bluuebunny/crossref_metadata_2025_split huggingface dataset:
Postpartum NSAID Use and Adverse Outcomes among Women with Hypertensive Disorders of Pregnancy: A Systematic Review and Meta-analysis
Authors: Premkumar Ashish , Ayala Nina K. , Miller Corinne H. , Grobman William A. , Miller Emily S. 
Published: July 2020

Objective This study was aimed to perform a systematic review and meta-analysis of the association between postpartum nonsteroidal anti-inflammatory drug (NSAID) use among women with hypertensive disorders of pregnancy (HDP) and risks of adverse postpartum outcomes.
Study Design Studies were eligible if they included women who had been diagnosed with HDP and were postpartum, reported exposure to NSAIDs, were written in English, and were published between January 2000 and November 2019. Assessment of bias was performed using the Newcastle–Ottawa scale for observational studies or the Cochrane Collaborative tool for randomized trials. The primary outcome was maternal blood pressure ≥ 150 mm Hg systolic and/or 100 mm Hg diastolic. Secondary outcomes were persistent blood pressures ≥ 160 mm Hg systolic and/or 110 mm Hg diastolic, mean arterial pressure (MAP), initiation or up-titration of antihypertensive medication, length of hospital stay, rehospitalization for blood pressure control, and postpartum opioid use. A random-effect meta-analysis was performed using RevMan, with a p-value < 0.05 used to indicate statistical significance (PROSPERO CRD no.: 42019127043).
Results Among 7,395 abstracts identified, seven studies (four randomized and three cohort studies, n = 777 patients) met inclusion criteria. All cohort analyses exhibited low levels of bias, while two randomized controlled trials exhibited a high risk of bias in blinding and inclusion criteria. There was no association between NSAID use and blood pressures ≥ 150 mm Hg systolic and/or 100 mm Hg diastolic (risk ratio [RR]: 1.21, 95% confidence interval [CI]: 0.89–1.64). Conversely, NSAID use was associated with a statistically significant, but clinically insignificant, increase in length of postpartum stay (0.21 days, 95% CI: 0.05–0.38). No other secondary outcomes were significantly different between groups.
Conclusion Postpartum NSAID use among women with HDP was not associated with maternal hypertension exacerbation. These findings support the recent American College of Obstetricians and Gynecologists' guideline change, wherein preeclampsia is no longer a contraindication to postpartum NSAID use.
Key Points
Evaluation of the Changes of Salivary pH among Dental Students Depending on Their Anxiety Level
Authors: Said Olga Bait , Razumova Svetlana , Velichko Ellina , Tikhonova Svetlana , Barakat Haydar 
Published: July 2020

Abstract
Objectives The aim of this study was to determine the correlation between the state of anxiety (S-anxiety and T-anxiety based on the state–trait anxiety inventory [STAI] test) and the manifestation of dentophobia with changes in salivary pH.
Materials and Methods The data of 105 patients, aged 18 to 23 were considered. The student’s anxiety levels were evaluated by the STAI test and they were distributed into three groups. To determine dental anxiety, Corah’s dental anxiety scale (CDAS) testing was performed. To determine the changes in salivary pH, samples were obtained, and pH level of the collected whole saliva was evaluated immediately using pHSCAN 5.4–10.0 litmus paper and a scale in 0.1 to 0.4 increments. Statistical significance was set at 0.05.
Results Group I experienced a low level of anxiety and included 33 students (31.4%). Group II comprised of 32 (30.5%) students presenting with a moderate level of anxiety. In group III, 40 students (38.1%) were having a high level of anxiety. Out of the 105 participants, 85% of students showed low level of dentophobia, 27% of them showed a low level of anxiety, 29% showed moderate level of anxiety, and 28% showed high level of anxiety. The average salivary pH value among all the participants (105 students) at rest was 6.79 and in a state of anxiety 6.43.
Conclusion within the limits of this study, a correlation was found between the anxiety level and the salivary pH level. Furthermore, a change in the salivary pH toward acidity was registered in each group of students when in a stressful situation.
Quantifying configurational information for a stochastic particle in a flow-field
Authors: Tang Evelyn , Golestanian Ramin 
Published: July 2020

