bluuebunny/crossref_metadata_2025_split huggingface dataset:
System of Linear Equation Problem Solving: Descriptive-Study about Students’ Mathematical Connection Ability
Authors: Hidayati V R , Maulyda M A , Gunawan G , Rahmatih A N , Erfan M 
Published: August 2020

Abstract
Algebra is one of the fields in mathematics studied by secondary school students. The students’ ability to solve algebra problems is still low. This is due to their lack of ability to solve real-world problems. This is because their mathematical connection capabilities are also not good. Mathematical connection ability is one of the standard processes in learning mathematics. The purpose of this study was to describe the mathematical connection ability of secondary school students in solving algebra problems. This research method is descriptive-qualitative. The research subjects were each high, medium, and low ability secondary school student. The data obtained is the result of subjects’ work in solving systems of three-variable linear equations. Subjects’ work outcomes will be analyzed based on indicators of mathematical connection ability. The results of this study are high, medium, and low ability students able to meet several indicators in recognizing and using some ideas or concepts in mathematics. Students can understand how the concepts of mathematics are interconnected. Only highly capable student shows indicators of the application of mathematics in daily life problem.
Integrated Mathematics Development
Authors: Juariah J , Sobarningsih N , Nurdiansyah R , Sugilar H , Anggraini D , Kariadinata R 
Published: August 2020

Abstract
The purpose of this research is to find out the process of developing integrated mathematical problems (Islamic nuanced questions) in class VII social arithmetic material; the results of integrated questions on class VII social arithmetic; and students’ attitudes towards integrated questions in class VII arithmetic social material. This study uses a 4-D (Four-D) development method which consists of 4 stages, namely the define stage, the design stage, the development stage and the dissemination stage, the subjects of this study are Grade VIII students one of the schools in Sukabumi Regency and Bandung City, West Java. The results show that the integrated question development process uses four stages of development; the results obtained from the question development and trial phase, obtained eight integrated questions that have been validated by experts and question criteria consisting of validity, reliability, different strengths, and overall difficulty level in a valid and good category; Student attitudes towards integrated questions with the excellent and positive categories towards integrated questions are developed. The results of this study will be able to assist teachers in presenting integrated mathematical problems or those related to daily ritual worship activities.
The Influence of Working Backward Problem Solving Strategy Towards Mathematical Reasoning Ability in Terms of Students’ Emotional Intelligence
Authors: Kusumayanti Andi , Abrar Andi Ika Prasasti , Wirdayani Besse , Rasyid Muhammad Rusydi , Yuliany Nur 
Published: August 2020

Abstract
The study aimed to know the description of student’s mathematical reasoning ability and student’s emotional intelligence, to find out whether there were differences in the mathematical reasoning ability between students who used and those who did not use working backward problem solving strategy, identify whether there were differences in mathematical reasoning ability between students who used and those who did not use working backward problem solving strategy in terms of the emotional intelligence, and to find out whether there was an influence of interaction on the working backward problem solving strategy towards the mathematical reasoning ability in terms of the emotional intelligence of the students of grade VIII of MTsN 1 Makassar. The study used the quantitative approach with 3×2 factorial design. The population of the study were the students of grade VIII of MTsN 1 Makassar consisting of 440 students with 80 students as the samples (2 classes). The data analysis technique used was descriptive statistical and inferential statistical analysis. The findings of the study showed that (1) the mathematical reasoning ability of the students who used and those who did not use the working backward problem solving strategy were in the high category, meanwhile the students’ emotional intelligence was in the medium category, (2)there were differences in the mathematical reasoning abilities between students who used and those who did not use working backward problem solving strategy, (3)there were differences in mathematical reasoning ability between students who used and those who did not use working backward problem solving strategy in terms of student’s emotional intelligence, and (4)there was no interaction effect of working backward problem solving strategy towards the mathematical reasoning ability in terms of the emotional intelligence of the students of grade VIII of MTsN 1 Makassar
Effectiveness of Android-Based Mathematics Learning Media Application on Student Learning Achievement
Authors: Wahid Abd Hamid , Najiburrahman  , Rahman Kholilur , Faiz  , Qodriyah Khodijatul , Hambali  , El Iq Bali Muhammad Mushfi , Baharun Hasan , Muali Chusnul 
Published: August 2020

