bluuebunny/crossref_metadata_2025 huggingface dataset:
Management of Skull Fractures and Calvarial Defects
Authors: Vincent Aurora , Sokoya Mofiyinfolu , Shokri Tom , Gordin Eli , Inman Jared C. , Manolidis Spiros , Ducic Yadranko
Published: November 2019

Scalp and calvarial defects can result from a myriad of causes including but not limited to trauma, infection, congenital malformations, neoplasm, and surgical management of tumors or other pathologies. While some small, nondisplaced fractures with minimal overlying skin injury can be managed conservatively, more extensive wounds will need surgical repair and closure. There are many autologous and alloplastic materials to aid in dural and calvarial reconstruction, but no ideal reconstructive method has yet emerged. Different reconstructive materials and methods are associated with different advantages, disadvantages, and complications that reconstructive surgeons should be aware of. Herein, we discuss different methods and materials for the surgical reconstruction of calvarial defects.
Reliability and Feasibility of the Self-Administered ISTH-Bleeding Assessment Tool
Authors: Punt Marieke C. , Blaauwgeers Maaike W. , Timmer Merel A. , Welsing Paco M.J. , Schutgens Roger E.G. , van Galen Karin P.M.
Published: November 2019

Introduction Standardized bleeding assessment tools (BATs), such as the International Society for Thrombosis and Hemostasis (ISTH)-BAT, are screening instruments used during the diagnostic workup of suspected bleeding disorders. A self-administered ISTH-BAT (self-BAT) would enhance screening and save time during an outpatient clinic visit.

Aim This study was aimed to investigate the reliability and feasibility of the self-BAT.

Methods The electronic self-BAT was created from the ISTH-BAT and paper-version of self-BAT and optimized by patients and physicians. Patients with a (suspected) congenital platelet defect (CPD), who had previously undergone physician-administered ISTH-BAT assessment, were invited to complete the self-BAT. Optimal self-BAT cut-off values to detect a bleeding tendency, as defined by the ISTH-BAT, were evaluated by receiver operator characteristic (ROC) curve analysis to reach a sensitivity ≥95%. Reliability was tested by assessing sensitivity, specificity, and intraclass correlation (ICC). Feasibility was evaluated on comprehension and length of self-BAT.

Results Both versions of the BAT were completed by 156 patients. Optimal cut-off values for self-BAT to define a bleeding tendency were found to be identical to those of the ISTH-BAT. Normal/abnormal scores of the ISTH-BAT and self-BAT were agreed in 88.5% (138/156, 95% confidence interval [CI]: 0.83–0.93) of patients. The sensitivity and specificity of the self-BAT to detect a bleeding tendency were 96.9 and 48.1%, respectively. The ICC was 0.73. Self-BAT questions were graded by 96.8% (151/156) as “very easy,” “easy,” and “satisfactory” and questionnaire length as “exactly right” by 91% (142/156) of patients.

Conclusion In patients with a (suspected) CPD, the self-BAT is sufficiently reliable and feasible to detect a bleeding tendency, which supports its use as a screening tool.
Micronized Dehydrated Human Amnion Chorion Membrane Injection in the Treatment of Knee Osteoarthritis—A Large Retrospective Case Series
Authors: Alden Kris J. , Harris Stan , Hubbs Brandon , Kot Kimberly , Istwan Niki B. , Mason David
Published: November 2019

Osteoarthritis (OA) of the knee is a leading cause of chronic pain and disability in the United States. Current treatment options primarily target OA symptoms reserving surgical intervention and knee replacement for those who fail conservative measures. With average age of patients with knee OA decreasing, regenerative treatment approaches to reduce symptoms, increase quality of life, and delay the need for surgical intervention are increasingly sought. Human amniotic membrane contains growth factors and cytokines, which promote epithelial cell migration and proliferation, stimulate metabolic processes leading to collagen synthesis, and attract fibroblasts, while also reducing pain and inflammation. Micronization of the tissue allows for suspension in normal saline and injection. We conducted a retrospective review of 100 knees treated for symptomatic OA with micronized dehydrated human amnion/chorion membrane (mdHACM) and followed for 6 months. Our purpose is to present our experience and patient outcomes. Data were abstracted from electronic medical records of 82 consecutive OA patients (100 knees) injected with 100 mg mdHACM. Patient age, gender, adverse events and routinely collected Knee Injury and Osteoarthritis Outcome Score (KOOS) were evaluated. Effectiveness of mdHACM treatment was measured by serial KOOS at baseline, and posttreatment at 6 weeks, 3, and 6 months. Overall mean KOOS for the cohort was 40 at baseline, improving to 52, 62, and 65 at 6 weeks, 3 months, and 6 months post-mdHACM injection. Percent increases were 32, 56, and 65%, respectively. Quality of life and sports/recreation domains improved by 111 and 118%, respectively, at 6 months. Pain scores improved by 67% at 6 months. All scores improved throughout the observation period. The most common adverse event was pain after injection lasting 2 to 7 days, observed in 68% of cases. This represents the largest single-physician experience with mdHACM for treatment of knee OA reported to date. Injectable mdHACM appears to be a potentially useful treatment option for knee OA patients. Controlled studies are underway to confirm these observations.
Biallelic Mutations in MTPAP Associated with a Lethal Encephalopathy
Authors: Van Eyck Lien , Bruni Francesco , Ronan Anne , Briggs Tracy A. , Roscioli Tony , Rice Gillian I. , Vassallo Grace , Rodero Mathieu P. , He Langping , Taylor Robert W. , Livingston John H. , Chrzanowska-Lightowlers Zofia M. A. , Crow Yanick J.
Published: November 2019