Abstract
Flow-fields are ubiquitous systems that are able to transport vital signaling molecules necessary for system function. While information regarding the location and transport of such particles is often crucial, it is not well-understood how to quantify the information in such stochastic systems. Using the framework of nonequilibrium statistical physics, we develop theoretical tools to address this question. We observe that rotation in a flow-field does not explicitly appear in the generalized potential that governs the rate of system entropy production. Specifically, in the neighborhood of a flow-field, rotation contributes to the information content only in the presence of strain—and then with a comparatively weaker contribution than strain and at higher orders in time. Indeed, strain and especially the flow divergence, contribute most strongly to transport properties such as particle residence time and the rate of information change. These results shed light on how information can be analyzed and controlled in complex artificial and living flow-based systems.
Numerical modelling of mangrove merged with seawall for investigating wave mitigation over flat topography
Authors: Iryanto  , Bunga M S , Mustamiin M , Magdalena I , Erwina N 
Published: July 2020

Abstract
In this study, numerical modelling to see the effect of mangrove merged with seawall on wave mitigation over flat topography is developed. The model is based on Navier-Stokes equations. Resistance of the mangrove is described using Manning friction, whereas the seawall is created from particles and added directly to the topography. Numerical solution of the model is solved using Smoothed Particle Hydrodynamics (SPH). Two types of seawalls; vertical and incline seawall are used. Results of the numerical simulations show that existence of the mangrove merged with vertical seawall can reduce 10.52191% in wave height and prevent the wave to pass the seawall. Whereas the existence of the mangrove merged with incline seawall can reduce 15.39512% in wave height but the wave still passes the seawall.
Pre-service teacher’s pedagogical content knowledge: What teachers know about students’ errors?
Authors: Setyaningrum W , Mahmudi A , Murdanu  
Published: July 2020

Abstract
Content knowledge is one of the important aspect for the improvement of teaching and learning, attention to its development and study has been conducted frequently. This study was intended to explore the pedagogical content knowledge of mathematics pre-service teachers in Indonesia. This descriptive qualitative study involving twenty five pre-service teachers enrolled in mathematics education department in one university in Yogyakarta. The collected data of the pedagogical content knowledge were examined by using descriptive analysis. This study revealed that many pre-service mathematics teachers could identify students’ errors. Nevertheless, they struggle to provide alternate ways to minimize the errors. The possible reasons behind these findings are discussed.
Classification of Open Unemployment Rate in Indonesia with Mamdani Fuzzy Inference System
Authors: Kurniasari Y , Suseta B , Hendiyani N , Abadi A M 
Published: July 2020

Abstract
Unemployment is a very common problem in developing countries such as Indonesia. One of the government’s efforts to overcome the problem is having skill training. However, the labor often faced difficulties in classifying unemployment in Indonesia. Therefore, the utilization of fuzzy logic is considered as an appropriate way to examine the state’s open unemployment rate by Mamdani method implementation. The input used in this case is the number of unemployment and labor force whereas the output of this system is the classification of open unemployment rate. Then the model output is compared to the classified data of the labor service and the result indicates that a matching percentage of 70,6 percent. It shows that the fuzzy model is able to determine the open unemployment rate in Indonesia.
A spatial shared component random intercept model for assessing risk of diarrhea among men and women
Authors: Kismiantini  , Jaya I G N M 
Published: July 2020

