati E 
Published: September 2020

Abstract
The aim of this study is to do automatic detection of the sunspot on the solar disc using MATLAB. The digital images from the satellite SDO (Solar Dynamic Observatory)/AIA (Atmospheric Imaging Assembly) with 512 x 512 pixels jpg image were being processed through several steps: segmentation threshold to separate the object from its background and obtain the area and coordinate points (centroids) of the sunspots. Then, the sunspot coordinates gained from the automatic detection are compared with the coordinates released by NASA at solarmonitor.org. The error calculation using RMSE gives 30.824022 “to 1120.2831” for horizontal position and 46.509763 “to 266.74988” for vertical position. The errors are still considered significant since Lembaga Penerbangan dan Antariksa Nasional (LAPAN, Indonesian National Institute of Aeronautics and Space) specify the error tolerance value of 20” maximum. The main factor for the difference is the spatial characteristics of the EUV images used for automatic detection are different with the characteristics of the photosphere image used by solarmonitor.org as the catalogue reference of the sunspots.
Student mathematical anxiety: investigation on problem based learning
Authors: Jatisunda M G , Kania N , Suciawati V , Nahdi D S 
Published: September 2020

Abstract
Problem-based learning is an alternative for students to exercise problem-solving ability. During the mathematics learning process, students also experience mathematics anxiety which prevents them to perform well. This study aims to explore the students’ mathematics anxiety in the problem-based learning process. Based on previous studies, problem-based learning was designed to reduce mathematics anxiety. This research is qualitative research with a phenomenology approach. The phenomenological research was examined based on the experience of the participants attending the mathematics classes with problem-based learning. In this study, we chose the subjects by considering the results of mathematics anxiety tests and students’ physical characteristics that indicate the occurrence of mathematical anxiety. The results found that students with high and moderate mathematics anxiety showed physical characteristics of mathematical anxiety observed during the problem-based learning process. After conducting in-depth interviews with the subjects, it was found that they had difficulty with the mathematics problems given. Finally, we concluded that the selection of mathematical problems given with the hope that it will reduce mathematical anxiety turns out to cause mathematical anxiety. It then affected their work that has not succeeded in solving the mathematics problems.
Pre-service mathematics teachers’ experiences of teaching practice in function composition
Authors: Kania N , Nurhikmayati I , Suciawati V 
Published: September 2020

Abstract
Generally, teaching practice is carried out as a conceptual decision in achieving the vision and mission of tertiary institutions and each faculty in an effort to produce qualified teacher candidates who are ready to deal directly with the community or school. The research aims to description performance students’ math education at Majalengka University in teaching practice. The approach used was a qualitative case study in students’ math education at Universitas Majalengka. Data sources sourced from the students’ math education who establish teaching practice at school partner academic year 2018/2019, teacher and student school partner. The results show that observation provides a lot of information that is very useful for prospective teachers to develop their competencies. Next, participated in teaching practice does not get many a chance to practicing and they shall not find special guidance from tutor teachers. Participated in teaching practice would be able to execute study practice independent learning. Furthermore, experiences within were making plans for the implementation of a lesson (RPP) has got a good deal. Participated in teaching practice had a wealth of experience in their activities to get extra on the school. The achievement of competence would be good enough. Participated in teaching practice is still following a lecture once at the campus. Lastly, participated in teaching practice need to improve its ability in using the learning methods and the media learning to promote disorder too.
Flexibility in solving open-ended mathematics problems based on students’ thinking styles
Authors: Isyrofinnisak F , Kusmayadi T A , Fitriana L 
Published: September 2020

Abstract
Flexibility is one of the abilities needed to solve mathematical problems using a variety of different perspectives. One factor that affects flexibility is students’ thinking styles. Students’ thinking styles are classified into 4 types, namely Concrete Sequential (CS), Abstract Sequence (AS), Concrete Random (CR), and Abstract Random (AR). These four thinking styles have an important role in increasing students’ understanding of the learning process. The aim of this research is to see the extent of students ‘mathematical flexibility abilities in solving open problems based on students’ thinking styles. This research uses descriptive research with a qualitative approach. The subjects in this study were 4 students. The research began by giving students a thinking style questionnaire which was then continued by giving open test questions and interviews. The validity of data measured using the triangulation method. The results of this study indicate that CS students, AS students, and CR students, have not been able to achieve indicators of flexibility, whereas AR students can achieve indicators of flexibility in solving open problems.
Metacognition skills and higher order thinking skills (HOTS) in mathematics
Authors: Albab U , Budiyono  , Indriati D 
Published: September 2020

