bluuebunny/crossref_metadata_2025 huggingface dataset:
Manejo de falha óssea em fratura da região distal do fêmur pela técnica de Masquelet com enxerto de fíbula associado a enxerto de crista ilíaca: Relato de dois casos
Authors: Pimenta Frederico Silva , Prudêncio Tardelli Lapaz da Silva , Ferreira Gustavo Pacheco Martins , de Barros Alessandro Cordoval , Caldas Marco Túlio Lopes , Rodrigues Heitor Maia
Published: June 2020

Dois casos de falha óssea após fratura da região distal do fêmur tratados pela técnica de Masquelet são apresentados. O primeiro caso envolve uma perda óssea aguda, e o segundo, uma pseudoartrose. O manejo adequado dessas lesões levou à consolidação e a um bom resultado funcional.
Cleft Nucleus Lymphocytosis in Young Infants with Pertussis
Authors: Zhu Huifang , Liao Hongqun , Zhong Xiaoming , Rao Xingyu , Yang Xin , Luo Kaiyuan
Published: June 2020

This study aims to assess whether the cleft nucleus lymphocytosis could be an early promising clue for the diagnosis of pertussis in young infants. Pertussis (whooping cough) is a severe respiratory disease mainly caused by Bordetella pertussis infection and is characterized by a significant rise in the number of leukocyte and lymphocyte in infants and young children. In this study, the Bordetella pertussis DNA was detected from samples of pharyngeal swab by PCR assay. Levels of serum specific IgM against other respiratory pathogens were detected by Enzyme-linked immunosorbent assay (ELISA) assay. The routine blood test including numbers of leukocytes, lymphocytes, and platelets etc. were tested by automatic hemocyte analyzer (Sysemx XN1000). Besides, the morphology of leucocytes was observed in peripheral blood smear with microscope by Wright-Giemsa stain. Three cases of pertussis with cleft nucleus lymphocytes in young infants were discussed in in the neonatal/pediatric intensive care unit in our hospital. Leukocytosis characterized by lymphocytes, as well as thrombocytosis were observed in all patients. Our results demonstrated that cleft nucleus lymphocytosis accompanied with leukocytosis and lymphocytes would be potent assistant indicators for the early diagnosis of pertussis in young children.
Acute Gonococcal Osteomyelitis and Arthritis of Hip: An Interesting Case and Review of Literature
Authors: Agarwal Nikki , Abughali Nazha , Chotikanatis Kobkul
Published: June 2020

Gonorrhea is the most common sexually transmitted disease globally, affecting both men and women equally. It has a myriad of presentations which can vary from local disease to disseminated gonococcal infection. We are reporting the first case of gonococcal arthritis leading to acute osteomyelitis of the femoral head in a young adult with Charcot-Marie-Tooth disease that occurred over a period of 2 weeks. Gonorrhea can affect joints and cause arthritis, and there have been case reports of untreated gonococcal arthritis leading to osteomyelitis after months. Here we report the first case of acute gonococcal spread to the bones causing osteomyelitis in a young adult. A high index of suspicion is needed to recognize this condition which if left unnoticed, can lead to erosive bone damage, and severe consequences.
Association of Cerclage with Composite Adverse Outcomes among Women Delivered at 36 Weeks or Later
Authors: Stephens Angela J. , Chen Han-Yang , Chauhan Suneet P. , Sibai Baha
Published: June 2020

Objective This study aimed to compare the maternal and neonatal adverse outcomes among singletons delivered at 36 weeks or later with cerclage during index pregnancy versus those without cerclage.

Study Design This retrospective cohort study utilized the U.S. vital statistics datasets from 2011 to 2013. Inclusion criteria were women with nonanomalous singletons, with and without cerclage placement, without diabetes or hypertensive disorders, and delivered at 36 to 41 weeks. The coprimary outcomes were composite maternal and neonatal adverse outcomes. Composite maternal adverse outcome included admission to intensive care unit, maternal transfusion, ruptured uterus, unplanned hysterectomy, or unplanned operating room procedure. Composite neonatal adverse outcome included Apgar score less than 5 at 5 minutes, assisted ventilation for more than 6 hours, neonatal seizure, birth injury, or neonatal death. Secondary outcomes were chorioamnionitis and cesarean delivery. Multivariable Poisson's regression models with error variance were used while adjusting for confounders. Adjusted relative risk (aRR) with 95% confidence intervals (CIs) were calculated.

Results Of the 8,508,228 women who met inclusion criteria, 0.2% had a cerclage and reached 36 weeks. Composite maternal (aRR: 2.04; 95% CI: 1.76–2.36) and neonatal (aRR: 1.28; 95% CI: 1.11–1.47) adverse outcomes were significantly higher among those with cerclage than those without cerclage. Chorioamnionitis (aRR: 1.47; 95% CI: 1.30–1.67) and cesarean delivery (aRR: 1.10; 95% CI: 1.08–1.12) were also significantly higher in women with cerclage than those without cerclage.

Conclusion There is an association between increased composite maternal and neonatal adverse outcomes among women with cerclage who delivered at 36 to 41 weeks as compared with those without cerclage.