Abstract
Diarrhea becomes a severe problem for children under five years of age. A preventive action is needed to minimize the negative effect of diarrhea. Gender risk assessment may be necessary to control diarrhea transmission as different sexes have distinct healthy behaviour. We develop a collection of candidate models of Bayesian shared component random intercept models to identify a gender group’s spatial risk of diarrhea. The candidate models include Poisson-Inverse Gamma and Negative Binomial-Inverse Gamma models with different values hyperprior parameters. The results showed that the Negative-Inverse Gamma model performed better than the Poisson-Inverse Gamma with respect to the existence of overdispersion in the data. The spatial patterns of diarrhea for men and women were similar. In some sub-districts, however, it indicated that women at two different locations had a higher risk of diarrhea compared to men.
Junior high school student’s reflective thinking process in solving the mathematics problem of triangle and rectangular materials based on the local content
Authors: Haejelia M , Noer SH 
Published: July 2020

Abstract
The ability of reflective thinking is the ability to connect the knowledge which students get with the preseding knowledge, so there are conclusions to solve new problems. In order to motivate the students to solve the problems given, the researcher wants to associate the mathematical problems that are given to the students by associating something which which was the local context to them. This study describes the reflective thinking of students in solving triangular and rectangular mathematical problems. This study used a qualitative descriptive study with the students of class VIIIC at SMP Negeri 17 Pesawaran as a research subject consisting of 32 students which was taken by 5 students. The five subjects are all the students who fulfill all the reflective thinking indicators. The instrument used was a written test in the form of 4 description questions and in the interview’s guidelines conducted on the 5 students. Based on the research, the results obtained the students reflective thinking description in solving the mathematical problems which were the three subjects who are able to think reflective in solving mathematical problems and two subjects are quite capable of reflective thinking in solving mathematical problems.
Didactical design of square circumference based on Petak Umpet traditional game in Elementary School
Authors: Nur’aeni E , Oktaviani L , Apriani I F 
Published: July 2020

Abstract
This research is inspired by the preliminary study that showing learning obstacles experienced by the students in comprehending square circumference concept. The students do not have total comprehension in understanding the square circumference because their low comprehension when studying it for the first time. It becomes the main background in solving the square circumference problems. It is required to create learning design to solve the problems. The researchers create a didactic design based on PetakUmpet traditional game in order to help the students to understand square circumference concept and also to preserve traditional cultures. Research methodology is using Didactical Design Research(DDR) with three level of analysis, there are: prospective analysis, metapedadidacticanalysis and retrospective analysis. Data collection technique is using triangulation (interview, observation and documentation). This research produces a teaching media as learning design in the form of lesson plan developed as an alternative learning design that can be used on square circumference concept in elementary school.
The effect of Kumon learning model on mathematics learning outcomes in cognitive style view
Authors: Sulasteri S , Suharti  , Amri M , Halimah A , Kusumayanti A 
Published: July 2020

Abstract
This study aimed to determine the effect of Kumon learning model on mathematics learning outcomes in cognitive style view in the Eighth grade students of SMPN 21 Makassar. The research design was quasi experiment with factorial design. The population of this study was the Eighth grade students of SMPN 21 Makassar and the sample technique used was random sampling. The instruments of this study were mathematics learning achievement test, which was divided into pretest and posttest, and GEFT (Get Embed Figure Test) which aimed to categorize the students into two types, FI (field independent) and FD (field dependent). The results indicated that the average improvement of mathematics learning outcomes by applying Kumon model in experimental class increased 34.06% and only 28.83% for control class in the eighth grade students of SMPN 21 Makassar. It could be concluded that the students with FI cognitive style using Kumon model had higher learning outcomes than the students with FI cognitive style taught without Kumon model. And the researcher did not find any significant differences on the students’ learning outcomes of FD cognitive styles in experimental class and control class. Therefore, it could be concluded that Kumon learning model affected the mathematics learning outcomes in cognitive style view in the Eighth grade students of SMPN 21 Makassar.
Ethnomathematics: Mathematical concepts in Tapis Lampung
Authors: Susiana  , Caswita  , Noer S H 
Published: July 2020