Abstract
Based on the results of interviews with teachers and observations of mathematics students of class VIII at the school where the research is, the difficulty of students in learning material related to high-level thinking problems (HOTS) when receiving or understanding concepts given by the teacher. This study aims to find out how the influence of metacognition skills to the ability of Higher Order Thinking Skills (HOTS) MTs N 1 Kudus students and bias can be used as a trigger to increase Higher Order Thinking Skills (HOTS) skills. Hypothesis testing uses simple linear regresi. The results of this study indicate that: 1) there is a positive and significant correlation to the Higher Order Thinking Skills (HOTS) skills of 60.8%: 2) there is a positive and significant correlation to the Higher Order Thinking Skills (HOTS) skills based on indicators of metacognition skills (awareness = 43.8%, regulation = 65.5%, and evaluation = 57.8%).
Exploring students’ critical thinking skills in a geometry lesson
Authors: Hidayat D , Rosnawati R 
Published: September 2020

Abstract
The ability of critical thinking in mathematics is an important ability that should be mastered by students. The goal of this research is to describe students’ critical thinking in a geometry lesson. This research is a survey study in which the data are taken by the documentation. Students’ answers used in this data based on critical thinking questions in which 17 students’ in 8th grade on one of the junior high schools in Yogyakarta are involved in this research. Students’ critical thinking instruments consist of 6 questions which have three aspects, namely analyzing, evaluating, and concluding in which each is with a picture and without the picture. The result of this research shows that analyzing aspect with picture questions has a better result compare to the question without picture. Similarly, in evaluating and concluding aspects, the data show that students’ answers are better with the picture rather than the question without the picture. Furthermore, from the results of the sample students’ exploration answers, it is expected that learning in future geometry can facilitate students’ critical thinking skills then, the learning of geometry is better presented by using the pictures.
Classification of genetic expression in prostate cancer using support vector machine method
Authors: Komarudin S A , Anggraeni D , Riski A , Hadi A F 
Published: September 2020

Abstract
Prostate cancer has long been a concern of expert’s human genetics in health research. However, an explanation of the main causes of prostate cancer cannot be obtained metabolically-biologic, except the most common one of which is heredity. Explanation of the risk of contracting prostate cancer is sought through genetic explanation of prostate cancer cells and healthy prostate cells from DNA sequencing in the form of micro arrays data or in the form of Gleason values. Cancer cell genetic data is high dimensional where the number of variables observed were far more than the individual observed. It’s make ordinary multivariate classification techniques fail to handle this data because of the singularity matrix. In addition, the observations number of cancer patients are small since they are rarely found. With these two facts, then in this paper we will use a machine learning approach to study the classification, namely SVM. SVM will be compared with the Naive Bayes Classifier and Discriminant Analysis method to determine the accurate division in distinguishing prostate cancer cells from healthy prostate cells. The sample data used consisted of 102 people with 2135 genetic variables which were then divided into training data and testing data. Based on the results of the study, the classification by the SVM method has an accuracy value of 96% with a precision error in the tumor class of 7%. The Naive Bayes classification has a precision error of 23.5% with a classification accuracy of 84%. While the Discriminant Analysis method produces an accuracy of 92% with a precision error of 13.33%.
Geogebra in integral areas to improve mathematical representation ability
Authors: Septian A , Darhim  , Prabawanto S 
Published: September 2020