Key Points
Extended Duration Ketamine Infusions in Critically Ill Children: A Case Report and Review of the Literature
Authors: Moore Eszter , Mayes Rebecca , Harkin Maura , Miller Jamie L. , Johnson Peter N.
Published: June 2020

Ketamine is an N-methyl-D-aspartate receptor antagonist that has been used as an adjunct analgesic and sedative in critically ill children. Previous reports noted that ketamine has been used for a variable duration of 12 to 408 hours for this indication. We report on the use of ketamine infusions for >720 hours as a second-line sedative in addition to an opioid and dexmedetomidine infusion in a 2-month old and 17-month old. The purpose of this case report and review of the literature is to highlight the prolonged ketamine exposure of these two patients and to provide awareness to clinicians on the potential of withdrawal with extended ketamine administration. These children were started on initials doses of 5 and 15 µg/kg/min and titrated to peak doses of 20 and 25 µg/kg/min, respectively. They were continued for a total of 987 and 792 hours, respectively. No adverse events were noted during the ketamine infusions. One patient developed possible withdrawal symptoms 17 hours after ketamine discontinuation despite tapering of the infusion. These symptoms resolved with administration of as needed intravenous opioids and benzodiazepines, and the agitation normalized within 24 hours after ketamine discontinuation. Clinicians should consider tapering ketamine infusions in children receiving >72 hours of a continuous infusion by 5 µg/kg/min every 8 to 12 hours. Patients should be monitored for potential withdrawal symptoms including anxiety, allodynia, hyperalgesia, sweating, and drowsiness.
Association between rs1421085 and rs9939609 Polymorphisms of Fat Mass and Obesity-Associated Gene with High-Density Lipoprotein Cholesterol and Triglyceride in Obese Turkish Children and Adolescents
Authors: Inandiklioğlu Nihal , Yaşar Adem
Published: June 2020

Several studies have shown that rs9939609 and rs1421085 in fat mass and obesity-associated (FTO) gene rs17782313 and rs12970134 in melanocortin-4 receptor (MC4R) gene influence obesity. In the present study, we aimed to determine association between rs9939609, rs1421085, rs17782313, and rs12970134 polymorphism, and their relation with body mass index (BMI), glucose, insulin, homeostasis model assessment of insulin resistance (HOMA-IR) and lipid values in obese children. We included 100 newly diagnosed obese children and 100 healthy children. The rs1421085 (CC/CT) (p = 0.019) and rs9939609 (AA/AT) (p = 0.002) polymorphism regions were higher in the obese group. Additionally, we found that both the rs1421085 (CC/CT) and rs9939609 (AA/AT) polymorphism associated with high-density lipoprotein cholesterol (p = 0.011 and p = 0.003) and triglycerides (p = 0.01 and p = 0.004) level, respectively. Further, the rs9939609 and rs1421085 variants of FTO gene associated with HDL-cholesterol and triglycerides levels in obese children; however, updated studies with a large sample size are required to establish strong links with genetic variants and risk factors in childhood obesity.
Test, modeling, and analysis of air-coupled ultrasonic transducer based on piezoelectret film
Authors: Zhang Fenglin , Pan Yongdong , Zhao Jinfeng , Zhang Xiaoqing
Published: June 2020

Piezoelectrets, a new type of electromechanical transducer material with low acoustic impedance and high piezoelectric d33 and g33 coefficients, are promising candidates for developing high-performance air-coupled ultrasonic transducers. In this work, we design polypropylene-piezoelectret-film based air-coupled transducers (ACTs) with two different structures and investigate the influence of boundary conditions of the film with experimental measurement, electromechanical equivalent circuit modeling (EECM), and finite element analysis (FEA) for both inverse and direct piezoelectric effects. The experimental data are in great agreement with the results of EECM and FEA. The resonant frequency of the ACT with a free-front-clamped-back (FFCB) film is about half of that of the device with a free-front-free-back (FFFB) film, the response peak of the FFCB device is higher than that of the FFFB device, and the −3dB bandwidth of the former is much narrower than that of the latter. The results show that the experimental measurements can be predicted by EECM and FEA, which can provide the basis for the development of high-performance air-coupled ultrasonic transducers based on piezoelectret films.
Graphene-incorporated aluminum with enhanced thermal and mechanical properties for solar heat collectors
Authors: Pradhan Sunil Kumar , Sahoo Mihir Ranjan , Ratha Satyajit , Polai Balaram , Mitra Arijit , Sathpathy Bijoy , Sahu Arun , Kar Subrat , Satyam Parlapalli V. , Ajayan Pulickel M. , Nayak Saroj Kumar
Published: June 2020