AbstractThis study aims to implement android-based learning media in mathematics basic concepts courses on student achievement, and the effectiveness of android-based learning media in mathematics basic concepts courses on student achievement at PGMI Nurul Jadid University. This research uses a quantitative research approach. The data collection is done through documentation and tests. The determination of the sample of this research was carried out by random sampling technique which included the fourth-semester PGMI Study Program students. While the data analysis in this study uses paired sample t-test analysis techniques. Based on the results of data analysis, it can be concluded that t-count = -18,378 with significance = 0,000 < 0.01. Thus, it can be stated that H1 is accepted and H0 is rejected, so it can be concluded that the android-based learning media on the subject of mathematics basic concepts are convincingly effective in improving student achievement.
Reflection of Alpha Theta Brain Waves to Increase Student Interests
Authors: Septantiningtyas Niken , Umar  , Ma’rufi Anwar , Mukaromah Hajar , Widat Faizatul , Laily Nur , Sari Ita Purnama , Enggal L Wiwin , Suib Mohammad Syaiful 
Published: August 2020

Abstract
This research is a quantitative study, which aims to find the effect of alpha theta brainwave reflection on student learning interest in the PGMI study program at the Islamic Faculty of Nurul Jadid University, Paiton, Probolinggo, East Java, Indonesia. The results showed that this wave can be achieved by performing a series of techniques to relax and calm the mind naturally to reach a point of clarity of focus and wisdom. In this wave phase one easily understands and memorizes something new, and fosters enthusiasm and interest in learning new information.
Characteristic of Areca Fiber Briquettes as Alternative Energy
Authors: Hasanuddin  , Nurdin H , Waskito  , Sari Delima Yanti 
Published: August 2020

Abstract
The level of demand and use of fuel oil in Indonesia has exceeded domestic production. So that the acceleration of the choice of alternative energy adoption becomes a step and effort to overcome this problem. Efforts to develop a diversified solid fuel product program in the form of areca-based fiber briquettes are the choice. Areca nut is a natural fiber derived from Areca Catechu which has the potential to be used as a raw material for making briquettes which has only been a waste in the community. The experimental method carried out in the manufacture of briquettes is a mixture of areca fiber (particle) and tapioca adhesive in a variation ratio of areca fiber concentration of 90%, 80%, 70%, and 60%. This research resulted in the characteristics of areca fiber briquettes with a concentration variation of 80% of areca fiber and 20% tapioca adhesive which has the highest heating value of 12352.9 kJ/kg with a density of 318.71 kg/m3. Success in processing and producing briquettes in correctional facilities can reduce dependence on fuel oil. Areca fiber-based briquette development as an effort to get alternative energy that has quality products. The use of areca fiber waste as an alternative fuel substitute can be realized in the community to achieve national energy security through the process of applying technology.
Preparation of Ganyong (Canna discolour) Starch Bioplastic with the Addition Of Sirih (Piper betle) Leaf Extract
Authors: Sedyadi Endaruji , Yuliati Ria Tri 
Published: August 2020

Abstract
Bioplastic production of canna starch with the addition of sirih leaf extract has been done. This study aims to determine the relationship between the additions of sirih leaf extract to the physical properties of canna starch bioplastic. Bioplastic characteristics were studied by measuring thickness, tensile strength, elongation, modulus young and wvtr. This research was conducted in three stages, the extraction of sirih leaf, preparations of canna tuber bioplastic and canna tuber bioplastic with the addition of sirih leaf extract. The results showed that the bioplastics had a thickness of 0.083 mm, a tensile strength of 3.11 mpa, 27.62′ elongation, modulus young 0,1126 mpa and wvtr 7.24 grams / m2 hour. The addition of sirih leaf extract has a strong effect on changes in tensile strength, elongation, modulus young and wvtr
Phenotypic Performance of Expected Lines of Upland Functional Black Rice Resulted from Bulk Selection
Authors: Aryana I G P M , Sutresna I W , Hemon A F , Kisman  
Published: August 2020