Background A homozygous founder mutation in MTPAP/TENT6, encoding mitochondrial poly(A) polymerase (MTPAP), was first reported in six individuals of Old Order Amish descent demonstrating an early-onset, progressive spastic ataxia with optic atrophy and learning difficulties. MTPAP contributes to the regulation of mitochondrial gene expression through the polyadenylation of mitochondrially encoded mRNAs. Mitochondrial mRNAs with severely truncated poly(A) tails were observed in affected individuals, and mitochondrial protein expression was altered.

Objective To determine the genetic basis of a perinatal encephalopathy associated with stereotyped neuroimaging and infantile death in three patients from two unrelated families.

Methods Whole-exome sequencing was performed in two unrelated patients and the unaffected parents of one of these individuals. Variants and familial segregation were confirmed by Sanger sequencing. Polyadenylation of mitochondrial transcripts and de novo synthesis of mitochondrial proteins were assessed in patient's fibroblasts.

Results Compound heterozygous p.Ile428Thr and p.Arg523Trp substitutions in MTPAP were recorded in two affected siblings from one family, and a homozygous p.Ile385Phe missense variant identified in a further affected child from a second sibship. Mitochondrial poly(A) tail analysis demonstrated shorter posttranscriptional additions to the mitochondrial transcripts, as well as an altered expression of mitochondrial proteins in the fibroblasts of the two siblings compared with healthy controls.

Conclusion Mutations in MTPAP likely cause an autosomal recessive perinatal encephalopathy with lethality in the first year of life.
2.2 Metal/Biocatalyst Dual Catalysis
Authors: Diéguez M. , Bäckvall J.-E. , Pàmies O.
Published: November 2019

Chemoenzymatic dynamic kinetic resolution (DKR) and dynamic kinetic asymmetric transformation (DYKAT) processes have become some of the most appealing transformations for the preparation of chiral molecules. In this review, we present the huge advances made in the combination of a metal racemization catalyst and a biocatalyst for the synthesis of enantiopure alcohols, amines, and other relevant compounds.
A Fabry – Perot interferometer formed in the core of a composite optical fibre heavily doped with phosphorus oxide
Authors: Egorova O.N. , Vasil’ev S.A. , Likhachev I.G. , Sverchkov S.E. , Galagan B.I. , Denker B.I. , Semjonov S.L. , Pustovoi V.I.
Published: November 2019

We report a new method for manufacturing a Fabry – Perot interferometer in the form of a microcavity in the optical fibre core. The method is based on the use of the process of electric discharge fusion splicing of a conventional optical fibre and a special composite fibre having a core with a high content of phosphorus oxide. The possibility of using this interferometer as a sensitive element of a strain sensor with high temperature stability is shown.
Silica fibres activated by YAG : Nd3+ nanocrystals
Authors: Evstropiev S.K. , Aseev V.A. , Demidov V.V. , Kuz’menko N.K. , Matrosova A.S. , Khokhlov A.V. , Komarov A.V. , Dukelskii K.V. , Nikonorov N.V. , Oreshkina K.V.
Published: November 2019

We report data on the development of a polymer – salt method for the formation of aluminium yttrium garnet crystals doped with neodymium ions (YAG : Nd) inside the channels of a preform of microstructured fibre based on pure silica glass. The crystals are obtained by impregnating the channels with aqueous solutions of thermally decomposable salts (yttrium nitrate, aluminium nitrate, neodymium chloride) and an organic polymer, followed by drying and heat treatment at a temperature of 1100 °C. The resulting composite structure is drawn into the fibre at a temperature of 2000 °C. Using X-ray diffraction analysis, the presence of oriented YAG : Nd crystals ranging in size from 25 to 37 nm in the silica glass matrix of fibre is established. Measurements of the spectral dependence of optical losses in fibre show the presence of absorption bands of the optical signal, characteristic of Nd3+ ions. The shape of the luminescence spectra of nanocrystals is typical of YAG : Nd with a radiation peak at a wavelength of 1064 nm.
Coherent optical frequency-domain reflectometer based on a fibre laser with frequency self-scanning
Authors: Tkachenko A.Yu. , Lobach I.A. , Kablukov S.I.
Published: November 2019