A simple yet innovative approach has been made through a powder metallurgy route for the synthesis of aluminum–graphene (Al–Gr) composite materials for commercially viable solar thermal collectors. The Al–Gr composite (with 1 wt. % of graphene filler content) recorded an enhanced thermal conductivity of ∼280 W/mK, which is higher than that of pristine Al (∼124 W/mK), at room temperature. It has also been found that the prepared composite has a lower coefficient of thermal expansion. The structures and morphologies of the composites have been investigated in detail with the help of X-ray diffraction technique, field-emission scanning electron microscopy, energy-dispersive X-ray spectroscopy, Raman spectroscopy, etc. Furthermore, the density measurements showed that the composites retain ∼97.5% of the density of pristine aluminum even after the sintering treatment. X-ray micro-computed tomography revealed the structural integrity and non-porous nature of the samples, free from any defects and deformations. The thermal fusing of Al-based composite materials at 630 °C is found to be satisfactory with the required strength, and the composites showed at least ∼125% increase in the thermal conductivity than that of pristine Al. These results suggest that the Al–Gr composites can be deployed as solar thermal collectors and heat sink materials for thermal dissipation.
Flow field reconstruction and prediction of the supersonic cascade channel based on a symmetry neural network under complex and variable conditions
Authors: Li Yunfei , Chang Juntao , Kong Chen , Wang Ziao
Published: June 2020

A data-driven model containing a symmetrical deep neural network is proposed to reconstruct the flow field structure in a cascade channel by measuring discrete pressure values on the wall of the supersonic cascade channel. The model designed is to demonstrate that the deep neural network can realize the reconstruction and prediction of the flow field structure in the supersonic cascade channel under complicated and changing working conditions. The dataset used for model training is derived from numerical simulation of the supersonic cascade channel. The symmetrical model includes a transposed convolution part and a conventional convolution part, which, respectively, implement up-sampling of the pressure data and further extraction of features. The generalization ability and scalability of the model are analyzed from the contour plots of the pressure and density gradient. In order to verify the ability of the model to reconstruct unknown operating conditions, the organizational form of the training set and testing set has been specially designed to achieve the ability of interpolating outwards. In the testing set, the symmetrical model has a certain ability to realize extrapolation and prediction, and the flow field structure can be accurately reconstructed by using the discrete pressure values on the wall surface of the cascade channel. Moreover, to accurately evaluate the regression model proposed by this study, the correlation analysis was also applied in this study. The results show that the worst linear correlation coefficient is 0.9848 in the testing set, indicating that the model has satisfactory ability to reconstruct and predict the flow field.
The influence of weather and moon phase on small mammal activity
Authors: Senior Katharine L. , Ramsauer Julia , McCarthy Michael A. , Kelly Luke T.
Published: June 2020

Small mammals are commonly surveyed using live trapping but the influence of weather conditions on trap success is largely unknown. This information is required to design and implement more effective field surveys and monitoring. We tested the influence of weather and moon phase on capture rates of small mammals in the Murray Mallee region of semi-arid Australia. We used extensive pitfall trapping data collected at 267 sites, totalling 54 492 trap-nights. We built regression models to explore the relationship between the capture rates of five species and daily meteorological conditions, and across families of mammals, including dasyurids, burramyids and rodents. A relationship common to several taxa was the positive influence of high winds (>20 km h−1) on capture rates. We also identified differences between taxa, with warmer overnight temperatures increasing capture rates of mallee ningaui but decreasing those of Bolam’s mouse. This makes it difficult to determine a single set of ‘optimal’ meteorological conditions for surveying the entire community but points to conditions favourable to individual species and groups. We recommend that surveys undertaken in warmer months encompass a variety of meteorological conditions to increase capture rates and provide a representative sample of the small mammal community present in a landscape.
New approach for reproductive toxicity assessment: chromatoid bodies as a target for methylmercury and polychlorinated biphenyls in prepubertal male rats
Authors: Garcia M. S. , Orcini W. A. , Peruquetti R. L. , Perobelli J. E.
Published: June 2020

This study investigated the reproductive toxicity of methylmercury (MeHg) and Aroclor (Sigma-Aldrich), alone or in combination, following exposure of prepubertal male rats considering the chromatoid body (CB) as a potential target. The CB is an important molecular regulator of mammalian spermatogenesis, primarily during spermatid cytodifferentiation. Male Wistar rats were exposed to MeHg and/or Aroclor , according the following experimental design: control group, which was administered in corn oil (vehicle) only; MeHg-treated group, which was administered 0.5mg kg−1 day−1 MeHg; Aroclor-treated group, which was administered 1mg kg−1 day−1 Aroclor; Mix-LD, group which was administered a low-dose mixture of MeHg (0.05mg kg−1 day−1) and Aroclor (0.1mg kg−1 day−1); and Mix-HD group, which was administered a high-dose mixture of MeHg (0.5mg kg−1 day−1) and Aroclor (1.0mg kg−1 day−1). MeHg was diluted in distilled water and Aroclor was made up in corn oil (volume 1mL kg−1). Rats were administered the different treatments from PND23 to PND53 by gavage, . The morphophysiology of CBs was analysed, together with aspects of steroid hormones status and regulation, just after the last treatment on PND53. In addition, the long-term effects on sperm parameters were assessed in adult animals. MeHg exposure increased mouse VASA homologue (MVH) protein levels in seminiferous tubules, possibly affecting the epigenetic status of germ cells. Aroclor produced morphological changes to CB assembly, which may explain the observed morphological defects to the sperm flagellum and the consequent decrease in sperm motility. There were no clear additive or synergistic effects between MeHg and Aroclor when administered in combination. In conclusion, this study demonstrates that MeHg and Aroclor have independent deleterious effects on the developing testis, causing molecular and morphological changes in CBs. To the best of our knowledge, this is the first study to show that CBs are targets for toxic agents.
Application of Banach Contraction Principle in Complex Valued Rectangular b-Metric Space
Authors: Sunarsini  , Biahdillah Aufa , Surjanto Sentot Didik
Published: June 2020