Abstract
This study aimed to know the phenotypic performance of the quantitative character of black rice expected lines resulted from bulk selection. The experimental method was used in this study by using Randomized Completely Block Design (RCBD) with two replicates. The genetic materials used in this study were 18 rice genotypes consisting of 16 black rice expected lines from bulk selection and two genotypes of parents (Baas Selem and Situ Patenggang). Each genotype was planted in 1 m × 10 m plots, planting space of 25 cm × 25 cm with 1 plant per clump, and conducted at paddy fields in the village of Nyurlembang, Narmada, West Lombok. The study was carried out for 4 months started from February to June 2018. Maintaining the plants includes weeding, pest control, fertilization with 300 kg ha−1 Ponska and 200 kg ha−1 Urea. Results of the study showed that: There were significant differences of harvest date, plant height, number of productive tiller per clump, panicle length, number of filled grains and empty grains, 100 grains weight, and grain yield per hectare. The G12 line was the highest yield (8.25 tons ha−1) which is supported by yield components such as the number of filled grains per panicle (154.63 grains), panicle length (25.08 cm) and the number of productive tillers per clumps (25.80 plants). The grain yield of G12 was not significantly differed from both parent, Situ Patenggang (7.25 tons ha−1) and Baas Selem (6.59 tons ha−1).
“I Am Starting to Believe in the Word ‘Justice’”: Lessons from an Ethnographic Study on Community Courts
Authors: Gal Tali , Dancig-Rosenberg Hadar 
Published: August 2020

Abstract
With the growing awareness of the crisis of mass incarceration and distrust toward the legal system, recent years have seen a rise in interest in specialized, problem-solving, and therapeutic courts designed to reduce incarceration and recidivism rates and enhance public trust in state authorities. Community courts have been operating in numerous jurisdictions worldwide, providing a non-adversarial platform in which repeat low-level offenders are offered a comprehensive rehabilitative and restorative intervention program. Alongside evaluations demonstrating the ability of community courts to reduce incarceration and enhance offenders’ trust, some critics have suggested that community courts jeopardize offenders’ procedural rights and result in over-criminalization of program non-completers. This Article provides a qualitative empirical examination of an Israeli community court model, inspired by the Red Hook Community Justice Center in Brooklyn, New York. Based on over 280 hours of observations of approximately 100 hearings and fourteen staff meetings, the findings provide an inside look at the ways in which Israeli community courts implement a range of evidence-based, democracy-oriented approaches to crime control, such as procedural justice, therapeutic jurisprudence, and community justice, in the context of community courts. The findings also point to a need to pay closer attention to how these courts continue their operation, within a broader adversarial legal framework of criminal justice. The challenges identified in this Article raise questions that are relevant to other community courts in the United States and elsewhere.
Apical hypertrophic cardiomyopathy with left ventricular apical aneurysm: prevalence, cardiac magnetic resonance characteristics, and prognosis
Authors: Yang Kai , Song Yan-Yan , Chen Xiu-Yu , Wang Jia-Xin , Li Lu , Yin Gang , Zheng Yu-Cong , Wei Meng-Die , Lu Min-Jie , Zhao Shi-Hua 
Published: August 2020

Abstract

Aims
Hypertrophic cardiomyopathy (HCM) with left ventricular apical aneurysm (LVAA) is associated with an increased risk of adverse cardiovascular events. However, the clinical significance of LVAA in apical HCM (ApHCM) has not been reported. This study aimed to investigate the prevalence, cardiac magnetic resonance (CMR) characteristics, and prognosis of LVAA in ApHCM patients.