Abstract
The existence of ethnomatematics has existed since long ago. This is seen from various mathematical concepts that have become part of the life and traditions of society. One of them is contained in tapis Lampung. Tapis Lampung has motifs and patterns that describe the philosophy of Lampung people. Each motif has meaning and symbol in the pattern of cultural life. The process of developing Tapis Lampung has had a major impact on the economy of the community and significantly increased the potential of cultural tourism in exploring the wealth of the Indonesian art heritage. This process of introducing culture in a mathematical perspective better known as ethnomatematics. This concept has become the basis of society in using mathematics in life. This study aims to examine the philosophy contained in motifs of tapis and analyze the mathematical concept to find an ethnomatematics approach in mathematics learning. in various types of tapis Lampung including: Tapis Cucuk Pinggir, Tapis Jung Sarat, Tapis Limar Sekebar. Mathematics concept include One-Dimentional Geometry and Two-Dimentional Geometry, Geometry Transformation includes: concepts of reflection, dilation and rotation.
Mapping of mathematics topics that can be integrated their learning utilizing calculator
Authors: Retnawati H , Wijaya A , Yunianto W , Laksmiwati P A , Meilina M , Amanti P G , Irawan R 
Published: July 2020

Abstract
Calculator is one of technology product that can be integrated with mathematics learning. However, mathematics topics that require calculator in teaching and learning process haven’t been identified. This research was revealed to map the school mathematics topics that can be integrated into learning using calculator. This research was a qualitative study, with a content analysis approach. Initially, a focus group discussion (FGD) was held regarding the format of mapping mathematical material. The FGD participants were officials from the education office at the Ministry of Education and Culture, staff from Casio Education Singapore, and reviewers from various universities that had mathematics education study program in Yogyakarta Indonesia. The mathematics topics from elementary school, junior high school, high school and vocational school were mapped, which basic competencies can use a calculator in learning. The results showed that most of the basic competencies in elementary, junior high, high school, and vocational school could integrate their learning using calculator. These uses were categorized into exploration, representation, computation and affirmation. The dominant features of scientific calculator were also mapped at each school level.
Facilitating pedagogical content knowledge development through professional development intervention
Authors: Barut M E O , Wijaya A 
Published: July 2020

AbstractTeacher has main responsibility to accommodate all students and their learning needs in dynamic classroom situations. This goal can be accomplished if teacher can organize high quality teaching practice to support student’s success. So that teachers must be equipped with wide range of knowledge about how particular mathematics topics, problems, or issues are organized, represented, and adapted to the diverse interests and abilities of learners. Such knowledge is known as Pedagogical Content Knowledge (PCK). Many studies have proven PCK as professional knowledge that should be acquired by teacher to make effective teaching. Considering its importance, there must be systematic effort to develop pedagogical content knowledge through professional development. Teacher professional development has been used as the most effective approach to promote teacher change. Accordingly, the purpose of this paper is to explore ways to develop PCK in professional development intervention. The method used in this study is literature review. The review revealed that professional development intervention with collaborative-reflective situation such as: lesson study, analysing student’s work, analysing video of classroom practices, or construction of Content of Representation (CoRe) and Pedagogical and Professional Experience Repertoires (PapeRs) – based program, has positive impact to develop teacher’s pedagogical content knowledge.
Game “STATIC”: Is it effective for students’ conceptual understanding?
Authors: Salsabila N H , Setyaningrum W 
Published: July 2020

Abstract
The research aims to describe the effectiveness of game based learning in improving students’ mathematics conceptual understanding. The game used in this research is called STATIC (Statistics in Arctic) which can be accessed using smartphone. The game was developed using the ADDIE model which consisted of 5 phases, analysis, design, development, implementation, and evaluation. The game has met the valid and practical aspects. The participants of this research were 33 students of 8th junior high school. The students’ conceptual understanding is measured using multiple choice tests. The result showed that 76% of students have passed the Minimum Completeness Criteria scores in students’ conceptual understanding test. It implies that the STATIC game could be used to improve students’ conceptual understanding. Therefore it could be one of instructional media for teachers.
How to improve critical thinking skills and spatial reasoning with augmented reality in mathematics learning?
Authors: Anggraini S , Setyaningrum W , Retnawati H , Marsigit  
Published: July 2020