The first results of an experimental study of a coherent optical frequency-domain reflectometer (C-OFDR) based on a simple single-frequency fibre laser with frequency self-scanning are presented. The self-scanning laser generates microsecond pulses, and its lasing frequency changes linearly with a change in the pulse number without using any actively tuned elements. In addition, the generation of each pulse occurs on only one longitudinal mode with a linewidth less than 1 MHz. This laser is characterised by a high linearity of frequency tuning, due to which reflectograms can be measured without any additional spectral correction. The C-OFDR demonstrates a possibility of attaining a spatial sampling of ∼200 μm and a reflectance sensitivity of approximately down to – 80 dB at a test line length of ∼9 m.
Aromatic and heteroaromatic azacrown compounds: advantages and disadvantages of rigid macrocyclic ligands
Authors: Zubenko Anastasia D. , Fedorova Olga A.
Published: November 2019

Current approaches to the synthesis of aromatic and heteroaromatic azamacrocycles and their derivatives are summarized and systematized. The relationship between the structure of azacrown compounds and their complexation behaviour towards metal cations is analyzed. The diversity of practical applications of azamacrocyclic derivatives in medicine, biology and analytical and organic chemistry, as well as for the design of molecular devices is demonstrated.

The bibliography includes 307 references.
Recent advances in the chemistry of pyridazine — an important representative of six-membered nitrogen heterocycles
Authors: Sergeev Pavel G. , Nenajdenko Valentin G.
Published: November 2019

The review is devoted to recent advances in the chemistry of pyridazine — a six-membered heterocycle containing two nitrogen atoms in adjacent positions. The practical significance of title compounds is demonstrated and published data of the last decade devoted to them are considered systematically. The modern synthetic approaches to pyridazine derivatives are described in detail, analyzed and classified according to the precursor molecules involved in ring closure. The chemical properties of pyridazines are considered, including both reactions of the diazine ring and reactions of various substituents attached to the ring. Particular attention is given to the application of some pyridazine derivatives as pharmaceuticals, optical materials and ligands for catalysis.

The bibliography includes 180 references.
Amending sugarcane monoculture through rotation breaks and fungicides: effects on soil chemical and microbial properties, and sucrose yields
Authors: Vuyyuru Murali , Sandhu Hardev S. , McCray James M. , Raid Richard N. , Erickson John E. , Ogram Andrew V.
Published: November 2019

Sugarcane (Saccharum spp. hybrids) monoculture was amended with leguminous rotation breaks (cowpea, Vigna unguiculata; and soybean, Glycine max) and compared with growers’ practice (sweet corn, Zea mays var. saccharata rotation; and bare fallow). After incorporation of rotation-break residues, fungicidal treatments (mancozeb, mefenoxam and azoxystrobin) were applied on seed-cane pieces laid in the furrows before row closure, with the objective of determining effects of both crop rotation and fungicides on soil properties and sugarcane agronomic performance. Aboveground biomass yields of sweet corn, soybean and cowpea were 5.54, 5.17 and 4.48 t ha–1, and carbon:nitrogen ratios of sweet corn, soybean and cowpea crop residues were 25.47, 11.92 and 11.61, respectively. Following residue incorporation, phospholipid fatty acid analyses of soil microbial communities at pre-plant and early-growth stages of sugarcane indicated significant differences in abundance of Gram-positive bacteria, actinomycetes and fungi biomarkers, whereas no differences were found in Gram-negative bacteria and arbuscular mycorrhizal fungi. At pre-planting, fungi:bacteria ratios in sweet corn and bare fallow plots were significantly higher than in cowpea or soybean rotation plots and similar to ratios at early-growth sampling. Soybean rotation produced higher cane yield than sweet corn, and both soybean and bare fallow produced higher sucrose yield than sweet corn rotation in 2016 plant cane, but no significant yield differences occurred in 2017 plant cane. The results of 2016 plant cane persisted in the 2017 first ratoon, where the sweet corn rotation had lower yields than cowpea and soybean rotations. All three fungicides significantly improved cane yield and sugar yield compared with the untreated check in plant cane, with both mancozeb and mefenoxam performing similarly in 2016, but with mefenoxam performing better in 2017 plant cane. Overall, introduction of cowpea and soybean rotations, coupled with seed-piece fungicidal application, seems a promising practice for improving sugarcane yields on Histosols.
Correlated photon-pair generation in a liquid-filled microcavity
Authors: Rönchen Felix , Langerfeld Thorsten F , Köhl Michael
Published: November 2019

We report on the realization of a liquid-filled optical microcavity and demonstrate photon-pair generation by spontaneous four-wave mixing. Our source has a spectral brightness of 45 ± 7 mW−2 s−1 MHz−1 and the bandwidth of the emitted photons is ∼300 MHz. We demonstrate tuning of the emission wavelength between 770 and 800 nm. Moreover, by employing a liquid as the nonlinear optical medium completely filling the microcavity, we observe more than a factor 103 increase of the pair correlation rate per unit pump power and a factor of 1.7 improvement in the coincidence/accidental ratio as compared to our previous measurements.
Quantum search for unknown number of target items by hybridizing fixed-point method with trail-and-error method*
Authors: Li Tan , Zhang Shuo , Fu Xiang-Qun , Wang Xiang , Wang Yang , Lin Jie , Bao Wan-Su
Published: November 2019