Methods and results
A total of 1332 consecutive ApHCM patients confirmed by CMR in our hospital were retrospectively analysed. LVAAs were identified in 31 patients of all ApHCM patients (2.3%, 31/1332). Besides, 31 age- and gender-matched ApHCM patients without LVAA were used for comparison. Of the 31 aneurysm patients (mean age, 53.8 ± 15.1 years old), 28 (90.3%) had clinical symptoms, and 3 (9.7%) had a family history of HCM. The rate of missed diagnosis of echocardiography for detecting LVAA was 64.5% (20/31), most (90%, 18/20) of unidentified LVAAs by echocardiography were small aneurysms (&lt;20 mm). Compared with ApHCM patients without LVAA, the proportion of systolic mid-cavity obstruction and late gadolinium enhancement (LGE) presence, and the LGE extent in ApHCM patients with LVAA were significantly higher (all P&lt;0.05). The Kaplan–Meier curves showed that the event-free survival rate in ApHCM patients with LVAA was significantly lower than that in ApHCM patients without LVAA (log rank, P = 0.010).

Conclusion
ApHCM with LVAA is a very rare condition, which is often missed by echocardiography and could be reliably detected with CMR and is associated with a higher risk of adverse cardiovascular events compared with ApHCM without LVAA.
Efficacy and safety of ablation index-guided catheter ablation for atrial fibrillation: an updated meta-analysis
Authors: Ioannou Adam , Papageorgiou Nikolaos , Lim Wei Yao , Wongwarawipat Tanakal , Hunter Ross J , Dhillon Gurpreet , Schilling Richard J , Creta Antonio , El Haddad Milad , Duytschaever Matthias , Hussein Ahmed , Dhiraj Gupta , Ahsan Syed , Providencia Rui 
Published: August 2020

Abstract

Aims
Despite recent advances in catheter ablation for atrial fibrillation (AF), pulmonary vein reconnection (PVR), and AF recurrence remain significantly high. Ablation index (AI) is a new method incorporating contact force, time, and power that should optimize procedural outcomes. We aimed to evaluate the efficacy and safety of AI-guided catheter ablation compared to a non-AI-guided approach.

Methods and results
A systematic search was performed on MEDLINE (via PubMED), EMBASE, COCHRANE, and European Society of Cardiology (ESC) databases (from inception to 1 July 2019). We included only studies that compared AI-guided with non-AI-guided catheter ablation of AF. Eleven studies reporting on 2306 patients were identified. Median follow-up period was 12 months. Ablation index-guided ablation had a significant shorter procedural time (141.0 vs. 152.8 min, P = 0.01; I2 = 90%), ablation time (21.8 vs. 32.0 min, P &lt; 0.00001; I2 = 0%), achieved first-pass isolation more frequently [odds ratio (OR) = 0.09, 95%CI 0.04–0.21; 93.4% vs. 62.9%, P &lt; 0.001; I2 = 58%] and was less frequently associated with acute PVR (OR = 0.37, 95%CI 0.18–0.75; 18.0% vs 35.0%; P = 0.006; I2 = 0%). Importantly, atrial arrhythmia relapse post-blanking was significantly lower in AI compared to non-AI catheter ablation (OR = 0.41, 95%CI 0.25–0.66; 11.8% vs. 24.9%, P = 0.0003; I2 = 35%). Finally, there was no difference in complication rate between AI and non-AI ablation, with the number of cardiac tamponade events in the AI group less being numerically lower (OR = 0.69, 95%CI 0.30–1.60, 1.6% vs. 2.5%, P = 0.39; I2 = 0%).

Conclusions
These data suggest that AI-guided catheter ablation is associated with increased efficacy of AF ablation, while preserving a comparable safety profile to non-AI catheter ablation.
Graph2GO: a multi-modal attributed network embedding method for inferring protein functions
Authors: Fan Kunjie , Guan Yuanfang , Zhang Yan 
Published: August 2020

Abstract

Background
Identifying protein functions is important for many biological applications. Since experimental functional characterization of proteins is time-consuming and costly, accurate and efficient computational methods for predicting protein functions are in great demand for generating the testable hypotheses guiding large-scale experiments.“

Results
Here, we propose Graph2GO, a multi-modal graph-based representation learning model that can integrate heterogeneous information, including multiple types of interaction networks (sequence similarity network and protein-protein interaction network) and protein features (amino acid sequence, subcellular location, and protein domains) to predict protein functions on gene ontology. Comparing Graph2GO to BLAST, as a baseline model, and to two popular protein function prediction methods (Mashup and deepNF), we demonstrated that our model can achieve state-of-the-art performance. We show the robustness of our model by testing on multiple species. We also provide a web server supporting function query and downstream analysis on-the-fly.