AbstractCritical thinking skills and spatial reasoning are important aspect in human life. On the other hand, currently, implementing augmented reality in many fields be a trend, including in education field. This study aims to explain how to improve critical thinking skills and spatial reasoning with augmented reality in mathematics learning. The method used in this research is literature review. The data obtained from scientific journals, conference proceedings, and other relevant sources. The results show that to improve spatial reasoning can be done by utilizing its features that can develop confidence of learners, facilitate student-centered learning, create problem solving, and create interactive learning. Besides that, spatial reasoning can be improved by designing dynamic objects with AR. Dynamic objects permit learners to view objects from different sides. Therefore, active learning can be promoted.
The Potential of GeoGebra Exploration in Supporting Multiple Representation Ability
Authors: Arifah A N , Sugiman  
Published: July 2020

Abstract
The ability of multiple representations is an essential ability to solve problems in learning mathematics. Problems in learning mathematics are still a matter of material that is too abstract. The way to reduce the abstractness is to convert them into representations that are easier to understand. In learning mathematics, there is software that can provide various forms of representations (symbolic, visual, and verbal), namely GeoGebra. The purpose of this study is to describe the ability of multiple representations through the potential of GeoGebra exploration. This study uses quantitative and qualitative methods (mixed methods) with convergent parallel strategies. Data taken through tests, response questionnaires, and observations. The results show that the ability of multiple representations that appear in the form of symbolic, visual, and verbal representations with the percentage of students sequentially by 81%, 100%, and 81%. This is supported by the results of a positive student response questionnaire to the potential of GeoGebra exploration regarding student interest in learning mathematics when using GeoGebra and the ability of students to display multiple representations of mathematical material through GeoGebra.
Thermal Deformation Test and Modeling of Main Spindle of Numerical Control Vertical Machining Center
Authors: Xiao Qijun , Luo Zhonghui , Luo Mei , Liu Shihsheng , Hsu Weitai , Huang Chiawei 
Published: July 2020

Abstract
Thermal error is the main factor affecting the manufacturing accuracy of the numerical control vertical machining center. The thermal deformation of the machine spindle is the main source of machine tool thermal error. In view of the deficiency of single factor modeling of thermal deformation of spindle of traditional machine tools, it is measured in this paper the temperature rise and Z-axis thermal deformation of a vertical machining center under several rotating speed conditions, the test data is analyzed and processed, and the relationship curves of thermal deformation of the spindle relative to time and temperature rise under several working conditions are drawn. Binary linear regression analysis model and artificial neural network model for thermal deformation of the spindle are presented. By comparing the residual error of these two modeling methods, the error for binary regression modeling is from −7.5μm to 10μm, however, the error for neural network modeling is from −5.5μm to 8.1μm, it is shown that neural network modeling is superior to binary regression modeling.
Resolution matters when modeling climate change in headwaters of the Colorado River
Authors: Foster Lauren M , Williams Kenneth H , Maxwell Reed M 
Published: July 2020

Abstract
The continued growth of Southwestern cities depends on reliable water export from Rocky Mountain headwaters, which provide ∼85% of Colorado River Basin (CRB) streamflow. Despite being more sensitive to warming temperatures, alpine systems are simplified in the regional-scale models currently in use to plan for future water supply. We used an integrated hydrologic model that couples groundwater and surface water with snow and vegetation processes to examine the effect of topographic simplifications as a result of grid coarsening in a representative CRB headwater basin. High-resolution (100 m) simulations predicted headwater streamflow losses of 16% by 2050 while coarse-resolution (1 km) simulations predict only 12%, suggesting that regional-scale models (coarser than 1 km) likely overestimate future Colorado River Basin water supplies.