For the unsorted database quantum search with the unknown fraction λ of target items, there are mainly two kinds of methods, i.e., fixed-point and trail-and-error. (i) In terms of the fixed-point method, Yoder et al. [Phys. Rev. Lett. 113 210501 (2014)] claimed that the quadratic speedup over classical algorithms has been achieved. However, in this paper, we point out that this is not the case, because the query complexity of Yoder’s algorithm is actually in

O
(
1
/

λ
0

)

rather than

O
(
1
/

λ

)

, where λ
0 is a known lower bound of λ. (ii) In terms of the trail-and-error method, currently the algorithm without randomness has to take more than 1 times queries or iterations than the algorithm with randomly selected parameters. For the above problems, we provide the first hybrid quantum search algorithm based on the fixed-point and trail-and-error methods, where the matched multiphase Grover operations are trialed multiple times and the number of iterations increases exponentially along with the number of trials. The upper bound of expected queries as well as the optimal parameters are derived. Compared with Yoder’s algorithm, the query complexity of our algorithm indeed achieves the optimal scaling in λ for quantum search, which reconfirms the practicality of the fixed-point method. In addition, our algorithm also does not contain randomness, and compared with the existing deterministic algorithm, the query complexity can be reduced by about 1/3. Our work provides a new idea for the research on fixed-point and trial-and-error quantum search.
Tunneling magnetoresistance in ferromagnet/organic-ferromagnet/metal junctions
Authors: Li Yan-Qi , Kan Hong-Jun , Miao Yuan-Yuan , Yang Lei , Qiu Shuai , Zhang Guang-Ping , Ren Jun-Feng , Wang Chuan-Kui , Hu Gui-Chao
Published: November 2019

Spin-dependent transport in ferromagnet/organic-ferromagnet/metal junctions is investigated theoretically. The results reveal a large tunneling magnetoresistance up to 3230% by controlling the relative magnetization orientation between the ferromagnet and the central organic ferromagnet. The mechanism is explained by distinct efficient spin-resolved tunneling states in the ferromagnet between the parallel and antiparallel spin configurations. The key role of the organic ferromagnet in generating the large magnetoresistance is explored, where the spin selection effect is found to enlarge the difference of the tunneling states between the parallel and antiparallel configurations by comparing with the conventional organic spin valves. The effects of intrinsic interactions in the organic ferromagnet including electron–lattice interaction and spin coupling with radicals on the magnetoresistance are discussed. This work demonstrates a promising potential of organic ferromagnets in the design of high-performance organic spin valves.
Photon-in/photon-out endstation for studies of energy materials at beamline 02B02 of Shanghai Synchrotron Radiation Facility
Authors: Ren Guoxi , Zhang Nian , Feng Xuefei , Zhang Hui , Yu Pengfei , Zheng Shun , Zhou Deng , Tian Zongwang , Liu Xiaosong
Published: November 2019

A new photon-in/photon-out endstation at beamline 02B02 of the Shanghai Synchrotron Radiation Facility for studying the electronic structure of energy materials has been constructed and fully opened to users. The endstation has the capability to perform soft x-ray absorption spectroscopy in total electron yield and total fluorescence yield modes simultaneously. The photon energy ranges from 40 eV to 2000 eV covering the K-edge of most low Z-elements and the L-edge of 3d transition-metals. The new self-designed channeltron detector allows us to achieve good fluorescence signals at the low photon flux. In addition, we synchronously collect the signals of a standard reference sample and a gold mesh on the upstream to calibrate the photon energy and monitor the beam fluctuation, respectively. In order to cross the pressure gap, in situ gas and liquid cells for soft x-ray absorption spectroscopy are developed to study the samples under realistic working conditions.
High-throughput fabrication and semi-automated characterization of oxide thin film transistors
Authors: Han Yanbing , Bauers Sage , Zhang Qun , Zakutayev Andriy
Published: November 2019

High throughput experimental methods are known to accelerate the rate of research, development, and deployment of electronic materials. For example, thin films with lateral gradients in composition, thickness, or other parameters have been used alongside spatially-resolved characterization to assess how various physical factors affect the material properties under varying measurement conditions. Similarly, multi-layer electronic devices that contain such graded thin films as one or more of their layers can also be characterized spatially in order to optimize the performance. In this work, we apply these high throughput experimental methods to thin film transistors (TFTs), demonstrating combinatorial channel layer growth, device fabrication, and semi-automated characterization using sputtered oxide TFTs as a case study. We show that both extrinsic and intrinsic types of device gradients can be generated in a TFT library, such as channel thickness and length, channel cation compositions, and oxygen atmosphere during deposition. We also present a semi-automated method to measure the 44 devices fabricated on a 50 mm×50 mm substrate that can help to identify properly functioning TFTs in the library and finish the measurement in a short time. Finally, we propose a fully automated characterization system for similar TFT libraries, which can be coupled with high throughput data analysis. These results demonstrate that high throughput methods can accelerate the investigation of TFTs and other electronic devices.
Value at risk in the black litterman portfolio with stock selection through cluster analysis
Authors: Subekti R , Ratna Sari E , Kusumawati R , Pintari H O , Renggani P
Published: November 2019