In this paper, we introduce the new generalization of metric space called complex valued rectangular b-metric space. This space generalize the triangle inequality properties to rectangular inequality with a constant s ≥ 1 and partial order concept in complex numbers. We also give a real example of Banach contraction principle in complex valued rectangular b-metric space at linear equation system, especially in electrical circuit.
Modeling of infant mortality in west sulawesi using zero inflated poisson regression method
Authors: Annisa R , Permatasari EO , Rumiati A T
Published: June 2020

The number of infant deaths, one of which can be reflected in the Infant Mortality Rate (IMR) is one indicator to determine the development of a country’s development. The AKB target in the 2015-2019 National Medium-Term Development Plan is 24 deaths per 1,000 live births. Based on the SDKI 2017, the IMR value in West Sulawesi is 42 deaths per 1,000 live births. Factors suspected of affecting infant mortality in West Sulawesi are not only in the health but also in socio-economic fields. Data on the number of infant mortality in West Sulawesi is a data count that contains a value of 0. Therefore, the analysis used is Zero Inflated Poisson (ZIP) Regression to determine what factors influence infant mortality in West Sulawesi. The results of the ZIP regression analysis showed that the best model with the smallest AIC and AICc is 324,3407 and 326,7407 were models with a combination of the variables of the percentage of active maternal and child health services, percentage of society with good drinking water adequate access and percentage of society with proper sanitation access. The variable that has a significant effect on the log model is the percentage of active maternal and child health services, percentage of society with good drinking water adequate access and percentage of society with proper sanitation access. In the variable logit model that is influential is the percentage of active maternal and child health services.
Design and application of reuse stage algorithm of case-based reasoning method on container stowage planning
Authors: Pratama A , Mukhlash I , Nugroho S
Published: June 2020

Stowage planning is a container arrangement planning activity on container ships. The Case-Based Reasoning method can solve the newest stowage plan cases by taking a stowage plan case that has the highest similarity and has been resolved in the past as a reference for arranging. The Case-Based Reasoning method has four-stage, there are Retrieve, Reuse, Revise, Retain. The Reuse stage is to adapt the Container Loading List so that it is arranged to resemble the case that was taken at the Retrieve stage. Algorithms for the Reuse stage of the Case-Based Reasoning Method has been designed and obtained the Container Loading List Adaptation, Fill-Blank, Adding the Remaining Container, Trim Optimization, and GM Optimization Functions. The functions can be implemented in software design and automatically or manually arranged the containers based on Casebase. Hence, users make the new stowage plans easier and faster. Based on the results of software testing, the difference between LCB and LCG is less than 1% LBP so that the Trim was fulfilled, and GM obtained a positive value so that the ship was in a stable condition.
The theft criminality forecasting in the surabaya district police region using poisson GARMA model and negative binomial GARMA model
Authors: Wardhani L P , Indrawati D , Wahyuningsih N , Setiawan  , Suhartono  , Kuswanto H
Published: June 2020

Theft is a crime that often occurs in the community. According to the Police, theft consists of ordinary theft, petty theft, weight theft, and theft of violence. According to BPS, the highest number of incidents of theft occurred during 2018, one of which was in the Surabaya City Police Region. Based on these facts forecasting is done to provide material for consideration of the number of incidents of theft in the future. Forecasting generally uses the ARMA model. The ARMA model is less suitable for use in count data. The ARMA model was developed into the GARMA model if the data is assumed to be a Poisson distribution called the Poisson GARMA model. If the data is assumed to be a Negative Binomial distribution is called the Negative Binomial GARMA model. The estimation of the Poisson GARMA model and the Binomial Negative GARMA model uses MLE and is optimized using IRLS. This model is applied in cases of theft crimes in the Surabaya City Police Region and compares the accuracy of forecasting between the Poisson GARMA model and the Negative Binomial GARMA model. Based on the analysis carried out, the Negative Binomial GARMA (1.0) model is better for Central Surabaya, East Surabaya, and South Surabaya than Poisson GARMA (1.0) model. The Negative Binomial GARMA (0.2) model is better for the West Surabaya region rather than the Poisson GARMA (0.2) model. The best model in the Surabaya City Police Region area is the Binomial Negative GARMA (0.2) model in the West Surabaya region. The selection of the best model uses the lowest value of AIC.
Maximizing operating speed of an interval control system with a robust controller on a base of a root approach to synthesis
Authors: Gayvoronskiy S A , Ezangina T , Khozhaev I
Published: June 2020