Abstract
Integral Calculus is material that must be understood by students as a basis for teaching in school. The ability of mathematical representation of an integral area is felt to be less comprehensively mastered. It is indicated by the large number of students having difficulty in making graphic visual displays. Several researchers make some approaches through technology-based media, including GeoGebra. The purpose of this study is to find out better improvement between the mathematical representation abilities of students who use GeoGebra in Integral Areas with conventional learning in terms of overall and prerequisite abilities. In this research, the sample is fourth semester students of the Mathematics Education Study Program at Universitas Suryakancana. The design of this study uses a nonequivalent control group design with purposive sampling technique. As a result, the improvement of Students’ mathematical representation ability who use GeoGebra in integral area is better than students who use conventional learning and mathematical representation ability with the category of high and low prerequisite abilities using Geogebra in Integral Areas is better than those carrying out conventional learning in the category of high and low prerequisite abilities.
Does gender affect the mathematics creativity of junior high school students?
Authors: Permatasari S D A , Budiyono  , Pratiwi H 
Published: September 2020

Abstract
Mathematics learning in the 21st century is a learning that emphasizes the importance of development in 4 aspects (4C), one of them is creativity. Mathematical creativity is students’ skill to solve a problem with several strategies to reach different answers in certain tasks which are useful in developing mathematical reasoning. Relating to this context, nowadays, the issues of gender in education have been concern, that education must treat male and female students as equal. This research used one-way ANOVA to analyze the differences between the mathematical creativity between male and female students in junior high school. The research method used was quantitative descriptive. The sample of this research was 56 students of SMP Batik Surakarta who were taken by random sampling method. The results found that male and female students did not have differences in the ability of mathematical creativity. The insignificant difference can only be seen from their average scores. Female students are superior to male in the indicators of fluency, flexibility, and elaboration, but not in the indicator of originality.
Non-empirical Induction in mathematics conjecturing in the new knowledge construction
Authors: Supratman  , Rustina Ratna , Heryani Yeni 
Published: September 2020

Abstract
This study aims to describe students’ conjecturing ability in accordance with and without the use of empirical mathematical induction methods in solving problems and building new knowledge. Data were obtained from 57 students in grade 8 by using the conjecturing process and unstructured interviews. The result showed that the conjectured process using empirical induction was longer than without its usage in solving problems and building new knowledge. However, the use of empirical induction, leads to no accommodation of problems, strategies and relationships, compared to when it is not used as shown by the Piaget’s theory.
TORIQ: Android-based mobile learning for vector lessons
Authors: Pratama R A , Larasati D , Khotimah H 
Published: September 2020

Abstract
This research aims to produce an Android-based learning media using Adobe Flash CS6 Professional named TORIQ—Vector Intelligence Quiz. The product was developed by attention to aspects of validity, practicality, and effectiveness in X-grade students’ mathematics learning of Airlangga Health Vocational School of Balikpapan. The implementation used the design of MDLC model development which consists of concept, design, material collecting, assembly, testing, and distribution. The results were obtained from media testing consisting of Alpha 1 test, Alpha 2 test, Beta test in small group, and Beta test in large group. The results concluded that the Android-based TORIQ learning media that have been developed are included in the category of highly valid with a percentage of 86.928%, very practical with an average percentage of 85.208%; and effective with a percentage of completeness of 93.333%. Thus, as a whole, the TORIQ learning media developed can be an alternative media in learning activities, especially on vector material.
Mathematical literacy in pre-service elementary school teacher: A case study
Authors: Yustitia V , Amin S M , Abadi  
Published: September 2020

Abstract
A prospective teacher to possess the ability of mathematical literacy in order to formulate, to apply, and to interpret mathematics in various contexts, including abilities to do mathematical reasoning and use mathematical concepts. The purpose of this research is to describe the mathematical abilities of the prospective elementary school teachers to solve mathematical literacy problems. We involved prospective teachers in the Elementary School Teacher Education Department as the research participants. This research is a qualitative research. Data collected by interview and test. The result of this study suggested that the ability of prospective teachers to solve basic mathematical literacy problems for levels 1 and level 2 were good, level 3 was enough, but for level 4 or above were still low. This was caused by the low ability of mathematical literacy. Pre-service teachers were rarely accustomed to solving literacy questions and they were less used to deal with the connection process in solving mathematical problems.