The aim of this paper is to support the new strategy in the previous research where Black Litterman procedure is assisted by clustering for the process of given views. We provide the empirical result and focus on how to compute the Value at Risk (VaR) to illustrate the risk measure on Black Litterman as a reference portfolio.
Misconceptions of Derivative and Integration Techniques among Engineering Students: A Case Study
Authors: Zehra A , Abbasi S J
Published: November 2019

This study examines and identifies the problems faced by engineering students in Pakistani universities to learn derivatives and integrations techniques in their first semester calculus course. The study based on data collected from 250 engineering students. In the process of data analyzing students’ misconceptions lie as follows:1) Product and quotient rules of derivatives were applied on integration problems. 2) ln Function was integrated by using derivative techniques. 3) Integrations of trigonometric functions were evaluated by using derivative techniques. 4) Students were found confused in the derivatives and integration using substation techniques. The results of this study will identify the students’ problems and will help them getting clear insight to improving their technology aided learning skills.
Analysis of Factors Affecting the Health Insurance Ownership with Binary Logistic Regression Model
Authors: Astari D W , Kismiantini
Published: November 2019

Having health insurance is an important decision for enjoying the security of a safe future. Health insurance can protect people from a large amount of medical costs. More Indonesian have health insurance now a days than ever before since the government is committed to supporting the universal health care. This study aims to determine factors affecting the health insurance ownership and to understand their relations in Indonesia using a binary logistic regression model. The data used in this study came from the fifth wave of the Indonesian Family Life Survey (IFLS). There were 29,508 respondents where 14,653 among them have health insurance. The logistic regression model suggested that job, education, chronic condition, marital status, and inpatient care were statistically significant to the health insurance ownership (yes/no), while not significant for gender and health condition. Fitting the logistic regression model with age as the only explanatory variable yielded that the probability of having health insurance increased in line with age.
Implementing ordinal regression model for analyzing happiness level in Indonesia
Authors: Pratiwi N M , Kismiantini
Published: November 2019

Happiness can be an indicator of social progress achievement in developing a country. Understanding factors affecting the level of happiness in a country become important in the study of subjective well-being. This study aims to determine factors that influence happiness in Indonesia using the fifth wave of Indonesian Family Life Survey (IFLS) data. From the national data of 29,336 participants in 13 provinces were reported that 13.4% of the participants responded they were very happy, 78.6% were happy, 7% were unhappy, and 1% were very unhappy. Ordinal regression models in particular proportional odds models were implemented on analyzing factors of the four levels of happiness. The significant variables associated with happiness were age, marital status, job status, education, satisfaction, economic level, health, and religious variables. Sex, hopeful, personality, and social relation were not significantly associated with people’s happiness. Happy people have higher probabilities of happiness than others. Very happy appeared to have lower probabilities of happiness as their ages increasing, while in contrast to unhappy and very unhappy people.
Coffee prices behavior in the Indonesian market and its implication to derivatives pricing
Authors: Binatari N , Latip A
Published: November 2019

Indonesia is one of the main producers of agricultural commodities including coffee. Whereas the physical market of coffee in Indonesia, as a commodity, has been existed for centuries, the derivative market of coffee has just begun to appear recently as the result of demand growth for local market and export purpose. The paper market emerges as the outcome of the need of the producers, suppliers, and buyers to hedge against the risk of the availability and the prices volatility of coffee. In this growing commodity derivative market, it is important to examine the regular pattern and behavior of the coffee price for pricing purpose of its derivatives, especially in the specific case for the Indonesian market. This paper analyses the spot, futures, and option of coffee in Indonesia. The coffee spot price process is presented along with the parameters and its implication to derivatives pricing.
VND in CVRP, MDVRP, and VRPTW cases
Authors: Satyananda D , Wahyuningsih S
Published: November 2019

Vehicle Routing Problem (VRP) has an important role in logistics distribution from the depot to the customer, to get the minimum cost delivery route. To get optimal results, it is necessary to improve route from the initial solution. Variable Neighbourhood Descent (VND) is one of the metaheuristics that examine of a number of neighbourhood operators to get the optimal route. A VRP route is called optimal if there are no other routes that can be generated from all the neighbourhood operators used in VND. This article describes the application of VND to get the optimal route on CVRP, MDVRP, and VRPTW. The results of the experiment on some test data used indicate that VND can be used to get more optimal length and travel time route.
Modify Variational Iteration Method for Solving Heat Equations
Authors: Saptaningtyas F Y , Ahmadi
Published: November 2019

The Variational Iteration method (VIM) is one of the semi approximation procedure to solve numerous differential problems. Many literatures shows that this method need to be rectify to get preferable results. This research would like to modify VIM on the replacement the initial value in each steps. Although this method enact the algorithm more complex, but modify VIM gives good outcomes peculiarly in long time intervals. We compare the solutions with the analytical solution using separation variable. The results denotes that both of the VIM and modify VIM have small error in solving heat equation in Dirichlet boundary. It could be seen that the modify VIM give better solutions instead of VIM.
Computer Assisted Learning on Aridity Disaster Learning Using SIMIA (Satellite Imagery for Modelling Index of Aridity)
Authors: Paseleng M C , Prasetyo S Y J , Hartomo K D
Published: November 2019