The paper is dedicated to a problem of improving operating speed of control systems with interval parameters. Solution of the problem reduces to finding values of controller parameters providing minimal setting time of a system with the worst combination of values of interval parameters. Controller synthesis is proposed to be performed on a base of interval characteristic polynomial of a system on a base of maximal stability degree criterion. The research resulted in a synthesis algorithm based on an interval extension of mathematical programming method. Example of synthesizing a robust controller providing maximal operating speed for a system with interval parameters via the algorithm is also given.
Fuzzy kernel k-medoids application with fisher score feature selection for predicting bank financial failure
Authors: Rustam Z , Saragih G S
Published: June 2020

The bank financial failure has a huge impact on the real sector, households and can even cause knock-on effects for other banks, therefore is important to predict bank financial failure. Prediction bank financial failure is like an early warning system for bank, because a bankruptcy doesn’t happen suddenly but there are indications that can be detected that is financial statement. Financial statement will be extracted to 6 components of CAMELS. The 2019, we had predicted bank financial failures using random forest with the data that used in Boyacioglu, Kara and Baykan paper (2009), however in this research we will make novelty by using fuzzy kernel k-medoids. Based on our results, fuzzy kernel k-medoids using RBF kernel with σ = 0.1 and 60% composition of training data has 100% for accuracy, sensitivity, precision, specificity, and f-score with 0.9 sec running time. If we compare to our previous research by random forest, fuzzy kernel k-medoids gives the highest accuracy prediction, but if we compare to Boyacioglu, Kara and Baykan research (2009), it’s has the same accuracy but with fuzzy kernel k-medoids, we can use only 60% of training data to learn.
Comparison of multinomial logistic discriminant analysis (mlgda) and classification and regression tree (cart) performance in classifying the impact of working children
Authors: Amri M Z A , Sumertajaya I M , Syafitri U D
Published: June 2020

Working children have some impacts that befall them. They are hampered by access to education, exploited in working hours and even experience the two impacts at the same time. This research focus on applying and comparing the classification performance of the impact of working children by multinomial logistic discriminant analysis (MLgDA) and classification and regression tree (CART). MLgDA is useful for dealing with cases that do not meet the linearity assumption and suitable for data containing numerical and categorical predictors. CART is not affected by outliers, collinearity and heteroscedasticity among predictors. The data sourced from National Labor Force Survey 2018. All predictors are categorical and characteristics between regions are different. More than half of working children in Indonesia face some impacts, reaching 54.31%. The best classification performance is produced by MLgDA, with an accuracy of 78.73%. MLgDA is superior to CART in almost all measures.
Analysis of Factors Affecting Adolescent’s Hypertension in Banda Aceh, Indonesia
Authors: Rahayu L , Munawar  , Kesuma Z M , Aini D
Published: June 2020

Hypertension is a heart and blood vessels disorder characterized by an increase of blood pressure. Hypertension is also known as the silent disease or the silent killer because the patients do not know they had hypertension or not before checking their blood pressure. This research aims to identify any factors that affect hypertension in adolescents and analyze the probability of hypertension in adolescents. The data in this study were obtained from the adolescent nutrition status survey in 2017 in Kota Banda Aceh. The method used to analyzed the data is binary logistic regression method. This method was chosen because the response variable is dichotomous, that is the events of hypertension for adolescents. The results of this research shows that the odds ratio of predictor variables that influenced the incidence of adolescent hypertension was 0.893 (0.835-0.955), 1.052 (1.015-1.091), and nutritional status 0.255 (0.069-0.942) with 95% confidence interval. Based on the model obtained can be known that the probability of hypertension for adolescents and the accuracy level of the model is 96.8%.
Gender Classification Based on Face Recognition using Convolutional Neural Networks (CNNs)
Authors: Yuda R P , Aroef C , Rustam Z , Alatas H
Published: June 2020

Biometrics are physical or behavior characteristics of human that can be used to identify someone. One form of physical characteristics possessed by humans is fingerprints, retinal scanning, face and hand geometry, while one form of behavioral characteristics possessed by humans is handwriting, signatures, mouse usage analysis, walking patterns, etc. Basically, physical characteristics are more easily observed than behavioral characteristics. Therefore, physical characteristics are more often used in many aspects of security. One of the most common physical characteristics is face. By seeing the face, we can find out or predict how old they are, their gender and even their expression. However, there are still many mistakes in predicting a gender through person’s face. In fact, there are still many crimes in falsifying self-identity (such as gender). So, we need a method that is able to classify identity (gender) based on a person’s face appropriately. One method that can be used is Convolutional Neural Networks (CNNs). Later, CNNs will classify a person’s gender (male / female) based on a person’s face image data. And based on.
The Relation between Hölder Continuous Function of Order α ∈ (0,1) and Function of Bounded Variation
Authors: Wibowo S , Kurniawan V Y , Siswanto
Published: June 2020

The Cantor ternary function is the most famous example of a continuous function of bounded variation for which it satisfies the Holder continuous function of order α = log3 2, but does not satisfy for order α = 1. In this paper, based on previous work of Hölder continuous function of order α ∈ (0, 1) and using F
α
- calculus on fractal set F, we show the relation between the Hölder continuous function of order α ∈ (0, 1) and function of bounded variation. In particular, we give the necessary and sufficient condition for the variation of function satisfies Hölder condition or bi-Hölder condition.
An improvement on the chaotic behavior of the Gauss Map for cryptography purposes using the Circle Map combination
Authors: Suryadi MT , Satria Yudi , Prawadika Luqman N
Published: June 2020