Conclusions
Graph2GO is the first model that has utilized attributed network representation learning methods to model both interaction networks and protein features for predicting protein functions, and achieved promising performance. Our model can be easily extended to include more protein features to further improve the performance. Besides, Graph2GO is also applicable to other application scenarios involving biological networks, and the learned latent representations can be used as feature inputs for machine learning tasks in various downstream analyses.
Legal terms of use and public genealogy websites
Authors: Contreras Jorge L , Schultz Kyle , Teerlink Craig C , Maness Tim , Meyer Laurence J , Cannon-Albright Lisa A 
Published: August 2020

Abstract
Public genealogy websites, to which individuals upload family history, genealogy, and sometimes individual genetic data, have been used in an increasing number of public health, epidemiological, and genetic studies. Yet there is little awareness among researchers of the legal rules that govern the use of these online resources. We analyzed the online Terms of Use (TOU) applicable to 17 popular genealogy websites and found that none of them expressly permit scientific research, while at least 13 contain restrictions that may limit or prohibit scientific research using data obtained from those sites. In order to ensure that researchers who use genealogy and other data from these sites for public health and other scientific research purposes do not inadvertently breach applicable TOUs, we recommend that genealogy website operators consider revising their TOUs to permit this activity.
Laboratory Management and Quality Control Practice of SARS-CoV-2 Nucleic Acid Detection
Authors: Xiao Shiwei , Yue Junqiu , Zhang Tianming , Wang Mingwei , Jin Su , Zhang Junfei , Zhang Sheng , Xu Pengfei , Wu De , Hu Jianhua , Guo Fang 
Published: August 2020

Abstract

Objective
A positive result of SARS-CoV-2 nucleic acid detection provides critical laboratory evidence for clinical confirmed diagnosis, pandemic status evaluation, a pandemic prevention plan, treatment of infected people with symptoms, and protection of uninfected people. This study aims to provide a practical reference for SARS-CoV-2 nucleic acid–related research and detection.

Methods
Our laboratory has established policies combining personnel management and quality control practices for SARS-CoV-2 nucleic acid detection during the pandemic.

Results
In this article, we describe cross-department personnel management and key points of personal protection and quality control in the testing process. We also report on the differences in detection and the compatibility between different brand kits.

Conclusion
It is critical to maintain a standard and accurate laboratory operation for nucleic acid testing.
Dynamical state for 964 galaxy clusters from Chandra X-ray images
Authors: Yuan Z S , Han J L 
Published: August 2020

ABSTRACT
The dynamical state of galaxy clusters describes if clusters are relaxed dynamically or in a merging process of subclusters. Using archival images from the Chandra X-ray Observatory, we derive a set of parameters to describe the dynamical state for 964 galaxy clusters. Three widely used indicators for dynamical state, the concentration index c, the centroid shift ω, and the power ratio P3/P0 are calculated in the circular central region with a radius of 500 kpc. We also derive two adaptive parameters, the profile parameter κ and the asymmetry factor α, in the best fitted elliptical region. The morphology index δ is then defined by combining these two adaptive parameters, which indicates the dynamical state of galaxy clusters and has good correlations to the concentration index c, the centroid shift ω, the power ratio P3/P0, and the optical relaxation factor Γ. For a large sample of clusters, the dynamical parameters are continuously distributed from the disturbed to relaxed states with a peak in the between, rather than the bimodal distribution for the two states. We find that the newly derived morphology index δ works for the similar fundamental plane between the radio power, cluster mass, and the dynamical state for clusters with diffuse radio giant-haloes and mini-haloes. The offset between masses estimated from the Sunyaev–Zeld́ovich effect and X-ray images depends on dynamical parameters. All dynamical parameters for galaxy clusters derived from the Chandra archival images are available on http://zmtt.bao.ac.cn/galaxy_clusters/dyXimages/.