The purpose of this study is to develop Computer Assisted Learning (CAL) to identify aridity using Satellite Imagery Modelling Index of Aridity (SIMIA) media. SIMIA is a system used to model area of aridity by using of rainfall data from observation of rain and vegetation index extracted by satellite image of LANDSAT 8 OLI and Google Satellite. SIMIA learning planning is performed using procedures of Analyzed, Standardized, Strategy, Utility, Require, and Evaluate (ASSURE). The results show that the ASSURE learning plan is more systematic, it attracts the attention of the participants; it can illustrate the goal to be achieved as determined by the learning achievements. The SIMIA CAL learning plan using ASSURE allows for the selection and delivery of appropriate, timely (pedagogical) content, the use of technology is appropriate to the needs of learners (technology) and the interaction is created between learners and instructors.
A comparison between Cole-Hopf Tranformation and Homotopy Perturbation Method for Viscous Burger Equation in Traffic Flow
Authors: Binatari N
Published: November 2019

This paper presents the comparison of Cole-Hopf transformation and Homotopy Perturbation Method for solving viscous Burgers Equation in traffic flow problems. A problem is presented to demonstrate the differences. The result shows that even though Cole-Hopf transformation brings exact solution for all cases, the formula is in complicated form. Compared to this, Homotopy Perturbation Method is more effective to solve burger equation with boundary condition in traffic flow problems.
Biometric Patterns Of Eye Iris By Using Hidden Markov Model
Authors: Waryanto N H , Andayani S , Fauzan M , Wulandari T
Published: November 2019

Biometrics is an individual recognition system that consists of two kinds of modern and traditional. A biometric system is essentially a personal identification system by determining the authenticity of a physiological characteristic, or a particular behavior that the user possesses. Such biometric technology is defined as an automated method of identifying and authenticating a person’s identity based on the user’s physiological and behavioral characteristics. The purpose of this research is to know the accuracy level of iris pattern identification using Hidden Markov Model with Gabor wavelet method, to know the iris feature extraction process as part of image processing process using Gabor wavelet method. The method used for data processing is by using Hidden Markov Model, Gabor Wavelet and 2D Order Statistic Filter. The accuracy of the iris identification system indicates that using the Hidden Markov Model with the Gabor Wavelet filter provides a lower accuracy value than using the 2D Order Statistic Filter (ORDFILT2). Gabor Wavelet filter gives 91.50% accuracy level while ORDFILT2 Filter gives 98.5% result.
Developing Students’ Mathematical Literacy through Problem Based Learning
Authors: Junianto  , Wijaya A
Published: November 2019

The modern era requires more than just conceptual and procedural knowledge. Many studies such as the Program for International Student Assessment (PISA) emphasize the importance of individual’s ability to apply their conceptual and procedural knowledge. Such competence in mathematics is referred to as mathematical literacy. With this respect, the present study is aimed to explore the possibility of Problem Based Learning (PBL) as a means to develop students’ mathematical literacy. For this aim, a literature review was used for which 11 research articles on the effectiveness of Problem Based Learning (PBL) in learning several mathematical competences were selected and reviewed. By focusing on the common characteristics between the mathematical competences reported in the 11 articles and the characteristics of mathematical literacy, the literature review show that PBL has a potential to develop students’ mathematical literacy. Variables in the 11 articles like critical thinking, creative thinking, students’ understanding, and mathematical communication are related to fundamental capabilities in mathematical literacy. The result of this studies prove that the use of PBL from elementary school to university level can improve students’ mathematical literacy skills.
A Comparative Analysis of Indonesian and Singaporean Mathematics Textbooks from the Perspective of Mathematical Creativity: A Case Statistics and Probability
Authors: Ramelan M , Wijaya A
Published: November 2019

Mathematical creativity is very important in this 21st century competition. This skill can be taught and facilitated through a supported textbook. There is a relationship between textbooks used and mathematics achievement of the students. To what extent students’ creative thinking can be seen in the tasks of the textbooks. This study compared the mathematical creativity for the topic of probability in Junior High School (JHS) Indonesian and Singaporean mathematics textbooks. Textbooks will be analyzed from the perspectives of originality, fluency, flexibility, and elaboration aspects. Indonesian mathematics textbooks and Singaporean mathematics textbooks both facilitate mathematical creativity. Indonesian textbooks can facilitate three of four aspect creativity and Singaporean mathematics textbooks two of four aspect creativity. There are many tasks that supported more than one aspect of mathematical creativity but all mathematics textbook were analyzed doesn’t support fluency aspect. Singaporean textbook has 18% task that facilitated mathematical creativity and Indonesian mathematics textbook has 10%. The finding showed that Singaporean textbooks more facilitate thinking of students’ mathematical creativity.
The Impact of Discovery Learning on Students’ Mathematics Learning Outcomes
Authors: Kamaluddin M , Widjajanti D B
Published: November 2019