Chaos based cryptography has becoming an interesting topic lately, as it utilizes chaotic systems properties for secure key concealment. Many chaotic functions are discovered, constructed, and used time over time for this purpose, which will be our main aim here. Two well known maps that has been known for exhibiting chaotic behaviors are the Gauss Map and the Circle Map, where the Circle Map has unlimited chaos potential, while the Gauss Map’s is much weaker and limited. In this paper, we investigate computationally using Python whether the Gauss Map can be improved by combining it with the Circle Map, allowing exploitation of greater chaotic behaviors. For this purpose, an improved version of the Gauss map is constructed, from which, we plot its bifurcation diagrams and Lyapunov exponents graphics, and show that it has a good potential to be a random number generator (RNG) using the NIST test, as these are the three main aspects of chaotic maps utilized in chaos based cryptography. The results obtained from this observation shows that composing the Circle Map into the Gauss Map, along with several manipulations, generates a significantly improved version of the Gauss Map, as it has a bifurcation diagram with much higher density, much higher Lyapunov exponents, and mostly better P-Values from the NIST tests, although it is still not fully suitable for a RNG. The manipulations done here, which aims to conserve the maps ranges to stay within the chaotic intervals and position the Circle Map to be the “variable” of the Gauss Map, allows the chaotic behaviors from the original maps to be bequeathed and strengthened in the new map.
Classification of thalassemia data using random forest algorithm
Authors: Aszhari F R , Rustam Z , Subroto F , Semendawai A S
Published: June 2020

Thalassemia is a blood disorder that occurred in Southeast Asia. Thalassemia cannot be cured, but early detected thalassemia with screening process is the best way to prevent thalassemia disease. If early detection is done, patients can get the right treatment. It helps them increase their life expectancy and reduce the risk of thalassemia to the next generation. In this paper, we use thalassemia data and propose a random forest method to classify thalassemia disease well and accurately. The result concludes that the random forest algorithm can give the best accuracy, precision and recall which is 100 percent by using multiple five in range of 70 to 85 percent as the training data.
Identification of topics in News Articles Using Algorithm of Porter Stemmer Enhancement and Likelihood Classifier
Authors: Rukmi Alvida Mustika , Andriyani Devi , Mukhlas Imam
Published: June 2020

Every piece of information contained in a story sometimes has a variety of themes and seems not specific so there is difficulty in digesting information simultaneously. This requires grouping based on the topic relevance of the news. This grouping can make it easier for readers to get the information in accordance with the topic you want to read. Each news group must have different information characteristics so that we need a special algorithm that is able to handle topic discovery and classification using training data on many Indonesian news articles. This research will apply an algorithm of Porter Stemmer Enhancement in the stemming process and Likelihood method for news classification based on categories and identification of topics. Based on the test results using 900 training data and 90 test data, obtained a fairly high accuracy, namely 95.56% for category classification and 97.78% for topic identification.
Sentiment analysis of customer response of telecommunication operator in Twitter using DCNN-SVM Algorithm
Authors: Firdausi I E , Mukhlash I , Gama Athyah D S , Hidayat N
Published: June 2020

Along with the development of the times, social media is in great demand by various circles of society because social media allows users to express their thoughts or feelings freely. It is important for a company to know public responses about the product or service offered. With this public response, companies can analyze customer needs and plan more satisfying products or services. To be able to know the sentiments of responses, it is necessary to classify responses. Therefore, in this study used the Deep Convolutional Neural Network (DCNN) method as a feature extraction and Support Vector Machine (SVM) as its classification. The performance results of this research are 63% for accuracy, 63% for precision, and 50% for recall of test data.
KLEVER: An experiment to measure BR(

KL→π0νν¯

) at the CERN SPS
Authors: Moulson M
Published: June 2020

Precise measurements of the branching ratios for the flavor-changing neutral current decays

K
→
π
ν

ν
¯

can provide unique constraints on CKM unitarity and, potentially, evidence for new physics. It is important to measure both decay modes,

K
+

→

π
+

ν

ν
¯

and

K
L

→

π
0

ν

ν
¯

, since different new physics models affect the rates for each channel differently. The NA62 experiment at the CERN SPS will measure the BR for the charged channel to better than 20%. The BR for the neutral channel has never been measured. We are designing the KLEVER experiment to measure BR(

K
L

→

π
0

ν

ν
¯

) to ∼20% using a high-energy neutral beam at the CERN SPS. The boost from the high-energy beam facilitates the rejection of background channels such as K

L
→ π
0
π
0 by detection of the additional photons in the final state. On the other hand, the layout poses particular challenges for the design of the small-angle vetoes, which must reject photons from K

L
decays escaping through the beam exit amid an intense background from soft photons and neutrons in the beam. We present findings from our design studies, with an emphasis on the challenges faced and the potential sensitivity for the measurement of BR(