The aim of this study is to describe the impact of discovery learning on students’ mathematics learning outcomes. Empirical evidence of the positive impact of this method was collected from the results of searching in reputable online journal database and synthesized using a systematic literature review method. Twenty articles were found that meet with the following criteria: (1) research articles containing empirical evidence of the impact of discovery learning on students’ mathematics learning outcomes, (2) articles published in the period 2000-2018, (3) the subject of research is a group of students on formal education from elementary school to higher education. The selected articles are further synthesized and analyzed. The result of the review shows that discovery learning has a positive impact on students’ mathematics learning outcomes on cognitive, affective, and psychomotor aspects. Each step in discovery learning has an important role in learning mathematics. However, to develop the student’s particular ability or skill, the teachers should emphasize certain steps that have the greatest potential to improve them, without eliminating other steps.
Identification of Misconceptions in Middle School Mathematics Utilizing Certainty of Response Index
Authors: Hayati R , Setyaningrum W
Published: November 2019

Student’s understanding of a material concept differs one to the others. This comprehension will be used to learn the next material. Thus, it is important to know whether or not the student understands a mathematical concept. The aim of the research is to identify students’ misconceptions in mathematics and the possible causes of misconceptions. This qualitative case study approach used a multiple choices test given to 53 middle school mathematics students in grade 9 in Yogyakarta, Indonesia. The identification of students’ misconceptions was based on the Certainty of Response Index (CRI) technique. The result showed that 20.9% of students had misconceptions in working mathematical problems. Meanwhile, the percentage of lucky guess, knowledge of correct concepts and lack of knowledge respectively is 18.8%, 32.7%, and 27.6%. The data indicated that students had misconception in classifying objects based on fulfilling requirements that form concepts, determining the right concepts to solve problems, distinguishing the necessary conditions and/or sufficient conditions for the concept of a circle. The result suggests that in the learning process students should be trained to understand the concept well, not only memorize the material. Furthermore, teachers and students should be given adequate interaction during the learning process.
The role of spatial experience in mental rotation
Authors: Hertanti A , Retnawati H , Wutsqa D U
Published: November 2019

Mental rotation is one of spatial reasoning ability. It is the ability of a person to imagine how objects of a two- or three-dimensions look like when rotated in a specific degree. Not only due to curriculum demand, mental rotation is also essential for Mathematics itself, such as in geometry. In addition, it also helps students for their future career, such as architects, computer programmers, and graphic designers. This study aims to describe the mental rotation of female and male students who have spatial experiences with those who do not have spatial experience. The data were collected using Mental Rotation test and interview and were analysed qualitatively. A total of 10 post-graduate students were interviewed in a semi-structural way. The results showed that spatial experience has an important role in improving one’s mental rotation.
Learning Obstacles among Indonesian Eighth Graders on Ratio and Proportion
Authors: Wahyuningrum A S , Suryadi D , Turmudi T
Published: November 2019

Many studies reported that the students lack understanding on the topic of ratio and proportion. This topic basically becomes a cornerstone for understanding the other mathematics topics, developing mathematical skills, and helping the students to solve real-life problems, but many researchers have documented the obstacles regarding this topic. For such a reason, this study intends to investigate kinds of learning obstacles on the topic of ratio and proportion that can emerge due to some causes. It was part of didactical design research which was conducted to eighth graders who had already been taught about its topic. The data were collected from students’ answer and interview in solving ratio and proportion problems. The data analysis reveals that the obstacles are classified into ontogenic obstacle, didactical obstacle, and epistemological obstacle. It can be identified from students’ understanding or conception about ratio and proportion which was caused by students’ prior knowledge, didactical practices, or the lack of contexts. These findings are expected to overcome learning obstacles in teaching and learning of ratio and proportion.
The design of sketchup software-aided generative learning for learning geometry in senior high school
Authors: Jaelani A , Kusumah Y S , Turmudi
Published: November 2019

Geometry learning needs to be observed by teachers and researchers because students often experience difficulties. At present, learning mathematics that utilizes technology is a challenge for them. This paper describes design of SketchUp software-aided generative learning for learning geometry about distance and angle in space in Senior High School. The data were collected from learning observation and interview with lecturers, teachers, and students. Its analyses were data display, data reduction, and drawing conclusion. Research prosedures were designing, validation, revising, conducting learning trial, and revising. It had produced the technical structures and descriptions of learning and learning instruments including SketchUp files supporting them and was ready to disseminate in larger students learning communities in senior high school.
How Indonesian and Singaporean Students (might) Learn the Pythagorean Theorem: A Comparative Analysis of Textbooks
Authors: Wijaya A
Published: November 2019

Textbook is considered as a potentially implemented curriculum because it mediates between the intended curriculum and teachers’ classroom practices. Textbooks heavily influence the teaching and learning process that, consequently, implies students’ achievement. A number of studies show the relationships between students’ mathematics achievement and the textbooks they use during the learning processes. The present study reports a comparative analysis of Indonesian and Singaporean textbooks for the topic of the Pythagorean Theorem. An Indonesian mathematics textbook and a Singaporean mathematics textbook for junior high schools were analyzed. The results of the textbook analysis show that both textbooks used activities-based and context-related explanation section. Although Indonesian and Singaporean textbooks included context, the purpose of context in both textbooks were different.
Metacognitive awareness: how it affects mathematical problem-solving process
Authors: Arum Rahmi Puspita , Widjajanti Djamilah Bondan , Retnawati Heri
Published: November 2019

Problem-solving is one of the basic skills in learning mathematics where in the process needs awareness in every step. Metacognitive awareness means to be aware of how to think. This study aimed to know the effect of metacognitive awareness in the mathematical problem-solving process. This is a descriptive-qualitative study. The samples of this study are 10 students. Data of metacognitive awareness were collected using questionnaire adapted from Metacognitive Awareness Inventory (MAI) developed by Schraw and Dennison, data about mathematical problem-solving process were based on the test result. The MAI measures two components which include the knowledge about cognition and the regulation of cognition. The results indicate that the two components of metacognitive awareness, that is knowledge about cognition and regulation of cognition gave the effect to mathematical problem-solving students especially for regulation of cognition. The Student with high levels of regulation of cognition is able to reach a more complete problem-solving process than the students with medium levels of regulation of cognition.
An analysis of students’ mathematical reasoning ability in statistic problem solving based on structure of the observed learning outcome taxonomy
Authors: Lestary R , Subanji  , Rahardi R
Published: November 2019

This research was done to describe students’ ability toward mathematical reasoning in solving statistics test within mean material based on structure of the observed learning outcome (SOLO) taxonomy. There were two participants in this research who have the highest score and the average score. This research was used descriptive qualitative. The collecting data in this research were got from students’ answer sheets and interview. Each question in the test was made based on the indicator in stages of SOLO taxonomy. The interview guidelines used in this test was adapted from the list of questions in Newman analysis procedure. The collected data were analyzed by using qualitative analysis technique, particularly the model of interactive analysis technique. The result shows that the high achiever student stands in the extended abstract stage in SOLO taxonomy when solving the statistics test within mean material, meanwhile the other student belongs to the multi-structural stage of SOLO taxonomy when solving the question about mean.
Analysis of student’s error in resolving the Pythagoras problems
Authors: Sari R H Y , Wutsqa D U
Published: November 2019

This study aims to describe the error made by students in solving Pythagoras questions, to analyse the factors that cause the students to make those errors, and to identify whether students are able to associate trigonometric concepts with Pythagoras. The subject of this study was the eleventh grade students of SMP Negeri 1 Yogyakarta Academic Year 2018/2019. There were 31 samples of students taken as the object of the research. The data collection used was a test. The classification of students’ errors type was done based on Newman process skill errors, inaccuracy, errors in understanding the questions’ intention and errors in the use of notation or misconception. The data analysis technique of the research was conducted through data reduction, data presentation and conclusion. The results showed that the errors percentage in the process was 38%. The less accurate percentage was 25%. The percentage of errors in understanding the intent of the problem was 10%. The percentage of errors in the use of notation was 15%. The percentage in misconception was 12%. The type of errors made by the students were: (1) students not know the meaning of symbols. (2) students not know the purpose of the question. (3) students not know the formula used in problem solving. (4) students cannot solve problems in the algorithm. (5) students cannot solve the problem according to the questions and some students are not able to associate the concept of pythagoras with trigonometry.
Relationship between self-efficacy and mathematical connection ability of junior high school students
Authors: Trihatun S , Jailani
Published: November 2019

This study examines the relationship between self-efficacy and mathematical connection ability. This research used survey method with analytical technique correlational. The population in this study were VII grade students in Yogyakarta. As for the sample of this research are 70 seventh grader students, using technique of purposive random sampling. In this study, the research instrument used is a test of mathematical connection and Self-efficacy questionnaire. Data is analysed quantitatively using the Pearson correlation formula. The results of the study, there was a positive relationship between mathematical connection ability and mathematical self-efficacy of students.
The identification of students’ didactic obstacles in learning fractions based on the form of the problems
Authors: Sugiman  , Murdiyani N M
Published: November 2019

This study aims at knowing whether there are didactic obstacles in learning fractions of students in Yogyakarta based on the form of the problems. Those problems include visual, narrative, and symbolic forms. Materials of fractions consist of the concepts of fractions, equivalent fractions, the order of fractions, decimals, percents, addition of fractions, subtraction of fractions, multiplication of fractions, and division of fractions. The method of this study is survey with expost facto approach. The populations are students of Junior High School grade VII in Yogyakarta. The samples are 151 students from four schools in Yogyakarta. The choice of sample is done by stratified proportional random sampling technique. The instrument is diagnostic test with 27 questions that divide into 9 visual forms, 9 narrative forms, and 9 symbolic forms. Based on the result, students have didactic obstacles in visual forms and narrative forms. While in symbolic forms, students did not have didactic obstacles.