K
L

→

π
0

ν

ν
¯

).
A new charged particle detector for the KOTO experiment at J-PARC
Authors: Kim H M
Published: June 2020

We report the performance of a new scintillator array Downstream Charged Veto (DCV) for the J-PARC KOTO experiment to suppress the K

L
→ π
+
π
−
π
0 decay background. Since the background originates from undetected charged pions passing through the beam hole of the electromagnetic calorimeter, the DCV detector was installed in vacuum downstream of the calorimeter. The DCV is composed of two plastic scintillator pipes read out by Multi Pixel Photon Counters through wavelength shifting fibers. The light yield was found to be 60 photoelectrons/0.8 MeV in a test bench when cosmic-rays pass through the center of the DCV. Energy calibration was performed using cosmic-rays after installation.
Object detection for autonomous search and rescue quadrotor application
Authors: Taqwim Safrudin Ahsanu , Darma Surya , Sukirno Santoso
Published: June 2020

Indonesia is located in the ring of fire zone. It causes a high risk of disaster threats. Volcanoes and earthquakes are unpredictable sources of natural disaster in a massive size, which many times caused an inaccessible area. We need to prepare how to overcome this situation. Quadrotor is an aerial vehicle that can access the disaster location easily and passing through many obstacles. Its autonomous ability can increase searching efficiency. Object detection will be a primary parameter which responsible to move the quadrotor. In this paper, we proposed to use cascaded Canny Edge with SURF clarified with SIFT to get more robust detection in real-time application. Our method is using image detection in guiding the quadrotor movements. First, we detect the object by cascaded Canny Edge with SURF and ORB, both of them checks whether the target is true or not. When both methods approved that target have been detected, then the process uses only the cascaded Canny Edge with SURF methods to locate the victims and to decrease the image processing time. Output of this image detection method applies into our quadrotor control movements, by using simple Proportional Integral Derivative (PID) control. This visual feedback control guides the quadrotor flies to the target and note the victim position and reported in its log. This paper will also provide data comparison between our method with the only SURF and the only ORB method to do the same task.
Comparison between two-stage and three-stage Peltier thermoelectric coolers driven by pulse width modulation
Authors: Kamasi Daniel D. , Zainulloh Muhammad , Nadhir Ahmad , Sakti Setyawan P.
Published: June 2020

Thermoelectric device is one of electronic devices commonly used as temperature sensors, electrical generators, and cooling devices. Peltier thermoelectric cooler as a promising device offers greater performance in terms of electronic cooler, especially for computer components. However, the performance of single-stage thermoelectric cooler is limited. For certain optoelectronic devices, it cannot achieve a desired temperature to pump heat from the devices. In addition, to drive temperature of the thermoelectric coolers, a complex interface circuit should be made. In this research, two-stage and three-stage cascaded Thermoelectric Coolers driven by Pulse Width Modulation using Arduino and H-bridge Motor Driver were examined. The three-stage Peltier thermoelectric cooler showed better performance than the two-stage, where it achieved higher temperature difference between hot and cold. Both cascaded thermoelectric coolers had distinct temperatures in each interstage connection, with increasing values from near cold side to near hot side.
Fog prediction using artificial intelligence: A case study in Wamena Airport
Authors: Dewi Ristiana , Prawito  , Harsa Hastuadi
Published: June 2020

Fog is one of the atmospheric phenomena that affect airport operations. It can reduce visibility which impacts flight operations (taxiing, take-off, landing). Therefore, fog prediction is needed to support flight safety. The biggest challenge in making weather predictions is the chaotic and complicated process of the atmosphere. This research tries to use artificial intelligence (AI) to predict fog events at Wamena Airport. Design of model prediction using hourly synoptic data set from January 2015 till May 2018. Variables input such as dry ball temperature, wet ball temperature, dew point, relative humidity, cloud cover, wind direction, wind speed, visibility, and present weather for the past six hours ago are used to predict fog or no fog events. We performed a grid search parameter tuning on five algorithms such as Distributed Random Forest (DFR), Deep Learning (DL), Gradient Boosting Machine (GBM), Generalized Linear Model (GLM), and Extreme Randomized Tree (XRT). The best model is obtained from the ensemble model Stacked Ensemble (SE) with an accuracy of above 90% for the fog forecast from one to three hours later.
Monitoring distribution system of carbon monoxide and surface ozone based on GPS and microcontroller
Authors: Indrawan A , Sudarmaji A , Ihsan F R
Published: June 2020

Jakarta is the most populous city in Indonesia. This is directly proportional to the increasing number of motorized vehicles in Jakarta. The number of Jakarta motorized vehicles causes air pollution in Jakarta to become uncontrollable. Air pollution is the presence of one or more physical, chemical or biological substances in the atmosphere in an amount that can endanger the health of living things. Ozone and Carbon Monoxide, including dangerous elements that exist in air pollution. Ozone is a pollutant that causes significant respiratory disease. Carbon Monoxide is dangerous because it can form compounds with Hemoglobin to form HbCO, and this is toxic to the blood. We can find out the quality of the air somewhere, through the content of Ozone and Carbon Monoxide in the area. At present the number of Ozone and Carbon Monoxide gauges in Indonesia is still small, so that not all regions have been monitored for air quality conditions. The purpose of this design is to determine the level of air quality and to monitor ozone gas and carbon monoxide automatically based on Global Positioning System (GPS) and portable. This system was built using Arduino Mega 2560 (used as a controller), ozone sensor, Carbon Monoxide gas sensor and GPS (used as a timing and determinant of location). Programming is done using the Arduino IDE application. The measurement results are stored using a microSD Card, and displayed on the LCD. This system can inform the condition of air quality in an area, because this tool is portable (can be carried anywhere), in real time and data generated every second.
Measurements and analysis of crystal structures of activated carbon of empty fruit bunch from oil palm biomass waste
Authors: Ikhsan M , Ramli R
Published: June 2020

The purpose of this research is to measure and analyze the properties of activated carbon from biomass waste of palm oil empty fruit bunch by using x-ray diffraction (XRD). Biomass waste that has been clean and dried is carbonated at 400°C for 10 minutes to produce charcoal. Next, the charcoal is activated through a chemical process with the activating agent NaOH by soaking it for twelve hours. Activated carbon with 2N activated agent NaOH have the best properties because it has a largest surface area (27.07). The results of this research are useful for technological developments of activated carbon, and provide an economic added value to biomass waste.
Implementation of artificial neural networks for very short range weather prediction
Authors: Wanugroho G B , Martarizal  , Putra R M
Published: June 2020

Weather conditions are a significant factor for various sectors such as transportation safety, development, health, etc. Therefore, high development is needed in forecasting future weather conditions. Many ways are used to predict weather conditions. Along with the development of technology now, weather prediction can be made using Artificial Intelligence (AI) technology or artificial intelligence so that the results obtained are more optimal. In this study, the artificial neural network used has a feedforward neural network algorithm using training data consisting of temperature, air pressure, air humidity, wind speed, hourly wind speed at the Juanda Meteorological Station in Surabaya in Januari 2019 with the target is intensity of rainfall. Furthermore, the data was released in the period of 1 January 2019 to 31 Januari 2019. Based on the analysis results, the Artificial Neural Network model has a fairly good performance in predicting an increase in rainfall in Surabaya. The best model is considered by a model with architecture 7 - 60 - 1 with an estimate correlation is 0.87, with an error value of -0.03. With this model, it is expected to become one of the forecaster considerations in making special weather forecasts at intervals every hour.
Measurement and analysis of air quality impacts caused by CO and NO2 on Margonda Raya street Depok
Authors: Larasari H.A. , Soekirno S. , Simanullang R.
Published: June 2020

Based on data from the Central Statistics Agency (BPS) in 2019, the population of the City of Depok has now jumped to 2,254,513 people. Analysis of air quality is important for the people of Depok. The biggest ambient air parameters are Nitrogen Dioxide (NO2) and Carbon Monoxide (CO). Land transportation activities are among the biggest causes of decreasing air quality in the city of Depok. One type of land transportation is motor vehicles. A high growth rate of motor vehicles can cause a serious impact on the environment. Traffic jams and noise can cause air pollution. This research was conducted around Margonda Raya Street. In this research, the components used are Arduino Mega 2560 Microcontroller, SHT11 Temperature and Humidity Sensor, MQ-7 CO Sensor, MQ-135 NO2 Sensor, Wi-Fi Module ESP8266, Wind Direction and Wind Speed JL-FS2 Sensor. Data from the designed tool will then be sent to the cloud server which will then be collected in a web-based application. The results will be analyzed to determine for fluctuations in CO and NO2 gas concentrations and the impact of CO and NO2 on air quality around Margonda Raya Street Depok. The MQ-7 and MQ-135 Sensor test results show a very strong correlation value with the value R2 = 0.9906 for MQ-7 and R2 = 0.9988 for MQ-135. The results of the test show that in the Region has the highest CO value of 202.67 around 3:00 to 4:00 p.m. and the highest NO2 value of 227.34 around 2:00 p.m., the data values of CO and NO2 are still in the medium category, this is related to the decline in community activities on weekends.
Calibration of mechanical systems of in-house dynamic thorax phantom for radiotherapy dosimetry
Authors: Wijanarko S , Sudarmaji A , Pawiro S A
Published: June 2020

The purpose of this study is to calibration a mechanical system of In-house Dynamic Thorax Phantom so that it can be used as a dosimetry on the Radiotherapy Real-Time Position Management (RPM) technique. In order to ensure the RPM technique had properly function, we need to employ a quality control tool that represents moving objects on the human body. Inspired by the CIRS Dynamic Thorax Phantom model 008A, we developed an In-house Dynamic Thorax Phantom using three Nema-17 stepper motors with 200 steps in a cycle as a mechanical system. In addition, the first stepper motor was used to move objects in superior-inferior direction; the second one was used to move the RPM marker in anterior-posterior direction; while the third one was used to move objects in rotation. Calibration of mechanical system was performed by finding out the number of counts needed each direction. Especially for rotational system, they were calibrated with Optical Interrupt Device. The result of calibration of the mechanical system between the actual readings compared with the system specification is 0.0% and < 1% for the measurement testing.